{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "e81d95c6",
   "metadata": {
    "papermill": {
     "duration": 0.001439,
     "end_time": "2026-05-27T19:59:54.839108+00:00",
     "exception": false,
     "start_time": "2026-05-27T19:59:54.837669+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Differential Microstrip Modes\n",
    "\n",
    "This notebook builds a boxed differential microstrip cross-section (substrate + air + ground plane + two PEC strips), solves eigenmodes, and plots the first fields."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "beb0233b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-27T19:59:54.845928Z",
     "iopub.status.busy": "2026-05-27T19:59:54.845706Z",
     "iopub.status.idle": "2026-05-27T19:59:55.642273Z",
     "shell.execute_reply": "2026-05-27T19:59:55.641564Z"
    },
    "papermill": {
     "duration": 0.80004,
     "end_time": "2026-05-27T19:59:55.643198+00:00",
     "exception": false,
     "start_time": "2026-05-27T19:59:54.843158+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from palacetoolkit.mode_solver import WaveguideModeSolver\n",
    "from palacetoolkit.utils import view_fe_mesh_2d, view_fields_2d, write_and_finalize_gmsh\n",
    "from palacetoolkit.viz import view_mesh\n",
    "\n",
    "import gmsh\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e1c45668",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-27T19:59:55.649362Z",
     "iopub.status.busy": "2026-05-27T19:59:55.649128Z",
     "iopub.status.idle": "2026-05-27T19:59:55.657593Z",
     "shell.execute_reply": "2026-05-27T19:59:55.657070Z"
    },
    "papermill": {
     "duration": 0.01359,
     "end_time": "2026-05-27T19:59:55.658040+00:00",
     "exception": false,
     "start_time": "2026-05-27T19:59:55.644450+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def make_differential_microstrip_mesh(\n",
    "    box_w=8.0,\n",
    "    h_sub=1.0,\n",
    "    h_air=3.0,\n",
    "    strip_w=0.8,\n",
    "    strip_gap=0.5,\n",
    "    strip_t=0.06,\n",
    "    lc_bulk=0.18,\n",
    "    lc_strip=0.05,\n",
    "    filename=None,\n",
    "):\n",
    "    gmsh.initialize()\n",
    "    gmsh.option.setNumber(\"General.Verbosity\", 0)\n",
    "    gmsh.model.add(\"differential_microstrip_modes\")\n",
    "\n",
    "    sub = gmsh.model.occ.addRectangle(-box_w / 2, -h_sub, 0, box_w, h_sub)\n",
    "    air = gmsh.model.occ.addRectangle(-box_w / 2, 0.0, 0, box_w, h_air)\n",
    "\n",
    "    x1 = -(strip_gap / 2 + strip_w)\n",
    "    x2 = strip_gap / 2\n",
    "    strip_p = gmsh.model.occ.addRectangle(x1, 0.0, 0, strip_w, strip_t)\n",
    "    strip_n = gmsh.model.occ.addRectangle(x2, 0.0, 0, strip_w, strip_t)\n",
    "\n",
    "    _, outmap = gmsh.model.occ.fragment([(2, sub), (2, air), (2, strip_p), (2, strip_n)], [])\n",
    "    gmsh.model.occ.remove(list(outmap[2]) + list(outmap[3]), recursive=True)\n",
    "    gmsh.model.occ.synchronize()\n",
    "\n",
    "    all_surfs = [t for _, t in gmsh.model.getEntities(2)]\n",
    "    substrate_surfs = []\n",
    "    air_surfs = []\n",
    "    for tag in all_surfs:\n",
    "        _, cy, _ = gmsh.model.occ.getCenterOfMass(2, tag)\n",
    "        if cy < -1e-9:\n",
    "            substrate_surfs.append(tag)\n",
    "        else:\n",
    "            air_surfs.append(tag)\n",
    "\n",
    "    gmsh.model.addPhysicalGroup(2, substrate_surfs, tag=1, name=\"substrate\")\n",
    "    gmsh.model.addPhysicalGroup(2, air_surfs, tag=2, name=\"air\")\n",
    "\n",
    "    bnd = gmsh.model.getBoundary([(2, t) for t in substrate_surfs + air_surfs], oriented=False, combined=False)\n",
    "    edge_tags = sorted({abs(t) for _, t in bnd})\n",
    "\n",
    "    strip_p_edges = []\n",
    "    strip_n_edges = []\n",
    "    ground_edges = []\n",
    "    open_edges = []\n",
    "\n",
    "    c1 = x1 + strip_w / 2\n",
    "    c2 = x2 + strip_w / 2\n",
    "    for et in edge_tags:\n",
    "        ex, ey, _ = gmsh.model.occ.getCenterOfMass(1, et)\n",
    "        on_strip_y = (-1e-6 <= ey <= strip_t + 1e-6)\n",
    "\n",
    "        if on_strip_y and abs(ex - c1) <= strip_w / 2 + 1e-6:\n",
    "            strip_p_edges.append(et)\n",
    "        elif on_strip_y and abs(ex - c2) <= strip_w / 2 + 1e-6:\n",
    "            strip_n_edges.append(et)\n",
    "        elif abs(ey + h_sub) <= 1e-6:\n",
    "            ground_edges.append(et)\n",
    "        else:\n",
    "            open_edges.append(et)\n",
    "\n",
    "    if ground_edges:\n",
    "        gmsh.model.addPhysicalGroup(1, ground_edges, tag=1, name=\"ground_plane\")\n",
    "    if strip_p_edges:\n",
    "        gmsh.model.addPhysicalGroup(1, strip_p_edges, tag=2, name=\"strip_p\")\n",
    "    if strip_n_edges:\n",
    "        gmsh.model.addPhysicalGroup(1, strip_n_edges, tag=3, name=\"strip_n\")\n",
    "    if open_edges:\n",
    "        gmsh.model.addPhysicalGroup(1, open_edges, tag=4, name=\"open_boundary\")\n",
    "\n",
    "    for _, ptag in gmsh.model.getEntities(0):\n",
    "        x, y, _ = gmsh.model.getValue(0, ptag, [])\n",
    "        near_pair = (abs(x) <= (strip_gap / 2 + strip_w + 0.8) and -0.1 <= y <= strip_t + 0.5)\n",
    "        gmsh.model.mesh.setSize([(0, ptag)], lc_strip if near_pair else lc_bulk)\n",
    "\n",
    "    gmsh.model.mesh.generate(2)\n",
    "    return write_and_finalize_gmsh(filename, prefix=\"wg_diffms_\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "67e95f8d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-27T19:59:55.660734Z",
     "iopub.status.busy": "2026-05-27T19:59:55.660602Z",
     "iopub.status.idle": "2026-05-27T19:59:55.662921Z",
     "shell.execute_reply": "2026-05-27T19:59:55.662385Z"
    },
    "papermill": {
     "duration": 0.004271,
     "end_time": "2026-05-27T19:59:55.663379+00:00",
     "exception": false,
     "start_time": "2026-05-27T19:59:55.659108+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "eps_sub = 4.0\n",
    "eps_air = 1.0\n",
    "mu_r = 1.0\n",
    "omega = 16.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d5578b59",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-27T19:59:55.665910Z",
     "iopub.status.busy": "2026-05-27T19:59:55.665790Z",
     "iopub.status.idle": "2026-05-27T20:00:09.560562Z",
     "shell.execute_reply": "2026-05-27T20:00:09.560059Z"
    },
    "papermill": {
     "duration": 13.900305,
     "end_time": "2026-05-27T20:00:09.564714+00:00",
     "exception": false,
     "start_time": "2026-05-27T19:59:55.664409+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading mesh file: /tmp/wg_diffms_str8ia0a.msh\n",
      "Groups to render transparent: ['air_none', 'air_plastic_enclosure']\n",
      "\n",
      "Mesh loaded successfully with 2 cell blocks\n",
      "Found 5826 triangles total\n",
      "Physical group tags in mesh: {1: 'substrate', 2: 'air'}\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div><iframe srcdoc=\"&lt;!doctype html&gt;\n",
       "&lt;html lang=&quot;en&quot;&gt;\n",
       "  &lt;head&gt;\n",
       "    &lt;meta charset=&quot;utf-8&quot; /&gt;\n",
       "    &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width, initial-scale=1&quot; /&gt;\n",
       "    &lt;title&gt;VTK.js | Example - OfflineLocalView&lt;/title&gt;\n",
       "    &lt;style&gt;\n",
       "      html, body { margin: 0; padding: 0; height: 100%; }\n",
       "      body { font-family: sans-serif; }\n",
       "    &lt;/style&gt;\n",
       "  &lt;/head&gt;\n",
       "  &lt;body&gt;\n",
       "    &lt;div id=&quot;vtk-root&quot; style=&quot;height:100%; width:100%;&quot;&gt;&lt;/div&gt;\n",
       "    &lt;script&gt;\n",
       "      window.global = window.global || {};\n",
       "    &lt;/script&gt;\n",
       "    &lt;script&gt;var OfflineLocalView=function(e){&quot;use strict&quot;;const t=document.querySelector(&quot;head&quot;);t&amp;&amp;[16,32,96,160,196].forEach((e=&gt;{const n=document.createElement(&quot;link&quot;);n.setAttribute(&quot;rel&quot;,&quot;icon&quot;),n.setAttribute(&quot;href&quot;,`https://kitware.github.io/vtk-js/icon/favicon-${e}x${e}.png`),n.setAttribute(&quot;sizes&quot;,`${e}x${e}`),n.setAttribute(&quot;type&quot;,&quot;image/png&quot;),t.appendChild(n)}));var n=1e-6,r=&quot;undefined&quot;!=typeof Float32Array?Float32Array:Array,o=Math.PI/180;function a(e){return e*o}function i(){var e=new r(9);return r!=Float32Array&amp;&amp;(e[1]=0,e[2]=0,e[3]=0,e[5]=0,e[6]=0,e[7]=0),e[0]=1,e[4]=1,e[8]=1,e}function s(e,t){return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[4],e[4]=t[5],e[5]=t[6],e[6]=t[8],e[7]=t[9],e[8]=t[10],e}function l(e,t,n,r,o,a,i,s,l,c){return e[0]=t,e[1]=n,e[2]=r,e[3]=o,e[4]=a,e[5]=i,e[6]=s,e[7]=l,e[8]=c,e}function c(e){return e[0]=1,e[1]=0,e[2]=0,e[3]=0,e[4]=1,e[5]=0,e[6]=0,e[7]=0,e[8]=1,e}function u(e,t){if(e===t){var n=t[1],r=t[2],o=t[5];e[1]=t[3],e[2]=t[6],e[3]=n,e[5]=t[7],e[6]=r,e[7]=o}else e[0]=t[0],e[1]=t[3],e[2]=t[6],e[3]=t[1],e[4]=t[4],e[5]=t[7],e[6]=t[2],e[7]=t[5],e[8]=t[8];return e}function d(e,t){var n=t[0],r=t[1],o=t[2],a=t[3],i=t[4],s=t[5],l=t[6],c=t[7],u=t[8],d=u*i-s*c,p=-u*a+s*l,f=c*a-i*l,g=n*d+r*p+o*f;return g?(g=1/g,e[0]=d*g,e[1]=(-u*r+o*c)*g,e[2]=(s*r-o*i)*g,e[3]=p*g,e[4]=(u*n-o*l)*g,e[5]=(-s*n+o*a)*g,e[6]=f*g,e[7]=(-c*n+r*l)*g,e[8]=(i*n-r*a)*g,e):null}function p(e,t,n){var r=t[0],o=t[1],a=t[2],i=t[3],s=t[4],l=t[5],c=t[6],u=t[7],d=t[8],p=n[0],f=n[1],g=n[2],m=n[3],h=n[4],v=n[5],T=n[6],x=n[7],y=n[8];return e[0]=p*r+f*i+g*c,e[1]=p*o+f*s+g*u,e[2]=p*a+f*l+g*d,e[3]=m*r+h*i+v*c,e[4]=m*o+h*s+v*u,e[5]=m*a+h*l+v*d,e[6]=T*r+x*i+y*c,e[7]=T*o+x*s+y*u,e[8]=T*a+x*l+y*d,e}function f(e,t,n){return e[0]=t[0]-n[0],e[1]=t[1]-n[1],e[2]=t[2]-n[2],e[3]=t[3]-n[3],e[4]=t[4]-n[4],e[5]=t[5]-n[5],e[6]=t[6]-n[6],e[7]=t[7]-n[7],e[8]=t[8]-n[8],e}Math.hypot||(Math.hypot=function(){for(var e=0,t=arguments.length;t--;)e+=arguments[t]*arguments[t];return Math.sqrt(e)});var g=p,m=f,h=Object.freeze({__proto__:null,create:i,fromMat4:s,clone:function(e){var t=new r(9);return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t},copy:function(e,t){return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e},fromValues:function(e,t,n,o,a,i,s,l,c){var u=new r(9);return u[0]=e,u[1]=t,u[2]=n,u[3]=o,u[4]=a,u[5]=i,u[6]=s,u[7]=l,u[8]=c,u},set:l,identity:c,transpose:u,invert:d,adjoint:function(e,t){var n=t[0],r=t[1],o=t[2],a=t[3],i=t[4],s=t[5],l=t[6],c=t[7],u=t[8];return e[0]=i*u-s*c,e[1]=o*c-r*u,e[2]=r*s-o*i,e[3]=s*l-a*u,e[4]=n*u-o*l,e[5]=o*a-n*s,e[6]=a*c-i*l,e[7]=r*l-n*c,e[8]=n*i-r*a,e},determinant:function(e){var t=e[0],n=e[1],r=e[2],o=e[3],a=e[4],i=e[5],s=e[6],l=e[7],c=e[8];return t*(c*a-i*l)+n*(-c*o+i*s)+r*(l*o-a*s)},multiply:p,translate:function(e,t,n){var r=t[0],o=t[1],a=t[2],i=t[3],s=t[4],l=t[5],c=t[6],u=t[7],d=t[8],p=n[0],f=n[1];return e[0]=r,e[1]=o,e[2]=a,e[3]=i,e[4]=s,e[5]=l,e[6]=p*r+f*i+c,e[7]=p*o+f*s+u,e[8]=p*a+f*l+d,e},rotate:function(e,t,n){var r=t[0],o=t[1],a=t[2],i=t[3],s=t[4],l=t[5],c=t[6],u=t[7],d=t[8],p=Math.sin(n),f=Math.cos(n);return e[0]=f*r+p*i,e[1]=f*o+p*s,e[2]=f*a+p*l,e[3]=f*i-p*r,e[4]=f*s-p*o,e[5]=f*l-p*a,e[6]=c,e[7]=u,e[8]=d,e},scale:function(e,t,n){var r=n[0],o=n[1];return e[0]=r*t[0],e[1]=r*t[1],e[2]=r*t[2],e[3]=o*t[3],e[4]=o*t[4],e[5]=o*t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e},fromTranslation:function(e,t){return e[0]=1,e[1]=0,e[2]=0,e[3]=0,e[4]=1,e[5]=0,e[6]=t[0],e[7]=t[1],e[8]=1,e},fromRotation:function(e,t){var n=Math.sin(t),r=Math.cos(t);return e[0]=r,e[1]=n,e[2]=0,e[3]=-n,e[4]=r,e[5]=0,e[6]=0,e[7]=0,e[8]=1,e},fromScaling:function(e,t){return e[0]=t[0],e[1]=0,e[2]=0,e[3]=0,e[4]=t[1],e[5]=0,e[6]=0,e[7]=0,e[8]=1,e},fromMat2d:function(e,t){return e[0]=t[0],e[1]=t[1],e[2]=0,e[3]=t[2],e[4]=t[3],e[5]=0,e[6]=t[4],e[7]=t[5],e[8]=1,e},fromQuat:function(e,t){var n=t[0],r=t[1],o=t[2],a=t[3],i=n+n,s=r+r,l=o+o,c=n*i,u=r*i,d=r*s,p=o*i,f=o*s,g=o*l,m=a*i,h=a*s,v=a*l;return e[0]=1-d-g,e[3]=u-v,e[6]=p+h,e[1]=u+v,e[4]=1-c-g,e[7]=f-m,e[2]=p-h,e[5]=f+m,e[8]=1-c-d,e},normalFromMat4:function(e,t){var n=t[0],r=t[1],o=t[2],a=t[3],i=t[4],s=t[5],l=t[6],c=t[7],u=t[8],d=t[9],p=t[10],f=t[11],g=t[12],m=t[13],h=t[14],v=t[15],T=n*s-r*i,x=n*l-o*i,y=n*c-a*i,b=r*l-o*s,A=r*c-a*s,C=o*c-a*l,S=u*m-d*g,P=u*h-p*g,w=u*v-f*g,I=d*h-p*m,O=d*v-f*m,R=p*v-f*h,M=T*R-x*O+y*I+b*w-A*P+C*S;return M?(M=1/M,e[0]=(s*R-l*O+c*I)*M,e[1]=(l*w-i*R-c*P)*M,e[2]=(i*O-s*w+c*S)*M,e[3]=(o*O-r*R-a*I)*M,e[4]=(n*R-o*w+a*P)*M,e[5]=(r*w-n*O-a*S)*M,e[6]=(m*C-h*A+v*b)*M,e[7]=(h*y-g*C-v*x)*M,e[8]=(g*A-m*y+v*T)*M,e):null},projection:function(e,t,n){return e[0]=2/t,e[1]=0,e[2]=0,e[3]=0,e[4]=-2/n,e[5]=0,e[6]=-1,e[7]=1,e[8]=1,e},str:function(e){return&quot;mat3(&quot;+e[0]+&quot;, &quot;+e[1]+&quot;, &quot;+e[2]+&quot;, &quot;+e[3]+&quot;, &quot;+e[4]+&quot;, &quot;+e[5]+&quot;, &quot;+e[6]+&quot;, &quot;+e[7]+&quot;, &quot;+e[8]+&quot;)&quot;},frob:function(e){return Math.hypot(e[0],e[1],e[2],e[3],e[4],e[5],e[6],e[7],e[8])},add:function(e,t,n){return e[0]=t[0]+n[0],e[1]=t[1]+n[1],e[2]=t[2]+n[2],e[3]=t[3]+n[3],e[4]=t[4]+n[4],e[5]=t[5]+n[5],e[6]=t[6]+n[6],e[7]=t[7]+n[7],e[8]=t[8]+n[8],e},subtract:f,multiplyScalar:function(e,t,n){return e[0]=t[0]*n,e[1]=t[1]*n,e[2]=t[2]*n,e[3]=t[3]*n,e[4]=t[4]*n,e[5]=t[5]*n,e[6]=t[6]*n,e[7]=t[7]*n,e[8]=t[8]*n,e},multiplyScalarAndAdd:function(e,t,n,r){return e[0]=t[0]+n[0]*r,e[1]=t[1]+n[1]*r,e[2]=t[2]+n[2]*r,e[3]=t[3]+n[3]*r,e[4]=t[4]+n[4]*r,e[5]=t[5]+n[5]*r,e[6]=t[6]+n[6]*r,e[7]=t[7]+n[7]*r,e[8]=t[8]+n[8]*r,e},exactEquals:function(e,t){return e[0]===t[0]&amp;&amp;e[1]===t[1]&amp;&amp;e[2]===t[2]&amp;&amp;e[3]===t[3]&amp;&amp;e[4]===t[4]&amp;&amp;e[5]===t[5]&amp;&amp;e[6]===t[6]&amp;&amp;e[7]===t[7]&amp;&amp;e[8]===t[8]},equals:function(e,t){var r=e[0],o=e[1],a=e[2],i=e[3],s=e[4],l=e[5],c=e[6],u=e[7],d=e[8],p=t[0],f=t[1],g=t[2],m=t[3],h=t[4],v=t[5],T=t[6],x=t[7],y=t[8];return Math.abs(r-p)&lt;=n*Math.max(1,Math.abs(r),Math.abs(p))&amp;&amp;Math.abs(o-f)&lt;=n*Math.max(1,Math.abs(o),Math.abs(f))&amp;&amp;Math.abs(a-g)&lt;=n*Math.max(1,Math.abs(a),Math.abs(g))&amp;&amp;Math.abs(i-m)&lt;=n*Math.max(1,Math.abs(i),Math.abs(m))&amp;&amp;Math.abs(s-h)&lt;=n*Math.max(1,Math.abs(s),Math.abs(h))&amp;&amp;Math.abs(l-v)&lt;=n*Math.max(1,Math.abs(l),Math.abs(v))&amp;&amp;Math.abs(c-T)&lt;=n*Math.max(1,Math.abs(c),Math.abs(T))&amp;&amp;Math.abs(u-x)&lt;=n*Math.max(1,Math.abs(u),Math.abs(x))&amp;&amp;Math.abs(d-y)&lt;=n*Math.max(1,Math.abs(d),Math.abs(y))},mul:g,sub:m});function v(){var e=new r(16);return r!=Float32Array&amp;&amp;(e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[11]=0,e[12]=0,e[13]=0,e[14]=0),e[0]=1,e[5]=1,e[10]=1,e[15]=1,e}function T(e,t){return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}function x(e){return e[0]=1,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=1,e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[10]=1,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e}function y(e,t){if(e===t){var n=t[1],r=t[2],o=t[3],a=t[6],i=t[7],s=t[11];e[1]=t[4],e[2]=t[8],e[3]=t[12],e[4]=n,e[6]=t[9],e[7]=t[13],e[8]=r,e[9]=a,e[11]=t[14],e[12]=o,e[13]=i,e[14]=s}else e[0]=t[0],e[1]=t[4],e[2]=t[8],e[3]=t[12],e[4]=t[1],e[5]=t[5],e[6]=t[9],e[7]=t[13],e[8]=t[2],e[9]=t[6],e[10]=t[10],e[11]=t[14],e[12]=t[3],e[13]=t[7],e[14]=t[11],e[15]=t[15];return e}function b(e,t){var n=t[0],r=t[1],o=t[2],a=t[3],i=t[4],s=t[5],l=t[6],c=t[7],u=t[8],d=t[9],p=t[10],f=t[11],g=t[12],m=t[13],h=t[14],v=t[15],T=n*s-r*i,x=n*l-o*i,y=n*c-a*i,b=r*l-o*s,A=r*c-a*s,C=o*c-a*l,S=u*m-d*g,P=u*h-p*g,w=u*v-f*g,I=d*h-p*m,O=d*v-f*m,R=p*v-f*h,M=T*R-x*O+y*I+b*w-A*P+C*S;return M?(M=1/M,e[0]=(s*R-l*O+c*I)*M,e[1]=(o*O-r*R-a*I)*M,e[2]=(m*C-h*A+v*b)*M,e[3]=(p*A-d*C-f*b)*M,e[4]=(l*w-i*R-c*P)*M,e[5]=(n*R-o*w+a*P)*M,e[6]=(h*y-g*C-v*x)*M,e[7]=(u*C-p*y+f*x)*M,e[8]=(i*O-s*w+c*S)*M,e[9]=(r*w-n*O-a*S)*M,e[10]=(g*A-m*y+v*T)*M,e[11]=(d*y-u*A-f*T)*M,e[12]=(s*P-i*I-l*S)*M,e[13]=(n*I-r*P+o*S)*M,e[14]=(m*x-g*b-h*T)*M,e[15]=(u*b-d*x+p*T)*M,e):null}function A(e,t,n){var r=t[0],o=t[1],a=t[2],i=t[3],s=t[4],l=t[5],c=t[6],u=t[7],d=t[8],p=t[9],f=t[10],g=t[11],m=t[12],h=t[13],v=t[14],T=t[15],x=n[0],y=n[1],b=n[2],A=n[3];return e[0]=x*r+y*s+b*d+A*m,e[1]=x*o+y*l+b*p+A*h,e[2]=x*a+y*c+b*f+A*v,e[3]=x*i+y*u+b*g+A*T,x=n[4],y=n[5],b=n[6],A=n[7],e[4]=x*r+y*s+b*d+A*m,e[5]=x*o+y*l+b*p+A*h,e[6]=x*a+y*c+b*f+A*v,e[7]=x*i+y*u+b*g+A*T,x=n[8],y=n[9],b=n[10],A=n[11],e[8]=x*r+y*s+b*d+A*m,e[9]=x*o+y*l+b*p+A*h,e[10]=x*a+y*c+b*f+A*v,e[11]=x*i+y*u+b*g+A*T,x=n[12],y=n[13],b=n[14],A=n[15],e[12]=x*r+y*s+b*d+A*m,e[13]=x*o+y*l+b*p+A*h,e[14]=x*a+y*c+b*f+A*v,e[15]=x*i+y*u+b*g+A*T,e}function C(e,t,n){var r,o,a,i,s,l,c,u,d,p,f,g,m=n[0],h=n[1],v=n[2];return t===e?(e[12]=t[0]*m+t[4]*h+t[8]*v+t[12],e[13]=t[1]*m+t[5]*h+t[9]*v+t[13],e[14]=t[2]*m+t[6]*h+t[10]*v+t[14],e[15]=t[3]*m+t[7]*h+t[11]*v+t[15]):(r=t[0],o=t[1],a=t[2],i=t[3],s=t[4],l=t[5],c=t[6],u=t[7],d=t[8],p=t[9],f=t[10],g=t[11],e[0]=r,e[1]=o,e[2]=a,e[3]=i,e[4]=s,e[5]=l,e[6]=c,e[7]=u,e[8]=d,e[9]=p,e[10]=f,e[11]=g,e[12]=r*m+s*h+d*v+t[12],e[13]=o*m+l*h+p*v+t[13],e[14]=a*m+c*h+f*v+t[14],e[15]=i*m+u*h+g*v+t[15]),e}function S(e,t,n){var r=n[0],o=n[1],a=n[2];return e[0]=t[0]*r,e[1]=t[1]*r,e[2]=t[2]*r,e[3]=t[3]*r,e[4]=t[4]*o,e[5]=t[5]*o,e[6]=t[6]*o,e[7]=t[7]*o,e[8]=t[8]*a,e[9]=t[9]*a,e[10]=t[10]*a,e[11]=t[11]*a,e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}function P(e,t,r,o){var a,i,s,l,c,u,d,p,f,g,m,h,v,T,x,y,b,A,C,S,P,w,I,O,R=o[0],M=o[1],D=o[2],E=Math.hypot(R,M,D);return E&lt;n?null:(R*=E=1/E,M*=E,D*=E,a=Math.sin(r),s=1-(i=Math.cos(r)),l=t[0],c=t[1],u=t[2],d=t[3],p=t[4],f=t[5],g=t[6],m=t[7],h=t[8],v=t[9],T=t[10],x=t[11],y=R*R*s+i,b=M*R*s+D*a,A=D*R*s-M*a,C=R*M*s-D*a,S=M*M*s+i,P=D*M*s+R*a,w=R*D*s+M*a,I=M*D*s-R*a,O=D*D*s+i,e[0]=l*y+p*b+h*A,e[1]=c*y+f*b+v*A,e[2]=u*y+g*b+T*A,e[3]=d*y+m*b+x*A,e[4]=l*C+p*S+h*P,e[5]=c*C+f*S+v*P,e[6]=u*C+g*S+T*P,e[7]=d*C+m*S+x*P,e[8]=l*w+p*I+h*O,e[9]=c*w+f*I+v*O,e[10]=u*w+g*I+T*O,e[11]=d*w+m*I+x*O,t!==e&amp;&amp;(e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15]),e)}function w(e,t,n){var r=Math.sin(n),o=Math.cos(n),a=t[4],i=t[5],s=t[6],l=t[7],c=t[8],u=t[9],d=t[10],p=t[11];return t!==e&amp;&amp;(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15]),e[4]=a*o+c*r,e[5]=i*o+u*r,e[6]=s*o+d*r,e[7]=l*o+p*r,e[8]=c*o-a*r,e[9]=u*o-i*r,e[10]=d*o-s*r,e[11]=p*o-l*r,e}function I(e,t,n){var r=Math.sin(n),o=Math.cos(n),a=t[0],i=t[1],s=t[2],l=t[3],c=t[8],u=t[9],d=t[10],p=t[11];return t!==e&amp;&amp;(e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15]),e[0]=a*o-c*r,e[1]=i*o-u*r,e[2]=s*o-d*r,e[3]=l*o-p*r,e[8]=a*r+c*o,e[9]=i*r+u*o,e[10]=s*r+d*o,e[11]=l*r+p*o,e}function O(e,t,n){var r=Math.sin(n),o=Math.cos(n),a=t[0],i=t[1],s=t[2],l=t[3],c=t[4],u=t[5],d=t[6],p=t[7];return t!==e&amp;&amp;(e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15]),e[0]=a*o+c*r,e[1]=i*o+u*r,e[2]=s*o+d*r,e[3]=l*o+p*r,e[4]=c*o-a*r,e[5]=u*o-i*r,e[6]=d*o-s*r,e[7]=p*o-l*r,e}function R(e,t){return e[0]=1,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=1,e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[10]=1,e[11]=0,e[12]=t[0],e[13]=t[1],e[14]=t[2],e[15]=1,e}function M(e,t){return e[0]=t[0],e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=t[1],e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[10]=t[2],e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e}function D(e,t,r){var o,a,i,s=r[0],l=r[1],c=r[2],u=Math.hypot(s,l,c);return u&lt;n?null:(s*=u=1/u,l*=u,c*=u,o=Math.sin(t),i=1-(a=Math.cos(t)),e[0]=s*s*i+a,e[1]=l*s*i+c*o,e[2]=c*s*i-l*o,e[3]=0,e[4]=s*l*i-c*o,e[5]=l*l*i+a,e[6]=c*l*i+s*o,e[7]=0,e[8]=s*c*i+l*o,e[9]=l*c*i-s*o,e[10]=c*c*i+a,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e)}function E(e,t,n){var r=t[0],o=t[1],a=t[2],i=t[3],s=r+r,l=o+o,c=a+a,u=r*s,d=r*l,p=r*c,f=o*l,g=o*c,m=a*c,h=i*s,v=i*l,T=i*c;return e[0]=1-(f+m),e[1]=d+T,e[2]=p-v,e[3]=0,e[4]=d-T,e[5]=1-(u+m),e[6]=g+h,e[7]=0,e[8]=p+v,e[9]=g-h,e[10]=1-(u+f),e[11]=0,e[12]=n[0],e[13]=n[1],e[14]=n[2],e[15]=1,e}function V(e,t){var n=t[0],r=t[1],o=t[2],a=t[4],i=t[5],s=t[6],l=t[8],c=t[9],u=t[10];return e[0]=Math.hypot(n,r,o),e[1]=Math.hypot(a,i,s),e[2]=Math.hypot(l,c,u),e}function L(e,t){var n=new r(3);V(n,t);var o=1/n[0],a=1/n[1],i=1/n[2],s=t[0]*o,l=t[1]*a,c=t[2]*i,u=t[4]*o,d=t[5]*a,p=t[6]*i,f=t[8]*o,g=t[9]*a,m=t[10]*i,h=s+d+m,v=0;return h&gt;0?(v=2*Math.sqrt(h+1),e[3]=.25*v,e[0]=(p-g)/v,e[1]=(f-c)/v,e[2]=(l-u)/v):s&gt;d&amp;&amp;s&gt;m?(v=2*Math.sqrt(1+s-d-m),e[3]=(p-g)/v,e[0]=.25*v,e[1]=(l+u)/v,e[2]=(f+c)/v):d&gt;m?(v=2*Math.sqrt(1+d-s-m),e[3]=(f-c)/v,e[0]=(l+u)/v,e[1]=.25*v,e[2]=(p+g)/v):(v=2*Math.sqrt(1+m-s-d),e[3]=(l-u)/v,e[0]=(f+c)/v,e[1]=(p+g)/v,e[2]=.25*v),e}function B(e,t,n,r){var o=t[0],a=t[1],i=t[2],s=t[3],l=o+o,c=a+a,u=i+i,d=o*l,p=o*c,f=o*u,g=a*c,m=a*u,h=i*u,v=s*l,T=s*c,x=s*u,y=r[0],b=r[1],A=r[2];return e[0]=(1-(g+h))*y,e[1]=(p+x)*y,e[2]=(f-T)*y,e[3]=0,e[4]=(p-x)*b,e[5]=(1-(d+h))*b,e[6]=(m+v)*b,e[7]=0,e[8]=(f+T)*A,e[9]=(m-v)*A,e[10]=(1-(d+g))*A,e[11]=0,e[12]=n[0],e[13]=n[1],e[14]=n[2],e[15]=1,e}function F(e,t){var n=t[0],r=t[1],o=t[2],a=t[3],i=n+n,s=r+r,l=o+o,c=n*i,u=r*i,d=r*s,p=o*i,f=o*s,g=o*l,m=a*i,h=a*s,v=a*l;return e[0]=1-d-g,e[1]=u+v,e[2]=p-h,e[3]=0,e[4]=u-v,e[5]=1-c-g,e[6]=f+m,e[7]=0,e[8]=p+h,e[9]=f-m,e[10]=1-c-d,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e}function N(e,t,n,r,o){var a,i=1/Math.tan(t/2);return e[0]=i/n,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=i,e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[11]=-1,e[12]=0,e[13]=0,e[15]=0,null!=o&amp;&amp;o!==1/0?(a=1/(r-o),e[10]=(o+r)*a,e[14]=2*o*r*a):(e[10]=-1,e[14]=-2*r),e}var k=N;function G(e,t,n,r,o,a,i){var s=1/(t-n),l=1/(r-o),c=1/(a-i);return e[0]=-2*s,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=-2*l,e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[10]=2*c,e[11]=0,e[12]=(t+n)*s,e[13]=(o+r)*l,e[14]=(i+a)*c,e[15]=1,e}var U=G;function _(e,t,r,o){var a,i,s,l,c,u,d,p,f,g,m=t[0],h=t[1],v=t[2],T=o[0],y=o[1],b=o[2],A=r[0],C=r[1],S=r[2];return Math.abs(m-A)&lt;n&amp;&amp;Math.abs(h-C)&lt;n&amp;&amp;Math.abs(v-S)&lt;n?x(e):(d=m-A,p=h-C,f=v-S,a=y*(f*=g=1/Math.hypot(d,p,f))-b*(p*=g),i=b*(d*=g)-T*f,s=T*p-y*d,(g=Math.hypot(a,i,s))?(a*=g=1/g,i*=g,s*=g):(a=0,i=0,s=0),l=p*s-f*i,c=f*a-d*s,u=d*i-p*a,(g=Math.hypot(l,c,u))?(l*=g=1/g,c*=g,u*=g):(l=0,c=0,u=0),e[0]=a,e[1]=l,e[2]=d,e[3]=0,e[4]=i,e[5]=c,e[6]=p,e[7]=0,e[8]=s,e[9]=u,e[10]=f,e[11]=0,e[12]=-(a*m+i*h+s*v),e[13]=-(l*m+c*h+u*v),e[14]=-(d*m+p*h+f*v),e[15]=1,e)}function K(e,t,n){return e[0]=t[0]-n[0],e[1]=t[1]-n[1],e[2]=t[2]-n[2],e[3]=t[3]-n[3],e[4]=t[4]-n[4],e[5]=t[5]-n[5],e[6]=t[6]-n[6],e[7]=t[7]-n[7],e[8]=t[8]-n[8],e[9]=t[9]-n[9],e[10]=t[10]-n[10],e[11]=t[11]-n[11],e[12]=t[12]-n[12],e[13]=t[13]-n[13],e[14]=t[14]-n[14],e[15]=t[15]-n[15],e}var z=A,W=K,H=Object.freeze({__proto__:null,create:v,clone:function(e){var t=new r(16);return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t},copy:T,fromValues:function(e,t,n,o,a,i,s,l,c,u,d,p,f,g,m,h){var v=new r(16);return v[0]=e,v[1]=t,v[2]=n,v[3]=o,v[4]=a,v[5]=i,v[6]=s,v[7]=l,v[8]=c,v[9]=u,v[10]=d,v[11]=p,v[12]=f,v[13]=g,v[14]=m,v[15]=h,v},set:function(e,t,n,r,o,a,i,s,l,c,u,d,p,f,g,m,h){return e[0]=t,e[1]=n,e[2]=r,e[3]=o,e[4]=a,e[5]=i,e[6]=s,e[7]=l,e[8]=c,e[9]=u,e[10]=d,e[11]=p,e[12]=f,e[13]=g,e[14]=m,e[15]=h,e},identity:x,transpose:y,invert:b,adjoint:function(e,t){var n=t[0],r=t[1],o=t[2],a=t[3],i=t[4],s=t[5],l=t[6],c=t[7],u=t[8],d=t[9],p=t[10],f=t[11],g=t[12],m=t[13],h=t[14],v=t[15];return e[0]=s*(p*v-f*h)-d*(l*v-c*h)+m*(l*f-c*p),e[1]=-(r*(p*v-f*h)-d*(o*v-a*h)+m*(o*f-a*p)),e[2]=r*(l*v-c*h)-s*(o*v-a*h)+m*(o*c-a*l),e[3]=-(r*(l*f-c*p)-s*(o*f-a*p)+d*(o*c-a*l)),e[4]=-(i*(p*v-f*h)-u*(l*v-c*h)+g*(l*f-c*p)),e[5]=n*(p*v-f*h)-u*(o*v-a*h)+g*(o*f-a*p),e[6]=-(n*(l*v-c*h)-i*(o*v-a*h)+g*(o*c-a*l)),e[7]=n*(l*f-c*p)-i*(o*f-a*p)+u*(o*c-a*l),e[8]=i*(d*v-f*m)-u*(s*v-c*m)+g*(s*f-c*d),e[9]=-(n*(d*v-f*m)-u*(r*v-a*m)+g*(r*f-a*d)),e[10]=n*(s*v-c*m)-i*(r*v-a*m)+g*(r*c-a*s),e[11]=-(n*(s*f-c*d)-i*(r*f-a*d)+u*(r*c-a*s)),e[12]=-(i*(d*h-p*m)-u*(s*h-l*m)+g*(s*p-l*d)),e[13]=n*(d*h-p*m)-u*(r*h-o*m)+g*(r*p-o*d),e[14]=-(n*(s*h-l*m)-i*(r*h-o*m)+g*(r*l-o*s)),e[15]=n*(s*p-l*d)-i*(r*p-o*d)+u*(r*l-o*s),e},determinant:function(e){var t=e[0],n=e[1],r=e[2],o=e[3],a=e[4],i=e[5],s=e[6],l=e[7],c=e[8],u=e[9],d=e[10],p=e[11],f=e[12],g=e[13],m=e[14],h=e[15];return(t*i-n*a)*(d*h-p*m)-(t*s-r*a)*(u*h-p*g)+(t*l-o*a)*(u*m-d*g)+(n*s-r*i)*(c*h-p*f)-(n*l-o*i)*(c*m-d*f)+(r*l-o*s)*(c*g-u*f)},multiply:A,translate:C,scale:S,rotate:P,rotateX:w,rotateY:I,rotateZ:O,fromTranslation:R,fromScaling:M,fromRotation:D,fromXRotation:function(e,t){var n=Math.sin(t),r=Math.cos(t);return e[0]=1,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=r,e[6]=n,e[7]=0,e[8]=0,e[9]=-n,e[10]=r,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e},fromYRotation:function(e,t){var n=Math.sin(t),r=Math.cos(t);return e[0]=r,e[1]=0,e[2]=-n,e[3]=0,e[4]=0,e[5]=1,e[6]=0,e[7]=0,e[8]=n,e[9]=0,e[10]=r,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e},fromZRotation:function(e,t){var n=Math.sin(t),r=Math.cos(t);return e[0]=r,e[1]=n,e[2]=0,e[3]=0,e[4]=-n,e[5]=r,e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[10]=1,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,e},fromRotationTranslation:E,fromQuat2:function(e,t){var n=new r(3),o=-t[0],a=-t[1],i=-t[2],s=t[3],l=t[4],c=t[5],u=t[6],d=t[7],p=o*o+a*a+i*i+s*s;return p&gt;0?(n[0]=2*(l*s+d*o+c*i-u*a)/p,n[1]=2*(c*s+d*a+u*o-l*i)/p,n[2]=2*(u*s+d*i+l*a-c*o)/p):(n[0]=2*(l*s+d*o+c*i-u*a),n[1]=2*(c*s+d*a+u*o-l*i),n[2]=2*(u*s+d*i+l*a-c*o)),E(e,t,n),e},getTranslation:function(e,t){return e[0]=t[12],e[1]=t[13],e[2]=t[14],e},getScaling:V,getRotation:L,fromRotationTranslationScale:B,fromRotationTranslationScaleOrigin:function(e,t,n,r,o){var a=t[0],i=t[1],s=t[2],l=t[3],c=a+a,u=i+i,d=s+s,p=a*c,f=a*u,g=a*d,m=i*u,h=i*d,v=s*d,T=l*c,x=l*u,y=l*d,b=r[0],A=r[1],C=r[2],S=o[0],P=o[1],w=o[2],I=(1-(m+v))*b,O=(f+y)*b,R=(g-x)*b,M=(f-y)*A,D=(1-(p+v))*A,E=(h+T)*A,V=(g+x)*C,L=(h-T)*C,B=(1-(p+m))*C;return e[0]=I,e[1]=O,e[2]=R,e[3]=0,e[4]=M,e[5]=D,e[6]=E,e[7]=0,e[8]=V,e[9]=L,e[10]=B,e[11]=0,e[12]=n[0]+S-(I*S+M*P+V*w),e[13]=n[1]+P-(O*S+D*P+L*w),e[14]=n[2]+w-(R*S+E*P+B*w),e[15]=1,e},fromQuat:F,frustum:function(e,t,n,r,o,a,i){var s=1/(n-t),l=1/(o-r),c=1/(a-i);return e[0]=2*a*s,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=2*a*l,e[6]=0,e[7]=0,e[8]=(n+t)*s,e[9]=(o+r)*l,e[10]=(i+a)*c,e[11]=-1,e[12]=0,e[13]=0,e[14]=i*a*2*c,e[15]=0,e},perspectiveNO:N,perspective:k,perspectiveZO:function(e,t,n,r,o){var a,i=1/Math.tan(t/2);return e[0]=i/n,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=i,e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[11]=-1,e[12]=0,e[13]=0,e[15]=0,null!=o&amp;&amp;o!==1/0?(a=1/(r-o),e[10]=o*a,e[14]=o*r*a):(e[10]=-1,e[14]=-r),e},perspectiveFromFieldOfView:function(e,t,n,r){var o=Math.tan(t.upDegrees*Math.PI/180),a=Math.tan(t.downDegrees*Math.PI/180),i=Math.tan(t.leftDegrees*Math.PI/180),s=Math.tan(t.rightDegrees*Math.PI/180),l=2/(i+s),c=2/(o+a);return e[0]=l,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=c,e[6]=0,e[7]=0,e[8]=-(i-s)*l*.5,e[9]=(o-a)*c*.5,e[10]=r/(n-r),e[11]=-1,e[12]=0,e[13]=0,e[14]=r*n/(n-r),e[15]=0,e},orthoNO:G,ortho:U,orthoZO:function(e,t,n,r,o,a,i){var s=1/(t-n),l=1/(r-o),c=1/(a-i);return e[0]=-2*s,e[1]=0,e[2]=0,e[3]=0,e[4]=0,e[5]=-2*l,e[6]=0,e[7]=0,e[8]=0,e[9]=0,e[10]=c,e[11]=0,e[12]=(t+n)*s,e[13]=(o+r)*l,e[14]=a*c,e[15]=1,e},lookAt:_,targetTo:function(e,t,n,r){var o=t[0],a=t[1],i=t[2],s=r[0],l=r[1],c=r[2],u=o-n[0],d=a-n[1],p=i-n[2],f=u*u+d*d+p*p;f&gt;0&amp;&amp;(u*=f=1/Math.sqrt(f),d*=f,p*=f);var g=l*p-c*d,m=c*u-s*p,h=s*d-l*u;return(f=g*g+m*m+h*h)&gt;0&amp;&amp;(g*=f=1/Math.sqrt(f),m*=f,h*=f),e[0]=g,e[1]=m,e[2]=h,e[3]=0,e[4]=d*h-p*m,e[5]=p*g-u*h,e[6]=u*m-d*g,e[7]=0,e[8]=u,e[9]=d,e[10]=p,e[11]=0,e[12]=o,e[13]=a,e[14]=i,e[15]=1,e},str:function(e){return&quot;mat4(&quot;+e[0]+&quot;, &quot;+e[1]+&quot;, &quot;+e[2]+&quot;, &quot;+e[3]+&quot;, &quot;+e[4]+&quot;, &quot;+e[5]+&quot;, &quot;+e[6]+&quot;, &quot;+e[7]+&quot;, &quot;+e[8]+&quot;, &quot;+e[9]+&quot;, &quot;+e[10]+&quot;, &quot;+e[11]+&quot;, &quot;+e[12]+&quot;, &quot;+e[13]+&quot;, &quot;+e[14]+&quot;, &quot;+e[15]+&quot;)&quot;},frob:function(e){return Math.hypot(e[0],e[1],e[2],e[3],e[4],e[5],e[6],e[7],e[8],e[9],e[10],e[11],e[12],e[13],e[14],e[15])},add:function(e,t,n){return e[0]=t[0]+n[0],e[1]=t[1]+n[1],e[2]=t[2]+n[2],e[3]=t[3]+n[3],e[4]=t[4]+n[4],e[5]=t[5]+n[5],e[6]=t[6]+n[6],e[7]=t[7]+n[7],e[8]=t[8]+n[8],e[9]=t[9]+n[9],e[10]=t[10]+n[10],e[11]=t[11]+n[11],e[12]=t[12]+n[12],e[13]=t[13]+n[13],e[14]=t[14]+n[14],e[15]=t[15]+n[15],e},subtract:K,multiplyScalar:function(e,t,n){return e[0]=t[0]*n,e[1]=t[1]*n,e[2]=t[2]*n,e[3]=t[3]*n,e[4]=t[4]*n,e[5]=t[5]*n,e[6]=t[6]*n,e[7]=t[7]*n,e[8]=t[8]*n,e[9]=t[9]*n,e[10]=t[10]*n,e[11]=t[11]*n,e[12]=t[12]*n,e[13]=t[13]*n,e[14]=t[14]*n,e[15]=t[15]*n,e},multiplyScalarAndAdd:function(e,t,n,r){return e[0]=t[0]+n[0]*r,e[1]=t[1]+n[1]*r,e[2]=t[2]+n[2]*r,e[3]=t[3]+n[3]*r,e[4]=t[4]+n[4]*r,e[5]=t[5]+n[5]*r,e[6]=t[6]+n[6]*r,e[7]=t[7]+n[7]*r,e[8]=t[8]+n[8]*r,e[9]=t[9]+n[9]*r,e[10]=t[10]+n[10]*r,e[11]=t[11]+n[11]*r,e[12]=t[12]+n[12]*r,e[13]=t[13]+n[13]*r,e[14]=t[14]+n[14]*r,e[15]=t[15]+n[15]*r,e},exactEquals:function(e,t){return e[0]===t[0]&amp;&amp;e[1]===t[1]&amp;&amp;e[2]===t[2]&amp;&amp;e[3]===t[3]&amp;&amp;e[4]===t[4]&amp;&amp;e[5]===t[5]&amp;&amp;e[6]===t[6]&amp;&amp;e[7]===t[7]&amp;&amp;e[8]===t[8]&amp;&amp;e[9]===t[9]&amp;&amp;e[10]===t[10]&amp;&amp;e[11]===t[11]&amp;&amp;e[12]===t[12]&amp;&amp;e[13]===t[13]&amp;&amp;e[14]===t[14]&amp;&amp;e[15]===t[15]},equals:function(e,t){var r=e[0],o=e[1],a=e[2],i=e[3],s=e[4],l=e[5],c=e[6],u=e[7],d=e[8],p=e[9],f=e[10],g=e[11],m=e[12],h=e[13],v=e[14],T=e[15],x=t[0],y=t[1],b=t[2],A=t[3],C=t[4],S=t[5],P=t[6],w=t[7],I=t[8],O=t[9],R=t[10],M=t[11],D=t[12],E=t[13],V=t[14],L=t[15];return Math.abs(r-x)&lt;=n*Math.max(1,Math.abs(r),Math.abs(x))&amp;&amp;Math.abs(o-y)&lt;=n*Math.max(1,Math.abs(o),Math.abs(y))&amp;&amp;Math.abs(a-b)&lt;=n*Math.max(1,Math.abs(a),Math.abs(b))&amp;&amp;Math.abs(i-A)&lt;=n*Math.max(1,Math.abs(i),Math.abs(A))&amp;&amp;Math.abs(s-C)&lt;=n*Math.max(1,Math.abs(s),Math.abs(C))&amp;&amp;Math.abs(l-S)&lt;=n*Math.max(1,Math.abs(l),Math.abs(S))&amp;&amp;Math.abs(c-P)&lt;=n*Math.max(1,Math.abs(c),Math.abs(P))&amp;&amp;Math.abs(u-w)&lt;=n*Math.max(1,Math.abs(u),Math.abs(w))&amp;&amp;Math.abs(d-I)&lt;=n*Math.max(1,Math.abs(d),Math.abs(I))&amp;&amp;Math.abs(p-O)&lt;=n*Math.max(1,Math.abs(p),Math.abs(O))&amp;&amp;Math.abs(f-R)&lt;=n*Math.max(1,Math.abs(f),Math.abs(R))&amp;&amp;Math.abs(g-M)&lt;=n*Math.max(1,Math.abs(g),Math.abs(M))&amp;&amp;Math.abs(m-D)&lt;=n*Math.max(1,Math.abs(m),Math.abs(D))&amp;&amp;Math.abs(h-E)&lt;=n*Math.max(1,Math.abs(h),Math.abs(E))&amp;&amp;Math.abs(v-V)&lt;=n*Math.max(1,Math.abs(v),Math.abs(V))&amp;&amp;Math.abs(T-L)&lt;=n*Math.max(1,Math.abs(T),Math.abs(L))},mul:z,sub:W});function j(){var e=new r(3);return r!=Float32Array&amp;&amp;(e[0]=0,e[1]=0,e[2]=0),e}function X(e){var t=e[0],n=e[1],r=e[2];return Math.hypot(t,n,r)}function q(e,t,n){var o=new r(3);return o[0]=e,o[1]=t,o[2]=n,o}function Y(e,t,n,r){return e[0]=t,e[1]=n,e[2]=r,e}function J(e,t,n){return e[0]=t[0]+n[0],e[1]=t[1]+n[1],e[2]=t[2]+n[2],e}function Z(e,t,n){return e[0]=t[0]-n[0],e[1]=t[1]-n[1],e[2]=t[2]-n[2],e}function Q(e,t,n){return e[0]=t[0]*n[0],e[1]=t[1]*n[1],e[2]=t[2]*n[2],e}function $(e,t,n){return e[0]=t[0]*n,e[1]=t[1]*n,e[2]=t[2]*n,e}function ee(e,t){return e[0]=1/t[0],e[1]=1/t[1],e[2]=1/t[2],e}function te(e,t){var n=t[0],r=t[1],o=t[2],a=n*n+r*r+o*o;return a&gt;0&amp;&amp;(a=1/Math.sqrt(a)),e[0]=t[0]*a,e[1]=t[1]*a,e[2]=t[2]*a,e}function ne(e,t){return e[0]*t[0]+e[1]*t[1]+e[2]*t[2]}function re(e,t,n){var r=t[0],o=t[1],a=t[2],i=n[0],s=n[1],l=n[2];return e[0]=o*l-a*s,e[1]=a*i-r*l,e[2]=r*s-o*i,e}function oe(e,t,n){var r=t[0],o=t[1],a=t[2],i=n[3]*r+n[7]*o+n[11]*a+n[15];return i=i||1,e[0]=(n[0]*r+n[4]*o+n[8]*a+n[12])/i,e[1]=(n[1]*r+n[5]*o+n[9]*a+n[13])/i,e[2]=(n[2]*r+n[6]*o+n[10]*a+n[14])/i,e}function ae(e,t,n){var r=t[0],o=t[1],a=t[2];return e[0]=r*n[0]+o*n[3]+a*n[6],e[1]=r*n[1]+o*n[4]+a*n[7],e[2]=r*n[2]+o*n[5]+a*n[8],e}function ie(e,t){return e[0]===t[0]&amp;&amp;e[1]===t[1]&amp;&amp;e[2]===t[2]}function se(e,t){var r=e[0],o=e[1],a=e[2],i=t[0],s=t[1],l=t[2];return Math.abs(r-i)&lt;=n*Math.max(1,Math.abs(r),Math.abs(i))&amp;&amp;Math.abs(o-s)&lt;=n*Math.max(1,Math.abs(o),Math.abs(s))&amp;&amp;Math.abs(a-l)&lt;=n*Math.max(1,Math.abs(a),Math.abs(l))}var le=Z,ce=Q,ue=function(e,t){var n=t[0]-e[0],r=t[1]-e[1],o=t[2]-e[2];return Math.hypot(n,r,o)};function de(e,t,n){var r=t[0],o=t[1],a=t[2],i=t[3];return e[0]=n[0]*r+n[4]*o+n[8]*a+n[12]*i,e[1]=n[1]*r+n[5]*o+n[9]*a+n[13]*i,e[2]=n[2]*r+n[6]*o+n[10]*a+n[14]*i,e[3]=n[3]*r+n[7]*o+n[11]*a+n[15]*i,e}function pe(){var e=new r(4);return r!=Float32Array&amp;&amp;(e[0]=0,e[1]=0,e[2]=0),e[3]=1,e}function fe(e,t,n){n*=.5;var r=Math.sin(n);return e[0]=r*t[0],e[1]=r*t[1],e[2]=r*t[2],e[3]=Math.cos(n),e}function ge(e,t,n){var r=t[0],o=t[1],a=t[2],i=t[3],s=n[0],l=n[1],c=n[2],u=n[3];return e[0]=r*u+i*s+o*c-a*l,e[1]=o*u+i*l+a*s-r*c,e[2]=a*u+i*c+r*l-o*s,e[3]=i*u-r*s-o*l-a*c,e}function me(e,t,r,o){var a,i,s,l,c,u=t[0],d=t[1],p=t[2],f=t[3],g=r[0],m=r[1],h=r[2],v=r[3];return(i=u*g+d*m+p*h+f*v)&lt;0&amp;&amp;(i=-i,g=-g,m=-m,h=-h,v=-v),1-i&gt;n?(a=Math.acos(i),s=Math.sin(a),l=Math.sin((1-o)*a)/s,c=Math.sin(o*a)/s):(l=1-o,c=o),e[0]=l*u+c*g,e[1]=l*d+c*m,e[2]=l*p+c*h,e[3]=l*f+c*v,e}j(),function(){var e,t=(e=new r(4),r!=Float32Array&amp;&amp;(e[0]=0,e[1]=0,e[2]=0,e[3]=0),e)}();var he=function(e,t,n,o){var a=new r(4);return a[0]=e,a[1]=t,a[2]=n,a[3]=o,a};j(),q(1,0,0),q(0,1,0),pe(),pe(),i();var ve,Te=&quot;undefined&quot;!=typeof globalThis?globalThis:&quot;undefined&quot;!=typeof window?window:&quot;undefined&quot;!=typeof global?global:&quot;undefined&quot;!=typeof self?self:{},xe=function e(t,n){if(t===n)return!0;if(t&amp;&amp;n&amp;&amp;&quot;object&quot;==typeof t&amp;&amp;&quot;object&quot;==typeof n){if(t.constructor!==n.constructor)return!1;var r,o,a;if(Array.isArray(t)){if((r=t.length)!=n.length)return!1;for(o=r;0!=o--;)if(!e(t[o],n[o]))return!1;return!0}if(t.constructor===RegExp)return t.source===n.source&amp;&amp;t.flags===n.flags;if(t.valueOf!==Object.prototype.valueOf)return t.valueOf()===n.valueOf();if(t.toString!==Object.prototype.toString)return t.toString()===n.toString();if((r=(a=Object.keys(t)).length)!==Object.keys(n).length)return!1;for(o=r;0!=o--;)if(!Object.prototype.hasOwnProperty.call(n,a[o]))return!1;for(o=r;0!=o--;){var i=a[o];if(!e(t[i],n[i]))return!1}return!0}return t!=t&amp;&amp;n!=n},ye=Object.prototype.toString,be=function(e){var t=ye.call(e),n=&quot;[object Arguments]&quot;===t;return n||(n=&quot;[object Array]&quot;!==t&amp;&amp;null!==e&amp;&amp;&quot;object&quot;==typeof e&amp;&amp;&quot;number&quot;==typeof e.length&amp;&amp;e.length&gt;=0&amp;&amp;&quot;[object Function]&quot;===ye.call(e.callee)),n};if(!Object.keys){var Ae=Object.prototype.hasOwnProperty,Ce=Object.prototype.toString,Se=be,Pe=Object.prototype.propertyIsEnumerable,we=!Pe.call({toString:null},&quot;toString&quot;),Ie=Pe.call((function(){}),&quot;prototype&quot;),Oe=[&quot;toString&quot;,&quot;toLocaleString&quot;,&quot;valueOf&quot;,&quot;hasOwnProperty&quot;,&quot;isPrototypeOf&quot;,&quot;propertyIsEnumerable&quot;,&quot;constructor&quot;],Re=function(e){var t=e.constructor;return t&amp;&amp;t.prototype===e},Me={$applicationCache:!0,$console:!0,$external:!0,$frame:!0,$frameElement:!0,$frames:!0,$innerHeight:!0,$innerWidth:!0,$onmozfullscreenchange:!0,$onmozfullscreenerror:!0,$outerHeight:!0,$outerWidth:!0,$pageXOffset:!0,$pageYOffset:!0,$parent:!0,$scrollLeft:!0,$scrollTop:!0,$scrollX:!0,$scrollY:!0,$self:!0,$webkitIndexedDB:!0,$webkitStorageInfo:!0,$window:!0},De=function(){if(&quot;undefined&quot;==typeof window)return!1;for(var e in window)try{if(!Me[&quot;$&quot;+e]&amp;&amp;Ae.call(window,e)&amp;&amp;null!==window[e]&amp;&amp;&quot;object&quot;==typeof window[e])try{Re(window[e])}catch(e){return!0}}catch(e){return!0}return!1}();ve=function(e){var t=null!==e&amp;&amp;&quot;object&quot;==typeof e,n=&quot;[object Function]&quot;===Ce.call(e),r=Se(e),o=t&amp;&amp;&quot;[object String]&quot;===Ce.call(e),a=[];if(!t&amp;&amp;!n&amp;&amp;!r)throw new TypeError(&quot;Object.keys called on a non-object&quot;);var i=Ie&amp;&amp;n;if(o&amp;&amp;e.length&gt;0&amp;&amp;!Ae.call(e,0))for(var s=0;s&lt;e.length;++s)a.push(String(s));if(r&amp;&amp;e.length&gt;0)for(var l=0;l&lt;e.length;++l)a.push(String(l));else for(var c in e)i&amp;&amp;&quot;prototype&quot;===c||!Ae.call(e,c)||a.push(String(c));if(we)for(var u=function(e){if(&quot;undefined&quot;==typeof window||!De)return Re(e);try{return Re(e)}catch(e){return!1}}(e),d=0;d&lt;Oe.length;++d)u&amp;&amp;&quot;constructor&quot;===Oe[d]||!Ae.call(e,Oe[d])||a.push(Oe[d]);return a}}var Ee=ve,Ve=Array.prototype.slice,Le=be,Be=Object.keys,Fe=Be?function(e){return Be(e)}:Ee,Ne=Object.keys;Fe.shim=function(){if(Object.keys){var e=function(){var e=Object.keys(arguments);return e&amp;&amp;e.length===arguments.length}(1,2);e||(Object.keys=function(e){return Le(e)?Ne(Ve.call(e)):Ne(e)})}else Object.keys=Fe;return Object.keys||Fe};var ke=Fe,Ge=&quot;function&quot;==typeof Symbol&amp;&amp;&quot;symbol&quot;==typeof Symbol(&quot;foo&quot;),Ue=Object.prototype.toString,_e=Array.prototype.concat,Ke=Object.defineProperty,ze=Ke&amp;&amp;function(){var e={};try{for(var t in Ke(e,&quot;x&quot;,{enumerable:!1,value:e}),e)return!1;return e.x===e}catch(e){return!1}}(),We=function(e,t,n,r){var o;(!(t in e)||&quot;function&quot;==typeof(o=r)&amp;&amp;&quot;[object Function]&quot;===Ue.call(o)&amp;&amp;r())&amp;&amp;(ze?Ke(e,t,{configurable:!0,enumerable:!1,value:n,writable:!0}):e[t]=n)},He=function(e,t){var n=arguments.length&gt;2?arguments[2]:{},r=ke(t);Ge&amp;&amp;(r=_e.call(r,Object.getOwnPropertySymbols(t)));for(var o=0;o&lt;r.length;o+=1)We(e,r[o],t[r[o]],n[r[o]])};He.supportsDescriptors=!!ze;var je=He,Xe={exports:{}};&quot;undefined&quot;!=typeof self?Xe.exports=self:&quot;undefined&quot;!=typeof window?Xe.exports=window:Xe.exports=Function(&quot;return this&quot;)();var qe=Xe.exports,Ye=function(){return&quot;object&quot;==typeof Te&amp;&amp;Te&amp;&amp;Te.Math===Math&amp;&amp;Te.Array===Array?Te:qe},Je=je,Ze=Ye,Qe=je,$e=Xe.exports,et=Ye,tt=function(){var e=Ze();if(Je.supportsDescriptors){var t=Object.getOwnPropertyDescriptor(e,&quot;globalThis&quot;);t&amp;&amp;(!t.configurable||!t.enumerable&amp;&amp;t.writable&amp;&amp;globalThis===e)||Object.defineProperty(e,&quot;globalThis&quot;,{configurable:!0,enumerable:!1,value:e,writable:!0})}else&quot;object&quot;==typeof globalThis&amp;&amp;globalThis===e||(e.globalThis=e);return e},nt=et(),rt=function(){return nt};Qe(rt,{getPolyfill:et,implementation:$e,shim:tt});const ot=rt(),at={vtkObject:()=&gt;null};function it(e){if(null==e)return e;if(e.isA)return e;if(!e.vtkClass)return ot.console&amp;&amp;ot.console.error&amp;&amp;ot.console.error(&quot;Invalid VTK object&quot;),null;const t=at[e.vtkClass];if(!t)return ot.console&amp;&amp;ot.console.error&amp;&amp;ot.console.error(`No vtk class found for Object of type ${e.vtkClass}`),null;const n={...e};Object.keys(n).forEach((e=&gt;{n[e]&amp;&amp;&quot;object&quot;==typeof n[e]&amp;&amp;n[e].vtkClass&amp;&amp;(n[e]=it(n[e]))}));const r=t(n);return r&amp;&amp;r.modified&amp;&amp;r.modified(),r}it.register=function(e,t){at[e]=t};class st extends Array{push(){for(let e=0;e&lt;arguments.length;e++)this.includes(arguments[e])||super.push(arguments[e]);return this.length}}let lt=0;const ct=e=&gt;{throw new Error(`Named parameter &#x27;${e}&#x27; is missing`)},ut=Symbol(&quot;void&quot;);const dt={};function pt(){}[&quot;log&quot;,&quot;debug&quot;,&quot;info&quot;,&quot;warn&quot;,&quot;error&quot;,&quot;time&quot;,&quot;timeEnd&quot;,&quot;group&quot;,&quot;groupEnd&quot;].forEach((e=&gt;{dt[e]=pt})),ot.console=console.hasOwnProperty(&quot;log&quot;)?console:dt;const ft={debug:pt,error:ot.console.error||pt,info:ot.console.info||pt,log:ot.console.log||pt,warn:ot.console.warn||pt};function gt(e,t){ft[e]&amp;&amp;(ft[e]=t||pt)}function mt(...e){ft.log(...e)}function ht(...e){ft.info(...e)}function vt(...e){ft.debug(...e)}function Tt(...e){ft.error(...e)}function xt(...e){ft.warn(...e)}const yt={};function bt(e){yt[e]||(ft.error(e),yt[e]=!0)}const At=Object.create(null);At.Float32Array=Float32Array,At.Float64Array=Float64Array,At.Uint8Array=Uint8Array,At.Int8Array=Int8Array,At.Uint16Array=Uint16Array,At.Int16Array=Int16Array,At.Uint32Array=Uint32Array,At.Int32Array=Int32Array,At.Uint8ClampedArray=Uint8ClampedArray;try{At.BigInt64Array=BigInt64Array,At.BigUint64Array=BigUint64Array}catch{}function Ct(e,...t){return new(At[e]||Float64Array)(...t)}function St(e,...t){return(At[e]||Float64Array).from(...t)}function Pt(e){return e.charAt(0).toUpperCase()+e.slice(1)}function wt(e){return Pt(&quot;_&quot;===e[0]?e.slice(1):e)}function It(e){return e.charAt(0).toLowerCase()+e.slice(1)}function Ot(e,t=2,n=1e3){const r=[&quot;TB&quot;,&quot;GB&quot;,&quot;MB&quot;,&quot;KB&quot;];let o=Number(e),a=&quot;B&quot;;for(;o&gt;n;)o/=n,a=r.pop();return`${o.toFixed(t)} ${a}`}function Rt(e,t=&quot; &quot;){const n=[];let r=e;for(;r&gt;1e3;)n.push((&quot;000&quot;+r%1e3).slice(-3)),r=Math.floor(r/1e3);return r&gt;0&amp;&amp;n.push(r),n.reverse(),n.join(t)}function Mt(e){Object.keys(e).forEach((t=&gt;{Array.isArray(e[t])&amp;&amp;(e[t]=[].concat(e[t]))}))}function Dt(e){setTimeout(e,0)}function Et(e,t){const n=performance.now();e.finally((()=&gt;{const e=performance.now()-n;t(e)}))}function Vt(e={},t={}){Mt(t);const n=[];if(Number.isInteger(t.mtime)||(t.mtime=++lt),&quot;classHierarchy&quot;in t){if(!(t.classHierarchy instanceof st)){const e=new st;for(let n=0;n&lt;t.classHierarchy.length;n++)e.push(t.classHierarchy[n]);t.classHierarchy=e}}else t.classHierarchy=new st(&quot;vtkObject&quot;);function r(e){n[e]=null}return e.isDeleted=()=&gt;!!t.deleted,e.modified=r=&gt;{t.deleted?Tt(&quot;instance deleted - cannot call any method&quot;):r&amp;&amp;r&lt;e.getMTime()||(t.mtime=++lt,n.forEach((t=&gt;t&amp;&amp;t(e))))},e.onModified=e=&gt;{if(t.deleted)return Tt(&quot;instance deleted - cannot call any method&quot;),null;const o=n.length;return n.push(e),function(e){return Object.freeze({unsubscribe:function(){r(e)}})}(o)},e.getMTime=()=&gt;t.mtime,e.isA=e=&gt;{let n=t.classHierarchy.length;for(;n--;)if(t.classHierarchy[n]===e)return!0;return!1},e.getClassName=(e=0)=&gt;t.classHierarchy[t.classHierarchy.length-1-e],e.set=(n={},r=!1,o=!1)=&gt;{let a=!1;return Object.keys(n).forEach((i=&gt;{const s=o?null:e[`set${Pt(i)}`];s&amp;&amp;Array.isArray(n[i])&amp;&amp;s.length&gt;1?a=s(...n[i])||a:s?a=s(n[i])||a:(-1!==[&quot;mtime&quot;].indexOf(i)||r||xt(`Warning: Set value to model directly ${i}, ${n[i]}`),a=t[i]!==n[i]||a,t[i]=n[i])})),a},e.get=(...e)=&gt;{if(!e.length)return t;const n={};return e.forEach((e=&gt;{n[e]=t[e]})),n},e.getReferenceByName=e=&gt;t[e],e.delete=()=&gt;{Object.keys(t).forEach((e=&gt;delete t[e])),n.forEach(((e,t)=&gt;r(t))),t.deleted=!0},e.getState=({preserveTypedArrays:n=!1}={})=&gt;{if(t.deleted)return null;const r={preserveTypedArrays:n},o={...t,vtkClass:e.getClassName()};Object.keys(o).forEach((e=&gt;{var t;null===o[e]||void 0===o[e]||&quot;_&quot;===e[0]?delete o[e]:o[e].isA?o[e]=o[e].getState(r):Array.isArray(o[e])?o[e]=o[e].map((e=&gt;e&amp;&amp;e.isA?e.getState(r):e)):(t=o[e],Object.values(At).some((e=&gt;t instanceof e))&amp;&amp;(n||(o[e]=Array.from(o[e]))))}));const a={};return Object.keys(o).sort().forEach((e=&gt;{a[e]=o[e]})),a.mtime&amp;&amp;delete a.mtime,a},e.shallowCopy=(n,r=!1)=&gt;{if(n.getClassName()!==e.getClassName())throw new Error(`Cannot ShallowCopy ${n.getClassName()} into ${e.getClassName()}`);const o=n.get(),a=Object.keys(t).sort();Object.keys(o).sort().forEach((e=&gt;{const n=a.indexOf(e);-1===n?r&amp;&amp;vt(`add ${e} in shallowCopy`):a.splice(n,1),t[e]=o[e]})),a.length&amp;&amp;r&amp;&amp;vt(`Untouched keys: ${a.join(&quot;, &quot;)}`),e.modified()},e.toJSON=function(){return e.getState()},e}const Lt={object:(e,t,n)=&gt;function(){return{...t[n.name]}}};function Bt(e,t,n){n.forEach((n=&gt;{if(&quot;object&quot;==typeof n){const r=Lt[n.type];e[`get${wt(n.name)}`]=r?r(e,t,n):()=&gt;t[n.name]}else e[`get${wt(n)}`]=()=&gt;t[n]}))}const Ft={enum(e,t,n){const r=`_on${wt(n.name)}Changed`;return o=&gt;{if(&quot;string&quot;==typeof o){if(void 0!==n.enum[o])return t[n.name]!==n.enum[o]&amp;&amp;(t[n.name]=n.enum[o],e.modified(),!0);throw Tt(`Set Enum with invalid argument ${n}, ${o}`),new RangeError(&quot;Set Enum with invalid string argument&quot;)}if(&quot;number&quot;==typeof o){if(t[n.name]!==o){if(-1!==Object.keys(n.enum).map((e=&gt;n.enum[e])).indexOf(o)){const a=t[n.name];return t[n.name]=o,t[r]?.(e,t,o,a),e.modified(),!0}throw Tt(`Set Enum outside numeric range ${n}, ${o}`),new RangeError(&quot;Set Enum outside numeric range&quot;)}return!1}throw Tt(`Set Enum with invalid argument (String/Number) ${n}, ${o}`),new TypeError(&quot;Set Enum with invalid argument (String/Number)&quot;)}},object(e,t,n){1===n.params?.length&amp;&amp;xt(&#x27;Setter of type &quot;object&quot; with a single &quot;param&quot; field is not supported&#x27;);const r=`_on${wt(n.name)}Changed`;return(...o)=&gt;{let a;if(a=o.length&gt;1&amp;&amp;n.params?.length?n.params.reduce(((e,t,n)=&gt;Object.assign(e,{[t]:o[n]})),{}):o[0],!xe(t[n.name],a)){const o=t[n.name];return t[n.name]=a,t[r]?.(e,t,a,o),e.modified(),!0}return!1}}};function Nt(e){if(&quot;object&quot;==typeof e){const t=Ft[e.type];if(t)return(n,r)=&gt;t(n,r,e);throw Tt(`No setter for field ${e}`),new TypeError(&quot;No setter for field&quot;)}return function(t,n){const r=`_on${wt(e)}Changed`;return function(o){if(n.deleted)return Tt(&quot;instance deleted - cannot call any method&quot;),!1;if(n[e]!==o){const a=n[e.name];return n[e]=o,n[r]?.(t,n,o,a),t.modified(),!0}return!1}}}function kt(e,t,n){n.forEach((n=&gt;{&quot;object&quot;==typeof n?e[`set${wt(n.name)}`]=Nt(n)(e,t):e[`set${wt(n)}`]=Nt(n)(e,t)}))}function Gt(e,t,n){Bt(e,t,n),kt(e,t,n)}function Ut(e,t,n){n.forEach((n=&gt;{e[`get${wt(n)}`]=()=&gt;t[n]?Array.from(t[n]):t[n],e[`get${wt(n)}ByReference`]=()=&gt;t[n]}))}function _t(e,t,n,r,o=void 0){n.forEach((n=&gt;{if(t[n]&amp;&amp;r&amp;&amp;t[n].length!==r)throw new RangeError(`Invalid initial number of values for array (${n})`);const a=`_on${wt(n)}Changed`;e[`set${wt(n)}`]=(...i)=&gt;{if(t.deleted)return Tt(&quot;instance deleted - cannot call any method&quot;),!1;let s,l=i,c=!1;if(1===l.length&amp;&amp;(null==l[0]||l[0].length&gt;=0)&amp;&amp;(l=l[0],c=!0),null==l)s=t[n]!==l;else{if(r&amp;&amp;l.length!==r){if(!(l.length&lt;r&amp;&amp;void 0!==o))throw new RangeError(`Invalid number of values for array setter (${n})`);for(l=Array.from(l),c=!1;l.length&lt;r;)l.push(o)}s=null==t[n]||t[n].length!==l.length;for(let e=0;!s&amp;&amp;e&lt;l.length;++e)s=t[n][e]!==l[e];s&amp;&amp;c&amp;&amp;(l=Array.from(l))}if(s){const r=t[n.name];t[n]=l,t[a]?.(e,t,l,r),e.modified()}return s},e[`set${wt(n)}From`]=e=&gt;{const r=t[n];e.forEach(((e,t)=&gt;{r[t]=e}))}}))}function Kt(e,t,n,r,o=void 0){Ut(e,t,n),_t(e,t,n,r,o)}function zt(e,t,n){for(let e=0;e&lt;n.length;e++){const r=n[e];void 0!==t[r]&amp;&amp;(t[`_${r}`]=t[r],delete t[r])}}function Wt(e,t,n,r){function o(n,r=0){t.deleted?Tt(&quot;instance deleted - cannot call any method&quot;):r&gt;=t.numberOfInputs?Tt(`algorithm ${e.getClassName()} only has ${t.numberOfInputs} input ports. To add more input ports, use addInputData()`):(t.inputData[r]!==n||t.inputConnection[r])&amp;&amp;(t.inputData[r]=n,t.inputConnection[r]=null,e.modified&amp;&amp;e.modified())}function a(n,r=0){if(t.deleted)Tt(&quot;instance deleted - cannot call any method&quot;);else{if(r&gt;=t.numberOfInputs){let n=`algorithm ${e.getClassName()} only has `;return n+=`${t.numberOfInputs}`,n+=&quot; input ports. To add more input ports, use addInputConnection()&quot;,void Tt(n)}t.inputData[r]=null,t.inputConnection[r]=n}}function i(){let e=t.numberOfInputs;for(;e&amp;&amp;!t.inputData[e-1]&amp;&amp;!t.inputConnection[e-1];)e--;return e===t.numberOfInputs&amp;&amp;t.numberOfInputs++,e}function s(n=0){return t.deleted?(Tt(&quot;instance deleted - cannot call any method&quot;),null):(e.shouldUpdate()&amp;&amp;e.update(),t.output[n])}if(t.inputData?t.inputData=t.inputData.map(it):t.inputData=[],t.inputConnection?t.inputConnection=t.inputConnection.map(it):t.inputConnection=[],t.output?t.output=t.output.map(it):t.output=[],t.inputArrayToProcess?t.inputArrayToProcess=t.inputArrayToProcess.map(it):t.inputArrayToProcess=[],t.numberOfInputs=n,e.shouldUpdate=()=&gt;{const n=e.getMTime();let o=1/0,a=r;for(;a--;){if(!t.output[a]||t.output[a].isDeleted())return!0;const e=t.output[a].getMTime();if(e&lt;n)return!0;e&lt;o&amp;&amp;(o=e)}for(a=t.numberOfInputs;a--;)if(t.inputConnection[a]?.filter.shouldUpdate()||e.getInputData(a)?.getMTime()&gt;o)return!0;return!1},t.numberOfInputs){let n=t.numberOfInputs;for(;n--;)t.inputData.push(null),t.inputConnection.push(null);e.setInputData=o,e.setInputConnection=a,e.addInputData=function(e){t.deleted?Tt(&quot;instance deleted - cannot call any method&quot;):o(e,i())},e.addInputConnection=function(e){t.deleted?Tt(&quot;instance deleted - cannot call any method&quot;):a(e,i())},e.getInputData=function(e=0){return t.inputConnection[e]&amp;&amp;(t.inputData[e]=t.inputConnection[e]()),t.inputData[e]},e.getInputConnection=function(e=0){return t.inputConnection[e]}}r&amp;&amp;(e.getOutputData=s,e.getOutputPort=function(t=0){const n=()=&gt;s(t);return n.filter=e,n}),e.update=()=&gt;{const n=[];if(t.numberOfInputs){let r=0;for(;r&lt;t.numberOfInputs;)n[r]=e.getInputData(r),r++}e.requestData&amp;&amp;!e.isDeleted()&amp;&amp;e.shouldUpdate()&amp;&amp;e.requestData(n,t.output)},e.getNumberOfInputPorts=()=&gt;t.numberOfInputs,e.getNumberOfOutputPorts=()=&gt;r||t.output.length,e.getInputArrayToProcess=e=&gt;{const n=t.inputArrayToProcess[e],r=t.inputData[e];return n&amp;&amp;r?r[`get${n.fieldAssociation}`]().getArray(n.arrayName):null},e.setInputArrayToProcess=(e,n,r,o=&quot;Scalars&quot;)=&gt;{for(;t.inputArrayToProcess.length&lt;e;)t.inputArrayToProcess.push(null);t.inputArrayToProcess[e]={arrayName:n,fieldAssociation:r,attributeType:o}}}const Ht=Symbol(&quot;Event abort&quot;);function jt(e,t,n){const r=[],o=e.delete;let a=1;function i(e){for(let t=0;t&lt;r.length;++t){const[n]=r[t];if(n===e)return void r.splice(t,1)}}e[`invoke${wt(n)}`]=function(){if(t.deleted)return void Tt(&quot;instance deleted - cannot call any method&quot;);const n=r.slice();for(let t=0;t&lt;n.length;++t){const[,r,o]=n[t];if(r)if(o&lt;0)setTimeout((()=&gt;r.apply(e,arguments)),1-o);else{if(r.apply(e,arguments)===Ht)break}}},e[`on${wt(n)}`]=(e,o=0)=&gt;{if(!e.apply)return console.error(`Invalid callback for event ${n}`),null;if(t.deleted)return Tt(&quot;instance deleted - cannot call any method&quot;),null;const s=a++;return r.push([s,e,o]),r.sort(((e,t)=&gt;t[2]-e[2])),function(e){return Object.freeze({unsubscribe:function(){i(e)}})}(s)},e.delete=()=&gt;{o(),r.forEach((([e])=&gt;i(e)))}}function Xt(e,t){const n=(t={})=&gt;{const n={};return e(n,{},t),Object.freeze(n)};return t&amp;&amp;it.register(t,n),n}function qt(...e){return(...t)=&gt;e.filter((e=&gt;!!e)).map((e=&gt;e(...t)))}function Yt(e){return e&amp;&amp;e.isA&amp;&amp;e.isA(&quot;vtkObject&quot;)}function Jt(e,t,n=[],r=[]){if(Yt(e)){if(r.indexOf(e)&gt;=0)return n;r.push(e);const o=t(e);void 0!==o&amp;&amp;n.push(o);const a=e.get();Object.keys(a).forEach((e=&gt;{const o=a[e];Array.isArray(o)?o.forEach((e=&gt;{Jt(e,t,n,r)})):Jt(o,t,n,r)}))}return n}function Zt(e,t,n){let r;const o=(...o)=&gt;{const a=this,i=n&amp;&amp;!r;clearTimeout(r),r=setTimeout((()=&gt;{r=null,n||e.apply(a,o)}),t),i&amp;&amp;e.apply(a,o)};return o.cancel=()=&gt;clearTimeout(r),o}function Qt(e,t){let n=!1,r=null;function o(){n=!1,null!==r&amp;&amp;(a(...r),r=null)}function a(...a){n?r=a:(n=!0,e(...a),setTimeout(o,t))}return a}function $t(e,t,n={}){t.keystore=Object.assign(t.keystore||{},n),e.setKey=(e,n)=&gt;{t.keystore[e]=n},e.getKey=e=&gt;t.keystore[e],e.getAllKeys=()=&gt;Object.keys(t.keystore),e.deleteKey=e=&gt;delete t.keystore[e],e.clearKeystore=()=&gt;e.getAllKeys().forEach((e=&gt;delete t.keystore[e]))}let en=1;const tn=&quot;__root__&quot;;function nn(e,t){$t(e,t);const n=e.delete;t.proxyId=&quot;&quot;+en++,t.ui=JSON.parse(JSON.stringify(t.ui||[])),Bt(e,t,[&quot;proxyId&quot;,&quot;proxyGroup&quot;,&quot;proxyName&quot;]),Gt(e,t,[&quot;proxyManager&quot;]);const r={},o={};function a(e,t){o[t]||(o[t]=[]);const n=o[t];for(let t=0;t&lt;e.length;t++)n.push(e[t].name),r[e[t].name]=e[t],e[t].children&amp;&amp;e[t].children.length&amp;&amp;a(e[t].children,e[t].name)}function i(n=tn){const r=[],a=t.proxyId,s=function(e=tn){return o[e]}(n)||[];for(let t=0;t&lt;s.length;t++){const n=s[t],o=e[`get${wt(n)}`],l={id:a,name:n,value:o?o():void 0},c=i(n);c.length&amp;&amp;(l.children=c),r.push(l)}return r}a(t.ui,tn),e.updateUI=n=&gt;{t.ui=JSON.parse(JSON.stringify(n||[])),Object.keys(r).forEach((e=&gt;delete r[e])),Object.keys(o).forEach((e=&gt;delete o[e])),a(t.ui,tn),e.modified()},e.updateProxyProperty=(e,t)=&gt;{const n=r[e];n?Object.assign(n,t):r[e]={...t}},e.activate=()=&gt;{if(t.proxyManager){const n=`setActive${wt(e.getProxyGroup().slice(0,-1))}`;t.proxyManager[n]&amp;&amp;t.proxyManager[n](e)}},t.propertyLinkSubscribers={},e.registerPropertyLinkForGC=(e,n)=&gt;{n in t.propertyLinkSubscribers||(t.propertyLinkSubscribers[n]=[]),t.propertyLinkSubscribers[n].push(e)},e.gcPropertyLinks=n=&gt;{const r=t.propertyLinkSubscribers[n]||[];for(;r.length;)r.pop().unbind(e)},t.propertyLinkMap={},e.getPropertyLink=(e,n=!1)=&gt;{if(t.propertyLinkMap[e])return t.propertyLinkMap[e];let r=null;const o=[];let a=0,i=!1;function s(n,s=!1){if(i)return null;const l=[];let c=null;for(a=o.length;a--;){const e=o[a];e.instance===n?c=e:l.push(e)}if(!c)return null;const u=c.instance[`get${wt(c.propertyName)}`]();if(!function(e,t){if(e===t)return!0;if(Array.isArray(e)&amp;&amp;Array.isArray(t)){if(e.length!==t.length)return!1;for(let n=0;n&lt;e.length;n++)if(e[n]!==t[n])return!1;return!0}return!1}(u,r)||s){for(r=u,i=!0;l.length;){const e=l.pop();e.instance.set({[e.propertyName]:r})}i=!1}return t.propertyLinkMap[e].persistent&amp;&amp;(t.propertyLinkMap[e].value=u),u}function l(e,t){const n=[];for(a=o.length;a--;){const r=o[a];r.instance!==e||r.propertyName!==t&amp;&amp;void 0!==t||(r.subscription.unsubscribe(),n.push(a))}for(;n.length;)o.splice(n.pop(),1)}const c={bind:function(n,r,a=!1){const i=n.onModified(s),c=o[0];return o.push({instance:n,propertyName:r,subscription:i}),a&amp;&amp;(t.propertyLinkMap[e].persistent&amp;&amp;void 0!==t.propertyLinkMap[e].value?n.set({[r]:t.propertyLinkMap[e].value}):c&amp;&amp;s(c.instance,!0)),{unsubscribe:()=&gt;l(n,r)}},unbind:l,unsubscribe:function(){for(;o.length;)o.pop().subscription.unsubscribe()},persistent:n};return t.propertyLinkMap[e]=c,c},e.listPropertyNames=()=&gt;i().map((e=&gt;e.name)),e.getPropertyByName=e=&gt;i().find((t=&gt;t.name===e)),e.getPropertyDomainByName=e=&gt;(r[e]||{}).domain,e.getProxySection=()=&gt;({id:t.proxyId,name:t.proxyGroup,ui:t.ui,properties:i()}),e.delete=()=&gt;{const r=Object.keys(t.propertyLinkMap);let o=r.length;for(;o--;)t.propertyLinkMap[r[o]].unsubscribe();Object.keys(t.propertyLinkSubscribers).forEach(e.gcPropertyLinks),n()},e.getState=()=&gt;null,Dt((function(){if(t.links)for(let n=0;n&lt;t.links.length;n++){const{link:r,property:o,persistent:a,updateOnBind:i,type:s}=t.links[n];if(&quot;application&quot;===s){const n=t.proxyManager.getPropertyLink(r,a);e.registerPropertyLinkForGC(n,&quot;application&quot;),n.bind(e,o,i)}}}))}function rn(e,t,n){const r=e.delete,o=[],a=Object.keys(n);let i=a.length;for(;i--;){const r=a[i],{modelKey:s,property:l,modified:c=!0}=n[r],u=wt(l),d=wt(r);e[`get${d}`]=t[s][`get${u}`],e[`set${d}`]=t[s][`set${u}`],c&amp;&amp;o.push(t[s].onModified(e.modified))}e.delete=()=&gt;{for(;o.length;)o.pop().unsubscribe();r()}}function on(e,t,n={},r={}){function o(e){const n=Object.keys(e);let r=n.length;for(;r--;){const o=n[r];t[o].set(e[o])}}t.this=e;const a=Object.keys(r);let i=a.length;for(;i--;){const s=a[i];t[s]=r[s];const l=n[s];e[`set${wt(s)}`]=n=&gt;{if(n!==t[s]){t[s]=n;o(l[n]),e.modified()}}}a.length&amp;&amp;Bt(e,t,a)}function an(e){let t=0,n=0,r=0,o=0;return&quot;detail&quot;in e&amp;&amp;(n=e.detail),&quot;wheelDelta&quot;in e&amp;&amp;(n=-e.wheelDelta/120),&quot;wheelDeltaY&quot;in e&amp;&amp;(n=-e.wheelDeltaY/120),&quot;wheelDeltaX&quot;in e&amp;&amp;(t=-e.wheelDeltaX/120),&quot;axis&quot;in e&amp;&amp;e.axis===e.HORIZONTAL_AXIS&amp;&amp;(t=n,n=0),r=10*t,o=10*n,&quot;deltaY&quot;in e&amp;&amp;(o=e.deltaY),&quot;deltaX&quot;in e&amp;&amp;(r=e.deltaX),(r||o)&amp;&amp;e.deltaMode&amp;&amp;(1===e.deltaMode?(r*=40,o*=40):(r*=800,o*=800)),r&amp;&amp;!t&amp;&amp;(t=r&lt;1?-1:1),o&amp;&amp;!n&amp;&amp;(n=o&lt;1?-1:1),{spinX:t,spinY:n||t,pixelX:r,pixelY:o||r}}var sn={algo:Wt,capitalize:Pt,chain:qt,debounce:Zt,enumToString:function(e,t){return Object.keys(e).find((n=&gt;e[n]===t))},event:jt,EVENT_ABORT:Ht,formatBytesToProperUnit:Ot,formatNumbersWithThousandSeparator:Rt,get:Bt,getArray:Ut,getCurrentGlobalMTime:function(){return lt},getStateArrayMapFunc:function(e){return e&amp;&amp;e.isA?e.getState():e},isVtkObject:Yt,keystore:$t,measurePromiseExecution:Et,moveToProtected:zt,newInstance:Xt,newTypedArray:Ct,newTypedArrayFrom:St,normalizeWheel:an,obj:Vt,proxy:nn,proxyPropertyMapping:rn,proxyPropertyState:on,safeArrays:Mt,set:kt,setArray:_t,setGet:Gt,setGetArray:Kt,setImmediate:Dt,setLoggerFunction:gt,throttle:Qt,traverseInstanceTree:Jt,TYPED_ARRAYS:At,uncapitalize:It,VOID:ut,vtkDebugMacro:vt,vtkErrorMacro:Tt,vtkInfoMacro:ht,vtkLogMacro:mt,vtkOnceErrorMacro:bt,vtkWarningMacro:xt,objectSetterMap:Ft,requiredParam:ct},ln=Object.freeze({__proto__:null,requiredParam:ct,VOID:ut,setLoggerFunction:gt,vtkLogMacro:mt,vtkInfoMacro:ht,vtkDebugMacro:vt,vtkErrorMacro:Tt,vtkWarningMacro:xt,vtkOnceErrorMacro:bt,TYPED_ARRAYS:At,newTypedArray:Ct,newTypedArrayFrom:St,capitalize:Pt,_capitalize:wt,uncapitalize:It,formatBytesToProperUnit:Ot,formatNumbersWithThousandSeparator:Rt,setImmediateVTK:Dt,measurePromiseExecution:Et,obj:Vt,get:Bt,set:kt,setGet:Gt,getArray:Ut,setArray:_t,setGetArray:Kt,moveToProtected:zt,algo:Wt,EVENT_ABORT:Ht,event:jt,newInstance:Xt,chain:qt,isVtkObject:Yt,traverseInstanceTree:Jt,debounce:Zt,throttle:Qt,keystore:$t,proxy:nn,proxyPropertyMapping:rn,proxyPropertyState:on,normalizeWheel:an,default:sn});const{vtkErrorMacro:cn}=sn;const un={renderable:null,myFactory:null,children:[],visited:!1};function dn(e,t,n={}){Object.assign(t,un,n),sn.obj(e,t),sn.event(e,t,&quot;event&quot;),t._renderableChildMap=new Map,sn.get(e,t,[&quot;visited&quot;]),sn.setGet(e,t,[&quot;_parent&quot;,&quot;renderable&quot;,&quot;myFactory&quot;]),sn.getArray(e,t,[&quot;children&quot;]),sn.moveToProtected(e,t,[&quot;parent&quot;]),function(e,t){function n(e,n){for(let r=0;r&lt;t.children.length;++r){const o=(n+1+r)%t.children.length;if(t.children[o]===e)return t.children[o]=t.children[n],t.children[n]=e,!0}return!1}t.classHierarchy.push(&quot;vtkViewNode&quot;),e.build=e=&gt;{},e.render=e=&gt;{},e.traverse=n=&gt;{const r=n.getTraverseOperation(),o=e[r];if(o)o(n);else{e.apply(n,!0);for(let e=0;e&lt;t.children.length;e++)t.children[e].traverse(n);e.apply(n,!1)}},e.apply=(t,n)=&gt;{const r=e[t.getOperation()];r&amp;&amp;r(n,t)},e.getViewNodeFor=(n,r=null)=&gt;{if(r&amp;&amp;r.renderable===n)return r;if(t.renderable===n)return e;for(let e=0;e&lt;t.children.length;++e){const r=t.children[e].getViewNodeFor(n);if(r)return r}},e.getFirstAncestorOfType=e=&gt;t._parent?t._parent.isA(e)?t._parent:t._parent.getFirstAncestorOfType(e):null,e.getLastAncestorOfType=e=&gt;{if(!t._parent)return null;return t._parent.getLastAncestorOfType(e)||(t._parent.isA(e)?t._parent:null)},e.addMissingNode=n=&gt;{if(!n)return;const r=t._renderableChildMap.get(n);if(void 0!==r)return r.setVisited(!0),r;const o=e.createViewNode(n);return o?(o.setParent(e),o.setVisited(!0),t._renderableChildMap.set(n,o),t.children.push(o),o):void 0},e.addMissingNodes=(r,o=!1)=&gt;{if(!r||!r.length)return;let a;for(let i=0;i&lt;r.length;++i){const s=r[i],l=e.addMissingNode(s);o&amp;&amp;void 0!==l&amp;&amp;(void 0===a?a=t.children.lastIndexOf(l):t.children[a]!==l&amp;&amp;n(t.children,l),a++)}},e.addMissingChildren=n=&gt;{if(n&amp;&amp;n.length)for(let r=0;r&lt;n.length;++r){const o=n[r];if(-1===t.children.indexOf(o)){o.setParent(e),t.children.push(o);const n=o.getRenderable();n&amp;&amp;t._renderableChildMap.set(n,o)}o.setVisited(!0)}},e.removeNode=e=&gt;{const n=t.children.findIndex((t=&gt;t===e));if(n&lt;0)return!1;const r=e.getRenderable();return r&amp;&amp;t._renderableChildMap.delete(r),e.delete(),t.children.splice(n,1),!0},e.prepareNodes=()=&gt;{for(let e=0;e&lt;t.children.length;++e)t.children[e].setVisited(!1)},e.setVisited=e=&gt;{t.visited=e},e.removeUnusedNodes=()=&gt;{let e=0;for(let n=0;n&lt;t.children.length;++n){const r=t.children[n];if(r.getVisited())t.children[e++]=r,r.setVisited(!1);else{const e=r.getRenderable();e&amp;&amp;t._renderableChildMap.delete(e),r.delete()}}t.children.length=e},e.createViewNode=e=&gt;{if(!t.myFactory)return cn(&quot;Cannot create view nodes without my own factory&quot;),null;const n=t.myFactory.createNode(e);return n&amp;&amp;n.setRenderable(e),n};const r=e.delete;e.delete=()=&gt;{for(let e=0;e&lt;t.children.length;e++)t.children[e].delete();r()}}(e,t)}var pn={newInstance:sn.newInstance(dn,&quot;vtkViewNode&quot;),extend:dn,PASS_TYPES:[&quot;Build&quot;,&quot;Render&quot;]};const fn={};function gn(e,t,n={}){Object.assign(t,fn,n),sn.obj(e,t),function(e,t){t.overrides||(t.overrides={}),t.classHierarchy.push(&quot;vtkViewNodeFactory&quot;),e.createNode=n=&gt;{if(n.isDeleted())return null;let r=0,o=n.getClassName(r++),a=!1;const i=Object.keys(t.overrides);for(;o&amp;&amp;!a;)-1!==i.indexOf(o)?a=!0:o=n.getClassName(r++);if(!a)return null;const s=t.overrides[o]();return s.setMyFactory(e),s}}(e,t)}var mn={newInstance:sn.newInstance(gn,&quot;vtkViewNodeFactory&quot;),extend:gn};const hn=Object.create(null);function vn(e,t){hn[e]=t}const Tn={};function xn(e,t,n={}){Object.assign(t,Tn,n),t.overrides=hn,mn.extend(e,t,n),function(e,t){t.classHierarchy.push(&quot;vtkOpenGLViewNodeFactory&quot;)}(0,t)}var yn={newInstance:sn.newInstance(xn,&quot;vtkOpenGLViewNodeFactory&quot;),extend:xn};const bn={context:null,lastRenderer:null,keyMatrixTime:null,keyMatrices:null};vn(&quot;vtkCamera&quot;,Xt((function(e,t,n={}){Object.assign(t,bn,n),pn.extend(e,t,n),t.keyMatrixTime={},Vt(t.keyMatrixTime),t.keyMatrices={normalMatrix:new Float64Array(9),vcpc:new Float64Array(16),wcvc:new Float64Array(16),wcpc:new Float64Array(16)},Gt(e,t,[&quot;context&quot;,&quot;keyMatrixTime&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkOpenGLCamera&quot;),e.buildPass=n=&gt;{n&amp;&amp;(t._openGLRenderer=e.getFirstAncestorOfType(&quot;vtkOpenGLRenderer&quot;),t._openGLRenderWindow=t._openGLRenderer.getParent(),t.context=t._openGLRenderWindow.getContext())},e.opaquePass=e=&gt;{if(e){const e=t._openGLRenderer.getTiledSizeAndOrigin();t.context.viewport(e.lowerLeftU,e.lowerLeftV,e.usize,e.vsize),t.context.scissor(e.lowerLeftU,e.lowerLeftV,e.usize,e.vsize)}},e.translucentPass=e.opaquePass,e.zBufferPass=e.opaquePass,e.opaqueZBufferPass=e.opaquePass,e.volumePass=e.opaquePass,e.getKeyMatrices=n=&gt;{if(n!==t.lastRenderer||t._openGLRenderWindow.getMTime()&gt;t.keyMatrixTime.getMTime()||e.getMTime()&gt;t.keyMatrixTime.getMTime()||n.getMTime()&gt;t.keyMatrixTime.getMTime()||t.renderable.getMTime()&gt;t.keyMatrixTime.getMTime()){T(t.keyMatrices.wcvc,t.renderable.getViewMatrix()),s(t.keyMatrices.normalMatrix,t.keyMatrices.wcvc),d(t.keyMatrices.normalMatrix,t.keyMatrices.normalMatrix),y(t.keyMatrices.wcvc,t.keyMatrices.wcvc);const e=t._openGLRenderer.getAspectRatio();T(t.keyMatrices.vcpc,t.renderable.getProjectionMatrix(e,-1,1)),y(t.keyMatrices.vcpc,t.keyMatrices.vcpc),A(t.keyMatrices.wcpc,t.keyMatrices.vcpc,t.keyMatrices.wcvc),t.keyMatrixTime.modified(),t.lastRenderer=n}return t.keyMatrices}}(e,t)})));const{vtkDebugMacro:An}=ln;const Cn={context:null,_openGLRenderWindow:null,selector:null};vn(&quot;vtkRenderer&quot;,Xt((function(e,t,n={}){Object.assign(t,Cn,n),pn.extend(e,t,n),Bt(e,t,[&quot;shaderCache&quot;]),Gt(e,t,[&quot;selector&quot;]),zt(0,t,[&quot;openGLRenderWindow&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkOpenGLRenderer&quot;),e.buildPass=n=&gt;{if(n){if(!t.renderable)return;e.updateLights(),e.prepareNodes(),e.addMissingNode(t.renderable.getActiveCamera()),e.addMissingNodes(t.renderable.getViewPropsWithNestedProps(),!0),e.removeUnusedNodes()}},e.updateLights=()=&gt;{let e=0;const n=t.renderable.getLightsByReference();for(let t=0;t&lt;n.length;++t)n[t].getSwitch()&gt;0&amp;&amp;e++;return e||(An(&quot;No lights are on, creating one.&quot;),t.renderable.createLight()),e},e.zBufferPass=n=&gt;{if(n){let n=0;const r=t.context;t.renderable.getTransparent()||(t.context.clearColor(1,0,0,1),n|=r.COLOR_BUFFER_BIT),t.renderable.getPreserveDepthBuffer()||(r.clearDepth(1),n|=r.DEPTH_BUFFER_BIT,t.context.depthMask(!0));const o=e.getTiledSizeAndOrigin();r.enable(r.SCISSOR_TEST),r.scissor(o.lowerLeftU,o.lowerLeftV,o.usize,o.vsize),r.viewport(o.lowerLeftU,o.lowerLeftV,o.usize,o.vsize),r.colorMask(!0,!0,!0,!0),n&amp;&amp;r.clear(n),r.enable(r.DEPTH_TEST)}},e.opaqueZBufferPass=t=&gt;e.zBufferPass(t),e.cameraPass=t=&gt;{t&amp;&amp;e.clear()},e.getAspectRatio=()=&gt;{const e=t._parent.getSizeByReference(),n=t.renderable.getViewportByReference();return e[0]*(n[2]-n[0])/((n[3]-n[1])*e[1])},e.getTiledSizeAndOrigin=()=&gt;{const e=t.renderable.getViewportByReference(),n=[0,0,1,1],r=e[0]-n[0],o=e[1]-n[1],a=t._parent.normalizedDisplayToDisplay(r,o),i=Math.round(a[0]),s=Math.round(a[1]),l=e[2]-n[0],c=e[3]-n[1],u=t._parent.normalizedDisplayToDisplay(l,c);let d=Math.round(u[0])-i,p=Math.round(u[1])-s;return d&lt;0&amp;&amp;(d=0),p&lt;0&amp;&amp;(p=0),{usize:d,vsize:p,lowerLeftU:i,lowerLeftV:s}},e.clear=()=&gt;{let n=0;const r=t.context;if(!t.renderable.getTransparent()){const e=t.renderable.getBackgroundByReference();r.clearColor(e[0],e[1],e[2],e[3]),n|=r.COLOR_BUFFER_BIT}t.renderable.getPreserveDepthBuffer()||(r.clearDepth(1),n|=r.DEPTH_BUFFER_BIT,r.depthMask(!0)),r.colorMask(!0,!0,!0,!0);const o=e.getTiledSizeAndOrigin();r.enable(r.SCISSOR_TEST),r.scissor(o.lowerLeftU,o.lowerLeftV,o.usize,o.vsize),r.viewport(o.lowerLeftU,o.lowerLeftV,o.usize,o.vsize),n&amp;&amp;r.clear(n),r.enable(r.DEPTH_TEST)},e.releaseGraphicsResources=()=&gt;{null!==t.selector&amp;&amp;t.selector.releaseGraphicsResources(),t.renderable&amp;&amp;t.renderable.getViewProps().forEach((e=&gt;{e.modified()}))},e.setOpenGLRenderWindow=n=&gt;{t._openGLRenderWindow!==n&amp;&amp;(e.releaseGraphicsResources(),t._openGLRenderWindow=n,t.context=null,n&amp;&amp;(t.context=t._openGLRenderWindow.getContext()))}}(e,t)}),&quot;vtkOpenGLRenderer&quot;));const Sn={context:null,keyMatrixTime:null,keyMatrices:null,activeTextures:null};vn(&quot;vtkActor&quot;,Xt((function(e,t,n={}){Object.assign(t,Sn,n),pn.extend(e,t,n),t.keyMatrixTime={},Vt(t.keyMatrixTime,{mtime:0}),t.keyMatrices={normalMatrix:c(new Float64Array(9)),mcwc:x(new Float64Array(16))},Gt(e,t,[&quot;context&quot;]),Bt(e,t,[&quot;activeTextures&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkOpenGLActor&quot;),e.buildPass=n=&gt;{if(n){t._openGLRenderWindow=e.getLastAncestorOfType(&quot;vtkOpenGLRenderWindow&quot;),t._openGLRenderer=e.getFirstAncestorOfType(&quot;vtkOpenGLRenderer&quot;),t.context=t._openGLRenderWindow.getContext(),e.prepareNodes(),e.addMissingNodes(t.renderable.getTextures()),e.addMissingNode(t.renderable.getMapper()),e.removeUnusedNodes(),t.ogltextures=null,t.activeTextures=null;for(let e=0;e&lt;t.children.length;e++){const n=t.children[e];n.isA(&quot;vtkOpenGLTexture&quot;)?(t.ogltextures||(t.ogltextures=[]),t.ogltextures.push(n)):t.oglmapper=n}}},e.traverseZBufferPass=n=&gt;{t.renderable&amp;&amp;t.renderable.getNestedVisibility()&amp;&amp;(!t._openGLRenderer.getSelector()||t.renderable.getNestedPickable())&amp;&amp;(e.apply(n,!0),t.oglmapper.traverse(n),e.apply(n,!1))},e.traverseOpaqueZBufferPass=t=&gt;e.traverseOpaquePass(t),e.traverseOpaquePass=n=&gt;{t.renderable&amp;&amp;t.renderable.getNestedVisibility()&amp;&amp;t.renderable.getIsOpaque()&amp;&amp;(!t._openGLRenderer.getSelector()||t.renderable.getNestedPickable())&amp;&amp;(e.apply(n,!0),t.oglmapper.traverse(n),e.apply(n,!1))},e.traverseTranslucentPass=n=&gt;{!t.renderable||!t.renderable.getNestedVisibility()||t.renderable.getIsOpaque()||t._openGLRenderer.getSelector()&amp;&amp;!t.renderable.getNestedPickable()||(e.apply(n,!0),t.oglmapper.traverse(n),e.apply(n,!1))},e.activateTextures=()=&gt;{if(t.ogltextures){t.activeTextures=[];for(let e=0;e&lt;t.ogltextures.length;e++){const n=t.ogltextures[e];n.render(),n.getHandle()&amp;&amp;t.activeTextures.push(n)}}},e.queryPass=(e,n)=&gt;{if(e){if(!t.renderable||!t.renderable.getVisibility())return;t.renderable.getIsOpaque()?n.incrementOpaqueActorCount():n.incrementTranslucentActorCount()}},e.zBufferPass=(t,n)=&gt;e.opaquePass(t,n),e.opaqueZBufferPass=(t,n)=&gt;e.opaquePass(t,n),e.opaquePass=(n,r)=&gt;{if(n)t.context.depthMask(!0),e.activateTextures();else if(t.activeTextures)for(let e=0;e&lt;t.activeTextures.length;e++)t.activeTextures[e].deactivate()},e.translucentPass=(n,r)=&gt;{if(n)t.context.depthMask(t._openGLRenderer.getSelector()&amp;&amp;t.renderable.getNestedPickable()),e.activateTextures();else if(t.activeTextures)for(let e=0;e&lt;t.activeTextures.length;e++)t.activeTextures[e].deactivate()},e.getKeyMatrices=()=&gt;(t.renderable.getMTime()&gt;t.keyMatrixTime.getMTime()&amp;&amp;(t.renderable.computeMatrix(),T(t.keyMatrices.mcwc,t.renderable.getMatrix()),y(t.keyMatrices.mcwc,t.keyMatrices.mcwc),t.renderable.getIsIdentity()?c(t.keyMatrices.normalMatrix):(s(t.keyMatrices.normalMatrix,t.keyMatrices.mcwc),d(t.keyMatrices.normalMatrix,t.keyMatrices.normalMatrix),u(t.keyMatrices.normalMatrix,t.keyMatrices.normalMatrix)),t.keyMatrixTime.modified()),t.keyMatrices)}(e,t)})));const Pn={context:null,activeTextures:null};function wn(e,t){return null==e||null==t?NaN:e&lt;t?-1:e&gt;t?1:e&gt;=t?0:NaN}function In(e){let t=e,n=e,r=e;function o(e,t,o=0,a=e.length){if(o&lt;a){if(0!==n(t,t))return a;do{const n=o+a&gt;&gt;&gt;1;r(e[n],t)&lt;0?o=n+1:a=n}while(o&lt;a)}return o}return 1===e.length&amp;&amp;(t=(t,n)=&gt;e(t)-n,n=wn,r=(t,n)=&gt;wn(e(t),n)),{left:o,center:function(e,n,r=0,a=e.length){const i=o(e,n,r,a-1);return i&gt;r&amp;&amp;t(e[i-1],n)&gt;-t(e[i],n)?i-1:i},right:function(e,t,o=0,a=e.length){if(o&lt;a){if(0!==n(t,t))return a;do{const n=o+a&gt;&gt;&gt;1;r(e[n],t)&lt;=0?o=n+1:a=n}while(o&lt;a)}return o}}}vn(&quot;vtkActor2D&quot;,Xt((function(e,t,n={}){Object.assign(t,Pn,n),pn.extend(e,t,n),Gt(e,t,[&quot;context&quot;]),Bt(e,t,[&quot;activeTextures&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkOpenGLActor2D&quot;),e.buildPass=n=&gt;{if(n){if(!t.renderable)return;t._openGLRenderWindow=e.getLastAncestorOfType(&quot;vtkOpenGLRenderWindow&quot;),t._openGLRenderer=e.getFirstAncestorOfType(&quot;vtkOpenGLRenderer&quot;),t.context=t._openGLRenderWindow.getContext(),e.prepareNodes(),e.addMissingNodes(t.renderable.getTextures()),e.addMissingNode(t.renderable.getMapper()),e.removeUnusedNodes(),t.ogltextures=null,t.activeTextures=null;for(let e=0;e&lt;t.children.length;e++){const n=t.children[e];n.isA(&quot;vtkOpenGLTexture&quot;)?(t.ogltextures||(t.ogltextures=[]),t.ogltextures.push(n)):t.oglmapper=n}}},e.queryPass=(e,n)=&gt;{if(e){if(!t.renderable||!t.renderable.getVisibility())return;n.incrementOverlayActorCount()}},e.traverseOpaquePass=n=&gt;{t.oglmapper&amp;&amp;t.renderable&amp;&amp;t.renderable.getNestedVisibility()&amp;&amp;t.renderable.getIsOpaque()&amp;&amp;(!t._openGLRenderer.getSelector()||t.renderable.getNestedPickable())&amp;&amp;(e.apply(n,!0),t.oglmapper.traverse(n),e.apply(n,!1))},e.traverseTranslucentPass=n=&gt;{t.oglmapper&amp;&amp;t.renderable&amp;&amp;t.renderable.getNestedVisibility()&amp;&amp;!t.renderable.getIsOpaque()&amp;&amp;(!t._openGLRenderer.getSelector()||t.renderable.getNestedPickable())&amp;&amp;(e.apply(n,!0),t.oglmapper.traverse(n),e.apply(n,!1))},e.traverseOverlayPass=n=&gt;{t.oglmapper&amp;&amp;t.renderable&amp;&amp;t.renderable.getNestedVisibility()&amp;&amp;(!t._openGLRenderer.getSelector()||t.renderable.getNestedPickable)&amp;&amp;(e.apply(n,!0),t.oglmapper.traverse(n),e.apply(n,!1))},e.activateTextures=()=&gt;{if(t.ogltextures){t.activeTextures=[];for(let e=0;e&lt;t.ogltextures.length;e++){const n=t.ogltextures[e];n.render(),n.getHandle()&amp;&amp;t.activeTextures.push(n)}}},e.opaquePass=(n,r)=&gt;{if(n)t.context.depthMask(!0),e.activateTextures();else if(t.activeTextures)for(let e=0;e&lt;t.activeTextures.length;e++)t.activeTextures[e].deactivate()},e.translucentPass=(n,r)=&gt;{if(n)t.context.depthMask(!1),e.activateTextures();else if(t.activeTextures)for(let e=0;e&lt;t.activeTextures.length;e++)t.activeTextures[e].deactivate()},e.overlayPass=(n,r)=&gt;{if(n)t.context.depthMask(!0),e.activateTextures();else if(t.activeTextures)for(let e=0;e&lt;t.activeTextures.length;e++)t.activeTextures[e].deactivate()}}(e,t)})));const On=In(wn).right;In((function(e){return null===e?NaN:+e})).center;var Rn=On,Mn=Math.sqrt(50),Dn=Math.sqrt(10),En=Math.sqrt(2);function Vn(e,t,n){var r=(t-e)/Math.max(0,n),o=Math.floor(Math.log(r)/Math.LN10),a=r/Math.pow(10,o);return o&gt;=0?(a&gt;=Mn?10:a&gt;=Dn?5:a&gt;=En?2:1)*Math.pow(10,o):-Math.pow(10,-o)/(a&gt;=Mn?10:a&gt;=Dn?5:a&gt;=En?2:1)}function Ln(e,t){switch(arguments.length){case 0:break;case 1:this.range(e);break;default:this.range(t).domain(e)}return this}function Bn(e,t,n){e.prototype=t.prototype=n,n.constructor=e}function Fn(e,t){var n=Object.create(e.prototype);for(var r in t)n[r]=t[r];return n}function Nn(){}var kn=.7,Gn=1/kn,Un=&quot;\\\\s*([+-]?\\\\d+)\\\\s*&quot;,_n=&quot;\\\\s*([+-]?(?:\\\\d*\\\\.)?\\\\d+(?:[eE][+-]?\\\\d+)?)\\\\s*&quot;,Kn=&quot;\\\\s*([+-]?(?:\\\\d*\\\\.)?\\\\d+(?:[eE][+-]?\\\\d+)?)%\\\\s*&quot;,zn=/^#([0-9a-f]{3,8})$/,Wn=new RegExp(`^rgb\\\\(${Un},${Un},${Un}\\\\)$`),Hn=new RegExp(`^rgb\\\\(${Kn},${Kn},${Kn}\\\\)$`),jn=new RegExp(`^rgba\\\\(${Un},${Un},${Un},${_n}\\\\)$`),Xn=new RegExp(`^rgba\\\\(${Kn},${Kn},${Kn},${_n}\\\\)$`),qn=new RegExp(`^hsl\\\\(${_n},${Kn},${Kn}\\\\)$`),Yn=new RegExp(`^hsla\\\\(${_n},${Kn},${Kn},${_n}\\\\)$`),Jn={aliceblue:15792383,antiquewhite:16444375,aqua:65535,aquamarine:8388564,azure:15794175,beige:16119260,bisque:16770244,black:0,blanchedalmond:16772045,blue:255,blueviolet:9055202,brown:10824234,burlywood:14596231,cadetblue:6266528,chartreuse:8388352,chocolate:13789470,coral:16744272,cornflowerblue:6591981,cornsilk:16775388,crimson:14423100,cyan:65535,darkblue:139,darkcyan:35723,darkgoldenrod:12092939,darkgray:11119017,darkgreen:25600,darkgrey:11119017,darkkhaki:12433259,darkmagenta:9109643,darkolivegreen:5597999,darkorange:16747520,darkorchid:10040012,darkred:9109504,darksalmon:15308410,darkseagreen:9419919,darkslateblue:4734347,darkslategray:3100495,darkslategrey:3100495,darkturquoise:52945,darkviolet:9699539,deeppink:16716947,deepskyblue:49151,dimgray:6908265,dimgrey:6908265,dodgerblue:2003199,firebrick:11674146,floralwhite:16775920,forestgreen:2263842,fuchsia:16711935,gainsboro:14474460,ghostwhite:16316671,gold:16766720,goldenrod:14329120,gray:8421504,green:32768,greenyellow:11403055,grey:8421504,honeydew:15794160,hotpink:16738740,indianred:13458524,indigo:4915330,ivory:16777200,khaki:15787660,lavender:15132410,lavenderblush:16773365,lawngreen:8190976,lemonchiffon:16775885,lightblue:11393254,lightcoral:15761536,lightcyan:14745599,lightgoldenrodyellow:16448210,lightgray:13882323,lightgreen:9498256,lightgrey:13882323,lightpink:16758465,lightsalmon:16752762,lightseagreen:2142890,lightskyblue:8900346,lightslategray:7833753,lightslategrey:7833753,lightsteelblue:11584734,lightyellow:16777184,lime:65280,limegreen:3329330,linen:16445670,magenta:16711935,maroon:8388608,mediumaquamarine:6737322,mediumblue:205,mediumorchid:12211667,mediumpurple:9662683,mediumseagreen:3978097,mediumslateblue:8087790,mediumspringgreen:64154,mediumturquoise:4772300,mediumvioletred:13047173,midnightblue:1644912,mintcream:16121850,mistyrose:16770273,moccasin:16770229,navajowhite:16768685,navy:128,oldlace:16643558,olive:8421376,olivedrab:7048739,orange:16753920,orangered:16729344,orchid:14315734,palegoldenrod:15657130,palegreen:10025880,paleturquoise:11529966,palevioletred:14381203,papayawhip:16773077,peachpuff:16767673,peru:13468991,pink:16761035,plum:14524637,powderblue:11591910,purple:8388736,rebeccapurple:6697881,red:16711680,rosybrown:12357519,royalblue:4286945,saddlebrown:9127187,salmon:16416882,sandybrown:16032864,seagreen:3050327,seashell:16774638,sienna:10506797,silver:12632256,skyblue:8900331,slateblue:6970061,slategray:7372944,slategrey:7372944,snow:16775930,springgreen:65407,steelblue:4620980,tan:13808780,teal:32896,thistle:14204888,tomato:16737095,turquoise:4251856,violet:15631086,wheat:16113331,white:16777215,whitesmoke:16119285,yellow:16776960,yellowgreen:10145074};function Zn(){return this.rgb().formatHex()}function Qn(){return this.rgb().formatRgb()}function $n(e){var t,n;return e=(e+&quot;&quot;).trim().toLowerCase(),(t=zn.exec(e))?(n=t[1].length,t=parseInt(t[1],16),6===n?er(t):3===n?new rr(t&gt;&gt;8&amp;15|t&gt;&gt;4&amp;240,t&gt;&gt;4&amp;15|240&amp;t,(15&amp;t)&lt;&lt;4|15&amp;t,1):8===n?tr(t&gt;&gt;24&amp;255,t&gt;&gt;16&amp;255,t&gt;&gt;8&amp;255,(255&amp;t)/255):4===n?tr(t&gt;&gt;12&amp;15|t&gt;&gt;8&amp;240,t&gt;&gt;8&amp;15|t&gt;&gt;4&amp;240,t&gt;&gt;4&amp;15|240&amp;t,((15&amp;t)&lt;&lt;4|15&amp;t)/255):null):(t=Wn.exec(e))?new rr(t[1],t[2],t[3],1):(t=Hn.exec(e))?new rr(255*t[1]/100,255*t[2]/100,255*t[3]/100,1):(t=jn.exec(e))?tr(t[1],t[2],t[3],t[4]):(t=Xn.exec(e))?tr(255*t[1]/100,255*t[2]/100,255*t[3]/100,t[4]):(t=qn.exec(e))?cr(t[1],t[2]/100,t[3]/100,1):(t=Yn.exec(e))?cr(t[1],t[2]/100,t[3]/100,t[4]):Jn.hasOwnProperty(e)?er(Jn[e]):&quot;transparent&quot;===e?new rr(NaN,NaN,NaN,0):null}function er(e){return new rr(e&gt;&gt;16&amp;255,e&gt;&gt;8&amp;255,255&amp;e,1)}function tr(e,t,n,r){return r&lt;=0&amp;&amp;(e=t=n=NaN),new rr(e,t,n,r)}function nr(e,t,n,r){return 1===arguments.length?((o=e)instanceof Nn||(o=$n(o)),o?new rr((o=o.rgb()).r,o.g,o.b,o.opacity):new rr):new rr(e,t,n,null==r?1:r);var o}function rr(e,t,n,r){this.r=+e,this.g=+t,this.b=+n,this.opacity=+r}function or(){return`#${lr(this.r)}${lr(this.g)}${lr(this.b)}`}function ar(){const e=ir(this.opacity);return`${1===e?&quot;rgb(&quot;:&quot;rgba(&quot;}${sr(this.r)}, ${sr(this.g)}, ${sr(this.b)}${1===e?&quot;)&quot;:`, ${e})`}`}function ir(e){return isNaN(e)?1:Math.max(0,Math.min(1,e))}function sr(e){return Math.max(0,Math.min(255,Math.round(e)||0))}function lr(e){return((e=sr(e))&lt;16?&quot;0&quot;:&quot;&quot;)+e.toString(16)}function cr(e,t,n,r){return r&lt;=0?e=t=n=NaN:n&lt;=0||n&gt;=1?e=t=NaN:t&lt;=0&amp;&amp;(e=NaN),new dr(e,t,n,r)}function ur(e){if(e instanceof dr)return new dr(e.h,e.s,e.l,e.opacity);if(e instanceof Nn||(e=$n(e)),!e)return new dr;if(e instanceof dr)return e;var t=(e=e.rgb()).r/255,n=e.g/255,r=e.b/255,o=Math.min(t,n,r),a=Math.max(t,n,r),i=NaN,s=a-o,l=(a+o)/2;return s?(i=t===a?(n-r)/s+6*(n&lt;r):n===a?(r-t)/s+2:(t-n)/s+4,s/=l&lt;.5?a+o:2-a-o,i*=60):s=l&gt;0&amp;&amp;l&lt;1?0:i,new dr(i,s,l,e.opacity)}function dr(e,t,n,r){this.h=+e,this.s=+t,this.l=+n,this.opacity=+r}function pr(e){return(e=(e||0)%360)&lt;0?e+360:e}function fr(e){return Math.max(0,Math.min(1,e||0))}function gr(e,t,n){return 255*(e&lt;60?t+(n-t)*e/60:e&lt;180?n:e&lt;240?t+(n-t)*(240-e)/60:t)}Bn(Nn,$n,{copy(e){return Object.assign(new this.constructor,this,e)},displayable(){return this.rgb().displayable()},hex:Zn,formatHex:Zn,formatHex8:function(){return this.rgb().formatHex8()},formatHsl:function(){return ur(this).formatHsl()},formatRgb:Qn,toString:Qn}),Bn(rr,nr,Fn(Nn,{brighter(e){return e=null==e?Gn:Math.pow(Gn,e),new rr(this.r*e,this.g*e,this.b*e,this.opacity)},darker(e){return e=null==e?kn:Math.pow(kn,e),new rr(this.r*e,this.g*e,this.b*e,this.opacity)},rgb(){return this},clamp(){return new rr(sr(this.r),sr(this.g),sr(this.b),ir(this.opacity))},displayable(){return-.5&lt;=this.r&amp;&amp;this.r&lt;255.5&amp;&amp;-.5&lt;=this.g&amp;&amp;this.g&lt;255.5&amp;&amp;-.5&lt;=this.b&amp;&amp;this.b&lt;255.5&amp;&amp;0&lt;=this.opacity&amp;&amp;this.opacity&lt;=1},hex:or,formatHex:or,formatHex8:function(){return`#${lr(this.r)}${lr(this.g)}${lr(this.b)}${lr(255*(isNaN(this.opacity)?1:this.opacity))}`},formatRgb:ar,toString:ar})),Bn(dr,(function(e,t,n,r){return 1===arguments.length?ur(e):new dr(e,t,n,null==r?1:r)}),Fn(Nn,{brighter(e){return e=null==e?Gn:Math.pow(Gn,e),new dr(this.h,this.s,this.l*e,this.opacity)},darker(e){return e=null==e?kn:Math.pow(kn,e),new dr(this.h,this.s,this.l*e,this.opacity)},rgb(){var e=this.h%360+360*(this.h&lt;0),t=isNaN(e)||isNaN(this.s)?0:this.s,n=this.l,r=n+(n&lt;.5?n:1-n)*t,o=2*n-r;return new rr(gr(e&gt;=240?e-240:e+120,o,r),gr(e,o,r),gr(e&lt;120?e+240:e-120,o,r),this.opacity)},clamp(){return new dr(pr(this.h),fr(this.s),fr(this.l),ir(this.opacity))},displayable(){return(0&lt;=this.s&amp;&amp;this.s&lt;=1||isNaN(this.s))&amp;&amp;0&lt;=this.l&amp;&amp;this.l&lt;=1&amp;&amp;0&lt;=this.opacity&amp;&amp;this.opacity&lt;=1},formatHsl(){const e=ir(this.opacity);return`${1===e?&quot;hsl(&quot;:&quot;hsla(&quot;}${pr(this.h)}, ${100*fr(this.s)}%, ${100*fr(this.l)}%${1===e?&quot;)&quot;:`, ${e})`}`}}));var mr=e=&gt;()=&gt;e;function hr(e){return 1==(e=+e)?vr:function(t,n){return n-t?function(e,t,n){return e=Math.pow(e,n),t=Math.pow(t,n)-e,n=1/n,function(r){return Math.pow(e+r*t,n)}}(t,n,e):mr(isNaN(t)?n:t)}}function vr(e,t){var n=t-e;return n?function(e,t){return function(n){return e+n*t}}(e,n):mr(isNaN(e)?t:e)}var Tr=function e(t){var n=hr(t);function r(e,t){var r=n((e=nr(e)).r,(t=nr(t)).r),o=n(e.g,t.g),a=n(e.b,t.b),i=vr(e.opacity,t.opacity);return function(t){return e.r=r(t),e.g=o(t),e.b=a(t),e.opacity=i(t),e+&quot;&quot;}}return r.gamma=e,r}(1);function xr(e,t){t||(t=[]);var n,r=e?Math.min(t.length,e.length):0,o=t.slice();return function(a){for(n=0;n&lt;r;++n)o[n]=e[n]*(1-a)+t[n]*a;return o}}function yr(e,t){var n,r=t?t.length:0,o=e?Math.min(r,e.length):0,a=new Array(o),i=new Array(r);for(n=0;n&lt;o;++n)a[n]=Ir(e[n],t[n]);for(;n&lt;r;++n)i[n]=t[n];return function(e){for(n=0;n&lt;o;++n)i[n]=a[n](e);return i}}function br(e,t){var n=new Date;return e=+e,t=+t,function(r){return n.setTime(e*(1-r)+t*r),n}}function Ar(e,t){return e=+e,t=+t,function(n){return e*(1-n)+t*n}}function Cr(e,t){var n,r={},o={};for(n in null!==e&amp;&amp;&quot;object&quot;==typeof e||(e={}),null!==t&amp;&amp;&quot;object&quot;==typeof t||(t={}),t)n in e?r[n]=Ir(e[n],t[n]):o[n]=t[n];return function(e){for(n in r)o[n]=r[n](e);return o}}var Sr=/[-+]?(?:\\d+\\.?\\d*|\\.?\\d+)(?:[eE][-+]?\\d+)?/g,Pr=new RegExp(Sr.source,&quot;g&quot;);function wr(e,t){var n,r,o,a=Sr.lastIndex=Pr.lastIndex=0,i=-1,s=[],l=[];for(e+=&quot;&quot;,t+=&quot;&quot;;(n=Sr.exec(e))&amp;&amp;(r=Pr.exec(t));)(o=r.index)&gt;a&amp;&amp;(o=t.slice(a,o),s[i]?s[i]+=o:s[++i]=o),(n=n[0])===(r=r[0])?s[i]?s[i]+=r:s[++i]=r:(s[++i]=null,l.push({i:i,x:Ar(n,r)})),a=Pr.lastIndex;return a&lt;t.length&amp;&amp;(o=t.slice(a),s[i]?s[i]+=o:s[++i]=o),s.length&lt;2?l[0]?function(e){return function(t){return e(t)+&quot;&quot;}}(l[0].x):function(e){return function(){return e}}(t):(t=l.length,function(e){for(var n,r=0;r&lt;t;++r)s[(n=l[r]).i]=n.x(e);return s.join(&quot;&quot;)})}function Ir(e,t){var n,r=typeof t;return null==t||&quot;boolean&quot;===r?mr(t):(&quot;number&quot;===r?Ar:&quot;string&quot;===r?(n=$n(t))?(t=n,Tr):wr:t instanceof $n?Tr:t instanceof Date?br:function(e){return ArrayBuffer.isView(e)&amp;&amp;!(e instanceof DataView)}(t)?xr:Array.isArray(t)?yr:&quot;function&quot;!=typeof t.valueOf&amp;&amp;&quot;function&quot;!=typeof t.toString||isNaN(t)?Cr:Ar)(e,t)}function Or(e,t){return e=+e,t=+t,function(n){return Math.round(e*(1-n)+t*n)}}function Rr(e){return+e}var Mr=[0,1];function Dr(e){return e}function Er(e,t){return(t-=e=+e)?function(n){return(n-e)/t}:function(e){return function(){return e}}(isNaN(t)?NaN:.5)}function Vr(e,t,n){var r=e[0],o=e[1],a=t[0],i=t[1];return o&lt;r?(r=Er(o,r),a=n(i,a)):(r=Er(r,o),a=n(a,i)),function(e){return a(r(e))}}function Lr(e,t,n){var r=Math.min(e.length,t.length)-1,o=new Array(r),a=new Array(r),i=-1;for(e[r]&lt;e[0]&amp;&amp;(e=e.slice().reverse(),t=t.slice().reverse());++i&lt;r;)o[i]=Er(e[i],e[i+1]),a[i]=n(t[i],t[i+1]);return function(t){var n=Rn(e,t,1,r)-1;return a[n](o[n](t))}}function Br(){var e,t,n,r,o,a,i=Mr,s=Mr,l=Ir,c=Dr;function u(){var e,t,n,l=Math.min(i.length,s.length);return c!==Dr&amp;&amp;(e=i[0],t=i[l-1],e&gt;t&amp;&amp;(n=e,e=t,t=n),c=function(n){return Math.max(e,Math.min(t,n))}),r=l&gt;2?Lr:Vr,o=a=null,d}function d(t){return null==t||isNaN(t=+t)?n:(o||(o=r(i.map(e),s,l)))(e(c(t)))}return d.invert=function(n){return c(t((a||(a=r(s,i.map(e),Ar)))(n)))},d.domain=function(e){return arguments.length?(i=Array.from(e,Rr),u()):i.slice()},d.range=function(e){return arguments.length?(s=Array.from(e),u()):s.slice()},d.rangeRound=function(e){return s=Array.from(e),l=Or,u()},d.clamp=function(e){return arguments.length?(c=!!e||Dr,u()):c!==Dr},d.interpolate=function(e){return arguments.length?(l=e,u()):l},d.unknown=function(e){return arguments.length?(n=e,d):n},function(n,r){return e=n,t=r,u()}}function Fr(e,t){if((n=(e=t?e.toExponential(t-1):e.toExponential()).indexOf(&quot;e&quot;))&lt;0)return null;var n,r=e.slice(0,n);return[r.length&gt;1?r[0]+r.slice(2):r,+e.slice(n+1)]}function Nr(e){return(e=Fr(Math.abs(e)))?e[1]:NaN}var kr,Gr=/^(?:(.)?([&lt;&gt;=^]))?([+\\-( ])?([$#])?(0)?(\\d+)?(,)?(\\.\\d+)?(~)?([a-z%])?$/i;function Ur(e){if(!(t=Gr.exec(e)))throw new Error(&quot;invalid format: &quot;+e);var t;return new _r({fill:t[1],align:t[2],sign:t[3],symbol:t[4],zero:t[5],width:t[6],comma:t[7],precision:t[8]&amp;&amp;t[8].slice(1),trim:t[9],type:t[10]})}function _r(e){this.fill=void 0===e.fill?&quot; &quot;:e.fill+&quot;&quot;,this.align=void 0===e.align?&quot;&gt;&quot;:e.align+&quot;&quot;,this.sign=void 0===e.sign?&quot;-&quot;:e.sign+&quot;&quot;,this.symbol=void 0===e.symbol?&quot;&quot;:e.symbol+&quot;&quot;,this.zero=!!e.zero,this.width=void 0===e.width?void 0:+e.width,this.comma=!!e.comma,this.precision=void 0===e.precision?void 0:+e.precision,this.trim=!!e.trim,this.type=void 0===e.type?&quot;&quot;:e.type+&quot;&quot;}function Kr(e,t){var n=Fr(e,t);if(!n)return e+&quot;&quot;;var r=n[0],o=n[1];return o&lt;0?&quot;0.&quot;+new Array(-o).join(&quot;0&quot;)+r:r.length&gt;o+1?r.slice(0,o+1)+&quot;.&quot;+r.slice(o+1):r+new Array(o-r.length+2).join(&quot;0&quot;)}Ur.prototype=_r.prototype,_r.prototype.toString=function(){return this.fill+this.align+this.sign+this.symbol+(this.zero?&quot;0&quot;:&quot;&quot;)+(void 0===this.width?&quot;&quot;:Math.max(1,0|this.width))+(this.comma?&quot;,&quot;:&quot;&quot;)+(void 0===this.precision?&quot;&quot;:&quot;.&quot;+Math.max(0,0|this.precision))+(this.trim?&quot;~&quot;:&quot;&quot;)+this.type};var zr={&quot;%&quot;:(e,t)=&gt;(100*e).toFixed(t),b:e=&gt;Math.round(e).toString(2),c:e=&gt;e+&quot;&quot;,d:function(e){return Math.abs(e=Math.round(e))&gt;=1e21?e.toLocaleString(&quot;en&quot;).replace(/,/g,&quot;&quot;):e.toString(10)},e:(e,t)=&gt;e.toExponential(t),f:(e,t)=&gt;e.toFixed(t),g:(e,t)=&gt;e.toPrecision(t),o:e=&gt;Math.round(e).toString(8),p:(e,t)=&gt;Kr(100*e,t),r:Kr,s:function(e,t){var n=Fr(e,t);if(!n)return e+&quot;&quot;;var r=n[0],o=n[1],a=o-(kr=3*Math.max(-8,Math.min(8,Math.floor(o/3))))+1,i=r.length;return a===i?r:a&gt;i?r+new Array(a-i+1).join(&quot;0&quot;):a&gt;0?r.slice(0,a)+&quot;.&quot;+r.slice(a):&quot;0.&quot;+new Array(1-a).join(&quot;0&quot;)+Fr(e,Math.max(0,t+a-1))[0]},X:e=&gt;Math.round(e).toString(16).toUpperCase(),x:e=&gt;Math.round(e).toString(16)};function Wr(e){return e}var Hr,jr,Xr,qr=Array.prototype.map,Yr=[&quot;y&quot;,&quot;z&quot;,&quot;a&quot;,&quot;f&quot;,&quot;p&quot;,&quot;n&quot;,&quot;µ&quot;,&quot;m&quot;,&quot;&quot;,&quot;k&quot;,&quot;M&quot;,&quot;G&quot;,&quot;T&quot;,&quot;P&quot;,&quot;E&quot;,&quot;Z&quot;,&quot;Y&quot;];function Jr(e){var t,n,r=void 0===e.grouping||void 0===e.thousands?Wr:(t=qr.call(e.grouping,Number),n=e.thousands+&quot;&quot;,function(e,r){for(var o=e.length,a=[],i=0,s=t[0],l=0;o&gt;0&amp;&amp;s&gt;0&amp;&amp;(l+s+1&gt;r&amp;&amp;(s=Math.max(1,r-l)),a.push(e.substring(o-=s,o+s)),!((l+=s+1)&gt;r));)s=t[i=(i+1)%t.length];return a.reverse().join(n)}),o=void 0===e.currency?&quot;&quot;:e.currency[0]+&quot;&quot;,a=void 0===e.currency?&quot;&quot;:e.currency[1]+&quot;&quot;,i=void 0===e.decimal?&quot;.&quot;:e.decimal+&quot;&quot;,s=void 0===e.numerals?Wr:function(e){return function(t){return t.replace(/[0-9]/g,(function(t){return e[+t]}))}}(qr.call(e.numerals,String)),l=void 0===e.percent?&quot;%&quot;:e.percent+&quot;&quot;,c=void 0===e.minus?&quot;−&quot;:e.minus+&quot;&quot;,u=void 0===e.nan?&quot;NaN&quot;:e.nan+&quot;&quot;;function d(e){var t=(e=Ur(e)).fill,n=e.align,d=e.sign,p=e.symbol,f=e.zero,g=e.width,m=e.comma,h=e.precision,v=e.trim,T=e.type;&quot;n&quot;===T?(m=!0,T=&quot;g&quot;):zr[T]||(void 0===h&amp;&amp;(h=12),v=!0,T=&quot;g&quot;),(f||&quot;0&quot;===t&amp;&amp;&quot;=&quot;===n)&amp;&amp;(f=!0,t=&quot;0&quot;,n=&quot;=&quot;);var x=&quot;$&quot;===p?o:&quot;#&quot;===p&amp;&amp;/[boxX]/.test(T)?&quot;0&quot;+T.toLowerCase():&quot;&quot;,y=&quot;$&quot;===p?a:/[%p]/.test(T)?l:&quot;&quot;,b=zr[T],A=/[defgprs%]/.test(T);function C(e){var o,a,l,p=x,C=y;if(&quot;c&quot;===T)C=b(e)+C,e=&quot;&quot;;else{var S=(e=+e)&lt;0||1/e&lt;0;if(e=isNaN(e)?u:b(Math.abs(e),h),v&amp;&amp;(e=function(e){e:for(var t,n=e.length,r=1,o=-1;r&lt;n;++r)switch(e[r]){case&quot;.&quot;:o=t=r;break;case&quot;0&quot;:0===o&amp;&amp;(o=r),t=r;break;default:if(!+e[r])break e;o&gt;0&amp;&amp;(o=0)}return o&gt;0?e.slice(0,o)+e.slice(t+1):e}(e)),S&amp;&amp;0==+e&amp;&amp;&quot;+&quot;!==d&amp;&amp;(S=!1),p=(S?&quot;(&quot;===d?d:c:&quot;-&quot;===d||&quot;(&quot;===d?&quot;&quot;:d)+p,C=(&quot;s&quot;===T?Yr[8+kr/3]:&quot;&quot;)+C+(S&amp;&amp;&quot;(&quot;===d?&quot;)&quot;:&quot;&quot;),A)for(o=-1,a=e.length;++o&lt;a;)if(48&gt;(l=e.charCodeAt(o))||l&gt;57){C=(46===l?i+e.slice(o+1):e.slice(o))+C,e=e.slice(0,o);break}}m&amp;&amp;!f&amp;&amp;(e=r(e,1/0));var P=p.length+e.length+C.length,w=P&lt;g?new Array(g-P+1).join(t):&quot;&quot;;switch(m&amp;&amp;f&amp;&amp;(e=r(w+e,w.length?g-C.length:1/0),w=&quot;&quot;),n){case&quot;&lt;&quot;:e=p+e+C+w;break;case&quot;=&quot;:e=p+w+e+C;break;case&quot;^&quot;:e=w.slice(0,P=w.length&gt;&gt;1)+p+e+C+w.slice(P);break;default:e=w+p+e+C}return s(e)}return h=void 0===h?6:/[gprs]/.test(T)?Math.max(1,Math.min(21,h)):Math.max(0,Math.min(20,h)),C.toString=function(){return e+&quot;&quot;},C}return{format:d,formatPrefix:function(e,t){var n=d(((e=Ur(e)).type=&quot;f&quot;,e)),r=3*Math.max(-8,Math.min(8,Math.floor(Nr(t)/3))),o=Math.pow(10,-r),a=Yr[8+r/3];return function(e){return n(o*e)+a}}}}function Zr(e,t,n,r){var o,a=function(e,t,n){var r=Math.abs(t-e)/Math.max(0,n),o=Math.pow(10,Math.floor(Math.log(r)/Math.LN10)),a=r/o;return a&gt;=Mn?o*=10:a&gt;=Dn?o*=5:a&gt;=En&amp;&amp;(o*=2),t&lt;e?-o:o}(e,t,n);switch((r=Ur(null==r?&quot;,f&quot;:r)).type){case&quot;s&quot;:var i=Math.max(Math.abs(e),Math.abs(t));return null!=r.precision||isNaN(o=function(e,t){return Math.max(0,3*Math.max(-8,Math.min(8,Math.floor(Nr(t)/3)))-Nr(Math.abs(e)))}(a,i))||(r.precision=o),Xr(r,i);case&quot;&quot;:case&quot;e&quot;:case&quot;g&quot;:case&quot;p&quot;:case&quot;r&quot;:null!=r.precision||isNaN(o=function(e,t){return e=Math.abs(e),t=Math.abs(t)-e,Math.max(0,Nr(t)-Nr(e))+1}(a,Math.max(Math.abs(e),Math.abs(t))))||(r.precision=o-(&quot;e&quot;===r.type));break;case&quot;f&quot;:case&quot;%&quot;:null!=r.precision||isNaN(o=function(e){return Math.max(0,-Nr(Math.abs(e)))}(a))||(r.precision=o-2*(&quot;%&quot;===r.type))}return jr(r)}function Qr(e){var t=e.domain;return e.ticks=function(e){var n=t();return function(e,t,n){var r,o,a,i,s=-1;if(n=+n,(e=+e)==(t=+t)&amp;&amp;n&gt;0)return[e];if((r=t&lt;e)&amp;&amp;(o=e,e=t,t=o),0===(i=Vn(e,t,n))||!isFinite(i))return[];if(i&gt;0){let n=Math.round(e/i),r=Math.round(t/i);for(n*i&lt;e&amp;&amp;++n,r*i&gt;t&amp;&amp;--r,a=new Array(o=r-n+1);++s&lt;o;)a[s]=(n+s)*i}else{i=-i;let n=Math.round(e*i),r=Math.round(t*i);for(n/i&lt;e&amp;&amp;++n,r/i&gt;t&amp;&amp;--r,a=new Array(o=r-n+1);++s&lt;o;)a[s]=(n+s)/i}return r&amp;&amp;a.reverse(),a}(n[0],n[n.length-1],null==e?10:e)},e.tickFormat=function(e,n){var r=t();return Zr(r[0],r[r.length-1],null==e?10:e,n)},e.nice=function(n){null==n&amp;&amp;(n=10);var r,o,a=t(),i=0,s=a.length-1,l=a[i],c=a[s],u=10;for(c&lt;l&amp;&amp;(o=l,l=c,c=o,o=i,i=s,s=o);u-- &gt;0;){if((o=Vn(l,c,n))===r)return a[i]=l,a[s]=c,t(a);if(o&gt;0)l=Math.floor(l/o)*o,c=Math.ceil(c/o)*o;else{if(!(o&lt;0))break;l=Math.ceil(l*o)/o,c=Math.floor(c*o)/o}r=o}return e},e}function $r(){var e=Br()(Dr,Dr);return e.copy=function(){return t=e,$r().domain(t.domain()).range(t.range()).interpolate(t.interpolate()).clamp(t.clamp()).unknown(t.unknown());var t},Ln.apply(e,arguments),Qr(e)}Hr=Jr({thousands:&quot;,&quot;,grouping:[3],currency:[&quot;$&quot;,&quot;&quot;]}),jr=Hr.format,Xr=Hr.formatPrefix;var eo={exports:{}};(function(e,t,n){function r(e){var t=this,n=function(){var e=4022871197,t=function(t){t=String(t);for(var n=0;n&lt;t.length;n++){var r=.02519603282416938*(e+=t.charCodeAt(n));r-=e=r&gt;&gt;&gt;0,e=(r*=e)&gt;&gt;&gt;0,e+=4294967296*(r-=e)}return 2.3283064365386963e-10*(e&gt;&gt;&gt;0)};return t}();t.next=function(){var e=2091639*t.s0+2.3283064365386963e-10*t.c;return t.s0=t.s1,t.s1=t.s2,t.s2=e-(t.c=0|e)},t.c=1,t.s0=n(&quot; &quot;),t.s1=n(&quot; &quot;),t.s2=n(&quot; &quot;),t.s0-=n(e),t.s0&lt;0&amp;&amp;(t.s0+=1),t.s1-=n(e),t.s1&lt;0&amp;&amp;(t.s1+=1),t.s2-=n(e),t.s2&lt;0&amp;&amp;(t.s2+=1),n=null}function o(e,t){return t.c=e.c,t.s0=e.s0,t.s1=e.s1,t.s2=e.s2,t}function a(e,t){var n=new r(e),a=t&amp;&amp;t.state,i=n.next;return i.int32=function(){return 4294967296*n.next()|0},i.double=function(){return i()+11102230246251565e-32*(2097152*i()|0)},i.quick=i,a&amp;&amp;(&quot;object&quot;==typeof a&amp;&amp;o(a,n),i.state=function(){return o(n,{})}),i}t&amp;&amp;t.exports?t.exports=a:n&amp;&amp;n.amd?n((function(){return a})):this.alea=a})(0,eo,!1);var to={exports:{}};!function(e){!function(e,t,n){function r(e){var t=this,n=&quot;&quot;;t.x=0,t.y=0,t.z=0,t.w=0,t.next=function(){var e=t.x^t.x&lt;&lt;11;return t.x=t.y,t.y=t.z,t.z=t.w,t.w^=t.w&gt;&gt;&gt;19^e^e&gt;&gt;&gt;8},e===(0|e)?t.x=e:n+=e;for(var r=0;r&lt;n.length+64;r++)t.x^=0|n.charCodeAt(r),t.next()}function o(e,t){return t.x=e.x,t.y=e.y,t.z=e.z,t.w=e.w,t}function a(e,t){var n=new r(e),a=t&amp;&amp;t.state,i=function(){return(n.next()&gt;&gt;&gt;0)/4294967296};return i.double=function(){do{var e=((n.next()&gt;&gt;&gt;11)+(n.next()&gt;&gt;&gt;0)/4294967296)/(1&lt;&lt;21)}while(0===e);return e},i.int32=n.next,i.quick=i,a&amp;&amp;(&quot;object&quot;==typeof a&amp;&amp;o(a,n),i.state=function(){return o(n,{})}),i}t&amp;&amp;t.exports?t.exports=a:n&amp;&amp;n.amd?n((function(){return a})):this.xor128=a}(0,e,!1)}(to);var no={exports:{}};!function(e){!function(e,t,n){function r(e){var t=this,n=&quot;&quot;;t.next=function(){var e=t.x^t.x&gt;&gt;&gt;2;return t.x=t.y,t.y=t.z,t.z=t.w,t.w=t.v,(t.d=t.d+362437|0)+(t.v=t.v^t.v&lt;&lt;4^e^e&lt;&lt;1)|0},t.x=0,t.y=0,t.z=0,t.w=0,t.v=0,e===(0|e)?t.x=e:n+=e;for(var r=0;r&lt;n.length+64;r++)t.x^=0|n.charCodeAt(r),r==n.length&amp;&amp;(t.d=t.x&lt;&lt;10^t.x&gt;&gt;&gt;4),t.next()}function o(e,t){return t.x=e.x,t.y=e.y,t.z=e.z,t.w=e.w,t.v=e.v,t.d=e.d,t}function a(e,t){var n=new r(e),a=t&amp;&amp;t.state,i=function(){return(n.next()&gt;&gt;&gt;0)/4294967296};return i.double=function(){do{var e=((n.next()&gt;&gt;&gt;11)+(n.next()&gt;&gt;&gt;0)/4294967296)/(1&lt;&lt;21)}while(0===e);return e},i.int32=n.next,i.quick=i,a&amp;&amp;(&quot;object&quot;==typeof a&amp;&amp;o(a,n),i.state=function(){return o(n,{})}),i}t&amp;&amp;t.exports?t.exports=a:n&amp;&amp;n.amd?n((function(){return a})):this.xorwow=a}(0,e,!1)}(no);var ro={exports:{}};!function(e){!function(e,t,n){function r(e){var t=this;t.next=function(){var e,n,r=t.x,o=t.i;return e=r[o],n=(e^=e&gt;&gt;&gt;7)^e&lt;&lt;24,n^=(e=r[o+1&amp;7])^e&gt;&gt;&gt;10,n^=(e=r[o+3&amp;7])^e&gt;&gt;&gt;3,n^=(e=r[o+4&amp;7])^e&lt;&lt;7,e=r[o+7&amp;7],n^=(e^=e&lt;&lt;13)^e&lt;&lt;9,r[o]=n,t.i=o+1&amp;7,n},function(e,t){var n,r=[];if(t===(0|t))r[0]=t;else for(t=&quot;&quot;+t,n=0;n&lt;t.length;++n)r[7&amp;n]=r[7&amp;n]&lt;&lt;15^t.charCodeAt(n)+r[n+1&amp;7]&lt;&lt;13;for(;r.length&lt;8;)r.push(0);for(n=0;n&lt;8&amp;&amp;0===r[n];++n);for(8==n?r[7]=-1:r[n],e.x=r,e.i=0,n=256;n&gt;0;--n)e.next()}(t,e)}function o(e,t){return t.x=e.x.slice(),t.i=e.i,t}function a(e,t){null==e&amp;&amp;(e=+new Date);var n=new r(e),a=t&amp;&amp;t.state,i=function(){return(n.next()&gt;&gt;&gt;0)/4294967296};return i.double=function(){do{var e=((n.next()&gt;&gt;&gt;11)+(n.next()&gt;&gt;&gt;0)/4294967296)/(1&lt;&lt;21)}while(0===e);return e},i.int32=n.next,i.quick=i,a&amp;&amp;(a.x&amp;&amp;o(a,n),i.state=function(){return o(n,{})}),i}t&amp;&amp;t.exports?t.exports=a:n&amp;&amp;n.amd?n((function(){return a})):this.xorshift7=a}(0,e,!1)}(ro);var oo={exports:{}};!function(e){!function(e,t,n){function r(e){var t=this;t.next=function(){var e,n,r=t.w,o=t.X,a=t.i;return t.w=r=r+1640531527|0,n=o[a+34&amp;127],e=o[a=a+1&amp;127],n^=n&lt;&lt;13,e^=e&lt;&lt;17,n^=n&gt;&gt;&gt;15,e^=e&gt;&gt;&gt;12,n=o[a]=n^e,t.i=a,n+(r^r&gt;&gt;&gt;16)|0},function(e,t){var n,r,o,a,i,s=[],l=128;for(t===(0|t)?(r=t,t=null):(t+=&quot;\\0&quot;,r=0,l=Math.max(l,t.length)),o=0,a=-32;a&lt;l;++a)t&amp;&amp;(r^=t.charCodeAt((a+32)%t.length)),0===a&amp;&amp;(i=r),r^=r&lt;&lt;10,r^=r&gt;&gt;&gt;15,r^=r&lt;&lt;4,r^=r&gt;&gt;&gt;13,a&gt;=0&amp;&amp;(i=i+1640531527|0,o=0==(n=s[127&amp;a]^=r+i)?o+1:0);for(o&gt;=128&amp;&amp;(s[127&amp;(t&amp;&amp;t.length||0)]=-1),o=127,a=512;a&gt;0;--a)r=s[o+34&amp;127],n=s[o=o+1&amp;127],r^=r&lt;&lt;13,n^=n&lt;&lt;17,r^=r&gt;&gt;&gt;15,n^=n&gt;&gt;&gt;12,s[o]=r^n;e.w=i,e.X=s,e.i=o}(t,e)}function o(e,t){return t.i=e.i,t.w=e.w,t.X=e.X.slice(),t}function a(e,t){null==e&amp;&amp;(e=+new Date);var n=new r(e),a=t&amp;&amp;t.state,i=function(){return(n.next()&gt;&gt;&gt;0)/4294967296};return i.double=function(){do{var e=((n.next()&gt;&gt;&gt;11)+(n.next()&gt;&gt;&gt;0)/4294967296)/(1&lt;&lt;21)}while(0===e);return e},i.int32=n.next,i.quick=i,a&amp;&amp;(a.X&amp;&amp;o(a,n),i.state=function(){return o(n,{})}),i}t&amp;&amp;t.exports?t.exports=a:n&amp;&amp;n.amd?n((function(){return a})):this.xor4096=a}(0,e,!1)}(oo);var ao={exports:{}};!function(e){!function(e,t,n){function r(e){var t=this,n=&quot;&quot;;t.next=function(){var e=t.b,n=t.c,r=t.d,o=t.a;return e=e&lt;&lt;25^e&gt;&gt;&gt;7^n,n=n-r|0,r=r&lt;&lt;24^r&gt;&gt;&gt;8^o,o=o-e|0,t.b=e=e&lt;&lt;20^e&gt;&gt;&gt;12^n,t.c=n=n-r|0,t.d=r&lt;&lt;16^n&gt;&gt;&gt;16^o,t.a=o-e|0},t.a=0,t.b=0,t.c=-1640531527,t.d=1367130551,e===Math.floor(e)?(t.a=e/4294967296|0,t.b=0|e):n+=e;for(var r=0;r&lt;n.length+20;r++)t.b^=0|n.charCodeAt(r),t.next()}function o(e,t){return t.a=e.a,t.b=e.b,t.c=e.c,t.d=e.d,t}function a(e,t){var n=new r(e),a=t&amp;&amp;t.state,i=function(){return(n.next()&gt;&gt;&gt;0)/4294967296};return i.double=function(){do{var e=((n.next()&gt;&gt;&gt;11)+(n.next()&gt;&gt;&gt;0)/4294967296)/(1&lt;&lt;21)}while(0===e);return e},i.int32=n.next,i.quick=i,a&amp;&amp;(&quot;object&quot;==typeof a&amp;&amp;o(a,n),i.state=function(){return o(n,{})}),i}t&amp;&amp;t.exports?t.exports=a:n&amp;&amp;n.amd?n((function(){return a})):this.tychei=a}(0,e,!1)}(ao);var io={exports:{}};!function(e){!function(t,n,r){var o,a=256,i=&quot;random&quot;,s=r.pow(a,6),l=r.pow(2,52),c=2*l,u=255;function d(e,u,d){var v=[],T=m(g((u=1==u?{entropy:!0}:u||{}).entropy?[e,h(n)]:null==e?function(){try{var e;return o&amp;&amp;(e=o.randomBytes)?e=e(a):(e=new Uint8Array(a),(t.crypto||t.msCrypto).getRandomValues(e)),h(e)}catch(e){var r=t.navigator,i=r&amp;&amp;r.plugins;return[+new Date,t,i,t.screen,h(n)]}}():e,3),v),x=new p(v),y=function(){for(var e=x.g(6),t=s,n=0;e&lt;l;)e=(e+n)*a,t*=a,n=x.g(1);for(;e&gt;=c;)e/=2,t/=2,n&gt;&gt;&gt;=1;return(e+n)/t};return y.int32=function(){return 0|x.g(4)},y.quick=function(){return x.g(4)/4294967296},y.double=y,m(h(x.S),n),(u.pass||d||function(e,t,n,o){return o&amp;&amp;(o.S&amp;&amp;f(o,x),e.state=function(){return f(x,{})}),n?(r[i]=e,t):e})(y,T,&quot;global&quot;in u?u.global:this==r,u.state)}function p(e){var t,n=e.length,r=this,o=0,i=r.i=r.j=0,s=r.S=[];for(n||(e=[n++]);o&lt;a;)s[o]=o++;for(o=0;o&lt;a;o++)s[o]=s[i=u&amp;i+e[o%n]+(t=s[o])],s[i]=t;(r.g=function(e){for(var t,n=0,o=r.i,i=r.j,s=r.S;e--;)t=s[o=u&amp;o+1],n=n*a+s[u&amp;(s[o]=s[i=u&amp;i+t])+(s[i]=t)];return r.i=o,r.j=i,n})(a)}function f(e,t){return t.i=e.i,t.j=e.j,t.S=e.S.slice(),t}function g(e,t){var n,r=[],o=typeof e;if(t&amp;&amp;&quot;object&quot;==o)for(n in e)try{r.push(g(e[n],t-1))}catch(e){}return r.length?r:&quot;string&quot;==o?e:e+&quot;\\0&quot;}function m(e,t){for(var n,r=e+&quot;&quot;,o=0;o&lt;r.length;)t[u&amp;o]=u&amp;(n^=19*t[u&amp;o])+r.charCodeAt(o++);return h(t)}function h(e){return String.fromCharCode.apply(0,e)}if(m(r.random(),n),e.exports){e.exports=d;try{o=require(&quot;crypto&quot;)}catch(e){}}else r[&quot;seed&quot;+i]=d}(&quot;undefined&quot;!=typeof self?self:Te,[],Math)}(io);var so=eo.exports,lo=to.exports,co=no.exports,uo=ro.exports,po=oo.exports,fo=ao.exports,go=io.exports;go.alea=so,go.xor128=lo,go.xorwow=co,go.xorshift7=uo,go.xor4096=po,go.tychei=fo;var mo=go;const ho=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],vo=[1,0,0,0,1,0,0,0,1],To=1e-12,{vtkErrorMacro:xo,vtkWarningMacro:yo}=sn;let bo=0;function Ao(e){return()=&gt;xo(`vtkMath::${e} - NOT IMPLEMENTED`)}function Co(e,t,n,r){let o;for(let a=0;a&lt;t;a++)o=e[n*t+a],e[n*t+a]=e[r*t+a],e[r*t+a]=o}function So(e,t,n,r){let o;for(let a=0;a&lt;t;a++)o=e[a*t+n],e[a*t+n]=e[a*t+r],e[a*t+r]=o}function Po(e=3){const t=Array(e);for(let n=0;n&lt;e;++n)t[n]=0;return t}function wo(e){return e/180*Math.PI}function Io(e){return 180*e/Math.PI}const{round:Oo,floor:Ro,ceil:Mo,min:Do,max:Eo}=Math;const Vo=Ao(&quot;ceilLog2&quot;),Lo=Ao(&quot;factorial&quot;);function Bo(e){let t=1;for(;t&lt;e;)t*=2;return t}function Fo(e){return e===Bo(e)}const No=Ao(&quot;gaussian&quot;);function ko(e,t,n){return n[0]=e[0]+t[0],n[1]=e[1]+t[1],n[2]=e[2]+t[2],n}function Go(e,t,n){return n[0]=e[0]-t[0],n[1]=e[1]-t[1],n[2]=e[2]-t[2],n}function Uo(e,t){return e[0]*=t,e[1]*=t,e[2]*=t,e}function _o(e,t){return e[0]*=t,e[1]*=t,e}function Ko(e,t,n,r){return r[0]=e[0]+t[0]*n,r[1]=e[1]+t[1]*n,r[2]=e[2]+t[2]*n,r}function zo(e,t){return e[0]*t[0]+e[1]*t[1]+e[2]*t[2]}function Wo(e,t,n){const r=e[1]*t[2]-e[2]*t[1],o=e[2]*t[0]-e[0]*t[2],a=e[0]*t[1]-e[1]*t[0];return n[0]=r,n[1]=o,n[2]=a,n}function Ho(e,t=3){switch(t){case 1:return Math.abs(e);case 2:return Math.sqrt(e[0]*e[0]+e[1]*e[1]);case 3:return Math.sqrt(e[0]*e[0]+e[1]*e[1]+e[2]*e[2]);default:{let n=0;for(let r=0;r&lt;t;r++)n+=e[r]*e[r];return Math.sqrt(n)}}}function jo(e){const t=Ho(e);return 0!==t&amp;&amp;(e[0]/=t,e[1]/=t,e[2]/=t),t}function Xo(e){const t=Ho(e,3);return 0!==t&amp;&amp;(e[0]/=t,e[1]/=t,e[2]/=t,e[3]/=t),t}function qo(e,t){return e[0]*t[0]+e[1]*t[1]}function Yo(e,t){return(e[0]-t[0])*(e[0]-t[0])+(e[1]-t[1])*(e[1]-t[1])+(e[2]-t[2])*(e[2]-t[2])}function Jo(e){return Math.sqrt(e[0]*e[0]+e[1]*e[1])}function Zo(e){const t=Jo(e);return 0!==t&amp;&amp;(e[0]/=t,e[1]/=t),t}function Qo(...e){return 2===e.length?e[0][0]*e[1][1]-e[1][0]*e[0][1]:4===e.length?e[0]*e[3]-e[1]*e[2]:Number.NaN}function $o(e,t,n){const r=e[0]*t[0]+e[1]*t[1]+e[2]*t[2],o=e[3]*t[0]+e[4]*t[1]+e[5]*t[2],a=e[6]*t[0]+e[7]*t[1]+e[8]*t[2];n[0]=r,n[1]=o,n[2]=a}function ea(e,t,n){const r=[...e],o=[...t];for(let e=0;e&lt;3;e++)n[e]=r[0]*o[e]+r[1]*o[e+3]+r[2]*o[e+6],n[e+3]=r[3]*o[e]+r[4]*o[e+3]+r[5]*o[e+6],n[e+6]=r[6]*o[e]+r[7]*o[e+3]+r[8]*o[e+6]}function ta(e,t){let n;n=e[3],t[3]=e[1],t[1]=n,n=e[6],t[6]=e[2],t[2]=n,n=e[7],t[7]=e[5],t[5]=n,t[0]=e[0],t[4]=e[4],t[8]=e[8]}function na(e){return e[0]*e[4]*e[8]+e[3]*e[7]*e[2]+e[6]*e[1]*e[5]-e[0]*e[7]*e[5]-e[3]*e[1]*e[8]-e[6]*e[4]*e[2]}function ra(e,t,n=1e-6){if(e.length!==t.length)return!1;return e.every((function(e,r){return Math.abs(e-t[r])&lt;=n}))}const oa=ra;function aa(e){for(let t=0;t&lt;3;t++)e[3*t]=e[3*t+1]=e[3*t+2]=0,e[3*t+t]=1}function ia(e,t){for(let n=0;n&lt;e;n++){for(let r=0;r&lt;e;r++)t[n*e+r]=0;t[n*e+n]=1}return t}function sa(e,t){const n=e[0]*e[0],r=e[0]*e[1],o=e[0]*e[2],a=e[0]*e[3],i=e[1]*e[1],s=e[2]*e[2],l=e[3]*e[3],c=e[1]*e[2],u=e[1]*e[3],d=e[2]*e[3],p=i+s+l;let f=1/(n+p);const g=(n-p)*f;f*=2,t[0]=i*f+g,t[3]=(c+a)*f,t[6]=(u-o)*f,t[1]=(c-a)*f,t[4]=s*f+g,t[7]=(d+r)*f,t[2]=(u+o)*f,t[5]=(d-r)*f,t[8]=l*f+g}function la(e,t=0){if(!`${e}`.includes(&quot;e&quot;))return+`${Math.round(`${e}e+${t}`)}e-${t}`;const n=`${e}`.split(&quot;e&quot;);let r=&quot;&quot;;return+n[1]+t&gt;0&amp;&amp;(r=&quot;+&quot;),+`${Math.round(`${+n[0]}e${r}${+n[1]+t}`)}e-${t}`}function ca(e,t=[0,0,0],n=0){return t[0]=la(e[0],n),t[1]=la(e[1],n),t[2]=la(e[2],n),t}function ua(e,t,n,r){let o,a,i,s,l,c,u,d,p,f,g,m,h,v,T,x;const y=Po(t),b=Po(t),A=(e,t,n)=&gt;{v=e[t],h=e[n],e[t]=v-m*(h+v*f),e[n]=h+m*(v-h*f)};for(ia(t,r),l=0;l&lt;t;l++)y[l]=n[l]=e[l+l*t],b[l]=0;for(o=0;o&lt;20;o++){for(g=0,l=0;l&lt;t-1;l++)for(s=l+1;s&lt;t;s++)g+=Math.abs(e[l*t+s]);if(0===g)break;for(u=o&lt;3?.2*g/(t*t):0,l=0;l&lt;t-1;l++)for(s=l+1;s&lt;t;s++)if(v=100*Math.abs(e[l*t+s]),o&gt;3&amp;&amp;Math.abs(n[l])+v===Math.abs(n[l])&amp;&amp;Math.abs(n[s])+v===Math.abs(n[s]))e[l*t+s]=0;else if(Math.abs(e[l*t+s])&gt;u){for(h=n[s]-n[l],Math.abs(h)+v===Math.abs(h)?p=e[l*t+s]/h:(d=.5*h/e[l*t+s],p=1/(Math.abs(d)+Math.sqrt(1+d*d)),d&lt;0&amp;&amp;(p=-p)),T=1/Math.sqrt(1+p*p),m=p*T,f=m/(1+T),h=p*e[l*t+s],b[l]-=h,b[s]+=h,n[l]-=h,n[s]+=h,e[l*t+s]=0,a=0;a&lt;=l-1;a++)A(e,a*t+l,a*t+s);for(a=l+1;a&lt;=s-1;a++)A(e,l*t+a,a*t+s);for(a=s+1;a&lt;t;a++)A(e,l*t+a,s*t+a);for(a=0;a&lt;t;a++)A(r,a*t+l,a*t+s)}for(l=0;l&lt;t;l++)y[l]+=b[l],n[l]=y[l],b[l]=0}if(o&gt;=20)return yo(&quot;vtkMath::Jacobi: Error extracting eigenfunctions&quot;),0;for(a=0;a&lt;t-1;a++){for(i=a,x=n[i],o=a+1;o&lt;t;o++)(n[o]&gt;=x||Math.abs(n[o]-x)&lt;To)&amp;&amp;(i=o,x=n[i]);i!==a&amp;&amp;(n[i]=n[a],n[a]=x,So(r,t,a,i))}const C=(t&gt;&gt;1)+(1&amp;t);for(c=0,o=0;o&lt;t*t;o++)r[o]&gt;=0&amp;&amp;c++;if(c&lt;C)for(o=0;o&lt;t;o++)r[o*t+a]*=-1;return 1}function da(e,t){const n=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0];n[0]=e[0]+e[4]+e[8],n[5]=e[0]-e[4]-e[8],n[10]=-e[0]+e[4]-e[8],n[15]=-e[0]-e[4]+e[8],n[1]=n[4]=e[7]-e[5],n[2]=n[8]=e[2]-e[6],n[3]=n[12]=e[3]-e[1],n[6]=n[9]=e[3]+e[1],n[7]=n[13]=e[2]+e[6],n[11]=n[14]=e[7]+e[5];const r=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0];ua([...n],4,[0,0,0,0],r),t[0]=r[0],t[1]=r[4],t[2]=r[8],t[3]=r[12]}function pa(e,t){for(let n=0;n&lt;9;n++)t[n]=e[n];const n=Po(3),r=Po(3);let o;for(let e=0;e&lt;3;e++){const r=Math.abs(t[3*e]),a=Math.abs(t[3*e+1]),i=Math.abs(t[3*e+2]);o=a&gt;r?a:r,o=i&gt;o?i:o,n[e]=1,0!==o&amp;&amp;(n[e]/=o)}const a=Math.abs(t[0])*n[0],i=Math.abs(t[3])*n[1],s=Math.abs(t[6])*n[2];r[0]=0,o=a,i&gt;=o&amp;&amp;(o=i,r[0]=1),s&gt;=o&amp;&amp;(r[0]=2),0!==r[0]&amp;&amp;(So(t,3,r[0],0),n[r[0]]=n[0]);const l=Math.abs(t[4])*n[1],c=Math.abs(t[7])*n[2];r[1]=1,o=l,c&gt;=o&amp;&amp;(r[1]=2,So(t,3,1,2)),r[2]=2;let u=0;if(na(t)&lt;0){u=1;for(let e=0;e&lt;9;e++)t[e]=-t[e]}const d=Po(4);if(da(t,d),sa(d,t),u)for(let e=0;e&lt;9;e++)t[e]=-t[e];1!==r[1]&amp;&amp;So(t,3,r[1],1),0!==r[0]&amp;&amp;So(t,3,r[0],0)}function fa(e,t,n){let r,o,a,i,s,l;if(ua([...e],3,t,n),t[0]!==t[1]||t[0]!==t[2]){for(ta(n,n),r=0;r&lt;3;r++)if(t[(r+1)%3]===t[(r+2)%3]){for(l=Math.abs(n[3*r]),i=0,o=1;o&lt;3;o++)l&lt;(s=Math.abs(n[3*r+o]))&amp;&amp;(l=s,i=o);i!==r&amp;&amp;(s=t[i],t[i]=t[r],t[r]=s,Co(n,3,r,i)),n[3*i+i]&lt;0&amp;&amp;(n[3*i]=-n[3*i],n[3*i+1]=-n[3*i+1],n[3*i+2]=-n[3*i+2]),o=(i+1)%3,a=(i+2)%3,n[3*o]=0,n[3*o+1]=0,n[3*o+2]=0,n[3*o+o]=1;const e=Wo([n[3*i],n[3*i+1],n[3*i+2]],[n[3*o],n[3*o+1],n[3*o+2]],[]);jo(e);const c=Wo(e,[n[3*i],n[3*i+1],n[3*i+2]],[]);for(let t=0;t&lt;3;t++)n[3*a+t]=e[t],n[3*o+t]=c[t];return void ta(n,n)}for(l=Math.abs(n[0]),i=0,r=1;r&lt;3;r++)l&lt;(s=Math.abs(n[3*r]))&amp;&amp;(l=s,i=r);if(0!==i){const e=t[i];t[i]=t[0],t[0]=e,Co(n,3,i,0)}if(Math.abs(n[4])&lt;Math.abs(n[7])){const e=t[2];t[2]=t[1],t[1]=e,Co(n,3,1,2)}for(r=0;r&lt;2;r++)n[3*r+r]&lt;0&amp;&amp;(n[3*r]=-n[3*r],n[3*r+1]=-n[3*r+1],n[3*r+2]=-n[3*r+2]);na(n)&lt;0&amp;&amp;(n[6]=-n[6],n[7]=-n[7],n[8]=-n[8]),ta(n,n)}else aa(n)}function ga(e,t,n){let r,o,a,i,s,l,c,u=0;const d=Po(n);for(r=0;r&lt;n;r++){for(i=0,o=0;o&lt;n;o++)(c=Math.abs(e[r*n+o]))&gt;i&amp;&amp;(i=c);if(0===i)return yo(&quot;Unable to factor linear system&quot;),0;d[r]=1/i}for(o=0;o&lt;n;o++){for(r=0;r&lt;o;r++){for(s=e[r*n+o],a=0;a&lt;r;a++)s-=e[r*n+a]*e[a*n+o];e[r*n+o]=s}for(i=0,r=o;r&lt;n;r++){for(s=e[r*n+o],a=0;a&lt;o;a++)s-=e[r*n+a]*e[a*n+o];e[r*n+o]=s,(l=d[r]*Math.abs(s))&gt;=i&amp;&amp;(i=l,u=r)}if(o!==u){for(a=0;a&lt;n;a++)l=e[u*n+a],e[u*n+a]=e[o*n+a],e[o*n+a]=l;d[u]=d[o]}if(t[o]=u,Math.abs(e[o*n+o])&lt;=To)return yo(&quot;Unable to factor linear system&quot;),0;if(o!==n-1)for(l=1/e[o*n+o],r=o+1;r&lt;n;r++)e[r*n+o]*=l}return 1}function ma(e,t,n,r){let o,a,i,s,l;for(i=-1,o=0;o&lt;r;o++){if(s=t[o],l=n[s],n[s]=n[o],i&gt;=0)for(a=i;a&lt;=o-1;a++)l-=e[o*r+a]*n[a];else 0!==l&amp;&amp;(i=o);n[o]=l}for(o=r-1;o&gt;=0;o--){for(l=n[o],a=o+1;a&lt;r;a++)l-=e[o*r+a]*n[a];n[o]=l/e[o*r+o]}}function ha(e,t,n){if(2===n){const n=Po(2),r=Qo(e[0],e[1],e[2],e[3]);return 0===r?0:(n[0]=(e[3]*t[0]-e[1]*t[1])/r,n[1]=(-e[2]*t[0]+e[0]*t[1])/r,t[0]=n[0],t[1]=n[1],1)}if(1===n)return 0===e[0]?0:(t[0]/=e[0],1);const r=Po(n);return 0===ga(e,r,n)?0:(ma(e,r,t,n),1)}function va(e,t,n,r=null,o=null){const a=r||Po(n),i=o||Po(n);if(0===ga(e,a,n))return null;for(let r=0;r&lt;n;r++){for(let e=0;e&lt;n;e++)i[e]=0;i[r]=1,ma(e,a,i,n);for(let e=0;e&lt;n;e++)t[e*n+r]=i[e]}return t}function Ta(e,t,n,r){if(e&lt;n)return yo(&quot;Insufficient number of samples. Underdetermined.&quot;),0;let o,a,i;const s=Po(n*n),l=Po(n),c=Po(n*n);for(i=0;i&lt;e;i++)for(o=0;o&lt;n;o++)for(a=o;a&lt;n;a++)s[o*n+a]+=t[i*n+o]*t[i*n+a];for(o=0;o&lt;n;o++)for(a=0;a&lt;o;a++)s[o*n+a]=s[a*n+o];for(ua(s,n,l,c),o=0;o&lt;n;o++)r[o]=c[o*n+n-1];return 1}function xa(e,t){let n,r;const[o,a,i]=e,s=1/6;let l=o,c=o;a&gt;l?l=a:a&lt;c&amp;&amp;(c=a),i&gt;l?l=i:i&lt;c&amp;&amp;(c=i);const u=l;r=u&gt;0?(l-c)/l:0,r&gt;0?(n=o===l?s*(a-i)/(l-c):a===l?1/3+s*(i-o)/(l-c):2/3+s*(o-a)/(l-c),n&lt;0&amp;&amp;(n+=1)):n=0,t[0]=n,t[1]=r,t[2]=u}function ya(e,t){const[n,r,o]=e,a=1/3,i=1/6,s=2/3,l=5/6;let c,u,d;n&gt;i&amp;&amp;n&lt;=a?(u=1,c=(a-n)/i,d=0):n&gt;a&amp;&amp;n&lt;=.5?(u=1,d=(n-a)/i,c=0):n&gt;.5&amp;&amp;n&lt;=s?(d=1,u=(s-n)/i,c=0):n&gt;s&amp;&amp;n&lt;=l?(d=1,c=(n-s)/i,u=0):n&gt;l&amp;&amp;n&lt;=1?(c=1,d=(1-n)/i,u=0):(c=1,u=n/i,d=0),c=r*c+(1-r),u=r*u+(1-r),d=r*d+(1-r),c*=o,u*=o,d*=o,t[0]=c,t[1]=u,t[2]=d}function ba(e,t){const[n,r,o]=e;let a=(n+16)/116,i=r/500+a,s=a-o/200;a**3&gt;.008856?a**=3:a=(a-16/116)/7.787,i**3&gt;.008856?i**=3:i=(i-16/116)/7.787,s**3&gt;.008856?s**=3:s=(s-16/116)/7.787;t[0]=.9505*i,t[1]=1*a,t[2]=1.089*s}function Aa(e,t){const[n,r,o]=e;let a=n/.9505,i=r/1,s=o/1.089;a&gt;.008856?a**=1/3:a=7.787*a+16/116,i&gt;.008856?i**=1/3:i=7.787*i+16/116,s&gt;.008856?s**=1/3:s=7.787*s+16/116,t[0]=116*i-16,t[1]=500*(a-i),t[2]=200*(i-s)}function Ca(e,t){const[n,r,o]=e;let a=3.2406*n+-1.5372*r+-.4986*o,i=-.9689*n+1.8758*r+.0415*o,s=.0557*n+-.204*r+1.057*o;a&gt;.0031308?a=1.055*a**(1/2.4)-.055:a*=12.92,i&gt;.0031308?i=1.055*i**(1/2.4)-.055:i*=12.92,s&gt;.0031308?s=1.055*s**(1/2.4)-.055:s*=12.92;let l=a;l&lt;i&amp;&amp;(l=i),l&lt;s&amp;&amp;(l=s),l&gt;1&amp;&amp;(a/=l,i/=l,s/=l),a&lt;0&amp;&amp;(a=0),i&lt;0&amp;&amp;(i=0),s&lt;0&amp;&amp;(s=0),t[0]=a,t[1]=i,t[2]=s}function Sa(e,t){let[n,r,o]=e;n&gt;.04045?n=((n+.055)/1.055)**2.4:n/=12.92,r&gt;.04045?r=((r+.055)/1.055)**2.4:r/=12.92,o&gt;.04045?o=((o+.055)/1.055)**2.4:o/=12.92,t[0]=.4124*n+.3576*r+.1805*o,t[1]=.2126*n+.7152*r+.0722*o,t[2]=.0193*n+.1192*r+.9505*o}function Pa(e,t){const n=[0,0,0];Sa(e,n),Aa(n,t)}function wa(e,t){const n=[0,0,0];ba(e,n),Ca(n,t)}function Ia(e){return e[0]=1,e[1]=-1,e[2]=1,e[3]=-1,e[4]=1,e[5]=-1,e}function Oa(e){return!(e[1]-e[0]&lt;0)}function Ra(e,t,n){return e&lt;t?t:e&gt;n?n:e}function Ma(e,t,n,r=[0,0,0]){return r[0]=Ra(e[0],t[0],n[0]),r[1]=Ra(e[1],t[1],n[1]),r[2]=Ra(e[2],t[2],n[2]),r}const Da=Ao(&quot;GetScalarTypeFittingRange&quot;),Ea=Ao(&quot;GetAdjustedScalarRange&quot;);const Va=1/0,La=-1/0,Ba=e=&gt;!Number.isFinite(e),{isFinite:Fa,isNaN:Na}=Number,ka=Na;function Ga(){return[].concat([Number.MAX_VALUE,-Number.MAX_VALUE,Number.MAX_VALUE,-Number.MAX_VALUE,Number.MAX_VALUE,-Number.MAX_VALUE])}function Ua(e,t=3){const n=new Array(t),r=new Array(t);for(let e=0;e&lt;t;++e)n[e]=e,r[e]=e;for(let o=t-1;o&gt;0;o--){let a=-1/0,i=0,s=0;for(let l=0;l&lt;=o;++l){const c=n[l];for(let n=0;n&lt;=o;++n){const o=r[n],u=Math.abs(e[c+t*o]);u&gt;a&amp;&amp;(a=u,i=l,s=n)}}[n[o],n[i]]=[n[i],n[o]],[r[o],r[s]]=[r[s],r[o]]}const o=new Array(t*t).fill(0);for(let a=0;a&lt;t;++a){const i=n[a]+t*r[a];o[i]=e[i]&lt;0?-1:1}return o}function _a(e){const t=Math.floor(255*e);return t&gt;15?t.toString(16):`0${t.toString(16)}`}function Ka(e){return Math.round(255*e)}var za={Pi:()=&gt;Math.PI,ldexp:function(e,t){return t&gt;1023?e*2**1023*2**(t-1023):t&lt;-1074?5e-324*e*2**(t+1074):e*2**t},radiansFromDegrees:wo,degreesFromRadians:Io,round:Oo,floor:Ro,ceil:Mo,ceilLog2:Vo,min:Do,max:Eo,arrayMin:function(e,t=0,n=1){let r=1/0;for(let o=t,a=e.length;o&lt;a;o+=n)e[o]&lt;r&amp;&amp;(r=e[o]);return r},arrayMax:function(e,t=0,n=1){let r=-1/0;for(let o=t,a=e.length;o&lt;a;o+=n)r&lt;e[o]&amp;&amp;(r=e[o]);return r},arrayRange:function(e,t=0,n=1){let r=1/0,o=-1/0;for(let a=t,i=e.length;a&lt;i;a+=n)e[a]&lt;r&amp;&amp;(r=e[a]),o&lt;e[a]&amp;&amp;(o=e[a]);return[r,o]},isPowerOfTwo:Fo,nearestPowerOfTwo:Bo,factorial:Lo,binomial:function(e,t){let n=1;for(let r=1;r&lt;=t;++r)n*=(e-r+1)/r;return Math.floor(n)},beginCombination:function(e,t){if(e&lt;t)return 0;const n=Po(t);for(let e=0;e&lt;t;++e)n[e]=e;return n},nextCombination:function(e,t,n){let r=0;for(let o=t-1;o&gt;=0;--o)if(n[o]&lt;e-t+o){let e=n[o]+1;for(;o&lt;t;)n[o++]=e++;r=1;break}return r},randomSeed:function(e){mo(`${e}`,{global:!0}),bo=e},getSeed:function(){return bo},random:function(e=0,t=1){return e+(t-e)*Math.random()},gaussian:No,add:ko,subtract:Go,multiplyScalar:Uo,multiplyScalar2D:_o,multiplyAccumulate:Ko,multiplyAccumulate2D:function(e,t,n,r){return r[0]=e[0]+t[0]*n,r[1]=e[1]+t[1]*n,r},dot:zo,outer:function(e,t,n){n[0]=e[0]*t[0],n[1]=e[0]*t[1],n[2]=e[0]*t[2],n[3]=e[1]*t[0],n[4]=e[1]*t[1],n[5]=e[1]*t[2],n[6]=e[2]*t[0],n[7]=e[2]*t[1],n[8]=e[2]*t[2]},cross:Wo,norm:Ho,normalize:jo,perpendiculars:function(e,t,n,r){const o=e[0]*e[0],a=e[1]*e[1],i=e[2]*e[2],s=Math.sqrt(o+a+i);let l,c,u;o&gt;a&amp;&amp;o&gt;i?(l=0,c=1,u=2):a&gt;i?(l=1,c=2,u=0):(l=2,c=0,u=1);const d=e[l]/s,p=e[c]/s,f=e[u]/s,g=Math.sqrt(d*d+f*f);if(0!==r){const e=Math.sin(r),o=Math.cos(r);t&amp;&amp;(t[l]=(f*o-d*p*e)/g,t[c]=e*g,t[u]=(-d*o-p*f*e)/g),n&amp;&amp;(n[l]=(-f*e-d*p*o)/g,n[c]=o*g,n[u]=(d*e-p*f*o)/g)}else t&amp;&amp;(t[l]=f/g,t[c]=0,t[u]=-d/g),n&amp;&amp;(n[l]=-d*p/g,n[c]=g,n[u]=-p*f/g)},projectVector:function(e,t,n){const r=zo(t,t);if(0===r)return n[0]=0,n[1]=0,n[2]=0,!1;const o=zo(e,t)/r;for(let e=0;e&lt;3;e++)n[e]=t[e];return Uo(n,o),!0},projectVector2D:function(e,t,n){const r=qo(t,t);if(0===r)return n[0]=0,n[1]=0,!1;const o=qo(e,t)/r;for(let e=0;e&lt;2;e++)n[e]=t[e];return _o(n,o),!0},distance2BetweenPoints:Yo,angleBetweenVectors:function(e,t){const n=[0,0,0];return Wo(e,t,n),Math.atan2(Ho(n),zo(e,t))},gaussianAmplitude:function(e,t,n){const r=Math.abs(e-n);return 1/Math.sqrt(2*Math.PI*t)*Math.exp(-(r**2)/(2*t))},gaussianWeight:function(e,t,n){const r=Math.abs(e-n);return Math.exp(-(r**2)/(2*t))},dot2D:qo,outer2D:function(e,t,n){n[0]=e[0]*t[0],n[1]=e[0]*t[1],n[2]=e[1]*t[0],n[3]=e[1]*t[1]},norm2D:Jo,normalize2D:Zo,determinant2x2:Qo,LUFactor3x3:function(e,t){let n,r,o;const a=[0,0,0];for(let t=0;t&lt;3;t++)o=Math.abs(e[3*t]),(r=Math.abs(e[3*t+1]))&gt;o&amp;&amp;(o=r),(r=Math.abs(e[3*t+2]))&gt;o&amp;&amp;(o=r),a[t]=1/o;o=a[0]*Math.abs(e[0]),n=0,(r=a[1]*Math.abs(e[3]))&gt;=o&amp;&amp;(o=r,n=1),(r=a[2]*Math.abs(e[6]))&gt;=o&amp;&amp;(n=2),0!==n&amp;&amp;(Co(e,3,n,0),a[n]=a[0]),t[0]=n,e[3]/=e[0],e[6]/=e[0],e[4]-=e[3]*e[1],e[7]-=e[6]*e[1],o=a[1]*Math.abs(e[4]),n=1,(r=a[2]*Math.abs(e[7]))&gt;=o&amp;&amp;(n=2,Co(e,3,1,2),a[2]=a[1]),t[1]=n,e[7]/=e[4],e[5]-=e[3]*e[2],e[8]-=e[6]*e[2]+e[7]*e[5],t[2]=2},LUSolve3x3:function(e,t,n){let r=n[t[0]];n[t[0]]=n[0],n[0]=r,r=n[t[1]],n[t[1]]=n[1],n[1]=r-e[3]*n[0],r=n[t[2]],n[t[2]]=n[2],n[2]=r-e[6]*n[0]-e[7]*n[1],n[2]/=e[8],n[1]=(n[1]-e[5]*n[2])/e[4],n[0]=(n[0]-e[1]*n[1]-e[2]*n[2])/e[0]},linearSolve3x3:function(e,t,n){const r=e[0],o=e[1],a=e[2],i=e[3],s=e[4],l=e[5],c=e[6],u=e[7],d=e[8],p=+Qo(s,u,l,d),f=-Qo(i,c,l,d),g=+Qo(i,c,s,u),m=-Qo(o,u,a,d),h=+Qo(r,c,a,d),v=-Qo(r,c,o,u),T=+Qo(o,s,a,l),x=-Qo(r,i,a,l),y=+Qo(r,i,o,s),b=r*p+o*f+a*g,A=p*t[0]+m*t[1]+T*t[2],C=f*t[0]+h*t[1]+x*t[2],S=g*t[0]+v*t[1]+y*t[2];n[0]=A/b,n[1]=C/b,n[2]=S/b},multiply3x3_vect3:$o,multiply3x3_mat3:ea,multiplyMatrix:function(e,t,n,r,o,a,i){r!==o&amp;&amp;xo(&quot;Number of columns of A must match number of rows of B.&quot;);const s=[...e],l=[...t];for(let e=0;e&lt;n;e++)for(let t=0;t&lt;a;t++){i[e*a+t]=0;for(let n=0;n&lt;r;n++)i[e*a+t]+=s[e*r+n]*l[t+a*n]}},transpose3x3:ta,invert3x3:function(e,t){const n=e[0],r=e[1],o=e[2],a=e[3],i=e[4],s=e[5],l=e[6],c=e[7],u=e[8],d=+Qo(i,c,s,u),p=-Qo(a,l,s,u),f=+Qo(a,l,i,c),g=-Qo(r,c,o,u),m=+Qo(n,l,o,u),h=-Qo(n,l,r,c),v=+Qo(r,i,o,s),T=-Qo(n,a,o,s),x=+Qo(n,a,r,i),y=n*d+r*p+o*f;0===y&amp;&amp;yo(&quot;Matrix has 0 determinant&quot;),t[0]=d/y,t[3]=p/y,t[6]=f/y,t[1]=g/y,t[4]=m/y,t[7]=h/y,t[2]=v/y,t[5]=T/y,t[8]=x/y},identity3x3:aa,identity:ia,isIdentity:function(e,t=1e-6){return oa(e,ho,t)},isIdentity3x3:function(e,t=1e-6){return oa(e,vo,t)},determinant3x3:na,quaternionToMatrix3x3:sa,areEquals:ra,areMatricesEqual:oa,roundNumber:la,roundVector:ca,matrix3x3ToQuaternion:da,multiplyQuaternion:function(e,t,n){const r=e[0]*t[0],o=e[0]*t[1],a=e[0]*t[2],i=e[0]*t[3],s=e[1]*t[0],l=e[1]*t[1],c=e[1]*t[2],u=e[1]*t[3],d=e[2]*t[0],p=e[2]*t[1],f=e[2]*t[2],g=e[2]*t[3],m=e[3]*t[0],h=e[3]*t[1],v=e[3]*t[2],T=e[3]*t[3];n[0]=r-l-f-T,n[1]=o+s+g-v,n[2]=a-u+d+h,n[3]=i+c-p+m},orthogonalize3x3:pa,diagonalize3x3:fa,singularValueDecomposition3x3:function(e,t,n,r){let o;const a=[...e],i=na(a);if(i&lt;0)for(o=0;o&lt;9;o++)a[o]=-a[o];pa(a,t),ta(a,a),ea(a,t,r),fa(r,n,r),ea(t,r,t),ta(r,r),i&lt;0&amp;&amp;(n[0]=-n[0],n[1]=-n[1],n[2]=-n[2])},solveLinearSystem:ha,invertMatrix:va,luFactorLinearSystem:ga,luSolveLinearSystem:ma,estimateMatrixCondition:function(e,t){let n=+Number.MAX_VALUE,r=-Number.MAX_VALUE;for(let n=0;n&lt;t;n++)for(let o=n;o&lt;t;o++)Math.abs(e[n*t+o])&gt;r&amp;&amp;(r=Math.abs(e[n*t+o]));for(let r=0;r&lt;t;r++)Math.abs(e[r*t+r])&lt;n&amp;&amp;(n=Math.abs(e[r*t+r]));return 0===n?Number.MAX_VALUE:r/n},jacobi:function(e,t,n){return ua(e,3,t,n)},jacobiN:ua,solveHomogeneousLeastSquares:Ta,solveLeastSquares:function(e,t,n,r,o,a,i=!0){if(e&lt;n||e&lt;o)return yo(&quot;Insufficient number of samples. Underdetermined.&quot;),0;const s=Po(o);let l,c,u,d,p=1,f=0,g=0;if(i){for(u=0;u&lt;o;u++)s[u]=1;for(c=0;c&lt;e;c++)for(u=0;u&lt;o;u++)Math.abs(r[c*o+u])&gt;To&amp;&amp;(p=0,s[u]=0);if(p&amp;&amp;1===o)return yo(&quot;Detected homogeneous system (Y=0), calling SolveHomogeneousLeastSquares()&quot;),Ta(e,t,n,a);if(p)g=1;else for(u=0;u&lt;o;u++)s[u]&amp;&amp;(g=1)}g&amp;&amp;(l=Po(n),f=Ta(e,t,n,l));const m=Po(n*n),h=Po(n*n),v=Po(n*o);for(d=0;d&lt;e;d++)for(c=0;c&lt;n;c++){for(u=c;u&lt;n;u++)m[c*n+u]+=t[d*n+c]*t[d*n+u];for(u=0;u&lt;o;u++)v[c*o+u]+=t[d*n+c]*r[d*o+u]}for(c=0;c&lt;n;c++)for(u=0;u&lt;c;u++)m[c*n+u]=m[u*n+c];const T=va(m,h,n);if(T)for(c=0;c&lt;n;c++)for(u=0;u&lt;o;u++)for(a[c*o+u]=0,d=0;d&lt;n;d++)a[c*o+u]+=h[c*n+d]*v[d*o+u];if(g)for(u=0;u&lt;o;u++)if(s[u])for(c=0;c&lt;n;c++)a[c*o+u]=l[c*o];return g?f&amp;&amp;T:T},hex2float:function(e,t=[0,.5,1]){switch(e.length){case 3:return t[0]=17*parseInt(e[0],16)/255,t[1]=17*parseInt(e[1],16)/255,t[2]=17*parseInt(e[2],16)/255,t;case 4:return t[0]=17*parseInt(e[1],16)/255,t[1]=17*parseInt(e[2],16)/255,t[2]=17*parseInt(e[3],16)/255,t;case 6:return t[0]=parseInt(e.substr(0,2),16)/255,t[1]=parseInt(e.substr(2,2),16)/255,t[2]=parseInt(e.substr(4,2),16)/255,t;case 7:return t[0]=parseInt(e.substr(1,2),16)/255,t[1]=parseInt(e.substr(3,2),16)/255,t[2]=parseInt(e.substr(5,2),16)/255,t;case 9:return t[0]=parseInt(e.substr(1,2),16)/255,t[1]=parseInt(e.substr(3,2),16)/255,t[2]=parseInt(e.substr(5,2),16)/255,t[3]=parseInt(e.substr(7,2),16)/255,t;default:return t}},rgb2hsv:xa,hsv2rgb:ya,lab2xyz:ba,xyz2lab:Aa,xyz2rgb:Ca,rgb2xyz:Sa,rgb2lab:Pa,lab2rgb:wa,uninitializeBounds:Ia,areBoundsInitialized:Oa,computeBoundsFromPoints:function(e,t,n){return n[0]=Math.min(e[0],t[0]),n[1]=Math.max(e[0],t[0]),n[2]=Math.min(e[1],t[1]),n[3]=Math.max(e[1],t[1]),n[4]=Math.min(e[2],t[2]),n[5]=Math.max(e[2],t[2]),n},clampValue:Ra,clampVector:Ma,clampAndNormalizeValue:function(e,t){let n=0;return t[0]!==t[1]&amp;&amp;(n=e&lt;t[0]?t[0]:e&gt;t[1]?t[1]:e,n=(n-t[0])/(t[1]-t[0])),n},getScalarTypeFittingRange:Da,getAdjustedScalarRange:Ea,extentIsWithinOtherExtent:function(e,t){if(!e||!t)return 0;for(let n=0;n&lt;6;n+=2)if(e[n]&lt;t[n]||e[n]&gt;t[n+1]||e[n+1]&lt;t[n]||e[n+1]&gt;t[n+1])return 0;return 1},boundsIsWithinOtherBounds:function(e,t,n){if(!e||!t)return 0;for(let r=0;r&lt;6;r+=2)if(e[r]+n[r/2]&lt;t[r]||e[r]-n[r/2]&gt;t[r+1]||e[r+1]+n[r/2]&lt;t[r]||e[r+1]-n[r/2]&gt;t[r+1])return 0;return 1},pointIsWithinBounds:function(e,t,n){if(!e||!t||!n)return 0;for(let r=0;r&lt;3;r++)if(e[r]+n[r]&lt;t[2*r]||e[r]-n[r]&gt;t[2*r+1])return 0;return 1},solve3PointCircle:function(e,t,n,r){const o=Po(3),a=Po(3),i=Po(3),s=Po(3),l=Po(3),c=Po(3);for(let r=0;r&lt;3;++r)o[r]=e[r]-t[r],a[r]=t[r]-n[r],i[r]=n[r]-e[r],s[r]=-o[r],l[r]=-a[r],c[r]=-i[r];const u=Ho(s),d=Ho(l),p=Ho(i),f=Po(3);Wo(o,a,f);const g=Ho(f),m=u*d*p/(2*g),h=2*g*g,v=d*d*zo(o,c)/h,T=p*p*zo(s,a)/h,x=u*u*zo(i,l)/h;for(let o=0;o&lt;3;++o)r[o]=v*e[o]+T*t[o]+x*n[o];return m},inf:Va,negInf:La,isInf:Ba,isNan:Na,isNaN:Na,isFinite:Fa,createUninitializedBounds:Ga,getMajorAxisIndex:function(e){let t=-1,n=-1;for(let r=0;r&lt;e.length;r++){const o=Math.abs(e[r]);o&gt;t&amp;&amp;(n=r,t=o)}return n},getMinorAxisIndex:function(e){let t=1/0,n=-1;for(let r=0;r&lt;e.length;r++){const o=Math.abs(e[r]);o&lt;t&amp;&amp;(n=r,t=o)}return n},getSparseOrthogonalMatrix:Ua,floatToHex2:_a,floatRGB2HexCode:function(e,t=&quot;#&quot;){return`${t}${e.map(_a).join(&quot;&quot;)}`},float2CssRGBA:function(e){return 3===e.length?`rgb(${e.map(Ka).join(&quot;, &quot;)})`:`rgba(${Ka(e[0]||0)}, ${Ka(e[1]||0)}, ${Ka(e[2]||0)}, ${e[3]||0})`}};const Wa={};function Ha(e,t,n={}){Object.assign(t,Wa,n),sn.obj(e,t),sn.setGet(e,t,[&quot;transform&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkImplicitFunction&quot;),e.functionValue=n=&gt;{if(!t.transform)return e.evaluateFunction(n);const r=[];return t.transform.transformPoint(n,r),e.evaluateFunction(r)},e.evaluateFunction=e=&gt;{sn.vtkErrorMacro(&quot;not implemented&quot;)}}(e,t)}var ja={newInstance:sn.newInstance(Ha,&quot;vtkImplicitFunction&quot;),extend:Ha};const Xa=1e-6,qa=&quot;coincide&quot;,Ya=&quot;disjoint&quot;;function Ja(e,t,n){const r=n[0]*(e[0]-t[0])+n[1]*(e[1]-t[1])+n[2]*(e[2]-t[2]);return Math.abs(r)}function Za(e,t,n,r){const o=[];Go(e,t,o);const a=zo(n,o);r[0]=e[0]-a*n[0],r[1]=e[1]-a*n[1],r[2]=e[2]-a*n[2]}function Qa(e,t,n){const r=zo(e,t);let o=zo(t,t);return 0===o&amp;&amp;(o=1),n[0]=e[0]-r*t[0]/o,n[1]=e[1]-r*t[1]/o,n[2]=e[2]-r*t[2]/o,n}function $a(e,t,n,r){const o=[];Go(e,t,o);const a=zo(n,o),i=zo(n,n);0!==i?(r[0]=e[0]-a*n[0]/i,r[1]=e[1]-a*n[1]/i,r[2]=e[2]-a*n[2]/i):(r[0]=e[0],r[1]=e[1],r[2]=e[2])}function ei(e,t,n,r){const o={intersection:!1,betweenPoints:!1,t:Number.MAX_VALUE,x:[]},a=[],i=[];Go(t,e,a),Go(n,e,i);const s=zo(r,i),l=zo(r,a);let c,u;return c=l&lt;0?-l:l,u=s&lt;0?-s*Xa:s*Xa,c&lt;=u||(o.t=s/l,o.x[0]=e[0]+o.t*a[0],o.x[1]=e[1]+o.t*a[1],o.x[2]=e[2]+o.t*a[2],o.intersection=!0,o.betweenPoints=o.t&gt;=0&amp;&amp;o.t&lt;=1),o}function ti(e,t,n,r){const o={intersection:!1,l0:[],l1:[],error:null},a=[];Wo(t,r,a);const i=a.map((e=&gt;Math.abs(e)));if(i[0]+i[1]+i[2]&lt;Xa){const r=[];return Go(e,n,r),0===zo(t,r)?o.error=qa:o.error=Ya,o}let s;s=i[0]&gt;i[1]&amp;&amp;i[0]&gt;i[2]?&quot;x&quot;:i[1]&gt;i[2]?&quot;y&quot;:&quot;z&quot;;const l=[],c=-zo(t,e),u=-zo(r,n);switch(s){case&quot;x&quot;:l[0]=0,l[1]=(u*t[2]-c*r[2])/a[0],l[2]=(c*r[1]-u*t[1])/a[0];break;case&quot;y&quot;:l[0]=(c*r[2]-u*t[2])/a[1],l[1]=0,l[2]=(u*t[0]-c*r[0])/a[1];break;case&quot;z&quot;:l[0]=(u*t[1]-c*r[1])/a[2],l[1]=(c*r[0]-u*t[0])/a[2],l[2]=0}return o.l0=l,ko(l,a,o.l1),o.intersection=!0,o}const ni={evaluate:function(e,t,n){return e[0]*(n[0]-t[0])+e[1]*(n[1]-t[1])+e[2]*(n[2]-t[2])},distanceToPlane:Ja,projectPoint:Za,projectVector:Qa,generalizedProjectPoint:$a,intersectWithLine:ei,intersectWithPlane:ti,DISJOINT:Ya,COINCIDE:qa};const ri={normal:[0,0,1],origin:[0,0,0]};function oi(e,t,n={}){Object.assign(t,ri,n),ja.extend(e,t,n),sn.setGetArray(e,t,[&quot;normal&quot;,&quot;origin&quot;],3),function(e,t){t.classHierarchy.push(&quot;vtkPlane&quot;),e.distanceToPlane=e=&gt;Ja(e,t.origin,t.normal),e.projectPoint=(e,n)=&gt;{Za(e,t.origin,t.normal,n)},e.projectVector=(e,n)=&gt;Qa(e,t.normal,n),e.push=e=&gt;{if(0!==e)for(let n=0;n&lt;3;n++)t.origin[n]+=e*t.normal[n]},e.generalizedProjectPoint=(e,n)=&gt;{$a(e,t.origin,t.normal,n)},e.evaluateFunction=(e,n,r)=&gt;Array.isArray(e)?t.normal[0]*(e[0]-t.origin[0])+t.normal[1]*(e[1]-t.origin[1])+t.normal[2]*(e[2]-t.origin[2]):t.normal[0]*(e-t.origin[0])+t.normal[1]*(n-t.origin[1])+t.normal[2]*(r-t.origin[2]),e.evaluateGradient=e=&gt;[t.normal[0],t.normal[1],t.normal[2]],e.intersectWithLine=(e,n)=&gt;ei(e,n,t.origin,t.normal),e.intersectWithPlane=(e,n)=&gt;ti(e,n,t.origin,t.normal)}(e,t)}var ai={newInstance:sn.newInstance(oi,&quot;vtkPlane&quot;),extend:oi,...ni};const ii=[Number.MAX_VALUE,-Number.MAX_VALUE,Number.MAX_VALUE,-Number.MAX_VALUE,Number.MAX_VALUE,-Number.MAX_VALUE];function si(e,t){return e[0]===t[0]&amp;&amp;e[1]===t[1]&amp;&amp;e[2]===t[2]&amp;&amp;e[3]===t[3]&amp;&amp;e[4]===t[4]&amp;&amp;e[5]===t[5]}function li(e){return e?.length&gt;=6&amp;&amp;e[0]&lt;=e[1]&amp;&amp;e[2]&lt;=e[3]&amp;&amp;e[4]&lt;=e[5]}function ci(e,t){return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e}function ui(e){return ci(e,ii)}function di(e,t,n,r){const[o,a,i,s,l,c]=e;return&quot;number&quot;==typeof t?(e[0]=o&lt;t?o:t,e[1]=a&gt;t?a:t,e[2]=i&lt;n?i:n,e[3]=s&gt;n?s:n,e[4]=l&lt;r?l:r,e[5]=c&gt;r?c:r):(e[0]=o&lt;t[0]?o:t[0],e[1]=a&gt;t[0]?a:t[0],e[2]=i&lt;t[1]?i:t[1],e[3]=s&gt;t[1]?s:t[1],e[4]=l&lt;t[2]?l:t[2],e[5]=c&gt;t[2]?c:t[2]),e}function pi(e,t){if(0===t.length)return e;if(Array.isArray(t[0]))for(let n=0;n&lt;t.length;++n)di(e,...t[n]);else for(let n=0;n&lt;t.length;n+=3)di(e,...t.slice(n,n+3));return e}function fi(e,t,n,r,o,a,i){const[s,l,c,u,d,p]=e;return void 0===i?(e[0]=Math.min(t[0],s),e[1]=Math.max(t[1],l),e[2]=Math.min(t[2],c),e[3]=Math.max(t[3],u),e[4]=Math.min(t[4],d),e[5]=Math.max(t[5],p)):(e[0]=Math.min(t,s),e[1]=Math.max(n,l),e[2]=Math.min(r,c),e[3]=Math.max(o,u),e[4]=Math.min(a,d),e[5]=Math.max(i,p)),e}function gi(e,t,n,r){const[o,a,i,s,l,c]=e;return e[0]=t,e[1]=t&gt;a?t:a,e[2]=n,e[3]=n&gt;s?n:s,e[4]=r,e[5]=r&gt;c?r:c,o!==t||i!==n||l!==r}function mi(e,t,n,r){const[o,a,i,s,l,c]=e;return e[0]=t&lt;o?t:o,e[1]=t,e[2]=n&lt;i?n:i,e[3]=n,e[4]=r&lt;l?r:l,e[5]=r,a!==t||s!==n||c!==r}function hi(e,t){return null==t?function(e){const t=[0,0,0];let n=-1,r=0,o=0;for(let a=0;a&lt;3;++a)o=e[2*a+1]-e[2*a],o&gt;r&amp;&amp;(r=o,n=a),t[a]=o&gt;0?1:0;if(n&lt;0)return hi(e,.5);for(let n=0;n&lt;3;++n)if(!t[n]){const t=.005*r;e[2*n]-=t,e[2*n+1]+=t}return e}(e):(e[0]-=t,e[1]+=t,e[2]-=t,e[3]+=t,e[4]-=t,e[5]+=t,e)}function vi(e,t,n,r){return!!li(e)&amp;&amp;(t&gt;=0?(e[0]*=t,e[1]*=t):(e[0]=t*e[1],e[1]=t*e[0]),n&gt;=0?(e[2]*=n,e[3]*=n):(e[2]=n*e[3],e[3]=n*e[2]),r&gt;=0?(e[4]*=r,e[5]*=r):(e[4]=r*e[5],e[5]=r*e[4]),!0)}function Ti(e){return[.5*(e[0]+e[1]),.5*(e[2]+e[3]),.5*(e[4]+e[5])]}function xi(e,t){return e[2*t+1]-e[2*t]}function yi(e){return[xi(e,0),xi(e,1),xi(e,2)]}function bi(e){return e.slice(0,2)}function Ai(e){return e.slice(2,4)}function Ci(e){return e.slice(4,6)}function Si(e){const t=yi(e);return t[0]&gt;t[1]?t[0]&gt;t[2]?t[0]:t[2]:t[1]&gt;t[2]?t[1]:t[2]}function Pi(e){if(li(e)){const t=yi(e);return t[0]*t[0]+t[1]*t[1]+t[2]*t[2]}return null}function wi(e){const t=Pi(e);return null!==t?Math.sqrt(t):null}function Ii(e){return[e[0],e[2],e[4]]}function Oi(e){return[e[1],e[3],e[5]]}function Ri(e,t){return e&lt;=0&amp;&amp;t&gt;=0||e&gt;=0&amp;&amp;t&lt;=0}function Mi(e,t){return t[0]=[e[0],e[2],e[4]],t[1]=[e[0],e[2],e[5]],t[2]=[e[0],e[3],e[4]],t[3]=[e[0],e[3],e[5]],t[4]=[e[1],e[2],e[4]],t[5]=[e[1],e[2],e[5]],t[6]=[e[1],e[3],e[4]],t[7]=[e[1],e[3],e[5]],t}function Di(e,t,n){return t[0]=e[0],t[1]=e[2],t[2]=e[4],n[0]=e[1],n[1]=e[3],n[2]=e[5],t}function Ei(e,t,n=[]){const r=Mi(e,[]);for(let e=0;e&lt;r.length;++e)oe(r[e],r[e],t);return ui(n),pi(n,r)}function Vi(e,t=[]){return t[0]=.5*(e[1]-e[0]),t[1]=.5*(e[3]-e[2]),t[2]=.5*(e[5]-e[4]),t}function Li(e,t,n,r){const o=[].concat(ii),a=e.getData();for(let e=0;e&lt;a.length;e+=3){const i=[a[e],a[e+1],a[e+2]],s=zo(i,t);o[0]=Math.min(s,o[0]),o[1]=Math.max(s,o[1]);const l=zo(i,n);o[2]=Math.min(l,o[2]),o[3]=Math.max(l,o[3]);const c=zo(i,r);o[4]=Math.min(c,o[4]),o[5]=Math.max(c,o[5])}return o}function Bi(e,t,n,r,o){let a=!0;const i=[];let s=0;const l=[],c=[0,0,0];for(let n=0;n&lt;3;n++)t[n]&lt;e[2*n]?(i[n]=1,c[n]=e[2*n],a=!1):t[n]&gt;e[2*n+1]?(i[n]=0,c[n]=e[2*n+1],a=!1):i[n]=2;if(a)return r[0]=t[0],r[1]=t[1],r[2]=t[2],o[0]=0,1;for(let e=0;e&lt;3;e++)2!==i[e]&amp;&amp;0!==n[e]?l[e]=(c[e]-t[e])/n[e]:l[e]=-1;for(let e=0;e&lt;3;e++)l[s]&lt;l[e]&amp;&amp;(s=e);if(l[s]&gt;1||l[s]&lt;0)return 0;o[0]=l[s];for(let o=0;o&lt;3;o++)if(s!==o){if(r[o]=t[o]+l[s]*n[o],r[o]&lt;e[2*o]||r[o]&gt;e[2*o+1])return 0}else r[o]=c[o];return 1}function Fi(e,t,n){const r=[];let o=0,a=1,i=1;for(let s=4;s&lt;=5;++s){r[2]=e[s];for(let s=2;s&lt;=3;++s){r[1]=e[s];for(let s=0;s&lt;=1;++s)if(r[0]=e[s],o=ai.evaluate(n,t,r),i&amp;&amp;(a=o&gt;=0?1:-1,i=0),0===o||a&gt;0&amp;&amp;o&lt;0||a&lt;0&amp;&amp;o&gt;0)return 1}}return 0}function Ni(e,t){if(!li(e)||!li(t))return!1;const n=[0,0,0,0,0,0];let r;for(let o=0;o&lt;3;o++)if(r=!1,t[2*o]&gt;=e[2*o]&amp;&amp;t[2*o]&lt;=e[2*o+1]?(r=!0,n[2*o]=t[2*o]):e[2*o]&gt;=t[2*o]&amp;&amp;e[2*o]&lt;=t[2*o+1]&amp;&amp;(r=!0,n[2*o]=e[2*o]),t[2*o+1]&gt;=e[2*o]&amp;&amp;t[2*o+1]&lt;=e[2*o+1]?(r=!0,n[2*o+1]=t[2*o+1]):e[2*o+1]&gt;=t[2*o]&amp;&amp;e[2*o+1]&lt;=t[2*o+1]&amp;&amp;(r=!0,n[2*o+1]=e[2*o+1]),!r)return!1;return e[0]=n[0],e[1]=n[1],e[2]=n[2],e[3]=n[3],e[4]=n[4],e[5]=n[5],!0}function ki(e,t){if(!li(e)||!li(t))return!1;for(let n=0;n&lt;3;n++)if(!(t[2*n]&gt;=e[2*n]&amp;&amp;t[2*n]&lt;=e[2*n+1]||e[2*n]&gt;=t[2*n]&amp;&amp;e[2*n]&lt;=t[2*n+1]||t[2*n+1]&gt;=e[2*n]&amp;&amp;t[2*n+1]&lt;=e[2*n+1]||e[2*n+1]&gt;=t[2*n]&amp;&amp;e[2*n+1]&lt;=t[2*n+1]))return!1;return!0}function Gi(e,t,n,r){return!(t&lt;e[0]||t&gt;e[1])&amp;&amp;(!(n&lt;e[2]||n&gt;e[3])&amp;&amp;!(r&lt;e[4]||r&gt;e[5]))}function Ui(e,t,n){const r=[[0,1,2,3,4,5,6,7],[0,1,4,5,2,3,6,7],[0,2,4,6,1,3,5,7]],o=[0,0,0,0,0,0,0,0];let a=0;for(let r=0;r&lt;2;r++)for(let i=2;i&lt;4;i++)for(let s=4;s&lt;6;s++){const l=[e[r],e[i],e[s]];o[a++]=ai.evaluate(n,t,l)}let i=2;for(;i--&amp;&amp;!(Ri(o[r[i][0]],o[r[i][4]])&amp;&amp;Ri(o[r[i][1]],o[r[i][5]])&amp;&amp;Ri(o[r[i][2]],o[r[i][6]])&amp;&amp;Ri(o[r[i][3]],o[r[i][7]])););if(i&lt;0)return!1;const s=Math.sign(n[i]),l=Math.abs((e[2*i+1]-e[2*i])*n[i]);let c=s&gt;0?1:0;for(let e=0;e&lt;4;e++){if(0===l)continue;const t=Math.abs(o[r[i][e]])/l;s&gt;0&amp;&amp;t&lt;c&amp;&amp;(c=t),s&lt;0&amp;&amp;t&gt;c&amp;&amp;(c=t)}const u=(1-c)*e[2*i]+c*e[2*i+1];return s&gt;0?e[2*i]=u:e[2*i+1]=u,!0}function _i(e,t){for(let e=0;e&lt;3;++e)t[e]=t[e]&lt;1?1:t[e];let n=t[0]*t[1]*t[2];for(;n&gt;e;){for(let e=0;e&lt;3;++e)t[e]=t[e]&gt;1?t[e]-1:1;n=t[0]*t[1]*t[2]}}function Ki(e,t,n,r=[]){t=t&lt;=0?1:t;let o=0;const a=[0,0,0];let i=-1,s=0;const l=yi(e),c=l[0]+l[1]+l[2],u=c*(.001/3);for(let e=0;e&lt;3;++e)l[e]&gt;s&amp;&amp;(i=e,s=l[e]),l[e]&gt;u?(a[e]=1,o++):a[e]=0;const d=Ii(e),p=Oi(e);if(o&lt;1)return n[0]=1,n[1]=1,n[2]=1,r[0]=d[0]-.5,r[1]=p[0]+.5,r[2]=d[1]-.5,r[3]=p[1]+.5,r[4]=d[2]-.5,r[5]=p[2]+.5,1;let f=t;f/=a[0]?l[0]/c:1,f/=a[1]?l[1]/c:1,f/=a[2]?l[2]/c:1,f**=1/o;for(let e=0;e&lt;3;++e)n[e]=a[e]?Math.floor(f*l[e]/c):1,n[e]=n[e]&lt;1?1:n[e];_i(t,n);const g=.5*l[i]/n[i];for(let e=0;e&lt;3;++e)a[e]?(r[2*e]=d[e],r[2*e+1]=p[e]):(r[2*e]=d[e]-g,r[2*e+1]=p[e]+g);return n[0]*n[1]*n[2]}function zi(e,t){if(e[0]&gt;=t[0]&amp;&amp;e[0]&lt;=t[1]&amp;&amp;e[1]&gt;=t[2]&amp;&amp;e[1]&lt;=t[3]&amp;&amp;e[2]&gt;=t[4]&amp;&amp;e[2]&lt;=t[5])return 0;const n=[0,0,0];return e[0]&lt;t[0]?n[0]=t[0]-e[0]:e[0]&gt;t[1]&amp;&amp;(n[0]=e[0]-t[1]),e[1]&lt;t[2]?n[1]=t[2]-e[1]:e[1]&gt;t[3]&amp;&amp;(n[1]=e[1]-t[3]),e[2]&lt;t[4]?n[2]=t[4]-e[2]:e[2]&gt;t[5]&amp;&amp;(n[2]=e[2]-t[5]),zo(n,n)}class Wi{constructor(e){this.bounds=e,this.bounds||(this.bounds=new Float64Array(ii))}getBounds(){return this.bounds}equals(e){return si(this.bounds,e)}isValid(){return li(this.bounds)}setBounds(e){return ci(this.bounds,e)}reset(){return ui(this.bounds)}addPoint(...e){return di(this.bounds,...e)}addPoints(e){return pi(this.bounds,e)}addBounds(e,t,n,r,o,a){return fi(this.bounds,e,t,n,r,o,a)}setMinPoint(e,t,n){return gi(this.bounds,e,t,n)}setMaxPoint(e,t,n){return mi(this.bounds,e,t,n)}inflate(e){return hi(this.bounds,e)}scale(e,t,n){return vi(this.bounds,e,t,n)}getCenter(){return Ti(this.bounds)}getLength(e){return xi(this.bounds,e)}getLengths(){return yi(this.bounds)}getMaxLength(){return Si(this.bounds)}getDiagonalLength(){return wi(this.bounds)}getDiagonalLength2(){return Pi(this.bounds)}getMinPoint(){return Ii(this.bounds)}getMaxPoint(){return Oi(this.bounds)}getXRange(){return bi(this.bounds)}getYRange(){return Ai(this.bounds)}getZRange(){return Ci(this.bounds)}getCorners(e){return Mi(this.bounds,e)}computeCornerPoints(e,t){return Di(this.bounds,e,t)}computeLocalBounds(e,t,n){return Li(this.bounds,e,t,n)}transformBounds(e,t=[]){return Ei(this.bounds,e,t)}computeScale3(e){return Vi(this.bounds,e)}cutWithPlane(e,t){return Ui(this.bounds,e,t)}intersectBox(e,t,n,r){return Bi(this.bounds,e,t,n,r)}intersectPlane(e,t){return Fi(this.bounds,e,t)}intersect(e){return Ni(this.bounds,e)}intersects(e){return ki(this.bounds,e)}containsPoint(e,t,n){return Gi(this.bounds,e,t,n)}contains(e){return ki(this.bounds,e)}computeDivisions(e,t,n=[]){return Ki(this.bounds,e,t,n)}distance2ToBounds(e){return zi(e,this.bounds)}}var Hi={newInstance:function(e){const t=e&amp;&amp;e.bounds;return new Wi(t)},...{equals:si,isValid:li,setBounds:ci,reset:ui,addPoint:di,addPoints:pi,addBounds:fi,setMinPoint:gi,setMaxPoint:mi,inflate:hi,scale:vi,scaleAboutCenter:function(e,t,n,r){if(!li(e))return!1;const o=Ti(e);return e[0]-=o[0],e[1]-=o[0],e[2]-=o[1],e[3]-=o[1],e[4]-=o[2],e[5]-=o[2],vi(e,t,n,r),e[0]+=o[0],e[1]+=o[0],e[2]+=o[1],e[3]+=o[1],e[4]+=o[2],e[5]+=o[2],!0},getCenter:Ti,getLength:xi,getLengths:yi,getMaxLength:Si,getDiagonalLength:wi,getDiagonalLength2:Pi,getMinPoint:Ii,getMaxPoint:Oi,getXRange:bi,getYRange:Ai,getZRange:Ci,getCorners:Mi,computeCornerPoints:Di,computeLocalBounds:Li,transformBounds:Ei,computeScale3:Vi,cutWithPlane:Ui,intersectBox:Bi,intersectPlane:Fi,intersect:Ni,intersects:ki,containsPoint:Gi,contains:function(e,t){return!!ki(e,t)&amp;&amp;(!!Gi(e,...Ii(t))&amp;&amp;!!Gi(e,...Oi(t)))},computeDivisions:Ki,clampDivisions:_i,distance2ToBounds:zi,INIT_BOUNDS:ii}};var ji={CoordinateSystem:{DISPLAY:0,WORLD:1}};const{CoordinateSystem:Xi}=ji;function qi(e){return()=&gt;sn.vtkErrorMacro(`vtkProp::${e} - NOT IMPLEMENTED`)}const Yi={allocatedRenderTime:10,coordinateSystem:Xi.WORLD,dragable:!0,estimatedRenderTime:0,paths:null,pickable:!0,renderTimeMultiplier:1,savedEstimatedRenderTime:0,textures:[],useBounds:!0,visibility:!0};function Ji(e,t,n={}){Object.assign(t,Yi,n),sn.obj(e,t),sn.get(e,t,[&quot;estimatedRenderTime&quot;,&quot;allocatedRenderTime&quot;]),sn.setGet(e,t,[&quot;_parentProp&quot;,&quot;coordinateSystem&quot;,&quot;dragable&quot;,&quot;pickable&quot;,&quot;renderTimeMultiplier&quot;,&quot;useBounds&quot;,&quot;visibility&quot;]),sn.moveToProtected(e,t,[&quot;parentProp&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkProp&quot;),e.getMTime=()=&gt;{let e=t.mtime;for(let n=0;n&lt;t.textures.length;++n){const r=t.textures[n].getMTime();r&gt;e&amp;&amp;(e=r)}return e},e.processSelectorPixelBuffers=(e,t)=&gt;{},e.getNestedProps=()=&gt;null,e.getActors=()=&gt;[],e.getActors2D=()=&gt;[],e.getVolumes=()=&gt;[],e.pick=qi(&quot;pick&quot;),e.hasKey=qi(&quot;hasKey&quot;),e.getNestedVisibility=()=&gt;t.visibility&amp;&amp;(!t._parentProp||t._parentProp.getNestedVisibility()),e.getNestedPickable=()=&gt;t.pickable&amp;&amp;(!t._parentProp||t._parentProp.getNestedPickable()),e.getNestedDragable=()=&gt;t.dragable&amp;&amp;(!t._parentProp||t._parentProp.getNestedDragable()),e.getRedrawMTime=()=&gt;t.mtime,e.setEstimatedRenderTime=e=&gt;{t.estimatedRenderTime=e,t.savedEstimatedRenderTime=e},e.restoreEstimatedRenderTime=()=&gt;{t.estimatedRenderTime=t.savedEstimatedRenderTime},e.addEstimatedRenderTime=e=&gt;{t.estimatedRenderTime+=e},e.setAllocatedRenderTime=e=&gt;{t.allocatedRenderTime=e,t.savedEstimatedRenderTime=t.estimatedRenderTime,t.estimatedRenderTime=0},e.getSupportsSelection=()=&gt;!1,e.getTextures=()=&gt;t.textures,e.hasTexture=e=&gt;-1!==t.textures.indexOf(e),e.addTexture=n=&gt;{n&amp;&amp;!e.hasTexture(n)&amp;&amp;(t.textures=t.textures.concat(n),e.modified())},e.removeTexture=n=&gt;{const r=t.textures.filter((e=&gt;e!==n));t.textures.length!==r.length&amp;&amp;(t.textures=r,e.modified())},e.removeAllTextures=()=&gt;{t.textures=[],e.modified()},e.setCoordinateSystemToWorld=()=&gt;e.setCoordinateSystem(Xi.WORLD),e.setCoordinateSystemToDisplay=()=&gt;e.setCoordinateSystem(Xi.DISPLAY)}(e,t)}var Zi={newInstance:sn.newInstance(Ji,&quot;vtkProp&quot;),extend:Ji,...ji};function Qi(e,t){t.classHierarchy.push(&quot;vtkProp3D&quot;),e.addPosition=n=&gt;{t.position=t.position.map(((e,t)=&gt;e+n[t])),e.modified()},e.getOrientationWXYZ=()=&gt;{const e=pe();L(e,t.rotation);const r=new Float64Array(3),o=function(e,t){var r=2*Math.acos(t[3]),o=Math.sin(r/2);return o&gt;n?(e[0]=t[0]/o,e[1]=t[1]/o,e[2]=t[2]/o):(e[0]=1,e[1]=0,e[2]=0),r}(r,e);return[Io(o),r[0],r[1],r[2]]},e.getOrientationQuaternion=(e=[])=&gt;L(e,t.rotation),e.rotateX=n=&gt;{0!==n&amp;&amp;(w(t.rotation,t.rotation,wo(n)),e.modified())},e.rotateY=n=&gt;{0!==n&amp;&amp;(I(t.rotation,t.rotation,wo(n)),e.modified())},e.rotateZ=n=&gt;{0!==n&amp;&amp;(O(t.rotation,t.rotation,wo(n)),e.modified())},e.rotateWXYZ=(n,r,o,a)=&gt;{if(0===n||0===r&amp;&amp;0===o&amp;&amp;0===a)return;const i=wo(n),s=pe();fe(s,[r,o,a],i);const l=new Float64Array(16);F(l,s),A(t.rotation,t.rotation,l),e.modified()},e.rotateQuaternion=n=&gt;{if(Math.abs(n[3])&gt;=.999999)return;const r=F(new Float64Array(16),n);A(t.rotation,t.rotation,r),e.modified()},e.setOrientation=(n,r,o)=&gt;(n!==t.orientation[0]||r!==t.orientation[1]||o!==t.orientation[2])&amp;&amp;(t.orientation=[n,r,o],x(t.rotation),e.rotateZ(o),e.rotateX(n),e.rotateY(r),e.modified(),!0),e.setOrientationFromQuaternion=n=&gt;{const r=v();return F(r,n),!oa(r,t.rotation)&amp;&amp;(t.rotation=r,e.modified(),!0)},e.setUserMatrix=n=&gt;!oa(t.userMatrix,n)&amp;&amp;(T(t.userMatrix,n),e.modified(),!0),e.getMatrix=()=&gt;(e.computeMatrix(),t.matrix),e.computeMatrix=()=&gt;{if(e.getMTime()&gt;t.matrixMTime.getMTime()){x(t.matrix),t.userMatrix&amp;&amp;A(t.matrix,t.matrix,t.userMatrix),C(t.matrix,t.matrix,t.origin),C(t.matrix,t.matrix,t.position),A(t.matrix,t.matrix,t.rotation),S(t.matrix,t.matrix,t.scale),C(t.matrix,t.matrix,[-t.origin[0],-t.origin[1],-t.origin[2]]),y(t.matrix,t.matrix),t.isIdentity=!0;for(let e=0;e&lt;4;++e)for(let n=0;n&lt;4;++n)(e===n?1:0)!==t.matrix[e+4*n]&amp;&amp;(t.isIdentity=!1);t.matrixMTime.modified()}},e.computeBounds=()=&gt;{if(null===t.mapper)return void Hi.reset(t.bounds);const n=t.mapper.getBounds();if(!n||6!==n.length||!Hi.isValid(n))return t.mapperBounds=n,Hi.reset(t.bounds),void t.boundsMTime.modified();if(!t.mapperBounds||!n.every(((e,r)=&gt;n[r]===t.mapperBounds[r]))||e.getMTime()&gt;t.boundsMTime.getMTime()){sn.vtkDebugMacro(&quot;Recomputing bounds...&quot;),t.mapperBounds=n,e.computeMatrix();const r=new Float64Array(16);y(r,t.matrix),Hi.transformBounds(n,r,t.bounds),t.boundsMTime.modified()}};const r=e.getBounds;e.getBounds=()=&gt;(e.computeBounds(),r());const o=e.getBoundsByReference;e.getBoundsByReference=()=&gt;(e.computeBounds(),o()),e.getCenter=()=&gt;Hi.getCenter(e.getBoundsByReference()),e.getLength=()=&gt;Hi.getLength(e.getBoundsByReference()),e.getXRange=()=&gt;Hi.getXRange(e.getBoundsByReference()),e.getYRange=()=&gt;Hi.getYRange(e.getBoundsByReference()),e.getZRange=()=&gt;Hi.getZRange(e.getBoundsByReference()),e.getUserMatrix=()=&gt;t.userMatrix,e.onModified((function(){e.computeMatrix()})),e.getProperty=(n=0)=&gt;(null==t.properties[n]&amp;&amp;(t.properties[n]=e.makeProperty?.()),t.properties[n]),e.getProperties=()=&gt;(0===t.properties.length&amp;&amp;(t.properties[0]=e.makeProperty?.()),t.properties),e.setProperty=(e,n)=&gt;{const r=Number.isInteger(e),[o,a]=r?[e,n]:[0,e];return t.properties[o]!==a&amp;&amp;(t.properties[o]=a,!0)},e.getMTime=()=&gt;{let e=t.mtime;return t.properties.forEach((t=&gt;{if(null!==t){const n=t.getMTime();e=n&gt;e?n:e}})),e}}const $i={bounds:[...Hi.INIT_BOUNDS],origin:[0,0,0],position:[0,0,0],orientation:[0,0,0],rotation:null,scale:[1,1,1],properties:[],userMatrix:null,userMatrixMTime:null,cachedProp3D:null,isIdentity:!0,matrixMTime:null};function es(e,t,n={}){Object.assign(t,$i,n),Zi.extend(e,t,n),t.matrixMTime={},sn.obj(t.matrixMTime),sn.get(e,t,[&quot;isIdentity&quot;]),sn.getArray(e,t,[&quot;orientation&quot;]),sn.setGetArray(e,t,[&quot;origin&quot;,&quot;position&quot;,&quot;scale&quot;],3),sn.setGet(e,t,[&quot;properties&quot;]),sn.getArray(e,t,[&quot;bounds&quot;],6),t.matrix=x(new Float64Array(16)),t.rotation=x(new Float64Array(16)),t.userMatrix=x(new Float64Array(16)),t.transform=null,Qi(e,t)}var ts={newInstance:sn.newInstance(es,&quot;vtkProp3D&quot;),extend:es};const ns={FLAT:0,GOURAUD:1,PHONG:2},rs={POINTS:0,WIREFRAME:1,SURFACE:2};var os={Shading:ns,Representation:rs,Interpolation:ns};const{Representation:as,Interpolation:is}=os;function ss(e){return()=&gt;sn.vtkErrorMacro(`vtkProperty::${e} - NOT IMPLEMENTED`)}const ls={color:[1,1,1],ambientColor:[1,1,1],diffuseColor:[1,1,1],specularColor:[1,1,1],edgeColor:[0,0,0],ambient:0,diffuse:1,metallic:0,roughness:.6,normalStrength:1,emission:1,baseIOR:1.45,specular:0,specularPower:1,opacity:1,edgeOpacity:1,interpolation:is.GOURAUD,representation:as.SURFACE,edgeVisibility:!1,backfaceCulling:!1,frontfaceCulling:!1,pointSize:1,lineWidth:1,lighting:!0,shading:!1,materialName:null,ORMTexture:null,RMTexture:null};function cs(e,t,n={}){Object.assign(t,ls,n),sn.obj(e,t),sn.setGet(e,t,[&quot;lighting&quot;,&quot;interpolation&quot;,&quot;ambient&quot;,&quot;diffuse&quot;,&quot;metallic&quot;,&quot;roughness&quot;,&quot;normalStrength&quot;,&quot;emission&quot;,&quot;baseIOR&quot;,&quot;specular&quot;,&quot;specularPower&quot;,&quot;opacity&quot;,&quot;edgeOpacity&quot;,&quot;edgeVisibility&quot;,&quot;lineWidth&quot;,&quot;pointSize&quot;,&quot;backfaceCulling&quot;,&quot;frontfaceCulling&quot;,&quot;representation&quot;,&quot;diffuseTexture&quot;,&quot;metallicTexture&quot;,&quot;roughnessTexture&quot;,&quot;normalTexture&quot;,&quot;ambientOcclusionTexture&quot;,&quot;emissionTexture&quot;,&quot;ORMTexture&quot;,&quot;RMTexture&quot;]),sn.setGetArray(e,t,[&quot;ambientColor&quot;,&quot;specularColor&quot;,&quot;diffuseColor&quot;,&quot;edgeColor&quot;],3),function(e,t){t.classHierarchy.push(&quot;vtkProperty&quot;),e.setColor=(n,r,o)=&gt;{Array.isArray(n)?t.color[0]===n[0]&amp;&amp;t.color[1]===n[1]&amp;&amp;t.color[2]===n[2]||(t.color[0]=n[0],t.color[1]=n[1],t.color[2]=n[2],e.modified()):t.color[0]===n&amp;&amp;t.color[1]===r&amp;&amp;t.color[2]===o||(t.color[0]=n,t.color[1]=r,t.color[2]=o,e.modified()),e.setDiffuseColor(t.color),e.setAmbientColor(t.color),e.setSpecularColor(t.color)},e.computeCompositeColor=ss(&quot;ComputeCompositeColor&quot;),e.getColor=()=&gt;{let e=0;t.ambient+t.diffuse+t.specular&gt;0&amp;&amp;(e=1/(t.ambient+t.diffuse+t.specular));for(let n=0;n&lt;3;n++)t.color[n]=e*(t.ambient*t.ambientColor[n]+t.diffuse*t.diffuseColor[n]+t.specular*t.specularColor[n]);return[].concat(t.color)},e.setSpecularPower=n=&gt;{const r=1/Math.max(1,n);t.roughness===r&amp;&amp;t.specularPower===n||(t.specularPower=n,t.roughness=r,e.modified())},e.addShaderVariable=ss(&quot;AddShaderVariable&quot;),e.setInterpolationToFlat=()=&gt;e.setInterpolation(is.FLAT),e.setInterpolationToGouraud=()=&gt;e.setInterpolation(is.GOURAUD),e.setInterpolationToPhong=()=&gt;e.setInterpolation(is.PHONG),e.getInterpolationAsString=()=&gt;sn.enumToString(is,t.interpolation),e.setRepresentationToWireframe=()=&gt;e.setRepresentation(as.WIREFRAME),e.setRepresentationToSurface=()=&gt;e.setRepresentation(as.SURFACE),e.setRepresentationToPoints=()=&gt;e.setRepresentation(as.POINTS),e.getRepresentationAsString=()=&gt;sn.enumToString(as,t.representation)}(e,t)}var us={newInstance:sn.newInstance(cs,&quot;vtkProperty&quot;),extend:cs,...os};const ds={mapper:null,backfaceProperty:null,forceOpaque:!1,forceTranslucent:!1};function ps(e,t,n={}){Object.assign(t,ds,n),ts.extend(e,t,n),t.boundsMTime={},sn.obj(t.boundsMTime),sn.setGet(e,t,[&quot;backfaceProperty&quot;,&quot;forceOpaque&quot;,&quot;forceTranslucent&quot;,&quot;mapper&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkActor&quot;);const n={...e};e.getActors=()=&gt;[e],e.getIsOpaque=()=&gt;{if(t.forceOpaque)return!0;if(t.forceTranslucent)return!1;t.properties[0]||e.getProperty();let n=t.properties[0].getOpacity()&gt;=1;return n=n&amp;&amp;(!t.texture||!t.texture.isTranslucent()),n=n&amp;&amp;(!t.mapper||t.mapper.getIsOpaque()),n},e.hasTranslucentPolygonalGeometry=()=&gt;null!==t.mapper&amp;&amp;(t.properties[0]||e.getProperty(),!e.getIsOpaque()),e.makeProperty=us.newInstance,e.getMTime=()=&gt;{let e=n.getMTime();if(null!==t.backfaceProperty){const n=t.backfaceProperty.getMTime();e=n&gt;e?n:e}return e},e.getRedrawMTime=()=&gt;{let e=t.mtime;if(null!==t.mapper){let n=t.mapper.getMTime();e=n&gt;e?n:e,null!==t.mapper.getInput()&amp;&amp;(t.mapper.getInputAlgorithm().update(),n=t.mapper.getInput().getMTime(),e=n&gt;e?n:e)}return e},e.getSupportsSelection=()=&gt;!!t.mapper&amp;&amp;t.mapper.getSupportsSelection(),e.processSelectorPixelBuffers=(e,n)=&gt;{t.mapper&amp;&amp;t.mapper.processSelectorPixelBuffers&amp;&amp;t.mapper.processSelectorPixelBuffers(e,n)}}(e,t)}var fs={newInstance:sn.newInstance(ps,&quot;vtkActor&quot;),extend:ps};const gs={Int8Array:1,Uint8Array:1,Uint8ClampedArray:1,Int16Array:2,Uint16Array:2,Int32Array:4,Uint32Array:4,Float32Array:4,Float64Array:8},ms={VOID:&quot;&quot;,CHAR:&quot;Int8Array&quot;,SIGNED_CHAR:&quot;Int8Array&quot;,UNSIGNED_CHAR:&quot;Uint8Array&quot;,UNSIGNED_CHAR_CLAMPED:&quot;Uint8ClampedArray&quot;,SHORT:&quot;Int16Array&quot;,UNSIGNED_SHORT:&quot;Uint16Array&quot;,INT:&quot;Int32Array&quot;,UNSIGNED_INT:&quot;Uint32Array&quot;,FLOAT:&quot;Float32Array&quot;,DOUBLE:&quot;Float64Array&quot;};var hs={DefaultDataType:ms.FLOAT,DataTypeByteSize:gs,VtkDataTypes:ms};const{vtkErrorMacro:vs}=ln,{DefaultDataType:Ts}=hs;function xs(e,t,n){const r=e.length;let o,a,i=Number.MAX_VALUE,s=-Number.MAX_VALUE;for(a=t;a&lt;r;a+=n)if(!Number.isNaN(e[a])){i=e[a],s=i;break}for(;a&lt;r;a+=n)o=e[a],o&lt;i?i=o:o&gt;s&amp;&amp;(s=o);return{min:i,max:s}}function ys(e,t=0,n=1){if(t&lt;0&amp;&amp;n&gt;1){const t=e.length/n,r=new Float64Array(t);for(let o=0,a=0;o&lt;t;++o){for(let t=a+n;a&lt;t;++a)r[o]+=e[a]*e[a];r[o]**=.5}return xs(r,0,1)}return xs(e,t&lt;0?0:t,n)}function bs(e,t=0){const n=e||[];for(;n.length&lt;=t;)n.push(null);return n}function As(e){return Object.prototype.toString.call(e).slice(8,-1)}const Cs={computeRange:ys,createRangeHelper:function(){let e=Number.MAX_VALUE,t=-Number.MAX_VALUE,n=0,r=0;return{add(o){e&gt;o&amp;&amp;(e=o),t&lt;o&amp;&amp;(t=o),n++,r+=o},get:()=&gt;({min:e,max:t,count:n,sum:r,mean:r/n}),getRange:()=&gt;({min:e,max:t})}},fastComputeRange:xs,getDataType:As,getMaxNorm:function(e){const t=e.getNumberOfComponents();let n=0;const r=new Array(t);for(let o=0;o&lt;e.getNumberOfTuples();++o){e.getTuple(o,r);const a=Ho(r,t);a&gt;n&amp;&amp;(n=a)}return n}};const Ss={name:&quot;&quot;,numberOfComponents:1,dataType:Ts,rangeTuple:[0,0]};function Ps(e,t,n={}){if(Object.assign(t,Ss,n),Array.isArray(n.values)&amp;&amp;void 0===n.dataType&amp;&amp;console.warn(&quot;vtkDataArray.newInstance: no dataType provided, converting to Float32Array&quot;),!t.empty&amp;&amp;!t.values&amp;&amp;!t.size)throw new TypeError(&quot;Cannot create vtkDataArray object without: size &gt; 0, values&quot;);if(t.values?Array.isArray(t.values)&amp;&amp;(t.values=St(t.dataType,t.values)):t.values=Ct(t.dataType,t.size),t.values&amp;&amp;(t.size=t.size??t.values.length,t.dataType=As(t.values)),Vt(e,t),kt(e,t,[&quot;name&quot;,&quot;numberOfComponents&quot;]),t.size%t.numberOfComponents!=0)throw new RangeError(&quot;model.size is not a multiple of model.numberOfComponents&quot;);!function(e,t){function n(n){if(n&lt;0)return!1;const r=e.getNumberOfComponents(),o=t.values.length/(r&gt;0?r:1);if(n===o)return!0;if(n&gt;o){const e=t.values;return t.values=Ct(t.dataType,(n+o)*r),t.values.set(e),!0}return t.size&gt;n*r&amp;&amp;(t.size=n*r,e.dataChange()),!0}t.classHierarchy.push(&quot;vtkDataArray&quot;),e.dataChange=()=&gt;{t.ranges=null,e.modified()},e.allocate=t=&gt;{n(e.getNumberOfTuples()+t)},e.resize=r=&gt;{n(r);const o=r*e.getNumberOfComponents();return t.size!==o&amp;&amp;(t.size=o,e.dataChange(),!0)},e.initialize=()=&gt;(e.resize(0),e),e.getElementComponentSize=()=&gt;t.values.BYTES_PER_ELEMENT,e.getComponent=(e,n=0)=&gt;t.values[e*t.numberOfComponents+n],e.setComponent=(n,r,o)=&gt;{o!==t.values[n*t.numberOfComponents+r]&amp;&amp;(t.values[n*t.numberOfComponents+r]=o,e.dataChange())},e.getValue=n=&gt;{const r=n/t.numberOfComponents,o=n%t.numberOfComponents;return e.getComponent(r,o)},e.setValue=(n,r)=&gt;{const o=n/t.numberOfComponents,a=n%t.numberOfComponents;e.setComponent(o,a,r)},e.getData=()=&gt;t.size===t.values.length?t.values:t.values.subarray(0,t.size),e.getRange=(n=-1)=&gt;{let r=n;r&lt;0&amp;&amp;(r=1===t.numberOfComponents?0:t.numberOfComponents);let o=null;return t.ranges||(t.ranges=bs(t.ranges,t.numberOfComponents)),o=t.ranges[r],o?(t.rangeTuple[0]=o.min,t.rangeTuple[1]=o.max,t.rangeTuple):(o=ys(e.getData(),n,t.numberOfComponents),t.ranges[r]=o,t.rangeTuple[0]=o.min,t.rangeTuple[1]=o.max,t.rangeTuple)},e.setRange=(e,n)=&gt;{t.ranges||(t.ranges=bs(t.ranges,t.numberOfComponents));const r={min:e.min,max:e.max};return t.ranges[n]=r,t.rangeTuple[0]=r.min,t.rangeTuple[1]=r.max,t.rangeTuple},e.getRanges=(n=!0)=&gt;{if(!n)return structuredClone(t.ranges);const r=[];for(let n=0;n&lt;t.numberOfComponents;n++){const[t,o]=e.getRange(n),a={min:t,max:o};r.push(a)}if(t.numberOfComponents&gt;1){const[t,n]=e.getRange(-1),o={min:t,max:n};r.push(o)}return r},e.setTuple=(e,n)=&gt;{const r=e*t.numberOfComponents;for(let e=0;e&lt;t.numberOfComponents;e++)t.values[r+e]=n[e]},e.setTuples=(e,n)=&gt;{let r=e*t.numberOfComponents;const o=Math.min(n.length,t.size-r);for(let e=0;e&lt;o;)t.values[r++]=n[e++]},e.insertTuple=(r,o)=&gt;(t.size&lt;=r*t.numberOfComponents&amp;&amp;(t.size=(r+1)*t.numberOfComponents,n(r+1)),e.setTuple(r,o),r),e.insertTuples=(r,o)=&gt;{const a=r+o.length/t.numberOfComponents;return t.size&lt;a*t.numberOfComponents&amp;&amp;(t.size=a*t.numberOfComponents,n(a)),e.setTuples(r,o),a},e.insertNextTuple=n=&gt;{const r=t.size/t.numberOfComponents;return e.insertTuple(r,n)},e.insertNextTuples=n=&gt;{const r=t.size/t.numberOfComponents;return e.insertTuples(r,n)},e.findTuple=(e,n=1e-6)=&gt;{for(let r=0;r&lt;t.size;r+=t.numberOfComponents)if(Math.abs(e[0]-t.values[r])&lt;=n){let o=!0;for(let a=1;a&lt;t.numberOfComponents;++a)if(Math.abs(e[a]-t.values[r+a])&gt;n){o=!1;break}if(o)return r/t.numberOfComponents}return-1},e.getTuple=(e,n=[])=&gt;{const r=t.numberOfComponents||1,o=e*r;switch(r){case 4:n[3]=t.values[o+3];case 3:n[2]=t.values[o+2];case 2:n[1]=t.values[o+1];case 1:n[0]=t.values[o];break;default:for(let e=r-1;e&gt;=0;--e)n[e]=t.values[o+e]}return n},e.getTuples=(n,r)=&gt;{const o=(n??0)*t.numberOfComponents,a=(r??e.getNumberOfTuples())*t.numberOfComponents,i=e.getData().subarray(o,a);return i.length&gt;0?i:null},e.getTupleLocation=(e=1)=&gt;e*t.numberOfComponents,e.getNumberOfComponents=()=&gt;t.numberOfComponents,e.getNumberOfValues=()=&gt;t.size,e.getNumberOfTuples=()=&gt;t.size/t.numberOfComponents,e.getDataType=()=&gt;t.dataType,e.newClone=()=&gt;ws({empty:!0,name:t.name,dataType:t.dataType,numberOfComponents:t.numberOfComponents}),e.getName=()=&gt;(t.name||(e.modified(),t.name=`vtkDataArray${e.getMTime()}`),t.name),e.setData=(n,r)=&gt;{t.values=n,t.size=n.length,t.dataType=As(n),r&amp;&amp;(t.numberOfComponents=r),t.size%t.numberOfComponents!=0&amp;&amp;(t.numberOfComponents=1),e.dataChange()},e.getState=({preserveTypedArrays:n=!1}={})=&gt;{if(t.deleted)return null;const r={...t,vtkClass:e.getClassName()};n||(r.values=Array.from(r.values)),delete r.buffer,Object.keys(r).forEach((e=&gt;{r[e]||delete r[e]}));const o={};return Object.keys(r).sort().forEach((e=&gt;{o[e]=r[e]})),o.mtime&amp;&amp;delete o.mtime,o},e.deepCopy=n=&gt;{const r=e.getDataType(),o=t.values;e.shallowCopy(n),t.ranges=structuredClone(n.getRanges()),o?.length&gt;=n.getNumberOfValues()&amp;&amp;r===n.getDataType()?(o.set(n.getData()),t.values=o,e.dataChange()):e.setData(n.getData().slice())},e.interpolateTuple=(n,r,o,a,i,s)=&gt;{const l=t.numberOfComponents||1;l===r.getNumberOfComponents()&amp;&amp;l===a.getNumberOfComponents()||vs(&quot;numberOfComponents must match&quot;);const c=r.getTuple(o),u=a.getTuple(i),d=[];switch(d.length=l,l){case 4:d[3]=c[3]+(u[3]-c[3])*s;case 3:d[2]=c[2]+(u[2]-c[2])*s;case 2:d[1]=c[1]+(u[1]-c[1])*s;case 1:d[0]=c[0]+(u[0]-c[0])*s;break;default:for(let e=0;e&lt;l;e++)d[e]=c[e]+(u[e]-c[e])*s}return e.insertTuple(n,d)}}(e,t)}const ws=Xt(Ps,&quot;vtkDataArray&quot;);var Is={newInstance:ws,extend:Ps,...Cs,...hs};const{vtkErrorMacro:Os}=sn,Rs=new Float64Array(16),Ms=new Float64Array(4);function Ds(e,t){const n=e.getNormalByReference(),r=e.getOriginByReference();return t[0]=n[0],t[1]=n[1],t[2]=n[2],t[3]=-(n[0]*r[0]+n[1]*r[1]+n[2]*r[2]),t}const Es={clippingPlanes:[]};var Vs={extend:function(e,t,n={}){Object.assign(t,Es,n),sn.obj(e,t),sn.algo(e,t,1,0),t.clippingPlanes||(t.clippingPlanes=[]),function(e,t){t.classHierarchy.push(&quot;vtkAbstractMapper&quot;),e.update=()=&gt;{e.getInputData()},e.addClippingPlane=n=&gt;!!n.isA(&quot;vtkPlane&quot;)&amp;&amp;!t.clippingPlanes.includes(n)&amp;&amp;(t.clippingPlanes.push(n),e.modified(),!0),e.getNumberOfClippingPlanes=()=&gt;t.clippingPlanes.length,e.removeAllClippingPlanes=()=&gt;0!==t.clippingPlanes.length&amp;&amp;(t.clippingPlanes.length=0,e.modified(),!0),e.removeClippingPlane=n=&gt;{const r=t.clippingPlanes.indexOf(n);return-1!==r&amp;&amp;(t.clippingPlanes.splice(r,1),e.modified(),!0)},e.getClippingPlanes=()=&gt;t.clippingPlanes,e.getClippingPlanesMTime=()=&gt;{let e=0;for(let n=0;n&lt;t.clippingPlanes.length;n++)e=Math.max(e,t.clippingPlanes[n].getMTime());return e},e.setClippingPlanes=t=&gt;{if(t)if(Array.isArray(t)){const n=t.length;for(let r=0;r&lt;n&amp;&amp;r&lt;6;r++)e.addClippingPlane(t[r])}else e.addClippingPlane(t)},e.getClippingPlaneInCoords=(e,n,r)=&gt;{if(n&lt;0||n&gt;=t.clippingPlanes?.length)return void Os(`Clipping plane index ${n} is out of range.`);const o=r||new Float64Array(4);return Ds(t.clippingPlanes[n],Ms),b(Rs,e),y(Rs,Rs),de(o,Ms,Rs),o},e.getClippingPlaneInDataCoords=(e,n,r)=&gt;{const o=t.clippingPlanes;if(o){const t=o.length;if(n&gt;=0&amp;&amp;n&lt;t)return Ds(o[n],Ms),void de(r,Ms,e)}Os(`Clipping plane index ${n} is out of range.`)}}(e,t)}};var Ls={extend:function(e,t,n={}){Object.assign(t,(e=&gt;({bounds:[...Hi.INIT_BOUNDS],center:[0,0,0],viewSpecificProperties:{},...e}))(n)),Vs.extend(e,t,n),sn.setGet(e,t,[&quot;viewSpecificProperties&quot;]),sn.getArray(e,t,[&quot;bounds&quot;],6),function(e,t){e.computeBounds=()=&gt;{sn.vtkErrorMacro(&quot;vtkAbstractMapper3D.computeBounds - NOT IMPLEMENTED&quot;)};const n=e.getBounds;e.getBounds=()=&gt;(e.computeBounds(),n());const r=e.getBoundsByReference;e.getBoundsByReference=()=&gt;(e.computeBounds(),r()),e.getCenter=()=&gt;{const n=e.getBoundsByReference();return t.center=Hi.isValid(n)?Hi.getCenter(n):null,t.center?.slice()},e.getLength=()=&gt;{const t=e.getBoundsByReference();return Hi.getDiagonalLength(t)}}(e,t)}};const{vtkErrorMacro:Bs,vtkWarningMacro:Fs}=sn;const Ns={arrays:[],copyFieldFlags:[],doCopyAllOn:!0,doCopyAllOff:!1};function ks(e,t,n={}){Object.assign(t,Ns,n),sn.obj(e,t),function(e,t){t.classHierarchy.push(&quot;vtkFieldData&quot;);const n=e.getState;t.arrays&amp;&amp;(t.arrays=t.arrays.map((e=&gt;({data:it(e.data)})))),e.initialize=()=&gt;{e.initializeFields(),e.copyAllOn(),e.clearFieldFlags()},e.initializeFields=()=&gt;{t.arrays=[],t.copyFieldFlags={},e.modified()},e.copyStructure=n=&gt;{e.initializeFields(),t.copyFieldFlags=n.getCopyFieldFlags().map((e=&gt;e)),t.arrays=n.getArrays().map((e=&gt;({data:e})))},e.getNumberOfArrays=()=&gt;t.arrays.length,e.getNumberOfActiveArrays=()=&gt;t.arrays.length,e.addArray=n=&gt;{const r=n.getName(),{array:o,index:a}=e.getArrayWithIndex(r);return null!=o?(t.arrays[a]={data:n},a):(t.arrays=[].concat(t.arrays,{data:n}),t.arrays.length-1)},e.removeAllArrays=()=&gt;{t.arrays=[]},e.removeArray=n=&gt;{const r=t.arrays.findIndex((e=&gt;e.data.getName()===n));return e.removeArrayByIndex(r)},e.removeArrayByIndex=e=&gt;-1!==e&amp;&amp;e&lt;t.arrays.length&amp;&amp;(t.arrays.splice(e,1),!0),e.getArrays=()=&gt;t.arrays.map((e=&gt;e.data)),e.getArray=t=&gt;&quot;number&quot;==typeof t?e.getArrayByIndex(t):e.getArrayByName(t),e.getArrayByName=e=&gt;t.arrays.reduce(((t,n,r)=&gt;n.data.getName()===e?n.data:t),null),e.getArrayWithIndex=e=&gt;{const n=t.arrays.findIndex((t=&gt;t.data.getName()===e));return{array:-1!==n?t.arrays[n].data:null,index:n}},e.getArrayByIndex=e=&gt;e&gt;=0&amp;&amp;e&lt;t.arrays.length?t.arrays[e].data:null,e.hasArray=t=&gt;e.getArrayWithIndex(t).index&gt;=0,e.getArrayName=e=&gt;{const n=t.arrays[e];return n?n.data.getName():&quot;&quot;},e.getCopyFieldFlags=()=&gt;t.copyFieldFlags,e.getFlag=e=&gt;t.copyFieldFlags[e],e.passData=(n,r=-1,o=-1)=&gt;{n.getArrays().forEach((a=&gt;{const i=e.getFlag(a.getName());if(!1!==i&amp;&amp;(!t.doCopyAllOff||!0===i)&amp;&amp;a){let t=e.getArrayByName(a.getName());if(t)if(a.getNumberOfComponents()===t.getNumberOfComponents())if(r&gt;-1&amp;&amp;r&lt;a.getNumberOfTuples()){const e=o&gt;-1?o:r;t.insertTuple(e,a.getTuple(r))}else t.insertTuples(0,a.getTuples());else Bs(&quot;Unhandled case in passData&quot;);else if(r&lt;0||r&gt;a.getNumberOfTuples())e.addArray(a),n.getAttributes(a).forEach((t=&gt;{e.setAttribute(a,t)}));else{const i=a.getNumberOfComponents();let s=a.getNumberOfValues();const l=o&gt;-1?o:r;s&lt;=l*i&amp;&amp;(s=(l+1)*i),t=Is.newInstance({name:a.getName(),dataType:a.getDataType(),numberOfComponents:i,values:sn.newTypedArray(a.getDataType(),s),size:0}),t.insertTuple(l,a.getTuple(r)),e.addArray(t),n.getAttributes(a).forEach((n=&gt;{e.setAttribute(t,n)}))}}}))},e.interpolateData=(n,r=-1,o=-1,a=-1,i=.5)=&gt;{n.getArrays().forEach((s=&gt;{const l=e.getFlag(s.getName());if(!1!==l&amp;&amp;(!t.doCopyAllOff||!0===l)&amp;&amp;s){let t=e.getArrayByName(s.getName());if(t)if(s.getNumberOfComponents()===t.getNumberOfComponents())if(r&gt;-1&amp;&amp;r&lt;s.getNumberOfTuples()){const e=a&gt;-1?a:r;t.interpolateTuple(e,s,r,s,o,i),Fs(&quot;Unexpected case in interpolateData&quot;)}else t.insertTuples(s.getTuples());else Bs(&quot;Unhandled case in interpolateData&quot;);else if(r&lt;0||o&lt;0||r&gt;s.getNumberOfTuples())e.addArray(s),n.getAttributes(s).forEach((t=&gt;{e.setAttribute(s,t)}));else{const l=s.getNumberOfComponents();let c=s.getNumberOfValues();const u=a&gt;-1?a:r;c&lt;=u*l&amp;&amp;(c=(u+1)*l),t=Is.newInstance({name:s.getName(),dataType:s.getDataType(),numberOfComponents:l,values:sn.newTypedArray(s.getDataType(),c),size:0}),t.interpolateTuple(u,s,r,s,o,i),e.addArray(t),n.getAttributes(s).forEach((n=&gt;{e.setAttribute(t,n)}))}}}))},e.copyFieldOn=e=&gt;{t.copyFieldFlags[e]=!0},e.copyFieldOff=e=&gt;{t.copyFieldFlags[e]=!1},e.copyAllOn=()=&gt;{t.doCopyAllOn&amp;&amp;!t.doCopyAllOff||(t.doCopyAllOn=!0,t.doCopyAllOff=!1,e.modified())},e.copyAllOff=()=&gt;{!t.doCopyAllOn&amp;&amp;t.doCopyAllOff||(t.doCopyAllOn=!1,t.doCopyAllOff=!0,e.modified())},e.clearFieldFlags=()=&gt;{t.copyFieldFlags={}},e.deepCopy=e=&gt;{t.arrays=e.getArrays().map((e=&gt;{const t=e.newClone();return t.deepCopy(e),{data:t}}))},e.copyFlags=e=&gt;e.getCopyFieldFlags().map((e=&gt;e)),e.reset=()=&gt;t.arrays.forEach((e=&gt;e.data.reset())),e.getMTime=()=&gt;t.arrays.reduce(((e,t)=&gt;t.data.getMTime()&gt;e?t.data.getMTime():e),t.mtime),e.getNumberOfComponents=()=&gt;t.arrays.reduce(((e,t)=&gt;e+t.data.getNumberOfComponents()),0),e.getNumberOfTuples=()=&gt;t.arrays.length&gt;0?t.arrays[0].getNumberOfTuples():0,e.getState=e=&gt;{const r=n(e);return r&amp;&amp;(r.arrays=t.arrays.map((t=&gt;({data:t.data.getState(e)})))),r}}(e,t)}var Gs={newInstance:sn.newInstance(ks,&quot;vtkFieldData&quot;),extend:ks};const Us={DEFAULT:0,SINGLE:1,DOUBLE:2};var _s={AttributeCopyOperations:{COPYTUPLE:0,INTERPOLATE:1,PASSDATA:2,ALLCOPY:3},AttributeLimitTypes:{MAX:0,EXACT:1,NOLIMIT:2},AttributeTypes:{SCALARS:0,VECTORS:1,NORMALS:2,TCOORDS:3,TENSORS:4,GLOBALIDS:5,PEDIGREEIDS:6,EDGEFLAG:7,NUM_ATTRIBUTES:8},CellGhostTypes:{DUPLICATECELL:1,HIGHCONNECTIVITYCELL:2,LOWCONNECTIVITYCELL:4,REFINEDCELL:8,EXTERIORCELL:16,HIDDENCELL:32},DesiredOutputPrecision:Us,PointGhostTypes:{DUPLICATEPOINT:1,HIDDENPOINT:2},ghostArrayName:&quot;vtkGhostType&quot;};const{AttributeTypes:Ks,AttributeCopyOperations:zs}=_s,{vtkWarningMacro:Ws}=sn;const Hs={activeScalars:-1,activeVectors:-1,activeTensors:-1,activeNormals:-1,activeTCoords:-1,activeGlobalIds:-1,activePedigreeIds:-1};function js(e,t,n={}){Object.assign(t,Hs,n),Gs.extend(e,t,n),sn.setGet(e,t,[&quot;activeScalars&quot;,&quot;activeNormals&quot;,&quot;activeTCoords&quot;,&quot;activeVectors&quot;,&quot;activeTensors&quot;,&quot;activeGlobalIds&quot;,&quot;activePedigreeIds&quot;]),t.arrays||(t.arrays={}),function(e,t){const n=[&quot;Scalars&quot;,&quot;Vectors&quot;,&quot;Normals&quot;,&quot;TCoords&quot;,&quot;Tensors&quot;,&quot;GlobalIds&quot;,&quot;PedigreeIds&quot;];function r(e){let t=n.find((t=&gt;Ks[t.toUpperCase()]===e||&quot;number&quot;!=typeof e&amp;&amp;t.toLowerCase()===e.toLowerCase()));return void 0===t&amp;&amp;(t=null),t}t.classHierarchy.push(&quot;vtkDataSetAttributes&quot;);const o={...e};e.checkNumberOfComponents=e=&gt;!0,e.setAttribute=(n,o)=&gt;{const a=r(o);if(n&amp;&amp;&quot;PEDIGREEIDS&quot;===a.toUpperCase()&amp;&amp;!n.isA(&quot;vtkDataArray&quot;))return Ws(`Cannot set attribute ${a}. The attribute must be a vtkDataArray.`),-1;if(n&amp;&amp;!e.checkNumberOfComponents(n,a))return Ws(`Cannot set attribute ${a}. Incorrect number of components.`),-1;if(n){const r=e.addArray(n);t[`active${a}`]=r}else t[`active${a}`]=-1;return e.modified(),t[`active${a}`]},e.getAttributes=t=&gt;n.filter((n=&gt;e[`get${n}`]()===t)),e.setActiveAttributeByName=(t,n)=&gt;e.setActiveAttributeByIndex(e.getArrayWithIndex(t).index,n),e.setActiveAttributeByIndex=(n,o)=&gt;{const a=r(o);if(n&gt;=0&amp;&amp;n&lt;t.arrays.length){if(&quot;PEDIGREEIDS&quot;!==a.toUpperCase()){const t=e.getArrayByIndex(n);if(!t.isA(&quot;vtkDataArray&quot;))return Ws(`Cannot set attribute ${a}. Only vtkDataArray subclasses can be set as active attributes.`),-1;if(!e.checkNumberOfComponents(t,a))return Ws(`Cannot set attribute ${a}. Incorrect number of components.`),-1}return t[`active${a}`]=n,e.modified(),n}return-1===n&amp;&amp;(t[`active${a}`]=n,e.modified()),-1},e.getActiveAttribute=t=&gt;{const n=r(t);return e[`get${n}`]()},e.removeAllArrays=()=&gt;{n.forEach((e=&gt;{t[`active${e}`]=-1})),o.removeAllArrays()},e.removeArrayByIndex=e=&gt;(-1!==e&amp;&amp;n.forEach((n=&gt;{e===t[`active${n}`]?t[`active${n}`]=-1:e&lt;t[`active${n}`]&amp;&amp;(t[`active${n}`]-=1)})),o.removeArrayByIndex(e)),n.forEach((n=&gt;{const r=`active${n}`;e[`get${n}`]=()=&gt;e.getArrayByIndex(t[r]),e[`set${n}`]=t=&gt;e.setAttribute(t,n),e[`setActive${n}`]=t=&gt;e.setActiveAttributeByIndex(e.getArrayWithIndex(t).index,n),e[`copy${n}Off`]=()=&gt;{const e=n.toUpperCase();t.copyAttributeFlags[zs.PASSDATA][Ks[e]]=!1},e[`copy${n}On`]=()=&gt;{const e=n.toUpperCase();t.copyAttributeFlags[zs.PASSDATA][Ks[e]]=!0}})),e.initializeAttributeCopyFlags=()=&gt;{t.copyAttributeFlags=[],Object.keys(zs).filter((e=&gt;&quot;ALLCOPY&quot;!==e)).forEach((e=&gt;{t.copyAttributeFlags[zs[e]]=Object.keys(Ks).filter((e=&gt;&quot;NUM_ATTRIBUTES&quot;!==e)).reduce(((e,t)=&gt;(e[Ks[t]]=!0,e)),[])})),t.copyAttributeFlags[zs.COPYTUPLE][Ks.GLOBALIDS]=!1,t.copyAttributeFlags[zs.INTERPOLATE][Ks.GLOBALIDS]=!1,t.copyAttributeFlags[zs.COPYTUPLE][Ks.PEDIGREEIDS]=!1},e.initialize=sn.chain(e.initialize,e.initializeAttributeCopyFlags),t.dataArrays&amp;&amp;Object.keys(t.dataArrays).length&amp;&amp;Object.keys(t.dataArrays).forEach((n=&gt;{t.dataArrays[n].ref||&quot;vtkDataArray&quot;!==t.dataArrays[n].type||e.addArray(Is.newInstance(t.dataArrays[n]))}));const a=e.shallowCopy;e.shallowCopy=(e,n)=&gt;{a(e,n),t.arrays=e.getArrays().map((e=&gt;{const t=e.newClone();return t.shallowCopy(e,n),{data:t}}))},e.initializeAttributeCopyFlags()}(e,t)}var Xs={newInstance:sn.newInstance(js,&quot;vtkDataSetAttributes&quot;),extend:js,..._s};var qs={FieldDataTypes:{UNIFORM:0,DATA_OBJECT_FIELD:0,COORDINATE:1,POINT_DATA:1,POINT:2,POINT_FIELD_DATA:2,CELL:3,CELL_FIELD_DATA:3,VERTEX:4,VERTEX_FIELD_DATA:4,EDGE:5,EDGE_FIELD_DATA:5,ROW:6,ROW_DATA:6},FieldAssociations:{FIELD_ASSOCIATION_POINTS:0,FIELD_ASSOCIATION_CELLS:1,FIELD_ASSOCIATION_NONE:2,FIELD_ASSOCIATION_POINTS_THEN_CELLS:3,FIELD_ASSOCIATION_VERTICES:4,FIELD_ASSOCIATION_EDGES:5,FIELD_ASSOCIATION_ROWS:6,NUMBER_OF_ASSOCIATIONS:7}};const Ys=[&quot;pointData&quot;,&quot;cellData&quot;,&quot;fieldData&quot;];const Js={};function Zs(e,t,n={}){Object.assign(t,Js,n),sn.obj(e,t),sn.setGet(e,t,Ys),sn.getArray(e,t,[&quot;bounds&quot;],6),function(e,t){t.classHierarchy.push(&quot;vtkDataSet&quot;),Ys.forEach((e=&gt;{t[e]?t[e]=it(t[e]):t[e]=Xs.newInstance()})),e.computeBounds=()=&gt;{if(t.modifiedTime&amp;&amp;t.computeTime&amp;&amp;t.modifiedTime&gt;t.computeTime||!t.computeTime){const n=e.getPoints();n?.getNumberOfPoints()?Hi.setBounds(t.bounds,n.getBoundsByReference()):t.bounds=za.createUninitializedBounds(),t.computeTime=sn.getCurrentGlobalMTime()}},e.getLength2=()=&gt;{const t=e.getBoundsByReference();return t&amp;&amp;6===t.length?Hi.getDiagonalLength2(t):0},e.getLength=()=&gt;Math.sqrt(e.getLength2()),e.getCenter=()=&gt;{const t=e.getBoundsByReference();return t&amp;&amp;6===t.length?Hi.getCenter(t):[0,0,0]},e.getCellBounds=t=&gt;{const n=e.getCell(t);return n?n.getBounds():za.createUninitializedBounds()},e.getBounds=sn.chain((()=&gt;e.computeBounds),e.getBounds),e.getBoundsByReference=sn.chain((()=&gt;e.computeBounds),e.getBoundsByReference);const n=e.shallowCopy;e.shallowCopy=(e,r=!1)=&gt;{n(e,r),Ys.forEach((n=&gt;{t[n]=Xs.newInstance(),t[n].shallowCopy(e.getReferenceByName(n))}))};const r=e.getMTime;e.getMTime=()=&gt;Ys.reduce(((e,n)=&gt;Math.max(e,t[n]?.getMTime()??e)),r()),e.initialize=()=&gt;(Ys.forEach((e=&gt;t[e]?.initialize())),e)}(e,t)}var Qs={newInstance:sn.newInstance(Zs,&quot;vtkDataSet&quot;),extend:Zs,...qs};const $s={UNCHANGED:0,SINGLE_POINT:1,X_LINE:2,Y_LINE:3,Z_LINE:4,XY_PLANE:5,YZ_PLANE:6,XZ_PLANE:7,XYZ_GRID:8,EMPTY:9};var el={StructuredType:$s};const{StructuredType:tl}=el;var nl={getDataDescriptionFromExtent:function(e){let t=0;for(let n=0;n&lt;3;++n)e[2*n]&lt;e[2*n+1]&amp;&amp;t++;return e[0]&gt;e[1]||e[2]&gt;e[3]||e[4]&gt;e[5]?tl.EMPTY:3===t?tl.XYZ_GRID:2===t?e[0]===e[1]?tl.YZ_PLANE:e[2]===e[3]?tl.XZ_PLANE:tl.XY_PLANE:1===t?e[0]&lt;e[1]?tl.X_LINE:e[2]&lt;e[3]?tl.Y_LINE:tl.Z_LINE:tl.SINGLE_POINT},...el};const{vtkErrorMacro:rl}=sn;const ol={direction:null,indexToWorld:null,worldToIndex:null,spacing:[1,1,1],origin:[0,0,0],extent:[0,-1,0,-1,0,-1],dataDescription:$s.EMPTY};function al(e,t,n={}){Object.assign(t,ol,n),Qs.extend(e,t,n),t.direction?Array.isArray(t.direction)&amp;&amp;(t.direction=new Float64Array(t.direction.slice(0,9))):t.direction=c(new Float64Array(9)),t.indexToWorld=new Float64Array(16),t.worldToIndex=new Float64Array(16),sn.get(e,t,[&quot;indexToWorld&quot;,&quot;worldToIndex&quot;]),sn.setGetArray(e,t,[&quot;origin&quot;,&quot;spacing&quot;],3),sn.setGetArray(e,t,[&quot;direction&quot;],9),sn.getArray(e,t,[&quot;extent&quot;],6),function(e,t){t.classHierarchy.push(&quot;vtkImageData&quot;),e.setExtent=(...n)=&gt;{if(t.deleted)return rl(&quot;instance deleted - cannot call any method&quot;),!1;const r=1===n.length?n[0]:n;if(6!==r.length)return!1;const o=t.extent.some(((e,t)=&gt;e!==r[t]));return o&amp;&amp;(t.extent=r.slice(),t.dataDescription=nl.getDataDescriptionFromExtent(t.extent),e.modified()),o},e.setDimensions=(...n)=&gt;{let r,o,a;if(t.deleted)rl(&quot;instance deleted - cannot call any method&quot;);else{if(1===n.length){const e=n[0];r=e[0],o=e[1],a=e[2]}else{if(3!==n.length)return void rl(&quot;Bad dimension specification&quot;);r=n[0],o=n[1],a=n[2]}e.setExtent(0,r-1,0,o-1,0,a-1)}},e.getDimensions=()=&gt;[t.extent[1]-t.extent[0]+1,t.extent[3]-t.extent[2]+1,t.extent[5]-t.extent[4]+1],e.getNumberOfCells=()=&gt;{const t=e.getDimensions();let n=1;for(let e=0;e&lt;3;e++){if(0===t[e])return 0;t[e]&gt;1&amp;&amp;(n*=t[e]-1)}return n},e.getNumberOfPoints=()=&gt;{const t=e.getDimensions();return t[0]*t[1]*t[2]},e.getPoint=n=&gt;{const r=e.getDimensions();if(0===r[0]||0===r[1]||0===r[2])return rl(&quot;Requesting a point from an empty image.&quot;),null;const o=new Float64Array(3);switch(t.dataDescription){case $s.EMPTY:return null;case $s.SINGLE_POINT:break;case $s.X_LINE:o[0]=n;break;case $s.Y_LINE:o[1]=n;break;case $s.Z_LINE:o[2]=n;break;case $s.XY_PLANE:o[0]=n%r[0],o[1]=n/r[0];break;case $s.YZ_PLANE:o[1]=n%r[1],o[2]=n/r[1];break;case $s.XZ_PLANE:o[0]=n%r[0],o[2]=n/r[0];break;case $s.XYZ_GRID:o[0]=n%r[0],o[1]=n/r[0]%r[1],o[2]=n/(r[0]*r[1]);break;default:rl(&quot;Invalid dataDescription&quot;)}const a=[0,0,0];return e.indexToWorld(o,a),a},e.getBounds=()=&gt;e.extentToBounds(e.getSpatialExtent()),e.extentToBounds=e=&gt;Hi.transformBounds(e,t.indexToWorld),e.getSpatialExtent=()=&gt;Hi.inflate([...t.extent],.5),e.computeTransforms=()=&gt;{R(t.indexToWorld,t.origin),t.indexToWorld[0]=t.direction[0],t.indexToWorld[1]=t.direction[1],t.indexToWorld[2]=t.direction[2],t.indexToWorld[4]=t.direction[3],t.indexToWorld[5]=t.direction[4],t.indexToWorld[6]=t.direction[5],t.indexToWorld[8]=t.direction[6],t.indexToWorld[9]=t.direction[7],t.indexToWorld[10]=t.direction[8],S(t.indexToWorld,t.indexToWorld,t.spacing),b(t.worldToIndex,t.indexToWorld)},e.indexToWorld=(e,n=[])=&gt;(oe(n,e,t.indexToWorld),n),e.indexToWorldVec3=e.indexToWorld,e.worldToIndex=(e,n=[])=&gt;(oe(n,e,t.worldToIndex),n),e.worldToIndexVec3=e.worldToIndex,e.indexToWorldBounds=(e,n=[])=&gt;Hi.transformBounds(e,t.indexToWorld,n),e.worldToIndexBounds=(e,n=[])=&gt;Hi.transformBounds(e,t.worldToIndex,n),t._onOriginChanged=e.computeTransforms,t._onDirectionChanged=e.computeTransforms,t._onSpacingChanged=e.computeTransforms,e.computeTransforms(),e.getCenter=()=&gt;Hi.getCenter(e.getBounds()),e.computeHistogram=(t,n=null)=&gt;{const r=[0,0,0,0,0,0];e.worldToIndexBounds(t,r);const o=[0,0,0],a=[0,0,0];Hi.computeCornerPoints(r,o,a),ca(o,o),ca(a,a);const i=e.getDimensions();Ma(o,[0,0,0],[i[0]-1,i[1]-1,i[2]-1],o),Ma(a,[0,0,0],[i[0]-1,i[1]-1,i[2]-1],a);const s=i[0],l=i[0]*i[1],c=e.getPointData().getScalars().getData();let u=-1/0,d=1/0,p=0,f=0,g=0;for(let e=o[2];e&lt;=a[2];e++)for(let t=o[1];t&lt;=a[1];t++){let i=o[0]+t*s+e*l;for(let s=o[0];s&lt;=a[0];s++){if(!n||n([s,t,e],r)){const e=c[i];e&gt;u&amp;&amp;(u=e),e&lt;d&amp;&amp;(d=e),p+=e*e,f+=e,g+=1}++i}}const m=g&gt;0?f/g:0,h=g?Math.abs(p/g-m*m):0;return{minimum:d,maximum:u,average:m,variance:h,sigma:Math.sqrt(h),count:g}},e.computeIncrements=(e,t=1)=&gt;{const n=[];let r=t;for(let t=0;t&lt;3;++t)n[t]=r,r*=e[2*t+1]-e[2*t]+1;return n},e.computeOffsetIndex=([t,n,r])=&gt;{const o=e.getExtent(),a=e.getPointData().getScalars().getNumberOfComponents(),i=e.computeIncrements(o,a);return Math.floor((Math.round(t)-o[0])*i[0]+(Math.round(n)-o[2])*i[1]+(Math.round(r)-o[4])*i[2])},e.getOffsetIndexFromWorld=t=&gt;{const n=e.getExtent(),r=e.worldToIndex(t);for(let e=0;e&lt;3;++e)if(r[e]&lt;n[2*e]||r[e]&gt;n[2*e+1])return rl(`GetScalarPointer: Pixel ${r} is not in memory. Current extent = ${n}`),NaN;return e.computeOffsetIndex(r)},e.getScalarValueFromWorld=(t,n=0)=&gt;{const r=e.getPointData().getScalars().getNumberOfComponents();if(n&lt;0||n&gt;=r)return rl(`GetScalarPointer: Scalar Component ${n} is not within bounds. Current Scalar numberOfComponents: ${r}`),NaN;const o=e.getOffsetIndexFromWorld(t);return Number.isNaN(o)?o:e.getPointData().getScalars().getComponent(o,n)};const n=e.initialize;e.initialize=()=&gt;(e.set({direction:c(t.direction),spacing:[1,1,1],origin:[0,0,0],extent:[0,-1,0,-1,0,-1],dataDescription:$s.EMPTY}),n())}(e,t)}var il={newInstance:sn.newInstance(al,&quot;vtkImageData&quot;),extend:al};const sl={LUMINANCE:1,LUMINANCE_ALPHA:2,RGB:3,RGBA:4};var ll={VectorMode:{MAGNITUDE:0,COMPONENT:1,RGBCOLORS:2},ScalarMappingTarget:sl,Scale:{LINEAR:0,LOG10:1}};var cl={ColorMode:{DEFAULT:0,MAP_SCALARS:1,DIRECT_SCALARS:2},GetArray:{BY_ID:0,BY_NAME:1},ScalarMode:{DEFAULT:0,USE_POINT_DATA:1,USE_CELL_DATA:2,USE_POINT_FIELD_DATA:3,USE_CELL_FIELD_DATA:4,USE_FIELD_DATA:5}};const{ScalarMappingTarget:ul,Scale:dl,VectorMode:pl}=ll,{VtkDataTypes:fl}=Is,{ColorMode:gl}=cl,{vtkErrorMacro:ml}=sn;function hl(e){return e}function vl(e){return Math.floor(255*e+.5)}const Tl={alpha:1,vectorComponent:0,vectorSize:-1,vectorMode:pl.COMPONENT,mappingRange:null,annotationArray:null,annotatedValueMap:null,indexedLookup:!1,scale:dl.LINEAR};function xl(e,t,n={}){Object.assign(t,Tl,n),sn.obj(e,t),t.mappingRange=[0,255],t.annotationArray=[],t.annotatedValueMap=[],sn.setGet(e,t,[&quot;vectorSize&quot;,&quot;vectorComponent&quot;,&quot;vectorMode&quot;,&quot;alpha&quot;,&quot;indexedLookup&quot;]),sn.setArray(e,t,[&quot;mappingRange&quot;],2),sn.getArray(e,t,[&quot;mappingRange&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkScalarsToColors&quot;),e.setVectorModeToMagnitude=()=&gt;e.setVectorMode(pl.MAGNITUDE),e.setVectorModeToComponent=()=&gt;e.setVectorMode(pl.COMPONENT),e.setVectorModeToRGBColors=()=&gt;e.setVectorMode(pl.RGBCOLORS),e.build=()=&gt;{},e.isOpaque=()=&gt;!0,e.setAnnotations=(n,r)=&gt;{if(!(n&amp;&amp;!r||!n&amp;&amp;r))if(n&amp;&amp;r&amp;&amp;n.length!==r.length)ml(&quot;Values and annotations do not have the same number of tuples so ignoring&quot;);else{if(t.annotationArray=[],r&amp;&amp;n){const e=r.length;for(let o=0;o&lt;e;o++)t.annotationArray.push({value:n[o],annotation:String(r[o])})}e.updateAnnotatedValueMap(),e.modified()}},e.setAnnotation=(n,r)=&gt;{let o=e.checkForAnnotatedValue(n),a=!1;return o&gt;=0?t.annotationArray[o].annotation!==r&amp;&amp;(t.annotationArray[o].annotation=r,a=!0):(t.annotationArray.push({value:n,annotation:r}),o=t.annotationArray.length-1,a=!0),a&amp;&amp;(e.updateAnnotatedValueMap(),e.modified()),o},e.getNumberOfAnnotatedValues=()=&gt;t.annotationArray.length,e.getAnnotatedValue=e=&gt;e&lt;0||e&gt;=t.annotationArray.length?null:t.annotationArray[e].value,e.getAnnotation=e=&gt;void 0===t.annotationArray[e]?null:t.annotationArray[e].annotation,e.getAnnotatedValueIndex=n=&gt;t.annotationArray.length?e.checkForAnnotatedValue(n):-1,e.removeAnnotation=n=&gt;{const r=e.checkForAnnotatedValue(n),o=r&gt;=0;return o&amp;&amp;(t.annotationArray.splice(r,1),e.updateAnnotatedValueMap(),e.modified()),o},e.resetAnnotations=()=&gt;{t.annotationArray=[],t.annotatedValueMap=[],e.modified()},e.getAnnotationColor=(n,r)=&gt;{if(t.indexedLookup){const t=e.getAnnotatedValueIndex(n);e.getIndexedColor(t,r)}else e.getColor(parseFloat(n),r),r[3]=1},e.checkForAnnotatedValue=t=&gt;e.getAnnotatedValueIndexInternal(t),e.getAnnotatedValueIndexInternal=e=&gt;{if(void 0!==t.annotatedValueMap[e]){const n=t.annotationArray.length;return t.annotatedValueMap[e]%n}return-1},e.getIndexedColor=(e,t)=&gt;{t[0]=0,t[1]=0,t[2]=0,t[3]=0},e.updateAnnotatedValueMap=()=&gt;{t.annotatedValueMap=[];const e=t.annotationArray.length;for(let n=0;n&lt;e;n++)t.annotatedValueMap[t.annotationArray[n].value]=n},e.mapScalars=(t,n,r)=&gt;{const o=t.getNumberOfComponents();let a=null;if(n===gl.DEFAULT&amp;&amp;(t.getDataType()===fl.UNSIGNED_CHAR||t.getDataType()===fl.UNSIGNED_CHAR_CLAMPED)||n===gl.DIRECT_SCALARS&amp;&amp;t)a=e.convertToRGBA(t,o,t.getNumberOfTuples());else{const n={type:&quot;vtkDataArray&quot;,name:&quot;temp&quot;,numberOfComponents:4,dataType:fl.UNSIGNED_CHAR},i=sn.newTypedArray(n.dataType,4*t.getNumberOfTuples());n.values=i,n.size=i.length,a=Is.newInstance(n);let s=r;s&lt;0&amp;&amp;o&gt;1?e.mapVectorsThroughTable(t,a,ul.RGBA,-1,-1):(s&lt;0&amp;&amp;(s=0),s&gt;=o&amp;&amp;(s=o-1),e.mapScalarsThroughTable(t,a,ul.RGBA,s))}return a},e.mapVectorsToMagnitude=(e,t,n)=&gt;{const r=e.getNumberOfTuples(),o=e.getNumberOfComponents(),a=t.getData(),i=e.getData();for(let e=0;e&lt;r;e++){let t=0;for(let r=0;r&lt;n;r++)t+=i[e*o+r]*i[e*o+r];a[e]=Math.sqrt(t)}},e.mapVectorsThroughTable=(t,n,r,o,a)=&gt;{let i=e.getVectorMode(),s=a,l=o;const c=t.getNumberOfComponents();i===pl.COMPONENT?(-1===l&amp;&amp;(l=e.getVectorComponent()),l&lt;0&amp;&amp;(l=0),l&gt;=c&amp;&amp;(l=c-1)):(-1===s&amp;&amp;(s=e.getVectorSize()),s&lt;=0?(l=0,s=c):(l&lt;0&amp;&amp;(l=0),l&gt;=c&amp;&amp;(l=c-1),l+s&gt;c&amp;&amp;(s=c-l)),i!==pl.MAGNITUDE||1!==c&amp;&amp;1!==s||(i=pl.COMPONENT));let u=0;switch(l&gt;0&amp;&amp;(u=l),i){case pl.COMPONENT:e.mapScalarsThroughTable(t,n,r,u);break;case pl.RGBCOLORS:break;case pl.MAGNITUDE:default:{const o=Is.newInstance({numberOfComponents:1,values:new Float32Array(t.getNumberOfTuples())});e.mapVectorsToMagnitude(t,o,s),e.mapScalarsThroughTable(o,n,r,0);break}}},e.luminanceToRGBA=(e,t,n,r)=&gt;{const o=r(n),a=t.getData(),i=e.getData(),s=a.length;let l=0;for(let e=0;e&lt;s;e+=1){const t=r(a[e]);i[4*l]=t,i[4*l+1]=t,i[4*l+2]=t,i[4*l+3]=o,l++}},e.luminanceAlphaToRGBA=(e,t,n,r)=&gt;{const o=t.getData(),a=e.getData(),i=o.length;let s=0;for(let e=0;e&lt;i;e+=2){const t=r(o[e]);a[s]=t,a[s+1]=t,a[s+2]=t,a[s+3]=r(o[e+1])*n,s+=4}},e.rGBToRGBA=(e,t,n,r)=&gt;{const o=vl(n),a=t.getData(),i=e.getData(),s=a.length;let l=0;for(let e=0;e&lt;s;e+=3)i[4*l]=r(a[e]),i[4*l+1]=r(a[e+1]),i[4*l+2]=r(a[e+2]),i[4*l+3]=o,l++},e.rGBAToRGBA=(e,t,n,r)=&gt;{const o=t.getData(),a=e.getData(),i=o.length;let s=0;for(let e=0;e&lt;i;e+=4)a[4*s]=r(o[e]),a[4*s+1]=r(o[e+1]),a[4*s+2]=r(o[e+2]),a[4*s+3]=r(o[e+3])*n,s++},e.convertToRGBA=(n,r,o)=&gt;{let{alpha:a}=t;if(4===r&amp;&amp;a&gt;=1&amp;&amp;n.getDataType()===fl.UNSIGNED_CHAR)return n;const i=Is.newInstance({numberOfComponents:4,empty:!0,size:4*o,dataType:fl.UNSIGNED_CHAR});if(o&lt;=0)return i;a=a&gt;0?a:0,a=a&lt;1?a:1;let s=hl;switch(n.getDataType()!==fl.FLOAT&amp;&amp;n.getDataType()!==fl.DOUBLE||(s=vl),r){case 1:e.luminanceToRGBA(i,n,a,s);break;case 2:e.luminanceAlphaToRGBA(i,n,s);break;case 3:e.rGBToRGBA(i,n,a,s);break;case 4:e.rGBAToRGBA(i,n,a,s);break;default:return ml(&quot;Cannot convert colors&quot;),null}return i},e.usingLogScale=()=&gt;!1,e.getNumberOfAvailableColors=()=&gt;16777216,e.setRange=(t,n)=&gt;e.setMappingRange(t,n),e.getRange=()=&gt;e.getMappingRange(),e.areScalarsOpaque=(n,r,o)=&gt;{if(!n)return e.isOpaque();const a=n.getNumberOfComponents();return(r!==gl.DEFAULT||n.getDataType()!==fl.UNSIGNED_CHAR)&amp;&amp;r!==gl.DIRECT_SCALARS||(3===a||1===a?t.alpha&gt;=1:255===n.getRange(a-1)[0])}}(e,t)}var yl={newInstance:sn.newInstance(xl,&quot;vtkScalarsToColors&quot;),extend:xl,...ll};const{vtkErrorMacro:bl}=sn;const Al={numberOfColors:256,hueRange:[0,.66667],saturationRange:[1,1],valueRange:[1,1],alphaRange:[1,1],nanColor:[.5,0,0,1],belowRangeColor:[0,0,0,1],aboveRangeColor:[1,1,1,1],useAboveRangeColor:!1,useBelowRangeColor:!1,alpha:1};function Cl(e,t,n={}){Object.assign(t,Al,n),yl.extend(e,t,n),t.table||(t.table=[]),t.buildTime={},sn.obj(t.buildTime),t.opaqueFlagBuildTime={},sn.obj(t.opaqueFlagBuildTime,{mtime:0}),t.insertTime={},sn.obj(t.insertTime,{mtime:0}),sn.get(e,t,[&quot;buildTime&quot;]),sn.setGet(e,t,[&quot;numberOfColors&quot;,&quot;useAboveRangeColor&quot;,&quot;useBelowRangeColor&quot;]),sn.setArray(e,t,[&quot;alphaRange&quot;,&quot;hueRange&quot;,&quot;saturationRange&quot;,&quot;valueRange&quot;],2),sn.setArray(e,t,[&quot;nanColor&quot;,&quot;belowRangeColor&quot;,&quot;aboveRangeColor&quot;],4),sn.getArray(e,t,[&quot;hueRange&quot;,&quot;saturationRange&quot;,&quot;valueRange&quot;,&quot;alphaRange&quot;,&quot;nanColor&quot;,&quot;belowRangeColor&quot;,&quot;aboveRangeColor&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkLookupTable&quot;),e.isOpaque=()=&gt;{if(t.opaqueFlagBuildTime.getMTime()&lt;e.getMTime()){let e=!0;t.nanColor[3]&lt;1&amp;&amp;(e=0),t.useBelowRangeColor&amp;&amp;t.belowRangeColor[3]&lt;1&amp;&amp;(e=0),t.useAboveRangeColor&amp;&amp;t.aboveRangeColor[3]&lt;1&amp;&amp;(e=0);for(let n=3;n&lt;t.table.length&amp;&amp;e;n+=4)t.table[n]&lt;255&amp;&amp;(e=!1);t.opaqueFlag=e,t.opaqueFlagBuildTime.modified()}return t.opaqueFlag},e.usingLogScale=()=&gt;!1,e.getNumberOfAvailableColors=()=&gt;t.table.length/4-3,e.linearIndexLookup=(e,t)=&gt;{let n=0;const r=Number(e);return r&lt;t.range[0]?n=t.maxIndex+0+1.5:r&gt;t.range[1]?n=t.maxIndex+1+1.5:(n=(r+t.shift)*t.scale,n=n&lt;t.maxIndex?n:t.maxIndex),Math.floor(n)},e.linearLookup=(t,n,r)=&gt;{let o=0;o=ka(t)?Math.floor(r.maxIndex+1.5+2):e.linearIndexLookup(t,r);const a=4*o;return n.slice(a,a+4)},e.indexedLookupFunction=(n,r,o)=&gt;{let a=e.getAnnotatedValueIndexInternal(n);-1===a&amp;&amp;(a=t.numberOfColors+2);const i=4*a;return[r[i],r[i+1],r[i+2],r[i+3]]},e.lookupShiftAndScale=(e,t)=&gt;{t.shift=-e[0],t.scale=Number.MAX_VALUE,e[1]&gt;e[0]&amp;&amp;(t.scale=(t.maxIndex+1)/(e[1]-e[0]))},e.mapScalarsThroughTable=(n,r,o,a)=&gt;{let i=e.linearLookup;t.indexedLookup&amp;&amp;(i=e.indexedLookupFunction);const s=e.getMappingRange(),l={maxIndex:e.getNumberOfColors()-1,range:s,shift:0,scale:0};e.lookupShiftAndScale(s,l);const c=e.getAlpha(),u=n.getNumberOfTuples(),d=n.getNumberOfComponents(),p=r.getData(),f=n.getData();if(c&gt;=1){if(o===sl.RGBA)for(let e=0;e&lt;u;e++){const n=i(f[e*d+a],t.table,l);p[4*e]=n[0],p[4*e+1]=n[1],p[4*e+2]=n[2],p[4*e+3]=n[3]}}else if(o===sl.RGBA)for(let e=0;e&lt;u;e++){const n=i(f[e*d+a],t.table,l);p[4*e]=n[0],p[4*e+1]=n[1],p[4*e+2]=n[2],p[4*e+3]=Math.floor(n[3]*c+.5)}},e.forceBuild=()=&gt;{let n=0,r=0,o=0,a=0;const i=t.numberOfColors-1;i&amp;&amp;(n=(t.hueRange[1]-t.hueRange[0])/i,r=(t.saturationRange[1]-t.saturationRange[0])/i,o=(t.valueRange[1]-t.valueRange[0])/i,a=(t.alphaRange[1]-t.alphaRange[0])/i),t.table.length=4*i+16;const s=[],l=[];for(let e=0;e&lt;=i;e++)s[0]=t.hueRange[0]+e*n,s[1]=t.saturationRange[0]+e*r,s[2]=t.valueRange[0]+e*o,ya(s,l),l[3]=t.alphaRange[0]+e*a,t.table[4*e]=255*l[0]+.5,t.table[4*e+1]=255*l[1]+.5,t.table[4*e+2]=255*l[2]+.5,t.table[4*e+3]=255*l[3]+.5;e.buildSpecialColors(),t.buildTime.modified()},e.setTable=n=&gt;{if(Array.isArray(n)){const r=n[0].length;t.numberOfColors=n.length;const o=4-r;let a=0;for(let e=0;e&lt;t.numberOfColors;e++)t.table[4*e]=255,t.table[4*e+1]=255,t.table[4*e+2]=255,t.table[4*e+3]=255;for(let e=0;e&lt;n.length;e++){const i=n[e];for(let e=0;e&lt;r;e++)t.table[a++]=i[e];a+=o}return e.buildSpecialColors(),t.insertTime.modified(),e.modified(),!0}if(4!==n.getNumberOfComponents())return bl(&quot;Expected 4 components for RGBA colors&quot;),!1;if(n.getDataType()!==ms.UNSIGNED_CHAR)return bl(&quot;Expected unsigned char values for RGBA colors&quot;),!1;t.numberOfColors=n.getNumberOfTuples();const r=n.getData();t.table.length=r.length;for(let e=0;e&lt;r.length;e++)t.table[e]=r[e];return e.buildSpecialColors(),t.insertTime.modified(),e.modified(),!0},e.buildSpecialColors=()=&gt;{const{numberOfColors:e}=t,n=t.table;let r=4*(e+0);t.useBelowRangeColor||0===e?(n[r]=255*t.belowRangeColor[0]+.5,n[r+1]=255*t.belowRangeColor[1]+.5,n[r+2]=255*t.belowRangeColor[2]+.5,n[r+3]=255*t.belowRangeColor[3]+.5):(n[r]=n[0],n[r+1]=n[1],n[r+2]=n[2],n[r+3]=n[3]),r=4*(e+1),t.useAboveRangeColor||0===e?(n[r]=255*t.aboveRangeColor[0]+.5,n[r+1]=255*t.aboveRangeColor[1]+.5,n[r+2]=255*t.aboveRangeColor[2]+.5,n[r+3]=255*t.aboveRangeColor[3]+.5):(n[r]=n[4*(e-1)+0],n[r+1]=n[4*(e-1)+1],n[r+2]=n[4*(e-1)+2],n[r+3]=n[4*(e-1)+3]),r=4*(e+2),n[r]=255*t.nanColor[0]+.5,n[r+1]=255*t.nanColor[1]+.5,n[r+2]=255*t.nanColor[2]+.5,n[r+3]=255*t.nanColor[3]+.5},e.build=()=&gt;{(t.table.length&lt;1||e.getMTime()&gt;t.buildTime.getMTime()&amp;&amp;t.insertTime.getMTime()&lt;=t.buildTime.getMTime())&amp;&amp;e.forceBuild()},t.table.length&gt;0&amp;&amp;(e.buildSpecialColors(),t.insertTime.modified())}(e,t)}var Sl={newInstance:sn.newInstance(Cl,&quot;vtkLookupTable&quot;),extend:Cl};const Pl={Off:0,PolygonOffset:1};let wl=Pl.PolygonOffset,Il=Pl.Off;const Ol=[&quot;VTK_RESOLVE_OFF&quot;,&quot;VTK_RESOLVE_POLYGON_OFFSET&quot;];function Rl(e=0){const t=Il===e;return Il=e,t}var Ml={Resolve:Pl,getResolveCoincidentTopologyAsString:function(){return Ol[Il]},getResolveCoincidentTopologyPolygonOffsetFaces:function(){return wl},getResolveCoincidentTopology:function(){return Il},setResolveCoincidentTopology:Rl,setResolveCoincidentTopologyPolygonOffsetFaces:function(e){const t=wl===e;return wl=e,t},setResolveCoincidentTopologyToDefault:function(){return Rl(Pl.Off)},setResolveCoincidentTopologyToOff:function(){return Rl(Pl.Off)},setResolveCoincidentTopologyToPolygonOffset:function(){return Rl(Pl.PolygonOffset)}};function Dl(e,t,n){n.forEach((n=&gt;{e[`get${n.method}`]=()=&gt;t[n.key],e[`set${n.method}`]=sn.objectSetterMap.object(e,t,{name:n.key,params:[&quot;factor&quot;,&quot;offset&quot;]})}))}const El=[&quot;Polygon&quot;,&quot;Line&quot;,&quot;Point&quot;],Vl={modified:()=&gt;{}};Dl(Vl,{Polygon:{factor:2,offset:0},Line:{factor:1,offset:-1},Point:{factor:0,offset:-2}},El.map((e=&gt;({key:e,method:`ResolveCoincidentTopology${e}OffsetParameters`}))));var Ll={implementCoincidentTopologyMethods:function(e,t){void 0===t.resolveCoincidentTopology&amp;&amp;(t.resolveCoincidentTopology=!1),sn.setGet(e,t,[&quot;resolveCoincidentTopology&quot;]),t.topologyOffset={Polygon:{factor:0,offset:0},Line:{factor:0,offset:0},Point:{factor:0,offset:0}},Object.keys(Ml).forEach((t=&gt;{e[t]=Ml[t]})),Object.keys(Vl).filter((e=&gt;&quot;modified&quot;!==e)).forEach((t=&gt;{e[t]=Vl[t]})),Dl(e,t.topologyOffset,El.map((e=&gt;({key:e,method:`RelativeCoincidentTopology${e}OffsetParameters`})))),e.getCoincidentTopologyPolygonOffsetParameters=()=&gt;{const t=Vl.getResolveCoincidentTopologyPolygonOffsetParameters(),n=e.getRelativeCoincidentTopologyPolygonOffsetParameters();return{factor:t.factor+n.factor,offset:t.offset+n.offset}},e.getCoincidentTopologyLineOffsetParameters=()=&gt;{const t=Vl.getResolveCoincidentTopologyLineOffsetParameters(),n=e.getRelativeCoincidentTopologyLineOffsetParameters();return{factor:t.factor+n.factor,offset:t.offset+n.offset}},e.getCoincidentTopologyPointOffsetParameter=()=&gt;{const t=Vl.getResolveCoincidentTopologyPointOffsetParameters(),n=e.getRelativeCoincidentTopologyPointOffsetParameters();return{factor:t.factor+n.factor,offset:t.offset+n.offset}}},staticOffsetAPI:Vl,otherStaticMethods:Ml,CATEGORIES:El,Resolve:Pl};const Bl={MIN_KNOWN_PASS:0,ACTOR_PASS:0,COMPOSITE_INDEX_PASS:1,ID_LOW24:2,ID_HIGH24:3,MAX_KNOWN_PASS:3};var Fl={PassTypes:Bl};const{FieldAssociations:Nl}=Qs,{staticOffsetAPI:kl,otherStaticMethods:Gl}=Ll,{ColorMode:Ul,ScalarMode:_l,GetArray:Kl}=cl,{VectorMode:zl}=ll,{VtkDataTypes:Wl}=Is;function Hl(e){return()=&gt;sn.vtkErrorMacro(`vtkMapper::${e} - NOT IMPLEMENTED`)}function jl(e,t){const n=e[1]%2==0?1:-1;if(e[0]+=n,e[0]&gt;=t[0]||e[0]&lt;0){const r=e[2]%2==0?1:-1;e[0]-=n,e[1]+=r,(e[1]&gt;=t[1]||e[1]&lt;0)&amp;&amp;(e[1]-=r,e[2]++)}}function Xl(e,t,n){const r=Math.floor(t),o=r%(2*n[0]);let a,i;o&lt;n[0]?(e[0]=o,a=1,i=e[0]===n[0]-1):(e[0]=2*n[0]-1-o,a=-1,i=0===e[0]);const s=Math.floor(r/n[0]),l=s%(2*n[1]);let c,u;l&lt;n[1]?(e[1]=l,c=1,u=e[1]===n[1]-1):(e[1]=2*n[1]-1-l,c=-1,u=0===e[1]),e[2]=Math.floor(s/n[1]);const d=t-r;i?u?e[2]+=d:e[1]+=c*d:e[0]+=a*d,e[0]=(e[0]+.5)/n[0],e[1]=(e[1]+.5)/n[1],e[2]=(e[2]+.5)/n[2]}const ql=new WeakMap;function Yl(e,t){t.classHierarchy.push(&quot;vtkMapper&quot;),e.computeBounds=()=&gt;{const n=e.getInputData();n?(t.static||e.update(),Hi.setBounds(t.bounds,n.getBounds())):Hi.reset(t.bounds)},e.setForceCompileOnly=e=&gt;{t.forceCompileOnly=e},e.setSelectionWebGLIdsToVTKIds=e=&gt;{t.selectionWebGLIdsToVTKIds=e},e.createDefaultLookupTable=()=&gt;{t.lookupTable=Sl.newInstance()},e.getColorModeAsString=()=&gt;sn.enumToString(Ul,t.colorMode),e.setColorModeToDefault=()=&gt;e.setColorMode(0),e.setColorModeToMapScalars=()=&gt;e.setColorMode(1),e.setColorModeToDirectScalars=()=&gt;e.setColorMode(2),e.getScalarModeAsString=()=&gt;sn.enumToString(_l,t.scalarMode),e.setScalarModeToDefault=()=&gt;e.setScalarMode(0),e.setScalarModeToUsePointData=()=&gt;e.setScalarMode(1),e.setScalarModeToUseCellData=()=&gt;e.setScalarMode(2),e.setScalarModeToUsePointFieldData=()=&gt;e.setScalarMode(3),e.setScalarModeToUseCellFieldData=()=&gt;e.setScalarMode(4),e.setScalarModeToUseFieldData=()=&gt;e.setScalarMode(5),e.getAbstractScalars=(e,n,r,o,a)=&gt;{if(!e||!t.scalarVisibility)return{scalars:null,cellFlag:!1};let i=null,s=!1;if(n===_l.DEFAULT)i=e.getPointData().getScalars(),i||(i=e.getCellData().getScalars(),s=!0);else if(n===_l.USE_POINT_DATA)i=e.getPointData().getScalars();else if(n===_l.USE_CELL_DATA)i=e.getCellData().getScalars(),s=!0;else if(n===_l.USE_POINT_FIELD_DATA){const t=e.getPointData();i=r===Kl.BY_ID?t.getArrayByIndex(o):t.getArrayByName(a)}else if(n===_l.USE_CELL_FIELD_DATA){const t=e.getCellData();s=!0,i=r===Kl.BY_ID?t.getArrayByIndex(o):t.getArrayByName(a)}else if(n===_l.USE_FIELD_DATA){const t=e.getFieldData();i=r===Kl.BY_ID?t.getArrayByIndex(o):t.getArrayByName(a)}return{scalars:i,cellFlag:s}},e.mapScalars=(n,r)=&gt;{const{scalars:o,cellFlag:a}=e.getAbstractScalars(n,t.scalarMode,t.arrayAccessMode,t.arrayId,t.colorByArrayName);if(t.areScalarsMappedFromCells=a,!o)return t.colorCoordinates=null,t.colorTextureMap=null,void(t.colorMapColors=null);const i=`${e.getMTime()}${o.getMTime()}${r}`;if(t.colorBuildString!==i){if(t.useLookupTableScalarRange||e.getLookupTable().setRange(t.scalarRange[0],t.scalarRange[1]),e.canUseTextureMapForColoring(o,a))t.mapScalarsToTexture(o,a,r);else{t.colorCoordinates=null,t.colorTextureMap=null;const n=e.getLookupTable();n&amp;&amp;(n.build(),t.colorMapColors=n.mapScalars(o,t.colorMode,t.fieldDataTupleId))}t.colorBuildString=`${e.getMTime()}${o.getMTime()}${r}`}},t.mapScalarsToTexture=(n,r,o)=&gt;{const a=t.lookupTable.getRange(),i=t.lookupTable.usingLogScale(),s=t.lookupTable.getAlpha(),l=i?[Math.log10(a[0]),Math.log10(a[1])]:a;if(t.colorMapColors=null,null==t.colorTextureMap||e.getMTime()&gt;t.colorTextureMap.getMTime()||t.lookupTable.getMTime()&gt;t.colorTextureMap.getMTime()||t.lookupTable.getAlpha()!==o){t.lookupTable.setAlpha(o),t.colorTextureMap=null,t.lookupTable.build();const e=t.lookupTable.getNumberOfAvailableColors(),n=2048,a=2,d=r?n**3-3:4096-2;t.numberOfColorsInRange=Math.min(Math.max(e,a),d);const p=t.numberOfColorsInRange+3,f=t.numberOfColorsInRange+2,g=r?[Math.min(Math.ceil(p/n**0),n),Math.min(Math.ceil(p/n**1),n),Math.min(Math.ceil(p/n**2),n)]:[f,2,1],m=g[0]*g[1]*g[2],h=new Float64Array(m);h.fill(NaN);const v=t.numberOfColorsInRange,T=v+2,x=[0,0,0],y=l[0],b=l[1]-l[0];for(let e=0;e&lt;T;++e){const t=y+b*(e-1)/(v-1),n=i?10**t:t;h[(u=g,(c=x)[0]+u[0]*(c[1]+u[1]*c[2]))]=n,jl(x,g)}const A=Is.newInstance({numberOfComponents:1,values:h}),C=t.lookupTable.mapScalars(A,t.colorMode,0);t.colorTextureMap=il.newInstance(),t.colorTextureMap.setDimensions(g),t.colorTextureMap.getPointData().setScalars(C),t.lookupTable.setAlpha(s)}var c,u;const d=t.lookupTable.getVectorMode()===zl.MAGNITUDE&amp;&amp;n.getNumberOfComponents()&gt;1?-1:t.lookupTable.getVectorComponent();t.colorCoordinates=function(e,t,n,r,o,a,i){const s=new Array(arguments.length);for(let e=0;e&lt;arguments.length;++e){const t=arguments[e];s[e]=t.getMTime?.()??t}const l=s.join(&quot;/&quot;),c=ql.get(e);if(c&amp;&amp;c.stringHash===l)return c.textureCoordinates;const u=(n[1]-n[0])/(o-1),[d,p]=[n[0]-u,n[1]+u],f=d-.5*u,g=1/(p-d+u),m=d,h=(o+1)/(p-d),v=e.getData(),T=e.getNumberOfTuples(),x=e.getNumberOfComponents(),y=t&lt;0||t&gt;=x,b=a[2]&lt;=1?2:3,A=Is.newInstance({numberOfComponents:b,values:new Float32Array(T*b)}),C=A.getData(),S=[0,0,0];Xl(S,o+2,a);let P=0,w=0;const I=[.5,.5,.5];for(let e=0;e&lt;T;++e){let e;if(y){let t=0;for(let e=0;e&lt;x;++e){const n=Number(v[P+e]);t+=n*n}e=Math.sqrt(t)}else e=Number(v[P+t]);if(r&amp;&amp;(e=Math.log10(e)),P+=x,ka(e))I[0]=S[0],I[1]=S[1],I[2]=S[2];else if(i){let t=(e-m)*h;t&lt;1?t=0:t&gt;o&amp;&amp;(t=o+1),Xl(I,t,a)}else{I[1]=.49;const t=(e-f)*g;I[0]=t&gt;1e3?1e3:t&lt;-1e3?-1e3:t}for(let e=0;e&lt;b;++e)C[w++]=I[e]}return ql.set(e,{stringHash:l,textureCoordinates:A}),A}(n,d,l,i,t.numberOfColorsInRange,t.colorTextureMap.getDimensions(),r)},e.getIsOpaque=()=&gt;{const n=e.getInputData(),r=e.getAbstractScalars(n,t.scalarMode,t.arrayAccessMode,t.arrayId,t.colorByArrayName).scalars;if(!t.scalarVisibility||null==r)return!0;const o=e.getLookupTable();return!o||(o.build(),o.areScalarsOpaque(r,t.colorMode,-1))},e.canUseTextureMapForColoring=(e,n)=&gt;!(!n||t.colorMode===Ul.DIRECT_SCALARS)||!!t.interpolateScalarsBeforeMapping&amp;&amp;((!t.lookupTable||!t.lookupTable.getIndexedLookup())&amp;&amp;(!!e&amp;&amp;((t.colorMode!==Ul.DEFAULT||e.getDataType()!==Wl.UNSIGNED_CHAR)&amp;&amp;t.colorMode!==Ul.DIRECT_SCALARS))),e.clearColorArrays=()=&gt;{t.colorMapColors=null,t.colorCoordinates=null,t.colorTextureMap=null},e.getLookupTable=()=&gt;(t.lookupTable||e.createDefaultLookupTable(),t.lookupTable),e.getMTime=()=&gt;{let e=t.mtime;if(null!==t.lookupTable){const n=t.lookupTable.getMTime();e=n&gt;e?n:e}return e},e.getPrimitiveCount=()=&gt;{const t=e.getInputData();return{points:t.getPoints().getNumberOfValues()/3,verts:t.getVerts().getNumberOfValues()-t.getVerts().getNumberOfCells(),lines:t.getLines().getNumberOfValues()-2*t.getLines().getNumberOfCells(),triangles:t.getPolys().getNumberOfValues()-3*t.getPolys().getNumberOfCells()}},e.acquireInvertibleLookupTable=Hl(&quot;AcquireInvertibleLookupTable&quot;),e.valueToColor=Hl(&quot;ValueToColor&quot;),e.colorToValue=Hl(&quot;ColorToValue&quot;),e.useInvertibleColorFor=Hl(&quot;UseInvertibleColorFor&quot;),e.clearInvertibleColor=Hl(&quot;ClearInvertibleColor&quot;),e.processSelectorPixelBuffers=(e,n)=&gt;{if(!e||!t.selectionWebGLIdsToVTKIds||!t.populateSelectionSettings)return;const r=e.getRawPixelBuffer(Bl.ID_LOW24),o=e.getRawPixelBuffer(Bl.ID_HIGH24),a=e.getCurrentPass(),i=e.getFieldAssociation();let s=null;i===Nl.FIELD_ASSOCIATION_POINTS?s=t.selectionWebGLIdsToVTKIds.points:i===Nl.FIELD_ASSOCIATION_CELLS&amp;&amp;(s=t.selectionWebGLIdsToVTKIds.cells),s&amp;&amp;n.forEach((t=&gt;{if(a===Bl.ID_LOW24){let n=0;o&amp;&amp;(n+=o[t],n*=256),n+=r[t+2],n*=256,n+=r[t+1],n*=256,n+=r[t];const a=s[n],i=e.getPixelBuffer(Bl.ID_LOW24);i[t]=255&amp;a,i[t+1]=(65280&amp;a)&gt;&gt;8,i[t+2]=(16711680&amp;a)&gt;&gt;16}else if(a===Bl.ID_HIGH24&amp;&amp;o){let n=0;n+=o[t],n*=256,n+=r[t+2],n*=256,n+=r[t+1],n*=256,n+=r[t];const a=s[n];e.getPixelBuffer(Bl.ID_HIGH24)[t]=(4278190080&amp;a)&gt;&gt;24}}))}}const Jl={colorMapColors:null,areScalarsMappedFromCells:!1,static:!1,lookupTable:null,scalarVisibility:!0,scalarRange:[0,1],useLookupTableScalarRange:!1,colorMode:0,scalarMode:0,arrayAccessMode:1,renderTime:0,colorByArrayName:null,fieldDataTupleId:-1,populateSelectionSettings:!0,selectionWebGLIdsToVTKIds:null,interpolateScalarsBeforeMapping:!1,colorCoordinates:null,colorTextureMap:null,numberOfColorsInRange:0,forceCompileOnly:0,useInvertibleColors:!1,invertibleScalars:null,customShaderAttributes:[]};function Zl(e,t,n={}){Object.assign(t,Jl,n),Ls.extend(e,t,n),sn.get(e,t,[&quot;areScalarsMappedFromCells&quot;,&quot;colorCoordinates&quot;,&quot;colorMapColors&quot;,&quot;colorTextureMap&quot;,&quot;numberOfColorsInRange&quot;,&quot;selectionWebGLIdsToVTKIds&quot;]),sn.setGet(e,t,[&quot;colorByArrayName&quot;,&quot;arrayAccessMode&quot;,&quot;colorMode&quot;,&quot;fieldDataTupleId&quot;,&quot;interpolateScalarsBeforeMapping&quot;,&quot;lookupTable&quot;,&quot;populateSelectionSettings&quot;,&quot;renderTime&quot;,&quot;scalarMode&quot;,&quot;scalarVisibility&quot;,&quot;static&quot;,&quot;useLookupTableScalarRange&quot;,&quot;customShaderAttributes&quot;]),sn.setGetArray(e,t,[&quot;scalarRange&quot;],2),Ll.implementCoincidentTopologyMethods(e,t),Yl(e,t)}var Ql={newInstance:sn.newInstance(Zl,&quot;vtkMapper&quot;),extend:Zl,...kl,...Gl,...cl};const{isVtkObject:$l}=sn;function ec(e){const t=[];for(let n=0;n&lt;e.length;n+=e[n]+1)t.push(e[n]);return t}function tc(e){let t=0;for(let n=0;n&lt;e.length;)n+=e[n]+1,t++;return t}const nc={extractCellSizes:ec,getNumberOfCells:tc};function rc(e,t,n={}){Is.extend(e,t,function(e){return{empty:!0,numberOfComponents:1,dataType:ms.UNSIGNED_INT,...e}}(n)),function(e,t){t.classHierarchy.push(&quot;vtkCellArray&quot;);const n={...e};e.getNumberOfCells=n=&gt;void 0===t.numberOfCells||n?(t.cellSizes?t.numberOfCells=t.cellSizes.length:t.numberOfCells=tc(e.getData()),t.numberOfCells):t.numberOfCells,e.getCellSizes=n=&gt;void 0===t.cellSizes||n?(t.cellSizes=ec(e.getData()),t.cellSizes):t.cellSizes,e.resize=r=&gt;{const o=e.getNumberOfTuples();n.resize(r);const a=e.getNumberOfTuples();a&lt;o&amp;&amp;(0===a?(t.numberOfCells=0,t.cellSizes=[]):(t.numberOfCells=void 0,t.cellSizes=void 0))},e.setData=e=&gt;{n.setData(e,1),t.numberOfCells=void 0,t.cellSizes=void 0},e.getCell=e=&gt;{let n=e;const r=t.values[n++];return t.values.subarray(n,n+r)},e.insertNextCell=n=&gt;{let r;r=$l(n)?n.getPointsIds():n;const o=e.getNumberOfCells();return e.insertNextTuples([r.length,...r]),++t.numberOfCells,null!=t.cellSizes&amp;&amp;t.cellSizes.push(r.length),o},e.getMaxCellSize=()=&gt;e.getCellSizes().reduce(((e,t)=&gt;Math.max(e,t)),0)}(e,t)}var oc={newInstance:sn.newInstance(rc,&quot;vtkCellArray&quot;),extend:rc,...nc};const{vtkErrorMacro:ac}=sn;const ic={empty:!0,numberOfComponents:3,dataType:ms.FLOAT,bounds:[1,-1,1,-1,1,-1]};function sc(e,t,n={}){Object.assign(t,ic,n),Is.extend(e,t,n),sn.getArray(e,t,[&quot;bounds&quot;],6),function(e,t){let n=0;t.classHierarchy.push(&quot;vtkPoints&quot;),e.getNumberOfPoints=e.getNumberOfTuples,e.setNumberOfPoints=(n,r=3)=&gt;{e.getNumberOfPoints()!==n&amp;&amp;(t.size=n*r,t.values=sn.newTypedArray(t.dataType,t.size),e.setNumberOfComponents(r),e.modified())},e.setPoint=(t,...n)=&gt;{e.setTuple(t,n)},e.getPoint=e.getTuple,e.findPoint=e.findTuple,e.insertNextPoint=(t,n,r)=&gt;e.insertNextTuple([t,n,r]),e.insertPoint=(t,n)=&gt;e.insertTuple(t,n);const r=e.getBounds;e.getBounds=()=&gt;(n&lt;t.mtime&amp;&amp;e.computeBounds(),r());const o=e.getBoundsByReference;e.getBoundsByReference=()=&gt;(n&lt;t.mtime&amp;&amp;e.computeBounds(),o()),e.computeBounds=()=&gt;{if(3===e.getNumberOfComponents()){const n=e.getRange(0);t.bounds[0]=n[0],t.bounds[1]=n[1];const r=e.getRange(1);t.bounds[2]=r[0],t.bounds[3]=r[1];const o=e.getRange(2);t.bounds[4]=o[0],t.bounds[5]=o[1]}else if(2===e.getNumberOfComponents()){const n=e.getRange(0);t.bounds[0]=n[0],t.bounds[1]=n[1];const r=e.getRange(1);t.bounds[2]=r[0],t.bounds[3]=r[1],t.bounds[4]=0,t.bounds[5]=0}else ac(`getBounds called on an array with components of ${e.getNumberOfComponents()}`),Ia(t.bounds);n=sn.getCurrentGlobalMTime()},e.setNumberOfComponents(t.numberOfComponents&lt;2?3:t.numberOfComponents)}(e,t)}var lc={newInstance:sn.newInstance(sc,&quot;vtkPoints&quot;),extend:sc};const cc={bounds:[-1,-1,-1,-1,-1,-1],pointsIds:[]};function uc(e,t,n={}){Object.assign(t,cc,n),sn.obj(e,t),t.points||(t.points=lc.newInstance()),sn.get(e,t,[&quot;points&quot;,&quot;pointsIds&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkCell&quot;),e.initialize=(e,n=null)=&gt;{if(n){t.pointsIds=n;let r=t.points.getData();r.length!==3*t.pointsIds.length&amp;&amp;(r=sn.newTypedArray(e.getDataType(),3*t.pointsIds.length));const o=e.getData();t.pointsIds.forEach(((e,t)=&gt;{let n=3*e,a=3*t;r[a]=o[n],r[++a]=o[++n],r[++a]=o[++n]})),t.points.setData(r)}else{t.points=e,t.pointsIds=new Array(e.getNumberOfPoints());for(let n=e.getNumberOfPoints()-1;n&gt;=0;--n)t.pointsIds[n]=n}},e.getBounds=()=&gt;t.points.getBounds(),e.getLength2=()=&gt;{const t=Hi.getLengths(e.getBounds());return t[0]*t[0]+t[1]*t[1]+t[2]*t[2]},e.getParametricDistance=e=&gt;{let t,n=0;for(let r=0;r&lt;3;r++)t=e[r]&lt;0?-e[r]:e[r]&gt;1?e[r]-1:0,t&gt;n&amp;&amp;(n=t);return n},e.getNumberOfPoints=()=&gt;t.points.getNumberOfPoints(),e.deepCopy=e=&gt;{e.initialize(t.points,t.pointsIds)},e.getCellDimension=()=&gt;{},e.intersectWithLine=(e,t,n,r,o,a,i)=&gt;{},e.evaluatePosition=(e,t,n,r,o,a)=&gt;{sn.vtkErrorMacro(&quot;vtkCell.evaluatePosition is not implemented.&quot;)}}(e,t)}var dc={newInstance:sn.newInstance(uc,&quot;vtkCell&quot;),extend:uc};const pc={array:null,maxId:0,extend:0};function fc(e,t,n={}){Object.assign(t,pc,n),sn.obj(e,t),function(e,t){t.classHierarchy.push(&quot;vtkCellLinks&quot;),e.buildLinks=n=&gt;{const r=n.getPoints().getNumberOfPoints(),o=n.getNumberOfCells(),a=new Uint32Array(r);if(n.isA(&quot;vtkPolyData&quot;)){for(let t=0;t&lt;o;++t){const{cellPointIds:r}=n.getCellPoints(t);r.forEach((t=&gt;{e.incrementLinkCount(t)}))}e.allocateLinks(r),t.maxId=r-1;for(let t=0;t&lt;o;++t){const{cellPointIds:r}=n.getCellPoints(t);r.forEach((n=&gt;{e.insertCellReference(n,a[n]++,t)}))}}else{for(let t=0;t&lt;o;t++)dc.newInstance().getPointsIds().forEach((t=&gt;{e.incrementLinkCount(t)}));e.allocateLinks(r),t.maxId=r-1;for(let t=0;t&lt;o;++t)dc.newInstance().getPointsIds().forEach((n=&gt;{e.insertCellReference(n,a[n]++,t)}))}},e.allocate=(e,n=1e3)=&gt;{t.array=Array(e).fill().map((()=&gt;({ncells:0,cells:null}))),t.extend=n,t.maxId=-1},e.initialize=()=&gt;{t.array=null},e.getLink=e=&gt;t.array[e],e.getNcells=e=&gt;t.array[e].ncells,e.getCells=e=&gt;t.array[e].cells,e.insertNextPoint=e=&gt;{t.array.push({ncells:e,cells:Array(e)}),++t.maxId},e.insertNextCellReference=(e,n)=&gt;{t.array[e].cells[t.array[e].ncells++]=n},e.deletePoint=e=&gt;{t.array[e].ncells=0,t.array[e].cells=null},e.removeCellReference=(e,n)=&gt;{t.array[n].cells=t.array[n].cells.filter((t=&gt;t!==e)),t.array[n].ncells=t.array[n].cells.length},e.addCellReference=(e,n)=&gt;{t.array[n].cells[t.array[n].ncells++]=e},e.resizeCellList=(e,n)=&gt;{t.array[e].cells.length=n},e.squeeze=()=&gt;{!function(e,t){let n=t;for(t&gt;=e.array.length&amp;&amp;(n+=e.array.length);n&gt;e.array.length;)e.array.push({ncells:0,cells:null});e.array.length=n}(t,t.maxId+1)},e.reset=()=&gt;{t.maxId=-1},e.deepCopy=e=&gt;{t.array=[...e.array],t.extend=e.extend,t.maxId=e.maxId},e.incrementLinkCount=e=&gt;{++t.array[e].ncells},e.allocateLinks=e=&gt;{for(let n=0;n&lt;e;++n)t.array[n].cells=new Array(t.array[n].ncells)},e.insertCellReference=(e,n,r)=&gt;{t.array[e].cells[n]=r}}(e,t)}var gc={newInstance:sn.newInstance(fc,&quot;vtkCellLinks&quot;),extend:fc};const mc=0,hc=1,vc=2,Tc=3,xc=4,yc=5,bc=6,Ac=7,Cc=9,Sc=21,Pc=41,wc=42,Ic=[&quot;vtkEmptyCell&quot;,&quot;vtkVertex&quot;,&quot;vtkPolyVertex&quot;,&quot;vtkLine&quot;,&quot;vtkPolyLine&quot;,&quot;vtkTriangle&quot;,&quot;vtkTriangleStrip&quot;,&quot;vtkPolygon&quot;,&quot;vtkPixel&quot;,&quot;vtkQuad&quot;,&quot;vtkTetra&quot;,&quot;vtkVoxel&quot;,&quot;vtkHexahedron&quot;,&quot;vtkWedge&quot;,&quot;vtkPyramid&quot;,&quot;vtkPentagonalPrism&quot;,&quot;vtkHexagonalPrism&quot;,&quot;UnknownClass&quot;,&quot;UnknownClass&quot;,&quot;UnknownClass&quot;,&quot;UnknownClass&quot;,&quot;vtkQuadraticEdge&quot;,&quot;vtkQuadraticTriangle&quot;,&quot;vtkQuadraticQuad&quot;,&quot;vtkQuadraticTetra&quot;,&quot;vtkQuadraticHexahedron&quot;,&quot;vtkQuadraticWedge&quot;,&quot;vtkQuadraticPyramid&quot;,&quot;vtkBiQuadraticQuad&quot;,&quot;vtkTriQuadraticHexahedron&quot;,&quot;vtkQuadraticLinearQuad&quot;,&quot;vtkQuadraticLinearWedge&quot;,&quot;vtkBiQuadraticQuadraticWedge&quot;,&quot;vtkBiQuadraticQuadraticHexahedron&quot;,&quot;vtkBiQuadraticTriangle&quot;,&quot;vtkCubicLine&quot;,&quot;vtkQuadraticPolygon&quot;,&quot;UnknownClass&quot;,&quot;UnknownClass&quot;,&quot;UnknownClass&quot;,&quot;UnknownClass&quot;,&quot;vtkConvexPointSet&quot;,&quot;UnknownClass&quot;,&quot;UnknownClass&quot;,&quot;UnknownClass&quot;,&quot;UnknownClass&quot;,&quot;UnknownClass&quot;,&quot;UnknownClass&quot;,&quot;UnknownClass&quot;,&quot;UnknownClass&quot;,&quot;UnknownClass&quot;,&quot;vtkParametricCurve&quot;,&quot;vtkParametricSurface&quot;,&quot;vtkParametricTriSurface&quot;,&quot;vtkParametricQuadSurface&quot;,&quot;vtkParametricTetraRegion&quot;,&quot;vtkParametricHexRegion&quot;,&quot;UnknownClass&quot;,&quot;UnknownClass&quot;,&quot;UnknownClass&quot;,&quot;vtkHigherOrderEdge&quot;,&quot;vtkHigherOrderTriangle&quot;,&quot;vtkHigherOrderQuad&quot;,&quot;vtkHigherOrderPolygon&quot;,&quot;vtkHigherOrderTetrahedron&quot;,&quot;vtkHigherOrderWedge&quot;,&quot;vtkHigherOrderPyramid&quot;,&quot;vtkHigherOrderHexahedron&quot;];const Oc={getClassNameFromTypeId:function(e){return e&lt;Ic.length?Ic[e]:&quot;UnknownClass&quot;},getTypeIdFromClassName:function(e){return Ic.findIndex(e)},isLinear:function(e){return e&lt;Sc||e===Pc||e===wc},hasSubCells:function(e){return e===bc||e===xc||e===vc}};const Rc={size:0,maxId:-1,extend:1e3};function Mc(e,t,n={}){Object.assign(t,Rc,n),sn.obj(e,t),sn.get(e,t,[&quot;size&quot;,&quot;maxId&quot;,&quot;extend&quot;]),sn.getArray(e,t,[&quot;typeArray&quot;,&quot;locationArray&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkCellTypes&quot;),e.allocate=(e=512,n=1e3)=&gt;{t.size=e&gt;0?e:1,t.extend=n&gt;0?n:1,t.maxId=-1,t.typeArray=new Uint8Array(e),t.locationArray=new Uint32Array(e)},e.insertCell=(e,n,r)=&gt;{t.typeArray[e]=n,t.locationArray[e]=r,e&gt;t.maxId&amp;&amp;(t.maxId=e)},e.insertNextCell=(n,r)=&gt;(e.insertCell(++t.maxId,n,r),t.maxId),e.setCellTypes=(e,n,r)=&gt;{t.size=e,t.typeArray=n,t.locationArray=r,t.maxId=e-1},e.getCellLocation=e=&gt;t.locationArray[e],e.deleteCell=e=&gt;{t.typeArray[e]=mc},e.getNumberOfTypes=()=&gt;t.maxId+1,e.isType=t=&gt;{const n=e.getNumberOfTypes();for(let r=0;r&lt;n;++r)if(t===e.getCellType(r))return!0;return!1},e.insertNextType=t=&gt;e.insertNextCell(t,-1),e.getCellType=e=&gt;t.typeArray[e],e.reset=()=&gt;{t.maxId=-1},e.deepCopy=n=&gt;{e.allocate(n.getSize(),n.getExtend()),t.typeArray.set(n.getTypeArray()),t.locationArray.set(n.getLocationArray()),t.maxId=n.getMaxId()}}(e,t)}var Dc={newInstance:sn.newInstance(Mc,&quot;vtkCellTypes&quot;),extend:Mc,...Oc};const Ec={NO_INTERSECTION:0,YES_INTERSECTION:1,ON_LINE:2};var Vc={IntersectionState:Ec};const{IntersectionState:Lc}=Vc;function Bc(e,t,n,r=null){const o={t:Number.MIN_VALUE,distance:0},a=[];let i;a[0]=n[0]-t[0],a[1]=n[1]-t[1],a[2]=n[2]-t[2];const s=a[0]*(e[0]-t[0])+a[1]*(e[1]-t[1])+a[2]*(e[2]-t[2]),l=zo(a,a);let c=1e-5*s;return 0!==l&amp;&amp;(o.t=s/l),c&lt;0&amp;&amp;(c=-c),-c&lt;l&amp;&amp;l&lt;c||l&lt;=0||o.t&lt;0?i=t:o.t&gt;1?i=n:(i=a,a[0]=t[0]+o.t*a[0],a[1]=t[1]+o.t*a[1],a[2]=t[2]+o.t*a[2]),r&amp;&amp;(r[0]=i[0],r[1]=i[1],r[2]=i[2]),o.distance=Yo(i,e),o}function Fc(e,t,n,r,o,a){const i=[],s=[],l=[];o[0]=0,a[0]=0,Go(t,e,i),Go(r,n,s),Go(n,e,l);const c=[zo(i,i),-zo(i,s),-zo(i,s),zo(s,s)],u=[];if(u[0]=zo(i,l),u[1]=-zo(s,l),0===ha(c,u,2)){let i=Number.MAX_VALUE;const s=[e,t,n,r],l=[n,n,e,e],c=[r,r,t,t];let u;a[0],a[0],o[0],o[0],o[0],o[0],a[0],a[0];for(let e=0;e&lt;4;e++)u=Bc(s[e],l[e],c[e]),u.distance&lt;i&amp;&amp;(i=u.distance,u.t);return Lc.ON_LINE}return o[0]=u[0],a[0]=u[1],o[0]&gt;=0&amp;&amp;o[0]&lt;=1&amp;&amp;a[0]&gt;=0&amp;&amp;a[0]&lt;=1?Lc.YES_INTERSECTION:Lc.NO_INTERSECTION}const Nc={distanceToLine:Bc,intersection:Fc};const kc={orientations:null};function Gc(e,t,n={}){Object.assign(t,kc,n),dc.extend(e,t,n),sn.setGet(e,t,[&quot;orientations&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkLine&quot;),e.getCellDimension=()=&gt;1,e.intersectWithLine=(e,n,r,o,a)=&gt;{const i={intersect:0,t:Number.MAX_VALUE,subId:0,betweenPoints:null};a[1]=0,a[2]=0;const s=[],l=[],c=[];t.points.getPoint(0,l),t.points.getPoint(1,c);const u=[],d=[],p=Fc(e,n,l,c,u,d);var f;if(i.t=u[0],i.betweenPoints=(f=i.t)&gt;=0&amp;&amp;f&lt;=1,a[0]=d[0],p===Lc.YES_INTERSECTION){for(let t=0;t&lt;3;t++)o[t]=l[t]+a[0]*(c[t]-l[t]),s[t]=e[t]+i.t*(n[t]-e[t]);if(Yo(o,s)&lt;=r*r)return i.intersect=1,i}else{let t;if(i.t&lt;0)return t=Bc(e,l,c,o),t.distance&lt;=r*r?(i.t=0,i.intersect=1,i.betweenPoints=!0,i):i;if(i.t&gt;1)return t=Bc(n,l,c,o),t.distance&lt;=r*r?(i.t=1,i.intersect=1,i.betweenPoints=!0,i):i;if(a[0]&lt;0)return a[0]=0,t=Bc(l,e,n,o),i.t=t.t,t.distance&lt;=r*r?(i.intersect=1,i):i;if(a[0]&gt;1)return a[0]=1,t=Bc(c,e,n,o),i.t=t.t,t.distance&lt;=r*r?(i.intersect=1,i):i}return i},e.evaluateLocation=(e,n,r)=&gt;{const o=[],a=[];t.points.getPoint(0,o),t.points.getPoint(1,a);for(let t=0;t&lt;3;t++)n[t]=o[t]+e[0]*(a[t]-o[t]);r[0]=1-e[0],r[1]=e[0]},e.evaluateOrientation=(e,n,r)=&gt;!!t.orientations&amp;&amp;(me(n,t.orientations[0],t.orientations[1],e[0]),r[0]=1-e[0],r[1]=e[0],!0)}(e,t)}var Uc={newInstance:sn.newInstance(Gc,&quot;vtkLine&quot;),extend:Gc,...Nc,...Vc};const _c={};function Kc(e,t,n={}){Object.assign(t,_c,n),Qs.extend(e,t,n),sn.setGet(e,t,[&quot;points&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkPointSet&quot;),t.points?t.points=it(t.points):t.points=lc.newInstance(),e.getNumberOfPoints=()=&gt;t.points.getNumberOfPoints(),e.getBounds=()=&gt;t.points?.getBounds(),e.computeBounds=()=&gt;{t.points?.computeBounds()};const n=e.shallowCopy;e.shallowCopy=(e,r=!1)=&gt;{n(e,r),t.points=lc.newInstance(),t.points.shallowCopy(e.getPoints())};const r=e.getMTime;e.getMTime=()=&gt;{const e=r();return Math.max(e,t.points?.getMTime()??e)};const o=e.initialize;e.initialize=()=&gt;(t.points?.initialize(),o())}(e,t)}var zc={newInstance:sn.newInstance(Kc,&quot;vtkPointSet&quot;),extend:Kc};const Wc={orientations:null,distanceFunction:ue};function Hc(e,t,n={}){Object.assign(t,Wc,n),dc.extend(e,t,n),sn.setGet(e,t,[&quot;orientations&quot;,&quot;distanceFunction&quot;]),t.distancesTime={},sn.obj(t.distancesTime,{mtime:0}),function(e,t){t.classHierarchy.push(&quot;vtkPolyLine&quot;);const n=Uc.newInstance();n.getPoints().setNumberOfPoints(2),e.getCellDimension=()=&gt;1,e.intersectWithLine=(r,o,a,i,s,l,c)=&gt;{const u={intersect:0,t:Number.MAX_VALUE,subId:0,betweenPoints:null},d=e.getNumberOfPoints()-1;let p=Number.MAX_VALUE;for(let e=0;e&lt;d;e++){const d=[0,0,0];n.getPoints().getData().set(t.points.getData().subarray(3*e,3*(e+2)));const f=n.intersectWithLine(a,i,s,l,c);if(1===f.intersect&amp;&amp;f.t&lt;=u.t+s&amp;&amp;f.t&gt;=r&amp;&amp;f.t&lt;=o){u.intersect=1;const t=n.getParametricDistance(d);if(t&lt;p||t===p&amp;&amp;f.t&lt;u.t){u.subId=e,u.t=f.t,p=t;for(let e=0;e&lt;3;e++)l[e],d[e]}}}return u},e.evaluateLocation=(e,r,o,a)=&gt;(n.getPoints().getData().set(t.points.getData().subarray(3*e,3*(e+2))),n.evaluateLocation(r,o,a)),e.evaluateOrientation=(e,r,o,a)=&gt;(t.orientations?n.setOrientations([t.orientations[e],t.orientations[e+1]]):n.setOrientations(null),n.evaluateOrientation(r,o,a)),e.getDistancesToFirstPoint=()=&gt;{const n=t.distancesTime.getMTime();if(n&lt;t.points.getMTime()||n&lt;e.getMTime()){const n=e.getNumberOfPoints();if(t.distances?t.distances.length=n:t.distances=new Array(n),n&gt;0){const e=new Array(3),a=new Array(3);let i=0;t.distances[0]=i,t.points.getPoint(0,e);for(let s=1;s&lt;n;++s)t.points.getPoint(s,a),i+=t.distanceFunction(e,a),t.distances[s]=i,o=a,(r=e)[0]=o[0],r[1]=o[1],r[2]=o[2]}t.distancesTime.modified()}var r,o;return t.distances},e.findPointIdAtDistanceFromFirstPoint=t=&gt;{const n=e.getDistancesToFirstPoint();if(n.length&lt;2)return-1;let r=0,o=n.length-1;if(t&lt;n[r]||t&gt;n[o]||0===n[o])return-1;for(;o-r&gt;1;){const e=Math.floor((r+o)/2);n[e]&lt;=t?r=e:o=e}return r}}(e,t)}var jc={newInstance:sn.newInstance(Hc,&quot;vtkPolyLine&quot;),extend:Hc};const Xc={elements:[]};function qc(e,t,n={}){Object.assign(t,Xc,n),sn.obj(e,t),function(e,t){t.classHierarchy.push(&quot;vtkPriorityQueue&quot;),e.push=(e,n)=&gt;{const r=t.elements.findIndex((t=&gt;t.priority&gt;e));t.elements.splice(r,0,{priority:e,element:n})},e.pop=()=&gt;t.elements.length&gt;0?t.elements.shift().element:null,e.deleteById=e=&gt;{t.elements=t.elements.filter((({element:t})=&gt;t.id!==e))},e.length=()=&gt;t.elements.length}(e,t)}var Yc={newInstance:sn.newInstance(qc,&quot;vtkPriorityQueue&quot;),extend:qc};const Jc=1e-6,Zc=1.1920929e-7,Qc={FAILURE:-1,OUTSIDE:0,INSIDE:1,INTERSECTION:2,ON_LINE:3};function $c(e,t,n,r,o){return(r[e]-n[e])*(o[t]-n[t])-(o[e]-n[e])*(r[t]-n[t])}const eu={PolygonWithPointIntersectionState:Qc,pointInPolygon:function(e,t,n,r){if(e[0]&lt;n[0]||e[0]&gt;n[1]||e[1]&lt;n[2]||e[1]&gt;n[3]||e[2]&lt;n[4]||e[2]&gt;n[5])return Qc.OUTSIDE;if(jo(r)&lt;=Zc)return Qc.FAILURE;let o=1e-8*((n[1]-n[0])*(n[1]-n[0])+(n[3]-n[2])*(n[3]-n[2])+(n[5]-n[4])*(n[5]-n[4]));o*=o,o=0===o?Zc:o;const a=[],i=[];for(let n=0;n&lt;t.length;){if(a[0]=t[n++],a[1]=t[n++],a[2]=t[n++],Yo(e,a)&lt;=o)return Qc.INSIDE;const{distance:r,t:s}=Uc.distanceToLine(e,a,i);if(r&lt;=o&amp;&amp;s&gt;0&amp;&amp;s&lt;1)return Qc.INSIDE}let s,l;Math.abs(r[0])&gt;Math.abs(r[1])?Math.abs(r[0])&gt;Math.abs(r[2])?(s=1,l=2):(s=0,l=1):Math.abs(r[1])&gt;Math.abs(r[2])?(s=0,l=2):(s=0,l=1);let c=0;for(let n=0;n&lt;t.length;)a[0]=t[n++],a[1]=t[n++],a[2]=t[n++],n&lt;t.length?(i[0]=t[n],i[1]=t[n+1],i[2]=t[n+2]):(i[0]=t[0],i[1]=t[1],i[2]=t[2]),a[l]&lt;=e[l]?i[l]&gt;e[l]&amp;&amp;$c(s,l,a,i,e)&gt;0&amp;&amp;++c:i[l]&lt;=e[l]&amp;&amp;$c(s,l,a,i,e)&lt;0&amp;&amp;--c;return 0===c?Qc.OUTSIDE:Qc.INSIDE},getBounds:function(e,t,n){const r=e.length,o=[];t.getPoint(e[0],o),n[0]=o[0],n[1]=o[0],n[2]=o[1],n[3]=o[1],n[4]=o[2],n[5]=o[2];for(let a=1;a&lt;r;a++)t.getPoint(e[a],o),Hi.addPoint(n,...o);const a=Hi.getLengths(n);return zo(a,a)},getNormal:function(e,t,n){n.length=3,n[0]=0,n[1]=0,n[2]=0;const r=[];let o=[],a=[];const i=[],s=[];t.getPoint(e[0],r),t.getPoint(e[1],o);for(let l=2;l&lt;e.length;l++){t.getPoint(e[l],a),Go(a,o,i),Go(r,o,s);const c=[0,0,0];Wo(i,s,c),ko(n,c,n),[o,a]=[a,o]}return jo(n)},computeCentroid:function(e,t,n=[0,0,0]){n[0]=0,n[1]=0,n[2]=0;const r=e.length,o=[];for(let a=0;a&lt;r;a++)t.getPoint(e[a],o),n[0]+=o[0],n[1]+=o[1],n[2]+=o[2];return n[0]/=r,n[1]/=r,n[2]/=r,n}};function tu(e,t){function n(e){const n=[0,0,0],r=[0,0,0],o=[0,0,0],a=[0,0,0];Go(e.point,e.previous.point,n),Go(e.next.point,e.point,r),Go(e.previous.point,e.next.point,o),Wo(n,r,a);const i=zo(a,t.normal);if(i&lt;=0)return-1;const s=Ho(n)+Ho(r)+Ho(o);return s*s/i}function r(e){if(t.pointCount&lt;=3)return!0;const n=e.previous,r=e.next,o=[0,0,0];Go(r.point,n.point,o);const a=[0,0,0];if(Wo(o,t.normal,a),jo(a),0===Ho(a))return!1;let i=ai.evaluate(a,n.point,r.next.point),s=i&gt;Jc?1:i&lt;-1e-6?-1:0,l=s&lt;0?1:0;for(let e=r.next.next;e.id!==n.id;e=e.next){const t=e.previous;i=ai.evaluate(a,n.point,e.point);const o=i&gt;Jc?1:i&lt;-1e-6?-1:0;if(o!==s){if(l||(l=o&lt;=0?1:0),Uc.intersection(n.point,r.point,e.point,t.point,[0],[0])===Ec.YES_INTERSECTION)return!1;s=o}}return 1===l}function o(e,r){t.pointCount-=1;const o=e.previous,a=e.next;t.tris=t.tris.concat(e.point),t.tris=t.tris.concat(a.point),t.tris=t.tris.concat(o.point),o.next=a,a.previous=o,r.deleteById(o.id),r.deleteById(a.id);const i=n(o);i&gt;0&amp;&amp;r.push(i,o);const s=n(a);s&gt;0&amp;&amp;r.push(s,a),e.id===t.firstPoint.id&amp;&amp;(t.firstPoint=a)}function a(){!function(){const e=[0,0,0],n=[0,0,0];t.normal=[0,0,0];const r=[...t.firstPoint.point];let o=t.firstPoint;for(let a=0;a&lt;t.pointCount;a++){Go(o.point,r,e),Go(o.next.point,r,n);const a=[0,0,0];Wo(e,n,a),ko(t.normal,a,t.normal),o=o.next}jo(t.normal)}();const e=Yc.newInstance();let a=t.firstPoint;for(let r=0;r&lt;t.pointCount;r++){const t=n(a);t&gt;0&amp;&amp;e.push(t,a),a=a.next}for(;t.pointCount&gt;2&amp;&amp;e.length()&gt;0;)if(t.pointCount===e.length()){o(e.pop(),e)}else{const t=e.pop();r(t)&amp;&amp;o(t,e)}return t.pointCount&lt;=2}t.classHierarchy.push(&quot;vtkPolygon&quot;),e.triangulate=()=&gt;t.firstPoint?a():null,e.setPoints=e=&gt;{t.pointCount=e.length,t.firstPoint={id:0,point:e[0],next:null,previous:null};let n=t.firstPoint;for(let r=1;r&lt;t.pointCount;r++)n.next={id:r,point:e[r],next:null,previous:n},n=n.next;t.firstPoint.previous=n,n.next=t.firstPoint},e.getPointArray=()=&gt;t.tris}const nu={firstPoint:null,pointCount:0,tris:[]};function ru(e,t,n={}){Object.assign(t,nu,n),sn.obj(e,t),tu(e,t)}var ou={newInstance:sn.newInstance(ru,&quot;vtkPolygon&quot;),extend:ru,...eu};function au(e,t,n,r){const o=n[0]-t[0],a=n[1]-t[1],i=n[2]-t[2],s=e[0]-t[0],l=e[1]-t[1],c=e[2]-t[2];r[0]=a*c-i*l,r[1]=i*s-o*c,r[2]=o*l-a*s}function iu(e,t,n,r){au(e,t,n,r);const o=Math.sqrt(r[0]*r[0]+r[1]*r[1]+r[2]*r[2]);0!==o&amp;&amp;(r[0]/=o,r[1]/=o,r[2]/=o)}function su(e){e[0]=-1,e[1]=1,e[2]=0,e[3]=-1,e[4]=0,e[5]=1}const lu=[[0,1],[1,2],[2,0]],cu=[1,2,4],uu=[[-1,-1,-1,-1,-1,-1,-1],[0,2,100,-1,-1,-1,-1],[1,0,101,-1,-1,-1,-1],[1,2,100,1,100,101,-1],[2,1,102,-1,-1,-1,-1],[0,1,102,102,100,0,-1],[0,101,2,2,101,102,-1],[100,101,102,-1,-1,-1,-1]],du={computeNormalDirection:au,computeNormal:iu,interpolationDerivs:su,intersectWithTriangle:function(e,t,n,r,o,a,i=1e-6){let s=!1;const l=[],c=[],u=[],d=[],p=[];iu(e,t,n,d),iu(r,o,a,p);const f=-zo(d,e),g=-zo(p,r),m=[zo(p,e)+g,zo(p,t)+g,zo(p,n)+g];if(m[0]*m[1]&gt;i&amp;&amp;m[0]*m[2]&gt;i)return{intersect:!1,coplanar:s,pt1:l,pt2:c,surfaceId:u};const h=[zo(d,r)+f,zo(d,o)+f,zo(d,a)+f];if(h[0]*h[1]&gt;i&amp;&amp;h[0]*h[2]&gt;i)return{intersect:!1,coplanar:s,pt1:l,pt2:c,surfaceId:u};if(Math.abs(d[0]-p[0])&lt;1e-9&amp;&amp;Math.abs(d[1]-p[1])&lt;1e-9&amp;&amp;Math.abs(d[2]-p[2])&lt;1e-9&amp;&amp;Math.abs(f-g)&lt;1e-9)return s=!0,{intersect:!1,coplanar:s,pt1:l,pt2:c,surfaceId:u};const v=[e,t,n],T=[r,o,a],x=zo(d,p),y=(f-g*x)/(x*x-1),b=(g-f*x)/(x*x-1),A=[y*d[0]+b*p[0],y*d[1]+b*p[1],y*d[2]+b*p[2]],C=Wo(d,p,[]);jo(C);let S=0,P=0;const w=[],I=[];let O,R,M=50,D=50;for(let t=0;t&lt;3;t++){const n=t,o=(t+1)%3,a=ai.intersectWithLine(v[n],v[o],r,p);a.intersection&amp;&amp;a.t&gt;0-i&amp;&amp;a.t&lt;1+i&amp;&amp;(a.t&lt;1+i&amp;&amp;a.t&gt;1-i&amp;&amp;(M=S),w[S++]=zo(a.x,C)-zo(A,C));const s=ai.intersectWithLine(T[n],T[o],e,d);s.intersection&amp;&amp;s.t&gt;0-i&amp;&amp;s.t&lt;1+i&amp;&amp;(s.t&lt;1+i&amp;&amp;s.t&gt;1-i&amp;&amp;(D=P),I[P++]=zo(s.x,C)-zo(A,C))}if(S&gt;2){S--;const e=w[2];w[2]=w[M],w[M]=e}if(P&gt;2){P--;const e=I[2];I[2]=I[D],I[D]=e}if(2!==S||2!==P)return{intersect:!1,coplanar:s,pt1:l,pt2:c,surfaceId:u};if(Number.isNaN(w[0])||Number.isNaN(w[1])||Number.isNaN(I[0])||Number.isNaN(I[1]))return{intersect:!1,coplanar:s,pt1:l,pt2:c,surfaceId:u};if(w[0]&gt;w[1]){const e=w[1];w[1]=w[0],w[0]=e}if(I[0]&gt;I[1]){const e=I[1];I[1]=I[0],I[0]=e}return w[1]&lt;I[0]||I[1]&lt;w[0]?{intersect:!1,coplanar:s,pt1:l,pt2:c,surfaceId:u}:(w[0]&lt;I[0]?w[1]&lt;I[1]?(u[0]=2,u[1]=1,O=I[0],R=w[1]):(u[0]=2,u[1]=2,O=I[0],R=I[1]):w[1]&lt;I[1]?(u[0]=1,u[1]=1,O=w[0],R=w[1]):(u[0]=1,u[1]=2,O=w[0],R=I[1]),Ko(A,C,O,l),Ko(A,C,R,c),{intersect:!0,coplanar:s,pt1:l,pt2:c,surfaceId:u})}};const pu={};function fu(e,t,n={}){Object.assign(t,pu,n),dc.extend(e,t,n),function(e,t){t.classHierarchy.push(&quot;vtkTriangle&quot;),e.getCellDimension=()=&gt;2,e.intersectWithLine=(n,r,o,a,i)=&gt;{const s={subId:0,t:Number.MAX_VALUE,intersect:0,betweenPoints:!1};i[2]=0;const l=[],c=o*o,u=[],d=[],p=[];t.points.getPoint(0,u),t.points.getPoint(1,d),t.points.getPoint(2,p);const f=[],g=[];if(iu(u,d,p,f),0!==f[0]||0!==f[1]||0!==f[2]){const t=ai.intersectWithLine(n,r,u,f);if(s.betweenPoints=t.betweenPoints,s.t=t.t,a[0]=t.x[0],a[1]=t.x[1],a[2]=t.x[2],!t.intersection)return i[0]=0,i[1]=0,s.intersect=0,s;const o=e.evaluatePosition(a,l,i,g);if(o.evaluation&gt;=0)return o.dist2&lt;=c?(s.intersect=1,s):(s.intersect=o.evaluation,s)}const m=Yo(u,d),h=Yo(d,p),v=Yo(p,u);t.line||(t.line=Uc.newInstance()),m&gt;h&amp;&amp;m&gt;v?(t.line.getPoints().setPoint(0,u),t.line.getPoints().setPoint(1,d)):h&gt;v&amp;&amp;h&gt;m?(t.line.getPoints().setPoint(0,d),t.line.getPoints().setPoint(1,p)):(t.line.getPoints().setPoint(0,p),t.line.getPoints().setPoint(1,u));const T=t.line.intersectWithLine(n,r,o,a,i);if(s.betweenPoints=T.betweenPoints,s.t=T.t,T.intersect){const e=[],t=[],n=[];for(let r=0;r&lt;3;r++)e[r]=u[r]-p[r],t[r]=d[r]-p[r],n[r]=a[r]-p[r];return i[0]=zo(n,e)/v,i[1]=zo(n,t)/h,s.intersect=1,s}return i[0]=0,i[1]=0,s.intersect=0,s},e.evaluatePosition=(e,n,r,o)=&gt;{const a={subId:0,dist2:0,evaluation:-1};let i,s;const l=[],c=[],u=[],d=[];let p;const f=[],g=[],m=[];let h=0,v=0;const T=[];let x,y,b,A=[];const C=[],S=[],P=[];a.subId=0,r[2]=0,t.points.getPoint(1,l),t.points.getPoint(2,c),t.points.getPoint(0,u),au(l,c,u,d),ai.generalizedProjectPoint(e,l,d,P);let w=0;for(i=0;i&lt;3;i++)p=d[i]&lt;0?-d[i]:d[i],p&gt;w&amp;&amp;(w=p,v=i);for(s=0,i=0;i&lt;3;i++)i!==v&amp;&amp;(T[s++]=i);for(i=0;i&lt;2;i++)f[i]=P[T[i]]-u[T[i]],g[i]=l[T[i]]-u[T[i]],m[i]=c[T[i]]-u[T[i]];if(h=Qo(g,m),0===h)return r[0]=0,r[1]=0,a.evaluation=-1,a;if(r[0]=Qo(f,m)/h,r[1]=Qo(g,f)/h,o[0]=1-(r[0]+r[1]),o[1]=r[0],o[2]=r[1],o[0]&gt;=0&amp;&amp;o[0]&lt;=1&amp;&amp;o[1]&gt;=0&amp;&amp;o[1]&lt;=1&amp;&amp;o[2]&gt;=0&amp;&amp;o[2]&lt;=1)n&amp;&amp;(a.dist2=Yo(P,e),n[0]=P[0],n[1]=P[1],n[2]=P[2]),a.evaluation=1;else{let t;if(n)if(o[1]&lt;0&amp;&amp;o[2]&lt;0)for(x=Yo(e,u),y=Uc.distanceToLine(e,l,u,t,C),b=Uc.distanceToLine(e,u,c,t,S),x&lt;y?(a.dist2=x,A=u):(a.dist2=y,A=C),b&lt;a.dist2&amp;&amp;(a.dist2=b,A=S),i=0;i&lt;3;i++)n[i]=A[i];else if(o[2]&lt;0&amp;&amp;o[0]&lt;0)for(x=Yo(e,l),y=Uc.distanceToLine(e,l,u,t,C),b=Uc.distanceToLine(e,l,c,t,S),x&lt;y?(a.dist2=x,A=l):(a.dist2=y,A=C),b&lt;a.dist2&amp;&amp;(a.dist2=b,A=S),i=0;i&lt;3;i++)n[i]=A[i];else if(o[1]&lt;0&amp;&amp;o[0]&lt;0)for(x=Yo(e,c),y=Uc.distanceToLine(e,c,u,t,C),b=Uc.distanceToLine(e,l,c,t,S),x&lt;y?(a.dist2=x,A=c):(a.dist2=y,A=C),b&lt;a.dist2&amp;&amp;(a.dist2=b,A=S),i=0;i&lt;3;i++)n[i]=A[i];else if(o[0]&lt;0){const t=Uc.distanceToLine(e,l,c,n);a.dist2=t.distance}else if(o[1]&lt;0){const t=Uc.distanceToLine(e,c,u,n);a.dist2=t.distance}else if(o[2]&lt;0){const t=Uc.distanceToLine(e,l,u,n);a.dist2=t.distance}a.evaluation=0}return a},e.evaluateLocation=(e,n,r)=&gt;{const o=[],a=[],i=[];t.points.getPoint(0,o),t.points.getPoint(1,a),t.points.getPoint(2,i);const s=1-e[0]-e[1];for(let t=0;t&lt;3;t++)n[t]=o[t]*s+a[t]*e[0]+i[t]*e[1];r[0]=s,r[1]=e[0],r[2]=e[1]},e.getParametricDistance=e=&gt;{let t,n=0;const r=[];r[0]=e[0],r[1]=e[1],r[2]=1-e[0]-e[1];for(let e=0;e&lt;3;e++)t=r[e]&lt;0?-r[e]:r[e]&gt;1?r[e]-1:0,t&gt;n&amp;&amp;(n=t);return n},e.derivatives=(e,n,r,o,a)=&gt;{const i=t.points.getPoint(0),s=t.points.getPoint(1),l=t.points.getPoint(2),c=[],u=[],d=[],p=[];iu(i,s,l,c),Go(s,i,u),Go(l,i,p),Wo(c,u,d);const f=jo(u);if(f&lt;=0||jo(d)&lt;=0){for(let e=0;e&lt;o;e++)for(let t=0;t&lt;3;t++)a[e*o+t]=0;return}const g=[0,0],m=[f,0],h=[zo(p,u),zo(p,d)],v=new Array(6);su(v);const T=[m[0]-g[0],m[1]-g[1],h[0]-g[0],h[1]-g[1]],x=sn.newTypedArray(At.Float64Array,4);va(T,x,2);for(let e=0;e&lt;o;e++){let t=0,n=0;for(let a=0;a&lt;3;a++)t+=v[a]*r[o*a+e],n+=v[3+a]*r[o*a+e];const i=t*x[0]+n*x[1],s=t*x[2]+n*x[3];a[3*e]=i*u[0]+s*d[0],a[3*e+1]=i*u[1]+s*d[1],a[3*e+2]=i*u[2]+s*d[2]}},e.cellBoundary=(e,n,r)=&gt;{const o=n[0]-n[1],a=.5*(1-n[0])-n[1],i=2*n[0]+n[1]-1;return o&gt;=0&amp;&amp;a&gt;=0?(r[0]=t.pointsIds[0],r[1]=t.pointsIds[1]):a&lt;0&amp;&amp;i&gt;=0?(r[0]=t.pointsIds[1],r[1]=t.pointsIds[2]):(r[0]=t.pointsIds[2],r[1]=t.pointsIds[0]),!(n[0]&lt;0||n[1]&lt;0||n[0]&gt;1||n[1]&gt;1||1-n[0]-n[1]&lt;0)},e.clip=(e,n,r,o,a,i,s,l,c,u)=&gt;{let d=0;for(let t=0;t&lt;3;t++){const r=n.getComponent(t,0);(u&amp;&amp;r&lt;=e||!u&amp;&amp;r&gt;e)&amp;&amp;(d+=cu[t])}const p=uu[d],f=[0,0,0],g=[0,0,0],m=[0,0,0],h=[0,0,0];for(let u=0;p[u]&gt;-1;u+=3){h[0]=0,h[1]=0,h[2]=0;for(let o=0;o&lt;3;o++){const s=p[u+o];if(s&gt;=100){const e=s-100;t.points.getPoint(e,f);const{inserted:n,id:l}=r.insertUniquePoint(f);h[o]=l,n&amp;&amp;i.passData(a,t.pointsIds[e],l)}else{const l=lu[s];let c=l[0],u=l[1],d=n.getComponent(l[1],0)-n.getComponent(l[0],0);d&lt;=0&amp;&amp;(c=l[1],u=l[0],d=-d);const p=0===d?0:(e-n.getComponent(c,0))/d;t.points.getPoint(c,g),t.points.getPoint(u,m);for(let e=0;e&lt;3;e++)f[e]=g[e]+p*(m[e]-g[e]);const{inserted:v,id:T}=r.insertUniquePoint(f);h[o]=T,v&amp;&amp;i.interpolateData(a,t.pointsIds[c],t.pointsIds[u],T,p)}}if(h[0]!==h[1]&amp;&amp;h[0]!==h[2]&amp;&amp;h[1]!==h[2]){const e=o.insertNextCell(h);c.passData(s,l,e)}}}}(e,t)}var gu={newInstance:sn.newInstance(fu,&quot;vtkTriangle&quot;),extend:fu,...du};const mu={};function hu(e,t,n={}){Object.assign(t,mu,n),dc.extend(e,t,n),function(e,t){t.classHierarchy.push(&quot;vtkQuad&quot;),e.getCellDimension=()=&gt;2,e.getCellType=()=&gt;Cc,e.getNumberOfEdges=()=&gt;4,e.getNumberOfFaces=()=&gt;0,e.intersectWithLine=(e,n,r,o,a)=&gt;{let i,s={subId:0,t:Number.MAX_VALUE,intersect:0,betweenPoints:!1};const l=t.points.getPoint(0,[]),c=t.points.getPoint(1,[]),u=t.points.getPoint(2,[]),d=t.points.getPoint(3,[]),p=Yo(l,u),f=Yo(c,d);if(p===f){let e,n=0,r=0;for(let o=0;o&lt;4;o++)e=t.pointsIds[o],e&gt;n&amp;&amp;(n=e,r=o);i=0===r||2===r?0:1}else i=p&lt;f?0:1;let g,m=null;t.triangle?m=t.triangle.getPoints():(t.triangle=gu.newInstance(),m=lc.newInstance(),m.setNumberOfPoints(3),t.triangle.initialize(m));const h={intersected:!1,subId:-1,x:[0,0,0],pCoords:[0,0,0],t:-1};let v;const T={intersected:!1,subId:-1,x:[0,0,0],pCoords:[0,0,0],t:-1};let x,y;switch(i){case 0:m.setPoint(0,...l),m.setPoint(1,...c),m.setPoint(2,...u),g=t.triangle.intersectWithLine(e,n,r,h.x,h.pCoords),m.setPoint(0,...u),m.setPoint(1,...d),m.setPoint(2,...l),v=t.triangle.intersectWithLine(e,n,r,T.x,T.pCoords),x=g.intersect&amp;&amp;v.intersect?g.t&lt;=v.t:g.intersect,y=g.intersect&amp;&amp;v.intersect?v.t&lt;g.t:v.intersect,x?(s=g,o[0]=h.x[0],o[1]=h.x[1],o[2]=h.x[2],a[0]=h.pCoords[0]+h.pCoords[1],a[1]=h.pCoords[1],a[2]=h.pCoords[2]):y&amp;&amp;(s=v,o[0]=T.x[0],o[1]=T.x[1],o[2]=T.x[2],a[0]=1-(T.pCoords[0]+T.pCoords[1]),a[1]=1-T.pCoords[1],a[2]=T.pCoords[2]);break;case 1:m.setPoint(0,...l),m.setPoint(1,...c),m.setPoint(2,...d),g=t.triangle.intersectWithLine(e,n,r,h.x,h.pCoords),m.setPoint(0,...u),m.setPoint(1,...d),m.setPoint(2,...c),v=t.triangle.intersectWithLine(e,n,r,T.x,T.pCoords),x=g.intersect&amp;&amp;v.intersect?g.t&lt;=v.t:g.intersect,y=g.intersect&amp;&amp;v.intersect?v.t&lt;g.t:v.intersect,x?(s=g,o[0]=h.x[0],o[1]=h.x[1],o[2]=h.x[2],a[0]=h.pCoords[0],a[1]=h.pCoords[1],a[2]=h.pCoords[2]):y&amp;&amp;(s=v,o[0]=T.x[0],o[1]=T.x[1],o[2]=T.x[2],a[0]=1-T.pCoords[0],a[1]=1-T.pCoords[1],a[2]=T.pCoords[2])}return s},e.interpolationFunctions=(e,t)=&gt;{const n=1-e[0],r=1-e[1];t[0]=n*r,t[1]=e[0]*r,t[2]=e[0]*e[1],t[3]=n*e[1]},e.evaluateLocation=(n,r,o)=&gt;{const a=[];e.interpolationFunctions(n,o),r[0]=0,r[1]=0,r[2]=0;for(let e=0;e&lt;4;e++){t.points.getPoint(e,a);for(let t=0;t&lt;3;t++)r[t]+=a[t]*o[e]}}}(e,t)}var vu={newInstance:sn.newInstance(hu,&quot;vtkQuad&quot;),extend:hu};const{vtkErrorMacro:Tu}=sn;const xu={decomposeStrip:function(e,t){if(!Array.isArray(e)||e.length&lt;3)return void Tu(&quot;decomposeStrip - Invalid points array&quot;);let n=e[0],r=e[1];for(let o=0;o&lt;e.length-2;o++){const a=e[o+2];o%2?t.insertNextCell([r,n,a]):t.insertNextCell([n,r,a]),n=r,r=a}}};function yu(e,t){t.classHierarchy.push(&quot;vtkTriangleStrip&quot;);const n=e.initialize;e.initialize=(e,r)=&gt;{t.triangle.initialize(e,r),n(e,r)},e.getCellType=()=&gt;bc,e.getCellDimension=()=&gt;2,e.getNumberOfEdges=()=&gt;t.pointsIds.length,e.getNumberOfFaces=()=&gt;0,e.evaluatePosition=(e,n,r,o,a)=&gt;{const i=[0,0,0];let s=Number.MAX_VALUE,l=0;const c=[],u=[],d=[];r[2]=0,u[0]=0,u[1]=0,u[2]=0;const p=t.triangle.getPoints();p.setNumberOfPoints(3);const f=t.triangle.getPointsIds().length;for(let e=0;e&lt;f;e++)a[e]=0;for(let o=0;o&lt;f-2;o++){const a=[];p.getPoint(o,a);const f=[];p.getPoint(o+1,f);const g=[];p.getPoint(o+2,g),p.setData(Float32Array.from([...a,...f,...g]),3);const m=t.triangle.evaluatePosition(e,d,i,c),h=m.dist2;m.evaluation&gt;=0&amp;&amp;(h&lt;s||h===s&amp;&amp;0===l)&amp;&amp;(l=m,n&amp;&amp;(n[0]=d[0],n[1]=d[1],n[2]=d[2]),r[0]=i[0],r[1]=i[1],s=h,u[0]=c[0],u[1]=c[1],u[2]=c[2])}return o[0]=s,a[0]=u[0],a[1]=u[1],a[2]=u[2],l},e.evaluateLocation=(e,n,r,o)=&gt;{const a=[[0,1,2],[1,0,2]],i=e%2,s=t.pointsIds.length;for(let e=0;e&lt;s;e++)o[e]=0;const l=1-n[0]-n[1];o[e]=l,o[e+1]=n[0],o[e+2]=n[1];const c=[];t.points.getPoint(e+a[i][0],c);const u=[];t.points.getPoint(e+a[i][1],u);const d=[];t.points.getPoint(e+a[i][2],d);for(let t=0;t&lt;3;t++)r[t]=c[t]*o[e]+u[t]*o[e+1]+d[t]*o[e+2]},e.cellBoundary=(e,n,r)=&gt;{const o=[[0,1,2],[1,0,2]],a=e%2,i=t.triangle.getPointsIds();return i[0]=t.pointsIds[o[a][0]],i[1]=t.pointsIds[o[a][1]],i[2]=t.pointsIds[o[a][2]],t.triangle.cellBoundary(0,n,r)},e.getEdge=e=&gt;{let n,r;const o=t.pointsIds.length;return 0===e?(n=0,r=1):e===o-1?(n=e-1,r=e):(n=e-1,r=e+1),t.line.getPointsIds()[0]=t.pointsIds[n],t.line.getPointsIds()[1]=t.pointsIds[r],t.line.getPoints().setPoint(0,t.points.getPoint(n)),t.line.getPoints().setPoint(1,t.points.getPoint(r)),t.line},e.intersectWithLine=(e,n,r,o,a)=&gt;{const i=t.pointsIds.length-2,s=t.triangle.getPoints();s.setNumberOfPoints(3);for(let l=0;l&lt;i;l++){const i=[];t.points.getPoint(t.pointsIds[l],i);const c=[];t.points.getPoint(t.pointsIds[l+1],c);const u=[];t.points.getPoint(t.pointsIds[l+2],u),s.setData(Float32Array.from([...i,...c,...u]),3);const d=t.triangle.intersectWithLine(e,n,r,o,a);if(d.intersect)return d}return!1},e.triangulate=()=&gt;{const e=t.points.getNumberOfPoints()-2;t.tris=new Array(3*e);const n=[[0,1,2],[1,0,2]];for(let r=0;r&lt;e;r++){const e=r%2;for(let o=0;o&lt;3;o++)t.tris[3*r+o]=r+n[e][o]}return!0},e.getPointArray=()=&gt;t.tris,e.derivatives=(e,n,r,o,a)=&gt;{const i=[];t.points.getPoint(e,i);const s=[];t.points.getPoint(e+1,s);const l=[];t.points.getPoint(e+2,l);const c=t.triangle.getPoints();c.setPoint(0,...i),c.setPoint(1,...s),c.setPoint(2,...l),t.triangle.derivatives(0,n,r,o,a)},e.getParametricCenter=e=&gt;(e[0]=.333333,e[1]=.333333,e[2]=0,Math.floor((t.pointsIds.length-2)/2)),e.contour=(e,t,n,r,o,a,i,s,l,c,u)=&gt;{return(d=&quot;contour&quot;,()=&gt;Tu(`vtkTriangleStrip.${d} - NOT IMPLEMENTED`))();var d},e.clip=(e,n,r,o,a,i,s,l,c,u)=&gt;{const d=t.points.getNumberOfPoints()-2,p=new Float32Array(3),f=n.newClone();f.setNumberOfComponents(n.getNumberOfComponents()),f.setData(p,n.getNumberOfComponents());const g=t.triangle.getPoints();g.setNumberOfPoints(3);const m=t.triangle.getPointsIds(),h=[0,0,0];for(let v=0;v&lt;d;v++){let d=v,T=v+1,x=v+2;v%2&amp;&amp;(d=v+2,T=v+1,x=v),g.setPoint(0,...t.points.getPoint(d,h)),g.setPoint(1,...t.points.getPoint(T,h)),g.setPoint(2,...t.points.getPoint(x,h)),m[0]=t.pointsIds[d],m[1]=t.pointsIds[T],m[2]=t.pointsIds[x],p[0]=n.getComponent(d,0),p[1]=n.getComponent(T,0),p[2]=n.getComponent(x,0),t.triangle.clip(e,f,r,o,a,i,s,l,c,u)}}}const bu={line:null,triangle:null,tris:null};function Au(e,t,n={}){Object.assign(t,bu,n),dc.extend(e,t,n),t.line||(t.line=Uc.newInstance()),t.triangle||(t.triangle=gu.newInstance()),yu(e,t)}var Cu={newInstance:sn.newInstance(Au,&quot;vtkTriangleStrip&quot;),extend:Au,...xu};const Su=[&quot;verts&quot;,&quot;lines&quot;,&quot;polys&quot;,&quot;strips&quot;],{vtkWarningMacro:Pu}=sn,wu={[Tc]:Uc,[Cc]:vu,[xc]:Uc,[yc]:gu,[bc]:Cu,[xc]:jc,[Ac]:ou};const Iu={};function Ou(e,t,n={}){Object.assign(t,Iu,n),zc.extend(e,t,n),sn.get(e,t,[&quot;cells&quot;,&quot;links&quot;]),sn.setGet(e,t,[&quot;verts&quot;,&quot;lines&quot;,&quot;polys&quot;,&quot;strips&quot;]),function(e,t){function n(e){return e.replace(/(?:^\\w|[A-Z]|\\b\\w)/g,(e=&gt;e.toUpperCase())).replace(/\\s+/g,&quot;&quot;)}function r(){t.cells=void 0,t.links=void 0}t.classHierarchy.push(&quot;vtkPolyData&quot;),Su.forEach((o=&gt;{e[`getNumberOf${n(o)}`]=()=&gt;t[o].getNumberOfCells(),t[o]?t[o]=it(t[o]):t[o]=oc.newInstance(),t[`_on${n(o)}Changed`]=r})),e.getNumberOfCells=()=&gt;Su.reduce(((e,n)=&gt;e+t[n].getNumberOfCells()),0);const o=e.shallowCopy;e.shallowCopy=(e,n=!1)=&gt;{o(e,n),Su.forEach((n=&gt;{t[n]=oc.newInstance(),t[n].shallowCopy(e.getReferenceByName(n))}))};const a=e.getMTime;e.getMTime=()=&gt;Su.reduce(((e,n)=&gt;Math.max(e,t[n]?.getMTime()??e)),a());const i=e.initialize;e.initialize=()=&gt;(Su.forEach((e=&gt;t[e]?.initialize())),r(),i()),e.buildCells=()=&gt;{const n=e.getNumberOfVerts(),r=e.getNumberOfLines(),o=e.getNumberOfPolys(),a=e.getNumberOfStrips(),i=n+r+o+a,s=new Uint8Array(i);let l=s;const c=new Uint32Array(i);let u=c;if(n){let e=0;t.verts.getCellSizes().forEach(((t,n)=&gt;{u[n]=e,l[n]=t&gt;1?vc:hc,e+=t+1})),u=u.subarray(n),l=l.subarray(n)}if(r){let e=0;t.lines.getCellSizes().forEach(((t,n)=&gt;{u[n]=e,l[n]=t&gt;2?xc:Tc,1===t&amp;&amp;Pu(&quot;Building VTK_LINE &quot;,n,&quot; with only one point, but VTK_LINE needs at least two points. Check the input.&quot;),e+=t+1})),u=u.subarray(r),l=l.subarray(r)}if(o){let e=0;t.polys.getCellSizes().forEach(((t,n)=&gt;{switch(u[n]=e,t){case 3:l[n]=yc;break;case 4:l[n]=Cc;break;default:l[n]=Ac}t&lt;3&amp;&amp;Pu(&quot;Building VTK_TRIANGLE &quot;,n,&quot; with less than three points, but VTK_TRIANGLE needs at least three points. Check the input.&quot;),e+=t+1})),u+=u.subarray(o),l+=l.subarray(o)}if(a){let e=0;l.fill(bc,0,a),t.strips.getCellSizes().forEach(((t,n)=&gt;{u[n]=e,e+=t+1}))}t.cells=Dc.newInstance(),t.cells.setCellTypes(i,s,c)},e.buildLinks=(n=0)=&gt;{null==t.cells&amp;&amp;e.buildCells(),t.links=gc.newInstance(),n&gt;0?t.links.allocate(n):t.links.allocate(e.getPoints().getNumberOfPoints()),t.links.buildLinks(e)},e.getCellType=e=&gt;t.cells.getCellType(e),e.getCellPoints=n=&gt;{const r=e.getCellType(n);let o=null;switch(r){case hc:case vc:o=t.verts;break;case Tc:case xc:o=t.lines;break;case yc:case Cc:case Ac:o=t.polys;break;case bc:o=t.strips;break;default:return o=null,{type:0,cellPointIds:null}}const a=t.cells.getCellLocation(n);return{cellType:r,cellPointIds:o.getCell(a)}},e.getPointCells=e=&gt;t.links.getCells(e),e.getCellEdgeNeighbors=(e,n,r)=&gt;{const o=t.links.getLink(n),a=t.links.getLink(r);return o.cells.filter((t=&gt;t!==e&amp;&amp;-1!==a.cells.indexOf(t)))},e.getCell=(t,n=null)=&gt;{const r=e.getCellPoints(t),o=n||wu[r.cellType].newInstance();return o.initialize(e.getPoints(),r.cellPointIds),o},e.getMaxCellSize=()=&gt;Su.reduce(((e,n)=&gt;Math.max(e,t[n]?.getMaxCellSize?.()??0)),0)}(e,t)}var Ru={newInstance:sn.newInstance(Ou,&quot;vtkPolyData&quot;),extend:Ou};const Mu={image:null,canvas:null,jsImageData:null,imageBitmap:null,imageLoaded:!1,repeat:!1,interpolate:!1,edgeClamp:!1,mipLevel:0,resizable:!1};function Du(e,t,n={}){Object.assign(t,Mu,n),sn.obj(e,t),sn.algo(e,t,6,0),sn.get(e,t,[&quot;canvas&quot;,&quot;image&quot;,&quot;jsImageData&quot;,&quot;imageBitmap&quot;,&quot;imageLoaded&quot;,&quot;resizable&quot;]),sn.setGet(e,t,[&quot;repeat&quot;,&quot;edgeClamp&quot;,&quot;interpolate&quot;,&quot;mipLevel&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkTexture&quot;),e.imageLoaded=()=&gt;{t.image.removeEventListener(&quot;load&quot;,e.imageLoaded),t.imageLoaded=!0,e.modified()},e.setJsImageData=n=&gt;{t.jsImageData!==n&amp;&amp;(null!==n&amp;&amp;(e.setInputData(null),e.setInputConnection(null),t.image=null,t.canvas=null,t.imageBitmap=null),t.jsImageData=n,t.imageLoaded=!0,e.modified())},e.setImageBitmap=n=&gt;{t.imageBitmap!==n&amp;&amp;(null!==n&amp;&amp;(e.setInputData(null),e.setInputConnection(null),t.image=null,t.canvas=null,t.jsImageData=null),t.imageBitmap=n,t.imageLoaded=!0,e.modified())},e.setCanvas=n=&gt;{t.canvas!==n&amp;&amp;(null!==n&amp;&amp;(e.setInputData(null),e.setInputConnection(null),t.image=null,t.imageBitmap=null,t.jsImageData=null),t.canvas=n,e.modified())},e.setImage=n=&gt;{t.image!==n&amp;&amp;(null!==n&amp;&amp;(e.setInputData(null),e.setInputConnection(null),t.canvas=null,t.jsImageData=null,t.imageBitmap=null),t.image=n,t.imageLoaded=!1,n.complete?e.imageLoaded():n.addEventListener(&quot;load&quot;,e.imageLoaded),e.modified())},e.getDimensionality=()=&gt;{let n=0,r=0,o=1;if(e.getInputData()){const t=e.getInputData();n=t.getDimensions()[0],r=t.getDimensions()[1],o=t.getDimensions()[2]}return t.jsImageData&amp;&amp;(n=t.jsImageData.width,r=t.jsImageData.height),t.canvas&amp;&amp;(n=t.canvas.width,r=t.canvas.height),t.image&amp;&amp;(n=t.image.width,r=t.image.height),t.imageBitmap&amp;&amp;(n=t.imageBitmap.width,r=t.imageBitmap.height),(n&gt;1)+(r&gt;1)+(o&gt;1)},e.getInputAsJsImageData=()=&gt;{if(!t.imageLoaded||e.getInputData())return null;if(t.jsImageData)return t.jsImageData;if(t.imageBitmap)return t.imageBitmap;if(t.canvas)return t.canvas.getContext(&quot;2d&quot;).getImageData(0,0,t.canvas.width,t.canvas.height);if(t.image){const e=t.image.width,n=t.image.height,r=new OffscreenCanvas(e,n).getContext(&quot;2d&quot;);return r.translate(0,n),r.scale(1,-1),r.drawImage(t.image,0,0,e,n),r.getImageData(0,0,e,n)}return null}}(e,t)}var Eu={newInstance:sn.newInstance(Du,&quot;vtkTexture&quot;),extend:Du,...{generateMipmaps:(e,t,n)=&gt;{const r=e.createShaderModule({code:&quot;\\n    @group(0) @binding(0) var inputTexture: texture_2d&lt;f32&gt;;\\n    @group(0) @binding(1) var outputTexture: texture_storage_2d&lt;rgba8unorm, write&gt;;\\n\\n    @compute @workgroup_size(8, 8)\\n    fn main(@builtin(global_invocation_id) global_id: vec3&lt;u32&gt;) {\\n      let texelCoord = vec2&lt;i32&gt;(global_id.xy);\\n      let outputSize = textureDimensions(outputTexture);\\n\\n      if (texelCoord.x &gt;= i32(outputSize.x) || texelCoord.y &gt;= i32(outputSize.y)) {\\n        return;\\n      }\\n\\n      let inputSize = textureDimensions(inputTexture);\\n      let scale = vec2&lt;f32&gt;(inputSize) / vec2&lt;f32&gt;(outputSize);\\n\\n      // Compute the floating-point source coordinate\\n      let srcCoord = (vec2&lt;f32&gt;(texelCoord) + 0.5) * scale - 0.5;\\n\\n      // Get integer coordinates for the four surrounding texels\\n      let x0 = i32(floor(srcCoord.x));\\n      let x1 = min(x0 + 1, i32(inputSize.x) - 1);\\n      let y0 = i32(floor(srcCoord.y));\\n      let y1 = min(y0 + 1, i32(inputSize.y) - 1);\\n\\n      // Compute the weights\\n      let wx = srcCoord.x - f32(x0);\\n      let wy = srcCoord.y - f32(y0);\\n\\n      // Fetch the four texels\\n      let c00 = textureLoad(inputTexture, vec2&lt;i32&gt;(x0, y0), 0);\\n      let c10 = textureLoad(inputTexture, vec2&lt;i32&gt;(x1, y0), 0);\\n      let c01 = textureLoad(inputTexture, vec2&lt;i32&gt;(x0, y1), 0);\\n      let c11 = textureLoad(inputTexture, vec2&lt;i32&gt;(x1, y1), 0);\\n\\n      // Bilinear interpolation\\n      let color = mix(\\n        mix(c00, c10, wx),\\n        mix(c01, c11, wx),\\n        wy\\n      );\\n\\n      textureStore(outputTexture, texelCoord, color);\\n    }\\n  &quot;}),o=e.createBindGroupLayout({entries:[{binding:0,visibility:GPUShaderStage.COMPUTE,texture:{sampleType:&quot;float&quot;}},{binding:1,visibility:GPUShaderStage.COMPUTE,storageTexture:{format:&quot;rgba8unorm&quot;,access:&quot;write-only&quot;}},{binding:2,visibility:GPUShaderStage.COMPUTE,sampler:{type:&quot;filtering&quot;}}]}),a=e.createPipelineLayout({bindGroupLayouts:[o]}),i=e.createComputePipeline({label:&quot;ComputeMipmapPipeline&quot;,layout:a,compute:{module:r,entryPoint:&quot;main&quot;}}),s=e.createSampler({magFilter:&quot;linear&quot;,minFilter:&quot;linear&quot;});for(let r=1;r&lt;n;r++){const n=t.createView({baseMipLevel:r-1,mipLevelCount:1}),o=t.createView({baseMipLevel:r,mipLevelCount:1}),a=e.createBindGroup({layout:i.getBindGroupLayout(0),entries:[{binding:0,resource:n},{binding:1,resource:o},{binding:2,resource:s}]}),l=e.createCommandEncoder({label:&quot;MipmapGenerateCommandEncoder&quot;}),c=l.beginComputePass();c.setPipeline(i),c.setBindGroup(0,a);const u=Math.max(1,t.width&gt;&gt;r),d=Math.max(1,t.height&gt;&gt;r),p=Math.ceil(u/8),f=Math.ceil(d/8);c.dispatchWorkgroups(p,f),c.end(),e.queue.submit([l.finish()])}}}};const Vu=[[-1,0,0],[1,0,0],[0,-1,0],[0,1,0],[0,0,-1],[0,0,1]],Lu=[[8,7,11,3],[9,1,10,5],[4,9,0,8],[2,11,6,10],[0,3,2,1],[4,5,6,7]],Bu=[[0,1],[1,3],[2,3],[0,2],[4,5],[5,7],[6,7],[4,6],[0,4],[1,5],[3,7],[2,6]],Fu=[0,1,0,1,0,1,0,1,2,2,2,2],Nu=[[1,2],[1,2],[0,2],[0,2],[0,1],[0,1]],ku=new Float64Array(3),Gu=new Float64Array(3),Uu=new Float64Array(3),_u=new Float64Array(3),Ku=new Float64Array(3),zu=new Float64Array(3),Wu=new Float64Array(16);function Hu(e,t){e.strokeStyle=t.strokeColor,e.lineWidth=t.strokeSize,e.fillStyle=t.fontColor,e.font=`${t.fontStyle} ${t.fontSize}px ${t.fontFamily}`}function ju(e){const t=[],n=[];for(let r=0;r&lt;3;r++){const o=$r().domain([e[2*r],e[2*r+1]]);t[r]=o.ticks(5);const a=o.tickFormat(5);n[r]=t[r].map(a)}return{ticks:t,tickStrings:n}}const Xu=sn.newInstance(((e,t,n={renderable:null})=&gt;{Object.assign(t,{},n),sn.obj(e,t),t.tmPolyData=Ru.newInstance(),t.tmMapper=Ql.newInstance(),t.tmMapper.setInputData(t.tmPolyData),t.tmActor=fs.newInstance({parentProp:e}),t.tmActor.setMapper(t.tmMapper),sn.setGet(e,t,[&quot;renderable&quot;]),sn.get(e,t,[&quot;lastSize&quot;,&quot;lastAspectRatio&quot;,&quot;axisTextStyle&quot;,&quot;tickTextStyle&quot;,&quot;tmActor&quot;,&quot;ticks&quot;]),t.forceUpdate=!1,t.lastRedrawTime={},sn.obj(t.lastRedrawTime,{mtime:0}),t.lastRebuildTime={},sn.obj(t.lastRebuildTime,{mtime:0}),t.lastSize=[-1,-1],t.lastTickBounds=[],function(e,t){t.classHierarchy.push(&quot;vtkCubeAxesActorHelper&quot;),e.setRenderable=n=&gt;{t.renderable!==n&amp;&amp;(t.renderable=n,t.tmActor.addTexture(t.renderable.getTmTexture()),t.tmActor.setProperty(n.getProperty()),t.tmActor.setParentProp(n),e.modified())},e.createPolyDataForOneLabel=(e,n,r,o,a,i,s)=&gt;{const l=t.renderable.get_tmAtlas().get(e);if(!l)return;const c=t.renderable.getTextPolyData().getPoints().getData(),u=t.lastSize;ku[0]=c[3*n],ku[1]=c[3*n+1],ku[2]=c[3*n+2],oe(Uu,ku,r),Uu[0]+=.1,oe(Gu,Uu,o),Z(Ku,Gu,ku),Uu[0]-=.1,Uu[1]+=.1,oe(Gu,Uu,o),Z(zu,Gu,ku);for(let e=0;e&lt;3;e++)Ku[e]/=.05*u[0],zu[e]/=.05*u[1];let d=s.ptIdx,p=s.cellIdx;ku[0]=c[3*n],ku[1]=c[3*n+1],ku[2]=c[3*n+2],a[0]&lt;-.5?$(Uu,Ku,a[0]*i-l.width):a[0]&gt;.5?$(Uu,Ku,a[0]*i):$(Uu,Ku,a[0]*i-l.width/2),J(ku,ku,Uu),$(Uu,zu,a[1]*i-l.height/2),J(ku,ku,Uu),s.points[3*d]=ku[0],s.points[3*d+1]=ku[1],s.points[3*d+2]=ku[2],s.tcoords[2*d]=l.tcoords[0],s.tcoords[2*d+1]=l.tcoords[1],d++,$(Uu,Ku,l.width),J(ku,ku,Uu),s.points[3*d]=ku[0],s.points[3*d+1]=ku[1],s.points[3*d+2]=ku[2],s.tcoords[2*d]=l.tcoords[2],s.tcoords[2*d+1]=l.tcoords[3],d++,$(Uu,zu,l.height),J(ku,ku,Uu),s.points[3*d]=ku[0],s.points[3*d+1]=ku[1],s.points[3*d+2]=ku[2],s.tcoords[2*d]=l.tcoords[4],s.tcoords[2*d+1]=l.tcoords[5],d++,$(Uu,Ku,l.width),Z(ku,ku,Uu),s.points[3*d]=ku[0],s.points[3*d+1]=ku[1],s.points[3*d+2]=ku[2],s.tcoords[2*d]=l.tcoords[6],s.tcoords[2*d+1]=l.tcoords[7],d++,s.polys[4*p]=3,s.polys[4*p+1]=d-4,s.polys[4*p+2]=d-3,s.polys[4*p+3]=d-2,p++,s.polys[4*p]=3,s.polys[4*p+1]=d-4,s.polys[4*p+2]=d-2,s.polys[4*p+3]=d-1,s.ptIdx+=4,s.cellIdx+=2},e.updateTexturePolyData=()=&gt;{const n=t.camera.getCompositeProjectionMatrix(t.lastAspectRatio,-1,1);y(n,n);const r=t.renderable.getTextValues().length,o=4*r,a=2*r,i=new Float64Array(3*o),s=new Uint16Array(4*a),l=new Float32Array(2*o);b(Wu,n);const c={ptIdx:0,cellIdx:0,polys:s,points:i,tcoords:l};let u=0,d=0,p=0;const f=t.renderable.getTextPolyData().getPoints().getData(),g=t.renderable.getTextValues();for(;u&lt;f.length/3;){ku[0]=f[3*u],ku[1]=f[3*u+1],ku[2]=f[3*u+2],oe(Uu,ku,n),ku[0]=f[3*u+3],ku[1]=f[3*u+4],ku[2]=f[3*u+5],oe(_u,ku,n),Z(Uu,Uu,_u);const r=[Uu[0],Uu[1]];Zo(r),e.createPolyDataForOneLabel(g[d],u,n,Wu,r,t.renderable.getAxisTitlePixelOffset(),c),u+=2,d++;for(let o=0;o&lt;t.renderable.getTickCounts()[p];o++)e.createPolyDataForOneLabel(g[d],u,n,Wu,r,t.renderable.getTickLabelPixelOffset(),c),u++,d++;p++}const m=Is.newInstance({numberOfComponents:2,values:l,name:&quot;TextureCoordinates&quot;});t.tmPolyData.getPointData().setTCoords(m),t.tmPolyData.getPoints().setData(i,3),t.tmPolyData.getPoints().modified(),t.tmPolyData.getPolys().setData(s,1),t.tmPolyData.getPolys().modified(),t.tmPolyData.modified()},e.updateAPISpecificData=(n,r,o)=&gt;{t.lastSize[0]===n[0]&amp;&amp;t.lastSize[1]===n[1]||(t.lastSize[0]=n[0],t.lastSize[1]=n[1],t.lastAspectRatio=n[0]/n[1],t.forceUpdate=!0),t.camera=r,e.updateTexturePolyData()}}(e,t)}),&quot;vtkCubeAxesActorHelper&quot;);function qu(e,t,n={}){fs.extend(e,t,function(e,t,n){return{boundsScaleFactor:1.3,camera:null,dataBounds:[...Hi.INIT_BOUNDS],faceVisibilityAngle:8,gridLines:!0,axisLabels:null,axisTitlePixelOffset:35,tickLabelPixelOffset:12,generateTicks:ju,...n,axisTextStyle:{fontColor:&quot;white&quot;,fontStyle:&quot;normal&quot;,fontSize:18,fontFamily:&quot;serif&quot;,...n?.axisTextStyle},tickTextStyle:{fontColor:&quot;white&quot;,fontStyle:&quot;normal&quot;,fontSize:14,fontFamily:&quot;serif&quot;,...n?.tickTextStyle}}}(0,0,n)),t.lastFacesToDraw=[!1,!1,!1,!1,!1,!1],t.axisLabels=[&quot;X-Axis&quot;,&quot;Y-Axis&quot;,&quot;Z-Axis&quot;],t.tickCounts=[],t.textValues=[],t.lastTickBounds=[],t.tmCanvas=document.createElement(&quot;canvas&quot;),t.tmContext=t.tmCanvas.getContext(&quot;2d&quot;),t._tmAtlas=new Map,t.tmTexture=Eu.newInstance({resizable:!0}),t.tmTexture.setInterpolate(!1),e.getProperty().setDiffuse(0),e.getProperty().setAmbient(1),t.gridMapper=Ql.newInstance(),t.polyData=Ru.newInstance(),t.gridMapper.setInputData(t.polyData),t.gridActor=fs.newInstance(),t.gridActor.setMapper(t.gridMapper),t.gridActor.setProperty(e.getProperty()),t.gridActor.setParentProp(e),t.textPolyData=Ru.newInstance(),sn.setGet(e,t,[&quot;axisTitlePixelOffset&quot;,&quot;boundsScaleFactor&quot;,&quot;faceVisibilityAngle&quot;,&quot;gridLines&quot;,&quot;tickLabelPixelOffset&quot;,&quot;generateTicks&quot;]),sn.setGetArray(e,t,[&quot;dataBounds&quot;],6),sn.setGetArray(e,t,[&quot;axisLabels&quot;],3),sn.get(e,t,[&quot;axisTextStyle&quot;,&quot;tickTextStyle&quot;,&quot;camera&quot;,&quot;tmTexture&quot;,&quot;textValues&quot;,&quot;textPolyData&quot;,&quot;tickCounts&quot;,&quot;gridActor&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkCubeAxesActor&quot;),e.setCamera=n=&gt;{t.camera!==n&amp;&amp;(t.cameraModifiedSub&amp;&amp;(t.cameraModifiedSub.unsubscribe(),t.cameraModifiedSub=null),t.camera=n,n&amp;&amp;(t.cameraModifiedSub=n.onModified(e.update)),e.update(),e.modified())},e.computeFacesToDraw=()=&gt;{const e=t.camera.getViewMatrix();y(e,e);let n=!1;const r=Hi.getDiagonalLength(t.dataBounds),o=Math.sin(t.faceVisibilityAngle*Math.PI/180);for(let a=0;a&lt;6;a++){let i=!1;const s=Math.floor(a/2),l=(s+1)%3,c=(s+2)%3;t.dataBounds[2*l]!==t.dataBounds[2*l+1]&amp;&amp;t.dataBounds[2*c]!==t.dataBounds[2*c+1]&amp;&amp;(ku[s]=t.dataBounds[a]-.1*r*Vu[a][s],ku[l]=.5*(t.dataBounds[2*l]+t.dataBounds[2*l+1]),ku[c]=.5*(t.dataBounds[2*c]+t.dataBounds[2*c+1]),oe(Uu,ku,e),ku[s]=t.dataBounds[a],oe(_u,ku,e),Z(Uu,_u,Uu),te(Uu,Uu),i=Uu[2]&gt;o,t.camera.getParallelProjection()||(te(_u,_u),i=ne(_u,Uu)&gt;o)),i!==t.lastFacesToDraw[a]&amp;&amp;(t.lastFacesToDraw[a]=i,n=!0)}return n},e.updatePolyData=(e,n,r)=&gt;{let o=0,a=0;o+=8;let i=0;for(let e=0;e&lt;12;e++)n[e]&gt;0&amp;&amp;i++;if(a+=i,t.gridLines)for(let t=0;t&lt;6;t++)e[t]&amp;&amp;(o+=2*r[Nu[t][0]].length+2*r[Nu[t][1]].length,a+=r[Nu[t][0]].length+r[Nu[t][1]].length);const s=new Float64Array(3*o),l=new Uint32Array(3*a);let c=0,u=0;for(let e=0;e&lt;2;e++)for(let n=0;n&lt;2;n++)for(let r=0;r&lt;2;r++)s[3*c]=t.dataBounds[r],s[3*c+1]=t.dataBounds[2+n],s[3*c+2]=t.dataBounds[4+e],c++;for(let e=0;e&lt;12;e++)n[e]&gt;0&amp;&amp;(l[3*u]=2,l[3*u+1]=Bu[e][0],l[3*u+2]=Bu[e][1],u++);if(t.gridLines)for(let n=0;n&lt;6;n++)if(e[n]){const e=Math.floor(n/2);let o=r[Nu[n][0]];for(let r=0;r&lt;o.length;r++)s[3*c+e]=t.dataBounds[n],s[3*c+Nu[n][0]]=o[r],s[3*c+Nu[n][1]]=t.dataBounds[2*Nu[n][1]],c++,s[3*c+e]=t.dataBounds[n],s[3*c+Nu[n][0]]=o[r],s[3*c+Nu[n][1]]=t.dataBounds[2*Nu[n][1]+1],c++,l[3*u]=2,l[3*u+1]=c-2,l[3*u+2]=c-1,u++;o=r[Nu[n][1]];for(let r=0;r&lt;o.length;r++)s[3*c+e]=t.dataBounds[n],s[3*c+Nu[n][1]]=o[r],s[3*c+Nu[n][0]]=t.dataBounds[2*Nu[n][0]],c++,s[3*c+e]=t.dataBounds[n],s[3*c+Nu[n][1]]=o[r],s[3*c+Nu[n][0]]=t.dataBounds[2*Nu[n][0]+1],c++,l[3*u]=2,l[3*u+1]=c-2,l[3*u+2]=c-1,u++}t.polyData.getPoints().setData(s,3),t.polyData.getPoints().modified(),t.polyData.getLines().setData(l,1),t.polyData.getLines().modified(),t.polyData.modified()},e.updateTextData=(e,n,r,o)=&gt;{let a=0;for(let e=0;e&lt;12;e++)1===n[e]&amp;&amp;(a+=2,a+=r[Fu[e]].length);const i=t.polyData.getPoints().getData(),s=new Float64Array(3*a);let l=0,c=0,u=0;for(let a=0;a&lt;6;a++)if(e[a])for(let e=0;e&lt;4;e++){const d=Lu[a][e];if(1===n[d]){const e=Fu[d],n=3*Bu[d][0],p=3*Bu[d][1];s[3*l]=.5*(i[n]+i[p]),s[3*l+1]=.5*(i[n+1]+i[p+1]),s[3*l+2]=.5*(i[n+2]+i[p+2]),l++,s[3*l+Math.floor(a/2)]=t.dataBounds[a],s[3*l+Nu[a][0]]=.5*(t.dataBounds[2*Nu[a][0]]+t.dataBounds[2*Nu[a][0]+1]),s[3*l+Nu[a][1]]=.5*(t.dataBounds[2*Nu[a][1]]+t.dataBounds[2*Nu[a][1]+1]),l++,t.textValues[c]=t.axisLabels[e],c++;const f=(e+1)%3,g=(e+2)%3,m=r[e],h=o[e];t.tickCounts[u]=m.length;for(let r=0;r&lt;m.length;r++)s[3*l+e]=m[r],s[3*l+f]=i[n+f],s[3*l+g]=i[n+g],l++,t.textValues[c]=h[r],c++;u++}}t.textPolyData.getPoints().setData(s,3),t.textPolyData.modified()},e.update=()=&gt;{if(!t.camera)return;const n=e.computeFacesToDraw(),r=t.lastFacesToDraw;let o=!1;for(let e=0;e&lt;6;e++)t.dataBounds[e]!==t.lastTickBounds[e]&amp;&amp;(o=!0,t.lastTickBounds[e]=t.dataBounds[e]);if(n||o||t.forceUpdate){const n=new Array(12).fill(0);for(let e=0;e&lt;6;e++)if(r[e])for(let t=0;t&lt;4;t++)n[Lu[e][t]]++;const a=t.generateTicks(t.dataBounds);e.updatePolyData(r,n,a.ticks),e.updateTextData(r,n,a.ticks,a.tickStrings),(o||t.forceUpdate)&amp;&amp;e.updateTextureAtlas(a.tickStrings)}t.forceUpdate=!1},e.updateTextureAtlas=e=&gt;{t.tmContext.textBaseline=&quot;bottom&quot;,t.tmContext.textAlign=&quot;left&quot;,t._tmAtlas.clear();let n=0,r=1;for(let o=0;o&lt;3;o++){if(!t._tmAtlas.has(t.axisLabels[o])){Hu(t.tmContext,t.axisTextStyle);const e=t.tmContext.measureText(t.axisLabels[o]),a={height:e.actualBoundingBoxAscent+2,startingHeight:r,width:e.width+2,textStyle:t.axisTextStyle};t._tmAtlas.set(t.axisLabels[o],a),r+=a.height,n&lt;a.width&amp;&amp;(n=a.width)}Hu(t.tmContext,t.tickTextStyle);for(let a=0;a&lt;e[o].length;a++)if(!t._tmAtlas.has(e[o][a])){const i=t.tmContext.measureText(e[o][a]),s={height:i.actualBoundingBoxAscent+2,startingHeight:r,width:i.width+2,textStyle:t.tickTextStyle};t._tmAtlas.set(e[o][a],s),r+=s.height,n&lt;s.width&amp;&amp;(n=s.width)}}n=Bo(n),r=Bo(r),t._tmAtlas.forEach((e=&gt;{e.tcoords=[0,(r-e.startingHeight-e.height)/r,e.width/n,(r-e.startingHeight-e.height)/r,e.width/n,(r-e.startingHeight)/r,0,(r-e.startingHeight)/r]})),t.tmCanvas.width=n,t.tmCanvas.height=r,t.tmContext.textBaseline=&quot;bottom&quot;,t.tmContext.textAlign=&quot;left&quot;,t.tmContext.clearRect(0,0,n,r),t._tmAtlas.forEach(((e,n)=&gt;{Hu(t.tmContext,e.textStyle),t.tmContext.fillText(n,1,e.startingHeight+e.height-1)})),t.tmTexture.setCanvas(t.tmCanvas),t.tmTexture.modified()},e.onModified((()=&gt;{t.forceUpdate=!0,e.update()})),e.setTickTextStyle=n=&gt;{t.tickTextStyle={...t.tickTextStyle,...n},e.modified()},e.setAxisTextStyle=n=&gt;{t.axisTextStyle={...t.axisTextStyle,...n},e.modified()},e.get_tmAtlas=()=&gt;t._tmAtlas,e.computeBounds=()=&gt;{e.update(),Hi.setBounds(t.bounds,t.gridActor.getBounds()),Hi.scaleAboutCenter(t.bounds,t.boundsScaleFactor,t.boundsScaleFactor,t.boundsScaleFactor)};const n=e.setProperty;e.setProperty=e=&gt;{const r=n(e);return t.gridActor.setProperty(e),r}}(e,t)}var Yu={newInstance:sn.newInstance(qu,&quot;vtkCubeAxesActor&quot;),extend:qu,newCubeAxesActorHelper:Xu,defaultGenerateTicks:ju};const Ju={};vn(&quot;vtkCubeAxesActor&quot;,Xt((function(e,t,n={}){Object.assign(t,Ju,n),pn.extend(e,t,n),t.CubeAxesActorHelper=Yu.newCubeAxesActorHelper(),function(e,t){t.classHierarchy.push(&quot;vtkOpenGLCubeAxesActor&quot;),e.buildPass=n=&gt;{n&amp;&amp;(t._openGLRenderer=e.getFirstAncestorOfType(&quot;vtkOpenGLRenderer&quot;),t._openGLRenderWindow=t._openGLRenderer.getParent(),t.CubeAxesActorHelper.getRenderable()||t.CubeAxesActorHelper.setRenderable(t.renderable),e.prepareNodes(),e.addMissingNode(t.CubeAxesActorHelper.getTmActor()),e.addMissingNode(t.renderable.getGridActor()),e.removeUnusedNodes())},e.opaquePass=(e,n)=&gt;{if(e){const e=t._openGLRenderer?t._openGLRenderer.getRenderable().getActiveCamera():null,n=t._openGLRenderer.getTiledSizeAndOrigin();t.CubeAxesActorHelper.updateAPISpecificData([n.usize,n.vsize],e,t._openGLRenderWindow.getRenderable())}}}(e,t)}),&quot;vtkOpenGLCubeAxesActor&quot;));const Zu={ARRAY_BUFFER:0,ELEMENT_ARRAY_BUFFER:1,TEXTURE_BUFFER:2};var Qu={ObjectType:Zu};const{ObjectType:$u}=Qu;const ed={objectType:$u.ARRAY_BUFFER,context:null,allocatedGPUMemoryInBytes:0};function td(e,t,n={}){Object.assign(t,ed,n),sn.obj(e,t),sn.get(e,t,[&quot;_openGLRenderWindow&quot;,&quot;allocatedGPUMemoryInBytes&quot;]),sn.moveToProtected(e,t,[&quot;openGLRenderWindow&quot;]),function(e,t){function n(e){switch(e){case $u.ELEMENT_ARRAY_BUFFER:return t.context.ELEMENT_ARRAY_BUFFER;case $u.TEXTURE_BUFFER:if(&quot;TEXTURE_BUFFER&quot;in t.context)return t.context.TEXTURE_BUFFER;case $u.ARRAY_BUFFER:default:return t.context.ARRAY_BUFFER}}t.classHierarchy.push(&quot;vtkOpenGLBufferObject&quot;);let r=null,o=null,a=!0,i=&quot;&quot;;e.getType=()=&gt;r,e.setType=e=&gt;{r=e},e.getHandle=()=&gt;o,e.isReady=()=&gt;!1===a,e.generateBuffer=e=&gt;{const a=n(e);return null===o&amp;&amp;(o=t.context.createBuffer(),r=e),n(r)===a},e.upload=(s,l)=&gt;e.generateBuffer(l)?(t.context.bindBuffer(n(r),o),t.context.bufferData(n(r),s,t.context.STATIC_DRAW),t.allocatedGPUMemoryInBytes=s.length*s.BYTES_PER_ELEMENT,a=!1,!0):(i=&quot;Trying to upload array buffer to incompatible buffer.&quot;,!1),e.bind=()=&gt;!!o&amp;&amp;(t.context.bindBuffer(n(r),o),!0),e.release=()=&gt;!!o&amp;&amp;(t.context.bindBuffer(n(r),null),!0),e.releaseGraphicsResources=()=&gt;{null!==o&amp;&amp;(t.context.bindBuffer(n(r),null),t.context.deleteBuffer(o),o=null,t.allocatedGPUMemoryInBytes=0)},e.setOpenGLRenderWindow=n=&gt;{t._openGLRenderWindow!==n&amp;&amp;(e.releaseGraphicsResources(),t._openGLRenderWindow=n,t.context=null,n&amp;&amp;(t.context=t._openGLRenderWindow.getContext()))},e.getError=()=&gt;i}(e,t)}var nd={newInstance:sn.newInstance(td),extend:td,...Qu};function rd(e){let t=0,n=0;for(let r=0;r&lt;3;++r){const o=e.getRange(r),a=o[1]-o[0];t+=a*a;const i=.5*(o[1]+o[0]);n+=i*i}const r=t&gt;0&amp;&amp;(Math.abs(n)/t&gt;1e6||Math.abs(Math.log10(t))&gt;3||0===t&amp;&amp;n&gt;1e6);if(r){const t=new Float64Array(3),n=new Float64Array(3);for(let r=0;r&lt;3;++r){const o=e.getRange(r),a=o[1]-o[0];t[r]=.5*(o[1]+o[0]),n[r]=a&gt;0?1/a:1}return{useShiftAndScale:r,coordShift:t,coordScale:n}}return{useShiftAndScale:r,coordShift:new Float32Array([0,0,0]),coordScale:new Float32Array([1,1,1])}}function od(e,t){const n=new Float64Array(3);ee(n,t);const r=new Float64Array(16);return B(r,pe(),e,n),r}const{vtkErrorMacro:ad}=sn;function id(e,t){t.classHierarchy.push(&quot;vtkOpenGLCellArrayBufferObject&quot;),e.setType(Zu.ARRAY_BUFFER),e.createVBO=(n,r,o,a,i=null)=&gt;{if(!n.getData()||!n.getData().length)return t.elementCount=0,0;t.blockSize=3,t.vertexOffset=0,t.normalOffset=0,t.tCoordOffset=0,t.tCoordComponents=0,t.colorComponents=0,t.colorOffset=0,t.customData=[];const s=a.points.getData();let l=null,c=null,u=null;const d=a.colors?a.colors.getNumberOfComponents():0,p=a.tcoords?a.tcoords.getNumberOfComponents():0;a.normals&amp;&amp;(t.normalOffset=4*t.blockSize,t.blockSize+=3,l=a.normals.getData()),a.customAttributes&amp;&amp;a.customAttributes.forEach((e=&gt;{e&amp;&amp;(t.customData.push({data:e.getData(),offset:4*t.blockSize,components:e.getNumberOfComponents(),name:e.getName()}),t.blockSize+=e.getNumberOfComponents())})),a.tcoords&amp;&amp;(t.tCoordOffset=4*t.blockSize,t.tCoordComponents=p,t.blockSize+=p,c=a.tcoords.getData()),a.colors?(t.colorComponents=a.colors.getNumberOfComponents(),t.colorOffset=0,u=a.colors.getData(),t.colorBO||(t.colorBO=nd.newInstance()),t.colorBO.setOpenGLRenderWindow(t._openGLRenderWindow)):t.colorBO=null,t.stride=4*t.blockSize;let f,g=0,m=0,h=0,v=0,T=0,x=0;const y={anythingToPoints(e,t,n,r){for(let o=0;o&lt;e;++o)f(t[n+o],r)},linesToWireframe(e,t,n,r){for(let o=0;o&lt;e-1;++o)f(t[n+o],r),f(t[n+o+1],r)},polysToWireframe(e,t,n,r){if(e&gt;2)for(let o=0;o&lt;e;++o)f(t[n+o],r),f(t[n+(o+1)%e],r)},stripsToWireframe(e,t,n,r){if(e&gt;2){for(let o=0;o&lt;e-1;++o)f(t[n+o],r),f(t[n+o+1],r);for(let o=0;o&lt;e-2;o++)f(t[n+o],r),f(t[n+o+2],r)}},polysToSurface(e,t,n,r){for(let o=0;o&lt;e-2;o++)f(t[n+0],r),f(t[n+o+1],r),f(t[n+o+2],r)},stripsToSurface(e,t,n,r){for(let o=0;o&lt;e-2;o++)f(t[n+o],r),f(t[n+o+1+o%2],r),f(t[n+o+1+(o+1)%2],r)}},b={anythingToPoints:(e,t)=&gt;e,linesToWireframe:(e,t)=&gt;e&gt;1?2*(e-1):0,polysToWireframe:(e,t)=&gt;e&gt;2?2*e:0,stripsToWireframe:(e,t)=&gt;e&gt;2?4*e-6:0,polysToSurface:(e,t)=&gt;e&gt;2?3*(e-2):0,stripsToSurface:(e,t,n)=&gt;e&gt;2?3*(e-2):0};let A=null,C=null;o===rs.POINTS||&quot;verts&quot;===r?(A=y.anythingToPoints,C=b.anythingToPoints):o===rs.WIREFRAME||&quot;lines&quot;===r?(A=y[`${r}ToWireframe`],C=b[`${r}ToWireframe`]):(A=y[`${r}ToSurface`],C=b[`${r}ToSurface`]);const S=n.getData(),P=S.length;let w=0;for(let e=0;e&lt;P;)w+=C(S[e],S),e+=S[e]+1;let I=null;const O=new Float32Array(w*t.blockSize);u&amp;&amp;(I=new Uint8Array(4*w));let R=0,M=0;const{useShiftAndScale:D,coordShift:E,coordScale:V}=rd(a.points);if(D?e.setCoordShiftAndScale(E,V):!0===t.coordShiftAndScaleEnabled&amp;&amp;e.setCoordShiftAndScale(null,null),i)if(i.points||i.cells){const e=new Int32Array(w+i.points.length);e.set(i.points),i.points=e;const t=new Int32Array(w+i.cells.length);t.set(i.cells),i.cells=t}else i.points=new Int32Array(w),i.cells=new Int32Array(w);let L=a.vertexOffset;f=function(e,n){if(i&amp;&amp;(i.points[L]=e,i.cells[L]=x+a.cellOffset),++L,g=3*e,t.coordShiftAndScaleEnabled?(O[R++]=(s[g++]-t.coordShift[0])*t.coordScale[0],O[R++]=(s[g++]-t.coordShift[1])*t.coordScale[1],O[R++]=(s[g++]-t.coordShift[2])*t.coordScale[2]):(O[R++]=s[g++],O[R++]=s[g++],O[R++]=s[g++]),null!==l&amp;&amp;(m=a.haveCellNormals?3*(x+a.cellOffset):3*e,O[R++]=l[m++],O[R++]=l[m++],O[R++]=l[m++]),t.customData.forEach((t=&gt;{T=e*t.components;for(let e=0;e&lt;t.components;++e)O[R++]=t.data[T++]})),null!==c){h=a.useTCoordsPerCell?n*p:e*p;for(let e=0;e&lt;p;++e)O[R++]=c[h++]}null!==u&amp;&amp;(v=a.haveCellScalars?(x+a.cellOffset)*d:e*d,I[M++]=u[v++],I[M++]=u[v++],I[M++]=u[v++],I[M++]=4===d?u[v++]:255)};for(let e=0;e&lt;P;e+=S[e]+1,x++)A(S[e],S,e+1,x+a.cellOffset);return t.elementCount=w,e.upload(O,Zu.ARRAY_BUFFER),t.colorBO&amp;&amp;(t.colorBOStride=4,t.colorBO.upload(I,Zu.ARRAY_BUFFER)),x},e.setCoordShiftAndScale=(e,n)=&gt;{null===e||e.constructor===Float64Array&amp;&amp;3===e.length?null===n||n.constructor===Float64Array&amp;&amp;3===n.length?(null!==t.coordShift&amp;&amp;null!==e&amp;&amp;se(e,t.coordShift)||(t.coordShift=e),null!==t.coordScale&amp;&amp;null!==n&amp;&amp;se(n,t.coordScale)||(t.coordScale=n),t.coordShiftAndScaleEnabled=function(e,t){return null!==e&amp;&amp;null!==t&amp;&amp;!(ie(e,[0,0,0])&amp;&amp;ie(t,[1,1,1]))}(t.coordShift,t.coordScale),t.coordShiftAndScaleEnabled?t.inverseShiftAndScaleMatrix=od(t.coordShift,t.coordScale):t.inverseShiftAndScaleMatrix=null):ad(&quot;Wrong type for coordScale, expected vec3 or null&quot;):ad(&quot;Wrong type for coordShift, expected vec3 or null&quot;)}}const sd={elementCount:0,stride:0,colorBOStride:0,vertexOffset:0,normalOffset:0,tCoordOffset:0,tCoordComponents:0,colorOffset:0,colorComponents:0,tcoordBO:null,customData:[],coordShift:null,coordScale:null,coordShiftAndScaleEnabled:!1,inverseShiftAndScaleMatrix:null};function ld(e,t,n={}){Object.assign(t,sd,n),nd.extend(e,t,n),sn.setGet(e,t,[&quot;colorBO&quot;,&quot;elementCount&quot;,&quot;stride&quot;,&quot;colorBOStride&quot;,&quot;vertexOffset&quot;,&quot;normalOffset&quot;,&quot;tCoordOffset&quot;,&quot;tCoordComponents&quot;,&quot;colorOffset&quot;,&quot;colorComponents&quot;,&quot;customData&quot;]),sn.get(e,t,[&quot;coordShift&quot;,&quot;coordScale&quot;,&quot;coordShiftAndScaleEnabled&quot;,&quot;inverseShiftAndScaleMatrix&quot;]),id(e,t)}var cd={newInstance:sn.newInstance(ld),extend:ld};const{vtkErrorMacro:ud}=sn;const dd={shaderType:&quot;Unknown&quot;,source:&quot;&quot;,error:&quot;&quot;,handle:0,dirty:!1,context:null};function pd(e,t,n={}){Object.assign(t,dd,n),sn.obj(e,t),sn.setGet(e,t,[&quot;shaderType&quot;,&quot;source&quot;,&quot;error&quot;,&quot;handle&quot;,&quot;context&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkShader&quot;),e.compile=()=&gt;{let e=t.context.VERTEX_SHADER;if(!t.source||!t.source.length||&quot;Unknown&quot;===t.shaderType)return!1;if(0!==t.handle&amp;&amp;(t.context.deleteShader(t.handle),t.handle=0),e=&quot;Fragment&quot;===t.shaderType?t.context.FRAGMENT_SHADER:t.context.VERTEX_SHADER,t.handle=t.context.createShader(e),t.context.shaderSource(t.handle,t.source),t.context.compileShader(t.handle),!t.context.getShaderParameter(t.handle,t.context.COMPILE_STATUS)){const e=t.context.getShaderInfoLog(t.handle);return ud(`Error compiling shader &#x27;${t.source}&#x27;: ${e}`),t.context.deleteShader(t.handle),t.handle=0,!1}return!0},e.cleanup=()=&gt;{&quot;Unknown&quot;!==t.shaderType&amp;&amp;0!==t.handle&amp;&amp;(t.context.deleteShader(t.handle),t.handle=0,t.dirty=!0)}}(e,t)}var fd={newInstance:sn.newInstance(pd,&quot;vtkShader&quot;),extend:pd};const{vtkErrorMacro:gd}=sn;const md={vertexShaderHandle:0,fragmentShaderHandle:0,geometryShaderHandle:0,vertexShader:null,fragmentShader:null,geometryShader:null,linked:!1,bound:!1,compiled:!1,error:&quot;&quot;,handle:0,numberOfOutputs:0,attributesLocs:null,uniformLocs:null,md5Hash:0,context:null,lastCameraMTime:null};function hd(e,t,n={}){Object.assign(t,md,n),t.attributesLocs={},t.uniformLocs={},t.vertexShader=fd.newInstance(),t.vertexShader.setShaderType(&quot;Vertex&quot;),t.fragmentShader=fd.newInstance(),t.fragmentShader.setShaderType(&quot;Fragment&quot;),t.geometryShader=fd.newInstance(),t.geometryShader.setShaderType(&quot;Geometry&quot;),sn.obj(e,t),sn.get(e,t,[&quot;lastCameraMTime&quot;]),sn.setGet(e,t,[&quot;error&quot;,&quot;handle&quot;,&quot;compiled&quot;,&quot;bound&quot;,&quot;md5Hash&quot;,&quot;vertexShader&quot;,&quot;fragmentShader&quot;,&quot;geometryShader&quot;,&quot;linked&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkShaderProgram&quot;),e.compileShader=()=&gt;t.vertexShader.compile()?t.fragmentShader.compile()?e.attachShader(t.vertexShader)&amp;&amp;e.attachShader(t.fragmentShader)?e.link()?(e.setCompiled(!0),1):(gd(`Links failed: ${t.error}`),0):(gd(t.error),0):(gd(t.fragmentShader.getSource().split(&quot;\\n&quot;).map(((e,t)=&gt;`${t}: ${e}`)).join(&quot;\\n&quot;)),gd(t.fragmentShader.getError()),0):(gd(t.vertexShader.getSource().split(&quot;\\n&quot;).map(((e,t)=&gt;`${t}: ${e}`)).join(&quot;\\n&quot;)),gd(t.vertexShader.getError()),0),e.cleanup=()=&gt;{&quot;Unknown&quot;!==t.shaderType&amp;&amp;0!==t.handle&amp;&amp;(e.release(),0!==t.vertexShaderHandle&amp;&amp;(t.context.detachShader(t.handle,t.vertexShaderHandle),t.vertexShaderHandle=0),0!==t.fragmentShaderHandle&amp;&amp;(t.context.detachShader(t.handle,t.fragmentShaderHandle),t.fragmentShaderHandle=0),t.context.deleteProgram(t.handle),t.handle=0,e.setCompiled(!1))},e.bind=()=&gt;!(!t.linked&amp;&amp;!e.link()||(t.context.useProgram(t.handle),e.setBound(!0),0)),e.isBound=()=&gt;!!t.bound,e.release=()=&gt;{t.context.useProgram(null),e.setBound(!1)},e.setContext=e=&gt;{t.vertexShader.setContext(e),t.fragmentShader.setContext(e),t.geometryShader.setContext(e)},e.link=()=&gt;{if(t.linked)return!0;if(0===t.handle)return t.error=&quot;Program has not been initialized, and/or does not have shaders.&quot;,!1;if(t.uniformLocs={},t.context.linkProgram(t.handle),!t.context.getProgramParameter(t.handle,t.context.LINK_STATUS)){const e=t.context.getProgramInfoLog(t.handle);return gd(`Error linking shader ${e}`),t.handle=0,!1}return e.setLinked(!0),t.attributeLocs={},!0},e.setUniformMatrix=(n,r)=&gt;{const o=e.findUniform(n);if(-1===o)return t.error=`Could not set uniform ${n} . No such uniform.`,!1;const a=new Float32Array(r);return t.context.uniformMatrix4fv(o,!1,a),!0},e.setUniformMatrix3x3=(n,r)=&gt;{const o=e.findUniform(n);if(-1===o)return t.error=`Could not set uniform ${n} . No such uniform.`,!1;const a=new Float32Array(r);return t.context.uniformMatrix3fv(o,!1,a),!0},e.setUniformf=(n,r)=&gt;{const o=e.findUniform(n);return-1===o?(t.error=`Could not set uniform ${n} . No such uniform.`,!1):(t.context.uniform1f(o,r),!0)},e.setUniformfv=(n,r)=&gt;{const o=e.findUniform(n);return-1===o?(t.error=`Could not set uniform ${n} . No such uniform.`,!1):(t.context.uniform1fv(o,r),!0)},e.setUniformi=(n,r)=&gt;{const o=e.findUniform(n);return-1===o?(t.error=`Could not set uniform ${n} . No such uniform.`,!1):(t.context.uniform1i(o,r),!0)},e.setUniformiv=(n,r)=&gt;{const o=e.findUniform(n);return-1===o?(t.error=`Could not set uniform ${n} . No such uniform.`,!1):(t.context.uniform1iv(o,r),!0)},e.setUniform2f=(n,r,o)=&gt;{const a=e.findUniform(n);if(-1===a)return t.error=`Could not set uniform ${n} . No such uniform.`,!1;if(void 0===o)throw new RangeError(&quot;Invalid number of values for array&quot;);return t.context.uniform2f(a,r,o),!0},e.setUniform2fv=(n,r)=&gt;{const o=e.findUniform(n);return-1===o?(t.error=`Could not set uniform ${n} . No such uniform.`,!1):(t.context.uniform2fv(o,r),!0)},e.setUniform2i=(n,r,o)=&gt;{const a=e.findUniform(n);if(-1===a)return t.error=`Could not set uniform ${n} . No such uniform.`,!1;if(void 0===o)throw new RangeError(&quot;Invalid number of values for array&quot;);return t.context.uniform2i(a,r,o),!0},e.setUniform2iv=(n,r)=&gt;{const o=e.findUniform(n);return-1===o?(t.error=`Could not set uniform ${n} . No such uniform.`,!1):(t.context.uniform2iv(o,r),!0)},e.setUniform3f=(n,r,o,a)=&gt;{const i=e.findUniform(n);if(-1===i)return t.error=`Could not set uniform ${n} . No such uniform.`,!1;if(void 0===a)throw new RangeError(&quot;Invalid number of values for array&quot;);return t.context.uniform3f(i,r,o,a),!0},e.setUniform3fArray=(n,r)=&gt;{const o=e.findUniform(n);if(-1===o)return t.error=`Could not set uniform ${n} . No such uniform.`,!1;if(!Array.isArray(r)||3!==r.length)throw new RangeError(&quot;Invalid number of values for array&quot;);return t.context.uniform3f(o,r[0],r[1],r[2]),!0},e.setUniform3fv=(n,r)=&gt;{const o=e.findUniform(n);return-1===o?(t.error=`Could not set uniform ${n} . No such uniform.`,!1):(t.context.uniform3fv(o,r),!0)},e.setUniform3i=(n,...r)=&gt;{const o=e.findUniform(n);if(-1===o)return t.error=`Could not set uniform ${n} . No such uniform.`,!1;let a=r;if(1===a.length&amp;&amp;Array.isArray(a[0])&amp;&amp;(a=a[0]),3!==a.length)throw new RangeError(&quot;Invalid number of values for array&quot;);return t.context.uniform3i(o,a[0],a[1],a[2]),!0},e.setUniform3iv=(n,r)=&gt;{const o=e.findUniform(n);return-1===o?(t.error=`Could not set uniform ${n} . No such uniform.`,!1):(t.context.uniform3iv(o,r),!0)},e.setUniform4f=(n,...r)=&gt;{const o=e.findUniform(n);if(-1===o)return t.error=`Could not set uniform ${n} . No such uniform.`,!1;let a=r;if(1===a.length&amp;&amp;Array.isArray(a[0])&amp;&amp;(a=a[0]),4!==a.length)throw new RangeError(&quot;Invalid number of values for array&quot;);return t.context.uniform4f(o,a[0],a[1],a[2],a[3]),!0},e.setUniform4fv=(n,r)=&gt;{const o=e.findUniform(n);return-1===o?(t.error=`Could not set uniform ${n} . No such uniform.`,!1):(t.context.uniform4fv(o,r),!0)},e.setUniform4i=(n,...r)=&gt;{const o=e.findUniform(n);if(-1===o)return t.error=`Could not set uniform ${n} . No such uniform.`,!1;let a=r;if(1===a.length&amp;&amp;Array.isArray(a[0])&amp;&amp;(a=a[0]),4!==a.length)throw new RangeError(&quot;Invalid number of values for array&quot;);return t.context.uniform4i(o,a[0],a[1],a[2],a[3]),!0},e.setUniform4iv=(n,r)=&gt;{const o=e.findUniform(n);return-1===o?(t.error=`Could not set uniform ${n} . No such uniform.`,!1):(t.context.uniform4iv(o,r),!0)},e.findUniform=e=&gt;{if(!e||!t.linked)return-1;let n=t.uniformLocs[e];return void 0!==n?n:(n=t.context.getUniformLocation(t.handle,e),null===n?(t.error=`Uniform ${e} not found in current shader program.`,t.uniformLocs[e]=-1,-1):(t.uniformLocs[e]=n,n))},e.isUniformUsed=e=&gt;{if(!e)return!1;let n=t.uniformLocs[e];return void 0!==n?null!==n:t.linked?(n=t.context.getUniformLocation(t.handle,e),t.uniformLocs[e]=n,null!==n):(gd(&quot;attempt to find uniform when the shader program is not linked&quot;),!1)},e.isAttributeUsed=e=&gt;{if(!e)return!1;if(e in t.attributeLocs)return!0;if(!t.linked)return gd(&quot;attempt to find uniform when the shader program is not linked&quot;),!1;const n=t.context.getAttribLocation(t.handle,e);return-1!==n&amp;&amp;(t.attributeLocs[e]=n,!0)},e.attachShader=n=&gt;{if(0===n.getHandle())return t.error=&quot;Shader object was not initialized, cannot attach it.&quot;,!1;if(&quot;Unknown&quot;===n.getShaderType())return t.error=&quot;Shader object is of type Unknown and cannot be used.&quot;,!1;if(0===t.handle){const e=t.context.createProgram();if(0===e)return t.error=&quot;Could not create shader program.&quot;,!1;t.handle=e,t.linked=!1}return&quot;Vertex&quot;===n.getShaderType()&amp;&amp;(0!==t.vertexShaderHandle&amp;&amp;t.context.detachShader(t.handle,t.vertexShaderHandle),t.vertexShaderHandle=n.getHandle()),&quot;Fragment&quot;===n.getShaderType()&amp;&amp;(0!==t.fragmentShaderHandle&amp;&amp;t.context.detachShader(t.handle,t.fragmentShaderHandle),t.fragmentShaderHandle=n.getHandle()),t.context.attachShader(t.handle,n.getHandle()),e.setLinked(!1),!0},e.detachShader=e=&gt;{if(0===e.getHandle())return t.error=&quot;shader object was not initialized, cannot attach it.&quot;,!1;if(&quot;Unknown&quot;===e.getShaderType())return t.error=&quot;Shader object is of type Unknown and cannot be used.&quot;,!1;switch(0===t.handle&amp;&amp;(t.error=&quot;This shader program has not been initialized yet.&quot;),e.getShaderType()){case&quot;Vertex&quot;:return t.vertexShaderHandle!==e.getHandle()?(t.error=&quot;The supplied shader was not attached to this program.&quot;,!1):(t.context.detachShader(t.handle,e.getHandle()),t.vertexShaderHandle=0,t.linked=!1,!0);case&quot;Fragment&quot;:return t.fragmentShaderHandle!==e.getHandle()?(t.error=&quot;The supplied shader was not attached to this program.&quot;,!1):(t.context.detachShader(t.handle,e.getHandle()),t.fragmentShaderHandle=0,t.linked=!1,!0);default:return!1}},e.setContext=e=&gt;{t.context=e,t.vertexShader.setContext(e),t.fragmentShader.setContext(e),t.geometryShader.setContext(e)},e.setLastCameraMTime=e=&gt;{t.lastCameraMTime=e}}(e,t)}var vd={newInstance:sn.newInstance(hd,&quot;vtkShaderProgram&quot;),extend:hd,substitute:function(e,t,n,r){const o=&quot;string&quot;==typeof n?n:n.join(&quot;\\n&quot;),a=!1===r?t:new RegExp(t,&quot;g&quot;),i=e.replace(a,o);return{replace:i!==o,result:i}}};const Td={forceEmulation:!1,handleVAO:0,handleProgram:0,supported:!0,buffers:null,context:null};function xd(e,t,n={}){Object.assign(t,Td,n),t.buffers=[],sn.obj(e,t),sn.get(e,t,[&quot;supported&quot;]),sn.setGet(e,t,[&quot;forceEmulation&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkOpenGLVertexArrayObject&quot;),e.exposedMethod=()=&gt;{},e.initialize=()=&gt;{t.instancingExtension=null,t._openGLRenderWindow.getWebgl2()||(t.instancingExtension=t.context.getExtension(&quot;ANGLE_instanced_arrays&quot;)),!t.forceEmulation&amp;&amp;t._openGLRenderWindow&amp;&amp;t._openGLRenderWindow.getWebgl2()?(t.extension=null,t.supported=!0,t.handleVAO=t.context.createVertexArray()):(t.extension=t.context.getExtension(&quot;OES_vertex_array_object&quot;),!t.forceEmulation&amp;&amp;t.extension?(t.supported=!0,t.handleVAO=t.extension.createVertexArrayOES()):t.supported=!1)},e.isReady=()=&gt;0!==t.handleVAO||!1===t.supported,e.bind=()=&gt;{if(e.isReady()||e.initialize(),e.isReady()&amp;&amp;t.supported)t.extension?t.extension.bindVertexArrayOES(t.handleVAO):t.context.bindVertexArray(t.handleVAO);else if(e.isReady()){const e=t.context;for(let n=0;n&lt;t.buffers.length;++n){const r=t.buffers[n];t.context.bindBuffer(e.ARRAY_BUFFER,r.buffer);for(let n=0;n&lt;r.attributes.length;++n){const o=r.attributes[n],a=o.isMatrix?o.size:1;for(let n=0;n&lt;a;++n)e.enableVertexAttribArray(o.index+n),e.vertexAttribPointer(o.index+n,o.size,o.type,o.normalize,o.stride,o.offset+o.stride*n/o.size),o.divisor&gt;0&amp;&amp;(t.instancingExtension?t.instancingExtension.vertexAttribDivisorANGLE(o.index+n,1):e.vertexAttribDivisor(o.index+n,1))}}}},e.release=()=&gt;{if(e.isReady()&amp;&amp;t.supported)t.extension?t.extension.bindVertexArrayOES(null):t.context.bindVertexArray(null);else if(e.isReady()){const e=t.context;for(let n=0;n&lt;t.buffers.length;++n){const r=t.buffers[n];t.context.bindBuffer(e.ARRAY_BUFFER,r.buffer);for(let n=0;n&lt;r.attributes.length;++n){const o=r.attributes[n],a=o.isMatrix?o.size:1;for(let n=0;n&lt;a;++n)e.enableVertexAttribArray(o.index+n),e.vertexAttribPointer(o.index+n,o.size,o.type,o.normalize,o.stride,o.offset+o.stride*n/o.size),o.divisor&gt;0&amp;&amp;(t.instancingExtension?t.instancingExtension.vertexAttribDivisorANGLE(o.index+n,0):e.vertexAttribDivisor(o.index+n,0)),e.disableVertexAttribArray(o.index+n)}}}},e.shaderProgramChanged=()=&gt;{e.release(),t.handleVAO&amp;&amp;(t.extension?t.extension.deleteVertexArrayOES(t.handleVAO):t.context.deleteVertexArray(t.handleVAO)),t.handleVAO=0,t.handleProgram=0},e.releaseGraphicsResources=()=&gt;{e.shaderProgramChanged(),t.handleVAO&amp;&amp;(t.extension?t.extension.deleteVertexArrayOES(t.handleVAO):t.context.deleteVertexArray(t.handleVAO)),t.handleVAO=0,t.supported=!0,t.handleProgram=0},e.addAttributeArray=(t,n,r,o,a,i,s,l)=&gt;e.addAttributeArrayWithDivisor(t,n,r,o,a,i,s,l,0,!1),e.addAttributeArrayWithDivisor=(n,r,o,a,i,s,l,c,u,d)=&gt;{if(!n)return!1;if(!n.isBound()||0===r.getHandle()||r.getType()!==Zu.ARRAY_BUFFER)return!1;if(0===t.handleProgram&amp;&amp;(t.handleProgram=n.getHandle()),e.isReady()||e.initialize(),!e.isReady()||t.handleProgram!==n.getHandle())return!1;const p=t.context,f={};if(f.name=o,f.index=p.getAttribLocation(t.handleProgram,o),f.offset=a,f.stride=i,f.type=s,f.size=l,f.normalize=c,f.isMatrix=d,f.divisor=u,-1===f.Index)return!1;if(r.bind(),p.enableVertexAttribArray(f.index),p.vertexAttribPointer(f.index,f.size,f.type,f.normalize,f.stride,f.offset),u&gt;0&amp;&amp;(t.instancingExtension?t.instancingExtension.vertexAttribDivisorANGLE(f.index,1):p.vertexAttribDivisor(f.index,1)),f.buffer=r.getHandle(),!t.supported){let e=!1;for(let n=0;n&lt;t.buffers.length;++n){const r=t.buffers[n];if(r.buffer===f.buffer){e=!0;let t=!1;for(let e=0;e&lt;r.attributes.length;++e)r.attributes[e].name===o&amp;&amp;(t=!0,r.attributes[e]=f);t||r.attributes.push(f)}}e||t.buffers.push({buffer:f.buffer,attributes:[f]})}return!0},e.addAttributeMatrixWithDivisor=(n,r,o,a,i,s,l,c,u)=&gt;{const d=e.addAttributeArrayWithDivisor(n,r,o,a,i,s,l,c,u,!0);if(!d)return d;const p=t.context,f=p.getAttribLocation(t.handleProgram,o);for(let e=1;e&lt;l;e++)p.enableVertexAttribArray(f+e),p.vertexAttribPointer(f+e,l,s,c,i,a+i*e/l),u&gt;0&amp;&amp;(t.instancingExtension?t.instancingExtension.vertexAttribDivisorANGLE(f+e,1):p.vertexAttribDivisor(f+e,1));return!0},e.removeAttributeArray=n=&gt;{if(!e.isReady()||0===t.handleProgram)return!1;if(!t.supported)for(let e=0;e&lt;t.buffers.length;++e){const r=t.buffers[e];for(let o=0;o&lt;r.attributes.length;++o)if(r.attributes[o].name===n)return r.attributes.splice(o,1),r.attributes.length||t.buffers.splice(e,1),!0}return!0},e.setOpenGLRenderWindow=n=&gt;{t._openGLRenderWindow!==n&amp;&amp;(e.releaseGraphicsResources(),t._openGLRenderWindow=n,t.context=null,n&amp;&amp;(t.context=t._openGLRenderWindow.getContext()))}}(e,t)}var yd={newInstance:sn.newInstance(xd,&quot;vtkOpenGLVertexArrayObject&quot;),extend:xd};const bd={Start:0,Points:0,Lines:1,Tris:2,TriStrips:3,TrisEdges:4,TriStripsEdges:5,End:6};const Ad={context:null,program:null,shaderSourceTime:null,VAO:null,attributeUpdateTime:null,CABO:null,primitiveType:0,pointPicking:!1};function Cd(e,t,n={}){Object.assign(t,Ad,n),sn.obj(e,t),t.shaderSourceTime={},sn.obj(t.shaderSourceTime),t.attributeUpdateTime={},sn.obj(t.attributeUpdateTime),sn.setGet(e,t,[&quot;program&quot;,&quot;shaderSourceTime&quot;,&quot;VAO&quot;,&quot;attributeUpdateTime&quot;,&quot;CABO&quot;,&quot;primitiveType&quot;,&quot;pointPicking&quot;]),t.program=vd.newInstance(),t.VAO=yd.newInstance(),t.CABO=cd.newInstance(),function(e,t){t.classHierarchy.push(&quot;vtkOpenGLHelper&quot;),e.setOpenGLRenderWindow=e=&gt;{t.context=e.getContext(),t.program.setContext(t.context),t.VAO.setOpenGLRenderWindow(e),t.CABO.setOpenGLRenderWindow(e)},e.releaseGraphicsResources=e=&gt;{t.VAO.releaseGraphicsResources(),t.CABO.releaseGraphicsResources(),t.CABO.setElementCount(0)},e.drawArrays=(n,r,o,a)=&gt;{if(t.CABO.getElementCount()){const i=e.getOpenGLMode(o),s=e.haveWideLines(n,r),l=t.context,c=l.getParameter(l.DEPTH_WRITEMASK);t.pointPicking&amp;&amp;l.depthMask(!1),i===l.LINES&amp;&amp;s?(e.updateShaders(n,r,a),l.drawArraysInstanced(i,0,t.CABO.getElementCount(),2*Math.ceil(r.getProperty().getLineWidth()))):(l.lineWidth(r.getProperty().getLineWidth()),e.updateShaders(n,r,a),l.drawArrays(i,0,t.CABO.getElementCount()),l.lineWidth(1));const u=(i===l.POINTS?1:0)||(i===l.LINES?2:3);return t.pointPicking&amp;&amp;l.depthMask(c),t.CABO.getElementCount()/u}return 0},e.getOpenGLMode=e=&gt;{if(t.pointPicking)return t.context.POINTS;const n=t.primitiveType;return e===rs.POINTS||n===bd.Points?t.context.POINTS:e===rs.WIREFRAME||n===bd.Lines||n===bd.TrisEdges||n===bd.TriStripsEdges?t.context.LINES:t.context.TRIANGLES},e.haveWideLines=(e,n)=&gt;n.getProperty().getLineWidth()&gt;1&amp;&amp;!(t.CABO.getOpenGLRenderWindow()&amp;&amp;t.CABO.getOpenGLRenderWindow().getHardwareMaximumLineWidth()&gt;=n.getProperty().getLineWidth()),e.getNeedToRebuildShaders=(t,n,r)=&gt;!!(r.getNeedToRebuildShaders(e,t,n)||0===e.getProgram()||e.getShaderSourceTime().getMTime()&lt;r.getMTime()||e.getShaderSourceTime().getMTime()&lt;n.getMTime()),e.updateShaders=(n,r,o)=&gt;{if(e.getNeedToRebuildShaders(n,r,o)){const a={Vertex:null,Fragment:null,Geometry:null};o.buildShaders(a,n,r);const i=t.CABO.getOpenGLRenderWindow().getShaderCache().readyShaderProgramArray(a.Vertex,a.Fragment,a.Geometry);i!==e.getProgram()&amp;&amp;(e.setProgram(i),e.getVAO().releaseGraphicsResources()),e.getShaderSourceTime().modified()}else t.CABO.getOpenGLRenderWindow().getShaderCache().readyShaderProgram(e.getProgram());e.getVAO().bind(),o.setMapperShaderParameters(e,n,r),o.setPropertyShaderParameters(e,n,r),o.setCameraShaderParameters(e,n,r),o.setLightingShaderParameters(e,n,r),o.invokeShaderCallbacks(e,n,r)},e.setMapperShaderParameters=(n,r,o)=&gt;{if(e.haveWideLines(n,r)){e.getProgram().setUniform2f(&quot;viewportSize&quot;,o.usize,o.vsize);const t=parseFloat(r.getProperty().getLineWidth()),n=t/2;e.getProgram().setUniformf(&quot;lineWidthStepSize&quot;,t/Math.ceil(t)),e.getProgram().setUniformf(&quot;halfLineWidth&quot;,n)}t.primitiveType===bd.Points||r.getProperty().getRepresentation()===rs.POINTS?e.getProgram().setUniformf(&quot;pointSize&quot;,r.getProperty().getPointSize()):t.pointPicking&amp;&amp;e.getProgram().setUniformf(&quot;pointSize&quot;,e.getPointPickingPrimitiveSize())},e.replaceShaderPositionVC=(n,r,o)=&gt;{let a=n.Vertex;a=vd.substitute(a,&quot;//VTK::PositionVC::Dec&quot;,[&quot;//VTK::PositionVC::Dec&quot;,&quot;uniform float pointSize;&quot;]).result,a=vd.substitute(a,&quot;//VTK::PositionVC::Impl&quot;,[&quot;//VTK::PositionVC::Impl&quot;,&quot;  gl_PointSize = pointSize;&quot;],!1).result,e.getOpenGLMode(o.getProperty().getRepresentation())===t.context.LINES&amp;&amp;e.haveWideLines(r,o)&amp;&amp;(a=vd.substitute(a,&quot;//VTK::PositionVC::Dec&quot;,[&quot;//VTK::PositionVC::Dec&quot;,&quot;uniform vec2 viewportSize;&quot;,&quot;uniform float lineWidthStepSize;&quot;,&quot;uniform float halfLineWidth;&quot;]).result,a=vd.substitute(a,&quot;//VTK::PositionVC::Impl&quot;,[&quot;//VTK::PositionVC::Impl&quot;,&quot; if (halfLineWidth &gt; 0.0)&quot;,&quot;   {&quot;,&quot;   float offset = float(gl_InstanceID / 2) * lineWidthStepSize - halfLineWidth;&quot;,&quot;   vec4 tmpPos = gl_Position;&quot;,&quot;   vec3 tmpPos2 = tmpPos.xyz / tmpPos.w;&quot;,&quot;   tmpPos2.x = tmpPos2.x + 2.0 * mod(float(gl_InstanceID), 2.0) * offset / viewportSize[0];&quot;,&quot;   tmpPos2.y = tmpPos2.y + 2.0 * mod(float(gl_InstanceID + 1), 2.0) * offset / viewportSize[1];&quot;,&quot;   gl_Position = vec4(tmpPos2.xyz * tmpPos.w, tmpPos.w);&quot;,&quot;   }&quot;]).result),n.Vertex=a},e.getPointPickingPrimitiveSize=()=&gt;t.primitiveType===bd.Points?2:t.primitiveType===bd.Lines?4:6,e.getAllocatedGPUMemoryInBytes=()=&gt;e.getCABO().getAllocatedGPUMemoryInBytes()}(e,t)}var Sd={newInstance:sn.newInstance(Cd),extend:Cd,primTypes:bd};const Pd={CLAMP_TO_EDGE:0,REPEAT:1,MIRRORED_REPEAT:2},wd={NEAREST:0,LINEAR:1,NEAREST_MIPMAP_NEAREST:2,NEAREST_MIPMAP_LINEAR:3,LINEAR_MIPMAP_NEAREST:4,LINEAR_MIPMAP_LINEAR:5};var Id={Wrap:Pd,Filter:wd};const Od=new Float32Array(1),Rd=new Int32Array(Od.buffer);var Md={fromHalf:function(e){const t=(32768&amp;e)&gt;&gt;15,n=(31744&amp;e)&gt;&gt;10,r=1023&amp;e;return 0===n?(t?-1:1)*2**-14*(r/1024):31===n?r?NaN:1/0*(t?-1:1):(t?-1:1)*2**(n-15)*(1+r/1024)},toHalf:function(e){Od[0]=e;const t=Rd[0];let n=t&gt;&gt;16&amp;32768,r=t&gt;&gt;12&amp;2047;const o=t&gt;&gt;23&amp;255;return o&lt;103?n:o&gt;142?(n|=31744,n|=(255===o?0:1)&amp;&amp;8388607&amp;t,n):o&lt;113?(r|=2048,n|=(r&gt;&gt;114-o)+(r&gt;&gt;113-o&amp;1),n):(n|=o-112&lt;&lt;10|r&gt;&gt;1,n+=1&amp;r,n)}};let Dd;function Ed(){return void 0===Dd&amp;&amp;(Dd=function(){try{const e=4,t=2,n=1,r=new Int16Array([0,32767]),o=[1,1],a=document.createElement(&quot;canvas&quot;);a.width=e,a.height=e;const i=a.getContext(&quot;webgl2&quot;);if(!i)return!1;const s=i.getExtension(&quot;EXT_texture_norm16&quot;);if(!s)return!1;const l=`#version 300 es\\n    void main() {\\n      gl_PointSize = ${e.toFixed(1)};\\n      gl_Position = vec4(0, 0, 0, 1);\\n    }\\n  `,c=&quot;#version 300 es\\n    precision highp float;\\n    precision highp int;\\n    precision highp sampler2D;\\n\\n    uniform sampler2D u_image;\\n\\n    out vec4 color;\\n\\n    void main() {\\n        vec4 intColor = texture(u_image, gl_PointCoord.xy);\\n        color = vec4(vec3(intColor.rrr), 1);\\n    }\\n    &quot;,u=i.createShader(i.VERTEX_SHADER);if(i.shaderSource(u,l),i.compileShader(u),!i.getShaderParameter(u,i.COMPILE_STATUS))return!1;const d=i.createShader(i.FRAGMENT_SHADER);if(i.shaderSource(d,c),i.compileShader(d),!i.getShaderParameter(d,i.COMPILE_STATUS))return!1;const p=i.createProgram();if(i.attachShader(p,u),i.attachShader(p,d),i.linkProgram(p),!i.getProgramParameter(p,i.LINK_STATUS))return!1;const f=i.createTexture();i.bindTexture(i.TEXTURE_2D,f),i.texImage2D(i.TEXTURE_2D,0,s.R16_SNORM_EXT,t,n,0,i.RED,i.SHORT,r),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MAG_FILTER,i.LINEAR),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MIN_FILTER,i.LINEAR),i.useProgram(p),i.drawArrays(i.POINTS,0,1);const g=new Uint8Array(4);i.readPixels(o[0],o[1],1,1,i.RGBA,i.UNSIGNED_BYTE,g);const[m,h,v]=g,T=i.getExtension(&quot;WEBGL_lose_context&quot;);return T&amp;&amp;T.loseContext(),m===h&amp;&amp;h===v&amp;&amp;0!==m}catch(e){return!1}}()),Dd}const{Wrap:Vd,Filter:Ld}=Id,{VtkDataTypes:Bd}=Is,{vtkDebugMacro:Fd,vtkErrorMacro:Nd,vtkWarningMacro:kd,requiredParam:Gd}=ln,{toHalf:Ud}=Md;function _d(e,t){function n(){return{internalFormat:t.internalFormat,format:t.format,openGLDataType:t.openGLDataType,width:t.width,height:t.height}}t.classHierarchy.push(&quot;vtkOpenGLTexture&quot;),e.render=(n=null)=&gt;{if(n?t._openGLRenderWindow=n:(t._openGLRenderer=e.getFirstAncestorOfType(&quot;vtkOpenGLRenderer&quot;),t._openGLRenderWindow=t._openGLRenderer.getLastAncestorOfType(&quot;vtkOpenGLRenderWindow&quot;)),t.context=t._openGLRenderWindow.getContext(),t.renderable.getInterpolate()?(t.generateMipmap?e.setMinificationFilter(Ld.LINEAR_MIPMAP_LINEAR):e.setMinificationFilter(Ld.LINEAR),e.setMagnificationFilter(Ld.LINEAR)):(e.setMinificationFilter(Ld.NEAREST),e.setMagnificationFilter(Ld.NEAREST)),t.renderable.getRepeat()&amp;&amp;(e.setWrapR(Vd.REPEAT),e.setWrapS(Vd.REPEAT),e.setWrapT(Vd.REPEAT)),t.renderable.getInputData()&amp;&amp;t.renderable.setImage(null),!t.handle||t.renderable.getMTime()&gt;t.textureBuildTime.getMTime()){if(null!==t.renderable.getImageBitmap()&amp;&amp;(t.renderable.getInterpolate()&amp;&amp;(t.generateMipmap=!0,e.setMinificationFilter(Ld.LINEAR_MIPMAP_LINEAR)),t.renderable.getImageBitmap()&amp;&amp;t.renderable.getImageLoaded()&amp;&amp;(e.create2DFromImageBitmap(t.renderable.getImageBitmap()),e.activate(),e.sendParameters(),t.textureBuildTime.modified())),null!==t.renderable.getImage()&amp;&amp;(t.renderable.getInterpolate()&amp;&amp;(t.generateMipmap=!0,e.setMinificationFilter(Ld.LINEAR_MIPMAP_LINEAR)),t.renderable.getImage()&amp;&amp;t.renderable.getImageLoaded()&amp;&amp;(e.create2DFromImage(t.renderable.getImage()),e.activate(),e.sendParameters(),t.textureBuildTime.modified())),null!==t.renderable.getCanvas()){t.renderable.getInterpolate()&amp;&amp;(t.generateMipmap=!0,e.setMinificationFilter(Ld.LINEAR_MIPMAP_LINEAR));const n=t.renderable.getCanvas();e.create2DFromRaw({width:n.width,height:n.height,numComps:4,dataType:Bd.UNSIGNED_CHAR,data:n,flip:!0}),e.activate(),e.sendParameters(),t.textureBuildTime.modified()}if(null!==t.renderable.getJsImageData()){const n=t.renderable.getJsImageData();t.renderable.getInterpolate()&amp;&amp;(t.generateMipmap=!0,e.setMinificationFilter(Ld.LINEAR_MIPMAP_LINEAR)),e.create2DFromRaw({width:n.width,height:n.height,numComps:4,dataType:Bd.UNSIGNED_CHAR,data:n.data,flip:!0}),e.activate(),e.sendParameters(),t.textureBuildTime.modified()}const n=t.renderable.getInputData(0);if(n&amp;&amp;n.getPointData().getScalars()){const r=n.getExtent(),o=n.getPointData().getScalars(),a=[];for(let e=0;e&lt;t.renderable.getNumberOfInputPorts();++e){const n=t.renderable.getInputData(e),r=n?n.getPointData().getScalars().getData():null;r&amp;&amp;a.push(r)}t.renderable.getInterpolate()&amp;&amp;4===o.getNumberOfComponents()&amp;&amp;(t.generateMipmap=!0,e.setMinificationFilter(Ld.LINEAR_MIPMAP_LINEAR)),a.length%6==0?e.createCubeFromRaw({width:r[1]-r[0]+1,height:r[3]-r[2]+1,numComps:o.getNumberOfComponents(),dataType:o.getDataType(),data:a}):e.create2DFromRaw({width:r[1]-r[0]+1,height:r[3]-r[2]+1,numComps:o.getNumberOfComponents(),dataType:o.getDataType(),data:o.getData()}),e.activate(),e.sendParameters(),t.textureBuildTime.modified()}}t.handle&amp;&amp;e.activate()};const r=()=&gt;{if(t.minificationFilter!==Ld.LINEAR&amp;&amp;t.magnificationFilter!==Ld.LINEAR||Ed())return t.oglNorm16Ext};function o(e){const[t,n,r,o,a,i]=e;return[n-t+1,o-r+1,i-a+1]}function a(e){const[t,n,r]=o(e);return t*n*r}function i(e,n,r=null){const o=new(r||e.constructor)(n.reduce(((e,t)=&gt;e+a(t)),0)),i=[t.width,t.height,t.depth];let s=0;return n.forEach((t=&gt;{!function(e,t,n,r,o){const[a,i,s,l,c,u]=n,[d,p]=t,f=d*p;let g=o;for(let t=c;t&lt;=u;t++){const n=t*f;for(let t=s;t&lt;=l;t++){const o=n+t*d;for(let t=o+a,n=o+i;t&lt;=n;t++,g++)r[g]=e[t]}}}(e,i,t,o,s),s+=a(t)})),o}function s(e){if(t._openGLRenderWindow.getWebgl2())return e;const n=[],r=t.width,o=t.height,a=t.components;if(e&amp;&amp;(!Fo(r)||!Fo(o))){const i=t.context.getExtension(&quot;OES_texture_half_float&quot;),s=Bo(r),l=Bo(o),c=s*l*t.components;for(let u=0;u&lt;e.length;u++)if(null!==e[u]){let d=null;const p=o/l,f=r/s;let g=!1;t.openGLDataType===t.context.FLOAT?d=new Float32Array(c):i&amp;&amp;t.openGLDataType===i.HALF_FLOAT_OES?(d=new Uint16Array(c),g=!0):d=new Uint8Array(c);for(let t=0;t&lt;l;t++){const n=t*s*a,i=t*p;let l=Math.floor(i),c=Math.ceil(i);c&gt;=o&amp;&amp;(c=o-1);const m=i-l,h=1-m;l=l*r*a,c=c*r*a;for(let t=0;t&lt;s;t++){const o=t*a,i=t*f;let s=Math.floor(i),p=Math.ceil(i);p&gt;=r&amp;&amp;(p=r-1);const v=i-s;s*=a,p*=a;for(let t=0;t&lt;a;t++)d[n+o+t]=g?Md.toHalf(Md.fromHalf(e[u][l+s+t])*h*(1-v)+Md.fromHalf(e[u][l+p+t])*h*v+Md.fromHalf(e[u][c+s+t])*m*(1-v)+Md.fromHalf(e[u][c+p+t])*m*v):e[u][l+s+t]*h*(1-v)+e[u][l+p+t]*h*v+e[u][c+s+t]*m*(1-v)+e[u][c+p+t]*m*v}}n.push(d),t.width=s,t.height=l}else n.push(null)}if(0===n.length)for(let t=0;t&lt;e.length;t++)n.push(e[t]);return n}function l(e){if(t._openGLRenderWindow){if(t.resizable||t.renderable?.getResizable())return!1;if(t._openGLRenderWindow.getWebgl2()){return!(t._openGLRenderWindow.getGLInformations().RENDERER.value.match(/WebKit/gi)&amp;&amp;navigator.platform.match(/Mac/gi)&amp;&amp;r())||e!==Bd.UNSIGNED_SHORT&amp;&amp;e!==Bd.SHORT}return!1}return!1}function c(n,r){const o=n.getNumberOfComponents(),a=n.getDataType(),i=n.getData(),s=new Array(o),l=new Array(o);for(let e=0;e&lt;o;++e){const[t,r]=n.getRange(e);s[e]=t,l[e]=r}const c=function(e,t,n){const r=new Array(n),o=new Array(n);for(let a=0;a&lt;n;++a)r[a]=e[a],o[a]=t[a]-e[a]||1;return{scale:o,offset:r}}(s,l,o);return function(n,r,o,a){e.getOpenGLDataType(n);const i=function(e,t){for(let n=0;n&lt;e.length;n++){const r=e[n],o=t[n]+r;if(r&lt;-2048||r&gt;2048||o&lt;-2048||o&gt;2048)return!1}return!0}(r,o)||a;let s=!1;if(t._openGLRenderWindow.getWebgl2())s=t.openGLDataType===t.context.FLOAT&amp;&amp;null===t.context.getExtension(&quot;OES_texture_float_linear&quot;)&amp;&amp;i||t.openGLDataType===t.context.HALF_FLOAT;else{const e=t.context.getExtension(&quot;OES_texture_half_float&quot;);s=e&amp;&amp;t.openGLDataType===e.HALF_FLOAT_OES}t.canUseHalfFloat=s&amp;&amp;i}(a,c.offset,c.scale,r),e.useHalfFloat()||e.getOpenGLDataType(a,!0),{numComps:o,dataType:a,data:i,scaleOffsets:c}}e.destroyTexture=()=&gt;{e.deactivate(),t.context&amp;&amp;t.handle&amp;&amp;t.context.deleteTexture(t.handle),t._prevTexParams=null,t.handle=0,t.numberOfDimensions=0,t.target=0,t.components=0,t.width=0,t.height=0,t.depth=0,e.resetFormatAndType()},e.createTexture=()=&gt;{t.handle||(t.handle=t.context.createTexture(),t.target&amp;&amp;(t.context.bindTexture(t.target,t.handle),t.context.texParameteri(t.target,t.context.TEXTURE_MIN_FILTER,e.getOpenGLFilterMode(t.minificationFilter)),t.context.texParameteri(t.target,t.context.TEXTURE_MAG_FILTER,e.getOpenGLFilterMode(t.magnificationFilter)),t.context.texParameteri(t.target,t.context.TEXTURE_WRAP_S,e.getOpenGLWrapMode(t.wrapS)),t.context.texParameteri(t.target,t.context.TEXTURE_WRAP_T,e.getOpenGLWrapMode(t.wrapT)),t._openGLRenderWindow.getWebgl2()&amp;&amp;t.context.texParameteri(t.target,t.context.TEXTURE_WRAP_R,e.getOpenGLWrapMode(t.wrapR)),t.context.bindTexture(t.target,null)))},e.getTextureUnit=()=&gt;t._openGLRenderWindow?t._openGLRenderWindow.getTextureUnitForTexture(e):-1,e.activate=()=&gt;{t._openGLRenderWindow.activateTexture(e),e.bind()},e.deactivate=()=&gt;{t._openGLRenderWindow&amp;&amp;t._openGLRenderWindow.deactivateTexture(e)},e.releaseGraphicsResources=n=&gt;{n&amp;&amp;t.handle&amp;&amp;(n.activateTexture(e),n.deactivateTexture(e),t.context.deleteTexture(t.handle),t._prevTexParams=null,t.handle=0,t.numberOfDimensions=0,t.target=0,t.internalFormat=0,t.format=0,t.openGLDataType=0,t.components=0,t.width=0,t.height=0,t.depth=0,t.allocatedGPUMemoryInBytes=0),t.shaderProgram&amp;&amp;(t.shaderProgram.releaseGraphicsResources(n),t.shaderProgram=null)},e.bind=()=&gt;{t.context.bindTexture(t.target,t.handle),t.autoParameters&amp;&amp;e.getMTime()&gt;t.sendParametersTime.getMTime()&amp;&amp;e.sendParameters()},e.isBound=()=&gt;{let e=!1;if(t.context&amp;&amp;t.handle){let n=0;if(t.target===t.context.TEXTURE_2D)n=t.context.TEXTURE_BINDING_2D;else kd(&quot;impossible case&quot;);e=t.context.getIntegerv(n)===t.handle}return e},e.sendParameters=()=&gt;{t.context.texParameteri(t.target,t.context.TEXTURE_WRAP_S,e.getOpenGLWrapMode(t.wrapS)),t.context.texParameteri(t.target,t.context.TEXTURE_WRAP_T,e.getOpenGLWrapMode(t.wrapT)),t._openGLRenderWindow.getWebgl2()&amp;&amp;t.context.texParameteri(t.target,t.context.TEXTURE_WRAP_R,e.getOpenGLWrapMode(t.wrapR)),t.context.texParameteri(t.target,t.context.TEXTURE_MIN_FILTER,e.getOpenGLFilterMode(t.minificationFilter)),t.context.texParameteri(t.target,t.context.TEXTURE_MAG_FILTER,e.getOpenGLFilterMode(t.magnificationFilter)),t._openGLRenderWindow.getWebgl2()&amp;&amp;(t.context.texParameteri(t.target,t.context.TEXTURE_BASE_LEVEL,t.baseLevel),t.context.texParameteri(t.target,t.context.TEXTURE_MAX_LEVEL,t.maxLevel)),t.sendParametersTime.modified()},e.getInternalFormat=(n,r)=&gt;(t._forceInternalFormat||(t.internalFormat=e.getDefaultInternalFormat(n,r)),t.internalFormat||Fd(`Unable to find suitable internal format for T=${n} NC= ${r}`),[t.context.R32F,t.context.RG32F,t.context.RGB32F,t.context.RGBA32F].includes(t.internalFormat)&amp;&amp;!t.context.getExtension(&quot;OES_texture_float_linear&quot;)&amp;&amp;kd(&quot;Failed to load OES_texture_float_linear. Texture filtering is not available for *32F internal formats.&quot;),t.internalFormat),e.getDefaultInternalFormat=(n,o)=&gt;{let a=0;return a=t._openGLRenderWindow.getDefaultTextureInternalFormat(n,o,r(),e.useHalfFloat()),a||(a||(Fd(&quot;Unsupported internal texture type!&quot;),Fd(`Unable to find suitable internal format for T=${n} NC= ${o}`)),a)},e.useHalfFloat=()=&gt;t.enableUseHalfFloat&amp;&amp;t.canUseHalfFloat,e.setInternalFormat=n=&gt;{t._forceInternalFormat=!0,n!==t.internalFormat&amp;&amp;(t.internalFormat=n,e.modified())},e.getFormat=(n,r)=&gt;(t.format=e.getDefaultFormat(n,r),t.format),e.getDefaultFormat=(e,n)=&gt;{if(t._openGLRenderWindow.getWebgl2())switch(n){case 1:return t.context.RED;case 2:return t.context.RG;case 3:default:return t.context.RGB;case 4:return t.context.RGBA}else switch(n){case 1:return t.context.LUMINANCE;case 2:return t.context.LUMINANCE_ALPHA;case 3:default:return t.context.RGB;case 4:return t.context.RGBA}},e.resetFormatAndType=()=&gt;{t._prevTexParams=null,t.format=0,t.internalFormat=0,t._forceInternalFormat=!1,t.openGLDataType=0},e.getDefaultDataType=n=&gt;{const o=e.useHalfFloat();if(t._openGLRenderWindow.getWebgl2())switch(n){case Bd.UNSIGNED_CHAR:return t.context.UNSIGNED_BYTE;case r()&amp;&amp;!o&amp;&amp;Bd.SHORT:return t.context.SHORT;case r()&amp;&amp;!o&amp;&amp;Bd.UNSIGNED_SHORT:return t.context.UNSIGNED_SHORT;case o&amp;&amp;Bd.SHORT:case o&amp;&amp;Bd.UNSIGNED_SHORT:return t.context.HALF_FLOAT;case Bd.FLOAT:case Bd.VOID:default:return t.context.FLOAT}switch(n){case Bd.UNSIGNED_CHAR:return t.context.UNSIGNED_BYTE;case Bd.FLOAT:case Bd.VOID:default:if(t.context.getExtension(&quot;OES_texture_float&quot;)&amp;&amp;t.context.getExtension(&quot;OES_texture_float_linear&quot;))return t.context.FLOAT;{const e=t.context.getExtension(&quot;OES_texture_half_float&quot;);if(e&amp;&amp;t.context.getExtension(&quot;OES_texture_half_float_linear&quot;))return e.HALF_FLOAT_OES}return t.context.UNSIGNED_BYTE}},e.getOpenGLDataType=(n,r=!1)=&gt;(t.openGLDataType&amp;&amp;!r||(t.openGLDataType=e.getDefaultDataType(n)),t.openGLDataType),e.getShiftAndScale=()=&gt;{let e=0,n=1;switch(t.openGLDataType){case t.context.BYTE:n=127.5,e=n-128;break;case t.context.UNSIGNED_BYTE:n=255,e=0;break;case t.context.SHORT:n=32767.5,e=n-32768;break;case t.context.UNSIGNED_SHORT:n=65536,e=0;break;case t.context.INT:n=2147483647.5,e=n-2147483648;break;case t.context.UNSIGNED_INT:n=4294967295,e=0;case t.context.FLOAT:}return{shift:e,scale:n}},e.getOpenGLFilterMode=e=&gt;{switch(e){case Ld.NEAREST:return t.context.NEAREST;case Ld.LINEAR:return t.context.LINEAR;case Ld.NEAREST_MIPMAP_NEAREST:return t.context.NEAREST_MIPMAP_NEAREST;case Ld.NEAREST_MIPMAP_LINEAR:return t.context.NEAREST_MIPMAP_LINEAR;case Ld.LINEAR_MIPMAP_NEAREST:return t.context.LINEAR_MIPMAP_NEAREST;case Ld.LINEAR_MIPMAP_LINEAR:return t.context.LINEAR_MIPMAP_LINEAR;default:return t.context.NEAREST}},e.getOpenGLWrapMode=e=&gt;{switch(e){case Vd.CLAMP_TO_EDGE:return t.context.CLAMP_TO_EDGE;case Vd.REPEAT:return t.context.REPEAT;case Vd.MIRRORED_REPEAT:return t.context.MIRRORED_REPEAT;default:return t.context.CLAMP_TO_EDGE}},e.updateArrayDataTypeForGL=(e,n,r=!1,o=[])=&gt;{const a=[];let s=t.width*t.height*t.components;r&amp;&amp;(s*=t.depth);const l=!!o.length;if(e!==Bd.FLOAT&amp;&amp;t.openGLDataType===t.context.FLOAT)for(let e=0;e&lt;n.length;e++)if(n[e])if(l)a.push(i(n[e],o,Float32Array));else{const t=n[e].length&gt;s?n[e].subarray(0,s):n[e];a.push(new Float32Array(t))}else a.push(null);if(e!==Bd.UNSIGNED_CHAR&amp;&amp;t.openGLDataType===t.context.UNSIGNED_BYTE)for(let e=0;e&lt;n.length;e++)if(n[e])if(l)a.push(i(n[e],o,Uint8Array));else{const t=n[e].length&gt;s?n[e].subarray(0,s):n[e];a.push(new Uint8Array(t))}else a.push(null);let c=!1;if(t._openGLRenderWindow.getWebgl2())c=t.openGLDataType===t.context.HALF_FLOAT;else{const e=t.context.getExtension(&quot;OES_texture_half_float&quot;);c=e&amp;&amp;t.openGLDataType===e.HALF_FLOAT_OES}if(c)for(let e=0;e&lt;n.length;e++)if(n[e]){const t=l?i(n[e],o):n[e],r=new Uint16Array(l?t.length:s),c=r.length;for(let e=0;e&lt;c;e++)r[e]=Ud(t[e]);a.push(r)}else a.push(null);if(0===a.length)for(let e=0;e&lt;n.length;e++)a.push(l&amp;&amp;n[e]?i(n[e],o):n[e]);return a},e.create2DFromRaw=({width:n=Gd(&quot;width&quot;),height:o=Gd(&quot;height&quot;),numComps:a=Gd(&quot;numComps&quot;),dataType:i=Gd(&quot;dataType&quot;),data:c=Gd(&quot;data&quot;),flip:u=!1}={})=&gt;{if(e.getOpenGLDataType(i,!0),e.getInternalFormat(i,a),e.getFormat(i,a),!t.internalFormat||!t.format||!t.openGLDataType)return Nd(&quot;Failed to determine texture parameters.&quot;),!1;t.target=t.context.TEXTURE_2D,t.components=a,t.width=n,t.height=o,t.depth=1,t.numberOfDimensions=2,t._openGLRenderWindow.activateTexture(e),e.createTexture(),e.bind();const d=[c],p=s(e.updateArrayDataTypeForGL(i,d));return t.context.pixelStorei(t.context.UNPACK_FLIP_Y_WEBGL,u),t.context.pixelStorei(t.context.UNPACK_ALIGNMENT,1),l(i)?(t.context.texStorage2D(t.target,1,t.internalFormat,t.width,t.height),null!=p[0]&amp;&amp;t.context.texSubImage2D(t.target,0,0,0,t.width,t.height,t.format,t.openGLDataType,p[0])):t.context.texImage2D(t.target,0,t.internalFormat,t.width,t.height,0,t.format,t.openGLDataType,p[0]),t.generateMipmap&amp;&amp;t.context.generateMipmap(t.target),u&amp;&amp;t.context.pixelStorei(t.context.UNPACK_FLIP_Y_WEBGL,!1),t.allocatedGPUMemoryInBytes=t.width*t.height*t.depth*a*t._openGLRenderWindow.getDefaultTextureByteSize(i,r(),e.useHalfFloat()),e.deactivate(),!0},e.createCubeFromRaw=({width:n=Gd(&quot;width&quot;),height:o=Gd(&quot;height&quot;),numComps:a=Gd(&quot;numComps&quot;),dataType:i=Gd(&quot;dataType&quot;),data:c=Gd(&quot;data&quot;)}={})=&gt;{if(e.getOpenGLDataType(i),e.getInternalFormat(i,a),e.getFormat(i,a),!t.internalFormat||!t.format||!t.openGLDataType)return Nd(&quot;Failed to determine texture parameters.&quot;),!1;t.target=t.context.TEXTURE_CUBE_MAP,t.components=a,t.width=n,t.height=o,t.depth=1,t.numberOfDimensions=2,t._openGLRenderWindow.activateTexture(e),t.maxLevel=c.length/6-1,e.createTexture(),e.bind();const u=s(e.updateArrayDataTypeForGL(i,c)),d=[];let p=t.width,f=t.height;for(let e=0;e&lt;u.length;e++){e%6==0&amp;&amp;0!==e&amp;&amp;(p/=2,f/=2),d[e]=Ct(i,f*p*t.components);for(let n=0;n&lt;f;++n){const r=n*p*t.components,o=(f-n-1)*p*t.components;d[e].set(u[e].slice(o,o+p*t.components),r)}}t.context.pixelStorei(t.context.UNPACK_ALIGNMENT,1),l(i)&amp;&amp;t.context.texStorage2D(t.target,6,t.internalFormat,t.width,t.height);for(let e=0;e&lt;6;e++){let n=0,r=t.width,o=t.height;for(;r&gt;=1&amp;&amp;o&gt;=1;){let a=null;n&lt;=t.maxLevel&amp;&amp;(a=d[6*n+e]),l(i)?null!=a&amp;&amp;t.context.texSubImage2D(t.context.TEXTURE_CUBE_MAP_POSITIVE_X+e,n,0,0,r,o,t.format,t.openGLDataType,a):t.context.texImage2D(t.context.TEXTURE_CUBE_MAP_POSITIVE_X+e,n,t.internalFormat,r,o,0,t.format,t.openGLDataType,a),n++,r/=2,o/=2}}return t.allocatedGPUMemoryInBytes=t.width*t.height*t.depth*a*t._openGLRenderWindow.getDefaultTextureByteSize(i,r(),e.useHalfFloat()),e.deactivate(),!0},e.createDepthFromRaw=({width:n=Gd(&quot;width&quot;),height:o=Gd(&quot;height&quot;),dataType:a=Gd(&quot;dataType&quot;),data:i=Gd(&quot;data&quot;)}={})=&gt;(e.getOpenGLDataType(a),t.format=t.context.DEPTH_COMPONENT,t._openGLRenderWindow.getWebgl2()?a===Bd.FLOAT?t.internalFormat=t.context.DEPTH_COMPONENT32F:t.internalFormat=t.context.DEPTH_COMPONENT16:t.internalFormat=t.context.DEPTH_COMPONENT,t.internalFormat&amp;&amp;t.format&amp;&amp;t.openGLDataType?(t.target=t.context.TEXTURE_2D,t.components=1,t.width=n,t.height=o,t.depth=1,t.numberOfDimensions=2,t._openGLRenderWindow.activateTexture(e),e.createTexture(),e.bind(),t.context.pixelStorei(t.context.UNPACK_ALIGNMENT,1),l(a)?(t.context.texStorage2D(t.target,1,t.internalFormat,t.width,t.height),null!=i&amp;&amp;t.context.texSubImage2D(t.target,0,0,0,t.width,t.height,t.format,t.openGLDataType,i)):t.context.texImage2D(t.target,0,t.internalFormat,t.width,t.height,0,t.format,t.openGLDataType,i),t.generateMipmap&amp;&amp;t.context.generateMipmap(t.target),t.allocatedGPUMemoryInBytes=t.width*t.height*t.depth*t.components*t._openGLRenderWindow.getDefaultTextureByteSize(a,r(),e.useHalfFloat()),e.deactivate(),!0):(Nd(&quot;Failed to determine texture parameters.&quot;),!1)),e.create2DFromImage=n=&gt;{if(e.getOpenGLDataType(Bd.UNSIGNED_CHAR),e.getInternalFormat(Bd.UNSIGNED_CHAR,4),e.getFormat(Bd.UNSIGNED_CHAR,4),!t.internalFormat||!t.format||!t.openGLDataType)return Nd(&quot;Failed to determine texture parameters.&quot;),!1;t.target=t.context.TEXTURE_2D,t.components=4,t.depth=1,t.numberOfDimensions=2,t._openGLRenderWindow.activateTexture(e),e.createTexture(),e.bind();const o=!(t._openGLRenderWindow.getWebgl2()||Fo(n.width)&amp;&amp;Fo(n.height));let a=n,i=n.width,s=n.height,c=!0;const u=window.chrome;if(o||u){const e=new OffscreenCanvas(Bo(n.width),Bo(n.height));i=e.width,s=e.height;const t=e.getContext(&quot;2d&quot;);t.translate(0,e.height),t.scale(1,-1),t.drawImage(n,0,0,n.width,n.height,0,0,e.width,e.height),a=e,c=!1}return t.width=i,t.height=s,t.context.pixelStorei(t.context.UNPACK_FLIP_Y_WEBGL,c),t.context.pixelStorei(t.context.UNPACK_ALIGNMENT,1),l(Bd.UNSIGNED_CHAR)?(t.context.texStorage2D(t.target,1,t.internalFormat,t.width,t.height),t.context.texSubImage2D(t.target,0,0,0,t.width,t.height,t.format,t.openGLDataType,a)):t.context.texImage2D(t.target,0,t.internalFormat,t.width,t.height,0,t.format,t.openGLDataType,a),t.generateMipmap&amp;&amp;t.context.generateMipmap(t.target),t.allocatedGPUMemoryInBytes=t.width*t.height*t.depth*t.components*t._openGLRenderWindow.getDefaultTextureByteSize(Bd.UNSIGNED_CHAR,r(),e.useHalfFloat()),e.deactivate(),!0},e.create2DFromImageBitmap=n=&gt;(e.getOpenGLDataType(Bd.UNSIGNED_CHAR),e.getInternalFormat(Bd.UNSIGNED_CHAR,4),e.getFormat(Bd.UNSIGNED_CHAR,4),t.internalFormat&amp;&amp;t.format&amp;&amp;t.openGLDataType?(t.target=t.context.TEXTURE_2D,t.components=4,t.depth=1,t.numberOfDimensions=2,t._openGLRenderWindow.activateTexture(e),e.createTexture(),e.bind(),t.context.pixelStorei(t.context.UNPACK_ALIGNMENT,1),t.width=n.width,t.height=n.height,l(Bd.UNSIGNED_CHAR)?(t.context.texStorage2D(t.target,1,t.internalFormat,t.width,t.height),t.context.texSubImage2D(t.target,0,0,0,t.width,t.height,t.format,t.openGLDataType,n)):t.context.texImage2D(t.target,0,t.internalFormat,t.width,t.height,0,t.format,t.openGLDataType,n),t.generateMipmap&amp;&amp;t.context.generateMipmap(t.target),t.allocatedGPUMemoryInBytes=t.width*t.height*t.depth*t.components*t._openGLRenderWindow.getDefaultTextureByteSize(Bd.UNSIGNED_CHAR,r(),e.useHalfFloat()),e.deactivate(),!0):(Nd(&quot;Failed to determine texture parameters.&quot;),!1)),e.create2DFilterableFromRaw=({width:t=Gd(&quot;width&quot;),height:n=Gd(&quot;height&quot;),numComps:r=Gd(&quot;numComps&quot;),dataType:o=Gd(&quot;dataType&quot;),data:a=Gd(&quot;data&quot;),preferSizeOverAccuracy:i=!1,ranges:s}={})=&gt;e.create2DFilterableFromDataArray({width:t,height:n,dataArray:Is.newInstance({numberOfComponents:r,dataType:o,values:a,ranges:s}),preferSizeOverAccuracy:i}),e.create2DFilterableFromDataArray=({width:t=Gd(&quot;width&quot;),height:n=Gd(&quot;height&quot;),dataArray:r=Gd(&quot;dataArray&quot;),preferSizeOverAccuracy:o=!1}={})=&gt;{const{numComps:a,dataType:i,data:s}=c(r,o);e.create2DFromRaw({width:t,height:n,numComps:a,dataType:i,data:s})},e.updateVolumeInfoForGL=(n,o)=&gt;{let a=!1;const i=e.useHalfFloat();t.volumeInfo?.scale&amp;&amp;t.volumeInfo?.offset||(t.volumeInfo={scale:new Array(o),offset:new Array(o)});for(let e=0;e&lt;o;++e)t.volumeInfo.scale[e]=1,t.volumeInfo.offset[e]=0;if(r()&amp;&amp;!i&amp;&amp;n===Bd.SHORT){for(let e=0;e&lt;o;++e)t.volumeInfo.scale[e]=32767;a=!0}if(r()&amp;&amp;!i&amp;&amp;n===Bd.UNSIGNED_SHORT){for(let e=0;e&lt;o;++e)t.volumeInfo.scale[e]=65535;a=!0}if(n===Bd.UNSIGNED_CHAR){for(let e=0;e&lt;o;++e)t.volumeInfo.scale[e]=255;a=!0}return(n===Bd.FLOAT||i&amp;&amp;(n===Bd.SHORT||n===Bd.UNSIGNED_SHORT))&amp;&amp;(a=!0),a},e.create3DFromRaw=({width:i=Gd(&quot;width&quot;),height:c=Gd(&quot;height&quot;),depth:u=Gd(&quot;depth&quot;),numComps:d=Gd(&quot;numComps&quot;),dataType:p=Gd(&quot;dataType&quot;),data:f=Gd(&quot;data&quot;),updatedExtents:g=[]}={})=&gt;{let m=p,h=f;if(!e.updateVolumeInfoForGL(m,d)&amp;&amp;h){const e=i*c*u,n=structuredClone(t.volumeInfo),r=new Float32Array(e*d);t.volumeInfo.offset=n.offset,t.volumeInfo.scale=n.scale;let o=0;const a=n.scale.map((e=&gt;1/e));for(let t=0;t&lt;e;t++)for(let e=0;e&lt;d;e++)r[o]=(h[o]-n.offset[e])*a[e],o++;m=Bd.FLOAT,h=r}if(e.getOpenGLDataType(m),e.getInternalFormat(m,d),e.getFormat(m,d),!t.internalFormat||!t.format||!t.openGLDataType)return Nd(&quot;Failed to determine texture parameters.&quot;),!1;t.target=t.context.TEXTURE_3D,t.components=d,t.width=i,t.height=c,t.depth=u,t.numberOfDimensions=3,t._openGLRenderWindow.activateTexture(e),e.createTexture(),e.bind();const v=g.length&gt;0,T=!v||!xe(t._prevTexParams,n()),x=[h],y=s(e.updateArrayDataTypeForGL(m,x,!0,T?[]:g));if(t.context.pixelStorei(t.context.UNPACK_ALIGNMENT,1),T)l(m)?(t.context.texStorage3D(t.target,1,t.internalFormat,t.width,t.height,t.depth),null!=y[0]&amp;&amp;t.context.texSubImage3D(t.target,0,0,0,0,t.width,t.height,t.depth,t.format,t.openGLDataType,y[0])):t.context.texImage3D(t.target,0,t.internalFormat,t.width,t.height,t.depth,0,t.format,t.openGLDataType,y[0]),t._prevTexParams=n();else if(v){const e=y[0];let n=0;for(let r=0;r&lt;g.length;r++){const i=g[r],s=o(i),l=a(i),c=new e.constructor(e.buffer,n,l);n+=c.byteLength,t.context.texSubImage3D(t.target,0,i[0],i[2],i[4],s[0],s[1],s[2],t.format,t.openGLDataType,c)}}return t.generateMipmap&amp;&amp;t.context.generateMipmap(t.target),t.allocatedGPUMemoryInBytes=t.width*t.height*t.depth*t.components*t._openGLRenderWindow.getDefaultTextureByteSize(m,r(),e.useHalfFloat()),e.deactivate(),!0},e.create3DFilterableFromRaw=({width:t=Gd(&quot;width&quot;),height:n=Gd(&quot;height&quot;),depth:r=Gd(&quot;depth&quot;),numComps:o=Gd(&quot;numComps&quot;),dataType:a=Gd(&quot;dataType&quot;),data:i=Gd(&quot;data&quot;),preferSizeOverAccuracy:s=!1,ranges:l,updatedExtents:c=[]}={})=&gt;e.create3DFilterableFromDataArray({width:t,height:n,depth:r,dataArray:Is.newInstance({numberOfComponents:o,dataType:a,values:i,ranges:l}),preferSizeOverAccuracy:s,updatedExtents:c}),e.create3DFilterableFromDataArray=({width:n=Gd(&quot;width&quot;),height:r=Gd(&quot;height&quot;),depth:o=Gd(&quot;depth&quot;),dataArray:a=Gd(&quot;dataArray&quot;),preferSizeOverAccuracy:i=!1,updatedExtents:s=[]}={})=&gt;{const{numComps:u,dataType:d,data:p,scaleOffsets:f}=c(a,i),g=[],m=[];for(let e=0;e&lt;u;++e)g[e]=0,m[e]=1;if(t.volumeInfo={scale:m,offset:g,dataComputedScale:f.scale,dataComputedOffset:f.offset,width:n,height:r,depth:o},t._openGLRenderWindow.getWebgl2())return e.create3DFromRaw({width:n,height:r,depth:o,numComps:u,dataType:d,data:p,updatedExtents:s});const h=n*r*o,v=structuredClone(f);let T=(e,t,n,r,o)=&gt;{e[t]=n},x=Bd.UNSIGNED_CHAR;if(d===Bd.UNSIGNED_CHAR)for(let e=0;e&lt;u;++e)v.offset[e]=0,v.scale[e]=255;else t.context.getExtension(&quot;OES_texture_float&quot;)&amp;&amp;t.context.getExtension(&quot;OES_texture_float_linear&quot;)?(x=Bd.FLOAT,T=(e,t,n,r,o)=&gt;{e[t]=(n-r)/o}):(x=Bd.UNSIGNED_CHAR,T=(e,t,n,r,o)=&gt;{e[t]=255*(n-r)/o});if(e.getOpenGLDataType(x),e.getInternalFormat(x,u),e.getFormat(x,u),!t.internalFormat||!t.format||!t.openGLDataType)return Nd(&quot;Failed to determine texture parameters.&quot;),!1;t.target=t.context.TEXTURE_2D,t.components=u,t.depth=1,t.numberOfDimensions=2;let y=t.context.getParameter(t.context.MAX_TEXTURE_SIZE);y&gt;4096&amp;&amp;(x===Bd.FLOAT||u&gt;=3)&amp;&amp;(y=4096);let b=1,A=1;h&gt;y*y&amp;&amp;(b=Math.ceil(Math.sqrt(h/(y*y))),A=b);let C=Math.sqrt(h)/b;C=Bo(C);const S=Math.floor(C*b/n),P=Math.ceil(o/S),w=Bo(r*P/A);let I;t.width=C,t.height=w,t._openGLRenderWindow.activateTexture(e),e.createTexture(),e.bind(),t.volumeInfo.xreps=S,t.volumeInfo.yreps=P,t.volumeInfo.xstride=b,t.volumeInfo.ystride=A,t.volumeInfo.offset=v.offset,t.volumeInfo.scale=v.scale;const O=C*w*u;I=x===Bd.FLOAT?new Float32Array(O):new Uint8Array(O);let R=0;const M=Math.floor(n/b),D=Math.floor(r/A);for(let e=0;e&lt;P;e++){const a=Math.min(S,o-e*S),i=u*(t.width-a*Math.floor(n/b));for(let t=0;t&lt;D;t++){for(let o=0;o&lt;a;o++){const a=u*((e*S+o)*n*r+A*t*n);for(let e=0;e&lt;M;e++)for(let t=0;t&lt;u;t++)T(I,R,p[a+b*e*u+t],v.offset[t],v.scale[t]),R++}R+=i}}return t.context.pixelStorei(t.context.UNPACK_ALIGNMENT,1),l(x)?(t.context.texStorage2D(t.target,1,t.internalFormat,t.width,t.height),null!=I&amp;&amp;t.context.texSubImage2D(t.target,0,0,0,t.width,t.height,t.format,t.openGLDataType,I)):t.context.texImage2D(t.target,0,t.internalFormat,t.width,t.height,0,t.format,t.openGLDataType,I),e.deactivate(),!0},e.setOpenGLRenderWindow=n=&gt;{t._openGLRenderWindow!==n&amp;&amp;(e.releaseGraphicsResources(),t._openGLRenderWindow=n,t.context=null,n&amp;&amp;(t.context=t._openGLRenderWindow.getContext()))},e.getMaximumTextureSize=e=&gt;e&amp;&amp;e.isCurrent()?e.getIntegerv(e.MAX_TEXTURE_SIZE):-1,e.enableUseHalfFloat=e=&gt;{t.enableUseHalfFloat=e}}const Kd={_openGLRenderWindow:null,_forceInternalFormat:!1,_prevTexParams:null,context:null,handle:0,sendParametersTime:null,textureBuildTime:null,numberOfDimensions:0,target:0,format:0,openGLDataType:0,components:0,width:0,height:0,depth:0,autoParameters:!0,wrapS:Vd.CLAMP_TO_EDGE,wrapT:Vd.CLAMP_TO_EDGE,wrapR:Vd.CLAMP_TO_EDGE,minificationFilter:Ld.NEAREST,magnificationFilter:Ld.NEAREST,minLOD:-1e3,maxLOD:1e3,baseLevel:0,maxLevel:1e3,generateMipmap:!1,oglNorm16Ext:null,allocatedGPUMemoryInBytes:0,enableUseHalfFloat:!0,canUseHalfFloat:!1};function zd(e,t,n={}){Object.assign(t,Kd,n),pn.extend(e,t,n),t.sendParametersTime={},Vt(t.sendParametersTime,{mtime:0}),t.textureBuildTime={},Vt(t.textureBuildTime,{mtime:0}),kt(e,t,[&quot;format&quot;,&quot;openGLDataType&quot;]),Gt(e,t,[&quot;keyMatrixTime&quot;,&quot;minificationFilter&quot;,&quot;magnificationFilter&quot;,&quot;wrapS&quot;,&quot;wrapT&quot;,&quot;wrapR&quot;,&quot;generateMipmap&quot;,&quot;oglNorm16Ext&quot;]),Bt(e,t,[&quot;width&quot;,&quot;height&quot;,&quot;volumeInfo&quot;,&quot;components&quot;,&quot;handle&quot;,&quot;target&quot;,&quot;allocatedGPUMemoryInBytes&quot;]),zt(0,t,[&quot;openGLRenderWindow&quot;]),_d(e,t)}const Wd=Xt(zd,&quot;vtkOpenGLTexture&quot;);var Hd={newInstance:Wd,extend:zd,...Id};vn(&quot;vtkTexture&quot;,Wd);var jd=&quot;//VTK::System::Dec\\n\\n/*=========================================================================\\n\\n  Program:   Visualization Toolkit\\n  Module:    vtkPolyDataVS.glsl\\n\\n  Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen\\n  All rights reserved.\\n  See Copyright.txt or http://www.kitware.com/Copyright.htm for details.\\n\\n     This software is distributed WITHOUT ANY WARRANTY; without even\\n     the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR\\n     PURPOSE.  See the above copyright notice for more information.\\n\\n=========================================================================*/\\n\\nattribute vec4 vertexMC;\\n\\n// frag position in VC\\n//VTK::PositionVC::Dec\\n\\n// optional normal declaration\\n//VTK::Normal::Dec\\n\\n// extra lighting parameters\\n//VTK::Light::Dec\\n\\n// Texture coordinates\\n//VTK::TCoord::Dec\\n\\n// material property values\\n//VTK::Color::Dec\\n\\n// clipping plane vars\\n//VTK::Clip::Dec\\n\\n// camera and actor matrix values\\n//VTK::Camera::Dec\\n\\n// Apple Bug\\n//VTK::PrimID::Dec\\n\\n// picking support\\n//VTK::Picking::Dec\\n\\nvoid main()\\n{\\n  //VTK::Color::Impl\\n\\n  //VTK::Normal::Impl\\n\\n  //VTK::TCoord::Impl\\n\\n  //VTK::Clip::Impl\\n\\n  //VTK::PrimID::Impl\\n\\n  //VTK::PositionVC::Impl\\n\\n  //VTK::Light::Impl\\n\\n  //VTK::Picking::Impl\\n}\\n&quot;,Xd=&quot;//VTK::System::Dec\\n\\n/*=========================================================================\\n\\n  Program:   Visualization Toolkit\\n  Module:    vtkPolyDataFS.glsl\\n\\n  Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen\\n  All rights reserved.\\n  See Copyright.txt or http://www.kitware.com/Copyright.htm for details.\\n\\n     This software is distributed WITHOUT ANY WARRANTY; without even\\n     the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR\\n     PURPOSE.  See the above copyright notice for more information.\\n\\n=========================================================================*/\\n// Template for the polydata mappers fragment shader\\n\\nuniform int PrimitiveIDOffset;\\n\\n// VC position of this fragment\\n//VTK::PositionVC::Dec\\n\\n// optional color passed in from the vertex shader, vertexColor\\n//VTK::Color::Dec\\n\\n// optional surface normal declaration\\n//VTK::Normal::Dec\\n\\n// extra lighting parameters\\n//VTK::Light::Dec\\n\\n// define vtkImageLabelOutlineOn\\n//VTK::ImageLabelOutlineOn\\n\\n// Texture coordinates\\n//VTK::TCoord::Dec\\n\\n// picking support\\n//VTK::Picking::Dec\\n\\n// Depth Peeling Support\\n//VTK::DepthPeeling::Dec\\n\\n// clipping plane vars\\n//VTK::Clip::Dec\\n\\n// label outline \\n//VTK::LabelOutline::Dec\\n\\n// the output of this shader\\n//VTK::Output::Dec\\n\\n// Apple Bug\\n//VTK::PrimID::Dec\\n\\n// handle coincident offsets\\n//VTK::Coincident::Dec\\n\\n//VTK::ZBuffer::Dec\\n\\n//VTK::LabelOutlineHelperFunction\\n\\nvoid main()\\n{\\n  // VC position of this fragment. This should not branch/return/discard.\\n  //VTK::PositionVC::Impl\\n\\n  // Place any calls that require uniform flow (e.g. dFdx) here.\\n  //VTK::UniformFlow::Impl\\n\\n  // Set gl_FragDepth here (gl_FragCoord.z by default)\\n  //VTK::Depth::Impl\\n\\n  // Early depth peeling abort:\\n  //VTK::DepthPeeling::PreColor\\n\\n  // Apple Bug\\n  //VTK::PrimID::Impl\\n\\n  //VTK::Clip::Impl\\n\\n  //VTK::Color::Impl\\n\\n  // Generate the normal if we are not passed in one\\n  //VTK::Normal::Impl\\n\\n  //VTK::TCoord::Impl\\n\\n  //VTK::Light::Impl\\n\\n  if (gl_FragData[0].a &lt;= 0.0)\\n    {\\n    discard;\\n    }\\n\\n  //VTK::DepthPeeling::Impl\\n\\n  //VTK::Picking::Impl\\n\\n  // handle coincident offsets\\n  //VTK::Coincident::Impl\\n\\n  //VTK::ZBuffer::Impl\\n\\n  //VTK::RenderPassFragmentShader::Impl\\n}\\n&quot;;var qd={implementReplaceShaderCoincidentOffset:function(e,t,n={}){e.replaceShaderCoincidentOffset=(n,r,o)=&gt;{const a=e.getCoincidentParameters(r,o);if(a&amp;&amp;(0!==a.factor||0!==a.offset)){let e=n.Fragment;e=vd.substitute(e,&quot;//VTK::Coincident::Dec&quot;,[&quot;uniform float cfactor;&quot;,&quot;uniform float coffset;&quot;]).result,t.context.getExtension(&quot;EXT_frag_depth&quot;)&amp;&amp;(0!==a.factor?(e=vd.substitute(e,&quot;//VTK::UniformFlow::Impl&quot;,[&quot;float cscale = length(vec2(dFdx(gl_FragCoord.z),dFdy(gl_FragCoord.z)));&quot;,&quot;//VTK::UniformFlow::Impl&quot;],!1).result,e=vd.substitute(e,&quot;//VTK::Depth::Impl&quot;,&quot;gl_FragDepthEXT = gl_FragCoord.z + cfactor*cscale + 0.000016*coffset;&quot;).result):e=vd.substitute(e,&quot;//VTK::Depth::Impl&quot;,&quot;gl_FragDepthEXT = gl_FragCoord.z + 0.000016*coffset;&quot;).result),t._openGLRenderWindow.getWebgl2()&amp;&amp;(0!==a.factor?(e=vd.substitute(e,&quot;//VTK::UniformFlow::Impl&quot;,[&quot;float cscale = length(vec2(dFdx(gl_FragCoord.z),dFdy(gl_FragCoord.z)));&quot;,&quot;//VTK::UniformFlow::Impl&quot;],!1).result,e=vd.substitute(e,&quot;//VTK::Depth::Impl&quot;,&quot;gl_FragDepth = gl_FragCoord.z + cfactor*cscale + 0.000016*coffset;&quot;).result):e=vd.substitute(e,&quot;//VTK::Depth::Impl&quot;,&quot;gl_FragDepth = gl_FragCoord.z + 0.000016*coffset;&quot;).result),n.Fragment=e}}},implementBuildShadersWithReplacements:function(e,t,n={}){e.applyShaderReplacements=(e,t,n)=&gt;{let r=null;if(t&amp;&amp;(r=t.ShaderReplacements),r)for(let t=0;t&lt;r.length;t++){const o=r[t];if(n&amp;&amp;o.replaceFirst||!n&amp;&amp;!o.replaceFirst){const t=o.shaderType,n=e[t],r=vd.substitute(n,o.originalValue,o.replacementValue,o.replaceAll);e[t]=r.result}}},e.buildShaders=(n,r,o)=&gt;{e.getReplacedShaderTemplate(n,r,o),t.lastRenderPassShaderReplacement=t.currentRenderPass?t.currentRenderPass.getShaderReplacement():null,t.lastRenderPassShaderReplacement&amp;&amp;t.lastRenderPassShaderReplacement(n);const a=t.renderable.getViewSpecificProperties().OpenGL;e.applyShaderReplacements(n,a,!0),e.replaceShaderValues(n,r,o),e.applyShaderReplacements(n,a)},e.getReplacedShaderTemplate=(n,r,o)=&gt;{const a=t.renderable.getViewSpecificProperties().OpenGL;e.getShaderTemplate(n,r,o);let i=n.Vertex;if(a){const e=a.VertexShaderCode;void 0!==e&amp;&amp;&quot;&quot;!==e&amp;&amp;(i=e)}n.Vertex=i;let s=n.Fragment;if(a){const e=a.FragmentShaderCode;void 0!==e&amp;&amp;&quot;&quot;!==e&amp;&amp;(s=e)}n.Fragment=s;let l=n.Geometry;if(a){const e=a.GeometryShaderCode;void 0!==e&amp;&amp;(l=e)}n.Geometry=l}}};const{FieldAssociations:Yd}=Qs,{primTypes:Jd}=Sd,{Representation:Zd,Shading:Qd}=us,{ScalarMode:$d}=Ql,{Filter:ep,Wrap:tp}=Hd,{vtkErrorMacro:np}=ln,rp={type:&quot;StartEvent&quot;},op={type:&quot;EndEvent&quot;},{CoordinateSystem:ap}=Zi;function ip(e,t){function n(e,t,n){return t.identity(n),e.reduce(((e,n,r)=&gt;0===r?n?t.copy(e,n):t.identity(e):n?t.multiply(e,e,n):e),n)}t.classHierarchy.push(&quot;vtkOpenGLPolyDataMapper&quot;),e.buildPass=n=&gt;{n&amp;&amp;(t.currentRenderPass=null,t.openGLActor=e.getFirstAncestorOfType(&quot;vtkOpenGLActor&quot;),t._openGLRenderer=t.openGLActor.getFirstAncestorOfType(&quot;vtkOpenGLRenderer&quot;),t._openGLRenderWindow=t._openGLRenderer.getLastAncestorOfType(&quot;vtkOpenGLRenderWindow&quot;),t.openGLCamera=t._openGLRenderer.getViewNodeFor(t._openGLRenderer.getRenderable().getActiveCamera(),t.openGLCamera))},e.translucentPass=(n,r)=&gt;{n&amp;&amp;(t.currentRenderPass=r,e.render())},e.zBufferPass=n=&gt;{n&amp;&amp;(t.haveSeenDepthRequest=!0,t.renderDepth=!0,e.render(),t.renderDepth=!1)},e.opaqueZBufferPass=t=&gt;e.zBufferPass(t),e.opaquePass=t=&gt;{t&amp;&amp;e.render()},e.render=()=&gt;{const n=t._openGLRenderWindow.getContext();if(t.context!==n){t.context=n;for(let e=Jd.Start;e&lt;Jd.End;e++)t.primitives[e].setOpenGLRenderWindow(t._openGLRenderWindow)}const r=t.openGLActor.getRenderable(),o=t._openGLRenderer.getRenderable();e.renderPiece(o,r)},e.getShaderTemplate=(e,t,n)=&gt;{e.Vertex=jd,e.Fragment=Xd,e.Geometry=&quot;&quot;},e.replaceShaderColor=(e,n,r)=&gt;{let o=e.Vertex,a=e.Geometry,i=e.Fragment;const s=t.lastBoundBO.getReferenceByName(&quot;lastLightComplexity&quot;);let l=[&quot;uniform float ambient;&quot;,&quot;uniform float diffuse;&quot;,&quot;uniform float specular;&quot;,&quot;uniform float opacityUniform; // the fragment opacity&quot;,&quot;uniform vec3 ambientColorUniform;&quot;,&quot;uniform vec3 diffuseColorUniform;&quot;];s&amp;&amp;(l=l.concat([&quot;uniform vec3 specularColorUniform;&quot;,&quot;uniform float specularPowerUniform;&quot;]));let c=[&quot;vec3 ambientColor;&quot;,&quot;  vec3 diffuseColor;&quot;,&quot;  float opacity;&quot;];s&amp;&amp;(c=c.concat([&quot;  vec3 specularColor;&quot;,&quot;  float specularPower;&quot;])),c=c.concat([&quot;  ambientColor = ambientColorUniform;&quot;,&quot;  diffuseColor = diffuseColorUniform;&quot;,&quot;  opacity = opacityUniform;&quot;]),s&amp;&amp;(c=c.concat([&quot;  specularColor = specularColorUniform;&quot;,&quot;  specularPower = specularPowerUniform;&quot;])),0===t.lastBoundBO.getCABO().getColorComponents()||t.drawingEdges||(l=l.concat([&quot;varying vec4 vertexColorVSOutput;&quot;]),o=vd.substitute(o,&quot;//VTK::Color::Dec&quot;,[&quot;attribute vec4 scalarColor;&quot;,&quot;varying vec4 vertexColorVSOutput;&quot;]).result,o=vd.substitute(o,&quot;//VTK::Color::Impl&quot;,[&quot;vertexColorVSOutput =  scalarColor;&quot;]).result,a=vd.substitute(a,&quot;//VTK::Color::Dec&quot;,[&quot;in vec4 vertexColorVSOutput[];&quot;,&quot;out vec4 vertexColorGSOutput;&quot;]).result,a=vd.substitute(a,&quot;//VTK::Color::Impl&quot;,[&quot;vertexColorGSOutput = vertexColorVSOutput[i];&quot;]).result),0===t.lastBoundBO.getCABO().getColorComponents()||t.drawingEdges?(t.renderable.getAreScalarsMappedFromCells()||t.renderable.getInterpolateScalarsBeforeMapping())&amp;&amp;t.renderable.getColorCoordinates()&amp;&amp;!t.drawingEdges?i=vd.substitute(i,&quot;//VTK::Color::Impl&quot;,c.concat([&quot;  vec4 texColor = texture2D(texture1, tcoordVCVSOutput.st);&quot;,&quot;  diffuseColor = texColor.rgb;&quot;,&quot;  ambientColor = texColor.rgb;&quot;,&quot;  opacity = opacity*texColor.a;&quot;])).result:(r.getBackfaceProperty()&amp;&amp;!t.drawingEdges&amp;&amp;(l=l.concat([&quot;uniform float opacityUniformBF; // the fragment opacity&quot;,&quot;uniform float ambientIntensityBF; // the material ambient&quot;,&quot;uniform float diffuseIntensityBF; // the material diffuse&quot;,&quot;uniform vec3 ambientColorUniformBF; // ambient material color&quot;,&quot;uniform vec3 diffuseColorUniformBF; // diffuse material color&quot;]),s?(l=l.concat([&quot;uniform float specularIntensityBF; // the material specular intensity&quot;,&quot;uniform vec3 specularColorUniformBF; // intensity weighted color&quot;,&quot;uniform float specularPowerUniformBF;&quot;]),c=c.concat([&quot;if (gl_FrontFacing == false) {&quot;,&quot;  ambientColor = ambientIntensityBF * ambientColorUniformBF;&quot;,&quot;  diffuseColor = diffuseIntensityBF * diffuseColorUniformBF;&quot;,&quot;  specularColor = specularIntensityBF * specularColorUniformBF;&quot;,&quot;  specularPower = specularPowerUniformBF;&quot;,&quot;  opacity = opacityUniformBF; }&quot;])):c=c.concat([&quot;if (gl_FrontFacing == false) {&quot;,&quot;  ambientColor = ambientIntensityBF * ambientColorUniformBF;&quot;,&quot;  diffuseColor = diffuseIntensityBF * diffuseColorUniformBF;&quot;,&quot;  opacity = opacityUniformBF; }&quot;])),t.haveCellScalars&amp;&amp;!t.drawingEdges&amp;&amp;(l=l.concat([&quot;uniform samplerBuffer texture1;&quot;])),i=vd.substitute(i,&quot;//VTK::Color::Impl&quot;,c).result):i=vd.substitute(i,&quot;//VTK::Color::Impl&quot;,c.concat([&quot;  diffuseColor = vertexColorVSOutput.rgb;&quot;,&quot;  ambientColor = vertexColorVSOutput.rgb;&quot;,&quot;  opacity = opacity*vertexColorVSOutput.a;&quot;])).result,i=vd.substitute(i,&quot;//VTK::Color::Dec&quot;,l).result,e.Vertex=o,e.Geometry=a,e.Fragment=i},e.replaceShaderLight=(e,n,r)=&gt;{let o=e.Fragment;const a=t.lastBoundBO.getReferenceByName(&quot;lastLightComplexity&quot;),i=t.lastBoundBO.getReferenceByName(&quot;lastLightCount&quot;);let s=[];switch(a){case 0:o=vd.substitute(o,&quot;//VTK::Light::Impl&quot;,[&quot;  gl_FragData[0] = vec4(ambientColor * ambient + diffuseColor * diffuse, opacity);&quot;,&quot;  //VTK::Light::Impl&quot;],!1).result;break;case 1:o=vd.substitute(o,&quot;//VTK::Light::Impl&quot;,[&quot;  float df = max(0.0, normalVCVSOutput.z);&quot;,&quot;  float sf = pow(df, specularPower);&quot;,&quot;  vec3 diffuseL = df * diffuseColor;&quot;,&quot;  vec3 specularL = sf * specularColor;&quot;,&quot;  gl_FragData[0] = vec4(ambientColor * ambient + diffuseL * diffuse + specularL * specular, opacity);&quot;,&quot;  //VTK::Light::Impl&quot;],!1).result;break;case 2:for(let e=0;e&lt;i;++e)s=s.concat([`uniform vec3 lightColor${e};`,`uniform vec3 lightDirectionVC${e}; // normalized`,`uniform vec3 lightHalfAngleVC${e}; // normalized`]);o=vd.substitute(o,&quot;//VTK::Light::Dec&quot;,s).result,s=[&quot;vec3 diffuseL = vec3(0,0,0);&quot;,&quot;  vec3 specularL = vec3(0,0,0);&quot;,&quot;  float df;&quot;];for(let e=0;e&lt;i;++e)s=s.concat([`  df = max(0.0, dot(normalVCVSOutput, -lightDirectionVC${e}));`,`  diffuseL += ((df) * lightColor${e});`,`  if (dot(normalVCVSOutput, lightDirectionVC${e}) &lt; 0.0)`,&quot;    {&quot;,`    float sf = sign(df)*pow(max(1e-5,\\n                                              dot(reflect(lightDirectionVC${e},normalVCVSOutput),\\n                                                  normalize(-vertexVC.xyz))),\\n                                         specularPower);`,`    specularL += (sf * lightColor${e});`,&quot;    }&quot;]);s=s.concat([&quot;  diffuseL = diffuseL * diffuseColor;&quot;,&quot;  specularL = specularL * specularColor;&quot;,&quot;  gl_FragData[0] = vec4(ambientColor * ambient + diffuseL * diffuse + specularL * specular, opacity);&quot;,&quot;  //VTK::Light::Impl&quot;]),o=vd.substitute(o,&quot;//VTK::Light::Impl&quot;,s,!1).result;break;case 3:for(let e=0;e&lt;i;++e)s=s.concat([`uniform vec3 lightColor${e};`,`uniform vec3 lightDirectionVC${e}; // normalized`,`uniform vec3 lightHalfAngleVC${e}; // normalized`,`uniform vec3 lightPositionVC${e};`,`uniform vec3 lightAttenuation${e};`,`uniform float lightConeAngle${e};`,`uniform float lightExponent${e};`,`uniform int lightPositional${e};`]);o=vd.substitute(o,&quot;//VTK::Light::Dec&quot;,s).result,s=[&quot;vec3 diffuseL = vec3(0,0,0);&quot;,&quot;  vec3 specularL = vec3(0,0,0);&quot;,&quot;  vec3 vertLightDirectionVC;&quot;,&quot;  float attenuation;&quot;,&quot;  float df;&quot;];for(let e=0;e&lt;i;++e)s=s.concat([&quot;  attenuation = 1.0;&quot;,`  if (lightPositional${e} == 0)`,&quot;    {&quot;,`      vertLightDirectionVC = lightDirectionVC${e};`,&quot;    }&quot;,&quot;  else&quot;,&quot;    {&quot;,`    vertLightDirectionVC = vertexVC.xyz - lightPositionVC${e};`,&quot;    float distanceVC = length(vertLightDirectionVC);&quot;,&quot;    vertLightDirectionVC = normalize(vertLightDirectionVC);&quot;,&quot;    attenuation = 1.0 /&quot;,`      (lightAttenuation${e}.x`,`       + lightAttenuation${e}.y * distanceVC`,`       + lightAttenuation${e}.z * distanceVC * distanceVC);`,&quot;    // per OpenGL standard cone angle is 90 or less for a spot light&quot;,`    if (lightConeAngle${e} &lt;= 90.0)`,&quot;      {&quot;,`      float coneDot = dot(vertLightDirectionVC, lightDirectionVC${e});`,&quot;      // if inside the cone&quot;,`      if (coneDot &gt;= cos(radians(lightConeAngle${e})))`,&quot;        {&quot;,`        attenuation = attenuation * pow(coneDot, lightExponent${e});`,&quot;        }&quot;,&quot;      else&quot;,&quot;        {&quot;,&quot;        attenuation = 0.0;&quot;,&quot;        }&quot;,&quot;      }&quot;,&quot;    }&quot;,&quot;    df = max(0.0, attenuation*dot(normalVCVSOutput, -vertLightDirectionVC));&quot;,`    diffuseL += ((df) * lightColor${e});`,&quot;    if (dot(normalVCVSOutput, vertLightDirectionVC) &lt; 0.0)&quot;,&quot;      {&quot;,`      float sf = sign(df)*attenuation*pow(max(1e-5,\\n                                                           dot(reflect(lightDirectionVC${e},\\n                                                                       normalVCVSOutput),\\n                                                               normalize(-vertexVC.xyz))),\\n                                                       specularPower);`,`    specularL += ((sf) * lightColor${e});`,&quot;    }&quot;]);s=s.concat([&quot;  diffuseL = diffuseL * diffuseColor;&quot;,&quot;  specularL = specularL * specularColor;&quot;,&quot;  gl_FragData[0] = vec4(ambientColor * ambient + diffuseL * diffuse + specularL * specular, opacity);&quot;,&quot;  //VTK::Light::Impl&quot;]),o=vd.substitute(o,&quot;//VTK::Light::Impl&quot;,s,!1).result;break;default:np(&quot;bad light complexity&quot;)}e.Fragment=o},e.replaceShaderNormal=(e,n,r)=&gt;{if(t.lastBoundBO.getReferenceByName(&quot;lastLightComplexity&quot;)&gt;0){let n=e.Vertex,o=e.Geometry,a=e.Fragment;t.lastBoundBO.getCABO().getNormalOffset()?(n=vd.substitute(n,&quot;//VTK::Normal::Dec&quot;,[&quot;attribute vec3 normalMC;&quot;,&quot;uniform mat3 normalMatrix;&quot;,&quot;varying vec3 normalVCVSOutput;&quot;]).result,n=vd.substitute(n,&quot;//VTK::Normal::Impl&quot;,[&quot;normalVCVSOutput = normalMatrix * normalMC;&quot;]).result,o=vd.substitute(o,&quot;//VTK::Normal::Dec&quot;,[&quot;in vec3 normalVCVSOutput[];&quot;,&quot;out vec3 normalVCGSOutput;&quot;]).result,o=vd.substitute(o,&quot;//VTK::Normal::Impl&quot;,[&quot;normalVCGSOutput = normalVCVSOutput[i];&quot;]).result,a=vd.substitute(a,&quot;//VTK::Normal::Dec&quot;,[&quot;varying vec3 normalVCVSOutput;&quot;]).result,a=vd.substitute(a,&quot;//VTK::Normal::Impl&quot;,[&quot;vec3 normalVCVSOutput = normalize(normalVCVSOutput);&quot;,&quot;  if (gl_FrontFacing == false) { normalVCVSOutput = -normalVCVSOutput; }&quot;]).result):t.haveCellNormals?(a=vd.substitute(a,&quot;//VTK::Normal::Dec&quot;,[&quot;uniform mat3 normalMatrix;&quot;,&quot;uniform samplerBuffer textureN;&quot;]).result,a=vd.substitute(a,&quot;//VTK::Normal::Impl&quot;,[&quot;vec3 normalVCVSOutput = normalize(normalMatrix *&quot;,&quot;    texelFetchBuffer(textureN, gl_PrimitiveID + PrimitiveIDOffset).xyz);&quot;,&quot;  if (gl_FrontFacing == false) { normalVCVSOutput = -normalVCVSOutput; }&quot;]).result):t.lastBoundBO.getOpenGLMode(r.getProperty().getRepresentation())===t.context.LINES?(a=vd.substitute(a,&quot;//VTK::UniformFlow::Impl&quot;,[&quot;  vec3 fdx = dFdx(vertexVC.xyz);&quot;,&quot;  vec3 fdy = dFdy(vertexVC.xyz);&quot;,&quot;  //VTK::UniformFlow::Impl&quot;]).result,a=vd.substitute(a,&quot;//VTK::Normal::Impl&quot;,[&quot;vec3 normalVCVSOutput;&quot;,&quot;  if (abs(fdx.x) &gt; 0.0)&quot;,&quot;    { fdx = normalize(fdx); normalVCVSOutput = normalize(cross(vec3(fdx.y, -fdx.x, 0.0), fdx)); }&quot;,&quot;  else { fdy = normalize(fdy); normalVCVSOutput = normalize(cross(vec3(fdy.y, -fdy.x, 0.0), fdy));}&quot;]).result):(a=vd.substitute(a,&quot;//VTK::Normal::Dec&quot;,[&quot;uniform int cameraParallel;&quot;]).result,a=vd.substitute(a,&quot;//VTK::UniformFlow::Impl&quot;,[&quot;  vec3 fdx = dFdx(vertexVC.xyz);&quot;,&quot;  vec3 fdy = dFdy(vertexVC.xyz);&quot;,&quot;  //VTK::UniformFlow::Impl&quot;]).result,a=vd.substitute(a,&quot;//VTK::Normal::Impl&quot;,[&quot;  fdx = normalize(fdx);&quot;,&quot;  fdy = normalize(fdy);&quot;,&quot;  vec3 normalVCVSOutput = normalize(cross(fdx,fdy));&quot;,&quot;  if (cameraParallel == 1 &amp;&amp; normalVCVSOutput.z &lt; 0.0) { normalVCVSOutput = -1.0*normalVCVSOutput; }&quot;,&quot;  if (cameraParallel == 0 &amp;&amp; dot(normalVCVSOutput,vertexVC.xyz) &gt; 0.0) { normalVCVSOutput = -1.0*normalVCVSOutput; }&quot;]).result),e.Vertex=n,e.Geometry=o,e.Fragment=a}},e.replaceShaderPositionVC=(e,n,r)=&gt;{t.lastBoundBO.replaceShaderPositionVC(e,n,r);let o=e.Vertex,a=e.Geometry,i=e.Fragment;t.lastBoundBO.getReferenceByName(&quot;lastLightComplexity&quot;)&gt;0?(o=vd.substitute(o,&quot;//VTK::PositionVC::Dec&quot;,[&quot;varying vec4 vertexVCVSOutput;&quot;]).result,o=vd.substitute(o,&quot;//VTK::PositionVC::Impl&quot;,[&quot;vertexVCVSOutput = MCVCMatrix * vertexMC;&quot;,&quot;  gl_Position = MCPCMatrix * vertexMC;&quot;]).result,o=vd.substitute(o,&quot;//VTK::Camera::Dec&quot;,[&quot;uniform mat4 MCPCMatrix;&quot;,&quot;uniform mat4 MCVCMatrix;&quot;]).result,a=vd.substitute(a,&quot;//VTK::PositionVC::Dec&quot;,[&quot;in vec4 vertexVCVSOutput[];&quot;,&quot;out vec4 vertexVCGSOutput;&quot;]).result,a=vd.substitute(a,&quot;//VTK::PositionVC::Impl&quot;,[&quot;vertexVCGSOutput = vertexVCVSOutput[i];&quot;]).result,i=vd.substitute(i,&quot;//VTK::PositionVC::Dec&quot;,[&quot;varying vec4 vertexVCVSOutput;&quot;]).result,i=vd.substitute(i,&quot;//VTK::PositionVC::Impl&quot;,[&quot;vec4 vertexVC = vertexVCVSOutput;&quot;]).result):(o=vd.substitute(o,&quot;//VTK::Camera::Dec&quot;,[&quot;uniform mat4 MCPCMatrix;&quot;]).result,o=vd.substitute(o,&quot;//VTK::PositionVC::Impl&quot;,[&quot;  gl_Position = MCPCMatrix * vertexMC;&quot;]).result),e.Vertex=o,e.Geometry=a,e.Fragment=i},e.replaceShaderTCoord=(e,n,r)=&gt;{if(t.lastBoundBO.getCABO().getTCoordOffset()){let n=e.Vertex,r=e.Geometry,o=e.Fragment;if(t.drawingEdges)return;n=vd.substitute(n,&quot;//VTK::TCoord::Impl&quot;,&quot;tcoordVCVSOutput = tcoordMC;&quot;).result;const a=t.openGLActor.getActiveTextures();let i=2,s=2;if(a&amp;&amp;a.length&gt;0&amp;&amp;(i=a[0].getComponents(),a[0].getTarget()===t.context.TEXTURE_CUBE_MAP&amp;&amp;(s=3)),t.renderable.getColorTextureMap()&amp;&amp;(i=t.renderable.getColorTextureMap().getPointData().getScalars().getNumberOfComponents(),s=2),2===s){if(n=vd.substitute(n,&quot;//VTK::TCoord::Dec&quot;,&quot;attribute vec2 tcoordMC; varying vec2 tcoordVCVSOutput;&quot;).result,r=vd.substitute(r,&quot;//VTK::TCoord::Dec&quot;,[&quot;in vec2 tcoordVCVSOutput[];&quot;,&quot;out vec2 tcoordVCGSOutput;&quot;]).result,r=vd.substitute(r,&quot;//VTK::TCoord::Impl&quot;,&quot;tcoordVCGSOutput = tcoordVCVSOutput[i];&quot;).result,o=vd.substitute(o,&quot;//VTK::TCoord::Dec&quot;,[&quot;varying vec2 tcoordVCVSOutput;&quot;,&quot;uniform sampler2D texture1;&quot;]).result,a&amp;&amp;a.length&gt;=1)switch(i){case 1:o=vd.substitute(o,&quot;//VTK::TCoord::Impl&quot;,[&quot;  vec4 tcolor = texture2D(texture1, tcoordVCVSOutput);&quot;,&quot;  ambientColor = ambientColor*tcolor.r;&quot;,&quot;  diffuseColor = diffuseColor*tcolor.r;&quot;]).result;break;case 2:o=vd.substitute(o,&quot;//VTK::TCoord::Impl&quot;,[&quot;  vec4 tcolor = texture2D(texture1, tcoordVCVSOutput);&quot;,&quot;  ambientColor = ambientColor*tcolor.r;&quot;,&quot;  diffuseColor = diffuseColor*tcolor.r;&quot;,&quot;  opacity = opacity * tcolor.g;&quot;]).result;break;default:o=vd.substitute(o,&quot;//VTK::TCoord::Impl&quot;,[&quot;  vec4 tcolor = texture2D(texture1, tcoordVCVSOutput);&quot;,&quot;  ambientColor = ambientColor*tcolor.rgb;&quot;,&quot;  diffuseColor = diffuseColor*tcolor.rgb;&quot;,&quot;  opacity = opacity * tcolor.a;&quot;]).result}}else switch(n=vd.substitute(n,&quot;//VTK::TCoord::Dec&quot;,&quot;attribute vec3 tcoordMC; varying vec3 tcoordVCVSOutput;&quot;).result,r=vd.substitute(r,&quot;//VTK::TCoord::Dec&quot;,[&quot;in vec3 tcoordVCVSOutput[];&quot;,&quot;out vec3 tcoordVCGSOutput;&quot;]).result,r=vd.substitute(r,&quot;//VTK::TCoord::Impl&quot;,&quot;tcoordVCGSOutput = tcoordVCVSOutput[i];&quot;).result,o=vd.substitute(o,&quot;//VTK::TCoord::Dec&quot;,[&quot;varying vec3 tcoordVCVSOutput;&quot;,&quot;uniform samplerCube texture1;&quot;]).result,i){case 1:o=vd.substitute(o,&quot;//VTK::TCoord::Impl&quot;,[&quot;  vec4 tcolor = textureCube(texture1, tcoordVCVSOutput);&quot;,&quot;  ambientColor = ambientColor*tcolor.r;&quot;,&quot;  diffuseColor = diffuseColor*tcolor.r;&quot;]).result;break;case 2:o=vd.substitute(o,&quot;//VTK::TCoord::Impl&quot;,[&quot;  vec4 tcolor = textureCube(texture1, tcoordVCVSOutput);&quot;,&quot;  ambientColor = ambientColor*tcolor.r;&quot;,&quot;  diffuseColor = diffuseColor*tcolor.r;&quot;,&quot;  opacity = opacity * tcolor.g;&quot;]).result;break;default:o=vd.substitute(o,&quot;//VTK::TCoord::Impl&quot;,[&quot;  vec4 tcolor = textureCube(texture1, tcoordVCVSOutput);&quot;,&quot;  ambientColor = ambientColor*tcolor.rgb;&quot;,&quot;  diffuseColor = diffuseColor*tcolor.rgb;&quot;,&quot;  opacity = opacity * tcolor.a;&quot;]).result}e.Vertex=n,e.Geometry=r,e.Fragment=o}},e.replaceShaderClip=(e,n,r)=&gt;{let o=e.Vertex,a=e.Fragment;if(t.renderable.getNumberOfClippingPlanes()){const e=t.renderable.getNumberOfClippingPlanes();o=vd.substitute(o,&quot;//VTK::Clip::Dec&quot;,[&quot;uniform int numClipPlanes;&quot;,`uniform vec4 clipPlanes[${e}];`,`varying float clipDistancesVSOutput[${e}];`]).result,o=vd.substitute(o,&quot;//VTK::Clip::Impl&quot;,[`for (int planeNum = 0; planeNum &lt; ${e}; planeNum++)`,&quot;    {&quot;,&quot;    if (planeNum &gt;= numClipPlanes)&quot;,&quot;        {&quot;,&quot;        break;&quot;,&quot;        }&quot;,&quot;    clipDistancesVSOutput[planeNum] = dot(clipPlanes[planeNum], vertexMC);&quot;,&quot;    }&quot;]).result,a=vd.substitute(a,&quot;//VTK::Clip::Dec&quot;,[&quot;uniform int numClipPlanes;&quot;,`varying float clipDistancesVSOutput[${e}];`]).result,a=vd.substitute(a,&quot;//VTK::Clip::Impl&quot;,[`for (int planeNum = 0; planeNum &lt; ${e}; planeNum++)`,&quot;    {&quot;,&quot;    if (planeNum &gt;= numClipPlanes)&quot;,&quot;        {&quot;,&quot;        break;&quot;,&quot;        }&quot;,&quot;    if (clipDistancesVSOutput[planeNum] &lt; 0.0) discard;&quot;,&quot;    }&quot;]).result}e.Vertex=o,e.Fragment=a},e.getCoincidentParameters=(e,n)=&gt;{let r={factor:0,offset:0};const o=n.getProperty();if(t.renderable.getResolveCoincidentTopology()==Pl.PolygonOffset||o.getEdgeVisibility()&amp;&amp;o.getRepresentation()===Zd.SURFACE){const e=t.lastBoundBO.getPrimitiveType();e===Jd.Points||o.getRepresentation()===Zd.POINTS?r=t.renderable.getCoincidentTopologyPointOffsetParameter():e===Jd.Lines||o.getRepresentation()===Zd.WIREFRAME?r=t.renderable.getCoincidentTopologyLineOffsetParameters():e!==Jd.Tris&amp;&amp;e!==Jd.TriStrips||(r=t.renderable.getCoincidentTopologyPolygonOffsetParameters()),e!==Jd.TrisEdges&amp;&amp;e!==Jd.TriStripsEdges||(r=t.renderable.getCoincidentTopologyPolygonOffsetParameters(),r.factor/=2,r.offset/=2)}const a=t._openGLRenderer.getSelector();return a&amp;&amp;a.getFieldAssociation()===Yd.FIELD_ASSOCIATION_POINTS&amp;&amp;(r.offset-=2),r},e.replaceShaderPicking=(e,n,r)=&gt;{let o=e.Fragment,a=e.Vertex;if(o=vd.substitute(o,&quot;//VTK::Picking::Dec&quot;,[&quot;uniform int picking;&quot;,&quot;//VTK::Picking::Dec&quot;]).result,t._openGLRenderer.getSelector()){switch(t.lastSelectionState!==Bl.ID_LOW24&amp;&amp;t.lastSelectionState!==Bl.ID_HIGH24||(a=vd.substitute(a,&quot;//VTK::Picking::Dec&quot;,[&quot;flat out int vertexIDVSOutput;\\n&quot;,&quot;uniform int VertexIDOffset;\\n&quot;]).result,a=vd.substitute(a,&quot;//VTK::Picking::Impl&quot;,&quot;  vertexIDVSOutput = gl_VertexID + VertexIDOffset;\\n&quot;).result,o=vd.substitute(o,&quot;//VTK::Picking::Dec&quot;,&quot;flat in int vertexIDVSOutput;\\n&quot;).result,o=vd.substitute(o,&quot;//VTK::Picking::Impl&quot;,[&quot;  int idx = vertexIDVSOutput;&quot;,&quot;//VTK::Picking::Impl&quot;]).result),t.lastSelectionState){case Bl.ID_LOW24:o=vd.substitute(o,&quot;//VTK::Picking::Impl&quot;,&quot;  gl_FragData[0] = vec4(float(idx%256)/255.0, float((idx/256)%256)/255.0, float((idx/65536)%256)/255.0, 1.0);&quot;).result;break;case Bl.ID_HIGH24:o=vd.substitute(o,&quot;//VTK::Picking::Impl&quot;,&quot;  gl_FragData[0] = vec4(float((idx/16777216)%256)/255.0, 0.0, 0.0, 1.0);&quot;).result;break;default:o=vd.substitute(o,&quot;//VTK::Picking::Dec&quot;,&quot;uniform vec3 mapperIndex;&quot;).result,o=vd.substitute(o,&quot;//VTK::Picking::Impl&quot;,&quot;  gl_FragData[0] = picking != 0 ? vec4(mapperIndex,1.0) : gl_FragData[0];&quot;).result}e.Fragment=o,e.Vertex=a}},e.replaceShaderValues=(n,r,o)=&gt;{if(e.replaceShaderColor(n,r,o),e.replaceShaderNormal(n,r,o),e.replaceShaderLight(n,r,o),e.replaceShaderTCoord(n,r,o),e.replaceShaderPicking(n,r,o),e.replaceShaderClip(n,r,o),e.replaceShaderCoincidentOffset(n,r,o),e.replaceShaderPositionVC(n,r,o),t.haveSeenDepthRequest){let e=n.Fragment;e=vd.substitute(e,&quot;//VTK::ZBuffer::Dec&quot;,&quot;uniform int depthRequest;&quot;).result,e=vd.substitute(e,&quot;//VTK::ZBuffer::Impl&quot;,[&quot;if (depthRequest == 1) {&quot;,&quot;float iz = floor(gl_FragCoord.z*65535.0 + 0.1);&quot;,&quot;float rf = floor(iz/256.0)/255.0;&quot;,&quot;float gf = mod(iz,256.0)/255.0;&quot;,&quot;gl_FragData[0] = vec4(rf, gf, 0.0, 1.0); }&quot;]).result,n.Fragment=e}},e.getNeedToRebuildShaders=(e,n,r)=&gt;{let o=0,a=0;const i=e.getPrimitiveType(),s=t.currentInput;let l=!1;const c=s.getPointData().getNormals(),u=s.getCellData().getNormals(),d=r.getProperty().getInterpolation()===Qd.FLAT,p=r.getProperty().getRepresentation(),f=e.getOpenGLMode(p,i);if(f===t.context.TRIANGLES||u&amp;&amp;!c||!d&amp;&amp;c?l=!0:d||f!==t.context.LINES||(l=!0),r.getProperty().getLighting()&amp;&amp;l){o=0;const e=n.getLightsByReference();for(let t=0;t&lt;e.length;++t){const n=e[t];n.getSwitch()&gt;0&amp;&amp;(a++,0===o&amp;&amp;(o=1)),1===o&amp;&amp;(a&gt;1||1!==n.getIntensity()||!n.lightTypeIsHeadLight())&amp;&amp;(o=2),o&lt;3&amp;&amp;n.getPositional()&amp;&amp;(o=3)}}let g=!1;const m=t.lastBoundBO.getReferenceByName(&quot;lastLightComplexity&quot;),h=t.lastBoundBO.getReferenceByName(&quot;lastLightCount&quot;);return m===o&amp;&amp;h===a||(t.lastBoundBO.set({lastLightComplexity:o},!0),t.lastBoundBO.set({lastLightCount:a},!0),g=!0),(!t.currentRenderPass&amp;&amp;t.lastRenderPassShaderReplacement||t.currentRenderPass&amp;&amp;t.currentRenderPass.getShaderReplacement()!==t.lastRenderPassShaderReplacement)&amp;&amp;(g=!0),!!(t.lastHaveSeenDepthRequest!==t.haveSeenDepthRequest||e.getShaderSourceTime().getMTime()&lt;t.renderable.getMTime()||e.getShaderSourceTime().getMTime()&lt;t.currentInput.getMTime()||e.getShaderSourceTime().getMTime()&lt;t.selectionStateChanged.getMTime()||g)&amp;&amp;(t.lastHaveSeenDepthRequest=t.haveSeenDepthRequest,!0)},e.invokeShaderCallbacks=(e,n,r)=&gt;{const o=t.renderable.getViewSpecificProperties().ShadersCallbacks;o&amp;&amp;o.forEach((t=&gt;{t.callback(t.userData,e,n,r)}))},e.setMapperShaderParameters=(n,r,o)=&gt;{if(n.getProgram().isUniformUsed(&quot;PrimitiveIDOffset&quot;)&amp;&amp;n.getProgram().setUniformi(&quot;PrimitiveIDOffset&quot;,t.primitiveIDOffset),n.getProgram().isUniformUsed(&quot;VertexIDOffset&quot;)&amp;&amp;n.getProgram().setUniformi(&quot;VertexIDOffset&quot;,t.vertexIDOffset),n.getCABO().getElementCount()&amp;&amp;(t.VBOBuildTime.getMTime()&gt;n.getAttributeUpdateTime().getMTime()||n.getShaderSourceTime().getMTime()&gt;n.getAttributeUpdateTime().getMTime())){const e=t.lastBoundBO.getReferenceByName(&quot;lastLightComplexity&quot;);n.getProgram().isAttributeUsed(&quot;vertexMC&quot;)&amp;&amp;(n.getVAO().addAttributeArray(n.getProgram(),n.getCABO(),&quot;vertexMC&quot;,n.getCABO().getVertexOffset(),n.getCABO().getStride(),t.context.FLOAT,3,!1)||np(&quot;Error setting vertexMC in shader VAO.&quot;)),n.getProgram().isAttributeUsed(&quot;normalMC&quot;)&amp;&amp;n.getCABO().getNormalOffset()&amp;&amp;e&gt;0?n.getVAO().addAttributeArray(n.getProgram(),n.getCABO(),&quot;normalMC&quot;,n.getCABO().getNormalOffset(),n.getCABO().getStride(),t.context.FLOAT,3,!1)||np(&quot;Error setting normalMC in shader VAO.&quot;):n.getVAO().removeAttributeArray(&quot;normalMC&quot;),t.renderable.getCustomShaderAttributes().forEach(((e,r)=&gt;{n.getProgram().isAttributeUsed(`${e}MC`)&amp;&amp;(n.getVAO().addAttributeArray(n.getProgram(),n.getCABO(),`${e}MC`,n.getCABO().getCustomData()[r].offset,n.getCABO().getStride(),t.context.FLOAT,n.getCABO().getCustomData()[r].components,!1)||np(`Error setting ${e}MC in shader VAO.`))})),n.getProgram().isAttributeUsed(&quot;tcoordMC&quot;)&amp;&amp;n.getCABO().getTCoordOffset()?n.getVAO().addAttributeArray(n.getProgram(),n.getCABO(),&quot;tcoordMC&quot;,n.getCABO().getTCoordOffset(),n.getCABO().getStride(),t.context.FLOAT,n.getCABO().getTCoordComponents(),!1)||np(&quot;Error setting tcoordMC in shader VAO.&quot;):n.getVAO().removeAttributeArray(&quot;tcoordMC&quot;),n.getProgram().isAttributeUsed(&quot;scalarColor&quot;)&amp;&amp;n.getCABO().getColorComponents()?n.getVAO().addAttributeArray(n.getProgram(),n.getCABO().getColorBO(),&quot;scalarColor&quot;,n.getCABO().getColorOffset(),n.getCABO().getColorBOStride(),t.context.UNSIGNED_BYTE,4,!0)||np(&quot;Error setting scalarColor in shader VAO.&quot;):n.getVAO().removeAttributeArray(&quot;scalarColor&quot;),n.getAttributeUpdateTime().modified()}if(t.renderable.getNumberOfClippingPlanes()){const e=t.renderable.getNumberOfClippingPlanes(),r=[],a=n.getCABO().getCoordShiftAndScaleEnabled()?n.getCABO().getInverseShiftAndScaleMatrix():null,i=a?T(t.tmpMat4,o.getMatrix()):o.getMatrix();a&amp;&amp;(y(i,i),A(i,i,a),y(i,i));for(let n=0;n&lt;e;n++){const e=[];t.renderable.getClippingPlaneInDataCoords(i,n,e);for(let t=0;t&lt;4;t++)r.push(e[t])}n.getProgram().setUniformi(&quot;numClipPlanes&quot;,e),n.getProgram().setUniform4fv(&quot;clipPlanes&quot;,r)}t.internalColorTexture&amp;&amp;n.getProgram().isUniformUsed(&quot;texture1&quot;)&amp;&amp;n.getProgram().setUniformi(&quot;texture1&quot;,t.internalColorTexture.getTextureUnit());const a=t.openGLActor.getActiveTextures();if(a)for(let e=0;e&lt;a.length;++e){const t=a[e].getTextureUnit(),r=`texture${t+1}`;n.getProgram().isUniformUsed(r)&amp;&amp;n.getProgram().setUniformi(r,t)}if(t.haveSeenDepthRequest&amp;&amp;n.getProgram().setUniformi(&quot;depthRequest&quot;,t.renderDepth?1:0),n.getProgram().isUniformUsed(&quot;coffset&quot;)){const t=e.getCoincidentParameters(r,o);n.getProgram().setUniformf(&quot;coffset&quot;,t.offset),n.getProgram().isUniformUsed(&quot;cfactor&quot;)&amp;&amp;n.getProgram().setUniformf(&quot;cfactor&quot;,t.factor)}n.setMapperShaderParameters(r,o,t._openGLRenderer.getTiledSizeAndOrigin());const i=t._openGLRenderer.getSelector();n.getProgram().setUniform3fArray(&quot;mapperIndex&quot;,i?i.getPropColorValue():[0,0,0]),n.getProgram().setUniformi(&quot;picking&quot;,i?i.getCurrentPass()+1:0)},e.setLightingShaderParameters=(e,n,r)=&gt;{const o=t.lastBoundBO.getReferenceByName(&quot;lastLightComplexity&quot;);if(o&lt;2)return;const a=e.getProgram();let i=0;const s=n.getLightsByReference();for(let e=0;e&lt;s.length;++e){const r=s[e];if(r.getSwitch()&gt;0){const e=r.getColorByReference(),o=r.getIntensity();t.lightColor[0]=e[0]*o,t.lightColor[1]=e[1]*o,t.lightColor[2]=e[2]*o;const s=r.getDirection(),l=n.getActiveCamera().getViewMatrix(),c=[...s];r.lightTypeIsSceneLight()&amp;&amp;(c[0]=l[0]*s[0]+l[1]*s[1]+l[2]*s[2],c[1]=l[4]*s[0]+l[5]*s[1]+l[6]*s[2],c[2]=l[8]*s[0]+l[9]*s[1]+l[10]*s[2],jo(c)),t.lightDirection[0]=c[0],t.lightDirection[1]=c[1],t.lightDirection[2]=c[2],jo(t.lightDirection),a.setUniform3fArray(`lightColor${i}`,t.lightColor),a.setUniform3fArray(`lightDirectionVC${i}`,t.lightDirection),i++}}if(o&lt;3)return;const l=n.getActiveCamera().getViewMatrix();y(l,l),i=0;for(let e=0;e&lt;s.length;++e){const t=s[e];if(t.getSwitch()&gt;0){const e=t.getTransformedPosition(),n=new Float64Array(3);oe(n,e,l),a.setUniform3fArray(`lightAttenuation${i}`,t.getAttenuationValuesByReference()),a.setUniformi(`lightPositional${i}`,t.getPositional()),a.setUniformf(`lightExponent${i}`,t.getExponent()),a.setUniformf(`lightConeAngle${i}`,t.getConeAngle()),a.setUniform3fArray(`lightPositionVC${i}`,[n[0],n[1],n[2]]),i++}}},e.setCameraShaderParameters=(e,r,o)=&gt;{const a=e.getProgram(),i=t.openGLCamera.getKeyMatrices(r),s=r.getActiveCamera(),l=t.openGLCamera.getKeyMatrixTime().getMTime(),c=a.getLastCameraMTime(),u=e.getCABO().getCoordShiftAndScaleEnabled()?e.getCABO().getInverseShiftAndScaleMatrix():null,d=o.getIsIdentity(),p=d?{mcwc:null,normalMatrix:null}:t.openGLActor.getKeyMatrices();if(o.getCoordinateSystem()===ap.DISPLAY){const e=t._openGLRenderer.getTiledSizeAndOrigin();x(t.tmpMat4),t.tmpMat4[0]=2/e.usize,t.tmpMat4[12]=-1,t.tmpMat4[5]=2/e.vsize,t.tmpMat4[13]=-1,A(t.tmpMat4,t.tmpMat4,u),a.setUniformMatrix(&quot;MCPCMatrix&quot;,t.tmpMat4)}else a.setUniformMatrix(&quot;MCPCMatrix&quot;,n([i.wcpc,p.mcwc,u],H,t.tmpMat4));a.isUniformUsed(&quot;MCVCMatrix&quot;)&amp;&amp;a.setUniformMatrix(&quot;MCVCMatrix&quot;,n([i.wcvc,p.mcwc,u],H,t.tmpMat4)),a.isUniformUsed(&quot;normalMatrix&quot;)&amp;&amp;a.setUniformMatrix3x3(&quot;normalMatrix&quot;,n([i.normalMatrix,p.normalMatrix],h,t.tmpMat3)),c!==l&amp;&amp;(a.isUniformUsed(&quot;cameraParallel&quot;)&amp;&amp;a.setUniformi(&quot;cameraParallel&quot;,s.getParallelProjection()),a.setLastCameraMTime(l)),d||a.setLastCameraMTime(0)},e.setPropertyShaderParameters=(e,n,r)=&gt;{const o=e.getProgram();let a=r.getProperty();let i=t.drawingEdges||a.getRepresentation()===Zd.WIREFRAME?a.getEdgeOpacity():a.getOpacity(),s=t.drawingEdges?a.getEdgeColorByReference():a.getAmbientColorByReference(),l=t.drawingEdges?a.getEdgeColorByReference():a.getDiffuseColorByReference(),c=t.drawingEdges?1:a.getAmbient(),u=t.drawingEdges?0:a.getDiffuse(),d=t.drawingEdges?0:a.getSpecular();const p=a.getSpecularPower();o.setUniformf(&quot;opacityUniform&quot;,i),o.setUniform3fArray(&quot;ambientColorUniform&quot;,s),o.setUniform3fArray(&quot;diffuseColorUniform&quot;,l),o.setUniformf(&quot;ambient&quot;,c),o.setUniformf(&quot;diffuse&quot;,u);const f=t.lastBoundBO.getReferenceByName(&quot;lastLightComplexity&quot;);if(f&lt;1)return;let g=a.getSpecularColorByReference();if(o.setUniform3fArray(&quot;specularColorUniform&quot;,g),o.setUniformf(&quot;specularPowerUniform&quot;,p),o.setUniformf(&quot;specular&quot;,d),o.isUniformUsed(&quot;ambientIntensityBF&quot;)){if(a=r.getBackfaceProperty(),i=a.getOpacity(),s=a.getAmbientColor(),c=a.getAmbient(),l=a.getDiffuseColor(),u=a.getDiffuse(),g=a.getSpecularColor(),d=a.getSpecular(),o.setUniformf(&quot;ambientIntensityBF&quot;,c),o.setUniformf(&quot;diffuseIntensityBF&quot;,u),o.setUniformf(&quot;opacityUniformBF&quot;,i),o.setUniform3fArray(&quot;ambientColorUniformBF&quot;,s),o.setUniform3fArray(&quot;diffuseColorUniformBF&quot;,l),f&lt;1)return;o.setUniformf(&quot;specularIntensityBF&quot;,d),o.setUniform3fArray(&quot;specularColorUniformBF&quot;,g),o.setUniformf(&quot;specularPowerUniformBF&quot;,p)}},e.updateMaximumPointCellIds=(e,n)=&gt;{const r=t._openGLRenderer.getSelector();if(!r)return;if(t.selectionWebGLIdsToVTKIds?.points?.length){const e=t.selectionWebGLIdsToVTKIds.points.length;r.setMaximumPointId(e-1)}if(t.selectionWebGLIdsToVTKIds?.cells?.length){const e=t.selectionWebGLIdsToVTKIds.cells.length;r.setMaximumCellId(e-1)}r.getFieldAssociation()===Yd.FIELD_ASSOCIATION_POINTS&amp;&amp;(t.pointPicking=!0)},e.renderPieceStart=(n,r)=&gt;{t.primitiveIDOffset=0,t.vertexIDOffset=0;const o=function(e){const t=e.getSelector();return t?t.getCurrentPass():Bl.MIN_KNOWN_PASS-1}(t._openGLRenderer);t.lastSelectionState!==o&amp;&amp;(t.selectionStateChanged.modified(),t.lastSelectionState=o),t._openGLRenderer.getSelector()&amp;&amp;t._openGLRenderer.getSelector().renderProp(r),e.updateBufferObjects(n,r),t.renderable.getColorTextureMap()&amp;&amp;t.internalColorTexture.activate(),t.lastBoundBO=null},e.renderPieceDraw=(n,r)=&gt;{const o=r.getProperty().getRepresentation(),a=r.getProperty().getEdgeVisibility()&amp;&amp;o===Zd.SURFACE,i=t._openGLRenderer.getSelector(),s=i&amp;&amp;i.getFieldAssociation()===Yd.FIELD_ASSOCIATION_POINTS&amp;&amp;(t.lastSelectionState===Bl.ID_LOW24||t.lastSelectionState===Bl.ID_HIGH24);for(let i=Jd.Start;i&lt;Jd.End;i++){t.primitives[i].setPointPicking(s);t.primitives[i].getCABO().getElementCount()&amp;&amp;(t.drawingEdges=a&amp;&amp;(i===Jd.TrisEdges||i===Jd.TriStripsEdges),t.drawingEdges&amp;&amp;(t.renderDepth||t.lastSelectionState&gt;=0)||(t.lastBoundBO=t.primitives[i],t.primitiveIDOffset+=t.primitives[i].drawArrays(n,r,o,e),t.vertexIDOffset+=t.primitives[i].getCABO().getElementCount()))}},e.renderPieceFinish=(e,n)=&gt;{t.LastBoundBO&amp;&amp;t.LastBoundBO.getVAO().release(),t.renderable.getColorTextureMap()&amp;&amp;t.internalColorTexture.deactivate()},e.renderPiece=(n,r)=&gt;{if(e.invokeEvent(rp),t.renderable.getStatic()||t.renderable.update(),t.currentInput=t.renderable.getInputData(),e.invokeEvent(op),!t.currentInput)return void np(&quot;No input!&quot;);if(!t.currentInput.getPoints||!t.currentInput.getPoints().getNumberOfValues())return;const o=t.context,a=r.getProperty().getBackfaceCulling(),i=r.getProperty().getFrontfaceCulling();a||i?i?(t._openGLRenderWindow.enableCullFace(),o.cullFace(o.FRONT)):(t._openGLRenderWindow.enableCullFace(),o.cullFace(o.BACK)):t._openGLRenderWindow.disableCullFace(),e.renderPieceStart(n,r),e.renderPieceDraw(n,r),e.renderPieceFinish(n,r)},e.updateBufferObjects=(t,n)=&gt;{e.getNeedToRebuildBufferObjects(t,n)&amp;&amp;e.buildBufferObjects(t,n),e.updateMaximumPointCellIds()},e.getNeedToRebuildBufferObjects=(n,r)=&gt;{const o=t.VBOBuildTime.getMTime();return o&lt;e.getMTime()||o&lt;t.renderable.getMTime()||o&lt;r.getMTime()||o&lt;t.currentInput.getMTime()},e.buildBufferObjects=(e,n)=&gt;{const r=t.currentInput;if(null===r)return;t.renderable.mapScalars(r,1);const o=t.renderable.getColorMapColors();t.haveCellScalars=!1;const a=t.renderable.getScalarMode();t.renderable.getScalarVisibility()&amp;&amp;(a!==$d.USE_CELL_DATA&amp;&amp;a!==$d.USE_CELL_FIELD_DATA&amp;&amp;a!==$d.USE_FIELD_DATA&amp;&amp;r.getPointData().getScalars()||a===$d.USE_POINT_FIELD_DATA||!o||(t.haveCellScalars=!0));let i=n.getProperty().getInterpolation()!==Qd.FLAT?r.getPointData().getNormals():null;null===i&amp;&amp;r.getCellData().getNormals()&amp;&amp;(t.haveCellNormals=!0,i=r.getCellData().getNormals());const s=n.getProperty().getRepresentation();let l=r.getPointData().getTCoords();t.openGLActor.getActiveTextures()||(l=null);let c=!1;if(t.renderable.getColorCoordinates()){l=t.renderable.getColorCoordinates(),c=t.renderable.getAreScalarsMappedFromCells(),t.internalColorTexture||(t.internalColorTexture=Hd.newInstance({resizable:!0}));const e=t.internalColorTexture;e.setMinificationFilter(ep.NEAREST),e.setMagnificationFilter(ep.NEAREST),e.setWrapS(tp.CLAMP_TO_EDGE),e.setWrapT(tp.CLAMP_TO_EDGE),e.setOpenGLRenderWindow(t._openGLRenderWindow);const n=t.renderable.getColorTextureMap(),r=n.getExtent(),o=n.getPointData().getScalars();e.create2DFromRaw({width:r[1]-r[0]+1,height:r[3]-r[2]+1,numComps:o.getNumberOfComponents(),dataType:o.getDataType(),data:o.getData()}),e.activate(),e.sendParameters(),e.deactivate()}const u=t.renderable.getCustomShaderAttributes().map((e=&gt;r.getPointData().getArrayByName(e))),d=`${r.getMTime()}A${s}B${r.getMTime()}C${i?i.getMTime():1}D${o?o.getMTime():1}E${n.getProperty().getEdgeVisibility()}F${l?l.getMTime():1}G${u.map((e=&gt;e.getMTime())).join(&quot;,&quot;)}`;if(t.VBOBuildString!==d){const e={points:r.getPoints(),normals:i,tcoords:l,colors:o,cellOffset:0,vertexOffset:0,useTCoordsPerCell:c,haveCellScalars:t.haveCellScalars,haveCellNormals:t.haveCellNormals,customAttributes:u};t.renderable.getPopulateSelectionSettings()&amp;&amp;(t.selectionWebGLIdsToVTKIds={points:null,cells:null});const a=[{inRep:&quot;verts&quot;,cells:r.getVerts()},{inRep:&quot;lines&quot;,cells:r.getLines()},{inRep:&quot;polys&quot;,cells:r.getPolys()},{inRep:&quot;strips&quot;,cells:r.getStrips()},{inRep:&quot;polys&quot;,cells:r.getPolys()},{inRep:&quot;strips&quot;,cells:r.getStrips()}],p=n.getProperty().getEdgeVisibility()&amp;&amp;s===Zd.SURFACE;for(let n=Jd.Start;n&lt;Jd.End;n++)n!==Jd.TrisEdges&amp;&amp;n!==Jd.TriStripsEdges?(e.cellOffset+=t.primitives[n].getCABO().createVBO(a[n].cells,a[n].inRep,s,e,t.selectionWebGLIdsToVTKIds),e.vertexOffset+=t.primitives[n].getCABO().getElementCount()):p?t.primitives[n].getCABO().createVBO(a[n].cells,a[n].inRep,Zd.WIREFRAME,{...e,tcoords:null,colors:null,haveCellScalars:!1,haveCellNormals:!1}):t.primitives[n].releaseGraphicsResources();t.renderable.getPopulateSelectionSettings()&amp;&amp;t.renderable.setSelectionWebGLIdsToVTKIds(t.selectionWebGLIdsToVTKIds),t.VBOBuildString=d}t.VBOBuildTime.modified()},e.getAllocatedGPUMemoryInBytes=()=&gt;{let e=0;return t.primitives.forEach((t=&gt;{e+=t.getAllocatedGPUMemoryInBytes()})),e}}const sp={context:null,VBOBuildTime:0,VBOBuildString:null,primitives:null,primTypes:null,shaderRebuildString:null,tmpMat4:null,ambientColor:[],diffuseColor:[],specularColor:[],lightColor:[],lightDirection:[],lastHaveSeenDepthRequest:!1,haveSeenDepthRequest:!1,lastSelectionState:Bl.MIN_KNOWN_PASS-1,selectionStateChanged:null,selectionWebGLIdsToVTKIds:null,pointPicking:!1};function lp(e,t,n={}){Object.assign(t,sp,n),pn.extend(e,t,n),qd.implementReplaceShaderCoincidentOffset(e,t,n),qd.implementBuildShadersWithReplacements(e,t,n),t.primitives=[],t.primTypes=Jd,t.tmpMat3=c(new Float64Array(9)),t.tmpMat4=x(new Float64Array(16));for(let e=Jd.Start;e&lt;Jd.End;e++)t.primitives[e]=Sd.newInstance(),t.primitives[e].setPrimitiveType(e),t.primitives[e].set({lastLightComplexity:0,lastLightCount:0,lastSelectionPass:!1},!0);Gt(e,t,[&quot;context&quot;]),t.VBOBuildTime={},Vt(t.VBOBuildTime,{mtime:0}),t.selectionStateChanged={},Vt(t.selectionStateChanged,{mtime:0}),ip(e,t)}const cp=Xt(lp,&quot;vtkOpenGLPolyDataMapper&quot;);var up={newInstance:cp,extend:lp};vn(&quot;vtkMapper&quot;,cp);const dp=1,{primTypes:pp}=Sd,{Filter:fp,Wrap:gp}=Hd,{vtkErrorMacro:mp}=ln,hp={type:&quot;StartEvent&quot;},vp={type:&quot;EndEvent&quot;};const Tp={context:null,VBOBuildTime:0,VBOBuildString:null,primitives:null,primTypes:null,shaderRebuildString:null};const xp=Xt((function(e,t,n={}){Object.assign(t,Tp,n),pn.extend(e,t,n),qd.implementReplaceShaderCoincidentOffset(e,t,n),qd.implementBuildShadersWithReplacements(e,t,n),t.primitives=[],t.primTypes=pp,t.tmpMat4=x(new Float64Array(16));for(let e=pp.Start;e&lt;pp.End;e++)t.primitives[e]=Sd.newInstance(),t.primitives[e].setPrimitiveType(e),t.primitives[e].set({lastLightComplexity:0,lastLightCount:0,lastSelectionPass:!1},!0);Gt(e,t,[&quot;context&quot;]),t.VBOBuildTime={},Vt(t.VBOBuildTime,{mtime:0}),function(e,t){t.classHierarchy.push(&quot;vtkOpenGLPolyDataMapper2D&quot;),e.buildPass=n=&gt;{n&amp;&amp;(t.openGLActor2D=e.getFirstAncestorOfType(&quot;vtkOpenGLActor2D&quot;),t._openGLRenderer=t.openGLActor2D.getFirstAncestorOfType(&quot;vtkOpenGLRenderer&quot;),t._openGLRenderWindow=t._openGLRenderer.getLastAncestorOfType(&quot;vtkOpenGLRenderWindow&quot;),t.openGLCamera=t._openGLRenderer.getViewNodeFor(t._openGLRenderer.getRenderable().getActiveCamera(),t.openGLCamera))},e.overlayPass=t=&gt;{t&amp;&amp;e.render()},e.getShaderTemplate=(e,t,n)=&gt;{e.Vertex=&quot;//VTK::System::Dec\\n\\n/*=========================================================================\\n\\n  Program:   Visualization Toolkit\\n  Module:    vtkPolyData2DVS.glsl\\n\\n  Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen\\n  All rights reserved.\\n  See Copyright.txt or http://www.kitware.com/Copyright.htm for details.\\n\\n     This software is distributed WITHOUT ANY WARRANTY; without even\\n     the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR\\n     PURPOSE.  See the above copyright notice for more information.\\n\\n=========================================================================*/\\n\\n// all variables that represent positions or directions have a suffix\\n// indicating the coordinate system they are in. The possible values are\\n// MC - Model Coordinates\\n// WC - WC world coordinates\\n// VC - View Coordinates\\n// DC - Display Coordinates\\n\\nin vec4 vertexWC;\\n\\n// frag position in VC\\n//VTK::PositionVC::Dec\\n\\n// material property values\\n//VTK::Color::Dec\\n\\n// Texture coordinates\\n//VTK::TCoord::Dec\\n\\n// Apple Bug\\n//VTK::PrimID::Dec\\n\\nuniform mat4 WCVCMatrix;  // World to view matrix\\n\\nvoid main()\\n{\\n  // Apple Bug\\n  //VTK::PrimID::Impl\\n\\n  gl_Position = WCVCMatrix*vertexWC;\\n\\n  //VTK::TCoord::Impl\\n\\n  //VTK::Color::Impl\\n\\n  //VTK::PositionVC::Impl\\n}\\n&quot;,e.Fragment=&quot;//VTK::System::Dec\\n\\n/*=========================================================================\\n\\n  Program:   Visualization Toolkit\\n  Module:    vtkPolyData2DFS.glsl\\n\\n  Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen\\n  All rights reserved.\\n  See Copyright.txt or http://www.kitware.com/Copyright.htm for details.\\n\\n     This software is distributed WITHOUT ANY WARRANTY; without even\\n     the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR\\n     PURPOSE.  See the above copyright notice for more information.\\n\\n=========================================================================*/\\n\\nuniform int PrimitiveIDOffset;\\n\\n// Texture coordinates\\n//VTK::TCoord::Dec\\n\\n// Scalar coloring\\n//VTK::Color::Dec\\n\\n// Depth Peeling\\n//VTK::DepthPeeling::Dec\\n\\n// picking support\\n//VTK::Picking::Dec\\n\\n// the output of this shader\\n//VTK::Output::Dec\\n\\n// Apple Bug\\n//VTK::PrimID::Dec\\n\\nvoid main()\\n{\\n  // Apple Bug\\n  //VTK::PrimID::Impl\\n\\n  //VTK::Color::Impl\\n  //VTK::TCoord::Impl\\n\\n  //VTK::DepthPeeling::Impl\\n  //VTK::Picking::Impl\\n\\n  if (gl_FragData[0].a &lt;= 0.0)\\n    {\\n    discard;\\n    }\\n}\\n&quot;,e.Geometry=&quot;&quot;},e.render=()=&gt;{const n=t._openGLRenderWindow.getContext();if(t.context!==n){t.context=n;for(let e=pp.Start;e&lt;pp.End;e++)t.primitives[e].setOpenGLRenderWindow(t._openGLRenderWindow)}const r=t.openGLActor2D.getRenderable(),o=t._openGLRenderer.getRenderable();e.renderPiece(o,r)},e.renderPiece=(n,r)=&gt;{if(e.invokeEvent(hp),t.renderable.getStatic()||t.renderable.update(),t.currentInput=t.renderable.getInputData(),e.invokeEvent(vp),!t.currentInput)return void mp(&quot;No input!&quot;);if(!t.currentInput.getPoints||!t.currentInput.getPoints().getNumberOfValues())return;const o=t.context;t._openGLRenderWindow.enableCullFace(),o.cullFace(o.BACK),e.renderPieceStart(n,r),e.renderPieceDraw(n,r),e.renderPieceFinish(n,r)},e.renderPieceStart=(n,r)=&gt;{t.primitiveIDOffset=0,t._openGLRenderer.getSelector()&amp;&amp;(t._openGLRenderer.getSelector().getCurrentPass(),t._openGLRenderer.getSelector().renderProp(r)),t.renderable.getColorTextureMap()&amp;&amp;t.internalColorTexture.activate(),e.updateBufferObjects(n,r),t.lastBoundBO=null},e.getNeedToRebuildShaders=(e,n,r)=&gt;e.getShaderSourceTime().getMTime()&lt;t.renderable.getMTime()||e.getShaderSourceTime().getMTime()&lt;t.currentInput.getMTime(),e.updateBufferObjects=(t,n)=&gt;{e.getNeedToRebuildBufferObjects(t,n)&amp;&amp;e.buildBufferObjects(t,n)},e.getNeedToRebuildBufferObjects=(n,r)=&gt;{const o=t.VBOBuildTime.getMTime();return!!(o&lt;e.getMTime()||o&lt;t._openGLRenderWindow.getMTime()||o&lt;t.renderable.getMTime()||o&lt;r.getMTime()||o&lt;t.currentInput.getMTime()||t.renderable.getTransformCoordinate()&amp;&amp;o&lt;n.getMTime())},e.buildBufferObjects=(e,n)=&gt;{const r=t.currentInput;if(null===r)return;t.renderable.mapScalars(r,n.getProperty().getOpacity());const o=t.renderable.getColorMapColors(),a=n.getProperty().getRepresentation();let i=r.getPointData().getTCoords();t.openGLActor2D.getActiveTextures()||(i=null);let s=!1;if(t.renderable.getColorCoordinates()){i=t.renderable.getColorCoordinates(),s=t.renderable.getAreScalarsMappedFromCells(),t.internalColorTexture||(t.internalColorTexture=Hd.newInstance({resizable:!0}));const e=t.internalColorTexture;e.setMinificationFilter(fp.NEAREST),e.setMagnificationFilter(fp.NEAREST),e.setWrapS(gp.CLAMP_TO_EDGE),e.setWrapT(gp.CLAMP_TO_EDGE),e.setOpenGLRenderWindow(t._openGLRenderWindow);const n=t.renderable.getColorTextureMap(),r=n.getExtent(),o=n.getPointData().getScalars();e.create2DFromRaw({width:r[1]-r[0]+1,height:r[3]-r[2]+1,numComps:o.getNumberOfComponents(),dataType:o.getDataType(),data:o.getData()}),e.activate(),e.sendParameters(),e.deactivate()}const l=t.renderable.getTransformCoordinate(),c=e.getRenderWindow().getViews()[0].getViewportSize(e),u=`${r.getMTime()}A${a}B${r.getMTime()}C${o?o.getMTime():1}D${i?i.getMTime():1}E${l?e.getMTime():1}F${c}`;if(t.VBOBuildString!==u){let n=r.getPoints();if(l){const t=lc.newInstance(),r=n.getNumberOfPoints();t.setNumberOfPoints(r);const o=[];for(let a=0;a&lt;r;++a){n.getPoint(a,o),l.setValue(o);const r=l.getComputedDoubleViewportValue(e);t.setPoint(a,r[0],r[1],0)}n=t}const c={points:n,tcoords:i,colors:o,cellOffset:0,useTCoordsPerCell:s,haveCellScalars:t.renderable.getAreScalarsMappedFromCells(),customAttributes:t.renderable.getCustomShaderAttributes().map((e=&gt;r.getPointData().getArrayByName(e)))};c.cellOffset+=t.primitives[pp.Points].getCABO().createVBO(r.getVerts(),&quot;verts&quot;,a,c),c.cellOffset+=t.primitives[pp.Lines].getCABO().createVBO(r.getLines(),&quot;lines&quot;,a,c),c.cellOffset+=t.primitives[pp.Tris].getCABO().createVBO(r.getPolys(),&quot;polys&quot;,a,c),c.cellOffset+=t.primitives[pp.TriStrips].getCABO().createVBO(r.getStrips(),&quot;strips&quot;,a,c),t.VBOBuildTime.modified(),t.VBOBuildString=u}},e.renderPieceDraw=(n,r)=&gt;{const o=r.getProperty().getRepresentation();t.context.depthMask(!0);for(let a=pp.Start;a&lt;pp.End;a++)t.primitives[a].getCABO().getElementCount()&amp;&amp;(t.lastBoundBO=t.primitives[a],t.primitiveIDOffset+=t.primitives[a].drawArrays(n,r,o,e))},e.renderPieceFinish=(e,n)=&gt;{t.lastBoundBO&amp;&amp;t.lastBoundBO.getVAO().release(),t.renderable.getColorTextureMap()&amp;&amp;t.internalColorTexture.deactivate()},e.replaceShaderValues=(t,n,r)=&gt;{e.replaceShaderColor(t,n,r),e.replaceShaderTCoord(t,n,r),e.replaceShaderPicking(t,n,r),e.replaceShaderPositionVC(t,n,r)},e.replaceShaderColor=(e,n,r)=&gt;{let o=e.Vertex,a=e.Geometry,i=e.Fragment,s=[&quot;uniform vec3 diffuseColorUniform;&quot;,&quot;uniform float opacityUniform;&quot;],l=[&quot;vec3 diffuseColor = diffuseColorUniform;&quot;,&quot;float opacity = opacityUniform;&quot;];0!==t.lastBoundBO.getCABO().getColorComponents()?(s=s.concat([&quot;varying vec4 vertexColorVSOutput;&quot;]),o=vd.substitute(o,&quot;//VTK::Color::Dec&quot;,[&quot;attribute vec4 scalarColor;&quot;,&quot;varying vec4 vertexColorVSOutput;&quot;]).result,o=vd.substitute(o,&quot;//VTK::Color::Impl&quot;,[&quot;vertexColorVSOutput =  scalarColor;&quot;]).result,a=vd.substitute(a,&quot;//VTK::Color::Dec&quot;,[&quot;in vec4 vertexColorVSOutput[];&quot;,&quot;out vec4 vertexColorGSOutput;&quot;]).result,a=vd.substitute(a,&quot;//VTK::Color::Impl&quot;,[&quot;vertexColorGSOutput = vertexColorVSOutput[i];&quot;]).result,i=vd.substitute(i,&quot;//VTK::Color::Impl&quot;,l.concat([&quot;  diffuseColor = vertexColorVSOutput.rgb;&quot;,&quot;  opacity = opacity*vertexColorVSOutput.a;&quot;])).result):t.renderable.getAreScalarsMappedFromCells()&amp;&amp;(l=l.concat([&quot;  vec4 texColor = texture2D(texture1, tcoordVCVSOutput.st);&quot;,&quot;  diffuseColor = texColor.rgb;&quot;,&quot;  opacity = opacity*texColor.a;&quot;])),l=l.concat([&quot;gl_FragData[0] = vec4(diffuseColor, opacity);&quot;]),i=vd.substitute(i,&quot;//VTK::Color::Dec&quot;,s).result,i=vd.substitute(i,&quot;//VTK::Color::Impl&quot;,l).result,e.Vertex=o,e.Geometry=a,e.Fragment=i},e.replaceShaderTCoord=(e,n,r)=&gt;{if(t.lastBoundBO.getCABO().getTCoordOffset()){let n=e.Vertex,r=e.Geometry,o=e.Fragment;const a=t.lastBoundBO.getCABO().getTCoordComponents();1===a?(n=vd.substitute(n,&quot;//VTK::TCoord::Dec&quot;,[&quot;in float tcoordMC;&quot;,&quot;out float tcoordVCVSOutput;&quot;]).result,n=vd.substitute(n,&quot;//VTK::TCoord::Impl&quot;,[&quot;tcoordVCVSOutput = tcoordMC;&quot;]).result,r=vd.substitute(r,&quot;//VTK::TCoord::Dec&quot;,[&quot;in float tcoordVCVSOutput[];\\n&quot;,&quot;out float tcoordVCGSOutput;&quot;]).result,r=vd.substitute(r,[&quot;//VTK::TCoord::Impl&quot;,&quot;tcoordVCGSOutput = tcoordVCVSOutput[i];&quot;]).result,o=vd.substitute(o,&quot;//VTK::TCoord::Dec&quot;,[&quot;in float tcoordVCVSOutput;&quot;,&quot;uniform sampler2D texture1;&quot;]).result,o=vd.substitute(o,&quot;//VTK::TCoord::Impl&quot;,[&quot;gl_FragData[0] = gl_FragData[0]*texture2D(texture1, vec2(tcoordVCVSOutput,0));&quot;]).result):2===a&amp;&amp;(n=vd.substitute(n,&quot;//VTK::TCoord::Dec&quot;,[&quot;in vec2 tcoordMC;&quot;,&quot;out vec2 tcoordVCVSOutput;&quot;]).result,n=vd.substitute(n,&quot;//VTK::TCoord::Impl&quot;,[&quot;tcoordVCVSOutput = tcoordMC;&quot;]).result,r=vd.substitute(r,&quot;//VTK::TCoord::Dec&quot;,[&quot;in vec2 tcoordVCVSOutput[];\\n&quot;,&quot;out vec2 tcoordVCGSOutput;&quot;]).result,r=vd.substitute(r,&quot;//VTK::TCoord::Impl&quot;,[&quot;tcoordVCGSOutput = tcoordVCVSOutput[i];&quot;]).result,o=vd.substitute(o,&quot;//VTK::TCoord::Dec&quot;,[&quot;in vec2 tcoordVCVSOutput;&quot;,&quot;uniform sampler2D texture1;&quot;]).result,o=vd.substitute(o,&quot;//VTK::TCoord::Impl&quot;,[&quot;gl_FragData[0] = gl_FragData[0]*texture2D(texture1, tcoordVCVSOutput.st);&quot;]).result),t.renderable.getAreScalarsMappedFromCells()&amp;&amp;(r=vd.substitute(r,&quot;//VTK::PrimID::Impl&quot;,[&quot;gl_PrimitiveID = gl_PrimitiveIDIn;&quot;]).result),e.Vertex=n,e.Geometry=r,e.Fragment=o}},e.replaceShaderPicking=(e,t,n)=&gt;{let r=e.Fragment;r=vd.substitute(r,&quot;//VTK::Picking::Dec&quot;,[&quot;uniform vec3 mapperIndex;&quot;,&quot;uniform int picking;&quot;]).result,r=vd.substitute(r,&quot;//VTK::Picking::Impl&quot;,&quot;  gl_FragData[0] = picking != 0 ? vec4(mapperIndex,1.0) : gl_FragData[0];&quot;).result,e.Fragment=r},e.replaceShaderPositionVC=(e,n,r)=&gt;{t.lastBoundBO.replaceShaderPositionVC(e,n,r)},e.invokeShaderCallbacks=(e,n,r)=&gt;{const o=t.renderable.getViewSpecificProperties().ShadersCallbacks;o&amp;&amp;o.forEach((t=&gt;{t.callback(t.userData,e,n,r)}))},e.setMapperShaderParameters=(e,n,r)=&gt;{if(e.getProgram().isUniformUsed(&quot;PrimitiveIDOffset&quot;)&amp;&amp;e.getProgram().setUniformi(&quot;PrimitiveIDOffset&quot;,t.primitiveIDOffset),e.getProgram().isAttributeUsed(&quot;vertexWC&quot;)&amp;&amp;(e.getVAO().addAttributeArray(e.getProgram(),e.getCABO(),&quot;vertexWC&quot;,e.getCABO().getVertexOffset(),e.getCABO().getStride(),t.context.FLOAT,3,!1)||mp(&quot;Error setting vertexWC in shader VAO.&quot;)),e.getCABO().getElementCount()&amp;&amp;(t.VBOBuildTime.getMTime()&gt;e.getAttributeUpdateTime().getMTime()||e.getShaderSourceTime().getMTime()&gt;e.getAttributeUpdateTime().getMTime())){t.renderable.getCustomShaderAttributes().forEach(((n,r)=&gt;{e.getProgram().isAttributeUsed(`${n}MC`)&amp;&amp;(e.getVAO().addAttributeArray(e.getProgram(),e.getCABO(),`${n}MC`,e.getCABO().getCustomData()[r].offset,e.getCABO().getStride(),t.context.FLOAT,e.getCABO().getCustomData()[r].components,!1)||mp(`Error setting ${n}MC in shader VAO.`))})),e.getProgram().isAttributeUsed(&quot;tcoordMC&quot;)&amp;&amp;e.getCABO().getTCoordOffset()?e.getVAO().addAttributeArray(e.getProgram(),e.getCABO(),&quot;tcoordMC&quot;,e.getCABO().getTCoordOffset(),e.getCABO().getStride(),t.context.FLOAT,e.getCABO().getTCoordComponents(),!1)||mp(&quot;Error setting tcoordMC in shader VAO.&quot;):e.getVAO().removeAttributeArray(&quot;tcoordMC&quot;),e.getProgram().isAttributeUsed(&quot;scalarColor&quot;)&amp;&amp;e.getCABO().getColorComponents()?e.getVAO().addAttributeArray(e.getProgram(),e.getCABO().getColorBO(),&quot;scalarColor&quot;,e.getCABO().getColorOffset(),e.getCABO().getColorBOStride(),t.context.UNSIGNED_BYTE,4,!0)||mp(&quot;Error setting scalarColor in shader VAO.&quot;):e.getVAO().removeAttributeArray(&quot;scalarColor&quot;),t.internalColorTexture&amp;&amp;e.getProgram().isUniformUsed(&quot;texture1&quot;)&amp;&amp;t.internalColorTexture.getTextureUnit()&gt;-1&amp;&amp;e.getProgram().setUniformi(&quot;texture1&quot;,t.internalColorTexture.getTextureUnit());const o=t.openGLActor2D.getActiveTextures();if(o)for(let t=0;t&lt;o.length;++t){const n=o[t].getTextureUnit(),r=`texture${n+1}`;e.getProgram().isUniformUsed(r)&amp;&amp;e.getProgram().setUniformi(r,n)}e.setMapperShaderParameters(n,r,t._openGLRenderer.getTiledSizeAndOrigin());const a=t._openGLRenderer.getSelector();e.getProgram().setUniform3fArray(&quot;mapperIndex&quot;,a?a.getPropColorValue():[0,0,0]),e.getProgram().setUniformi(&quot;picking&quot;,a?a.getCurrentPass()+1:0)}},e.setPropertyShaderParameters=(e,n,r)=&gt;{const o=t.renderable.getColorMapColors();if(!o||0===o.getNumberOfComponents()){const t=e.getProgram(),n=r.getProperty(),o=n.getOpacity();t.setUniformf(&quot;opacityUniform&quot;,o);const a=n.getColor();t.setUniform3fArray(&quot;diffuseColorUniform&quot;,a)}},e.setLightingShaderParameters=(e,t,n)=&gt;{},e.setCameraShaderParameters=(e,n,r)=&gt;{const o=e.getProgram(),a=e.getCABO().getCoordShiftAndScaleEnabled()?e.getCABO().getInverseShiftAndScaleMatrix():null,i=n.getRenderWindow().getViews()[0].getViewportSize(n),s=n.getViewport(),l=r.getActualPositionCoordinate().getComputedDoubleViewportValue(n),c=[0,0,1,1],u=[0,0,1,1];if(u[0]=s[0]&gt;=c[0]?s[0]:c[0],u[1]=s[1]&gt;=c[1]?s[1]:c[1],u[2]=s[2]&lt;=c[2]?s[2]:c[2],u[3]=s[3]&lt;=c[3]?s[3]:c[3],u[0]&gt;=u[2])return;if(u[1]&gt;=u[3])return;i[0]=Oo(i[0]*(u[2]-u[0])/(s[2]-s[0])),i[1]=Oo(i[1]*(u[3]-u[1])/(s[3]-s[1]));const d=t._openGLRenderer.getParent().getSize(),p=Oo(l[0]-(u[0]-s[0])*d[0]),f=Oo(l[1]-(u[1]-s[1])*d[1]),g=-p;let m=-p+i[0];const h=-f;let v=-f+i[1];g===m&amp;&amp;(m=g+1),h===v&amp;&amp;(v=h+1);const T=x(new Float64Array(16));var b,A,C;T[0]=2/(m-g),T[5]=2/(v-h),T[3]=-1*(m+g)/(m-g),T[7]=-1*(v+h)/(v-h),T[10]=0,T[11]=r.getProperty().getDisplayLocation()===dp?-1:1,T[15]=1,y(T,T),o.setUniformMatrix(&quot;WCVCMatrix&quot;,(b=[T,a],A=H,C=t.tmpMat4,A.identity(C),b.reduce(((e,t,n)=&gt;0===n?t?A.copy(e,t):A.identity(e):t?A.multiply(e,e,t):e),C)))},e.getAllocatedGPUMemoryInBytes=()=&gt;{let e=0;return t.primitives.forEach((t=&gt;{e+=t.getAllocatedGPUMemoryInBytes()})),e}}(e,t)}),&quot;vtkOpenGLPolyDataMapper2D&quot;);vn(&quot;vtkMapper2D&quot;,xp);var yp={Orientation:{HORIZONTAL:&quot;horizontal&quot;,VERTICAL:&quot;vertical&quot;,AUTO:&quot;auto&quot;}};const{VectorMode:bp}=yl,{Orientation:Ap}=yp;function Cp(e,t,n){e.strokeStyle=t.strokeColor,e.lineWidth=t.strokeSize,e.fillStyle=t.fontColor;const r=t.fontSize??n;e.font=`${t.fontStyle} ${r}px ${t.fontFamily}`}function Sp(e,t){return e=&gt;{const n=e.getLastSize(),r=(n[0]/700)**.8,o=(n[1]/700)**.8,a=Math.min(r,o),i=e.getAxisTextStyle(),s=e.getTickTextStyle();Object.assign(i,t.axisTextStyle),Object.assign(s,t.tickTextStyle),void 0===i.fontSize&amp;&amp;(i.fontSize=Math.max(24*a,12)),void 0===s.fontSize&amp;&amp;(e.getLastAspectRatio()&gt;1?s.fontSize=Math.max(20*a,10):s.fontSize=Math.max(16*a,10));const l=e.updateTextureAtlas();e.setTopTitle(!1);const c=e.getBoxSizeByReference();let u=!1;if(u=t.orientation===Ap.VERTICAL||t.orientation!==Ap.HORIZONTAL&amp;&amp;e.getLastAspectRatio()&gt;1,u)e.setTickLabelPixelOffset(.3*s.fontSize),l.titleWidth&lt;=l.tickWidth+e.getTickLabelPixelOffset()+.8*s.fontSize?(e.setTopTitle(!0),e.setAxisTitlePixelOffset(.2*s.fontSize),c[0]=2*(l.tickWidth+e.getTickLabelPixelOffset()+.8*s.fontSize)/n[0],e.setBoxPosition([.98-c[0],-.92])):(e.setAxisTitlePixelOffset(.2*s.fontSize),c[0]=2*(l.titleHeight+e.getAxisTitlePixelOffset()+l.tickWidth+e.getTickLabelPixelOffset()+.8*s.fontSize)/n[0],e.setBoxPosition([.99-c[0],-.92])),c[1]=Math.max(1.2,Math.min(1.84/o,1.84));else{e.setAxisTitlePixelOffset(1.2*s.fontSize),e.setTickLabelPixelOffset(.1*s.fontSize);const t=2*(.8*s.fontSize+l.titleHeight+e.getAxisTitlePixelOffset())/n[1],r=2*l.tickWidth/n[0];c[0]=Math.min(1.9,Math.max(1.4,1.4*r*(e.getTicks().length+3))),c[1]=t,e.setBoxPosition([-.5*c[0],-.97])}e.recomputeBarSegments(l)}}function Pp(e,t){return e=&gt;{const t=e.getLastTickBounds(),n=$r().domain([t[0],t[1]]),r=n.ticks(5),o=n.tickFormat(5);e.setTicks(r),e.setTickStrings(r.map(o))}}const wp=sn.newInstance(((e,t,n={renderable:null})=&gt;{Object.assign(t,{},n),sn.obj(e,t),sn.setGet(e,t,[&quot;axisTitlePixelOffset&quot;,&quot;tickLabelPixelOffset&quot;,&quot;renderable&quot;,&quot;topTitle&quot;,&quot;ticks&quot;,&quot;tickStrings&quot;,&quot;tickPositions&quot;]),sn.get(e,t,[&quot;lastSize&quot;,&quot;lastAspectRatio&quot;,&quot;lastTickBounds&quot;,&quot;axisTextStyle&quot;,&quot;tickTextStyle&quot;,&quot;barActor&quot;,&quot;tmActor&quot;]),sn.getArray(e,t,[&quot;boxPosition&quot;,&quot;boxSize&quot;]),sn.setArray(e,t,[&quot;boxPosition&quot;,&quot;boxSize&quot;],2),t.forceUpdate=!1,t.lastRebuildTime={},sn.obj(t.lastRebuildTime,{mtime:0}),t.lastSize=[-1,-1],t.tmCanvas=document.createElement(&quot;canvas&quot;),t.tmContext=t.tmCanvas.getContext(&quot;2d&quot;),t._tmAtlas=new Map,t.barMapper=Ql.newInstance(),t.barMapper.setInterpolateScalarsBeforeMapping(!0),t.barMapper.setUseLookupTableScalarRange(!0),t.polyData=Ru.newInstance(),t.barMapper.setInputData(t.polyData),t.barActor=fs.newInstance(),t.barActor.setMapper(t.barMapper),t.tmPolyData=Ru.newInstance(),t.tmMapper=Ql.newInstance(),t.tmMapper.setInputData(t.tmPolyData),t.tmTexture=Eu.newInstance({resizable:!0}),t.tmTexture.setInterpolate(!1),t.tmActor=fs.newInstance({parentProp:e}),t.tmActor.setMapper(t.tmMapper),t.tmActor.addTexture(t.tmTexture),t.barPosition=[0,0],t.barSize=[0,0],t.boxPosition=[.88,-.92],t.boxSize=[.1,1.1],t.lastTickBounds=[],function(e,t){t.classHierarchy.push(&quot;vtkScalarBarActorHelper&quot;),e.setRenderable=n=&gt;{t.renderable!==n&amp;&amp;(t.renderable=n,t.barActor.setProperty(n.getProperty()),t.barActor.setParentProp(n),t.barActor.setCoordinateSystemToDisplay(),t.tmActor.setProperty(n.getProperty()),t.tmActor.setParentProp(n),t.tmActor.setCoordinateSystemToDisplay(),t.generateTicks=n.generateTicks,t.axisTextStyle={...n.getAxisTextStyle()},t.tickTextStyle={...n.getTickTextStyle()},e.modified())},e.updateAPISpecificData=(n,r,o)=&gt;{t.lastSize[0]===n[0]&amp;&amp;t.lastSize[1]===n[1]||(t.lastSize[0]=n[0],t.lastSize[1]=n[1],t.lastAspectRatio=n[0]/n[1],t.forceUpdate=!0);const a=t.renderable.getScalarsToColors();if(a&amp;&amp;t.renderable.getVisibility()&amp;&amp;(t.barMapper.setLookupTable(a),t.camera=r,t.renderWindow=o,t.forceUpdate||Math.max(a.getMTime(),e.getMTime(),t.renderable.getMTime())&gt;t.lastRebuildTime.getMTime())){const n=a.getMappingRange();if(t.lastTickBounds=[...n],t.renderable.getGenerateTicks()(e),t.renderable.getAutomated())t.renderable.getAutoLayout()(e);else{t.axisTextStyle={...t.renderable.getAxisTextStyle()},t.tickTextStyle={...t.renderable.getTickTextStyle()},t.barPosition=[...t.renderable.getBarPosition()],t.barSize=[...t.renderable.getBarSize()],t.boxPosition=[...t.renderable.getBoxPosition()],t.boxSize=[...t.renderable.getBoxSize()],t.axisTitlePixelOffset=t.renderable.getAxisTitlePixelOffset(),t.tickLabelPixelOffset=t.renderable.getTickLabelPixelOffset();const n=e.updateTextureAtlas();e.recomputeBarSegments(n)}e.updatePolyDataForLabels(),e.updatePolyDataForBarSegments(),t.lastRebuildTime.modified(),t.forceUpdate=!1}},e.updateTextureAtlas=()=&gt;{t.tmContext.textBaseline=&quot;bottom&quot;,t.tmContext.textAlign=&quot;left&quot;;const n={},r=new Map;let o=0,a=1;Cp(t.tmContext,t.axisTextStyle,18);let i=t.tmContext.measureText(t.renderable.getAxisLabel()),s={height:i.actualBoundingBoxAscent+2,startingHeight:a,width:i.width+2,textStyle:t.axisTextStyle};r.set(t.renderable.getAxisLabel(),s),a+=s.height,o=s.width,n.titleWidth=s.width,n.titleHeight=s.height,n.tickWidth=0,n.tickHeight=0,Cp(t.tmContext,t.tickTextStyle,14);const l=[...e.getTickStrings(),&quot;NaN&quot;,&quot;Below&quot;,&quot;Above&quot;];for(let e=0;e&lt;l.length;e++)r.has(l[e])||(i=t.tmContext.measureText(l[e]),s={height:i.actualBoundingBoxAscent+2,startingHeight:a,width:i.width+2,textStyle:t.tickTextStyle},r.set(l[e],s),a+=s.height,o&lt;s.width&amp;&amp;(o=s.width),n.tickWidth&lt;s.width&amp;&amp;(n.tickWidth=s.width),n.tickHeight&lt;s.height&amp;&amp;(n.tickHeight=s.height));return o=Bo(o),a=Bo(a),r.forEach((e=&gt;{e.tcoords=[0,(a-e.startingHeight-e.height)/a,e.width/o,(a-e.startingHeight-e.height)/a,e.width/o,(a-e.startingHeight)/a,0,(a-e.startingHeight)/a]})),t.tmCanvas.width=o,t.tmCanvas.height=a,t.tmContext.textBaseline=&quot;bottom&quot;,t.tmContext.textAlign=&quot;left&quot;,t.tmContext.clearRect(0,0,o,a),r.forEach(((e,n)=&gt;{const r=e.textStyle===t.axisTextStyle?18:14;Cp(t.tmContext,e.textStyle,r),t.tmContext.fillText(n,1,e.startingHeight+e.height-1)})),t.tmTexture.setCanvas(t.tmCanvas),t.tmTexture.modified(),t._tmAtlas=r,n},e.computeBarSize=e=&gt;{t.vertical=t.boxSize[1]&gt;t.boxSize[0];const n=2*e.tickHeight/t.lastSize[1],r=[1,1];if(t.vertical){const o=2*(e.tickWidth+t.tickLabelPixelOffset)/t.lastSize[0];if(t.topTitle){const n=2*(e.titleHeight+t.axisTitlePixelOffset)/t.lastSize[1];t.barSize[0]=t.boxSize[0]-o,t.barSize[1]=t.boxSize[1]-n}else{const n=2*(e.titleHeight+t.axisTitlePixelOffset)/t.lastSize[0];t.barSize[0]=t.boxSize[0]-n-o,t.barSize[1]=t.boxSize[1]}t.barPosition[0]=t.boxPosition[0]+o,t.barPosition[1]=t.boxPosition[1],r[1]=n}else{const n=(2*e.tickWidth-8)/t.lastSize[0],o=2*(e.titleHeight+t.axisTitlePixelOffset)/t.lastSize[1];t.barSize[0]=t.boxSize[0],t.barPosition[0]=t.boxPosition[0],t.barSize[1]=t.boxSize[1]-o,t.barPosition[1]=t.boxPosition[1],r[0]=n}return r},e.recomputeBarSegments=n=&gt;{const r=e.computeBarSize(n);t.barSegments=[];const o=[0,0],a=t.vertical?1:0,i=t.vertical?.01:.02;function s(e,n){t.barSegments.push({corners:[[...o],[o[0]+r[0],o[1]],[o[0]+r[0],o[1]+r[1]],[o[0],o[1]+r[1]]],scalars:n,title:e}),o[a]+=r[a]+i}t.renderable.getDrawNanAnnotation()&amp;&amp;t.renderable.getScalarsToColors().getNanColor()&amp;&amp;s(&quot;NaN&quot;,[NaN,NaN,NaN,NaN]),t.renderable.getDrawBelowRangeSwatch()&amp;&amp;t.renderable.getScalarsToColors().getUseBelowRangeColor?.()&amp;&amp;s(&quot;Below&quot;,[-.1,-.1,-.1,-.1]);const l=t.renderable.getScalarsToColors().getUseAboveRangeColor?.();o[a]+=i;const c=r[a];r[a]=l?1-2*i-r[a]-o[a]:1-i-o[a],s(&quot;ticks&quot;,t.vertical?[0,0,.995,.995]:[0,.995,.995,0]),t.renderable.getDrawAboveRangeSwatch()&amp;&amp;l&amp;&amp;(r[a]=c,o[a]+=i,s(&quot;Above&quot;,[1.1,1.1,1.1,1.1]))};const n=new Float64Array(3);e.createPolyDataForOneLabel=(e,r,o,a,i,s)=&gt;{const l=t._tmAtlas.get(e);if(!l)return;let c=s.ptIdx,u=s.cellIdx;n[0]=(.5*r[0]+.5)*t.lastSize[0],n[1]=(.5*r[1]+.5)*t.lastSize[1],n[2]=r[2],n[0]+=i[0],n[1]+=i[1];const d=[],p=&quot;vertical&quot;===a?[1,0]:[0,1];&quot;vertical&quot;===a?(d[0]=l.width,d[1]=-l.height,&quot;middle&quot;===o[0]?n[1]-=l.width/2:&quot;right&quot;===o[0]&amp;&amp;(n[1]-=l.width),&quot;middle&quot;===o[1]?n[0]+=l.height/2:&quot;top&quot;===o[1]&amp;&amp;(n[0]+=l.height)):(d[0]=l.width,d[1]=l.height,&quot;middle&quot;===o[0]?n[0]-=l.width/2:&quot;right&quot;===o[0]&amp;&amp;(n[0]-=l.width),&quot;middle&quot;===o[1]?n[1]-=l.height/2:&quot;top&quot;===o[1]&amp;&amp;(n[1]-=l.height)),s.points[3*c]=n[0],s.points[3*c+1]=n[1],s.points[3*c+2]=n[2],s.tcoords[2*c]=l.tcoords[0],s.tcoords[2*c+1]=l.tcoords[1],c++,n[p[0]]+=d[0],s.points[3*c]=n[0],s.points[3*c+1]=n[1],s.points[3*c+2]=n[2],s.tcoords[2*c]=l.tcoords[2],s.tcoords[2*c+1]=l.tcoords[3],c++,n[p[1]]+=d[1],s.points[3*c]=n[0],s.points[3*c+1]=n[1],s.points[3*c+2]=n[2],s.tcoords[2*c]=l.tcoords[4],s.tcoords[2*c+1]=l.tcoords[5],c++,n[p[0]]-=d[0],s.points[3*c]=n[0],s.points[3*c+1]=n[1],s.points[3*c+2]=n[2],s.tcoords[2*c]=l.tcoords[6],s.tcoords[2*c+1]=l.tcoords[7],c++,s.polys[4*u]=3,s.polys[4*u+1]=c-4,s.polys[4*u+2]=c-3,s.polys[4*u+3]=c-2,u++,s.polys[4*u]=3,s.polys[4*u+1]=c-4,s.polys[4*u+2]=c-2,s.polys[4*u+3]=c-1,s.ptIdx+=4,s.cellIdx+=2};const r=new Float64Array(3);e.updatePolyDataForLabels=()=&gt;{const n=e.getTickStrings().length+t.barSegments.length,o=4*n,a=2*n,i=new Float64Array(3*o),s=new Uint16Array(4*a),l=new Float32Array(2*o),c={ptIdx:0,cellIdx:0,polys:s,points:i,tcoords:l},u=t.vertical?0:1,d=t.vertical?1:0;r[2]=-.99;const p=t.vertical?[&quot;right&quot;,&quot;middle&quot;]:[&quot;middle&quot;,&quot;bottom&quot;];let f=[0,1];const g=[0,0];t.vertical?(g[0]=-t.tickLabelPixelOffset,t.topTitle?(r[0]=t.boxPosition[0]+.5*t.boxSize[0],r[1]=t.barPosition[1]+t.barSize[1],e.createPolyDataForOneLabel(t.renderable.getAxisLabel(),r,[&quot;middle&quot;,&quot;bottom&quot;],&quot;horizontal&quot;,[0,t.axisTitlePixelOffset],c)):(r[0]=t.barPosition[0]+t.barSize[0],r[1]=t.barPosition[1]+.5*t.barSize[1],e.createPolyDataForOneLabel(t.renderable.getAxisLabel(),r,[&quot;middle&quot;,&quot;top&quot;],&quot;vertical&quot;,[t.axisTitlePixelOffset,0],c)),f=[-1,0]):(g[1]=t.tickLabelPixelOffset,r[0]=t.barPosition[0]+.5*t.barSize[0],r[1]=t.barPosition[1]+t.barSize[1],e.createPolyDataForOneLabel(t.renderable.getAxisLabel(),r,[&quot;middle&quot;,&quot;bottom&quot;],&quot;horizontal&quot;,[0,t.axisTitlePixelOffset],c)),r[u]=t.barPosition[u]+(.5*f[u]+.5)*t.barSize[u],r[d]=t.barPosition[d]+.5*t.barSize[d];let m=null;for(let n=0;n&lt;t.barSegments.length;n++){const o=t.barSegments[n];&quot;ticks&quot;===o.title?m=o:(r[d]=t.barPosition[d]+.5*t.barSize[d]*(o.corners[2][d]+o.corners[0][d]),e.createPolyDataForOneLabel(o.title,r,p,&quot;horizontal&quot;,g,c))}const h=t.barPosition[d]+t.barSize[d]*m.corners[0][d],v=t.barSize[d]*(m.corners[2][d]-m.corners[0][d]),T=e.getTicks(),x=e.getTickStrings(),y=e.getTickPositions();for(let n=0;n&lt;T.length;n++){const o=y?y[n]:(T[n]-t.lastTickBounds[0])/(t.lastTickBounds[1]-t.lastTickBounds[0]);r[d]=h+v*o,e.createPolyDataForOneLabel(x[n],r,p,&quot;horizontal&quot;,g,c)}const b=Is.newInstance({numberOfComponents:2,values:l,name:&quot;TextureCoordinates&quot;});t.tmPolyData.getPointData().setTCoords(b),t.tmPolyData.getPoints().setData(i,3),t.tmPolyData.getPoints().modified(),t.tmPolyData.getPolys().setData(s,1),t.tmPolyData.getPolys().modified(),t.tmPolyData.modified()},e.updatePolyDataForBarSegments=()=&gt;{const e=t.renderable.getScalarsToColors();let n=0;t.renderable.getDrawNanAnnotation()&amp;&amp;e.getNanColor()&amp;&amp;(n+=1),t.renderable.getDrawBelowRangeSwatch()&amp;&amp;e.getUseBelowRangeColor?.()&amp;&amp;(n+=1),t.renderable.getDrawAboveRangeSwatch()&amp;&amp;e.getUseAboveRangeColor?.()&amp;&amp;(n+=1);const o=4*(1+n),a=o;let i=1;e.getVectorMode()===bp.COMPONENT&amp;&amp;(i=e.getVectorComponent()+1);const s=new Float64Array(3*o),l=new Uint16Array(5*a),c=new Float32Array(o*i);let u=0,d=0;for(let e=0;e&lt;t.barSegments.length;e++){const n=t.barSegments[e];for(let e=0;e&lt;4;e++){r[0]=t.barPosition[0]+n.corners[e][0]*t.barSize[0],r[1]=t.barPosition[1]+n.corners[e][1]*t.barSize[1],s[3*u]=(.5*r[0]+.5)*t.lastSize[0],s[3*u+1]=(.5*r[1]+.5)*t.lastSize[1],s[3*u+2]=r[2];for(let r=0;r&lt;i;r++)c[u*i+r]=t.lastTickBounds[0]+n.scalars[e]*(t.lastTickBounds[1]-t.lastTickBounds[0]);u++}l[5*d]=4,l[5*d+1]=u-4,l[5*d+2]=u-3,l[5*d+3]=u-2,l[5*d+4]=u-1,d++}const p=Is.newInstance({numberOfComponents:i,values:c,name:&quot;Scalars&quot;});t.polyData.getPointData().setScalars(p),t.polyData.getPoints().setData(s,3),t.polyData.getPoints().modified(),t.polyData.getPolys().setData(l,1),t.polyData.getPolys().modified(),t.polyData.modified()}}(e,t)}),&quot;vtkScalarBarActorHelper&quot;);function Ip(e,t,n={}){Object.assign(t,function(e){return{automated:!0,autoLayout:null,axisLabel:&quot;Scalar Value&quot;,barPosition:[0,0],barSize:[0,0],boxPosition:[.88,-.92],boxSize:[.1,1.1],scalarToColors:null,axisTitlePixelOffset:36,axisTextStyle:{fontColor:&quot;white&quot;,fontStyle:&quot;normal&quot;,fontSize:void 0,fontFamily:&quot;serif&quot;},tickLabelPixelOffset:14,tickTextStyle:{fontColor:&quot;white&quot;,fontStyle:&quot;normal&quot;,fontSize:void 0,fontFamily:&quot;serif&quot;},generateTicks:null,drawNanAnnotation:!0,drawBelowRangeSwatch:!0,drawAboveRangeSwatch:!0,orientation:null,...e}}(n)),t.autoLayout||(t.autoLayout=Sp(0,t)),t.generateTicks||(t.generateTicks=Pp()),fs.extend(e,t,n),e.getProperty().setDiffuse(0),e.getProperty().setAmbient(1),sn.setGet(e,t,[&quot;automated&quot;,&quot;autoLayout&quot;,&quot;axisTitlePixelOffset&quot;,&quot;axisLabel&quot;,&quot;scalarsToColors&quot;,&quot;tickLabelPixelOffset&quot;,&quot;generateTicks&quot;,&quot;drawNanAnnotation&quot;,&quot;drawBelowRangeSwatch&quot;,&quot;drawAboveRangeSwatch&quot;,&quot;orientation&quot;]),sn.get(e,t,[&quot;axisTextStyle&quot;,&quot;tickTextStyle&quot;]),sn.getArray(e,t,[&quot;barPosition&quot;,&quot;barSize&quot;,&quot;boxPosition&quot;,&quot;boxSize&quot;]),sn.setArray(e,t,[&quot;barPosition&quot;,&quot;barSize&quot;,&quot;boxPosition&quot;,&quot;boxSize&quot;],2),function(e,t){t.classHierarchy.push(&quot;vtkScalarBarActor&quot;),e.setTickTextStyle=n=&gt;{t.tickTextStyle={...t.tickTextStyle,...n},e.modified()},e.setAxisTextStyle=n=&gt;{t.axisTextStyle={...t.axisTextStyle,...n},e.modified()},e.setOrientationToHorizontal=()=&gt;e.setOrientation(Ap.HORIZONTAL),e.setOrientationToVertical=()=&gt;e.setOrientation(Ap.VERTICAL),e.resetAutoLayoutToDefault=()=&gt;{e.setAutoLayout(Sp(0,t))},e.resetGenerateTicksToDefault=()=&gt;{e.setGenerateTicks(Pp())}}(e,t)}var Op={newInstance:sn.newInstance(Ip,&quot;vtkScalarBarActor&quot;),extend:Ip,newScalarBarActorHelper:wp,...yp};const Rp={};vn(&quot;vtkScalarBarActor&quot;,Xt((function(e,t,n={}){Object.assign(t,Rp,n),pn.extend(e,t,n),t.scalarBarActorHelper=Op.newScalarBarActorHelper(),function(e,t){t.classHierarchy.push(&quot;vtkOpenGLScalarBarActor&quot;),e.buildPass=n=&gt;{n&amp;&amp;(t._openGLRenderer=e.getFirstAncestorOfType(&quot;vtkOpenGLRenderer&quot;),t._openGLRenderWindow=t._openGLRenderer.getParent(),t.scalarBarActorHelper.getRenderable()||t.scalarBarActorHelper.setRenderable(t.renderable),e.prepareNodes(),e.addMissingNode(t.scalarBarActorHelper.getBarActor()),e.addMissingNode(t.scalarBarActorHelper.getTmActor()),e.removeUnusedNodes())},e.opaquePass=(e,n)=&gt;{if(e){const e=t._openGLRenderer?t._openGLRenderer.getRenderable().getActiveCamera():null,n=t._openGLRenderer.getTiledSizeAndOrigin();t.scalarBarActorHelper.updateAPISpecificData([n.usize,n.vsize],e,t._openGLRenderWindow.getRenderable())}}}(e,t)}),&quot;vtkOpenGLScalarBarActor&quot;));const{vtkErrorMacro:Mp}=ln;const Dp={context:null};const Ep=Xt((function(e,t,n={}){Object.assign(t,Dp,n),pn.extend(e,t,n),t.openGLTexture=Hd.newInstance(),t.tris=Sd.newInstance(),t.keyMatrixTime={},Vt(t.keyMatrixTime,{mtime:0}),t.keyMatrices={normalMatrix:c(new Float64Array(9)),mcwc:x(new Float64Array(16))},Gt(e,t,[&quot;context&quot;]),Bt(e,t,[&quot;activeTextures&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkOpenGLSkybox&quot;),e.buildPass=n=&gt;{if(n){t._openGLRenderer=e.getFirstAncestorOfType(&quot;vtkOpenGLRenderer&quot;),t._openGLRenderWindow=t._openGLRenderer.getParent(),t.context=t._openGLRenderWindow.getContext(),t.tris.setOpenGLRenderWindow(t._openGLRenderWindow),t.openGLTexture.setOpenGLRenderWindow(t._openGLRenderWindow);const n=t._openGLRenderer.getRenderable();t.openGLCamera=t._openGLRenderer.getViewNodeFor(n.getActiveCamera(),t.openGLCamera)}},e.queryPass=(e,n)=&gt;{if(e){if(!t.renderable||!t.renderable.getVisibility())return;n.incrementOpaqueActorCount()}},e.opaquePass=(n,r)=&gt;{if(n&amp;&amp;!t._openGLRenderer.getSelector()){e.updateBufferObjects(),t.context.depthMask(!0),t._openGLRenderWindow.getShaderCache().readyShaderProgram(t.tris.getProgram()),t.openGLTexture.render(t._openGLRenderWindow);const n=t.openGLTexture.getTextureUnit();t.tris.getProgram().setUniformi(&quot;sbtexture&quot;,n);const r=t._openGLRenderer.getRenderable(),o=t.openGLCamera.getKeyMatrices(r),a=new Float64Array(16);if(b(a,o.wcpc),t.tris.getProgram().setUniformMatrix(&quot;IMCPCMatrix&quot;,a),&quot;box&quot;===t.lastFormat){const e=r.getActiveCamera().getPosition();t.tris.getProgram().setUniform3f(&quot;camPos&quot;,e[0],e[1],e[2])}t.tris.getVAO().bind(),t.context.drawArrays(t.context.TRIANGLES,0,t.tris.getCABO().getElementCount()),t.tris.getVAO().release(),t.openGLTexture.deactivate()}},e.updateBufferObjects=()=&gt;{if(!t.tris.getCABO().getElementCount()){const e=new Float32Array(12);for(let t=0;t&lt;4;t++)e[3*t]=t%2*2-1,e[3*t+1]=t&gt;1?1:-1,e[3*t+2]=1;const n=Is.newInstance({numberOfComponents:3,values:e});n.setName(&quot;points&quot;);const r=new Uint16Array(8);r[0]=3,r[1]=0,r[2]=1,r[3]=3,r[4]=3,r[5]=0,r[6]=3,r[7]=2;const o=Is.newInstance({numberOfComponents:1,values:r});t.tris.getCABO().createVBO(o,&quot;polys&quot;,rs.SURFACE,{points:n,cellOffset:0})}t.renderable.getFormat()!==t.lastFormat&amp;&amp;(t.lastFormat=t.renderable.getFormat(),&quot;box&quot;===t.lastFormat&amp;&amp;t.tris.setProgram(t._openGLRenderWindow.getShaderCache().readyShaderProgramArray(&quot;//VTK::System::Dec\\n             attribute vec3 vertexMC;\\n             uniform mat4 IMCPCMatrix;\\n             varying vec3 TexCoords;\\n             void main () {\\n              gl_Position = vec4(vertexMC.xyz, 1.0);\\n              vec4 wpos = IMCPCMatrix * gl_Position;\\n              TexCoords = wpos.xyz/wpos.w;\\n             }&quot;,&quot;//VTK::System::Dec\\n             //VTK::Output::Dec\\n             varying vec3 TexCoords;\\n             uniform samplerCube sbtexture;\\n             uniform vec3 camPos;\\n             void main () {\\n               // skybox looks from inside out\\n               // which means we have to adjust\\n               // our tcoords. Otherwise text would\\n               // be flipped\\n               vec3 tc = normalize(TexCoords - camPos);\\n               if (abs(tc.z) &lt; max(abs(tc.x),abs(tc.y)))\\n               {\\n                 tc = vec3(1.0, 1.0, -1.0) * tc;\\n               }\\n               else\\n               {\\n                 tc = vec3(-1.0, 1.0, 1.0) * tc;\\n               }\\n               gl_FragData[0] = textureCube(sbtexture, tc);\\n             }&quot;,&quot;&quot;)),&quot;background&quot;===t.lastFormat&amp;&amp;t.tris.setProgram(t._openGLRenderWindow.getShaderCache().readyShaderProgramArray(&quot;//VTK::System::Dec\\n             attribute vec3 vertexMC;\\n             uniform mat4 IMCPCMatrix;\\n             varying vec2 TexCoords;\\n             void main () {\\n              gl_Position = vec4(vertexMC.xyz, 1.0);\\n              vec4 wpos = IMCPCMatrix * gl_Position;\\n              TexCoords = vec2(vertexMC.x, vertexMC.y)*0.5 + 0.5;\\n             }&quot;,&quot;//VTK::System::Dec\\n             //VTK::Output::Dec\\n             varying vec2 TexCoords;\\n             uniform sampler2D sbtexture;\\n             void main () {\\n               gl_FragData[0] = texture2D(sbtexture, TexCoords);\\n             }&quot;,&quot;&quot;)),t.tris.getShaderSourceTime().modified(),t.tris.getVAO().bind(),t.tris.getVAO().addAttributeArray(t.tris.getProgram(),t.tris.getCABO(),&quot;vertexMC&quot;,t.tris.getCABO().getVertexOffset(),t.tris.getCABO().getStride(),t.context.FLOAT,3,t.context.FALSE)||Mp(&quot;Error setting vertexMC in shader VAO.&quot;));const e=t.renderable.getTextures();e.length||Mp(&quot;vtkSkybox requires a texture map&quot;),t.openGLTexture.getRenderable()!==e[0]&amp;&amp;(t.openGLTexture.releaseGraphicsResources(t._openGLRenderWindow),t.openGLTexture.setRenderable(e[0]))}}(e,t)}));vn(&quot;vtkSkybox&quot;,Ep);const{FieldAssociations:Vp}=Qs;const Lp={fieldAssociation:Vp.FIELD_ASSOCIATION_CELLS,captureZValues:!1};function Bp(e,t,n={}){Object.assign(t,Lp,n),sn.obj(e,t),sn.setGet(e,t,[&quot;fieldAssociation&quot;,&quot;captureZValues&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkHardwareSelector&quot;),e.getSourceDataAsync=async(e,t,n,r,o)=&gt;{},e.selectAsync=async(t,n,r,o,a)=&gt;{const i=await e.getSourceDataAsync(t,n,r,o,a);return i?i.generateSelection(n,r,o,a):[]}}(e,t)}var Fp={newInstance:sn.newInstance(Bp,&quot;vtkHardwareSelector&quot;),extend:Bp};const Np={glFramebuffer:null,colorBuffers:null,depthTexture:null,previousDrawBinding:0,previousReadBinding:0,previousDrawBuffer:0,previousReadBuffer:0,previousActiveFramebuffer:null};function kp(e,t,n={}){Object.assign(t,Np,n),Vt(e,t),t.colorBuffers&amp;&amp;Tt(&quot;you cannot initialize colorBuffers through the constructor. You should call setColorBuffer() instead.&quot;),t.colorBuffers=[],Ut(e,t,[&quot;colorBuffers&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkFramebuffer&quot;),e.getBothMode=()=&gt;t.context.FRAMEBUFFER,e.saveCurrentBindingsAndBuffers=t=&gt;{const n=void 0!==t?t:e.getBothMode();e.saveCurrentBindings(n),e.saveCurrentBuffers(n)},e.saveCurrentBindings=e=&gt;{if(!t.context)return void Tt(&quot;you must set the OpenGLRenderWindow before calling saveCurrentBindings&quot;);const n=t.context;t.previousDrawBinding=n.getParameter(t.context.FRAMEBUFFER_BINDING),t.previousActiveFramebuffer=t._openGLRenderWindow.getActiveFramebuffer()},e.saveCurrentBuffers=e=&gt;{},e.restorePreviousBindingsAndBuffers=t=&gt;{const n=void 0!==t?t:e.getBothMode();e.restorePreviousBindings(n),e.restorePreviousBuffers(n)},e.restorePreviousBindings=e=&gt;{if(!t.context)return void Tt(&quot;you must set the OpenGLRenderWindow before calling restorePreviousBindings&quot;);const n=t.context;n.bindFramebuffer(n.FRAMEBUFFER,t.previousDrawBinding),t._openGLRenderWindow.setActiveFramebuffer(t.previousActiveFramebuffer)},e.restorePreviousBuffers=e=&gt;{},e.bind=(n=null)=&gt;{let r=n;null===r&amp;&amp;(r=t.context.FRAMEBUFFER),t.context.bindFramebuffer(r,t.glFramebuffer);for(let e=0;e&lt;t.colorBuffers.length;e++)t.colorBuffers[e].bind();t._openGLRenderWindow.setActiveFramebuffer(e)},e.create=(e,n)=&gt;{t.context?(t.glFramebuffer=t.context.createFramebuffer(),t.glFramebuffer.width=e,t.glFramebuffer.height=n):Tt(&quot;you must set the OpenGLRenderWindow before calling create&quot;)},e.setColorBuffer=(e,n=0)=&gt;{const r=t.context;if(!r)return void Tt(&quot;you must set the OpenGLRenderWindow before calling setColorBuffer&quot;);let o=r.COLOR_ATTACHMENT0;if(n&gt;0){if(!t._openGLRenderWindow.getWebgl2())return void Tt(&quot;Using multiple framebuffer attachments requires WebGL 2&quot;);o+=n}t.colorBuffers[n]=e,r.framebufferTexture2D(r.FRAMEBUFFER,o,r.TEXTURE_2D,e.getHandle(),0)},e.removeColorBuffer=(e=0)=&gt;{const n=t.context;if(!n)return void Tt(&quot;you must set the OpenGLRenderWindow before calling removeColorBuffer&quot;);let r=n.COLOR_ATTACHMENT0;if(e&gt;0){if(!t._openGLRenderWindow.getWebgl2())return void Tt(&quot;Using multiple framebuffer attachments requires WebGL 2&quot;);r+=e}n.framebufferTexture2D(n.FRAMEBUFFER,r,n.TEXTURE_2D,null,0),t.colorBuffers=t.colorBuffers.splice(e,1)},e.setDepthBuffer=e=&gt;{if(t.context)if(t._openGLRenderWindow.getWebgl2()){const n=t.context;n.framebufferTexture2D(n.FRAMEBUFFER,n.DEPTH_ATTACHMENT,n.TEXTURE_2D,e.getHandle(),0)}else Tt(&quot;Attaching depth buffer textures to fbo requires WebGL 2&quot;);else Tt(&quot;you must set the OpenGLRenderWindow before calling setDepthBuffer&quot;)},e.removeDepthBuffer=()=&gt;{if(t.context)if(t._openGLRenderWindow.getWebgl2()){const e=t.context;e.framebufferTexture2D(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.TEXTURE_2D,null,0)}else Tt(&quot;Attaching depth buffer textures to framebuffers requires WebGL 2&quot;);else Tt(&quot;you must set the OpenGLRenderWindow before calling removeDepthBuffer&quot;)},e.getGLFramebuffer=()=&gt;t.glFramebuffer,e.setOpenGLRenderWindow=n=&gt;{t._openGLRenderWindow!==n&amp;&amp;(e.releaseGraphicsResources(),t._openGLRenderWindow=n,t.context=null,n&amp;&amp;(t.context=t._openGLRenderWindow.getContext()))},e.releaseGraphicsResources=()=&gt;{t.glFramebuffer&amp;&amp;t.context.deleteFramebuffer(t.glFramebuffer)},e.getSize=()=&gt;null==t.glFramebuffer?null:[t.glFramebuffer.width,t.glFramebuffer.height],e.populateFramebuffer=()=&gt;{if(!t.context)return void Tt(&quot;you must set the OpenGLRenderWindow before calling populateFrameBuffer&quot;);e.bind();const n=t.context,r=Hd.newInstance();r.setOpenGLRenderWindow(t._openGLRenderWindow),r.setMinificationFilter(wd.LINEAR),r.setMagnificationFilter(wd.LINEAR),r.create2DFromRaw({width:t.glFramebuffer.width,height:t.glFramebuffer.height,numComps:4,dataType:ms.UNSIGNED_CHAR,data:null}),e.setColorBuffer(r),t.depthTexture=n.createRenderbuffer(),n.bindRenderbuffer(n.RENDERBUFFER,t.depthTexture),n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t.glFramebuffer.width,t.glFramebuffer.height),n.framebufferRenderbuffer(n.FRAMEBUFFER,n.DEPTH_ATTACHMENT,n.RENDERBUFFER,t.depthTexture)},e.getColorTexture=()=&gt;t.colorBuffers[0]}(e,t)}var Gp={newInstance:Xt(kp,&quot;vtkFramebuffer&quot;),extend:kp};var Up={SelectionContent:{GLOBALIDS:0,PEDIGREEIDS:1,VALUES:2,INDICES:3,FRUSTUM:4,LOCATIONS:5,THRESHOLDS:6,BLOCKS:7,QUERY:8},SelectionField:{CELL:0,POINT:1,FIELD:2,VERTEX:3,EDGE:4,ROW:5}};const _p={contentType:-1,fieldType:-1,properties:null,selectionList:[]};function Kp(e,t,n={}){Object.assign(t,_p,n),sn.obj(e,t),t.properties={},sn.setGet(e,t,[&quot;contentType&quot;,&quot;fieldType&quot;,&quot;properties&quot;,&quot;selectionList&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkSelectionNode&quot;),e.getBounds=()=&gt;t.points.getBounds()}(e,t)}var zp={newInstance:sn.newInstance(Kp,&quot;vtkSelectionNode&quot;),extend:Kp,...Up};const{PassTypes:Wp}=Fl,{SelectionContent:Hp,SelectionField:jp}=zp,{FieldAssociations:Xp}=Qs,{vtkErrorMacro:qp,vtkDebugMacro:Yp}=sn;function Jp(e){return`${e.propID} ${e.compositeID}`}function Zp(e,t,n,r){if(!n)return 0;return n[4*(t*(r[2]-r[0]+1)+e)+3]}function Qp(e,t,n,r,o=null){if(!n)return 0;const a=4*(t*(r[2]-r[0]+1)+e),i=n[a],s=n[a+1];return 256*(256*n[a+2]+s)+i}function $p(e,t){let n=t;return n&lt;&lt;=24,n|=e,n}function ef(e,t,n,r){const o=n&lt;0?0:n;if(0===o){if(r[0]=t[0],r[1]=t[1],t[0]&lt;e.area[0]||t[0]&gt;e.area[2]||t[1]&lt;e.area[1]||t[1]&gt;e.area[3])return null;const n=[t[0]-e.area[0],t[1]-e.area[1]],o=Qp(n[0],n[1],e.pixBuffer[Wp.ACTOR_PASS],e.area,&quot;getPixelInformationWithData1&quot;);if(o&lt;=0||o-1&gt;=e.props.length)return null;const a={valid:!0};a.propID=o-1,a.prop=e.props[a.propID];let i=Qp(n[0],n[1],e.pixBuffer[Wp.COMPOSITE_INDEX_PASS],e.area,&quot;getPixelInformationWithData2&quot;);if((i&lt;0||i&gt;16777215)&amp;&amp;(i=0),a.compositeID=i-1,e.captureZValues){const r=4*(n[1]*(e.area[2]-e.area[0]+1)+n[0]);a.zValue=(256*e.zBuffer[r]+e.zBuffer[r+1])/65535,a.displayPosition=t}if(e.pixBuffer[Wp.ID_LOW24]&amp;&amp;0===Zp(n[0],n[1],e.pixBuffer[Wp.ID_LOW24],e.area))return a;const s=Qp(n[0],n[1],e.pixBuffer[Wp.ID_LOW24],e.area,&quot;getPixelInformationWithData3&quot;),l=Qp(n[0],n[1],e.pixBuffer[Wp.ID_HIGH24],e.area,&quot;getPixelInformationWithData4&quot;);return a.attributeID=$p(s,l),a}const a=[t[0],t[1]],i=[0,0];let s=ef(e,t,0,r);if(s&amp;&amp;s.valid)return s;for(let t=1;t&lt;o;++t){for(let n=a[1]&gt;t?a[1]-t:0;n&lt;=a[1]+t;++n){if(i[1]=n,a[0]&gt;=t&amp;&amp;(i[0]=a[0]-t,s=ef(e,i,0,r),s&amp;&amp;s.valid))return s;if(i[0]=a[0]+t,s=ef(e,i,0,r),s&amp;&amp;s.valid)return s}for(let n=a[0]&gt;=t?a[0]-(t-1):0;n&lt;=a[0]+(t-1);++n){if(i[0]=n,a[1]&gt;=t&amp;&amp;(i[1]=a[1]-t,s=ef(e,i,0,r),s&amp;&amp;s.valid))return s;if(i[1]=a[1]+t,s=ef(e,i,0,r),s&amp;&amp;s.valid)return s}}return r[0]=t[0],r[1]=t[1],null}function tf(e,t,n,r,o){const a=[];let i=0;return t.forEach(((t,s)=&gt;{const l=zp.newInstance();switch(l.setContentType(Hp.INDICES),e){case Xp.FIELD_ASSOCIATION_CELLS:l.setFieldType(jp.CELL);break;case Xp.FIELD_ASSOCIATION_POINTS:l.setFieldType(jp.POINT);break;default:qp(&quot;Unknown field association&quot;)}l.getProperties().propID=t.info.propID,l.getProperties().prop=t.info.prop,l.getProperties().compositeID=t.info.compositeID,l.getProperties().attributeID=t.info.attributeID,l.getProperties().pixelCount=t.pixelCount,n&amp;&amp;(l.getProperties().displayPosition=[t.info.displayPosition[0],t.info.displayPosition[1],t.info.zValue],l.getProperties().worldPosition=o.displayToWorld(t.info.displayPosition[0],t.info.displayPosition[1],t.info.zValue,r)),l.setSelectionList(t.attributeIDs),a[i]=l,i++})),a}function nf(e,t){t.classHierarchy.push(&quot;vtkOpenGLHardwareSelector&quot;),e.releasePixBuffers=()=&gt;{t.rawPixBuffer=[],t.pixBuffer=[],t.zBuffer=null},e.beginSelection=()=&gt;{t._openGLRenderer=t._openGLRenderWindow.getViewNodeFor(t._renderer,t._openGLRenderer),t.maxAttributeId=0;const n=t._openGLRenderWindow.getSize();if(t.framebuffer){t.framebuffer.setOpenGLRenderWindow(t._openGLRenderWindow),t.framebuffer.saveCurrentBindingsAndBuffers();const e=t.framebuffer.getSize();e&amp;&amp;e[0]===n[0]&amp;&amp;e[1]===n[1]?t.framebuffer.bind():(t.framebuffer.create(n[0],n[1]),t.framebuffer.populateFramebuffer())}else t.framebuffer=Gp.newInstance(),t.framebuffer.setOpenGLRenderWindow(t._openGLRenderWindow),t.framebuffer.saveCurrentBindingsAndBuffers(),t.framebuffer.create(n[0],n[1]),t.framebuffer.populateFramebuffer();if(t._openGLRenderer.clear(),t._openGLRenderer.setSelector(e),t.hitProps={},t.propPixels={},t.props=[],e.releasePixBuffers(),t.fieldAssociation===Xp.FIELD_ASSOCIATION_POINTS){const e=t._openGLRenderWindow.getContext(),n=e.isEnabled(e.BLEND);e.disable(e.BLEND),t._openGLRenderWindow.traverseAllPasses(),n&amp;&amp;e.enable(e.BLEND)}},e.endSelection=()=&gt;{t.hitProps={},t._openGLRenderer.setSelector(null),t.framebuffer.restorePreviousBindingsAndBuffers()},e.preCapturePass=()=&gt;{const e=t._openGLRenderWindow.getContext();t.originalBlending=e.isEnabled(e.BLEND),e.disable(e.BLEND)},e.postCapturePass=()=&gt;{const e=t._openGLRenderWindow.getContext();t.originalBlending&amp;&amp;e.enable(e.BLEND)},e.select=()=&gt;{let n=null;return e.captureBuffers()&amp;&amp;(n=e.generateSelection(t.area[0],t.area[1],t.area[2],t.area[3]),e.releasePixBuffers()),n},e.getSourceDataAsync=async(n,r,o,a,i)=&gt;{if(t._renderer=n,void 0===r){const n=t._openGLRenderWindow.getSize();e.setArea(0,0,n[0]-1,n[1]-1)}else e.setArea(r,o,a,i);if(!e.captureBuffers())return!1;const s={area:[...t.area],pixBuffer:[...t.pixBuffer],captureZValues:t.captureZValues,zBuffer:t.zBuffer,props:[...t.props],fieldAssociation:t.fieldAssociation,renderer:n,openGLRenderWindow:t._openGLRenderWindow};return s.generateSelection=(...e)=&gt;function(e,t,n,r,o){const a=Math.floor(t),i=Math.floor(n),s=Math.floor(r),l=Math.floor(o),c=new Map,u=[0,0];for(let t=i;t&lt;=l;t++)for(let n=a;n&lt;=s;n++){const r=ef(e,[n,t],0,u);if(r&amp;&amp;r.valid){const t=Jp(r);if(c.has(t)){const n=c.get(t);n.pixelCount++,e.captureZValues&amp;&amp;r.zValue&lt;n.info.zValue&amp;&amp;(n.info=r),-1===n.attributeIDs.indexOf(r.attributeID)&amp;&amp;n.attributeIDs.push(r.attributeID)}else c.set(t,{info:r,pixelCount:1,attributeIDs:[r.attributeID]})}}return tf(e.fieldAssociation,c,e.captureZValues,e.renderer,e.openGLRenderWindow)}(s,...e),s},e.captureBuffers=()=&gt;{if(!t._renderer||!t._openGLRenderWindow)return qp(&quot;Renderer and view must be set before calling Select.&quot;),!1;t._openGLRenderer=t._openGLRenderWindow.getViewNodeFor(t._renderer,t._openGLRenderer),t._openGLRenderWindow.getRenderable().preRender(),e.invokeEvent({type:&quot;StartEvent&quot;}),t.originalBackground=t._renderer.getBackgroundByReference(),t._renderer.setBackground(0,0,0,0);const n=t._openGLRenderWindow.getRenderPasses();e.beginSelection();const r=[];for(t.currentPass=Wp.MIN_KNOWN_PASS;t.currentPass&lt;=Wp.MAX_KNOWN_PASS;t.currentPass++)e.passRequired(t.currentPass)&amp;&amp;(e.preCapturePass(t.currentPass),t.captureZValues&amp;&amp;t.currentPass===Wp.ACTOR_PASS&amp;&amp;&quot;function&quot;==typeof n[0].requestDepth&amp;&amp;&quot;function&quot;==typeof n[0].getFramebuffer?(n[0].requestDepth(),t._openGLRenderWindow.traverseAllPasses()):t._openGLRenderWindow.traverseAllPasses(),e.postCapturePass(t.currentPass),e.savePixelBuffer(t.currentPass),r.push(t.currentPass));return r.forEach((n=&gt;{t.currentPass=n,e.processPixelBuffers()})),t.currentPass=Wp.MAX_KNOWN_PASS,e.endSelection(),t._renderer.setBackground(t.originalBackground),e.invokeEvent({type:&quot;EndEvent&quot;}),!0},e.processPixelBuffers=()=&gt;{t.props.forEach(((n,r)=&gt;{e.isPropHit(r)&amp;&amp;n.processSelectorPixelBuffers(e,t.propPixels[r])}))},e.passRequired=e=&gt;{if(e===Wp.ID_HIGH24){if(t.fieldAssociation===Xp.FIELD_ASSOCIATION_POINTS)return t.maximumPointId&gt;16777215;if(t.fieldAssociation===Xp.FIELD_ASSOCIATION_CELLS)return t.maximumCellId&gt;16777215}return!0},e.savePixelBuffer=n=&gt;{if(t.pixBuffer[n]=t._openGLRenderWindow.getPixelData(t.area[0],t.area[1],t.area[2],t.area[3]),!t.rawPixBuffer[n]){const e=(t.area[2]-t.area[0]+1)*(t.area[3]-t.area[1]+1)*4;t.rawPixBuffer[n]=new Uint8Array(e),t.rawPixBuffer[n].set(t.pixBuffer[n])}if(n===Wp.ACTOR_PASS){if(t.captureZValues){const e=t._openGLRenderWindow.getRenderPasses();if(&quot;function&quot;==typeof e[0].requestDepth&amp;&amp;&quot;function&quot;==typeof e[0].getFramebuffer){const n=e[0].getFramebuffer();n.saveCurrentBindingsAndBuffers(),n.bind(),t.zBuffer=t._openGLRenderWindow.getPixelData(t.area[0],t.area[1],t.area[2],t.area[3]),n.restorePreviousBindingsAndBuffers()}}e.buildPropHitList(t.rawPixBuffer[n])}},e.buildPropHitList=e=&gt;{let n=0;for(let r=0;r&lt;=t.area[3]-t.area[1];r++)for(let o=0;o&lt;=t.area[2]-t.area[0];o++){let a=Qp(o,r,e,t.area,&quot;buildPropHitList&quot;);a&gt;0&amp;&amp;(a--,a in t.hitProps||(t.hitProps[a]=!0,t.propPixels[a]=[]),t.propPixels[a].push(4*n)),++n}},e.renderProp=n=&gt;{t.currentPass===Wp.ACTOR_PASS&amp;&amp;(e.setPropColorValueFromInt(t.props.length+1),t.props.push(n))},e.renderCompositeIndex=n=&gt;{t.currentPass===Wp.COMPOSITE_INDEX_PASS&amp;&amp;e.setPropColorValueFromInt(n+1)},e.renderAttributeId=e=&gt;{e&lt;0||(t.maxAttributeId=e&gt;t.maxAttributeId?e:t.maxAttributeId)},e.passTypeToString=e=&gt;sn.enumToString(Wp,e),e.isPropHit=e=&gt;Boolean(t.hitProps[e]),e.setPropColorValueFromInt=e=&gt;{t.propColorValue[0]=e%256/255,t.propColorValue[1]=Math.floor(e/256)%256/255,t.propColorValue[2]=Math.floor(e/65536)%256/255},e.getPixelInformation=(n,r,o)=&gt;{const a=r&lt;0?0:r;if(Yp(&quot;getPixelInformation called&quot;,a),0===a){if(o[0]=n[0],o[1]=n[1],n[0]&lt;t.area[0]||n[0]&gt;t.area[2]||n[1]&lt;t.area[1]||n[1]&gt;t.area[3])return null;Yp(n),Yp(t.area);const e=[n[0]-t.area[0],n[1]-t.area[1]];Yp(&quot;adjusted displayPosition&quot;,e);const r=Qp(e[0],e[1],t.pixBuffer[Wp.ACTOR_PASS],t.area,&quot;getPixelInformation&quot;);if(Yp(&quot;actorid&quot;,r),r&lt;=0||r-1&gt;=t.props.length)return null;const a={valid:!0};a.propID=r-1,a.prop=t.props[a.propID];let i=Qp(e[0],e[1],t.pixBuffer[Wp.COMPOSITE_INDEX_PASS],t.area,&quot;getPixelInformation2&quot;);if((i&lt;0||i&gt;16777215)&amp;&amp;(i=0),a.compositeID=i-1,t.captureZValues){const r=4*(e[1]*(t.area[2]-t.area[0]+1)+e[0]);a.zValue=(256*t.zBuffer[r]+t.zBuffer[r+1])/65535,a.displayPosition=n}if(t.pixBuffer[Wp.ID_LOW24]&amp;&amp;0===Zp(e[0],e[1],t.pixBuffer[Wp.ID_LOW24],t.area))return a;const s=Qp(e[0],e[1],t.pixBuffer[Wp.ID_LOW24],t.area,&quot;getPixelInformation3&quot;),l=Qp(e[0],e[1],t.pixBuffer[Wp.ID_HIGH24],t.area,&quot;getPixelInformation4&quot;);return a.attributeID=$p(s,l),a}const i=[n[0],n[1]],s=[0,0];let l=e.getPixelInformation(n,0,o);if(l&amp;&amp;l.valid)return l;for(let t=1;t&lt;a;++t){for(let n=i[1]&gt;t?i[1]-t:0;n&lt;=i[1]+t;++n){if(s[1]=n,i[0]&gt;=t&amp;&amp;(s[0]=i[0]-t,l=e.getPixelInformation(s,0,o),l&amp;&amp;l.valid))return l;if(s[0]=i[0]+t,l=e.getPixelInformation(s,0,o),l&amp;&amp;l.valid)return l}for(let n=i[0]&gt;=t?i[0]-(t-1):0;n&lt;=i[0]+(t-1);++n){if(s[0]=n,i[1]&gt;=t&amp;&amp;(s[1]=i[1]-t,l=e.getPixelInformation(s,0,o),l&amp;&amp;l.valid))return l;if(s[1]=i[1]+t,l=e.getPixelInformation(s,0,o),l&amp;&amp;l.valid)return l}}return o[0]=n[0],o[1]=n[1],null},e.generateSelection=(n,r,o,a)=&gt;{const i=Math.floor(n),s=Math.floor(r),l=Math.floor(o),c=Math.floor(a),u=new Map,d=[0,0];for(let n=s;n&lt;=c;n++)for(let r=i;r&lt;=l;r++){const o=[r,n],a=e.getPixelInformation(o,0,d);if(a&amp;&amp;a.valid){const e=Jp(a);if(u.has(e)){const n=u.get(e);n.pixelCount++,t.captureZValues&amp;&amp;a.zValue&lt;n.info.zValue&amp;&amp;(n.info=a),-1===n.attributeIDs.indexOf(a.attributeID)&amp;&amp;n.attributeIDs.push(a.attributeID)}else u.set(e,{info:a,pixelCount:1,attributeIDs:[a.attributeID]})}}return tf(t.fieldAssociation,u,t.captureZValues,t._renderer,t._openGLRenderWindow)},e.getRawPixelBuffer=e=&gt;t.rawPixBuffer[e],e.getPixelBuffer=e=&gt;t.pixBuffer[e],e.attach=(e,n)=&gt;{t._openGLRenderWindow=e,t._renderer=n};const n=e.setArea;e.setArea=(...e)=&gt;!!n(...e)&amp;&amp;(t.area[0]=Math.floor(t.area[0]),t.area[1]=Math.floor(t.area[1]),t.area[2]=Math.floor(t.area[2]),t.area[3]=Math.floor(t.area[3]),!0)}const rf={area:void 0,currentPass:-1,propColorValue:null,props:null,maximumPointId:0,maximumCellId:0,idOffset:1};function of(e,t,n={}){Object.assign(t,rf,n),Fp.extend(e,t,n),t.propColorValue=[0,0,0],t.props=[],t.area||(t.area=[0,0,0,0]),sn.setGetArray(e,t,[&quot;area&quot;],4),sn.setGet(e,t,[&quot;_renderer&quot;,&quot;currentPass&quot;,&quot;_openGLRenderWindow&quot;,&quot;maximumPointId&quot;,&quot;maximumCellId&quot;]),sn.setGetArray(e,t,[&quot;propColorValue&quot;],3),sn.moveToProtected(e,t,[&quot;renderer&quot;,&quot;openGLRenderWindow&quot;]),sn.event(e,t,&quot;event&quot;),nf(e,t)}var af={newInstance:sn.newInstance(of,&quot;vtkOpenGLHardwareSelector&quot;),extend:of,...Fl};const{vtkErrorMacro:sf}=ln,{Representation:lf}=us,{ObjectType:cf}=nd,{PassTypes:uf}=af,df={type:&quot;StartEvent&quot;},pf={type:&quot;EndEvent&quot;};const ff={normalMatrix:null,mcpcMatrix:null,mcwcMatrix:null};const gf=Xt((function(e,t,n={}){Object.assign(t,ff,n),up.extend(e,t,n),t.tmpMat3=c(new Float64Array(9)),t.normalMatrix=c(new Float64Array(9)),t.mcpcMatrix=x(new Float64Array(16)),t.mcvcMatrix=x(new Float64Array(16)),t.tmpColor=[],t.glyphBOBuildTime={},Vt(t.glyphBOBuildTime,{mtime:0}),function(e,t){t.classHierarchy.push(&quot;vtkOpenGLGlyph3DMapper&quot;);const n={...e};e.renderPiece=(n,r)=&gt;{if(e.invokeEvent(df),t.renderable.getStatic()||t.renderable.update(),t.currentInput=t.renderable.getInputData(1),e.invokeEvent(pf),!t.currentInput)return void sf(&quot;No input!&quot;);if(!t.currentInput.getPoints||!t.currentInput.getPoints().getNumberOfValues())return;const o=t.context;t._openGLRenderWindow.getWebgl2()?(t.hardwareSupport=!0,t.extension=null):t.extension||(t.extension=t.context.getExtension(&quot;ANGLE_instanced_arrays&quot;),t.hardwareSupport=!!t.extension);const a=r.getProperty().getBackfaceCulling(),i=r.getProperty().getFrontfaceCulling();a||i?i?(t._openGLRenderWindow.enableCullFace(),o.cullFace(o.FRONT)):(t._openGLRenderWindow.enableCullFace(),o.cullFace(o.BACK)):t._openGLRenderWindow.disableCullFace(),e.renderPieceStart(n,r),e.renderPieceDraw(n,r),e.renderPieceFinish(n,r)},e.multiply4x4WithOffset=(e,t,n,r)=&gt;{const o=t[0],a=t[1],i=t[2],s=t[3],l=t[4],c=t[5],u=t[6],d=t[7],p=t[8],f=t[9],g=t[10],m=t[11],h=t[12],v=t[13],T=t[14],x=t[15];let y=n[r],b=n[r+1],A=n[r+2],C=n[r+3];e[0]=y*o+b*l+A*p+C*h,e[1]=y*a+b*c+A*f+C*v,e[2]=y*i+b*u+A*g+C*T,e[3]=y*s+b*d+A*m+C*x,y=n[r+4],b=n[r+5],A=n[r+6],C=n[r+7],e[4]=y*o+b*l+A*p+C*h,e[5]=y*a+b*c+A*f+C*v,e[6]=y*i+b*u+A*g+C*T,e[7]=y*s+b*d+A*m+C*x,y=n[r+8],b=n[r+9],A=n[r+10],C=n[r+11],e[8]=y*o+b*l+A*p+C*h,e[9]=y*a+b*c+A*f+C*v,e[10]=y*i+b*u+A*g+C*T,e[11]=y*s+b*d+A*m+C*x,y=n[r+12],b=n[r+13],A=n[r+14],C=n[r+15],e[12]=y*o+b*l+A*p+C*h,e[13]=y*a+b*c+A*f+C*v,e[14]=y*i+b*u+A*g+C*T,e[15]=y*s+b*d+A*m+C*x},e.replaceShaderNormal=(e,r,o)=&gt;{if(t.hardwareSupport&amp;&amp;t.lastBoundBO.getReferenceByName(&quot;lastLightComplexity&quot;)&gt;0){let n=e.Vertex;t.lastBoundBO.getCABO().getNormalOffset()&amp;&amp;(n=vd.substitute(n,&quot;//VTK::Normal::Dec&quot;,[&quot;attribute vec3 normalMC;&quot;,&quot;attribute mat3 gNormal;&quot;,&quot;uniform mat3 normalMatrix;&quot;,&quot;varying vec3 normalVCVSOutput;&quot;]).result,n=vd.substitute(n,&quot;//VTK::Normal::Impl&quot;,[&quot;normalVCVSOutput = normalMatrix * gNormal * normalMC;&quot;]).result),e.Vertex=n}n.replaceShaderNormal(e,r,o)},e.replaceShaderClip=(e,r,o)=&gt;{if(t.hardwareSupport){let n=e.Vertex,r=e.Fragment;if(t.renderable.getNumberOfClippingPlanes()){const e=t.renderable.getNumberOfClippingPlanes();n=vd.substitute(n,&quot;//VTK::Clip::Dec&quot;,[&quot;uniform int numClipPlanes;&quot;,`uniform vec4 clipPlanes[${e}];`,`varying float clipDistancesVSOutput[${e}];`]).result,n=vd.substitute(n,&quot;//VTK::Clip::Impl&quot;,[`for (int planeNum = 0; planeNum &lt; ${e}; planeNum++)`,&quot;    {&quot;,&quot;    if (planeNum &gt;= numClipPlanes)&quot;,&quot;        {&quot;,&quot;        break;&quot;,&quot;        }&quot;,&quot;    vec4 gVertex = gMatrix * vertexMC;&quot;,&quot;    clipDistancesVSOutput[planeNum] = dot(clipPlanes[planeNum], gVertex);&quot;,&quot;    }&quot;]).result,r=vd.substitute(r,&quot;//VTK::Clip::Dec&quot;,[&quot;uniform int numClipPlanes;&quot;,`varying float clipDistancesVSOutput[${e}];`]).result,r=vd.substitute(r,&quot;//VTK::Clip::Impl&quot;,[`for (int planeNum = 0; planeNum &lt; ${e}; planeNum++)`,&quot;    {&quot;,&quot;    if (planeNum &gt;= numClipPlanes)&quot;,&quot;        {&quot;,&quot;        break;&quot;,&quot;        }&quot;,&quot;    if (clipDistancesVSOutput[planeNum] &lt; 0.0) discard;&quot;,&quot;    }&quot;]).result}e.Vertex=n,e.Fragment=r}n.replaceShaderClip(e,r,o)},e.replaceShaderColor=(e,r,o)=&gt;{if(t.hardwareSupport&amp;&amp;t.renderable.getColorArray()){let n=e.Vertex,r=e.Geometry,o=e.Fragment;const a=t.lastBoundBO.getReferenceByName(&quot;lastLightComplexity&quot;);let i=[&quot;uniform float ambient;&quot;,&quot;uniform float diffuse;&quot;,&quot;uniform float specular;&quot;,&quot;uniform float opacityUniform; // the fragment opacity&quot;];a&amp;&amp;(i=i.concat([&quot;uniform vec3 specularColorUniform;&quot;,&quot;uniform float specularPowerUniform;&quot;]));let s=[&quot;vec3 ambientColor;&quot;,&quot;  vec3 diffuseColor;&quot;,&quot;  float opacity;&quot;];a&amp;&amp;(s=s.concat([&quot;  vec3 specularColor;&quot;,&quot;  float specularPower;&quot;])),s=s.concat([&quot;  opacity = opacityUniform;&quot;]),a&amp;&amp;(s=s.concat([&quot;  specularColor = specularColorUniform;&quot;,&quot;  specularPower = specularPowerUniform;&quot;])),t.drawingEdges||(i=i.concat([&quot;varying vec4 vertexColorVSOutput;&quot;]),n=vd.substitute(n,&quot;//VTK::Color::Dec&quot;,[&quot;attribute vec4 gColor;&quot;,&quot;varying vec4 vertexColorVSOutput;&quot;]).result,n=vd.substitute(n,&quot;//VTK::Color::Impl&quot;,[&quot;vertexColorVSOutput = gColor;&quot;]).result,r=vd.substitute(r,&quot;//VTK::Color::Dec&quot;,[&quot;in vec4 vertexColorVSOutput[];&quot;,&quot;out vec4 vertexColorGSOutput;&quot;]).result,r=vd.substitute(r,&quot;//VTK::Color::Impl&quot;,[&quot;vertexColorGSOutput = vertexColorVSOutput[i];&quot;]).result,s=s.concat([&quot;  diffuseColor = vertexColorVSOutput.rgb;&quot;,&quot;  ambientColor = vertexColorVSOutput.rgb;&quot;,&quot;  opacity = opacity*vertexColorVSOutput.a;&quot;])),o=vd.substitute(o,&quot;//VTK::Color::Impl&quot;,s).result,o=vd.substitute(o,&quot;//VTK::Color::Dec&quot;,i).result,e.Vertex=n,e.Geometry=r,e.Fragment=o}n.replaceShaderColor(e,r,o)},e.replaceShaderPositionVC=(e,r,o)=&gt;{if(t.hardwareSupport){let n=e.Vertex;t.lastBoundBO.getReferenceByName(&quot;lastLightComplexity&quot;)&gt;0?(n=vd.substitute(n,&quot;//VTK::PositionVC::Impl&quot;,[&quot;vec4 gVertexMC = gMatrix * vertexMC;&quot;,&quot;vertexVCVSOutput = MCVCMatrix * gVertexMC;&quot;,&quot;  gl_Position = MCPCMatrix * gVertexMC;&quot;]).result,n=vd.substitute(n,&quot;//VTK::Camera::Dec&quot;,[&quot;attribute mat4 gMatrix;&quot;,&quot;uniform mat4 MCPCMatrix;&quot;,&quot;uniform mat4 MCVCMatrix;&quot;]).result):(n=vd.substitute(n,&quot;//VTK::Camera::Dec&quot;,[&quot;attribute mat4 gMatrix;&quot;,&quot;uniform mat4 MCPCMatrix;&quot;]).result,n=vd.substitute(n,&quot;//VTK::PositionVC::Impl&quot;,[&quot;vec4 gVertexMC = gMatrix * vertexMC;&quot;,&quot;  gl_Position = MCPCMatrix * gVertexMC;&quot;]).result),e.Vertex=n}n.replaceShaderPositionVC(e,r,o)},e.replaceShaderPicking=(e,r,o)=&gt;{if(t.hardwareSupport){let t=e.Fragment,n=e.Vertex;n=vd.substitute(n,&quot;//VTK::Picking::Dec&quot;,[&quot;attribute vec3 mapperIndexVS;&quot;,&quot;varying vec3 mapperIndexVSOutput;&quot;]).result,n=vd.substitute(n,&quot;//VTK::Picking::Impl&quot;,&quot;  mapperIndexVSOutput = mapperIndexVS;&quot;).result,e.Vertex=n,t=vd.substitute(t,&quot;//VTK::Picking::Dec&quot;,[&quot;varying vec3 mapperIndexVSOutput;&quot;,&quot;uniform vec3 mapperIndex;&quot;,&quot;uniform int picking;&quot;]).result,t=vd.substitute(t,&quot;//VTK::Picking::Impl&quot;,[&quot;  vec4 pickColor = picking == 2 ? vec4(mapperIndexVSOutput,1.0) : vec4(mapperIndex,1.0);&quot;,&quot;  gl_FragData[0] = picking != 0 ? pickColor : gl_FragData[0];&quot;]).result,e.Fragment=t}else n.replaceShaderPicking(e,r,o)},e.updateGlyphShaderParameters=(n,r,o,a,i,s,l,c)=&gt;{const u=o.getProgram();if(n){const e=t.normalMatrix,n=s,r=9*l,o=t.tmpMat3,a=e[0],i=e[1],c=e[2],d=e[3],p=e[4],f=e[5],g=e[6],m=e[7],h=e[8],v=n[r],T=n[r+1],x=n[r+2],y=n[r+3],b=n[r+4],A=n[r+5],C=n[r+6],S=n[r+7],P=n[r+8];o[0]=v*a+T*d+x*g,o[1]=v*i+T*p+x*m,o[2]=v*c+T*f+x*h,o[3]=y*a+b*d+A*g,o[4]=y*i+b*p+A*m,o[5]=y*c+b*f+A*h,o[6]=C*a+S*d+P*g,o[7]=C*i+S*p+P*m,o[8]=C*c+S*f+P*h,u.setUniformMatrix3x3(&quot;normalMatrix&quot;,t.tmpMat3)}if(e.multiply4x4WithOffset(t.tmpMat4,t.mcpcMatrix,i,16*l),u.setUniformMatrix(&quot;MCPCMatrix&quot;,t.tmpMat4),r&amp;&amp;(e.multiply4x4WithOffset(t.tmpMat4,t.mcvcMatrix,i,16*l),u.setUniformMatrix(&quot;MCVCMatrix&quot;,t.tmpMat4)),a){const e=a.getData();t.tmpColor[0]=e[4*l]/255,t.tmpColor[1]=e[4*l+1]/255,t.tmpColor[2]=e[4*l+2]/255,u.setUniform3fArray(&quot;ambientColorUniform&quot;,t.tmpColor),u.setUniform3fArray(&quot;diffuseColorUniform&quot;,t.tmpColor)}c&amp;&amp;u.setUniform3fArray(&quot;mapperIndex&quot;,c.getPropColorValue())},e.renderPieceDraw=(n,r)=&gt;{const o=r.getProperty().getRepresentation(),a=t.context,i=r.getProperty().getEdgeVisibility()&amp;&amp;o===lf.SURFACE,s=t.openGLCamera.getKeyMatrices(n),l=t.openGLActor.getKeyMatrices();p(t.normalMatrix,s.normalMatrix,l.normalMatrix),A(t.mcpcMatrix,s.wcpc,l.mcwc),A(t.mcvcMatrix,s.wcvc,l.mcwc);const c=t.renderable.getMatrixArray(),u=t.renderable.getNormalArray(),d=t.renderable.getColorArray(),f=c.length/16;let g=!1;t._openGLRenderer.getSelector()&amp;&amp;t._openGLRenderer.getSelector().getCurrentPass()===uf.COMPOSITE_INDEX_PASS&amp;&amp;(g=!0);for(let s=t.primTypes.Start;s&lt;t.primTypes.End;s++){const l=t.primitives[s].getCABO();if(l.getElementCount()){t.drawingEdges=i&amp;&amp;(s===t.primTypes.TrisEdges||s===t.primTypes.TriStripsEdges),t.lastBoundBO=t.primitives[s],t.primitives[s].updateShaders(n,r,e);const p=t.primitives[s].getProgram(),m=t.primitives[s].getOpenGLMode(o),h=p.isUniformUsed(&quot;normalMatrix&quot;),v=p.isUniformUsed(&quot;MCVCMatrix&quot;);if(t.hardwareSupport)t.extension?t.extension.drawArraysInstancedANGLE(m,0,l.getElementCount(),f):a.drawArraysInstanced(m,0,l.getElementCount(),f);else for(let n=0;n&lt;f;++n)g&amp;&amp;t._openGLRenderer.getSelector().renderCompositeIndex(n),e.updateGlyphShaderParameters(h,v,t.primitives[s],d,c,u,n,g?t._openGLRenderer.getSelector():null),a.drawArrays(m,0,l.getElementCount())}}},e.setMapperShaderParameters=(e,r,o)=&gt;{if(e.getCABO().getElementCount()&amp;&amp;(t.glyphBOBuildTime.getMTime()&gt;e.getAttributeUpdateTime().getMTime()||e.getShaderSourceTime().getMTime()&gt;e.getAttributeUpdateTime().getMTime()))return e.getProgram().isAttributeUsed(&quot;gMatrix&quot;)?e.getVAO().addAttributeMatrixWithDivisor(e.getProgram(),t.matrixBuffer,&quot;gMatrix&quot;,0,64,t.context.FLOAT,4,!1,1)||sf(&quot;Error setting gMatrix in shader VAO.&quot;):e.getVAO().removeAttributeArray(&quot;gMatrix&quot;),e.getProgram().isAttributeUsed(&quot;gNormal&quot;)?e.getVAO().addAttributeMatrixWithDivisor(e.getProgram(),t.normalBuffer,&quot;gNormal&quot;,0,36,t.context.FLOAT,3,!1,1)||sf(&quot;Error setting gNormal in shader VAO.&quot;):e.getVAO().removeAttributeArray(&quot;gNormal&quot;),e.getProgram().isAttributeUsed(&quot;gColor&quot;)?e.getVAO().addAttributeArrayWithDivisor(e.getProgram(),t.colorBuffer,&quot;gColor&quot;,0,4,t.context.UNSIGNED_BYTE,4,!0,1,!1)||sf(&quot;Error setting gColor in shader VAO.&quot;):e.getVAO().removeAttributeArray(&quot;gColor&quot;),e.getProgram().isAttributeUsed(&quot;mapperIndexVS&quot;)?e.getVAO().addAttributeArrayWithDivisor(e.getProgram(),t.pickBuffer,&quot;mapperIndexVS&quot;,0,4,t.context.UNSIGNED_BYTE,4,!0,1,!1)||sf(&quot;Error setting mapperIndexVS in shader VAO.&quot;):e.getVAO().removeAttributeArray(&quot;mapperIndexVS&quot;),n.setMapperShaderParameters(e,r,o),void e.getAttributeUpdateTime().modified();n.setMapperShaderParameters(e,r,o)},e.getNeedToRebuildBufferObjects=(e,r)=&gt;(t.renderable.buildArrays(),t.VBOBuildTime.getMTime()&lt;t.renderable.getBuildTime().getMTime()||n.getNeedToRebuildBufferObjects(e,r)),e.getNeedToRebuildShaders=(e,r,o)=&gt;!!(n.getNeedToRebuildShaders(e,r,o)||e.getShaderSourceTime().getMTime()&lt;t.renderable.getMTime()||e.getShaderSourceTime().getMTime()&lt;t.currentInput.getMTime()),e.buildBufferObjects=(e,r)=&gt;{const o=t.renderable.getMatrixArray(),a=t.renderable.getInputData(0).getPoints(),{useShiftAndScale:i,coordShift:s,coordScale:l}=rd(a);if(t.hardwareSupport){const e=t.renderable.getNormalArray(),n=t.renderable.getColorArray();if(t.matrixBuffer||(t.matrixBuffer=nd.newInstance(),t.matrixBuffer.setOpenGLRenderWindow(t._openGLRenderWindow),t.normalBuffer=nd.newInstance(),t.normalBuffer.setOpenGLRenderWindow(t._openGLRenderWindow),t.colorBuffer=nd.newInstance(),t.colorBuffer.setOpenGLRenderWindow(t._openGLRenderWindow),t.pickBuffer=nd.newInstance(),t.pickBuffer.setOpenGLRenderWindow(t._openGLRenderWindow)),i){const e=o.buffer,t=od(s,l);b(t,t);for(let n=0;n&lt;o.byteLength;n+=64){const r=new Float32Array(e,n,16);A(r,t,r)}}if(t.renderable.getBuildTime().getMTime()&gt;t.glyphBOBuildTime.getMTime()){t.matrixBuffer.upload(o,cf.ARRAY_BUFFER),t.normalBuffer.upload(e,cf.ARRAY_BUFFER),n?t.colorBuffer.upload(n.getData(),cf.ARRAY_BUFFER):t.colorBuffer.releaseGraphicsResources();const r=o.length/16,a=new Uint8Array(4*r);for(let e=0;e&lt;r;++e){let t=e+1;const n=4*e;a[n]=t%256,t-=a[n],t/=256,a[n+1]=t%256,t-=a[n+1],t/=256,a[n+2]=t%256,a[n+3]=255}t.pickBuffer.upload(a,cf.ARRAY_BUFFER),t.glyphBOBuildTime.modified()}}if(n.buildBufferObjects(e,r),i)for(let e=bd.Start;e&lt;bd.End;e++)t.primitives[e].getCABO().setCoordShiftAndScale(s,l)}}(e,t)}),&quot;vtkOpenGLGlyph3DMapper&quot;);vn(&quot;vtkGlyph3DMapper&quot;,gf);const{vtkErrorMacro:mf}=sn;class hf{constructor(){this.segmentMapping={},this.segments=[null],this.faces=[]}addSegment(e){const t=e[0],n=e[e.length-1];if(t===n||e.length&lt;2)return;const r=this.segmentMapping[t],o=this.segmentMapping[n];if(void 0!==r&amp;&amp;void 0!==o)if(Math.abs(r)===Math.abs(o)){const a=r&lt;o?o:r,i=this.segments[a];if(r&gt;0)for(let t=1;t&lt;e.length-1;t++)i.push(e[t]);else for(let t=1;t&lt;e.length-1;t++)i.unshift(e[e.length-1-t]);this.faces.push(i),this.segments[a]=null,this.segmentMapping[t]=void 0,this.segmentMapping[n]=void 0}else{const t=Math.abs(r),n=Math.abs(o),a=this.segments[t],i=this.segments[n];this.segments[t]=null,this.segments[n]=null,this.segmentMapping[a[0]]=void 0,this.segmentMapping[i[0]]=void 0,this.segmentMapping[a[a.length-1]]=void 0,this.segmentMapping[i[i.length-1]]=void 0,this.addSegment(e),this.addSegment(a),this.addSegment(i)}else if(void 0!==r){if(r&gt;0){const t=this.segments[r];for(let n=1;n&lt;e.length;n++)t.push(e[n]);this.segmentMapping[n]=r}else{const t=this.segments[-r];this.segmentMapping[n]=r;for(let n=1;n&lt;e.length;n++)t.unshift(e[n])}this.segmentMapping[t]=void 0}else if(void 0!==o){if(o&gt;0){const n=this.segments[o];for(let t=1;t&lt;e.length;t++)n.push(e[e.length-1-t]);this.segmentMapping[t]=o}else{const n=this.segments[-o];this.segmentMapping[t]=o;for(let t=1;t&lt;e.length;t++)n.unshift(e[e.length-t-1])}this.segmentMapping[n]=void 0}else{const r=this.segments.length;this.segments.push(e),this.segmentMapping[t]=-r,this.segmentMapping[n]=r}}}const vf={};function Tf(e,t,n={}){Object.assign(t,vf,n),sn.obj(e,t),sn.algo(e,t,1,1),function(e,t){t.classHierarchy.push(&quot;vtkClosedPolyLineToSurfaceFilter&quot;),e.requestData=(e,t)=&gt;{const n=e[0];if(!n)return void mf(&quot;Invalid or missing input&quot;);const r=t[0]?.initialize()||Ru.newInstance();r.shallowCopy(n);const o=new hf,a=n.getLines().getData();let i=0;for(;i&lt;a.length;){const e=a[i++],t=[];for(let n=0;n&lt;e;n++)t.push(a[i+n]);o.addSegment(t),i+=e}const{faces:s}=o;let l=s.length;for(let e=0;e&lt;s.length;e++)l+=s[e].length;const c=new Uint16Array(l);i=0;for(let e=0;e&lt;s.length;e++){const t=s[e];c[i++]=t.length;for(let e=0;e&lt;t.length;e++)c[i++]=t[e]}r.setPolys(oc.newInstance({values:c,name:&quot;faces&quot;})),t[0]=r}}(e,t)}var xf={newInstance:sn.newInstance(Tf,&quot;vtkClosedPolyLineToSurfaceFilter&quot;),extend:Tf};const{vtkErrorMacro:yf}=ln;function bf(e,t){t.classHierarchy.push(&quot;vtkCutter&quot;);const n={...e};function r(e,n){const r=e.getPoints(),o=r.getData(),a=e.getPointData(),i=r.getNumberOfPoints(),s=[],l=[],c=[],u={},d=a.getNumberOfArrays();for(let e=0;e&lt;d;e++)u[a.getArrayName(e)]=[];(!t.cutScalars||t.cutScalars.length&lt;i)&amp;&amp;(t.cutScalars=new Float32Array(i));let p=0,f=0;for(;p&lt;o.length;)t.cutScalars[f++]=t.cutFunction.evaluateFunction(o[p++],o[p++],o[p++]);const g=[],m=new Array(3),h=new Array(3),v=[];for(const n=function(e){const t=e.getPolys().getData(),n=e.getStrips().getData(),r={cellSize:0,cell:[],done:!1,polyIdx:0,stripIdx:0,remainingStripLength:0,next(){if(r.polyIdx&lt;t.length){r.cellSize=t[r.polyIdx];const e=r.polyIdx+1,n=e+r.cellSize;r.polyIdx=n;let o=0;for(let a=e;a&lt;n;++a)r.cell[o++]=t[a]}else if(r.stripIdx&lt;n.length){r.cellSize=3,0===r.remainingStripLength&amp;&amp;(r.remainingStripLength=n[r.stripIdx]-2,r.stripIdx+=3);const e=r.stripIdx-2,t=r.stripIdx+1;r.stripIdx++,r.remainingStripLength--;let o=0;for(let a=e;a&lt;t;++a)r.cell[o++]=n[a]}else{if(r.done)throw new Error(&quot;Iterator is done&quot;);r.done=!0}}};return r.next(),r}(e);!n.done;n.next()){if(n.cellSize&lt;=2)continue;for(let e=0;e&lt;n.cellSize;)v[e]=t.cutScalars[n.cell[e++]];const e=v[0]&gt;0;let r=!0;for(let t=1;t&lt;n.cell.length;t++){if(v[t]&gt;0!==e){r=!1;break}}if(r)continue;const i=[];for(let e=0;e&lt;n.cellSize;e++){const r=e+1===n.cellSize?0:e+1,s=v[e]&gt;0;if(v[r]&gt;0===s)continue;let l=e,c=r,u=v[c]-v[l];u&lt;=0&amp;&amp;(l=r,c=e,u*=-1);let p=0;0!==u&amp;&amp;(p=(t.cutValue-v[l])/u);const f=n.cell[l],g=n.cell[c];m[0]=o[3*f],m[1]=o[3*f+1],m[2]=o[3*f+2],h[0]=o[3*g],h[1]=o[3*g+1],h[2]=o[3*g+2];const T=[m[0]+p*(h[0]-m[0]),m[1]+p*(h[1]-m[1]),m[2]+p*(h[2]-m[2])],x={};for(let e=0;e&lt;d;e++){const t=a.getArrayByIndex(e),n=a.getArrayName(e),r=t.getData(),o=t.getNumberOfComponents(),i=new Array(o);for(let e=0;e&lt;o;e++){const t=r[o*f+e],n=r[o*g+e];i.push(t+p*(n-t))}x[n]=i}i.push({pointEdge1:f,pointEdge2:g,intersectedPoint:T,intersectedArrays:x,newPointID:-1})}for(let e=0;e&lt;i.length;e++){const t=i[e];let n=!1;for(let r=0;r&lt;g.length;r++){const o=g[r],a=t.pointEdge1===o.pointEdge1&amp;&amp;t.pointEdge2===o.pointEdge2,s=t.intersectedPoint[0]===o.intersectedPoint[0]&amp;&amp;t.intersectedPoint[1]===o.intersectedPoint[1]&amp;&amp;t.intersectedPoint[2]===o.intersectedPoint[2];if(a||s){n=!0,i[e].newPointID=g[r].newPointID;break}}n||(s.push(t.intersectedPoint[0]),s.push(t.intersectedPoint[1]),s.push(t.intersectedPoint[2]),Object.keys(t.intersectedArrays).forEach((e=&gt;{u[e].push(...t.intersectedArrays[e])})),i[e].newPointID=s.length/3-1,g.push(i[e]))}const p=i.length;2===p?l.push(p,i[0].newPointID,i[1].newPointID):p&gt;2&amp;&amp;(c.push(p),i.forEach((e=&gt;{c.push(e.newPointID)})))}n.getPoints().setData(St(r.getDataType(),s),3);const T=n.getPointData();for(let e=0;e&lt;d;e++){const t=a.getArrayName(e),n=Is.newInstance({name:t,dataType:a.getArrayByIndex(e).getDataType(),values:u[t],numberOfComponents:a.getArrayByIndex(e).getNumberOfComponents()});T.addArray(n)}0!==l.length&amp;&amp;n.getLines().setData(Uint16Array.from(l)),0!==c.length&amp;&amp;n.getPolys().setData(Uint16Array.from(c))}e.getMTime=()=&gt;{let e=n.getMTime();return t.cutFunction?(e=Math.max(e,t.cutFunction.getMTime()),e):e},e.requestData=(e,n)=&gt;{const o=e[0];if(!o)return void yf(&quot;Invalid or missing input&quot;);if(!t.cutFunction)return void yf(&quot;Missing cut function&quot;);const a=n[0]?.initialize()||Ru.newInstance();r(o,a),n[0]=a}}const Af={cutFunction:null,cutScalars:null,cutValue:0};function Cf(e,t,n={}){Object.assign(t,Af,n),Vt(e,t),Wt(e,t,1,1),Gt(e,t,[&quot;cutFunction&quot;,&quot;cutValue&quot;]),bf(e,t)}var Sf={newInstance:Xt(Cf,&quot;vtkCutter&quot;),extend:Cf};const Pf=e=&gt;e,wf=1e-6;class If{constructor(e=!1){this.matrix=x(new Float64Array(16)),this.tmp=new Float64Array(3),this.angleConv=e?a:Pf}rotateFromDirections(e,t){const n=new Float64Array(3),r=new Float64Array(3),o=new Float64Array(16);Y(n,e[0],e[1],e[2]),Y(r,t[0],t[1],t[2]),te(n,n),te(r,r);const a=ne(n,r);return a&gt;=1||(re(this.tmp,n,r),X(this.tmp)&lt;wf&amp;&amp;(re(this.tmp,[1,0,0],e),X(this.tmp)&lt;wf&amp;&amp;re(this.tmp,[0,1,0],e)),D(o,Math.acos(a),this.tmp),A(this.matrix,this.matrix,o)),this}rotate(e,t){return Y(this.tmp,...t),te(this.tmp,this.tmp),P(this.matrix,this.matrix,this.angleConv(e),this.tmp),this}rotateX(e){return w(this.matrix,this.matrix,this.angleConv(e)),this}rotateY(e){return I(this.matrix,this.matrix,this.angleConv(e)),this}rotateZ(e){return O(this.matrix,this.matrix,this.angleConv(e)),this}translate(e,t,n){return Y(this.tmp,e,t,n),C(this.matrix,this.matrix,this.tmp),this}scale(e,t,n){return Y(this.tmp,e,t,n),S(this.matrix,this.matrix,this.tmp),this}multiply(e){return A(this.matrix,this.matrix,e),this}multiply3x3(e){return A(this.matrix,this.matrix,[e[0],e[1],e[2],0,e[3],e[4],e[5],0,e[6],e[7],e[8],0,0,0,0,1]),this}invert(){return b(this.matrix,this.matrix),this}identity(){return x(this.matrix),this}apply(e,t=0,n=-1){if(oa(ho,this.matrix))return this;const r=-1===n?e.length:t+3*n;for(let n=t;n&lt;r;n+=3)Y(this.tmp,e[n],e[n+1],e[n+2]),oe(this.tmp,this.tmp,this.matrix),e[n]=this.tmp[0],e[n+1]=this.tmp[1],e[n+2]=this.tmp[2];return this}getMatrix(){return this.matrix}setMatrix(e){return e&amp;&amp;16===e.length&amp;&amp;T(this.matrix,e),this}}var Of={buildFromDegree:function(){return new If(!0)},buildFromRadian:function(){return new If(!1)}};const Rf=[2,0,1,2,2,3,2,4,5,2,6,7,2,0,2,2,1,3,2,4,6,2,5,7,2,0,4,2,1,5,2,2,6,2,3,7],Mf=[4,0,1,3,2,4,4,6,7,5,4,8,10,11,9,4,12,13,15,14,4,16,18,19,17,4,20,21,23,22];const Df={xLength:1,yLength:1,zLength:1,pointType:&quot;Float64Array&quot;,generate3DTextureCoordinates:!1,generateFaces:!0,generateLines:!1};function Ef(e,t,n={}){Object.assign(t,Df,n),sn.obj(e,t),sn.setGet(e,t,[&quot;xLength&quot;,&quot;yLength&quot;,&quot;zLength&quot;,&quot;generate3DTextureCoordinates&quot;,&quot;generateFaces&quot;,&quot;generateLines&quot;]),sn.setGetArray(e,t,[&quot;center&quot;,&quot;rotations&quot;],3),sn.setGetArray(e,t,[&quot;matrix&quot;],16),t._polys=oc.newInstance({values:Uint16Array.from(Mf)}),t._lineCells=oc.newInstance({values:Uint16Array.from(Rf)}),sn.moveToProtected(e,t,[&quot;polys&quot;,&quot;lineCells&quot;]),sn.algo(e,t,0,1),function(e,t){t.classHierarchy.push(&quot;vtkCubeSource&quot;),e.requestData=(e,n)=&gt;{const r=n[0]?.initialize()||Ru.newInstance();n[0]=r;const o=sn.newTypedArray(t.pointType,72);r.getPoints().setData(o,3);const a=sn.newTypedArray(t.pointType,72),i=Is.newInstance({name:&quot;Normals&quot;,values:a,numberOfComponents:3});r.getPointData().setNormals(i);let s=2;!0===t.generate3DTextureCoordinates&amp;&amp;(s=3);const l=sn.newTypedArray(t.pointType,24*s),c=Is.newInstance({name:&quot;TextureCoordinates&quot;,values:l,numberOfComponents:s});r.getPointData().setTCoords(c);const u=[0,0,0],d=[0,0,0],p=[0,0];let f=0;u[0]=-t.xLength/2,d[0]=-1,d[1]=0,d[2]=0;for(let e=0;e&lt;2;e++){u[1]=-t.yLength/2;for(let n=0;n&lt;2;n++){p[1]=u[1]+.5,u[2]=-t.zLength/2;for(let r=0;r&lt;2;r++)p[0]=(u[2]+.5)*(1-2*e),o[3*f]=u[0],o[3*f+1]=u[1],o[3*f+2]=u[2],a[3*f]=d[0],a[3*f+1]=d[1],a[3*f+2]=d[2],2===s?(l[f*s]=p[0],l[f*s+1]=p[1]):(l[f*s]=2*e-1,l[f*s+1]=2*n-1,l[f*s+2]=2*r-1),f++,u[2]+=t.zLength;u[1]+=t.yLength}u[0]+=t.xLength,d[0]+=2}u[1]=-t.yLength/2,d[1]=-1,d[0]=0,d[2]=0;for(let e=0;e&lt;2;e++){u[0]=-t.xLength/2;for(let n=0;n&lt;2;n++){p[0]=(u[0]+.5)*(2*e-1),u[2]=-t.zLength/2;for(let r=0;r&lt;2;r++)p[1]=-1*(u[2]+.5),o[3*f]=u[0],o[3*f+1]=u[1],o[3*f+2]=u[2],a[3*f]=d[0],a[3*f+1]=d[1],a[3*f+2]=d[2],2===s?(l[f*s]=p[0],l[f*s+1]=p[1]):(l[f*s]=2*n-1,l[f*s+1]=2*e-1,l[f*s+2]=2*r-1),f++,u[2]+=t.zLength;u[0]+=t.xLength}u[1]+=t.yLength,d[1]+=2}u[2]=-t.zLength/2,d[2]=-1,d[0]=0,d[1]=0;for(let e=0;e&lt;2;e++){u[1]=-t.yLength/2;for(let n=0;n&lt;2;n++){p[1]=u[1]+.5,u[0]=-t.xLength/2;for(let r=0;r&lt;2;r++)p[0]=(u[0]+.5)*(2*e-1),o[3*f]=u[0],o[3*f+1]=u[1],o[3*f+2]=u[2],a[3*f]=d[0],a[3*f+1]=d[1],a[3*f+2]=d[2],2===s?(l[f*s]=p[0],l[f*s+1]=p[1]):(l[f*s]=2*r-1,l[f*s+1]=2*n-1,l[f*s+2]=2*e-1),f++,u[0]+=t.xLength;u[1]+=t.yLength}u[2]+=t.zLength,d[2]+=2}if(t.rotations&amp;&amp;Of.buildFromDegree().rotateX(t.rotations[0]).rotateY(t.rotations[1]).rotateZ(t.rotations[2]).apply(o).apply(a),t.center&amp;&amp;Of.buildFromRadian().translate(...t.center).apply(o),t.matrix){Of.buildFromRadian().setMatrix(t.matrix).apply(o);const e=[t.matrix[0],t.matrix[1],t.matrix[2],0,t.matrix[4],t.matrix[5],t.matrix[6],0,t.matrix[8],t.matrix[9],t.matrix[10],0,0,0,0,1];Of.buildFromRadian().setMatrix(e).apply(a)}t.generateFaces?r.getPolys().deepCopy(t._polys):r.getPolys().initialize(),t.generateLines?(r.getLines().deepCopy(t._lineCells),r.getPointData().setNormals(null)):r.getLines().initialize(),r.modified()},e.setBounds=(...t)=&gt;{let n=[];if(Array.isArray(t[0]))n=t[0];else for(let e=0;e&lt;t.length;e++)n.push(t[e]);6===n.length&amp;&amp;(e.setXLength(n[1]-n[0]),e.setYLength(n[3]-n[2]),e.setZLength(n[5]-n[4]),e.setCenter([(n[0]+n[1])/2,(n[2]+n[3])/2,(n[4]+n[5])/2]))}}(e,t)}var Vf={newInstance:sn.newInstance(Ef,&quot;vtkCubeSource&quot;),extend:Ef};const{vtkErrorMacro:Lf}=sn;const Bf={};function Ff(e,t,n={}){Object.assign(t,Bf,n),sn.obj(e,t),sn.algo(e,t,1,1),t._cubeSource=Vf.newInstance(),sn.moveToProtected(e,t,[&quot;cubeSource&quot;,&quot;tmpOut&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkImageDataOutlineFilter&quot;);const n={...e};e.requestData=(e,n)=&gt;{const r=e[0];if(!r||!r.isA(&quot;vtkImageData&quot;))return void Lf(&quot;Invalid or missing input&quot;);const o=r.getSpatialExtent();o?(t._cubeSource.setBounds(o),t._cubeSource.setMatrix(r.getIndexToWorld()),n[0]=t._cubeSource.getOutputData()):Lf(&quot;Unable to fetch spatial extents of input image.&quot;)},e.getMTime=()=&gt;Math.max(n.getMTime(),t._cubeSource.getMTime()),e.setGenerateFaces=t._cubeSource.setGenerateFaces,e.setGenerateLines=t._cubeSource.setGenerateLines,e.getGenerateFaces=t._cubeSource.getGenerateFaces,e.getGenerateLines=t._cubeSource.getGenerateLines}(e,t)}var Nf={newInstance:sn.newInstance(Ff,&quot;vtkImageDataOutlineFilter&quot;),extend:Ff};const{vtkWarningMacro:kf}=sn;let Gf;const Uf={preMultiplyFlag:!1,matrix:[...ho]};function _f(e,t,n={}){Object.assign(t,Uf,n),sn.obj(e,t),sn.setGet(e,t,[&quot;preMultiplyFlag&quot;]),sn.setGetArray(e,t,[&quot;matrix&quot;],16),function(e,t){t.classHierarchy.push(&quot;vtkAbstractTransform&quot;,&quot;vtkHomogeneousTransform&quot;,&quot;vtkTransform&quot;),e.transformPoint=(e,n)=&gt;(oe(n,e,t.matrix),n),e.transformPoints=(e,n)=&gt;{const r=new Float64Array(3),o=new Float64Array(3);for(let a=0;a&lt;e.length;a+=3)r[0]=e[a],r[1]=e[a+1],r[2]=e[a+2],oe(o,r,t.matrix),n[a]=o[0],n[a+1]=o[1],n[a+2]=o[2];return n},e.preMultiply=()=&gt;{e.setPreMultiplyFlag(!0)},e.postMultiply=()=&gt;{e.setPreMultiplyFlag(!1)},e.transformMatrix=(e,n)=&gt;(t.preMultiplyFlag?A(n,t.matrix,e):A(n,e,t.matrix),n),e.transformMatrices=(e,n)=&gt;{const r=new Float64Array(16),o=new Float64Array(16),a=t.preMultiplyFlag?()=&gt;A(o,t.matrix,r):()=&gt;A(o,r,t.matrix);for(let t=0;t&lt;e.length;t+=16){for(let n=0;n&lt;16;++n)r[n]=e[t+n];a();for(let e=0;e&lt;16;++e)n[t+e]=o[e]}return n},e.getInverse=()=&gt;Gf({matrix:za.invertMatrix(Array.from(t.matrix),[],4),preMultiplyFlag:t.preMultiplyFlag}),e.translate=(n,r,o)=&gt;{if(0===n&amp;&amp;0===r&amp;&amp;0===o)return;const a=v();R(a,[n,r,o]),t.preMultiplyFlag?A(t.matrix,t.matrix,a):A(t.matrix,a,t.matrix),e.modified()},e.rotateWXYZ=(n,r,o,a)=&gt;{if(0===r&amp;&amp;0===o&amp;&amp;0===a)return void kf(&quot;No rotation applied, axis is zero vector.&quot;);if(0===n)return;const i=za.radiansFromDegrees(n),s=pe();fe(s,[r,o,a],i);const l=new Float64Array(16);F(l,s),t.preMultiplyFlag?A(t.matrix,t.matrix,l):A(t.matrix,l,t.matrix),e.modified()},e.rotateX=t=&gt;{e.rotateWXYZ(t,1,0,0)},e.rotateY=t=&gt;{e.rotateWXYZ(t,0,1,0)},e.rotateZ=t=&gt;{e.rotateWXYZ(t,0,0,1)},e.scale=(n,r,o)=&gt;{if(1===n&amp;&amp;1===r&amp;&amp;1===o)return;const a=v();M(a,[n,r,o]),t.preMultiplyFlag?A(t.matrix,t.matrix,a):A(t.matrix,a,t.matrix),e.modified()},e.transformNormal=(n,r=[])=&gt;{const o=s(i(),t.matrix),a=i();d(a,o);const l=i();return u(l,a),e.transformVector(n,r,l),za.normalize(r),r},e.transformNormals=(n,r)=&gt;{const o=n.getData(),a=r.getData(),l=[0,0,0],c=s(i(),t.matrix),p=i();d(p,c);const f=i();u(f,p);for(let t=0;t&lt;o.length;t+=3)l[0]=o[t],l[1]=o[t+1],l[2]=o[t+2],e.transformVector(l,l,f),za.normalize(l),a[t]=l[0],a[t+1]=l[1],a[t+2]=l[2]},e.transformVector=(e,n=[],r=null)=&gt;(ae(n,e,r||s(i(),t.matrix)),n),e.transformVectors=(t,n)=&gt;{const r=t.getData(),o=n.getData(),a=[0,0,0];for(let t=0;t&lt;r.length;t+=3)a[0]=r[t],a[1]=r[t+1],a[2]=r[t+2],e.transformVector(a,a),za.normalize(a),o[t]=a[0],o[t+1]=a[1],o[t+2]=a[2]},e.transformPointsNormalsVectors=(t,n,r,o,a,i,s=null,l=null)=&gt;{const c=t.getNumberOfPoints(),u=s?.length??0,d=new Float64Array(3),p=new Float64Array(3),f=new Float64Array(3),g=new Float64Array(3);let m=!1,h=!1,v=!1;const T=[];for(let x=0;x&lt;c;x++){if(t.getPoint(x,d),p.set(d),e.transformPoint(d,d),n.setPoint(x,...d),za.areEquals(p,d)||(m=!0),a){const t=a.getData(),n=i.getData();d[0]=t[3*x],d[1]=t[3*x+1],d[2]=t[3*x+2],f.set(d),e.transformVector(d,d),n[3*x]=d[0],n[3*x+1]=d[1],n[3*x+2]=d[2],za.areEquals(f,d)||(h=!0)}if(r){const t=r.getData(),n=o.getData();d[0]=t[3*x],d[1]=t[3*x+1],d[2]=t[3*x+2],g.set(d),e.transformNormal(d,d),n[3*x]=d[0],n[3*x+1]=d[1],n[3*x+2]=d[2],za.areEquals(g,d)||(v=!0)}if(s)for(let t=0;t&lt;u;t++){const n=s[t].getData(),r=l[t].getData();d[0]=n[3*x],d[1]=n[3*x+1],d[2]=n[3*x+2],f.set(d),e.transformVector(d,d),r[3*x]=d[0],r[3*x+1]=d[1],r[3*x+2]=d[2],za.arrayEqual(f,d)||T.includes(t)||T.push(t)}}m&amp;&amp;n.modified(),h&amp;&amp;i.modified(),v&amp;&amp;o.modified(),T.forEach((e=&gt;l[e].modified()))}}(e,t)}Gf=sn.newInstance(_f,&quot;vtkTransform&quot;);var Kf={newInstance:Gf,extend:_f};function zf(e,t,n){return e.length&gt;0?`${e.map((e=&gt;e?.getMTime()??&quot;x&quot;)).join(&quot;/&quot;)}-${t}-${n}`:&quot;0&quot;}function Wf(e,t){return`${t.getMTime()}`}const Hf={NEAREST:0,LINEAR:1};var jf={InterpolationType:Hf};const{vtkErrorMacro:Xf}=ln,qf=e=&gt;e.split(&quot;\\n&quot;).map((e=&gt;e.trim())).filter(Boolean);function Yf(e,t,n){return t.identity(n),e.reduce(((e,n,r)=&gt;0===r?n?t.copy(e,n):t.identity(e):n?t.multiply(e,e,n):e),n)}function Jf(e,t){t.classHierarchy.push(&quot;vtkOpenGLImageResliceMapper&quot;);const n=new Map;function r(t,r,o){r!==o&amp;&amp;(function(t,r){if(!r)return;const o=(n.get(r)??0)-1;o&lt;=0?(t.unregisterGraphicsResourceUser(r,e),n.delete(r)):n.set(r,o)}(t,r),function(t,r){if(!r)return;const o=n.get(r)??0,a=o+1;n.set(r,a),o&lt;=0&amp;&amp;t.registerGraphicsResourceUser(r,e)}(t,o))}function o(t){[...n.keys()].forEach((n=&gt;t.unregisterGraphicsResourceUser(n,e)))}function a(e,n,r,o,a){const i=e.map((e=&gt;e.join(&quot;-&quot;))).join(&quot;|&quot;);i!==t[o]&amp;&amp;(t[o]=i,t[a]&amp;&amp;t[a].releaseGraphicsResources(),t[a]=function(e,n,r){let o=t.renderable.getLabelOutlineTextureWidth();o&lt;=0&amp;&amp;(o=t.context.getParameter(t.context.MAX_TEXTURE_SIZE));const a=e.length,i=new n(o*a);for(let t=0;t&lt;a;t++){const n=e[t];for(let e=0;e&lt;o;e++)i[t*o+e]=n[e]??n[0]}const s=Hd.newInstance({resizable:!1});return s.setOpenGLRenderWindow(t._openGLRenderWindow),s.resetFormatAndType(),s.setMinificationFilter(wd.NEAREST),s.setMagnificationFilter(wd.NEAREST),s.create2DFromRaw({width:o,height:a,numComps:1,dataType:r,data:i}),s}(e,n,r))}e.buildPass=n=&gt;{if(n){t.currentRenderPass=null,t._openGLImageSlice=e.getFirstAncestorOfType(&quot;vtkOpenGLImageSlice&quot;),t._openGLRenderer=e.getFirstAncestorOfType(&quot;vtkOpenGLRenderer&quot;);const n=t._openGLRenderer.getRenderable();t._openGLCamera=t._openGLRenderer.getViewNodeFor(n.getActiveCamera(),t.openGLCamera);const r=t._openGLRenderWindow;t._openGLRenderWindow=t._openGLRenderer.getLastAncestorOfType(&quot;vtkOpenGLRenderWindow&quot;),r&amp;&amp;!r.isDeleted()&amp;&amp;r!==t._openGLRenderWindow&amp;&amp;o(r),t.context=t._openGLRenderWindow.getContext(),t.tris.setOpenGLRenderWindow(t._openGLRenderWindow)}},e.translucentPass=(n,r)=&gt;{n&amp;&amp;(t.currentRenderPass=r,e.render())},e.zBufferPass=n=&gt;{n&amp;&amp;(t.haveSeenDepthRequest=!0,t.renderDepth=!0,e.render(),t.renderDepth=!1)},e.opaqueZBufferPass=t=&gt;e.zBufferPass(t),e.opaquePass=t=&gt;{t&amp;&amp;e.render()},e.getCoincidentParameters=(e,n)=&gt;t.renderable.getResolveCoincidentTopology()==Pl.PolygonOffset?t.renderable.getCoincidentTopologyPolygonOffsetParameters():null,e.render=()=&gt;{const n=t._openGLImageSlice.getRenderable(),r=t._openGLRenderer.getRenderable();e.renderPiece(r,n)},e.renderPiece=(n,r)=&gt;{e.invokeEvent({type:&quot;StartEvent&quot;}),t.renderable.update();const o=t.renderable.getNumberOfInputPorts();t.currentValidInputs=[];for(let e=0;e&lt;o;++e){const n=t.renderable.getInputData(e);n&amp;&amp;!n.isDeleted()&amp;&amp;t.currentValidInputs.push({imageData:n,inputIndex:e})}const a=t.currentValidInputs.length;if(a&lt;=0)return void Xf(&quot;No input!&quot;);t.labelOutlineProperties=function(e,t){const n=[];for(let r=0;r&lt;t.length;r++){const o=e.getProperty(t[r].inputIndex);o?.getUseLabelOutline()&amp;&amp;n.push({property:o,arrayIndex:r})}return n}(r,t.currentValidInputs);const i=t.currentValidInputs[0].imageData.getPointData().getScalars();t.multiTexturePerVolumeEnabled=a&gt;1,t.numberOfComponents=t.multiTexturePerVolumeEnabled?a:i.getNumberOfComponents(),e.updateResliceGeometry(),e.renderPieceStart(n,r),e.renderPieceDraw(n,r),e.renderPieceFinish(n,r),e.invokeEvent({type:&quot;EndEvent&quot;})},e.renderPieceStart=(n,r)=&gt;{e.updateBufferObjects(n,r);const o=r.getProperties();t.currentValidInputs.forEach((({inputIndex:e},n)=&gt;{const r=o[e],a=t.scalarTextures[n];if(!r||!a)return;r.getInterpolationType()===Hf.NEAREST?(a.setMinificationFilter(wd.NEAREST),a.setMagnificationFilter(wd.NEAREST)):(a.setMinificationFilter(wd.LINEAR),a.setMagnificationFilter(wd.LINEAR))}));const a=t.currentValidInputs[0],i=o[a.inputIndex],s=i?.getInterpolationType();s===Hf.NEAREST?(t.colorTexture.setMinificationFilter(wd.NEAREST),t.colorTexture.setMagnificationFilter(wd.NEAREST),t.pwfTexture.setMinificationFilter(wd.NEAREST),t.pwfTexture.setMagnificationFilter(wd.NEAREST)):(t.colorTexture.setMinificationFilter(wd.LINEAR),t.colorTexture.setMagnificationFilter(wd.LINEAR),t.pwfTexture.setMinificationFilter(wd.LINEAR),t.pwfTexture.setMagnificationFilter(wd.LINEAR)),t.lastBoundBO=null},e.renderPieceDraw=(n,r)=&gt;{const o=t.context,a=t.labelOutlineProperties.length&gt;0,i=[...t.scalarTextures,t.colorTexture,t.pwfTexture];a&amp;&amp;(i.push(t.labelOutlineThicknessTexture),i.push(t.labelOutlineOpacityTexture)),i.forEach((e=&gt;e.activate())),e.updateShaders(t.tris,n,r),o.drawArrays(o.TRIANGLES,0,t.tris.getCABO().getElementCount()),t.tris.getVAO().release(),i.forEach((e=&gt;e.deactivate()))},e.renderPieceFinish=(e,t)=&gt;{},e.updateBufferObjects=(t,n)=&gt;{e.getNeedToRebuildBufferObjects(t,n)&amp;&amp;e.buildBufferObjects(t,n)},e.getNeedToRebuildBufferObjects=(n,r)=&gt;{const o=r.getProperty(t.currentValidInputs[0].inputIndex),a=t.labelOutlineProperties.length&gt;0;return t.VBOBuildTime.getMTime()&lt;e.getMTime()||t.VBOBuildTime.getMTime()&lt;r.getMTime()||t.VBOBuildTime.getMTime()&lt;t.renderable.getMTime()||t.VBOBuildTime.getMTime()&lt;o?.getMTime()||t.currentValidInputs.some((({imageData:e})=&gt;t.VBOBuildTime.getMTime()&lt;e.getMTime()))||t.VBOBuildTime.getMTime()&lt;t.resliceGeom.getMTime()||t.scalarTextures.length!==t.currentValidInputs.length||!t.scalarTextures.every((e=&gt;!!e?.getHandle()))||!t.colorTexture?.getHandle()||!t.pwfTexture?.getHandle()||a&amp;&amp;(!t.labelOutlineThicknessTexture?.getHandle()||!t.labelOutlineOpacityTexture?.getHandle())},e.buildBufferObjects=(n,o)=&gt;{const a=o.getProperties();t.currentValidInputs.forEach((({imageData:e,inputIndex:n},o)=&gt;{const i=e.getPointData().getScalars(),s=t._openGLRenderWindow.getGraphicsResourceForObject(i),l=Wf(0,i),c=!s?.oglObject?.getHandle()||s?.hash!==l,u=a[n],d=u?.getUpdatedExtents()??[],p=!!d.length;if(c&amp;&amp;!p){const n=Hd.newInstance();n.setOpenGLRenderWindow(t._openGLRenderWindow);const r=e.getDimensions();n.setOglNorm16Ext(t.context.getExtension(&quot;EXT_texture_norm16&quot;)),n.resetFormatAndType(),n.create3DFilterableFromDataArray({width:r[0],height:r[1],depth:r[2],dataArray:i}),t._openGLRenderWindow.setGraphicsResourceForObject(i,n,l),t.scalarTextures[o]=n}else t.scalarTextures[o]=s.oglObject;if(p){u.setUpdatedExtents([]);const n=e.getDimensions();t.scalarTextures[o].create3DFilterableFromDataArray({width:n[0],height:n[1],depth:n[2],dataArray:i,updatedExtents:d})}r(t._openGLRenderWindow,t._scalarTexturesCore[o],i),t._scalarTexturesCore[o]=i}));const i=t.currentValidInputs[0],s=a[i.inputIndex];if(!s)return void Xf(&quot;Missing property for first input&quot;);const l=s.getIndependentComponents(),c=l?t.numberOfComponents:1,u=l?2*c:1,d=[];for(let e=0;e&lt;c;++e)if(t.multiTexturePerVolumeEnabled){const n=t.currentValidInputs[e],r=n?a[n.inputIndex]:null;d.push(r?.getRGBTransferFunction()||null)}else d.push(s.getRGBTransferFunction(e));const p=zf(d,l,c),f=s.getRGBTransferFunction(),g=t._openGLRenderWindow.getGraphicsResourceForObject(f);if(!g?.oglObject?.getHandle()||g?.hash!==p){let e=t.renderable.getColorTextureWidth();e&lt;=0&amp;&amp;(e=t.context.getParameter(t.context.MAX_TEXTURE_SIZE));const n=new Uint8ClampedArray(e*u*3),r=Hd.newInstance();if(r.setOpenGLRenderWindow(t._openGLRenderWindow),f){const t=new Float32Array(3*e);for(let r=0;r&lt;c;r++){const o=d[r];if(o){const a=o.getRange();if(o.getTable(a[0],a[1],e,t,1),l)for(let o=0;o&lt;3*e;o++)n[r*e*6+o]=255*t[o],n[r*e*6+o+3*e]=255*t[o];else for(let o=0;o&lt;3*e;o++)n[r*e*3+o]=255*t[o]}}r.resetFormatAndType(),r.create2DFromRaw({width:e,height:u,numComps:3,dataType:ms.UNSIGNED_CHAR,data:n})}else{for(let t=0;t&lt;3*e;++t){const r=255*t/(3*(e-1));for(let o=0;o&lt;u;++o)n[o*e*3+t+0]=r,n[o*e*3+t+1]=r,n[o*e*3+t+2]=r}r.resetFormatAndType(),r.create2DFromRaw({width:e,height:1,numComps:3,dataType:ms.UNSIGNED_CHAR,data:n})}f&amp;&amp;t._openGLRenderWindow.setGraphicsResourceForObject(f,r,p),t.colorTexture=r}else t.colorTexture=g.oglObject;r(t._openGLRenderWindow,t._colorTextureCore,f),t._colorTextureCore=f;const m=[];for(let e=0;e&lt;c;++e)if(t.multiTexturePerVolumeEnabled){const n=t.currentValidInputs[e],r=n?a[n.inputIndex]:null;m.push(r?.getPiecewiseFunction()||null)}else m.push(s.getPiecewiseFunction(e));const h=zf(m,l,c),v=s.getPiecewiseFunction(),T=t._openGLRenderWindow.getGraphicsResourceForObject(v);if(!T?.oglObject?.getHandle()||T?.hash!==h){let e=t.renderable.getOpacityTextureWidth();e&lt;=0&amp;&amp;(e=t.context.getParameter(t.context.MAX_TEXTURE_SIZE));const n=e*u,r=new Uint8ClampedArray(n),o=Hd.newInstance();if(o.setOpenGLRenderWindow(t._openGLRenderWindow),v){const t=new Float32Array(n),r=new Float32Array(e);for(let n=0;n&lt;c;++n){const o=m[n];if(null===o)t.fill(1);else{const a=o.getRange();if(o.getTable(a[0],a[1],e,r,1),l)for(let o=0;o&lt;e;o++)t[n*e*2+o]=r[o],t[n*e*2+o+e]=r[o];else for(let n=0;n&lt;e;n++)t[n]=r[n]}}o.resetFormatAndType(),o.create2DFromRaw({width:e,height:u,numComps:1,dataType:ms.FLOAT,data:t})}else r.fill(255),o.resetFormatAndType(),o.create2DFromRaw({width:e,height:u,numComps:1,dataType:ms.UNSIGNED_CHAR,data:r});v&amp;&amp;t._openGLRenderWindow.setGraphicsResourceForObject(v,o,h),t.pwfTexture=o}else t.pwfTexture=T.oglObject;r(t._openGLRenderWindow,t._pwfTextureCore,v),t._pwfTextureCore=v,t.labelOutlineProperties.length&gt;0&amp;&amp;(e.updateLabelOutlineThicknessTexture(t.labelOutlineProperties),e.updateLabelOutlineOpacityTexture(t.labelOutlineProperties));const x=`${t.resliceGeom.getMTime()}A${t.renderable.getSlabThickness()}`;if(!t.tris.getCABO().getElementCount()||t.VBOBuildString!==x){const e=Is.newInstance({numberOfComponents:3,values:t.resliceGeom.getPoints().getData()});e.setName(&quot;points&quot;);const n=Is.newInstance({numberOfComponents:1,values:t.resliceGeom.getPolys().getData()}),r={points:e,cellOffset:0};if(t.renderable.getSlabThickness()&gt;0){const e=t.resliceGeom.getPointData().getNormals();e?r.normals=e:Xf(&quot;Slab mode requested without normals&quot;)}t.tris.getCABO().createVBO(n,&quot;polys&quot;,rs.SURFACE,r)}t.VBOBuildString=x,t.VBOBuildTime.modified()},e.updateShaders=(n,r,o)=&gt;{if(t.lastBoundBO=n,e.getNeedToRebuildShaders(n,r,o)){const a={Vertex:null,Fragment:null,Geometry:null};e.buildShaders(a,r,o);const i=t._openGLRenderWindow.getShaderCache().readyShaderProgramArray(a.Vertex,a.Fragment,a.Geometry);i!==n.getProgram()&amp;&amp;(n.setProgram(i),n.getVAO().releaseGraphicsResources()),n.getShaderSourceTime().modified()}else t._openGLRenderWindow.getShaderCache().readyShaderProgram(n.getProgram());n.getVAO().bind(),e.setMapperShaderParameters(n,r,o),e.setCameraShaderParameters(n,r,o),e.setPropertyShaderParameters(n,r,o)},e.setMapperShaderParameters=(n,r,o)=&gt;{const a=n.getProgram(),i=t.currentValidInputs[0].imageData;if(n.getCABO().getElementCount()&amp;&amp;(t.VBOBuildTime.getMTime()&gt;n.getAttributeUpdateTime().getMTime()||n.getShaderSourceTime().getMTime()&gt;n.getAttributeUpdateTime().getMTime())){t.scalarTextures.forEach(((e,t)=&gt;{a.setUniformi(`volumeTexture[${t}]`,e.getTextureUnit())})),a.isAttributeUsed(&quot;vertexWC&quot;)&amp;&amp;(n.getVAO().addAttributeArray(a,n.getCABO(),&quot;vertexWC&quot;,n.getCABO().getVertexOffset(),n.getCABO().getStride(),t.context.FLOAT,3,t.context.FALSE)||Xf(&quot;Error setting vertexWC in shader VAO.&quot;)),a.isAttributeUsed(&quot;normalWC&quot;)&amp;&amp;(n.getVAO().addAttributeArray(a,n.getCABO(),&quot;normalWC&quot;,n.getCABO().getNormalOffset(),n.getCABO().getStride(),t.context.FLOAT,3,t.context.FALSE)||Xf(&quot;Error setting normalWC in shader VAO.&quot;)),a.isUniformUsed(&quot;slabThickness&quot;)&amp;&amp;a.setUniformf(&quot;slabThickness&quot;,t.renderable.getSlabThickness()),a.isUniformUsed(&quot;spacing&quot;)&amp;&amp;a.setUniform3fv(&quot;spacing&quot;,i.getSpacing()),a.isUniformUsed(&quot;slabType&quot;)&amp;&amp;a.setUniformi(&quot;slabType&quot;,t.renderable.getSlabType()),a.isUniformUsed(&quot;slabTrapezoid&quot;)&amp;&amp;a.setUniformi(&quot;slabTrapezoid&quot;,t.renderable.getSlabTrapezoidIntegration());const e=n.getCABO().getCoordShiftAndScaleEnabled()?n.getCABO().getInverseShiftAndScaleMatrix():null;for(let n=0;n&lt;t.currentValidInputs.length;n++){const r=`WCTCMatrix${n}`;if(a.isUniformUsed(r)){const o=t.currentValidInputs[n].imageData,i=o.getDimensions();T(t.tmpMat4,o.getIndexToWorld()),C(t.tmpMat4,t.tmpMat4,[-.5,-.5,-.5]),S(t.tmpMat4,t.tmpMat4,i),b(t.tmpMat4,t.tmpMat4),e&amp;&amp;A(t.tmpMat4,t.tmpMat4,e),a.setUniformMatrix(r,t.tmpMat4)}}a.isUniformUsed(&quot;vboScaling&quot;)&amp;&amp;a.setUniform3fv(&quot;vboScaling&quot;,n.getCABO().getCoordScale()??[1,1,1]),n.getAttributeUpdateTime().modified()}if(t.haveSeenDepthRequest&amp;&amp;n.getProgram().setUniformi(&quot;depthRequest&quot;,t.renderDepth?1:0),n.getProgram().isUniformUsed(&quot;coffset&quot;)){const t=e.getCoincidentParameters(r,o);n.getProgram().setUniformf(&quot;coffset&quot;,t.offset),n.getProgram().isUniformUsed(&quot;cfactor&quot;)&amp;&amp;n.getProgram().setUniformf(&quot;cfactor&quot;,t.factor)}},e.setCameraShaderParameters=(e,n,r)=&gt;{const o=t._openGLCamera.getKeyMatrices(n),a=t._openGLImageSlice.getKeyMatrices(),i=e.getCABO().getCoordShiftAndScaleEnabled()?e.getCABO().getInverseShiftAndScaleMatrix():null,s=e.getProgram();s.isUniformUsed(&quot;MCPCMatrix&quot;)&amp;&amp;(x(t.tmpMat4),s.setUniformMatrix(&quot;MCPCMatrix&quot;,Yf([o.wcpc,a.mcwc,i],H,t.tmpMat4))),s.isUniformUsed(&quot;MCVCMatrix&quot;)&amp;&amp;(x(t.tmpMat4),s.setUniformMatrix(&quot;MCVCMatrix&quot;,Yf([o.wcvc,a.mcwc,i],H,t.tmpMat4)))},e.setPropertyShaderParameters=(e,n,r)=&gt;{const o=e.getProgram(),a=r.getProperty(t.currentValidInputs[0].inputIndex),i=t.multiTexturePerVolumeEnabled?1:a.getOpacity();o.setUniformf(&quot;opacity&quot;,i);const s=t.numberOfComponents,c=a.getIndependentComponents(),u=t.multiTexturePerVolumeEnabled,p=r.getProperties();if(c)for(let e=0;e&lt;s;++e){const n=u?p[t.currentValidInputs[e].inputIndex]:a;o.setUniformf(`mix${e}`,n.getComponentWeight(0))}for(let e=0;e&lt;s;e++){const n=u?e:0,r=u?0:e,i=t.scalarTextures[n].getVolumeInfo(),s=i.scale[r],l=i.offset[r],d=c?e:0,f=u?p[t.currentValidInputs[e].inputIndex]:a;let g=f.getColorWindow(),m=f.getColorLevel();const h=f.getRGBTransferFunction(u?0:d);if(h&amp;&amp;f.getUseLookupTableScalarRange()){const e=h.getRange();g=e[1]-e[0],m=.5*(e[1]+e[0])}const v=s/g,T=(l-m)/g+.5;o.setUniformf(`cshift${e}`,T),o.setUniformf(`cscale${e}`,v);let x=1,y=0;const b=f.getPiecewiseFunction(u?0:d);if(b){const e=b.getRange(),t=e[1]-e[0];x=s/t,y=(l-.5*(e[0]+e[1]))/t+.5}o.setUniformf(`pwfshift${e}`,y),o.setUniformf(`pwfscale${e}`,x)}const f=t.colorTexture.getTextureUnit();o.setUniformi(&quot;colorTexture1&quot;,f);const g=t.pwfTexture.getTextureUnit();if(o.setUniformi(&quot;pwfTexture1&quot;,g),o.setUniform4fv(&quot;backgroundColor&quot;,t.renderable.getBackgroundColor()),t.labelOutlineProperties.length&gt;0){const e=t.labelOutlineThicknessTexture.getTextureUnit();o.setUniformi(&quot;labelOutlineThicknessTexture&quot;,e);const n=t.labelOutlineOpacityTexture.getTextureUnit();o.setUniformi(&quot;labelOutlineOpacityTexture&quot;,n);let r=t.renderable.getLabelOutlineTextureWidth();r&lt;=0&amp;&amp;(r=t.context.getParameter(t.context.MAX_TEXTURE_SIZE)),o.setUniformf(&quot;labelOutlineTextureWidth&quot;,r),o.setUniformf(&quot;numLabelmaps&quot;,t.labelOutlineProperties.length);const a=t.renderable.getSlicePlane();if(t._tmpTangent1.fill(0),t._tmpTangent2.fill(0),a){const e=a.getNormal();za.perpendiculars(e,t._tmpTangent1,t._tmpTangent2,0)}else t._tmpTangent1[0]=1,t._tmpTangent2[1]=1;for(let e=0;e&lt;t.currentValidInputs.length;e++){const n=t.currentValidInputs[e].imageData;l(t._tmpMat3,...n.getDirection()),d(t._tmpMat3,t._tmpMat3),ae(t._tmpVec3a,t._tmpTangent1,t._tmpMat3),ae(t._tmpVec3b,t._tmpTangent2,t._tmpMat3);const r=`outlineTangent1_${e}`,a=`outlineTangent2_${e}`;o.isUniformUsed(r)&amp;&amp;o.setUniform3fv(r,t._tmpVec3a),o.isUniformUsed(a)&amp;&amp;o.setUniform3fv(a,t._tmpVec3b)}for(let e=0;e&lt;t.currentValidInputs.length;e++){const n=`texelSize${e}`;if(o.isUniformUsed(n)){const r=t.currentValidInputs[e].imageData,a=r.getDimensions(),i=r.getSpacing(),s=Math.min(Math.abs(i[0]),Math.abs(i[1]),Math.abs(i[2]));t._tmpTexelSize[0]=s/(a[0]*Math.abs(i[0])),t._tmpTexelSize[1]=s/(a[1]*Math.abs(i[1])),t._tmpTexelSize[2]=s/(a[2]*Math.abs(i[2])),o.setUniform3fv(n,t._tmpTexelSize)}}}},e.getNeedToRebuildShaders=(e,n,r)=&gt;{const o=r.getProperty(t.currentValidInputs[0].inputIndex).getIndependentComponents(),a=t.labelOutlineProperties.length&gt;0,i=t.renderable.getSlabThickness(),s=t.renderable.getSlabType(),l=t.renderable.getSlabTrapezoidIntegration();let c=!1;(!t.currentRenderPass&amp;&amp;t.lastRenderPassShaderReplacement||t.currentRenderPass&amp;&amp;t.currentRenderPass.getShaderReplacement()!==t.lastRenderPassShaderReplacement)&amp;&amp;(c=!0);const u=t.currentValidInputs?.length??0;return!(!c&amp;&amp;t.lastHaveSeenDepthRequest===t.haveSeenDepthRequest&amp;&amp;t.lastNumberOfComponents===t.numberOfComponents&amp;&amp;t.lastMultiTexturePerVolumeEnabled===t.multiTexturePerVolumeEnabled&amp;&amp;0!==e.getProgram()?.getHandle()&amp;&amp;t.lastIndependentComponents===o&amp;&amp;t.lastUseLabelOutline===a&amp;&amp;t.lastNumValidInputs===u&amp;&amp;t.lastSlabThickness===i&amp;&amp;t.lastSlabType===s&amp;&amp;t.lastSlabTrapezoidIntegration===l)&amp;&amp;(t.lastHaveSeenDepthRequest=t.haveSeenDepthRequest,t.lastNumberOfComponents=t.numberOfComponents,t.lastMultiTexturePerVolumeEnabled=t.multiTexturePerVolumeEnabled,t.lastIndependentComponents=o,t.lastUseLabelOutline=a,t.lastNumValidInputs=u,t.lastSlabThickness=i,t.lastSlabType=s,t.lastSlabTrapezoidIntegration=l,!0)},e.getShaderTemplate=(e,t,n)=&gt;{e.Vertex=&quot;//VTK::System::Dec\\n\\n/*=========================================================================\\n\\n  Program:   Visualization Toolkit\\n  Module:    vtkImageResliceMapperVS.glsl\\n\\n  Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen\\n  All rights reserved.\\n  See Copyright.txt or http://www.kitware.com/Copyright.htm for details.\\n\\n     This software is distributed WITHOUT ANY WARRANTY; without even\\n     the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR\\n     PURPOSE.  See the above copyright notice for more information.\\n\\n=========================================================================*/\\n\\n// all variables that represent positions or directions have a suffix\\n// indicating the coordinate system they are in. The possible values are\\n// MC - Model coordinates\\n// WC - World coordinates\\n// VC - View coordinates\\n// DC - Display coordinates\\n// TC - Texture coordinates\\n\\n// frag position in VC\\n//VTK::PositionVC::Dec\\n\\n// Texture coordinates\\n//VTK::TCoord::Dec\\n\\n// picking support\\n//VTK::Picking::Dec\\n\\n// camera and actor matrix values\\n//VTK::Camera::Dec\\n\\nvoid main()\\n{\\n  //VTK::PositionVC::Impl\\n\\n  //VTK::TCoord::Impl\\n\\n  //VTK::Picking::Impl\\n}\\n&quot;,e.Fragment=&quot;//VTK::System::Dec\\n\\n/*=========================================================================\\n\\n  Program:   Visualization Toolkit\\n  Module:    vtkImageResliceMapperFS.glsl\\n\\n  Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen\\n  All rights reserved.\\n  See Copyright.txt or http://www.kitware.com/Copyright.htm for details.\\n\\n     This software is distributed WITHOUT ANY WARRANTY; without even\\n     the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR\\n     PURPOSE.  See the above copyright notice for more information.\\n\\n=========================================================================*/\\n// Template for the gpu image mapper fragment shader\\n\\n// VC position of this fragment\\n//VTK::PositionVC::Dec\\n\\n// Texture coordinates\\n//VTK::TCoord::Dec\\n\\n// picking support\\n//VTK::Picking::Dec\\n\\n// handle coincident offsets\\n//VTK::Coincident::Dec\\n\\n//VTK::ZBuffer::Dec\\n\\n// the output of this shader\\n//VTK::Output::Dec\\n\\nvoid main()\\n{\\n  // VC position of this fragment. This should not branch/return/discard.\\n  //VTK::PositionVC::Impl\\n\\n  // Place any calls that require uniform flow (e.g. dFdx) here.\\n  //VTK::UniformFlow::Impl\\n\\n  // Set gl_FragDepth here (gl_FragCoord.z by default)\\n  //VTK::Depth::Impl\\n\\n  // Early depth peeling abort:\\n  //VTK::DepthPeeling::PreColor\\n\\n  //VTK::TCoord::Impl\\n\\n  if (gl_FragData[0].a &lt;= 0.0)\\n    {\\n    discard;\\n    }\\n\\n  //VTK::DepthPeeling::Impl\\n\\n  //VTK::Picking::Impl\\n\\n  // handle coincident offsets\\n  //VTK::Coincident::Impl\\n\\n  //VTK::ZBuffer::Impl\\n\\n  //VTK::RenderPassFragmentShader::Impl\\n}\\n&quot;,e.Geometry=&quot;&quot;},e.replaceShaderValues=(n,r,o)=&gt;{if(e.replaceShaderTCoord(n,r,o),e.replaceShaderPositionVC(n,r,o),t.haveSeenDepthRequest){let e=n.Fragment;e=vd.substitute(e,&quot;//VTK::ZBuffer::Dec&quot;,&quot;uniform int depthRequest;&quot;).result,e=vd.substitute(e,&quot;//VTK::ZBuffer::Impl&quot;,[&quot;if (depthRequest == 1) {&quot;,&quot;float iz = floor(gl_FragCoord.z*65535.0 + 0.1);&quot;,&quot;float rf = floor(iz/256.0)/255.0;&quot;,&quot;float gf = mod(iz,256.0)/255.0;&quot;,&quot;gl_FragData[0] = vec4(rf, gf, 0.0, 1.0); }&quot;]).result,n.Fragment=e}e.replaceShaderCoincidentOffset(n,r,o)},e.replaceShaderTCoord=(e,n,r)=&gt;{let o=e.Vertex;const a=e.Geometry;let i=e.Fragment;const s=t.labelOutlineProperties.length&gt;0,l=t.renderable.getSlabThickness();o=vd.substitute(o,&quot;//VTK::TCoord::Dec&quot;,[]).result,o=vd.substitute(o,&quot;//VTK::TCoord::Impl&quot;,[]).result;const c=t.numberOfComponents,u=r.getProperty(t.currentValidInputs[0].inputIndex).getIndependentComponents(),d=t.scalarTextures.length;let p=[`uniform highp sampler3D volumeTexture[${d}];`,&quot;uniform float cshift0;&quot;,&quot;uniform float cscale0;&quot;,&quot;uniform float pwfshift0;&quot;,&quot;uniform float pwfscale0;&quot;,&quot;uniform sampler2D colorTexture1;&quot;,&quot;uniform sampler2D pwfTexture1;&quot;,&quot;uniform float opacity;&quot;,&quot;uniform vec4 backgroundColor;&quot;];for(let e=0;e&lt;d;e++)p.push(`uniform mat4 WCTCMatrix${e};`);if(s){p=p.concat([&quot;uniform sampler2D labelOutlineThicknessTexture;&quot;,&quot;uniform sampler2D labelOutlineOpacityTexture;&quot;,&quot;uniform float labelOutlineTextureWidth;&quot;,&quot;uniform float numLabelmaps;&quot;]);for(let e=0;e&lt;d;e++)p.push(`uniform vec3 outlineTangent1_${e};`),p.push(`uniform vec3 outlineTangent2_${e};`),p.push(`uniform vec3 texelSize${e};`)}if(p.push(&quot;vec4 rawSampleTexture(vec3 worldPos) {&quot;),t.multiTexturePerVolumeEnabled){p.push(&quot;vec4 rawSample;&quot;);for(let e=0;e&lt;d;++e)p.push(`vec3 tc${e} = (WCTCMatrix${e} * vec4(worldPos, 1.0)).xyz;`,`rawSample[${e}] = texture(volumeTexture[${e}], tc${e})[0];`);p.push(&quot;return rawSample;&quot;,&quot;}&quot;)}else p.push(&quot;vec3 tc0 = (WCTCMatrix0 * vec4(worldPos, 1.0)).xyz;&quot;,&quot;return texture(volumeTexture[0], tc0);&quot;,&quot;}&quot;);if(u){for(let e=1;e&lt;c;e++)p=p.concat([`uniform float cshift${e};`,`uniform float cscale${e};`,`uniform float pwfshift${e};`,`uniform float pwfscale${e};`]);switch(c){case 1:p=p.concat([&quot;uniform float mix0;&quot;,&quot;#define height0 0.5&quot;]);break;case 2:p=p.concat([&quot;uniform float mix0;&quot;,&quot;uniform float mix1;&quot;,&quot;#define height0 0.25&quot;,&quot;#define height1 0.75&quot;]);break;case 3:p=p.concat([&quot;uniform float mix0;&quot;,&quot;uniform float mix1;&quot;,&quot;uniform float mix2;&quot;,&quot;#define height0 0.17&quot;,&quot;#define height1 0.5&quot;,&quot;#define height2 0.83&quot;]);break;case 4:p=p.concat([&quot;uniform float mix0;&quot;,&quot;uniform float mix1;&quot;,&quot;uniform float mix2;&quot;,&quot;uniform float mix3;&quot;,&quot;#define height0 0.125&quot;,&quot;#define height1 0.375&quot;,&quot;#define height2 0.625&quot;,&quot;#define height3 0.875&quot;]);break;default:Xf(&quot;Unsupported number of independent coordinates.&quot;)}}l&gt;0&amp;&amp;(p=p.concat([&quot;uniform vec3 spacing;&quot;,&quot;uniform float slabThickness;&quot;,&quot;uniform int slabType;&quot;,&quot;uniform int slabTrapezoid;&quot;,&quot;uniform vec3 vboScaling;&quot;]),p=p.concat([&quot;vec4 compositeValue(vec4 currVal, vec4 valToComp, int trapezoid)&quot;,&quot;{&quot;,&quot;  vec4 retVal = vec4(1.0);&quot;,&quot;  if (slabType == 0) // min&quot;,&quot;  {&quot;,&quot;    retVal = min(currVal, valToComp);&quot;,&quot;  }&quot;,&quot;  else if (slabType == 1) // max&quot;,&quot;  {&quot;,&quot;    retVal = max(currVal, valToComp);&quot;,&quot;  }&quot;,&quot;  else if (slabType == 3) // sum&quot;,&quot;  {&quot;,&quot;    retVal = currVal + (trapezoid &gt; 0 ? 0.5 * valToComp : valToComp); &quot;,&quot;  }&quot;,&quot;  else // mean&quot;,&quot;  {&quot;,&quot;    retVal = currVal + (trapezoid &gt; 0 ? 0.5 * valToComp : valToComp); &quot;,&quot;  }&quot;,&quot;  return retVal;&quot;,&quot;}&quot;])),i=vd.substitute(i,&quot;//VTK::TCoord::Dec&quot;,p).result;let f=[&quot;vec3 fragWorldPos = vertexWCVSOutput.xyz;&quot;,&quot;vec3 fragTexCoord = (WCTCMatrix0 * vec4(fragWorldPos, 1.0)).xyz;&quot;,&quot;if (any(greaterThan(fragTexCoord, vec3(1.0))) || any(lessThan(fragTexCoord, vec3(0.0))))&quot;,&quot;{&quot;,&quot;  // set the background color and exit&quot;,&quot;  gl_FragData[0] = backgroundColor;&quot;,&quot;  return;&quot;,&quot;}&quot;,&quot;vec4 tvalue = rawSampleTexture(fragWorldPos);&quot;];if(l&gt;0&amp;&amp;(f=f.concat([&quot;// Get the first and last samples&quot;,&quot;int numSlices = 1;&quot;,&quot;float scaling = min(min(spacing.x, spacing.y), spacing.z) * 0.5;&quot;,&quot;vec3 normalxspacing = scaling * normalWCVSOutput;&quot;,&quot;float distTraveled = length(normalxspacing);&quot;,&quot;int trapezoid = 0;&quot;,&quot;while (distTraveled &lt; slabThickness * 0.5)&quot;,&quot;{&quot;,&quot;  distTraveled += length(normalxspacing);&quot;,&quot;  float fnumSlices = float(numSlices);&quot;,&quot;  if (distTraveled &gt; slabThickness * 0.5)&quot;,&quot;  {&quot;,&quot;    // Before stepping outside the slab, sample at the boundaries&quot;,&quot;    normalxspacing = normalWCVSOutput * slabThickness * 0.5 / fnumSlices;&quot;,&quot;    trapezoid = slabTrapezoid;&quot;,&quot;  }&quot;,&quot;  vec3 worldPosNeg = vertexWCVSOutput.xyz - fnumSlices * normalxspacing * vboScaling;&quot;,&quot;  vec3 fragTCoordNeg = (WCTCMatrix0 * vec4(worldPosNeg, 1.0)).xyz;&quot;,&quot;  if (!any(greaterThan(fragTCoordNeg, vec3(1.0))) &amp;&amp; !any(lessThan(fragTCoordNeg, vec3(0.0))))&quot;,&quot;  {&quot;,&quot;    vec4 newVal = rawSampleTexture(worldPosNeg);&quot;,&quot;    tvalue = compositeValue(tvalue, newVal, trapezoid);&quot;,&quot;    numSlices += 1;&quot;,&quot;  }&quot;,&quot;  vec3 worldPosPos = vertexWCVSOutput.xyz + fnumSlices * normalxspacing * vboScaling;&quot;,&quot;  vec3 fragTCoordPos = (WCTCMatrix0 * vec4(worldPosPos, 1.0)).xyz;&quot;,&quot;  if (!any(greaterThan(fragTCoordPos, vec3(1.0))) &amp;&amp; !any(lessThan(fragTCoordPos, vec3(0.0))))&quot;,&quot;  {&quot;,&quot;    vec4 newVal = rawSampleTexture(worldPosPos);&quot;,&quot;    tvalue = compositeValue(tvalue, newVal, trapezoid);&quot;,&quot;    numSlices += 1;&quot;,&quot;  }&quot;,&quot;}&quot;,&quot;// Finally, if slab type is *mean*, divide the sum by the numSlices&quot;,&quot;if (slabType == 2)&quot;,&quot;{&quot;,&quot;  tvalue = tvalue / float(numSlices);&quot;,&quot;}&quot;])),u){const e=[&quot;r&quot;,&quot;g&quot;,&quot;b&quot;,&quot;a&quot;];for(let t=0;t&lt;c;++t)f=f.concat([`vec3 tcolor${t} = texture2D(colorTexture1, vec2(tvalue.${e[t]} * cscale${t} + cshift${t}, height${t})).rgb;`,`float compWeight${t} = mix${t} * texture2D(pwfTexture1, vec2(tvalue.${e[t]} * pwfscale${t} + pwfshift${t}, height${t})).r;`]);const n=[];if(s)for(let e=0;e&lt;c;e++){const o=r.getProperty(t.currentValidInputs[e].inputIndex);o?.getUseLabelOutline()&amp;&amp;n.push(e)}const o=e=&gt;{if(1===e)return[&quot;gl_FragData[0] = vec4(tcolor0.rgb, compWeight0 * opacity);&quot;];const t=Array.from({length:e},((e,t)=&gt;t)),n=t.map((e=&gt;`compWeight${e}`)).join(&quot; + &quot;),r=t.map((e=&gt;`(tcolor${e}.rgb * (compWeight${e} / weightSum))`)).join(&quot; + &quot;);return[`float weightSum = ${n};`,`gl_FragData[0] = vec4(vec3(${r}), opacity);`]};f=n.length&gt;0?f.concat(function(e,t){const n=[&quot;r&quot;,&quot;g&quot;,&quot;b&quot;,&quot;a&quot;],r=Array.from({length:t},((e,t)=&gt;t)),o=r.filter((t=&gt;!e.includes(t))),a=e.map((e=&gt;`vec3 labelTexCoord${e} = (WCTCMatrix${e} * vec4(fragWorldPos, 1.0)).xyz;`)).join(&quot;\\n                &quot;),i=0===e.length?&quot;&quot;:`float neighborLabel = ${e.map(((e,t)=&gt;0===t?`(labelInputIdx == ${t}) ? texture(volumeTexture[${e}], neighborTexCoord).r`:` : (labelInputIdx == ${t}) ? texture(volumeTexture[${e}], neighborTexCoord).r`)).join(&quot;&quot;)} : 0.0;`,s=[...o,...e].map((t=&gt;{const r=e.includes(t),o=e.indexOf(t);return r?`\\n        // Process input ${t} as labelmap\\n        {\\n          float labelValue = tvalue.${n[t]};\\n          int segmentIndex = int(labelValue * 255.0);\\n\\n          if (segmentIndex &gt; 0) {\\n            float textureCoordinate = float(segmentIndex - 1) / labelOutlineTextureWidth;\\n            float labelmapRow = (float(${o}) + 0.5) / numLabelmaps;\\n            float thicknessValue = texture2D(labelOutlineThicknessTexture, vec2(textureCoordinate, labelmapRow)).r;\\n            float labelOutlineOpacityValue = texture2D(labelOutlineOpacityTexture, vec2(textureCoordinate, labelmapRow)).r;\\n            int actualThickness = int(thicknessValue * 255.0);\\n\\n            vec3 currentLabelTC = labelTexCoord${t};\\n            vec3 currentTexelSize = texelSize${t};\\n            vec3 currentTangent1 = outlineTangent1_${t};\\n            vec3 currentTangent2 = outlineTangent2_${t};\\n\\n            bool pixelOnBorder = false;\\n            int labelInputIdx = ${o};\\n            for (int i = -actualThickness; i &lt;= actualThickness; i++) {\\n              for (int j = -actualThickness; j &lt;= actualThickness; j++) {\\n                if (i == 0 &amp;&amp; j == 0) continue;\\n                vec3 neighborTexCoord = currentLabelTC + float(i) * currentTangent1 * currentTexelSize + float(j) * currentTangent2 * currentTexelSize;\\n                if (any(greaterThan(neighborTexCoord, vec3(1.0))) || any(lessThan(neighborTexCoord, vec3(0.0)))) {\\n                  pixelOnBorder = true;\\n                  break;\\n                }\\n                ${i}\\n                if (neighborLabel != labelValue) {\\n                  pixelOnBorder = true;\\n                  break;\\n                }\\n              }\\n              if (pixelOnBorder) break;\\n            }\\n\\n            if (pixelOnBorder) {\\n              convergentColor.rgb = mix(convergentColor.rgb, tcolor${t}.rgb, labelOutlineOpacityValue);\\n              convergentColor.a = max(convergentColor.a, labelOutlineOpacityValue);\\n            } else if (compWeight${t} &gt; 0.0) {\\n              float fillAlpha = compWeight${t} * opacity;\\n              convergentColor.rgb = mix(convergentColor.rgb, tcolor${t}.rgb, fillAlpha);\\n              convergentColor.a = max(convergentColor.a, fillAlpha);\\n            }\\n          }\\n        }`:`\\n        // Process input ${t} as background image\\n        {\\n          float bgAlpha = compWeight${t} * opacity;\\n          convergentColor.rgb = mix(convergentColor.rgb, tcolor${t}.rgb, bgAlpha);\\n          convergentColor.a = max(convergentColor.a, bgAlpha);\\n        }`})).join(&quot;\\n        &quot;),l=e.length&gt;0?`labelmaps at input${e.length&gt;1?&quot;s&quot;:&quot;&quot;} ${e.join(&quot;, &quot;)}`:&quot;no labelmaps&quot;,c=o.length&gt;0?`background at input${o.length&gt;1?&quot;s&quot;:&quot;&quot;} ${o.join(&quot;, &quot;)}`:&quot;no background&quot;;return qf(`\\n      // Multi-texture mode: ${l}, ${c}\\n      vec4 convergentColor = vec4(0.0, 0.0, 0.0, 0.0);\\n\\n      // Compute labelmap texture coordinates\\n      ${a}\\n\\n      // Process each input in order\\n      ${s}\\n\\n      gl_FragData[0] = convergentColor;\\n    `)}(n,c)):f.concat(o(c))}else switch(c){case 1:f=s?f.concat([...qf(&quot;\\n                // Label outline mode for single component\\n                float centerValue = tvalue.r;\\n                int segmentIndex = int(centerValue * 255.0);\\n\\n                // Skip background (segment 0)\\n                if (segmentIndex == 0) {\\n                  gl_FragData[0] = vec4(0.0, 0.0, 0.0, 0.0);\\n                  return;\\n                }\\n\\n                // Get outline parameters for this segment (row 0 for single labelmap)\\n                float textureCoordinate = float(segmentIndex - 1) / labelOutlineTextureWidth;\\n                float labelmapRow = 0.5 / numLabelmaps;\\n                float thicknessValue = texture2D(labelOutlineThicknessTexture, vec2(textureCoordinate, labelmapRow)).r;\\n                float outlineOpacity = texture2D(labelOutlineOpacityTexture, vec2(textureCoordinate, labelmapRow)).r;\\n                int actualThickness = int(thicknessValue * 255.0);\\n\\n                // Get color for this segment\\n                vec3 tColor = texture2D(colorTexture1, vec2(centerValue * cscale0 + cshift0, 0.5)).rgb;\\n                float scalarOpacity = texture2D(pwfTexture1, vec2(centerValue * pwfscale0 + pwfshift0, 0.5)).r;\\n                float opacityToUse = scalarOpacity * opacity;\\n\\n                // Check neighbors for border detection\\n                bool pixelOnBorder = false;\\n                for (int i = -actualThickness; i &lt;= actualThickness; i++) {\\n                  for (int j = -actualThickness; j &lt;= actualThickness; j++) {\\n                    if (i == 0 &amp;&amp; j == 0) {\\n                      continue;\\n                    }\\n                    // Sample neighbor using tangent vectors in texture space\\n                    vec3 neighborTexCoord = fragTexCoord + float(i) * outlineTangent1_0 * texelSize0 + float(j) * outlineTangent2_0 * texelSize0;\\n\\n                    // Skip if outside texture bounds\\n                    if (any(greaterThan(neighborTexCoord, vec3(1.0))) || any(lessThan(neighborTexCoord, vec3(0.0)))) {\\n                      pixelOnBorder = true;\\n                      break;\\n                    }\\n\\n                    float neighborValue = texture(volumeTexture[0], neighborTexCoord).r;\\n                    if (neighborValue != centerValue) {\\n                      pixelOnBorder = true;\\n                      break;\\n                    }\\n                  }\\n                  if (pixelOnBorder) {\\n                    break;\\n                  }\\n                }\\n\\n                if (pixelOnBorder) {\\n                  gl_FragData[0] = vec4(tColor, outlineOpacity);\\n                } else {\\n                  gl_FragData[0] = vec4(tColor, opacityToUse);\\n                }\\n              &quot;)]):f.concat([&quot;// Dependent components&quot;,&quot;float intensity = tvalue.r;&quot;,&quot;vec3 tcolor = texture2D(colorTexture1, vec2(intensity * cscale0 + cshift0, 0.5)).rgb;&quot;,&quot;float scalarOpacity = texture2D(pwfTexture1, vec2(intensity * pwfscale0 + pwfshift0, 0.5)).r;&quot;,&quot;gl_FragData[0] = vec4(tcolor, scalarOpacity * opacity);&quot;]);break;case 2:f=f.concat([&quot;float intensity = tvalue.r*cscale0 + cshift0;&quot;,&quot;gl_FragData[0] = vec4(texture2D(colorTexture1, vec2(intensity, 0.5)).rgb, pwfscale0*tvalue.g + pwfshift0);&quot;]);break;case 3:f=f.concat([&quot;vec4 tcolor = cscale0*tvalue + cshift0;&quot;,&quot;gl_FragData[0] = vec4(texture2D(colorTexture1, vec2(tcolor.r,0.5)).r,&quot;,&quot;  texture2D(colorTexture1, vec2(tcolor.g,0.5)).r,&quot;,&quot;  texture2D(colorTexture1, vec2(tcolor.b,0.5)).r, opacity);&quot;]);break;default:f=f.concat([&quot;vec4 tcolor = cscale0*tvalue + cshift0;&quot;,&quot;gl_FragData[0] = vec4(texture2D(colorTexture1, vec2(tcolor.r,0.5)).r,&quot;,&quot;  texture2D(colorTexture1, vec2(tcolor.g,0.5)).r,&quot;,&quot;  texture2D(colorTexture1, vec2(tcolor.b,0.5)).r, tcolor.a);&quot;])}i=vd.substitute(i,&quot;//VTK::TCoord::Impl&quot;,f).result,e.Vertex=o,e.Fragment=i,e.Geometry=a},e.replaceShaderPositionVC=(n,r,o)=&gt;{let a=n.Vertex;const i=n.Geometry;let s=n.Fragment;const l=t.renderable.getSlabThickness();let c=[&quot;attribute vec4 vertexWC;&quot;,&quot;varying vec4 vertexWCVSOutput;&quot;];c=c.concat([`//${e.getMTime()}${t.resliceGeomUpdateString}`]),l&gt;0&amp;&amp;(c=c.concat([&quot;attribute vec3 normalWC;&quot;,&quot;varying vec3 normalWCVSOutput;&quot;])),a=vd.substitute(a,&quot;//VTK::PositionVC::Dec&quot;,c).result;let u=[&quot;gl_Position = MCPCMatrix * vertexWC;&quot;,&quot;vertexWCVSOutput = vertexWC;&quot;];l&gt;0&amp;&amp;(u=u.concat([&quot;normalWCVSOutput = normalWC;&quot;])),a=vd.substitute(a,&quot;//VTK::PositionVC::Impl&quot;,u).result,a=vd.substitute(a,&quot;//VTK::Camera::Dec&quot;,[&quot;uniform mat4 MCPCMatrix;&quot;,&quot;uniform mat4 MCVCMatrix;&quot;]).result;let d=[&quot;varying vec4 vertexWCVSOutput;&quot;];l&gt;0&amp;&amp;(d=d.concat([&quot;varying vec3 normalWCVSOutput;&quot;])),s=vd.substitute(s,&quot;//VTK::PositionVC::Dec&quot;,d).result,n.Vertex=a,n.Geometry=i,n.Fragment=s},e.updateResliceGeometry=()=&gt;{let e=&quot;&quot;;const n=t.currentValidInputs[0].imageData,r=n?.getBounds();let o=!0,a=2;const s=t.renderable.getSlicePolyData(),c=t.renderable.getSlicePlane();if(s)e=e.concat(`PolyData${s.getMTime()}`);else if(c){e=e.concat(`Plane${c.getMTime()}`);const t=i();n&amp;&amp;(e=e.concat(`Image${n.getMTime()}`),l(t,...n.getDirection()),d(t,t));const r=[...c.getNormal()];ae(r,r,t),[o,a]=function(e){za.normalize(e);const t=[0,0,0];for(let r=0;r&lt;3;++r){(n=t)[0]=0,n[1]=0,n[2]=0,t[r]=1;const o=za.dot(e,t);if(o&lt;-.999999||o&gt;.999999)return[!0,r]}var n;return[!1,2]}(r)}else{const o=ai.newInstance();o.setNormal(0,0,1);let a=[0,1,0,1,0,1];n&amp;&amp;(a=r),o.setOrigin(a[0],a[2],.5*(a[5]+a[4])),t.renderable.setSlicePlane(o),e=e.concat(`Plane${c?.getMTime()}`),n&amp;&amp;(e=e.concat(`Image${n.getMTime()}`))}if(!t.resliceGeom||t.resliceGeomUpdateString!==e){if(s)t.resliceGeom||(t.resliceGeom=Ru.newInstance()),t.resliceGeom.getPoints().setData(s.getPoints().getData(),3),t.resliceGeom.getPolys().setData(s.getPolys().getData(),1),t.resliceGeom.getPointData().setNormals(s.getPointData().getNormals());else if(c)if(o){const e=new Float32Array(12),r=n.worldToIndex(c.getOrigin(),[0,0,0]),o=[(a+1)%3,(a+2)%3].sort(),i=n.getSpatialExtent();let s=0;for(let t=0;t&lt;2;++t)for(let n=0;n&lt;2;++n)e[s+a]=r[a],e[s+o[0]]=i[2*o[0]+n],e[s+o[1]]=i[2*o[1]+t],s+=3;t.transform.setMatrix(n.getIndexToWorld()),t.transform.transformPoints(e,e);const l=new Uint16Array(8);l[0]=3,l[1]=0,l[2]=1,l[3]=3,l[4]=3,l[5]=0,l[6]=3,l[7]=2;const u=c.getNormal();za.normalize(u);const d=new Float32Array(12);for(let e=0;e&lt;4;++e)d[3*e]=u[0],d[3*e+1]=u[1],d[3*e+2]=u[2];t.resliceGeom||(t.resliceGeom=Ru.newInstance()),t.resliceGeom.getPoints().setData(e,3),t.resliceGeom.getPolys().setData(l,1);const p=Is.newInstance({numberOfComponents:3,values:d,name:&quot;Normals&quot;});t.resliceGeom.getPointData().setNormals(p)}else{t.outlineFilter.setInputData(n),t.cutter.setInputConnection(t.outlineFilter.getOutputPort()),t.cutter.setCutFunction(c),t.lineToSurfaceFilter.setInputConnection(t.cutter.getOutputPort()),t.lineToSurfaceFilter.update(),t.resliceGeom||(t.resliceGeom=Ru.newInstance());const e=t.lineToSurfaceFilter.getOutputData();t.resliceGeom.getPoints().setData(e.getPoints().getData(),3),t.resliceGeom.getPolys().setData(e.getPolys().getData(),1),t.resliceGeom.getPointData().setNormals(e.getPointData().getNormals());const r=c.getNormal(),o=t.resliceGeom.getNumberOfPoints();za.normalize(r);const a=new Float32Array(3*o);for(let e=0;e&lt;o;++e)a[3*e]=r[0],a[3*e+1]=r[1],a[3*e+2]=r[2];const i=Is.newInstance({numberOfComponents:3,values:a,name:&quot;Normals&quot;});t.resliceGeom.getPointData().setNormals(i)}else Xf(&quot;Something went wrong.&quot;,&quot;A default slice plane should have been created in the beginning of&quot;,&quot;updateResliceGeometry.&quot;);t.resliceGeomUpdateString=e,t.resliceGeom?.modified()}},e.updateLabelOutlineThicknessTexture=e=&gt;{a(e.map((({property:e})=&gt;e.getLabelOutlineThicknessByReference())),Uint8Array,ms.UNSIGNED_CHAR,&quot;_labelOutlineThicknessHash&quot;,&quot;labelOutlineThicknessTexture&quot;)},e.updateLabelOutlineOpacityTexture=e=&gt;{a(e.map((({property:e})=&gt;{let t=e.getLabelOutlineOpacity();return&quot;number&quot;==typeof t&amp;&amp;(t=[t]),t})),Float32Array,ms.FLOAT,&quot;_labelOutlineOpacityHash&quot;,&quot;labelOutlineOpacityTexture&quot;)},e.setScalarTextures=e=&gt;{t.scalarTextures=[...e],t._externalOpenGLTexture=!0},e.delete=qt((()=&gt;{t._openGLRenderWindow&amp;&amp;o(t._openGLRenderWindow),t.labelOutlineThicknessTexture&amp;&amp;(t.labelOutlineThicknessTexture.releaseGraphicsResources(),t.labelOutlineThicknessTexture=null),t.labelOutlineOpacityTexture&amp;&amp;(t.labelOutlineOpacityTexture.releaseGraphicsResources(),t.labelOutlineOpacityTexture=null)}),e.delete)}const Zf={VBOBuildTime:{},VBOBuildString:null,haveSeenDepthRequest:!1,lastHaveSeenDepthRequest:!1,lastIndependentComponents:!1,lastUseLabelOutline:!1,lastNumValidInputs:0,lastNumberOfComponents:0,lastMultiTexturePerVolumeEnabled:!1,lastSlabThickness:0,lastSlabTrapezoidIntegration:0,lastSlabType:-1,scalarTextures:[],_scalarTexturesCore:[],colorTexture:null,_colorTextureCore:null,pwfTexture:null,_pwfTextureCore:null,labelOutlineProperties:[],labelOutlineThicknessTexture:null,_labelOutlineThicknessHash:null,labelOutlineOpacityTexture:null,_labelOutlineOpacityHash:null,_externalOpenGLTexture:!1,resliceGeom:null,resliceGeomUpdateString:null,tris:null};vn(&quot;vtkImageResliceMapper&quot;,Xt((function(e,t,n={}){Object.assign(t,Zf,n),pn.extend(e,t,n),qd.implementReplaceShaderCoincidentOffset(e,t,n),qd.implementBuildShadersWithReplacements(e,t,n),t.tris=Sd.newInstance(),t.scalarTextures=[],t.colorTexture=null,t.pwfTexture=null,t.VBOBuildTime={},Vt(t.VBOBuildTime),t.tmpMat4=x(new Float64Array(16)),t._tmpMat3=i(),t._tmpVec3a=j(),t._tmpVec3b=j(),t._tmpTangent1=[0,0,0],t._tmpTangent2=[0,0,0],t._tmpTexelSize=[0,0,0],t.outlineFilter=Nf.newInstance(),t.outlineFilter.setGenerateFaces(!0),t.outlineFilter.setGenerateLines(!1),t.cubePolyData=Ru.newInstance(),t.cutter=Sf.newInstance(),t.lineToSurfaceFilter=xf.newInstance(),t.transform=Kf.newInstance(),Bt(e,t,[&quot;scalarTextures&quot;]),Jf(e,t)}),&quot;vtkOpenGLImageResliceMapper&quot;));var Qf={SlicingMode:{NONE:-1,I:0,J:1,K:2,X:3,Y:4,Z:5}};const{vtkErrorMacro:$f}=ln,{SlicingMode:eg}=Qf;function tg(e){const t=e.split(&quot;\\n&quot;),n=[];for(let e=0;e&lt;t.length;++e){const r=t[e].trim();r.length&gt;0&amp;&amp;n.push(r)}return n}const ng={VBOBuildTime:0,VBOBuildString:null,openGLTexture:null,tris:null,imagemat:null,imagematinv:null,colorTexture:null,pwfTexture:null,labelOutlineThicknessTexture:null,labelOutlineOpacityTexture:null,lastHaveSeenDepthRequest:!1,haveSeenDepthRequest:!1,lastTextureComponents:0};const rg=Xt((function(e,t,n={}){Object.assign(t,ng,n),pn.extend(e,t,n),qd.implementReplaceShaderCoincidentOffset(e,t,n),qd.implementBuildShadersWithReplacements(e,t,n),t.tris=Sd.newInstance(),t.imagemat=x(new Float64Array(16)),t.imagematinv=x(new Float64Array(16)),t.projectionToWorld=x(new Float64Array(16)),t.idxToView=x(new Float64Array(16)),t.idxNormalMatrix=c(new Float64Array(9)),t.modelToView=x(new Float64Array(16)),t.projectionToView=x(new Float64Array(16)),Gt(e,t,[]),t.VBOBuildTime={},Vt(t.VBOBuildTime),function(e,t){function n(n){t.openGLTexture.releaseGraphicsResources(n),[t._colorTransferFunc,t._pwFunc,t._labelOutlineThicknessArray,t._labelOutlineOpacity].forEach((t=&gt;n.unregisterGraphicsResourceUser(t,e)))}t.classHierarchy.push(&quot;vtkOpenGLImageMapper&quot;),e.buildPass=r=&gt;{if(r){t.currentRenderPass=null,t.openGLImageSlice=e.getFirstAncestorOfType(&quot;vtkOpenGLImageSlice&quot;),t._openGLRenderer=e.getFirstAncestorOfType(&quot;vtkOpenGLRenderer&quot;);const r=t._openGLRenderWindow;t._openGLRenderWindow=t._openGLRenderer.getLastAncestorOfType(&quot;vtkOpenGLRenderWindow&quot;),r&amp;&amp;!r.isDeleted()&amp;&amp;r!==t._openGLRenderWindow&amp;&amp;n(r),t.context=t._openGLRenderWindow.getContext(),t.tris.setOpenGLRenderWindow(t._openGLRenderWindow);const o=t._openGLRenderer.getRenderable();t.openGLCamera=t._openGLRenderer.getViewNodeFor(o.getActiveCamera(),t.openGLCamera),t.renderable.isA(&quot;vtkImageMapper&quot;)&amp;&amp;t.renderable.getSliceAtFocalPoint()&amp;&amp;t.renderable.setSliceFromCamera(o.getActiveCamera())}},e.translucentPass=(n,r)=&gt;{n&amp;&amp;(t.currentRenderPass=r,e.render())},e.zBufferPass=n=&gt;{n&amp;&amp;(t.haveSeenDepthRequest=!0,t.renderDepth=!0,e.render(),t.renderDepth=!1)},e.opaqueZBufferPass=t=&gt;e.zBufferPass(t),e.opaquePass=t=&gt;{t&amp;&amp;e.render()},e.getCoincidentParameters=(e,n)=&gt;t.renderable.getResolveCoincidentTopology()==Pl.PolygonOffset?t.renderable.getCoincidentTopologyPolygonOffsetParameters():null,e.render=()=&gt;{const n=t.openGLImageSlice.getRenderable(),r=t._openGLRenderer.getRenderable();e.renderPiece(r,n)},e.getShaderTemplate=(e,t,n)=&gt;{e.Vertex=jd,e.Fragment=Xd,e.Geometry=&quot;&quot;},e.replaceShaderValues=(n,r,o)=&gt;{let a=n.Vertex,i=n.Fragment;a=vd.substitute(a,&quot;//VTK::Camera::Dec&quot;,[&quot;uniform mat4 MCPCMatrix;&quot;]).result,a=vd.substitute(a,&quot;//VTK::PositionVC::Impl&quot;,[&quot;  gl_Position = MCPCMatrix * vertexMC;&quot;]).result,a=vd.substitute(a,&quot;//VTK::TCoord::Impl&quot;,&quot;tcoordVCVSOutput = tcoordMC;&quot;).result,a=vd.substitute(a,&quot;//VTK::TCoord::Dec&quot;,&quot;attribute vec2 tcoordMC; varying vec2 tcoordVCVSOutput;&quot;).result;const s=t.openGLTexture.getComponents(),l=o.getProperty().getIndependentComponents();let c=[&quot;varying vec2 tcoordVCVSOutput;&quot;,&quot;uniform float cshift0;&quot;,&quot;uniform float cscale0;&quot;,&quot;uniform float pwfshift0;&quot;,&quot;uniform float pwfscale0;&quot;,&quot;uniform sampler2D texture1;&quot;,&quot;uniform sampler2D colorTexture1;&quot;,&quot;uniform sampler2D pwfTexture1;&quot;,&quot;uniform float opacity;&quot;];if(o.getProperty().getUseLabelOutline()&amp;&amp;(c=c.concat([&quot;uniform sampler2D labelOutlineTexture1;&quot;,&quot;uniform sampler2D labelOutlineOpacityTexture1;&quot;])),l){for(let e=1;e&lt;s;e++)c=c.concat([`uniform float cshift${e};`,`uniform float cscale${e};`,`uniform float pwfshift${e};`,`uniform float pwfscale${e};`]);switch(s){case 1:c=c.concat([&quot;uniform float mix0;&quot;,&quot;#define height0 0.5&quot;]);break;case 2:c=c.concat([&quot;uniform float mix0;&quot;,&quot;uniform float mix1;&quot;,&quot;#define height0 0.25&quot;,&quot;#define height1 0.75&quot;]);break;case 3:c=c.concat([&quot;uniform float mix0;&quot;,&quot;uniform float mix1;&quot;,&quot;uniform float mix2;&quot;,&quot;#define height0 0.17&quot;,&quot;#define height1 0.5&quot;,&quot;#define height2 0.83&quot;]);break;case 4:c=c.concat([&quot;uniform float mix0;&quot;,&quot;uniform float mix1;&quot;,&quot;uniform float mix2;&quot;,&quot;uniform float mix3;&quot;,&quot;#define height0 0.125&quot;,&quot;#define height1 0.375&quot;,&quot;#define height2 0.625&quot;,&quot;#define height3 0.875&quot;]);break;default:$f(&quot;Unsupported number of independent coordinates.&quot;)}}if(i=vd.substitute(i,&quot;//VTK::TCoord::Dec&quot;,c).result,!0===o.getProperty().getUseLabelOutline()&amp;&amp;(i=vd.substitute(i,&quot;//VTK::LabelOutline::Dec&quot;,[&quot;uniform float vpWidth;&quot;,&quot;uniform float vpHeight;&quot;,&quot;uniform float vpOffsetX;&quot;,&quot;uniform float vpOffsetY;&quot;,&quot;uniform mat4 PCWCMatrix;&quot;,&quot;uniform mat4 vWCtoIDX;&quot;,&quot;uniform ivec3 imageDimensions;&quot;,&quot;uniform int sliceAxis;&quot;]).result,i=vd.substitute(i,&quot;//VTK::ImageLabelOutlineOn&quot;,&quot;#define vtkImageLabelOutlineOn&quot;).result,i=vd.substitute(i,&quot;//VTK::LabelOutlineHelperFunction&quot;,[&quot;#ifdef vtkImageLabelOutlineOn&quot;,&quot;vec3 fragCoordToIndexSpace(vec4 fragCoord) {&quot;,&quot;  vec4 pcPos = vec4(&quot;,&quot;    (fragCoord.x / vpWidth - vpOffsetX - 0.5) * 2.0,&quot;,&quot;    (fragCoord.y / vpHeight - vpOffsetY - 0.5) * 2.0,&quot;,&quot;    (fragCoord.z - 0.5) * 2.0,&quot;,&quot;    1.0);&quot;,&quot;&quot;,&quot;  vec4 worldCoord = PCWCMatrix * pcPos;&quot;,&quot;  vec4 vertex = (worldCoord/worldCoord.w);&quot;,&quot;&quot;,&quot;  vec3 index = (vWCtoIDX * vertex).xyz;&quot;,&quot;&quot;,&quot;  // half voxel fix for labelmapOutline&quot;,&quot;  return (index + vec3(0.5)) / vec3(imageDimensions);&quot;,&quot;}&quot;,&quot;vec2 getSliceCoords(vec3 coord, int axis) {&quot;,&quot;  if (axis == 0) return coord.yz;&quot;,&quot;  if (axis == 1) return coord.xz;&quot;,&quot;  if (axis == 2) return coord.xy;&quot;,&quot;}&quot;,&quot;#endif&quot;]).result),l){const e=[&quot;r&quot;,&quot;g&quot;,&quot;b&quot;,&quot;a&quot;];let t=[&quot;vec4 tvalue = texture2D(texture1, tcoordVCVSOutput);&quot;];for(let n=0;n&lt;s;n++)t=t.concat([`vec3 tcolor${n} = mix${n} * texture2D(colorTexture1, vec2(tvalue.${e[n]} * cscale${n} + cshift${n}, height${n})).rgb;`,`float compWeight${n} = mix${n} * texture2D(pwfTexture1, vec2(tvalue.${e[n]} * pwfscale${n} + pwfshift${n}, height${n})).r;`]);switch(s){case 1:t=t.concat([&quot;gl_FragData[0] = vec4(tcolor0.rgb, opacity);&quot;]);break;case 2:t=t.concat([&quot;float weightSum = compWeight0 + compWeight1;&quot;,&quot;gl_FragData[0] = vec4(vec3((tcolor0.rgb * (compWeight0 / weightSum)) + (tcolor1.rgb * (compWeight1 / weightSum))), opacity);&quot;]);break;case 3:t=t.concat([&quot;float weightSum = compWeight0 + compWeight1 + compWeight2;&quot;,&quot;gl_FragData[0] = vec4(vec3((tcolor0.rgb * (compWeight0 / weightSum)) + (tcolor1.rgb * (compWeight1 / weightSum)) + (tcolor2.rgb * (compWeight2 / weightSum))), opacity);&quot;]);break;case 4:t=t.concat([&quot;float weightSum = compWeight0 + compWeight1 + compWeight2 + compWeight3;&quot;,&quot;gl_FragData[0] = vec4(vec3((tcolor0.rgb * (compWeight0 / weightSum)) + (tcolor1.rgb * (compWeight1 / weightSum)) + (tcolor2.rgb * (compWeight2 / weightSum)) + (tcolor3.rgb * (compWeight3 / weightSum))), opacity);&quot;]);break;default:$f(&quot;Unsupported number of independent coordinates.&quot;)}i=vd.substitute(i,&quot;//VTK::TCoord::Impl&quot;,t).result}else switch(s){case 1:i=vd.substitute(i,&quot;//VTK::TCoord::Impl&quot;,[...tg(&quot;\\n                #ifdef vtkImageLabelOutlineOn\\n                  vec3 centerPosIS = fragCoordToIndexSpace(gl_FragCoord);\\n                  float centerValue = texture2D(texture1, getSliceCoords(centerPosIS, sliceAxis)).r;\\n                  bool pixelOnBorder = false;\\n                  vec3 tColor = texture2D(colorTexture1, vec2(centerValue * cscale0 + cshift0, 0.5)).rgb;\\n                  float scalarOpacity = texture2D(pwfTexture1, vec2(centerValue * pwfscale0 + pwfshift0, 0.5)).r;\\n                  float opacityToUse = scalarOpacity * opacity;\\n                  int segmentIndex = int(centerValue * 255.0);\\n                  float textureCoordinate = float(segmentIndex - 1) / 1024.0;\\n                  float textureValue = texture2D(labelOutlineTexture1, vec2(textureCoordinate, 0.5)).r;\\n                  float outlineOpacity = texture2D(labelOutlineOpacityTexture1, vec2(textureCoordinate, 0.5)).r;\\n                  int actualThickness = int(textureValue * 255.0);\\n\\n                  if (segmentIndex == 0){\\n                    gl_FragData[0] = vec4(0.0, 0.0, 0.0, 0.0);\\n                    return;\\n                  }\\n\\n                  for (int i = -actualThickness; i &lt;= actualThickness; i++) {\\n                    for (int j = -actualThickness; j &lt;= actualThickness; j++) {\\n                      if (i == 0 &amp;&amp; j == 0) {\\n                        continue;\\n                      }\\n                      vec4 neighborPixelCoord = vec4(gl_FragCoord.x + float(i),\\n                        gl_FragCoord.y + float(j),\\n                        gl_FragCoord.z, gl_FragCoord.w);\\n                      vec3 neighborPosIS = fragCoordToIndexSpace(neighborPixelCoord);\\n                      float value = texture2D(texture1, getSliceCoords(neighborPosIS, sliceAxis)).r;\\n                      if (value != centerValue) {\\n                        pixelOnBorder = true;\\n                        break;\\n                      }\\n                    }\\n                    if (pixelOnBorder == true) {\\n                      break;\\n                    }\\n                  }\\n                  if (pixelOnBorder == true) {\\n                    gl_FragData[0] = vec4(tColor, outlineOpacity);\\n                  }\\n                  else {\\n                    gl_FragData[0] = vec4(tColor, opacityToUse);\\n                  }\\n                #else\\n                  float intensity = texture2D(texture1, tcoordVCVSOutput).r;\\n                  vec3 tcolor = texture2D(colorTexture1, vec2(intensity * cscale0 + cshift0, 0.5)).rgb;\\n                  float scalarOpacity = texture2D(pwfTexture1, vec2(intensity * pwfscale0 + pwfshift0, 0.5)).r;\\n                  gl_FragData[0] = vec4(tcolor, scalarOpacity * opacity);\\n                #endif\\n                &quot;)]).result;break;case 2:i=vd.substitute(i,&quot;//VTK::TCoord::Impl&quot;,[&quot;vec4 tcolor = texture2D(texture1, tcoordVCVSOutput);&quot;,&quot;float intensity = tcolor.r*cscale0 + cshift0;&quot;,&quot;gl_FragData[0] = vec4(texture2D(colorTexture1, vec2(intensity, 0.5)).rgb, pwfscale0*tcolor.g + pwfshift0);&quot;]).result;break;case 3:i=vd.substitute(i,&quot;//VTK::TCoord::Impl&quot;,[&quot;vec4 tcolor = cscale0*texture2D(texture1, tcoordVCVSOutput.st) + cshift0;&quot;,&quot;gl_FragData[0] = vec4(texture2D(colorTexture1, vec2(tcolor.r,0.5)).r,&quot;,&quot;  texture2D(colorTexture1, vec2(tcolor.g,0.5)).r,&quot;,&quot;  texture2D(colorTexture1, vec2(tcolor.b,0.5)).r, opacity);&quot;]).result;break;default:i=vd.substitute(i,&quot;//VTK::TCoord::Impl&quot;,[&quot;vec4 tcolor = cscale0*texture2D(texture1, tcoordVCVSOutput.st) + cshift0;&quot;,&quot;gl_FragData[0] = vec4(texture2D(colorTexture1, vec2(tcolor.r,0.5)).r,&quot;,&quot;  texture2D(colorTexture1, vec2(tcolor.g,0.5)).r,&quot;,&quot;  texture2D(colorTexture1, vec2(tcolor.b,0.5)).r, tcolor.a);&quot;]).result}t.haveSeenDepthRequest&amp;&amp;(i=vd.substitute(i,&quot;//VTK::ZBuffer::Dec&quot;,&quot;uniform int depthRequest;&quot;).result,i=vd.substitute(i,&quot;//VTK::ZBuffer::Impl&quot;,[&quot;if (depthRequest == 1) {&quot;,&quot;float iz = floor(gl_FragCoord.z*65535.0 + 0.1);&quot;,&quot;float rf = floor(iz/256.0)/255.0;&quot;,&quot;float gf = mod(iz,256.0)/255.0;&quot;,&quot;gl_FragData[0] = vec4(rf, gf, 0.0, 1.0); }&quot;]).result),n.Vertex=a,n.Fragment=i,e.replaceShaderClip(n,r,o),e.replaceShaderCoincidentOffset(n,r,o)},e.replaceShaderClip=(e,n,r)=&gt;{let o=e.Vertex,a=e.Fragment;if(t.renderable.getNumberOfClippingPlanes()){let e=t.renderable.getNumberOfClippingPlanes();e&gt;6&amp;&amp;(Tt(&quot;OpenGL has a limit of 6 clipping planes&quot;),e=6),o=vd.substitute(o,&quot;//VTK::Clip::Dec&quot;,[&quot;uniform int numClipPlanes;&quot;,&quot;uniform vec4 clipPlanes[6];&quot;,&quot;varying float clipDistancesVSOutput[6];&quot;]).result,o=vd.substitute(o,&quot;//VTK::Clip::Impl&quot;,[&quot;for (int planeNum = 0; planeNum &lt; 6; planeNum++)&quot;,&quot;    {&quot;,&quot;    if (planeNum &gt;= numClipPlanes)&quot;,&quot;        {&quot;,&quot;        break;&quot;,&quot;        }&quot;,&quot;    clipDistancesVSOutput[planeNum] = dot(clipPlanes[planeNum], vertexMC);&quot;,&quot;    }&quot;]).result,a=vd.substitute(a,&quot;//VTK::Clip::Dec&quot;,[&quot;uniform int numClipPlanes;&quot;,&quot;varying float clipDistancesVSOutput[6];&quot;]).result,a=vd.substitute(a,&quot;//VTK::Clip::Impl&quot;,[&quot;for (int planeNum = 0; planeNum &lt; 6; planeNum++)&quot;,&quot;    {&quot;,&quot;    if (planeNum &gt;= numClipPlanes)&quot;,&quot;        {&quot;,&quot;        break;&quot;,&quot;        }&quot;,&quot;    if (clipDistancesVSOutput[planeNum] &lt; 0.0) discard;&quot;,&quot;    }&quot;]).result}e.Vertex=o,e.Fragment=a},e.getNeedToRebuildShaders=(e,n,r)=&gt;{const o=t.openGLTexture.getComponents(),a=r.getProperty().getIndependentComponents();let i=!1;return(!t.currentRenderPass&amp;&amp;t.lastRenderPassShaderReplacement||t.currentRenderPass&amp;&amp;t.currentRenderPass.getShaderReplacement()!==t.lastRenderPassShaderReplacement)&amp;&amp;(i=!0),!!(i||t.lastHaveSeenDepthRequest!==t.haveSeenDepthRequest||0===e.getProgram()?.getHandle()||e.getShaderSourceTime().getMTime()&lt;t.renderable.getMTime()||e.getShaderSourceTime().getMTime()&lt;t.currentInput.getMTime()||e.getShaderSourceTime().getMTime()&lt;r.getProperty().getMTime()||t.lastTextureComponents!==o||t.lastIndependentComponents!==a)&amp;&amp;(t.lastHaveSeenDepthRequest=t.haveSeenDepthRequest,t.lastTextureComponents=o,t.lastIndependentComponents=a,!0)},e.updateShaders=(n,r,o)=&gt;{if(t.lastBoundBO=n,e.getNeedToRebuildShaders(n,r,o)){const a={Vertex:null,Fragment:null,Geometry:null};e.buildShaders(a,r,o);const i=t._openGLRenderWindow.getShaderCache().readyShaderProgramArray(a.Vertex,a.Fragment,a.Geometry);i!==n.getProgram()&amp;&amp;(n.setProgram(i),n.getVAO().releaseGraphicsResources()),n.getShaderSourceTime().modified()}else t._openGLRenderWindow.getShaderCache().readyShaderProgram(n.getProgram());n.getVAO().bind(),e.setMapperShaderParameters(n,r,o),e.setCameraShaderParameters(n,r,o),e.setPropertyShaderParameters(n,r,o)},e.setMapperShaderParameters=(n,r,o)=&gt;{n.getCABO().getElementCount()&amp;&amp;(t.VBOBuildTime&gt;n.getAttributeUpdateTime().getMTime()||n.getShaderSourceTime().getMTime()&gt;n.getAttributeUpdateTime().getMTime())&amp;&amp;(n.getProgram().isAttributeUsed(&quot;vertexMC&quot;)&amp;&amp;(n.getVAO().addAttributeArray(n.getProgram(),n.getCABO(),&quot;vertexMC&quot;,n.getCABO().getVertexOffset(),n.getCABO().getStride(),t.context.FLOAT,3,t.context.FALSE)||$f(&quot;Error setting vertexMC in shader VAO.&quot;)),n.getProgram().isAttributeUsed(&quot;tcoordMC&quot;)&amp;&amp;n.getCABO().getTCoordOffset()&amp;&amp;(n.getVAO().addAttributeArray(n.getProgram(),n.getCABO(),&quot;tcoordMC&quot;,n.getCABO().getTCoordOffset(),n.getCABO().getStride(),t.context.FLOAT,n.getCABO().getTCoordComponents(),t.context.FALSE)||$f(&quot;Error setting tcoordMC in shader VAO.&quot;)),n.getAttributeUpdateTime().modified());const a=t.openGLTexture.getTextureUnit();n.getProgram().setUniformi(&quot;texture1&quot;,a);const i=t.openGLTexture.getComponents(),s=o.getProperty().getIndependentComponents();if(s)for(let e=0;e&lt;i;e++)n.getProgram().setUniformf(`mix${e}`,o.getProperty().getComponentWeight(e));const l=t.openGLTexture.getShiftAndScale();for(let e=0;e&lt;i;e++){let t=o.getProperty().getColorWindow(),r=o.getProperty().getColorLevel();const a=s?e:0,i=o.getProperty().getRGBTransferFunction(a);if(i&amp;&amp;o.getProperty().getUseLookupTableScalarRange()){const e=i.getRange();t=e[1]-e[0],r=.5*(e[1]+e[0])}const c=l.scale/t,u=(l.shift-r)/t+.5;n.getProgram().setUniformf(`cshift${e}`,u),n.getProgram().setUniformf(`cscale${e}`,c)}for(let e=0;e&lt;i;e++){let t=1,r=0;const a=s?e:0,i=o.getProperty().getPiecewiseFunction(a);if(i){const e=i.getRange(),n=e[1]-e[0],o=.5*(e[0]+e[1]);t=l.scale/n,r=(l.shift-o)/n+.5}n.getProgram().setUniformf(`pwfshift${e}`,r),n.getProgram().setUniformf(`pwfscale${e}`,t)}if(t.haveSeenDepthRequest&amp;&amp;n.getProgram().setUniformi(&quot;depthRequest&quot;,t.renderDepth?1:0),n.getProgram().isUniformUsed(&quot;coffset&quot;)){const t=e.getCoincidentParameters(r,o);n.getProgram().setUniformf(&quot;coffset&quot;,t.offset),n.getProgram().isUniformUsed(&quot;cfactor&quot;)&amp;&amp;n.getProgram().setUniformf(&quot;cfactor&quot;,t.factor)}const c=t.colorTexture.getTextureUnit();n.getProgram().setUniformi(&quot;colorTexture1&quot;,c);const u=t.pwfTexture.getTextureUnit();if(n.getProgram().setUniformi(&quot;pwfTexture1&quot;,u),o.getProperty().getUseLabelOutline()){const e=t.labelOutlineThicknessTexture.getTextureUnit();n.getProgram().setUniformi(&quot;labelOutlineTexture1&quot;,e);const r=t.labelOutlineOpacityTexture.getTextureUnit();n.getProgram().setUniformi(&quot;labelOutlineOpacityTexture1&quot;,r)}if(t.renderable.getNumberOfClippingPlanes()){let e=t.renderable.getNumberOfClippingPlanes();e&gt;6&amp;&amp;(Tt(&quot;OpenGL has a limit of 6 clipping planes&quot;),e=6);const r=n.getCABO().getCoordShiftAndScaleEnabled()?n.getCABO().getInverseShiftAndScaleMatrix():null,a=r?T(t.imagematinv,o.getMatrix()):o.getMatrix();r&amp;&amp;(y(a,a),A(a,a,r),y(a,a)),y(t.imagemat,t.currentInput.getIndexToWorld()),A(t.imagematinv,a,t.imagemat);const i=[];for(let n=0;n&lt;e;n++){const e=[];t.renderable.getClippingPlaneInDataCoords(t.imagematinv,n,e);for(let t=0;t&lt;4;t++)i.push(e[t])}n.getProgram().setUniformi(&quot;numClipPlanes&quot;,e),n.getProgram().setUniform4fv(&quot;clipPlanes&quot;,i)}},e.setCameraShaderParameters=(n,r,o)=&gt;{const a=n.getProgram(),i=t.openGLImageSlice.getKeyMatrices(),s=t.currentInput,l=s.getIndexToWorld();A(t.imagemat,i.mcwc,l);const c=t.openGLCamera.getKeyMatrices(r);if(A(t.imagemat,c.wcpc,t.imagemat),n.getCABO().getCoordShiftAndScaleEnabled()){const e=n.getCABO().getInverseShiftAndScaleMatrix();A(t.imagemat,t.imagemat,e)}if(a.setUniformMatrix(&quot;MCPCMatrix&quot;,t.imagemat),!0===o.getProperty().getUseLabelOutline()){const n=s.getWorldToIndex(),o=s.getDimensions();let i=t.renderable.getClosestIJKAxis().ijkMode;i===eg.NONE&amp;&amp;(i=eg.K),a.setUniform3i(&quot;imageDimensions&quot;,o[0],o[1],o[2]),a.setUniformi(&quot;sliceAxis&quot;,i),a.setUniformMatrix(&quot;vWCtoIDX&quot;,n);const l=t.openGLCamera.getKeyMatrices(r);b(t.projectionToWorld,l.wcpc),t.openGLCamera.getKeyMatrices(r),a.setUniformMatrix(&quot;PCWCMatrix&quot;,t.projectionToWorld);const c=e.getRenderTargetSize();a.setUniformf(&quot;vpWidth&quot;,c[0]),a.setUniformf(&quot;vpHeight&quot;,c[1]);const u=e.getRenderTargetOffset();a.setUniformf(&quot;vpOffsetX&quot;,u[0]/c[0]),a.setUniformf(&quot;vpOffsetY&quot;,u[1]/c[1])}},e.setPropertyShaderParameters=(e,t,n)=&gt;{const r=e.getProgram(),o=n.getProperty().getOpacity();r.setUniformf(&quot;opacity&quot;,o)},e.renderPieceStart=(n,r)=&gt;{e.updateBufferObjects(n,r),t.lastBoundBO=null},e.renderPieceDraw=(n,r)=&gt;{const o=t.context;t.openGLTexture.activate(),t.colorTexture.activate(),r.getProperty().getUseLabelOutline()&amp;&amp;(t.labelOutlineThicknessTexture.activate(),t.labelOutlineOpacityTexture.activate()),t.pwfTexture.activate(),t.tris.getCABO().getElementCount()&amp;&amp;(e.updateShaders(t.tris,n,r),o.drawArrays(o.TRIANGLES,0,t.tris.getCABO().getElementCount()),t.tris.getVAO().release()),t.openGLTexture.deactivate(),t.colorTexture.deactivate(),r.getProperty().getUseLabelOutline()&amp;&amp;(t.labelOutlineThicknessTexture.deactivate(),t.labelOutlineOpacityTexture.deactivate()),t.pwfTexture.deactivate()},e.renderPieceFinish=(e,t)=&gt;{},e.renderPiece=(n,r)=&gt;{e.invokeEvent({type:&quot;StartEvent&quot;}),t.renderable.update(),t.currentInput=t.renderable.getCurrentImage(),e.invokeEvent({type:&quot;EndEvent&quot;}),t.currentInput?(e.renderPieceStart(n,r),e.renderPieceDraw(n,r),e.renderPieceFinish(n,r)):$f(&quot;No input!&quot;)},e.updateBufferObjects=(t,n)=&gt;{e.getNeedToRebuildBufferObjects(t,n)&amp;&amp;e.buildBufferObjects(t,n)},e.getNeedToRebuildBufferObjects=(n,r)=&gt;t.VBOBuildTime.getMTime()&lt;e.getMTime()||t.VBOBuildTime.getMTime()&lt;r.getMTime()||t.VBOBuildTime.getMTime()&lt;t.renderable.getMTime()||t.VBOBuildTime.getMTime()&lt;r.getProperty().getMTime()||t.VBOBuildTime.getMTime()&lt;t.currentInput.getMTime()||!t.openGLTexture?.getHandle()||!t.colorTexture?.getHandle()||r.getProperty().getUseLabelOutline()&amp;&amp;(!t.labelOutlineThicknessTexture?.getHandle()||!t.labelOutlineOpacityTexture?.getHandle())||!t.pwfTexture?.getHandle(),e.buildBufferObjects=(n,r)=&gt;{const o=t.currentInput;if(!o)return;const a=o.getPointData()&amp;&amp;o.getPointData().getScalars();if(!a)return;const i=a.getDataType(),s=a.getNumberOfComponents(),l=r.getProperty(),c=l.getInterpolationType(),u=l.getIndependentComponents(),d=u?s:1,p=u?2*d:1,f=[];for(let e=0;e&lt;d;++e)f.push(l.getRGBTransferFunction(e));const g=zf(f,u,d),m=l.getRGBTransferFunction(),h=t._openGLRenderWindow.getGraphicsResourceForObject(m);if(h?.oglObject?.getHandle()&amp;&amp;h?.hash===g)t.colorTexture=h.oglObject;else{t.colorTexture=Hd.newInstance({resizable:!0}),t.colorTexture.setOpenGLRenderWindow(t._openGLRenderWindow);let n=t.renderable.getColorTextureWidth();n&lt;=0&amp;&amp;(n=t.context.getParameter(t.context.MAX_TEXTURE_SIZE));const r=new Uint8ClampedArray(n*p*3);if(c===Hf.NEAREST?(t.colorTexture.setMinificationFilter(wd.NEAREST),t.colorTexture.setMagnificationFilter(wd.NEAREST)):(t.colorTexture.setMinificationFilter(wd.LINEAR),t.colorTexture.setMagnificationFilter(wd.LINEAR)),m){const e=new Float32Array(3*n);for(let t=0;t&lt;d;t++){const o=l.getRGBTransferFunction(t),a=o.getRange();if(o.getTable(a[0],a[1],n,e,1),u)for(let o=0;o&lt;3*n;o++)r[t*n*6+o]=255*e[o],r[t*n*6+o+3*n]=255*e[o];else for(let o=0;o&lt;3*n;o++)r[t*n*6+o]=255*e[o]}t.colorTexture.resetFormatAndType(),t.colorTexture.create2DFromRaw({width:n,height:p,numComps:3,dataType:ms.UNSIGNED_CHAR,data:r})}else{for(let e=0;e&lt;3*n;++e)r[e]=255*e/(3*(n-1)),r[e+1]=255*e/(3*(n-1)),r[e+2]=255*e/(3*(n-1));t.colorTexture.create2DFromRaw({width:n,height:1,numComps:3,dataType:ms.UNSIGNED_CHAR,data:r})}m&amp;&amp;(t._openGLRenderWindow.setGraphicsResourceForObject(m,t.colorTexture,g),m!==t._colorTransferFunc&amp;&amp;(t._openGLRenderWindow.registerGraphicsResourceUser(m,e),t._openGLRenderWindow.unregisterGraphicsResourceUser(t._colorTransferFunc,e)),t._colorTransferFunc=m)}const v=[];for(let e=0;e&lt;d;++e)v.push(l.getPiecewiseFunction(e));const T=zf(v,u,d),x=l.getPiecewiseFunction(),y=t._openGLRenderWindow.getGraphicsResourceForObject(x);if(y?.oglObject?.getHandle()&amp;&amp;y?.hash===T)t.pwfTexture=y.oglObject;else{let n=t.renderable.getOpacityTextureWidth();n&lt;=0&amp;&amp;(n=t.context.getParameter(t.context.MAX_TEXTURE_SIZE));const r=n*p,o=new Uint8ClampedArray(r);if(t.pwfTexture=Hd.newInstance({resizable:!0}),t.pwfTexture.setOpenGLRenderWindow(t._openGLRenderWindow),c===Hf.NEAREST?(t.pwfTexture.setMinificationFilter(wd.NEAREST),t.pwfTexture.setMagnificationFilter(wd.NEAREST)):(t.pwfTexture.setMinificationFilter(wd.LINEAR),t.pwfTexture.setMagnificationFilter(wd.LINEAR)),x){const e=new Float32Array(r),o=new Float32Array(n);for(let t=0;t&lt;d;++t){const r=l.getPiecewiseFunction(t);if(null===r)e.fill(1);else{const a=r.getRange();if(r.getTable(a[0],a[1],n,o,1),u)for(let r=0;r&lt;n;r++)e[t*n*2+r]=o[r],e[t*n*2+r+n]=o[r];else for(let r=0;r&lt;n;r++)e[t*n*2+r]=o[r]}}t.pwfTexture.resetFormatAndType(),t.pwfTexture.create2DFromRaw({width:n,height:p,numComps:1,dataType:ms.FLOAT,data:e})}else o.fill(255),t.pwfTexture.create2DFromRaw({width:n,height:1,numComps:1,dataType:ms.UNSIGNED_CHAR,data:o});x&amp;&amp;(t._openGLRenderWindow.setGraphicsResourceForObject(x,t.pwfTexture,T),x!==t._pwFunc&amp;&amp;(t._openGLRenderWindow.registerGraphicsResourceUser(x,e),t._openGLRenderWindow.unregisterGraphicsResourceUser(t._pwFunc,e)),t._pwFunc=x)}r.getProperty().getUseLabelOutline()&amp;&amp;(e.updatelabelOutlineThicknessTexture(r),e.updateLabelOutlineOpacityTexture(r));const{ijkMode:b}=t.renderable.getClosestIJKAxis();let A=t.renderable.getSlice();b!==t.renderable.getSlicingMode()&amp;&amp;(A=t.renderable.getSliceAtPosition(A));const C=t.renderable.isA(&quot;vtkImageArrayMapper&quot;)?t.renderable.getSubSlice():Math.round(A),S=o.getExtent();let P;b===eg.I&amp;&amp;(P=C-S[0]),b===eg.J&amp;&amp;(P=C-S[2]),b!==eg.K&amp;&amp;b!==eg.NONE||(P=C-S[4]);const w=`${A}A${o.getMTime()}A${a.getMTime()}B${e.getMTime()}C${t.renderable.getSlicingMode()}D${r.getProperty().getInterpolationType()}`;if(t.VBOBuildString!==w){const e=o.getDimensions();t.openGLTexture||(t.openGLTexture=Hd.newInstance({resizable:!0})),t.openGLTexture.setOpenGLRenderWindow(t._openGLRenderWindow),t.openGLTexture.setOglNorm16Ext(t.context.getExtension(&quot;EXT_texture_norm16&quot;)),c===Hf.NEAREST?(new Set([1,3,4]).has(s)&amp;&amp;i===ms.UNSIGNED_CHAR&amp;&amp;!u?(t.openGLTexture.setGenerateMipmap(!0),t.openGLTexture.setMinificationFilter(wd.NEAREST)):t.openGLTexture.setMinificationFilter(wd.NEAREST),t.openGLTexture.setMagnificationFilter(wd.NEAREST)):(4!==s||i!==ms.UNSIGNED_CHAR||u?t.openGLTexture.setMinificationFilter(wd.LINEAR):(t.openGLTexture.setGenerateMipmap(!0),t.openGLTexture.setMinificationFilter(wd.LINEAR_MIPMAP_LINEAR)),t.openGLTexture.setMagnificationFilter(wd.LINEAR)),t.openGLTexture.setWrapS(Pd.CLAMP_TO_EDGE),t.openGLTexture.setWrapT(Pd.CLAMP_TO_EDGE);const n=e[0]*e[1]*s,r=new Float32Array(12),l=new Float32Array(8);for(let e=0;e&lt;4;e++)l[2*e]=e%2?1:0,l[2*e+1]=e&gt;1?1:0;const d=[eg.X,eg.Y,eg.Z].includes(t.renderable.getSlicingMode())?A:C,p=o.getSpatialExtent(),f=a.getData();let g=null;if(b===eg.I){g=new f.constructor(e[2]*e[1]*s);let t=0;for(let n=0;n&lt;e[2];n++)for(let r=0;r&lt;e[1];r++){let o=(P+r*e[0]+n*e[0]*e[1])*s;t=(n*e[1]+r)*s;const a=o+s;for(;o&lt;a;)g[t++]=f[o++]}e[0]=e[1],e[1]=e[2],r[0]=d,r[1]=p[2],r[2]=p[4],r[3]=d,r[4]=p[3],r[5]=p[4],r[6]=d,r[7]=p[2],r[8]=p[5],r[9]=d,r[10]=p[3],r[11]=p[5]}else if(b===eg.J){g=new f.constructor(e[2]*e[0]*s);let t=0;for(let n=0;n&lt;e[2];n++)for(let r=0;r&lt;e[0];r++){let o=(r+P*e[0]+n*e[0]*e[1])*s;t=(n*e[0]+r)*s;const a=o+s;for(;o&lt;a;)g[t++]=f[o++]}e[1]=e[2],r[0]=p[0],r[1]=d,r[2]=p[4],r[3]=p[1],r[4]=d,r[5]=p[4],r[6]=p[0],r[7]=d,r[8]=p[5],r[9]=p[1],r[10]=d,r[11]=p[5]}else b===eg.K||b===eg.NONE?(g=f.subarray(P*n,(P+1)*n),r[0]=p[0],r[1]=p[2],r[2]=d,r[3]=p[1],r[4]=p[2],r[5]=d,r[6]=p[0],r[7]=p[3],r[8]=d,r[9]=p[1],r[10]=p[3],r[11]=d):$f(&quot;Reformat slicing not yet supported.&quot;);const m=a.getRanges();t.openGLTexture.resetFormatAndType(),t.openGLTexture.create2DFilterableFromRaw({width:e[0],height:e[1],numComps:s,dataType:a.getDataType(),data:g,preferSizeOverAccuracy:!!t.renderable.getPreferSizeOverAccuracy?.(),ranges:m}),t.openGLTexture.activate(),t.openGLTexture.sendParameters(),t.openGLTexture.deactivate();const h=Is.newInstance({numberOfComponents:3,values:r});h.setName(&quot;points&quot;);const v=Is.newInstance({numberOfComponents:2,values:l});v.setName(&quot;tcoords&quot;);const T=new Uint16Array(8);T[0]=3,T[1]=0,T[2]=1,T[3]=3,T[4]=3,T[5]=0,T[6]=3,T[7]=2;const x=Is.newInstance({numberOfComponents:1,values:T});t.tris.getCABO().createVBO(x,&quot;polys&quot;,rs.SURFACE,{points:h,tcoords:v,cellOffset:0}),t.VBOBuildTime.modified(),t.VBOBuildString=w}},e.updateLabelOutlineOpacityTexture=n=&gt;{let r=n.getProperty().getLabelOutlineOpacity();&quot;number&quot;==typeof r&amp;&amp;(r=t._cachedLabelOutlineOpacityObj?.[0]===r?t._cachedLabelOutlineOpacityObj:[r],t._cachedLabelOutlineOpacityObj=r);const o=t._openGLRenderWindow.getGraphicsResourceForObject(r),a=`${r.join(&quot;-&quot;)}`;if(o?.oglObject?.getHandle()&amp;&amp;o?.hash===a)t.labelOutlineOpacityTexture=o.oglObject;else{let n=t.renderable.getLabelOutlineTextureWidth();n&lt;=0&amp;&amp;(n=t.context.getParameter(t.context.MAX_TEXTURE_SIZE));const o=1,i=new Float32Array(n*o);for(let e=0;e&lt;n;++e)i[e]=r[e]??r[0];t.labelOutlineOpacityTexture=Hd.newInstance({resizable:!1}),t.labelOutlineOpacityTexture.setOpenGLRenderWindow(t._openGLRenderWindow),t.labelOutlineOpacityTexture.resetFormatAndType(),t.labelOutlineOpacityTexture.setMinificationFilter(wd.NEAREST),t.labelOutlineOpacityTexture.setMagnificationFilter(wd.NEAREST),t.labelOutlineOpacityTexture.create2DFromRaw({width:n,height:o,numComps:1,dataType:ms.FLOAT,data:i}),r&amp;&amp;(t._openGLRenderWindow.setGraphicsResourceForObject(r,t.labelOutlineOpacityTexture,a),r!==t._labelOutlineOpacity&amp;&amp;(t._openGLRenderWindow.registerGraphicsResourceUser(r,e),t._openGLRenderWindow.unregisterGraphicsResourceUser(t._labelOutlineOpacity,e)),t._labelOutlineOpacity=r)}},e.updatelabelOutlineThicknessTexture=n=&gt;{const r=n.getProperty().getLabelOutlineThicknessByReference(),o=t._openGLRenderWindow.getGraphicsResourceForObject(r),a=`${r.join(&quot;-&quot;)}`;if(o?.oglObject?.getHandle()&amp;&amp;o?.hash===a)t.labelOutlineThicknessTexture=o.oglObject;else{let n=t.renderable.getLabelOutlineTextureWidth();n&lt;=0&amp;&amp;(n=t.context.getParameter(t.context.MAX_TEXTURE_SIZE));const o=1,i=new Uint8Array(n*o);for(let e=0;e&lt;n;++e){const t=void 0!==r[e]?r[e]:r[0];i[e]=t}t.labelOutlineThicknessTexture=Hd.newInstance({resizable:!1}),t.labelOutlineThicknessTexture.setOpenGLRenderWindow(t._openGLRenderWindow),t.labelOutlineThicknessTexture.resetFormatAndType(),t.labelOutlineThicknessTexture.setMinificationFilter(wd.NEAREST),t.labelOutlineThicknessTexture.setMagnificationFilter(wd.NEAREST),t.labelOutlineThicknessTexture.create2DFromRaw({width:n,height:o,numComps:1,dataType:ms.UNSIGNED_CHAR,data:i}),r&amp;&amp;(t._openGLRenderWindow.setGraphicsResourceForObject(r,t.labelOutlineThicknessTexture,a),r!==t._labelOutlineThicknessArray&amp;&amp;(t._openGLRenderWindow.registerGraphicsResourceUser(r,e),t._openGLRenderWindow.unregisterGraphicsResourceUser(t._labelOutlineThicknessArray,e)),t._labelOutlineThicknessArray=r)}},e.getRenderTargetSize=()=&gt;{if(t._useSmallViewport)return[t._smallViewportWidth,t._smallViewportHeight];const{usize:e,vsize:n}=t._openGLRenderer.getTiledSizeAndOrigin();return[e,n]},e.getRenderTargetOffset=()=&gt;{const{lowerLeftU:e,lowerLeftV:n}=t._openGLRenderer.getTiledSizeAndOrigin();return[e,n]},e.delete=qt((()=&gt;{t._openGLRenderWindow&amp;&amp;n(t._openGLRenderWindow)}),e.delete)}(e,t)}),&quot;vtkOpenGLImageMapper&quot;);vn(&quot;vtkAbstractImageMapper&quot;,rg);const og=0,ag=1,ig=2,{vtkErrorMacro:sg}=sn;const lg={currentRenderPass:null,volumeTexture:null,colorTexture:null,pwfTexture:null,tris:null,lastHaveSeenDepthRequest:!1,haveSeenDepthRequest:!1,lastTextureComponents:0,lastIndependentComponents:0,imagemat:null,imagematinv:null};const cg=sn.newInstance((function(e,t,n={}){Object.assign(t,lg,n),pn.extend(e,t,n),qd.implementReplaceShaderCoincidentOffset(e,t,n),sn.algo(e,t,2,0),t.tris=Sd.newInstance(),t.volumeTexture=null,t.colorTexture=null,t.pwfTexture=null,t.imagemat=x(new Float64Array(16)),t.imagematinv=x(new Float64Array(16)),t.VBOBuildTime={},sn.obj(t.VBOBuildTime,{mtime:0}),function(e,t){function n(n){[t._scalars,t._colorTransferFunc,t._pwFunc].forEach((t=&gt;n.unregisterGraphicsResourceUser(t,e)))}t.classHierarchy.push(&quot;vtkOpenGLImageCPRMapper&quot;),e.buildPass=r=&gt;{if(r){t.currentRenderPass=null,t.openGLImageSlice=e.getFirstAncestorOfType(&quot;vtkOpenGLImageSlice&quot;),t._openGLRenderer=e.getFirstAncestorOfType(&quot;vtkOpenGLRenderer&quot;);const r=t._openGLRenderWindow;t._openGLRenderWindow=t._openGLRenderer.getLastAncestorOfType(&quot;vtkOpenGLRenderWindow&quot;),r&amp;&amp;!r.isDeleted()&amp;&amp;r!==t._openGLRenderWindow&amp;&amp;n(r),t.context=t._openGLRenderWindow.getContext(),t.openGLCamera=t._openGLRenderer.getViewNodeFor(t._openGLRenderer.getRenderable().getActiveCamera(),t.openGLCamera),t.tris.setOpenGLRenderWindow(t._openGLRenderWindow)}},e.opaquePass=(n,r)=&gt;{n&amp;&amp;(t.currentRenderPass=r,e.render())},e.opaqueZBufferPass=n=&gt;{n&amp;&amp;(t.haveSeenDepthRequest=!0,t.renderDepth=!0,e.render(),t.renderDepth=!1)},e.getCoincidentParameters=(e,n)=&gt;t.renderable.getResolveCoincidentTopology()===Pl.PolygonOffset?t.renderable.getCoincidentTopologyPolygonOffsetParameters():null,e.render=()=&gt;{const n=t.openGLImageSlice.getRenderable(),r=t._openGLRenderer.getRenderable();e.renderPiece(r,n)},e.renderPiece=(n,r)=&gt;{e.invokeEvent({type:&quot;StartEvent&quot;}),t.renderable.update(),e.invokeEvent({type:&quot;EndEvent&quot;}),t.renderable.preRenderCheck()&amp;&amp;(t.currentImageDataInput=t.renderable.getInputData(0),t.currentCenterlineInput=t.renderable.getOrientedCenterline(),e.renderPieceStart(n,r),e.renderPieceDraw(n,r),e.renderPieceFinish(n,r))},e.renderPieceStart=(t,n)=&gt;{e.updateBufferObjects(t,n)},e.renderPieceDraw=(n,r)=&gt;{const o=t.context;t.volumeTexture.activate(),t.colorTexture.activate(),t.pwfTexture.activate(),t.tris.getCABO().getElementCount()&amp;&amp;(e.updateShaders(t.tris,n,r),o.drawArrays(o.TRIANGLES,0,t.tris.getCABO().getElementCount()),t.tris.getVAO().release()),t.volumeTexture.deactivate(),t.colorTexture.deactivate(),t.pwfTexture.deactivate()},e.renderPieceFinish=(e,t)=&gt;{},e.updateBufferObjects=(n,r)=&gt;{e.getNeedToRebuildBufferObjects(n,r)&amp;&amp;e.buildBufferObjects(n,r),r.getProperty().getInterpolationType()===Hf.NEAREST?(t.volumeTexture.setMinificationFilter(wd.NEAREST),t.volumeTexture.setMagnificationFilter(wd.NEAREST),t.colorTexture.setMinificationFilter(wd.NEAREST),t.colorTexture.setMagnificationFilter(wd.NEAREST),t.pwfTexture.setMinificationFilter(wd.NEAREST),t.pwfTexture.setMagnificationFilter(wd.NEAREST)):(t.volumeTexture.setMinificationFilter(wd.LINEAR),t.volumeTexture.setMagnificationFilter(wd.LINEAR),t.colorTexture.setMinificationFilter(wd.LINEAR),t.colorTexture.setMagnificationFilter(wd.LINEAR),t.pwfTexture.setMinificationFilter(wd.LINEAR),t.pwfTexture.setMagnificationFilter(wd.LINEAR))},e.getNeedToRebuildBufferObjects=(n,r)=&gt;{const o=t.VBOBuildTime.getMTime();return o&lt;e.getMTime()||o&lt;t.renderable.getMTime()||o&lt;r.getMTime()||o&lt;t.currentImageDataInput.getMTime()||o&lt;t.currentCenterlineInput.getMTime()||!t.volumeTexture?.getHandle()},e.buildBufferObjects=(n,r)=&gt;{const o=t.currentImageDataInput,a=t.currentCenterlineInput,i=r.getProperty(),s=o?.getPointData()?.getScalars();if(!s)return;const l=t._openGLRenderWindow.getGraphicsResourceForObject(s),c=Wf(0,s),u=!l?.oglObject?.getHandle()||l?.hash!==c,d=i.getUpdatedExtents(),p=!!d.length;if(u){t.volumeTexture=Hd.newInstance(),t.volumeTexture.setOpenGLRenderWindow(t._openGLRenderWindow);const n=o.getDimensions();t.volumeTexture.setOglNorm16Ext(t.context.getExtension(&quot;EXT_texture_norm16&quot;)),t.volumeTexture.resetFormatAndType(),t.volumeTexture.create3DFilterableFromDataArray({width:n[0],height:n[1],depth:n[2],dataArray:s,preferSizeOverAccuracy:t.renderable.getPreferSizeOverAccuracy()}),t._openGLRenderWindow.setGraphicsResourceForObject(s,t.volumeTexture,c),s!==t._scalars&amp;&amp;(t._openGLRenderWindow.registerGraphicsResourceUser(s,e),t._openGLRenderWindow.unregisterGraphicsResourceUser(t._scalars,e)),t._scalars=s}else t.volumeTexture=l.oglObject;if(p){i.setUpdatedExtents([]);const e=o.getDimensions();t.volumeTexture.create3DFilterableFromDataArray({width:e[0],height:e[1],depth:e[2],dataArray:s,updatedExtents:d})}const f=s.getNumberOfComponents(),g=r.getProperty(),m=g.getIndependentComponents(),h=m?f:1,v=m?2*h:1,T=[];for(let e=0;e&lt;h;++e)T.push(g.getRGBTransferFunction(e));const x=zf(T,m,h),y=g.getRGBTransferFunction(),b=t._openGLRenderWindow.getGraphicsResourceForObject(y);if(b?.oglObject?.getHandle()&amp;&amp;b?.hash===x)t.colorTexture=b.oglObject;else{let n=t.renderable.getColorTextureWidth();n&lt;=0&amp;&amp;(n=t.context.getParameter(t.context.MAX_TEXTURE_SIZE));const r=new Uint8ClampedArray(n*v*3);if(t.colorTexture=Hd.newInstance(),t.colorTexture.setOpenGLRenderWindow(t._openGLRenderWindow),y){const e=new Float32Array(3*n);for(let t=0;t&lt;h;t++){const o=g.getRGBTransferFunction(t),a=o.getRange();if(o.getTable(a[0],a[1],n,e,1),m)for(let o=0;o&lt;3*n;o++)r[t*n*6+o]=255*e[o],r[t*n*6+o+3*n]=255*e[o];else for(let o=0;o&lt;3*n;o++)r[t*n*6+o]=255*e[o]}t.colorTexture.resetFormatAndType(),t.colorTexture.create2DFromRaw({width:n,height:v,numComps:3,dataType:ms.UNSIGNED_CHAR,data:r})}else{for(let e=0;e&lt;3*n;++e)r[e]=255*e/(3*(n-1)),r[e+1]=255*e/(3*(n-1)),r[e+2]=255*e/(3*(n-1));t.colorTexture.resetFormatAndType(),t.colorTexture.create2DFromRaw({width:n,height:1,numComps:3,dataType:ms.UNSIGNED_CHAR,data:r})}y&amp;&amp;(t._openGLRenderWindow.setGraphicsResourceForObject(y,t.colorTexture,x),y!==t._colorTransferFunc&amp;&amp;(t._openGLRenderWindow.registerGraphicsResourceUser(y,e),t._openGLRenderWindow.unregisterGraphicsResourceUser(t._colorTransferFunc,e)),t._colorTransferFunc=y)}const A=[];for(let e=0;e&lt;h;++e)A.push(g.getPiecewiseFunction(e));const C=zf(A,m,h),S=g.getPiecewiseFunction(),P=t._openGLRenderWindow.getGraphicsResourceForObject(S);if(P?.oglObject?.getHandle()&amp;&amp;P?.hash===C)t.pwfTexture=P.oglObject;else{let n=t.renderable.getOpacityTextureWidth();n&lt;=0&amp;&amp;(n=t.context.getParameter(t.context.MAX_TEXTURE_SIZE));const r=n*v,o=new Uint8ClampedArray(r);if(t.pwfTexture=Hd.newInstance(),t.pwfTexture.setOpenGLRenderWindow(t._openGLRenderWindow),S){const e=new Float32Array(r),o=new Float32Array(n);for(let t=0;t&lt;h;++t){const r=g.getPiecewiseFunction(t);if(null===r)e.fill(1);else{const a=r.getRange();if(r.getTable(a[0],a[1],n,o,1),m)for(let r=0;r&lt;n;r++)e[t*n*2+r]=o[r],e[t*n*2+r+n]=o[r];else for(let r=0;r&lt;n;r++)e[t*n*2+r]=o[r]}}t.pwfTexture.resetFormatAndType(),t.pwfTexture.create2DFromRaw({width:n,height:v,numComps:1,dataType:ms.FLOAT,data:e})}else o.fill(255),t.pwfTexture.resetFormatAndType(),t.pwfTexture.create2DFromRaw({width:n,height:1,numComps:1,dataType:ms.UNSIGNED_CHAR,data:o});S&amp;&amp;(t._openGLRenderWindow.setGraphicsResourceForObject(S,t.pwfTexture,C),S!==t._pwFunc&amp;&amp;(t._openGLRenderWindow.registerGraphicsResourceUser(S,e),t._openGLRenderWindow.unregisterGraphicsResourceUser(t._pwFunc,e)),t._pwFunc=S)}if(t.VBOBuildTime.getMTime()&lt;t.renderable.getMTime()||t.VBOBuildTime.getMTime()&lt;a.getMTime()){const e=a.getNumberOfPoints(),n=e&lt;=1?0:e-1,r=a.getDistancesToFirstPoint(),o=t.renderable.getHeight(),i=4*n,s=new Float32Array(3*i),l=t.renderable.getWidth();for(let e=0,t=0;e&lt;n;++e)s.set([0,o-r[e],0],t),t+=3,s.set([l,o-r[e],0],t),t+=3,s.set([l,o-r[e+1],0],t),t+=3,s.set([0,o-r[e+1],0],t),t+=3;const c=Is.newInstance({numberOfComponents:3,values:s});c.setName(&quot;points&quot;);const u=new Uint16Array(5*n);for(let e=0,t=0,r=0;e&lt;n;++e)u.set([4,r+3,r+2,r+1,r],t),t+=5,r+=4;const d=Is.newInstance({numberOfComponents:1,values:u}),p=a.getPoints(),f=new Float32Array(3*i),g=new Array(3),m=new Array(3);for(let e=0,t=0;e&lt;n;++e)p.getPoint(e,g),p.getPoint(e+1,m),f.set(g,t),t+=3,f.set(g,t),t+=3,f.set(m,t),t+=3,f.set(m,t),t+=3;const h=Is.newInstance({numberOfComponents:3,values:f,name:&quot;centerlinePosition&quot;}),v=new Float32Array(i);for(let e=0,t=0;e&lt;n;++e)v.set([0,1,3,2],t),t+=4;const T=[h,Is.newInstance({numberOfComponents:1,values:v,name:&quot;quadIndex&quot;})];if(!t.renderable.getUseUniformOrientation()){const e=t.renderable.getOrientedCenterline().getOrientations()??[],r=new Float32Array(4*i),o=new Float32Array(4*i);for(let t=0;t&lt;n;++t){const n=e[t],a=e[t+1];for(let e=0;e&lt;4;++e){const i=4*(e+4*t);r.set(n,i),o.set(a,i)}}const a=Is.newInstance({numberOfComponents:4,values:r,name:&quot;centerlineTopOrientation&quot;}),s=Is.newInstance({numberOfComponents:4,values:o,name:&quot;centerlineBotOrientation&quot;});T.push(a,s)}t.tris.getCABO().createVBO(d,&quot;polys&quot;,rs.SURFACE,{points:c,customAttributes:T}),t.VBOBuildTime.modified()}},e.getNeedToRebuildShaders=(e,n,r)=&gt;{const o=t.volumeTexture.getComponents(),a=r.getProperty().getIndependentComponents(),i=!!t.renderable.getCenterPoint(),s=t.renderable.getUseUniformOrientation(),l=t.renderable.isProjectionEnabled()&amp;&amp;t.renderable.getProjectionMode();return(0===e.getProgram()||t.lastUseCenterPoint!==i||t.lastUseUniformOrientation!==s||t.lastProjectionMode!==l||t.lastHaveSeenDepthRequest!==t.haveSeenDepthRequest||t.lastTextureComponents!==o||t.lastIndependentComponents!==a)&amp;&amp;(t.lastUseCenterPoint=i,t.lastUseUniformOrientation=s,t.lastProjectionMode=l,t.lastHaveSeenDepthRequest=t.haveSeenDepthRequest,t.lastTextureComponents=o,t.lastIndependentComponents=a,!0)},e.buildShaders=(t,n,r)=&gt;{e.getShaderTemplate(t,n,r),e.replaceShaderValues(t,n,r)},e.replaceShaderValues=(n,r,o)=&gt;{let a=n.Vertex,i=n.Fragment;const s=[&quot;vec3 applyQuaternionToVec(vec4 q, vec3 v) {&quot;,&quot;  float uvx = q.y * v.z - q.z * v.y;&quot;,&quot;  float uvy = q.z * v.x - q.x * v.z;&quot;,&quot;  float uvz = q.x * v.y - q.y * v.x;&quot;,&quot;  float uuvx = q.y * uvz - q.z * uvy;&quot;,&quot;  float uuvy = q.z * uvx - q.x * uvz;&quot;,&quot;  float uuvz = q.x * uvy - q.y * uvx;&quot;,&quot;  float w2 = q.w * 2.0;&quot;,&quot;  uvx *= w2;&quot;,&quot;  uvy *= w2;&quot;,&quot;  uvz *= w2;&quot;,&quot;  uuvx *= 2.0;&quot;,&quot;  uuvy *= 2.0;&quot;,&quot;  uuvz *= 2.0;&quot;,&quot;  return vec3(v.x + uvx + uuvx, v.y + uvy + uuvy, v.z + uvz + uuvz);&quot;,&quot;}&quot;];a=vd.substitute(a,&quot;//VTK::Camera::Dec&quot;,[&quot;uniform mat4 MCPCMatrix;&quot;]).result,a=vd.substitute(a,&quot;//VTK::PositionVC::Impl&quot;,[&quot;  gl_Position = MCPCMatrix * vertexMC;&quot;]).result;const l=[&quot;attribute vec3 centerlinePosition;&quot;,&quot;attribute float quadIndex;&quot;,&quot;uniform float width;&quot;,&quot;out vec2 quadOffsetVSOutput;&quot;,&quot;out vec3 centerlinePosVSOutput;&quot;],c=t.renderable.isProjectionEnabled(),u=t.renderable.getUseUniformOrientation();u?(l.push(&quot;out vec3 samplingDirVSOutput;&quot;,&quot;uniform vec4 centerlineOrientation;&quot;,&quot;uniform vec3 tangentDirection;&quot;,...s),c&amp;&amp;l.push(&quot;out vec3 projectionDirVSOutput;&quot;,&quot;uniform vec3 bitangentDirection;&quot;)):l.push(&quot;out vec4 centerlineTopOrientationVSOutput;&quot;,&quot;out vec4 centerlineBotOrientationVSOutput;&quot;,&quot;attribute vec4 centerlineTopOrientation;&quot;,&quot;attribute vec4 centerlineBotOrientation;&quot;),a=vd.substitute(a,&quot;//VTK::Color::Dec&quot;,l).result;const d=[&quot;quadOffsetVSOutput = vec2(width * (mod(quadIndex, 2.0) == 0.0 ? -0.5 : 0.5), quadIndex &gt; 1.0 ? 0.0 : 1.0);&quot;,&quot;centerlinePosVSOutput = centerlinePosition;&quot;];u?(d.push(&quot;samplingDirVSOutput = applyQuaternionToVec(centerlineOrientation, tangentDirection);&quot;),c&amp;&amp;d.push(&quot;projectionDirVSOutput = applyQuaternionToVec(centerlineOrientation, bitangentDirection);&quot;)):d.push(&quot;centerlineTopOrientationVSOutput = centerlineTopOrientation;&quot;,&quot;centerlineBotOrientationVSOutput = centerlineBotOrientation;&quot;),a=vd.substitute(a,&quot;//VTK::Color::Impl&quot;,d).result;const p=t.volumeTexture.getComponents(),f=o.getProperty().getIndependentComponents();let g=[&quot;uniform mat4 MCTCMatrix; // Model coordinates to texture coordinates&quot;,&quot;in vec2 quadOffsetVSOutput;&quot;,&quot;in vec3 centerlinePosVSOutput;&quot;,&quot;uniform highp sampler3D volumeTexture;&quot;,&quot;uniform sampler2D colorTexture1;&quot;,&quot;uniform sampler2D pwfTexture1;&quot;,&quot;uniform float opacity;&quot;,&quot;uniform vec4 backgroundColor;&quot;,&quot;uniform float cshift0;&quot;,&quot;uniform float cscale0;&quot;,&quot;uniform float pwfshift0;&quot;,&quot;uniform float pwfscale0;&quot;];c&amp;&amp;g.push(&quot;uniform vec3 volumeSizeMC;&quot;,&quot;uniform int projectionSlabNumberOfSamples;&quot;,&quot;uniform float projectionConstantOffset;&quot;,&quot;uniform float projectionStepLength;&quot;),u?(g.push(&quot;in vec3 samplingDirVSOutput;&quot;),c&amp;&amp;g.push(&quot;in vec3 projectionDirVSOutput;&quot;)):(g.push(&quot;uniform vec3 tangentDirection;&quot;,&quot;in vec4 centerlineTopOrientationVSOutput;&quot;,&quot;in vec4 centerlineBotOrientationVSOutput;&quot;,...s),c&amp;&amp;g.push(&quot;uniform vec3 bitangentDirection;&quot;));const m=t.renderable.getCenterPoint();if(m&amp;&amp;g.push(&quot;uniform vec3 globalCenterPoint;&quot;),f){for(let e=1;e&lt;p;e++)g=g.concat([`uniform float cshift${e};`,`uniform float cscale${e};`,`uniform float pwfshift${e};`,`uniform float pwfscale${e};`]);switch(p){case 1:g=g.concat([&quot;uniform float mix0;&quot;,&quot;#define height0 0.5&quot;]);break;case 2:g=g.concat([&quot;uniform float mix0;&quot;,&quot;uniform float mix1;&quot;,&quot;#define height0 0.25&quot;,&quot;#define height1 0.75&quot;]);break;case 3:g=g.concat([&quot;uniform float mix0;&quot;,&quot;uniform float mix1;&quot;,&quot;uniform float mix2;&quot;,&quot;#define height0 0.17&quot;,&quot;#define height1 0.5&quot;,&quot;#define height2 0.83&quot;]);break;case 4:g=g.concat([&quot;uniform float mix0;&quot;,&quot;uniform float mix1;&quot;,&quot;uniform float mix2;&quot;,&quot;uniform float mix3;&quot;,&quot;#define height0 0.125&quot;,&quot;#define height1 0.375&quot;,&quot;#define height2 0.625&quot;,&quot;#define height3 0.875&quot;]);break;default:sg(&quot;Unsupported number of independent coordinates.&quot;)}}i=vd.substitute(i,&quot;//VTK::TCoord::Dec&quot;,g).result;let h=[];if(u?(h.push(&quot;vec3 samplingDirection = samplingDirVSOutput;&quot;),c&amp;&amp;h.push(&quot;vec3 projectionDirection = projectionDirVSOutput;&quot;)):(h.push(&quot;vec4 q0 = centerlineBotOrientationVSOutput;&quot;,&quot;vec4 q1 = centerlineTopOrientationVSOutput;&quot;,&quot;float qCosAngle = dot(q0, q1);&quot;,&quot;vec4 interpolatedOrientation;&quot;,&quot;if (qCosAngle &gt; 0.999 || qCosAngle &lt; -0.999) {&quot;,&quot;  // Use LERP instead of SLERP when the two quaternions are close or opposite&quot;,&quot;  interpolatedOrientation = normalize(mix(q0, q1, quadOffsetVSOutput.y));&quot;,&quot;} else {&quot;,&quot;  float omega = acos(qCosAngle);&quot;,&quot;  interpolatedOrientation = normalize(sin((1.0 - quadOffsetVSOutput.y) * omega) * q0 + sin(quadOffsetVSOutput.y * omega) * q1);&quot;,&quot;}&quot;,&quot;vec3 samplingDirection = applyQuaternionToVec(interpolatedOrientation, tangentDirection);&quot;),c&amp;&amp;h.push(&quot;vec3 projectionDirection = applyQuaternionToVec(interpolatedOrientation, bitangentDirection);&quot;)),m?h.push(&quot;float baseOffset = dot(samplingDirection, globalCenterPoint - centerlinePosVSOutput);&quot;,&quot;float horizontalOffset = quadOffsetVSOutput.x + baseOffset;&quot;):h.push(&quot;float horizontalOffset = quadOffsetVSOutput.x;&quot;),h.push(&quot;vec3 volumePosMC = centerlinePosVSOutput + horizontalOffset * samplingDirection;&quot;,&quot;vec3 volumePosTC = (MCTCMatrix * vec4(volumePosMC, 1.0)).xyz;&quot;,&quot;if (any(lessThan(volumePosTC, vec3(0.0))) || any(greaterThan(volumePosTC, vec3(1.0))))&quot;,&quot;{&quot;,&quot;  // set the background color and exit&quot;,&quot;  gl_FragData[0] = backgroundColor;&quot;,&quot;  return;&quot;,&quot;}&quot;),c){const e=t.renderable.getProjectionMode();switch(e===ag?h.push(&quot;const vec4 initialProjectionTextureValue = vec4(1.0);&quot;):h.push(&quot;const vec4 initialProjectionTextureValue = vec4(0.0);&quot;),h.push(&quot;vec3 projectionScaledDirection = projectionDirection / volumeSizeMC;&quot;,&quot;vec3 projectionStep = projectionStepLength * projectionScaledDirection;&quot;,&quot;vec3 projectionStartPosition = volumePosTC + projectionConstantOffset * projectionScaledDirection;&quot;,&quot;vec4 tvalue = initialProjectionTextureValue;&quot;,&quot;for (int projectionSampleIdx = 0; projectionSampleIdx &lt; projectionSlabNumberOfSamples; ++projectionSampleIdx) {&quot;,&quot;  vec3 projectionSamplePosition = projectionStartPosition + float(projectionSampleIdx) * projectionStep;&quot;,&quot;  vec4 sampledTextureValue = texture(volumeTexture, projectionSamplePosition);&quot;),e){case og:h.push(&quot;  tvalue = max(tvalue, sampledTextureValue);&quot;);break;case ag:h.push(&quot;  tvalue = min(tvalue, sampledTextureValue);&quot;);break;default:h.push(&quot;  tvalue = tvalue + sampledTextureValue;&quot;)}h.push(&quot;}&quot;),e===ig&amp;&amp;h.push(&quot;tvalue = tvalue / float(projectionSlabNumberOfSamples);&quot;)}else h.push(&quot;vec4 tvalue = texture(volumeTexture, volumePosTC);&quot;);if(f){const e=[&quot;r&quot;,&quot;g&quot;,&quot;b&quot;,&quot;a&quot;];for(let t=0;t&lt;p;++t)h=h.concat([`vec3 tcolor${t} = mix${t} * texture2D(colorTexture1, vec2(tvalue.${e[t]} * cscale${t} + cshift${t}, height${t})).rgb;`,`float compWeight${t} = mix${t} * texture2D(pwfTexture1, vec2(tvalue.${e[t]} * pwfscale${t} + pwfshift${t}, height${t})).r;`]);switch(p){case 1:h=h.concat([&quot;gl_FragData[0] = vec4(tcolor0.rgb, compWeight0 * opacity);&quot;]);break;case 2:h=h.concat([&quot;float weightSum = compWeight0 + compWeight1;&quot;,&quot;gl_FragData[0] = vec4(vec3((tcolor0.rgb * (compWeight0 / weightSum)) + (tcolor1.rgb * (compWeight1 / weightSum))), opacity);&quot;]);break;case 3:h=h.concat([&quot;float weightSum = compWeight0 + compWeight1 + compWeight2;&quot;,&quot;gl_FragData[0] = vec4(vec3((tcolor0.rgb * (compWeight0 / weightSum)) + (tcolor1.rgb * (compWeight1 / weightSum)) + (tcolor2.rgb * (compWeight2 / weightSum))), opacity);&quot;]);break;case 4:h=h.concat([&quot;float weightSum = compWeight0 + compWeight1 + compWeight2 + compWeight3;&quot;,&quot;gl_FragData[0] = vec4(vec3((tcolor0.rgb * (compWeight0 / weightSum)) + (tcolor1.rgb * (compWeight1 / weightSum)) + (tcolor2.rgb * (compWeight2 / weightSum)) + (tcolor3.rgb * (compWeight3 / weightSum))), opacity);&quot;]);break;default:sg(&quot;Unsupported number of independent coordinates.&quot;)}}else switch(p){case 1:h=h.concat([&quot;// Dependent components&quot;,&quot;float intensity = tvalue.r;&quot;,&quot;vec3 tcolor = texture2D(colorTexture1, vec2(intensity * cscale0 + cshift0, 0.5)).rgb;&quot;,&quot;float scalarOpacity = texture2D(pwfTexture1, vec2(intensity * pwfscale0 + pwfshift0, 0.5)).r;&quot;,&quot;gl_FragData[0] = vec4(tcolor, scalarOpacity * opacity);&quot;]);break;case 2:h=h.concat([&quot;float intensity = tvalue.r*cscale0 + cshift0;&quot;,&quot;gl_FragData[0] = vec4(texture2D(colorTexture1, vec2(intensity, 0.5)).rgb, pwfscale0*tvalue.g + pwfshift0);&quot;]);break;case 3:h=h.concat([&quot;vec4 tcolor = cscale0*tvalue + cshift0;&quot;,&quot;gl_FragData[0] = vec4(texture2D(colorTexture1, vec2(tcolor.r,0.5)).r,&quot;,&quot;  texture2D(colorTexture1, vec2(tcolor.g,0.5)).r,&quot;,&quot;  texture2D(colorTexture1, vec2(tcolor.b,0.5)).r, opacity);&quot;]);break;default:h=h.concat([&quot;vec4 tcolor = cscale0*tvalue + cshift0;&quot;,&quot;gl_FragData[0] = vec4(texture2D(colorTexture1, vec2(tcolor.r,0.5)).r,&quot;,&quot;  texture2D(colorTexture1, vec2(tcolor.g,0.5)).r,&quot;,&quot;  texture2D(colorTexture1, vec2(tcolor.b,0.5)).r, tcolor.a);&quot;])}i=vd.substitute(i,&quot;//VTK::TCoord::Impl&quot;,h).result,t.haveSeenDepthRequest&amp;&amp;(i=vd.substitute(i,&quot;//VTK::ZBuffer::Dec&quot;,&quot;uniform int depthRequest;&quot;).result,i=vd.substitute(i,&quot;//VTK::ZBuffer::Impl&quot;,[&quot;if (depthRequest == 1) {&quot;,&quot;float iz = floor(gl_FragCoord.z*65535.0 + 0.1);&quot;,&quot;float rf = floor(iz/256.0)/255.0;&quot;,&quot;float gf = mod(iz,256.0)/255.0;&quot;,&quot;gl_FragData[0] = vec4(rf, gf, 0.0, 1.0); }&quot;]).result),n.Vertex=a,n.Fragment=i,e.replaceShaderClip(n,r,o),e.replaceShaderCoincidentOffset(n,r,o)},e.replaceShaderClip=(e,n,r)=&gt;{let o=e.Vertex,a=e.Fragment;if(t.renderable.getNumberOfClippingPlanes()){let e=t.renderable.getNumberOfClippingPlanes();e&gt;6&amp;&amp;(sn.vtkErrorMacro(&quot;OpenGL has a limit of 6 clipping planes&quot;),e=6),o=vd.substitute(o,&quot;//VTK::Clip::Dec&quot;,[&quot;uniform int numClipPlanes;&quot;,&quot;uniform vec4 clipPlanes[6];&quot;,&quot;varying float clipDistancesVSOutput[6];&quot;]).result,o=vd.substitute(o,&quot;//VTK::Clip::Impl&quot;,[&quot;for (int planeNum = 0; planeNum &lt; 6; planeNum++)&quot;,&quot;    {&quot;,&quot;    if (planeNum &gt;= numClipPlanes)&quot;,&quot;        {&quot;,&quot;        break;&quot;,&quot;        }&quot;,&quot;    clipDistancesVSOutput[planeNum] = dot(clipPlanes[planeNum], vertexMC);&quot;,&quot;    }&quot;]).result,a=vd.substitute(a,&quot;//VTK::Clip::Dec&quot;,[&quot;uniform int numClipPlanes;&quot;,&quot;varying float clipDistancesVSOutput[6];&quot;]).result,a=vd.substitute(a,&quot;//VTK::Clip::Impl&quot;,[&quot;for (int planeNum = 0; planeNum &lt; 6; planeNum++)&quot;,&quot;    {&quot;,&quot;    if (planeNum &gt;= numClipPlanes)&quot;,&quot;        {&quot;,&quot;        break;&quot;,&quot;        }&quot;,&quot;    if (clipDistancesVSOutput[planeNum] &lt; 0.0) discard;&quot;,&quot;    }&quot;]).result}e.Vertex=o,e.Fragment=a},e.getShaderTemplate=(e,t,n)=&gt;{e.Vertex=jd,e.Fragment=Xd,e.Geometry=&quot;&quot;},e.setMapperShaderParameters=(n,r,o)=&gt;{const a=n.getProgram(),i=n.getCABO();i.getElementCount()&amp;&amp;(t.VBOBuildTime.getMTime()&gt;n.getAttributeUpdateTime().getMTime()||n.getShaderSourceTime().getMTime()&gt;n.getAttributeUpdateTime().getMTime())&amp;&amp;(a.isAttributeUsed(&quot;vertexMC&quot;)&amp;&amp;(n.getVAO().addAttributeArray(a,i,&quot;vertexMC&quot;,i.getVertexOffset(),i.getStride(),t.context.FLOAT,3,t.context.FALSE)||sg(&quot;Error setting vertexMC in shader VAO.&quot;)),n.getCABO().getCustomData().forEach((e=&gt;{e&amp;&amp;a.isAttributeUsed(e.name)&amp;&amp;!n.getVAO().addAttributeArray(a,i,e.name,e.offset,i.getStride(),t.context.FLOAT,e.components,t.context.FALSE)&amp;&amp;sg(`Error setting ${e.name} in shader VAO.`)})),n.getAttributeUpdateTime().modified());const s=t.volumeTexture.getTextureUnit();if(a.setUniformi(&quot;volumeTexture&quot;,s),a.setUniformf(&quot;width&quot;,t.renderable.getWidth()),n.getProgram().setUniform4fv(&quot;backgroundColor&quot;,t.renderable.getBackgroundColor()),a.isUniformUsed(&quot;tangentDirection&quot;)){const e=t.renderable.getTangentDirection();n.getProgram().setUniform3fArray(&quot;tangentDirection&quot;,e)}if(a.isUniformUsed(&quot;bitangentDirection&quot;)){const e=t.renderable.getBitangentDirection();n.getProgram().setUniform3fArray(&quot;bitangentDirection&quot;,e)}if(a.isUniformUsed(&quot;centerlineOrientation&quot;)){const e=t.renderable.getUniformOrientation();n.getProgram().setUniform4fv(&quot;centerlineOrientation&quot;,e)}if(a.isUniformUsed(&quot;globalCenterPoint&quot;)){const e=t.renderable.getCenterPoint();a.setUniform3fArray(&quot;globalCenterPoint&quot;,e)}if(t.renderable.isProjectionEnabled()){const e=t.currentImageDataInput,n=e.getSpacing(),r=e.getDimensions(),o=t.renderable.getProjectionSlabThickness(),i=t.renderable.getProjectionSlabNumberOfSamples(),s=ce([],n,r);a.setUniform3fArray(&quot;volumeSizeMC&quot;,s),a.setUniformi(&quot;projectionSlabNumberOfSamples&quot;,i);const l=-.5*o;a.setUniformf(&quot;projectionConstantOffset&quot;,l);const c=o/(i-1);a.setUniformf(&quot;projectionStepLength&quot;,c)}const l=t.currentImageDataInput,c=l.getWorldToIndex(),u=M(new Float32Array(16),ee([],l.getDimensions())),d=z(u,u,c);if(a.setUniformMatrix(&quot;MCTCMatrix&quot;,d),t.haveSeenDepthRequest&amp;&amp;n.getProgram().setUniformi(&quot;depthRequest&quot;,t.renderDepth?1:0),t.renderable.getNumberOfClippingPlanes()){let e=t.renderable.getNumberOfClippingPlanes();e&gt;6&amp;&amp;(sn.vtkErrorMacro(&quot;OpenGL has a limit of 6 clipping planes&quot;),e=6);const n=i.getCoordShiftAndScaleEnabled()?i.getInverseShiftAndScaleMatrix():null,r=n?T(t.imagematinv,o.getMatrix()):o.getMatrix();n&amp;&amp;(y(r,r),A(r,r,n),y(r,r)),y(t.imagemat,t.currentImageDataInput.getIndexToWorld()),A(t.imagematinv,r,t.imagemat);const s=[];for(let n=0;n&lt;e;n++){const e=[];t.renderable.getClippingPlaneInDataCoords(t.imagematinv,n,e);for(let t=0;t&lt;4;t++)s.push(e[t])}a.setUniformi(&quot;numClipPlanes&quot;,e),a.setUniform4fv(&quot;clipPlanes&quot;,s)}if(a.isUniformUsed(&quot;coffset&quot;)){const t=e.getCoincidentParameters(r,o);a.setUniformf(&quot;coffset&quot;,t.offset),a.isUniformUsed(&quot;cfactor&quot;)&amp;&amp;a.setUniformf(&quot;cfactor&quot;,t.factor)}},e.setCameraShaderParameters=(e,n,r)=&gt;{const o=t.openGLImageSlice.getKeyMatrices().mcwc,a=t.openGLCamera.getKeyMatrices(n).wcpc;if(A(t.imagemat,a,o),e.getCABO().getCoordShiftAndScaleEnabled()){const n=e.getCABO().getInverseShiftAndScaleMatrix();A(t.imagemat,t.imagemat,n)}e.getProgram().setUniformMatrix(&quot;MCPCMatrix&quot;,t.imagemat)},e.setPropertyShaderParameters=(e,n,r)=&gt;{const o=e.getProgram(),a=r.getProperty(),i=a.getOpacity();o.setUniformf(&quot;opacity&quot;,i);const s=t.volumeTexture.getComponents(),l=a.getIndependentComponents();if(l)for(let e=0;e&lt;s;++e)o.setUniformf(`mix${e}`,a.getComponentWeight(e));const c=t.volumeTexture.getVolumeInfo();for(let e=0;e&lt;s;e++){let t=a.getColorWindow(),n=a.getColorLevel();const r=l?e:0,i=a.getRGBTransferFunction(r);if(i&amp;&amp;a.getUseLookupTableScalarRange()){const e=i.getRange();t=e[1]-e[0],n=.5*(e[1]+e[0])}const s=c.scale[e]/t,u=(c.offset[e]-n)/t+.5;o.setUniformf(`cshift${e}`,u),o.setUniformf(`cscale${e}`,s)}const u=t.colorTexture.getTextureUnit();o.setUniformi(&quot;colorTexture1&quot;,u);for(let e=0;e&lt;s;e++){let t=1,n=0;const r=l?e:0,i=a.getPiecewiseFunction(r);if(i){const r=i.getRange(),o=r[1]-r[0],a=.5*(r[0]+r[1]);t=c.scale[e]/o,n=(c.offset[e]-a)/o+.5}o.setUniformf(`pwfshift${e}`,n),o.setUniformf(`pwfscale${e}`,t)}const d=t.pwfTexture.getTextureUnit();o.setUniformi(&quot;pwfTexture1&quot;,d)},e.updateShaders=(n,r,o)=&gt;{if(e.getNeedToRebuildShaders(n,r,o)){const a={Vertex:null,Fragment:null,Geometry:null};e.buildShaders(a,r,o);const i=t._openGLRenderWindow.getShaderCache().readyShaderProgramArray(a.Vertex,a.Fragment,a.Geometry);i!==n.getProgram()&amp;&amp;(n.setProgram(i),n.getVAO().releaseGraphicsResources()),n.getShaderSourceTime().modified()}else t._openGLRenderWindow.getShaderCache().readyShaderProgram(n.getProgram());n.getVAO().bind(),e.setMapperShaderParameters(n,r,o),e.setCameraShaderParameters(n,r,o),e.setPropertyShaderParameters(n,r,o)},e.delete=sn.chain((()=&gt;{t._openGLRenderWindow&amp;&amp;n(t._openGLRenderWindow)}),e.delete)}(e,t)}),&quot;vtkOpenGLImageCPRMapper&quot;);vn(&quot;vtkImageCPRMapper&quot;,cg);const ug={context:null,keyMatrixTime:null,keyMatrices:null};vn(&quot;vtkImageSlice&quot;,Xt((function(e,t,n={}){Object.assign(t,ug,n),pn.extend(e,t,n),t.keyMatrixTime={},Vt(t.keyMatrixTime,{mtime:0}),t.keyMatrices={mcwc:x(new Float64Array(16))},Gt(e,t,[&quot;context&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkOpenGLImageSlice&quot;),e.buildPass=n=&gt;{if(t.renderable&amp;&amp;t.renderable.getVisibility()&amp;&amp;n){if(!t.renderable)return;t._openGLRenderWindow=e.getLastAncestorOfType(&quot;vtkOpenGLRenderWindow&quot;),t._openGLRenderer=e.getFirstAncestorOfType(&quot;vtkOpenGLRenderer&quot;),t.context=t._openGLRenderWindow.getContext(),e.prepareNodes(),e.addMissingNode(t.renderable.getMapper()),e.removeUnusedNodes()}},e.traverseZBufferPass=n=&gt;{t.renderable&amp;&amp;t.renderable.getNestedVisibility()&amp;&amp;(!t._openGLRenderer.getSelector()||t.renderable.getNestedPickable())&amp;&amp;(e.apply(n,!0),t.children.forEach((e=&gt;{e.traverse(n)})),e.apply(n,!1))},e.traverseOpaqueZBufferPass=t=&gt;e.traverseOpaquePass(t),e.traverseOpaquePass=n=&gt;{t.renderable&amp;&amp;t.renderable.getNestedVisibility()&amp;&amp;t.renderable.getIsOpaque()&amp;&amp;(!t._openGLRenderer.getSelector()||t.renderable.getNestedPickable())&amp;&amp;(e.apply(n,!0),t.children.forEach((e=&gt;{e.traverse(n)})),e.apply(n,!1))},e.traverseTranslucentPass=n=&gt;{!t.renderable||!t.renderable.getNestedVisibility()||t.renderable.getIsOpaque()||t._openGLRenderer.getSelector()&amp;&amp;!t.renderable.getNestedPickable()||(e.apply(n,!0),t.children.forEach((e=&gt;{e.traverse(n)})),e.apply(n,!1))},e.queryPass=(e,n)=&gt;{if(e){if(!t.renderable||!t.renderable.getVisibility())return;t.renderable.getIsOpaque()?n.incrementOpaqueActorCount():n.incrementTranslucentActorCount()}},e.zBufferPass=(t,n)=&gt;e.opaquePass(t,n),e.opaqueZBufferPass=(t,n)=&gt;e.opaquePass(t,n),e.opaquePass=(e,n)=&gt;{e&amp;&amp;t.context.depthMask(!0)},e.translucentPass=(e,n)=&gt;{t.context.depthMask(!e)},e.getKeyMatrices=()=&gt;(t.renderable.getMTime()&gt;t.keyMatrixTime.getMTime()&amp;&amp;(T(t.keyMatrices.mcwc,t.renderable.getMatrix()),y(t.keyMatrices.mcwc,t.keyMatrices.mcwc),t.keyMatrixTime.modified()),t.keyMatrices)}(e,t)}),&quot;vtkOpenGLImageSlice&quot;));const dg={};vn(&quot;vtkVolume&quot;,Xt((function(e,t,n={}){Object.assign(t,dg,n),pn.extend(e,t,n),t.keyMatrixTime={},Vt(t.keyMatrixTime,{mtime:0}),t.normalMatrix=new Float64Array(9),t.MCWCMatrix=new Float64Array(16),Gt(e,t,[&quot;context&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkOpenGLVolume&quot;),e.buildPass=n=&gt;{t.renderable&amp;&amp;t.renderable.getVisibility()&amp;&amp;n&amp;&amp;(t._openGLRenderWindow=e.getLastAncestorOfType(&quot;vtkOpenGLRenderWindow&quot;),t._openGLRenderer=e.getFirstAncestorOfType(&quot;vtkOpenGLRenderer&quot;),t.context=t._openGLRenderWindow.getContext(),e.prepareNodes(),e.addMissingNode(t.renderable.getMapper()),e.removeUnusedNodes())},e.queryPass=(e,n)=&gt;{if(e){if(!t.renderable||!t.renderable.getVisibility())return;n.incrementVolumeCount()}},e.traverseVolumePass=n=&gt;{t.renderable&amp;&amp;t.renderable.getNestedVisibility()&amp;&amp;(!t._openGLRenderer.getSelector()||t.renderable.getNestedPickable())&amp;&amp;(e.apply(n,!0),t.children[0].traverse(n),e.apply(n,!1))},e.volumePass=e=&gt;{t.renderable&amp;&amp;t.renderable.getVisibility()&amp;&amp;t.context.depthMask(!e)},e.getKeyMatrices=()=&gt;(t.renderable.getMTime()&gt;t.keyMatrixTime.getMTime()&amp;&amp;(t.renderable.computeMatrix(),T(t.MCWCMatrix,t.renderable.getMatrix()),y(t.MCWCMatrix,t.MCWCMatrix),t.renderable.getIsIdentity()?c(t.normalMatrix):(s(t.normalMatrix,t.MCWCMatrix),d(t.normalMatrix,t.normalMatrix),u(t.normalMatrix,t.normalMatrix)),t.keyMatrixTime.modified()),{mcwc:t.MCWCMatrix,normalMatrix:t.normalMatrix})}(e,t)}),&quot;vtkOpenGLVolume&quot;));const pg={NEAREST:0,LINEAR:1,FAST_LINEAR:2},fg={FRACTIONAL:0,PROPORTIONAL:1},gg={DEFAULT:0,ADDITIVE:1,COLORIZE:2,CUSTOM:3};var mg={InterpolationType:pg,OpacityMode:fg,ColorMixPreset:gg,FilterMode:{OFF:0,NORMALIZED:1,RAW:2}};const hg={COMPOSITE_BLEND:0,MAXIMUM_INTENSITY_BLEND:1,MINIMUM_INTENSITY_BLEND:2,AVERAGE_INTENSITY_BLEND:3,ADDITIVE_INTENSITY_BLEND:4,RADON_TRANSFORM_BLEND:5,LABELMAP_EDGE_PROJECTION_BLEND:6};var vg={BlendMode:hg};const{vtkWarningMacro:Tg,vtkErrorMacro:xg}=ln,yg={idxToView:x(new Float64Array(16)),vecISToVCMatrix:c(new Float64Array(9)),modelToView:x(new Float64Array(16)),projectionToView:x(new Float64Array(16)),projectionToWorld:x(new Float64Array(16))};function bg(e,t){function n(e){return e.getUseLabelOutline()||t.renderable.getBlendMode()===hg.LABELMAP_EDGE_PROJECTION_BLEND}t.classHierarchy.push(&quot;vtkOpenGLVolumeMapper&quot;);const r=new Map;function o(t,n,o){n!==o&amp;&amp;(function(t,n){if(!n)return;const o=(r.get(n)??0)-1;o&lt;=0?(t.unregisterGraphicsResourceUser(n,e),r.delete(n)):r.set(n,o)}(t,n),function(t,n){if(!n)return;const o=r.get(n)??0,a=o+1;r.set(n,a),o&lt;=0&amp;&amp;t.registerGraphicsResourceUser(n,e)}(t,o))}function a(t){[...r.keys()].forEach((n=&gt;t.unregisterGraphicsResourceUser(n,e)))}e.buildPass=()=&gt;{t.zBufferTexture=null},e.zBufferPass=(e,n)=&gt;{if(e){const e=n.getZBufferTexture();e!==t.zBufferTexture&amp;&amp;(t.zBufferTexture=e)}},e.opaqueZBufferPass=(t,n)=&gt;e.zBufferPass(t,n),e.volumePass=(n,r)=&gt;{if(n){const n=t._openGLRenderWindow;t._openGLRenderWindow=e.getLastAncestorOfType(&quot;vtkOpenGLRenderWindow&quot;),n&amp;&amp;!n.isDeleted()&amp;&amp;n!==t._openGLRenderWindow&amp;&amp;a(n),t.context=t._openGLRenderWindow.getContext(),t.tris.setOpenGLRenderWindow(t._openGLRenderWindow),t.jitterTexture.setOpenGLRenderWindow(t._openGLRenderWindow),t.framebuffer.setOpenGLRenderWindow(t._openGLRenderWindow),t.openGLVolume=e.getFirstAncestorOfType(&quot;vtkOpenGLVolume&quot;);const r=t.openGLVolume.getRenderable();t._openGLRenderer=e.getFirstAncestorOfType(&quot;vtkOpenGLRenderer&quot;);const o=t._openGLRenderer.getRenderable();t.openGLCamera=t._openGLRenderer.getViewNodeFor(o.getActiveCamera(),t.openGLCamera),e.renderPiece(o,r)}},e.getShaderTemplate=(e,t,n)=&gt;{e.Vertex=&quot;//VTK::System::Dec\\n\\n/*=========================================================================\\n\\n  Program:   Visualization Toolkit\\n  Module:    vtkVolumeVS.glsl\\n\\n  Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen\\n  All rights reserved.\\n  See Copyright.txt or http://www.kitware.com/Copyright.htm for details.\\n\\n     This software is distributed WITHOUT ANY WARRANTY; without even\\n     the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR\\n     PURPOSE.  See the above copyright notice for more information.\\n\\n=========================================================================*/\\n\\nattribute vec4 vertexDC;\\n\\nvarying vec3 vertexVCVSOutput;\\nuniform mat4 PCVCMatrix;\\n\\nuniform float dcxmin;\\nuniform float dcxmax;\\nuniform float dcymin;\\nuniform float dcymax;\\n\\nvoid main()\\n{\\n  // dcsmall is the device coords reduced to the\\n  // x y area covered by the volume\\n  vec4 dcsmall = vec4(\\n    dcxmin + 0.5 * (vertexDC.x + 1.0) * (dcxmax - dcxmin),\\n    dcymin + 0.5 * (vertexDC.y + 1.0) * (dcymax - dcymin),\\n    vertexDC.z,\\n    vertexDC.w);\\n  vec4 vcpos = PCVCMatrix * dcsmall;\\n  vertexVCVSOutput = vcpos.xyz/vcpos.w;\\n  gl_Position = dcsmall;\\n}\\n&quot;,e.Fragment=&quot;//VTK::System::Dec\\n\\n/*=========================================================================\\n\\n  Program:   Visualization Toolkit\\n  Module:    vtkVolumeFS.glsl\\n\\n  Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen\\n  All rights reserved.\\n  See Copyright.txt or http://www.kitware.com/Copyright.htm for details.\\n\\n     This software is distributed WITHOUT ANY WARRANTY; without even\\n     the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR\\n     PURPOSE.  See the above copyright notice for more information.\\n\\n=========================================================================*/\\n// Template for the volume mappers fragment shader\\n\\nconst float infinity = 3.402823466e38;\\n\\n// the output of this shader\\n//VTK::Output::Dec\\n\\nin vec3 vertexVCVSOutput;\\n\\n// From Sources\\\\Rendering\\\\Core\\\\VolumeProperty\\\\Constants.js\\n#define COMPOSITE_BLEND 0\\n#define MAXIMUM_INTENSITY_BLEND 1\\n#define MINIMUM_INTENSITY_BLEND 2\\n#define AVERAGE_INTENSITY_BLEND 3\\n#define ADDITIVE_INTENSITY_BLEND 4\\n#define RADON_TRANSFORM_BLEND 5\\n#define LABELMAP_EDGE_PROJECTION_BLEND 6\\n\\n#define vtkNumberOfLights //VTK::NumberOfLights\\n#define vtkMaxLaoKernelSize //VTK::MaxLaoKernelSize\\n#define vtkNumberOfComponents //VTK::NumberOfComponents\\n#define vtkBlendMode //VTK::BlendMode\\n#define vtkMaximumNumberOfSamples //VTK::MaximumNumberOfSamples\\n\\n//VTK::EnabledColorFunctions\\n\\n//VTK::EnabledLightings\\n\\n//VTK::EnabledMultiTexturePerVolume\\n\\n//VTK::EnabledGradientOpacity\\n\\n//VTK::EnabledIndependentComponents\\n\\n//VTK::vtkProportionalComponents\\n\\n//VTK::vtkForceNearestComponents\\n\\nuniform int twoSidedLighting;\\n\\n#if vtkMaxLaoKernelSize &gt; 0\\n  vec2 kernelSample[vtkMaxLaoKernelSize];\\n#endif\\n\\n// Textures\\n#ifdef EnabledMultiTexturePerVolume\\n  #define vtkNumberOfVolumeTextures vtkNumberOfComponents\\n#else\\n  #define vtkNumberOfVolumeTextures 1\\n#endif\\nuniform highp sampler3D volumeTexture[vtkNumberOfVolumeTextures];\\nuniform sampler2D colorTexture;\\nuniform sampler2D opacityTexture;\\nuniform sampler2D jtexture;\\nuniform sampler2D labelOutlineThicknessTexture;\\n\\nstruct Volume {\\n  // ---- Volume geometry settings ----\\n\\n  vec3 originVC;          // in VC\\n  vec3 spacing;           // in VC per IC\\n  vec3 inverseSpacing;    // 1/spacing\\n  ivec3 dimensions;       // in IC\\n  vec3 inverseDimensions; // 1/vec3(dimensions)\\n  mat3 vecISToVCMatrix;   // convert from IS to VC without translation\\n  mat3 vecVCToISMatrix;   // convert from VC to IS without translation\\n  mat4 PCWCMatrix;\\n  mat4 worldToIndex;\\n  float diagonalLength; // in VC, this is: length(size)\\n\\n  // ---- Texture settings ----\\n\\n  // Texture shift and scale\\n  vec4 colorTextureScale;\\n  vec4 colorTextureShift;\\n  vec4 opacityTextureScale;\\n  vec4 opacityTextureShift;\\n\\n  // The heights defined below are the locations for the up to four components\\n  // of the transfer functions. The transfer functions have a height of (2 *\\n  // numberOfComponents) pixels so the values are computed to hit the middle of\\n  // the two rows for that component\\n  vec4 transferFunctionsSampleHeight;\\n\\n  // ---- Mode specific settings ----\\n\\n  // Independent component default preset settings per component\\n  vec4 independentComponentMix;\\n\\n  // Additive / average blending mode settings\\n  vec4 ipScalarRangeMin;\\n  vec4 ipScalarRangeMax;\\n\\n  // ---- Rendering settings ----\\n\\n  // Lighting\\n  float ambient;\\n  float diffuse;\\n  float specular;\\n  float specularPower;\\n  int computeNormalFromOpacity;\\n\\n  // Gradient opacity\\n  vec4 gradientOpacityScale;\\n  vec4 gradientOpacityShift;\\n  vec4 gradientOpacityMin;\\n  vec4 gradientOpacityMax;\\n\\n  // Volume shadow\\n  float volumetricScatteringBlending;\\n  float globalIlluminationReach;\\n  float anisotropy;\\n  float anisotropySquared;\\n\\n  // LAO\\n  int kernelSize;\\n  int kernelRadius;\\n\\n  // Label outline\\n  float outlineOpacity;\\n};\\nuniform Volume volume;\\n\\nstruct Light {\\n  vec3 color;\\n  vec3 positionVC;\\n  vec3 directionVC; // normalized\\n  vec3 halfAngleVC;\\n  vec3 attenuation;\\n  float exponent;\\n  float coneAngle;\\n  int isPositional;\\n};\\n#if vtkNumberOfLights &gt; 0\\n  uniform Light lights[vtkNumberOfLights];\\n#endif\\n\\nuniform float vpWidth;\\nuniform float vpHeight;\\nuniform float vpOffsetX;\\nuniform float vpOffsetY;\\n\\n// Bitmasks for label outline\\nconst int MAX_SEGMENT_INDEX = 256; // Define as per expected maximum\\n#define MAX_SEGMENTS 256\\n#define UINT_SIZE 32\\n// We add UINT_SIZE - 1, as we want the ceil of the division instead of the\\n// floor\\n#define BITMASK_SIZE ((MAX_SEGMENTS + UINT_SIZE - 1) / UINT_SIZE)\\nuint labelOutlineBitmasks[BITMASK_SIZE];\\n\\n// Set the corresponding bit in the bitmask\\nvoid setLabelOutlineBit(int segmentIndex) {\\n  int arrayIndex = segmentIndex / UINT_SIZE;\\n  int bitIndex = segmentIndex % UINT_SIZE;\\n  labelOutlineBitmasks[arrayIndex] |= 1u &lt;&lt; bitIndex;\\n}\\n\\n// Check if a bit is set in the bitmask\\nbool isLabelOutlineBitSet(int segmentIndex) {\\n  int arrayIndex = segmentIndex / UINT_SIZE;\\n  int bitIndex = segmentIndex % UINT_SIZE;\\n  return ((labelOutlineBitmasks[arrayIndex] &amp; (1u &lt;&lt; bitIndex)) != 0u);\\n}\\n\\n// if you want to see the raw tiled\\n// data in webgl1 uncomment the following line\\n// #define debugtile\\n\\n// camera values\\nuniform float camThick;\\nuniform float camNear;\\nuniform float camFar;\\nuniform int cameraParallel;\\n\\n//VTK::ClipPlane::Dec\\n\\n// A random number between 0 and 1 that only depends on the fragment\\n// It uses the jtexture, so this random seed repeats by blocks of 32 fragments\\n// in screen space\\nfloat fragmentSeed;\\n\\n// sample texture is global\\nuniform float sampleDistance;\\nuniform float volumeShadowSampleDistance;\\n\\n// declaration for intermixed geometry\\n//VTK::ZBuffer::Dec\\n\\n//=======================================================================\\n// global and custom variables (a temporary section before photorealistics\\n// rendering module is complete)\\nvec3 rayDirVC;\\n\\n#define INV4PI 0.0796\\n#define EPSILON 0.001\\n#define PI 3.1415\\n#define PI2 9.8696\\n\\nvec4 rawSampleTexture(vec3 pos) {\\n  #ifdef EnabledMultiTexturePerVolume\\n    vec4 rawSample;\\n    rawSample[0] = texture(volumeTexture[0], pos)[0];\\n  #if vtkNumberOfComponents &gt; 1\\n    rawSample[1] = texture(volumeTexture[1], pos)[0];\\n  #endif\\n  #if vtkNumberOfComponents &gt; 2\\n    rawSample[2] = texture(volumeTexture[2], pos)[0];\\n  #endif\\n  #if vtkNumberOfComponents &gt; 3\\n    rawSample[3] = texture(volumeTexture[3], pos)[0];\\n  #endif\\n    return rawSample;\\n  #else\\n    return texture(volumeTexture[0], pos);\\n  #endif\\n}\\n\\nvec4 rawFetchTexture(ivec3 pos) {\\n  #ifdef EnabledMultiTexturePerVolume\\n    vec4 rawSample;\\n    #if vtkNumberOfComponents &gt; 0\\n      rawSample[0] = texelFetch(volumeTexture[0], pos, 0)[0];\\n    #endif\\n    #if vtkNumberOfComponents &gt; 1\\n      rawSample[1] = texelFetch(volumeTexture[1], pos, 0)[0];\\n    #endif\\n    #if vtkNumberOfComponents &gt; 2\\n      rawSample[2] = texelFetch(volumeTexture[2], pos, 0)[0];\\n    #endif\\n    #if vtkNumberOfComponents &gt; 3\\n      rawSample[3] = texelFetch(volumeTexture[3], pos, 0)[0];\\n    #endif\\n    return rawSample;\\n  #else\\n    return texelFetch(volumeTexture[0], pos, 0);\\n  #endif\\n}\\n\\nvec4 getTextureValue(vec3 pos) {\\n  vec4 tmp = rawSampleTexture(pos);\\n\\n  // Force nearest\\n  #if defined(vtkComponent0ForceNearest) || \\\\\\n      defined(vtkComponent1ForceNearest) || \\\\\\n      defined(vtkComponent2ForceNearest) || \\\\\\n      defined(vtkComponent3ForceNearest)\\n    vec3 nearestPos = (floor(pos * vec3(volume.dimensions)) + 0.5) *\\n                      volume.inverseDimensions;\\n    vec4 nearestValue = rawSampleTexture(nearestPos);\\n    #ifdef vtkComponent0ForceNearest\\n      tmp[0] = nearestValue[0];\\n    #endif\\n    #ifdef vtkComponent1ForceNearest\\n      tmp[1] = nearestValue[1];\\n    #endif\\n    #ifdef vtkComponent2ForceNearest\\n      tmp[2] = nearestValue[2];\\n    #endif\\n    #ifdef vtkComponent3ForceNearest\\n      tmp[3] = nearestValue[3];\\n    #endif\\n  #endif\\n\\n  // Set alpha when using dependent components\\n  #ifndef EnabledIndependentComponents\\n    #if vtkNumberOfComponents == 1\\n      tmp.a = tmp.r;\\n    #endif\\n    #if vtkNumberOfComponents == 2\\n      tmp.a = tmp.g;\\n    #endif\\n    #if vtkNumberOfComponents == 3\\n      tmp.a = length(tmp.rgb);\\n    #endif\\n  #endif\\n\\n  return tmp;\\n}\\n\\n// `height` is usually `volume.transferFunctionsSampleHeight[component]`\\n// when using independent component and `0.5` otherwise. Don&#x27;t move the if\\n// statement in these function, as the callers usually already knows if it is\\n// using independent component or not\\nfloat getOpacityFromTexture(float scalar, int component, float height) {\\n  float scaledScalar = scalar * volume.opacityTextureScale[component] +\\n                       volume.opacityTextureShift[component];\\n  return texture2D(opacityTexture, vec2(scaledScalar, height)).r;\\n}\\nvec3 getColorFromTexture(float scalar, int component, float height) {\\n  float scaledScalar = scalar * volume.colorTextureScale[component] +\\n                       volume.colorTextureShift[component];\\n  return texture2D(colorTexture, vec2(scaledScalar, height)).rgb;\\n}\\n\\n//=======================================================================\\n// transformation between VC and IS space\\n\\n// convert vector position from idx to vc\\nvec3 posIStoVC(vec3 posIS) {\\n  return volume.vecISToVCMatrix * posIS + volume.originVC;\\n}\\n\\n// convert vector position from vc to idx\\nvec3 posVCtoIS(vec3 posVC) {\\n  return volume.vecVCToISMatrix * (posVC - volume.originVC);\\n}\\n\\n// Rotate vector to view coordinate\\nvec3 vecISToVC(vec3 dirIS) {\\n  return volume.vecISToVCMatrix * dirIS;\\n}\\n\\n// Rotate vector to idx coordinate\\nvec3 vecVCToIS(vec3 dirVC) {\\n  return volume.vecVCToISMatrix * dirVC;\\n}\\n\\n//=======================================================================\\n// Given a normal compute the gradient opacity factors\\nfloat computeGradientOpacityFactor(float normalMag, int component) {\\n  float goscale = volume.gradientOpacityScale[component];\\n  float goshift = volume.gradientOpacityShift[component];\\n  float gomin = volume.gradientOpacityMin[component];\\n  float gomax = volume.gradientOpacityMax[component];\\n  return clamp(normalMag * goscale + goshift, gomin, gomax);\\n}\\n\\n#ifdef vtkClippingPlanesOn\\n  bool isPointClipped(vec3 posVC) {\\n    for (int i = 0; i &lt; clip_numPlanes; ++i) {\\n      if (dot(vec3(vClipPlaneOrigins[i] - posVC), vClipPlaneNormals[i]) &gt; 0.0) {\\n        return true;\\n      }\\n    }\\n    return false;\\n  }\\n#endif\\n\\n//=======================================================================\\n// compute the normal and gradient magnitude for a position, uses forward\\n// difference\\n\\n// The output normal is in VC\\nvec4 computeDensityNormal(vec3 opacityUCoords[2], float opacityTextureHeight,\\n                          float gradientOpacity, int component) {\\n  // Pass the scalars through the opacity functions\\n  vec4 opacityG;\\n  opacityG.x += getOpacityFromTexture(opacityUCoords[0].x, component,\\n                                      opacityTextureHeight);\\n  opacityG.y += getOpacityFromTexture(opacityUCoords[0].y, component,\\n                                      opacityTextureHeight);\\n  opacityG.z += getOpacityFromTexture(opacityUCoords[0].z, component,\\n                                      opacityTextureHeight);\\n  opacityG.x -= getOpacityFromTexture(opacityUCoords[1].x, component,\\n                                      opacityTextureHeight);\\n  opacityG.y -= getOpacityFromTexture(opacityUCoords[1].y, component,\\n                                      opacityTextureHeight);\\n  opacityG.z -= getOpacityFromTexture(opacityUCoords[1].z, component,\\n                                      opacityTextureHeight);\\n\\n  // Divide by spacing and convert to VC\\n  opacityG.xyz *= gradientOpacity * volume.inverseSpacing;\\n  opacityG.w = length(opacityG.xyz);\\n  if (opacityG.w == 0.0) {\\n    return vec4(0.0);\\n  }\\n\\n  // Normalize\\n  opacityG.xyz = normalize(vecISToVC(opacityG.xyz));\\n\\n  return opacityG;\\n}\\n\\n// The output normal is in VC\\nvec4 computeNormalForDensity(vec3 posIS, out vec3 scalarInterp[2],\\n                             const int opacityComponent) {\\n  vec3 offsetedPosIS;\\n  for (int axis = 0; axis &lt; 3; ++axis) {\\n    // Positive direction\\n    offsetedPosIS = posIS;\\n    offsetedPosIS[axis] += volume.inverseDimensions[axis];\\n    scalarInterp[0][axis] =\\n        getTextureValue(offsetedPosIS)[opacityComponent];\\n    #ifdef vtkClippingPlanesOn\\n      if (isPointClipped(posIStoVC(offsetedPosIS))) {\\n        scalarInterp[0][axis] = 0.0;\\n      }\\n    #endif\\n\\n    // Negative direction\\n    offsetedPosIS = posIS;\\n    offsetedPosIS[axis] -= volume.inverseDimensions[axis];\\n    scalarInterp[1][axis] =\\n        getTextureValue(offsetedPosIS)[opacityComponent];\\n    #ifdef vtkClippingPlanesOn\\n      if (isPointClipped(posIStoVC(offsetedPosIS))) {\\n        scalarInterp[1][axis] = 0.0;\\n      }\\n    #endif\\n  }\\n\\n  vec4 result;\\n  result.xyz = (scalarInterp[0] - scalarInterp[1]) * volume.inverseSpacing;\\n  result.w = length(result.xyz);\\n  if (result.w == 0.0) {\\n    return vec4(0.0);\\n  }\\n  result.xyz = normalize(vecISToVC(result.xyz));\\n  return result;\\n}\\n\\nvec4 fragCoordToPCPos(vec4 fragCoord) {\\n  return vec4((fragCoord.x / vpWidth - vpOffsetX - 0.5) * 2.0,\\n              (fragCoord.y / vpHeight - vpOffsetY - 0.5) * 2.0,\\n              (fragCoord.z - 0.5) * 2.0, 1.0);\\n}\\n\\nvec4 pcPosToWorldCoord(vec4 pcPos) {\\n  return volume.PCWCMatrix * pcPos;\\n}\\n\\nvec3 fragCoordToIndexSpace(vec4 fragCoord) {\\n  vec4 pcPos = fragCoordToPCPos(fragCoord);\\n  vec4 worldCoord = pcPosToWorldCoord(pcPos);\\n  vec4 vertex = (worldCoord / worldCoord.w);\\n\\n  vec3 index = (volume.worldToIndex * vertex).xyz;\\n\\n  // half voxel fix for labelmapOutline\\n  return (index + vec3(0.5)) * volume.inverseDimensions;\\n}\\n\\nvec3 fragCoordToWorld(vec4 fragCoord) {\\n  vec4 pcPos = fragCoordToPCPos(fragCoord);\\n  vec4 worldCoord = pcPosToWorldCoord(pcPos);\\n  return worldCoord.xyz;\\n}\\n\\n//=======================================================================\\n// Compute the normals and gradient magnitudes for a position for independent\\n// components The output normals are in VC\\nmat4 computeMat4Normal(vec3 posIS, vec4 tValue) {\\n  vec3 xvec = vec3(volume.inverseDimensions.x, 0.0, 0.0);\\n  vec3 yvec = vec3(0.0, volume.inverseDimensions.y, 0.0);\\n  vec3 zvec = vec3(0.0, 0.0, volume.inverseDimensions.z);\\n\\n  vec4 distX = getTextureValue(posIS + xvec) - getTextureValue(posIS - xvec);\\n  vec4 distY = getTextureValue(posIS + yvec) - getTextureValue(posIS - yvec);\\n  vec4 distZ = getTextureValue(posIS + zvec) - getTextureValue(posIS - zvec);\\n\\n  // divide by spacing\\n  distX *= 0.5 * volume.inverseSpacing.x;\\n  distY *= 0.5 * volume.inverseSpacing.y;\\n  distZ *= 0.5 * volume.inverseSpacing.z;\\n\\n  mat4 result;\\n\\n  // optionally compute the 1st component\\n  #if vtkNumberOfComponents &gt; 0 &amp;&amp; !defined(vtkComponent0Proportional)\\n    {\\n      const int component = 0;\\n      vec3 normal = vec3(distX[component], distY[component], distZ[component]);\\n      float normalLength = length(normal);\\n      if (normalLength &gt; 0.0) {\\n        normal = normalize(vecISToVC(normal));\\n      }\\n      result[component] = vec4(normal, normalLength);\\n    }\\n  #endif\\n\\n  // optionally compute the 2nd component\\n  #if vtkNumberOfComponents &gt; 1 &amp;&amp; !defined(vtkComponent1Proportional)\\n    {\\n      const int component = 1;\\n      vec3 normal = vec3(distX[component], distY[component], distZ[component]);\\n      float normalLength = length(normal);\\n      if (normalLength &gt; 0.0) {\\n        normal = normalize(vecISToVC(normal));\\n      }\\n      result[component] = vec4(normal, normalLength);\\n    }\\n  #endif\\n\\n  // optionally compute the 3rd component\\n  #if vtkNumberOfComponents &gt; 2 &amp;&amp; !defined(vtkComponent2Proportional)\\n    {\\n      const int component = 2;\\n      vec3 normal = vec3(distX[component], distY[component], distZ[component]);\\n      float normalLength = length(normal);\\n      if (normalLength &gt; 0.0) {\\n        normal = normalize(vecISToVC(normal));\\n      }\\n      result[component] = vec4(normal, normalLength);\\n    }\\n  #endif\\n\\n  // optionally compute the 4th component\\n  #if vtkNumberOfComponents &gt; 3 &amp;&amp; !defined(vtkComponent3Proportional)\\n    {\\n      const int component = 3;\\n      vec3 normal = vec3(distX[component], distY[component], distZ[component]);\\n      float normalLength = length(normal);\\n      if (normalLength &gt; 0.0) {\\n        normal = normalize(vecISToVC(normal));\\n      }\\n      result[component] = vec4(normal, normalLength);\\n    }\\n  #endif\\n\\n  return result;\\n}\\n\\n//=======================================================================\\n// global shadow - secondary ray\\n\\n// henyey greenstein phase function\\nfloat phaseFunction(float cos_angle) {\\n  // divide by 2.0 instead of 4pi to increase intensity\\n  float anisotropy = volume.anisotropy;\\n  if (abs(anisotropy) &lt;= EPSILON) {\\n    // isotropic scatter returns 0.5 instead of 1/4pi to increase intensity\\n    return 0.5;\\n  }\\n  float anisotropy2 = volume.anisotropySquared;\\n  return ((1.0 - anisotropy2) /\\n          pow(1.0 + anisotropy2 - 2.0 * anisotropy * cos_angle, 1.5)) /\\n         2.0;\\n}\\n\\n// Compute the two intersection distances of the ray with the volume in VC\\n// The entry point is `rayOriginVC + distanceMin * rayDirVC` and the exit point\\n// is `rayOriginVC + distanceMax * rayDirVC` If distanceMin &lt; distanceMax, the\\n// volume is not intersected The ray origin is inside the box when distanceMin &lt;\\n// 0.0 &lt; distanceMax\\nvec2 rayIntersectVolumeDistances(vec3 rayOriginVC, vec3 rayDirVC) {\\n  // Compute origin and direction in IS\\n  vec3 rayOriginIS = posVCtoIS(rayOriginVC);\\n  vec3 rayDirIS = vecVCToIS(rayDirVC);\\n  // Don&#x27;t check for infinity as the min/max combination afterward will always\\n  // find an intersection before infinity\\n  vec3 invDir = 1.0 / rayDirIS;\\n\\n  // We have: bound = origin + t * dir\\n  // So: t = (1/dir) * (bound - origin)\\n  vec3 distancesTo0 = invDir * (vec3(0.0) - rayOriginIS);\\n  vec3 distancesTo1 = invDir * (vec3(1.0) - rayOriginIS);\\n  // Min and max distances to plane intersection per plane\\n  vec3 dMinPerAxis = min(distancesTo0, distancesTo1);\\n  vec3 dMaxPerAxis = max(distancesTo0, distancesTo1);\\n  // Overall first and last intersection\\n  float distanceMin = max(dMinPerAxis.x, max(dMinPerAxis.y, dMinPerAxis.z));\\n  float distanceMax = min(dMaxPerAxis.x, min(dMaxPerAxis.y, dMaxPerAxis.z));\\n  return vec2(distanceMin, distanceMax);\\n}\\n\\n//=======================================================================\\n// local ambient occlusion\\n#if vtkMaxLaoKernelSize &gt; 0\\n\\n  // Return a random point on the unit sphere\\n  vec3 sampleDirectionUniform(int rayIndex) {\\n    // Each ray of each fragment should be different, two sources of randomness\\n    // are used. Only depends on ray index\\n    vec2 rayRandomness = kernelSample[rayIndex];\\n    // Only depends on fragment\\n    float fragmentRandomness = fragmentSeed;\\n    // Merge both source of randomness in a single uniform random variable using\\n    // the formula (x+y &lt; 1 ? x+y : x+y-1). The simpler formula (x+y)/2 doesn&#x27;t\\n    // result in a uniform distribution\\n    vec2 mergedRandom = rayRandomness + vec2(fragmentRandomness);\\n    mergedRandom -= vec2(greaterThanEqual(mergedRandom, vec2(1.0)));\\n\\n    // Insipred by:\\n    // https://karthikkaranth.me/blog/generating-random-points-in-a-sphere/#better-choice-of-spherical-coordinates\\n    float u = mergedRandom[0];\\n    float v = mergedRandom[1];\\n    float theta = u * 2.0 * PI;\\n    float phi = acos(2.0 * v - 1.0);\\n    float sinTheta = sin(theta);\\n    float cosTheta = cos(theta);\\n    float sinPhi = sin(phi);\\n    float cosPhi = cos(phi);\\n    return vec3(sinPhi * cosTheta, sinPhi * sinTheta, cosPhi);\\n  }\\n\\n  float computeLAO(vec3 posVC, vec4 normalVC, float originalOpacity) {\\n    // apply LAO only at selected locations, otherwise return full brightness\\n    if (normalVC.w &lt;= 0.0 || originalOpacity &lt;= 0.05) {\\n      return 1.0;\\n    }\\n\\n    #ifdef EnabledGradientOpacity\\n      float gradientOpacityFactor = computeGradientOpacityFactor(normalVC.w, 0);\\n    #endif\\n\\n    float visibilitySum = 0.0;\\n    float weightSum = 0.0;\\n    for (int i = 0; i &lt; volume.kernelSize; i++) {\\n      // Only sample on an hemisphere around the normalVC.xyz axis, so\\n      // normalDotRay should be negative\\n      vec3 rayDirectionVC = sampleDirectionUniform(i);\\n      float normalDotRay = dot(normalVC.xyz, rayDirectionVC);\\n      if (normalDotRay &gt; 0.0) {\\n        // Flip rayDirectionVC when it is in the wrong hemisphere\\n        rayDirectionVC = -rayDirectionVC;\\n        normalDotRay = -normalDotRay;\\n      }\\n\\n      vec3 currPosIS = posVCtoIS(posVC);\\n      float visibility = 1.0;\\n      vec3 randomDirStepIS = vecVCToIS(rayDirectionVC * sampleDistance);\\n      for (int j = 0; j &lt; volume.kernelRadius; j++) {\\n        currPosIS += randomDirStepIS;\\n        // If out of the volume, we are done\\n        if (any(lessThan(currPosIS, vec3(0.0))) ||\\n            any(greaterThan(currPosIS, vec3(1.0)))) {\\n          break;\\n        }\\n        float opacity = getOpacityFromTexture(getTextureValue(currPosIS).r, 0, 0.5);\\n        #ifdef EnabledGradientOpacity\\n          opacity *= gradientOpacityFactor;\\n        #endif\\n        visibility *= 1.0 - opacity;\\n        // If visibility is less than EPSILON, consider it to be 0\\n        if (visibility &lt; EPSILON) {\\n          visibility = 0.0;\\n          break;\\n        }\\n      }\\n      float rayWeight = -normalDotRay;\\n      visibilitySum += visibility * rayWeight;\\n      weightSum += rayWeight;\\n    }\\n\\n    // If no sample, LAO factor is one\\n    if (weightSum == 0.0) {\\n      return 1.0;\\n    }\\n\\n    // LAO factor is the average visibility:\\n    // - visibility low =&gt; ambient low\\n    // - visibility high =&gt; ambient high\\n    float lao = visibilitySum / weightSum;\\n\\n    // Reduce variance by clamping\\n    return clamp(lao, 0.3, 1.0);\\n  }\\n#endif\\n\\n//=======================================================================\\n// Volume shadows\\n#if vtkNumberOfLights &gt; 0\\n\\n  // Non-memoised version\\n  float computeVolumeShadowWithoutCache(vec3 posVC, vec3 lightDirNormVC) {\\n    // modify sample distance with a random number between 1.5 and 3.0\\n    float rayStepLength =\\n        volumeShadowSampleDistance * mix(1.5, 3.0, fragmentSeed);\\n\\n    // in case the first sample near surface has a very tiled light ray, we need\\n    // to offset start position\\n    vec3 initialPosVC = posVC + rayStepLength * lightDirNormVC;\\n\\n    #ifdef vtkClippingPlanesOn\\n      float clippingPlanesMaxDistance = infinity;\\n      for (int i = 0; i &lt; clip_numPlanes; ++i) {\\n        // Find distance of intersection with the plane\\n        // Points are clipped when:\\n        // dot(planeOrigin - (rayOrigin + distance * rayDirection), planeNormal) &gt; 0\\n        // This is equivalent to:\\n        // dot(planeOrigin - rayOrigin, planeNormal) - distance * dot(rayDirection,\\n        // planeNormal) &gt; 0.0\\n        // We precompute the dot products, so we clip ray points when:\\n        // dotOrigin - distance * dotDirection &gt; 0.0\\n        float dotOrigin =\\n            dot(vClipPlaneOrigins[i] - initialPosVC, vClipPlaneNormals[i]);\\n        if (dotOrigin &gt; 0.0) {\\n          // The initialPosVC is clipped by this plane\\n          return 1.0;\\n        }\\n        float dotDirection = dot(lightDirNormVC, vClipPlaneNormals[i]);\\n        if (dotDirection &lt; 0.0) {\\n          // We only hit the plane if dotDirection is negative, as (distance is\\n          // positive)\\n          float intersectionDistance =\\n              dotOrigin / dotDirection; // negative divided by negative =&gt; positive\\n          clippingPlanesMaxDistance =\\n              min(clippingPlanesMaxDistance, intersectionDistance);\\n        }\\n      }\\n    #endif\\n\\n    vec2 intersectionDistances =\\n        rayIntersectVolumeDistances(initialPosVC, lightDirNormVC);\\n\\n    if (intersectionDistances[1] &lt;= intersectionDistances[0] ||\\n        intersectionDistances[1] &lt;= 0.0) {\\n      // Volume not hit or behind the ray\\n      return 1.0;\\n    }\\n\\n    // When globalIlluminationReach is 0, no sample at all\\n    // When globalIlluminationReach is 1, the ray will go through the whole\\n    // volume\\n    float maxTravelDistance = mix(0.0, volume.diagonalLength,\\n                                  volume.globalIlluminationReach);\\n    float startDistance = max(intersectionDistances[0], 0.0);\\n    float endDistance = min(intersectionDistances[1], startDistance + maxTravelDistance);\\n    #ifdef vtkClippingPlanesOn\\n      endDistance = min(endDistance, clippingPlanesMaxDistance);\\n    #endif\\n    if (endDistance - startDistance &lt; 0.0) {\\n      return 1.0;\\n    }\\n\\n    // These two variables are used to compute posIS, without having to call\\n    // VCtoIS at each step\\n    vec3 initialPosIS = posVCtoIS(initialPosVC);\\n    // The light dir is scaled and rotated, but not translated, as it is a\\n    // vector (w = 0)\\n    vec3 scaledLightDirIS = vecVCToIS(lightDirNormVC);\\n\\n    float shadow = 1.0;\\n    for (float currentDistance = startDistance; currentDistance &lt;= endDistance;\\n          currentDistance += rayStepLength) {\\n      vec3 posIS = initialPosIS + currentDistance * scaledLightDirIS;\\n      vec4 scalar = getTextureValue(posIS);\\n      float opacity = getOpacityFromTexture(scalar.r, 0, 0.5);\\n      #if defined(EnabledGradientOpacity) &amp;&amp; !defined(EnabledIndependentComponents)\\n        vec3 scalarInterp[2];\\n        vec4 normal = computeNormalForDensity(posIS, scalarInterp, 3);\\n        float opacityFactor = computeGradientOpacityFactor(normal.w, 0);\\n        opacity *= opacityFactor;\\n      #endif\\n      shadow *= 1.0 - opacity;\\n\\n      // Early termination if shadow coeff is near 0.0\\n      if (shadow &lt; EPSILON) {\\n        return 0.0;\\n      }\\n    }\\n    return shadow;\\n  }\\n\\n  // Some cache for volume shadows\\n  struct {\\n    vec3 posVC;\\n    float shadow;\\n  } cachedShadows[vtkNumberOfLights];\\n\\n  // Memoised version\\n  float computeVolumeShadow(vec3 posVC, vec3 lightDirNormVC, int lightIdx) {\\n    if (posVC == cachedShadows[lightIdx].posVC) {\\n      return cachedShadows[lightIdx].shadow;\\n    }\\n    float shadow = computeVolumeShadowWithoutCache(posVC, lightDirNormVC);\\n    cachedShadows[lightIdx].posVC = posVC;\\n    cachedShadows[lightIdx].shadow = shadow;\\n    return shadow;\\n  }\\n\\n#endif\\n\\n//=======================================================================\\n// surface light contribution\\n#if vtkNumberOfLights &gt; 0\\n  vec3 applyLighting(vec3 tColor, vec4 normalVC) {\\n    vec3 diffuse = vec3(0.0, 0.0, 0.0);\\n    vec3 specular = vec3(0.0, 0.0, 0.0);\\n    for (int lightIdx = 0; lightIdx &lt; vtkNumberOfLights; lightIdx++) {\\n      float df = dot(normalVC.xyz, lights[lightIdx].directionVC);\\n      if (df &gt; 0.0) {\\n        diffuse += df * lights[lightIdx].color;\\n        float sf = dot(normalVC.xyz, -lights[lightIdx].halfAngleVC);\\n        if (sf &gt; 0.0) {\\n          specular += pow(sf, volume.specularPower) * lights[lightIdx].color;\\n        }\\n      }\\n    }\\n    return tColor * (diffuse * volume.diffuse + volume.ambient) +\\n          specular * volume.specular;\\n  }\\n\\n  vec3 applySurfaceShadowLighting(vec3 tColor, float alpha, vec3 posVC,\\n                                  vec4 normalVC) {\\n    // everything in VC\\n    vec3 diffuse = vec3(0.0);\\n    vec3 specular = vec3(0.0);\\n    for (int ligthIdx = 0; ligthIdx &lt; vtkNumberOfLights; ligthIdx++) {\\n      vec3 vertLightDirection;\\n      float attenuation;\\n      if (lights[ligthIdx].isPositional == 1) {\\n        vertLightDirection = posVC - lights[ligthIdx].positionVC;\\n        float lightDistance = length(vertLightDirection);\\n        // Normalize with precomputed length\\n        vertLightDirection = vertLightDirection / lightDistance;\\n        // Base attenuation\\n        vec3 attenuationPolynom = lights[ligthIdx].attenuation;\\n        attenuation =\\n            1.0 / (attenuationPolynom[0] +\\n                  lightDistance * (attenuationPolynom[1] +\\n                                    lightDistance * attenuationPolynom[2]));\\n        // Cone attenuation\\n        float coneDot = dot(vertLightDirection, lights[ligthIdx].directionVC);\\n        // Per OpenGL standard cone angle is 90 or less for a spot light\\n        if (lights[ligthIdx].coneAngle &lt;= 90.0) {\\n          if (coneDot &gt;= cos(radians(lights[ligthIdx].coneAngle))) {\\n            // Inside the cone\\n            attenuation *= pow(coneDot, lights[ligthIdx].exponent);\\n          } else {\\n            // Outside the cone\\n            attenuation = 0.0;\\n          }\\n        }\\n      } else {\\n        vertLightDirection = lights[ligthIdx].directionVC;\\n        attenuation = 1.0;\\n      }\\n\\n      float ndotL = dot(normalVC.xyz, vertLightDirection);\\n      if (ndotL &lt; 0.0 &amp;&amp; twoSidedLighting == 1) {\\n        ndotL = -ndotL;\\n      }\\n      if (ndotL &gt; 0.0) {\\n        // Diffuse\\n        diffuse += ndotL * attenuation * lights[ligthIdx].color;\\n        // Specular\\n        float vdotR =\\n            dot(-rayDirVC, normalize(vertLightDirection - 2.0 * ndotL * normalVC.xyz));\\n        if (vdotR &gt; 0.0) {\\n          specular += pow(vdotR, volume.specularPower) * attenuation *\\n                      lights[ligthIdx].color;\\n        }\\n      }\\n    }\\n    #if vtkMaxLaoKernelSize &gt; 0\\n      float laoFactor = computeLAO(posVC, normalVC, alpha);\\n    #else\\n      const float laoFactor = 1.0;\\n    #endif\\n    return tColor * (diffuse * volume.diffuse +\\n                    volume.ambient * laoFactor) +\\n          specular * volume.specular;\\n  }\\n\\n  vec3 applyVolumeShadowLighting(vec3 tColor, vec3 posVC) {\\n    // Here we have no effect of cones and no attenuation\\n    vec3 diffuse = vec3(0.0);\\n    for (int lightIdx = 0; lightIdx &lt; vtkNumberOfLights; lightIdx++) {\\n      vec3 lightDirVC = lights[lightIdx].isPositional == 1\\n                            ? normalize(lights[lightIdx].positionVC - posVC)\\n                            : -lights[lightIdx].directionVC;\\n      float shadowCoeff = computeVolumeShadow(posVC, lightDirVC, lightIdx);\\n      float phaseAttenuation = phaseFunction(dot(rayDirVC, lightDirVC));\\n      diffuse += phaseAttenuation * shadowCoeff * lights[lightIdx].color;\\n    }\\n    return tColor * (diffuse * volume.diffuse + volume.ambient);\\n  }\\n#endif\\n\\n// LAO of surface shadows and volume shadows only work with dependent components\\nvec3 applyAllLightning(vec3 tColor, float alpha, vec3 posVC,\\n                       vec4 surfaceNormalVC) {\\n  #if vtkNumberOfLights &gt; 0\\n    // 0 &lt;= volCoeff &lt; EPSILON =&gt; only surface shadows\\n    // EPSILON &lt;= volCoeff &lt; 1 - EPSILON =&gt; mix of surface and volume shadows\\n    // 1 - EPSILON &lt;= volCoeff =&gt; only volume shadows\\n    float volCoeff = volume.volumetricScatteringBlending *\\n                    (1.0 - alpha / 2.0) *\\n                    (1.0 - atan(surfaceNormalVC.w) * INV4PI);\\n\\n    // Compute surface lighting if needed\\n    vec3 surfaceShadedColor = tColor;\\n    #ifdef EnableSurfaceLighting\\n      if (volCoeff &lt; 1.0 - EPSILON) {\\n        surfaceShadedColor =\\n            applySurfaceShadowLighting(tColor, alpha, posVC, surfaceNormalVC);\\n      }\\n    #endif\\n\\n    // Compute volume lighting if needed\\n    vec3 volumeShadedColor = tColor;\\n    #ifdef EnableVolumeLighting\\n      if (volCoeff &gt;= EPSILON) {\\n        volumeShadedColor = applyVolumeShadowLighting(tColor, posVC);\\n      }\\n    #endif\\n\\n    // Return the right mix\\n    if (volCoeff &lt; EPSILON) {\\n      // Surface shadows\\n      return surfaceShadedColor;\\n    }\\n    if (volCoeff &gt;= 1.0 - EPSILON) {\\n      // Volume shadows\\n      return volumeShadedColor;\\n    }\\n    // Mix of surface and volume shadows\\n    return mix(surfaceShadedColor, volumeShadedColor, volCoeff);\\n  #endif\\n  return tColor;\\n}\\n\\nvec4 getColorForLabelOutline() {\\n  vec3 centerPosIS =\\n      fragCoordToIndexSpace(gl_FragCoord); // pos in texture space\\n  vec4 centerValue = getTextureValue(centerPosIS);\\n  bool pixelOnBorder = false;\\n  vec4 tColor = vec4(getColorFromTexture(centerValue.r, 0, 0.5),\\n                     getOpacityFromTexture(centerValue.r, 0, 0.5));\\n\\n  int segmentIndex = int(centerValue.r * 255.0);\\n\\n  // Use texture sampling for outlineThickness\\n  float textureCoordinate = float(segmentIndex - 1) / 1024.0;\\n  float textureValue =\\n      texture2D(labelOutlineThicknessTexture, vec2(textureCoordinate, 0.5)).r;\\n  int actualThickness = int(textureValue * 255.0);\\n\\n  // If it is the background (segment index 0), we should quickly bail out.\\n  // Previously, this was determined by tColor.a, which was incorrect as it\\n  // prevented the outline from appearing when the fill is 0.\\n  if (segmentIndex == 0) {\\n    return vec4(0, 0, 0, 0);\\n  }\\n\\n  // Only perform outline check on fragments rendering voxels that aren&#x27;t\\n  // invisible. Saves a bunch of needless checks on the background.\\n  // TODO define epsilon when building shader?\\n  for (int i = -actualThickness; i &lt;= actualThickness; i++) {\\n    for (int j = -actualThickness; j &lt;= actualThickness; j++) {\\n      if (i == 0 &amp;&amp; j == 0) {\\n        continue;\\n      }\\n\\n      vec4 neighborPixelCoord =\\n          vec4(gl_FragCoord.x + float(i), gl_FragCoord.y + float(j),\\n               gl_FragCoord.z, gl_FragCoord.w);\\n\\n      vec3 neighborPosIS = fragCoordToIndexSpace(neighborPixelCoord);\\n      vec4 value = getTextureValue(neighborPosIS);\\n\\n      // If any of my neighbours are not the same value as I\\n      // am, this means I am on the border of the segment.\\n      // We can break the loops\\n      if (any(notEqual(value, centerValue))) {\\n        pixelOnBorder = true;\\n        break;\\n      }\\n    }\\n\\n    if (pixelOnBorder == true) {\\n      break;\\n    }\\n  }\\n\\n  // If I am on the border, I am displayed at full opacity\\n  if (pixelOnBorder == true) {\\n    tColor.a = volume.outlineOpacity;\\n  }\\n\\n  return tColor;\\n}\\n\\nvec4 getColorForAdditivePreset(vec4 tValue, vec3 posVC, vec3 posIS) {\\n  // compute normals\\n  mat4 normalMat = computeMat4Normal(posIS, tValue);\\n  vec4 normalLights[2];\\n  normalLights[0] = normalMat[0];\\n  normalLights[1] = normalMat[1];\\n  #if vtkNumberOfLights &gt; 0\\n    if (volume.computeNormalFromOpacity == 1) {\\n      for (int component = 0; component &lt; 2; ++component) {\\n        vec3 scalarInterp[2];\\n        float height = volume.transferFunctionsSampleHeight[component];\\n        computeNormalForDensity(posIS, scalarInterp, component);\\n        normalLights[component] =\\n            computeDensityNormal(scalarInterp, height, 1.0, component);\\n      }\\n    }\\n  #endif\\n\\n  // compute opacities\\n  float opacities[2];\\n  opacities[0] = getOpacityFromTexture(\\n      tValue[0], 0, volume.transferFunctionsSampleHeight[0]);\\n  opacities[1] = getOpacityFromTexture(\\n      tValue[1], 1, volume.transferFunctionsSampleHeight[1]);\\n  #ifdef EnabledGradientOpacity\\n    for (int component = 0; component &lt; 2; ++component) {\\n      opacities[component] *=\\n          computeGradientOpacityFactor(normalMat[component].a, component);\\n    }\\n  #endif\\n  float opacitySum = opacities[0] + opacities[1];\\n  if (opacitySum &lt;= 0.0) {\\n    return vec4(0.0);\\n  }\\n\\n  // mix the colors and opacities\\n  vec3 colors[2];\\n  for (int component = 0; component &lt; 2; ++component) {\\n    float sampleHeight = volume.transferFunctionsSampleHeight[component];\\n    vec3 color = getColorFromTexture(tValue[component], component, sampleHeight);\\n    color = applyAllLightning(color, opacities[component], posVC,\\n                              normalLights[component]);\\n    colors[component] = color;\\n  }\\n  vec3 mixedColor =\\n      (opacities[0] * colors[0] + opacities[1] * colors[1]) / opacitySum;\\n  return vec4(mixedColor, min(1.0, opacitySum));\\n}\\n\\nvec4 getColorForColorizePreset(vec4 tValue, vec3 posVC, vec3 posIS) {\\n  // compute normals\\n  mat4 normalMat = computeMat4Normal(posIS, tValue);\\n  vec4 normalLight = normalMat[0];\\n  #if vtkNumberOfLights &gt; 0\\n    if (volume.computeNormalFromOpacity == 1) {\\n      vec3 scalarInterp[2];\\n      float height = volume.transferFunctionsSampleHeight[0];\\n      computeNormalForDensity(posIS, scalarInterp, 0);\\n      normalLight = computeDensityNormal(scalarInterp, height, 1.0, 0);\\n    }\\n  #endif\\n\\n  // compute opacities\\n  float opacity = getOpacityFromTexture(\\n      tValue[0], 0, volume.transferFunctionsSampleHeight[0]);\\n  #ifdef EnabledGradientOpacity\\n    opacity *= computeGradientOpacityFactor(normalMat[0].a, 0);\\n  #endif\\n\\n  // colorizing component\\n  vec3 colorizingColor = getColorFromTexture(\\n      tValue[0], 1, volume.transferFunctionsSampleHeight[1]);\\n  float colorizingOpacity = getOpacityFromTexture(\\n      tValue[1], 1, volume.transferFunctionsSampleHeight[1]);\\n\\n  // mix the colors and opacities\\n  vec3 color =\\n      getColorFromTexture(tValue[0], 0,\\n                          volume.transferFunctionsSampleHeight[0]) *\\n      mix(vec3(1.0), colorizingColor, colorizingOpacity);\\n  color = applyAllLightning(color, opacity, posVC, normalLight);\\n  return vec4(color, opacity);\\n}\\n\\nvec4 getColorForDefaultIndependentPreset(vec4 tValue, vec3 posIS) {\\n\\n  // compute the normal vectors as needed\\n  #if defined(EnabledGradientOpacity) || vtkNumberOfLights &gt; 0\\n    mat4 normalMat = computeMat4Normal(posIS, tValue);\\n  #endif\\n\\n  // process color and opacity for each component\\n  // initial value of alpha is determined by wether the first component is\\n  // proportional or not\\n  #if defined(vtkComponent0Proportional)\\n    // when it is proportional, it starts at 1 (neutral for multiplications)\\n    float alpha = 1.0;\\n  #else\\n    // when it is not proportional, it starts at 0 (neutral for additions)\\n    float alpha = 0.0;\\n  #endif\\n\\n  vec3 mixedColor = vec3(0.0);\\n  #if vtkNumberOfComponents &gt; 0\\n    {\\n      const int component = 0;\\n      vec3 color = getColorFromTexture(\\n          tValue[component], component,\\n          volume.transferFunctionsSampleHeight[component]);\\n      float opacity = getOpacityFromTexture(\\n          tValue[component], component,\\n          volume.transferFunctionsSampleHeight[component]);\\n      #if !defined(vtkComponent0Proportional)\\n        float alphaContribution = volume.independentComponentMix[component] * opacity;\\n        #ifdef EnabledGradientOpacity\\n          alphaContribution *= computeGradientOpacityFactor(normalMat[component].a, component);\\n        #endif\\n        alpha += alphaContribution;\\n        #if vtkNumberOfLights &gt; 0\\n          color = applyLighting(color, normalMat[component]);\\n        #endif\\n      #else\\n        color *= opacity;\\n        alpha *= mix(opacity, 1.0,\\n                    (1.0 - volume.independentComponentMix[component]));\\n      #endif\\n      mixedColor += volume.independentComponentMix[component] * color;\\n    }\\n  #endif\\n  #if vtkNumberOfComponents &gt; 1\\n    {\\n      const int component = 1;\\n      vec3 color = getColorFromTexture(\\n          tValue[component], component,\\n          volume.transferFunctionsSampleHeight[component]);\\n      float opacity = getOpacityFromTexture(\\n          tValue[component], component,\\n          volume.transferFunctionsSampleHeight[component]);\\n      #if !defined(vtkComponent1Proportional)\\n        float alphaContribution = volume.independentComponentMix[component] * opacity;\\n        #ifdef EnabledGradientOpacity\\n          alphaContribution *= computeGradientOpacityFactor(normalMat[component].a, component);\\n        #endif\\n        alpha += alphaContribution;\\n        #if vtkNumberOfLights &gt; 0\\n          color = applyLighting(color, normalMat[component]);\\n        #endif\\n      #else\\n        color *= opacity;\\n        alpha *= mix(opacity, 1.0,\\n                    (1.0 - volume.independentComponentMix[component]));\\n      #endif\\n      mixedColor += volume.independentComponentMix[component] * color;\\n    }\\n  #endif\\n  #if vtkNumberOfComponents &gt; 2\\n    {\\n      const int component = 2;\\n      vec3 color = getColorFromTexture(\\n          tValue[component], component,\\n          volume.transferFunctionsSampleHeight[component]);\\n      float opacity = getOpacityFromTexture(\\n          tValue[component], component,\\n          volume.transferFunctionsSampleHeight[component]);\\n      #if !defined(vtkComponent2Proportional)\\n        float alphaContribution = volume.independentComponentMix[component] * opacity;\\n        #ifdef EnabledGradientOpacity\\n          alphaContribution *= computeGradientOpacityFactor(normalMat[component].a, component);\\n        #endif\\n        alpha += alphaContribution;\\n        #if vtkNumberOfLights &gt; 0\\n          color = applyLighting(color, normalMat[component]);\\n        #endif\\n      #else\\n        color *= opacity;\\n        alpha *= mix(opacity, 1.0,\\n                    (1.0 - volume.independentComponentMix[component]));\\n      #endif\\n      mixedColor += volume.independentComponentMix[component] * color;\\n    }\\n  #endif\\n  #if vtkNumberOfComponents &gt; 3\\n    {\\n      const int component = 3;\\n      vec3 color = getColorFromTexture(\\n          tValue[component], component,\\n          volume.transferFunctionsSampleHeight[component]);\\n      float opacity = getOpacityFromTexture(\\n          tValue[component], component,\\n          volume.transferFunctionsSampleHeight[component]);\\n      #if !defined(vtkComponent3Proportional)\\n        float alphaContribution = volume.independentComponentMix[component] * opacity;\\n        #ifdef EnabledGradientOpacity\\n          alphaContribution *= computeGradientOpacityFactor(normalMat[component].a, component);\\n        #endif\\n        alpha += alphaContribution;\\n        #if vtkNumberOfLights &gt; 0\\n          color = applyLighting(color, normalMat[component]);\\n        #endif\\n      #else\\n        color *= opacity;\\n        alpha *= mix(opacity, 1.0,\\n                    (1.0 - volume.independentComponentMix[component]));\\n      #endif\\n      mixedColor += volume.independentComponentMix[component] * color;\\n    }\\n  #endif\\n\\n  return vec4(mixedColor, alpha);\\n}\\n\\nvec4 getColorForDependentComponents(vec4 tValue, vec3 posVC, vec3 posIS) {\\n  #if defined(EnabledGradientOpacity) || vtkNumberOfLights &gt; 0\\n    // use component 3 of the opacity texture as getTextureValue() sets alpha to\\n    // the opacity value\\n    vec3 scalarInterp[2];\\n    vec4 normal0 = computeNormalForDensity(posIS, scalarInterp, 3);\\n    float gradientOpacity = computeGradientOpacityFactor(normal0.a, 0);\\n  #endif\\n\\n  // get color and opacity\\n  #if vtkNumberOfComponents == 1\\n    vec3 tColor = getColorFromTexture(tValue.r, 0, 0.5);\\n    float alpha = getOpacityFromTexture(tValue.r, 0, 0.5);\\n  #endif\\n  #if vtkNumberOfComponents == 2\\n    vec3 tColor = vec3(tValue.r * volume.colorTextureScale[0] +\\n                  volume.colorTextureShift[0]);\\n    float alpha = getOpacityFromTexture(tValue.a, 1, 0.5);\\n  #endif\\n  #if vtkNumberOfComponents == 3\\n      vec3 tColor = tValue.rgb * volume.colorTextureScale.rgb +\\n              volume.colorTextureShift.rgb;\\n      float alpha = getOpacityFromTexture(tValue.a, 0, 0.5);\\n  #endif\\n  #if vtkNumberOfComponents == 4\\n      vec3 tColor = tValue.rgb * volume.colorTextureScale.rgb +\\n              volume.colorTextureShift.rgb;\\n      float alpha = getOpacityFromTexture(tValue.a, 3, 0.5);\\n  #endif\\n\\n  // Apply gradient opacity\\n  #if defined(EnabledGradientOpacity)\\n    alpha *= gradientOpacity;\\n  #endif\\n\\n  #if vtkNumberOfComponents == 1\\n    if (alpha &lt; EPSILON) {\\n      return vec4(0.0);\\n    }\\n  #endif\\n\\n  // lighting\\n  #if vtkNumberOfLights &gt; 0\\n    vec4 normalLight;\\n    if (volume.computeNormalFromOpacity == 1) {\\n      if (normal0[3] != 0.0) {\\n        normalLight =\\n            computeDensityNormal(scalarInterp, 0.5, gradientOpacity, 0);\\n        if (normalLight[3] == 0.0) {\\n          normalLight = normal0;\\n        }\\n      }\\n    } else {\\n      normalLight = normal0;\\n    }\\n    tColor = applyAllLightning(tColor, alpha, posVC, normalLight);\\n  #endif\\n\\n  return vec4(tColor, alpha);\\n}\\n\\nvec4 getColorForValue(vec4 tValue, vec3 posVC, vec3 posIS) {\\n  #ifdef EnableColorForValueFunctionId0\\n    return getColorForDependentComponents(tValue, posVC, posIS);\\n  #endif\\n\\n  #ifdef EnableColorForValueFunctionId1\\n    return getColorForAdditivePreset(tValue, posVC, posIS);\\n  #endif\\n\\n  #ifdef EnableColorForValueFunctionId2\\n    return getColorForColorizePreset(tValue, posVC, posIS);\\n  #endif\\n\\n  #ifdef EnableColorForValueFunctionId3\\n    /*\\n      * Mix the color information from all the independent components to get a\\n      * single rgba output. See other shader functions like\\n      * `getColorForAdditivePreset` to learn how to create a custom color mix.\\n      * The custom color mix should return a value, but if it doesn&#x27;t, it will\\n      * fallback on the default shading\\n      */\\n    //VTK::CustomColorMix\\n  #endif\\n\\n  #if defined(EnableColorForValueFunctionId4) || defined(EnableColorForValueFunctionId3)\\n    return getColorForDefaultIndependentPreset(tValue, posIS);\\n  #endif\\n\\n  #ifdef EnableColorForValueFunctionId5\\n    return getColorForLabelOutline();\\n  #endif\\n}\\n\\nbool valueWithinScalarRange(vec4 val) {\\n  #if vtkNumberOfComponents &gt; 1 &amp;&amp; !defined(EnabledIndependentComponents)\\n    return false;\\n  #endif\\n  vec4 rangeMin = volume.ipScalarRangeMin;\\n  vec4 rangeMax = volume.ipScalarRangeMax;\\n  for (int component = 0; component &lt; vtkNumberOfComponents; ++component) {\\n    if (val[component] &lt; rangeMin[component] ||\\n        rangeMax[component] &lt; val[component]) {\\n      return false;\\n    }\\n  }\\n  return true;\\n}\\n\\n#if vtkBlendMode == LABELMAP_EDGE_PROJECTION_BLEND\\n  bool checkOnEdgeForNeighbor(int xFragmentOffset, int yFragmentOffset,\\n                              int segmentIndex, vec3 stepIS) {\\n    vec3 volumeDimensions = vec3(volume.dimensions);\\n    vec4 neighborPixelCoord = vec4(gl_FragCoord.x + float(xFragmentOffset),\\n                                  gl_FragCoord.y + float(yFragmentOffset),\\n                                  gl_FragCoord.z, gl_FragCoord.w);\\n    vec3 originalNeighborPosIS = fragCoordToIndexSpace(neighborPixelCoord);\\n\\n    vec3 neighborPosIS = originalNeighborPosIS;\\n    for (int k = 0; k &lt; vtkMaximumNumberOfSamples / 2; ++k) {\\n      ivec3 texCoord = ivec3(neighborPosIS * volumeDimensions);\\n      vec4 texValue = rawFetchTexture(texCoord);\\n      if (int(texValue.g) == segmentIndex) {\\n        // not on edge\\n        return false;\\n      }\\n      neighborPosIS += stepIS;\\n    }\\n\\n    neighborPosIS = originalNeighborPosIS;\\n    for (int k = 0; k &lt; vtkMaximumNumberOfSamples / 2; ++k) {\\n      ivec3 texCoord = ivec3(neighborPosIS * volumeDimensions);\\n      vec4 texValue = rawFetchTexture(texCoord);\\n      if (int(texValue.g) == segmentIndex) {\\n        // not on edge\\n        return false;\\n      }\\n      neighborPosIS -= stepIS;\\n    }\\n\\n    // onedge\\n    float sampleHeight = volume.transferFunctionsSampleHeight[1];\\n    vec3 tColorSegment =\\n        getColorFromTexture(float(segmentIndex), 1, sampleHeight);\\n    float pwfValueSegment =\\n        getOpacityFromTexture(float(segmentIndex), 1, sampleHeight);\\n    gl_FragData[0] = vec4(tColorSegment, pwfValueSegment);\\n    return true;\\n  }\\n#endif\\n\\nvec4 getColorAtPos(vec3 posVC) {\\n  vec3 posIS = posVCtoIS(posVC);\\n  vec4 texValue = getTextureValue(posIS);\\n  return getColorForValue(texValue, posVC, posIS);\\n}\\n\\n//=======================================================================\\n// Apply the specified blend mode operation along the ray&#x27;s path.\\n//\\nvoid applyBlend(vec3 rayOriginVC, vec3 rayDirVC, float minDistance,\\n                float maxDistance) {\\n  // start slightly inside and apply some jitter\\n  vec3 stepVC = rayDirVC * sampleDistance;\\n  float raySteps = (maxDistance - minDistance) / sampleDistance;\\n\\n  // Avoid 0.0 jitter\\n  float jitter = 0.01 + 0.99 * fragmentSeed;\\n\\n  #if vtkBlendMode == COMPOSITE_BLEND\\n    // now map through opacity and color\\n    vec3 firstPosVC = rayOriginVC + minDistance * rayDirVC;\\n    vec4 firstColor = getColorAtPos(firstPosVC);\\n\\n    // handle very thin volumes\\n    if (raySteps &lt;= 1.0) {\\n      firstColor.a = 1.0 - pow(1.0 - firstColor.a, raySteps);\\n      gl_FragData[0] = firstColor;\\n      return;\\n    }\\n\\n    // first color only counts for `jitter` factor of the step\\n    firstColor.a = 1.0 - pow(1.0 - firstColor.a, jitter);\\n    vec4 color = vec4(firstColor.rgb * firstColor.a, firstColor.a);\\n    vec3 posVC = firstPosVC + jitter * stepVC;\\n    float stepsTraveled = jitter;\\n\\n    for (int i = 0; i &lt; vtkMaximumNumberOfSamples; ++i) {\\n      // If we have reached the last step, break\\n      if (stepsTraveled + 1.0 &gt;= raySteps) {\\n        break;\\n      }\\n      vec4 tColor = getColorAtPos(posVC);\\n\\n      color = color + vec4(tColor.rgb * tColor.a, tColor.a) * (1.0 - color.a);\\n      stepsTraveled++;\\n      posVC += stepVC;\\n      if (color.a &gt; 0.99) {\\n        color.a = 1.0;\\n        break;\\n      }\\n    }\\n\\n    if (color.a &lt; 0.99 &amp;&amp; (raySteps - stepsTraveled) &gt; 0.0) {\\n      vec3 endPosVC = rayOriginVC + maxDistance * rayDirVC;\\n      vec4 tColor = getColorAtPos(endPosVC);\\n      tColor.a = 1.0 - pow(1.0 - tColor.a, raySteps - stepsTraveled);\\n\\n      float mix = (1.0 - color.a);\\n      color = color + vec4(tColor.rgb * tColor.a, tColor.a) * mix;\\n    }\\n\\n    gl_FragData[0] = vec4(color.rgb / color.a, color.a);\\n  #endif\\n\\n  #if vtkBlendMode == MAXIMUM_INTENSITY_BLEND ||                                 \\\\\\n      vtkBlendMode == MINIMUM_INTENSITY_BLEND\\n    // Find maximum/minimum intensity along the ray.\\n\\n    // Define the operation we will use (min or max)\\n    #if vtkBlendMode == MAXIMUM_INTENSITY_BLEND\\n      #define OP max\\n    #else\\n      #define OP min\\n    #endif\\n\\n    vec3 posVC = rayOriginVC + minDistance * rayDirVC;\\n    float stepsTraveled = 0.0;\\n\\n    // Find a value to initialize the selected variables\\n    vec4 selectedValue;\\n    vec3 selectedPosVC;\\n    vec3 selectedPosIS;\\n    {\\n      vec3 posIS = posVCtoIS(posVC);\\n      selectedValue = getTextureValue(posIS);\\n      selectedPosVC = posVC;\\n      selectedPosIS = posIS;\\n    }\\n\\n    // If the clipping range is shorter than the sample distance\\n    // we can skip the sampling loop along the ray.\\n    if (raySteps &lt;= 1.0) {\\n      gl_FragData[0] = getColorForValue(selectedValue, selectedPosVC, selectedPosIS);\\n      return;\\n    }\\n\\n    posVC += jitter * stepVC;\\n    stepsTraveled += jitter;\\n\\n    // Sample along the ray until vtkMaximumNumberOfSamples,\\n    // ending slightly inside the total distance\\n    for (int i = 0; i &lt; vtkMaximumNumberOfSamples; ++i) {\\n      // If we have reached the last step, break\\n      if (stepsTraveled + 1.0 &gt;= raySteps) {\\n        break;\\n      }\\n\\n      // Get selected values\\n      vec3 posIS = posVCtoIS(posVC);\\n      vec4 previousSelectedValue = selectedValue;\\n      vec4 currentValue = getTextureValue(posIS);\\n      selectedValue = OP(selectedValue, currentValue);\\n      if (previousSelectedValue != selectedValue) {\\n        selectedPosVC = posVC;\\n        selectedPosIS = posIS;\\n      }\\n\\n      // Otherwise, continue along the ray\\n      stepsTraveled++;\\n      posVC += stepVC;\\n    }\\n\\n    // Perform the last step along the ray using the\\n    // residual distance\\n    posVC = rayOriginVC + maxDistance * rayDirVC;\\n    {\\n      vec3 posIS = posVCtoIS(posVC);\\n      vec4 previousSelectedValue = selectedValue;\\n      vec4 currentValue = getTextureValue(posIS);\\n      selectedValue = OP(selectedValue, currentValue);\\n      if (previousSelectedValue != selectedValue) {\\n        selectedPosVC = posVC;\\n        selectedPosIS = posIS;\\n      }\\n    }\\n\\n    gl_FragData[0] = getColorForValue(selectedValue, selectedPosVC, selectedPosIS);\\n  #endif\\n\\n  #if vtkBlendMode == ADDITIVE_INTENSITY_BLEND ||                                \\\\\\n      vtkBlendMode == AVERAGE_INTENSITY_BLEND\\n    vec4 sum = vec4(0.);\\n    #if vtkBlendMode == AVERAGE_INTENSITY_BLEND\\n      float totalWeight = 0.0;\\n    #endif\\n    vec3 posVC = rayOriginVC + minDistance * rayDirVC;\\n    float stepsTraveled = 0.0;\\n\\n    vec3 posIS = posVCtoIS(posVC);\\n    vec4 value = getTextureValue(posIS);\\n\\n    if (raySteps &lt;= 1.0) {\\n      gl_FragData[0] = getColorForValue(value * raySteps, posVC, posIS);\\n      return;\\n    }\\n\\n    if (valueWithinScalarRange(value)) {\\n      sum += value * jitter;\\n      #if vtkBlendMode == AVERAGE_INTENSITY_BLEND\\n        totalWeight += jitter;\\n      #endif\\n    }\\n    posVC += jitter * stepVC;\\n    stepsTraveled += jitter;\\n\\n    // Sample along the ray until vtkMaximumNumberOfSamples,\\n    // ending slightly inside the total distance\\n    for (int i = 0; i &lt; vtkMaximumNumberOfSamples; ++i) {\\n      // If we have reached the last step, break\\n      if (stepsTraveled + 1.0 &gt;= raySteps) {\\n        break;\\n      }\\n\\n      posIS = posVCtoIS(posVC);\\n      value = getTextureValue(posIS);\\n      // One can control the scalar range by setting the AverageIPScalarRange to\\n      // disregard scalar values, not in the range of interest, from the average\\n      // computation. Notes:\\n      // - We are comparing all values in the texture to see if any of them\\n      //   are outside of the scalar range. In the future we might want to allow\\n      //   scalar ranges for each component.\\n      if (valueWithinScalarRange(value)) {\\n        sum += value;\\n        #if vtkBlendMode == AVERAGE_INTENSITY_BLEND\\n          totalWeight++;\\n        #endif\\n      }\\n\\n      stepsTraveled++;\\n      posVC += stepVC;\\n    }\\n\\n    // Perform the last step along the ray using the\\n    // residual distance\\n    posVC = rayOriginVC + maxDistance * rayDirVC;\\n    posIS = posVCtoIS(posVC);\\n    value = getTextureValue(posIS);\\n    if (valueWithinScalarRange(value)) {\\n      sum += value;\\n      #if vtkBlendMode == AVERAGE_INTENSITY_BLEND\\n        totalWeight += raySteps - stepsTraveled;\\n      #endif\\n    }\\n\\n    #if vtkBlendMode == AVERAGE_INTENSITY_BLEND\\n      sum /= vec4(totalWeight, totalWeight, totalWeight, 1.0);\\n    #endif\\n\\n    gl_FragData[0] = getColorForValue(sum, posVC, posIS);\\n  #endif\\n\\n  #if vtkBlendMode == RADON_TRANSFORM_BLEND\\n    float normalizedRayIntensity = 1.0;\\n    vec3 posVC = rayOriginVC + minDistance * rayDirVC;\\n    float stepsTraveled = 0.0;\\n\\n    // handle very thin volumes\\n    if (raySteps &lt;= 1.0) {\\n      vec3 posIS = posVCtoIS(posVC);\\n      vec4 tValue = getTextureValue(posIS);\\n      normalizedRayIntensity -= raySteps * sampleDistance *\\n                                getOpacityFromTexture(tValue.r, 0, 0.5);\\n      gl_FragData[0] =\\n          vec4(getColorFromTexture(normalizedRayIntensity, 0, 0.5), 1.0);\\n      return;\\n    }\\n\\n    posVC += jitter * stepVC;\\n    stepsTraveled += jitter;\\n\\n    for (int i = 0; i &lt; vtkMaximumNumberOfSamples; ++i) {\\n      if (stepsTraveled + 1.0 &gt;= raySteps) {\\n        break;\\n      }\\n\\n      vec3 posIS = posVCtoIS(posVC);\\n      vec4 value = getTextureValue(posIS);\\n      // Convert scalar value to normalizedRayIntensity coefficient and\\n      // accumulate normalizedRayIntensity\\n      normalizedRayIntensity -=\\n          sampleDistance * getOpacityFromTexture(value.r, 0, 0.5);\\n\\n      posVC += stepVC;\\n      stepsTraveled++;\\n    }\\n\\n    // map normalizedRayIntensity to color\\n    gl_FragData[0] =\\n        vec4(getColorFromTexture(normalizedRayIntensity, 0, 0.5), 1.0);\\n  #endif\\n\\n  #if vtkBlendMode == LABELMAP_EDGE_PROJECTION_BLEND\\n    // Only works with a single volume\\n    vec3 posVC = rayOriginVC + minDistance * rayDirVC;\\n    float stepsTraveled = 0.0;\\n    vec3 posIS = posVCtoIS(posVC);\\n    vec4 tValue = getTextureValue(posIS);\\n    if (raySteps &lt;= 1.0) {\\n      gl_FragData[0] = getColorForValue(tValue, posVC, posIS);\\n      return;\\n    }\\n\\n    vec3 stepIS = vecVCToIS(stepVC);\\n    vec4 value = tValue;\\n    posIS += jitter * stepIS;\\n    stepsTraveled += jitter;\\n    vec3 maxPosIS = posIS; // Store the position of the max value\\n    int segmentIndex = int(value.g);\\n    bool originalPosHasSeenNonZero = false;\\n\\n    if (segmentIndex != 0) {\\n      // Tried using the segment index in an boolean array but reading\\n      // from the array by dynamic indexing was horrondously slow\\n      // so use bit masking instead and assign 1 to the bit corresponding to the\\n      // segment index and later check if the bit is set via bit operations\\n      setLabelOutlineBit(segmentIndex);\\n    }\\n\\n    // Sample along the ray until vtkMaximumNumberOfSamples,\\n    // ending slightly inside the total distance\\n    for (int i = 0; i &lt; vtkMaximumNumberOfSamples; ++i) {\\n      // If we have reached the last step, break\\n      if (stepsTraveled + 1.0 &gt;= raySteps) {\\n        break;\\n      }\\n\\n      // compute the scalar\\n      tValue = getTextureValue(posIS);\\n      segmentIndex = int(tValue.g);\\n\\n      if (segmentIndex != 0) {\\n        originalPosHasSeenNonZero = true;\\n        setLabelOutlineBit(segmentIndex);\\n      }\\n\\n      if (tValue.r &gt; value.r) {\\n        value = tValue;   // Update the max value\\n        maxPosIS = posIS; // Update the position where max occurred\\n      }\\n\\n      // Otherwise, continue along the ray\\n      stepsTraveled++;\\n      posIS += stepIS;\\n    }\\n\\n    // Perform the last step along the ray using the\\n    // residual distance\\n    posIS = posVCtoIS(rayOriginVC + maxDistance * rayDirVC);\\n    tValue = getTextureValue(posIS);\\n\\n    if (tValue.r &gt; value.r) {\\n      value = tValue;   // Update the max value\\n      maxPosIS = posIS; // Update the position where max occurred\\n    }\\n\\n    // If we have not seen any non-zero segments, we can return early\\n    // and grab color from the actual center value first component (image)\\n    if (!originalPosHasSeenNonZero) {\\n      vec3 maxPosVC = posIStoVC(maxPosIS);\\n      gl_FragData[0] = getColorForValue(value, maxPosVC, maxPosIS);\\n      return;\\n    }\\n\\n    vec3 neighborRayStepsIS = stepIS;\\n    float neighborRaySteps = raySteps;\\n    bool shouldLookInAllNeighbors = false;\\n\\n    vec3 volumeSpacings = volume.spacing;\\n    float minVoxelSpacing =\\n        min(volumeSpacings[0], min(volumeSpacings[1], volumeSpacings[2]));\\n    vec4 base =\\n        vec4(gl_FragCoord.x, gl_FragCoord.y, gl_FragCoord.z, gl_FragCoord.w);\\n\\n    vec4 baseXPlus = vec4(gl_FragCoord.x + 1.0, gl_FragCoord.y, gl_FragCoord.z,\\n                          gl_FragCoord.w);\\n    vec4 baseYPlus = vec4(gl_FragCoord.x, gl_FragCoord.y + 1.0, gl_FragCoord.z,\\n                          gl_FragCoord.w);\\n\\n    vec3 baseWorld = fragCoordToWorld(base);\\n    vec3 baseXPlusWorld = fragCoordToWorld(baseXPlus);\\n    vec3 baseYPlusWorld = fragCoordToWorld(baseYPlus);\\n\\n    float XPlusDiff = length(baseXPlusWorld - baseWorld);\\n    float YPlusDiff = length(baseYPlusWorld - baseWorld);\\n\\n    float minFragSpacingWorld = min(XPlusDiff, YPlusDiff);\\n\\n    for (int s = 1; s &lt; MAX_SEGMENT_INDEX; s++) {\\n      // bail out quickly if the segment index has not\\n      // been seen by the center segment\\n      if (!isLabelOutlineBitSet(s)) {\\n        continue;\\n      }\\n\\n      // Use texture sampling for outlineThickness so that we can have\\n      // per segment thickness\\n      float textureCoordinate = float(s - 1) / 1024.0;\\n      float textureValue =\\n          texture2D(labelOutlineThicknessTexture, vec2(textureCoordinate, 0.5)).r;\\n\\n      int actualThickness = int(textureValue * 255.0);\\n\\n      // check the extreme points in the neighborhood since there is a better\\n      // chance of finding the edge there, so that we can bail out\\n      // faster if we find the edge\\n      bool onEdge = checkOnEdgeForNeighbor(-actualThickness, -actualThickness, s,\\n                                          stepIS) ||\\n                    checkOnEdgeForNeighbor(actualThickness, actualThickness, s,\\n                                          stepIS) ||\\n                    checkOnEdgeForNeighbor(actualThickness, -actualThickness, s,\\n                                          stepIS) ||\\n                    checkOnEdgeForNeighbor(-actualThickness, +actualThickness, s,\\n                                          stepIS);\\n\\n      if (onEdge) {\\n        return;\\n      }\\n\\n      // since the next step is computationally expensive, we need to perform\\n      // some optimizations to avoid it if possible. One of the optimizations\\n      // is to check the whether the minimum of the voxel spacing is greater than\\n      // the 2 * the thickness of the outline segment. If that is the case\\n      // then we can safely skip the next step since we can be sure that the\\n      // the previous 4 checks on the extreme points would caught the entirety\\n      // of the all the fragments inside. i.e., this happens when we zoom out,\\n      if (minVoxelSpacing &gt;\\n          (2.0 * float(actualThickness) - 1.0) * minFragSpacingWorld) {\\n        continue;\\n      }\\n\\n      // Loop through the rest, skipping the processed extremes and the center\\n      for (int i = -actualThickness; i &lt;= actualThickness; i++) {\\n        for (int j = -actualThickness; j &lt;= actualThickness; j++) {\\n          if (i == 0 &amp;&amp; j == 0)\\n            continue; // Skip the center\\n          if (abs(i) == actualThickness &amp;&amp; abs(j) == actualThickness)\\n            continue; // Skip corners\\n          if (checkOnEdgeForNeighbor(i, j, s, stepIS)) {\\n            return;\\n          }\\n        }\\n      }\\n    }\\n\\n    float sampleHeight = volume.transferFunctionsSampleHeight[0];\\n    vec3 tColor0 = getColorFromTexture(value.r, 0, sampleHeight);\\n    float pwfValue0 = getOpacityFromTexture(value.r, 0, sampleHeight);\\n    gl_FragData[0] = vec4(tColor0, pwfValue0);\\n  #endif\\n}\\n\\n//=======================================================================\\n// given a\\n// - ray direction (rayDir)\\n// - starting point (vertexVCVSOutput)\\n// - bounding planes of the volume\\n// - optionally depth buffer values\\n// - far clipping plane\\n// compute the start/end distances of the ray we need to cast\\nvec2 computeRayDistances(vec3 rayOriginVC, vec3 rayDirVC) {\\n  vec2 dists = rayIntersectVolumeDistances(rayOriginVC, rayDirVC);\\n\\n  //VTK::ClipPlane::Impl\\n\\n  // do not go behind front clipping plane\\n  dists.x = max(0.0, dists.x);\\n\\n  // do not go PAST far clipping plane\\n  float farDist = -camThick / rayDirVC.z;\\n  dists.y = min(farDist, dists.y);\\n\\n  // Do not go past the zbuffer value if set\\n  // This is used for intermixing opaque geometry\\n  //VTK::ZBuffer::Impl\\n\\n  return dists;\\n}\\n\\nfloat getFragmentSeed() {\\n  // This first noise has a diagonal pattern\\n  float firstNoise =\\n      fract(sin(dot(gl_FragCoord.xy, vec2(12.9898, 78.233))) * 43758.5453);\\n  // This second noise is made out of blocks of CPU generated noise\\n  float secondNoise = texture2D(jtexture, gl_FragCoord.xy / 32.0).r;\\n  // Combine the two sources of noise in a way that the distribution is uniform\\n  // in [0,1[\\n  float noiseSum = firstNoise + secondNoise;\\n  return noiseSum &lt; 1.0 ? noiseSum : noiseSum - 1.0;\\n}\\n\\nvoid main() {\\n  fragmentSeed = getFragmentSeed();\\n\\n  if (cameraParallel == 1) {\\n    // Camera is parallel, so the rayDir is just the direction of the camera.\\n    rayDirVC = vec3(0.0, 0.0, -1.0);\\n  } else {\\n    // camera is at 0,0,0 so rayDir for perspective is just the vc coord\\n    rayDirVC = normalize(vertexVCVSOutput);\\n  }\\n\\n  vec3 rayOriginVC = vertexVCVSOutput;\\n  vec2 rayStartEndDistancesVC = computeRayDistances(rayOriginVC, rayDirVC);\\n  if (rayStartEndDistancesVC[1] &lt;= rayStartEndDistancesVC[0] ||\\n      rayStartEndDistancesVC[1] &lt;= 0.0) {\\n    // Volume not hit or behind the ray\\n    discard;\\n  }\\n\\n  // Perform the blending operation along the ray\\n  applyBlend(rayOriginVC, rayDirVC, rayStartEndDistancesVC[0], rayStartEndDistancesVC[1]);\\n}\\n&quot;,e.Geometry=&quot;&quot;},e.replaceShaderValues=(e,n,r)=&gt;{let o=e.Fragment;o=vd.substitute(o,&quot;//VTK::EnabledColorFunctions&quot;,`#define EnableColorForValueFunctionId${t.previousState.colorForValueFunctionId}`).result;const a=[];t.previousState.surfaceLightingEnabled&amp;&amp;a.push(&quot;Surface&quot;),t.previousState.volumeLightingEnabled&amp;&amp;a.push(&quot;Volume&quot;),o=vd.substitute(o,&quot;//VTK::EnabledLightings&quot;,a.map((e=&gt;`#define Enable${e}Lighting`))).result,t.previousState.multiTexturePerVolumeEnabled&amp;&amp;(o=vd.substitute(o,&quot;//VTK::EnabledMultiTexturePerVolume&quot;,&quot;#define EnabledMultiTexturePerVolume&quot;).result),t.previousState.useIndependentComponents&amp;&amp;(o=vd.substitute(o,&quot;//VTK::EnabledIndependentComponents&quot;,&quot;#define EnabledIndependentComponents&quot;).result),t.previousState.gradientOpacityEnabled&amp;&amp;(o=vd.substitute(o,&quot;//VTK::EnabledGradientOpacity&quot;,&quot;#define EnabledGradientOpacity&quot;).result),o=vd.substitute(o,&quot;//VTK::vtkProportionalComponents&quot;,t.previousState.proportionalComponents.map((e=&gt;`#define vtkComponent${e}Proportional`)).join(&quot;\\n&quot;)).result,o=vd.substitute(o,&quot;//VTK::vtkForceNearestComponents&quot;,t.previousState.forceNearestComponents.map((e=&gt;`#define vtkComponent${e}ForceNearest`)).join(&quot;\\n&quot;)).result,t.previousState.hasZBufferTexture&amp;&amp;(o=vd.substitute(o,&quot;//VTK::ZBuffer::Dec&quot;,[&quot;uniform sampler2D zBufferTexture;&quot;,&quot;uniform float vpZWidth;&quot;,&quot;uniform float vpZHeight;&quot;]).result,o=vd.substitute(o,&quot;//VTK::ZBuffer::Impl&quot;,[&quot;vec4 depthVec = texture2D(zBufferTexture, vec2(gl_FragCoord.x / vpZWidth, gl_FragCoord.y/vpZHeight));&quot;,&quot;float zdepth = (depthVec.r*256.0 + depthVec.g)/257.0;&quot;,&quot;zdepth = zdepth * 2.0 - 1.0;&quot;,&quot;if (cameraParallel == 0) {&quot;,&quot;zdepth = -2.0 * camFar * camNear / (zdepth*(camFar-camNear)-(camFar+camNear)) - camNear;}&quot;,&quot;else {&quot;,&quot;zdepth = (zdepth + 1.0) * 0.5 * (camFar - camNear);}\\n&quot;,&quot;zdepth = -zdepth/rayDirVC.z;&quot;,&quot;dists.y = min(zdepth,dists.y);&quot;]).result),o=vd.substitute(o,&quot;//VTK::BlendMode&quot;,`${t.previousState.blendMode}`).result,o=vd.substitute(o,&quot;//VTK::NumberOfLights&quot;,`${t.previousState.numberOfLights}`).result,o=vd.substitute(o,&quot;//VTK::MaxLaoKernelSize&quot;,`${t.previousState.maxLaoKernelSize}`).result,o=vd.substitute(o,&quot;//VTK::NumberOfComponents&quot;,`${t.previousState.numberOfComponents}`).result,o=vd.substitute(o,&quot;//VTK::MaximumNumberOfSamples&quot;,`${t.previousState.maximumNumberOfSamples}`).result,e.Fragment=o;const i=t.previousState.numberOfClippingPlanes;i&gt;0&amp;&amp;(o=vd.substitute(o,&quot;//VTK::ClipPlane::Dec&quot;,[&quot;uniform vec3 vClipPlaneNormals[6];&quot;,&quot;uniform float vClipPlaneDistances[6];&quot;,&quot;uniform vec3 vClipPlaneOrigins[6];&quot;,&quot;uniform int clip_numPlanes;&quot;,&quot;//VTK::ClipPlane::Dec&quot;,&quot;#define vtkClippingPlanesOn&quot;],!1).result,o=vd.substitute(o,&quot;//VTK::ClipPlane::Impl&quot;,[`for(int i = 0; i &lt; ${i}; i++) {`,&quot;  float rayDirRatio = dot(rayDirVC, vClipPlaneNormals[i]);&quot;,&quot;  float equationResult = dot(vertexVCVSOutput, vClipPlaneNormals[i]) + vClipPlaneDistances[i];&quot;,&quot;  if (rayDirRatio == 0.0)&quot;,&quot;  {&quot;,&quot;    if (equationResult &lt; 0.0) dists.x = dists.y;&quot;,&quot;    continue;&quot;,&quot;  }&quot;,&quot;  float result = -1.0 * equationResult / rayDirRatio;&quot;,&quot;  if (rayDirRatio &lt; 0.0) dists.y = min(dists.y, result);&quot;,&quot;  else dists.x = max(dists.x, result);&quot;,&quot;}&quot;,&quot;//VTK::ClipPlane::Impl&quot;],!1).result),e.Fragment=o},e.getNeedToRebuildShaders=(r,o,a)=&gt;{const i=!!t.zBufferTexture,s=t.currentValidInputs.length,l=t.numberOfLights,c=t.numberOfComponents,u=t.useIndependentComponents,d=a.getProperties(),p=t.currentValidInputs[0],f=d[p.inputIndex],g=s&gt;1,m=p.imageData.getBounds(),h=Hi.getDiagonalLength(m),v=Math.ceil(h/e.getCurrentSampleDistance(o));v&gt;t.renderable.getMaximumSamplesPerRay()&amp;&amp;Tg(`The number of steps required ${v} is larger than the specified maximum number of steps ${t.renderable.getMaximumSamplesPerRay()}.\\nPlease either change the volumeMapper sampleDistance or its maximum number of samples.`);const T=u?c:1;let x=!1;for(let e=0;e&lt;T;++e)if(f.getUseGradientOpacity(e)){x=!0;break}let y=0;const b=f.getLAOKernelSize();b&gt;y&amp;&amp;f.getLocalAmbientOcclusion()&amp;&amp;f.getAmbient()&gt;0&amp;&amp;(y=b);const A=t.renderable.getClippingPlanes().length,C=t.renderable.getViewSpecificProperties().OpenGL?.ShaderReplacements,S=t.currentRenderPass?.getShaderReplacement(),P=t.renderable.getBlendMode(),w=(()=&gt;{if(P!==hg.LABELMAP_EDGE_PROJECTION_BLEND&amp;&amp;n(f))return 5;if(u)switch(f.getColorMixPreset()){case gg.ADDITIVE:return 1;case gg.COLORIZE:return 2;case gg.CUSTOM:return 3;default:return 4}return 0})(),I=f.getVolumetricScatteringBlending()&lt;1,O=f.getVolumetricScatteringBlending()&gt;0;let R=!1;for(let e=0;e&lt;c;++e)if(f.getForceNearestInterpolation(e)){R=!0;break}const M=[],D=[];for(let e=0;e&lt;c;e++)f.getOpacityMode(e)===fg.PROPORTIONAL&amp;&amp;M.push(e),f.getForceNearestInterpolation(e)&amp;&amp;D.push(e);const E={numberOfComponents:c,useIndependentComponents:u,proportionalComponents:M,forceNearestComponents:D,blendMode:P,numberOfLights:l,numberOfValidInputs:s,maximumNumberOfSamples:v,hasZBufferTexture:i,maxLaoKernelSize:y,numberOfClippingPlanes:A,mapperShaderReplacements:C,renderPassShaderReplacements:S,colorForValueFunctionId:w,surfaceLightingEnabled:I,volumeLightingEnabled:O,forceNearestInterpolationEnabled:R,multiTexturePerVolumeEnabled:g,gradientOpacityEnabled:x};return(0===r.getProgram()?.getHandle()||!t.previousState||!xe(t.previousState,E))&amp;&amp;(t.previousState=E,!0)},e.updateShaders=(n,r,o)=&gt;{if(e.getNeedToRebuildShaders(n,r,o)){const a={Vertex:null,Fragment:null,Geometry:null};e.buildShaders(a,r,o);const i=t._openGLRenderWindow.getShaderCache().readyShaderProgramArray(a.Vertex,a.Fragment,a.Geometry);i!==n.getProgram()&amp;&amp;(n.setProgram(i),n.getVAO().releaseGraphicsResources()),n.getShaderSourceTime().modified()}else t._openGLRenderWindow.getShaderCache().readyShaderProgram(n.getProgram());n.getVAO().bind(),e.setMapperShaderParameters(n,r,o),e.setCameraShaderParameters(n,r,o),e.setPropertyShaderParameters(n,r,o),e.getClippingPlaneShaderParameters(n,r,o)},e.setMapperShaderParameters=(n,r,o)=&gt;{const a=n.getProgram();n.getCABO().getElementCount()&amp;&amp;(t.VBOBuildTime.getMTime()&gt;n.getAttributeUpdateTime().getMTime()||n.getShaderSourceTime().getMTime()&gt;n.getAttributeUpdateTime().getMTime())&amp;&amp;(a.isAttributeUsed(&quot;vertexDC&quot;)&amp;&amp;(n.getVAO().addAttributeArray(a,n.getCABO(),&quot;vertexDC&quot;,n.getCABO().getVertexOffset(),n.getCABO().getStride(),t.context.FLOAT,3,t.context.FALSE)||xg(&quot;Error setting vertexDC in shader VAO.&quot;)),n.getAttributeUpdateTime().modified());const i=e.getCurrentSampleDistance(r);a.setUniformf(&quot;sampleDistance&quot;,i);const s=i*t.renderable.getVolumeShadowSamplingDistFactor();a.setUniformf(&quot;volumeShadowSampleDistance&quot;,s),t.scalarTextures.forEach(((e,t)=&gt;{a.setUniformi(`volumeTexture[${t}]`,e.getTextureUnit())}));const l=o.getProperties()[t.currentValidInputs[0].inputIndex].getIpScalarRange(),c=new Float32Array(4),u=new Float32Array(4),d=(e,t,n)=&gt;{t?.dataComputedScale?.length&amp;&amp;(c[e]=l[0]*t.dataComputedScale[n]+t.dataComputedOffset[n],u[e]=l[1]*t.dataComputedScale[n]+t.dataComputedOffset[n],c[e]=(c[e]-t.offset[n])/t.scale[n],u[e]=(u[e]-t.offset[n])/t.scale[n])};if(t.previousState.multiTexturePerVolumeEnabled)t.scalarTextures.forEach(((e,t)=&gt;{const n=e.getVolumeInfo();d(t,n,0)}));else{const e=t.scalarTextures[0].getVolumeInfo();for(let t=0;t&lt;4;++t)d(t,e,t)}const p=&quot;volume&quot;;if(a.setUniform4f(`${p}.ipScalarRangeMin`,c[0],c[1],c[2],c[3]),a.setUniform4f(`${p}.ipScalarRangeMax`,u[0],u[1],u[2],u[3]),null!==t.zBufferTexture){a.setUniformi(&quot;zBufferTexture&quot;,t.zBufferTexture.getTextureUnit());const e=t._useSmallViewport?[t._smallViewportWidth,t._smallViewportHeight]:t._openGLRenderWindow.getFramebufferSize();a.setUniformf(&quot;vpZWidth&quot;,e[0]),a.setUniformf(&quot;vpZHeight&quot;,e[1])}},e.setCameraShaderParameters=(r,o,a)=&gt;{const{idxToView:i,vecISToVCMatrix:s,modelToView:l,projectionToView:c,projectionToWorld:u}=yg,f=t.openGLCamera.getKeyMatrices(o),g=t.openGLVolume.getKeyMatrices();A(l,f.wcvc,g.mcwc);const m=r.getProgram(),h=t.openGLCamera.getRenderable(),v=h.getParallelProjection(),T=h.getClippingRange();m.setUniformf(&quot;camThick&quot;,T[1]-T[0]),m.setUniformf(&quot;camNear&quot;,T[0]),m.setUniformf(&quot;camFar&quot;,T[1]),m.setUniformi(&quot;cameraParallel&quot;,v);const x=t.currentValidInputs[0],y=x.imageData.getBounds(),C=Hi.getCorners(y,[]).map((e=&gt;{if(oe(e,e,l),!v){$(e,e,-T[0]/(e[2]*X(e)))}return oe(e,e,f.vcpc),e})),S=Hi.addPoints([...Hi.INIT_BOUNDS],C);m.setUniformf(&quot;dcxmin&quot;,S[0]),m.setUniformf(&quot;dcxmax&quot;,S[1]),m.setUniformf(&quot;dcymin&quot;,S[2]),m.setUniformf(&quot;dcymax&quot;,S[3]);const P=e.getRenderTargetSize();m.setUniformf(&quot;vpWidth&quot;,P[0]),m.setUniformf(&quot;vpHeight&quot;,P[1]);const w=e.getRenderTargetOffset();m.setUniformf(&quot;vpOffsetX&quot;,w[0]/P[0]),m.setUniformf(&quot;vpOffsetY&quot;,w[1]/P[1]),b(c,f.vcpc),m.setUniformMatrix(&quot;PCVCMatrix&quot;,c),m.setUniformi(&quot;twoSidedLighting&quot;,o.getTwoSidedLighting());const I=new Array(2*t.previousState.maxLaoKernelSize);for(let e=0;e&lt;t.previousState.maxLaoKernelSize;e++)I[2*e]=Math.random(),I[2*e+1]=Math.random();if(m.setUniform2fv(&quot;kernelSample&quot;,I),t.numberOfLights&gt;0){let e=0;o.getLights().forEach((t=&gt;{if(t.getSwitch()&gt;0){const n=`lights[${e}]`,r=$([],t.getColor(),t.getIntensity());m.setUniform3fv(`${n}.color`,r);const o=t.getTransformedPosition();oe(o,o,l),m.setUniform3fv(`${n}.positionVC`,o);const a=[...t.getDirection()];ae(a,a,f.normalMatrix),te(a,a),m.setUniform3fv(`${n}.directionVC`,a);const i=[-.5*a[0],-.5*a[1],-.5*(a[2]-1)];m.setUniform3fv(`${n}.halfAngleVC`,i);const s=t.getAttenuationValues();m.setUniform3fv(`${n}.attenuation`,s);const c=t.getExponent();m.setUniformf(`${n}.exponent`,c);const u=t.getConeAngle();m.setUniformf(`${n}.coneAngle`,u);const d=t.getPositional();m.setUniformi(`${n}.isPositional`,d),e++}}))}const O=&quot;volume&quot;,R=a.getProperties()[x.inputIndex],M=x.imageData,D=M.getSpatialExtent(),E=M.getSpacing(),V=M.getDimensions(),L=M.getIndexToWorld(),B=M.getWorldToIndex(),F=M.getDirectionByReference();A(i,l,L),m.setUniform3fv(`${O}.spacing`,E);const N=ee([],E);m.setUniform3fv(`${O}.inverseSpacing`,N),m.setUniform3iv(`${O}.dimensions`,V),m.setUniform3fv(`${O}.inverseDimensions`,ee([],V)),m.setUniformMatrix(`${O}.worldToIndex`,B),s.fill(0);const k=Q(new Float64Array(3),V,E);s[0]=k[0],s[4]=k[1],s[8]=k[2],p(s,F,s),p(s,g.normalMatrix,s),p(s,f.normalMatrix,s),m.setUniformMatrix3x3(`${O}.vecISToVCMatrix`,s),m.setUniformMatrix3x3(`${O}.vecVCToISMatrix`,d(new Float32Array(9),s));const G=q(D[0],D[2],D[4]),U=oe(new Float64Array(3),G,i);m.setUniform3fv(`${O}.originVC`,U);const _=X(k);if(m.setUniformf(`${O}.diagonalLength`,_),n(R)){const e=h.getDistance();h.setClippingRange(e,e+.1);b(u,t.openGLCamera.getKeyMatrices(o).wcpc),h.setClippingRange(T[0],T[1]),t.openGLCamera.getKeyMatrices(o),m.setUniformMatrix(`${O}.PCWCMatrix`,u)}if(R.getVolumetricScatteringBlending()&gt;0&amp;&amp;(m.setUniformf(`${O}.globalIlluminationReach`,R.getGlobalIlluminationReach()),m.setUniformf(`${O}.volumetricScatteringBlending`,R.getVolumetricScatteringBlending()),m.setUniformf(`${O}.anisotropy`,R.getAnisotropy()),m.setUniformf(`${O}.anisotropySquared`,R.getAnisotropy()**2)),R.getLocalAmbientOcclusion()&amp;&amp;R.getAmbient()&gt;0){const e=R.getLAOKernelSize();m.setUniformi(`${O}.kernelSize`,e);const t=R.getLAOKernelRadius();m.setUniformi(`${O}.kernelRadius`,t)}else m.setUniformi(`${O}.kernelSize`,0)},e.setPropertyShaderParameters=(e,n,r)=&gt;{const o=e.getProgram();o.setUniformi(&quot;jtexture&quot;,t.jitterTexture.getTextureUnit());const a=r.getProperties();o.setUniformi(&quot;labelOutlineThicknessTexture&quot;,t.labelOutlineThicknessTexture.getTextureUnit()),o.setUniformi(&quot;opacityTexture&quot;,t.opacityTexture.getTextureUnit()),o.setUniformi(&quot;colorTexture&quot;,t.colorTexture.getTextureUnit());const i=&quot;volume&quot;,s=a[t.currentValidInputs[0].inputIndex],l=t.previousState.numberOfComponents,c=t.previousState.useIndependentComponents;if(c){const e=new Float32Array(4);for(let t=0;t&lt;l;t++)e[t]=s.getComponentWeight(t);o.setUniform4fv(`${i}.independentComponentMix`,e);const t=new Float32Array(4),n=1/l;for(let e=0;e&lt;l;++e)t[e]=(e+.5)*n;o.setUniform4fv(`${i}.transferFunctionsSampleHeight`,t)}const u=t.colorForValueFunctionId;o.setUniformi(`${i}.colorForValueFunctionId`,u);const d=s.getComputeNormalFromOpacity();o.setUniformi(`${i}.computeNormalFromOpacity`,d);const p=new Float32Array(4),f=new Float32Array(4),g=new Float32Array(4),m=new Float32Array(4);for(let e=0;e&lt;l;e++){const n=t.previousState.multiTexturePerVolumeEnabled,r=n?e:0,o=n?0:e,a=t.scalarTextures[r].getVolumeInfo(),i=c?e:0,l=a.scale[o],u=s.getRGBTransferFunction(i).getRange();p[e]=l/(u[1]-u[0]),f[e]=(a.offset[o]-u[0])/(u[1]-u[0]);const d=s.getScalarOpacity(i).getRange();g[e]=l/(d[1]-d[0]),m[e]=(a.offset[o]-d[0])/(d[1]-d[0])}if(o.setUniform4fv(`${i}.colorTextureScale`,p),o.setUniform4fv(`${i}.colorTextureShift`,f),o.setUniform4fv(`${i}.opacityTextureScale`,g),o.setUniform4fv(`${i}.opacityTextureShift`,m),t.previousState.gradientOpacityEnabled){const e=new Array(4),n=new Array(4),r=new Array(4),a=new Array(4);if(c)for(let o=0;o&lt;l;++o){const i=t.previousState.multiTexturePerVolumeEnabled,l=i?o:0,c=i?0:o,u=t.scalarTextures[l].getVolumeInfo().scale[c];if(s.getUseGradientOpacity(o)){const t=[s.getGradientOpacityMinimumOpacity(o),s.getGradientOpacityMaximumOpacity(o)],i=[s.getGradientOpacityMinimumValue(o),s.getGradientOpacityMaximumValue(o)];r[o]=t[0],a[o]=t[1],e[o]=u*(t[1]-t[0])/(i[1]-i[0]),n[o]=-i[0]*(t[1]-t[0])/(i[1]-i[0])+t[0]}else r[o]=1,a[o]=1,e[o]=0,n[o]=1}else{const o=l-1,i=t.previousState.multiTexturePerVolumeEnabled,c=i?o:0,u=i?0:o,d=t.scalarTextures[c].getVolumeInfo().scale[u],p=[s.getGradientOpacityMinimumOpacity(0),s.getGradientOpacityMaximumOpacity(0)],f=[s.getGradientOpacityMinimumValue(0),s.getGradientOpacityMaximumValue(0)];r[0]=p[0],a[0]=p[1],e[0]=d*(p[1]-p[0])/(f[1]-f[0]),n[0]=-f[0]*(p[1]-p[0])/(f[1]-f[0])+p[0]}o.setUniform4f(`${i}.gradientOpacityScale`,e),o.setUniform4f(`${i}.gradientOpacityShift`,n),o.setUniform4f(`${i}.gradientOpacityMin`,r),o.setUniform4f(`${i}.gradientOpacityMax`,a)}const h=s.getLabelOutlineOpacity();if(o.setUniformf(`${i}.outlineOpacity`,h),t.numberOfLights&gt;0){o.setUniformf(`${i}.ambient`,s.getAmbient()),o.setUniformf(`${i}.diffuse`,s.getDiffuse()),o.setUniformf(`${i}.specular`,s.getSpecular());const e=s.getSpecularPower();o.setUniformf(`${i}.specularPower`,0===e?1:e)}},e.getClippingPlaneShaderParameters=(e,n,r)=&gt;{if(t.renderable.getClippingPlanes().length&gt;0){const r=t.openGLCamera.getKeyMatrices(n),o=[],a=[],i=[],s=t.renderable.getClippingPlanes(),l=s.length;for(let e=0;e&lt;l;++e){const t=s[e].getNormal(),n=s[e].getOrigin();ae(t,t,r.normalMatrix),oe(n,n,r.wcvc);const l=-1*ne(n,t);o.push(t[0]),o.push(t[1]),o.push(t[2]),a.push(l),i.push(n[0]),i.push(n[1]),i.push(n[2])}const c=e.getProgram();c.setUniform3fv(&quot;vClipPlaneNormals&quot;,o),c.setUniformfv(&quot;vClipPlaneDistances&quot;,a),c.setUniform3fv(&quot;vClipPlaneOrigins&quot;,i),c.setUniformi(&quot;clip_numPlanes&quot;,l)}},e.delete=qt((()=&gt;{t._animationRateSubscription&amp;&amp;(t._animationRateSubscription.unsubscribe(),t._animationRateSubscription=null)}),(()=&gt;{t._openGLRenderWindow&amp;&amp;a(t._openGLRenderWindow)}),e.delete),e.getRenderTargetSize=()=&gt;{if(t._useSmallViewport)return[t._smallViewportWidth,t._smallViewportHeight];const{usize:e,vsize:n}=t._openGLRenderer.getTiledSizeAndOrigin();return[e,n]},e.getRenderTargetOffset=()=&gt;{const{lowerLeftU:e,lowerLeftV:n}=t._openGLRenderer.getTiledSizeAndOrigin();return[e,n]},e.getCurrentSampleDistance=e=&gt;{const n=e.getVTKWindow().getInteractor(),r=t.renderable.getSampleDistance();if(n.isAnimating()){return r*t.renderable.getInteractionSampleDistanceFactor()}return r},e.renderPieceStart=(n,r)=&gt;{const o=n.getVTKWindow().getInteractor();if(t._lastScale||(t._lastScale=t.renderable.getInitialInteractionScale()),t._useSmallViewport=!1,o.isAnimating()&amp;&amp;t._lastScale&gt;1.5&amp;&amp;(t._useSmallViewport=!0),t._animationRateSubscription||(t._animationRateSubscription=o.onAnimationFrameRateUpdate((()=&gt;{if(t.renderable.getAutoAdjustSampleDistances()){const e=o.getRecentAnimationFrameRate(),n=o.getDesiredUpdateRate()/e;(n&gt;1.15||n&lt;.85)&amp;&amp;(t._lastScale*=n),t._lastScale&gt;400&amp;&amp;(t._lastScale=400),t._lastScale&lt;1.5&amp;&amp;(t._lastScale=1.5)}else t._lastScale=t.renderable.getImageSampleDistance()*t.renderable.getImageSampleDistance()}))),t._useSmallViewport){const e=t._openGLRenderWindow.getFramebufferSize(),n=1/Math.sqrt(t._lastScale);if(t._smallViewportWidth=Math.ceil(n*e[0]),t._smallViewportHeight=Math.ceil(n*e[1]),t._smallViewportHeight&gt;e[1]&amp;&amp;(t._smallViewportHeight=e[1]),t._smallViewportWidth&gt;e[0]&amp;&amp;(t._smallViewportWidth=e[0]),t.framebuffer.saveCurrentBindingsAndBuffers(),null===t.framebuffer.getGLFramebuffer())t.framebuffer.create(e[0],e[1]),t.framebuffer.populateFramebuffer();else{const n=t.framebuffer.getSize();n&amp;&amp;n[0]===e[0]&amp;&amp;n[1]===e[1]||(t.framebuffer.create(e[0],e[1]),t.framebuffer.populateFramebuffer())}t.framebuffer.bind();const r=t.context;r.clearColor(0,0,0,0),r.colorMask(!0,!0,!0,!0),r.clear(r.COLOR_BUFFER_BIT),r.viewport(0,0,t._smallViewportWidth,t._smallViewportHeight),t.fvp=[t._smallViewportWidth/e[0],t._smallViewportHeight/e[1]]}t.context.disable(t.context.DEPTH_TEST),e.updateBufferObjects(n,r);const a=r.getProperties();t.currentValidInputs.forEach((({inputIndex:e})=&gt;{const n=a[e].getInterpolationType(),r=t.scalarTextures[e];n===pg.NEAREST?(r.setMinificationFilter(wd.NEAREST),r.setMagnificationFilter(wd.NEAREST)):(r.setMinificationFilter(wd.LINEAR),r.setMagnificationFilter(wd.LINEAR))})),null!==t.zBufferTexture&amp;&amp;t.zBufferTexture.activate()},e.renderPieceDraw=(n,r)=&gt;{const o=t.context,a=[...t.scalarTextures,t.colorTexture,t.opacityTexture,t.labelOutlineThicknessTexture,t.jitterTexture];a.forEach((e=&gt;e.activate())),e.updateShaders(t.tris,n,r),o.drawArrays(o.TRIANGLES,0,t.tris.getCABO().getElementCount()),t.tris.getVAO().release(),a.forEach((e=&gt;e.deactivate()))},e.renderPieceFinish=(e,n)=&gt;{if(null!==t.zBufferTexture&amp;&amp;t.zBufferTexture.deactivate(),t._useSmallViewport){if(t.framebuffer.restorePreviousBindingsAndBuffers(),null===t.copyShader){t.copyShader=t._openGLRenderWindow.getShaderCache().readyShaderProgramArray([&quot;//VTK::System::Dec&quot;,&quot;attribute vec4 vertexDC;&quot;,&quot;uniform vec2 tfactor;&quot;,&quot;varying vec2 tcoord;&quot;,&quot;void main() { tcoord = vec2(vertexDC.x*0.5 + 0.5, vertexDC.y*0.5 + 0.5) * tfactor; gl_Position = vertexDC; }&quot;].join(&quot;\\n&quot;),[&quot;//VTK::System::Dec&quot;,&quot;//VTK::Output::Dec&quot;,&quot;uniform sampler2D texture1;&quot;,&quot;varying vec2 tcoord;&quot;,&quot;void main() { gl_FragData[0] = texture2D(texture1,tcoord); }&quot;].join(&quot;\\n&quot;),&quot;&quot;);const e=t.copyShader;t.copyVAO=yd.newInstance(),t.copyVAO.setOpenGLRenderWindow(t._openGLRenderWindow),t.tris.getCABO().bind(),t.copyVAO.addAttributeArray(e,t.tris.getCABO(),&quot;vertexDC&quot;,t.tris.getCABO().getVertexOffset(),t.tris.getCABO().getStride(),t.context.FLOAT,3,t.context.FALSE)||xg(&quot;Error setting vertexDC in copy shader VAO.&quot;)}else t._openGLRenderWindow.getShaderCache().readyShaderProgram(t.copyShader);const e=t._openGLRenderWindow.getFramebufferSize();t.context.viewport(0,0,e[0],e[1]);const n=t.framebuffer.getColorTexture();n.activate(),t.copyShader.setUniformi(&quot;texture&quot;,n.getTextureUnit()),t.copyShader.setUniform2f(&quot;tfactor&quot;,t.fvp[0],t.fvp[1]);const r=t.context;r.blendFuncSeparate(r.ONE,r.ONE_MINUS_SRC_ALPHA,r.ONE,r.ONE_MINUS_SRC_ALPHA),t.context.drawArrays(t.context.TRIANGLES,0,t.tris.getCABO().getElementCount()),n.deactivate(),r.blendFuncSeparate(r.SRC_ALPHA,r.ONE_MINUS_SRC_ALPHA,r.ONE,r.ONE_MINUS_SRC_ALPHA)}},e.renderPiece=(n,r)=&gt;{e.invokeEvent({type:&quot;StartEvent&quot;}),t.renderable.update();const o=t.renderable.getNumberOfInputPorts();t.currentValidInputs=[];for(let e=0;e&lt;o;++e){const n=t.renderable.getInputData(e);n&amp;&amp;!n.isDeleted()&amp;&amp;t.currentValidInputs.push({imageData:n,inputIndex:e})}let a=0;if(t.currentValidInputs.length&gt;0){const e=r.getProperties(),o=t.currentValidInputs[0],i=o.imageData.getPointData().getScalars(),s=e[o.inputIndex];s.getShade()&amp;&amp;t.renderable.getBlendMode()===hg.COMPOSITE_BLEND&amp;&amp;n.getLights().forEach((e=&gt;{e.getSwitch()&gt;0&amp;&amp;a++}));const l=t.currentValidInputs.length,c=l&gt;1;t.numberOfComponents=c?l:i.getNumberOfComponents(),t.useIndependentComponents=function(e,t){const n=e.getIndependentComponents(),r=e.getColorMixPreset();return n&amp;&amp;t&gt;=2||!!r}(s,t.numberOfComponents)}a!==t.numberOfLights&amp;&amp;(t.numberOfLights=a,e.modified()),e.invokeEvent({type:&quot;EndEvent&quot;}),0!==t.currentValidInputs.length&amp;&amp;(e.renderPieceStart(n,r),e.renderPieceDraw(n,r),e.renderPieceFinish(n,r))},e.updateBufferObjects=(t,n)=&gt;{e.getNeedToRebuildBufferObjects(t,n)&amp;&amp;e.buildBufferObjects(t,n)},e.getNeedToRebuildBufferObjects=(n,r)=&gt;t.VBOBuildTime.getMTime()&lt;e.getMTime()||t.VBOBuildTime.getMTime()&lt;r.getMTime()||t.VBOBuildTime.getMTime()&lt;r.getProperty(t.currentValidInputs[0].inputIndex)?.getMTime()||t.VBOBuildTime.getMTime()&lt;t.renderable.getMTime()||t.currentValidInputs.some((({imageData:e})=&gt;t.VBOBuildTime.getMTime()&lt;e.getMTime()))||t.scalarTextures.length!==t.currentValidInputs.length||!t.scalarTextures.every((e=&gt;!!e?.getHandle()))||!t.colorTexture?.getHandle()||!t.opacityTexture?.getHandle()||!t.labelOutlineThicknessTexture?.getHandle()||!t.jitterTexture?.getHandle(),e.buildBufferObjects=(n,r)=&gt;{if(!t.jitterTexture.getHandle()){const e=new Float32Array(1024);for(let t=0;t&lt;1024;++t)e[t]=Math.random();t.jitterTexture.setMinificationFilter(wd.NEAREST),t.jitterTexture.setMagnificationFilter(wd.NEAREST),t.jitterTexture.create2DFromRaw({width:32,height:32,numComps:1,dataType:ms.FLOAT,data:e})}const a=r.getProperties(),i=t.currentValidInputs[0],s=a[i.inputIndex],l=t.numberOfComponents,c=t.useIndependentComponents,u=c?l:1,d=[];for(let e=0;e&lt;u;++e)d.push(s.getScalarOpacity(e));const p=zf(d,c,u),f=s.getScalarOpacity(),g=t._openGLRenderWindow.getGraphicsResourceForObject(f);if(!g?.oglObject?.getHandle()||g.hash!==p){const r=Hd.newInstance();r.setOpenGLRenderWindow(t._openGLRenderWindow);let o=t.renderable.getOpacityTextureWidth();o&lt;=0&amp;&amp;(o=t.context.getParameter(t.context.MAX_TEXTURE_SIZE));const a=2*o*u,i=new Float32Array(a),l=new Float32Array(o);for(let t=0;t&lt;u;++t){const r=s.getScalarOpacity(t),a=e.getCurrentSampleDistance(n)/s.getScalarOpacityUnitDistance(t),c=r.getRange();r.getTable(c[0],c[1],o,l,1);for(let e=0;e&lt;o;++e)i[t*o*2+e]=1-(1-l[e])**a,i[t*o*2+e+o]=i[t*o*2+e]}if(r.resetFormatAndType(),r.setMinificationFilter(wd.LINEAR),r.setMagnificationFilter(wd.LINEAR),t._openGLRenderWindow.getWebgl2()||t.context.getExtension(&quot;OES_texture_float&quot;)&amp;&amp;t.context.getExtension(&quot;OES_texture_float_linear&quot;))r.create2DFromRaw({width:o,height:2*u,numComps:1,dataType:ms.FLOAT,data:i});else{const e=new Uint8ClampedArray(a);for(let t=0;t&lt;a;++t)e[t]=255*i[t];r.create2DFromRaw({width:o,height:2*u,numComps:1,dataType:ms.UNSIGNED_CHAR,data:e})}f&amp;&amp;t._openGLRenderWindow.setGraphicsResourceForObject(f,r,p),t.opacityTexture=r}else t.opacityTexture=g.oglObject;o(t._openGLRenderWindow,t._opacityTextureCore,f),t._opacityTextureCore=f;const m=[];for(let e=0;e&lt;u;++e)m.push(s.getRGBTransferFunction(e));const h=zf(m,c,u),v=s.getRGBTransferFunction(),T=t._openGLRenderWindow.getGraphicsResourceForObject(v);if(!T?.oglObject?.getHandle()||T?.hash!==h){const e=Hd.newInstance();e.setOpenGLRenderWindow(t._openGLRenderWindow);let n=t.renderable.getColorTextureWidth();n&lt;=0&amp;&amp;(n=t.context.getParameter(t.context.MAX_TEXTURE_SIZE));const r=new Uint8ClampedArray(2*n*u*3),o=new Float32Array(3*n);for(let e=0;e&lt;u;++e){const t=s.getRGBTransferFunction(e),a=t.getRange();t.getTable(a[0],a[1],n,o,1);for(let t=0;t&lt;3*n;++t)r[e*n*6+t]=255*o[t],r[e*n*6+t+3*n]=255*o[t]}e.resetFormatAndType(),e.setMinificationFilter(wd.LINEAR),e.setMagnificationFilter(wd.LINEAR),e.create2DFromRaw({width:n,height:2*u,numComps:3,dataType:ms.UNSIGNED_CHAR,data:r}),t._openGLRenderWindow.setGraphicsResourceForObject(v,e,h),t.colorTexture=e}else t.colorTexture=T.oglObject;o(t._openGLRenderWindow,t._colorTextureCore,v),t._colorTextureCore=v,t.currentValidInputs.forEach((({imageData:e,inputIndex:n},r)=&gt;{const i=a[n],s=e.getPointData().getScalars(),l=t._openGLRenderWindow.getGraphicsResourceForObject(s),c=Wf(0,s),u=!l?.oglObject?.getHandle()||l?.hash!==c,d=i.getUpdatedExtents(),p=!!d.length;if(u&amp;&amp;!p){const n=Hd.newInstance();n.setOpenGLRenderWindow(t._openGLRenderWindow);const o=e.getDimensions();n.setOglNorm16Ext(t.context.getExtension(&quot;EXT_texture_norm16&quot;)),n.resetFormatAndType(),n.create3DFilterableFromDataArray({width:o[0],height:o[1],depth:o[2],dataArray:s,preferSizeOverAccuracy:i.getPreferSizeOverAccuracy()}),t._openGLRenderWindow.setGraphicsResourceForObject(s,n,c),t.scalarTextures[r]=n}else t.scalarTextures[r]=l.oglObject;if(p){i.setUpdatedExtents([]);const n=e.getDimensions();t.scalarTextures[r].create3DFilterableFromDataArray({width:n[0],height:n[1],depth:n[2],dataArray:s,updatedExtents:d})}o(t._openGLRenderWindow,t._scalarTexturesCore[r],s),t._scalarTexturesCore[r]=s}));const x=s.getLabelOutlineThickness(),y=t._openGLRenderWindow.getGraphicsResourceForObject(x),b=x.join(&quot;-&quot;);if(!y?.oglObject?.getHandle()||y?.hash!==b){const e=Hd.newInstance();e.setOpenGLRenderWindow(t._openGLRenderWindow);let n=t.renderable.getLabelOutlineTextureWidth();n&lt;=0&amp;&amp;(n=t.context.getParameter(t.context.MAX_TEXTURE_SIZE));const r=1,o=new Uint8Array(n*r);for(let e=0;e&lt;n;++e){const t=void 0!==x[e]?x[e]:x[0];o[e]=t}e.resetFormatAndType(),e.setMinificationFilter(wd.NEAREST),e.setMagnificationFilter(wd.NEAREST),e.create2DFromRaw({width:n,height:r,numComps:1,dataType:ms.UNSIGNED_CHAR,data:o}),x&amp;&amp;t._openGLRenderWindow.setGraphicsResourceForObject(x,e,b),t.labelOutlineThicknessTexture=e}else t.labelOutlineThicknessTexture=y.oglObject;if(o(t._openGLRenderWindow,t._labelOutlineThicknessTextureCore,x),t._labelOutlineThicknessTextureCore=x,!t.tris.getCABO().getElementCount()){const e=new Float32Array(12);for(let t=0;t&lt;4;t++)e[3*t]=t%2*2-1,e[3*t+1]=t&gt;1?1:-1,e[3*t+2]=-1;const n=new Uint16Array(8);n[0]=3,n[1]=0,n[2]=1,n[3]=3,n[4]=3,n[5]=0,n[6]=3,n[7]=2;const r=Is.newInstance({numberOfComponents:3,values:e});r.setName(&quot;points&quot;);const o=Is.newInstance({numberOfComponents:1,values:n});t.tris.getCABO().createVBO(o,&quot;polys&quot;,rs.SURFACE,{points:r,cellOffset:0})}t.VBOBuildTime.modified()}}const Ag={context:null,VBOBuildTime:null,scalarTextures:[],_scalarTexturesCore:[],opacityTexture:null,_opacityTextureCore:null,colorTexture:null,_colorTextureCore:null,labelOutlineThicknessTexture:null,_labelOutlineThicknessTextureCore:null,jitterTexture:null,tris:null,framebuffer:null,copyShader:null,copyVAO:null,lastXYF:1,targetXYF:1,zBufferTexture:null,lastZBufferTexture:null,fullViewportTime:1,idxToView:null,vecISToVCMatrix:null,modelToView:null,projectionToView:null,avgWindowArea:0,avgFrameTime:0};vn(&quot;vtkVolumeMapper&quot;,Xt((function(e,t,n={}){Object.assign(t,Ag,n),pn.extend(e,t,n),qd.implementBuildShadersWithReplacements(e,t,n),t.VBOBuildTime={},Vt(t.VBOBuildTime,{mtime:0}),t.tris=Sd.newInstance(),t.jitterTexture=Hd.newInstance(),t.jitterTexture.setWrapS(Pd.REPEAT),t.jitterTexture.setWrapT(Pd.REPEAT),t.framebuffer=Gp.newInstance(),Gt(e,t,[&quot;context&quot;]),bg(e,t)}),&quot;vtkOpenGLVolumeMapper&quot;));const{vtkDebugMacro:Cg}=ln;const Sg={};vn(&quot;vtkPixelSpaceCallbackMapper&quot;,Xt((function(e,t,n={}){Object.assign(t,Sg,n),pn.extend(e,t,n),function(e,t){t.classHierarchy.push(&quot;vtkOpenGLPixelSpaceCallbackMapper&quot;),e.opaquePass=(n,r)=&gt;{t._openGLRenderer=e.getFirstAncestorOfType(&quot;vtkOpenGLRenderer&quot;),t._openGLRenderWindow=t._openGLRenderer.getLastAncestorOfType(&quot;vtkOpenGLRenderWindow&quot;);const o=t._openGLRenderer.getAspectRatio(),a=t._openGLRenderer?t._openGLRenderer.getRenderable().getActiveCamera():null,i=t._openGLRenderer.getTiledSizeAndOrigin();let s=null;if(t.renderable.getUseZValues()){const e=r.getZBufferTexture(),n=Math.floor(e.getWidth()),o=Math.floor(e.getHeight()),a=t._openGLRenderWindow.getContext();e.bind();const i=r.getFramebuffer();i?i.saveCurrentBindingsAndBuffers():Cg(&quot;No framebuffer to save/restore&quot;);const l=a.createFramebuffer();a.bindFramebuffer(a.FRAMEBUFFER,l),a.framebufferTexture2D(a.FRAMEBUFFER,a.COLOR_ATTACHMENT0,a.TEXTURE_2D,e.getHandle(),0),a.checkFramebufferStatus(a.FRAMEBUFFER)===a.FRAMEBUFFER_COMPLETE&amp;&amp;(s=new Uint8Array(n*o*4),a.viewport(0,0,n,o),a.readPixels(0,0,n,o,a.RGBA,a.UNSIGNED_BYTE,s)),i&amp;&amp;i.restorePreviousBindingsAndBuffers(),a.deleteFramebuffer(l)}t.renderable.invokeCallback(t.renderable.getInputData(),a,o,i,s)},e.queryPass=(e,n)=&gt;{e&amp;&amp;t.renderable.getUseZValues()&amp;&amp;n.requestDepth()}}(e,t)}),&quot;vtkOpenGLPixelSpaceCallbackMapper&quot;));var Pg=&quot;//VTK::System::Dec\\n\\n/*=========================================================================\\n\\n  Program:   Visualization Toolkit\\n  Module:    vtktextureObjectVS.glsl\\n\\n  Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen\\n  All rights reserved.\\n  See Copyright.txt or http://www.kitware.com/Copyright.htm for details.\\n\\n     This software is distributed WITHOUT ANY WARRANTY; without even\\n     the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR\\n     PURPOSE.  See the above copyright notice for more information.\\n\\n=========================================================================*/\\n\\nattribute vec4 vertexDC;\\nattribute vec2 tcoordDC;\\nvarying vec2 tcoordVC;\\n\\nvoid main()\\n{\\n  tcoordVC = tcoordDC;\\n  gl_Position = vertexDC;\\n}\\n&quot;;const{Representation:wg}=us;function Ig(e,[t,n],r,o){const a=e.getContext(),i=Hd.newInstance({autoParameters:!1,wrapS:o,wrapT:o,minificationFilter:r,magnificationFilter:r,generateMipmap:!1,openGLDataType:a.FLOAT,baseLevel:0,maxLevel:0});return i.setOpenGLRenderWindow(e),i.setInternalFormat(a.RGBA32F),i.create2DFromRaw({width:t,height:n,numComps:4,dataType:&quot;Float32Array&quot;,data:null}),i.activate(),i.sendParameters(),i.deactivate(),i}function Og(e,t){return Ig(e,t,Hd.Filter.NEAREST,Hd.Wrap.CLAMP_TO_EDGE)}function Rg(e,t){var n,r;(t.classHierarchy.push(&quot;vtkLICPingPongBufferManager&quot;),t._openGLRenderWindow)?(t.quad=function(e){const t=Sd.newInstance();t.setOpenGLRenderWindow(e);const n=new Float32Array(12);for(let e=0;e&lt;4;e++)n[3*e]=e%2*2-1,n[3*e+1]=e&gt;1?1:-1,n[3*e+2]=0;const r=new Float32Array([0,0,1,0,0,1,1,1]),o=new Uint16Array(8);o[0]=3,o[1]=0,o[2]=1,o[3]=3,o[4]=3,o[5]=0,o[6]=3,o[7]=2;const a=Is.newInstance({numberOfComponents:3,values:n});a.setName(&quot;points&quot;);const i=Is.newInstance({numberOfComponents:1,values:o}),s=Is.newInstance({numberOfComponents:2,values:r});return t.getCABO().createVBO(i,&quot;polys&quot;,wg.SURFACE,{points:a,cellOffset:0,tcoords:s}),t}(t._openGLRenderWindow),t.context=t._openGLRenderWindow.getContext(),t.licTexture0=Og(t._openGLRenderWindow,t.size),t.seedTexture0=Og(t._openGLRenderWindow,t.size),t.licTexture1=Og(t._openGLRenderWindow,t.size),t.seedTexture1=Og(t._openGLRenderWindow,t.size),t.eeTexture=t.doEEPass?(n=t._openGLRenderWindow,r=t.size,Ig(n,r,Hd.Filter.NEAREST,Hd.Wrap.CLAMP_TO_EDGE)):null,t.imageVectorTexture=t.doVTPass?function(e,t){return Ig(e,t,Hd.Filter.LINEAR,Hd.Wrap.CLAMP_TO_EDGE)}(t._openGLRenderWindow,t.size):null,t.pingTextures[0]=t.licTexture0,t.pingTextures[1]=t.seedTexture0,t.pongTextures[0]=t.licTexture1,t.pongTextures[1]=t.seedTexture1,t.textures[0]=t.pingTextures,t.textures[1]=t.pongTextures,e.swap=()=&gt;{t.readIndex=1-t.readIndex},e.renderQuad=(e,n)=&gt;{const r=t.quad,o=t.context;let a=t.quadVAO;a||(a=yd.newInstance(),a.setOpenGLRenderWindow(t._openGLRenderWindow),t.quadVAO=a),t.previousProgramHash!==n.getMd5Hash()&amp;&amp;(a.shaderProgramChanged(),r.getCABO().bind(),a.addAttributeArray(n,r.getCABO(),&quot;vertexDC&quot;,r.getCABO().getVertexOffset(),r.getCABO().getStride(),t.context.FLOAT,3,t.context.FALSE),a.addAttributeArray(n,r.getCABO(),&quot;tcoordDC&quot;,r.getCABO().getTCoordOffset(),r.getCABO().getStride(),t.context.FLOAT,2,t.context.FALSE),t.previousProgramHash=n.getMd5Hash()),o.drawArrays(o.TRIANGLES,0,r.getCABO().getElementCount()),a.release()},e.getLastLICBuffer=()=&gt;0===t.readIndex?t.licTexture0:t.licTexture1,e.getLastSeedBuffer=()=&gt;0===t.readIndex?t.seedTexture0:t.seedTexture1,e.getLICBuffer=()=&gt;1-t.readIndex==0?t.licTexture0:t.licTexture1,e.getSeedBuffer=()=&gt;1-t.readIndex==0?t.seedTexture0:t.seedTexture1,e.getLICTextureUnit=()=&gt;{const e=t.textures[t.readIndex][0];return e.activate(),e.getTextureUnit()},e.getSeedTextureUnit=()=&gt;{const e=t.textures[t.readIndex][1];return e.activate(),e.getTextureUnit()},e.getNoiseTextureUnit=(e=0)=&gt;0===e?(t.noiseTexture.activate(),t.noiseTexture.getTextureUnit()):(t.eeTexture.activate(),t.eeTexture.getTextureUnit()),e.getVectorTextureUnit=()=&gt;(t.vectorTexture.activate(),t.vectorTexture.getTextureUnit()),e.getImageVectorTextureUnit=()=&gt;t.imageVectorTexture?(t.imageVectorTexture.activate(),t.imageVectorTexture.getTextureUnit()):e.getVectorTextureUnit(),e.getMaskVectorTextureUnit=()=&gt;t.maskVectorTexture?(t.maskVectorTexture.activate(),t.maskVectorTexture.getTextureUnit()):e.getImageVectorTextureUnit(),e.clearBuffers=(e=!1)=&gt;{const n=t.framebuffer,r=t.context;n.removeColorBuffer(0),n.removeColorBuffer(1),n.removeColorBuffer(2),n.removeColorBuffer(3),n.setColorBuffer(t.licTexture0,0),n.setColorBuffer(t.seedTexture0,1),n.setColorBuffer(t.licTexture1,2),n.setColorBuffer(t.seedTexture1,3);const o=[r.COLOR_ATTACHMENT0,r.COLOR_ATTACHMENT1,r.COLOR_ATTACHMENT2,r.COLOR_ATTACHMENT3];e&amp;&amp;(n.removeColorBuffer(4),n.setColorBuffer(t.eeTexture,4),o.push(r.COLOR_ATTACHMENT4)),r.drawBuffers(o),r.clearColor(0,1,0,0),r.disable(r.SCISSOR_TEST),r.disable(r.BLEND),r.clear(r.COLOR_BUFFER_BIT),n.removeColorBuffer(0),n.removeColorBuffer(1),n.removeColorBuffer(2),n.removeColorBuffer(3),e&amp;&amp;n.removeColorBuffer(4),r.drawBuffers([r.NONE])},e.clearBuffer=e=&gt;{const n=t.framebuffer,r=t.context;n.removeColorBuffer(0),n.setColorBuffer(e,0),r.drawBuffers([r.COLOR_ATTACHMENT0]),r.clearColor(0,1,0,0),r.disable(r.SCISSOR_TEST),r.disable(r.BLEND),r.clear(r.COLOR_BUFFER_BIT),n.removeColorBuffer(e,0),r.drawBuffers([r.NONE])},e.activateVectorTextures=()=&gt;{t.imageVectorTexture?t.imageVectorTexture.activate():t.vectorTexture.activate(),t.maskVectorTexture&amp;&amp;t.maskVectorTexture.activate()},e.deactivateVectorTextures=()=&gt;{t.imageVectorTexture?t.imageVectorTexture.deactivate():t.vectorTexture.deactivate(),t.maskVectorTexture&amp;&amp;t.maskVectorTexture.deactivate()},e.activateNoiseTexture=(e=0)=&gt;{switch(e){case 0:t.noiseTexture.activate();break;case 1:t.eeTexture.activate();break;default:console.error(&quot;Wrong LIC pass number&quot;)}},e.deactivateNoiseTexture=(e=0)=&gt;{switch(e){case 0:t.noiseTexture.deactivate();break;case 1:t.eeTexture.deactivate();break;default:console.error(&quot;Wrong LIC pass number&quot;)}},e.attachLICBuffers=()=&gt;{const e=t.textures[t.readIndex],n=t.textures[1-t.readIndex],r=t.framebuffer,o=t.context;e[0].activate(),e[1].activate(),r.removeColorBuffer(0),r.removeColorBuffer(1),r.setColorBuffer(n[0],0),r.setColorBuffer(n[1],1),o.drawBuffers([o.COLOR_ATTACHMENT0,o.COLOR_ATTACHMENT1])},e.detachLICBuffers=()=&gt;{const e=t.textures[t.readIndex],n=t.context,r=t.framebuffer;e[0].deactivate(),e[1].deactivate(),r.removeColorBuffer(0),r.removeColorBuffer(1),n.drawBuffers([n.NONE])},e.attachImageVectorBuffer=()=&gt;{const e=t.framebuffer,n=t.context;t.vectorTexture.activate(),e.removeColorBuffer(0),e.setColorBuffer(t.imageVectorTexture,0),n.drawBuffers([n.COLOR_ATTACHMENT0])},e.detachImageVectorBuffer=()=&gt;{const e=t.context,n=t.framebuffer;t.vectorTexture.deactivate(),n.removeColorBuffer(0),e.drawBuffers([e.NONE])},e.attachEEBuffer=()=&gt;{t.textures[t.readIndex][0].activate(),t.framebuffer.removeColorBuffer(0),t.framebuffer.setColorBuffer(t.eeTexture,0);const e=t.context;e.drawBuffers([e.COLOR_ATTACHMENT0])},e.detachEEBuffer=()=&gt;{const e=t.context;t.framebuffer.removeColorBuffer(0),e.drawBuffers([e.NONE]);t.textures[t.readIndex][0].deactivate()},e.detachBuffers=()=&gt;{const e=t.context,n=t.framebuffer;n.removeColorBuffer(0),n.removeColorBuffer(1),e.drawBuffers([e.NONE]);const r=t.textures[t.readIndex],o=t.textures[1-t.readIndex];r[0]&amp;&amp;r[0].deactivate(),r[1]&amp;&amp;r[1].deactivate(),o[0]&amp;&amp;o[0].deactivate(),o[1]&amp;&amp;o[1].deactivate(),t.eeTexture&amp;&amp;t.eeTexture.deactivate(),t.noiseTexture&amp;&amp;t.noiseTexture.deactivate()},e.getWriteIndex=()=&gt;1-t.readIndex,e.detachBuffers()):console.error(&quot;Pass renderwindow to ping pong manager&quot;)}const Mg={vectorTexture:null,maskVectorTexture:null,noiseTexture:null,doEEPass:!1,doVTPass:!1,readIndex:0,quad:null,lastProgramHash:null,framebuffer:null,size:null,pingTextures:[],pongTextures:[],textures:[]};function Dg(e,t,n={}){Object.assign(t,Mg,n),sn.obj(e,t),sn.get(e,t,[&quot;readIndex&quot;]),sn.setGet(e,t,[&quot;doEEPass&quot;,&quot;doVTPass&quot;,&quot;_openGLRenderWindow&quot;,&quot;vectorTexture&quot;,&quot;maskVectorTexture&quot;,&quot;noiseTexture&quot;,&quot;framebuffer&quot;,&quot;size&quot;]),sn.moveToProtected(e,t,[&quot;openGLRenderWindow&quot;]),Rg(e,t)}var Eg={newInstance:sn.newInstance(Dg,&quot;vtkLICPingPongBufferManager&quot;),extend:Dg};const Vg=0,Lg=1,Bg=2,Fg=3,Ng=1;const kg={shadersNeedBuild:!0,stepSize:1,numberOfSteps:10,enhancedLIC:!0,enhanceContrast:!1,lowContrastEnhancementFactor:0,highContrastEnhancementFactor:0,antiAlias:0,componentIds:[0,1],normalizeVectors:!0,maskThreshold:0,transformVectors:!0,bufs:null,isComposite:!0};function Gg(e,t,n={}){Object.assign(t,kg,n),sn.obj(e,t),sn.setGet(e,t,[&quot;context&quot;,&quot;_openGLRenderWindow&quot;,&quot;nuberOfSteps&quot;,&quot;stepSize&quot;,&quot;normalizeVectors&quot;,&quot;maskThreshold&quot;,&quot;enhancedLIC&quot;,&quot;enhanceContrast&quot;,&quot;lowLICContrastEnhancementFactor&quot;,&quot;highLICContrastEnhancementFactor&quot;,&quot;antiAlias&quot;,&quot;componentIds&quot;,&quot;isComposite&quot;]),sn.moveToProtected(e,t,[&quot;openGLRenderWindow&quot;]),function(e,t){function n(e,t){e.setUniformi(&quot;texLIC&quot;,t.getLICTextureUnit()),e.setUniformi(&quot;texSeedPts&quot;,t.getSeedTextureUnit())}function r(e,t,n){e.attachLICBuffers(),e.renderQuad(t,n),e.detachLICBuffers(),e.swap()}t.classHierarchy.push(&quot;vtkLineIntegralConvolution2D&quot;),e.buildAShader=e=&gt;t._openGLRenderWindow.getShaderCache().readyShaderProgramArray(Pg,e,&quot;&quot;),e.dumpTextureValues=(e,[n,r],o=t.context,a=t._openGLRenderWindow,i=4)=&gt;{const s=Gp.newInstance(),l=o;let c=null;return s.setOpenGLRenderWindow(a),s.saveCurrentBindingsAndBuffers(),s.create(n,r),s.populateFramebuffer(),s.setColorBuffer(e),c=new Float32Array(n*r*i),l.readPixels(0,0,n,r,4===i?l.RGBA:l.RGB,l.FLOAT,c),s.restorePreviousBindingsAndBuffers(),c},e.getTextureMinMax=(n,r,o=t.context,a=t._openGLRenderWindow)=&gt;{const i=e.dumpTextureValues(n,r,o,a,4);let s=Number.MAX_VALUE,l=Number.MIN_VALUE;for(let e=0;e&lt;i.length;e+=4)if(0===i[e+1]){const t=i[e];t&lt;s&amp;&amp;(s=t),t&gt;l&amp;&amp;(l=t)}return{min:s,max:l}},e.getComponentSelectionProgram=e=&gt;{const t=&quot;xyzw&quot;;return`.${t[e[0]]}${t[e[1]]}`},e.buildShaders=()=&gt;{t.LIC0ShaderProgram=e.buildAShader(&quot;//VTK::System::Dec\\n\\n//=========================================================================\\n//\\n//  Program:   Visualization Toolkit\\n//  Module:    vtkLineIntegralConvolution2D_LIC0.glsl\\n//\\n//  Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen\\n//  All rights reserved.\\n//  See Copyright.txt or http://www.kitware.com/Copyright.htm for details.\\n//\\n//     This software is distributed WITHOUT ANY WARRANTY; without even\\n//     the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR\\n//     PURPOSE.  See the above copyright notice for more information.\\n//\\n//=========================================================================\\n\\n/**\\nThis shader initializes the convolution for the LIC computation.\\n*/\\n\\n// the output of this shader\\nlayout(location = 0) out vec4 LICOutput;\\nlayout(location = 1) out vec4 SeedOutput;\\n\\nuniform sampler2D texMaskVectors;\\nuniform sampler2D texNoise;\\nuniform sampler2D texLIC;\\n\\nuniform int   uStepNo;         // in step 0 initialize lic and seeds, else just seeds\\nuniform int   uPassNo;         // in pass 1 hpf of pass 0 is convolved.\\nuniform float uMaskThreshold;  // if |V| &lt; uMaskThreshold render transparent\\nuniform vec2  uNoiseBoundsPt1; // tc of upper right pt of noise texture\\n\\nin vec2 tcoordVC;\\n\\n// convert from vector coordinate space to noise coordinate space.\\n// the noise texture is tiled across the *whole* domain\\nvec2 VectorTCToNoiseTC(vec2 vectc)\\n{\\n  return vectc/uNoiseBoundsPt1;\\n}\\n\\n// get the texture coordidnate to lookup noise value. this\\n// depends on the pass number.\\nvec2 getNoiseTC(vec2 vectc)\\n{\\n  // in pass 1 : convert from vector tc to noise tc\\n  // in pass 2 : use vector tc\\n  if (uPassNo == 0)\\n    {\\n    return VectorTCToNoiseTC(vectc);\\n    }\\n  else\\n    {\\n    return vectc;\\n    }\\n}\\n\\n// look up noise value at the given location. The location\\n// is supplied in vector texture coordinates, hence the\\n// need to convert to noise texture coordinates.\\nfloat getNoise(vec2 vectc)\\n{\\n  return texture2D(texNoise, getNoiseTC(vectc)).r;\\n}\\n\\nvoid main(void)\\n{\\n  vec2 vectc = tcoordVC.st;\\n\\n  // lic =&gt; (convolution, mask, 0, step count)\\n  if (uStepNo == 0)\\n    {\\n    float maskCriteria = length(texture2D(texMaskVectors, vectc).xyz);\\n    float maskFlag;\\n    if (maskCriteria &lt;= uMaskThreshold)\\n      {\\n      maskFlag = 1.0;\\n      }\\n    else\\n      {\\n      maskFlag = 0.0;\\n      }\\n    float noise = getNoise(vectc);\\n    LICOutput = vec4(noise, maskFlag, 0.0, 1.0);\\n    }\\n  else\\n    {\\n    LICOutput = texture2D(texLIC, vectc);\\n    }\\n\\n  // initial seed\\n  SeedOutput = vec4(vectc, 0.0, 1.0);\\n}\\n&quot;);const n=vd.substitute(&quot;//VTK::System::Dec\\n\\n//=========================================================================\\n//\\n//  Program:   Visualization Toolkit\\n//  Module:    vtkLineIntegralConvolution2D_VT.glsl\\n//\\n//  Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen\\n//  All rights reserved.\\n//  See Copyright.txt or http://www.kitware.com/Copyright.htm for details.\\n//\\n//     This software is distributed WITHOUT ANY WARRANTY; without even\\n//     the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR\\n//     PURPOSE.  See the above copyright notice for more information.\\n//\\n//=========================================================================\\n\\n// move vector field to normalized image space\\n// pre-processing for vtkLineIntegralConvolution2D\\n\\n// the output of this shader\\n//VTK::Output::Dec\\n\\n// Fragment shader used by the gaussian blur filter render pass.\\n\\nuniform sampler2D texVectors; // input texture\\nuniform vec2      uTexSize;   // size of texture\\n\\nin vec2 tcoordVC;\\n\\nvoid main(void)\\n{\\n  //VTK::LICComponentSelection::Impl\\n  V = V/uTexSize;\\n  gl_FragData[0] = vec4(V, 0.0, 1.0);\\n}\\n&quot;,&quot;//VTK::LICComponentSelection::Impl&quot;,`vec2 V = texture2D(texVectors, tcoordVC.st)${e.getComponentSelectionProgram(t.componentIds)};`).result;t.VTProgram=e.buildAShader(n);const r=vd.substitute(&quot;//VTK::System::Dec\\n\\n//=========================================================================\\n//\\n//  Program:   Visualization Toolkit\\n//  Module:    vtkLineIntegralConvolution2D_fs1.glsl\\n//\\n//  Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen\\n//  All rights reserved.\\n//  See Copyright.txt or http://www.kitware.com/Copyright.htm for details.\\n//\\n//     This software is distributed WITHOUT ANY WARRANTY; without even\\n//     the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR\\n//     PURPOSE.  See the above copyright notice for more information.\\n//\\n//=========================================================================\\n\\n// the output of this shader\\nlayout(location = 0) out vec4 LICOutput;\\nlayout(location = 1) out vec4 SeedOutput;\\n\\nuniform sampler2D  texVectors;\\nuniform sampler2D  texNoise;\\nuniform sampler2D  texLIC;\\nuniform sampler2D  texSeedPts;\\n\\nuniform int   uPassNo;          // in pass 1 hpf of pass 0 is convolved.\\nuniform float uStepSize;        // step size in parametric space\\n\\nuniform vec2  uNoiseBoundsPt1;  // tc of upper right pt of noise texture\\n\\nin vec2 tcoordVC;\\n\\n//VTK::LICVectorLookup::Impl\\n\\n// We need to do this manually since CLAMP_TO_BORDER and and borderColor\\n// are very poorly supported in webgl\\nvec2 clampToBorder(vec2 uv){\\n  if(uv.x &lt; 0.0 || uv.x &gt; 1.0 || uv.y &lt; 0.0 || uv.y &gt; 1.0)\\n  {\\n    return vec2(0.0, 0.0);\\n  }\\n  return getVector(uv);\\n}\\n\\n// convert from vector coordinate space to noise coordinate space.\\n// the noise texture is tiled across the whole domain\\nvec2 VectorTCToNoiseTC(vec2 vectc)\\n{\\n  return vectc/uNoiseBoundsPt1;\\n}\\n\\n// get the texture coordidnate to lookup noise value.\\n// in pass 1 repeatedly tile the noise texture across\\n// the computational domain.\\nvec2 getNoiseTC(vec2 tc)\\n{\\n  if (uPassNo == 0)\\n    {\\n    return VectorTCToNoiseTC(tc);\\n    }\\n  else\\n    {\\n    return tc;\\n    }\\n}\\n\\n// look up noise value at the given location. The location\\n// is supplied in vector texture coordinates, hence the need\\n// to convert to either noise or lic texture coordinates in\\n// pass 1 and 2 respectively.\\nfloat getNoise(vec2 vectc)\\n{\\n  return texture2D(texNoise, getNoiseTC(vectc)).r;\\n}\\n\\n// fourth-order Runge-Kutta streamline integration\\n// no bounds checks are made, therefore it&#x27;s essential\\n// to have the entire texture initialized to 0\\n// and set clamp to border and have border color 0\\n// an integer is set if the step was taken, keeping\\n// an accurate step count is necessary to prevent\\n// boundary artifacts. Don&#x27;t count the step if\\n// all vector lookups are identically 0. This is\\n// a proxy for \\&quot;stepped outside valid domain\\&quot;\\nvec2 rk4(vec2 pt0, float dt, out bool count)\\n{\\n  count=true;\\n  float dtHalf = dt * 0.5;\\n  vec2 pt1;\\n\\n  vec2 v0 = clampToBorder(pt0);\\n  pt1 = pt0 + v0 * dtHalf;\\n\\n  vec2 v1 = clampToBorder(pt1);\\n  pt1 = pt0 + v1 * dtHalf;\\n\\n  vec2 v2 = clampToBorder(pt1);\\n  pt1 = pt0 + v2 * dt;\\n\\n  vec2 v3 = clampToBorder(pt1);\\n  vec2 vSum = v0 + v1 + v1 + v2 + v2 + v3;\\n\\n  if (vSum == vec2(0.0, 0.0))\\n    {\\n      count = false;\\n    }\\n\\n  pt1 = pt0 + (vSum) * (dt * (1.0/6.0));\\n\\n return pt1;\\n}\\n\\nvoid main(void)\\n{\\n  vec2 lictc = tcoordVC.st;\\n  vec4 lic = texture2D(texLIC, lictc);\\n  vec2 pt0 = texture2D(texSeedPts, lictc).st;\\n\\n  bool count;\\n  vec2 pt1 = rk4(pt0, uStepSize, count);\\n\\n  if (count)\\n    {\\n    // accumulate lic step\\n    // (lic, mask, 0, step count)\\n    float noise = getNoise(pt1);\\n    LICOutput = vec4(lic.r + noise, lic.g, 0.0, lic.a + 1.0);\\n    SeedOutput = vec4(pt1, 0.0, 1.0);\\n    }\\n  else\\n    {\\n    // keep existing values\\n    LICOutput = lic;\\n    SeedOutput = vec4(pt0, 0.0, 1.0);\\n    }\\n}\\n&quot;,&quot;//VTK::LICVectorLookup::Impl&quot;,function(e=!0){return e?&quot;\\n    vec2 getVector( vec2 vectc )\\n\\n      {\\n\\n      vec2 V = texture2D( texVectors, vectc ).xy;\\n\\n      // normalize if |V| not 0\\n\\n      float lenV = length( V );\\n\\n      if ( lenV &gt; 1.0e-8 )\\n\\n        {\\n\\n        return V/lenV;\\n\\n        }\\n\\n      else\\n\\n        {\\n\\n        return vec2( 0.0, 0.0 );\\n\\n        }\\n\\n      }\\n\\n    &quot;:&quot;\\n    vec2 getVector( vec2 vectc )\\n\\n      {\\n\\n      return texture2D( texVectors, vectc ).xy;\\n\\n      }\\n\\n    &quot;}(t.normalizeVectors),!0).result;t.LICIShaderProgram=e.buildAShader(r),t.LICNShaderProgram=e.buildAShader(&quot; //VTK::System::Dec\\n\\n//=========================================================================\\n//\\n//  Program:   Visualization Toolkit\\n//  Module:    vtkLineIntegralConvolution2D_LICN.glsl\\n//\\n//  Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen\\n//  All rights reserved.\\n//  See Copyright.txt or http://www.kitware.com/Copyright.htm for details.\\n//\\n//     This software is distributed WITHOUT ANY WARRANTY; without even\\n//     the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR\\n//     PURPOSE.  See the above copyright notice for more information.\\n//\\n//=========================================================================\\n\\n// the output of this shader\\nlayout(location = 0) out vec4 LICOutput;\\nlayout(location = 1) out vec4 SeedOutput;\\n\\n/**\\nThis shader finalizes the convolution for the LIC computation\\napplying the normalization. eg. if box kernel is used the this\\nis the number of steps taken.\\n*/\\n\\nuniform sampler2D texLIC;\\n\\nin vec2 tcoordVC;\\n\\nvoid main(void)\\n{\\n  vec4 conv = texture2D(texLIC, tcoordVC.st);\\n  conv.r = conv.r/conv.a;\\n  // lic =&gt; (convolution, mask, 0, 1)\\n  LICOutput = vec4(conv.rg , 0.0, 1.0);\\n  SeedOutput = vec4(0.0, 0.0, 0.0, 0.0);\\n}\\n&quot;),t.CEProgram=e.buildAShader(&quot;//VTK::System::Dec\\n\\n//=========================================================================\\n//\\n//  Program:   Visualization Toolkit\\n//  Module:    vtkLineIntegralConvolution2D_CE.glsl\\n//\\n//  Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen\\n//  All rights reserved.\\n//  See Copyright.txt or http://www.kitware.com/Copyright.htm for details.\\n//\\n//     This software is distributed WITHOUT ANY WARRANTY; without even\\n//     the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR\\n//     PURPOSE.  See the above copyright notice for more information.\\n//\\n//=========================================================================\\n\\n// gray scale contrast enhance stage implemented via histogram stretching\\n// if the min and max are tweaked it can generate out-of-range values\\n// these will be clamped in 0 to 1\\n\\n// the output of this shader\\nlayout(location = 0) out vec4 LICOutput;\\nlayout(location = 1) out vec4 SeedOutput;\\n\\n\\nuniform sampler2D texLIC;  // most recent lic pass\\nuniform float uMin;        // min gray scale color value\\nuniform float uMaxMinDiff; // max-min\\n\\nin vec2 tcoordVC;\\n\\nvoid main( void )\\n{\\n  vec4 lic = texture2D(texLIC, tcoordVC.st);\\n  if (lic.g!=0.0)\\n    {\\n    LICOutput = lic;\\n    }\\n  else\\n    {\\n    float CElic = clamp((lic.r - uMin)/uMaxMinDiff, 0.0, 1.0);\\n    LICOutput = vec4(CElic, lic.gb, 1.0);\\n    }\\n    SeedOutput = vec4(0.0, 0.0, 0.0, 0.0);\\n}\\n&quot;),t.EEProgram=e.buildAShader(&quot;//VTK::System::Dec\\n\\n//=========================================================================\\n//\\n//  Program:   Visualization Toolkit\\n//  Module:    vtkLineIntegralConvolution2D_fs2.glsl\\n//\\n//  Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen\\n//  All rights reserved.\\n//  See Copyright.txt or http://www.kitware.com/Copyright.htm for details.\\n//\\n//     This software is distributed WITHOUT ANY WARRANTY; without even\\n//     the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR\\n//     PURPOSE.  See the above copyright notice for more information.\\n//\\n//=========================================================================\\n\\n// high-pass filter stage employed by vtkLineIntegralConvolution2D\\n// between LIC pass 1 and LIC pass 2. filtered LIC pass 1, becomes\\n// noise for pass2.\\n\\n// the output of this shader\\nlayout(location = 0) out vec4 EEOutput;\\n\\nuniform sampler2D texLIC; // most recent lic pass\\nuniform float     uDx;    // fragment size\\nuniform float     uDy;    // fragment size\\n\\nin vec2 tcoordVC;\\n\\n// kernel for simple laplace edge enhancement.\\n// p=Laplace(p)+p\\nfloat K[9] = float[9](\\n  -1.0, -1.0, -1.0,\\n  -1.0,  9.0, -1.0,\\n  -1.0, -1.0, -1.0\\n  );\\n\\n// determine if the fragment was masked\\nbool Masked(float val) { return val != 0.0; }\\n\\nvoid main(void)\\n{\\n  // tex coord neighbor offsets\\n  vec2 fragDx[9] = vec2[9](\\n    vec2(-uDx, uDy), vec2(0.0, uDy), vec2(uDx, uDy),\\n    vec2(-uDx, 0.0), vec2(0.0, 0.0), vec2(uDx, 0.0),\\n    vec2(-uDx,-uDy), vec2(0.0,-uDy), vec2(uDx,-uDy)\\n    );\\n\\n  vec2 lictc = tcoordVC.st;\\n\\n  // compute the convolution but don&#x27;t use convovled values if\\n  // any masked fragments on the stencil. Fragments outside\\n  // the valid domain are masked during initialization, and\\n  // texture wrap parameters are clamp to border with border\\n  // color that contains masked flag\\n  float conv = 0.0;\\n  bool dontUse = false;\\n  for (int i=0; i&lt;9; ++i)\\n    {\\n    vec2 tc = lictc + fragDx[i];\\n    vec4 lic = texture2D(texLIC, tc);\\n    dontUse = dontUse || Masked(lic.g);\\n    conv = conv + K[i] * lic.r;\\n    }\\n\\n  if (dontUse)\\n    {\\n    EEOutput = vec4(texture2D(texLIC, lictc).rg, 0.0, 1.0);\\n    }\\n  else\\n    {\\n    conv = clamp(conv, 0.0, 1.0);\\n    EEOutput = vec4(conv,texture2D(texLIC, lictc).g, 0.0, 1.0);\\n    }\\n\\n}\\n&quot;),t.AAHProgram=e.buildAShader(&quot;//VTK::System::Dec\\n\\n//=========================================================================\\n//\\n//  Program:   Visualization Toolkit\\n//  Module:    vtkLineIntegralConvolution2D_AAH.glsl\\n//\\n//  Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen\\n//  All rights reserved.\\n//  See Copyright.txt or http://www.kitware.com/Copyright.htm for details.\\n//\\n//     This software is distributed WITHOUT ANY WARRANTY; without even\\n//     the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR\\n//     PURPOSE.  See the above copyright notice for more information.\\n//\\n//=========================================================================\\n\\n// Anti-alias stage in vtkLineIntegralConvolution2D\\n// horizontal pass of a Gaussian convolution\\n\\n// the output of this shader\\nlayout(location = 0) out vec4 LICOutput;\\nlayout(location = 1) out vec4 SeedOutput;\\n\\nuniform sampler2D texLIC; // input texture\\nuniform float     uDx;    // fragment size\\n\\nin vec2 tcoordVC;\\n\\n// factored 3x3 Gaussian kernel\\n// K^T*K = G\\nfloat K[3] = float[3](0.141421356, 0.707106781, 0.141421356);\\n\\n// determine if the fragment was masked\\nbool Masked(float val){ return val != 0.0; }\\n\\nvoid main(void)\\n{\\n// neighbor offsets\\nvec2 fragDx[3] = vec2[3](vec2(-uDx,0.0), vec2(0.0,0.0), vec2(uDx,0.0));\\n\\n  vec2 lictc = tcoordVC.st;\\n  vec4 lic[3];\\n  bool dontUse = false;\\n  float conv = 0.0;\\n  for (int i=0; i&lt;3; ++i)\\n    {\\n    vec2 tc = lictc + fragDx[i];\\n    lic[i] = texture2D(texLIC, tc);\\n    dontUse = dontUse || Masked(lic[i].g);\\n    conv = conv + K[i] * lic[i].r;\\n    }\\n  // output is (conv, mask, skip, 1)\\n  if (dontUse)\\n    {\\n    LICOutput = vec4(lic[1].rg, 1.0, 1.0);\\n    }\\n  else\\n    {\\n    LICOutput = vec4(conv, lic[1].gb, 1.0);\\n    }\\n  SeedOutput = vec4(0.0, 0.0, 0.0, 0.0);\\n}\\n&quot;),t.AAVProgram=e.buildAShader(&quot;//VTK::System::Dec\\n\\n//=========================================================================\\n//\\n//  Program:   Visualization Toolkit\\n//  Module:    vtkLineIntegralConvolution2D_AAV.glsl\\n//\\n//  Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen\\n//  All rights reserved.\\n//  See Copyright.txt or http://www.kitware.com/Copyright.htm for details.\\n//\\n//     This software is distributed WITHOUT ANY WARRANTY; without even\\n//     the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR\\n//     PURPOSE.  See the above copyright notice for more information.\\n//\\n//=========================================================================\\n\\n// Anti-alias stage in vtkLineIntegralConvolution2D\\n// vertical pass of a Gaussian convolution\\n\\n// the output of this shader\\nlayout(location = 0) out vec4 LICOutput;\\nlayout(location = 1) out vec4 SeedOutput;\\n\\nuniform sampler2D texLIC; // input texture\\nuniform float     uDy;    // fragment size\\n\\nin vec2 tcoordVC;\\n\\n\\n// factored 3x3 Gaussian kernel\\n// K^T*K = G\\nfloat K[3] = float[3](0.141421356, 0.707106781, 0.141421356);\\n\\n// determine if the fragment was masked\\nbool Masked(float val){ return val != 0.0; }\\n\\nvoid main(void)\\n{\\n// neighbor offsets\\nvec2 fragDy[3] = vec2[3](vec2(0.0,-uDy), vec2(0.0,0.0), vec2(0.0,uDy));\\n\\n\\n  vec2 lictc = tcoordVC.st;\\n  vec4 lic[3];\\n  bool dontUse = false;\\n  float conv = 0.0;\\n  for (int i=0; i&lt;3; ++i)\\n    {\\n    vec2 tc = lictc + fragDy[i];\\n    lic[i] = texture2D(texLIC, tc);\\n    dontUse = dontUse || Masked(lic[i].g);\\n    conv = conv + K[i] * lic[i].r;\\n    }\\n  // output is (conv, mask, skip, 1)\\n  if (dontUse)\\n    {\\n    LICOutput = vec4(lic[1].rg, 1.0, 1.0);\\n    }\\n  else\\n    {\\n    LICOutput = vec4(conv, lic[1].gb, 1.0);\\n    }\\n  SeedOutput = vec4(0.0, 0.0, 0.0, 0.0);\\n}\\n&quot;)},e.executeLIC=(o,a,i,s,l,c)=&gt;{if(t._openGLRenderWindow=l,t.context=l.getContext(),Object.assign(t,c),o[0]&lt;=0||o[1]&lt;=0)return null;const u=[1/o[0],1/o[1]];let d=t.stepSize*Math.sqrt(u[0]*u[0]+u[1]*u[1]);d&lt;=0&amp;&amp;(d=1e-10);const p=t.context;let f=t.framebuffer;const g=f?.getSize();f&amp;&amp;g&amp;&amp;o[0]===g&amp;&amp;o[1]===g||(f=Gp.newInstance(),f.setOpenGLRenderWindow(t._openGLRenderWindow),f.saveCurrentBindingsAndBuffers(),f.create(...o),f.populateFramebuffer(),f.restorePreviousBindingsAndBuffers(),t.framebuffer=f),f.saveCurrentBindingsAndBuffers(),f.bind(),p.viewport(0,0,...o),p.scissor(0,0,...o),t.shadersNeedBuild&amp;&amp;(e.buildShaders(),t.shadersNeedBuild=!1),t.bufs?(t.bufs.setVectorTexture(a),t.bufs.setMaskVectorTexture(i),t.bufs.setNoiseTexture(s)):t.bufs=Eg.newInstance({openGLRenderWindow:l,doEEPass:t.enhancedLIC,doVTPass:t.transformVectors,vectorTexture:a,maskVectorTexture:i,noiseTexture:s,framebuffer:f,size:o});const m=[(s.getWidth()+1)/o[0],(s.getHeight()+1)/o[1]],h=1/o[0],v=1/o[1],T=t._openGLRenderWindow.getShaderCache();if(t.transformVectors){const e=t.VTProgram;T.readyShaderProgram(e),t.bufs.attachImageVectorBuffer(),e.setUniform2f(&quot;uTexSize&quot;,...o),e.setUniformi(&quot;texVectors&quot;,t.bufs.getVectorTextureUnit()),p.clearColor(0,0,0,0),p.clear(p.COLOR_BUFFER_BIT),t.bufs.renderQuad(o,e),t.bufs.detachImageVectorBuffer()}t.bufs.clearBuffers(t.enhancedLIC),t.bufs.activateVectorTextures(),t.bufs.activateNoiseTexture(0);const{LIC0ShaderProgram:x}=t;T.readyShaderProgram(x),x.setUniformi(&quot;uStepNo&quot;,0),x.setUniformi(&quot;uPassNo&quot;,0),x.setUniformf(&quot;uMaskThreshold&quot;,t.maskThreshold),x.setUniform2f(&quot;uNoiseBoundsPt1&quot;,...m),x.setUniformi(&quot;texMaskVectors&quot;,t.bufs.getMaskVectorTextureUnit()),x.setUniformi(&quot;texLIC&quot;,t.bufs.getLICTextureUnit()),x.setUniformi(&quot;texNoise&quot;,t.bufs.getNoiseTextureUnit(0)),r(t.bufs,o,x);const{LICIShaderProgram:y}=t;T.readyShaderProgram(y),y.setUniformi(&quot;uPassNo&quot;,0),y.setUniformf(&quot;uStepSize&quot;,-d),y.setUniform2f(&quot;uNoiseBoundsPt1&quot;,...m),y.setUniformi(&quot;texVectors&quot;,t.bufs.getImageVectorTextureUnit()),y.setUniformi(&quot;texNoise&quot;,t.bufs.getNoiseTextureUnit(0));for(let e=0;e&lt;t.numberOfSteps;++e)n(y,t.bufs),r(t.bufs,o,y);T.readyShaderProgram(x),x.setUniformi(&quot;uStepNo&quot;,1),n(x,t.bufs),r(t.bufs,o,x),T.readyShaderProgram(y),y.setUniformf(&quot;uStepSize&quot;,d);for(let e=0;e&lt;t.numberOfSteps;++e)n(y,t.bufs),r(t.bufs,o,y);t.bufs.deactivateNoiseTexture(0),t.bufs.deactivateVectorTextures();const{LICNShaderProgram:b}=t;if(T.readyShaderProgram(b),b.setUniformi(&quot;texLIC&quot;,t.bufs.getLICTextureUnit()),r(t.bufs,o,b),t.enhancedLIC){t.enhanceContrast!==Lg&amp;&amp;t.enhanceContrast!==Fg||e.contrastEnhance(!1,o),t.bufs.attachEEBuffer();const{EEProgram:a}=t;T.readyShaderProgram(a),a.setUniformi(&quot;texLIC&quot;,t.bufs.getLICTextureUnit()),a.setUniformf(&quot;uDx&quot;,h),a.setUniformf(&quot;uDy&quot;,v),t.bufs.renderQuad(o,a),t.bufs.detachEEBuffer(),t.bufs.detachBuffers(),t.bufs.clearBuffers(!1),t.bufs.activateVectorTextures(),t.bufs.activateNoiseTexture(1),T.readyShaderProgram(x),x.setUniformi(&quot;uStepNo&quot;,0),x.setUniformi(&quot;uPassNo&quot;,1),n(x,t.bufs),x.setUniformi(&quot;texNoise&quot;,t.bufs.getNoiseTextureUnit(1)),r(t.bufs,o,x),T.readyShaderProgram(y),y.setUniformi(&quot;uPassNo&quot;,1),y.setUniformf(&quot;uStepSize&quot;,-d),y.setUniformi(&quot;texNoise&quot;,t.bufs.getNoiseTextureUnit(1));const i=t.numberOfSteps/2;for(let e=0;e&lt;i;++e)n(y,t.bufs),r(t.bufs,o,y);T.readyShaderProgram(x),x.setUniformi(&quot;uStepNo&quot;,1),n(x,t.bufs),r(t.bufs,o,x),T.readyShaderProgram(y),y.setUniformf(&quot;uStepSize&quot;,d);for(let e=0;e&lt;i;++e)n(y,t.bufs),r(t.bufs,o,y);t.bufs.deactivateNoiseTexture(1),t.bufs.deactivateVectorTextures(),T.readyShaderProgram(b),b.setUniformi(&quot;texLIC&quot;,t.bufs.getLICTextureUnit()),b.setUniformi(&quot;texSeedPts&quot;,t.bufs.getSeedTextureUnit()),r(t.bufs,o,b)}if(t.antiAlias){const e=t.AAHProgram;T.readyShaderProgram(e),e.setUniformi(&quot;texLIC&quot;,t.bufs.getLICTextureUnit()),e.setUniformf(&quot;uDx&quot;,h);const a=t.AAVProgram;T.readyShaderProgram(a),a.setUniformi(&quot;texLIC&quot;,t.bufs.getLICTextureUnit()),a.setUniformf(&quot;uDy&quot;,v);for(let i=0;i&lt;t.antiAlias;++i)T.readyShaderProgram(e),n(e,t.bufs),r(t.bufs,o,e),T.readyShaderProgram(a),n(a,t.bufs),r(t.bufs,o,a)}return t.enhanceContrast!==Lg&amp;&amp;t.enhanceContrast!==Fg||e.contrastEnhance(!0,o),t.bufs.detachBuffers(),f.restorePreviousBindingsAndBuffers(),t.bufs.getLastLICBuffer()},e.contrastEnhance=(n,o)=&gt;{const a=t._openGLRenderWindow.getShaderCache();let{min:i,max:s}=e.getTextureMinMax(t.bufs.getLastLICBuffer(),o,t.context,t._openGLRenderWindow);(s&lt;=i||s&gt;1||i&lt;0)&amp;&amp;(console.error(&quot;Invalid color range: &quot;,i,s),i=0,s=1);let l=s-i;n&amp;&amp;(i+=l*t.lowLICContrastEnhancementFactor,s-=l*t.highLICContrastEnhancementFactor,l=s-i);const{CEProgram:c}=t;a.readyShaderProgram(c),c.setUniformi(&quot;texLIC&quot;,t.bufs.getLICTextureUnit()),c.setUniformf(&quot;uMin&quot;,i),c.setUniformf(&quot;uMaxMinDiff&quot;,l),r(t.bufs,o,c)}}(e,t)}var Ug={newInstance:sn.newInstance(Gg,&quot;vtkLineIntegralConvolution2D&quot;),extend:Gg};const _g={enableLIC:!1,nuberOfSteps:40,stepSize:.25,transformVectors:!0,normalizeVectors:!0,maskOnSurface:!1,maskThreshold:0,maskColor:[0,0,0],maskIntensity:0,enhancedLIC:!0,enhanceContrast:Vg,lowLICContrastEnhancementFactor:0,highLICContrastEnhancementFactor:0,lowColorContrastEnhancementFactor:0,highColorContrastEnhancementFactor:0,antiAlias:0,colorMode:0,LICIntensity:1,mapModeBias:0,noiseTextureSize:200,noiseTextureType:Ng,noiseGrainSize:8,noiseImpulseProbability:.1,noiseImpulseBackgroundValue:0,noiseGeneratorSeed:0,minNoiseValue:0,maxNoiseValue:1,numberOfNoiseLevels:2,shadersNeedBuilding:!0,reallocateTextures:!0,rebuildNoiseTexture:!1,viewPortScale:1};function Kg(e,t,n={}){Object.assign(t,_g,n),sn.obj(e,t),sn.setGet(e,t,[&quot;enableLIC&quot;,&quot;numberOfSteps&quot;,&quot;stepSize&quot;,&quot;normalizeVectors&quot;,&quot;transformVectors&quot;,&quot;maskOnSurface&quot;,&quot;maskThreshold&quot;,&quot;maskColor&quot;,&quot;maskIntensity&quot;,&quot;enhancedLIC&quot;,&quot;enhanceContrast&quot;,&quot;lowLICContrastEnhancementFactor&quot;,&quot;highLICContrastEnhancementFactor&quot;,&quot;lowColorContrastEnhancementFactor&quot;,&quot;highColorContrastEnhancementFactor&quot;,&quot;antiAlias&quot;,&quot;colorMode&quot;,&quot;LICIntensity&quot;,&quot;mapModeBias&quot;,&quot;noiseTextureSize&quot;,&quot;noiseTextureType&quot;,&quot;noiseGrainSize&quot;,&quot;minNoiseValue&quot;,&quot;maxNoiseValue&quot;,&quot;numberOfNoiseLevels&quot;,&quot;noiseImpulseProbability&quot;,&quot;noiseImpulseBackgroundValue&quot;,&quot;noiseGeneratorSeed&quot;,&quot;viewPortScale&quot;,&quot;rebuildNoiseTexture&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkSurfaceLICInterface&quot;)}(0,t)}var zg={newInstance:sn.newInstance(Kg,&quot;vtkSurfaceLICInterface&quot;),extend:Kg};const{Representation:Wg}=us;function Hg(e,t){t.classHierarchy.push(&quot;vtkOpenGLSurfaceLICInterface&quot;),e.renderQuad=(e,n)=&gt;{const r=t.licQuad,o=t.context;let a=t.licQuadVAO;a||(a=yd.newInstance(),a.setOpenGLRenderWindow(t._openGLRenderWindow),t.licQuadVAO=a),t.previousProgramHash!==n.getMd5Hash()&amp;&amp;(a.shaderProgramChanged(),r.getCABO().bind(),a.addAttributeArray(n,r.getCABO(),&quot;vertexDC&quot;,r.getCABO().getVertexOffset(),r.getCABO().getStride(),t.context.FLOAT,3,t.context.FALSE),a.addAttributeArray(n,r.getCABO(),&quot;tcoordDC&quot;,r.getCABO().getTCoordOffset(),r.getCABO().getStride(),t.context.FLOAT,2,t.context.FALSE),t.previousProgramHash=n.getMd5Hash()),o.drawArrays(o.TRIANGLES,0,r.getCABO().getElementCount()),a.release()},e.generateNoiseTexture=e=&gt;{if(!t.noiseTexture||t.licInterface.getRebuildNoiseTexture()){t.licInterface.setRebuildNoiseTexture(!1),t.noiseTexture&amp;&amp;t.noiseTexture.releaseGraphicsResources(),mo(t.noiseGeneratorSeed,{global:!0});let n=[];const{noiseTextureType:r,noiseGrainSize:o,numberOfNoiseLevels:a,noiseImpulseProbability:i,noiseImpulseBackgroundValue:s,minNoiseValue:l,maxNoiseValue:c}=t.licInterface.get(&quot;noiseTextureType&quot;,&quot;noiseGrainSize&quot;,&quot;numberOfNoiseLevels&quot;,&quot;noiseImpulseProbability&quot;,&quot;noiseImpulseBackgroundValue&quot;,&quot;minNoiseValue&quot;,&quot;maxNoiseValue&quot;);if(r===Ng)n=function(e,t,n,r,o,a){const i=Math.max(0,Math.min(1,n)),s=Float32Array.from({length:e*e},(()=&gt;{let e=0;if(1===i||Math.random()&gt;1-i)for(let t=0;t&lt;2048;++t)e+=Math.random();return e}));let l=0,c=2049;s.forEach((e=&gt;{c=1===i?e&lt;c?e:c:e&lt;c&amp;&amp;e&gt;0?e:c,l=e&gt;l?e:l}));let u=l-c;0===u&amp;&amp;(c=0,u=0===l?1:l);const d=t-1,p=0!==d?1/d:0,f=a-o;return s.map((e=&gt;{const n=e&lt;c?e:(e-c)/u,i=Math.floor(n*t);return e&gt;=c?1===t?a:o+(i&gt;d?d:i)*p*f:r}))}(Math.floor(e/o),a,i,s,l,c);else n=function([e,t],n,r,o){const a=o-r;return Float32Array.from({length:e*t},(()=&gt;{let e=Math.random();return e=Math.floor(e*n)/n,e=e*a+r,e&gt;1?1:e&lt;0?0:e}))}([Math.ceil(e/o),Math.ceil(e/o)],a,l,c);const u=1/o,d=Float32Array.from({length:e*e*4},((t,r)=&gt;{const a=r/4;if(r%4==0){const t=Math.floor(a%e*u),r=Math.floor(a/e*u);return n[r*(e/o)+t]}return r%4==1||r%4==3?1:0})),p=Hd.newInstance({wrapS:Hd.Wrap.REPEAT,wrapT:Hd.Wrap.REPEAT,minificationFilter:Hd.Filter.NEAREST,magnificationFilter:Hd.Filter.NEAREST,generateMipMap:!1,openGLDataType:t.context.FLOAT,baseLevel:0,maxLevel:0,autoParameters:!1});p.setOpenGLRenderWindow(t._openGLRenderWindow),p.create2DFromRaw({width:e,height:e,numComps:4,dataType:&quot;Float32Array&quot;,data:d}),p.activate(),p.sendParameters(),p.deactivate(),t.noiseTexture=p}},e.buildAShader=e=&gt;t._openGLRenderWindow.getShaderCache().readyShaderProgramArray(Pg,e,&quot;&quot;),e.allocateTextures=()=&gt;{const n=Hd.Filter.NEAREST,r=Hd.Filter.LINEAR,o=t._openGLRenderWindow;t.geometryImage||(t.geometryImage=e.allocateTexture(o,n)),t.vectorImage||(t.vectorImage=e.allocateTexture(o,r)),t.maskVectorImage||(t.maskVectorImage=e.allocateTexture(o,r)),t.LICImage||(t.LICImage=e.allocateTexture(o,n)),t.RGBColorImage||(t.RGBColorImage=e.allocateTexture(o,n)),t.HSLColorImage||(t.HSLColorImage=e.allocateTexture(o,n)),t.depthTexture||(t.depthTexture=e.allocateDepthTexture(o))},e.allocateTexture=(e,n)=&gt;{const r=t.context,o=Hd.newInstance({wrapS:Hd.Wrap.CLAMP_TO_EDGE,wrapT:Hd.Wrap.CLAMP_TO_EDGE,minificationFilter:n,magnificationFilter:n,generateMipmap:!1,openGLDataType:r.FLOAT,baseLevel:0,maxLevel:0,autoParameters:!1});return o.setOpenGLRenderWindow(e),o.setInternalFormat(r.RGBA32F),o.create2DFromRaw({width:t.size[0],height:t.size[1],numComps:4,dataType:&quot;Float32Array&quot;,data:null}),o.activate(),o.sendParameters(),o.deactivate(),o},e.allocateDepthTexture=e=&gt;{const n=t.context,r=Hd.newInstance({generateMipmap:!1,openGLDataType:n.FLOAT,autoParameters:!1});return r.setOpenGLRenderWindow(e),r.createDepthFromRaw({width:t.size[0],height:t.size[1],dataType:&quot;Float32Array&quot;,data:null}),r.activate(),r.sendParameters(),r.deactivate(),r},e.createFBO=()=&gt;{if(!t.framebuffer){t.licHelper=null;const e=Gp.newInstance();e.setOpenGLRenderWindow(t._openGLRenderWindow),e.saveCurrentBindingsAndBuffers(),e.create(...t.size),e.populateFramebuffer(),t.framebuffer=e,e.restorePreviousBindingsAndBuffers()}},e.completedGeometry=()=&gt;{const e=t.context,n=t.framebuffer;n.removeColorBuffer(0),n.removeColorBuffer(1),n.removeColorBuffer(2),n.removeDepthBuffer(),e.drawBuffers([e.NONE]),n.restorePreviousBindingsAndBuffers()},e.buildAllShaders=()=&gt;{t.shadersNeedBuilding&amp;&amp;(t.licColorPass=e.buildAShader(&quot;//VTK::System::Dec\\n\\n//=========================================================================\\n//\\n//  Program:   Visualization Toolkit\\n//  Module:    vtkSurfaceLICMapper_fs2.glsl\\n//\\n//  Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen\\n//  All rights reserved.\\n//  See Copyright.txt or http://www.kitware.com/Copyright.htm for details.\\n//\\n//     This software is distributed WITHOUT ANY WARRANTY; without even\\n//     the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR\\n//     PURPOSE.  See the above copyright notice for more information.\\n//\\n//=========================================================================\\n\\n// This shader combines surface geometry, LIC, and  scalar colors.\\n\\n// the output of this shader\\nlayout(location = 0) out vec4 RGBOutput;\\nlayout(location = 1) out vec4 HSLOutput;\\n\\nuniform sampler2D texVectors;       // vectors, depth\\nuniform sampler2D texGeomColors;    // scalar colors + lighting\\nuniform sampler2D texLIC;           // image lic\\nuniform int       uScalarColorMode; // select between blend, and map shader\\nuniform float     uLICIntensity;    // blend shader: blending factor for lic&#x27;d colors\\nuniform float     uMapBias;         // map shader: adjust the brightness of the result\\nuniform float     uMaskIntensity;   // blending factor for mask color\\nuniform vec3      uMaskColor;       // color for the masked out fragments\\n\\nin vec2 tcoordVC;\\n\\n/**\\nConvert from RGB color space into HSL colorspace.\\n*/\\nvec3 RGBToHSL(vec3 RGB)\\n{\\n  vec3 HSL = vec3(0.0, 0.0, 0.0);\\n\\n  float RGBMin = min(min(RGB.r, RGB.g), RGB.b);\\n  float RGBMax = max(max(RGB.r, RGB.g), RGB.b);\\n  float RGBMaxMinDiff = RGBMax - RGBMin;\\n\\n  HSL.z = (RGBMax + RGBMin) / 2.0;\\n\\n  if (RGBMaxMinDiff == 0.0)\\n    {\\n    // Gray scale\\n    HSL.x = 0.0;\\n    HSL.y = 0.0;\\n    }\\n  else\\n    {\\n    // Color\\n    if (HSL.z &lt; 0.5)\\n      HSL.y = RGBMaxMinDiff / (RGBMax + RGBMin);\\n    else\\n      HSL.y = RGBMaxMinDiff / (2.0 - RGBMax - RGBMin);\\n\\n    float dR\\n      = (((RGBMax - RGB.r) / 6.0) + (RGBMaxMinDiff / 2.0)) / RGBMaxMinDiff;\\n    float dG\\n      = (((RGBMax - RGB.g) / 6.0) + (RGBMaxMinDiff / 2.0)) / RGBMaxMinDiff;\\n    float dB\\n      = (((RGBMax - RGB.b) / 6.0) + (RGBMaxMinDiff / 2.0)) / RGBMaxMinDiff;\\n\\n    if (RGB.r == RGBMax)\\n      HSL.x = dB - dG;\\n    else\\n    if (RGB.g == RGBMax)\\n      HSL.x = (1.0 / 3.0) + dR - dB;\\n    else\\n    if (RGB.b == RGBMax)\\n      HSL.x = (2.0 / 3.0) + dG - dR;\\n\\n    if (HSL.x &lt; 0.0)\\n      HSL.x += 1.0;\\n\\n    if (HSL.x &gt; 1.0)\\n      HSL.x -= 1.0;\\n    }\\n\\n  return HSL;\\n}\\n\\n/**\\nHelper for HSL to RGB conversion.\\n*/\\nfloat Util(float v1, float v2, float vH)\\n{\\n  if (vH &lt; 0.0)\\n    vH += 1.0;\\n\\n  if (vH &gt; 1.0)\\n     vH -= 1.0;\\n\\n  if ((6.0 * vH) &lt; 1.0)\\n    return (v1 + (v2 - v1) * 6.0 * vH);\\n\\n  if ((2.0 * vH) &lt; 1.0)\\n    return (v2);\\n\\n  if ((3.0 * vH) &lt; 2.0)\\n    return (v1 + (v2 - v1) * ((2.0 / 3.0) - vH) * 6.0);\\n\\n  return v1;\\n}\\n\\n/**\\nConvert from HSL space into RGB space.\\n*/\\nvec3 HSLToRGB(vec3 HSL)\\n{\\n  vec3 RGB;\\n  if (HSL.y == 0.0)\\n    {\\n    // Gray\\n    RGB.r = HSL.z;\\n    RGB.g = HSL.z;\\n    RGB.b = HSL.z;\\n    }\\n  else\\n    {\\n    // Chromatic\\n    float v2;\\n    if (HSL.z &lt; 0.5)\\n      v2 = HSL.z * (1.0 + HSL.y);\\n    else\\n      v2 = (HSL.z + HSL.y) - (HSL.y * HSL.z);\\n\\n    float v1 = 2.0 * HSL.z - v2;\\n\\n    RGB.r = Util(v1, v2, HSL.x + (1.0 / 3.0));\\n    RGB.g = Util(v1, v2, HSL.x);\\n    RGB.b = Util(v1, v2, HSL.x - (1.0 / 3.0));\\n    }\\n\\n  return RGB.rgb;\\n}\\n\\nvoid main()\\n{\\n  vec4 lic = texture2D(texLIC, tcoordVC.st);\\n  vec4 geomColor = texture2D(texGeomColors, tcoordVC.st);\\n\\n  // depth is used to determine which fragment belong to us\\n  // and we can change\\n  float depth = texture2D(texVectors, tcoordVC.st).a;\\n\\n  vec3 fragColorRGB;\\n  float valid;\\n  if (depth &gt; 1.0e-3)\\n    {\\n    // we own it\\n    // shade LIC&#x27;ed geometry, or apply mask\\n    if (lic.g!=0.0)\\n      {\\n      // it&#x27;s masked\\n      // apply fragment mask\\n      fragColorRGB = uMaskIntensity * uMaskColor + (1.0 - uMaskIntensity) * geomColor.rgb;\\n      valid = 0.0;\\n      }\\n    else\\n      {\\n      if (uScalarColorMode==0)\\n        {\\n        // blend with scalars\\n        fragColorRGB = lic.rrr * uLICIntensity + geomColor.rgb * (1.0 - uLICIntensity);\\n        }\\n      else\\n        {\\n        // multiply with scalars\\n        fragColorRGB = geomColor.rgb * clamp((uMapBias + lic.r), 0.0, 1.0);\\n        }\\n      if (lic.b != 0.0)\\n        {\\n        // didn&#x27;t have the required guard pixels\\n        // don&#x27;t consider it in min max estimation\\n        // for histpgram stretching\\n        valid = 0.0;\\n        }\\n      else\\n        {\\n        // ok to use in min/max estimates for histogram\\n        // stretching\\n        valid = 1.0;\\n        }\\n      }\\n    }\\n  else\\n    {\\n    // we don&#x27;t own it\\n    // pass through scalars\\n    fragColorRGB = geomColor.rgb;\\n    valid = 0.0;\\n    }\\n\\n  // if no further stages this texture is\\n  // copied to the screen\\n  RGBOutput = vec4(fragColorRGB, geomColor.a);\\n\\n  // if further stages, move to hsl space for contrast\\n  // enhancement. encoding validity saves moving a texture to the cpu\\n  vec3 fragColorHSL = RGBToHSL(fragColorRGB);\\n  HSLOutput = vec4(fragColorHSL, valid);\\n}\\n&quot;),t.licCopyPass=e.buildAShader(&quot;//VTK::System::Dec\\n\\n//=========================================================================\\n//\\n//  Program:   Visualization Toolkit\\n//  Module:    vtkSurfaceLICMapper_DCpy.glsl\\n//\\n//  Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen\\n//  All rights reserved.\\n//  See Copyright.txt or http://www.kitware.com/Copyright.htm for details.\\n//\\n//     This software is distributed WITHOUT ANY WARRANTY; without even\\n//     the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR\\n//     PURPOSE.  See the above copyright notice for more information.\\n//\\n//=========================================================================\\n\\n// This shader copies fragments and depths to the output buffer\\n\\n// the output of this shader\\n//VTK::Output::Dec\\n\\nuniform sampler2D texDepth;     // z values from vertex shader\\nuniform sampler2D texRGBColors; // final rgb LIC colors\\n\\nin vec2 tcoordVC;\\n\\nvoid main()\\n{\\n  gl_FragDepth = texture2D(texDepth, tcoordVC).x;\\n  gl_FragData[0] = texture2D(texRGBColors, tcoordVC);\\n\\n  // since we render a screen aligned quad\\n  // we&#x27;re going to be writing fragments\\n  // not touched by the original geometry\\n  // it&#x27;s critical not to modify those\\n  // fragments.\\n  if (gl_FragDepth == 1.0)\\n    {\\n    discard;\\n    }\\n}\\n&quot;),t.enhanceContrastPass=e.buildAShader(&quot;//VTK::System::Dec\\n\\n//=========================================================================\\n//\\n//  Program:   Visualization Toolkit\\n//  Module:    vtkSurfaceLICMapper_CE.glsl\\n//\\n//  Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen\\n//  All rights reserved.\\n//  See Copyright.txt or http://www.kitware.com/Copyright.htm for details.\\n//\\n//     This software is distributed WITHOUT ANY WARRANTY; without even\\n//     the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR\\n//     PURPOSE.  See the above copyright notice for more information.\\n//\\n//=========================================================================\\n\\n// color contrast enhance stage implemented via histogram stretching\\n// on lightness channel. if the min and max are tweaked it can generate\\n// out-of-range values these will be clamped in 0 to 1\\n\\n// the output of this shader\\n//VTK::Output::Dec\\n\\nuniform sampler2D texGeomColors; // scalars + lighting\\nuniform sampler2D texLIC;        // image lic, mask\\nuniform sampler2D texHSLColors;  // hsla colors\\n\\nuniform float     uLMin;         // min lightness over all fragments\\nuniform float     uLMaxMinDiff;  // max - min lightness over all fragments\\n\\nin vec2 tcoordVC;\\n\\nvec3 HSLToRGB(vec3 HSL)\\n{\\n  vec3 RGB;\\n  float v;\\n  float h = HSL.x;\\n  float sl = HSL.y;\\n  float l = HSL.z;\\n\\n  v = (l &lt;= 0.5) ? (l * (1.0 + sl)) : (l + sl - l * sl);\\n  if (v &lt;= 0.0) {\\n    RGB = vec3(0.0,0.0,0.0);\\n  } else {\\n    float m;\\n    int sextant;\\n    float fract, vsf, mid1, mid2;\\n\\n    m = l + l - v;\\n    h *= 6.0;\\n    sextant = int(h);\\n    fract = h - float(sextant);\\n\\n    vsf = (v - m) * fract;\\n    mid1 = m + vsf;\\n    mid2 = v - vsf;\\n    switch (sextant) {\\n      case 0: RGB.r = v; RGB.g = mid1; RGB.b = m; break;\\n      case 1: RGB.r = mid2; RGB.g = v; RGB.b = m; break;\\n      case 2: RGB.r = m; RGB.g = v; RGB.b = mid1; break;\\n      case 3: RGB.r = m; RGB.g = mid2; RGB.b = v; break;\\n      case 4: RGB.r = mid1; RGB.g = m; RGB.b = v; break;\\n      case 5: RGB.r = v; RGB.g = m; RGB.b = mid2; break;\\n    }\\n  }\\n  return RGB;\\n}\\n\\nvoid main()\\n{\\n  // lookup hsl color , mask\\n  vec4 fragColor = texture2D(texHSLColors, tcoordVC.st);\\n\\n  // don&#x27;t modify masked fragments (masked =&gt; lic.g==1)\\n  vec4 lic = texture2D(texLIC, tcoordVC.st);\\n  if (lic.g==0.0)\\n    {\\n    // normalize lightness channel\\n    fragColor.z = clamp((fragColor.z - uLMin)/uLMaxMinDiff, 0.0, 1.0);\\n    }\\n\\n  // back into rgb space\\n  fragColor.rgb = HSLToRGB(fragColor.xyz);\\n\\n  // add alpha\\n  vec4 geomColor = texture2D(texGeomColors, tcoordVC.st);\\n  fragColor.a = geomColor.a;\\n\\n  gl_FragData[0] = fragColor;\\n}\\n&quot;),t.shadersNeedBuilding=!1)},e.initializeResources=()=&gt;{e.createFBO(),e.generateNoiseTexture(t.licInterface.getNoiseTextureSize()),e.allocateTextures(),e.buildAllShaders(),t.licQuad||(t.licQuad=function(e){const t=Sd.newInstance();t.setOpenGLRenderWindow(e);const n=new Float32Array(12);for(let e=0;e&lt;4;e++)n[3*e]=e%2*2-1,n[3*e+1]=e&gt;1?1:-1,n[3*e+2]=0;const r=new Float32Array([0,0,1,0,0,1,1,1]),o=new Uint16Array(8);o[0]=3,o[1]=0,o[2]=1,o[3]=3,o[4]=3,o[5]=0,o[6]=3,o[7]=2;const a=Is.newInstance({numberOfComponents:3,values:n});a.setName(&quot;points&quot;);const i=Is.newInstance({numberOfComponents:1,values:o}),s=Is.newInstance({numberOfComponents:2,values:r});return t.getCABO().createVBO(i,&quot;polys&quot;,Wg.SURFACE,{points:a,cellOffset:0,tcoords:s}),t}(t._openGLRenderWindow)),t.licHelper||(t.licHelper=Ug.newInstance())},e.prepareForGeometry=()=&gt;{const e=t.framebuffer;e.saveCurrentBindingsAndBuffers(),e.bind(),t.geometryImage.activate(),t.vectorImage.activate(),t.maskVectorImage.activate(),e.removeColorBuffer(0),e.removeColorBuffer(2),e.removeColorBuffer(3),e.setColorBuffer(t.geometryImage,0),e.setColorBuffer(t.vectorImage,2),e.setColorBuffer(t.maskVectorImage,3),e.setDepthBuffer(t.depthTexture);const n=t.context;n.drawBuffers([n.COLOR_ATTACHMENT0,n.NONE,n.COLOR_ATTACHMENT2,n.COLOR_ATTACHMENT3]),n.viewport(0,0,...t.size),n.scissor(0,0,...t.size),n.disable(n.BLEND),n.disable(n.DEPTH_TEST),n.disable(n.SCISSOR_TEST),n.clearColor(0,0,0,0),n.clear(n.DEPTH_BUFFER_BIT|n.COLOR_BUFFER_BIT)},e.copyToScreen=n=&gt;{t.RGBColorImage.activate(),t.depthTexture.activate(),t.licCopyPass||e.initializeResources();const r=t.licCopyPass;t._openGLRenderWindow.getShaderCache().readyShaderProgram(r);const o=t.context;o.viewport(0,0,...n),o.scissor(0,0,...n),o.disable(o.BLEND),o.enable(o.DEPTH_TEST),o.disable(o.SCISSOR_TEST),r.setUniformi(&quot;texDepth&quot;,t.depthTexture.getTextureUnit()),r.setUniformi(&quot;texRGBColors&quot;,t.RGBColorImage.getTextureUnit()),e.renderQuad(n,r),t.RGBColorImage.deactivate(),t.depthTexture.deactivate()},e.combineColorsAndLIC=()=&gt;{const n=t.context,r=t.framebuffer;r.saveCurrentBindingsAndBuffers(),r.bind(),r.create(...t.size),r.removeColorBuffer(0),r.removeColorBuffer(1),r.setColorBuffer(t.RGBColorImage,0),r.setColorBuffer(t.HSLColorImage,1),n.drawBuffers([n.COLOR_ATTACHMENT0,n.COLOR_ATTACHMENT1]),n.disable(n.DEPTH_TEST),n.clearColor(0,0,0,0),n.clear(n.COLOR_BUFFER_BIT),t.vectorImage.activate(),t.geometryImage.activate(),t.LICImage.activate(),t.licColorPass||e.initializeResources();const o=t.licColorPass;t._openGLRenderWindow.getShaderCache().readyShaderProgram(o),o.setUniformi(&quot;texVectors&quot;,t.vectorImage.getTextureUnit()),o.setUniformi(&quot;texGeomColors&quot;,t.geometryImage.getTextureUnit());const{colorMode:a,LICIntensity:i,mapModeBias:s,maskIntensity:l,maskColor:c,enhanceContrast:u,lowColorContrastEnhancementFactor:d,highColorContrastEnhancementFactor:p}=t.licInterface.get(&quot;colorMode&quot;,&quot;LICIntensity&quot;,&quot;mapModeBias&quot;,&quot;maskIntensity&quot;,&quot;maskColor&quot;,&quot;enhanceContrast&quot;,&quot;lowColorContrastEnhancementFactor&quot;,&quot;highColorContrastEnhancementFactor&quot;);if(o.setUniformi(&quot;texLIC&quot;,t.LICImage.getTextureUnit()),o.setUniformi(&quot;uScalarColorMode&quot;,a),o.setUniformf(&quot;uLICIntensity&quot;,i),o.setUniformf(&quot;uMapBias&quot;,s),o.setUniformf(&quot;uMaskIntensity&quot;,l),o.setUniform3f(&quot;uMaskColor&quot;,...c),e.renderQuad(t.size,o),t.vectorImage.deactivate(),t.geometryImage.deactivate(),t.LICImage.deactivate(),r.removeColorBuffer(0),r.removeColorBuffer(1),n.drawBuffers([n.NONE]),u===Bg||u===Fg){let o=0,a=1,i=a-o;o+=i*d,a-=i*p,i=a-o,r.setColorBuffer(t.RGBColorImage),n.drawBuffers([n.COLOR_ATTACHMENT0]),t.geometryImage.activate(),t.HSLColorImage.activate(),t.LICImage.activate(),t.enhanceContrastPass||e.initializeResources();const{enhanceContrastPass:s}=t;t._openGLRenderWindow.getShaderCache().readyShaderProgram(s),s.setUniformi(&quot;texGeomColors&quot;,t.geometryImage.getTextureUnit()),s.setUniformi(&quot;texHSLColors&quot;,t.HSLColorImage.getTextureUnit()),s.setUniformi(&quot;texLIC&quot;,t.LICImage.getTextureUnit()),s.setUniformf(&quot;uLMin&quot;,o),s.setUniformf(&quot;uLMaxMinDiff&quot;,i),e.renderQuad(t.size,s),t.geometryImage.deactivate(),t.HSLColorImage.deactivate(),t.LICImage.deactivate(),r.removeColorBuffer(0),n.drawBuffers([n.NONE])}r.restorePreviousBindingsAndBuffers()},e.applyLIC=()=&gt;{const e=t.licInterface.get(&quot;stepSize&quot;,&quot;numberOfSteps&quot;,&quot;enhancedLIC&quot;,&quot;enhanceContrast&quot;,&quot;lowLICContrastEnhancementFactor&quot;,&quot;highLICContrastEnhancementFactor&quot;,&quot;antiAlias&quot;,&quot;normalizeVectors&quot;,&quot;maskThreshold&quot;,&quot;transformVectors&quot;),n=t.licHelper.executeLIC(t.size,t.vectorImage,t.maskVectorImage,t.noiseTexture,t._openGLRenderWindow,e);if(!n)return console.error(&quot;Failed to compute image LIC&quot;),void(t.LICImage=null);t.LICImage=n},e.setSize=n=&gt;{Array.isArray(n)&amp;&amp;2===n.length&amp;&amp;(t.size&amp;&amp;t.size[0]===n[0]&amp;&amp;t.size[1]===n[1]||(t.size=n,e.releaseGraphicsResources()))},e.releaseGraphicsResources=()=&gt;{t.geometryImage&amp;&amp;(t.geometryImage.releaseGraphicsResources(),t.geometryImage=null),t.vectorImage&amp;&amp;(t.vectorImage.releaseGraphicsResources(),t.vectorImage=null),t.maskVectorImage&amp;&amp;(t.maskVectorImage.releaseGraphicsResources(),t.maskVectorImage=null),t.LICImage&amp;&amp;(t.LICImage.releaseGraphicsResources(),t.LICImage=null),t.RGBColorImage&amp;&amp;(t.RGBColorImage.releaseGraphicsResources(),t.RGBColorImage=null),t.HSLColorImage&amp;&amp;(t.HSLColorImage.releaseGraphicsResources(),t.HSLColorImage=null),t.depthTexture&amp;&amp;(t.depthTexture.releaseGraphicsResources(),t.depthTexture=null),t.framebuffer&amp;&amp;(t.framebuffer.releaseGraphicsResources(),t.framebuffer=null)}}const jg={context:null,shadersNeedBuilding:!0,reallocateTextures:!0,size:null,licInterface:null};function Xg(e,t,n={}){Object.assign(t,jg,n),zg.extend(e,t,n),sn.obj(e,t),sn.setGet(e,t,[&quot;context&quot;,&quot;_openGLRenderWindow&quot;,&quot;reallocateTextures&quot;,&quot;licInterface&quot;,&quot;size&quot;]),sn.moveToProtected(e,t,[&quot;openGLRenderWindow&quot;]),Hg(e,t)}var qg={newInstance:sn.newInstance(Xg,&quot;vtkSurfaceLICInterface&quot;),extend:Xg};const{vtkErrorMacro:Yg}=ln;const Jg={canDrawLIC:!1,rebuildLICShaders:!1,rebuildLICBuffers:!1,openGLLicInterface:null};const Zg=Xt((function(e,t,n={}){Object.assign(t,Jg,n),up.extend(e,t,n),function(e,t){t.classHierarchy.push(&quot;vtkOpenGLSurfaceLICMapper&quot;);const n={...e};e.getNeedToRebuildShaders=(e,r,o)=&gt;t.rebuildLICShaders||n.getNeedToRebuildShaders(e,r,o),e.replaceShaderValues=(e,r,o)=&gt;{const a=t.lastBoundBO.getReferenceByName(&quot;lastLightComplexity&quot;);let i=e.Vertex,s=e.Fragment;const l=t.renderable.getInputArrayToProcess(0);if(l&amp;&amp;t.canDrawLIC){s=vd.substitute(s,&quot;//VTK::Output::Dec&quot;,[&quot;//VTK::Output::Dec&quot;,&quot;layout(location = 2) out vec4 vectorTexture;&quot;,&quot;layout(location = 3) out vec4 maskVectorTexture;&quot;]).result;const n=`${l.getName()}MC`;0===a&amp;&amp;t.lastBoundBO.set({lastLightComplexity:1},!0),i=vd.substitute(i,&quot;//VTK::TCoord::Dec&quot;,[`attribute vec3 ${n};`,&quot;out vec3 licOutput;&quot;,&quot;//VTK::TCoord::Dec&quot;]).result,i=vd.substitute(i,&quot;//VTK::TCoord::Impl&quot;,[`licOutput = ${n};`,&quot;//VTK::TCoord::Impl&quot;]).result,s=vd.substitute(s,&quot;//VTK::TCoord::Dec&quot;,[&quot;uniform int uMaskOnSurface;&quot;,&quot;uniform mat3 normalMatrix;&quot;,&quot;in vec3 licOutput;&quot;,&quot;//VTK::TCoord::Dec&quot;]).result,s=vd.substitute(s,&quot;//VTK::TCoord::Impl&quot;,[&quot;// projected vectors&quot;,&quot;  vec3 tcoordLIC = normalMatrix * licOutput;&quot;,&quot;  vec3 normN = normalize(normalVCVSOutput);&quot;,&quot;  float k = dot(tcoordLIC, normN);&quot;,&quot;  vec3 projected = (tcoordLIC - k*normN);&quot;,&quot;  vectorTexture = vec4(projected.x, projected.y, 0.0 , 1.0);&quot;,&quot;// vectors for fragment masking&quot;,&quot;  if (uMaskOnSurface == 0)&quot;,&quot;    {&quot;,&quot;    maskVectorTexture = vec4(licOutput, 1.0);&quot;,&quot;    }&quot;,&quot;  else&quot;,&quot;    {&quot;,&quot;    maskVectorTexture = vec4(projected.x, projected.y, 0.0 , 1.0);&quot;,&quot;    }&quot;,&quot;//VTK::TCoord::Impl&quot;],!1).result,e.Vertex=i}t.rebuildLICShaders=!1,e.Fragment=s,n.replaceShaderValues(e,r,o),a&gt;0&amp;&amp;t.lastBoundBO.set({lastLightComplexity:a},!0)},e.setMapperShaderParameters=(e,r,o)=&gt;{n.setMapperShaderParameters(e,r,o),t.canDrawLIC&amp;&amp;e.getProgram().setUniformi(&quot;uMaskOnSurface&quot;,t.maskOnSurface)},e.getNeedToRebuildBufferObjects=(e,r)=&gt;t.rebuildLICBuffers||n.getNeedToRebuildBufferObjects(e,r),e.buildBufferObjects=(e,r)=&gt;{if(t.canDrawLIC){const e=t.renderable.getInputArrayToProcess(0);e&amp;&amp;e.getNumberOfComponents()&gt;1&amp;&amp;t.renderable.setCustomShaderAttributes([e.getName()])}t.rebuildLICBuffers=!1,n.buildBufferObjects(e,r)},e.pushState=e=&gt;{t.stateCache={[e.BLEND]:e.isEnabled(e.BLEND),[e.DEPTH_TEST]:e.isEnabled(e.DEPTH_TEST),[e.SCISSOR_TEST]:e.isEnabled(e.SCISSOR_TEST),[e.CULL_FACE]:e.isEnabled(e.CULL_FACE)}},e.popState=e=&gt;{const n=n=&gt;t.stateCache[n]?e.enable(n):e.disable(n);n(e.BLEND),n(e.DEPTH_TEST),n(e.SCISSOR_TEST),n(e.CULL_FACE)},e.renderPiece=(r,o)=&gt;{let a=!0;t._openGLRenderWindow.getWebgl2()||(Yg(&quot;SurfaceLICMapper Requires WebGL 2&quot;),a=!1),t.context.getExtension(&quot;EXT_color_buffer_float&quot;)&amp;&amp;t.context.getExtension(&quot;OES_texture_float_linear&quot;)||(Yg(&quot;SurfaceLICMapper requires the EXT_color_buffer_float and OES_texture_float_linear WebGL2 extensions.&quot;),a=!1),t.currentInput=t.renderable.getInputData(),t.currentInput||(Yg(&quot;No input&quot;),a=!1);let i=t.renderable.getLicInterface();i||(i=zg.newInstance(),t.renderable.setLicInterface(i)),t.openGLLicInterface||(t.openGLLicInterface=qg.newInstance()),i!==t.openGLLicInterface.getLicInterface()&amp;&amp;t.openGLLicInterface.setLicInterface(i);const s=t.renderable.getInputArrayToProcess(0);if(i.getEnableLIC()&amp;&amp;(!s||s.getNumberOfComponents()&lt;2)&amp;&amp;(Yg(&quot;No vector input array&quot;),a=!1),i.getEnableLIC()||(a=!1),t.canDrawLIC!==a&amp;&amp;(t.rebuildLICShaders=!0,t.rebuildLICBuffers=!0),t.canDrawLIC=a,!a||!i.getEnableLIC())return void n.renderPiece(r,o);const l=t.context,c=o.getProperty().getBackfaceCulling(),u=o.getProperty().getFrontfaceCulling();c||u?u?(t._openGLRenderWindow.enableCullFace(),l.cullFace(l.FRONT)):(t._openGLRenderWindow.enableCullFace(),l.cullFace(l.BACK)):t._openGLRenderWindow.disableCullFace();const d=t._openGLRenderWindow.getSize(),p=d.map((e=&gt;Math.round(e*i.getViewPortScale())));t.openGLLicInterface.setSize(p),t.openGLLicInterface.setOpenGLRenderWindow(t._openGLRenderWindow),t.openGLLicInterface.setContext(t.context),e.pushState(t.context),t.openGLLicInterface.initializeResources(),t.openGLLicInterface.prepareForGeometry(),e.popState(t.context),n.renderPieceStart(r,o),n.renderPieceDraw(r,o),n.renderPieceFinish(r,o),e.pushState(t.context),t.VBOBuildTime.modified(),t.openGLLicInterface.completedGeometry(),t.context.disable(t.context.CULL_FACE),t.openGLLicInterface.applyLIC(),t.openGLLicInterface.combineColorsAndLIC(),t.openGLLicInterface.copyToScreen(d),e.popState(t.context)}}(e,t),Gt(e,t,[&quot;openGLLicInterface&quot;])}),&quot;vtkOpenGLSurfaceLICMapper&quot;);vn(&quot;vtkSurfaceLICMapper&quot;,Zg);const{vtkErrorMacro:Qg}=ln;const $g={};const em=Xt((function(e,t,n={}){Object.assign(t,$g,n),up.extend(e,t,n),function(e,t){t.classHierarchy.push(&quot;vtkOpenGLSphereMapper&quot;);const n={...e};e.getShaderTemplate=(e,t,n)=&gt;{e.Vertex=&quot;//VTK::System::Dec\\n\\n/*=========================================================================\\n\\n  Program:   Visualization Toolkit\\n  Module:    vtkSphereMapperVS.glsl\\n\\n  Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen\\n  All rights reserved.\\n  See Copyright.txt or http://www.kitware.com/Copyright.htm for details.\\n\\n     This software is distributed WITHOUT ANY WARRANTY; without even\\n     the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR\\n     PURPOSE.  See the above copyright notice for more information.\\n\\n=========================================================================*/\\n// this shader implements imposters in OpenGL for Spheres\\n\\nattribute vec4 vertexMC;\\nattribute vec2 offsetMC;\\n\\n// optional normal declaration\\n//VTK::Normal::Dec\\n\\n//VTK::Picking::Dec\\n\\n// Texture coordinates\\n//VTK::TCoord::Dec\\n\\nuniform mat3 normalMatrix; // transform model coordinate directions to view coordinates\\n\\n// material property values\\n//VTK::Color::Dec\\n\\n// clipping plane vars\\n//VTK::Clip::Dec\\n\\n// camera and actor matrix values\\n//VTK::Camera::Dec\\n\\nvarying vec4 vertexVCVSOutput;\\nvarying float radiusVCVSOutput;\\nvarying vec3 centerVCVSOutput;\\n\\nuniform int cameraParallel;\\nuniform float scaleFactor;\\n\\nvoid main()\\n{\\n  //VTK::Picking::Impl\\n\\n  //VTK::Color::Impl\\n\\n  //VTK::Normal::Impl\\n\\n  //VTK::TCoord::Impl\\n\\n  //VTK::Clip::Impl\\n\\n  // compute the projected vertex position\\n  vec2 scaledOffsetMC = scaleFactor * offsetMC;\\n  vertexVCVSOutput = MCVCMatrix * vertexMC;\\n  centerVCVSOutput = vertexVCVSOutput.xyz;\\n  radiusVCVSOutput = length(scaledOffsetMC)*0.5;\\n\\n  // make the triangle face the camera\\n  if (cameraParallel == 0)\\n    {\\n    vec3 dir = normalize(-vertexVCVSOutput.xyz);\\n    vec3 base2 = normalize(cross(dir,vec3(1.0,0.0,0.0)));\\n    vec3 base1 = cross(base2,dir);\\n    vertexVCVSOutput.xyz = vertexVCVSOutput.xyz + scaledOffsetMC.x*base1 + scaledOffsetMC.y*base2;\\n    }\\n  else\\n    {\\n    // add in the offset\\n    vertexVCVSOutput.xy = vertexVCVSOutput.xy + scaledOffsetMC;\\n    }\\n\\n  gl_Position = VCPCMatrix * vertexVCVSOutput;\\n}\\n&quot;,e.Fragment=Xd,e.Geometry=&quot;&quot;},e.replaceShaderValues=(e,r,o)=&gt;{let a=e.Vertex,i=e.Fragment;a=vd.substitute(a,&quot;//VTK::Camera::Dec&quot;,[&quot;uniform mat4 VCPCMatrix;\\n&quot;,&quot;uniform mat4 MCVCMatrix;&quot;]).result,i=vd.substitute(i,&quot;//VTK::PositionVC::Dec&quot;,[&quot;varying vec4 vertexVCVSOutput;&quot;]).result,i=vd.substitute(i,&quot;//VTK::PositionVC::Impl&quot;,[&quot;vec4 vertexVC = vertexVCVSOutput;\\n&quot;]).result,i=vd.substitute(i,&quot;//VTK::Normal::Dec&quot;,[&quot;uniform float invertedDepth;\\n&quot;,&quot;uniform int cameraParallel;\\n&quot;,&quot;varying float radiusVCVSOutput;\\n&quot;,&quot;varying vec3 centerVCVSOutput;\\n&quot;,&quot;uniform mat4 VCPCMatrix;\\n&quot;]).result;let s=&quot;&quot;;t.context.getExtension(&quot;EXT_frag_depth&quot;)&amp;&amp;(s=&quot;gl_FragDepthEXT = (pos.z / pos.w + 1.0) / 2.0;\\n&quot;),t._openGLRenderWindow.getWebgl2()&amp;&amp;(s=&quot;gl_FragDepth = (pos.z / pos.w + 1.0) / 2.0;\\n&quot;),i=vd.substitute(i,&quot;//VTK::Depth::Impl&quot;,[&quot;  vec3 EyePos;\\n&quot;,&quot;  vec3 EyeDir;\\n&quot;,&quot;  if (cameraParallel != 0) {\\n&quot;,&quot;    EyePos = vec3(vertexVC.x, vertexVC.y, vertexVC.z + 3.0*radiusVCVSOutput);\\n&quot;,&quot;    EyeDir = vec3(0.0,0.0,-1.0); }\\n&quot;,&quot;  else {\\n&quot;,&quot;    EyeDir = vertexVC.xyz;\\n&quot;,&quot;    EyePos = vec3(0.0,0.0,0.0);\\n&quot;,&quot;    float lengthED = length(EyeDir);\\n&quot;,&quot;    EyeDir = normalize(EyeDir);\\n&quot;,&quot;    if (lengthED &gt; radiusVCVSOutput*3.0) {\\n&quot;,&quot;      EyePos = vertexVC.xyz - EyeDir*3.0*radiusVCVSOutput; }\\n&quot;,&quot;    }\\n&quot;,&quot;  EyePos = EyePos - centerVCVSOutput;\\n&quot;,&quot;  EyePos = EyePos/radiusVCVSOutput;\\n&quot;,&quot;  float b = 2.0*dot(EyePos,EyeDir);\\n&quot;,&quot;  float c = dot(EyePos,EyePos) - 1.0;\\n&quot;,&quot;  float d = b*b - 4.0*c;\\n&quot;,&quot;  vec3 normalVCVSOutput = vec3(0.0,0.0,1.0);\\n&quot;,&quot;  if (d &lt; 0.0) { discard; }\\n&quot;,&quot;  else {\\n&quot;,&quot;    float t = (-b - invertedDepth*sqrt(d))*0.5;\\n&quot;,&quot;    normalVCVSOutput = invertedDepth*normalize(EyePos + t*EyeDir);\\n&quot;,&quot;    vertexVC.xyz = normalVCVSOutput*radiusVCVSOutput + centerVCVSOutput;\\n&quot;,&quot;    }\\n&quot;,&quot;  vec4 pos = VCPCMatrix * vertexVC;\\n&quot;,s]).result,i=vd.substitute(i,&quot;//VTK::Normal::Impl&quot;,&quot;&quot;).result,t.haveSeenDepthRequest&amp;&amp;(i=vd.substitute(i,&quot;//VTK::ZBuffer::Impl&quot;,[&quot;if (depthRequest == 1) {&quot;,&quot;float computedZ = (pos.z / pos.w + 1.0) / 2.0;&quot;,&quot;float iz = floor(computedZ * 65535.0 + 0.1);&quot;,&quot;float rf = floor(iz/256.0)/255.0;&quot;,&quot;float gf = mod(iz,256.0)/255.0;&quot;,&quot;gl_FragData[0] = vec4(rf, gf, 0.0, 1.0); }&quot;]).result),e.Vertex=a,e.Fragment=i,n.replaceShaderValues(e,r,o)},e.setMapperShaderParameters=(e,r,o)=&gt;{if(e.getCABO().getElementCount()&amp;&amp;(t.VBOBuildTime&gt;e.getAttributeUpdateTime().getMTime()||e.getShaderSourceTime().getMTime()&gt;e.getAttributeUpdateTime().getMTime())&amp;&amp;e.getProgram().isAttributeUsed(&quot;offsetMC&quot;)&amp;&amp;(e.getVAO().addAttributeArray(e.getProgram(),e.getCABO(),&quot;offsetMC&quot;,12,e.getCABO().getStride(),t.context.FLOAT,2,!1)||Qg(&quot;Error setting &#x27;offsetMC&#x27; in shader VAO.&quot;)),e.getProgram().isUniformUsed(&quot;invertedDepth&quot;)&amp;&amp;e.getProgram().setUniformf(&quot;invertedDepth&quot;,t.invert?-1:1),e.getProgram().isUniformUsed(&quot;scaleFactor&quot;)){const n=t.currentInput.getPointData();null!=t.renderable.getScaleArray()&amp;&amp;n.hasArray(t.renderable.getScaleArray())?e.getProgram().setUniformf(&quot;scaleFactor&quot;,t.renderable.getScaleFactor()):e.getProgram().setUniformf(&quot;scaleFactor&quot;,1)}n.setMapperShaderParameters(e,r,o)},e.setCameraShaderParameters=(e,n,r)=&gt;{const o=e.getProgram(),a=n.getActiveCamera(),i=t.openGLCamera.getKeyMatrices(n);o.isUniformUsed(&quot;VCPCMatrix&quot;)&amp;&amp;o.setUniformMatrix(&quot;VCPCMatrix&quot;,i.vcpc);const s=new Float64Array(16);if(o.isUniformUsed(&quot;MCVCMatrix&quot;))if(r.getIsIdentity())T(s,i.wcvc),e.getCABO().getCoordShiftAndScaleEnabled()&amp;&amp;A(s,s,e.getCABO().getInverseShiftAndScaleMatrix()),o.setUniformMatrix(&quot;MCVCMatrix&quot;,s);else{const n=t.openGLActor.getKeyMatrices();A(s,i.wcvc,n.mcwc),e.getCABO().getCoordShiftAndScaleEnabled()&amp;&amp;A(s,s,e.getCABO().getInverseShiftAndScaleMatrix()),o.setUniformMatrix(&quot;MCVCMatrix&quot;,s)}o.isUniformUsed(&quot;cameraParallel&quot;)&amp;&amp;e.getProgram().setUniformi(&quot;cameraParallel&quot;,a.getParallelProjection())},e.getOpenGLMode=(e,n)=&gt;t.context.TRIANGLES,e.buildBufferObjects=(e,n)=&gt;{const r=t.currentInput;if(null===r)return;t.renderable.mapScalars(r,1);const o=t.renderable.getColorMapColors(),a=t.primitives[t.primTypes.Tris].getCABO(),i=r.getPointData(),s=r.getPoints(),l=s.getNumberOfPoints(),c=s.getData();let u=null;null!=t.renderable.getScaleArray()&amp;&amp;i.hasArray(t.renderable.getScaleArray())&amp;&amp;(u=i.getArray(t.renderable.getScaleArray()).getData());let d=null,p=0,f=null;o?(p=o.getNumberOfComponents(),a.setColorOffset(0),a.setColorBOStride(4),d=o.getData(),f=new Uint8Array(3*l*4),a.getColorBO()||a.setColorBO(nd.newInstance()),a.getColorBO().setOpenGLRenderWindow(t._openGLRenderWindow)):a.getColorBO()&amp;&amp;a.setColorBO(null),a.setColorComponents(p);const g=new Float32Array(5*l*3);a.setStride(20);const m=Math.cos(wo(30));let h=0,v=0;const{useShiftAndScale:T,coordShift:x,coordScale:y}=rd(s);T&amp;&amp;a.setCoordShiftAndScale(x,y);let b=0,A=0;for(let e=0;e&lt;l;++e){let n=t.renderable.getRadius();u&amp;&amp;(n=u[e]),h=3*e;const r=(c[h++]-x[0])*y[0],o=(c[h++]-x[1])*y[1],a=(c[h++]-x[2])*y[2];g[b++]=r,g[b++]=o,g[b++]=a,g[b++]=-2*n*m,g[b++]=-n,d&amp;&amp;(v=e*p,f[A++]=d[v],f[A++]=d[v+1],f[A++]=d[v+2],f[A++]=d[v+3]),g[b++]=r,g[b++]=o,g[b++]=a,g[b++]=2*n*m,g[b++]=-n,d&amp;&amp;(f[A++]=d[v],f[A++]=d[v+1],f[A++]=d[v+2],f[A++]=d[v+3]),g[b++]=r,g[b++]=o,g[b++]=a,g[b++]=0,g[b++]=2*n,d&amp;&amp;(f[A++]=d[v],f[A++]=d[v+1],f[A++]=d[v+2],f[A++]=d[v+3])}a.setElementCount(b/5),a.upload(g,Zu.ARRAY_BUFFER),o&amp;&amp;a.getColorBO().upload(f,Zu.ARRAY_BUFFER),t.VBOBuildTime.modified()}}(e,t)}),&quot;vtkOpenGLSphereMapper&quot;);vn(&quot;vtkSphereMapper&quot;,em);const{vtkErrorMacro:tm}=ln;const nm={};const rm=Xt((function(e,t,n={}){Object.assign(t,nm,n),up.extend(e,t,n),function(e,t){t.classHierarchy.push(&quot;vtkOpenGLStickMapper&quot;);const n={...e};e.getShaderTemplate=(e,t,n)=&gt;{e.Vertex=&quot;//VTK::System::Dec\\n\\n/*=========================================================================\\n\\n  Program:   Visualization Toolkit\\n  Module:    vtkStickMapperVS.glsl\\n\\n  Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen\\n  All rights reserved.\\n  See Copyright.txt or http://www.kitware.com/Copyright.htm for details.\\n\\n     This software is distributed WITHOUT ANY WARRANTY; without even\\n     the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR\\n     PURPOSE.  See the above copyright notice for more information.\\n\\n=========================================================================*/\\n// this shader implements imposters in OpenGL for Sticks\\n\\nattribute vec4 vertexMC;\\nattribute vec3 orientMC;\\nattribute vec4 offsetMC;\\nattribute float radiusMC;\\n\\n// optional normal declaration\\n//VTK::Normal::Dec\\n\\n//VTK::Picking::Dec\\n\\n// Texture coordinates\\n//VTK::TCoord::Dec\\n\\nuniform mat3 normalMatrix; // transform model coordinate directions to view coordinates\\n\\n// material property values\\n//VTK::Color::Dec\\n\\n// clipping plane vars\\n//VTK::Clip::Dec\\n\\n// camera and actor matrix values\\n//VTK::Camera::Dec\\n\\nvarying vec4 vertexVCVSOutput;\\nvarying float radiusVCVSOutput;\\nvarying float lengthVCVSOutput;\\nvarying vec3 centerVCVSOutput;\\nvarying vec3 orientVCVSOutput;\\n\\nuniform int cameraParallel;\\n\\nvoid main()\\n{\\n  //VTK::Picking::Impl\\n\\n  //VTK::Color::Impl\\n\\n  //VTK::Normal::Impl\\n\\n  //VTK::TCoord::Impl\\n\\n  //VTK::Clip::Impl\\n\\n  vertexVCVSOutput = MCVCMatrix * vertexMC;\\n  centerVCVSOutput = vertexVCVSOutput.xyz;\\n  radiusVCVSOutput = radiusMC;\\n  lengthVCVSOutput = length(orientMC);\\n  orientVCVSOutput = normalMatrix * normalize(orientMC);\\n\\n  // make sure it is pointing out of the screen\\n  if (orientVCVSOutput.z &lt; 0.0)\\n    {\\n    orientVCVSOutput = -orientVCVSOutput;\\n    }\\n\\n  // make the basis\\n  vec3 xbase;\\n  vec3 ybase;\\n  vec3 dir = vec3(0.0,0.0,1.0);\\n  if (cameraParallel == 0)\\n    {\\n    dir = normalize(-vertexVCVSOutput.xyz);\\n    }\\n  if (abs(dot(dir,orientVCVSOutput)) == 1.0)\\n    {\\n    xbase = normalize(cross(vec3(0.0,1.0,0.0),orientVCVSOutput));\\n    ybase = cross(xbase,orientVCVSOutput);\\n    }\\n  else\\n    {\\n    xbase = normalize(cross(orientVCVSOutput,dir));\\n    ybase = cross(orientVCVSOutput,xbase);\\n    }\\n\\n  vec3 offsets = offsetMC.xyz*2.0-1.0;\\n  vertexVCVSOutput.xyz = vertexVCVSOutput.xyz +\\n    radiusVCVSOutput*offsets.x*xbase +\\n    radiusVCVSOutput*offsets.y*ybase +\\n    0.5*lengthVCVSOutput*offsets.z*orientVCVSOutput;\\n\\n  gl_Position = VCPCMatrix * vertexVCVSOutput;\\n}\\n&quot;,e.Fragment=Xd,e.Geometry=&quot;&quot;},e.replaceShaderValues=(e,r,o)=&gt;{let a=e.Vertex,i=e.Fragment;a=vd.substitute(a,&quot;//VTK::Camera::Dec&quot;,[&quot;uniform mat4 VCPCMatrix;\\n&quot;,&quot;uniform mat4 MCVCMatrix;&quot;]).result,i=vd.substitute(i,&quot;//VTK::PositionVC::Dec&quot;,&quot;varying vec4 vertexVCVSOutput;&quot;).result,i=vd.substitute(i,&quot;//VTK::PositionVC::Impl&quot;,&quot;  vec4 vertexVC = vertexVCVSOutput;\\n&quot;).result,i=vd.substitute(i,&quot;//VTK::Normal::Dec&quot;,[&quot;uniform int cameraParallel;\\n&quot;,&quot;varying float radiusVCVSOutput;\\n&quot;,&quot;varying vec3 orientVCVSOutput;\\n&quot;,&quot;varying float lengthVCVSOutput;\\n&quot;,&quot;varying vec3 centerVCVSOutput;\\n&quot;,&quot;uniform mat4 VCPCMatrix;\\n&quot;]).result;let s=&quot;&quot;;t.context.getExtension(&quot;EXT_frag_depth&quot;)&amp;&amp;(s=&quot;  gl_FragDepthEXT = (pos.z / pos.w + 1.0) / 2.0;\\n&quot;),t._openGLRenderWindow.getWebgl2()&amp;&amp;(s=&quot;gl_FragDepth = (pos.z / pos.w + 1.0) / 2.0;\\n&quot;),i=vd.substitute(i,&quot;//VTK::Depth::Impl&quot;,[&quot;  vec3 EyePos;\\n&quot;,&quot;  vec3 EyeDir;\\n&quot;,&quot;  if (cameraParallel != 0) {\\n&quot;,&quot;    EyePos = vec3(vertexVC.x, vertexVC.y, vertexVC.z + 3.0*radiusVCVSOutput);\\n&quot;,&quot;    EyeDir = vec3(0.0,0.0,-1.0); }\\n&quot;,&quot;  else {\\n&quot;,&quot;    EyeDir = vertexVC.xyz;\\n&quot;,&quot;    EyePos = vec3(0.0,0.0,0.0);\\n&quot;,&quot;    float lengthED = length(EyeDir);\\n&quot;,&quot;    EyeDir = normalize(EyeDir);\\n&quot;,&quot;    if (lengthED &gt; radiusVCVSOutput*3.0) {\\n&quot;,&quot;      EyePos = vertexVC.xyz - EyeDir*3.0*radiusVCVSOutput; }\\n&quot;,&quot;    }\\n&quot;,&quot;  EyePos = EyePos - centerVCVSOutput;\\n&quot;,&quot;  vec3 base1;\\n&quot;,&quot;  if (abs(orientVCVSOutput.z) &lt; 0.99) {\\n&quot;,&quot;    base1 = normalize(cross(orientVCVSOutput,vec3(0.0,0.0,1.0))); }\\n&quot;,&quot;  else {\\n&quot;,&quot;    base1 = normalize(cross(orientVCVSOutput,vec3(0.0,1.0,0.0))); }\\n&quot;,&quot;  vec3 base2 = cross(orientVCVSOutput,base1);\\n&quot;,&quot;  EyePos = vec3(dot(EyePos,base1),dot(EyePos,base2),dot(EyePos,orientVCVSOutput));\\n&quot;,&quot;  EyeDir = vec3(dot(EyeDir,base1),dot(EyeDir,base2),dot(EyeDir,orientVCVSOutput));\\n&quot;,&quot;  EyePos = EyePos/radiusVCVSOutput;\\n&quot;,&quot;  float a = EyeDir.x*EyeDir.x + EyeDir.y*EyeDir.y;\\n&quot;,&quot;  float b = 2.0*(EyePos.x*EyeDir.x + EyePos.y*EyeDir.y);\\n&quot;,&quot;  float c = EyePos.x*EyePos.x + EyePos.y*EyePos.y - 1.0;\\n&quot;,&quot;  float d = b*b - 4.0*a*c;\\n&quot;,&quot;  vec3 normalVCVSOutput = vec3(0.0,0.0,1.0);\\n&quot;,&quot;  if (d &lt; 0.0) { discard; }\\n&quot;,&quot;  else {\\n&quot;,&quot;    float t =  (-b - sqrt(d))/(2.0*a);\\n&quot;,&quot;    float tz = EyePos.z + t*EyeDir.z;\\n&quot;,&quot;    vec3 iPoint = EyePos + t*EyeDir;\\n&quot;,&quot;    if (abs(iPoint.z)*radiusVCVSOutput &gt; lengthVCVSOutput*0.5) {\\n&quot;,&quot;      float t2 = (-b + sqrt(d))/(2.0*a);\\n&quot;,&quot;      float tz2 = EyePos.z + t2*EyeDir.z;\\n&quot;,&quot;      if (tz2*radiusVCVSOutput &gt; lengthVCVSOutput*0.5 || tz*radiusVCVSOutput &lt; -0.5*lengthVCVSOutput) { discard; }\\n&quot;,&quot;      else {\\n&quot;,&quot;        normalVCVSOutput = orientVCVSOutput;\\n&quot;,&quot;        float t3 = (lengthVCVSOutput*0.5/radiusVCVSOutput - EyePos.z)/EyeDir.z;\\n&quot;,&quot;        iPoint = EyePos + t3*EyeDir;\\n&quot;,&quot;        vertexVC.xyz = radiusVCVSOutput*(iPoint.x*base1 + iPoint.y*base2 + iPoint.z*orientVCVSOutput) + centerVCVSOutput;\\n&quot;,&quot;        }\\n&quot;,&quot;      }\\n&quot;,&quot;    else {\\n&quot;,&quot;      normalVCVSOutput = iPoint.x*base1 + iPoint.y*base2;\\n&quot;,&quot;      vertexVC.xyz = radiusVCVSOutput*(normalVCVSOutput + iPoint.z*orientVCVSOutput) + centerVCVSOutput;\\n&quot;,&quot;      }\\n&quot;,&quot;    }\\n&quot;,&quot;  vec4 pos = VCPCMatrix * vertexVC;\\n&quot;,s]).result,i=vd.substitute(i,&quot;//VTK::Normal::Impl&quot;,&quot;&quot;).result,t.haveSeenDepthRequest&amp;&amp;(i=vd.substitute(i,&quot;//VTK::ZBuffer::Impl&quot;,[&quot;if (depthRequest == 1) {&quot;,&quot;float computedZ = (pos.z / pos.w + 1.0) / 2.0;&quot;,&quot;float iz = floor(computedZ * 65535.0 + 0.1);&quot;,&quot;float rf = floor(iz/256.0)/255.0;&quot;,&quot;float gf = mod(iz,256.0)/255.0;&quot;,&quot;gl_FragData[0] = vec4(rf, gf, 0.0, 1.0); }&quot;]).result),e.Vertex=a,e.Fragment=i,n.replaceShaderValues(e,r,o)},e.setMapperShaderParameters=(e,r,o)=&gt;{e.getCABO().getElementCount()&amp;&amp;(t.VBOBuildTime&gt;e.getAttributeUpdateTime().getMTime()||e.getShaderSourceTime().getMTime()&gt;e.getAttributeUpdateTime().getMTime())&amp;&amp;(e.getProgram().isAttributeUsed(&quot;orientMC&quot;)&amp;&amp;(e.getVAO().addAttributeArray(e.getProgram(),e.getCABO(),&quot;orientMC&quot;,12,e.getCABO().getStride(),t.context.FLOAT,3,!1)||tm(&quot;Error setting &#x27;orientMC&#x27; in shader VAO.&quot;)),e.getProgram().isAttributeUsed(&quot;offsetMC&quot;)&amp;&amp;(e.getVAO().addAttributeArray(e.getProgram(),e.getCABO().getColorBO(),&quot;offsetMC&quot;,0,e.getCABO().getColorBOStride(),t.context.UNSIGNED_BYTE,3,!0)||tm(&quot;Error setting &#x27;offsetMC&#x27; in shader VAO.&quot;)),e.getProgram().isAttributeUsed(&quot;radiusMC&quot;)&amp;&amp;(e.getVAO().addAttributeArray(e.getProgram(),e.getCABO(),&quot;radiusMC&quot;,24,e.getCABO().getStride(),t.context.FLOAT,1,!1)||tm(&quot;Error setting &#x27;radiusMC&#x27; in shader VAO.&quot;))),n.setMapperShaderParameters(e,r,o)},e.setCameraShaderParameters=(e,n,r)=&gt;{const o=e.getProgram(),a=n.getActiveCamera(),i=t.openGLCamera.getKeyMatrices(n);if(o.isUniformUsed(&quot;VCPCMatrix&quot;)&amp;&amp;o.setUniformMatrix(&quot;VCPCMatrix&quot;,i.vcpc),r.getIsIdentity())o.isUniformUsed(&quot;MCVCMatrix&quot;)&amp;&amp;o.setUniformMatrix(&quot;MCVCMatrix&quot;,i.wcvc),o.isUniformUsed(&quot;normalMatrix&quot;)&amp;&amp;o.setUniformMatrix3x3(&quot;normalMatrix&quot;,i.normalMatrix);else{const e=t.openGLActor.getKeyMatrices();if(o.isUniformUsed(&quot;MCVCMatrix&quot;)){const t=new Float64Array(16);A(t,i.wcvc,e.mcwc),o.setUniformMatrix(&quot;MCVCMatrix&quot;,t)}if(o.isUniformUsed(&quot;normalMatrix&quot;)){const t=new Float64Array(9);p(t,i.normalMatrix,e.normalMatrix),o.setUniformMatrix3x3(&quot;normalMatrix&quot;,t)}}o.isUniformUsed(&quot;cameraParallel&quot;)&amp;&amp;e.getProgram().setUniformi(&quot;cameraParallel&quot;,a.getParallelProjection())},e.getOpenGLMode=(e,n)=&gt;t.context.TRIANGLES,e.buildBufferObjects=(e,n)=&gt;{const r=t.currentInput;if(null===r)return;t.renderable.mapScalars(r,1);const o=t.renderable.getColorMapColors(),a=t.primitives[t.primTypes.Tris].getCABO(),i=r.getPointData(),s=r.getPoints(),l=s.getNumberOfPoints(),c=s.getData();let u=3;u+=4;let d=null,p=0;a.setColorBOStride(4),a.getColorBO()||a.setColorBO(nd.newInstance()),a.getColorBO().setOpenGLRenderWindow(t._openGLRenderWindow),o&amp;&amp;(p=o.getNumberOfComponents(),a.setColorOffset(4),d=o.getData(),a.setColorBOStride(8)),a.setColorComponents(p),a.setStride(28);const f=new Float32Array(7*l*12),g=new Uint8Array(12*l*(d?8:4));let m=null,h=null;null!=t.renderable.getScaleArray()&amp;&amp;i.hasArray(t.renderable.getScaleArray())&amp;&amp;(m=i.getArray(t.renderable.getScaleArray()).getData()),null!=t.renderable.getOrientationArray()&amp;&amp;i.hasArray(t.renderable.getOrientationArray())?h=i.getArray(t.renderable.getOrientationArray()).getData():tm([&quot;Error setting orientationArray.\\n&quot;,&quot;You have to specify the stick orientation&quot;]);const v=[0,1,3,0,3,2,2,3,5,2,5,4];let T=0,x=0,y=0,b=0;for(let e=0;e&lt;l;++e){let n=t.renderable.getLength(),r=t.renderable.getRadius();m&amp;&amp;(n=m[2*e],r=m[2*e+1]);for(let t=0;t&lt;v.length;++t)T=3*e,f[y++]=c[T++],f[y++]=c[T++],f[y++]=c[T++],T=3*e,f[y++]=h[T++]*n,f[y++]=h[T++]*n,f[y++]=h[T++]*n,f[y++]=r,g[b++]=v[t]%2*255,g[b++]=v[t]&gt;=4?255:0,g[b++]=v[t]&gt;=2?255:0,g[b++]=255,x=e*p,d&amp;&amp;(g[b++]=d[x],g[b++]=d[x+1],g[b++]=d[x+2],g[b++]=d[x+3])}a.setElementCount(y/7),a.upload(f,Zu.ARRAY_BUFFER),a.getColorBO().upload(g,Zu.ARRAY_BUFFER),t.VBOBuildTime.modified()}}(e,t)}),&quot;vtkOpenGLStickMapper&quot;);vn(&quot;vtkStickMapper&quot;,rm);const om=[];om[&quot;-&quot;.charCodeAt(0)]=62,om[&quot;_&quot;.charCodeAt(0)]=63;const am=&quot;ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/&quot;;for(let e=0;e&lt;64;e++)om[am.charCodeAt(e)]=e;function im(e){return void 0!==om[e.charCodeAt(0)]}function sm(e,t,n,r){const{start:o,count:a}=t,i=a%4,s=Math.floor(a/4);let l=o,c=null,u=n;for(let t=0;t&lt;s;t++){for(;!im(e[l]);)l++;for(c=om[e.charCodeAt(l++)]&lt;&lt;18;!im(e[l]);)l++;for(c|=om[e.charCodeAt(l++)]&lt;&lt;12;!im(e[l]);)l++;for(c|=om[e.charCodeAt(l++)]&lt;&lt;6;!im(e[l]);)l++;c|=om[e.charCodeAt(l++)],r[u++]=c&gt;&gt;16&amp;255,r[u++]=c&gt;&gt;8&amp;255,r[u++]=255&amp;c}switch(i){case 3:for(;!im(e[l]);)l++;for(c=om[e.charCodeAt(l++)]&lt;&lt;10;!im(e[l]);)l++;for(c|=om[e.charCodeAt(l++)]&lt;&lt;4;!im(e[l]);)l++;c|=om[e.charCodeAt(l++)]&gt;&gt;2,r[u++]=c&gt;&gt;8&amp;255,r[u++]=255&amp;c;break;case 2:for(;!im(e[l]);)l++;for(c=om[e.charCodeAt(l++)]&lt;&lt;2;!im(e[l]);)l++;c|=om[e.charCodeAt(l++)]&gt;&gt;4,r[u++]=255&amp;c;break;case 1:throw new Error(&quot;BASE64: remain 1 should not happen&quot;)}return u}function lm(e,t,n){const r=(e&lt;&lt;16)+(t&lt;&lt;8)+n;return am[r&gt;&gt;18]+am[r&gt;&gt;12&amp;63]+am[r&gt;&gt;6&amp;63]+am[63&amp;r]}function cm(e){const t=new Uint8Array(e),n=e.byteLength%3,r=e.byteLength-n,o=Array(r/3);for(let e=0;e&lt;o.length;e++){const n=3*e;o[e]=lm(t[n],t[n+1],t[n+2])}if(n&gt;0){const e=lm(t[r],t[r+1]||0,t[r+2]||0);1===n?o.push(`${e.substr(0,2)}==`):2===n&amp;&amp;o.push(`${e.substr(0,3)}=`)}return o.join(&quot;&quot;)}var um={toArrayBuffer:function(e){const t=function(e){const t=e.length,n=[];let r=null;for(let o=0;o&lt;t;o++)im(e[o])?(r||(r={start:o,count:0}),r.count++,r.end=o):&quot;=&quot;===e[o]&amp;&amp;r&amp;&amp;(n.push(r),r=null);return r&amp;&amp;n.push(r),n}(e),n=t[t.length-1].end+1,r=(4-n%4)%4,o=new ArrayBuffer(3*(n+r)/4-r),a=new Uint8Array(o);let i=0;for(let n=0;n&lt;t.length;n++)i+=sm(e,t[n],i,a),i+=(4-t[n].count%4)%4;return o},fromArrayBuffer:cm};const dm={};function pm(e,t){dm[e]=t}var fm={get:function(e=&quot;http&quot;,t={}){return dm[e](t)},has:function(e){return!!dm[e]},registerType:pm},gm=Uint8Array,mm=Uint16Array,hm=Uint32Array,vm=new gm([0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0,0,0,0]),Tm=new gm([0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13,0,0]),xm=new gm([16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15]),ym=function(e,t){for(var n=new mm(31),r=0;r&lt;31;++r)n[r]=t+=1&lt;&lt;e[r-1];var o=new hm(n[30]);for(r=1;r&lt;30;++r)for(var a=n[r];a&lt;n[r+1];++a)o[a]=a-n[r]&lt;&lt;5|r;return[n,o]},bm=ym(vm,2),Am=bm[0],Cm=bm[1];Am[28]=258,Cm[258]=28;for(var Sm=ym(Tm,0)[0],Pm=new mm(32768),wm=0;wm&lt;32768;++wm){var Im=(43690&amp;wm)&gt;&gt;&gt;1|(21845&amp;wm)&lt;&lt;1;Im=(61680&amp;(Im=(52428&amp;Im)&gt;&gt;&gt;2|(13107&amp;Im)&lt;&lt;2))&gt;&gt;&gt;4|(3855&amp;Im)&lt;&lt;4,Pm[wm]=((65280&amp;Im)&gt;&gt;&gt;8|(255&amp;Im)&lt;&lt;8)&gt;&gt;&gt;1}var Om=function(e,t,n){for(var r=e.length,o=0,a=new mm(t);o&lt;r;++o)e[o]&amp;&amp;++a[e[o]-1];var i,s=new mm(t);for(o=0;o&lt;t;++o)s[o]=s[o-1]+a[o-1]&lt;&lt;1;if(n){i=new mm(1&lt;&lt;t);var l=15-t;for(o=0;o&lt;r;++o)if(e[o])for(var c=o&lt;&lt;4|e[o],u=t-e[o],d=s[e[o]-1]++&lt;&lt;u,p=d|(1&lt;&lt;u)-1;d&lt;=p;++d)i[Pm[d]&gt;&gt;&gt;l]=c}else for(i=new mm(r),o=0;o&lt;r;++o)e[o]&amp;&amp;(i[o]=Pm[s[e[o]-1]++]&gt;&gt;&gt;15-e[o]);return i},Rm=new gm(288);for(wm=0;wm&lt;144;++wm)Rm[wm]=8;for(wm=144;wm&lt;256;++wm)Rm[wm]=9;for(wm=256;wm&lt;280;++wm)Rm[wm]=7;for(wm=280;wm&lt;288;++wm)Rm[wm]=8;var Mm=new gm(32);for(wm=0;wm&lt;32;++wm)Mm[wm]=5;var Dm=Om(Rm,9,1),Em=Om(Mm,5,1),Vm=function(e){for(var t=e[0],n=1;n&lt;e.length;++n)e[n]&gt;t&amp;&amp;(t=e[n]);return t},Lm=function(e,t,n){var r=t/8|0;return(e[r]|e[r+1]&lt;&lt;8)&gt;&gt;(7&amp;t)&amp;n},Bm=function(e,t){var n=t/8|0;return(e[n]|e[n+1]&lt;&lt;8|e[n+2]&lt;&lt;16)&gt;&gt;(7&amp;t)},Fm=function(e,t,n){(null==t||t&lt;0)&amp;&amp;(t=0),(null==n||n&gt;e.length)&amp;&amp;(n=e.length);var r=new(2==e.BYTES_PER_ELEMENT?mm:4==e.BYTES_PER_ELEMENT?hm:gm)(n-t);return r.set(e.subarray(t,n)),r},Nm=[&quot;unexpected EOF&quot;,&quot;invalid block type&quot;,&quot;invalid length/literal&quot;,&quot;invalid distance&quot;,&quot;stream finished&quot;,&quot;no stream handler&quot;,,&quot;no callback&quot;,&quot;invalid UTF-8 data&quot;,&quot;extra field too long&quot;,&quot;date not in range 1980-2099&quot;,&quot;filename too long&quot;,&quot;stream finishing&quot;,&quot;invalid zip data&quot;],km=function(e,t,n){var r=new Error(t||Nm[e]);if(r.code=e,Error.captureStackTrace&amp;&amp;Error.captureStackTrace(r,km),!n)throw r;return r},Gm=function(e,t,n){var r=e.length;if(!r||n&amp;&amp;n.f&amp;&amp;!n.l)return t||new gm(0);var o=!t||n,a=!n||n.i;n||(n={}),t||(t=new gm(3*r));var i=function(e){var n=t.length;if(e&gt;n){var r=new gm(Math.max(2*n,e));r.set(t),t=r}},s=n.f||0,l=n.p||0,c=n.b||0,u=n.l,d=n.d,p=n.m,f=n.n,g=8*r;do{if(!u){s=Lm(e,l,1);var m=Lm(e,l+1,3);if(l+=3,!m){var h=e[(I=4+((l+7)/8|0))-4]|e[I-3]&lt;&lt;8,v=I+h;if(v&gt;r){a&amp;&amp;km(0);break}o&amp;&amp;i(c+h),t.set(e.subarray(I,v),c),n.b=c+=h,n.p=l=8*v,n.f=s;continue}if(1==m)u=Dm,d=Em,p=9,f=5;else if(2==m){var T=Lm(e,l,31)+257,x=Lm(e,l+10,15)+4,y=T+Lm(e,l+5,31)+1;l+=14;for(var b=new gm(y),A=new gm(19),C=0;C&lt;x;++C)A[xm[C]]=Lm(e,l+3*C,7);l+=3*x;var S=Vm(A),P=(1&lt;&lt;S)-1,w=Om(A,S,1);for(C=0;C&lt;y;){var I,O=w[Lm(e,l,P)];if(l+=15&amp;O,(I=O&gt;&gt;&gt;4)&lt;16)b[C++]=I;else{var R=0,M=0;for(16==I?(M=3+Lm(e,l,3),l+=2,R=b[C-1]):17==I?(M=3+Lm(e,l,7),l+=3):18==I&amp;&amp;(M=11+Lm(e,l,127),l+=7);M--;)b[C++]=R}}var D=b.subarray(0,T),E=b.subarray(T);p=Vm(D),f=Vm(E),u=Om(D,p,1),d=Om(E,f,1)}else km(1);if(l&gt;g){a&amp;&amp;km(0);break}}o&amp;&amp;i(c+131072);for(var V=(1&lt;&lt;p)-1,L=(1&lt;&lt;f)-1,B=l;;B=l){var F=(R=u[Bm(e,l)&amp;V])&gt;&gt;&gt;4;if((l+=15&amp;R)&gt;g){a&amp;&amp;km(0);break}if(R||km(2),F&lt;256)t[c++]=F;else{if(256==F){B=l,u=null;break}var N=F-254;if(F&gt;264){var k=vm[C=F-257];N=Lm(e,l,(1&lt;&lt;k)-1)+Am[C],l+=k}var G=d[Bm(e,l)&amp;L],U=G&gt;&gt;&gt;4;G||km(3),l+=15&amp;G;E=Sm[U];if(U&gt;3){k=Tm[U];E+=Bm(e,l)&amp;(1&lt;&lt;k)-1,l+=k}if(l&gt;g){a&amp;&amp;km(0);break}o&amp;&amp;i(c+131072);for(var _=c+N;c&lt;_;c+=4)t[c]=t[c-E],t[c+1]=t[c+1-E],t[c+2]=t[c+2-E],t[c+3]=t[c+3-E];c=_}}n.l=u,n.p=B,n.b=c,n.f=s,u&amp;&amp;(s=1,n.m=p,n.d=d,n.n=f)}while(!s);return c==t.length?t:Fm(t,0,c)},Um=new gm(0),_m=function(e,t){return e[t]|e[t+1]&lt;&lt;8},Km=function(e,t){return(e[t]|e[t+1]&lt;&lt;8|e[t+2]&lt;&lt;16|e[t+3]&lt;&lt;24)&gt;&gt;&gt;0},zm=function(e,t){return Km(e,t)+4294967296*Km(e,t+4)};function Wm(e,t){return Gm(e,t)}function Hm(e,t){return Gm(e.subarray(function(e){31==e[0]&amp;&amp;139==e[1]&amp;&amp;8==e[2]||km(6,&quot;invalid gzip data&quot;);var t=e[3],n=10;4&amp;t&amp;&amp;(n+=e[10]|2+(e[11]&lt;&lt;8));for(var r=(t&gt;&gt;3&amp;1)+(t&gt;&gt;4&amp;1);r&gt;0;r-=!e[n++]);return n+(2&amp;t)}(e),-8),t||new gm((r=(n=e).length,(n[r-4]|n[r-3]&lt;&lt;8|n[r-2]&lt;&lt;16|n[r-1]&lt;&lt;24)&gt;&gt;&gt;0)));var n,r}function jm(e,t){return Gm(((8!=(15&amp;(n=e)[0])||n[0]&gt;&gt;&gt;4&gt;7||(n[0]&lt;&lt;8|n[1])%31)&amp;&amp;km(6,&quot;invalid zlib data&quot;),32&amp;n[1]&amp;&amp;km(6,&quot;invalid zlib data: preset dictionaries not supported&quot;),e.subarray(2,-4)),t);var n}function Xm(e,t){return 31==e[0]&amp;&amp;139==e[1]&amp;&amp;8==e[2]?Hm(e,t):8!=(15&amp;e[0])||e[0]&gt;&gt;4&gt;7||(e[0]&lt;&lt;8|e[1])%31?Wm(e,t):jm(e,t)}var qm=&quot;undefined&quot;!=typeof TextEncoder&amp;&amp;new TextEncoder,Ym=&quot;undefined&quot;!=typeof TextDecoder&amp;&amp;new TextDecoder;try{Ym.decode(Um,{stream:!0})}catch(e){}function Jm(e,t){if(t){for(var n=&quot;&quot;,r=0;r&lt;e.length;r+=16384)n+=String.fromCharCode.apply(null,e.subarray(r,r+16384));return n}if(Ym)return Ym.decode(e);var o=function(e){for(var t=&quot;&quot;,n=0;;){var r=e[n++],o=(r&gt;127)+(r&gt;223)+(r&gt;239);if(n+o&gt;e.length)return[t,Fm(e,n-1)];o?3==o?(r=((15&amp;r)&lt;&lt;18|(63&amp;e[n++])&lt;&lt;12|(63&amp;e[n++])&lt;&lt;6|63&amp;e[n++])-65536,t+=String.fromCharCode(55296|r&gt;&gt;10,56320|1023&amp;r)):t+=1&amp;o?String.fromCharCode((31&amp;r)&lt;&lt;6|63&amp;e[n++]):String.fromCharCode((15&amp;r)&lt;&lt;12|(63&amp;e[n++])&lt;&lt;6|63&amp;e[n++]):t+=String.fromCharCode(r)}}(e),a=o[0];return o[1].length&amp;&amp;km(8),a}var Zm=function(e,t){return t+30+_m(e,t+26)+_m(e,t+28)},Qm=function(e,t,n){var r=_m(e,t+28),o=Jm(e.subarray(t+46,t+46+r),!(2048&amp;_m(e,t+8))),a=t+46+r,i=Km(e,t+20),s=n&amp;&amp;4294967295==i?$m(e,a):[i,Km(e,t+24),Km(e,t+42)],l=s[0],c=s[1],u=s[2];return[_m(e,t+10),l,c,o,a+_m(e,t+30)+_m(e,t+32),u]},$m=function(e,t){for(;1!=_m(e,t);t+=4+_m(e,t+2));return[zm(e,t+12),zm(e,t+4),zm(e,t+20)]};function eh(e,t){for(var n={},r=e.length-22;101010256!=Km(e,r);--r)(!r||e.length-r&gt;65558)&amp;&amp;km(13);var o=_m(e,r+8);if(!o)return{};var a=Km(e,r+16),i=4294967295==a;i&amp;&amp;(r=Km(e,r-12),101075792!=Km(e,r)&amp;&amp;km(13),o=Km(e,r+32),a=Km(e,r+48));for(var s=t&amp;&amp;t.filter,l=0;l&lt;o;++l){var c=Qm(e,a,i),u=c[0],d=c[1],p=c[2],f=c[3],g=c[4],m=c[5],h=Zm(e,m);a=g,s&amp;&amp;!s({name:f,size:d,originalSize:p,compression:u})||(u?8==u?n[f]=Wm(e.subarray(h,h+d),new gm(p)):km(14,&quot;unknown compression type &quot;+u):n[f]=Fm(e,h,h+d))}return n}function th(){const e=new ArrayBuffer(4),t=new Uint8Array(e),n=new Uint32Array(e);return t[0]=161,t[1]=178,t[2]=195,t[3]=212,3569595041===n[0]?&quot;LittleEndian&quot;:2712847316===n[0]?&quot;BigEndian&quot;:null}var nh={ENDIANNESS:th(),getEndianness:th,swapBytes:function(e,t){if(t&lt;2)return;const n=new Int8Array(e),r=n.length,o=[];for(let e=0;e&lt;r;e+=t){for(let r=0;r&lt;t;r++)o.push(n[e+r]);for(let r=0;r&lt;t;r++)n[e+r]=o.pop()}}};const{vtkErrorMacro:rh,vtkDebugMacro:oh}=sn;let ah=0;function ih(e,t,n={}){const r=new XMLHttpRequest;return r.open(e,t,!0),n.headers&amp;&amp;Object.entries(n.headers).forEach((([e,t])=&gt;r.setRequestHeader(e,t))),n.progressCallback&amp;&amp;r.addEventListener(&quot;progress&quot;,n.progressCallback),r}const sh={fetchArray:function(e,t,n,r={}){return n.ref&amp;&amp;!n.ref.pending?new Promise(((o,a)=&gt;{let i=null;i=n.ref.url?n.ref.url:[t,n.ref.basepath,r.compression?`${n.ref.id}.gz`:n.ref.id].join(&quot;/&quot;);const s=ih(&quot;GET&quot;,i,r);s.onreadystatechange=t=&gt;{1===s.readyState&amp;&amp;(n.ref.pending=!0,1==++ah&amp;&amp;e?.invokeBusy&amp;&amp;e.invokeBusy(!0)),4===s.readyState&amp;&amp;(n.ref.pending=!1,200===s.status||0===s.status?(n.buffer=s.response,r.compression&amp;&amp;(&quot;string&quot;===n.dataType||&quot;JSON&quot;===n.dataType?n.buffer=Jm(Xm(new Uint8Array(n.buffer))):n.buffer=Xm(new Uint8Array(n.buffer)).buffer),&quot;JSON&quot;===n.ref.encode?n.values=JSON.parse(n.buffer):(nh.ENDIANNESS!==n.ref.encode&amp;&amp;nh.ENDIANNESS&amp;&amp;(oh(`Swap bytes of ${n.name}`),nh.swapBytes(n.buffer,gs[n.dataType])),n.values=sn.newTypedArray(n.dataType,n.buffer)),n.values.length!==n.size&amp;&amp;rh(`Error in FetchArray: ${n.name}, does not have the proper array size. Got ${n.values.length}, instead of ${n.size}`),delete n.ref,0==--ah&amp;&amp;e?.invokeBusy&amp;&amp;e.invokeBusy(!1),e?.modified&amp;&amp;e.modified(),o(n)):a({xhr:s,e:t}))},s.responseType=r.compression||&quot;string&quot;!==n.dataType?&quot;arraybuffer&quot;:&quot;text&quot;,s.send()})):Promise.resolve(n)},fetchJSON:function(e,t,n={}){return new Promise(((r,o)=&gt;{const a=ih(&quot;GET&quot;,t,n);a.onreadystatechange=t=&gt;{1===a.readyState&amp;&amp;1==++ah&amp;&amp;e?.invokeBusy&amp;&amp;e.invokeBusy(!0),4===a.readyState&amp;&amp;(0==--ah&amp;&amp;e?.invokeBusy&amp;&amp;e.invokeBusy(!1),200===a.status||0===a.status?n.compression?r(JSON.parse(Jm(Xm(new Uint8Array(a.response))))):r(JSON.parse(a.responseText)):o({xhr:a,e:t}))},a.responseType=n.compression?&quot;arraybuffer&quot;:&quot;text&quot;,a.send()}))},fetchText:function(e,t,n={}){return n&amp;&amp;n.compression&amp;&amp;&quot;gz&quot;!==n.compression&amp;&amp;(rh(&quot;Supported algorithms are: [gz]&quot;),rh(`Unkown compression algorithm: ${n.compression}`)),new Promise(((r,o)=&gt;{const a=ih(&quot;GET&quot;,t,n);a.onreadystatechange=t=&gt;{1===a.readyState&amp;&amp;1==++ah&amp;&amp;e?.invokeBusy&amp;&amp;e.invokeBusy(!0),4===a.readyState&amp;&amp;(0==--ah&amp;&amp;e?.invokeBusy&amp;&amp;e.invokeBusy(!1),200===a.status||0===a.status?n.compression?r(Jm(Xm(new Uint8Array(a.response)))):r(a.responseText):o({xhr:a,e:t}))},a.responseType=n.compression?&quot;arraybuffer&quot;:&quot;text&quot;,a.send()}))},fetchBinary:function(e,t={}){return t&amp;&amp;t.compression&amp;&amp;&quot;gz&quot;!==t.compression&amp;&amp;(rh(&quot;Supported algorithms are: [gz]&quot;),rh(`Unkown compression algorithm: ${t.compression}`)),new Promise(((n,r)=&gt;{const o=ih(&quot;GET&quot;,e,t);o.onreadystatechange=e=&gt;{4===o.readyState&amp;&amp;(200===o.status||0===o.status?t.compression?n(Xm(new Uint8Array(o.response)).buffer):n(o.response):r({xhr:o,e:e}))},o.responseType=&quot;arraybuffer&quot;,o.send()}))},fetchImage:function(e,t,n={}){return new Promise(((e,r)=&gt;{const o=new Image;n.crossOrigin&amp;&amp;(o.crossOrigin=n.crossOrigin),o.onload=()=&gt;e(o),o.onerror=r,o.src=t}))}};pm(&quot;http&quot;,(e=&gt;sh));const{vtkDebugMacro:lh}=sn;const ch={position:[0,0,1],focalPoint:[0,0,0],viewUp:[0,1,0],directionOfProjection:[0,0,-1],parallelProjection:!1,useHorizontalViewAngle:!1,viewAngle:30,parallelScale:1,clippingRange:[.01,1000.01],windowCenter:[0,0],viewPlaneNormal:[0,0,1],useOffAxisProjection:!1,screenBottomLeft:[-.5,-.5,-.5],screenBottomRight:[.5,-.5,-.5],screenTopRight:[.5,.5,-.5],freezeFocalPoint:!1,projectionMatrix:null,viewMatrix:null,modelTransformMatrix:null,cameraLightTransform:v(),physicalTranslation:[0,0,0],physicalScale:1,physicalViewUp:[0,1,0],physicalViewNorth:[0,0,-1]};function uh(e,t,n={}){Object.assign(t,ch,n),sn.obj(e,t),sn.get(e,t,[&quot;distance&quot;]),sn.setGet(e,t,[&quot;parallelProjection&quot;,&quot;useHorizontalViewAngle&quot;,&quot;viewAngle&quot;,&quot;parallelScale&quot;,&quot;useOffAxisProjection&quot;,&quot;freezeFocalPoint&quot;,&quot;physicalScale&quot;]),sn.getArray(e,t,[&quot;directionOfProjection&quot;,&quot;viewPlaneNormal&quot;,&quot;position&quot;,&quot;focalPoint&quot;]),sn.setGetArray(e,t,[&quot;clippingRange&quot;,&quot;windowCenter&quot;],2),sn.setGetArray(e,t,[&quot;viewUp&quot;,&quot;screenBottomLeft&quot;,&quot;screenBottomRight&quot;,&quot;screenTopRight&quot;,&quot;physicalTranslation&quot;,&quot;physicalViewUp&quot;,&quot;physicalViewNorth&quot;],3),function(e,t){t.classHierarchy.push(&quot;vtkCamera&quot;);const n=new Float64Array(3),r=new Float64Array([0,0,-1]),o=new Float64Array([0,1,0]),a=x(new Float64Array(16)),i=x(new Float64Array(16)),s=new Float64Array(3),l=new Float64Array(3),c=new Float64Array(3),u=x(new Float64Array(16)),d=x(new Float64Array(16)),p=new Float64Array(3),f=new Float64Array(3);function g(){t.viewPlaneNormal[0]=-t.directionOfProjection[0],t.viewPlaneNormal[1]=-t.directionOfProjection[1],t.viewPlaneNormal[2]=-t.directionOfProjection[2]}e.orthogonalizeViewUp=()=&gt;{const n=e.getViewMatrix();t.viewUp[0]=n[4],t.viewUp[1]=n[5],t.viewUp[2]=n[6],e.modified()},e.setPosition=(n,r,o)=&gt;{n===t.position[0]&amp;&amp;r===t.position[1]&amp;&amp;o===t.position[2]||(t.position[0]=n,t.position[1]=r,t.position[2]=o,e.computeDistance(),e.modified())},e.setFocalPoint=(n,r,o)=&gt;{n===t.focalPoint[0]&amp;&amp;r===t.focalPoint[1]&amp;&amp;o===t.focalPoint[2]||(t.focalPoint[0]=n,t.focalPoint[1]=r,t.focalPoint[2]=o,e.computeDistance(),e.modified())},e.setDistance=n=&gt;{if(t.distance===n)return;t.distance=n,t.distance&lt;1e-20&amp;&amp;(t.distance=1e-20,lh(&quot;Distance is set to minimum.&quot;));const r=t.directionOfProjection;t.focalPoint[0]=t.position[0]+r[0]*t.distance,t.focalPoint[1]=t.position[1]+r[1]*t.distance,t.focalPoint[2]=t.position[2]+r[2]*t.distance,e.modified()},e.computeDistance=()=&gt;{const e=t.focalPoint[0]-t.position[0],n=t.focalPoint[1]-t.position[1],r=t.focalPoint[2]-t.position[2];if(t.distance=Math.sqrt(e*e+n*n+r*r),t.distance&lt;1e-20){t.distance=1e-20,lh(&quot;Distance is set to minimum.&quot;);const e=t.directionOfProjection;t.focalPoint[0]=t.position[0]+e[0]*t.distance,t.focalPoint[1]=t.position[1]+e[1]*t.distance,t.focalPoint[2]=t.position[2]+e[2]*t.distance}t.directionOfProjection[0]=e/t.distance,t.directionOfProjection[1]=n/t.distance,t.directionOfProjection[2]=r/t.distance,g()},e.dolly=n=&gt;{if(n&lt;=0)return;const r=t.distance/n;e.setPosition(t.focalPoint[0]-r*t.directionOfProjection[0],t.focalPoint[1]-r*t.directionOfProjection[1],t.focalPoint[2]-r*t.directionOfProjection[2])},e.roll=n=&gt;{const r=t.position,o=t.focalPoint,a=t.viewUp,i=new Float64Array([a[0],a[1],a[2],0]);x(u);const s=new Float64Array([o[0]-r[0],o[1]-r[1],o[2]-r[2]]);P(u,u,wo(n),s),de(i,i,u),t.viewUp[0]=i[0],t.viewUp[1]=i[1],t.viewUp[2]=i[2],e.modified()},e.azimuth=n=&gt;{const r=t.focalPoint;x(d),C(d,d,r),P(d,d,wo(n),t.viewUp),C(d,d,[-r[0],-r[1],-r[2]]),oe(p,t.position,d),e.setPosition(p[0],p[1],p[2])},e.yaw=n=&gt;{const r=t.position;x(d),C(d,d,r),P(d,d,wo(n),t.viewUp),C(d,d,[-r[0],-r[1],-r[2]]),oe(f,t.focalPoint,d),e.setFocalPoint(f[0],f[1],f[2])},e.elevation=n=&gt;{const r=t.focalPoint,o=e.getViewMatrix(),a=[-o[0],-o[1],-o[2]];x(d),C(d,d,r),P(d,d,wo(n),a),C(d,d,[-r[0],-r[1],-r[2]]),oe(p,t.position,d),e.setPosition(p[0],p[1],p[2])},e.pitch=n=&gt;{const r=t.position,o=e.getViewMatrix(),a=[o[0],o[1],o[2]];x(d),C(d,d,r),P(d,d,wo(n),a),C(d,d,[-r[0],-r[1],-r[2]]),oe(f,t.focalPoint,d),e.setFocalPoint(...f)},e.zoom=n=&gt;{n&lt;=0||(t.parallelProjection?t.parallelScale/=n:t.viewAngle/=n,e.modified())},e.translate=(n,r,o)=&gt;{const a=[n,r,o];ko(t.position,a,t.position),ko(t.focalPoint,a,t.focalPoint),e.computeDistance(),e.modified()},e.applyTransform=n=&gt;{const r=[...t.viewUp,1],o=[],a=[],i=[];r[0]+=t.position[0],r[1]+=t.position[1],r[2]+=t.position[2],de(o,[...t.position,1],n),de(a,[...t.focalPoint,1],n),de(i,r,n),i[0]-=o[0],i[1]-=o[1],i[2]-=o[2],e.setPosition(...o.slice(0,3)),e.setFocalPoint(...a.slice(0,3)),e.setViewUp(...i.slice(0,3))},e.getThickness=()=&gt;t.clippingRange[1]-t.clippingRange[0],e.setThickness=n=&gt;{let r=n;r&lt;1e-20&amp;&amp;(r=1e-20,lh(&quot;Thickness is set to minimum.&quot;)),e.setClippingRange(t.clippingRange[0],t.clippingRange[0]+r)},e.setThicknessFromFocalPoint=n=&gt;{let r=n;r&lt;1e-20&amp;&amp;(r=1e-20,lh(&quot;Thickness is set to minimum.&quot;)),e.setClippingRange(t.distance-r/2,t.distance+r/2)},e.setRoll=e=&gt;{},e.getRoll=()=&gt;{},e.setObliqueAngles=(e,t)=&gt;{},e.getOrientation=()=&gt;{},e.getOrientationWXYZ=()=&gt;{},e.getFrustumPlanes=(t=1,n=new Float64Array(24))=&gt;{const r=[[1,0,0,1],[-1,0,0,1],[0,1,0,1],[0,-1,0,1],[0,0,1,1],[0,0,-1,1]],o=e.getCompositeProjectionMatrix(t,-1,1);for(let e=0;e&lt;6;e++)de(r[e],r[e],o),Xo(r[e]),n[4*e+0]=r[e][0],n[4*e+1]=r[e][1],n[4*e+2]=r[e][2],n[4*e+3]=r[e][3];return n},e.getCameraLightTransformMatrix=e=&gt;(T(e,t.cameraLightTransform),e),e.computeCameraLightTransform=()=&gt;{T(a,e.getViewMatrix()),b(a,a),M(i,[t.distance,t.distance,t.distance]),A(a,a,i),x(t.cameraLightTransform),C(t.cameraLightTransform,a,[0,0,-1])},e.deepCopy=e=&gt;{},e.physicalOrientationToWorldDirection=e=&gt;{const t=he(e[0],e[1],e[2],e[3]),n=pe(),r=he(0,0,1,0);var o,a;return a=t,(o=n)[0]=-a[0],o[1]=-a[1],o[2]=-a[2],o[3]=a[3],ge(r,t,r),ge(r,r,n),[r[0],r[1],r[2]]},e.getPhysicalToWorldMatrix=t=&gt;{e.getWorldToPhysicalMatrix(t),b(t,t)},e.getWorldToPhysicalMatrix=e=&gt;{x(e);const n=[3];Wo(t.physicalViewNorth,t.physicalViewUp,n),e[0]=n[0],e[1]=n[1],e[2]=n[2],e[4]=t.physicalViewUp[0],e[5]=t.physicalViewUp[1],e[6]=t.physicalViewUp[2],e[8]=-t.physicalViewNorth[0],e[9]=-t.physicalViewNorth[1],e[10]=-t.physicalViewNorth[2],y(e,e),Y(s,1/t.physicalScale,1/t.physicalScale,1/t.physicalScale),S(e,e,s),C(e,e,t.physicalTranslation)},e.computeViewParametersFromViewMatrix=i=&gt;{b(a,i),oe(s,n,a),e.computeDistance();const u=t.distance;e.setPosition(s[0],s[1],s[2]),oe(l,r,a),Z(l,l,s),te(l,l),e.setDirectionOfProjection(l[0],l[1],l[2]),oe(c,o,a),Z(c,c,s),te(c,c),e.setViewUp(c[0],c[1],c[2]),e.setDistance(u)},e.computeViewParametersFromPhysicalMatrix=t=&gt;{e.getWorldToPhysicalMatrix(a),A(a,t,a),e.computeViewParametersFromViewMatrix(a)},e.setModelTransformMatrix=e=&gt;{t.modelTransformMatrix=e},e.getModelTransformMatrix=()=&gt;t.modelTransformMatrix,e.setViewMatrix=n=&gt;{t.viewMatrix=n,t.viewMatrix&amp;&amp;(T(a,t.viewMatrix),e.computeViewParametersFromViewMatrix(a),y(t.viewMatrix,t.viewMatrix))},e.getViewMatrix=()=&gt;{if(t.viewMatrix)return t.modelTransformMatrix?(A(a,t.viewMatrix,t.modelTransformMatrix),a):t.viewMatrix;_(a,t.position,t.focalPoint,t.viewUp),y(a,a);const e=new Float64Array(16);return t.modelTransformMatrix?A(e,a,t.modelTransformMatrix):T(e,a),e},e.setProjectionMatrix=e=&gt;{t.projectionMatrix=e},e.getProjectionMatrix=(e,n,r)=&gt;{const o=new Float64Array(16);if(x(o),t.projectionMatrix){const e=1/t.physicalScale;return Y(s,e,e,e),T(o,t.projectionMatrix),S(o,o,s),y(o,o),o}x(a);const i=t.clippingRange[1]-t.clippingRange[0],l=[t.clippingRange[0]+(n+1)*i/2,t.clippingRange[0]+(r+1)*i/2];if(t.parallelProjection){const n=t.parallelScale*e,r=t.parallelScale,o=(t.windowCenter[0]-1)*n,i=(t.windowCenter[0]+1)*n,s=(t.windowCenter[1]-1)*r,c=(t.windowCenter[1]+1)*r;U(a,o,i,s,c,l[0],l[1]),y(a,a)}else{if(t.useOffAxisProjection)throw new Error(&quot;Off-Axis projection is not supported at this time&quot;);{const n=Math.tan(wo(t.viewAngle)/2);let r,o;!0===t.useHorizontalViewAngle?(r=t.clippingRange[0]*n,o=t.clippingRange[0]*n/e):(r=t.clippingRange[0]*n*e,o=t.clippingRange[0]*n);const i=(t.windowCenter[0]-1)*r,s=(t.windowCenter[0]+1)*r,c=(t.windowCenter[1]-1)*o,u=(t.windowCenter[1]+1)*o,d=l[0],p=l[1];a[0]=2*d/(s-i),a[5]=2*d/(u-c),a[2]=(i+s)/(s-i),a[6]=(c+u)/(u-c),a[10]=-(d+p)/(p-d),a[14]=-1,a[11]=-2*d*p/(p-d),a[15]=0}}return T(o,a),o},e.getCompositeProjectionMatrix=(t,n,r)=&gt;{const o=e.getViewMatrix(),a=e.getProjectionMatrix(t,n,r);return A(a,o,a),a},e.setDirectionOfProjection=(e,n,r)=&gt;{if(t.directionOfProjection[0]===e&amp;&amp;t.directionOfProjection[1]===n&amp;&amp;t.directionOfProjection[2]===r)return;t.directionOfProjection[0]=e,t.directionOfProjection[1]=n,t.directionOfProjection[2]=r;const o=t.directionOfProjection;t.focalPoint[0]=t.position[0]+o[0]*t.distance,t.focalPoint[1]=t.position[1]+o[1]*t.distance,t.focalPoint[2]=t.position[2]+o[2]*t.distance,g()},e.setDeviceAngles=(n,r,o,a)=&gt;{const i=[3];Wo(t.physicalViewNorth,t.physicalViewUp,i);const s=x(new Float64Array(16));P(s,s,wo(n),t.physicalViewUp),P(s,s,wo(r),i),P(s,s,wo(o),t.physicalViewNorth),P(s,s,wo(-a),t.physicalViewUp);const l=new Float64Array([-t.physicalViewUp[0],-t.physicalViewUp[1],-t.physicalViewUp[2]]),c=new Float64Array(t.physicalViewNorth);oe(l,l,s),oe(c,c,s),e.setDirectionOfProjection(l[0],l[1],l[2]),e.setViewUp(c[0],c[1],c[2]),e.modified()},e.setOrientationWXYZ=(t,n,r,o)=&gt;{const a=x(new Float64Array(16));if(0!==t&amp;&amp;(0!==n||0!==r||0!==o)){const e=wo(t),i=pe();fe(i,[n,r,o],e),F(a,i)}const i=new Float64Array(3);oe(i,[0,0,-1],a);const s=new Float64Array(3);oe(s,[0,1,0],a),e.setDirectionOfProjection(...i),e.setViewUp(...s),e.modified()},e.computeClippingRange=e=&gt;{let n=null,r=null;n=t.viewPlaneNormal,r=t.position;const o=-n[0],a=-n[1],i=-n[2],s=-(o*r[0]+a*r[1]+i*r[2]),l=[o*e[0]+a*e[2]+i*e[4]+s,1e-18];for(let t=0;t&lt;2;t++)for(let n=0;n&lt;2;n++)for(let r=0;r&lt;2;r++){const c=o*e[r]+a*e[2+n]+i*e[4+t]+s;l[0]=c&lt;l[0]?c:l[0],l[1]=c&gt;l[1]?c:l[1]}return l}}(e,t)}var dh={newInstance:sn.newInstance(uh,&quot;vtkCamera&quot;),extend:uh};const ph={switch:!0,intensity:1,color:[1,1,1],position:[0,0,1],focalPoint:[0,0,0],positional:!1,exponent:1,coneAngle:30,coneFalloff:5,attenuationValues:[1,0,0],transformMatrix:null,lightType:&quot;SceneLight&quot;,shadowAttenuation:1,direction:[0,0,0],directionMTime:0};function fh(e,t,n={}){Object.assign(t,ph,n),sn.obj(e,t),sn.setGet(e,t,[&quot;intensity&quot;,&quot;switch&quot;,&quot;positional&quot;,&quot;exponent&quot;,&quot;coneAngle&quot;,&quot;coneFalloff&quot;,&quot;transformMatrix&quot;,&quot;lightType&quot;,&quot;shadowAttenuation&quot;,&quot;attenuationValues&quot;]),sn.setGetArray(e,t,[&quot;color&quot;,&quot;position&quot;,&quot;focalPoint&quot;,&quot;attenuationValues&quot;],3),function(e,t){t.classHierarchy.push(&quot;vtkLight&quot;);const n=new Float64Array(3);e.getTransformedPosition=()=&gt;(t.transformMatrix?oe(n,t.position,t.transformMatrix):Y(n,t.position[0],t.position[1],t.position[2]),n),e.getTransformedFocalPoint=()=&gt;(t.transformMatrix?oe(n,t.focalPoint,t.transformMatrix):Y(n,t.focalPoint[0],t.focalPoint[1],t.focalPoint[2]),n),e.getDirection=()=&gt;(t.directionMTime&lt;t.mtime&amp;&amp;(le(t.direction,t.focalPoint,t.position),jo(t.direction),t.directionMTime=t.mtime),t.direction),e.setDirection=e=&gt;{const n=new Float64Array(3);le(n,t.position,e),t.focalPoint=n},e.setDirectionAngle=(t,n)=&gt;{const r=wo(t),o=wo(n);e.setPosition(Math.cos(r)*Math.sin(o),Math.sin(r),Math.cos(r)*Math.cos(o)),e.setFocalPoint(0,0,0),e.setPositional(0)},e.setLightTypeToHeadLight=()=&gt;{e.setLightType(&quot;HeadLight&quot;)},e.setLightTypeToCameraLight=()=&gt;{e.setLightType(&quot;CameraLight&quot;)},e.setLightTypeToSceneLight=()=&gt;{e.setTransformMatrix(null),e.setLightType(&quot;SceneLight&quot;)},e.lightTypeIsHeadLight=()=&gt;&quot;HeadLight&quot;===t.lightType,e.lightTypeIsSceneLight=()=&gt;&quot;SceneLight&quot;===t.lightType,e.lightTypeIsCameraLight=()=&gt;&quot;CameraLight&quot;===t.lightType}(e,t)}var gh={newInstance:sn.newInstance(fh,&quot;vtkLight&quot;),extend:fh,LIGHT_TYPES:[&quot;HeadLight&quot;,&quot;CameraLight&quot;,&quot;SceneLight&quot;]};const{vtkErrorMacro:mh}=sn;function hh(e,t){function n(e,t=[]){t.push(e);const r=e.getNestedProps();if(r&amp;&amp;r.length)for(let e=0;e&lt;r.length;e++)n(r[e],t);return t}var r;t.classHierarchy.push(&quot;vtkViewport&quot;),e.getViewProps=()=&gt;t.props,e.hasViewProp=e=&gt;t.props.includes(e),e.addViewProp=n=&gt;{n&amp;&amp;!e.hasViewProp(n)&amp;&amp;t.props.push(n)},e.removeViewProp=e=&gt;{const n=t.props.filter((t=&gt;t!==e));t.props.length!==n.length&amp;&amp;(t.props=n)},e.removeAllViewProps=()=&gt;{t.props=[]},e.getViewPropsWithNestedProps=()=&gt;{let e=[];t.actors2D=[];for(let r=0;r&lt;t.props.length;r++){const o=t.props[r].getActors2D();o&amp;&amp;(!Array.isArray(o)||o.length&gt;0)?t.actors2D=t.actors2D.concat(o):n(t.props[r],e)}return t.actors2D.sort(((e,t)=&gt;e.getLayerNumber()-t.getLayerNumber())),e=e.concat(t.actors2D),e},e.addActor2D=e.addViewProp,e.removeActor2D=t=&gt;{e.removeViewProp(t)},e.getActors2D=()=&gt;(t.actors2D=[],t.props.forEach((e=&gt;{t.actors2D=t.actors2D.concat(e.getActors2D())})),t.actors2D),e.displayToView=()=&gt;mh(&quot;call displayToView on your view instead&quot;),e.viewToDisplay=()=&gt;mh(&quot;callviewtodisplay on your view instead&quot;),e.getSize=()=&gt;mh(&quot;call getSize on your View instead&quot;),e.normalizedDisplayToProjection=(t,n,r)=&gt;{const o=e.normalizedDisplayToNormalizedViewport(t,n,r);return e.normalizedViewportToProjection(o[0],o[1],o[2])},e.normalizedDisplayToNormalizedViewport=(e,n,r)=&gt;{const o=[t.viewport[2]-t.viewport[0],t.viewport[3]-t.viewport[1]];return[(e-t.viewport[0])/o[0],(n-t.viewport[1])/o[1],r]},e.normalizedViewportToProjection=(e,t,n)=&gt;[2*e-1,2*t-1,2*n-1],e.projectionToNormalizedDisplay=(t,n,r)=&gt;{const o=e.projectionToNormalizedViewport(t,n,r);return e.normalizedViewportToNormalizedDisplay(o[0],o[1],o[2])},e.normalizedViewportToNormalizedDisplay=(e,n,r)=&gt;{const o=[t.viewport[2]-t.viewport[0],t.viewport[3]-t.viewport[1]];return[e*o[0]+t.viewport[0],n*o[1]+t.viewport[1],r]},e.projectionToNormalizedViewport=(e,t,n)=&gt;[.5*(e+1),.5*(t+1),.5*(n+1)],e.PickPropFrom=(r=&quot;PickPropFrom&quot;,()=&gt;mh(`vtkViewport::${r} - NOT IMPLEMENTED`))}const vh={background:[0,0,0],background2:[.2,.2,.2],gradientBackground:!1,viewport:[0,0,1,1],aspect:[1,1],pixelAspect:[1,1],props:[],actors2D:[]};function Th(e,t,n={}){Object.assign(t,vh,n),sn.obj(e,t),sn.event(e,t,&quot;event&quot;),sn.setGetArray(e,t,[&quot;viewport&quot;],4),sn.setGetArray(e,t,[&quot;background&quot;,&quot;background2&quot;],3),hh(e,t)}var xh={newInstance:sn.newInstance(Th,&quot;vtkViewport&quot;),extend:Th};const{vtkDebugMacro:yh,vtkErrorMacro:bh,vtkWarningMacro:Ah}=ln;function Ch(e){return()=&gt;bh(`vtkRenderer::${e} - NOT IMPLEMENTED`)}const Sh={pickedProp:null,activeCamera:null,allBounds:[],ambient:[1,1,1],allocatedRenderTime:100,timeFactor:1,automaticLightCreation:!0,twoSidedLighting:!0,lastRenderTimeInSeconds:-1,renderWindow:null,lights:[],actors:[],volumes:[],lightFollowCamera:!0,numberOfPropsRendered:0,propArray:null,pathArray:null,layer:0,preserveColorBuffer:!1,preserveDepthBuffer:!1,computeVisiblePropBounds:Ga(),interactive:!0,nearClippingPlaneTolerance:0,clippingRangeExpansion:.05,erase:!0,draw:!0,useShadows:!1,useDepthPeeling:!1,occlusionRatio:0,maximumNumberOfPeels:4,selector:null,delegate:null,texturedBackground:!1,backgroundTexture:null,environmentTexture:null,environmentTextureDiffuseStrength:1,environmentTextureSpecularStrength:1,useEnvironmentTextureAsBackground:!1,pass:0};function Ph(e,t,n={}){for(Object.assign(t,Sh,n),xh.extend(e,t,n),t.background||(t.background=[0,0,0,1]);t.background.length&lt;3;)t.background.push(0);3===t.background.length&amp;&amp;t.background.push(1),Bt(e,t,[&quot;_renderWindow&quot;,&quot;allocatedRenderTime&quot;,&quot;timeFactor&quot;,&quot;lastRenderTimeInSeconds&quot;,&quot;numberOfPropsRendered&quot;,&quot;lastRenderingUsedDepthPeeling&quot;,&quot;selector&quot;]),Gt(e,t,[&quot;twoSidedLighting&quot;,&quot;lightFollowCamera&quot;,&quot;automaticLightCreation&quot;,&quot;erase&quot;,&quot;draw&quot;,&quot;nearClippingPlaneTolerance&quot;,&quot;clippingRangeExpansion&quot;,&quot;backingStore&quot;,&quot;interactive&quot;,&quot;layer&quot;,&quot;preserveColorBuffer&quot;,&quot;preserveDepthBuffer&quot;,&quot;useDepthPeeling&quot;,&quot;occlusionRatio&quot;,&quot;maximumNumberOfPeels&quot;,&quot;delegate&quot;,&quot;backgroundTexture&quot;,&quot;texturedBackground&quot;,&quot;environmentTexture&quot;,&quot;environmentTextureDiffuseStrength&quot;,&quot;environmentTextureSpecularStrength&quot;,&quot;useEnvironmentTextureAsBackground&quot;,&quot;useShadows&quot;,&quot;pass&quot;]),Ut(e,t,[&quot;actors&quot;,&quot;volumes&quot;,&quot;lights&quot;]),Kt(e,t,[&quot;background&quot;],4,1),zt(0,t,[&quot;renderWindow&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkRenderer&quot;);const n={type:&quot;ComputeVisiblePropBoundsEvent&quot;,renderer:e},r={type:&quot;ResetCameraClippingRangeEvent&quot;,renderer:e},o={type:&quot;ResetCameraEvent&quot;,renderer:e};e.updateCamera=()=&gt;(t.activeCamera||(yh(&quot;No cameras are on, creating one.&quot;),e.getActiveCameraAndResetIfCreated()),t.activeCamera.render(e),!0),e.updateLightsGeometryToFollowCamera=()=&gt;{const n=e.getActiveCameraAndResetIfCreated();t.lights.forEach((e=&gt;{e.lightTypeIsSceneLight()||(e.lightTypeIsHeadLight()?(e.setPositionFrom(n.getPositionByReference()),e.setFocalPointFrom(n.getFocalPointByReference()),e.modified(n.getMTime())):e.lightTypeIsCameraLight()?e.setTransformMatrix(n.getCameraLightTransformMatrix(v())):bh(&quot;light has unknown light type&quot;,e.get()))}))},e.updateLightGeometry=()=&gt;!t.lightFollowCamera||e.updateLightsGeometryToFollowCamera(),e.allocateTime=Ch(&quot;allocateTime&quot;),e.updateGeometry=Ch(&quot;updateGeometry&quot;),e.getVTKWindow=()=&gt;t._renderWindow,e.setLayer=n=&gt;{yh(e.getClassName(),e,&quot;setting Layer to &quot;,n),t.layer!==n&amp;&amp;(t.layer=n,e.modified()),e.setPreserveColorBuffer(!!n)},e.setActiveCamera=n=&gt;t.activeCamera!==n&amp;&amp;(t.activeCamera=n,e.modified(),e.invokeEvent({type:&quot;ActiveCameraEvent&quot;,camera:n}),!0),e.makeCamera=()=&gt;{const t=dh.newInstance();return e.invokeEvent({type:&quot;CreateCameraEvent&quot;,camera:t}),t},e.getActiveCamera=()=&gt;(t.activeCamera||(t.activeCamera=e.makeCamera()),t.activeCamera),e.getActiveCameraAndResetIfCreated=()=&gt;(t.activeCamera||(e.getActiveCamera(),e.resetCamera()),t.activeCamera),e.getActors=()=&gt;(t.actors=[],t.props.forEach((e=&gt;{t.actors=t.actors.concat(e.getActors())})),t.actors),e.addActor=e.addViewProp,e.removeActor=n=&gt;{t.actors=t.actors.filter((e=&gt;e!==n)),e.removeViewProp(n),e.modified()},e.removeAllActors=()=&gt;{e.getActors().forEach((t=&gt;{e.removeViewProp(t)})),t.actors=[],e.modified()},e.getVolumes=()=&gt;(t.volumes=[],t.props.forEach((e=&gt;{t.volumes=t.volumes.concat(e.getVolumes())})),t.volumes),e.addVolume=e.addViewProp,e.removeVolume=n=&gt;{t.volumes=t.volumes.filter((e=&gt;e!==n)),e.removeViewProp(n),e.modified()},e.removeAllVolumes=()=&gt;{e.getVolumes().forEach((t=&gt;{e.removeViewProp(t)})),t.volumes=[],e.modified()},e.hasLight=e=&gt;t.lights.includes(e),e.addLight=n=&gt;{n&amp;&amp;!e.hasLight(n)&amp;&amp;(t.lights.push(n),e.modified())},e.removeLight=n=&gt;{t.lights=t.lights.filter((e=&gt;e!==n)),e.modified()},e.removeAllLights=()=&gt;{t.lights=[],e.modified()},e.setLightCollection=n=&gt;{t.lights=n,e.modified()},e.makeLight=gh.newInstance,e.createLight=()=&gt;{t.automaticLightCreation&amp;&amp;(t._createdLight&amp;&amp;(e.removeLight(t._createdLight),t._createdLight.delete(),t._createdLight=null),t._createdLight=e.makeLight(),e.addLight(t._createdLight),t._createdLight.setLightTypeToHeadLight(),t._createdLight.setPosition(e.getActiveCamera().getPosition()),t._createdLight.setFocalPoint(e.getActiveCamera().getFocalPoint()))},e.normalizedDisplayToWorld=(t,n,r,o)=&gt;{let a=e.normalizedDisplayToProjection(t,n,r);return a=e.projectionToView(a[0],a[1],a[2],o),e.viewToWorld(a[0],a[1],a[2])},e.worldToNormalizedDisplay=(t,n,r,o)=&gt;{let a=e.worldToView(t,n,r);return a=e.viewToProjection(a[0],a[1],a[2],o),e.projectionToNormalizedDisplay(a[0],a[1],a[2])},e.viewToWorld=(e,n,r)=&gt;{if(null===t.activeCamera)return bh(&quot;ViewToWorld: no active camera, cannot compute view to world, returning 0,0,0&quot;),[0,0,0];const o=t.activeCamera.getViewMatrix();b(o,o),y(o,o);const a=new Float64Array([e,n,r]);return oe(a,a,o),a},e.projectionToView=(e,n,r,o)=&gt;{if(null===t.activeCamera)return bh(&quot;ProjectionToView: no active camera, cannot compute projection to view, returning 0,0,0&quot;),[0,0,0];const a=t.activeCamera.getProjectionMatrix(o,-1,1);b(a,a),y(a,a);const i=new Float64Array([e,n,r]);return oe(i,i,a),i},e.worldToView=(e,n,r)=&gt;{if(null===t.activeCamera)return bh(&quot;WorldToView: no active camera, cannot compute view to world, returning 0,0,0&quot;),[0,0,0];const o=t.activeCamera.getViewMatrix();y(o,o);const a=new Float64Array([e,n,r]);return oe(a,a,o),a},e.viewToProjection=(e,n,r,o)=&gt;{if(null===t.activeCamera)return bh(&quot;ViewToProjection: no active camera, cannot compute view to projection, returning 0,0,0&quot;),[0,0,0];const a=t.activeCamera.getProjectionMatrix(o,-1,1);y(a,a);const i=new Float64Array([e,n,r]);return oe(i,i,a),i},e.computeVisiblePropBounds=()=&gt;{t.allBounds[0]=Hi.INIT_BOUNDS[0],t.allBounds[1]=Hi.INIT_BOUNDS[1],t.allBounds[2]=Hi.INIT_BOUNDS[2],t.allBounds[3]=Hi.INIT_BOUNDS[3],t.allBounds[4]=Hi.INIT_BOUNDS[4],t.allBounds[5]=Hi.INIT_BOUNDS[5];let r=!0;e.invokeEvent(n);for(let e=0;e&lt;t.props.length;++e){const n=t.props[e];if(n.getVisibility()&amp;&amp;n.getUseBounds()){const e=n.getBounds();e&amp;&amp;Oa(e)&amp;&amp;(r=!1,e[0]&lt;t.allBounds[0]&amp;&amp;(t.allBounds[0]=e[0]),e[1]&gt;t.allBounds[1]&amp;&amp;(t.allBounds[1]=e[1]),e[2]&lt;t.allBounds[2]&amp;&amp;(t.allBounds[2]=e[2]),e[3]&gt;t.allBounds[3]&amp;&amp;(t.allBounds[3]=e[3]),e[4]&lt;t.allBounds[4]&amp;&amp;(t.allBounds[4]=e[4]),e[5]&gt;t.allBounds[5]&amp;&amp;(t.allBounds[5]=e[5]))}}return r&amp;&amp;(Ia(t.allBounds),yh(&quot;Can&#x27;t compute bounds, no 3D props are visible&quot;)),t.allBounds},e.resetCamera=(n=null)=&gt;{const r=n||e.computeVisiblePropBounds(),a=[0,0,0];if(!Oa(r))return yh(&quot;Cannot reset camera!&quot;),!1;let i=null;if(!e.getActiveCamera())return bh(&quot;Trying to reset non-existent camera&quot;),!1;i=t.activeCamera.getViewPlaneNormal(),t.activeCamera.setViewAngle(30),a[0]=(r[0]+r[1])/2,a[1]=(r[2]+r[3])/2,a[2]=(r[4]+r[5])/2;let s=r[1]-r[0],l=r[3]-r[2],c=r[5]-r[4];s*=s,l*=l,c*=c;let u=s+l+c;u=0===u?1:u,u=.5*Math.sqrt(u);const d=wo(t.activeCamera.getViewAngle()),p=u,f=u/Math.sin(.5*d),g=t.activeCamera.getViewUp();return Math.abs(zo(g,i))&gt;.999&amp;&amp;(Ah(&quot;Resetting view-up since view plane normal is parallel&quot;),t.activeCamera.setViewUp(-g[2],g[0],g[1])),t.activeCamera.setFocalPoint(a[0],a[1],a[2]),t.activeCamera.setPosition(a[0]+f*i[0],a[1]+f*i[1],a[2]+f*i[2]),e.resetCameraClippingRange(r),t.activeCamera.setParallelScale(p),t.activeCamera.setPhysicalScale(u),t.activeCamera.setPhysicalTranslation(-a[0],-a[1],-a[2]),e.invokeEvent(o),!0},e.resetCameraClippingRange=(n=null)=&gt;{const o=n||e.computeVisiblePropBounds();if(!Oa(o))return yh(&quot;Cannot reset camera clipping range!&quot;),!1;if(e.getActiveCameraAndResetIfCreated(),!t.activeCamera)return bh(&quot;Trying to reset clipping range of non-existent camera&quot;),!1;const a=t.activeCamera.computeClippingRange(o);let i=0;if(t.activeCamera.getParallelProjection())i=.2*t.activeCamera.getParallelScale();else{const e=wo(t.activeCamera.getViewAngle());i=.2*Math.tan(e/2)*a[1]}return a[1]-a[0]&lt;i&amp;&amp;(i=i-a[1]+a[0],a[1]+=i/2,a[0]-=i/2),a[0]&lt;0&amp;&amp;(a[0]=0),a[0]=.99*a[0]-(a[1]-a[0])*t.clippingRangeExpansion,a[1]=1.01*a[1]+(a[1]-a[0])*t.clippingRangeExpansion,a[0]=a[0]&gt;=a[1]?.01*a[1]:a[0],t.nearClippingPlaneTolerance||(t.nearClippingPlaneTolerance=.01),a[0]&lt;t.nearClippingPlaneTolerance*a[1]&amp;&amp;(a[0]=t.nearClippingPlaneTolerance*a[1]),t.activeCamera.setClippingRange(a[0],a[1]),e.invokeEvent(r),!1},e.setRenderWindow=e=&gt;{e!==t._renderWindow&amp;&amp;(t._vtkWindow=e,t._renderWindow=e)},e.visibleActorCount=()=&gt;t.props.filter((e=&gt;e.getVisibility())).length,e.visibleVolumeCount=e.visibleActorCount,e.getMTime=()=&gt;{let e=t.mtime;const n=t.activeCamera?t.activeCamera.getMTime():0;n&gt;e&amp;&amp;(e=n);const r=t._createdLight?t._createdLight.getMTime():0;return r&gt;e&amp;&amp;(e=r),e},e.getTransparent=()=&gt;!!t.preserveColorBuffer,e.isActiveCameraCreated=()=&gt;!!t.activeCamera}(e,t)}var wh={newInstance:Xt(Ph,&quot;vtkRenderer&quot;),extend:Ph};const Ih=Object.create(null);function Oh(e,t){Ih[e]=t}function Rh(e,t={}){return Ih[e]&amp;&amp;Ih[e](t)}const Mh={defaultViewAPI:&quot;WebGL&quot;,renderers:[],views:[],interactor:null,neverRendered:!0,numberOfLayers:1,childRenderWindows:[]};function Dh(e,t,n={}){Object.assign(t,Mh,n),sn.obj(e,t),sn.setGet(e,t,[&quot;interactor&quot;,&quot;numberOfLayers&quot;,&quot;_views&quot;,&quot;defaultViewAPI&quot;]),sn.get(e,t,[&quot;neverRendered&quot;]),sn.getArray(e,t,[&quot;renderers&quot;,&quot;childRenderWindows&quot;]),sn.moveToProtected(e,t,[&quot;views&quot;]),sn.event(e,t,&quot;completion&quot;),function(e,t){t.classHierarchy.push(&quot;vtkRenderWindow&quot;),e.addRenderer=n=&gt;{e.hasRenderer(n)||(n.setRenderWindow(e),t.renderers.push(n),e.modified())},e.removeRenderer=n=&gt;{t.renderers=t.renderers.filter((e=&gt;e!==n)),e.modified()},e.hasRenderer=e=&gt;-1!==t.renderers.indexOf(e),e.newAPISpecificView=(e,n={})=&gt;Rh(e||t.defaultViewAPI,n),e.addView=n=&gt;{e.hasView(n)||(n.setRenderable(e),t._views.push(n),e.modified())},e.removeView=n=&gt;{t._views=t._views.filter((e=&gt;e!==n)),e.modified()},e.hasView=e=&gt;-1!==t._views.indexOf(e),e.preRender=()=&gt;{t.renderers.forEach((e=&gt;{e.isActiveCameraCreated()||e.resetCamera()}))},e.render=()=&gt;{e.preRender(),t.interactor?t.interactor.render():t._views.forEach((e=&gt;e.traverseAllPasses()))},e.getStatistics=()=&gt;{const e={propCount:0,invisiblePropCount:0,gpuMemoryMB:0};return t._views.forEach((t=&gt;{t.getGraphicsMemoryInfo&amp;&amp;(e.gpuMemoryMB+=t.getGraphicsMemoryInfo()/1e6)})),t.renderers.forEach((n=&gt;{const r=n.getViewProps(),o=t._views[0].getViewNodeFor(n);r.forEach((t=&gt;{if(t.getVisibility()){e.propCount+=1;const n=t.getMapper&amp;&amp;t.getMapper();if(n&amp;&amp;n.getPrimitiveCount){const t=o.getViewNodeFor(n);if(t){t.getAllocatedGPUMemoryInBytes&amp;&amp;(e.gpuMemoryMB+=t.getAllocatedGPUMemoryInBytes()/1e6);const r=n.getPrimitiveCount();Object.keys(r).forEach((t=&gt;{e[t]||(e[t]=0),e[t]+=r[t]}))}}}else e.invisiblePropCount+=1}))})),e.str=Object.keys(e).map((t=&gt;`${t}: ${e[t]}`)).join(&quot;\\n&quot;),e},e.captureImages=(n=&quot;image/png&quot;,r={})=&gt;(sn.setImmediate(e.render),t._views.map((e=&gt;e.captureNextImage?e.captureNextImage(n,r):void 0)).filter((e=&gt;!!e))),e.addRenderWindow=n=&gt;!t.childRenderWindows.includes(n)&amp;&amp;(t.childRenderWindows.push(n),e.modified(),!0),e.removeRenderWindow=n=&gt;{const r=t.childRenderWindows.findIndex((e=&gt;e===n));return!(r&lt;0||(t.childRenderWindows.splice(r,1),e.modified(),0))}}(e,t)}var Eh={newInstance:sn.newInstance(Dh,&quot;vtkRenderWindow&quot;),extend:Dh,registerViewConstructor:Oh,listViewAPIs:function(){return Object.keys(Ih)},newAPISpecificView:Rh};const Vh={Unknown:0,LeftController:1,RightController:2},Lh={Unknown:0,Trigger:1,TrackPad:2,Grip:3,Thumbstick:4,A:5,B:6,ApplicationMenu:7};var Bh={Device:Vh,Input:Lh,Axis:{Unknown:0,TouchpadX:1,TouchpadY:2,ThumbstickX:3,ThumbstickY:4},MouseButton:{LeftButton:1,MiddleButton:2,RightButton:3}};const{Device:Fh,Input:Nh}=Bh,{vtkWarningMacro:kh,vtkErrorMacro:Gh,normalizeWheel:Uh,vtkOnceErrorMacro:_h}=sn,Kh={ctrlKey:!1,altKey:!1,shiftKey:!1},zh={&quot;xr-standard&quot;:[Nh.Trigger,Nh.Grip,Nh.TrackPad,Nh.Thumbstick,Nh.A,Nh.B]},Wh=[&quot;StartAnimation&quot;,&quot;Animation&quot;,&quot;EndAnimation&quot;,&quot;PointerEnter&quot;,&quot;PointerLeave&quot;,&quot;MouseEnter&quot;,&quot;MouseLeave&quot;,&quot;StartMouseMove&quot;,&quot;MouseMove&quot;,&quot;EndMouseMove&quot;,&quot;LeftButtonPress&quot;,&quot;LeftButtonRelease&quot;,&quot;MiddleButtonPress&quot;,&quot;MiddleButtonRelease&quot;,&quot;RightButtonPress&quot;,&quot;RightButtonRelease&quot;,&quot;KeyPress&quot;,&quot;KeyDown&quot;,&quot;KeyUp&quot;,&quot;StartMouseWheel&quot;,&quot;MouseWheel&quot;,&quot;EndMouseWheel&quot;,&quot;StartPinch&quot;,&quot;Pinch&quot;,&quot;EndPinch&quot;,&quot;StartPan&quot;,&quot;Pan&quot;,&quot;EndPan&quot;,&quot;StartRotate&quot;,&quot;Rotate&quot;,&quot;EndRotate&quot;,&quot;Button3D&quot;,&quot;Move3D&quot;,&quot;StartPointerLock&quot;,&quot;EndPointerLock&quot;,&quot;StartInteraction&quot;,&quot;Interaction&quot;,&quot;EndInteraction&quot;,&quot;AnimationFrameRateUpdate&quot;];function Hh(e){e.cancelable&amp;&amp;e.preventDefault()}function jh(e){const t=Object.create(null);return e.forEach((({pointerId:e,position:n})=&gt;{t[e]=n})),t}const Xh={renderWindow:null,interactorStyle:null,picker:null,pickingManager:null,initialized:!1,enabled:!1,enableRender:!0,currentRenderer:null,lightFollowCamera:!0,desiredUpdateRate:30,stillUpdateRate:2,container:null,recognizeGestures:!0,currentGesture:&quot;Start&quot;,animationRequest:null,lastFrameTime:.1,recentAnimationFrameRate:10,wheelTimeoutID:0,moveTimeoutID:0,lastGamepadValues:{},preventDefaultOnPointerDown:!1,preventDefaultOnPointerUp:!1,mouseScrollDebounceByPass:!1};function qh(e,t,n={}){Object.assign(t,Xh,n),sn.obj(e,t),t._animationExtendedEnd=0,sn.event(e,t,&quot;RenderEvent&quot;),Wh.forEach((n=&gt;sn.event(e,t,n))),sn.get(e,t,[&quot;initialized&quot;,&quot;interactorStyle&quot;,&quot;lastFrameTime&quot;,&quot;recentAnimationFrameRate&quot;,&quot;_view&quot;]),sn.setGet(e,t,[&quot;container&quot;,&quot;lightFollowCamera&quot;,&quot;enabled&quot;,&quot;enableRender&quot;,&quot;recognizeGestures&quot;,&quot;desiredUpdateRate&quot;,&quot;stillUpdateRate&quot;,&quot;picker&quot;,&quot;preventDefaultOnPointerDown&quot;,&quot;preventDefaultOnPointerUp&quot;,&quot;mouseScrollDebounceByPass&quot;]),sn.moveToProtected(e,t,[&quot;view&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkRenderWindowInteractor&quot;);const n={...e},r=new Set,o=new Map;let a=1,i=0;function s(n,r){t._forcedRenderer||(t.currentRenderer=e.findPokedRenderer(n,r))}e.start=()=&gt;{(t.initialized||(e.initialize(),t.initialized))&amp;&amp;e.startEventLoop()},e.setRenderWindow=e=&gt;{Gh(&quot;you want to call setView(view) instead of setRenderWindow on a vtk.js interactor&quot;)},e.setInteractorStyle=n=&gt;{t.interactorStyle!==n&amp;&amp;(null!=t.interactorStyle&amp;&amp;t.interactorStyle.setInteractor(null),t.interactorStyle=n,null!=t.interactorStyle&amp;&amp;t.interactorStyle.getInteractor()!==e&amp;&amp;t.interactorStyle.setInteractor(e))},e.initialize=()=&gt;{t.initialized=!0,e.enable(),e.render()},e.enable=()=&gt;e.setEnabled(!0),e.disable=()=&gt;e.setEnabled(!1),e.startEventLoop=()=&gt;kh(&quot;empty event loop&quot;),e.getCurrentRenderer=()=&gt;(t.currentRenderer||s(0,0),t.currentRenderer);const l=t._getScreenEventPositionFor||function(e){const n=t._view.getCanvas(),r=n.getBoundingClientRect(),a=n.width/r.width,i=n.height/r.height,l={x:a*(e.clientX-r.left),y:i*(r.height-e.clientY+r.top),z:0,movementX:a*e.movementX,movementY:i*e.movementY};return(o.size&lt;=1||!t.currentRenderer)&amp;&amp;s(l.x,l.y),l};function c(e){return{controlKey:e.ctrlKey,altKey:e.altKey,shiftKey:e.shiftKey}}function u(e){const t=c(e);return{key:e.key,keyCode:e.charCode,...t}}function d(e){return e.pointerType||&quot;&quot;}const p=()=&gt;{if(null===t.container)return;const{container:n}=t;n.addEventListener(&quot;contextmenu&quot;,Hh),n.addEventListener(&quot;wheel&quot;,e.handleWheel),n.addEventListener(&quot;DOMMouseScroll&quot;,e.handleWheel),n.addEventListener(&quot;pointerenter&quot;,e.handlePointerEnter),n.addEventListener(&quot;pointerleave&quot;,e.handlePointerLeave),n.addEventListener(&quot;pointermove&quot;,e.handlePointerMove,{passive:!1}),n.addEventListener(&quot;pointerdown&quot;,e.handlePointerDown,{passive:!1}),n.addEventListener(&quot;pointerup&quot;,e.handlePointerUp),n.addEventListener(&quot;pointercancel&quot;,e.handlePointerCancel),n.addEventListener(&quot;keypress&quot;,e.handleKeyPress),n.addEventListener(&quot;keydown&quot;,e.handleKeyDown),document.addEventListener(&quot;keyup&quot;,e.handleKeyUp),document.addEventListener(&quot;pointerlockchange&quot;,e.handlePointerLockChange),n.tabIndex=0,n.style.touchAction=&quot;none&quot;,n.style.userSelect=&quot;none&quot;,n.style.webkitTapHighlightColor=&quot;rgba(0,0,0,0)&quot;};e.bindEvents=e=&gt;{null!==e&amp;&amp;n.setContainer(e)&amp;&amp;p()};const f=()=&gt;{clearTimeout(t.moveTimeoutID),clearTimeout(t.wheelTimeoutID),t.moveTimeoutID=0,t.wheelTimeoutID=0,a=1;const{container:n}=t;n&amp;&amp;(n.removeEventListener(&quot;contextmenu&quot;,Hh),n.removeEventListener(&quot;wheel&quot;,e.handleWheel),n.removeEventListener(&quot;DOMMouseScroll&quot;,e.handleWheel),n.removeEventListener(&quot;pointerenter&quot;,e.handlePointerEnter),n.removeEventListener(&quot;pointerleave&quot;,e.handlePointerLeave),n.removeEventListener(&quot;pointermove&quot;,e.handlePointerMove,{passive:!1}),n.removeEventListener(&quot;pointerdown&quot;,e.handlePointerDown,{passive:!1}),n.removeEventListener(&quot;pointerup&quot;,e.handlePointerUp),n.removeEventListener(&quot;pointercancel&quot;,e.handlePointerCancel),n.removeEventListener(&quot;keypress&quot;,e.handleKeyPress),n.removeEventListener(&quot;keydown&quot;,e.handleKeyDown)),document.removeEventListener(&quot;keyup&quot;,e.handleKeyUp),document.removeEventListener(&quot;pointerlockchange&quot;,e.handlePointerLockChange),o.clear(),i=0};function g(t,n,r){n&amp;~r&amp;1&amp;&amp;e.leftButtonReleaseEvent(t),n&amp;~r&amp;4&amp;&amp;e.middleButtonReleaseEvent(t),n&amp;~r&amp;2&amp;&amp;e.rightButtonReleaseEvent(t),~n&amp;r&amp;1&amp;&amp;e.leftButtonPressEvent(t),~n&amp;r&amp;4&amp;&amp;e.middleButtonPressEvent(t),~n&amp;r&amp;2&amp;&amp;e.rightButtonPressEvent(t)}function m(){t._view&amp;&amp;t.enabled&amp;&amp;t.enableRender&amp;&amp;(t.inRender=!0,t._view.traverseAllPasses(),t.inRender=!1),e.invokeRenderEvent()}e.unbindEvents=()=&gt;{f(),n.setContainer(null)},e.handleKeyPress=t=&gt;{const n=u(t);e.keyPressEvent(n)},e.handleKeyDown=t=&gt;{const n=u(t);e.keyDownEvent(n)},e.handleKeyUp=t=&gt;{const n=u(t);e.keyUpEvent(n)},e.handlePointerEnter=t=&gt;{const n={...c(t),position:l(t),deviceType:d(t)};e.pointerEnterEvent(n),&quot;mouse&quot;===n.deviceType&amp;&amp;e.mouseEnterEvent(n)},e.handlePointerLeave=t=&gt;{const n={...c(t),position:l(t),deviceType:d(t)};e.pointerLeaveEvent(n),&quot;mouse&quot;===n.deviceType&amp;&amp;e.mouseLeaveEvent(n)},e.handlePointerDown=n=&gt;{if(!(n.button&gt;2||e.isPointerLocked()))switch(t.preventDefaultOnPointerDown&amp;&amp;Hh(n),n.target.hasPointerCapture(n.pointerId)&amp;&amp;n.target.releasePointerCapture(n.pointerId),t.container.setPointerCapture(n.pointerId),o.has(n.pointerId)&amp;&amp;kh(&quot;[RenderWindowInteractor] duplicate pointerId detected&quot;),o.set(n.pointerId,{pointerId:n.pointerId,position:l(n)}),n.pointerType){case&quot;pen&quot;:case&quot;touch&quot;:e.handleTouchStart(n);break;default:e.handleMouseDown(n),i=n.buttons}},e.handlePointerUp=n=&gt;{if(o.has(n.pointerId))switch(t.preventDefaultOnPointerUp&amp;&amp;Hh(n),o.delete(n.pointerId),t.container.releasePointerCapture(n.pointerId),n.pointerType){case&quot;pen&quot;:case&quot;touch&quot;:e.handleTouchEnd(n);break;default:{const t=[1,4,2][n.button]??0;g({...c(n),position:l(n),deviceType:d(n)},i&amp;~t,n.buttons&amp;~t),e.handleMouseUp(n),i=n.buttons;break}}},e.handlePointerCancel=t=&gt;{if(o.has(t.pointerId))switch(o.delete(t.pointerId),t.pointerType){case&quot;pen&quot;:case&quot;touch&quot;:e.handleTouchEnd(t);break;default:g({...c(t),position:l(t),deviceType:d(t)},i,0),i=0}},e.handlePointerMove=t=&gt;{switch(o.has(t.pointerId)&amp;&amp;(o.get(t.pointerId).position=l(t)),t.pointerType){case&quot;pen&quot;:case&quot;touch&quot;:e.handleTouchMove(t);break;default:{const n=t.buttons;n!==i&amp;&amp;(g({...c(t),position:l(t),deviceType:d(t)},i,n),i=n),e.handleMouseMove(t);break}}},e.handleMouseDown=t=&gt;{const n={...c(t),position:l(t),deviceType:d(t)};switch(t.button){case 0:e.leftButtonPressEvent(n);break;case 1:e.middleButtonPressEvent(n);break;case 2:e.rightButtonPressEvent(n);break;default:Gh(`Unknown mouse button pressed: ${t.button}`)}},e.requestPointerLock=()=&gt;{t.container&amp;&amp;t.container.requestPointerLock()},e.exitPointerLock=()=&gt;document.exitPointerLock?.(),e.isPointerLocked=()=&gt;!!t.container&amp;&amp;document.pointerLockElement===t.container,e.handlePointerLockChange=()=&gt;{e.isPointerLocked()?e.startPointerLockEvent():e.endPointerLockEvent()},e.requestAnimation=n=&gt;{void 0!==n?r.has(n)?kh(&quot;requester is already registered for animating&quot;):(r.add(n),t.animationRequest||1!==r.size||t.xrAnimation||(t._animationStartTime=Date.now(),t._animationFrameCount=0,t.animationRequest=requestAnimationFrame(e.handleAnimation),e.startAnimationEvent())):Gh(&quot;undefined requester, can not start animating&quot;)},e.extendAnimation=n=&gt;{const o=Date.now()+n;t._animationExtendedEnd=Math.max(t._animationExtendedEnd,o),t.animationRequest||0!==r.size||t.xrAnimation||(t._animationStartTime=Date.now(),t._animationFrameCount=0,t.animationRequest=requestAnimationFrame(e.handleAnimation),e.startAnimationEvent())},e.isAnimating=()=&gt;t.xrAnimation||null!==t.animationRequest,e.cancelAnimation=(n,o=!1)=&gt;{if(r.has(n))r.delete(n),t.animationRequest&amp;&amp;0===r.size&amp;&amp;Date.now()&gt;t._animationExtendedEnd&amp;&amp;(cancelAnimationFrame(t.animationRequest),t.animationRequest=null,e.endAnimationEvent(),e.render());else if(!o){const e=n&amp;&amp;n.getClassName?n.getClassName():n;kh(`${e} did not request an animation`)}},e.switchToXRAnimation=()=&gt;{t.animationRequest&amp;&amp;(cancelAnimationFrame(t.animationRequest),t.animationRequest=null),t.xrAnimation=!0},e.returnFromXRAnimation=()=&gt;{t.xrAnimation=!1,0!==r.size&amp;&amp;(t.recentAnimationFrameRate=10,t.animationRequest=requestAnimationFrame(e.handleAnimation))},e.updateXRGamepads=(n,r,o)=&gt;{n.inputSources.forEach((n=&gt;{const a=null==n.gripSpace?null:r.getPose(n.gripSpace,o),i=null==n.gripSpace?null:r.getPose(n.targetRaySpace,o),s=n.gamepad,l=n.handedness;if(s){s.index in t.lastGamepadValues||(t.lastGamepadValues[s.index]={left:{buttons:{}},right:{buttons:{}},none:{buttons:{}}});for(let r=0;r&lt;s.buttons.length;++r)r in t.lastGamepadValues[s.index][l].buttons||(t.lastGamepadValues[s.index][l].buttons[r]=!1),t.lastGamepadValues[s.index][l].buttons[r]!==s.buttons[r].pressed&amp;&amp;null!=a&amp;&amp;(e.button3DEvent({gamepad:s,position:a.transform.position,orientation:a.transform.orientation,targetPosition:i.transform.position,targetOrientation:i.transform.orientation,pressed:s.buttons[r].pressed,device:&quot;left&quot;===n.handedness?Fh.LeftController:Fh.RightController,input:zh[s.mapping]&amp;&amp;zh[s.mapping][r]?zh[s.mapping][r]:Nh.Trigger}),t.lastGamepadValues[s.index][l].buttons[r]=s.buttons[r].pressed),t.lastGamepadValues[s.index][l].buttons[r]&amp;&amp;null!=a&amp;&amp;e.move3DEvent({gamepad:s,position:a.transform.position,orientation:a.transform.orientation,targetPosition:i.transform.position,targetOrientation:i.transform.orientation,device:&quot;left&quot;===n.handedness?Fh.LeftController:Fh.RightController})}}))},e.handleMouseMove=n=&gt;{const r={...c(n),position:l(n),deviceType:d(n)};0===t.moveTimeoutID?e.startMouseMoveEvent(r):(e.mouseMoveEvent(r),clearTimeout(t.moveTimeoutID)),t.moveTimeoutID=setTimeout((()=&gt;{e.endMouseMoveEvent(),t.moveTimeoutID=0}),200)},e.handleAnimation=()=&gt;{const n=Date.now();t._animationFrameCount++,n-t._animationStartTime&gt;1e3&amp;&amp;t._animationFrameCount&gt;1&amp;&amp;(t.recentAnimationFrameRate=1e3*(t._animationFrameCount-1)/(n-t._animationStartTime),t.lastFrameTime=1/t.recentAnimationFrameRate,e.animationFrameRateUpdateEvent(),t._animationStartTime=n,t._animationFrameCount=1),e.animationEvent(),m(),r.size&gt;0||Date.now()&lt;t._animationExtendedEnd?t.animationRequest=requestAnimationFrame(e.handleAnimation):(cancelAnimationFrame(t.animationRequest),t.animationRequest=null,e.endAnimationEvent(),e.render())},e.handleWheel=n=&gt;{Hh(n);const r={...Uh(n),...c(n),position:l(n),deviceType:d(n)};0===t.wheelTimeoutID&amp;&amp;(a=Math.abs(r.spinY)&gt;=.3?Math.abs(r.spinY):1),r.spinY/=a,0===t.wheelTimeoutID?(e.startMouseWheelEvent(r),e.mouseWheelEvent(r)):(e.mouseWheelEvent(r),clearTimeout(t.wheelTimeoutID)),t.mouseScrollDebounceByPass?(e.extendAnimation(600),e.endMouseWheelEvent(),t.wheelTimeoutID=0):t.wheelTimeoutID=setTimeout((()=&gt;{e.extendAnimation(600),e.endMouseWheelEvent(),t.wheelTimeoutID=0}),200)},e.handleMouseUp=t=&gt;{const n={...c(t),position:l(t),deviceType:d(t)};switch(t.button){case 0:e.leftButtonReleaseEvent(n);break;case 1:e.middleButtonReleaseEvent(n);break;case 2:e.rightButtonReleaseEvent(n);break;default:Gh(`Unknown mouse button released: ${t.button}`)}},e.handleTouchStart=n=&gt;{const r=[...o.values()];if(t.recognizeGestures&amp;&amp;r.length&gt;1){const t=jh(o);if(2===r.length){const t={...c(Kh),position:r[0].position,deviceType:d(n)};e.leftButtonReleaseEvent(t)}e.recognizeGesture(&quot;TouchStart&quot;,t)}else if(1===r.length){const t={...c(Kh),position:l(n),deviceType:d(n)};e.leftButtonPressEvent(t)}},e.handleTouchMove=n=&gt;{const r=[...o.values()];if(t.recognizeGestures&amp;&amp;r.length&gt;1){const t=jh(o);e.recognizeGesture(&quot;TouchMove&quot;,t)}else if(1===r.length){const t={...c(Kh),position:r[0].position,deviceType:d(n)};e.mouseMoveEvent(t)}},e.handleTouchEnd=n=&gt;{const r=[...o.values()];if(t.recognizeGestures)if(0===r.length){const t={...c(Kh),position:l(n),deviceType:d(n)};e.leftButtonReleaseEvent(t)}else if(1===r.length){const t=jh(o);e.recognizeGesture(&quot;TouchEnd&quot;,t);const a={...c(Kh),position:r[0].position,deviceType:d(n)};e.leftButtonPressEvent(a)}else{const t=jh(o);e.recognizeGesture(&quot;TouchMove&quot;,t)}else if(1===r.length){const t={...c(Kh),position:r[0].position,deviceType:d(n)};e.leftButtonReleaseEvent(t)}},e.setView=n=&gt;{t._view!==n&amp;&amp;(t._view=n,t._view.getRenderable().setInteractor(e),e.modified())},e.getFirstRenderer=()=&gt;t._view?.getRenderable()?.getRenderersByReference()?.[0],e.findPokedRenderer=(e=0,n=0)=&gt;{if(!t._view)return null;const r=t._view?.getRenderable()?.getRenderers();if(!r||0===r.length)return null;r.sort(((e,t)=&gt;e.getLayer()-t.getLayer()));let o=null,a=null,i=null,s=r.length;for(;s--;){const l=r[s];if(t._view.isInViewport(e,n,l)&amp;&amp;l.getInteractive()){i=l;break}null===o&amp;&amp;l.getInteractive()&amp;&amp;(o=l),null===a&amp;&amp;t._view.isInViewport(e,n,l)&amp;&amp;(a=l)}return null===i&amp;&amp;(i=o),null===i&amp;&amp;(i=a),null==i&amp;&amp;(i=r[0]),i},e.render=()=&gt;{e.isAnimating()||t.inRender||m()},Wh.forEach((n=&gt;{const r=n.charAt(0).toLowerCase()+n.slice(1);e[`${r}Event`]=r=&gt;{if(!t.enabled)return;if(!e.getCurrentRenderer())return void _h(&quot;\\n          Can not forward events without a current renderer on the interactor.\\n        &quot;);const o={type:n,pokedRenderer:t.currentRenderer,firstRenderer:e.getFirstRenderer(),...r};e[`invoke${n}`](o)}})),e.recognizeGesture=(n,r)=&gt;{if(Object.keys(r).length&gt;2)return;if(t.startingEventPositions||(t.startingEventPositions={}),&quot;TouchStart&quot;===n)return Object.keys(r).forEach((e=&gt;{t.startingEventPositions[e]=r[e]})),void(t.currentGesture=&quot;Start&quot;);if(&quot;TouchEnd&quot;===n)return&quot;Pinch&quot;===t.currentGesture&amp;&amp;(e.render(),e.endPinchEvent()),&quot;Rotate&quot;===t.currentGesture&amp;&amp;(e.render(),e.endRotateEvent()),&quot;Pan&quot;===t.currentGesture&amp;&amp;(e.render(),e.endPanEvent()),t.currentGesture=&quot;Start&quot;,void(t.startingEventPositions={});let o=0;const a=[],i=[];Object.keys(r).forEach((e=&gt;{a[o]=r[e],i[o]=t.startingEventPositions[e],o++}));const s=Math.sqrt((i[0].x-i[1].x)*(i[0].x-i[1].x)+(i[0].y-i[1].y)*(i[0].y-i[1].y)),l=Math.sqrt((a[0].x-a[1].x)*(a[0].x-a[1].x)+(a[0].y-a[1].y)*(a[0].y-a[1].y));let c=Io(Math.atan2(i[1].y-i[0].y,i[1].x-i[0].x)),u=Io(Math.atan2(a[1].y-a[0].y,a[1].x-a[0].x)),d=u-c;u=u+180&gt;=360?u-180:u+180,c=c+180&gt;=360?c-180:c+180,Math.abs(u-c)&lt;Math.abs(d)&amp;&amp;(d=u-c);const p=[];if(p[0]=(a[0].x-i[0].x+a[1].x-i[1].x)/2,p[1]=(a[0].y-i[0].y+a[1].y-i[1].y)/2,&quot;TouchMove&quot;===n)if(&quot;Start&quot;===t.currentGesture){let n=.01*Math.sqrt(t.container.clientWidth*t.container.clientWidth+t.container.clientHeight*t.container.clientHeight);n&lt;15&amp;&amp;(n=15);const o=Math.abs(l-s),a=3.1415926*l*Math.abs(d)/360,i=Math.sqrt(p[0]*p[0]+p[1]*p[1]);if(o&gt;n&amp;&amp;o&gt;a&amp;&amp;o&gt;i){t.currentGesture=&quot;Pinch&quot;;const n={scale:1,touches:r};e.startPinchEvent(n)}else if(a&gt;n&amp;&amp;a&gt;i){t.currentGesture=&quot;Rotate&quot;;const n={rotation:0,touches:r};e.startRotateEvent(n)}else if(i&gt;n){t.currentGesture=&quot;Pan&quot;;const n={translation:[0,0],touches:r};e.startPanEvent(n)}}else{if(&quot;Rotate&quot;===t.currentGesture){const t={rotation:d,touches:r};e.rotateEvent(t)}if(&quot;Pinch&quot;===t.currentGesture){const t={scale:l/s,touches:r};e.pinchEvent(t)}if(&quot;Pan&quot;===t.currentGesture){const t={translation:p,touches:r};e.panEvent(t)}}},e.handleVisibilityChange=()=&gt;{t._animationStartTime=Date.now(),t._animationFrameCount=0},e.setCurrentRenderer=e=&gt;{t._forcedRenderer=!!e,t.currentRenderer=e},e.setContainer=e=&gt;{f();const t=n.setContainer(e??null);return t&amp;&amp;p(),t},e.delete=()=&gt;{for(;r.size;)e.cancelAnimation(r.values().next().value);void 0!==document.hidden&amp;&amp;document.removeEventListener(&quot;visibilitychange&quot;,e.handleVisibilityChange),t.container&amp;&amp;e.setContainer(null),n.delete()},void 0!==document.hidden&amp;&amp;document.addEventListener(&quot;visibilitychange&quot;,e.handleVisibilityChange,!1)}(e,t)}var Yh={newInstance:sn.newInstance(qh,&quot;vtkRenderWindowInteractor&quot;),extend:qh,handledEvents:Wh,...Bh};const{vtkErrorMacro:Jh,VOID:Zh}=sn;const Qh={computeWorldToDisplay:function(e,t,n,r){return e.getRenderWindow().getViews()[0].worldToDisplay(t,n,r,e)},computeDisplayToWorld:function(e,t,n,r){return e.getRenderWindow().getViews()[0].displayToWorld(t,n,r,e)}};const $h={enabled:!0,priority:0,processEvents:!0,subscribedEvents:[]};function ev(e,t,n={}){Object.assign(t,$h,n),sn.obj(e,t),sn.event(e,t,&quot;InteractionEvent&quot;),sn.event(e,t,&quot;StartInteractionEvent&quot;),sn.event(e,t,&quot;EndInteractionEvent&quot;),sn.get(e,t,[&quot;_interactor&quot;,&quot;enabled&quot;]),sn.setGet(e,t,[&quot;priority&quot;,&quot;processEvents&quot;]),sn.moveToProtected(e,t,[&quot;interactor&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkInteractorObserver&quot;);const n={...e};function r(){for(;t.subscribedEvents.length;)t.subscribedEvents.pop().unsubscribe()}function o(){Yh.handledEvents.forEach((n=&gt;{e[`handle${n}`]&amp;&amp;t.subscribedEvents.push(t._interactor[`on${n}`]((r=&gt;t.processEvents?e[`handle${n}`](r):Zh),t.priority))}))}e.setInteractor=n=&gt;{n!==t._interactor&amp;&amp;(r(),t._interactor=n,n&amp;&amp;t.enabled&amp;&amp;o(),e.modified())},e.setEnabled=n=&gt;{n!==t.enabled&amp;&amp;(r(),n&amp;&amp;(t._interactor?o():Jh(&quot;\\n          The interactor must be set before subscribing to events\\n        &quot;)),t.enabled=n,e.modified())},e.computeDisplayToWorld=(e,n,r,o)=&gt;e?t._interactor.getView().displayToWorld(n,r,o,e):null,e.computeWorldToDisplay=(e,n,r,o)=&gt;e?t._interactor.getView().worldToDisplay(n,r,o,e):null,e.setPriority=e=&gt;{n.setPriority(e)&amp;&amp;t._interactor&amp;&amp;(r(),o())}}(e,t)}var tv={newInstance:sn.newInstance(ev,&quot;vtkInteractorObserver&quot;),extend:ev,...Qh};var nv={States:{IS_START:0,IS_NONE:0,IS_ROTATE:1,IS_PAN:2,IS_SPIN:3,IS_DOLLY:4,IS_CAMERA_POSE:11,IS_WINDOW_LEVEL:1024,IS_SLICE:1025}};const{States:rv}=nv,ov={Rotate:rv.IS_ROTATE,Pan:rv.IS_PAN,Spin:rv.IS_SPIN,Dolly:rv.IS_DOLLY,CameraPose:rv.IS_CAMERA_POSE,WindowLevel:rv.IS_WINDOW_LEVEL,Slice:rv.IS_SLICE};const av={state:rv.IS_NONE,handleObservers:1,autoAdjustCameraClippingRange:1};function iv(e,t,n={}){Object.assign(t,av,n),tv.extend(e,t,n),sn.setGet(e,t,[&quot;focusedRenderer&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkInteractorStyle&quot;),Object.keys(ov).forEach((n=&gt;{sn.event(e,t,`Start${n}Event`),e[`start${n}`]=()=&gt;{t.state===rv.IS_NONE&amp;&amp;(t.state=ov[n],t._interactor.requestAnimation(e),e.invokeStartInteractionEvent({type:&quot;StartInteractionEvent&quot;}),e[`invokeStart${n}Event`]({type:`Start${n}Event`}))},sn.event(e,t,`End${n}Event`),e[`end${n}`]=()=&gt;{t.state===ov[n]&amp;&amp;(t.state=rv.IS_NONE,t._interactor.cancelAnimation(e),e.invokeEndInteractionEvent({type:&quot;EndInteractionEvent&quot;}),e[`invokeEnd${n}Event`]({type:`End${n}Event`}),t._interactor.render())}})),t.getRenderer=e=&gt;t.focusedRenderer||e.pokedRenderer,e.handleKeyPress=e=&gt;{const n=t._interactor;let r=null;switch(e.key){case&quot;r&quot;:case&quot;R&quot;:t.getRenderer(e).resetCamera(),n.render();break;case&quot;w&quot;:case&quot;W&quot;:r=t.getRenderer(e).getActors(),r.forEach((e=&gt;{const t=e.getProperty();t.setRepresentationToWireframe&amp;&amp;t.setRepresentationToWireframe()})),n.render();break;case&quot;s&quot;:case&quot;S&quot;:r=t.getRenderer(e).getActors(),r.forEach((e=&gt;{const t=e.getProperty();t.setRepresentationToSurface&amp;&amp;t.setRepresentationToSurface()})),n.render();break;case&quot;v&quot;:case&quot;V&quot;:r=t.getRenderer(e).getActors(),r.forEach((e=&gt;{const t=e.getProperty();t.setRepresentationToPoints&amp;&amp;t.setRepresentationToPoints()})),n.render()}}}(e,t)}var sv={newInstance:sn.newInstance(iv,&quot;vtkInteractorStyle&quot;),extend:iv,...nv};const{States:lv}=nv;const cv={motionFactor:10,zoomFactor:10};function uv(e,t,n={}){Object.assign(t,cv,n),sv.extend(e,t,n),sn.setGet(e,t,[&quot;motionFactor&quot;,&quot;zoomFactor&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkInteractorStyleTrackballCamera&quot;),e.handleMouseMove=n=&gt;{const r=n.position,o=t.getRenderer(n);switch(t.state){case lv.IS_ROTATE:e.handleMouseRotate(o,r),e.invokeInteractionEvent({type:&quot;InteractionEvent&quot;});break;case lv.IS_PAN:e.handleMousePan(o,r),e.invokeInteractionEvent({type:&quot;InteractionEvent&quot;});break;case lv.IS_DOLLY:e.handleMouseDolly(o,r),e.invokeInteractionEvent({type:&quot;InteractionEvent&quot;});break;case lv.IS_SPIN:e.handleMouseSpin(o,r),e.invokeInteractionEvent({type:&quot;InteractionEvent&quot;})}t.previousPosition=r},e.handleButton3D=n=&gt;{!n||!n.pressed||n.device!==Vh.RightController||n.input!==Lh.Trigger&amp;&amp;n.input!==Lh.TrackPad?!n||n.pressed||n.device!==Vh.RightController||n.input!==Lh.Trigger&amp;&amp;n.input!==Lh.TrackPad||t.state!==lv.IS_CAMERA_POSE||e.endCameraPose():e.startCameraPose()},e.handleMove3D=n=&gt;{t.state===lv.IS_CAMERA_POSE&amp;&amp;e.updateCameraPose(n)},e.updateCameraPose=e=&gt;{const n=t.getRenderer(e).getActiveCamera(),r=n.getPhysicalTranslation(),o=.025*n.getPhysicalScale(),a=n.physicalOrientationToWorldDirection([e.orientation.x,e.orientation.y,e.orientation.z,e.orientation.w]);n.setPhysicalTranslation(r[0]+a[0]*o,r[1]+a[1]*o,r[2]+a[2]*o)},e.handleLeftButtonPress=n=&gt;{const r=n.position;t.previousPosition=r,n.shiftKey?n.controlKey||n.altKey?e.startDolly():e.startPan():n.controlKey||n.altKey?e.startSpin():e.startRotate()},e.handleLeftButtonRelease=()=&gt;{switch(t.state){case lv.IS_DOLLY:e.endDolly();break;case lv.IS_PAN:e.endPan();break;case lv.IS_SPIN:e.endSpin();break;case lv.IS_ROTATE:e.endRotate()}},e.handleStartMouseWheel=()=&gt;{e.startDolly()},e.handleEndMouseWheel=()=&gt;{e.endDolly()},e.handleStartPinch=n=&gt;{t.previousScale=n.scale,e.startDolly()},e.handleEndPinch=()=&gt;{e.endDolly()},e.handleStartRotate=n=&gt;{t.previousRotation=n.rotation,e.startRotate()},e.handleEndRotate=()=&gt;{e.endRotate()},e.handleStartPan=n=&gt;{t.previousTranslation=n.translation,e.startPan()},e.handleEndPan=()=&gt;{e.endPan()},e.handlePinch=n=&gt;{e.dollyByFactor(t.getRenderer(n),n.scale/t.previousScale),t.previousScale=n.scale},e.handlePan=n=&gt;{const r=t.getRenderer(n).getActiveCamera();let o=r.getFocalPoint();o=e.computeWorldToDisplay(t.getRenderer(n),o[0],o[1],o[2]);const a=o[2],i=n.translation,s=t.previousTranslation,l=e.computeDisplayToWorld(t.getRenderer(n),o[0]+i[0]-s[0],o[1]+i[1]-s[1],a),c=e.computeDisplayToWorld(t.getRenderer(n),o[0],o[1],a),u=[];u[0]=c[0]-l[0],u[1]=c[1]-l[1],u[2]=c[2]-l[2],o=r.getFocalPoint();const d=r.getPosition();r.setFocalPoint(u[0]+o[0],u[1]+o[1],u[2]+o[2]),r.setPosition(u[0]+d[0],u[1]+d[1],u[2]+d[2]),t._interactor.getLightFollowCamera()&amp;&amp;t.getRenderer(n).updateLightsGeometryToFollowCamera(),r.orthogonalizeViewUp(),t.previousTranslation=n.translation},e.handleRotate=e=&gt;{const n=t.getRenderer(e).getActiveCamera();n.roll(e.rotation-t.previousRotation),n.orthogonalizeViewUp(),t.previousRotation=e.rotation},e.handleMouseRotate=(e,n)=&gt;{if(!t.previousPosition)return;const r=t._interactor,o=n.x-t.previousPosition.x,a=n.y-t.previousPosition.y,i=r.getView().getViewportSize(e);let s=-.1,l=-.1;i[0]&amp;&amp;i[1]&amp;&amp;(s=-20/i[1],l=-20/i[0]);const c=o*l*t.motionFactor,u=a*s*t.motionFactor,d=e.getActiveCamera();Number.isNaN(c)||Number.isNaN(u)||(d.azimuth(c),d.elevation(u),d.orthogonalizeViewUp()),t.autoAdjustCameraClippingRange&amp;&amp;e.resetCameraClippingRange(),r.getLightFollowCamera()&amp;&amp;e.updateLightsGeometryToFollowCamera()},e.handleMouseSpin=(e,n)=&gt;{if(!t.previousPosition)return;const r=t._interactor,o=e.getActiveCamera(),a=r.getView().getViewportCenter(e),i=Io(Math.atan2(t.previousPosition.y-a[1],t.previousPosition.x-a[0])),s=Io(Math.atan2(n.y-a[1],n.x-a[0]))-i;Number.isNaN(s)||(o.roll(s),o.orthogonalizeViewUp())},e.handleMousePan=(n,r)=&gt;{if(!t.previousPosition)return;const o=n.getActiveCamera();let a=o.getFocalPoint();a=e.computeWorldToDisplay(n,a[0],a[1],a[2]);const i=a[2],s=e.computeDisplayToWorld(n,r.x,r.y,i),l=e.computeDisplayToWorld(n,t.previousPosition.x,t.previousPosition.y,i),c=[];c[0]=l[0]-s[0],c[1]=l[1]-s[1],c[2]=l[2]-s[2],a=o.getFocalPoint();const u=o.getPosition();o.setFocalPoint(c[0]+a[0],c[1]+a[1],c[2]+a[2]),o.setPosition(c[0]+u[0],c[1]+u[1],c[2]+u[2]),t._interactor.getLightFollowCamera()&amp;&amp;n.updateLightsGeometryToFollowCamera()},e.handleMouseDolly=(n,r)=&gt;{if(!t.previousPosition)return;const o=r.y-t.previousPosition.y,a=t._interactor.getView().getViewportCenter(n),i=t.motionFactor*o/a[1];e.dollyByFactor(n,1.1**i)},e.handleMouseWheel=n=&gt;{const r=1-n.spinY/t.zoomFactor;e.dollyByFactor(t.getRenderer(n),r)},e.dollyByFactor=(e,n)=&gt;{if(Number.isNaN(n))return;const r=e.getActiveCamera();r.getParallelProjection()?r.setParallelScale(r.getParallelScale()/n):(r.dolly(n),t.autoAdjustCameraClippingRange&amp;&amp;e.resetCameraClippingRange()),t._interactor.getLightFollowCamera()&amp;&amp;e.updateLightsGeometryToFollowCamera()}}(e,t)}var dv={newInstance:sn.newInstance(uv,&quot;vtkInteractorStyleTrackballCamera&quot;),extend:uv};function pv(e){return e}function fv(e){return null===e||&quot;null&quot;===e?null:&quot;true&quot;===e||&quot;false&quot;!==e&amp;&amp;(void 0!==e&amp;&amp;&quot;undefined&quot;!==e?&quot;[&quot;===e[0]&amp;&amp;&quot;]&quot;===e[e.length-1]?e.substring(1,e.length-1).split(&quot;,&quot;).map((e=&gt;fv(e.trim()))):&quot;&quot;===e||Number.isNaN(Number(e))?e:Number(e):void 0)}var gv={toNativeType:fv,extractURLParameters:function(e=!0,t=window.location.search){const n={},r=e?fv:pv;return new URLSearchParams(t).forEach(((e,t)=&gt;{t&amp;&amp;(n[t]=!e||r(e))})),n}};const mv={delegates:[],currentOperation:null,preDelegateOperations:[],postDelegateOperations:[],currentParent:null};function hv(e,t,n={}){Object.assign(t,mv,n),sn.obj(e,t),sn.get(e,t,[&quot;currentOperation&quot;]),sn.setGet(e,t,[&quot;delegates&quot;,&quot;_currentParent&quot;,&quot;preDelegateOperations&quot;,&quot;postDelegateOperations&quot;]),sn.moveToProtected(e,t,[&quot;currentParent&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkRenderPass&quot;),e.getOperation=()=&gt;t.currentOperation,e.setCurrentOperation=e=&gt;{t.currentOperation=e,t.currentTraverseOperation=`traverse${sn.capitalize(t.currentOperation)}`},e.getTraverseOperation=()=&gt;t.currentTraverseOperation,e.traverse=(n,r=null)=&gt;{t.deleted||(t._currentParent=r,t.preDelegateOperations.forEach((t=&gt;{e.setCurrentOperation(t),n.traverse(e)})),t.delegates.forEach((t=&gt;{t.traverse(n,e)})),t.postDelegateOperations.forEach((t=&gt;{e.setCurrentOperation(t),n.traverse(e)})))}}(e,t)}var vv={newInstance:sn.newInstance(hv,&quot;vtkRenderPass&quot;),extend:hv};const{Representation:Tv}=us,{vtkErrorMacro:xv}=sn;function yv(e){const t=vd.substitute(e.Fragment,&quot;//VTK::RenderPassFragmentShader::Impl&quot;,&quot;\\n      float weight = gl_FragData[0].a * pow(max(1.1 - gl_FragCoord.z, 0.0), 2.0);\\n      gl_FragData[0] = vec4(gl_FragData[0].rgb*weight, gl_FragData[0].a);\\n      gl_FragData[1].r = weight;\\n    &quot;,!1);e.Fragment=t.result}const bv={framebuffer:null,copyShader:null,tris:null};function Av(e,t,n={}){Object.assign(t,bv,n),vv.extend(e,t,n),t.VBOBuildTime={},sn.obj(t.VBOBuildTime,{mtime:0}),t.tris=Sd.newInstance(),sn.get(e,t,[&quot;framebuffer&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkOpenGLOrderIndependentTranslucentPass&quot;),e.createVertexBuffer=()=&gt;{const e=new Float32Array([-1,-1,-1,1,-1,-1,-1,1,-1,1,1,-1]),n=new Float32Array([0,0,1,0,0,1,1,1]),r=new Uint16Array([4,0,1,3,2]),o=Is.newInstance({numberOfComponents:3,values:e});o.setName(&quot;points&quot;);const a=Is.newInstance({numberOfComponents:2,values:n});a.setName(&quot;tcoords&quot;);const i=Is.newInstance({numberOfComponents:1,values:r});t.tris.getCABO().createVBO(i,&quot;polys&quot;,Tv.SURFACE,{points:o,tcoords:a,cellOffset:0}),t.VBOBuildTime.modified()},e.createFramebuffer=e=&gt;{const n=e.getSize(),r=e.getContext();t.framebuffer=Gp.newInstance(),t.framebuffer.setOpenGLRenderWindow(e),t.framebuffer.create(...n),t.framebuffer.saveCurrentBindingsAndBuffers(),t.framebuffer.bind(),t.translucentRGBATexture=Hd.newInstance(),t.translucentRGBATexture.setInternalFormat(r.RGBA16F),t.translucentRGBATexture.setFormat(r.RGBA),t.translucentRGBATexture.setOpenGLDataType(r.HALF_FLOAT),t.translucentRGBATexture.setOpenGLRenderWindow(e),t.translucentRGBATexture.create2DFromRaw({width:n[0],height:n[1],numComps:4,dataType:&quot;Float32Array&quot;,data:null}),t.translucentRTexture=Hd.newInstance(),t.translucentRTexture.setInternalFormat(r.R16F),t.translucentRTexture.setFormat(r.RED),t.translucentRTexture.setOpenGLDataType(r.HALF_FLOAT),t.translucentRTexture.setOpenGLRenderWindow(e),t.translucentRTexture.create2DFromRaw({width:n[0],height:n[1],numComps:1,dataType:&quot;Float32Array&quot;,data:null}),t.translucentZTexture=Hd.newInstance(),t.translucentZTexture.setOpenGLRenderWindow(e),t.translucentZTexture.createDepthFromRaw({width:n[0],height:n[1],dataType:&quot;Float32Array&quot;,data:null}),t.framebuffer.setColorBuffer(t.translucentRGBATexture,0),t.framebuffer.setColorBuffer(t.translucentRTexture,1),t.framebuffer.setDepthBuffer(t.translucentZTexture)},e.createCopyShader=e=&gt;{t.copyShader=e.getShaderCache().readyShaderProgramArray([&quot;//VTK::System::Dec&quot;,&quot;attribute vec4 vertexDC;&quot;,&quot;attribute vec2 tcoordTC;&quot;,&quot;varying vec2 tcoord;&quot;,&quot;void main() { tcoord = tcoordTC; gl_Position = vertexDC; }&quot;].join(&quot;\\n&quot;),&quot;//VTK::System::Dec\\n\\nin vec2 tcoord;\\n\\nuniform sampler2D translucentRTexture;\\nuniform sampler2D translucentRGBATexture;\\n\\n// the output of this shader\\n//VTK::Output::Dec\\n\\nvoid main()\\n{\\n  vec4 t1Color = texture(translucentRGBATexture, tcoord);\\n  float t2Color = texture(translucentRTexture, tcoord).r;\\n  gl_FragData[0] = vec4(t1Color.rgb/max(t2Color,0.01), 1.0 - t1Color.a);\\n}\\n&quot;,&quot;&quot;)},e.createVBO=n=&gt;{const r=n.getContext();t.tris.setOpenGLRenderWindow(n),e.createVertexBuffer();const o=t.copyShader;t.tris.getCABO().bind(),t.copyVAO.addAttributeArray(o,t.tris.getCABO(),&quot;vertexDC&quot;,t.tris.getCABO().getVertexOffset(),t.tris.getCABO().getStride(),r.FLOAT,3,r.FALSE)||xv(&quot;Error setting vertexDC in copy shader VAO.&quot;),t.copyVAO.addAttributeArray(o,t.tris.getCABO(),&quot;tcoordTC&quot;,t.tris.getCABO().getTCoordOffset(),t.tris.getCABO().getStride(),r.FLOAT,2,r.FALSE)||xv(&quot;Error setting vertexDC in copy shader VAO.&quot;)},e.traverse=(n,r,o)=&gt;{if(t.deleted)return;const a=n.getSize(),i=n.getContext();if(t._supported=!1,r.getSelector()||!i||!n.getWebgl2()||!i.getExtension(&quot;EXT_color_buffer_half_float&quot;)&amp;&amp;!i.getExtension(&quot;EXT_color_buffer_float&quot;))return e.setCurrentOperation(&quot;translucentPass&quot;),void r.traverse(e);if(t._supported=!0,null===t.framebuffer)e.createFramebuffer(n);else{const r=t.framebuffer.getSize();null===r||r[0]!==a[0]||r[1]!==a[1]?(t.framebuffer.releaseGraphicsResources(),t.translucentRGBATexture.releaseGraphicsResources(n),t.translucentRTexture.releaseGraphicsResources(n),t.translucentZTexture.releaseGraphicsResources(n),e.createFramebuffer(n)):(t.framebuffer.saveCurrentBindingsAndBuffers(),t.framebuffer.bind())}i.drawBuffers([i.COLOR_ATTACHMENT0]),i.clearBufferfv(i.COLOR,0,[0,0,0,0]),i.clearBufferfv(i.DEPTH,0,[1]),i.colorMask(!1,!1,!1,!1),o.getOpaqueActorCount()&gt;0&amp;&amp;(o.setCurrentOperation(&quot;opaqueZBufferPass&quot;),r.traverse(o)),i.colorMask(!0,!0,!0,!0),i.drawBuffers([i.COLOR_ATTACHMENT0,i.COLOR_ATTACHMENT1]),i.viewport(0,0,a[0],a[1]),i.scissor(0,0,a[0],a[1]),i.clearBufferfv(i.COLOR,0,[0,0,0,1]),i.clearBufferfv(i.COLOR,1,[0,0,0,0]),i.enable(i.DEPTH_TEST),i.enable(i.BLEND),i.blendFuncSeparate(i.ONE,i.ONE,i.ZERO,i.ONE_MINUS_SRC_ALPHA),e.setCurrentOperation(&quot;translucentPass&quot;),r.traverse(e),i.drawBuffers([i.NONE]),t.framebuffer.restorePreviousBindingsAndBuffers(),null===t.copyShader?e.createCopyShader(n):n.getShaderCache().readyShaderProgram(t.copyShader),t.copyVAO||(t.copyVAO=yd.newInstance(),t.copyVAO.setOpenGLRenderWindow(n)),t.copyVAO.bind(),t.VBOBuildTime.getMTime()&lt;e.getMTime()&amp;&amp;e.createVBO(n),i.blendFuncSeparate(i.SRC_ALPHA,i.ONE_MINUS_SRC_ALPHA,i.ONE,i.ONE_MINUS_SRC_ALPHA),i.depthMask(!1),i.depthFunc(i.ALWAYS),i.viewport(0,0,a[0],a[1]),i.scissor(0,0,a[0],a[1]),t.translucentRGBATexture.activate(),t.copyShader.setUniformi(&quot;translucentRGBATexture&quot;,t.translucentRGBATexture.getTextureUnit()),t.translucentRTexture.activate(),t.copyShader.setUniformi(&quot;translucentRTexture&quot;,t.translucentRTexture.getTextureUnit()),i.drawArrays(i.TRIANGLES,0,t.tris.getCABO().getElementCount()),i.depthMask(!0),i.depthFunc(i.LEQUAL),t.translucentRGBATexture.deactivate(),t.translucentRTexture.deactivate();const s=r.getTiledSizeAndOrigin();i.scissor(s.lowerLeftU,s.lowerLeftV,s.usize,s.vsize),i.viewport(s.lowerLeftU,s.lowerLeftV,s.usize,s.vsize)},e.getShaderReplacement=()=&gt;t._supported?yv:null,e.releaseGraphicsResources=n=&gt;{t.framebuffer&amp;&amp;(t.framebuffer.releaseGraphicsResources(n),t.framebuffer=null),t.translucentRGBATexture&amp;&amp;(t.translucentRGBATexture.releaseGraphicsResources(n),t.translucentRGBATexture=null),t.translucentRTexture&amp;&amp;(t.translucentRTexture.releaseGraphicsResources(n),t.translucentRTexture=null),t.translucentZTexture&amp;&amp;(t.translucentZTexture.releaseGraphicsResources(n),t.translucentZTexture=null),t.copyVAO&amp;&amp;(t.copyVAO.releaseGraphicsResources(n),t.copyVAO=null),t.copyShader&amp;&amp;(t.copyShader.releaseGraphicsResources(n),t.copyShader=null),t.tris&amp;&amp;(t.tris.releaseGraphicsResources(n),t.tris=null),e.modified()}}(e,t)}var Cv={newInstance:sn.newInstance(Av,&quot;vtkOpenGLOrderIndependentTranslucentPass&quot;),extend:Av};const Sv={opaqueActorCount:0,translucentActorCount:0,volumeCount:0,overlayActorCount:0,framebuffer:null,depthRequested:!1};function Pv(e,t,n={}){Object.assign(t,Sv,n),vv.extend(e,t,n),sn.get(e,t,[&quot;framebuffer&quot;,&quot;opaqueActorCount&quot;,&quot;translucentActorCount&quot;,&quot;volumeCount&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkForwardPass&quot;),e.traverse=(n,r=null)=&gt;{if(t.deleted)return;t._currentParent=r,e.setCurrentOperation(&quot;buildPass&quot;),n.traverse(e);const o=n.getRenderable().getNumberOfLayers(),a=n.getRenderable().getRenderersByReference();for(let r=0;r&lt;o;r++)for(let o=0;o&lt;a.length;o++){const i=a[o],s=n.getViewNodeFor(i);if(i.getDraw()&amp;&amp;i.getLayer()===r){if(t.opaqueActorCount=0,t.translucentActorCount=0,t.volumeCount=0,t.overlayActorCount=0,e.setCurrentOperation(&quot;queryPass&quot;),s.traverse(e),(t.opaqueActorCount&gt;0||t.translucentActorCount&gt;0)&amp;&amp;t.volumeCount&gt;0||t.depthRequested){const r=n.getFramebufferSize();null===t.framebuffer&amp;&amp;(t.framebuffer=Gp.newInstance()),t.framebuffer.setOpenGLRenderWindow(n),t.framebuffer.saveCurrentBindingsAndBuffers();const o=t.framebuffer.getSize();null!==o&amp;&amp;o[0]===r[0]&amp;&amp;o[1]===r[1]||(t.framebuffer.create(r[0],r[1]),t.framebuffer.populateFramebuffer()),t.framebuffer.bind(),e.setCurrentOperation(&quot;zBufferPass&quot;),s.traverse(e),t.framebuffer.restorePreviousBindingsAndBuffers(),t.depthRequested=!1}e.setCurrentOperation(&quot;cameraPass&quot;),s.traverse(e),t.opaqueActorCount&gt;0&amp;&amp;(e.setCurrentOperation(&quot;opaquePass&quot;),s.traverse(e)),t.translucentActorCount&gt;0&amp;&amp;(t.translucentPass||(t.translucentPass=Cv.newInstance()),t.translucentPass.traverse(n,s,e)),t.volumeCount&gt;0&amp;&amp;(e.setCurrentOperation(&quot;volumePass&quot;),s.traverse(e)),t.overlayActorCount&gt;0&amp;&amp;(e.setCurrentOperation(&quot;overlayPass&quot;),s.traverse(e))}}},e.getZBufferTexture=()=&gt;t.framebuffer?t.framebuffer.getColorTexture():null,e.requestDepth=()=&gt;{t.depthRequested=!0},e.incrementOpaqueActorCount=()=&gt;t.opaqueActorCount++,e.incrementTranslucentActorCount=()=&gt;t.translucentActorCount++,e.incrementVolumeCount=()=&gt;t.volumeCount++,e.incrementOverlayActorCount=()=&gt;t.overlayActorCount++}(e,t)}var wv={newInstance:sn.newInstance(Pv,&quot;vtkForwardPass&quot;),extend:Pv},Iv={exports:{}};!function(e){e.exports=function(e){var t=[&quot;0&quot;,&quot;1&quot;,&quot;2&quot;,&quot;3&quot;,&quot;4&quot;,&quot;5&quot;,&quot;6&quot;,&quot;7&quot;,&quot;8&quot;,&quot;9&quot;,&quot;a&quot;,&quot;b&quot;,&quot;c&quot;,&quot;d&quot;,&quot;e&quot;,&quot;f&quot;];function n(e,t){var n=e[0],r=e[1],o=e[2],a=e[3];r=((r+=((o=((o+=((a=((a+=((n=((n+=(r&amp;o|~r&amp;a)+t[0]-680876936|0)&lt;&lt;7|n&gt;&gt;&gt;25)+r|0)&amp;r|~n&amp;o)+t[1]-389564586|0)&lt;&lt;12|a&gt;&gt;&gt;20)+n|0)&amp;n|~a&amp;r)+t[2]+606105819|0)&lt;&lt;17|o&gt;&gt;&gt;15)+a|0)&amp;a|~o&amp;n)+t[3]-1044525330|0)&lt;&lt;22|r&gt;&gt;&gt;10)+o|0,r=((r+=((o=((o+=((a=((a+=((n=((n+=(r&amp;o|~r&amp;a)+t[4]-176418897|0)&lt;&lt;7|n&gt;&gt;&gt;25)+r|0)&amp;r|~n&amp;o)+t[5]+1200080426|0)&lt;&lt;12|a&gt;&gt;&gt;20)+n|0)&amp;n|~a&amp;r)+t[6]-1473231341|0)&lt;&lt;17|o&gt;&gt;&gt;15)+a|0)&amp;a|~o&amp;n)+t[7]-45705983|0)&lt;&lt;22|r&gt;&gt;&gt;10)+o|0,r=((r+=((o=((o+=((a=((a+=((n=((n+=(r&amp;o|~r&amp;a)+t[8]+1770035416|0)&lt;&lt;7|n&gt;&gt;&gt;25)+r|0)&amp;r|~n&amp;o)+t[9]-1958414417|0)&lt;&lt;12|a&gt;&gt;&gt;20)+n|0)&amp;n|~a&amp;r)+t[10]-42063|0)&lt;&lt;17|o&gt;&gt;&gt;15)+a|0)&amp;a|~o&amp;n)+t[11]-1990404162|0)&lt;&lt;22|r&gt;&gt;&gt;10)+o|0,r=((r+=((o=((o+=((a=((a+=((n=((n+=(r&amp;o|~r&amp;a)+t[12]+1804603682|0)&lt;&lt;7|n&gt;&gt;&gt;25)+r|0)&amp;r|~n&amp;o)+t[13]-40341101|0)&lt;&lt;12|a&gt;&gt;&gt;20)+n|0)&amp;n|~a&amp;r)+t[14]-1502002290|0)&lt;&lt;17|o&gt;&gt;&gt;15)+a|0)&amp;a|~o&amp;n)+t[15]+1236535329|0)&lt;&lt;22|r&gt;&gt;&gt;10)+o|0,r=((r+=((o=((o+=((a=((a+=((n=((n+=(r&amp;a|o&amp;~a)+t[1]-165796510|0)&lt;&lt;5|n&gt;&gt;&gt;27)+r|0)&amp;o|r&amp;~o)+t[6]-1069501632|0)&lt;&lt;9|a&gt;&gt;&gt;23)+n|0)&amp;r|n&amp;~r)+t[11]+643717713|0)&lt;&lt;14|o&gt;&gt;&gt;18)+a|0)&amp;n|a&amp;~n)+t[0]-373897302|0)&lt;&lt;20|r&gt;&gt;&gt;12)+o|0,r=((r+=((o=((o+=((a=((a+=((n=((n+=(r&amp;a|o&amp;~a)+t[5]-701558691|0)&lt;&lt;5|n&gt;&gt;&gt;27)+r|0)&amp;o|r&amp;~o)+t[10]+38016083|0)&lt;&lt;9|a&gt;&gt;&gt;23)+n|0)&amp;r|n&amp;~r)+t[15]-660478335|0)&lt;&lt;14|o&gt;&gt;&gt;18)+a|0)&amp;n|a&amp;~n)+t[4]-405537848|0)&lt;&lt;20|r&gt;&gt;&gt;12)+o|0,r=((r+=((o=((o+=((a=((a+=((n=((n+=(r&amp;a|o&amp;~a)+t[9]+568446438|0)&lt;&lt;5|n&gt;&gt;&gt;27)+r|0)&amp;o|r&amp;~o)+t[14]-1019803690|0)&lt;&lt;9|a&gt;&gt;&gt;23)+n|0)&amp;r|n&amp;~r)+t[3]-187363961|0)&lt;&lt;14|o&gt;&gt;&gt;18)+a|0)&amp;n|a&amp;~n)+t[8]+1163531501|0)&lt;&lt;20|r&gt;&gt;&gt;12)+o|0,r=((r+=((o=((o+=((a=((a+=((n=((n+=(r&amp;a|o&amp;~a)+t[13]-1444681467|0)&lt;&lt;5|n&gt;&gt;&gt;27)+r|0)&amp;o|r&amp;~o)+t[2]-51403784|0)&lt;&lt;9|a&gt;&gt;&gt;23)+n|0)&amp;r|n&amp;~r)+t[7]+1735328473|0)&lt;&lt;14|o&gt;&gt;&gt;18)+a|0)&amp;n|a&amp;~n)+t[12]-1926607734|0)&lt;&lt;20|r&gt;&gt;&gt;12)+o|0,r=((r+=((o=((o+=((a=((a+=((n=((n+=(r^o^a)+t[5]-378558|0)&lt;&lt;4|n&gt;&gt;&gt;28)+r|0)^r^o)+t[8]-2022574463|0)&lt;&lt;11|a&gt;&gt;&gt;21)+n|0)^n^r)+t[11]+1839030562|0)&lt;&lt;16|o&gt;&gt;&gt;16)+a|0)^a^n)+t[14]-35309556|0)&lt;&lt;23|r&gt;&gt;&gt;9)+o|0,r=((r+=((o=((o+=((a=((a+=((n=((n+=(r^o^a)+t[1]-1530992060|0)&lt;&lt;4|n&gt;&gt;&gt;28)+r|0)^r^o)+t[4]+1272893353|0)&lt;&lt;11|a&gt;&gt;&gt;21)+n|0)^n^r)+t[7]-155497632|0)&lt;&lt;16|o&gt;&gt;&gt;16)+a|0)^a^n)+t[10]-1094730640|0)&lt;&lt;23|r&gt;&gt;&gt;9)+o|0,r=((r+=((o=((o+=((a=((a+=((n=((n+=(r^o^a)+t[13]+681279174|0)&lt;&lt;4|n&gt;&gt;&gt;28)+r|0)^r^o)+t[0]-358537222|0)&lt;&lt;11|a&gt;&gt;&gt;21)+n|0)^n^r)+t[3]-722521979|0)&lt;&lt;16|o&gt;&gt;&gt;16)+a|0)^a^n)+t[6]+76029189|0)&lt;&lt;23|r&gt;&gt;&gt;9)+o|0,r=((r+=((o=((o+=((a=((a+=((n=((n+=(r^o^a)+t[9]-640364487|0)&lt;&lt;4|n&gt;&gt;&gt;28)+r|0)^r^o)+t[12]-421815835|0)&lt;&lt;11|a&gt;&gt;&gt;21)+n|0)^n^r)+t[15]+530742520|0)&lt;&lt;16|o&gt;&gt;&gt;16)+a|0)^a^n)+t[2]-995338651|0)&lt;&lt;23|r&gt;&gt;&gt;9)+o|0,r=((r+=((a=((a+=(r^((n=((n+=(o^(r|~a))+t[0]-198630844|0)&lt;&lt;6|n&gt;&gt;&gt;26)+r|0)|~o))+t[7]+1126891415|0)&lt;&lt;10|a&gt;&gt;&gt;22)+n|0)^((o=((o+=(n^(a|~r))+t[14]-1416354905|0)&lt;&lt;15|o&gt;&gt;&gt;17)+a|0)|~n))+t[5]-57434055|0)&lt;&lt;21|r&gt;&gt;&gt;11)+o|0,r=((r+=((a=((a+=(r^((n=((n+=(o^(r|~a))+t[12]+1700485571|0)&lt;&lt;6|n&gt;&gt;&gt;26)+r|0)|~o))+t[3]-1894986606|0)&lt;&lt;10|a&gt;&gt;&gt;22)+n|0)^((o=((o+=(n^(a|~r))+t[10]-1051523|0)&lt;&lt;15|o&gt;&gt;&gt;17)+a|0)|~n))+t[1]-2054922799|0)&lt;&lt;21|r&gt;&gt;&gt;11)+o|0,r=((r+=((a=((a+=(r^((n=((n+=(o^(r|~a))+t[8]+1873313359|0)&lt;&lt;6|n&gt;&gt;&gt;26)+r|0)|~o))+t[15]-30611744|0)&lt;&lt;10|a&gt;&gt;&gt;22)+n|0)^((o=((o+=(n^(a|~r))+t[6]-1560198380|0)&lt;&lt;15|o&gt;&gt;&gt;17)+a|0)|~n))+t[13]+1309151649|0)&lt;&lt;21|r&gt;&gt;&gt;11)+o|0,r=((r+=((a=((a+=(r^((n=((n+=(o^(r|~a))+t[4]-145523070|0)&lt;&lt;6|n&gt;&gt;&gt;26)+r|0)|~o))+t[11]-1120210379|0)&lt;&lt;10|a&gt;&gt;&gt;22)+n|0)^((o=((o+=(n^(a|~r))+t[2]+718787259|0)&lt;&lt;15|o&gt;&gt;&gt;17)+a|0)|~n))+t[9]-343485551|0)&lt;&lt;21|r&gt;&gt;&gt;11)+o|0,e[0]=n+e[0]|0,e[1]=r+e[1]|0,e[2]=o+e[2]|0,e[3]=a+e[3]|0}function r(e){var t,n=[];for(t=0;t&lt;64;t+=4)n[t&gt;&gt;2]=e.charCodeAt(t)+(e.charCodeAt(t+1)&lt;&lt;8)+(e.charCodeAt(t+2)&lt;&lt;16)+(e.charCodeAt(t+3)&lt;&lt;24);return n}function o(e){var t,n=[];for(t=0;t&lt;64;t+=4)n[t&gt;&gt;2]=e[t]+(e[t+1]&lt;&lt;8)+(e[t+2]&lt;&lt;16)+(e[t+3]&lt;&lt;24);return n}function a(e){var t,o,a,i,s,l,c=e.length,u=[1732584193,-271733879,-1732584194,271733878];for(t=64;t&lt;=c;t+=64)n(u,r(e.substring(t-64,t)));for(o=(e=e.substring(t-64)).length,a=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],t=0;t&lt;o;t+=1)a[t&gt;&gt;2]|=e.charCodeAt(t)&lt;&lt;(t%4&lt;&lt;3);if(a[t&gt;&gt;2]|=128&lt;&lt;(t%4&lt;&lt;3),t&gt;55)for(n(u,a),t=0;t&lt;16;t+=1)a[t]=0;return i=(i=8*c).toString(16).match(/(.*?)(.{0,8})$/),s=parseInt(i[2],16),l=parseInt(i[1],16)||0,a[14]=s,a[15]=l,n(u,a),u}function i(e){var t,r,a,i,s,l,c=e.length,u=[1732584193,-271733879,-1732584194,271733878];for(t=64;t&lt;=c;t+=64)n(u,o(e.subarray(t-64,t)));for(r=(e=t-64&lt;c?e.subarray(t-64):new Uint8Array(0)).length,a=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],t=0;t&lt;r;t+=1)a[t&gt;&gt;2]|=e[t]&lt;&lt;(t%4&lt;&lt;3);if(a[t&gt;&gt;2]|=128&lt;&lt;(t%4&lt;&lt;3),t&gt;55)for(n(u,a),t=0;t&lt;16;t+=1)a[t]=0;return i=(i=8*c).toString(16).match(/(.*?)(.{0,8})$/),s=parseInt(i[2],16),l=parseInt(i[1],16)||0,a[14]=s,a[15]=l,n(u,a),u}function s(e){var n,r=&quot;&quot;;for(n=0;n&lt;4;n+=1)r+=t[e&gt;&gt;8*n+4&amp;15]+t[e&gt;&gt;8*n&amp;15];return r}function l(e){var t;for(t=0;t&lt;e.length;t+=1)e[t]=s(e[t]);return e.join(&quot;&quot;)}function c(e){return/[\\u0080-\\uFFFF]/.test(e)&amp;&amp;(e=unescape(encodeURIComponent(e))),e}function u(e,t){var n,r=e.length,o=new ArrayBuffer(r),a=new Uint8Array(o);for(n=0;n&lt;r;n+=1)a[n]=e.charCodeAt(n);return t?a:o}function d(e){return String.fromCharCode.apply(null,new Uint8Array(e))}function p(e,t,n){var r=new Uint8Array(e.byteLength+t.byteLength);return r.set(new Uint8Array(e)),r.set(new Uint8Array(t),e.byteLength),n?r:r.buffer}function f(e){var t,n=[],r=e.length;for(t=0;t&lt;r-1;t+=2)n.push(parseInt(e.substr(t,2),16));return String.fromCharCode.apply(String,n)}function g(){this.reset()}return l(a(&quot;hello&quot;)),&quot;undefined&quot;==typeof ArrayBuffer||ArrayBuffer.prototype.slice||function(){function t(e,t){return(e=0|e||0)&lt;0?Math.max(e+t,0):Math.min(e,t)}ArrayBuffer.prototype.slice=function(n,r){var o,a,i,s,l=this.byteLength,c=t(n,l),u=l;return r!==e&amp;&amp;(u=t(r,l)),c&gt;u?new ArrayBuffer(0):(o=u-c,a=new ArrayBuffer(o),i=new Uint8Array(a),s=new Uint8Array(this,c,o),i.set(s),a)}}(),g.prototype.append=function(e){return this.appendBinary(c(e)),this},g.prototype.appendBinary=function(e){this._buff+=e,this._length+=e.length;var t,o=this._buff.length;for(t=64;t&lt;=o;t+=64)n(this._hash,r(this._buff.substring(t-64,t)));return this._buff=this._buff.substring(t-64),this},g.prototype.end=function(e){var t,n,r=this._buff,o=r.length,a=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0];for(t=0;t&lt;o;t+=1)a[t&gt;&gt;2]|=r.charCodeAt(t)&lt;&lt;(t%4&lt;&lt;3);return this._finish(a,o),n=l(this._hash),e&amp;&amp;(n=f(n)),this.reset(),n},g.prototype.reset=function(){return this._buff=&quot;&quot;,this._length=0,this._hash=[1732584193,-271733879,-1732584194,271733878],this},g.prototype.getState=function(){return{buff:this._buff,length:this._length,hash:this._hash.slice()}},g.prototype.setState=function(e){return this._buff=e.buff,this._length=e.length,this._hash=e.hash,this},g.prototype.destroy=function(){delete this._hash,delete this._buff,delete this._length},g.prototype._finish=function(e,t){var r,o,a,i=t;if(e[i&gt;&gt;2]|=128&lt;&lt;(i%4&lt;&lt;3),i&gt;55)for(n(this._hash,e),i=0;i&lt;16;i+=1)e[i]=0;r=(r=8*this._length).toString(16).match(/(.*?)(.{0,8})$/),o=parseInt(r[2],16),a=parseInt(r[1],16)||0,e[14]=o,e[15]=a,n(this._hash,e)},g.hash=function(e,t){return g.hashBinary(c(e),t)},g.hashBinary=function(e,t){var n=l(a(e));return t?f(n):n},g.ArrayBuffer=function(){this.reset()},g.ArrayBuffer.prototype.append=function(e){var t,r=p(this._buff.buffer,e,!0),a=r.length;for(this._length+=e.byteLength,t=64;t&lt;=a;t+=64)n(this._hash,o(r.subarray(t-64,t)));return this._buff=t-64&lt;a?new Uint8Array(r.buffer.slice(t-64)):new Uint8Array(0),this},g.ArrayBuffer.prototype.end=function(e){var t,n,r=this._buff,o=r.length,a=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0];for(t=0;t&lt;o;t+=1)a[t&gt;&gt;2]|=r[t]&lt;&lt;(t%4&lt;&lt;3);return this._finish(a,o),n=l(this._hash),e&amp;&amp;(n=f(n)),this.reset(),n},g.ArrayBuffer.prototype.reset=function(){return this._buff=new Uint8Array(0),this._length=0,this._hash=[1732584193,-271733879,-1732584194,271733878],this},g.ArrayBuffer.prototype.getState=function(){var e=g.prototype.getState.call(this);return e.buff=d(e.buff),e},g.ArrayBuffer.prototype.setState=function(e){return e.buff=u(e.buff,!0),g.prototype.setState.call(this,e)},g.ArrayBuffer.prototype.destroy=g.prototype.destroy,g.ArrayBuffer.prototype._finish=g.prototype._finish,g.ArrayBuffer.hash=function(e,t){var n=l(i(new Uint8Array(e)));return t?f(n):n},g}()}(Iv);var Ov=Iv.exports;const Rv=[&quot;lastShaderProgramBound&quot;,&quot;context&quot;,&quot;_openGLRenderWindow&quot;];const Mv={lastShaderProgramBound:null,shaderPrograms:null,context:null};function Dv(e,t,n={}){Object.assign(t,Mv,n),t.shaderPrograms={},sn.obj(e,t),sn.setGet(e,t,Rv),sn.moveToProtected(e,t,[&quot;openGLRenderWindow&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkShaderCache&quot;),e.replaceShaderValues=(e,n,r)=&gt;{let o=n;r.length&gt;0&amp;&amp;(o=vd.substitute(o,&quot;VSOut&quot;,&quot;GSOut&quot;).result);const a=t._openGLRenderWindow.getWebgl2();let i=&quot;\\n&quot;,s=&quot;#version 100\\n&quot;;a?s=&quot;#version 300 es\\n#define attribute in\\n#define textureCube texture\\n#define texture2D texture\\n#define textureCubeLod textureLod\\n#define texture2DLod textureLod\\n&quot;:(t.context.getExtension(&quot;OES_standard_derivatives&quot;),t.context.getExtension(&quot;EXT_frag_depth&quot;)&amp;&amp;(i=&quot;#extension GL_EXT_frag_depth : enable\\n&quot;),t.context.getExtension(&quot;EXT_shader_texture_lod&quot;)&amp;&amp;(i+=&quot;#extension GL_EXT_shader_texture_lod : enable\\n#define textureCubeLod textureCubeLodEXT\\n#define texture2DLod texture2DLodEXT&quot;)),o=vd.substitute(o,&quot;//VTK::System::Dec&quot;,[`${s}\\n`,a?&quot;&quot;:&quot;#extension GL_OES_standard_derivatives : enable\\n&quot;,i,&quot;#ifdef GL_FRAGMENT_PRECISION_HIGH&quot;,&quot;precision highp float;&quot;,&quot;precision highp int;&quot;,&quot;#else&quot;,&quot;precision mediump float;&quot;,&quot;precision mediump int;&quot;,&quot;#endif&quot;]).result;let l=vd.substitute(e,&quot;//VTK::System::Dec&quot;,[`${s}\\n`,&quot;#ifdef GL_FRAGMENT_PRECISION_HIGH&quot;,&quot;precision highp float;&quot;,&quot;precision highp int;&quot;,&quot;#else&quot;,&quot;precision mediump float;&quot;,&quot;precision mediump int;&quot;,&quot;#endif&quot;]).result;if(a){l=vd.substitute(l,&quot;varying&quot;,&quot;out&quot;).result,o=vd.substitute(o,&quot;varying&quot;,&quot;in&quot;).result;let e=&quot;&quot;,t=0;for(;o.includes(`gl_FragData[${t}]`);)o=vd.substitute(o,`gl_FragData\\\\[${t}\\\\]`,`fragOutput${t}`).result,e+=`layout(location = ${t}) out vec4 fragOutput${t};\\n`,t++;o=vd.substitute(o,&quot;//VTK::Output::Dec&quot;,e).result}return{VSSource:l,FSSource:o,GSSource:vd.substitute(r,&quot;//VTK::System::Dec&quot;,s).result}},e.readyShaderProgramArray=(t,n,r)=&gt;{const o=e.replaceShaderValues(t,n,r),a=e.getShaderProgram(o.VSSource,o.FSSource,o.GSSource);return e.readyShaderProgram(a)},e.readyShaderProgram=t=&gt;t&amp;&amp;(t.getCompiled()||t.compileShader())&amp;&amp;e.bindShaderProgram(t)?t:null,e.getShaderProgram=(e,n,r)=&gt;{const o=`${e}${n}${r}`,a=Ov.hash(o);if(!(a in t.shaderPrograms)){const o=vd.newInstance();return o.setContext(t.context),o.getVertexShader().setSource(e),o.getFragmentShader().setSource(n),r&amp;&amp;o.getGeometryShader().setSource(r),o.setMd5Hash(a),t.shaderPrograms[a]=o,o}return t.shaderPrograms[a]},e.releaseGraphicsResources=n=&gt;{e.releaseCurrentShaderProgram(),Object.keys(t.shaderPrograms).map((e=&gt;t.shaderPrograms[e])).forEach((e=&gt;e.cleanup())),t.shaderPrograms={}},e.releaseCurrentShaderProgram=()=&gt;{t.lastShaderProgramBound&amp;&amp;(t.lastShaderProgramBound.cleanup(),t.lastShaderProgramBound=null)},e.bindShaderProgram=e=&gt;(t.lastShaderProgramBound===e||(t.lastShaderProgramBound&amp;&amp;t.lastShaderProgramBound.release(),e.bind(),t.lastShaderProgramBound=e),1)}(e,t)}var Ev={newInstance:sn.newInstance(Dv,&quot;vtkShaderCache&quot;),extend:Dv};const{vtkErrorMacro:Vv}=sn;const Lv={context:null,numberOfTextureUnits:0,textureUnits:0};function Bv(e,t,n={}){Object.assign(t,Lv,n),sn.obj(e,t),t.textureUnits=[],sn.get(e,t,[&quot;numberOfTextureUnits&quot;]),sn.setGet(e,t,[&quot;context&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkOpenGLTextureUnitManager&quot;),e.deleteTable=()=&gt;{for(let e=0;e&lt;t.numberOfTextureUnits;++e)!0===t.textureUnits[e]&amp;&amp;Vv(&quot;some texture units  were not properly released&quot;);t.textureUnits=[],t.numberOfTextureUnits=0},e.setContext=n=&gt;{if(t.context!==n){if(0!==t.context&amp;&amp;e.deleteTable(),t.context=n,t.context){t.numberOfTextureUnits=n.getParameter(n.MAX_TEXTURE_IMAGE_UNITS);for(let e=0;e&lt;t.numberOfTextureUnits;++e)t.textureUnits[e]=!1}e.modified()}},e.allocate=()=&gt;{for(let n=0;n&lt;t.numberOfTextureUnits;n++)if(!e.isAllocated(n))return t.textureUnits[n]=!0,n;return-1},e.allocateUnit=n=&gt;e.isAllocated(n)?-1:(t.textureUnits[n]=!0,n),e.isAllocated=e=&gt;t.textureUnits[e],e.free=e=&gt;{t.textureUnits[e]=!1},e.freeAll=()=&gt;{for(let e=0;e&lt;t.numberOfTextureUnits;++e)t.textureUnits[e]=!1}}(e,t)}var Fv={newInstance:sn.newInstance(Bv,&quot;vtkOpenGLTextureUnitManager&quot;),extend:Bv};const Nv={size:void 0,selector:void 0};function kv(e,t,n={}){Object.assign(t,Nv,n),t.size||(t.size=[300,300]),sn.getArray(e,t,[&quot;size&quot;],2),sn.get(e,t,[&quot;selector&quot;]),pn.extend(e,t,n),function(e,t){t.classHierarchy.push(&quot;vtkRenderWindowViewNode&quot;),e.getViewNodeFactory=()=&gt;null,e.getAspectRatio=()=&gt;t.size[0]/t.size[1],e.getAspectRatioForRenderer=e=&gt;{const n=e.getViewportByReference();return t.size[0]*(n[2]-n[0])/((n[3]-n[1])*t.size[1])},e.isInViewport=(t,n,r)=&gt;{const o=r.getViewportByReference(),a=e.getFramebufferSize();return o[0]*a[0]&lt;=t&amp;&amp;o[2]*a[0]&gt;=t&amp;&amp;o[1]*a[1]&lt;=n&amp;&amp;o[3]*a[1]&gt;=n},e.getViewportSize=t=&gt;{const n=t.getViewportByReference(),r=e.getFramebufferSize();return[(n[2]-n[0])*r[0],(n[3]-n[1])*r[1]]},e.getViewportCenter=t=&gt;{const n=e.getViewportSize(t);return[.5*n[0],.5*n[1]]},e.displayToNormalizedDisplay=(t,n,r)=&gt;{const o=e.getFramebufferSize();return[t/o[0],n/o[1],r]},e.normalizedDisplayToDisplay=(t,n,r)=&gt;{const o=e.getFramebufferSize();return[t*o[0],n*o[1],r]},e.worldToView=(e,t,n,r)=&gt;r.worldToView(e,t,n),e.viewToWorld=(e,t,n,r)=&gt;r.viewToWorld(e,t,n),e.worldToDisplay=(t,n,r,o)=&gt;{const a=o.worldToView(t,n,r),i=e.getViewportSize(o),s=o.viewToProjection(a[0],a[1],a[2],i[0]/i[1]),l=o.projectionToNormalizedDisplay(s[0],s[1],s[2]);return e.normalizedDisplayToDisplay(l[0],l[1],l[2])},e.displayToWorld=(t,n,r,o)=&gt;{const a=e.displayToNormalizedDisplay(t,n,r),i=o.normalizedDisplayToProjection(a[0],a[1],a[2]),s=e.getViewportSize(o),l=o.projectionToView(i[0],i[1],i[2],s[0]/s[1]);return o.viewToWorld(l[0],l[1],l[2])},e.normalizedDisplayToViewport=(t,n,r,o)=&gt;{let a=o.getViewportByReference();a=e.normalizedDisplayToDisplay(a[0],a[1],0);const i=e.normalizedDisplayToDisplay(t,n,r);return[i[0]-a[0]-.5,i[1]-a[1]-.5,r]},e.viewportToNormalizedViewport=(t,n,r,o)=&gt;{const a=e.getViewportSize(o);return a&amp;&amp;0!==a[0]&amp;&amp;0!==a[1]?[t/(a[0]-1),n/(a[1]-1),r]:[t,n,r]},e.normalizedViewportToViewport=(t,n,r,o)=&gt;{const a=e.getViewportSize(o);return[t*(a[0]-1),n*(a[1]-1),r]},e.displayToLocalDisplay=(t,n,r)=&gt;[t,e.getFramebufferSize()[1]-n-1,r],e.viewportToNormalizedDisplay=(t,n,r,o)=&gt;{let a=o.getViewportByReference();a=e.normalizedDisplayToDisplay(a[0],a[1],0);const i=t+a[0]+.5,s=n+a[1]+.5;return e.displayToNormalizedDisplay(i,s,r)},e.getComputedDevicePixelRatio=()=&gt;t.size[0]/e.getContainerSize()[0],e.getContainerSize=()=&gt;{sn.vtkErrorMacro(&quot;not implemented&quot;)},e.getPixelData=(e,t,n,r)=&gt;{sn.vtkErrorMacro(&quot;not implemented&quot;)},e.createSelector=()=&gt;{sn.vtkErrorMacro(&quot;not implemented&quot;)}}(e,t)}var Gv={newInstance:sn.newInstance(kv,&quot;vtkRenderWindowViewNode&quot;),extend:kv};function Uv(){const e=new Map,t={apply:(t,n,r)=&gt;e.has(r[0])?e.get(r[0]):t.apply(n,r)};const n=Object.create(null);return n.getParameter=(e,n,r,o)=&gt;new Proxy(o.bind(e),t),n.depthMask=(t,n,r,o)=&gt;{return new Proxy(o.bind(t),(a=t.DEPTH_WRITEMASK,{apply:(t,n,r)=&gt;(e.set(a,r[0]),t.apply(n,r))}));var a},{get(e,t,r){if(&quot;__getUnderlyingContext&quot;===t)return()=&gt;e;let o=Reflect.get(e,t,e);o instanceof Function&amp;&amp;(o=o.bind(e));const a=n[t];return a?a(e,t,r,o):o}}}const{vtkDebugMacro:_v,vtkErrorMacro:Kv}=sn,zv={position:&quot;absolute&quot;,top:0,left:0,width:&quot;100%&quot;,height:&quot;100%&quot;},Wv=[&quot;activateTexture&quot;,&quot;deactivateTexture&quot;,&quot;disableCullFace&quot;,&quot;enableCullFace&quot;,&quot;get3DContext&quot;,&quot;getActiveFramebuffer&quot;,&quot;getContext&quot;,&quot;getDefaultTextureByteSize&quot;,&quot;getDefaultTextureInternalFormat&quot;,&quot;getDefaultToWebgl2&quot;,&quot;getGLInformations&quot;,&quot;getGraphicsMemoryInfo&quot;,&quot;getGraphicsResourceForObject&quot;,&quot;getHardwareMaximumLineWidth&quot;,&quot;getPixelData&quot;,&quot;getShaderCache&quot;,&quot;getTextureUnitForTexture&quot;,&quot;getTextureUnitManager&quot;,&quot;getWebgl2&quot;,&quot;makeCurrent&quot;,&quot;releaseGraphicsResources&quot;,&quot;registerGraphicsResourceUser&quot;,&quot;unregisterGraphicsResourceUser&quot;,&quot;restoreContext&quot;,&quot;setActiveFramebuffer&quot;,&quot;setContext&quot;,&quot;setDefaultToWebgl2&quot;,&quot;setGraphicsResourceForObject&quot;];function Hv(e,t,n){const r=e.createFramebuffer(),o=e.createTexture();e.bindTexture(e.TEXTURE_2D,o),e.texImage2D(e.TEXTURE_2D,0,t,2,2,0,t,n,null),e.bindFramebuffer(e.FRAMEBUFFER,r),e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,o,0);const a=e.checkFramebufferStatus(e.FRAMEBUFFER);return e.bindFramebuffer(e.FRAMEBUFFER,null),e.bindTexture(e.TEXTURE_2D,null),a===e.FRAMEBUFFER_COMPLETE}let jv=0;const Xv=[];function qv(e){e.preventDefault()}function Yv(e,t){let n;t.classHierarchy.push(&quot;vtkOpenGLRenderWindow&quot;),e.getViewNodeFactory=()=&gt;t.myFactory,t.canvas.addEventListener(&quot;webglcontextlost&quot;,qv,!1),t.canvas.addEventListener(&quot;webglcontextrestored&quot;,e.restoreContext,!1);const r=[0,0];let o;e.onModified((function(){t.renderable&amp;&amp;(t.size[0]===r[0]&amp;&amp;t.size[1]===r[1]||(r[0]=t.size[0],r[1]=t.size[1],t.canvas.setAttribute(&quot;width&quot;,t.size[0]),t.canvas.setAttribute(&quot;height&quot;,t.size[1]))),t.viewStream&amp;&amp;t.viewStream.setSize(t.size[0],t.size[1]),t.canvas.style.display=t.useOffScreen?&quot;none&quot;:&quot;block&quot;,t.el&amp;&amp;(t.el.style.cursor=t.cursorVisibility?t.cursor:&quot;none&quot;),t.containerSize=null})),e.buildPass=n=&gt;{if(n){if(!t.renderable)return;e.prepareNodes(),e.addMissingNodes(t.renderable.getRenderersByReference()),e.addMissingNodes(t.renderable.getChildRenderWindowsByReference()),e.removeUnusedNodes(),e.initialize(),t.children.forEach((t=&gt;{t.setOpenGLRenderWindow?.(e)}))}},e.initialize=()=&gt;{if(!t.initialized){if(t.rootOpenGLRenderWindow=e.getLastAncestorOfType(&quot;vtkOpenGLRenderWindow&quot;),t.rootOpenGLRenderWindow)t.context2D=e.get2DContext();else{t.context=e.get3DContext(),e.resizeFromChildRenderWindows(),t.context&amp;&amp;(jv++,Xv.forEach((e=&gt;e(jv)))),t.textureUnitManager=Fv.newInstance(),t.textureUnitManager.setContext(t.context),t.shaderCache.setContext(t.context);const n=t.context;n.blendFuncSeparate(n.SRC_ALPHA,n.ONE_MINUS_SRC_ALPHA,n.ONE,n.ONE_MINUS_SRC_ALPHA),n.depthFunc(n.LEQUAL),n.enable(n.BLEND)}t.initialized=!0}},e.makeCurrent=()=&gt;{t.context.makeCurrent()},e.setContainer=n=&gt;{t.el&amp;&amp;t.el!==n&amp;&amp;(t.canvas.parentNode!==t.el&amp;&amp;Kv(&quot;Error: canvas parent node does not match container&quot;),t.el.removeChild(t.canvas),t.el.contains(t.bgImage)&amp;&amp;t.el.removeChild(t.bgImage)),t.el!==n&amp;&amp;(t.el=n,t.el&amp;&amp;(t.el.appendChild(t.canvas),t.useBackgroundImage&amp;&amp;t.el.appendChild(t.bgImage)),e.modified())},e.getContainer=()=&gt;t.el,e.getContainerSize=()=&gt;{if(!t.containerSize&amp;&amp;t.el){const{width:e,height:n}=t.el.getBoundingClientRect();t.containerSize=[e,n]}return t.containerSize||t.size},e.getFramebufferSize=()=&gt;{const e=t.activeFramebuffer?.getSize();return e||t.size},e.getPixelData=(e,n,r,o)=&gt;{const a=new Uint8Array((r-e+1)*(o-n+1)*4);return t.context.readPixels(e,n,r-e+1,o-n+1,t.context.RGBA,t.context.UNSIGNED_BYTE,a),a},e.get3DContext=(e={preserveDrawingBuffer:!1,depth:!0,alpha:!0,powerPreference:&quot;high-performance&quot;})=&gt;{let r=null;const o=&quot;undefined&quot;!=typeof WebGL2RenderingContext;return t.webgl2=!1,t.defaultToWebgl2&amp;&amp;o&amp;&amp;(r=t.canvas.getContext(&quot;webgl2&quot;,e),r&amp;&amp;(t.webgl2=!0,_v(&quot;using webgl2&quot;))),r||(_v(&quot;using webgl1&quot;),r=t.canvas.getContext(&quot;webgl&quot;,e)||t.canvas.getContext(&quot;experimental-webgl&quot;,e)),r||Kv(&quot;no webgl context&quot;),new Proxy(r,(n||(n=Uv()),n))},e.get2DContext=(e={})=&gt;t.canvas.getContext(&quot;2d&quot;,e),e.restoreContext=()=&gt;{const t=vv.newInstance();t.setCurrentOperation(&quot;Release&quot;),t.traverse(e,null)},e.activateTexture=n=&gt;{const r=t._textureResourceIds.get(n);if(void 0!==r)return void t.context.activeTexture(t.context.TEXTURE0+r);const o=e.getTextureUnitManager().allocate();o&lt;0?Kv(&quot;Hardware does not support the number of textures defined.&quot;):(t._textureResourceIds.set(n,o),t.context.activeTexture(t.context.TEXTURE0+o))},e.deactivateTexture=n=&gt;{const r=t._textureResourceIds.get(n);void 0!==r&amp;&amp;(e.getTextureUnitManager().free(r),t._textureResourceIds.delete(n))},e.getTextureUnitForTexture=e=&gt;{const n=t._textureResourceIds.get(e);return void 0!==n?n:-1},e.getDefaultTextureByteSize=(e,n=null,r=!1)=&gt;{if(t.webgl2)switch(e){case ms.CHAR:case ms.SIGNED_CHAR:case ms.UNSIGNED_CHAR:return 1;case n:case r:case ms.UNSIGNED_SHORT:case ms.SHORT:case ms.VOID:return 2;default:return 4}return 1},e.getDefaultTextureInternalFormat=(e,n,r=null,o=!1)=&gt;{if(t.webgl2)switch(e){case ms.UNSIGNED_CHAR:switch(n){case 1:return t.context.R8;case 2:return t.context.RG8;case 3:return t.context.RGB8;default:return t.context.RGBA8}case r&amp;&amp;!o&amp;&amp;ms.UNSIGNED_SHORT:switch(n){case 1:return r.R16_EXT;case 2:return r.RG16_EXT;case 3:return r.RGB16_EXT;default:return r.RGBA16_EXT}case r&amp;&amp;!o&amp;&amp;ms.SHORT:switch(n){case 1:return r.R16_SNORM_EXT;case 2:return r.RG16_SNORM_EXT;case 3:return r.RGB16_SNORM_EXT;default:return r.RGBA16_SNORM_EXT}default:switch(n){case 1:return o?t.context.R16F:t.context.R32F;case 2:return o?t.context.RG16F:t.context.RG32F;case 3:return o?t.context.RGB16F:t.context.RGB32F;default:return o?t.context.RGBA16F:t.context.RGBA32F}}switch(n){case 1:return t.context.LUMINANCE;case 2:return t.context.LUMINANCE_ALPHA;case 3:return t.context.RGB;default:return t.context.RGBA}},e.setBackgroundImage=e=&gt;{t.bgImage.src=e.src},e.setUseBackgroundImage=e=&gt;{t.useBackgroundImage=e,t.useBackgroundImage&amp;&amp;!t.el.contains(t.bgImage)?t.el.appendChild(t.bgImage):!t.useBackgroundImage&amp;&amp;t.el.contains(t.bgImage)&amp;&amp;t.el.removeChild(t.bgImage)},e.captureNextImage=(n=&quot;image/png&quot;,{resetCamera:r=!1,size:o=null,scale:a=1}={})=&gt;{if(t.deleted)return null;t.imageFormat=n;const i=t.notifyStartCaptureImage;return t.notifyStartCaptureImage=!0,t._screenshot={size:o||1!==a?o||t.size.map((e=&gt;e*a)):null},new Promise(((n,o)=&gt;{const a=e.onImageReady((o=&gt;{if(null===t._screenshot.size)t.notifyStartCaptureImage=i,a.unsubscribe(),t._screenshot.placeHolder&amp;&amp;(t.size=t._screenshot.originalSize,e.modified(),t._screenshot.cameras&amp;&amp;t._screenshot.cameras.forEach((({restoreParamsFn:e,arg:t})=&gt;e(t))),e.traverseAllPasses(),t.el.removeChild(t._screenshot.placeHolder),t._screenshot.placeHolder.remove(),t._screenshot=null),n(o);else{const n=document.createElement(&quot;img&quot;);if(n.style=zv,n.src=o,t._screenshot.placeHolder=t.el.appendChild(n),t.canvas.style.display=&quot;none&quot;,t._screenshot.originalSize=t.size,t.size=t._screenshot.size,t.rootOpenGLRenderWindow?.resizeFromChildRenderWindows(),t._screenshot.size=null,e.modified(),r){const e=!0!==r;t._screenshot.cameras=t.renderable.getRenderers().map((t=&gt;{const n=t.getActiveCamera(),o=n.get(&quot;focalPoint&quot;,&quot;position&quot;,&quot;parallelScale&quot;);return{resetCameraArgs:e?{renderer:t}:void 0,resetCameraFn:e?r:t.resetCamera,restoreParamsFn:n.set,arg:JSON.parse(JSON.stringify(o))}})),t._screenshot.cameras.forEach((({resetCameraFn:e,resetCameraArgs:t})=&gt;e(t)))}e.traverseAllPasses()}}))}))},e.getHardwareMaximumLineWidth=()=&gt;{if(null!=o)return o;const t=e.get3DContext(),n=t.getParameter(t.ALIASED_LINE_WIDTH_RANGE);return o=n[1],n[1]},e.getGLInformations=()=&gt;{if(t._glInformation)return t._glInformation;const n=e.get3DContext(),r=n.getExtension(&quot;OES_texture_float&quot;),o=n.getExtension(&quot;OES_texture_half_float&quot;),a=n.getExtension(&quot;WEBGL_debug_renderer_info&quot;),i=n.getExtension(&quot;WEBGL_draw_buffers&quot;),s=n.getExtension(&quot;EXT_texture_filter_anisotropic&quot;)||n.getExtension(&quot;WEBKIT_EXT_texture_filter_anisotropic&quot;),l=[[&quot;Max Vertex Attributes&quot;,&quot;MAX_VERTEX_ATTRIBS&quot;,n.getParameter(n.MAX_VERTEX_ATTRIBS)],[&quot;Max Varying Vectors&quot;,&quot;MAX_VARYING_VECTORS&quot;,n.getParameter(n.MAX_VARYING_VECTORS)],[&quot;Max Vertex Uniform Vectors&quot;,&quot;MAX_VERTEX_UNIFORM_VECTORS&quot;,n.getParameter(n.MAX_VERTEX_UNIFORM_VECTORS)],[&quot;Max Fragment Uniform Vectors&quot;,&quot;MAX_FRAGMENT_UNIFORM_VECTORS&quot;,n.getParameter(n.MAX_FRAGMENT_UNIFORM_VECTORS)],[&quot;Max Fragment Texture Image Units&quot;,&quot;MAX_TEXTURE_IMAGE_UNITS&quot;,n.getParameter(n.MAX_TEXTURE_IMAGE_UNITS)],[&quot;Max Vertex Texture Image Units&quot;,&quot;MAX_VERTEX_TEXTURE_IMAGE_UNITS&quot;,n.getParameter(n.MAX_VERTEX_TEXTURE_IMAGE_UNITS)],[&quot;Max Combined Texture Image Units&quot;,&quot;MAX_COMBINED_TEXTURE_IMAGE_UNITS&quot;,n.getParameter(n.MAX_COMBINED_TEXTURE_IMAGE_UNITS)],[&quot;Max 2D Texture Size&quot;,&quot;MAX_TEXTURE_SIZE&quot;,n.getParameter(n.MAX_TEXTURE_SIZE)],[&quot;Max Cube Texture Size&quot;,&quot;MAX_CUBE_MAP_TEXTURE_SIZE&quot;,n.getParameter(n.MAX_CUBE_MAP_TEXTURE_SIZE)],[&quot;Max Texture Anisotropy&quot;,&quot;MAX_TEXTURE_MAX_ANISOTROPY_EXT&quot;,s&amp;&amp;n.getParameter(s.MAX_TEXTURE_MAX_ANISOTROPY_EXT)],[&quot;Point Size Range&quot;,&quot;ALIASED_POINT_SIZE_RANGE&quot;,n.getParameter(n.ALIASED_POINT_SIZE_RANGE).join(&quot; - &quot;)],[&quot;Line Width Range&quot;,&quot;ALIASED_LINE_WIDTH_RANGE&quot;,n.getParameter(n.ALIASED_LINE_WIDTH_RANGE).join(&quot; - &quot;)],[&quot;Max Viewport Dimensions&quot;,&quot;MAX_VIEWPORT_DIMS&quot;,n.getParameter(n.MAX_VIEWPORT_DIMS).join(&quot; - &quot;)],[&quot;Max Renderbuffer Size&quot;,&quot;MAX_RENDERBUFFER_SIZE&quot;,n.getParameter(n.MAX_RENDERBUFFER_SIZE)],[&quot;Framebuffer Red Bits&quot;,&quot;RED_BITS&quot;,n.getParameter(n.RED_BITS)],[&quot;Framebuffer Green Bits&quot;,&quot;GREEN_BITS&quot;,n.getParameter(n.GREEN_BITS)],[&quot;Framebuffer Blue Bits&quot;,&quot;BLUE_BITS&quot;,n.getParameter(n.BLUE_BITS)],[&quot;Framebuffer Alpha Bits&quot;,&quot;ALPHA_BITS&quot;,n.getParameter(n.ALPHA_BITS)],[&quot;Framebuffer Depth Bits&quot;,&quot;DEPTH_BITS&quot;,n.getParameter(n.DEPTH_BITS)],[&quot;Framebuffer Stencil Bits&quot;,&quot;STENCIL_BITS&quot;,n.getParameter(n.STENCIL_BITS)],[&quot;Framebuffer Subpixel Bits&quot;,&quot;SUBPIXEL_BITS&quot;,n.getParameter(n.SUBPIXEL_BITS)],[&quot;MSAA Samples&quot;,&quot;SAMPLES&quot;,n.getParameter(n.SAMPLES)],[&quot;MSAA Sample Buffers&quot;,&quot;SAMPLE_BUFFERS&quot;,n.getParameter(n.SAMPLE_BUFFERS)],[&quot;Supported Formats for UByte Render Targets     &quot;,&quot;UNSIGNED_BYTE RENDER TARGET FORMATS&quot;,[r&amp;&amp;Hv(n,n.RGBA,n.UNSIGNED_BYTE)?&quot;RGBA&quot;:&quot;&quot;,r&amp;&amp;Hv(n,n.RGB,n.UNSIGNED_BYTE)?&quot;RGB&quot;:&quot;&quot;,r&amp;&amp;Hv(n,n.LUMINANCE,n.UNSIGNED_BYTE)?&quot;LUMINANCE&quot;:&quot;&quot;,r&amp;&amp;Hv(n,n.ALPHA,n.UNSIGNED_BYTE)?&quot;ALPHA&quot;:&quot;&quot;,r&amp;&amp;Hv(n,n.LUMINANCE_ALPHA,n.UNSIGNED_BYTE)?&quot;LUMINANCE_ALPHA&quot;:&quot;&quot;].join(&quot; &quot;)],[&quot;Supported Formats for Half Float Render Targets&quot;,&quot;HALF FLOAT RENDER TARGET FORMATS&quot;,[o&amp;&amp;Hv(n,n.RGBA,o.HALF_FLOAT_OES)?&quot;RGBA&quot;:&quot;&quot;,o&amp;&amp;Hv(n,n.RGB,o.HALF_FLOAT_OES)?&quot;RGB&quot;:&quot;&quot;,o&amp;&amp;Hv(n,n.LUMINANCE,o.HALF_FLOAT_OES)?&quot;LUMINANCE&quot;:&quot;&quot;,o&amp;&amp;Hv(n,n.ALPHA,o.HALF_FLOAT_OES)?&quot;ALPHA&quot;:&quot;&quot;,o&amp;&amp;Hv(n,n.LUMINANCE_ALPHA,o.HALF_FLOAT_OES)?&quot;LUMINANCE_ALPHA&quot;:&quot;&quot;].join(&quot; &quot;)],[&quot;Supported Formats for Full Float Render Targets&quot;,&quot;FLOAT RENDER TARGET FORMATS&quot;,[r&amp;&amp;Hv(n,n.RGBA,n.FLOAT)?&quot;RGBA&quot;:&quot;&quot;,r&amp;&amp;Hv(n,n.RGB,n.FLOAT)?&quot;RGB&quot;:&quot;&quot;,r&amp;&amp;Hv(n,n.LUMINANCE,n.FLOAT)?&quot;LUMINANCE&quot;:&quot;&quot;,r&amp;&amp;Hv(n,n.ALPHA,n.FLOAT)?&quot;ALPHA&quot;:&quot;&quot;,r&amp;&amp;Hv(n,n.LUMINANCE_ALPHA,n.FLOAT)?&quot;LUMINANCE_ALPHA&quot;:&quot;&quot;].join(&quot; &quot;)],[&quot;Max Multiple Render Targets Buffers&quot;,&quot;MAX_DRAW_BUFFERS_WEBGL&quot;,i?n.getParameter(i.MAX_DRAW_BUFFERS_WEBGL):0],[&quot;High Float Precision in Vertex Shader&quot;,&quot;HIGH_FLOAT VERTEX_SHADER&quot;,[n.getShaderPrecisionFormat(n.VERTEX_SHADER,n.HIGH_FLOAT).precision,&quot; (-2&lt;sup&gt;&quot;,n.getShaderPrecisionFormat(n.VERTEX_SHADER,n.HIGH_FLOAT).rangeMin,&quot;&lt;/sup&gt; - 2&lt;sup&gt;&quot;,n.getShaderPrecisionFormat(n.VERTEX_SHADER,n.HIGH_FLOAT).rangeMax,&quot;&lt;/sup&gt;)&quot;].join(&quot;&quot;)],[&quot;Medium Float Precision in Vertex Shader&quot;,&quot;MEDIUM_FLOAT VERTEX_SHADER&quot;,[n.getShaderPrecisionFormat(n.VERTEX_SHADER,n.MEDIUM_FLOAT).precision,&quot; (-2&lt;sup&gt;&quot;,n.getShaderPrecisionFormat(n.VERTEX_SHADER,n.MEDIUM_FLOAT).rangeMin,&quot;&lt;/sup&gt; - 2&lt;sup&gt;&quot;,n.getShaderPrecisionFormat(n.VERTEX_SHADER,n.MEDIUM_FLOAT).rangeMax,&quot;&lt;/sup&gt;)&quot;].join(&quot;&quot;)],[&quot;Low Float Precision in Vertex Shader&quot;,&quot;LOW_FLOAT VERTEX_SHADER&quot;,[n.getShaderPrecisionFormat(n.VERTEX_SHADER,n.LOW_FLOAT).precision,&quot; (-2&lt;sup&gt;&quot;,n.getShaderPrecisionFormat(n.VERTEX_SHADER,n.LOW_FLOAT).rangeMin,&quot;&lt;/sup&gt; - 2&lt;sup&gt;&quot;,n.getShaderPrecisionFormat(n.VERTEX_SHADER,n.LOW_FLOAT).rangeMax,&quot;&lt;/sup&gt;)&quot;].join(&quot;&quot;)],[&quot;High Float Precision in Fragment Shader&quot;,&quot;HIGH_FLOAT FRAGMENT_SHADER&quot;,[n.getShaderPrecisionFormat(n.FRAGMENT_SHADER,n.HIGH_FLOAT).precision,&quot; (-2&lt;sup&gt;&quot;,n.getShaderPrecisionFormat(n.FRAGMENT_SHADER,n.HIGH_FLOAT).rangeMin,&quot;&lt;/sup&gt; - 2&lt;sup&gt;&quot;,n.getShaderPrecisionFormat(n.FRAGMENT_SHADER,n.HIGH_FLOAT).rangeMax,&quot;&lt;/sup&gt;)&quot;].join(&quot;&quot;)],[&quot;Medium Float Precision in Fragment Shader&quot;,&quot;MEDIUM_FLOAT FRAGMENT_SHADER&quot;,[n.getShaderPrecisionFormat(n.FRAGMENT_SHADER,n.MEDIUM_FLOAT).precision,&quot; (-2&lt;sup&gt;&quot;,n.getShaderPrecisionFormat(n.FRAGMENT_SHADER,n.MEDIUM_FLOAT).rangeMin,&quot;&lt;/sup&gt; - 2&lt;sup&gt;&quot;,n.getShaderPrecisionFormat(n.FRAGMENT_SHADER,n.MEDIUM_FLOAT).rangeMax,&quot;&lt;/sup&gt;)&quot;].join(&quot;&quot;)],[&quot;Low Float Precision in Fragment Shader&quot;,&quot;LOW_FLOAT FRAGMENT_SHADER&quot;,[n.getShaderPrecisionFormat(n.FRAGMENT_SHADER,n.LOW_FLOAT).precision,&quot; (-2&lt;sup&gt;&quot;,n.getShaderPrecisionFormat(n.FRAGMENT_SHADER,n.LOW_FLOAT).rangeMin,&quot;&lt;/sup&gt; - 2&lt;sup&gt;&quot;,n.getShaderPrecisionFormat(n.FRAGMENT_SHADER,n.LOW_FLOAT).rangeMax,&quot;&lt;/sup&gt;)&quot;].join(&quot;&quot;)],[&quot;High Int Precision in Vertex Shader&quot;,&quot;HIGH_INT VERTEX_SHADER&quot;,[n.getShaderPrecisionFormat(n.VERTEX_SHADER,n.HIGH_INT).precision,&quot; (-2&lt;sup&gt;&quot;,n.getShaderPrecisionFormat(n.VERTEX_SHADER,n.HIGH_INT).rangeMin,&quot;&lt;/sup&gt; - 2&lt;sup&gt;&quot;,n.getShaderPrecisionFormat(n.VERTEX_SHADER,n.HIGH_INT).rangeMax,&quot;&lt;/sup&gt;)&quot;].join(&quot;&quot;)],[&quot;Medium Int Precision in Vertex Shader&quot;,&quot;MEDIUM_INT VERTEX_SHADER&quot;,[n.getShaderPrecisionFormat(n.VERTEX_SHADER,n.MEDIUM_INT).precision,&quot; (-2&lt;sup&gt;&quot;,n.getShaderPrecisionFormat(n.VERTEX_SHADER,n.MEDIUM_INT).rangeMin,&quot;&lt;/sup&gt; - 2&lt;sup&gt;&quot;,n.getShaderPrecisionFormat(n.VERTEX_SHADER,n.MEDIUM_INT).rangeMax,&quot;&lt;/sup&gt;)&quot;].join(&quot;&quot;)],[&quot;Low Int Precision in Vertex Shader&quot;,&quot;LOW_INT VERTEX_SHADER&quot;,[n.getShaderPrecisionFormat(n.VERTEX_SHADER,n.LOW_INT).precision,&quot; (-2&lt;sup&gt;&quot;,n.getShaderPrecisionFormat(n.VERTEX_SHADER,n.LOW_INT).rangeMin,&quot;&lt;/sup&gt; - 2&lt;sup&gt;&quot;,n.getShaderPrecisionFormat(n.VERTEX_SHADER,n.LOW_INT).rangeMax,&quot;&lt;/sup&gt;)&quot;].join(&quot;&quot;)],[&quot;High Int Precision in Fragment Shader&quot;,&quot;HIGH_INT FRAGMENT_SHADER&quot;,[n.getShaderPrecisionFormat(n.FRAGMENT_SHADER,n.HIGH_INT).precision,&quot; (-2&lt;sup&gt;&quot;,n.getShaderPrecisionFormat(n.FRAGMENT_SHADER,n.HIGH_INT).rangeMin,&quot;&lt;/sup&gt; - 2&lt;sup&gt;&quot;,n.getShaderPrecisionFormat(n.FRAGMENT_SHADER,n.HIGH_INT).rangeMax,&quot;&lt;/sup&gt;)&quot;].join(&quot;&quot;)],[&quot;Medium Int Precision in Fragment Shader&quot;,&quot;MEDIUM_INT FRAGMENT_SHADER&quot;,[n.getShaderPrecisionFormat(n.FRAGMENT_SHADER,n.MEDIUM_INT).precision,&quot; (-2&lt;sup&gt;&quot;,n.getShaderPrecisionFormat(n.FRAGMENT_SHADER,n.MEDIUM_INT).rangeMin,&quot;&lt;/sup&gt; - 2&lt;sup&gt;&quot;,n.getShaderPrecisionFormat(n.FRAGMENT_SHADER,n.MEDIUM_INT).rangeMax,&quot;&lt;/sup&gt;)&quot;].join(&quot;&quot;)],[&quot;Low Int Precision in Fragment Shader&quot;,&quot;LOW_INT FRAGMENT_SHADER&quot;,[n.getShaderPrecisionFormat(n.FRAGMENT_SHADER,n.LOW_INT).precision,&quot; (-2&lt;sup&gt;&quot;,n.getShaderPrecisionFormat(n.FRAGMENT_SHADER,n.LOW_INT).rangeMin,&quot;&lt;/sup&gt; - 2&lt;sup&gt;&quot;,n.getShaderPrecisionFormat(n.FRAGMENT_SHADER,n.LOW_INT).rangeMax,&quot;&lt;/sup&gt;)&quot;].join(&quot;&quot;)],[&quot;Supported Extensions&quot;,&quot;EXTENSIONS&quot;,n.getSupportedExtensions().join(&quot;&lt;br/&gt;\\t\\t\\t\\t\\t    &quot;)],[&quot;WebGL Renderer&quot;,&quot;RENDERER&quot;,n.getParameter(n.RENDERER)],[&quot;WebGL Vendor&quot;,&quot;VENDOR&quot;,n.getParameter(n.VENDOR)],[&quot;WebGL Version&quot;,&quot;VERSION&quot;,n.getParameter(n.VERSION)],[&quot;Shading Language Version&quot;,&quot;SHADING_LANGUAGE_VERSION&quot;,n.getParameter(n.SHADING_LANGUAGE_VERSION)],[&quot;Unmasked Renderer&quot;,&quot;UNMASKED_RENDERER&quot;,a&amp;&amp;n.getParameter(a.UNMASKED_RENDERER_WEBGL)],[&quot;Unmasked Vendor&quot;,&quot;UNMASKED_VENDOR&quot;,a&amp;&amp;n.getParameter(a.UNMASKED_VENDOR_WEBGL)],[&quot;WebGL Version&quot;,&quot;WEBGL_VERSION&quot;,t.webgl2?2:1]],c={};for(;l.length;){const[e,t,n]=l.pop();t&amp;&amp;(c[t]={label:e,value:n})}return t._glInformation=c,c},e.traverseAllPasses=()=&gt;{if(t.renderPasses)for(let n=0;n&lt;t.renderPasses.length;++n)t.renderPasses[n].traverse(e,null);e.copyParentContent(),t.notifyStartCaptureImage&amp;&amp;function(n=t.imageFormat){const r=document.createElement(&quot;canvas&quot;),o=r.getContext(&quot;2d&quot;);r.width=t.canvas.width,r.height=t.canvas.height,o.drawImage(t.canvas,0,0);const a=t.canvas.getBoundingClientRect();t.renderable.getRenderers().forEach((e=&gt;{e.getViewProps().forEach((e=&gt;{if(e.getContainer){const t=e.getContainer().getElementsByTagName(&quot;canvas&quot;);for(let e=0;e&lt;t.length;e++){const n=t[e],r=n.getBoundingClientRect(),i=r.x-a.x,s=r.y-a.y;o.drawImage(n,i,s)}}}))}));const i=r.toDataURL(n);r.remove(),e.invokeImageReady(i)}();const n=t.renderable.getChildRenderWindowsByReference();for(let t=0;t&lt;n.length;++t)e.getViewNodeFor(n[t])?.traverseAllPasses()},e.copyParentContent=()=&gt;{const e=t.rootOpenGLRenderWindow;if(!e||!t.context2D||t.children.some((e=&gt;!!e.getSelector?.())))return;const n=e.getCanvas(),r=t.canvas;t.context2D.drawImage(n,0,n.height-r.height,r.width,r.height,0,0,r.width,r.height)},e.resizeFromChildRenderWindows=()=&gt;{const n=t.renderable.getChildRenderWindowsByReference();if(n.length&gt;0){const t=[0,0];for(let r=0;r&lt;n.length;++r){const o=e.getViewNodeFor(n[r])?.getSize();o&amp;&amp;(t[0]=o[0]&gt;t[0]?o[0]:t[0],t[1]=o[1]&gt;t[1]?o[1]:t[1])}e.setSize(...t)}},e.disableCullFace=()=&gt;{t.cullFaceEnabled&amp;&amp;(t.context.disable(t.context.CULL_FACE),t.cullFaceEnabled=!1)},e.enableCullFace=()=&gt;{t.cullFaceEnabled||(t.context.enable(t.context.CULL_FACE),t.cullFaceEnabled=!0)},e.setViewStream=n=&gt;{if(t.viewStream===n)return!1;if(t.subscription&amp;&amp;(t.subscription.unsubscribe(),t.subscription=null),t.viewStream=n,t.viewStream){t.renderable.getRenderers()[0].getBackgroundByReference()[3]=0,e.setUseBackgroundImage(!0),t.subscription=t.viewStream.onImageReady((t=&gt;e.setBackgroundImage(t.image))),t.viewStream.setSize(t.size[0],t.size[1]),t.viewStream.invalidateCache(),t.viewStream.render(),e.modified()}return!0},e.createSelector=()=&gt;{const t=af.newInstance();return t.setOpenGLRenderWindow(e),t},e.delete=sn.chain((()=&gt;{t.context&amp;&amp;(jv--,Xv.forEach((e=&gt;e(jv)))),e.setContainer(),e.setViewStream()}),(function(){t.canvas.removeEventListener(&quot;webglcontextlost&quot;,qv),t.canvas.removeEventListener(&quot;webglcontextrestored&quot;,e.restoreContext)}),e.delete),e.setActiveFramebuffer=e=&gt;{t.activeFramebuffer=e};const a=e.setSize;e.setSize=(t,n)=&gt;{const r=a(t,n);return r&amp;&amp;e.invokeWindowResizeEvent({width:t,height:n}),r},e.registerGraphicsResourceUser=(n,r)=&gt;{t._graphicsResources.has(n)||e.setGraphicsResourceForObject(n,null,null);const o=t._graphicsResources.get(n);o?.users.add(r)},e.unregisterGraphicsResourceUser=(n,r)=&gt;{const o=t._graphicsResources.get(n);o&amp;&amp;(o.users.delete(r),o.users.size||(o.oglObject?.releaseGraphicsResources(e),t._graphicsResources.delete(n)))},e.getGraphicsResourceForObject=e=&gt;t._graphicsResources.get(e),e.setGraphicsResourceForObject=(n,r,o)=&gt;{if(!n)return;const a=t._graphicsResources.get(n);a?.oglObject?.releaseGraphicsResources(e),t._graphicsResources.set(n,{coreObject:n,oglObject:r,hash:o,users:a?.users??new Set})},e.getGraphicsMemoryInfo=()=&gt;{let e=0;return t._graphicsResources.forEach((({oglObject:t})=&gt;{e+=t.getAllocatedGPUMemoryInBytes()})),e},e.releaseGraphicsResources=()=&gt;{null!==t.shaderCache&amp;&amp;t.shaderCache.releaseGraphicsResources(e),t._graphicsResources.forEach((({oglObject:t})=&gt;{t.releaseGraphicsResources(e)})),t._graphicsResources.clear(),null!==t.textureUnitManager&amp;&amp;t.textureUnitManager.freeAll(),t.renderable.getRenderersByReference().forEach((t=&gt;{const n=e.getViewNodeFor(t);n?.releaseGraphicsResources()}))};const i={...e};Wv.forEach((n=&gt;{e[n]=(...e)=&gt;t.rootOpenGLRenderWindow?t.rootOpenGLRenderWindow[n](...e):i[n](...e)}))}const Jv={cullFaceEnabled:!1,shaderCache:null,initialized:!1,context:null,context2D:null,canvas:null,cursorVisibility:!0,cursor:&quot;pointer&quot;,textureUnitManager:null,textureResourceIds:null,containerSize:null,renderPasses:[],notifyStartCaptureImage:!1,webgl2:!1,defaultToWebgl2:!0,activeFramebuffer:null,imageFormat:&quot;image/png&quot;,useOffScreen:!1,useBackgroundImage:!1};const Zv=sn.newInstance((function(e,t,n={}){Object.assign(t,Jv,n),Gv.extend(e,t,n),t.canvas||(t.canvas=document.createElement(&quot;canvas&quot;),t.canvas.style.width=&quot;100%&quot;),t.selector||(t.selector=af.newInstance(),t.selector.setOpenGLRenderWindow(e)),t.bgImage=new Image,t.bgImage.style.position=&quot;absolute&quot;,t.bgImage.style.left=&quot;0&quot;,t.bgImage.style.top=&quot;0&quot;,t.bgImage.style.width=&quot;100%&quot;,t.bgImage.style.height=&quot;100%&quot;,t.bgImage.style.zIndex=&quot;-1&quot;,t._textureResourceIds=new Map,t._graphicsResources=new Map,t._glInformation=null,t.myFactory=yn.newInstance(),t.shaderCache=Ev.newInstance(),t.shaderCache.setOpenGLRenderWindow(e),t.renderPasses[0]=wv.newInstance(),sn.get(e,t,[&quot;shaderCache&quot;,&quot;textureUnitManager&quot;,&quot;webgl2&quot;,&quot;useBackgroundImage&quot;,&quot;activeFramebuffer&quot;,&quot;rootOpenGLRenderWindow&quot;]),sn.setGet(e,t,[&quot;initialized&quot;,&quot;context&quot;,&quot;context2D&quot;,&quot;canvas&quot;,&quot;renderPasses&quot;,&quot;notifyStartCaptureImage&quot;,&quot;defaultToWebgl2&quot;,&quot;cursor&quot;,&quot;useOffScreen&quot;]),sn.setGetArray(e,t,[&quot;size&quot;],2),sn.event(e,t,&quot;imageReady&quot;),sn.event(e,t,&quot;windowResizeEvent&quot;),Yv(e,t)}),&quot;vtkOpenGLRenderWindow&quot;);Oh(&quot;WebGL&quot;,Zv),vn(&quot;vtkRenderWindow&quot;,Zv);const Qv={device:null,handle:null};function $v(e,t,n={}){Object.assign(t,Qv,n),sn.obj(e,t),sn.get(e,t,[&quot;lastCameraMTime&quot;]),sn.setGet(e,t,[&quot;device&quot;,&quot;handle&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkWebGPUShaderModule&quot;),e.initialize=(e,n)=&gt;{t.device=e,t.handle=t.device.getHandle().createShaderModule({code:n.getCode()})}}(e,t)}var eT={newInstance:sn.newInstance($v,&quot;vtkWebGPUShaderModule&quot;),extend:$v};const tT={shaderModules:null,device:null,window:null};function nT(e,t,n={}){Object.assign(t,tT,n),t._shaderModules=new Map,sn.obj(e,t),sn.setGet(e,t,[&quot;device&quot;,&quot;window&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkWebGPUShaderCache&quot;),e.getShaderModule=e=&gt;{const n=e.getType(),r=e.getHash(),o=t._shaderModules.keys();for(let e=0;e&lt;o.length;e++){const a=o[e];if(a.getHash()===r&amp;&amp;a.getType()===n)return t._shaderModules.get(a)}const a=eT.newInstance();return a.initialize(t.device,e),t._shaderModules.set(e,a),a}}(e,t)}var rT={newInstance:sn.newInstance(nT,&quot;vtkWebGPUShaderCache&quot;),extend:nT,substitute:function(e,t,n,r=!0){const o=Array.isArray(n)?n.join(&quot;\\n&quot;):n;let a=!1;-1!==e.search(t)&amp;&amp;(a=!0);let i=&quot;&quot;;r&amp;&amp;(i=&quot;g&quot;);const s=new RegExp(t,i);return{replace:a,result:e.replace(s,o)}}};const oT={device:null,handle:null,label:null};function aT(e,t,n={}){Object.assign(t,oT,n),sn.obj(e,t),t.bindables=[],t.bindGroupTime={},sn.obj(t.bindGroupTime,{mtime:0}),sn.get(e,t,[&quot;bindGroupTime&quot;,&quot;handle&quot;,&quot;sizeInBytes&quot;,&quot;usage&quot;]),sn.setGet(e,t,[&quot;label&quot;,&quot;device&quot;,&quot;arrayInformation&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkWebGPUBindGroup&quot;),e.setBindables=n=&gt;{if(t.bindables.length===n.length){let e=!0;for(let r=0;r&lt;t.bindables.length;r++)t.bindables[r]!==n[r]&amp;&amp;(e=!1);if(e)return}t.bindables=n,e.modified()},e.getBindGroupLayout=e=&gt;{const n=[];for(let e=0;e&lt;t.bindables.length;e++){const r=t.bindables[e].getBindGroupLayoutEntry();r.binding=e,n.push(r)}return e.getBindGroupLayout({entries:n})},e.getBindGroup=n=&gt;{let r=e.getMTime();for(let e=0;e&lt;t.bindables.length;e++){const n=t.bindables[e].getBindGroupTime().getMTime();r=n&gt;r?n:r}if(r&lt;t.bindGroupTime.getMTime())return t.bindGroup;const o=[];for(let e=0;e&lt;t.bindables.length;e++){const n=t.bindables[e].getBindGroupEntry();n.binding=e,o.push(n)}return t.bindGroup=n.getHandle().createBindGroup({layout:e.getBindGroupLayout(n),entries:o,label:t.label}),t.bindGroupTime.modified(),t.bindGroup},e.getShaderCode=e=&gt;{const n=[],r=e.getBindGroupLayoutCount(t.label);for(let e=0;e&lt;t.bindables.length;e++)n.push(t.bindables[e].getShaderCode(e,r));return n.join(&quot;\\n&quot;)}}(e,t)}var iT={newInstance:sn.newInstance(aT),extend:aT};const sT={extraPipelineSettings:null,handle:null,layouts:null,renderEncoder:null,shaderDescriptions:null,vertexState:null,topology:null,pipelineDescription:null};function lT(e,t,n={}){Object.assign(t,sT,n),Vt(e,t),t.layouts=[],t.shaderDescriptions=[],Bt(e,t,[&quot;handle&quot;,&quot;pipelineDescription&quot;]),Gt(e,t,[&quot;device&quot;,&quot;extraPipelineSettings&quot;,&quot;renderEncoder&quot;,&quot;topology&quot;,&quot;vertexState&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkWebGPUPipeline&quot;),e.getShaderDescriptions=()=&gt;t.shaderDescriptions,e.applyPipelineSettings=(e,t)=&gt;t?{...e,...t,primitive:{...e.primitive||{},...t.primitive||{}},depthStencil:{...e.depthStencil||{},...t.depthStencil||{}},fragment:{...e.fragment||{},...t.fragment||{}}}:e,e.initialize=(n,r)=&gt;{t.pipelineDescription=e.applyPipelineSettings(t.renderEncoder.getPipelineSettings(),t.extraPipelineSettings),t.pipelineDescription.primitive.topology=t.topology,t.pipelineDescription.vertex=t.vertexState,t.pipelineDescription.label=r;const o=[];for(let e=0;e&lt;t.layouts.length;e++)o.push(t.layouts[e].layout);t.pipelineLayout=n.getHandle().createPipelineLayout({bindGroupLayouts:o}),t.pipelineDescription.layout=t.pipelineLayout;for(let e=0;e&lt;t.shaderDescriptions.length;e++){const r=t.shaderDescriptions[e],o=n.getShaderModule(r);&quot;vertex&quot;===r.getType()&amp;&amp;(t.pipelineDescription.vertex.module=o.getHandle(),t.pipelineDescription.vertex.entryPoint=&quot;main&quot;),&quot;fragment&quot;===r.getType()&amp;&amp;(t.pipelineDescription.fragment.module=o.getHandle(),t.pipelineDescription.fragment.entryPoint=&quot;main&quot;)}t.handle=n.getHandle().createRenderPipeline(t.pipelineDescription)},e.getShaderDescription=e=&gt;{for(let n=0;n&lt;t.shaderDescriptions.length;n++)if(t.shaderDescriptions[n].getType()===e)return t.shaderDescriptions[n];return null},e.addBindGroupLayout=e=&gt;{e&amp;&amp;t.layouts.push({layout:e.getBindGroupLayout(t.device),label:e.getLabel()})},e.getBindGroupLayout=e=&gt;t.layouts[e].layout,e.getBindGroupLayoutCount=e=&gt;{for(let n=0;n&lt;t.layouts.length;n++)if(t.layouts[n].label===e)return n;return 0},e.bindVertexInput=(e,t)=&gt;{t.bindBuffers(e)}}(e,t)}var cT={newInstance:Xt(lT,&quot;vtkWebGPUPipeline&quot;),extend:lT};const uT={type:null,hash:null,code:null,outputNames:null,outputTypes:null};function dT(e,t,n={}){Object.assign(t,uT,n),t.outputNames=[],t.outputTypes=[],t.outputInterpolations=[],t.builtinOutputNames=[],t.builtinOutputTypes=[],t.builtinInputNames=[],t.builtinInputTypes=[],sn.obj(e,t),sn.setGet(e,t,[&quot;type&quot;,&quot;hash&quot;,&quot;code&quot;]),sn.getArray(e,t,[&quot;outputTypes&quot;,&quot;outputNames&quot;,&quot;outputInterpolations&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkWebGPUShaderDescription&quot;),e.hasOutput=e=&gt;t.outputNames.includes(e),e.addOutput=(e,n,r=void 0)=&gt;{t.outputTypes.push(e),t.outputNames.push(n),t.outputInterpolations.push(r)},e.addBuiltinOutput=(e,n)=&gt;{t.builtinOutputTypes.push(e),t.builtinOutputNames.push(n)},e.addBuiltinInput=(e,n)=&gt;{t.builtinInputTypes.push(e),t.builtinInputNames.push(n)},e.replaceShaderCode=(e,n)=&gt;{const r=[];let o=[];if(n&amp;&amp;r.push(n.getShaderCode()),e||t.builtinInputNames.length){const n=[];if(n.push(`struct ${t.type}Input\\n{`),e){const t=e.getOutputNamesByReference(),r=e.getOutputTypesByReference(),o=e.getOutputInterpolationsByReference();for(let e=0;e&lt;t.length;e++)void 0!==o[e]?n.push(`  @location(${e}) @interpolate(${o[e]}) ${t[e]} : ${r[e]},`):n.push(`  @location(${e}) ${t[e]} : ${r[e]},`)}for(let e=0;e&lt;t.builtinInputNames.length;e++)n.push(`  ${t.builtinInputNames[e]} : ${t.builtinInputTypes[e]},`);n.length&gt;1&amp;&amp;(n.push(&quot;};&quot;),o=n,r[r.length-1]+=&quot;,&quot;,r.push(`input: ${t.type}Input`))}if(r.length&amp;&amp;(t.code=rT.substitute(t.code,&quot;//VTK::IOStructs::Input&quot;,r).result),t.outputNames.length+t.builtinOutputNames.length){const e=[`struct ${t.type}Output\\n{`];for(let n=0;n&lt;t.outputNames.length;n++)void 0!==t.outputInterpolations[n]?e.push(`  @location(${n}) @interpolate(${t.outputInterpolations[n]}) ${t.outputNames[n]} : ${t.outputTypes[n]},`):e.push(`  @location(${n}) ${t.outputNames[n]} : ${t.outputTypes[n]},`);for(let n=0;n&lt;t.builtinOutputNames.length;n++)e.push(`  ${t.builtinOutputNames[n]} : ${t.builtinOutputTypes[n]},`);e.push(&quot;};&quot;),o=o.concat(e),t.code=rT.substitute(t.code,&quot;//VTK::IOStructs::Output&quot;,[`-&gt; ${t.type}Output`]).result}t.code=rT.substitute(t.code,&quot;//VTK::IOStructs::Dec&quot;,o).result}}(e,t)}var pT={newInstance:sn.newInstance(dT,&quot;vtkWebGPUShaderDescription&quot;),extend:dT};const fT={r8unorm:{numComponents:1,nativeType:Uint8Array,stride:1,elementSize:1,sampleType:&quot;float&quot;},r8snorm:{numComponents:1,nativeType:Int8Array,stride:1,elementSize:1,sampleType:&quot;float&quot;},r8uint:{numComponents:1,nativeType:Uint8Array,stride:1,elementSize:1,sampleType:&quot;uint&quot;},r8sint:{numComponents:1,nativeType:Int8Array,stride:1,elementSize:1,sampleType:&quot;sint&quot;},r16uint:{numComponents:1,nativeType:Uint16Array,stride:2,elementSize:2,sampleType:&quot;uint&quot;},r16sint:{numComponents:1,nativeType:Int16Array,stride:2,elementSize:2,sampleType:&quot;sint&quot;},r16float:{numComponents:1,nativeType:Float32Array,stride:2,elementSize:2,sampleType:&quot;float&quot;},rg8unorm:{numComponents:2,nativeType:Uint8Array,stride:2,elementSize:1,sampleType:&quot;float&quot;},rg8snorm:{numComponents:2,nativeType:Int8Array,stride:2,elementSize:1,sampleType:&quot;float&quot;},rg8uint:{numComponents:2,nativeType:Uint8Array,stride:2,elementSize:1,sampleType:&quot;uint&quot;},rg8sint:{numComponents:2,nativeType:Int8Array,stride:2,elementSize:1,sampleType:&quot;sint&quot;},r32uint:{numComponents:1,nativeType:Uint32Array,stride:4,elementSize:4,sampleType:&quot;uint&quot;},r32sint:{numComponents:1,nativeType:Int32Array,stride:4,elementSize:4,sampleType:&quot;sint&quot;},r32float:{numComponents:1,nativeType:Float32Array,stride:4,elementSize:4,sampleType:&quot;unfilterable-float&quot;},rg16uint:{numComponents:2,nativeType:Uint16Array,stride:4,elementSize:2,sampleType:&quot;uint&quot;},rg16sint:{numComponents:2,nativeType:Int16Array,stride:4,elementSize:2,sampleType:&quot;sint&quot;},rg16float:{numComponents:2,nativeType:Float32Array,stride:4,elementSize:2,sampleType:&quot;float&quot;},rgba8unorm:{numComponents:4,nativeType:Uint8Array,stride:4,elementSize:1,sampleType:&quot;float&quot;},&quot;rgba8unorm-srgb&quot;:{numComponents:4,nativeType:Uint8Array,stride:4,elementSize:1,sampleType:&quot;float&quot;},rgba8snorm:{numComponents:4,nativeType:Int8Array,stride:4,elementSize:1,sampleType:&quot;float&quot;},rgba8uint:{numComponents:4,nativeType:Uint8Array,stride:4,elementSize:1,sampleType:&quot;uint&quot;},rgba8sint:{numComponents:4,nativeType:Int8Array,stride:4,elementSize:1,sampleType:&quot;sint&quot;},bgra8unorm:{numComponents:4,nativeType:Uint8Array,stride:4,elementSize:1,sampleType:&quot;float&quot;},&quot;bgra8unorm-srgb&quot;:{numComponents:4,nativeType:Uint8Array,stride:4,elementSize:1,sampleType:&quot;float&quot;},rgb9e5ufloat:{numComponents:4,nativeType:Uint32Array,stride:4,sampleType:&quot;float&quot;},rgb10a2unorm:{numComponents:4,nativeType:Uint32Array,stride:4,sampleType:&quot;float&quot;},rg11b10ufloat:{numComponents:4,nativeType:Float32Array,stride:4,sampleType:&quot;float&quot;},rg32uint:{numComponents:2,nativeType:Uint32Array,stride:8,elementSize:4,sampleType:&quot;uint&quot;},rg32sint:{numComponents:2,nativeType:Int32Array,stride:8,elementSize:4,sampleType:&quot;sint&quot;},rg32float:{numComponents:2,nativeType:Float32Array,stride:8,elementSize:4,sampleType:&quot;unfilterable-float&quot;},rgba16uint:{numComponents:4,nativeType:Uint16Array,stride:8,elementSize:2,sampleType:&quot;uint&quot;},rgba16sint:{numComponents:4,nativeType:Int16Array,stride:8,elementSize:2,sampleType:&quot;sint&quot;},rgba16float:{numComponents:4,nativeType:Float32Array,stride:8,elementSize:2,sampleType:&quot;float&quot;},rgba32uint:{numComponents:4,nativeType:Uint32Array,stride:16,elementSize:4,sampleType:&quot;uint&quot;},rgba32sint:{numComponents:4,nativeType:Int32Array,stride:16,elementSize:4,sampleType:&quot;sint&quot;},rgba32float:{numComponents:4,nativeType:Float32Array,stride:16,elementSize:4,sampleType:&quot;unfilterable-float&quot;},stencil8:{numComponents:1,nativeType:Uint8Array,stride:1,elementSize:1,sampleType:&quot;uint&quot;},depth16unorm:{numComponents:1,nativeType:Uint16Array,stride:2,elementSize:2,sampleType:&quot;depth&quot;},depth24plus:{numComponents:1,nativeType:Uint32Array,stride:4,elementSize:3,sampleType:&quot;depth&quot;},&quot;depth24plus-stencil8&quot;:{numComponents:2,nativeType:Uint32Array,stride:4,sampleType:&quot;mixed&quot;},depth32float:{numComponents:1,nativeType:Float32Array,stride:4,elementSize:4,sampleType:&quot;depth&quot;}};var gT={getDetailsFromTextureFormat:function(e){return!e||e.length&lt;6?0:e in fT==!0?fT[e]:(Tt(`unknown format ${e}`),null)},getByteStrideFromBufferFormat:function(e){if(!e||e.length&lt;5)return 0;let t=1;&quot;x&quot;===e[e.length-2]&amp;&amp;(t=Number(e[e.length-1]));const n=1===t?e.length-1:e.length-3,r=Number(e[n]);return Number.isNaN(r)?(Tt(`unknown format ${e}`),0):t*(5-r/2)},getNumberOfComponentsFromBufferFormat:function(e){if(!e||e.length&lt;5)return 0;let t=1;return&quot;x&quot;===e[e.length-2]&amp;&amp;(t=Number(e[e.length-1])),t},getNativeTypeFromBufferFormat:function(e){if(!e||e.length&lt;5)return 0;let t;if(&quot;f&quot;===e[0])t=&quot;Float&quot;;else if(&quot;s&quot;===e[0])t=&quot;Int&quot;;else{if(&quot;u&quot;!==e[0])return void Tt(`unknown format ${e}`);t=&quot;Uint&quot;}const n=e.split(&quot;x&quot;)[0],r=Number(n[n.length-1]);if(!Number.isNaN(r))return t+=8*(5-r/2),t+=&quot;Array&quot;,t;Tt(`unknown format ${e}`)},getShaderTypeFromBufferFormat:function(e){let t;if(&quot;f&quot;===e[0]||&quot;n&quot;===e[1])t=&quot;f32&quot;;else if(&quot;s&quot;===e[0]&amp;&amp;&quot;i&quot;===e[1])t=&quot;i32&quot;;else{if(&quot;u&quot;!==e[0]||&quot;i&quot;!==e[1])return void Tt(`unknown format ${e}`);t=&quot;u32&quot;}let n=1;return&quot;x&quot;===e[e.length-2]&amp;&amp;(n=Number(e[e.length-1])),4===n?`vec4&lt;${t}&gt;`:3===n?`vec3&lt;${t}&gt;`:2===n?`vec2&lt;${t}&gt;`:t},getByteStrideFromShaderFormat:function(e){if(!e)return 0;let t=1;return&quot;vec&quot;===e.substring(0,3)?t=Number(e[3]):&quot;mat&quot;===e.substring(0,3)&amp;&amp;(t=e[3]*e[5]),4*t},getNativeTypeFromShaderFormat:function(e){if(e)return e.includes(&quot;f32&quot;)?&quot;Float32Array&quot;:e.includes(&quot;i32&quot;)?&quot;Int32Array&quot;:e.includes(&quot;u32&quot;)?&quot;Uint32Array&quot;:void Tt(`unknown format ${e}`)}};function mT(e,t){if(e===t)return!0;if(null==e||null==t)return!1;if(e.length!==t.length)return!1;for(let n=0;n&lt;e.length;++n)if(!t.includes(e[n]))return!1;return!0}const hT={inputs:null,bindingDescriptions:!1,attributeDescriptions:null,indexBuffer:null};function vT(e,t,n={}){Object.assign(t,hT,n),Vt(e,t),t.bindingDescriptions=[],t.attributeDescriptions=[],t.inputs=[],Gt(e,t,[&quot;created&quot;,&quot;device&quot;,&quot;handle&quot;,&quot;indexBuffer&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkWebGPUVertexInput&quot;),e.addBuffer=(e,n,r=&quot;vertex&quot;)=&gt;{let o=n;Array.isArray(o)||(o=[o]);for(let n=0;n&lt;t.inputs.length;n++)if(mT(t.inputs[n].names,o)){if(t.inputs[n].buffer===e)return;return void(t.inputs[n].buffer=e)}t.inputs.push({buffer:e,stepMode:r,names:o}),t.inputs=t.inputs.sort(((e,t)=&gt;e.names[0]&lt;t.names[0]?-1:e.names[0]&gt;t.names[0]?1:0))},e.removeBufferIfPresent=e=&gt;{for(let n=0;n&lt;t.inputs.length;n++)t.inputs[n].names.includes(e)&amp;&amp;t.inputs.splice(n,1)},e.getBuffer=e=&gt;{for(let n=0;n&lt;t.inputs.length;n++)if(t.inputs[n].names.includes(e))return t.inputs[n].buffer;return null},e.hasAttribute=e=&gt;{for(let n=0;n&lt;t.inputs.length;n++)if(t.inputs[n].names.includes(e))return!0;return!1},e.getAttributeTime=e=&gt;{for(let n=0;n&lt;t.inputs.length;n++)if(t.inputs[n].names.includes(e))return t.inputs[n].buffer.getSourceTime();return 0},e.getShaderCode=()=&gt;{let e=&quot;&quot;,n=0;for(let r=0;r&lt;t.inputs.length;r++)for(let o=0;o&lt;t.inputs[r].names.length;o++){const a=t.inputs[r].buffer.getArrayInformation()[o],i=gT.getShaderTypeFromBufferFormat(a.format);n&gt;0&amp;&amp;(e+=&quot;,\\n&quot;),e=`${e}  @location(${n}) ${t.inputs[r].names[o]} : ${i}`,n++}return e},e.getVertexInputInformation=()=&gt;{const e={};if(t.inputs.length){const n=[];let r=0;for(let e=0;e&lt;t.inputs.length;e++){const o=t.inputs[e].buffer,a={arrayStride:o.getStrideInBytes(),stepMode:t.inputs[e].stepMode,attributes:[]},i=o.getArrayInformation();for(let n=0;n&lt;t.inputs[e].names.length;n++)a.attributes.push({shaderLocation:r,offset:i[n].offset,format:i[n].format}),r++;n.push(a)}e.buffers=n}return e},e.bindBuffers=e=&gt;{for(let n=0;n&lt;t.inputs.length;n++)e.setVertexBuffer(n,t.inputs[n].buffer.getHandle());t.indexBuffer&amp;&amp;e.setIndexBuffer(t.indexBuffer.getHandle(),t.indexBuffer.getArrayInformation()[0].format)},e.getReady=()=&gt;{},e.releaseGraphicsResources=()=&gt;{t.created&amp;&amp;(t.inputs=[],t.bindingDescriptions=[],t.attributeDescriptions=[])}}(e,t)}var TT={newInstance:Xt(vT,&quot;vtkWebGPUVertexInput&quot;),extend:vT};const xT={additionalBindables:void 0,bindGroup:null,device:null,fragmentShaderTemplate:null,numberOfInstances:1,numberOfVertices:0,pipelineHash:null,shaderReplacements:null,SSBO:null,textureViews:null,topology:&quot;triangle-list&quot;,UBO:null,vertexShaderTemplate:null,WebGPURenderer:null};function yT(e,t,n={}){Object.assign(t,xT,n),pn.extend(e,t,n),t.textureViews=[],t.vertexInput=TT.newInstance(),t.bindGroup=iT.newInstance({label:&quot;mapperBG&quot;}),t.additionalBindables=[],t.fragmentShaderTemplate=t.fragmentShaderTemplate||&quot;\\n//VTK::Renderer::Dec\\n\\n//VTK::Color::Dec\\n\\n//VTK::Normal::Dec\\n\\n//VTK::TCoord::Dec\\n\\n//VTK::Select::Dec\\n\\n//VTK::RenderEncoder::Dec\\n\\n//VTK::Mapper::Dec\\n\\n//VTK::IOStructs::Dec\\n\\n@fragment\\nfn main(\\n//VTK::IOStructs::Input\\n)\\n//VTK::IOStructs::Output\\n{\\n  var output : fragmentOutput;\\n\\n  //VTK::Color::Impl\\n\\n  //VTK::Normal::Impl\\n\\n  //VTK::Light::Impl\\n\\n  //VTK::TCoord::Impl\\n\\n  //VTK::Select::Impl\\n\\n  // var computedColor:vec4&lt;f32&gt; = vec4&lt;f32&gt;(1.0,0.5,0.5,1.0);\\n\\n  //VTK::RenderEncoder::Impl\\n  return output;\\n}\\n&quot;,t.vertexShaderTemplate=t.vertexShaderTemplate||&quot;\\n//VTK::Renderer::Dec\\n\\n//VTK::Color::Dec\\n\\n//VTK::Normal::Dec\\n\\n//VTK::TCoord::Dec\\n\\n//VTK::Select::Dec\\n\\n//VTK::Mapper::Dec\\n\\n//VTK::IOStructs::Dec\\n\\n@vertex\\nfn main(\\n//VTK::IOStructs::Input\\n)\\n//VTK::IOStructs::Output\\n{\\n  var output : vertexOutput;\\n\\n  // var vertex: vec4&lt;f32&gt; = vertexBC;\\n\\n  //VTK::Color::Impl\\n\\n  //VTK::Normal::Impl\\n\\n  //VTK::TCoord::Impl\\n\\n  //VTK::Select::Impl\\n\\n  //VTK::Position::Impl\\n\\n  return output;\\n}\\n&quot;,t.shaderReplacements=new Map,sn.get(e,t,[&quot;pipeline&quot;,&quot;vertexInput&quot;]),sn.setGet(e,t,[&quot;additionalBindables&quot;,&quot;device&quot;,&quot;fragmentShaderTemplate&quot;,&quot;interpolate&quot;,&quot;numberOfInstances&quot;,&quot;numberOfVertices&quot;,&quot;pipelineHash&quot;,&quot;shaderReplacements&quot;,&quot;SSBO&quot;,&quot;textureViews&quot;,&quot;topology&quot;,&quot;UBO&quot;,&quot;vertexShaderTemplate&quot;,&quot;WebGPURenderer&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkWebGPUSimpleMapper&quot;),e.generateShaderDescriptions=(n,r,o)=&gt;{const a=pT.newInstance({type:&quot;vertex&quot;,hash:n,code:t.vertexShaderTemplate}),i=pT.newInstance({type:&quot;fragment&quot;,hash:n,code:t.fragmentShaderTemplate}),s=r.getShaderDescriptions();s.push(a),s.push(i);const l=t.vertexShaderTemplate+t.fragmentShaderTemplate,c=new RegExp(&quot;//VTK::[^:]*::&quot;,&quot;g&quot;),u=l.match(c).filter(((e,t,n)=&gt;n.indexOf(e)===t)),d=u.map((e=&gt;`replaceShader${e.substring(7,e.length-2)}`));for(let e=0;e&lt;d.length;e++){const a=d[e];&quot;replaceShaderIOStructs&quot;!==a&amp;&amp;t.shaderReplacements.has(a)&amp;&amp;t.shaderReplacements.get(a)(n,r,o)}e.replaceShaderIOStructs(n,r,o)},e.replaceShaderIOStructs=(e,t,n)=&gt;{const r=t.getShaderDescription(&quot;vertex&quot;);r.replaceShaderCode(null,n),t.getShaderDescription(&quot;fragment&quot;).replaceShaderCode(r)},e.replaceShaderRenderEncoder=(e,n,r)=&gt;{t.renderEncoder.replaceShaderCode(n)},t.shaderReplacements.set(&quot;replaceShaderRenderEncoder&quot;,e.replaceShaderRenderEncoder),e.replaceShaderRenderer=(e,n,r)=&gt;{if(!t.WebGPURenderer)return;const o=t.WebGPURenderer.getBindGroup().getShaderCode(n),a=n.getShaderDescription(&quot;vertex&quot;);let i=a.getCode();i=rT.substitute(i,&quot;//VTK::Renderer::Dec&quot;,[o]).result,a.setCode(i);const s=n.getShaderDescription(&quot;fragment&quot;);i=s.getCode(),i=rT.substitute(i,&quot;//VTK::Renderer::Dec&quot;,[o]).result,s.setCode(i)},t.shaderReplacements.set(&quot;replaceShaderRenderer&quot;,e.replaceShaderRenderer),e.replaceShaderMapper=(e,n,r)=&gt;{const o=t.bindGroup.getShaderCode(n),a=n.getShaderDescription(&quot;vertex&quot;);let i=a.getCode();i=rT.substitute(i,&quot;//VTK::Mapper::Dec&quot;,[o]).result,a.setCode(i);const s=n.getShaderDescription(&quot;fragment&quot;);s.addBuiltinInput(&quot;bool&quot;,&quot;@builtin(front_facing) frontFacing&quot;),i=s.getCode(),i=rT.substitute(i,&quot;//VTK::Mapper::Dec&quot;,[o]).result,s.setCode(i)},t.shaderReplacements.set(&quot;replaceShaderMapper&quot;,e.replaceShaderMapper),e.replaceShaderPosition=(e,t,n)=&gt;{const r=t.getShaderDescription(&quot;vertex&quot;);r.addBuiltinOutput(&quot;vec4&lt;f32&gt;&quot;,&quot;@builtin(position) Position&quot;);let o=r.getCode();o=rT.substitute(o,&quot;//VTK::Position::Impl&quot;,[&quot;    output.Position = rendererUBO.SCPCMatrix*vertexBC;&quot;]).result,r.setCode(o)},t.shaderReplacements.set(&quot;replaceShaderPosition&quot;,e.replaceShaderPosition),e.replaceShaderTCoord=(e,t,n)=&gt;{t.getShaderDescription(&quot;vertex&quot;).addOutput(&quot;vec2&lt;f32&gt;&quot;,&quot;tcoordVS&quot;)},t.shaderReplacements.set(&quot;replaceShaderTCoord&quot;,e.replaceShaderTCoord),e.addTextureView=e=&gt;{t.textureViews.includes(e)||t.textureViews.push(e)},e.prepareToDraw=n=&gt;{t.renderEncoder=n,e.updateInput(),e.updateBuffers(),e.updateBindings(),e.updatePipeline()},e.updateInput=()=&gt;{},e.updateBuffers=()=&gt;{},e.updateBindings=()=&gt;{t.bindGroup.setBindables(e.getBindables())},e.computePipelineHash=()=&gt;{},e.getPipelineSettings=()=&gt;null,e.registerDrawCallback=n=&gt;{n.registerDrawCallback(t.pipeline,e.draw)},e.prepareAndDraw=n=&gt;{e.prepareToDraw(n),n.setPipeline(t.pipeline),e.draw(n)},e.draw=e=&gt;{const n=e.getBoundPipeline();e.activateBindGroup(t.bindGroup),t.WebGPURenderer&amp;&amp;t.WebGPURenderer.bindUBO(e),n.bindVertexInput(e,t.vertexInput);const r=t.vertexInput.getIndexBuffer();r?e.drawIndexed(r.getIndexCount(),t.numberOfInstances,0,0,0):e.draw(t.numberOfVertices,t.numberOfInstances,0,0)},e.getBindables=()=&gt;{const e=[...t.additionalBindables];t.UBO&amp;&amp;e.push(t.UBO),t.SSBO&amp;&amp;e.push(t.SSBO);for(let n=0;n&lt;t.textureViews.length;n++){e.push(t.textureViews[n]);const r=t.textureViews[n].getSampler();r&amp;&amp;e.push(r)}return e},e.updatePipeline=()=&gt;{e.computePipelineHash(),t.pipeline=t.device.getPipeline(t.pipelineHash),t.pipeline||(t.pipeline=cT.newInstance(),t.pipeline.setDevice(t.device),t.WebGPURenderer&amp;&amp;t.pipeline.addBindGroupLayout(t.WebGPURenderer.getBindGroup()),t.pipeline.addBindGroupLayout(t.bindGroup),e.generateShaderDescriptions(t.pipelineHash,t.pipeline,t.vertexInput),t.pipeline.setExtraPipelineSettings(e.getPipelineSettings()),t.pipeline.setTopology(t.topology),t.pipeline.setRenderEncoder(t.renderEncoder),t.pipeline.setVertexState(t.vertexInput.getVertexInputInformation()),t.device.createPipeline(t.pipelineHash,t.pipeline))}}(e,t)}var bT={newInstance:sn.newInstance(yT,&quot;vtkWebGPUSimpleMapper&quot;),extend:yT};const AT={};function CT(e,t,n={}){Object.assign(t,AT,n),bT.extend(e,t,n),function(e,t){t.classHierarchy.push(&quot;vtkWebGPUFullScreenQuad&quot;),e.replaceShaderPosition=(e,t,n)=&gt;{const r=t.getShaderDescription(&quot;vertex&quot;);r.addBuiltinOutput(&quot;vec4&lt;f32&gt;&quot;,&quot;@builtin(position) Position&quot;),r.addOutput(&quot;vec4&lt;f32&gt;&quot;,&quot;vertexVC&quot;);let o=r.getCode();o=rT.substitute(o,&quot;//VTK::Position::Impl&quot;,[&quot;output.tcoordVS = vec2&lt;f32&gt;(vertexBC.x * 0.5 + 0.5, 1.0 - vertexBC.y * 0.5 - 0.5);&quot;,&quot;output.Position = vec4&lt;f32&gt;(vertexBC, 1.0);&quot;,&quot;output.vertexVC = vec4&lt;f32&gt;(vertexBC, 1);&quot;]).result,r.setCode(o)},t.shaderReplacements.set(&quot;replaceShaderPosition&quot;,e.replaceShaderPosition),e.updateBuffers=()=&gt;{const e=t.device.getBufferManager().getFullScreenQuadBuffer();t.vertexInput.addBuffer(e,[&quot;vertexBC&quot;]),t.numberOfVertices=6}}(e,t)}var ST={newInstance:sn.newInstance(CT,&quot;vtkWebGPUFullScreenQuad&quot;),extend:CT};const PT=[&quot;setBindGroup&quot;,&quot;setIndexBuffer&quot;,&quot;setVertexBuffer&quot;,&quot;draw&quot;,&quot;drawIndexed&quot;];const wT={description:null,handle:null,boundPipeline:null,pipelineHash:null,pipelineSettings:null,replaceShaderCodeFunction:null,depthTextureView:null,label:null};function IT(e,t,n={}){Object.assign(t,wT,n),Vt(e,t),t.description={colorAttachments:[{view:void 0,loadOp:&quot;load&quot;,storeOp:&quot;store&quot;}],depthStencilAttachment:{view:void 0,depthLoadOp:&quot;clear&quot;,depthClearValue:0,depthStoreOp:&quot;store&quot;}},t.replaceShaderCodeFunction=e=&gt;{const t=e.getShaderDescription(&quot;fragment&quot;);t.addOutput(&quot;vec4&lt;f32&gt;&quot;,&quot;outColor&quot;);let n=t.getCode();n=rT.substitute(n,&quot;//VTK::RenderEncoder::Impl&quot;,[&quot;output.outColor = computedColor;&quot;]).result,t.setCode(n)},t.pipelineSettings={primitive:{cullMode:&quot;none&quot;},depthStencil:{depthWriteEnabled:!0,depthCompare:&quot;greater-equal&quot;,format:&quot;depth32float&quot;},fragment:{targets:[{format:&quot;rgba16float&quot;,blend:{color:{srcFactor:&quot;src-alpha&quot;,dstFactor:&quot;one-minus-src-alpha&quot;},alpha:{srcFactor:&quot;one&quot;,dstFactor:&quot;one-minus-src-alpha&quot;}}}]}},t.colorTextureViews=[],Bt(e,t,[&quot;boundPipeline&quot;,&quot;colorTextureViews&quot;]),Gt(e,t,[&quot;depthTextureView&quot;,&quot;description&quot;,&quot;handle&quot;,&quot;label&quot;,&quot;pipelineHash&quot;,&quot;pipelineSettings&quot;,&quot;replaceShaderCodeFunction&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkWebGPURenderEncoder&quot;),e.begin=e=&gt;{t.drawCallbacks=[],t.handle=e.beginRenderPass(t.description),t.label&amp;&amp;t.handle.pushDebugGroup(t.label)},e.end=()=&gt;{for(let n=0;n&lt;t.drawCallbacks.length;n++){const r=t.drawCallbacks[n],o=r.pipeline;e.setPipeline(o);for(let t=0;t&lt;r.callbacks.length;t++)r.callbacks[t](e)}t.label&amp;&amp;t.handle.popDebugGroup(),t.handle.end(),t.boundPipeline=null},e.setPipeline=e=&gt;{if(t.boundPipeline===e)return;t.handle.setPipeline(e.getHandle());const n=e.getPipelineDescription();if(t.colorTextureViews.length!==n.fragment.targets.length)console.log(`mismatched attachment counts on pipeline ${n.fragment.targets.length} while encoder has ${t.colorTextureViews.length}`),console.trace();else for(let e=0;e&lt;t.colorTextureViews.length;e++){const r=t.colorTextureViews[e].getTexture()?.getFormat();r&amp;&amp;r!==n.fragment.targets[e].format&amp;&amp;(console.log(`mismatched attachments for attachment ${e} on pipeline ${n.fragment.targets[e].format} while encoder has ${r}`),console.trace())}if(!t.depthTextureView!=!(&quot;depthStencil&quot;in n))console.log(&quot;mismatched depth attachments&quot;),console.trace();else if(t.depthTextureView){const e=t.depthTextureView.getTexture()?.getFormat();e&amp;&amp;e!==n.depthStencil.format&amp;&amp;(console.log(`mismatched depth attachments on pipeline ${n.depthStencil.format} while encoder has ${e}`),console.trace())}t.boundPipeline=e},e.replaceShaderCode=e=&gt;{t.replaceShaderCodeFunction(e)},e.setColorTextureView=(e,n)=&gt;{t.colorTextureViews[e]!==n&amp;&amp;(t.colorTextureViews[e]=n)},e.activateBindGroup=e=&gt;{const n=t.boundPipeline.getDevice(),r=t.boundPipeline.getBindGroupLayoutCount(e.getLabel());t.handle.setBindGroup(r,e.getBindGroup(n));const o=n.getBindGroupLayoutDescription(e.getBindGroupLayout(n)),a=n.getBindGroupLayoutDescription(t.boundPipeline.getBindGroupLayout(r));o!==a&amp;&amp;(console.log(`renderEncoder ${t.pipelineHash} mismatched bind group layouts bind group has\\n${o}\\n versus pipeline\\n${a}\\n`),console.trace())},e.attachTextureViews=()=&gt;{for(let e=0;e&lt;t.colorTextureViews.length;e++)t.description.colorAttachments[e]?t.description.colorAttachments[e].view=t.colorTextureViews[e].getHandle():t.description.colorAttachments[e]={view:t.colorTextureViews[e].getHandle()};t.depthTextureView&amp;&amp;(t.description.depthStencilAttachment.view=t.depthTextureView.getHandle())},e.registerDrawCallback=(e,n)=&gt;{for(let r=0;r&lt;t.drawCallbacks.length;r++)if(t.drawCallbacks[r].pipeline===e)return void t.drawCallbacks[r].callbacks.push(n);t.drawCallbacks.push({pipeline:e,callbacks:[n]})};for(let n=0;n&lt;PT.length;n++)e[PT[n]]=(...e)=&gt;t.handle[PT[n]](...e)}(e,t)}var OT={newInstance:Xt(IT,&quot;vtkWebGPURenderEncoder&quot;),extend:IT};const RT={device:null,handle:null,label:null,options:null};function MT(e,t,n={}){Object.assign(t,RT,n),sn.obj(e,t),t.options={},t.bindGroupLayoutEntry={visibility:GPUShaderStage.VERTEX|GPUShaderStage.FRAGMENT,sampler:{}},t.bindGroupTime={},sn.obj(t.bindGroupTime,{mtime:0}),sn.get(e,t,[&quot;bindGroupTime&quot;,&quot;handle&quot;,&quot;options&quot;]),sn.setGet(e,t,[&quot;bindGroupLayoutEntry&quot;,&quot;device&quot;,&quot;label&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkWebGPUSampler&quot;),e.create=(e,n={})=&gt;{t.device=e,t.options.addressModeU=n.addressModeU?n.addressModeU:&quot;clamp-to-edge&quot;,t.options.addressModeV=n.addressModeV?n.addressModeV:&quot;clamp-to-edge&quot;,t.options.addressModeW=n.addressModeW?n.addressModeW:&quot;clamp-to-edge&quot;,t.options.magFilter=n.magFilter?n.magFilter:&quot;nearest&quot;,t.options.minFilter=n.minFilter?n.minFilter:&quot;nearest&quot;,t.options.mipmapFilter=n.mipmapFilter?n.mipmapFilter:&quot;nearest&quot;,t.options.label=t.label,t.handle=t.device.getHandle().createSampler(t.options),t.bindGroupTime.modified()},e.getShaderCode=(e,n)=&gt;`@binding(${e}) @group(${n}) var ${t.label}: sampler;`,e.getBindGroupEntry=()=&gt;({resource:t.handle})}(e,t)}var DT={newInstance:sn.newInstance(MT),extend:MT};const ET={texture:null,handle:null,sampler:null,label:null};function VT(e,t,n={}){Object.assign(t,ET,n),sn.obj(e,t),t.bindGroupLayoutEntry={visibility:GPUShaderStage.VERTEX|GPUShaderStage.FRAGMENT,texture:{sampleType:&quot;float&quot;,viewDimension:&quot;2d&quot;}},t.bindGroupTime={},sn.obj(t.bindGroupTime,{mtime:0}),sn.get(e,t,[&quot;bindGroupTime&quot;,&quot;texture&quot;]),sn.setGet(e,t,[&quot;bindGroupLayoutEntry&quot;,&quot;label&quot;,&quot;sampler&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkWebGPUTextureView&quot;),e.create=(e,n)=&gt;{t.texture=e,t.options=n,t.options.dimension=t.options.dimension||&quot;2d&quot;,t.options.label=t.label,t.textureHandle=e.getHandle(),t.handle=t.textureHandle.createView(t.options),t.bindGroupLayoutEntry.texture.viewDimension=t.options.dimension;const r=gT.getDetailsFromTextureFormat(t.texture.getFormat());t.bindGroupLayoutEntry.texture.sampleType=r.sampleType},e.createFromTextureHandle=(e,n)=&gt;{t.texture=null,t.options=n,t.options.dimension=t.options.dimension||&quot;2d&quot;,t.options.label=t.label,t.textureHandle=e,t.handle=t.textureHandle.createView(t.options),t.bindGroupLayoutEntry.texture.viewDimension=t.options.dimension;const r=gT.getDetailsFromTextureFormat(n.format);t.bindGroupLayoutEntry.texture.sampleType=r.sampleType,t.bindGroupTime.modified()},e.getBindGroupEntry=()=&gt;({resource:e.getHandle()}),e.getShaderCode=(e,n)=&gt;{let r=&quot;f32&quot;;&quot;sint&quot;===t.bindGroupLayoutEntry.texture.sampleType?r=&quot;i32&quot;:&quot;uint&quot;===t.bindGroupLayoutEntry.texture.sampleType&amp;&amp;(r=&quot;u32&quot;);let o=`@binding(${e}) @group(${n}) var ${t.label}: texture_${t.options.dimension}&lt;${r}&gt;;`;return&quot;depth&quot;===t.bindGroupLayoutEntry.texture.sampleType&amp;&amp;(o=`@binding(${e}) @group(${n}) var ${t.label}: texture_depth_${t.options.dimension};`),o},e.addSampler=(n,r)=&gt;{const o=DT.newInstance({label:`${t.label}Sampler`});o.create(n,r),e.setSampler(o)},e.getBindGroupTime=()=&gt;(t.texture&amp;&amp;t.texture.getHandle()!==t.textureHandle&amp;&amp;(t.textureHandle=t.texture.getHandle(),t.handle=t.textureHandle.createView(t.options),t.bindGroupTime.modified()),t.bindGroupTime),e.getHandle=()=&gt;(t.texture&amp;&amp;t.texture.getHandle()!==t.textureHandle&amp;&amp;(t.textureHandle=t.texture.getHandle(),t.handle=t.textureHandle.createView(t.options),t.bindGroupTime.modified()),t.handle)}(e,t)}var LT={newInstance:sn.newInstance(VT),extend:VT};const{vtkErrorMacro:BT}=sn;function FT(e,t){t.classHierarchy.push(&quot;vtkWebGPUTexture&quot;);const n=(e,n,r,o)=&gt;{const a=gT.getDetailsFromTextureFormat(t.format),i=n*a.numComponents,s=i*r*o,l=2===a.elementSize&amp;&amp;&quot;float&quot;===a.sampleType;if(!e?.length&amp;&amp;s&gt;0)return BT(&quot;Texture upload failed: missing nativeArray data.&quot;),null;if(e.length&lt;s)return BT(`Texture upload failed: expected ${s} values but received ${e.length}.`),null;const c=e.length&gt;s?e.subarray(0,s):e,u=c.BYTES_PER_ELEMENT||a.elementSize,d=n*a.stride,p=256*Math.floor((d+255)/256),f=((e,t)=&gt;{if(2===e.elementSize&amp;&amp;&quot;float&quot;===e.sampleType)return&quot;Uint16Array&quot;;if(&quot;sint&quot;===e.sampleType){if(1===e.elementSize)return&quot;Int8Array&quot;;if(2===e.elementSize)return&quot;Int16Array&quot;;if(4===e.elementSize)return&quot;Int32Array&quot;}else if(&quot;unfilterable-float&quot;===e.sampleType){if(4===e.elementSize)return&quot;Float32Array&quot;}else{if(1===e.elementSize)return&quot;Uint8Array&quot;;if(2===e.elementSize)return&quot;Uint16Array&quot;;if(4===e.elementSize)return&quot;Uint32Array&quot;}return t})(a,c.constructor.name),g=p/(l?2:sn.newTypedArray(f,0).BYTES_PER_ELEMENT),m=i*u;if(!(l||c.constructor.name!==f||m!==p))return{data:c,bytesPerRow:p};const h=r*o,v=sn.newTypedArray(f,g*h);if(l)for(let e=0;e&lt;h;e++){const t=e*i,n=e*g;for(let e=0;e&lt;i;e++)v[n+e]=Md.toHalf(c[t+e])}else if(g===i)v.set(c);else for(let e=0;e&lt;h;e++)v.set(c.subarray(e*i,(e+1)*i),e*g);return{data:v,bytesPerRow:p}};e.create=(e,n)=&gt;{t.device=e,t.width=n.width,t.height=n.height,t.depth=n.depth?n.depth:1;const r=1===t.depth?&quot;2d&quot;:&quot;3d&quot;;t.format=n.format?n.format:&quot;rgba8unorm&quot;,t.mipLevel=n.mipLevel?n.mipLevel:0,t.usage=n.usage?n.usage:GPUTextureUsage.TEXTURE_BINDING|GPUTextureUsage.COPY_DST,t.handle=t.device.getHandle().createTexture({size:[t.width,t.height,t.depth],format:t.format,usage:t.usage,label:t.label,dimension:r,mipLevelCount:t.mipLevel+1})},e.assignFromHandle=(e,n,r)=&gt;{t.device=e,t.handle=n,t.width=r.width,t.height=r.height,t.depth=r.depth?r.depth:1,t.format=r.format?r.format:&quot;rgba8unorm&quot;,t.usage=r.usage?r.usage:GPUTextureUsage.TEXTURE_BINDING|GPUTextureUsage.COPY_DST},e.writeImageData=r=&gt;{let o=[];const a=n=&gt;{t.device.getHandle().queue.copyExternalImageToTexture({source:n,flipY:r.flip},{texture:t.handle,premultipliedAlpha:!0,mipLevel:0,origin:{x:0,y:0,z:0}},[n.width,n.height,t.depth]),3!==e.getDimensionality()&amp;&amp;t.mipLevel&gt;0&amp;&amp;Eu.generateMipmaps(t.device.getHandle(),t.handle,t.mipLevel+1),t.ready=!0};if(r.canvas)return void a(r.canvas);if(r.imageBitmap)return r.width=r.imageBitmap.width,r.height=r.imageBitmap.height,r.depth=1,r.format=&quot;rgba8unorm&quot;,r.flip=!0,void a(r.imageBitmap);if(r.jsImageData)return r.width=r.jsImageData.width,r.height=r.jsImageData.height,r.depth=1,r.format=&quot;rgba8unorm&quot;,r.flip=!0,void a(r.jsImageData);if(r.image)return r.width=r.image.width,r.height=r.image.height,r.depth=1,r.format=&quot;rgba8unorm&quot;,r.flip=!0,void a(r.image);r.nativeArray&amp;&amp;(o=r.nativeArray);const i=3===e.getDimensionality(),s=n(o,t.width,t.height,i?t.depth:1);if(!s)return;const l=s.data;t.device.getHandle().queue.writeTexture({texture:t.handle,mipLevel:0,origin:{x:0,y:0,z:0}},l,{offset:0,bytesPerRow:s.bytesPerRow,rowsPerImage:t.height},{width:t.width,height:t.height,depthOrArrayLayers:i?t.depth:1}),!i&amp;&amp;t.mipLevel&gt;0&amp;&amp;Eu.generateMipmaps(t.device.getHandle(),t.handle,t.mipLevel+1),t.ready=!0},e.writeSubImageData=r=&gt;{const o=r.x??0,a=r.y??0,i=r.z??0,s=r.width??t.width-o,l=r.height??t.height-a,c=r.depth??t.depth-i,u=r.nativeArray||[];if(!((e,n,r,o,a,i)=&gt;e&lt;0||n&lt;0||r&lt;0||o&lt;=0||a&lt;=0||i&lt;=0?(BT(`Texture upload failed: invalid write region origin=(${e}, ${n}, ${r}) size=(${o}, ${a}, ${i}).`),!1):!(e+o&gt;t.width||n+a&gt;t.height||r+i&gt;t.depth)||(BT(`Texture upload failed: write region origin=(${e}, ${n}, ${r}) size=(${o}, ${a}, ${i}) exceeds texture extent=(${t.width}, ${t.height}, ${t.depth}).`),!1))(o,a,i,s,l,c))return;const d=n(u,s,l,c);d&amp;&amp;(t.device.getHandle().queue.writeTexture({texture:t.handle,mipLevel:0,origin:{x:o,y:a,z:i}},d.data,{offset:0,bytesPerRow:d.bytesPerRow,rowsPerImage:l},{width:s,height:l,depthOrArrayLayers:c}),3!==e.getDimensionality()&amp;&amp;t.mipLevel&gt;0&amp;&amp;Eu.generateMipmaps(t.device.getHandle(),t.handle,t.mipLevel+1),t.ready=!0)},e.getScale=()=&gt;{const e=gT.getDetailsFromTextureFormat(t.format);return 2===e.elementSize&amp;&amp;&quot;float&quot;===e.sampleType?1:255},e.getNumberOfComponents=()=&gt;gT.getDetailsFromTextureFormat(t.format).numComponents,e.getDimensionality=()=&gt;{let e=0;return t.width&gt;1&amp;&amp;e++,t.height&gt;1&amp;&amp;e++,t.depth&gt;1&amp;&amp;e++,e},e.resizeToMatch=e=&gt;{e.getWidth()===t.width&amp;&amp;e.getHeight()===t.height&amp;&amp;e.getDepth()===t.depth||(t.width=e.getWidth(),t.height=e.getHeight(),t.depth=e.getDepth(),t.handle=t.device.getHandle().createTexture({size:[t.width,t.height,t.depth],format:t.format,usage:t.usage,label:t.label}))},e.resize=(e,n,r=1)=&gt;{e===t.width&amp;&amp;n===t.height&amp;&amp;r===t.depth||(t.width=e,t.height=n,t.depth=r,t.handle=t.device.getHandle().createTexture({size:[t.width,t.height,t.depth],format:t.format,usage:t.usage,label:t.label}))},e.createView=(n,r={})=&gt;{r.dimension||(r.dimension=1===t.depth?&quot;2d&quot;:&quot;3d&quot;);const o=LT.newInstance({label:n});return o.create(e,r),o}}const NT={device:null,handle:null,buffer:null,ready:!1,label:null};function kT(e,t,n={}){Object.assign(t,NT,n),sn.obj(e,t),sn.get(e,t,[&quot;handle&quot;,&quot;ready&quot;,&quot;width&quot;,&quot;height&quot;,&quot;depth&quot;,&quot;format&quot;,&quot;usage&quot;]),sn.setGet(e,t,[&quot;device&quot;,&quot;label&quot;]),FT(e,t)}var GT={newInstance:sn.newInstance(kT),extend:kT};const UT={renderEncoder:null,colorTexture:null,depthTexture:null};function _T(e,t,n={}){Object.assign(t,UT,n),vv.extend(e,t,n),sn.get(e,t,[&quot;colorTexture&quot;,&quot;depthTexture&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkWebGPUOpaquePass&quot;),e.traverse=(n,r)=&gt;{if(t.deleted)return;t._currentParent=r;const o=r.getDevice();if(t.renderEncoder)t.colorTexture.resize(r.getCanvas().width,r.getCanvas().height),t.depthTexture.resize(r.getCanvas().width,r.getCanvas().height);else{e.createRenderEncoder(),t.colorTexture=GT.newInstance({label:&quot;opaquePassColor&quot;}),t.colorTexture.create(o,{width:r.getCanvas().width,height:r.getCanvas().height,format:&quot;rgba16float&quot;,usage:GPUTextureUsage.RENDER_ATTACHMENT|GPUTextureUsage.TEXTURE_BINDING|GPUTextureUsage.COPY_SRC});const n=t.colorTexture.createView(&quot;opaquePassColorTexture&quot;);t.renderEncoder.setColorTextureView(0,n),t.depthFormat=&quot;depth32float&quot;,t.depthTexture=GT.newInstance({label:&quot;opaquePassDepth&quot;}),t.depthTexture.create(o,{width:r.getCanvas().width,height:r.getCanvas().height,format:t.depthFormat,usage:GPUTextureUsage.RENDER_ATTACHMENT|GPUTextureUsage.TEXTURE_BINDING|GPUTextureUsage.COPY_SRC});const a=t.depthTexture.createView(&quot;opaquePassDepthTexture&quot;);t.renderEncoder.setDepthTextureView(a)}t.renderEncoder.attachTextureViews(),e.setCurrentOperation(&quot;opaquePass&quot;),n.setRenderEncoder(t.renderEncoder),n.traverse(e)},e.getColorTextureView=()=&gt;t.renderEncoder.getColorTextureViews()[0],e.getDepthTextureView=()=&gt;t.renderEncoder.getDepthTextureView(),e.createRenderEncoder=()=&gt;{t.renderEncoder=OT.newInstance({label:&quot;OpaquePass&quot;}),t.renderEncoder.setPipelineHash(&quot;op&quot;)}}(e,t)}var KT={newInstance:sn.newInstance(_T,&quot;vtkWebGPUOpaquePass&quot;),extend:_T};const zT={colorTextureView:null,depthTextureView:null};function WT(e,t,n={}){Object.assign(t,zT,n),vv.extend(e,t,n),sn.setGet(e,t,[&quot;colorTextureView&quot;,&quot;depthTextureView&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkWebGPUOrderIndependentTranslucentPass&quot;),e.traverse=(n,r)=&gt;{if(t.deleted)return;t._currentParent=r;const o=r.getDevice();if(t.translucentRenderEncoder)t.translucentColorTexture.resizeToMatch(t.colorTextureView.getTexture()),t.translucentAccumulateTexture.resizeToMatch(t.colorTextureView.getTexture());else{e.createRenderEncoder(),e.createFinalEncoder(),t.translucentColorTexture=GT.newInstance({label:&quot;translucentPassColor&quot;}),t.translucentColorTexture.create(o,{width:r.getCanvas().width,height:r.getCanvas().height,format:&quot;rgba16float&quot;,usage:GPUTextureUsage.RENDER_ATTACHMENT|GPUTextureUsage.TEXTURE_BINDING});const n=t.translucentColorTexture.createView(&quot;oitpColorTexture&quot;);t.translucentRenderEncoder.setColorTextureView(0,n),t.translucentAccumulateTexture=GT.newInstance({label:&quot;translucentPassAccumulate&quot;}),t.translucentAccumulateTexture.create(o,{width:r.getCanvas().width,height:r.getCanvas().height,format:&quot;r16float&quot;,usage:GPUTextureUsage.RENDER_ATTACHMENT|GPUTextureUsage.TEXTURE_BINDING});const a=t.translucentAccumulateTexture.createView(&quot;oitpAccumTexture&quot;);t.translucentRenderEncoder.setColorTextureView(1,a),t.fullScreenQuad=ST.newInstance(),t.fullScreenQuad.setDevice(r.getDevice()),t.fullScreenQuad.setPipelineHash(&quot;oitpfsq&quot;),t.fullScreenQuad.setTextureViews(t.translucentRenderEncoder.getColorTextureViews()),t.fullScreenQuad.setFragmentShaderTemplate(&quot;\\n//VTK::Mapper::Dec\\n\\n//VTK::TCoord::Dec\\n\\n//VTK::RenderEncoder::Dec\\n\\n//VTK::IOStructs::Dec\\n\\n@fragment\\nfn main(\\n//VTK::IOStructs::Input\\n)\\n//VTK::IOStructs::Output\\n{\\n  var output: fragmentOutput;\\n\\n  var tcoord: vec2&lt;i32&gt; = vec2&lt;i32&gt;(i32(input.fragPos.x), i32(input.fragPos.y));\\n  var reveal: f32 = textureLoad(oitpAccumTexture, tcoord, 0).r;\\n  if (reveal == 1.0) { discard; }\\n  var tcolor: vec4&lt;f32&gt; = textureLoad(oitpColorTexture, tcoord, 0);\\n  var total: f32 = max(tcolor.a, 0.01);\\n  var computedColor: vec4&lt;f32&gt; = vec4&lt;f32&gt;(tcolor.r/total, tcolor.g/total, tcolor.b/total, 1.0 - reveal);\\n\\n  //VTK::RenderEncoder::Impl\\n  return output;\\n}\\n&quot;)}t.translucentRenderEncoder.setDepthTextureView(t.depthTextureView),t.translucentRenderEncoder.attachTextureViews(),e.setCurrentOperation(&quot;translucentPass&quot;),n.setRenderEncoder(t.translucentRenderEncoder),n.traverse(e),e.finalPass(r,n)},e.finalPass=(e,n)=&gt;{t.translucentFinalEncoder.setColorTextureView(0,t.colorTextureView),t.translucentFinalEncoder.attachTextureViews(),t.translucentFinalEncoder.begin(e.getCommandEncoder()),n.scissorAndViewport(t.translucentFinalEncoder),t.fullScreenQuad.prepareAndDraw(t.translucentFinalEncoder),t.translucentFinalEncoder.end()},e.getTextures=()=&gt;[t.translucentColorTexture,t.translucentAccumulateTexture],e.createRenderEncoder=()=&gt;{t.translucentRenderEncoder=OT.newInstance({label:&quot;translucentRender&quot;});const e=t.translucentRenderEncoder.getDescription();e.colorAttachments=[{view:void 0,clearValue:[0,0,0,0],loadOp:&quot;clear&quot;,storeOp:&quot;store&quot;},{view:void 0,clearValue:[1,0,0,0],loadOp:&quot;clear&quot;,storeOp:&quot;store&quot;}],e.depthStencilAttachment={view:void 0,depthLoadOp:&quot;load&quot;,depthStoreOp:&quot;store&quot;},t.translucentRenderEncoder.setReplaceShaderCodeFunction((e=&gt;{const t=e.getShaderDescription(&quot;fragment&quot;);t.addOutput(&quot;vec4&lt;f32&gt;&quot;,&quot;outColor&quot;),t.addOutput(&quot;f32&quot;,&quot;outAccum&quot;),t.addBuiltinInput(&quot;vec4&lt;f32&gt;&quot;,&quot;@builtin(position) fragPos&quot;);let n=t.getCode();n=rT.substitute(n,&quot;//VTK::RenderEncoder::Impl&quot;,[&quot;var w: f32 = computedColor.a * pow(0.1 + input.fragPos.z, 2.0);&quot;,&quot;output.outColor = vec4&lt;f32&gt;(computedColor.rgb*w, w);&quot;,&quot;output.outAccum = computedColor.a;&quot;]).result,t.setCode(n)})),t.translucentRenderEncoder.setPipelineHash(&quot;oitpr&quot;),t.translucentRenderEncoder.setPipelineSettings({primitive:{cullMode:&quot;none&quot;},depthStencil:{depthWriteEnabled:!1,depthCompare:&quot;greater&quot;,format:&quot;depth32float&quot;},fragment:{targets:[{format:&quot;rgba16float&quot;,blend:{color:{srcFactor:&quot;one&quot;,dstFactor:&quot;one&quot;},alpha:{srcFactor:&quot;one&quot;,dstFactor:&quot;one&quot;}}},{format:&quot;r16float&quot;,blend:{color:{srcFactor:&quot;zero&quot;,dstFactor:&quot;one-minus-src&quot;},alpha:{srcFactor:&quot;one&quot;,dstFactor:&quot;one-minus-src-alpha&quot;}}}]}})},e.createFinalEncoder=()=&gt;{t.translucentFinalEncoder=OT.newInstance({label:&quot;translucentFinal&quot;}),t.translucentFinalEncoder.setDescription({colorAttachments:[{view:null,loadOp:&quot;load&quot;,storeOp:&quot;store&quot;}]}),t.translucentFinalEncoder.setReplaceShaderCodeFunction((e=&gt;{const t=e.getShaderDescription(&quot;fragment&quot;);t.addOutput(&quot;vec4&lt;f32&gt;&quot;,&quot;outColor&quot;),t.addBuiltinInput(&quot;vec4&lt;f32&gt;&quot;,&quot;@builtin(position) fragPos&quot;);let n=t.getCode();n=rT.substitute(n,&quot;//VTK::RenderEncoder::Impl&quot;,[&quot;output.outColor = vec4&lt;f32&gt;(computedColor.rgb, computedColor.a);&quot;]).result,t.setCode(n)})),t.translucentFinalEncoder.setPipelineHash(&quot;oitpf&quot;),t.translucentFinalEncoder.setPipelineSettings({primitive:{cullMode:&quot;none&quot;},fragment:{targets:[{format:&quot;rgba16float&quot;,blend:{color:{srcFactor:&quot;src-alpha&quot;,dstFactor:&quot;one-minus-src-alpha&quot;},alpha:{srcFactor:&quot;one&quot;,dstFactor:&quot;one-minus-src-alpha&quot;}}}]}})}}(e,t)}var HT={newInstance:sn.newInstance(WT,&quot;vtkWebGPUOrderIndependentTranslucentPass&quot;),extend:WT};var jT={BufferUsage:{Verts:0,Lines:1,Triangles:2,Strips:3,LinesFromStrips:4,LinesFromTriangles:5,Points:6,UniformArray:7,PointArray:8,NormalsFromPoints:9,Texture:10,RawVertex:11,Storage:12,Index:13},PrimitiveTypes:{Start:0,Points:0,Lines:1,Triangles:2,TriangleStrips:3,TriangleEdges:4,TriangleStripEdges:5,End:6}};const XT=[&quot;getMappedRange&quot;,&quot;mapAsync&quot;,&quot;unmap&quot;];function qT(e,t){t.classHierarchy.push(&quot;vtkWebGPUBuffer&quot;),e.create=(e,n)=&gt;{t.handle=t.device.getHandle().createBuffer({size:e,usage:n,label:t.label}),t.sizeInBytes=e,t.usage=n},e.write=e=&gt;{!function(e,t,n,r){const o=r.byteLength,a=e.createBuffer({size:o,usage:GPUBufferUsage.COPY_SRC,mappedAtCreation:!0}),i=a.getMappedRange(0,o);new Uint8Array(i).set(new Uint8Array(r)),a.unmap();const s=e.createCommandEncoder();s.copyBufferToBuffer(a,0,t,n,o);const l=s.finish();e.queue.submit([l]),a.destroy()}(t.device.getHandle(),t.handle,0,e.buffer)},e.createAndWrite=(e,n)=&gt;{const r=4*Math.ceil(e.byteLength/4);t.handle=t.device.getHandle().createBuffer({size:r,usage:n,mappedAtCreation:!0,label:t.label}),t.sizeInBytes=r,t.usage=n,new Uint8Array(t.handle.getMappedRange()).set(new Uint8Array(e.buffer)),t.handle.unmap()};for(let n=0;n&lt;XT.length;n++)e[XT[n]]=(...e)=&gt;t.handle[XT[n]](...e)}const YT={device:null,handle:null,sizeInBytes:0,strideInBytes:0,arrayInformation:null,usage:null,label:null,sourceTime:null};function JT(e,t,n={}){Object.assign(t,YT,n),sn.obj(e,t),sn.get(e,t,[&quot;handle&quot;,&quot;sizeInBytes&quot;,&quot;usage&quot;]),sn.setGet(e,t,[&quot;strideInBytes&quot;,&quot;device&quot;,&quot;arrayInformation&quot;,&quot;label&quot;,&quot;sourceTime&quot;]),qT(e,t)}var ZT={newInstance:sn.newInstance(JT),extend:JT,...jT};const{Representation:QT}=us,{PrimitiveTypes:$T}=jT;class ex{constructor(){this.keys=new Uint32Array(10),this.values=new Uint32Array(10),this.count=0}clear(){this.count=0}has(e){for(let t=0;t&lt;this.count;t++)if(this.keys[t]===e)return!0}get(e){for(let t=0;t&lt;this.count;t++)if(this.keys[t]===e)return this.values[t]}set(e,t){this.count&lt;9&amp;&amp;(this.keys[this.count]=e,this.values[this.count++]=t)}}function tx(e,t,n){let r=e.pointIdToFlatId[t];return r&lt;0&amp;&amp;(r=e.flatId,e.pointIdToFlatId[t]=r,e.flatIdToPointId[e.flatId]=t,e.flatIdToCellId[e.flatId]=n,e.flatId++),r}function nx(e,t,n){const r=e.length;for(let o=0;o&lt;r;o++){let a=e[o];if(n.cellProvokedMap.has(a)){n.ibo[n.iboId++]=n.cellProvokedMap.get(a);for(let i=o+1;i&lt;o+r;i++){a=e[i%r];const o=tx(n,a,t);n.ibo[n.iboId++]=o}return}}for(let o=0;o&lt;r;o++){let a=e[o];if(!n.provokedPointIds[a]){let i=tx(n,a,t);n.provokedPointIds[a]=1,n.cellProvokedMap.set(a,i),n.flatIdToCellId[i]=t,n.ibo[n.iboId++]=i;for(let s=o+1;s&lt;o+r;s++)a=e[s%r],i=tx(n,a,t),n.ibo[n.iboId++]=i;return}}let o=e[0],a=n.flatId;n.cellProvokedMap.set(o,a),n.flatIdToPointId[n.flatId]=o,n.flatIdToCellId[n.flatId]=t,n.flatId++,n.ibo[n.iboId++]=a;for(let i=1;i&lt;r;i++)o=e[i],a=tx(n,o,t),n.ibo[n.iboId++]=a}function rx(e,t,n){const r=e.length;n.iboSize+=r;for(let t=0;t&lt;r;t++){const r=e[t];if(n.cellProvokedMap.has(r))return}for(let t=0;t&lt;r;t++){const r=e[t];if(!n.provokedPointIds[r])return n.provokedPointIds[r]=1,void n.cellProvokedMap.set(r,1)}n.cellProvokedMap.set(e[0],1),n.extraPoints++}let ox;const ax=new Uint32Array(1),ix=new Uint32Array(2),sx=new Uint32Array(3),lx={anythingToPoints(e,t,n,r,o){for(let a=0;a&lt;e;++a)ax[0]=t[n+a],ox(ax,r,o)},linesToWireframe(e,t,n,r,o){for(let a=0;a&lt;e-1;++a)ix[0]=t[n+a],ix[1]=t[n+a+1],ox(ix,r,o)},polysToWireframe(e,t,n,r,o){if(e&gt;2)for(let a=0;a&lt;e;++a)ix[0]=t[n+a],ix[1]=t[n+(a+1)%e],ox(ix,r,o)},stripsToWireframe(e,t,n,r,o){if(e&gt;2){for(let a=0;a&lt;e-1;++a)ix[0]=t[n+a],ix[1]=t[n+a+1],ox(ix,r,o);for(let a=0;a&lt;e-2;a++)ix[0]=t[n+a],ix[1]=t[n+a+2],ox(ix,r,o)}},polysToSurface(e,t,n,r,o){for(let a=0;a&lt;e-2;a++)sx[0]=t[n],sx[1]=t[n+a+1],sx[2]=t[n+a+2],ox(sx,r,o)},stripsToSurface(e,t,n,r,o){for(let a=0;a&lt;e-2;a++)sx[0]=t[n+a],sx[1]=t[n+a+1+a%2],sx[2]=t[n+a+1+(a+1)%2],ox(sx,r,o)}};function cx(e,t){t.classHierarchy.push(&quot;vtkWebGPUIndexBuffer&quot;),e.buildIndexBuffer=e=&gt;{const n=e.cells,r=e.primitiveType,o=e.representation,a=e.cellOffset,i=n.getData(),s=i.length,l=function(e){switch(e){case $T.Points:return&quot;points&quot;;case $T.Lines:return&quot;lines&quot;;case $T.Triangles:case $T.TriangleEdges:return&quot;polys&quot;;case $T.TriangleStripEdges:case $T.TriangleStrips:return&quot;strips&quot;;default:return&quot;&quot;}}(r),c=e.numberOfPoints,u={provokedPointIds:new Uint8Array(c),extraPoints:0,iboSize:0,flatId:0,iboId:0,cellProvokedMap:new ex};let d=null;d=o===QT.POINTS||r===$T.Points?lx.anythingToPoints:o===QT.WIREFRAME||r===$T.Lines?lx[`${l}ToWireframe`]:lx[`${l}ToSurface`],ox=rx;let p=a||0;for(let e=0;e&lt;s;)u.cellProvokedMap.clear(),d(i[e],i,e+1,p,u),e+=i[e]+1,p++;u.flatIdToPointId=c&lt;=65535?new Uint16Array(c+u.extraPoints):new Uint32Array(c+u.extraPoints),c+u.extraPoints&lt;36863?u.pointIdToFlatId=new Int16Array(c):u.pointIdToFlatId=new Int32Array(c),c+u.extraPoints&lt;=65535?(u.ibo=new Uint16Array(u.iboSize),e.format=&quot;uint16&quot;):(u.ibo=new Uint32Array(u.iboSize),e.format=&quot;uint32&quot;),u.flatIdToCellId=p&lt;=65535?new Uint16Array(c+u.extraPoints):new Uint32Array(c+u.extraPoints),u.pointIdToFlatId.fill(-1),u.provokedPointIds.fill(0),ox=nx,p=a||0;for(let e=0;e&lt;s;)u.cellProvokedMap.clear(),d(i[e],i,e+1,p,u),e+=i[e]+1,p++;delete u.provokedPointIds,delete u.pointIdToFlatId,e.nativeArray=u.ibo,t.flatIdToPointId=u.flatIdToPointId,t.flatIdToCellId=u.flatIdToCellId,t.flatSize=u.flatId,t.indexCount=u.iboId}}const ux={flatIdToPointId:null,flatIdToCellId:null,flatSize:0,indexCount:0};function dx(e,t,n={}){Object.assign(t,ux,n),ZT.extend(e,t,n),sn.setGet(e,t,[&quot;flatIdToPointId&quot;,&quot;flatIdToCellId&quot;,&quot;flatSize&quot;,&quot;indexCount&quot;]),cx(e,t)}var px={newInstance:sn.newInstance(dx),extend:dx,...jT};const{BufferUsage:fx}=jT,{vtkErrorMacro:gx}=ln,{VtkDataTypes:mx}=Is;function hx(e,t,n,r,o){const a={},i=e.getFlatSize();if(!i)return a;let s=[0,0,0,0];o.shift&amp;&amp;(o.shift.length?s=o.shift:s.fill(o.shift));let l=[1,1,1,1];o.scale&amp;&amp;(o.scale.length?l=o.scale:l.fill(o.scale));const c=!!Object.prototype.hasOwnProperty.call(o,&quot;packExtra&quot;)&amp;&amp;o.packExtra;let u,d=0;const p=Ct(r,i*(n+(c?1:0)));let f=e.getFlatIdToPointId();o.cellData&amp;&amp;(f=e.getFlatIdToCellId()),1===n?u=function(e){p[d++]=l[0]*t[e]+s[0]}:2===n?u=function(e){p[d++]=l[0]*t[e]+s[0],p[d++]=l[1]*t[e+1]+s[1]}:3!==n||c?3===n&amp;&amp;c?u=function(e){p[d++]=l[0]*t[e]+s[0],p[d++]=l[1]*t[e+1]+s[1],p[d++]=l[2]*t[e+2]+s[2],p[d++]=1*l[3]+s[3]}:4===n&amp;&amp;(u=function(e){p[d++]=l[0]*t[e]+s[0],p[d++]=l[1]*t[e+1]+s[1],p[d++]=l[2]*t[e+2]+s[2],p[d++]=l[3]*t[e+3]+s[3]}):u=function(e){p[d++]=l[0]*t[e]+s[0],p[d++]=l[1]*t[e+1]+s[1],p[d++]=l[2]*t[e+2]+s[2]};for(let e=0;e&lt;i;e++){u(n*f[e])}return a.nativeArray=p,a}function vx(e,t,n,r){const o=[];return Wo([e[3*r]-e[3*n],e[3*r+1]-e[3*n+1],e[3*r+2]-e[3*n+2]],[e[3*t]-e[3*n],e[3*t+1]-e[3*n+1],e[3*t+2]-e[3*n+2]],o),jo(o),o}function Tx(e,t){function n(e){let n,r;if(e.dataArray&amp;&amp;!e.nativeArray&amp;&amp;(e.nativeArray=e.dataArray.getData()),e.usage===fx.Index&amp;&amp;(n=px.newInstance({label:e.label}),n.setDevice(t.device),r=GPUBufferUsage.INDEX|GPUBufferUsage.COPY_DST,n.buildIndexBuffer(e),n.createAndWrite(e.nativeArray,r),n.setArrayInformation([{format:e.format}])),n||(n=ZT.newInstance({label:e.label}),n.setDevice(t.device)),e.usage===fx.UniformArray&amp;&amp;(r=GPUBufferUsage.UNIFORM|GPUBufferUsage.COPY_DST,n.createAndWrite(e.nativeArray,r)),e.usage===fx.Storage&amp;&amp;(r=GPUBufferUsage.STORAGE|GPUBufferUsage.COPY_DST,n.createAndWrite(e.nativeArray,r)),e.usage===fx.Texture&amp;&amp;(r=GPUBufferUsage.COPY_SRC,n.createAndWrite(e.nativeArray,r)),e.usage===fx.PointArray){r=GPUBufferUsage.VERTEX;const t=gT.getNativeTypeFromBufferFormat(e.format),o=hx(e.indexBuffer,e.dataArray.getData(),e.dataArray.getNumberOfComponents(),t,{packExtra:e.packExtra,shift:e.shift,scale:e.scale,cellData:e.cellData,cellOffset:e.cellOffset});n.createAndWrite(o.nativeArray,r),n.setStrideInBytes(gT.getByteStrideFromBufferFormat(e.format)),n.setArrayInformation([{offset:0,format:e.format,interpolation:e.cellData?&quot;flat&quot;:&quot;perspective&quot;}])}if(e.usage===fx.NormalsFromPoints){r=GPUBufferUsage.VERTEX;const t=gT.getNativeTypeFromBufferFormat(e.format),o=function(e,t){const n=t.getData(),r=e.getData();if(!r||!n)return null;const o=new Int8Array(4*e.getNumberOfCells()),a=r.length;let i=0;for(let e=0;e&lt;a;){const t=vx(n,r[e+1],r[e+2],r[e+3]);o[i++]=127*t[0],o[i++]=127*t[1],o[i++]=127*t[2],o[i++]=127,e+=r[e]+1}return o}(e.cells,e.dataArray),a=hx(e.indexBuffer,o,4,t,{cellData:!0});n.createAndWrite(a.nativeArray,r),n.setStrideInBytes(gT.getByteStrideFromBufferFormat(e.format)),n.setArrayInformation([{offset:0,format:e.format,interpolation:&quot;flat&quot;}])}return e.usage===fx.RawVertex&amp;&amp;(r=GPUBufferUsage.VERTEX,n.createAndWrite(e.nativeArray,r),n.setStrideInBytes(gT.getByteStrideFromBufferFormat(e.format)),n.setArrayInformation([{offset:0,format:e.format}])),n.setSourceTime(e.time),n}t.classHierarchy.push(&quot;vtkWebGPUBufferManager&quot;),e.hasBuffer=e=&gt;t.device.hasCachedObject(e),e.getBuffer=e=&gt;e.hash?t.device.getCachedObject(e.hash,n,e):n(e),e.getBufferForPointArray=(t,n)=&gt;{const r=function(e){let t;switch(e.getDataType()){case mx.UNSIGNED_CHAR:t=&quot;uint8&quot;;break;case mx.FLOAT:t=&quot;float32&quot;;break;case mx.UNSIGNED_INT:t=&quot;uint32&quot;;break;case mx.INT:t=&quot;sint32&quot;;break;case mx.DOUBLE:t=&quot;float32&quot;;break;case mx.UNSIGNED_SHORT:t=&quot;uint16&quot;;break;case mx.SHORT:t=&quot;sin16&quot;;break;default:t=&quot;float32&quot;}switch(e.getNumberOfComponents()){case 2:t+=&quot;x2&quot;;break;case 3:t.includes(&quot;32&quot;)||gx(`unsupported x3 type for ${t}`),t+=&quot;x3&quot;;break;case 4:t+=&quot;x4&quot;}return t}(t),o={hash:`${t.getMTime()}I${n.getMTime()}${r}`,usage:fx.PointArray,format:r,dataArray:t,indexBuffer:n};return e.getBuffer(o)},e.getFullScreenQuadBuffer=()=&gt;{if(t.fullScreenQuadBuffer)return t.fullScreenQuadBuffer;t.fullScreenQuadBuffer=ZT.newInstance(),t.fullScreenQuadBuffer.setDevice(t.device);const e=new Float32Array([-1,-1,0,1,-1,0,1,1,0,-1,-1,0,1,1,0,-1,1,0]);return t.fullScreenQuadBuffer.createAndWrite(e,GPUBufferUsage.VERTEX),t.fullScreenQuadBuffer.setStrideInBytes(12),t.fullScreenQuadBuffer.setArrayInformation([{offset:0,format:&quot;float32x3&quot;}]),t.fullScreenQuadBuffer}}const xx={device:null,fullScreenQuadBuffer:null};function yx(e,t,n={}){Object.assign(t,xx,n),Vt(e,t),Gt(e,t,[&quot;device&quot;]),Tx(e,t)}var bx={newInstance:Xt(yx),extend:yx,...jT};const{BufferUsage:Ax}=bx,{vtkErrorMacro:Cx}=sn;const Sx={bufferEntries:null,bufferEntryNames:null,sizeInBytes:0,label:null,bindGroupLayoutEntry:null,bindGroupEntry:null};function Px(e,t,n={}){Object.assign(t,Sx,n),sn.obj(e,t),t._bufferEntryNames=new Map,t.bufferEntries=[],t.bindGroupLayoutEntry=t.bindGroupLayoutEntry||{buffer:{type:&quot;uniform&quot;}},t.sendTime={},sn.obj(t.sendTime,{mtime:0}),t.bindGroupTime={},sn.obj(t.bindGroupTime,{mtime:0}),t.sendDirty=!0,t.sortDirty=!0,sn.get(e,t,[&quot;binding&quot;,&quot;bindGroupTime&quot;]),sn.setGet(e,t,[&quot;bindGroupLayoutEntry&quot;,&quot;device&quot;,&quot;label&quot;,&quot;sizeInBytes&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkWebGPUUniformBuffer&quot;),e.addEntry=(e,n)=&gt;{t._bufferEntryNames.has(e)?Cx(`entry named ${e} already exists`):(t.sortDirty=!0,t._bufferEntryNames.set(e,t.bufferEntries.length),t.bufferEntries.push({name:e,type:n,sizeInBytes:gT.getByteStrideFromShaderFormat(n),offset:-1,nativeType:gT.getNativeTypeFromShaderFormat(n),packed:!1}))},e.sortBufferEntries=()=&gt;{if(!t.sortDirty)return;let e=0;const n=[];let r=4;for(let e=0;e&lt;t.bufferEntries.length;e++){const n=t.bufferEntries[e];n.sizeInBytes%16==0&amp;&amp;(r=Math.max(16,r)),n.sizeInBytes%8==0&amp;&amp;(r=Math.max(8,r))}for(let r=0;r&lt;t.bufferEntries.length;r++){const o=t.bufferEntries[r];!1===o.packed&amp;&amp;o.sizeInBytes%16==0&amp;&amp;(o.packed=!0,o.offset=e,n.push(o),e+=o.sizeInBytes)}for(let r=0;r&lt;t.bufferEntries.length;r++){const o=t.bufferEntries[r];if(!1===o.packed&amp;&amp;12===o.sizeInBytes)for(let r=0;r&lt;t.bufferEntries.length;r++){const a=t.bufferEntries[r];if(!1===a.packed&amp;&amp;4===a.sizeInBytes){o.packed=!0,o.offset=e,n.push(o),e+=o.sizeInBytes,a.packed=!0,a.offset=e,n.push(a),e+=a.sizeInBytes;break}}}for(let r=0;r&lt;t.bufferEntries.length;r++){const o=t.bufferEntries[r];if(!o.packed&amp;&amp;o.sizeInBytes%8==0)for(let a=r+1;a&lt;t.bufferEntries.length;a++){const r=t.bufferEntries[a];if(!r.packed&amp;&amp;r.sizeInBytes%8==0){o.packed=!0,o.offset=e,n.push(o),e+=o.sizeInBytes,r.packed=!0,r.offset=e,n.push(r),e+=r.sizeInBytes;break}}}for(let r=0;r&lt;t.bufferEntries.length;r++){const o=t.bufferEntries[r];if(!o.packed&amp;&amp;o.sizeInBytes%8==0){let r=!1;for(let a=0;!r&amp;&amp;a&lt;t.bufferEntries.length;a++){const i=t.bufferEntries[a];if(!i.packed&amp;&amp;4===i.sizeInBytes)for(let s=a+1;s&lt;t.bufferEntries.length;s++){const a=t.bufferEntries[s];if(!a.packed&amp;&amp;4===a.sizeInBytes){o.packed=!0,o.offset=e,n.push(o),e+=o.sizeInBytes,i.packed=!0,i.offset=e,n.push(i),e+=i.sizeInBytes,a.packed=!0,a.offset=e,n.push(a),e+=a.sizeInBytes,r=!0;break}}}}}for(let r=0;r&lt;t.bufferEntries.length;r++){const o=t.bufferEntries[r];!o.packed&amp;&amp;o.sizeInBytes&gt;4&amp;&amp;(o.packed=!0,o.offset=e,n.push(o),e+=o.sizeInBytes)}for(let r=0;r&lt;t.bufferEntries.length;r++){const o=t.bufferEntries[r];o.packed||(o.packed=!0,o.offset=e,n.push(o),e+=o.sizeInBytes)}t.bufferEntries=n,t._bufferEntryNames.clear();for(let e=0;e&lt;t.bufferEntries.length;e++)t._bufferEntryNames.set(t.bufferEntries[e].name,e);t.sizeInBytes=e,t.sizeInBytes=r*Math.ceil(t.sizeInBytes/r),t.sortDirty=!1},e.sendIfNeeded=e=&gt;{if(!t.UBO){const n={nativeArray:t.Float32Array,usage:Ax.UniformArray,label:t.label};t.UBO=e.getBufferManager().getBuffer(n),t.bindGroupTime.modified(),t.sendDirty=!1}t.sendDirty&amp;&amp;(e.getHandle().queue.writeBuffer(t.UBO.getHandle(),0,t.arrayBuffer,0,t.sizeInBytes),t.sendDirty=!1),t.sendTime.modified()},e.createView=e=&gt;{e in t==0&amp;&amp;(t.arrayBuffer||(t.arrayBuffer=new ArrayBuffer(t.sizeInBytes)),t[e]=sn.newTypedArray(e,t.arrayBuffer))},e.setValue=(n,r)=&gt;{e.sortBufferEntries();const o=t._bufferEntryNames.get(n);if(void 0===o)return void Cx(`entry named ${n} not found in UBO`);const a=t.bufferEntries[o];e.createView(a.nativeType);const i=t[a.nativeType];a.lastValue!==r&amp;&amp;(i[a.offset/i.BYTES_PER_ELEMENT]=r,t.sendDirty=!0),a.lastValue=r},e.setArray=(n,r)=&gt;{e.sortBufferEntries();const o=t._bufferEntryNames.get(n);if(void 0===o)return void Cx(`entry named ${n} not found in UBO`);const a=t.bufferEntries[o];e.createView(a.nativeType);const i=t[a.nativeType];let s=!1;for(let e=0;e&lt;r.length;e++)a.lastValue&amp;&amp;a.lastValue[e]===r[e]||(i[a.offset/i.BYTES_PER_ELEMENT+e]=r[e],s=!0);s&amp;&amp;(t.sendDirty=!0,a.lastValue=[...r])},e.getBindGroupEntry=()=&gt;({resource:{buffer:t.UBO.getHandle()}}),e.getSendTime=()=&gt;t.sendTime.getMTime(),e.getShaderCode=(n,r)=&gt;{e.sortBufferEntries();const o=[`struct ${t.label}Struct\\n{`];for(let e=0;e&lt;t.bufferEntries.length;e++){const n=t.bufferEntries[e];o.push(`  ${n.name}: ${n.type},`)}return o.push(`};\\n@binding(${n}) @group(${r}) var&lt;uniform&gt; ${t.label}: ${t.label}Struct;`),o.join(&quot;\\n&quot;)}}(e,t)}var wx={newInstance:sn.newInstance(Px,&quot;vtkWebGPUUniformBuffer&quot;),extend:Px};const{BufferUsage:Ix}=bx,{vtkErrorMacro:Ox}=sn;const Rx={bufferEntries:null,bufferEntryNames:null,sizeInBytes:0,label:null,numberOfInstances:1};function Mx(e,t,n={}){Object.assign(t,Rx,n),sn.obj(e,t),t._bufferEntryNames=new Map,t.bufferEntries=[],t._sendTime={},sn.obj(t._sendTime,{mtime:0}),t.bindGroupTime={},sn.obj(t.bindGroupTime,{mtime:0}),t.bindGroupLayoutEntry=t.bindGroupLayoutEntry||{buffer:{type:&quot;read-only-storage&quot;}},sn.get(e,t,[&quot;bindGroupTime&quot;]),sn.setGet(e,t,[&quot;device&quot;,&quot;bindGroupLayoutEntry&quot;,&quot;label&quot;,&quot;numberOfInstances&quot;,&quot;sizeInBytes&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkWebGPUStorageBuffer&quot;),e.addEntry=(e,n)=&gt;{if(t._bufferEntryNames.has(e))return void Ox(`entry named ${e} already exists`);t._bufferEntryNames.set(e,t.bufferEntries.length);const r=gT.getByteStrideFromShaderFormat(n);t.bufferEntries.push({name:e,type:n,sizeInBytes:r,offset:t.sizeInBytes,nativeType:gT.getNativeTypeFromShaderFormat(n)}),t.sizeInBytes+=r},e.send=e=&gt;{if(!t._buffer){const n={nativeArray:t.Float32Array,usage:Ix.Storage,label:t.label};return t._buffer=e.getBufferManager().getBuffer(n),t.bindGroupTime.modified(),void t._sendTime.modified()}e.getHandle().queue.writeBuffer(t._buffer.getHandle(),0,t.arrayBuffer,0,t.sizeInBytes*t.numberOfInstances),t._sendTime.modified()},e.createView=e=&gt;{e in t==0&amp;&amp;(t.arrayBuffer||(t.arrayBuffer=new ArrayBuffer(t.sizeInBytes*t.numberOfInstances)),t[e]=sn.newTypedArray(e,t.arrayBuffer))},e.setValue=(n,r,o)=&gt;{const a=t._bufferEntryNames.get(n);if(void 0===a)return void Ox(`entry named ${n} not found in UBO`);const i=t.bufferEntries[a];e.createView(i.nativeType);const s=t[i.nativeType];s[(i.offset+r*t.sizeInBytes)/s.BYTES_PER_ELEMENT]=o},e.setArray=(n,r,o)=&gt;{const a=t._bufferEntryNames.get(n);if(void 0===a)return void Ox(`entry named ${n} not found in UBO`);const i=t.bufferEntries[a];e.createView(i.nativeType);const s=t[i.nativeType],l=(i.offset+r*t.sizeInBytes)/s.BYTES_PER_ELEMENT;for(let e=0;e&lt;o.length;e++)s[l+e]=o[e]},e.setAllInstancesFromArray=(n,r)=&gt;{const o=t._bufferEntryNames.get(n);if(void 0===o)return void Ox(`entry named ${n} not found in UBO`);const a=t.bufferEntries[o];e.createView(a.nativeType);const i=t[a.nativeType],s=r.length/t.numberOfInstances;for(let e=0;e&lt;t.numberOfInstances;e++){const n=(a.offset+e*t.sizeInBytes)/i.BYTES_PER_ELEMENT;for(let t=0;t&lt;s;t++)i[n+t]=r[e*s+t]}},e.setAllInstancesFromArrayColorToFloat=(n,r)=&gt;{const o=t._bufferEntryNames.get(n);if(void 0===o)return void Ox(`entry named ${n} not found in UBO`);const a=t.bufferEntries[o];e.createView(a.nativeType);const i=t[a.nativeType],s=r.length/t.numberOfInstances;for(let e=0;e&lt;t.numberOfInstances;e++){const n=(a.offset+e*t.sizeInBytes)/i.BYTES_PER_ELEMENT;for(let t=0;t&lt;s;t++)i[n+t]=r[e*s+t]/255}},e.setAllInstancesFromArray3x3To4x4=(n,r)=&gt;{const o=t._bufferEntryNames.get(n);if(void 0===o)return void Ox(`entry named ${n} not found in UBO`);const a=t.bufferEntries[o];e.createView(a.nativeType);const i=t[a.nativeType];for(let e=0;e&lt;t.numberOfInstances;e++){const n=(a.offset+e*t.sizeInBytes)/i.BYTES_PER_ELEMENT;for(let t=0;t&lt;3;t++)for(let o=0;o&lt;3;o++)i[n+4*t+o]=r[9*e+3*t+o]}},e.getSendTime=()=&gt;t._sendTime.getMTime(),e.getShaderCode=(e,n)=&gt;{const r=[`struct ${t.label}StructEntry\\n{`];for(let e=0;e&lt;t.bufferEntries.length;e++){const n=t.bufferEntries[e];r.push(`  ${n.name}: ${n.type},`)}return r.push(`\\n};\\nstruct ${t.label}Struct\\n{\\n  values: array&lt;${t.label}StructEntry&gt;,\\n};\\n@binding(${e}) @group(${n}) var&lt;storage, read&gt; ${t.label}: ${t.label}Struct;\\n`),r.join(&quot;\\n&quot;)},e.getBindGroupEntry=()=&gt;({resource:{buffer:t._buffer.getHandle()}}),e.clearData=()=&gt;{t.numberOfInstances=0,t.sizeInBytes=0,t.bufferEntries=[],t._bufferEntryNames=new Map,t._buffer=null,delete t.arrayBuffer,delete t.Float32Array}}(e,t)}var Dx={newInstance:sn.newInstance(Mx,&quot;vtkWebGPUStorageBuffer&quot;),extend:Mx};function Ex(e,t,n){const r=e.getClippingPlanes().length;for(let o=0;o&lt;r;o++)e.getClippingPlaneInCoords(t,o,n[o]);return r}const Vx=`\\n//VTK::Renderer::Dec\\n\\n//VTK::Mapper::Dec\\n\\n//VTK::TCoord::Dec\\n\\n//VTK::Volume::TraverseDec\\n\\n//VTK::RenderEncoder::Dec\\n\\n//VTK::IOStructs::Dec\\n\\nfn getTextureValue(vTex: texture_3d&lt;f32&gt;, tpos: vec4&lt;f32&gt;) -&gt; f32\\n{\\n  // todo multicomponent support\\n  return textureSampleLevel(vTex, clampSampler, tpos.xyz, 0.0).r;\\n}\\n\\nfn intersectRayBoundsWithClipPlanes(vNum: i32, minPosSC: vec4&lt;f32&gt;, rayStepSC: vec4&lt;f32&gt;, rayBounds: vec2&lt;f32&gt;) -&gt; vec2&lt;f32&gt;\\n{\\n  var result: vec2&lt;f32&gt; = rayBounds;\\n  let clipCount: i32 = i32(volumeSSBO.values[vNum].clipPlaneStates.x);\\n  if (clipCount &lt;= 0)\\n  {\\n    return result;\\n  }\\n\\n  ${Array.from({length:6},((e,t)=&gt;`\\n  if (clipCount &gt; ${t})\\n  {\\n    let clipPlane${t}: vec4&lt;f32&gt; = volumeSSBO.values[vNum].clipPlane${t};\\n    let rayDirRatio${t}: f32 = dot(rayStepSC, clipPlane${t});\\n    let equationResult${t}: f32 = dot(minPosSC, clipPlane${t});\\n\\n    let absRayDirRatio${t}: f32 = abs(rayDirRatio${t});\\n    if (absRayDirRatio${t} &gt; 1e-6)\\n    {\\n      let intersection${t}: f32 = -equationResult${t} / rayDirRatio${t};\\n      result.x = select(result.x, max(result.x, intersection${t}), rayDirRatio${t} &gt; 0.0);\\n      result.y = select(result.y, min(result.y, intersection${t}), rayDirRatio${t} &lt; 0.0);\\n    }\\n    else if (equationResult${t} &lt; 0.0)\\n    {\\n      result.x = result.y;\\n    }\\n\\n    if (result.x &gt;= result.y)\\n    {\\n      return result;\\n    }\\n  }`)).join(&quot;\\n&quot;)}\\n\\n  return result;\\n}\\n\\nfn getGradient(vTex: texture_3d&lt;f32&gt;, tpos: vec4&lt;f32&gt;, vNum: i32, scalar: f32) -&gt; vec4&lt;f32&gt;\\n{\\n  var result: vec4&lt;f32&gt;;\\n\\n  var tstep: vec4&lt;f32&gt; = volumeSSBO.values[vNum].tstep;\\n  result.x = getTextureValue(vTex, tpos + vec4&lt;f32&gt;(tstep.x, 0.0, 0.0, 1.0)) - scalar;\\n  result.y = getTextureValue(vTex, tpos + vec4&lt;f32&gt;(0.0, tstep.y, 0.0, 1.0)) - scalar;\\n  result.z = getTextureValue(vTex, tpos + vec4&lt;f32&gt;(0.0, 0.0, tstep.z, 1.0)) - scalar;\\n  result.w = 0.0;\\n\\n  // divide by spacing as that is our delta\\n  result = result / volumeSSBO.values[vNum].spacing;\\n  // now we have a gradient in unit tcoords\\n\\n  var grad: f32 = length(result.xyz);\\n  if (grad &gt; 0.0)\\n  {\\n    // rotate to View Coords, needed for lighting and shading\\n    var nMat: mat4x4&lt;f32&gt; = rendererUBO.SCVCMatrix * volumeSSBO.values[vNum].planeNormals;\\n    result = nMat * result;\\n    result = result / length(result);\\n  }\\n\\n  // store gradient magnitude in .w\\n  result.w = grad;\\n\\n  return result;\\n}\\n\\nfn processVolume(vTex: texture_3d&lt;f32&gt;, vNum: i32, cNum: i32, posSC: vec4&lt;f32&gt;, tfunRows: f32) -&gt; vec4&lt;f32&gt;\\n{\\n  var outColor: vec4&lt;f32&gt; = vec4&lt;f32&gt;(0.0, 0.0, 0.0, 0.0);\\n\\n  // convert to tcoords and reject if outside the volume\\n  var tpos: vec4&lt;f32&gt; = volumeSSBO.values[vNum].SCTCMatrix*posSC;\\n  if (tpos.x &lt; 0.0 || tpos.y &lt; 0.0 || tpos.z &lt; 0.0 ||\\n      tpos.x &gt; 1.0 || tpos.y &gt; 1.0 || tpos.z &gt; 1.0) { return outColor; }\\n\\n  var scalar: f32 = getTextureValue(vTex, tpos);\\n\\n  var coord: vec2&lt;f32&gt; =\\n    vec2&lt;f32&gt;(scalar * componentSSBO.values[cNum].cScale + componentSSBO.values[cNum].cShift,\\n      (0.5 + 2.0 * f32(vNum)) / tfunRows);\\n  var color: vec4&lt;f32&gt; = textureSampleLevel(tfunTexture, clampSampler, coord, 0.0);\\n\\n  var gofactor: f32 = 1.0;\\n  var normal: vec4&lt;f32&gt; = vec4&lt;f32&gt;(0.0,0.0,0.0,0.0);\\n  if (componentSSBO.values[cNum].gomin &lt;  1.0 || volumeSSBO.values[vNum].shade[0] &gt; 0.0)\\n  {\\n    normal = getGradient(vTex, tpos, vNum, scalar);\\n    if (componentSSBO.values[cNum].gomin &lt;  1.0)\\n    {\\n      gofactor = clamp(normal.a*componentSSBO.values[cNum].goScale + componentSSBO.values[cNum].goShift,\\n      componentSSBO.values[cNum].gomin, componentSSBO.values[cNum].gomax);\\n    }\\n  }\\n\\n  coord.x = (scalar * componentSSBO.values[cNum].oScale + componentSSBO.values[cNum].oShift);\\n  var opacity: f32 = textureSampleLevel(ofunTexture, clampSampler, coord, 0.0).r;\\n\\n  if (volumeSSBO.values[vNum].shade[0] &gt; 0.0)\\n  {\\n    color = color*abs(normal.z);\\n  }\\n\\n  outColor = vec4&lt;f32&gt;(color.rgb, gofactor * opacity);\\n\\n  return outColor;\\n}\\n\\n// adjust the start and end point of a raycast such that it intersects the unit cube.\\n// This function is used to take a raycast starting point and step vector\\n// and numSteps and return the startijng and ending steps for intersecting the\\n// unit cube. Recall for a 3D texture, the unit cube is the range of texture coordsinates\\n// that have valid values. So this funtion can be used to take a ray in texture coordinates\\n// and bound it to intersecting the texture.\\n//\\nfn adjustBounds(tpos: vec4&lt;f32&gt;, tstep: vec4&lt;f32&gt;, numSteps: f32) -&gt; vec2&lt;f32&gt;\\n{\\n  var result: vec2&lt;f32&gt; = vec2&lt;f32&gt;(0.0, numSteps);\\n  var tpos2: vec4&lt;f32&gt; = tpos + tstep*numSteps;\\n\\n  // move tpos to the start of the volume\\n  var adjust: f32 =\\n    min(\\n      max(tpos.x/tstep.x, (tpos.x - 1.0)/tstep.x),\\n      min(\\n        max((tpos.y - 1.0)/tstep.y, tpos.y/tstep.y),\\n        max((tpos.z - 1.0)/tstep.z, tpos.z/tstep.z)));\\n  if (adjust &lt; 0.0)\\n  {\\n    result.x = result.x - adjust;\\n  }\\n\\n  // adjust length to the end\\n  adjust =\\n    max(\\n      min(tpos2.x/tstep.x, (tpos2.x - 1.0)/tstep.x),\\n      max(\\n        min((tpos2.y - 1.0)/tstep.y, tpos2.y/tstep.y),\\n        min((tpos2.z - 1.0)/tstep.z, tpos2.z/tstep.z)));\\n  if (adjust &gt; 0.0)\\n  {\\n    result.y = result.y - adjust;\\n  }\\n\\n  return result;\\n}\\n\\nfn getSimpleColor(scalar: f32, vNum: i32, cNum: i32) -&gt; vec4&lt;f32&gt;\\n{\\n  // how many rows (tfuns) do we have in our tfunTexture\\n  var tfunRows: f32 = f32(textureDimensions(tfunTexture).y);\\n\\n  var coord: vec2&lt;f32&gt; =\\n    vec2&lt;f32&gt;(scalar * componentSSBO.values[cNum].cScale + componentSSBO.values[cNum].cShift,\\n      (0.5 + 2.0 * f32(vNum)) / tfunRows);\\n  var color: vec4&lt;f32&gt; = textureSampleLevel(tfunTexture, clampSampler, coord, 0.0);\\n  coord.x = (scalar * componentSSBO.values[cNum].oScale + componentSSBO.values[cNum].oShift);\\n  var opacity: f32 = textureSampleLevel(ofunTexture, clampSampler, coord, 0.0).r;\\n  return vec4&lt;f32&gt;(color.rgb, opacity);\\n}\\n\\nfn traverseMax(vTex: texture_3d&lt;f32&gt;, vNum: i32, cNum: i32, rayLengthSC: f32, minPosSC: vec4&lt;f32&gt;, rayStepSC: vec4&lt;f32&gt;)\\n{\\n  // convert to tcoords and reject if outside the volume\\n  var numSteps: f32 = rayLengthSC/mapperUBO.SampleDistance;\\n  var tpos: vec4&lt;f32&gt; = volumeSSBO.values[vNum].SCTCMatrix*minPosSC;\\n  var tpos2: vec4&lt;f32&gt; = volumeSSBO.values[vNum].SCTCMatrix*(minPosSC + rayStepSC);\\n  var tstep: vec4&lt;f32&gt; = tpos2 - tpos;\\n\\n  var rayBounds: vec2&lt;f32&gt; = intersectRayBoundsWithClipPlanes(\\n    vNum,\\n    minPosSC,\\n    rayStepSC,\\n    adjustBounds(tpos, tstep, numSteps));\\n\\n  // did we hit anything\\n  if (rayBounds.x &gt;= rayBounds.y)\\n  {\\n    traverseVals[vNum] = vec4&lt;f32&gt;(0.0,0.0,0.0,0.0);\\n    return;\\n  }\\n\\n  tpos = tpos + tstep*rayBounds.x;\\n  var curDist: f32 = rayBounds.x;\\n  var maxVal: f32 = -1.0e37;\\n  loop\\n  {\\n    var scalar: f32 = getTextureValue(vTex, tpos);\\n    if (scalar &gt; maxVal)\\n    {\\n      maxVal = scalar;\\n    }\\n\\n    // increment position\\n    curDist = curDist + 1.0;\\n    tpos = tpos + tstep;\\n\\n    // check if we have reached a terminating condition\\n    if (curDist &gt; rayBounds.y) { break; }\\n  }\\n\\n  // process to get the color and opacity\\n  traverseVals[vNum] = getSimpleColor(maxVal, vNum, cNum);\\n}\\n\\nfn traverseMin(vTex: texture_3d&lt;f32&gt;, vNum: i32, cNum: i32, rayLengthSC: f32, minPosSC: vec4&lt;f32&gt;, rayStepSC: vec4&lt;f32&gt;)\\n{\\n  // convert to tcoords and reject if outside the volume\\n  var numSteps: f32 = rayLengthSC/mapperUBO.SampleDistance;\\n  var tpos: vec4&lt;f32&gt; = volumeSSBO.values[vNum].SCTCMatrix*minPosSC;\\n  var tpos2: vec4&lt;f32&gt; = volumeSSBO.values[vNum].SCTCMatrix*(minPosSC + rayStepSC);\\n  var tstep: vec4&lt;f32&gt; = tpos2 - tpos;\\n\\n  var rayBounds: vec2&lt;f32&gt; = intersectRayBoundsWithClipPlanes(\\n    vNum,\\n    minPosSC,\\n    rayStepSC,\\n    adjustBounds(tpos, tstep, numSteps));\\n\\n  // did we hit anything\\n  if (rayBounds.x &gt;= rayBounds.y)\\n  {\\n    traverseVals[vNum] = vec4&lt;f32&gt;(0.0,0.0,0.0,0.0);\\n    return;\\n  }\\n\\n  tpos = tpos + tstep*rayBounds.x;\\n  var curDist: f32 = rayBounds.x;\\n  var minVal: f32 = 1.0e37;\\n  loop\\n  {\\n    var scalar: f32 = getTextureValue(vTex, tpos);\\n    if (scalar &lt; minVal)\\n    {\\n      minVal = scalar;\\n    }\\n\\n    // increment position\\n    curDist = curDist + 1.0;\\n    tpos = tpos + tstep;\\n\\n    // check if we have reached a terminating condition\\n    if (curDist &gt; rayBounds.y) { break; }\\n  }\\n\\n  // process to get the color and opacity\\n  traverseVals[vNum] = getSimpleColor(minVal, vNum, cNum);\\n}\\n\\nfn traverseAverage(vTex: texture_3d&lt;f32&gt;, vNum: i32, cNum: i32, rayLengthSC: f32, minPosSC: vec4&lt;f32&gt;, rayStepSC: vec4&lt;f32&gt;)\\n{\\n  // convert to tcoords and reject if outside the volume\\n  var numSteps: f32 = rayLengthSC/mapperUBO.SampleDistance;\\n  var tpos: vec4&lt;f32&gt; = volumeSSBO.values[vNum].SCTCMatrix*minPosSC;\\n  var tpos2: vec4&lt;f32&gt; = volumeSSBO.values[vNum].SCTCMatrix*(minPosSC + rayStepSC);\\n  var tstep: vec4&lt;f32&gt; = tpos2 - tpos;\\n\\n  var rayBounds: vec2&lt;f32&gt; = intersectRayBoundsWithClipPlanes(\\n    vNum,\\n    minPosSC,\\n    rayStepSC,\\n    adjustBounds(tpos, tstep, numSteps));\\n\\n  // did we hit anything\\n  if (rayBounds.x &gt;= rayBounds.y)\\n  {\\n    traverseVals[vNum] = vec4&lt;f32&gt;(0.0,0.0,0.0,0.0);\\n    return;\\n  }\\n\\n  let ipRange: vec4&lt;f32&gt; = volumeSSBO.values[vNum].ipScalarRange;\\n  tpos = tpos + tstep*rayBounds.x;\\n  var curDist: f32 = rayBounds.x;\\n  var avgVal: f32 = 0.0;\\n  var sampleCount: f32 = 0.0;\\n  loop\\n  {\\n    var sample: f32 = getTextureValue(vTex, tpos);\\n    // right now leave filtering off until WebGL changes get merged\\n    // if (ipRange.z == 0.0 || sample &gt;= ipRange.x &amp;&amp; sample &lt;= ipRange.y)\\n    // {\\n      avgVal = avgVal + sample;\\n      sampleCount = sampleCount + 1.0;\\n    // }\\n\\n    // increment position\\n    curDist = curDist + 1.0;\\n    tpos = tpos + tstep;\\n\\n    // check if we have reached a terminating condition\\n    if (curDist &gt; rayBounds.y) { break; }\\n  }\\n\\n  if (sampleCount &lt;= 0.0)\\n  {\\n    traverseVals[vNum] = vec4&lt;f32&gt;(0.0,0.0,0.0,0.0);\\n    return;\\n  }\\n\\n  // process to get the color and opacity\\n  traverseVals[vNum] = getSimpleColor(avgVal/sampleCount, vNum, cNum);\\n}\\n\\nfn traverseAdditive(vTex: texture_3d&lt;f32&gt;, vNum: i32, cNum: i32, rayLengthSC: f32, minPosSC: vec4&lt;f32&gt;, rayStepSC: vec4&lt;f32&gt;)\\n{\\n  // convert to tcoords and reject if outside the volume\\n  var numSteps: f32 = rayLengthSC/mapperUBO.SampleDistance;\\n  var tpos: vec4&lt;f32&gt; = volumeSSBO.values[vNum].SCTCMatrix*minPosSC;\\n  var tpos2: vec4&lt;f32&gt; = volumeSSBO.values[vNum].SCTCMatrix*(minPosSC + rayStepSC);\\n  var tstep: vec4&lt;f32&gt; = tpos2 - tpos;\\n\\n  var rayBounds: vec2&lt;f32&gt; = intersectRayBoundsWithClipPlanes(\\n    vNum,\\n    minPosSC,\\n    rayStepSC,\\n    adjustBounds(tpos, tstep, numSteps));\\n\\n  // did we hit anything\\n  if (rayBounds.x &gt;= rayBounds.y)\\n  {\\n    traverseVals[vNum] = vec4&lt;f32&gt;(0.0,0.0,0.0,0.0);\\n    return;\\n  }\\n\\n  let ipRange: vec4&lt;f32&gt; = volumeSSBO.values[vNum].ipScalarRange;\\n  tpos = tpos + tstep*rayBounds.x;\\n  var curDist: f32 = rayBounds.x;\\n  var sumVal: f32 = 0.0;\\n  loop\\n  {\\n    var sample: f32 = getTextureValue(vTex, tpos);\\n    // right now leave filtering off until WebGL changes get merged\\n    // if (ipRange.z == 0.0 || sample &gt;= ipRange.x &amp;&amp; sample &lt;= ipRange.y)\\n    // {\\n      sumVal = sumVal + sample;\\n    // }\\n    // increment position\\n    curDist = curDist + 1.0;\\n    tpos = tpos + tstep;\\n\\n    // check if we have reached a terminating condition\\n    if (curDist &gt; rayBounds.y) { break; }\\n  }\\n\\n  // process to get the color and opacity\\n  traverseVals[vNum] = getSimpleColor(sumVal, vNum, cNum);\\n}\\n\\nfn composite(rayLengthSC: f32, minPosSC: vec4&lt;f32&gt;, rayStepSC: vec4&lt;f32&gt;) -&gt; vec4&lt;f32&gt;\\n{\\n  // initial ray position is at the beginning\\n  var rayPosSC: vec4&lt;f32&gt; = minPosSC;\\n\\n  // how many rows (tfuns) do we have in our tfunTexture\\n  var tfunRows: f32 = f32(textureDimensions(tfunTexture).y);\\n\\n  var curDist: f32 = 0.0;\\n  var computedColor: vec4&lt;f32&gt; = vec4&lt;f32&gt;(0.0, 0.0, 0.0, 0.0);\\n  var sampleColor: vec4&lt;f32&gt;;\\n  var numSteps: f32 = rayLengthSC/mapperUBO.SampleDistance;\\n//VTK::Volume::TraverseCalls\\n//VTK::Volume::TraverseInit\\n\\n  loop\\n  {\\n    // for each volume, sample and accumulate color\\n//VTK::Volume::CompositeCalls\\n\\n    // increment position\\n    curDist = curDist + mapperUBO.SampleDistance;\\n    rayPosSC = rayPosSC + rayStepSC;\\n\\n    // check if we have reached a terminating condition\\n    if (curDist &gt; rayLengthSC) { break; }\\n    if (computedColor.a &gt; 0.98) { break; }\\n  }\\n  return computedColor;\\n}\\n\\n@fragment\\nfn main(\\n//VTK::IOStructs::Input\\n)\\n//VTK::IOStructs::Output\\n{\\n  var output: fragmentOutput;\\n\\n  var rayMax: f32 = textureSampleLevel(maxTexture, clampSampler, input.tcoordVS, 0.0).r;\\n  var rayMin: f32 = textureSampleLevel(minTexture, clampSampler, input.tcoordVS, 0.0).r;\\n\\n  // discard empty rays\\n  if (rayMax &lt;= rayMin) { discard; }\\n  else\\n  {\\n    // compute start and end ray positions in view coordinates\\n    var minPosSC: vec4&lt;f32&gt; = rendererUBO.PCSCMatrix*vec4&lt;f32&gt;(2.0 * input.tcoordVS.x - 1.0, 1.0 - 2.0 * input.tcoordVS.y, rayMax, 1.0);\\n    minPosSC = minPosSC * (1.0 / minPosSC.w);\\n    var maxPosSC: vec4&lt;f32&gt; = rendererUBO.PCSCMatrix*vec4&lt;f32&gt;(2.0 * input.tcoordVS.x - 1.0, 1.0 - 2.0 * input.tcoordVS.y, rayMin, 1.0);\\n    maxPosSC = maxPosSC * (1.0 / maxPosSC.w);\\n\\n    var rayLengthSC: f32 = distance(minPosSC.xyz, maxPosSC.xyz);\\n    var rayStepSC: vec4&lt;f32&gt; = (maxPosSC - minPosSC)*(mapperUBO.SampleDistance/rayLengthSC);\\n    rayStepSC.w = 0.0;\\n\\n    var computedColor: vec4&lt;f32&gt;;\\n\\n//VTK::Volume::Loop\\n\\n//VTK::RenderEncoder::Impl\\n  }\\n\\n  return output;\\n}\\n`,Lx=new Float64Array(16),Bx=new Float64Array(16);const Fx={volumes:null,rowLength:1024,lastVolumeLength:0};function Nx(e,t,n={}){Object.assign(t,Fx,n),ST.extend(e,t,n),t.fragmentShaderTemplate=Vx,t.UBO=wx.newInstance({label:&quot;mapperUBO&quot;}),t.UBO.addEntry(&quot;SampleDistance&quot;,&quot;f32&quot;),t.SSBO=Dx.newInstance({label:&quot;volumeSSBO&quot;}),t.componentSSBO=Dx.newInstance({label:&quot;componentSSBO&quot;}),t.lutBuildTime={},sn.obj(t.lutBuildTime,{mtime:0}),t.clipPlanes=Array.from({length:6},(()=&gt;[0,0,0,0])),function(e,t){t.classHierarchy.push(&quot;vtkWebGPUVolumePassFSQ&quot;),e.replaceShaderPosition=(e,t,n)=&gt;{const r=t.getShaderDescription(&quot;vertex&quot;);r.addBuiltinOutput(&quot;vec4&lt;f32&gt;&quot;,&quot;@builtin(position) Position&quot;);let o=r.getCode();o=rT.substitute(o,&quot;//VTK::Position::Impl&quot;,[&quot;output.tcoordVS = vec2&lt;f32&gt;(vertexBC.x * 0.5 + 0.5, 1.0 - vertexBC.y * 0.5 - 0.5);&quot;,&quot;output.Position = vec4&lt;f32&gt;(vertexBC, 1.0);&quot;]).result,r.setCode(o),t.getShaderDescription(&quot;fragment&quot;).addBuiltinInput(&quot;vec4&lt;f32&gt;&quot;,&quot;@builtin(position) fragPos&quot;)},t.shaderReplacements.set(&quot;replaceShaderPosition&quot;,e.replaceShaderPosition),e.replaceShaderVolume=(e,n,r)=&gt;{const o=n.getShaderDescription(&quot;fragment&quot;);let a=o.getCode();const i=[],s=[],l=[];for(let e=0;e&lt;t.volumes.length;e++)t.volumes[e].getRenderable().getMapper().getBlendMode()===hg.COMPOSITE_BLEND?(s.push(`  var tpos${e}: vec4&lt;f32&gt; = volumeSSBO.values[${e}].SCTCMatrix*minPosSC;`),s.push(`  var tpos2_${e}: vec4&lt;f32&gt; = volumeSSBO.values[${e}].SCTCMatrix*(minPosSC + rayStepSC);`),s.push(`  var tstep${e}: vec4&lt;f32&gt; = tpos2_${e} - tpos${e};`),s.push(`  var rayBounds${e}: vec2&lt;f32&gt; = intersectRayBoundsWithClipPlanes(${e}, minPosSC, rayStepSC, adjustBounds(tpos${e}, tstep${e}, numSteps));`),i.push(`    if (curDist &gt;= rayBounds${e}.x * mapperUBO.SampleDistance &amp;&amp; curDist &lt;= rayBounds${e}.y * mapperUBO.SampleDistance) {`),i.push(`      sampleColor = processVolume(volTexture${e}, ${e}, ${t.rowStarts[e]}, rayPosSC, tfunRows);`),i.push(&quot;    computedColor = vec4&lt;f32&gt;(\\n          sampleColor.a * sampleColor.rgb * (1.0 - computedColor.a) + computedColor.rgb,\\n          (1.0 - computedColor.a)*sampleColor.a + computedColor.a);&quot;),i.push(&quot;    }&quot;)):(l.push(`  sampleColor = traverseVals[${e}];`),l.push(&quot;  computedColor = vec4&lt;f32&gt;(\\n          sampleColor.a * sampleColor.rgb * (1.0 - computedColor.a) + computedColor.rgb,\\n          (1.0 - computedColor.a)*sampleColor.a + computedColor.a);&quot;));a=rT.substitute(a,&quot;//VTK::Volume::CompositeCalls&quot;,i).result,a=rT.substitute(a,&quot;//VTK::Volume::TraverseCalls&quot;,l).result,a=rT.substitute(a,&quot;//VTK::Volume::TraverseInit&quot;,s).result,a=rT.substitute(a,&quot;//VTK::Volume::TraverseDec&quot;,[`var&lt;private&gt; traverseVals: array&lt;vec4&lt;f32&gt;,${t.volumes.length}&gt;;`]).result;let c=!1;for(let e=0;e&lt;t.volumes.length;e++){const n=t.volumes[e].getRenderable().getMapper().getBlendMode();n===hg.COMPOSITE_BLEND?c=!0:n===hg.MAXIMUM_INTENSITY_BLEND?a=rT.substitute(a,&quot;//VTK::Volume::Loop&quot;,[`    traverseMax(volTexture${e}, ${e}, ${e}, rayLengthSC, minPosSC, rayStepSC);`,`    computedColor = traverseVals[${e}];`,&quot;//VTK::Volume::Loop&quot;]).result:n===hg.MINIMUM_INTENSITY_BLEND?a=rT.substitute(a,&quot;//VTK::Volume::Loop&quot;,[`    traverseMin(volTexture${e}, ${e}, ${e}, rayLengthSC, minPosSC, rayStepSC);`,`    computedColor = traverseVals[${e}];`,&quot;//VTK::Volume::Loop&quot;]).result:n===hg.AVERAGE_INTENSITY_BLEND?a=rT.substitute(a,&quot;//VTK::Volume::Loop&quot;,[`    traverseAverage(volTexture${e}, ${e}, ${e}, rayLengthSC, minPosSC, rayStepSC);`,`    computedColor = traverseVals[${e}];`,&quot;//VTK::Volume::Loop&quot;]).result:n===hg.ADDITIVE_INTENSITY_BLEND&amp;&amp;(a=rT.substitute(a,&quot;//VTK::Volume::Loop&quot;,[`    traverseAdditive(volTexture${e}, ${e}, ${e}, rayLengthSC, minPosSC, rayStepSC);`,`    computedColor = traverseVals[${e}];`,&quot;//VTK::Volume::Loop&quot;]).result)}c&amp;&amp;(a=rT.substitute(a,&quot;//VTK::Volume::Loop&quot;,[&quot;    computedColor = composite(rayLengthSC, minPosSC, rayStepSC);&quot;]).result),o.setCode(a)},t.shaderReplacements.set(&quot;replaceShaderVolume&quot;,e.replaceShaderVolume),e.updateLUTImage=n=&gt;{let r=e.getMTime();for(let e=0;e&lt;t.volumes.length;e++){const n=t.volumes[e].getRenderable(),o=n.getMapper().getInputData();r=Math.max(r,n.getMTime(),o.getMTime())}if(r&lt;t.lutBuildTime.getMTime())return;t.numRows=0,t.rowStarts=[];for(let e=0;e&lt;t.volumes.length;e++){t.rowStarts.push(t.numRows);const n=t.volumes[e].getRenderable(),r=n.getMapper(),o=n.getProperty(),a=r.getInputData(),i=(a.getPointData()&amp;&amp;a.getPointData().getScalars()).getNumberOfComponents(),s=o.getIndependentComponents()?i:1;t.numRows+=s}const o=new Uint8ClampedArray(2*t.numRows*t.rowLength*4),a=new Float32Array(2*t.numRows*t.rowLength);let i=0;const s=new Float32Array(3*t.rowLength),l=t.rowLength;for(let e=0;e&lt;t.volumes.length;e++){const n=t.volumes[e].getRenderable(),r=n.getMapper(),c=n.getProperty(),u=r.getInputData(),d=(u.getPointData()&amp;&amp;u.getPointData().getScalars()).getNumberOfComponents(),p=c.getIndependentComponents()?d:1;for(let e=0;e&lt;p;++e){const n=c.getRGBTransferFunction(e),r=n.getRange();n.getTable(r[0],r[1],l,s,1);let u=i*l*4;for(let e=0;e&lt;l;++e){o[u+4*e]=255*s[3*e],o[u+4*e+1]=255*s[3*e+1],o[u+4*e+2]=255*s[3*e+2],o[u+4*e+3]=255;for(let t=0;t&lt;4;t++)o[u+4*(l+e)+t]=o[u+4*e+t]}const d=c.getScalarOpacity(e),p=t.sampleDist/c.getScalarOpacityUnitDistance(e),f=d.getRange();d.getTable(f[0],f[1],l,s,1),u=i*l;for(let e=0;e&lt;l;++e)a[u+e]=1-(1-s[e])**p,a[u+e+l]=a[u+e];i+=2}}{const e={nativeArray:o,width:t.rowLength,height:2*t.numRows,depth:1,format:&quot;rgba8unorm&quot;},r=n.getTextureManager().getTexture(e).createView(&quot;tfunTexture&quot;);t.textureViews[2]=r}{const e={nativeArray:a,width:t.rowLength,height:2*t.numRows,depth:1,format:&quot;r16float&quot;},r=n.getTextureManager().getTexture(e).createView(&quot;ofunTexture&quot;);t.textureViews[3]=r}t.lutBuildTime.modified()},e.updateSSBO=n=&gt;{let r=Math.max(e.getMTime(),t.WebGPURenderer.getStabilizedTime());for(let e=0;e&lt;t.volumes.length;e++){const n=t.volumes[e].getRenderable(),o=n.getMapper(),a=o.getInputData();r=Math.max(r,n.getMTime(),a.getMTime(),o.getMTime(),o.getClippingPlanesMTime())}if(r&lt;t.SSBO.getSendTime())return;const o=t.WebGPURenderer.getStabilizedCenterByReference();t.SSBO.clearData(),t.SSBO.setNumberOfInstances(t.volumes.length);const a=new Float64Array(16*t.volumes.length),i=new Float64Array(16*t.volumes.length),s=Array.from({length:6},(()=&gt;new Float64Array(4*t.volumes.length))),l=new Float64Array(4*t.volumes.length),c=new Float64Array(4*t.volumes.length),u=new Float64Array(4*t.volumes.length),d=new Float64Array(4*t.volumes.length),p=new Float64Array(4*t.volumes.length);for(let e=0;e&lt;t.volumes.length;e++){const n=t.volumes[e].getRenderable(),r=n.getMapper(),f=r.getInputData();x(Lx),C(Lx,Lx,o);const g=n.getMatrix();y(Bx,g),b(Bx,Bx),A(Lx,Bx,Lx);const m=f.getWorldToIndex();A(Lx,m,Lx);const h=f.getDimensions();x(Bx),S(Bx,Bx,[1/h[0],1/h[1],1/h[2]]),A(Lx,Bx,Lx);for(let t=0;t&lt;16;t++)a[16*e+t]=Lx[t];b(Lx,Lx);for(let t=0;t&lt;4;t++)i[16*e+4*t]=Lx[4*t],i[16*e+4*t+1]=Lx[4*t+1],i[16*e+4*t+2]=Lx[4*t+2],i[16*e+4*t+3]=0;c[4*e]=1/h[0],c[4*e+1]=1/h[1],c[4*e+2]=1/h[2],c[4*e+3]=1,u[4*e]=n.getProperty().getShade()?1:0;const v=f.getSpacing();d[4*e]=v[0],d[4*e+1]=v[1],d[4*e+2]=v[2],d[4*e+3]=1;const T=t.textureViews[e+4].getTexture().getScale(),P=n.getProperty().getIpScalarRange();p[4*e]=P[0]/T,p[4*e+1]=P[1]/T,p[4*e+2]=n.getProperty().getFilterMode(),R(Bx,[-o[0],-o[1],-o[2]]);const w=Ex(r,Bx,t.clipPlanes);l[4*e]=w;for(let n=0;n&lt;w;n++){const r=4*e;s[n][r]=t.clipPlanes[n][0],s[n][r+1]=t.clipPlanes[n][1],s[n][r+2]=t.clipPlanes[n][2],s[n][r+3]=t.clipPlanes[n][3]}}t.SSBO.addEntry(&quot;SCTCMatrix&quot;,&quot;mat4x4&lt;f32&gt;&quot;),t.SSBO.addEntry(&quot;planeNormals&quot;,&quot;mat4x4&lt;f32&gt;&quot;),t.SSBO.addEntry(&quot;shade&quot;,&quot;vec4&lt;f32&gt;&quot;),t.SSBO.addEntry(&quot;tstep&quot;,&quot;vec4&lt;f32&gt;&quot;),t.SSBO.addEntry(&quot;spacing&quot;,&quot;vec4&lt;f32&gt;&quot;),t.SSBO.addEntry(&quot;ipScalarRange&quot;,&quot;vec4&lt;f32&gt;&quot;),function(e,t){for(let n=0;n&lt;6;n++)e.addEntry(`${t}${n}`,&quot;vec4&lt;f32&gt;&quot;)}(t.SSBO,&quot;clipPlane&quot;),t.SSBO.addEntry(&quot;clipPlaneStates&quot;,&quot;vec4&lt;f32&gt;&quot;),t.SSBO.setAllInstancesFromArray(&quot;SCTCMatrix&quot;,a),t.SSBO.setAllInstancesFromArray(&quot;planeNormals&quot;,i),t.SSBO.setAllInstancesFromArray(&quot;shade&quot;,u),t.SSBO.setAllInstancesFromArray(&quot;tstep&quot;,c),t.SSBO.setAllInstancesFromArray(&quot;spacing&quot;,d),t.SSBO.setAllInstancesFromArray(&quot;ipScalarRange&quot;,p);for(let e=0;e&lt;6;e++)t.SSBO.setAllInstancesFromArray(`clipPlane${e}`,s[e]);t.SSBO.setAllInstancesFromArray(&quot;clipPlaneStates&quot;,l),t.SSBO.send(n),t.componentSSBO.clearData(),t.componentSSBO.setNumberOfInstances(t.numRows);const f=new Float64Array(t.numRows),g=new Float64Array(t.numRows),m=new Float64Array(t.numRows),h=new Float64Array(t.numRows),v=new Float64Array(t.numRows),T=new Float64Array(t.numRows),P=new Float64Array(t.numRows),w=new Float64Array(t.numRows);let I=0;for(let e=0;e&lt;t.volumes.length;e++){const n=t.volumes[e].getRenderable(),r=n.getMapper(),o=n.getProperty(),a=r.getInputData(),i=(a.getPointData()&amp;&amp;a.getPointData().getScalars()).getNumberOfComponents(),s=o.getIndependentComponents(),l=t.textureViews[e+4].getTexture().getFormat(),c=gT.getDetailsFromTextureFormat(l),u={scale:[255],offset:[0]};2===c.elementSize&amp;&amp;&quot;float&quot;===c.sampleType&amp;&amp;(u.scale[0]=1);for(let e=0;e&lt;i;e++){const t=s?e:0,n=u.scale[e],r=o.getScalarOpacity(t).getRange(),a=n/(r[1]-r[0]),i=(u.offset[e]-r[0])/(r[1]-r[0]);h[I]=i,m[I]=a;const l=o.getRGBTransferFunction(t).getRange();if(g[I]=(u.offset[e]-l[0])/(l[1]-l[0]),f[I]=n/(l[1]-l[0]),o.getUseGradientOpacity(t)){const e=o.getGradientOpacityMinimumOpacity(t),r=o.getGradientOpacityMaximumOpacity(t);v[I]=e,T[I]=r;const a=[o.getGradientOpacityMinimumValue(t),o.getGradientOpacityMaximumValue(t)];w[I]=n*(r-e)/(a[1]-a[0]),P[I]=-a[0]*(r-e)/(a[1]-a[0])+e}else v[I]=1,T[I]=1,w[I]=0,P[I]=1;I++}}t.componentSSBO.addEntry(&quot;cScale&quot;,&quot;f32&quot;),t.componentSSBO.addEntry(&quot;cShift&quot;,&quot;f32&quot;),t.componentSSBO.addEntry(&quot;oScale&quot;,&quot;f32&quot;),t.componentSSBO.addEntry(&quot;oShift&quot;,&quot;f32&quot;),t.componentSSBO.addEntry(&quot;goShift&quot;,&quot;f32&quot;),t.componentSSBO.addEntry(&quot;goScale&quot;,&quot;f32&quot;),t.componentSSBO.addEntry(&quot;gomin&quot;,&quot;f32&quot;),t.componentSSBO.addEntry(&quot;gomax&quot;,&quot;f32&quot;),t.componentSSBO.setAllInstancesFromArray(&quot;cScale&quot;,f),t.componentSSBO.setAllInstancesFromArray(&quot;cShift&quot;,g),t.componentSSBO.setAllInstancesFromArray(&quot;oScale&quot;,m),t.componentSSBO.setAllInstancesFromArray(&quot;oShift&quot;,h),t.componentSSBO.setAllInstancesFromArray(&quot;goScale&quot;,w),t.componentSSBO.setAllInstancesFromArray(&quot;goShift&quot;,P),t.componentSSBO.setAllInstancesFromArray(&quot;gomin&quot;,v),t.componentSSBO.setAllInstancesFromArray(&quot;gomax&quot;,T),t.componentSSBO.send(n)};const n=e.updateBuffers;e.updateBuffers=()=&gt;{n();let r=t.volumes[0].getRenderable().getMapper().getSampleDistance();for(let e=0;e&lt;t.volumes.length;e++){const n=t.volumes[e].getRenderable().getMapper().getSampleDistance();n&lt;r&amp;&amp;(r=n)}t.sampleDist!==r&amp;&amp;(t.sampleDist=r,t.UBO.setValue(&quot;SampleDistance&quot;,r),t.UBO.sendIfNeeded(t.device));for(let e=0;e&lt;t.volumes.length;e++){const n=t.volumes[e].getRenderable().getMapper().getInputData(),r=t.device.getTextureManager().getTextureForImageData(n);if(!t.textureViews[e+4]||t.textureViews[e+4].getTexture()!==r){const n=r.createView(`volTexture${e}`);t.textureViews[e+4]=n}}if(t.volumes.length&lt;t.lastVolumeLength)for(let e=t.volumes.length;e&lt;t.lastVolumeLength;e++)t.textureViews.pop();t.lastVolumeLength=t.volumes.length,e.updateLUTImage(t.device),e.updateSSBO(t.device),t.clampSampler||(t.clampSampler=DT.newInstance({label:&quot;clampSampler&quot;}),t.clampSampler.create(t.device,{minFilter:&quot;linear&quot;,magFilter:&quot;linear&quot;}))},e.computePipelineHash=()=&gt;{t.pipelineHash=&quot;volfsq&quot;;for(let e=0;e&lt;t.volumes.length;e++){const n=t.volumes[e].getRenderable().getMapper().getBlendMode();t.pipelineHash+=`${n}`}},e.setVolumes=n=&gt;{if(!t.volumes||t.volumes.length!==n.length)return t.volumes=[...n],void e.modified();for(let r=0;r&lt;n.length;r++)if(n[r]!==t.volumes[r])return t.volumes=[...n],void e.modified()};const r=e.getBindables;e.getBindables=()=&gt;{const e=r();return e.push(t.componentSSBO),e.push(t.clampSampler),e}}(e,t)}var kx={newInstance:sn.newInstance(Nx,&quot;vtkWebGPUVolumePassFSQ&quot;),extend:Nx};const{Representation:Gx}=us,{BufferUsage:Ux,PrimitiveTypes:_x}=bx,Kx=[[0,4,6],[0,6,2],[1,3,7],[1,7,5],[0,5,4],[0,1,5],[2,6,7],[2,7,3],[0,3,1],[0,2,3],[4,5,7],[4,7,6]];const zx={colorTextureView:null,depthTextureView:null,volumes:null};function Wx(e,t,n={}){Object.assign(t,zx,n),vv.extend(e,t,n),t._mapper=bT.newInstance(),t._mapper.setFragmentShaderTemplate(&quot;\\n//VTK::Renderer::Dec\\n\\n//VTK::Select::Dec\\n\\n//VTK::VolumePass::Dec\\n\\n//VTK::TCoord::Dec\\n\\n//VTK::RenderEncoder::Dec\\n\\n//VTK::Mapper::Dec\\n\\n//VTK::IOStructs::Dec\\n\\n@fragment\\nfn main(\\n//VTK::IOStructs::Input\\n)\\n//VTK::IOStructs::Output\\n{\\n  var output : fragmentOutput;\\n\\n  //VTK::Select::Impl\\n\\n  //VTK::TCoord::Impl\\n\\n  //VTK::VolumePass::Impl\\n\\n  // use the maximum (closest) of the current value and the zbuffer\\n  // the blend func will then take the min to find the farthest stop value\\n  var stopval: f32 = max(input.fragPos.z, textureLoad(opaquePassDepthTexture, vec2&lt;i32&gt;(i32(input.fragPos.x), i32(input.fragPos.y)), 0));\\n\\n  //VTK::RenderEncoder::Impl\\n  return output;\\n}\\n&quot;),t._mapper.getShaderReplacements().set(&quot;replaceShaderVolumePass&quot;,((e,t,n)=&gt;{t.getShaderDescription(&quot;fragment&quot;).addBuiltinInput(&quot;vec4&lt;f32&gt;&quot;,&quot;@builtin(position) fragPos&quot;)})),t._boundsPoly=Ru.newInstance(),t._lastMTimes=[],sn.setGet(e,t,[&quot;colorTextureView&quot;,&quot;depthTextureView&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkWebGPUVolumePass&quot;),e.initialize=n=&gt;{t._clearEncoder||e.createClearEncoder(n),t._mergeEncoder||e.createMergeEncoder(n),t._copyEncoder||e.createCopyEncoder(n),t._depthRangeEncoder||e.createDepthRangeEncoder(n),t.fullScreenQuad||(t.fullScreenQuad=kx.newInstance(),t.fullScreenQuad.setDevice(n.getDevice()),t.fullScreenQuad.setTextureViews([...t._depthRangeEncoder.getColorTextureViews()])),t._volumeCopyQuad||(t._volumeCopyQuad=ST.newInstance(),t._volumeCopyQuad.setPipelineHash(&quot;volpassfsq&quot;),t._volumeCopyQuad.setDevice(n.getDevice()),t._volumeCopyQuad.setFragmentShaderTemplate(&quot;\\n//VTK::Renderer::Dec\\n\\n//VTK::Mapper::Dec\\n\\n//VTK::TCoord::Dec\\n\\n//VTK::RenderEncoder::Dec\\n\\n//VTK::IOStructs::Dec\\n\\n@fragment\\nfn main(\\n//VTK::IOStructs::Input\\n)\\n//VTK::IOStructs::Output\\n{\\n  var output: fragmentOutput;\\n\\n  var computedColor: vec4&lt;f32&gt; = textureSample(volumePassColorTexture,\\n    volumePassColorTextureSampler, mapperUBO.tscale*input.tcoordVS);\\n\\n  //VTK::RenderEncoder::Impl\\n  return output;\\n}\\n&quot;),t._copyUBO=wx.newInstance({label:&quot;mapperUBO&quot;}),t._copyUBO.addEntry(&quot;tscale&quot;,&quot;vec2&lt;f32&gt;&quot;),t._volumeCopyQuad.setUBO(t._copyUBO),t._volumeCopyQuad.setTextureViews([t._colorTextureView]))},e.traverse=(n,r)=&gt;{if(t.deleted)return;t._currentParent=r,e.initialize(r),e.computeTiming(r),e.renderDepthBounds(n,r),t._firstGroup=!0;const o=r.getDevice(),a=o.getHandle().limits.maxSampledTexturesPerShaderStage-4;if(t.volumes.length&gt;a){const o=n.getRenderable().getActiveCamera().getPosition(),i=[];for(let e=0;e&lt;t.volumes.length;e++){const n=t.volumes[e].getRenderable().getBounds(),r=[.5*(n[1]+n[0]),.5*(n[3]+n[2]),.5*(n[5]+n[4])];i[e]=Yo(r,o)}const s=[...Array(t.volumes.length).keys()];s.sort(((e,t)=&gt;i[t]-i[e]));let l=[],c=s.length%a;for(let o=0;o&lt;s.length;o++)l.push(t.volumes[s[o]]),l.length&gt;=c&amp;&amp;(e.rayCastPass(r,n,l),l=[],c=a,t._firstGroup=!1)}else e.rayCastPass(r,n,t.volumes);if(t._volumeCopyQuad.setWebGPURenderer(n),t._useSmallViewport){const e=t._colorTextureView.getTexture().getWidth(),n=t._colorTextureView.getTexture().getHeight();t._copyUBO.setArray(&quot;tscale&quot;,[t._smallViewportWidth/e,t._smallViewportHeight/n])}else t._copyUBO.setArray(&quot;tscale&quot;,[1,1]);t._copyUBO.sendIfNeeded(o),t._copyEncoder.setColorTextureView(0,t.colorTextureView),t._copyEncoder.attachTextureViews(),t._copyEncoder.begin(r.getCommandEncoder()),n.scissorAndViewport(t._copyEncoder),t._volumeCopyQuad.prepareAndDraw(t._copyEncoder),t._copyEncoder.end()},e.delete=sn.chain((()=&gt;{t._animationRateSubscription&amp;&amp;(t._animationRateSubscription.unsubscribe(),t._animationRateSubscription=null)}),e.delete),e.computeTiming=e=&gt;{const n=e.getRenderable().getInteractor();if(null==t._lastScale){const e=t.volumes[0].getRenderable().getMapper();t._lastScale=e.getInitialInteractionScale()||1}t._useSmallViewport=!1,n.isAnimating()&amp;&amp;t._lastScale&gt;1.5&amp;&amp;(t._useSmallViewport=!0),t._colorTexture.resize(e.getCanvas().width,e.getCanvas().height),t._animationRateSubscription||(t._animationRateSubscription=n.onAnimationFrameRateUpdate((()=&gt;{const e=t.volumes[0].getRenderable().getMapper();if(e.getAutoAdjustSampleDistances()){const e=n.getRecentAnimationFrameRate(),r=t._lastScale*n.getDesiredUpdateRate()/e;t._lastScale=r,t._lastScale&gt;400&amp;&amp;(t._lastScale=400)}else t._lastScale=e.getImageSampleDistance()*e.getImageSampleDistance();t._lastScale&lt;1.5&amp;&amp;(t._lastScale=1.5)})))},e.rayCastPass=(e,n,r)=&gt;{const o=t._firstGroup?t._clearEncoder:t._mergeEncoder;o.attachTextureViews(),o.begin(e.getCommandEncoder());let a=t._colorTextureView.getTexture().getWidth(),i=t._colorTextureView.getTexture().getHeight();if(t._useSmallViewport){const n=e.getCanvas(),r=1/Math.sqrt(t._lastScale);t._smallViewportWidth=Math.ceil(r*n.width),t._smallViewportHeight=Math.ceil(r*n.height),a=t._smallViewportWidth,i=t._smallViewportHeight}o.getHandle().setViewport(0,0,a,i,0,1),o.getHandle().setScissorRect(0,0,a,i),t.fullScreenQuad.setWebGPURenderer(n),t.fullScreenQuad.setVolumes(r),t.fullScreenQuad.prepareAndDraw(o),o.end()},e.renderDepthBounds=(n,r)=&gt;{e.updateDepthPolyData(n);const o=t._boundsPoly,a=o.getPoints(),i=o.getPolys();let s={hash:`vp${i.getMTime()}`,usage:Ux.Index,cells:i,numberOfPoints:a.getNumberOfPoints(),primitiveType:_x.Triangles,representation:Gx.SURFACE};const l=r.getDevice().getBufferManager().getBuffer(s);t._mapper.getVertexInput().setIndexBuffer(l),s={usage:Ux.PointArray,format:&quot;float32x4&quot;,hash:`vp${a.getMTime()}${i.getMTime()}`,dataArray:a,indexBuffer:l,packExtra:!0};const c=r.getDevice().getBufferManager().getBuffer(s);t._mapper.getVertexInput().addBuffer(c,[&quot;vertexBC&quot;]),t._mapper.setNumberOfVertices(c.getSizeInBytes()/c.getStrideInBytes()),e.drawDepthRange(n,r)},e.updateDepthPolyData=e=&gt;{let n=!1;for(let e=0;e&lt;t.volumes.length;e++){const r=t.volumes[e].getMTime();t._lastMTimes[e]&amp;&amp;r===t._lastMTimes[e]||(n=!0,t._lastMTimes[e]=r)}const r=e.getStabilizedTime();if((t._lastMTimes.length&lt;=t.volumes.length||r!==t._lastMTimes[t.volumes.length])&amp;&amp;(n=!0,t._lastMTimes[t.volumes.length]=r),!n)return;const o=e.getStabilizedCenterByReference(),a=8*t.volumes.length,i=new Float64Array(3*a),s=12*t.volumes.length,l=new Uint16Array(4*s);for(let e=0;e&lt;t.volumes.length;e++){t.volumes[e].getBoundingCubePoints(i,24*e);let n=12*e*4;const r=8*e;for(let e=0;e&lt;12;e++)l[n++]=3,l[n++]=r+Kx[e][0],l[n++]=r+Kx[e][1],l[n++]=r+Kx[e][2]}for(let e=0;e&lt;i.length;e+=3)i[e]-=o[0],i[e+1]-=o[1],i[e+2]-=o[2];t._boundsPoly.getPoints().setData(i,3),t._boundsPoly.getPoints().modified(),t._boundsPoly.getPolys().setData(l,1),t._boundsPoly.getPolys().modified(),t._boundsPoly.modified()},e.drawDepthRange=(n,r)=&gt;{t._depthRangeTexture.resizeToMatch(t.colorTextureView.getTexture()),t._depthRangeTexture2.resizeToMatch(t.colorTextureView.getTexture()),t._depthRangeEncoder.attachTextureViews(),e.setCurrentOperation(&quot;volumeDepthRangePass&quot;),n.setRenderEncoder(t._depthRangeEncoder),n.volumeDepthRangePass(!0),t._mapper.setWebGPURenderer(n),t._mapper.prepareToDraw(t._depthRangeEncoder),t._mapper.registerDrawCallback(t._depthRangeEncoder),n.volumeDepthRangePass(!1)},e.createDepthRangeEncoder=e=&gt;{const n=e.getDevice();t._depthRangeEncoder=OT.newInstance({label:&quot;VolumePass DepthRange&quot;}),t._depthRangeEncoder.setPipelineHash(&quot;volr&quot;),t._depthRangeEncoder.setReplaceShaderCodeFunction((e=&gt;{const t=e.getShaderDescription(&quot;fragment&quot;);t.addOutput(&quot;vec4&lt;f32&gt;&quot;,&quot;outColor1&quot;),t.addOutput(&quot;vec4&lt;f32&gt;&quot;,&quot;outColor2&quot;);let n=t.getCode();n=rT.substitute(n,&quot;//VTK::RenderEncoder::Impl&quot;,[&quot;output.outColor1 = vec4&lt;f32&gt;(input.fragPos.z, 0.0, 0.0, 0.0);&quot;,&quot;output.outColor2 = vec4&lt;f32&gt;(stopval, 0.0, 0.0, 0.0);&quot;]).result,t.setCode(n)})),t._depthRangeEncoder.setDescription({colorAttachments:[{view:null,clearValue:[0,0,0,0],loadOp:&quot;clear&quot;,storeOp:&quot;store&quot;},{view:null,clearValue:[1,1,1,1],loadOp:&quot;clear&quot;,storeOp:&quot;store&quot;}]}),t._depthRangeEncoder.setPipelineSettings({primitive:{cullMode:&quot;none&quot;},fragment:{targets:[{format:&quot;r16float&quot;,blend:{color:{srcFactor:&quot;one&quot;,dstFactor:&quot;one&quot;,operation:&quot;max&quot;},alpha:{srcFactor:&quot;one&quot;,dstFactor:&quot;one&quot;,operation:&quot;max&quot;}}},{format:&quot;r16float&quot;,blend:{color:{srcFactor:&quot;one&quot;,dstFactor:&quot;one&quot;,operation:&quot;min&quot;},alpha:{srcFactor:&quot;one&quot;,dstFactor:&quot;one&quot;,operation:&quot;min&quot;}}}]}}),t._depthRangeTexture=GT.newInstance({label:&quot;volumePassMaxDepth&quot;}),t._depthRangeTexture.create(n,{width:e.getCanvas().width,height:e.getCanvas().height,format:&quot;r16float&quot;,usage:GPUTextureUsage.RENDER_ATTACHMENT|GPUTextureUsage.TEXTURE_BINDING});const r=t._depthRangeTexture.createView(&quot;maxTexture&quot;);t._depthRangeEncoder.setColorTextureView(0,r),t._depthRangeTexture2=GT.newInstance({label:&quot;volumePassDepthMin&quot;}),t._depthRangeTexture2.create(n,{width:e.getCanvas().width,height:e.getCanvas().height,format:&quot;r16float&quot;,usage:GPUTextureUsage.RENDER_ATTACHMENT|GPUTextureUsage.TEXTURE_BINDING});const o=t._depthRangeTexture2.createView(&quot;minTexture&quot;);t._depthRangeEncoder.setColorTextureView(1,o),t._mapper.setDevice(e.getDevice()),t._mapper.setTextureViews([t.depthTextureView])},e.createClearEncoder=e=&gt;{t._colorTexture=GT.newInstance({label:&quot;volumePassColor&quot;}),t._colorTexture.create(e.getDevice(),{width:e.getCanvas().width,height:e.getCanvas().height,format:&quot;bgra8unorm&quot;,usage:GPUTextureUsage.RENDER_ATTACHMENT|GPUTextureUsage.TEXTURE_BINDING|GPUTextureUsage.COPY_SRC}),t._colorTextureView=t._colorTexture.createView(&quot;volumePassColorTexture&quot;),t._colorTextureView.addSampler(e.getDevice(),{minFilter:&quot;linear&quot;,magFilter:&quot;linear&quot;}),t._clearEncoder=OT.newInstance({label:&quot;VolumePass Clear&quot;}),t._clearEncoder.setColorTextureView(0,t._colorTextureView),t._clearEncoder.setDescription({colorAttachments:[{view:null,clearValue:[0,0,0,0],loadOp:&quot;clear&quot;,storeOp:&quot;store&quot;}]}),t._clearEncoder.setPipelineHash(&quot;volpf&quot;),t._clearEncoder.setPipelineSettings({primitive:{cullMode:&quot;none&quot;},fragment:{targets:[{format:&quot;bgra8unorm&quot;,blend:{color:{srcFactor:&quot;src-alpha&quot;,dstFactor:&quot;one-minus-src-alpha&quot;},alpha:{srcFactor:&quot;one&quot;,dstFactor:&quot;one-minus-src-alpha&quot;}}}]}})},e.createCopyEncoder=e=&gt;{t._copyEncoder=OT.newInstance({label:&quot;volumePassCopy&quot;}),t._copyEncoder.setDescription({colorAttachments:[{view:null,loadOp:&quot;load&quot;,storeOp:&quot;store&quot;}]}),t._copyEncoder.setPipelineHash(&quot;volcopypf&quot;),t._copyEncoder.setPipelineSettings({primitive:{cullMode:&quot;none&quot;},fragment:{targets:[{format:&quot;rgba16float&quot;,blend:{color:{srcFactor:&quot;one&quot;,dstFactor:&quot;one-minus-src-alpha&quot;},alpha:{srcFactor:&quot;one&quot;,dstFactor:&quot;one-minus-src-alpha&quot;}}}]}})},e.createMergeEncoder=e=&gt;{t._mergeEncoder=OT.newInstance({label:&quot;volumePassMerge&quot;}),t._mergeEncoder.setColorTextureView(0,t._colorTextureView),t._mergeEncoder.setDescription({colorAttachments:[{view:null,loadOp:&quot;load&quot;,storeOp:&quot;store&quot;}]}),t._mergeEncoder.setReplaceShaderCodeFunction((e=&gt;{const t=e.getShaderDescription(&quot;fragment&quot;);t.addOutput(&quot;vec4&lt;f32&gt;&quot;,&quot;outColor&quot;);let n=t.getCode();n=rT.substitute(n,&quot;//VTK::RenderEncoder::Impl&quot;,[&quot;output.outColor = vec4&lt;f32&gt;(computedColor.rgb, computedColor.a);&quot;]).result,t.setCode(n)})),t._mergeEncoder.setPipelineHash(&quot;volpf&quot;),t._mergeEncoder.setPipelineSettings({primitive:{cullMode:&quot;none&quot;},fragment:{targets:[{format:&quot;bgra8unorm&quot;,blend:{color:{srcFactor:&quot;src-alpha&quot;,dstFactor:&quot;one-minus-src-alpha&quot;},alpha:{srcFactor:&quot;one&quot;,dstFactor:&quot;one-minus-src-alpha&quot;}}}]}})},e.setVolumes=n=&gt;{if(!t.volumes||t.volumes.length!==n.length)return t.volumes=[...n],void e.modified();for(let r=0;r&lt;n.length;r++)if(n[r]!==t.volumes[r])return t.volumes=[...n],void e.modified()}}(e,t)}var Hx={newInstance:sn.newInstance(Wx,&quot;vtkWebGPUVolumePass&quot;),extend:Wx};const jx={opaqueActorCount:0,translucentActorCount:0,volumes:null,opaqueRenderEncoder:null,translucentPass:null,volumePass:null};function Xx(e,t,n={}){Object.assign(t,jx,n),vv.extend(e,t,n),sn.setGet(e,t,[&quot;opaquePass&quot;,&quot;translucentPass&quot;,&quot;volumePass&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkForwardPass&quot;),e.traverse=(n,r=null)=&gt;{if(t.deleted)return;t._currentParent=r,e.setCurrentOperation(&quot;buildPass&quot;),n.traverse(e),t.opaquePass||(t.opaquePass=KT.newInstance());const o=n.getRenderable().getNumberOfLayers(),a=n.getChildren();for(let r=0;r&lt;o;r++)for(let o=0;o&lt;a.length;o++){const i=a[o],s=n.getRenderable().getRenderers()[o];s.getDraw()&amp;&amp;s.getLayer()===r&amp;&amp;(t.opaqueActorCount=0,t.translucentActorCount=0,t.volumes=[],e.setCurrentOperation(&quot;queryPass&quot;),i.traverse(e),e.setCurrentOperation(&quot;cameraPass&quot;),i.traverse(e),t.opaquePass.traverse(i,n),t.translucentActorCount&gt;0&amp;&amp;(t.translucentPass||(t.translucentPass=HT.newInstance()),t.translucentPass.setColorTextureView(t.opaquePass.getColorTextureView()),t.translucentPass.setDepthTextureView(t.opaquePass.getDepthTextureView()),t.translucentPass.traverse(i,n)),t.volumes.length&gt;0&amp;&amp;(t.volumePass||(t.volumePass=Hx.newInstance()),t.volumePass.setColorTextureView(t.opaquePass.getColorTextureView()),t.volumePass.setDepthTextureView(t.opaquePass.getDepthTextureView()),t.volumePass.setVolumes(t.volumes),t.volumePass.traverse(i,n)),e.finalPass(n,i))}},e.finalPass=(n,r)=&gt;{t._finalBlitEncoder||e.createFinalBlitEncoder(n),t._finalBlitOutputTextureView.createFromTextureHandle(n.getCurrentTexture(),{depth:1,format:n.getPresentationFormat()}),t._finalBlitEncoder.attachTextureViews(),t._finalBlitEncoder.begin(n.getCommandEncoder()),r.scissorAndViewport(t._finalBlitEncoder),t._fullScreenQuad.prepareAndDraw(t._finalBlitEncoder),t._finalBlitEncoder.end()},e.createFinalBlitEncoder=e=&gt;{t._finalBlitEncoder=OT.newInstance({label:&quot;forwardPassBlit&quot;}),t._finalBlitEncoder.setDescription({colorAttachments:[{view:null,loadOp:&quot;load&quot;,storeOp:&quot;store&quot;}]}),t._finalBlitEncoder.setPipelineHash(&quot;fpf&quot;),t._finalBlitEncoder.setPipelineSettings({primitive:{cullMode:&quot;none&quot;},fragment:{targets:[{format:e.getPresentationFormat(),blend:{color:{srcFactor:&quot;src-alpha&quot;,dstFactor:&quot;one-minus-src-alpha&quot;},alpha:{srcFactor:&quot;one&quot;,dstFactor:&quot;one-minus-src-alpha&quot;}}}]}}),t._fsqSampler=DT.newInstance({label:&quot;finalPassSampler&quot;}),t._fsqSampler.create(e.getDevice(),{minFilter:&quot;linear&quot;,magFilter:&quot;linear&quot;}),t._fullScreenQuad=ST.newInstance(),t._fullScreenQuad.setDevice(e.getDevice()),t._fullScreenQuad.setPipelineHash(&quot;fpfsq&quot;),t._fullScreenQuad.setTextureViews([t.opaquePass.getColorTextureView()]),t._fullScreenQuad.setAdditionalBindables([t._fsqSampler]),t._fullScreenQuad.setFragmentShaderTemplate(&quot;\\n//VTK::Mapper::Dec\\n\\n//VTK::TCoord::Dec\\n\\n//VTK::RenderEncoder::Dec\\n\\n//VTK::IOStructs::Dec\\n\\n@fragment\\nfn main(\\n//VTK::IOStructs::Input\\n)\\n//VTK::IOStructs::Output\\n{\\n  var output: fragmentOutput;\\n\\n  var computedColor: vec4&lt;f32&gt; = clamp(textureSampleLevel(opaquePassColorTexture, finalPassSampler, input.tcoordVS, 0.0),vec4&lt;f32&gt;(0.0),vec4&lt;f32&gt;(1.0));\\n\\n  //VTK::RenderEncoder::Impl\\n  return output;\\n}\\n&quot;),t._finalBlitOutputTextureView=LT.newInstance(),t._finalBlitEncoder.setColorTextureView(0,t._finalBlitOutputTextureView)},e.incrementOpaqueActorCount=()=&gt;t.opaqueActorCount++,e.incrementTranslucentActorCount=()=&gt;t.translucentActorCount++,e.addVolume=e=&gt;{t.volumes.push(e)}}(e,t)}var qx={newInstance:sn.newInstance(Xx,&quot;vtkForwardPass&quot;),extend:Xx};const{VtkDataTypes:Yx}=Is;const Jx={handle:null,device:null};function Zx(e,t,n={}){Object.assign(t,Jx,n),sn.obj(e,t),sn.setGet(e,t,[&quot;device&quot;]),function(e,t){function n(e){if(e.imageData){e.dataArray=e.imageData.getPointData().getScalars(),e.time=e.dataArray.getMTime(),e.nativeArray=e.dataArray.getData();const t=e.imageData.getDimensions();switch(e.width=t[0],e.height=t[1],e.depth=t[2],e.dataArray.getNumberOfComponents()){case 1:e.format=&quot;r&quot;;break;case 2:e.format=&quot;rg&quot;;break;default:e.format=&quot;rgba&quot;}switch(e.dataArray.getDataType()){case Yx.UNSIGNED_CHAR:e.format+=&quot;8unorm&quot;;break;case Yx.FLOAT:case Yx.UNSIGNED_INT:case Yx.INT:case Yx.DOUBLE:case Yx.UNSIGNED_SHORT:case Yx.SHORT:default:e.format+=&quot;16float&quot;}}e.image&amp;&amp;(e.width=e.image.width,e.height=e.image.height,e.depth=1,e.format=&quot;rgba8unorm&quot;,e.flip=!0,e.usage=GPUTextureUsage.STORAGE_BINDING|GPUTextureUsage.COPY_DST|GPUTextureUsage.TEXTURE_BINDING|GPUTextureUsage.RENDER_ATTACHMENT),e.jsImageData&amp;&amp;(e.width=e.jsImageData.width,e.height=e.jsImageData.height,e.depth=1,e.format=&quot;rgba8unorm&quot;,e.flip=!0,e.nativeArray=e.jsImageData.data,e.usage=GPUTextureUsage.STORAGE_BINDING|GPUTextureUsage.COPY_DST|GPUTextureUsage.TEXTURE_BINDING|GPUTextureUsage.RENDER_ATTACHMENT),e.imageBitmap&amp;&amp;(e.width=e.imageBitmap.width,e.height=e.imageBitmap.height,e.depth=1,e.format=&quot;rgba8unorm&quot;,e.flip=!0,e.usage=GPUTextureUsage.STORAGE_BINDING|GPUTextureUsage.COPY_DST|GPUTextureUsage.TEXTURE_BINDING|GPUTextureUsage.RENDER_ATTACHMENT),e.canvas&amp;&amp;(e.width=e.canvas.width,e.height=e.canvas.height,e.depth=1,e.format=&quot;rgba8unorm&quot;,e.flip=!0,e.usage=GPUTextureUsage.STORAGE_BINDING|GPUTextureUsage.COPY_DST|GPUTextureUsage.TEXTURE_BINDING|GPUTextureUsage.RENDER_ATTACHMENT)}function r(e){const n=GT.newInstance({label:e.label});return n.create(t.device,{width:e.width,height:e.height,depth:e.depth,format:e.format,usage:e.usage,mipLevel:e.mipLevel}),(e.nativeArray||e.image||e.canvas||e.imageBitmap)&amp;&amp;n.writeImageData(e),n}t.classHierarchy.push(&quot;vtkWebGPUTextureManager&quot;),e.getTexture=e=&gt;e.hash?t.device.getCachedObject(e.hash,r,e):r(e),e.getTextureForImageData=e=&gt;{const r={time:e.getMTime()};return r.imageData=e,n(r),r.hash=r.time+r.format+r.mipLevel,t.device.getTextureManager().getTexture(r)},e.getTextureForVTKTexture=(e,r=void 0)=&gt;{const o={time:e.getMTime(),label:r};return e.getInputData()?o.imageData=e.getInputData():e.getImage()?o.image=e.getImage():e.getJsImageData()?o.jsImageData=e.getJsImageData():e.getImageBitmap()?o.imageBitmap=e.getImageBitmap():e.getCanvas()&amp;&amp;(o.canvas=e.getCanvas()),n(o),o.mipLevel=e.getMipLevel(),o.hash=o.time+o.format+o.mipLevel,t.device.getTextureManager().getTexture(o)}}(e,t)}var Qx={newInstance:sn.newInstance(Zx),extend:Zx};class $x extends Map{constructor(){super(),this.registry=new FinalizationRegistry((e=&gt;{const t=super.get(e);t&amp;&amp;t.deref&amp;&amp;void 0===t.deref()&amp;&amp;super.delete(e)}))}getValue(e){const t=super.get(e);if(t){const n=t.deref();if(void 0!==n)return n;super.delete(e)}}setValue(e,t){let n;return t&amp;&amp;&quot;object&quot;==typeof t&amp;&amp;(n=new WeakRef(t),this.registry.register(t,e),super.set(e,n)),n}}const ey={handle:null,pipelines:null,shaderCache:null,bindGroupLayouts:null,bufferManager:null,textureManager:null};function ty(e,t,n={}){Object.assign(t,ey,n),Vt(e,t),Gt(e,t,[&quot;handle&quot;]),Bt(e,t,[&quot;bufferManager&quot;,&quot;shaderCache&quot;,&quot;textureManager&quot;]),t.objectCache=new $x,t.shaderCache=rT.newInstance(),t.shaderCache.setDevice(e),t.bindGroupLayouts=[],t.bufferManager=bx.newInstance(),t.bufferManager.setDevice(e),t.textureManager=Qx.newInstance(),t.textureManager.setDevice(e),t.pipelines={},function(e,t){t.classHierarchy.push(&quot;vtkWebGPUDevice&quot;),e.initialize=e=&gt;{t.handle=e},e.createCommandEncoder=()=&gt;t.handle.createCommandEncoder(),e.submitCommandEncoder=e=&gt;{t.handle.queue.submit([e.finish()])},e.getShaderModule=e=&gt;t.shaderCache.getShaderModule(e),e.getBindGroupLayout=e=&gt;{if(!e.entries)return null;for(let t=0;t&lt;e.entries.length;t++){const n=e.entries[t];n.binding=n.binding||0,n.visibility=n.visibility||GPUShaderStage.VERTEX|GPUShaderStage.FRAGMENT}const n=JSON.stringify(e);for(let e=0;e&lt;t.bindGroupLayouts.length;e++)if(t.bindGroupLayouts[e].sval===n)return t.bindGroupLayouts[e].layout;const r=t.handle.createBindGroupLayout(e);return t.bindGroupLayouts.push({sval:n,layout:r}),r},e.getBindGroupLayoutDescription=e=&gt;{for(let n=0;n&lt;t.bindGroupLayouts.length;n++)if(t.bindGroupLayouts[n].layout===e)return t.bindGroupLayouts[n].sval;return vtkErrorMacro(&quot;layout not found&quot;),console.trace(),null},e.getPipeline=e=&gt;e in t.pipelines?t.pipelines[e]:null,e.createPipeline=(n,r)=&gt;{r.initialize(e,n),t.pipelines[n]=r},e.onSubmittedWorkDone=()=&gt;t.handle.queue.onSubmittedWorkDone(),e.hasCachedObject=e=&gt;t.objectCache.getValue(e),e.getCachedObject=(e,n,...r)=&gt;{if(!e)return vtkErrorMacro(&quot;attempt to cache an object without a hash&quot;),null;const o=t.objectCache.getValue(e);if(o)return o;const a=n(...r);return t.objectCache.setValue(e,a),a}}(e,t)}var ny={newInstance:Xt(ty,&quot;vtkWebGPUDevice&quot;),extend:ty};const ry={selectionRenderEncoder:null,colorTexture:null,depthTexture:null};function oy(e,t,n={}){Object.assign(t,ry,n),vv.extend(e,t,n),sn.get(e,t,[&quot;colorTexture&quot;,&quot;depthTexture&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkWebGPUHardwareSelectionPass&quot;),e.traverse=(n,r)=&gt;{if(t.deleted)return;t._currentParent=null,e.setCurrentOperation(&quot;buildPass&quot;),n.traverse(e);const o=n.getDevice();if(t.selectionRenderEncoder)t.colorTexture.resize(n.getCanvas().width,n.getCanvas().height),t.depthTexture.resizeToMatch(t.colorTexture);else{e.createRenderEncoder(),t.colorTexture=GT.newInstance({label:&quot;hardwareSelectorColor&quot;}),t.colorTexture.create(o,{width:n.getCanvas().width,height:n.getCanvas().height,format:&quot;rgba32uint&quot;,usage:GPUTextureUsage.RENDER_ATTACHMENT|GPUTextureUsage.COPY_SRC});const r=t.colorTexture.createView(&quot;hardwareSelectColorTexture&quot;);t.selectionRenderEncoder.setColorTextureView(0,r),t.depthTexture=GT.newInstance({label:&quot;hardwareSelectorDepth&quot;}),t.depthTexture.create(o,{width:n.getCanvas().width,height:n.getCanvas().height,format:&quot;depth32float&quot;,usage:GPUTextureUsage.RENDER_ATTACHMENT|GPUTextureUsage.COPY_SRC});const a=t.depthTexture.createView(&quot;hardwareSelectDepthTexture&quot;);t.selectionRenderEncoder.setDepthTextureView(a)}t.selectionRenderEncoder.attachTextureViews(),r.setRenderEncoder(t.selectionRenderEncoder),e.setCurrentOperation(&quot;cameraPass&quot;),r.traverse(e),e.setCurrentOperation(&quot;opaquePass&quot;),r.traverse(e)},e.createRenderEncoder=()=&gt;{t.selectionRenderEncoder=OT.newInstance({label:&quot;HardwareSelectionPass&quot;}),t.selectionRenderEncoder.setPipelineHash(&quot;sel&quot;),t.selectionRenderEncoder.setReplaceShaderCodeFunction((e=&gt;{const t=e.getShaderDescription(&quot;fragment&quot;);t.addOutput(&quot;vec4&lt;u32&gt;&quot;,&quot;outColor&quot;);let n=t.getCode();n=rT.substitute(n,&quot;//VTK::RenderEncoder::Impl&quot;,[&quot;output.outColor = vec4&lt;u32&gt;(mapperUBO.PropID, compositeID, 0u, 0u);&quot;]).result,t.setCode(n)})),t.selectionRenderEncoder.getDescription().colorAttachments[0].clearValue=[0,0,0,0],t.selectionRenderEncoder.setPipelineSettings({primitive:{cullMode:&quot;none&quot;},depthStencil:{depthWriteEnabled:!0,depthCompare:&quot;greater&quot;,format:&quot;depth32float&quot;},fragment:{targets:[{format:&quot;rgba32uint&quot;,blend:void 0}]}})}}(e,t)}var ay={newInstance:sn.newInstance(oy,&quot;vtkWebGPUHardwareSelectionPass&quot;),extend:oy};const{SelectionContent:iy,SelectionField:sy}=zp,{FieldAssociations:ly}=Qs,{vtkErrorMacro:cy}=sn;function uy(e){return`${e.propID} ${e.compositeID}`}function dy(e,t,n,r){const o=4*((n.height-t-1)*n.colorBufferWidth+e)+r;return n.colorValues[o]}function py(e,t,n,r){const o=n&lt;0?0:n;if(0===o){if(r[0]=t[0],r[1]=t[1],t[0]&lt;0||t[0]&gt;=e.width||t[1]&lt;0||t[1]&gt;=e.height)return null;const n=dy(t[0],t[1],e,0);if(n&lt;=0)return null;const o={};o.propID=n;let a=dy(t[0],t[1],e,1);if((a&lt;0||a&gt;16777215)&amp;&amp;(a=0),o.compositeID=a,e.captureZValues){const n=(e.height-t[1]-1)*e.zbufferBufferWidth+t[0];o.zValue=e.depthValues[n],o.zValue=e.webGPURenderer.convertToOpenGLDepth(o.zValue),o.displayPosition=t}return o}const a=[t[0],t[1]],i=[0,0];let s=py(e,t,0,r);if(s)return s;for(let t=1;t&lt;o;++t){for(let n=a[1]&gt;t?a[1]-t:0;n&lt;=a[1]+t;++n){if(i[1]=n,a[0]&gt;=t&amp;&amp;(i[0]=a[0]-t,s=py(e,i,0,r),s))return s;if(i[0]=a[0]+t,s=py(e,i,0,r),s)return s}for(let n=a[0]&gt;=t?a[0]-(t-1):0;n&lt;=a[0]+(t-1);++n){if(i[0]=n,a[1]&gt;=t&amp;&amp;(i[1]=a[1]-t,s=py(e,i,0,r),s))return s;if(i[1]=a[1]+t,s=py(e,i,0,r),s)return s}}return r[0]=t[0],r[1]=t[1],null}function fy(e,t,n,r,o){const a=Math.floor(t),i=Math.floor(n),s=Math.floor(r),l=Math.floor(o),c=new Map,u=[0,0];for(let t=i;t&lt;=l;t++)for(let n=a;n&lt;=s;n++){const r=py(e,[n,t],0,u);if(r){const t=uy(r);if(c.has(t)){const n=c.get(t);n.pixelCount++,e.captureZValues&amp;&amp;r.zValue&lt;n.info.zValue&amp;&amp;(n.info=r),-1===n.attributeIDs.indexOf(r.attributeID)&amp;&amp;n.attributeIDs.push(r.attributeID)}else c.set(t,{info:r,pixelCount:1,attributeIDs:[r.attributeID]})}}return function(e,t,n){const r=[];let o=0;return t.forEach(((t,a)=&gt;{const i=zp.newInstance();switch(i.setContentType(iy.INDICES),e){case ly.FIELD_ASSOCIATION_CELLS:i.setFieldType(sy.CELL);break;case ly.FIELD_ASSOCIATION_POINTS:i.setFieldType(sy.POINT);break;default:cy(&quot;Unknown field association&quot;)}i.getProperties().propID=t.info.propID;const s=n.webGPURenderer.getPropFromID(t.info.propID);i.getProperties().prop=s.getRenderable(),i.getProperties().compositeID=t.info.compositeID,i.getProperties().pixelCount=t.pixelCount,n.captureZValues&amp;&amp;(i.getProperties().displayPosition=[t.info.displayPosition[0],t.info.displayPosition[1],t.info.zValue],i.getProperties().worldPosition=n.webGPURenderWindow.displayToWorld(t.info.displayPosition[0],t.info.displayPosition[1],t.info.zValue,n.renderer)),i.setSelectionList(t.attributeIDs),r[o]=i,o++})),r}(e.fieldAssociation,c,e)}const gy={};function my(e,t,n={}){Object.assign(t,gy,n),Fp.extend(e,t,n),t._selectionPass=ay.newInstance(),sn.setGet(e,t,[&quot;_WebGPURenderWindow&quot;]),sn.moveToProtected(e,t,[&quot;WebGPURenderWindow&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkWebGPUHardwareSelector&quot;),e.endSelection=()=&gt;{t.WebGPURenderer.setSelector(null)},e.getSourceDataAsync=async e=&gt;{if(!e||!t._WebGPURenderWindow)return cy(&quot;Renderer and view must be set before calling Select.&quot;),!1;t._WebGPURenderWindow.getRenderable().preRender(),t._WebGPURenderWindow.getInitialized()||(t._WebGPURenderWindow.initialize(),await new Promise((e=&gt;{t._WebGPURenderWindow.onInitialized(e)})));const n=t._WebGPURenderWindow.getViewNodeFor(e);if(!n)return!1;const r=n.getSuppressClear();n.setSuppressClear(!0),t._selectionPass.traverse(t._WebGPURenderWindow,n),n.setSuppressClear(r);const o=t._WebGPURenderWindow.getDevice(),a=t._selectionPass.getColorTexture(),i=t._selectionPass.getDepthTexture(),s={area:[0,0,a.getWidth()-1,a.getHeight()-1],captureZValues:t.captureZValues,fieldAssociation:t.fieldAssociation,renderer:e,webGPURenderer:n,webGPURenderWindow:t._WebGPURenderWindow,width:a.getWidth(),height:a.getHeight()};s.colorBufferWidth=16*Math.floor((s.width+15)/16),s.colorBufferSizeInBytes=s.colorBufferWidth*s.height*4*4;const l=ZT.newInstance({label:&quot;hardwareSelectColorBuffer&quot;});l.setDevice(o),l.create(s.colorBufferSizeInBytes,GPUBufferUsage.MAP_READ|GPUBufferUsage.COPY_DST);const c=t._WebGPURenderWindow.getCommandEncoder();let u;c.copyTextureToBuffer({texture:a.getHandle()},{buffer:l.getHandle(),bytesPerRow:16*s.colorBufferWidth,rowsPerImage:s.height},{width:s.width,height:s.height,depthOrArrayLayers:1}),t.captureZValues&amp;&amp;(s.zbufferBufferWidth=64*Math.floor((s.width+63)/64),u=ZT.newInstance({label:&quot;hardwareSelectDepthBuffer&quot;}),u.setDevice(o),s.zbufferSizeInBytes=s.height*s.zbufferBufferWidth*4,u.create(s.zbufferSizeInBytes,GPUBufferUsage.MAP_READ|GPUBufferUsage.COPY_DST),c.copyTextureToBuffer({texture:i.getHandle(),aspect:&quot;depth-only&quot;},{buffer:u.getHandle(),bytesPerRow:4*s.zbufferBufferWidth,rowsPerImage:s.height},{width:s.width,height:s.height,depthOrArrayLayers:1})),o.submitCommandEncoder(c);const d=l.mapAsync(GPUMapMode.READ);if(t.captureZValues){const e=u.mapAsync(GPUMapMode.READ);await Promise.all([d,e]),s.depthValues=new Float32Array(u.getMappedRange().slice()),u.unmap()}else await d;return s.colorValues=new Uint32Array(l.getMappedRange().slice()),l.unmap(),s.generateSelection=(e,t,n,r)=&gt;fy(s,e,t,n,r),s}}(e,t)}var hy={newInstance:sn.newInstance(my,&quot;vtkWebGPUHardwareSelector&quot;),extend:my};const vy=Object.create(null);const Ty={};function xy(e,t,n={}){Object.assign(t,Ty,n),t.overrides=vy,mn.extend(e,t,n),function(e,t){t.classHierarchy.push(&quot;vtkWebGPUViewNodeFactory&quot;)}(0,t)}var yy={newInstance:sn.newInstance(xy,&quot;vtkWebGPUViewNodeFactory&quot;),extend:xy};const{vtkErrorMacro:by}=sn,Ay={position:&quot;absolute&quot;,top:0,left:0,width:&quot;100%&quot;,height:&quot;100%&quot;};function Cy(e,t){t.classHierarchy.push(&quot;vtkWebGPURenderWindow&quot;),e.getViewNodeFactory=()=&gt;t.myFactory;const n=[0,0];e.onModified((function(){t.renderable&amp;&amp;(t.size[0]===n[0]&amp;&amp;t.size[1]===n[1]||(n[0]=t.size[0],n[1]=t.size[1],t.canvas.setAttribute(&quot;width&quot;,t.size[0]),t.canvas.setAttribute(&quot;height&quot;,t.size[1]),e.recreateSwapChain())),t.viewStream&amp;&amp;t.viewStream.setSize(t.size[0],t.size[1]),t.canvas.style.display=t.useOffScreen?&quot;none&quot;:&quot;block&quot;,t.el&amp;&amp;(t.el.style.cursor=t.cursorVisibility?t.cursor:&quot;none&quot;),t.containerSize=null})),e.recreateSwapChain=()=&gt;{t.context&amp;&amp;(t.context.unconfigure(),t.presentationFormat=navigator.gpu.getPreferredCanvasFormat(t.adapter),t.context.configure({device:t.device.getHandle(),format:t.presentationFormat,alphaMode:&quot;premultiplied&quot;,usage:GPUTextureUsage.RENDER_ATTACHMENT|GPUTextureUsage.COPY_DST,width:t.size[0],height:t.size[1]}),t._configured=!0)},e.getCurrentTexture=()=&gt;t.context.getCurrentTexture(),e.buildPass=n=&gt;{if(n){if(!t.renderable)return;e.prepareNodes(),e.addMissingNodes(t.renderable.getRenderersByReference()),e.removeUnusedNodes(),e.initialize()}else t.initialized&amp;&amp;(t._configured||e.recreateSwapChain(),t.commandEncoder=t.device.createCommandEncoder())},e.initialize=()=&gt;{if(!t.initializing){if(t.initializing=!0,!navigator.gpu)return void by(&quot;WebGPU is not enabled.&quot;);e.create3DContextAsync().then((()=&gt;{t.initialized=!0,t.deleted||e.invokeInitialized()}))}},e.setContainer=n=&gt;{t.el&amp;&amp;t.el!==n&amp;&amp;(t.canvas.parentNode!==t.el&amp;&amp;by(&quot;Error: canvas parent node does not match container&quot;),t.el.removeChild(t.canvas),t.el.contains(t.bgImage)&amp;&amp;t.el.removeChild(t.bgImage)),t.el!==n&amp;&amp;(t.el=n,t.el&amp;&amp;(t.el.appendChild(t.canvas),t.useBackgroundImage&amp;&amp;t.el.appendChild(t.bgImage)),e.modified())},e.getContainer=()=&gt;t.el,e.getContainerSize=()=&gt;{if(!t.containerSize&amp;&amp;t.el){const{width:e,height:n}=t.el.getBoundingClientRect();t.containerSize=[e,n]}return t.containerSize||t.size},e.getFramebufferSize=()=&gt;t.size,e.create3DContextAsync=async()=&gt;{t.adapter=await navigator.gpu.requestAdapter({powerPreference:&quot;high-performance&quot;}),t.deleted||(t.device=ny.newInstance(),t.device.initialize(await t.adapter.requestDevice({requiredLimits:{maxBufferSize:t.adapter.limits.maxBufferSize,maxStorageBufferBindingSize:t.adapter.limits.maxStorageBufferBindingSize,maxUniformBufferBindingSize:t.adapter.limits.maxUniformBufferBindingSize}})),t.deleted?t.device=null:t.context=t.canvas.getContext(&quot;webgpu&quot;))},e.releaseGraphicsResources=()=&gt;{const n=vv.newInstance();n.setCurrentOperation(&quot;Release&quot;),n.traverse(e,null),t.adapter=null,t.device=null,t.context=null,t.initialized=!1,t.initializing=!1},e.setBackgroundImage=e=&gt;{t.bgImage.src=e.src},e.setUseBackgroundImage=e=&gt;{t.useBackgroundImage=e,t.useBackgroundImage&amp;&amp;!t.el.contains(t.bgImage)?t.el.appendChild(t.bgImage):!t.useBackgroundImage&amp;&amp;t.el.contains(t.bgImage)&amp;&amp;t.el.removeChild(t.bgImage)},e.captureNextImage=(n=&quot;image/png&quot;,{resetCamera:r=!1,size:o=null,scale:a=1}={})=&gt;{if(t.deleted)return null;t.imageFormat=n;const i=t.notifyStartCaptureImage;return t.notifyStartCaptureImage=!0,t._screenshot={size:o||1!==a?o||t.size.map((e=&gt;e*a)):null},new Promise(((n,o)=&gt;{const a=e.onImageReady((o=&gt;{if(null===t._screenshot.size)t.notifyStartCaptureImage=i,a.unsubscribe(),t._screenshot.placeHolder&amp;&amp;(t.size=t._screenshot.originalSize,e.modified(),t._screenshot.cameras&amp;&amp;t._screenshot.cameras.forEach((({restoreParamsFn:e,arg:t})=&gt;e(t))),e.traverseAllPasses(),t.el.removeChild(t._screenshot.placeHolder),t._screenshot.placeHolder.remove(),t._screenshot=null),n(o);else{const n=document.createElement(&quot;img&quot;);if(n.style=Ay,n.src=o,t._screenshot.placeHolder=t.el.appendChild(n),t.canvas.style.display=&quot;none&quot;,t._screenshot.originalSize=t.size,t.size=t._screenshot.size,t._screenshot.size=null,e.modified(),r){const e=!0!==r;t._screenshot.cameras=t.renderable.getRenderers().map((t=&gt;{const n=t.getActiveCamera(),o=n.get(&quot;focalPoint&quot;,&quot;position&quot;,&quot;parallelScale&quot;);return{resetCameraArgs:e?{renderer:t}:void 0,resetCameraFn:e?r:t.resetCamera,restoreParamsFn:n.set,arg:JSON.parse(JSON.stringify(o))}})),t._screenshot.cameras.forEach((({resetCameraFn:e,resetCameraArgs:t})=&gt;e(t)))}e.traverseAllPasses()}}))}))},e.traverseAllPasses=()=&gt;{if(!t.deleted)if(t.initialized){if(t.renderPasses)for(let n=0;n&lt;t.renderPasses.length;++n)t.renderPasses[n].traverse(e,null);t.commandEncoder&amp;&amp;(t.device.submitCommandEncoder(t.commandEncoder),t.commandEncoder=null,t.notifyStartCaptureImage&amp;&amp;t.device.onSubmittedWorkDone().then((()=&gt;{!async function(n=t.imageFormat){const r=document.createElement(&quot;canvas&quot;),o=r.getContext(&quot;2d&quot;);r.width=t.canvas.width,r.height=t.canvas.height;const a=await e.getPixelsAsync(),i=new ImageData(a.colorValues,a.width,a.height);o.putImageData(i,0,0);const s=t.canvas.getBoundingClientRect();t.renderable.getRenderers().forEach((e=&gt;{e.getViewProps().forEach((e=&gt;{if(e.getContainer){const t=e.getContainer().getElementsByTagName(&quot;canvas&quot;);for(let e=0;e&lt;t.length;e++){const n=t[e],r=n.getBoundingClientRect(),a=r.x-s.x,i=r.y-s.y;o.drawImage(n,a,i)}}}))}));const l=r.toDataURL(n);r.remove(),e.invokeImageReady(l)}()})))}else{e.initialize();const t=e.onInitialized((()=&gt;{t.unsubscribe(),e.traverseAllPasses()}))}},e.setViewStream=n=&gt;{if(t.viewStream===n)return!1;if(t.subscription&amp;&amp;(t.subscription.unsubscribe(),t.subscription=null),t.viewStream=n,t.viewStream){t.renderable.getRenderers()[0].getBackgroundByReference()[3]=0,e.setUseBackgroundImage(!0),t.subscription=t.viewStream.onImageReady((t=&gt;e.setBackgroundImage(t.image))),t.viewStream.setSize(t.size[0],t.size[1]),t.viewStream.invalidateCache(),t.viewStream.render(),e.modified()}return!0},e.getUniquePropID=()=&gt;t.nextPropID++,e.getPropFromID=e=&gt;{for(let n=0;n&lt;t.children.length;n++){const r=t.children[n].getPropFromID(e);if(null!==r)return r}return null},e.getPixelsAsync=async()=&gt;{const e=t.device,n=t.renderPasses[0].getOpaquePass().getColorTexture(),r={width:n.getWidth(),height:n.getHeight()};r.colorBufferWidth=32*Math.floor((r.width+31)/32),r.colorBufferSizeInBytes=r.colorBufferWidth*r.height*8;const o=ZT.newInstance();o.setDevice(e),o.create(r.colorBufferSizeInBytes,GPUBufferUsage.MAP_READ|GPUBufferUsage.COPY_DST);const a=t.device.createCommandEncoder();a.copyTextureToBuffer({texture:n.getHandle()},{buffer:o.getHandle(),bytesPerRow:8*r.colorBufferWidth,rowsPerImage:r.height},{width:r.width,height:r.height,depthOrArrayLayers:1}),e.submitCommandEncoder(a);const i=o.mapAsync(GPUMapMode.READ);await i,r.colorValues=new Uint16Array(o.getMappedRange().slice()),o.unmap();const s=new Uint8ClampedArray(r.height*r.width*4);for(let e=0;e&lt;r.height;e++)for(let t=0;t&lt;r.width;t++){const n=4*(e*r.width+t),o=4*(e*r.colorBufferWidth+t);s[n]=255*Md.fromHalf(r.colorValues[o]),s[n+1]=255*Md.fromHalf(r.colorValues[o+1]),s[n+2]=255*Md.fromHalf(r.colorValues[o+2]),s[n+3]=255*Md.fromHalf(r.colorValues[o+3])}return r.colorValues=s,r},e.createSelector=()=&gt;{const t=hy.newInstance();return t.setWebGPURenderWindow(e),t};const r=e.setSize;e.setSize=(t,n)=&gt;{const o=r(t,n);return o&amp;&amp;e.invokeWindowResizeEvent({width:t,height:n}),o},e.delete=sn.chain(e.delete,e.setViewStream)}const Sy={initialized:!1,context:null,adapter:null,device:null,canvas:null,cursorVisibility:!0,cursor:&quot;pointer&quot;,containerSize:null,renderPasses:[],notifyStartCaptureImage:!1,imageFormat:&quot;image/png&quot;,useOffScreen:!1,useBackgroundImage:!1,nextPropID:1,xrSupported:!1,presentationFormat:null};const Py=sn.newInstance((function(e,t,n={}){Object.assign(t,Sy,n),t.canvas=document.createElement(&quot;canvas&quot;),t.canvas.style.width=&quot;100%&quot;,t.bgImage=new Image,t.bgImage.style.position=&quot;absolute&quot;,t.bgImage.style.left=&quot;0&quot;,t.bgImage.style.top=&quot;0&quot;,t.bgImage.style.width=&quot;100%&quot;,t.bgImage.style.height=&quot;100%&quot;,t.bgImage.style.zIndex=&quot;-1&quot;,Gv.extend(e,t,n),t.myFactory=yy.newInstance(),t.renderPasses[0]=qx.newInstance(),t.selector||(t.selector=hy.newInstance(),t.selector.setWebGPURenderWindow(e)),sn.event(e,t,&quot;imageReady&quot;),sn.event(e,t,&quot;initialized&quot;),sn.get(e,t,[&quot;commandEncoder&quot;,&quot;device&quot;,&quot;presentationFormat&quot;,&quot;useBackgroundImage&quot;,&quot;xrSupported&quot;]),sn.setGet(e,t,[&quot;initialized&quot;,&quot;context&quot;,&quot;canvas&quot;,&quot;device&quot;,&quot;renderPasses&quot;,&quot;notifyStartCaptureImage&quot;,&quot;cursor&quot;,&quot;useOffScreen&quot;]),sn.setGetArray(e,t,[&quot;size&quot;],2),sn.event(e,t,&quot;windowResizeEvent&quot;),Cy(e,t)}),&quot;vtkWebGPURenderWindow&quot;);var wy;Oh(&quot;WebGPU&quot;,Py),wy=Py,vy[&quot;vtkRenderWindow&quot;]=wy;const Iy=gv.extractURLParameters(),Oy={margin:&quot;0&quot;,padding:&quot;0&quot;,position:&quot;absolute&quot;,top:&quot;0&quot;,left:&quot;0&quot;,width:&quot;100%&quot;,height:&quot;100%&quot;,overflow:&quot;hidden&quot;},Ry={position:&quot;absolute&quot;,left:&quot;25px&quot;,top:&quot;25px&quot;,backgroundColor:&quot;white&quot;,borderRadius:&quot;5px&quot;,listStyle:&quot;none&quot;,padding:&quot;5px 10px&quot;,margin:&quot;0&quot;,display:&quot;block&quot;,border:&quot;solid 1px black&quot;,maxWidth:&quot;calc(100% - 70px)&quot;,maxHeight:&quot;calc(100% - 60px)&quot;,overflow:&quot;auto&quot;};function My(e,t){Object.keys(t).forEach((n=&gt;{e.style[n]=t[n]}))}const Dy={background:[.32,.34,.43],containerStyle:null,controlPanelStyle:null,listenWindowResize:!0,resizeCallback:null,controllerVisibility:!0};function Ey(e,t,n={}){Object.assign(t,Dy,n),sn.obj(e,t),sn.get(e,t,[&quot;renderWindow&quot;,&quot;renderer&quot;,&quot;apiSpecificRenderWindow&quot;,&quot;interactor&quot;,&quot;rootContainer&quot;,&quot;container&quot;,&quot;controlContainer&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkFullScreenRenderWindow&quot;);const n=document.querySelector(&quot;body&quot;);function r(t){&quot;c&quot;===String.fromCharCode(t.charCode)&amp;&amp;e.toggleControllerVisibility()}t.rootContainer||(t.rootContainer=n),t.container||(t.container=document.createElement(&quot;div&quot;),My(t.container,t.containerStyle||Oy),t.rootContainer.appendChild(t.container)),t.rootContainer===n&amp;&amp;(document.documentElement.style.height=&quot;100%&quot;,n.style.height=&quot;100%&quot;,n.style.padding=&quot;0&quot;,n.style.margin=&quot;0&quot;),t.renderWindow=Eh.newInstance(),t.renderer=wh.newInstance(),t.renderWindow.addRenderer(t.renderer),t.apiSpecificRenderWindow=t.renderWindow.newAPISpecificView(Iy.viewAPI??t.defaultViewAPI),t.apiSpecificRenderWindow.setContainer(t.container),t.renderWindow.addView(t.apiSpecificRenderWindow),t.interactor=Yh.newInstance(),t.interactor.setInteractorStyle(dv.newInstance()),t.interactor.setView(t.apiSpecificRenderWindow),t.interactor.initialize(),t.interactor.bindEvents(t.container),e.setBackground=t.renderer.setBackground,e.removeController=()=&gt;{const e=t.controlContainer;e&amp;&amp;e.parentNode.removeChild(e)},e.setControllerVisibility=e=&gt;{t.controllerVisibility=e,t.controlContainer&amp;&amp;(t.controlContainer.style.display=e?&quot;block&quot;:&quot;none&quot;)},e.toggleControllerVisibility=()=&gt;{e.setControllerVisibility(!t.controllerVisibility)},e.addController=n=&gt;{t.controlContainer=document.createElement(&quot;div&quot;),My(t.controlContainer,t.controlPanelStyle||Ry),t.rootContainer.appendChild(t.controlContainer),t.controlContainer.innerHTML=n,e.setControllerVisibility(t.controllerVisibility),t.rootContainer.addEventListener(&quot;keypress&quot;,r)},e.setBackground(...t.background),e.addRepresentation=e=&gt;{e.getActors().forEach((e=&gt;{t.renderer.addActor(e)}))},e.removeRepresentation=e=&gt;{e.getActors().forEach((e=&gt;t.renderer.removeActor(e)))},e.delete=sn.chain(e.setContainer,t.apiSpecificRenderWindow.delete,(()=&gt;{t.rootContainer?.removeEventListener(&quot;keypress&quot;,r),window.removeEventListener(&quot;resize&quot;,e.resize)}),e.delete),e.resize=()=&gt;{const e=t.container.getBoundingClientRect(),n=window.devicePixelRatio||1;t.apiSpecificRenderWindow.setSize(Math.floor(e.width*n),Math.floor(e.height*n)),t.resizeCallback&amp;&amp;t.resizeCallback(e),t.renderWindow.render()},e.setResizeCallback=n=&gt;{t.resizeCallback=n,e.resize()},t.listenWindowResize&amp;&amp;window.addEventListener(&quot;resize&quot;,e.resize),e.resize()}(e,t)}var Vy={newInstance:sn.newInstance(Ey),extend:Ey};var Ly={ColorSpace:{RGB:0,HSV:1,LAB:2,DIVERGING:3},Scale:{LINEAR:0,LOG10:1}};const{ColorSpace:By,Scale:Fy}=Ly,{ScalarMappingTarget:Ny}=yl,{vtkDebugMacro:ky,vtkErrorMacro:Gy,vtkWarningMacro:Uy}=sn;function _y(e,t){const n=e[0],r=e[1],o=e[2],a=Math.sqrt(n*n+r*r+o*o),i=a&gt;.001?Math.acos(n/a):0,s=i&gt;.001?Math.atan2(o,r):0;t[0]=a,t[1]=i,t[2]=s}function Ky(e,t){if(e[0]&gt;=t-.1)return e[2];const n=e[1]*Math.sqrt(t*t-e[0]*e[0])/(e[0]*Math.sin(e[1]));return e[2]&gt;-.3*Math.PI?e[2]+n:e[2]-n}function zy(e,t,n,r){const o=[],a=[];Pa(t,o),Pa(n,a);const i=[],s=[];_y(o,i),_y(a,s);let l=e;if(i[1]&gt;.05&amp;&amp;s[1]&gt;.05&amp;&amp;function(e,t){let n=e-t;for(n&lt;0&amp;&amp;(n=-n);n&gt;=2*Math.PI;)n-=2*Math.PI;return n&gt;Math.PI&amp;&amp;(n=2*Math.PI-n),n}(i[2],s[2])&gt;.33*Math.PI){let t=Math.max(i[0],s[0]);t=Math.max(88,t),e&lt;.5?(s[0]=t,s[1]=0,s[2]=0,l*=2):(i[0]=t,i[1]=0,i[2]=0,l=2*l-1)}i[1]&lt;.05&amp;&amp;s[1]&gt;.05?i[2]=Ky(s,i[0]):s[1]&lt;.05&amp;&amp;i[1]&gt;.05&amp;&amp;(s[2]=Ky(i,s[0]));const c=[];c[0]=(1-l)*i[0]+l*s[0],c[1]=(1-l)*i[1]+l*s[1],c[2]=(1-l)*i[2]+l*s[2];const u=[];!function(e,t){const n=e[0],r=e[1],o=e[2];t[0]=n*Math.cos(r),t[1]=n*Math.sin(r)*Math.cos(o),t[2]=n*Math.sin(r)*Math.sin(o)}(c,u),wa(u,r)}const Wy={clamping:!0,colorSpace:By.RGB,hSVWrap:!0,scale:Fy.LINEAR,nanColor:null,belowRangeColor:null,aboveRangeColor:null,useAboveRangeColor:!1,useBelowRangeColor:!1,allowDuplicateScalars:!1,table:null,tableSize:0,buildTime:null,nodes:null,discretize:!1,numberOfValues:256};function Hy(e,t,n={}){Object.assign(t,Wy,n),yl.extend(e,t,n),t.table=[],t.nodes=[],t.nanColor=[.5,0,0,1],t.belowRangeColor=[0,0,0,1],t.aboveRangeColor=[1,1,1,1],t.buildTime={},sn.obj(t.buildTime),sn.get(e,t,[&quot;buildTime&quot;,&quot;mappingRange&quot;]),sn.setGet(e,t,[&quot;useAboveRangeColor&quot;,&quot;useBelowRangeColor&quot;,&quot;discretize&quot;,&quot;numberOfValues&quot;,{type:&quot;enum&quot;,name:&quot;colorSpace&quot;,enum:By},{type:&quot;enum&quot;,name:&quot;scale&quot;,enum:Fy}]),sn.setArray(e,t,[&quot;nanColor&quot;,&quot;belowRangeColor&quot;,&quot;aboveRangeColor&quot;],4),sn.getArray(e,t,[&quot;nanColor&quot;,&quot;belowRangeColor&quot;,&quot;aboveRangeColor&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkColorTransferFunction&quot;),e.getSize=()=&gt;t.nodes.length,e.addRGBPoint=(t,n,r,o)=&gt;e.addRGBPointLong(t,n,r,o,.5,0),e.addRGBPointLong=(n,r,o,a,i=.5,s=0)=&gt;{if(i&lt;0||i&gt;1)return Gy(&quot;Midpoint outside range [0.0, 1.0]&quot;),-1;if(s&lt;0||s&gt;1)return Gy(&quot;Sharpness outside range [0.0, 1.0]&quot;),-1;t.allowDuplicateScalars||e.removePoint(n);const l={x:n,r:r,g:o,b:a,midpoint:i,sharpness:s};t.nodes.push(l),e.sortAndUpdateRange();let c=0;for(;c&lt;t.nodes.length&amp;&amp;t.nodes[c].x!==n;c++);return c&lt;t.nodes.length?c:-1},e.addHSVPoint=(t,n,r,o)=&gt;e.addHSVPointLong(t,n,r,o,.5,0),e.addHSVPointLong=(t,n,r,o,a=.5,i=0)=&gt;{const s=[];return ya([n,r,o],s),e.addRGBPoint(t,s[0],s[1],s[2],a,i)},e.setNodes=n=&gt;{if(t.nodes!==n){const r=JSON.stringify(t.nodes);t.nodes=n;const o=JSON.stringify(t.nodes);if(e.sortAndUpdateRange()||r!==o)return e.modified(),!0}return!1},e.sortAndUpdateRange=()=&gt;{const n=JSON.stringify(t.nodes);t.nodes.sort(((e,t)=&gt;e.x-t.x));const r=JSON.stringify(t.nodes),o=e.updateRange();return o||n===r?o:(e.modified(),!0)},e.updateRange=()=&gt;{const n=[2];n[0]=t.mappingRange[0],n[1]=t.mappingRange[1];const r=t.nodes.length;return r?(t.mappingRange[0]=t.nodes[0].x,t.mappingRange[1]=t.nodes[r-1].x):(t.mappingRange[0]=0,t.mappingRange[1]=0),(n[0]!==t.mappingRange[0]||n[1]!==t.mappingRange[1])&amp;&amp;(e.modified(),!0)},e.removePoint=n=&gt;{let r=0;for(;r&lt;t.nodes.length&amp;&amp;t.nodes[r].x!==n;r++);const o=r;if(r&gt;=t.nodes.length)return-1;let a=!1;return t.nodes.splice(r,1),0!==r&amp;&amp;r!==t.nodes.length||(a=e.updateRange()),a||e.modified(),o},e.movePoint=(n,r)=&gt;{if(n!==r){e.removePoint(r);for(let o=0;o&lt;t.nodes.length;o++)if(t.nodes[o].x===n){t.nodes[o].x=r,e.sortAndUpdateRange();break}}},e.removeAllPoints=()=&gt;{t.nodes=[],e.sortAndUpdateRange()},e.addRGBSegment=(n,r,o,a,i,s,l,c)=&gt;{e.sortAndUpdateRange();for(let e=0;e&lt;t.nodes.length;)t.nodes[e].x&gt;=n&amp;&amp;t.nodes[e].x&lt;=i?t.nodes.splice(e,1):e++;e.addRGBPointLong(n,r,o,a,.5,0),e.addRGBPointLong(i,s,l,c,.5,0),e.modified()},e.addHSVSegment=(t,n,r,o,a,i,s,l)=&gt;{const c=[i,s,l],u=[],d=[];ya([n,r,o],u),ya(c,d),e.addRGBSegment(t,u[0],u[1],u[2],a,d[0],d[1],d[2])},e.mapValue=t=&gt;{const n=[];return e.getColor(t,n),[Math.floor(255*n[0]+.5),Math.floor(255*n[1]+.5),Math.floor(255*n[2]+.5),255]},e.getColor=(n,r)=&gt;{if(t.indexedLookup){const t=e.getSize(),o=e.getAnnotatedValueIndexInternal(n);if(o&lt;0||0===t){const t=e.getNanColorByReference();r[0]=t[0],r[1]=t[1],r[2]=t[2]}else{const n=[];e.getNodeValue(o%t,n),r[0]=n[1],r[1]=n[2],r[2]=n[3]}}else e.getTable(n,n,1,r)},e.getRedValue=t=&gt;{const n=[];return e.getColor(t,n),n[0]},e.getGreenValue=t=&gt;{const n=[];return e.getColor(t,n),n[1]},e.getBlueValue=t=&gt;{const n=[];return e.getColor(t,n),n[2]},e.logScaleEnabled=()=&gt;t.scale===Fy.LOG10,e.usingLogScale=()=&gt;e.logScaleEnabled()&amp;&amp;t.mappingRange[0]&gt;0,e.getTable=(n,r,o,a)=&gt;{const i=e.usingLogScale(),s=i?Math.log10(Number(n)):Number(n),l=i?Math.log10(Number(r)):Number(r);if(ka(s)||ka(l)){for(let e=0;e&lt;o;e++)a[3*e+0]=t.nanColor[0],a[3*e+1]=t.nanColor[1],a[3*e+2]=t.nanColor[2];return}let c=0;const u=t.nodes.length;let d=0,p=0,f=0;0!==u&amp;&amp;(d=t.nodes[u-1].r,p=t.nodes[u-1].g,f=t.nodes[u-1].b);let g=0,m=0,h=0;const v=[0,0,0],T=[0,0,0];let x=0,y=0;const b=[];let A=t.mappingRange;i&amp;&amp;(A=[Math.log10(t.mappingRange[0]),Math.log10(t.mappingRange[1])]);for(let n=0;n&lt;o;n++){const r=3*n;if(g=o&gt;1?s+n/(o-1)*(l-s):.5*(s+l),t.discretize){const e=A;if(g&gt;=e[0]&amp;&amp;g&lt;=e[1]){const n=t.numberOfValues,r=e[1]-e[0];if(n&lt;=1)g=e[0]+r/2;else{const t=(g-e[0])/r,o=Ro(n*t);g=e[0]+o/(n-1)*r}}}for(;c&lt;u&amp;&amp;g&gt;t.nodes[c].x;)c++,c&lt;u&amp;&amp;(m=t.nodes[c-1].x,h=t.nodes[c].x,v[0]=t.nodes[c-1].r,T[0]=t.nodes[c].r,v[1]=t.nodes[c-1].g,T[1]=t.nodes[c].g,v[2]=t.nodes[c-1].b,T[2]=t.nodes[c].b,x=t.nodes[c-1].midpoint,y=t.nodes[c-1].sharpness,x&lt;1e-5&amp;&amp;(x=1e-5),x&gt;.99999&amp;&amp;(x=.99999));if(g&gt;A[1])a[r]=0,a[r+1]=0,a[r+2]=0,t.clamping&amp;&amp;(e.getUseAboveRangeColor()?(a[r]=t.aboveRangeColor[0],a[r+1]=t.aboveRangeColor[1],a[r+2]=t.aboveRangeColor[2]):(a[r]=d,a[r+1]=p,a[r+2]=f));else if(g&lt;A[0]||Ba(g)&amp;&amp;g&lt;0)a[r]=0,a[r+1]=0,a[r+2]=0,t.clamping&amp;&amp;(e.getUseBelowRangeColor()?(a[r]=t.belowRangeColor[0],a[r+1]=t.belowRangeColor[1],a[r+2]=t.belowRangeColor[2]):u&gt;0&amp;&amp;(a[r]=t.nodes[0].r,a[r+1]=t.nodes[0].g,a[r+2]=t.nodes[0].b));else if(0===c&amp;&amp;(Math.abs(g-s)&lt;1e-6||t.discretize))u&gt;0?(a[r]=t.nodes[0].r,a[r+1]=t.nodes[0].g,a[r+2]=t.nodes[0].b):(a[r]=0,a[r+1]=0,a[r+2]=0);else{let e=0;if(e=(g-m)/(h-m),e=e&lt;x?.5*e/x:.5+.5*(e-x)/(1-x),y&gt;.99){if(e&lt;.5){a[r]=v[0],a[r+1]=v[1],a[r+2]=v[2];continue}a[r]=T[0],a[r+1]=T[1],a[r+2]=T[2];continue}if(y&lt;.01){if(t.colorSpace===By.RGB)a[r]=(1-e)*v[0]+e*T[0],a[r+1]=(1-e)*v[1]+e*T[1],a[r+2]=(1-e)*v[2]+e*T[2];else if(t.colorSpace===By.HSV){const n=[],o=[];xa(v,n),xa(T,o),t.hSVWrap&amp;&amp;(n[0]-o[0]&gt;.5||o[0]-n[0]&gt;.5)&amp;&amp;(n[0]&gt;o[0]?n[0]-=1:o[0]-=1);const i=[];i[0]=(1-e)*n[0]+e*o[0],i[0]&lt;0&amp;&amp;(i[0]+=1),i[1]=(1-e)*n[1]+e*o[1],i[2]=(1-e)*n[2]+e*o[2],ya(i,b),a[r]=b[0],a[r+1]=b[1],a[r+2]=b[2]}else if(t.colorSpace===By.LAB){const t=[],n=[];Pa(v,t),Pa(T,n);const o=[];o[0]=(1-e)*t[0]+e*n[0],o[1]=(1-e)*t[1]+e*n[1],o[2]=(1-e)*t[2]+e*n[2],wa(o,b),a[r]=b[0],a[r+1]=b[1],a[r+2]=b[2]}else t.colorSpace===By.DIVERGING?(zy(e,v,T,b),a[r]=b[0],a[r+1]=b[1],a[r+2]=b[2]):Gy(&quot;ColorSpace set to invalid value.&quot;,t.colorSpace);continue}e&lt;.5?e=.5*(2*e)**(1+10*y):e&gt;.5&amp;&amp;(e=1-.5*(2*(1-e))**(1+10*y));const n=e*e,o=n*e,i=2*o-3*n+1,s=-2*o+3*n,l=o-2*n+e,c=o-n;let u,d;if(t.colorSpace===By.RGB)for(let e=0;e&lt;3;e++)u=T[e]-v[e],d=(1-y)*u,a[r+e]=i*v[e]+s*T[e]+l*d+c*d;else if(t.colorSpace===By.HSV){const e=[],n=[];xa(v,e),xa(T,n),t.hSVWrap&amp;&amp;(e[0]-n[0]&gt;.5||n[0]-e[0]&gt;.5)&amp;&amp;(e[0]&gt;n[0]?e[0]-=1:n[0]-=1);const o=[];for(let t=0;t&lt;3;t++)u=n[t]-e[t],d=(1-y)*u,o[t]=i*e[t]+s*n[t]+l*d+c*d,0===t&amp;&amp;o[t]&lt;0&amp;&amp;(o[t]+=1);ya(o,b),a[r]=b[0],a[r+1]=b[1],a[r+2]=b[2]}else if(t.colorSpace===By.LAB){const e=[],t=[];Pa(v,e),Pa(T,t);const n=[];for(let r=0;r&lt;3;r++)u=t[r]-e[r],d=(1-y)*u,n[r]=i*e[r]+s*t[r]+l*d+c*d;wa(n,b),a[r]=b[0],a[r+1]=b[1],a[r+2]=b[2]}else t.colorSpace===By.DIVERGING?(zy(e,v,T,b),a[r]=b[0],a[r+1]=b[1],a[r+2]=b[2]):Gy(&quot;ColorSpace set to invalid value.&quot;);for(let e=0;e&lt;3;e++)a[r+e]=a[r+e]&lt;0?0:a[r+e],a[r+e]=a[r+e]&gt;1?1:a[r+e]}}},e.getUint8Table=(n,r,o,a=!1)=&gt;{if(e.getMTime()&lt;=t.buildTime&amp;&amp;t.tableSize===o&amp;&amp;t.tableWithAlpha!==a)return t.table;if(0===t.nodes.length)return Gy(&quot;Attempting to lookup a value with no points in the function&quot;),t.table;const i=a?4:3;t.tableSize===o&amp;&amp;t.tableWithAlpha===a||(t.table=new Uint8Array(o*i),t.tableSize=o,t.tableWithAlpha=a);const s=[];e.getTable(n,r,o,s);for(let e=0;e&lt;o;e++)t.table[e*i+0]=Math.floor(255*s[3*e+0]+.5),t.table[e*i+1]=Math.floor(255*s[3*e+1]+.5),t.table[e*i+2]=Math.floor(255*s[3*e+2]+.5),a&amp;&amp;(t.table[e*i+3]=255);return t.buildTime.modified(),t.table},e.buildFunctionFromArray=n=&gt;{e.removeAllPoints();const r=n.getNumberOfComponents();for(let e=0;e&lt;n.getNumberOfTuples();e++)switch(r){case 3:t.nodes.push({x:e,r:n.getComponent(e,0),g:n.getComponent(e,1),b:n.getComponent(e,2),midpoint:.5,sharpness:0});break;case 4:t.nodes.push({x:n.getComponent(e,0),r:n.getComponent(e,1),g:n.getComponent(e,2),b:n.getComponent(e,3),midpoint:.5,sharpness:0});break;case 5:t.nodes.push({x:e,r:n.getComponent(e,0),g:n.getComponent(e,1),b:n.getComponent(e,2),midpoint:n.getComponent(e,4),sharpness:n.getComponent(e,5)});break;case 6:t.nodes.push({x:n.getComponent(e,0),r:n.getComponent(e,1),g:n.getComponent(e,2),b:n.getComponent(e,3),midpoint:n.getComponent(e,4),sharpness:n.getComponent(e,5)})}e.sortAndUpdateRange()},e.buildFunctionFromTable=(n,r,o,a)=&gt;{let i=0;e.removeAllPoints(),o&gt;1&amp;&amp;(i=(r-n)/(o-1));for(let e=0;e&lt;o;e++){const r={x:n+i*e,r:a[3*e],g:a[3*e+1],b:a[3*e+2],sharpness:0,midpoint:.5};t.nodes.push(r)}e.sortAndUpdateRange()},e.getNodeValue=(e,n)=&gt;e&lt;0||e&gt;=t.nodes.length?(Gy(&quot;Index out of range!&quot;),-1):(n[0]=t.nodes[e].x,n[1]=t.nodes[e].r,n[2]=t.nodes[e].g,n[3]=t.nodes[e].b,n[4]=t.nodes[e].midpoint,n[5]=t.nodes[e].sharpness,1),e.setNodeValue=(n,r)=&gt;{if(n&lt;0||n&gt;=t.nodes.length)return Gy(&quot;Index out of range!&quot;),-1;const o=t.nodes[n].x;return t.nodes[n].x=r[0],t.nodes[n].r=r[1],t.nodes[n].g=r[2],t.nodes[n].b=r[3],t.nodes[n].midpoint=r[4],t.nodes[n].sharpness=r[5],o!==r[0]?e.sortAndUpdateRange():e.modified(),1},e.getNumberOfAvailableColors=()=&gt;{if(t.indexedLookup&amp;&amp;e.getSize())return e.getSize();if(t.tableSize)return t.tableSize;const n=t.nodes?.length??0;return Math.max(4094,n)},e.getIndexedColor=(t,n)=&gt;{const r=e.getSize();if(r&gt;0&amp;&amp;t&gt;=0){const o=[];e.getNodeValue(t%r,o);for(let e=0;e&lt;3;++e)n[e]=o[e+1];return void(n[3]=1)}const o=e.getNanColorByReference();n[0]=o[0],n[1]=o[1],n[2]=o[2],n[3]=1},e.fillFromDataPointer=(t,n)=&gt;{if(!(t&lt;=0)&amp;&amp;n){e.removeAllPoints();for(let r=0;r&lt;t;r++)e.addRGBPoint(n[4*r],n[4*r+1],n[4*r+2],n[4*r+3])}},e.setMappingRange=(n,r)=&gt;{const o=[n,r],a=[n,r],i=e.getRange(),s=e.logScaleEnabled();if(i[1]===o[1]&amp;&amp;i[0]===o[0])return;if(o[1]===o[0])return void Gy(&quot;attempt to set zero width color range&quot;);s&amp;&amp;(o[0]&lt;=0?console.warn(&quot;attempt to set log scale color range with non-positive minimum&quot;):(a[0]=Math.log10(o[0]),a[1]=Math.log10(o[1])));const l=(a[1]-a[0])/(i[1]-i[0]),c=a[0]-i[0]*l;for(let e=0;e&lt;t.nodes.length;++e)t.nodes[e].x=t.nodes[e].x*l+c;t.mappingRange[0]=o[0],t.mappingRange[1]=o[1],e.modified()},e.adjustRange=n=&gt;{const r=e.getRange(),o=[];r[0]&lt;n[0]?(e.getColor(n[0],o),e.addRGBPoint(n[0],o[0],o[1],o[2])):(e.getColor(r[0],o),e.addRGBPoint(n[0],o[0],o[1],o[2])),r[1]&gt;n[1]?(e.getColor(n[1],o),e.addRGBPoint(n[1],o[0],o[1],o[2])):(e.getColor(r[1],o),e.addRGBPoint(n[1],o[0],o[1],o[2])),e.sortAndUpdateRange();for(let e=0;e&lt;t.nodes.length;)t.nodes[e].x&gt;=n[0]&amp;&amp;t.nodes[e].x&lt;=n[1]?t.nodes.splice(e,1):++e;return 1},e.estimateMinNumberOfSamples=(t,n)=&gt;{const r=e.findMinimumXDistance();return Math.ceil((n-t)/r)},e.findMinimumXDistance=()=&gt;{if(t.nodes.length&lt;2)return-1;let e=Number.MAX_VALUE;for(let n=0;n&lt;t.nodes.length-1;n++){const r=t.nodes[n+1].x-t.nodes[n].x;r&lt;e&amp;&amp;(e=r)}return e},e.mapScalarsThroughTable=(n,r,o,a)=&gt;{0!==e.getSize()?t.indexedLookup?e.mapDataIndexed(n,r,o,a):e.mapData(n,r,o,a):ky(&quot;Transfer Function Has No Points!&quot;)},e.mapData=(t,n,r,o)=&gt;{if(0===e.getSize())return void Uy(&quot;Transfer Function Has No Points!&quot;);const a=Math.floor(255*e.getAlpha()+.5),i=t.getNumberOfTuples(),s=t.getNumberOfComponents(),l=n.getData(),c=t.getData(),u=[];if(r===Ny.RGBA)for(let t=0;t&lt;i;t++){const n=c[t*s+o];e.getColor(n,u),l[4*t]=Math.floor(255*u[0]+.5),l[4*t+1]=Math.floor(255*u[1]+.5),l[4*t+2]=Math.floor(255*u[2]+.5),l[4*t+3]=a}if(r===Ny.RGB)for(let t=0;t&lt;i;t++){const n=c[t*s+o];e.getColor(n,u),l[3*t]=Math.floor(255*u[0]+.5),l[3*t+1]=Math.floor(255*u[1]+.5),l[3*t+2]=Math.floor(255*u[2]+.5)}if(r===Ny.LUMINANCE)for(let t=0;t&lt;i;t++){const n=c[t*s+o];e.getColor(n,u),l[t]=Math.floor(76.5*u[0]+150.45*u[1]+28.05*u[2]+.5)}if(r===Ny.LUMINANCE_ALPHA)for(let t=0;t&lt;i;t++){const n=c[t*s+o];e.getColor(n,u),l[2*t]=Math.floor(76.5*u[0]+150.45*u[1]+28.05*u[2]+.5),l[2*t+1]=a}},e.applyColorMap=n=&gt;{const r=JSON.stringify(t.colorSpace);n.ColorSpace&amp;&amp;(t.colorSpace=By[n.ColorSpace.toUpperCase()],void 0===t.colorSpace&amp;&amp;(Gy(`ColorSpace ${n.ColorSpace} not supported, using RGB instead`),t.colorSpace=By.RGB));let o=r!==JSON.stringify(t.colorSpace);const a=o||JSON.stringify(t.nanColor);if(n.NanColor)for(t.nanColor=[].concat(n.NanColor);t.nanColor.length&lt;4;)t.nanColor.push(1);o=o||a!==JSON.stringify(t.nanColor);const i=o||JSON.stringify(t.nodes);if(n.RGBPoints){const e=n.RGBPoints.length;t.nodes=[];const r=.5,o=0;for(let a=0;a&lt;e;a+=4)t.nodes.push({x:n.RGBPoints[a],r:n.RGBPoints[a+1],g:n.RGBPoints[a+2],b:n.RGBPoints[a+3],midpoint:r,sharpness:o})}const s=e.sortAndUpdateRange(),l=!s&amp;&amp;(o||i!==JSON.stringify(t.nodes));return l&amp;&amp;e.modified(),s||l}}(e,t)}var jy={newInstance:sn.newInstance(Hy,&quot;vtkColorTransferFunction&quot;),extend:Hy,...Ly};var Xy={OrientationModes:{DIRECTION:0,ROTATION:1,MATRIX:2},ScaleModes:{SCALE_BY_CONSTANT:0,SCALE_BY_MAGNITUDE:1,SCALE_BY_COMPONENTS:2}};const{OrientationModes:qy,ScaleModes:Yy}=Xy,{vtkErrorMacro:Jy}=sn;const Zy={orient:!0,orientationMode:qy.DIRECTION,orientationArray:null,scaling:!0,scaleFactor:1,scaleMode:Yy.SCALE_BY_MAGNITUDE,scaleArray:null,matrixArray:null,normalArray:null,colorArray:null};function Qy(e,t,n={}){Object.assign(t,Zy,n),Ql.extend(e,t,n),sn.algo(e,t,2,0),t.buildTime={},sn.obj(t.buildTime,{mtime:0}),sn.setGet(e,t,[&quot;orient&quot;,&quot;orientationMode&quot;,&quot;orientationArray&quot;,&quot;scaleArray&quot;,&quot;scaleFactor&quot;,&quot;scaleMode&quot;,&quot;scaling&quot;]),sn.get(e,t,[&quot;colorArray&quot;,&quot;matrixArray&quot;,&quot;normalArray&quot;,&quot;buildTime&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkGlyph3DMapper&quot;),e.getOrientationModeAsString=()=&gt;sn.enumToString(qy,t.orientationMode),e.setOrientationModeToDirection=()=&gt;e.setOrientationMode(qy.DIRECTION),e.setOrientationModeToRotation=()=&gt;e.setOrientationMode(qy.ROTATION),e.setOrientationModeToMatrix=()=&gt;e.setOrientationMode(qy.MATRIX),e.getOrientationArrayData=()=&gt;{const n=e.getInputData(0);return n&amp;&amp;n.getPointData()?t.orientationArray?n.getPointData().getArray(t.orientationArray):n.getPointData().getVectors():null},e.getScaleModeAsString=()=&gt;sn.enumToString(Yy,t.scaleMode),e.setScaleModeToScaleByMagnitude=()=&gt;e.setScaleMode(Yy.SCALE_BY_MAGNITUDE),e.setScaleModeToScaleByComponents=()=&gt;e.setScaleMode(Yy.SCALE_BY_COMPONENTS),e.setScaleModeToScaleByConstant=()=&gt;e.setScaleMode(Yy.SCALE_BY_CONSTANT),e.getScaleArrayData=()=&gt;{const n=e.getInputData(0);return n&amp;&amp;n.getPointData()?t.scaleArray?n.getPointData().getArray(t.scaleArray):n.getPointData().getScalars():null},e.computeBounds=()=&gt;e.buildArrays(),e.buildArrays=()=&gt;{const n=e.getInputData(0),r=e.getInputData(1);if(n&amp;&amp;r){if(t.buildTime.getMTime()&lt;r.getMTime()||t.buildTime.getMTime()&lt;n.getMTime()||t.buildTime.getMTime()&lt;e.getMTime()){const o=n.getPoints().getData();let a=e.getScaleArrayData(),i=null,l=0;a&amp;&amp;(i=a.getData(),l=a.getNumberOfComponents()),t.scaling&amp;&amp;a&amp;&amp;t.scaleMode===Yy.SCALE_BY_COMPONENTS&amp;&amp;3!==a.getNumberOfComponents()&amp;&amp;(Jy(&quot;Cannot scale by components since scale array does not have 3 components.&quot;),a=null);const c=r.getBounds(),p=[];Hi.getCorners(c,p),Hi.reset(t.bounds);const f=new Float64Array(3),g=e.getOrientationArrayData(),m=x(new Float64Array(16)),h=[],v=[],T=o.length/3;t.matrixArray=new Float32Array(16*T);const y=t.matrixArray.buffer;t.normalArray=new Float32Array(9*T);const b=t.normalArray.buffer,R=[],M=[];for(let e=0;e&lt;T;++e){const n=new Float32Array(y,64*e,16);if(h[0]=o[3*e],h[1]=o[3*e+1],h[2]=o[3*e+2],C(n,m,h),g)switch(g.getTuple(e,M),t.orientationMode){case qy.MATRIX:A(n,n,[...M.slice(0,3),0,...M.slice(3,6),0,...M.slice(6,9),0,0,0,0,1]);break;case qy.ROTATION:O(n,n,M[2]),w(n,n,M[0]),I(n,n,M[1]);break;case qy.DIRECTION:if(0===M[1]&amp;&amp;0===M[2])M[0]&lt;0&amp;&amp;I(n,n,3.1415926);else{const e=Ho(M),t=[];t[0]=(M[0]+e)/2,t[1]=M[1]/2,t[2]=M[2]/2,P(n,n,3.1415926,t)}}if(t.scaling){if(v[0]=t.scaleFactor,v[1]=t.scaleFactor,v[2]=t.scaleFactor,a)switch(t.scaleMode){case Yy.SCALE_BY_MAGNITUDE:for(let t=0;t&lt;l;++t)R[t]=i[e*l+t];v[0]*=Ho(R,l),v[1]=v[0],v[2]=v[0];break;case Yy.SCALE_BY_COMPONENTS:for(let t=0;t&lt;l;++t)R[t]=i[e*l+t];v[0]*=R[0],v[1]*=R[1],v[2]*=R[2];case Yy.SCALE_BY_CONSTANT:}0===v[0]&amp;&amp;(v[0]=1e-10),0===v[1]&amp;&amp;(v[1]=1e-10),0===v[2]&amp;&amp;(v[2]=1e-10),S(n,n,v)}for(let e=0;e&lt;8;++e)oe(f,p[e],n),Hi.addPoint(t.bounds,f);const r=new Float32Array(b,36*e,9);s(r,n),d(r,r),u(r,r)}const D=e.getAbstractScalars(n,t.scalarMode,t.arrayAccessMode,t.arrayId,t.colorByArrayName).scalars;t.useLookupTableScalarRange||e.getLookupTable().setRange(t.scalarRange[0],t.scalarRange[1]),t.colorArray=null;const E=e.getLookupTable();E&amp;&amp;D&amp;&amp;(E.build(),t.colorArray=E.mapScalars(D,t.colorMode,0)),t.buildTime.modified()}}else Hi.reset(t.bounds)},e.getPrimitiveCount=()=&gt;{const t=e.getInputData(1),n=e.getInputData().getPoints().getNumberOfValues()/3;return{points:n*t.getPoints().getNumberOfValues()/3,verts:n*(t.getVerts().getNumberOfValues()-t.getVerts().getNumberOfCells()),lines:n*(t.getLines().getNumberOfValues()-2*t.getLines().getNumberOfCells()),triangles:n*(t.getPolys().getNumberOfValues()-3*t.getLines().getNumberOfCells())}},e.setSourceConnection=t=&gt;e.setInputConnection(t,1)}(e,t)}var $y={newInstance:sn.newInstance(Qy,&quot;vtkGlyph3DMapper&quot;),extend:Qy,...Xy};const{vtkErrorMacro:eb}=sn;const tb={range:[0,0],clamping:!0,allowDuplicateScalars:!1};function nb(e,t,n={}){Object.assign(t,tb,n),sn.obj(e,t),t.nodes=[],sn.setGet(e,t,[&quot;allowDuplicateScalars&quot;,&quot;clamping&quot;]),sn.setArray(e,t,[&quot;range&quot;],2),sn.getArray(e,t,[&quot;range&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkPiecewiseFunction&quot;),e.getSize=()=&gt;t.nodes.length,e.getType=()=&gt;{let e,n=0,r=0;t.nodes.length&gt;0&amp;&amp;(n=t.nodes[0].y);for(let o=1;o&lt;t.nodes.length;o++){if(e=t.nodes[o].y,e!==n)if(e&gt;n)switch(r){case 0:case 1:r=1;break;default:r=3}else switch(r){case 0:case 2:r=2;break;default:r=3}if(n=e,3===r)break}switch(r){case 0:return&quot;Constant&quot;;case 1:return&quot;NonDecreasing&quot;;case 2:return&quot;NonIncreasing&quot;;default:return&quot;Varied&quot;}},e.getDataPointer=()=&gt;{const e=t.nodes.length;if(t.function=null,e&gt;0){t.function=[];for(let n=0;n&lt;e;n++)t.function[2*n]=t.nodes[n].x,t.function[2*n+1]=t.nodes[n].y}return t.function},e.getFirstNonZeroValue=()=&gt;{if(0===t.nodes.length)return 0;let e=1,n=0,r=0;for(;r&lt;t.nodes.length;r++)if(0!==t.nodes[r].y){e=0;break}return n=e?Number.MAX_VALUE:r&gt;0?t.nodes[r-1].x:t.clamping?-Number.MAX_VALUE:t.nodes[0].x,n},e.getNodeValue=(e,n)=&gt;{const r=t.nodes.length;return e&lt;0||e&gt;=r?(eb(&quot;Index out of range!&quot;),-1):(n[0]=t.nodes[e].x,n[1]=t.nodes[e].y,n[2]=t.nodes[e].midpoint,n[3]=t.nodes[e].sharpness,1)},e.setNodeValue=(n,r)=&gt;{const o=t.nodes.length;if(n&lt;0||n&gt;=o)return eb(&quot;Index out of range!&quot;),-1;const a=t.nodes[n].x;return t.nodes[n].x=r[0],t.nodes[n].y=r[1],t.nodes[n].midpoint=r[2],t.nodes[n].sharpness=r[3],a!==r[0]?e.sortAndUpdateRange():e.modified(),1},e.addPoint=(t,n)=&gt;e.addPointLong(t,n,.5,0),e.addPointLong=(n,r,o,a)=&gt;{if(o&lt;0||o&gt;1)return eb(&quot;Midpoint outside range [0.0, 1.0]&quot;),-1;if(a&lt;0||a&gt;1)return eb(&quot;Sharpness outside range [0.0, 1.0]&quot;),-1;t.allowDuplicateScalars||e.removePoint(n);const i={x:n,y:r,midpoint:o,sharpness:a};let s;for(t.nodes.push(i),e.sortAndUpdateRange(),s=0;s&lt;t.nodes.length&amp;&amp;t.nodes[s].x!==n;s++);return s&lt;t.nodes.length?s:-1},e.setNodes=n=&gt;{t.nodes!==n&amp;&amp;(t.nodes=n,e.sortAndUpdateRange())},e.sortAndUpdateRange=()=&gt;{t.nodes.sort(((e,t)=&gt;e.x-t.x)),e.updateRange()||e.modified()},e.updateRange=()=&gt;{const n=t.range.slice(),r=t.nodes.length;return r?(t.range[0]=t.nodes[0].x,t.range[1]=t.nodes[r-1].x):(t.range[0]=0,t.range[1]=0),(n[0]!==t.range[0]||n[1]!==t.range[1])&amp;&amp;(e.modified(),!0)},e.removePoint=n=&gt;{let r;for(r=0;r&lt;t.nodes.length&amp;&amp;t.nodes[r].x!==n;r++);if(r&gt;=t.nodes.length)return-1;const o=r;let a=!1;return t.nodes.splice(r,1),0!==r&amp;&amp;r!==t.nodes.length||(a=e.updateRange()),a||e.modified(),o},e.removeAllPoints=()=&gt;{t.nodes=[],e.sortAndUpdateRange()},e.addSegment=(n,r,o,a)=&gt;{e.sortAndUpdateRange();for(let e=0;e&lt;t.nodes.length;)t.nodes[e].x&gt;=n&amp;&amp;t.nodes[e].x&lt;=o?t.nodes.splice(e,1):e++;e.addPoint(n,r,.5,0),e.addPoint(o,a,.5,0)},e.getValue=t=&gt;{const n=[];return e.getTable(t,t,1,n),n[0]},e.adjustRange=n=&gt;{if(n.length&lt;2)return 0;const r=e.getRange();r[0]&lt;n[0]?e.addPoint(n[0],e.getValue(n[0])):e.addPoint(n[0],e.getValue(r[0])),r[1]&gt;n[1]?e.addPoint(n[1],e.getValue(n[1])):e.addPoint(n[1],e.getValue(r[1])),e.sortAndUpdateRange();for(let e=0;e&lt;t.nodes.length;)t.nodes[e].x&gt;=n[0]&amp;&amp;t.nodes[e].x&lt;=n[1]?t.nodes.splice(e,1):++e;return e.sortAndUpdateRange(),1},e.estimateMinNumberOfSamples=(t,n)=&gt;{const r=e.findMinimumXDistance();return Math.ceil((n-t)/r)},e.findMinimumXDistance=()=&gt;{const e=t.nodes.length;if(e&lt;2)return-1;let n=t.nodes[1].x-t.nodes[0].x;for(let r=0;r&lt;e-1;r++){const e=t.nodes[r+1].x-t.nodes[r].x;e&lt;n&amp;&amp;(n=e)}return n},e.getTable=(e,n,r,o,a=1)=&gt;{let i,s=0;const l=t.nodes.length;let c=0;0!==l&amp;&amp;(c=t.nodes[l-1].y);let u=0,d=0,p=0,f=0,g=0,m=0,h=0;for(i=0;i&lt;r;i++){const v=a*i;for(u=r&gt;1?e+i/(r-1)*(n-e):.5*(e+n);s&lt;l&amp;&amp;u&gt;t.nodes[s].x;)s++,s&lt;l&amp;&amp;(d=t.nodes[s-1].x,p=t.nodes[s].x,f=t.nodes[s-1].y,g=t.nodes[s].y,m=t.nodes[s-1].midpoint,h=t.nodes[s-1].sharpness,m&lt;1e-5&amp;&amp;(m=1e-5),m&gt;.99999&amp;&amp;(m=.99999));if(s&gt;=l)o[v]=t.clamping?c:0;else if(0===s)o[v]=t.clamping?t.nodes[0].y:0;else{let e=(u-d)/(p-d);if(e=e&lt;m?.5*e/m:.5+.5*(e-m)/(1-m),h&gt;.99){if(e&lt;.5){o[v]=f;continue}o[v]=g;continue}if(h&lt;.01){o[v]=(1-e)*f+e*g;continue}e&lt;.5?e=.5*(2*e)**(1+10*h):e&gt;.5&amp;&amp;(e=1-.5*(2*(1-e))**(1+10*h));const t=e*e,n=t*e,r=2*n-3*t+1,a=-2*n+3*t,i=n-2*t+e,s=n-t,l=(1-h)*(g-f);o[v]=r*f+a*g+i*l+s*l;const c=f&lt;g?f:g,T=f&gt;g?f:g;o[v]=o[v]&lt;c?c:o[v],o[v]=o[v]&gt;T?T:o[v]}}}}(e,t)}var rb={newInstance:sn.newInstance(nb,&quot;vtkPiecewiseFunction&quot;),extend:nb};const{InterpolationType:ob,OpacityMode:ab,FilterMode:ib,ColorMixPreset:sb}=mg,{vtkErrorMacro:lb}=sn;function cb(e,t,n={}){if(Object.assign(t,(e=&gt;({colorMixPreset:sb.DEFAULT,independentComponents:!0,interpolationType:ob.FAST_LINEAR,shade:!1,ambient:.1,diffuse:.7,specular:.2,specularPower:10,useLabelOutline:!1,labelOutlineThickness:[1],labelOutlineOpacity:1,ipScalarRange:[-1e6,1e6],filterMode:ib.OFF,preferSizeOverAccuracy:!1,computeNormalFromOpacity:!1,volumetricScatteringBlending:0,globalIlluminationReach:0,anisotropy:0,localAmbientOcclusion:!1,LAOKernelSize:15,LAOKernelRadius:7,updatedExtents:[],...e}))(n)),sn.obj(e,t),!t.componentData){t.componentData=[];for(let e=0;e&lt;4;++e)t.componentData.push({colorChannels:1,grayTransferFunction:null,rGBTransferFunction:null,scalarOpacity:null,scalarOpacityUnitDistance:1,opacityMode:ab.FRACTIONAL,gradientOpacityMinimumValue:0,gradientOpacityMinimumOpacity:0,gradientOpacityMaximumValue:1,gradientOpacityMaximumOpacity:1,useGradientOpacity:!1,componentWeight:1,forceNearestInterpolation:!1})}sn.setGet(e,t,[&quot;colorMixPreset&quot;,&quot;independentComponents&quot;,&quot;interpolationType&quot;,&quot;shade&quot;,&quot;ambient&quot;,&quot;diffuse&quot;,&quot;specular&quot;,&quot;specularPower&quot;,&quot;useLabelOutline&quot;,&quot;labelOutlineOpacity&quot;,&quot;filterMode&quot;,&quot;preferSizeOverAccuracy&quot;,&quot;computeNormalFromOpacity&quot;,&quot;volumetricScatteringBlending&quot;,&quot;globalIlluminationReach&quot;,&quot;anisotropy&quot;,&quot;localAmbientOcclusion&quot;,&quot;LAOKernelSize&quot;,&quot;LAOKernelRadius&quot;,&quot;updatedExtents&quot;]),sn.setGetArray(e,t,[&quot;ipScalarRange&quot;],2),sn.setGetArray(e,t,[&quot;labelOutlineThickness&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkVolumeProperty&quot;);const n={...e};e.getMTime=()=&gt;{let e,n=t.mtime;for(let r=0;r&lt;4;r++)1===t.componentData[r].colorChannels?t.componentData[r].grayTransferFunction&amp;&amp;(e=t.componentData[r].grayTransferFunction.getMTime(),n=n&gt;e?n:e):3===t.componentData[r].colorChannels&amp;&amp;t.componentData[r].rGBTransferFunction&amp;&amp;(e=t.componentData[r].rGBTransferFunction.getMTime(),n=n&gt;e?n:e),t.componentData[r].scalarOpacity&amp;&amp;(e=t.componentData[r].scalarOpacity.getMTime(),n=n&gt;e?n:e),t.componentData[r].gradientOpacity&amp;&amp;(t.componentData[r].disableGradientOpacity||(e=t.componentData[r].gradientOpacity.getMTime(),n=n&gt;e?n:e));return n},e.getColorChannels=e=&gt;e&lt;0||e&gt;3?(lb(&quot;Bad index - must be between 0 and 3&quot;),0):t.componentData[e].colorChannels,e.setGrayTransferFunction=(n=0,r=null)=&gt;{let o=!1;return t.componentData[n].grayTransferFunction!==r&amp;&amp;(t.componentData[n].grayTransferFunction=r,o=!0),1!==t.componentData[n].colorChannels&amp;&amp;(t.componentData[n].colorChannels=1,o=!0),o&amp;&amp;e.modified(),o},e.getGrayTransferFunction=(n=0)=&gt;(null===t.componentData[n].grayTransferFunction&amp;&amp;(t.componentData[n].grayTransferFunction=rb.newInstance(),t.componentData[n].grayTransferFunction.addPoint(0,0),t.componentData[n].grayTransferFunction.addPoint(1024,1),1!==t.componentData[n].colorChannels&amp;&amp;(t.componentData[n].colorChannels=1),e.modified()),t.componentData[n].grayTransferFunction),e.setRGBTransferFunction=(n=0,r=null)=&gt;{let o=!1;return t.componentData[n].rGBTransferFunction!==r&amp;&amp;(t.componentData[n].rGBTransferFunction=r,o=!0),3!==t.componentData[n].colorChannels&amp;&amp;(t.componentData[n].colorChannels=3,o=!0),o&amp;&amp;e.modified(),o},e.getRGBTransferFunction=(n=0)=&gt;(null===t.componentData[n].rGBTransferFunction&amp;&amp;(t.componentData[n].rGBTransferFunction=jy.newInstance(),t.componentData[n].rGBTransferFunction.addRGBPoint(0,0,0,0),t.componentData[n].rGBTransferFunction.addRGBPoint(1024,1,1,1),3!==t.componentData[n].colorChannels&amp;&amp;(t.componentData[n].colorChannels=3),e.modified()),t.componentData[n].rGBTransferFunction),e.setScalarOpacity=(n=0,r=null)=&gt;t.componentData[n].scalarOpacity!==r&amp;&amp;(t.componentData[n].scalarOpacity=r,e.modified(),!0),e.getScalarOpacity=(n=0)=&gt;(null===t.componentData[n].scalarOpacity&amp;&amp;(t.componentData[n].scalarOpacity=rb.newInstance(),t.componentData[n].scalarOpacity.addPoint(0,1),t.componentData[n].scalarOpacity.addPoint(1024,1),e.modified()),t.componentData[n].scalarOpacity),e.setComponentWeight=(n=0,r=1)=&gt;{if(n&lt;0||n&gt;=4)return lb(&quot;Invalid index&quot;),!1;const o=Math.min(1,Math.max(0,r));return t.componentData[n].componentWeight!==o&amp;&amp;(t.componentData[n].componentWeight=o,e.modified(),!0)},e.getComponentWeight=(e=0)=&gt;e&lt;0||e&gt;=4?(lb(&quot;Invalid index&quot;),0):t.componentData[e].componentWeight,e.setInterpolationTypeToNearest=()=&gt;e.setInterpolationType(ob.NEAREST),e.setInterpolationTypeToLinear=()=&gt;e.setInterpolationType(ob.LINEAR),e.setInterpolationTypeToFastLinear=()=&gt;e.setInterpolationType(ob.FAST_LINEAR),e.getInterpolationTypeAsString=()=&gt;sn.enumToString(ob,t.interpolationType),[&quot;useGradientOpacity&quot;,&quot;scalarOpacityUnitDistance&quot;,&quot;gradientOpacityMinimumValue&quot;,&quot;gradientOpacityMinimumOpacity&quot;,&quot;gradientOpacityMaximumValue&quot;,&quot;gradientOpacityMaximumOpacity&quot;,&quot;opacityMode&quot;,&quot;forceNearestInterpolation&quot;].forEach((n=&gt;{const r=sn.capitalize(n);e[`set${r}`]=(r,o)=&gt;t.componentData[r][`${n}`]!==o&amp;&amp;(t.componentData[r][`${n}`]=o,e.modified(),!0)})),[&quot;useGradientOpacity&quot;,&quot;scalarOpacityUnitDistance&quot;,&quot;gradientOpacityMinimumValue&quot;,&quot;gradientOpacityMinimumOpacity&quot;,&quot;gradientOpacityMaximumValue&quot;,&quot;gradientOpacityMaximumOpacity&quot;,&quot;opacityMode&quot;,&quot;forceNearestInterpolation&quot;].forEach((n=&gt;{const r=sn.capitalize(n);e[`get${r}`]=e=&gt;t.componentData[e][`${n}`]})),e.setAverageIPScalarRange=(t,n)=&gt;{console.warn(&quot;setAverageIPScalarRange is deprecated use setIpScalarRange&quot;),e.setIpScalarRange(t,n)},e.getFilterModeAsString=()=&gt;sn.enumToString(ib,t.filterMode),e.setFilterModeToOff=()=&gt;{e.setFilterMode(ib.OFF)},e.setFilterModeToNormalized=()=&gt;{e.setFilterMode(ib.NORMALIZED)},e.setFilterModeToRaw=()=&gt;{e.setFilterMode(ib.RAW)},e.setGlobalIlluminationReach=e=&gt;n.setGlobalIlluminationReach(Ra(e,0,1)),e.setVolumetricScatteringBlending=e=&gt;n.setVolumetricScatteringBlending(Ra(e,0,1)),e.setAnisotropy=e=&gt;n.setAnisotropy(Ra(e,-.99,.99)),e.setLAOKernelSize=e=&gt;n.setLAOKernelSize(Ro(Ra(e,1,32))),e.setLAOKernelRadius=e=&gt;n.setLAOKernelRadius(e&gt;=1?e:1)}(e,t)}var ub={newInstance:sn.newInstance(cb,&quot;vtkVolumeProperty&quot;),extend:cb,...mg};const db={mapper:null};function pb(e,t,n={}){Object.assign(t,db,n),ts.extend(e,t,n),t.boundsMTime={},sn.obj(t.boundsMTime),sn.setGet(e,t,[&quot;mapper&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkVolume&quot;),e.getVolumes=()=&gt;[e],e.makeProperty=ub.newInstance,e.getRedrawMTime=()=&gt;{let e=t.mtime;if(null!==t.mapper){let n=t.mapper.getMTime();e=n&gt;e?n:e,null!==t.mapper.getInput()&amp;&amp;(t.mapper.getInputAlgorithm().update(),n=t.mapper.getInput().getMTime(),e=n&gt;e?n:e)}return e}}(e,t)}var fb={newInstance:sn.newInstance(pb,&quot;vtkVolume&quot;),extend:pb};const{BlendMode:gb}=vg;const mb=[&quot;getAnisotropy&quot;,&quot;getComputeNormalFromOpacity&quot;,&quot;getFilterMode&quot;,&quot;getFilterModeAsString&quot;,&quot;getGlobalIlluminationReach&quot;,&quot;getIpScalarRange&quot;,&quot;getIpScalarRangeByReference&quot;,&quot;getLAOKernelRadius&quot;,&quot;getLAOKernelSize&quot;,&quot;getLocalAmbientOcclusion&quot;,&quot;getPreferSizeOverAccuracy&quot;,&quot;getVolumetricScatteringBlending&quot;,&quot;setAnisotropy&quot;,&quot;setAverageIPScalarRange&quot;,&quot;setComputeNormalFromOpacity&quot;,&quot;setFilterMode&quot;,&quot;setFilterModeToNormalized&quot;,&quot;setFilterModeToOff&quot;,&quot;setFilterModeToRaw&quot;,&quot;setGlobalIlluminationReach&quot;,&quot;setIpScalarRange&quot;,&quot;setIpScalarRangeFrom&quot;,&quot;setLAOKernelRadius&quot;,&quot;setLAOKernelSize&quot;,&quot;setLocalAmbientOcclusion&quot;,&quot;setPreferSizeOverAccuracy&quot;,&quot;setVolumetricScatteringBlending&quot;],hb={createRadonTransferFunction:function(e,t,n,r,o){let a=null;return o?(a=o,a.removeAllPoints()):a=rb.newInstance(),a.addPointLong(-1024,0,1,1),a.addPoint(e,t),a.addPoint(n,r),a}};function vb(e,t,n={}){Object.assign(t,(e=&gt;({bounds:[...Hi.INIT_BOUNDS],sampleDistance:1,imageSampleDistance:1,maximumSamplesPerRay:1e3,autoAdjustSampleDistances:!0,initialInteractionScale:1,interactionSampleDistanceFactor:1,blendMode:gb.COMPOSITE_BLEND,volumeShadowSamplingDistFactor:5,colorTextureWidth:1024,opacityTextureWidth:1024,labelOutlineTextureWidth:1024,...e}))(n)),Ls.extend(e,t,n),sn.setGet(e,t,[&quot;sampleDistance&quot;,&quot;imageSampleDistance&quot;,&quot;maximumSamplesPerRay&quot;,&quot;autoAdjustSampleDistances&quot;,&quot;initialInteractionScale&quot;,&quot;interactionSampleDistanceFactor&quot;,&quot;blendMode&quot;,&quot;volumeShadowSamplingDistFactor&quot;,&quot;colorTextureWidth&quot;,&quot;opacityTextureWidth&quot;,&quot;labelOutlineTextureWidth&quot;]),sn.event(e,t,&quot;lightingActivated&quot;),function(e,t){t.classHierarchy.push(&quot;vtkVolumeMapper&quot;);const n={...e};e.computeBounds=()=&gt;{const n=e.getInputData();n?(t.static||e.update(),Hi.setBounds(t.bounds,n.getBounds())):Hi.reset(t.bounds)},e.setBlendModeToComposite=()=&gt;{e.setBlendMode(gb.COMPOSITE_BLEND)},e.setBlendModeToMaximumIntensity=()=&gt;{e.setBlendMode(gb.MAXIMUM_INTENSITY_BLEND)},e.setBlendModeToMinimumIntensity=()=&gt;{e.setBlendMode(gb.MINIMUM_INTENSITY_BLEND)},e.setBlendModeToAverageIntensity=()=&gt;{e.setBlendMode(gb.AVERAGE_INTENSITY_BLEND)},e.setBlendModeToAdditiveIntensity=()=&gt;{e.setBlendMode(gb.ADDITIVE_INTENSITY_BLEND)},e.setBlendModeToRadonTransform=()=&gt;{e.setBlendMode(gb.RADON_TRANSFORM_BLEND)},e.getBlendModeAsString=()=&gt;sn.enumToString(gb,t.blendMode),e.setVolumeShadowSamplingDistFactor=e=&gt;n.setVolumeShadowSamplingDistFactor(e&gt;=1?e:1),mb.forEach((t=&gt;{e[t]=()=&gt;{throw new Error(`The method &quot;volumeMapper.${t}()&quot; doesn&#x27;t exist anymore. It is a rendering property that has been moved to the volume property. Replace your code with:\\nvolumeActor.getProperty().${t}()\\n`)}}))}(e,t)}var Tb={newInstance:sn.newInstance(vb,&quot;vtkVolumeMapper&quot;),extend:vb,...hb};const{InterpolationType:xb}=jf,{vtkErrorMacro:yb}=sn;function bb(e,t,n={}){if(Object.assign(t,(e=&gt;({independentComponents:!1,interpolationType:xb.LINEAR,colorWindow:255,colorLevel:127.5,ambient:1,diffuse:0,opacity:1,useLookupTableScalarRange:!1,useLabelOutline:!1,labelOutlineThickness:[1],labelOutlineOpacity:1,updatedExtents:[],...e}))(n)),sn.obj(e,t),!t.componentData){t.componentData=[];for(let e=0;e&lt;4;e++)t.componentData.push({rGBTransferFunction:null,piecewiseFunction:null,componentWeight:1})}sn.setGet(e,t,[&quot;independentComponents&quot;,&quot;interpolationType&quot;,&quot;colorWindow&quot;,&quot;colorLevel&quot;,&quot;ambient&quot;,&quot;diffuse&quot;,&quot;opacity&quot;,&quot;useLookupTableScalarRange&quot;,&quot;useLabelOutline&quot;,&quot;labelOutlineOpacity&quot;,&quot;updatedExtents&quot;]),sn.setGetArray(e,t,[&quot;labelOutlineThickness&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkImageProperty&quot;),e.getMTime=()=&gt;{let e,n=t.mtime;for(let r=0;r&lt;4;r++)t.componentData[r].rGBTransferFunction&amp;&amp;(e=t.componentData[r].rGBTransferFunction.getMTime(),n=n&gt;e?n:e),t.componentData[r].piecewiseFunction&amp;&amp;(e=t.componentData[r].piecewiseFunction.getMTime(),n=n&gt;e?n:e);return n},e.setRGBTransferFunction=(n=0,r=null)=&gt;{let o=n,a=r;return Number.isInteger(n)||(a=n,o=0),t.componentData[o].rGBTransferFunction!==a&amp;&amp;(t.componentData[o].rGBTransferFunction=a,e.modified(),!0)},e.getRGBTransferFunction=(e=0)=&gt;t.componentData[e].rGBTransferFunction,e.setPiecewiseFunction=(n=0,r=null)=&gt;{let o=n,a=r;return Number.isInteger(n)||(a=n,o=0),t.componentData[o].piecewiseFunction!==a&amp;&amp;(t.componentData[o].piecewiseFunction=a,e.modified(),!0)},e.getPiecewiseFunction=(e=0)=&gt;t.componentData[e].piecewiseFunction,e.setScalarOpacity=(t=0,n=null)=&gt;{let r=t,o=n;return Number.isInteger(t)||(o=t,r=0),e.setPiecewiseFunction(r,o)},e.getScalarOpacity=(t=0)=&gt;e.getPiecewiseFunction(t),e.setComponentWeight=(n=0,r=1)=&gt;{if(n&lt;0||n&gt;=4)return yb(&quot;Invalid index&quot;),!1;const o=Math.min(1,Math.max(0,r));return t.componentData[n].componentWeight!==o&amp;&amp;(t.componentData[n].componentWeight=o,e.modified(),!0)},e.getComponentWeight=(e=0)=&gt;e&lt;0||e&gt;=4?(yb(&quot;Invalid index&quot;),0):t.componentData[e].componentWeight,e.setInterpolationTypeToNearest=()=&gt;e.setInterpolationType(xb.NEAREST),e.setInterpolationTypeToLinear=()=&gt;e.setInterpolationType(xb.LINEAR),e.getInterpolationTypeAsString=()=&gt;sn.enumToString(xb,t.interpolationType)}(e,t)}var Ab={newInstance:sn.newInstance(bb,&quot;vtkImageProperty&quot;),extend:bb};const Cb={mapper:null,forceOpaque:!1,forceTranslucent:!1};function Sb(e,t,n={}){Object.assign(t,Cb,n),ts.extend(e,t,n),t.boundsMTime={},sn.obj(t.boundsMTime),sn.setGet(e,t,[&quot;mapper&quot;,&quot;forceOpaque&quot;,&quot;forceTranslucent&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkImageSlice&quot;),e.getActors=()=&gt;e,e.getImages=()=&gt;e,e.getIsOpaque=()=&gt;{if(t.forceOpaque)return!0;if(t.forceTranslucent)return!1;t.properties[0]||e.getProperty();let n=t.properties[0].getOpacity()&gt;=1;return n=n&amp;&amp;(!t.mapper||t.mapper.getIsOpaque()),n},e.hasTranslucentPolygonalGeometry=()=&gt;!1,e.makeProperty=Ab.newInstance,e.getBoundsForSlice=(n,r)=&gt;{const o=t.mapper.getBoundsForSlice(n,r);if(!Hi.isValid(o))return o;e.computeMatrix();const a=new Float64Array(16);return y(a,t.matrix),Hi.transformBounds(o,a)},e.getMinXBound=()=&gt;e.getBoundsByReference()[0],e.getMaxXBound=()=&gt;e.getBoundsByReference()[1],e.getMinYBound=()=&gt;e.getBoundsByReference()[2],e.getMaxYBound=()=&gt;e.getBoundsByReference()[3],e.getMinZBound=()=&gt;e.getBoundsByReference()[4],e.getMaxZBound=()=&gt;e.getBoundsByReference()[5],e.getRedrawMTime=()=&gt;{let e=t.mtime;if(null!==t.mapper){let n=t.mapper.getMTime();e=n&gt;e?n:e,null!==t.mapper.getInput()&amp;&amp;(t.mapper.getInputAlgorithm().update(),n=t.mapper.getInput().getMTime(),e=n&gt;e?n:e)}return t.properties.forEach((t=&gt;{e=Math.max(e,t.getMTime());const n=t.getRGBTransferFunction();null!==n&amp;&amp;(e=Math.max(e,n.getMTime()))})),e},e.getSupportsSelection=()=&gt;!!t.mapper&amp;&amp;t.mapper.getSupportsSelection()}(e,t)}var Pb={newInstance:sn.newInstance(Sb,&quot;vtkImageSlice&quot;),extend:Sb};const wb={slice:0,customDisplayExtent:[0,0,0,0,0,0],useCustomExtents:!1,backgroundColor:[0,0,0,1],colorTextureWidth:1024,opacityTextureWidth:1024,labelOutlineTextureWidth:1024};var Ib={extend:function(e,t,n={}){Object.assign(t,wb,n),Ls.extend(e,t,n),sn.setGet(e,t,[&quot;slice&quot;,&quot;useCustomExtents&quot;,&quot;colorTextureWidth&quot;,&quot;opacityTextureWidth&quot;,&quot;labelOutlineTextureWidth&quot;]),sn.setGetArray(e,t,[&quot;customDisplayExtent&quot;],6),sn.setGetArray(e,t,[&quot;backgroundColor&quot;],4),function(e,t){t.classHierarchy.push(&quot;vtkAbstractImageMapper&quot;),e.getIsOpaque=()=&gt;!0,e.getCurrentImage=()=&gt;null,e.getBoundsForSlice=()=&gt;(sn.vtkErrorMacro(&quot;vtkAbstractImageMapper.getBoundsForSlice - NOT IMPLEMENTED&quot;),Ga())}(e,t)}};function Ob(e,t,n){const r=n.getCurrentImage(),o=r.getExtent(),a=[o[0],o[2],o[4]],{ijkMode:i}=n.getClosestIJKAxis();let s=n.isA(&quot;vtkImageArrayMapper&quot;)?n.getSubSlice():n.getSlice();i!==n.getSlicingMode()&amp;&amp;(s=n.getSliceAtPosition(s)),a[i]+=s;const l=[0,0,0];r.indexToWorld(a,l),a[i]+=1;const c=[0,0,0];r.indexToWorld(a,c),c[0]-=l[0],c[1]-=l[1],c[2]-=l[2],te(c,c);const u=ai.intersectWithLine(e,t,l,c);if(u.intersection){const e=u.x,t=[0,0,0];return r.worldToIndex(e,t),{t:u.t,absoluteIJK:t}}return null}const{staticOffsetAPI:Rb,otherStaticMethods:Mb}=Ll,{SlicingMode:Db}=Qf;function Eb(e,t){function n(){let n;switch(t.slicingMode){case Db.X:n=0;break;case Db.Y:n=1;break;case Db.Z:n=2;break;default:return void(t.closestIJKAxis={ijkMode:t.slicingMode,flip:!1})}const r=Ua(e.getCurrentImage().getDirection());let o=0;for(;o&lt;3&amp;&amp;0===r[n+3*o];++o);const a=r[n+3*o]&lt;0;t.closestIJKAxis={ijkMode:o,flip:a}}t.classHierarchy.push(&quot;vtkImageMapper&quot;),e.getSliceAtPosition=n=&gt;{const r=e.getCurrentImage();let o;if(3===n.length)o=n;else if(Number.isFinite(n)){const e=r.getBounds();switch(t.slicingMode){case Db.X:o=[n,(e[3]+e[2])/2,(e[5]+e[4])/2];break;case Db.Y:o=[(e[1]+e[0])/2,n,(e[5]+e[4])/2];break;case Db.Z:o=[(e[1]+e[0])/2,(e[3]+e[2])/2,n]}}const a=[0,0,0];r.worldToIndex(o,a);const i=r.getExtent(),{ijkMode:s}=e.getClosestIJKAxis();let l=0;switch(s){case Db.I:l=Ra(a[0],i[0],i[1]);break;case Db.J:l=Ra(a[1],i[2],i[3]);break;case Db.K:l=Ra(a[2],i[4],i[5]);break;default:return 0}return l},e.setSliceFromCamera=n=&gt;{const r=n.getFocalPoint();switch(t.slicingMode){case Db.I:case Db.J:case Db.K:{const t=e.getSliceAtPosition(r);e.setSlice(t)}break;case Db.X:e.setSlice(r[0]);break;case Db.Y:e.setSlice(r[1]);break;case Db.Z:e.setSlice(r[2])}},e.setXSlice=t=&gt;{e.setSlicingMode(Db.X),e.setSlice(t)},e.setYSlice=t=&gt;{e.setSlicingMode(Db.Y),e.setSlice(t)},e.setZSlice=t=&gt;{e.setSlicingMode(Db.Z),e.setSlice(t)},e.setISlice=t=&gt;{e.setSlicingMode(Db.I),e.setSlice(t)},e.setJSlice=t=&gt;{e.setSlicingMode(Db.J),e.setSlice(t)},e.setKSlice=t=&gt;{e.setSlicingMode(Db.K),e.setSlice(t)},e.getSlicingModeNormal=()=&gt;{const n=[0,0,0],r=e.getCurrentImage().getDirection();switch(t.slicingMode){case Db.X:n[0]=1;break;case Db.Y:n[1]=1;break;case Db.Z:n[2]=1;break;case Db.I:$o(r,[1,0,0],n);break;case Db.J:$o(r,[0,1,0],n);break;case Db.K:$o(r,[0,0,1],n)}return n},e.setSlicingMode=r=&gt;{t.slicingMode!==r&amp;&amp;(t.slicingMode=r,e.getCurrentImage()&amp;&amp;n(),e.modified())},e.getClosestIJKAxis=()=&gt;(void 0!==t.closestIJKAxis&amp;&amp;t.closestIJKAxis.ijkMode!==Db.NONE||!e.getCurrentImage()||n(),t.closestIJKAxis),e.computeBounds=()=&gt;{const n=e.getCurrentImage();if(!n)return void Hi.reset(t.bounds);if(!t.useCustomExtents)return void Hi.setBounds(t.bounds,n.getBounds());const r=t.customDisplayExtent.slice(),{ijkMode:o}=e.getClosestIJKAxis();let a=t.slice;switch(o!==t.slicingMode&amp;&amp;(a=e.getSliceAtPosition(t.slice)),o){case Db.I:r[0]=a,r[1]=a;break;case Db.J:r[2]=a,r[3]=a;break;case Db.K:r[4]=a,r[5]=a}Hi.setBounds(t.bounds,n.extentToBounds(r))},e.getBoundsForSlice=(n=t.slice,r=0)=&gt;{const o=e.getCurrentImage();if(!o)return Ga();const a=o.getSpatialExtent(),{ijkMode:i}=e.getClosestIJKAxis();let s=n;switch(i!==t.slicingMode&amp;&amp;(s=e.getSliceAtPosition(n)),i){case Db.I:a[0]=s-r,a[1]=s+r;break;case Db.J:a[2]=s-r,a[3]=s+r;break;case Db.K:a[4]=s-r,a[5]=s+r}return o.extentToBounds(a)},e.intersectWithLineForPointPicking=(t,n)=&gt;function(e,t,n){const r=Ob(e,t,n);if(r){const e=n.getCurrentImage().getExtent(),t=[Math.round(r.absoluteIJK[0]),Math.round(r.absoluteIJK[1]),Math.round(r.absoluteIJK[2])];return t[0]&lt;e[0]||t[0]&gt;e[1]||t[1]&lt;e[2]||t[1]&gt;e[3]||t[2]&lt;e[4]||t[2]&gt;e[5]?null:{t:r.t,ijk:t}}return null}(t,n,e),e.intersectWithLineForCellPicking=(t,n)=&gt;function(e,t,n){const r=Ob(e,t,n);if(r){const e=n.getCurrentImage().getExtent(),t=r.absoluteIJK,o=[Math.floor(t[0]),Math.floor(t[1]),Math.floor(t[2])];if(o[0]&lt;e[0]||o[0]&gt;e[1]-1||o[1]&lt;e[2]||o[1]&gt;e[3]-1||o[2]&lt;e[4]||o[2]&gt;(e[5]?e[5]-1:e[5]))return null;const a=[t[0]-o[0],t[1]-o[1],t[2]-o[2]];return{t:r.t,ijk:o,pCoords:a}}return null}(t,n,e),e.getCurrentImage=()=&gt;e.getInputData()}const Vb={slicingMode:Db.NONE,closestIJKAxis:{ijkMode:Db.NONE,flip:!1},renderToRectangle:!1,sliceAtFocalPoint:!1,preferSizeOverAccuracy:!1};function Lb(e,t,n={}){Object.assign(t,Vb,n),Ib.extend(e,t,n),sn.get(e,t,[&quot;slicingMode&quot;]),sn.setGet(e,t,[&quot;closestIJKAxis&quot;,&quot;renderToRectangle&quot;,&quot;sliceAtFocalPoint&quot;,&quot;preferSizeOverAccuracy&quot;]),Ll.implementCoincidentTopologyMethods(e,t),Eb(e,t)}var Bb={newInstance:sn.newInstance(Lb,&quot;vtkImageMapper&quot;),extend:Lb,...Rb,...Mb,...Qf};const{vtkErrorMacro:Fb}=sn;function Nb(e,t,n,r){e.set(function(e,t){let n=0;return e.map(((e,r)=&gt;r===n?(n+=e+1,e):e+t))}(t,n),r)}const kb={outputPointsPrecision:Us.DEFAULT};function Gb(e,t,n={}){Object.assign(t,kb,n),sn.setGet(e,t,[&quot;outputPointsPrecision&quot;]),sn.obj(e,t),sn.algo(e,t,1,1),function(e,t){t.classHierarchy.push(&quot;vtkAppendPolyData&quot;),e.requestData=(n,r)=&gt;{const o=e.getNumberOfInputPorts();if(!o)return void Fb(&quot;No input specified.&quot;);if(1===o)return void(r[0]=n[0]);const a=r[0]&amp;&amp;n[0]!==r[0]?r[0].initialize():Ru.newInstance();let i=0,s=0,l=1,c=1,u=0,d=0,p=0,f=0,g=!0,m=!0,h=!0;for(let e=0;e&lt;o;e++){const t=n[e];if(!t)continue;const r=t.getPoints().getNumberOfPoints();i+=r,u+=t.getVerts().getNumberOfValues(),d+=t.getLines().getNumberOfValues(),p+=t.getStrips().getNumberOfValues(),f+=t.getPolys().getNumberOfValues(),r&amp;&amp;(c&amp;&amp;(c=0,s=t.getPoints().getDataType()),l=t.getPoints().getDataType(),s=s&gt;l?s:l);const o=t.getPointData();o?(g=g&amp;&amp;null!==o.getNormals(),m=m&amp;&amp;null!==o.getTCoords(),h=h&amp;&amp;null!==o.getScalars()):(g=!1,m=!1,h=!1)}t.outputPointsPrecision===Us.SINGLE?s=ms.FLOAT:t.outputPointsPrecision===Us.DOUBLE&amp;&amp;(s=ms.DOUBLE);const v=lc.newInstance({dataType:s});v.setNumberOfPoints(i);const T=v.getData(),x=new Uint32Array(u),y=new Uint32Array(d),b=new Uint32Array(p),A=new Uint32Array(f);let C=null,S=null,P=null;const w=n[o-1];if(g){const e=w.getPointData().getNormals();C=Is.newInstance({numberOfComponents:3,numberOfTuples:i,size:3*i,dataType:e.getDataType(),name:e.getName()})}if(m){const e=w.getPointData().getTCoords();S=Is.newInstance({numberOfComponents:2,numberOfTuples:i,size:2*i,dataType:e.getDataType(),name:e.getName()})}if(h){const e=w.getPointData().getScalars();P=Is.newInstance({numberOfComponents:e.getNumberOfComponents(),numberOfTuples:i,size:i*e.getNumberOfComponents(),dataType:e.getDataType(),name:e.getName()})}i=0,u=0,d=0,p=0,f=0;for(let e=0;e&lt;o;e++){const t=n[e];T.set(t.getPoints().getData(),3*i),Nb(x,t.getVerts().getData(),i,u),u+=t.getVerts().getNumberOfValues(),Nb(y,t.getLines().getData(),i,d),d+=t.getLines().getNumberOfValues(),Nb(b,t.getStrips().getData(),i,p),p+=t.getStrips().getNumberOfValues(),Nb(A,t.getPolys().getData(),i,f),f+=t.getPolys().getNumberOfValues();const r=t.getPointData();if(g){const e=r.getNormals();C.getData().set(e.getData(),3*i)}if(m){const e=r.getTCoords();S.getData().set(e.getData(),2*i)}if(h){const e=r.getScalars();P.getData().set(e.getData(),i*P.getNumberOfComponents())}i+=t.getPoints().getNumberOfPoints()}a.setPoints(v),a.getVerts().setData(x),a.getLines().setData(y),a.getStrips().setData(b),a.getPolys().setData(A),C&amp;&amp;a.getPointData().setNormals(C),S&amp;&amp;a.getPointData().setTCoords(S),P&amp;&amp;a.getPointData().setScalars(P),r[0]=a}}(e,t)}var Ub={newInstance:sn.newInstance(Gb,&quot;vtkAppendPolyData&quot;),extend:Gb};const _b={height:1,radius:.5,resolution:6,center:[0,0,0],direction:[1,0,0],capping:!0,pointType:&quot;Float64Array&quot;};function Kb(e,t,n={}){Object.assign(t,_b,n),sn.obj(e,t),sn.setGet(e,t,[&quot;height&quot;,&quot;radius&quot;,&quot;resolution&quot;,&quot;capping&quot;]),sn.setGetArray(e,t,[&quot;center&quot;,&quot;direction&quot;],3),sn.algo(e,t,0,1),function(e,t){t.classHierarchy.push(&quot;vtkConeSource&quot;),e.requestData=(e,n)=&gt;{const r=2*Math.PI/t.resolution,o=-t.height/2,a=t.resolution+1,i=4*t.resolution+1+t.resolution;let s=0;const l=sn.newTypedArray(t.pointType,3*a);let c=0;const u=new Uint32Array(i);l[0]=t.height/2,l[1]=0,l[2]=0,t.capping&amp;&amp;(u[c++]=t.resolution);for(let e=0;e&lt;t.resolution;e++)s++,l[3*s+0]=o,l[3*s+1]=t.radius*Math.cos(e*r),l[3*s+2]=t.radius*Math.sin(e*r),t.capping&amp;&amp;(u[t.resolution-c+++1]=s);for(let e=0;e&lt;t.resolution;e++)u[c++]=3,u[c++]=0,u[c++]=e+1,u[c++]=e+2&gt;t.resolution?1:e+2;Of.buildFromRadian().translate(...t.center).rotateFromDirections([1,0,0],t.direction).apply(l);const d=n[0]?.initialize()||Ru.newInstance();d.getPoints().setData(l,3),d.getPolys().setData(u,1),n[0]=d}}(e,t)}var zb={newInstance:sn.newInstance(Kb,&quot;vtkConeSource&quot;),extend:Kb};const Wb={height:1,initAngle:0,radius:1,resolution:6,center:[0,0,0],direction:[0,1,0],capping:!0,pointType:&quot;Float64Array&quot;};function Hb(e,t,n={}){Object.assign(t,Wb,n),sn.obj(e,t),sn.setGet(e,t,[&quot;height&quot;,&quot;initAngle&quot;,&quot;otherRadius&quot;,&quot;radius&quot;,&quot;resolution&quot;,&quot;capping&quot;]),sn.setGetArray(e,t,[&quot;center&quot;,&quot;direction&quot;],3),sn.algo(e,t,0,1),function(e,t){t.classHierarchy.push(&quot;vtkCylinderSource&quot;),e.requestData=(e,n)=&gt;{const r=2*Math.PI/t.resolution;let o=2*t.resolution,a=5*t.resolution;t.capping&amp;&amp;(o=4*t.resolution,a=7*t.resolution+2);const i=sn.newTypedArray(t.pointType,3*o);let s=0;const l=new Uint32Array(a),c=new Float32Array(3*o),u=Is.newInstance({numberOfComponents:3,values:c,name:&quot;Normals&quot;}),d=new Float32Array(2*o),p=Is.newInstance({numberOfComponents:2,values:d,name:&quot;TCoords&quot;}),f=[0,0,0],g=[0,0,0],m=[0,0,0],h=[0,0,0],v=[0,0],T=[0,0],x=null==t.otherRadius?t.radius:t.otherRadius;for(let e=0;e&lt;t.resolution;e++){f[0]=Math.cos(e*r+t.initAngle),g[0]=f[0],m[0]=t.radius*f[0]+t.center[0],h[0]=m[0],v[0]=Math.abs(2*e/t.resolution-1),T[0]=v[0],m[1]=.5*t.height+t.center[1],h[1]=-.5*t.height+t.center[1],v[1]=0,T[1]=1,f[2]=-Math.sin(e*r+t.initAngle),g[2]=f[2],m[2]=x*f[2]+t.center[2],h[2]=m[2];const n=2*e;for(let e=0;e&lt;3;e++)c[3*n+e]=f[e],c[3*(n+1)+e]=g[e],i[3*n+e]=m[e],i[3*(n+1)+e]=h[e],e&lt;2&amp;&amp;(d[2*n+e]=v[e],d[2*(n+1)+e]=T[e])}for(let e=0;e&lt;t.resolution;e++){l[s++]=4,l[s++]=2*e,l[s++]=2*e+1;const n=(2*e+3)%(2*t.resolution);l[s++]=n,l[s++]=n-1}if(t.capping){for(let e=0;e&lt;t.resolution;e++){m[0]=t.radius*Math.cos(e*r+t.initAngle),h[0]=m[0],v[0]=m[0],T[0]=m[0],m[0]+=t.center[0],h[0]+=t.center[0],f[1]=1,g[1]=-1,m[1]=.5*t.height+t.center[1],h[1]=-.5*t.height+t.center[1],m[2]=-x*Math.sin(e*r+t.initAngle),h[2]=m[2],v[1]=m[2],T[1]=m[2],m[2]+=t.center[2],h[2]+=t.center[2];const n=2*t.resolution+e,o=3*t.resolution+t.resolution-e-1;for(let e=0;e&lt;3;e++)c[3*n+e]=f[e],c[3*o+e]=g[e],i[3*n+e]=m[e],i[3*o+e]=h[e],e&lt;2&amp;&amp;(d[2*n+e]=v[e],d[2*o+e]=T[e])}l[s++]=t.resolution;for(let e=0;e&lt;t.resolution;e++)l[s++]=2*t.resolution+e;l[s++]=t.resolution;for(let e=0;e&lt;t.resolution;e++)l[s++]=3*t.resolution+e}Of.buildFromRadian().translate(...t.center).rotateFromDirections([0,1,0],t.direction).translate(...t.center.map((e=&gt;-1*e))).apply(i);const y=n[0]?.initialize()||Ru.newInstance();y.getPoints().setData(i,3),y.getPolys().setData(l,1),y.getPointData().setNormals(u),y.getPointData().setTCoords(p),n[0]=y}}(e,t)}var jb={newInstance:sn.newInstance(Hb,&quot;vtkCylinderSource&quot;),extend:Hb};const Xb={tipResolution:6,tipRadius:.1,tipLength:.35,shaftResolution:6,shaftRadius:.03,invert:!1,direction:[1,0,0],pointType:&quot;Float64Array&quot;};function qb(e,t,n={}){Object.assign(t,Xb,n),sn.obj(e,t),sn.setGet(e,t,[&quot;tipResolution&quot;,&quot;tipRadius&quot;,&quot;tipLength&quot;,&quot;shaftResolution&quot;,&quot;shaftRadius&quot;,&quot;invert&quot;]),sn.setGetArray(e,t,[&quot;direction&quot;],3),sn.algo(e,t,0,1),function(e,t){t.classHierarchy.push(&quot;vtkArrowSource&quot;),e.requestData=(e,n)=&gt;{const r=jb.newInstance({capping:!0});r.setResolution(t.shaftResolution),r.setRadius(t.shaftRadius),r.setHeight(1-t.tipLength),r.setCenter(0,.5*(1-t.tipLength),0);const o=r.getOutputData(),a=o.getPoints().getData(),i=o.getPointData().getNormals().getData();Of.buildFromDegree().rotateZ(-90).apply(a).apply(i);const s=zb.newInstance();s.setResolution(t.tipResolution),s.setHeight(t.tipLength),s.setRadius(t.tipRadius);const l=s.getOutputData(),c=l.getPoints().getData();Of.buildFromRadian().translate(1-.5*t.tipLength,0,0).apply(c);const u=Ub.newInstance();u.setInputData(o),u.addInputData(l);const d=u.getOutputData(),p=d.getPoints().getData();Of.buildFromRadian().translate(.5*t.tipLength-.5,0,0).apply(p),t.invert?(Of.buildFromRadian().rotateFromDirections([1,0,0],t.direction).scale(-1,-1,-1).apply(p),n[0]=d):(Of.buildFromRadian().rotateFromDirections([1,0,0],t.direction).scale(1,1,1).apply(p),n[0]=u.getOutputData())}}(e,t)}var Yb={newInstance:sn.newInstance(qb,&quot;vtkArrowSource&quot;),extend:qb};function Jb(e){const t=e.getPoints().getBounds(),n=[.5*-(t[0]+t[1]),.5*-(t[2]+t[3]),.5*-(t[4]+t[5])];Of.buildFromDegree().translate(...n).apply(e.getPoints().getData())}function Zb(e,t,n=!1){const r=e.getPoints().getBounds(),o=[0,0,0];o[t]=n?-r[2*t+1]:-r[2*t],Of.buildFromDegree().translate(...o).apply(e.getPoints().getData())}function Qb(e,t,n,r){const o=e.getPoints().getData().length,a=new Uint8ClampedArray(o);let i=0;for(;i&lt;o;)a[i++]=t,a[i++]=n,a[i++]=r;e.getPointData().setScalars(Is.newInstance({name:&quot;color&quot;,numberOfComponents:3,values:a}))}function $b(e,t,n={}){fs.extend(e,t,function(e){return{config:{recenter:!0,tipResolution:60,tipRadius:.1,tipLength:.2,shaftResolution:60,shaftRadius:.03,invert:!1,...e?.config},xConfig:{color:[255,0,0],invert:!1,...e?.xConfig},yConfig:{color:[255,255,0],invert:!1,...e?.yConfig},zConfig:{color:[0,128,0],invert:!1,...e?.zConfig}}}(n)),sn.setGet(e,t,[&quot;config&quot;,&quot;xConfig&quot;,&quot;yConfig&quot;,&quot;zConfig&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkAxesActor&quot;);const n=Ql.newInstance();e.setMapper(n),e.update=()=&gt;{let e={...t.config,...t.xConfig};const r=Yb.newInstance({direction:[1,0,0],...e}).getOutputData();t.config.recenter?Jb(r):Zb(r,0,e.invert),Qb(r,...e.color),e={...t.config,...t.yConfig};const o=Yb.newInstance({direction:[0,1,0],...e}).getOutputData();t.config.recenter?Jb(o):Zb(o,1,e.invert),Qb(o,...e.color),e={...t.config,...t.zConfig};const a=Yb.newInstance({direction:[0,0,1],...e}).getOutputData();t.config.recenter?Jb(a):Zb(a,2,e.invert),Qb(a,...e.color);const i=Ub.newInstance();i.setInputData(r),i.addInputData(o),i.addInputData(a),n.setInputConnection(i.getOutputPort())},e.update();const r=sn.debounce(e.update,0);e.setXAxisColor=t=&gt;e.setXConfig({...e.getXConfig(),color:t}),e.setYAxisColor=t=&gt;e.setYConfig({...e.getYConfig(),color:t}),e.setZAxisColor=t=&gt;e.setZConfig({...e.getZConfig(),color:t}),e.getXAxisColor=()=&gt;t.getXConfig().color,e.getYAxisColor=()=&gt;t.getYConfig().color,e.getZAxisColor=()=&gt;t.getZConfig().color,t._onConfigChanged=r,t._onXConfigChanged=r,t._onYConfigChanged=r,t._onZConfigChanged=r}(e,t)}var eA={newInstance:sn.newInstance($b,&quot;vtkAxesActor&quot;),extend:$b};const tA=&quot;resetcamera&quot;,nA=&quot;orientation&quot;,rA={MODE_RESET_CAMERA:tA,MODE_ORIENTATION:nA,MODE_SAME:&quot;same&quot;};function oA(e,t){t.classHierarchy.push(&quot;vtkCameraSynchronizer&quot;);const n=new Float64Array(9),r=new Float64Array(3),o=[];function a(){for(;o.length;)o.pop().unsubscribe();if(!t.srcRenderer||!t.dstRenderer)return;const n=t.srcRenderer.getActiveCamera(),r=t.srcRenderer.getRenderWindow().getInteractor();o.push(n.onModified((()=&gt;{r.isAnimating()||e.update()}))),o.push(r.onAnimation(e.update)),o.push(r.onEndAnimation(e.update))}t._onSrcRendererChanged=a,t._onDstRendererChanged=a,e.update=()=&gt;{if(!t.active||!t.srcRenderer||!t.dstRenderer)return;const e=t.srcRenderer.getActiveCamera(),o=t.dstRenderer.getActiveCamera(),a=function(e,t,r){return(n[0]!==e[0]||n[1]!==e[1]||n[2]!==e[2]||n[3]!==t[0]||n[4]!==t[1]||n[5]!==t[2]||n[6]!==r[0]||n[7]!==r[1]||n[8]!==r[2])&amp;&amp;(n[0]=e[0],n[1]=e[1],n[2]=e[2],n[3]=t[0],n[4]=t[1],n[5]=t[2],n[6]=r[0],n[7]=r[1],n[8]=r[2],n)}(e.getReferenceByName(&quot;position&quot;),e.getReferenceByName(&quot;focalPoint&quot;),e.getReferenceByName(&quot;viewUp&quot;));a&amp;&amp;(t.mode===nA?(r[0]=a[0]-a[3],r[1]=a[1]-a[4],r[2]=a[2]-a[5],jo(r),o.setPosition(t.focalPoint[0]+t.distance*r[0],t.focalPoint[1]+t.distance*r[1],t.focalPoint[2]+t.distance*r[2]),o.setFocalPoint(t.focalPoint[0],t.focalPoint[1],t.focalPoint[2]),o.setViewUp(a[6],a[7],a[8])):(o.setPosition(a[0],a[1],a[2]),o.setFocalPoint(a[3],a[4],a[5]),o.setViewUp(a[6],a[7],a[8])),t.mode===tA&amp;&amp;t.dstRenderer.resetCamera())},e.delete=qt((()=&gt;e.setSrcRenderer(null)),e.delete),a()}const aA={mode:nA,focalPoint:[0,0,0],distance:6.8,active:!0};function iA(e,t,n={}){Object.assign(t,aA,n),Vt(e,t),Gt(e,t,[&quot;mode&quot;,&quot;active&quot;,&quot;srcRenderer&quot;,&quot;dstRenderer&quot;,&quot;distance&quot;]),Kt(e,t,[&quot;focalPoint&quot;],3,0),oA(e,t)}var sA={newInstance:Xt(iA,&quot;vtkCameraSynchronizer&quot;),extend:iA,SynchronizationMode:rA};const lA={};const cA={CameraSync:class{constructor(e,t){this.ctx=e,this.behavior=sA.newInstance(this.getProperties(t)),this.behavior.update()}getProperties({actorBounds:e,srcRenderer:t,dstRenderer:n}){return{distance:3.4*Math.max(e[1]-e[0],e[3]-e[2],e[5]-e[4]),focalPoint:[.5*(e[0]+e[1]),.5*(e[2]+e[3]),.5*(e[4]+e[5])],mode:sA.SynchronizationMode.MODE_ORIENTATION,srcRenderer:this.ctx.getInstance(t),dstRenderer:this.ctx.getInstance(n)}}update(e){this.behavior.set(this.getProperties(e)),this.behavior.update()}delete(){this.behavior.delete()}}};var uA={applyBehaviors:function(e,t,n){const r=e.get(&quot;synchronizedViewId&quot;).synchronizedViewId;if(!t.behaviors||!r)return;lA[r]||(lA[r]={});const o=lA[r];if(t.behaviors.autoOrientation){const t=e.getRenderers();if(!o.autoOrientationAxes&amp;&amp;2===t.length){let e=null,n=null;for(let r=0;r&lt;t.length;r++){const o=t[r];o.getInteractive()?e=o:n=o}e&amp;&amp;n&amp;&amp;(o.autoOrientationAxes=sA.newInstance({srcRenderer:e,dstRenderer:n}))}o.autoOrientationAxes&amp;&amp;2!==t.length&amp;&amp;(o.autoOrientationAxes.delete(),delete o.autoOrientationAxes)}const a=Object.keys(t.behaviors),i=Object.keys(o);for(let e=0;e&lt;a.length;e++){const r=a[e];if(o[r])o[r].update(t.behaviors[r]);else{const e=t.behaviors[r];cA[e.type]?o[r]=new cA[e.type](n,e):console.log(&quot;No mapping for&quot;,e)}}for(let e=0;e&lt;i.length;e++){const n=a[e];t.behaviors[n]||(o[n].delete(),delete o[n])}}};const dA={},pA=/instance:\\${([^}]+)}/,fA={},gA=[],mA={},hA={vtkPoints:lc,vtkCellArray:oc,vtkDataArray:Is};function vA(e){return e.map((e=&gt;pA.exec(e))).filter((e=&gt;e)).map((e=&gt;e[1]))}function TA(e,t=[]){return e.dependencies&amp;&amp;e.dependencies.forEach((e=&gt;{t.push(e.id),TA(e,t)})),t}function xA(e,t,n,r){if(!t)return Promise.reject(new Error(&quot;No instance provided.&quot;));const o=dA[e];return o&amp;&amp;o.update?o.update(t,n,r):Promise.reject(new Error(`No updater for ${e}`))}function yA(e,t={}){const n=dA[e];return n&amp;&amp;n.build?n.build(t):(console.log(&quot;No builder for&quot;,e),null)}function bA(){Object.keys(dA).forEach((e=&gt;{delete dA[e]}))}function AA(e){if(1===e[1].length)return-1===gA.indexOf(e[1][0]);let t=!1;for(let n=0;n&lt;e[1].length;n++)t=t||-1===gA.indexOf(e[1][n]);return t}function CA(e,t,n){n.start(),e.set(t.properties),t.dependencies&amp;&amp;t.dependencies.forEach((e=&gt;{const{id:t,type:r}=e;if(mA[r]){const{key:n,value:o}=mA[r];if(!n||e.properties[n]===o)return void gA.push((e=&gt;`instance:\\${${e}}`)(t))}let o=n.getInstance(t);o||(o=yA(r,{managedInstanceId:t}),n.registerInstance(t,o)),xA(r,o,e,n)})),t.calls&amp;&amp;t.calls.filter(AA).forEach((t=&gt;{var r;e[t[0]].apply(null,(r=n,t[1].map((e=&gt;{const t=pA.exec(e);return t?r.getInstance(t[1]):e}))))}));const r=[];if(t.arrays){const o=[],a=Object.values(t.arrays).map((t=&gt;(n.start(),n.getArray(t.hash,t.dataType,n).then(function(e,t,n){return r=&gt;{const o=t.registration?t.registration:&quot;addArray&quot;,a=t.location?e.getReferenceByName(t.location):e;let i=null;if(i=t.location?e.getReferenceByName(t.location).getArray(t.name):e[`get${o.substring(3)}`](),i)return i.getData()!==r&amp;&amp;n.push([i.setData,[r,t.numberOfComponents]]),i;const s=t.vtkClass?t.vtkClass:&quot;vtkDataArray&quot;,l=hA[s].newInstance({...t,values:r});return n.push([a[o],[l]]),l}}(e,t,o)).catch((e=&gt;{console.log(&quot;Error fetching array&quot;,JSON.stringify(t),e)})).finally(n.end))));n.start(),r.push(Promise.all(a).then((()=&gt;(o.length&amp;&amp;e.modified(),function(e){for(;e.length;){const[t,n]=e.shift();t(...n)}}(o),!0))).catch((e=&gt;{console.error(&quot;Error in array handling for state&quot;,JSON.stringify(t),e)})).finally(n.end))}return n.end(),Promise.all(r)}function SA(e,t,n){fA[t.id]||CA(e,t,n),fA[t.id]=!0}function PA(e,t){const n=[],r=e.getNumberOfArrays();for(let o=0;o&lt;r;o++){const r=e.getArray(o).getName();t.has(r)||n.push(r)}for(let t=0;t&lt;n.length;t++)e.removeArray(n[t])}function wA(e){const t=e.name?`_${e.name}`:&quot;&quot;;return`${e.hash}_${e.dataType}${t}`}function IA(e=[]){return(t,n,r)=&gt;{r.start();const o={...n.properties};n.arrays||(n.arrays={});for(let t=0;t&lt;e.length;t++){const r=e[t];if(n.properties[r]){const e=n.properties[r];e.registration=`set${Pt(r)}`;const t=wA(e);n.arrays[t]=e,delete o[r]}}const a=n.properties.fields||[];for(let e=0;e&lt;a.length;e++){const t=a[e],r=wA(t);n.arrays[r]=t}delete o.fields;const i={pointData:new Set,cellData:new Set,fieldData:new Set};a.forEach((({location:e,name:t})=&gt;{i[e].add(t)})),PA(t.getPointData(),i.pointData),PA(t.getCellData(),i.cellData);const s={...n};s.properties=o;const l=CA(t,s,r);return r.end(),l}}const OA=IA([&quot;points&quot;,&quot;polys&quot;,&quot;verts&quot;,&quot;lines&quot;,&quot;strips&quot;]),RA=IA([]);function MA(e,t=null,n=CA){yA||xA?dA[e]={build:t,update:n}:delete dA[e]}const DA={vtkMapper:[&quot;vtkOpenGLPolyDataMapper&quot;,&quot;vtkCompositePolyDataMapper2&quot;,&quot;vtkDataSetMapper&quot;],vtkProperty:[&quot;vtkOpenGLProperty&quot;],vtkRenderer:[&quot;vtkOpenGLRenderer&quot;],vtkCamera:[&quot;vtkOpenGLCamera&quot;],vtkColorTransferFunction:[&quot;vtkPVDiscretizableColorTransferFunction&quot;],vtkActor:[&quot;vtkOpenGLActor&quot;,&quot;vtkPVLODActor&quot;],vtkLight:[&quot;vtkOpenGLLight&quot;,&quot;vtkPVLight&quot;],vtkTexture:[&quot;vtkOpenGLTexture&quot;],vtkImageMapper:[&quot;vtkOpenGLImageSliceMapper&quot;],vtkVolumeMapper:[&quot;vtkFixedPointVolumeRayCastMapper&quot;]},EA={vtkAxesActor:{build:eA.newInstance,update:CA},vtkRenderWindow:{build:Eh.newInstance,update:function(e,t,n){t.calls&amp;&amp;t.calls.filter(AA).filter((e=&gt;&quot;removeRenderer&quot;===e[0])).forEach((e=&gt;{vA(e[1]).forEach((e=&gt;{n.getInstance(e).getViewProps().forEach((e=&gt;{const t=e.get(&quot;flattenedDepIds&quot;).flattenedDepIds;t&amp;&amp;t.forEach((e=&gt;n.unregisterInstance(e))),n.unregisterInstance(n.getInstanceId(e))}))}))})),e.render(),CA(e,t,n),uA.applyBehaviors(e,t,n)}},vtkRenderer:{build:wh.newInstance,update:function(e,t,n){CA(e,t,n);const r=new Set;t.dependencies&amp;&amp;t.dependencies.forEach((e=&gt;{const t=n.getInstance(e.id);if(t){const n=TA(e);t.set({flattenedDepIds:n},!0),n.forEach((e=&gt;r.add(e)))}}));const o=new Set;t.calls&amp;&amp;t.calls.filter(AA).filter((e=&gt;&quot;removeViewProp&quot;===e[0])).forEach((e=&gt;{vA(e[1]).forEach((e=&gt;{const t=n.getInstance(e).get(&quot;flattenedDepIds&quot;).flattenedDepIds;t&amp;&amp;t.forEach((e=&gt;o.add(e))),o.add(e)}))})),[...o].filter((e=&gt;!r.has(e))).forEach((e=&gt;n.unregisterInstance(e)))}},vtkLookupTable:{build:Sl.newInstance,update:CA},vtkCamera:{build:dh.newInstance,update:SA},vtkPolyData:{build:Ru.newInstance,update:OA},vtkImageData:{build:il.newInstance,update:RA},vtkMapper:{build:Ql.newInstance,update:CA},vtkGlyph3DMapper:{build:$y.newInstance,update:CA},vtkProperty:{build:us.newInstance,update:CA},vtkActor:{build:fs.newInstance,update:CA},vtkLight:{build:gh.newInstance,update:CA},vtkColorTransferFunction:{build:jy.newInstance,update:function(e,t,n){if(n.start(),t.properties.nodes){const n=t.properties.nodes.map((([e,t,n,r,o,a])=&gt;({x:e,r:t,g:n,b:r,midpoint:o,sharpness:a})));e.set({...t.properties,nodes:n},!0)}else e.set(t.properties);n.end()}},vtkTexture:{build:Eu.newInstance,update:CA},vtkVolume:{build:fb.newInstance,update:CA},vtkVolumeMapper:{build:Tb.newInstance,update:CA},vtkVolumeProperty:{build:ub.newInstance,update:CA},vtkImageSlice:{build:Pb.newInstance,update:CA},vtkImageMapper:{build:Bb.newInstance,update:CA},vtkImageProperty:{build:Ab.newInstance,update:CA},vtkPiecewiseFunction:{build:rb.newInstance,update:function(e,t,n){if(n.start(),t.properties.nodes){const n=t.properties.nodes.map((([e,t,n,r])=&gt;({x:e,y:t,midpoint:n,sharpness:r})));e.set({...t.properties,nodes:n},!0),e.sortAndUpdateRange()}else e.set(t.properties);n.end()}},vtkCubeAxesActor:{build:Yu.newInstance,update:CA},vtkScalarBarActor:{build:Op.newInstance,update:CA}};function VA(e=!0){e&amp;&amp;bA(),Object.keys(EA).forEach((e=&gt;{const t=EA[e];MA(e,t.build,t.update)}))}function LA(){Object.keys(DA).forEach((e=&gt;{DA[e].forEach((t=&gt;{dA[t]=dA[e]}))}))}VA(),LA(),mA.vtkPVLight={};var BA={build:yA,update:xA,genericUpdater:CA,oneTimeGenericUpdater:SA,setTypeMapping:MA,clearTypeMapping:bA,getSupportedTypes:function(){return Object.keys(dA)},clearOneTimeUpdaters:function(...e){if(0===e.length)return void Object.keys(fA).forEach((e=&gt;{delete fA[e]}));let t=e;return 1===t.length&amp;&amp;Array.isArray(t[0])&amp;&amp;(t=t[0]),t.forEach((e=&gt;{delete fA[e]})),t},updateRenderWindow:function(e,t,n){return xA(&quot;vtkRenderWindow&quot;,e,t,n)},excludeInstance:function(e,t,n){mA[e]={key:t,value:n}},setDefaultMapping:VA,applyDefaultAliases:LA,alwaysUpdateCamera:function(){MA(&quot;vtkCamera&quot;,dh.newInstance),LA()}};const FA={};function NA(){const e={};let t=null;return{setFetchArrayFunction:function(e){t=e},getArray:function(n,r,o){const a=e[n];return a?(a.mtimes[o.getActiveViewId()]=o.getMTime(),new Promise(((e,t)=&gt;{e(a.array)}))):t?new Promise(((a,i)=&gt;{t(n).then((t=&gt;{let i=t;if(&quot;string&quot;==typeof t&amp;&amp;(i=um.toArrayBuffer(t)),i instanceof Blob){const t=new FileReader;t.onload=()=&gt;{const i=Ct(r,t.result),s={[o.getActiveViewId()]:o.getMTime()};e[n]={mtimes:s,array:i},a(i)},t.readAsArrayBuffer(i)}else{const t=Ct(r,i),s={[o.getActiveViewId()]:o.getMTime()};e[n]={mtimes:s,array:t},a(t)}}),(e=&gt;{console.log(&quot;Error getting data array:&quot;),console.log(e),i(e)}))})):Promise.reject(new Error(&#x27;No array fetcher found, please use &quot;setArrayFetcher&quot; to provide one&#x27;))},emptyCachedArrays:function(){Object.keys(e).forEach((t=&gt;{delete e[t]}))},freeOldArrays:function(t,n){const r=n.getMTime()-t;Object.keys(e).filter((t=&gt;e[t].mtimes[n.getActiveViewId()])).filter((t=&gt;e[t].mtimes[n.getActiveViewId()]&lt;r)).forEach((t=&gt;{delete e[t]}))}}}function kA(){const e={};return{getInstance:function(t){return e[t]},getInstanceId:function(t){let n=null;return Object.keys(e).forEach((r=&gt;{t===e[r]&amp;&amp;(n=r)})),n},registerInstance:function(t,n){e[t]=n,n.set({remoteId:t},!0,!0)},unregisterInstance:function(t){delete e[t]},emptyCachedInstances:function(){Object.keys(e).forEach((t=&gt;{delete e[t]}))}}}function GA(){let e=0;const t={start(){e+=1,t.invokeProgressEvent(e)},end(){e-=1,t.invokeProgressEvent(e),0===e&amp;&amp;t.invokeProgressDone()},resetProgress(){e=0}},n={};return jt(t,n,&quot;progressEvent&quot;),jt(t,n,&quot;progressDone&quot;),t}function UA(){const e={};let t=&quot;default&quot;;return{getMTime:function(n){return e[n||t]||1},incrementMTime:function(n){const r=n||t;e[r]||(e[r]=1),e[r]+=1},setActiveViewId:function(e){t=e},getActiveViewId:function(){return t}}}function _A(e=&quot;default&quot;){let t=FA[e];return t||(t={...NA(),...kA(),...GA(),...UA()},FA[e]=t),t}function KA(e,t){let n=-1,r=100;const o=e=&gt;e.get(&quot;managedInstanceId&quot;).managedInstanceId,a=()=&gt;Jt(e,o);function i(t){e.set({synchronizedViewId:t},!0,!0)}function s(){return e.get(&quot;synchronizedViewId&quot;).synchronizedViewId}return{synchronize:function(o){s()||i(o.id);const a=o.mtime||0;return s()===o.id&amp;&amp;n&lt;a?new Promise(((i,s)=&gt;{const l=t.onProgressDone((()=&gt;{l.unsubscribe(),e.render(),i(!0)}));n=a,t.setActiveViewId(o.id),t.incrementMTime(),BA.updateRenderWindow(e,o,t),t.freeOldArrays(r,t)})):Promise.resolve(!1)},setSynchronizedViewId:i,getSynchronizedViewId:s,updateGarbageCollectorThreshold:function(e){r=e},getManagedInstanceIds:a,clearOneTimeUpdaters:function(){BA.clearOneTimeUpdaters(a())}}}const zA={synchronizerContextName:&quot;default&quot;,synchronizerContext:null,synchronizedViewId:null};function WA(e,t,n={}){Object.assign(t,zA,n),Eh.extend(e,t),Bt(e,t,[&quot;synchronizerContext&quot;]),function(e,t){t.classHierarchy.push(&quot;vtkSynchronizableRenderWindow&quot;),t.synchronizerContext||(t.synchronizerContext=_A(t.synchronizerContextName));const n=KA(e,t.synchronizerContext);Object.keys(n).forEach((t=&gt;{e[t]?e[t]=qt(e[t],n[t]):e[t]=n[t]}))}(e,t)}var HA={newInstance:Xt(WA,&quot;vtkSynchronizableRenderWindow&quot;),extend:WA,getSynchronizerContext:_A,setSynchronizerContext:function(e,t){FA[e]=t},clearSynchronizerContext:function(e){if(e&amp;&amp;FA[e]&amp;&amp;delete FA[e],!e){const e=Object.keys(FA);for(let t=0;t&lt;e.length;t++)delete FA[e[t]]}},decorate:function(e,t=&quot;default&quot;){const n=KA(e,_A(t));return{...n,...e,delete:qt(e.delete,n.delete)}},createInstanceMap:kA,createArrayHandler:NA,createProgressHandler:GA,createSceneMtimeHandler:UA,vtkObjectManager:BA};const{vtkErrorMacro:jA,vtkDebugMacro:XA}=sn;let qA=0;function YA(e){const t=document.querySelector(`.webResource[data-url=&quot;${e}&quot;]`);return t?t.innerHTML:null}function JA(e){return&quot;/&quot;===e[0]?e.substr(1):e}const ZA={fetchJSON:function(e,t,n={}){return new Promise(((e,n)=&gt;{const r=YA(JA(t));null===r?n(new Error(`No such JSON ${t}`)):e(JSON.parse(r))}))},fetchText:function(e,t,n={}){return new Promise(((e,n)=&gt;{const r=YA(t);null===r?n(new Error(`No such text ${t}`)):e(r)}))},fetchArray:function(e,t,n,r={}){return new Promise(((o,a)=&gt;{const i=JA([t,n.ref.basepath,r.compression?`${n.ref.id}.gz`:n.ref.id].join(&quot;/&quot;)),s=YA(i);if(null===s)a(new Error(`No such array ${i}`));else{if(&quot;string&quot;===n.dataType){let e=atob(s);r.compression&amp;&amp;(e=Jm(Xm(e))),n.values=JSON.parse(e)}else{const e=new Uint8Array(um.toArrayBuffer(s));n.buffer=new ArrayBuffer(e.length);new Uint8Array(n.buffer).set(e),r.compression&amp;&amp;(&quot;string&quot;===n.dataType||&quot;JSON&quot;===n.dataType?n.buffer=Jm(Xm(new Uint8Array(n.buffer))):n.buffer=Xm(new Uint8Array(n.buffer)).buffer),&quot;JSON&quot;===n.ref.encode?n.values=JSON.parse(n.buffer):(nh.ENDIANNESS!==n.ref.encode&amp;&amp;nh.ENDIANNESS&amp;&amp;(XA(`Swap bytes of ${n.name}`),nh.swapBytes(n.buffer,gs[n.dataType])),n.values=sn.newTypedArray(n.dataType,n.buffer)),n.values.length!==n.size&amp;&amp;jA(`Error in FetchArray: ${n.name} does not have the proper array size. Got ${n.values.length}, instead of ${n.size}`)}delete n.ref,0==--qA&amp;&amp;e?.invokeBusy&amp;&amp;e.invokeBusy(!1),e?.modified&amp;&amp;e.modified(),o(n)}}))},fetchImage:function(e,t,n={}){return new Promise(((e,n)=&gt;{const r=function(e){return document.querySelector(`.webResource[data-url=&quot;${e}&quot;]`)}(t);r?e(r):n(new Error(`No such image ${t}`))}))}};pm(&quot;html&quot;,(e=&gt;ZA));const{vtkErrorMacro:QA,vtkDebugMacro:$A}=sn;function eC(e){return function(e){return&quot;/&quot;===e[0]?e.substr(1):e}(function(e){return new URL(e,&quot;http://any&quot;).pathname}(e))}function tC(e){return new Promise(((t,n)=&gt;{&quot;string&quot;==typeof e?t(function(e,t){if(t){for(var n=new gm(e.length),r=0;r&lt;e.length;++r)n[r]=e.charCodeAt(r);return n}if(qm)return qm.encode(e);var o=e.length,a=new gm(e.length+(e.length&gt;&gt;1)),i=0,s=function(e){a[i++]=e};for(r=0;r&lt;o;++r){if(i+5&gt;a.length){var l=new gm(i+8+(o-r&lt;&lt;1));l.set(a),a=l}var c=e.charCodeAt(r);c&lt;128||t?s(c):c&lt;2048?(s(192|c&gt;&gt;6),s(128|63&amp;c)):c&gt;55295&amp;&amp;c&lt;57344?(s(240|(c=65536+(1047552&amp;c)|1023&amp;e.charCodeAt(++r))&gt;&gt;18),s(128|c&gt;&gt;12&amp;63),s(128|c&gt;&gt;6&amp;63),s(128|63&amp;c)):(s(224|c&gt;&gt;12),s(128|c&gt;&gt;6&amp;63),s(128|63&amp;c))}return Fm(a,0,i)}(e)):e instanceof Blob?t(e.arrayBuffer().then((e=&gt;new Uint8Array(e)))):e instanceof ArrayBuffer?t(new Uint8Array(e)):e?.buffer instanceof ArrayBuffer?t(new Uint8Array(e.buffer)):n(new Error(&quot;Invalid datatype to unpack.&quot;))}))}const nC={create:function(e){let t=!1,n=0,r=null,o=&quot;&quot;;return tC(e.zipContent).then((n=&gt;{r=eh(n),t=!0;const a=[];Object.keys(r).forEach((e=&gt;{e.endsWith(&quot;index.json&quot;)&amp;&amp;a.push(e)})),a.sort(((e,t)=&gt;e.length-t.length)),o=a[0].replace(/index\\.json$/,&quot;&quot;),e.callback&amp;&amp;e.callback(r)})),{fetchArray:(e,a,i,s={})=&gt;new Promise(((l,c)=&gt;{t||QA(&quot;ERROR!!! zip not ready...&quot;);const u=eC([a,i.ref.basepath,s.compression?`${i.ref.id}.gz`:i.ref.id].join(&quot;/&quot;));function d(){delete i.ref,0==--n&amp;&amp;e?.invokeBusy&amp;&amp;e.invokeBusy(!1),e?.modified&amp;&amp;e.modified(),l(i)}1==++n&amp;&amp;e?.invokeBusy&amp;&amp;e.invokeBusy(!0);const p=r[`${o}${u}`];if(&quot;string&quot;!==i.dataType||s.compression){const e=function(e,t,n){return r=&gt;{e.buffer=new ArrayBuffer(r.length),new Uint8Array(e.buffer).set(r),t&amp;&amp;(&quot;string&quot;===e.dataType||&quot;JSON&quot;===e.dataType?e.buffer=Jm(Xm(new Uint8Array(e.buffer))):e.buffer=Xm(new Uint8Array(e.buffer)).buffer),&quot;JSON&quot;===e.ref.encode?e.values=JSON.parse(e.buffer):(nh.ENDIANNESS!==e.ref.encode&amp;&amp;nh.ENDIANNESS&amp;&amp;($A(`Swap bytes of ${e.name}`),nh.swapBytes(e.buffer,gs[e.dataType])),e.values=sn.newTypedArray(e.dataType,e.buffer)),e.values.length!==e.size&amp;&amp;QA(`Error in FetchArray: ${e.name} does not have the proper array size. Got ${e.values.length}, instead of ${e.size}`),n()}}(i,s.compression,d);e(p)}else{const e=function(e,t,n){return r=&gt;{e.values=t?JSON.parse(Jm(Xm(r))):JSON.parse(r),n()}}(i,s.compression,d);e(Jm(p))}})),fetchJSON(e,n,a={}){const i=eC(n);t||QA(&quot;ERROR!!! zip not ready...&quot;);const s=r[`${o}${i}`];if(a.compression){if(&quot;gz&quot;===a.compression){const e=Jm(Xm(s));return Promise.resolve(JSON.parse(e))}return Promise.reject(new Error(&quot;Invalid compression&quot;))}return Promise.resolve(JSON.parse(Jm(s)))},fetchText(e,n,a={}){const i=eC(n);t||QA(&quot;ERROR!!! zip not ready...&quot;);const s=r[`${o}${i}`];return a.compression?&quot;gz&quot;===a.compression?Promise.resolve(Jm(eh(s))):Promise.reject(new Error(&quot;Invalid compression&quot;)):Promise.resolve(Jm(s))},fetchImage(e,n,a={}){const i=eC(n);t||QA(&quot;ERROR!!! zip not ready...&quot;);const s=r[`${o}${i}`];return new Promise(((e,t)=&gt;{const n=new Image;n.onload=()=&gt;e(n),n.onerror=t;const r=cm(s.buffer);n.src=`data:image/${function(e){const t=e.split(&quot;.&quot;).pop().toLowerCase();return&quot;jpg&quot;===t?&quot;jpeg&quot;:t}(i)};base64,${r}`}))},fetchBinary(e,n,a={}){const i=eC(n);t||QA(&quot;ERROR!!! zip not ready...&quot;);const s=r[`${o}${i}`];return a.compression?&quot;gz&quot;===a.compression?Promise.resolve(Xm(s).buffer):Promise.reject(new Error(&quot;Invalid compression&quot;)):Promise.resolve(s.buffer)}}}};pm(&quot;zip&quot;,(e=&gt;nC.create(e)));var rC=&quot;viewer-module_fullScreen__1ikg5&quot;,oC=&quot;viewer-module_bigFileDrop__2WNUb&quot;,aC=&quot;viewer-module_progress__3thF3&quot;;!function(e,t){void 0===t&amp;&amp;(t={});var n=t.insertAt;if(e&amp;&amp;&quot;undefined&quot;!=typeof document){var r=document.head||document.getElementsByTagName(&quot;head&quot;)[0],o=document.createElement(&quot;style&quot;);o.type=&quot;text/css&quot;,&quot;top&quot;===n&amp;&amp;r.firstChild?r.insertBefore(o,r.firstChild):r.appendChild(o),o.styleSheet?o.styleSheet.cssText=e:o.appendChild(document.createTextNode(e))}}(&quot;.viewer-module_fullScreen__1ikg5 {\\n  position: absolute;\\n  width: 100vw;\\n  height: 100vh;\\n  top: 0;\\n  left: 0;\\n  overflow: hidden;\\n  background: black;\\n  margin: 0;\\n  padding: 0;\\n  z-index: 0;\\n  display: flex;\\n  align-items: center;\\n  justify-content: center;\\n}\\n\\n.viewer-module_fullParentSize__1f1wn {\\n  position: absolute;\\n  width: 100%;\\n  height: 100%;\\n  top: 0;\\n  left: 0;\\n  overflow: hidden;\\n}\\n\\n.viewer-module_bigFileDrop__2WNUb {\\n  position: absolute;\\n  left: 50%;\\n  top: 50%;\\n  transform: translate(-50%, -50%);\\n  background-color: white;\\n  background-image: url(&#x27;data:image/jpeg;base64,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&#x27;);\\n  background-repeat: no-repeat;\\n  background-position: center;\\n  background-size: contain;\\n  border-radius: 10px;\\n  width: 50px;\\n  padding: calc(50vh - 2em) calc(50vw - 25px - 2em);\\n  cursor: pointer;\\n}\\n\\n.viewer-module_progress__3thF3 {\\n  flex: none;\\n  font-size: 50px;\\n  color: black;\\n  z-index: 1;\\n  background: rgba(128, 128, 128, 0.5);\\n  padding: 20px;\\n  border-radius: 10px;\\n  -webkit-user-select: none;\\n     -moz-user-select: none;\\n          user-select: none;\\n}\\n\\nbody {\\n  margin: 0;\\n}\\n\\nhtml {\\n  overflow: hidden;\\n}\\n&quot;);let iC=!0;function sC(e){e.preventDefault(),e.stopPropagation()}function lC(e,t){iC=!1,function(e){for(;e.firstChild;)e.removeChild(e.firstChild)}(e);const n=Vy.newInstance({background:[1,1,1],rootContainer:e,containerStyle:{height:&quot;100%&quot;,width:&quot;100%&quot;,position:&quot;absolute&quot;}}).getRenderWindow(),r=HA.getSynchronizerContext(),o=HA.decorate(n);function a(e){r.setFetchArrayFunction((t=&gt;Promise.resolve(e.hashes[t].content))),console.log(Object.keys(e)),o.synchronize(e.scene),o.render()}if(global.renderWindow=n,t.fileURL||t.url){const n=document.createElement(&quot;div&quot;);n.setAttribute(&quot;class&quot;,aC),e.appendChild(n);const r=e=&gt;{if(e.lengthComputable){const t=Math.floor(100*e.loaded/e.total);n.innerHTML=`Loading ${t}%`}else n.innerHTML=sn.formatBytesToProperUnit(e.loaded)};t.fileURL?sh.fetchBinary(t.fileURL,{progressCallback:r}).then((t=&gt;{e.removeChild(n);const r=fm.get(&quot;zip&quot;,{zipContent:t,callback:e=&gt;{r.fetchJSON(null,&quot;index.json&quot;).then(a)}})})):sh.fetchJSON(t.url,{progressCallback:r}).then((t=&gt;{e.removeChild(n),a(t)}))}else if(t.file){const e=fm.get(&quot;zip&quot;,{zipContent:t.file,callback:t=&gt;{e.fetchJSON(null,&quot;index.json&quot;).then(a)}})}else if(t.base64Str){const e=um.toArrayBuffer(t.base64Str),n=fm.get(&quot;zip&quot;,{zipContent:e,callback:e=&gt;{n.fetchJSON(null,&quot;index.json&quot;).then(a)}})}}function cC(e){iC=!1;const t=document.querySelector(&quot;.content&quot;)||document.querySelector(&quot;#vtk-root&quot;),n=document.querySelector(&quot;body&quot;),r=e||t||n;r!==e?(r.classList.add(rC),n.style.margin=&quot;0&quot;,n.style.padding=&quot;0&quot;):(n.style.margin=&quot;0&quot;,n.style.padding=&quot;0&quot;);const o=document.createElement(&quot;div&quot;);o.innerHTML=`&lt;div class=&quot;${oC}&quot;/&gt;&lt;input type=&quot;file&quot; accept=&quot;.zip,.vtksz&quot; style=&quot;display: none;&quot;/&gt;`,r.appendChild(o);const a=o.querySelector(&quot;input&quot;);function i(e){sC(e);const t=e.dataTransfer,n=e.target.files||t.files;if(1===n.length){r.removeChild(o);const e=n[0].name.split(&quot;.&quot;).slice(-1)[0];lC(r,{file:n[0],ext:e})}}a.addEventListener(&quot;change&quot;,i),o.addEventListener(&quot;drop&quot;,i),o.addEventListener(&quot;click&quot;,(e=&gt;a.click())),o.addEventListener(&quot;dragover&quot;,sC)}const uC=gv.extractURLParameters();if(uC.url||uC.fileURL){const e=document.querySelector(&quot;.content&quot;)||document.querySelector(&quot;#vtk-root&quot;),t=document.querySelector(&quot;body&quot;),n=e||t;n&amp;&amp;(n.classList.add(rC),t.style.margin=&quot;0&quot;,t.style.padding=&quot;0&quot;),iC=!1,function(e){if(!window.frameElement)return e(),!0;const t=window.frameElement.getClientRects().length&gt;0;t?e():function(e,t){new window.parent.IntersectionObserver(((e,n)=&gt;{e.forEach((e=&gt;{e.intersectionRatio&gt;0&amp;&amp;(t(),n.disconnect())}))})).observe(e)}(window.frameElement,e)}((()=&gt;lC(n,uC)))}return setTimeout((()=&gt;{iC&amp;&amp;cC()}),100),window.OfflineLocalView={initLocalFileLoader:cC,load:lC},e.initLocalFileLoader=cC,e.load=lC,Object.defineProperty(e,&quot;__esModule&quot;,{value:!0}),e}({});\n",
       "&lt;/script&gt;\n",
       "&lt;script&gt;\n",
       "var container = document.querySelector(&#x27;#vtk-root&#x27;);\n",
       "var base64Str = &quot;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&quot;;\n",
       "\n",
       "OfflineLocalView.load(container, { base64Str });\n",
       "&lt;/script&gt;\n",
       "  &lt;/body&gt;\n",
       "&lt;/html&gt;\n",
       "\" loading=\"lazy\" style=\"width:100%;height:500px;border:1px solid #ccc;border-radius:8px;\"></iframe></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  FE spaces: ND dofs = 29338, H1 dofs = 11859, total = 41197\n",
      "  Essential DOFs: ND = 234, H1 = 235, total = 469\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Solving eigenvalue problem (omega = 16, sigma = -1126.4, size = 41197)...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Found 8 modes:\n",
      "    Mode 1: kn = +3.19729249e+01 -0.00000000e+00j <-- selected\n",
      "    Mode 2: kn = +3.19611499e+01 -0.00000000e+00j\n",
      "    Mode 3: kn = +3.19568982e+01 -0.00000000e+00j\n",
      "    Mode 4: kn = +3.19474805e+01 -0.00000000e+00j\n",
      "    Mode 5: kn = +3.19262270e+01 -0.00000000e+00j\n",
      "    Mode 6: kn = +3.19115007e+01 -0.00000000e+00j\n",
      "    Mode 7: kn = +3.18770498e+01 -0.00000000e+00j\n",
      "    Mode 8: kn = +3.18537901e+01 -0.00000000e+00j\n",
      "Computed differential microstrip modes:\n",
      "  Mode  1: kn=+31.972925 -0.000000j\n",
      "  Mode  2: kn=+31.961150 -0.000000j\n",
      "  Mode  3: kn=+31.956898 -0.000000j\n",
      "  Mode  4: kn=+31.947481 -0.000000j\n",
      "  Mode  5: kn=+31.926227 -0.000000j\n",
      "  Mode  6: kn=+31.911501 -0.000000j\n",
      "  Mode  7: kn=+31.877050 -0.000000j\n",
      "  Mode  8: kn=+31.853790 -0.000000j\n"
     ]
    }
   ],
   "source": [
    "mesh_file = make_differential_microstrip_mesh(\n",
    "    box_w=8.0,\n",
    "    h_sub=1.0,\n",
    "    h_air=3.0,\n",
    "    strip_w=0.8,\n",
    "    strip_gap=0.5,\n",
    "    strip_t=0.06,\n",
    ")\n",
    "view_mesh(mesh_file)\n",
    "\n",
    "mu_inv = {1: 1.0 / mu_r, 2: 1.0 / mu_r}\n",
    "eps = {1: eps_sub, 2: eps_air}\n",
    "\n",
    "# Ground and both strips are PEC; top/sides remain non-PEC.\n",
    "pec_bdr = [1, 2, 3]\n",
    "\n",
    "solver = WaveguideModeSolver(mesh_file, order=2, mu_inv=mu_inv, eps=eps, pec_bdr=pec_bdr)\n",
    "results = solver.solve(omega, num_modes=8, mode_idx=1)\n",
    "\n",
    "print(\"Computed differential microstrip modes:\")\n",
    "for i, kn in enumerate(results[\"kn\"], start=1):\n",
    "    print(f\"  Mode {i:2d}: kn={kn.real:+10.6f}{kn.imag:+10.6f}j\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "efdc675a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-27T20:00:09.620029Z",
     "iopub.status.busy": "2026-05-27T20:00:09.619618Z",
     "iopub.status.idle": "2026-05-27T20:00:09.858726Z",
     "shell.execute_reply": "2026-05-27T20:00:09.858188Z"
    },
    "papermill": {
     "duration": 0.257884,
     "end_time": "2026-05-27T20:00:09.860195+00:00",
     "exception": false,
     "start_time": "2026-05-27T20:00:09.602311+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "view_fe_mesh_2d(\n",
    "    mesh_file=mesh_file,\n",
    "    eps=eps,\n",
    "    title=\"Differential Microstrip FE Mesh and Materials\",\n",
    "    show_edges=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c2433917",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-27T20:00:09.892208Z",
     "iopub.status.busy": "2026-05-27T20:00:09.892028Z",
     "iopub.status.idle": "2026-05-27T20:00:11.653062Z",
     "shell.execute_reply": "2026-05-27T20:00:11.652487Z"
    },
    "papermill": {
     "duration": 1.778038,
     "end_time": "2026-05-27T20:00:11.653554+00:00",
     "exception": false,
     "start_time": "2026-05-27T20:00:09.875516+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n",
      "MFEM Warning: 16 points were not found\n",
      " ... in function: virtual int mfem::Mesh::FindPoints(mfem::DenseMatrix&, mfem::Array<int>&, mfem::Array<mfem::IntegrationPoint>&, bool, mfem::InverseElementTransformation*)\n",
      " ... in file: /__w/PyMFEM/PyMFEM/PyMFEM/external/mfem/mesh/mesh.cpp:13515\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "MFEM Warning: 16 points were not found\n",
      " ... in function: virtual int mfem::Mesh::FindPoints(mfem::DenseMatrix&, mfem::Array<int>&, mfem::Array<mfem::IntegrationPoint>&, bool, mfem::InverseElementTransformation*)\n",
      " ... in file: /__w/PyMFEM/PyMFEM/PyMFEM/external/mfem/mesh/mesh.cpp:13515\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "MFEM Warning: 16 points were not found\n",
      " ... in function: virtual int mfem::Mesh::FindPoints(mfem::DenseMatrix&, mfem::Array<int>&, mfem::Array<mfem::IntegrationPoint>&, bool, mfem::InverseElementTransformation*)\n",
      " ... in file: /__w/PyMFEM/PyMFEM/PyMFEM/external/mfem/mesh/mesh.cpp:13515\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x800 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "view_fields_2d(\n",
    "    solver=solver,\n",
    "    results=results,\n",
    "    mesh_file=mesh_file,\n",
    "    eps=eps,\n",
    "    pec_bdr=pec_bdr,\n",
    "    include_streamplot=True,\n",
    "    streamplot_density=1.2,\n",
    "    streamplot_show_arrows=True,\n",
    "    streamplot_normalize=True,\n",
    "    streamplot_seed_from_field=True,\n",
    "    streamplot_seed_frac=0.1,\n",
    "    streamplot_seed_stride=2,\n",
    "    streamplot_mask_weak=True,\n",
    "    streamplot_min_frac=0.1,\n",
    "    num_modes=3,\n",
    "    nx=80,\n",
    "    ny=60,\n",
    "    cmap=\"hot\",\n",
    "    title=\"Differential Microstrip First Modes (Boxed Cross-Section)\",\n",
    ")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.3"
  },
  "papermill": {
   "default_parameters": {},
   "duration": 18.269289,
   "end_time": "2026-05-27T20:00:12.390692+00:00",
   "environment_variables": {},
   "exception": null,
   "input_path": "docs/examples/differential_microstrip_modes.ipynb",
   "output_path": "docs/examples/differential_microstrip_modes.ipynb",
   "parameters": {},
   "start_time": "2026-05-27T19:59:54.121403+00:00",
   "version": "2.7.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}