{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "b819d6fb",
   "metadata": {
    "papermill": {
     "duration": 0.001437,
     "end_time": "2026-05-27T20:01:46.853062+00:00",
     "exception": false,
     "start_time": "2026-05-27T20:01:46.851625+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Slotline Modes\n",
    "\n",
    "This notebook builds a boxed slotline cross-section (substrate + air + two PEC slot conductors), solves eigenmodes with `WaveguideModeSolver`, and plots mode fields."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "760fab3d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-27T20:01:46.859299Z",
     "iopub.status.busy": "2026-05-27T20:01:46.859095Z",
     "iopub.status.idle": "2026-05-27T20:01:47.586515Z",
     "shell.execute_reply": "2026-05-27T20:01:47.586059Z"
    },
    "papermill": {
     "duration": 0.730367,
     "end_time": "2026-05-27T20:01:47.587503+00:00",
     "exception": false,
     "start_time": "2026-05-27T20:01:46.857136+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": "c5217c2e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-27T20:01:47.593562Z",
     "iopub.status.busy": "2026-05-27T20:01:47.593329Z",
     "iopub.status.idle": "2026-05-27T20:01:47.601301Z",
     "shell.execute_reply": "2026-05-27T20:01:47.600733Z"
    },
    "papermill": {
     "duration": 0.012893,
     "end_time": "2026-05-27T20:01:47.601657+00:00",
     "exception": false,
     "start_time": "2026-05-27T20:01:47.588764+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def make_slotline_mesh(\n",
    "    box_w=8.0,\n",
    "    h_sub=1.0,\n",
    "    h_air=3.0,\n",
    "    slot_gap=0.5,\n",
    "    metal_t=0.06,\n",
    "    lc_bulk=0.18,\n",
    "    lc_slot=0.04,\n",
    "    filename=None,\n",
    "):\n",
    "    gmsh.initialize()\n",
    "    gmsh.option.setNumber(\"General.Verbosity\", 0)\n",
    "    gmsh.model.add(\"slotline_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",
    "    left_w = (box_w - slot_gap) / 2\n",
    "    right_w = left_w\n",
    "    left_metal = gmsh.model.occ.addRectangle(-box_w / 2, 0.0, 0, left_w, metal_t)\n",
    "    right_metal = gmsh.model.occ.addRectangle(slot_gap / 2, 0.0, 0, right_w, metal_t)\n",
    "\n",
    "    _, outmap = gmsh.model.occ.fragment([(2, sub), (2, air), (2, left_metal), (2, right_metal)], [])\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",
    "    left_slot_pec = []\n",
    "    right_slot_pec = []\n",
    "    open_edges = []\n",
    "\n",
    "    for et in edge_tags:\n",
    "        ex, ey, _ = gmsh.model.occ.getCenterOfMass(1, et)\n",
    "        on_metal_y = (-1e-6 <= ey <= metal_t + 1e-6)\n",
    "        if on_metal_y and ex < -slot_gap / 2 + 1e-6:\n",
    "            left_slot_pec.append(et)\n",
    "        elif on_metal_y and ex > slot_gap / 2 - 1e-6:\n",
    "            right_slot_pec.append(et)\n",
    "        else:\n",
    "            open_edges.append(et)\n",
    "\n",
    "    if left_slot_pec:\n",
    "        gmsh.model.addPhysicalGroup(1, left_slot_pec, tag=1, name=\"slot_pec_left\")\n",
    "    if right_slot_pec:\n",
    "        gmsh.model.addPhysicalGroup(1, right_slot_pec, tag=2, name=\"slot_pec_right\")\n",
    "    if open_edges:\n",
    "        gmsh.model.addPhysicalGroup(1, open_edges, tag=3, name=\"open_boundary\")\n",
    "\n",
    "    for _, ptag in gmsh.model.getEntities(0):\n",
    "        x, y, _ = gmsh.model.getValue(0, ptag, [])\n",
    "        near_slot = abs(x) <= (slot_gap + 1.0) and -0.2 <= y <= (metal_t + 0.4)\n",
    "        gmsh.model.mesh.setSize([(0, ptag)], lc_slot if near_slot else lc_bulk)\n",
    "\n",
    "    gmsh.model.mesh.generate(2)\n",
    "    return write_and_finalize_gmsh(filename, prefix=\"wg_slotline_\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fb5efc7b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-27T20:01:47.604246Z",
     "iopub.status.busy": "2026-05-27T20:01:47.604121Z",
     "iopub.status.idle": "2026-05-27T20:01:47.606270Z",
     "shell.execute_reply": "2026-05-27T20:01:47.605815Z"
    },
    "papermill": {
     "duration": 0.003892,
     "end_time": "2026-05-27T20:01:47.606600+00:00",
     "exception": false,
     "start_time": "2026-05-27T20:01:47.602708+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "eps_sub = 4.1\n",
    "eps_air = 1.0\n",
    "mu_r = 1.0\n",
    "omega = 1.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3f988b03",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-27T20:01:47.609117Z",
     "iopub.status.busy": "2026-05-27T20:01:47.608965Z",
     "iopub.status.idle": "2026-05-27T20:02:06.388461Z",
     "shell.execute_reply": "2026-05-27T20:02:06.388053Z"
    },
    "papermill": {
     "duration": 18.781978,
     "end_time": "2026-05-27T20:02:06.389494+00:00",
     "exception": false,
     "start_time": "2026-05-27T20:01:47.607516+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading mesh file: /tmp/wg_slotline_r1vf2qxf.msh\n",
      "Groups to render transparent: ['air_none', 'air_plastic_enclosure']\n",
      "\n",
      "Mesh loaded successfully with 2 cell blocks\n",
      "Found 5224 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,/9j/4AAQSkZJRgABAQAASABIAAD/4QBMRXhpZgAATU0AKgAAAAgAAYdpAAQAAAABAAAAGgAAAAAAA6ABAAMAAAABAAEAAKACAAQAAAABAAACWKADAAQAAAABAAACWAAAAAD/7QA4UGhvdG9zaG9wIDMuMAA4QklNBAQAAAAAAAA4QklNBCUAAAAAABDUHYzZjwCyBOmACZjs+EJ+/8AAEQgCWAJYAwEiAAIRAQMRAf/EAB8AAAEFAQEBAQEBAAAAAAAAAAABAgMEBQYHCAkKC//EALUQAAIBAwMCBAMFBQQEAAABfQECAwAEEQUSITFBBhNRYQcicRQygZGhCCNCscEVUtHwJDNicoIJChYXGBkaJSYnKCkqNDU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6g4SFhoeIiYqSk5SVlpeYmZqio6Slpqeoqaqys7S1tre4ubrCw8TFxsfIycrS09TV1tfY2drh4uPk5ebn6Onq8fLz9PX29/j5+v/EAB8BAAMBAQEBAQEBAQEAAAAAAAABAgMEBQYHCAkKC//EALURAAIBAgQEAwQHBQQEAAECdwABAgMRBAUhMQYSQVEHYXETIjKBCBRCkaGxwQkjM1LwFWJy0QoWJDThJfEXGBkaJicoKSo1Njc4OTpDREVGR0hJSlNUVVZXWFlaY2RlZmdoaWpzdHV2d3h5eoKDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uLj5OXm5+jp6vLz9PX29/j5+v/bAEMAAQEBAQEBAgEBAgMCAgIDBAMDAwMEBQQEBAQEBQYFBQUFBQUGBgYGBgYGBgcHBwcHBwgICAgICQkJCQkJCQkJCf/bAEMBAQEBAgICBAICBAkGBQYJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCf/dAAQAJv/aAAwDAQACEQMRAD8A/v4ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAP/Q/v4ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAP/R/v4ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAP/S/v4ooooAKKKKACiiigAooooAKKKKACiivwu/a8/bS+PfhT46634E8Aax/Y2l6PIlukcUELvIwjVnd3lR2yWY4AIAGOM5JAP3Ror+fZ/jD/wUtto/tMlv4lCDncdFBGPU/wCi4xVvwH/wUc/aK8A+Il074qwxa3bxuFuYLi3WzukHfY0SoFbH9+Ns+3WgD9/qK4L4Y/Erwl8XfBNj4+8E3H2iwvk3Lnh43HDxyLztdDww/EEggnvaACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAa7pGhkkIVVGSTwABXiF1+01+zvZztbXHjfRA6HBAvoWwfqGIrG/a3vbrT/2afGtxZuY3OlzJkddsgCMPxUkV+Av7KP7PVt+0p8RbzwJdaq2kLa6dJfeckInLGOWKPZtLpjPm5znt05oA/oL/AOGpP2cf+h40X/wMi/8Aiq6Twr8dPgx441dNA8H+KtK1K+kBKW9vdRPK4UZO1A25sAZOAcDmvzX/AOHTWj/9DxN/4L1/+SK9T+C//BN/w18JfiVpfxGuvFFzqb6TL58UC2y24aQAhdziVyVBOSABnoTgmgD9KqKx9S8Q6Bo11bWOr31vazXjbLeOaVEaVv7qKxBY+wzWxQAUVjjxF4fOtHw2L63OohPMNr5qecE/veXndj3xik1zxH4e8L2Q1LxLf2+nW5YIJbmVIULN0Xc5AyewoA2aKo3eqaZp9g2q39xFBaou9ppHVYwp7liQMe+ay9B8YeEvFQc+F9UtNSEf3/ss8c2367GbFAHRV5Z4b+N3wl8YeM7z4e+GdftL3WrDf59pG+XXyzhwOMMUPDbSdvfFep1/Nd+wxcTt+2L4amLktJNf7jnk7rO4zn60Af0o0UVyWv8Aj/wJ4UnFr4p1uw02VhkJdXMULEH0DsDQB1tFZuk6zo+vWS6lod3De27/AHZYJFkQ/RlJFaVABRWDo/irwx4hW4fQNStb5bRik5t5klETDqr7Cdp46Hmqug+OPBXim4ltPDGsWWoywf6xLW4jmZO3zBGJH40AdRRRXAXXxX+FthqB0i+8S6VDdg7TC95AsgI7bC+7P4UAd/RUcUsU8SzwMHRwGVlOQQeQQR1BqSgAooooAKKKKACiiigAooooAKKKKAP/0/7+KKKKACiiigAooooAKKKKACiiigAr+Xz9s7/k6Hxn/wBf3/tNK/qDr+Xz9s7/AJOh8Z/9f3/tNKAP6e7T/j1i/wBxf5V+eP8AwUg+Dnh7xd8E7j4nRW8aaz4ceJxOow8ltLIsTxMR94AuHGfu7TjG45/Q60/49Yv9xf5V8p/tz6xZ6N+yv4tlvCB58ENvGD1Z5Z41AHuM5+gJ7UAfCP8AwSl8fX66z4o+F9xIz2zwR6pAhPyo6MIZiPdw8ef90V1v7Un7cfxQ+D37Sv8Awgfhz7MmhaP9k+2QvEHe4E0aTSfOfmTCOAu3GCMnPSvEf+CVmmTTfGvX9YXPl2+iPCxHTdLcwMM/hGa8Q/4KC/8AJ2vin/dsP/SGCgD27x3/AMFD/wBo7xB4jvfFHwvslsfC9pKUiVrLzwUU8G4mIO12HJCsoUcDONx/QPRv2ytP0L9l/TPj58WtMewvdQZ4IbC34N1MrMqtCJDlY2ClyWJ2r0LfLu+n/hP4K0z4d/DPQvBGkxLDDp1lDDtUYBcKDI593cszHuSTX4rf8FSvE2pX/wAbNI8KO7Cy03SUljjydvm3EsnmOB05VEH/AAGgDYt/21f22fjPqV3ffBnQ/LsbZjmOwsDdiMdVWSaVXBcj0C57KK7j4R/8FIfHvhfxcfBH7TOkeSqSCKW5iga2urVz3nt2OGUZBO0IwHOG6V+jf7K/g7SfA/7PPhHR9JjRBNplvdzMmMPNcxrNI5P8WWY4PoAOgFfnX/wVb8F6LA3hT4gW0Sx39wbixnccNJGgWSLPrsJfn/ax6UAfqp8RPGy+EPhbrnxF0kR3g0zSrnUYcHMcvkwNKnzKeVbA5B6Gvx/+En/BTTxvpeha83xXt49a1DEbaRFbxCDdK7ENHIyAjy1GGBwX4xznK/QnwJ8Uan4n/wCCbOvDVXaV9O0PW7JHYkkxRRTGMZPZEYIPQKB2r4V/4Ju+CdE8YftIR3etxLMNE06fUYEfkecrxQo2D1K+aWHoQD1AoA9P8Xftjft6eEIk8c+KdBOj6PM42pcaU8dsNx+VS8n7wZ7ZkBPav0Q/ZI/a40P9pbRbmxvbZdM8RaaqvdWqtujkjY4E0JPzbM4DA5KEgEnINfUni/wpoXjrwvf+D/E0C3NhqMLwTRuMgqwxn2IPII5BAI5Ffzp/sK6pqXhP9rbQNOtJNy3El3YziPlZEMMn5qHVX/CgD+k+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD5r/AGw/+TYvGn/YOf8A9CWv5/v2ZP2hL39mzx9deO7DS01Z7qwksTDJKYQBJLFJv3BW5HlYxjvX9AP7Yf8AybF40/7Bz/8AoS1+Qn/BM3w94f8AE3x51Sw8R2NvqEC6DcSLHcxJKgcXNqAwVwRkAkZ64JoA9k/4ex+I/wDoSrb/AMDn/wDjNfUn7KX7c037R3ju58A6j4aOlTxWj3a3EM5nj2xsilXBjQrnfw2SCeMc19jf8Kl+FX/Qs6T/AOAUH/xFdJofhbwz4YjeLw3p1rp6yHLi2hSIMR3IQDP40AflX/wU4+BfiXXINO+PHhxpJ4dIt1sr+BSSYYhIzx3CD03OVkx0+U9AxGV8KP8Ago1ZaP8As53w8cP9r8aaMi2tmkmT9u3giKZyP+eeP32SC2AQdz4H6afGn4heC/hf8MdX8YfEAJLpkFuySW7gN9pMg2LAFPDGUnbg8YJJ4BNfynXlldap9v8AEel6e8GnRTjd5Yd4rfzixijMhz2Uhdxy209eaAP0e/YJ+FXj/wCM/wAdJf2h/Ft3O1rpNzJPNdsSHu72VCPKU/3VV8uBwF2pjDcetf8ABWi7uVg8B2KuRC7anIyZ4LKLUKSPUBjj6n1r66/YO+JXgLx38AdM0XwbbR6dc6Ai2l/ZoeVm5Yzc8kTnL7j/ABblydtfHv8AwVq/1ngH6ap/7aUAeP8AwI+BXxp/bQ8F6fD4w8RvpHg3wtGmnWKCNpfMkiAJ2Rb0ViqsFMrMccIoIBA8v/aD/Zz+JX7F3jHSvF3hPWpprS4Ymz1S3UwSRzJy0MihnAJHIySrrnjggfrH/wAE7L/S7z9lTQ7fT2Uy2txexXIBBIlNzJIAfQ+W6HHoRXmn/BUm+0uH4B6VYXQDXM+tQtAM8jZBPvb6YOD7sKAPp39lL43N8fvgvp3ji+VU1KNms9QRPui5hxuYDsHUrIB23Y5xmvw2/YX/AOTwfC//AF2vv/SO4r9Hv+CV9jewfBDXL6Y4gn1pxGvulvDub8cgfhX5w/sL/wDJ4Phf/rtff+kdxQB+o37f37UWtfBDwxZeB/h/cG28Q62rSG4UAtbWikqWXcCA8jfKp5wAx4O018SfAD9gDxX8fvBy/Fr4ieIpdMXWC81sDEbm4nBJHnys7rgMwJA5LDnIyM5v/BUW1v4v2hdPurkHyZdEt/JPbCzzhgPo2SfrX7K/s4XemX37P/gq40cBbf8AsSxVVBztKwIrAnuQwIPvQB+F/jnwx8cP+CfHxatpPDWsGa0v086GZFK219DG2HingYsAy55GWKhgysCcj9ota+K+n/Ev9kzWvi14Pd4EvfDmoXMXPzwzR28odMj+KORSuR3GRXw9/wAFYr3TBoHgzTWKm8NxeSKMjcIgkQYkdcFiuD7Gux/Zotb+2/4JveIpLwEJNpevvDn/AJ5+XMvHtvVqAPyY+BNj8VPGviKf4L/C66Ns/jBUtbwbikZghJlYyMuSEUAlsAkrlQDuIP6LfDj/AIJs/F34efFDQPGOn+K7FLbTrqK4uJbfzorgKjAuka7CrBxlDuYAg8gjIrw//gmBp8F5+0bd3EygtaaJdSoT2YzQR5H/AAFyPxr+gigD8T/+Cgn7UHjTUvH0n7Pnw0u5rW0tlSDUTb/LJdXE4BEAYfN5aqwBAI3MWDZAFdJ4d/4JT21z4Ljm8TeKJbbX5Yg7JDAr20MhGdhywaQA8FgVzzgV8E/HeHxAP2vPEcP2oWF83iWXyLmTIWENcZgkOAThFKNkA8DpX6Xf8Mz/APBQT/oqtv8A+BFz/wDI9AHyR+zP8afiT+yr8fT8EfHV08miNqH9m3tqzl4oJHcIlzATyoyQxxgOh5G7aR/QXX4v2/8AwT4+JmsfFWx8X/HDxzps9xeXUUkjI8j3d2YNvyJ5ixAttULkZwOcGv2goAKKKKACiiigAooooAKKKKACiiigD//U/v4ooooAKKKKACiiigAooooAKKKKACv5gP204ZIP2pPGSSjBN6rfg0SEH8Qa/p/r5++Jv7LPwD+MOvf8JR8RPDsV/qGxYzOs09u7KvC7zBJHuwOAWyQMDoBQB8dx/wDBVH4MRW6xr4f1osqgfdtgOB/12r4G/ao/bB8VftSXNh4O0DTH07RbecSQ2asZp7m4IKIz7VHIDEIig8k5LHGP14X9gH9kdWDDwl09b+/P6faK9e+Hv7O3wQ+FV2NR8A+GbKwulztudhlnXIwQsspeRQR1AbBoA8E/YP8A2dNU+A/wum1DxbH5WveInjubmLHzQRIpEMLf7a7mZ/RmK/w5P5Jf8FBVb/hrbxRx1Wwx7/6FBX9KFfO3xC/ZW+CHxR+INn8TfGmkfadVtBGNwkdI5hEcx+dGpCvt6c9RgNkACgD6EhG2FFIxhR/KvyM/4KffArWdbt9N+Onh6JrhNOgFhqKIpLRwh2kimOP4Qzsrntle2cfrxTJI45Y2ilUMrAggjIIPUEUAfk3+yf8At9fCHw98I9M8A/Fy7l0i/wBBt1tIphBLPFcQRDEW3yVdldUAUhgAcZB5wPkD9sr9oxf2rPiHovhL4XWdxcabpxeGzUx4mu7m4KhnEYyQuFVUB56k4zgfq14w/YF/Zh8Y6tJrU2hNp80zF5BYzyQRsScnEQJjX6IqivVPhH+zP8FPgfK978O9EjtbyRdj3crPPOV7gSSFigPcJtB4yKAPG4fhI/wP/YR1/wCHV06y3dr4a1WS7dehuJ4JpZAD3CltinuFBr8RP2Yvi7rnwH+J0PxTsbGW/wBOskNvqUcY/wCXa4IX73RTvCsmcAsApPNf0YftHf8AJvfjr/sX9T/9JZK/IT/gmBomj+JPHni/QvEFrFe2V3o6xzQTIHjkQzrlWVuCKAPrT4pf8FKfgrafDy7m+Gkl1qGvXULR20EkDwrBI4wJJXbCkJ1whYsQBkA7h8d/8EzfhDrHib4wP8Wp4ymmeHIpUSRhxJdXMbRBFPfbGzMxGcfL/eFfopP/AME7/wBlefWDqv8AYk6IW3G2W7nEJ5zjG/eB7BhX2B4Y8L+HfBehW3hjwpZQ6fp9mmyGCBQiIPYDuTySeSeTzQBvUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeNftD+C9Z+InwP8UeCvDqiS/wBQ0+WO3QkKHkA3KmTwNxGMnA55Ir+fL4eeBP2x/gn4ln1/4d+F/EOm6hJC1pJNFpUswaJmV2UFoZEILIpyPTrX9OVFAH8/P/C4f+CmP/Pp4n/8Ef8A9yV7B8B/ij/wUT1X4qaNp/izT9Xl0eW6hW/Gp6WtpAtsXAlbzWgjKsqZI2knPY9K/aaigD8Y/wDgoZpHx7+K3xf0X4V+FtCvrnQ4o43s2gidoJ7qbiSWSQDYvlA7fnI2LuY4DV9z/Cn9kfwB4H/Z8n+B+vwpe/2xCW1a4UYaW5YD50JGQISB5PHG0NjJOfrWigD8FfgT8LP2hv2Xv2uLLwtpWk3l/p15craXNxFC5tLnTpHGZy4BRTECJCCcq42k4Jz6v/wVq/1ngH6ap/7aV+ydfjz/AMFZ9OvJLLwLqyRsbeF9RidwPlV5BbMik+rBGI+hoA+f/hLo/wC1j+zr8PNK+MHwSjfXPD/ia2FxdWaQNcrDMjMh8yBD5g4XiVCAQdrYwM8h4h0P9rz9trx9Zr4i0q5SO3zHE0lvJaadZIxBdizg8nGTy8jYAGcAD9ov2PtKv9G/Zl8G2OpxNDN/Z6yFGBBCyu0iEg+qsD+NfSdAHkvwO+Eui/BD4X6V8ONEIkFjHmebGDNcP80sp7/MxOAc4XC54r8XP2Nfgb8VPDH7Ydi+v6JeWlv4flvmu7iWF1hUNBNEhWQgK29nXZtJyDuGQDX7+0UAfH37Yv7Ltv8AtJ+B4ItHkitPEOks0ljcSghHVx+8gkZQSFfAIODtYDsTX5efD/4tftsfsk6dN8NP+EamubCGR/IivrKe5hjZiSxt5oGUMrNzgOy5JIAJOf6BKKAP59tI+Av7VP7anxJXxn8U4J9IsQEje7vYGtoorcEny7SBgGfqxGON2S75PP7Q+L/hpZad+z7rPwl8AWoijGhXem2MII5Z7d40BJxlmY5Zj1JJNe0UUAfiP/wTM+FfxC8OfGTXfFPiXR7zTbO20qWxZ7qF4c3Ek8LiMbwMkLGxbHTjOMjP7cUUUAflP+3V+xV4m+Juvn4x/CKFbnVXjVNQsNwR5/KAVJoi2AXCAKykjIAK5bIPjng/9s/9svwBoUPgPxJ4Hn1bUbSMQQ3F5ZXi3LbRgGYLjzTjHI2lupJJJP7d0UAfin8G/wBnr9pf9oj43ab8cv2hhdaTY6XcxXUcd0pt5W+zuJI7eC24eGPcBuZgpIyQWY5r9rKKKACiiigAooooAKKKKACiiigAooooA//V/v4ooooAKKKKACiiigAooooAKKKKACiiigAoprMqKXcgKBkk8ACvjfWP2/f2VNF1KXS5fEpneBijNb2lzLHuU4O11j2sPRlJU9jQB9lUV8Rf8PEf2Uf+g/P/AOAN1/8AG69S+E/7V/wJ+NfiB/Cvw91o3WopE03kSwTQMyLjcVMqKrYzyAc45xgUAfRdFfPHxE/aq+Bfwq8dW3w58c62tnqdwqMV8uR0hEn3POdFKpu6jPQfM2FIJ9f8a+M/Dnw88KX/AI28W3AtdO02IzTykFsKOwAySScAAckkCgDqKK8O+B37Q3w0/aF0e81f4dXEr/2fIsVzDcR+VLGXBKErkgq4B2kE9COor3GgDF8SaBpvivw7f+FtaQyWepW0trOoOC0UyFHAPbKk184/s3/sk+AP2aZ9VvvCt3d6hdarsR5bsplIoySqKEVRyTlieuBjGOfqiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAorjfiD4+8MfC/wAG6h498ZXH2bTtNj8yVwNzHJCqqjuzsQqjuSK/GvxL/wAFHP2gfiR4lfQvgT4cSGMkmGKO3k1C9dR/EwTKD1IEZx03HrQB+41Ffg5J+3d+2V8J9Xtz8WtEHkSnPkalpz2TSKPveW6iPn3wwHcGv1i/Z0/aK8GftIeC28UeF1a1urVxFe2MrBpLeQglckY3I4BKPgZwRgEEAA+gaqXthY6jD9m1CGOePIbbIoZcjocHIyKt0UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAf/9b+/iiiigAooooAKKKKACiiigAooooAKKKKAOG+KEskHw08RTQsVdNMu2UjqCIXIIr+aD9lT4V+GvjT8dNG+G/i5549Pv1uTI1s6pKPJt5JV2syuB8yDPHSv6W/ir/yS/xJ/wBgu8/9EPX8tvwZ+K/iH4JfEWw+JXhW3t7q+08TCOO6V2iPnRPE24RsjcK5Iww5x9KAP22/4dgfs5f8/et/+BUP/wAj17F8E/2Kvgt8BvFp8ceD1vbnURE8Mcl7MsgjWThiipHGASOMnPBI71+Zn/D0v9oD/oBaD/34u/8A5Jr9PP2Qvjz41/aC+HVz4t8b6IukT2915EbxB1guE2K2+MSEsME4PLDpg5yAAeIftGfBT9j3xf8AHrTdU+LfiN9L8RaisAfT0nVI7pV/dxeaTGxi3BQmd6bgOOea9f8A28/l/ZL8XBeP3doOP+vyCvxz/wCChMsh/az8SZY/JHYhfb/Q4Tx+JzX7Cft1MzfsheKmY5JhsiT/ANvlvQB8W/8ABJcn7X48HbZpn87qv2M1DULDSbGbU9Vnjtra3QySyysEREUZLMzEAADqScV+OX/BJf8A4/PHn+5pn87qvK/2/wD42eLvij8a/wDhQ/heWVNL0qaKz+zo5C3V9KVJZwOCELBEBzghiPvUAfqVdftq/stWWoHTJvGVm0gONyLNJH/39SMx4992K+gfC3i7wr430ePxB4O1G21Syl4We1lWVCe43KSARnkHkd6/Pnw7/wAEw/gdbeC49J8TXV/day8Q86+hmEarKRyYotpXYD0DhiQOTX54/CLxh40/Y0/aqm8B3d40umpqKafqUQyIp7aVh5c+wnAdUdZFPUcrnBOQD+jaiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAPz9/4KW6Vreo/s0PcaQrNDZ6naz3e3nEGJI8n2Erx18Sf8E8/2k/g78GrPWfCPxHYaVdapcJNFqbRl0ZFQKIJGQFkCtllJG35myRxn9u/FkvhSPw9dReN5LWPSp0MNx9tZFgZJPlKuZCFw2cYPWvzB+KP/BLzwP4lnfXvg3rraQk/7xLS5U3NthuQI5QwkVPTd5p96APt74g+HPhL+1Z8KtR8GafqtlqtrdpuhurOWO4NtOvMco2McMp6jIJUlTwTXgX7FH7I3jP9mq/8Qar4y1W1vJNVWKGKGyMhjCRFmEkhkRDvO7AUAgDPJzx+UfxP/ZC/aR/ZyjPjd4jJaWR3HU9HndvJx/E2BHNGP9oqFHrX33+wL+2N4w+JXiBvg38Vbg6hftC82n37BRI4iGXhlwBuYKC6vjJw24k4oA++vjl8d/AP7P3g5vGHjqZgJGMdrbRDdNcS4zsjBIHA5ZmIVR1OSAfyq1j/AIKp/Ee+1Nz4Q8JWMdmh3bLiSaeXYOpLRmNR/wB8kD36149/wUo8b6l4k/aPn8KzSE2vh6zt7eKME7Q88a3Dvj+83mKpPoo9K/bv4FfB/wAL/BP4bab4K8O2scMkUEZu5goElxcFR5kkh6kls4yflGFHAFAHx5+zz/wUZ8E/FfxFbeCPiBp3/CO6neyCK2mWXzbSVz91CzBWjZjwoIYE8bgSAf0durq2sraS9vJFihhUu7uQqqqjJJJ4AA5Jr83P2g/+Cd3h/wCK3xGt/HfgDUovDIuWB1GFISys4OfOhVSgWRv4gcAn5s5znvf+Ch/jTUvA37Md3ZabcvFLrN1b6Y0gOHaNw0kikj++kTK3qCR3oA8H+K3/AAU4tLXxIfC3wH0H+3sNsW8ufMCzP6Q26ASMvozMpP8AdxyeW8L/APBT3xloHiFNG+Nvg0WcTEeY1p5sE8Sk/e8i4zvHtvX6189/sMfHb4B/AFdZ8TfEmO5fXbt0gtZIbfzvKtguX2tuG0yMcN7KK9O/bR/ak/Zv/aE+F66b4YS7bxFp9xHLZTTW3l4QttmjMm4naUO7HQsooA/Z3wf4z8M+PfCtn418JXaXumX8QmhmTOGXvkHBBBBDKQCCCCARX5jfCz/gp3oXiDxTrUXxM0yLSNFtreW5sZYGaS4cxsAkDIxw8kgPBXaARzxlhf8A+CW2r6/dfCHxNo96HOn2moBrVmHy75YszIp9tqMR2LZ71+W/7KPw30P4tftB+GvAfiVTJp93PJLcIDjeltDJOUJHOH8vacc4PBB5oA+4vEX/AAVW8dtqxn8LeE7KDTSxEYu5JZJXUd9ybEB9QA2OmT1r9DP2Wv2rPCn7TOgXU1jatpesabt+2WLuJAFfO2SJ8LvQ4IOVBU8EYIJ7P9oPwD4X8S/s/eJvCd1ZQC0g0m5e2jVFCwSQQs8LRgDClGUEY+nSvxx/4JgXs9t+0Xd2sbEJcaNcq654O2WFhkexFAH7R/G746/D/wCAHhD/AIS/x9cMiSMYra3hXfNcS4zsjXIHQcsxCjueRn8up/8Agpl8bPEd1Pf/AA/8DW8mm25y+5bm6dF/25IvLVTj1WvEv+ClvjjUfEP7RL+EpJma08P2UEUcWflWS4QTyMB/eYOgJ9FHpX2d8Jv26P2SvhN8O9J8A+H11CGHT7dEcpZ48yXaPMkY7+WdssSfWgDs/wBmv/goT4N+M/iG38BeNrD/AIR7WrshLVhJ5ltcSHogYhWjdv4VbIY8BtxAP6KV/Lx+1F47+GXjf42z/EH4JLNaWl6sVw4MXkMl4pIdkUE43bVfI6sSetf0w+Cr/VdU8G6TqeuxmK+ubKCW4QjaVleNWdSO2GJGKAOmooooAKKKKACiiigAooooAKKKKACiiigD/9f+/iiiigAooooAKKKKACiiigAooooAKKKKAOC+Kv8AyS/xJ/2C7z/0Q9fz3f8ABPf/AJOz8M/7l9/6RTV/Rd4t0VvEnhXU/DqOIzf2k1sHPRTKhTP4Zr8a/wBij9kf44fDn9oq38ZeP9IOmafocd0pmeSNlnklieBVi2MSwIctuxgAcnJAoA/bSiiigD+bH/goR/ydn4m/3LH/ANIoa/Yf9uj/AJNA8U/9cbL/ANLLevhj9sn9kL42/FD9pibxR4J0v7ZpeupaL9rDoI7cxRJBJ52SGAUJv4ByDhcniv0q/ai+G+v/ABR/Z78R/D3wmol1C7t4zbozBfMeCWOYJuOAC/l7QTgZPJA5oA/Or/gkv/x+ePP9zTP53VfCn7ROi3Gn/ta+J9M8Q3MlgJvEEkrXIGXhguJvNSRRlc7YnVl5HQc96/VP/gnJ8A/iZ8HNM8U618SdObSn1d7SK3gkZTIVtvOLuwUnAJlAXJycE4xgnpf2zf2Jv+F/3Efj/wAAzw2XiW3iEUqT5WG8jT7gZgCUkUcK2CCMK2AAQAebL/wTW15lDL8UtUIPIIgb/wCSq42L9hv4GfDr4q6HF8XviQ97qd/cxPbWEyJDNdMrARqzNJK2xmAQfd3fdU5rjPCM3/BTr4YaHF8OdG0ue4trVBBavKlnc+Si/dCTliCoHCiQsAAAMAYrv/gB+w38W9f+Klv8bv2oL7fd21wt2tm0y3FxNPEQ0RmdC0SxKQCERmyBtwo4oA/XuiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAPzn/AOCmPgDxP4w+Btpr3h5ZJodAvhd3kKZP7ho2QylR18okZ9FZj0Br57/YP/bR8GeD/Bi/B/4xaibBLF2OmXswJh8ljkwSMMlCjElCfl2nbkbQD+zE0MVxE0E6h43BVlYZBB4IIPBBr4E+JH/BN/8AZ78danJrOiLeeHJpWLPHYOv2cs3JIilVwnsqFVHYUAP/AGiP23PgBoXwy1nR/DesW/iLU9Ss5rWC1tMyoWmQpulkA2Ki7skbtxHAB7fnf/wTS+HOueJPj6nj6GJl07w5bTtLMQdhmuI2gSIHoWKuzY9F+lfaXh3/AIJZfBjTr1bnxFreq6lGhz5KmKBW9mKozY/3SD71+hHgL4e+C/hh4bh8I+AtOh0zT4OVihHViAC7scs7nAyzEse5oA/D3/gpx8MNZ8PfGeD4mrDnTfEFtFH5y9Bc2yCNkb0JjCFfUZx901+kHwG/bU+Cfj/4c6ffeK/ENjoesW9ukd9bX8yW585FAdozIQHRz8y7STg4PIr6g8f/AA88F/FLwxP4O8fafFqWnXGC0UmeGHRkZSGRx2ZSCPWvz21f/glf8GLvUjc6Trur2duzZMJMMuB6K5jBA9Mhj7mgDwj9pv8Ab38ceJfiNYeCv2YdQkWztpUQ3EEKyPf3TsAqRrIjExg4UAAbyT1XbX23+3D8MvE3xW/Ziura1t/N1jSWg1Q28OW3PCpWdU6k4R5Co6nAHU11PwR/Yv8Agb8CNSXxB4bs5tR1ZM+Xfai6zSxZGD5QVEjQ4z8wTdgkbsV9YUAfgR/wT6+IPwE0y71b4ffGyy0nzL6RLmwvdUggeMMq7ZIWmmB2ZAUoCQpO4Z3EA/oP8aviR+xb8FfDUmsXmi+G9U1AqTa6fZWtnLNK/wDDnYjCNPV24xnAY4Bk+Lv/AAT0+AvxS1mbxLZJc+Hb+4YvKdPZBDI56s0Lqygnvs2Ank5JyeB8If8ABLz4GaJqEV/4n1LVNaETbjbu8cELj0cRp5mP92RaAPbv2PvjPffHD4RXfiafw7b+HLe1u5rW3itBiCRFRW3IuFxgsVbAwSOOcgfjX/wT4/5O08Mf7l9/6RT1/Rx4f8PaH4U0S28N+GrSKxsLOMRQQQqFREHQAD9fU8nmvkb4NfsOfCv4J/Fa4+Knhy6vJ5sTLZ20xTyrUTgh9pChmwpKruPCk5yeaAPo74u/8kn8T/8AYJvf/RD1+GH/AATI/wCTk5P+wRdf+hxV/QLqOn2er6fPpWooJbe6jaKVD0ZHBVgcc8g4r5I/Z6/Yt+HH7OvjLUfG3hq9vL+6vIWtoRdFMQQO6uyjYq7mJVRuPYcDk0AfmZ/wU2+F+r+HPjVF8TEiZtO8RW0SmYD5VubZBE0ZPYmNUYZ6846Gvvn9nrxn+yD8VvhrpmqXemeGLTV4bZI9Qtbu2soZkmjUCR9rqC0bN8yuOCDzhgQPs/x14B8HfEzwzceD/Henxalp1yPnhlB6joysMMrDsykMOxFfnhrv/BLD4N32otdaFruq2EDNkwsYZgo9FYorY9N24+pNAHJfGf8Aa5/Z6+FXjCy8PfAPwZoniTVkmUS3VrbQxxIxICxwSwxkySMT95PlXj7xyB+sttJJNbxyzRmJ2UFkJBKkjkEjjjpxXyJ8Ev2HvgX8DtYj8T6Pb3GratCd0N3qLrI0JxjMSIiRqfRipYdmFfYNABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH//0P7+KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoor8+/gB+1d8RPir+1V42+BviGy06HSfDf9pfZpbeOZbh/sd9HbR+YzzOhyjkttRctgjA4oA/QSiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACivjz9tr9oPxn+zb8KtP8c+Brayuru71aKwdL9JJIxHJBPKSBFJE27dEuDuIwTx3H0F8JfFmo+PPhV4Z8c6wkcd3rWk2V/OkIIjWS5gSVwgYswUMxwCxOOpPWgD0GiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD/0f7+KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAr8X/2M/8AlIh8Vv8AuO/+naCv2gr8X/2M/wDlIh8Vv+47/wCnaCgD9oKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA/Mf/gq5/ybvo3/AGMdv/6SXlfaH7N//Ju/gL/sXNL/APSSKvi//gq5/wAm76N/2Mdv/wCkl5X2h+zf/wAm7+Av+xc0v/0kioA9oooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA//0v7+KKKKACiiigAooooAKKKKACiiigAooooAKCQBk1538Uvir4G+DXg+48c/EG+WysLfgZ5klkP3Y4kHLu2OAO2ScAEj8cvEHxc/ai/4KAeI7rwT8HLeTw74Miby7mVnMaFD/wA/c6gl2Yc+RFkY6hgN9AH358af2+P2fvg5NLpIv28QarHkG10vbKEYdpJiREvPBAZmHda+KW/bj/bI+OMjw/s/+Bvslm7FUukt5LxkPT5riQJbA/7yV9b/AAM/4J5/Av4SxQ6n4lth4q1lQC09+ga3Ru/lW3KAehfewPII6V93wW8FrAltaosccYCqigBVA6AAcACgD8Yl+EP/AAVL8eH7T4g8TnRWPO030Nv+lgjCuL0T/gn7+2t4R8R3fjvwx4v0601nUPM+1XVvqF4lxN5ziSTzJPs4Lb3AZsk5YAnmv3WooA/Fp/Dn/BVj4YqZ7C/bX7aLlgJbO83AdsThZzn/AGeav6D/AMFKfi38ONWj8P8A7SXgSW0Y8GS3jls58Dqwgudyyfg6D0r9lqwfEnhbwz4x0qTQ/Fun22p2Uv34LqJJoz9VcEUAePfBn9p/4K/Hm3X/AIV/rMb3u3c9hcfubtMdf3THLAd2Qso9a9/r8q/jj/wTO8L6jK3jL9na+k8N6zA3nR2jyv8AZi68jypRmWBs8g5Zc4ACjkcH8Ff25viV8F/F3/ClP2xrOeGWArGmqSJmaMHhWm2ZWeI9po8t3O/OQAfshRVPT9QsNXsIdU0qeO5trlFliliYOjowyrKwJBBByCDg1coAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACuC+IXxR+Hvwo0RvEXxF1e20i0GdrTvhnI6rGgy8jf7KKT7V8N/tW/t8aN8KdQm+GHwfhXXvFrN5DsoMlvaSMcbCF5lmzwI14B+8cgofAPhh+wT8WPjxrg+K/7Xut3aSXQDrYK4N2UPIVzgx2yf9MkXIyR8hFAHZfEL/gqXpdxqI8OfAXwtc65dyNsimvAyK7dvLt4t0rg+7IfauGj8V/8ABVH4v5vNH09vDVlL/AYbWx259Bdlrn8ia/Vr4bfBn4W/CDTBpXw30O10pNoVniQGaQD/AJ6TNmSQ+7Ma9NoA/DfxZ+w7+3f8V9Nj0z4keMbO/tUlFwtvfajdSRpKFZQwRYHQMFZgCOxI71s6b+zF/wAFI/h3plvY+EPGcdxb2ESQ29rDqMjxpHGoVESO6iWMKqgADoBxX7X0UAfipJ+0J/wUj+B+Zvif4W/t6yj5kle0SVVQd/P05gi/Vwfevf8A4Q/8FPPgv43mh0j4i2s/hS9kwpkkP2iz3f8AXVFDrk/3owo7tX6WV81fGb9kf4E/HOCWTxdosdvqMmSNRsQtvdhj3Z1GJPpIrj2oA+g9H1nR/EOmw6zoF3DfWdwu+Ke3dZI3U91dSVI9wa0q/CrxJ8JP2qP+Cf2qTeOPhTqLeIfBnmeZcxFS0QX/AKerbOYzjjz4j9Sudp/TL9mf9rD4dftLaE0ugsbDWrRA15pkzAyR9t8bceZFnjcACOAwUkZAPqOiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA//T/v4ooooAKKKKACiiigAooooAKKKKACuD+JvxJ8J/CPwPqHxB8a3H2fT9Oj3uRy7seEjQZG53YhVHqecDJrvK/D39o7xX4k/bb/agsP2cfh7csnhvQZ3F3cJ80e+Li6um7MIwfKhzwWPBxJQBheB/BPxR/wCCkXxcn+IXxBlm0nwJpEpjhhjJ2qvB+zwE8NM4wZpscccY2KP258HeDPC3w/8ADdr4R8F2MWnabZIEhghXCgdye7MTyzHJY5JJPNV/AXgXwz8NPB+n+BPB1sLXTdMiEMMY64HJZj3ZiSzMeSxJPWuuoAKK/JP4kf8ABUr/AIV98RNf8A/8IL9r/sPUbrT/AD/7T8vzfs0zRb9n2Rtu7bnbuOM4yetcX/w95/6p7/5Vv/uKgD9oKK/F/wD4e8/9U9/8q3/3FR/w95/6p7/5Vv8A7ioA/aCivxf/AOHvP/VPf/Kt/wDcVesfAf8A4KaeHvit8SrL4f8AjHw8vh2PVHMVtefbPPQTNjyopFMMeN5+UODjcVG0AkgA/UivBv2gP2dvh7+0X4Pfwz40gCXMQLWV/Go8+1kPdD3U/wAaH5WHoQCPeaKAPw6+BPxk+In7C/xak/Z4+PTvL4WuZM2l3yY7dZGO25gJ/wCWDn/Wp1RskfMGDfuDFLFPEs8DB0cBlZTkEHkEEdQa+X/2tf2b9H/aQ+GE2gbUi1zTw9xpVycDZNjmNj/zzlwFb0OGwSor5W/4JxftA6trOlXv7OHxHaSLXPDO8Waz8SG2ibZJA2ed9u/AHXYQAMIaAP1NooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAr8uf25P2udd8O6kv7OfwLMtx4q1MpBdT2uWlt/Oxtgh28+fICMsP9WpGPmOU+q/2tfj/AGf7O3wfvfFsRVtXu/8ARNLibndcuDhyO6RAF27HAXILCvkT/gnZ+zjdWdhJ+058TQ91r+vmSWwNx8zxwyk77li3PmXBJwf+efIPznAB63+x3+xN4e+AumxeN/HCR6l4yuk3PK2Hjstw5jhJzl+cPL1PIXC53ffdFFABRWVruu6N4Y0a58Q+IbmOzsbKNpp55mCpGijJZiegFfjT4p/bB/ap/aM+KV34b/Y1tpINJ0uMkuYbQtOucedLJeqY4gx4jjBDEZJychQD9q6K/F//AI3Af5/4R+j/AI3Af5/4R+gD9oKK/F//AI3Af5/4R+srXdd/4Kz+GNGufEPiG5js7GyjaaeeZvD6pGijJZiegFAH7ZSRxyxtFKoZWBBBGQQeoIr8cv2tf2Qde+D2uH9pr9l5pdMn02Q3V7YWgx5A5LzQKODFjPmw4KhSSBsyo+bfgn+3T+1R4u+M3hHwn4h8U/aNP1PWrC0uYvsNim+Ga4jjkXckAYblYjKkEdQQa/ohIDAqwyDQB8o/sk/tRaB+0x4C/tHalpr+mhI9Ts1PCsR8s0WeTFJg4zypBUk4BP1fX4ZftC+Btc/YT/aN0v4+/C2Fl8Ma1My3FonyxqWO64sz2CSL+8hz91hwP3Yz+1XhDxXoXjrwvp/jLwzOLjT9TgS5t5B3SQZGR2I6EHkHIPIoA6OiiigAooooAKKKKACiiigAooooAKKKKACiiigD/9T+/iiiigAooooAKKKKACiiigAooooA+ZP2wPjFL8EPgFrfjDTpfK1KdBY6ec4IubjKqy+8abpB/uV84/8ABM34Kx+Bvg9L8UtWj/4mnix/MRmHzJZxMyxDn/no26QkfeUp6V4r/wAFQNa1Hxn4/wDAHwF0Rj9ovpPtJTs0l3KLW2OPYrKPxr9efDXh/TPCfh2w8LaKnlWem28VrAg/hjhQIg/AAUAbVFFFAH4v/sZ/8pEPit/3Hf8A07QV+0Ffi/8AsZ/8pEPit/3Hf/TtBX6yfEH4ofD34VaMfEHxF1i20i152tcOAzkdRGgy8jf7KAn2oA7yivzN1L/gql+z5Z60dPs9N1q7tVbabqOCFVI/vKjzK5H1Cn2r7R+E3x9+Efxv07+0PhtrcF+6rukts+Xcxf8AXSF8OozxuxtPYmgD2Gv5yP2rPhT4t+Jn7UvxR1Dwennz+HILfU5oVz5jwJDbpIY8dWQPvx3UHHOAf6Itb13RPDWmS614jvILCzgGZJ7mRYo0HqzuQo/E1+T+ofBP9jn9r39oDxDd+GPGOsXOuzQreXS2DRR2myIRwEQvLbkvjCEkMw54PYAH0B+wX+1Cvx6+HX/CL+Krjd4p8PxrHdFj81zB92O5Hqf4Zf8AbwTjeBX3rX4L/BL4ZaV8Bv8AgplZfCjwhd3U2nWaSx77h1MsqzaO1yVkMaorASMCBt/hXuM1+9FABX4nftw+HtS/Zr/ab8MftS+CIysOpTBryNOFa4hASZDjgC5t2x6lg7dTX7Y18Z/t9/D6P4gfsveIdke+50VU1WA/3TbHMp/78GQfjQB9c6JrOneItGtPEGjyCa0v4Y7iCQdHjlUOjD6qQa06+Hv+Cd3jx/HH7Luj29w5efQpp9LkJ9ImEkQ/4DDJGPwr7hoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiub8ZeJbPwZ4Q1XxhqHNvpNnPeS/7kEbSN+i0AfjP+0G13+15+3TpXwLtpWbw/wCGHMN0UJwBGBLfNkfddiotwezKtftpaWlrYWsVjZRrDDCixxogAVVUYVQBwAAMAV+P3/BLDwpd6/qXjb45a8POvL64WxSY9S8h+03XP+0WhNfsTQAVla7rujeGNGufEPiG5js7GyjaaeeZgqRooyWYnoBUXiTxDo/hHw7f+LPEM32fT9Ltpbu5l2s+yGBDJI21AWbaqk4UEnsCa/nw/an/AGvT+0946tvh1p2q/wDCNeAYbgB7maOVzPtP/HxNFCjyMB/yyiA64LYPKAHqfxR+KPxS/wCChvxSX4OfBxZNP8FWEgkubmQMqOitj7Tc4xxx+5h6k8nnJT9d/gj8EfAvwC8C2/gXwLBsjTD3Fw4BmuZiMNLKw6k9h0UYAAAr4v8Agj+07+wL8A/Atv4F8C+J9kaYe4uH0+/M1zMRhpZWFsMk9h0UYAAAr1//AIeF/sf/APQ3/wDlP1D/AOR6APtCivi//h4X+x//ANDf/wCU/UP/AJHo/wCHhf7H/wD0N/8A5T9Q/wDkegD6713XdG8MaNc+IfENzHZ2NlG0088zBUjRRksxPQCvw++KPxR+KX/BQ34pL8HPg4smn+CrCQSXNzIGVHRWx9pucY44/cw9SeTzkofFH4o/FL/gob8Ul+DvwcWTT/BVhIJLm5kDKropx9puenHH7mDqTyeclP13+CPwR8C/ALwLb+BfAsGyNMPcXDgGa5mIw0srDqT2HRRgAACgD8ZPi/8ABfwX8BP20Pg/8PfA8RW3iOhyzTPzJcTtqsoeaQ9NzbQOOAAFHAFfv1X4v/tmf8pEPhT/ANwL/wBO09ftBQB4z+0F8ItN+OXwi1r4b3+1ZL2EtaysP9Vcx/PC+eoAcANjqpI718D/APBLz4qanc+G9e+AXigsl74ama4tYpPvrDI5WePHYRTcn3kr9Xq/FLVIh8Av+CodrcW48jTvGEiHaON/9poY2z9b1S34UAftbRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB//1f7+KKKKACiiigAooooAKKKKACiiigD8Xviuv/CZ/wDBVDw3od58yaV9iKD0+z2z3w/8fOa/aGvxg1r/AIl3/BXK0uZuVn2bc/7WjGIfqK/Z+gAooooA/FT9kO2lvf8AgoD8XbOCZ7d5Y9fRZY8b4y2qwgMu4EZXqMgjPaus8H/8E0/F/jnxTN4y/ae8Xz6tK0hxFayPJNKisdvmXEwPlqR/yzRDgHAYVyf7Id7Fpv8AwUB+Luozq7Jbx6/IyxqXchNVhJCquSx44A5Jrb8e/wDBR74j/EzWm8B/so+Fri4upcqt3cQm4uMdN6WybkjA675WYY+8ooA/RDR/2VP2ctD8LnwfZeDNKayZdredbrNM3u08m6Ut6NvyO2K+HPil/wAEwtKTV18W/s6eIJvDV/E++O3uZJGjjbsYrmMmePHuJD7ivMIf2UP+CiHiixbx5rPjuWx1dv3qWLapcI4PXZ+4U26Z7Kp2+pFT+Gf26P2kf2c9Yi8EftW+GZ76EfKl4EWG5ZV4LJIv+j3IHqpUk9XJoAv2X/BOL9oD4latDP8AtEfEM31pbfcEVxc6hLjuFa6Eax59QG+lfoR8EP2Svgh8AJBqPgTTC+qeWY21G7czXLK3UA8Ime4jRQe9fDvjr/gqpo9+sej/AAN8J3upanc/LGdSAUBz0CwWzyvL9A6fjXsX7JGpftteKvH1545/aAg+xeHb2zZILOcJbPFKHVkaK2QGQcblbzsMQRycAUAfOf8AzmA/z/0L9ftBX4v/APOYD/P/AEL9ftBQAVyXj7RIfEvgTWvDlwMx6hYXNsw9pYmQ/oa62qWpXKWenT3kn3Yo3c59FBNAH5Mf8EktZmn8DeMfD7H93a39tcKPeeJkP6Qiv10r8bf+CRVu66b49uz915NNQfVRck/+hCv2SoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACvlv9tfWZtC/ZW8a3sBwz2Atz9LmVIW/RzX1JXx7+33bvdfsjeMYk4IjtH/BLyBj+goA4T/gmjokOlfsr6ffxDDanf3ty/uVk8j+UQr79r4i/wCCdVyk/wCyN4ZiXrDJfofqb2Zv5NX27QB4v+0h/wAm7+Pf+xc1T/0klr8rf+CfX7LHwH+OHwZ1PxZ8UNC/tTULfWprSOX7VdQYhS3tpFXbBLGpw0jHJGeeuAK/VL9pD/k3fx7/ANi5qn/pJLXxf/wSj/5N31n/ALGO4/8ASSzoA9o/4d6fsf8A/Qof+VDUP/kij/h3p+x//wBCh/5UNQ/+SK+0KKAPi/8A4d6fsf8A/Qof+VDUP/kivMfjZ+wt+yv4R+DPi7xZ4e8LfZ9Q0vRb+7tpft18+yaC3kkjba85VtrKDhgQe4Ir9Hq8X/aQ/wCTd/Hv/Yuap/6SS0AfFf8AwShhhX9n3W7hUAkbxDOpbHJC2loQCeuAScemT61+nlfmP/wSj/5N31n/ALGO4/8ASSzr9OKAPxf/AGzP+UiHwp/7gX/p2nr9oK/F/wDbM/5SIfCn/uBf+naev2goAK/F7/gpgv8Awivx0+GvxEtfluI+A3/XldRzL+RlNftDX4wf8FY/9O8RfDrSIuJD/aHI6/vHtVH6qaAP2fooooAKKKKACiiigAooooAKKKKACiiigAooooA//9b+/iiiigAooooAKKKKACiiigAooooA/Fn9suQfC79vH4ffFKb91ZXQsGnl6DENy0M/5Qsv51+01fmR/wAFSPhhN4r+Clh8Q7BN8/he7zLgci2u9sbn8JFi/DJr63/Zb+Ksfxm+BHh3xy8gku5LZbe955F1b/u5cjtuZd4H91hQB9AUUUUAfi/+xn/ykQ+K3/cd/wDTtBX6c6rqvwI/Zu8NzalqD6X4TsJ5GlfaqQtPITuYhEG+Z+eihmx7V+Xf7IdtLe/8FAfi7ZwTPbvLHr6LLHjfGW1WEBl3AjK9RkEZ7V1ng/8A4Jp+L/HPimbxl+094vn1aVpDiK1keSaVFY7fMuJgfLUj/lmiHAOAwoA9N1L/AIKpfs+WetHT7PTdau7VW2m6jghVSP7yo8yuR9Qp9q+uPAnxa+AX7TPhx7bw7eaf4htmUNPp91GrSJ/11tpl3AAnG7aVPYmodH/ZU/Zy0PwufB9l4M0prJl2t51us0ze7TybpS3o2/I7Yr4c+KX/AATC0pNXXxb+zp4gm8NX8T747e5kkaONuxiuYyZ48e4kPuKAP0S03wV8F/g5ZXHiLSdJ0Xwvbqv7+6igt7JAv+3IFQY+prkfhv8AtP8AwU+Lvjq++Hvw61hdUv7C3NzI0aMIWQOEby5GAD7Sy5K5HIwTX5xWX/BOL9oD4latDP8AtEfEM31pbfcEVxc6hLjuFa6Eax59QG+lfoR8EP2Svgh8AJBqPgTTC+qeWY21G7czXLK3UA8Ime4jRQe9AH55/wDOYD/P/Qv1+0Ffi/8A85gP8/8AQv1+0FABXif7SPi2HwN8AvGHieV/La30m5WI/wDTaWMxRD8ZGUV7ZX5Zf8FTPij/AGJ8L9J+EWmNuvPEl0Jpo15b7NakMAVHPzzFNvrsYUAaf/BKvwrJpPwH1XxPcJtbV9Xk8s/3oreKNAf+/hkH4V+nVeK/s6fDQ/CD4IeGvh5MAtxp9mn2kDp9olJlnx7ea7Y9q9qoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACvFf2j/CsnjX4B+MPDNunmTXOkXXkoP4pUjLxj8XUV7VSEBgVYZBoA/MT/AIJVeLYdW+BWreE3fM+j6s7bfSG5jRkP4usn5V+nlfiT+yjcN+zN+3H4p+AuqN5Ona6zw2m7gErm5sjnpzC7Jj++2K/bagDxf9pD/k3fx7/2Lmqf+kktfF//AASj/wCTd9Z/7GO4/wDSSzr7Q/aQ/wCTd/Hv/Yuap/6SS18X/wDBKP8A5N31n/sY7j/0ks6AP04ooooAK8X/AGkP+Td/Hv8A2Lmqf+kkte0V4v8AtIf8m7+Pf+xc1T/0kloA+L/+CUf/ACbvrP8A2Mdx/wCklnX6R67rujeGNGufEPiG5js7GyjaaeeZgqRooyWYnoBX5j/8EwNd0bwx+y94j8Q+IbmOzsbLXrqaeeZgqRotnaEsxPQCvnb4o/FH4pf8FDfikvwc+Diyaf4KsJBJc3MgZUdFbH2m5xjjj9zD1J5POSgBWn8Xaz+2p+3X4b8c/C7S5BonhGfTzLdTZUG0sbtrlppMj5GlLMsUfLHAzj5sfu/XkHwR+CPgX4BeBbfwL4Fg2Rph7i4cAzXMxGGllYdSew6KMAAAV6/QAV+LP7Y8g+J/7evw++GNn++j086etyg52mS4a4m49rcK1fs7e3lpp1nLqF/IsMECNJJI5wqooyzE9gAMk1+LX7FkV5+0N+2X4v8A2kL5D9i00ytalhyrXINvbJz3W1RwffHrQB+11FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH//1/7+KKKKACiiigAooooAKKKKACiiigDnPF/hXRfHPhXUfBviOLzrDVLeS1nT1SVSpwexGcg9jg1+Nv7F3jXWf2WP2iNd/ZV+JchjtNUugLKZvlj+1Y/cyL223cW0eu4Ivrj9ta/PL9vn9le5+NPhKL4keAYW/wCEs8PRkxrFw93bKS5iGOfMjOXixySWXqwwAfobRX59fsOftfWfxx8Np8PPHcwh8ZaTFtkEnym+ij485Qf+Wi/8tV9fmHBIX9BaAP59obj9qT4C/tV+P/ih8MfAOo6r/auo6rbRyXGl309vJbz33nrJG0Pl7t3lqVYMVKk8HINe1f8ADaP/AAUG/wCiU/8AlE1b/wCPV+z9FAH4wf8ADaP/AAUG/wCiU/8AlE1b/wCPUf8ADaP/AAUG/wCiU/8AlE1b/wCPV+z9FAH4wf8ADaP/AAUG/wCiU/8AlE1b/wCPUf8ADaP/AAUG/wCiU/8AlE1b/wCPV+z9FAH4Vfs9ab+0H8Q/28tI+OPxU8Gajof2z7R9ql/s67trOLy9Lkto/mnDbd21R8znLHA6gV+6tFFAGdrGr6Z4f0m613Wp0trOyieeeaQ4WOONSzsx7AAEmvxJ+CVnqX7b37aF58a9at3/AOEW8LvHJbxyj5QsJP2OEg8bncGeReR94dCM9L+2Z+0R4g/aE8a2/wCyZ+z1u1BLi5EWo3MDfJcSIcmIOOBBCRvlfoSvHyrlv0x/Z3+Bvhz9nr4X2Xw90EiWVP317c4w1xcuB5khHYcBUHZQByeSAe40UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB+TX/BS/4O6zBBov7TPgJWh1Pw7JFFeyxD51jWQPbT/wDbKU7SeTh17LX3l+zn8bdF/aA+E+m/EPStsc8q+TfW6nPkXUYAlj9cZIZM9UZT3r1/XNE0nxLot34d16BLqyvoXt54XGVkjkUqyn2IJFfhlY3fjL/gmx+0VLZXqXGofD/xG2VYcl4QflYfw/abbdhhxvU9tylQD9ef2kP+Td/Hv/Yuap/6SS1+Vv8AwT6/an+A/wAD/gzqfhP4oa7/AGXqFxrU13HF9lup8wvb20atugikUZaNhgnPHTBFfsIsvgj4w/D2RYJY9W8P+I7J4maJ2CT21yhRwGQq65UlTghlPoRXzL/w70/Y/wD+hQ/8qGof/JFAB/w8L/Y//wChv/8AKfqH/wAj0f8ADwv9j/8A6G//AMp+of8AyPR/w70/Y/8A+hQ/8qGof/JFH/DvT9j/AP6FD/yoah/8kUAH/Dwv9j//AKG//wAp+of/ACPXmPxs/bp/ZX8XfBnxd4T8PeKftGoapot/aW0X2G+TfNPbyRxrueAKu5mAyxAHcgV6d/w70/Y//wChQ/8AKhqH/wAkUf8ADvT9j/8A6FD/AMqGof8AyRQB+If7PnhH43ftBaVH+zb4Dma28OnUG1bUpcEQxl0ii3zsD84URDyouNz5PbK/0W/BH4I+BfgF4Ft/AvgWDZGmHuLhwDNczEYaWVh1J7DoowAABV34T/BX4Y/A7Q7jw38LdLGl2d3ObmVPNlmLSlVTJed5HxtUALnaOSBknPqVABRRXhv7QXx98F/s7eAJ/G3i1/MlbMdlZqwEt1PjIReuFHV3wQq88nAIB8i/8FI/2gF8BfDZfg14ZkLa74sTy5Vj5eKx3bX4HOZz+6Ud139wK+gP2NPgUfgH8DtO8OanEI9Z1D/T9TPcTygYjJ/6ZIFTrjcGI618F/sZ/Bjxl+0Z8Wrr9r/44oZYFufN0uFwQks8ZwjIp6QW2Asfq46na2f2goAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAP//Q/v4ooooAKKKKACiiigAooooAKKKKACiiigD8s/2wP2Jta1jxA37QP7ObPYeKbaQXVzaWzeUbiRefPtyMbZ+7L0k6/fzvv/sw/wDBQrQfF0ifDf8AaC2+HfEts32f7VMvk29xIp2kShgPs82fvK2EJzgqcJX6e18iftG/sYfCX9oqKTVdThOk+INu2PVLVRvbAwonThZlHA5w4AwHAoA+uUdJEEkZDKwyCOQQe4p1fhxBoX7fH7Er/Z/D4bxj4Tg+7GiyXtukY/6ZjFxbYHJ24jz3avd/h3/wVV+FWroll8TtEvtBuvuvJb7bu3BHBJ+5Kv0CNj1PcA/VCivl7QP20/2WfEkYk0/xrp8QPa6L2p/K4WM110v7Tn7OMUQmbx5oBB/u6jbsfyDk/pQB7nRXx/4p/b0/ZT8Kxv53iuK+lXpHYwzXBY+gdE8v83Ar4/8AG/8AwVIu9fvB4a/Z78H3WpX852wyXyl2Lf7NrbFmf2/ej6egB+sfibxR4c8GaJceJPFl9Bp1haruluLhxHGo92YgZPQDqTwOa/HD48fti/Eb9pvxC/wA/ZNsrmS0vcxXOoIDHNcRdHwTj7Pb8/M74ZhwdoJDVdF/ZJ/a1/aw1iDxZ+05rk2iaQH8yOyfHnKp7Q2iYihJHBaT5+5Vq/Vn4O/Av4ZfAjw5/wAI18N9NSzR8GedvnuLhgPvSynlj1wOFXJ2gDigDxr9kn9kbwr+zP4ba4lZNR8TahGovr7HyqOvkQZGViB6k4LkBmxhVX7CoooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK8v+MPwg8E/HHwLdeAPHlv51pcfMki4EsEq52SxMQdrrn6EEqQVJB9QooA/B7RvEXx8/4JseO38PeI4JPEPgHUpyY3XIifP8cLHIguAB88TfK+O4AcfsP8IPjj8Mvjp4cXxJ8N9TjvUAHnQE7bi3Y/wzRH5lPUA8qcZUkc13fijwt4c8a6Dc+F/FtjDqOn3abJredA6OPcHuDyCOQcEEGvyc+KX/AATp8b/D/wARt8SP2Rdem026iyy6fJO0Uq55KQ3OcMp6bJuMfec9KAP2Cor8WfD3/BQj9oH4JX8XhL9qDwdNMy/J9qWM2dw4HVwCpgm+sexfevr3wb/wUa/ZY8WQqb7WLjRJm/5Y6hbSKR9XhEsQ/F6APumivBrL9qX9m7UEDweO9CUEZ/eX0ER/J3U1nat+1z+zLosLT3njjSHVeoguVuD+Cw7yfwFAH0VRX5z+PP8Agp5+zl4YjePwn9v8RzgfL9ngMEWfRnuPLYD3WNq+WLz9o79uL9rlzonwQ0KTwzolwSrXlvuTC99+oShRkdcQKr+x6UAfoF+0p+2Z8LP2dtPl0+6nXV/EZX9zpdu43qSOGuHGRCnfn5iPuqRyPz8+Dv7PPxd/bc8fp8ef2lJJrTw2CGs7MbovtEWcrDboTmO3/vSfek7Ekl1+k/2e/wDgnD4G+H98njT4zXK+LNe3+b5ThjZRyE5LFX+ads87pAFP9zPNfpYqqihEGAOAB2oApaZpmnaLp0GkaRAlta2saxQwxKFSONBtVVUYAAAwAKvUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH//R/v4ooooAKKKKACiiigAooooAKKKKACiiigAooooAK8f8ffs//BT4ol5fHvhjT9Rmk+9cPCqXH/f9Nso/Bq9gooA/P7Xv+CZ37LWsSmSwstQ0sH+G1vHYf+RxMf1r8zf2ev2WPht8Uf2sPG/wS8Sz3y6P4b/tP7K0EqLO32O+jto/McxspyjkthVy2CMDiv6M6/F/9jP/AJSIfFb/ALjv/p2goA+vPDP/AATn/ZT8Osstzoc+qSJyGvbuZhn3SNo0P0KkV9Y+Dvhz4A+HlobHwJoljo8TABhZwRw7sf3igBY+5JNdnRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAZWs6FoniPT30nxDZwX9rJ9+G4jWWNvqjgg/lXyt4u/YO/ZV8YzPdXXhSGxmf+OwlltQPpHE4i/8cr6+ooA/BT9uj9jL4Q/s8fCzT/HXw/l1A3d3q8Vi8d1MkkQikgnlJAEatuDRLgljxnjvX0n8D/8AgnR+zv4r+F3hbx54j/tO7utY0myvriI3QSLzLiBJXCiONWChmOBuJx3NdB/wVc/5N30b/sY7f/0kvK+0P2b/APk3fwF/2Lml/wDpJFQByvgf9kD9mn4eyLceG/B9gZl5Et2rXjg+qtctIVP+7ivo+OOOGNYolCooAVQMAAdABT6KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAP/S/v4ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACvxf/Yz/wCUiHxW/wC47/6doK/aCvxf/Y5Hkf8ABRP4qRy8F/7cx751WBh+lAH7QUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB+Y//BVz/k3fRv8AsY7f/wBJLyvtD9m//k3fwF/2Lml/+kkVfFn/AAVddR+z3osZPzHxFbkD2Fpd5/nX2t+znG8X7PfgSKQYZfDulgj3FpFQB7LRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB/9P+/iiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK/F74It/wh3/AAVE8XaJefK+q/2gEHr56Jej/wAcXNftDX4rftQSN8Fv+CiHg74sy/JZ6x9jaaToADmwuPxWHa34igD9qaKKKACiiigAooooAKKKKACiiigAooooAKKKKACivBfjd+0t8If2fdNF38Q9TCXUq7oLC3Alu5h6rGCML/tuVTPG7Nfmbqf7bn7WP7Repz+H/wBl7wo9hZhvLN2I1uJlz08yeXFrDkc4IJHZj1oA/ap3SNTJIQqqMkngAV53qnxi+Eehytb634q0izkX7yz31vGR9Qzivycg/wCCfH7UPxfddQ+PvxA8tX+byWln1F0/2djNFCn/AABiK9P0n/gkz8JIYVXXfE+r3MncwLbwA/QMkpH5mgD9BLP48fA7UWCaf4z0Kck4Aj1G2bn8JDXpdjqFhqduLzTZ47iJujxMHU/QgkV+YN7/AMEnvgdIhGneINdibHBke2kGfoIE/nXlmpf8Eu/iN4LuDrXwV+ILW16v3PNSaycY6fv7eSQ/+OCgD9nKK/EWb4w/8FDf2U8yfFDTW8VaDBy9zMv2qMIOrfa4MSx57GcH/dr7h+AH7eXwU+Os8GgSTN4e16bAFjfMoWRz/DBOMJIfRTsc9loA+2aKKKACiiigAooooAKKKKACiiigAooooAKKKKAPyW/4K1a1DB8N/CXh1j+8utSmuVHtbw7D+swr9Mfhjo83h74a+HtAuBtksdMtLdh6GKFEI/MV+R37eEjfGL9r/wAAfAyy/eR232dZ++w304abI9FgjRz7V+1NABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB//9T+/iiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK/Mv/gqJ8K38W/Bay+JGnoWuvCt1ukI6/ZbsrHJ+UgiPsNxr9NKwfFPhnRvGfhq/8I+IYRPYanbyW1xGf4o5VKsPY4PB7HmgDxf9lX4sx/Gn4DeH/G0solvTbi2vufmF1b/u5S3oXI8wD+6wr6Gr8SP2M/GGrfsq/tJ6/wDstfEWUx2OrXQSymfhDcgf6PIvYLdRFR67wi+uP23oAKKKKACiiigAooooAKKKKACiiigAr8w/2sv27LjwhrZ+C37PMY1nxXPJ9mluYk89LaVjtEUKAES3Geo5VDwQzZAuft5/tYav8PIYfgV8IpHl8W62Fjmkt8tLaxTfKiRheRcTZ+THKr8w5ZCO4/Yu/Y00b4A6FH408axR3njK+TMspw62SOOYYjyN2P8AWSDqcqDt5IB4P8Af+CddzreoD4qftW3k2saxeP8AaG01pi43HnN3MCWkb/YQhRjBZhwP1a0PQdD8M6XDofhyzgsLK3XbFBbxrFEg9FRAFA+grWooAKKKKACiiigBGVWUqwyDwQa/Pz9oz/gnt8KPjDDP4g8Cxx+FvEJBYS26BbSd+v76FQACT1kjw3OWD9K/QSigD8Uvg1+1h8Yf2UvG0XwJ/ayt55dLTCW2ovmWWCInCSLIM/aLfj/fTkc7dg/Z3StV0zXdMt9a0W4ju7S6jWWGaFg8ciMMqysMggjkEV5B8fPgD4D/AGh/A8vg/wAaQASqGazvEA861mI4dDxkHjehOGHB5AI/Lb9mb4x+O/2N/jDL+y58eZdug3M3+g3bE+VbtMf3c0bn/l2mP3gf9W+SdpEmQD9uKKKKACiiigAooooAKKKKACiiigAqnqGoWWk2E+qalKsFtbRtLLI5wqIgLMxPYADJq5X5nf8ABSj4+L4H+G0fwX8NSFtb8VgLMkfLx2O7DcDnM7Dy1Hdd/oKAPAv2KbW8/aK/bC8XftK6ujG00xpHtN/VXuQ0Fsnv5dqjA+h2n0r9rq+W/wBjv4HD4CfA3TPC9/EI9XvR9u1M9/tMwH7sn/pkgWP0ypI619SUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH/1f7+KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA/OT/AIKD/sx3/wAWPCEHxW8ARN/wk/hlC22HIlubVTvKqRz5kTZePHJywGSVruP2If2q7P8AaG8BLoniWZE8WaNGqXsfCm4jGAt0i+jcCQD7r9gGXP3HX43/ALXH7MHjP4JeOl/ar/ZmV7VrWVrrUbO2XPkMcmSZIx96CQZE0eMLknGwnYAfshRXyN+yt+1z4I/aW8OiKIpp3iS0QG901m544MsBPLxE/wDAkPDdi31zQAUUUUAFFFFABRRRQAV5J8dPizpHwP8AhVrHxL1gCQadDmGEnHnTudkMY7/M5GSM4XJ7V63X41/8FI/Fes/Ez4p+C/2X/CMhaW6miuLhRyvn3T+Tb7/+uab3P+y4NAFz/gnr8FtX+JHivVP2vPiwPtl9fXM39mGUcNMzET3IHQBDmKIDhcNgDapr9JP2hPCt54z+CfiXQtLUPffYZLizBGR9rtcXFtx/12jSu58C+DdE+Hng3TPA3huPyrHSbaO2hHcrGoG5vVmPLHuSTXV0Af5Qvxg0e7/Z7/ae1u08EO1r/wAIxrz3WjynqIIp/PsZR/vReW4+tf6mvwg+I+j/ABi+E/hj4t+HsfYPFGk2WrW+Dn91ewJOgz7BxX+dr/wWo+DH/CoP209SS3jKwX8GzIGFX7DI9pAgHqLGO0kb/roD3r+ov/gjz+1iNY/4JGeH7lr6GPXPCV3e+Eo5rhh5cUsbG5t5Zc9IbSxmSaXn/VQua/evEiP1/JcHmcdXon/28tfxVj8h4Hl9TzXE4F6LVr5PT8GfYP7W3/BXv9jz9i7xFY+FfjDdarJfahJdrDHptotwSlnIsEspzImIzP5sCt/FJBKMYUE+IXv/AAX1/YUsPglF8fbiHxMNDutabQrVTp8S3FzdRW4ubhoY2uAGjt0eISvuG1powAcnH8RP7Vnxb8S/txftgXWofD22ub+LV7628P8AhaxbLTtaRuLaxQg/8trgnzpv708sjHrX9Nv7aP8AwRj/AGf/AIb/ALKvggePvFuuRf8ACufCepp9k0xrWOza7tLC91rU79hNBJI7XVxEIsbgQhhQHCDPJieCMny+jhoZlKXtKm9vytbu0vvOihxXmWMqV54FLkhtf8737Jv7j6n/AOImH/gnZ/0D/GP/AILbb/5Mrs/h3/wcSfsGfFDxzpXw+8Lab4uN/q9wlvE0un2qRR7j80krm8xHFGuXkc8Iisx4Br+Mj/gm5+yTpf7cP7Y3hT9nHxFe3Wm6TrIvZr68stnnQQWlpNcZTzFdMs8aJypHzV+u3/BRH/gnD+z1/wAEvvg54u8ZfCTX9d1nxLqcWneGLa51SS2KQLry3kl6IUggiYSGwsZIHZmKmK7Zdu7DD1804H4dw+Lhl7c/azXuq+mrau3by+483L+K86r4eWN932cd9NdNdNfM/oV/Zi/4Lj/sYftcfHrRf2dfhFaeJZNd11rlbaW7sIYbXbawS3Mju4uWZV8uJiMpnOBgE0n7SX/Bc/8AYa/Ze8bxfD/xxLrmpahLCbjGlWkNwiwl2SKRme4jwJgvmRAjLRFJMBHQt/E9/wAE4fjx8Lv2ZfiF44+NfxIlZ7rTfB2o2uhWERdZb/U7+W3tVtxInMUZt5JzLLuBSMNsy+0Hr/2C/wBkz4q/8FV/21zpfiu5mbT7i4Os+LNVRQi21iHG6OIAbI3l4gto1G1BghfLjYBYvwwy6hiqlas3HD043bb1ctdtNkrerdh4fj7G1cPClSSdactNNEvPXdu/yP8AQf8A2Qv2sPAn7aXwatvjv8MdJ1jS/D9/cTQWb61bx20l0sB2PNEkcsuYvM3RhiRlkbAwMnhP26P2a7f4+fCmXUtBtw3ibQEe4sGUfPMgGZbY+vmAZQdnA6Atn608E+CvCnw38HaX8P8AwLYRaXouiWsVlY2kA2xwW8CBI41HoqgD19a6ivwPGTpSqydFWjfRPV26XZ+w4aNRU4qq7y6vzPz4/wCCd/7Qtx8YfhK3gzxLN5mu+FRHbSMx+ea1IIgkOeSyhTG555UMTlq/QevxA1q3T9kL/gonaahY/wCi+HPGLKXUcRiHUG2SA9gsV0vmAfwoAK/b+uY2CiiigAooooAKKKKACiivM/i18XvAfwS8G3Hjj4g3q2lpCMIgwZZ5MfLFCmcu7enQDliFBIAK3xo+MPhD4F/D2++IfjKULBariKEECS4nIOyGMHqzkfQDLHgEj8q/2Ofhd4x/ag+N17+158Yo91ja3JbToWB8uS4j+WMRg/8ALG1AGD/FIBySHriNA0H4r/8ABSn4xL4q8VRzaN8P9EkKKiE7UTgmGIkASXMox5kmMIuOMBFP7h+GPDOgeDPD9n4V8LWsdlp1hEsNvBEMKiKMADufUk8k5JJJoA3aKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD//1v7+KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKQgEYPQ0tFAH5Q/tMfsCalHr7fGn9lqZtG1+3kNy2nQP5CtJ1L2jggROe8ZIRs8FehpfAr/go5LpWpj4Z/tVafLoer2jCF9R8lo13jj/AEq327omPdkBU5ztQc1+tdeE/Gr9m34P/H/ThafEXSlmuYl2w30J8q6hH+zKOoHXa4ZM87c0Aeu+H/EWgeK9Jh1/wxewajY3A3RXFtIssbj/AGXQkGtmvxW1j9hn9qX9nrVp/En7LPiuS8tWO82hlFtO+Ogkikzaz4Hdiuey06w/4KH/ALR/wgmj0b9ofwEzlDsM/ly6fI/+1llkhk/4AFU9qAP2nor81/DX/BUz9nbVwqa7Z6vpMh+8ZII5Yx9DFIzH/vgV6ba/8FFP2Rbhcy+J5IPZ7C9P/oEDUAfbdFfF/wDw8L/Y/wD+hv8A/KfqH/yPR/w8L/Y//wChv/8AKfqH/wAj0AfaFfit8CIz8Z/+Cl3izxze/vIfDbXzQk8qRa7dOhx9VbePcZ619s/8PC/2P/8Aob//ACn6h/8AI9fFv/BK3br3j/4jeLpPnkkFr856/wCky3Eh/MoD+FAH7RUUUUAfxvf8HNXwZ+zat4f+LlrHwZ4i20csbqFre4dv9mMWNmoPYy471+CPwM/bY134I/sdfFH9mjRoHa88e3dibO8BwLG2aKeHVtvP37uDyLbp/qml5GRn+3P/AILjfs9a78eP2OdSj8J6fPqOpWEN1tjtYWmn2Rot+ojRAzEyXFjBFgDnzDX8Ddn+yh+1Hf3cVjafDfxQ8szrGi/2ReDLMcAcw45Jr+mPC7GYbFZP9VxTX7uezfZqSf33Pwnj/DV8Pmf1jDp+/Hp6OL/A/dj/AINs/wBi3/hb37Rup/tZ+MbTzNB+HC+RpnmLlJtZukIUjPB+ywFpCOqvJCw6V+3v/Bej4mnwZ+yt4uht5Nsy+G2sY1z96XXNUsrX/wBJLe9+uTX6If8ABO39kfSf2Iv2Q/CPwDtVjOp2dt9r1qePBE+qXWJLp9w+8qufKjJ58pEHavw+/wCDg7wZ8efip4Fbwb8KfBuv+Izf+I9NikOlabdXn+iaPps84J8iN8RtcauQG6M8TAElCB+fVs6jnHE9Kq3+7Ulbtyx1/GzfzPsqWVvLchnTS99xd/WWn4bfI/Pn/g1++GX/AAkX7YnjT4o3Ee+Dwz4Xa2RsfcuNRuoQhz6+VBMPxNdx/wAHHnxO/tG88O+C7aTcNV8T6zqEq5+7FpNrY6Tb/X9+t6fYk1+h3/BtX+zL8SfgV8D/AImeO/i14a1PwvqniHW7SyS21azms7h7bTbYyrIsU6I5jL3jqGAwWVgDkHH4zf8ABY74KftWfGv9ozw5L4Q+G3ivVbHTPDFs8ktno19PELzVrq61i5BeOFl8xXvhHIM5Vk2nBBFfXUsVSxXGTquS5aa0d9NI2/OR85UoVMPwwqai+ab7f3r/AJI/GKL4AePp/wBnKf8AajjSI+GLfxHH4Xdst5wvpbR7xfl27dnlIed2dxAxzmv6of8Ag1c+J2iHS/i58GpoYY9SEum61DKEUTTQFZreVWf7xSFhGVByAZWIwSc/OOmfsWePfBX/AARPn8OeONHvdG1jxFa6/wCKn06/gkt7i1vtBvbeZXkhlVXVpdJtLsjIB2bW6V8Wf8G/Xxr/AOFQf8FK/C+j3U3k2XjexvvD1wSeC00YubcY7lrm2iQf71fS5/jo5xlGOpQ3pyaVv7lpfjZo8LJ8I8szLCVJfbSv/wBvXX4aH+ilRRRX8qn9CH5Nf8FYfBguvh54X+I9t8s+l6g9kzLw2y6jMgJP+y0Ax6Fvev0h+EXi9/iB8K/DfjiUjzNW0y1u5MdpJYlZx+DEivlr/go9psd9+yZr1067jZ3FjMp9CbmOLP5OR+NeJ/spfttfs4/D79nvwz4L+IHiU2Wr6dbyQzwmzvJdgE0nljfFC6H93tPDHHTrQB+qtFfF/wDw8L/Y/wD+hv8A/KfqH/yPR/w8L/Y//wChv/8AKfqH/wAj0AfaFFfFU3/BQ/8AZCjTcnitpD6LYX+f/HrcD9a4jXv+CnX7MGkR79Ol1TVW/u21ptP/AJHaIUAfoZTXdI0MkhCqoySeAAO5r8cvEH/BUnxR4pvToXwN8CTXt2/+ra6Z55D/ANu1sufylNcm/wAE/wDgoJ+1gM/FjVG8LaBcEFrWc/ZkKen2OD53I7C4IP8AtUAfWv7Q3/BQ/wCEfwjhm0LwJJH4r18ZUR2zg2kLdMyzrkMQf4I8njBK9a+S/ht+y38eP2yfGMfxi/alu7nTNE+9bWODDLJETkRwQnP2eE93YF368k7x90fAT9hH4IfAuaDXVtm1/XYcML+/AYRuO8MI+SPnoTucdnr7SoA5/wAK+FPDngfw9aeE/CNlFp+nWMYigt4RtRFH6kk8knJJJJJJJroKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA//1/7+KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqvd2lpf2z2d9Ek0Mg2ukihlYehByCKsUUAeCeI/2Wv2c/FZL634K0hnbq8VrHA5+rwhGP515tdfsBfsi3h3TeD4x/uXl7H/6BOK+xKKAPi/8A4d6fsf8A/Qof+VDUP/kij/h3p+x//wBCh/5UNQ/+SK+0KKAPi/8A4d6fsf8A/Qof+VDUP/kivi3/AIJW7dB8f/EbwjJ8kkYtfkPX/RpbiM/kXA/Gv2ir8VvgRIfgx/wUu8WeBr393D4ka+WEHhQLrbqMOPoq7B7nHWgD9qaKKKACiiigD8bP2qv+Cmnjn4E/HXWvhP4R0DTtStNI8hDcXDzB2klgjlcfIwGFL7enav0N+LP7Q3hb4A/Bm3+Knxc/0eZ4IV+x2wzJNeSR7jBCGPqG5Y4VQSTxX80esj/hfn7c00A/fQeIvGHlDuPsz3mwZ9lhHPsK/SX/AILNaV4mm0fwJrMCSNo8Et/FMy52LcyrCYg/bLIkmzPo1AHhXi//AIK8/H/W9XkPgHQdJ0uyUlkiljmu59o/vyb41P4RrX1V+x3/AMFLvGvxv+I1j8J/iJ4WSS81AkR32jLIUi2jJe4gdnKxj+KQPhe64PHlX/BND9qr9mv4WfD1/hn45mi8OeIbm8klk1G5QLBdo5HlhrgA+X5Y+XbIVQdQ2WIr9lvBXw7+Ffh7Vb/x94A0qwtrrxEI5rm9skQfagFGxt6cFSPm+XhiSxySSQDif2iPgvH8cfCNj4Ycw7YL9JJxMSqyWc8UtnfRgqrHdJZ3EyqCMFiAxAyR/H38HP8Ag3Y/4KKfBL42eF/i94Y8ReCZJ/CmtWerWxOoX6M5srhJkyP7PIG7ZgjJHOOa/uBpqujMVUgleCB27819Pw/xdjMshUp4a1p73V+/+Z4Oc8OYbHShOve8drO3b/IdRRRXzB7x8Lf8FHtSjsf2TNetXbaby4sYVHqRcxy4/JCfwrxP9lL9iX9nH4g/s9+GfGnxA8NG91fUbeSaeY3l5FvBmk8s7IpkQfu9o4UZ69az/wDgrD4zFr8PPC/w4tvmn1TUHvWVeW2WsZjAI/2mnGPUr7V+kPwi8IP8P/hX4b8DygeZpOmWtpJjvJFEqufxYE0AfOf/AA70/Y//AOhQ/wDKhqH/AMkUf8O9P2P/APoUP/KhqH/yRX2hRQB8aQ/8E+/2QoH3p4PUn/avr5h+TXBFdtoX7HX7L/h2UTaf4J0x2H/PzGbkflOZBX0rRQBiaD4Z8OeFrP8As7wxp9tp1v18q1iSFP8AvlABW3RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAf/9D+/iiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK/Gv/gpH4U1n4Z/FPwX+1B4RjKy2s0VvcMOF8+1fzrff/wBdE3of9lAK/ZSvJPjp8JtI+OHwq1j4aawRGNRhxDMRnyZ0O+GQd/lcDIGMrkd6AOw8C+MtD+Ing3TPHPhuTzbHVbaO5hPcLIoO1vRlPDDsQRXV1+O//BPX406v8N/Feqfsh/Fg/Y76xuZv7MEp4WZWJntgehDnMsRHDZbBO5RX7EUAVb6+stMtJNQ1KZLeCFdzySsERVHdmYgAe5rzP4gfFDw54c+DWt/FnSL+3u9PsNMub2G5gkWSKQxRsV2OpKtlxtGCcnivkD/gol+yh40/aU8A6bqHw3nLazoLyOtg8vlxXkUu3K5ZhGJUK5QtgYLAkZFfiB/wpj9vH/hGV+Cn/CPeLv7C83cNO8m6+wbi+7OceRt3/Nydu75uvNAHa/8ABMrwbN4y/a/0O/kUyxaLBd6lNnn7sTRIxPtLKh+tf00eOPDPw/8AiHpU/wAN/H1taanbajCzvYXO1jJGhUGRUzuGxmX51wUYjBBxXwb/AME7/wBjPW/2a/DeoeMviMI18Ua8iRNBGyyCztkO7yi65VndsNJtJUbVAJwSfgL9p39lD9u3wv8AGu7+NHhnUNQ8WTmVntNU0qQpdwRZO2H7MhV4wASNkKtGRn1IoA6r9t7/AIJufD74RfDXVPjX8ItRntLTSzG9zpd43mpsllWIeRMcOCrOPlkLlhnDZwDq/wDBH34v+M7vxV4g+CWo3ElzosOnnVLVJCWFtKk0cTrHn7qy+duK9Ny5GCWz8r+KvDn/AAUp/aPtIfAfjfSvE9/ZrIpEF9aHT7Yuv3WkeRII2K9QXJx1r9h/2CP2L5v2WvDN9r3jKeK78U64qLceQd0VrAhLLAjEAsSx3SNgAkKBwu5gD4k/4OC/2wfi9+yn+yDpWlfBS/uNE1fxxq/9lTatas0c9raRwvNMIJVwY5pSqoHB3BN+3DYYfwmfBz9ov43fAH4nWvxj+Enia/0bxFazCb7XDM+6Y5yyTgnE0b9HSQMrAkEEGv8ATU/bl/Yp+E/7e/wCvvgP8WDNbRSTR3mn6hbBTcWF7CGEc8W8FT8rNG6n78bsuVJDD+dD4Nf8GtVvo/xQttU+OfxOj1nwlZziR7LS7F7W7vUU58t5ZJXW3DdGKCRtuQpUkMP3jw74vybBZZOhjNJ3d9L8y6dPlZn5Fxrw3meKx8a2G1jpbW3K/wCtbo/qI/Zu+Kd38c/2ePAnxq1C0FhceLvD2mazLbAECF761juGjXdzhS5AJ6gZr2msvQ9D0fwzoln4b8PW0dlp+nwR21tbwqEjihiUJHGijhVVQAAOABXxv+3R+0pb/AP4Uy6boNwF8Ta+j29gqn54UIxLcn08sHCHu5HUBsfhleUZTlKCsr6I/WaMZKCUndnw5rVwn7Xv/BRO00+xzdeHPBzKHYcxmHT23yE9ist03lg90IPav2/r8+P+Cd/7PVx8HvhK3jPxLD5eu+KhHcyKw+eG1AJgjOeQzBjI445YKRla/QesjQKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAP/9H+/iiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAPzP/bz/AGT9X+IcMPx1+EUbxeLdECyTR2+VluoofmR4yvJuIcfJjll+UcqgPcfsXftl6N8ftCj8F+NZY7PxlYpiWI4Rb1EHM0Q4G7H+sjHQ5YDbwPvivzD/AGsv2E7jxfrZ+NP7PMg0bxXBJ9plton8hLmVTuEsLggRXGep4VzySrZJAP08or8j/gD/AMFFLnRNQHwr/ats5tH1izf7O2pNCUG4cYu4QA0bf7aAqc5KqOT+reh69onibSodc8OXkF/ZXC7ori3kWWJx6q6EqR9DQBq0UUUAFFFFABRSMwUFmOAOSTX5+ftGf8FCfhR8HoZ/D/gWSPxT4hAKiK3cNaQP0/fTKSCQesceW4wxTrQB9K/Hz4/eA/2ePA8vjDxpODKwZbOzQjzrqYDhEHOAON7kYUcnkgH8tv2Zvg547/bI+MMv7Ufx5i3aDbTf6DaMD5Vw0JPlwxof+XaE/eJ/1j5B3EyEW/g1+yf8Yf2rfG0Xx2/ayuJ4tLfD22nPmKWeIHKRrGMfZ7fn/ffk8bt5/Z3StK0zQtMt9F0W3jtLS1jWKGGFQkcaKMKqqMAADgAUAaFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB//S/v4ooooAKKKKACiiigAozjrWdq+r6ZoGmT6zrU6W1rbIZJZZDhVUdSTX5RfGX9qzXvGfi60PhBntNF0m6juIkzte5eFwyvL6LkfKnbqcnGObE4qNJXkfJ8V8Y4TKKalXd5PaK3fn5JH63UVS03ULXVtOt9Vsm3Q3MaSxt6q4DKfyNXa6T6uMk1dBRRRQMKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAPBfjd+zT8If2gtNFp8Q9MD3US7YL+3Iiu4R6LIAcr/ALDhkzztzX5m6n+xH+1j+zpqc/iD9l7xW9/ZlvMNoJFt5mx08yCXNrNgcZJBPZR0r9rKKAPxWg/4KD/tQ/CB10/4+/D/AMxU+Xzmin053/2t7LLC/wDwBQK9P0n/AIKzfCSaFW13wxq9tJ3EDW84H0LPET+Qr9WHRJFMcgDKwwQeQRXneqfB34R65K1xrfhXSLyRvvNPY28hP1LIaAPz8vf+CsPwOjQnTvD+uytjgSJbRjP1E7/yryzUv+ConxG8aXB0X4K/D5rm9b7nmvNeuc9P3FvHGf8Ax81+o1n8B/gdpzB9P8GaFAQcgx6dbLz+EYr0ux0+w0y3FnpsEdvEvRIlCKPoAAKAPxQm+D3/AAUN/aszH8UNSbwroM/D20zfZYyh6r9kgzLJjsJyP96vuH4AfsG/BT4FTwa/JC3iHXocEX18qlY3H8UEAykZ9GO9x2avtmigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD//T/v4ooooAKKKKACsfX9f0bwto9xr/AIguEtLO1UvLLIcBR/MkngAck8AE1sV+M37Snxm8XfETxhdeG9RR9P07Sbh4Y7LPPmRkqZJccM55x2UcDqSeTGYpUo36nxvGvF9PJ8L7Vx5pS0iul/N9l976eX3Z8QdV0T9or9nLVtZ8LLIPLEs0SPxIJLNy20gZGXQcDn7471+PlfoP+wl4xCX+tfDy8YGO4Rb2FT03LiOUY7llKfgpr4z+J/hU+CPiHrPhUDalldyJHn/nkTmM/ihBrxMa/aQjV+TPwLjrEPMcDhc4fxSThL1i9Pv1f3H66fsu+JT4m+CGiTSNuls0azf28hiiD/v3tr6Br4H/AGDNeNx4W17wyzf8et1FcqD6ToUOP+/X6198V7uDnzUos/oTgbH/AFnKMPVe/Kl/4Dp+gUUUV0n1YUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH/9T+/iiiigArlvGfjPw54A8PT+KPFNwLa0txyTyzMeiIOrM3YD+XNdTXw7+238PNY8QeErTxxpcskkejkrcW+4lBHIQPNC9NynAY/wB056LWGJqOEHKKPA4ozOvg8BVxWHhzSir2/X5b/I8v8F/tc6/4j+Otpc6w32Pw7eE2KWufljEhGyZz0L7wu49FUkD35b9tr4fr4f8AH9t42sU2wa3FiXHQXEICt9NyFT7kMa+KwSDkdRX6geM7n/hfP7IqeJn/AHup6TGJ5D1ImtMpMT/vxbnx7ivCpVZVqcoS33R/PGVZrWzrLcXgsVLmqR/exb8viS+Wy8z4i/Z+8VN4O+MWg6uW2xPcrbS+nl3H7pifYbt34V7J+254aGk/FiDXolwmq2cbsfWSImM/+OBK+Oo5JIZFliJVlIII6gjoa/RH9r1l8ZfCDwb8SkAzLtDEdvtcAlI/Ax49jWVH3qEo9tTx8kl9YyHF4V703Ga/9Jl+Bwn7C+sG0+Juo6Mxwl5p7MB6vFIhH/jrNX6r1+L/AOyXqJ0/486KpOFuBcQt/wACgcj/AMeAr9oK9bKZXpW8z9n8G8Tz5Q4P7Mmvyf6hRXjPxh+Pfw1+B+kjUPHF7tnlUmCzhw9zNj+4mRgf7TFVHTOeK/Lrxj+2z8fvjPr48G/BewbS1uWKxRWaefeuvctKRtQdyVVdvdiOa+wyzh3E4pc8VaPd6I+6zPiLDYV8k3eXZas/auivyr8Hfsea3Z2b/EP9qTxtcWicSTRLekYPpPdysRnsVQH2eull/a9/ZX+CmdI+FOk3GrSr8jXEKkBgOoNxcsZX9sAqeufXeeQc75MJJ1H5R0+9sxhn/JHnxcVTXnLX7kj9L6K+Y/hp8dfiJ8T4473TPh/f6dZSYxdajcR26EHoVUqZWHuqEe9fTMZcoplADYGQDkA98HAz+QrxMThJ0ZclTf1T/I9rDYuFaPNT29GvzH0UUVzHSFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB/9X+/iiiigAqnqOn2erafPpWoxia3uY2ilRujI42sp9iDirlFApRTVmfgr8WvAF18MviBqXg64y0dtJmB2/jhf5o29M7SAcfxAjtX15+w34ohupde+GWp4e3vIftccbdD0imH/AlZPwFdh+3R4AF5oumfEiyT95Zt9juSOvlSEtGT7K+R9XFfHP7Onig+EvjPoGoltsc1yLWT023AMXPsCwP4V81y+xxNun6M/lRYT+wuJ4wXwc2n+Gen4Xt6o808W6BP4U8U6j4Zuc+Zp9zLbknv5blc/jjNfcd3M3i39haOWT55dGnVfpsudg/KOQV4x+194e/sH44X9wi7U1KGG7Uf7y+Wx/F42NerfA2Q6z+yl480F/m+yefcgeg8hH/AJxE0qEOWpOn5MyyHA/VszxuXdHCrFfLVP8AA+avgFdmy+NHhmYHGb+KP/v4dn9a/Q39q39qrSvgPo40Dw/5d54nvY90MLcpboeBNKP/AEBP4iMnAHP5WeHvE83gnXrLxlbRCeTSZ47xY2OA5gYSBSewO3FeKXd343+M/wARDcXBfUtc166Cj1eSQgKo7KqjAHZVHYCvvvDrI4Ypzq1/gg/v/wCB3PU8PeIamFwFXD0fjlL7tPzO88AeAvil+1L8T5LdbiS+vrpvOvr+5JKQR5xvcjoB0RFx2VQAOP0W8VfET4KfsK+GW8CfDi0j1jxhPGpuZJPvZIyHuXXlV7pAhHHJxneYPiB4q8N/sK/BW1+G/gZo7jxlrUfmzXGASrEbXuWB/hU5SBDxwSc4bP5w/CD4VeNP2h/iUnh+xlkkluXNxf302ZPKjLZklkJOWYk4AJyzEDI5I/Smljk61Z8uHjstua3V+XZH3ivgWqNFc2Ilu9+W/Refdnc6TY/H/wDbN8ffZ57mXUGjO6SSUmOyso2PUKBtTPQBQXfHfBNfdUPhj9lr9iOwivPFbDxH4vKh0Uosk4bHDRxElLdM9HY7yM4LdBkfG746+DP2UPCCfAX4AxxrrEaD7XeEK5gdxy8hxiS5cc4I2oMcYwo+IPgR8BvHv7TXjeeeW4lWzSTzdS1SfMhBc5IBY5klfqAT7kgdc3fE0XVrP2WHWyWja8+yfRLctWw1ZUqS9riHu3qk/Lu13ex73q/7W/7Tv7QfiP8A4Q/4OWbaWkucQ2ADzBDxumuZAAgH99RGB619OfCr9i7xouzXPjZ401W9uXO9rKyvZ1TJ5IknZt7577AvPRjX2X8L/hN4F+D3hpPC/gSyW1hGDLIfmlncDG+V+rN+g6KAOK9Hr4zH8RpJ0sDBQj3tq/n/AE/M+1wPDsm1Vx03OXrovl/S8jm/DHhDw94OsBp3h63MMfGS7vLI2Om6SRmdvxY10lFFfLTm5O8ndn08IKKtFWQVi+JPEGm+FPDt/wCKNZYpaabby3U7AZIjhQuxA7nA4FbVfJX7b/iv/hFv2cdbSNts2ptDYx+/myAuPxiV66svw3tq8KPdpHNmGJ9jQnW7Js5D/h4X+zx/f1H/AMBf/sqUf8FCf2emIVX1Ik9B9l/+yr8Iq9e+APhP/hN/jV4Y8Msu+O41GFpV9Yom8yX/AMcVq/VK/BOApwdSV7JX3/4B+VUONsfUnGmrXbtt/wAE/pfjfzI1kwV3AHB6jPY0+iivx8/YAr5M8e/trfAf4e+KLnwhqt7cXV3ZnZMbSLzY0fum/IBZejAZweDyCB84ftjftkjQxdfCb4SXWb7mLUNRib/UdmhhYf8ALTs7j7nQfNkr+QRJYlmOSa/QuHuDPbU/bYu6T2XX1Z+fcQ8Z+xqexwlm1u+noj92/wDh4X+zx/f1H/wF/wDsqP8Ah4V+zyeN+o/+Av8A9lX4U29vcXlxHaWkbSyysEREBZmZjgAAckk8ACv2O/ZL/Yot/B/2b4lfF+3WbVuJbPT3AZLXusko6NL6L0Tqct93tzjh3K8FS9pVbv0V9X+Bw5PxFmmNqezpJW6u2i/E/Qnwl4kh8X+HrXxJbWtzZxXaeZHFdx+VNtPQsmSVyOQDg46ivCv2v/G114C/Z81/VtNne3vLhI7SB42KuGnkVGKsMEEJuII54r6Yr8xf+CmPiz7L4P8ADfgiJub27lvHA9LdAi59iZjj6e1fF5BhlXx9OCWl7/Jan2mfYl0MDUm3ra3zeh+Wv/C0/id/0Meqf+Bk/wD8XX0J+yrr/wARvHvx/wDDWg3uvalPbLc/apke6mZGS2VpiGBfBVigUg8HOK+P6/ST/gmr4T/tD4k674xkXKaZYLbqfSS6kyCPfbEw/Gv2HPnTo4OpUSW3bvofj+QqpWxlOnd79+2rP2cooor8DP3sKK+SPij+2t8Dvhhf3WhTXc2ranZyPDLa2UZbZIhKsryOUjBDAg4YkelfB3xB/wCCj3xO13fafD7TbXQoTwJpf9KuB7gsFiH0MbfWvocBwtjcRZxhZd3p/wAH8D57H8U4LD3Up3fZa/8AAP2oorwD9l698Xav8DdD8ReOr2XUNU1SN7yWaY5JWaRmiAA4VRHtwAAPSvf68XFUPZVJU73s7fce1hq/tacaiVrq/wB4UUUVgbhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH/1v7+KKKKACiiigDgvij4Qj8e/D3V/CLgFr22dY89pV+aI/g4U1+CkE1xYXaXERMcsLhlPQhlOR+Rr+iivwq+PHhoeEvjB4g0WNdkYu3mjXsEnxKgHsFcCvEzin8Mz8D8bss92hjY7q8X+a/U+kf22Eh1n/hEPHlqPk1SwcAj+6Nkq/8Ao04qt+yhIbv4bfEnR35V9NBA/wB6G5U/0qL40S/25+yr4A8QHn7M4s8/7kbx4/8AINVf2RJNujePUb7p0gk/gsv+NY74lS7r9Dwfac3E8K62qQ5v/AqTv+J8N6ucaVdH/pk//oJr6r/YH8CaLoVn4g/aO8ZgJYaBDLDbOwztZY99xIv+0sZCLjrvYda+T9cbZo10f+mTj8xivtD483J+DH7E/hD4WWR8q88RiOa6A4YqcXU4J6kiR40/3eOlffcDuUsFPDQetSaXySu/wObwvpxgq2LmtKevz2X4n59fFb4j678XfiFqPjvXCTNfykxxZyIohxHEvsq4Huck8k1+nMM1n+w3+zHHcKiDxv4oAOGALJKVzyD/AAWqN05Blb0aviv9jH4axfEr49aXBfRiSy0gNqVwpGQRAR5YPYgysmQeozUv7Z3xUl+J/wAcdSjtpS+naGx061XPy/uiRK47HfLuwe6hfSv1HHUI18RTwEV7kVzS/KKPtsBXlh8PUx8n+8k+WP8A7czx34beAfFnxv8AiRa+E9Ldp7/VJmee4ly+xSd0s0hPJwMk5OWPA5Ir+jb4Z/Djwx8J/Bll4G8JQ+VaWa4LHG+WQ/fkkPd2PJP4DAAA+Jf+CeHwgh8MfD64+K2qRD7fr7GK2JHKWkTY47jzJASfUKhr9Fq+F4zzl16/1eD92H4v/gbH3PBmTKhQ+sTXvT/Bf8HcKKKK+LPtAooooAK/LL/gpp4r8rRvC/geJs+fNPfSr6eUoijP4+ZJ+VfqbX4N/wDBQHxX/wAJD+0LcaSjbo9Fsre0GOm5lM7fjmXB+mO1fWcFYb2mPjL+VN/p+p8nxrifZ4CS/maX6/ofEdfe3/BOzwp/bfx0m8RSrmPRdPmlVvSWYrCo/FHf8q+Ca/Y7/gmh4U+x+BvEfjWRcNqF7HaIT/dto95x7EzY+o9q/SuK8V7LAVH30+//AIB+bcJ4b2uPprtr93/BP0yr8tf2xv2yv7J+1fCX4R3X+lfNFqGoxN/quzQwMP4+zuPu9F+bJWv+2N+2X9i+1fCX4RXf7/mLUdShb7nZoYGH8XZ3H3furzkj8ka+T4U4TvbFYpei/V/oj6viviy18LhX6v8ARfqwJzya1NF0XV/EerW+haDbSXl5duI4YYlLO7N0AA61q+C/BXif4heJLbwl4Ps3vr+7bbHGg/NmJ4VVHLMSAByTX7yfsyfsq+GPgJpI1W/2ah4luUxcXmPliB6xQZGQnq3DP3wMKPr8+4gpYGGusnsv8/I+RyHh6rjp6aRW7/y8zhv2U/2OtI+D1vD438eJHe+J5Fyi8PFZBh92M9Gl7NJ26Lxkt92UUV+J5hmFXFVXVrO7/rY/a8Bl9LDUlSoqy/rcKrT2VndENdQpIR03KDj8was1+SPiL/gpR4h07xBfafpHhy0uLSC4ljhladwXjVyEYgLjJUA8V0ZXk+Ixbaw6vbfoYZnnGHwiTxDtfyufq7/ZGk/8+sP/AHwv+FWYLS1tQRaxJFu67VAz+QFfkD/w808Zf9CtZf8AgRJ/8TX6xeDdW1LXvCGl67rEC213e2kM80KElY5JEDMgJ5IUnGT6VpmmSYrCRTxCtfzuZ5ZnWFxcmsO728rHSVla7q9p4f0S816/OILGCS4kP+xEpdv0Ffnp8fv269Y+EPxU1H4eaFoltqEWnCIPNJM6kvJGsjDCgj5dwH1Br5n+In/BQbxl4+8Dar4JOgWtkuq20lq80czsypKNr4BABypI/GvQwXCGMqqFTl912e62Z5+N4uwVJzhze8rrZ7r5HwTrGqXeuavda1fndPeTPPIfV5GLMfzNQWFjc6nfQ6bZLvmuJFijUd2cgAfiTVSup8D+JR4M8ZaV4vNst4dLuorsQOSqyNC4dVYjPBIGa/bJXUXyI/E42lJc7P6evC+hW3hbwzp3hmy/1OnWsNrH2+WFAg/QVu1+PP8Aw808Zf8AQrWX/gRJ/wDE19Sfsr/tWeKv2h/FOp6PqWiW+nWmnWomaaKV3YyO4VEwwAwRvOfavw7HcL42jCVetHRb6o/ccDxPga040KMtXto/8j7ior5H/au/aN1/9new0TUdH0qHU49TknjkM0jJ5bRhCmNoOdwZs59K+Mf+HmnjL/oVrL/wIk/+JrPA8MYzE0lWpRun5o0x3E2Dw1V0a0rNeT/yP2Gor4o/ZU/at1b9obWtX0fV9Kg01tOgimQwyM+8OxVs7gMY4/OvtevLx+AqYaq6NZWaPUwOOpYmkq1F3TCiiuC+KHxA0n4WeANV8fa1zBpsDSBM4Mkh+WOMH1dyFH1rnpUpTkoRWrOirUjCLnJ6I72ivx5/4eaeMv8AoVrL/wACJP8A4mj/AIeaeMv+hWsv/AiT/wCJr6f/AFKzD+Rfej5j/XTL/wCf8H/kfsNRXjXwA+KVx8ZvhPpnxFvLZLOa+M6vBGxdUMUzxDBIBOQoP417LXzVehKlOVOe6dn8j6WhXjVhGpDZq6+YUUV8oftT/tN237O+j6aLC0j1LVdTlbZbyOUVYIx88jFQT94qqjvzz8prTB4OpiKio0ldszxmMp4em6tV2SPq+ivx5/4eaeMv+hWsv/AiT/4mvpb9mL9qz4g/tC+MLnSZPD1rY6Xp8Pm3V0kruVZ8iKNQQBucgnn+FW717OL4VxtCm6tWKSXmjxsJxVgq9RUqUm2/J/5H3hRXhXxx/aH8AfADTbO98a/aJZdR8wW0Fqgd5PK27+WZVUDevJbvxmvz58W/8FMvEcztH4E8M21so+7JfzPMT7lIvKx9N5+tc+X8O4zFR56UNO+yN8w4iweFk4VZ69t2fr3RX4Kal+3/APtH3zl7W+s7IHtDaRkD/v75hqjaft5/tLW0okm1i3uB/dks7cD/AMcRT+te2uAsba94/e/8jxHx7gr2tL7l/mfvzRX48+BP+Clni60uEg+I+g217bkgNLYM0EoHrskMiufYFB71+mnwo+M3w9+NOgnX/AV8LhY8CeBxsngY9FkjPI6HBGVODtJxXh5lw/i8IuatHTutUe5lvEGFxb5aMtez0f8AXoepUUUV4p7QUV8I/tSfthap8APG9l4N0bSINSa4slu5WllZNm+R0VQFB/uE/jXzP/w808Zf9CtZf+BEn/xNfR4ThTG16aq046PzR87i+KsFQqOlUnqvJ/5H7DUV86/s9/G69+LXwmk+KPjC1t9FgWedciQ+UIYAN0jO+MfNuB7ACvj74zf8FGbPTL6XQ/gtYR3wjJU6jehhEx9YoQVYj0Z2X/dI5PNhuH8VWrSoQjrHR9l8zpxPEGFo0Y15y0lt3fyP1Lor8BW/bz/aXa4M41mBVJz5Ys7faPblC361+23wj1jxJ4h+GGgeIfGBRtTv7GC5uPLXYoaZA+NvOMAgH3rXOOHK+Bip1mte3/DGOT8R0MdJwop6d/8Ahz0Sio5poreJp52CIgLMzHAAHJJJ6AV8IfFz9v8A+FPgO4l0fwTE/ia+j4LwOI7RT/13IYvj/YUqf71edgctr4mXJQjdnpY7MaGGjzV5JI+86K/C7xJ/wUP+PerzsdEXT9Jiz8qwweawHu0zOCfoo+lcvaft6ftLW0okm1i3uAP4ZLO3A/8AHEU/rX08OA8a1duK+b/yPmJceYFOyUn8v+CfvzRX5BeAP+ClniO3uI7b4naDBdQEgNPpzNFIo9fKlZ1c+29BX6bfDH4s+AvjB4fHiTwFfpeQAhZU+7LC5GdskZ+ZT6dj1BI5rw8zyDFYTWtHTutV/Xqe5luf4XFu1GWvbZ/16Ho9FFFeMewFFFFAH//X/v4ooooAKKKKACvyY/bg0X+z/i3baqg+W/0+JyfV43dD/wCOha/Wevzg/b6sFW68MaovV1u4m/4CYmX/ANCNefmcb0Wfmvi1hlUySpL+Vxf42/U8612X7f8AsS6Krf8ALlrLqPxac/8AtSqf7MReHwR8Srxf+WWhSc+/lzEfyqOWTP7F0StxjX8D3+Qmm/AdzpfwN+J2sPwslnb2yn3kEqEfjvFeZB2qQfl+jPyHDT/4UsLUfShf7qcv8j46vLH+1Fi0kHBvJoYB/wBtZFT+tfS3/BSbWfM+J+geFYeINP0oSqo6K08zqRj/AHYlr5vhvo7DxHocshwo1O1Zv91ZAx/lXsX/AAUSWQftAoX6HS7Yr9N8n9c1+peHGGsqUn1c2vuijr4KjyZLXkvtTj92p6b+ws0fgP4SfEb4yOAZbG28uEkfxW8LzFR/vM0Y/AV+bWl6fqHiTXLfSrXMt1fzpEm4klpJWCjJ68k1+iHwwm/sn/gnb43vYPvT6mUbH/TR7OI/oa+Wf2V9Hj1z9ojwjZSjITUI58H1twZh+qV+g4KryzxeJfR2/wDAY/8ABPrsdS5oYTDLqr/+BSP6IfCfhyw8H+F9O8KaUNttpttFbR8Y+WJAgP1OMn3roKKK/EZScm5M/bYxUUooKKKKkoKKKKACv5hPi74r/wCE5+KXiHxcrbk1DULiaM9f3ZkPlj8EwK/op+N/iv8A4Qf4QeJfFStsktNOnaI/9NWQrF+blRX8yNfpvh5htKlZ+S/V/ofmXiHidadFeb/RfqFfaFz+0xP4C/Z50f4JfC6Voby5ikm1fUEyrK1w7P5EJ6hghVXftjC85I+NIYZrmZLe3RpJJGCqqglmYnAAA5JJ6Coq/QMVgqdflVRXSd7eZ+f4XG1KHM6bs2rX8gr0b4W/Crxn8YfFkPg/wTame4k+aSRsiKGPPMkrfwqPzJ4AJIFec1/Rv+y74Q+Fnhn4QaXf/ClN9nqcKTzXMmDPNLjD+cw/iRty7R8qkED38jiTO3gaKnGN29F2Xqevw1kax1dwlKyWr7/In/Z+/Z18GfADw3/Z+iqLvVLlR9t1B1AklI52qOdkYP3UB9ySea+gqKK/EMTiqlabqVXds/b8NhqdGCp0lZIKKKKwNzzb4x+K/wDhBvhR4i8Wq2ySx0+4kiP/AE12ERj8XIFfzEV+8H/BQTxX/wAI/wDs+TaPG2H1q9t7TA67UJnb8P3QB+uO9fg/X65wBhuXDSqv7T/L+mfkfH+J5sTGkvsr8/8Ahkdr8NvC7eNviFofg9QSNTvre2bHZZJFVj+AJJr+olVVFCIAFAwAOABX4F/sGeFP+El/aM069dd0ej29xfOO3CeSh/B5VI9xX77V4XiBiubEQpLor/f/AMMe94f4blw86vd2+7/hz+bP4taN8QPHPxQ8QeLl0TUGTUNQuJoz9ml/1bSHyx93smBXkWreH9e0FkTXbK4smkBKCeNoywHXG4DOK/qpr8M/+CiXiz+3PjrF4dibMei6fDCy+ksxMzH8UdPyr3+G+KJYqqsMqdkl37fI+f4k4XhhaTxLqXbfbv8AM+C62dJ8O+INf8z+wrC4vfKxv8iJ5Nu7ON20HGcHGeuKxq/bX/gnD4T/ALI+Duo+KpVxJrGoMFPrFboEX/x8yV9Dn2bfUsO61rvRWPnshyn67iFRvZau5+Pf/Cu/iB/0AtQ/8BZf/ia/Xr/gnP8AD/VPC3gDXvEmuWktnc6lfJAEnRo3MVtHlWwwBwWlYfhX6K0V+Z5zxjPGUHQ5LX8/+AfpuTcHQwddV1O9r9O/zPz7/wCCj+ifb/gjp+roMtYatESfRJIpUP8A49tr8Q6/oZ/bU0T+3P2avEsajL2yQXK+3lTxsx/743V/PNX2HAdbmwTj2b/Rnx3HlHlxql3S/VH6Ef8ABNzU/svxt1PTXOFutHlwPVkmhYf+O7q/bivwE/YN1P7B+0to1tnAvILuE/hA8n80r9+6+Q47p8uOv3S/VH2HAlTmwNuzf6P9Qr8hf+Cjfxi+36vYfBfRpf3VjtvdQ2nrK6/uYz/uoS5HQ71PUV+o3xF8c6P8NPA2qeO9dOLbTIGmZc4LsOEjH+07kKvuRX8y3i/xTrHjfxRqHi/X5PNvNSne4lbtuc5wB2UdAOwAFdHAuVe1rvEzWkdvX/gL9Dn46zX2VBYaD1lv6f8ABf6nOUV7r4Q+Dt3rvwQ8W/GW9DLa6I9rbW3YSTzTxLIfcRxuMj1cHtXhVfq1LEQm5KL+F2frZP8AU/KKuHnBRcl8SuvS7X6H7x/8E+r/AO2fs629vnP2W/uovplhJ/7PX27X53/8E17/AM74M6xp5OTBrMjfQPbwY/VTX6IV+EcSQ5cdVXmfu/Dc+bA0n5EF1dW1lbSXt46xQwqXd2OFVVGSST0AHJr+bn9o34u3Pxr+LGpeMtzfYg32awRv4LWIkJwehckuw7Mxr9UP2/8A4z/8IL8NU+HOjy7dS8Shkl2nmOzX/Wn28w4jGeq7/Svw8r7ngPKeWDxc1q9F6dX8/wBD4bjzNuaawkHotX69Pu/Umt7ee7nS1tUaSWVgiIoyzMxwAAOSSegr+jT9mH4MQfBD4UWXhu4Rf7Uuv9K1Fxzm4kAyme6xrhB2OCe5r8y/2APgh/wnPj9/ihrsO7TPDrjyNw+WS9Iyn18kfOfRilft1XBx3nHNNYOD0Wr9eiO/gTJ+WDxk1q9F6dWfir/wUm8Sf2h8WdH8MxtlNO00SMPSS4lbI/75RDXxP4T+FfxK8dgP4N0G/wBTQnHmW9vI8Y+rgbR+Jr+iK++Avwo1fx7dfEvxBo8OpavciMeZdjzkjWJAiiOJsovTOdu7JJz6euxxxwxrFEoVVGAAMAAdABWOE40jhcNChQhdpat9+v8AWhti+C5YrFTr1p2Tey7dP61P55rT9iz9py9iEsPhaRQf+elzaxn8nmBrgvG37PHxt+HVo+o+L/Dd5a20Yy86qJokHq0kJdFHuSK/pZprKrqUcAqRgg8gilT8QcSpe/CLXzX6v8h1PD7DcvuTlf5f5L8z+UGvUvg58V/EfwY8e2Xjjw5I2YGC3EOcLPASPMiftgjof4Www5Fe2ftv/Dfw78NPjpPZ+FoVtbTVLSLUBBGMJE8jOjqgHRS0ZYAcDOBgYA+Qa/TMPVp4vDqbXuyW3qfmmIpVMJiHBP3ovdeR/VZoes6f4j0Sz8Q6S/mWt/BHcQv/AHo5VDqfxBFalfO37Jd5cX37OPhKa6JLLZeWM/3Y3ZF/8dUV9B3E8NrA91csEjjUszHoFAySfoK/n7F0PZ1pUl0bX3M/oDCV/aUY1X1Sf3o/n0/ba8TjxN+0hr5ibdFp/k2Se3kxLvH/AH8L18oV03jTxFN4v8Yar4ruM+Zqd5PdNnrmaRn/AK1zNf0Jl+H9jQhS7JI/nvMMR7avOr3bZ9K/Ef40X83wm8NfAnwtMYtH020S4vyh/wCPm7uGNwyse6QtJt2/3wSc4XHzVX0J+z9+zj42/aB157LQsWemWhH2u/lUmOPPRVUY3yEchQR6kgYr9cfBv7B37PHhexSLVtOm1u5A+ae8nkGT3xHEyIB6ZBI9e9eDjs/wWXfunrLdpb3et2e/gsgxuY/vVpHZN7WWlkfhb4P8PXHi7xbpfhS0z5up3cNqmOu6aRUH86/qGurrRvC2hPeXskdnYafCWd3O1I4ol5JJ6BVFeD6R+yV8AfD3imw8ZeHtBWx1DTZlnheKabbvXplGdkODz0zmviX/AIKH/Hi4a7i+BXhubbGipc6qynlmOGhgPsBiRh3ynoRXyOY4xZ1iaVGgmkr3v07n1uXYN5Lhqtau027Wt17HgH7U37XniH40ajP4U8ISyWHhaJtqxjKSXmP45u+zusfQcFstjb8T0V+k37DP7LmlePy3xb+IlqLjSraQx2FrIMx3EqHDySA8NGh+UL0Zs54XB+8q1MNlmFulaK+9v/M+DpQxOaYqzd5P7kv8j478Dfs+/Gj4k2q6h4M8OXl3bP8AdnKiKFv92WUojfgTXT+J/wBk39onwhp76rrfha68iMbna3aK5KgcklYHkIA7nHFf0aRxxxRrFEoVVAAAGAAOgAp9fBS8QsRz3jTVvnf7/wDgH30PD3D8lpVHf5W+7/gn8n9erfBr4veKfgp45tfGnhmQ/uyFubckhLiAn543HuOVOPlbBHSvpv8A4KB/DHRvAvxctvEegQrbweIbY3EsaDC/aY22ysAOBvBRj6sWPevg6v0fCYiljcMpte7Jbfmj84xeHq4LFOCfvRe/5H9T/hLxPpHjXwxYeLtBk82z1KBLiFu+2RQQCOcEZwR2ORXQ18L/APBPTxPca98AP7KuWLHR9RuLVM8kRsEnH4bpWA+lfdFfg+Z4P6viJ0ezP3jLMZ9Yw8K3dBRRRXAdx//Q/v4ooooAKKKKACvgT9vaJT4Z8PT91upl/wC+kU/0r77r4G/b1kA8L+H4e7XUx/JB/jXHmH8GR8N4lW/sPEX7L/0pHzprMn2X9jvSID1uvEEjj/dSKUH9QKd4ec6H+yDr91J8ra1rUNqnusSxy/zRvyrP+JMn9mfs4fD7RW+/dS6hdsPYS7VP4h6k+Jsh8Pfs7+A/CJ4lv3utUlHsXKxH8Uc/lXiN2u+0V+Nv8z8DrVPZzqTf2MPFfOcYq3/k7PhTx3ePFc2sULFXjzJkdjkYP6Gvrr9vl4/E2reCPiraj/R/EGhRlSOhKN5pH1AnANeY/Hr4Kan4S+Gvg/4qqpMGswPFc+iSmSSWA/8AbSE8f7h9a7WW5/4W/wDsUrbp+91b4cX4Ljq5sLokAj2DHHssVfvHDFKNLA4OtHZXT/7ev/7dY+s4cwM6OAnhKis5RU1/6V+Tf3HUfCGb+3P2B/iH4cT5pbLUI7oj0j3Wsg/WJjXhv7Gc8dv+0z4VkkOAZp1/FraVR+pr1P8AYev4PEM/jT4J3jhV8WaNKkG48efErqMeh2ys3/AK+ZPg3r7+AvjN4d13UMwjT9Ut/tAbgqglCyg+4XcK99UX/tdBddV/29G35pntOsv9kxD6aP8A7dlf8mj+mqiiivw8/bwooooAKKKKAPhX/goX4r/sH4BHQo2w+tX8FuV7mOPM7H6Bo1H41+FNfp//AMFMvFf2nxV4Z8ERtxaWs17IB3Nw4jTP0ELY+tfmBX7dwZhvZ4CL/mu/6+SPxLjPFe0x8l/LZfr+p9Lfsf8AhT/hL/2i/DNlIu6K0uDfOew+yo0qk/8AA1UfU1037Z/wR/4U/wDFia80iHy9F17fd2e0YWN8/voR/uMcgdkZRXuP/BNHwp9u8f8AiHxnIuV06xjtVJ7PdSbsj3CwkfQ+9foX+1B8GIfjd8Jr3w5bIDqlp/penOcZE8YOEz6SLlD2GQe1eTmXEP1fN1Fv3bJP563+V18j1st4e+sZQ5Je9dtfLS3zs/mfzj1+k3/BPj47/wDCMeKJfg14jmxY6w5lsGY8R3eOY+egmUcf7YAAyxr83p4Jrad7a5QxyRsVZWGCrA4IIPIINSWd5dafdxX9jI0M8DrJHIhIZHU5VgRyCCMg19hmmXwxdCVGfX8+jPj8rzGeErxrQ6fiuqP6t6K+e/2ZfjXa/HL4W2niWRlGqW2LbUYhgbbhAMuB2WQYdewyV6qa+hK/n7FYadGpKlUVmtD+gMNiYVqcatN3T1CiiisDc/In/gpp4r87XfC/geJsfZ4J76RfXzmEcZP08t8fWvy1r6z/AG3vFX/CU/tHa4sbbodNENjH7eVGC4/CVnr5Mr994cw3ssDSh5X+/X9T8C4kxPtcdVn52+7T9D9YP+CZXhT/AJGnxxMv/PvYwt/31LKP/RdfrBXxt+wb4U/4Rn9nTTrx12S6xcXF8478v5SH8UiUj2NfZNfkHE+J9rj6kuzt92h+v8MYb2WApx7q/wB+oV/M18efFn/CcfGbxN4oVt8dzqE4iPrFGxji/wDHFWv6Jvit4r/4Qb4Z6/4wDbX06wuJ4/eRIyUH1LYA+tfy/kknJ6mvrfDzDa1Kz8l+r/Q+S8Q8VpTorzf6L9RK/pP/AGafCf8AwhPwG8K6Ay7JFsI55F7iS5zO4PuGkIr+d3wF4Zl8aeONH8IQ53apewWvHbzZFQn8Ac1/UfDFFbxLBCoVEAVVHQAcACtfEPE+5Torzf6L82ZeHmG9+pWfkv1f5Ikooor8vP1A81+Mui/8JH8I/E+hAbmutKvI0H+2YW2n8Gwa/mJr+ryWKOeJoJhuRwVYHuDwRX8rXiDSpNB16+0Ob79lcSwNn1jYqf5V+n+Hlb3atP0f5n5h4h0fepVPVfke1fsqan/ZP7RPhG6zjfqCQ/8Af8GL/wBnr+j+v5ffhTqf9i/FHw3rOcfZNVs5s/7k6N/Sv6VvHfjLR/h74O1Lxtr7bbTTIHnk9W2jhF/2nbCqO5Irk4/oOWIpOK1at+P/AATr4ArqOHqqT0Tv+H/APzB/4KO/GLzrnT/gpo0vyw7b7Udp/iIPkRH6AmQj3Q9q/LnSdL1DXNUttF0mJp7q8lSCGNerySMFVR7kkCtrxx4w1j4geL9S8a6+++71Od55PQFjwq/7KjCqOwAr7l/4J5/B/wD4S34iXHxP1aLdY+Hhtt9w4e8lBA9j5aZY+jFDX2FGEMry/wB77K+9v/g/gfH1pzzXMfd+0/uS/wCB+J9o/FP4S6f8M/2ItW+HNgFZrDTklndf+Wk6ypNLJ68uDjPQYHavwfr+mX4+2H9pfA7xhZgZLaNfFR/tLA7L+oFfzNV5HAmJlUo1ZTerlf70evx3ho061JQWijb7mfr7/wAEyL/zPDPi3TM/6m6tZcf9dEkX/wBkr9OL+/s9LsZtT1GVYbe2jaWWRzhURAWZiewAGTX5Kf8ABMa/8vXPF+mZ/wBdBZy4/wCubTL/AOz17T/wUH+M/wDwh3w/h+FujS7dQ8RAtcbTylmh+b/v642e6hxXy+eZZLEZxKhD7Vvusrs+oyPMo4fJ415/Zv8Afd2R+WXx/wDixefGj4qan44nLC2kfybONv8AlnbR5Ea47EjLN/tMa808N+HtX8W+ILLwxoEJnvdQmSCGMfxO52j6Dnk9hzWJX6q/8E6/gh59zc/HHX4fki32mlhh1YjbPMPoP3an3fuBX6VmOMp5fhHJLSKsl+R+a5dg6mYYxRb1k7t/mfo98HfhjpHwf+HOmeAdHwws4/30oGDNO/zSyHv8zE4B6LgdBXptFfk7+2L+2XrWn61d/CX4R3RtfsrGHUNRiOJPMHDQwMPu7Dw7j5t2QpAGW/GMvy+vmGIcY6t6t/qftGYZhh8vw6lLRLRJfkfffxI/aF+DnwmZrfxvrkFvdKM/ZY8zXHPTMUYZlz2LAD3r5C8Sf8FLPhrZSNH4W0DUNQ28Bp3jtlP0wZWx9QD7V+M800txK087F5HJZmY5JJ5JJPJJrqvB/gLxr8QdR/snwTpVzqlwMFlto2faD3cgYUe7ECv0fDcDYKlHmrty762X9fM/N8TxzjasuWglHtpd/wBfI/Rq+/4KceIJGJ03wjbxDsJbx5P5RJWOf+CmPj/Py+GtPx/11lryDRP2BP2j9WiWW70+007d2ubqMkfUReZj+ddV/wAO4vjzt3NfaKPrcTf/ACPSeEyGOl4/e3+pSxefS1tL7kv0Pmz47/GrW/jz43XxtrtpFZSx20dqsUJYqEjLNnLc5Jc14vVi7gFrdSWwkWURuy70JKtg4ypIBweoyK2fCWgzeKvFemeGLbPmaldw2q467pnVB+pr7OlSp0aajBWij4yrVqVqjlN3k2f0hfALQm8N/BLwpo0g2yRaVamQejvGruP++iay/wBpbxT/AMIb8BPFWuq2xxp8kEbeklziBCPcM4xXtdvbw2lulrbqEjjUIqjoABgD8q+Av+Cjfir+yPgrZeGomxJq+oxqy+sUCtI35P5dfhGWU3icfC/2pX/G7P3fM6iw2Anb7MbL7rI/EKtnw7oOp+KtfsvDOix+beahPHbQp6ySsFUfmaxq+3f2APBUfin4/Q6xdJvh0K0mvOenmHEMf4gyFh7rmv3HMsYsPh51n0Vz8Ny3BvEYiFFdXY/Zr4R/DLQfhB8P9O8B+H1Hl2cY82XGGmmbmSVvdm/IYA4Ar0miiv54q1ZVJOc3ds/oelSjCKhBWSMzWtWstA0a713UW229lDJPK3okalmP5Cv5evG3izU/Hfi/U/GWsNuudTuZLl+c4MjE7R7KOB6ACv6E/wBq/VpdF/Z08W3kJwz2LQfhOywn9HNfziV+neHuGSp1K3W9v1/U/MfELEt1KdHpa/6foFfrd4G/4KAfCDwB4O0zwVonhzU1tdMt47dOYAW2DBY/P95jlmPck1+S0ME9zIIrdGkY9lBJ/IVd/sbWP+fSb/vhv8K+xzTKcPi0o19l52PjsrzbEYRuVDd+Vz9h/wDh5f8ADX/oXtT/AO+of/iqP+Hl/wANf+he1P8A76h/+Kr8eP7G1j/n0m/74b/Cj+xtY/59Jv8Avhv8K8b/AFMy7t+LPZ/1zzHv+CPqj9rT9o3Qv2htZ0a+0CwuLCHS4ZY2W4KFmaVlORsJGMKK+Ra0v7G1j/n0m/74b/Cj+xtY/wCfSb/vhv8ACvosFhqWHpKjS2R87jcTVxFV1qu7P2X/AOCakDr8INbuT919YdR9Vt4Sf/QhX6L18ZfsFeGbjw7+zrY3F1GYpNTu7q7KsMN9/wAkZB9RECPbFfZtfhvEdVTx1Vrv+Wh+5cOUnDA0k+356hRRRXintH//0f7+KKKKACiiigAr86P2+r7jwvpqn/n7lYf9+Qv9a/RevzL/AGvYZPGHx08NeBLckmWCCHjs9zcMp/8AHQprhzJ/uml1PzzxSm/7GnSjvNxS/wDAk/0PHPj5BOk3gn4f2alprHQ7NGQdftFySzLj3+X86vfH6wk8RfGTSvhXoJ3jSbWw0SHb93eAMnHsXwfpXUQS2Hjz9ri9166IXS9BuJLqVhyqW+lIFU4/ulo1/Orn7K+i3fxN+POo/EnVU3JZNNfPnkefcswjX8AXYf7oryeTmlyrq/wR+LPBfXMTLC0/+XtVRX+CmrN/c0/+3T9AvH3wj8MeP/hXcfCfUV2WL2qW8LgAtC0QHkyL7oVBx36Hgmvw6+Herav+zD8bL7wb8TbUtpl0kmlazb8lJrOcY81P7wwRIh6lcjjJr+hivlH9qT9mPRfj/wCHFu7ApZ+I7BCLO6bhXXr5M2OShPQ8lCcjILA/p3DWdQoc2GxH8OX4Pv8A16n9AcRZHKrGNfCr34bea7f16H43Xttrv7MPx5tdR0+UXS6Tcx3lnOh+S8sZRlGVhwVmhYq2MgEsM8Vt/tYeD9M0X4nHxt4WIk0HxhCusWEijjFx80yHsGWTOV/hBAqlrMGsrpx+BvxghbS9a0FmXSbq5woiDnLWkzng28p+aGXJWNjnPlsxXR8D6ovjbwVcfs5eOWFnqFncPceH57j5PIvTxLZSFvux3PRc4Cy4JyDx+oJyjKOIerSs/OPSS9N/K78r/mTUXGWHWibuvKXWL9dvkvO37W/s2/EqP4r/AAY0PxY0nmXfkC2vOeRcwfJIT6biN49mFe51+Iv7C3xql+FHxGuvhR40LWljrU3lATfJ9mv0OwBgfu+Zjy2zzuCZ4Br9uq/JOJMreFxUor4XqvT/AIB+t8OZosVhYyfxLR+q/wA9wooorwD3gooqpqF9baXYT6netsht42lkb0VAWJ/ACmlfRCbtqz+fL9tLxWPFn7R3iGSJt0OnvHYx+32eNVkH/f3fXyvW54m1258UeJNQ8S3v+u1G5lupP96Zy5/U1h1/RuBw3saEKXZJH8547E+2rzq922fuJ/wTo8Kf2L8ELnxJKuJNZ1CWRW9YoFWJR+DiT86+/K8a/Z48Kf8ACE/A/wALeHGXZJFp8Mkq+ksw82Qf99u1ey1+CZ1ifbYupU7t/d0P3rJcN7HCU6fZL/gn4e/t+fBH/hAviIvxJ0OHbpfiNmaXaPljvQMyD280fvB6tv7CvgGv6avjZ8LNL+Mvw01PwFqW1Guo91vKRnyrhOYpPXAbhsdVJHev5qtd0TVPDWtXfh7W4Wt7yxmeCeNuqSRsVYH6EV+q8G5x9Yw3spv3oafLp/kflXGWT/VsT7WC92evz6/5n0j+yN8c3+CPxShudTlK6Jq2211AH7qKT+7mx6xMcn/YLAcmv6GEdJUEkZDKwyCOQQe4r+UGv3D/AGCfjv8A8LC8BH4a+IZt2r+HY1WIsctNZfdQ+5iOIz7bO5NeRx1kvNFYymtVo/0f6Hr8C51yyeDqPR6r9V+p9+1BdXMFlbSXl0wSKJS7segVRkn8BU9eC/tQeK/+EM+AHirW1bY5sXtoz3D3RECke4Mmfwr81wtB1asaa6tL7z9KxVdUqUqj6Jv7j+d3xl4in8X+LtV8V3WfM1O7numz1zNIzn+dc6iNIwRAWZjgAckk02vZP2evCn/CbfG/wv4bZd8c2owvKvrFC3myD/vhGr+iqs40aTl0ivyP51pQlWqqPWT/ADP6J/hv4XXwT8PtD8HqADpljb2zY7tFGqsfxIJNdrRRX841KjnJyluz+jqcFGKjHZHx1+3hrz6L+zdq1tGdrajPa2oPfBlWRh+KxkfSvwEr9zf+Ci1vcTfAGCSEZWHVrZ5PZTHMv/oTCvwyr9h4DglgW11b/Q/HuPJt45J9Ir9T66/Ya8OReIf2kdFe4G6PT0uLwj3SJlT8nZT+Ff0DV/OB+zF8XLD4KfF/T/GmsxtJp5WS2uhGMusUoxuUdyrBWx3AIHJr9w4v2pP2eZtPXU08X6cI3G4BpdsmPeMgOD7Fc187xzgsRUxUZxi3G1tFfqz6LgbG4enhZQlJJ3vq7dEe+UV5z8Nfiv4H+LumXWt/D+6a+srS4Nq8/lvGjSqquwXzFUnAYZOMc8V6NXwNWlKEnCas0ffUqsZxU4O6YV/Nh+0ton/CP/H7xdpwG0HU55wPRZ284fhh6/pPr8Df2+NE/sn9pHUrwDA1G1tLkfhEISfziNfb8AVrYqUO8fyaPiOP6N8LGfaX5pnxvbzy2txHdQnDxsGU+hByK/VX/god8bY73S9J+EegS/LdRx6lf7T/AAsM28R+vMhB9ENflJW14h8Q6x4p1eXXdema4upgoZ29EUIg+iqoUewr9JxeWRrYilXl9i/3u35H5vg8zlRw9WhH7dvuV7/eZtra3N9dR2VnG0s0zBERRlmZjgADuSeBX9KH7Pvwqtvgz8J9K8EKF+1Rx+deuv8AHcy/NIc9wp+RT/dUV+S37Anwf/4T34rnxzqsW7TvDIWcbhw92+fIH/AMGTjoVX1r90a+A49zXmnHCQei1fr0/D8z7/gLKuWEsXNavRenX8fyOX8b2H9qeC9X0zGftNlcRY/342X+tfyz1/V8yq6lHGQRgiv5T9Ts207UrjT36wSvGfqpI/pXT4dz0qx9P1ObxEhrSl6/offX/BOrxHp/h74leJLjV5lt7SLQ5bqaR+FRLeaIsx+isTXyj8cfinqHxk+J2qePL7csdzJstom/5ZW8fyxJ6Z28tjqxJ715/pHiHWNBgvrfSZmhXUrY2lxt6vCzpIUz2BZFzjqMjoTWLX21HLIxxc8W92kvu/zPiK2ZylhIYRbJt/16HoHws+HetfFfx9pngHQR+/1CYIz4yIox80kjeyICx9cY6mv6XPB/hTRfAvhaw8H+HYvJstNgSCFe+1BjJPdmPLHuSTXwN/wT3+B//CKeDpvi9r8O2/1xfLsww5js1Odw9DMwz/uqpHWv0dr8v41zj2+I9hB+7D8+v3bfefqHBWT+ww/t5r3p/l0+/f7jzj4weL5vAPws8Q+MrY4m06wnmhz080IfLz/wPFfzFTTS3ErTzsXdyWZmOSSeSST1Jr+kn9prSbnW/gB4usLMFpP7NmlAHUiIeYQPwWv5sq+i8PYR9hUl1v8Ap/w5874hTl7enHpb9f8Ahj0n4P8Aw9uPit8TdG+H1tIYf7TuAkkgGSkSgvKwHcrGrEDuRX9I3gTwB4R+Gnhu38J+CrKOxsrcABUHzO2OXdurue7HJNfzmfAj4kxfCH4t6J8Q7iFp4dPmbzkXG4xTRtDJtzgbgjkqCQCcciv6EPCXxw+EXjfSk1jw34isJ4nUMVadI5Ez2eNyrofZgK5OPo4iU4KKfJb8fP5WsdnAMsPGE3Jrnv8Ah5fPc9Ur5t/ax+KcHwo+COr6tHL5d/qEZsLIA/N506ldw/65puf/AICPWtPx/wDtQ/Av4c2Ml1rXiG1uZkBxa2Ui3M7H+7sjJ2k+rlR71+I/7R37Q/iL9oLxeurXqGz0uyDJY2e7d5asfmdz0Mj4G4jgAADpk+Fw1w5WxFeNSpG0Frr18j3OJeI6OHoSp05Xm9NOnmz52r6l/Yw8L/8ACVftH+HYpF3RWMkl659Ps8bOh/7+bBXy1X6Zf8Ez/C/2zx34k8YuuRYWMVopP965k3nHviH9fev1HiLE+ywNWflb79P1Py/h3De1x1KHnf7tf0P2Or8a/wDgpd4p+2/EHw94OjbK6fYyXTAdnupNuD77YQfoa/ZSv52v2xfFP/CWftG+JrpG3R2c62KD0+yosTj/AL7Vj+NfmnAmG58bz/yp/wCX6n6Xx1ieTBcn8zS/X9D5kr9fP+CZnhXyPDfijxtIv/HzcwWUbenkIZHA+vmpn6V+Qdf0G/sReFf+EW/Zw0MyLtm1IzX0nv5shCH8YlSvs+OMTyYFw/maX6/ofF8DYbnxyn/Km/0/U+s6KKK/GD9nPnf9rPSptZ/Zy8W2kA3Mll55+kDrKx/AITX849f1W63pFj4g0a70HVF3219DJbzL6xyqVYfiCa/mJ+JHgTWPhl461TwJrqkXGmztEWxgOnVJB/suhDD2NfqXh7i4+zqUOt7/AKH5d4hYSXtKdfpa36ntX7GXiS08MftI+Grq+YJFdSy2ZJ/vXETxxj8ZGUV/Q/X8o1tc3Flcx3lo7RSxMHR1JDKynIII5BB5Br9qPgH+3v4C8UaLbaD8X5xo2sxKEa6ZT9luCON+5QfKY9WDAJno3O0HHGSVq0o4mir2Vnb8xcD53Roxlhqztd3Te3ofojRXC6b8UfhnrEIuNJ8RaZcxnkNFdwuP0Y1n6z8ZvhH4eiMut+J9KtgOz3cIY/Rd2T9AK/NVharduV39D9LeKpJczkrep6VRXw18QP8AgoF8C/CcTw+GHuPEV0vAW2jMUOf9qWULx7or19H/AAR8far8UvhdpXxA1m0Sxm1RZJRBGxZUj811j+Y4LEoFJOByeABXTiMpxNGkq1WDim7a/wCW5y4fNsNWqujSmm0r6f57Hq1FFFeceiFFFFAH/9L+/iiiigAooooAK/L3xFrsN/8AtTeJvH0uJLbwjazXAB6eZawrBGv1Nwwx71+oVfkN8RvB/i/4caBq/h3X0Emu+M9YCr5R3CW2gYS7k74lnlTAOD8hBHFedmLaSfbX/I/L/E+tUhRozjF8sZOTfnFe4n6yaRxfhu5k8I/BTX/F9yx+3+KbhdKtmP3jDGRNdv7qx2Ifc/l+iP7Jnw9Pgb4S219eR7L3Wj9tlz1CMMQr/wB8YbHYsa+NLXwNF8RvjDoPwT0w+bo/hOAQ3kifdZ0bzL2QenmTHygf92v1kjjjijWKJQqqAAAMAAdABWOX0fe5n00/zPC8MsjviJYqW1JckfOW8397aT6ofRRRXrn7aeN/GP4DfDj45aMNL8b2e6eIEW95DhLiAn+4+DkeqsCp64zgj8j/AIzfsRfGbwNuu/D8R8VabCMRT2q/6XGi8BZIMlmAHA2F8ADlRxX7qUV7+UcSYnB+7B3j2f6djwM34bw2M96atLuv17n8wfiPWrnxTIF8VhoNetQInuJcq1wEGFE+eRMoAXzD94Y38gsf1m/Y5/a6tfHNlbfCr4nXIi1+3AitLmU4F4ijARif+W4HHP3+vLZz9reN/hT8N/iRbm38daJZ6nldoeaJTKoP9yUYdP8AgLCvgT4kf8E3dAvZ21P4Ta3Jpkg+ZLW9BliB6gLMmJEA91kPvX1FbP8AL8fR9hiU4Po90v8AgeWx8xRyDH4Ct7fDNTXVbNr/AD87n6d0V+dng/4s/tG/s8WyaB+0Podxr+hQAKmuad/pMkSDjM2MFlH96QI/u54r7V8A/FH4ffFDTRqvgLVrfUosAssTfvI89pIzh0Psyivi8blVWj73xR/mWq/4Hoz7TBZrTre78Mv5Xo/+D6o76vnj9q/xX/wh37PPinVFbbJNZmzT13XbCDj3Acn8K+h64f4hfDfwX8VPDx8KePbP7fp5kWUxebLFl0ztJaJkbjPTOPaufAVYQrwnU2TTZ0Y6lOdGcKe7TSP5d67T4c+F38bfEDRPB6An+0763tjjsssiqx/AEmv3e/4Yg/Ze/wChXH/gbe//AB+uk8I/sm/s/eBPElp4u8K+Hha6hYuZIJTc3UmxsEZ2ySsp4J6g469a/UK3H+FcGoRlfpov8z8vo8AYpTTnKNr66vb7j6IREjQRxgKqjAA4AAp1FFfkh+tBX4//APBRP4I/2XrVr8bNAhxBflbXUgo4WdRiKU/76jYT0yq92r9gK5vxd4R8OePPDl34R8XWq3unXybJoWLAMAQw5UhgQQCCCCCMg16+R5rLB4mNZbdfQ8jPMqjjMNKi9+nqfyx16N8JviVrfwi+IGm+PtBOZbGQGSPOFlibiSNvZ1JHscEcgV+5n/DEH7L3/Qrj/wADb3/4/R/wxB+y9/0K4/8AA29/+P1+iVeO8DOLhOEmn5L/ADPzulwJjoSU4TimvN/5H0T4O8W6J478LWHjHw3L51jqMKzwt3ww6MOzKchh2IIr4U/4KQ+K/wCyvhFpfhWJsSatqIZh6xWyMzf+PtGa+2Ph98OPB3ws8PDwp4EtGstPWRpVhM0swVn+9tMzuwBIzgEDOTjJNc78TvgX8LPjJJZS/EjS/wC0m08SC3zPPCEEu3fxDIgOdq9c9K/PcsxeHw+NjWabgndbX8utvxP0LMsJiK+ClRVlNqz3t59L/gfzM199f8E6vCn9tfHG48RyrmPRtPlkVvSWYrCo/FGk/Kv0Y/4Yg/Ze/wChXH/gbe//AB+vVfhj8DfhZ8G2vX+G+lDTW1ARi4PnTTFxFu2DMzvjG49MZzz0FfaZxxth6+GnRpRkm1bVL59ex8Xk/BOIoYmFarKLSd9G/l07nrNFFFfmR+mnl3xp+Gtp8XvhhrHw+unETX8OIZD0jmjIeJj3wHUZx1GR3r+bTxf4Q8R+A/Ed14T8WWj2V/ZuUlikGDnsQejKRyrDgjBHFf1OV5b8S/gt8MPi/ZrafEHSIb9owVim5SeMeiSoVcDPO3O0nqDX1vDPE31G9Oorwf3pnyXE3DP161Sm7TX3NH8yNFftdq//AATZ+D13OZdI1fVbRTzsZ4ZVHsMxq2PqT9a1PDv/AATl+B+lSifW7zU9UI6xySpFGfwiRX/8fr7x8cYBK939x8IuBse5WsvvPUv2KfCf/CJ/s5aCsi7ZtREt/J7+e5MZ/wC/QSvqyszRdH03w7o1p4f0aIQWdjDHbwRgkhI4lCIoJJJwoA5JNadfkGOxLrVp1X1bZ+vYHDKjRhSXRJBX40/8FMNE+z/Ebw54iAx9r057fPqbeVm/9rV+y1eU/E74I/C/4yCyX4k6WNS/s7zPs/76aEp5u3fzC6ZzsXrnpxXo8PZnHB4qNeadtb29DzuIcsljMLKhBq+lr+p/MrTkR5HEcYLMxwAOSSewr+hD/hiD9l7/AKFcf+Bt7/8AH61NE/Y5/Zu8O6za6/pHhpY7qylSeFmurqQLJGwZSUeZlbBGcMCPUV+hy8QMJbSEvuX+Z+eR8P8AF31nH73/AJGv+zB8Ik+DHwe03wxcxhNRuB9rvz3NxMAWU/8AXNQsf/Ac96+g6KK/KMViZ1qkqs927n6vhcNCjTjShslYK/l/+LNh/ZfxT8TaZjH2bVb2LH+5O6/0r+oCvmnxD+x/+zn4q1688Ta94cE99qE8lxcSfa7tN8srFnbakwUZJJwAB7V9Jwrn1LAznKqm00trfq0fN8VZFVx0IRpNJp9b/omfzq17r+zn8Hbz43/FSw8HKGFih+0X8q/wW0ZG/nsXJCL/ALTA9Aa/Z3/hiD9l7/oVx/4G3v8A8fr1f4ZfA/4WfBz7WfhvpK6a1/s89vNlmZxHnaN0zuQBuPAIHrX1OO4+oSoyjQjJSe17f5ny2B4BrxrRlXlHlW9r/wCSPTbGxs9MsodN0+NYbe3RYoo0GFREGFUDsABgVaoor8sbvqz9USIp4IbqB7W5QSRyKVdWGQykYII7giv53v2nf2d9f+BHjeeOOF5PD97Iz6fdYJXaefJdu0iDjn7wG4dTj+iasjXdA0PxRpU2heJLOG/srgbZIJ0EkbD3VgR9PSvf4fz6eBquSV4vdHgcQZDDHUlFu0lsz+Vaiv3U8Xf8E8/gN4hunvNFa/0VmOfLtZg8WT/szLI34BgBXJab/wAE1vhLBOJNU1vVbhB/Ahhjz9T5bH8sV+kQ45wDjdtr5H5tPgbHqVkk/O5+NOkaPqviDU4NF0O2lvLu5cJFDCpeR2PQKoySa+4viT+zfD+z9+zZL4k8cKkvijxFeW1osYIZbOEFrhkUjgyN5QEjjgfdU4JLfrb8L/gL8J/g7CR4C0iK1uHXa90+Zbhx3BlclgD3VSF9q1fiZ8H/AIdfGHT7bS/iNp39o29nIZYk86aEK5G0n9y6E8cc5r5/GcdRqV4KCapp3fd2/rufQ4PgaVOjNzadRqy7K/8AXY/mKr9tv+Cb/hwab8GtS8QyLiTU9TcA+scEaKv/AI+Xr1z/AIYg/Ze/6Fcf+Bt7/wDH69+8CeAfCXwz8Mw+D/A9mLHTrdnaOEO8mDIxdjukZmOWJ6njoOKw4k4toYvDewopptre23ybN+G+Eq+ExPt6zTST2vv80jotT1C10jTbjVb5tsNrE8sjeioCzH8hX8sniDWbrxHr194hvf8AXX9xLcSd/mlYu36mv6ldc0bTfEei3fh7WYzLZ38MlvOgZkLRyqUddyEMMqSMggjsa+Zf+GIP2Xv+hXH/AIG3v/x+vO4Vz7D4HndVNt22t09Wj0OKshxGO5FSaSV979fRM/nzt4JrqdLa3UvJIwVVHUknAA+pr+pTwV4dh8IeDtJ8J2+NmmWcFouOmIY1TP6V4Npf7GX7NWjanbaxp3hoR3FpKk0TG7u2AeNgyna0xU4IHBBB719P0+KuI6WOUI0U0lfe36Nhwrw5UwPPKs027bX/AFSCiiivjj7AK+MP2s/2U7P476YniXww0dp4msY9kbvxHcxDkRSHsQc7H7ZIPByv2fRXXgcdUw1VVqTs0cmOwNLE0nRqq6Z/LL4t8G+KvAety+G/GNhNp19CfmimUqcdiD0ZT2ZSQexNczX9SXjHwB4J+IWm/wBkeN9KttUtxkqtxGrlCe6MRlD7qQa+RfEn/BPP9n7W5mm0oajpGeQlrcB0H4TpK2P+BV+nYHj+hKNsRFp+Wq/zPzHHcAV4yvh5Jrz0f+R+E9Ffsyf+CaHw08zI8Q6ns9NsOfz2/wBK7fQP+CdvwC0mRZdUk1PVMclJ7hUQ/wDfmONsf8Cr0J8cYBK6bfy/zPPhwPj27NJfP/I/C+v6fvhL4f8A+EU+Fvhzw0y7WsdNtYXH+2kShj9S2SaxvBXwG+Dfw8ZJfB/huxtJk+7MYxJMMeksm6T/AMer1uvheJ+JY45RhTi0l36n3XDHDUsC5TqSTb7dAooor5A+vCiiigD/0/7+KKKKACiiigArl/E/hHRvFUcEmoQxtdWL+fZzsoZrecDCyLnuDg4PBwM9K6iik0nozKtRhUi4TV0fOH7O3wNl+D2malPrc6Xmq6jcMZJ0yR5KE+WPm5y2S7e5A525r6PooqadNQjyxOTKsro4LDxw2HVoxCiiirPQCiiigAooooAK8v1L4K/CjVtcTxNdaBZpqSHIuoY/Jmz6mSLYxPuTXqFFa0q04awdvQzqUYT0mrkUMKW8KwRliqAAFmLHj1ZiST7k5qWiisjQKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD/1P7+KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD/2Q==&#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 = 26424, H1 dofs = 10753, total = 37177\n",
      "  Essential DOFs: ND = 336, H1 = 338, total = 674\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Solving eigenvalue problem (omega = 18, sigma = -3492.72, size = 37177)...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Found 8 modes:\n",
      "    Mode 1: kn = +5.63257464e+01 -0.00000000e+00j <-- selected\n",
      "    Mode 2: kn = +5.63257413e+01 -0.00000000e+00j\n",
      "    Mode 3: kn = +5.63256014e+01 -0.00000000e+00j\n",
      "    Mode 4: kn = +5.63215402e+01 -0.00000000e+00j\n",
      "    Mode 5: kn = +5.63156173e+01 -0.00000000e+00j\n",
      "    Mode 6: kn = +5.63147912e+01 -0.00000000e+00j\n",
      "    Mode 7: kn = +5.63143031e+01 -0.00000000e+00j\n",
      "    Mode 8: kn = +5.63051128e+01 -0.00000000e+00j\n",
      "Computed slotline modes:\n",
      "  Mode  1: kn=+56.325746 -0.000000j\n",
      "  Mode  2: kn=+56.325741 -0.000000j\n",
      "  Mode  3: kn=+56.325601 -0.000000j\n",
      "  Mode  4: kn=+56.321540 -0.000000j\n",
      "  Mode  5: kn=+56.315617 -0.000000j\n",
      "  Mode  6: kn=+56.314791 -0.000000j\n",
      "  Mode  7: kn=+56.314303 -0.000000j\n",
      "  Mode  8: kn=+56.305113 -0.000000j\n"
     ]
    }
   ],
   "source": [
    "mesh_file = make_slotline_mesh(\n",
    "    box_w=8.0,\n",
    "    h_sub=1.0,\n",
    "    h_air=3.0,\n",
    "    slot_gap=0.5,\n",
    "    metal_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",
    "# Only slot metal boundaries are PEC. Open boundaries stay non-PEC.\n",
    "pec_bdr = [1, 2]\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 slotline 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": "c7d0795a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-27T20:02:06.435741Z",
     "iopub.status.busy": "2026-05-27T20:02:06.435323Z",
     "iopub.status.idle": "2026-05-27T20:02:06.670906Z",
     "shell.execute_reply": "2026-05-27T20:02:06.670339Z"
    },
    "papermill": {
     "duration": 0.253808,
     "end_time": "2026-05-27T20:02:06.672117+00:00",
     "exception": false,
     "start_time": "2026-05-27T20:02:06.418309+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=\"Slotline FE Mesh and Materials\",\n",
    "    show_edges=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "6991688d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-27T20:02:06.703734Z",
     "iopub.status.busy": "2026-05-27T20:02:06.703564Z",
     "iopub.status.idle": "2026-05-27T20:02:08.490722Z",
     "shell.execute_reply": "2026-05-27T20:02:08.490061Z"
    },
    "papermill": {
     "duration": 1.80395,
     "end_time": "2026-05-27T20:02:08.491111+00:00",
     "exception": false,
     "start_time": "2026-05-27T20:02:06.687161+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n",
      "MFEM Warning: 76 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: 76 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: 76 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=\"Slotline 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": 23.061504,
   "end_time": "2026-05-27T20:02:09.224300+00:00",
   "environment_variables": {},
   "exception": null,
   "input_path": "docs/examples/slotline_modes.ipynb",
   "output_path": "docs/examples/slotline_modes.ipynb",
   "parameters": {},
   "start_time": "2026-05-27T20:01:46.162796+00:00",
   "version": "2.7.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}