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   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "execution": {},
    "id": "view-in-github"
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   "source": [
    "<a href=\"https://colab.research.google.com/github/NeuromatchAcademy/course-content/blob/main/projects/ECoG/load_ECoG_fingerflex.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a> &nbsp; <a href=\"https://kaggle.com/kernels/welcome?src=https://raw.githubusercontent.com/NeuromatchAcademy/course-content/main/projects/ECoG/load_ECoG_fingerflex.ipynb\" target=\"_parent\"><img src=\"https://kaggle.com/static/images/open-in-kaggle.svg\" alt=\"Open in Kaggle\"/></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "execution": {}
   },
   "source": [
    "## Loading of Miller ECoG data of the finger flexing task\n",
    "\n",
    "includes some visualizations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "cellView": "form",
    "execution": {}
   },
   "outputs": [],
   "source": [
    "# @title Data retrieval\n",
    "import os, requests\n",
    "\n",
    "fname = 'fingerflex.npz'\n",
    "url = \"https://osf.io/5m47z/download\"\n",
    "\n",
    "if not os.path.isfile(fname):\n",
    "  try:\n",
    "    r = requests.get(url)\n",
    "  except requests.ConnectionError:\n",
    "    print(\"!!! Failed to download data !!!\")\n",
    "  else:\n",
    "    if r.status_code != requests.codes.ok:\n",
    "      print(\"!!! Failed to download data !!!\")\n",
    "    else:\n",
    "      with open(fname, \"wb\") as fid:\n",
    "        fid.write(r.content)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "cellView": "form",
    "execution": {}
   },
   "outputs": [],
   "source": [
    "# @title Install packages (`nilearn`, `nimare`, `duecredit`), import `matplotlib` and set defaults\n",
    "# install packages to visualize brains and electrode locations\n",
    "!pip install nilearn --quiet\n",
    "!pip install nimare --quiet\n",
    "!pip install duecredit --quiet\n",
    "\n",
    "from matplotlib import rcParams\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "rcParams['figure.figsize'] = [20, 4]\n",
    "rcParams['font.size'] = 15\n",
    "rcParams['axes.spines.top'] = False\n",
    "rcParams['axes.spines.right'] = False\n",
    "rcParams['figure.autolayout'] = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "cellView": "form",
    "execution": {}
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dict_keys(['V', 'dg', 't_on', 't_off', 'stim_id', 'stimtext', 'srate', 'locs', 'hemisphere', 'lobe', 'gyrus', 'Brodmann_Area'])\n"
     ]
    }
   ],
   "source": [
    "# @title Data loading\n",
    "import numpy as np\n",
    "\n",
    "alldat = np.load(fname, allow_pickle=True)['dat']\n",
    "\n",
    "# Select just one of the recordings here. This is subject 1, block 1.\n",
    "dat = alldat[0][0]\n",
    "\n",
    "print(dat.keys())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "execution": {}
   },
   "source": [
    "# Dataset info #\n",
    "\n",
    "This is one of multiple ECoG datasets from Miller 2019, recorded in clinical settings with a variety of tasks. Raw data here:\n",
    "\n",
    "https://exhibits.stanford.edu/data/catalog/zk881ps0522\n",
    "\n",
    "\n",
    "This particular dataset has been used in the following publications:\n",
    "\n",
    "*Miller, Kai J., et al. \"Decoupling the cortical power spectrum reveals real-time representation of individual finger movements in humans.\" Journal of Neuroscience 29.10 (2009): 3132-3137.*\n",
    "\n",
    "*Miller, Kai J., et al. \"Human motor cortical activity is selectively phase-entrained on underlying rhythms.\" (2012): e1002655.*\n",
    "\n",
    "`alldat` contain 3 sessions from 3 subjects, and was used in this paper: \n",
    "\n",
    "https://pubmed.ncbi.nlm.nih.gov/17873429/\n",
    "\n",
    "From the dataset readme: \n",
    "\n",
    "*finger movement task, subjects were cued with a word displayed on a bedside monitor indicating which finger to move during 2- second movement trials. The subject performed self-paced movements in response to each of these cues, and they typically moved each finger 2–5 times during each trial, but some trials included many more movements.\n",
    "\"stim\" (time x 1):\n",
    "0 – Inter-stimulus interval\n",
    "1 – thumb\n",
    "2 – index finger\n",
    "3 – middle finger \n",
    "4 – ring finger\n",
    "5 – little finger*\n",
    "\n",
    "The motion of the fingers was captured with a dataglove, which was sampled at the same rate (1000Hz) as the voltage data. From the dataset readme: \n",
    "\n",
    "*finger flexions, measured from the hand contralateral to grid placement. Note that they are in the raw form input. They are in 40ms blocks, and have non-zero offset. The 5 columns correspond to the digits thumb-index-middle-ring-little in order. Finger positions were recorded using a 5 degree-of-freedom dataglove sensor (5 dt, Irvine, CA).*\n",
    "\n",
    "Sample rate is always 1000Hz, and the ECoG data has been notch-filtered at 60, 120, 180, 240 and 250Hz, followed by z-scoring across the entire recording and conversion to float16 to minimize size (please convert back to float32 for analysis). \n",
    "\n",
    "Variables are: \n",
    "* `dat['V']`: continuous voltage data (time by channels)\n",
    "* `dat['locs`]: three-dimensional coordinates of the electrodes (n_channels by 3)\n",
    "* `dat['dg']`: digit flexions (time x number of fingers). This was preprocessed from the original data to remove a moving baseline. \n",
    "* `dat['srate']`: sampling rate (always 1000)\n",
    "* `dat['t_on']`: time of cue onset \n",
    "* `dat['t_off']`: time of cue offset (usually 2000ms after `t_on`) \n",
    "* `dat['stim_id']`: cue identity (which finger to flex)\n",
    "* `dat['stimtext']`: cue text on the screen \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {}
   },
   "outputs": [
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h(t,e,r){r.negative=e.negative^t.negative;var n=t.length+e.length|0;r.length=n,n=n-1|0;var i=0|t.words[0],a=0|e.words[0],o=i*a,s=67108863&amp;o,l=o/67108864|0;r.words[0]=s;for(var u=1;u&lt;n;u++){for(var c=l&gt;&gt;&gt;26,f=67108863&amp;l,h=Math.min(u,e.length-1),d=Math.max(0,u-t.length+1);d&lt;=h;d++){var p=u-d|0;c+=(o=(i=0|t.words[p])*(a=0|e.words[d])+f)/67108864|0,f=67108863&amp;o}r.words[u]=0|f,l=0|c}return 0!==l?r.words[u]=0|l:r.length--,r.strip()}a.prototype.toString=function(t,e){var r;if(e=0|e||1,16===(t=t||10)||&quot;hex&quot;===t){r=&quot;&quot;;for(var i=0,a=0,o=0;o&lt;this.length;o++){var s=this.words[o],l=(16777215&amp;(s&lt;&lt;i|a)).toString(16);r=0!==(a=s&gt;&gt;&gt;24-i&amp;16777215)||o!==this.length-1?u[6-l.length]+l+r:l+r,(i+=2)&gt;=26&amp;&amp;(i-=26,o--)}for(0!==a&amp;&amp;(r=a.toString(16)+r);r.length%e!=0;)r=&quot;0&quot;+r;return 0!==this.negative&amp;&amp;(r=&quot;-&quot;+r),r}if(t===(0|t)&amp;&amp;t&gt;=2&amp;&amp;t&lt;=36){var h=c[t],d=f[t];r=&quot;&quot;;var p=this.clone();for(p.negative=0;!p.isZero();){var g=p.modn(d).toString(t);r=(p=p.idivn(d)).isZero()?g+r:u[h-g.length]+g+r}for(this.isZero()&amp;&amp;(r=&quot;0&quot;+r);r.length%e!=0;)r=&quot;0&quot;+r;return 0!==this.negative&amp;&amp;(r=&quot;-&quot;+r),r}n(!1,&quot;Base should be between 2 and 36&quot;)},a.prototype.toNumber=function(){var t=this.words[0];return 2===this.length?t+=67108864*this.words[1]:3===this.length&amp;&amp;1===this.words[2]?t+=4503599627370496+67108864*this.words[1]:this.length&gt;2&amp;&amp;n(!1,&quot;Number can only safely store up to 53 bits&quot;),0!==this.negative?-t:t},a.prototype.toJSON=function(){return this.toString(16)},a.prototype.toBuffer=function(t,e){return n(&quot;undefined&quot;!=typeof o),this.toArrayLike(o,t,e)},a.prototype.toArray=function(t,e){return this.toArrayLike(Array,t,e)},a.prototype.toArrayLike=function(t,e,r){var i=this.byteLength(),a=r||Math.max(1,i);n(i&lt;=a,&quot;byte array longer than desired length&quot;),n(a&gt;0,&quot;Requested array length &lt;= 0&quot;),this.strip();var o,s,l=&quot;le&quot;===e,u=new t(a),c=this.clone();if(l){for(s=0;!c.isZero();s++)o=c.andln(255),c.iushrn(8),u[s]=o;for(;s&lt;a;s++)u[s]=0}else{for(s=0;s&lt;a-i;s++)u[s]=0;for(s=0;!c.isZero();s++)o=c.andln(255),c.iushrn(8),u[a-s-1]=o}return u},Math.clz32?a.prototype._countBits=function(t){return 32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return e&gt;=4096&amp;&amp;(r+=13,e&gt;&gt;&gt;=13),e&gt;=64&amp;&amp;(r+=7,e&gt;&gt;&gt;=7),e&gt;=8&amp;&amp;(r+=4,e&gt;&gt;&gt;=4),e&gt;=2&amp;&amp;(r+=2,e&gt;&gt;&gt;=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&amp;e)&amp;&amp;(r+=13,e&gt;&gt;&gt;=13),0==(127&amp;e)&amp;&amp;(r+=7,e&gt;&gt;&gt;=7),0==(15&amp;e)&amp;&amp;(r+=4,e&gt;&gt;&gt;=4),0==(3&amp;e)&amp;&amp;(r+=2,e&gt;&gt;&gt;=2),0==(1&amp;e)&amp;&amp;r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e&lt;this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return this.clone().ineg()},a.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},a.prototype.iuor=function(t){for(;this.length&lt;t.length;)this.words[this.length++]=0;for(var e=0;e&lt;t.length;e++)this.words[e]=this.words[e]|t.words[e];return this.strip()},a.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},a.prototype.or=function(t){return this.length&gt;t.length?this.clone().ior(t):t.clone().ior(this)},a.prototype.uor=function(t){return this.length&gt;t.length?this.clone().iuor(t):t.clone().iuor(this)},a.prototype.iuand=function(t){var e;e=this.length&gt;t.length?t:this;for(var r=0;r&lt;e.length;r++)this.words[r]=this.words[r]&amp;t.words[r];return this.length=e.length,this.strip()},a.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},a.prototype.and=function(t){return this.length&gt;t.length?this.clone().iand(t):t.clone().iand(this)},a.prototype.uand=function(t){return this.length&gt;t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length&gt;t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n&lt;r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n&lt;e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length&gt;t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length&gt;t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(&quot;number&quot;==typeof t&amp;&amp;t&gt;=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r&gt;0&amp;&amp;e--;for(var i=0;i&lt;e;i++)this.words[i]=67108863&amp;~this.words[i];return r&gt;0&amp;&amp;(this.words[i]=~this.words[i]&amp;67108863&gt;&gt;26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(&quot;number&quot;==typeof t&amp;&amp;t&gt;=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1&lt;&lt;i:this.words[r]&amp;~(1&lt;&lt;i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&amp;&amp;0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&amp;&amp;0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length&gt;t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a&lt;n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&amp;e,i=e&gt;&gt;&gt;26;for(;0!==i&amp;&amp;a&lt;r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&amp;e,i=e&gt;&gt;&gt;26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a&lt;r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&amp;&amp;0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&amp;&amp;0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length&gt;t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i&gt;0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o&lt;n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)&gt;&gt;26,this.words[o]=67108863&amp;e;for(;0!==a&amp;&amp;o&lt;r.length;o++)a=(e=(0|r.words[o])+a)&gt;&gt;26,this.words[o]=67108863&amp;e;if(0===a&amp;&amp;o&lt;r.length&amp;&amp;r!==this)for(;o&lt;r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&amp;&amp;(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,u=0,c=0|o[0],f=8191&amp;c,h=c&gt;&gt;&gt;13,d=0|o[1],p=8191&amp;d,g=d&gt;&gt;&gt;13,v=0|o[2],m=8191&amp;v,y=v&gt;&gt;&gt;13,b=0|o[3],x=8191&amp;b,_=b&gt;&gt;&gt;13,w=0|o[4],A=8191&amp;w,M=w&gt;&gt;&gt;13,T=0|o[5],k=8191&amp;T,E=T&gt;&gt;&gt;13,L=0|o[6],S=8191&amp;L,C=L&gt;&gt;&gt;13,O=0|o[7],R=8191&amp;O,P=O&gt;&gt;&gt;13,z=0|o[8],I=8191&amp;z,N=z&gt;&gt;&gt;13,D=0|o[9],F=8191&amp;D,j=D&gt;&gt;&gt;13,B=0|s[0],U=8191&amp;B,V=B&gt;&gt;&gt;13,H=0|s[1],q=8191&amp;H,G=H&gt;&gt;&gt;13,X=0|s[2],W=8191&amp;X,Y=X&gt;&gt;&gt;13,Z=0|s[3],Q=8191&amp;Z,$=Z&gt;&gt;&gt;13,J=0|s[4],K=8191&amp;J,tt=J&gt;&gt;&gt;13,et=0|s[5],rt=8191&amp;et,nt=et&gt;&gt;&gt;13,it=0|s[6],at=8191&amp;it,ot=it&gt;&gt;&gt;13,st=0|s[7],lt=8191&amp;st,ut=st&gt;&gt;&gt;13,ct=0|s[8],ft=8191&amp;ct,ht=ct&gt;&gt;&gt;13,dt=0|s[9],pt=8191&amp;dt,gt=dt&gt;&gt;&gt;13;r.negative=t.negative^e.negative,r.length=19;var vt=(u+(n=Math.imul(f,U))|0)+((8191&amp;(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))&lt;&lt;13)|0;u=((a=Math.imul(h,V))+(i&gt;&gt;&gt;13)|0)+(vt&gt;&gt;&gt;26)|0,vt&amp;=67108863,n=Math.imul(p,U),i=(i=Math.imul(p,V))+Math.imul(g,U)|0,a=Math.imul(g,V);var mt=(u+(n=n+Math.imul(f,q)|0)|0)+((8191&amp;(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(h,G)|0)+(i&gt;&gt;&gt;13)|0)+(mt&gt;&gt;&gt;26)|0,mt&amp;=67108863,n=Math.imul(m,U),i=(i=Math.imul(m,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(p,q)|0,i=(i=i+Math.imul(p,G)|0)+Math.imul(g,q)|0,a=a+Math.imul(g,G)|0;var yt=(u+(n=n+Math.imul(f,W)|0)|0)+((8191&amp;(i=(i=i+Math.imul(f,Y)|0)+Math.imul(h,W)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(h,Y)|0)+(i&gt;&gt;&gt;13)|0)+(yt&gt;&gt;&gt;26)|0,yt&amp;=67108863,n=Math.imul(x,U),i=(i=Math.imul(x,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(m,q)|0,i=(i=i+Math.imul(m,G)|0)+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(p,W)|0,i=(i=i+Math.imul(p,Y)|0)+Math.imul(g,W)|0,a=a+Math.imul(g,Y)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&amp;(i=(i=i+Math.imul(f,$)|0)+Math.imul(h,Q)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(h,$)|0)+(i&gt;&gt;&gt;13)|0)+(bt&gt;&gt;&gt;26)|0,bt&amp;=67108863,n=Math.imul(A,U),i=(i=Math.imul(A,V))+Math.imul(M,U)|0,a=Math.imul(M,V),n=n+Math.imul(x,q)|0,i=(i=i+Math.imul(x,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(m,W)|0,i=(i=i+Math.imul(m,Y)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,Y)|0,n=n+Math.imul(p,Q)|0,i=(i=i+Math.imul(p,$)|0)+Math.imul(g,Q)|0,a=a+Math.imul(g,$)|0;var xt=(u+(n=n+Math.imul(f,K)|0)|0)+((8191&amp;(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,K)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(h,tt)|0)+(i&gt;&gt;&gt;13)|0)+(xt&gt;&gt;&gt;26)|0,xt&amp;=67108863,n=Math.imul(k,U),i=(i=Math.imul(k,V))+Math.imul(E,U)|0,a=Math.imul(E,V),n=n+Math.imul(A,q)|0,i=(i=i+Math.imul(A,G)|0)+Math.imul(M,q)|0,a=a+Math.imul(M,G)|0,n=n+Math.imul(x,W)|0,i=(i=i+Math.imul(x,Y)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,Y)|0,n=n+Math.imul(m,Q)|0,i=(i=i+Math.imul(m,$)|0)+Math.imul(y,Q)|0,a=a+Math.imul(y,$)|0,n=n+Math.imul(p,K)|0,i=(i=i+Math.imul(p,tt)|0)+Math.imul(g,K)|0,a=a+Math.imul(g,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&amp;(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(h,nt)|0)+(i&gt;&gt;&gt;13)|0)+(_t&gt;&gt;&gt;26)|0,_t&amp;=67108863,n=Math.imul(S,U),i=(i=Math.imul(S,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(k,q)|0,i=(i=i+Math.imul(k,G)|0)+Math.imul(E,q)|0,a=a+Math.imul(E,G)|0,n=n+Math.imul(A,W)|0,i=(i=i+Math.imul(A,Y)|0)+Math.imul(M,W)|0,a=a+Math.imul(M,Y)|0,n=n+Math.imul(x,Q)|0,i=(i=i+Math.imul(x,$)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,$)|0,n=n+Math.imul(m,K)|0,i=(i=i+Math.imul(m,tt)|0)+Math.imul(y,K)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(p,rt)|0,i=(i=i+Math.imul(p,nt)|0)+Math.imul(g,rt)|0,a=a+Math.imul(g,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&amp;(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(h,ot)|0)+(i&gt;&gt;&gt;13)|0)+(wt&gt;&gt;&gt;26)|0,wt&amp;=67108863,n=Math.imul(R,U),i=(i=Math.imul(R,V))+Math.imul(P,U)|0,a=Math.imul(P,V),n=n+Math.imul(S,q)|0,i=(i=i+Math.imul(S,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(k,W)|0,i=(i=i+Math.imul(k,Y)|0)+Math.imul(E,W)|0,a=a+Math.imul(E,Y)|0,n=n+Math.imul(A,Q)|0,i=(i=i+Math.imul(A,$)|0)+Math.imul(M,Q)|0,a=a+Math.imul(M,$)|0,n=n+Math.imul(x,K)|0,i=(i=i+Math.imul(x,tt)|0)+Math.imul(_,K)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(m,rt)|0,i=(i=i+Math.imul(m,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(p,at)|0,i=(i=i+Math.imul(p,ot)|0)+Math.imul(g,at)|0,a=a+Math.imul(g,ot)|0;var At=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&amp;(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(h,ut)|0)+(i&gt;&gt;&gt;13)|0)+(At&gt;&gt;&gt;26)|0,At&amp;=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(R,q)|0,i=(i=i+Math.imul(R,G)|0)+Math.imul(P,q)|0,a=a+Math.imul(P,G)|0,n=n+Math.imul(S,W)|0,i=(i=i+Math.imul(S,Y)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,Y)|0,n=n+Math.imul(k,Q)|0,i=(i=i+Math.imul(k,$)|0)+Math.imul(E,Q)|0,a=a+Math.imul(E,$)|0,n=n+Math.imul(A,K)|0,i=(i=i+Math.imul(A,tt)|0)+Math.imul(M,K)|0,a=a+Math.imul(M,tt)|0,n=n+Math.imul(x,rt)|0,i=(i=i+Math.imul(x,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(m,at)|0,i=(i=i+Math.imul(m,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(p,lt)|0,i=(i=i+Math.imul(p,ut)|0)+Math.imul(g,lt)|0,a=a+Math.imul(g,ut)|0;var Mt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&amp;(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(h,ht)|0)+(i&gt;&gt;&gt;13)|0)+(Mt&gt;&gt;&gt;26)|0,Mt&amp;=67108863,n=Math.imul(F,U),i=(i=Math.imul(F,V))+Math.imul(j,U)|0,a=Math.imul(j,V),n=n+Math.imul(I,q)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(N,q)|0,a=a+Math.imul(N,G)|0,n=n+Math.imul(R,W)|0,i=(i=i+Math.imul(R,Y)|0)+Math.imul(P,W)|0,a=a+Math.imul(P,Y)|0,n=n+Math.imul(S,Q)|0,i=(i=i+Math.imul(S,$)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,$)|0,n=n+Math.imul(k,K)|0,i=(i=i+Math.imul(k,tt)|0)+Math.imul(E,K)|0,a=a+Math.imul(E,tt)|0,n=n+Math.imul(A,rt)|0,i=(i=i+Math.imul(A,nt)|0)+Math.imul(M,rt)|0,a=a+Math.imul(M,nt)|0,n=n+Math.imul(x,at)|0,i=(i=i+Math.imul(x,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(m,lt)|0,i=(i=i+Math.imul(m,ut)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ut)|0,n=n+Math.imul(p,ft)|0,i=(i=i+Math.imul(p,ht)|0)+Math.imul(g,ft)|0,a=a+Math.imul(g,ht)|0;var Tt=(u+(n=n+Math.imul(f,pt)|0)|0)+((8191&amp;(i=(i=i+Math.imul(f,gt)|0)+Math.imul(h,pt)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(h,gt)|0)+(i&gt;&gt;&gt;13)|0)+(Tt&gt;&gt;&gt;26)|0,Tt&amp;=67108863,n=Math.imul(F,q),i=(i=Math.imul(F,G))+Math.imul(j,q)|0,a=Math.imul(j,G),n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,Y)|0)+Math.imul(N,W)|0,a=a+Math.imul(N,Y)|0,n=n+Math.imul(R,Q)|0,i=(i=i+Math.imul(R,$)|0)+Math.imul(P,Q)|0,a=a+Math.imul(P,$)|0,n=n+Math.imul(S,K)|0,i=(i=i+Math.imul(S,tt)|0)+Math.imul(C,K)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(k,rt)|0,i=(i=i+Math.imul(k,nt)|0)+Math.imul(E,rt)|0,a=a+Math.imul(E,nt)|0,n=n+Math.imul(A,at)|0,i=(i=i+Math.imul(A,ot)|0)+Math.imul(M,at)|0,a=a+Math.imul(M,ot)|0,n=n+Math.imul(x,lt)|0,i=(i=i+Math.imul(x,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(m,ft)|0,i=(i=i+Math.imul(m,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var kt=(u+(n=n+Math.imul(p,pt)|0)|0)+((8191&amp;(i=(i=i+Math.imul(p,gt)|0)+Math.imul(g,pt)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(g,gt)|0)+(i&gt;&gt;&gt;13)|0)+(kt&gt;&gt;&gt;26)|0,kt&amp;=67108863,n=Math.imul(F,W),i=(i=Math.imul(F,Y))+Math.imul(j,W)|0,a=Math.imul(j,Y),n=n+Math.imul(I,Q)|0,i=(i=i+Math.imul(I,$)|0)+Math.imul(N,Q)|0,a=a+Math.imul(N,$)|0,n=n+Math.imul(R,K)|0,i=(i=i+Math.imul(R,tt)|0)+Math.imul(P,K)|0,a=a+Math.imul(P,tt)|0,n=n+Math.imul(S,rt)|0,i=(i=i+Math.imul(S,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(k,at)|0,i=(i=i+Math.imul(k,ot)|0)+Math.imul(E,at)|0,a=a+Math.imul(E,ot)|0,n=n+Math.imul(A,lt)|0,i=(i=i+Math.imul(A,ut)|0)+Math.imul(M,lt)|0,a=a+Math.imul(M,ut)|0,n=n+Math.imul(x,ft)|0,i=(i=i+Math.imul(x,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var Et=(u+(n=n+Math.imul(m,pt)|0)|0)+((8191&amp;(i=(i=i+Math.imul(m,gt)|0)+Math.imul(y,pt)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(y,gt)|0)+(i&gt;&gt;&gt;13)|0)+(Et&gt;&gt;&gt;26)|0,Et&amp;=67108863,n=Math.imul(F,Q),i=(i=Math.imul(F,$))+Math.imul(j,Q)|0,a=Math.imul(j,$),n=n+Math.imul(I,K)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(N,K)|0,a=a+Math.imul(N,tt)|0,n=n+Math.imul(R,rt)|0,i=(i=i+Math.imul(R,nt)|0)+Math.imul(P,rt)|0,a=a+Math.imul(P,nt)|0,n=n+Math.imul(S,at)|0,i=(i=i+Math.imul(S,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(k,lt)|0,i=(i=i+Math.imul(k,ut)|0)+Math.imul(E,lt)|0,a=a+Math.imul(E,ut)|0,n=n+Math.imul(A,ft)|0,i=(i=i+Math.imul(A,ht)|0)+Math.imul(M,ft)|0,a=a+Math.imul(M,ht)|0;var Lt=(u+(n=n+Math.imul(x,pt)|0)|0)+((8191&amp;(i=(i=i+Math.imul(x,gt)|0)+Math.imul(_,pt)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(_,gt)|0)+(i&gt;&gt;&gt;13)|0)+(Lt&gt;&gt;&gt;26)|0,Lt&amp;=67108863,n=Math.imul(F,K),i=(i=Math.imul(F,tt))+Math.imul(j,K)|0,a=Math.imul(j,tt),n=n+Math.imul(I,rt)|0,i=(i=i+Math.imul(I,nt)|0)+Math.imul(N,rt)|0,a=a+Math.imul(N,nt)|0,n=n+Math.imul(R,at)|0,i=(i=i+Math.imul(R,ot)|0)+Math.imul(P,at)|0,a=a+Math.imul(P,ot)|0,n=n+Math.imul(S,lt)|0,i=(i=i+Math.imul(S,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(k,ft)|0,i=(i=i+Math.imul(k,ht)|0)+Math.imul(E,ft)|0,a=a+Math.imul(E,ht)|0;var St=(u+(n=n+Math.imul(A,pt)|0)|0)+((8191&amp;(i=(i=i+Math.imul(A,gt)|0)+Math.imul(M,pt)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(M,gt)|0)+(i&gt;&gt;&gt;13)|0)+(St&gt;&gt;&gt;26)|0,St&amp;=67108863,n=Math.imul(F,rt),i=(i=Math.imul(F,nt))+Math.imul(j,rt)|0,a=Math.imul(j,nt),n=n+Math.imul(I,at)|0,i=(i=i+Math.imul(I,ot)|0)+Math.imul(N,at)|0,a=a+Math.imul(N,ot)|0,n=n+Math.imul(R,lt)|0,i=(i=i+Math.imul(R,ut)|0)+Math.imul(P,lt)|0,a=a+Math.imul(P,ut)|0,n=n+Math.imul(S,ft)|0,i=(i=i+Math.imul(S,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(k,pt)|0)|0)+((8191&amp;(i=(i=i+Math.imul(k,gt)|0)+Math.imul(E,pt)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(E,gt)|0)+(i&gt;&gt;&gt;13)|0)+(Ct&gt;&gt;&gt;26)|0,Ct&amp;=67108863,n=Math.imul(F,at),i=(i=Math.imul(F,ot))+Math.imul(j,at)|0,a=Math.imul(j,ot),n=n+Math.imul(I,lt)|0,i=(i=i+Math.imul(I,ut)|0)+Math.imul(N,lt)|0,a=a+Math.imul(N,ut)|0,n=n+Math.imul(R,ft)|0,i=(i=i+Math.imul(R,ht)|0)+Math.imul(P,ft)|0,a=a+Math.imul(P,ht)|0;var Ot=(u+(n=n+Math.imul(S,pt)|0)|0)+((8191&amp;(i=(i=i+Math.imul(S,gt)|0)+Math.imul(C,pt)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(C,gt)|0)+(i&gt;&gt;&gt;13)|0)+(Ot&gt;&gt;&gt;26)|0,Ot&amp;=67108863,n=Math.imul(F,lt),i=(i=Math.imul(F,ut))+Math.imul(j,lt)|0,a=Math.imul(j,ut),n=n+Math.imul(I,ft)|0,i=(i=i+Math.imul(I,ht)|0)+Math.imul(N,ft)|0,a=a+Math.imul(N,ht)|0;var Rt=(u+(n=n+Math.imul(R,pt)|0)|0)+((8191&amp;(i=(i=i+Math.imul(R,gt)|0)+Math.imul(P,pt)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(P,gt)|0)+(i&gt;&gt;&gt;13)|0)+(Rt&gt;&gt;&gt;26)|0,Rt&amp;=67108863,n=Math.imul(F,ft),i=(i=Math.imul(F,ht))+Math.imul(j,ft)|0,a=Math.imul(j,ht);var Pt=(u+(n=n+Math.imul(I,pt)|0)|0)+((8191&amp;(i=(i=i+Math.imul(I,gt)|0)+Math.imul(N,pt)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(N,gt)|0)+(i&gt;&gt;&gt;13)|0)+(Pt&gt;&gt;&gt;26)|0,Pt&amp;=67108863;var zt=(u+(n=Math.imul(F,pt))|0)+((8191&amp;(i=(i=Math.imul(F,gt))+Math.imul(j,pt)|0))&lt;&lt;13)|0;return u=((a=Math.imul(j,gt))+(i&gt;&gt;&gt;13)|0)+(zt&gt;&gt;&gt;26)|0,zt&amp;=67108863,l[0]=vt,l[1]=mt,l[2]=yt,l[3]=bt,l[4]=xt,l[5]=_t,l[6]=wt,l[7]=At,l[8]=Mt,l[9]=Tt,l[10]=kt,l[11]=Et,l[12]=Lt,l[13]=St,l[14]=Ct,l[15]=Ot,l[16]=Rt,l[17]=Pt,l[18]=zt,0!==u&amp;&amp;(l[19]=u,r.length++),r};function p(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=h),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&amp;&amp;10===t.length?d(this,t,e):r&lt;63?h(this,t,e):r&lt;1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a&lt;r.length-1;a++){var o=i;i=0;for(var s=67108863&amp;n,l=Math.min(a,e.length-1),u=Math.max(0,a-t.length+1);u&lt;=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),h=67108863&amp;f;s=67108863&amp;(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h&gt;&gt;&gt;26)|0)&gt;&gt;&gt;26,o&amp;=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):p(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n&lt;t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i&lt;e;i++)n|=(1&amp;t)&lt;&lt;e-i-1,t&gt;&gt;=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o&lt;a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o&lt;i;o&lt;&lt;=1)for(var s=o&lt;&lt;1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c&lt;i;c+=s)for(var f=l,h=u,d=0;d&lt;o;d++){var p=r[c+d],g=n[c+d],v=r[c+d+o],m=n[c+d+o],y=f*v-h*m;m=f*m+h*v,v=y,r[c+d]=p+v,n[c+d]=g+m,r[c+d+o]=p-v,n[c+d+o]=g-m,d!==s&amp;&amp;(y=l*f-u*h,h=l*h+u*f,f=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&amp;r,i=0;for(r=r/2|0;r;r&gt;&gt;&gt;=1)i++;return 1&lt;&lt;i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r&lt;=1))for(var n=0;n&lt;r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n&lt;e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&amp;i,r=i&lt;67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o&lt;e;o++)a+=0|t[o],r[2*o]=8191&amp;a,a&gt;&gt;&gt;=13,r[2*o+1]=8191&amp;a,a&gt;&gt;&gt;=13;for(o=2*e;o&lt;i;++o)r[o]=0;n(0===a),n(0==(-8192&amp;a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r&lt;t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var d=0;d&lt;n;d++){var p=s[d]*c[d]-l[d]*f[d];l[d]=s[d]*f[d]+l[d]*c[d],s[d]=p}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),p(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(&quot;number&quot;==typeof t),n(t&lt;67108864);for(var e=0,r=0;r&lt;this.length;r++){var i=(0|this.words[r])*t,a=(67108863&amp;i)+(67108863&amp;e);e&gt;&gt;=26,e+=i/67108864|0,e+=a&gt;&gt;&gt;26,this.words[r]=67108863&amp;a}return 0!==e&amp;&amp;(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r&lt;e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&amp;1&lt;&lt;i)&gt;&gt;&gt;i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n&lt;e.length&amp;&amp;0===e[n];n++,r=r.sqr());if(++n&lt;e.length)for(var i=r.sqr();n&lt;e.length;n++,i=i.sqr())0!==e[n]&amp;&amp;(r=r.mul(i));return r},a.prototype.iushln=function(t){n(&quot;number&quot;==typeof t&amp;&amp;t&gt;=0);var e,r=t%26,i=(t-r)/26,a=67108863&gt;&gt;&gt;26-r&lt;&lt;26-r;if(0!==r){var o=0;for(e=0;e&lt;this.length;e++){var s=this.words[e]&amp;a,l=(0|this.words[e])-s&lt;&lt;r;this.words[e]=l|o,o=s&gt;&gt;&gt;26-r}o&amp;&amp;(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e&gt;=0;e--)this.words[e+i]=this.words[e];for(e=0;e&lt;i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(&quot;number&quot;==typeof t&amp;&amp;t&gt;=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863&gt;&gt;&gt;a&lt;&lt;a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u&lt;o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length&gt;o)for(this.length-=o,u=0;u&lt;this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u&gt;=0&amp;&amp;(0!==c||u&gt;=i);u--){var f=0|this.words[u];this.words[u]=c&lt;&lt;26-a|f&gt;&gt;&gt;a,c=f&amp;s}return l&amp;&amp;0!==c&amp;&amp;(l.words[l.length++]=c),0===this.length&amp;&amp;(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(&quot;number&quot;==typeof t&amp;&amp;t&gt;=0);var e=t%26,r=(t-e)/26,i=1&lt;&lt;e;return!(this.length&lt;=r)&amp;&amp;!!(this.words[r]&amp;i)},a.prototype.imaskn=function(t){n(&quot;number&quot;==typeof t&amp;&amp;t&gt;=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,&quot;imaskn works only with positive numbers&quot;),this.length&lt;=r)return this;if(0!==e&amp;&amp;r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863&gt;&gt;&gt;e&lt;&lt;e;this.words[this.length-1]&amp;=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(&quot;number&quot;==typeof t),n(t&lt;67108864),t&lt;0?this.isubn(-t):0!==this.negative?1===this.length&amp;&amp;(0|this.words[0])&lt;t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e&lt;this.length&amp;&amp;this.words[e]&gt;=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(&quot;number&quot;==typeof t),n(t&lt;67108864),t&lt;0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&amp;&amp;this.words[0]&lt;0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e&lt;this.length&amp;&amp;this.words[e]&lt;0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i&lt;t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&amp;l)&gt;&gt;26)-(l/67108864|0),this.words[i+r]=67108863&amp;a}for(;i&lt;this.length-r;i++)s=(a=(0|this.words[i+r])+s)&gt;&gt;26,this.words[i+r]=67108863&amp;a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i&lt;this.length;i++)s=(a=-(0|this.words[i])+s)&gt;&gt;26,this.words[i]=67108863&amp;a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&amp;&amp;(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(&quot;mod&quot;!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u&lt;s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&amp;&amp;(n=c,s&amp;&amp;(s.words[l]=1));for(var f=l-1;f&gt;=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&amp;&amp;(s.words[f]=h)}return s&amp;&amp;s.strip(),n.strip(),&quot;div&quot;!==e&amp;&amp;0!==r&amp;&amp;n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&amp;&amp;0===t.negative?(s=this.neg().divmod(t,e),&quot;mod&quot;!==e&amp;&amp;(i=s.div.neg()),&quot;div&quot;!==e&amp;&amp;(o=s.mod.neg(),r&amp;&amp;0!==o.negative&amp;&amp;o.iadd(t)),{div:i,mod:o}):0===this.negative&amp;&amp;0!==t.negative?(s=this.divmod(t.neg(),e),&quot;mod&quot;!==e&amp;&amp;(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&amp;t.negative)?(s=this.neg().divmod(t.neg(),e),&quot;div&quot;!==e&amp;&amp;(o=s.mod.neg(),r&amp;&amp;0!==o.negative&amp;&amp;o.isub(t)),{div:s.div,mod:o}):t.length&gt;this.length||this.cmp(t)&lt;0?{div:new a(0),mod:this}:1===t.length?&quot;div&quot;===e?{div:this.divn(t.words[0]),mod:null}:&quot;mod&quot;===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,&quot;div&quot;,!1).div},a.prototype.mod=function(t){return this.divmod(t,&quot;mod&quot;,!1).mod},a.prototype.umod=function(t){return this.divmod(t,&quot;mod&quot;,!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a&lt;0||1===i&amp;&amp;0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t&lt;=67108863);for(var e=(1&lt;&lt;26)%t,r=0,i=this.length-1;i&gt;=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t&lt;=67108863);for(var e=0,r=this.length-1;r&gt;=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&amp;&amp;r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,d=1;0==(e.words[0]&amp;d)&amp;&amp;h&lt;26;++h,d&lt;&lt;=1);if(h&gt;0)for(e.iushrn(h);h-- &gt;0;)(i.isOdd()||o.isOdd())&amp;&amp;(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var p=0,g=1;0==(r.words[0]&amp;g)&amp;&amp;p&lt;26;++p,g&lt;&lt;=1);if(p&gt;0)for(r.iushrn(p);p-- &gt;0;)(s.isOdd()||l.isOdd())&amp;&amp;(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)&gt;=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)&gt;0&amp;&amp;r.cmpn(1)&gt;0;){for(var u=0,c=1;0==(e.words[0]&amp;c)&amp;&amp;u&lt;26;++u,c&lt;&lt;=1);if(u&gt;0)for(e.iushrn(u);u-- &gt;0;)o.isOdd()&amp;&amp;o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&amp;h)&amp;&amp;f&lt;26;++f,h&lt;&lt;=1);if(f&gt;0)for(r.iushrn(f);f-- &gt;0;)s.isOdd()&amp;&amp;s.iadd(l),s.iushrn(1);e.cmp(r)&gt;=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)&lt;0&amp;&amp;i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&amp;&amp;r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i&lt;0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&amp;this.words[0])},a.prototype.isOdd=function(){return 1==(1&amp;this.words[0])},a.prototype.andln=function(t){return this.words[0]&amp;t},a.prototype.bincn=function(t){n(&quot;number&quot;==typeof t);var e=t%26,r=(t-e)/26,i=1&lt;&lt;e;if(this.length&lt;=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&amp;&amp;o&lt;this.length;o++){var s=0|this.words[o];a=(s+=a)&gt;&gt;&gt;26,s&amp;=67108863,this.words[o]=s}return 0!==a&amp;&amp;(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&amp;&amp;0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t&lt;0;if(0!==this.negative&amp;&amp;!r)return-1;if(0===this.negative&amp;&amp;r)return 1;if(this.strip(),this.length&gt;1)e=1;else{r&amp;&amp;(t=-t),n(t&lt;=67108863,&quot;Number is too big&quot;);var i=0|this.words[0];e=i===t?0:i&lt;t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&amp;&amp;0===t.negative)return-1;if(0===this.negative&amp;&amp;0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length&gt;t.length)return 1;if(this.length&lt;t.length)return-1;for(var e=0,r=this.length-1;r&gt;=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n&lt;i?e=-1:n&gt;i&amp;&amp;(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)&gt;=0},a.prototype.gte=function(t){return this.cmp(t)&gt;=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)&lt;=0},a.prototype.lte=function(t){return this.cmp(t)&lt;=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new w(t)},a.prototype.toRed=function(t){return n(!this.red,&quot;Already a number in reduction context&quot;),n(0===this.negative,&quot;red works only with positives&quot;),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,&quot;fromRed works only with numbers in reduction context&quot;),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,&quot;Already a number in reduction context&quot;),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,&quot;redAdd works only with red numbers&quot;),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,&quot;redIAdd works only with red numbers&quot;),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,&quot;redSub works only with red numbers&quot;),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,&quot;redISub works only with red numbers&quot;),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,&quot;redShl works only with red numbers&quot;),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,&quot;redMul works only with red numbers&quot;),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,&quot;redMul works only with red numbers&quot;),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,&quot;redSqr works only with red numbers&quot;),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,&quot;redISqr works only with red numbers&quot;),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,&quot;redSqrt works only with red numbers&quot;),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,&quot;redInvm works only with red numbers&quot;),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,&quot;redNeg works only with red numbers&quot;),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&amp;&amp;!t.red,&quot;redPow(normalNum)&quot;),this.red._verify1(this),this.red.pow(this,t)};var v={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function y(){m.call(this,&quot;k256&quot;,&quot;ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f&quot;)}function b(){m.call(this,&quot;p224&quot;,&quot;ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001&quot;)}function x(){m.call(this,&quot;p192&quot;,&quot;ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff&quot;)}function _(){m.call(this,&quot;25519&quot;,&quot;7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed&quot;)}function w(t){if(&quot;string&quot;==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),&quot;modulus must be greater than 1&quot;),this.m=t,this.prime=null}function A(t){w.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&amp;&amp;(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e&gt;this.n);var n=e&lt;this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n&gt;0?r.isub(this.p):r.strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(y,m),y.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n&lt;r;n++)e.words[n]=t.words[n];if(e.length=r,t.length&lt;=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&amp;i,n=10;n&lt;t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&amp;a)&lt;&lt;4|i&gt;&gt;&gt;22,i=a}i&gt;&gt;&gt;=22,t.words[n-10]=i,0===i&amp;&amp;t.length&gt;10?t.length-=10:t.length-=9},y.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r&lt;t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&amp;e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&amp;&amp;(t.length--,0===t.words[t.length-1]&amp;&amp;t.length--),t},i(b,m),i(x,m),i(_,m),_.prototype.imulK=function(t){for(var e=0,r=0;r&lt;t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&amp;n;n&gt;&gt;&gt;=26,t.words[r]=i,e=n}return 0!==e&amp;&amp;(t.words[t.length++]=e),t},a._prime=function(t){if(v[t])return v[t];var e;if(&quot;k256&quot;===t)e=new y;else if(&quot;p224&quot;===t)e=new b;else if(&quot;p192&quot;===t)e=new x;else{if(&quot;p25519&quot;!==t)throw new Error(&quot;Unknown prime &quot;+t);e=new _}return v[t]=e,e},w.prototype._verify1=function(t){n(0===t.negative,&quot;red works only with positives&quot;),n(t.red,&quot;red works only with red numbers&quot;)},w.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),&quot;red works only with positives&quot;),n(t.red&amp;&amp;t.red===e.red,&quot;red works only with red numbers&quot;)},w.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},w.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},w.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)&gt;=0&amp;&amp;r.isub(this.m),r._forceRed(this)},w.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)&gt;=0&amp;&amp;r.isub(this.m),r},w.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)&lt;0&amp;&amp;r.iadd(this.m),r._forceRed(this)},w.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)&lt;0&amp;&amp;r.iadd(this.m),r},w.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},w.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},w.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},w.prototype.isqr=function(t){return this.imul(t,t.clone())},w.prototype.sqr=function(t){return this.mul(t,t)},w.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&amp;&amp;0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),d=this.pow(t,i),p=o;0!==d.cmp(s);){for(var g=d,v=0;0!==g.cmp(s);v++)g=g.redSqr();n(v&lt;p);var m=this.pow(f,new a(1).iushln(p-v-1));h=h.redMul(m),f=m.redSqr(),d=d.redMul(f),p=v}return h},w.prototype.invm=function(t){var 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z=(R-=1)*x,I=w[z],N=w[z+1],D=w[z+2],F=w[z+3],j=w[z+4],B=w[z+5],U=R*_,V=A[U],H=A[U+1],q=1&amp;B,G=!!(16&amp;B),X=c,W=E,Y=S,Z=C;if(q&amp;&amp;(X=S,W=C,Y=c,Z=E),!(2&amp;B&amp;&amp;(D=v(t,I,N,D,X,W,H),N&gt;=D)||4&amp;B&amp;&amp;(N=m(t,I,N,D,X,W,V))&gt;=D)){var Q=D-N,$=j-F;if(G){if(t*Q*(Q+$)&lt;d){if(void 0!==(O=l.scanComplete(t,I,e,N,D,X,W,F,j,Y,Z)))return O;continue}}else{if(t*Math.min(Q,$)&lt;f){if(void 0!==(O=o(t,I,e,q,N,D,X,W,F,j,Y,Z)))return O;continue}if(t*Q*$&lt;h){if(void 0!==(O=l.scanBipartite(t,I,e,q,N,D,X,W,F,j,Y,Z)))return O;continue}}var J=p(t,I,N,D,X,W,V,H);if(N&lt;J)if(t*(J-N)&lt;f){if(void 0!==(O=s(t,I+1,e,N,J,X,W,F,j,Y,Z)))return O}else if(I===t-2){if(void 0!==(O=q?l.sweepBipartite(t,e,F,j,Y,Z,N,J,X,W):l.sweepBipartite(t,e,N,J,X,W,F,j,Y,Z)))return O}else M(R++,I+1,N,J,F,j,q,-1/0,1/0),M(R++,I+1,F,j,N,J,1^q,-1/0,1/0);if(J&lt;D){var K=u(t,I,F,j,Y,Z),tt=Y[P*K+I],et=g(t,I,K,j,Y,Z,tt);if(et&lt;j&amp;&amp;M(R++,I,J,D,et,j,(4|q)+(G?16:0),tt,H),F&lt;K&amp;&amp;M(R++,I,J,D,F,K,(2|q)+(G?16:0),V,tt),K+1===et){if(void 0!==(O=G?k(t,I,e,J,D,X,W,K,Y,Z[K]):T(t,I,e,q,J,D,X,W,K,Y,Z[K])))return O}else if(K&lt;et){var rt;if(G){if(rt=y(t,I,J,D,X,W,tt),J&lt;rt){var nt=g(t,I,J,rt,X,W,tt);if(I===t-2){if(J&lt;nt&amp;&amp;void 0!==(O=l.sweepComplete(t,e,J,nt,X,W,K,et,Y,Z)))return O;if(nt&lt;rt&amp;&amp;void 0!==(O=l.sweepBipartite(t,e,nt,rt,X,W,K,et,Y,Z)))return O}else J&lt;nt&amp;&amp;M(R++,I+1,J,nt,K,et,16,-1/0,1/0),nt&lt;rt&amp;&amp;(M(R++,I+1,nt,rt,K,et,0,-1/0,1/0),M(R++,I+1,K,et,nt,rt,1,-1/0,1/0))}}else rt=q?b(t,I,J,D,X,W,tt):y(t,I,J,D,X,W,tt),J&lt;rt&amp;&amp;(I===t-2?O=q?l.sweepBipartite(t,e,K,et,Y,Z,J,rt,X,W):l.sweepBipartite(t,e,J,rt,X,W,K,et,Y,Z):(M(R++,I+1,J,rt,K,et,q,-1/0,1/0),M(R++,I+1,K,et,J,rt,1^q,-1/0,1/0)))}}}}};var n=t(&quot;typedarray-pool&quot;),i=t(&quot;bit-twiddle&quot;),a=t(&quot;./brute&quot;),o=a.partial,s=a.full,l=t(&quot;./sweep&quot;),u=t(&quot;./median&quot;),c=t(&quot;./partition&quot;),f=128,h=1&lt;&lt;22,d=1&lt;&lt;22,p=c(&quot;!(lo&gt;=p0)&amp;&amp;!(p1&gt;=hi)&quot;,[&quot;p0&quot;,&quot;p1&quot;]),g=c(&quot;lo===p0&quot;,[&quot;p0&quot;]),v=c(&quot;lo&lt;p0&quot;,[&quot;p0&quot;]),m=c(&quot;hi&lt;=p0&quot;,[&quot;p0&quot;]),y=c(&quot;lo&lt;=p0&amp;&amp;p0&lt;=hi&quot;,[&quot;p0&quot;]),b=c(&quot;lo&lt;p0&amp;&amp;p0&lt;=hi&quot;,[&quot;p0&quot;]),x=6,_=2,w=n.mallocInt32(1024),A=n.mallocDouble(1024);function M(t,e,r,n,i,a,o,s,l){var u=x*t;w[u]=e,w[u+1]=r,w[u+2]=n,w[u+3]=i,w[u+4]=a,w[u+5]=o;var c=_*t;A[c]=s,A[c+1]=l}function T(t,e,r,n,i,a,o,s,l,u,c){var f=2*t,h=l*f,d=u[h+e];t:for(var p=i,g=i*f;p&lt;a;++p,g+=f){var v=o[g+e],m=o[g+e+t];if(!(d&lt;v||m&lt;d)&amp;&amp;(!n||d!==v)){for(var y,b=s[p],x=e+1;x&lt;t;++x){v=o[g+x],m=o[g+x+t];var _=u[h+x],w=u[h+x+t];if(m&lt;_||w&lt;v)continue 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T=s[w];s[w]=s[A],s[A]=T}var k=l[c-1];l[c-1]=l[d],l[d]=k,d=n(t,e,u,c-1,s,l,p);for(var w=h*(c-1),A=h*d,M=0;M&lt;h;++M,++w,++A){var T=s[w];s[w]=s[A],s[A]=T}var k=l[c-1];if(l[c-1]=l[d],l[d]=k,f&lt;d){for(c=d-1;u&lt;c&amp;&amp;s[h*(c-1)+e]===p;)c-=1;c+=1}else{if(!(d&lt;f))break;for(u=d+1;u&lt;c&amp;&amp;s[h*u+e]===p;)u+=1}}return n(t,e,r,f,s,l,s[h*f+e])};var n=t(&quot;./partition&quot;)(&quot;lo&lt;p0&quot;,[&quot;p0&quot;]),i=8;function a(t,e,r,n,i,a){for(var o=2*t,s=o*(r+1)+e,l=r+1;l&lt;n;++l,s+=o)for(var u=i[s],c=l,f=o*(l-1);c&gt;r&amp;&amp;i[f+e]&gt;u;--c,f-=o){for(var h=f,d=f+o,p=0;p&lt;o;++p,++h,++d){var g=i[h];i[h]=i[d],i[d]=g}var v=a[c];a[c]=a[c-1],a[c-1]=v}}},{&quot;./partition&quot;:43}],43:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e){var r=&quot;abcdef&quot;.split(&quot;&quot;).concat(e),i=[];t.indexOf(&quot;lo&quot;)&gt;=0&amp;&amp;i.push(&quot;lo=e[k+n]&quot;);t.indexOf(&quot;hi&quot;)&gt;=0&amp;&amp;i.push(&quot;hi=e[k+o]&quot;);return r.push(n.replace(&quot;_&quot;,i.join()).replace(&quot;$&quot;,t)),Function.apply(void 0,r)};var n=&quot;for(var j=2*a,k=j*c,l=k,m=c,n=b,o=a+b,p=c;d&gt;p;++p,k+=j){var _;if($)if(m===p)m+=1,l+=j;else{for(var s=0;j&gt;s;++s){var t=e[k+s];e[k+s]=e[l],e[l++]=t}var u=f[p];f[p]=f[m],f[m++]=u}}return m&quot;},{}],44:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e){e&lt;=4*n?i(0,e-1,t):function t(e,r,f){var h=(r-e+1)/6|0,d=e+h,p=r-h,g=e+r&gt;&gt;1,v=g-h,m=g+h,y=d,b=v,x=g,_=m,w=p,A=e+1,M=r-1,T=0;u(y,b,f)&amp;&amp;(T=y,y=b,b=T);u(_,w,f)&amp;&amp;(T=_,_=w,w=T);u(y,x,f)&amp;&amp;(T=y,y=x,x=T);u(b,x,f)&amp;&amp;(T=b,b=x,x=T);u(y,_,f)&amp;&amp;(T=y,y=_,_=T);u(x,_,f)&amp;&amp;(T=x,x=_,_=T);u(b,w,f)&amp;&amp;(T=b,b=w,w=T);u(b,x,f)&amp;&amp;(T=b,b=x,x=T);u(_,w,f)&amp;&amp;(T=_,_=w,w=T);var k=f[2*b];var E=f[2*b+1];var L=f[2*_];var S=f[2*_+1];var C=2*y;var O=2*x;var R=2*w;var P=2*d;var z=2*g;var I=2*p;for(var N=0;N&lt;2;++N){var D=f[C+N],F=f[O+N],j=f[R+N];f[P+N]=D,f[z+N]=F,f[I+N]=j}o(v,e,f);o(m,r,f);for(var B=A;B&lt;=M;++B)if(c(B,k,E,f))B!==A&amp;&amp;a(B,A,f),++A;else if(!c(B,L,S,f))for(;;){if(c(M,L,S,f)){c(M,k,E,f)?(s(B,A,M,f),++A,--M):(a(B,M,f),--M);break}if(--M&lt;B)break}l(e,A-1,k,E,f);l(r,M+1,L,S,f);A-2-e&lt;=n?i(e,A-2,f):t(e,A-2,f);r-(M+2)&lt;=n?i(M+2,r,f):t(M+2,r,f);M-A&lt;=n?i(A,M,f):t(A,M,f)}(0,e-1,t)};var n=32;function i(t,e,r){for(var n=2*(t+1),i=t+1;i&lt;=e;++i){for(var a=r[n++],o=r[n++],s=i,l=n-2;s-- &gt;t;){var u=r[l-2],c=r[l-1];if(u&lt;a)break;if(u===a&amp;&amp;c&lt;o)break;r[l]=u,r[l+1]=c,l-=2}r[l]=a,r[l+1]=o}}function a(t,e,r){e*=2;var n=r[t*=2],i=r[t+1];r[t]=r[e],r[t+1]=r[e+1],r[e]=n,r[e+1]=i}function o(t,e,r){e*=2,r[t*=2]=r[e],r[t+1]=r[e+1]}function s(t,e,r,n){e*=2,r*=2;var i=n[t*=2],a=n[t+1];n[t]=n[e],n[t+1]=n[e+1],n[e]=n[r],n[e+1]=n[r+1],n[r]=i,n[r+1]=a}function l(t,e,r,n,i){e*=2,i[t*=2]=i[e],i[e]=r,i[t+1]=i[e+1],i[e+1]=n}function u(t,e,r){e*=2;var 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n=t(&quot;binary-search-bounds&quot;),i=t(&quot;robust-orientation&quot;)[3],a=0,o=1,s=2;function l(t,e,r,n,i){this.a=t,this.b=e,this.idx=r,this.lowerIds=n,this.upperIds=i}function u(t,e,r,n){this.a=t,this.b=e,this.type=r,this.idx=n}function c(t,e){var r=t.a[0]-e.a[0]||t.a[1]-e.a[1]||t.type-e.type;return r||(t.type!==a&amp;&amp;(r=i(t.a,t.b,e.b))?r:t.idx-e.idx)}function f(t,e){return i(t.a,t.b,e)}function h(t,e,r,a,o){for(var s=n.lt(e,a,f),l=n.gt(e,a,f),u=s;u&lt;l;++u){for(var c=e[u],h=c.lowerIds,d=h.length;d&gt;1&amp;&amp;i(r[h[d-2]],r[h[d-1]],a)&gt;0;)t.push([h[d-1],h[d-2],o]),d-=1;h.length=d,h.push(o);var p=c.upperIds;for(d=p.length;d&gt;1&amp;&amp;i(r[p[d-2]],r[p[d-1]],a)&lt;0;)t.push([p[d-2],p[d-1],o]),d-=1;p.length=d,p.push(o)}}function d(t,e){var r;return(r=t.a[0]&lt;e.a[0]?i(t.a,t.b,e.a):i(e.b,e.a,t.a))?r:(r=e.b[0]&lt;t.b[0]?i(t.a,t.b,e.b):i(e.b,e.a,t.b))||t.idx-e.idx}function p(t,e,r){var i=n.le(t,r,d),a=t[i],o=a.upperIds,s=o[o.length-1];a.upperIds=[s],t.splice(i+1,0,new 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c+f+h+d-(p+g+v+m)||n(c,f,h,d)-n(p,g,v,m,p)||n(c+f,c+h,c+d,f+h,f+d,h+d)-n(p+g,p+v,p+m,g+v,g+m,v+m)||n(c+f+h,c+f+d,c+h+d,f+h+d)-n(p+g+v,p+g+m,p+v+m,g+v+m);default:for(var y=t.slice().sort(i),b=e.slice().sort(i),x=0;x&lt;r;++x)if(a=y[x]-b[x])return a;return 0}};var n=Math.min;function i(t,e){return t-e}},{}],71:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;compare-cell&quot;),i=t(&quot;cell-orientation&quot;);e.exports=function(t,e){return n(t,e)||i(t)-i(e)}},{&quot;cell-orientation&quot;:55,&quot;compare-cell&quot;:70}],72:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./lib/ch1d&quot;),i=t(&quot;./lib/ch2d&quot;),a=t(&quot;./lib/chnd&quot;);e.exports=function(t){var e=t.length;if(0===e)return[];if(1===e)return[[0]];var r=t[0].length;if(0===r)return[];if(1===r)return n(t);if(2===r)return i(t);return a(t,r)}},{&quot;./lib/ch1d&quot;:73,&quot;./lib/ch2d&quot;:74,&quot;./lib/chnd&quot;:75}],73:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t){for(var e=0,r=0,n=1;n&lt;t.length;++n)t[n][0]&lt;t[e][0]&amp;&amp;(e=n),t[n][0]&gt;t[r][0]&amp;&amp;(r=n);return e&lt;r?[[e],[r]]:e&gt;r?[[r],[e]]:[[e]]}},{}],74:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t){var e=n(t),r=e.length;if(r&lt;=2)return[];for(var i=new Array(r),a=e[r-1],o=0;o&lt;r;++o){var s=e[o];i[o]=[a,s],a=s}return i};var n=t(&quot;monotone-convex-hull-2d&quot;)},{&quot;monotone-convex-hull-2d&quot;:270}],75:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e){try{return n(t,!0)}catch(s){var r=i(t);if(r.length&lt;=e)return[];var a=function(t,e){for(var r=t.length,n=new Array(r),i=0;i&lt;e.length;++i)n[i]=t[e[i]];for(var a=e.length,i=0;i&lt;r;++i)e.indexOf(i)&lt;0&amp;&amp;(n[a++]=t[i]);return n}(t,r),o=n(a,!0);return function(t,e){for(var r=t.length,n=e.length,i=0;i&lt;r;++i)for(var a=t[i],o=0;o&lt;a.length;++o){var s=a[o];if(s&lt;n)a[o]=e[s];else{s-=n;for(var l=0;l&lt;n;++l)s&gt;=e[l]&amp;&amp;(s+=1);a[o]=s}}return t}(o,r)}};var n=t(&quot;incremental-convex-hull&quot;),i=t(&quot;affine-hull&quot;)},{&quot;affine-hull&quot;:13,&quot;incremental-convex-hull&quot;:254}],76:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e,r,n,i,a){var o=i-1,s=i*i,l=o*o,u=(1+2*i)*l,c=i*l,f=s*(3-2*i),h=s*o;if(t.length){a||(a=new Array(t.length));for(var d=t.length-1;d&gt;=0;--d)a[d]=u*t[d]+c*e[d]+f*r[d]+h*n[d];return a}return u*t+c*e+f*r+h*n},e.exports.derivative=function(t,e,r,n,i,a){var o=6*i*i-6*i,s=3*i*i-4*i+1,l=-6*i*i+6*i,u=3*i*i-2*i;if(t.length){a||(a=new Array(t.length));for(var c=t.length-1;c&gt;=0;--c)a[c]=o*t[c]+s*e[c]+l*r[c]+u*n[c];return a}return o*t+s*e+l*r[c]+u*n}},{}],77:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./lib/thunk.js&quot;);function i(){this.argTypes=[],this.shimArgs=[],this.arrayArgs=[],this.arrayBlockIndices=[],this.scalarArgs=[],this.offsetArgs=[],this.offsetArgIndex=[],this.indexArgs=[],this.shapeArgs=[],this.funcName=&quot;&quot;,this.pre=null,this.body=null,this.post=null,this.debug=!1}e.exports=function(t){var e=new i;e.pre=t.pre,e.body=t.body,e.post=t.post;var r=t.args.slice(0);e.argTypes=r;for(var a=0;a&lt;r.length;++a){var o=r[a];if(&quot;array&quot;===o||&quot;object&quot;==typeof o&amp;&amp;o.blockIndices){if(e.argTypes[a]=&quot;array&quot;,e.arrayArgs.push(a),e.arrayBlockIndices.push(o.blockIndices?o.blockIndices:0),e.shimArgs.push(&quot;array&quot;+a),a&lt;e.pre.args.length&amp;&amp;e.pre.args[a].count&gt;0)throw new Error(&quot;cwise: pre() block may not reference array args&quot;);if(a&lt;e.post.args.length&amp;&amp;e.post.args[a].count&gt;0)throw new Error(&quot;cwise: post() block may not reference array args&quot;)}else if(&quot;scalar&quot;===o)e.scalarArgs.push(a),e.shimArgs.push(&quot;scalar&quot;+a);else if(&quot;index&quot;===o){if(e.indexArgs.push(a),a&lt;e.pre.args.length&amp;&amp;e.pre.args[a].count&gt;0)throw new Error(&quot;cwise: pre() block may not reference array index&quot;);if(a&lt;e.body.args.length&amp;&amp;e.body.args[a].lvalue)throw new Error(&quot;cwise: body() block may not write to array index&quot;);if(a&lt;e.post.args.length&amp;&amp;e.post.args[a].count&gt;0)throw new Error(&quot;cwise: post() block may not reference array index&quot;)}else if(&quot;shape&quot;===o){if(e.shapeArgs.push(a),a&lt;e.pre.args.length&amp;&amp;e.pre.args[a].lvalue)throw new Error(&quot;cwise: pre() block may not write to array shape&quot;);if(a&lt;e.body.args.length&amp;&amp;e.body.args[a].lvalue)throw new Error(&quot;cwise: body() block may not write to array shape&quot;);if(a&lt;e.post.args.length&amp;&amp;e.post.args[a].lvalue)throw new Error(&quot;cwise: post() block may not write to array shape&quot;)}else{if(&quot;object&quot;!=typeof o||!o.offset)throw new Error(&quot;cwise: Unknown argument type &quot;+r[a]);e.argTypes[a]=&quot;offset&quot;,e.offsetArgs.push({array:o.array,offset:o.offset}),e.offsetArgIndex.push(a)}}if(e.arrayArgs.length&lt;=0)throw new Error(&quot;cwise: No array arguments specified&quot;);if(e.pre.args.length&gt;r.length)throw new Error(&quot;cwise: Too many arguments in pre() block&quot;);if(e.body.args.length&gt;r.length)throw new Error(&quot;cwise: Too many arguments in body() block&quot;);if(e.post.args.length&gt;r.length)throw new Error(&quot;cwise: Too many arguments in post() block&quot;);return e.debug=!!t.printCode||!!t.debug,e.funcName=t.funcName||&quot;cwise&quot;,e.blockSize=t.blockSize||64,n(e)}},{&quot;./lib/thunk.js&quot;:79}],78:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;uniq&quot;);function i(t,e,r){var n,i,a=t.length,o=e.arrayArgs.length,s=e.indexArgs.length&gt;0,l=[],u=[],c=0,f=0;for(n=0;n&lt;a;++n)u.push([&quot;i&quot;,n,&quot;=0&quot;].join(&quot;&quot;));for(i=0;i&lt;o;++i)for(n=0;n&lt;a;++n)f=c,c=t[n],0===n?u.push([&quot;d&quot;,i,&quot;s&quot;,n,&quot;=t&quot;,i,&quot;p&quot;,c].join(&quot;&quot;)):u.push([&quot;d&quot;,i,&quot;s&quot;,n,&quot;=(t&quot;,i,&quot;p&quot;,c,&quot;-s&quot;,f,&quot;*t&quot;,i,&quot;p&quot;,f,&quot;)&quot;].join(&quot;&quot;));for(u.length&gt;0&amp;&amp;l.push(&quot;var &quot;+u.join(&quot;,&quot;)),n=a-1;n&gt;=0;--n)c=t[n],l.push([&quot;for(i&quot;,n,&quot;=0;i&quot;,n,&quot;&lt;s&quot;,c,&quot;;++i&quot;,n,&quot;){&quot;].join(&quot;&quot;));for(l.push(r),n=0;n&lt;a;++n){for(f=c,c=t[n],i=0;i&lt;o;++i)l.push([&quot;p&quot;,i,&quot;+=d&quot;,i,&quot;s&quot;,n].join(&quot;&quot;));s&amp;&amp;(n&gt;0&amp;&amp;l.push([&quot;index[&quot;,f,&quot;]-=s&quot;,f].join(&quot;&quot;)),l.push([&quot;++index[&quot;,c,&quot;]&quot;].join(&quot;&quot;))),l.push(&quot;}&quot;)}return l.join(&quot;\\n&quot;)}function a(t,e,r){for(var n=t.body,i=[],a=[],o=0;o&lt;t.args.length;++o){var s=t.args[o];if(!(s.count&lt;=0)){var l=new RegExp(s.name,&quot;g&quot;),u=&quot;&quot;,c=e.arrayArgs.indexOf(o);switch(e.argTypes[o]){case&quot;offset&quot;:var f=e.offsetArgIndex.indexOf(o);c=e.offsetArgs[f].array,u=&quot;+q&quot;+f;case&quot;array&quot;:u=&quot;p&quot;+c+u;var h=&quot;l&quot;+o,d=&quot;a&quot;+c;if(0===e.arrayBlockIndices[c])1===s.count?&quot;generic&quot;===r[c]?s.lvalue?(i.push([&quot;var &quot;,h,&quot;=&quot;,d,&quot;.get(&quot;,u,&quot;)&quot;].join(&quot;&quot;)),n=n.replace(l,h),a.push([d,&quot;.set(&quot;,u,&quot;,&quot;,h,&quot;)&quot;].join(&quot;&quot;))):n=n.replace(l,[d,&quot;.get(&quot;,u,&quot;)&quot;].join(&quot;&quot;)):n=n.replace(l,[d,&quot;[&quot;,u,&quot;]&quot;].join(&quot;&quot;)):&quot;generic&quot;===r[c]?(i.push([&quot;var &quot;,h,&quot;=&quot;,d,&quot;.get(&quot;,u,&quot;)&quot;].join(&quot;&quot;)),n=n.replace(l,h),s.lvalue&amp;&amp;a.push([d,&quot;.set(&quot;,u,&quot;,&quot;,h,&quot;)&quot;].join(&quot;&quot;))):(i.push([&quot;var &quot;,h,&quot;=&quot;,d,&quot;[&quot;,u,&quot;]&quot;].join(&quot;&quot;)),n=n.replace(l,h),s.lvalue&amp;&amp;a.push([d,&quot;[&quot;,u,&quot;]=&quot;,h].join(&quot;&quot;)));else{for(var p=[s.name],g=[u],v=0;v&lt;Math.abs(e.arrayBlockIndices[c]);v++)p.push(&quot;\\\\s*\\\\[([^\\\\]]+)\\\\]&quot;),g.push(&quot;$&quot;+(v+1)+&quot;*t&quot;+c+&quot;b&quot;+v);if(l=new RegExp(p.join(&quot;&quot;),&quot;g&quot;),u=g.join(&quot;+&quot;),&quot;generic&quot;===r[c])throw new Error(&quot;cwise: Generic arrays not supported in combination with blocks!&quot;);n=n.replace(l,[d,&quot;[&quot;,u,&quot;]&quot;].join(&quot;&quot;))}break;case&quot;scalar&quot;:n=n.replace(l,&quot;Y&quot;+e.scalarArgs.indexOf(o));break;case&quot;index&quot;:n=n.replace(l,&quot;index&quot;);break;case&quot;shape&quot;:n=n.replace(l,&quot;shape&quot;)}}}return[i.join(&quot;\\n&quot;),n,a.join(&quot;\\n&quot;)].join(&quot;\\n&quot;).trim()}e.exports=function(t,e){for(var r=e[1].length-Math.abs(t.arrayBlockIndices[0])|0,o=new Array(t.arrayArgs.length),s=new Array(t.arrayArgs.length),l=0;l&lt;t.arrayArgs.length;++l)s[l]=e[2*l],o[l]=e[2*l+1];var u=[],c=[],f=[],h=[],d=[];for(l=0;l&lt;t.arrayArgs.length;++l){t.arrayBlockIndices[l]&lt;0?(f.push(0),h.push(r),u.push(r),c.push(r+t.arrayBlockIndices[l])):(f.push(t.arrayBlockIndices[l]),h.push(t.arrayBlockIndices[l]+r),u.push(0),c.push(t.arrayBlockIndices[l]));for(var p=[],g=0;g&lt;o[l].length;g++)f[l]&lt;=o[l][g]&amp;&amp;o[l][g]&lt;h[l]&amp;&amp;p.push(o[l][g]-f[l]);d.push(p)}var v=[&quot;SS&quot;],m=[&quot;&#x27;use strict&#x27;&quot;],y=[];for(g=0;g&lt;r;++g)y.push([&quot;s&quot;,g,&quot;=SS[&quot;,g,&quot;]&quot;].join(&quot;&quot;));for(l=0;l&lt;t.arrayArgs.length;++l){for(v.push(&quot;a&quot;+l),v.push(&quot;t&quot;+l),v.push(&quot;p&quot;+l),g=0;g&lt;r;++g)y.push([&quot;t&quot;,l,&quot;p&quot;,g,&quot;=t&quot;,l,&quot;[&quot;,f[l]+g,&quot;]&quot;].join(&quot;&quot;));for(g=0;g&lt;Math.abs(t.arrayBlockIndices[l]);++g)y.push([&quot;t&quot;,l,&quot;b&quot;,g,&quot;=t&quot;,l,&quot;[&quot;,u[l]+g,&quot;]&quot;].join(&quot;&quot;))}for(l=0;l&lt;t.scalarArgs.length;++l)v.push(&quot;Y&quot;+l);if(t.shapeArgs.length&gt;0&amp;&amp;y.push(&quot;shape=SS.slice(0)&quot;),t.indexArgs.length&gt;0){var b=new Array(r);for(l=0;l&lt;r;++l)b[l]=&quot;0&quot;;y.push([&quot;index=[&quot;,b.join(&quot;,&quot;),&quot;]&quot;].join(&quot;&quot;))}for(l=0;l&lt;t.offsetArgs.length;++l){var x=t.offsetArgs[l],_=[];for(g=0;g&lt;x.offset.length;++g)0!==x.offset[g]&amp;&amp;(1===x.offset[g]?_.push([&quot;t&quot;,x.array,&quot;p&quot;,g].join(&quot;&quot;)):_.push([x.offset[g],&quot;*t&quot;,x.array,&quot;p&quot;,g].join(&quot;&quot;)));0===_.length?y.push(&quot;q&quot;+l+&quot;=0&quot;):y.push([&quot;q&quot;,l,&quot;=&quot;,_.join(&quot;+&quot;)].join(&quot;&quot;))}var w=n([].concat(t.pre.thisVars).concat(t.body.thisVars).concat(t.post.thisVars));for((y=y.concat(w)).length&gt;0&amp;&amp;m.push(&quot;var &quot;+y.join(&quot;,&quot;)),l=0;l&lt;t.arrayArgs.length;++l)m.push(&quot;p&quot;+l+&quot;|=0&quot;);t.pre.body.length&gt;3&amp;&amp;m.push(a(t.pre,t,s));var A=a(t.body,t,s),M=function(t){for(var e=0,r=t[0].length;e&lt;r;){for(var n=1;n&lt;t.length;++n)if(t[n][e]!==t[0][e])return e;++e}return e}(d);M&lt;r?m.push(function(t,e,r,n){for(var a=e.length,o=r.arrayArgs.length,s=r.blockSize,l=r.indexArgs.length&gt;0,u=[],c=0;c&lt;o;++c)u.push([&quot;var offset&quot;,c,&quot;=p&quot;,c].join(&quot;&quot;));for(c=t;c&lt;a;++c)u.push([&quot;for(var j&quot;+c+&quot;=SS[&quot;,e[c],&quot;]|0;j&quot;,c,&quot;&gt;0;){&quot;].join(&quot;&quot;)),u.push([&quot;if(j&quot;,c,&quot;&lt;&quot;,s,&quot;){&quot;].join(&quot;&quot;)),u.push([&quot;s&quot;,e[c],&quot;=j&quot;,c].join(&quot;&quot;)),u.push([&quot;j&quot;,c,&quot;=0&quot;].join(&quot;&quot;)),u.push([&quot;}else{s&quot;,e[c],&quot;=&quot;,s].join(&quot;&quot;)),u.push([&quot;j&quot;,c,&quot;-=&quot;,s,&quot;}&quot;].join(&quot;&quot;)),l&amp;&amp;u.push([&quot;index[&quot;,e[c],&quot;]=j&quot;,c].join(&quot;&quot;));for(c=0;c&lt;o;++c){for(var f=[&quot;offset&quot;+c],h=t;h&lt;a;++h)f.push([&quot;j&quot;,h,&quot;*t&quot;,c,&quot;p&quot;,e[h]].join(&quot;&quot;));u.push([&quot;p&quot;,c,&quot;=(&quot;,f.join(&quot;+&quot;),&quot;)&quot;].join(&quot;&quot;))}for(u.push(i(e,r,n)),c=t;c&lt;a;++c)u.push(&quot;}&quot;);return u.join(&quot;\\n&quot;)}(M,d[0],t,A)):m.push(i(d[0],t,A)),t.post.body.length&gt;3&amp;&amp;m.push(a(t.post,t,s)),t.debug&amp;&amp;console.log(&quot;-----Generated cwise routine for &quot;,e,&quot;:\\n&quot;+m.join(&quot;\\n&quot;)+&quot;\\n----------&quot;);var T=[t.funcName||&quot;unnamed&quot;,&quot;_cwise_loop_&quot;,o[0].join(&quot;s&quot;),&quot;m&quot;,M,function(t){for(var e=new Array(t.length),r=!0,n=0;n&lt;t.length;++n){var i=t[n],a=i.match(/\\d+/);a=a?a[0]:&quot;&quot;,0===i.charAt(0)?e[n]=&quot;u&quot;+i.charAt(1)+a:e[n]=i.charAt(0)+a,n&gt;0&amp;&amp;(r=r&amp;&amp;e[n]===e[n-1])}return r?e[0]:e.join(&quot;&quot;)}(s)].join(&quot;&quot;);return new Function([&quot;function &quot;,T,&quot;(&quot;,v.join(&quot;,&quot;),&quot;){&quot;,m.join(&quot;\\n&quot;),&quot;} return &quot;,T].join(&quot;&quot;))()}},{uniq:350}],79:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./compile.js&quot;);e.exports=function(t){var e=[&quot;&#x27;use strict&#x27;&quot;,&quot;var 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f(this,t)}}),c.at=function(t){if(t&lt;0)return new f(this,[]);for(var e=this.root,r=[];;){if(r.push(e),e.left){if(t&lt;e.left._count){e=e.left;continue}t-=e.left._count}if(!t)return new f(this,r);if(t-=1,!e.right)break;if(t&gt;=e.right._count)break;e=e.right}return new f(this,[])},c.ge=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a&lt;=0&amp;&amp;(i=n.length),r=a&lt;=0?r.left:r.right}return n.length=i,new f(this,n)},c.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a&lt;0&amp;&amp;(i=n.length),r=a&lt;0?r.left:r.right}return n.length=i,new f(this,n)},c.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a&gt;0&amp;&amp;(i=n.length),r=a&lt;=0?r.left:r.right}return n.length=i,new f(this,n)},c.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a&gt;=0&amp;&amp;(i=n.length),r=a&lt;0?r.left:r.right}return n.length=i,new f(this,n)},c.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new f(this,n);r=i&lt;=0?r.left:r.right}return new f(this,[])},c.remove=function(t){var e=this.find(t);return e?e.remove():this},c.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n&lt;=0?r.left:r.right}};var h=f.prototype;function d(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function p(t,e){return t&lt;e?-1:t&gt;e?1:0}Object.defineProperty(h,&quot;valid&quot;,{get:function(){return this._stack.length&gt;0}}),Object.defineProperty(h,&quot;node&quot;,{get:function(){return this._stack.length&gt;0?this._stack[this._stack.length-1]:null},enumerable:!0}),h.clone=function(){return new f(this.tree,this._stack.slice())},h.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var e=new Array(t.length),r=t[t.length-1];e[e.length-1]=new a(r._color,r.key,r.value,r.left,r.right,r._count);for(var c=t.length-2;c&gt;=0;--c){(r=t[c]).left===t[c+1]?e[c]=new a(r._color,r.key,r.value,e[c+1],r.right,r._count):e[c]=new a(r._color,r.key,r.value,r.left,e[c+1],r._count)}if((r=e[e.length-1]).left&amp;&amp;r.right){var f=e.length;for(r=r.left;r.right;)e.push(r),r=r.right;var h=e[f-1];e.push(new a(r._color,h.key,h.value,r.left,r.right,r._count)),e[f-1].key=r.key,e[f-1].value=r.value;for(c=e.length-2;c&gt;=f;--c)r=e[c],e[c]=new a(r._color,r.key,r.value,r.left,e[c+1],r._count);e[f-1].left=e[f]}if((r=e[e.length-1])._color===n){var p=e[e.length-2];p.left===r?p.left=null:p.right===r&amp;&amp;(p.right=null),e.pop();for(c=0;c&lt;e.length;++c)e[c]._count--;return new u(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&amp;&amp;d(r,r.right),r._color=i;for(c=0;c&lt;e.length-1;++c)e[c]._count--;return new u(this.tree._compare,e[0])}if(1===e.length)return new u(this.tree._compare,null);for(c=0;c&lt;e.length;++c)e[c]._count--;var g=e[e.length-2];return function(t){for(var e,r,a,u,c=t.length-1;c&gt;=0;--c){if(e=t[c],0===c)return void(e._color=i);if((r=t[c-1]).left===e){if((a=r.right).right&amp;&amp;a.right._color===n)return u=(a=r.right=o(a)).right=o(a.right),r.right=a.left,a.left=r,a.right=u,a._color=r._color,e._color=i,r._color=i,u._color=i,l(r),l(a),c&gt;1&amp;&amp;((f=t[c-2]).left===r?f.left=a:f.right=a),void(t[c-1]=a);if(a.left&amp;&amp;a.left._color===n)return u=(a=r.right=o(a)).left=o(a.left),r.right=u.left,a.left=u.right,u.left=r,u.right=a,u._color=r._color,r._color=i,a._color=i,e._color=i,l(r),l(a),l(u),c&gt;1&amp;&amp;((f=t[c-2]).left===r?f.left=u:f.right=u),void(t[c-1]=u);if(a._color===i){if(r._color===n)return r._color=i,void(r.right=s(n,a));r.right=s(n,a);continue}a=o(a),r.right=a.left,a.left=r,a._color=r._color,r._color=n,l(r),l(a),c&gt;1&amp;&amp;((f=t[c-2]).left===r?f.left=a:f.right=a),t[c-1]=a,t[c]=r,c+1&lt;t.length?t[c+1]=e:t.push(e),c+=2}else{if((a=r.left).left&amp;&amp;a.left._color===n)return u=(a=r.left=o(a)).left=o(a.left),r.left=a.right,a.right=r,a.left=u,a._color=r._color,e._color=i,r._color=i,u._color=i,l(r),l(a),c&gt;1&amp;&amp;((f=t[c-2]).right===r?f.right=a:f.left=a),void(t[c-1]=a);if(a.right&amp;&amp;a.right._color===n)return u=(a=r.left=o(a)).right=o(a.right),r.left=u.right,a.right=u.left,u.right=r,u.left=a,u._color=r._color,r._color=i,a._color=i,e._color=i,l(r),l(a),l(u),c&gt;1&amp;&amp;((f=t[c-2]).right===r?f.right=u:f.left=u),void(t[c-1]=u);if(a._color===i){if(r._color===n)return r._color=i,void(r.left=s(n,a));r.left=s(n,a);continue}var f;a=o(a),r.left=a.right,a.right=r,a._color=r._color,r._color=n,l(r),l(a),c&gt;1&amp;&amp;((f=t[c-2]).right===r?f.right=a:f.left=a),t[c-1]=a,t[c]=r,c+1&lt;t.length?t[c+1]=e:t.push(e),c+=2}}}(e),g.left===r?g.left=null:g.right=null,new u(this.tree._compare,e[0])},Object.defineProperty(h,&quot;key&quot;,{get:function(){if(this._stack.length&gt;0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(h,&quot;value&quot;,{get:function(){if(this._stack.length&gt;0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(h,&quot;index&quot;,{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&amp;&amp;(t=e[e.length-1].left._count);for(var n=e.length-2;n&gt;=0;--n)e[n+1]===e[n].right&amp;&amp;(++t,e[n].left&amp;&amp;(t+=e[n].left._count));return t},enumerable:!0}),h.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length&gt;0&amp;&amp;t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(h,&quot;hasNext&quot;,{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e&gt;0;--e)if(t[e-1].left===t[e])return!0;return!1}}),h.update=function(t){var e=this._stack;if(0===e.length)throw new Error(&quot;Can&#x27;t update empty node!&quot;);var r=new Array(e.length),n=e[e.length-1];r[r.length-1]=new a(n._color,n.key,t,n.left,n.right,n._count);for(var i=e.length-2;i&gt;=0;--i)(n=e[i]).left===e[i+1]?r[i]=new a(n._color,n.key,n.value,r[i+1],n.right,n._count):r[i]=new a(n._color,n.key,n.value,n.left,r[i+1],n._count);return new u(this.tree._compare,r[0])},h.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length&gt;0&amp;&amp;t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(h,&quot;hasPrev&quot;,{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e&gt;0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],93:[function(t,e,r){var n=[.9999999999998099,676.5203681218851,-1259.1392167224028,771.3234287776531,-176.6150291621406,12.507343278686905,-.13857109526572012,9984369578019572e-21,1.5056327351493116e-7],i=607/128,a=[.9999999999999971,57.15623566586292,-59.59796035547549,14.136097974741746,-.4919138160976202,3399464998481189e-20,4652362892704858e-20,-9837447530487956e-20,.0001580887032249125,-.00021026444172410488,.00021743961811521265,-.0001643181065367639,8441822398385275e-20,-26190838401581408e-21,36899182659531625e-22];function o(t){if(t&lt;0)return Number(&quot;0/0&quot;);for(var e=a[0],r=a.length-1;r&gt;0;--r)e+=a[r]/(t+r);var n=t+i+.5;return.5*Math.log(2*Math.PI)+(t+.5)*Math.log(n)-n+Math.log(e)-Math.log(t)}e.exports=function t(e){if(e&lt;.5)return Math.PI/(Math.sin(Math.PI*e)*t(1-e));if(e&gt;100)return Math.exp(o(e));e-=1;for(var r=n[0],i=1;i&lt;9;i++)r+=n[i]/(e+i);var a=e+7+.5;return Math.sqrt(2*Math.PI)*Math.pow(a,e+.5)*Math.exp(-a)*r},e.exports.log=o},{}],94:[function(t,e,r){e.exports=function(t,e){if(&quot;string&quot;!=typeof t)throw new TypeError(&quot;must specify type string&quot;);if(e=e||{},&quot;undefined&quot;==typeof document&amp;&amp;!e.canvas)return null;var r=e.canvas||document.createElement(&quot;canvas&quot;);&quot;number&quot;==typeof e.width&amp;&amp;(r.width=e.width);&quot;number&quot;==typeof e.height&amp;&amp;(r.height=e.height);var n,i=e;try{var a=[t];0===t.indexOf(&quot;webgl&quot;)&amp;&amp;a.push(&quot;experimental-&quot;+t);for(var o=0;o&lt;a.length;o++)if(n=r.getContext(a[o],i))return n}catch(t){n=null}return n||null}},{}],95:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e){var r=new c(t);return r.update(e),r};var n=t(&quot;./lib/text.js&quot;),i=t(&quot;./lib/lines.js&quot;),a=t(&quot;./lib/background.js&quot;),o=t(&quot;./lib/cube.js&quot;),s=t(&quot;./lib/ticks.js&quot;),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function u(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function c(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[&quot;sans-serif&quot;,&quot;sans-serif&quot;,&quot;sans-serif&quot;],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[&quot;auto&quot;,&quot;auto&quot;,&quot;auto&quot;],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;],this.labelEnable=[!0,!0,!0],this.labelFont=&quot;sans-serif&quot;,this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[&quot;auto&quot;,&quot;auto&quot;,&quot;auto&quot;],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=c.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&amp;&amp;Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s&lt;3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),u=e.bind(this,!0,function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]}),c=!1,f=!1;if(&quot;bounds&quot;in t)for(var h=t.bounds,d=0;d&lt;2;++d)for(var p=0;p&lt;3;++p)h[d][p]!==this.bounds[d][p]&amp;&amp;(f=!0),this.bounds[d][p]=h[d][p];if(&quot;ticks&quot;in t){r=t.ticks,c=!0,this.autoTicks=!1;for(d=0;d&lt;3;++d)this.tickSpacing[d]=0}else a(&quot;tickSpacing&quot;)&amp;&amp;(this.autoTicks=!0,f=!0);if(this._firstInit&amp;&amp;(&quot;ticks&quot;in t||&quot;tickSpacing&quot;in t||(this.autoTicks=!0),f=!0,c=!0,this._firstInit=!1),f&amp;&amp;this.autoTicks&amp;&amp;(r=s.create(this.bounds,this.tickSpacing),c=!0),c){for(d=0;d&lt;3;++d)r[d].sort(function(t,e){return t.x-e.x});s.equal(r,this.ticks)?c=!1:this.ticks=r}o(&quot;tickEnable&quot;),l(&quot;tickFont&quot;)&amp;&amp;(c=!0),a(&quot;tickSize&quot;),a(&quot;tickAngle&quot;),a(&quot;tickPad&quot;),u(&quot;tickColor&quot;);var g=l(&quot;labels&quot;);l(&quot;labelFont&quot;)&amp;&amp;(g=!0),o(&quot;labelEnable&quot;),a(&quot;labelSize&quot;),a(&quot;labelPad&quot;),u(&quot;labelColor&quot;),o(&quot;lineEnable&quot;),o(&quot;lineMirror&quot;),a(&quot;lineWidth&quot;),u(&quot;lineColor&quot;),o(&quot;lineTickEnable&quot;),o(&quot;lineTickMirror&quot;),a(&quot;lineTickLength&quot;),a(&quot;lineTickWidth&quot;),u(&quot;lineTickColor&quot;),o(&quot;gridEnable&quot;),a(&quot;gridWidth&quot;),u(&quot;gridColor&quot;),o(&quot;zeroEnable&quot;),u(&quot;zeroLineColor&quot;),a(&quot;zeroLineWidth&quot;),o(&quot;backgroundEnable&quot;),u(&quot;backgroundColor&quot;),this._text?this._text&amp;&amp;(g||c)&amp;&amp;this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&amp;&amp;c&amp;&amp;(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var d=[new h,new h,new h];function p(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c&lt;3;++c)if(e!==c){var f=a,h=s,d=o,p=l;u&amp;1&lt;&lt;c&amp;&amp;(f=s,h=a,d=l,p=o),f[c]=r[0][c],h[c]=r[1][c],i[c]&gt;0?(d[c]=-1,p[c]=0):(d[c]=0,p[c]=1)}}var g=[0,0,0],v={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var m=[0,0,0],y=[0,0,0],b=[0,0,0];f.draw=function(t){t=t||v;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,x=n[12],_=n[13],w=n[14],A=n[15],M=(s?2:1)*this.pixelRatio*(i[3]*x+i[7]*_+i[11]*w+i[15]*A)/e.drawingBufferHeight,T=0;T&lt;3;++T)this.lastCubeProps.cubeEdges[T]=f[T],this.lastCubeProps.axis[T]=h[T];var k=d;for(T=0;T&lt;3;++T)p(d[T],T,this.bounds,f,h);e=this.gl;var E,L=g;for(T=0;T&lt;3;++T)this.backgroundEnable[T]?L[T]=h[T]:L[T]=0;this._background.draw(r,n,i,a,L,this.backgroundColor),this._lines.bind(r,n,i,this);for(T=0;T&lt;3;++T){var S=[0,0,0];h[T]&gt;0?S[T]=a[1][T]:S[T]=a[0][T];for(var C=0;C&lt;2;++C){var O=(T+1+C)%3,R=(T+1+(1^C))%3;this.gridEnable[O]&amp;&amp;this._lines.drawGrid(O,R,this.bounds,S,this.gridColor[O],this.gridWidth[O]*this.pixelRatio)}for(C=0;C&lt;2;++C){O=(T+1+C)%3,R=(T+1+(1^C))%3;this.zeroEnable[R]&amp;&amp;Math.min(a[0][R],a[1][R])&lt;=0&amp;&amp;Math.max(a[0][R],a[1][R])&gt;=0&amp;&amp;this._lines.drawZero(O,R,this.bounds,S,this.zeroLineColor[R],this.zeroLineWidth[R]*this.pixelRatio)}}for(T=0;T&lt;3;++T){this.lineEnable[T]&amp;&amp;this._lines.drawAxisLine(T,this.bounds,k[T].primalOffset,this.lineColor[T],this.lineWidth[T]*this.pixelRatio),this.lineMirror[T]&amp;&amp;this._lines.drawAxisLine(T,this.bounds,k[T].mirrorOffset,this.lineColor[T],this.lineWidth[T]*this.pixelRatio);var P=u(m,k[T].primalMinor),z=u(y,k[T].mirrorMinor),I=this.lineTickLength;for(C=0;C&lt;3;++C){var N=M/r[5*C];P[C]*=I[C]*N,z[C]*=I[C]*N}this.lineTickEnable[T]&amp;&amp;this._lines.drawAxisTicks(T,k[T].primalOffset,P,this.lineTickColor[T],this.lineTickWidth[T]*this.pixelRatio),this.lineTickMirror[T]&amp;&amp;this._lines.drawAxisTicks(T,k[T].mirrorOffset,z,this.lineTickColor[T],this.lineTickWidth[T]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var D,F;function j(t){(F=[0,0,0])[t]=1}function B(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a&gt;0&amp;&amp;l&gt;0?j(n):a&gt;0&amp;&amp;l&lt;0?j(n):a&lt;0&amp;&amp;l&gt;0?j(n):a&lt;0&amp;&amp;l&lt;0?j(n):o&gt;0&amp;&amp;s&gt;0?j(i):o&gt;0&amp;&amp;s&lt;0?j(i):o&lt;0&amp;&amp;s&gt;0?j(i):o&lt;0&amp;&amp;s&lt;0&amp;&amp;j(i)}for(T=0;T&lt;3;++T){var U=k[T].primalMinor,V=k[T].mirrorMinor,H=u(b,k[T].primalOffset);for(C=0;C&lt;3;++C)this.lineTickEnable[T]&amp;&amp;(H[C]+=M*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var q=[0,0,0];if(q[T]=1,this.tickEnable[T]){-3600===this.tickAngle[T]?(this.tickAngle[T]=0,this.tickAlign[T]=&quot;auto&quot;):this.tickAlign[T]=-1,D=1,&quot;auto&quot;===(E=[this.tickAlign[T],.5,D])[0]?E[0]=0:E[0]=parseInt(&quot;&quot;+E[0]),F=[0,0,0],B(T,U,V);for(C=0;C&lt;3;++C)H[C]+=M*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(T,this.tickSize[T],this.tickAngle[T],H,this.tickColor[T],q,F,E)}if(this.labelEnable[T]){D=0,F=[0,0,0],this.labels[T].length&gt;4&amp;&amp;(j(T),D=1),&quot;auto&quot;===(E=[this.labelAlign[T],.5,D])[0]?E[0]=0:E[0]=parseInt(&quot;&quot;+E[0]);for(C=0;C&lt;3;++C)H[C]+=M*U[C]*this.labelPad[C]/r[5*C];H[T]+=.5*(a[0][T]+a[1][T]),this._text.drawLabel(T,this.labelSize[T],this.labelAngle[T],H,this.labelColor[T],[0,0,0],F,E)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{&quot;./lib/background.js&quot;:96,&quot;./lib/cube.js&quot;:97,&quot;./lib/lines.js&quot;:98,&quot;./lib/text.js&quot;:100,&quot;./lib/ticks.js&quot;:101}],96:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t){for(var e=[],r=[],s=0,l=0;l&lt;3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],d=-1;d&lt;=1;d+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=d,h[l]=d;for(var p=-1;p&lt;=1;p+=2){f[u]=p;for(var g=-1;g&lt;=1;g+=2)f[c]=g,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var v=u;u=c,c=v}var m=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),b=i(t,[{buffer:m,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:m,type:t.FLOAT,size:3,offset:12,stride:24}],y),x=a(t);return x.attributes.position.location=0,x.attributes.normal.location=1,new o(t,m,b,x)};var n=t(&quot;gl-buffer&quot;),i=t(&quot;gl-vao&quot;),a=t(&quot;./shaders&quot;).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s&lt;3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{&quot;./shaders&quot;:99,&quot;gl-buffer&quot;:103,&quot;gl-vao&quot;:168}],97:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e,r,a,d){i(s,e,t),i(s,r,s);for(var y=0,b=0;b&lt;2;++b){c[2]=a[b][2];for(var x=0;x&lt;2;++x){c[1]=a[x][1];for(var _=0;_&lt;2;++_)c[0]=a[_][0],h(l[y],c,s),y+=1}}for(var w=-1,b=0;b&lt;8;++b){for(var A=l[b][3],M=0;M&lt;3;++M)u[b][M]=l[b][M]/A;d&amp;&amp;(u[b][2]*=-1),A&lt;0&amp;&amp;(w&lt;0?w=b:u[b][2]&lt;u[w][2]&amp;&amp;(w=b))}if(w&lt;0){w=0;for(var T=0;T&lt;3;++T){for(var k=(T+2)%3,E=(T+1)%3,L=-1,S=-1,C=0;C&lt;2;++C){var O=C&lt;&lt;T,R=O+(C&lt;&lt;k)+(1-C&lt;&lt;E),P=O+(1-C&lt;&lt;k)+(C&lt;&lt;E);o(u[O],u[R],u[P],f)&lt;0||(C?L=1:S=1)}if(L&lt;0||S&lt;0)S&gt;L&amp;&amp;(w|=1&lt;&lt;T);else{for(var C=0;C&lt;2;++C){var O=C&lt;&lt;T,R=O+(C&lt;&lt;k)+(1-C&lt;&lt;E),P=O+(1-C&lt;&lt;k)+(C&lt;&lt;E),z=p([l[O],l[R],l[P],l[O+(1&lt;&lt;k)+(1&lt;&lt;E)]]);C?L=z:S=z}S&gt;L&amp;&amp;(w|=1&lt;&lt;T)}}}for(var I=7^w,N=-1,b=0;b&lt;8;++b)b!==w&amp;&amp;b!==I&amp;&amp;(N&lt;0?N=b:u[N][1]&gt;u[b][1]&amp;&amp;(N=b));for(var D=-1,b=0;b&lt;3;++b){var F=N^1&lt;&lt;b;if(F!==w&amp;&amp;F!==I){D&lt;0&amp;&amp;(D=F);var E=u[F];E[0]&lt;u[D][0]&amp;&amp;(D=F)}}for(var j=-1,b=0;b&lt;3;++b){var F=N^1&lt;&lt;b;if(F!==w&amp;&amp;F!==I&amp;&amp;F!==D){j&lt;0&amp;&amp;(j=F);var E=u[F];E[0]&gt;u[j][0]&amp;&amp;(j=F)}}var B=g;B[0]=B[1]=B[2]=0,B[n.log2(D^N)]=N&amp;D,B[n.log2(N^j)]=N&amp;j;var U=7^j;U===w||U===I?(U=7^D,B[n.log2(j^U)]=U&amp;j):B[n.log2(D^U)]=U&amp;D;for(var V=v,H=w,T=0;T&lt;3;++T)V[T]=H&amp;1&lt;&lt;T?-1:1;return m};var n=t(&quot;bit-twiddle&quot;),i=t(&quot;gl-mat4/multiply&quot;),a=t(&quot;split-polygon&quot;),o=t(&quot;robust-orientation&quot;),s=new Array(16),l=new Array(8),u=new Array(8),c=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n&lt;4;++n){t[n]=r[12+n];for(var i=0;i&lt;3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t&lt;8;++t)l[t]=[1,1,1,1],u[t]=[1,1,1]}();var d=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function p(t){for(var e=0;e&lt;d.length;++e)if((t=a.positive(t,d[e])).length&lt;3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1&lt;t.length;++e){var s=t[e],l=t[e+1],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var g=[1,1,1],v=[0,0,0],m={cubeEdges:g,axis:v}},{&quot;bit-twiddle&quot;:36,&quot;gl-mat4/multiply&quot;:126,&quot;robust-orientation&quot;:322,&quot;split-polygon&quot;:339}],98:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f&lt;3;++f){for(var h=o.length/3|0,p=0;p&lt;r[f].length;++p){var g=+r[f][p].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var v=o.length/3|0;s[f]=h,l[f]=v-h;for(var h=o.length/3|0,m=0;m&lt;r[f].length;++m){var g=+r[f][m].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var v=o.length/3|0;u[f]=h,c[f]=v-h}var y=n(t,new Float32Array(o)),b=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),x=a(t);return x.attributes.position.location=0,new d(t,y,b,x,l,s,c,u)};var n=t(&quot;gl-buffer&quot;),i=t(&quot;gl-vao&quot;),a=t(&quot;./shaders&quot;).line,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function d(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var p=d.prototype;p.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,this.vao.bind()},p.unbind=function(){this.vao.unbind()},p.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},p.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},p.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var d=h(u,n);d[e]+=r[0][e],this.shader.uniforms.offset=d;var p=f(o);p[t]=1,this.shader.uniforms.majorAxis=p;var g=f(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},p.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;var d=f(l);d[e]=1,this.shader.uniforms.screenAxis=d,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},p.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{&quot;./shaders&quot;:99,&quot;gl-buffer&quot;:103,&quot;gl-vao&quot;:168}],99:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;glslify&quot;),i=t(&quot;gl-shader&quot;),a=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n&quot;]),o=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}&quot;]);r.line=function(t){return i(t,a,o,null,[{name:&quot;position&quot;,type:&quot;vec3&quot;}])};var s=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a &lt; 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b &gt; HALF_PI) &amp;&amp; (b &lt;= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b &lt; (      ratio) * HALF_PI) ? 0.0 :\\n    (b &lt; (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b &lt; (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b &lt; (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option &gt;  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &amp;&amp;\\n                   (axis.y == 0.0) &amp;&amp;\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) &lt; 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) &lt; 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) &gt; 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}&quot;]),l=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}&quot;]);r.text=function(t){return i(t,s,l,null,[{name:&quot;position&quot;,type:&quot;vec3&quot;}])};var u=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) &gt; 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}&quot;]),c=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}&quot;]);r.bg=function(t){return i(t,u,c,null,[{name:&quot;position&quot;,type:&quot;vec3&quot;},{name:&quot;normal&quot;,type:&quot;vec3&quot;}])}},{&quot;gl-shader&quot;:149,glslify:250}],100:[function(t,e,r){(function(r){&quot;use strict&quot;;e.exports=function(t,e,r,a,s,l){var c=n(t),f=i(t,[{buffer:c,size:3}]),h=o(t);h.attributes.position.location=0;var d=new u(t,h,c,f);return d.update(e,r,a,s,l),d};var n=t(&quot;gl-buffer&quot;),i=t(&quot;gl-vao&quot;),a=t(&quot;vectorize-text&quot;),o=t(&quot;./shaders&quot;).text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function u(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var c=u.prototype,f=[0,0];c.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},c.unbind=function(){this.vao.unbind()},c.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var u=l[r];u||(u=l[r]={});var c=u[e];c||(c=u[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn(&#x27;error vectorizing text:&quot;&#x27;+t+&#x27;&quot; error:&#x27;,e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:&quot;center&quot;,textBaseline:&quot;middle&quot;,lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=c.positions,d=c.cells,p=0,g=d.length;p&lt;g;++p)for(var v=d[p],m=2;m&gt;=0;--m){var y=h[v[m]];o.push(f*y[0],-f*y[1],t)}}for(var u=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],d={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},p=0;p&lt;3;++p){f[p]=o.length/3|0,s(.5*(t[0][p]+t[1][p]),e[p],r[p],12,1.25,d),h[p]=(o.length/3|0)-f[p],u[p]=o.length/3|0;for(var g=0;g&lt;n[p].length;++g)n[p][g].text&amp;&amp;s(n[p][g].x,n[p][g].text,n[p][g].font||i,n[p][g].fontSize||12,1.25,d);c[p]=(o.length/3|0)-u[p]}this.buffer.update(o),this.tickOffset=u,this.tickCount=c,this.labelOffset=f,this.labelCount=h},c.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&amp;&amp;(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},c.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&amp;&amp;(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},c.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this,t(&quot;_process&quot;))},{&quot;./shaders&quot;:99,_process:308,&quot;gl-buffer&quot;:103,&quot;gl-vao&quot;:168,&quot;vectorize-text&quot;:351}],101:[function(t,e,r){&quot;use strict&quot;;function n(t,e){var r=t+&quot;&quot;,n=r.indexOf(&quot;.&quot;),i=0;n&gt;=0&amp;&amp;(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+&quot;&quot;;if(s.indexOf(&quot;e&quot;)&gt;=0)return s;var l=o/a,u=o%a;o&lt;0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=&quot;&quot;+l;if(o&lt;0&amp;&amp;(c=&quot;-&quot;+c),i){for(var f=&quot;&quot;+u;f.length&lt;i;)f=&quot;0&quot;+f;return c+&quot;.&quot;+f}return c}r.create=function(t,e){for(var r=[],i=0;i&lt;3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]&lt;=t[1][i];++o)a.push({x:o*e[i],text:n(e[i],o)});for(var o=-1;o*e[i]&gt;=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r},r.equal=function(t,e){for(var r=0;r&lt;3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n&lt;t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},{}],102:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e,r,l,f){var h=e.model||u,d=e.view||u,m=e.projection||u,y=e._ortho||!1,b=t.bounds,x=(f=f||a(h,d,m,b,y)).axis;o(c,d,h),o(c,m,c);for(var _=g,w=0;w&lt;3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var A=n(s(c,c));s(c,c);for(var M=0;M&lt;3;++M){var T=(M+1)%3,k=(M+2)%3,E=v;t:for(var w=0;w&lt;2;++w){var L=[];if(x[M]&lt;0!=!!w){E[M]=b[w][M];for(var S=0;S&lt;2;++S){E[T]=b[S^w][T];for(var C=0;C&lt;2;++C)E[k]=b[C^S^w][k],L.push(E.slice())}for(var O=y?5:4,S=O;S===O;++S){if(0===L.length)continue t;L=i.positive(L,A[S])}for(var S=0;S&lt;L.length;++S)for(var k=L[S],R=p(v,c,k,r,l),C=0;C&lt;3;++C)_[C].lo=Math.min(_[C].lo,k[C]),_[C].hi=Math.max(_[C].hi,k[C]),C!==M&amp;&amp;(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(R[C])))}}}return _};var n=t(&quot;extract-frustum-planes&quot;),i=t(&quot;split-polygon&quot;),a=t(&quot;./lib/cube.js&quot;),o=t(&quot;gl-mat4/multiply&quot;),s=t(&quot;gl-mat4/transpose&quot;),l=t(&quot;gl-vec4/transformMat4&quot;),u=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],d=[0,0,0,1];function p(t,e,r,n,i){for(var a=0;a&lt;3;++a){for(var o=h,s=d,u=0;u&lt;3;++u)s[u]=o[u]=r[u];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]&lt;0&amp;&amp;(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]&lt;0&amp;&amp;(t[a]=1/0);var c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var g=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],v=[0,0,0]},{&quot;./lib/cube.js&quot;:97,&quot;extract-frustum-planes&quot;:89,&quot;gl-mat4/multiply&quot;:126,&quot;gl-mat4/transpose&quot;:135,&quot;gl-vec4/transformMat4&quot;:239,&quot;split-polygon&quot;:339}],103:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;typedarray-pool&quot;),i=t(&quot;ndarray-ops&quot;),a=t(&quot;ndarray&quot;),o=[&quot;uint8&quot;,&quot;uint8_clamped&quot;,&quot;uint16&quot;,&quot;uint32&quot;,&quot;int8&quot;,&quot;int16&quot;,&quot;int32&quot;,&quot;float32&quot;];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function u(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a&lt;0)return t.bufferData(e,i,n),o;if(o+a&gt;r)throw new Error(&quot;gl-buffer: If resizing buffer, must not specify offset&quot;);return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a&lt;i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(&quot;number&quot;!=typeof e&amp;&amp;(e=-1),this.bind(),&quot;object&quot;==typeof t&amp;&amp;&quot;undefined&quot;!=typeof t.shape){var r=t.dtype;if(o.indexOf(r)&lt;0&amp;&amp;(r=&quot;float32&quot;),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(&quot;OES_element_index_uint&quot;)&amp;&amp;&quot;uint16&quot;!==r?&quot;uint32&quot;:&quot;uint16&quot;;if(r===t.dtype&amp;&amp;function(t,e){for(var r=1,n=e.length-1;n&gt;=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&amp;&amp;t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e&lt;0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,&quot;uint16&quot;):c(t,&quot;float32&quot;),this.length=u(this.gl,this.type,this.length,this.usage,e&lt;0?f:f.subarray(0,t.length),e),n.free(f)}else if(&quot;object&quot;==typeof t&amp;&amp;&quot;number&quot;==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if(&quot;number&quot;!=typeof t&amp;&amp;void 0!==t)throw new Error(&quot;gl-buffer: Invalid data type&quot;);if(e&gt;=0)throw new Error(&quot;gl-buffer: Cannot specify offset when resizing buffer&quot;);(t|=0)&lt;=0&amp;&amp;(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&amp;&amp;r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(&quot;gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER&quot;);if(n!==t.DYNAMIC_DRAW&amp;&amp;n!==t.STATIC_DRAW&amp;&amp;n!==t.STREAM_DRAW)throw new Error(&quot;gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW&quot;);var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:286,&quot;ndarray-ops&quot;:280,&quot;typedarray-pool&quot;:348}],104:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;gl-vec3&quot;),i=function(t,e){for(var r=0;r&lt;t.length;r++)if(t[r]&gt;=e)return r-1;return r},a=n.create(),o=n.create(),s=function(t,e,r){return t&lt;e?e:t&gt;r?r:t},l=function(t,e,r,l){var u=t[0],c=t[1],f=t[2],h=r[0].length,d=r[1].length,p=r[2].length,g=i(r[0],u),v=i(r[1],c),m=i(r[2],f),y=g+1,b=v+1,x=m+1;if(l&amp;&amp;(g=s(g,0,h-1),y=s(y,0,h-1),v=s(v,0,d-1),b=s(b,0,d-1),m=s(m,0,p-1),x=s(x,0,p-1)),g&lt;0||v&lt;0||m&lt;0||y&gt;=h||b&gt;=d||x&gt;=p)return n.create();var _=(u-r[0][g])/(r[0][y]-r[0][g]),w=(c-r[1][v])/(r[1][b]-r[1][v]),A=(f-r[2][m])/(r[2][x]-r[2][m]);(_&lt;0||_&gt;1||isNaN(_))&amp;&amp;(_=0),(w&lt;0||w&gt;1||isNaN(w))&amp;&amp;(w=0),(A&lt;0||A&gt;1||isNaN(A))&amp;&amp;(A=0);var M=m*h*d,T=x*h*d,k=v*h,E=b*h,L=g,S=y,C=e[k+M+L],O=e[k+M+S],R=e[E+M+L],P=e[E+M+S],z=e[k+T+L],I=e[k+T+S],N=e[E+T+L],D=e[E+T+S],F=n.create();return n.lerp(F,C,O,_),n.lerp(a,R,P,_),n.lerp(F,F,a,w),n.lerp(a,z,I,_),n.lerp(o,N,D,_),n.lerp(a,a,o,w),n.lerp(F,F,a,A),F};e.exports=function(t,e){var r;r=t.positions?t.positions:function(t){for(var e=t[0],r=t[1],n=t[2],i=[],a=0;a&lt;n.length;a++)for(var o=0;o&lt;r.length;o++)for(var s=0;s&lt;e.length;s++)i.push([n[a],r[o],e[s]]);return i}(t.meshgrid);var i=t.meshgrid,a=t.vectors,o={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vertexNormals:[],vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&amp;&amp;(e[0]=[0,0,0],e[1]=[0,0,0]),o;for(var s=0,u=1/0,c=-1/0,f=1/0,h=-1/0,d=1/0,p=-1/0,g=null,v=null,m=[],y=1/0,b=0;b&lt;r.length;b++){var x,_=r[b];u=Math.min(_[0],u),c=Math.max(_[0],c),f=Math.min(_[1],f),h=Math.max(_[1],h),d=Math.min(_[2],d),p=Math.max(_[2],p),x=i?l(_,a,i,!0):a[b],n.length(x)&gt;s&amp;&amp;(s=n.length(x)),b&amp;&amp;(y=Math.min(y,2*n.distance(g,_)/(n.length(v)+n.length(x)))),g=_,v=x,m.push(x)}var w=[u,f,d],A=[c,h,p];e&amp;&amp;(e[0]=w,e[1]=A),0===s&amp;&amp;(s=1);var M=1/s;isFinite(y)&amp;&amp;!isNaN(y)||(y=1),o.vectorScale=y;var T=function(t,e,r){var i=n.create();return void 0!==t&amp;&amp;n.set(i,t,e,r),i}(0,1,0),k=t.coneSize||.5;t.absoluteConeSize&amp;&amp;(k=t.absoluteConeSize*M),o.coneScale=k;b=0;for(var E=0;b&lt;r.length;b++)for(var L=(_=r[b])[0],S=_[1],C=_[2],O=m[b],R=n.length(O)*M,P=0;P&lt;8;P++){o.positions.push([L,S,C,E++]),o.positions.push([L,S,C,E++]),o.positions.push([L,S,C,E++]),o.positions.push([L,S,C,E++]),o.positions.push([L,S,C,E++]),o.positions.push([L,S,C,E++]),o.vectors.push(O),o.vectors.push(O),o.vectors.push(O),o.vectors.push(O),o.vectors.push(O),o.vectors.push(O),o.vertexIntensity.push(R,R,R),o.vertexIntensity.push(R,R,R),o.vertexNormals.push(T,T,T),o.vertexNormals.push(T,T,T);var z=o.positions.length;o.cells.push([z-6,z-5,z-4],[z-3,z-2,z-1])}return o},e.exports.createConeMesh=t(&quot;./lib/conemesh&quot;)},{&quot;./lib/conemesh&quot;:105,&quot;gl-vec3&quot;:187}],105:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;gl-shader&quot;),i=t(&quot;gl-buffer&quot;),a=t(&quot;gl-vao&quot;),o=t(&quot;gl-texture2d&quot;),s=t(&quot;normals&quot;),l=t(&quot;gl-mat4/multiply&quot;),u=t(&quot;gl-mat4/invert&quot;),c=t(&quot;ndarray&quot;),f=t(&quot;colormap&quot;),h=t(&quot;simplicial-complex-contour&quot;),d=t(&quot;typedarray-pool&quot;),p=t(&quot;./shaders&quot;),g=p.meshShader,v=p.pickShader,m=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function y(t,e,r,n,i,a,o,s,l,u,c,f,h,d,p,g,v,y,b,x,_,w,A,M){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleNormals=u,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.lineWidth=1,this.edgePositions=f,this.edgeColors=d,this.edgeUVs=p,this.edgeIds=h,this.edgeVAO=g,this.edgeCount=0,this.pointPositions=v,this.pointColors=b,this.pointUVs=x,this.pointSizes=_,this.pointIds=y,this.pointVAO=w,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,this.contourVAO=M,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=m,this._view=m,this._projection=m,this._resolution=[1,1]}var b=y.prototype;function x(t){var e=n(t,v.vertex,v.fragment,null,v.attributes);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.vector.location=5,e}b.isOpaque=function(){return this.opacity&gt;=1},b.isTransparent=function(){return this.opacity&lt;1},b.pickSlots=1,b.setPickBase=function(t){this.pickId=t},b.highlight=function(t){if(t&amp;&amp;this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=d.mallocFloat32(6*a),s=0,l=0;l&lt;a;++l)for(var u=r[l],c=0;c&lt;2;++c){var f=u[0];2===u.length&amp;&amp;(f=u[c]);for(var p=n[f][0],g=n[f][1],v=i[f],m=1-v,y=this.positions[p],b=this.positions[g],x=0;x&lt;3;++x)o[s++]=v*y[x]+m*b[x]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),d.free(o)}else this.contourCount=0},b.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,&quot;contourEnable&quot;in t&amp;&amp;(this.contourEnable=t.contourEnable),&quot;contourColor&quot;in t&amp;&amp;(this.contourColor=t.contourColor),&quot;lineWidth&quot;in t&amp;&amp;(this.lineWidth=t.lineWidth),&quot;lightPosition&quot;in t&amp;&amp;(this.lightPosition=t.lightPosition),&quot;opacity&quot;in t&amp;&amp;(this.opacity=t.opacity),&quot;ambient&quot;in t&amp;&amp;(this.ambientLight=t.ambient),&quot;diffuse&quot;in t&amp;&amp;(this.diffuseLight=t.diffuse),&quot;specular&quot;in t&amp;&amp;(this.specularLight=t.specular),&quot;roughness&quot;in t&amp;&amp;(this.roughness=t.roughness),&quot;fresnel&quot;in t&amp;&amp;(this.fresnel=t.fresnel),void 0!==t.vectorScale&amp;&amp;(this.vectorScale=t.vectorScale),void 0!==t.coneScale&amp;&amp;(this.coneScale=t.coneScale),void 0!==t.coneOffset&amp;&amp;(this.coneOffset=t.coneOffset),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&amp;&amp;(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=f({colormap:t,nshades:256,format:&quot;rgba&quot;}),r=new Uint8Array(1024),n=0;n&lt;256;++n){for(var i=e[n],a=0;a&lt;3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&amp;&amp;r&amp;&amp;i){var a=[],l=[],u=[],h=[],d=[],p=[],g=[],v=[],m=[],y=[],b=[],x=[],_=[],w=[],A=[];this.cells=r,this.positions=n;var M=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,E=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&amp;&amp;!T&amp;&amp;(T=s.faceNormals(r,n,E)),T||M||(M=s.vertexNormals(r,n,k));var L=t.vertexColors,S=t.cellColors,C=t.meshColor||[1,1,1,1],O=t.vertexUVs,R=t.vertexIntensity,P=t.cellUVs,z=t.cellIntensity,I=1/0,N=-1/0;if(!O&amp;&amp;!P)if(R)if(t.vertexIntensityBounds)I=+t.vertexIntensityBounds[0],N=+t.vertexIntensityBounds[1];else for(var D=0;D&lt;R.length;++D){var F=R[D];I=Math.min(I,F),N=Math.max(N,F)}else if(z)for(D=0;D&lt;z.length;++D){F=z[D];I=Math.min(I,F),N=Math.max(N,F)}else for(D=0;D&lt;n.length;++D){F=n[D][2];I=Math.min(I,F),N=Math.max(N,F)}this.intensity=R||(z?function(t,e,r){for(var n=new Array(e),i=0;i&lt;e;++i)n[i]=0;var a=t.length;for(i=0;i&lt;a;++i)for(var o=t[i],s=0;s&lt;o.length;++s)n[o[s]]=r[i];return n}(r,n.length,z):function(t){for(var e=t.length,r=new Array(e),n=0;n&lt;e;++n)r[n]=t[n][2];return r}(n));var j=t.pointSizes,B=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(D=0;D&lt;n.length;++D)for(var U=n[D],V=0;V&lt;3;++V)!isNaN(U[V])&amp;&amp;isFinite(U[V])&amp;&amp;(this.bounds[0][V]=Math.min(this.bounds[0][V],U[V]),this.bounds[1][V]=Math.max(this.bounds[1][V],U[V]));var H=0,q=0,G=0;t:for(D=0;D&lt;r.length;++D){var X=r[D];switch(X.length){case 1:for(U=n[Y=X[0]],V=0;V&lt;3;++V)if(isNaN(U[V])||!isFinite(U[V]))continue t;b.push(U[0],U[1],U[2],U[3]),3===(Z=L?L[Y]:S?S[D]:C).length?x.push(Z[0],Z[1],Z[2],1):x.push(Z[0],Z[1],Z[2],Z[3]),Q=O?O[Y]:R?[(R[Y]-I)/(N-I),0]:P?P[D]:z?[(z[D]-I)/(N-I),0]:[(U[2]-I)/(N-I),0],_.push(Q[0],Q[1]),j?w.push(j[Y]):w.push(B),A.push(D),G+=1;break;case 2:for(V=0;V&lt;2;++V){U=n[Y=X[V]];for(var W=0;W&lt;3;++W)if(isNaN(U[W])||!isFinite(U[W]))continue t}for(V=0;V&lt;2;++V){U=n[Y=X[V]];g.push(U[0],U[1],U[2]),3===(Z=L?L[Y]:S?S[D]:C).length?v.push(Z[0],Z[1],Z[2],1):v.push(Z[0],Z[1],Z[2],Z[3]),Q=O?O[Y]:R?[(R[Y]-I)/(N-I),0]:P?P[D]:z?[(z[D]-I)/(N-I),0]:[(U[2]-I)/(N-I),0],m.push(Q[0],Q[1]),y.push(D)}q+=1;break;case 3:for(V=0;V&lt;3;++V)for(U=n[Y=X[V]],W=0;W&lt;3;++W)if(isNaN(U[W])||!isFinite(U[W]))continue t;for(V=0;V&lt;3;++V){var Y;U=n[Y=X[2-V]];a.push(U[0],U[1],U[2],U[3]);var Z,Q,$,J=i[Y];l.push(J[0],J[1],J[2]),3===(Z=L?L[Y]:S?S[D]:C).length?u.push(Z[0],Z[1],Z[2],1):u.push(Z[0],Z[1],Z[2],Z[3]),Q=O?O[Y]:R?[(R[Y]-I)/(N-I),0]:P?P[D]:z?[(z[D]-I)/(N-I),0]:[(U[2]-I)/(N-I),0],d.push(Q[0],Q[1]),$=M?M[Y]:T[D],h.push($[0],$[1],$[2]),p.push(D)}H+=1}}this.pointCount=G,this.edgeCount=q,this.triangleCount=H,this.pointPositions.update(b),this.pointColors.update(x),this.pointUVs.update(_),this.pointSizes.update(w),this.pointIds.update(new Uint32Array(A)),this.edgePositions.update(g),this.edgeColors.update(v),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(y)),this.trianglePositions.update(a),this.triangleVectors.update(l),this.triangleColors.update(u),this.triangleUVs.update(d),this.triangleNormals.update(h),this.triangleIds.update(new Uint32Array(p))}},b.drawTransparent=b.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||m,n=t.view||m,i=t.projection||m,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o&lt;3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:m.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);l(c,s.view,s.model),l(c,s.projection,c),u(c,c);for(o=0;o&lt;3;++o)s.eyePosition[o]=c[12+o]/c[15];var f=c[15];for(o=0;o&lt;3;++o)f+=this.lightPosition[o]*c[4*o+3];for(o=0;o&lt;3;++o){for(var h=c[12+o],d=0;d&lt;3;++d)h+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=h/f}if(this.triangleCount&gt;0){var p=this.triShader;p.bind(),p.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},b.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||m,n=t.view||m,i=t.projection||m,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o&lt;3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount&gt;0&amp;&amp;(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount&gt;0&amp;&amp;(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind())},b.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3);return{index:Math.floor(r[1]/48),position:n,dataCoordinate:n}},b.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose()},e.exports=function(t,e){1===arguments.length&amp;&amp;(t=(e=t).gl);var r=e.triShader||function(t){var e=n(t,g.vertex,g.fragment,null,g.attributes);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.vector.location=5,e}(t),s=x(t),l=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));l.generateMipmap(),l.minFilter=t.LINEAR_MIPMAP_LINEAR,l.magFilter=t.LINEAR;var u=i(t),f=i(t),h=i(t),d=i(t),p=i(t),v=i(t),m=a(t,[{buffer:u,type:t.FLOAT,size:4},{buffer:v,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:h,type:t.FLOAT,size:4},{buffer:d,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:3},{buffer:f,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),A=i(t),M=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:A,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),T=i(t),k=i(t),E=i(t),L=i(t),S=i(t),C=a(t,[{buffer:T,type:t.FLOAT,size:3},{buffer:S,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:E,type:t.FLOAT,size:2},{buffer:L,type:t.FLOAT,size:1}]),O=i(t),R=new y(t,l,r,s,u,f,v,h,d,p,m,b,A,_,w,M,T,S,k,E,L,C,O,a(t,[{buffer:O,type:t.FLOAT,size:3}]));return R.update(e),R}},{&quot;./shaders&quot;:106,colormap:68,&quot;gl-buffer&quot;:103,&quot;gl-mat4/invert&quot;:124,&quot;gl-mat4/multiply&quot;:126,&quot;gl-shader&quot;:149,&quot;gl-texture2d&quot;:164,&quot;gl-vao&quot;:168,ndarray:286,normals:288,&quot;simplicial-complex-contour&quot;:330,&quot;typedarray-pool&quot;:348}],106:[function(t,e,r){var n=t(&quot;glslify&quot;),i=n([&quot;precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn&#x27;t (0,0,0).\\n  // From the above if-statement we have ||a|| &gt; 0  U  ||b|| &gt; 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x &gt; v.z*v.z || v.y*v.y &gt; v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex &gt; 2.99 &amp;&amp; segmentIndex &lt; 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex &gt; 0.99 &amp;&amp;  segmentIndex &lt; 1.01) ||\\n    (segmentIndex &gt; 4.99 &amp;&amp;  segmentIndex &lt; 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex &lt; 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\nuniform float vectorScale;\\nuniform float coneScale;\\n\\nuniform float coneOffset;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data\\n           , f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model &amp; view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal,0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n&quot;]),a=n([&quot;#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular\\n            , opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data\\n           , f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n&quot;]),o=n([&quot;precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn&#x27;t (0,0,0).\\n  // From the above if-statement we have ||a|| &gt; 0  U  ||b|| &gt; 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x &gt; v.z*v.z || v.y*v.y &gt; v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex &gt; 2.99 &amp;&amp; segmentIndex &lt; 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex &gt; 0.99 &amp;&amp;  segmentIndex &lt; 1.01) ||\\n    (segmentIndex &gt; 4.99 &amp;&amp;  segmentIndex &lt; 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex &lt; 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nuniform float vectorScale;\\nuniform float coneScale;\\nuniform float coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n&quot;]),s=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}&quot;]);r.meshShader={vertex:i,fragment:a,attributes:[{name:&quot;position&quot;,type:&quot;vec4&quot;},{name:&quot;normal&quot;,type:&quot;vec3&quot;},{name:&quot;color&quot;,type:&quot;vec4&quot;},{name:&quot;uv&quot;,type:&quot;vec2&quot;},{name:&quot;vector&quot;,type:&quot;vec3&quot;}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:&quot;position&quot;,type:&quot;vec4&quot;},{name:&quot;id&quot;,type:&quot;vec4&quot;},{name:&quot;vector&quot;,type:&quot;vec3&quot;}]}},{glslify:250}],107:[function(t,e,r){e.exports={0:&quot;NONE&quot;,1:&quot;ONE&quot;,2:&quot;LINE_LOOP&quot;,3:&quot;LINE_STRIP&quot;,4:&quot;TRIANGLES&quot;,5:&quot;TRIANGLE_STRIP&quot;,6:&quot;TRIANGLE_FAN&quot;,256:&quot;DEPTH_BUFFER_BIT&quot;,512:&quot;NEVER&quot;,513:&quot;LESS&quot;,514:&quot;EQUAL&quot;,515:&quot;LEQUAL&quot;,516:&quot;GREATER&quot;,517:&quot;NOTEQUAL&quot;,518:&quot;GEQUAL&quot;,519:&quot;ALWAYS&quot;,768:&quot;SRC_COLOR&quot;,769:&quot;ONE_MINUS_SRC_COLOR&quot;,770:&quot;SRC_ALPHA&quot;,771:&quot;ONE_MINUS_SRC_ALPHA&quot;,772:&quot;DST_ALPHA&quot;,773:&quot;ONE_MINUS_DST_ALPHA&quot;,774:&quot;DST_COLOR&quot;,775:&quot;ONE_MINUS_DST_COLOR&quot;,776:&quot;SRC_ALPHA_SATURATE&quot;,1024:&quot;STENCIL_BUFFER_BIT&quot;,1028:&quot;FRONT&quot;,1029:&quot;BACK&quot;,1032:&quot;FRONT_AND_BACK&quot;,1280:&quot;INVALID_ENUM&quot;,1281:&quot;INVALID_VALUE&quot;,1282:&quot;INVALID_OPERATION&quot;,1285:&quot;OUT_OF_MEMORY&quot;,1286:&quot;INVALID_FRAMEBUFFER_OPERATION&quot;,2304:&quot;CW&quot;,2305:&quot;CCW&quot;,2849:&quot;LINE_WIDTH&quot;,2884:&quot;CULL_FACE&quot;,2885:&quot;CULL_FACE_MODE&quot;,2886:&quot;FRONT_FACE&quot;,2928:&quot;DEPTH_RANGE&quot;,2929:&quot;DEPTH_TEST&quot;,2930:&quot;DEPTH_WRITEMASK&quot;,2931:&quot;DEPTH_CLEAR_VALUE&quot;,2932:&quot;DEPTH_FUNC&quot;,2960:&quot;STENCIL_TEST&quot;,2961:&quot;STENCIL_CLEAR_VALUE&quot;,2962:&quot;STENCIL_FUNC&quot;,2963:&quot;STENCIL_VALUE_MASK&quot;,2964:&quot;STENCIL_FAIL&quot;,2965:&quot;STENCIL_PASS_DEPTH_FAIL&quot;,2966:&quot;STENCIL_PASS_DEPTH_PASS&quot;,2967:&quot;STENCIL_REF&quot;,2968:&quot;STENCIL_WRITEMASK&quot;,2978:&quot;VIEWPORT&quot;,3024:&quot;DITHER&quot;,3042:&quot;BLEND&quot;,3088:&quot;SCISSOR_BOX&quot;,3089:&quot;SCISSOR_TEST&quot;,3106:&quot;COLOR_CLEAR_VALUE&quot;,3107:&quot;COLOR_WRITEMASK&quot;,3317:&quot;UNPACK_ALIGNMENT&quot;,3333:&quot;PACK_ALIGNMENT&quot;,3379:&quot;MAX_TEXTURE_SIZE&quot;,3386:&quot;MAX_VIEWPORT_DIMS&quot;,3408:&quot;SUBPIXEL_BITS&quot;,3410:&quot;RED_BITS&quot;,3411:&quot;GREEN_BITS&quot;,3412:&quot;BLUE_BITS&quot;,3413:&quot;ALPHA_BITS&quot;,3414:&quot;DEPTH_BITS&quot;,3415:&quot;STENCIL_BITS&quot;,3553:&quot;TEXTURE_2D&quot;,4352:&quot;DONT_CARE&quot;,4353:&quot;FASTEST&quot;,4354:&quot;NICEST&quot;,5120:&quot;BYTE&quot;,5121:&quot;UNSIGNED_BYTE&quot;,5122:&quot;SHORT&quot;,5123:&quot;UNSIGNED_SHORT&quot;,5124:&quot;INT&quot;,5125:&quot;UNSIGNED_INT&quot;,5126:&quot;FLOAT&quot;,5386:&quot;INVERT&quot;,5890:&quot;TEXTURE&quot;,6401:&quot;STENCIL_INDEX&quot;,6402:&quot;DEPTH_COMPONENT&quot;,6406:&quot;ALPHA&quot;,6407:&quot;RGB&quot;,6408:&quot;RGBA&quot;,6409:&quot;LUMINANCE&quot;,6410:&quot;LUMINANCE_ALPHA&quot;,7680:&quot;KEEP&quot;,7681:&quot;REPLACE&quot;,7682:&quot;INCR&quot;,7683:&quot;DECR&quot;,7936:&quot;VENDOR&quot;,7937:&quot;RENDERER&quot;,7938:&quot;VERSION&quot;,9728:&quot;NEAREST&quot;,9729:&quot;LINEAR&quot;,9984:&quot;NEAREST_MIPMAP_NEAREST&quot;,9985:&quot;LINEAR_MIPMAP_NEAREST&quot;,9986:&quot;NEAREST_MIPMAP_LINEAR&quot;,9987:&quot;LINEAR_MIPMAP_LINEAR&quot;,10240:&quot;TEXTURE_MAG_FILTER&quot;,10241:&quot;TEXTURE_MIN_FILTER&quot;,10242:&quot;TEXTURE_WRAP_S&quot;,10243:&quot;TEXTURE_WRAP_T&quot;,10497:&quot;REPEAT&quot;,10752:&quot;POLYGON_OFFSET_UNITS&quot;,16384:&quot;COLOR_BUFFER_BIT&quot;,32769:&quot;CONSTANT_COLOR&quot;,32770:&quot;ONE_MINUS_CONSTANT_COLOR&quot;,32771:&quot;CONSTANT_ALPHA&quot;,32772:&quot;ONE_MINUS_CONSTANT_ALPHA&quot;,32773:&quot;BLEND_COLOR&quot;,32774:&quot;FUNC_ADD&quot;,32777:&quot;BLEND_EQUATION_RGB&quot;,32778:&quot;FUNC_SUBTRACT&quot;,32779:&quot;FUNC_REVERSE_SUBTRACT&quot;,32819:&quot;UNSIGNED_SHORT_4_4_4_4&quot;,32820:&quot;UNSIGNED_SHORT_5_5_5_1&quot;,32823:&quot;POLYGON_OFFSET_FILL&quot;,32824:&quot;POLYGON_OFFSET_FACTOR&quot;,32854:&quot;RGBA4&quot;,32855:&quot;RGB5_A1&quot;,32873:&quot;TEXTURE_BINDING_2D&quot;,32926:&quot;SAMPLE_ALPHA_TO_COVERAGE&quot;,32928:&quot;SAMPLE_COVERAGE&quot;,32936:&quot;SAMPLE_BUFFERS&quot;,32937:&quot;SAMPLES&quot;,32938:&quot;SAMPLE_COVERAGE_VALUE&quot;,32939:&quot;SAMPLE_COVERAGE_INVERT&quot;,32968:&quot;BLEND_DST_RGB&quot;,32969:&quot;BLEND_SRC_RGB&quot;,32970:&quot;BLEND_DST_ALPHA&quot;,32971:&quot;BLEND_SRC_ALPHA&quot;,33071:&quot;CLAMP_TO_EDGE&quot;,33170:&quot;GENERATE_MIPMAP_HINT&quot;,33189:&quot;DEPTH_COMPONENT16&quot;,33306:&quot;DEPTH_STENCIL_ATTACHMENT&quot;,33635:&quot;UNSIGNED_SHORT_5_6_5&quot;,33648:&quot;MIRRORED_REPEAT&quot;,33901:&quot;ALIASED_POINT_SIZE_RANGE&quot;,33902:&quot;ALIASED_LINE_WIDTH_RANGE&quot;,33984:&quot;TEXTURE0&quot;,33985:&quot;TEXTURE1&quot;,33986:&quot;TEXTURE2&quot;,33987:&quot;TEXTURE3&quot;,33988:&quot;TEXTURE4&quot;,33989:&quot;TEXTURE5&quot;,33990:&quot;TEXTURE6&quot;,33991:&quot;TEXTURE7&quot;,33992:&quot;TEXTURE8&quot;,33993:&quot;TEXTURE9&quot;,33994:&quot;TEXTURE10&quot;,33995:&quot;TEXTURE11&quot;,33996:&quot;TEXTURE12&quot;,33997:&quot;TEXTURE13&quot;,33998:&quot;TEXTURE14&quot;,33999:&quot;TEXTURE15&quot;,34000:&quot;TEXTURE16&quot;,34001:&quot;TEXTURE17&quot;,34002:&quot;TEXTURE18&quot;,34003:&quot;TEXTURE19&quot;,34004:&quot;TEXTURE20&quot;,34005:&quot;TEXTURE21&quot;,34006:&quot;TEXTURE22&quot;,34007:&quot;TEXTURE23&quot;,34008:&quot;TEXTURE24&quot;,34009:&quot;TEXTURE25&quot;,34010:&quot;TEXTURE26&quot;,34011:&quot;TEXTURE27&quot;,34012:&quot;TEXTURE28&quot;,34013:&quot;TEXTURE29&quot;,34014:&quot;TEXTURE30&quot;,34015:&quot;TEXTURE31&quot;,34016:&quot;ACTIVE_TEXTURE&quot;,34024:&quot;MAX_RENDERBUFFER_SIZE&quot;,34041:&quot;DEPTH_STENCIL&quot;,34055:&quot;INCR_WRAP&quot;,34056:&quot;DECR_WRAP&quot;,34067:&quot;TEXTURE_CUBE_MAP&quot;,34068:&quot;TEXTURE_BINDING_CUBE_MAP&quot;,34069:&quot;TEXTURE_CUBE_MAP_POSITIVE_X&quot;,34070:&quot;TEXTURE_CUBE_MAP_NEGATIVE_X&quot;,34071:&quot;TEXTURE_CUBE_MAP_POSITIVE_Y&quot;,34072:&quot;TEXTURE_CUBE_MAP_NEGATIVE_Y&quot;,34073:&quot;TEXTURE_CUBE_MAP_POSITIVE_Z&quot;,34074:&quot;TEXTURE_CUBE_MAP_NEGATIVE_Z&quot;,34076:&quot;MAX_CUBE_MAP_TEXTURE_SIZE&quot;,34338:&quot;VERTEX_ATTRIB_ARRAY_ENABLED&quot;,34339:&quot;VERTEX_ATTRIB_ARRAY_SIZE&quot;,34340:&quot;VERTEX_ATTRIB_ARRAY_STRIDE&quot;,34341:&quot;VERTEX_ATTRIB_ARRAY_TYPE&quot;,34342:&quot;CURRENT_VERTEX_ATTRIB&quot;,34373:&quot;VERTEX_ATTRIB_ARRAY_POINTER&quot;,34466:&quot;NUM_COMPRESSED_TEXTURE_FORMATS&quot;,34467:&quot;COMPRESSED_TEXTURE_FORMATS&quot;,34660:&quot;BUFFER_SIZE&quot;,34661:&quot;BUFFER_USAGE&quot;,34816:&quot;STENCIL_BACK_FUNC&quot;,34817:&quot;STENCIL_BACK_FAIL&quot;,34818:&quot;STENCIL_BACK_PASS_DEPTH_FAIL&quot;,34819:&quot;STENCIL_BACK_PASS_DEPTH_PASS&quot;,34877:&quot;BLEND_EQUATION_ALPHA&quot;,34921:&quot;MAX_VERTEX_ATTRIBS&quot;,34922:&quot;VERTEX_ATTRIB_ARRAY_NORMALIZED&quot;,34930:&quot;MAX_TEXTURE_IMAGE_UNITS&quot;,34962:&quot;ARRAY_BUFFER&quot;,34963:&quot;ELEMENT_ARRAY_BUFFER&quot;,34964:&quot;ARRAY_BUFFER_BINDING&quot;,34965:&quot;ELEMENT_ARRAY_BUFFER_BINDING&quot;,34975:&quot;VERTEX_ATTRIB_ARRAY_BUFFER_BINDING&quot;,35040:&quot;STREAM_DRAW&quot;,35044:&quot;STATIC_DRAW&quot;,35048:&quot;DYNAMIC_DRAW&quot;,35632:&quot;FRAGMENT_SHADER&quot;,35633:&quot;VERTEX_SHADER&quot;,35660:&quot;MAX_VERTEX_TEXTURE_IMAGE_UNITS&quot;,35661:&quot;MAX_COMBINED_TEXTURE_IMAGE_UNITS&quot;,35663:&quot;SHADER_TYPE&quot;,35664:&quot;FLOAT_VEC2&quot;,35665:&quot;FLOAT_VEC3&quot;,35666:&quot;FLOAT_VEC4&quot;,35667:&quot;INT_VEC2&quot;,35668:&quot;INT_VEC3&quot;,35669:&quot;INT_VEC4&quot;,35670:&quot;BOOL&quot;,35671:&quot;BOOL_VEC2&quot;,35672:&quot;BOOL_VEC3&quot;,35673:&quot;BOOL_VEC4&quot;,35674:&quot;FLOAT_MAT2&quot;,35675:&quot;FLOAT_MAT3&quot;,35676:&quot;FLOAT_MAT4&quot;,35678:&quot;SAMPLER_2D&quot;,35680:&quot;SAMPLER_CUBE&quot;,35712:&quot;DELETE_STATUS&quot;,35713:&quot;COMPILE_STATUS&quot;,35714:&quot;LINK_STATUS&quot;,35715:&quot;VALIDATE_STATUS&quot;,35716:&quot;INFO_LOG_LENGTH&quot;,35717:&quot;ATTACHED_SHADERS&quot;,35718:&quot;ACTIVE_UNIFORMS&quot;,35719:&quot;ACTIVE_UNIFORM_MAX_LENGTH&quot;,35720:&quot;SHADER_SOURCE_LENGTH&quot;,35721:&quot;ACTIVE_ATTRIBUTES&quot;,35722:&quot;ACTIVE_ATTRIBUTE_MAX_LENGTH&quot;,35724:&quot;SHADING_LANGUAGE_VERSION&quot;,35725:&quot;CURRENT_PROGRAM&quot;,36003:&quot;STENCIL_BACK_REF&quot;,36004:&quot;STENCIL_BACK_VALUE_MASK&quot;,36005:&quot;STENCIL_BACK_WRITEMASK&quot;,36006:&quot;FRAMEBUFFER_BINDING&quot;,36007:&quot;RENDERBUFFER_BINDING&quot;,36048:&quot;FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE&quot;,36049:&quot;FRAMEBUFFER_ATTACHMENT_OBJECT_NAME&quot;,36050:&quot;FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL&quot;,36051:&quot;FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE&quot;,36053:&quot;FRAMEBUFFER_COMPLETE&quot;,36054:&quot;FRAMEBUFFER_INCOMPLETE_ATTACHMENT&quot;,36055:&quot;FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT&quot;,36057:&quot;FRAMEBUFFER_INCOMPLETE_DIMENSIONS&quot;,36061:&quot;FRAMEBUFFER_UNSUPPORTED&quot;,36064:&quot;COLOR_ATTACHMENT0&quot;,36096:&quot;DEPTH_ATTACHMENT&quot;,36128:&quot;STENCIL_ATTACHMENT&quot;,36160:&quot;FRAMEBUFFER&quot;,36161:&quot;RENDERBUFFER&quot;,36162:&quot;RENDERBUFFER_WIDTH&quot;,36163:&quot;RENDERBUFFER_HEIGHT&quot;,36164:&quot;RENDERBUFFER_INTERNAL_FORMAT&quot;,36168:&quot;STENCIL_INDEX8&quot;,36176:&quot;RENDERBUFFER_RED_SIZE&quot;,36177:&quot;RENDERBUFFER_GREEN_SIZE&quot;,36178:&quot;RENDERBUFFER_BLUE_SIZE&quot;,36179:&quot;RENDERBUFFER_ALPHA_SIZE&quot;,36180:&quot;RENDERBUFFER_DEPTH_SIZE&quot;,36181:&quot;RENDERBUFFER_STENCIL_SIZE&quot;,36194:&quot;RGB565&quot;,36336:&quot;LOW_FLOAT&quot;,36337:&quot;MEDIUM_FLOAT&quot;,36338:&quot;HIGH_FLOAT&quot;,36339:&quot;LOW_INT&quot;,36340:&quot;MEDIUM_INT&quot;,36341:&quot;HIGH_INT&quot;,36346:&quot;SHADER_COMPILER&quot;,36347:&quot;MAX_VERTEX_UNIFORM_VECTORS&quot;,36348:&quot;MAX_VARYING_VECTORS&quot;,36349:&quot;MAX_FRAGMENT_UNIFORM_VECTORS&quot;,37440:&quot;UNPACK_FLIP_Y_WEBGL&quot;,37441:&quot;UNPACK_PREMULTIPLY_ALPHA_WEBGL&quot;,37442:&quot;CONTEXT_LOST_WEBGL&quot;,37443:&quot;UNPACK_COLORSPACE_CONVERSION_WEBGL&quot;,37444:&quot;BROWSER_DEFAULT_WEBGL&quot;}},{}],108:[function(t,e,r){var n=t(&quot;./1.0/numbers&quot;);e.exports=function(t){return n[t]}},{&quot;./1.0/numbers&quot;:107}],109:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var u=new s(e,r,o,l);return u.update(t),u};var n=t(&quot;gl-buffer&quot;),i=t(&quot;gl-vao&quot;),a=t(&quot;./shaders/index&quot;),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function u(t,e){for(var r=0;r&lt;3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],u=n[15],c=(t._ortho||!1?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*u)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f&lt;3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*c,this.lineCount[f]&amp;&amp;e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var c=function(){for(var t=new Array(3),e=0;e&lt;3;++e){for(var r=[],n=1;n&lt;=2;++n)for(var i=-1;i&lt;=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=c[n],a=0;a&lt;i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}l.update=function(t){&quot;lineWidth&quot;in(t=t||{})&amp;&amp;(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),&quot;capSize&quot;in t&amp;&amp;(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,&quot;opacity&quot;in t&amp;&amp;(this.opacity=+t.opacity,this.opacity&lt;1&amp;&amp;(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&amp;&amp;n){var i=[],a=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s&lt;3;++s){this.lineOffset[s]=o;t:for(var l=0;l&lt;a;++l){for(var c=r[l],h=0;h&lt;3;++h)if(isNaN(c[h])||!isFinite(c[h]))continue t;var d=n[l],p=e[s];if(Array.isArray(p[0])&amp;&amp;(p=e[l]),3===p.length?p=[p[0],p[1],p[2],1]:4===p.length&amp;&amp;(p=[p[0],p[1],p[2],p[3]],!this.hasAlpha&amp;&amp;p[3]&lt;1&amp;&amp;(this.hasAlpha=!0)),!isNaN(d[0][s])&amp;&amp;!isNaN(d[1][s])){var g;if(d[0][s]&lt;0)(g=c.slice())[s]+=d[0][s],i.push(c[0],c[1],c[2],p[0],p[1],p[2],p[3],0,0,0,g[0],g[1],g[2],p[0],p[1],p[2],p[3],0,0,0),u(this.bounds,g),o+=2+f(i,g,p,s);if(d[1][s]&gt;0)(g=c.slice())[s]+=d[1][s],i.push(c[0],c[1],c[2],p[0],p[1],p[2],p[3],0,0,0,g[0],g[1],g[2],p[0],p[1],p[2],p[3],0,0,0),u(this.bounds,g),o+=2+f(i,g,p,s)}}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{&quot;./shaders/index&quot;:110,&quot;gl-buffer&quot;:103,&quot;gl-vao&quot;:168}],110:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;glslify&quot;),i=t(&quot;gl-shader&quot;),a=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, offset;\\nattribute vec4 color;\\nuniform mat4 model, view, projection;\\nuniform float capSize;\\nvarying vec4 fragColor;\\nvarying vec3 fragPosition;\\n\\nvoid main() {\\n  vec4 worldPosition  = model * vec4(position, 1.0);\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n  gl_Position         = projection * view * worldPosition;\\n  fragColor           = color;\\n  fragPosition        = position;\\n}&quot;]),o=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}&quot;]);e.exports=function(t){return i(t,a,o,null,[{name:&quot;position&quot;,type:&quot;vec3&quot;},{name:&quot;color&quot;,type:&quot;vec4&quot;},{name:&quot;offset&quot;,type:&quot;vec3&quot;}])}},{&quot;gl-shader&quot;:149,glslify:250}],111:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;gl-texture2d&quot;);e.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension(&quot;WEBGL_draw_buffers&quot;);!l&amp;&amp;u&amp;&amp;function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n&lt;=r;++n){for(var i=new Array(r),a=0;a&lt;n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(var a=n;a&lt;r;++a)i[a]=t.NONE;l[n]=i}}(t,u);Array.isArray(e)&amp;&amp;(n=r,r=0|e[1],e=0|e[0]);if(&quot;number&quot;!=typeof e)throw new Error(&quot;gl-fbo: Missing shape parameter&quot;);var c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e&lt;0||e&gt;c||r&lt;0||r&gt;c)throw new Error(&quot;gl-fbo: Parameters are too large for FBO&quot;);var f=1;if(&quot;color&quot;in(n=n||{})){if((f=Math.max(0|n.color,0))&lt;0)throw new Error(&quot;gl-fbo: Must specify a nonnegative number of colors&quot;);if(f&gt;1){if(!u)throw new Error(&quot;gl-fbo: Multiple draw buffer extension not supported&quot;);if(f&gt;t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(&quot;gl-fbo: Context does not support &quot;+f+&quot; draw buffers&quot;)}}var h=t.UNSIGNED_BYTE,d=t.getExtension(&quot;OES_texture_float&quot;);if(n.float&amp;&amp;f&gt;0){if(!d)throw new Error(&quot;gl-fbo: Context does not support floating point textures&quot;);h=t.FLOAT}else n.preferFloat&amp;&amp;f&gt;0&amp;&amp;d&amp;&amp;(h=t.FLOAT);var g=!0;&quot;depth&quot;in n&amp;&amp;(g=!!n.depth);var v=!1;&quot;stencil&quot;in n&amp;&amp;(v=!!n.stencil);return new p(t,e,r,h,f,g,v,u)};var i,a,o,s,l=null;function u(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error(&quot;gl-fbo: Framebuffer unsupported&quot;);case a:throw new Error(&quot;gl-fbo: Framebuffer incomplete attachment&quot;);case o:throw new Error(&quot;gl-fbo: Framebuffer incomplete dimensions&quot;);case s:throw new Error(&quot;gl-fbo: Framebuffer incomplete missing attachment&quot;);default:throw new Error(&quot;gl-fbo: Framebuffer failed for unspecified reason&quot;)}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function d(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function p(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var p=0;p&lt;i;++p)this.color[p]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var g=this,v=[0|e,0|r];Object.defineProperties(v,{0:{get:function(){return g._shape[0]},set:function(t){return g.width=t}},1:{get:function(){return g._shape[1]},set:function(t){return g.height=t}}}),this._shapeVector=v,function(t){var e=u(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,p=t._useStencil,g=t._useDepth,v=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var m=0;m&lt;o;++m)t.color[m]=h(r,i,a,v,r.RGBA,r.COLOR_ATTACHMENT0+m);0===o?(t._color_rb=d(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&amp;&amp;s.drawBuffersWEBGL(l[0])):o&gt;1&amp;&amp;s.drawBuffersWEBGL(l[o]);var y=r.getExtension(&quot;WEBGL_depth_texture&quot;);y?p?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&amp;&amp;(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&amp;&amp;p?t._depth_rb=d(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=d(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):p&amp;&amp;(t._depth_rb=d(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var b=r.checkFramebufferStatus(r.FRAMEBUFFER);if(b!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&amp;&amp;(t.depth.dispose(),t.depth=null),t._depth_rb&amp;&amp;(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),m=0;m&lt;t.color.length;++m)t.color[m].dispose(),t.color[m]=null;t._color_rb&amp;&amp;(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),c(r,e),f(b)}c(r,e)}(this)}var g=p.prototype;function v(t,e,r){if(t._destroyed)throw new Error(&quot;gl-fbo: Can&#x27;t resize destroyed FBO&quot;);if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e&lt;0||e&gt;i||r&lt;0||r&gt;i)throw new Error(&quot;gl-fbo: Can&#x27;t resize FBO, invalid dimensions&quot;);t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o&lt;t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&amp;&amp;(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&amp;&amp;(t.depth.shape=t._shape),t._depth_rb&amp;&amp;(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&amp;&amp;t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&amp;&amp;n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&amp;&amp;(t.dispose(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(g,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(&quot;gl-fbo: Shape vector must be length 2&quot;);var e=0|t[0],r=0|t[1];return v(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return v(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,v(this,this._shape[0],t),t},enumerable:!1}}),g.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},g.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&amp;&amp;(this.depth.dispose(),this.depth=null),this._depth_rb&amp;&amp;(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e&lt;this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&amp;&amp;(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{&quot;gl-texture2d&quot;:164}],112:[function(t,e,r){var n=t(&quot;sprintf-js&quot;).sprintf,i=t(&quot;gl-constants/lookup&quot;),a=t(&quot;glsl-shader-name&quot;),o=t(&quot;add-line-numbers&quot;);e.exports=function(t,e,r){&quot;use strict&quot;;var s=a(e)||&quot;of unknown name (see npm glsl-shader-name)&quot;,l=&quot;unknown type&quot;;void 0!==r&amp;&amp;(l=r===i.FRAGMENT_SHADER?&quot;fragment&quot;:&quot;vertex&quot;);for(var u=n(&quot;Error compiling %s shader %s:\\n&quot;,l,s),c=n(&quot;%s%s&quot;,u,t),f=t.split(&quot;\\n&quot;),h={},d=0;d&lt;f.length;d++){var p=f[d];if(&quot;&quot;!==p&amp;&amp;&quot;\\0&quot;!==p){var g=parseInt(p.split(&quot;:&quot;)[2]);if(isNaN(g))throw new Error(n(&quot;Could not parse error: %s&quot;,p));h[g]=p}}for(var v=o(e).split(&quot;\\n&quot;),d=0;d&lt;v.length;d++)if(h[d+3]||h[d+2]||h[d+1]){var m=v[d];if(u+=m+&quot;\\n&quot;,h[d+1]){var y=h[d+1];y=y.substr(y.split(&quot;:&quot;,3).join(&quot;:&quot;).length+1).trim(),u+=n(&quot;^^^ %s\\n\\n&quot;,y)}}return{long:u.trim(),short:c.trim()}}},{&quot;add-line-numbers&quot;:12,&quot;gl-constants/lookup&quot;:108,&quot;glsl-shader-name&quot;:242,&quot;sprintf-js&quot;:340}],113:[function(t,e,r){var n=t(&quot;glslify&quot;),i=t(&quot;gl-shader&quot;),a=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n&quot;]),o=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight &lt; 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n&quot;]),s=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\nlowp vec4 encode_float_1604150559(highp float v) {\\n  highp float av = abs(v);\\n\\n  //Handle special cases\\n  if(av &lt; FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v &gt; FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v &lt; -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  highp vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  highp float e = floor(log2(av));\\n  highp float m = av * pow(2.0, -e) - 1.0;\\n  \\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n  \\n  //Unpack exponent\\n  highp float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0; \\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, encode_float_1604150559(pixelArcLength).xyz);\\n}&quot;]),l=[{name:&quot;position&quot;,type:&quot;vec3&quot;},{name:&quot;nextPosition&quot;,type:&quot;vec3&quot;},{name:&quot;arcLength&quot;,type:&quot;float&quot;},{name:&quot;lineWidth&quot;,type:&quot;float&quot;},{name:&quot;color&quot;,type:&quot;vec4&quot;}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{&quot;gl-shader&quot;:149,glslify:250}],114:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t){var e=t.gl||t.scene&amp;&amp;t.scene.gl,r=c(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=f(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),u=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),h=l(new Array(1024),[256,1,4]),d=0;d&lt;1024;++d)h.data[d]=255;var p=a(e,h);p.wrap=e.REPEAT;var g=new v(e,r,o,s,u,p);return g.update(t),g};var n=t(&quot;gl-buffer&quot;),i=t(&quot;gl-vao&quot;),a=t(&quot;gl-texture2d&quot;),o=t(&quot;glsl-read-float&quot;),s=t(&quot;binary-search-bounds&quot;),l=t(&quot;ndarray&quot;),u=t(&quot;./lib/shaders&quot;),c=u.createShader,f=u.createPickShader,h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n&lt;3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function p(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r&lt;3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=v.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||h,view:t.view||h,projection:t.projection||h,clipBounds:p(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||h,view:t.view||h,projection:t.projection||h,pickId:this.pickId,clipBounds:p(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;&quot;dashScale&quot;in t&amp;&amp;(this.dashScale=t.dashScale),this.hasAlpha=!1,&quot;opacity&quot;in t&amp;&amp;(this.opacity=+t.opacity,this.opacity&lt;1&amp;&amp;(this.hasAlpha=!0));var i=[],a=[],o=[],u=0,c=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],g=t.lineWidth||1,v=!1;t:for(e=1;e&lt;h.length;++e){var m,y,b,x=h[e-1],_=h[e];for(a.push(u),o.push(x.slice()),r=0;r&lt;3;++r){if(isNaN(x[r])||isNaN(_[r])||!isFinite(x[r])||!isFinite(_[r])){if(!n&amp;&amp;i.length&gt;0){for(var w=0;w&lt;24;++w)i.push(i[i.length-12]);c+=2,v=!0}continue t}f[0][r]=Math.min(f[0][r],x[r],_[r]),f[1][r]=Math.max(f[1][r],x[r],_[r])}Array.isArray(p[0])?(m=p.length&gt;e-1?p[e-1]:p.length&gt;0?p[p.length-1]:[0,0,0,1],y=p.length&gt;e?p[e]:p.length&gt;0?p[p.length-1]:[0,0,0,1]):m=y=p,3===m.length&amp;&amp;(m=[m[0],m[1],m[2],1]),3===y.length&amp;&amp;(y=[y[0],y[1],y[2],1]),!this.hasAlpha&amp;&amp;m[3]&lt;1&amp;&amp;(this.hasAlpha=!0),b=Array.isArray(g)?g.length&gt;e-1?g[e-1]:g.length&gt;0?g[g.length-1]:[0,0,0,1]:g;var A=u;if(u+=d(x,_),v){for(r=0;r&lt;2;++r)i.push(x[0],x[1],x[2],_[0],_[1],_[2],A,b,m[0],m[1],m[2],m[3]);c+=2,v=!1}i.push(x[0],x[1],x[2],_[0],_[1],_[2],A,b,m[0],m[1],m[2],m[3],x[0],x[1],x[2],_[0],_[1],_[2],A,-b,m[0],m[1],m[2],m[3],_[0],_[1],_[2],x[0],x[1],x[2],u,-b,y[0],y[1],y[2],y[3],_[0],_[1],_[2],x[0],x[1],x[2],u,b,y[0],y[1],y[2],y[3]),c+=4}}if(this.buffer.update(i),a.push(u),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=c,this.points=o,this.arcLength=a,&quot;dashes&quot;in t){var M=t.dashes.slice();for(M.unshift(0),e=1;e&lt;M.length;++e)M[e]=M[e-1]+M[e];var T=l(new Array(1024),[256,1,4]);for(e=0;e&lt;256;++e){for(r=0;r&lt;4;++r)T.set(e,0,r,0);1&amp;s.le(M,M[M.length-1]*e/255)?T.set(e,0,0,0):T.set(e,0,0,255)}this.texture.setPixels(T)}},m.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},m.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=o(t.value[0],t.value[1],t.value[2],0),r=s.le(this.arcLength,e);if(r&lt;0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),l=1-a,u=[0,0,0],c=0;c&lt;3;++c)u[c]=l*n[c]+a*i[c];var f=Math.min(a&lt;.5?r:r+1,this.points.length-1);return new g(e,u,f,this.points[f])}},{&quot;./lib/shaders&quot;:113,&quot;binary-search-bounds&quot;:115,&quot;gl-buffer&quot;:103,&quot;gl-texture2d&quot;:164,&quot;gl-vao&quot;:168,&quot;glsl-read-float&quot;:241,ndarray:286}],115:[function(t,e,r){arguments[4][54][0].apply(r,arguments)},{dup:54}],116:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r*a-i*n;return o?(o=1/o,t[0]=a*o,t[1]=-n*o,t[2]=-i*o,t[3]=r*o,t):null}},{}],117:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],f=c*o-s*u,h=-c*a+s*l,d=u*a-o*l,p=r*f+n*h+i*d;return p?(p=1/p,t[0]=f*p,t[1]=(-c*n+i*u)*p,t[2]=(s*n-i*o)*p,t[3]=h*p,t[4]=(c*r-i*l)*p,t[5]=(-s*r+i*a)*p,t[6]=d*p,t[7]=(-u*r+n*l)*p,t[8]=(o*r-n*a)*p,t):null}},{}],118:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);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}},{}],119:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],120:[function(t,e,r){e.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],u=t[8],c=t[9],f=t[10],h=t[11],d=t[12],p=t[13],g=t[14],v=t[15];return(e*o-r*a)*(f*v-h*g)-(e*s-n*a)*(c*v-h*p)+(e*l-i*a)*(c*g-f*p)+(r*s-n*o)*(u*v-h*d)-(r*l-i*o)*(u*g-f*d)+(n*l-i*s)*(u*p-c*d)}},{}],121:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,f=n*s,h=i*o,d=i*s,p=i*l,g=a*o,v=a*s,m=a*l;return t[0]=1-f-p,t[1]=c+m,t[2]=h-v,t[3]=0,t[4]=c-m,t[5]=1-u-p,t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-u-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],122:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,u=a+a,c=n*s,f=n*l,h=n*u,d=i*l,p=i*u,g=a*u,v=o*s,m=o*l,y=o*u;return t[0]=1-(d+g),t[1]=f+y,t[2]=h-m,t[3]=0,t[4]=f-y,t[5]=1-(c+g),t[6]=p+v,t[7]=0,t[8]=h+m,t[9]=p-v,t[10]=1-(c+d),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],123:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],124:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],f=e[9],h=e[10],d=e[11],p=e[12],g=e[13],v=e[14],m=e[15],y=r*s-n*o,b=r*l-i*o,x=r*u-a*o,_=n*l-i*s,w=n*u-a*s,A=i*u-a*l,M=c*g-f*p,T=c*v-h*p,k=c*m-d*p,E=f*v-h*g,L=f*m-d*g,S=h*m-d*v,C=y*S-b*L+x*E+_*k-w*T+A*M;if(!C)return null;return C=1/C,t[0]=(s*S-l*L+u*E)*C,t[1]=(i*L-n*S-a*E)*C,t[2]=(g*A-v*w+m*_)*C,t[3]=(h*w-f*A-d*_)*C,t[4]=(l*k-o*S-u*T)*C,t[5]=(r*S-i*k+a*T)*C,t[6]=(v*x-p*A-m*b)*C,t[7]=(c*A-h*x+d*b)*C,t[8]=(o*L-s*k+u*M)*C,t[9]=(n*k-r*L-a*M)*C,t[10]=(p*w-g*x+m*y)*C,t[11]=(f*x-c*w-d*y)*C,t[12]=(s*T-o*E-l*M)*C,t[13]=(r*E-n*T+i*M)*C,t[14]=(g*b-p*_-v*y)*C,t[15]=(c*_-f*b+h*y)*C,t}},{}],125:[function(t,e,r){var n=t(&quot;./identity&quot;);e.exports=function(t,e,r,i){var a,o,s,l,u,c,f,h,d,p,g=e[0],v=e[1],m=e[2],y=i[0],b=i[1],x=i[2],_=r[0],w=r[1],A=r[2];if(Math.abs(g-_)&lt;1e-6&amp;&amp;Math.abs(v-w)&lt;1e-6&amp;&amp;Math.abs(m-A)&lt;1e-6)return n(t);f=g-_,h=v-w,d=m-A,p=1/Math.sqrt(f*f+h*h+d*d),a=b*(d*=p)-x*(h*=p),o=x*(f*=p)-y*d,s=y*h-b*f,(p=Math.sqrt(a*a+o*o+s*s))?(a*=p=1/p,o*=p,s*=p):(a=0,o=0,s=0);l=h*s-d*o,u=d*a-f*s,c=f*o-h*a,(p=Math.sqrt(l*l+u*u+c*c))?(l*=p=1/p,u*=p,c*=p):(l=0,u=0,c=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=u,t[6]=h,t[7]=0,t[8]=s,t[9]=c,t[10]=d,t[11]=0,t[12]=-(a*g+o*v+s*m),t[13]=-(l*g+u*v+c*m),t[14]=-(f*g+h*v+d*m),t[15]=1,t}},{&quot;./identity&quot;:123}],126:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],d=e[10],p=e[11],g=e[12],v=e[13],m=e[14],y=e[15],b=r[0],x=r[1],_=r[2],w=r[3];return t[0]=b*n+x*s+_*f+w*g,t[1]=b*i+x*l+_*h+w*v,t[2]=b*a+x*u+_*d+w*m,t[3]=b*o+x*c+_*p+w*y,b=r[4],x=r[5],_=r[6],w=r[7],t[4]=b*n+x*s+_*f+w*g,t[5]=b*i+x*l+_*h+w*v,t[6]=b*a+x*u+_*d+w*m,t[7]=b*o+x*c+_*p+w*y,b=r[8],x=r[9],_=r[10],w=r[11],t[8]=b*n+x*s+_*f+w*g,t[9]=b*i+x*l+_*h+w*v,t[10]=b*a+x*u+_*d+w*m,t[11]=b*o+x*c+_*p+w*y,b=r[12],x=r[13],_=r[14],w=r[15],t[12]=b*n+x*s+_*f+w*g,t[13]=b*i+x*l+_*h+w*v,t[14]=b*a+x*u+_*d+w*m,t[15]=b*o+x*c+_*p+w*y,t}},{}],127:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t}},{}],128:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],129:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,u,c,f,h,d,p,g,v,m,y,b,x,_,w,A,M,T,k,E,L=n[0],S=n[1],C=n[2],O=Math.sqrt(L*L+S*S+C*C);if(Math.abs(O)&lt;1e-6)return null;L*=O=1/O,S*=O,C*=O,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],u=e[2],c=e[3],f=e[4],h=e[5],d=e[6],p=e[7],g=e[8],v=e[9],m=e[10],y=e[11],b=L*L*o+a,x=S*L*o+C*i,_=C*L*o-S*i,w=L*S*o-C*i,A=S*S*o+a,M=C*S*o+L*i,T=L*C*o+S*i,k=S*C*o-L*i,E=C*C*o+a,t[0]=s*b+f*x+g*_,t[1]=l*b+h*x+v*_,t[2]=u*b+d*x+m*_,t[3]=c*b+p*x+y*_,t[4]=s*w+f*A+g*M,t[5]=l*w+h*A+v*M,t[6]=u*w+d*A+m*M,t[7]=c*w+p*A+y*M,t[8]=s*T+f*k+g*E,t[9]=l*T+h*k+v*E,t[10]=u*T+d*k+m*E,t[11]=c*T+p*k+y*E,e!==t&amp;&amp;(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],130:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],u=e[8],c=e[9],f=e[10],h=e[11];e!==t&amp;&amp;(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+u*n,t[5]=o*i+c*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=u*i-a*n,t[9]=c*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],131:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],f=e[10],h=e[11];e!==t&amp;&amp;(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],132:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],f=e[6],h=e[7];e!==t&amp;&amp;(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]);return t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],133:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],134:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,u,c,f,h,d,p,g=r[0],v=r[1],m=r[2];e===t?(t[12]=e[0]*g+e[4]*v+e[8]*m+e[12],t[13]=e[1]*g+e[5]*v+e[9]*m+e[13],t[14]=e[2]*g+e[6]*v+e[10]*m+e[14],t[15]=e[3]*g+e[7]*v+e[11]*m+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],d=e[10],p=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=f,t[9]=h,t[10]=d,t[11]=p,t[12]=n*g+s*v+f*m+e[12],t[13]=i*g+l*v+h*m+e[13],t[14]=a*g+u*v+d*m+e[14],t[15]=o*g+c*v+p*m+e[15]);return t}},{}],135:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],136:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e){switch(e.length){case 0:break;case 1:t[0]=1/e[0];break;case 4:n(t,e);break;case 9:i(t,e);break;case 16:a(t,e);break;default:throw new Error(&quot;currently supports matrices up to 4x4&quot;)}return t};var n=t(&quot;gl-mat2/invert&quot;),i=t(&quot;gl-mat3/invert&quot;),a=t(&quot;gl-mat4/invert&quot;)},{&quot;gl-mat2/invert&quot;:116,&quot;gl-mat3/invert&quot;:117,&quot;gl-mat4/invert&quot;:124}],137:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;barycentric&quot;),i=t(&quot;polytope-closest-point/lib/closest_point_2d.js&quot;);function a(t,e){for(var r=[0,0,0,0],n=0;n&lt;4;++n)for(var i=0;i&lt;4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s&lt;3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}e.exports=function(t,e,r,a,s,l){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),c=0;c&lt;t.length;++c)u[c]=o(t[c],r,a,s,l);for(var f=0,h=1/0,c=0;c&lt;u.length;++c){for(var d=0,p=0;p&lt;2;++p)d+=Math.pow(u[c][p]-e[p],2);d&lt;h&amp;&amp;(h=d,f=c)}for(var g=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o&lt;2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),a=Math.sqrt(a),r+a&lt;1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0,c=0;c&lt;3;++c){if(g[c]&lt;-.001||g[c]&gt;1.0001)return null;v+=g[c]}if(Math.abs(v-1)&gt;.001)return null;return[f,function(t,e){for(var r=[0,0,0],n=0;n&lt;t.length;++n)for(var i=t[n],a=e[n],o=0;o&lt;3;++o)r[o]+=a*i[o];return r}(t,g),g]}},{barycentric:17,&quot;polytope-closest-point/lib/closest_point_2d.js&quot;:307}],138:[function(t,e,r){var n=t(&quot;glslify&quot;),i=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n&quot;]),a=n([&quot;#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular\\n            , opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n&quot;]),o=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}&quot;]),s=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}&quot;]),l=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}&quot;]),u=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5,0.5);\\n  if(dot(pointR, pointR) &gt; 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}&quot;]),c=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}&quot;]),f=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}&quot;]),h=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}&quot;]),d=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}&quot;]),p=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor,1);\\n}\\n&quot;]);r.meshShader={vertex:i,fragment:a,attributes:[{name:&quot;position&quot;,type:&quot;vec3&quot;},{name:&quot;normal&quot;,type:&quot;vec3&quot;},{name:&quot;color&quot;,type:&quot;vec4&quot;},{name:&quot;uv&quot;,type:&quot;vec2&quot;}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:&quot;position&quot;,type:&quot;vec3&quot;},{name:&quot;color&quot;,type:&quot;vec4&quot;},{name:&quot;uv&quot;,type:&quot;vec2&quot;}]},r.pointShader={vertex:l,fragment:u,attributes:[{name:&quot;position&quot;,type:&quot;vec3&quot;},{name:&quot;color&quot;,type:&quot;vec4&quot;},{name:&quot;uv&quot;,type:&quot;vec2&quot;},{name:&quot;pointSize&quot;,type:&quot;float&quot;}]},r.pickShader={vertex:c,fragment:f,attributes:[{name:&quot;position&quot;,type:&quot;vec3&quot;},{name:&quot;id&quot;,type:&quot;vec4&quot;}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:&quot;position&quot;,type:&quot;vec3&quot;},{name:&quot;pointSize&quot;,type:&quot;float&quot;},{name:&quot;id&quot;,type:&quot;vec4&quot;}]},r.contourShader={vertex:d,fragment:p,attributes:[{name:&quot;position&quot;,type:&quot;vec3&quot;}]}},{glslify:250}],139:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;gl-shader&quot;),i=t(&quot;gl-buffer&quot;),a=t(&quot;gl-vao&quot;),o=t(&quot;gl-texture2d&quot;),s=t(&quot;normals&quot;),l=t(&quot;gl-mat4/multiply&quot;),u=t(&quot;gl-mat4/invert&quot;),c=t(&quot;ndarray&quot;),f=t(&quot;colormap&quot;),h=t(&quot;simplicial-complex-contour&quot;),d=t(&quot;typedarray-pool&quot;),p=t(&quot;./lib/shaders&quot;),g=t(&quot;./lib/closest-point&quot;),v=p.meshShader,m=p.wireShader,y=p.pointShader,b=p.pickShader,x=p.pointPickShader,_=p.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function A(t,e,r,n,i,a,o,s,l,u,c,f,h,d,p,g,v,m,y,b,x,_,A,M,T,k,E){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=d,this.triangleCount=0,this.lineWidth=1,this.edgePositions=p,this.edgeColors=v,this.edgeUVs=m,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=b,this.pointColors=_,this.pointUVs=A,this.pointSizes=M,this.pointIds=x,this.pointVAO=T,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=k,this.contourVAO=E,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var M=A.prototype;function T(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function k(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}M.isOpaque=function(){return this.opacity&gt;=1},M.isTransparent=function(){return this.opacity&lt;1},M.pickSlots=1,M.setPickBase=function(t){this.pickId=t},M.highlight=function(t){if(t&amp;&amp;this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=d.mallocFloat32(6*a),s=0,l=0;l&lt;a;++l)for(var u=r[l],c=0;c&lt;2;++c){var f=u[0];2===u.length&amp;&amp;(f=u[c]);for(var p=n[f][0],g=n[f][1],v=i[f],m=1-v,y=this.positions[p],b=this.positions[g],x=0;x&lt;3;++x)o[s++]=v*y[x]+m*b[x]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),d.free(o)}else this.contourCount=0},M.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,&quot;contourEnable&quot;in t&amp;&amp;(this.contourEnable=t.contourEnable),&quot;contourColor&quot;in t&amp;&amp;(this.contourColor=t.contourColor),&quot;lineWidth&quot;in t&amp;&amp;(this.lineWidth=t.lineWidth),&quot;lightPosition&quot;in t&amp;&amp;(this.lightPosition=t.lightPosition),&quot;opacity&quot;in t&amp;&amp;(this.opacity=t.opacity),&quot;ambient&quot;in t&amp;&amp;(this.ambientLight=t.ambient),&quot;diffuse&quot;in t&amp;&amp;(this.diffuseLight=t.diffuse),&quot;specular&quot;in t&amp;&amp;(this.specularLight=t.specular),&quot;roughness&quot;in t&amp;&amp;(this.roughness=t.roughness),&quot;fresnel&quot;in t&amp;&amp;(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&amp;&amp;(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=f({colormap:t,nshades:256,format:&quot;rgba&quot;}),r=new Uint8Array(1024),n=0;n&lt;256;++n){for(var i=e[n],a=0;a&lt;3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&amp;&amp;r){var i=[],a=[],l=[],u=[],h=[],d=[],p=[],g=[],v=[],m=[],y=[],b=[],x=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,A=t.cellNormals,M=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,T=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&amp;&amp;!A&amp;&amp;(A=s.faceNormals(r,n,T)),A||w||(w=s.vertexNormals(r,n,M));var k=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],S=t.vertexUVs,C=t.vertexIntensity,O=t.cellUVs,R=t.cellIntensity,P=1/0,z=-1/0;if(!S&amp;&amp;!O)if(C)if(t.vertexIntensityBounds)P=+t.vertexIntensityBounds[0],z=+t.vertexIntensityBounds[1];else for(var I=0;I&lt;C.length;++I){var N=C[I];P=Math.min(P,N),z=Math.max(z,N)}else if(R)for(I=0;I&lt;R.length;++I){N=R[I];P=Math.min(P,N),z=Math.max(z,N)}else for(I=0;I&lt;n.length;++I){N=n[I][2];P=Math.min(P,N),z=Math.max(z,N)}this.intensity=C||(R?function(t,e,r){for(var n=new Array(e),i=0;i&lt;e;++i)n[i]=0;var a=t.length;for(i=0;i&lt;a;++i)for(var o=t[i],s=0;s&lt;o.length;++s)n[o[s]]=r[i];return n}(r,n.length,R):function(t){for(var e=t.length,r=new Array(e),n=0;n&lt;e;++n)r[n]=t[n][2];return r}(n));var D=t.pointSizes,F=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(I=0;I&lt;n.length;++I)for(var j=n[I],B=0;B&lt;3;++B)!isNaN(j[B])&amp;&amp;isFinite(j[B])&amp;&amp;(this.bounds[0][B]=Math.min(this.bounds[0][B],j[B]),this.bounds[1][B]=Math.max(this.bounds[1][B],j[B]));var U=0,V=0,H=0;t:for(I=0;I&lt;r.length;++I){var q=r[I];switch(q.length){case 1:for(j=n[X=q[0]],B=0;B&lt;3;++B)if(isNaN(j[B])||!isFinite(j[B]))continue t;m.push(j[0],j[1],j[2]),3===(W=k?k[X]:E?E[I]:L).length?y.push(W[0],W[1],W[2],1):y.push(W[0],W[1],W[2],W[3]),Y=S?S[X]:C?[(C[X]-P)/(z-P),0]:O?O[I]:R?[(R[I]-P)/(z-P),0]:[(j[2]-P)/(z-P),0],b.push(Y[0],Y[1]),D?x.push(D[X]):x.push(F),_.push(I),H+=1;break;case 2:for(B=0;B&lt;2;++B){j=n[X=q[B]];for(var G=0;G&lt;3;++G)if(isNaN(j[G])||!isFinite(j[G]))continue t}for(B=0;B&lt;2;++B){j=n[X=q[B]];d.push(j[0],j[1],j[2]),3===(W=k?k[X]:E?E[I]:L).length?p.push(W[0],W[1],W[2],1):p.push(W[0],W[1],W[2],W[3]),Y=S?S[X]:C?[(C[X]-P)/(z-P),0]:O?O[I]:R?[(R[I]-P)/(z-P),0]:[(j[2]-P)/(z-P),0],g.push(Y[0],Y[1]),v.push(I)}V+=1;break;case 3:for(B=0;B&lt;3;++B)for(j=n[X=q[B]],G=0;G&lt;3;++G)if(isNaN(j[G])||!isFinite(j[G]))continue t;for(B=0;B&lt;3;++B){var X,W,Y,Z;j=n[X=q[2-B]];i.push(j[0],j[1],j[2]),3===(W=k?k[X]:E?E[I]:L).length?a.push(W[0],W[1],W[2],1):a.push(W[0],W[1],W[2],W[3]),Y=S?S[X]:C?[(C[X]-P)/(z-P),0]:O?O[I]:R?[(R[I]-P)/(z-P),0]:[(j[2]-P)/(z-P),0],u.push(Y[0],Y[1]),Z=w?w[X]:A[I],l.push(Z[0],Z[1],Z[2]),h.push(I)}U+=1}}this.pointCount=H,this.edgeCount=V,this.triangleCount=U,this.pointPositions.update(m),this.pointColors.update(y),this.pointUVs.update(b),this.pointSizes.update(x),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(d),this.edgeColors.update(p),this.edgeUVs.update(g),this.edgeIds.update(new Uint32Array(v)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},M.drawTransparent=M.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o&lt;3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);l(c,s.view,s.model),l(c,s.projection,c),u(c,c);for(o=0;o&lt;3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o&lt;3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o&lt;3;++o){for(var d=c[12+o],p=0;p&lt;3;++p)d+=c[4*p+o]*this.lightPosition[p];s.lightPosition[o]=d/h}this.triangleCount&gt;0&amp;&amp;((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount&gt;0&amp;&amp;this.lineWidth&gt;0&amp;&amp;((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount&gt;0&amp;&amp;((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&amp;&amp;this.contourCount&gt;0&amp;&amp;this.contourLineWidth&gt;0&amp;&amp;((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},M.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o&lt;3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount&gt;0&amp;&amp;(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount&gt;0&amp;&amp;(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount&gt;0)&amp;&amp;((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},M.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a&lt;r.length;++a)i[a]=n[r[a]];var o=g(i,[t.coord[0],this._resolution[1]-t.coord[1]],this._model,this._view,this._projection,this._resolution);if(!o)return null;var s=o[2],l=0;for(a=0;a&lt;r.length;++a)l+=s[a]*this.intensity[r[a]];return{position:o[1],index:r[o[0]],cell:r,cellId:e,intensity:l,dataCoordinate:this.positions[r[o[0]]]}},M.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){if(1===arguments.length&amp;&amp;(t=(e=t).gl),!(t.getExtension(&quot;OES_standard_derivatives&quot;)||t.getExtension(&quot;MOZ_OES_standard_derivatives&quot;)||t.getExtension(&quot;WEBKIT_OES_standard_derivatives&quot;)))throw new Error(&quot;derivatives not supported&quot;);var r=function(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=T(t),u=k(t),f=E(t),h=L(t),d=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));d.generateMipmap(),d.minFilter=t.LINEAR_MIPMAP_LINEAR,d.magFilter=t.LINEAR;var p=i(t),g=i(t),y=i(t),b=i(t),x=i(t),_=a(t,[{buffer:p,type:t.FLOAT,size:3},{buffer:x,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:y,type:t.FLOAT,size:2},{buffer:b,type:t.FLOAT,size:3}]),w=i(t),M=i(t),S=i(t),C=i(t),O=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:M,type:t.FLOAT,size:4},{buffer:S,type:t.FLOAT,size:2}]),R=i(t),P=i(t),z=i(t),I=i(t),N=i(t),D=a(t,[{buffer:R,type:t.FLOAT,size:3},{buffer:N,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:P,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:I,type:t.FLOAT,size:1}]),F=i(t),j=new A(t,d,r,s,l,u,f,h,p,x,g,y,b,_,w,C,M,S,O,R,N,P,z,I,D,F,a(t,[{buffer:F,type:t.FLOAT,size:3}]));return j.update(e),j}},{&quot;./lib/closest-point&quot;:137,&quot;./lib/shaders&quot;:138,colormap:68,&quot;gl-buffer&quot;:103,&quot;gl-mat4/invert&quot;:124,&quot;gl-mat4/multiply&quot;:126,&quot;gl-shader&quot;:149,&quot;gl-texture2d&quot;:164,&quot;gl-vao&quot;:168,ndarray:286,normals:288,&quot;simplicial-complex-contour&quot;:330,&quot;typedarray-pool&quot;:348}],140:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];&quot;distanceLimits&quot;in e&amp;&amp;(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);&quot;zoomMin&quot;in e&amp;&amp;(r[0]=e.zoomMin);&quot;zoomMax&quot;in e&amp;&amp;(r[1]=e.zoomMax);var u=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||&quot;orbit&quot;,distanceLimits:r}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,d=t.clientHeight,p={keyBindingMode:&quot;rotate&quot;,enableWheel:!0,view:u,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:u.modes,_ortho:e._ortho||e.projection&amp;&amp;&quot;orthographic&quot;===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s&lt;16;++s)a=a&amp;&amp;c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&amp;&amp;t.clientHeight===d;return h=t.clientWidth,d=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(p,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),&quot;turntable&quot;===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(&quot;contextmenu&quot;,function(t){return t.preventDefault(),!1}),p._lastX=-1,p._lastY=-1,p._lastMods={shift:!1,control:!1,alt:!1,meta:!1},p.enableMouseListeners=function(){function e(e,r,i,a){var o=p.keyBindingMode;if(!1!==o){var s=&quot;rotate&quot;===o,l=&quot;pan&quot;===o,c=&quot;zoom&quot;===o,h=!!a.control,d=!!a.alt,g=!!a.shift,v=!!(1&amp;e),m=!!(2&amp;e),y=!!(4&amp;e),b=1/t.clientHeight,x=b*(r-p._lastX),_=b*(i-p._lastY),w=p.flipX?1:-1,A=p.flipY?1:-1,M=Math.PI*p.rotateSpeed,T=n();if(-1!==p._lastX&amp;&amp;-1!==p._lastY&amp;&amp;((s&amp;&amp;v&amp;&amp;!h&amp;&amp;!d&amp;&amp;!g||v&amp;&amp;!h&amp;&amp;!d&amp;&amp;g)&amp;&amp;u.rotate(T,w*M*x,-A*M*_,0),(l&amp;&amp;v&amp;&amp;!h&amp;&amp;!d&amp;&amp;!g||m||v&amp;&amp;h&amp;&amp;!d&amp;&amp;!g)&amp;&amp;u.pan(T,-p.translateSpeed*x*f,p.translateSpeed*_*f,0),c&amp;&amp;v&amp;&amp;!h&amp;&amp;!d&amp;&amp;!g||y||v&amp;&amp;!h&amp;&amp;d&amp;&amp;!g)){var k=-p.zoomSpeed*_/window.innerHeight*(T-u.lastT())*100;u.pan(T,0,0,f*(Math.exp(k)-1))}return p._lastX=r,p._lastY=i,p._lastMods=a,!0}}p.mouseListener=a(t,e),t.addEventListener(&quot;touchstart&quot;,function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],p._lastMods),e(1,n[0],n[1],p._lastMods),r.preventDefault()},!!l&amp;&amp;{passive:!1}),t.addEventListener(&quot;touchmove&quot;,function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],p._lastMods),r.preventDefault()},!!l&amp;&amp;{passive:!1}),t.addEventListener(&quot;touchend&quot;,function(t){e(0,p._lastX,p._lastY,p._lastMods),t.preventDefault()},!!l&amp;&amp;{passive:!1}),p.wheelListener=o(t,function(t,e){if(!1!==p.keyBindingMode&amp;&amp;p.enableWheel){var r=p.flipX?1:-1,i=p.flipY?1:-1,a=n();if(Math.abs(t)&gt;Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*p.rotateSpeed/window.innerWidth);else if(!p._ortho){var o=-p.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}},!0)},p.enableMouseListeners(),p};var n=t(&quot;right-now&quot;),i=t(&quot;3d-view&quot;),a=t(&quot;mouse-change&quot;),o=t(&quot;mouse-wheel&quot;),s=t(&quot;mouse-event-offset&quot;),l=t(&quot;has-passive-events&quot;)},{&quot;3d-view&quot;:10,&quot;has-passive-events&quot;:252,&quot;mouse-change&quot;:271,&quot;mouse-event-offset&quot;:272,&quot;mouse-wheel&quot;:274,&quot;right-now&quot;:316}],141:[function(t,e,r){var n=t(&quot;glslify&quot;),i=t(&quot;gl-shader&quot;),a=n([&quot;precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}&quot;]),o=n([&quot;precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}&quot;]);e.exports=function(t){return i(t,a,o,null,[{name:&quot;position&quot;,type:&quot;vec2&quot;}])}},{&quot;gl-shader&quot;:149,glslify:250}],142:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./camera.js&quot;),i=t(&quot;gl-axes3d&quot;),a=t(&quot;gl-axes3d/properties&quot;),o=t(&quot;gl-spikes3d&quot;),s=t(&quot;gl-select-static&quot;),l=t(&quot;gl-fbo&quot;),u=t(&quot;a-big-triangle&quot;),c=t(&quot;mouse-change&quot;),f=t(&quot;mouse-wheel&quot;),h=t(&quot;gl-mat4/perspective&quot;),d=t(&quot;gl-mat4/ortho&quot;),p=t(&quot;./lib/shader&quot;),g=t(&quot;is-mobile&quot;)({tablet:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function m(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e&lt;0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e&gt;0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function y(t){return&quot;boolean&quot;!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e)if(e=document.createElement(&quot;canvas&quot;),t.container){var r=t.container;r.appendChild(e)}else document.body.appendChild(e);var b=t.gl;b||(b=function(t,e){var r=null;try{(r=t.getContext(&quot;webgl&quot;,e))||(r=t.getContext(&quot;experimental-webgl&quot;,e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:g}));if(!b)throw new Error(&quot;webgl not supported&quot;);var x=t.bounds||[[-10,-10,-10],[10,10,10]],_=new v,w=l(b,[b.drawingBufferWidth,b.drawingBufferHeight],{preferFloat:!g}),A=p(b),M=t.cameraObject&amp;&amp;!0===t.cameraObject._ortho||t.camera.projection&amp;&amp;&quot;orthographic&quot;===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||&quot;turntable&quot;,_ortho:M},k=t.axes||{},E=i(b,k);E.enable=!k.disable;var L=t.spikes||{},S=o(b,L),C=[],O=[],R=[],P=[],z=!0,I=!0,N=new Array(16),D=new Array(16),F={view:null,projection:N,model:D,_ortho:!1},I=!0,j=[b.drawingBufferWidth,b.drawingBufferHeight],B=t.cameraObject||n(e,T),U={gl:b,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:_,camera:B,axes:E,axesPixels:null,spikes:S,bounds:x,objects:C,shape:j,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:F,oncontextloss:null,mouseListener:null,_stopped:!1},V=[b.drawingBufferWidth/U.pixelRatio|0,b.drawingBufferHeight/U.pixelRatio|0];function H(){if(!U._stopped&amp;&amp;U.autoResize){var t=e.parentNode,r=1,n=1;t&amp;&amp;t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*U.pixelRatio),a=0|Math.ceil(n*U.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||&quot;absolute&quot;,o.left=&quot;0px&quot;,o.top=&quot;0px&quot;,o.width=r+&quot;px&quot;,o.height=n+&quot;px&quot;,z=!0}}}U.autoResize&amp;&amp;H();function q(){for(var t=C.length,e=P.length,r=0;r&lt;e;++r)R[r]=0;t:for(var r=0;r&lt;t;++r){var n=C[r],i=n.pickSlots;if(i){for(var a=0;a&lt;e;++a)if(R[a]+i&lt;255){O[r]=a,n.setPickBase(R[a]+1),R[a]+=i;continue t}var o=s(b,j);O[r]=e,P.push(o),R.push(i),n.setPickBase(1),e+=1}else O[r]=-1}for(;e&gt;0&amp;&amp;0===R[e-1];)R.pop(),P.pop().dispose()}function G(){if(U.contextLost)return!0;b.isContextLost()&amp;&amp;(U.contextLost=!0,U.mouseListener.enabled=!1,U.selection.object=null,U.oncontextloss&amp;&amp;U.oncontextloss())}window.addEventListener(&quot;resize&quot;,H),U.update=function(t){U._stopped||(t=t||{},z=!0,I=!0)},U.add=function(t){U._stopped||(t.axes=E,C.push(t),O.push(-1),z=!0,I=!0,q())},U.remove=function(t){if(!U._stopped){var e=C.indexOf(t);e&lt;0||(C.splice(e,1),O.pop(),z=!0,I=!0,q())}},U.dispose=function(){if(!U._stopped&amp;&amp;(U._stopped=!0,window.removeEventListener(&quot;resize&quot;,H),e.removeEventListener(&quot;webglcontextlost&quot;,G),U.mouseListener.enabled=!1,!U.contextLost)){E.dispose(),S.dispose();for(var t=0;t&lt;C.length;++t)C[t].dispose();w.dispose();for(var t=0;t&lt;P.length;++t)P[t].dispose();A.dispose(),b=null,E=null,S=null,C=[]}},U.wheelListener=f(e,function(t,e){if(!1!==B.keyBindingMode&amp;&amp;B.enableWheel&amp;&amp;B._ortho){var r=t&gt;e?1.1:1/1.1;U.aspect[0]*=r,U.aspect[1]*=r,U.aspect[2]*=r,U.redraw()}},!0),U._mouseRotating=!1,U._prevButtons=0,U.enableMouseListeners=function(){U.mouseListener=c(e,function(t,e,r){if(!U._stopped){var n=P.length,i=C.length,a=_.object;_.distance=1/0,_.mouse[0]=e,_.mouse[1]=r,_.object=null,_.screen=null,_.dataCoordinate=_.dataPosition=null;var o=!1;if(t&amp;&amp;U._prevButtons)U._mouseRotating=!0;else{U._mouseRotating&amp;&amp;(I=!0),U._mouseRotating=!1;for(var s=0;s&lt;n;++s){var l=P[s].query(e,V[1]-r-1,U.pickRadius);if(l){if(l.distance&gt;_.distance)continue;for(var u=0;u&lt;i;++u){var c=C[u];if(O[u]===s){var f=c.pick(l);f&amp;&amp;(_.buttons=t,_.screen=l.coord,_.distance=l.distance,_.object=c,_.index=f.distance,_.dataPosition=f.position,_.dataCoordinate=f.dataCoordinate,_.data=f,o=!0)}}}}}a&amp;&amp;a!==_.object&amp;&amp;(a.highlight&amp;&amp;a.highlight(null),z=!0),_.object&amp;&amp;(_.object.highlight&amp;&amp;_.object.highlight(_.data),z=!0),(o=o||_.object!==a)&amp;&amp;U.onselect&amp;&amp;U.onselect(_),1&amp;t&amp;&amp;!(1&amp;U._prevButtons)&amp;&amp;U.onclick&amp;&amp;U.onclick(_),U._prevButtons=t}})},e.addEventListener(&quot;webglcontextlost&quot;,G);var X=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],W=[X[0].slice(),X[1].slice()];function Y(){if(!G()){H();var t=U.camera.tick();F.view=U.camera.matrix,z=z||t,I=I||t,E.pixelRatio=U.pixelRatio,S.pixelRatio=U.pixelRatio;var e=C.length,r=X[0],n=X[1];r[0]=r[1]=r[2]=1/0,n[0]=n[1]=n[2]=-1/0;for(var i=0;i&lt;e;++i){var o=C[i];o.pixelRatio=U.pixelRatio,o.axes=U.axes,z=z||!!o.dirty,I=I||!!o.dirty;var s=o.bounds;if(s)for(var l=s[0],c=s[1],f=0;f&lt;3;++f)r[f]=Math.min(r[f],l[f]),n[f]=Math.max(n[f],c[f])}var p=U.bounds;if(U.autoBounds)for(var f=0;f&lt;3;++f){if(n[f]&lt;r[f])r[f]=-1,n[f]=1;else{r[f]===n[f]&amp;&amp;(r[f]-=1,n[f]+=1);var g=.05*(n[f]-r[f]);r[f]=r[f]-g,n[f]=n[f]+g}p[0][f]=r[f],p[1][f]=n[f]}for(var v=!1,f=0;f&lt;3;++f)v=v||W[0][f]!==p[0][f]||W[1][f]!==p[1][f],W[0][f]=p[0][f],W[1][f]=p[1][f];if(I=I||v,z=z||v){if(v){for(var y=[0,0,0],i=0;i&lt;3;++i)y[i]=m((p[1][i]-p[0][i])/10);E.autoTicks?E.update({bounds:p,tickSpacing:y}):E.update({bounds:p})}var x=b.drawingBufferWidth,T=b.drawingBufferHeight;j[0]=x,j[1]=T,V[0]=0|Math.max(x/U.pixelRatio,1),V[1]=0|Math.max(T/U.pixelRatio,1),M?(d(N,-x/T,x/T,-1,1,U.zNear,U.zFar),F._ortho=!0):(h(N,U.fovy,x/T,U.zNear,U.zFar),F._ortho=!1);for(var i=0;i&lt;16;++i)D[i]=0;D[15]=1;for(var k=0,i=0;i&lt;3;++i)k=Math.max(k,p[1][i]-p[0][i]);for(var i=0;i&lt;3;++i)U.autoScale?D[5*i]=U.aspect[i]/(p[1][i]-p[0][i]):D[5*i]=1/k,U.autoCenter&amp;&amp;(D[12+i]=.5*-D[5*i]*(p[0][i]+p[1][i]));for(var i=0;i&lt;e;++i){var o=C[i];o.axesBounds=p,U.clipToBounds&amp;&amp;(o.clipBounds=p)}_.object&amp;&amp;(U.snapToData?S.position=_.dataCoordinate:S.position=_.dataPosition,S.bounds=p),I&amp;&amp;(I=!1,function(){if(G())return;b.colorMask(!0,!0,!0,!0),b.depthMask(!0),b.disable(b.BLEND),b.enable(b.DEPTH_TEST);for(var t=C.length,e=P.length,r=0;r&lt;e;++r){var n=P[r];n.shape=V,n.begin();for(var i=0;i&lt;t;++i)if(O[i]===r){var a=C[i];a.drawPick&amp;&amp;(a.pixelRatio=1,a.drawPick(F))}n.end()}}()),U.axesPixels=a(U.axes,F,x,T),U.onrender&amp;&amp;U.onrender(),b.bindFramebuffer(b.FRAMEBUFFER,null),b.viewport(0,0,x,T);var L=U.clearColor;b.clearColor(L[0],L[1],L[2],L[3]),b.clear(b.COLOR_BUFFER_BIT|b.DEPTH_BUFFER_BIT),b.depthMask(!0),b.colorMask(!0,!0,!0,!0),b.enable(b.DEPTH_TEST),b.depthFunc(b.LEQUAL),b.disable(b.BLEND),b.disable(b.CULL_FACE);var R=!1;E.enable&amp;&amp;(R=R||E.isTransparent(),E.draw(F)),S.axes=E,_.object&amp;&amp;S.draw(F),b.disable(b.CULL_FACE);for(var i=0;i&lt;e;++i){var o=C[i];o.axes=E,o.pixelRatio=U.pixelRatio,o.isOpaque&amp;&amp;o.isOpaque()&amp;&amp;o.draw(F),o.isTransparent&amp;&amp;o.isTransparent()&amp;&amp;(R=!0)}if(R){w.shape=j,w.bind(),b.clear(b.DEPTH_BUFFER_BIT),b.colorMask(!1,!1,!1,!1),b.depthMask(!0),b.depthFunc(b.LESS),E.enable&amp;&amp;E.isTransparent()&amp;&amp;E.drawTransparent(F);for(var i=0;i&lt;e;++i){var o=C[i];o.isOpaque&amp;&amp;o.isOpaque()&amp;&amp;o.draw(F)}b.enable(b.BLEND),b.blendEquation(b.FUNC_ADD),b.blendFunc(b.ONE,b.ONE_MINUS_SRC_ALPHA),b.colorMask(!0,!0,!0,!0),b.depthMask(!1),b.clearColor(0,0,0,0),b.clear(b.COLOR_BUFFER_BIT),E.isTransparent()&amp;&amp;E.drawTransparent(F);for(var i=0;i&lt;e;++i){var o=C[i];o.isTransparent&amp;&amp;o.isTransparent()&amp;&amp;o.drawTransparent(F)}b.bindFramebuffer(b.FRAMEBUFFER,null),b.blendFunc(b.ONE,b.ONE_MINUS_SRC_ALPHA),b.disable(b.DEPTH_TEST),A.bind(),w.color[0].bind(0),A.uniforms.accumBuffer=0,u(b),b.disable(b.BLEND)}z=!1;for(var i=0;i&lt;e;++i)C[i].dirty=!1}}}return U.enableMouseListeners(),function t(){U._stopped||U.contextLost||(Y(),requestAnimationFrame(t))}(),U.redraw=function(){U._stopped||(z=!0,Y())},U},createCamera:n}},{&quot;./camera.js&quot;:140,&quot;./lib/shader&quot;:141,&quot;a-big-triangle&quot;:11,&quot;gl-axes3d&quot;:95,&quot;gl-axes3d/properties&quot;:102,&quot;gl-fbo&quot;:111,&quot;gl-mat4/ortho&quot;:127,&quot;gl-mat4/perspective&quot;:128,&quot;gl-select-static&quot;:148,&quot;gl-spikes3d&quot;:157,&quot;is-mobile&quot;:260,&quot;mouse-change&quot;:271,&quot;mouse-wheel&quot;:274}],143:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],d=r[0],p=r[1],g=r[2],v=r[3];(a=u*d+c*p+f*g+h*v)&lt;0&amp;&amp;(a=-a,d=-d,p=-p,g=-g,v=-v);1-a&gt;1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*u+l*d,t[1]=s*c+l*p,t[2]=s*f+l*g,t[3]=s*h+l*v,t}},{}],144:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t){return t||0===t?t.toString():&quot;&quot;}},{}],145:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;vectorize-text&quot;);e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:&quot;center&quot;,textBaseline:&quot;middle&quot;,lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&amp;&amp;1!==r){for(l=0;l&lt;s.positions.length;++l)for(u=0;u&lt;s.positions[l].length;++u)s.positions[l][u]/=r;for(l=0;l&lt;c.positions.length;++l)for(u=0;u&lt;c.positions[l].length;++u)c.positions[l][u]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=c.positions.length;for(l=0;l&lt;h;++l){var d=c.positions[l];for(u=0;u&lt;2;++u)f[0][u]=Math.min(f[0][u],d[u]),f[1][u]=Math.max(f[1][u],d[u])}return a[t]=[s,c,f]};var i={}},{&quot;vectorize-text&quot;:351}],146:[function(t,e,r){var n=t(&quot;gl-shader&quot;),i=t(&quot;glslify&quot;),a=i([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) &lt; 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}&quot;]),o=i([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) &lt; 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}&quot;]),s=i([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) &lt; 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n&quot;]),l=i([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n&quot;]),u=i([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}&quot;]),c=[{name:&quot;position&quot;,type:&quot;vec3&quot;},{name:&quot;color&quot;,type:&quot;vec4&quot;},{name:&quot;glyph&quot;,type:&quot;vec2&quot;},{name:&quot;id&quot;,type:&quot;vec4&quot;}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},d={vertex:s,fragment:l,attributes:c},p={vertex:a,fragment:u,attributes:c},g={vertex:o,fragment:u,attributes:c},v={vertex:s,fragment:u,attributes:c};function m(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return m(t,f)},r.createOrtho=function(t){return m(t,h)},r.createProject=function(t){return m(t,d)},r.createPickPerspective=function(t){return m(t,p)},r.createPickOrtho=function(t){return m(t,g)},r.createPickProject=function(t){return m(t,v)}},{&quot;gl-shader&quot;:149,glslify:250}],147:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;is-string-blank&quot;),i=t(&quot;gl-buffer&quot;),a=t(&quot;gl-vao&quot;),o=t(&quot;typedarray-pool&quot;),s=t(&quot;gl-mat4/multiply&quot;),l=t(&quot;./lib/shaders&quot;),u=t(&quot;./lib/glyphs&quot;),c=t(&quot;./lib/get-simple-string&quot;),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function d(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function p(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t?1:t&gt;1?1:t}function v(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new p(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),d=i(e),p=i(e),g=a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:d,size:2,type:e.FLOAT},{buffer:p,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),m=new v(e,r,n,o,f,h,d,p,g,s,u,c);return m.update(t),m};var m=v.prototype;m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t&lt;3;++t)if(this.axesProject[t]&amp;&amp;this.projectHasAlpha)return!0;return!1},m.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t&lt;3;++t)if(this.axesProject[t]&amp;&amp;!this.projectHasAlpha)return!0;return!1};var y=[0,0],b=[0,0,0],x=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],A=f.slice(),M=[0,0,0],T=[[0,0,0],[0,0,0]];function k(t){return t[0]=t[1]=t[2]=0,t}function E(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function L(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function S(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,p=e.axesBounds,g=function(t){for(var e=T,r=0;r&lt;2;++r)for(var n=0;n&lt;3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&amp;&amp;e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var v=0;v&lt;3;++v)if(a[v]){l.scale=e.projectScale[v],l.opacity=e.projectOpacity[v];for(var m=A,S=0;S&lt;16;++S)m[S]=0;for(S=0;S&lt;4;++S)m[5*S]=1;m[5*v]=0,i[v]&lt;0?m[12+v]=p[0][v]:m[12+v]=p[1][v],s(m,u,m),l.model=m;var C=(v+1)%3,O=(v+2)%3,R=k(b),P=k(x);R[C]=1,P[O]=1;var z=d(0,0,0,E(_,R)),I=d(0,0,0,E(w,P));if(Math.abs(z[1])&gt;Math.abs(I[1])){var N=z;z=I,I=N,N=R,R=P,P=N;var D=C;C=O,O=D}z[0]&lt;0&amp;&amp;(R[C]=-1),I[1]&gt;0&amp;&amp;(P[O]=-1);var F=0,j=0;for(S=0;S&lt;4;++S)F+=Math.pow(u[4*C+S],2),j+=Math.pow(u[4*O+S],2);R[C]/=Math.sqrt(F),P[O]/=Math.sqrt(j),l.axes[0]=R,l.axes[1]=P,l.fragClipBounds[0]=L(M,g[0],v,-1e8),l.fragClipBounds[1]=L(M,g[1],v,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth&gt;0&amp;&amp;(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function O(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&amp;&amp;S(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth&gt;0&amp;&amp;(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function R(t,e,r,i){var a;a=Array.isArray(t)?e&lt;t.length?t[e]:void 0:t,a=c(a);var o=!0;n(a)&amp;&amp;(a=&quot;\\u25bc&quot;,o=!1);var s=u(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}m.draw=function(t){O(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},m.drawTransparent=function(t){O(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},m.drawPick=function(t){O(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},m.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]&lt;&lt;8)+(t.value[0]&lt;&lt;16);if(e&gt;=this.pointCount||e&lt;0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i&lt;3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},m.highlight=function(t){if(t){var e=t.index,r=255&amp;e,n=e&gt;&gt;8&amp;255,i=e&gt;&gt;16&amp;255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},m.update=function(t){if(&quot;perspective&quot;in(t=t||{})&amp;&amp;(this.useOrtho=!t.perspective),&quot;orthographic&quot;in t&amp;&amp;(this.useOrtho=!!t.orthographic),&quot;lineWidth&quot;in t&amp;&amp;(this.lineWidth=t.lineWidth),&quot;project&quot;in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(&quot;projectScale&quot;in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,&quot;projectOpacity&quot;in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n&lt;3;++n)this.projectOpacity[n]=g(this.projectOpacity[n]),this.projectOpacity[n]&lt;1&amp;&amp;(this.projectHasAlpha=!0)}this.hasAlpha=!1,&quot;opacity&quot;in t&amp;&amp;(this.opacity=g(t.opacity),this.opacity&lt;1&amp;&amp;(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||&quot;normal&quot;,u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else{i=[],a=[];for(n=0;n&lt;u.length;++n)i[n]=u[n][0],a[n]=u[n][1]}var c=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,d=t.color,p=t.size,v=t.angle,m=t.lineColor,y=-1,b=0,x=0,_=0;if(s.length){_=s.length;t:for(n=0;n&lt;_;++n){for(var w=s[n],A=0;A&lt;3;++A)if(isNaN(w[A])||!isFinite(w[A]))continue t;var M=(j=R(h,n,l,this.pixelRatio)).mesh,T=j.lines,k=j.bounds;b+=3*M.cells.length,x+=2*T.edges.length}}var E=b+x,L=o.mallocFloat(3*E),S=o.mallocFloat(4*E),C=o.mallocFloat(2*E),O=o.mallocUint32(E);if(E&gt;0){var P=0,z=b,I=[0,0,0,1],N=[0,0,0,1],D=Array.isArray(d)&amp;&amp;Array.isArray(d[0]),F=Array.isArray(m)&amp;&amp;Array.isArray(m[0]);t:for(n=0;n&lt;_;++n){y+=1;for(w=s[n],A=0;A&lt;3;++A){if(isNaN(w[A])||!isFinite(w[A]))continue t;f[A]=Math.max(f[A],w[A]),c[A]=Math.min(c[A],w[A])}M=(j=R(h,n,l,this.pixelRatio)).mesh,T=j.lines,k=j.bounds;var j,B=j.visible;if(B)if(Array.isArray(d)){if(3===(U=D?n&lt;d.length?d[n]:[0,0,0,0]:d).length){for(A=0;A&lt;3;++A)I[A]=U[A];I[3]=1}else if(4===U.length){for(A=0;A&lt;4;++A)I[A]=U[A];!this.hasAlpha&amp;&amp;U[3]&lt;1&amp;&amp;(this.hasAlpha=!0)}}else I[0]=I[1]=I[2]=0,I[3]=1;else I=[1,1,1,0];if(B)if(Array.isArray(m)){var U;if(3===(U=F?n&lt;m.length?m[n]:[0,0,0,0]:m).length){for(A=0;A&lt;3;++A)N[A]=U[A];N[A]=1}else if(4===U.length){for(A=0;A&lt;4;++A)N[A]=U[A];!this.hasAlpha&amp;&amp;U[3]&lt;1&amp;&amp;(this.hasAlpha=!0)}}else N[0]=N[1]=N[2]=0,N[3]=1;else N=[1,1,1,0];var V=.5;B?Array.isArray(p)?V=n&lt;p.length?+p[n]:12:p?V=+p:this.useOrtho&amp;&amp;(V=12):V=0;var H=0;Array.isArray(v)?H=n&lt;v.length?+v[n]:0:v&amp;&amp;(H=+v);var q=Math.cos(H),G=Math.sin(H);for(w=s[n],A=0;A&lt;3;++A)f[A]=Math.max(f[A],w[A]),c[A]=Math.min(c[A],w[A]);var X=i,W=a;X=0;Array.isArray(i)?X=n&lt;i.length?i[n]:0:i&amp;&amp;(X=i);W=0;Array.isArray(a)?W=n&lt;a.length?a[n]:0:a&amp;&amp;(W=a);var Y=[X*=X&gt;0?1-k[0][0]:X&lt;0?1+k[1][0]:1,W*=W&gt;0?1-k[0][1]:W&lt;0?1+k[1][1]:1],Z=M.cells||[],Q=M.positions||[];for(A=0;A&lt;Z.length;++A)for(var $=Z[A],J=0;J&lt;3;++J){for(var K=0;K&lt;3;++K)L[3*P+K]=w[K];for(K=0;K&lt;4;++K)S[4*P+K]=I[K];O[P]=y;var tt=Q[$[J]];C[2*P]=V*(q*tt[0]-G*tt[1]+Y[0]),C[2*P+1]=V*(G*tt[0]+q*tt[1]+Y[1]),P+=1}for(Z=T.edges,Q=T.positions,A=0;A&lt;Z.length;++A)for($=Z[A],J=0;J&lt;2;++J){for(K=0;K&lt;3;++K)L[3*z+K]=w[K];for(K=0;K&lt;4;++K)S[4*z+K]=N[K];O[z]=y;tt=Q[$[J]];C[2*z]=V*(q*tt[0]-G*tt[1]+Y[0]),C[2*z+1]=V*(G*tt[0]+q*tt[1]+Y[1]),z+=1}}}this.bounds=[c,f],this.points=s,this.pointCount=s.length,this.vertexCount=b,this.lineVertexCount=x,this.pointBuffer.update(L),this.colorBuffer.update(S),this.glyphBuffer.update(C),this.idBuffer.update(O),o.free(L),o.free(S),o.free(C),o.free(O)},m.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{&quot;./lib/get-simple-string&quot;:144,&quot;./lib/glyphs&quot;:145,&quot;./lib/shaders&quot;:146,&quot;gl-buffer&quot;:103,&quot;gl-mat4/multiply&quot;:126,&quot;gl-vao&quot;:168,&quot;is-string-blank&quot;:262,&quot;typedarray-pool&quot;:348}],148:[function(t,e,r){&quot;use 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t=this.gl;t&amp;&amp;(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,&quot;number&quot;!=typeof r&amp;&amp;(r=1);var i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),u=0|Math.min(Math.max(e-r,0),n[1]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o&lt;=i||c&lt;=u)return null;var f=[o-i,c-u],h=a(this.buffer,[f[0],f[1],4],[4,4*n[0],1],4*(i+n[0]*u)),d=s(h.hi(f[0],f[1],1),r,r),p=d[0],g=d[1];return p&lt;0||Math.pow(this.radius,2)&lt;d[2]?null:new 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v=d.createProgram();if(d.attachShader(v,h.fragShader),d.attachShader(v,h.vertShader),d.linkProgram(v),!d.getProgramParameter(v,d.LINK_STATUS)){var m=d.getProgramInfoLog(v);throw new l(m,&quot;Error linking program:&quot;+m)}r=r||s.uniforms(d,v),u=u||s.attributes(d,v),d.deleteProgram(v)}(u=u.slice()).sort(f);var y,b=[],x=[],_=[];for(y=0;y&lt;u.length;++y){var w=u[y];if(w.type.indexOf(&quot;mat&quot;)&gt;=0){for(var A=0|w.type.charAt(w.type.length-1),M=new Array(A),T=0;T&lt;A;++T)M[T]=_.length,x.push(w.name+&quot;[&quot;+T+&quot;]&quot;),&quot;number&quot;==typeof w.location?_.push(w.location+T):Array.isArray(w.location)&amp;&amp;w.location.length===A&amp;&amp;&quot;number&quot;==typeof w.location[T]?_.push(0|w.location[T]):_.push(-1);b.push({name:w.name,type:w.type,locations:M})}else b.push({name:w.name,type:w.type,locations:[_.length]}),x.push(w.name),&quot;number&quot;==typeof w.location?_.push(0|w.location):_.push(-1)}var k=0;for(y=0;y&lt;_.length;++y)if(_[y]&lt;0){for(;_.indexOf(k)&gt;=0;)k+=1;_[y]=k}var E=new Array(r.length);function L(){h.program=o.program(d,h._vref,h._fref,x,_);for(var t=0;t&lt;r.length;++t)E[t]=d.getUniformLocation(h.program,r[t].name)}L(),h._relink=L,h.types={uniforms:a(r),attributes:a(u)},h.attributes=i(d,h,b,_),Object.defineProperty(h,&quot;uniforms&quot;,n(d,h,r,E))},e.exports=function(t,e,r,n,i){var a=new u(t);return a.update(e,r,n,i),a}},{&quot;./lib/GLError&quot;:150,&quot;./lib/create-attributes&quot;:151,&quot;./lib/create-uniforms&quot;:152,&quot;./lib/reflect&quot;:153,&quot;./lib/runtime-reflect&quot;:154,&quot;./lib/shader-cache&quot;:155}],150:[function(t,e,r){function n(t,e,r){this.shortMessage=e||&quot;&quot;,this.longMessage=r||&quot;&quot;,this.rawError=t||&quot;&quot;,this.message=&quot;gl-shader: &quot;+(e||t||&quot;&quot;)+(r?&quot;\\n&quot;+r:&quot;&quot;),this.stack=(new Error).stack}n.prototype=new 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i(t,e,r,n,i,a){this._gl=t,this._wrapper=e,this._index=r,this._locations=n,this._dimension=i,this._constFunc=a}var a=i.prototype;function o(t,e,r,n,a,o,s){for(var l=[&quot;gl&quot;,&quot;v&quot;],u=[],c=0;c&lt;a;++c)l.push(&quot;x&quot;+c),u.push(&quot;x&quot;+c);l.push(&quot;if(x0.length===void 0){return gl.vertexAttrib&quot;+a+&quot;f(v,&quot;+u.join()+&quot;)}else{return gl.vertexAttrib&quot;+a+&quot;fv(v,x0)}&quot;);var f=Function.apply(null,l),h=new i(t,e,r,n,a,f);Object.defineProperty(o,s,{set:function(e){return t.disableVertexAttribArray(n[r]),f(t,n[r],e),e},get:function(){return h},enumerable:!0})}function s(t,e,r,n,i,a,s){for(var l=new Array(i),u=new Array(i),c=0;c&lt;i;++c)o(t,e,r[c],n,i,l,c),u[c]=l[c];Object.defineProperty(l,&quot;location&quot;,{set:function(t){if(Array.isArray(t))for(var e=0;e&lt;i;++e)u[e].location=t[e];else for(e=0;e&lt;i;++e)u[e].location=t+e;return t},get:function(){for(var t=new Array(i),e=0;e&lt;i;++e)t[e]=n[r[e]];return t},enumerable:!0}),l.pointer=function(e,a,o,s){e=e||t.FLOAT,a=!!a,o=o||i*i,s=s||0;for(var l=0;l&lt;i;++l){var u=n[r[l]];t.vertexAttribPointer(u,i,e,a,o,s+l*i),t.enableVertexAttribArray(u)}};var f=new Array(i),h=t[&quot;vertexAttrib&quot;+i+&quot;fv&quot;];Object.defineProperty(a,s,{set:function(e){for(var a=0;a&lt;i;++a){var o=n[r[a]];if(t.disableVertexAttribArray(o),Array.isArray(e[0]))h.call(t,o,e[a]);else{for(var s=0;s&lt;i;++s)f[s]=e[i*a+s];h.call(t,o,f)}}return e},get:function(){return l},enumerable:!0})}a.pointer=function(t,e,r,n){var i=this._gl,a=this._locations[this._index];i.vertexAttribPointer(a,this._dimension,t||i.FLOAT,!!e,r||0,n||0),i.enableVertexAttribArray(a)},a.set=function(t,e,r,n){return this._constFunc(this._locations[this._index],t,e,r,n)},Object.defineProperty(a,&quot;location&quot;,{get:function(){return this._locations[this._index]},set:function(t){return t!==this._locations[this._index]&amp;&amp;(this._locations[this._index]=0|t,this._wrapper.program=null),0|t}})},{&quot;./GLError&quot;:150}],152:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./reflect&quot;),i=t(&quot;./GLError&quot;);function a(t){return new Function(&quot;y&quot;,&quot;return function(){return y}&quot;)(t)}function o(t,e){for(var r=new Array(t),n=0;n&lt;t;++n)r[n]=e;return r}e.exports=function(t,e,r,s){function l(t,e,r){switch(r){case&quot;bool&quot;:case&quot;int&quot;:case&quot;sampler2D&quot;:case&quot;samplerCube&quot;:return&quot;gl.uniform1i(locations[&quot;+e+&quot;],obj&quot;+t+&quot;)&quot;;case&quot;float&quot;:return&quot;gl.uniform1f(locations[&quot;+e+&quot;],obj&quot;+t+&quot;)&quot;;default:var n=r.indexOf(&quot;vec&quot;);if(!(0&lt;=n&amp;&amp;n&lt;=1&amp;&amp;r.length===4+n)){if(0===r.indexOf(&quot;mat&quot;)&amp;&amp;4===r.length){var a=r.charCodeAt(r.length-1)-48;if(a&lt;2||a&gt;4)throw new i(&quot;&quot;,&quot;Invalid uniform dimension 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e=t.indexOf(&quot;vec&quot;);if(0&lt;=e&amp;&amp;e&lt;=1&amp;&amp;t.length===4+e){var r=t.charCodeAt(t.length-1)-48;if(r&lt;2||r&gt;4)throw new i(&quot;&quot;,&quot;Invalid data type&quot;);return&quot;b&quot;===t.charAt(0)?o(r,!1):o(r,0)}if(0===t.indexOf(&quot;mat&quot;)&amp;&amp;4===t.length){var r=t.charCodeAt(t.length-1)-48;if(r&lt;2||r&gt;4)throw new i(&quot;&quot;,&quot;Invalid uniform dimension type for matrix &quot;+name+&quot;: &quot;+t);return o(r*r,0)}throw new i(&quot;&quot;,&quot;Unknown uniform data type for &quot;+name+&quot;: &quot;+t)}}(r[c].type);var d}function f(t){var e;if(Array.isArray(t)){e=new Array(t.length);for(var r=0;r&lt;t.length;++r)c(e,r,t[r])}else for(var n in e={},t)c(e,n,t[n]);return e}var h=n(r,!0);return{get:a(f(h)),set:u(h),enumerable:!0,configurable:!0}}},{&quot;./GLError&quot;:150,&quot;./reflect&quot;:153}],153:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e){for(var r={},n=0;n&lt;t.length;++n)for(var i=t[n].name,a=i.split(&quot;.&quot;),o=r,s=0;s&lt;a.length;++s){var l=a[s].split(&quot;[&quot;);if(l.length&gt;1){l[0]in o||(o[l[0]]=[]),o=o[l[0]];for(var u=1;u&lt;l.length;++u){var c=parseInt(l[u]);u&lt;l.length-1||s&lt;a.length-1?(c in o||(u&lt;l.length-1?o[c]=[]:o[c]={}),o=o[c]):o[c]=e?n:t[n].type}}else s&lt;a.length-1?(l[0]in o||(o[l[0]]={}),o=o[l[0]]):o[l[0]]=e?n:t[n].type}return r}},{}],154:[function(t,e,r){&quot;use strict&quot;;r.uniforms=function(t,e){for(var r=t.getProgramParameter(e,t.ACTIVE_UNIFORMS),n=[],i=0;i&lt;r;++i){var o=t.getActiveUniform(e,i);if(o){var s=a(t,o.type);if(o.size&gt;1)for(var l=0;l&lt;o.size;++l)n.push({name:o.name.replace(&quot;[0]&quot;,&quot;[&quot;+l+&quot;]&quot;),type:s});else n.push({name:o.name,type:s})}}return n},r.attributes=function(t,e){for(var r=t.getProgramParameter(e,t.ACTIVE_ATTRIBUTES),n=[],i=0;i&lt;r;++i){var o=t.getActiveAttrib(e,i);o&amp;&amp;n.push({name:o.name,type:a(t,o.type)})}return n};var n={FLOAT:&quot;float&quot;,FLOAT_VEC2:&quot;vec2&quot;,FLOAT_VEC3:&quot;vec3&quot;,FLOAT_VEC4:&quot;vec4&quot;,INT:&quot;int&quot;,INT_VEC2:&quot;ivec2&quot;,INT_VEC3:&quot;ivec3&quot;,INT_VEC4:&quot;ivec4&quot;,BOOL:&quot;bool&quot;,BOOL_VEC2:&quot;bvec2&quot;,BOOL_VEC3:&quot;bvec3&quot;,BOOL_VEC4:&quot;bvec4&quot;,FLOAT_MAT2:&quot;mat2&quot;,FLOAT_MAT3:&quot;mat3&quot;,FLOAT_MAT4:&quot;mat4&quot;,SAMPLER_2D:&quot;sampler2D&quot;,SAMPLER_CUBE:&quot;samplerCube&quot;},i=null;function a(t,e){if(!i){var r=Object.keys(n);i={};for(var a=0;a&lt;r.length;++a){var o=r[a];i[t[o]]=n[o]}}return i[e]}},{}],155:[function(t,e,r){&quot;use strict&quot;;r.shader=function(t,e,r){return c(t).getShaderReference(e,r)},r.program=function(t,e,r,n,i){return c(t).getProgram(e,r,n,i)};var n=t(&quot;./GLError&quot;),i=t(&quot;gl-format-compiler-error&quot;),a=new(&quot;undefined&quot;==typeof WeakMap?t(&quot;weakmap-shim&quot;):WeakMap),o=0;function s(t,e,r,n,i,a,o){this.id=t,this.src=e,this.type=r,this.shader=n,this.count=a,this.programs=[],this.cache=o}function l(t){this.gl=t,this.shaders=[{},{}],this.programs={}}s.prototype.dispose=function(){if(0==--this.count){for(var t=this.cache,e=t.gl,r=this.programs,n=0,i=r.length;n&lt;i;++n){var a=t.programs[r[n]];a&amp;&amp;(delete t.programs[n],e.deleteProgram(a))}e.deleteShader(this.shader),delete t.shaders[this.type===e.FRAGMENT_SHADER|0][this.src]}};var u=l.prototype;function c(t){var e=a.get(t);return e||(e=new l(t),a.set(t,e)),e}u.getShaderReference=function(t,e){var r=this.gl,a=this.shaders[t===r.FRAGMENT_SHADER|0],l=a[e];if(l&amp;&amp;r.isShader(l.shader))l.count+=1;else{var u=function(t,e,r){var a=t.createShader(e);if(t.shaderSource(a,r),t.compileShader(a),!t.getShaderParameter(a,t.COMPILE_STATUS)){var o=t.getShaderInfoLog(a);try{var s=i(o,r,e)}catch(t){throw console.warn(&quot;Failed to format compiler error: &quot;+t),new n(o,&quot;Error compiling shader:\\n&quot;+o)}throw new n(o,s.short,s.long)}return a}(r,t,e);l=a[e]=new s(o++,e,t,u,[],1,this)}return l},u.getProgram=function(t,e,r,i){var a=[t.id,e.id,r.join(&quot;:&quot;),i.join(&quot;:&quot;)].join(&quot;@&quot;),o=this.programs[a];return o&amp;&amp;this.gl.isProgram(o)||(this.programs[a]=o=function(t,e,r,i,a){var o=t.createProgram();t.attachShader(o,e),t.attachShader(o,r);for(var s=0;s&lt;i.length;++s)t.bindAttribLocation(o,a[s],i[s]);if(t.linkProgram(o),!t.getProgramParameter(o,t.LINK_STATUS)){var l=t.getProgramInfoLog(o);throw new n(l,&quot;Error linking program: &quot;+l)}return o}(this.gl,t.shader,e.shader,r,i),t.programs.push(a),e.programs.push(a)),o}},{&quot;./GLError&quot;:150,&quot;gl-format-compiler-error&quot;:112,&quot;weakmap-shim&quot;:356}],156:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;glslify&quot;),i=t(&quot;gl-shader&quot;),a=n([&quot;precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, color;\\nattribute float weight;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 coordinates[3];\\nuniform vec4 colors[3];\\nuniform vec2 screenShape;\\nuniform float lineWidth;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vertexPosition = mix(coordinates[0],\\n    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\\n\\n  vec4 clipPos = projection * view * model * vec4(vertexPosition, 1.0);\\n  vec2 clipOffset = (projection * view * model * vec4(color, 0.0)).xy;\\n  vec2 delta = weight * clipOffset * screenShape;\\n  vec2 lineOffset = normalize(vec2(delta.y, -delta.x)) / screenShape;\\n\\n  gl_Position   = vec4(clipPos.xy + clipPos.w * 0.5 * lineWidth * lineOffset, clipPos.z, clipPos.w);\\n  fragColor     = color.x * colors[0] + color.y * colors[1] + color.z * colors[2];\\n}\\n&quot;]),o=n([&quot;precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  gl_FragColor = fragColor;\\n}&quot;]);e.exports=function(t){return i(t,a,o,null,[{name:&quot;position&quot;,type:&quot;vec3&quot;},{name:&quot;color&quot;,type:&quot;vec3&quot;},{name:&quot;weight&quot;,type:&quot;float&quot;}])}},{&quot;gl-shader&quot;:149,glslify:250}],157:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;gl-buffer&quot;),i=t(&quot;gl-vao&quot;),a=t(&quot;./shaders/index&quot;);e.exports=function(t,e){var r=[];function o(t,e,n,i,a,o){var s=[t,e,n,0,0,0,1];s[i+3]=1,s[i]=a,r.push.apply(r,s),s[6]=-1,r.push.apply(r,s),s[i]=o,r.push.apply(r,s),r.push.apply(r,s),s[6]=1,r.push.apply(r,s),s[i]=a,r.push.apply(r,s)}o(0,0,0,0,0,1),o(0,0,0,1,0,1),o(0,0,0,2,0,1),o(1,0,0,1,-1,1),o(1,0,0,2,-1,1),o(0,1,0,0,-1,1),o(0,1,0,2,-1,1),o(0,0,1,0,-1,1),o(0,0,1,1,-1,1);var l=n(t,r),u=i(t,[{type:t.FLOAT,buffer:l,size:3,offset:0,stride:28},{type:t.FLOAT,buffer:l,size:3,offset:12,stride:28},{type:t.FLOAT,buffer:l,size:1,offset:24,stride:28}]),c=a(t);c.attributes.position.location=0,c.attributes.color.location=1,c.attributes.weight.location=2;var f=new s(t,l,u,c);return f.update(e),f};var o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[!0,!0,!0],this.drawSides=[!0,!0,!0],this.axes=null}var l=s.prototype,u=[0,0,0],c=[0,0,0],f=[0,0];l.isTransparent=function(){return!1},l.drawTransparent=function(t){},l.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var i,a=t.model||o,s=t.view||o,l=t.projection||o;this.axes&amp;&amp;(i=this.axes.lastCubeProps.axis);for(var h=u,d=c,p=0;p&lt;3;++p)i&amp;&amp;i[p]&lt;0?(h[p]=this.bounds[0][p],d[p]=this.bounds[1][p]):(h[p]=this.bounds[1][p],d[p]=this.bounds[0][p]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,d],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(p=0;p&lt;3;++p)n.uniforms.lineWidth=this.lineWidth[p]*this.pixelRatio,this.enabled[p]&amp;&amp;(r.draw(e.TRIANGLES,6,6*p),this.drawSides[p]&amp;&amp;r.draw(e.TRIANGLES,12,18+12*p));r.unbind()},l.update=function(t){t&amp;&amp;(&quot;bounds&quot;in t&amp;&amp;(this.bounds=t.bounds),&quot;position&quot;in t&amp;&amp;(this.position=t.position),&quot;lineWidth&quot;in t&amp;&amp;(this.lineWidth=t.lineWidth),&quot;colors&quot;in t&amp;&amp;(this.colors=t.colors),&quot;enabled&quot;in t&amp;&amp;(this.enabled=t.enabled),&quot;drawSides&quot;in t&amp;&amp;(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{&quot;./shaders/index&quot;:156,&quot;gl-buffer&quot;:103,&quot;gl-vao&quot;:168}],158:[function(t,e,r){var n=t(&quot;glslify&quot;),i=n([&quot;precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn&#x27;t (0,0,0).\\n  // From the above if-statement we have ||a|| &gt; 0  U  ||b|| &gt; 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x &gt; v.z*v.z || v.y*v.y &gt; v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\nuniform float vectorScale;\\nuniform float tubeScale;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data\\n           , f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model &amp; view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal,0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n&quot;]),a=n([&quot;#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular\\n            , opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data\\n           , f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n&quot;]),o=n([&quot;precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn&#x27;t (0,0,0).\\n  // From the above if-statement we have ||a|| &gt; 0  U  ||b|| &gt; 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x &gt; v.z*v.z || v.y*v.y &gt; v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n&quot;]),s=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}&quot;]);r.meshShader={vertex:i,fragment:a,attributes:[{name:&quot;position&quot;,type:&quot;vec4&quot;},{name:&quot;normal&quot;,type:&quot;vec3&quot;},{name:&quot;color&quot;,type:&quot;vec4&quot;},{name:&quot;uv&quot;,type:&quot;vec2&quot;},{name:&quot;vector&quot;,type:&quot;vec4&quot;}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:&quot;position&quot;,type:&quot;vec4&quot;},{name:&quot;id&quot;,type:&quot;vec4&quot;},{name:&quot;vector&quot;,type:&quot;vec4&quot;}]}},{glslify:250}],159:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;gl-shader&quot;),i=t(&quot;gl-buffer&quot;),a=t(&quot;gl-vao&quot;),o=t(&quot;gl-texture2d&quot;),s=t(&quot;normals&quot;),l=t(&quot;gl-mat4/multiply&quot;),u=t(&quot;gl-mat4/invert&quot;),c=t(&quot;ndarray&quot;),f=t(&quot;colormap&quot;),h=t(&quot;simplicial-complex-contour&quot;),d=t(&quot;typedarray-pool&quot;),p=t(&quot;./shaders&quot;),g=p.meshShader,v=p.pickShader,m=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function y(t,e,r,n,i,a,o,s,l,u,c,f,h,d,p,g,v,y,b,x,_,w,A,M){this.gl=t,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleNormals=u,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.lineWidth=1,this.edgePositions=f,this.edgeColors=d,this.edgeUVs=p,this.edgeIds=h,this.edgeVAO=g,this.edgeCount=0,this.pointPositions=v,this.pointColors=b,this.pointUVs=x,this.pointSizes=_,this.pointIds=y,this.pointVAO=w,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,this.contourVAO=M,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!1,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.tubeScale=1,this._model=m,this._view=m,this._projection=m,this._resolution=[1,1],this.pixelRatio=1}var b=y.prototype;function x(t){var e=n(t,v.vertex,v.fragment,null,v.attributes);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.vector.location=5,e}b.isOpaque=function(){return this.opacity&gt;=1},b.isTransparent=function(){return this.opacity&lt;1},b.pickSlots=1,b.setPickBase=function(t){this.pickId=t},b.highlight=function(t){if(t&amp;&amp;this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=d.mallocFloat32(6*a),s=0,l=0;l&lt;a;++l)for(var u=r[l],c=0;c&lt;2;++c){var f=u[0];2===u.length&amp;&amp;(f=u[c]);for(var p=n[f][0],g=n[f][1],v=i[f],m=1-v,y=this.positions[p],b=this.positions[g],x=0;x&lt;3;++x)o[s++]=v*y[x]+m*b[x]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),d.free(o)}else this.contourCount=0},b.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,&quot;contourEnable&quot;in t&amp;&amp;(this.contourEnable=t.contourEnable),&quot;contourColor&quot;in t&amp;&amp;(this.contourColor=t.contourColor),&quot;lineWidth&quot;in t&amp;&amp;(this.lineWidth=t.lineWidth),&quot;lightPosition&quot;in t&amp;&amp;(this.lightPosition=t.lightPosition),&quot;opacity&quot;in t&amp;&amp;(this.opacity=t.opacity),&quot;ambient&quot;in t&amp;&amp;(this.ambientLight=t.ambient),&quot;diffuse&quot;in t&amp;&amp;(this.diffuseLight=t.diffuse),&quot;specular&quot;in t&amp;&amp;(this.specularLight=t.specular),&quot;roughness&quot;in t&amp;&amp;(this.roughness=t.roughness),&quot;fresnel&quot;in t&amp;&amp;(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&amp;&amp;(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=f({colormap:t,nshades:256,format:&quot;rgba&quot;}),r=new Uint8Array(1024),n=0;n&lt;256;++n){for(var i=e[n],a=0;a&lt;3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&amp;&amp;r&amp;&amp;i){void 0!==t.tubeScale&amp;&amp;(this.tubeScale=t.tubeScale);var a=[],l=[],u=[],h=[],d=[],p=[],g=[],v=[],m=[],y=[],b=[],x=[],_=[],w=[],A=[];this.cells=r,this.positions=n,this.vectors=i;var M=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,E=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&amp;&amp;!T&amp;&amp;(T=s.faceNormals(r,n,E)),T||M||(M=s.vertexNormals(r,n,k));var L=t.vertexColors,S=t.cellColors,C=t.meshColor||[1,1,1,1],O=t.vertexUVs,R=t.vertexIntensity,P=t.cellUVs,z=t.cellIntensity,I=1/0,N=-1/0;if(!O&amp;&amp;!P)if(R)if(t.vertexIntensityBounds)I=+t.vertexIntensityBounds[0],N=+t.vertexIntensityBounds[1];else for(var D=0;D&lt;R.length;++D){var F=R[D];I=Math.min(I,F),N=Math.max(N,F)}else if(z)for(D=0;D&lt;z.length;++D){F=z[D];I=Math.min(I,F),N=Math.max(N,F)}else for(D=0;D&lt;n.length;++D){F=n[D][2];I=Math.min(I,F),N=Math.max(N,F)}this.intensity=R||(z?function(t,e,r){for(var n=new Array(e),i=0;i&lt;e;++i)n[i]=0;var a=t.length;for(i=0;i&lt;a;++i)for(var o=t[i],s=0;s&lt;o.length;++s)n[o[s]]=r[i];return n}(r,n.length,z):function(t){for(var e=t.length,r=new Array(e),n=0;n&lt;e;++n)r[n]=t[n][2];return r}(n));var j=t.pointSizes,B=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(D=0;D&lt;n.length;++D)for(var U=n[D],V=0;V&lt;3;++V)!isNaN(U[V])&amp;&amp;isFinite(U[V])&amp;&amp;(this.bounds[0][V]=Math.min(this.bounds[0][V],U[V]),this.bounds[1][V]=Math.max(this.bounds[1][V],U[V]));var H=0,q=0,G=0;t:for(D=0;D&lt;r.length;++D){var X=r[D];switch(X.length){case 1:for(U=n[Y=X[0]],V=0;V&lt;3;++V)if(isNaN(U[V])||!isFinite(U[V]))continue t;b.push(U[0],U[1],U[2],U[3]),3===(Z=L?L[Y]:S?S[D]:C).length?x.push(Z[0],Z[1],Z[2],1):x.push(Z[0],Z[1],Z[2],Z[3]),Q=O?O[Y]:R?[(R[Y]-I)/(N-I),0]:P?P[D]:z?[(z[D]-I)/(N-I),0]:[(U[2]-I)/(N-I),0],_.push(Q[0],Q[1]),j?w.push(j[Y]):w.push(B),A.push(D),G+=1;break;case 2:for(V=0;V&lt;2;++V){U=n[Y=X[V]];for(var W=0;W&lt;3;++W)if(isNaN(U[W])||!isFinite(U[W]))continue t}for(V=0;V&lt;2;++V){U=n[Y=X[V]];g.push(U[0],U[1],U[2]),3===(Z=L?L[Y]:S?S[D]:C).length?v.push(Z[0],Z[1],Z[2],1):v.push(Z[0],Z[1],Z[2],Z[3]),Q=O?O[Y]:R?[(R[Y]-I)/(N-I),0]:P?P[D]:z?[(z[D]-I)/(N-I),0]:[(U[2]-I)/(N-I),0],m.push(Q[0],Q[1]),y.push(D)}q+=1;break;case 3:for(V=0;V&lt;3;++V)for(U=n[Y=X[V]],W=0;W&lt;3;++W)if(isNaN(U[W])||!isFinite(U[W]))continue t;for(V=0;V&lt;3;++V){var Y;U=n[Y=X[2-V]];a.push(U[0],U[1],U[2],U[3]);var Z,Q,$,J=i[Y];l.push(J[0],J[1],J[2],J[3]),3===(Z=L?L[Y]:S?S[D]:C).length?u.push(Z[0],Z[1],Z[2],1):u.push(Z[0],Z[1],Z[2],Z[3]),Q=O?O[Y]:R?[(R[Y]-I)/(N-I),0]:P?P[D]:z?[(z[D]-I)/(N-I),0]:[(U[2]-I)/(N-I),0],d.push(Q[0],Q[1]),$=M?M[Y]:T[D],h.push($[0],$[1],$[2]),p.push(D)}H+=1}}this.pointCount=G,this.edgeCount=q,this.triangleCount=H,this.pointPositions.update(b),this.pointColors.update(x),this.pointUVs.update(_),this.pointSizes.update(w),this.pointIds.update(new Uint32Array(A)),this.edgePositions.update(g),this.edgeColors.update(v),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(y)),this.trianglePositions.update(a),this.triangleVectors.update(l),this.triangleColors.update(u),this.triangleUVs.update(d),this.triangleNormals.update(h),this.triangleIds.update(new Uint32Array(p))}},b.drawTransparent=b.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||m,n=t.view||m,i=t.projection||m,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o&lt;3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:m.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);l(c,s.view,s.model),l(c,s.projection,c),u(c,c);for(o=0;o&lt;3;++o)s.eyePosition[o]=c[12+o]/c[15];var f=c[15];for(o=0;o&lt;3;++o)f+=this.lightPosition[o]*c[4*o+3];for(o=0;o&lt;3;++o){for(var h=c[12+o],d=0;d&lt;3;++d)h+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=h/f}if(this.triangleCount&gt;0){var p=this.triShader;p.bind(),p.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},b.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||m,n=t.view||m,i=t.projection||m,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o&lt;3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount&gt;0&amp;&amp;(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount&gt;0&amp;&amp;(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind())},b.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3);return{index:e,position:n,intensity:this.intensity[r[1]],velocity:this.vectors[r[1]].slice(0,3),divergence:this.vectors[r[1]][3],dataCoordinate:n}},b.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose()},e.exports=function(t,e){1===arguments.length&amp;&amp;(t=(e=t).gl);var r=e.triShader||function(t){var e=n(t,g.vertex,g.fragment,null,g.attributes);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.vector.location=5,e}(t),s=x(t),l=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));l.generateMipmap(),l.minFilter=t.LINEAR_MIPMAP_LINEAR,l.magFilter=t.LINEAR;var u=i(t),f=i(t),h=i(t),d=i(t),p=i(t),v=i(t),m=a(t,[{buffer:u,type:t.FLOAT,size:4},{buffer:v,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:h,type:t.FLOAT,size:4},{buffer:d,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:3},{buffer:f,type:t.FLOAT,size:4}]),b=i(t),_=i(t),w=i(t),A=i(t),M=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:A,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),T=i(t),k=i(t),E=i(t),L=i(t),S=i(t),C=a(t,[{buffer:T,type:t.FLOAT,size:3},{buffer:S,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:E,type:t.FLOAT,size:2},{buffer:L,type:t.FLOAT,size:1}]),O=i(t),R=new y(t,l,r,s,u,f,v,h,d,p,m,b,A,_,w,M,T,S,k,E,L,C,O,a(t,[{buffer:O,type:t.FLOAT,size:3}]));return R.update(e),R}},{&quot;./shaders&quot;:158,colormap:68,&quot;gl-buffer&quot;:103,&quot;gl-mat4/invert&quot;:124,&quot;gl-mat4/multiply&quot;:126,&quot;gl-shader&quot;:149,&quot;gl-texture2d&quot;:164,&quot;gl-vao&quot;:168,ndarray:286,normals:288,&quot;simplicial-complex-contour&quot;:330,&quot;typedarray-pool&quot;:348}],160:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;gl-vec3&quot;),i=t(&quot;gl-vec4&quot;),a=function(t,e,r,a){for(var o=0,s=0;s&lt;t.length;s++)for(var l=t[s].velocities,u=0;u&lt;l.length;u++){var c=n.length(l[u]);c&gt;o&amp;&amp;(o=c)}var f=t.map(function(t){return function(t,e,r,a){var o,s,l,u=t.points,c=t.velocities,f=t.divergences;n.set(n.create(),0,1,0),n.create(),n.create();n.create();for(var h=[],d=[],p=[],g=[],v=[],m=[],y=0,b=0,x=i.create(),_=i.create(),w=0;w&lt;u.length;w++){o=u[w],s=c[w],l=f[w],0===e&amp;&amp;(l=.05*r),b=n.length(s)/a,x=i.create(),n.copy(x,s),x[3]=l;for(var A=0;A&lt;8;A++)v[A]=[o[0],o[1],o[2],A];if(g.length&gt;0)for(A=0;A&lt;8;A++){var M=(A+1)%8;h.push(g[A],v[A],v[M],v[M],g[M],g[A]),p.push(_,x,x,x,_,_),m.push(y,b,b,b,y,y),d.push([h.length-6,h.length-5,h.length-4],[h.length-3,h.length-2,h.length-1])}var T=g;g=v,v=T,T=_,_=x,x=T,T=y,y=b,b=T}return{positions:h,cells:d,vectors:p,vertexIntensity:m}}(t,r,a,o)}),h=[],d=[],p=[],g=[];for(s=0;s&lt;f.length;s++){var v=f[s],m=h.length;h=h.concat(v.positions),p=p.concat(v.vectors),g=g.concat(v.vertexIntensity);for(u=0;u&lt;v.cells.length;u++){var y=v.cells[u],b=[];d.push(b);for(var x=0;x&lt;y.length;x++)b.push(y[x]+m)}}return{positions:h,cells:d,vectors:p,vertexIntensity:g,colormap:e}},o=function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=this.getVelocity(r);n.subtract(a,a,e),n.scale(a,a,1e4),n.add(r,t,[0,i,0]);var o=this.getVelocity(r);n.subtract(o,o,e),n.scale(o,o,1e4),n.add(r,t,[0,0,i]);var s=this.getVelocity(r);return n.subtract(s,s,e),n.scale(s,s,1e4),n.add(r,a,o),n.add(r,r,s),r},s=function(t){return h(t,this.vectors,this.meshgrid,this.clampBorders)},l=function(t,e){for(var r=0;r&lt;t.length;r++){var n=t[r];if(n===e)return r;if(n&gt;e)return r-1}return r},u=n.create(),c=n.create(),f=function(t,e,r){return t&lt;e?e:t&gt;r?r:t},h=function(t,e,r,i){var a=t[0],o=t[1],s=t[2],h=r[0].length,d=r[1].length,p=r[2].length,g=l(r[0],a),v=l(r[1],o),m=l(r[2],s),y=g+1,b=v+1,x=m+1;if(r[0][g]===a&amp;&amp;(y=g),r[1][v]===o&amp;&amp;(b=v),r[2][m]===s&amp;&amp;(x=m),i&amp;&amp;(g=f(g,0,h-1),y=f(y,0,h-1),v=f(v,0,d-1),b=f(b,0,d-1),m=f(m,0,p-1),x=f(x,0,p-1)),g&lt;0||v&lt;0||m&lt;0||y&gt;=h||b&gt;=d||x&gt;=p)return n.create();var _=(a-r[0][g])/(r[0][y]-r[0][g]),w=(o-r[1][v])/(r[1][b]-r[1][v]),A=(s-r[2][m])/(r[2][x]-r[2][m]);(_&lt;0||_&gt;1||isNaN(_))&amp;&amp;(_=0),(w&lt;0||w&gt;1||isNaN(w))&amp;&amp;(w=0),(A&lt;0||A&gt;1||isNaN(A))&amp;&amp;(A=0);var M=m*h*d,T=x*h*d,k=v*h,E=b*h,L=g,S=y,C=e[k+M+L],O=e[k+M+S],R=e[E+M+L],P=e[E+M+S],z=e[k+T+L],I=e[k+T+S],N=e[E+T+L],D=e[E+T+S],F=n.create();return n.lerp(F,C,O,_),n.lerp(u,R,P,_),n.lerp(F,F,u,w),n.lerp(u,z,I,_),n.lerp(c,N,D,_),n.lerp(u,u,c,w),n.lerp(F,F,u,A),F},d=function(t){var e=1/0;t.sort(function(t,e){return t-e});for(var r=1;r&lt;t.length;r++){var n=Math.abs(t[r]-t[r-1]);n&lt;e&amp;&amp;(e=n)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,l=t.tubeSize||1,u=t.absoluteTubeSize;t.getDivergence||(t.getDivergence=o),t.getVelocity||(t.getVelocity=s),void 0===t.clampBorders&amp;&amp;(t.clampBorders=!0);var c=[],f=e[0][0],h=e[0][1],p=e[0][2],g=e[1][0],v=e[1][1],m=e[1][2],y=function(t,e){var r=e[0],n=e[1],i=e[2];return r&gt;=f&amp;&amp;r&lt;=g&amp;&amp;n&gt;=h&amp;&amp;n&lt;=v&amp;&amp;i&gt;=p&amp;&amp;i&lt;=m},b=10*n.distance(e[0],e[1])/i,x=b*b,_=1,w=0;n.create();r.length&gt;=2&amp;&amp;(_=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=0;s&lt;t.length;s++){var l=t[s],u=l[0],c=l[1],f=l[2];i[u]||(e.push(u),i[u]=!0),a[c]||(r.push(c),a[c]=!0),o[f]||(n.push(f),o[f]=!0)}var h=d(e),p=d(r),g=d(n),v=Math.min(h,p,g);return isFinite(v)?v:1}(r));for(var A=0;A&lt;r.length;A++){var M=n.create();n.copy(M,r[A]);var T=[M],k=[],E=t.getVelocity(M),L=M;k.push(E);var S=[],C=t.getDivergence(M,E);(z=n.length(C))&gt;w&amp;&amp;!isNaN(z)&amp;&amp;isFinite(z)&amp;&amp;(w=z),S.push(z),c.push({points:T,velocities:k,divergences:S});for(var O=0;O&lt;100*i&amp;&amp;T.length&lt;i&amp;&amp;y(0,M);){O++;var R=n.clone(E),P=n.squaredLength(R);if(0===P)break;if(P&gt;x&amp;&amp;n.scale(R,R,b/Math.sqrt(P)),n.add(R,R,M),E=t.getVelocity(R),n.squaredDistance(L,R)-x&gt;-1e-4*x){T.push(R),L=R,k.push(E);C=t.getDivergence(R,E);(z=n.length(C))&gt;w&amp;&amp;!isNaN(z)&amp;&amp;isFinite(z)&amp;&amp;(w=z),S.push(z)}M=R}}for(A=0;A&lt;S.length;A++){var z=S[A];!isNaN(z)&amp;&amp;isFinite(z)||(S[A]=w)}var I=a(c,t.colormap,w,_);return u?I.tubeScale=u:(0===w&amp;&amp;(w=1),I.tubeScale=.5*l*_/w),I},e.exports.createTubeMesh=t(&quot;./lib/tubemesh&quot;)},{&quot;./lib/tubemesh&quot;:159,&quot;gl-vec3&quot;:187,&quot;gl-vec4&quot;:223}],161:[function(t,e,r){var n=t(&quot;gl-shader&quot;),i=t(&quot;glslify&quot;),a=i([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n&quot;]),o=i([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if ((kill &gt; 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n&quot;]),s=i([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don&#x27;t do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n&quot;]),l=i([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill &gt; 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n&quot;]);r.createShader=function(t){var e=n(t,a,o,null,[{name:&quot;uv&quot;,type:&quot;vec4&quot;},{name:&quot;f&quot;,type:&quot;vec3&quot;},{name:&quot;normal&quot;,type:&quot;vec3&quot;}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:&quot;uv&quot;,type:&quot;vec4&quot;},{name:&quot;f&quot;,type:&quot;vec3&quot;},{name:&quot;normal&quot;,type:&quot;vec3&quot;}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:&quot;uv&quot;,type:&quot;vec4&quot;},{name:&quot;f&quot;,type:&quot;float&quot;}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:&quot;uv&quot;,type:&quot;vec4&quot;},{name:&quot;f&quot;,type:&quot;float&quot;}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{&quot;gl-shader&quot;:149,glslify:250}],162:[function(t,e,r){arguments[4][54][0].apply(r,arguments)},{dup:54}],163:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t){var e=t.gl,r=y(e),n=x(e),s=b(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),d=i(e),p=a(e,[{buffer:d,size:2,type:e.FLOAT}]),g=o(e,1,E,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var v=new L(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,g,s,l,f,h,d,p,[0,0,0]),m={levels:[[],[],[]]};for(var A in t)m[A]=t[A];return m.colormap=m.colormap||&quot;jet&quot;,v.update(m),v};var n=t(&quot;bit-twiddle&quot;),i=t(&quot;gl-buffer&quot;),a=t(&quot;gl-vao&quot;),o=t(&quot;gl-texture2d&quot;),s=t(&quot;typedarray-pool&quot;),l=t(&quot;colormap&quot;),u=t(&quot;ndarray-ops&quot;),c=t(&quot;ndarray-pack&quot;),f=t(&quot;ndarray&quot;),h=t(&quot;surface-nets&quot;),d=t(&quot;gl-mat4/multiply&quot;),p=t(&quot;gl-mat4/invert&quot;),g=t(&quot;binary-search-bounds&quot;),v=t(&quot;ndarray-gradient&quot;),m=t(&quot;./lib/shaders&quot;),y=m.createShader,b=m.createContourShader,x=m.createPickShader,_=m.createPickContourShader,w=40,A=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],M=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],T=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function k(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t&lt;3;++t){var e=T[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var E=256;function L(t,e,r,n,i,a,o,l,u,c,h,d,p,g,v){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=v,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=d,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new k([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=p,this._dynamicVAO=g,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=L.prototype;S.isTransparent=function(){return this.opacity&lt;1},S.isOpaque=function(){if(this.opacity&gt;=1)return!0;for(var t=0;t&lt;3;++t)if(this._contourCounts[t].length&gt;0||this._dynamicCounts[t]&gt;0)return!0;return!1},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var C=[0,0,0],O={showSurface:!1,showContour:!1,projections:[A.slice(),A.slice(),A.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function R(t,e){var r,n,i,a=e.axes&amp;&amp;e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r&lt;3;++r)for(o=o||e.surfaceProject[r],n=0;n&lt;3;++n)s=s||e.contourProject[r][n];for(r=0;r&lt;3;++r){var l=O.projections[r];for(n=0;n&lt;16;++n)l[n]=0;for(n=0;n&lt;4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]&gt;0)][r],d(l,t.model,l);var u=O.clipBounds[r];for(i=0;i&lt;2;++i)for(n=0;n&lt;3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return O.showSurface=o,O.showContour=s,O}var P={model:A,view:A,projection:A,inverseModel:A.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},z=A.slice(),I=[1,0,0,0,1,0,0,0,1];function N(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||A,n.view=t.view||A,n.projection=t.projection||A,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=p(n.inverseModel,n.model);for(var i=0;i&lt;2;++i)for(var a=n.clipBounds[i],o=0;o&lt;3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=I,n.vertexColor=this.vertexColor;var s=z;for(d(s,n.view,n.model),d(s,n.projection,s),p(s,s),i=0;i&lt;3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i&lt;3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i&lt;3;++i){var u=s[12+i];for(o=0;o&lt;3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=R(n,this);if(c.showSurface&amp;&amp;e===this.opacity&lt;1){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&amp;&amp;this._vertexCount&amp;&amp;this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i&lt;3;++i)this.surfaceProject[i]&amp;&amp;this.vertexCount&amp;&amp;(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour&amp;&amp;!e){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i&lt;3;++i)for(f.uniforms.permutation=T[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o&lt;this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&amp;&amp;o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&amp;&amp;(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i&lt;3;++i)for(f.uniforms.model=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o&lt;3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=T[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var g=0;g&lt;this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==g&amp;&amp;g-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&amp;&amp;(f.uniforms.height=this.contourLevels[o][g],h.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i&lt;3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=T[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o&lt;3;++o)this.contourProject[o][i]&amp;&amp;(f.uniforms.model=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return N.call(this,t,!1)},S.drawTransparent=function(t){return N.call(this,t,!0)};var D={model:A,view:A,projection:A,inverseModel:A,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function F(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function j(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[j(t[0]),j(t[1]),j(t[2])];var e=j(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||A,r.view=t.view||A,r.projection=t.projection||A,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=I;for(var n=0;n&lt;2;++n)for(var i=r.clipBounds[n],a=0;a&lt;3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=R(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n&lt;3;++n)this.surfaceProject[n]&amp;&amp;(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a&lt;3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=T[a],n=0;n&lt;this.contourLevels[a].length;++n)this._contourCounts[a][n]&amp;&amp;(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n&lt;3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a&lt;3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=T[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var u=0;u&lt;this.contourLevels[a].length;++u)this._contourCounts[a][u]&amp;&amp;(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]&gt;&gt;4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&amp;t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c&lt;2;++c)for(var f=c?a:1-a,h=0;h&lt;2;++h)for(var d=i+c,p=s+h,v=f*(h?l:1-l),m=0;m&lt;3;++m)u[m]+=this._field[m].get(d,p)*v;for(var y=this._pickResult.level,b=0;b&lt;3;++b)if(y[b]=g.le(this.contourLevels[b],u[b]),y[b]&lt;0)this.contourLevels[b].length&gt;0&amp;&amp;(y[b]=0);else if(y[b]&lt;this.contourLevels[b].length-1){var x=this.contourLevels[b][y[b]],_=this.contourLevels[b][y[b]+1];Math.abs(x-u[b])&gt;Math.abs(_-u[b])&amp;&amp;(y[b]+=1)}for(r.index[0]=a&lt;.5?i:i+1,r.index[1]=l&lt;.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],m=0;m&lt;3;++m)r.dataCoordinate[m]=this._field[m].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,&quot;contourWidth&quot;in t&amp;&amp;(this.contourWidth=F(t.contourWidth,Number)),&quot;showContour&quot;in t&amp;&amp;(this.showContour=F(t.showContour,Boolean)),&quot;showSurface&quot;in t&amp;&amp;(this.showSurface=!!t.showSurface),&quot;contourTint&quot;in t&amp;&amp;(this.contourTint=F(t.contourTint,Boolean)),&quot;contourColor&quot;in t&amp;&amp;(this.contourColor=B(t.contourColor)),&quot;contourProject&quot;in t&amp;&amp;(this.contourProject=F(t.contourProject,function(t){return F(t,Boolean)})),&quot;surfaceProject&quot;in t&amp;&amp;(this.surfaceProject=t.surfaceProject),&quot;dynamicColor&quot;in t&amp;&amp;(this.dynamicColor=B(t.dynamicColor)),&quot;dynamicTint&quot;in t&amp;&amp;(this.dynamicTint=F(t.dynamicTint,Number)),&quot;dynamicWidth&quot;in t&amp;&amp;(this.dynamicWidth=F(t.dynamicWidth,Number)),&quot;opacity&quot;in t&amp;&amp;(this.opacity=t.opacity),&quot;colorBounds&quot;in t&amp;&amp;(this.colorBounds=t.colorBounds),&quot;vertexColor&quot;in t&amp;&amp;(this.vertexColor=t.vertexColor?1:0);var e=t.field||t.coords&amp;&amp;t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),&quot;field&quot;in t||&quot;coords&quot;in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i&gt;this._field[2].data.length&amp;&amp;(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o&lt;2;++o)this._field[2].size&gt;this._field[o].data.length&amp;&amp;(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var d=t.coords;if(!Array.isArray(d)||3!==d.length)throw new Error(&quot;gl-surface: invalid coordinates for x/y&quot;);for(o=0;o&lt;2;++o){var p=d[o];for(x=0;x&lt;2;++x)if(p.shape[x]!==a[x])throw new Error(&quot;gl-surface: coords have incorrect shape&quot;);this.padField(this._field[o],p)}}else if(t.ticks){var g=t.ticks;if(!Array.isArray(g)||2!==g.length)throw new Error(&quot;gl-surface: invalid ticks&quot;);for(o=0;o&lt;2;++o){var m=g[o];if((Array.isArray(m)||m.length)&amp;&amp;(m=f(m)),m.shape[0]!==a[o])throw new Error(&quot;gl-surface: invalid tick length&quot;);var y=f(m.data,a);y.stride[o]=m.stride[0],y.stride[1^o]=0,this.padField(this._field[o],y)}}else{for(o=0;o&lt;2;++o){var b=[0,0];b[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],b,0)}this._field[0].set(0,0,0);for(var x=0;x&lt;a[0];++x)this._field[0].set(x+1,0,x);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),x=0;x&lt;a[1];++x)this._field[1].set(0,x+1,x);this._field[1].set(0,a[1]+1,a[1]-1)}var _=this._field,w=f(s.mallocFloat(3*_[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o&lt;3;++o)v(w.pick(o),_[o],&quot;mirror&quot;);var A=f(s.mallocFloat(3*_[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o&lt;a[0]+2;++o)for(x=0;x&lt;a[1]+2;++x){var T=w.get(0,o,x,0),k=w.get(0,o,x,1),L=w.get(1,o,x,0),S=w.get(1,o,x,1),C=w.get(2,o,x,0),O=w.get(2,o,x,1),R=L*O-S*C,P=C*k-O*T,z=T*S-k*L,I=Math.sqrt(R*R+P*P+z*z);I&lt;1e-8?(I=Math.max(Math.abs(R),Math.abs(P),Math.abs(z)))&lt;1e-8?(z=1,P=R=0,I=1):I=1/I:I=1/Math.sqrt(I),A.set(o,x,0,R*I),A.set(o,x,1,P*I),A.set(o,x,2,z*I)}s.free(w.data);var N=[1/0,1/0,1/0],D=[-1/0,-1/0,-1/0],j=1/0,U=-1/0,V=(a[0]-1)*(a[1]-1)*6,H=s.mallocFloat(n.nextPow2(10*V)),q=0,G=0;for(o=0;o&lt;a[0]-1;++o)t:for(x=0;x&lt;a[1]-1;++x){for(var X=0;X&lt;2;++X)for(var W=0;W&lt;2;++W)for(var Y=0;Y&lt;3;++Y){var Z=this._field[Y].get(1+o+X,1+x+W);if(isNaN(Z)||!isFinite(Z))continue t}for(Y=0;Y&lt;6;++Y){var Q=o+M[Y][0],$=x+M[Y][1],J=this._field[0].get(Q+1,$+1),K=this._field[1].get(Q+1,$+1);Z=this._field[2].get(Q+1,$+1),R=A.get(Q+1,$+1,0),P=A.get(Q+1,$+1,1),z=A.get(Q+1,$+1,2),t.intensity&amp;&amp;(tt=t.intensity.get(Q,$));var tt=t.intensity?t.intensity.get(Q,$):Z+this.objectOffset[2];H[q++]=Q,H[q++]=$,H[q++]=J,H[q++]=K,H[q++]=Z,H[q++]=0,H[q++]=tt,H[q++]=R,H[q++]=P,H[q++]=z,N[0]=Math.min(N[0],J+this.objectOffset[0]),N[1]=Math.min(N[1],K+this.objectOffset[1]),N[2]=Math.min(N[2],Z+this.objectOffset[2]),j=Math.min(j,tt),D[0]=Math.max(D[0],J+this.objectOffset[0]),D[1]=Math.max(D[1],K+this.objectOffset[1]),D[2]=Math.max(D[2],Z+this.objectOffset[2]),U=Math.max(U,tt),G+=1}}for(t.intensityBounds&amp;&amp;(j=+t.intensityBounds[0],U=+t.intensityBounds[1]),o=6;o&lt;q;o+=10)H[o]=(H[o]-j)/(U-j);this._vertexCount=G,this._coordinateBuffer.update(H.subarray(0,q)),s.freeFloat(H),s.free(A.data),this.bounds=[N,D],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===j&amp;&amp;this.intensityBounds[1]===U||(r=!0),this.intensityBounds=[j,U]}if(&quot;levels&quot;in t){var et=t.levels;for(et=Array.isArray(et[0])?et.slice():[[],[],et],o=0;o&lt;3;++o)et[o]=et[o].slice(),et[o].sort(function(t,e){return t-e});for(o=0;o&lt;3;++o)for(x=0;x&lt;et[o].length;++x)et[o][x]-=this.objectOffset[o];t:for(o=0;o&lt;3;++o){if(et[o].length!==this.contourLevels[o].length){r=!0;break}for(x=0;x&lt;et[o].length;++x)if(et[o][x]!==this.contourLevels[o][x]){r=!0;break t}}this.contourLevels=et}if(r){_=this._field,a=this.shape;for(var rt=[],nt=0;nt&lt;3;++nt){var it=this.contourLevels[nt],at=[],ot=[],st=[0,0,0];for(o=0;o&lt;it.length;++o){var lt=h(this._field[nt],it[o]);at.push(rt.length/5|0),G=0;t:for(x=0;x&lt;lt.cells.length;++x){var ut=lt.cells[x];for(Y=0;Y&lt;2;++Y){var ct=lt.positions[ut[Y]],ft=ct[0],ht=0|Math.floor(ft),dt=ft-ht,pt=ct[1],gt=0|Math.floor(pt),vt=pt-gt,mt=!1;e:for(var yt=0;yt&lt;3;++yt){st[yt]=0;var bt=(nt+yt+1)%3;for(X=0;X&lt;2;++X){var xt=X?dt:1-dt;for(Q=0|Math.min(Math.max(ht+X,0),a[0]),W=0;W&lt;2;++W){var _t=W?vt:1-vt;if($=0|Math.min(Math.max(gt+W,0),a[1]),Z=yt&lt;2?this._field[bt].get(Q,$):(this.intensity.get(Q,$)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(Z)||isNaN(Z)){mt=!0;break e}var wt=xt*_t;st[yt]+=wt*Z}}}if(mt){if(Y&gt;0){for(var At=0;At&lt;5;++At)rt.pop();G-=1}continue t}rt.push(st[0],st[1],ct[0],ct[1],st[2]),G+=1}}ot.push(G)}this._contourOffsets[nt]=at,this._contourCounts[nt]=ot}var Mt=s.mallocFloat(rt.length);for(o=0;o&lt;rt.length;++o)Mt[o]=rt[o];this._contourBuffer.update(Mt),s.freeFloat(Mt)}t.colormap&amp;&amp;this._colorMap.setPixels(function(t){var e=c([l({colormap:t,nshades:E,format:&quot;rgba&quot;}).map(function(t){return[t[0],t[1],t[2],255*t[3]]})]);return u.divseq(e,255),e}(t.colormap))},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t&lt;3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e&lt;3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e&lt;3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&amp;&amp;r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&amp;&amp;r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&amp;&amp;r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o&lt;3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],d=this._field[u],p=h(c,r[o]),g=p.cells,v=p.positions;for(this._dynamicOffsets[o]=n,e=0;e&lt;g.length;++e)for(var m=g[e],y=0;y&lt;2;++y){var b=v[m[y]],x=+b[0],_=0|x,w=0|Math.min(_+1,i[0]),A=x-_,M=1-A,T=+b[1],k=0|T,E=0|Math.min(k+1,i[1]),L=T-k,S=1-L,C=M*S,O=M*L,R=A*S,P=A*L,z=C*f.get(_,k)+O*f.get(_,E)+R*f.get(w,k)+P*f.get(w,E),I=C*d.get(_,k)+O*d.get(_,E)+R*d.get(w,k)+P*d.get(w,E);if(isNaN(z)||isNaN(I)){y&amp;&amp;(n-=1);break}a[2*n+0]=z,a[2*n+1]=I,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},{&quot;./lib/shaders&quot;:161,&quot;binary-search-bounds&quot;:162,&quot;bit-twiddle&quot;:36,colormap:68,&quot;gl-buffer&quot;:103,&quot;gl-mat4/invert&quot;:124,&quot;gl-mat4/multiply&quot;:126,&quot;gl-texture2d&quot;:164,&quot;gl-vao&quot;:168,ndarray:286,&quot;ndarray-gradient&quot;:277,&quot;ndarray-ops&quot;:280,&quot;ndarray-pack&quot;:281,&quot;surface-nets&quot;:341,&quot;typedarray-pool&quot;:348}],164:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;ndarray&quot;),i=t(&quot;ndarray-ops&quot;),a=t(&quot;typedarray-pool&quot;);e.exports=function(t){if(arguments.length&lt;=1)throw new Error(&quot;gl-texture2d: Missing arguments for texture2d constructor&quot;);o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t);if(&quot;number&quot;==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(&quot;object&quot;==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new h(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&amp;&amp;e.data&amp;&amp;e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]&lt;0||o[0]&gt;s||o[1]&lt;0||o[1]&gt;s)throw new Error(&quot;gl-texture2d: Invalid texture size&quot;);var l=p(o,e.stride.slice()),u=0;&quot;float32&quot;===r?u=t.FLOAT:&quot;float64&quot;===r?(u=t.FLOAT,l=!1,r=&quot;float32&quot;):&quot;uint8&quot;===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r=&quot;uint8&quot;);var f,d,v=0;if(2===o.length)v=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(&quot;gl-texture2d: Invalid shape for texture&quot;);if(1===o[2])v=t.ALPHA;else if(2===o[2])v=t.LUMINANCE_ALPHA;else if(3===o[2])v=t.RGB;else{if(4!==o[2])throw new Error(&quot;gl-texture2d: Invalid shape for pixel coords&quot;);v=t.RGBA}}u!==t.FLOAT||t.getExtension(&quot;OES_texture_float&quot;)||(u=t.UNSIGNED_BYTE,l=!1);var m=e.size;if(l)f=0===e.offset&amp;&amp;e.data.length===m?e.data:e.data.subarray(e.offset,e.offset+m);else{var y=[o[2],o[2]*o[0],1];d=a.malloc(m,r);var b=n(d,o,y,0);&quot;float32&quot;!==r&amp;&amp;&quot;float64&quot;!==r||u!==t.UNSIGNED_BYTE?i.assign(b,e):c(b,e),f=d.subarray(0,m)}var x=g(t);t.texImage2D(t.TEXTURE_2D,0,v,o[0],o[1],0,v,u,f),l||a.free(d);return new h(t,x,o[0],o[1],v,u)}(t,e)}throw new Error(&quot;gl-texture2d: Invalid arguments for texture2d constructor&quot;)};var o=null,s=null,l=null;function u(t){return&quot;undefined&quot;!=typeof HTMLCanvasElement&amp;&amp;t instanceof HTMLCanvasElement||&quot;undefined&quot;!=typeof HTMLImageElement&amp;&amp;t instanceof HTMLImageElement||&quot;undefined&quot;!=typeof HTMLVideoElement&amp;&amp;t instanceof HTMLVideoElement||&quot;undefined&quot;!=typeof ImageData&amp;&amp;t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e&lt;0||e&gt;i||r&lt;0||r&gt;i)throw new Error(&quot;gl-texture2d: Invalid texture size&quot;);return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=h.prototype;function p(t,e){return 3===t.length?1===e[2]&amp;&amp;e[1]===t[0]*t[2]&amp;&amp;e[0]===t[2]:1===e[0]&amp;&amp;e[1]===t[0]}function g(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e&lt;0||e&gt;a||r&lt;0||r&gt;a)throw new Error(&quot;gl-texture2d: Invalid texture shape&quot;);if(i===t.FLOAT&amp;&amp;!t.getExtension(&quot;OES_texture_float&quot;))throw new Error(&quot;gl-texture2d: Floating point textures not supported on this platform&quot;);var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&amp;&amp;o.indexOf(t)&gt;=0&amp;&amp;(e.getExtension(&quot;OES_texture_float_linear&quot;)||(t=e.NEAREST)),s.indexOf(t)&lt;0)throw new Error(&quot;gl-texture2d: Unknown filter mode &quot;+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&amp;&amp;o.indexOf(t)&gt;=0&amp;&amp;(e.getExtension(&quot;OES_texture_float_linear&quot;)||(t=e.NEAREST)),s.indexOf(t)&lt;0)throw new Error(&quot;gl-texture2d: Unknown filter mode &quot;+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(&quot;EXT_texture_filter_anisotropic&quot;);r&amp;&amp;this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)&lt;0)throw new Error(&quot;gl-texture2d: Unknown wrap mode &quot;+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)&lt;0)throw new Error(&quot;gl-texture2d: Unknown wrap mode &quot;+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(&quot;gl-texture2d: Must specify wrap mode for rows and columns&quot;);for(var e=0;e&lt;2;++e)if(l.indexOf(t[e])&lt;0)throw new Error(&quot;gl-texture2d: Unknown wrap mode &quot;+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(&quot;gl-texture2d: Invalid texture shape&quot;)}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),d.bind=function(t){var e=this.gl;return void 0!==t&amp;&amp;e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},d.dispose=function(){this.gl.deleteTexture(this.handle)},d.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t&gt;0;++e,t&gt;&gt;&gt;=1)this._mipLevels.indexOf(e)&lt;0&amp;&amp;this._mipLevels.push(e)},d.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l){this._mipLevels.indexOf(o)&lt;0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l)}else{if(!(t.shape&amp;&amp;t.stride&amp;&amp;t.data))throw new Error(&quot;gl-texture2d: Unsupported data type&quot;);if(t.shape.length&lt;2||e+t.shape[1]&gt;this._shape[1]&gt;&gt;&gt;o||r+t.shape[0]&gt;this._shape[0]&gt;&gt;&gt;o||e&lt;0||r&lt;0)throw new Error(&quot;gl-texture2d: Texture dimensions are out of bounds&quot;);!function(t,e,r,o,s,l,u,f){var h=f.dtype,d=f.shape.slice();if(d.length&lt;2||d.length&gt;3)throw new Error(&quot;gl-texture2d: Invalid ndarray, must be 2d or 3d&quot;);var g=0,v=0,m=p(d,f.stride.slice());&quot;float32&quot;===h?g=t.FLOAT:&quot;float64&quot;===h?(g=t.FLOAT,m=!1,h=&quot;float32&quot;):&quot;uint8&quot;===h?g=t.UNSIGNED_BYTE:(g=t.UNSIGNED_BYTE,m=!1,h=&quot;uint8&quot;);if(2===d.length)v=t.LUMINANCE,d=[d[0],d[1],1],f=n(f.data,d,[f.stride[0],f.stride[1],1],f.offset);else{if(3!==d.length)throw new Error(&quot;gl-texture2d: Invalid shape for texture&quot;);if(1===d[2])v=t.ALPHA;else if(2===d[2])v=t.LUMINANCE_ALPHA;else if(3===d[2])v=t.RGB;else{if(4!==d[2])throw new Error(&quot;gl-texture2d: Invalid shape for pixel coords&quot;);v=t.RGBA}d[2]}v!==t.LUMINANCE&amp;&amp;v!==t.ALPHA||s!==t.LUMINANCE&amp;&amp;s!==t.ALPHA||(v=s);if(v!==s)throw new Error(&quot;gl-texture2d: Incompatible texture format for setPixels&quot;);var y=f.size,b=u.indexOf(o)&lt;0;b&amp;&amp;u.push(o);if(g===l&amp;&amp;m)0===f.offset&amp;&amp;f.data.length===y?b?t.texImage2D(t.TEXTURE_2D,o,s,d[0],d[1],0,s,l,f.data):t.texSubImage2D(t.TEXTURE_2D,o,e,r,d[0],d[1],s,l,f.data):b?t.texImage2D(t.TEXTURE_2D,o,s,d[0],d[1],0,s,l,f.data.subarray(f.offset,f.offset+y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,d[0],d[1],s,l,f.data.subarray(f.offset,f.offset+y));else{var x;x=l===t.FLOAT?a.mallocFloat32(y):a.mallocUint8(y);var _=n(x,d,[d[2],d[2]*d[0],1]);g===t.FLOAT&amp;&amp;l===t.UNSIGNED_BYTE?c(_,f):i.assign(_,f),b?t.texImage2D(t.TEXTURE_2D,o,s,d[0],d[1],0,s,l,x.subarray(0,y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,d[0],d[1],s,l,x.subarray(0,y)),l===t.FLOAT?a.freeFloat32(x):a.freeUint8(x)}}(s,e,r,o,this.format,this.type,this._mipLevels,t)}}},{ndarray:286,&quot;ndarray-ops&quot;:280,&quot;typedarray-pool&quot;:348}],165:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e,r){e?e.bind():t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null);var n=0|t.getParameter(t.MAX_VERTEX_ATTRIBS);if(r){if(r.length&gt;n)throw new Error(&quot;gl-vao: Too many vertex attributes&quot;);for(var i=0;i&lt;r.length;++i){var a=r[i];if(a.buffer){var o=a.buffer,s=a.size||4,l=a.type||t.FLOAT,u=!!a.normalized,c=a.stride||0,f=a.offset||0;o.bind(),t.enableVertexAttribArray(i),t.vertexAttribPointer(i,s,l,u,c,f)}else{if(&quot;number&quot;==typeof a)t.vertexAttrib1f(i,a);else if(1===a.length)t.vertexAttrib1f(i,a[0]);else if(2===a.length)t.vertexAttrib2f(i,a[0],a[1]);else if(3===a.length)t.vertexAttrib3f(i,a[0],a[1],a[2]);else{if(4!==a.length)throw new Error(&quot;gl-vao: Invalid vertex attribute&quot;);t.vertexAttrib4f(i,a[0],a[1],a[2],a[3])}t.disableVertexAttribArray(i)}}for(;i&lt;n;++i)t.disableVertexAttribArray(i)}else for(t.bindBuffer(t.ARRAY_BUFFER,null),i=0;i&lt;n;++i)t.disableVertexAttribArray(i)}},{}],166:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./do-bind.js&quot;);function i(t){this.gl=t,this._elements=null,this._attributes=null,this._elementsType=t.UNSIGNED_SHORT}i.prototype.bind=function(){n(this.gl,this._elements,this._attributes)},i.prototype.update=function(t,e,r){this._elements=e,this._attributes=t,this._elementsType=r||this.gl.UNSIGNED_SHORT},i.prototype.dispose=function(){},i.prototype.unbind=function(){},i.prototype.draw=function(t,e,r){r=r||0;var n=this.gl;this._elements?n.drawElements(t,e,this._elementsType,r):n.drawArrays(t,r,e)},e.exports=function(t){return new i(t)}},{&quot;./do-bind.js&quot;:165}],167:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./do-bind.js&quot;);function i(t,e,r,n,i,a){this.location=t,this.dimension=e,this.a=r,this.b=n,this.c=i,this.d=a}function a(t,e,r){this.gl=t,this._ext=e,this.handle=r,this._attribs=[],this._useElements=!1,this._elementsType=t.UNSIGNED_SHORT}i.prototype.bind=function(t){switch(this.dimension){case 1:t.vertexAttrib1f(this.location,this.a);break;case 2:t.vertexAttrib2f(this.location,this.a,this.b);break;case 3:t.vertexAttrib3f(this.location,this.a,this.b,this.c);break;case 4:t.vertexAttrib4f(this.location,this.a,this.b,this.c,this.d)}},a.prototype.bind=function(){this._ext.bindVertexArrayOES(this.handle);for(var t=0;t&lt;this._attribs.length;++t)this._attribs[t].bind(this.gl)},a.prototype.unbind=function(){this._ext.bindVertexArrayOES(null)},a.prototype.dispose=function(){this._ext.deleteVertexArrayOES(this.handle)},a.prototype.update=function(t,e,r){if(this.bind(),n(this.gl,e,t),this.unbind(),this._attribs.length=0,t)for(var a=0;a&lt;t.length;++a){var o=t[a];&quot;number&quot;==typeof o?this._attribs.push(new i(a,1,o)):Array.isArray(o)&amp;&amp;this._attribs.push(new i(a,o.length,o[0],o[1],o[2],o[3]))}this._useElements=!!e,this._elementsType=r||this.gl.UNSIGNED_SHORT},a.prototype.draw=function(t,e,r){r=r||0;var n=this.gl;this._useElements?n.drawElements(t,e,this._elementsType,r):n.drawArrays(t,r,e)},e.exports=function(t,e){return new a(t,e,e.createVertexArrayOES())}},{&quot;./do-bind.js&quot;:165}],168:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./lib/vao-native.js&quot;),i=t(&quot;./lib/vao-emulated.js&quot;);function a(t){this.bindVertexArrayOES=t.bindVertexArray.bind(t),this.createVertexArrayOES=t.createVertexArray.bind(t),this.deleteVertexArrayOES=t.deleteVertexArray.bind(t)}e.exports=function(t,e,r,o){var s,l=t.createVertexArray?new a(t):t.getExtension(&quot;OES_vertex_array_object&quot;);return(s=l?n(t,l):i(t)).update(e,r,o),s}},{&quot;./lib/vao-emulated.js&quot;:166,&quot;./lib/vao-native.js&quot;:167}],169:[function(t,e,r){e.exports=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t}},{}],170:[function(t,e,r){e.exports=function(t,e){var r=n(t[0],t[1],t[2]),o=n(e[0],e[1],e[2]);i(r,r),i(o,o);var s=a(r,o);return s&gt;1?0:Math.acos(s)};var n=t(&quot;./fromValues&quot;),i=t(&quot;./normalize&quot;),a=t(&quot;./dot&quot;)},{&quot;./dot&quot;:180,&quot;./fromValues&quot;:186,&quot;./normalize&quot;:197}],171:[function(t,e,r){e.exports=function(t,e){return t[0]=Math.ceil(e[0]),t[1]=Math.ceil(e[1]),t[2]=Math.ceil(e[2]),t}},{}],172:[function(t,e,r){e.exports=function(t){var e=new Float32Array(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e}},{}],173:[function(t,e,r){e.exports=function(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}},{}],174:[function(t,e,r){e.exports=function(){var t=new Float32Array(3);return t[0]=0,t[1]=0,t[2]=0,t}},{}],175:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t}},{}],176:[function(t,e,r){e.exports=t(&quot;./distance&quot;)},{&quot;./distance&quot;:177}],177:[function(t,e,r){e.exports=function(t,e){var r=e[0]-t[0],n=e[1]-t[1],i=e[2]-t[2];return 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p=s.slice(),g=s.slice();e[l]&lt;0?(p[c]=&quot;s[&quot;+c+&quot;]-2&quot;,g[c]=&quot;0&quot;):(p[c]=&quot;s[&quot;+c+&quot;]-1&quot;,g[c]=&quot;1&quot;),0===i?n.push(&quot;if(s[&quot;,c,&quot;]&gt;2){dst.set(&quot;,s.join(),&quot;,&quot;,c,&quot;,0.5*(src.get(&quot;,p.join(),&quot;)-src.get(&quot;,g.join(),&quot;)))}else{dst.set(&quot;,s.join(),&quot;,&quot;,c,&quot;,0)};&quot;):n.push(&quot;if(s[&quot;,c,&quot;]&gt;2){diff(&quot;,f,&quot;,src.pick(&quot;,p.join(),&quot;)&quot;,u,&quot;,src.pick(&quot;,g.join(),&quot;)&quot;,u,&quot;);}else{zero(&quot;,f,&quot;);};&quot;);break;default:throw new Error(&quot;ndarray-gradient: Invalid boundary condition&quot;)}}i&gt;0&amp;&amp;n.push(&quot;};&quot;)}for(var s=0;s&lt;1&lt;&lt;r;++s){for(var f=[],h=0;h&lt;r;++h)s&amp;1&lt;&lt;h&amp;&amp;f.push(h+1);for(var d=0;d&lt;1&lt;&lt;f.length;++d){for(var p=f.slice(),h=0;h&lt;f.length;++h)d&amp;1&lt;&lt;h&amp;&amp;(p[h]=-p[h]);i(p)}}n.push(&quot;return dst;};return gradient&quot;);for(var g=[&quot;diff&quot;,&quot;zero&quot;],v=[l,u],s=1;s&lt;=r;++s)g.push(&quot;grad&quot;+s),v.push(c(s));g.push(n.join(&quot;&quot;));var m=Function.apply(void 0,g).apply(void 0,v);return a[e]=m,m}(r)(t,e)};var n=t(&quot;dup&quot;),i=t(&quot;cwise-compiler&quot;),a={},o={},s={body:&quot;&quot;,args:[],thisVars:[],localVars:[]},l=i({args:[&quot;array&quot;,&quot;array&quot;,&quot;array&quot;],pre:s,post:s,body:{args:[{name:&quot;out&quot;,lvalue:!0,rvalue:!1,count:1},{name:&quot;left&quot;,lvalue:!1,rvalue:!0,count:1},{name:&quot;right&quot;,lvalue:!1,rvalue:!0,count:1}],body:&quot;out=0.5*(left-right)&quot;,thisVars:[],localVars:[]},funcName:&quot;cdiff&quot;}),u=i({args:[&quot;array&quot;],pre:s,post:s,body:{args:[{name:&quot;out&quot;,lvalue:!0,rvalue:!1,count:1}],body:&quot;out=0&quot;,thisVars:[],localVars:[]},funcName:&quot;zero&quot;});function c(t){if(t in a)return a[t];for(var e=[],r=0;r&lt;t;++r)e.push(&quot;out&quot;,r,&quot;s=0.5*(inp&quot;,r,&quot;l-inp&quot;,r,&quot;r);&quot;);var o=[&quot;array&quot;],l=[&quot;junk&quot;];for(r=0;r&lt;t;++r){o.push(&quot;array&quot;),l.push(&quot;out&quot;+r+&quot;s&quot;);var u=n(t);u[r]=-1,o.push({array:0,offset:u.slice()}),u[r]=1,o.push({array:0,offset:u.slice()}),l.push(&quot;inp&quot;+r+&quot;l&quot;,&quot;inp&quot;+r+&quot;r&quot;)}return a[t]=i({args:o,pre:s,post:s,body:{body:e.join(&quot;&quot;),args:l.map(function(t){return{name:t,lvalue:0===t.indexOf(&quot;out&quot;),rvalue:0===t.indexOf(&quot;inp&quot;),count:&quot;junk&quot;!==t|0}}),thisVars:[],localVars:[]},funcName:&quot;fdTemplate&quot;+t})}},{&quot;cwise-compiler&quot;:77,dup:86}],278:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;ndarray-warp&quot;),i=t(&quot;gl-matrix-invert&quot;);e.exports=function(t,e,r){var a=e.dimension,o=i([],r);return n(t,e,function(t,e){for(var r=0;r&lt;a;++r){t[r]=o[(a+1)*a+r];for(var 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r=[&quot;&#x27;use strict&#x27;&quot;],n=[&quot;ndarrayInsertionSort&quot;,t.join(&quot;d&quot;),e].join(&quot;&quot;),i=[&quot;left&quot;,&quot;right&quot;,&quot;data&quot;,&quot;offset&quot;].concat(o(t.length)),s=a(e),l=[&quot;i,j,cptr,ptr=left*s0+offset&quot;];if(t.length&gt;1){for(var u=[],c=1;c&lt;t.length;++c)l.push(&quot;i&quot;+c),u.push(&quot;n&quot;+c);s?l.push(&quot;scratch=malloc(&quot;+u.join(&quot;*&quot;)+&quot;)&quot;):l.push(&quot;scratch=new Array(&quot;+u.join(&quot;*&quot;)+&quot;)&quot;),l.push(&quot;dptr&quot;,&quot;sptr&quot;,&quot;a&quot;,&quot;b&quot;)}else l.push(&quot;scratch&quot;);function f(t){return&quot;generic&quot;===e?[&quot;data.get(&quot;,t,&quot;)&quot;].join(&quot;&quot;):[&quot;data[&quot;,t,&quot;]&quot;].join(&quot;&quot;)}function h(t,r){return&quot;generic&quot;===e?[&quot;data.set(&quot;,t,&quot;,&quot;,r,&quot;)&quot;].join(&quot;&quot;):[&quot;data[&quot;,t,&quot;]=&quot;,r].join(&quot;&quot;)}if(r.push([&quot;function &quot;,n,&quot;(&quot;,i.join(&quot;,&quot;),&quot;){var &quot;,l.join(&quot;,&quot;)].join(&quot;&quot;),&quot;for(i=left+1;i&lt;=right;++i){&quot;,&quot;j=i;ptr+=s0&quot;,&quot;cptr=ptr&quot;),t.length&gt;1){for(r.push(&quot;dptr=0;sptr=ptr&quot;),c=t.length-1;c&gt;=0;--c)0!==(d=t[c])&amp;&amp;r.push([&quot;for(i&quot;,d,&quot;=0;i&quot;,d,&quot;&lt;n&quot;,d,&quot;;++i&quot;,d,&quot;){&quot;].join(&quot;&quot;));for(r.push(&quot;scratch[dptr++]=&quot;,f(&quot;sptr&quot;)),c=0;c&lt;t.length;++c)0!==(d=t[c])&amp;&amp;r.push(&quot;sptr+=d&quot;+d,&quot;}&quot;);for(r.push(&quot;__g:while(j--\\x3eleft){&quot;,&quot;dptr=0&quot;,&quot;sptr=cptr-s0&quot;),c=1;c&lt;t.length;++c)1===c&amp;&amp;r.push(&quot;__l:&quot;),r.push([&quot;for(i&quot;,c,&quot;=0;i&quot;,c,&quot;&lt;n&quot;,c,&quot;;++i&quot;,c,&quot;){&quot;].join(&quot;&quot;));for(r.push([&quot;a=&quot;,f(&quot;sptr&quot;),&quot;\\nb=scratch[dptr]\\nif(a&lt;b){break __g}\\nif(a&gt;b){break __l}&quot;].join(&quot;&quot;)),c=t.length-1;c&gt;=1;--c)r.push(&quot;sptr+=e&quot;+c,&quot;dptr+=f&quot;+c,&quot;}&quot;);for(r.push(&quot;dptr=cptr;sptr=cptr-s0&quot;),c=t.length-1;c&gt;=0;--c)0!==(d=t[c])&amp;&amp;r.push([&quot;for(i&quot;,d,&quot;=0;i&quot;,d,&quot;&lt;n&quot;,d,&quot;;++i&quot;,d,&quot;){&quot;].join(&quot;&quot;));for(r.push(h(&quot;dptr&quot;,f(&quot;sptr&quot;))),c=0;c&lt;t.length;++c)0!==(d=t[c])&amp;&amp;r.push([&quot;dptr+=d&quot;,d,&quot;;sptr+=d&quot;,d].join(&quot;&quot;),&quot;}&quot;);for(r.push(&quot;cptr-=s0\\n}&quot;),r.push(&quot;dptr=cptr;sptr=0&quot;),c=t.length-1;c&gt;=0;--c)0!==(d=t[c])&amp;&amp;r.push([&quot;for(i&quot;,d,&quot;=0;i&quot;,d,&quot;&lt;n&quot;,d,&quot;;++i&quot;,d,&quot;){&quot;].join(&quot;&quot;));for(r.push(h(&quot;dptr&quot;,&quot;scratch[sptr++]&quot;)),c=0;c&lt;t.length;++c){var d;0!==(d=t[c])&amp;&amp;r.push(&quot;dptr+=d&quot;+d,&quot;}&quot;)}}else r.push(&quot;scratch=&quot;+f(&quot;ptr&quot;),&quot;while((j--\\x3eleft)&amp;&amp;(&quot;+f(&quot;cptr-s0&quot;)+&quot;&gt;scratch)){&quot;,h(&quot;cptr&quot;,f(&quot;cptr-s0&quot;)),&quot;cptr-=s0&quot;,&quot;}&quot;,h(&quot;cptr&quot;,&quot;scratch&quot;));return r.push(&quot;}&quot;),t.length&gt;1&amp;&amp;s&amp;&amp;r.push(&quot;free(scratch)&quot;),r.push(&quot;} return &quot;+n),s?new Function(&quot;malloc&quot;,&quot;free&quot;,r.join(&quot;\\n&quot;))(s[0],s[1]):new Function(r.join(&quot;\\n&quot;))()}(t,e),y=function(t,e,r){var n=[&quot;&#x27;use strict&#x27;&quot;],s=[&quot;ndarrayQuickSort&quot;,t.join(&quot;d&quot;),e].join(&quot;&quot;),l=[&quot;left&quot;,&quot;right&quot;,&quot;data&quot;,&quot;offset&quot;].concat(o(t.length)),u=a(e),c=0;n.push([&quot;function &quot;,s,&quot;(&quot;,l.join(&quot;,&quot;),&quot;){&quot;].join(&quot;&quot;));var f=[&quot;sixth=((right-left+1)/6)|0&quot;,&quot;index1=left+sixth&quot;,&quot;index5=right-sixth&quot;,&quot;index3=(left+right)&gt;&gt;1&quot;,&quot;index2=index3-sixth&quot;,&quot;index4=index3+sixth&quot;,&quot;el1=index1&quot;,&quot;el2=index2&quot;,&quot;el3=index3&quot;,&quot;el4=index4&quot;,&quot;el5=index5&quot;,&quot;less=left+1&quot;,&quot;great=right-1&quot;,&quot;pivots_are_equal=true&quot;,&quot;tmp&quot;,&quot;tmp0&quot;,&quot;x&quot;,&quot;y&quot;,&quot;z&quot;,&quot;k&quot;,&quot;ptr0&quot;,&quot;ptr1&quot;,&quot;ptr2&quot;,&quot;comp_pivot1=0&quot;,&quot;comp_pivot2=0&quot;,&quot;comp=0&quot;];if(t.length&gt;1){for(var h=[],d=1;d&lt;t.length;++d)h.push(&quot;n&quot;+d),f.push(&quot;i&quot;+d);for(d=0;d&lt;8;++d)f.push(&quot;b_ptr&quot;+d);f.push(&quot;ptr3&quot;,&quot;ptr4&quot;,&quot;ptr5&quot;,&quot;ptr6&quot;,&quot;ptr7&quot;,&quot;pivot_ptr&quot;,&quot;ptr_shift&quot;,&quot;elementSize=&quot;+h.join(&quot;*&quot;)),u?f.push(&quot;pivot1=malloc(elementSize)&quot;,&quot;pivot2=malloc(elementSize)&quot;):f.push(&quot;pivot1=new Array(elementSize),pivot2=new Array(elementSize)&quot;)}else f.push(&quot;pivot1&quot;,&quot;pivot2&quot;);function p(t){return[&quot;(offset+&quot;,t,&quot;*s0)&quot;].join(&quot;&quot;)}function g(t){return&quot;generic&quot;===e?[&quot;data.get(&quot;,t,&quot;)&quot;].join(&quot;&quot;):[&quot;data[&quot;,t,&quot;]&quot;].join(&quot;&quot;)}function v(t,r){return&quot;generic&quot;===e?[&quot;data.set(&quot;,t,&quot;,&quot;,r,&quot;)&quot;].join(&quot;&quot;):[&quot;data[&quot;,t,&quot;]=&quot;,r].join(&quot;&quot;)}function m(e,r,i){if(1===e.length)n.push(&quot;ptr0=&quot;+p(e[0]));else for(var a=0;a&lt;e.length;++a)n.push([&quot;b_ptr&quot;,a,&quot;=s0*&quot;,e[a]].join(&quot;&quot;));for(r&amp;&amp;n.push(&quot;pivot_ptr=0&quot;),n.push(&quot;ptr_shift=offset&quot;),a=t.length-1;a&gt;=0;--a)0!==(o=t[a])&amp;&amp;n.push([&quot;for(i&quot;,o,&quot;=0;i&quot;,o,&quot;&lt;n&quot;,o,&quot;;++i&quot;,o,&quot;){&quot;].join(&quot;&quot;));if(e.length&gt;1)for(a=0;a&lt;e.length;++a)n.push([&quot;ptr&quot;,a,&quot;=b_ptr&quot;,a,&quot;+ptr_shift&quot;].join(&quot;&quot;));for(n.push(i),r&amp;&amp;n.push(&quot;++pivot_ptr&quot;),a=0;a&lt;t.length;++a){var o;0!==(o=t[a])&amp;&amp;(e.length&gt;1?n.push(&quot;ptr_shift+=d&quot;+o):n.push(&quot;ptr0+=d&quot;+o),n.push(&quot;}&quot;))}}function y(e,r,i,a){if(1===r.length)n.push(&quot;ptr0=&quot;+p(r[0]));else{for(var o=0;o&lt;r.length;++o)n.push([&quot;b_ptr&quot;,o,&quot;=s0*&quot;,r[o]].join(&quot;&quot;));n.push(&quot;ptr_shift=offset&quot;)}for(i&amp;&amp;n.push(&quot;pivot_ptr=0&quot;),e&amp;&amp;n.push(e+&quot;:&quot;),o=1;o&lt;t.length;++o)n.push([&quot;for(i&quot;,o,&quot;=0;i&quot;,o,&quot;&lt;n&quot;,o,&quot;;++i&quot;,o,&quot;){&quot;].join(&quot;&quot;));if(r.length&gt;1)for(o=0;o&lt;r.length;++o)n.push([&quot;ptr&quot;,o,&quot;=b_ptr&quot;,o,&quot;+ptr_shift&quot;].join(&quot;&quot;));for(n.push(a),o=t.length-1;o&gt;=1;--o)i&amp;&amp;n.push(&quot;pivot_ptr+=f&quot;+o),r.length&gt;1?n.push(&quot;ptr_shift+=e&quot;+o):n.push(&quot;ptr0+=e&quot;+o),n.push(&quot;}&quot;)}function b(){t.length&gt;1&amp;&amp;u&amp;&amp;n.push(&quot;free(pivot1)&quot;,&quot;free(pivot2)&quot;)}function x(e,r){var i=&quot;el&quot;+e,a=&quot;el&quot;+r;if(t.length&gt;1){var o=&quot;__l&quot;+ ++c;y(o,[i,a],!1,[&quot;comp=&quot;,g(&quot;ptr0&quot;),&quot;-&quot;,g(&quot;ptr1&quot;),&quot;\\n&quot;,&quot;if(comp&gt;0){tmp0=&quot;,i,&quot;;&quot;,i,&quot;=&quot;,a,&quot;;&quot;,a,&quot;=tmp0;break &quot;,o,&quot;}\\n&quot;,&quot;if(comp&lt;0){break &quot;,o,&quot;}&quot;].join(&quot;&quot;))}else n.push([&quot;if(&quot;,g(p(i)),&quot;&gt;&quot;,g(p(a)),&quot;){tmp0=&quot;,i,&quot;;&quot;,i,&quot;=&quot;,a,&quot;;&quot;,a,&quot;=tmp0}&quot;].join(&quot;&quot;))}function _(e,r){t.length&gt;1?m([e,r],!1,v(&quot;ptr0&quot;,g(&quot;ptr1&quot;))):n.push(v(p(e),g(p(r))))}function w(e,r,i){if(t.length&gt;1){var a=&quot;__l&quot;+ ++c;y(a,[r],!0,[e,&quot;=&quot;,g(&quot;ptr0&quot;),&quot;-pivot&quot;,i,&quot;[pivot_ptr]\\n&quot;,&quot;if(&quot;,e,&quot;!==0){break &quot;,a,&quot;}&quot;].join(&quot;&quot;))}else n.push([e,&quot;=&quot;,g(p(r)),&quot;-pivot&quot;,i].join(&quot;&quot;))}function A(e,r){t.length&gt;1?m([e,r],!1,[&quot;tmp=&quot;,g(&quot;ptr0&quot;),&quot;\\n&quot;,v(&quot;ptr0&quot;,g(&quot;ptr1&quot;)),&quot;\\n&quot;,v(&quot;ptr1&quot;,&quot;tmp&quot;)].join(&quot;&quot;)):n.push([&quot;ptr0=&quot;,p(e),&quot;\\n&quot;,&quot;ptr1=&quot;,p(r),&quot;\\n&quot;,&quot;tmp=&quot;,g(&quot;ptr0&quot;),&quot;\\n&quot;,v(&quot;ptr0&quot;,g(&quot;ptr1&quot;)),&quot;\\n&quot;,v(&quot;ptr1&quot;,&quot;tmp&quot;)].join(&quot;&quot;))}function M(e,r,i){t.length&gt;1?(m([e,r,i],!1,[&quot;tmp=&quot;,g(&quot;ptr0&quot;),&quot;\\n&quot;,v(&quot;ptr0&quot;,g(&quot;ptr1&quot;)),&quot;\\n&quot;,v(&quot;ptr1&quot;,g(&quot;ptr2&quot;)),&quot;\\n&quot;,v(&quot;ptr2&quot;,&quot;tmp&quot;)].join(&quot;&quot;)),n.push(&quot;++&quot;+r,&quot;--&quot;+i)):n.push([&quot;ptr0=&quot;,p(e),&quot;\\n&quot;,&quot;ptr1=&quot;,p(r),&quot;\\n&quot;,&quot;ptr2=&quot;,p(i),&quot;\\n&quot;,&quot;++&quot;,r,&quot;\\n&quot;,&quot;--&quot;,i,&quot;\\n&quot;,&quot;tmp=&quot;,g(&quot;ptr0&quot;),&quot;\\n&quot;,v(&quot;ptr0&quot;,g(&quot;ptr1&quot;)),&quot;\\n&quot;,v(&quot;ptr1&quot;,g(&quot;ptr2&quot;)),&quot;\\n&quot;,v(&quot;ptr2&quot;,&quot;tmp&quot;)].join(&quot;&quot;))}function T(t,e){A(t,e),n.push(&quot;--&quot;+e)}function k(e,r,i){t.length&gt;1?m([e,r],!0,[v(&quot;ptr0&quot;,g(&quot;ptr1&quot;)),&quot;\\n&quot;,v(&quot;ptr1&quot;,[&quot;pivot&quot;,i,&quot;[pivot_ptr]&quot;].join(&quot;&quot;))].join(&quot;&quot;)):n.push(v(p(e),g(p(r))),v(p(r),&quot;pivot&quot;+i))}function E(e,r){n.push([&quot;if((&quot;,r,&quot;-&quot;,e,&quot;)&lt;=&quot;,i,&quot;){\\n&quot;,&quot;insertionSort(&quot;,e,&quot;,&quot;,r,&quot;,data,offset,&quot;,o(t.length).join(&quot;,&quot;),&quot;)\\n&quot;,&quot;}else{\\n&quot;,s,&quot;(&quot;,e,&quot;,&quot;,r,&quot;,data,offset,&quot;,o(t.length).join(&quot;,&quot;),&quot;)\\n&quot;,&quot;}&quot;].join(&quot;&quot;))}function L(e,r,i){t.length&gt;1?(n.push([&quot;__l&quot;,++c,&quot;:while(true){&quot;].join(&quot;&quot;)),m([e],!0,[&quot;if(&quot;,g(&quot;ptr0&quot;),&quot;!==pivot&quot;,r,&quot;[pivot_ptr]){break __l&quot;,c,&quot;}&quot;].join(&quot;&quot;)),n.push(i,&quot;}&quot;)):n.push([&quot;while(&quot;,g(p(e)),&quot;===pivot&quot;,r,&quot;){&quot;,i,&quot;}&quot;].join(&quot;&quot;))}return n.push(&quot;var &quot;+f.join(&quot;,&quot;)),x(1,2),x(4,5),x(1,3),x(2,3),x(1,4),x(3,4),x(2,5),x(2,3),x(4,5),t.length&gt;1?m([&quot;el1&quot;,&quot;el2&quot;,&quot;el3&quot;,&quot;el4&quot;,&quot;el5&quot;,&quot;index1&quot;,&quot;index3&quot;,&quot;index5&quot;],!0,[&quot;pivot1[pivot_ptr]=&quot;,g(&quot;ptr1&quot;),&quot;\\n&quot;,&quot;pivot2[pivot_ptr]=&quot;,g(&quot;ptr3&quot;),&quot;\\n&quot;,&quot;pivots_are_equal=pivots_are_equal&amp;&amp;(pivot1[pivot_ptr]===pivot2[pivot_ptr])\\n&quot;,&quot;x=&quot;,g(&quot;ptr0&quot;),&quot;\\n&quot;,&quot;y=&quot;,g(&quot;ptr2&quot;),&quot;\\n&quot;,&quot;z=&quot;,g(&quot;ptr4&quot;),&quot;\\n&quot;,v(&quot;ptr5&quot;,&quot;x&quot;),&quot;\\n&quot;,v(&quot;ptr6&quot;,&quot;y&quot;),&quot;\\n&quot;,v(&quot;ptr7&quot;,&quot;z&quot;)].join(&quot;&quot;)):n.push([&quot;pivot1=&quot;,g(p(&quot;el2&quot;)),&quot;\\n&quot;,&quot;pivot2=&quot;,g(p(&quot;el4&quot;)),&quot;\\n&quot;,&quot;pivots_are_equal=pivot1===pivot2\\n&quot;,&quot;x=&quot;,g(p(&quot;el1&quot;)),&quot;\\n&quot;,&quot;y=&quot;,g(p(&quot;el3&quot;)),&quot;\\n&quot;,&quot;z=&quot;,g(p(&quot;el5&quot;)),&quot;\\n&quot;,v(p(&quot;index1&quot;),&quot;x&quot;),&quot;\\n&quot;,v(p(&quot;index3&quot;),&quot;y&quot;),&quot;\\n&quot;,v(p(&quot;index5&quot;),&quot;z&quot;)].join(&quot;&quot;)),_(&quot;index2&quot;,&quot;left&quot;),_(&quot;index4&quot;,&quot;right&quot;),n.push(&quot;if(pivots_are_equal){&quot;),n.push(&quot;for(k=less;k&lt;=great;++k){&quot;),w(&quot;comp&quot;,&quot;k&quot;,1),n.push(&quot;if(comp===0){continue}&quot;),n.push(&quot;if(comp&lt;0){&quot;),n.push(&quot;if(k!==less){&quot;),A(&quot;k&quot;,&quot;less&quot;),n.push(&quot;}&quot;),n.push(&quot;++less&quot;),n.push(&quot;}else{&quot;),n.push(&quot;while(true){&quot;),w(&quot;comp&quot;,&quot;great&quot;,1),n.push(&quot;if(comp&gt;0){&quot;),n.push(&quot;great--&quot;),n.push(&quot;}else 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i=t.distance;i&amp;&amp;i&gt;0&amp;&amp;this.radius.set(e,Math.log(i)),this.setDistanceLimits(t.zoomMin,t.zoomMax)}},{&quot;./lib/quatFromFrame&quot;:289,&quot;filtered-vector&quot;:91,&quot;gl-mat4/fromQuat&quot;:121,&quot;gl-mat4/invert&quot;:124,&quot;gl-mat4/lookAt&quot;:125}],291:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;repeat-string&quot;);e.exports=function(t,e,r){return n(r=&quot;undefined&quot;!=typeof r?r+&quot;&quot;:&quot; &quot;,e)+t}},{&quot;repeat-string&quot;:315}],292:[function(t,e,r){e.exports=function(t,e){e||(e=[0,&quot;&quot;]),t=String(t);var r=parseFloat(t,10);return e[0]=r,e[1]=t.match(/[\\d.\\-\\+]*\\s*(.*)/)[1]||&quot;&quot;,e}},{}],293:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t){var e=t.length;if(e&lt;n){for(var r=1,a=0;a&lt;e;++a)for(var o=0;o&lt;a;++o)if(t[a]&lt;t[o])r=-r;else if(t[a]===t[o])return 0;return r}for(var s=i.mallocUint8(e),a=0;a&lt;e;++a)s[a]=0;for(var r=1,a=0;a&lt;e;++a)if(!s[a]){var l=1;s[a]=1;for(var 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n=t(&quot;edges-to-adjacency-list&quot;),i=t(&quot;planar-dual&quot;),a=t(&quot;point-in-big-polygon&quot;),o=t(&quot;two-product&quot;),s=t(&quot;robust-sum&quot;),l=t(&quot;uniq&quot;),u=t(&quot;./lib/trim-leaves&quot;);function c(t,e){for(var r=new Array(t),n=0;n&lt;t;++n)r[n]=e;return r}},{&quot;./lib/trim-leaves&quot;:296,&quot;edges-to-adjacency-list&quot;:87,&quot;planar-dual&quot;:295,&quot;point-in-big-polygon&quot;:298,&quot;robust-sum&quot;:327,&quot;two-product&quot;:346,uniq:350}],298:[function(t,e,r){e.exports=function(t){for(var e=t.length,r=[],a=[],s=0;s&lt;e;++s)for(var c=t[s],f=c.length,h=f-1,d=0;d&lt;f;h=d++){var p=c[h],g=c[d];p[0]===g[0]?a.push([p,g]):r.push([p,g])}if(0===r.length)return 0===a.length?u:(v=l(a),function(t){return v(t[0],t[1])?0:1});var v;var m=i(r),y=function(t,e){return function(r){var i=o.le(e,r[0]);if(i&lt;0)return 1;var a=t[i];if(!a){if(!(i&gt;0&amp;&amp;e[i]===r[0]))return 1;a=t[i-1]}for(var s=1;a;){var 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n,i=t(&quot;./lib/build-log&quot;),a=t(&quot;./lib/epsilon&quot;),o=t(&quot;./lib/intersecter&quot;),s=t(&quot;./lib/segment-chainer&quot;),l=t(&quot;./lib/segment-selector&quot;),u=t(&quot;./lib/geojson&quot;),c=!1,f=a();function h(t,e,r){var i=n.segments(t),a=n.segments(e),o=r(n.combine(i,a));return n.polygon(o)}n={buildLog:function(t){return!0===t?c=i():!1===t&amp;&amp;(c=!1),!1!==c&amp;&amp;c.list},epsilon:function(t){return f.epsilon(t)},segments:function(t){var e=o(!0,f,c);return t.regions.forEach(e.addRegion),{segments:e.calculate(t.inverted),inverted:t.inverted}},combine:function(t,e){return{combined:o(!1,f,c).calculate(t.segments,t.inverted,e.segments,e.inverted),inverted1:t.inverted,inverted2:e.inverted}},selectUnion:function(t){return{segments:l.union(t.combined,c),inverted:t.inverted1||t.inverted2}},selectIntersect:function(t){return{segments:l.intersect(t.combined,c),inverted:t.inverted1&amp;&amp;t.inverted2}},selectDifference:function(t){return{segments:l.difference(t.combined,c),inverted:t.inverted1&amp;&amp;!t.inverted2}},selectDifferenceRev:function(t){return{segments:l.differenceRev(t.combined,c),inverted:!t.inverted1&amp;&amp;t.inverted2}},selectXor:function(t){return{segments:l.xor(t.combined,c),inverted:t.inverted1!==t.inverted2}},polygon:function(t){return{regions:s(t.segments,f,c),inverted:t.inverted}},polygonFromGeoJSON:function(t){return u.toPolygon(n,t)},polygonToGeoJSON:function(t){return u.fromPolygon(n,f,t)},union:function(t,e){return h(t,e,n.selectUnion)},intersect:function(t,e){return h(t,e,n.selectIntersect)},difference:function(t,e){return h(t,e,n.selectDifference)},differenceRev:function(t,e){return h(t,e,n.selectDifferenceRev)},xor:function(t,e){return h(t,e,n.selectXor)}},&quot;object&quot;==typeof window&amp;&amp;(window.PolyBool=n),e.exports=n},{&quot;./lib/build-log&quot;:300,&quot;./lib/epsilon&quot;:301,&quot;./lib/geojson&quot;:302,&quot;./lib/intersecter&quot;:303,&quot;./lib/segment-chainer&quot;:305,&quot;./lib/segment-selector&quot;:306}],300:[function(t,e,r){e.exports=function(){var t,e=0,r=!1;function n(e,r){return t.list.push({type:e,data:r?JSON.parse(JSON.stringify(r)):void 0}),t}return t={list:[],segmentId:function(){return e++},checkIntersection:function(t,e){return n(&quot;check&quot;,{seg1:t,seg2:e})},segmentChop:function(t,e){return n(&quot;div_seg&quot;,{seg:t,pt:e}),n(&quot;chop&quot;,{seg:t,pt:e})},statusRemove:function(t){return 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n(&quot;chain_rem_tail&quot;,{index:t,pt:e})},chainNew:function(t,e){return n(&quot;chain_new&quot;,{pt1:t,pt2:e})},chainMatch:function(t){return n(&quot;chain_match&quot;,{index:t})},chainClose:function(t){return n(&quot;chain_close&quot;,{index:t})},chainAddHead:function(t,e){return n(&quot;chain_add_head&quot;,{index:t,pt:e})},chainAddTail:function(t,e){return n(&quot;chain_add_tail&quot;,{index:t,pt:e})},chainConnect:function(t,e){return n(&quot;chain_con&quot;,{index1:t,index2:e})},chainReverse:function(t){return n(&quot;chain_rev&quot;,{index:t})},chainJoin:function(t,e){return n(&quot;chain_join&quot;,{index1:t,index2:e})},done:function(){return n(&quot;done&quot;)}}}},{}],301:[function(t,e,r){e.exports=function(t){&quot;number&quot;!=typeof t&amp;&amp;(t=1e-10);var e={epsilon:function(e){return&quot;number&quot;==typeof e&amp;&amp;(t=e),t},pointAboveOrOnLine:function(e,r,n){var 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u(t.region,!0)}for(s=0;s&lt;a.children.length;s++)f(a.children[s]);return c.length&lt;=0?{type:&quot;Polygon&quot;,coordinates:[]}:1==c.length?{type:&quot;Polygon&quot;,coordinates:c[0]}:{type:&quot;MultiPolygon&quot;,coordinates:c}}};e.exports=n},{}],303:[function(t,e,r){var n=t(&quot;./linked-list&quot;);e.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,function(n){return function(t,r,n,i,a,o){var s=e.pointsCompare(r,a);return 0!==s?s:e.pointsSame(n,o)?0:t!==i?t?1:-1:e.pointAboveOrOnLine(n,i?a:o,i?o:a)?1:-1}(t.isStart,t.pt,r,n.isStart,n.pt,n.other.pt)&lt;0})}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&amp;&amp;r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function u(i,o){var s=n.create();function u(t){return s.findTransition(function(r){var n,i,a,o,s,l;return n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,(e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)?1:e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)&gt;0})}function c(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,u=a.start,c=a.end;r&amp;&amp;r.checkIntersection(i,a);var f=e.linesIntersect(o,s,u,c);if(!1===f){if(!e.pointsCollinear(o,s,u))return!1;if(e.pointsSame(o,c)||e.pointsSame(s,u))return!1;var h=e.pointsSame(o,u),d=e.pointsSame(s,c);if(h&amp;&amp;d)return n;var p=!h&amp;&amp;e.pointBetween(o,u,c),g=!d&amp;&amp;e.pointBetween(s,u,c);if(h)return g?l(n,s):l(t,c),n;p&amp;&amp;(d||(g?l(n,s):l(t,c)),l(n,o))}else 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m,y,b=v();if(b)t?(y=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&amp;&amp;(b.seg.myFill.above=!b.seg.myFill.above):b.seg.otherFill=h.seg.myFill,r&amp;&amp;r.segmentUpdate(b.seg),h.other.remove(),h.remove();if(a.getHead()!==h){r&amp;&amp;r.rewind(h.seg);continue}t?(y=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=g?g.seg.myFill.above:i,h.seg.myFill.above=y?!h.seg.myFill.below:h.seg.myFill.below):null===h.seg.otherFill&amp;&amp;(m=g?h.primary===g.primary?g.seg.otherFill.above:g.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:m,below:m}),r&amp;&amp;r.status(h.seg,!!p&amp;&amp;p.seg,!!g&amp;&amp;g.seg),h.other.status=d.insert(n.node({ev:h}))}else{var x=h.status;if(null===x)throw new Error(&quot;PolyBool: Zero-length segment detected; your epsilon is probably too small or too 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C=L[1],O=L[5],R=L[9],P=L[2],z=L[6],I=L[10],N=O*I-R*z,D=R*P-C*I,F=C*z-O*P,j=u(N,D,F);N/=j,D/=j,F/=j,L[0]=N,L[4]=D,L[8]=F;for(a=0;a&lt;3;++a)E[a]=x[a]+L[2+4*a]*d;for(a=0;a&lt;3;++a){c=0;for(var B=0;B&lt;3;++B)c+=L[a+4*B]*E[B];L[12+a]=-c}L[15]=1},d.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n&lt;16;++n)e[n]=r[n];return e}return r};var p=[0,0,0];d.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;p[0]=i[2],p[1]=i[6],p[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,u=0;u&lt;3;++u)i[4*u]=o[u],i[4*u+1]=s[u],i[4*u+2]=l[u];a(i,i,n,p);for(u=0;u&lt;3;++u)o[u]=i[4*u],s[u]=i[4*u+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},d.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=u(a,o,s);a/=l,o/=l,s/=l;var 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L=e[1],S=e[5],C=e[9],O=L*b+S*x+C*_,R=L*M+S*T+C*k;m=N&lt;0?-Math.PI/2:Math.PI/2,y=Math.atan2(R,O)}else{var P=e[2],z=e[6],I=e[10],N=P*s+z*l+I*f,D=P*b+z*x+I*_,F=P*M+z*T+I*k;m=Math.asin(c(N)),y=Math.atan2(F,D)}this.angle.jump(t,y,m),this.recalcMatrix(t);var j=e[2],B=e[6],U=e[10],V=this.computedMatrix;i(V,e);var H=V[15],q=V[12]/H,G=V[13]/H,X=V[14]/H,W=Math.exp(this.computedRadius[0]);this.center.jump(t,q-j*W,G-B*W,X-U*W)},d.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},d.idle=function(t){this.center.idle(t),this.up.idle(t),this.right.idle(t),this.radius.idle(t),this.angle.idle(t)},d.flush=function(t){this.center.flush(t),this.up.flush(t),this.right.flush(t),this.radius.flush(t),this.angle.flush(t)},d.setDistance=function(t,e){e&gt;0&amp;&amp;this.radius.set(t,Math.log(e))},d.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||this.computedCenter;var 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n=t(&quot;./arrow_paths&quot;),i=t(&quot;../../plots/font_attributes&quot;),a=t(&quot;../../plots/cartesian/constants&quot;),o=t(&quot;../../plot_api/plot_template&quot;).templatedArray;e.exports=o(&quot;annotation&quot;,{visible:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;calc+arraydraw&quot;},text:{valType:&quot;string&quot;,editType:&quot;calc+arraydraw&quot;},textangle:{valType:&quot;angle&quot;,dflt:0,editType:&quot;calc+arraydraw&quot;},font:i({editType:&quot;calc+arraydraw&quot;,colorEditType:&quot;arraydraw&quot;}),width:{valType:&quot;number&quot;,min:1,dflt:null,editType:&quot;calc+arraydraw&quot;},height:{valType:&quot;number&quot;,min:1,dflt:null,editType:&quot;calc+arraydraw&quot;},opacity:{valType:&quot;number&quot;,min:0,max:1,dflt:1,editType:&quot;arraydraw&quot;},align:{valType:&quot;enumerated&quot;,values:[&quot;left&quot;,&quot;center&quot;,&quot;right&quot;],dflt:&quot;center&quot;,editType:&quot;arraydraw&quot;},valign:{valType:&quot;enumerated&quot;,values:[&quot;top&quot;,&quot;middle&quot;,&quot;bottom&quot;],dflt:&quot;middle&quot;,editType:&quot;arraydraw&quot;},bgcolor:{valType:&quot;color&quot;,dflt:&quot;rgba(0,0,0,0)&quot;,editType:&quot;arraydraw&quot;},bordercolor:{valType:&quot;color&quot;,dflt:&quot;rgba(0,0,0,0)&quot;,editType:&quot;arraydraw&quot;},borderpad:{valType:&quot;number&quot;,min:0,dflt:1,editType:&quot;calc+arraydraw&quot;},borderwidth:{valType:&quot;number&quot;,min:0,dflt:1,editType:&quot;calc+arraydraw&quot;},showarrow:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;calc+arraydraw&quot;},arrowcolor:{valType:&quot;color&quot;,editType:&quot;arraydraw&quot;},arrowhead:{valType:&quot;integer&quot;,min:0,max:n.length,dflt:1,editType:&quot;arraydraw&quot;},startarrowhead:{valType:&quot;integer&quot;,min:0,max:n.length,dflt:1,editType:&quot;arraydraw&quot;},arrowside:{valType:&quot;flaglist&quot;,flags:[&quot;end&quot;,&quot;start&quot;],extras:[&quot;none&quot;],dflt:&quot;end&quot;,editType:&quot;arraydraw&quot;},arrowsize:{valType:&quot;number&quot;,min:.3,dflt:1,editType:&quot;calc+arraydraw&quot;},startarrowsize:{valType:&quot;number&quot;,min:.3,dflt:1,editType:&quot;calc+arraydraw&quot;},arrowwidth:{valType:&quot;number&quot;,min:.1,editType:&quot;calc+arraydraw&quot;},standoff:{valType:&quot;number&quot;,min:0,dflt:0,editType:&quot;calc+arraydraw&quot;},startstandoff:{valType:&quot;number&quot;,min:0,dflt:0,editType:&quot;calc+arraydraw&quot;},ax:{valType:&quot;any&quot;,editType:&quot;calc+arraydraw&quot;},ay:{valType:&quot;any&quot;,editType:&quot;calc+arraydraw&quot;},axref:{valType:&quot;enumerated&quot;,dflt:&quot;pixel&quot;,values:[&quot;pixel&quot;,a.idRegex.x.toString()],editType:&quot;calc&quot;},ayref:{valType:&quot;enumerated&quot;,dflt:&quot;pixel&quot;,values:[&quot;pixel&quot;,a.idRegex.y.toString()],editType:&quot;calc&quot;},xref:{valType:&quot;enumerated&quot;,values:[&quot;paper&quot;,a.idRegex.x.toString()],editType:&quot;calc&quot;},x:{valType:&quot;any&quot;,editType:&quot;calc+arraydraw&quot;},xanchor:{valType:&quot;enumerated&quot;,values:[&quot;auto&quot;,&quot;left&quot;,&quot;center&quot;,&quot;right&quot;],dflt:&quot;auto&quot;,editType:&quot;calc+arraydraw&quot;},xshift:{valType:&quot;number&quot;,dflt:0,editType:&quot;calc+arraydraw&quot;},yref:{valType:&quot;enumerated&quot;,values:[&quot;paper&quot;,a.idRegex.y.toString()],editType:&quot;calc&quot;},y:{valType:&quot;any&quot;,editType:&quot;calc+arraydraw&quot;},yanchor:{valType:&quot;enumerated&quot;,values:[&quot;auto&quot;,&quot;top&quot;,&quot;middle&quot;,&quot;bottom&quot;],dflt:&quot;auto&quot;,editType:&quot;calc+arraydraw&quot;},yshift:{valType:&quot;number&quot;,dflt:0,editType:&quot;calc+arraydraw&quot;},clicktoshow:{valType:&quot;enumerated&quot;,values:[!1,&quot;onoff&quot;,&quot;onout&quot;],dflt:!1,editType:&quot;arraydraw&quot;},xclick:{valType:&quot;any&quot;,editType:&quot;arraydraw&quot;},yclick:{valType:&quot;any&quot;,editType:&quot;arraydraw&quot;},hovertext:{valType:&quot;string&quot;,editType:&quot;arraydraw&quot;},hoverlabel:{bgcolor:{valType:&quot;color&quot;,editType:&quot;arraydraw&quot;},bordercolor:{valType:&quot;color&quot;,editType:&quot;arraydraw&quot;},font:i({editType:&quot;arraydraw&quot;}),editType:&quot;arraydraw&quot;},captureevents:{valType:&quot;boolean&quot;,editType:&quot;arraydraw&quot;},editType:&quot;calc&quot;,_deprecated:{ref:{valType:&quot;string&quot;,editType:&quot;calc&quot;}}})},{&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/cartesian/constants&quot;:547,&quot;../../plots/font_attributes&quot;:567,&quot;./arrow_paths&quot;:360}],362:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../plots/cartesian/axes&quot;),a=t(&quot;./draw&quot;).draw;function o(t){var e=t._fullLayout;n.filterVisible(e.annotations).forEach(function(e){var r=i.getFromId(t,e.xref),n=i.getFromId(t,e.yref);e._extremes={},r&amp;&amp;s(e,r),n&amp;&amp;s(e,n)})}function s(t,e){var r,n=e._id,a=n.charAt(0),o=t[a],s=t[&quot;a&quot;+a],l=t[a+&quot;ref&quot;],u=t[&quot;a&quot;+a+&quot;ref&quot;],c=t[&quot;_&quot;+a+&quot;padplus&quot;],f=t[&quot;_&quot;+a+&quot;padminus&quot;],h={x:1,y:-1}[a]*t[a+&quot;shift&quot;],d=3*t.arrowsize*t.arrowwidth||0,p=d+h,g=d-h,v=3*t.startarrowsize*t.arrowwidth||0,m=v+h,y=v-h;if(u===l){var b=i.findExtremes(e,[e.r2c(o)],{ppadplus:p,ppadminus:g}),x=i.findExtremes(e,[e.r2c(s)],{ppadplus:Math.max(c,m),ppadminus:Math.max(f,y)});r={min:[b.min[0],x.min[0]],max:[b.max[0],x.max[0]]}}else m=s?m+s:m,y=s?y-s:y,r=i.findExtremes(e,[e.r2c(o)],{ppadplus:Math.max(c,p,m),ppadminus:Math.max(f,g,y)});t._extremes[n]=r}e.exports=function(t){var e=t._fullLayout;if(n.filterVisible(e.annotations).length&amp;&amp;t._fullData.length)return n.syncOrAsync([a,o],t)}},{&quot;../../lib&quot;:495,&quot;../../plots/cartesian/axes&quot;:541,&quot;./draw&quot;:367}],363:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../registry&quot;),a=t(&quot;../../plot_api/plot_template&quot;).arrayEditor;function o(t,e){var r,n,i,a,o,l,u,c=t._fullLayout.annotations,f=[],h=[],d=[],p=(e||[]).length;for(r=0;r&lt;c.length;r++)if(a=(i=c[r]).clicktoshow){for(n=0;n&lt;p;n++)if(l=(o=e[n]).xaxis,u=o.yaxis,l._id===i.xref&amp;&amp;u._id===i.yref&amp;&amp;l.d2r(o.x)===s(i._xclick,l)&amp;&amp;u.d2r(o.y)===s(i._yclick,u)){(i.visible?&quot;onout&quot;===a?h:d:f).push(r);break}n===p&amp;&amp;i.visible&amp;&amp;&quot;onout&quot;===a&amp;&amp;h.push(r)}return{on:f,off:h,explicitOff:d}}function s(t,e){return&quot;log&quot;===e.type?e.l2r(t):e.d2r(t)}e.exports={hasClickToShow:function(t,e){var r=o(t,e);return r.on.length&gt;0||r.explicitOff.length&gt;0},onClick:function(t,e){var r,s,l=o(t,e),u=l.on,c=l.off.concat(l.explicitOff),f={},h=t._fullLayout.annotations;if(!u.length&amp;&amp;!c.length)return;for(r=0;r&lt;u.length;r++)(s=a(t.layout,&quot;annotations&quot;,h[u[r]])).modifyItem(&quot;visible&quot;,!0),n.extendFlat(f,s.getUpdateObj());for(r=0;r&lt;c.length;r++)(s=a(t.layout,&quot;annotations&quot;,h[c[r]])).modifyItem(&quot;visible&quot;,!1),n.extendFlat(f,s.getUpdateObj());return i.call(&quot;update&quot;,t,{},f)}}},{&quot;../../lib&quot;:495,&quot;../../plot_api/plot_template&quot;:531,&quot;../../registry&quot;:592}],364:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../color&quot;);e.exports=function(t,e,r,a){a(&quot;opacity&quot;);var o=a(&quot;bgcolor&quot;),s=a(&quot;bordercolor&quot;),l=i.opacity(s);a(&quot;borderpad&quot;);var u=a(&quot;borderwidth&quot;),c=a(&quot;showarrow&quot;);if(a(&quot;text&quot;,c?&quot; &quot;:r._dfltTitle.annotation),a(&quot;textangle&quot;),n.coerceFont(a,&quot;font&quot;,r.font),a(&quot;width&quot;),a(&quot;align&quot;),a(&quot;height&quot;)&amp;&amp;a(&quot;valign&quot;),c){var f,h,d=a(&quot;arrowside&quot;);-1!==d.indexOf(&quot;end&quot;)&amp;&amp;(f=a(&quot;arrowhead&quot;),h=a(&quot;arrowsize&quot;)),-1!==d.indexOf(&quot;start&quot;)&amp;&amp;(a(&quot;startarrowhead&quot;,f),a(&quot;startarrowsize&quot;,h)),a(&quot;arrowcolor&quot;,l?e.bordercolor:i.defaultLine),a(&quot;arrowwidth&quot;,2*(l&amp;&amp;u||1)),a(&quot;standoff&quot;),a(&quot;startstandoff&quot;)}var p=a(&quot;hovertext&quot;),g=r.hoverlabel||{};if(p){var v=a(&quot;hoverlabel.bgcolor&quot;,g.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),m=a(&quot;hoverlabel.bordercolor&quot;,g.bordercolor||i.contrast(v));n.coerceFont(a,&quot;hoverlabel.font&quot;,{family:g.font.family,size:g.font.size,color:g.font.color||m})}a(&quot;captureevents&quot;,!!p)}},{&quot;../../lib&quot;:495,&quot;../color&quot;:376}],365:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;fast-isnumeric&quot;),i=t(&quot;../../lib/to_log_range&quot;);e.exports=function(t,e,r,a){e=e||{};var o=&quot;log&quot;===r&amp;&amp;&quot;linear&quot;===e.type,s=&quot;linear&quot;===r&amp;&amp;&quot;log&quot;===e.type;if(o||s)for(var l,u,c=t._fullLayout.annotations,f=e._id.charAt(0),h=0;h&lt;c.length;h++)l=c[h],u=&quot;annotations[&quot;+h+&quot;].&quot;,l[f+&quot;ref&quot;]===e._id&amp;&amp;d(f),l[&quot;a&quot;+f+&quot;ref&quot;]===e._id&amp;&amp;d(&quot;a&quot;+f);function d(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(u+t,s)}}},{&quot;../../lib/to_log_range&quot;:520,&quot;fast-isnumeric&quot;:90}],366:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../plots/cartesian/axes&quot;),a=t(&quot;../../plots/array_container_defaults&quot;),o=t(&quot;./common_defaults&quot;),s=t(&quot;./attributes&quot;);function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a(&quot;visible&quot;),u=a(&quot;clicktoshow&quot;);if(l||u){o(t,e,r,a);for(var c=e.showarrow,f=[&quot;x&quot;,&quot;y&quot;],h=[-10,-30],d={_fullLayout:r},p=0;p&lt;2;p++){var g=f[p],v=i.coerceRef(t,e,d,g,&quot;&quot;,&quot;paper&quot;);if(&quot;paper&quot;!==v)i.getFromId(d,v)._annIndices.push(e._index);if(i.coercePosition(e,d,a,v,g,.5),c){var m=&quot;a&quot;+g,y=i.coerceRef(t,e,d,m,&quot;pixel&quot;);&quot;pixel&quot;!==y&amp;&amp;y!==v&amp;&amp;(y=e[m]=&quot;pixel&quot;);var b=&quot;pixel&quot;===y?h[p]:.4;i.coercePosition(e,d,a,y,m,b)}a(g+&quot;anchor&quot;),a(g+&quot;shift&quot;)}if(n.noneOrAll(t,e,[&quot;x&quot;,&quot;y&quot;]),c&amp;&amp;n.noneOrAll(t,e,[&quot;ax&quot;,&quot;ay&quot;]),u){var x=a(&quot;xclick&quot;),_=a(&quot;yclick&quot;);e._xclick=void 0===x?e.x:i.cleanPosition(x,d,e.xref),e._yclick=void 0===_?e.y:i.cleanPosition(_,d,e.yref)}}}e.exports=function(t,e){a(t,e,{name:&quot;annotations&quot;,handleItemDefaults:l})}},{&quot;../../lib&quot;:495,&quot;../../plots/array_container_defaults&quot;:537,&quot;../../plots/cartesian/axes&quot;:541,&quot;./attributes&quot;:361,&quot;./common_defaults&quot;:364}],367:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;../../registry&quot;),a=t(&quot;../../plots/plots&quot;),o=t(&quot;../../lib&quot;),s=t(&quot;../../plots/cartesian/axes&quot;),l=t(&quot;../color&quot;),u=t(&quot;../drawing&quot;),c=t(&quot;../fx&quot;),f=t(&quot;../../lib/svg_text_utils&quot;),h=t(&quot;../../lib/setcursor&quot;),d=t(&quot;../dragelement&quot;),p=t(&quot;../../plot_api/plot_template&quot;).arrayEditor,g=t(&quot;./draw_arrow_head&quot;);function v(t,e){var r=t._fullLayout.annotations[e]||{},n=s.getFromId(t,r.xref),i=s.getFromId(t,r.yref);n&amp;&amp;n.setScale(),i&amp;&amp;i.setScale(),m(t,r,e,!1,n,i)}function m(t,e,r,a,s,v){var m,y,b=t._fullLayout,x=t._fullLayout._size,_=t._context.edits;a?(m=&quot;annotation-&quot;+a,y=a+&quot;.annotations&quot;):(m=&quot;annotation&quot;,y=&quot;annotations&quot;);var w=p(t.layout,y,e),A=w.modifyBase,M=w.modifyItem,T=w.getUpdateObj;b._infolayer.selectAll(&quot;.&quot;+m+&#x27;[data-index=&quot;&#x27;+r+&#x27;&quot;]&#x27;).remove();var k=&quot;clip&quot;+b._uid+&quot;_ann&quot;+r;if(e._input&amp;&amp;!1!==e.visible){var E={x:{},y:{}},L=+e.textangle||0,S=b._infolayer.append(&quot;g&quot;).classed(m,!0).attr(&quot;data-index&quot;,String(r)).style(&quot;opacity&quot;,e.opacity),C=S.append(&quot;g&quot;).classed(&quot;annotation-text-g&quot;,!0),O=_[e.showarrow?&quot;annotationTail&quot;:&quot;annotationPosition&quot;],R=e.captureevents||_.annotationText||O,P=C.append(&quot;g&quot;).style(&quot;pointer-events&quot;,R?&quot;all&quot;:null).call(h,&quot;pointer&quot;).on(&quot;click&quot;,function(){t._dragging=!1;var i={index:r,annotation:e._input,fullAnnotation:e,event:n.event};a&amp;&amp;(i.subplotId=a),t.emit(&quot;plotly_clickannotation&quot;,i)});e.hovertext&amp;&amp;P.on(&quot;mouseover&quot;,function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();c.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:b._hoverlayer.node(),outerContainer:b._paper.node(),gd:t})}).on(&quot;mouseout&quot;,function(){c.loneUnhover(b._hoverlayer.node())});var z=e.borderwidth,I=e.borderpad,N=z+I,D=P.append(&quot;rect&quot;).attr(&quot;class&quot;,&quot;bg&quot;).style(&quot;stroke-width&quot;,z+&quot;px&quot;).call(l.stroke,e.bordercolor).call(l.fill,e.bgcolor),F=e.width||e.height,j=b._topclips.selectAll(&quot;#&quot;+k).data(F?[0]:[]);j.enter().append(&quot;clipPath&quot;).classed(&quot;annclip&quot;,!0).attr(&quot;id&quot;,k).append(&quot;rect&quot;),j.exit().remove();var B=e.font,U=b.meta?o.templateString(e.text,{meta:b.meta}):e.text,V=P.append(&quot;text&quot;).classed(&quot;annotation-text&quot;,!0).text(U);_.annotationText?V.call(f.makeEditable,{delegate:P,gd:t}).call(H).on(&quot;edit&quot;,function(r){e.text=r,this.call(H),M(&quot;text&quot;,r),s&amp;&amp;s.autorange&amp;&amp;A(s._name+&quot;.autorange&quot;,!0),v&amp;&amp;v.autorange&amp;&amp;A(v._name+&quot;.autorange&quot;,!0),i.call(&quot;_guiRelayout&quot;,t,T())}):V.call(H)}else n.selectAll(&quot;#&quot;+k).remove();function H(r){return r.call(u.font,B).attr({&quot;text-anchor&quot;:{left:&quot;start&quot;,right:&quot;end&quot;}[e.align]||&quot;middle&quot;}),f.convertToTspans(r,t,q),r}function q(){var r=V.selectAll(&quot;a&quot;);1===r.size()&amp;&amp;r.text()===V.text()&amp;&amp;P.insert(&quot;a&quot;,&quot;:first-child&quot;).attr({&quot;xlink:xlink:href&quot;:r.attr(&quot;xlink:href&quot;),&quot;xlink:xlink:show&quot;:r.attr(&quot;xlink:show&quot;)}).style({cursor:&quot;pointer&quot;}).node().appendChild(D.node());var n=P.select(&quot;.annotation-text-math-group&quot;),c=!n.empty(),p=u.bBox((c?n:V).node()),m=p.width,y=p.height,w=e.width||m,R=e.height||y,I=Math.round(w+2*N),B=Math.round(R+2*N);function U(t,e){return&quot;auto&quot;===e&amp;&amp;(e=t&lt;1/3?&quot;left&quot;:t&gt;2/3?&quot;right&quot;:&quot;center&quot;),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var H=!1,q=[&quot;x&quot;,&quot;y&quot;],G=0;G&lt;q.length;G++){var X,W,Y,Z,Q,$=q[G],J=e[$+&quot;ref&quot;]||$,K=e[&quot;a&quot;+$+&quot;ref&quot;],tt={x:s,y:v}[$],et=(L+(&quot;x&quot;===$?0:-90))*Math.PI/180,rt=I*Math.cos(et),nt=B*Math.sin(et),it=Math.abs(rt)+Math.abs(nt),at=e[$+&quot;anchor&quot;],ot=e[$+&quot;shift&quot;]*(&quot;x&quot;===$?1:-1),st=E[$];if(tt){var lt=tt.r2fraction(e[$]);(lt&lt;0||lt&gt;1)&amp;&amp;(K===J?((lt=tt.r2fraction(e[&quot;a&quot;+$]))&lt;0||lt&gt;1)&amp;&amp;(H=!0):H=!0),X=tt._offset+tt.r2p(e[$]),Z=.5}else&quot;x&quot;===$?(Y=e[$],X=x.l+x.w*Y):(Y=1-e[$],X=x.t+x.h*Y),Z=e.showarrow?.5:Y;if(e.showarrow){st.head=X;var ut=e[&quot;a&quot;+$];Q=rt*U(.5,e.xanchor)-nt*U(.5,e.yanchor),K===J?(st.tail=tt._offset+tt.r2p(ut),W=Q):(st.tail=X+ut,W=Q+ut),st.text=st.tail+Q;var ct=b[&quot;x&quot;===$?&quot;width&quot;:&quot;height&quot;];if(&quot;paper&quot;===J&amp;&amp;(st.head=o.constrain(st.head,1,ct-1)),&quot;pixel&quot;===K){var ft=-Math.max(st.tail-3,st.text),ht=Math.min(st.tail+3,st.text)-ct;ft&gt;0?(st.tail+=ft,st.text+=ft):ht&gt;0&amp;&amp;(st.tail-=ht,st.text-=ht)}st.tail+=ot,st.head+=ot}else W=Q=it*U(Z,at),st.text=X+Q;st.text+=ot,Q+=ot,W+=ot,e[&quot;_&quot;+$+&quot;padplus&quot;]=it/2+W,e[&quot;_&quot;+$+&quot;padminus&quot;]=it/2-W,e[&quot;_&quot;+$+&quot;size&quot;]=it,e[&quot;_&quot;+$+&quot;shift&quot;]=Q}if(t._dragging||!H){var dt=0,pt=0;if(&quot;left&quot;!==e.align&amp;&amp;(dt=(w-m)*(&quot;center&quot;===e.align?.5:1)),&quot;top&quot;!==e.valign&amp;&amp;(pt=(R-y)*(&quot;middle&quot;===e.valign?.5:1)),c)n.select(&quot;svg&quot;).attr({x:N+dt-1,y:N+pt}).call(u.setClipUrl,F?k:null,t);else{var gt=N+pt-p.top,vt=N+dt-p.left;V.call(f.positionText,vt,gt).call(u.setClipUrl,F?k:null,t)}j.select(&quot;rect&quot;).call(u.setRect,N,N,w,R),D.call(u.setRect,z/2,z/2,I-z,B-z),P.call(u.setTranslate,Math.round(E.x.text-I/2),Math.round(E.y.text-B/2)),C.attr({transform:&quot;rotate(&quot;+L+&quot;,&quot;+E.x.text+&quot;,&quot;+E.y.text+&quot;)&quot;});var mt,yt=function(r,n){S.selectAll(&quot;.annotation-arrow-g&quot;).remove();var c=E.x.head,f=E.y.head,h=E.x.tail+r,p=E.y.tail+n,m=E.x.text+r,y=E.y.text+n,b=o.rotationXYMatrix(L,m,y),w=o.apply2DTransform(b),k=o.apply2DTransform2(b),O=+D.attr(&quot;width&quot;),R=+D.attr(&quot;height&quot;),z=m-.5*O,I=z+O,N=y-.5*R,F=N+R,j=[[z,N,z,F],[z,F,I,F],[I,F,I,N],[I,N,z,N]].map(k);if(!j.reduce(function(t,e){return t^!!o.segmentsIntersect(c,f,c+1e6,f+1e6,e[0],e[1],e[2],e[3])},!1)){j.forEach(function(t){var e=o.segmentsIntersect(h,p,c,f,t[0],t[1],t[2],t[3]);e&amp;&amp;(h=e.x,p=e.y)});var B=e.arrowwidth,U=e.arrowcolor,V=e.arrowside,H=S.append(&quot;g&quot;).style({opacity:l.opacity(U)}).classed(&quot;annotation-arrow-g&quot;,!0),q=H.append(&quot;path&quot;).attr(&quot;d&quot;,&quot;M&quot;+h+&quot;,&quot;+p+&quot;L&quot;+c+&quot;,&quot;+f).style(&quot;stroke-width&quot;,B+&quot;px&quot;).call(l.stroke,l.rgb(U));if(g(q,V,e),_.annotationPosition&amp;&amp;q.node().parentNode&amp;&amp;!a){var G=c,X=f;if(e.standoff){var W=Math.sqrt(Math.pow(c-h,2)+Math.pow(f-p,2));G+=e.standoff*(h-c)/W,X+=e.standoff*(p-f)/W}var Y,Z,Q=H.append(&quot;path&quot;).classed(&quot;annotation-arrow&quot;,!0).classed(&quot;anndrag&quot;,!0).classed(&quot;cursor-move&quot;,!0).attr({d:&quot;M3,3H-3V-3H3ZM0,0L&quot;+(h-G)+&quot;,&quot;+(p-X),transform:&quot;translate(&quot;+G+&quot;,&quot;+X+&quot;)&quot;}).style(&quot;stroke-width&quot;,B+6+&quot;px&quot;).call(l.stroke,&quot;rgba(0,0,0,0)&quot;).call(l.fill,&quot;rgba(0,0,0,0)&quot;);d.init({element:Q.node(),gd:t,prepFn:function(){var t=u.getTranslate(P);Y=t.x,Z=t.y,s&amp;&amp;s.autorange&amp;&amp;A(s._name+&quot;.autorange&quot;,!0),v&amp;&amp;v.autorange&amp;&amp;A(v._name+&quot;.autorange&quot;,!0)},moveFn:function(t,r){var n=w(Y,Z),i=n[0]+t,a=n[1]+r;P.call(u.setTranslate,i,a),M(&quot;x&quot;,s?s.p2r(s.r2p(e.x)+t):e.x+t/x.w),M(&quot;y&quot;,v?v.p2r(v.r2p(e.y)+r):e.y-r/x.h),e.axref===e.xref&amp;&amp;M(&quot;ax&quot;,s.p2r(s.r2p(e.ax)+t)),e.ayref===e.yref&amp;&amp;M(&quot;ay&quot;,v.p2r(v.r2p(e.ay)+r)),H.attr(&quot;transform&quot;,&quot;translate(&quot;+t+&quot;,&quot;+r+&quot;)&quot;),C.attr({transform:&quot;rotate(&quot;+L+&quot;,&quot;+i+&quot;,&quot;+a+&quot;)&quot;})},doneFn:function(){i.call(&quot;_guiRelayout&quot;,t,T());var e=document.querySelector(&quot;.js-notes-box-panel&quot;);e&amp;&amp;e.redraw(e.selectedObj)}})}}};if(e.showarrow&amp;&amp;yt(0,0),O)d.init({element:P.node(),gd:t,prepFn:function(){mt=C.attr(&quot;transform&quot;)},moveFn:function(t,r){var n=&quot;pointer&quot;;if(e.showarrow)e.axref===e.xref?M(&quot;ax&quot;,s.p2r(s.r2p(e.ax)+t)):M(&quot;ax&quot;,e.ax+t),e.ayref===e.yref?M(&quot;ay&quot;,v.p2r(v.r2p(e.ay)+r)):M(&quot;ay&quot;,e.ay+r),yt(t,r);else{if(a)return;var i,o;if(s)i=s.p2r(s.r2p(e.x)+t);else{var l=e._xsize/x.w,u=e.x+(e._xshift-e.xshift)/x.w-l/2;i=d.align(u+t/x.w,l,0,1,e.xanchor)}if(v)o=v.p2r(v.r2p(e.y)+r);else{var c=e._ysize/x.h,f=e.y-(e._yshift+e.yshift)/x.h-c/2;o=d.align(f-r/x.h,c,0,1,e.yanchor)}M(&quot;x&quot;,i),M(&quot;y&quot;,o),s&amp;&amp;v||(n=d.getCursor(s?.5:i,v?.5:o,e.xanchor,e.yanchor))}C.attr({transform:&quot;translate(&quot;+t+&quot;,&quot;+r+&quot;)&quot;+mt}),h(P,n)},doneFn:function(){h(P),i.call(&quot;_guiRelayout&quot;,t,T());var e=document.querySelector(&quot;.js-notes-box-panel&quot;);e&amp;&amp;e.redraw(e.selectedObj)}})}else P.remove()}}e.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(&quot;.annotation&quot;).remove();for(var r=0;r&lt;e.annotations.length;r++)e.annotations[r].visible&amp;&amp;v(t,r);return a.previousPromises(t)},drawOne:v,drawRaw:m}},{&quot;../../lib&quot;:495,&quot;../../lib/setcursor&quot;:514,&quot;../../lib/svg_text_utils&quot;:518,&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/cartesian/axes&quot;:541,&quot;../../plots/plots&quot;:584,&quot;../../registry&quot;:592,&quot;../color&quot;:376,&quot;../dragelement&quot;:394,&quot;../drawing&quot;:397,&quot;../fx&quot;:415,&quot;./draw_arrow_head&quot;:368,d3:81}],368:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;../color&quot;),a=t(&quot;./arrow_paths&quot;);e.exports=function(t,e,r){var o,s,l,u,c=t.node(),f=a[r.arrowhead||0],h=a[r.startarrowhead||0],d=(r.arrowwidth||1)*(r.arrowsize||1),p=(r.arrowwidth||1)*(r.startarrowsize||1),g=e.indexOf(&quot;start&quot;)&gt;=0,v=e.indexOf(&quot;end&quot;)&gt;=0,m=f.backoff*d+r.standoff,y=h.backoff*p+r.startstandoff;if(&quot;line&quot;===c.nodeName){o={x:+t.attr(&quot;x1&quot;),y:+t.attr(&quot;y1&quot;)},s={x:+t.attr(&quot;x2&quot;),y:+t.attr(&quot;y2&quot;)};var b=o.x-s.x,x=o.y-s.y;if(u=(l=Math.atan2(x,b))+Math.PI,m&amp;&amp;y&amp;&amp;m+y&gt;Math.sqrt(b*b+x*x))return void O();if(m){if(m*m&gt;b*b+x*x)return void O();var _=m*Math.cos(l),w=m*Math.sin(l);s.x+=_,s.y+=w,t.attr({x2:s.x,y2:s.y})}if(y){if(y*y&gt;b*b+x*x)return void O();var A=y*Math.cos(l),M=y*Math.sin(l);o.x-=A,o.y-=M,t.attr({x1:o.x,y1:o.y})}}else if(&quot;path&quot;===c.nodeName){var T=c.getTotalLength(),k=&quot;&quot;;if(T&lt;m+y)return void O();var E=c.getPointAtLength(0),L=c.getPointAtLength(.1);l=Math.atan2(E.y-L.y,E.x-L.x),o=c.getPointAtLength(Math.min(y,T)),k=&quot;0px,&quot;+y+&quot;px,&quot;;var S=c.getPointAtLength(T),C=c.getPointAtLength(T-.1);u=Math.atan2(S.y-C.y,S.x-C.x),s=c.getPointAtLength(Math.max(0,T-m)),k+=T-(k?y+m:m)+&quot;px,&quot;+T+&quot;px&quot;,t.style(&quot;stroke-dasharray&quot;,k)}function O(){t.style(&quot;stroke-dasharray&quot;,&quot;0px,100px&quot;)}function R(e,a,o,s){e.path&amp;&amp;(e.noRotate&amp;&amp;(o=0),n.select(c.parentNode).append(&quot;path&quot;).attr({class:t.attr(&quot;class&quot;),d:e.path,transform:&quot;translate(&quot;+a.x+&quot;,&quot;+a.y+&quot;)&quot;+(o?&quot;rotate(&quot;+180*o/Math.PI+&quot;)&quot;:&quot;&quot;)+&quot;scale(&quot;+s+&quot;)&quot;}).style({fill:i.rgb(r.arrowcolor),&quot;stroke-width&quot;:0}))}g&amp;&amp;R(h,o,l,p),v&amp;&amp;R(f,s,u,d)}},{&quot;../color&quot;:376,&quot;./arrow_paths&quot;:360,d3:81}],369:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./draw&quot;),i=t(&quot;./click&quot;);e.exports={moduleType:&quot;component&quot;,name:&quot;annotations&quot;,layoutAttributes:t(&quot;./attributes&quot;),supplyLayoutDefaults:t(&quot;./defaults&quot;),includeBasePlot:t(&quot;../../plots/cartesian/include_components&quot;)(&quot;annotations&quot;),calcAutorange:t(&quot;./calc_autorange&quot;),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:t(&quot;./convert_coords&quot;)}},{&quot;../../plots/cartesian/include_components&quot;:551,&quot;./attributes&quot;:361,&quot;./calc_autorange&quot;:362,&quot;./click&quot;:363,&quot;./convert_coords&quot;:365,&quot;./defaults&quot;:366,&quot;./draw&quot;:367}],370:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../annotations/attributes&quot;),i=t(&quot;../../plot_api/edit_types&quot;).overrideAll,a=t(&quot;../../plot_api/plot_template&quot;).templatedArray;e.exports=i(a(&quot;annotation&quot;,{visible:n.visible,x:{valType:&quot;any&quot;},y:{valType:&quot;any&quot;},z:{valType:&quot;any&quot;},ax:{valType:&quot;number&quot;},ay:{valType:&quot;number&quot;},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),&quot;calc&quot;,&quot;from-root&quot;)},{&quot;../../plot_api/edit_types&quot;:524,&quot;../../plot_api/plot_template&quot;:531,&quot;../annotations/attributes&quot;:361}],371:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../plots/cartesian/axes&quot;);function a(t,e){var r=e.fullSceneLayout.domain,a=e.fullLayout._size,o={pdata:null,type:&quot;linear&quot;,autorange:!1,range:[-1/0,1/0]};t._xa={},n.extendFlat(t._xa,o),i.setConvert(t._xa),t._xa._offset=a.l+r.x[0]*a.w,t._xa.l2p=function(){return.5*(1+t._pdata[0]/t._pdata[3])*a.w*(r.x[1]-r.x[0])},t._ya={},n.extendFlat(t._ya,o),i.setConvert(t._ya),t._ya._offset=a.t+(1-r.y[1])*a.h,t._ya.l2p=function(){return.5*(1-t._pdata[1]/t._pdata[3])*a.h*(r.y[1]-r.y[0])}}e.exports=function(t){for(var e=t.fullSceneLayout.annotations,r=0;r&lt;e.length;r++)a(e[r],t);t.fullLayout._infolayer.selectAll(&quot;.annotation-&quot;+t.id).remove()}},{&quot;../../lib&quot;:495,&quot;../../plots/cartesian/axes&quot;:541}],372:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../plots/cartesian/axes&quot;),a=t(&quot;../../plots/array_container_defaults&quot;),o=t(&quot;../annotations/common_defaults&quot;),s=t(&quot;./attributes&quot;);function l(t,e,r,a){function l(r,i){return n.coerce(t,e,s,r,i)}function u(t){var n=t+&quot;axis&quot;,a={_fullLayout:{}};return a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l(&quot;visible&quot;)&amp;&amp;(o(t,e,a.fullLayout,l),u(&quot;x&quot;),u(&quot;y&quot;),u(&quot;z&quot;),n.noneOrAll(t,e,[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;]),e.xref=&quot;x&quot;,e.yref=&quot;y&quot;,e.zref=&quot;z&quot;,l(&quot;xanchor&quot;),l(&quot;yanchor&quot;),l(&quot;xshift&quot;),l(&quot;yshift&quot;),e.showarrow&amp;&amp;(e.axref=&quot;pixel&quot;,e.ayref=&quot;pixel&quot;,l(&quot;ax&quot;,-10),l(&quot;ay&quot;,-30),n.noneOrAll(t,e,[&quot;ax&quot;,&quot;ay&quot;])))}e.exports=function(t,e,r){a(t,e,{name:&quot;annotations&quot;,handleItemDefaults:l,fullLayout:r.fullLayout})}},{&quot;../../lib&quot;:495,&quot;../../plots/array_container_defaults&quot;:537,&quot;../../plots/cartesian/axes&quot;:541,&quot;../annotations/common_defaults&quot;:364,&quot;./attributes&quot;:370}],373:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../annotations/draw&quot;).drawRaw,i=t(&quot;../../plots/gl3d/project&quot;),a=[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;];e.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s&lt;o.length;s++){for(var l=o[s],u=!1,c=0;c&lt;3;c++){var f=a[c],h=l[f],d=e[f+&quot;axis&quot;].r2fraction(h);if(d&lt;0||d&gt;1){u=!0;break}}u?t.fullLayout._infolayer.select(&quot;.annotation-&quot;+t.id+&#x27;[data-index=&quot;&#x27;+s+&#x27;&quot;]&#x27;).remove():(l._pdata=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},{&quot;../../plots/gl3d/project&quot;:579,&quot;../annotations/draw&quot;:367}],374:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../registry&quot;),i=t(&quot;../../lib&quot;);e.exports={moduleType:&quot;component&quot;,name:&quot;annotations3d&quot;,schema:{subplots:{scene:{annotations:t(&quot;./attributes&quot;)}}},layoutAttributes:t(&quot;./attributes&quot;),handleDefaults:t(&quot;./defaults&quot;),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(!r)return;for(var a=r.attrRegex,o=Object.keys(t),s=0;s&lt;o.length;s++){var l=o[s];a.test(l)&amp;&amp;(t[l].annotations||[]).length&amp;&amp;(i.pushUnique(e._basePlotModules,r),i.pushUnique(e._subplots.gl3d,l))}},convert:t(&quot;./convert&quot;),draw:t(&quot;./draw&quot;)}},{&quot;../../lib&quot;:495,&quot;../../registry&quot;:592,&quot;./attributes&quot;:370,&quot;./convert&quot;:371,&quot;./defaults&quot;:372,&quot;./draw&quot;:373}],375:[function(t,e,r){&quot;use strict&quot;;r.defaults=[&quot;#1f77b4&quot;,&quot;#ff7f0e&quot;,&quot;#2ca02c&quot;,&quot;#d62728&quot;,&quot;#9467bd&quot;,&quot;#8c564b&quot;,&quot;#e377c2&quot;,&quot;#7f7f7f&quot;,&quot;#bcbd22&quot;,&quot;#17becf&quot;],r.defaultLine=&quot;#444&quot;,r.lightLine=&quot;#eee&quot;,r.background=&quot;#fff&quot;,r.borderLine=&quot;#BEC8D9&quot;,r.lightFraction=1e3/11},{}],376:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;tinycolor2&quot;),i=t(&quot;fast-isnumeric&quot;),a=e.exports={},o=t(&quot;./attributes&quot;);a.defaults=o.defaults;var s=a.defaultLine=o.defaultLine;a.lightLine=o.lightLine;var l=a.background=o.background;function u(t){if(i(t)||&quot;string&quot;!=typeof t)return t;var e=t.trim();if(&quot;rgb&quot;!==e.substr(0,3))return t;var r=e.match(/^rgba?\\s*\\(([^()]*)\\)$/);if(!r)return t;var n=r[1].trim().split(/\\s*[\\s,]\\s*/),a=&quot;a&quot;===e.charAt(3)&amp;&amp;4===n.length;if(!a&amp;&amp;3!==n.length)return t;for(var o=0;o&lt;n.length;o++){if(!n[o].length)return t;if(n[o]=Number(n[o]),!(n[o]&gt;=0))return t;if(3===o)n[o]&gt;1&amp;&amp;(n[o]=1);else if(n[o]&gt;=1)return t}var s=Math.round(255*n[0])+&quot;, &quot;+Math.round(255*n[1])+&quot;, &quot;+Math.round(255*n[2]);return a?&quot;rgba(&quot;+s+&quot;, &quot;+n[3]+&quot;)&quot;:&quot;rgb(&quot;+s+&quot;)&quot;}a.tinyRGB=function(t){var e=t.toRgb();return&quot;rgb(&quot;+Math.round(e.r)+&quot;, &quot;+Math.round(e.g)+&quot;, &quot;+Math.round(e.b)+&quot;)&quot;},a.rgb=function(t){return a.tinyRGB(n(t))},a.opacity=function(t){return t?n(t).getAlpha():0},a.addOpacity=function(t,e){var r=n(t).toRgb();return&quot;rgba(&quot;+Math.round(r.r)+&quot;, &quot;+Math.round(r.g)+&quot;, &quot;+Math.round(r.b)+&quot;, &quot;+e+&quot;)&quot;},a.combine=function(t,e){var r=n(t).toRgb();if(1===r.a)return n(t).toRgbString();var 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n={propContainer:et,propName:E(&quot;title&quot;),traceIndex:k().index,placeholder:v._dfltTitle.colorbar,containerGroup:st.select(&quot;.cbtitle&quot;)},i=&quot;h&quot;===e.charAt(0)?e.substr(1):&quot;h&quot;+e;st.selectAll(&quot;.&quot;+i+&quot;,.&quot;+i+&quot;-math-group&quot;).remove(),p.draw(t,e,c(n,r||{}))}v._infolayer.selectAll(&quot;g.&quot;+e).remove()}function k(){for(var r=e.substr(2),n=0;n&lt;t._fullData.length;n++){var i=t._fullData[n];if(i.uid===r)return i}}function E(t){var e=&quot;colorbar.&quot;,r=k()._module.colorbar.container;return r&amp;&amp;(e=r+&quot;.&quot;+e),e+t}return r.fillcolor=null,r.line={color:null,width:null,dash:null},r.levels={start:null,end:null,size:null},r.filllevels=null,r.fillgradient=null,r.zrange=null,Object.keys(r).forEach(function(t){T[t]=function(e){return arguments.length?(r[t]=u.isPlainObject(r[t])?u.extendFlat(r[t],e):e,T):r[t]}}),T.options=function(t){for(var e in t)&quot;function&quot;==typeof T[e]&amp;&amp;T[e](t[e]);return T},T._opts=r,T}},{&quot;../../constants/alignment&quot;:471,&quot;../../lib&quot;:495,&quot;../../lib/extend&quot;:488,&quot;../../lib/setcursor&quot;:514,&quot;../../lib/svg_text_utils&quot;:518,&quot;../../plots/cartesian/axes&quot;:541,&quot;../../plots/cartesian/axis_defaults&quot;:543,&quot;../../plots/cartesian/layout_attributes&quot;:553,&quot;../../plots/cartesian/position_defaults&quot;:556,&quot;../../plots/plots&quot;:584,&quot;../../registry&quot;:592,&quot;../color&quot;:376,&quot;../dragelement&quot;:394,&quot;../drawing&quot;:397,&quot;../titles&quot;:464,&quot;./attributes&quot;:377,&quot;./constants&quot;:379,d3:81,tinycolor2:342}],382:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;);e.exports=function(t){return n.isPlainObject(t.colorbar)}},{&quot;../../lib&quot;:495}],383:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./scales.js&quot;).scales;Object.keys(n);function i(t){return&quot;`&quot;+t+&quot;`&quot;}e.exports=function(t,e){t=t||&quot;&quot;;var r,a=(e=e||{}).cLetter||&quot;c&quot;,o=(&quot;onlyIfNumerical&quot;in e?e.onlyIfNumerical:Boolean(t),&quot;noScale&quot;in e?e.noScale:&quot;marker.line&quot;===t),s=&quot;showScaleDflt&quot;in e?e.showScaleDflt:&quot;z&quot;===a,l=&quot;string&quot;==typeof e.colorscaleDflt?n[e.colorscaleDflt]:null,u=e.editTypeOverride||&quot;&quot;,c=t?t+&quot;.&quot;:&quot;&quot;;&quot;colorAttr&quot;in e?(r=e.colorAttr,e.colorAttr):i(c+(r={z:&quot;z&quot;,c:&quot;color&quot;}[a]));var f=a+&quot;auto&quot;,h=a+&quot;min&quot;,d=a+&quot;max&quot;,p=a+&quot;mid&quot;,g=(i(c+f),i(c+h),i(c+d),{});g[h]=g[d]=void 0;var v={};v[f]=!1;var m={};return&quot;color&quot;===r&amp;&amp;(m.color={valType:&quot;color&quot;,arrayOk:!0,editType:u||&quot;style&quot;},e.anim&amp;&amp;(m.color.anim=!0)),m[f]={valType:&quot;boolean&quot;,dflt:!0,editType:&quot;calc&quot;,impliedEdits:g},m[h]={valType:&quot;number&quot;,dflt:null,editType:u||&quot;plot&quot;,impliedEdits:v},m[d]={valType:&quot;number&quot;,dflt:null,editType:u||&quot;plot&quot;,impliedEdits:v},m[p]={valType:&quot;number&quot;,dflt:null,editType:&quot;calc&quot;,impliedEdits:g},m.colorscale={valType:&quot;colorscale&quot;,editType:&quot;calc&quot;,dflt:l,impliedEdits:{autocolorscale:!1}},m.autocolorscale={valType:&quot;boolean&quot;,dflt:!1!==e.autoColorDflt,editType:&quot;calc&quot;,impliedEdits:{colorscale:void 0}},m.reversescale={valType:&quot;boolean&quot;,dflt:!1,editType:&quot;plot&quot;},o||(m.showscale={valType:&quot;boolean&quot;,dflt:s,editType:&quot;calc&quot;}),m}},{&quot;./scales.js&quot;:391}],384:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;);e.exports=function(t,e,r){var i=t._fullLayout,a=r.vals,o=r.containerStr,s=r.cLetter,l=o?n.nestedProperty(e,o).get():e,u=s+&quot;min&quot;,c=s+&quot;max&quot;,f=s+&quot;mid&quot;,h=l[s+&quot;auto&quot;],d=l[u],p=l[c],g=l[f],v=l.colorscale;!1===h&amp;&amp;void 0!==d||(d=n.aggNums(Math.min,null,a)),!1===h&amp;&amp;void 0!==p||(p=n.aggNums(Math.max,null,a)),!1!==h&amp;&amp;void 0!==g&amp;&amp;(p-g&gt;g-d?d=g-(p-g):p-g&lt;g-d&amp;&amp;(p=g+(g-d))),d===p&amp;&amp;(d-=.5,p+=.5),l[&quot;_&quot;+u]=l[u]=d,l[&quot;_&quot;+c]=l[c]=p,l.autocolorscale&amp;&amp;(v=d*p&lt;0?i.colorscale.diverging:d&gt;=0?i.colorscale.sequential:i.colorscale.sequentialminus,l._colorscale=l.colorscale=v)}},{&quot;../../lib&quot;:495}],385:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;./helpers&quot;).hasColorscale;e.exports=function(t){function e(t,e){var r=t[&quot;_&quot;+e];void 0!==r&amp;&amp;(t[e]=r)}function r(t,r){var i=r.container?n.nestedProperty(t,r.container).get():t;if(i){var a=i.zauto||i.cauto,o=r.min,s=r.max;(a||void 0===i[o])&amp;&amp;e(i,o),(a||void 0===i[s])&amp;&amp;e(i,s),i.autocolorscale&amp;&amp;e(i,&quot;colorscale&quot;)}}for(var a=0;a&lt;t.length;a++){var o=t[a],s=o._module.colorbar;if(s)if(Array.isArray(s))for(var l=0;l&lt;s.length;l++)r(o,s[l]);else r(o,s);i(o,&quot;marker.line&quot;)&amp;&amp;r(o,{container:&quot;marker.line&quot;,min:&quot;cmin&quot;,max:&quot;cmax&quot;}),i(o,&quot;line&quot;)&amp;&amp;r(o,{container:&quot;line&quot;,min:&quot;cmin&quot;,max:&quot;cmax&quot;})}}},{&quot;../../lib&quot;:495,&quot;./helpers&quot;:387}],386:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;fast-isnumeric&quot;),i=t(&quot;../../lib&quot;),a=t(&quot;../colorbar/has_colorbar&quot;),o=t(&quot;../colorbar/defaults&quot;),s=t(&quot;./scales&quot;).isValid;function l(t,e){var r=e.slice(0,e.length-1);return e?i.nestedProperty(t,r).get()||{}:t}e.exports=function(t,e,r,i,u){var c=u.prefix,f=u.cLetter,h=l(t,c),d=l(e,c),p=l(e._template||{},c)||{},g=h[f+&quot;min&quot;],v=h[f+&quot;max&quot;];i(c+f+&quot;auto&quot;,!(n(g)&amp;&amp;n(v)&amp;&amp;g&lt;v))?i(c+f+&quot;mid&quot;):(i(c+f+&quot;min&quot;),i(c+f+&quot;max&quot;));var m,y,b=h.colorscale,x=p.colorscale;(void 0!==b&amp;&amp;(m=!s(b)),void 0!==x&amp;&amp;(m=!s(x)),i(c+&quot;autocolorscale&quot;,m),i(c+&quot;colorscale&quot;),i(c+&quot;reversescale&quot;),u.noScale||&quot;marker.line.&quot;===c)||(c&amp;&amp;(y=a(h)),i(c+&quot;showscale&quot;,y)&amp;&amp;o(h,d,r))}},{&quot;../../lib&quot;:495,&quot;../colorbar/defaults&quot;:380,&quot;../colorbar/has_colorbar&quot;:382,&quot;./scales&quot;:391,&quot;fast-isnumeric&quot;:90}],387:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;tinycolor2&quot;),a=t(&quot;fast-isnumeric&quot;),o=t(&quot;../../lib&quot;),s=t(&quot;../color&quot;),l=t(&quot;./scales&quot;).isValid;function u(t){for(var e=t.length,r=new Array(e),n=e-1,i=0;n&gt;=0;n--,i++){var a=t[n];r[i]=[1-a[0],a[1]]}return r}function c(t){var e={r:t[0],g:t[1],b:t[2],a:t[3]};return i(e).toRgbString()}e.exports={hasColorscale:function(t,e){var r=e?o.nestedProperty(t,e).get()||{}:t,n=r.color,i=!1;if(o.isArrayOrTypedArray(n))for(var s=0;s&lt;n.length;s++)if(a(n[s])){i=!0;break}return o.isPlainObject(r)&amp;&amp;(i||!0===r.showscale||a(r.cmin)&amp;&amp;a(r.cmax)||l(r.colorscale)||o.isPlainObject(r.colorbar))},extractScale:function(t,e){for(var r=e.cLetter,n=t.reversescale?u(t.colorscale):t.colorscale,i=t[r+&quot;min&quot;],a=t[r+&quot;max&quot;],o=n.length,s=new Array(o),l=new Array(o),c=0;c&lt;o;c++){var f=n[c];s[c]=i+f[0]*(a-i),l[c]=f[1]}return{domain:s,range:l}},flipScale:u,makeColorScaleFunc:function(t,e){e=e||{};for(var r=t.domain,o=t.range,l=o.length,u=new Array(l),f=0;f&lt;l;f++){var h=i(o[f]).toRgb();u[f]=[h.r,h.g,h.b,h.a]}var d,p=n.scale.linear().domain(r).range(u).clamp(!0),g=e.noNumericCheck,v=e.returnArray;return(d=g&amp;&amp;v?p:g?function(t){return c(p(t))}:v?function(t){return a(t)?p(t):i(t).isValid()?t:s.defaultLine}:function(t){return a(t)?c(p(t)):i(t).isValid()?t:s.defaultLine}).domain=p.domain,d.range=function(){return o},d}}},{&quot;../../lib&quot;:495,&quot;../color&quot;:376,&quot;./scales&quot;:391,d3:81,&quot;fast-isnumeric&quot;:90,tinycolor2:342}],388:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./scales&quot;),i=t(&quot;./helpers&quot;);e.exports={moduleType:&quot;component&quot;,name:&quot;colorscale&quot;,attributes:t(&quot;./attributes&quot;),layoutAttributes:t(&quot;./layout_attributes&quot;),supplyLayoutDefaults:t(&quot;./layout_defaults&quot;),handleDefaults:t(&quot;./defaults&quot;),crossTraceDefaults:t(&quot;./cross_trace_defaults&quot;),calc:t(&quot;./calc&quot;),scales:n.scales,defaultScale:n.defaultScale,getScale:n.get,isValidScale:n.isValid,hasColorscale:i.hasColorscale,flipScale:i.flipScale,extractScale:i.extractScale,makeColorScaleFunc:i.makeColorScaleFunc}},{&quot;./attributes&quot;:383,&quot;./calc&quot;:384,&quot;./cross_trace_defaults&quot;:385,&quot;./defaults&quot;:386,&quot;./helpers&quot;:387,&quot;./layout_attributes&quot;:389,&quot;./layout_defaults&quot;:390,&quot;./scales&quot;:391}],389:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./scales&quot;).scales;e.exports={editType:&quot;calc&quot;,sequential:{valType:&quot;colorscale&quot;,dflt:n.Reds,editType:&quot;calc&quot;},sequentialminus:{valType:&quot;colorscale&quot;,dflt:n.Blues,editType:&quot;calc&quot;},diverging:{valType:&quot;colorscale&quot;,dflt:n.RdBu,editType:&quot;calc&quot;}}},{&quot;./scales&quot;:391}],390:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;./layout_attributes&quot;),a=t(&quot;../../plot_api/plot_template&quot;);e.exports=function(t,e){var r=t.colorscale,o=a.newContainer(e,&quot;colorscale&quot;);function s(t,e){return n.coerce(r,o,i,t,e)}s(&quot;sequential&quot;),s(&quot;sequentialminus&quot;),s(&quot;diverging&quot;)}},{&quot;../../lib&quot;:495,&quot;../../plot_api/plot_template&quot;:531,&quot;./layout_attributes&quot;:389}],391:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;tinycolor2&quot;),i={Greys:[[0,&quot;rgb(0,0,0)&quot;],[1,&quot;rgb(255,255,255)&quot;]],YlGnBu:[[0,&quot;rgb(8,29,88)&quot;],[.125,&quot;rgb(37,52,148)&quot;],[.25,&quot;rgb(34,94,168)&quot;],[.375,&quot;rgb(29,145,192)&quot;],[.5,&quot;rgb(65,182,196)&quot;],[.625,&quot;rgb(127,205,187)&quot;],[.75,&quot;rgb(199,233,180)&quot;],[.875,&quot;rgb(237,248,217)&quot;],[1,&quot;rgb(255,255,217)&quot;]],Greens:[[0,&quot;rgb(0,68,27)&quot;],[.125,&quot;rgb(0,109,44)&quot;],[.25,&quot;rgb(35,139,69)&quot;],[.375,&quot;rgb(65,171,93)&quot;],[.5,&quot;rgb(116,196,118)&quot;],[.625,&quot;rgb(161,217,155)&quot;],[.75,&quot;rgb(199,233,192)&quot;],[.875,&quot;rgb(229,245,224)&quot;],[1,&quot;rgb(247,252,245)&quot;]],YlOrRd:[[0,&quot;rgb(128,0,38)&quot;],[.125,&quot;rgb(189,0,38)&quot;],[.25,&quot;rgb(227,26,28)&quot;],[.375,&quot;rgb(252,78,42)&quot;],[.5,&quot;rgb(253,141,60)&quot;],[.625,&quot;rgb(254,178,76)&quot;],[.75,&quot;rgb(254,217,118)&quot;],[.875,&quot;rgb(255,237,160)&quot;],[1,&quot;rgb(255,255,204)&quot;]],Bluered:[[0,&quot;rgb(0,0,255)&quot;],[1,&quot;rgb(255,0,0)&quot;]],RdBu:[[0,&quot;rgb(5,10,172)&quot;],[.35,&quot;rgb(106,137,247)&quot;],[.5,&quot;rgb(190,190,190)&quot;],[.6,&quot;rgb(220,170,132)&quot;],[.7,&quot;rgb(230,145,90)&quot;],[1,&quot;rgb(178,10,28)&quot;]],Reds:[[0,&quot;rgb(220,220,220)&quot;],[.2,&quot;rgb(245,195,157)&quot;],[.4,&quot;rgb(245,160,105)&quot;],[1,&quot;rgb(178,10,28)&quot;]],Blues:[[0,&quot;rgb(5,10,172)&quot;],[.35,&quot;rgb(40,60,190)&quot;],[.5,&quot;rgb(70,100,245)&quot;],[.6,&quot;rgb(90,120,245)&quot;],[.7,&quot;rgb(106,137,247)&quot;],[1,&quot;rgb(220,220,220)&quot;]],Picnic:[[0,&quot;rgb(0,0,255)&quot;],[.1,&quot;rgb(51,153,255)&quot;],[.2,&quot;rgb(102,204,255)&quot;],[.3,&quot;rgb(153,204,255)&quot;],[.4,&quot;rgb(204,204,255)&quot;],[.5,&quot;rgb(255,255,255)&quot;],[.6,&quot;rgb(255,204,255)&quot;],[.7,&quot;rgb(255,153,255)&quot;],[.8,&quot;rgb(255,102,204)&quot;],[.9,&quot;rgb(255,102,102)&quot;],[1,&quot;rgb(255,0,0)&quot;]],Rainbow:[[0,&quot;rgb(150,0,90)&quot;],[.125,&quot;rgb(0,0,200)&quot;],[.25,&quot;rgb(0,25,255)&quot;],[.375,&quot;rgb(0,152,255)&quot;],[.5,&quot;rgb(44,255,150)&quot;],[.625,&quot;rgb(151,255,0)&quot;],[.75,&quot;rgb(255,234,0)&quot;],[.875,&quot;rgb(255,111,0)&quot;],[1,&quot;rgb(255,0,0)&quot;]],Portland:[[0,&quot;rgb(12,51,131)&quot;],[.25,&quot;rgb(10,136,186)&quot;],[.5,&quot;rgb(242,211,56)&quot;],[.75,&quot;rgb(242,143,56)&quot;],[1,&quot;rgb(217,30,30)&quot;]],Jet:[[0,&quot;rgb(0,0,131)&quot;],[.125,&quot;rgb(0,60,170)&quot;],[.375,&quot;rgb(5,255,255)&quot;],[.625,&quot;rgb(255,255,0)&quot;],[.875,&quot;rgb(250,0,0)&quot;],[1,&quot;rgb(128,0,0)&quot;]],Hot:[[0,&quot;rgb(0,0,0)&quot;],[.3,&quot;rgb(230,0,0)&quot;],[.6,&quot;rgb(255,210,0)&quot;],[1,&quot;rgb(255,255,255)&quot;]],Blackbody:[[0,&quot;rgb(0,0,0)&quot;],[.2,&quot;rgb(230,0,0)&quot;],[.4,&quot;rgb(230,210,0)&quot;],[.7,&quot;rgb(255,255,255)&quot;],[1,&quot;rgb(160,200,255)&quot;]],Earth:[[0,&quot;rgb(0,0,130)&quot;],[.1,&quot;rgb(0,180,180)&quot;],[.2,&quot;rgb(40,210,40)&quot;],[.4,&quot;rgb(230,230,50)&quot;],[.6,&quot;rgb(120,70,20)&quot;],[1,&quot;rgb(255,255,255)&quot;]],Electric:[[0,&quot;rgb(0,0,0)&quot;],[.15,&quot;rgb(30,0,100)&quot;],[.4,&quot;rgb(120,0,100)&quot;],[.6,&quot;rgb(160,90,0)&quot;],[.8,&quot;rgb(230,200,0)&quot;],[1,&quot;rgb(255,250,220)&quot;]],Viridis:[[0,&quot;#440154&quot;],[.06274509803921569,&quot;#48186a&quot;],[.12549019607843137,&quot;#472d7b&quot;],[.18823529411764706,&quot;#424086&quot;],[.25098039215686274,&quot;#3b528b&quot;],[.3137254901960784,&quot;#33638d&quot;],[.3764705882352941,&quot;#2c728e&quot;],[.4392156862745098,&quot;#26828e&quot;],[.5019607843137255,&quot;#21918c&quot;],[.5647058823529412,&quot;#1fa088&quot;],[.6274509803921569,&quot;#28ae80&quot;],[.6901960784313725,&quot;#3fbc73&quot;],[.7529411764705882,&quot;#5ec962&quot;],[.8156862745098039,&quot;#84d44b&quot;],[.8784313725490196,&quot;#addc30&quot;],[.9411764705882353,&quot;#d8e219&quot;],[1,&quot;#fde725&quot;]],Cividis:[[0,&quot;rgb(0,32,76)&quot;],[.058824,&quot;rgb(0,42,102)&quot;],[.117647,&quot;rgb(0,52,110)&quot;],[.176471,&quot;rgb(39,63,108)&quot;],[.235294,&quot;rgb(60,74,107)&quot;],[.294118,&quot;rgb(76,85,107)&quot;],[.352941,&quot;rgb(91,95,109)&quot;],[.411765,&quot;rgb(104,106,112)&quot;],[.470588,&quot;rgb(117,117,117)&quot;],[.529412,&quot;rgb(131,129,120)&quot;],[.588235,&quot;rgb(146,140,120)&quot;],[.647059,&quot;rgb(161,152,118)&quot;],[.705882,&quot;rgb(176,165,114)&quot;],[.764706,&quot;rgb(192,177,109)&quot;],[.823529,&quot;rgb(209,191,102)&quot;],[.882353,&quot;rgb(225,204,92)&quot;],[.941176,&quot;rgb(243,219,79)&quot;],[1,&quot;rgb(255,233,69)&quot;]]},a=i.RdBu;function 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n=t(&quot;../../lib&quot;),i=[[&quot;sw-resize&quot;,&quot;s-resize&quot;,&quot;se-resize&quot;],[&quot;w-resize&quot;,&quot;move&quot;,&quot;e-resize&quot;],[&quot;nw-resize&quot;,&quot;n-resize&quot;,&quot;ne-resize&quot;]];e.exports=function(t,e,r,a){return t=&quot;left&quot;===r?0:&quot;center&quot;===r?1:&quot;right&quot;===r?2:n.constrain(Math.floor(3*t),0,2),e=&quot;bottom&quot;===a?0:&quot;middle&quot;===a?1:&quot;top&quot;===a?2:n.constrain(Math.floor(3*e),0,2),i[e][t]}},{&quot;../../lib&quot;:495}],394:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;mouse-event-offset&quot;),i=t(&quot;has-hover&quot;),a=t(&quot;has-passive-events&quot;),o=t(&quot;../../registry&quot;),s=t(&quot;../../lib&quot;),l=t(&quot;../../plots/cartesian/constants&quot;),u=t(&quot;../../constants/interactions&quot;),c=e.exports={};c.align=t(&quot;./align&quot;),c.getCursor=t(&quot;./cursor&quot;);var f=t(&quot;./unhover&quot;);function h(){var 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e=t[0].trace,r=e.error_y||{},a=e.error_x||{},o=n.select(this);o.selectAll(&quot;path.yerror&quot;).style(&quot;stroke-width&quot;,r.thickness+&quot;px&quot;).call(i.stroke,r.color),a.copy_ystyle&amp;&amp;(a=r),o.selectAll(&quot;path.xerror&quot;).style(&quot;stroke-width&quot;,a.thickness+&quot;px&quot;).call(i.stroke,a.color)})}},{&quot;../color&quot;:376,d3:81}],406:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../plots/font_attributes&quot;);e.exports={hoverlabel:{bgcolor:{valType:&quot;color&quot;,arrayOk:!0,editType:&quot;none&quot;},bordercolor:{valType:&quot;color&quot;,arrayOk:!0,editType:&quot;none&quot;},font:n({arrayOk:!0,editType:&quot;none&quot;}),namelength:{valType:&quot;integer&quot;,min:-1,arrayOk:!0,editType:&quot;none&quot;},editType:&quot;calc&quot;}}},{&quot;../../plots/font_attributes&quot;:567}],407:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../registry&quot;);function a(t,e,r,i){i=i||n.identity,Array.isArray(t)&amp;&amp;(e[0][r]=i(t))}e.exports=function(t){var e=t.calcdata,r=t._fullLayout;function o(t){return function(e){return n.coerceHoverinfo({hoverinfo:e},{_module:t._module},r)}}for(var s=0;s&lt;e.length;s++){var l=e[s],u=l[0].trace;if(!i.traceIs(u,&quot;pie&quot;)){var c=i.traceIs(u,&quot;2dMap&quot;)?a:n.fillArray;c(u.hoverinfo,l,&quot;hi&quot;,o(u)),u.hovertemplate&amp;&amp;c(u.hovertemplate,l,&quot;ht&quot;),u.hoverlabel&amp;&amp;(c(u.hoverlabel.bgcolor,l,&quot;hbg&quot;),c(u.hoverlabel.bordercolor,l,&quot;hbc&quot;),c(u.hoverlabel.font.size,l,&quot;hts&quot;),c(u.hoverlabel.font.color,l,&quot;htc&quot;),c(u.hoverlabel.font.family,l,&quot;htf&quot;),c(u.hoverlabel.namelength,l,&quot;hnl&quot;))}}}},{&quot;../../lib&quot;:495,&quot;../../registry&quot;:592}],408:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../registry&quot;),i=t(&quot;./hover&quot;).hover;e.exports=function(t,e,r){var a=n.getComponentMethod(&quot;annotations&quot;,&quot;onClick&quot;)(t,t._hoverdata);function o(){t.emit(&quot;plotly_click&quot;,{points:t._hoverdata,event:e})}void 0!==r&amp;&amp;i(t,e,r,!0),t._hoverdata&amp;&amp;e&amp;&amp;e.target&amp;&amp;(a&amp;&amp;a.then?a.then(o):o(),e.stopImmediatePropagation&amp;&amp;e.stopImmediatePropagation())}},{&quot;../../registry&quot;:592,&quot;./hover&quot;:412}],409:[function(t,e,r){&quot;use strict&quot;;e.exports={YANGLE:60,HOVERARROWSIZE:6,HOVERTEXTPAD:3,HOVERFONTSIZE:13,HOVERFONT:&quot;Arial, sans-serif&quot;,HOVERMINTIME:50,HOVERID:&quot;-hover&quot;}},{}],410:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;./attributes&quot;),a=t(&quot;./hoverlabel_defaults&quot;);e.exports=function(t,e,r,o){a(t,e,function(r,a){return n.coerce(t,e,i,r,a)},o.hoverlabel)}},{&quot;../../lib&quot;:495,&quot;./attributes&quot;:406,&quot;./hoverlabel_defaults&quot;:413}],411:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;);r.getSubplot=function(t){return t.subplot||t.xaxis+t.yaxis||t.geo},r.isTraceInSubplots=function(t,e){if(&quot;splom&quot;===t.type){for(var n=t.xaxes||[],i=t.yaxes||[],a=0;a&lt;n.length;a++)for(var o=0;o&lt;i.length;o++)if(-1!==e.indexOf(n[a]+i[o]))return!0;return!1}return-1!==e.indexOf(r.getSubplot(t))},r.flat=function(t,e){for(var r=new Array(t.length),n=0;n&lt;t.length;n++)r[n]=e;return r},r.p2c=function(t,e){for(var r=new Array(t.length),n=0;n&lt;t.length;n++)r[n]=t[n].p2c(e);return r},r.getDistanceFunction=function(t,e,n,i){return&quot;closest&quot;===t?i||r.quadrature(e,n):&quot;x&quot;===t?e:n},r.getClosest=function(t,e,r){if(!1!==r.index)r.index&gt;=0&amp;&amp;r.index&lt;t.length?r.distance=0:r.index=!1;else for(var n=0;n&lt;t.length;n++){var i=e(t[n]);i&lt;=r.distance&amp;&amp;(r.index=n,r.distance=i)}return r},r.inbox=function(t,e,r){return t*e&lt;0||0===t?r:1/0},r.quadrature=function(t,e){return function(r){var n=t(r),i=e(r);return 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c=n.nestedProperty(e,l).get(),f=new Array(r.length),h=0;h&lt;r.length;h++)f[h]=o(c,r[h]);t[u]=f}}};var i={ids:&quot;id&quot;,locations:&quot;location&quot;,labels:&quot;label&quot;,values:&quot;value&quot;,&quot;marker.colors&quot;:&quot;color&quot;,parents:&quot;parent&quot;};function a(t){return i[t]||t}function o(t,e){return Array.isArray(e)?Array.isArray(t)&amp;&amp;Array.isArray(t[e[0]])?t[e[0]][e[1]]:void 0:t[e]}},{&quot;../../lib&quot;:495}],412:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;fast-isnumeric&quot;),a=t(&quot;tinycolor2&quot;),o=t(&quot;../../lib&quot;),s=t(&quot;../../lib/events&quot;),l=t(&quot;../../lib/svg_text_utils&quot;),u=t(&quot;../../lib/override_cursor&quot;),c=t(&quot;../drawing&quot;),f=t(&quot;../color&quot;),h=t(&quot;../dragelement&quot;),d=t(&quot;../../plots/cartesian/axes&quot;),p=t(&quot;../../registry&quot;),g=t(&quot;./helpers&quot;),v=t(&quot;./constants&quot;),m=v.YANGLE,y=Math.PI*m/180,b=1/Math.sin(y),x=Math.cos(y),_=Math.sin(y),w=v.HOVERARROWSIZE,A=v.HOVERTEXTPAD;r.hover=function(t,e,r,a){t=o.getGraphDiv(t),o.throttle(t._fullLayout._uid+v.HOVERID,v.HOVERMINTIME,function(){!function(t,e,r,a){r||(r=&quot;xy&quot;);var l=Array.isArray(r)?r:[r],c=t._fullLayout,v=c._plots||[],m=v[r],y=c._has(&quot;cartesian&quot;);if(m){var x=m.overlays.map(function(t){return t.id});l=l.concat(x)}for(var _=l.length,w=new Array(_),A=new Array(_),M=!1,C=0;C&lt;_;C++){var O=l[C],R=v[O];if(R)M=!0,w[C]=d.getFromId(t,R.xaxis._id),A[C]=d.getFromId(t,R.yaxis._id);else{var P=c[O]._subplot;w[C]=P.xaxis,A[C]=P.yaxis}}var z=e.hovermode||c.hovermode;z&amp;&amp;!M&amp;&amp;(z=&quot;closest&quot;);if(-1===[&quot;x&quot;,&quot;y&quot;,&quot;closest&quot;].indexOf(z)||!t.calcdata||t.querySelector(&quot;.zoombox&quot;)||t._dragging)return h.unhoverRaw(t,e);var I,N,D,F,j,B,U,V,H,q,G,X,W,Y=-1===c.hoverdistance?1/0:c.hoverdistance,Z=-1===c.spikedistance?1/0:c.spikedistance,Q=[],$=[],J={hLinePoint:null,vLinePoint:null},K=!1;if(Array.isArray(e))for(z=&quot;array&quot;,D=0;D&lt;e.length;D++)(j=t.calcdata[e[D].curveNumber||0])&amp;&amp;(B=j[0].trace,&quot;skip&quot;!==j[0].trace.hoverinfo&amp;&amp;($.push(j),&quot;h&quot;===B.orientation&amp;&amp;(K=!0)));else{for(F=0;F&lt;t.calcdata.length;F++)j=t.calcdata[F],&quot;skip&quot;!==(B=j[0].trace).hoverinfo&amp;&amp;g.isTraceInSubplots(B,l)&amp;&amp;($.push(j),&quot;h&quot;===B.orientation&amp;&amp;(K=!0));var tt,et,rt=!e.target;if(rt)tt=&quot;xpx&quot;in e?e.xpx:w[0]._length/2,et=&quot;ypx&quot;in e?e.ypx:A[0]._length/2;else{if(!1===s.triggerHandler(t,&quot;plotly_beforehover&quot;,e))return;var nt=e.target.getBoundingClientRect();if(tt=e.clientX-nt.left,et=e.clientY-nt.top,tt&lt;0||tt&gt;w[0]._length||et&lt;0||et&gt;A[0]._length)return h.unhoverRaw(t,e)}if(e.pointerX=tt+w[0]._offset,e.pointerY=et+A[0]._offset,I=&quot;xval&quot;in e?g.flat(l,e.xval):g.p2c(w,tt),N=&quot;yval&quot;in e?g.flat(l,e.yval):g.p2c(A,et),!i(I[0])||!i(N[0]))return o.warn(&quot;Fx.hover failed&quot;,e,t),h.unhoverRaw(t,e)}var it=1/0;for(F=0;F&lt;$.length;F++)if((j=$[F])&amp;&amp;j[0]&amp;&amp;j[0].trace&amp;&amp;!0===j[0].trace.visible&amp;&amp;(B=j[0].trace,-1===[&quot;carpet&quot;,&quot;contourcarpet&quot;].indexOf(B._module.name))){if(&quot;splom&quot;===B.type?U=l[V=0]:(U=g.getSubplot(B),V=l.indexOf(U)),H=z,X={cd:j,trace:B,xa:w[V],ya:A[V],maxHoverDistance:Y,maxSpikeDistance:Z,index:!1,distance:Math.min(it,Y),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:f.defaultLine,name:B.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},c[U]&amp;&amp;(X.subplot=c[U]._subplot),c._splomScenes&amp;&amp;c._splomScenes[B.uid]&amp;&amp;(X.scene=c._splomScenes[B.uid]),W=Q.length,&quot;array&quot;===H){var at=e[F];&quot;pointNumber&quot;in at?(X.index=at.pointNumber,H=&quot;closest&quot;):(H=&quot;&quot;,&quot;xval&quot;in at&amp;&amp;(q=at.xval,H=&quot;x&quot;),&quot;yval&quot;in at&amp;&amp;(G=at.yval,H=H?&quot;closest&quot;:&quot;y&quot;))}else q=I[V],G=N[V];if(0!==Y)if(B._module&amp;&amp;B._module.hoverPoints){var ot=B._module.hoverPoints(X,q,G,H,c._hoverlayer);if(ot)for(var st,lt=0;lt&lt;ot.length;lt++)st=ot[lt],i(st.x0)&amp;&amp;i(st.y0)&amp;&amp;Q.push(E(st,z))}else o.log(&quot;Unrecognized trace type in hover:&quot;,B);if(&quot;closest&quot;===z&amp;&amp;Q.length&gt;W&amp;&amp;(Q.splice(0,W),it=Q[0].distance),y&amp;&amp;0!==Z&amp;&amp;0===Q.length){X.distance=Z,X.index=!1;var ut=B._module.hoverPoints(X,q,G,&quot;closest&quot;,c._hoverlayer);if(ut&amp;&amp;(ut=ut.filter(function(t){return t.spikeDistance&lt;=Z})),ut&amp;&amp;ut.length){var ct,ft=ut.filter(function(t){return t.xa.showspikes});if(ft.length){var ht=ft[0];i(ht.x0)&amp;&amp;i(ht.y0)&amp;&amp;(ct=vt(ht),(!J.vLinePoint||J.vLinePoint.spikeDistance&gt;ct.spikeDistance)&amp;&amp;(J.vLinePoint=ct))}var dt=ut.filter(function(t){return t.ya.showspikes});if(dt.length){var pt=dt[0];i(pt.x0)&amp;&amp;i(pt.y0)&amp;&amp;(ct=vt(pt),(!J.hLinePoint||J.hLinePoint.spikeDistance&gt;ct.spikeDistance)&amp;&amp;(J.hLinePoint=ct))}}}}function gt(t,e){for(var r,n=null,i=1/0,a=0;a&lt;t.length;a++)(r=t[a].spikeDistance)&lt;i&amp;&amp;r&lt;=e&amp;&amp;(n=t[a],i=r);return n}function vt(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}var mt={fullLayout:c,container:c._hoverlayer,outerContainer:c._paperdiv,event:e},yt=t._spikepoints,bt={vLinePoint:J.vLinePoint,hLinePoint:J.hLinePoint};if(t._spikepoints=bt,y&amp;&amp;0!==Z&amp;&amp;0!==Q.length){var xt=Q.filter(function(t){return t.ya.showspikes}),_t=gt(xt,Z);J.hLinePoint=vt(_t);var wt=Q.filter(function(t){return t.xa.showspikes}),At=gt(wt,Z);J.vLinePoint=vt(At)}if(0===Q.length){var Mt=h.unhoverRaw(t,e);return!y||null===J.hLinePoint&amp;&amp;null===J.vLinePoint||S(yt)&amp;&amp;L(J,mt),Mt}y&amp;&amp;S(yt)&amp;&amp;L(J,mt);Q.sort(function(t,e){return t.distance-e.distance});var Tt=t._hoverdata,kt=[];for(D=0;D&lt;Q.length;D++){var Et=Q[D],Lt=g.makeEventData(Et,Et.trace,Et.cd);if(!1!==Et.hovertemplate){var St=!1;Et.cd[Et.index]&amp;&amp;Et.cd[Et.index].ht&amp;&amp;(St=Et.cd[Et.index].ht),Et.hovertemplate=St||Et.trace.hovertemplate||!1}Et.eventData=[Lt],kt.push(Lt)}t._hoverdata=kt;var Ct=&quot;y&quot;===z&amp;&amp;($.length&gt;1||Q.length&gt;1)||&quot;closest&quot;===z&amp;&amp;K&amp;&amp;Q.length&gt;1,Ot=f.combine(c.plot_bgcolor||f.background,c.paper_bgcolor),Rt={hovermode:z,rotateLabels:Ct,bgColor:Ot,container:c._hoverlayer,outerContainer:c._paperdiv,commonLabelOpts:c.hoverlabel,hoverdistance:c.hoverdistance},Pt=T(Q,Rt,t);if(function(t,e,r){var n,i,a,o,s,l,u,c=0,f=1,h=t.size(),d=new Array(h);function p(t){var 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t[0].posref-e[0].posref||f*(e[0].traceIndex-t[0].traceIndex)});!n&amp;&amp;c&lt;=h;){for(c++,n=!0,o=0;o&lt;d.length-1;){var g=d[o],v=d[o+1],m=g[g.length-1],y=v[0];if((i=m.pos+m.dp+m.size-y.pos-y.dp+y.size)&gt;.01&amp;&amp;m.pmin===y.pmin&amp;&amp;m.pmax===y.pmax){for(s=v.length-1;s&gt;=0;s--)v[s].dp+=i;for(g.push.apply(g,v),d.splice(o+1,1),u=0,s=g.length-1;s&gt;=0;s--)u+=g[s].dp;for(a=u/g.length,s=g.length-1;s&gt;=0;s--)g[s].dp-=a;n=!1}else o++}d.forEach(p)}for(o=d.length-1;o&gt;=0;o--){var x=d[o];for(s=x.length-1;s&gt;=0;s--){var _=x[s],w=_.datum;w.offset=_.dp,w.del=_.del}}}(Pt,Ct?&quot;xa&quot;:&quot;ya&quot;,c),k(Pt,Ct),e.target&amp;&amp;e.target.tagName){var zt=p.getComponentMethod(&quot;annotations&quot;,&quot;hasClickToShow&quot;)(t,kt);u(n.select(e.target),zt?&quot;pointer&quot;:&quot;&quot;)}if(!e.target||a||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n&gt;=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Tt))return;Tt&amp;&amp;t.emit(&quot;plotly_unhover&quot;,{event:e,points:Tt});t.emit(&quot;plotly_hover&quot;,{event:e,points:t._hoverdata,xaxes:w,yaxes:A,xvals:I,yvals:N})}(t,e,r,a)})},r.loneHover=function(t,e){var r={color:t.color||f.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,trace:t.trace||{index:0,hoverinfo:&quot;&quot;},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,eventData:t.eventData||!1,hovertemplateLabels:t.hovertemplateLabels||!1},i=n.select(e.container),a=e.outerContainer?n.select(e.outerContainer):i,o={hovermode:&quot;closest&quot;,rotateLabels:!1,bgColor:e.bgColor||f.background,container:i,outerContainer:a},s=T([r],o,e.gd);return k(s,o.rotateLabels),s.node()},r.multiHovers=function(t,e){Array.isArray(t)||(t=[t]);var 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i=r._fullLayout,a=e.hovermode,s=e.rotateLabels,u=e.bgColor,h=e.container,d=e.outerContainer,p=e.commonLabelOpts||{},g=e.fontFamily||v.HOVERFONT,y=e.fontSize||v.HOVERFONTSIZE,b=t[0],x=b.xa,_=b.ya,T=&quot;y&quot;===a?&quot;yLabel&quot;:&quot;xLabel&quot;,k=b[T],E=(String(k)||&quot;&quot;).split(&quot; &quot;)[0],L=d.node().getBoundingClientRect(),S=L.top,C=L.width,O=L.height,R=void 0!==k&amp;&amp;b.distance&lt;=e.hoverdistance&amp;&amp;(&quot;x&quot;===a||&quot;y&quot;===a);if(R){var P,z,I=!0;for(P=0;P&lt;t.length;P++)if(I&amp;&amp;void 0===t[P].zLabel&amp;&amp;(I=!1),z=t[P].hoverinfo||t[P].trace.hoverinfo){var N=Array.isArray(z)?z:z.split(&quot;+&quot;);if(-1===N.indexOf(&quot;all&quot;)&amp;&amp;-1===N.indexOf(a)){R=!1;break}}I&amp;&amp;(R=!1)}var D=h.selectAll(&quot;g.axistext&quot;).data(R?[0]:[]);D.enter().append(&quot;g&quot;).classed(&quot;axistext&quot;,!0),D.exit().remove(),D.each(function(){var 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t=n.select(this);t.append(&quot;rect&quot;).call(f.fill,f.addOpacity(u,.8)),t.append(&quot;text&quot;).classed(&quot;name&quot;,!0),t.append(&quot;path&quot;).style(&quot;stroke-width&quot;,&quot;1px&quot;),t.append(&quot;text&quot;).classed(&quot;nums&quot;,!0).call(c.font,g,y)}),F.exit().remove(),F.each(function(t){var e=n.select(this).attr(&quot;transform&quot;,&quot;&quot;),h=&quot;&quot;,d=&quot;&quot;,p=t.bgcolor||t.color,v=f.combine(f.opacity(p)?p:f.defaultLine,u),b=f.combine(f.opacity(t.color)?t.color:f.defaultLine,u),x=t.borderColor||f.contrast(v);void 0!==t.nameOverride&amp;&amp;(t.name=t.nameOverride),t.name&amp;&amp;(i.meta&amp;&amp;(t.name=o.templateString(t.name,{meta:i.meta})),h=l.plainText(t.name||&quot;&quot;,{len:t.nameLength,allowedTags:[&quot;br&quot;,&quot;sub&quot;,&quot;sup&quot;,&quot;b&quot;,&quot;i&quot;,&quot;em&quot;]})),void 0!==t.zLabel?(void 0!==t.xLabel&amp;&amp;(d+=&quot;x: &quot;+t.xLabel+&quot;&lt;br&gt;&quot;),void 0!==t.yLabel&amp;&amp;(d+=&quot;y: 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r=t.index,n=t.trace||{},i=t.cd[0],a=t.cd[r]||{},s=Array.isArray(r)?function(t,e){return o.castOption(i,r,t)||o.extractOption({},n,&quot;&quot;,e)}:function(t,e){return o.extractOption(a,n,t,e)};function l(e,r,n){var 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0!==t.yLabelVal&amp;&amp;(t.yLabel=&quot;yLabel&quot;in t?t.yLabel:d.hoverLabelText(t.ya,t.yLabelVal),t.yVal=t.ya.c2d(t.yLabelVal)),void 0!==t.zLabelVal&amp;&amp;void 0===t.zLabel&amp;&amp;(t.zLabel=String(t.zLabelVal)),!(isNaN(t.xerr)||&quot;log&quot;===t.xa.type&amp;&amp;t.xerr&lt;=0)){var u=d.tickText(t.xa,t.xa.c2l(t.xerr),&quot;hover&quot;).text;void 0!==t.xerrneg?t.xLabel+=&quot; +&quot;+u+&quot; / -&quot;+d.tickText(t.xa,t.xa.c2l(t.xerrneg),&quot;hover&quot;).text:t.xLabel+=&quot; \\xb1 &quot;+u,&quot;x&quot;===e&amp;&amp;(t.distance+=1)}if(!(isNaN(t.yerr)||&quot;log&quot;===t.ya.type&amp;&amp;t.yerr&lt;=0)){var c=d.tickText(t.ya,t.ya.c2l(t.yerr),&quot;hover&quot;).text;void 0!==t.yerrneg?t.yLabel+=&quot; +&quot;+c+&quot; / -&quot;+d.tickText(t.ya,t.ya.c2l(t.yerrneg),&quot;hover&quot;).text:t.yLabel+=&quot; \\xb1 &quot;+c,&quot;y&quot;===e&amp;&amp;(t.distance+=1)}var f=t.hoverinfo||t.trace.hoverinfo;return f&amp;&amp;&quot;all&quot;!==f&amp;&amp;(-1===(f=Array.isArray(f)?f:f.split(&quot;+&quot;)).indexOf(&quot;x&quot;)&amp;&amp;(t.xLabel=void 0),-1===f.indexOf(&quot;y&quot;)&amp;&amp;(t.yLabel=void 0),-1===f.indexOf(&quot;z&quot;)&amp;&amp;(t.zLabel=void 0),-1===f.indexOf(&quot;text&quot;)&amp;&amp;(t.text=void 0),-1===f.indexOf(&quot;name&quot;)&amp;&amp;(t.name=void 0)),t}function L(t,e){var r,n,i=e.container,o=e.fullLayout,s=e.event,l=!!t.hLinePoint,u=!!t.vLinePoint;if(i.selectAll(&quot;.spikeline&quot;).remove(),u||l){var h=f.combine(o.plot_bgcolor,o.paper_bgcolor);if(l){var d,p,g=t.hLinePoint;r=g&amp;&amp;g.xa,&quot;cursor&quot;===(n=g&amp;&amp;g.ya).spikesnap?(d=s.pointerX,p=s.pointerY):(d=r._offset+g.x,p=n._offset+g.y);var v,m,y=a.readability(g.color,h)&lt;1.5?f.contrast(h):g.color,b=n.spikemode,x=n.spikethickness,_=n.spikecolor||y,w=n._boundingBox,A=(w.left+w.right)/2&lt;d?w.right:w.left;-1===b.indexOf(&quot;toaxis&quot;)&amp;&amp;-1===b.indexOf(&quot;across&quot;)||(-1!==b.indexOf(&quot;toaxis&quot;)&amp;&amp;(v=A,m=d),-1!==b.indexOf(&quot;across&quot;)&amp;&amp;(v=n._counterSpan[0],m=n._counterSpan[1]),i.insert(&quot;line&quot;,&quot;:first-child&quot;).attr({x1:v,x2:m,y1:p,y2:p,&quot;stroke-width&quot;:x,stroke:_,&quot;stroke-dasharray&quot;:c.dashStyle(n.spikedash,x)}).classed(&quot;spikeline&quot;,!0).classed(&quot;crisp&quot;,!0),i.insert(&quot;line&quot;,&quot;:first-child&quot;).attr({x1:v,x2:m,y1:p,y2:p,&quot;stroke-width&quot;:x+2,stroke:h}).classed(&quot;spikeline&quot;,!0).classed(&quot;crisp&quot;,!0)),-1!==b.indexOf(&quot;marker&quot;)&amp;&amp;i.insert(&quot;circle&quot;,&quot;:first-child&quot;).attr({cx:A+(&quot;right&quot;!==n.side?x:-x),cy:p,r:x,fill:_}).classed(&quot;spikeline&quot;,!0)}if(u){var M,T,k=t.vLinePoint;r=k&amp;&amp;k.xa,n=k&amp;&amp;k.ya,&quot;cursor&quot;===r.spikesnap?(M=s.pointerX,T=s.pointerY):(M=r._offset+k.x,T=n._offset+k.y);var E,L,S=a.readability(k.color,h)&lt;1.5?f.contrast(h):k.color,C=r.spikemode,O=r.spikethickness,R=r.spikecolor||S,P=r._boundingBox,z=(P.top+P.bottom)/2&lt;T?P.bottom:P.top;-1===C.indexOf(&quot;toaxis&quot;)&amp;&amp;-1===C.indexOf(&quot;across&quot;)||(-1!==C.indexOf(&quot;toaxis&quot;)&amp;&amp;(E=z,L=T),-1!==C.indexOf(&quot;across&quot;)&amp;&amp;(E=r._counterSpan[0],L=r._counterSpan[1]),i.insert(&quot;line&quot;,&quot;:first-child&quot;).attr({x1:M,x2:M,y1:E,y2:L,&quot;stroke-width&quot;:O,stroke:R,&quot;stroke-dasharray&quot;:c.dashStyle(r.spikedash,O)}).classed(&quot;spikeline&quot;,!0).classed(&quot;crisp&quot;,!0),i.insert(&quot;line&quot;,&quot;:first-child&quot;).attr({x1:M,x2:M,y1:E,y2:L,&quot;stroke-width&quot;:O+2,stroke:h}).classed(&quot;spikeline&quot;,!0).classed(&quot;crisp&quot;,!0)),-1!==C.indexOf(&quot;marker&quot;)&amp;&amp;i.insert(&quot;circle&quot;,&quot;:first-child&quot;).attr({cx:M,cy:z-(&quot;top&quot;!==r.side?O:-O),r:O,fill:R}).classed(&quot;spikeline&quot;,!0)}}}function S(t,e){return!e||(e.vLinePoint!==t._spikepoints.vLinePoint||e.hLinePoint!==t._spikepoints.hLinePoint)}},{&quot;../../lib&quot;:495,&quot;../../lib/events&quot;:487,&quot;../../lib/override_cursor&quot;:506,&quot;../../lib/svg_text_utils&quot;:518,&quot;../../plots/cartesian/axes&quot;:541,&quot;../../registry&quot;:592,&quot;../color&quot;:376,&quot;../dragelement&quot;:394,&quot;../drawing&quot;:397,&quot;./constants&quot;:409,&quot;./helpers&quot;:411,d3:81,&quot;fast-isnumeric&quot;:90,tinycolor2:342}],413:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;);e.exports=function(t,e,r,i){r(&quot;hoverlabel.bgcolor&quot;,(i=i||{}).bgcolor),r(&quot;hoverlabel.bordercolor&quot;,i.bordercolor),r(&quot;hoverlabel.namelength&quot;,i.namelength),n.coerceFont(r,&quot;hoverlabel.font&quot;,i.font)}},{&quot;../../lib&quot;:495}],414:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e){t=t||{};(e=e||{}).description&amp;&amp;e.description;var r=e.keys||[];if(r.length&gt;0){for(var n=[],i=0;i&lt;r.length;i++)n[i]=&quot;`&quot;+r[i]+&quot;`&quot;;&quot;Finally, the template string has access to &quot;,1===r.length?&quot;variable &quot;+n[0]:&quot;variables &quot;+n.slice(0,-1).join(&quot;, &quot;)+&quot; and &quot;+n.slice(-1)+&quot;.&quot;}var a={valType:&quot;string&quot;,dflt:&quot;&quot;,editType:t.editType||&quot;none&quot;};return!1!==t.arrayOk&amp;&amp;(a.arrayOk=!0),a}},{}],415:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;../../lib&quot;),a=t(&quot;../dragelement&quot;),o=t(&quot;./helpers&quot;),s=t(&quot;./layout_attributes&quot;),l=t(&quot;./hover&quot;);e.exports={moduleType:&quot;component&quot;,name:&quot;fx&quot;,constants:t(&quot;./constants&quot;),schema:{layout:s},attributes:t(&quot;./attributes&quot;),layoutAttributes:s,supplyLayoutGlobalDefaults:t(&quot;./layout_global_defaults&quot;),supplyDefaults:t(&quot;./defaults&quot;),supplyLayoutDefaults:t(&quot;./layout_defaults&quot;),calc:t(&quot;./calc&quot;),getDistanceFunction:o.getDistanceFunction,getClosest:o.getClosest,inbox:o.inbox,quadrature:o.quadrature,appendArrayPointValue:o.appendArrayPointValue,castHoverOption:function(t,e,r){return i.castOption(t,e,&quot;hoverlabel.&quot;+r)},castHoverinfo:function(t,e,r){return i.castOption(t,r,&quot;hoverinfo&quot;,function(r){return i.coerceHoverinfo({hoverinfo:r},{_module:t._module},e)})},hover:l.hover,unhover:a.unhover,loneHover:l.loneHover,multiHovers:l.multiHovers,loneUnhover:function(t){var e=i.isD3Selection(t)?t:n.select(t);e.selectAll(&quot;g.hovertext&quot;).remove(),e.selectAll(&quot;.spikeline&quot;).remove()},click:t(&quot;./click&quot;)}},{&quot;../../lib&quot;:495,&quot;../dragelement&quot;:394,&quot;./attributes&quot;:406,&quot;./calc&quot;:407,&quot;./click&quot;:408,&quot;./constants&quot;:409,&quot;./defaults&quot;:410,&quot;./helpers&quot;:411,&quot;./hover&quot;:412,&quot;./layout_attributes&quot;:416,&quot;./layout_defaults&quot;:417,&quot;./layout_global_defaults&quot;:418,d3:81}],416:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./constants&quot;),i=t(&quot;../../plots/font_attributes&quot;)({editType:&quot;none&quot;});i.family.dflt=n.HOVERFONT,i.size.dflt=n.HOVERFONTSIZE,e.exports={clickmode:{valType:&quot;flaglist&quot;,flags:[&quot;event&quot;,&quot;select&quot;],dflt:&quot;event&quot;,editType:&quot;plot&quot;,extras:[&quot;none&quot;]},dragmode:{valType:&quot;enumerated&quot;,values:[&quot;zoom&quot;,&quot;pan&quot;,&quot;select&quot;,&quot;lasso&quot;,&quot;orbit&quot;,&quot;turntable&quot;,!1],dflt:&quot;zoom&quot;,editType:&quot;modebar&quot;},hovermode:{valType:&quot;enumerated&quot;,values:[&quot;x&quot;,&quot;y&quot;,&quot;closest&quot;,!1],editType:&quot;modebar&quot;},hoverdistance:{valType:&quot;integer&quot;,min:-1,dflt:20,editType:&quot;none&quot;},spikedistance:{valType:&quot;integer&quot;,min:-1,dflt:20,editType:&quot;none&quot;},hoverlabel:{bgcolor:{valType:&quot;color&quot;,editType:&quot;none&quot;},bordercolor:{valType:&quot;color&quot;,editType:&quot;none&quot;},font:i,namelength:{valType:&quot;integer&quot;,min:-1,dflt:15,editType:&quot;none&quot;},editType:&quot;none&quot;},selectdirection:{valType:&quot;enumerated&quot;,values:[&quot;h&quot;,&quot;v&quot;,&quot;d&quot;,&quot;any&quot;],dflt:&quot;any&quot;,editType:&quot;none&quot;}}},{&quot;../../plots/font_attributes&quot;:567,&quot;./constants&quot;:409}],417:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;./layout_attributes&quot;);e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}var o,s=a(&quot;clickmode&quot;);&quot;select&quot;===a(&quot;dragmode&quot;)&amp;&amp;a(&quot;selectdirection&quot;),e._has(&quot;cartesian&quot;)?s.indexOf(&quot;select&quot;)&gt;-1?o=&quot;closest&quot;:(e._isHoriz=function(t,e){for(var r=e._scatterStackOpts||{},n=0;n&lt;t.length;n++){var i=t[n],a=i.xaxis+i.yaxis,o=r[a]||{},s=o[i.stackgroup]||{};if(&quot;h&quot;!==i.orientation&amp;&amp;&quot;h&quot;!==s.orientation)return!1}return!0}(r,e),o=e._isHoriz?&quot;y&quot;:&quot;x&quot;):o=&quot;closest&quot;,a(&quot;hovermode&quot;,o)&amp;&amp;(a(&quot;hoverdistance&quot;),a(&quot;spikedistance&quot;));var l=e._has(&quot;mapbox&quot;),u=e._has(&quot;geo&quot;),c=e._basePlotModules.length;&quot;zoom&quot;===e.dragmode&amp;&amp;((l||u)&amp;&amp;1===c||l&amp;&amp;u&amp;&amp;2===c)&amp;&amp;(e.dragmode=&quot;pan&quot;)}},{&quot;../../lib&quot;:495,&quot;./layout_attributes&quot;:416}],418:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;./hoverlabel_defaults&quot;),a=t(&quot;./layout_attributes&quot;);e.exports=function(t,e){i(t,e,function(r,i){return n.coerce(t,e,a,r,i)})}},{&quot;../../lib&quot;:495,&quot;./hoverlabel_defaults&quot;:413,&quot;./layout_attributes&quot;:416}],419:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../lib/regex&quot;).counter,a=t(&quot;../../plots/domain&quot;).attributes,o=t(&quot;../../plots/cartesian/constants&quot;).idRegex,s=t(&quot;../../plot_api/plot_template&quot;),l={rows:{valType:&quot;integer&quot;,min:1,editType:&quot;plot&quot;},roworder:{valType:&quot;enumerated&quot;,values:[&quot;top to bottom&quot;,&quot;bottom to top&quot;],dflt:&quot;top to bottom&quot;,editType:&quot;plot&quot;},columns:{valType:&quot;integer&quot;,min:1,editType:&quot;plot&quot;},subplots:{valType:&quot;info_array&quot;,freeLength:!0,dimensions:2,items:{valType:&quot;enumerated&quot;,values:[i(&quot;xy&quot;).toString(),&quot;&quot;],editType:&quot;plot&quot;},editType:&quot;plot&quot;},xaxes:{valType:&quot;info_array&quot;,freeLength:!0,items:{valType:&quot;enumerated&quot;,values:[o.x.toString(),&quot;&quot;],editType:&quot;plot&quot;},editType:&quot;plot&quot;},yaxes:{valType:&quot;info_array&quot;,freeLength:!0,items:{valType:&quot;enumerated&quot;,values:[o.y.toString(),&quot;&quot;],editType:&quot;plot&quot;},editType:&quot;plot&quot;},pattern:{valType:&quot;enumerated&quot;,values:[&quot;independent&quot;,&quot;coupled&quot;],dflt:&quot;coupled&quot;,editType:&quot;plot&quot;},xgap:{valType:&quot;number&quot;,min:0,max:1,editType:&quot;plot&quot;},ygap:{valType:&quot;number&quot;,min:0,max:1,editType:&quot;plot&quot;},domain:a({name:&quot;grid&quot;,editType:&quot;plot&quot;,noGridCell:!0},{}),xside:{valType:&quot;enumerated&quot;,values:[&quot;bottom&quot;,&quot;bottom plot&quot;,&quot;top plot&quot;,&quot;top&quot;],dflt:&quot;bottom plot&quot;,editType:&quot;plot&quot;},yside:{valType:&quot;enumerated&quot;,values:[&quot;left&quot;,&quot;left plot&quot;,&quot;right plot&quot;,&quot;right&quot;],dflt:&quot;left plot&quot;,editType:&quot;plot&quot;},editType:&quot;plot&quot;};function u(t,e,r){var n=e[r+&quot;axes&quot;],i=Object.keys((t._splomAxes||{})[r]||{});return Array.isArray(n)?n:i.length?i:void 0}function c(t,e,r,n,i,a){var o=e(t+&quot;gap&quot;,r),s=e(&quot;domain.&quot;+t);e(t+&quot;side&quot;,n);for(var l=new Array(i),u=s[0],c=(s[1]-u)/(i-o),f=c*(1-o),h=0;h&lt;i;h++){var d=u+c*h;l[a?i-1-h:h]=[d,d+f]}return l}function f(t,e,r,n,i){var a,o=new Array(r);function s(t,r){-1!==e.indexOf(r)&amp;&amp;void 0===n[r]?(o[t]=r,n[r]=t):o[t]=&quot;&quot;}if(Array.isArray(t))for(a=0;a&lt;r;a++)s(a,t[a]);else for(s(0,i),a=1;a&lt;r;a++)s(a,i+(a+1));return o}e.exports={moduleType:&quot;component&quot;,name:&quot;grid&quot;,schema:{layout:{grid:l}},layoutAttributes:l,sizeDefaults:function(t,e){var r=t.grid||{},i=u(e,r,&quot;x&quot;),a=u(e,r,&quot;y&quot;);if(t.grid||i||a){var o,f,h=Array.isArray(r.subplots)&amp;&amp;Array.isArray(r.subplots[0]),d=Array.isArray(i),p=Array.isArray(a),g=d&amp;&amp;i!==r.xaxes&amp;&amp;p&amp;&amp;a!==r.yaxes;h?(o=r.subplots.length,f=r.subplots[0].length):(p&amp;&amp;(o=a.length),d&amp;&amp;(f=i.length));var v=s.newContainer(e,&quot;grid&quot;),m=M(&quot;rows&quot;,o),y=M(&quot;columns&quot;,f);if(m*y&gt;1){h||d||p||&quot;independent&quot;===M(&quot;pattern&quot;)&amp;&amp;(h=!0),v._hasSubplotGrid=h;var b,x,_=&quot;top to bottom&quot;===M(&quot;roworder&quot;),w=h?.2:.1,A=h?.3:.1;g&amp;&amp;e._splomGridDflt&amp;&amp;(b=e._splomGridDflt.xside,x=e._splomGridDflt.yside),v._domains={x:c(&quot;x&quot;,M,w,b,y),y:c(&quot;y&quot;,M,A,x,m,_)}}else delete e.grid}function M(t,e){return n.coerce(r,v,l,t,e)}},contentDefaults:function(t,e){var r=e.grid;if(r&amp;&amp;r._domains){var n,i,a,o,s,l,c,h=t.grid||{},d=e._subplots,p=r._hasSubplotGrid,g=r.rows,v=r.columns,m=&quot;independent&quot;===r.pattern,y=r._axisMap={};if(p){var b=h.subplots||[];l=r.subplots=new Array(g);var x=1;for(n=0;n&lt;g;n++){var _=l[n]=new Array(v),w=b[n]||[];for(i=0;i&lt;v;i++)if(m?(s=1===x?&quot;xy&quot;:&quot;x&quot;+x+&quot;y&quot;+x,x++):s=w[i],_[i]=&quot;&quot;,-1!==d.cartesian.indexOf(s)){if(c=s.indexOf(&quot;y&quot;),a=s.slice(0,c),o=s.slice(c),void 0!==y[a]&amp;&amp;y[a]!==i||void 0!==y[o]&amp;&amp;y[o]!==n)continue;_[i]=s,y[a]=i,y[o]=n}}}else{var A=u(e,h,&quot;x&quot;),M=u(e,h,&quot;y&quot;);r.xaxes=f(A,d.xaxis,v,y,&quot;x&quot;),r.yaxes=f(M,d.yaxis,g,y,&quot;y&quot;)}var T=r._anchors={},k=&quot;top to bottom&quot;===r.roworder;for(var E in y){var L,S,C,O=E.charAt(0),R=r[O+&quot;side&quot;];if(R.length&lt;8)T[E]=&quot;free&quot;;else if(&quot;x&quot;===O){if(&quot;t&quot;===R.charAt(0)===k?(L=0,S=1,C=g):(L=g-1,S=-1,C=-1),p){var P=y[E];for(n=L;n!==C;n+=S)if((s=l[n][P])&amp;&amp;(c=s.indexOf(&quot;y&quot;),s.slice(0,c)===E)){T[E]=s.slice(c);break}}else for(n=L;n!==C;n+=S)if(o=r.yaxes[n],-1!==d.cartesian.indexOf(E+o)){T[E]=o;break}}else if(&quot;l&quot;===R.charAt(0)?(L=0,S=1,C=v):(L=v-1,S=-1,C=-1),p){var z=y[E];for(n=L;n!==C;n+=S)if((s=l[z][n])&amp;&amp;(c=s.indexOf(&quot;y&quot;),s.slice(c)===E)){T[E]=s.slice(0,c);break}}else for(n=L;n!==C;n+=S)if(a=r.xaxes[n],-1!==d.cartesian.indexOf(a+E)){T[E]=a;break}}}}}},{&quot;../../lib&quot;:495,&quot;../../lib/regex&quot;:510,&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/cartesian/constants&quot;:547,&quot;../../plots/domain&quot;:566}],420:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../plots/cartesian/constants&quot;),i=t(&quot;../../plot_api/plot_template&quot;).templatedArray;e.exports=i(&quot;image&quot;,{visible:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;arraydraw&quot;},source:{valType:&quot;string&quot;,editType:&quot;arraydraw&quot;},layer:{valType:&quot;enumerated&quot;,values:[&quot;below&quot;,&quot;above&quot;],dflt:&quot;above&quot;,editType:&quot;arraydraw&quot;},sizex:{valType:&quot;number&quot;,dflt:0,editType:&quot;arraydraw&quot;},sizey:{valType:&quot;number&quot;,dflt:0,editType:&quot;arraydraw&quot;},sizing:{valType:&quot;enumerated&quot;,values:[&quot;fill&quot;,&quot;contain&quot;,&quot;stretch&quot;],dflt:&quot;contain&quot;,editType:&quot;arraydraw&quot;},opacity:{valType:&quot;number&quot;,min:0,max:1,dflt:1,editType:&quot;arraydraw&quot;},x:{valType:&quot;any&quot;,dflt:0,editType:&quot;arraydraw&quot;},y:{valType:&quot;any&quot;,dflt:0,editType:&quot;arraydraw&quot;},xanchor:{valType:&quot;enumerated&quot;,values:[&quot;left&quot;,&quot;center&quot;,&quot;right&quot;],dflt:&quot;left&quot;,editType:&quot;arraydraw&quot;},yanchor:{valType:&quot;enumerated&quot;,values:[&quot;top&quot;,&quot;middle&quot;,&quot;bottom&quot;],dflt:&quot;top&quot;,editType:&quot;arraydraw&quot;},xref:{valType:&quot;enumerated&quot;,values:[&quot;paper&quot;,n.idRegex.x.toString()],dflt:&quot;paper&quot;,editType:&quot;arraydraw&quot;},yref:{valType:&quot;enumerated&quot;,values:[&quot;paper&quot;,n.idRegex.y.toString()],dflt:&quot;paper&quot;,editType:&quot;arraydraw&quot;},editType:&quot;arraydraw&quot;})},{&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/cartesian/constants&quot;:547}],421:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;fast-isnumeric&quot;),i=t(&quot;../../lib/to_log_range&quot;);e.exports=function(t,e,r,a){e=e||{};var o=&quot;log&quot;===r&amp;&amp;&quot;linear&quot;===e.type,s=&quot;linear&quot;===r&amp;&amp;&quot;log&quot;===e.type;if(o||s)for(var l,u,c=t._fullLayout.images,f=e._id.charAt(0),h=0;h&lt;c.length;h++)if(u=&quot;images[&quot;+h+&quot;].&quot;,(l=c[h])[f+&quot;ref&quot;]===e._id){var d=l[f],p=l[&quot;size&quot;+f],g=null,v=null;if(o){g=i(d,e.range);var m=p/Math.pow(10,g)/2;v=2*Math.log(m+Math.sqrt(1+m*m))/Math.LN10}else v=(g=Math.pow(10,d))*(Math.pow(10,p/2)-Math.pow(10,-p/2));n(g)?n(v)||(v=null):(g=null,v=null),a(u+f,g),a(u+&quot;size&quot;+f,v)}}},{&quot;../../lib/to_log_range&quot;:520,&quot;fast-isnumeric&quot;:90}],422:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../plots/cartesian/axes&quot;),a=t(&quot;../../plots/array_container_defaults&quot;),o=t(&quot;./attributes&quot;);function s(t,e,r){function a(r,i){return n.coerce(t,e,o,r,i)}var s=a(&quot;source&quot;);if(!a(&quot;visible&quot;,!!s))return e;a(&quot;layer&quot;),a(&quot;xanchor&quot;),a(&quot;yanchor&quot;),a(&quot;sizex&quot;),a(&quot;sizey&quot;),a(&quot;sizing&quot;),a(&quot;opacity&quot;);for(var l={_fullLayout:r},u=[&quot;x&quot;,&quot;y&quot;],c=0;c&lt;2;c++){var f=u[c],h=i.coerceRef(t,e,l,f,&quot;paper&quot;);if(&quot;paper&quot;!==h)i.getFromId(l,h)._imgIndices.push(e._index);i.coercePosition(e,l,a,h,f,0)}return e}e.exports=function(t,e){a(t,e,{name:&quot;images&quot;,handleItemDefaults:s})}},{&quot;../../lib&quot;:495,&quot;../../plots/array_container_defaults&quot;:537,&quot;../../plots/cartesian/axes&quot;:541,&quot;./attributes&quot;:420}],423:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;../drawing&quot;),a=t(&quot;../../plots/cartesian/axes&quot;),o=t(&quot;../../constants/xmlns_namespaces&quot;);e.exports=function(t){var e,r,s=t._fullLayout,l=[],u={},c=[];for(r=0;r&lt;s.images.length;r++){var f=s.images[r];if(f.visible)if(&quot;below&quot;===f.layer&amp;&amp;&quot;paper&quot;!==f.xref&amp;&amp;&quot;paper&quot;!==f.yref){e=f.xref+f.yref;var h=s._plots[e];if(!h){c.push(f);continue}h.mainplot&amp;&amp;(e=h.mainplot.id),u[e]||(u[e]=[]),u[e].push(f)}else&quot;above&quot;===f.layer?l.push(f):c.push(f)}var d={x:{left:{sizing:&quot;xMin&quot;,offset:0},center:{sizing:&quot;xMid&quot;,offset:-.5},right:{sizing:&quot;xMax&quot;,offset:-1}},y:{top:{sizing:&quot;YMin&quot;,offset:0},middle:{sizing:&quot;YMid&quot;,offset:-.5},bottom:{sizing:&quot;YMax&quot;,offset:-1}}};function p(e){var r=n.select(this);if(!this.img||this.img.src!==e.source){r.attr(&quot;xmlns&quot;,o.svg);var i=new Promise(function(t){var n=new Image;function i(){r.remove(),t()}this.img=n,n.setAttribute(&quot;crossOrigin&quot;,&quot;anonymous&quot;),n.onerror=i,n.onload=function(){var e=document.createElement(&quot;canvas&quot;);e.width=this.width,e.height=this.height,e.getContext(&quot;2d&quot;).drawImage(this,0,0);var n=e.toDataURL(&quot;image/png&quot;);r.attr(&quot;xlink:href&quot;,n),t()},r.on(&quot;error&quot;,i),n.src=e.source}.bind(this));t._promises.push(i)}}function g(e){var r=n.select(this),o=a.getFromId(t,e.xref),l=a.getFromId(t,e.yref),u=s._size,c=o?Math.abs(o.l2p(e.sizex)-o.l2p(0)):e.sizex*u.w,f=l?Math.abs(l.l2p(e.sizey)-l.l2p(0)):e.sizey*u.h,h=c*d.x[e.xanchor].offset,p=f*d.y[e.yanchor].offset,g=d.x[e.xanchor].sizing+d.y[e.yanchor].sizing,v=(o?o.r2p(e.x)+o._offset:e.x*u.w+u.l)+h,m=(l?l.r2p(e.y)+l._offset:u.h-e.y*u.h+u.t)+p;switch(e.sizing){case&quot;fill&quot;:g+=&quot; slice&quot;;break;case&quot;stretch&quot;:g=&quot;none&quot;}r.attr({x:v,y:m,width:c,height:f,preserveAspectRatio:g,opacity:e.opacity});var y=(o?o._id:&quot;&quot;)+(l?l._id:&quot;&quot;);i.setClipUrl(r,y?&quot;clip&quot;+s._uid+y:null,t)}var v=s._imageLowerLayer.selectAll(&quot;image&quot;).data(c),m=s._imageUpperLayer.selectAll(&quot;image&quot;).data(l);v.enter().append(&quot;image&quot;),m.enter().append(&quot;image&quot;),v.exit().remove(),m.exit().remove(),v.each(function(t){p.bind(this)(t),g.bind(this)(t)}),m.each(function(t){p.bind(this)(t),g.bind(this)(t)});var y=Object.keys(s._plots);for(r=0;r&lt;y.length;r++){e=y[r];var b=s._plots[e];if(b.imagelayer){var x=b.imagelayer.selectAll(&quot;image&quot;).data(u[e]||[]);x.enter().append(&quot;image&quot;),x.exit().remove(),x.each(function(t){p.bind(this)(t),g.bind(this)(t)})}}}},{&quot;../../constants/xmlns_namespaces&quot;:476,&quot;../../plots/cartesian/axes&quot;:541,&quot;../drawing&quot;:397,d3:81}],424:[function(t,e,r){&quot;use strict&quot;;e.exports={moduleType:&quot;component&quot;,name:&quot;images&quot;,layoutAttributes:t(&quot;./attributes&quot;),supplyLayoutDefaults:t(&quot;./defaults&quot;),includeBasePlot:t(&quot;../../plots/cartesian/include_components&quot;)(&quot;images&quot;),draw:t(&quot;./draw&quot;),convertCoords:t(&quot;./convert_coords&quot;)}},{&quot;../../plots/cartesian/include_components&quot;:551,&quot;./attributes&quot;:420,&quot;./convert_coords&quot;:421,&quot;./defaults&quot;:422,&quot;./draw&quot;:423}],425:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../plots/font_attributes&quot;),i=t(&quot;../color/attributes&quot;);e.exports={bgcolor:{valType:&quot;color&quot;,editType:&quot;legend&quot;},bordercolor:{valType:&quot;color&quot;,dflt:i.defaultLine,editType:&quot;legend&quot;},borderwidth:{valType:&quot;number&quot;,min:0,dflt:0,editType:&quot;legend&quot;},font:n({editType:&quot;legend&quot;}),orientation:{valType:&quot;enumerated&quot;,values:[&quot;v&quot;,&quot;h&quot;],dflt:&quot;v&quot;,editType:&quot;legend&quot;},traceorder:{valType:&quot;flaglist&quot;,flags:[&quot;reversed&quot;,&quot;grouped&quot;],extras:[&quot;normal&quot;],editType:&quot;legend&quot;},tracegroupgap:{valType:&quot;number&quot;,min:0,dflt:10,editType:&quot;legend&quot;},x:{valType:&quot;number&quot;,min:-2,max:3,dflt:1.02,editType:&quot;legend&quot;},xanchor:{valType:&quot;enumerated&quot;,values:[&quot;auto&quot;,&quot;left&quot;,&quot;center&quot;,&quot;right&quot;],dflt:&quot;left&quot;,editType:&quot;legend&quot;},y:{valType:&quot;number&quot;,min:-2,max:3,dflt:1,editType:&quot;legend&quot;},yanchor:{valType:&quot;enumerated&quot;,values:[&quot;auto&quot;,&quot;top&quot;,&quot;middle&quot;,&quot;bottom&quot;],dflt:&quot;auto&quot;,editType:&quot;legend&quot;},uirevision:{valType:&quot;any&quot;,editType:&quot;none&quot;},valign:{valType:&quot;enumerated&quot;,values:[&quot;top&quot;,&quot;middle&quot;,&quot;bottom&quot;],dflt:&quot;middle&quot;,editType:&quot;legend&quot;},editType:&quot;legend&quot;}},{&quot;../../plots/font_attributes&quot;:567,&quot;../color/attributes&quot;:375}],426:[function(t,e,r){&quot;use strict&quot;;e.exports={scrollBarWidth:6,scrollBarMinHeight:20,scrollBarColor:&quot;#808BA4&quot;,scrollBarMargin:4,textOffsetX:40}},{}],427:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../registry&quot;),i=t(&quot;../../lib&quot;),a=t(&quot;../../plot_api/plot_template&quot;),o=t(&quot;./attributes&quot;),s=t(&quot;../../plots/layout_attributes&quot;),l=t(&quot;./helpers&quot;);e.exports=function(t,e,r){for(var u,c,f,h,d=t.legend||{},p=0,g=!1,v=&quot;normal&quot;,m=0;m&lt;r.length;m++){var y=r[m];y.visible&amp;&amp;((y.showlegend||y._dfltShowLegend)&amp;&amp;(p++,y.showlegend&amp;&amp;(g=!0,(n.traceIs(y,&quot;pie&quot;)||!0===y._input.showlegend)&amp;&amp;p++)),(n.traceIs(y,&quot;bar&quot;)&amp;&amp;&quot;stack&quot;===e.barmode||-1!==[&quot;tonextx&quot;,&quot;tonexty&quot;].indexOf(y.fill))&amp;&amp;(v=l.isGrouped({traceorder:v})?&quot;grouped+reversed&quot;:&quot;reversed&quot;),void 0!==y.legendgroup&amp;&amp;&quot;&quot;!==y.legendgroup&amp;&amp;(v=l.isReversed({traceorder:v})?&quot;reversed+grouped&quot;:&quot;grouped&quot;))}var b=i.coerce(t,e,s,&quot;showlegend&quot;,g&amp;&amp;p&gt;1);if(!1!==b||d.uirevision){var x=a.newContainer(e,&quot;legend&quot;);if(w(&quot;uirevision&quot;,e.uirevision),!1!==b){if(w(&quot;bgcolor&quot;,e.paper_bgcolor),w(&quot;bordercolor&quot;),w(&quot;borderwidth&quot;),i.coerceFont(w,&quot;font&quot;,e.font),w(&quot;orientation&quot;),&quot;h&quot;===x.orientation){var _=t.xaxis;n.getComponentMethod(&quot;rangeslider&quot;,&quot;isVisible&quot;)(_)?(u=0,f=&quot;left&quot;,c=1.1,h=&quot;bottom&quot;):(u=0,f=&quot;left&quot;,c=-.1,h=&quot;top&quot;)}w(&quot;traceorder&quot;,v),l.isGrouped(e.legend)&amp;&amp;w(&quot;tracegroupgap&quot;),w(&quot;x&quot;,u),w(&quot;xanchor&quot;,f),w(&quot;y&quot;,c),w(&quot;yanchor&quot;,h),w(&quot;valign&quot;),i.noneOrAll(d,x,[&quot;x&quot;,&quot;y&quot;])}}function w(t,e){return i.coerce(d,x,o,t,e)}}},{&quot;../../lib&quot;:495,&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/layout_attributes&quot;:582,&quot;../../registry&quot;:592,&quot;./attributes&quot;:425,&quot;./helpers&quot;:431}],428:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;../../lib&quot;),a=t(&quot;../../plots/plots&quot;),o=t(&quot;../../registry&quot;),s=t(&quot;../../lib/events&quot;),l=t(&quot;../dragelement&quot;),u=t(&quot;../drawing&quot;),c=t(&quot;../color&quot;),f=t(&quot;../../lib/svg_text_utils&quot;),h=t(&quot;./handle_click&quot;),d=t(&quot;./constants&quot;),p=t(&quot;../../constants/interactions&quot;),g=t(&quot;../../constants/alignment&quot;),v=g.LINE_SPACING,m=g.FROM_TL,y=g.FROM_BR,b=t(&quot;./get_legend_data&quot;),x=t(&quot;./style&quot;),_=t(&quot;./helpers&quot;),w=p.DBLCLICKDELAY;function A(t,e,r,n,i){var a=r.data()[0][0].trace,o={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};if(a._group&amp;&amp;(o.group=a._group),&quot;pie&quot;===a.type&amp;&amp;(o.label=r.datum()[0].label),!1!==s.triggerHandler(t,&quot;plotly_legendclick&quot;,o))if(1===n)e._clickTimeout=setTimeout(function(){h(r,t,n)},w);else if(2===n){e._clickTimeout&amp;&amp;clearTimeout(e._clickTimeout),t._legendMouseDownTime=0,!1!==s.triggerHandler(t,&quot;plotly_legenddoubleclick&quot;,o)&amp;&amp;h(r,t,n)}}function M(t,e,r){var n=t.data()[0][0],a=e._fullLayout,s=n.trace,l=o.traceIs(s,&quot;pie&quot;),c=s.index,h=e._context.edits.legendText&amp;&amp;!l,p=l?n.label:s.name;a.meta&amp;&amp;(p=i.templateString(p,{meta:a.meta}));var g=i.ensureSingle(t,&quot;text&quot;,&quot;legendtext&quot;);function m(r){f.convertToTspans(r,e,function(){!function(t,e){var r=t.data()[0][0];if(!r.trace.showlegend)return void t.remove();var n,i,a=t.select(&quot;g[class*=math-group]&quot;),o=a.node(),s=e._fullLayout.legend.font.size*v;if(o){var l=u.bBox(o);n=l.height,i=l.width,u.setTranslate(a,0,n/4)}else{var c=t.select(&quot;.legendtext&quot;),h=f.lineCount(c),p=c.node();n=s*h,i=p?u.bBox(p).width:0;var g=s*(.3+(1-h)/2);f.positionText(c,d.textOffsetX,g)}r.lineHeight=s,r.height=Math.max(n,16)+3,r.width=i}(t,e)})}g.attr(&quot;text-anchor&quot;,&quot;start&quot;).classed(&quot;user-select-none&quot;,!0).call(u.font,a.legend.font).text(h?T(p,r):p),f.positionText(g,d.textOffsetX,0),h?g.call(f.makeEditable,{gd:e,text:p}).call(m).on(&quot;edit&quot;,function(t){this.text(T(t,r)).call(m);var a=n.trace._fullInput||{},s={};if(o.hasTransform(a,&quot;groupby&quot;)){var l=o.getTransformIndices(a,&quot;groupby&quot;),u=l[l.length-1],f=i.keyedContainer(a,&quot;transforms[&quot;+u+&quot;].styles&quot;,&quot;target&quot;,&quot;value.name&quot;);f.set(n.trace._group,t),s=f.constructUpdate()}else s.name=t;return o.call(&quot;_guiRestyle&quot;,e,s,c)}):m(g)}function T(t,e){var r=Math.max(4,e);if(t&amp;&amp;t.trim().length&gt;=r/2)return t;for(var n=r-(t=t||&quot;&quot;).length;n&gt;0;n--)t+=&quot; &quot;;return t}function k(t,e){var r,a=1,o=i.ensureSingle(t,&quot;rect&quot;,&quot;legendtoggle&quot;,function(t){t.style(&quot;cursor&quot;,&quot;pointer&quot;).attr(&quot;pointer-events&quot;,&quot;all&quot;).call(c.fill,&quot;rgba(0,0,0,0)&quot;)});o.on(&quot;mousedown&quot;,function(){(r=(new Date).getTime())-e._legendMouseDownTime&lt;w?a+=1:(a=1,e._legendMouseDownTime=r)}),o.on(&quot;mouseup&quot;,function(){if(!e._dragged&amp;&amp;!e._editing){var r=e._fullLayout.legend;(new 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e=t[0],r=n.select(this).select(&quot;.legendtoggle&quot;);u.setRect(r,0,-e.height/2,(P?0:o._width)+c,e.height)})}function L(t){var e=t._fullLayout.legend,r=&quot;left&quot;;i.isRightAnchor(e)?r=&quot;right&quot;:i.isCenterAnchor(e)&amp;&amp;(r=&quot;center&quot;);var n=&quot;top&quot;;i.isBottomAnchor(e)?n=&quot;bottom&quot;:i.isMiddleAnchor(e)&amp;&amp;(n=&quot;middle&quot;),a.autoMargin(t,&quot;legend&quot;,{x:e.x,y:e.y,l:e._width*m[r],r:e._width*y[r],b:e._height*y[n],t:e._height*m[n]})}e.exports=function(t){var e=t._fullLayout,r=&quot;legend&quot;+e._uid;if(e._infolayer&amp;&amp;t.calcdata){t._legendMouseDownTime||(t._legendMouseDownTime=0);var s=e.legend,f=e.showlegend&amp;&amp;b(t.calcdata,s),h=e.hiddenlabels||[];if(!e.showlegend||!f.length)return e._infolayer.selectAll(&quot;.legend&quot;).remove(),e._topdefs.select(&quot;#&quot;+r).remove(),void a.autoMargin(t,&quot;legend&quot;);for(var p=0,g=0;g&lt;f.length;g++)for(var v=0;v&lt;f[g].length;v++){var 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N=I.selectAll(&quot;g.traces&quot;).data(i.identity);N.enter().append(&quot;g&quot;).attr(&quot;class&quot;,&quot;traces&quot;),N.exit().remove(),N.style(&quot;opacity&quot;,function(t){var e=t[0].trace;return o.traceIs(e,&quot;pie&quot;)?-1!==h.indexOf(t[0].label)?.5:1:&quot;legendonly&quot;===e.visible?.5:1}).each(function(){n.select(this).call(M,t,p)}).call(x,t).each(function(){n.select(this).call(k,t)}),i.syncOrAsync([a.previousPromises,function(){S&amp;&amp;(E(t,I,N),L(t));var c=e.width,f=e.height;E(t,I,N),s._height&gt;f?function(t){var e=t._fullLayout.legend,r=&quot;left&quot;;i.isRightAnchor(e)?r=&quot;right&quot;:i.isCenterAnchor(e)&amp;&amp;(r=&quot;center&quot;);a.autoMargin(t,&quot;legend&quot;,{x:e.x,y:.5,l:e._width*m[r],r:e._width*y[r],b:0,t:0})}(t):L(t);var h=e._size,p=h.l+h.w*s.x,g=h.t+h.h*(1-s.y);i.isRightAnchor(s)?p-=s._width:i.isCenterAnchor(s)&amp;&amp;(p-=s._width/2),i.isBottomAnchor(s)?g-=s._height:i.isMiddleAnchor(s)&amp;&amp;(g-=s._height/2);var v=s._width,b=h.w;v&gt;b?(p=h.l,v=b):(p+v&gt;c&amp;&amp;(p=c-v),p&lt;0&amp;&amp;(p=0),v=Math.min(c-p,s._width));var x,_,w,M,T=s._height,k=h.h;if(T&gt;k?(g=h.t,T=k):(g+T&gt;f&amp;&amp;(g=f-T),g&lt;0&amp;&amp;(g=0),T=Math.min(f-g,s._height)),u.setTranslate(C,p,g),z.on(&quot;.drag&quot;,null),C.on(&quot;wheel&quot;,null),s._height&lt;=T||t._context.staticPlot)R.attr({width:v-s.borderwidth,height:T-s.borderwidth,x:s.borderwidth/2,y:s.borderwidth/2}),u.setTranslate(P,0,0),O.select(&quot;rect&quot;).attr({width:v-2*s.borderwidth,height:T-2*s.borderwidth,x:s.borderwidth,y:s.borderwidth}),u.setClipUrl(P,r,t),u.setRect(z,0,0,0,0),delete s._scrollY;else{var 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T;switch(p.visible){case!0:T=&quot;legendonly&quot;;break;case!1:T=!1;break;case&quot;legendonly&quot;:T=!0}if(A)for(o=0;o&lt;d.length;o++)!1!==d[o].visible&amp;&amp;d[o].legendgroup===g&amp;&amp;R(d[o],T);else R(p,T)}else if(2===r){var k,E,L=!0;for(o=0;o&lt;d.length;o++)if(!(d[o]===p)&amp;&amp;!(k=A&amp;&amp;d[o].legendgroup===g)&amp;&amp;!0===d[o].visible&amp;&amp;!i.traceIs(d[o],&quot;notLegendIsolatable&quot;)){L=!1;break}for(o=0;o&lt;d.length;o++)if(!1!==d[o].visible&amp;&amp;!i.traceIs(d[o],&quot;notLegendIsolatable&quot;))switch(p.visible){case&quot;legendonly&quot;:R(d[o],!0);break;case!0:E=!!L||&quot;legendonly&quot;,k=d[o]===p||A&amp;&amp;d[o].legendgroup===g,R(d[o],!!k||E)}}for(o=0;o&lt;y.length;o++)if(l=y[o]){var S=l.constructUpdate(),C=Object.keys(S);for(s=0;s&lt;C.length;s++)u=C[s],(v[u]=v[u]||[])[b[o]]=S[u]}for(c=Object.keys(v),o=0;o&lt;c.length;o++)for(u=c[o],s=0;s&lt;m.length;s++)v[u].hasOwnProperty(s)||(v[u][s]=void 0);i.call(&quot;_guiRestyle&quot;,e,v,m)}}function 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e=t[0].trace,r=e.marker||{},a=r.line||{},o=n.select(this).select(&quot;g.legendpoints&quot;).selectAll(&quot;path.legendbar&quot;).data(i.traceIs(e,&quot;bar&quot;)?[t]:[]);o.enter().append(&quot;path&quot;).classed(&quot;legendbar&quot;,!0).attr(&quot;d&quot;,&quot;M6,6H-6V-6H6Z&quot;).attr(&quot;transform&quot;,&quot;translate(20,0)&quot;),o.exit().remove(),o.each(function(t){var e=n.select(this),i=t[0],o=(i.mlw+1||a.width+1)-1;e.style(&quot;stroke-width&quot;,o+&quot;px&quot;).call(s.fill,i.mc||r.color),o&amp;&amp;e.call(s.stroke,i.mlc||a.color)})}).each(function(t){var e=t[0].trace,r=n.select(this).select(&quot;g.legendpoints&quot;).selectAll(&quot;path.legendbox&quot;).data(i.traceIs(e,&quot;box-violin&quot;)&amp;&amp;e.visible?[t]:[]);r.enter().append(&quot;path&quot;).classed(&quot;legendbox&quot;,!0).attr(&quot;d&quot;,&quot;M6,6H-6V-6H6Z&quot;).attr(&quot;transform&quot;,&quot;translate(20,0)&quot;),r.exit().remove(),r.each(function(){var 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h=l.hasMarkers(r)||l.hasText(r),d=i||c,p=a||u,g=h||!d?&quot;M5,0&quot;:p?&quot;M5,-2&quot;:&quot;M5,-3&quot;,v=n.select(this),m=v.select(&quot;.legendfill&quot;).selectAll(&quot;path&quot;).data(i||c?[t]:[]);m.enter().append(&quot;path&quot;).classed(&quot;js-fill&quot;,!0),m.exit().remove(),m.attr(&quot;d&quot;,g+&quot;h30v6h-30z&quot;).call(i?o.fillGroupStyle:function(t){if(t.size()){var n=&quot;legendfill-&quot;+r.uid;o.gradient(t,e,n,&quot;horizontalreversed&quot;,r.colorscale,&quot;fill&quot;)}});var y=v.select(&quot;.legendlines&quot;).selectAll(&quot;path&quot;).data(a||u?[t]:[]);y.enter().append(&quot;path&quot;).classed(&quot;js-line&quot;,!0),y.exit().remove(),y.attr(&quot;d&quot;,g+(u?&quot;l30,0.0001&quot;:&quot;h30&quot;)).call(a?o.lineGroupStyle:function(t){if(t.size()){var n=&quot;legendline-&quot;+r.uid;o.lineGroupStyle(t),o.gradient(t,e,n,&quot;horizontalreversed&quot;,r.colorscale,&quot;stroke&quot;)}})}).each(function(t){var 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y=n.select(this).select(&quot;g.legendpoints&quot;),b=y.selectAll(&quot;path.scatterpts&quot;).data(c?r:[]);b.enter().insert(&quot;path&quot;,&quot;:first-child&quot;).classed(&quot;scatterpts&quot;,!0).attr(&quot;transform&quot;,&quot;translate(20,0)&quot;),b.exit().remove(),b.call(o.pointStyle,i,e),c&amp;&amp;(r[0].mrc=3);var x=y.selectAll(&quot;g.pointtext&quot;).data(f?r:[]);x.enter().append(&quot;g&quot;).classed(&quot;pointtext&quot;,!0).append(&quot;text&quot;).attr(&quot;transform&quot;,&quot;translate(20,0)&quot;),x.exit().remove(),x.selectAll(&quot;text&quot;).call(o.textPointStyle,i,e)}).each(function(t){var e=t[0].trace,r=n.select(this).select(&quot;g.legendpoints&quot;).selectAll(&quot;path.legendcandle&quot;).data(&quot;candlestick&quot;===e.type&amp;&amp;e.visible?[t,t]:[]);r.enter().append(&quot;path&quot;).classed(&quot;legendcandle&quot;,!0).attr(&quot;d&quot;,function(t,e){return e?&quot;M-15,0H-8M-8,6V-6H8Z&quot;:&quot;M15,0H8M8,-6V6H-8Z&quot;}).attr(&quot;transform&quot;,&quot;translate(20,0)&quot;).style(&quot;stroke-miterlimit&quot;,1),r.exit().remove(),r.each(function(t,r){var i=e[r?&quot;increasing&quot;:&quot;decreasing&quot;],a=i.line.width,o=n.select(this);o.style(&quot;stroke-width&quot;,a+&quot;px&quot;).call(s.fill,i.fillcolor),a&amp;&amp;s.stroke(o,i.line.color)})}).each(function(t){var e=t[0].trace,r=n.select(this).select(&quot;g.legendpoints&quot;).selectAll(&quot;path.legendohlc&quot;).data(&quot;ohlc&quot;===e.type&amp;&amp;e.visible?[t,t]:[]);r.enter().append(&quot;path&quot;).classed(&quot;legendohlc&quot;,!0).attr(&quot;d&quot;,function(t,e){return e?&quot;M-15,0H0M-8,-6V0&quot;:&quot;M15,0H0M8,6V0&quot;}).attr(&quot;transform&quot;,&quot;translate(20,0)&quot;).style(&quot;stroke-miterlimit&quot;,1),r.exit().remove(),r.each(function(t,r){var 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d,p=&quot;in&quot;===l?.5:2,g=(1+p)/2,v=(1-p)/2;for(i=0;i&lt;f.length;i++)if(!(r=f[i]).fixedrange)if(d=r._name,&quot;auto&quot;===l)c[d+&quot;.autorange&quot;]=!0;else if(&quot;reset&quot;===l){if(void 0===r._rangeInitial)c[d+&quot;.autorange&quot;]=!0;else{var m=r._rangeInitial.slice();c[d+&quot;.range[0]&quot;]=m[0],c[d+&quot;.range[1]&quot;]=m[1]}void 0!==r._showSpikeInitial&amp;&amp;(c[d+&quot;.showspikes&quot;]=r._showSpikeInitial,&quot;on&quot;!==h||r._showSpikeInitial||(h=&quot;off&quot;))}else{var y=[r.r2l(r.range[0]),r.r2l(r.range[1])],b=[g*y[0]+v*y[1],g*y[1]+v*y[0]];c[d+&quot;.range[0]&quot;]=r.l2r(b[0]),c[d+&quot;.range[1]&quot;]=r.l2r(b[1])}u._cartesianSpikesEnabled=h}else{if(&quot;hovermode&quot;!==s||&quot;x&quot;!==l&amp;&amp;&quot;y&quot;!==l){if(&quot;hovermode&quot;===s&amp;&amp;&quot;closest&quot;===l){for(i=0;i&lt;f.length;i++)r=f[i],&quot;on&quot;!==h||r.showspikes||(h=&quot;off&quot;);u._cartesianSpikesEnabled=h}}else 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e=g(t);n.call(&quot;_guiRelayout&quot;,t,&quot;hovermode&quot;,e)}function m(t,e){for(var r=t._fullLayout,i=r._subplots[e],a={},o=0;o&lt;i.length;o++)for(var s=i[o],l=r[s]._subplot.viewInitial,u=Object.keys(l),c=0;c&lt;u.length;c++){var f=u[c];a[s+&quot;.&quot;+f]=l[f]}n.call(&quot;_guiRelayout&quot;,t,a)}u.toImage={name:&quot;toImage&quot;,title:function(t){var e=(t._context.toImageButtonOptions||{}).format||&quot;png&quot;;return l(t,&quot;png&quot;===e?&quot;Download plot as a png&quot;:&quot;Download plot&quot;)},icon:s.camera,click:function(t){var e=t._context.toImageButtonOptions,r={format:e.format||&quot;png&quot;};o.notifier(l(t,&quot;Taking snapshot - this may take a few seconds&quot;),&quot;long&quot;),&quot;svg&quot;!==r.format&amp;&amp;o.isIE()&amp;&amp;(o.notifier(l(t,&quot;IE only supports svg.  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l(t,&quot;Box Select&quot;)},attr:&quot;dragmode&quot;,val:&quot;select&quot;,icon:s.selectbox,click:c},u.lasso2d={name:&quot;lasso2d&quot;,title:function(t){return l(t,&quot;Lasso Select&quot;)},attr:&quot;dragmode&quot;,val:&quot;lasso&quot;,icon:s.lasso,click:c},u.zoomIn2d={name:&quot;zoomIn2d&quot;,title:function(t){return l(t,&quot;Zoom in&quot;)},attr:&quot;zoom&quot;,val:&quot;in&quot;,icon:s.zoom_plus,click:c},u.zoomOut2d={name:&quot;zoomOut2d&quot;,title:function(t){return l(t,&quot;Zoom out&quot;)},attr:&quot;zoom&quot;,val:&quot;out&quot;,icon:s.zoom_minus,click:c},u.autoScale2d={name:&quot;autoScale2d&quot;,title:function(t){return l(t,&quot;Autoscale&quot;)},attr:&quot;zoom&quot;,val:&quot;auto&quot;,icon:s.autoscale,click:c},u.resetScale2d={name:&quot;resetScale2d&quot;,title:function(t){return l(t,&quot;Reset axes&quot;)},attr:&quot;zoom&quot;,val:&quot;reset&quot;,icon:s.home,click:c},u.hoverClosestCartesian={name:&quot;hoverClosestCartesian&quot;,title:function(t){return l(t,&quot;Show closest data on hover&quot;)},attr:&quot;hovermode&quot;,val:&quot;closest&quot;,icon:s.tooltip_basic,gravity:&quot;ne&quot;,click:c},u.hoverCompareCartesian={name:&quot;hoverCompareCartesian&quot;,title:function(t){return l(t,&quot;Compare data on hover&quot;)},attr:&quot;hovermode&quot;,val:function(t){return t._fullLayout._isHoriz?&quot;y&quot;:&quot;x&quot;},icon:s.tooltip_compare,gravity:&quot;ne&quot;,click:c},u.zoom3d={name:&quot;zoom3d&quot;,title:function(t){return l(t,&quot;Zoom&quot;)},attr:&quot;scene.dragmode&quot;,val:&quot;zoom&quot;,icon:s.zoombox,click:f},u.pan3d={name:&quot;pan3d&quot;,title:function(t){return l(t,&quot;Pan&quot;)},attr:&quot;scene.dragmode&quot;,val:&quot;pan&quot;,icon:s.pan,click:f},u.orbitRotation={name:&quot;orbitRotation&quot;,title:function(t){return l(t,&quot;Orbital rotation&quot;)},attr:&quot;scene.dragmode&quot;,val:&quot;orbit&quot;,icon:s[&quot;3d_rotate&quot;],click:f},u.tableRotation={name:&quot;tableRotation&quot;,title:function(t){return l(t,&quot;Turntable rotation&quot;)},attr:&quot;scene.dragmode&quot;,val:&quot;turntable&quot;,icon:s[&quot;z-axis&quot;],click:f},u.resetCameraDefault3d={name:&quot;resetCameraDefault3d&quot;,title:function(t){return l(t,&quot;Reset camera to default&quot;)},attr:&quot;resetDefault&quot;,icon:s.home,click:h},u.resetCameraLastSave3d={name:&quot;resetCameraLastSave3d&quot;,title:function(t){return l(t,&quot;Reset camera to last save&quot;)},attr:&quot;resetLastSave&quot;,icon:s.movie,click:h},u.hoverClosest3d={name:&quot;hoverClosest3d&quot;,title:function(t){return l(t,&quot;Toggle show closest data on hover&quot;)},attr:&quot;hovermode&quot;,val:null,toggle:!0,icon:s.tooltip_basic,gravity:&quot;ne&quot;,click:function(t,e){var r=d(t,e);n.call(&quot;_guiRelayout&quot;,t,r)}},u.zoomInGeo={name:&quot;zoomInGeo&quot;,title:function(t){return l(t,&quot;Zoom in&quot;)},attr:&quot;zoom&quot;,val:&quot;in&quot;,icon:s.zoom_plus,click:p},u.zoomOutGeo={name:&quot;zoomOutGeo&quot;,title:function(t){return l(t,&quot;Zoom out&quot;)},attr:&quot;zoom&quot;,val:&quot;out&quot;,icon:s.zoom_minus,click:p},u.resetGeo={name:&quot;resetGeo&quot;,title:function(t){return l(t,&quot;Reset&quot;)},attr:&quot;reset&quot;,val:null,icon:s.autoscale,click:p},u.hoverClosestGeo={name:&quot;hoverClosestGeo&quot;,title:function(t){return l(t,&quot;Toggle show closest data on hover&quot;)},attr:&quot;hovermode&quot;,val:null,toggle:!0,icon:s.tooltip_basic,gravity:&quot;ne&quot;,click:v},u.hoverClosestGl2d={name:&quot;hoverClosestGl2d&quot;,title:function(t){return l(t,&quot;Toggle show closest data on hover&quot;)},attr:&quot;hovermode&quot;,val:null,toggle:!0,icon:s.tooltip_basic,gravity:&quot;ne&quot;,click:v},u.hoverClosestPie={name:&quot;hoverClosestPie&quot;,title:function(t){return l(t,&quot;Toggle show closest data on hover&quot;)},attr:&quot;hovermode&quot;,val:&quot;closest&quot;,icon:s.tooltip_basic,gravity:&quot;ne&quot;,click:v},u.toggleHover={name:&quot;toggleHover&quot;,title:function(t){return l(t,&quot;Toggle show closest data on hover&quot;)},attr:&quot;hovermode&quot;,val:null,toggle:!0,icon:s.tooltip_basic,gravity:&quot;ne&quot;,click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call(&quot;_guiRelayout&quot;,t,r)}},u.resetViews={name:&quot;resetViews&quot;,title:function(t){return l(t,&quot;Reset views&quot;)},icon:s.home,click:function(t,e){var r=e.currentTarget;r.setAttribute(&quot;data-attr&quot;,&quot;zoom&quot;),r.setAttribute(&quot;data-val&quot;,&quot;reset&quot;),c(t,e),r.setAttribute(&quot;data-attr&quot;,&quot;resetLastSave&quot;),h(t,e),m(t,&quot;geo&quot;),m(t,&quot;mapbox&quot;)}},u.toggleSpikelines={name:&quot;toggleSpikelines&quot;,title:function(t){return l(t,&quot;Toggle Spike Lines&quot;)},icon:s.spikeline,attr:&quot;_cartesianSpikesEnabled&quot;,val:&quot;on&quot;,click:function(t){var e=t._fullLayout;e._cartesianSpikesEnabled=&quot;on&quot;===e._cartesianSpikesEnabled?&quot;off&quot;:&quot;on&quot;;var r=function(t){for(var e,r,n=t._fullLayout,i=a.list(t,null,!0),o={},s=0;s&lt;i.length;s++)e=i[s],r=e._name,o[r+&quot;.showspikes&quot;]=&quot;on&quot;===n._cartesianSpikesEnabled||e._showSpikeInitial;return o}(t);n.call(&quot;_guiRelayout&quot;,t,r)}},u.resetViewMapbox={name:&quot;resetViewMapbox&quot;,title:function(t){return l(t,&quot;Reset view&quot;)},attr:&quot;reset&quot;,icon:s.home,click:function(t){m(t,&quot;mapbox&quot;)}}},{&quot;../../../build/ploticon&quot;:2,&quot;../../lib&quot;:495,&quot;../../plots/cartesian/axis_ids&quot;:544,&quot;../../plots/plots&quot;:584,&quot;../../registry&quot;:592}],435:[function(t,e,r){&quot;use strict&quot;;r.manage=t(&quot;./manage&quot;)},{&quot;./manage&quot;:436}],436:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../plots/cartesian/axis_ids&quot;),i=t(&quot;../../traces/scatter/subtypes&quot;),a=t(&quot;../../registry&quot;),o=t(&quot;./modebar&quot;),s=t(&quot;./buttons&quot;);e.exports=function(t){var e=t._fullLayout,r=t._context,l=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([&quot;*modeBarButtonsToRemove* configuration options&quot;,&quot;must be an array.&quot;].join(&quot; &quot;));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([&quot;*modeBarButtonsToAdd* configuration 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_=[&quot;toImage&quot;];o&amp;&amp;_.push(&quot;sendDataToCloud&quot;);x(_);var w=[],A=[],M=[],T=[];(c||p||d||g)+h+f+v+m&gt;1?(A=[&quot;toggleHover&quot;],M=[&quot;resetViews&quot;]):h?(w=[&quot;zoomInGeo&quot;,&quot;zoomOutGeo&quot;],A=[&quot;hoverClosestGeo&quot;],M=[&quot;resetGeo&quot;]):f?(A=[&quot;hoverClosest3d&quot;],M=[&quot;resetCameraDefault3d&quot;,&quot;resetCameraLastSave3d&quot;]):v?(A=[&quot;toggleHover&quot;],M=[&quot;resetViewMapbox&quot;]):A=p?[&quot;hoverClosestGl2d&quot;]:d?[&quot;hoverClosestPie&quot;]:[&quot;toggleHover&quot;];c&amp;&amp;(A=[&quot;toggleSpikelines&quot;,&quot;hoverClosestCartesian&quot;,&quot;hoverCompareCartesian&quot;]);!c&amp;&amp;!p||y||(w=[&quot;zoomIn2d&quot;,&quot;zoomOut2d&quot;,&quot;autoScale2d&quot;],&quot;resetViews&quot;!==M[0]&amp;&amp;(M=[&quot;resetScale2d&quot;]));f?T=[&quot;zoom3d&quot;,&quot;pan3d&quot;,&quot;orbitRotation&quot;,&quot;tableRotation&quot;]:(c||p)&amp;&amp;!y||g?T=[&quot;zoom2d&quot;,&quot;pan2d&quot;]:v||h?T=[&quot;pan2d&quot;]:m&amp;&amp;(T=[&quot;zoom2d&quot;]);(function(t){for(var e=!1,r=0;r&lt;t.length&amp;&amp;!e;r++){var n=t[r];n._module&amp;&amp;n._module.selectPoints&amp;&amp;(a.traceIs(n,&quot;scatter-like&quot;)?(i.hasMarkers(n)||i.hasText(n))&amp;&amp;(e=!0):a.traceIs(n,&quot;box-violin&quot;)&amp;&amp;&quot;all&quot;!==n.boxpoints&amp;&amp;&quot;all&quot;!==n.points||(e=!0))}return e})(u)&amp;&amp;T.push(&quot;select2d&quot;,&quot;lasso2d&quot;);return x(T),x(w.concat(M)),x(A),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r&lt;e.length;r++)t.push(e[r]);else t.push(e);return t}(b,r)}(t,r.modeBarButtonsToRemove,r.modeBarButtonsToAdd,r.showSendToCloud),l?l.update(t,u):e._modeBar=o(t,u)}else l&amp;&amp;(l.destroy(),delete e._modeBar)}},{&quot;../../plots/cartesian/axis_ids&quot;:544,&quot;../../registry&quot;:592,&quot;../../traces/scatter/subtypes&quot;:640,&quot;./buttons&quot;:434,&quot;./modebar&quot;:437}],437:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;fast-isnumeric&quot;),a=t(&quot;../../lib&quot;),o=t(&quot;../../../build/ploticon&quot;),s=new DOMParser;function l(t){this.container=t.container,this.element=document.createElement(&quot;div&quot;),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var u=l.prototype;u.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=&quot;modebar-&quot;+n._uid;this.element.setAttribute(&quot;id&quot;,i),this._uid=i,this.element.className=&quot;modebar&quot;,&quot;hover&quot;===r.displayModeBar&amp;&amp;(this.element.className+=&quot; modebar--hover ease-bg&quot;),&quot;v&quot;===n.modebar.orientation&amp;&amp;(this.element.className+=&quot; vertical&quot;,e=e.reverse());var o=n.modebar,s=&quot;hover&quot;===r.displayModeBar?&quot;.js-plotly-plot .plotly:hover &quot;:&quot;&quot;;a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+&quot;#&quot;+i+&quot; .modebar-group&quot;,&quot;background-color: &quot;+o.bgcolor),a.addRelatedStyleRule(i,&quot;#&quot;+i+&quot; .modebar-btn .icon path&quot;,&quot;fill: &quot;+o.color),a.addRelatedStyleRule(i,&quot;#&quot;+i+&quot; .modebar-btn:hover .icon path&quot;,&quot;fill: &quot;+o.activecolor),a.addRelatedStyleRule(i,&quot;#&quot;+i+&quot; .modebar-btn.active .icon path&quot;,&quot;fill: &quot;+o.activecolor);var l=!this.hasButtons(e),u=this.hasLogo!==r.displaylogo,c=this.locale!==r.locale;if(this.locale=r.locale,(l||u||c)&amp;&amp;(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var f=this.getLogo();r.watermark&amp;&amp;(f.className=f.className+&quot; watermark&quot;),&quot;v&quot;===n.modebar.orientation?this.element.insertBefore(f,this.element.childNodes[0]):this.element.appendChild(f),this.hasLogo=!0}this.updateActiveButton()},u.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach(function(t){var r=e.createGroup();t.forEach(function(t){var n=t.name;if(!n)throw new Error(&quot;must provide button &#x27;name&#x27; in button config&quot;);if(-1!==e.buttonsNames.indexOf(n))throw new Error(&quot;button name &#x27;&quot;+n+&quot;&#x27; is taken&quot;);e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)}),e.element.appendChild(r)})},u.createGroup=function(){var t=document.createElement(&quot;div&quot;);return t.className=&quot;modebar-group&quot;,t},u.createButton=function(t){var e=this,r=document.createElement(&quot;a&quot;);r.setAttribute(&quot;rel&quot;,&quot;tooltip&quot;),r.className=&quot;modebar-btn&quot;;var i=t.title;void 0===i?i=t.name:&quot;function&quot;==typeof i&amp;&amp;(i=i(this.graphInfo)),(i||0===i)&amp;&amp;r.setAttribute(&quot;data-title&quot;,i),void 0!==t.attr&amp;&amp;r.setAttribute(&quot;data-attr&quot;,t.attr);var a=t.val;if(void 0!==a&amp;&amp;(&quot;function&quot;==typeof a&amp;&amp;(a=a(this.graphInfo)),r.setAttribute(&quot;data-val&quot;,a)),&quot;function&quot;!=typeof t.click)throw new Error(&quot;must provide button &#x27;click&#x27; function in button config&quot;);r.addEventListener(&quot;click&quot;,function(r){t.click(e.graphInfo,r),e.updateActiveButton(r.currentTarget)}),r.setAttribute(&quot;data-toggle&quot;,t.toggle||!1),t.toggle&amp;&amp;n.select(r).classed(&quot;active&quot;,!0);var s=t.icon;return&quot;function&quot;==typeof s?r.appendChild(s()):r.appendChild(this.createIcon(s||o.question)),r.setAttribute(&quot;data-gravity&quot;,t.gravity||&quot;n&quot;),r},u.createIcon=function(t){var e,r=i(t.height)?Number(t.height):t.ascent-t.descent,n=&quot;http://www.w3.org/2000/svg&quot;;if(t.path){(e=document.createElementNS(n,&quot;svg&quot;)).setAttribute(&quot;viewBox&quot;,[0,0,t.width,r].join(&quot; &quot;)),e.setAttribute(&quot;class&quot;,&quot;icon&quot;);var a=document.createElementNS(n,&quot;path&quot;);a.setAttribute(&quot;d&quot;,t.path),t.transform?a.setAttribute(&quot;transform&quot;,t.transform):void 0!==t.ascent&amp;&amp;a.setAttribute(&quot;transform&quot;,&quot;matrix(1 0 0 -1 0 &quot;+t.ascent+&quot;)&quot;),e.appendChild(a)}t.svg&amp;&amp;(e=s.parseFromString(t.svg,&quot;application/xml&quot;).childNodes[0]);return e.setAttribute(&quot;height&quot;,&quot;1em&quot;),e.setAttribute(&quot;width&quot;,&quot;1em&quot;),e},u.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(&quot;data-attr&quot;):null;this.buttonElements.forEach(function(t){var i=t.getAttribute(&quot;data-val&quot;)||!0,o=t.getAttribute(&quot;data-attr&quot;),s=&quot;true&quot;===t.getAttribute(&quot;data-toggle&quot;),l=n.select(t);if(s)o===r&amp;&amp;l.classed(&quot;active&quot;,!l.classed(&quot;active&quot;));else{var u=null===o?o:a.nestedProperty(e,o).get();l.classed(&quot;active&quot;,u===i)}})},u.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r&lt;t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n&lt;t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},u.getLogo=function(){var t=this.createGroup(),e=document.createElement(&quot;a&quot;);return e.href=&quot;https://plot.ly/&quot;,e.target=&quot;_blank&quot;,e.setAttribute(&quot;data-title&quot;,a._(this.graphInfo,&quot;Produced with Plotly&quot;)),e.className=&quot;modebar-btn plotlyjsicon modebar-btn--logo&quot;,e.appendChild(this.createIcon(o.newplotlylogo)),t.appendChild(e),t},u.removeAllButtons=function(){for(;this.element.firstChild;)this.element.removeChild(this.element.firstChild);this.hasLogo=!1},u.destroy=function(){a.removeElement(this.container.querySelector(&quot;.modebar&quot;)),a.deleteRelatedStyleRule(this._uid)},e.exports=function(t,e){var r=t._fullLayout,i=new l({graphInfo:t,container:r._modebardiv.node(),buttons:e});return r._privateplot&amp;&amp;n.select(i.element).append(&quot;span&quot;).classed(&quot;badge-private float--left&quot;,!0).text(&quot;PRIVATE&quot;),i}},{&quot;../../../build/ploticon&quot;:2,&quot;../../lib&quot;:495,d3:81,&quot;fast-isnumeric&quot;:90}],438:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../plots/font_attributes&quot;),i=t(&quot;../color/attributes&quot;),a=(0,t(&quot;../../plot_api/plot_template&quot;).templatedArray)(&quot;button&quot;,{visible:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;plot&quot;},step:{valType:&quot;enumerated&quot;,values:[&quot;month&quot;,&quot;year&quot;,&quot;day&quot;,&quot;hour&quot;,&quot;minute&quot;,&quot;second&quot;,&quot;all&quot;],dflt:&quot;month&quot;,editType:&quot;plot&quot;},stepmode:{valType:&quot;enumerated&quot;,values:[&quot;backward&quot;,&quot;todate&quot;],dflt:&quot;backward&quot;,editType:&quot;plot&quot;},count:{valType:&quot;number&quot;,min:0,dflt:1,editType:&quot;plot&quot;},label:{valType:&quot;string&quot;,editType:&quot;plot&quot;},editType:&quot;plot&quot;});e.exports={visible:{valType:&quot;boolean&quot;,editType:&quot;plot&quot;},buttons:a,x:{valType:&quot;number&quot;,min:-2,max:3,editType:&quot;plot&quot;},xanchor:{valType:&quot;enumerated&quot;,values:[&quot;auto&quot;,&quot;left&quot;,&quot;center&quot;,&quot;right&quot;],dflt:&quot;left&quot;,editType:&quot;plot&quot;},y:{valType:&quot;number&quot;,min:-2,max:3,editType:&quot;plot&quot;},yanchor:{valType:&quot;enumerated&quot;,values:[&quot;auto&quot;,&quot;top&quot;,&quot;middle&quot;,&quot;bottom&quot;],dflt:&quot;bottom&quot;,editType:&quot;plot&quot;},font:n({editType:&quot;plot&quot;}),bgcolor:{valType:&quot;color&quot;,dflt:i.lightLine,editType:&quot;plot&quot;},activecolor:{valType:&quot;color&quot;,editType:&quot;plot&quot;},bordercolor:{valType:&quot;color&quot;,dflt:i.defaultLine,editType:&quot;plot&quot;},borderwidth:{valType:&quot;number&quot;,min:0,dflt:0,editType:&quot;plot&quot;},editType:&quot;plot&quot;}},{&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/font_attributes&quot;:567,&quot;../color/attributes&quot;:375}],439:[function(t,e,r){&quot;use strict&quot;;e.exports={yPad:.02,minButtonWidth:30,rx:3,ry:3,lightAmount:25,darkAmount:10}},{}],440:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../color&quot;),a=t(&quot;../../plot_api/plot_template&quot;),o=t(&quot;../../plots/array_container_defaults&quot;),s=t(&quot;./attributes&quot;),l=t(&quot;./constants&quot;);function u(t,e,r,i){var a=i.calendar;function o(r,i){return n.coerce(t,e,s.buttons,r,i)}if(o(&quot;visible&quot;)){var l=o(&quot;step&quot;);&quot;all&quot;!==l&amp;&amp;(!a||&quot;gregorian&quot;===a||&quot;month&quot;!==l&amp;&amp;&quot;year&quot;!==l?o(&quot;stepmode&quot;):e.stepmode=&quot;backward&quot;,o(&quot;count&quot;)),o(&quot;label&quot;)}}e.exports=function(t,e,r,c,f){var h=t.rangeselector||{},d=a.newContainer(e,&quot;rangeselector&quot;);function p(t,e){return n.coerce(h,d,s,t,e)}if(p(&quot;visible&quot;,o(h,d,{name:&quot;buttons&quot;,handleItemDefaults:u,calendar:f}).length&gt;0)){var g=function(t,e,r){for(var n=r.filter(function(r){return e[r].anchor===t._id}),i=0,a=0;a&lt;n.length;a++){var o=e[n[a]].domain;o&amp;&amp;(i=Math.max(o[1],i))}return[t.domain[0],i+l.yPad]}(e,r,c);p(&quot;x&quot;,g[0]),p(&quot;y&quot;,g[1]),n.noneOrAll(t,e,[&quot;x&quot;,&quot;y&quot;]),p(&quot;xanchor&quot;),p(&quot;yanchor&quot;),n.coerceFont(p,&quot;font&quot;,r.font);var v=p(&quot;bgcolor&quot;);p(&quot;activecolor&quot;,i.contrast(v,l.lightAmount,l.darkAmount)),p(&quot;bordercolor&quot;),p(&quot;borderwidth&quot;)}}},{&quot;../../lib&quot;:495,&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/array_container_defaults&quot;:537,&quot;../color&quot;:376,&quot;./attributes&quot;:438,&quot;./constants&quot;:439}],441:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;../../registry&quot;),a=t(&quot;../../plots/plots&quot;),o=t(&quot;../color&quot;),s=t(&quot;../drawing&quot;),l=t(&quot;../../lib&quot;),u=t(&quot;../../lib/svg_text_utils&quot;),c=t(&quot;../../plots/cartesian/axis_ids&quot;),f=t(&quot;../../constants/alignment&quot;),h=f.LINE_SPACING,d=f.FROM_TL,p=f.FROM_BR,g=t(&quot;./constants&quot;),v=t(&quot;./get_update_object&quot;);function m(t){return t._id}function y(t,e,r){var n=l.ensureSingle(t,&quot;rect&quot;,&quot;selector-rect&quot;,function(t){t.attr(&quot;shape-rendering&quot;,&quot;crispEdges&quot;)});n.attr({rx:g.rx,ry:g.ry}),n.call(o.stroke,e.bordercolor).call(o.fill,function(t,e){return e._isActive||e._isHovered?t.activecolor:t.bgcolor}(e,r)).style(&quot;stroke-width&quot;,e.borderwidth+&quot;px&quot;)}function b(t,e,r,n){l.ensureSingle(t,&quot;text&quot;,&quot;selector-text&quot;,function(t){t.classed(&quot;user-select-none&quot;,!0).attr(&quot;text-anchor&quot;,&quot;middle&quot;)}).call(s.font,e.font).text(function(t,e){if(t.label)return e?l.templateString(t.label,{meta:e}):t.label;return&quot;all&quot;===t.step?&quot;all&quot;:t.count+t.step.charAt(0)}(r,n._fullLayout.meta)).call(function(t){u.convertToTspans(t,n)})}e.exports=function(t){var e=t._fullLayout._infolayer.selectAll(&quot;.rangeselector&quot;).data(function(t){for(var e=c.list(t,&quot;x&quot;,!0),r=[],n=0;n&lt;e.length;n++){var i=e[n];i.rangeselector&amp;&amp;i.rangeselector.visible&amp;&amp;r.push(i)}return r}(t),m);e.enter().append(&quot;g&quot;).classed(&quot;rangeselector&quot;,!0),e.exit().remove(),e.style({cursor:&quot;pointer&quot;,&quot;pointer-events&quot;:&quot;all&quot;}),e.each(function(e){var r=n.select(this),o=e,c=o.rangeselector,f=r.selectAll(&quot;g.button&quot;).data(l.filterVisible(c.buttons));f.enter().append(&quot;g&quot;).classed(&quot;button&quot;,!0),f.exit().remove(),f.each(function(e){var r=n.select(this),a=v(o,e);e._isActive=function(t,e,r){if(&quot;all&quot;===e.step)return!0===t.autorange;var n=Object.keys(r);return t.range[0]===r[n[0]]&amp;&amp;t.range[1]===r[n[1]]}(o,e,a),r.call(y,c,e),r.call(b,c,e,t),r.on(&quot;click&quot;,function(){t._dragged||i.call(&quot;_guiRelayout&quot;,t,a)}),r.on(&quot;mouseover&quot;,function(){e._isHovered=!0,r.call(y,c,e)}),r.on(&quot;mouseout&quot;,function(){e._isHovered=!1,r.call(y,c,e)})}),function(t,e,r,i,o){var c=0,f=0,v=r.borderwidth;e.each(function(){var t=n.select(this),e=t.select(&quot;.selector-text&quot;),i=r.font.size*h,a=Math.max(i*u.lineCount(e),16)+3;f=Math.max(f,a)}),e.each(function(){var t=n.select(this),e=t.select(&quot;.selector-rect&quot;),i=t.select(&quot;.selector-text&quot;),a=i.node()&amp;&amp;s.bBox(i.node()).width,o=r.font.size*h,l=u.lineCount(i),d=Math.max(a+10,g.minButtonWidth);t.attr(&quot;transform&quot;,&quot;translate(&quot;+(v+c)+&quot;,&quot;+v+&quot;)&quot;),e.attr({x:0,y:0,width:d,height:f}),u.positionText(i,d/2,f/2-(l-1)*o/2+3),c+=d+5});var m=t._fullLayout._size,y=m.l+m.w*r.x,b=m.t+m.h*(1-r.y),x=&quot;left&quot;;l.isRightAnchor(r)&amp;&amp;(y-=c,x=&quot;right&quot;);l.isCenterAnchor(r)&amp;&amp;(y-=c/2,x=&quot;center&quot;);var _=&quot;top&quot;;l.isBottomAnchor(r)&amp;&amp;(b-=f,_=&quot;bottom&quot;);l.isMiddleAnchor(r)&amp;&amp;(b-=f/2,_=&quot;middle&quot;);c=Math.ceil(c),f=Math.ceil(f),y=Math.round(y),b=Math.round(b),a.autoMargin(t,i+&quot;-range-selector&quot;,{x:r.x,y:r.y,l:c*d[x],r:c*p[x],b:f*p[_],t:f*d[_]}),o.attr(&quot;transform&quot;,&quot;translate(&quot;+y+&quot;,&quot;+b+&quot;)&quot;)}(t,f,c,o._name,r)})}},{&quot;../../constants/alignment&quot;:471,&quot;../../lib&quot;:495,&quot;../../lib/svg_text_utils&quot;:518,&quot;../../plots/cartesian/axis_ids&quot;:544,&quot;../../plots/plots&quot;:584,&quot;../../registry&quot;:592,&quot;../color&quot;:376,&quot;../drawing&quot;:397,&quot;./constants&quot;:439,&quot;./get_update_object&quot;:442,d3:81}],442:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;);e.exports=function(t,e){var r=t._name,i={};if(&quot;all&quot;===e.step)i[r+&quot;.autorange&quot;]=!0;else{var a=function(t,e){var r,i=t.range,a=new 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n=t(&quot;../color/attributes&quot;);e.exports={bgcolor:{valType:&quot;color&quot;,dflt:n.background,editType:&quot;plot&quot;},bordercolor:{valType:&quot;color&quot;,dflt:n.defaultLine,editType:&quot;plot&quot;},borderwidth:{valType:&quot;integer&quot;,dflt:0,min:0,editType:&quot;plot&quot;},autorange:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;calc&quot;,impliedEdits:{&quot;range[0]&quot;:void 0,&quot;range[1]&quot;:void 0}},range:{valType:&quot;info_array&quot;,items:[{valType:&quot;any&quot;,editType:&quot;calc&quot;,impliedEdits:{&quot;^autorange&quot;:!1}},{valType:&quot;any&quot;,editType:&quot;calc&quot;,impliedEdits:{&quot;^autorange&quot;:!1}}],editType:&quot;calc&quot;,impliedEdits:{autorange:!1}},thickness:{valType:&quot;number&quot;,dflt:.15,min:0,max:1,editType:&quot;plot&quot;},visible:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;calc&quot;},editType:&quot;calc&quot;}},{&quot;../color/attributes&quot;:375}],445:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../plots/cartesian/axis_ids&quot;).list,i=t(&quot;../../plots/cartesian/autorange&quot;).getAutoRange,a=t(&quot;./constants&quot;);e.exports=function(t){for(var e=n(t,&quot;x&quot;,!0),r=0;r&lt;e.length;r++){var o=e[r],s=o[a.name];s&amp;&amp;s.visible&amp;&amp;s.autorange&amp;&amp;(s._input.autorange=!0,s._input.range=s.range=i(t,o))}}},{&quot;../../plots/cartesian/autorange&quot;:540,&quot;../../plots/cartesian/axis_ids&quot;:544,&quot;./constants&quot;:446}],446:[function(t,e,r){&quot;use 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strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../plot_api/plot_template&quot;),a=t(&quot;../../plots/cartesian/axis_ids&quot;),o=t(&quot;./attributes&quot;),s=t(&quot;./oppaxis_attributes&quot;);e.exports=function(t,e,r){var l=t[r],u=e[r];if(l.rangeslider||e._requestRangeslider[u._id]){n.isPlainObject(l.rangeslider)||(l.rangeslider={});var c,f,h=l.rangeslider,d=i.newContainer(u,&quot;rangeslider&quot;);if(_(&quot;visible&quot;)){_(&quot;bgcolor&quot;,e.plot_bgcolor),_(&quot;bordercolor&quot;),_(&quot;borderwidth&quot;),_(&quot;thickness&quot;),_(&quot;autorange&quot;,!u.isValidRange(h.range)),_(&quot;range&quot;);var p=e._subplots;if(p)for(var g=p.cartesian.filter(function(t){return t.substr(0,t.indexOf(&quot;y&quot;))===a.name2id(r)}).map(function(t){return t.substr(t.indexOf(&quot;y&quot;),t.length)}),v=n.simpleMap(g,a.id2name),m=0;m&lt;v.length;m++){var y=v[m];c=h[y]||{},f=i.newContainer(d,y,&quot;yaxis&quot;);var b,x=e[y];c.range&amp;&amp;x.isValidRange(c.range)&amp;&amp;(b=&quot;fixed&quot;),&quot;match&quot;!==w(&quot;rangemode&quot;,b)&amp;&amp;w(&quot;range&quot;,x.range.slice())}d._input=h}}function _(t,e){return n.coerce(h,d,o,t,e)}function w(t,e){return n.coerce(c,f,s,t,e)}}},{&quot;../../lib&quot;:495,&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/cartesian/axis_ids&quot;:544,&quot;./attributes&quot;:444,&quot;./oppaxis_attributes&quot;:451}],448:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;../../registry&quot;),a=t(&quot;../../plots/plots&quot;),o=t(&quot;../../lib&quot;),s=t(&quot;../drawing&quot;),l=t(&quot;../color&quot;),u=t(&quot;../titles&quot;),c=t(&quot;../../plots/cartesian&quot;),f=t(&quot;../../plots/cartesian/axis_ids&quot;),h=t(&quot;../dragelement&quot;),d=t(&quot;../../lib/setcursor&quot;),p=t(&quot;./constants&quot;);function g(t,e,r,n){var i=o.ensureSingle(t,&quot;rect&quot;,p.bgClassName,function(t){t.attr({x:0,y:0,&quot;shape-rendering&quot;:&quot;crispEdges&quot;})}),a=n.borderwidth%2==0?n.borderwidth:n.borderwidth-1,l=-n._offsetShift,u=s.crispRound(e,n.borderwidth);i.attr({width:n._width+a,height:n._height+a,transform:&quot;translate(&quot;+l+&quot;,&quot;+l+&quot;)&quot;,fill:n.bgcolor,stroke:n.bordercolor,&quot;stroke-width&quot;:u})}function v(t,e,r,n){var i=e._fullLayout;o.ensureSingleById(i._topdefs,&quot;clipPath&quot;,n._clipId,function(t){t.append(&quot;rect&quot;).attr({x:0,y:0})}).select(&quot;rect&quot;).attr({width:n._width,height:n._height})}function m(t,e,r,i){var l,u=e.calcdata,h=t.selectAll(&quot;g.&quot;+p.rangePlotClassName).data(r._subplotsWith,o.identity);h.enter().append(&quot;g&quot;).attr(&quot;class&quot;,function(t){return p.rangePlotClassName+&quot; &quot;+t}).call(s.setClipUrl,i._clipId,e),h.order(),h.exit().remove(),h.each(function(t,o){var s=n.select(this),h=0===o,d=f.getFromId(e,t,&quot;y&quot;),p=d._name,g=i[p],v={data:[],layout:{xaxis:{type:r.type,domain:[0,1],range:i.range.slice(),calendar:r.calendar},width:i._width,height:i._height,margin:{t:0,b:0,l:0,r:0}},_context:e._context};v.layout[p]={type:d.type,domain:[0,1],range:&quot;match&quot;!==g.rangemode?g.range.slice():d.range.slice(),calendar:d.calendar},a.supplyDefaults(v);var m=v._fullLayout.xaxis,y=v._fullLayout[p];m.clearCalc(),m.setScale(),y.clearCalc(),y.setScale();var b={id:t,plotgroup:s,xaxis:m,yaxis:y,isRangePlot:!0};h?l=b:(b.mainplot=&quot;xy&quot;,b.mainplotinfo=l),c.rangePlot(e,b,function(t,e){for(var r=[],n=0;n&lt;t.length;n++){var i=t[n],a=i[0].trace;a.xaxis+a.yaxis===e&amp;&amp;r.push(i)}return r}(u,t))})}function y(t,e,r,n,i){(o.ensureSingle(t,&quot;rect&quot;,p.maskMinClassName,function(t){t.attr({x:0,y:0,&quot;shape-rendering&quot;:&quot;crispEdges&quot;})}).attr(&quot;height&quot;,n._height).call(l.fill,p.maskColor),o.ensureSingle(t,&quot;rect&quot;,p.maskMaxClassName,function(t){t.attr({y:0,&quot;shape-rendering&quot;:&quot;crispEdges&quot;})}).attr(&quot;height&quot;,n._height).call(l.fill,p.maskColor),&quot;match&quot;!==i.rangemode)&amp;&amp;(o.ensureSingle(t,&quot;rect&quot;,p.maskMinOppAxisClassName,function(t){t.attr({y:0,&quot;shape-rendering&quot;:&quot;crispEdges&quot;})}).attr(&quot;width&quot;,n._width).call(l.fill,p.maskOppAxisColor),o.ensureSingle(t,&quot;rect&quot;,p.maskMaxOppAxisClassName,function(t){t.attr({y:0,&quot;shape-rendering&quot;:&quot;crispEdges&quot;})}).attr(&quot;width&quot;,n._width).style(&quot;border-top&quot;,p.maskOppBorder).call(l.fill,p.maskOppAxisColor))}function b(t,e,r,n){e._context.staticPlot||o.ensureSingle(t,&quot;rect&quot;,p.slideBoxClassName,function(t){t.attr({y:0,cursor:p.slideBoxCursor,&quot;shape-rendering&quot;:&quot;crispEdges&quot;})}).attr({height:n._height,fill:p.slideBoxFill})}function x(t,e,r,n){var i=o.ensureSingle(t,&quot;g&quot;,p.grabberMinClassName),a=o.ensureSingle(t,&quot;g&quot;,p.grabberMaxClassName),s={x:0,width:p.handleWidth,rx:p.handleRadius,fill:l.background,stroke:l.defaultLine,&quot;stroke-width&quot;:p.handleStrokeWidth,&quot;shape-rendering&quot;:&quot;crispEdges&quot;},u={y:Math.round(n._height/4),height:Math.round(n._height/2)};if(o.ensureSingle(i,&quot;rect&quot;,p.handleMinClassName,function(t){t.attr(s)}).attr(u),o.ensureSingle(a,&quot;rect&quot;,p.handleMaxClassName,function(t){t.attr(s)}).attr(u),!e._context.staticPlot){var c={width:p.grabAreaWidth,x:0,y:0,fill:p.grabAreaFill,cursor:p.grabAreaCursor};o.ensureSingle(i,&quot;rect&quot;,p.grabAreaMinClassName,function(t){t.attr(c)}).attr(&quot;height&quot;,n._height),o.ensureSingle(a,&quot;rect&quot;,p.grabAreaMaxClassName,function(t){t.attr(c)}).attr(&quot;height&quot;,n._height)}}e.exports=function(t){for(var e=t._fullLayout,r=e._rangeSliderData,a=0;a&lt;r.length;a++){var s=r[a][p.name];s._clipId=s._id+&quot;-&quot;+e._uid}var l=e._infolayer.selectAll(&quot;g.&quot;+p.containerClassName).data(r,function(t){return t._name});l.exit().each(function(t){var r=t[p.name];e._topdefs.select(&quot;#&quot;+r._clipId).remove()}).remove(),0!==r.length&amp;&amp;(l.enter().append(&quot;g&quot;).classed(p.containerClassName,!0).attr(&quot;pointer-events&quot;,&quot;all&quot;),l.each(function(r){var a=n.select(this),s=r[p.name],l=e[f.id2name(r.anchor)],c=s[f.id2name(r.anchor)];if(s.range){var 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e._shapeUpperLayer.selectAll(&quot;path&quot;).remove(),e._shapeLowerLayer.selectAll(&quot;path&quot;).remove(),e._plots){var n=e._plots[r].shapelayer;n&amp;&amp;n.selectAll(&quot;path&quot;).remove()}for(var i=0;i&lt;e.shapes.length;i++)e.shapes[i].visible&amp;&amp;d(t,i)},drawOne:d}},{&quot;../../lib&quot;:495,&quot;../../lib/setcursor&quot;:514,&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/cartesian/axes&quot;:541,&quot;../../registry&quot;:592,&quot;../color&quot;:376,&quot;../dragelement&quot;:394,&quot;../drawing&quot;:397,&quot;./constants&quot;:454,&quot;./helpers&quot;:457}],457:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./constants&quot;),i=t(&quot;../../lib&quot;);r.rangeToShapePosition=function(t){return&quot;log&quot;===t.type?t.r2d:function(t){return t}},r.shapePositionToRange=function(t){return&quot;log&quot;===t.type?t.d2r:function(t){return t}},r.decodeDate=function(t){return function(e){return e.replace&amp;&amp;(e=e.replace(&quot;_&quot;,&quot; &quot;)),t(e)}},r.encodeDate=function(t){return function(e){return t(e).replace(&quot; &quot;,&quot;_&quot;)}},r.extractPathCoords=function(t,e){var r=[];return t.match(n.segmentRE).forEach(function(t){var a=e[t.charAt(0)].drawn;if(void 0!==a){var o=t.substr(1).match(n.paramRE);!o||o.length&lt;a||r.push(i.cleanNumber(o[a]))}}),r},r.getDataToPixel=function(t,e,n){var i,a=t._fullLayout._size;if(e){var o=r.shapePositionToRange(e);i=function(t){return e._offset+e.r2p(o(t,!0))},&quot;date&quot;===e.type&amp;&amp;(i=r.decodeDate(i))}else i=n?function(t){return a.t+a.h*(1-t)}:function(t){return a.l+a.w*t};return i},r.getPixelToData=function(t,e,n){var i,a=t._fullLayout._size;if(e){var o=r.rangeToShapePosition(e);i=function(t){return o(e.p2r(t-e._offset))}}else i=n?function(t){return 1-(t-a.t)/a.h}:function(t){return(t-a.l)/a.w};return i},r.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n}},{&quot;../../lib&quot;:495,&quot;./constants&quot;:454}],458:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./draw&quot;);e.exports={moduleType:&quot;component&quot;,name:&quot;shapes&quot;,layoutAttributes:t(&quot;./attributes&quot;),supplyLayoutDefaults:t(&quot;./defaults&quot;),includeBasePlot:t(&quot;../../plots/cartesian/include_components&quot;)(&quot;shapes&quot;),calcAutorange:t(&quot;./calc_autorange&quot;),draw:n.draw,drawOne:n.drawOne}},{&quot;../../plots/cartesian/include_components&quot;:551,&quot;./attributes&quot;:452,&quot;./calc_autorange&quot;:453,&quot;./defaults&quot;:455,&quot;./draw&quot;:456}],459:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../plots/font_attributes&quot;),i=t(&quot;../../plots/pad_attributes&quot;),a=t(&quot;../../lib/extend&quot;).extendDeepAll,o=t(&quot;../../plot_api/edit_types&quot;).overrideAll,s=t(&quot;../../plots/animation_attributes&quot;),l=t(&quot;../../plot_api/plot_template&quot;).templatedArray,u=t(&quot;./constants&quot;),c=l(&quot;step&quot;,{visible:{valType:&quot;boolean&quot;,dflt:!0},method:{valType:&quot;enumerated&quot;,values:[&quot;restyle&quot;,&quot;relayout&quot;,&quot;animate&quot;,&quot;update&quot;,&quot;skip&quot;],dflt:&quot;restyle&quot;},args:{valType:&quot;info_array&quot;,freeLength:!0,items:[{valType:&quot;any&quot;},{valType:&quot;any&quot;},{valType:&quot;any&quot;}]},label:{valType:&quot;string&quot;},value:{valType:&quot;string&quot;},execute:{valType:&quot;boolean&quot;,dflt:!0}});e.exports=o(l(&quot;slider&quot;,{visible:{valType:&quot;boolean&quot;,dflt:!0},active:{valType:&quot;number&quot;,min:0,dflt:0},steps:c,lenmode:{valType:&quot;enumerated&quot;,values:[&quot;fraction&quot;,&quot;pixels&quot;],dflt:&quot;fraction&quot;},len:{valType:&quot;number&quot;,min:0,dflt:1},x:{valType:&quot;number&quot;,min:-2,max:3,dflt:0},pad:a(i({editType:&quot;arraydraw&quot;}),{},{t:{dflt:20}}),xanchor:{valType:&quot;enumerated&quot;,values:[&quot;auto&quot;,&quot;left&quot;,&quot;center&quot;,&quot;right&quot;],dflt:&quot;left&quot;},y:{valType:&quot;number&quot;,min:-2,max:3,dflt:0},yanchor:{valType:&quot;enumerated&quot;,values:[&quot;auto&quot;,&quot;top&quot;,&quot;middle&quot;,&quot;bottom&quot;],dflt:&quot;top&quot;},transition:{duration:{valType:&quot;number&quot;,min:0,dflt:150},easing:{valType:&quot;enumerated&quot;,values:s.transition.easing.values,dflt:&quot;cubic-in-out&quot;}},currentvalue:{visible:{valType:&quot;boolean&quot;,dflt:!0},xanchor:{valType:&quot;enumerated&quot;,values:[&quot;left&quot;,&quot;center&quot;,&quot;right&quot;],dflt:&quot;left&quot;},offset:{valType:&quot;number&quot;,dflt:10},prefix:{valType:&quot;string&quot;},suffix:{valType:&quot;string&quot;},font:n({})},font:n({}),activebgcolor:{valType:&quot;color&quot;,dflt:u.gripBgActiveColor},bgcolor:{valType:&quot;color&quot;,dflt:u.railBgColor},bordercolor:{valType:&quot;color&quot;,dflt:u.railBorderColor},borderwidth:{valType:&quot;number&quot;,min:0,dflt:u.railBorderWidth},ticklen:{valType:&quot;number&quot;,min:0,dflt:u.tickLength},tickcolor:{valType:&quot;color&quot;,dflt:u.tickColor},tickwidth:{valType:&quot;number&quot;,min:0,dflt:1},minorticklen:{valType:&quot;number&quot;,min:0,dflt:u.minorTickLength}}),&quot;arraydraw&quot;,&quot;from-root&quot;)},{&quot;../../lib/extend&quot;:488,&quot;../../plot_api/edit_types&quot;:524,&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/animation_attributes&quot;:536,&quot;../../plots/font_attributes&quot;:567,&quot;../../plots/pad_attributes&quot;:583,&quot;./constants&quot;:460}],460:[function(t,e,r){&quot;use strict&quot;;e.exports={name:&quot;sliders&quot;,containerClassName:&quot;slider-container&quot;,groupClassName:&quot;slider-group&quot;,inputAreaClass:&quot;slider-input-area&quot;,railRectClass:&quot;slider-rail-rect&quot;,railTouchRectClass:&quot;slider-rail-touch-rect&quot;,gripRectClass:&quot;slider-grip-rect&quot;,tickRectClass:&quot;slider-tick-rect&quot;,inputProxyClass:&quot;slider-input-proxy&quot;,labelsClass:&quot;slider-labels&quot;,labelGroupClass:&quot;slider-label-group&quot;,labelClass:&quot;slider-label&quot;,currentValueClass:&quot;slider-current-value&quot;,railHeight:5,menuIndexAttrName:&quot;slider-active-index&quot;,autoMarginIdRoot:&quot;slider-&quot;,minWidth:30,minHeight:30,textPadX:40,arrowOffsetX:4,railRadius:2,railWidth:5,railBorder:4,railBorderWidth:1,railBorderColor:&quot;#bec8d9&quot;,railBgColor:&quot;#f8fafc&quot;,railInset:8,stepInset:10,gripRadius:10,gripWidth:20,gripHeight:20,gripBorder:20,gripBorderWidth:1,gripBorderColor:&quot;#bec8d9&quot;,gripBgColor:&quot;#f6f8fa&quot;,gripBgActiveColor:&quot;#dbdde0&quot;,labelPadding:8,labelOffset:0,tickWidth:1,tickColor:&quot;#333&quot;,tickOffset:25,tickLength:7,minorTickOffset:25,minorTickColor:&quot;#333&quot;,minorTickLength:4,currentValuePadding:8,currentValueInset:0}},{}],461:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../plots/array_container_defaults&quot;),a=t(&quot;./attributes&quot;),o=t(&quot;./constants&quot;).name,s=a.steps;function l(t,e,r){function o(r,i){return n.coerce(t,e,a,r,i)}for(var s=i(t,e,{name:&quot;steps&quot;,handleItemDefaults:u}),l=0,c=0;c&lt;s.length;c++)s[c].visible&amp;&amp;l++;if(l&lt;2?e.visible=!1:o(&quot;visible&quot;)){e._stepCount=l;var f=e._visibleSteps=n.filterVisible(s);(s[o(&quot;active&quot;)]||{}).visible||(e.active=f[0]._index),o(&quot;x&quot;),o(&quot;y&quot;),n.noneOrAll(t,e,[&quot;x&quot;,&quot;y&quot;]),o(&quot;xanchor&quot;),o(&quot;yanchor&quot;),o(&quot;len&quot;),o(&quot;lenmode&quot;),o(&quot;pad.t&quot;),o(&quot;pad.r&quot;),o(&quot;pad.b&quot;),o(&quot;pad.l&quot;),n.coerceFont(o,&quot;font&quot;,r.font),o(&quot;currentvalue.visible&quot;)&amp;&amp;(o(&quot;currentvalue.xanchor&quot;),o(&quot;currentvalue.prefix&quot;),o(&quot;currentvalue.suffix&quot;),o(&quot;currentvalue.offset&quot;),n.coerceFont(o,&quot;currentvalue.font&quot;,e.font)),o(&quot;transition.duration&quot;),o(&quot;transition.easing&quot;),o(&quot;bgcolor&quot;),o(&quot;activebgcolor&quot;),o(&quot;bordercolor&quot;),o(&quot;borderwidth&quot;),o(&quot;ticklen&quot;),o(&quot;tickwidth&quot;),o(&quot;tickcolor&quot;),o(&quot;minorticklen&quot;)}}function u(t,e){function r(r,i){return n.coerce(t,e,s,r,i)}if(&quot;skip&quot;===t.method||Array.isArray(t.args)?r(&quot;visible&quot;):e.visible=!1){r(&quot;method&quot;),r(&quot;args&quot;);var i=r(&quot;label&quot;,&quot;step-&quot;+e._index);r(&quot;value&quot;,i),r(&quot;execute&quot;)}}e.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},{&quot;../../lib&quot;:495,&quot;../../plots/array_container_defaults&quot;:537,&quot;./attributes&quot;:459,&quot;./constants&quot;:460}],462:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;../../plots/plots&quot;),a=t(&quot;../color&quot;),o=t(&quot;../drawing&quot;),s=t(&quot;../../lib&quot;),l=t(&quot;../../lib/svg_text_utils&quot;),u=t(&quot;../../plot_api/plot_template&quot;).arrayEditor,c=t(&quot;./constants&quot;),f=t(&quot;../../constants/alignment&quot;),h=f.LINE_SPACING,d=f.FROM_TL,p=f.FROM_BR;function g(t){return c.autoMarginIdRoot+t._index}function v(t){return t._index}function m(t,e){var r=o.tester.selectAll(&quot;g.&quot;+c.labelGroupClass).data(e._visibleSteps);r.enter().append(&quot;g&quot;).classed(c.labelGroupClass,!0);var a=0,u=0;r.each(function(t){var r=x(n.select(this),{step:t},e).node();if(r){var i=o.bBox(r);u=Math.max(u,i.height),a=Math.max(a,i.width)}}),r.remove();var f=e._dims={};f.inputAreaWidth=Math.max(c.railWidth,c.gripHeight);var h=t._fullLayout._size;f.lx=h.l+h.w*e.x,f.ly=h.t+h.h*(1-e.y),&quot;fraction&quot;===e.lenmode?f.outerLength=Math.round(h.w*e.len):f.outerLength=e.len,f.inputAreaStart=0,f.inputAreaLength=Math.round(f.outerLength-e.pad.l-e.pad.r);var v=(f.inputAreaLength-2*c.stepInset)/(e._stepCount-1),m=a+c.labelPadding;if(f.labelStride=Math.max(1,Math.ceil(m/v)),f.labelHeight=u,f.currentValueMaxWidth=0,f.currentValueHeight=0,f.currentValueTotalHeight=0,f.currentValueMaxLines=1,e.currentvalue.visible){var b=o.tester.append(&quot;g&quot;);r.each(function(t){var r=y(b,e,t.label),n=r.node()&amp;&amp;o.bBox(r.node())||{width:0,height:0},i=l.lineCount(r);f.currentValueMaxWidth=Math.max(f.currentValueMaxWidth,Math.ceil(n.width)),f.currentValueHeight=Math.max(f.currentValueHeight,Math.ceil(n.height)),f.currentValueMaxLines=Math.max(f.currentValueMaxLines,i)}),f.currentValueTotalHeight=f.currentValueHeight+e.currentvalue.offset,b.remove()}f.height=f.currentValueTotalHeight+c.tickOffset+e.ticklen+c.labelOffset+f.labelHeight+e.pad.t+e.pad.b;var _=&quot;left&quot;;s.isRightAnchor(e)&amp;&amp;(f.lx-=f.outerLength,_=&quot;right&quot;),s.isCenterAnchor(e)&amp;&amp;(f.lx-=f.outerLength/2,_=&quot;center&quot;);var w=&quot;top&quot;;s.isBottomAnchor(e)&amp;&amp;(f.ly-=f.height,w=&quot;bottom&quot;),s.isMiddleAnchor(e)&amp;&amp;(f.ly-=f.height/2,w=&quot;middle&quot;),f.outerLength=Math.ceil(f.outerLength),f.height=Math.ceil(f.height),f.lx=Math.round(f.lx),f.ly=Math.round(f.ly);var 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a&amp;&amp;(i=s.templateString(i,{meta:a})),n.call(o.font,r.font).text(i).call(l.convertToTspans,r._gd),n}function _(t,e){var r=s.ensureSingle(t,&quot;g&quot;,c.labelsClass),i=e._dims,a=r.selectAll(&quot;g.&quot;+c.labelGroupClass).data(i.labelSteps);a.enter().append(&quot;g&quot;).classed(c.labelGroupClass,!0),a.exit().remove(),a.each(function(t){var r=n.select(this);r.call(x,t,e),o.setTranslate(r,E(e,t.fraction),c.tickOffset+e.ticklen+e.font.size*h+c.labelOffset+i.currentValueTotalHeight)})}function w(t,e,r,n,i){var a=Math.round(n*(r._stepCount-1)),o=r._visibleSteps[a]._index;o!==r.active&amp;&amp;A(t,e,r,o,!0,i)}function A(t,e,r,n,a,o){var s=r.active;r.active=n,u(t.layout,c.name,r).applyUpdate(&quot;active&quot;,n);var l=r.steps[r.active];e.call(k,r,o),e.call(y,r),t.emit(&quot;plotly_sliderchange&quot;,{slider:r,step:r.steps[r.active],interaction:a,previousActive:s}),l&amp;&amp;l.method&amp;&amp;a&amp;&amp;(e._nextMethod?(e._nextMethod.step=l,e._nextMethod.doCallback=a,e._nextMethod.doTransition=o):(e._nextMethod={step:l,doCallback:a,doTransition:o},e._nextMethodRaf=window.requestAnimationFrame(function(){var r=e._nextMethod.step;r.method&amp;&amp;(r.execute&amp;&amp;i.executeAPICommand(t,r.method,r.args),e._nextMethod=null,e._nextMethodRaf=null)})))}function M(t,e,r){var i=r.node(),o=n.select(e);function s(){return r.data()[0]}t.on(&quot;mousedown&quot;,function(){var t=s();e.emit(&quot;plotly_sliderstart&quot;,{slider:t});var l=r.select(&quot;.&quot;+c.gripRectClass);n.event.stopPropagation(),n.event.preventDefault(),l.call(a.fill,t.activebgcolor);var u=L(t,n.mouse(i)[0]);w(e,r,t,u,!0),t._dragging=!0,o.on(&quot;mousemove&quot;,function(){var 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o=E(e,i/(e._stepCount-1));if(!e._invokingCommand){var s=n;r&amp;&amp;e.transition.duration&gt;0&amp;&amp;(s=s.transition().duration(e.transition.duration).ease(e.transition.easing)),s.attr(&quot;transform&quot;,&quot;translate(&quot;+(o-.5*c.gripWidth)+&quot;,&quot;+e._dims.currentValueTotalHeight+&quot;)&quot;)}}function E(t,e){var r=t._dims;return r.inputAreaStart+c.stepInset+(r.inputAreaLength-2*c.stepInset)*Math.min(1,Math.max(0,e))}function L(t,e){var r=t._dims;return Math.min(1,Math.max(0,(e-c.stepInset-r.inputAreaStart)/(r.inputAreaLength-2*c.stepInset-2*r.inputAreaStart)))}function S(t,e,r){var n=r._dims,i=s.ensureSingle(t,&quot;rect&quot;,c.railTouchRectClass,function(n){n.call(M,e,t,r).style(&quot;pointer-events&quot;,&quot;all&quot;)});i.attr({width:n.inputAreaLength,height:Math.max(n.inputAreaWidth,c.tickOffset+r.ticklen+n.labelHeight)}).call(a.fill,r.bgcolor).attr(&quot;opacity&quot;,0),o.setTranslate(i,0,n.currentValueTotalHeight)}function C(t,e){var r=e._dims,n=r.inputAreaLength-2*c.railInset,i=s.ensureSingle(t,&quot;rect&quot;,c.railRectClass);i.attr({width:n,height:c.railWidth,rx:c.railRadius,ry:c.railRadius,&quot;shape-rendering&quot;:&quot;crispEdges&quot;}).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(&quot;stroke-width&quot;,e.borderwidth+&quot;px&quot;),o.setTranslate(i,c.railInset,.5*(r.inputAreaWidth-c.railWidth)+r.currentValueTotalHeight)}e.exports=function(t){var e=t._fullLayout,r=function(t,e){for(var r=t[c.name],n=[],i=0;i&lt;r.length;i++){var a=r[i];a.visible&amp;&amp;(a._gd=e,n.push(a))}return n}(e,t),a=e._infolayer.selectAll(&quot;g.&quot;+c.containerClassName).data(r.length&gt;0?[0]:[]);function s(e){e._commandObserver&amp;&amp;(e._commandObserver.remove(),delete 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n=r._dims;o.setTranslate(e,n.lx+r.pad.l,n.ly+r.pad.t),e.call(k,r,!1),e.call(y,r)}(t,n.select(this),e)})}}},{&quot;../../constants/alignment&quot;:471,&quot;../../lib&quot;:495,&quot;../../lib/svg_text_utils&quot;:518,&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/plots&quot;:584,&quot;../color&quot;:376,&quot;../drawing&quot;:397,&quot;./constants&quot;:460,d3:81}],463:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./constants&quot;);e.exports={moduleType:&quot;component&quot;,name:n.name,layoutAttributes:t(&quot;./attributes&quot;),supplyLayoutDefaults:t(&quot;./defaults&quot;),draw:t(&quot;./draw&quot;)}},{&quot;./attributes&quot;:459,&quot;./constants&quot;:460,&quot;./defaults&quot;:461,&quot;./draw&quot;:462}],464:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;fast-isnumeric&quot;),a=t(&quot;../../plots/plots&quot;),o=t(&quot;../../registry&quot;),s=t(&quot;../../lib&quot;),l=t(&quot;../drawing&quot;),u=t(&quot;../color&quot;),c=t(&quot;../../lib/svg_text_utils&quot;),f=t(&quot;../../constants/interactions&quot;);e.exports={draw:function(t,e,r){var d,p=r.propContainer,g=r.propName,v=r.placeholder,m=r.traceIndex,y=r.avoid||{},b=r.attributes,x=r.transform,_=r.containerGroup,w=t._fullLayout,A=1,M=!1,T=p.title,k=(T&amp;&amp;T.text?T.text:&quot;&quot;).trim(),E=T&amp;&amp;T.font?T.font:{},L=E.family,S=E.size,C=E.color;&quot;title.text&quot;===g?d=&quot;titleText&quot;:-1!==g.indexOf(&quot;axis&quot;)?d=&quot;axisTitleText&quot;:g.indexOf(!0)&amp;&amp;(d=&quot;colorbarTitleText&quot;);var O=t._context.edits[d];&quot;&quot;===k?A=0:k.replace(h,&quot; % &quot;)===v.replace(h,&quot; % &quot;)&amp;&amp;(A=.2,M=!0,O||(k=&quot;&quot;));w.meta&amp;&amp;(k=s.templateString(k,{meta:w.meta}));var R=k||O;_||(_=s.ensureSingle(w._infolayer,&quot;g&quot;,&quot;g-&quot;+e));var P=_.selectAll(&quot;text&quot;).data(R?[0]:[]);if(P.enter().append(&quot;text&quot;),P.text(k).attr(&quot;class&quot;,e),P.exit().remove(),!R)return _;function z(t){s.syncOrAsync([I,N],t)}function I(e){var r;return x?(r=&quot;&quot;,x.rotate&amp;&amp;(r+=&quot;rotate(&quot;+[x.rotate,b.x,b.y]+&quot;)&quot;),x.offset&amp;&amp;(r+=&quot;translate(0, &quot;+x.offset+&quot;)&quot;)):r=null,e.attr(&quot;transform&quot;,r),e.style({&quot;font-family&quot;:L,&quot;font-size&quot;:n.round(S,2)+&quot;px&quot;,fill:u.rgb(C),opacity:A*u.opacity(C),&quot;font-weight&quot;:a.fontWeight}).attr(b).call(c.convertToTspans,t),a.previousPromises(t)}function N(t){var e=n.select(t.node().parentNode);if(y&amp;&amp;y.selection&amp;&amp;y.side&amp;&amp;k){e.attr(&quot;transform&quot;,null);var 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n=t(&quot;../../plots/font_attributes&quot;),i=t(&quot;../color/attributes&quot;),a=t(&quot;../../lib/extend&quot;).extendFlat,o=t(&quot;../../plot_api/edit_types&quot;).overrideAll,s=t(&quot;../../plots/pad_attributes&quot;),l=t(&quot;../../plot_api/plot_template&quot;).templatedArray,u=l(&quot;button&quot;,{visible:{valType:&quot;boolean&quot;},method:{valType:&quot;enumerated&quot;,values:[&quot;restyle&quot;,&quot;relayout&quot;,&quot;animate&quot;,&quot;update&quot;,&quot;skip&quot;],dflt:&quot;restyle&quot;},args:{valType:&quot;info_array&quot;,freeLength:!0,items:[{valType:&quot;any&quot;},{valType:&quot;any&quot;},{valType:&quot;any&quot;}]},label:{valType:&quot;string&quot;,dflt:&quot;&quot;},execute:{valType:&quot;boolean&quot;,dflt:!0}});e.exports=o(l(&quot;updatemenu&quot;,{_arrayAttrRegexps:[/^updatemenus\\[(0|[1-9][0-9]+)\\]\\.buttons/],visible:{valType:&quot;boolean&quot;},type:{valType:&quot;enumerated&quot;,values:[&quot;dropdown&quot;,&quot;buttons&quot;],dflt:&quot;dropdown&quot;},direction:{valType:&quot;enumerated&quot;,values:[&quot;left&quot;,&quot;right&quot;,&quot;up&quot;,&quot;down&quot;],dflt:&quot;down&quot;},active:{valType:&quot;integer&quot;,min:-1,dflt:0},showactive:{valType:&quot;boolean&quot;,dflt:!0},buttons:u,x:{valType:&quot;number&quot;,min:-2,max:3,dflt:-.05},xanchor:{valType:&quot;enumerated&quot;,values:[&quot;auto&quot;,&quot;left&quot;,&quot;center&quot;,&quot;right&quot;],dflt:&quot;right&quot;},y:{valType:&quot;number&quot;,min:-2,max:3,dflt:1},yanchor:{valType:&quot;enumerated&quot;,values:[&quot;auto&quot;,&quot;top&quot;,&quot;middle&quot;,&quot;bottom&quot;],dflt:&quot;top&quot;},pad:a(s({editType:&quot;arraydraw&quot;}),{}),font:n({}),bgcolor:{valType:&quot;color&quot;},bordercolor:{valType:&quot;color&quot;,dflt:i.borderLine},borderwidth:{valType:&quot;number&quot;,min:0,dflt:1,editType:&quot;arraydraw&quot;}}),&quot;arraydraw&quot;,&quot;from-root&quot;)},{&quot;../../lib/extend&quot;:488,&quot;../../plot_api/edit_types&quot;:524,&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/font_attributes&quot;:567,&quot;../../plots/pad_attributes&quot;:583,&quot;../color/attributes&quot;:375}],466:[function(t,e,r){&quot;use strict&quot;;e.exports={name:&quot;updatemenus&quot;,containerClassName:&quot;updatemenu-container&quot;,headerGroupClassName:&quot;updatemenu-header-group&quot;,headerClassName:&quot;updatemenu-header&quot;,headerArrowClassName:&quot;updatemenu-header-arrow&quot;,dropdownButtonGroupClassName:&quot;updatemenu-dropdown-button-group&quot;,dropdownButtonClassName:&quot;updatemenu-dropdown-button&quot;,buttonClassName:&quot;updatemenu-button&quot;,itemRectClassName:&quot;updatemenu-item-rect&quot;,itemTextClassName:&quot;updatemenu-item-text&quot;,menuIndexAttrName:&quot;updatemenu-active-index&quot;,autoMarginIdRoot:&quot;updatemenu-&quot;,blankHeaderOpts:{label:&quot;  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n.coerce(t,e,a,r,i)}o(&quot;visible&quot;,i(t,e,{name:&quot;buttons&quot;,handleItemDefaults:u}).length&gt;0)&amp;&amp;(o(&quot;active&quot;),o(&quot;direction&quot;),o(&quot;type&quot;),o(&quot;showactive&quot;),o(&quot;x&quot;),o(&quot;y&quot;),n.noneOrAll(t,e,[&quot;x&quot;,&quot;y&quot;]),o(&quot;xanchor&quot;),o(&quot;yanchor&quot;),o(&quot;pad.t&quot;),o(&quot;pad.r&quot;),o(&quot;pad.b&quot;),o(&quot;pad.l&quot;),n.coerceFont(o,&quot;font&quot;,r.font),o(&quot;bgcolor&quot;,r.paper_bgcolor),o(&quot;bordercolor&quot;),o(&quot;borderwidth&quot;))}function u(t,e){function r(r,i){return n.coerce(t,e,s,r,i)}r(&quot;visible&quot;,&quot;skip&quot;===t.method||Array.isArray(t.args))&amp;&amp;(r(&quot;method&quot;),r(&quot;args&quot;),r(&quot;label&quot;),r(&quot;execute&quot;))}e.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},{&quot;../../lib&quot;:495,&quot;../../plots/array_container_defaults&quot;:537,&quot;./attributes&quot;:465,&quot;./constants&quot;:466}],468:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;../../plots/plots&quot;),a=t(&quot;../color&quot;),o=t(&quot;../drawing&quot;),s=t(&quot;../../lib&quot;),l=t(&quot;../../lib/svg_text_utils&quot;),u=t(&quot;../../plot_api/plot_template&quot;).arrayEditor,c=t(&quot;../../constants/alignment&quot;).LINE_SPACING,f=t(&quot;./constants&quot;),h=t(&quot;./scrollbox&quot;);function d(t){return t._index}function p(t,e){return+t.attr(f.menuIndexAttrName)===e._index}function 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a=s.ensureSingle(e,&quot;g&quot;,f.headerClassName,function(t){t.style(&quot;pointer-events&quot;,&quot;all&quot;)}),l=i._dims,u=i.active,c=i.buttons[u]||f.blankHeaderOpts,h={y:i.pad.t,yPad:0,x:i.pad.l,xPad:0,index:0},d={width:l.headerWidth,height:l.headerHeight};a.call(y,i,c,t).call(k,i,h,d),s.ensureSingle(e,&quot;text&quot;,f.headerArrowClassName,function(t){t.classed(&quot;user-select-none&quot;,!0).attr(&quot;text-anchor&quot;,&quot;end&quot;).call(o.font,i.font).text(f.arrowSymbol[i.direction])}).attr({x:l.headerWidth-f.arrowOffsetX+i.pad.l,y:l.headerHeight/2+f.textOffsetY+i.pad.t}),a.on(&quot;click&quot;,function(){r.call(E,String(p(r,i)?-1:i._index)),m(t,e,r,n,i)}),a.on(&quot;mouseover&quot;,function(){a.call(w)}),a.on(&quot;mouseout&quot;,function(){a.call(A,i)}),o.setTranslate(e,l.lx,l.ly)}function m(t,e,r,a,o){r||(r=e).attr(&quot;pointer-events&quot;,&quot;all&quot;);var 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r=n.select(this),a=&quot;dropdown&quot;===e.type?u:null;i.manageCommandObserver(t,e,e.buttons,function(n){g(t,e,e.buttons[n.index],r,a,x,n.index,!0)}),&quot;dropdown&quot;===e.type?(v(t,r,u,x,e),p(u,e)&amp;&amp;m(t,r,u,x,e)):m(t,r,null,null,e)})}}},{&quot;../../constants/alignment&quot;:471,&quot;../../lib&quot;:495,&quot;../../lib/svg_text_utils&quot;:518,&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/plots&quot;:584,&quot;../color&quot;:376,&quot;../drawing&quot;:397,&quot;./constants&quot;:466,&quot;./scrollbox&quot;:470,d3:81}],469:[function(t,e,r){arguments[4][463][0].apply(r,arguments)},{&quot;./attributes&quot;:465,&quot;./constants&quot;:466,&quot;./defaults&quot;:467,&quot;./draw&quot;:468,dup:463}],470:[function(t,e,r){&quot;use strict&quot;;e.exports=s;var n=t(&quot;d3&quot;),i=t(&quot;../color&quot;),a=t(&quot;../drawing&quot;),o=t(&quot;../../lib&quot;);function 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C=m&gt;A,O=s.barWidth+2*s.barPad,R=s.barLength+2*s.barPad,P=p+g,z=v;P+O&gt;l&amp;&amp;(P=l-O);var I=this.container.selectAll(&quot;rect.scrollbar-vertical&quot;).data(C?[0]:[]);I.exit().on(&quot;.drag&quot;,null).remove(),I.enter().append(&quot;rect&quot;).classed(&quot;scrollbar-vertical&quot;,!0).call(i.fill,s.barColor),C?(this.vbar=I.attr({rx:s.barRadius,ry:s.barRadius,x:P,y:z,width:O,height:R}),this._vbarYMin=z+R/2,this._vbarTranslateMax=A-R):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var N=this.id,D=c-.5,F=C?f+O+.5:f+.5,j=h-.5,B=M?d+k+.5:d+.5,U=o._topdefs.selectAll(&quot;#&quot;+N).data(M||C?[0]:[]);if(U.exit().remove(),U.enter().append(&quot;clipPath&quot;).attr(&quot;id&quot;,N).append(&quot;rect&quot;),M||C?(this._clipRect=U.select(&quot;rect&quot;).attr({x:Math.floor(D),y:Math.floor(j),width:Math.ceil(F)-Math.floor(D),height:Math.ceil(B)-Math.floor(j)}),this.container.call(a.setClipUrl,N,this.gd),this.bg.attr({x:p,y:v,width:g,height:m})):(this.bg.attr({width:0,height:0}),this.container.on(&quot;wheel&quot;,null).on(&quot;.drag&quot;,null).call(a.setClipUrl,null),delete this._clipRect),M||C){var V=n.behavior.drag().on(&quot;dragstart&quot;,function(){n.event.sourceEvent.preventDefault()}).on(&quot;drag&quot;,this._onBoxDrag.bind(this));this.container.on(&quot;wheel&quot;,null).on(&quot;wheel&quot;,this._onBoxWheel.bind(this)).on(&quot;.drag&quot;,null).call(V);var H=n.behavior.drag().on(&quot;dragstart&quot;,function(){n.event.sourceEvent.preventDefault(),n.event.sourceEvent.stopPropagation()}).on(&quot;drag&quot;,this._onBarDrag.bind(this));M&amp;&amp;this.hbar.on(&quot;.drag&quot;,null).call(H),C&amp;&amp;this.vbar.on(&quot;.drag&quot;,null).call(H)}this.setTranslate(e,r)},s.prototype.disable=function(){(this.hbar||this.vbar)&amp;&amp;(this.bg.attr({width:0,height:0}),this.container.on(&quot;wheel&quot;,null).on(&quot;.drag&quot;,null).call(a.setClipUrl,null),delete this._clipRect),this.hbar&amp;&amp;(this.hbar.on(&quot;.drag&quot;,null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&amp;&amp;(this.vbar.on(&quot;.drag&quot;,null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)},s.prototype._onBoxDrag=function(){var t=this.translateX,e=this.translateY;this.hbar&amp;&amp;(t-=n.event.dx),this.vbar&amp;&amp;(e-=n.event.dy),this.setTranslate(t,e)},s.prototype._onBoxWheel=function(){var t=this.translateX,e=this.translateY;this.hbar&amp;&amp;(t+=n.event.deltaY),this.vbar&amp;&amp;(e+=n.event.deltaY),this.setTranslate(t,e)},s.prototype._onBarDrag=function(){var t=this.translateX,e=this.translateY;if(this.hbar){var r=t+this._hbarXMin,i=r+this._hbarTranslateMax;t=(o.constrain(n.event.x,r,i)-r)/(i-r)*(this.position.w-this._box.w)}if(this.vbar){var a=e+this._vbarYMin,s=a+this._vbarTranslateMax;e=(o.constrain(n.event.y,a,s)-a)/(s-a)*(this.position.h-this._box.h)}this.setTranslate(t,e)},s.prototype.setTranslate=function(t,e){var r=this.position.w-this._box.w,n=this.position.h-this._box.h;if(t=o.constrain(t||0,0,r),e=o.constrain(e||0,0,n),this.translateX=t,this.translateY=e,this.container.call(a.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-e),this._clipRect&amp;&amp;this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+e-.5)}),this.hbar){var i=t/r;this.hbar.call(a.setTranslate,t+i*this._hbarTranslateMax,e)}if(this.vbar){var s=e/n;this.vbar.call(a.setTranslate,t,e+s*this._vbarTranslateMax)}}},{&quot;../../lib&quot;:495,&quot;../color&quot;:376,&quot;../drawing&quot;:397,d3:81}],471:[function(t,e,r){&quot;use 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n=t(&quot;../lib/is_plain_object&quot;),i=t(&quot;../lib/noop&quot;),a=t(&quot;../lib/loggers&quot;),o=t(&quot;../lib/search&quot;).sorterAsc,s=t(&quot;../registry&quot;);r.containerArrayMatch=t(&quot;./container_array_match&quot;);var l=r.isAddVal=function(t){return&quot;add&quot;===t||n(t)},u=r.isRemoveVal=function(t){return null===t||&quot;remove&quot;===t};r.applyContainerArrayChanges=function(t,e,r,n,c){var f=e.astr,h=s.getComponentMethod(f,&quot;supplyLayoutDefaults&quot;),d=s.getComponentMethod(f,&quot;draw&quot;),p=s.getComponentMethod(f,&quot;drawOne&quot;),g=n.replot||n.recalc||h===i||d===i,v=t.layout,m=t._fullLayout;if(r[&quot;&quot;]){Object.keys(r).length&gt;1&amp;&amp;a.warn(&quot;Full array edits are incompatible with other edits&quot;,f);var y=r[&quot;&quot;][&quot;&quot;];if(u(y))e.set(null);else{if(!Array.isArray(y))return a.warn(&quot;Unrecognized full array edit value&quot;,f,y),!0;e.set(y)}return!g&amp;&amp;(h(v,m),d(t),!0)}var 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y,b={},x=0;x&lt;v.length;x++){var _=v[x];b[y=_.type]=(b[y]||0)+1,_._fullInput._template||c.push({code:&quot;missing&quot;,index:_._fullInput.index,traceType:y})}for(y in l){var w=l[y].length,A=b[y]||0;w&gt;A?c.push({code:&quot;unused&quot;,traceType:y,templateCount:w,dataCount:A}):A&gt;w&amp;&amp;c.push({code:&quot;reused&quot;,traceType:y,templateCount:w,dataCount:A})}}else c.push({code:&quot;data&quot;});if(function t(e,r){for(var n in e)if(&quot;_&quot;!==n.charAt(0)){var a=e[n],o=d(e,n,r);i(a)?(Array.isArray(e)&amp;&amp;!1===a._template&amp;&amp;a.templateitemname&amp;&amp;c.push({code:&quot;missing&quot;,path:o,templateitemname:a.templateitemname}),t(a,o)):Array.isArray(a)&amp;&amp;p(a)&amp;&amp;t(a,o)}}({data:v,layout:h},&quot;&quot;),c.length)return c.map(g)}},{&quot;../lib&quot;:495,&quot;../plots/attributes&quot;:538,&quot;../plots/plots&quot;:584,&quot;./plot_config&quot;:529,&quot;./plot_schema&quot;:530,&quot;./plot_template&quot;:531}],534:[function(t,e,r){&quot;use 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n=t(&quot;../components/fx/attributes&quot;);e.exports={type:{valType:&quot;enumerated&quot;,values:[],dflt:&quot;scatter&quot;,editType:&quot;calc+clearAxisTypes&quot;,_noTemplating:!0},visible:{valType:&quot;enumerated&quot;,values:[!0,!1,&quot;legendonly&quot;],dflt:!0,editType:&quot;calc&quot;},showlegend:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;style&quot;},legendgroup:{valType:&quot;string&quot;,dflt:&quot;&quot;,editType:&quot;style&quot;},opacity:{valType:&quot;number&quot;,min:0,max:1,dflt:1,editType:&quot;style&quot;},name:{valType:&quot;string&quot;,editType:&quot;style&quot;},uid:{valType:&quot;string&quot;,editType:&quot;plot&quot;,anim:!0},ids:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;,anim:!0},customdata:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},selectedpoints:{valType:&quot;any&quot;,editType:&quot;calc&quot;},hoverinfo:{valType:&quot;flaglist&quot;,flags:[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;,&quot;text&quot;,&quot;name&quot;],extras:[&quot;all&quot;,&quot;none&quot;,&quot;skip&quot;],arrayOk:!0,dflt:&quot;all&quot;,editType:&quot;none&quot;},hoverlabel:n.hoverlabel,stream:{token:{valType:&quot;string&quot;,noBlank:!0,strict:!0,editType:&quot;calc&quot;},maxpoints:{valType:&quot;number&quot;,min:0,max:1e4,dflt:500,editType:&quot;calc&quot;},editType:&quot;calc&quot;},transforms:{_isLinkedToArray:&quot;transform&quot;,editType:&quot;calc&quot;},uirevision:{valType:&quot;any&quot;,editType:&quot;none&quot;}}},{&quot;../components/fx/attributes&quot;:406}],539:[function(t,e,r){&quot;use 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i=t._fullLayout;if(!i)return[];var a,o=r.listIds(t,e),s=new Array(o.length);for(a=0;a&lt;o.length;a++){var l=o[a];s[a]=i[l.charAt(0)+&quot;axis&quot;+l.substr(1)]}if(!n){var u=i._subplots.gl3d||[];for(a=0;a&lt;u.length;a++){var c=i[u[a]];e?s.push(c[e+&quot;axis&quot;]):s.push(c.xaxis,c.yaxis,c.zaxis)}}return s},r.listIds=function(t,e){var r=t._fullLayout;if(!r)return[];var n=r._subplots;return e?n[e+&quot;axis&quot;]:n.xaxis.concat(n.yaxis)},r.getFromId=function(t,e,n){var i=t._fullLayout;return&quot;x&quot;===n?e=e.replace(/y[0-9]*/,&quot;&quot;):&quot;y&quot;===n&amp;&amp;(e=e.replace(/x[0-9]*/,&quot;&quot;)),i[r.id2name(e)]},r.getFromTrace=function(t,e,i){var a=t._fullLayout,o=null;if(n.traceIs(e,&quot;gl3d&quot;)){var s=e.scene;&quot;scene&quot;===s.substr(0,5)&amp;&amp;(o=a[s][i+&quot;axis&quot;])}else o=r.getFromId(t,e[i+&quot;axis&quot;]||i);return o},r.idSort=function(t,e){var r=t.charAt(0),n=e.charAt(0);return 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0}},nticks:{valType:&quot;integer&quot;,min:0,dflt:0,editType:&quot;ticks&quot;},tick0:{valType:&quot;any&quot;,editType:&quot;ticks&quot;,impliedEdits:{tickmode:&quot;linear&quot;}},dtick:{valType:&quot;any&quot;,editType:&quot;ticks&quot;,impliedEdits:{tickmode:&quot;linear&quot;}},tickvals:{valType:&quot;data_array&quot;,editType:&quot;ticks&quot;},ticktext:{valType:&quot;data_array&quot;,editType:&quot;ticks&quot;},ticks:{valType:&quot;enumerated&quot;,values:[&quot;outside&quot;,&quot;inside&quot;,&quot;&quot;],editType:&quot;ticks&quot;},tickson:{valType:&quot;enumerated&quot;,values:[&quot;labels&quot;,&quot;boundaries&quot;],dflt:&quot;labels&quot;,editType:&quot;ticks&quot;},mirror:{valType:&quot;enumerated&quot;,values:[!0,&quot;ticks&quot;,!1,&quot;all&quot;,&quot;allticks&quot;],dflt:!1,editType:&quot;ticks+layoutstyle&quot;},ticklen:{valType:&quot;number&quot;,min:0,dflt:5,editType:&quot;ticks&quot;},tickwidth:{valType:&quot;number&quot;,min:0,dflt:1,editType:&quot;ticks&quot;},tickcolor:{valType:&quot;color&quot;,dflt:i.defaultLine,editType:&quot;ticks&quot;},showticklabels:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;ticks&quot;},automargin:{valType:&quot;boolean&quot;,dflt:!1,editType:&quot;ticks&quot;},showspikes:{valType:&quot;boolean&quot;,dflt:!1,editType:&quot;modebar&quot;},spikecolor:{valType:&quot;color&quot;,dflt:null,editType:&quot;none&quot;},spikethickness:{valType:&quot;number&quot;,dflt:3,editType:&quot;none&quot;},spikedash:o({},a,{dflt:&quot;dash&quot;,editType:&quot;none&quot;}),spikemode:{valType:&quot;flaglist&quot;,flags:[&quot;toaxis&quot;,&quot;across&quot;,&quot;marker&quot;],dflt:&quot;toaxis&quot;,editType:&quot;none&quot;},spikesnap:{valType:&quot;enumerated&quot;,values:[&quot;data&quot;,&quot;cursor&quot;],dflt:&quot;data&quot;,editType:&quot;none&quot;},tickfont:n({editType:&quot;ticks&quot;}),tickangle:{valType:&quot;angle&quot;,dflt:&quot;auto&quot;,editType:&quot;ticks&quot;},tickprefix:{valType:&quot;string&quot;,dflt:&quot;&quot;,editType:&quot;ticks&quot;},showtickprefix:{valType:&quot;enumerated&quot;,values:[&quot;all&quot;,&quot;first&quot;,&quot;last&quot;,&quot;none&quot;],dflt:&quot;all&quot;,editType:&quot;ticks&quot;},ticksuffix:{valType:&quot;string&quot;,dflt:&quot;&quot;,editType:&quot;ticks&quot;},showticksuffix:{valType:&quot;enumerated&quot;,values:[&quot;all&quot;,&quot;first&quot;,&quot;last&quot;,&quot;none&quot;],dflt:&quot;all&quot;,editType:&quot;ticks&quot;},showexponent:{valType:&quot;enumerated&quot;,values:[&quot;all&quot;,&quot;first&quot;,&quot;last&quot;,&quot;none&quot;],dflt:&quot;all&quot;,editType:&quot;ticks&quot;},exponentformat:{valType:&quot;enumerated&quot;,values:[&quot;none&quot;,&quot;e&quot;,&quot;E&quot;,&quot;power&quot;,&quot;SI&quot;,&quot;B&quot;],dflt:&quot;B&quot;,editType:&quot;ticks&quot;},separatethousands:{valType:&quot;boolean&quot;,dflt:!1,editType:&quot;ticks&quot;},tickformat:{valType:&quot;string&quot;,dflt:&quot;&quot;,editType:&quot;ticks&quot;},tickformatstops:s(&quot;tickformatstop&quot;,{enabled:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;ticks&quot;},dtickrange:{valType:&quot;info_array&quot;,items:[{valType:&quot;any&quot;,editType:&quot;ticks&quot;},{valType:&quot;any&quot;,editType:&quot;ticks&quot;}],editType:&quot;ticks&quot;},value:{valType:&quot;string&quot;,dflt:&quot;&quot;,editType:&quot;ticks&quot;},editType:&quot;ticks&quot;}),hoverformat:{valType:&quot;string&quot;,dflt:&quot;&quot;,editType:&quot;none&quot;},showline:{valType:&quot;boolean&quot;,dflt:!1,editType:&quot;ticks+layoutstyle&quot;},linecolor:{valType:&quot;color&quot;,dflt:i.defaultLine,editType:&quot;layoutstyle&quot;},linewidth:{valType:&quot;number&quot;,min:0,dflt:1,editType:&quot;ticks+layoutstyle&quot;},showgrid:{valType:&quot;boolean&quot;,editType:&quot;ticks&quot;},gridcolor:{valType:&quot;color&quot;,dflt:i.lightLine,editType:&quot;ticks&quot;},gridwidth:{valType:&quot;number&quot;,min:0,dflt:1,editType:&quot;ticks&quot;},zeroline:{valType:&quot;boolean&quot;,editType:&quot;ticks&quot;},zerolinecolor:{valType:&quot;color&quot;,dflt:i.defaultLine,editType:&quot;ticks&quot;},zerolinewidth:{valType:&quot;number&quot;,dflt:1,editType:&quot;ticks&quot;},showdividers:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;ticks&quot;},dividercolor:{valType:&quot;color&quot;,dflt:i.defaultLine,editType:&quot;ticks&quot;},dividerwidth:{valType:&quot;number&quot;,dflt:1,editType:&quot;ticks&quot;},anchor:{valType:&quot;enumerated&quot;,values:[&quot;free&quot;,l.idRegex.x.toString(),l.idRegex.y.toString()],editType:&quot;plot&quot;},side:{valType:&quot;enumerated&quot;,values:[&quot;top&quot;,&quot;bottom&quot;,&quot;left&quot;,&quot;right&quot;],editType:&quot;plot&quot;},overlaying:{valType:&quot;enumerated&quot;,values:[&quot;free&quot;,l.idRegex.x.toString(),l.idRegex.y.toString()],editType:&quot;plot&quot;},layer:{valType:&quot;enumerated&quot;,values:[&quot;above traces&quot;,&quot;below traces&quot;],dflt:&quot;above traces&quot;,editType:&quot;plot&quot;},domain:{valType:&quot;info_array&quot;,items:[{valType:&quot;number&quot;,min:0,max:1,editType:&quot;plot&quot;},{valType:&quot;number&quot;,min:0,max:1,editType:&quot;plot&quot;}],dflt:[0,1],editType:&quot;plot&quot;},position:{valType:&quot;number&quot;,min:0,max:1,dflt:0,editType:&quot;plot&quot;},categoryorder:{valType:&quot;enumerated&quot;,values:[&quot;trace&quot;,&quot;category ascending&quot;,&quot;category 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n=t(&quot;../../lib&quot;),i=t(&quot;../../components/color&quot;),a=t(&quot;../../plot_api/plot_template&quot;),o=t(&quot;../layout_attributes&quot;),s=t(&quot;./layout_attributes&quot;),l=t(&quot;./type_defaults&quot;),u=t(&quot;./axis_defaults&quot;),c=t(&quot;./constraints&quot;).handleConstraintDefaults,f=t(&quot;./position_defaults&quot;),h=t(&quot;./axis_ids&quot;),d=h.id2name,p=h.name2id,g=t(&quot;../../registry&quot;),v=g.traceIs,m=g.getComponentMethod;function y(t,e,r){Array.isArray(t[e])?t[e].push(r):t[e]=[r]}e.exports=function(t,e,r){var h,g,b={},x={},_={},w={},A={};for(h=0;h&lt;r.length;h++){var M=r[h];if(v(M,&quot;cartesian&quot;)||v(M,&quot;gl2d&quot;)){var T,k;if(M.xaxis)y(b,T=d(M.xaxis),M);else if(M.xaxes)for(g=0;g&lt;M.xaxes.length;g++)y(b,d(M.xaxes[g]),M);if(M.yaxis)y(b,k=d(M.yaxis),M);else if(M.yaxes)for(g=0;g&lt;M.yaxes.length;g++)y(b,d(M.yaxes[g]),M);if(v(M,&quot;carpet&quot;)&amp;&amp;(&quot;carpet&quot;!==M.type||M._cheater)||T&amp;&amp;(_[T]=1),&quot;carpet&quot;===M.type&amp;&amp;M._cheater&amp;&amp;T&amp;&amp;(x[T]=1),v(M,&quot;2dMap&quot;)&amp;&amp;(w[T]=1,w[k]=1),v(M,&quot;oriented&quot;))A[&quot;h&quot;===M.orientation?k:T]=1}}var E=e._subplots,L=E.xaxis,S=E.yaxis,C=n.simpleMap(L,d),O=n.simpleMap(S,d),R=C.concat(O),P=i.background;L.length&amp;&amp;S.length&amp;&amp;(P=n.coerce(t,e,o,&quot;plot_bgcolor&quot;));var z,I,N,D,F=i.combine(P,e.paper_bgcolor);function j(t,e){return n.coerce(N,D,s,t,e)}function B(t,e){return n.coerce2(N,D,s,t,e)}function U(t){return&quot;x&quot;===t?S:L}var V={x:U(&quot;x&quot;),y:U(&quot;y&quot;)},H=V.x.concat(V.y);function q(e,r){for(var n=&quot;x&quot;===e?C:O,i=[],a=0;a&lt;n.length;a++){var o=n[a];o===r||(t[o]||{}).overlaying||i.push(p(o))}return i}for(h=0;h&lt;R.length;h++){I=(z=R[h]).charAt(0),n.isPlainObject(t[z])||(t[z]={}),N=t[z],D=a.newContainer(e,z,I+&quot;axis&quot;);var G=b[z]||[];D._traceIndices=G.map(function(t){return t._expandedIndex}),D._annIndices=[],D._shapeIndices=[],D._imgIndices=[],D._subplotsWith=[],D._counterAxes=[],D._name=D._attr=z;var X=D._id=p(z),W=q(I,z),Y={letter:I,font:e.font,outerTicks:w[z],showGrid:!A[z],data:G,bgColor:F,calendar:e.calendar,automargin:!0,cheateronly:&quot;x&quot;===I&amp;&amp;x[z]&amp;&amp;!_[z],splomStash:((e._splomAxes||{})[I]||{})[X]};j(&quot;uirevision&quot;,e.uirevision),l(N,D,j,Y),u(N,D,j,Y,e);var Z=B(&quot;spikecolor&quot;),Q=B(&quot;spikethickness&quot;),$=B(&quot;spikedash&quot;),J=B(&quot;spikemode&quot;),K=B(&quot;spikesnap&quot;);j(&quot;showspikes&quot;,!!(Z||Q||$||J||K))||(delete D.spikecolor,delete D.spikethickness,delete D.spikedash,delete D.spikemode,delete D.spikesnap),f(N,D,j,{letter:I,counterAxes:V[I],overlayableAxes:W,grid:e.grid}),D._input=N}var tt=m(&quot;rangeslider&quot;,&quot;handleDefaults&quot;),et=m(&quot;rangeselector&quot;,&quot;handleDefaults&quot;);for(h=0;h&lt;C.length;h++)z=C[h],N=t[z],D=e[z],tt(t,e,z),&quot;date&quot;===D.type&amp;&amp;et(N,D,e,O,D.calendar),j(&quot;fixedrange&quot;);for(h=0;h&lt;O.length;h++){z=O[h],N=t[z],D=e[z];var rt=e[d(D.anchor)];j(&quot;fixedrange&quot;,m(&quot;rangeslider&quot;,&quot;isVisible&quot;)(rt))}var nt=e._axisConstraintGroups=[],it=e._axisMatchGroups=[];for(h=0;h&lt;R.length;h++)I=(z=R[h]).charAt(0),N=t[z],D=e[z],c(N,D,j,H,e);for(h=0;h&lt;it.length;h++){var at,ot=it[h],st=null,lt=null;for(at in ot)(D=e[d(at)]).matches||(st=D.range,lt=D.autorange);if(null===st||null===lt)for(at in ot){st=(D=e[d(at)]).range,lt=D.autorange;break}for(at in ot)(D=e[d(at)]).matches&amp;&amp;(D.range=st.slice(),D.autorange=lt),D._matchGroup=ot;if(nt.length)for(at in ot)for(g=0;g&lt;nt.length;g++){var ut=nt[g];for(var ct in ut)at===ct&amp;&amp;(n.warn(&quot;Axis &quot;+ct+&quot; is set with both a 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f=l(&quot;gridcolor&quot;,n(s,o.bgColor,o.blend||i).toRgbString()),h=l(&quot;gridwidth&quot;);if(r(&quot;showgrid&quot;,o.showGrid||!!f||!!h)||(delete e.gridcolor,delete e.gridwidth),!o.noZeroLine){var d=l(&quot;zerolinecolor&quot;,s),p=l(&quot;zerolinewidth&quot;);r(&quot;zeroline&quot;,o.showGrid||!!d||!!p)||(delete e.zerolinecolor,delete e.zerolinewidth)}}},{&quot;../../components/color/attributes&quot;:375,&quot;../../lib&quot;:495,tinycolor2:342}],556:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;fast-isnumeric&quot;),i=t(&quot;../../lib&quot;);e.exports=function(t,e,r,a){var o,s,l,u,c=a.counterAxes||[],f=a.overlayableAxes||[],h=a.letter,d=a.grid;d&amp;&amp;(s=d._domains[h][d._axisMap[e._id]],o=d._anchors[e._id],s&amp;&amp;(l=d[h+&quot;side&quot;].split(&quot; 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n=t(&quot;../../constants/alignment&quot;).FROM_BL;e.exports=function(t,e,r){void 0===r&amp;&amp;(r=n[t.constraintoward||&quot;center&quot;]);var i=[t.r2l(t.range[0]),t.r2l(t.range[1])],a=i[0]+(i[1]-i[0])*r;t.range=t._input.range=[t.l2r(a+(i[0]-a)*e),t.l2r(a+(i[1]-a)*e)]}},{&quot;../../constants/alignment&quot;:471}],558:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;polybooljs&quot;),i=t(&quot;../../registry&quot;),a=t(&quot;../../components/color&quot;),o=t(&quot;../../components/fx&quot;),s=t(&quot;../../lib/polygon&quot;),l=t(&quot;../../lib/throttle&quot;),u=t(&quot;../../components/fx/helpers&quot;).makeEventData,c=t(&quot;./axis_ids&quot;).getFromId,f=t(&quot;../../lib/clear_gl_canvases&quot;),h=t(&quot;../../plot_api/subroutines&quot;).redrawReglTraces,d=t(&quot;./constants&quot;),p=d.MINSELECT,g=s.filter,v=s.tester;function m(t){return t._id}function y(t,e,r,n,i,a,o){var s,l,u,c,f,h,d,p,g,v=e._hoverdata,m=e._fullLayout.clickmode.indexOf(&quot;event&quot;)&gt;-1,y=[];if(function(t){return t&amp;&amp;Array.isArray(t)&amp;&amp;!0!==t[0].hoverOnBox}(v)){w(t,e,a);var b=function(t,e){var r,n,i=t[0],a=-1,o=[];for(n=0;n&lt;e.length;n++)if(r=e[n],i.fullData._expandedIndex===r.cd[0].trace._expandedIndex){if(!0===i.hoverOnBox)break;void 0!==i.pointNumber?a=i.pointNumber:void 0!==i.binNumber&amp;&amp;(a=i.binNumber,o=i.pointNumbers);break}return{pointNumber:a,pointNumbers:o,searchInfo:r}}(v,s=M(e,r,n,i));if(b.pointNumbers.length&gt;0?function(t,e){var r,n,i,a=[];for(i=0;i&lt;t.length;i++)(r=t[i]).cd[0].trace.selectedpoints&amp;&amp;r.cd[0].trace.selectedpoints.length&gt;0&amp;&amp;a.push(r);if(1===a.length&amp;&amp;a[0]===e.searchInfo&amp;&amp;(n=e.searchInfo.cd[0].trace).selectedpoints.length===e.pointNumbers.length){for(i=0;i&lt;e.pointNumbers.length;i++)if(n.selectedpoints.indexOf(e.pointNumbers[i])&lt;0)return!1;return!0}return!1}(s,b):function(t){var e,r,n,i=0;for(n=0;n&lt;t.length;n++)if(e=t[n],(r=e.cd[0].trace).selectedpoints){if(r.selectedpoints.length&gt;1)return!1;if((i+=r.selectedpoints.length)&gt;1)return!1}return 1===i}(s)&amp;&amp;(h=k(b))){for(o&amp;&amp;o.remove(),g=0;g&lt;s.length;g++)(l=s[g])._module.selectPoints(l,!1);E(e,s),A(a),m&amp;&amp;e.emit(&quot;plotly_deselect&quot;,null)}else{for(d=t.shiftKey&amp;&amp;(void 0!==h?h:k(b)),u=function(t,e,r){return{pointNumber:t,searchInfo:e,subtract:r}}(b.pointNumber,b.searchInfo,d),c=_(a.selectionDefs.concat([u])),g=0;g&lt;s.length;g++)if(f=L(s[g]._module.selectPoints(s[g],c),s[g]),y.length)for(var x=0;x&lt;f.length;x++)y.push(f[x]);else y=f;E(e,s,p={points:y}),u&amp;&amp;a&amp;&amp;a.selectionDefs.push(u),o&amp;&amp;T(a.mergedPolygons,o),m&amp;&amp;e.emit(&quot;plotly_selected&quot;,p)}}}function b(t){return&quot;pointNumber&quot;in t&amp;&amp;&quot;searchInfo&quot;in t}function x(t){return{xmin:0,xmax:0,ymin:0,ymax:0,pts:[],contains:function(e,r,n,i){var a=t.searchInfo.cd[0].trace._expandedIndex;return i.cd[0].trace._expandedIndex===a&amp;&amp;n===t.pointNumber},isRect:!1,degenerate:!1,subtract:t.subtract}}function _(t){for(var e=[],r=b(t[0])?0:t[0][0][0],n=r,i=b(t[0])?0:t[0][0][1],a=i,o=0;o&lt;t.length;o++)if(b(t[o]))e.push(x(t[o]));else{var l=s.tester(t[o]);l.subtract=t[o].subtract,e.push(l),r=Math.min(r,l.xmin),n=Math.max(n,l.xmax),i=Math.min(i,l.ymin),a=Math.max(a,l.ymax)}return{xmin:r,xmax:n,ymin:i,ymax:a,pts:[],contains:function(t,r,n,i){for(var a=!1,o=0;o&lt;e.length;o++)e[o].contains(t,r,n,i)&amp;&amp;(a=!1===e[o].subtract);return a},isRect:!1,degenerate:!1}}function w(t,e,r){var n=e._fullLayout,i=n._zoomlayer,a=r.plotinfo,o=n._lastSelectedSubplot&amp;&amp;n._lastSelectedSubplot===a.id,s=t.shiftKey||t.altKey;o&amp;&amp;s&amp;&amp;a.selection&amp;&amp;a.selection.selectionDefs&amp;&amp;!r.selectionDefs?(r.selectionDefs=a.selection.selectionDefs,r.mergedPolygons=a.selection.mergedPolygons):s&amp;&amp;a.selection||A(r),o||(S(i),n._lastSelectedSubplot=a.id)}function A(t){var e=t.plotinfo;e.selection={},e.selection.selectionDefs=t.selectionDefs=[],e.selection.mergedPolygons=t.mergedPolygons=[]}function M(t,e,r,n){var i,a,o,s=[],l=e.map(m),u=r.map(m);for(o=0;o&lt;t.calcdata.length;o++)if(!0===(a=(i=t.calcdata[o])[0].trace).visible&amp;&amp;a._module&amp;&amp;a._module.selectPoints)if(!n||a.subplot!==n&amp;&amp;a.geo!==n)if(&quot;splom&quot;===a.type&amp;&amp;a._xaxes[l[0]]&amp;&amp;a._yaxes[u[0]]){var f=h(a._module,i,e[0],r[0]);f.scene=t._fullLayout._splomScenes[a.uid],s.push(f)}else{if(-1===l.indexOf(a.xaxis))continue;if(-1===u.indexOf(a.yaxis))continue;s.push(h(a._module,i,c(t,a.xaxis),c(t,a.yaxis)))}else s.push(h(a._module,i,e[0],r[0]));return s;function h(t,e,r,n){return{_module:t,cd:e,xaxis:r,yaxis:n}}}function T(t,e){var r,n,i=[];for(r=0;r&lt;t.length;r++){var a=t[r];i.push(a.join(&quot;L&quot;)+&quot;L&quot;+a[0])}n=t.length&gt;0?&quot;M&quot;+i.join(&quot;M&quot;)+&quot;Z&quot;:&quot;M0,0Z&quot;,e.attr(&quot;d&quot;,n)}function k(t){var e=t.searchInfo.cd[0].trace,r=t.pointNumber,n=t.pointNumbers,i=n.length&gt;0?n[0]:r;return!!e.selectedpoints&amp;&amp;e.selectedpoints.indexOf(i)&gt;-1}function E(t,e,r){var n,a,o,s;for(n=0;n&lt;e.length;n++){var l=e[n].cd[0].trace._fullInput,u=t._fullLayout._tracePreGUI[l.uid];void 0===u.selectedpoints&amp;&amp;(u.selectedpoints=l._input.selectedpoints||null)}if(r){var c=r.points||[];for(n=0;n&lt;e.length;n++)(s=e[n].cd[0].trace)._input.selectedpoints=s._fullInput.selectedpoints=[],s._fullInput!==s&amp;&amp;(s.selectedpoints=[]);for(n=0;n&lt;c.length;n++){var d=c[n],p=d.data,g=d.fullData;d.pointIndices?([].push.apply(p.selectedpoints,d.pointIndices),s._fullInput!==s&amp;&amp;[].push.apply(g.selectedpoints,d.pointIndices)):(p.selectedpoints.push(d.pointIndex),s._fullInput!==s&amp;&amp;g.selectedpoints.push(d.pointIndex))}}else for(n=0;n&lt;e.length;n++)delete(s=e[n].cd[0].trace).selectedpoints,delete s._input.selectedpoints,s._fullInput!==s&amp;&amp;delete s._fullInput.selectedpoints;var v=!1;for(n=0;n&lt;e.length;n++){s=(o=(a=e[n]).cd)[0].trace,i.traceIs(s,&quot;regl&quot;)&amp;&amp;(v=!0);var m=a._module,y=m.styleOnSelect||m.style;y&amp;&amp;y(t,o)}v&amp;&amp;(f(t),h(t))}function L(t,e){if(Array.isArray(t))for(var r=e.cd,n=e.cd[0].trace,i=0;i&lt;t.length;i++)t[i]=u(t[i],n,r);return t}function S(t){t.selectAll(&quot;.select-outline&quot;).remove()}e.exports={prepSelect:function(t,e,r,i,s){var u,c,f,h,m,b,x,k=i.gd,S=k._fullLayout,C=S._zoomlayer,O=i.element.getBoundingClientRect(),R=i.plotinfo,P=R.xaxis._offset,z=R.yaxis._offset,I=e-O.left,N=r-O.top,D=I,F=N,j=&quot;M&quot;+I+&quot;,&quot;+N,B=i.xaxes[0]._length,U=i.yaxes[0]._length,V=i.xaxes.concat(i.yaxes),H=t.altKey;w(t,k,i),&quot;lasso&quot;===s&amp;&amp;(u=g([[I,N]],d.BENDPX));var q=C.selectAll(&quot;path.select-outline-&quot;+R.id).data([1,2]);q.enter().append(&quot;path&quot;).attr(&quot;class&quot;,function(t){return&quot;select-outline select-outline-&quot;+t+&quot; select-outline-&quot;+R.id}).attr(&quot;transform&quot;,&quot;translate(&quot;+P+&quot;, &quot;+z+&quot;)&quot;).attr(&quot;d&quot;,j+&quot;Z&quot;);var 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p=u[d];c=t[p]||{},(f=a.newContainer(e,p))._id=p[0]+r.scene,f._name=p,s(c,f,h,r),l(c,f,h,{font:r.font,letter:p[0],data:r.data,showGrid:!0,noTickson:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(&quot;gridcolor&quot;,n(f.color,r.bgColor,13600/187).toRgbString()),h(&quot;title.text&quot;,p[0]),f.setScale=i.noop,h(&quot;showspikes&quot;)&amp;&amp;(h(&quot;spikesides&quot;),h(&quot;spikethickness&quot;),h(&quot;spikecolor&quot;,f.color)),h(&quot;showaxeslabels&quot;),h(&quot;showbackground&quot;)&amp;&amp;h(&quot;backgroundcolor&quot;)}}},{&quot;../../../lib&quot;:495,&quot;../../../plot_api/plot_template&quot;:531,&quot;../../cartesian/axis_defaults&quot;:543,&quot;../../cartesian/type_defaults&quot;:564,&quot;./axis_attributes&quot;:572,tinycolor2:342}],574:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../../lib/str2rgbarray&quot;),i=t(&quot;../../../lib&quot;),a=[&quot;xaxis&quot;,&quot;yaxis&quot;,&quot;zaxis&quot;];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[&quot;sans-serif&quot;,&quot;sans-serif&quot;,&quot;sans-serif&quot;],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;],this.labelEnable=[!0,!0,!0],this.labelFont=[&quot;Open Sans&quot;,&quot;Open Sans&quot;,&quot;Open Sans&quot;],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r&lt;3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t.meta?i.templateString(o.title.text,{meta:t.meta}):o.title.text,&quot;font&quot;in o.title&amp;&amp;(o.title.font.color&amp;&amp;(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&amp;&amp;(this.labelFont[r]=o.title.font.family),o.title.font.size&amp;&amp;(this.labelSize[r]=o.title.font.size)),&quot;showline&quot;in o&amp;&amp;(this.lineEnable[r]=o.showline),&quot;linecolor&quot;in o&amp;&amp;(this.lineColor[r]=n(o.linecolor)),&quot;linewidth&quot;in o&amp;&amp;(this.lineWidth[r]=o.linewidth),&quot;showgrid&quot;in o&amp;&amp;(this.gridEnable[r]=o.showgrid),&quot;gridcolor&quot;in o&amp;&amp;(this.gridColor[r]=n(o.gridcolor)),&quot;gridwidth&quot;in o&amp;&amp;(this.gridWidth[r]=o.gridwidth),&quot;log&quot;===o.type?this.zeroEnable[r]=!1:&quot;zeroline&quot;in o&amp;&amp;(this.zeroEnable[r]=o.zeroline),&quot;zerolinecolor&quot;in o&amp;&amp;(this.zeroLineColor[r]=n(o.zerolinecolor)),&quot;zerolinewidth&quot;in o&amp;&amp;(this.zeroLineWidth[r]=o.zerolinewidth),&quot;ticks&quot;in o&amp;&amp;o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,&quot;ticklen&quot;in o&amp;&amp;(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),&quot;tickcolor&quot;in o&amp;&amp;(this.lineTickColor[r]=n(o.tickcolor)),&quot;tickwidth&quot;in o&amp;&amp;(this.lineTickWidth[r]=o.tickwidth),&quot;tickangle&quot;in o&amp;&amp;(this.tickAngle[r]=&quot;auto&quot;===o.tickangle?-3600:Math.PI*-o.tickangle/180),&quot;showticklabels&quot;in o&amp;&amp;(this.tickEnable[r]=o.showticklabels),&quot;tickfont&quot;in o&amp;&amp;(o.tickfont.color&amp;&amp;(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&amp;&amp;(this.tickFont[r]=o.tickfont.family),o.tickfont.size&amp;&amp;(this.tickSize[r]=o.tickfont.size)),&quot;mirror&quot;in o?-1!==[&quot;ticks&quot;,&quot;all&quot;,&quot;allticks&quot;].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,&quot;showbackground&quot;in o&amp;&amp;!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{&quot;../../../lib&quot;:495,&quot;../../../lib/str2rgbarray&quot;:517}],575:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../../lib&quot;),i=t(&quot;../../../components/color&quot;),a=t(&quot;../../../registry&quot;),o=t(&quot;../../subplot_defaults&quot;),s=t(&quot;./axis_defaults&quot;),l=t(&quot;./layout_attributes&quot;),u=t(&quot;../../get_data&quot;).getSubplotData,c=&quot;gl3d&quot;;function f(t,e,r,n){for(var o=r(&quot;bgcolor&quot;),l=i.combine(o,n.paper_bgcolor),f=[&quot;up&quot;,&quot;center&quot;,&quot;eye&quot;],h=0;h&lt;f.length;h++)r(&quot;camera.&quot;+f[h]+&quot;.x&quot;),r(&quot;camera.&quot;+f[h]+&quot;.y&quot;),r(&quot;camera.&quot;+f[h]+&quot;.z&quot;);r(&quot;camera.projection.type&quot;);var d=!!r(&quot;aspectratio.x&quot;)&amp;&amp;!!r(&quot;aspectratio.y&quot;)&amp;&amp;!!r(&quot;aspectratio.z&quot;),p=r(&quot;aspectmode&quot;,d?&quot;manual&quot;:&quot;auto&quot;);d||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},&quot;manual&quot;===p&amp;&amp;(e.aspectmode=&quot;auto&quot;),t.aspectmode=e.aspectmode);var g=u(n.fullData,c,n.id);s(t,e,{font:n.font,scene:n.id,data:g,bgColor:l,calendar:n.calendar,fullLayout:n.fullLayout}),a.getComponentMethod(&quot;annotations3d&quot;,&quot;handleDefaults&quot;)(t,e,n);var v=n.getDfltFromLayout(&quot;dragmode&quot;);if(!1!==v&amp;&amp;!v)if(v=&quot;orbit&quot;,t.camera&amp;&amp;t.camera.up){var m=t.camera.up.x,y=t.camera.up.y,b=t.camera.up.z;0!==b&amp;&amp;(m&amp;&amp;y&amp;&amp;b?b/Math.sqrt(m*m+y*y+b*b)&gt;.999&amp;&amp;(v=&quot;turntable&quot;):v=&quot;turntable&quot;)}else v=&quot;turntable&quot;;r(&quot;dragmode&quot;,v),r(&quot;hovermode&quot;,n.getDfltFromLayout(&quot;hovermode&quot;))}e.exports=function(t,e,r){var i=e._basePlotModules.length&gt;1;o(t,e,r,{type:c,attributes:l,handleDefaults:f,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{&quot;../../../components/color&quot;:376,&quot;../../../lib&quot;:495,&quot;../../../registry&quot;:592,&quot;../../get_data&quot;:569,&quot;../../subplot_defaults&quot;:591,&quot;./axis_defaults&quot;:573,&quot;./layout_attributes&quot;:576}],576:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./axis_attributes&quot;),i=t(&quot;../../domain&quot;).attributes,a=t(&quot;../../../lib/extend&quot;).extendFlat,o=t(&quot;../../../lib&quot;).counterRegex;function s(t,e,r){return{x:{valType:&quot;number&quot;,dflt:t,editType:&quot;camera&quot;},y:{valType:&quot;number&quot;,dflt:e,editType:&quot;camera&quot;},z:{valType:&quot;number&quot;,dflt:r,editType:&quot;camera&quot;},editType:&quot;camera&quot;}}e.exports={_arrayAttrRegexps:[o(&quot;scene&quot;,&quot;.annotations&quot;,!0)],bgcolor:{valType:&quot;color&quot;,dflt:&quot;rgba(0,0,0,0)&quot;,editType:&quot;plot&quot;},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:&quot;enumerated&quot;,values:[&quot;perspective&quot;,&quot;orthographic&quot;],dflt:&quot;perspective&quot;,editType:&quot;calc&quot;},editType:&quot;calc&quot;},editType:&quot;camera&quot;},domain:i({name:&quot;scene&quot;,editType:&quot;plot&quot;}),aspectmode:{valType:&quot;enumerated&quot;,values:[&quot;auto&quot;,&quot;cube&quot;,&quot;data&quot;,&quot;manual&quot;],dflt:&quot;auto&quot;,editType:&quot;plot&quot;,impliedEdits:{&quot;aspectratio.x&quot;:void 0,&quot;aspectratio.y&quot;:void 0,&quot;aspectratio.z&quot;:void 0}},aspectratio:{x:{valType:&quot;number&quot;,min:0,editType:&quot;plot&quot;,impliedEdits:{&quot;^aspectmode&quot;:&quot;manual&quot;}},y:{valType:&quot;number&quot;,min:0,editType:&quot;plot&quot;,impliedEdits:{&quot;^aspectmode&quot;:&quot;manual&quot;}},z:{valType:&quot;number&quot;,min:0,editType:&quot;plot&quot;,impliedEdits:{&quot;^aspectmode&quot;:&quot;manual&quot;}},editType:&quot;plot&quot;,impliedEdits:{aspectmode:&quot;manual&quot;}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:&quot;enumerated&quot;,values:[&quot;orbit&quot;,&quot;turntable&quot;,&quot;zoom&quot;,&quot;pan&quot;,!1],editType:&quot;plot&quot;},hovermode:{valType:&quot;enumerated&quot;,values:[&quot;closest&quot;,!1],dflt:&quot;closest&quot;,editType:&quot;modebar&quot;},uirevision:{valType:&quot;any&quot;,editType:&quot;none&quot;},editType:&quot;plot&quot;,_deprecated:{cameraposition:{valType:&quot;info_array&quot;,editType:&quot;camera&quot;}}}},{&quot;../../../lib&quot;:495,&quot;../../../lib/extend&quot;:488,&quot;../../domain&quot;:566,&quot;./axis_attributes&quot;:572}],577:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../../lib/str2rgbarray&quot;),i=[&quot;xaxis&quot;,&quot;yaxis&quot;,&quot;zaxis&quot;];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e&lt;3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{&quot;../../../lib/str2rgbarray&quot;:517}],578:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u&lt;3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&amp;&amp;(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if(&quot;auto&quot;===c.tickmode){c.tickmode=&quot;linear&quot;;var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var d=n.calcTicks(c),p=0;p&lt;d.length;++p)d[p].x=d[p].x*t.dataScale[u],&quot;date&quot;===c.type&amp;&amp;(d[p].text=d[p].text.replace(/\\&lt;br\\&gt;/g,&quot; &quot;));l[u]=d,c.tickmode=f}}e.ticks=l;for(var u=0;u&lt;3;++u){o[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]);for(var p=0;p&lt;2;++p)e.bounds[p][u]=t.glplot.bounds[p][u]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r&lt;3;++r){for(var n=t[r],i=new Array(n.length),a=0;a&lt;n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=t(&quot;../../cartesian/axes&quot;),i=t(&quot;../../../lib&quot;),a=[&quot;xaxis&quot;,&quot;yaxis&quot;,&quot;zaxis&quot;],o=[0,0,0]},{&quot;../../../lib&quot;:495,&quot;../../cartesian/axes&quot;:541}],579:[function(t,e,r){&quot;use strict&quot;;function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r&lt;4;++r)for(n=0;n&lt;4;++n)i[n]+=t[4*r+n]*e[r];return i}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],580:[function(t,e,r){&quot;use strict&quot;;var n,i,a=t(&quot;gl-plot3d&quot;).createCamera,o=t(&quot;gl-plot3d&quot;).createScene,s=t(&quot;webgl-context&quot;),l=t(&quot;has-passive-events&quot;),u=t(&quot;../../registry&quot;),c=t(&quot;../../lib&quot;),f=t(&quot;../../plots/cartesian/axes&quot;),h=t(&quot;../../components/fx&quot;),d=t(&quot;../../lib/str2rgbarray&quot;),p=t(&quot;../../lib/show_no_webgl_msg&quot;),g=t(&quot;./project&quot;),v=t(&quot;./layout/convert&quot;),m=t(&quot;./layout/spikes&quot;),y=t(&quot;./layout/tick_marks&quot;);function b(t,e,r,a){if(t.initializeGLCamera(),!function(t,e,r,a,l){var u={canvas:a,gl:l,container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:e,pixelRatio:r};if(t.staticMode){if(!(i||(n=document.createElement(&quot;canvas&quot;),i=s({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(&quot;error creating static canvas/context for image server&quot;);u.pixelRatio=t.pixelRatio,u.gl=i,u.canvas=n}try{t.glplot=o(u)}catch(t){return!1}return!0}(t,t.camera,e,r,a))return p(t);var u=t.graphDiv,d=function(t){if(!1!==t.fullSceneLayout.dragmode){var e={};e[t.id+&quot;.camera&quot;]=M(t.camera),t.saveCamera(u.layout),t.graphDiv.emit(&quot;plotly_relayout&quot;,e)}};return t.glplot.canvas.addEventListener(&quot;mouseup&quot;,function(){d(t)}),t.glplot.canvas.addEventListener(&quot;wheel&quot;,function(){u._context._scrollZoom.gl3d&amp;&amp;d(t)},!!l&amp;&amp;{passive:!1}),t.staticMode||t.glplot.canvas.addEventListener(&quot;webglcontextlost&quot;,function(e){u&amp;&amp;u.emit&amp;&amp;u.emit(&quot;plotly_webglcontextlost&quot;,{event:e,layer:t.id})},!1),t.glplot.camera=t.camera,t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(t){var e,r=t.svgContainer,n=t.container.getBoundingClientRect(),i=n.width,a=n.height;r.setAttributeNS(null,&quot;viewBox&quot;,&quot;0 0 &quot;+i+&quot; &quot;+a),r.setAttributeNS(null,&quot;width&quot;,i),r.setAttributeNS(null,&quot;height&quot;,a),y(t),t.glplot.axes.update(t.axesOptions);for(var o,s=Object.keys(t.traces),l=null,u=t.glplot.selection,d=0;d&lt;s.length;++d)&quot;skip&quot;!==(e=t.traces[s[d]]).data.hoverinfo&amp;&amp;e.handlePick(u)&amp;&amp;(l=e),e.setContourLevels&amp;&amp;e.setContourLevels();function p(e,r){var n=t.fullSceneLayout[e];return f.tickText(n,n.d2l(r),&quot;hover&quot;).text}if(null!==l){var v=g(t.glplot.cameraParams,u.dataCoordinate);e=l.data;var m,b=u.index,x={xLabel:p(&quot;xaxis&quot;,u.traceCoordinate[0]),yLabel:p(&quot;yaxis&quot;,u.traceCoordinate[1]),zLabel:p(&quot;zaxis&quot;,u.traceCoordinate[2])},_=h.castHoverinfo(e,t.fullLayout,b),w=(_||&quot;&quot;).split(&quot;+&quot;),A=_&amp;&amp;&quot;all&quot;===_;e.hovertemplate||A||(-1===w.indexOf(&quot;x&quot;)&amp;&amp;(x.xLabel=void 0),-1===w.indexOf(&quot;y&quot;)&amp;&amp;(x.yLabel=void 0),-1===w.indexOf(&quot;z&quot;)&amp;&amp;(x.zLabel=void 0),-1===w.indexOf(&quot;text&quot;)&amp;&amp;(u.textLabel=void 0),-1===w.indexOf(&quot;name&quot;)&amp;&amp;(l.name=void 0));var M=[];&quot;cone&quot;===e.type||&quot;streamtube&quot;===e.type?(x.uLabel=p(&quot;xaxis&quot;,u.traceCoordinate[3]),(A||-1!==w.indexOf(&quot;u&quot;))&amp;&amp;M.push(&quot;u: &quot;+x.uLabel),x.vLabel=p(&quot;yaxis&quot;,u.traceCoordinate[4]),(A||-1!==w.indexOf(&quot;v&quot;))&amp;&amp;M.push(&quot;v: &quot;+x.vLabel),x.wLabel=p(&quot;zaxis&quot;,u.traceCoordinate[5]),(A||-1!==w.indexOf(&quot;w&quot;))&amp;&amp;M.push(&quot;w: &quot;+x.wLabel),x.normLabel=u.traceCoordinate[6].toPrecision(3),(A||-1!==w.indexOf(&quot;norm&quot;))&amp;&amp;M.push(&quot;norm: &quot;+x.normLabel),&quot;streamtube&quot;===e.type&amp;&amp;(x.divergenceLabel=u.traceCoordinate[7].toPrecision(3),(A||-1!==w.indexOf(&quot;divergence&quot;))&amp;&amp;M.push(&quot;divergence: &quot;+x.divergenceLabel)),u.textLabel&amp;&amp;M.push(u.textLabel),m=M.join(&quot;&lt;br&gt;&quot;)):&quot;isosurface&quot;===e.type?(x.valueLabel=f.tickText(t.mockAxis,t.mockAxis.d2l(u.traceCoordinate[3]),&quot;hover&quot;).text,M.push(&quot;value: &quot;+x.valueLabel),u.textLabel&amp;&amp;M.push(u.textLabel),m=M.join(&quot;&lt;br&gt;&quot;)):m=u.textLabel;var T={x:u.traceCoordinate[0],y:u.traceCoordinate[1],z:u.traceCoordinate[2],data:e._input,fullData:e,curveNumber:e.index,pointNumber:b};h.appendArrayPointValue(T,e,b),e._module.eventData&amp;&amp;(T=e._module.eventData(T,u,e,{},b));var k={points:[T]};t.fullSceneLayout.hovermode&amp;&amp;h.loneHover({trace:e,x:(.5+.5*v[0]/v[3])*i,y:(.5-.5*v[1]/v[3])*a,xLabel:x.xLabel,yLabel:x.yLabel,zLabel:x.zLabel,text:m,name:l.name,color:h.castHoverOption(e,b,&quot;bgcolor&quot;)||l.color,borderColor:h.castHoverOption(e,b,&quot;bordercolor&quot;),fontFamily:h.castHoverOption(e,b,&quot;font.family&quot;),fontSize:h.castHoverOption(e,b,&quot;font.size&quot;),fontColor:h.castHoverOption(e,b,&quot;font.color&quot;),hovertemplate:c.castOption(e,b,&quot;hovertemplate&quot;),hovertemplateLabels:c.extendFlat({},T,x),eventData:[T]},{container:r,gd:t.graphDiv}),u.buttons&amp;&amp;u.distance&lt;5?t.graphDiv.emit(&quot;plotly_click&quot;,k):t.graphDiv.emit(&quot;plotly_hover&quot;,k),o=k}else h.loneUnhover(r),t.graphDiv.emit(&quot;plotly_unhover&quot;,o);t.drawAnnotations(t)}.bind(null,t),t.traces={},t.make4thDimension(),!0}function x(t,e){var r=document.createElement(&quot;div&quot;),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(&quot;http://www.w3.org/2000/svg&quot;,&quot;svg&quot;);i.style.position=&quot;absolute&quot;,i.style.top=i.style.left=&quot;0px&quot;,i.style.width=i.style.height=&quot;100%&quot;,i.style[&quot;z-index&quot;]=20,i.style[&quot;pointer-events&quot;]=&quot;none&quot;,r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=&quot;absolute&quot;,r.style.top=r.style.left=&quot;0px&quot;,r.style.width=r.style.height=&quot;100%&quot;,n.appendChild(r),this.fullLayout=e,this.id=t.id||&quot;scene&quot;,this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=v(e,e[this.id]),this.spikeOptions=m(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(&quot;annotations3d&quot;,&quot;convert&quot;),this.drawAnnotations=u.getComponentMethod(&quot;annotations3d&quot;,&quot;draw&quot;),b(this,this.pixelRatio)}var _=x.prototype;_.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=&quot;orthographic&quot;===t.projection.type;this.camera=a(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:&quot;orbit&quot;})},_.recoverContext=function(){var t=this,e=this.glplot.gl,r=this.glplot.canvas,n=this.glplot.camera,i=this.glplot.pixelRatio;this.glplot.dispose(),requestAnimationFrame(function a(){e.isContextLost()?requestAnimationFrame(a):b(t,n,i,r)?t.plot.apply(t,t.plotArgs):c.error(&quot;Catastrophic and unrecoverable WebGL error. Context lost.&quot;)})};var w=[&quot;xaxis&quot;,&quot;yaxis&quot;,&quot;zaxis&quot;];function A(t,e,r){for(var n=t.fullSceneLayout,i=0;i&lt;3;i++){var a=w[i],o=a.charAt(0),s=n[a],l=e[o],u=e[o+&quot;calendar&quot;],f=e[&quot;_&quot;+o+&quot;length&quot;];if(c.isArrayOrTypedArray(l))for(var h,d=0;d&lt;(f||l.length);d++)if(c.isArrayOrTypedArray(l[d]))for(var p=0;p&lt;l[d].length;++p)h=s.d2l(l[d][p],0,u),!isNaN(h)&amp;&amp;isFinite(h)&amp;&amp;(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[d],0,u),!isNaN(h)&amp;&amp;isFinite(h)&amp;&amp;(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],f-1)}}function M(t){return{up:{x:t.up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?&quot;orthographic&quot;:&quot;perspective&quot;}}}_.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,s,l,u=e[this.id],c=r[this.id];u.bgcolor?this.glplot.clearColor=d(u.bgcolor):this.glplot.clearColor=[0,0,0,0],this.glplot.snapToData=!0,this.fullLayout=e,this.fullSceneLayout=u,this.glplotLayout=u,this.axesOptions.merge(e,u),this.spikeOptions.merge(u),this.setCamera(u.camera),this.updateFx(u.dragmode,u.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.update({}),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a&lt;t.length;++a)!0===(n=t[a]).visible&amp;&amp;A(this,n,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i&lt;3;i++)for(var a=w[i],o=a.charAt(0),s=r[a],l=0;l&lt;n.length;l++){var u=n[l];if(u.visible){var c=s.r2l(u[o]);!isNaN(c)&amp;&amp;isFinite(c)&amp;&amp;(e[0][i]=Math.min(e[0][i],c),e[1][i]=Math.max(e[1][i],c))}}}(this,f);var h=[1,1,1];for(o=0;o&lt;3;++o)f[1][o]===f[0][o]?h[o]=1:h[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=h,this.convertAnnotations(this),a=0;a&lt;t.length;++a)!0===(n=t[a]).visible&amp;&amp;((i=this.traces[n.uid])?i.data.type===n.type?i.update(n):(i.dispose(),i=n._module.plot(this,n),this.traces[n.uid]=i):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a&lt;p.length;++a){for(o=0;o&lt;t.length;++o)if(t[o].uid===p[a]&amp;&amp;!0===t[o].visible)continue t;(i=this.traces[p[a]]).dispose(),delete this.traces[p[a]]}this.glplot.objects.sort(function(t,e){return t._trace.data.index-e._trace.data.index});var g=[[0,0,0],[0,0,0]],v=[],m={};for(a=0;a&lt;3;++a){if((l=(s=u[w[a]]).type)in m?(m[l].acc*=h[a],m[l].count+=1):m[l]={acc:h[a],count:1},s.autorange){g[0][a]=1/0,g[1][a]=-1/0;var y=this.glplot.objects,b=this.fullSceneLayout.annotations||[],x=s._name.charAt(0);for(o=0;o&lt;y.length;o++){var _=y[o],M=_.bounds,T=_._trace.data._pad||0;&quot;ErrorBars&quot;===_.constructor.name&amp;&amp;s._lowerLogErrorBound?g[0][a]=Math.min(g[0][a],s._lowerLogErrorBound):g[0][a]=Math.min(g[0][a],M[0][a]/h[a]-T),g[1][a]=Math.max(g[1][a],M[1][a]/h[a]+T)}for(o=0;o&lt;b.length;o++){var k=b[o];if(k.visible){var E=s.r2l(k[x]);g[0][a]=Math.min(g[0][a],E),g[1][a]=Math.max(g[1][a],E)}}if(&quot;rangemode&quot;in s&amp;&amp;&quot;tozero&quot;===s.rangemode&amp;&amp;(g[0][a]=Math.min(g[0][a],0),g[1][a]=Math.max(g[1][a],0)),g[0][a]&gt;g[1][a])g[0][a]=-1,g[1][a]=1;else{var L=g[1][a]-g[0][a];g[0][a]-=L/32,g[1][a]+=L/32}if(&quot;reversed&quot;===s.autorange){var S=g[0][a];g[0][a]=g[1][a],g[1][a]=S}}else{var C=s.range;g[0][a]=s.r2l(C[0]),g[1][a]=s.r2l(C[1])}g[0][a]===g[1][a]&amp;&amp;(g[0][a]-=1,g[1][a]+=1),v[a]=g[1][a]-g[0][a],this.glplot.bounds[0][a]=g[0][a]*h[a],this.glplot.bounds[1][a]=g[1][a]*h[a]}var O=[1,1,1];for(a=0;a&lt;3;++a){var R=m[l=(s=u[w[a]]).type];O[a]=Math.pow(R.acc,1/R.count)/h[a]}var P;if(&quot;auto&quot;===u.aspectmode)P=Math.max.apply(null,O)/Math.min.apply(null,O)&lt;=4?O:[1,1,1];else if(&quot;cube&quot;===u.aspectmode)P=[1,1,1];else if(&quot;data&quot;===u.aspectmode)P=O;else{if(&quot;manual&quot;!==u.aspectmode)throw new Error(&quot;scene.js aspectRatio was not one of the enumerated types&quot;);var z=u.aspectratio;P=[z.x,z.y,z.z]}u.aspectratio.x=c.aspectratio.x=P[0],u.aspectratio.y=c.aspectratio.y=P[1],u.aspectratio.z=c.aspectratio.z=P[2],this.glplot.aspect=P;var I=u.domain||null,N=e._size||null;if(I&amp;&amp;N){var D=this.container.style;D.position=&quot;absolute&quot;,D.left=N.l+I.x[0]*N.w+&quot;px&quot;,D.top=N.t+(1-I.y[1])*N.h+&quot;px&quot;,D.width=N.w*(I.x[1]-I.x[0])+&quot;px&quot;,D.height=N.h*(I.y[1]-I.y[0])+&quot;px&quot;}this.glplot.redraw()}},_.destroy=function(){this.glplot&amp;&amp;(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(&quot;wheel&quot;,this.camera.wheelListener),this.camera=this.glplot.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},_.getCamera=function(){return this.glplot.camera.view.recalcMatrix(this.camera.view.lastT()),M(this.glplot.camera)},_.setCamera=function(t){var e;this.glplot.camera.lookAt.apply(this,[[(e=t).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]);var r=&quot;orthographic&quot;===t.projection.type;if(r!==this.glplot.camera._ortho){this.glplot.redraw();var n=this.glplot.pixelRatio,i=this.glplot.clearColor;this.glplot.gl.clearColor(i[0],i[1],i[2],i[3]),this.glplot.gl.clear(this.glplot.gl.DEPTH_BUFFER_BIT|this.glplot.gl.COLOR_BUFFER_BIT),this.glplot.dispose(),b(this,n),this.glplot.camera._ortho=r}},_.saveCamera=function(t){var e=this.fullLayout,r=this.getCamera(),n=c.nestedProperty(t,this.id+&quot;.camera&quot;),i=n.get(),a=!1;function o(t,e,r,n){var i=[&quot;up&quot;,&quot;center&quot;,&quot;eye&quot;],a=[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;];return e[i[r]]&amp;&amp;t[i[r]][a[n]]===e[i[r]][a[n]]}if(void 0===i)a=!0;else{for(var s=0;s&lt;3;s++)for(var l=0;l&lt;3;l++)if(!o(r,i,s,l)){a=!0;break}(!i.projection||r.projection&amp;&amp;r.projection.type!==i.projection.type)&amp;&amp;(a=!0)}if(a){var f={};f[this.id+&quot;.camera&quot;]=i,u.call(&quot;_storeDirectGUIEdit&quot;,t,e._preGUI,f),n.set(r),c.nestedProperty(e,this.id+&quot;.camera&quot;).set(r)}return a},_.updateFx=function(t,e){var r=this.camera;if(r)if(&quot;orbit&quot;===t)r.mode=&quot;orbit&quot;,r.keyBindingMode=&quot;rotate&quot;;else if(&quot;turntable&quot;===t){r.up=[0,0,1],r.mode=&quot;turntable&quot;,r.keyBindingMode=&quot;rotate&quot;;var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)&lt;.999){var f=this.id+&quot;.camera.up&quot;,h={x:0,y:0,z:1},d={};d[f]=h;var p=n.layout;u.call(&quot;_storeDirectGUIEdit&quot;,p,i._preGUI,d),a.up=h,c.nestedProperty(p,f).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},_.toImage=function(t){t||(t=&quot;png&quot;),this.staticMode&amp;&amp;this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o&lt;s;++o,--s)for(var l=0;l&lt;r;++l)for(var u=0;u&lt;4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement(&quot;canvas&quot;);f.width=r,f.height=i;var h,d=f.getContext(&quot;2d&quot;),p=d.createImageData(r,i);switch(p.data.set(a),d.putImageData(p,0,0),t){case&quot;jpeg&quot;:h=f.toDataURL(&quot;image/jpeg&quot;);break;case&quot;webp&quot;:h=f.toDataURL(&quot;image/webp&quot;);break;default:h=f.toDataURL(&quot;image/png&quot;)}return this.staticMode&amp;&amp;this.container.removeChild(n),h},_.setConvert=function(){for(var t=0;t&lt;3;t++){var e=this.fullSceneLayout[w[t]];f.setConvert(e,this.fullLayout),e.setScale=c.noop}},_.make4thDimension=function(){var t=this.graphDiv._fullLayout;this.mockAxis={type:&quot;linear&quot;,showexponent:&quot;all&quot;,exponentformat:&quot;B&quot;},f.setConvert(this.mockAxis,t)},e.exports=x},{&quot;../../components/fx&quot;:415,&quot;../../lib&quot;:495,&quot;../../lib/show_no_webgl_msg&quot;:515,&quot;../../lib/str2rgbarray&quot;:517,&quot;../../plots/cartesian/axes&quot;:541,&quot;../../registry&quot;:592,&quot;./layout/convert&quot;:574,&quot;./layout/spikes&quot;:577,&quot;./layout/tick_marks&quot;:578,&quot;./project&quot;:579,&quot;gl-plot3d&quot;:142,&quot;has-passive-events&quot;:252,&quot;webgl-context&quot;:357}],581:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;a&lt;n;a++)i[a]=[t[a],e[a],r[a]];return i}},{}],582:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./font_attributes&quot;),i=t(&quot;./animation_attributes&quot;),a=t(&quot;../components/color/attributes&quot;),o=t(&quot;../components/colorscale/layout_attributes&quot;),s=t(&quot;./pad_attributes&quot;),l=t(&quot;../lib/extend&quot;).extendFlat,u=n({editType:&quot;calc&quot;});u.family.dflt=&#x27;&quot;Open Sans&quot;, verdana, arial, sans-serif&#x27;,u.size.dflt=12,u.color.dflt=a.defaultLine,e.exports={font:u,title:{text:{valType:&quot;string&quot;,editType:&quot;layoutstyle&quot;},font:n({editType:&quot;layoutstyle&quot;}),xref:{valType:&quot;enumerated&quot;,dflt:&quot;container&quot;,values:[&quot;container&quot;,&quot;paper&quot;],editType:&quot;layoutstyle&quot;},yref:{valType:&quot;enumerated&quot;,dflt:&quot;container&quot;,values:[&quot;container&quot;,&quot;paper&quot;],editType:&quot;layoutstyle&quot;},x:{valType:&quot;number&quot;,min:0,max:1,dflt:.5,editType:&quot;layoutstyle&quot;},y:{valType:&quot;number&quot;,min:0,max:1,dflt:&quot;auto&quot;,editType:&quot;layoutstyle&quot;},xanchor:{valType:&quot;enumerated&quot;,dflt:&quot;auto&quot;,values:[&quot;auto&quot;,&quot;left&quot;,&quot;center&quot;,&quot;right&quot;],editType:&quot;layoutstyle&quot;},yanchor:{valType:&quot;enumerated&quot;,dflt:&quot;auto&quot;,values:[&quot;auto&quot;,&quot;top&quot;,&quot;middle&quot;,&quot;bottom&quot;],editType:&quot;layoutstyle&quot;},pad:l(s({editType:&quot;layoutstyle&quot;}),{}),editType:&quot;layoutstyle&quot;},autosize:{valType:&quot;boolean&quot;,dflt:!1,editType:&quot;none&quot;},width:{valType:&quot;number&quot;,min:10,dflt:700,editType:&quot;plot&quot;},height:{valType:&quot;number&quot;,min:10,dflt:450,editType:&quot;plot&quot;},margin:{l:{valType:&quot;number&quot;,min:0,dflt:80,editType:&quot;plot&quot;},r:{valType:&quot;number&quot;,min:0,dflt:80,editType:&quot;plot&quot;},t:{valType:&quot;number&quot;,min:0,dflt:100,editType:&quot;plot&quot;},b:{valType:&quot;number&quot;,min:0,dflt:80,editType:&quot;plot&quot;},pad:{valType:&quot;number&quot;,min:0,dflt:0,editType:&quot;plot&quot;},autoexpand:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;plot&quot;},editType:&quot;plot&quot;},paper_bgcolor:{valType:&quot;color&quot;,dflt:a.background,editType:&quot;plot&quot;},plot_bgcolor:{valType:&quot;color&quot;,dflt:a.background,editType:&quot;layoutstyle&quot;},separators:{valType:&quot;string&quot;,editType:&quot;plot&quot;},hidesources:{valType:&quot;boolean&quot;,dflt:!1,editType:&quot;plot&quot;},showlegend:{valType:&quot;boolean&quot;,editType:&quot;legend&quot;},colorway:{valType:&quot;colorlist&quot;,dflt:a.defaults,editType:&quot;calc&quot;},colorscale:o,datarevision:{valType:&quot;any&quot;,editType:&quot;calc&quot;},uirevision:{valType:&quot;any&quot;,editType:&quot;none&quot;},editrevision:{valType:&quot;any&quot;,editType:&quot;none&quot;},selectionrevision:{valType:&quot;any&quot;,editType:&quot;none&quot;},template:{valType:&quot;any&quot;,editType:&quot;calc&quot;},modebar:{orientation:{valType:&quot;enumerated&quot;,values:[&quot;v&quot;,&quot;h&quot;],dflt:&quot;h&quot;,editType:&quot;modebar&quot;},bgcolor:{valType:&quot;color&quot;,editType:&quot;modebar&quot;},color:{valType:&quot;color&quot;,editType:&quot;modebar&quot;},activecolor:{valType:&quot;color&quot;,editType:&quot;modebar&quot;},uirevision:{valType:&quot;any&quot;,editType:&quot;none&quot;},editType:&quot;modebar&quot;},meta:{valType:&quot;data_array&quot;,editType:&quot;plot&quot;},transition:l({},i.transition,{editType:&quot;none&quot;}),_deprecated:{title:{valType:&quot;string&quot;,editType:&quot;layoutstyle&quot;},titlefont:n({editType:&quot;layoutstyle&quot;})}}},{&quot;../components/color/attributes&quot;:375,&quot;../components/colorscale/layout_attributes&quot;:389,&quot;../lib/extend&quot;:488,&quot;./animation_attributes&quot;:536,&quot;./font_attributes&quot;:567,&quot;./pad_attributes&quot;:583}],583:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t){var e=t.editType;return{t:{valType:&quot;number&quot;,dflt:0,editType:e},r:{valType:&quot;number&quot;,dflt:0,editType:e},b:{valType:&quot;number&quot;,dflt:0,editType:e},l:{valType:&quot;number&quot;,dflt:0,editType:e},editType:e}}},{}],584:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;fast-isnumeric&quot;),a=t(&quot;../registry&quot;),o=t(&quot;../plot_api/plot_schema&quot;),s=t(&quot;../plot_api/plot_template&quot;),l=t(&quot;../lib&quot;),u=t(&quot;../components/color&quot;),c=t(&quot;../constants/numerical&quot;).BADNUM,f=t(&quot;../plots/cartesian/axis_ids&quot;),h=t(&quot;./animation_attributes&quot;),d=t(&quot;./frame_attributes&quot;),p=l.relinkPrivateKeys,g=l._,v=e.exports={};l.extendFlat(v,a),v.attributes=t(&quot;./attributes&quot;),v.attributes.type.values=v.allTypes,v.fontAttrs=t(&quot;./font_attributes&quot;),v.layoutAttributes=t(&quot;./layout_attributes&quot;),v.fontWeight=&quot;normal&quot;;var 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d=o[h];d[0][0].trace._module.plot(t,e,l.filterVisible(d),n)}e.traceHash=o}},{&quot;../components/color&quot;:376,&quot;../constants/numerical&quot;:475,&quot;../lib&quot;:495,&quot;../plot_api/plot_schema&quot;:530,&quot;../plot_api/plot_template&quot;:531,&quot;../plots/cartesian/axis_ids&quot;:544,&quot;../registry&quot;:592,&quot;./animation_attributes&quot;:536,&quot;./attributes&quot;:538,&quot;./command&quot;:565,&quot;./font_attributes&quot;:567,&quot;./frame_attributes&quot;:568,&quot;./layout_attributes&quot;:582,d3:81,&quot;fast-isnumeric&quot;:90}],585:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../../traces/scatter/attributes&quot;),i=n.marker,a=t(&quot;../../../lib/extend&quot;).extendFlat;[&quot;Area traces are deprecated!&quot;,&quot;Please switch to the *barpolar* trace type.&quot;].join(&quot; &quot;);e.exports={r:a({},n.r,{}),t:a({},n.t,{}),marker:{color:a({},i.color,{}),size:a({},i.size,{}),symbol:a({},i.symbol,{}),opacity:a({},i.opacity,{}),editType:&quot;calc&quot;}}},{&quot;../../../lib/extend&quot;:488,&quot;../../../traces/scatter/attributes&quot;:616}],586:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../cartesian/layout_attributes&quot;),i=t(&quot;../../../lib/extend&quot;).extendFlat,a=t(&quot;../../../plot_api/edit_types&quot;).overrideAll,o=[&quot;Legacy polar charts are deprecated!&quot;,&quot;Please switch to *polar* subplots.&quot;].join(&quot; &quot;),s=i({},n.domain,{});function l(t,e){return i({},e,{showline:{valType:&quot;boolean&quot;},showticklabels:{valType:&quot;boolean&quot;},tickorientation:{valType:&quot;enumerated&quot;,values:[&quot;horizontal&quot;,&quot;vertical&quot;]},ticklen:{valType:&quot;number&quot;,min:0},tickcolor:{valType:&quot;color&quot;},ticksuffix:{valType:&quot;string&quot;},endpadding:{valType:&quot;number&quot;,description:o},visible:{valType:&quot;boolean&quot;}})}e.exports=a({radialaxis:l(0,{range:{valType:&quot;info_array&quot;,items:[{valType:&quot;number&quot;},{valType:&quot;number&quot;}]},domain:s,orientation:{valType:&quot;number&quot;}}),angularaxis:l(0,{range:{valType:&quot;info_array&quot;,items:[{valType:&quot;number&quot;,dflt:0},{valType:&quot;number&quot;,dflt:360}]},domain:s}),layout:{direction:{valType:&quot;enumerated&quot;,values:[&quot;clockwise&quot;,&quot;counterclockwise&quot;]},orientation:{valType:&quot;angle&quot;}}},&quot;plot&quot;,&quot;nested&quot;)},{&quot;../../../lib/extend&quot;:488,&quot;../../../plot_api/edit_types&quot;:524,&quot;../../cartesian/layout_attributes&quot;:553}],587:[function(t,e,r){&quot;use strict&quot;;(e.exports=t(&quot;./micropolar&quot;)).manager=t(&quot;./micropolar_manager&quot;)},{&quot;./micropolar&quot;:588,&quot;./micropolar_manager&quot;:589}],588:[function(t,e,r){var n=t(&quot;d3&quot;),i=t(&quot;../../../lib&quot;).extendDeepAll,a=t(&quot;../../../constants/alignment&quot;).MID_SHIFT,o=e.exports={version:&quot;0.2.2&quot;};o.Axis=function(){var t,e,r,s,l={data:[],layout:{}},u={},c={},f=n.dispatch(&quot;hover&quot;),h={};return h.render=function(u){return function(u){e=u||e;var f=l.data,h=l.layout;(&quot;string&quot;==typeof e||e.nodeName)&amp;&amp;(e=n.select(e)),e.datum(f).each(function(e,l){var u=e.slice();c={data:o.util.cloneJson(u),layout:o.util.cloneJson(h)};var f=0;u.forEach(function(t,e){t.color||(t.color=h.defaultColorRange[f],f=(f+1)%h.defaultColorRange.length),t.strokeColor||(t.strokeColor=&quot;LinePlot&quot;===t.geometry?t.color:n.rgb(t.color).darker().toString()),c.data[e].color=t.color,c.data[e].strokeColor=t.strokeColor,c.data[e].strokeDash=t.strokeDash,c.data[e].strokeSize=t.strokeSize});var d=u.filter(function(t,e){var r=t.visible;return&quot;undefined&quot;==typeof r||!0===r}),p=!1,g=d.map(function(t,e){return p=p||&quot;undefined&quot;!=typeof t.groupId,t});if(p){var v=n.nest().key(function(t,e){return&quot;undefined&quot;!=typeof t.groupId?t.groupId:&quot;unstacked&quot;}).entries(g),m=[],y=v.map(function(t,e){if(&quot;unstacked&quot;===t.key)return t.values;var r=t.values[0].r.map(function(t,e){return 0});return t.values.forEach(function(t,e,n){t.yStack=[r],m.push(r),r=o.util.sumArrays(t.r,r)}),t.values});d=n.merge(y)}d.forEach(function(t,e){t.t=Array.isArray(t.t[0])?t.t:[t.t],t.r=Array.isArray(t.r[0])?t.r:[t.r]});var b=Math.min(h.width-h.margin.left-h.margin.right,h.height-h.margin.top-h.margin.bottom)/2;b=Math.max(10,b);var x,_=[h.margin.left+b,h.margin.top+b];x=p?[0,n.max(o.util.sumArrays(o.util.arrayLast(d).r[0],o.util.arrayLast(m)))]:n.extent(o.util.flattenArray(d.map(function(t,e){return t.r}))),h.radialAxis.domain!=o.DATAEXTENT&amp;&amp;(x[0]=0),r=n.scale.linear().domain(h.radialAxis.domain!=o.DATAEXTENT&amp;&amp;h.radialAxis.domain?h.radialAxis.domain:x).range([0,b]),c.layout.radialAxis.domain=r.domain();var w,A=o.util.flattenArray(d.map(function(t,e){return t.t})),M=&quot;string&quot;==typeof A[0];M&amp;&amp;(A=o.util.deduplicate(A),w=A.slice(),A=n.range(A.length),d=d.map(function(t,e){var r=t;return t.t=[A],p&amp;&amp;(r.yStack=t.yStack),r}));var T=d.filter(function(t,e){return&quot;LinePlot&quot;===t.geometry||&quot;DotPlot&quot;===t.geometry}).length===d.length,k=null===h.needsEndSpacing?M||!T:h.needsEndSpacing,E=h.angularAxis.domain&amp;&amp;h.angularAxis.domain!=o.DATAEXTENT&amp;&amp;!M&amp;&amp;h.angularAxis.domain[0]&gt;=0?h.angularAxis.domain:n.extent(A),L=Math.abs(A[1]-A[0]);T&amp;&amp;!M&amp;&amp;(L=0);var S=E.slice();k&amp;&amp;M&amp;&amp;(S[1]+=L);var C=h.angularAxis.ticksCount||4;C&gt;8&amp;&amp;(C=C/(C/8)+C%8),h.angularAxis.ticksStep&amp;&amp;(C=(S[1]-S[0])/C);var O=h.angularAxis.ticksStep||(S[1]-S[0])/(C*(h.minorTicks+1));w&amp;&amp;(O=Math.max(Math.round(O),1)),S[2]||(S[2]=O);var R=n.range.apply(this,S);if(R=R.map(function(t,e){return parseFloat(t.toPrecision(12))}),s=n.scale.linear().domain(S.slice(0,2)).range(&quot;clockwise&quot;===h.direction?[0,360]:[360,0]),c.layout.angularAxis.domain=s.domain(),c.layout.angularAxis.endPadding=k?L:0,&quot;undefined&quot;==typeof(t=n.select(this).select(&quot;svg.chart-root&quot;))||t.empty()){var P=(new DOMParser).parseFromString(&quot;&lt;svg xmlns=&#x27;http://www.w3.org/2000/svg&#x27; class=&#x27;chart-root&#x27;&gt;&#x27; + &#x27;&lt;g class=&#x27;outer-group&#x27;&gt;&#x27; + &#x27;&lt;g class=&#x27;chart-group&#x27;&gt;&#x27; + &#x27;&lt;circle class=&#x27;background-circle&#x27;&gt;&lt;/circle&gt;&#x27; + &#x27;&lt;g class=&#x27;geometry-group&#x27;&gt;&lt;/g&gt;&#x27; + &#x27;&lt;g class=&#x27;radial axis-group&#x27;&gt;&#x27; + &#x27;&lt;circle class=&#x27;outside-circle&#x27;&gt;&lt;/circle&gt;&#x27; + &#x27;&lt;/g&gt;&#x27; + &#x27;&lt;g class=&#x27;angular axis-group&#x27;&gt;&lt;/g&gt;&#x27; + &#x27;&lt;g 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I,N=t.select(&quot;.chart-group&quot;),D={fill:&quot;none&quot;,stroke:h.tickColor},F={&quot;font-size&quot;:h.font.size,&quot;font-family&quot;:h.font.family,fill:h.font.color,&quot;text-shadow&quot;:[&quot;-1px 0px&quot;,&quot;1px -1px&quot;,&quot;-1px 1px&quot;,&quot;1px 1px&quot;].map(function(t,e){return&quot; &quot;+t+&quot; 0 &quot;+h.font.outlineColor}).join(&quot;,&quot;)};if(h.showLegend){I=t.select(&quot;.legend-group&quot;).attr({transform:&quot;translate(&quot;+[b,h.margin.top]+&quot;)&quot;}).style({display:&quot;block&quot;});var j=d.map(function(t,e){var r=o.util.cloneJson(t);return r.symbol=&quot;DotPlot&quot;===t.geometry?t.dotType||&quot;circle&quot;:&quot;LinePlot&quot;!=t.geometry?&quot;square&quot;:&quot;line&quot;,r.visibleInLegend=&quot;undefined&quot;==typeof t.visibleInLegend||t.visibleInLegend,r.color=&quot;LinePlot&quot;===t.geometry?t.strokeColor:t.color,r});o.Legend().config({data:d.map(function(t,e){return t.name||&quot;Element&quot;+e}),legendConfig:i({},o.Legend.defaultConfig().legendConfig,{container:I,elements:j,reverseOrder:h.legend.reverseOrder})})();var B=I.node().getBBox();b=Math.min(h.width-B.width-h.margin.left-h.margin.right,h.height-h.margin.top-h.margin.bottom)/2,b=Math.max(10,b),_=[h.margin.left+b,h.margin.top+b],r.range([0,b]),c.layout.radialAxis.domain=r.domain(),I.attr(&quot;transform&quot;,&quot;translate(&quot;+[_[0]+b,_[1]-b]+&quot;)&quot;)}else I=t.select(&quot;.legend-group&quot;).style({display:&quot;none&quot;});t.attr({width:h.width,height:h.height}).style({opacity:h.opacity}),N.attr(&quot;transform&quot;,&quot;translate(&quot;+_+&quot;)&quot;).style({cursor:&quot;crosshair&quot;});var U=[(h.width-(h.margin.left+h.margin.right+2*b+(B?B.width:0)))/2,(h.height-(h.margin.top+h.margin.bottom+2*b))/2];if(U[0]=Math.max(0,U[0]),U[1]=Math.max(0,U[1]),t.select(&quot;.outer-group&quot;).attr(&quot;transform&quot;,&quot;translate(&quot;+U+&quot;)&quot;),h.title&amp;&amp;h.title.text){var V=t.select(&quot;g.title-group text&quot;).style(F).text(h.title.text),H=V.node().getBBox();V.attr({x:_[0]-H.width/2,y:_[1]-b-20})}var q=t.select(&quot;.radial.axis-group&quot;);if(h.radialAxis.gridLinesVisible){var G=q.selectAll(&quot;circle.grid-circle&quot;).data(r.ticks(5));G.enter().append(&quot;circle&quot;).attr({class:&quot;grid-circle&quot;}).style(D),G.attr(&quot;r&quot;,r),G.exit().remove()}q.select(&quot;circle.outside-circle&quot;).attr({r:b}).style(D);var X=t.select(&quot;circle.background-circle&quot;).attr({r:b}).style({fill:h.backgroundColor,stroke:h.stroke});function W(t,e){return s(t)%360+h.orientation}if(h.radialAxis.visible){var Y=n.svg.axis().scale(r).ticks(5).tickSize(5);q.call(Y).attr({transform:&quot;rotate(&quot;+h.radialAxis.orientation+&quot;)&quot;}),q.selectAll(&quot;.domain&quot;).style(D),q.selectAll(&quot;g&gt;text&quot;).text(function(t,e){return this.textContent+h.radialAxis.ticksSuffix}).style(F).style({&quot;text-anchor&quot;:&quot;start&quot;}).attr({x:0,y:0,dx:0,dy:0,transform:function(t,e){return&quot;horizontal&quot;===h.radialAxis.tickOrientation?&quot;rotate(&quot;+-h.radialAxis.orientation+&quot;) translate(&quot;+[0,F[&quot;font-size&quot;]]+&quot;)&quot;:&quot;translate(&quot;+[0,F[&quot;font-size&quot;]]+&quot;)&quot;}}),q.selectAll(&quot;g&gt;line&quot;).style({stroke:&quot;black&quot;})}var Z=t.select(&quot;.angular.axis-group&quot;).selectAll(&quot;g.angular-tick&quot;).data(R),Q=Z.enter().append(&quot;g&quot;).classed(&quot;angular-tick&quot;,!0);Z.attr({transform:function(t,e){return&quot;rotate(&quot;+W(t)+&quot;)&quot;}}).style({display:h.angularAxis.visible?&quot;block&quot;:&quot;none&quot;}),Z.exit().remove(),Q.append(&quot;line&quot;).classed(&quot;grid-line&quot;,!0).classed(&quot;major&quot;,function(t,e){return e%(h.minorTicks+1)==0}).classed(&quot;minor&quot;,function(t,e){return!(e%(h.minorTicks+1)==0)}).style(D),Q.selectAll(&quot;.minor&quot;).style({stroke:h.minorTickColor}),Z.select(&quot;line.grid-line&quot;).attr({x1:h.tickLength?b-h.tickLength:0,x2:b}).style({display:h.angularAxis.gridLinesVisible?&quot;block&quot;:&quot;none&quot;}),Q.append(&quot;text&quot;).classed(&quot;axis-text&quot;,!0).style(F);var $=Z.select(&quot;text.axis-text&quot;).attr({x:b+h.labelOffset,dy:a+&quot;em&quot;,transform:function(t,e){var r=W(t),n=b+h.labelOffset,i=h.angularAxis.tickOrientation;return&quot;horizontal&quot;==i?&quot;rotate(&quot;+-r+&quot; &quot;+n+&quot; 0)&quot;:&quot;radial&quot;==i?r&lt;270&amp;&amp;r&gt;90?&quot;rotate(180 &quot;+n+&quot; 0)&quot;:null:&quot;rotate(&quot;+(r&lt;=180&amp;&amp;r&gt;0?-90:90)+&quot; &quot;+n+&quot; 0)&quot;}}).style({&quot;text-anchor&quot;:&quot;middle&quot;,display:h.angularAxis.labelsVisible?&quot;block&quot;:&quot;none&quot;}).text(function(t,e){return e%(h.minorTicks+1)!=0?&quot;&quot;:w?w[t]+h.angularAxis.ticksSuffix:t+h.angularAxis.ticksSuffix}).style(F);h.angularAxis.rewriteTicks&amp;&amp;$.text(function(t,e){return e%(h.minorTicks+1)!=0?&quot;&quot;:h.angularAxis.rewriteTicks(this.textContent,e)});var J=n.max(N.selectAll(&quot;.angular-tick text&quot;)[0].map(function(t,e){return t.getCTM().e+t.getBBox().width}));I.attr({transform:&quot;translate(&quot;+[b+J,h.margin.top]+&quot;)&quot;});var K=t.select(&quot;g.geometry-group&quot;).selectAll(&quot;g&quot;).size()&gt;0,tt=t.select(&quot;g.geometry-group&quot;).selectAll(&quot;g.geometry&quot;).data(d);if(tt.enter().append(&quot;g&quot;).attr({class:function(t,e){return&quot;geometry geometry&quot;+e}}),tt.exit().remove(),d[0]||K){var et=[];d.forEach(function(t,e){var n={};n.radialScale=r,n.angularScale=s,n.container=tt.filter(function(t,r){return r==e}),n.geometry=t.geometry,n.orientation=h.orientation,n.direction=h.direction,n.index=e,et.push({data:t,geometryConfig:n})});var rt=n.nest().key(function(t,e){return&quot;undefined&quot;!=typeof t.data.groupId||&quot;unstacked&quot;}).entries(et),nt=[];rt.forEach(function(t,e){&quot;unstacked&quot;===t.key?nt=nt.concat(t.values.map(function(t,e){return[t]})):nt.push(t.values)}),nt.forEach(function(t,e){var r;r=Array.isArray(t)?t[0].geometryConfig.geometry:t.geometryConfig.geometry;var n=t.map(function(t,e){return i(o[r].defaultConfig(),t)});o[r]().config(n)()})}var it,at,ot=t.select(&quot;.guides-group&quot;),st=t.select(&quot;.tooltips-group&quot;),lt=o.tooltipPanel().config({container:st,fontSize:8})(),ut=o.tooltipPanel().config({container:st,fontSize:8})(),ct=o.tooltipPanel().config({container:st,hasTick:!0})();if(!M){var ft=ot.select(&quot;line&quot;).attr({x1:0,y1:0,y2:0}).style({stroke:&quot;grey&quot;,&quot;pointer-events&quot;:&quot;none&quot;});N.on(&quot;mousemove.angular-guide&quot;,function(t,e){var r=o.util.getMousePos(X).angle;ft.attr({x2:-b,transform:&quot;rotate(&quot;+r+&quot;)&quot;}).style({opacity:.5});var n=(r+180+360-h.orientation)%360;it=s.invert(n);var i=o.util.convertToCartesian(b+12,r+180);lt.text(o.util.round(it)).move([i[0]+_[0],i[1]+_[1]])}).on(&quot;mouseout.angular-guide&quot;,function(t,e){ot.select(&quot;line&quot;).style({opacity:0})})}var ht=ot.select(&quot;circle&quot;).style({stroke:&quot;grey&quot;,fill:&quot;none&quot;});N.on(&quot;mousemove.radial-guide&quot;,function(t,e){var n=o.util.getMousePos(X).radius;ht.attr({r:n}).style({opacity:.5}),at=r.invert(o.util.getMousePos(X).radius);var i=o.util.convertToCartesian(n,h.radialAxis.orientation);ut.text(o.util.round(at)).move([i[0]+_[0],i[1]+_[1]])}).on(&quot;mouseout.radial-guide&quot;,function(t,e){ht.style({opacity:0}),ct.hide(),lt.hide(),ut.hide()}),t.selectAll(&quot;.geometry-group .mark&quot;).on(&quot;mouseover.tooltip&quot;,function(e,r){var i=n.select(this),a=this.style.fill,s=&quot;black&quot;,l=this.style.opacity||1;if(i.attr({&quot;data-opacity&quot;:l}),a&amp;&amp;&quot;none&quot;!==a){i.attr({&quot;data-fill&quot;:a}),s=n.hsl(a).darker().toString(),i.style({fill:s,opacity:1});var u={t:o.util.round(e[0]),r:o.util.round(e[1])};M&amp;&amp;(u.t=w[e[0]]);var c=&quot;t: &quot;+u.t+&quot;, r: &quot;+u.r,f=this.getBoundingClientRect(),h=t.node().getBoundingClientRect(),d=[f.left+f.width/2-U[0]-h.left,f.top+f.height/2-U[1]-h.top];ct.config({color:s}).text(c),ct.move(d)}else 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n.sum(t)})},o.util.arrayLast=function(t){return t[t.length-1]},o.util.arrayEqual=function(t,e){for(var r=Math.max(t.length,e.length,1);r-- &gt;=0&amp;&amp;t[r]===e[r];);return-2===r},o.util.flattenArray=function(t){for(var e=[];!o.util.arrayEqual(e,t);)e=t,t=[].concat.apply([],t);return t},o.util.deduplicate=function(t){return t.filter(function(t,e,r){return r.indexOf(t)==e})},o.util.convertToCartesian=function(t,e){var r=e*Math.PI/180;return[t*Math.cos(r),t*Math.sin(r)]},o.util.round=function(t,e){var r=e||2,n=Math.pow(10,r);return Math.round(t*n)/n},o.util.getMousePos=function(t){var e=n.mouse(t.node()),r=e[0],i=e[1],a={};return a.x=r,a.y=i,a.pos=e,a.angle=180*(Math.atan2(i,r)+Math.PI)/Math.PI,a.radius=Math.sqrt(r*r+i*i),a},o.util.duplicatesCount=function(t){for(var e,r={},n={},i=0,a=t.length;i&lt;a;i++)(e=t[i])in r?(r[e]++,n[e]=r[e]):r[e]=1;return n},o.util.duplicates=function(t){return Object.keys(o.util.duplicatesCount(t))},o.util.translator=function(t,e,r,n){if(n){var i=r.slice();r=e,e=i}var a=e.reduce(function(t,e){if(&quot;undefined&quot;!=typeof t)return t[e]},t);&quot;undefined&quot;!=typeof a&amp;&amp;(e.reduce(function(t,r,n){if(&quot;undefined&quot;!=typeof t)return n===e.length-1&amp;&amp;delete t[r],t[r]},t),r.reduce(function(t,e,n){return&quot;undefined&quot;==typeof t[e]&amp;&amp;(t[e]={}),n===r.length-1&amp;&amp;(t[e]=a),t[e]},t))},o.PolyChart=function(){var t=[o.PolyChart.defaultConfig()],e=n.dispatch(&quot;hover&quot;),r={solid:&quot;none&quot;,dash:[5,2],dot:[2,5]};function a(){var e=t[0].geometryConfig,i=e.container;&quot;string&quot;==typeof i&amp;&amp;(i=n.select(i)),i.datum(t).each(function(t,i){var a=!!t[0].data.yStack,o=t.map(function(t,e){return a?n.zip(t.data.t[0],t.data.r[0],t.data.yStack[0]):n.zip(t.data.t[0],t.data.r[0])}),s=e.angularScale,l=e.radialScale.domain()[0],u={bar:function(r,i,a){var o=t[a].data,l=e.radialScale(r[1])-e.radialScale(0),u=e.radialScale(r[2]||0),c=o.barWidth;n.select(this).attr({class:&quot;mark 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s=r[2]?o[a].map(function(t,e){return[t[0],t[1]+t[2]]}):o[a];if(n.select(this).each(u.dot).style({opacity:function(e,r){return+t[a].data.dotVisible},fill:p.stroke(r,i,a)}).attr({class:&quot;mark dot&quot;}),!(i&gt;0)){var l=n.select(this.parentNode).selectAll(&quot;path.line&quot;).data([0]);l.enter().insert(&quot;path&quot;),l.attr({class:&quot;line&quot;,d:c(s),transform:function(t,r){return&quot;rotate(&quot;+(e.orientation+90)+&quot;)&quot;},&quot;pointer-events&quot;:&quot;none&quot;}).style({fill:function(t,e){return p.fill(r,i,a)},&quot;fill-opacity&quot;:0,stroke:function(t,e){return p.stroke(r,i,a)},&quot;stroke-width&quot;:function(t,e){return p[&quot;stroke-width&quot;](r,i,a)},&quot;stroke-dasharray&quot;:function(t,e){return p[&quot;stroke-dasharray&quot;](r,i,a)},opacity:function(t,e){return p.opacity(r,i,a)},display:function(t,e){return p.display(r,i,a)}})}};var f=e.angularScale.range(),h=Math.abs(f[1]-f[0])/o[0].length*Math.PI/180,d=n.svg.arc().startAngle(function(t){return-h/2}).endAngle(function(t){return h/2}).innerRadius(function(t){return e.radialScale(l+(t[2]||0))}).outerRadius(function(t){return e.radialScale(l+(t[2]||0))+e.radialScale(t[1])});u.arc=function(t,r,i){n.select(this).attr({class:&quot;mark arc&quot;,d:d,transform:function(t,r){return&quot;rotate(&quot;+(e.orientation+s(t[0])+90)+&quot;)&quot;}})};var p={fill:function(e,r,n){return t[n].data.color},stroke:function(e,r,n){return t[n].data.strokeColor},&quot;stroke-width&quot;:function(e,r,n){return t[n].data.strokeSize+&quot;px&quot;},&quot;stroke-dasharray&quot;:function(e,n,i){return r[t[i].data.strokeDash]},opacity:function(e,r,n){return t[n].data.opacity},display:function(e,r,n){return&quot;undefined&quot;==typeof 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arguments.length?(e.forEach(function(e,r){t[r]||(t[r]={}),i(t[r],o.PolyChart.defaultConfig()),i(t[r],e)}),this):t},a.getColorScale=function(){},n.rebind(a,e,&quot;on&quot;),a},o.PolyChart.defaultConfig=function(){return{data:{name:&quot;geom1&quot;,t:[[1,2,3,4]],r:[[1,2,3,4]],dotType:&quot;circle&quot;,dotSize:64,dotVisible:!1,barWidth:20,color:&quot;#ffa500&quot;,strokeSize:1,strokeColor:&quot;silver&quot;,strokeDash:&quot;solid&quot;,opacity:1,index:0,visible:!0,visibleInLegend:!0},geometryConfig:{geometry:&quot;LinePlot&quot;,geometryType:&quot;arc&quot;,direction:&quot;clockwise&quot;,orientation:0,container:&quot;body&quot;,radialScale:null,angularScale:null,colorScale:n.scale.category20()}}},o.BarChart=function(){return o.PolyChart()},o.BarChart.defaultConfig=function(){return{geometryConfig:{geometryType:&quot;bar&quot;}}},o.AreaChart=function(){return 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a=3*(i=u),&quot;line&quot;===(r=o)?&quot;M&quot;+[[-i/2,-i/12],[i/2,-i/12],[i/2,i/12],[-i/2,i/12]]+&quot;Z&quot;:-1!=n.svg.symbolTypes.indexOf(r)?n.svg.symbol().type(r).size(a)():n.svg.symbol().type(&quot;square&quot;).size(a)()},fill:function(t,e){return g(e)}}),y.exit().remove()}var b=n.svg.axis().scale(v).orient(&quot;right&quot;),x=h.select(&quot;g.legend-axis&quot;).attr({transform:&quot;translate(&quot;+[c?e.colorBandWidth:u,u/2]+&quot;)&quot;}).call(b);return x.selectAll(&quot;.domain&quot;).style({fill:&quot;none&quot;,stroke:&quot;none&quot;}),x.selectAll(&quot;line&quot;).style({fill:&quot;none&quot;,stroke:c?e.textColor:&quot;none&quot;}),x.selectAll(&quot;text&quot;).style({fill:e.textColor,&quot;font-size&quot;:e.fontSize}).text(function(t,e){return o[e].name}),r}return r.config=function(e){return arguments.length?(i(t,e),this):t},n.rebind(r,e,&quot;on&quot;),r},o.Legend.defaultConfig=function(t,e){return{data:[&quot;a&quot;,&quot;b&quot;,&quot;c&quot;],legendConfig:{elements:[{symbol:&quot;line&quot;,color:&quot;red&quot;},{symbol:&quot;square&quot;,color:&quot;yellow&quot;},{symbol:&quot;diamond&quot;,color:&quot;limegreen&quot;}],height:150,colorBandWidth:30,fontSize:12,container:&quot;body&quot;,isContinuous:null,textColor:&quot;grey&quot;,reverseOrder:!1}}},o.tooltipPanel=function(){var t,e,r,a={container:null,hasTick:!1,fontSize:12,color:&quot;white&quot;,padding:5},s=&quot;tooltip-&quot;+o.tooltipPanel.uid++,l=10,u=function(){var n=(t=a.container.selectAll(&quot;g.&quot;+s).data([0])).enter().append(&quot;g&quot;).classed(s,!0).style({&quot;pointer-events&quot;:&quot;none&quot;,display:&quot;none&quot;});return r=n.append(&quot;path&quot;).style({fill:&quot;white&quot;,&quot;fill-opacity&quot;:.9}).attr({d:&quot;M0 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t.style({display:&quot;block&quot;}),u},u.config=function(t){return i(a,t),u},u},o.tooltipPanel.uid=1,o.adapter={},o.adapter.plotly=function(){var t={convert:function(t,e){var r={};if(t.data&amp;&amp;(r.data=t.data.map(function(t,r){var n=i({},t);return[[n,[&quot;marker&quot;,&quot;color&quot;],[&quot;color&quot;]],[n,[&quot;marker&quot;,&quot;opacity&quot;],[&quot;opacity&quot;]],[n,[&quot;marker&quot;,&quot;line&quot;,&quot;color&quot;],[&quot;strokeColor&quot;]],[n,[&quot;marker&quot;,&quot;line&quot;,&quot;dash&quot;],[&quot;strokeDash&quot;]],[n,[&quot;marker&quot;,&quot;line&quot;,&quot;width&quot;],[&quot;strokeSize&quot;]],[n,[&quot;marker&quot;,&quot;symbol&quot;],[&quot;dotType&quot;]],[n,[&quot;marker&quot;,&quot;size&quot;],[&quot;dotSize&quot;]],[n,[&quot;marker&quot;,&quot;barWidth&quot;],[&quot;barWidth&quot;]],[n,[&quot;line&quot;,&quot;interpolation&quot;],[&quot;lineInterpolation&quot;]],[n,[&quot;showlegend&quot;],[&quot;visibleInLegend&quot;]]].forEach(function(t,r){o.util.translator.apply(null,t.concat(e))}),e||delete n.marker,e&amp;&amp;delete n.groupId,e?(&quot;LinePlot&quot;===n.geometry?(n.type=&quot;scatter&quot;,!0===n.dotVisible?(delete n.dotVisible,n.mode=&quot;lines+markers&quot;):n.mode=&quot;lines&quot;):&quot;DotPlot&quot;===n.geometry?(n.type=&quot;scatter&quot;,n.mode=&quot;markers&quot;):&quot;AreaChart&quot;===n.geometry?n.type=&quot;area&quot;:&quot;BarChart&quot;===n.geometry&amp;&amp;(n.type=&quot;bar&quot;),delete n.geometry):(&quot;scatter&quot;===n.type?&quot;lines&quot;===n.mode?n.geometry=&quot;LinePlot&quot;:&quot;markers&quot;===n.mode?n.geometry=&quot;DotPlot&quot;:&quot;lines+markers&quot;===n.mode&amp;&amp;(n.geometry=&quot;LinePlot&quot;,n.dotVisible=!0):&quot;area&quot;===n.type?n.geometry=&quot;AreaChart&quot;:&quot;bar&quot;===n.type&amp;&amp;(n.geometry=&quot;BarChart&quot;),delete n.mode,delete n.type),n}),!e&amp;&amp;t.layout&amp;&amp;&quot;stack&quot;===t.layout.barmode)){var a=o.util.duplicates(r.data.map(function(t,e){return t.geometry}));r.data.forEach(function(t,e){var n=a.indexOf(t.geometry);-1!=n&amp;&amp;(r.data[e].groupId=n)})}if(t.layout){var s=i({},t.layout);if([[s,[&quot;plot_bgcolor&quot;],[&quot;backgroundColor&quot;]],[s,[&quot;showlegend&quot;],[&quot;showLegend&quot;]],[s,[&quot;radialaxis&quot;],[&quot;radialAxis&quot;]],[s,[&quot;angularaxis&quot;],[&quot;angularAxis&quot;]],[s.angularaxis,[&quot;showline&quot;],[&quot;gridLinesVisible&quot;]],[s.angularaxis,[&quot;showticklabels&quot;],[&quot;labelsVisible&quot;]],[s.angularaxis,[&quot;nticks&quot;],[&quot;ticksCount&quot;]],[s.angularaxis,[&quot;tickorientation&quot;],[&quot;tickOrientation&quot;]],[s.angularaxis,[&quot;ticksuffix&quot;],[&quot;ticksSuffix&quot;]],[s.angularaxis,[&quot;range&quot;],[&quot;domain&quot;]],[s.angularaxis,[&quot;endpadding&quot;],[&quot;endPadding&quot;]],[s.radialaxis,[&quot;showline&quot;],[&quot;gridLinesVisible&quot;]],[s.radialaxis,[&quot;tickorientation&quot;],[&quot;tickOrientation&quot;]],[s.radialaxis,[&quot;ticksuffix&quot;],[&quot;ticksSuffix&quot;]],[s.radialaxis,[&quot;range&quot;],[&quot;domain&quot;]],[s.angularAxis,[&quot;showline&quot;],[&quot;gridLinesVisible&quot;]],[s.angularAxis,[&quot;showticklabels&quot;],[&quot;labelsVisible&quot;]],[s.angularAxis,[&quot;nticks&quot;],[&quot;ticksCount&quot;]],[s.angularAxis,[&quot;tickorientation&quot;],[&quot;tickOrientation&quot;]],[s.angularAxis,[&quot;ticksuffix&quot;],[&quot;ticksSuffix&quot;]],[s.angularAxis,[&quot;range&quot;],[&quot;domain&quot;]],[s.angularAxis,[&quot;endpadding&quot;],[&quot;endPadding&quot;]],[s.radialAxis,[&quot;showline&quot;],[&quot;gridLinesVisible&quot;]],[s.radialAxis,[&quot;tickorientation&quot;],[&quot;tickOrientation&quot;]],[s.radialAxis,[&quot;ticksuffix&quot;],[&quot;ticksSuffix&quot;]],[s.radialAxis,[&quot;range&quot;],[&quot;domain&quot;]],[s.font,[&quot;outlinecolor&quot;],[&quot;outlineColor&quot;]],[s.legend,[&quot;traceorder&quot;],[&quot;reverseOrder&quot;]],[s,[&quot;labeloffset&quot;],[&quot;labelOffset&quot;]],[s,[&quot;defaultcolorrange&quot;],[&quot;defaultColorRange&quot;]]].forEach(function(t,r){o.util.translator.apply(null,t.concat(e))}),e?(&quot;undefined&quot;!=typeof s.tickLength&amp;&amp;(s.angularaxis.ticklen=s.tickLength,delete s.tickLength),s.tickColor&amp;&amp;(s.angularaxis.tickcolor=s.tickColor,delete s.tickColor)):(s.angularAxis&amp;&amp;&quot;undefined&quot;!=typeof s.angularAxis.ticklen&amp;&amp;(s.tickLength=s.angularAxis.ticklen),s.angularAxis&amp;&amp;&quot;undefined&quot;!=typeof s.angularAxis.tickcolor&amp;&amp;(s.tickColor=s.angularAxis.tickcolor)),s.legend&amp;&amp;&quot;boolean&quot;!=typeof s.legend.reverseOrder&amp;&amp;(s.legend.reverseOrder=&quot;normal&quot;!=s.legend.reverseOrder),s.legend&amp;&amp;&quot;boolean&quot;==typeof s.legend.traceorder&amp;&amp;(s.legend.traceorder=s.legend.traceorder?&quot;reversed&quot;:&quot;normal&quot;,delete s.legend.reverseOrder),s.margin&amp;&amp;&quot;undefined&quot;!=typeof s.margin.t){var l=[&quot;t&quot;,&quot;r&quot;,&quot;b&quot;,&quot;l&quot;,&quot;pad&quot;],u=[&quot;top&quot;,&quot;right&quot;,&quot;bottom&quot;,&quot;left&quot;,&quot;pad&quot;],c={};n.entries(s.margin).forEach(function(t,e){c[u[l.indexOf(t.key)]]=t.value}),s.margin=c}e&amp;&amp;(delete s.needsEndSpacing,delete s.minorTickColor,delete s.minorTicks,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksStep,delete s.angularaxis.rewriteTicks,delete s.angularaxis.nticks,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksStep,delete s.radialaxis.rewriteTicks,delete s.radialaxis.nticks),r.layout=s}return r}};return t}},{&quot;../../../constants/alignment&quot;:471,&quot;../../../lib&quot;:495,d3:81}],589:[function(t,e,r){&quot;use strict&quot;;var 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c=r[u],f=i[u],h=a[u],d=Math.sqrt(c*c+f*f+h*h);s=Math.max(s,d),l=Math.min(l,d)}e._len=o,e._normMax=s,n(t,e,{vals:[l,s],containerStr:&quot;&quot;,cLetter:&quot;c&quot;})}},{&quot;../../components/colorscale/calc&quot;:384}],603:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;gl-cone3d&quot;),i=t(&quot;gl-cone3d&quot;).createConeMesh,a=t(&quot;../../lib&quot;).simpleMap,o=t(&quot;../../lib/gl_format_color&quot;).parseColorScale,s=t(&quot;../../plots/gl3d/zip3&quot;);function l(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var u=l.prototype;u.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index,r=this.data.x[e],n=this.data.y[e],i=this.data.z[e],a=this.data.u[e],o=this.data.v[e],s=this.data.w[e];t.traceCoordinate=[r,n,i,a,o,s,Math.sqrt(a*a+o*o+s*s)];var l=this.data.hovertext||this.data.text;return Array.isArray(l)&amp;&amp;void 0!==l[e]?t.textLabel=l[e]:l&amp;&amp;(t.textLabel=l),!0}};var c={xaxis:0,yaxis:1,zaxis:2},f={tip:1,tail:0,cm:.25,center:.5},h={tip:1,tail:1,cm:.75,center:.5};function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,l={};function u(t,e){var n=r[e],o=i[c[e]];return a(t,function(t){return n.d2l(t)*o})}l.vectors=s(u(e.u,&quot;xaxis&quot;),u(e.v,&quot;yaxis&quot;),u(e.w,&quot;zaxis&quot;),e._len),l.positions=s(u(e.x,&quot;xaxis&quot;),u(e.y,&quot;yaxis&quot;),u(e.z,&quot;zaxis&quot;),e._len),l.colormap=o(e),l.vertexIntensityBounds=[e.cmin/e._normMax,e.cmax/e._normMax],l.coneOffset=f[e.anchor],&quot;scaled&quot;===e.sizemode?l.coneSize=e.sizeref||.5:l.coneSize=e.sizeref&amp;&amp;e._normMax?e.sizeref/e._normMax:.5;var d=n(l),p=e.lightposition;return d.lightPosition=[p.x,p.y,p.z],d.ambient=e.lighting.ambient,d.diffuse=e.lighting.diffuse,d.specular=e.lighting.specular,d.roughness=e.lighting.roughness,d.fresnel=e.lighting.fresnel,d.opacity=e.opacity,e._pad=h[e.anchor]*d.vectorScale*d.coneScale*e._normMax,d}u.update=function(t){this.data=t;var e=d(this.scene,t);this.mesh.update(e)},u.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,n=d(t,e),a=i(r,n),o=new l(t,e.uid);return o.mesh=a,o.data=e,a._trace=o,t.glplot.add(a),o}},{&quot;../../lib&quot;:495,&quot;../../lib/gl_format_color&quot;:493,&quot;../../plots/gl3d/zip3&quot;:581,&quot;gl-cone3d&quot;:104}],604:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../components/colorscale/defaults&quot;),a=t(&quot;./attributes&quot;);e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var 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n=t(&quot;../../components/colorscale/attributes&quot;),i=t(&quot;../../components/colorbar/attributes&quot;),a=t(&quot;../../components/fx/hovertemplate_attributes&quot;),o=t(&quot;../surface/attributes&quot;),s=t(&quot;../../plots/attributes&quot;),l=t(&quot;../../lib/extend&quot;).extendFlat;e.exports=l({x:{valType:&quot;data_array&quot;,editType:&quot;calc+clearAxisTypes&quot;},y:{valType:&quot;data_array&quot;,editType:&quot;calc+clearAxisTypes&quot;},z:{valType:&quot;data_array&quot;,editType:&quot;calc+clearAxisTypes&quot;},i:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},j:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},k:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},text:{valType:&quot;string&quot;,dflt:&quot;&quot;,arrayOk:!0,editType:&quot;calc&quot;},hovertext:{valType:&quot;string&quot;,dflt:&quot;&quot;,arrayOk:!0,editType:&quot;calc&quot;},hovertemplate:a({editType:&quot;calc&quot;}),delaunayaxis:{valType:&quot;enumerated&quot;,values:[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;],dflt:&quot;z&quot;,editType:&quot;calc&quot;},alphahull:{valType:&quot;number&quot;,dflt:-1,editType:&quot;calc&quot;},intensity:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},color:{valType:&quot;color&quot;,editType:&quot;calc&quot;},vertexcolor:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},facecolor:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},transforms:void 0},n(&quot;&quot;,{colorAttr:&quot;`intensity`&quot;,showScaleDflt:!0,editTypeOverride:&quot;calc&quot;}),{colorbar:i,opacity:o.opacity,flatshading:{valType:&quot;boolean&quot;,dflt:!1,editType:&quot;calc&quot;},contour:{show:l({},o.contours.x.show,{}),color:o.contours.x.color,width:o.contours.x.width,editType:&quot;calc&quot;},lightposition:{x:l({},o.lightposition.x,{dflt:1e5}),y:l({},o.lightposition.y,{dflt:1e5}),z:l({},o.lightposition.z,{dflt:0}),editType:&quot;calc&quot;},lighting:l({vertexnormalsepsilon:{valType:&quot;number&quot;,min:0,max:1,dflt:1e-12,editType:&quot;calc&quot;},facenormalsepsilon:{valType:&quot;number&quot;,min:0,max:1,dflt:1e-6,editType:&quot;calc&quot;},editType:&quot;calc&quot;},o.lighting),hoverinfo:l({},s.hoverinfo,{editType:&quot;calc&quot;})})},{&quot;../../components/colorbar/attributes&quot;:377,&quot;../../components/colorscale/attributes&quot;:383,&quot;../../components/fx/hovertemplate_attributes&quot;:414,&quot;../../lib/extend&quot;:488,&quot;../../plots/attributes&quot;:538,&quot;../surface/attributes&quot;:654}],609:[function(t,e,r){&quot;use 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r=t.length,n=0;n&lt;r;n++)if(t[n]&lt;=-.5||t[n]&gt;=e-.5)return!1;return!0}f.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return Array.isArray(r)&amp;&amp;void 0!==r[e]?t.textLabel=r[e]:r&amp;&amp;(t.textLabel=r),!0}},f.update=function(t){var e=this.scene,r=e.fullSceneLayout;this.data=t;var n,c=t.x.length,f=u(d(r.xaxis,t.x,e.dataScale[0],t.xcalendar),d(r.yaxis,t.y,e.dataScale[1],t.ycalendar),d(r.zaxis,t.z,e.dataScale[2],t.zcalendar));if(t.i&amp;&amp;t.j&amp;&amp;t.k){if(t.i.length!==t.j.length||t.j.length!==t.k.length||!g(t.i,c)||!g(t.j,c)||!g(t.k,c))return;n=u(p(t.i),p(t.j),p(t.k))}else n=0===t.alphahull?o(f):t.alphahull&gt;0?a(t.alphahull,f):function(t,e){for(var r=[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;].indexOf(t),n=[],a=e.length,o=0;o&lt;a;o++)n[o]=[e[o][(r+1)%3],e[o][(r+2)%3]];return i(n)}(t.delaunayaxis,f);var v={positions:f,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:l(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};t.intensity?(this.color=&quot;#fff&quot;,v.vertexIntensity=t.intensity,v.vertexIntensityBounds=[t.cmin,t.cmax],v.colormap=s(t)):t.vertexcolor?(this.color=t.vertexcolor[0],v.vertexColors=h(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],v.cellColors=h(t.facecolor)):(this.color=t.color,v.meshColor=l(t.color)),this.mesh.update(v)},f.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new c(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{&quot;../../lib/gl_format_color&quot;:493,&quot;../../lib/str2rgbarray&quot;:517,&quot;../../plots/gl3d/zip3&quot;:581,&quot;alpha-shape&quot;:15,&quot;convex-hull&quot;:72,&quot;delaunay-triangulate&quot;:83,&quot;gl-mesh3d&quot;:139}],611:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../registry&quot;),i=t(&quot;../../lib&quot;),a=t(&quot;../../components/colorscale/defaults&quot;),o=t(&quot;./attributes&quot;);e.exports=function(t,e,r,s){function l(r,n){return i.coerce(t,e,o,r,n)}function u(t){var e=t.map(function(t){var e=l(t);return e&amp;&amp;i.isArrayOrTypedArray(e)?e:null});return e.every(function(t){return 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n={};n.attributes=t(&quot;./attributes&quot;),n.supplyDefaults=t(&quot;./defaults&quot;),n.calc=t(&quot;./calc&quot;),n.colorbar={min:&quot;cmin&quot;,max:&quot;cmax&quot;},n.plot=t(&quot;./convert&quot;),n.moduleType=&quot;trace&quot;,n.name=&quot;mesh3d&quot;,n.basePlotModule=t(&quot;../../plots/gl3d&quot;),n.categories=[&quot;gl3d&quot;],n.meta={},e.exports=n},{&quot;../../plots/gl3d&quot;:570,&quot;./attributes&quot;:608,&quot;./calc&quot;:609,&quot;./convert&quot;:610,&quot;./defaults&quot;:611}],613:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;);r.formatPiePercent=function(t,e){var r=(100*t).toPrecision(3);return-1!==r.lastIndexOf(&quot;.&quot;)&amp;&amp;(r=r.replace(/[.]?0+$/,&quot;&quot;)),n.numSeparate(r,e)+&quot;%&quot;},r.formatPieValue=function(t,e){var r=t.toPrecision(10);return-1!==r.lastIndexOf(&quot;.&quot;)&amp;&amp;(r=r.replace(/[.]?0+$/,&quot;&quot;)),n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r&lt;e.length;r++){var n=t[e[r]];if(n||0===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0}},{&quot;../../lib&quot;:495}],614:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../components/color&quot;),i=t(&quot;./helpers&quot;).castOption;e.exports=function(t,e,r){var a=r.marker.line,o=i(a.color,e.pts)||n.defaultLine,s=i(a.width,e.pts)||0;t.style({&quot;stroke-width&quot;:s}).call(n.fill,e.color).call(n.stroke,o)}},{&quot;../../components/color&quot;:376,&quot;./helpers&quot;:613}],615:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;);e.exports=function(t,e){for(var r=0;r&lt;t.length;r++)t[r].i=r;n.mergeArray(e.text,t,&quot;tx&quot;),n.mergeArray(e.hovertext,t,&quot;htx&quot;),n.mergeArray(e.customdata,t,&quot;data&quot;),n.mergeArray(e.textposition,t,&quot;tp&quot;),e.textfont&amp;&amp;(n.mergeArray(e.textfont.size,t,&quot;ts&quot;),n.mergeArray(e.textfont.color,t,&quot;tc&quot;),n.mergeArray(e.textfont.family,t,&quot;tf&quot;));var i=e.marker;if(i){n.mergeArray(i.size,t,&quot;ms&quot;),n.mergeArray(i.opacity,t,&quot;mo&quot;),n.mergeArray(i.symbol,t,&quot;mx&quot;),n.mergeArray(i.color,t,&quot;mc&quot;);var a=i.line;i.line&amp;&amp;(n.mergeArray(a.color,t,&quot;mlc&quot;),n.mergeArray(a.width,t,&quot;mlw&quot;));var o=i.gradient;o&amp;&amp;&quot;none&quot;!==o.type&amp;&amp;(n.mergeArray(o.type,t,&quot;mgt&quot;),n.mergeArray(o.color,t,&quot;mgc&quot;))}}},{&quot;../../lib&quot;:495}],616:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../components/fx/hovertemplate_attributes&quot;),i=t(&quot;../../components/colorscale/attributes&quot;),a=t(&quot;../../components/colorbar/attributes&quot;),o=t(&quot;../../plots/font_attributes&quot;),s=t(&quot;../../components/drawing/attributes&quot;).dash,l=t(&quot;../../components/drawing&quot;),u=t(&quot;./constants&quot;),c=t(&quot;../../lib/extend&quot;).extendFlat;e.exports={x:{valType:&quot;data_array&quot;,editType:&quot;calc+clearAxisTypes&quot;,anim:!0},x0:{valType:&quot;any&quot;,dflt:0,editType:&quot;calc+clearAxisTypes&quot;,anim:!0},dx:{valType:&quot;number&quot;,dflt:1,editType:&quot;calc&quot;,anim:!0},y:{valType:&quot;data_array&quot;,editType:&quot;calc+clearAxisTypes&quot;,anim:!0},y0:{valType:&quot;any&quot;,dflt:0,editType:&quot;calc+clearAxisTypes&quot;,anim:!0},dy:{valType:&quot;number&quot;,dflt:1,editType:&quot;calc&quot;,anim:!0},stackgroup:{valType:&quot;string&quot;,dflt:&quot;&quot;,editType:&quot;calc&quot;},orientation:{valType:&quot;enumerated&quot;,values:[&quot;v&quot;,&quot;h&quot;],editType:&quot;calc&quot;},groupnorm:{valType:&quot;enumerated&quot;,values:[&quot;&quot;,&quot;fraction&quot;,&quot;percent&quot;],dflt:&quot;&quot;,editType:&quot;calc&quot;},stackgaps:{valType:&quot;enumerated&quot;,values:[&quot;infer 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zero&quot;,editType:&quot;calc&quot;},text:{valType:&quot;string&quot;,dflt:&quot;&quot;,arrayOk:!0,editType:&quot;calc&quot;},hovertext:{valType:&quot;string&quot;,dflt:&quot;&quot;,arrayOk:!0,editType:&quot;style&quot;},mode:{valType:&quot;flaglist&quot;,flags:[&quot;lines&quot;,&quot;markers&quot;,&quot;text&quot;],extras:[&quot;none&quot;],editType:&quot;calc&quot;},hoveron:{valType:&quot;flaglist&quot;,flags:[&quot;points&quot;,&quot;fills&quot;],editType:&quot;style&quot;},hovertemplate:n({},{keys:u.eventDataKeys}),line:{color:{valType:&quot;color&quot;,editType:&quot;style&quot;,anim:!0},width:{valType:&quot;number&quot;,min:0,dflt:2,editType:&quot;style&quot;,anim:!0},shape:{valType:&quot;enumerated&quot;,values:[&quot;linear&quot;,&quot;spline&quot;,&quot;hv&quot;,&quot;vh&quot;,&quot;hvh&quot;,&quot;vhv&quot;],dflt:&quot;linear&quot;,editType:&quot;plot&quot;},smoothing:{valType:&quot;number&quot;,min:0,max:1.3,dflt:1,editType:&quot;plot&quot;},dash:c({},s,{editType:&quot;style&quot;}),simplify:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;plot&quot;},editType:&quot;plot&quot;},connectgaps:{valType:&quot;boolean&quot;,dflt:!1,editType:&quot;calc&quot;},cliponaxis:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;plot&quot;},fill:{valType:&quot;enumerated&quot;,values:[&quot;none&quot;,&quot;tozeroy&quot;,&quot;tozerox&quot;,&quot;tonexty&quot;,&quot;tonextx&quot;,&quot;toself&quot;,&quot;tonext&quot;],editType:&quot;calc&quot;},fillcolor:{valType:&quot;color&quot;,editType:&quot;style&quot;,anim:!0},marker:c({symbol:{valType:&quot;enumerated&quot;,values:l.symbolList,dflt:&quot;circle&quot;,arrayOk:!0,editType:&quot;style&quot;},opacity:{valType:&quot;number&quot;,min:0,max:1,arrayOk:!0,editType:&quot;style&quot;,anim:!0},size:{valType:&quot;number&quot;,min:0,dflt:6,arrayOk:!0,editType:&quot;calc&quot;,anim:!0},maxdisplayed:{valType:&quot;number&quot;,min:0,dflt:0,editType:&quot;plot&quot;},sizeref:{valType:&quot;number&quot;,dflt:1,editType:&quot;calc&quot;},sizemin:{valType:&quot;number&quot;,min:0,dflt:0,editType:&quot;calc&quot;},sizemode:{valType:&quot;enumerated&quot;,values:[&quot;diameter&quot;,&quot;area&quot;],dflt:&quot;diameter&quot;,editType:&quot;calc&quot;},colorbar:a,line:c({width:{valType:&quot;number&quot;,min:0,arrayOk:!0,editType:&quot;style&quot;,anim:!0},editType:&quot;calc&quot;},i(&quot;marker.line&quot;,{anim:!0})),gradient:{type:{valType:&quot;enumerated&quot;,values:[&quot;radial&quot;,&quot;horizontal&quot;,&quot;vertical&quot;,&quot;none&quot;],arrayOk:!0,dflt:&quot;none&quot;,editType:&quot;calc&quot;},color:{valType:&quot;color&quot;,arrayOk:!0,editType:&quot;calc&quot;},editType:&quot;calc&quot;},editType:&quot;calc&quot;},i(&quot;marker&quot;,{anim:!0})),selected:{marker:{opacity:{valType:&quot;number&quot;,min:0,max:1,editType:&quot;style&quot;},color:{valType:&quot;color&quot;,editType:&quot;style&quot;},size:{valType:&quot;number&quot;,min:0,editType:&quot;style&quot;},editType:&quot;style&quot;},textfont:{color:{valType:&quot;color&quot;,editType:&quot;style&quot;},editType:&quot;style&quot;},editType:&quot;style&quot;},unselected:{marker:{opacity:{valType:&quot;number&quot;,min:0,max:1,editType:&quot;style&quot;},color:{valType:&quot;color&quot;,editType:&quot;style&quot;},size:{valType:&quot;number&quot;,min:0,editType:&quot;style&quot;},editType:&quot;style&quot;},textfont:{color:{valType:&quot;color&quot;,editType:&quot;style&quot;},editType:&quot;style&quot;},editType:&quot;style&quot;},textposition:{valType:&quot;enumerated&quot;,values:[&quot;top left&quot;,&quot;top center&quot;,&quot;top right&quot;,&quot;middle left&quot;,&quot;middle center&quot;,&quot;middle right&quot;,&quot;bottom left&quot;,&quot;bottom center&quot;,&quot;bottom right&quot;],dflt:&quot;middle center&quot;,arrayOk:!0,editType:&quot;calc&quot;},textfont:o({editType:&quot;calc&quot;,colorEditType:&quot;style&quot;,arrayOk:!0}),r:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},t:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;}}},{&quot;../../components/colorbar/attributes&quot;:377,&quot;../../components/colorscale/attributes&quot;:383,&quot;../../components/drawing&quot;:397,&quot;../../components/drawing/attributes&quot;:396,&quot;../../components/fx/hovertemplate_attributes&quot;:414,&quot;../../lib/extend&quot;:488,&quot;../../plots/font_attributes&quot;:567,&quot;./constants&quot;:620}],617:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;fast-isnumeric&quot;),i=t(&quot;../../lib&quot;),a=t(&quot;../../plots/cartesian/axes&quot;),o=t(&quot;../../constants/numerical&quot;).BADNUM,s=t(&quot;./subtypes&quot;),l=t(&quot;./colorscale_calc&quot;),u=t(&quot;./arrays_to_calcdata&quot;),c=t(&quot;./calc_selection&quot;);function f(t,e,r,n,i,o,l){var u=e._length,c=t._fullLayout,f=r._id,h=n._id,d=c._firstScatter[p(e)]===e.uid,v=(g(e,c,r,n)||{}).orientation,m=e.fill;r._minDtick=0,n._minDtick=0;var y={padded:!0},b={padded:!0};l&amp;&amp;(y.ppad=b.ppad=l);var x=u&lt;2||i[0]!==i[u-1]||o[0]!==o[u-1];x&amp;&amp;(&quot;tozerox&quot;===m||&quot;tonextx&quot;===m&amp;&amp;(d||&quot;h&quot;===v))?y.tozero=!0:(e.error_y||{}).visible||&quot;tonexty&quot;!==m&amp;&amp;&quot;tozeroy&quot;!==m&amp;&amp;(s.hasMarkers(e)||s.hasText(e))||(y.padded=!1,y.ppad=0),x&amp;&amp;(&quot;tozeroy&quot;===m||&quot;tonexty&quot;===m&amp;&amp;(d||&quot;v&quot;===v))?b.tozero=!0:&quot;tonextx&quot;!==m&amp;&amp;&quot;tozerox&quot;!==m||(b.padded=!1),f&amp;&amp;(e._extremes[f]=a.findExtremes(r,i,y)),h&amp;&amp;(e._extremes[h]=a.findExtremes(n,o,b))}function h(t,e){if(s.hasMarkers(t)){var r,n=t.marker,o=1.6*(t.marker.sizeref||1);if(r=&quot;area&quot;===t.marker.sizemode?function(t){return Math.max(Math.sqrt((t||0)/o),3)}:function(t){return Math.max((t||0)/o,3)},i.isArrayOrTypedArray(n.size)){var l={type:&quot;linear&quot;};a.setConvert(l);for(var u=l.makeCalcdata(t.marker,&quot;size&quot;),c=new Array(e),f=0;f&lt;e;f++)c[f]=r(u[f]);return c}return r(n.size)}}function 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R=T[s]={},P=n(w[s]),z=n(A[s]);P&amp;&amp;z?(R[C]=w[s],R[O]=A[s]):E&amp;&amp;(r?P:z)?(R[S]=r?w[s]:A[s],R.gap=!0,m?(R.s=o,L=!0):R.s=0):R[C]=R[O]=o,k&amp;&amp;(R.id=String(k[s]))}if(u(T,e),l(t,e),c(T,e),E){for(s=0;s&lt;T.length;)T[s][S]===o?T.splice(s,1):s++;if(i.sort(T,function(t,e){return t[S]-e[S]||t.i-e.i}),L){for(s=0;s&lt;T.length-1&amp;&amp;T[s].gap;)s++;for((y=T[s].s)||(y=T[s].s=0),p=0;p&lt;s;p++)T[p].s=y;for(v=T.length-1;v&gt;s&amp;&amp;T[v].gap;)v--;for(y=T[v].s,p=T.length-1;p&gt;v;p--)T[p].s=y;for(;s&lt;v;)if(T[++s].gap){for(p=s+1;T[p].gap;)p++;for(var I=T[s-1][S],N=T[s-1].s,D=(T[p].s-N)/(T[p][S]-I);s&lt;p;)T[s].s=N+(T[s][S]-I)*D,s++}}}return T},calcMarkerSize:h,calcAxisExpansion:f,setFirstScatter:d,getStackOpts:g}},{&quot;../../constants/numerical&quot;:475,&quot;../../lib&quot;:495,&quot;../../plots/cartesian/axes&quot;:541,&quot;./arrays_to_calcdata&quot;:615,&quot;./calc_selection&quot;:618,&quot;./colorscale_calc&quot;:619,&quot;./subtypes&quot;:640,&quot;fast-isnumeric&quot;:90}],618:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;);e.exports=function(t,e){n.isArrayOrTypedArray(e.selectedpoints)&amp;&amp;n.tagSelected(t,e)}},{&quot;../../lib&quot;:495}],619:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../components/colorscale/helpers&quot;).hasColorscale,i=t(&quot;../../components/colorscale/calc&quot;),a=t(&quot;./subtypes&quot;);e.exports=function(t,e){a.hasLines(e)&amp;&amp;n(e,&quot;line&quot;)&amp;&amp;i(t,e,{vals:e.line.color,containerStr:&quot;line&quot;,cLetter:&quot;c&quot;}),a.hasMarkers(e)&amp;&amp;(n(e,&quot;marker&quot;)&amp;&amp;i(t,e,{vals:e.marker.color,containerStr:&quot;marker&quot;,cLetter:&quot;c&quot;}),n(e,&quot;marker.line&quot;)&amp;&amp;i(t,e,{vals:e.marker.line.color,containerStr:&quot;marker.line&quot;,cLetter:&quot;c&quot;}))}},{&quot;../../components/colorscale/calc&quot;:384,&quot;../../components/colorscale/helpers&quot;:387,&quot;./subtypes&quot;:640}],620:[function(t,e,r){&quot;use strict&quot;;e.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},{}],621:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./calc&quot;);function i(t,e,r,n,i,a,o){i[n]=!0;var s={i:null,gap:!0,s:0};if(s[o]=r,t.splice(e,0,s),e&amp;&amp;r===t[e-1][o]){var l=t[e-1];s.s=l.s,s.i=l.i,s.gap=l.gap}else a&amp;&amp;(s.s=function(t,e,r,n){var i=t[e-1],a=t[e+1];return a?i?i.s+(a.s-i.s)*(r-i[n])/(a[n]-i[n]):a.s:i.s}(t,e,r,o));e||(t[0].t=t[1].t,t[0].trace=t[1].trace,delete t[1].t,delete t[1].trace)}e.exports=function(t,e){var r=e.xaxis,a=e.yaxis,o=r._id+a._id,s=t._fullLayout._scatterStackOpts[o];if(s){var l,u,c,f,h,d,p,g,v,m,y,b,x,_,w,A=t.calcdata;for(var M in s){var T=(m=s[M]).traceIndices;if(T.length){for(y=&quot;interpolate&quot;===m.stackgaps,b=m.groupnorm,&quot;v&quot;===m.orientation?(x=&quot;x&quot;,_=&quot;y&quot;):(x=&quot;y&quot;,_=&quot;x&quot;),w=new Array(T.length),l=0;l&lt;w.length;l++)w[l]=!1;d=A[T[0]];var k=new 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Array(E);for(u=0;u&lt;E;u++)P[u]=h[u].x,z[u]=h[u].y;n.calcAxisExpansion(t,S,r,a,P,z,C),h[0].t.orientation=m.orientation}}}}}},{&quot;./calc&quot;:617}],622:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t){for(var e=0;e&lt;t.length;e++){var r=t[e];if(&quot;scatter&quot;===r.type){var n=r.fill;if(&quot;none&quot;!==n&amp;&amp;&quot;toself&quot;!==n&amp;&amp;(r.opacity=void 0,&quot;tonexty&quot;===n||&quot;tonextx&quot;===n))for(var i=e-1;i&gt;=0;i--){var a=t[i];if(&quot;scatter&quot;===a.type&amp;&amp;a.xaxis===r.xaxis&amp;&amp;a.yaxis===r.yaxis){a.opacity=void 0;break}}}}}},{}],623:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../registry&quot;),a=t(&quot;./attributes&quot;),o=t(&quot;./constants&quot;),s=t(&quot;./subtypes&quot;),l=t(&quot;./xy_defaults&quot;),u=t(&quot;./stack_defaults&quot;),c=t(&quot;./marker_defaults&quot;),f=t(&quot;./line_defaults&quot;),h=t(&quot;./line_shape_defaults&quot;),d=t(&quot;./text_defaults&quot;),p=t(&quot;./fillcolor_defaults&quot;);e.exports=function(t,e,r,g){function v(r,i){return n.coerce(t,e,a,r,i)}var m=l(t,e,g,v);if(m||(e.visible=!1),e.visible){var y=u(t,e,g,v),b=!y&amp;&amp;m&lt;o.PTS_LINESONLY?&quot;lines+markers&quot;:&quot;lines&quot;;v(&quot;text&quot;),v(&quot;hovertext&quot;),v(&quot;mode&quot;,b),s.hasLines(e)&amp;&amp;(f(t,e,r,g,v),h(t,e,v),v(&quot;connectgaps&quot;),v(&quot;line.simplify&quot;)),s.hasMarkers(e)&amp;&amp;c(t,e,r,g,v,{gradient:!0}),s.hasText(e)&amp;&amp;d(t,e,g,v);var x=[];(s.hasMarkers(e)||s.hasText(e))&amp;&amp;(v(&quot;cliponaxis&quot;),v(&quot;marker.maxdisplayed&quot;),x.push(&quot;points&quot;)),v(&quot;fill&quot;,y?y.fillDflt:&quot;none&quot;),&quot;none&quot;!==e.fill&amp;&amp;(p(t,e,r,v),s.hasLines(e)||h(t,e,v));var _=(e.line||{}).color,w=(e.marker||{}).color;&quot;tonext&quot;!==e.fill&amp;&amp;&quot;toself&quot;!==e.fill||x.push(&quot;fills&quot;),v(&quot;hoveron&quot;,x.join(&quot;+&quot;)||&quot;points&quot;),&quot;fills&quot;!==e.hoveron&amp;&amp;v(&quot;hovertemplate&quot;);var 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0}},{&quot;../../lib&quot;:495}],625:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../components/color&quot;),i=t(&quot;../../lib&quot;).isArrayOrTypedArray;e.exports=function(t,e,r,a){var o=!1;if(e.marker){var s=e.marker.color,l=(e.marker.line||{}).color;s&amp;&amp;!i(s)?o=s:l&amp;&amp;!i(l)&amp;&amp;(o=l)}a(&quot;fillcolor&quot;,n.addOpacity((e.line||{}).color||o||r,.5))}},{&quot;../../components/color&quot;:376,&quot;../../lib&quot;:495}],626:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../components/color&quot;),i=t(&quot;./subtypes&quot;);e.exports=function(t,e){var r,a;if(&quot;lines&quot;===t.mode)return(r=t.line.color)&amp;&amp;n.opacity(r)?r:t.fillcolor;if(&quot;none&quot;===t.mode)return t.fill?t.fillcolor:&quot;&quot;;var 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n={},i=t(&quot;./subtypes&quot;);n.hasLines=i.hasLines,n.hasMarkers=i.hasMarkers,n.hasText=i.hasText,n.isBubble=i.isBubble,n.attributes=t(&quot;./attributes&quot;),n.supplyDefaults=t(&quot;./defaults&quot;),n.crossTraceDefaults=t(&quot;./cross_trace_defaults&quot;),n.calc=t(&quot;./calc&quot;).calc,n.crossTraceCalc=t(&quot;./cross_trace_calc&quot;),n.arraysToCalcdata=t(&quot;./arrays_to_calcdata&quot;),n.plot=t(&quot;./plot&quot;),n.colorbar=t(&quot;./marker_colorbar&quot;),n.style=t(&quot;./style&quot;).style,n.styleOnSelect=t(&quot;./style&quot;).styleOnSelect,n.hoverPoints=t(&quot;./hover&quot;),n.selectPoints=t(&quot;./select&quot;),n.animatable=!0,n.moduleType=&quot;trace&quot;,n.name=&quot;scatter&quot;,n.basePlotModule=t(&quot;../../plots/cartesian&quot;),n.categories=[&quot;cartesian&quot;,&quot;svg&quot;,&quot;symbols&quot;,&quot;errorBarsOK&quot;,&quot;showLegend&quot;,&quot;scatter-like&quot;,&quot;zoomScale&quot;],n.meta={},e.exports=n},{&quot;../../plots/cartesian&quot;:552,&quot;./arrays_to_calcdata&quot;:615,&quot;./attributes&quot;:616,&quot;./calc&quot;:617,&quot;./cross_trace_calc&quot;:621,&quot;./cross_trace_defaults&quot;:622,&quot;./defaults&quot;:623,&quot;./hover&quot;:627,&quot;./marker_colorbar&quot;:634,&quot;./plot&quot;:636,&quot;./select&quot;:637,&quot;./style&quot;:639,&quot;./subtypes&quot;:640}],629:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;).isArrayOrTypedArray,i=t(&quot;../../components/colorscale/helpers&quot;).hasColorscale,a=t(&quot;../../components/colorscale/defaults&quot;);e.exports=function(t,e,r,o,s,l){var u=(t.marker||{}).color;(s(&quot;line.color&quot;,r),i(t,&quot;line&quot;))?a(t,e,o,s,{prefix:&quot;line.&quot;,cLetter:&quot;c&quot;}):s(&quot;line.color&quot;,!n(u)&amp;&amp;u||r);s(&quot;line.width&quot;),(l||{}).noDash||s(&quot;line.dash&quot;)}},{&quot;../../components/colorscale/defaults&quot;:386,&quot;../../components/colorscale/helpers&quot;:387,&quot;../../lib&quot;:495}],630:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../constants/numerical&quot;),i=n.BADNUM,a=n.LOG_CLIP,o=a+.5,s=a-.5,l=t(&quot;../../lib&quot;),u=l.segmentsIntersect,c=l.constrain,f=t(&quot;./constants&quot;);e.exports=function(t,e){var 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g=e.exports=c({x:n.x,y:n.y,z:{valType:&quot;data_array&quot;},text:u({},n.text,{}),hovertext:u({},n.hovertext,{}),hovertemplate:a(),mode:u({},n.mode,{dflt:&quot;lines+markers&quot;}),surfaceaxis:{valType:&quot;enumerated&quot;,values:[-1,0,1,2],dflt:-1},surfacecolor:{valType:&quot;color&quot;},projection:{x:{show:{valType:&quot;boolean&quot;,dflt:!1},opacity:{valType:&quot;number&quot;,min:0,max:1,dflt:1},scale:{valType:&quot;number&quot;,min:0,max:10,dflt:2/3}},y:{show:{valType:&quot;boolean&quot;,dflt:!1},opacity:{valType:&quot;number&quot;,min:0,max:1,dflt:1},scale:{valType:&quot;number&quot;,min:0,max:10,dflt:2/3}},z:{show:{valType:&quot;boolean&quot;,dflt:!1},opacity:{valType:&quot;number&quot;,min:0,max:1,dflt:1},scale:{valType:&quot;number&quot;,min:0,max:10,dflt:2/3}}},connectgaps:n.connectgaps,line:p,marker:u({symbol:{valType:&quot;enumerated&quot;,values:Object.keys(l),dflt:&quot;circle&quot;,arrayOk:!0},size:u({},h.size,{dflt:8}),sizeref:h.sizeref,sizemin:h.sizemin,sizemode:h.sizemode,opacity:u({},h.opacity,{arrayOk:!1}),colorbar:h.colorbar,line:u({width:u({},d.width,{arrayOk:!1})},i(&quot;marker.line&quot;))},i(&quot;marker&quot;)),textposition:u({},n.textposition,{dflt:&quot;top center&quot;}),textfont:{color:n.textfont.color,size:n.textfont.size,family:u({},n.textfont.family,{arrayOk:!1})},hoverinfo:u({},o.hoverinfo)},&quot;calc&quot;,&quot;nested&quot;);g.x.editType=g.y.editType=g.z.editType=&quot;calc+clearAxisTypes&quot;},{&quot;../../components/colorscale/attributes&quot;:383,&quot;../../components/fx/hovertemplate_attributes&quot;:414,&quot;../../constants/gl3d_dashes&quot;:472,&quot;../../constants/gl3d_markers&quot;:473,&quot;../../lib/extend&quot;:488,&quot;../../plot_api/edit_types&quot;:524,&quot;../../plots/attributes&quot;:538,&quot;../scatter/attributes&quot;:616}],644:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../scatter/arrays_to_calcdata&quot;),i=t(&quot;../scatter/colorscale_calc&quot;);e.exports=function(t,e){var r=[{x:!1,y:!1,trace:e,t:{}}];return n(r,e),i(t,e),r}},{&quot;../scatter/arrays_to_calcdata&quot;:615,&quot;../scatter/colorscale_calc&quot;:619}],645:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../registry&quot;);function i(t,e,r,i){if(!e||!e.visible)return null;for(var a=n.getComponentMethod(&quot;errorbars&quot;,&quot;makeComputeError&quot;)(e),o=new Array(t.length),s=0;s&lt;t.length;s++){var l=a(+t[s],s);if(&quot;log&quot;===i.type){var u=i.c2l(t[s]),c=t[s]-l[0],f=t[s]+l[1];if(o[s]=[(i.c2l(c,!0)-u)*r,(i.c2l(f,!0)-u)*r],c&gt;0){var h=i.c2l(c);i._lowerLogErrorBound||(i._lowerLogErrorBound=h),i._lowerErrorBound=Math.min(i._lowerLogErrorBound,h)}}else o[s]=[-l[0]*r,l[1]*r]}return o}e.exports=function(t,e,r){var n=[i(t.x,t.error_x,e[0],r.xaxis),i(t.y,t.error_y,e[1],r.yaxis),i(t.z,t.error_z,e[2],r.zaxis)],a=function(t){for(var e=0;e&lt;t.length;e++)if(t[e])return t[e].length;return 0}(n);if(0===a)return null;for(var o=new Array(a),s=0;s&lt;a;s++){for(var l=[[0,0,0],[0,0,0]],u=0;u&lt;3;u++)if(n[u])for(var c=0;c&lt;2;c++)l[c][u]=n[u][s][c];o[s]=l}return o}},{&quot;../../registry&quot;:592}],646:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;gl-line3d&quot;),i=t(&quot;gl-scatter3d&quot;),a=t(&quot;gl-error3d&quot;),o=t(&quot;gl-mesh3d&quot;),s=t(&quot;delaunay-triangulate&quot;),l=t(&quot;../../lib&quot;),u=t(&quot;../../lib/str2rgbarray&quot;),c=t(&quot;../../lib/gl_format_color&quot;).formatColor,f=t(&quot;../scatter/make_bubble_size_func&quot;),h=t(&quot;../../constants/gl3d_dashes&quot;),d=t(&quot;../../constants/gl3d_markers&quot;),p=t(&quot;./calc_errors&quot;);function g(t,e){this.scene=t,this.uid=e,this.linePlot=null,this.scatterPlot=null,this.errorBars=null,this.textMarkers=null,this.delaunayMesh=null,this.color=null,this.mode=&quot;&quot;,this.dataPoints=[],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.textLabels=null,this.data=null}var v=g.prototype;function m(t){return null==t?0:t.indexOf(&quot;left&quot;)&gt;-1?-1:t.indexOf(&quot;right&quot;)&gt;-1?1:0}function y(t){return null==t?0:t.indexOf(&quot;top&quot;)&gt;-1?-1:t.indexOf(&quot;bottom&quot;)&gt;-1?1:0}function b(t,e){return e(4*t)}function x(t){return d[t]}function _(t,e,r,n,i){var a=null;if(l.isArrayOrTypedArray(t)){a=[];for(var o=0;o&lt;e;o++)void 0===t[o]?a[o]=n:a[o]=r(t[o],i)}else a=r(t,l.identity);return a}function w(t,e){var r,n,i,a,o,s,h=[],d=t.fullSceneLayout,g=t.dataScale,v=d.xaxis,w=d.yaxis,A=d.zaxis,M=e.marker,T=e.line,k=e.x||[],E=e.y||[],L=e.z||[],S=k.length,C=e.xcalendar,O=e.ycalendar,R=e.zcalendar;for(o=0;o&lt;S;o++)r=v.d2l(k[o],0,C)*g[0],n=w.d2l(E[o],0,O)*g[1],i=A.d2l(L[o],0,R)*g[2],h[o]=[r,n,i];if(Array.isArray(e.text))s=e.text;else if(void 0!==e.text)for(s=new Array(S),o=0;o&lt;S;o++)s[o]=e.text;if(a={position:h,mode:e.mode,text:s},&quot;line&quot;in e&amp;&amp;(a.lineColor=c(T,1,S),a.lineWidth=T.width,a.lineDashes=T.dash),&quot;marker&quot;in e){var P=f(e);a.scatterColor=c(M,1,S),a.scatterSize=_(M.size,S,b,20,P),a.scatterMarker=_(M.symbol,S,x,&quot;\\u25cf&quot;),a.scatterLineWidth=M.line.width,a.scatterLineColor=c(M.line,1,S),a.scatterAngle=0}&quot;textposition&quot;in e&amp;&amp;(a.textOffset=function(t){var e=[0,0];if(Array.isArray(t))for(var r=0;r&lt;t.length;r++)e[r]=[0,0],t[r]&amp;&amp;(e[r][0]=m(t[r]),e[r][1]=y(t[r]));else e[0]=m(t),e[1]=y(t);return e}(e.textposition),a.textColor=c(e.textfont,1,S),a.textSize=_(e.textfont.size,S,l.identity,12),a.textFont=e.textfont.family,a.textAngle=0);var z=[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;];for(a.project=[!1,!1,!1],a.projectScale=[1,1,1],a.projectOpacity=[1,1,1],o=0;o&lt;3;++o){var I=e.projection[z[o]];(a.project[o]=I.show)&amp;&amp;(a.projectOpacity[o]=I.opacity,a.projectScale[o]=I.scale)}a.errorBounds=p(e,g,d);var N=function(t){for(var e=[0,0,0],r=[[0,0,0],[0,0,0],[0,0,0]],n=[1,1,1],i=0;i&lt;3;i++){var a=t[i];a&amp;&amp;!1!==a.copy_zstyle&amp;&amp;!1!==t[2].visible&amp;&amp;(a=t[2]),a&amp;&amp;a.visible&amp;&amp;(e[i]=a.width/2,r[i]=u(a.color),n[i]=a.thickness)}return{capSize:e,color:r,lineWidth:n}}([e.error_x,e.error_y,e.error_z]);return a.errorColor=N.color,a.errorLineWidth=N.lineWidth,a.errorCapSize=N.capSize,a.delaunayAxis=e.surfaceaxis,a.delaunayColor=u(e.surfacecolor),a}function A(t){if(Array.isArray(t)){var e=t[0];return Array.isArray(e)&amp;&amp;(t=e),&quot;rgb(&quot;+t.slice(0,3).map(function(t){return Math.round(255*t)})+&quot;)&quot;}return null}v.handlePick=function(t){if(t.object&amp;&amp;(t.object===this.linePlot||t.object===this.delaunayMesh||t.object===this.textMarkers||t.object===this.scatterPlot)){var e=t.index=t.data.index;return t.object.highlight&amp;&amp;t.object.highlight(null),this.scatterPlot&amp;&amp;(t.object=this.scatterPlot,this.scatterPlot.highlight(t.data)),t.textLabel=&quot;&quot;,this.textLabels&amp;&amp;(Array.isArray(this.textLabels)?(this.textLabels[e]||0===this.textLabels[e])&amp;&amp;(t.textLabel=this.textLabels[e]):t.textLabel=this.textLabels),t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]],!0}},v.update=function(t){var e,r,l,u,c=this.scene.glplot.gl,f=h.solid;this.data=t;var d=w(this.scene,t);&quot;mode&quot;in d&amp;&amp;(this.mode=d.mode),&quot;lineDashes&quot;in d&amp;&amp;d.lineDashes in h&amp;&amp;(f=h[d.lineDashes]),this.color=A(d.scatterColor)||A(d.lineColor),this.dataPoints=d.position,e={gl:this.scene.glplot.gl,position:d.position,color:d.lineColor,lineWidth:d.lineWidth||1,dashes:f[0],dashScale:f[1],opacity:t.opacity,connectGaps:t.connectgaps},-1!==this.mode.indexOf(&quot;lines&quot;)?this.linePlot?this.linePlot.update(e):(this.linePlot=n(e),this.linePlot._trace=this,this.scene.glplot.add(this.linePlot)):this.linePlot&amp;&amp;(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose(),this.linePlot=null);var p=t.opacity;if(t.marker&amp;&amp;t.marker.opacity&amp;&amp;(p*=t.marker.opacity),r={gl:this.scene.glplot.gl,position:d.position,color:d.scatterColor,size:d.scatterSize,glyph:d.scatterMarker,opacity:p,orthographic:!0,lineWidth:d.scatterLineWidth,lineColor:d.scatterLineColor,project:d.project,projectScale:d.projectScale,projectOpacity:d.projectOpacity},-1!==this.mode.indexOf(&quot;markers&quot;)?this.scatterPlot?this.scatterPlot.update(r):(this.scatterPlot=i(r),this.scatterPlot._trace=this,this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&amp;&amp;(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),u={gl:this.scene.glplot.gl,position:d.position,glyph:d.text,color:d.textColor,size:d.textSize,angle:d.textAngle,alignment:d.textOffset,font:d.textFont,orthographic:!0,lineWidth:0,project:!1,opacity:t.opacity},this.textLabels=t.hovertext||t.text,-1!==this.mode.indexOf(&quot;text&quot;)?this.textMarkers?this.textMarkers.update(u):(this.textMarkers=i(u),this.textMarkers._trace=this,this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&amp;&amp;(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),l={gl:this.scene.glplot.gl,position:d.position,color:d.errorColor,error:d.errorBounds,lineWidth:d.errorLineWidth,capSize:d.errorCapSize,opacity:t.opacity},this.errorBars?d.errorBounds?this.errorBars.update(l):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):d.errorBounds&amp;&amp;(this.errorBars=a(l),this.errorBars._trace=this,this.scene.glplot.add(this.errorBars)),d.delaunayAxis&gt;=0){var g=function(t,e,r){var n,i=(r+1)%3,a=(r+2)%3,o=[],l=[];for(n=0;n&lt;t.length;++n){var u=t[n];!isNaN(u[i])&amp;&amp;isFinite(u[i])&amp;&amp;!isNaN(u[a])&amp;&amp;isFinite(u[a])&amp;&amp;(o.push([u[i],u[a]]),l.push(n))}var c=s(o);for(n=0;n&lt;c.length;++n)for(var f=c[n],h=0;h&lt;f.length;++h)f[h]=l[f[h]];return{positions:t,cells:c,meshColor:e}}(d.position,d.delaunayColor,d.delaunayAxis);g.opacity=t.opacity,this.delaunayMesh?this.delaunayMesh.update(g):(g.gl=c,this.delaunayMesh=o(g),this.delaunayMesh._trace=this,this.scene.glplot.add(this.delaunayMesh))}else this.delaunayMesh&amp;&amp;(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose(),this.delaunayMesh=null)},v.dispose=function(){this.linePlot&amp;&amp;(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose()),this.scatterPlot&amp;&amp;(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose()),this.errorBars&amp;&amp;(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose()),this.textMarkers&amp;&amp;(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose()),this.delaunayMesh&amp;&amp;(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose())},e.exports=function(t,e){var r=new g(t,e.uid);return r.update(e),r}},{&quot;../../constants/gl3d_dashes&quot;:472,&quot;../../constants/gl3d_markers&quot;:473,&quot;../../lib&quot;:495,&quot;../../lib/gl_format_color&quot;:493,&quot;../../lib/str2rgbarray&quot;:517,&quot;../scatter/make_bubble_size_func&quot;:633,&quot;./calc_errors&quot;:645,&quot;delaunay-triangulate&quot;:83,&quot;gl-error3d&quot;:109,&quot;gl-line3d&quot;:114,&quot;gl-mesh3d&quot;:139,&quot;gl-scatter3d&quot;:147}],647:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../registry&quot;),i=t(&quot;../../lib&quot;),a=t(&quot;../scatter/subtypes&quot;),o=t(&quot;../scatter/marker_defaults&quot;),s=t(&quot;../scatter/line_defaults&quot;),l=t(&quot;../scatter/text_defaults&quot;),u=t(&quot;./attributes&quot;);e.exports=function(t,e,r,c){function f(r,n){return i.coerce(t,e,u,r,n)}if(function(t,e,r,i){var a=0,o=r(&quot;x&quot;),s=r(&quot;y&quot;),l=r(&quot;z&quot;);n.getComponentMethod(&quot;calendars&quot;,&quot;handleTraceDefaults&quot;)(t,e,[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;],i),o&amp;&amp;s&amp;&amp;l&amp;&amp;(a=Math.min(o.length,s.length,l.length),e._length=e._xlength=e._ylength=e._zlength=a);return a}(t,e,f,c)){f(&quot;text&quot;),f(&quot;hovertext&quot;),f(&quot;hovertemplate&quot;),f(&quot;mode&quot;),a.hasLines(e)&amp;&amp;(f(&quot;connectgaps&quot;),s(t,e,r,c,f)),a.hasMarkers(e)&amp;&amp;o(t,e,r,c,f,{noSelect:!0}),a.hasText(e)&amp;&amp;l(t,e,c,f,{noSelect:!0});var h=(e.line||{}).color,d=(e.marker||{}).color;f(&quot;surfaceaxis&quot;)&gt;=0&amp;&amp;f(&quot;surfacecolor&quot;,h||d);for(var p=[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;],g=0;g&lt;3;++g){var v=&quot;projection.&quot;+p[g];f(v+&quot;.show&quot;)&amp;&amp;(f(v+&quot;.opacity&quot;),f(v+&quot;.scale&quot;))}var m=n.getComponentMethod(&quot;errorbars&quot;,&quot;supplyDefaults&quot;);m(t,e,h||d||r,{axis:&quot;z&quot;}),m(t,e,h||d||r,{axis:&quot;y&quot;,inherit:&quot;z&quot;}),m(t,e,h||d||r,{axis:&quot;x&quot;,inherit:&quot;z&quot;})}else e.visible=!1}},{&quot;../../lib&quot;:495,&quot;../../registry&quot;:592,&quot;../scatter/line_defaults&quot;:629,&quot;../scatter/marker_defaults&quot;:635,&quot;../scatter/subtypes&quot;:640,&quot;../scatter/text_defaults&quot;:641,&quot;./attributes&quot;:643}],648:[function(t,e,r){&quot;use strict&quot;;var n={};n.plot=t(&quot;./convert&quot;),n.attributes=t(&quot;./attributes&quot;),n.markerSymbols=t(&quot;../../constants/gl3d_markers&quot;),n.supplyDefaults=t(&quot;./defaults&quot;),n.colorbar=[{container:&quot;marker&quot;,min:&quot;cmin&quot;,max:&quot;cmax&quot;},{container:&quot;line&quot;,min:&quot;cmin&quot;,max:&quot;cmax&quot;}],n.calc=t(&quot;./calc&quot;),n.moduleType=&quot;trace&quot;,n.name=&quot;scatter3d&quot;,n.basePlotModule=t(&quot;../../plots/gl3d&quot;),n.categories=[&quot;gl3d&quot;,&quot;symbols&quot;,&quot;showLegend&quot;],n.meta={},e.exports=n},{&quot;../../constants/gl3d_markers&quot;:473,&quot;../../plots/gl3d&quot;:570,&quot;./attributes&quot;:643,&quot;./calc&quot;:644,&quot;./convert&quot;:646,&quot;./defaults&quot;:647}],649:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../components/colorscale/attributes&quot;),i=t(&quot;../../components/colorbar/attributes&quot;),a=t(&quot;../../components/fx/hovertemplate_attributes&quot;),o=t(&quot;../mesh3d/attributes&quot;),s=t(&quot;../../plots/attributes&quot;),l=t(&quot;../../lib/extend&quot;).extendFlat,u={x:{valType:&quot;data_array&quot;,editType:&quot;calc+clearAxisTypes&quot;},y:{valType:&quot;data_array&quot;,editType:&quot;calc+clearAxisTypes&quot;},z:{valType:&quot;data_array&quot;,editType:&quot;calc+clearAxisTypes&quot;},u:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},v:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},w:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},starts:{x:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},y:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},z:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},editType:&quot;calc&quot;},maxdisplayed:{valType:&quot;integer&quot;,min:0,dflt:1e3,editType:&quot;calc&quot;},sizeref:{valType:&quot;number&quot;,editType:&quot;calc&quot;,min:0,dflt:1},text:{valType:&quot;string&quot;,dflt:&quot;&quot;,editType:&quot;calc&quot;},hovertext:{valType:&quot;string&quot;,dflt:&quot;&quot;,editType:&quot;calc&quot;},hovertemplate:a({editType:&quot;calc&quot;},{keys:[&quot;tubex&quot;,&quot;tubey&quot;,&quot;tubez&quot;,&quot;tubeu&quot;,&quot;tubev&quot;,&quot;tubew&quot;,&quot;norm&quot;,&quot;divergence&quot;]})};l(u,n(&quot;&quot;,{colorAttr:&quot;u/v/w norm&quot;,showScaleDflt:!0,editTypeOverride:&quot;calc&quot;}),{colorbar:i});[&quot;opacity&quot;,&quot;lightposition&quot;,&quot;lighting&quot;].forEach(function(t){u[t]=o[t]}),u.hoverinfo=l({},s.hoverinfo,{editType:&quot;calc&quot;,flags:[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;,&quot;u&quot;,&quot;v&quot;,&quot;w&quot;,&quot;norm&quot;,&quot;divergence&quot;,&quot;text&quot;,&quot;name&quot;],dflt:&quot;x+y+z+norm+text+name&quot;}),u.transforms=void 0,e.exports=u},{&quot;../../components/colorbar/attributes&quot;:377,&quot;../../components/colorscale/attributes&quot;:383,&quot;../../components/fx/hovertemplate_attributes&quot;:414,&quot;../../lib/extend&quot;:488,&quot;../../plots/attributes&quot;:538,&quot;../mesh3d/attributes&quot;:608}],650:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../components/colorscale/calc&quot;);e.exports=function(t,e){var r,i,a,o,s=e.u,l=e.v,u=e.w,c=e.x,f=e.y,h=e.z,d=Math.min(c.length,f.length,h.length,s.length,l.length,u.length),p=0;e.starts&amp;&amp;(i=e.starts.x||[],a=e.starts.y||[],o=e.starts.z||[],p=Math.min(i.length,a.length,o.length));var g=0,v=1/0;for(r=0;r&lt;d;r++){var m=s[r],y=l[r],b=u[r],x=Math.sqrt(m*m+y*y+b*b);g=Math.max(g,x),v=Math.min(v,x)}n(t,e,{vals:[v,g],containerStr:&quot;&quot;,cLetter:&quot;c&quot;});var _=-1/0,w=1/0,A=-1/0,M=1/0,T=-1/0,k=1/0;for(r=0;r&lt;d;r++){var E=c[r];_=Math.max(_,E),w=Math.min(w,E);var L=f[r];A=Math.max(A,L),M=Math.min(M,L);var S=h[r];T=Math.max(T,S),k=Math.min(k,S)}for(r=0;r&lt;p;r++){var C=i[r];_=Math.max(_,C),w=Math.min(w,C);var O=a[r];A=Math.max(A,O),M=Math.min(M,O);var R=o[r];T=Math.max(T,R),k=Math.min(k,R)}e._len=d,e._slen=p,e._normMax=g,e._xbnds=[w,_],e._ybnds=[M,A],e._zbnds=[k,T]}},{&quot;../../components/colorscale/calc&quot;:384}],651:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;gl-streamtube3d&quot;),i=n.createTubeMesh,a=t(&quot;../../lib&quot;),o=t(&quot;../../lib/gl_format_color&quot;).parseColorScale,s=t(&quot;../../plots/gl3d/zip3&quot;),l={xaxis:0,yaxis:1,zaxis:2};function u(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var c=u.prototype;function f(t){return a.distinctVals(t).vals}function h(t){var e=t.length;return e&gt;2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function d(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function p(t,e){var r=t.fullSceneLayout,i=t.dataScale,u=e._len,c={};function p(t,e){var n=r[e],o=i[l[e]];return a.simpleMap(t,function(t){return n.d2l(t)*o})}c.vectors=s(p(e.u,&quot;xaxis&quot;),p(e.v,&quot;yaxis&quot;),p(e.w,&quot;zaxis&quot;),u);var g=f(e.x.slice(0,u)),v=f(e.y.slice(0,u)),m=f(e.z.slice(0,u));if(g.length*v.length*m.length&gt;u)return{positions:[],cells:[]};var y=p(g,&quot;xaxis&quot;),b=p(v,&quot;yaxis&quot;),x=p(m,&quot;zaxis&quot;);if(c.meshgrid=[y,b,x],e.starts){var _=e._slen;c.startingPositions=s(p(e.starts.x.slice(0,_),&quot;xaxis&quot;),p(e.starts.y.slice(0,_),&quot;yaxis&quot;),p(e.starts.z.slice(0,_),&quot;zaxis&quot;))}else{for(var w=b[0],A=h(y),M=h(x),T=new Array(A.length*M.length),k=0,E=0;E&lt;A.length;E++)for(var L=0;L&lt;M.length;L++)T[k++]=[A[E],w,M[L]];c.startingPositions=T}c.colormap=o(e),c.tubeSize=e.sizeref,c.maxLength=e.maxdisplayed;var S=p(e._xbnds,&quot;xaxis&quot;),C=p(e._ybnds,&quot;yaxis&quot;),O=p(e._zbnds,&quot;zaxis&quot;),R=d(y),P=d(b),z=d(x),I=[[S[0]-R[0],C[0]-P[0],O[0]-z[0]],[S[1]+R[1],C[1]+P[1],O[1]+z[1]]],N=n(c,I);N.vertexIntensityBounds=[e.cmin/e._normMax,e.cmax/e._normMax];var D=e.lightposition;return N.lightPosition=[D.x,D.y,D.z],N.ambient=e.lighting.ambient,N.diffuse=e.lighting.diffuse,N.specular=e.lighting.specular,N.roughness=e.lighting.roughness,N.fresnel=e.lighting.fresnel,N.opacity=e.opacity,e._pad=N.tubeScale*e.sizeref*2,N}c.handlePick=function(t){var e=this.scene.fullSceneLayout,r=this.scene.dataScale;function n(t,n){var i=e[n],a=r[l[n]];return i.l2c(t)/a}if(t.object===this.mesh){var i=t.data.position,a=t.data.velocity;return t.traceCoordinate=[n(i[0],&quot;xaxis&quot;),n(i[1],&quot;yaxis&quot;),n(i[2],&quot;zaxis&quot;),n(a[0],&quot;xaxis&quot;),n(a[1],&quot;yaxis&quot;),n(a[2],&quot;zaxis&quot;),t.data.intensity*this.data._normMax,t.data.divergence],t.textLabel=this.data.hovertext||this.data.text,!0}},c.update=function(t){this.data=t;var e=p(this.scene,t);this.mesh.update(e)},c.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,n=p(t,e),a=i(r,n),o=new u(t,e.uid);return o.mesh=a,o.data=e,a._trace=o,t.glplot.add(a),o}},{&quot;../../lib&quot;:495,&quot;../../lib/gl_format_color&quot;:493,&quot;../../plots/gl3d/zip3&quot;:581,&quot;gl-streamtube3d&quot;:160}],652:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../components/colorscale/defaults&quot;),a=t(&quot;./attributes&quot;);e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s(&quot;u&quot;),u=s(&quot;v&quot;),c=s(&quot;w&quot;),f=s(&quot;x&quot;),h=s(&quot;y&quot;),d=s(&quot;z&quot;);l&amp;&amp;l.length&amp;&amp;u&amp;&amp;u.length&amp;&amp;c&amp;&amp;c.length&amp;&amp;f&amp;&amp;f.length&amp;&amp;h&amp;&amp;h.length&amp;&amp;d&amp;&amp;d.length?(s(&quot;starts.x&quot;),s(&quot;starts.y&quot;),s(&quot;starts.z&quot;),s(&quot;maxdisplayed&quot;),s(&quot;sizeref&quot;),s(&quot;lighting.ambient&quot;),s(&quot;lighting.diffuse&quot;),s(&quot;lighting.specular&quot;),s(&quot;lighting.roughness&quot;),s(&quot;lighting.fresnel&quot;),s(&quot;lightposition.x&quot;),s(&quot;lightposition.y&quot;),s(&quot;lightposition.z&quot;),i(t,e,o,s,{prefix:&quot;&quot;,cLetter:&quot;c&quot;}),s(&quot;text&quot;),s(&quot;hovertext&quot;),s(&quot;hovertemplate&quot;),e._length=null):e.visible=!1}},{&quot;../../components/colorscale/defaults&quot;:386,&quot;../../lib&quot;:495,&quot;./attributes&quot;:649}],653:[function(t,e,r){&quot;use strict&quot;;e.exports={moduleType:&quot;trace&quot;,name:&quot;streamtube&quot;,basePlotModule:t(&quot;../../plots/gl3d&quot;),categories:[&quot;gl3d&quot;],attributes:t(&quot;./attributes&quot;),supplyDefaults:t(&quot;./defaults&quot;),colorbar:{min:&quot;cmin&quot;,max:&quot;cmax&quot;},calc:t(&quot;./calc&quot;),plot:t(&quot;./convert&quot;),eventData:function(t,e){return t.tubex=t.x,t.tubey=t.y,t.tubez=t.z,t.tubeu=e.traceCoordinate[3],t.tubev=e.traceCoordinate[4],t.tubew=e.traceCoordinate[5],t.norm=e.traceCoordinate[6],t.divergence=e.traceCoordinate[7],delete t.x,delete t.y,delete t.z,t},meta:{}}},{&quot;../../plots/gl3d&quot;:570,&quot;./attributes&quot;:649,&quot;./calc&quot;:650,&quot;./convert&quot;:651,&quot;./defaults&quot;:652}],654:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../components/color&quot;),i=t(&quot;../../components/colorscale/attributes&quot;),a=t(&quot;../../components/colorbar/attributes&quot;),o=t(&quot;../../components/fx/hovertemplate_attributes&quot;),s=t(&quot;../../plots/attributes&quot;),l=t(&quot;../../lib/extend&quot;).extendFlat,u=t(&quot;../../plot_api/edit_types&quot;).overrideAll;function c(t){return{show:{valType:&quot;boolean&quot;,dflt:!1},project:{x:{valType:&quot;boolean&quot;,dflt:!1},y:{valType:&quot;boolean&quot;,dflt:!1},z:{valType:&quot;boolean&quot;,dflt:!1}},color:{valType:&quot;color&quot;,dflt:n.defaultLine},usecolormap:{valType:&quot;boolean&quot;,dflt:!1},width:{valType:&quot;number&quot;,min:1,max:16,dflt:2},highlight:{valType:&quot;boolean&quot;,dflt:!0},highlightcolor:{valType:&quot;color&quot;,dflt:n.defaultLine},highlightwidth:{valType:&quot;number&quot;,min:1,max:16,dflt:2}}}var f=e.exports=u(l({z:{valType:&quot;data_array&quot;},x:{valType:&quot;data_array&quot;},y:{valType:&quot;data_array&quot;},text:{valType:&quot;string&quot;,dflt:&quot;&quot;,arrayOk:!0},hovertext:{valType:&quot;string&quot;,dflt:&quot;&quot;,arrayOk:!0},hovertemplate:o(),connectgaps:{valType:&quot;boolean&quot;,dflt:!1,editType:&quot;calc&quot;},surfacecolor:{valType:&quot;data_array&quot;}},i(&quot;&quot;,{colorAttr:&quot;z or surfacecolor&quot;,showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:&quot;calc&quot;}),{colorbar:a,contours:{x:c(),y:c(),z:c()},hidesurface:{valType:&quot;boolean&quot;,dflt:!1},lightposition:{x:{valType:&quot;number&quot;,min:-1e5,max:1e5,dflt:10},y:{valType:&quot;number&quot;,min:-1e5,max:1e5,dflt:1e4},z:{valType:&quot;number&quot;,min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:&quot;number&quot;,min:0,max:1,dflt:.8},diffuse:{valType:&quot;number&quot;,min:0,max:1,dflt:.8},specular:{valType:&quot;number&quot;,min:0,max:2,dflt:.05},roughness:{valType:&quot;number&quot;,min:0,max:1,dflt:.5},fresnel:{valType:&quot;number&quot;,min:0,max:5,dflt:.2}},opacity:{valType:&quot;number&quot;,min:0,max:1,dflt:1},_deprecated:{zauto:l({},i.zauto,{}),zmin:l({},i.zmin,{}),zmax:l({},i.zmax,{})},hoverinfo:l({},s.hoverinfo)}),&quot;calc&quot;,&quot;nested&quot;);f.x.editType=f.y.editType=f.z.editType=&quot;calc+clearAxisTypes&quot;,f.transforms=void 0},{&quot;../../components/color&quot;:376,&quot;../../components/colorbar/attributes&quot;:377,&quot;../../components/colorscale/attributes&quot;:383,&quot;../../components/fx/hovertemplate_attributes&quot;:414,&quot;../../lib/extend&quot;:488,&quot;../../plot_api/edit_types&quot;:524,&quot;../../plots/attributes&quot;:538}],655:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../components/colorscale/calc&quot;);e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:&quot;&quot;,cLetter:&quot;c&quot;}):n(t,e,{vals:e.z,containerStr:&quot;&quot;,cLetter:&quot;c&quot;})}},{&quot;../../components/colorscale/calc&quot;:384}],656:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;gl-surface3d&quot;),i=t(&quot;ndarray&quot;),a=t(&quot;ndarray-homography&quot;),o=t(&quot;ndarray-fill&quot;),s=t(&quot;../../lib&quot;).isArrayOrTypedArray,l=t(&quot;../../lib/gl_format_color&quot;).parseColorScale,u=t(&quot;../../lib/str2rgbarray&quot;),c=t(&quot;../heatmap/interp2d&quot;),f=t(&quot;../heatmap/find_empties&quot;);function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this._interpolatedZ=!1}var d=h.prototype;d.getXat=function(t,e,r,n){var i=s(this.data.x)?s(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},d.getYat=function(t,e,r,n){var i=s(this.data.y)?s(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},d.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&amp;&amp;this.data.connectgaps&amp;&amp;this.data._interpolatedZ&amp;&amp;(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},d.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a&lt;3;a++){var o=t.dataCoordinate[a];null!=o&amp;&amp;(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&amp;&amp;s[i]&amp;&amp;void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||&quot;&quot;,t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var 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g(t,e){if(t&lt;e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function v(t){for(var e=[],r=0;r&lt;p.length;r++){var n=p[r];e.push(g(t,n))}return e}function m(t){for(var e=v(t),r=t,n=0;n&lt;p.length;n++)if(e[n]&gt;0){r=p[n];break}return r}function y(t,e){if(!(t&lt;1||e&lt;1)){for(var r=v(t),n=v(e),i=1,a=0;a&lt;p.length;a++)i*=Math.pow(p[a],Math.max(r[a],n[a]));return i}}d.calcXnums=function(t){var e,r=[];for(e=1;e&lt;t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&amp;&amp;null!=n&amp;&amp;null!=i?Math.abs(i-n):0}var a=0;for(e=1;e&lt;t;e++)a+=r[e-1];for(e=1;e&lt;t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},d.calcYnums=function(t){var e,r=[];for(e=1;e&lt;t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&amp;&amp;null!=n&amp;&amp;null!=i?Math.abs(i-n):0}var a=0;for(e=1;e&lt;t;e++)a+=r[e-1];for(e=1;e&lt;t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var b=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],x=b[9],_=b[13];d.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r&lt;t.length;r++)e=y(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r&lt;x;)r*=2;for(;r&gt;_;)r--,r/=m(r),++r&lt;x&amp;&amp;(r=_);var n=Math.round(r/t);return n&gt;1?n:1},d.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],o=t[0].shape[1],s=0|Math.floor(t[0].shape[0]*e+1),l=0|Math.floor(t[0].shape[1]*r+1),u=1+n+1,c=1+o+1,f=i(new Float32Array(u*c),[u,c]),h=0;h&lt;t.length;++h){this.surface.padField(f,t[h]);var d=i(new Float32Array(s*l),[s,l]);a(d,f,[e,0,0,0,r,0,0,0,1]),t[h]=d}},d.setContourLevels=function(){for(var t=[[],[],[]],e=!1,r=0;r&lt;3;++r)this.showContour[r]&amp;&amp;(e=!0,t[r]=this.scene.contourLevels[r]);e&amp;&amp;this.surface.update({levels:t})},d.update=function(t){var e,r,n,a,s=this.scene,h=s.fullSceneLayout,d=this.surface,p=t.opacity,g=l(t,p),v=s.dataScale,m=t.z[0].length,y=t._ylength,b=s.contourLevels;this.data=t;var x=[];for(e=0;e&lt;3;e++)for(x[e]=[],r=0;r&lt;m;r++)x[e][r]=[];for(r=0;r&lt;m;r++)for(n=0;n&lt;y;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=f(x[2]),c(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r&lt;m;r++)for(t._interpolatedZ[r]=[],n=0;n&lt;y;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e&lt;3;e++)for(r=0;r&lt;m;r++)for(n=0;n&lt;y;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=v[e];for(e=0;e&lt;3;e++)for(r=0;r&lt;m;r++)for(n=0;n&lt;y;n++)null!=(a=x[e][r][n])&amp;&amp;(this.minValues[e]&gt;a&amp;&amp;(this.minValues[e]=a),this.maxValues[e]&lt;a&amp;&amp;(this.maxValues[e]=a));for(e=0;e&lt;3;e++)t._objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e&lt;3;e++)for(r=0;r&lt;m;r++)for(n=0;n&lt;y;n++)null!=(a=x[e][r][n])&amp;&amp;(x[e][r][n]-=t._objectOffset[e]);var w=[i(new Float32Array(m*y),[m,y]),i(new Float32Array(m*y),[m,y]),i(new Float32Array(m*y),[m,y])];o(w[0],function(t,e){return x[0][t][e]}),o(w[1],function(t,e){return x[1][t][e]}),o(w[2],function(t,e){return x[2][t][e]}),x=[];var A={colormap:g,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacity:t.opacity};if(A.intensityBounds=[t.cmin,t.cmax],t.surfacecolor){var M=i(new Float32Array(m*y),[m,y]);o(M,function(e,r){return t.surfacecolor[r][e]}),w.push(M)}else A.intensityBounds[0]*=v[2],A.intensityBounds[1]*=v[2];(_&lt;w[0].shape[0]||_&lt;w[0].shape[1])&amp;&amp;(this.refineData=!1),!0===this.refineData&amp;&amp;(this.dataScaleX=this.estimateScale(w[0].shape[0],0),this.dataScaleY=this.estimateScale(w[0].shape[1],1),1===this.dataScaleX&amp;&amp;1===this.dataScaleY||this.refineCoords(w)),t.surfacecolor&amp;&amp;(A.intensity=w.pop());var T=[!0,!0,!0],k=[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;];for(e=0;e&lt;3;++e){var E=t.contours[k[e]];T[e]=E.highlight,A.showContour[e]=E.show||E.highlight,A.showContour[e]&amp;&amp;(A.contourProject[e]=[E.project.x,E.project.y,E.project.z],E.show?(this.showContour[e]=!0,A.levels[e]=b[e],d.highlightColor[e]=A.contourColor[e]=u(E.color),E.usecolormap?d.highlightTint[e]=A.contourTint[e]=0:d.highlightTint[e]=A.contourTint[e]=1,A.contourWidth[e]=E.width):this.showContour[e]=!1,E.highlight&amp;&amp;(A.dynamicColor[e]=u(E.highlightcolor),A.dynamicWidth[e]=E.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&amp;&amp;e[1]===r[1]&amp;&amp;e[2]===r[2]&amp;&amp;e[3]===r[3]})(g)&amp;&amp;(A.vertexColor=!0),A.objectOffset=[t._objectOffset[0],t._objectOffset[1],t._objectOffset[2]],A.coords=w,d.update(A),d.visible=t.visible,d.enableDynamic=T,d.enableHighlight=T,d.snapToData=!0,&quot;lighting&quot;in t&amp;&amp;(d.ambientLight=t.lighting.ambient,d.diffuseLight=t.lighting.diffuse,d.specularLight=t.lighting.specular,d.roughness=t.lighting.roughness,d.fresnel=t.lighting.fresnel),&quot;lightposition&quot;in t&amp;&amp;(d.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z]),p&amp;&amp;p&lt;1&amp;&amp;(d.supportsTransparency=!0)},d.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{&quot;../../lib&quot;:495,&quot;../../lib/gl_format_color&quot;:493,&quot;../../lib/str2rgbarray&quot;:517,&quot;../heatmap/find_empties&quot;:606,&quot;../heatmap/interp2d&quot;:607,&quot;gl-surface3d&quot;:163,ndarray:286,&quot;ndarray-fill&quot;:276,&quot;ndarray-homography&quot;:278}],657:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../registry&quot;),i=t(&quot;../../lib&quot;),a=t(&quot;../../components/colorscale/defaults&quot;),o=t(&quot;./attributes&quot;);function s(t,e,r){e in t&amp;&amp;!(r in t)&amp;&amp;(t[r]=t[e])}e.exports=function(t,e,r,l){var u,c;function f(r,n){return i.coerce(t,e,o,r,n)}var 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m=&quot;contours.&quot;+v[u],y=f(m+&quot;.show&quot;),b=f(m+&quot;.highlight&quot;);if(y||b)for(c=0;c&lt;3;++c)f(m+&quot;.project.&quot;+v[c]);y&amp;&amp;(f(m+&quot;.color&quot;),f(m+&quot;.width&quot;),f(m+&quot;.usecolormap&quot;)),b&amp;&amp;(f(m+&quot;.highlightcolor&quot;),f(m+&quot;.highlightwidth&quot;))}g||(s(t,&quot;zmin&quot;,&quot;cmin&quot;),s(t,&quot;zmax&quot;,&quot;cmax&quot;),s(t,&quot;zauto&quot;,&quot;cauto&quot;)),a(t,e,l,f,{prefix:&quot;&quot;,cLetter:&quot;c&quot;}),e._length=null}}},{&quot;../../components/colorscale/defaults&quot;:386,&quot;../../lib&quot;:495,&quot;../../registry&quot;:592,&quot;./attributes&quot;:654}],658:[function(t,e,r){&quot;use strict&quot;;var n={};n.attributes=t(&quot;./attributes&quot;),n.supplyDefaults=t(&quot;./defaults&quot;),n.colorbar={min:&quot;cmin&quot;,max:&quot;cmax&quot;},n.calc=t(&quot;./calc&quot;),n.plot=t(&quot;./convert&quot;),n.moduleType=&quot;trace&quot;,n.name=&quot;surface&quot;,n.basePlotModule=t(&quot;../../plots/gl3d&quot;),n.categories=[&quot;gl3d&quot;,&quot;2dMap&quot;,&quot;noOpacity&quot;],n.meta={},e.exports=n},{&quot;../../plots/gl3d&quot;:570,&quot;./attributes&quot;:654,&quot;./calc&quot;:655,&quot;./convert&quot;:656,&quot;./defaults&quot;:657}]},{},[5])(5)});&lt;/script&gt;\n",
       "        &lt;script&gt;\n",
       "        function decodeBase64(encoded, dtype) {\n",
       "\n",
       "    let getter = {\n",
       "        &quot;float32&quot;: &quot;getFloat32&quot;,\n",
       "        &quot;int32&quot;: &quot;getInt32&quot;\n",
       "    }[dtype];\n",
       "\n",
       "    let arrayType = {\n",
       "        &quot;float32&quot;: Float32Array,\n",
       "        &quot;int32&quot;: Int32Array\n",
       "    }[dtype];\n",
       "\n",
       "    let raw = atob(encoded);\n",
       "    let buffer = new ArrayBuffer(raw.length);\n",
       "    let asIntArray = new Uint8Array(buffer);\n",
       "    for (let i = 0; i !== raw.length; i++) {\n",
       "        asIntArray[i] = raw.charCodeAt(i);\n",
       "    }\n",
       "\n",
       "    let view = new DataView(buffer);\n",
       "    let decoded = new arrayType(\n",
       "        raw.length / arrayType.BYTES_PER_ELEMENT);\n",
       "    for (let i = 0, off = 0; i !== decoded.length;\n",
       "        i++, off += arrayType.BYTES_PER_ELEMENT) {\n",
       "        decoded[i] = view[getter](off, true);\n",
       "    }\n",
       "    return decoded;\n",
       "}\n",
       "\n",
       "function getAxisConfig() {\n",
       "    let axisConfig = {\n",
       "        showgrid: false,\n",
       "        showline: false,\n",
       "        ticks: &#x27;&#x27;,\n",
       "        title: &#x27;&#x27;,\n",
       "        showticklabels: false,\n",
       "            zeroline: false,\n",
       "        showspikes: false,\n",
       "        spikesides: false\n",
       "    };\n",
       "\n",
       "    return axisConfig;\n",
       "}\n",
       "\n",
       "function getLighting() {\n",
       "    return {};\n",
       "    // i.e. use plotly defaults:\n",
       "    // {\n",
       "    //     &quot;ambient&quot;: 0.8,\n",
       "    //     &quot;diffuse&quot;: .8,\n",
       "    //     &quot;fresnel&quot;: .2,\n",
       "    //     &quot;specular&quot;: .05,\n",
       "    //     &quot;roughness&quot;: .5,\n",
       "    //     &quot;facenormalsepsilon&quot;: 1e-6,\n",
       "    //     &quot;vertexnormalsepsilon&quot;: 1e-12\n",
       "    // };\n",
       "\n",
       "}\n",
       "\n",
       "function getConfig() {\n",
       "    let config = {\n",
       "        modeBarButtonsToRemove: [&quot;hoverClosest3d&quot;],\n",
       "        displayLogo: false\n",
       "    };\n",
       "\n",
       "    return config;\n",
       "}\n",
       "\n",
       "function getCamera(plotDivId, viewSelectId) {\n",
       "    let view = $(&quot;#&quot; + viewSelectId).val();\n",
       "    if (view === &quot;custom&quot;) {\n",
       "        try {\n",
       "            return $(&quot;#&quot; + plotDivId)[0].layout.scene.camera;\n",
       "        } catch (e) {\n",
       "            return {};\n",
       "        }\n",
       "    }\n",
       "    let cameras = {\n",
       "        &quot;left&quot;: {eye: {x: -1.7, y: 0, z: 0},\n",
       "                    up: {x: 0, y: 0, z: 1},\n",
       "                    center: {x: 0, y: 0, z: 0}},\n",
       "        &quot;right&quot;: {eye: {x: 1.7, y: 0, z: 0},\n",
       "                    up: {x: 0, y: 0, z: 1},\n",
       "                    center: {x: 0, y: 0, z: 0}},\n",
       "        &quot;top&quot;: {eye: {x: 0, y: 0, z: 1.7},\n",
       "                up: {x: 0, y: 1, z: 0},\n",
       "                center: {x: 0, y: 0, z: 0}},\n",
       "        &quot;bottom&quot;: {eye: {x: 0, y: 0, z: -1.7},\n",
       "                    up: {x: 0, y: 1, z: 0},\n",
       "                    center: {x: 0, y: 0, z: 0}},\n",
       "        &quot;front&quot;: {eye: {x: 0, y: 1.7, z: 0},\n",
       "                    up: {x: 0, y: 0, z: 1},\n",
       "                    center: {x: 0, y: 0, z: 0}},\n",
       "        &quot;back&quot;: {eye: {x: 0, y: -1.7, z: 0},\n",
       "                    up: {x: 0, y: 0, z: 1},\n",
       "                    center: {x: 0, y: 0, z: 0}},\n",
       "    };\n",
       "\n",
       "    return cameras[view];\n",
       "\n",
       "}\n",
       "\n",
       "function getLayout(plotDivId, viewSelectId, blackBg) {\n",
       "\n",
       "    let camera = getCamera(plotDivId, viewSelectId);\n",
       "    let axisConfig = getAxisConfig();\n",
       "\n",
       "    let height = Math.min($(window).outerHeight() * .9,\n",
       "                            $(window).width() * 2 / 3);\n",
       "    let width = height * 3 / 2;\n",
       "\n",
       "    let layout = {\n",
       "        showlegend: false,\n",
       "        height: height, width: width,\n",
       "        margin: {l:0, r:0, b:0, t:0, pad:0},\n",
       "        hovermode: false,\n",
       "        paper_bgcolor: blackBg ? &#x27;#000&#x27;: &#x27;#fff&#x27;,\n",
       "        axis_bgcolor: &#x27;#333&#x27;,\n",
       "        scene: {\n",
       "            camera: camera,\n",
       "            xaxis: axisConfig,\n",
       "            yaxis: axisConfig,\n",
       "            zaxis: axisConfig\n",
       "        }\n",
       "    };\n",
       "\n",
       "    return layout;\n",
       "\n",
       "}\n",
       "\n",
       "function updateLayout(plotDivId, viewSelectId, blackBg) {\n",
       "    let layout = getLayout(\n",
       "        plotDivId, viewSelectId, blackBg);\n",
       "    Plotly.relayout(plotDivId, layout);\n",
       "}\n",
       "\n",
       "function textColor(black_bg){\n",
       "    if (black_bg){\n",
       "        return &quot;white&quot;;\n",
       "    }\n",
       "    return &quot;black&quot;;\n",
       "}\n",
       "\n",
       "function addColorbar(colorscale, cmin, cmax, divId, layout, config,\n",
       "                     fontsize=25, height=.5, color=&quot;black&quot;) {\n",
       "    // hack to get a colorbar\n",
       "    let dummy = {\n",
       "        &quot;opacity&quot;: 0,\n",
       "        &quot;colorbar&quot;: {&quot;tickfont&quot;: {&quot;size&quot;: fontsize, &quot;color&quot;: color},\n",
       "                     &quot;len&quot;: height},\n",
       "        &quot;type&quot;: &quot;mesh3d&quot;,\n",
       "        &quot;colorscale&quot;: colorscale,\n",
       "        &quot;x&quot;: [1, 0, 0],\n",
       "        &quot;y&quot;: [0, 1, 0],\n",
       "        &quot;z&quot;: [0, 0, 1],\n",
       "        &quot;i&quot;: [0],\n",
       "        &quot;j&quot;: [1],\n",
       "        &quot;k&quot;: [2],\n",
       "        &quot;intensity&quot;: [0.],\n",
       "        &quot;cmin&quot;: cmin,\n",
       "        &quot;cmax&quot;: cmax,\n",
       "    };\n",
       "\n",
       "    Plotly.plot(divId, [dummy], layout, config);\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "function decodeHemisphere(surfaceInfo, surface, hemisphere){\n",
       "\n",
       "    let info = surfaceInfo[surface + &quot;_&quot; + hemisphere];\n",
       "\n",
       "    for (let attribute of [&quot;x&quot;, &quot;y&quot;, &quot;z&quot;]) {\n",
       "        if (!(attribute in info)) {\n",
       "            info[attribute] = decodeBase64(\n",
       "                info[&quot;_&quot; + attribute], &quot;float32&quot;);\n",
       "        }\n",
       "    }\n",
       "\n",
       "    for (let attribute of [&quot;i&quot;, &quot;j&quot;, &quot;k&quot;]) {\n",
       "        if (!(attribute in info)) {\n",
       "            info[attribute] = decodeBase64(\n",
       "                info[&quot;_&quot; + attribute], &quot;int32&quot;);\n",
       "        }\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "        &lt;/script&gt;\n",
       "        \n",
       "    &lt;script&gt;\n",
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&quot;, 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&quot;, 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&quot;, 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&quot;}, &quot;pial_right&quot;: {&quot;_x&quot;: 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&quot;, 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&quot;, 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&quot;, 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MAACYTAAApEwAALBMAAC4TAAAxEwAANBMAADYTAAA4EwAAOxMAAD0TAAA/EwAAQhMAAEQTAABHEwAAShMAAEwTAABOEwAAURMAAFMTAABVEwAAWBMAAFoTAABdEwAAYBMAAGITAABkEwAAZxMAAGkTAABsEwAAbxMAAHETAAB0EwAAdxMAAHkTAAB7EwAAfhMAAIATAACCEwAAhRMAAIcTAACKEwAAjRMAAI8TAACREwAAlBMAAJYTAACZEwAAnBMAAJ4TAAChEwAApBMAAKYTAACoEwAAqxMAAK0TAACwEwAAsxMAALUTAAC4EwAAuxMAAL0TAAC/EwAAwhMAAMQTAADGEwAAyRMAAMsTAADOEwAA0RMAANMTAADVEwAA2BMAANoTAADcEwAA3xMAAOETAADkEwAA5xMAAOkTAADrEwAA7hMAAPATAADzEwAA9hMAAPgTAAD7EwAA/hMAAAAUAAACFAAABRQAAAcUAAAJFAAADBQAAA4UAAARFAAAFBQAABYUAAAYFAAAGxQAAB0UAAAgFAAAIxQAACUUAAAoFAAAKxQAAC0UAAAvFAAAMhQAADQUAAA3FAAAOhQAADwUAAA/FAAAQhQAAEQUAABGFAAASRQAAEsUAABNFAAAUBQAAFIUAABVFAAAWBQAAFoUAABcFAAAXxQAAGEUAABjFAAAZhQAAGgUAABrFAAAbhQAAHAUAAByFAAAdRQAAHcUAAB6FAAAfRQAAH8UAACCFAAAhRQAAIcUAACJFAAAjBQAAI4UAACQFAAAkxQAAJUUAACYFAAAmxQAAJ0UAACfFAAAohQAAKQUAACnFAAAqhQAAKwUAACvFAAAshQAALQUAAC2FAAAuRQAALsUAAC+FAAAwRQAAMMUAADGFAAAyRQAAMsUAADNFAAA0BQAANIUAADUFAAA1xQAANkUAADcFAAA3xQAAOEUAADjFAAA5hQAAOgUAADqFAAA7RQAAO8UAADyFAAA9RQAAPcUAAD5FAAA/BQAAP4UAAABFQAABBUAAAYVAAAJFQAADBUAAA4VAAAQFQAAExUAABUVAAAXFQAAGhUAABwVAAAfFQAAIhUAACQVAAAmFQAAKRUAACsVAAAuFQAAMRUAADMVAAA2FQAAORUAADsVAAA9FQAAQBUAAEIVAABFFQAASBUAAEoVAABNFQAAUBUAAFIVAABUFQAAVxUAAFkVAABbFQAAXhUAAGAVAABjFQAAZhUAAGgVAABqFQAAbRUAAG8VAAByFQAAdRUAAHcVAAB6FQAAfRUAAH8VAACBFQAAhBUAAIYVAACJFQAAjBUAAI4VAACRFQAAlBUAAJYVAACYFQAAmxUAAJ0VAACfFQAAohUAAKQVAACnFQAAqhUAAKwVAACuFQAAsRUAALMVAAC2FQAAuRUAALsVAAC+FQAAwRUAAMMVAADFFQAAyBUAAMoVAADNFQAA0BUAANIVAADVFQAA2BUAANoVAADcFQAA3xUAAOEVAADjFQAA5hUAAOgVAADrFQAA7hUAAPAVAADyFQAA9RUAAPcVAAD6FQAA/RUAAP8VAAACFgAABRYAAAcWAAAJFgAADBYAAA4WAAARFgAAFBYAABYWAAAZFgAAHBYAAB4WAAAgFgAAIxYAACUWAAAnFgAAKhYAACwWAAAvFgAAMhYAADQWAAA2FgAAORYAADsWAAA+FgAAQRYAAEMWAABGFgAASRYAAEsWAABNFgAAUBYAAFIWAABVFgAAWBYAAFoWAABdFgAAYBYAAGIWAABkFgAAZxYAAGkWAABrFgAAbhYAAHAWAABzFgAAdhYAAHgWAAB6FgAAfRYAAH8WAACCFgAAAwoAAIUWAACHFgAABgoAAIoWAACLFgAACAoAAI4WAACPFgAACgoAAJIWAACGFgAACwoAAJUWAACWFgAADQoAAJkWAACbFgAAEAoAAJ4WAACfFgAAEgoAAKIWAACjFgAAFAoAAKYWAACoFgAAFwoAAKsWAACsFgAAGQoAAK8WAACxFgAAHAoAALQWAAC1FgAAHgoAALgWAAC6FgAAIQoAAL0WAAC+FgAAIwoAAMEWAADDFgAAJgoAAMYWAADIFgAAKQoAAMsWAADNFgAALAoAANAWAADSFgAALwoAANUWAADXFgAAMgoAANoWAADcFgAANQoAAN8WAADhFgAAOAoAAOQWAADlFgAAOgoAAOgWAADqFgAAPQoAAO0WAADvFgAAQAoAAPIWAADzFgAAQgoAAPYWAAD3FgAARAoAAPoWAAD8FgAARwoAAP8WAAAAFwAASQoAAAMXAAAEFwAASwoAAAcXAAAJFwAATgoAAAwXAAANFwAAUAoAABAXAADpFgAAUQoAABMXAAAVFwAAVAoAABgXAAAZFwAAVgoAABwXAAAdFwAAWAoAACAXAAAiFwAAWwoAACUXAAAmFwAAXQoAACkXAAArFwAAYAoAAC4XAAAwFwAAYwoAADMXAAA0FwAAZQoAADcXAAA4FwAAZwoAADsXAAA9FwAAagoAAEAXAABBFwAAbAoAAEQXAABFFwAAbgoAAEgXAABKFwAAcQoAAE0XAABOFwAAcwoAAFEXAABTFwAAdgoAAFYXAABYFwAAeQoAAFsXAABcFwAAewoAAF8XAABgFwAAfQoAAGMXAABlFwAAgAoAAGgXAABpFwAAggoAAGwXAABuFwAAhQoAAHEXAABzFwAAiAoAAHYXAAB3FwAAigoAAHoXAAB7FwAAjAoAAH4XAACAFwAAjwoAAIMXAACEFwAAkQoAAIcXAACJFwAAlAoAAIwXAACOFwAAlwoAAJEXAACSFwAAmQoAAJUXAACWFwAAmwoAAJkXAACbFwAAngoAAJ4XAACfFwAAoAoAAKIXAACkFwAAowoAAKcXAACpFwAApgoAAKwXAACtFwAAqAoAALAXAACyFwAAqwoAALUXAAC3FwAArgoAALoXAAC7FwAAsAoAAL4XAADAFwAAswoAAMMXAADFFwAAtgoAAMgXAADJFwAAuAoAAMwXAADOFwAAuwoAANEXAADTFwAAvgoAANYXAADXFwAAwAoAANoXAADcFwAAwwoAAN8XAADhFwAAxgoAAOQXAADlFwAAyAoAAOgXAADqFwAAywoAAO0XAADvFwAAzgoAAPIXAADzFwAA0AoAAPYXAAD4FwAA0woAAPsXAAD9FwAA1goAAAAYAAABGAAA2AoAAAQYAAAFGAAA2goAAAgYAAAKGAAA3QoAAA0YAAAOGAAA3woAABEYAAASGAAA4QoAABUYAAAXGAAA5AoAABoYAAAbGAAA5goAAB4YAAD3FwAA5woAACEYAAAjGAAA6goAACYYAAAnGAAA7AoAACoYAAArGAAA7goAAC4YAAAwGAAA8QoAADMYAAA0GAAA8woAADcYAAA5GAAA9goAADwYAAA+GAAA+QoAAEEYAABCGAAA+woAAEUYAABGGAAA/QoAAEkYAABLGAAAAAsAAE4YAABPGAAAAgsAAFIYAABTGAAABAsAAFYYAABYGAAABwsAAFsYAABcGAAACQsAAF8YAABhGAAADAsAAGQYAABmGAAADwsAAGkYAABqGAAAEQsAAG0YAABuGAAAEwsAAHEYAABzGAAAFgsAAHYYAAB3GAAAGAsAAHoYAAB8GAAAGwsAAH8YAACBGAAAHgsAAIQYAACFGAAAIAsAAIgYAACJGAAAIgsAAIwYAACOGAAAJQsAAJEYAACSGAAAJwsAAJUYAACXGAAAKgsAAJoYAACcGAAALQsAAJ8YAACgGAAALwsAAKMYAACkGAAAMQsAAKcYAACpGAAANAsAAKwYAACtGAAANgsAALAYAACyGAAAOQsAALUYAAC3GAAAPAsAALoYAAC7GAAAPgsAAL4YAADAGAAAQQsAAMMYAADFGAAARAsAAMgYAADJGAAARgsAAMwYAADOGAAASQsAANEYAADTGAAATAsAANYYAADXGAAATgsAANoYAADcGAAAUQsAAN8YAADhGAAAVAsAAOQYAADlGAAAVgsAAOgYAADqGAAAWQsAAO0YAADvGAAAXAsAAPIYAADzGAAAXgsAAPYYAAD4GAAAYQsAAPsYAAD9GAAAZAsAAAAZAAABGQAAZgsAAAQZAAAGGQAAaQsAAAkZAAALGQAAbAsAAA4ZAAAPGQAAbgsAABIZAAATGQAAcAsAABYZAAAYGQAAcwsAABsZAAAcGQAAdQsAAB8ZAAAhGQAAeAsAACQZAAAmGQAAewsAACkZAAAqGQAAfQsAAC0ZAAAvGQAAgAsAADIZAAA0GQAAgwsAADcZAAA4GQAAhQsAADsZAAA8GQAAhwsAAD8ZAABBGQAAigsAAEQZAABFGQAAjAsAAEgZAABJGQAAjgsAAEwZAABOGQAAkQsAAFEZAABSGQAAkwsAAFUZAABXGQAAlgsAAFoZAABcGQAAmQsAAF8ZAABgGQAAmwsAAGMZAABkGQAAnQsAAGcZAABpGQAAoAsAAGwZAABtGQAAogsAAHAZAABxGQAApAsAAHQZAAB2GQAApwsAAHkZAAB6GQAAqQsAAH0ZAAB/GQAArAsAAIIZAACEGQAArwsAAIcZAACIGQAAsQsAAIsZAACMGQAAswsAAI8ZAACRGQAAtgsAAJQZAACVGQAAuAsAAJgZAAAgGQAAuQsAAJsZAACdGQAAvAsAAKAZAAChGQAAvgsAAKQZAACmGQAAwQsAAKkZAACrGQAAxAsAAK4ZAACvGQAAxgsAALIZAACzGQAAyAsAALYZAAC4GQAAywsAALsZAAC8GQAAzQsAAL8ZAADAGQAAzwsAAMMZAADFGQAA0gsAAMgZAADJGQAA1AsAAMwZAADOGQAA1wsAANEZAADTGQAA2gsAANYZAADXGQAA3AsAANoZAADbGQAA3gsAAN4ZAADgGQAA4QsAAOMZAADkGQAA4wsAAOcZAADpGQAA5gsAAOwZAADuGQAA6QsAAPEZAADyGQAA6wsAAPUZAAD3GQAA7gsAAPoZAAD8GQAA8QsAAP8ZAAAAGgAA8wsAAAMaAAAEGgAA9QsAAAcaAAAJGgAA+AsAAAwaAAANGgAA+gsAABAaAAARGgAA/AsAABQaAAAWGgAA/wsAABkaAAAaGgAAAQwAAB0aAAAfGgAABAwAACIaAAAkGgAABwwAACcaAAAoGgAACQwAACsaAAAsGgAACwwAAC8aAAAxGgAADgwAADQaAAA1GgAAEAwAADgaAAA5GgAAEgwAADwaAAA+GgAAFQwAAEEaAABCGgAAFwwAAEUaAABHGgAAGgwAAEoaAABMGgAAHQwAAE8aAABQGgAAHwwAAFMaAABUGgAAIQwAAFcaAABZGgAAJAwAAFwaAABdGgAAJgwAAGAaAABiGgAAKQwAAGUaAABnGgAALAwAAGoaAABrGgAALgwAAG4aAABwGgAAMQwAAHMaAAB1GgAANAwAAHgaAAB5GgAANgwAAHwaAAB9GgAAOAwAAIAaAACCGgAAOwwAAIUaAACGGgAAPQwAAIkaAACKGgAAPwwAAI0aAACPGgAAQgwAAJIaAACTGgAARAwAAJYaAACYGgAARwwAAJsaAACdGgAASgwAAKAaAAChGgAATAwAAKQaAAClGgAATgwAAKgaAACqGgAAUQwAAK0aAACuGgAAUwwAALEaAACzGgAAVgwAALYaAAC4GgAAWQwAALsaAAC8GgAAWwwAAL8aAADBGgAAXgwAAMQaAADGGgAAYQwAAMkaAADKGgAAYwwAAM0aAADOGgAAZQwAANEaAADTGgAAaAwAANYaAADXGgAAagwAANoaAADbGgAAbAwAAN4aAADgGgAAbwwAAOMaAADkGgAAcQwAAOcaAADpGgAAdAwAAOwaAADuGgAAdwwAAPEaAADyGgAAeQwAAPUaAAD2GgAAewwAAPkaAAD7GgAAfgwAAP4aAAD/GgAAgAwAAAIbAAAEGwAAgwwAAAcbAAAJGwAAhgwAAAwbAAANGwAAiAwAABAbAAASGwAAiwwAABUbAAAXGwAAjgwAABobAAAbGwAAkAwAAB4bAAAfGwAAkgwAACIbAAAkGwAAlQwAACcbAAAoGwAAlwwAACsbAAAsGwAAmQwAAC8bAAAxGwAAnAwAADQbAAA1GwAAngwAADgbAAA6GwAAoQwAAD0bAAA/GwAApAwAAEIbAABDGwAApgwAAEYbAABHGwAAqAwAAEobAABMGwAAqwwAAE8bAABQGwAArQwAAFMbAABVGwAAsAwAAFgbAABaGwAAswwAAF0bAABeGwAAtQwAAGEbAABjGwAAuAwAAGYbAABoGwAAuwwAAGsbAABsGwAAvQwAAG8bAABwGwAAvwwAAHMbAAB1GwAAwgwAAHgbAAB5GwAAxAwAAHwbAAB+GwAAxwwAAIEbAACDGwAAygwAAIYbAACHGwAAzAwAAIobAACMGwAAzwwAAI8bAACRGwAA0gwAAJQbAACVGwAA1AwAAJgbAACZGwAA1gwAAJwbAACeGwAA2QwAAKEbAACiGwAA2wwAAKUbAACnGwAA3gwAAKobAACsGwAA4QwAAK8bAACwGwAA4wwAALMbAAC1GwAA5gwAALgbAAC6GwAA6QwAAL0bAAC+GwAA6wwAAMEbAADCGwAA7QwAAMUbAADHGwAA8AwAAMobAADLGwAA8gwAAM4bAADQGwAA9QwAANMbAADVGwAA+AwAANgbAADZGwAA+gwAANwbAADeGwAA/QwAAOEbAADjGwAAAA0AAOYbAADnGwAAAg0AAOobAADrGwAABA0AAO4bAADwGwAABw0AAPMbAAD0GwAACQ0AAPcbAAD5GwAADA0AAPwbAAD+GwAADw0AAAEcAAACHAAAEQ0AAAUcAAAHHAAAFA0AAAocAAAMHAAAFw0AAA8cAAAQHAAAGQ0AABMcAAAUHAAAGw0AABccAAAZHAAAHg0AABwcAAAdHAAAIA0AACAcAAAiHAAAIw0AACUcAACDFgAAJg0AACgcAAApHAAAKA0AACscAAAtHAAAKw0AADAcAACIFgAALg0AADMcAAA0HAAAMA0AADYcAAA3HAAAMg0AADocAACMFgAANQ0AAD0cAAA+HAAANw0AAEAcAABBHAAAOQ0AAEQcAACQFgAAPA0AAEccAABIHAAAPg0AAEocAAAsHAAAPw0AAE0cAACTFgAAQg0AAFAcAABRHAAARA0AAFMcAABUHAAARg0AAFccAACXFgAASQ0AAFocAABbHAAASw0AAF0cAABfHAAATg0AAGIcAACcFgAAUQ0AAGUcAABmHAAAUw0AAGgcAABpHAAAVQ0AAGwcAACgFgAAWA0AAG8cAABwHAAAWg0AAHIcAABzHAAAXA0AAHYcAACkFgAAXw0AAHkcAAB6HAAAYQ0AAHwcAAB+HAAAZA0AAIEcAACpFgAAZw0AAIQcAACFHAAAaQ0AAIccAACIHAAAaw0AAIscAACtFgAAbg0AAI4cAACPHAAAcA0AAJEcAACTHAAAcw0AAJYcAACyFgAAdg0AAJkcAACaHAAAeA0AAJwcAACdHAAAeg0AAKAcAAC2FgAAfQ0AAKMcAACkHAAAfw0AAKYcAACoHAAAgg0AAKscAAC7FgAAhQ0AAK4cAACvHAAAhw0AALEcAACyHAAAiQ0AALUcAAC/FgAAjA0AALgcAAC5HAAAjg0AALscAAC9HAAAkQ0AAMAcAADEFgAAlA0AAMMcAADEHAAAlg0AAMYcAADIHAAAmQ0AAMscAADJFgAAnA0AAM4cAADPHAAAng0AANEcAADTHAAAoQ0AANYcAADOFgAApA0AANkcAADaHAAApg0AANwcAADeHAAAqQ0AAOEcAADTFgAArA0AAOQcAADlHAAArg0AAOccAADpHAAAsQ0AAOwcAADYFgAAtA0AAO8cAADwHAAAtg0AAPIcAAD0HAAAuQ0AAPccAADdFgAAvA0AAPocAAD7HAAAvg0AAP0cAAD/HAAAwQ0AAAIdAADiFgAAxA0AAAUdAAAGHQAAxg0AAAgdAAAJHQAAyA0AAAwdAADmFgAAyw0AAA8dAAAQHQAAzQ0AABIdAAAUHQAA0A0AABcdAADrFgAA0w0AABodAAAbHQAA1Q0AAB0dAAAfHQAA2A0AACIdAADwFgAA2w0AACUdAAAmHQAA3Q0AACgdAAApHQAA3w0AACwdAAD0FgAA4g0AAC8dAAAwHQAA5A0AADIdAAAzHQAA5g0AADYdAAD4FgAA6Q0AADkdAAA6HQAA6w0AADwdAAA+HQAA7g0AAEEdAAD9FgAA8Q0AAEQdAABFHQAA8w0AAEcdAABIHQAA9Q0AAEsdAAABFwAA+A0AAE4dAABPHQAA+g0AAFEdAABSHQAA/A0AAFUdAAAFFwAA/w0AAFgdAABZHQAAAQ4AAFsdAABdHQAABA4AAGAdAAAKFwAABw4AAGMdAABkHQAACQ4AAGYdAABnHQAACw4AAGodAAAOFwAADg4AAG0dAABuHQAAEA4AAHAdAAATHQAAEQ4AAHMdAAARFwAAFA4AAHYdAAB3HQAAFg4AAHkdAAB7HQAAGQ4AAH4dAAAWFwAAHA4AAIEdAACCHQAAHg4AAIQdAACFHQAAIA4AAIgdAAAaFwAAIw4AAIsdAACMHQAAJQ4AAI4dAACPHQAAJw4AAJIdAAAeFwAAKg4AAJUdAACWHQAALA4AAJgdAACaHQAALw4AAJ0dAAAjFwAAMg4AAKAdAAChHQAANA4AAKMdAACkHQAANg4AAKcdAAAnFwAAOQ4AAKodAACrHQAAOw4AAK0dAACvHQAAPg4AALIdAAAsFwAAQQ4AALUdAAC2HQAAQw4AALgdAAC6HQAARg4AAL0dAAAxFwAASQ4AAMAdAADBHQAASw4AAMMdAADEHQAATQ4AAMcdAAA1FwAAUA4AAModAADLHQAAUg4AAM0dAADOHQAAVA4AANEdAAA5FwAAVw4AANQdAADVHQAAWQ4AANcdAADZHQAAXA4AANwdAAA+FwAAXw4AAN8dAADgHQAAYQ4AAOIdAADjHQAAYw4AAOYdAABCFwAAZg4AAOkdAADqHQAAaA4AAOwdAADtHQAAag4AAPAdAABGFwAAbQ4AAPMdAAD0HQAAbw4AAPYdAAD4HQAAcg4AAPsdAABLFwAAdQ4AAP4dAAD/HQAAdw4AAAEeAAACHgAAeQ4AAAUeAABPFwAAfA4AAAgeAAAJHgAAfg4AAAseAAANHgAAgQ4AABAeAABUFwAAhA4AABMeAAAUHgAAhg4AABYeAAAYHgAAiQ4AABseAABZFwAAjA4AAB4eAAAfHgAAjg4AACEeAAAiHgAAkA4AACUeAABdFwAAkw4AACgeAAApHgAAlQ4AACseAAAsHgAAlw4AAC8eAABhFwAAmg4AADIeAAAzHgAAnA4AADUeAAA3HgAAnw4AADoeAABmFwAAog4AAD0eAAA+HgAApA4AAEAeAABBHgAApg4AAEQeAABqFwAAqQ4AAEceAABIHgAAqw4AAEoeAABMHgAArg4AAE8eAABvFwAAsQ4AAFIeAABTHgAAsw4AAFUeAABXHgAAtg4AAFoeAAB0FwAAuQ4AAF0eAABeHgAAuw4AAGAeAABhHgAAvQ4AAGQeAAB4FwAAwA4AAGceAABoHgAAwg4AAGoeAABrHgAAxA4AAG4eAAB8FwAAxw4AAHEeAAByHgAAyQ4AAHQeAAB2HgAAzA4AAHkeAACBFwAAzw4AAHweAAB9HgAA0Q4AAH8eAACAHgAA0w4AAIMeAACFFwAA1g4AAIYeAACHHgAA2A4AAIkeAACLHgAA2w4AAI4eAACKFwAA3g4AAJEeAACSHgAA4A4AAJQeAACWHgAA4w4AAJkeAACPFwAA5g4AAJweAACdHgAA6A4AAJ8eAACgHgAA6g4AAKMeAACTFwAA7Q4AAKYeAACnHgAA7w4AAKkeAACqHgAA8Q4AAK0eAACXFwAA9A4AALAeAACxHgAA9g4AALMeAAC1HgAA+Q4AALgeAACcFwAA/A4AALseAAC8HgAA/g4AAL4eAAC/HgAAAA8AAMIeAACgFwAAAw8AAMUeAADGHgAABQ8AAMgeAADKHgAACA8AAM0eAAClFwAACw8AANAeAADRHgAADQ8AANMeAADVHgAAEA8AANgeAACqFwAAEw8AANseAADcHgAAFQ8AAN4eAADfHgAAFw8AAOIeAACuFwAAGg8AAOUeAADmHgAAHA8AAOgeAADqHgAAHw8AAO0eAACzFwAAIg8AAPAeAADxHgAAJA8AAPMeAAD1HgAAJw8AAPgeAAC4FwAAKg8AAPseAAD8HgAALA8AAP4eAAD/HgAALg8AAAIfAAC8FwAAMQ8AAAUfAAAGHwAAMw8AAAgfAAAKHwAANg8AAA0fAADBFwAAOQ8AABAfAAARHwAAOw8AABMfAAAVHwAAPg8AABgfAADGFwAAQQ8AABsfAAAcHwAAQw8AAB4fAAAfHwAARQ8AACIfAADKFwAASA8AACUfAAAmHwAASg8AACgfAAAqHwAATQ8AAC0fAADPFwAAUA8AADAfAAAxHwAAUg8AADMfAAA1HwAAVQ8AADgfAADUFwAAWA8AADsfAAA8HwAAWg8AAD4fAAA/HwAAXA8AAEIfAADYFwAAXw8AAEUfAABGHwAAYQ8AAEgfAABKHwAAZA8AAE0fAADdFwAAZw8AAFAfAABRHwAAaQ8AAFMfAABVHwAAbA8AAFgfAADiFwAAbw8AAFsfAABcHwAAcQ8AAF4fAABfHwAAcw8AAGIfAADmFwAAdg8AAGUfAABmHwAAeA8AAGgfAABqHwAAew8AAG0fAADrFwAAfg8AAHAfAABxHwAAgA8AAHMfAAAjHAAAgw8AAHYfAADwFwAAhg8AAHkfAAB6HwAAiA8AAHwfAAB9HwAAig8AAH8fAAD0FwAAjQ8AAIIfAACDHwAAjw8AAIUfAACHHwAAkg8AAIofAAD5FwAAlQ8AAI0fAACOHwAAlw8AAJAfAAAuHAAAmg8AAJMfAAD+FwAAnQ8AAJYfAACXHwAAnw8AAJkfAACaHwAAoQ8AAJwfAAACGAAApA8AAJ8fAACgHwAApg8AAKIfAACjHwAAqA8AAKYfAAAGGAAAqw8AAKkfAACqHwAArQ8AAKwfAAA4HAAAsA8AAK8fAAALGAAAsw8AALIfAACzHwAAtQ8AALUfAAC2HwAAtw8AALgfAAAPGAAAug8AALsfAAC8HwAAvA8AAL4fAAC/HwAAvg8AAMIfAAATGAAAwQ8AAMUfAADGHwAAww8AAMgfAABCHAAAxg8AAMsfAAAYGAAAyQ8AAM4fAADPHwAAyw8AANEfAADSHwAAzQ8AANQfAAAcGAAA0A8AANcfAADYHwAA0g8AANofAACGHwAA0w8AAN0fAAAfGAAA1g8AAOAfAADhHwAA2A8AAOMfAABLHAAA2w8AAOYfAAAkGAAA3g8AAOkfAADqHwAA4A8AAOwfAADtHwAA4g8AAO8fAAAoGAAA5Q8AAPIfAADzHwAA5w8AAPUfAAD2HwAA6Q8AAPkfAAAsGAAA7A8AAPwfAAD9HwAA7g8AAP8fAABVHAAA8Q8AAAIgAAAxGAAA9A8AAAUgAAAGIAAA9g8AAAggAAAJIAAA+A8AAAsgAAA1GAAA+w8AAA4gAAAPIAAA/Q8AABEgAAATIAAAABAAABYgAAA6GAAAAxAAABkgAAAaIAAABRAAABwgAABgHAAACBAAAB8gAAA/GAAACxAAACIgAAAjIAAADRAAACUgAAAmIAAADxAAACggAABDGAAAEhAAACsgAAAsIAAAFBAAAC4gAAAvIAAAFhAAADIgAABHGAAAGRAAADUgAAA2IAAAGxAAADggAABqHAAAHhAAADsgAABMGAAAIRAAAD4gAAA/IAAAIxAAAEEgAABCIAAAJRAAAEQgAABQGAAAKBAAAEcgAABIIAAAKhAAAEogAABLIAAALBAAAE4gAABUGAAALxAAAFEgAABSIAAAMRAAAFQgAAB0HAAANBAAAFcgAABZGAAANxAAAFogAABbIAAAORAAAF0gAABeIAAAOxAAAGAgAABdGAAAPhAAAGMgAABkIAAAQBAAAGYgAABoIAAAQxAAAGsgAABiGAAARhAAAG4gAABvIAAASBAAAHEgAAB/HAAASxAAAHQgAABnGAAAThAAAHcgAAB4IAAAUBAAAHogAAB7IAAAUhAAAH0gAABrGAAAVRAAAIAgAACBIAAAVxAAAIMgAACEIAAAWRAAAIcgAABvGAAAXBAAAIogAACLIAAAXhAAAI0gAACJHAAAYRAAAJAgAAB0GAAAZBAAAJMgAACUIAAAZhAAAJYgAACXIAAAaBAAAJkgAAB4GAAAaxAAAJwgAACdIAAAbRAAAJ8gAAChIAAAcBAAAKQgAAB9GAAAcxAAAKcgAACoIAAAdRAAAKogAACUHAAAeBAAAK0gAACCGAAAexAAALAgAACxIAAAfRAAALMgAAC0IAAAfxAAALYgAACGGAAAghAAALkgAAC6IAAAhBAAALwgAAC9IAAAhhAAAMAgAACKGAAAiRAAAMMgAADEIAAAixAAAMYgAACeHAAAjhAAAMkgAACPGAAAkRAAAMwgAADNIAAAkxAAAM8gAADQIAAAlRAAANIgAACTGAAAmBAAANUgAADWIAAAmhAAANggAADaIAAAnRAAAN0gAACYGAAAoBAAAOAgAADhIAAAohAAAOMgAACpHAAApRAAAOYgAACdGAAAqBAAAOkgAADqIAAAqhAAAOwgAADtIAAArBAAAO8gAAChGAAArxAAAPIgAADzIAAAsRAAAPUgAAD2IAAAsxAAAPkgAAClGAAAthAAAPwgAAD9IAAAuBAAAP8gAACzHAAAuxAAAAIhAACqGAAAvhAAAAUhAAAGIQAAwBAAAAghAAAJIQAAwhAAAAshAACuGAAAxRAAAA4hAAAPIQAAxxAAABEhAAATIQAAyhAAABYhAACzGAAAzRAAABkhAAAaIQAAzxAAABwhAAC+HAAA0hAAAB8hAAC4GAAA1RAAACIhAAAjIQAA1xAAACUhAAAmIQAA2RAAACghAAC8GAAA3BAAACshAAAsIQAA3hAAAC4hAAAwIQAA4RAAADMhAADBGAAA5BAAADYhAAA3IQAA5hAAADkhAADJHAAA6RAAADwhAADGGAAA7BAAAD8hAABAIQAA7hAAAEIhAABDIQAA8BAAAEUhAADKGAAA8xAAAEghAABJIQAA9RAAAEshAABNIQAA+BAAAFAhAADPGAAA+xAAAFMhAABUIQAA/RAAAFYhAADUHAAAABEAAFkhAADUGAAAAxEAAFwhAABdIQAABREAAF8hAABgIQAABxEAAGIhAADYGAAAChEAAGUhAABmIQAADBEAAGghAABqIQAADxEAAG0hAADdGAAAEhEAAHAhAABxIQAAFBEAAHMhAADfHAAAFxEAAHYhAADiGAAAGhEAAHkhAAB6IQAAHBEAAHwhAAB9IQAAHhEAAH8hAADmGAAAIREAAIIhAACDIQAAIxEAAIUhAACHIQAAJhEAAIohAADrGAAAKREAAI0hAACOIQAAKxEAAJAhAADqHAAALhEAAJMhAADwGAAAMREAAJYhAACXIQAAMxEAAJkhAACaIQAANREAAJwhAAD0GAAAOBEAAJ8hAACgIQAAOhEAAKIhAACkIQAAPREAAKchAAD5GAAAQBEAAKohAACrIQAAQhEAAK0hAAD1HAAARREAALAhAAD+GAAASBEAALMhAAC0IQAAShEAALYhAAC3IQAATBEAALkhAAACGQAATxEAALwhAAC9IQAAUREAAL8hAABrHwAAVBEAAMIhAAAHGQAAVxEAAMUhAADGIQAAWREAAMghAAAAHQAAXBEAAMshAAAMGQAAXxEAAM4hAADPIQAAYREAANEhAADSIQAAYxEAANQhAAAQGQAAZhEAANchAADYIQAAaBEAANohAADbIQAAahEAAN0hAAAUGQAAbREAAOAhAADhIQAAbxEAAOMhAAAKHQAAchEAAOYhAAAZGQAAdREAAOkhAADqIQAAdxEAAOwhAADtIQAAeREAAO8hAAAdGQAAfBEAAPIhAADzIQAAfhEAAPUhAAD3IQAAgREAAPohAAAiGQAAhBEAAP0hAAD+IQAAhhEAAAAiAAAVHQAAiREAAAMiAAAnGQAAjBEAAAYiAAAHIgAAjhEAAAkiAAAKIgAAkBEAAAwiAAArGQAAkxEAAA8iAAAQIgAAlREAABIiAACIHwAAmBEAABUiAAAwGQAAmxEAABgiAAAZIgAAnREAABsiAAAgHQAAoBEAAB4iAAA1GQAAoxEAACEiAAAiIgAApREAACQiAAAlIgAApxEAACciAAA5GQAAqhEAACoiAAArIgAArBEAAC0iAAAuIgAArhEAADAiAAA9GQAAsREAADMiAAA0IgAAsxEAADYiAAAqHQAAthEAADkiAABCGQAAuREAADwiAAA9IgAAuxEAAD8iAABAIgAAvREAAEIiAABGGQAAwBEAAEUiAABGIgAAwhEAAEgiAABJIgAAxBEAAEwiAABKGQAAxxEAAE8iAABQIgAAyREAAFIiAAA0HQAAzBEAAFUiAABPGQAAzxEAAFgiAABZIgAA0REAAFsiAABcIgAA0xEAAF4iAABTGQAA1hEAAGEiAABiIgAA2BEAAGQiAACkHwAA2xEAAGciAABYGQAA3hEAAGoiAABrIgAA4BEAAG0iAAA/HQAA4xEAAHAiAABdGQAA5hEAAHMiAAB0IgAA6BEAAHYiAAB3IgAA6hEAAHkiAABhGQAA7REAAHwiAAB9IgAA7xEAAH8iAACAIgAA8REAAIIiAABlGQAA9BEAAIUiAACGIgAA9hEAAIgiAABJHQAA+REAAIsiAABqGQAA/BEAAI4iAACPIgAA/hEAAJEiAACSIgAAABIAAJQiAABuGQAAAxIAAJciAACYIgAABRIAAJoiAACbIgAABxIAAJ4iAAByGQAAChIAAKEiAACiIgAADBIAAKQiAABTHQAADxIAAKciAAB3GQAAEhIAAKoiAACrIgAAFBIAAK0iAACuIgAAFhIAALAiAAB7GQAAGRIAALMiAAC0IgAAGxIAALYiAADAHwAAHhIAALkiAACAGQAAIRIAALwiAAC9IgAAIxIAAL8iAABeHQAAJhIAAMIiAACFGQAAKRIAAMUiAADGIgAAKxIAAMgiAADJIgAALRIAAMsiAACJGQAAMBIAAM4iAADPIgAAMhIAANEiAADSIgAANBIAANQiAACNGQAANxIAANciAADYIgAAORIAANoiAABoHQAAPBIAAN0iAACSGQAAPxIAAOAiAADhIgAAQRIAAOMiAADkIgAAQxIAAOYiAACWGQAARhIAAOkiAADqIgAASBIAAOwiAAD2IQAASRIAAO4iAACZGQAATBIAAPEiAADyIgAAThIAAPQiAABxHQAAURIAAPciAACeGQAAVBIAAPoiAAD7IgAAVhIAAP0iAAD+IgAAWBIAAAAjAACiGQAAWxIAAAMjAAAEIwAAXRIAAAYjAADbHwAAYBIAAAkjAACnGQAAYxIAAAwjAAANIwAAZRIAAA8jAAB8HQAAaBIAABIjAACsGQAAaxIAABUjAAAWIwAAbRIAABgjAAAZIwAAbxIAABsjAACwGQAAchIAAB4jAAAfIwAAdBIAACEjAAAiIwAAdhIAACQjAAC0GQAAeRIAACcjAAAoIwAAexIAACojAACGHQAAfhIAAC0jAAC5GQAAgRIAADAjAAAxIwAAgxIAADMjAAA0IwAAhRIAADYjAAC9GQAAiBIAADkjAAA6IwAAihIAADwjAAA+IwAAjBIAAEEjAADBGQAAjxIAAEQjAABFIwAAkRIAAEcjAACQHQAAlBIAAEojAADGGQAAlxIAAE0jAABOIwAAmRIAAFAjAABRIwAAmxIAAFMjAADKGQAAnhIAAFYjAABXIwAAoBIAAFkjAAD3HwAAoxIAAFwjAADPGQAAphIAAF8jAABgIwAAqBIAAGIjAACbHQAAqxIAAGUjAADUGQAArhIAAGgjAABpIwAAsBIAAGsjAABsIwAAshIAAG4jAADYGQAAtRIAAHEjAAByIwAAtxIAAHQjAAB1IwAAuRIAAHcjAADcGQAAvBIAAHojAAB7IwAAvhIAAH0jAAClHQAAwRIAAIAjAADhGQAAxBIAAIMjAACEIwAAxhIAAIYjAACHIwAAyBIAAIkjAADlGQAAyxIAAIwjAACNIwAAzRIAAI8jAACQIwAA0BIAAJMjAADqGQAA0xIAAJYjAACXIwAA1RIAAJkjAACwHQAA2BIAAJwjAADvGQAA2xIAAJ8jAACgIwAA3RIAAKIjAACjIwAA3xIAAKUjAADzGQAA4hIAAKgjAACpIwAA5BIAAKsjAAAUIAAA5xIAAK4jAAD4GQAA6hIAALEjAACyIwAA7BIAALQjAAC7HQAA7xIAALcjAAD9GQAA8hIAALojAAC7IwAA9BIAAL0jAAC+IwAA9hIAAMAjAAABGgAA+RIAAMMjAADEIwAA+xIAAMYjAADHIwAA/RIAAMkjAAAFGgAAABMAAMwjAADNIwAAAhMAAM8jAADFHQAABRMAANIjAAAKGgAACBMAANUjAADWIwAAChMAANgjAADZIwAADBMAANsjAAAOGgAADxMAAN4jAADfIwAAERMAAOEjAAClIQAAExMAAOMjAAASGgAAFhMAAOYjAADnIwAAGBMAAOkjAADPHQAAGxMAAOwjAAAXGgAAHhMAAO8jAADwIwAAIBMAAPIjAADzIwAAIhMAAPUjAAAbGgAAJRMAAPgjAAD5IwAAJxMAAPsjAAAwIAAAKhMAAP4jAAAgGgAALRMAAAEkAAACJAAALxMAAAQkAADaHQAAMhMAAAckAAAlGgAANRMAAAokAAALJAAANxMAAA0kAAAOJAAAORMAABAkAAApGgAAPBMAABMkAAAUJAAAPhMAABYkAAAXJAAAQBMAABkkAAAtGgAAQxMAABwkAAAdJAAARRMAAB8kAADkHQAASBMAACIkAAAyGgAASxMAACUkAAAmJAAATRMAACgkAAApJAAATxMAACskAAA2GgAAUhMAAC4kAAAvJAAAVBMAADEkAAAzJAAAVhMAADYkAAA6GgAAWRMAADkkAAA6JAAAWxMAADwkAADuHQAAXhMAAD8kAAA/GgAAYRMAAEIkAABDJAAAYxMAAEUkAABGJAAAZRMAAEgkAABDGgAAaBMAAEskAABMJAAAahMAAE4kAABMIAAAbRMAAFEkAABIGgAAcBMAAFQkAABVJAAAchMAAFckAAD5HQAAdRMAAFokAABNGgAAeBMAAF0kAABeJAAAehMAAGAkAABhJAAAfBMAAGMkAABRGgAAfxMAAGYkAABnJAAAgRMAAGkkAABqJAAAgxMAAGwkAABVGgAAhhMAAG8kAABwJAAAiBMAAHIkAAADHgAAixMAAHUkAABaGgAAjhMAAHgkAAB5JAAAkBMAAHskAAB8JAAAkhMAAH4kAABeGgAAlRMAAIEkAACCJAAAlxMAAIQkAAD4IQAAmhMAAIYkAABjGgAAnRMAAIkkAACKJAAAnxMAAIwkAAAOHgAAohMAAI8kAABoGgAApRMAAJIkAACTJAAApxMAAJUkAACWJAAAqRMAAJgkAABsGgAArBMAAJskAACcJAAArhMAAJ4kAABpIAAAsRMAAKEkAABxGgAAtBMAAKQkAAClJAAAthMAAKckAAAZHgAAuRMAAKokAAB2GgAAvBMAAK0kAACuJAAAvhMAALAkAACxJAAAwBMAALMkAAB6GgAAwxMAALYkAAC3JAAAxRMAALkkAAC6JAAAxxMAALwkAAB+GgAAyhMAAL8kAADAJAAAzBMAAMIkAAAjHgAAzxMAAMUkAACDGgAA0hMAAMgkAADJJAAA1BMAAMskAADMJAAA1hMAAM4kAACHGgAA2RMAANEkAADSJAAA2xMAANQkAADWJAAA3RMAANkkAACLGgAA4BMAANwkAADdJAAA4hMAAN8kAAAtHgAA5RMAAOIkAACQGgAA6BMAAOUkAADmJAAA6hMAAOgkAADpJAAA7BMAAOskAACUGgAA7xMAAO4kAADvJAAA8RMAAPEkAACFIAAA9BMAAPQkAACZGgAA9xMAAPckAAD4JAAA+RMAAPokAAA4HgAA/BMAAP0kAACeGgAA/xMAAAAlAAABJQAAARQAAAMlAAAEJQAAAxQAAAYlAACiGgAABhQAAAklAAAKJQAACBQAAAwlAAANJQAAChQAAA8lAACmGgAADRQAABIlAAATJQAADxQAABUlAABCHgAAEhQAABglAACrGgAAFRQAABslAAAcJQAAFxQAAB4lAAAfJQAAGRQAACElAACvGgAAHBQAACQlAAAlJQAAHhQAACclAABKIgAAIRQAACklAAC0GgAAJBQAACwlAAAtJQAAJhQAAC8lAABNHgAAKRQAADIlAAC5GgAALBQAADUlAAA2JQAALhQAADglAAA5JQAAMBQAADslAAC9GgAAMxQAAD4lAAA/JQAANRQAAEElAACiIAAAOBQAAEQlAADCGgAAOxQAAEclAABIJQAAPRQAAEolAABYHgAAQBQAAE0lAADHGgAAQxQAAFAlAABRJQAARRQAAFMlAABUJQAARxQAAFYlAADLGgAAShQAAFklAABaJQAATBQAAFwlAABdJQAAThQAAF8lAADPGgAAURQAAGIlAABjJQAAUxQAAGUlAABiHgAAVhQAAGglAADUGgAAWRQAAGslAABsJQAAWxQAAG4lAABvJQAAXRQAAHElAADYGgAAYBQAAHQlAAB1JQAAYhQAAHclAAB5JQAAZBQAAHwlAADcGgAAZxQAAH8lAACAJQAAaRQAAIIlAABsHgAAbBQAAIUlAADhGgAAbxQAAIglAACJJQAAcRQAAIslAACMJQAAcxQAAI4lAADlGgAAdhQAAJElAACSJQAAeBQAAJQlAAC+IAAAexQAAJclAADqGgAAfhQAAJolAACbJQAAgBQAAJ0lAAB3HgAAgxQAAKAlAADvGgAAhhQAAKMlAACkJQAAiBQAAKYlAACnJQAAihQAAKklAADzGgAAjRQAAKwlAACtJQAAjxQAAK8lAACwJQAAkRQAALIlAAD3GgAAlBQAALUlAAC2JQAAlhQAALglAACBHgAAmRQAALslAAD8GgAAnBQAAL4lAAC/JQAAnhQAAMElAADCJQAAoBQAAMQlAAAAGwAAoxQAAMclAADIJQAApRQAAMolAACcIgAAqBQAAMwlAAAFGwAAqxQAAM8lAADQJQAArRQAANIlAACMHgAAsBQAANUlAAAKGwAAsxQAANglAADZJQAAtRQAANslAADcJQAAtxQAAN4lAAAOGwAAuhQAAOElAADiJQAAvBQAAOQlAADbIAAAvxQAAOclAAATGwAAwhQAAOolAADrJQAAxBQAAO0lAACXHgAAxxQAAPAlAAAYGwAAyhQAAPMlAAD0JQAAzBQAAPYlAAD3JQAAzhQAAPklAAAcGwAA0RQAAPwlAAD9JQAA0xQAAP8lAAAAJgAA1RQAAAImAAAgGwAA2BQAAAUmAAAGJgAA2hQAAAgmAAChHgAA3RQAAAsmAAAlGwAA4BQAAA4mAAAPJgAA4hQAABEmAAASJgAA5BQAABQmAAApGwAA5xQAABcmAAAYJgAA6RQAABomAAA/IwAA6xQAAB4mAAAtGwAA7hQAACEmAAAiJgAA8BQAACQmAACrHgAA8xQAACcmAAAyGwAA9hQAAComAAArJgAA+BQAAC0mAAAuJgAA+hQAADAmAAA2GwAA/RQAADMmAAA0JgAA/xQAADYmAAD3IAAAAhUAADkmAAA7GwAABRUAADwmAAA9JgAABxUAAD8mAAC2HgAAChUAAEImAABAGwAADRUAAEUmAABGJgAADxUAAEgmAABJJgAAERUAAEsmAABEGwAAFBUAAE4mAABPJgAAFhUAAFEmAABSJgAAGBUAAFQmAABIGwAAGxUAAFcmAABYJgAAHRUAAFomAADAHgAAIBUAAF0mAABNGwAAIxUAAGAmAABhJgAAJRUAAGMmAABkJgAAJxUAAGYmAABRGwAAKhUAAGkmAABqJgAALBUAAGwmAACRIwAALxUAAG4mAABWGwAAMhUAAHEmAAByJgAANBUAAHQmAADLHgAANxUAAHcmAABbGwAAOhUAAHomAAB7JgAAPBUAAH0mAAB+JgAAPhUAAIAmAABfGwAAQRUAAIMmAACEJgAAQxUAAIYmAAAUIQAARhUAAIkmAABkGwAASRUAAIwmAACNJgAASxUAAI8mAADWHgAAThUAAJImAABpGwAAURUAAJUmAACWJgAAUxUAAJgmAACZJgAAVRUAAJsmAABtGwAAWBUAAJ4mAACfJgAAWhUAAKEmAACiJgAAXBUAAKQmAABxGwAAXxUAAKcmAACoJgAAYRUAAKomAADgHgAAZBUAAK0mAAB2GwAAZxUAALAmAACxJgAAaRUAALMmAAC0JgAAaxUAALYmAAB6GwAAbhUAALkmAAC6JgAAcBUAALwmAAA0JAAAcxUAAMAmAAB/GwAAdhUAAMMmAADEJgAAeBUAAMYmAADrHgAAexUAAMkmAACEGwAAfhUAAMwmAADNJgAAgBUAAM8mAADQJgAAghUAANImAACIGwAAhRUAANUmAADWJgAAhxUAANgmAAAxIQAAihUAANsmAACNGwAAjRUAAN4mAADfJgAAjxUAAOEmAAD2HgAAkhUAAOQmAACSGwAAlRUAAOcmAADoJgAAlxUAAOomAADrJgAAmRUAAO0mAACWGwAAnBUAAPAmAADxJgAAnhUAAPMmAAD0JgAAoBUAAPYmAACaGwAAoxUAAPkmAAD6JgAApRUAAPwmAAAAHwAAqBUAAP8mAACfGwAAqxUAAAInAAADJwAArRUAAAUnAAAGJwAArxUAAAgnAACjGwAAshUAAAsnAAAMJwAAtBUAAA4nAADXJAAAtxUAABEnAACoGwAAuhUAABQnAAAVJwAAvBUAABcnAAALHwAAvxUAABonAACtGwAAwhUAAB0nAAAeJwAAxBUAACAnAAAhJwAAxhUAACMnAACxGwAAyRUAACYnAAAnJwAAyxUAACknAABOIQAAzhUAACwnAAC2GwAA0RUAAC8nAAAwJwAA0xUAADInAAAWHwAA1hUAADUnAAC7GwAA2RUAADgnAAA5JwAA2xUAADsnAAA8JwAA3RUAAD4nAAC/GwAA4BUAAEEnAABCJwAA4hUAAEQnAABFJwAA5BUAAEcnAADDGwAA5xUAAEonAABLJwAA6RUAAE0nAAAgHwAA7BUAAFAnAADIGwAA7xUAAFMnAABUJwAA8RUAAFYnAABXJwAA8xUAAFknAADMGwAA9hUAAFwnAABdJwAA+BUAAF8nAAB6JQAA+xUAAGInAADRGwAA/hUAAGUnAABmJwAAABYAAGgnAAArHwAAAxYAAGsnAADWGwAABhYAAG4nAABvJwAACBYAAHEnAAByJwAAChYAAHQnAADaGwAADRYAAHcnAAB4JwAADxYAAHonAABrIQAAEhYAAH0nAADfGwAAFRYAAIAnAACBJwAAFxYAAIMnAAA2HwAAGhYAAIYnAADkGwAAHRYAAIknAACKJwAAHxYAAIwnAACNJwAAIRYAAI8nAADoGwAAJBYAAJInAACTJwAAJhYAAJUnAACWJwAAKBYAAJgnAADsGwAAKxYAAJsnAACcJwAALRYAAJ4nAABAHwAAMBYAAKEnAADxGwAAMxYAAKQnAAClJwAANRYAAKcnAACoJwAANxYAAKonAAD1GwAAOhYAAK0nAACuJwAAPBYAALAnAAAcJgAAPxYAALMnAAD6GwAAQhYAALYnAAC3JwAARBYAALknAABLHwAARxYAALwnAAD/GwAAShYAAL8nAADAJwAATBYAAMInAADDJwAAThYAAMUnAAADHAAAURYAAMgnAADJJwAAUxYAAMsnAACIIQAAVhYAAM4nAAAIHAAAWRYAANEnAADSJwAAWxYAANQnAABWHwAAXhYAANcnAAANHAAAYRYAANonAADbJwAAYxYAAN0nAADeJwAAZRYAAOAnAAARHAAAaBYAAOMnAADkJwAAahYAAOYnAADnJwAAbBYAAOknAAAVHAAAbxYAAOwnAADtJwAAcRYAAO8nAABgHwAAdBYAAPInAAAaHAAAdxYAAPUnAAD2JwAAeRYAAPgnAAD5JwAAexYAAPsnAAAeHAAAfhYAAP4nAAD/JwAAgBYAAAEoAACCAgAAAgoAAAMKAACFAgAABQoAAAYKAACHAgAABwoAAAgKAACJAgAACQoAAAoKAACEAgAABAoAAAsKAACMAgAADAoAAA0KAACPAgAADwoAABAKAACRAgAAEQoAABIKAACTAgAAEwoAABQKAACWAgAAFgoAABcKAACYAgAAGAoAABkKAACbAgAAGwoAABwKAACdAgAAHQoAAB4KAACgAgAAIAoAACEKAACiAgAAIgoAACMKAAClAgAAJQoAACYKAACoAgAAKAoAACkKAACrAgAAKwoAACwKAACuAgAALgoAAC8KAACxAgAAMQoAADIKAAC0AgAANAoAADUKAAC3AgAANwoAADgKAAC5AgAAOQoAADoKAAC8AgAAPAoAAD0KAAC/AgAAPwoAAEAKAADBAgAAQQoAAEIKAADDAgAAQwoAAEQKAADGAgAARgoAAEcKAADIAgAASAoAAEkKAADKAgAASgoAAEsKAADNAgAATQoAAE4KAADPAgAATwoAAFAKAAC7AgAAOwoAAFEKAADTAgAAUwoAAFQKAADVAgAAVQoAAFYKAADXAgAAVwoAAFgKAADaAgAAWgoAAFsKAADcAgAAXAoAAF0KAADfAgAAXwoAAGAKAADiAgAAYgoAAGMKAADkAgAAZAoAAGUKAADmAgAAZgoAAGcKAADpAgAAaQoAAGoKAADrAgAAawoAAGwKAADtAgAAbQoAAG4KAADwAgAAcAoAAHEKAADyAgAAcgoAAHMKAAD1AgAAdQoAAHYKAAD4AgAAeAoAAHkKAAD6AgAAegoAAHsKAAD8AgAAfAoAAH0KAAD/AgAAfwoAAIAKAAABAwAAgQoAAIIKAAAEAwAAhAoAAIUKAAAHAwAAhwoAAIgKAAAJAwAAiQoAAIoKAAALAwAAiwoAAIwKAAAOAwAAjgoAAI8KAAAQAwAAkAoAAJEKAAATAwAAkwoAAJQKAAAWAwAAlgoAAJcKAAAYAwAAmAoAAJkKAAAaAwAAmgoAAJsKAAAdAwAAnQoAAJ4KAAAfAwAAnwoAAKAKAAAiAwAAogoAAKMKAAAlAwAApQoAAKYKAAAnAwAApwoAAKgKAAAqAwAAqgoAAKsKAAAtAwAArQoAAK4KAAAvAwAArwoAALAKAAAyAwAAsgoAALMKAAA1AwAAtQoAALYKAAA3AwAAtwoAALgKAAA6AwAAugoAALsKAAA9AwAAvQoAAL4KAAA/AwAAvwoAAMAKAABCAwAAwgoAAMMKAABFAwAAxQoAAMYKAABHAwAAxwoAAMgKAABKAwAAygoAAMsKAABNAwAAzQoAAM4KAABPAwAAzwoAANAKAABSAwAA0goAANMKAABVAwAA1QoAANYKAABXAwAA1woAANgKAABZAwAA2QoAANoKAABcAwAA3AoAAN0KAABeAwAA3goAAN8KAABgAwAA4AoAAOEKAABjAwAA4woAAOQKAABlAwAA5QoAAOYKAABRAwAA0QoAAOcKAABpAwAA6QoAAOoKAABrAwAA6woAAOwKAABtAwAA7QoAAO4KAABwAwAA8AoAAPEKAAByAwAA8goAAPMKAAB1AwAA9QoAAPYKAAB4AwAA+AoAAPkKAAB6AwAA+goAAPsKAAB8AwAA/AoAAP0KAAB/AwAA/woAAAALAACBAwAAAQsAAAILAACDAwAAAwsAAAQLAACGAwAABgsAAAcLAACIAwAACAsAAAkLAACLAwAACwsAAAwLAACOAwAADgsAAA8LAACQAwAAEAsAABELAACSAwAAEgsAABMLAACVAwAAFQsAABYLAACXAwAAFwsAABgLAACaAwAAGgsAABsLAACdAwAAHQsAAB4LAACfAwAAHwsAACALAAChAwAAIQsAACILAACkAwAAJAsAACULAACmAwAAJgsAACcLAACpAwAAKQsAACoLAACsAwAALAsAAC0LAACuAwAALgsAAC8LAACwAwAAMAsAADELAACzAwAAMwsAADQLAAC1AwAANQsAADYLAAC4AwAAOAsAADkLAAC7AwAAOwsAADwLAAC9AwAAPQsAAD4LAADAAwAAQAsAAEELAADDAwAAQwsAAEQLAADFAwAARQsAAEYLAADIAwAASAsAAEkLAADLAwAASwsAAEwLAADNAwAATQsAAE4LAADQAwAAUAsAAFELAADTAwAAUwsAAFQLAADVAwAAVQsAAFYLAADYAwAAWAsAAFkLAADbAwAAWwsAAFwLAADdAwAAXQsAAF4LAADgAwAAYAsAAGELAADjAwAAYwsAAGQLAADlAwAAZQsAAGYLAADoAwAAaAsAAGkLAADrAwAAawsAAGwLAADtAwAAbQsAAG4LAADvAwAAbwsAAHALAADyAwAAcgsAAHMLAAD0AwAAdAsAAHULAAD3AwAAdwsAAHgLAAD6AwAAegsAAHsLAAD8AwAAfAsAAH0LAAD/AwAAfwsAAIALAAACBAAAggsAAIMLAAAEBAAAhAsAAIULAAAGBAAAhgsAAIcLAAAJBAAAiQsAAIoLAAALBAAAiwsAAIwLAAANBAAAjQsAAI4LAAAQBAAAkAsAAJELAAASBAAAkgsAAJMLAAAVBAAAlQsAAJYLAAAYBAAAmAsAAJkLAAAaBAAAmgsAAJsLAAAcBAAAnAsAAJ0LAAAfBAAAnwsAAKALAAAhBAAAoQsAAKILAAAjBAAAowsAAKQLAAAmBAAApgsAAKcLAAAoBAAAqAsAAKkLAAArBAAAqwsAAKwLAAAuBAAArgsAAK8LAAAwBAAAsAsAALELAAAyBAAAsgsAALMLAAA1BAAAtQsAALYLAAA3BAAAtwsAALgLAAD2AwAAdgsAALkLAAA7BAAAuwsAALwLAAA9BAAAvQsAAL4LAABABAAAwAsAAMELAABDBAAAwwsAAMQLAABFBAAAxQsAAMYLAABHBAAAxwsAAMgLAABKBAAAygsAAMsLAABMBAAAzAsAAM0LAABOBAAAzgsAAM8LAABRBAAA0QsAANILAABTBAAA0wsAANQLAABWBAAA1gsAANcLAABZBAAA2QsAANoLAABbBAAA2wsAANwLAABdBAAA3QsAAN4LAABgBAAA4AsAAOELAABiBAAA4gsAAOMLAABlBAAA5QsAAOYLAABoBAAA6AsAAOkLAABqBAAA6gsAAOsLAABtBAAA7QsAAO4LAABwBAAA8AsAAPELAAByBAAA8gsAAPMLAAB0BAAA9AsAAPULAAB3BAAA9wsAAPgLAAB5BAAA+QsAAPoLAAB7BAAA+wsAAPwLAAB+BAAA/gsAAP8LAACABAAAAAwAAAEMAACDBAAAAwwAAAQMAACGBAAABgwAAAcMAACIBAAACAwAAAkMAACKBAAACgwAAAsMAACNBAAADQwAAA4MAACPBAAADwwAABAMAACRBAAAEQwAABIMAACUBAAAFAwAABUMAACWBAAAFgwAABcMAACZBAAAGQwAABoMAACcBAAAHAwAAB0MAACeBAAAHgwAAB8MAACgBAAAIAwAACEMAACjBAAAIwwAACQMAAClBAAAJQwAACYMAACoBAAAKAwAACkMAACrBAAAKwwAACwMAACtBAAALQwAAC4MAACwBAAAMAwAADEMAACzBAAAMwwAADQMAAC1BAAANQwAADYMAAC3BAAANwwAADgMAAC6BAAAOgwAADsMAAC8BAAAPAwAAD0MAAC+BAAAPgwAAD8MAADBBAAAQQwAAEIMAADDBAAAQwwAAEQMAADGBAAARgwAAEcMAADJBAAASQwAAEoMAADLBAAASwwAAEwMAADNBAAATQwAAE4MAADQBAAAUAwAAFEMAADSBAAAUgwAAFMMAADVBAAAVQwAAFYMAADYBAAAWAwAAFkMAADaBAAAWgwAAFsMAADdBAAAXQwAAF4MAADgBAAAYAwAAGEMAADiBAAAYgwAAGMMAADkBAAAZAwAAGUMAADnBAAAZwwAAGgMAADpBAAAaQwAAGoMAADrBAAAawwAAGwMAADuBAAAbgwAAG8MAADwBAAAcAwAAHEMAADzBAAAcwwAAHQMAAD2BAAAdgwAAHcMAAD4BAAAeAwAAHkMAAD6BAAAegwAAHsMAAD9BAAAfQwAAH4MAAD/BAAAfwwAAIAMAAACBQAAggwAAIMMAAAFBQAAhQwAAIYMAAAHBQAAhwwAAIgMAAAKBQAAigwAAIsMAAANBQAAjQwAAI4MAAAPBQAAjwwAAJAMAAARBQAAkQwAAJIMAAAUBQAAlAwAAJUMAAAWBQAAlgwAAJcMAAAYBQAAmAwAAJkMAAAbBQAAmwwAAJwMAAAdBQAAnQwAAJ4MAAAgBQAAoAwAAKEMAAAjBQAAowwAAKQMAAAlBQAApQwAAKYMAAAnBQAApwwAAKgMAAAqBQAAqgwAAKsMAAAsBQAArAwAAK0MAAAvBQAArwwAALAMAAAyBQAAsgwAALMMAAA0BQAAtAwAALUMAAA3BQAAtwwAALgMAAA6BQAAugwAALsMAAA8BQAAvAwAAL0MAAA+BQAAvgwAAL8MAABBBQAAwQwAAMIMAABDBQAAwwwAAMQMAABGBQAAxgwAAMcMAABJBQAAyQwAAMoMAABLBQAAywwAAMwMAABOBQAAzgwAAM8MAABRBQAA0QwAANIMAABTBQAA0wwAANQMAABVBQAA1QwAANYMAABYBQAA2AwAANkMAABaBQAA2gwAANsMAABdBQAA3QwAAN4MAABgBQAA4AwAAOEMAABiBQAA4gwAAOMMAABlBQAA5QwAAOYMAABoBQAA6AwAAOkMAABqBQAA6gwAAOsMAABsBQAA7AwAAO0MAABvBQAA7wwAAPAMAABxBQAA8QwAAPIMAAB0BQAA9AwAAPUMAAB3BQAA9wwAAPgMAAB5BQAA+QwAAPoMAAB8BQAA/AwAAP0MAAB/BQAA/wwAAAANAACBBQAAAQ0AAAINAACDBQAAAw0AAAQNAACGBQAABg0AAAcNAACIBQAACA0AAAkNAACLBQAACw0AAAwNAACOBQAADg0AAA8NAACQBQAAEA0AABENAACTBQAAEw0AABQNAACWBQAAFg0AABcNAACYBQAAGA0AABkNAACaBQAAGg0AABsNAACdBQAAHQ0AAB4NAACfBQAAHw0AACANAACiBQAAIg0AACMNAACDAgAAJQ0AACYNAAClBQAAJw0AACgNAACnBQAAKg0AACsNAACGAgAALQ0AAC4NAACqBQAALw0AADANAACrBQAAMQ0AADINAACIAgAANA0AADUNAACuBQAANg0AADcNAACvBQAAOA0AADkNAACKAgAAOw0AADwNAACyBQAAPQ0AAD4NAACmBQAAKQ0AAD8NAACLAgAAQQ0AAEINAAC1BQAAQw0AAEQNAAC2BQAARQ0AAEYNAACNAgAASA0AAEkNAAC5BQAASg0AAEsNAAC7BQAATQ0AAE4NAACQAgAAUA0AAFENAAC+BQAAUg0AAFMNAAC/BQAAVA0AAFUNAACSAgAAVw0AAFgNAADCBQAAWQ0AAFoNAADDBQAAWw0AAFwNAACUAgAAXg0AAF8NAADGBQAAYA0AAGENAADIBQAAYw0AAGQNAACXAgAAZg0AAGcNAADLBQAAaA0AAGkNAADMBQAAag0AAGsNAACZAgAAbQ0AAG4NAADPBQAAbw0AAHANAADRBQAAcg0AAHMNAACcAgAAdQ0AAHYNAADUBQAAdw0AAHgNAADVBQAAeQ0AAHoNAACeAgAAfA0AAH0NAADYBQAAfg0AAH8NAADaBQAAgQ0AAIINAAChAgAAhA0AAIUNAADdBQAAhg0AAIcNAADeBQAAiA0AAIkNAACjAgAAiw0AAIwNAADhBQAAjQ0AAI4NAADjBQAAkA0AAJENAACmAgAAkw0AAJQNAADmBQAAlQ0AAJYNAADoBQAAmA0AAJkNAACpAgAAmw0AAJwNAADrBQAAnQ0AAJ4NAADtBQAAoA0AAKENAACsAgAAow0AAKQNAADwBQAApQ0AAKYNAADyBQAAqA0AAKkNAACvAgAAqw0AAKwNAAD1BQAArQ0AAK4NAAD3BQAAsA0AALENAACyAgAAsw0AALQNAAD6BQAAtQ0AALYNAAD8BQAAuA0AALkNAAC1AgAAuw0AALwNAAD/BQAAvQ0AAL4NAAABBgAAwA0AAMENAAC4AgAAww0AAMQNAAAEBgAAxQ0AAMYNAAAFBgAAxw0AAMgNAAC6AgAAyg0AAMsNAAAIBgAAzA0AAM0NAAAKBgAAzw0AANANAAC9AgAA0g0AANMNAAANBgAA1A0AANUNAAAPBgAA1w0AANgNAADAAgAA2g0AANsNAAASBgAA3A0AAN0NAAATBgAA3g0AAN8NAADCAgAA4Q0AAOINAAAWBgAA4w0AAOQNAAAXBgAA5Q0AAOYNAADEAgAA6A0AAOkNAAAaBgAA6g0AAOsNAAAcBgAA7Q0AAO4NAADHAgAA8A0AAPENAAAfBgAA8g0AAPMNAAAgBgAA9A0AAPUNAADJAgAA9w0AAPgNAAAjBgAA+Q0AAPoNAAAkBgAA+w0AAPwNAADLAgAA/g0AAP8NAAAnBgAAAA4AAAEOAAApBgAAAw4AAAQOAADOAgAABg4AAAcOAAAsBgAACA4AAAkOAAAtBgAACg4AAAsOAADQAgAADQ4AAA4OAAAwBgAADw4AABAOAAAJBgAAzg0AABEOAADRAgAAEw4AABQOAAAzBgAAFQ4AABYOAAA1BgAAGA4AABkOAADUAgAAGw4AABwOAAA4BgAAHQ4AAB4OAAA5BgAAHw4AACAOAADWAgAAIg4AACMOAAA8BgAAJA4AACUOAAA9BgAAJg4AACcOAADYAgAAKQ4AACoOAABABgAAKw4AACwOAABCBgAALg4AAC8OAADbAgAAMQ4AADIOAABFBgAAMw4AADQOAABGBgAANQ4AADYOAADdAgAAOA4AADkOAABJBgAAOg4AADsOAABLBgAAPQ4AAD4OAADgAgAAQA4AAEEOAABOBgAAQg4AAEMOAABQBgAARQ4AAEYOAADjAgAASA4AAEkOAABTBgAASg4AAEsOAABUBgAATA4AAE0OAADlAgAATw4AAFAOAABXBgAAUQ4AAFIOAABYBgAAUw4AAFQOAADnAgAAVg4AAFcOAABbBgAAWA4AAFkOAABdBgAAWw4AAFwOAADqAgAAXg4AAF8OAABgBgAAYA4AAGEOAABhBgAAYg4AAGMOAADsAgAAZQ4AAGYOAABkBgAAZw4AAGgOAABlBgAAaQ4AAGoOAADuAgAAbA4AAG0OAABoBgAAbg4AAG8OAABqBgAAcQ4AAHIOAADxAgAAdA4AAHUOAABtBgAAdg4AAHcOAABuBgAAeA4AAHkOAADzAgAAew4AAHwOAABxBgAAfQ4AAH4OAABzBgAAgA4AAIEOAAD2AgAAgw4AAIQOAAB2BgAAhQ4AAIYOAAB4BgAAiA4AAIkOAAD5AgAAiw4AAIwOAAB7BgAAjQ4AAI4OAAB8BgAAjw4AAJAOAAD7AgAAkg4AAJMOAAB/BgAAlA4AAJUOAACABgAAlg4AAJcOAAD9AgAAmQ4AAJoOAACDBgAAmw4AAJwOAACFBgAAng4AAJ8OAAAAAwAAoQ4AAKIOAACIBgAAow4AAKQOAACJBgAApQ4AAKYOAAACAwAAqA4AAKkOAACMBgAAqg4AAKsOAACOBgAArQ4AAK4OAAAFAwAAsA4AALEOAACRBgAAsg4AALMOAACTBgAAtQ4AALYOAAAIAwAAuA4AALkOAACWBgAAug4AALsOAACXBgAAvA4AAL0OAAAKAwAAvw4AAMAOAACaBgAAwQ4AAMIOAACbBgAAww4AAMQOAAAMAwAAxg4AAMcOAACeBgAAyA4AAMkOAACgBgAAyw4AAMwOAAAPAwAAzg4AAM8OAACjBgAA0A4AANEOAACkBgAA0g4AANMOAAARAwAA1Q4AANYOAACnBgAA1w4AANgOAACpBgAA2g4AANsOAAAUAwAA3Q4AAN4OAACsBgAA3w4AAOAOAACuBgAA4g4AAOMOAAAXAwAA5Q4AAOYOAACxBgAA5w4AAOgOAACyBgAA6Q4AAOoOAAAZAwAA7A4AAO0OAAC1BgAA7g4AAO8OAAC2BgAA8A4AAPEOAAAbAwAA8w4AAPQOAAC5BgAA9Q4AAPYOAAC7BgAA+A4AAPkOAAAeAwAA+w4AAPwOAAC+BgAA/Q4AAP4OAAC/BgAA/w4AAAAPAAAgAwAAAg8AAAMPAADCBgAABA8AAAUPAADEBgAABw8AAAgPAAAjAwAACg8AAAsPAADHBgAADA8AAA0PAADJBgAADw8AABAPAAAmAwAAEg8AABMPAADMBgAAFA8AABUPAADNBgAAFg8AABcPAAAoAwAAGQ8AABoPAADQBgAAGw8AABwPAADSBgAAHg8AAB8PAAArAwAAIQ8AACIPAADVBgAAIw8AACQPAADXBgAAJg8AACcPAAAuAwAAKQ8AACoPAADaBgAAKw8AACwPAADbBgAALQ8AAC4PAAAwAwAAMA8AADEPAADeBgAAMg8AADMPAADgBgAANQ8AADYPAAAzAwAAOA8AADkPAADjBgAAOg8AADsPAADlBgAAPQ8AAD4PAAA2AwAAQA8AAEEPAADoBgAAQg8AAEMPAADpBgAARA8AAEUPAAA4AwAARw8AAEgPAADsBgAASQ8AAEoPAADuBgAATA8AAE0PAAA7AwAATw8AAFAPAADxBgAAUQ8AAFIPAADzBgAAVA8AAFUPAAA+AwAAVw8AAFgPAAD2BgAAWQ8AAFoPAAD3BgAAWw8AAFwPAABAAwAAXg8AAF8PAAD6BgAAYA8AAGEPAAD8BgAAYw8AAGQPAABDAwAAZg8AAGcPAAD/BgAAaA8AAGkPAAABBwAAaw8AAGwPAABGAwAAbg8AAG8PAAAEBwAAcA8AAHEPAAAFBwAAcg8AAHMPAABIAwAAdQ8AAHYPAAAIBwAAdw8AAHgPAAAKBwAAeg8AAHsPAABLAwAAfQ8AAH4PAAANBwAAfw8AAIAPAACjBQAAgg8AAIMPAABOAwAAhQ8AAIYPAAAQBwAAhw8AAIgPAAARBwAAiQ8AAIoPAABQAwAAjA8AAI0PAAATBwAAjg8AAI8PAAAVBwAAkQ8AAJIPAABTAwAAlA8AAJUPAAAYBwAAlg8AAJcPAACoBQAAmQ8AAJoPAABWAwAAnA8AAJ0PAAAbBwAAng8AAJ8PAAAcBwAAoA8AAKEPAABYAwAAow8AAKQPAAAeBwAApQ8AAKYPAAAfBwAApw8AAKgPAABaAwAAqg8AAKsPAAAiBwAArA8AAK0PAACsBQAArw8AALAPAABdAwAAsg8AALMPAAAlBwAAtA8AALUPAAAmBwAAtg8AALcPAABfAwAAuQ8AALoPAAAoBwAAuw8AALwPAAApBwAAvQ8AAL4PAABhAwAAwA8AAMEPAAAsBwAAwg8AAMMPAACwBQAAxQ8AAMYPAABkAwAAyA8AAMkPAAAvBwAAyg8AAMsPAAAwBwAAzA8AAM0PAABmAwAAzw8AANAPAAAyBwAA0Q8AANIPAAAUBwAAkA8AANMPAABnAwAA1Q8AANYPAAA1BwAA1w8AANgPAACzBQAA2g8AANsPAABqAwAA3Q8AAN4PAAA4BwAA3w8AAOAPAAA5BwAA4Q8AAOIPAABsAwAA5A8AAOUPAAA7BwAA5g8AAOcPAAA8BwAA6A8AAOkPAABuAwAA6w8AAOwPAAA/BwAA7Q8AAO4PAAC3BQAA8A8AAPEPAABxAwAA8w8AAPQPAABCBwAA9Q8AAPYPAABDBwAA9w8AAPgPAABzAwAA+g8AAPsPAABFBwAA/A8AAP0PAABHBwAA/w8AAAAQAAB2AwAAAhAAAAMQAABKBwAABBAAAAUQAAC8BQAABxAAAAgQAAB5AwAAChAAAAsQAABNBwAADBAAAA0QAABOBwAADhAAAA8QAAB7AwAAERAAABIQAABQBwAAExAAABQQAABRBwAAFRAAABYQAAB9AwAAGBAAABkQAABUBwAAGhAAABsQAADABQAAHRAAAB4QAACAAwAAIBAAACEQAABXBwAAIhAAACMQAABYBwAAJBAAACUQAACCAwAAJxAAACgQAABaBwAAKRAAACoQAABbBwAAKxAAACwQAACEAwAALhAAAC8QAABeBwAAMBAAADEQAADEBQAAMxAAADQQAACHAwAANhAAADcQAABhBwAAOBAAADkQAABiBwAAOhAAADsQAACJAwAAPRAAAD4QAABkBwAAPxAAAEAQAABmBwAAQhAAAEMQAACMAwAARRAAAEYQAABpBwAARxAAAEgQAADJBQAAShAAAEsQAACPAwAATRAAAE4QAABsBwAATxAAAFAQAABtBwAAURAAAFIQAACRAwAAVBAAAFUQAABvBwAAVhAAAFcQAABwBwAAWBAAAFkQAACTAwAAWxAAAFwQAABzBwAAXRAAAF4QAADNBQAAYBAAAGEQAACWAwAAYxAAAGQQAAB2BwAAZRAAAGYQAAB3BwAAZxAAAGgQAACYAwAAahAAAGsQAAB5BwAAbBAAAG0QAAB7BwAAbxAAAHAQAACbAwAAchAAAHMQAAB+BwAAdBAAAHUQAADSBQAAdxAAAHgQAACeAwAAehAAAHsQAACBBwAAfBAAAH0QAACCBwAAfhAAAH8QAACgAwAAgRAAAIIQAACEBwAAgxAAAIQQAACFBwAAhRAAAIYQAACiAwAAiBAAAIkQAACIBwAAihAAAIsQAADWBQAAjRAAAI4QAAClAwAAkBAAAJEQAACLBwAAkhAAAJMQAACMBwAAlBAAAJUQAACnAwAAlxAAAJgQAACOBwAAmRAAAJoQAACQBwAAnBAAAJ0QAACqAwAAnxAAAKAQAACTBwAAoRAAAKIQAADbBQAApBAAAKUQAACtAwAApxAAAKgQAACWBwAAqRAAAKoQAACXBwAAqxAAAKwQAACvAwAArhAAAK8QAACZBwAAsBAAALEQAACaBwAAshAAALMQAACxAwAAtRAAALYQAACdBwAAtxAAALgQAADfBQAAuhAAALsQAAC0AwAAvRAAAL4QAACgBwAAvxAAAMAQAAChBwAAwRAAAMIQAAC2AwAAxBAAAMUQAACjBwAAxhAAAMcQAAClBwAAyRAAAMoQAAC5AwAAzBAAAM0QAACoBwAAzhAAAM8QAADkBQAA0RAAANIQAAC8AwAA1BAAANUQAACrBwAA1hAAANcQAACsBwAA2BAAANkQAAC+AwAA2xAAANwQAACuBwAA3RAAAN4QAACwBwAA4BAAAOEQAADBAwAA4xAAAOQQAACzBwAA5RAAAOYQAADpBQAA6BAAAOkQAADEAwAA6xAAAOwQAAC2BwAA7RAAAO4QAAC3BwAA7xAAAPAQAADGAwAA8hAAAPMQAAC5BwAA9BAAAPUQAAC7BwAA9xAAAPgQAADJAwAA+hAAAPsQAAC+BwAA/BAAAP0QAADuBQAA/xAAAAARAADMAwAAAhEAAAMRAADBBwAABBEAAAURAADCBwAABhEAAAcRAADOAwAACREAAAoRAADEBwAACxEAAAwRAADGBwAADhEAAA8RAADRAwAAEREAABIRAADJBwAAExEAABQRAADzBQAAFhEAABcRAADUAwAAGREAABoRAADMBwAAGxEAABwRAADNBwAAHREAAB4RAADWAwAAIBEAACERAADPBwAAIhEAACMRAADRBwAAJREAACYRAADZAwAAKBEAACkRAADUBwAAKhEAACsRAAD4BQAALREAAC4RAADcAwAAMBEAADERAADXBwAAMhEAADMRAADYBwAANBEAADURAADeAwAANxEAADgRAADaBwAAOREAADoRAADcBwAAPBEAAD0RAADhAwAAPxEAAEARAADfBwAAQREAAEIRAAD9BQAARBEAAEURAADkAwAARxEAAEgRAADiBwAASREAAEoRAADjBwAASxEAAEwRAADmAwAAThEAAE8RAADlBwAAUBEAAFERAAALBwAAUxEAAFQRAADpAwAAVhEAAFcRAADoBwAAWBEAAFkRAAACBgAAWxEAAFwRAADsAwAAXhEAAF8RAADrBwAAYBEAAGERAADsBwAAYhEAAGMRAADuAwAAZREAAGYRAADuBwAAZxEAAGgRAADvBwAAaREAAGoRAADwAwAAbBEAAG0RAADxBwAAbhEAAG8RAAAGBgAAcREAAHIRAADzAwAAdBEAAHURAAD0BwAAdhEAAHcRAAD1BwAAeBEAAHkRAAD1AwAAexEAAHwRAAD3BwAAfREAAH4RAAD5BwAAgBEAAIERAAD4AwAAgxEAAIQRAAD8BwAAhREAAIYRAAALBgAAiBEAAIkRAAD7AwAAixEAAIwRAAD/BwAAjREAAI4RAAAACAAAjxEAAJARAAD9AwAAkhEAAJMRAAACCAAAlBEAAJURAAAWBwAAlxEAAJgRAAAABAAAmhEAAJsRAAAFCAAAnBEAAJ0RAAAQBgAAnxEAAKARAAADBAAAohEAAKMRAAAICAAApBEAAKURAAAJCAAAphEAAKcRAAAFBAAAqREAAKoRAAALCAAAqxEAAKwRAAAMCAAArREAAK4RAAAHBAAAsBEAALERAAAOCAAAshEAALMRAAAUBgAAtREAALYRAAAKBAAAuBEAALkRAAARCAAAuhEAALsRAAASCAAAvBEAAL0RAAAMBAAAvxEAAMARAAAUCAAAwREAAMIRAAAVCAAAwxEAAMQRAAAOBAAAxhEAAMcRAAAYCAAAyBEAAMkRAAAYBgAAyxEAAMwRAAARBAAAzhEAAM8RAAAbCAAA0BEAANERAAAcCAAA0hEAANMRAAATBAAA1REAANYRAAAeCAAA1xEAANgRAAAgBwAA2hEAANsRAAAWBAAA3REAAN4RAAAhCAAA3xEAAOARAAAdBgAA4hEAAOMRAAAZBAAA5REAAOYRAAAkCAAA5xEAAOgRAAAlCAAA6REAAOoRAAAbBAAA7BEAAO0RAAAnCAAA7hEAAO8RAAAoCAAA8BEAAPERAAAdBAAA8xEAAPQRAAAqCAAA9REAAPYRAAAhBgAA+BEAAPkRAAAgBAAA+xEAAPwRAAAtCAAA/REAAP4RAAAuCAAA/xEAAAASAAAiBAAAAhIAAAMSAAAwCAAABBIAAAUSAAAxCAAABhIAAAcSAAAkBAAACRIAAAoSAAA0CAAACxIAAAwSAAAlBgAADhIAAA8SAAAnBAAAERIAABISAAA3CAAAExIAABQSAAA4CAAAFRIAABYSAAApBAAAGBIAABkSAAA6CAAAGhIAABsSAAAqBwAAHRIAAB4SAAAsBAAAIBIAACESAAA9CAAAIhIAACMSAAAqBgAAJRIAACYSAAAvBAAAKBIAACkSAABACAAAKhIAACsSAABBCAAALBIAAC0SAAAxBAAALxIAADASAABDCAAAMRIAADISAABECAAAMxIAADQSAAAzBAAANhIAADcSAABGCAAAOBIAADkSAAAuBgAAOxIAADwSAAA2BAAAPhIAAD8SAABJCAAAQBIAAEESAABKCAAAQhIAAEMSAAA4BAAARRIAAEYSAABMCAAARxIAAEgSAAD4BwAAfxEAAEkSAAA5BAAASxIAAEwSAABOCAAATRIAAE4SAAAxBgAAUBIAAFESAAA8BAAAUxIAAFQSAABRCAAAVRIAAFYSAABSCAAAVxIAAFgSAAA+BAAAWhIAAFsSAABUCAAAXBIAAF0SAAAzBwAAXxIAAGASAABBBAAAYhIAAGMSAABXCAAAZBIAAGUSAAA2BgAAZxIAAGgSAABEBAAAahIAAGsSAABaCAAAbBIAAG0SAABbCAAAbhIAAG8SAABGBAAAcRIAAHISAABdCAAAcxIAAHQSAABeCAAAdRIAAHYSAABIBAAAeBIAAHkSAABgCAAAehIAAHsSAAA6BgAAfRIAAH4SAABLBAAAgBIAAIESAABjCAAAghIAAIMSAABkCAAAhBIAAIUSAABNBAAAhxIAAIgSAABmCAAAiRIAAIoSAABoCAAAixIAAIwSAABPBAAAjhIAAI8SAABrCAAAkBIAAJESAAA+BgAAkxIAAJQSAABSBAAAlhIAAJcSAABuCAAAmBIAAJkSAABvCAAAmhIAAJsSAABUBAAAnRIAAJ4SAABxCAAAnxIAAKASAAA9BwAAohIAAKMSAABXBAAApRIAAKYSAAB0CAAApxIAAKgSAABDBgAAqhIAAKsSAABaBAAArRIAAK4SAAB3CAAArxIAALASAAB4CAAAsRIAALISAABcBAAAtBIAALUSAAB6CAAAthIAALcSAAB7CAAAuBIAALkSAABeBAAAuxIAALwSAAB9CAAAvRIAAL4SAABHBgAAwBIAAMESAABhBAAAwxIAAMQSAACACAAAxRIAAMYSAACBCAAAxxIAAMgSAABjBAAAyhIAAMsSAACDCAAAzBIAAM0SAACECAAAzxIAANASAABmBAAA0hIAANMSAACHCAAA1BIAANUSAABMBgAA1xIAANgSAABpBAAA2hIAANsSAACKCAAA3BIAAN0SAACLCAAA3hIAAN8SAABrBAAA4RIAAOISAACNCAAA4xIAAOQSAABIBwAA5hIAAOcSAABuBAAA6RIAAOoSAACQCAAA6xIAAOwSAABRBgAA7hIAAO8SAABxBAAA8RIAAPISAACTCAAA8xIAAPQSAACUCAAA9RIAAPYSAABzBAAA+BIAAPkSAACWCAAA+hIAAPsSAACXCAAA/BIAAP0SAAB1BAAA/xIAAAATAACZCAAAARMAAAITAABVBgAABBMAAAUTAAB4BAAABxMAAAgTAACcCAAACRMAAAoTAACdCAAACxMAAAwTAAB6BAAADhMAAA8TAACfCAAAEBMAABETAADdBwAAEhMAABMTAAB8BAAAFRMAABYTAAChCAAAFxMAABgTAABZBgAAGhMAABsTAAB/BAAAHRMAAB4TAACkCAAAHxMAACATAAClCAAAIRMAACITAACBBAAAJBMAACUTAACnCAAAJhMAACcTAABSBwAAKRMAACoTAACEBAAALBMAAC0TAACqCAAALhMAAC8TAABeBgAAMRMAADITAACHBAAANBMAADUTAACtCAAANhMAADcTAACuCAAAOBMAADkTAACJBAAAOxMAADwTAACwCAAAPRMAAD4TAACxCAAAPxMAAEATAACLBAAAQhMAAEMTAACzCAAARBMAAEUTAABiBgAARxMAAEgTAACOBAAAShMAAEsTAAC2CAAATBMAAE0TAAC3CAAAThMAAE8TAACQBAAAURMAAFITAAC5CAAAUxMAAFQTAAC7CAAAVRMAAFYTAACSBAAAWBMAAFkTAAC+CAAAWhMAAFsTAABmBgAAXRMAAF4TAACVBAAAYBMAAGETAADBCAAAYhMAAGMTAADCCAAAZBMAAGUTAACXBAAAZxMAAGgTAADECAAAaRMAAGoTAABcBwAAbBMAAG0TAACaBAAAbxMAAHATAADHCAAAcRMAAHITAABrBgAAdBMAAHUTAACdBAAAdxMAAHgTAADKCAAAeRMAAHoTAADLCAAAexMAAHwTAACfBAAAfhMAAH8TAADNCAAAgBMAAIETAADOCAAAghMAAIMTAAChBAAAhRMAAIYTAADQCAAAhxMAAIgTAABvBgAAihMAAIsTAACkBAAAjRMAAI4TAADTCAAAjxMAAJATAADUCAAAkRMAAJITAACmBAAAlBMAAJUTAADWCAAAlhMAAJcTAAD6BwAAmRMAAJoTAACpBAAAnBMAAJ0TAADYCAAAnhMAAJ8TAAB0BgAAoRMAAKITAACsBAAApBMAAKUTAADbCAAAphMAAKcTAADcCAAAqBMAAKkTAACuBAAAqxMAAKwTAADeCAAArRMAAK4TAABnBwAAsBMAALETAACxBAAAsxMAALQTAADhCAAAtRMAALYTAAB5BgAAuBMAALkTAAC0BAAAuxMAALwTAADkCAAAvRMAAL4TAADlCAAAvxMAAMATAAC2BAAAwhMAAMMTAADnCAAAxBMAAMUTAADoCAAAxhMAAMcTAAC4BAAAyRMAAMoTAADqCAAAyxMAAMwTAAB9BgAAzhMAAM8TAAC7BAAA0RMAANITAADtCAAA0xMAANQTAADuCAAA1RMAANYTAAC9BAAA2BMAANkTAADwCAAA2hMAANsTAADyCAAA3BMAAN0TAAC/BAAA3xMAAOATAAD1CAAA4RMAAOITAACBBgAA5BMAAOUTAADCBAAA5xMAAOgTAAD4CAAA6RMAAOoTAAD5CAAA6xMAAOwTAADEBAAA7hMAAO8TAAD7CAAA8BMAAPETAABxBwAA8xMAAPQTAADHBAAA9hMAAPcTAAD+CAAA+BMAAPkTAACGBgAA+xMAAPwTAADKBAAA/hMAAP8TAAABCQAAABQAAAEUAAACCQAAAhQAAAMUAADMBAAABRQAAAYUAAAECQAABxQAAAgUAAAFCQAACRQAAAoUAADOBAAADBQAAA0UAAAHCQAADhQAAA8UAACKBgAAERQAABIUAADRBAAAFBQAABUUAAAKCQAAFhQAABcUAAALCQAAGBQAABkUAADTBAAAGxQAABwUAAANCQAAHRQAAB4UAAAWCAAAIBQAACEUAADWBAAAIxQAACQUAAAPCQAAJRQAACYUAACPBgAAKBQAACkUAADZBAAAKxQAACwUAAASCQAALRQAAC4UAAATCQAALxQAADAUAADbBAAAMhQAADMUAAAVCQAANBQAADUUAAB8BwAANxQAADgUAADeBAAAOhQAADsUAAAYCQAAPBQAAD0UAACUBgAAPxQAAEAUAADhBAAAQhQAAEMUAAAbCQAARBQAAEUUAAAcCQAARhQAAEcUAADjBAAASRQAAEoUAAAeCQAASxQAAEwUAAAfCQAATRQAAE4UAADlBAAAUBQAAFEUAAAhCQAAUhQAAFMUAACYBgAAVRQAAFYUAADoBAAAWBQAAFkUAAAkCQAAWhQAAFsUAAAlCQAAXBQAAF0UAADqBAAAXxQAAGAUAAAnCQAAYRQAAGIUAAApCQAAYxQAAGQUAADsBAAAZhQAAGcUAAAsCQAAaBQAAGkUAACcBgAAaxQAAGwUAADvBAAAbhQAAG8UAAAvCQAAcBQAAHEUAAAwCQAAchQAAHMUAADxBAAAdRQAAHYUAAAyCQAAdxQAAHgUAACGBwAAehQAAHsUAAD0BAAAfRQAAH4UAAA1CQAAfxQAAIAUAAChBgAAghQAAIMUAAD3BAAAhRQAAIYUAAA4CQAAhxQAAIgUAAA5CQAAiRQAAIoUAAD5BAAAjBQAAI0UAAA7CQAAjhQAAI8UAAA8CQAAkBQAAJEUAAD7BAAAkxQAAJQUAAA+CQAAlRQAAJYUAAClBgAAmBQAAJkUAAD+BAAAmxQAAJwUAABBCQAAnRQAAJ4UAABCCQAAnxQAAKAUAAAABQAAohQAAKMUAABECQAApBQAAKUUAAAyCAAApxQAAKgUAAADBQAAqhQAAKsUAABGCQAArBQAAK0UAACqBgAArxQAALAUAAAGBQAAshQAALMUAABJCQAAtBQAALUUAABKCQAAthQAALcUAAAIBQAAuRQAALoUAABMCQAAuxQAALwUAACRBwAAvhQAAL8UAAALBQAAwRQAAMIUAABPCQAAwxQAAMQUAACvBgAAxhQAAMcUAAAOBQAAyRQAAMoUAABSCQAAyxQAAMwUAABTCQAAzRQAAM4UAAAQBQAA0BQAANEUAABVCQAA0hQAANMUAABWCQAA1BQAANUUAAASBQAA1xQAANgUAABYCQAA2RQAANoUAACzBgAA3BQAAN0UAAAVBQAA3xQAAOAUAABbCQAA4RQAAOIUAABcCQAA4xQAAOQUAAAXBQAA5hQAAOcUAABeCQAA6BQAAOkUAABpCAAA6hQAAOsUAAAZBQAA7RQAAO4UAABiCQAA7xQAAPAUAAC3BgAA8hQAAPMUAAAcBQAA9RQAAPYUAABlCQAA9xQAAPgUAABmCQAA+RQAAPoUAAAeBQAA/BQAAP0UAABoCQAA/hQAAP8UAACbBwAAARUAAAIVAAAhBQAABBUAAAUVAABrCQAABhUAAAcVAAC8BgAACRUAAAoVAAAkBQAADBUAAA0VAABuCQAADhUAAA8VAABvCQAAEBUAABEVAAAmBQAAExUAABQVAABxCQAAFRUAABYVAAByCQAAFxUAABgVAAAoBQAAGhUAABsVAAB0CQAAHBUAAB0VAADABgAAHxUAACAVAAArBQAAIhUAACMVAAB3CQAAJBUAACUVAAB4CQAAJhUAACcVAAAtBQAAKRUAACoVAAB6CQAAKxUAACwVAACFCAAALhUAAC8VAAAwBQAAMRUAADIVAAB8CQAAMxUAADQVAADFBgAANhUAADcVAAAzBQAAORUAADoVAAB/CQAAOxUAADwVAACACQAAPRUAAD4VAAA1BQAAQBUAAEEVAACCCQAAQhUAAEMVAACmBwAARRUAAEYVAAA4BQAASBUAAEkVAACFCQAAShUAAEsVAADKBgAATRUAAE4VAAA7BQAAUBUAAFEVAACICQAAUhUAAFMVAACJCQAAVBUAAFUVAAA9BQAAVxUAAFgVAACLCQAAWRUAAFoVAACMCQAAWxUAAFwVAAA/BQAAXhUAAF8VAACOCQAAYBUAAGEVAADOBgAAYxUAAGQVAABCBQAAZhUAAGcVAACRCQAAaBUAAGkVAACSCQAAahUAAGsVAABEBQAAbRUAAG4VAACUCQAAbxUAAHAVAAC8CAAAchUAAHMVAABHBQAAdRUAAHYVAACYCQAAdxUAAHgVAADTBgAAehUAAHsVAABKBQAAfRUAAH4VAACbCQAAfxUAAIAVAACcCQAAgRUAAIIVAABMBQAAhBUAAIUVAACeCQAAhhUAAIcVAACxBwAAiRUAAIoVAABPBQAAjBUAAI0VAAChCQAAjhUAAI8VAADYBgAAkRUAAJIVAABSBQAAlBUAAJUVAACkCQAAlhUAAJcVAAClCQAAmBUAAJkVAABUBQAAmxUAAJwVAACnCQAAnRUAAJ4VAACoCQAAnxUAAKAVAABWBQAAohUAAKMVAACqCQAApBUAAKUVAADcBgAApxUAAKgVAABZBQAAqhUAAKsVAACtCQAArBUAAK0VAACuCQAArhUAAK8VAABbBQAAsRUAALIVAACwCQAAsxUAALQVAADzCAAAthUAALcVAABeBQAAuRUAALoVAACzCQAAuxUAALwVAADhBgAAvhUAAL8VAABhBQAAwRUAAMIVAAC2CQAAwxUAAMQVAAC3CQAAxRUAAMYVAABjBQAAyBUAAMkVAAC5CQAAyhUAAMsVAAC8BwAAzRUAAM4VAABmBQAA0BUAANEVAAC8CQAA0hUAANMVAADmBgAA1RUAANYVAABpBQAA2BUAANkVAAC/CQAA2hUAANsVAADACQAA3BUAAN0VAABrBQAA3xUAAOAVAADCCQAA4RUAAOIVAADDCQAA4xUAAOQVAABtBQAA5hUAAOcVAADFCQAA6BUAAOkVAADqBgAA6xUAAOwVAABwBQAA7hUAAO8VAADICQAA8BUAAPEVAADJCQAA8hUAAPMVAAByBQAA9RUAAPYVAADLCQAA9xUAAPgVAAAqCQAA+hUAAPsVAAB1BQAA/RUAAP4VAADOCQAA/xUAAAAWAADvBgAAAhYAAAMWAAB4BQAABRYAAAYWAADRCQAABxYAAAgWAADSCQAACRYAAAoWAAB6BQAADBYAAA0WAADUCQAADhYAAA8WAADHBwAAERYAABIWAAB9BQAAFBYAABUWAADXCQAAFhYAABcWAAD0BgAAGRYAABoWAACABQAAHBYAAB0WAADaCQAAHhYAAB8WAADbCQAAIBYAACEWAACCBQAAIxYAACQWAADdCQAAJRYAACYWAADeCQAAJxYAACgWAACEBQAAKhYAACsWAADgCQAALBYAAC0WAAD4BgAALxYAADAWAACHBQAAMhYAADMWAADjCQAANBYAADUWAADkCQAANhYAADcWAACJBQAAORYAADoWAADmCQAAOxYAADwWAABgCQAAPhYAAD8WAACMBQAAQRYAAEIWAADpCQAAQxYAAEQWAAD9BgAARhYAAEcWAACPBQAASRYAAEoWAADsCQAASxYAAEwWAADtCQAATRYAAE4WAACRBQAAUBYAAFEWAADvCQAAUhYAAFMWAADSBwAAVRYAAFYWAACUBQAAWBYAAFkWAADyCQAAWhYAAFsWAAACBwAAXRYAAF4WAACXBQAAYBYAAGEWAAD1CQAAYhYAAGMWAAD2CQAAZBYAAGUWAACZBQAAZxYAAGgWAAD4CQAAaRYAAGoWAAD5CQAAaxYAAGwWAACbBQAAbhYAAG8WAAD7CQAAcBYAAHEWAAAGBwAAcxYAAHQWAACeBQAAdhYAAHcWAAD+CQAAeBYAAHkWAAD/CQAAehYAAHsWAACgBQAAfRYAAH4WAAABCgAAfxYAAIAWAACiAAAAghYAAIMWAACCAgAAAwoAAIQWAACDAgAAhRYAACUNAAClAAAAhxYAAIgWAACFAgAABgoAAIkWAACGAgAAihYAAC0NAACnAAAAixYAAIwWAACHAgAACAoAAI0WAACIAgAAjhYAADQNAACpAAAAjxYAAJAWAACJAgAACgoAAJEWAACKAgAAkhYAADsNAACkAAAAhhYAAJMWAACEAgAACwoAAJQWAACLAgAAlRYAAEENAACsAAAAlhYAAJcWAACMAgAADQoAAJgWAACNAgAAmRYAAEgNAACvAAAAmxYAAJwWAACPAgAAEAoAAJ0WAACQAgAAnhYAAFANAACxAAAAnxYAAKAWAACRAgAAEgoAAKEWAACSAgAAohYAAFcNAACzAAAAoxYAAKQWAACTAgAAFAoAAKUWAACUAgAAphYAAF4NAAC2AAAAqBYAAKkWAACWAgAAFwoAAKoWAACXAgAAqxYAAGYNAAC4AAAArBYAAK0WAACYAgAAGQoAAK4WAACZAgAArxYAAG0NAAC7AAAAsRYAALIWAACbAgAAHAoAALMWAACcAgAAtBYAAHUNAAC9AAAAtRYAALYWAACdAgAAHgoAALcWAACeAgAAuBYAAHwNAADAAAAAuhYAALsWAACgAgAAIQoAALwWAAChAgAAvRYAAIQNAADCAAAAvhYAAL8WAACiAgAAIwoAAMAWAACjAgAAwRYAAIsNAADFAAAAwxYAAMQWAAClAgAAJgoAAMUWAACmAgAAxhYAAJMNAADIAAAAyBYAAMkWAACoAgAAKQoAAMoWAACpAgAAyxYAAJsNAADLAAAAzRYAAM4WAACrAgAALAoAAM8WAACsAgAA0BYAAKMNAADOAAAA0hYAANMWAACuAgAALwoAANQWAACvAgAA1RYAAKsNAADRAAAA1xYAANgWAACxAgAAMgoAANkWAACyAgAA2hYAALMNAADUAAAA3BYAAN0WAAC0AgAANQoAAN4WAAC1AgAA3xYAALsNAADXAAAA4RYAAOIWAAC3AgAAOAoAAOMWAAC4AgAA5BYAAMMNAADZAAAA5RYAAOYWAAC5AgAAOgoAAOcWAAC6AgAA6BYAAMoNAADcAAAA6hYAAOsWAAC8AgAAPQoAAOwWAAC9AgAA7RYAANINAADfAAAA7xYAAPAWAAC/AgAAQAoAAPEWAADAAgAA8hYAANoNAADhAAAA8xYAAPQWAADBAgAAQgoAAPUWAADCAgAA9hYAAOENAADjAAAA9xYAAPgWAADDAgAARAoAAPkWAADEAgAA+hYAAOgNAADmAAAA/BYAAP0WAADGAgAARwoAAP4WAADHAgAA/xYAAPANAADoAAAAABcAAAEXAADIAgAASQoAAAIXAADJAgAAAxcAAPcNAADqAAAABBcAAAUXAADKAgAASwoAAAYXAADLAgAABxcAAP4NAADtAAAACRcAAAoXAADNAgAATgoAAAsXAADOAgAADBcAAAYOAADvAAAADRcAAA4XAADPAgAAUAoAAA8XAADQAgAAEBcAAA0OAADbAAAA6RYAABEXAAC7AgAAUQoAABIXAADRAgAAExcAABMOAADzAAAAFRcAABYXAADTAgAAVAoAABcXAADUAgAAGBcAABsOAAD1AAAAGRcAABoXAADVAgAAVgoAABsXAADWAgAAHBcAACIOAAD3AAAAHRcAAB4XAADXAgAAWAoAAB8XAADYAgAAIBcAACkOAAD6AAAAIhcAACMXAADaAgAAWwoAACQXAADbAgAAJRcAADEOAAD8AAAAJhcAACcXAADcAgAAXQoAACgXAADdAgAAKRcAADgOAAD/AAAAKxcAACwXAADfAgAAYAoAAC0XAADgAgAALhcAAEAOAAACAQAAMBcAADEXAADiAgAAYwoAADIXAADjAgAAMxcAAEgOAAAEAQAANBcAADUXAADkAgAAZQoAADYXAADlAgAANxcAAE8OAAAGAQAAOBcAADkXAADmAgAAZwoAADoXAADnAgAAOxcAAFYOAAAJAQAAPRcAAD4XAADpAgAAagoAAD8XAADqAgAAQBcAAF4OAAALAQAAQRcAAEIXAADrAgAAbAoAAEMXAADsAgAARBcAAGUOAAANAQAARRcAAEYXAADtAgAAbgoAAEcXAADuAgAASBcAAGwOAAAQAQAAShcAAEsXAADwAgAAcQoAAEwXAADxAgAATRcAAHQOAAASAQAAThcAAE8XAADyAgAAcwoAAFAXAADzAgAAURcAAHsOAAAVAQAAUxcAAFQXAAD1AgAAdgoAAFUXAAD2AgAAVhcAAIMOAAAYAQAAWBcAAFkXAAD4AgAAeQoAAFoXAAD5AgAAWxcAAIsOAAAaAQAAXBcAAF0XAAD6AgAAewoAAF4XAAD7AgAAXxcAAJIOAAAcAQAAYBcAAGEXAAD8AgAAfQoAAGIXAAD9AgAAYxcAAJkOAAAfAQAAZRcAAGYXAAD/AgAAgAoAAGcXAAAAAwAAaBcAAKEOAAAhAQAAaRcAAGoXAAABAwAAggoAAGsXAAACAwAAbBcAAKgOAAAkAQAAbhcAAG8XAAAEAwAAhQoAAHAXAAAFAwAAcRcAALAOAAAnAQAAcxcAAHQXAAAHAwAAiAoAAHUXAAAIAwAAdhcAALgOAAApAQAAdxcAAHgXAAAJAwAAigoAAHkXAAAKAwAAehcAAL8OAAArAQAAexcAAHwXAAALAwAAjAoAAH0XAAAMAwAAfhcAAMYOAAAuAQAAgBcAAIEXAAAOAwAAjwoAAIIXAAAPAwAAgxcAAM4OAAAwAQAAhBcAAIUXAAAQAwAAkQoAAIYXAAARAwAAhxcAANUOAAAzAQAAiRcAAIoXAAATAwAAlAoAAIsXAAAUAwAAjBcAAN0OAAA2AQAAjhcAAI8XAAAWAwAAlwoAAJAXAAAXAwAAkRcAAOUOAAA4AQAAkhcAAJMXAAAYAwAAmQoAAJQXAAAZAwAAlRcAAOwOAAA6AQAAlhcAAJcXAAAaAwAAmwoAAJgXAAAbAwAAmRcAAPMOAAA9AQAAmxcAAJwXAAAdAwAAngoAAJ0XAAAeAwAAnhcAAPsOAAA/AQAAnxcAAKAXAAAfAwAAoAoAAKEXAAAgAwAAohcAAAIPAABCAQAApBcAAKUXAAAiAwAAowoAAKYXAAAjAwAApxcAAAoPAABFAQAAqRcAAKoXAAAlAwAApgoAAKsXAAAmAwAArBcAABIPAABHAQAArRcAAK4XAAAnAwAAqAoAAK8XAAAoAwAAsBcAABkPAABKAQAAshcAALMXAAAqAwAAqwoAALQXAAArAwAAtRcAACEPAABNAQAAtxcAALgXAAAtAwAArgoAALkXAAAuAwAAuhcAACkPAABPAQAAuxcAALwXAAAvAwAAsAoAAL0XAAAwAwAAvhcAADAPAABSAQAAwBcAAMEXAAAyAwAAswoAAMIXAAAzAwAAwxcAADgPAABVAQAAxRcAAMYXAAA1AwAAtgoAAMcXAAA2AwAAyBcAAEAPAABXAQAAyRcAAMoXAAA3AwAAuAoAAMsXAAA4AwAAzBcAAEcPAABaAQAAzhcAAM8XAAA6AwAAuwoAANAXAAA7AwAA0RcAAE8PAABdAQAA0xcAANQXAAA9AwAAvgoAANUXAAA+AwAA1hcAAFcPAABfAQAA1xcAANgXAAA/AwAAwAoAANkXAABAAwAA2hcAAF4PAABiAQAA3BcAAN0XAABCAwAAwwoAAN4XAABDAwAA3xcAAGYPAABlAQAA4RcAAOIXAABFAwAAxgoAAOMXAABGAwAA5BcAAG4PAABnAQAA5RcAAOYXAABHAwAAyAoAAOcXAABIAwAA6BcAAHUPAABqAQAA6hcAAOsXAABKAwAAywoAAOwXAABLAwAA7RcAAH0PAACjAAAA7xcAAPAXAABNAwAAzgoAAPEXAABOAwAA8hcAAIUPAABtAQAA8xcAAPQXAABPAwAA0AoAAPUXAABQAwAA9hcAAIwPAABvAQAA+BcAAPkXAABSAwAA0woAAPoXAABTAwAA+xcAAJQPAACmAAAA/RcAAP4XAABVAwAA1goAAP8XAABWAwAAABgAAJwPAAByAQAAARgAAAIYAABXAwAA2AoAAAMYAABYAwAABBgAAKMPAABzAQAABRgAAAYYAABZAwAA2goAAAcYAABaAwAACBgAAKoPAACoAAAAChgAAAsYAABcAwAA3QoAAAwYAABdAwAADRgAALIPAAB2AQAADhgAAA8YAABeAwAA3woAABAYAABfAwAAERgAALkPAAB3AQAAEhgAABMYAABgAwAA4QoAABQYAABhAwAAFRgAAMAPAACqAAAAFxgAABgYAABjAwAA5AoAABkYAABkAwAAGhgAAMgPAAB6AQAAGxgAABwYAABlAwAA5goAAB0YAABmAwAAHhgAAM8PAABuAQAA9xcAAB8YAABRAwAA5woAACAYAABnAwAAIRgAANUPAACrAAAAIxgAACQYAABpAwAA6goAACUYAABqAwAAJhgAAN0PAAB9AQAAJxgAACgYAABrAwAA7AoAACkYAABsAwAAKhgAAOQPAAB+AQAAKxgAACwYAABtAwAA7goAAC0YAABuAwAALhgAAOsPAACtAAAAMBgAADEYAABwAwAA8QoAADIYAABxAwAAMxgAAPMPAACBAQAANBgAADUYAAByAwAA8woAADYYAABzAwAANxgAAPoPAACDAQAAORgAADoYAAB1AwAA9goAADsYAAB2AwAAPBgAAAIQAACwAAAAPhgAAD8YAAB4AwAA+QoAAEAYAAB5AwAAQRgAAAoQAACGAQAAQhgAAEMYAAB6AwAA+woAAEQYAAB7AwAARRgAABEQAACHAQAARhgAAEcYAAB8AwAA/QoAAEgYAAB9AwAASRgAABgQAACyAAAASxgAAEwYAAB/AwAAAAsAAE0YAACAAwAAThgAACAQAACKAQAATxgAAFAYAACBAwAAAgsAAFEYAACCAwAAUhgAACcQAACLAQAAUxgAAFQYAACDAwAABAsAAFUYAACEAwAAVhgAAC4QAAC0AAAAWBgAAFkYAACGAwAABwsAAFoYAACHAwAAWxgAADYQAACOAQAAXBgAAF0YAACIAwAACQsAAF4YAACJAwAAXxgAAD0QAACQAQAAYRgAAGIYAACLAwAADAsAAGMYAACMAwAAZBgAAEUQAAC3AAAAZhgAAGcYAACOAwAADwsAAGgYAACPAwAAaRgAAE0QAACTAQAAahgAAGsYAACQAwAAEQsAAGwYAACRAwAAbRgAAFQQAACUAQAAbhgAAG8YAACSAwAAEwsAAHAYAACTAwAAcRgAAFsQAAC5AAAAcxgAAHQYAACVAwAAFgsAAHUYAACWAwAAdhgAAGMQAACXAQAAdxgAAHgYAACXAwAAGAsAAHkYAACYAwAAehgAAGoQAACZAQAAfBgAAH0YAACaAwAAGwsAAH4YAACbAwAAfxgAAHIQAAC8AAAAgRgAAIIYAACdAwAAHgsAAIMYAACeAwAAhBgAAHoQAACcAQAAhRgAAIYYAACfAwAAIAsAAIcYAACgAwAAiBgAAIEQAACdAQAAiRgAAIoYAAChAwAAIgsAAIsYAACiAwAAjBgAAIgQAAC+AAAAjhgAAI8YAACkAwAAJQsAAJAYAAClAwAAkRgAAJAQAACgAQAAkhgAAJMYAACmAwAAJwsAAJQYAACnAwAAlRgAAJcQAACiAQAAlxgAAJgYAACpAwAAKgsAAJkYAACqAwAAmhgAAJ8QAADBAAAAnBgAAJ0YAACsAwAALQsAAJ4YAACtAwAAnxgAAKcQAAClAQAAoBgAAKEYAACuAwAALwsAAKIYAACvAwAAoxgAAK4QAACmAQAApBgAAKUYAACwAwAAMQsAAKYYAACxAwAApxgAALUQAADDAAAAqRgAAKoYAACzAwAANAsAAKsYAAC0AwAArBgAAL0QAACpAQAArRgAAK4YAAC1AwAANgsAAK8YAAC2AwAAsBgAAMQQAACrAQAAshgAALMYAAC4AwAAOQsAALQYAAC5AwAAtRgAAMwQAADGAAAAtxgAALgYAAC7AwAAPAsAALkYAAC8AwAAuhgAANQQAACuAQAAuxgAALwYAAC9AwAAPgsAAL0YAAC+AwAAvhgAANsQAACwAQAAwBgAAMEYAADAAwAAQQsAAMIYAADBAwAAwxgAAOMQAADJAAAAxRgAAMYYAADDAwAARAsAAMcYAADEAwAAyBgAAOsQAACzAQAAyRgAAMoYAADFAwAARgsAAMsYAADGAwAAzBgAAPIQAAC1AQAAzhgAAM8YAADIAwAASQsAANAYAADJAwAA0RgAAPoQAADMAAAA0xgAANQYAADLAwAATAsAANUYAADMAwAA1hgAAAIRAAC4AQAA1xgAANgYAADNAwAATgsAANkYAADOAwAA2hgAAAkRAAC6AQAA3BgAAN0YAADQAwAAUQsAAN4YAADRAwAA3xgAABERAADPAAAA4RgAAOIYAADTAwAAVAsAAOMYAADUAwAA5BgAABkRAAC9AQAA5RgAAOYYAADVAwAAVgsAAOcYAADWAwAA6BgAACARAAC/AQAA6hgAAOsYAADYAwAAWQsAAOwYAADZAwAA7RgAACgRAADSAAAA7xgAAPAYAADbAwAAXAsAAPEYAADcAwAA8hgAADARAADCAQAA8xgAAPQYAADdAwAAXgsAAPUYAADeAwAA9hgAADcRAADEAQAA+BgAAPkYAADgAwAAYQsAAPoYAADhAwAA+xgAAD8RAADVAAAA/RgAAP4YAADjAwAAZAsAAP8YAADkAwAAABkAAEcRAADHAQAAARkAAAIZAADlAwAAZgsAAAMZAADmAwAABBkAAE4RAABrAQAABhkAAAcZAADoAwAAaQsAAAgZAADpAwAACRkAAFYRAADYAAAACxkAAAwZAADrAwAAbAsAAA0ZAADsAwAADhkAAF4RAADKAQAADxkAABAZAADtAwAAbgsAABEZAADuAwAAEhkAAGURAADLAQAAExkAABQZAADvAwAAcAsAABUZAADwAwAAFhkAAGwRAADaAAAAGBkAABkZAADyAwAAcwsAABoZAADzAwAAGxkAAHQRAADNAQAAHBkAAB0ZAAD0AwAAdQsAAB4ZAAD1AwAAHxkAAHsRAADPAQAAIRkAACIZAAD3AwAAeAsAACMZAAD4AwAAJBkAAIMRAADdAAAAJhkAACcZAAD6AwAAewsAACgZAAD7AwAAKRkAAIsRAADSAQAAKhkAACsZAAD8AwAAfQsAACwZAAD9AwAALRkAAJIRAABwAQAALxkAADAZAAD/AwAAgAsAADEZAAAABAAAMhkAAJoRAADgAAAANBkAADUZAAACBAAAgwsAADYZAAADBAAANxkAAKIRAADVAQAAOBkAADkZAAAEBAAAhQsAADoZAAAFBAAAOxkAAKkRAADWAQAAPBkAAD0ZAAAGBAAAhwsAAD4ZAAAHBAAAPxkAALARAADiAAAAQRkAAEIZAAAJBAAAigsAAEMZAAAKBAAARBkAALgRAADYAQAARRkAAEYZAAALBAAAjAsAAEcZAAAMBAAASBkAAL8RAADZAQAASRkAAEoZAAANBAAAjgsAAEsZAAAOBAAATBkAAMYRAADkAAAAThkAAE8ZAAAQBAAAkQsAAFAZAAARBAAAURkAAM4RAADcAQAAUhkAAFMZAAASBAAAkwsAAFQZAAATBAAAVRkAANURAAB0AQAAVxkAAFgZAAAVBAAAlgsAAFkZAAAWBAAAWhkAAN0RAADnAAAAXBkAAF0ZAAAYBAAAmQsAAF4ZAAAZBAAAXxkAAOURAADfAQAAYBkAAGEZAAAaBAAAmwsAAGIZAAAbBAAAYxkAAOwRAADgAQAAZBkAAGUZAAAcBAAAnQsAAGYZAAAdBAAAZxkAAPMRAADpAAAAaRkAAGoZAAAfBAAAoAsAAGsZAAAgBAAAbBkAAPsRAADiAQAAbRkAAG4ZAAAhBAAAogsAAG8ZAAAiBAAAcBkAAAISAADjAQAAcRkAAHIZAAAjBAAApAsAAHMZAAAkBAAAdBkAAAkSAADrAAAAdhkAAHcZAAAmBAAApwsAAHgZAAAnBAAAeRkAABESAADmAQAAehkAAHsZAAAoBAAAqQsAAHwZAAApBAAAfRkAABgSAAB4AQAAfxkAAIAZAAArBAAArAsAAIEZAAAsBAAAghkAACASAADuAAAAhBkAAIUZAAAuBAAArwsAAIYZAAAvBAAAhxkAACgSAADpAQAAiBkAAIkZAAAwBAAAsQsAAIoZAAAxBAAAixkAAC8SAADqAQAAjBkAAI0ZAAAyBAAAswsAAI4ZAAAzBAAAjxkAADYSAADwAAAAkRkAAJIZAAA1BAAAtgsAAJMZAAA2BAAAlBkAAD4SAADsAQAAlRkAAJYZAAA3BAAAuAsAAJcZAAA4BAAAmBkAAEUSAADOAQAAIBkAAJkZAAD2AwAAuQsAAJoZAAA5BAAAmxkAAEsSAADxAAAAnRkAAJ4ZAAA7BAAAvAsAAJ8ZAAA8BAAAoBkAAFMSAADuAQAAoRkAAKIZAAA9BAAAvgsAAKMZAAA+BAAApBkAAFoSAAB7AQAAphkAAKcZAABABAAAwQsAAKgZAABBBAAAqRkAAGISAAD0AAAAqxkAAKwZAABDBAAAxAsAAK0ZAABEBAAArhkAAGoSAADxAQAArxkAALAZAABFBAAAxgsAALEZAABGBAAAshkAAHESAADyAQAAsxkAALQZAABHBAAAyAsAALUZAABIBAAAthkAAHgSAAD2AAAAuBkAALkZAABKBAAAywsAALoZAABLBAAAuxkAAIASAAD0AQAAvBkAAL0ZAABMBAAAzQsAAL4ZAABNBAAAvxkAAIcSAAD2AQAAwBkAAMEZAABOBAAAzwsAAMIZAABPBAAAwxkAAI4SAAD4AAAAxRkAAMYZAABRBAAA0gsAAMcZAABSBAAAyBkAAJYSAAD5AQAAyRkAAMoZAABTBAAA1AsAAMsZAABUBAAAzBkAAJ0SAAB/AQAAzhkAAM8ZAABWBAAA1wsAANAZAABXBAAA0RkAAKUSAAD7AAAA0xkAANQZAABZBAAA2gsAANUZAABaBAAA1hkAAK0SAAD8AQAA1xkAANgZAABbBAAA3AsAANkZAABcBAAA2hkAALQSAAD9AQAA2xkAANwZAABdBAAA3gsAAN0ZAABeBAAA3hkAALsSAAD9AAAA4BkAAOEZAABgBAAA4QsAAOIZAABhBAAA4xkAAMMSAAD/AQAA5BkAAOUZAABiBAAA4wsAAOYZAABjBAAA5xkAAMoSAAAAAgAA6RkAAOoZAABlBAAA5gsAAOsZAABmBAAA7BkAANISAAAAAQAA7hkAAO8ZAABoBAAA6QsAAPAZAABpBAAA8RkAANoSAAADAgAA8hkAAPMZAABqBAAA6wsAAPQZAABrBAAA9RkAAOESAACEAQAA9xkAAPgZAABtBAAA7gsAAPkZAABuBAAA+hkAAOkSAAADAQAA/BkAAP0ZAABwBAAA8QsAAP4ZAABxBAAA/xkAAPESAAAGAgAAABoAAAEaAAByBAAA8wsAAAIaAABzBAAAAxoAAPgSAAAHAgAABBoAAAUaAAB0BAAA9QsAAAYaAAB1BAAABxoAAP8SAAAFAQAACRoAAAoaAAB3BAAA+AsAAAsaAAB4BAAADBoAAAcTAAAJAgAADRoAAA4aAAB5BAAA+gsAAA8aAAB6BAAAEBoAAA4TAADFAQAAERoAABIaAAB7BAAA/AsAABMaAAB8BAAAFBoAABUTAAAHAQAAFhoAABcaAAB+BAAA/wsAABgaAAB/BAAAGRoAAB0TAAALAgAAGhoAABsaAACABAAAAQwAABwaAACBBAAAHRoAACQTAACIAQAAHxoAACAaAACDBAAABAwAACEaAACEBAAAIhoAACwTAAAKAQAAJBoAACUaAACGBAAABwwAACYaAACHBAAAJxoAADQTAAAOAgAAKBoAACkaAACIBAAACQwAACoaAACJBAAAKxoAADsTAAAPAgAALBoAAC0aAACKBAAACwwAAC4aAACLBAAALxoAAEITAAAMAQAAMRoAADIaAACNBAAADgwAADMaAACOBAAANBoAAEoTAAARAgAANRoAADYaAACPBAAAEAwAADcaAACQBAAAOBoAAFETAAATAgAAORoAADoaAACRBAAAEgwAADsaAACSBAAAPBoAAFgTAAAOAQAAPhoAAD8aAACUBAAAFQwAAEAaAACVBAAAQRoAAGATAAAWAgAAQhoAAEMaAACWBAAAFwwAAEQaAACXBAAARRoAAGcTAACMAQAARxoAAEgaAACZBAAAGgwAAEkaAACaBAAAShoAAG8TAAARAQAATBoAAE0aAACcBAAAHQwAAE4aAACdBAAATxoAAHcTAAAZAgAAUBoAAFEaAACeBAAAHwwAAFIaAACfBAAAUxoAAH4TAAAaAgAAVBoAAFUaAACgBAAAIQwAAFYaAAChBAAAVxoAAIUTAAATAQAAWRoAAFoaAACjBAAAJAwAAFsaAACkBAAAXBoAAI0TAAAcAgAAXRoAAF4aAAClBAAAJgwAAF8aAACmBAAAYBoAAJQTAADQAQAAYhoAAGMaAACoBAAAKQwAAGQaAACpBAAAZRoAAJwTAAAWAQAAZxoAAGgaAACrBAAALAwAAGkaAACsBAAAahoAAKQTAAAeAgAAaxoAAGwaAACtBAAALgwAAG0aAACuBAAAbhoAAKsTAACRAQAAcBoAAHEaAACwBAAAMQwAAHIaAACxBAAAcxoAALMTAAAZAQAAdRoAAHYaAACzBAAANAwAAHcaAAC0BAAAeBoAALsTAAAhAgAAeRoAAHoaAAC1BAAANgwAAHsaAAC2BAAAfBoAAMITAAAiAgAAfRoAAH4aAAC3BAAAOAwAAH8aAAC4BAAAgBoAAMkTAAAbAQAAghoAAIMaAAC6BAAAOwwAAIQaAAC7BAAAhRoAANETAAAkAgAAhhoAAIcaAAC8BAAAPQwAAIgaAAC9BAAAiRoAANgTAAAmAgAAihoAAIsaAAC+BAAAPwwAAIwaAAC/BAAAjRoAAN8TAAAdAQAAjxoAAJAaAADBBAAAQgwAAJEaAADCBAAAkhoAAOcTAAApAgAAkxoAAJQaAADDBAAARAwAAJUaAADEBAAAlhoAAO4TAACVAQAAmBoAAJkaAADGBAAARwwAAJoaAADHBAAAmxoAAPYTAAAgAQAAnRoAAJ4aAADJBAAASgwAAJ8aAADKBAAAoBoAAP4TAAAsAgAAoRoAAKIaAADLBAAATAwAAKMaAADMBAAApBoAAAUUAAAtAgAApRoAAKYaAADNBAAATgwAAKcaAADOBAAAqBoAAAwUAAAiAQAAqhoAAKsaAADQBAAAUQwAAKwaAADRBAAArRoAABQUAAAvAgAArhoAAK8aAADSBAAAUwwAALAaAADTBAAAsRoAABsUAADaAQAAsxoAALQaAADVBAAAVgwAALUaAADWBAAAthoAACMUAAAlAQAAuBoAALkaAADYBAAAWQwAALoaAADZBAAAuxoAACsUAAAxAgAAvBoAAL0aAADaBAAAWwwAAL4aAADbBAAAvxoAADIUAACaAQAAwRoAAMIaAADdBAAAXgwAAMMaAADeBAAAxBoAADoUAAAoAQAAxhoAAMcaAADgBAAAYQwAAMgaAADhBAAAyRoAAEIUAAA0AgAAyhoAAMsaAADiBAAAYwwAAMwaAADjBAAAzRoAAEkUAAA1AgAAzhoAAM8aAADkBAAAZQwAANAaAADlBAAA0RoAAFAUAAAqAQAA0xoAANQaAADnBAAAaAwAANUaAADoBAAA1hoAAFgUAAA3AgAA1xoAANgaAADpBAAAagwAANkaAADqBAAA2hoAAF8UAAA5AgAA2xoAANwaAADrBAAAbAwAAN0aAADsBAAA3hoAAGYUAAAsAQAA4BoAAOEaAADuBAAAbwwAAOIaAADvBAAA4xoAAG4UAAA8AgAA5BoAAOUaAADwBAAAcQwAAOYaAADxBAAA5xoAAHUUAACeAQAA6RoAAOoaAADzBAAAdAwAAOsaAAD0BAAA7BoAAH0UAAAvAQAA7hoAAO8aAAD2BAAAdwwAAPAaAAD3BAAA8RoAAIUUAAA/AgAA8hoAAPMaAAD4BAAAeQwAAPQaAAD5BAAA9RoAAIwUAABAAgAA9hoAAPcaAAD6BAAAewwAAPgaAAD7BAAA+RoAAJMUAAAxAQAA+xoAAPwaAAD9BAAAfgwAAP0aAAD+BAAA/hoAAJsUAABCAgAA/xoAAAAbAAD/BAAAgAwAAAEbAAAABQAAAhsAAKIUAADkAQAABBsAAAUbAAACBQAAgwwAAAYbAAADBQAABxsAAKoUAAA0AQAACRsAAAobAAAFBQAAhgwAAAsbAAAGBQAADBsAALIUAABEAgAADRsAAA4bAAAHBQAAiAwAAA8bAAAIBQAAEBsAALkUAACjAQAAEhsAABMbAAAKBQAAiwwAABQbAAALBQAAFRsAAMEUAAA3AQAAFxsAABgbAAANBQAAjgwAABkbAAAOBQAAGhsAAMkUAABHAgAAGxsAABwbAAAPBQAAkAwAAB0bAAAQBQAAHhsAANAUAABIAgAAHxsAACAbAAARBQAAkgwAACEbAAASBQAAIhsAANcUAAA5AQAAJBsAACUbAAAUBQAAlQwAACYbAAAVBQAAJxsAAN8UAABKAgAAKBsAACkbAAAWBQAAlwwAACobAAAXBQAAKxsAAOYUAAD3AQAALBsAAC0bAAAYBQAAmQwAAC4bAAAZBQAALxsAAO0UAAA7AQAAMRsAADIbAAAbBQAAnAwAADMbAAAcBQAANBsAAPUUAABOAgAANRsAADYbAAAdBQAAngwAADcbAAAeBQAAOBsAAPwUAACnAQAAOhsAADsbAAAgBQAAoQwAADwbAAAhBQAAPRsAAAQVAAA+AQAAPxsAAEAbAAAjBQAApAwAAEEbAAAkBQAAQhsAAAwVAABRAgAAQxsAAEQbAAAlBQAApgwAAEUbAAAmBQAARhsAABMVAABSAgAARxsAAEgbAAAnBQAAqAwAAEkbAAAoBQAAShsAABoVAABAAQAATBsAAE0bAAAqBQAAqwwAAE4bAAArBQAATxsAACIVAABUAgAAUBsAAFEbAAAsBQAArQwAAFIbAAAtBQAAUxsAACkVAAABAgAAVRsAAFYbAAAvBQAAsAwAAFcbAAAwBQAAWBsAADEVAABDAQAAWhsAAFsbAAAyBQAAswwAAFwbAAAzBQAAXRsAADkVAABWAgAAXhsAAF8bAAA0BQAAtQwAAGAbAAA1BQAAYRsAAEAVAACsAQAAYxsAAGQbAAA3BQAAuAwAAGUbAAA4BQAAZhsAAEgVAABGAQAAaBsAAGkbAAA6BQAAuwwAAGobAAA7BQAAaxsAAFAVAABZAgAAbBsAAG0bAAA8BQAAvQwAAG4bAAA9BQAAbxsAAFcVAABaAgAAcBsAAHEbAAA+BQAAvwwAAHIbAAA/BQAAcxsAAF4VAABIAQAAdRsAAHYbAABBBQAAwgwAAHcbAABCBQAAeBsAAGYVAABcAgAAeRsAAHobAABDBQAAxAwAAHsbAABEBQAAfBsAAG0VAAAUAgAAfhsAAH8bAABGBQAAxwwAAIAbAABHBQAAgRsAAHUVAABLAQAAgxsAAIQbAABJBQAAygwAAIUbAABKBQAAhhsAAH0VAABgAgAAhxsAAIgbAABLBQAAzAwAAIkbAABMBQAAihsAAIQVAACxAQAAjBsAAI0bAABOBQAAzwwAAI4bAABPBQAAjxsAAIwVAABOAQAAkRsAAJIbAABRBQAA0gwAAJMbAABSBQAAlBsAAJQVAABjAgAAlRsAAJYbAABTBQAA1AwAAJcbAABUBQAAmBsAAJsVAABkAgAAmRsAAJobAABVBQAA1gwAAJsbAABWBQAAnBsAAKIVAABQAQAAnhsAAJ8bAABYBQAA2QwAAKAbAABZBQAAoRsAAKoVAABmAgAAohsAAKMbAABaBQAA2wwAAKQbAABbBQAApRsAALEVAAAnAgAApxsAAKgbAABdBQAA3gwAAKkbAABeBQAAqhsAALkVAABTAQAArBsAAK0bAABgBQAA4QwAAK4bAABhBQAArxsAAMEVAABpAgAAsBsAALEbAABiBQAA4wwAALIbAABjBQAAsxsAAMgVAAC2AQAAtRsAALYbAABlBQAA5gwAALcbAABmBQAAuBsAANAVAABWAQAAuhsAALsbAABoBQAA6QwAALwbAABpBQAAvRsAANgVAABsAgAAvhsAAL8bAABqBQAA6wwAAMAbAABrBQAAwRsAAN8VAABtAgAAwhsAAMMbAABsBQAA7QwAAMQbAABtBQAAxRsAAOYVAABYAQAAxxsAAMgbAABvBQAA8AwAAMkbAABwBQAAyhsAAO4VAABvAgAAyxsAAMwbAABxBQAA8gwAAM0bAAByBQAAzhsAAPUVAAA6AgAA0BsAANEbAAB0BQAA9QwAANIbAAB1BQAA0xsAAP0VAABbAQAA1RsAANYbAAB3BQAA+AwAANcbAAB4BQAA2BsAAAUWAAByAgAA2RsAANobAAB5BQAA+gwAANsbAAB6BQAA3BsAAAwWAAC7AQAA3hsAAN8bAAB8BQAA/QwAAOAbAAB9BQAA4RsAABQWAABeAQAA4xsAAOQbAAB/BQAAAA0AAOUbAACABQAA5hsAABwWAAB1AgAA5xsAAOgbAACBBQAAAg0AAOkbAACCBQAA6hsAACMWAAB2AgAA6xsAAOwbAACDBQAABA0AAO0bAACEBQAA7hsAACoWAABgAQAA8BsAAPEbAACGBQAABw0AAPIbAACHBQAA8xsAADIWAAB4AgAA9BsAAPUbAACIBQAACQ0AAPYbAACJBQAA9xsAADkWAABMAgAA+RsAAPobAACLBQAADA0AAPsbAACMBQAA/BsAAEEWAABjAQAA/hsAAP8bAACOBQAADw0AAAAcAACPBQAAARwAAEkWAAB7AgAAAhwAAAMcAACQBQAAEQ0AAAQcAACRBQAABRwAAFAWAADAAQAABxwAAAgcAACTBQAAFA0AAAkcAACUBQAAChwAAFgWAABmAQAADBwAAA0cAACWBQAAFw0AAA4cAACXBQAADxwAAGAWAAB+AgAAEBwAABEcAACYBQAAGQ0AABIcAACZBQAAExwAAGcWAAB/AgAAFBwAABUcAACaBQAAGw0AABYcAACbBQAAFxwAAG4WAABoAQAAGRwAABocAACdBQAAHg0AABscAACeBQAAHBwAAHYWAACBAgAAHRwAAB4cAACfBQAAIA0AAB8cAACgBQAAIBwAAH0WAAAqAAAAIhwAACMcAACiBQAAIw0AACQcAACjBQAAJRwAAIIPAACiAAAAgxYAACQNAACDAgAAJg0AACccAACkBQAAKBwAACYcAACjAAAAKRwAAO8XAAClBQAAKA0AACocAABNAwAAKxwAAM0KAAAtAAAALRwAAC4cAACnBQAAKw0AAC8cAACoBQAAMBwAAJkPAAClAAAAiBYAACwNAACGAgAALg0AADIcAACpBQAAMxwAADEcAACmAAAANBwAAP0XAACqBQAAMA0AADUcAABVAwAANhwAANUKAAAvAAAANxwAADgcAACrBQAAMg0AADkcAACsBQAAOhwAAK8PAACnAAAAjBYAADMNAACIAgAANQ0AADwcAACtBQAAPRwAADscAACoAAAAPhwAAAoYAACuBQAANw0AAD8cAABcAwAAQBwAANwKAAAxAAAAQRwAAEIcAACvBQAAOQ0AAEMcAACwBQAARBwAAMUPAACpAAAAkBYAADoNAACKAgAAPA0AAEYcAACxBQAARxwAAEUcAACqAAAASBwAABcYAACyBQAAPg0AAEkcAABjAwAAShwAAOMKAAAsAAAALBwAAEscAACmBQAAPw0AAEwcAACzBQAATRwAANoPAACkAAAAkxYAAEANAACLAgAAQg0AAE8cAAC0BQAAUBwAAE4cAACrAAAAURwAACMYAAC1BQAARA0AAFIcAABpAwAAUxwAAOkKAAA0AAAAVBwAAFUcAAC2BQAARg0AAFYcAAC3BQAAVxwAAPAPAACsAAAAlxYAAEcNAACNAgAASQ0AAFkcAAC4BQAAWhwAAFgcAACtAAAAWxwAADAYAAC5BQAASw0AAFwcAABwAwAAXRwAAPAKAAA3AAAAXxwAAGAcAAC7BQAATg0AAGEcAAC8BQAAYhwAAAcQAACvAAAAnBYAAE8NAACQAgAAUQ0AAGQcAAC9BQAAZRwAAGMcAACwAAAAZhwAAD4YAAC+BQAAUw0AAGccAAB4AwAAaBwAAPgKAAA5AAAAaRwAAGocAAC/BQAAVQ0AAGscAADABQAAbBwAAB0QAACxAAAAoBYAAFYNAACSAgAAWA0AAG4cAADBBQAAbxwAAG0cAACyAAAAcBwAAEsYAADCBQAAWg0AAHEcAAB/AwAAchwAAP8KAAA7AAAAcxwAAHQcAADDBQAAXA0AAHUcAADEBQAAdhwAADMQAACzAAAApBYAAF0NAACUAgAAXw0AAHgcAADFBQAAeRwAAHccAAC0AAAAehwAAFgYAADGBQAAYQ0AAHscAACGAwAAfBwAAAYLAAA+AAAAfhwAAH8cAADIBQAAZA0AAIAcAADJBQAAgRwAAEoQAAC2AAAAqRYAAGUNAACXAgAAZw0AAIMcAADKBQAAhBwAAIIcAAC3AAAAhRwAAGYYAADLBQAAaQ0AAIYcAACOAwAAhxwAAA4LAABAAAAAiBwAAIkcAADMBQAAaw0AAIocAADNBQAAixwAAGAQAAC4AAAArRYAAGwNAACZAgAAbg0AAI0cAADOBQAAjhwAAIwcAAC5AAAAjxwAAHMYAADPBQAAcA0AAJAcAACVAwAAkRwAABULAABDAAAAkxwAAJQcAADRBQAAcw0AAJUcAADSBQAAlhwAAHcQAAC7AAAAshYAAHQNAACcAgAAdg0AAJgcAADTBQAAmRwAAJccAAC8AAAAmhwAAIEYAADUBQAAeA0AAJscAACdAwAAnBwAAB0LAABFAAAAnRwAAJ4cAADVBQAAeg0AAJ8cAADWBQAAoBwAAI0QAAC9AAAAthYAAHsNAACeAgAAfQ0AAKIcAADXBQAAoxwAAKEcAAC+AAAApBwAAI4YAADYBQAAfw0AAKUcAACkAwAAphwAACQLAABIAAAAqBwAAKkcAADaBQAAgg0AAKocAADbBQAAqxwAAKQQAADAAAAAuxYAAIMNAAChAgAAhQ0AAK0cAADcBQAArhwAAKwcAADBAAAArxwAAJwYAADdBQAAhw0AALAcAACsAwAAsRwAACwLAABKAAAAshwAALMcAADeBQAAiQ0AALQcAADfBQAAtRwAALoQAADCAAAAvxYAAIoNAACjAgAAjA0AALccAADgBQAAuBwAALYcAADDAAAAuRwAAKkYAADhBQAAjg0AALocAACzAwAAuxwAADMLAABNAAAAvRwAAL4cAADjBQAAkQ0AAL8cAADkBQAAwBwAANEQAADFAAAAxBYAAJINAACmAgAAlA0AAMIcAADlBQAAwxwAAMEcAADGAAAAxBwAALcYAADmBQAAlg0AAMUcAAC7AwAAxhwAADsLAABQAAAAyBwAAMkcAADoBQAAmQ0AAMocAADpBQAAyxwAAOgQAADIAAAAyRYAAJoNAACpAgAAnA0AAM0cAADqBQAAzhwAAMwcAADJAAAAzxwAAMUYAADrBQAAng0AANAcAADDAwAA0RwAAEMLAABTAAAA0xwAANQcAADtBQAAoQ0AANUcAADuBQAA1hwAAP8QAADLAAAAzhYAAKINAACsAgAApA0AANgcAADvBQAA2RwAANccAADMAAAA2hwAANMYAADwBQAApg0AANscAADLAwAA3BwAAEsLAABWAAAA3hwAAN8cAADyBQAAqQ0AAOAcAADzBQAA4RwAABYRAADOAAAA0xYAAKoNAACvAgAArA0AAOMcAAD0BQAA5BwAAOIcAADPAAAA5RwAAOEYAAD1BQAArg0AAOYcAADTAwAA5xwAAFMLAABZAAAA6RwAAOocAAD3BQAAsQ0AAOscAAD4BQAA7BwAAC0RAADRAAAA2BYAALINAACyAgAAtA0AAO4cAAD5BQAA7xwAAO0cAADSAAAA8BwAAO8YAAD6BQAAtg0AAPEcAADbAwAA8hwAAFsLAABcAAAA9BwAAPUcAAD8BQAAuQ0AAPYcAAD9BQAA9xwAAEQRAADUAAAA3RYAALoNAAC1AgAAvA0AAPkcAAD+BQAA+hwAAPgcAADVAAAA+xwAAP0YAAD/BQAAvg0AAPwcAADjAwAA/RwAAGMLAAArAAAA/xwAAAAdAAABBgAAwQ0AAAEdAAACBgAAAh0AAFsRAADXAAAA4hYAAMINAAC4AgAAxA0AAAQdAAADBgAABR0AAAMdAADYAAAABh0AAAsZAAAEBgAAxg0AAAcdAADrAwAACB0AAGsLAABfAAAACR0AAAodAAAFBgAAyA0AAAsdAAAGBgAADB0AAHERAADZAAAA5hYAAMkNAAC6AgAAyw0AAA4dAAAHBgAADx0AAA0dAADaAAAAEB0AABgZAAAIBgAAzQ0AABEdAADyAwAAEh0AAHILAABhAAAAFB0AABUdAAAKBgAA0A0AABYdAAALBgAAFx0AAIgRAADcAAAA6xYAANENAAC9AgAA0w0AABkdAAAMBgAAGh0AABgdAADdAAAAGx0AACYZAAANBgAA1Q0AABwdAAD6AwAAHR0AAHoLAAAuAAAAHx0AACAdAAAPBgAA2A0AACEdAAAQBgAAIh0AAJ8RAADfAAAA8BYAANkNAADAAgAA2w0AACQdAAARBgAAJR0AACMdAADgAAAAJh0AADQZAAASBgAA3Q0AACcdAAACBAAAKB0AAIILAABkAAAAKR0AACodAAATBgAA3w0AACsdAAAUBgAALB0AALURAADhAAAA9BYAAOANAADCAgAA4g0AAC4dAAAVBgAALx0AAC0dAADiAAAAMB0AAEEZAAAWBgAA5A0AADEdAAAJBAAAMh0AAIkLAABlAAAAMx0AADQdAAAXBgAA5g0AADUdAAAYBgAANh0AAMsRAADjAAAA+BYAAOcNAADEAgAA6Q0AADgdAAAZBgAAOR0AADcdAADkAAAAOh0AAE4ZAAAaBgAA6w0AADsdAAAQBAAAPB0AAJALAAAwAAAAPh0AAD8dAAAcBgAA7g0AAEAdAAAdBgAAQR0AAOIRAADmAAAA/RYAAO8NAADHAgAA8Q0AAEMdAAAeBgAARB0AAEIdAADnAAAARR0AAFwZAAAfBgAA8w0AAEYdAAAYBAAARx0AAJgLAABoAAAASB0AAEkdAAAgBgAA9Q0AAEodAAAhBgAASx0AAPgRAADoAAAAARcAAPYNAADJAgAA+A0AAE0dAAAiBgAATh0AAEwdAADpAAAATx0AAGkZAAAjBgAA+g0AAFAdAAAfBAAAUR0AAJ8LAABpAAAAUh0AAFMdAAAkBgAA/A0AAFQdAAAlBgAAVR0AAA4SAADqAAAABRcAAP0NAADLAgAA/w0AAFcdAAAmBgAAWB0AAFYdAADrAAAAWR0AAHYZAAAnBgAAAQ4AAFodAAAmBAAAWx0AAKYLAAAyAAAAXR0AAF4dAAApBgAABA4AAF8dAAAqBgAAYB0AACUSAADtAAAAChcAAAUOAADOAgAABw4AAGIdAAArBgAAYx0AAGEdAADuAAAAZB0AAIQZAAAsBgAACQ4AAGUdAAAuBAAAZh0AAK4LAABsAAAAZx0AAGgdAAAtBgAACw4AAGkdAAAuBgAAah0AADsSAADvAAAADhcAAAwOAADQAgAADg4AAGwdAAAvBgAAbR0AAGsdAADwAAAAbh0AAJEZAAAwBgAAEA4AAG8dAAA1BAAAcB0AALULAABgAAAAEx0AAHEdAAAJBgAAEQ4AAHIdAAAxBgAAcx0AAFASAADbAAAAERcAABIOAADRAgAAFA4AAHUdAAAyBgAAdh0AAHQdAADxAAAAdx0AAJ0ZAAAzBgAAFg4AAHgdAAA7BAAAeR0AALsLAAAzAAAAex0AAHwdAAA1BgAAGQ4AAH0dAAA2BgAAfh0AAGcSAADzAAAAFhcAABoOAADUAgAAHA4AAIAdAAA3BgAAgR0AAH8dAAD0AAAAgh0AAKsZAAA4BgAAHg4AAIMdAABDBAAAhB0AAMMLAABuAAAAhR0AAIYdAAA5BgAAIA4AAIcdAAA6BgAAiB0AAH0SAAD1AAAAGhcAACEOAADWAgAAIw4AAIodAAA7BgAAix0AAIkdAAD2AAAAjB0AALgZAAA8BgAAJQ4AAI0dAABKBAAAjh0AAMoLAABwAAAAjx0AAJAdAAA9BgAAJw4AAJEdAAA+BgAAkh0AAJMSAAD3AAAAHhcAACgOAADYAgAAKg4AAJQdAAA/BgAAlR0AAJMdAAD4AAAAlh0AAMUZAABABgAALA4AAJcdAABRBAAAmB0AANELAAA1AAAAmh0AAJsdAABCBgAALw4AAJwdAABDBgAAnR0AAKoSAAD6AAAAIxcAADAOAADbAgAAMg4AAJ8dAABEBgAAoB0AAJ4dAAD7AAAAoR0AANMZAABFBgAANA4AAKIdAABZBAAAox0AANkLAABzAAAApB0AAKUdAABGBgAANg4AAKYdAABHBgAApx0AAMASAAD8AAAAJxcAADcOAADdAgAAOQ4AAKkdAABIBgAAqh0AAKgdAAD9AAAAqx0AAOAZAABJBgAAOw4AAKwdAABgBAAArR0AAOALAAB0AAAArx0AALAdAABLBgAAPg4AALEdAABMBgAAsh0AANcSAAD/AAAALBcAAD8OAADgAgAAQQ4AALQdAABNBgAAtR0AALMdAAAAAQAAth0AAO4ZAABOBgAAQw4AALcdAABoBAAAuB0AAOgLAAA4AAAAuh0AALsdAABQBgAARg4AALwdAABRBgAAvR0AAO4SAAACAQAAMRcAAEcOAADjAgAASQ4AAL8dAABSBgAAwB0AAL4dAAADAQAAwR0AAPwZAABTBgAASw4AAMIdAABwBAAAwx0AAPALAAB3AAAAxB0AAMUdAABUBgAATQ4AAMYdAABVBgAAxx0AAAQTAAAEAQAANRcAAE4OAADlAgAAUA4AAMkdAABWBgAAyh0AAMgdAAAFAQAAyx0AAAkaAABXBgAAUg4AAMwdAAB3BAAAzR0AAPcLAABdAAAAzh0AAM8dAABYBgAAVA4AANAdAABZBgAA0R0AABoTAAAGAQAAORcAAFUOAADnAgAAVw4AANMdAABaBgAA1B0AANIdAAAHAQAA1R0AABYaAABbBgAAWQ4AANYdAAB+BAAA1x0AAP4LAAA6AAAA2R0AANodAABdBgAAXA4AANsdAABeBgAA3B0AADETAAAJAQAAPhcAAF0OAADqAgAAXw4AAN4dAABfBgAA3x0AAN0dAAAKAQAA4B0AACQaAABgBgAAYQ4AAOEdAACGBAAA4h0AAAYMAAB5AAAA4x0AAOQdAABhBgAAYw4AAOUdAABiBgAA5h0AAEcTAAALAQAAQhcAAGQOAADsAgAAZg4AAOgdAABjBgAA6R0AAOcdAAAMAQAA6h0AADEaAABkBgAAaA4AAOsdAACNBAAA7B0AAA0MAAB7AAAA7R0AAO4dAABlBgAAag4AAO8dAABmBgAA8B0AAF0TAAANAQAARhcAAGsOAADuAgAAbQ4AAPIdAABnBgAA8x0AAPEdAAAOAQAA9B0AAD4aAABoBgAAbw4AAPUdAACUBAAA9h0AABQMAAA8AAAA+B0AAPkdAABqBgAAcg4AAPodAABrBgAA+x0AAHQTAAAQAQAASxcAAHMOAADxAgAAdQ4AAP0dAABsBgAA/h0AAPwdAAARAQAA/x0AAEwaAABtBgAAdw4AAAAeAACcBAAAAR4AABwMAAB+AAAAAh4AAAMeAABuBgAAeQ4AAAQeAABvBgAABR4AAIoTAAASAQAATxcAAHoOAADzAgAAfA4AAAceAABwBgAACB4AAAYeAAATAQAACR4AAFkaAABxBgAAfg4AAAoeAACjBAAACx4AACMMAABiAAAADR4AAA4eAABzBgAAgQ4AAA8eAAB0BgAAEB4AAKETAAAVAQAAVBcAAIIOAAD2AgAAhA4AABIeAAB1BgAAEx4AABEeAAAWAQAAFB4AAGcaAAB2BgAAhg4AABUeAACrBAAAFh4AACsMAAA/AAAAGB4AABkeAAB4BgAAiQ4AABoeAAB5BgAAGx4AALgTAAAYAQAAWRcAAIoOAAD5AgAAjA4AAB0eAAB6BgAAHh4AABweAAAZAQAAHx4AAHUaAAB7BgAAjg4AACAeAACzBAAAIR4AADMMAACAAAAAIh4AACMeAAB8BgAAkA4AACQeAAB9BgAAJR4AAM4TAAAaAQAAXRcAAJEOAAD7AgAAkw4AACceAAB+BgAAKB4AACYeAAAbAQAAKR4AAIIaAAB/BgAAlQ4AACoeAAC6BAAAKx4AADoMAACCAAAALB4AAC0eAACABgAAlw4AAC4eAACBBgAALx4AAOQTAAAcAQAAYRcAAJgOAAD9AgAAmg4AADEeAACCBgAAMh4AADAeAAAdAQAAMx4AAI8aAACDBgAAnA4AADQeAADBBAAANR4AAEEMAABBAAAANx4AADgeAACFBgAAnw4AADkeAACGBgAAOh4AAPsTAAAfAQAAZhcAAKAOAAAAAwAAog4AADweAACHBgAAPR4AADseAAAgAQAAPh4AAJ0aAACIBgAApA4AAD8eAADJBAAAQB4AAEkMAACFAAAAQR4AAEIeAACJBgAApg4AAEMeAACKBgAARB4AABEUAAAhAQAAahcAAKcOAAACAwAAqQ4AAEYeAACLBgAARx4AAEUeAAAiAQAASB4AAKoaAACMBgAAqw4AAEkeAADQBAAASh4AAFAMAABmAAAATB4AAE0eAACOBgAArg4AAE4eAACPBgAATx4AACgUAAAkAQAAbxcAAK8OAAAFAwAAsQ4AAFEeAACQBgAAUh4AAFAeAAAlAQAAUx4AALgaAACRBgAAsw4AAFQeAADYBAAAVR4AAFgMAABEAAAAVx4AAFgeAACTBgAAtg4AAFkeAACUBgAAWh4AAD8UAAAnAQAAdBcAALcOAAAIAwAAuQ4AAFweAACVBgAAXR4AAFseAAAoAQAAXh4AAMYaAACWBgAAuw4AAF8eAADgBAAAYB4AAGAMAACHAAAAYR4AAGIeAACXBgAAvQ4AAGMeAACYBgAAZB4AAFUUAAApAQAAeBcAAL4OAAAKAwAAwA4AAGYeAACZBgAAZx4AAGUeAAAqAQAAaB4AANMaAACaBgAAwg4AAGkeAADnBAAAah4AAGcMAACJAAAAax4AAGweAACbBgAAxA4AAG0eAACcBgAAbh4AAGsUAAArAQAAfBcAAMUOAAAMAwAAxw4AAHAeAACdBgAAcR4AAG8eAAAsAQAAch4AAOAaAACeBgAAyQ4AAHMeAADuBAAAdB4AAG4MAABGAAAAdh4AAHceAACgBgAAzA4AAHgeAAChBgAAeR4AAIIUAAAuAQAAgRcAAM0OAAAPAwAAzw4AAHseAACiBgAAfB4AAHoeAAAvAQAAfR4AAO4aAACjBgAA0Q4AAH4eAAD2BAAAfx4AAHYMAACMAAAAgB4AAIEeAACkBgAA0w4AAIIeAAClBgAAgx4AAJgUAAAwAQAAhRcAANQOAAARAwAA1g4AAIUeAACmBgAAhh4AAIQeAAAxAQAAhx4AAPsaAACnBgAA2A4AAIgeAAD9BAAAiR4AAH0MAABqAAAAix4AAIweAACpBgAA2w4AAI0eAACqBgAAjh4AAK8UAAAzAQAAihcAANwOAAAUAwAA3g4AAJAeAACrBgAAkR4AAI8eAAA0AQAAkh4AAAkbAACsBgAA4A4AAJMeAAAFBQAAlB4AAIUMAABJAAAAlh4AAJceAACuBgAA4w4AAJgeAACvBgAAmR4AAMYUAAA2AQAAjxcAAOQOAAAXAwAA5g4AAJseAACwBgAAnB4AAJoeAAA3AQAAnR4AABcbAACxBgAA6A4AAJ4eAAANBQAAnx4AAI0MAACOAAAAoB4AAKEeAACyBgAA6g4AAKIeAACzBgAAox4AANwUAAA4AQAAkxcAAOsOAAAZAwAA7Q4AAKUeAAC0BgAAph4AAKQeAAA5AQAApx4AACQbAAC1BgAA7w4AAKgeAAAUBQAAqR4AAJQMAABxAAAAqh4AAKseAAC2BgAA8Q4AAKweAAC3BgAArR4AAPIUAAA6AQAAlxcAAPIOAAAbAwAA9A4AAK8eAAC4BgAAsB4AAK4eAAA7AQAAsR4AADEbAAC5BgAA9g4AALIeAAAbBQAAsx4AAJsMAABLAAAAtR4AALYeAAC7BgAA+Q4AALceAAC8BgAAuB4AAAkVAAA9AQAAnBcAAPoOAAAeAwAA/A4AALoeAAC9BgAAux4AALkeAAA+AQAAvB4AAD8bAAC+BgAA/g4AAL0eAAAjBQAAvh4AAKMMAACSAAAAvx4AAMAeAAC/BgAAAA8AAMEeAADABgAAwh4AAB8VAAA/AQAAoBcAAAEPAAAgAwAAAw8AAMQeAADBBgAAxR4AAMMeAABAAQAAxh4AAEwbAADCBgAABQ8AAMceAAAqBQAAyB4AAKoMAAB1AAAAyh4AAMseAADEBgAACA8AAMweAADFBgAAzR4AADYVAABCAQAApRcAAAkPAAAjAwAACw8AAM8eAADGBgAA0B4AAM4eAABDAQAA0R4AAFobAADHBgAADQ8AANIeAAAyBQAA0x4AALIMAABOAAAA1R4AANYeAADJBgAAEA8AANceAADKBgAA2B4AAE0VAABFAQAAqhcAABEPAAAmAwAAEw8AANoeAADLBgAA2x4AANkeAABGAQAA3B4AAGgbAADMBgAAFQ8AAN0eAAA6BQAA3h4AALoMAACUAAAA3x4AAOAeAADNBgAAFw8AAOEeAADOBgAA4h4AAGMVAABHAQAArhcAABgPAAAoAwAAGg8AAOQeAADPBgAA5R4AAOMeAABIAQAA5h4AAHUbAADQBgAAHA8AAOceAABBBQAA6B4AAMEMAAB8AAAA6h4AAOseAADSBgAAHw8AAOweAADTBgAA7R4AAHoVAABKAQAAsxcAACAPAAArAwAAIg8AAO8eAADUBgAA8B4AAO4eAABLAQAA8R4AAIMbAADVBgAAJA8AAPIeAABJBQAA8x4AAMkMAABRAAAA9R4AAPYeAADXBgAAJw8AAPceAADYBgAA+B4AAJEVAABNAQAAuBcAACgPAAAuAwAAKg8AAPoeAADZBgAA+x4AAPkeAABOAQAA/B4AAJEbAADaBgAALA8AAP0eAABRBQAA/h4AANEMAACYAAAA/x4AAAAfAADbBgAALg8AAAEfAADcBgAAAh8AAKcVAABPAQAAvBcAAC8PAAAwAwAAMQ8AAAQfAADdBgAABR8AAAMfAABQAQAABh8AAJ4bAADeBgAAMw8AAAcfAABYBQAACB8AANgMAACDAAAACh8AAAsfAADgBgAANg8AAAwfAADhBgAADR8AAL4VAABSAQAAwRcAADcPAAAzAwAAOQ8AAA8fAADiBgAAEB8AAA4fAABTAQAAER8AAKwbAADjBgAAOw8AABIfAABgBQAAEx8AAOAMAABUAAAAFR8AABYfAADlBgAAPg8AABcfAADmBgAAGB8AANUVAABVAQAAxhcAAD8PAAA2AwAAQQ8AABofAADnBgAAGx8AABkfAABWAQAAHB8AALobAADoBgAAQw8AAB0fAABoBQAAHh8AAOgMAACbAAAAHx8AACAfAADpBgAARQ8AACEfAADqBgAAIh8AAOsVAABXAQAAyhcAAEYPAAA4AwAASA8AACQfAADrBgAAJR8AACMfAABYAQAAJh8AAMcbAADsBgAASg8AACcfAABvBQAAKB8AAO8MAACKAAAAKh8AACsfAADuBgAATQ8AACwfAADvBgAALR8AAAIWAABaAQAAzxcAAE4PAAA7AwAAUA8AAC8fAADwBgAAMB8AAC4fAABbAQAAMR8AANUbAADxBgAAUg8AADIfAAB3BQAAMx8AAPcMAABXAAAANR8AADYfAADzBgAAVQ8AADcfAAD0BgAAOB8AABkWAABdAQAA1BcAAFYPAAA+AwAAWA8AADofAAD1BgAAOx8AADkfAABeAQAAPB8AAOMbAAD2BgAAWg8AAD0fAAB/BQAAPh8AAP8MAACeAAAAPx8AAEAfAAD3BgAAXA8AAEEfAAD4BgAAQh8AAC8WAABfAQAA2BcAAF0PAABAAwAAXw8AAEQfAAD5BgAARR8AAEMfAABgAQAARh8AAPAbAAD6BgAAYQ8AAEcfAACGBQAASB8AAAYNAACQAAAASh8AAEsfAAD8BgAAZA8AAEwfAAD9BgAATR8AAEYWAABiAQAA3RcAAGUPAABDAwAAZw8AAE8fAAD+BgAAUB8AAE4fAABjAQAAUR8AAP4bAAD/BgAAaQ8AAFIfAACOBQAAUx8AAA4NAABaAAAAVR8AAFYfAAABBwAAbA8AAFcfAAACBwAAWB8AAF0WAABlAQAA4hcAAG0PAABGAwAAbw8AAFofAAADBwAAWx8AAFkfAABmAQAAXB8AAAwcAAAEBwAAcQ8AAF0fAACWBQAAXh8AABYNAAChAAAAXx8AAGAfAAAFBwAAcw8AAGEfAAAGBwAAYh8AAHMWAABnAQAA5hcAAHQPAABIAwAAdg8AAGQfAAAHBwAAZR8AAGMfAABoAQAAZh8AABkcAAAIBwAAeA8AAGcfAACdBQAAaB8AAB0NAAAMAAAAah8AAGsfAAAKBwAAew8AAGwfAAALBwAAbR8AAFMRAABqAQAA6xcAAHwPAABLAwAAfg8AAG8fAAAMBwAAcB8AAG4fAABrAQAAcR8AAAYZAAANBwAAgA8AAHIfAADoAwAAcx8AAGgLAAAqAAAAIxwAAMwKAACjBQAAgw8AAHUfAABMAwAAdh8AAO4XAACjAAAA8BcAAIQPAABOAwAAhg8AAHgfAAAPBwAAeR8AAHcfAABsAQAAeh8AAIEPAAAQBwAAiA8AAHsfAAAOBwAAfB8AAHQfAAArAAAAfR8AAP8cAAARBwAAig8AAH4fAAABBgAAfx8AAMANAABtAQAA9BcAAIsPAABQAwAAjQ8AAIEfAAASBwAAgh8AAIAfAADXAAAAgx8AAOEWAAATBwAAjw8AAIQfAAC3AgAAhR8AADcKAAAPAAAAhx8AAIgfAAAVBwAAkg8AAIkfAAAWBwAAih8AAJcRAABvAQAA+RcAAJMPAABTAwAAlQ8AAIwfAAAXBwAAjR8AAIsfAABwAQAAjh8AAC8ZAAAYBwAAlw8AAI8fAAD/AwAAkB8AAH8LAAAtAAAALhwAANQKAACoBQAAmg8AAJIfAABUAwAAkx8AAPwXAACmAAAA/hcAAJsPAABWAwAAnQ8AAJUfAAAaBwAAlh8AAJQfAABxAQAAlx8AAJgPAAAbBwAAnw8AAJgfAAAZBwAAmR8AAJEfAAAuAAAAmh8AAB8dAAAcBwAAoQ8AAJsfAAAPBgAAnB8AANcNAAByAQAAAhgAAKIPAABYAwAApA8AAJ4fAAAdBwAAnx8AAJ0fAADfAAAAoB8AAO8WAAAeBwAApg8AAKEfAAC/AgAAoh8AAD8KAAARAAAAox8AAKQfAAAfBwAAqA8AAKUfAAAgBwAAph8AANoRAABzAQAABhgAAKkPAABaAwAAqw8AAKgfAAAhBwAAqR8AAKcfAAB0AQAAqh8AAFcZAAAiBwAArQ8AAKsfAAAVBAAArB8AAJULAAAvAAAAOBwAANsKAACsBQAAsA8AAK4fAABbAwAArx8AAAkYAACoAAAACxgAALEPAABdAwAAsw8AALEfAAAkBwAAsh8AALAfAAB1AQAAsx8AAK4PAAAlBwAAtQ8AALQfAAAjBwAAtR8AAK0fAAAwAAAAth8AAD4dAAAmBwAAtw8AALcfAAAcBgAAuB8AAO0NAAB2AQAADxgAALgPAABfAwAAug8AALofAAAnBwAAux8AALkfAADmAAAAvB8AAPwWAAAoBwAAvA8AAL0fAADGAgAAvh8AAEYKAAATAAAAvx8AAMAfAAApBwAAvg8AAMEfAAAqBwAAwh8AAB0SAAB3AQAAExgAAL8PAABhAwAAwQ8AAMQfAAArBwAAxR8AAMMfAAB4AQAAxh8AAH8ZAAAsBwAAww8AAMcfAAArBAAAyB8AAKsLAAAxAAAAQhwAAOIKAACwBQAAxg8AAMofAABiAwAAyx8AABYYAACqAAAAGBgAAMcPAABkAwAAyQ8AAM0fAAAuBwAAzh8AAMwfAAB5AQAAzx8AAMQPAAAvBwAAyw8AANAfAAAtBwAA0R8AAMkfAAAyAAAA0h8AAF0dAAAwBwAAzQ8AANMfAAApBgAA1B8AAAMOAAB6AQAAHBgAAM4PAABmAwAA0A8AANYfAAAxBwAA1x8AANUfAADtAAAA2B8AAAkXAAAyBwAA0g8AANkfAADNAgAA2h8AAE0KAAAOAAAAhh8AANsfAAAUBwAA0w8AANwfAAAzBwAA3R8AAF8SAABuAQAAHxgAANQPAABnAwAA1g8AAN8fAAA0BwAA4B8AAN4fAAB7AQAA4R8AAKYZAAA1BwAA2A8AAOIfAABABAAA4x8AAMALAAAsAAAASxwAAOgKAACzBQAA2w8AAOUfAABoAwAA5h8AACIYAACrAAAAJBgAANwPAABqAwAA3g8AAOgfAAA3BwAA6R8AAOcfAAB8AQAA6h8AANkPAAA4BwAA4A8AAOsfAAA2BwAA7B8AAOQfAAAzAAAA7R8AAHsdAAA5BwAA4g8AAO4fAAA1BgAA7x8AABgOAAB9AQAAKBgAAOMPAABsAwAA5Q8AAPEfAAA6BwAA8h8AAPAfAADzAAAA8x8AABUXAAA7BwAA5w8AAPQfAADTAgAA9R8AAFMKAAAWAAAA9h8AAPcfAAA8BwAA6Q8AAPgfAAA9BwAA+R8AAKISAAB+AQAALBgAAOoPAABuAwAA7A8AAPsfAAA+BwAA/B8AAPofAAB/AQAA/R8AAM4ZAAA/BwAA7g8AAP4fAABWBAAA/x8AANYLAAA0AAAAVRwAAO8KAAC3BQAA8Q8AAAEgAABvAwAAAiAAAC8YAACtAAAAMRgAAPIPAABxAwAA9A8AAAQgAABBBwAABSAAAAMgAACAAQAABiAAAO8PAABCBwAA9g8AAAcgAABABwAACCAAAAAgAAA1AAAACSAAAJodAABDBwAA+A8AAAogAABCBgAACyAAAC4OAACBAQAANRgAAPkPAABzAwAA+w8AAA0gAABEBwAADiAAAAwgAAD6AAAADyAAACIXAABFBwAA/Q8AABAgAADaAgAAESAAAFoKAAAYAAAAEyAAABQgAABHBwAAABAAABUgAABIBwAAFiAAAOYSAACDAQAAOhgAAAEQAAB2AwAAAxAAABggAABJBwAAGSAAABcgAACEAQAAGiAAAPcZAABKBwAABRAAABsgAABtBAAAHCAAAO0LAAA3AAAAYBwAAPcKAAC8BQAACBAAAB4gAAB3AwAAHyAAAD0YAACwAAAAPxgAAAkQAAB5AwAACxAAACEgAABMBwAAIiAAACAgAACFAQAAIyAAAAYQAABNBwAADRAAACQgAABLBwAAJSAAAB0gAAA4AAAAJiAAALodAABOBwAADxAAACcgAABQBgAAKCAAAEUOAACGAQAAQxgAABAQAAB7AwAAEhAAACogAABPBwAAKyAAACkgAAACAQAALCAAADAXAABQBwAAFBAAAC0gAADiAgAALiAAAGIKAAANAAAALyAAADAgAABRBwAAFhAAADEgAABSBwAAMiAAACkTAACHAQAARxgAABcQAAB9AwAAGRAAADQgAABTBwAANSAAADMgAACIAQAANiAAAB8aAABUBwAAGxAAADcgAACDBAAAOCAAAAMMAAA5AAAAahwAAP4KAADABQAAHhAAADogAAB+AwAAOyAAAEoYAACyAAAATBgAAB8QAACAAwAAIRAAAD0gAABWBwAAPiAAADwgAACJAQAAPyAAABwQAABXBwAAIxAAAEAgAABVBwAAQSAAADkgAAA6AAAAQiAAANkdAABYBwAAJRAAAEMgAABdBgAARCAAAFsOAACKAQAAUBgAACYQAACCAwAAKBAAAEYgAABZBwAARyAAAEUgAAAJAQAASCAAAD0XAABaBwAAKhAAAEkgAADpAgAASiAAAGkKAAAbAAAASyAAAEwgAABbBwAALBAAAE0gAABcBwAATiAAAGwTAACLAQAAVBgAAC0QAACEAwAALxAAAFAgAABdBwAAUSAAAE8gAACMAQAAUiAAAEcaAABeBwAAMRAAAFMgAACZBAAAVCAAABkMAAA7AAAAdBwAAAULAADEBQAANBAAAFYgAACFAwAAVyAAAFcYAAC0AAAAWRgAADUQAACHAwAANxAAAFkgAABgBwAAWiAAAFggAACNAQAAWyAAADIQAABhBwAAORAAAFwgAABfBwAAXSAAAFUgAAA8AAAAXiAAAPgdAABiBwAAOxAAAF8gAABqBgAAYCAAAHEOAACOAQAAXRgAADwQAACJAwAAPhAAAGIgAABjBwAAYyAAAGEgAAAQAQAAZCAAAEoXAABkBwAAQBAAAGUgAADwAgAAZiAAAHAKAAAQAAAAaCAAAGkgAABmBwAAQxAAAGogAABnBwAAayAAALATAACQAQAAYhgAAEQQAACMAwAARhAAAG0gAABoBwAAbiAAAGwgAACRAQAAbyAAAHAaAABpBwAASBAAAHAgAACwBAAAcSAAADAMAAA+AAAAfxwAAA0LAADJBQAASxAAAHMgAACNAwAAdCAAAGUYAAC3AAAAZxgAAEwQAACPAwAAThAAAHYgAABrBwAAdyAAAHUgAACSAQAAeCAAAEkQAABsBwAAUBAAAHkgAABqBwAAeiAAAHIgAAA/AAAAeyAAABgeAABtBwAAUhAAAHwgAAB4BgAAfSAAAIgOAACTAQAAaxgAAFMQAACRAwAAVRAAAH8gAABuBwAAgCAAAH4gAAAYAQAAgSAAAFgXAABvBwAAVxAAAIIgAAD4AgAAgyAAAHgKAAAeAAAAhCAAAIUgAABwBwAAWRAAAIYgAABxBwAAhyAAAPMTAACUAQAAbxgAAFoQAACTAwAAXBAAAIkgAAByBwAAiiAAAIggAACVAQAAiyAAAJgaAABzBwAAXhAAAIwgAADGBAAAjSAAAEYMAABAAAAAiRwAABQLAADNBQAAYRAAAI8gAACUAwAAkCAAAHIYAAC5AAAAdBgAAGIQAACWAwAAZBAAAJIgAAB1BwAAkyAAAJEgAACWAQAAlCAAAF8QAAB2BwAAZhAAAJUgAAB0BwAAliAAAI4gAABBAAAAlyAAADceAAB3BwAAaBAAAJggAACFBgAAmSAAAJ4OAACXAQAAeBgAAGkQAACYAwAAaxAAAJsgAAB4BwAAnCAAAJogAAAfAQAAnSAAAGUXAAB5BwAAbRAAAJ4gAAD/AgAAnyAAAH8KAAASAAAAoSAAAKIgAAB7BwAAcBAAAKMgAAB8BwAApCAAADcUAACZAQAAfRgAAHEQAACbAwAAcxAAAKYgAAB9BwAApyAAAKUgAACaAQAAqCAAAMEaAAB+BwAAdRAAAKkgAADdBAAAqiAAAF0MAABDAAAAlBwAABwLAADSBQAAeBAAAKwgAACcAwAArSAAAIAYAAC8AAAAghgAAHkQAACeAwAAexAAAK8gAACABwAAsCAAAK4gAACbAQAAsSAAAHYQAACBBwAAfRAAALIgAAB/BwAAsyAAAKsgAABEAAAAtCAAAFceAACCBwAAfxAAALUgAACTBgAAtiAAALUOAACcAQAAhhgAAIAQAACgAwAAghAAALggAACDBwAAuSAAALcgAAAnAQAAuiAAAHMXAACEBwAAhBAAALsgAAAHAwAAvCAAAIcKAAAhAAAAvSAAAL4gAACFBwAAhhAAAL8gAACGBwAAwCAAAHoUAACdAQAAihgAAIcQAACiAwAAiRAAAMIgAACHBwAAwyAAAMEgAACeAQAAxCAAAOkaAACIBwAAixAAAMUgAADzBAAAxiAAAHMMAABFAAAAnhwAACMLAADWBQAAjhAAAMggAACjAwAAySAAAI0YAAC+AAAAjxgAAI8QAAClAwAAkRAAAMsgAACKBwAAzCAAAMogAACfAQAAzSAAAIwQAACLBwAAkxAAAM4gAACJBwAAzyAAAMcgAABGAAAA0CAAAHYeAACMBwAAlRAAANEgAACgBgAA0iAAAMsOAACgAQAAkxgAAJYQAACnAwAAmBAAANQgAACNBwAA1SAAANMgAAAuAQAA1iAAAIAXAACOBwAAmhAAANcgAAAOAwAA2CAAAI4KAAAUAAAA2iAAANsgAACQBwAAnRAAANwgAACRBwAA3SAAAL4UAACiAQAAmBgAAJ4QAACqAwAAoBAAAN8gAACSBwAA4CAAAN4gAACjAQAA4SAAABIbAACTBwAAohAAAOIgAAAKBQAA4yAAAIoMAABIAAAAqRwAACsLAADbBQAApRAAAOUgAACrAwAA5iAAAJsYAADBAAAAnRgAAKYQAACtAwAAqBAAAOggAACVBwAA6SAAAOcgAACkAQAA6iAAAKMQAACWBwAAqhAAAOsgAACUBwAA7CAAAOQgAABJAAAA7SAAAJYeAACXBwAArBAAAO4gAACuBgAA7yAAAOIOAAClAQAAoRgAAK0QAACvAwAArxAAAPEgAACYBwAA8iAAAPAgAAA2AQAA8yAAAI4XAACZBwAAsRAAAPQgAAAWAwAA9SAAAJYKAAAXAAAA9iAAAPcgAACaBwAAsxAAAPggAACbBwAA+SAAAAEVAACmAQAApRgAALQQAACxAwAAthAAAPsgAACcBwAA/CAAAPogAACnAQAA/SAAADobAACdBwAAuBAAAP4gAAAgBQAA/yAAAKAMAABKAAAAsxwAADILAADfBQAAuxAAAAEhAACyAwAAAiEAAKgYAADDAAAAqhgAALwQAAC0AwAAvhAAAAQhAACfBwAABSEAAAMhAACoAQAABiEAALkQAACgBwAAwBAAAAchAACeBwAACCEAAAAhAABLAAAACSEAALUeAAChBwAAwhAAAAohAAC7BgAACyEAAPgOAACpAQAArhgAAMMQAAC2AwAAxRAAAA0hAACiBwAADiEAAAwhAAA9AQAADyEAAJsXAACjBwAAxxAAABAhAAAdAwAAESEAAJ0KAAAZAAAAEyEAABQhAAClBwAAyhAAABUhAACmBwAAFiEAAEUVAACrAQAAsxgAAMsQAAC5AwAAzRAAABghAACnBwAAGSEAABchAACsAQAAGiEAAGMbAACoBwAAzxAAABshAAA3BQAAHCEAALcMAABNAAAAvhwAADoLAADkBQAA0hAAAB4hAAC6AwAAHyEAALYYAADGAAAAuBgAANMQAAC8AwAA1RAAACEhAACqBwAAIiEAACAhAACtAQAAIyEAANAQAACrBwAA1xAAACQhAACpBwAAJSEAAB0hAABOAAAAJiEAANUeAACsBwAA2RAAACchAADJBgAAKCEAAA8PAACuAQAAvBgAANoQAAC+AwAA3BAAACohAACtBwAAKyEAACkhAABFAQAALCEAAKkXAACuBwAA3hAAAC0hAAAlAwAALiEAAKUKAAAcAAAAMCEAADEhAACwBwAA4RAAADIhAACxBwAAMyEAAIkVAACwAQAAwRgAAOIQAADBAwAA5BAAADUhAACyBwAANiEAADQhAACxAQAANyEAAIwbAACzBwAA5hAAADghAABOBQAAOSEAAM4MAABQAAAAyRwAAEILAADpBQAA6RAAADshAADCAwAAPCEAAMQYAADJAAAAxhgAAOoQAADEAwAA7BAAAD4hAAC1BwAAPyEAAD0hAACyAQAAQCEAAOcQAAC2BwAA7hAAAEEhAAC0BwAAQiEAADohAABRAAAAQyEAAPUeAAC3BwAA8BAAAEQhAADXBgAARSEAACYPAACzAQAAyhgAAPEQAADGAwAA8xAAAEchAAC4BwAASCEAAEYhAABNAQAASSEAALcXAAC5BwAA9RAAAEohAAAtAwAASyEAAK0KAAAfAAAATSEAAE4hAAC7BwAA+BAAAE8hAAC8BwAAUCEAAM0VAAC1AQAAzxgAAPkQAADJAwAA+xAAAFIhAAC9BwAAUyEAAFEhAAC2AQAAVCEAALUbAAC+BwAA/RAAAFUhAABlBQAAViEAAOUMAABTAAAA1BwAAEoLAADuBQAAABEAAFghAADKAwAAWSEAANIYAADMAAAA1BgAAAERAADMAwAAAxEAAFshAADABwAAXCEAAFohAAC3AQAAXSEAAP4QAADBBwAABREAAF4hAAC/BwAAXyEAAFchAABUAAAAYCEAABUfAADCBwAABxEAAGEhAADlBgAAYiEAAD0PAAC4AQAA2BgAAAgRAADOAwAAChEAAGQhAADDBwAAZSEAAGMhAABVAQAAZiEAAMUXAADEBwAADBEAAGchAAA1AwAAaCEAALUKAAAiAAAAaiEAAGshAADGBwAADxEAAGwhAADHBwAAbSEAABEWAAC6AQAA3RgAABARAADRAwAAEhEAAG8hAADIBwAAcCEAAG4hAAC7AQAAcSEAAN4bAADJBwAAFBEAAHIhAAB8BQAAcyEAAPwMAABWAAAA3xwAAFILAADzBQAAFxEAAHUhAADSAwAAdiEAAOAYAADPAAAA4hgAABgRAADUAwAAGhEAAHghAADLBwAAeSEAAHchAAC8AQAAeiEAABURAADMBwAAHBEAAHshAADKBwAAfCEAAHQhAABXAAAAfSEAADUfAADNBwAAHhEAAH4hAADzBgAAfyEAAFQPAAC9AQAA5hgAAB8RAADWAwAAIREAAIEhAADOBwAAgiEAAIAhAABdAQAAgyEAANMXAADPBwAAIxEAAIQhAAA9AwAAhSEAAL0KAAAkAAAAhyEAAIghAADRBwAAJhEAAIkhAADSBwAAiiEAAFUWAAC/AQAA6xgAACcRAADZAwAAKREAAIwhAADTBwAAjSEAAIshAADAAQAAjiEAAAccAADUBwAAKxEAAI8hAACTBQAAkCEAABMNAABZAAAA6hwAAFoLAAD4BQAALhEAAJIhAADaAwAAkyEAAO4YAADSAAAA8BgAAC8RAADcAwAAMREAAJUhAADWBwAAliEAAJQhAADBAQAAlyEAACwRAADXBwAAMxEAAJghAADVBwAAmSEAAJEhAABaAAAAmiEAAFUfAADYBwAANREAAJshAAABBwAAnCEAAGsPAADCAQAA9BgAADYRAADeAwAAOBEAAJ4hAADZBwAAnyEAAJ0hAABlAQAAoCEAAOEXAADaBwAAOhEAAKEhAABFAwAAoiEAAMUKAAAEAAAApCEAAKUhAADcBwAAPREAAKYhAADdBwAApyEAABITAADEAQAA+RgAAD4RAADhAwAAQBEAAKkhAADeBwAAqiEAAKghAADFAQAAqyEAABEaAADfBwAAQhEAAKwhAAB7BAAArSEAAPsLAABcAAAA9RwAAGILAAD9BQAARREAAK8hAADiAwAAsCEAAPwYAADVAAAA/hgAAEYRAADkAwAASBEAALIhAADhBwAAsyEAALEhAADGAQAAtCEAAEMRAADiBwAAShEAALUhAADgBwAAtiEAAK4hAABdAAAAtyEAAM4dAADjBwAATBEAALghAABYBgAAuSEAAFMOAADHAQAAAhkAAE0RAADmAwAATxEAALshAADkBwAAvCEAALohAAAGAQAAvSEAADgXAADlBwAAUREAAL4hAADmAgAAvyEAAGYKAAAMAAAAax8AADYKAAALBwAAVBEAAMEhAAC2AgAAwiEAAOAWAABrAQAABxkAAFURAADpAwAAVxEAAMQhAADnBwAAxSEAAMMhAADWAAAAxiEAAL8NAADoBwAAWREAAMchAAAABgAAyCEAAP4cAAArAAAAAB0AAGoLAAACBgAAXBEAAMohAADqAwAAyyEAAAoZAADYAAAADBkAAF0RAADsAwAAXxEAAM0hAADqBwAAziEAAMwhAADJAQAAzyEAAFoRAADrBwAAYREAANAhAADpBwAA0SEAAMkhAABeAAAA0iEAAGcLAADsBwAAYxEAANMhAADnAwAA1CEAAAUZAADKAQAAEBkAAGQRAADuAwAAZhEAANYhAADtBwAA1yEAANUhAADIAQAA2CEAAFIRAADuBwAAaBEAANkhAADmBwAA2iEAAMAhAAANAAAA2yEAAC8gAADvBwAAahEAANwhAABRBwAA3SEAABUQAADLAQAAFBkAAGsRAADwAwAAbREAAN8hAADwBwAA4CEAAN4hAACHAQAA4SEAAEYYAADxBwAAbxEAAOIhAAB8AwAA4yEAAPwKAABfAAAACh0AAHELAAAGBgAAchEAAOUhAADxAwAA5iEAABcZAADaAAAAGRkAAHMRAADzAwAAdREAAOghAADzBwAA6SEAAOchAADMAQAA6iEAAHARAAD0BwAAdxEAAOshAADyBwAA7CEAAOQhAAA5AAAA7SEAAGkcAAD1BwAAeREAAO4hAAC/BQAA7yEAAFQNAADNAQAAHRkAAHoRAAD1AwAAfBEAAPEhAAD2BwAA8iEAAPAhAACxAAAA8yEAAJ8WAAD3BwAAfhEAAPQhAACRAgAA9SEAABEKAAAFAAAA9yEAAPghAAD5BwAAgREAAPkhAAD6BwAA+iEAAJkTAADPAQAAIhkAAIIRAAD4AwAAhBEAAPwhAAD7BwAA/SEAAPshAADQAQAA/iEAAGIaAAD8BwAAhhEAAP8hAACoBAAAACIAACgMAABhAAAAFR0AAHkLAAALBgAAiREAAAIiAAD5AwAAAyIAACUZAADdAAAAJxkAAIoRAAD7AwAAjBEAAAUiAAD+BwAABiIAAAQiAADRAQAAByIAAIcRAAD/BwAAjhEAAAgiAAD9BwAACSIAAAEiAABiAAAACiIAAA0eAAAACAAAkBEAAAsiAABzBgAADCIAAIAOAADSAQAAKxkAAJERAAD9AwAAkxEAAA4iAAABCAAADyIAAA0iAAAVAQAAECIAAFMXAAACCAAAlREAABEiAAD1AgAAEiIAAHUKAAAPAAAAiB8AAD4KAAAWBwAAmBEAABQiAAC+AgAAFSIAAO4WAABwAQAAMBkAAJkRAAAABAAAmxEAABciAAAECAAAGCIAABYiAADeAAAAGSIAANYNAAAFCAAAnREAABoiAAAOBgAAGyIAAB4dAAAuAAAAIB0AAIELAAAQBgAAoBEAAB0iAAABBAAAHiIAADMZAADgAAAANRkAAKERAAADBAAAoxEAACAiAAAHCAAAISIAAB8iAADUAQAAIiIAAJ4RAAAICAAApREAACMiAAAGCAAAJCIAABwiAABjAAAAJSIAAH4LAAAJCAAApxEAACYiAAD+AwAAJyIAAC4ZAADVAQAAORkAAKgRAAAFBAAAqhEAACkiAAAKCAAAKiIAACgiAADTAQAAKyIAAJYRAAALCAAArBEAACwiAAADCAAALSIAABMiAAAQAAAALiIAAGggAAAMCAAArhEAAC8iAABmBwAAMCIAAEIQAADWAQAAPRkAAK8RAAAHBAAAsREAADIiAAANCAAAMyIAADEiAACQAQAANCIAAGEYAAAOCAAAsxEAADUiAACLAwAANiIAAAsLAABkAAAAKh0AAIgLAAAUBgAAthEAADgiAAAIBAAAOSIAAEAZAADiAAAAQhkAALcRAAAKBAAAuREAADsiAAAQCAAAPCIAADoiAADXAQAAPSIAALQRAAARCAAAuxEAAD4iAAAPCAAAPyIAADciAAA+AAAAQCIAAH4cAAASCAAAvREAAEEiAADIBQAAQiIAAGMNAADYAQAARhkAAL4RAAAMBAAAwBEAAEQiAAATCAAARSIAAEMiAAC2AAAARiIAAKgWAAAUCAAAwhEAAEciAACWAgAASCIAABYKAAABAAAASSIAAEoiAAAVCAAAxBEAAEsiAAAWCAAATCIAACAUAADZAQAAShkAAMURAAAOBAAAxxEAAE4iAAAXCAAATyIAAE0iAADaAQAAUCIAALMaAAAYCAAAyREAAFEiAADVBAAAUiIAAFUMAABlAAAANB0AAI8LAAAYBgAAzBEAAFQiAAAPBAAAVSIAAE0ZAADkAAAATxkAAM0RAAARBAAAzxEAAFciAAAaCAAAWCIAAFYiAADbAQAAWSIAAMoRAAAbCAAA0REAAFoiAAAZCAAAWyIAAFMiAABmAAAAXCIAAEweAAAcCAAA0xEAAF0iAACOBgAAXiIAAK0OAADcAQAAUxkAANQRAAATBAAA1hEAAGAiAAAdCAAAYSIAAF8iAAAkAQAAYiIAAG4XAAAeCAAA2BEAAGMiAAAEAwAAZCIAAIQKAAARAAAApB8AAEUKAAAgBwAA2xEAAGYiAADFAgAAZyIAAPsWAAB0AQAAWBkAANwRAAAWBAAA3hEAAGkiAAAgCAAAaiIAAGgiAADlAAAAayIAAOwNAAAhCAAA4BEAAGwiAAAbBgAAbSIAAD0dAAAwAAAAPx0AAJcLAAAdBgAA4xEAAG8iAAAXBAAAcCIAAFsZAADnAAAAXRkAAOQRAAAZBAAA5hEAAHIiAAAjCAAAcyIAAHEiAADeAQAAdCIAAOERAAAkCAAA6BEAAHUiAAAiCAAAdiIAAG4iAABnAAAAdyIAAJQLAAAlCAAA6hEAAHgiAAAUBAAAeSIAAFYZAADfAQAAYRkAAOsRAAAbBAAA7REAAHsiAAAmCAAAfCIAAHoiAADdAQAAfSIAANkRAAAnCAAA7xEAAH4iAAAfCAAAfyIAAGUiAAASAAAAgCIAAKEgAAAoCAAA8REAAIEiAAB7BwAAgiIAAG8QAADgAQAAZRkAAPIRAAAdBAAA9BEAAIQiAAApCAAAhSIAAIMiAACZAQAAhiIAAHwYAAAqCAAA9hEAAIciAACaAwAAiCIAABoLAABoAAAASR0AAJ4LAAAhBgAA+REAAIoiAAAeBAAAiyIAAGgZAADpAAAAahkAAPoRAAAgBAAA/BEAAI0iAAAsCAAAjiIAAIwiAADhAQAAjyIAAPcRAAAtCAAA/hEAAJAiAAArCAAAkSIAAIkiAABDAAAAkiIAAJMcAAAuCAAAABIAAJMiAADRBQAAlCIAAHINAADiAQAAbhkAAAESAAAiBAAAAxIAAJYiAAAvCAAAlyIAAJUiAAC7AAAAmCIAALEWAAAwCAAABRIAAJkiAACbAgAAmiIAABsKAAACAAAAmyIAAJwiAAAxCAAABxIAAJ0iAAAyCAAAniIAAKcUAADjAQAAchkAAAgSAAAkBAAAChIAAKAiAAAzCAAAoSIAAJ8iAADkAQAAoiIAAAQbAAA0CAAADBIAAKMiAAACBQAApCIAAIIMAABpAAAAUx0AAKULAAAlBgAADxIAAKYiAAAlBAAApyIAAHUZAADrAAAAdxkAABASAAAnBAAAEhIAAKkiAAA2CAAAqiIAAKgiAADlAQAAqyIAAA0SAAA3CAAAFBIAAKwiAAA1CAAArSIAAKUiAABqAAAAriIAAIseAAA4CAAAFhIAAK8iAACpBgAAsCIAANoOAADmAQAAexkAABcSAAApBAAAGRIAALIiAAA5CAAAsyIAALEiAAAzAQAAtCIAAIkXAAA6CAAAGxIAALUiAAATAwAAtiIAAJMKAAATAAAAwB8AAEwKAAAqBwAAHhIAALgiAADMAgAAuSIAAAgXAAB4AQAAgBkAAB8SAAAsBAAAIRIAALsiAAA8CAAAvCIAALoiAADsAAAAvSIAAAIOAAA9CAAAIxIAAL4iAAAoBgAAvyIAAFwdAAAyAAAAXh0AAK0LAAAqBgAAJhIAAMEiAAAtBAAAwiIAAIMZAADuAAAAhRkAACcSAAAvBAAAKRIAAMQiAAA/CAAAxSIAAMMiAADoAQAAxiIAACQSAABACAAAKxIAAMciAAA+CAAAyCIAAMAiAABrAAAAySIAAKoLAABBCAAALRIAAMoiAAAqBAAAyyIAAH4ZAADpAQAAiRkAAC4SAAAxBAAAMBIAAM0iAABCCAAAziIAAMwiAADnAQAAzyIAABwSAABDCAAAMhIAANAiAAA7CAAA0SIAALciAAAUAAAA0iIAANogAABECAAANBIAANMiAACQBwAA1CIAAJwQAADqAQAAjRkAADUSAAAzBAAANxIAANYiAABFCAAA1yIAANUiAACiAQAA2CIAAJcYAABGCAAAORIAANkiAACpAwAA2iIAACkLAABsAAAAaB0AALQLAAAuBgAAPBIAANwiAAA0BAAA3SIAAJAZAADwAAAAkhkAAD0SAAA2BAAAPxIAAN8iAABICAAA4CIAAN4iAADrAQAA4SIAADoSAABJCAAAQRIAAOIiAABHCAAA4yIAANsiAABIAAAA5CIAAKgcAABKCAAAQxIAAOUiAADaBQAA5iIAAIENAADsAQAAlhkAAEQSAAA4BAAARhIAAOgiAABLCAAA6SIAAOciAADAAAAA6iIAALoWAABMCAAASBIAAOsiAACgAgAA7CIAACAKAAADAAAA9iEAAA4KAAD4BwAASRIAAO0iAACOAgAA7iIAAJoWAADOAQAAmRkAAEoSAAA5BAAATBIAAPAiAABNCAAA8SIAAO8iAACuAAAA8iIAAEwNAABOCAAAThIAAPMiAAC6BQAA9CIAAF4cAABgAAAAcR0AALoLAAAxBgAAURIAAPYiAAA6BAAA9yIAAJwZAADxAAAAnhkAAFISAAA8BAAAVBIAAPkiAABQCAAA+iIAAPgiAADtAQAA+yIAAE8SAABRCAAAVhIAAPwiAABPCAAA/SIAAPUiAAA2AAAA/iIAAPQKAABSCAAAWBIAAP8iAAB0AwAAACMAADgYAADuAQAAohkAAFkSAAA+BAAAWxIAAAIjAABTCAAAAyMAAAEjAACCAQAABCMAAP4PAABUCAAAXRIAAAUjAABGBwAABiMAABIgAAAOAAAA2x8AAFIKAAAzBwAAYBIAAAgjAADSAgAACSMAABQXAAB7AQAApxkAAGESAABBBAAAYxIAAAsjAABWCAAADCMAAAojAADyAAAADSMAABcOAABXCAAAZRIAAA4jAAA0BgAADyMAAHodAAAzAAAAfB0AAMILAAA2BgAAaBIAABEjAABCBAAAEiMAAKoZAAD0AAAArBkAAGkSAABEBAAAaxIAABQjAABZCAAAFSMAABMjAADwAQAAFiMAAGYSAABaCAAAbRIAABcjAABYCAAAGCMAABAjAABtAAAAGSMAAL8LAABbCAAAbxIAABojAAA/BAAAGyMAAKUZAADxAQAAsBkAAHASAABGBAAAchIAAB0jAABcCAAAHiMAABwjAADvAQAAHyMAAF4SAABdCAAAdBIAACAjAABVCAAAISMAAAcjAAAVAAAAIiMAAF4KAABeCAAAdhIAACMjAADeAgAAJCMAACoXAADyAQAAtBkAAHcSAABIBAAAeRIAACYjAABfCAAAJyMAACUjAAD+AAAAKCMAADwOAABgCAAAexIAACkjAABKBgAAKiMAAK4dAABuAAAAhh0AAMkLAAA6BgAAfhIAACwjAABJBAAALSMAALcZAAD2AAAAuRkAAH8SAABLBAAAgRIAAC8jAABiCAAAMCMAAC4jAADzAQAAMSMAAHwSAABjCAAAgxIAADIjAABhCAAAMyMAACsjAABvAAAANCMAAOQLAABkCAAAhRIAADUjAABkBAAANiMAAOgZAAD0AQAAvRkAAIYSAABNBAAAiBIAADgjAABlCAAAOSMAADcjAAD1AQAAOiMAAM4SAABmCAAAihIAADsjAABnCAAAPCMAAD0jAAAIAAAAPiMAAD8jAABoCAAAjBIAAEAjAABpCAAAQSMAAOoUAAD2AQAAwRkAAI0SAABPBAAAjxIAAEMjAABqCAAARCMAAEIjAAD3AQAARSMAACwbAABrCAAAkRIAAEYjAAAYBQAARyMAAJgMAABwAAAAkB0AANALAAA+BgAAlBIAAEkjAABQBAAASiMAAMQZAAD4AAAAxhkAAJUSAABSBAAAlxIAAEwjAABtCAAATSMAAEsjAAD4AQAATiMAAJISAABuCAAAmRIAAE8jAABsCAAAUCMAAEgjAABxAAAAUSMAAKoeAABvCAAAmxIAAFIjAAC2BgAAUyMAAPAOAAD5AQAAyhkAAJwSAABUBAAAnhIAAFUjAABwCAAAViMAAFQjAAA6AQAAVyMAAJYXAABxCAAAoBIAAFgjAAAaAwAAWSMAAJoKAAAWAAAA9x8AAFkKAAA9BwAAoxIAAFsjAADZAgAAXCMAACEXAAB/AQAAzxkAAKQSAABXBAAAphIAAF4jAABzCAAAXyMAAF0jAAD5AAAAYCMAAC0OAAB0CAAAqBIAAGEjAABBBgAAYiMAAJkdAAA1AAAAmx0AANgLAABDBgAAqxIAAGQjAABYBAAAZSMAANIZAAD7AAAA1BkAAKwSAABaBAAArhIAAGcjAAB2CAAAaCMAAGYjAAD7AQAAaSMAAKkSAAB3CAAAsBIAAGojAAB1CAAAayMAAGMjAAByAAAAbCMAANULAAB4CAAAshIAAG0jAABVBAAAbiMAAM0ZAAD8AQAA2BkAALMSAABcBAAAtRIAAHAjAAB5CAAAcSMAAG8jAAD6AQAAciMAAKESAAB6CAAAtxIAAHMjAAByCAAAdCMAAFojAAAXAAAAdSMAAPYgAAB7CAAAuRIAAHYjAACaBwAAdyMAALIQAAD9AQAA3BkAALoSAABeBAAAvBIAAHkjAAB8CAAAeiMAAHgjAACmAQAAeyMAAKQYAAB9CAAAvhIAAHwjAACwAwAAfSMAADALAABzAAAApR0AAN8LAABHBgAAwRIAAH8jAABfBAAAgCMAAN8ZAAD9AAAA4RkAAMISAABhBAAAxBIAAIIjAAB/CAAAgyMAAIEjAAD+AQAAhCMAAL8SAACACAAAxhIAAIUjAAB+CAAAhiMAAH4jAABKAAAAhyMAALIcAACBCAAAyBIAAIgjAADeBQAAiSMAAIgNAAD/AQAA5RkAAMkSAABjBAAAyxIAAIsjAACCCAAAjCMAAIojAADCAAAAjSMAAL4WAACDCAAAzRIAAI4jAACiAgAAjyMAACIKAAAJAAAAkCMAAJEjAACECAAA0BIAAJIjAACFCAAAkyMAAC4VAAAAAgAA6hkAANESAABmBAAA0xIAAJUjAACGCAAAliMAAJQjAAABAgAAlyMAAFUbAACHCAAA1RIAAJgjAAAvBQAAmSMAAK8MAAB0AAAAsB0AAOcLAABMBgAA2BIAAJsjAABnBAAAnCMAAO0ZAAAAAQAA7xkAANkSAABpBAAA2xIAAJ4jAACJCAAAnyMAAJ0jAAACAgAAoCMAANYSAACKCAAA3RIAAKEjAACICAAAoiMAAJojAAB1AAAAoyMAAMoeAACLCAAA3xIAAKQjAADEBgAApSMAAAcPAAADAgAA8xkAAOASAABrBAAA4hIAAKcjAACMCAAAqCMAAKYjAABCAQAAqSMAAKQXAACNCAAA5BIAAKojAAAiAwAAqyMAAKIKAAAYAAAAFCAAAGEKAABIBwAA5xIAAK0jAADhAgAAriMAAC8XAACEAQAA+BkAAOgSAABuBAAA6hIAALAjAACPCAAAsSMAAK8jAAABAQAAsiMAAEQOAACQCAAA7BIAALMjAABPBgAAtCMAALkdAAA4AAAAux0AAO8LAABRBgAA7xIAALYjAABvBAAAtyMAAPsZAAADAQAA/RkAAPASAABxBAAA8hIAALkjAACSCAAAuiMAALgjAAAFAgAAuyMAAO0SAACTCAAA9BIAALwjAACRCAAAvSMAALUjAAB2AAAAviMAAOwLAACUCAAA9hIAAL8jAABsBAAAwCMAAPYZAAAGAgAAARoAAPcSAABzBAAA+RIAAMIjAACVCAAAwyMAAMEjAAAEAgAAxCMAAOUSAACWCAAA+xIAAMUjAACOCAAAxiMAAKwjAAAZAAAAxyMAABMhAACXCAAA/RIAAMgjAAClBwAAySMAAMkQAAAHAgAABRoAAP4SAAB1BAAAABMAAMsjAACYCAAAzCMAAMojAACrAQAAzSMAALIYAACZCAAAAhMAAM4jAAC4AwAAzyMAADgLAAB3AAAAxR0AAPYLAABVBgAABRMAANEjAAB2BAAA0iMAAAgaAAAFAQAAChoAAAYTAAB4BAAACBMAANQjAACbCAAA1SMAANMjAAAIAgAA1iMAAAMTAACcCAAAChMAANcjAACaCAAA2CMAANAjAABNAAAA2SMAAL0cAACdCAAADBMAANojAADjBQAA2yMAAJANAAAJAgAADhoAAA0TAAB6BAAADxMAAN0jAACeCAAA3iMAANwjAADFAAAA3yMAAMMWAACfCAAAERMAAOAjAAClAgAA4SMAACUKAAAEAAAApSEAABUKAADdBwAAExMAAOIjAACVAgAA4yMAAKcWAADFAQAAEhoAABQTAAB8BAAAFhMAAOUjAACgCAAA5iMAAOQjAAC1AAAA5yMAAGINAAChCAAAGBMAAOgjAADHBQAA6SMAAH0cAABdAAAAzx0AAP0LAABZBgAAGxMAAOsjAAB9BAAA7CMAABUaAAAHAQAAFxoAABwTAAB/BAAAHhMAAO4jAACjCAAA7yMAAO0jAAAKAgAA8CMAABkTAACkCAAAIBMAAPEjAACiCAAA8iMAAOojAAA9AAAA8yMAAAoLAAClCAAAIhMAAPQjAACKAwAA9SMAAGAYAAALAgAAGxoAACMTAACBBAAAJRMAAPcjAACmCAAA+CMAAPYjAACPAQAA+SMAAEEQAACnCAAAJxMAAPojAABlBwAA+yMAAGcgAAANAAAAMCAAAGgKAABSBwAAKhMAAP0jAADoAgAA/iMAADwXAACIAQAAIBoAACsTAACEBAAALRMAAAAkAACpCAAAASQAAP8jAAAIAQAAAiQAAFoOAACqCAAALxMAAAMkAABcBgAABCQAANgdAAA6AAAA2h0AAAUMAABeBgAAMhMAAAYkAACFBAAAByQAACMaAAAKAQAAJRoAADMTAACHBAAANRMAAAkkAACsCAAACiQAAAgkAAANAgAACyQAADATAACtCAAANxMAAAwkAACrCAAADSQAAAUkAAB4AAAADiQAAAIMAACuCAAAORMAAA8kAACCBAAAECQAAB4aAAAOAgAAKRoAADoTAACJBAAAPBMAABIkAACvCAAAEyQAABEkAAAMAgAAFCQAACgTAACwCAAAPhMAABUkAACoCAAAFiQAAPwjAAAaAAAAFyQAAHQKAACxCAAAQBMAABgkAAD0AgAAGSQAAFIXAAAPAgAALRoAAEETAACLBAAAQxMAABskAACyCAAAHCQAABokAAAUAQAAHSQAAH8OAACzCAAARRMAAB4kAAByBgAAHyQAAAweAAB5AAAA5B0AAAwMAABiBgAASBMAACEkAACMBAAAIiQAADAaAAAMAQAAMhoAAEkTAACOBAAASxMAACQkAAC1CAAAJSQAACMkAAAQAgAAJiQAAEYTAAC2CAAATRMAACckAAC0CAAAKCQAACAkAAB6AAAAKSQAACcMAAC3CAAATxMAACokAACnBAAAKyQAAGEaAAARAgAANhoAAFATAACQBAAAUhMAAC0kAAC4CAAALiQAACwkAAASAgAALyQAAJgTAAC5CAAAVBMAADAkAAC6CAAAMSQAADIkAAAKAAAAMyQAADQkAAC7CAAAVhMAADUkAAC8CAAANiQAAHIVAAATAgAAOhoAAFcTAACSBAAAWRMAADgkAAC9CAAAOSQAADckAAAUAgAAOiQAAH4bAAC+CAAAWxMAADskAABGBQAAPCQAAMYMAAB7AAAA7h0AABMMAABmBgAAXhMAAD4kAACTBAAAPyQAAD0aAAAOAQAAPxoAAF8TAACVBAAAYRMAAEEkAADACAAAQiQAAEAkAAAVAgAAQyQAAFwTAADBCAAAYxMAAEQkAAC/CAAARSQAAD0kAAB8AAAARiQAAOoeAADCCAAAZRMAAEckAADSBgAASCQAAB4PAAAWAgAAQxoAAGYTAACXBAAAaBMAAEokAADDCAAASyQAAEkkAABKAQAATCQAALIXAADECAAAahMAAE0kAAAqAwAATiQAAKoKAAAbAAAATCAAAG8KAABcBwAAbRMAAFAkAADvAgAAUSQAAEkXAACMAQAASBoAAG4TAACaBAAAcBMAAFMkAADGCAAAVCQAAFIkAAAPAQAAVSQAAHAOAADHCAAAchMAAFYkAABpBgAAVyQAAPcdAAA8AAAA+R0AABsMAABrBgAAdRMAAFkkAACbBAAAWiQAAEsaAAARAQAATRoAAHYTAACdBAAAeBMAAFwkAADJCAAAXSQAAFskAAAYAgAAXiQAAHMTAADKCAAAehMAAF8kAADICAAAYCQAAFgkAAB9AAAAYSQAABgMAADLCAAAfBMAAGIkAACYBAAAYyQAAEYaAAAZAgAAURoAAH0TAACfBAAAfxMAAGUkAADMCAAAZiQAAGQkAAAXAgAAZyQAAGsTAADNCAAAgRMAAGgkAADFCAAAaSQAAE8kAAAcAAAAaiQAADAhAADOCAAAgxMAAGskAACwBwAAbCQAAOAQAAAaAgAAVRoAAIQTAAChBAAAhhMAAG4kAADPCAAAbyQAAG0kAACwAQAAcCQAAMAYAADQCAAAiBMAAHEkAADAAwAAciQAAEALAAB+AAAAAx4AACIMAABvBgAAixMAAHQkAACiBAAAdSQAAFgaAAATAQAAWhoAAIwTAACkBAAAjhMAAHckAADSCAAAeCQAAHYkAAAbAgAAeSQAAIkTAADTCAAAkBMAAHokAADRCAAAeyQAAHMkAABQAAAAfCQAAMgcAADUCAAAkhMAAH0kAADoBQAAfiQAAJgNAAAcAgAAXhoAAJMTAACmBAAAlRMAAIAkAADVCAAAgSQAAH8kAADIAAAAgiQAAMgWAADWCAAAlxMAAIMkAACoAgAAhCQAACgKAAAFAAAA+CEAABoKAAD6BwAAmhMAAIUkAACaAgAAhiQAALAWAADQAQAAYxoAAJsTAACpBAAAnRMAAIgkAADXCAAAiSQAAIckAAC6AAAAiiQAAHENAADYCAAAnxMAAIskAADQBQAAjCQAAJIcAABiAAAADh4AACoMAAB0BgAAohMAAI4kAACqBAAAjyQAAGYaAAAWAQAAaBoAAKMTAACsBAAApRMAAJEkAADaCAAAkiQAAJAkAAAdAgAAkyQAAKATAADbCAAApxMAAJQkAADZCAAAlSQAAI0kAABCAAAAliQAABkLAADcCAAAqRMAAJckAACZAwAAmCQAAHsYAAAeAgAAbBoAAKoTAACuBAAArBMAAJokAADdCAAAmyQAAJkkAACYAQAAnCQAAG4QAADeCAAArhMAAJ0kAAB6BwAAniQAAKAgAAAQAAAAaSAAAHcKAABnBwAAsRMAAKAkAAD3AgAAoSQAAFcXAACRAQAAcRoAALITAACxBAAAtBMAAKMkAADgCAAApCQAAKIkAAAXAQAApSQAAIcOAADhCAAAthMAAKYkAAB3BgAApyQAABceAAA/AAAAGR4AADIMAAB5BgAAuRMAAKkkAACyBAAAqiQAAHQaAAAZAQAAdhoAALoTAAC0BAAAvBMAAKwkAADjCAAArSQAAKskAAAgAgAAriQAALcTAADkCAAAvhMAAK8kAADiCAAAsCQAAKgkAAB/AAAAsSQAAC8MAADlCAAAwBMAALIkAACvBAAAsyQAAG8aAAAhAgAAehoAAMETAAC2BAAAwxMAALUkAADmCAAAtiQAALQkAAAfAgAAtyQAAK8TAADnCAAAxRMAALgkAADfCAAAuSQAAJ8kAAAdAAAAuiQAAIMKAADoCAAAxxMAALskAAADAwAAvCQAAG0XAAAiAgAAfhoAAMgTAAC4BAAAyhMAAL4kAADpCAAAvyQAAL0kAAAjAQAAwCQAAKwOAADqCAAAzBMAAMEkAACNBgAAwiQAAEseAACAAAAAIx4AADkMAAB9BgAAzxMAAMQkAAC5BAAAxSQAAIEaAAAbAQAAgxoAANATAAC7BAAA0hMAAMckAADsCAAAyCQAAMYkAAAjAgAAySQAAM0TAADtCAAA1BMAAMokAADrCAAAyyQAAMMkAACBAAAAzCQAAFQMAADuCAAA1hMAAM0kAADUBAAAziQAALIaAAAkAgAAhxoAANcTAAC9BAAA2RMAANAkAADvCAAA0SQAAM8kAAAlAgAA0iQAAB8UAADwCAAA2xMAANMkAADxCAAA1CQAANUkAAAGAAAA1iQAANckAADyCAAA3RMAANgkAADzCAAA2SQAALYVAAAmAgAAixoAAN4TAAC/BAAA4BMAANskAAD0CAAA3CQAANokAAAnAgAA3SQAAKcbAAD1CAAA4hMAAN4kAABdBQAA3yQAAN0MAACCAAAALR4AAEAMAACBBgAA5RMAAOEkAADABAAA4iQAAI4aAAAdAQAAkBoAAOYTAADCBAAA6BMAAOQkAAD3CAAA5SQAAOMkAAAoAgAA5iQAAOMTAAD4CAAA6hMAAOckAAD2CAAA6CQAAOAkAACDAAAA6SQAAAofAAD5CAAA7BMAAOokAADgBgAA6yQAADUPAAApAgAAlBoAAO0TAADEBAAA7xMAAO0kAAD6CAAA7iQAAOwkAABSAQAA7yQAAMAXAAD7CAAA8RMAAPAkAAAyAwAA8SQAALIKAAAeAAAAhSAAAH4KAABxBwAA9BMAAPMkAAD+AgAA9CQAAGQXAACVAQAAmRoAAPUTAADHBAAA9xMAAPYkAAD9CAAA9yQAAPUkAAAeAQAA+CQAAJ0OAAD+CAAA+RMAAPkkAACEBgAA+iQAADYeAABBAAAAOB4AAEgMAACGBgAA/BMAAPwkAADIBAAA/SQAAJwaAAAgAQAAnhoAAP0TAADKBAAA/xMAAP8kAAAACQAAACUAAP4kAAArAgAAASUAAPoTAAABCQAAARQAAAIlAAD/CAAAAyUAAPskAACEAAAABCUAAEUMAAACCQAAAxQAAAUlAADFBAAABiUAAJcaAAAsAgAAohoAAAQUAADMBAAABhQAAAglAAADCQAACSUAAAclAAAqAgAACiUAAPITAAAECQAACBQAAAslAAD8CAAADCUAAPIkAAAfAAAADSUAAE0hAAAFCQAAChQAAA4lAAC7BwAADyUAAPcQAAAtAgAAphoAAAsUAADOBAAADRQAABElAAAGCQAAEiUAABAlAAC1AQAAEyUAAM4YAAAHCQAADxQAABQlAADIAwAAFSUAAEgLAACFAAAAQh4AAE8MAACKBgAAEhQAABclAADPBAAAGCUAAKkaAAAiAQAAqxoAABMUAADRBAAAFRQAABolAAAJCQAAGyUAABklAAAuAgAAHCUAABAUAAAKCQAAFxQAAB0lAAAICQAAHiUAABYlAABTAAAAHyUAANMcAAALCQAAGRQAACAlAADtBQAAISUAAKANAAAvAgAArxoAABoUAADTBAAAHBQAACMlAAAMCQAAJCUAACIlAADLAAAAJSUAAM0WAAANCQAAHhQAACYlAACrAgAAJyUAACsKAAABAAAASiIAAB8KAAAWCAAAIRQAACglAACfAgAAKSUAALkWAADaAQAAtBoAACIUAADWBAAAJBQAACslAAAOCQAALCUAAColAAC/AAAALSUAAIANAAAPCQAAJhQAAC4lAADZBQAALyUAAKccAABmAAAATR4AAFcMAACPBgAAKRQAADElAADXBAAAMiUAALcaAAAlAQAAuRoAACoUAADZBAAALBQAADQlAAARCQAANSUAADMlAAAwAgAANiUAACcUAAASCQAALhQAADclAAAQCQAAOCUAADAlAABHAAAAOSUAACgLAAATCQAAMBQAADolAACoAwAAOyUAAJYYAAAxAgAAvRoAADEUAADbBAAAMxQAAD0lAAAUCQAAPiUAADwlAAChAQAAPyUAAJsQAAAVCQAANRQAAEAlAACPBwAAQSUAANkgAAASAAAAoiAAAIYKAAB8BwAAOBQAAEMlAAAGAwAARCUAAHIXAACaAQAAwhoAADkUAADeBAAAOxQAAEYlAAAXCQAARyUAAEUlAAAmAQAASCUAALQOAAAYCQAAPRQAAEklAACSBgAASiUAAFYeAABEAAAAWB4AAF8MAACUBgAAQBQAAEwlAADfBAAATSUAAMUaAAAoAQAAxxoAAEEUAADhBAAAQxQAAE8lAAAaCQAAUCUAAE4lAAAzAgAAUSUAAD4UAAAbCQAARRQAAFIlAAAZCQAAUyUAAEslAACGAAAAVCUAAFwMAAAcCQAARxQAAFUlAADcBAAAViUAAMAaAAA0AgAAyxoAAEgUAADjBAAAShQAAFglAAAdCQAAWSUAAFclAAAyAgAAWiUAADYUAAAeCQAATBQAAFslAAAWCQAAXCUAAEIlAAAgAAAAXSUAAJIKAAAfCQAAThQAAF4lAAASAwAAXyUAAIgXAAA1AgAAzxoAAE8UAADlBAAAURQAAGElAAAgCQAAYiUAAGAlAAAyAQAAYyUAANkOAAAhCQAAUxQAAGQlAACoBgAAZSUAAIoeAACHAAAAYh4AAGYMAACYBgAAVhQAAGclAADmBAAAaCUAANIaAAAqAQAA1BoAAFcUAADoBAAAWRQAAGolAAAjCQAAayUAAGklAAA2AgAAbCUAAFQUAAAkCQAAWxQAAG0lAAAiCQAAbiUAAGYlAACIAAAAbyUAAIEMAAAlCQAAXRQAAHAlAAABBQAAcSUAAAMbAAA3AgAA2BoAAF4UAADqBAAAYBQAAHMlAAAmCQAAdCUAAHIlAAA4AgAAdSUAAKYUAAAnCQAAYhQAAHYlAAAoCQAAdyUAAHglAAAHAAAAeSUAAHolAAApCQAAZBQAAHslAAAqCQAAfCUAAPoVAAA5AgAA3BoAAGUUAADsBAAAZxQAAH4lAAArCQAAfyUAAH0lAAA6AgAAgCUAANAbAAAsCQAAaRQAAIElAAB0BQAAgiUAAPQMAACJAAAAbB4AAG0MAACcBgAAbBQAAIQlAADtBAAAhSUAAN8aAAAsAQAA4RoAAG0UAADvBAAAbxQAAIclAAAuCQAAiCUAAIYlAAA7AgAAiSUAAGoUAAAvCQAAcRQAAIolAAAtCQAAiyUAAIMlAACKAAAAjCUAACofAAAwCQAAcxQAAI0lAADuBgAAjiUAAEwPAAA8AgAA5RoAAHQUAADxBAAAdhQAAJAlAAAxCQAAkSUAAI8lAABaAQAAkiUAAM4XAAAyCQAAeBQAAJMlAAA6AwAAlCUAALoKAAAhAAAAviAAAI0KAACGBwAAexQAAJYlAAANAwAAlyUAAH8XAACeAQAA6hoAAHwUAAD0BAAAfhQAAJklAAA0CQAAmiUAAJglAAAtAQAAmyUAAMoOAAA1CQAAgBQAAJwlAACfBgAAnSUAAHUeAABGAAAAdx4AAHUMAAChBgAAgxQAAJ8lAAD1BAAAoCUAAO0aAAAvAQAA7xoAAIQUAAD3BAAAhhQAAKIlAAA3CQAAoyUAAKElAAA+AgAApCUAAIEUAAA4CQAAiBQAAKUlAAA2CQAApiUAAJ4lAACLAAAApyUAAHIMAAA5CQAAihQAAKglAADyBAAAqSUAAOgaAAA/AgAA8xoAAIsUAAD5BAAAjRQAAKslAAA6CQAArCUAAKolAAA9AgAArSUAAHkUAAA7CQAAjxQAAK4lAAAzCQAAryUAAJUlAAAiAAAAsCUAAGohAAA8CQAAkRQAALElAADGBwAAsiUAAA4RAABAAgAA9xoAAJIUAAD7BAAAlBQAALQlAAA9CQAAtSUAALMlAAC6AQAAtiUAANwYAAA+CQAAlhQAALclAADQAwAAuCUAAFALAACMAAAAgR4AAHwMAAClBgAAmRQAALolAAD8BAAAuyUAAPoaAAAxAQAA/BoAAJoUAAD+BAAAnBQAAL0lAABACQAAviUAALwlAABBAgAAvyUAAJcUAABBCQAAnhQAAMAlAAA/CQAAwSUAALklAABWAAAAwiUAAN4cAABCCQAAoBQAAMMlAADyBQAAxCUAAKgNAABCAgAAABsAAKEUAAAABQAAoxQAAMYlAABDCQAAxyUAAMUlAADOAAAAyCUAANIWAABECQAApRQAAMklAACuAgAAyiUAAC4KAAACAAAAnCIAACQKAAAyCAAAqBQAAMslAACkAgAAzCUAAMIWAADkAQAABRsAAKkUAAADBQAAqxQAAM4lAABFCQAAzyUAAM0lAADEAAAA0CUAAI8NAABGCQAArRQAANElAADiBQAA0iUAALwcAABqAAAAjB4AAIQMAACqBgAAsBQAANQlAAAEBQAA1SUAAAgbAAA0AQAAChsAALEUAAAGBQAAsxQAANclAABICQAA2CUAANYlAABDAgAA2SUAAK4UAABJCQAAtRQAANolAABHCQAA2yUAANMlAABMAAAA3CUAADcLAABKCQAAtxQAAN0lAAC3AwAA3iUAALEYAABEAgAADhsAALgUAAAIBQAAuhQAAOAlAABLCQAA4SUAAN8lAACqAQAA4iUAAMgQAABMCQAAvBQAAOMlAACkBwAA5CUAABIhAAAUAAAA2yAAAJUKAACRBwAAvxQAAOYlAAAVAwAA5yUAAI0XAACjAQAAExsAAMAUAAALBQAAwhQAAOklAABOCQAA6iUAAOglAAA1AQAA6yUAAOEOAABPCQAAxBQAAOwlAACtBgAA7SUAAJUeAABJAAAAlx4AAIwMAACvBgAAxxQAAO8lAAAMBQAA8CUAABYbAAA3AQAAGBsAAMgUAAAOBQAAyhQAAPIlAABRCQAA8yUAAPElAABGAgAA9CUAAMUUAABSCQAAzBQAAPUlAABQCQAA9iUAAO4lAACNAAAA9yUAAIkMAABTCQAAzhQAAPglAAAJBQAA+SUAABEbAABHAgAAHBsAAM8UAAAQBQAA0RQAAPslAABUCQAA/CUAAPolAABFAgAA/SUAAL0UAABVCQAA0xQAAP4lAABNCQAA/yUAAOUlAAAjAAAAACYAAKEKAABWCQAA1RQAAAEmAAAhAwAAAiYAAKMXAABIAgAAIBsAANYUAAASBQAA2BQAAAQmAABXCQAABSYAAAMmAABBAQAABiYAAAYPAABYCQAA2hQAAAcmAADDBgAACCYAAMkeAACOAAAAoR4AAJMMAACzBgAA3RQAAAomAAATBQAACyYAACMbAAA5AQAAJRsAAN4UAAAVBQAA4BQAAA0mAABaCQAADiYAAAwmAABJAgAADyYAANsUAABbCQAA4hQAABAmAABZCQAAESYAAAkmAACPAAAAEiYAAK4MAABcCQAA5BQAABMmAAAuBQAAFCYAAFQbAABKAgAAKRsAAOUUAAAXBQAA5xQAABYmAABdCQAAFyYAABUmAABLAgAAGCYAAC0VAABeCQAA6RQAABkmAABfCQAAGiYAABsmAAAIAAAAPyMAABwmAABpCAAA6xQAAB0mAABgCQAAHiYAAD4WAAD3AQAALRsAAOwUAAAZBQAA7hQAACAmAABhCQAAISYAAB8mAABMAgAAIiYAAPkbAABiCQAA8BQAACMmAACLBQAAJCYAAAsNAABxAAAAqx4AAJoMAAC3BgAA8xQAACYmAAAaBQAAJyYAADAbAAA7AQAAMhsAAPQUAAAcBQAA9hQAACkmAABkCQAAKiYAACgmAABNAgAAKyYAAPEUAABlCQAA+BQAACwmAABjCQAALSYAACUmAACQAAAALiYAAEofAABmCQAA+hQAAC8mAAD8BgAAMCYAAGMPAABOAgAANhsAAPsUAAAeBQAA/RQAADImAABnCQAAMyYAADEmAABiAQAANCYAANwXAABoCQAA/xQAADUmAABCAwAANiYAAMIKAAAXAAAA9yAAAJwKAACbBwAAAhUAADgmAAAcAwAAOSYAAJoXAACnAQAAOxsAAAMVAAAhBQAABRUAADsmAABqCQAAPCYAADomAAA8AQAAPSYAAPcOAABrCQAABxUAAD4mAAC6BgAAPyYAALQeAABLAAAAth4AAKIMAAC8BgAAChUAAEEmAAAiBQAAQiYAAD4bAAA+AQAAQBsAAAsVAAAkBQAADRUAAEQmAABtCQAARSYAAEMmAABQAgAARiYAAAgVAABuCQAADxUAAEcmAABsCQAASCYAAEAmAACRAAAASSYAAJ8MAABvCQAAERUAAEomAAAfBQAASyYAADkbAABRAgAARBsAABIVAAAmBQAAFBUAAE0mAABwCQAATiYAAEwmAABPAgAATyYAAAAVAABxCQAAFhUAAFAmAABpCQAAUSYAADcmAAAkAAAAUiYAAIchAAByCQAAGBUAAFMmAADRBwAAVCYAACURAABSAgAASBsAABkVAAAoBQAAGxUAAFYmAABzCQAAVyYAAFUmAAC/AQAAWCYAAOoYAAB0CQAAHRUAAFkmAADYAwAAWiYAAFgLAACSAAAAwB4AAKkMAADABgAAIBUAAFwmAAApBQAAXSYAAEsbAABAAQAATRsAACEVAAArBQAAIxUAAF8mAAB2CQAAYCYAAF4mAABTAgAAYSYAAB4VAAB3CQAAJRUAAGImAAB1CQAAYyYAAFsmAABZAAAAZCYAAOkcAAB4CQAAJxUAAGUmAAD3BQAAZiYAALANAABUAgAAURsAACgVAAAtBQAAKhUAAGgmAAB5CQAAaSYAAGcmAADRAAAAaiYAANcWAAB6CQAALBUAAGsmAACxAgAAbCYAADEKAAAJAAAAkSMAACoKAACFCAAALxUAAG0mAACqAgAAbiYAAMwWAAABAgAAVhsAADAVAAAwBQAAMhUAAHAmAAB7CQAAcSYAAG8mAADKAAAAciYAAJ8NAAB8CQAANBUAAHMmAADsBQAAdCYAANIcAAB1AAAAyx4AALEMAADFBgAANxUAAHYmAAAxBQAAdyYAAFkbAABDAQAAWxsAADgVAAAzBQAAOhUAAHkmAAB+CQAAeiYAAHgmAABVAgAAeyYAADUVAAB/CQAAPBUAAHwmAAB9CQAAfSYAAHUmAABSAAAAfiYAAEcLAACACQAAPhUAAH8mAADHAwAAgCYAAM0YAABWAgAAXxsAAD8VAAA1BQAAQRUAAIImAACBCQAAgyYAAIEmAAC0AQAAhCYAAPYQAACCCQAAQxUAAIUmAAC6BwAAhiYAAEwhAAAZAAAAFCEAAKQKAACmBwAARhUAAIgmAAAkAwAAiSYAAKgXAACsAQAAZBsAAEcVAAA4BQAASRUAAIsmAACECQAAjCYAAIomAABEAQAAjSYAAA4PAACFCQAASxUAAI4mAADIBgAAjyYAANQeAABOAAAA1h4AALkMAADKBgAAThUAAJEmAAA5BQAAkiYAAGcbAABGAQAAaRsAAE8VAAA7BQAAURUAAJQmAACHCQAAlSYAAJMmAABYAgAAliYAAEwVAACICQAAUxUAAJcmAACGCQAAmCYAAJAmAACTAAAAmSYAALYMAACJCQAAVRUAAJomAAA2BQAAmyYAAGIbAABZAgAAbRsAAFYVAAA9BQAAWBUAAJ0mAACKCQAAniYAAJwmAABXAgAAnyYAAEQVAACLCQAAWhUAAKAmAACDCQAAoSYAAIcmAAAlAAAAoiYAALEKAACMCQAAXBUAAKMmAAAxAwAApCYAAL8XAABaAgAAcRsAAF0VAAA/BQAAXxUAAKYmAACNCQAApyYAAKUmAABRAQAAqCYAADQPAACOCQAAYRUAAKkmAADfBgAAqiYAAAkfAACUAAAA4B4AAMAMAADOBgAAZBUAAKwmAABABQAArSYAAHQbAABIAQAAdhsAAGUVAABCBQAAZxUAAK8mAACQCQAAsCYAAK4mAABbAgAAsSYAAGIVAACRCQAAaRUAALImAACPCQAAsyYAAKsmAACVAAAAtCYAANwMAACSCQAAaxUAALUmAABcBQAAtiYAAKYbAABcAgAAehsAAGwVAABEBQAAbhUAALgmAACTCQAAuSYAALcmAABdAgAAuiYAALUVAACUCQAAcBUAALsmAACVCQAAvCYAAL0mAAAKAAAANCQAAC0KAAC8CAAAcxUAAL8mAACtAgAAwCYAANEWAAAUAgAAfxsAAHQVAABHBQAAdhUAAMImAACXCQAAwyYAAMEmAADNAAAAxCYAAKcNAACYCQAAeBUAAMUmAADxBQAAxiYAAN0cAAB8AAAA6x4AAMgMAADTBgAAexUAAMgmAABIBQAAySYAAIIbAABLAQAAhBsAAHwVAABKBQAAfhUAAMsmAACaCQAAzCYAAMomAABfAgAAzSYAAHkVAACbCQAAgBUAAM4mAACZCQAAzyYAAMcmAABVAAAA0CYAAE8LAACcCQAAghUAANEmAADPAwAA0iYAANsYAABgAgAAiBsAAIMVAABMBQAAhRUAANQmAACdCQAA1SYAANMmAAC5AQAA1iYAAA0RAACeCQAAhxUAANcmAADFBwAA2CYAAGkhAAAcAAAAMSEAAKwKAACxBwAAihUAANomAAAsAwAA2yYAALYXAACxAQAAjRsAAIsVAABPBQAAjRUAAN0mAACgCQAA3iYAANwmAABMAQAA3yYAACUPAAChCQAAjxUAAOAmAADWBgAA4SYAAPQeAABRAAAA9h4AANAMAADYBgAAkhUAAOMmAABQBQAA5CYAAJAbAABOAQAAkhsAAJMVAABSBQAAlRUAAOYmAACjCQAA5yYAAOUmAABiAgAA6CYAAJAVAACkCQAAlxUAAOkmAACiCQAA6iYAAOImAACXAAAA6yYAAM0MAAClCQAAmRUAAOwmAABNBQAA7SYAAIsbAABjAgAAlhsAAJoVAABUBQAAnBUAAO8mAACmCQAA8CYAAO4mAABhAgAA8SYAAIgVAACnCQAAnhUAAPImAACfCQAA8yYAANkmAAAnAAAA9CYAALkKAACoCQAAoBUAAPUmAAA5AwAA9iYAAM0XAABkAgAAmhsAAKEVAABWBQAAoxUAAPgmAACpCQAA+SYAAPcmAABZAQAA+iYAAEsPAACqCQAApRUAAPsmAADtBgAA/CYAACkfAACYAAAAAB8AANcMAADcBgAAqBUAAP4mAABXBQAA/yYAAJ0bAABQAQAAnxsAAKkVAABZBQAAqxUAAAEnAACsCQAAAicAAAAnAABlAgAAAycAAKYVAACtCQAArRUAAAQnAACrCQAABScAAP0mAACZAAAABicAAPMMAACuCQAArxUAAAcnAABzBQAACCcAAM8bAABmAgAAoxsAALAVAABbBQAAshUAAAonAACvCQAACycAAAknAABnAgAADCcAAPkVAACwCQAAtBUAAA0nAACxCQAADicAAA8nAAAGAAAA1yQAADAKAADzCAAAtxUAABAnAACwAgAAEScAANYWAAAnAgAAqBsAALgVAABeBQAAuhUAABMnAACyCQAAFCcAABInAADQAAAAFScAAK8NAACzCQAAvBUAABYnAAD2BQAAFycAAOgcAACDAAAACx8AAN8MAADhBgAAvxUAABknAABfBQAAGicAAKsbAABTAQAArRsAAMAVAABhBQAAwhUAABwnAAC1CQAAHScAABsnAABoAgAAHicAAL0VAAC2CQAAxBUAAB8nAAC0CQAAICcAABgnAABYAAAAIScAAFcLAAC3CQAAxhUAACInAADXAwAAIycAAOkYAABpAgAAsRsAAMcVAABjBQAAyRUAACUnAAC4CQAAJicAACQnAAC+AQAAJycAACQRAAC5CQAAyxUAACgnAADQBwAAKScAAIYhAAAfAAAATiEAALQKAAC8BwAAzhUAACsnAAA0AwAALCcAAMQXAAC2AQAAthsAAM8VAABmBQAA0RUAAC4nAAC7CQAALycAAC0nAABUAQAAMCcAADwPAAC8CQAA0xUAADEnAADkBgAAMicAABQfAABUAAAAFh8AAOcMAADmBgAA1hUAADQnAABnBQAANScAALkbAABWAQAAuxsAANcVAABpBQAA2RUAADcnAAC+CQAAOCcAADYnAABrAgAAOScAANQVAAC/CQAA2xUAADonAAC9CQAAOycAADMnAACaAAAAPCcAAOQMAADACQAA3RUAAD0nAABkBQAAPicAALQbAABsAgAAvxsAAN4VAABrBQAA4BUAAEAnAADBCQAAQScAAD8nAABqAgAAQicAAMwVAADCCQAA4hUAAEMnAAC6CQAARCcAAConAAAoAAAARScAAMEKAADDCQAA5BUAAEYnAABBAwAARycAANsXAABtAgAAwxsAAOUVAABtBQAA5xUAAEknAADECQAASicAAEgnAABhAQAASycAAGIPAADFCQAA6RUAAEwnAAD7BgAATScAAEkfAACbAAAAIB8AAO4MAADqBgAA7BUAAE8nAABuBQAAUCcAAMYbAABYAQAAyBsAAO0VAABwBQAA7xUAAFInAADHCQAAUycAAFEnAABuAgAAVCcAAOoVAADICQAA8RUAAFUnAADGCQAAVicAAE4nAACcAAAAVycAAAoNAADJCQAA8xUAAFgnAACKBQAAWScAAPgbAABvAgAAzBsAAPQVAAByBQAA9hUAAFsnAADKCQAAXCcAAFonAABwAgAAXScAAD0WAADLCQAA+BUAAF4nAADMCQAAXycAAGAnAAAHAAAAeiUAADMKAAAqCQAA+xUAAGEnAACzAgAAYicAANsWAAA6AgAA0RsAAPwVAAB1BQAA/hUAAGQnAADNCQAAZScAAGMnAADTAAAAZicAALcNAADOCQAAABYAAGcnAAD7BQAAaCcAAPMcAACKAAAAKx8AAPYMAADvBgAAAxYAAGonAAB2BQAAaycAANQbAABbAQAA1hsAAAQWAAB4BQAABhYAAG0nAADQCQAAbicAAGwnAABxAgAAbycAAAEWAADRCQAACBYAAHAnAADPCQAAcScAAGknAABbAAAAcicAAF8LAADSCQAAChYAAHMnAADfAwAAdCcAAPcYAAByAgAA2hsAAAsWAAB6BQAADRYAAHYnAADTCQAAdycAAHUnAADDAQAAeCcAADsRAADUCQAADxYAAHknAADbBwAAeicAAKMhAAAiAAAAayEAALwKAADHBwAAEhYAAHwnAAA8AwAAfScAANIXAAC7AQAA3xsAABMWAAB9BQAAFRYAAH8nAADWCQAAgCcAAH4nAABcAQAAgScAAFMPAADXCQAAFxYAAIInAADyBgAAgycAADQfAABXAAAANh8AAP4MAAD0BgAAGhYAAIUnAAB+BQAAhicAAOIbAABeAQAA5BsAABsWAACABQAAHRYAAIgnAADZCQAAiScAAIcnAAB0AgAAiicAABgWAADaCQAAHxYAAIsnAADYCQAAjCcAAIQnAACdAAAAjScAAPsMAADbCQAAIRYAAI4nAAB7BQAAjycAAN0bAAB1AgAA6BsAACIWAACCBQAAJBYAAJEnAADcCQAAkicAAJAnAABzAgAAkycAABAWAADdCQAAJhYAAJQnAADVCQAAlScAAHsnAAApAAAAlicAAMkKAADeCQAAKBYAAJcnAABJAwAAmCcAAOkXAAB2AgAA7BsAACkWAACEBQAAKxYAAJonAADfCQAAmycAAJknAABpAQAAnCcAAHkPAADgCQAALRYAAJ0nAAAJBwAAnicAAGkfAACeAAAAQB8AAAUNAAD4BgAAMBYAAKAnAACFBQAAoScAAO8bAABgAQAA8RsAADEWAACHBQAAMxYAAKMnAADiCQAApCcAAKInAAB3AgAApScAAC4WAADjCQAANRYAAKYnAADhCQAApycAAJ8nAACfAAAAqCcAACENAADkCQAANxYAAKknAAChBQAAqicAACEcAAB4AgAA9RsAADgWAACJBQAAOhYAAKwnAADlCQAArScAAKsnAAB5AgAAricAAIEWAADmCQAAPBYAAK8nAADnCQAAsCcAALEnAAAIAAAAHCYAACcKAABgCQAAPxYAALInAACnAgAAsycAAMcWAABMAgAA+hsAAEAWAACMBQAAQhYAALUnAADoCQAAticAALQnAADHAAAAtycAAJcNAADpCQAARBYAALgnAADnBQAAuScAAMccAACQAAAASx8AAA0NAAD9BgAARxYAALsnAACNBQAAvCcAAP0bAABjAQAA/xsAAEgWAACPBQAAShYAAL4nAADrCQAAvycAAL0nAAB6AgAAwCcAAEUWAADsCQAATBYAAMEnAADqCQAAwicAALonAABPAAAAwycAAD8LAADtCQAAThYAAMQnAAC/AwAAxScAAL8YAAB7AgAAAxwAAE8WAACRBQAAURYAAMcnAADuCQAAyCcAAMYnAACvAQAAyScAAN8QAADvCQAAUxYAAMonAACvBwAAyycAAC8hAAAkAAAAiCEAAMQKAADSBwAAVhYAAM0nAABEAwAAzicAAOAXAADAAQAACBwAAFcWAACUBQAAWRYAANAnAADxCQAA0ScAAM8nAABkAQAA0icAAGoPAADyCQAAWxYAANMnAAAABwAA1CcAAFQfAABaAAAAVh8AABUNAAACBwAAXhYAANYnAACVBQAA1ycAAAscAABmAQAADRwAAF8WAACXBQAAYRYAANknAAD0CQAA2icAANgnAAB9AgAA2ycAAFwWAAD1CQAAYxYAANwnAADzCQAA3ScAANUnAACgAAAA3icAABINAAD2CQAAZRYAAN8nAACSBQAA4CcAAAYcAAB+AgAAERwAAGYWAACZBQAAaBYAAOInAAD3CQAA4ycAAOEnAAB8AgAA5CcAAFQWAAD4CQAAahYAAOUnAADwCQAA5icAAMwnAAAmAAAA5ycAAKkKAAD5CQAAbBYAAOgnAAApAwAA6ScAALEXAAB/AgAAFRwAAG0WAACbBQAAbxYAAOsnAAD6CQAA7CcAAOonAABJAQAA7ScAAB0PAAD7CQAAcRYAAO4nAADRBgAA7ycAAOkeAAChAAAAYB8AABwNAAAGBwAAdBYAAPEnAACcBQAA8icAABgcAABoAQAAGhwAAHUWAACeBQAAdxYAAPQnAAD9CQAA9ScAAPMnAACAAgAA9icAAHIWAAD+CQAAeRYAAPcnAAD8CQAA+CcAAPAnAACWAAAA+ScAAMUMAAD/CQAAexYAAPonAABFBQAA+ycAAH0bAACBAgAAHhwAAHwWAACgBQAAfhYAAP0nAAAACgAA/icAAPwnAABeAgAA/ycAAHEVAAABCgAAgBYAAAAoAACWCQAAASgAAL4mAAA=&quot;}};\n",
       "        var data = [];\n",
       "\n",
       "        function getOpacity(){\n",
       "            let opacity = $(&quot;#opacity-range&quot;).val();\n",
       "            return opacity == 100 ? 1 : opacity / 300;\n",
       "        }\n",
       "\n",
       "        function makePlot(surface, hemisphere, divId) {\n",
       "\n",
       "            decodeHemisphere(connectomeInfo, surface, hemisphere);\n",
       "            var info = connectomeInfo[surface + &quot;_&quot; + hemisphere];\n",
       "            info[&quot;type&quot;] = &quot;mesh3d&quot;;\n",
       "            info[&quot;color&quot;] = &quot;#aaaaaa&quot;;\n",
       "            info[&quot;opacity&quot;] = getOpacity();\n",
       "            info[&#x27;lighting&#x27;] = getLighting();\n",
       "            data.push(info);\n",
       "\n",
       "            let layout = getLayout(&quot;connectome-plot&quot;, &quot;select-view&quot;, false);\n",
       "\n",
       "            layout[&#x27;title&#x27;] = {\n",
       "                text: connectomeInfo[&#x27;connectome&#x27;][&#x27;title&#x27;],\n",
       "                font: {size: connectomeInfo[&#x27;connectome&#x27;][&quot;title_fontsize&quot;],\n",
       "                       color: textColor(connectomeInfo[&quot;black_bg&quot;])},\n",
       "                yref: &#x27;paper&#x27;,\n",
       "                y: .9};\n",
       "\n",
       "            let config = getConfig();\n",
       "\n",
       "            Plotly.plot(divId, data, layout, config);\n",
       "        }\n",
       "\n",
       "        function addPlot() {\n",
       "\n",
       "            for (let hemisphere of [&quot;left&quot;, &quot;right&quot;]) {\n",
       "                makePlot(&quot;pial&quot;, hemisphere, &quot;connectome-plot&quot;);\n",
       "            }\n",
       "            if(connectomeInfo[&quot;connectome&quot;][&quot;markers_only&quot;]){\n",
       "                return;\n",
       "            }\n",
       "            if(connectomeInfo[&quot;connectome&quot;][&quot;colorbar&quot;]){\n",
       "                addColorbar(\n",
       "                    connectomeInfo[&quot;connectome&quot;][&quot;line_colorscale&quot;],\n",
       "                    connectomeInfo[&quot;connectome&quot;][&quot;line_cmin&quot;],\n",
       "                    connectomeInfo[&quot;connectome&quot;][&quot;line_cmax&quot;],\n",
       "                    &quot;connectome-plot&quot;, getLayout(&quot;connectome-plot&quot;,\n",
       "                                                 &quot;select-view&quot;, false),\n",
       "                    getConfig(),\n",
       "                    connectomeInfo[&quot;connectome&quot;][&quot;cbar_fontsize&quot;],\n",
       "                    connectomeInfo[&quot;connectome&quot;][&quot;cbar_height&quot;],\n",
       "                    textColor(connectomeInfo[&quot;black_bg&quot;]));\n",
       "            }\n",
       "        }\n",
       "\n",
       "        function updateOpacity() {\n",
       "            let opacity = getOpacity();\n",
       "            data[0][&quot;opacity&quot;] = opacity;\n",
       "            data[1][&quot;opacity&quot;] = opacity;\n",
       "            Plotly.react(&quot;connectome-plot&quot;, data,\n",
       "                         getLayout(&quot;connectome-plot&quot;, &quot;select-view&quot;, false),\n",
       "                         getConfig());\n",
       "        }\n",
       "\n",
       "        function surfaceRelayout(){\n",
       "            return updateLayout(&quot;connectome-plot&quot;, &quot;select-view&quot;, false);\n",
       "        }\n",
       "\n",
       "        function addConnectome() {\n",
       "            let info = connectomeInfo[&quot;connectome&quot;];\n",
       "\n",
       "            for (let attribute of [&quot;marker_x&quot;, &quot;marker_y&quot;, &quot;marker_z&quot;]) {\n",
       "                if (!(attribute in info)) {\n",
       "                    info[attribute] = Array.from(decodeBase64(\n",
       "                        info[&quot;_&quot; + attribute], &quot;float32&quot;));\n",
       "                }\n",
       "            }\n",
       "\n",
       "            let pyplot_elements = [{\n",
       "                type: &#x27;scatter3d&#x27;,\n",
       "                mode: &#x27;markers+text&#x27;,\n",
       "                x: info[&quot;marker_x&quot;],\n",
       "                y: info[&quot;marker_y&quot;],\n",
       "                z: info[&quot;marker_z&quot;],\n",
       "                opacity: 1,\n",
       "                text: info[&quot;marker_labels&quot;],\n",
       "                marker: {\n",
       "                    size: info[&quot;marker_size&quot;],\n",
       "                    color: info[&quot;marker_color&quot;],\n",
       "                    colorscale: info[&quot;marker_colorscale&quot;],\n",
       "                }\n",
       "            }]\n",
       "\n",
       "            if (!(info[&quot;markers_only&quot;])) {\n",
       "                for (let attribute of [&quot;con_x&quot;, &quot;con_y&quot;, &quot;con_z&quot;, &quot;con_w&quot;]) {\n",
       "                  if (!(attribute in info)) {\n",
       "                    info[attribute] = Array.from(decodeBase64(\n",
       "                        info[&quot;_&quot; + attribute], &quot;float32&quot;));\n",
       "                    for (let i = 2; i &lt; info[attribute].length; i += 3) {\n",
       "                        info[attribute][i] = null;\n",
       "                    }\n",
       "                  }\n",
       "                }\n",
       "                pyplot_elements.push({\n",
       "                  type: &#x27;scatter3d&#x27;,\n",
       "                  mode: &#x27;lines&#x27;,\n",
       "                  x: info[&quot;con_x&quot;],\n",
       "                  y: info[&quot;con_y&quot;],\n",
       "                  z: info[&quot;con_z&quot;],\n",
       "                  opacity: 1,\n",
       "                  line: {\n",
       "                      width: info[&quot;line_width&quot;],\n",
       "                      color: info[&quot;con_w&quot;],\n",
       "                      colorscale: info[&quot;line_colorscale&quot;],\n",
       "                      cmin: info[&quot;line_cmin&quot;],\n",
       "                      cmax: info[&quot;line_cmax&quot;]\n",
       "                  }\n",
       "              })\n",
       "            }\n",
       "\n",
       "            Plotly.plot(&#x27;connectome-plot&#x27;, pyplot_elements);\n",
       "        }\n",
       "    &lt;/script&gt;\n",
       "    &lt;script&gt;\n",
       "        $(document).ready(\n",
       "            function() {\n",
       "                addPlot();\n",
       "                addConnectome();\n",
       "                $(&quot;#select-view&quot;).change(surfaceRelayout);\n",
       "                $(&quot;#connectome-plot&quot;).mouseup(function() {\n",
       "                    $(&quot;#select-view&quot;).val(&quot;custom&quot;);\n",
       "                });\n",
       "                $(window).resize(surfaceRelayout);\n",
       "                $(&quot;#opacity-range&quot;).change(updateOpacity);\n",
       "\n",
       "            });\n",
       "    &lt;/script&gt;\n",
       "&lt;/head&gt;\n",
       "\n",
       "&lt;body&gt;\n",
       "\n",
       "    &lt;div id=&quot;connectome-plot&quot;&gt;&lt;/div&gt;\n",
       "    &lt;select id=&quot;select-view&quot;&gt;\n",
       "        &lt;option value=&quot;left&quot;&gt;view: Left&lt;/option&gt;\n",
       "        &lt;option value=&quot;right&quot;&gt;view: Right&lt;/option&gt;\n",
       "        &lt;option value=&quot;front&quot;&gt;view: Front&lt;/option&gt;\n",
       "        &lt;option value=&quot;back&quot;&gt;view: Back&lt;/option&gt;\n",
       "        &lt;option value=&quot;top&quot;&gt;view: Top&lt;/option&gt;\n",
       "        &lt;option value=&quot;bottom&quot;&gt;view: Bottom&lt;/option&gt;\n",
       "        &lt;option value=&quot;custom&quot;&gt;view: -&lt;/option&gt;\n",
       "    &lt;/select&gt;\n",
       "    &lt;input id=&quot;opacity-range&quot; type=&quot;range&quot; min=&quot;0&quot; max=&quot;100&quot; value=&quot;30&quot;/&gt;\n",
       "\n",
       "&lt;/body&gt;\n",
       "\n",
       "&lt;/html&gt;\n",
       "\" width=\"600\" height=\"400\" frameBorder=\"0\"></iframe>"
      ],
      "text/plain": [
       "<nilearn.plotting.html_connectome.ConnectomeView at 0x7ff9fa73df90>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 576x576 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from nilearn import plotting\n",
    "from nimare import utils\n",
    "\n",
    "plt.figure(figsize=(8, 8))\n",
    "locs = dat['locs']\n",
    "view = plotting.view_markers(utils.tal2mni(locs),\n",
    "                             marker_labels=['%d'%k for k in np.arange(locs.shape[0])],\n",
    "                             marker_color='purple',\n",
    "                             marker_size=5)\n",
    "view"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {}
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# finger data from the dataglove\n",
    "dg = dat['dg']\n",
    "nfingers = dg.shape[1]\n",
    "\n",
    "for j in range(dg.shape[-1]):\n",
    "  plt.plot(dg[:100000, j])\n",
    "\n",
    "plt.xlabel('time sample (1000Hz)')\n",
    "plt.ylabel('finger flexion')\n",
    "plt.xlim([0, 100000])\n",
    "plt.legend(dat['stimtext'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {}
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# voltage data in the same time period\n",
    "V = dat['V'].astype('float32')\n",
    "plt.imshow(V[:100000, :].T,\n",
    "           aspect='auto',\n",
    "           vmax=4,\n",
    "           vmin=-4,\n",
    "           cmap='bwr')\n",
    "\n",
    "plt.xlabel('time sample (1000Hz)')\n",
    "plt.ylabel('finger flexion')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {}
   },
   "outputs": [],
   "source": [
    "# compute correlations between high frequency band and each digit\n",
    "from scipy import signal\n",
    "\n",
    "V = dat['V'].astype('float32')\n",
    "b, a = signal.butter(3, [50], btype='high', fs=1000)\n",
    "V = signal.filtfilt(b, a, V, 0)\n",
    "V = np.abs(V)**2\n",
    "b, a = signal.butter(3, [3], btype='low', fs=1000)\n",
    "V = signal.filtfilt(b, a, V, 0)\n",
    "\n",
    "nt, nchan = V.shape\n",
    "\n",
    "cc = np.zeros((nchan,nfingers))\n",
    "for j in range(nchan):\n",
    "  for k in range(nfingers):\n",
    "    cc[j, k] = np.corrcoef(V[:, j], dg[:, k])[0, 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {}
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplot(1, 2, 1)\n",
    "plt.imshow(cc.T, aspect='auto')\n",
    "plt.colorbar()\n",
    "plt.xlabel('channels')\n",
    "plt.ylabel('fingers')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {}
   },
   "outputs": [
    {
     "data": {
      "image/png": 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PUCbhmCCINsb1X6zDpR+tjnQzoh5t9G8EG/IPxe3x9iKbiohmLJFugIeTADQKPx+IVEOI6ENMT9HW1ipNaFCIm7q2JrITBEEQrQNbjtwkNh71MFuBPI4JgmhrLNlTGukmHBU0JwKWaBqypYijgWgRjtcrilIX6UYQ0UlbTlVxJNfOTivbWj5ogiAIonUhsfHox+mmZ0gQBEH4R6ZUFWGFbCniaIByHBNRT1sujtechZrWIIIgCCIcsKJ4JDoe/ZCnE0EQBBEIbY7jCDbkHwqJ8cTRQLQIx/slSXJJkrRHkqTbIt0YIroQ59JZWUWRa0gEaE5+Z1qDCIIgiHDA8+LSQnPU43RTbkWCIAjCP4qQqqKtOXG1BszjWKKFmIhiIi0cFwF4HMA1AM4BsAbAR5Ik3RvRVhFRhbgxfWbWzgi2pPWRm3HCSxt6giAIIhyYPLsbF3kcH/WQxzFBEAQRCPI4Di9UnJY4GohojmNFUeYCmCu8NFuSpDgAj0mS9LaiiOdbgCRJtwK4FQB69uzZeg0lIkpbnkq1OY5D9Thuy3eOIAiCCDcuWW76TURUQ+lGoot1ORXolBKLzHaJkW4KQRAEAO0BIzkmtTyU45g4Goi0x7ERPwPIANBL/wtFUT5RFGWcoijjOnTo0OoNIyKDXgBtS94xSrM8jlu4MQRBEAQBr/cRbXaOftqSTXU0cOnHqzHl1SWRbgZBEASnOftRommYxzHdWyKaiUbhWNH9n2jj6A8225KHU/NyHNMQIpqPzenGPT9sRm5ZfaSbQhBElMDWFxIdj37akk1FRC9/bi3EprzKSDeDIAgD3G24UH1rwO4vpawgoploFI4vBlAG4GCkG0JEB/optC1tVOVmhAa1odtEhJGsgmr8vqUQT83cEemmEAQRJbB1mHIcH53M3laE79bmAaBnSEQHd3+/GRd+sCrSzSAIwgBxT0m6ccvDorfcdHOJKCaiOY4lSfoFwDoAWQDMAC7z/He3Pr8x0XbRC6ZtKTRWvNJg1xJWkZVyUBEtAetHDXZ3hFtCEES0wJZhd5i9VT9csh9TB3XAoM4pYf2eo51Hf9uGY/u2w9kjugb1/n99uwkAcOXEnvwQgKq5EwRBEEY0x5GJaBp2f9uScxxx9BFpj+M9AG4E8AuAnwAMAXCtoijvRrRVRFShX5/cbcg7RlaOfKGmdZ1oCaxmVU1wuOksLxqos7vw0uzdqLU5I90Uog3D1iNnGDc59XYXXp6zG1d8siZs3/FP4du1ebjru81H9LdOSlVBEARBBKA5+1GiaVw8xzHdWyJ6iahwrCjKI4qiDFQUJUFRlHhFUcYqivJ1JNtERB/6XEptyeNYdDkO9bIVShNOtABML6Y8mNHBr5sK8NHS/fhhXX6km0K0Ybh3TBgPchudapRDZQMdkoQT8nAiCIIgAuHWeBxHsCH/UOQoTf+1PLsUAx6djWqywwhE3uOYIJqkTec41gjHlOOYaH2cHuWYHI6jg7I6BwCg3uGKcEuItgxbX8J5kNuW1vrm0NxCRc4o26i2Zdpq0aloKwi1IrsMN85YDxcZPm2GaOuD0YY2x7ECm9ONHCqa3WJEq8fxe4v2weGWsaOwOtJNIaIAEo6JqEe/mLelxPGi13CoG4poW3yIoxMmHB8N6S8PVTXC5mwbuZhpeBORhK3D4cxx7CTRJiiak0bILSvcxqI5JfK01cOSaLPrH/wlC4t2l6Ck1h7pphCtRJuKZj0CtKkqgOf+2ompry1BvZ2cGFoCdn+jrR+aPMUPoqtVRKQg4ZiIenw8jtuQd4zW4zi0v40yO5w4Som2sKlAHPfSItz85YZINyOstJaAX2930YYgSlAUBXVR9iyUVshx3FZFtFBxuI5cOHa6ZS7a0WFz5Ik20aC10ITBR8E9sHhqO9RQLYE2A603gdHnOP55YwEAoNwTBUc0D9b/oq0fUtFcQoSEYyLq0c+h0eaZEE5EL+NQjWlFUVBSa8OB0rqWbhbRhjhachsz8WTFvrIIt+SfwfjnF2D88wsi3QwCwKysIgx7ci7yyhsi3RQOmxbCeZDbVkW0UGmOcOySlajbqLZl2mqfF6/b3oz+3FLEWtTtMR2eth2OFls3UvjLcdzgpDHSEkRrqgomHEdZs4gIQcIxEfXoUzSEe5NzoLQOV3yyBlUNkT9FVY7A41jy+CTKCnDam8tw0utLw9Ayoq3g8AhD0XzqvP1QNe75cXOkm/GPosHhRoOjbaT9iHb+t0EthHigLHoOAd2tEFZJgmZwNCdVhcstcxsr2jasbZG2mlNXPIBqiIL8/Sw82+5sm8+jLUK6cWDE+6MoCsyeMdKcg0vCS7QWx2MolKyCAAnHxFGAfi8T7s3N9BU5WH2gHPN2FIf1e4LhSHIcs7+RFYWq0UcZWQVVWHWUecSyjWw0C8d3fbcJf287HOlmtCpttYgSER0olOM4amiOuOV0K7zwKen0kUFRFLw8ZzcOlte3WY9jMZLQFgVCFBeOo6AtROtAHseBYXtvSVL/TWOkZdF7HJfX2aPKzpeOiko3RLgh4ZiIevSnXNOXHwjrCafVpE6O0eD1cCQex0fy/tHPzMNbC/aG9gVEyJz73kpcOX1tpJsREtF6+i1iC6NX0LaCalz68eqomA8AQcCPZiWf+MfDvIHJ4zjyNMvjWKYcx5HmUFUjPlyyH//6ZtNRsd6GA1G0i4YCt2YTE8Ui3xaiddCvN3aXG4/+tg3FNbYItSi6YOuExSRBlgGTKTwex4qi4LfNBVExD7QmMj+MV5Bf0YCxzy3A71sORbhVXh2iLaUJJfxDwjER9ejnqv9tKMCsrMKwfZ/FrA4LZxQY8NrieEF6HCv6fwAP/ZKFP/wsQHV2FyobnHhrQfaRNpP4B+M8Crww2CYvHDw1cwfW5VRgV1FN2L4jFMh2I6IBtjaFU+hqq96XodKcZ+ByKzxEloT6yMDm9MoGR5v1ehT7XjSkh2Amhc0pw+mW8d3aPArJ/4ejX29W7ivDt2vz8OysnRFqUXTxzeqDAACLyQRZUcJ2uLJqfznu/XFr2PekY5+dj//+b0tYvyMU2DrulhV+WPGV555HEi4ct9G1idBCwjER9RjtZfaVhC/XI1sMo+F0TVMcL8j2yNx7yPvaD+vz8Z8fthi+v4GKfxABcHo2S9EcphRO4ZjlcYuGgyQAPP4iep8G0RYQvWPCBQmZwdGc++R0ez2O26q3a6QRPcbb6jMQr9sWBV6+JkEUm5VViEd+24bPVuREuFVEONHPo2xYNlXrIdTC5UcjB0rr8Otm1fnIYpKgKN7DlaYOekpr7dhRWB30d5XV2QEA+ZXhLQZcXu/Ar5si79HL4DaVsNePhnRdLOo7WvZARGQh4ZiIeowSsreVnEqiPRKsjs3+JlihWR/m73DJeODnrWEV54mjB+aFEc2ZEY60bW3B4Cf+OUTBWSaHrS/h9JCMhk3T0YD+GVQ3OoMu7uuSlVY5BGgrKIoScog182RVlLbrZS/2vWgIUTcL+VurPbVCiqobI9kkIgyINqB+7AUyK5+dtRMnvb4EK/eVYeiTc5FfEV6RM9JIgpFtNksh5Ti+9OPVOOudFUF/lyykxGhLuHnkj3dfHk0OO2QfEAAJx8RRgNFmOZwTWPRM0wAE0TwYIVg0goK9RY06I319bgX+t6EAL83eFdwHEP8oFu4qxvVfrOPe7tF6yryrqAYbD1YC8BayAYI3NivrHejzyN/4dVNBwPexcWeKZuWcaBM0J5dtS8O0yrbicdzgcKGwKjqFI/19mvzyIox6Zn5Qf+t0y95q7hSK2mzeWpCNQY/PQV0IkVxiCoS2+gxc0ZaqwmNH2JxuHtFEOcD/eYjenfp51Gv7+f7dZytycKC0Hr9vPoRGpxurD5SHtZ2RRrwHFpMUUqqKnLJ6AN5C203B3mZuYza3iwvHMt+XR4N2zoZIWz3UJLSQcExEPUZVRaOp0mg40eY4bvr9ohFk5KlthN67g+VyTUuICervifBxuNqGQ60sVrzw9y4s2VPKN75Gxt5576/ExR+uatV26bnlqw246MNVUBRF43FsCtLSOujxEPliZW7A97FRFDUiVhuZ+whfoqYPwrvWhPNgKZo2Ktd9vg6TXloU6WYYIt4nl1tGrS140dLlVvhGPZru99EKK2ZUEkJBLXYgpEDRpGyIpvEebqLN45iZEQ6XHKQlTRyNiP1OP968P/m3KS1m9XehppiZsTIHq/aVhfQ3kUS8NxaTCQoQtMcxI9jDNHaQGawt/09BjPzhDl1RIJ5790CRP9AjIg8Jx0TUY2Q7t0b+4WjQZ0QPh2C8HcTFPdj26430vcW1AICUOGtwH0CEjeNeXoTjWlmsyPMIqszIY+HiYn/aml+FDR5v30hRUKkK6lUNTo03cLBeCswzuanNebSFcXu9ElqvPdUNTizYWdxq30doYWMvmlI3KK0wLqIp3+v6XHW+i8b0NmKbQvVKd8kyn+OcR3kKsEaHG79tLoioY0Gw64qI1uM4uvJbthYa4TgKchyzLiQ+m5YOG1cUBfVUYySiiPuqeodLk6KPC5gBHjuzPUMV1Z6auRNXTl8b0t9EEnFeMntyHDPRPNgIgWCLS7I1rK2lqmD2jqx49+VRcQuYx3EU2WNE5CDhmIh6jFNVhPELPRN1sB674UQrBIcmHAe7wbXpFnNWCKKlK+USoRMJsVLWbZicPIxZQUW9Az9vDJzaobWpbnRqtnPBGlrMS6KpO8xFuyg5bWd9ojXb88jv23DzVxv+8Xn8op1oObwAvPNEOEPro9HDJRrrK4ib+mA252I/2niwUphToqd/HQmvz9uDe3/cimXZLefJV93oRK+H/sL8EA/OflifH7SArclx7DYWkf/paD2OIz/G2L23u2UeVdHSzn8/bSjA0CfnItcTyk+0PmK/e3P+Xkx7Yykq69X88C4uHPt/8C7eN6JB4Qsfomho9eQ49uYBD26vyAThh3/dhunLD/h9HxdNo0I1bT3EuhFe4Tjy94BpIdFkfxKRg4RjIuox8rRtDa+faPAs0gjBQTTHFeL7Ad+TTbaJCdcGeV9JLWptzrB8dltn7o7DmLEyp1mfwb3PPEaeS/j/G/P34P6ftjavkS2AODarG7Uex8Eam97NeuCBwj0ro+S0nRfQaMX27Pd44YQSAk+0HMxwjyaPD28hl7aRqoLRGtFOoSI+g2DWbdGT9YW/d/PDQKdbPqrTgFV6ipgVVwefJqIpDparot5bC/aG9HefrchBUZDtsPvxOA42J+g/AfEAKhpSVbB773DJYWvPot0lAIAdhTVh+XyiacSzyeWeA6dKT2FRZiOaAiglTDSNAn0vrIjj0+zJccwIdq/odCt46s8d+H5dHp77y38NHTbewpnjOBrXOTb3y3J05HlneJ1nou+eEa0PCcdE1GM0VS3cXYwX/w5v8bZoKAqmFYKbDmsTBbVQcxxbPNYROxUOl3A87Y1luPyTNWH57KOFcB1K3Pb1Rjw1c2ezPoMZCez5s3HgkhXkVURHcSgxlLXe7tLmOA7S2GQGf1P2Y2t4VoaCW/E+j3Ch75+sCEpbCp2OJqLN6x3wbrzC2Q+j0cMlWg6QREL1ONY/M5ZPUVGi854Hi9UTOt2S4yTGotpFRzL3NTiCO2hjNpesaHMcR9oGrW5w4pmZO1sl+izaPI4dnntvd8mwO5u2FQ57DgmCDccH8I8vupdX3oDdh6NbFDc6CGRRl2zMB0pRwuzkUNKYHI0HQuKaYTWbIMveeTbYgxWHS8aMVbkB37M5rxL7S9XDunBG/UbjOicWqRXXhGjBfRT2W6LlIeGYiHqMTgbL6hz4eJn/UJfmEE0VxkUBZ1tBNYY+ORcrAxRUEBf3UHMcMyOWGb7h8LJgz7Kte1hEo9eaHp6qQvC8SY2PjrzX9XZv37S7ZY1xZQ7R49jIMKtucOL1eXvgcsvceA1lE+8Ko+dea8xPemHJIlSYJyJHNG12+AFGGMUtcczV213YVlAdtu8KlpYed2/M24PfNx9q1meIKT2COfANJH4HO89VNzqDLnbUWrCcm+EYJ8FO52LIerCH72wtcrhkTf+KtA365oK9+HxlDn7d1Lz+GQwujdd85NcZ0eOYPUd/z2PjwQoc8+JC3PrVBox9bj5KaoPzNGe2xT/VW/XGL9fj9LeWR7oZATF6pnkVDbj5yw3ewtQBng8bu6E8w1Dz0EcDmuJ4ZgmKcMgVvMdx0++74INV+M2zHoZyCBMq0RjN5K1fIqTSi6JmRuM9I1ofEo6JqCfQiVs4POC4h2UUeBaJE/W2Q+qmOdAmM9RieoDXu8OiE47DsWhHy8KjKErQ3kDhIJoEIH+w5+9ye4XKHunxkWwSR3x2dqesGavBCraBjN035u/Bu4v2YVZWEQ9lDOWZTX55Md5akB30+0OBCXbhTRHgvTeKonAxRJ8PnVDXoOs+X4ct+VVh+w5vcbzomTdYFwmvx7G3vz3wcxbOeW8FqjxhxJGipcfdO4v24Z4ftzTrM0L1OA7kkRusqHHxh6twwiuLg3pva8GiplpynHgLFoX+mcHaUE4hyktcy6LBBgXQKgXcos3j2GmQqsJfv9qcVwUAmLezGLU2F3LLgqsFwIZhNOQxDQdiobloxWgq/H5dHhbsKubesYGez5F4hkZTGoJgEffaZpMJsuIdD8FeT6hRrE63go0HK9Ho8H+Q9Ohv2/DThvyQPheInr2oCJsDZUXh9zsUjWPejsPYV1Lb4u1id+po2LcS4YeEY8KQ6csPYOprS6LCwyzQXNUYhvYx0SQaNumiMWI1q8M1kHjTLI9jj7eOwx0+4ThaQt1/2XQIQ56Yy/MXtjahGi2RyMfF+gETGVzuaCgXqSJuLO0ut0YICXazHah/szDVeoeLX3OwfVdRFByuseHthWESjmXWntbJLeuWFZ7/PBrWg2jjYHk9lu4txb3NFP8C4S1OEr758+eNBThQGvxGX1bC3yaxH2YdqgKgerpGkmjecALBeWsGmiODneeyS+pQUR8eEf/tBdl4b1Ho8yc7/F57oLzF2tIc78CQPY7dsqZ/RdpeYtE7rWF+uDTCceTXGba+qsJxYBGH2eaMOrt3jpqzvQjv+LEFuMdxs1tLHCmBUlWwmg6BgtjYGA9FVIvGAqtNIV6f1ZPjmO2Vg40QCHVc51c04KIPV+GVubv9vufbtXn4v5+zQvpcILpTTlXUO7DxYCWA0Pbht369EWe+s6LF29UaacmIowcSjglDft10CDll9diQWxnppgQ8yQ3HyS1bICMdJghoF2tmvAS6H2Jqi+Z6HIcjXDCcoUeh8Pe2IgDA3mKvUGJ3ubEiu6xVRNpQT24jsWB7i+Mp/Gf989Pfq+oGJ679fF3YBXmxHXaXrDECg93oBzLemYOJooRuNIU7DJGN8bB6HIteb7LCPW6iYUMfbTAvx9ZYL8J1WKAoCu7/aSsu/Tj43PNyK2wmtOsfy7Md2c2LW1ZwsLweS/aUNPuzWirXvXifxLnR31oWSJCMtFgJqCkSXpsXWjE6wHv4PW9ncYulNWFzYbBPStSYQvU4VhToUlVEtq+zMR5swdlmfVeUpargHsdumddU8Hfgor8/Yiqt27/ZhDfmG/dldslHQ+qyfypGc7B+3Abq/d6UbqEIx5Hv36Ei9n2LWYKsIORUFU1FLuht2rI6OwDgr6yiJj+7zu7CZR+vxvZDwc370bC/1yNe/7qcCgCh7yfCscfm8xQJxwRIOCb8wLx6CqsjXwwrkE0VjgXYyYWyyE+S4kTNNxEBmiVu+r5dmxfUdzCvbfZdDsFgbmmiJbcXK6IjLrK/bDyEqz9bi9X7W85byR/BLMDipj/UzXxLiN8Ol1cwBtT+pzdK9GNk4e5iLNtbincX7Wv29wdCHPd2lwynrGB0zzScO7Jr0PfKwYrjGfyObRQUeOcflvOwpCZw/sJwe5OweSCcAo9YvMXplvnGuK0Jx3V2Fy965I/WnNPCFbrOxjHbqDXFj+vz+KEba1ODw9Xih27i/OIt2hnZPuiWFTz86zZc/8X6Zn+WrYWuRZOqQuiP/paZQIKk0xXaM4z08xARu19ZfXB9uSn4XBjkbRFz7Ae7iRfXDDEsO9KpKpio1gq6sc7jOPJ2ImuPwyVzBxV/c71Fd4MChdaLeG2LyO81ooGi6kb0f/TvoMW/lsDIFq/XpbEL9HSYHRZK5E009O9QEcenxWSCoij83vmzCxVF0awP+vuqR7+WVHl0iGCcoLLyq7A2pwIvz/F6J78yZ7ffA95oFEGNxOxg15BwOjxxJ4Eo2b8zam1OzMoqjHQz2hwkHBOGsAmMhepEkkBeOeFYgF3c0zLyk6S4WDNjNFDCgCO5H+wUWAzNA1rWm9vllrFwV3HU5PaymH29BNflqILx4SaEwZYgmNNuUTQJdTPfEjYRT1Uh5PzWGzF6Q4956obbs1zjcex0w+WWMaxrKvp3TIKsBGcUBuNxDEXhRpPTrWB9bgUmvLAQC3cV+/3bcIur3hQB4TMUnbpUFex2HI0bnuZwy5cbcMyLCwO+pzWiKLweH+H5rlAFzAd/2cb/7ZYV1NicGPLEXLy/uGUPjMTrZf090mG+LlnBKs/hYjBjcPuhahzzwkLklfvmPRU9E5uDP49jf+tMoH4U6kFIeV1kc06LiNfeUnlj2VwYbAQXK9AHHFnRKDEVS6S94li3ao0cvKGmWwk3TqHWh9fj2Ph56F83KhppLOxonTUCsXBXMWaszGnyfdFIsHuppXtK4XQr+Gp1bngbJGDk7a33jA0k7LcVj2NxzVA9jkXh2Pj5zsoqwsDH5vCfm1rv9AcuVQ1sLjSefzTONQZr8QdL9vs94BXfX1DZEPEUWIBx+ozgo1ZC2w8cLK/Ho79tC+rzeb2bKBPbn5m5E3d9txlZBVWRbkqbgoRjwhA2gTcEURQj3BvnQHNVKAvw4t0lqAwiJ9+RePSF6x5kC6kUmDEaaC/R6Axd6GdGkr4oXkt60s3KKsJNX27g1XIjjT4tx5GwKa/SbwhiUwQjOIj9L9RncaQbTo0hpqsk7pRln3bo7x8L2w/3ab5daEejww2XW4HFLMFqYcWRjK9/S34VPl+hbr6CefYvz9mDbE+BF5cs8/DnZXtLfd7rlhXVwyLM4qo3lU4YUwSIhxZub6qKcOSUj2ZWB5ErtTWETLbxNtoctQTN6bMuWUa1Z4P3/brQi9QE/mwx4qblDzSPBHFuC2Y8/Lb5EA7X2PD3dm+4rc3phs3pbrECreJ9evAXb75Hf4JHoE1mMHaPKASV1raMZ29L4M9ztzmwaw125LE1UG1PcG0Q73mNIGBEOuqNp6poBY9j9l1WsxQVB5ROIX9rU8Xx9GuA0bg2WidC8Ti+6csNeGrmTuRXNODF2buiIqVMsAS7RsZ47LfWPBw0ckzSC5yB7jVrayhe4+G8vhkrc7Bgp3/HhiNF7PsWT3E8tiaXe6I7np21kx9u1Nic+Pf3mzWf0VSqCn/1e/ydW2mjaxTPe4OLjhNt3BNeWYzT3lwW8P2tgZFNH+weNdTD/w+X7Me3a/OwOa8y6HZFm5f2oSo1It57wEC0BiQcEz64ZQW1ngm+3uEOGALx9epcjH12fosZ6UYEzHEc7KTqdOOGGetxzedrm3yvK8RUFav2lWHAY7Oxs7AmqPeHwi+bCvi/dx9uulpqcU3omzgWPuRwy1AUhS/GLblB31Wk3ptQii+FExZO2tCMfnvf/7binYXZQW8OxXEUjJHZLOH4CDec4njS5zhWFF9jTD/+vHlPw2v4i8VmXp+/F7V2FywmiRep8Xe/bv5yPZ6ZtVMNPw1Q1ETyeDiInkNOt8JTnBgZeH0f+RuP/LYt7N4k7lYIG9MUG5RlMC2kraWqYAS618ywl8JY4ijchnsoz1VvD8hK+NIbiZs7Ng+1VHqHI0Wc24LZ1MVbzQCAciENyL+/34wz3l7epEBmd7lx29cbsKMwcOi2W7jvZYIHsL/DpeYWx2sQ+ks4heNgwm+rGhx4be4eVDc4Nc+jpeYqdj+C9TgW32V3yUHlsRbbXSlsglt6jt99uAYvzd4ddG5t9japFT2OE2IsUeGRKeZvbao4ntjXYswm1Bl4VhrtVY7EXvpo6X58vPQAL551NBCs+NUK3cwHI49jvcd4oEN6G0/1F/wzDOfh51Mzd+Lmrza0+OeKtofFJEGWFT4/5JY3QJYVfLYiB0/N3AlAFSb11Dex3/I3Z/vrFkb5/NkhV40tsJgojjlZaZ1I06Ywsu/sQa4BthD3skx0DUZDEdMVRhOsPfpUQQDw1epcrjsQLQsJx4QP5fV2fhL+0dL9GP/8Qlz68WrM3OqbS+adRftQa3fhUJVvGGZLEWjzEOwCzBakXUVNi6/eSrHBffZPG1Vxd3sTm7sjoV1ijI+3R6BUFUYhck0hnq47hXQEwYgApbV23PndpqDDfCIdZsxgC42Yc4vd1WCN15wytQBcoEOT79bm4ZrP1MMK8SAimAVYvP/OEO/bkS7worFlJAbpDT+f1BVO/2JsS6EoCjbnVfm8bjGbEOMRdv3dLyaqlNXZvddn8F6jPuByK7z/6kUENkd9vy4/7N5SbNMfTiPOpRPsWN+NBk+wSBBo3mqNHMdigcpwEIpQYzS2G1oo5YIercexR8iJcB8Ux0YwgkhlgzrnFAq5sufvLEZOWb3fv99XUosZK3NwoLQec3cU4yEhNYgR/nRgf/OwM4DIEUwfEzep5S2US5ihSbsRRFvm7SjGe4v34bt1eZr3+xMhSmptmL2t6WJLDDb3BasL6cXrU95c2mQKF9E2qLWJqSpado5/fd5efLR0PxcNmoKta8GK5s2BPffEGHPE1xlFUbw5jt3eQ2Z/Y0NcHxJizYaelUZjXQnwO38wuzNabGkjCqsaNfu2YNvKxlhrpEZhBONkEWgcMueTUKKBouFgJFTEvm82S3wNSU+wwuGSffaAeRW+mkBTEcz+9lJ+PY41ji5MOFbf3FSazWjzngX8exwHc4Aa6pzJnKeCObRiYyTa7pm/6EtFUfDEHztwxtvLI9GsfzwkHBM+lOi8Vsvq7FiXU+ETdgKop+uANi+b0SLSHAJVHA7W+8if4GNEqKkqwmnipCVYcfqwzjh/VFf+WqBmBZNaRI8oNjvcspDj2Pjezt1xGGe8vRwut4yvVufir6wifLPmYMDvYPc/GnJmi4iCB+saoWozgRbsR37bhuXZZbA53ZpFNxjvBE2O45A9jo9sUyE+H57XSvgsff/Sbwh4LsAwGhj+xASr4HHsL1qAHRhUNTh5/zba1BiNaadb5mNF//niZ4Td45gZS542bDxYGZLXX1F1I5Zn+6baEHFpPI69h0lt1eM40Mae/S7QgV5zYc8jXEWUQtl0GI0tduDU0muhuF57cxxH2uNYFESabgsrOJhX3oA52w9r+pI4l4nz7NXT1+GpmTu5HdXU/O9vPfGfk9V/P3IEkU9fTNFh5F3ZHMTPDuZAgvWRvcW1cLjcfEPsb66698ct+Ne3m4IuBMnGXrCbZofLjRMHdgCgrqf7S+vx6tw9Af9mxqpc/u86zUF+y4qD+z1pl4JNOSTm92f8trkgLJ5c3OM4NvIex07d4ZC9iVQVYl9LjLEYFgEzuibWpUKxl0LZy0SCkhobJr20CK/N8/Z5/bXP23EYXxvsGUJ13mgJgtoTBhiH7FmHYnNHs+jvD73HMVtD2ifFAvAekDKsBl6gTXkchzru7bpDOsBrgzS114x0GiAj9GvMMX0yAAQ3P4QaicUE9mCibh3c4zi6+q1YwFQkmAPn/aV1UVHH6miEhGPChzu+3RT0e1kIszhJP/hLFkY+Pc/wlMzucuOl2bvxx5ZDeDPI/LABcxwHueHlm/sg1gq2IAbrBeDSCTktSY3NheRYKxJiLfy1QItrUwuzEWI+NpvTrfG0MOLeH7dgV1ENKoR80U1dO3tvsJu1cMMMDiMP7VDzHgezCatqcGoWXX9Gi9Mt45rP1mL1/nKN12yohuaRngxrhGOD8CT9tervlTdsL3xGmb97YTGbBOHY+D1xnrDxqkaHNyWLwXgyCs11yjI3svQeReI8FG6PSH1xvIs+XIWrpq8J+u8f/W07rvlsXcBnpPU49npctVXhOKDHsZCqYtneUox7bj4OV7ds2CN7HuE6kAllw2a0Lug3jS2FeL1OPl4j7XEcWqoKFuWw7VA1bv9mI16cvcvw78XrYmGzJZ4DoabsFn/9wp8XXKANYFAex8IcVxfCYfDXq3M112+EeGDdEMR8w+akRocbDpeM3u0T1Z/9zMP7S1SPzWDb7Qxx7DndCpLjrAC0+Yr9oV9L6uxiqoqWHe/s04Jdo1hXEA8m7v1xa0h7BEB9Rrd8tQH7SvynKmMOIglR4HGsT0fjzXEc2ON43r0nICnWErzHMRPmm5hHxL1UU44dkabGM65mbvV69euv/davN+Lx37f7/C3PUxtWdxwtwYxr/TgUU72wRxOMELnncC2W7CnR2FHBeJMGS0t+lh6XRjg28Z/TEtS5rko317EC5CL6caFPmeNv3Pu7LKP10+QRrJua36PNexbQzjunDOmEkwZ1BBCcnRGqbc6E46byTgNemydcjgtHCluX9DapzRH4ftXbXTj59aV44OesgO8jjCHhmPCBhZh0Solt8r1myTcXKCuAZiTKLdhZgo+W7sd/ftiCt4U8pYC66F3z2VrM2V7k87o/gt3whrIx5sXAgjyN8laWDfwdJTW2kFJJPDdrJ0pr7UiKsyAxxsxfD2T0Nzq8HjdGNFUIgnn4xFpMcLoVw/cz8azW7uLf1ZQHrVc41goM2w9V+9yT9xfvw7jnFgT8vObCnhUTzfPKG/CnJxWLI8ST22AW7Dq7S+dxbNynS2rtWJ5dhnt+3KzpfyF7HB+xcCwU5nH5HqDohWP9uGp0+I6dr1bnotdDf7WY95S//m82eYvj+Tv0iPX8vrrByQ3NYIUol1vhfVWfP028L+HOweoNz/KGsO0tDj53+KLdJQBg6BXF0B9ysDFhc7oxc2shtuZXhdrsFkfNUx2ee93ocGsKzAT0OHZ72/Dd2jyU1TmwJb+yRdvjPZyUMW/H4SY9xkMlFKFGvBcJnnWJ5WV1ChErLYE4T3pTVYR3fP24Pg/5BmG2+nYAwc0d+mgAUTwzSq3wwRJvWgOWF7kpb3ajauyAf0HKaAPI8rcHM0+L812geUTP43/swMdLDwR8j3hPgomgYnNyo9MNh1tGcpx6yO5vXWbmUbC2GLtXsqJgW0E1rvlsbcCIOodLRrzVBItJ8onEM4Id1vbMSAAArDlQ4f1uA7sqt6wez/+184i8pdh6EWpdBqfOmYKlSwiWzXlVmL+zGI/9bpxy5YW/d+GNeaojSbzVHNCmemXObtw4Y31I3x8KiqLgI6GPOtwyL9rlVzh2yuicEocBnZJhMUtYvNt3fg6U47ipNAe1YlSg53P0BdyiBda3xP4ZrI2lz1PbGgQjIOrHoVGqn2Cu8V/fbsT1X6zXzJ8t6fkqzp1vLdiLm79suXEiPk+2VgBqTnIAPoXnxfcw9CKl/j6K475Dsld/8PeMxOtdvV8tZGySgIW7irE2J3Bh49bwns2vaMCE5xdgS5D2slv21lGJERxhjHI56wnV7vKug03PI6EenrYW3jz0un1oEzYic3SYvf1weBr2D4eEY0KDOPn0aZ/U5PvZqRU73fvdIxoDxpUu9QNcX6F8eXYZ7v5+i+Y9geZ3f4u1XlQIxUsp1HySbAFqSjC66KNVOO+9FX5/X93oxMFyr0E+fUUOACAp1sIX56a+p97hQoLV7Pf3RgZPvcPFBQC2mUryeDgHCvlodLj5829qPSk38Dgur7Pj7HdX+GwCXp27R81BG0bPMiaUMCH7vcXeQ4xQPdqCEY4bHC5D7zk9bKPvciuaex/qvTjSk2Gtx7Gvl42+AIOPxzEXGL2vszDdoiobdhRWBzwICsZjQhzXf9x5HP+31Sx5cxw3IRxXNXqFY6McYkbtcLllLmTohQOxD4Tb45iLiLLSLM+sQLm5xc2MW/b2RZtTxr+/34zz3l95xN/bUtz9/Wac//6qsHz2y3N2awrMBBJaxDEQa1X7V3OKbhrBPT5kBbd+vRHXfLauRT8/FAFeHFtsnajyzO+VDU5MeXVxi7XL6LAtnB7HjQ43HvxlG67/wv/9FefxYEIiy+rsmoNfTQ5f4VqYEPTKnD2avwWO3OPYX/uMNs3MxvC36SqpseGl2buxOa9SM981hCAcB4N4T4IZR0xUq7O74HDJiLOYEWM2+bWTpBBCdAFvf3fLCt5bnI3l2WXYeLACblnBfoNivw63jBiLCbEWk+aA0Z/YzA5rzx3Z1ed3t3+zCYt2F2tee3fRPny6PAc7AhRjdrplPPzrNp/2cY/jYHPO6qJbjqSGBuBNPeDPLvlk2QHuZZ8Yawlo73ywZD8//AwHBZWNvPhuvNWsSVXhb5zZXW4+9xdUNsLhlrGtQFvzxOia2OF8U4cA5YLDBeuPoRzYtCbMJgkmfZfeztLnqW0NghOOte8x6sfBHGgeKFX3d6KdHew+s6rB0eR7RU/LtxZkY8GukhbbR4n3QHROSoz1FH/VCcdGa5a+z+rvI1t7nj1vKE4b2snndT3itTGHNQkSbvpyA95dpB7Axli0MldJjQ1/bDnUKh7HK/aVoaTWjh/W5QV8n8st4/3F++B0Kzz9p8Us8bazdbyy3oHeD/9t+Hmh1toIxeNYXAOjCX+pKpoSjsXDZiJ0SDgmNDAx4a6p/fiCEAhJ571xz49b+O+MqprqvWE1niuejZOmGJfdhR835Pv9fn+L9Xnvr8Tpb3kTo4ckHHsmo60F1fhjy6Em3u01dpoScfIrGrG/1L+nxi1fbcCUV5f4vC5JQLyw8QwkVDbY3UiINeP+UwcY/t7I4Km3u5CeEKP+vWdhT/J47QQSwewuNw8oa8ojqtwgRcV//7cVALAup8Lnd8CRTeoP/ZKFN+YFzicIeA3ZRbtLsHhPCbbme4381+btQWGQxWOCbWe93W3oPaeHbXZlRYE2x3FoC3aop+lPz9yBOdsPaz2OmZeRMB59PY6NPQbEDSbzWl++rxRnvbMCnyzz73F24mtL8N6ibL+/13/nyB5pPDTZYhJSVfjJ08lTVQg5jgFfo8vIA8gpK1xs0B+KtabHMa/E7laaZfgEMhjFecIpy3weCPb7qhocWLmvLKT27CqqCcqIZczZcRi7imqQV97yhVn1hV2CSVWhQOHiW0vncncKhwXhILQcx973Mu/OSmE8FLVgmg6jjQqbYwoqG/DKnN0tesDI1r9A67TGk66J+1ZQ2YAGhxtDuqZ4/164JjEtQa3d6RPhU1EfXAoQt6zAJGkP0gD/B45G60m7JNUGKPOTL/2jpQfw0dL9uOCDVdhb7C0y3JQAuyK7zEf8DIQ41uodLlQbOCCIsDmjst4Bh0sVbeOsJr/PholVwYb2sv4uy97iqIcqG/HG/D04+fWlPt7pTpcMq9mEWKsZNY3eeaDKTzoXFtrf3nP/9dw4Y4Pm5wNldbxdj/2+DW8v8F0vs4vr8P26PDz6m9bDl4k51Y2+fc0I1ldzy+rxybL9GvsgFHi9BIPv1IuHCTFm2D2HuQcMhPlwI65xCtRnzj2O/Ywnu0vmh9JPnjMEgFosW1ybjIQduzu46MbiGu+cyvpguD2O/9hyCJNeXBiyWOSN5mv6MF1/T3japyjzONbPl0bPKxRbTKwjFIxwrCgKRj0zH3cb1Blqqg1i32kO4ti1CmkoEj02jzZ1oWy4LrDX2CGZ/tqZHTJlQEfEWsyavzOar4zsMn2fitWlzHjglyz854ctQRcIbQ7B2mt7imu5g02sZ49iMZm4iMzGRalnH/3R0v0+n+FvrVcUxdARhh9AhSAcH6n9+faCbO4R3pL4cyYI5BQDRF+tpaMNEo4JDQ1OdUB1TYvXeLn6g3lvVDY4UFCpNaCNBqfPCaMwwI0G+7K9gUNy/W3odxXV8HA6m9ONh5uoSq5poyC6/eeHLU2+n4lkzQ2hZQKqfjF1umXECaemgTb5DU43EmIsOGlQJ8Pf6z/b7nLD6VaQnqjmqTrguWfMGAjkiWZzylwuDuQRpSiKYQ7MpvIdH0kY+g/r8/HOosAVzAHtPVy1r4znxQJUI/HBX4LPfdTUIgX4ehz787xh7XLLSsipKkTjQL/A19icfj9DlhV8sTIXt3+zkY9ZSfIaIk6XwjdFemPQn3AsGiNM9NqQq4bvb/fjKdXgcOFgeQNemxc49znbhDx7/jAA3nB5i9lbHO9ghbHwwzYkVY0OTR/QX4e4QTxrRBd0SY2D0yVzw1wvZogiRHO8gBVFwecrcvzmyK23u1BZr363S5ab5e0XyHtMjExwuRV+ffo8dv548s8duGr62qCFL0VRcMbby3H1Z2uDer9IfmVg4fhI8v7pQ2UDiUxi32HjpKVzuXtzzIXH21acaxVFwcHyemzKM063YeRxrJ/fhz85VxM9w/h02QHc/vXGoNtldADG7vcrc/bggyX7saOw2uc9R0owm39N4awmnsc9HvthbGaG92+E/iIKi3U2l8+hE4uIaaqAk1tRYDGZ0D5Zm17s7HdXGB7gG60/7RPVv31q5k5DsVYUPnd65vDEGHOT69/Vn631ET8DiTXi/dldVIuRz8zDj+v9e2wxAa2iwQG7R7SNC5DugH1zsEIPW0vdisLXmqJqG95frG7e9cKMXfA4Fr2M/c2FTIxtl9R0ajjA6ynmcMn4Zk0e3lzgu1428nXY+Brv+HYTHgjCxmHP4tfNh/DC37ux+3BtE39hDLMH9P24weHCvJ3aQwVVOHZjZlYRTnp9KZY2sQdoaUTbZUiXFLhlhfdXfyklVOFY7RtnDu8CQH3eL8/Z7X2PgV3AbawmHAPENACsX6/aH9zBbKPDfUQ59x/4OQuF1bag13B9+8S5zO5nntTPHWxtMaoxIXKkBxhGBJfjWCdwN1M4FueMYDxF2XuaCq03mvOaEo7v+HYjHvnNd39cUmPTRBDri+MxEmN9heMGp9tQOGZjizml6fs9e67JcRaNOM0+k6EoClZklxnuufXXq/c4ZqmijO5LS3vUeg9CvPdr2d5SvCLMC4B2nmapKqyCx7GdzxP+HTj8Cce3fLURV37qa1ez8dlUFInTLfOI4mCKuhvx5oK9uOLT4OuwBAu7HyF7HJNw3CxIOCY0sMk+IcYclMcx23C+v3g/Jr+sDVE1Eo71QodoODDRWnyfqYlkV8F4Eq/ILsOe4uAN3lDD/OuDCHsIJb8rE9hE4oT0E/mVDfhmzUHj/MN2Ne0EC5vTozdSWE5j5nHMksUzj+OHf/UvuNuc7oCeJKx9NTaXoWHcvomNUjhD/sV+kxBj0RhCAHAwCC9G5j0fTEHCeodbk4fSn0cwM4RkBSEXxxONHrG/KYqCMc/Mx0UfrkKuLjfhee+vxFvCxpON2fSEGDW3n9ONwzU2vmHWt+PbtQfxoFBggImmojHCjG7mPRTvp2+W1wW3QWFzTvf0eADeQw7R4/iu74w9M1j7dhXVYoXgEas3PMT7F2cxw2KW4JIVPl/V2l2a94hjXzSgQxUtD1U14plZO/Hv7zfB5fZNoXHV9LXY6aloL7ZH5Mf1eUHllA5kMLp0fZV5XJUE6b3C5rBgN52sX23Oqwr4vvI6Ox79bZtGkNHnkBXZnFeJkU/POwLPNf+RMXqM8tR+u1YVumpsTvy5tbDZRWvCXRxPPOxwuGXc/OUGXPjBqia9fFLi1QNHvXBca3cZhpM///cuzNmh3fxmF9fiqT93GIriRl2Y3WO2AQyUbzZUgvFCFefuWpsTL83ebRhRA4CnCjhvlDcNgWgDiQLIN2vzsHKf6pVzxYQeALyCUVNP3S0rMJskLuSLGBUkY9dw/qiu6OOJ2BA32EZiPPMuB4Bsz2f2yEgIOuWD2JcCH8R4f8fSMczKKvL3dn4/qxqcsDndiLU0IRwrTbdBREwTw8bJ+lxvlFRJrR2fLNvP52unW0as2TdVxWt+IqHYPNwh2b89JK7tbGaqCbD5Zd+rN5/FyLCfNxb4/XuGfg0pOkIvPWYj6YWZH9fn4zbdQVJCjAV2l4zNnoOrvYdrIcuKTxRYMB7TRwLrzx9cNQanDOms+Z3Rmvrb5gIcKK3jh4axFhPMJgn1dpcmt6mYC5+/5vJNB2aEGNHB5trl2WUBU+owHvo1C8e8uLDJNUhRFBRV+z5fo4OnQLC1Uvw6m8ONjQd9IwvL6x2aA8qmPI4VRcGqfWUY/tQ8fLx0Pzbk+n4mAEx9bQme+nNHUAJzMGKYW1brWyzdWwpZVvDrJt9I1GDtVwAoqfXaUcFEEwbjnAL48zgOfIj997bD+G5tHtbnVmDGyhz++n9+2IJ7ftzCDx1Em1DcX7K9gXj9jQ43Gp0ujOmZpvkuJpDGW9W1RN/v2UFqcpzFpw+I+e4nvbQIV3+2Fh8ZRC/qPYn1h1Vs32ZkN7Z08edqbhd523Dt5+vwwZL9mvlL7KcWkzdVBZtT2Lhg/UDsD/f/tBV/bDnk9wBiwa5irD7g6+3L1rKmPI7Fe3IkKRDD5ewAeNeTqganZm1p6jmKKVNaOtVWWyCiwrEkSUMkSVooSVKDJEmFkiQ9I0lS02olAUDdxF/xyZqQwuqbgk1I8TFmjVjJ0OdMC7SgGS3a+k2GuNCJv8v2FHtqar9tdOKoN5BCDefWG7d68bS4xoZ7ftjMPXCY4R9oshIn56YMuCs+XQO7y82r1d54XG/NQq0owGO/b8cag8Wg3uFCYoyFLzh69EYKa3tagjZMkm04FgbIJWdzeqtNi9fulhVc+/k6DHtqLgCveJTuuR4GO/H1ZyRWNzpDCncP1rgCtP3mo6X7fdrgr8/M3XEYf2w5hC35VVxsbgxi4am3u1DVKIRyGYQkP/HHdu5h5pJlTRv8bSyenrkDz83a6fOZ9XY3vllz0JPrW4ZLVpBVUI1T31rmvUaHG1vzqzQe2nN3HEZSrAVxFhOcLpmHRFX6CRdenl2GHzfkc+NA9Dh+f/E+/LHlED+t3urJ+RfvJwe3mCNt9rYi3P/TVsP3MeGK9fE4j+EaH2PSiBvGf6u2Tx/J4ONxLNzLOKsqSDt14Xeb86p4lIV4yCF6mzrdCt5asBcbDxp7b7L3byuoRoPDxY300lo7xjw732fuETeiblmbquK891agvM6OF2er3gyiIe9yyz4h1YFO3UVjTy2Op/58OMSwx2CNsmBDx/7eVoRv1+ZpcrwF2tjOyipCjc2FZXtLQ0ppoBdcAoljRjlZ2Xj9ZOkB3P395qCLo+ipqHdgR2G1kDs8+DmOFfgLKm+4zmOeCYM5Bl7D4hrCxK6CSl8bxOVWsHp/uWaTzBA3TY/9vh0zVuUi1+CwzmhTr/e+MfKqXHug/Ig2LI1NVOMGtGN90S612K+R1ycAJMdZcf6oruicEsdfE/uSKHrP3FqIWzx5tTMS1fWYrZ1NiWROt+xXODYa52wDeO8pA3DlxJ4A1AODL24YD8CbbmTVvjJkFVQB0ArLB8vrEWc1IS3BGvS6K47xQDaZJlWFxz4JND+I9/Nwjc0jHJvQ4HDjwZ+zePsZTEgIPlWFx9vULfM1avshb9TMZyty8MLfuzF7+2FPigU13DjWYkaN8Hz9zQG1PFWFVzi+7YQ+mvcY3S8jj34G/16dYRPq+ZVejCjUea4u3VtqeGhy5adr8OLsXfxntg7obes9Bh7M8TFmKIpX2DCZJMzMKsSklxZpDkHCleuc9bmeGQmaPh9jNvkIJ3aXG/f+uBW55Q3cRpckCYkxZuwtrsXYzHT+XqP1h93fb9fmGRYOXLynBLll9ZqDOfEWLtlT2qTo/McWtehzrU4gWrKnRDN2l+wpxbEvLuJCLvsavbBkd7kDpocyirj6bfMhXPThaizcpfUuf23uHlz4wSrsL63Dt2sPNuldvmRPKa6crnpPvjh7Ny7+aLWPM0RuWT1yyuoxY1Uuhj81L+DnAcGJYU5ZxnOzduK6z9fh6zUH8dLs3T7v2Xao2rA/G1EiiJbBrFNG9oeiKHhx9i7sPqzORetyKgwdXgKJ5+J+/pKPVuOpmTv5z9kl6rWwfYt4YKpJVcE9jr3XVG93ocHh9olaZoIdc0rT3/vqRicSY8ywmE0+wm6t3cVtPbY+7TW43/o0cvp5gkVs6Au1A8DGg5X4fl0e9pUcWWSFT1s887ChE50wp4u/Z8K2xWTi88+aA+VYtreUrwNsjFU1OPDzxgL854ct+F6wiZuyF/7eVsT3JE0VxxPXnlAcF8rq7Phza6HmOgOxeHcJskNw8AO8z/a9xfs0aZmasknEOUpcy4ngiJhwLElSOoAFUNen8wA8A+A+AE9Hqk1HG39vK8LqA+X4clUugNC8Wv0hehwbFSg4+fWlhu83wmiy1HtnipOSONjZwioamp9eO87n82wGxph+oQgmh48sK8ivaMAb8/f6hIt+r0tE/+umQ/h9SyE/dWafH+y9CLYSe4zZhMvH90C7pFjEWXzFtmwDT6JGhxvxMWZNfigRvZHCFvLUeO0Crw8TMvr7eoc3tFZ8dt+vy8OyvaVocKh5fdnGIrNdIn9PvNXMhWOzH+X4nYXZuGr6Wp+Nnz+M0mH4w+6ScfHY7vzfWbpCJqW1dhzzwkLt59c7cNvXG/GfH7bg/PdXcuFYL1wYhflW1Dtw7nvegmJ6g2n68gP4avVB/LJJ9QJyuhWNIOZvbH+xMhfTV+Qgv6JBs8n7YV0eHvt9O35cn6fpl2zzIssKFu/xPRTYfbgWyXEWxFhMyCqoxlsG+RNPGNCBiw38+hocKKxq5ONbVtSieEapXozGyaGqRo2h+K9vN+HnjQWGm3uvcKz28QQhJ1iP9AT+PsM8dH7GqI/HsfBzvNUMq8mkSdkAAJd+vBoneeZD8XWN54XTjbcWZOOiD/0Xcbv96404570VuP7z9VyYjbOaUWNz4Yf1/vO7Hyxv0OSU31pQjRX7yrigLo6HnzcW4PhXFms2WYFTVXj7Z4Pm0Mvvn2hg4kyw3ojBFl1i3jPiulETwOOUff+PGwow4LHZQYfs6nPxBxKZWN9xuxVvpIxnTmNikf76KuodGu9tRVGwPLvUR+S95rO1OOudFVy8EoVGow3n6v3luOGLdXC4ZLyzKBs3f7UhYBEthqaQkXCtGw2iX8Rx1SEpFilxFkOvVkA9BD3vPd9CiqLHBztocbjUg8g/thzi98Foo8KEW/Y7/fq+q6gGl32yBm/M94q59XZXwJQW13y2Fl+uyg0qP7l4GFLsEcWrG437b53dhaQ4C/fMVt/rfYY1fv4uw5M2gt2b3PIGw7yGDKcnPYK+3wLGByvsGcZYvIdtNqcbE3qpKTXu+2krZFnBldPX8nVLHHNldQ6kxccgIcaiiRTTI9pv4nwUzHgCvJ55/my41fvLsTzbe7hsc8qIjzGjot6BeTuL8eOGfNz6ldajlaeqcLhRXmfX3J+KeodBwS61PYoCbPWMZ/FesLQdNTYnv654qxl7imu5V3CX1Dj0EuwfESbsdBCE4wvHdNe8p8Hg+gOljWDt0OfkDTV3rH5dFOfPBocL132+Dhd/tFrznkaHG6v2l+PjpQeEg2RmF+jzGfsedLD1nB3ImyWv+ClGjoTiKba/tA6fLNsf1CGauAcSHTBS4q2os7tw3vsrcd57K3D19LUoqvLeD9HmToy1YMGuEvy5tZC/ZpiPVXjtmzV5uPjDVfy6FEXBDV+sxznvrQgYVRHsmtYg2Kl55Q24/ov1eOhXb7TYvJ1qJMhXnv0kG7v6Nfydhdk44dXFfg9sjQ45WH7TnLJ6jajFhOLiahse/W07NnjELDE6r8HhwsUfrsLGg5VYZ+BhzCKwGCe+tsSwXXpYXwiqOJ5b4ULb1gD7kW/WHASgPpPbvt6gSTEiRlKItm4w+3YjO6qywYmPlx7A1dPXwuZ049KPV+P2bzb6vM9fRGReeYPPfh7wzh3MVmZzr7gWi9pAklGqCoeb70XFNYl9Fhv3+oOpGpsTqZ61ku0P2Zr07sJsjHhqnuZ7mkrhBBgJx+r/jdKJXfv5Ojz86zZMe2OZz+8AYFtBNd5dmO3z2kxhnAPAX1lFuPyT1dzhpsbmwtwdh3G64Lhj0wjHosexxP8fY1bnlGdm7cS1n6/j/cDhlvHUnzs09WJYtBKgTTVnxH//t4X/u0mPY+EwvdHhxiO/bcP7i/c1OW5en7cHd3+/GdsL/NtdIjfMWI9T3jS+70YoiqKx/cW9kiZPvUEfEe99qKl4iMh6HN8OIB7AhYqizFcU5SOoovF/JUlKiWC7jhrYpOt0K9h4sAL9H51tGA4UCsxoSYixoCkbUxaKRYncPqUvAOOTTr13ZqPDjV1FNVi0u1gj6rCFVZwAThnizdv78+3HIjXeigaHC/tL6/Duwmy+0IhtkmXFr7ekyFsL9uL4VxbjnYXZyK8I7MHNwrnY2slEYZvTjTfm7zXMxydulIMJ/aq3qzmiWFE8I+/vvbrTuX9/vxlbC6qREGP2yevEYEZKrc2JXzcVcG+kwV20Q46JqvqCLaIRUmdz8ZM78TmJxe7K6+3cS6dXO6+o1y4phj8Xf+lImLAZzPMDtCfNTXkT2ZxuxPlJmcDQe1fqC2Yxg4iNmXq7C3d+uwkjn5nHN5gMvUeeXvRhxihbxN2yohEVmvKWPP6VxRox+qCnraV1DkPDYOHuEtzx7SbDz2L5xfyld+mcEosHThuoeS23rAGTXlrUZE5ywFgkPO6lRdzbTkRfqRnwCltsUyem0UhNsOKB09W2GYUO6g+arpjQ0/O32v7i0ngcq6kqmMdxl1Sv9yB7LqJxKhqkgdIoMNhmaV1uBR7/fTsA482EkQF0QFfEq9bm4mNf3Gx+s1bd0Ij9MHCqCu/3f9dERWgjWFMDnfxvyK3A2e8uR3WjM+icYyzUWuzrgbwR2XXs8mwudxYFZ8TqD84CXQfrAw7BI53NCcxLR38Ie9LrSzBBOJj6e9thXPPZOp97rRd9xTmuzu7yERRemr0Li/eU4mB5PQ/1NvL41SN6YIjr5z6DFB+iGOWWFQzvnmr4maxtzDtIDCs+VNXIxWbeV5wufLBkP/7zwxYs2FXCP9+nrS43nG6ZG/z6fswOncVUGY/8tg1nvbPC0CYpr7NjeXYZnvxzh9/nLI69x//Ywf/N7pU/W6nO7kJirEWzeRb7a63deG1j666YjsDIy01RFJz//kp8syaPF9LRYzQ+mO1oNZuQHKdu1Bsdbu49BgCFurD1ersb3dPj+bWkxlsRH2MOeDgkinvBCsfiXMoOirJL6gxzbt/rOTjrlhbPX4u3mjXeZP7SQjU6ZVw1fS3O9wjjtTYnxjw73yelRFNeVrxwkFCsVCxmDACdUuL82jG1NhckSZsKJDVeG50l2l1sKtlVZHwg5JYVbDpYBUAV1d5f7I0okpq06rU4dAfcokjJ/p2j8/gUD5Ee/U1dz1g/0NsxRrZJgqcP/u4Ri+0umfc5cf0O9lASAJ6dtRMv/L3bMDJCj9cr0qKxo1M8zhVb86v4Ie3aHK9YkyA8c3G+Z5GDrOCfaGvo78eGg5UY9qQaqcfGfq3NpREg9Rz/ymIsz27a7qo3GIu7i7w2HrvHv28pxK6iGkE41j4j5jDjLzWDURQoE7JkRdGIhcxppFQn4on2z66iGmw4WIk35u/xiQQCvDbinO2HMdxz70SM7KbFu0vQ++G/UVjVGFyOY1nhfVW8Z4xLxnbHxN4ZfEz+sD4Pc3cU8+LqDpesGSdaZ44jS1XBbKayOoePHShidOgEqMUbjai1uVBSa+NzDuuHLrdaAHL3s6drngMTjst0DhOqx7FZkwaQ3Wrucaybm2sanfyQ9ZpjMhFjNuGaYzMBeOcDcd8bTKSaW1Y09izLNxyMba7n2Vk78fr8vXh/8T6c9/5Kdf39YCX+/f1muNwyZFnBjsJqPP/XTqw5UMEdNWoanXj4122awz7xmYrrPJtzZMU3P7PY5hmrcvHBEuPD5Ka86EV7r76JAzjxMH3DwQp8tzYPr87dgyUGjkciLO2cXqcwIpSi2Izc8gb/Reb91JyxOd2wu9ya34eaioeIrHB8BoC5iqKI1s8PUMXkKZFp0tFBVYMDs7IKef6/4hobLvpQPfXXF5oIlUbhtN3f1FNvd+HMt5cb5jAEgI7JsYixmPik7nDJfHDqTz9tTjfu+WELbpyxQWM8MBHYX0jjuF4ZiLOa8MO6fJz8+lK8Pn8v7v9pKzbnVWLC8wu8n+9ya1IE+COYgmoMZuxZTKqYxDY6DQ433lmYjQcNCvGJwojRYqc3DGptTtQ7XHxRNspZLIoGew7X8lPPxFj/qSqYkfLpsgP47/+2Yr4ndGxAp2SNF2lKvBXXHJPps3EXN+l1dpdhqgox5LK01s43+KLHcbtEryDtL40187ILthCGWLzHSHAUEYuZBEK8Lv2mg92beocb1Y1OPPhLFv7apuZi3JxXqfGs0OeOc8raSrfM8BMLNoinqcF4JYj9gfWnGLPkM4bcsoK1BmlOGMlxVh/hbNa/J/N/19ldPvculBzieqEnkIhg5E3KxhsT/sd5PBJYKpR+HZIAeI2skhob5u04DKdb1vTnTimxOGVIR/UzdeGVmhzHVhMsZhOcsoKKBgd6t9d6jrncsuYaRA+Y89/XelvO31mM7Yf8i5dMXDDyYAxmo1xWZ+fPrrrRidJau+dk3pMHVJgLAwuu3vvEPPr0h0gP/5rlcwDC7gMTeBscbuw+XGPo7fnuon3YfqgGOwtrNH1i0e5ijdghwuYE8ToCGX76Yn7Big36OSmYHMd2l1c4droVPDdrJ8/1rBcI9OGUh6rUg56cABtAQDvGn/9rF0Y+PU8jRLANSFWjk3+n+JzdssJDW0U03lDCOmxUeVwsdORWFIzpme7zHgA+KbTENfaBn7Mw7Y2lsDnd3Guo3u7mOVR3FdVA9hSl0q9ldqeM1+bu4fdCv+lg6wBbA/IrGrDAYxexwpIiYl5tf8/ZX/5A9hyNPDkdLhkOl4xkg/QRDH+ehBmJMYavG30/82r3d1hca3PycXrHtxvVfIgur8dxikc41o8NsY8qiiqcJMVakObZ2KcmWJFg1RbH+25tHp4Rwp3F34lC0wUfrPIRpBjiWBE3yhd+4Bu1IR7uMoFCL9rq1yq27jY63dh9uJYXBGbF7n7frPUec7rVZ2iUBgTwCssuWcErc1TROcZswqsXj+Dv6ZwSh+pGX29mQB2fSbEWzQF6mi6tV4PD5TPXMhFC72X+y8YC/LjB63316tw9mLEyBwdK6zQ5jhkHSuvw4uxdhoc0+nmrqMY7pov8eLpmC2Hev2wqwP7SOj6/69d+o/6fqHt+dXYXn4+Lhe8MNkoFAPcWLa6x4acN+fhurfeA7vMVORqHG+aZ6+NxHKd9JoD24FYU/kVPSGbr2l0yvlyVi4GPzeHzrZFDAHsMoi1Y2eBERyEH9sBOyTiuXzv+89I9TQvHoscxs8lF5wnm3ah+n9Z7VIRdmr/xayRysnXbLWttLTZv6r3n7W4ZlfUOfLrsAN/bFlbZDCOeKjzzyruLsn3ScQDATxt8c3kzQXfxnhKffm+0H3G5Zd7fcg1SxFgtamFSdl95NKXnw56euQOnv7Xc94NhbNvX211YJaTpMxL3xENHfQpJzWf5sXn8jd86u4tHMQPevevWgmrEeAqPis8hzmqG1Sxp7IYGh1c4NjrQZOnqnDrRvLrRycfZqUM7Y+/zZ/BaJgyxYF+waSjF9Zv1z6YOkUSbfltBNT5ddoB7vL86dw+25lehtM7O+09BZSMW7ynBWe+s4Cl9uHBsc/p4too2lziXnTCgAwBgQu8MnzVdn26O0VVwZgEEZ4YgopuzCqpxqRA10uBwYbGg7YjjWUxT1tT8ywR68cDEn5ey2BeDrQci9lGR8jq7Zv4S/z355UU4772VmmsKNk0e4SWSwvEgABoXCkVR8gA0eH5H+OGDJftx13ebeYEOJlYB2hCfYNmaX4U35+/Fd2vzUOEZZAkxZp8Jm7G3uBY7i2rwsEElVkA9gUyJs/BN7GO/b8OIp+ZBUXyLOTU63Vx0micUzWFeQ4Hyx8ZazJoTp+XZZXh21k7Na8v2lmnCyVoCNnnW2d2azVUgz1jRoKm1ubAhtwJP/blD9Sy1OTH0yTma95fV2aEo3pAeI49jNnFX1jtwmhACk6gzePV/89jv2/A/jzHFFqLEGAsGdEzi74uzmJEYa/FJwyBu0tflVPAUD+ICLnpelNbahVQVXo/jZMEIN0qJIsLu8boc9Z7d+d0m3DRjPQB1kamsV9MkiCJRcY0Ni3eX+M31xDyOnzxnSFDfDQBb8tXNxyUeb2xmkH2xMgf3/7RVU8DHbJI0xoq+D979/Wbc6LkGh0vmhqaY57NcE+bm/azD1TY89EuWTx4u0SOaGZoWs8lHWKmzuQKmS2GpKhjd0+MxrFsq3r1iNAA1vFrfvw6WBRa8RPQLtV5EE6lpdOKpP3fgqT+9Xn76VBUXje2Gz64bh6kDVRGY5V1lnpavz9uLW7/e6BNOn54QwzdLemFIKxybEWOWUFFvh8Mlo78wTgCguNauuZ96r1CRW77agLPfXWF4reI914fRXfnpGjz31079n/hQVmfnhvqb8/di/PML8MXKXL75E4UYf4KrW1bw+nzfQk76qITv1+VrjMJNeZUY9PgcbMit0Gwu//XNJpz1ju81szmj3u7S3KcbZ2zAq3P38LE7Z/th/nsmCorjaXNeFRfjv1qdi+NfWcSNT30xv8p6B2psTkx6cSFmC+umyJ9bC7l3C/87XfGNP7YcwrnvrYAsKxojXdxMT1+Rw9cif6Fz36w5iHcXZvM50N2E0SwKLT95ilv9939b8fCvWViXU8E9eGptTqH4iZuH4P+8MR+nv7Ucc3TV2bVenoJgYXAAp/c4HtE9zbCt+ggNse+xdWN/aR3fYDQ43Pz635i/Fy/N2Q23rPgIgQ1ONz4WQjTrdDYC26CV1trR6HDj+FcWC95TTs/1unH19LW4/JPV+GmjKrJ1Tonze4jlbwMWqFgkm3eZ4HjiwA4+72EHOvrol/SE4IRjcfPrTzjOq2jAsKfm4ps1B/H3tsP4zw9b8J7nYCbGbOKelKyPnjNSLeQnPq/eD/+NrQVVSIy1cFEzJc6KBJ3H8SO/bcPnK3M04ixDFHlrbS6/+UDFZ6Cfl/XPgc11XVLj+FiLjzHjViFHsP6+MBv0sO4wl6UCOVTViOnLvf3L5VZgMUtIT/QVDkU+X5GDvz1zSs92CRohsXNqHJxuxXCzXWNz+oiSenuvuMaGEU/Pw3uLsn3EM71H3cws7dwFAE/NVEOd9fdv6d5SfLLsAD5eeoCnBCsXxBCHLhKnuNrbJ/wJT0v3liI13sr79GUfr+FjoabRpZn/2HgU1xb9eK+1ufj8KB5kheKlxtbzygYn/u/nLDzi2bvYnG48M2snFycBr+2UEGPRiF5GNrVoU4gHCxrh2ONI4XDJPIfs4WobFEUxTLUHqEKlOP6qGx3oLIhDbkXBbSf05T8bpefr9dBf6PXQX5rrenbWTny0dD+3L5gNNXtbET4XCqNpipbb3TjljaW454fNmmtj76lucOKq6Wvw2O/bsDW/yjDdD+tPdXan5mCdtXunLrLG4ZJx69cb8PzfuzSv6fMnx1vNXBjyt49g87tIukfM35hbqVnvAF9vf0CdA9jYNTp8tpoktEuMwYGyejz4cxYXx9n1GaUcY44ORsLxjFW5uHL6WvywLg/vL97n00ZA64xUEsB71p/Ar5//GLU2p48Nu3BXMdblVPB9rJjKzGxSn4M4t+w9XItGhwvxVt8id4A3L7JvqgoXX4/072UESt/mD/GwgtlQTQmf4tr64C9Zmr7IEO9TTlk9jx5k1Arznp4LP1jF6xSJzlGje6Rh42PTcPqwzj6ie36lr3A8oFMSuqRptRqHW0a9kBMaAI9AM2JdbgXvh9+sOYgbZqznh2lsDQ+27seW/Cq8Nte7fzgg7BHK6uy467tNvC4PQ4xkCTbC+FBVo2FNm7HPLcALf3ulxUkvLeKFYMvqHNh9uBavC2nMWrK4clshksJxOoAqg9crPb/zQZKkWyVJ2iBJ0obS0qZPWP+pMG9BIy+uUE9PZFnBee+vxNsLs/HIb9vwmCdUOj7GjCsn9sQdJ/b1+ZtCz6bdnyiXGGtBcpyVT4ZMpKxpdPmKWMLP2zxJyjsmx/Ik6YGK1RgZcpsE7yEAuP2bjZo8Y4HaHYi1B8rxy8YCuNwyn+xrbE7Ngp5TZnzqu62gGjd8sZ7/XGtTw1ZmrMrFzsIa5JbVQ9+kD5eqGxcW0mOU47hW8C4TSYi18M24nks/Xo1v1uTxTRwrppAYa9YUyIuzqrkPHTpvSrF/rdhXxsUBZtDtOVzLN6WAWuTwtXnqJN1O8ERm1wWoBt/uwzW487tNhmIWE4ue+2snZqzKxV9ZRVi4uwTvL96H3g//jetnrMeklxZpThY/W56DG2as53nbRFxutVhcrMWM6yf1MswLyb/b49lod7nx6XLVsD5+gFYAsDllzNd7+kuSxlgxKiq22OMlUlxj83n+gGo8psSx6sOqh7KiKHhp9i78sD7fJw+XRji2s82xzUckEnMxGpEcZ9UYLGwPxDxnGp1un/QiB4XvNvKWE9+u9yAPlGOqutGJGatyMUM4XWYn9d4q5macPLgTb1NHTyGq0lo7lu0t5d5X+vQhaQlW7snv63GsS1VhMnGhQy+UFVU1+qS6MMLotF3M380Mb313VBQFq/aX4/t1TRvMhVU2fl+YF8+q/WX8eYv9sMJPqGlWQRUPEWepPGIsJozqkebzXjHn4KytqmiyPrfSm0fU6fYJZWaIueaMRIDSOjvyyhtw+zcb8YinSCAzKsUiTbsP13Ix/ok/diC/opEb7Id0BzY/bSzA4t0lKKy2+S1odvf3mzU/x1pMeGdhNg+LB1Rv36yCapTVew8NxFQVeozSMAFqYbjX5+/Fc3+pm5Jg8i3q+SurCN+vy8elH6/mB8e1Nm/++UNVDRjz7Hy8uSAb+z0ecrd/s1EjjonzwSHPhskkGRvx4thwy4qPJzpDnI8URUHnlFif9zzy23a+sWx0ujSi2MythXDJik8xTX3Oe32aE1Hs1m+W2PqyaFcJVuwrw5oDFZi7o9jz/W6feYDhTzhmgnStzYWLPlyFSz9ejQs+UKMMmG3DNr4fXjUW/z1lgObvt3kOPPQbRLU4sa99o+8f4kbSX12C7YdqYHPK3LYDvBteq9nEhRImMNw+RRVdC3Sb1OIaOxJizFzUTo23Ii7GbOhhyA49NYXrdEKjft6vt7tw0mtL8H8/q3lX9YJv+6QYHPviQrwhpJKItZqQnmDFB1eN4a91SIrF/wmplMT51C0r/JkVBnAoYOMRUIUdi9mEDM91+yvAeqiqEXaXjH4dkzC+Vwbihfy9XdPiDK8ZUPuvP29mxs7CGjQ43Hhtnm8NDkDdnDO71t/ZU0Flo8+zuu7zdVyIKatzwO5yY+xzC/h8qxfqtIfhXmFFnD9yyxswvFsqjzwrq7PzseBwq163og190qCOuGdaf/73eg9xMbJNjGKotbsgywp2FdXgq9W5cMsKPl12ANnFtXj89+14Z2E2Lv5wFRTFe7in8USrdxjmZq+3uxBnVfOFi33QyKQWRdCkWK/gKA5TZjeJc8hXqw+iot7hd75/ZtZOTS7dyganpsBmnU3Nnc7Q23NG4eH1dhc+W5GDl2bv5v2QXd99ukLE4rhtcLiQXVLHD1NZk9l7luwtwcp95fhmTR6unr424J6tutGJKz5dw39ma6c+CsvhkrFel1/f4ZY1Is9n141Dp5RYPteI41ycOy0mrfPEx0v344uVuQCArEPVvJgwI0UnHFs9UXuBlmar2cTt3h835PMUT+w+W82+nYftt4yiWRZ4IkEf+nWb31oh4l6sKkB9F38CqXjwI96vOpsLxTU29MiI93yP0ycVhih2W0wmn1zlz/+9C/Uej2Oj+Yg5F7ncMhbsLOaHdmKqCv179fTtYJwzHoAmnRzgvcei53hTZBfXIr+iAaW1dp882ozKege3Tw4EcJ4x2tfW2Fz4r8emFJ9lcpyV75X1ayCzqY7t4402eP6C4TwKiPG/9fkY+uRcjHvOG319wQerIMuK39RlzI5iEVhMOGdzi36NYn27pNbG/60oCh76JQvvLd6HPI9nvliDIL+iAbOyijB9RY7ms8SI3MKqRuworMZJry3xKXwpcrC8HscI9wEAdyjT8/mKHJ+5Ns5qQnKsxW9Ec3ZxLYY8MQdzd/hqCG2dSArHIaMoyieKooxTFGVchw6+3httBSYKss29SGF1I7KLa3Hd5+uCyt2iF7TYJJ8QY0GsxcyFA5E7v1Nzo/rzjkqMNSM5zuIjYpfW2XxCSw4Jp3rsFHzqwI7YlFcJl1vm7+/T3neRMErfEAxsERGNLf2keM0xmTimTwb/+YpP1+C+n7ZiZlYh93qoanDyzVDv9okaI5t5gDQ63D4eIEXVNl7YLre8XnMPGEzkYsam0SayptGJGStzMGOldhLWb0LPHtHFb+grMzBT462ae5DZLpFvkGptaphkoEWXbUienql6hrKw0a/W5PL3iAJDomBoNDhc+GFdPv7KKsK8Hb6pVtgmV7+IvOo51WT3KrvYuwlggoG4aPHvc3pDESVJ4hvnC0Z383kvC20WQ4TaBRFGrM9l5+9Us6TWZpi7kcHEUKdbxh3fbsJ1X6znQocesY1MBJixKpd75907TRUtKuodPqk8LhKK8STHWWASuhDzMGEbFSOhQHw2eqEHALoLRetYH3K5Zfy0IR95FYEMLt/+xsZZrMH3AN5+tvtwLa79fB1//SHPZpiNhfSEGC6ysnmGjTe9x7HDLXPB7Ji+WmPlUFWjX8FJxEg0ONegcJg+FYZRlXJ/LNpdwqNGGAt2lfB7/rlgsOnzCjJET4ueGepz65QSa1jI6NHftvPPFr05Fd3mEvDdwDA7ThQW9O0o91Tq/nNrIVZkl/ENkpG3jOjJpuZfd/t4bmcVVPNNmFG+z5X7tPPFWSO68EiJP7cWYm9xLb5ec5B7+Dwzcyc/wFUUdU428lhi/UtRFCz0k+IJCCwciymA/MHWtjUHymHz3PtdnpyMn6/I0aQLEMUx0WON5Wkc3TMdZXV2fLkqV7Mxdbi9z9QtK4bXC2i9oOodbpTW2X3W8a35VSjx2DHFNXaNp55JkiAbCMf6CAX9oYM4t+k9gJjnj96DS42Qcmq8s9xciDOu5SCy8WClWrwppwKb86pQUmvj4cNsXY2PUXOlGxGjE8virWZ+3cf3b88jY5bu1fYdcc7353EcqJiT2SQhLV6dD9n1Mu/XfAO7pMHh9nocx1uQYFUPl1fuK8Oc7V4P/nHPLYCiKHhe6GN6W1M/H+4sqtFsvplQ1iE5Ftcck4myOnXdemfRPiiKmsak1ubCNcf2QseUOMy553j832kDceGY7hoR3WySMG/HYew5XKsJ+RY3q4FCeh0uNbdnqkfo6SCkDDBKQ8JSLYgpF7qkqiKM2DfL6uw44+3lWLK3VCMCMgZ1Tub/FgVOoxyrp765DI96DgaM0lEwjNZTRnGNDds8kQDssDXQAXOR8DxPem0Jt3kPVTaie3o8xmV6/X/qhMi1p2buxOWfrOEplFLidJ69gq3bu30i6u0ufhAu5t2+4QvVYeChX7LwxB9qVNLzf+/ChR+uwtdrDuKN+Xux4WAlqhudmrWGsb+0jgvYjAaHC39sKeT2qUY4NlgvRPFNk6pCmMeZvfHyHK9A+dmKHIwVRB09X60+yNNPmCTVC1x0vJjUr52m77G9lqIo+GVjgaFwLPY99m9ZUXjtBhFRYBfX5kd+28bX5AaHG5d+tFojatbaXQELjPqrH6O3R428cG1Ot8aOPnlwJ2QkxqDC0x7RmaFjslc4XH2gHBNfWIh1ORXIr2jQCMUHDFI86NezlDhrk3mQLYJwDHgjath9NErXwL6HOYUA6pyYX9HgN189oEa5zNlepElV4a8wuCSpfSO/ogHvLMyG7EmRd88PmzURkmJR6ZlZhVhzoAK92iVCklRbSl9sTYw6Mpn8i7vxMWbv/kHorzxVhVvBzV9t4Pn7jaIvEg3sTgB4+/LR/N+7nz0dj5/tjR7tpvPAtTtlrNpXhr2ePeKYnmk+n6cX9w/X2HDBB6sw6aWFPu9lXPbJGm7b5ZbVG+4DzhnZ1e/6Ulhtw6p9ZaizudAzIwFvXDpSk4JG3w/yyhtgkoAvb5zAX2ufFItUXWqjdxb5FjUHgKXZpZjwvPH1MPudHXSX1tqx/VA1XzOSdc+FHdBf+elaTHl1MQqrGjH2uQXcYcUoRQorkin+fa3NqXEyKK21488thThQVo+/BZtCRFEUFFQ2avotAL+2dXWj0+dwJd5qRkq81W+B4mXZZWhwuDU5ugmVSArHlQBSDV5P9/yO0FFSa8P05QcCVhNenl2GU95chqV7S7EiuwxuIZeqzenGi7N34bz3VuCeHzbDLXsrxephE7tRigRGg93YQEiOsyA5zuIjBpTW+hbqenuh7wTXr2MSZAXYW1yHZXtLkRxrwfz/+qa9NvLCDQab0411ORUY8dQ8Hq6s33TFx5hxXN/2/GdmN2wRPJprGp18M9RJ501VZ3dh+vIDGPrkHHymO11bIYiZhVWNhuEnjHNHqWGjRs8hu6QOT83ciS9XH9S8rg9be+PSUVj98En44obxPp/BxDAWdgoAV0zogYzEGEE4duK0t5Zh2FNzeUJ8Md8aoG76bE61mjagbvrbJ8VyQ9FqljCwUzKS4yyY1LedJvxIVrwbo/t1ng+A1+tNv3Dp2XiwkgvszCORGXCKovDUDt483hbPtftPB1LV4MCew7Xcu/ePO48LKoy4uMbmN7eYyAXvrzL0JmAib4PdDbNJwqr9ZZi9/TCW7S1Fo9PN2ywiVtg1EjqYAFZU3YiDQp627OfPwH2nDuCGr6IoGi9sZvj175iMIV1S8IRBeg/R41hv9CfHWXjf6pwShzqbCwfL63H8K4vxfz9n4ak/vWFLMRaTxsAUT8f1+bT9FTeMtZiRlmDVGCkiTPhPibPyDX1BZQPyKxow7Mm5+HxFjsYAjLOaNBt3vVFaWKU+a9HAePrcoT7fK3qaKoqi2ZSL97tXu0S/f+ePBf89gXszBiruKXqLltbaUVprx8dL92vaInpmM0+5tPgYxPu538OenAtFUfgB2OFqG9yejUa1Ln2MSKWQUsDI4/hQVaNmQ3Tr1xu4FxKbE9IFg1n8rnq7q8lq83uKa9Hn4b80164v+PH2ZaNwx4n9+M+nvrmMFzAEgFlZRXwzAqjCTIdkX4H3sd+3Y39pHR76ZRse/tU4xROgDXFetFt7QKSfc41gBWq+X5fP50AmYNbZXfhlk2++R0DrtZvjiUIZ2jUFpbV2PPnnDrwhhPaJeQldAYRjkfI6O8pqffODs3YBavG3P3QpQpwGqSpEOqXEos7uQlZBFXo99BdmrMzR9JltOk+2WpsT36w5iFeEUEpAzSeoKNrDlEanG2sOlKP/o7Nx/CuLA16f/mDw1DeX4XpPlJEoCvpbO2J0m9Z4q5mvR8lxFkzsrW4mf/EUpsopq8eMlTka20GvSb912SikJ1j9eqAykuMsmDa4Ez6+ZiwAQTg2yKdYb3dxW6hzShyf16+avha3f7NJ895dRbVYIRzE6Mf/H1sK8T8hF6/ew5mF5ifFWnz62Hnvr+Q1HdjvBnVOwZ1T+/lEEO0trsOtX2/EZZ+s1sxtouOFPxusweFCZYMDMRYTF4LFAxz9hh1QBS1Am3KBexzXeT2zft5YgF1FNXC4ZEOP48+vH49f/nUsvwaGKGKJf/e9p7BmU6m/eJt0XnlldXZ+aMSuNVAOUXF+Lay24Y35e/lhXbe0eDx0xmCe1mnZ3lKfQ6Oz3lmBqgYHUuKtGvtbjCRMT7Ci1uZNZbT9kNbz73CNDVs9Nt7Xa1Q7WO+wki2s3SwHNXudeZ5KkjqmvliZi5Jab0FnozoY/jzOk/zkOG7KbvUHcyiQFXW9S0+wYmjXFJwwoANevHC45vtKatXUF39uLcR9P201rLMi2jBMWK61uXDWO765dzVFEIVx+93aPD6f1NqcmogjQH12NodaRNNoHdQXe/WH0YFFrc2Fal29mozEWJTXOfDJsv2aXPXtdFEwdXYXLv14tc88LurBTKTTzzVG69v4Xum4ZGx3vibHmCVD5xyvZ7dvP2K2S3ZxLQY+PgdrDpTj2s/X4vhXFgc8QJ744kLc/s0mLN7tjbr2F96fmZGA6kYnPliyD2/M34s9xbXIr2j0ScUl3q/v1+Wjzu5Cu8QYJMWqKSf165to48uyd67T34PEGDPGeA6Q2B45xmyC1TPGRUG60eFGrc3l63Eca7z+i+MwzmrGTZN74/j+6p69my7NZo3NiSunr8WZnr5+9TGZBp+n/d6KegfK6uwamzkQpbV2Q/tqWNcUg3d7ufO7Tai1u9AlNQ4XjumuiRbW6xI1NpeaQkd4PSMxxmfP76/Nf2dphdh/n+S1bRfsKkFBZQO3y/d4Ivnu+98WAN4oYZOkrh3MQWVfSR1qbS5MemlRwOhRAJoUEdPeWIp1ORU45Y1leFeof7H7cC2fy/1FRa7LqUCDw43+nZIMf6/nUFWjTyHBTilxSPY4DACqFlNY1YjqRieembkTz3rSaehTpRCRFY53Q5fLWJKkHgASoMt9TKh8tzYPz/21S2NEiid91x6rnQwbHG78939bcKYnv+Ti3SX4eOkBbC2oxu9bCvF/P23Fv3VhuQB4mBbgm29MhHk3nTa0k+b1xFgLkmOtqKx3aERuNSTZ2BAVvYqYwHXZJ6uxs6gGbp2QxX4vbkKfPX+Y33YC6qnff05Ww+EmvrAQl368Gg63jCWeU/06uwvXT+rF8xDGW824bUpfnDJEe22iSFvZ4EBxjc2wmEJJrR1vL8iGrPh6kYmb2cM1NvyVZXyqNm1wJ35yHkjA16M/OY2xmBBrMWPqwI7Y89zpmKJLtQCop/Xje2fg7pP748HT1WGZ7Am9O+XNZdhfWg+bU+aG9iSd1yUAPPGHV1BxyTJ6ekKdemTEY+VDJ8FiNuHvu4/HO1eM9jEGVug8/UR+2VSA2duK/J6qM7Ydqkaf9kkag2JvcS3csoKle0sx7Y1l+H3zIX5YwMYOM1QSYswY3k09y2Khky/M3sULaQBAnw6JGNI1pUkR5/3F+/2GzYiIOfv+uPM4/u+TBqn5eh2egm5rDmgN9PuFUNxgYaFnt3+zCftL69EzIwGXjFW9s7qmxeOn249F9/R4XDGhJ0b38HoLsY1CfIwZf//neB4eJHpoiyfq+n2rWOinS1oc6h1uvLdoH/fWETcmiTFmzZwjFgtjAqrd6YYkGXtxMKxmk9+CfWwuibWa0D4pBmkJVuwtrsPKfWVwuGU8M2un5m8TYy04ebD6PDY8Ns3n8/YW16KwqhFd0rwb8YGCtxjjWSGvV6PTrTGyOnjEiFiLCZ10G/oDflLgiPTrmKwxAhn+cp13TY1Daa0d363Nw4uzd2PQ43Pw04Z89HroL00YGQunTIw1G4okjLI6B/fgK6q2CeHg3v59wfsrNUXv2HMvq3MYRscs2FmsESyNDkM6CeG7LBIGUL2Vz31Pm1fZyGNXVrzCak5ZPU9Hw7CYTTh/dDdNccim6ODHM/jWrzZoilYZ8f26fJ725sYZGzS/04dfBsvBcv8Hkwt2FuOLlTmoanTwTV9eeT1SPIe/jK9WH8SW/CooioI5QuieWZJ8NnpGrN5fjsM1NvQV8oPfJuShNeJQVSOW7S3VGO6iUHbPtP7IzEhEnd2FtxeoB9BPzdyJinoHBnZSx58+d+bqA+V47PftaHC4NQdPE3qr0UWsQBqgVqP/cX1+k95mRohe0aKn/vmjuuGB0wdi9cMnad6vT/0TH+P1OM5IjMGQrimYMqAD/soqwsDHZuOyj1fjqZk7selglbe9nvHBrn3akE4BfE+13z39unE4aZBq6zBBykhMbXS6uSPCmMz0gPbh2hztwZ0+J+6KfWV44OcsbCuoRmmt3Sfyio2jhBizT7G4rIJq3OMJ8/V3cGHkqb5wl3owlBSrdWw4aFDwCgD+++NWLN5TihizNxxbHN9G383mYfG5MzuuwlPwq/fDf3MvOwCGHsdd0+LRr6OnHxfVeNpg1r1HOycs3l2iEXWeONv3kJehT2f21oJs7vFtd6l2RyDhWF8c+4Ml+zHocbVWR2b7RHROjcNvgk3TRxdavrOoBjU2F+KtZp1w7L3GTilx2FpQFTAUvym26NLXMZZnl+JQVSNG90yDogBTX1vCo9gYYrtYtIC/iDPRA1i0+QOYKQFxuhWN+NotPR5/3X08vrpxAmItZt0Bux0/bSzQOCHo7SOxAB3b9xRVN2r2kwxRODaKiASMi4vZXTJyyusRbzXzvNXje3ltSX0EkD/0KQcZ7OCYpc1qnxSD4hqbJqcp4H1GgdLQiXxx/Xjuqa8/xDE6h5nUtz1evWQkj2yIsXhT2TDirCZu4xl5LbJDxCV7SuFwyfhzayE/GNFHyogwe3xdjndP4E9g69kuEdUNTn7fKuod2Jzv+9lGdQrSEmJUp62dxfh46QHN7xyCMCkrCvcK7pAUi5FCSrOEGAueOnconjt/GPp75jKrWeJ9c79wmMHssAzdXO+viHlKnBVvXDoSz5znddJgDgj61A3MgYhhNG+zSMWRPdKQEmcxzCsdiDk7DhtGlvrzxmZUNjixLqfC8EBKnH9Yn9Z/XkqchRcoHitEeRghFlG848S+vLA4oO5Pzn9/JffaXe2JxmAiNNsLpMSrqTQqPLWFAnGfLjWXSHm9A5d+vJrvA/p5bMOX5+zmtsz+0jr8trkAF324CnV2F178exc25FZg0e4SmCTgXE89hmDQO/B1SonzeBw78chv2zDppUWY9NIinPn2ck2+d38e722ZSArHswGcJkmSuMO+DEAjgKWRaVJ0Y7R/Oc/jkdo+KZaHFTOKa2z4Y0shdhXVIL+iAWW606BfheqkImJodJwf4UEUzu6c2g9bnzyV/5wUa4Hd5caBsnrNCf+/v9/sd6L56iZv6AWbQJjngCgYLH9gKmZ6NvFTPCLvKUM64ZpjMnlajRHdfR3Zu6XFc8FZPJ3bUVQNm9MNh0tGh+RYLi7EeYzZcwwmJotJwlnDu2BtTgXm7ShG+6RYLuyynNA3fLHep8Lv/acO4J4NcVYT+nRIxN7iWmQJQnJqvBXf33IM3rxspKYqt7jJPW1oJ8O0CoAaRml0msqItZi5IcTCX9mCZTWb8N9TBvAFgr1udPr975P7+wgZ2wRvEFnxek6eNqQz3zj1yEhA+6RYLjSKBfP0HjAi//p2ExocbpwzsiuumNDDr7fpCQM6aNIi2F0ybv9mI/f+mpVVxAuUpApFfgB1o/n+lWPw192TcedUdfOXX9HIvajvPqkfP5V+8hzVWHnxwuGYe88J+O6WiT5tYZswf21lvHLxCEzolcFFawAaEdKIaYM74Y1LR2rSqTSF3pP17ctH4dVLRvKf+3ZIwooHT8KI7mm4Y2pf/MvTl/05MD1x9hCNoMY26pkZ2u9Jjfd6vTFvXX+RDnFWs8YwYgXAALWwXK3NiY+WHYCi+G58RS4b18Pv7yb3U70SYi0mSJKEnhkJ+H5dHjeU9CTGWPDQ6YPw5Y0T+Pxw1UR1rpk2uBM2HKxAfmUDemYk4IoJPXDRmO58w5ccZ+GFmsTPL69zaNIGsPe3T4r1MSCNikilxlvx0dVjNa9JkuQT+cAO9x47a7Dm9T4dklBWZ8eeYu+YZblFAeC584dh+QNTMaJbKkb3TMNDZwzGoM7qRtBonO4rqePCUH5FAx/fYgqTGpsLr87dg6yCKny2IofP76W1dkPvcHEj5Q9RDF65z/sZc3cc5iF2EzzG8ageabjOc7gqbm6YZyXL6znIQPTv1zE4zwYAaO/nUGm/cAiiz3UrcstXGzSbQkYwnr3BwLxykuMsuPmrDXh65k6sOVDBPaAqG5xIT4yBy7NhYJvv899fics+XqMRjMb1StekBWCHjoy7PYe1LE2M2HcGdEoOKu2P0y3zw1nxIMTlVpAYa8aaAxWaEMV9JXXo1zEJMRaT5mAOAH7d5LV5OibHoWtqHOKtZvTt4Pt86+wuwxyoAPDVjRO4vaEvGqlHE6IbY8YdJ/bTeB5fOKabT3+ItZj4ppEJEsyLyu6SeRoQMfciG+vTrxuHNy8bqYqjgvelKL72apfgI14zzCYJSbEWHrnw0BmDuOjXKTkO1xyrpvEa0T3VcFPMxs/TM70HZekJVr8RAOe8twInv74Er83bq0nvwLzgEmMsAaN8/I2L3+88zkc42lVUg5E90jBA56mUW+Yrkh//yiJ+SFJSa+fzslifgbXrmD4ZGNo1BTce15uvS+JzZ4cyD+iKLDGxMcmzOf3r7smYf+8J/PfiZzjcso+Nr49+uf+nrZoIlWMNDvgZUwf5OhAwxwCXrCC3vN7QW/2FC4b7/UzGCI8tkxRr4WuS+AzFSJFu6fEakZPZS3FWE04a1BG1Npcmp32oGBW1AsAP6C4U0nQxWERXkvCs7zixHywmiR+w6BEPuMQDzWA9FgHfg96RgqDXW2e/iYJGSY1dE3EGAN0ztH1j2V5tXSCzSeIRKoy3LhuFOKsJBcK8yWpx6BEPlm49oQ/fK23Oq0JynAWvXDQCD50xyO/9MkKcozomxxoell42rgd+9xxIDOycbOhtm+pJvxMozFxMCdAtPZ7vc/SHeGw/nJ5g5esXG8/skCYhxqI5WB/UORlnDu+C9bmVOPPt5RqnFzavs30Wy7Fq0x2MH9unHQ68cKbf9osOFwVV3mfRJTUOX1w/HrdN6YNOybGobnTyNDKHq20az2zGKUM64aULteNajRy2+qyh4nUDakordoCYHGfBe1d4U0gkxKpr69XHZPI9jcVs4ocwYroslktWHDsM/WO8cEw3pCVYceGY7rj22F78deaYNrl/B/TvmMQdgNbrPONFu3GaJ0KEPY//nNwPPTISeG0mkbcvH+XzWiCS4yw4eXAnnDqkE54VBG4jjKJOROF4iMdzma254zLTebrF647NxLpHTsYjZw7y+QwR8UAmIcbsc9ghzgf6gyFmq6XFW5GeGIMle0ox6aVFAb/vmL7t+Bp8/aRe6JYWjxuO62X43i6pcT6RtIv3lOLeH7di48FKfL4iBx8vO4CLP1qNj5cdQJfUeCTGWkLaAwNez/eEGDNS4qyobHDgu7V5/Pf6/u4vwqQtE0nh+CMAdgC/SpI0TZKkWwE8BeANRVGCi2dpYxgl8R7dIx3PnT8MX980wSc0SDw9P/6VxZoQW5HTh3b2+50WwaBj4sOVE3viVMHLOCMxRmO8pyXE4HLPpkosagWoObAm9W2HufecoHldLLykN45FemQkcKFv6sCOOH1oZ+7h8fjZg7HwvimYft04zP7P8Zq/a58UY1g8ZvuhGl5YKSXOwr+bLfSNBmlBXLKC/0zrD7esYE9xLUpq7XjgtEE4f1RXTPZsyvWTT0ZiDO46qT/fIPRql4guqXFYua8ciuINbf/8+vE4tm87XDC6O6/8C3jTcnRPj8fH14zze9L22x2T+MI7NjPd0OOQ3b9uafFY/sBULDBIAwKoeY79FW3JzEjAM+dpvbz1XiFsQz3cQMhnhof4rHsYPPezRnTh/06MMePZ84bixQtH8FPop88dipwXvcbV3Sf3Q3fPBpstEGLhOlZ04upjevICA2yjEh9jRs92CRjaNRVWs4n3qy35VRjZIw3/PdXr5Xva0E747LpxuHRcDwzsnKwpVqBHL6TquXRcD/zv9mM1Bmu7xBicO7Irvr3ZV5BWr00Na2Kbnom9m148U+OteOLsIUiMMePmyb0Ni50xEmIsuGFSLwDAsK5GGYXUytTDuqXyPjKpbzvcf+oAvHflaM37UuOtuOn43gC8ooK/XNlmk2SYIxlQPWZGPj0vYD5Kxu26op7MeHni7CHcQ5L1IbY51ofJMxJizOiYEqfx1H/0rMFY/sBUjO+VjvyKRmzOq0KP9AS8eOEIvHbJCPRpn4jHPcL6lQZ54isbHJpq32zuTom3IsGq3k/mPaAPt3/63KGY9e/JOH2Y77zdLtEbDvjImYO4J8ll47VCOksHtHJfuU/fvWdaf1x9TCZ6ZCQgPTEGv91xHEb1SMPgLin48sYJPLojs10CP1S44tM1/EBOzFO6v9TXk+//fsrSeF+vy63A1oLqJj0zANXD4FbBU9VfJAbbHL1zxWi+gU6KNfM8kT0zEnho/pI9pfh5YwEX4V7zHKZoi+2YA7ZPPMPw53HMWHjfFNzmKUA2zo+HyEJPmoozh3fGRWO648ULh/vkxw1GdBXzyrOcsRN6ZeCuqf18Qrqvmug9cCyqsuG2KX3xwOkDsfGxaTxaRwxN/viasT4HmEyUZoi5BDMSY3DuKO/7O6fG4VQ/tscVE3rwzyoT8nt2F9aIcb3SkWQQBl5W58Dk/u0DzhMPnzEIn1w7FjNunIBf/jXJ0Ktpe2ENth2q5usYm0NiLCYeLr7hsWn48bZjcM7Irpjcr73P3Af4hk0DWoHojUtH4cIx3TWbUkmSuLcai0Do1c7YLmIiKBP6e2Qk4ILR6rrAvKWT4yz45qaJOMEzh/XpkMTT9BiRHGfh3lNXTOiJRfediJcuHI4Prh6DkwZ1wg+3HotYi++Y6Joap8m/yOjfKTlgUSJ2yFPvcOOjq8fgixvG87ksMdaM9ET/hyZ6b2TGwM7JGNtTO77W5lRgRLdUn3njBQNxUUz5U1Hv4M9MtInZwXe81Yw/7jwOj5/tPaATbWKjuePJc4bgv6eqBwYs9/LQrqno38l7cKUXvrvqhGIxJPvisd1RXu/gc+70a8dpQseZXXTz5N6e1EYDDVNeMXvo5NeN/Xf0Y9wI0SGARQZ2FA41F953Iv/31RMzNQIJezaje6RrnAA+ucZ7UDr92nGaCC2GvzzfAPD59ePwyTVjcceJfXFsn3Zc0D17eBfN+3q1S+Cp8cT7fWzfdtj3wpn82vq0T0T7pFh+j0Xh+I1LR3Fh0ijCD1CFFD2dUuI06/FoYf7M1KX6EO1Fh1v2OeTq0957OCKKHw+fMQiL7puCqydq7ZJPrx2H80d3Q0qc1a+XsYh4CNczIwH9OojfZ0Xn1DjcPqUv73d62KEHe2bH92+PpfdP5VGek/q2w6qHvIdb7H6K4/24ftq+2Lt9Ih4+YxB3HjIKZb9wdDf88q9J+OjqsfxeZ7ZL4O1ga/JZnn7BbLOXLhrB51O9cJwYa8aQLil47vxhWHTfFPx2x3G4xuPAs7OohttG4jzAroOlzNE7cr152SiYTFLA/TAjv6IRY3qmoUtqHF69eCSmDuqIh88Y7MkB7eD1iO77aStmrMpFv45J2PH0afz6Yy0mvmdnNDrcaJ+sXueEXhlY/sBUrHvkZM11v3HpSHRIjuWOZElxFo0OIV5vpuc6qhudhntxlq5gqMF+w2LSvv/1S0YaOo6wNYaNYeYk8tvmQ4ixmHDFhB6It5rRW4h+eO/K0djx9Gnozvqj2WzYvhcuGI7zRnXDXVP74cIxXjvmwdMH8b7SIyMe6x+dhlcvHoFf75iEmXdNRte0eHxy7biADl2AcdSJeKDG9nhs/XnvyjFYfP+J/LWOKXF+vbM/vmasj/NDQowFg7skG85DRrCDFVnx9Qr3x/BuqZh512S8ddkoPHXuUKx86CQ8ec5Qw0iAeKtZ03eG6A7kV+jqFTHb9sOrxuKn248Nqj0AcN8p6j4+0ePgaBRxwUiIMfusuUQEhWNFUSoBnAzADGAmgKcBvAngyUi1KdqpbnR6Uij04SEAw7un4upjMjG4S4qP90Eg2CZy2f9NxUeCQWZEj4x4pCdY0ZEVK0mKxfniBtDzOqtymhhjxmlDO/P23Dm1r8YYuvbYTE0o9xnDOmsmaovZhHevGI07p2rFHz2JsRZ8dM1YLo4kxFjQt0MSOibH+XgBpcRbMb5XBvp2SOTG8u1T1M9nBle7pFieIoAZHicYGH2nDe2EAYJxP75XOoZ0TcFbl4/WJGtvnxTLhTImzrK1bkCnZHROUe+P1SzhknHdkfPimX5DTUwmCV/cMB6/3jGJt+uRMwfhFo8gxxBPa7+5aSI2Pn6Kz2ddNbEnJvTOwMTe7dAjI8HwhBdQN/YbH5+G7285xud3FrOJe430apeA+08d4BOKevmEHnj14hE4U2eYA8Dl43vitKGdcM80r6eVkXfLm5eOwl0e799+nZL5qTA7Qe/XMQmSJKF/xyS0T4pBQoyFPwN/Yu7onml47vzhfIPC+p5+c9dRuC/6sGqL2YSTB3fiC6AkSfjlX8dipIFIbiScN4UkSXjnitE4rl97fHT1WJ/coOx7mZfyLccHDvtmbb5xcm/seOZ0PHb2kIAeu4B6/XqvZCNYPr8R3dNw10n9NfcNUPv6JWO7Y/ezp6OPZ3NR4idvr8Uk8edilA4k2KjxpFgLZnjGyysXjcDJnnGdEm/lG9+pnteMcvGJGHm0JcRY0CMjQbNxYQcfkiRBkiTcNLk3MtslajbRjCV7SvGVkPaGHXLEWkxcRDhzeBekxls1RUwA4LpJvfh3vXbJSI0HGBOpbjiuF249oS+ePncoHj5jEJLjrJr5lG2oqhudGNkjDWcOVwW8LqlxmjGpZ8qADvx+pMZbceCFMzUCqygqHNevnaFYJKYBYcasW1Z8vFVFmJF48/G9uRcJ4BXgHj97CGbcMJ5v/vYU16JLahzOHdmVH5QlCekXkmItOG1oZyTHWfDD+nzc/9NWVDc68fblozCsWyruO2UA/rxLm57CSAAEgNUPn4TXLvaOkab6U/f0eMRazPjlX5Pw6bXjDPNhf7z0AEZ2T8UHV43F65eOxBUTemKLkJ/1igk9DAW66deO03hMf3bdeCy5/0Qsvv9EvvZ0TIk13BhdMs7reedwy8hIjMEdJ/ZDWkIM/nNyfx/h8pTBnTQiGuCb2ko8nPrkmrHISPQWpOySGofLdQcaqx46CXueOx0vXjiCeytXNThx43HqOnfDpF546cLhWP/oNJw4sKPmWr++aQL6dFAPZM8a0YWnn7hwTDd8fdME7nluMUm4bUpfDOqcggGdkjGkawrGZKZBz92eNF6sT193bC98cf14zBEOpdsnxSIlzop3rxiNb26eiLNHeA90nzxnCN68bKRhihSjuVdfFIjNkWwjzcaKeJgKgHtLG0UGMTtm0+OnYFi3VO4kECjND6BNPcS8Yi+f0NPnWvRpSo7r117znpQ4CzY/fgqGCnke592rdRrQc/qwLpg6sCMPcR/eLZV7EBoRyBO/b0d13WR9SW1jO35ocrbnXjJBaIKfA1iTBEz0eDaxDfyJAztwO7DG5oLFbPKbn1KSJNzvEYlPGtQRv90xCTcc15vbqWIxL398fv04H6FXFP/ZGAFUsX/akE4akY15/A7vnop+HZORkRiDKQPVNfBfJ/blB1HH9W2Pty4b5bcdPTISNOHhL1wwHAvvm4KfPZv39kmxmvvA7MvOKXG4YHQ3pMRZkJEYgwGdknDWiC4wmSSN92yvdom4+6R+eOmi4ZpUHCcP7oQvb5yASX3b4YQBHTBMiNCa5kklddPk3pjQOwN3ew79xb44qW97nDq0Mx44fRDPsQqoB+Df3TwRb142EueN6opPrh3H22xUEJYdlPfvlIQNj03Dp9eOw3H92mFwF+9cNLx7Kr69+Rhse+pUHNevPY7t0w5dU+Nw25Q+6NcxCVMHdsB/Tx2Ar2+aoPGYs5gkfH+r194W9wNdDOz0Fy4YzqNoAK0YPbpnGp/z37h0FAB1bbptSl/06ZCEUboCYRmJrOilsZfpY2cN9hFzGImxZk3RVHF90TuEvHjhcMz692Qs/b8TccHobvj1X6rA9um145CaYOWOA93TEyBJEu6a2g83HtcbnTxjRPTs1dvFZwzrjNum9MVl43vgrctG4ZNrxvkI92eN6IKxmelIjrPi7StG4c+7jkOsxczHYJ8OSch58Uy8f9UY5Lx4Jj+YE/sS+zd7PqnxVkiShKuPyUSfDkmIjzFjdM90jfD9xfXjsfrhk3mqHyao64uGMliO9+nXjdOM40/87NfHeL5vsmCDje+VAYdb9ql7ccHobkiMteDRswbjrBFd+Dx2xYQeuO+UAejXMQmXju/Bx9iQrinokZHAbXsmHLM5jqWgsjtlzaGcOK5Z2h3A//rz6JmD0dPAXr7qGK2o7W/vwvoDO2geIqw7x/VthxcvHIFdz56uWWvjrGYkxlpw7ykDcP2kXhjXK11TaG/qwA6YNrgTLhqrah73nzaQjycAuH1KH34fXr5wBDokx+KScT0wpmc6egn906jNe587g4vQRrnpxbSTNx/fBzdN7s3TD3VOjfPZu/tzpJgyoINPruXEWDMsZhOeOncoPrp6jOHfAaqO8Pblo3he9OP6tffZ4zHYQVesxYTbpvRBnNWMIV1TcL7OweApnc07rFsKbjiuNx9Xj545GDfrtA19PnU2N6cnxmB8rwz877ZjNYcsfTsYO2xN7JOB9kkxuPqYTI2do9fP/nNyf2x87JSAh5FtlYj6YCuKshOAcbwc4UNNowu92ifi4TMGw+mWMXVQR41AOjYzHZ9fPw7FNXZNAZ6/7z4eO4tqNIXHvrppAjYdrPSZpD+5ZqzPZPTdzcfAYpaQEmfF3Sf3x83H90ZynBW5L50FRVH4hPjaJSOxt7iW//z+VWPQ6HDj2L7t4HLL6PfobADqxgAAnjpnCBJiLbjUE1b+v9uO5V6r54zsilOGdNLkHERNIRCfAViDy/U4sXcG1npCfntmJKBzahwW3nci9pfW4ZavNuDy8T1w2fgemPbGUiiKghHdU9E9PQHrH53GN/9dUuPx+NlDNB5yb12mehVNv3YcdhbV4KbJ3glOFA2ePW8oxmamw60oPkUDrj02k7ftjGFdDA1UPVM9Rj6gCoe3nqAKQfedOhD1dhdMkqQx2PzlH5zYpx3+d1twJ3SxFjOO7dsOC/47BRd8sBJnj+jCPRlY2gaTScIdJ/bDjsIazN6uhhtdMrY7kuOsuMRPyoBh3VLx8TXjAADz7z0Bp7y5DIO7JGNLQRUvFjOwczJiLCYM66b2cTFtyhUTemL6ihwuyn5900S+yLLwtpR4K04Y0MEnRE/cYAFewVq/AWWG3ZieaYbit56xmRn4467J6PXQX+r9ibWgW3q8T+j7vdMG4M0Fe40+At/dPNEnp+bpwzrjxIEdsK+kjnvHMwZ3ScGe507XnDTHWkwY0jUFFpPEc5sdKeeN6tbke1gqGXHTffKgjkiItSAp1oxbT+gDSVIFYdGD/d5pA3DSoI644tM1mNS3HebtLIbJJGFi7wxsya/C59eP59erH4OfXTeuyXad6BkvY3qma4yO0T3Tsfe5M7hBcNdJ/dAlNQ7H92+P7Ydq8J4nD++EXhnomhYX8MR5WLdUXDy2O37eWMALAelhosGuolpM7t8eD/+6TZO79/pJvTCyRyq+X5ePGLMJF4zuhh2F1ThnRBesOVCu8ZjXc/FYbZgtO1hh88moHmlcvLvvlIEor3Pgh/X5OL6fdzOV2S6B52FsKkcaux5A3RBKkoTNT5yKkU/PA6D2l+XZZRjdMw0XjO6uSR9hxPPnD8Nln6wBoBZj654ej4LKRpw5vDPSE2LwrSeE7IbjeuPVuXvQt0MSEmIsOG9UV/yxpRCT+7fHX9uK0K9jEqYM6IAtT5yCIU/MBeA1xJlYnCoUYWIiydjMdCzZU4p+HZMwpmca93b6tyA0McyCYT+wUzJS4i3olhaPLqnx6NXeu46KBwUfXzMWt329Ubh3Xk93dq9PGdIJT/65w+f7hugMfTFX8YsXqmmMrp/UC2V1dtw+pS+Gdk2BJEnIbJeAdxbtw8ythejTIZHP02ye65gcx+eYs4Z3wV+enO+ip//DZ2hFfJNJwssXjeDPir3G+OvuyYizmjWfIUlqf+zVLgG55Q38et64dBR+WJ+HXu0SfYq6iGONHUjX2ly45fje6N0+EacO6aT53luO74NJfdthRPc0mE0SZv17MhRFPVR+5/LRcMky91rskZ6AE19bYph2JCHGgh9uPQaXf7IGGYkxiLeauXhy0qCOuOX4PkhPsPoI5UZ8e/NE5FU04PLxPQIezqlRL95NPuunbANz0qCOWLS7hIuuk/q2xz3T+uOqiZm48bheuOjD1QDU6IedRTV4yODg5aOrxyK3rJ7bBUy0tzaxGSoX0prpQ7dFxFD6kT3S8OhZg2E2qYVwU+Ot+Oz6cUiOs2oOEBJizLju2ExNvYhpgztiwa4Snp8ZACb1a4/F95+IbmnxcLhljOyeyguhiQRKY3HvKQMwpEsKRvdMxzueQsynDe3M0/JcNTETuw/XcueB964cjSV7SvGAkLbnixvGo1taPPp3TMKce47HoM4pcMsKju3bDjme6IqmCnECakq3KydmamzBcZnpeOa8odxjLRAnDeqEZXu1XldiKP+Qril45ryheOKPHfzALtZixmlDO6FXu0SU1zuw7VC1RjRhB/BDu6bgukm98Mb8vTCbJJw/uhtG9UjDK3N3o3/HZHy0dD9evWQkajxe6Nce2ws/bShAz4wEXMk8VzuodRr0B2c3T+6Dw9U2nDiwI64+JpMfcPx512SeSkCseWE2STy6y+7SFpCdMqCDRgi8a2o/jOieiozEGOwqqsXVx2TiwdMHoarBgeySOtx/2kC8v2gfRvdM04gqtxzfG8v2lvIoykmeA2DmqS9yzTGZmhRQzLOYXcfYzHR8e7OvcwXgtZG/u2UinwvuPqk/TJKE+Bgzju/fAWMz01FR78Cd327CI2eq7Xn+gmH4Zk0eRvdMQ/ukWFQ2OAzH4ZUTe2JDbgW+XH0QVrOEp84div2ldeoa3CMNC/87BW5ZQe/2iXjynCGaCJELRnfHtoIafL4yBx9fMxZjM1X7TTycePXiEdhVVIt6uws3Te7NcyPr6ZQcp0mRIgo47N+Z7RJw4ejuuGB0N/4s3jQ4oGCRFqwmB6vnwSJmRdFRfwDK1pM4q5mLVZ9dN47vPWfeNVnjyNExOY4LxvefNlAtaO5ZRwHV1nn4DFUwH90jDf+Z1h9P/LGDryGvXDwS3609iMn9jb3Ku6bF47c7JqFPhyS+v3AKkSHJcRafyB89AzolY83DJ8MlK5Cg9r/Th3bW1BoAvOK1iCginzGsM9+fsVR8w7ql4v0rvaIhsyuY/XPJ2O74ZWOBz/6HCW7sWUwd2BEvzd7NnxlDTNvFDvEA+ERPMa7R1WliPHDaIJw9oiuWZ5cGLBz4+NlDMGf7Ye7UlBBjwS3H98any3M0kRxG9MhI4IKmaAffd+pAzSEVo1taPEpqbZAkiR/YiDmDm2JAJzWd1vheGfh10yHDlDaSJGF4t1ScMqQT4qxmjaBthFFaxD/uPA5xVjOmDOygKYooag4Zif6dHVgfutdTU+COE/si1mpCnMWEeocb63MreA7pwV1SsDmvCg+ePgg3Tu7t7yNxzTGZiDWb8MAvWZj178n8/qbED8GMlbk4a0QXngI0r6KB1wPo0yERI7ql4vcthT6F+Cb0zsAbl47Esuwy5Fc04KqJPfHAL1m49fg+OHVoZ1z68WpM6tsOme0SseEx1aHu4TMH4/z3VwJQDx2fmbUT3dLi8d0tE5HZLnCkcFuGknccRVw1sSc3CK1mk89kJkne/Fsvz9mNqgYnHjpjEIZ0TdGE+m18bBraJcVqvGa/vHECMhJiDL0jxRNjfS4+caEa3TMdo4XQQHGzYDGb8MFVYzQGxfU6AU/v7RFnNaNXuwTv4vfGYKDvycA1v/q00YhPrxsHu1PG/tI6TSh/3w5JWCSEyu14+jQ43TI38vSG71UTe6Jvh0Q88us23DG1Hxdkpw3phGm64nlxVjOun9QLi/eUYGKfdj6C8btXjsHmvEqMzUzHsG6p6JmRwL2cj5Q4oQJ7uOjXMQlZT56qed49MxIwvFsq7j9tIEwmCR9cNQYbD1aiZ0aCYYVhf/TvlIxvb56I0T3TcO6obnDLCgZ1SeZGybheGejdPlHjCfl/pw/Ezcf34ZugzsIGinkGyoqC964cjcKqRpz+llpN95Kx3X2MoIvHdse8nYd9vNSHdklBnNWEG47zvwAaccWEnsgqqMLH14xFcqwVtXYnz+X15Y0TcEL/9rj9xD54f9E+HNtXG2o3SRd6x4izmjGsWyp++dexPt5XTIg6d2RX/Lm1EAv+OwUdU9TiBXU2F055c1lI7Q+VoV1TsKOwRhNWOd0j7OoNWeYRkJZg5SfSWU+eiqxD1Zi3sxiDOifjtil90bdjEoZ2TcHx/dtjeXYZbprcG1vzqzB7exG2PHFqyJVur5zYE4t3l/B5QDxFHtMznReXOH1YF7gVBR8u2Y9J/doF9L5lPHj6IPRIT+A514246yTVEFcUBV+uyuWFavp1TMITZw/hOVpjLCYM7pLCN6IPnTGIC8fH9WuHM4YFFhgSPPNAokElapNJwhPnDMEdJ/ZDz3YJqrfUsgM4e0QXbM2vxvuL9+Mig3yPekb1SMP9pw7AlZ7UBqnxVtx/6gB0SI7FaUM7IasgE7ee0EeTm/69K0djSJcUnKQLfx6bmY60BCuqGpzoydMQNeLsEV1x5vAuGN0zHZ1T4jCpbztcN6kXf+7PXzAc904bgK5p8cjMSOC5PEXh8l1d2gCr2YQzhnXB5rwqnmdt+rVqPw1GEOyQHIvc8gY8dMYgXDquB1LiLLx/9xbCgkXh+DRdKgYj70jRa3PDY9Pw7Zo8vLlgr898dOsJffDuon089zjg67kBqPPp65eMxGNnDdZUCu/VPgGHa2zokRGP8Z5xcOm4HjhnZBekxKmi6My7JqNnuwTDdvZq79+QZl6xrBjuw2cM4lEQ391yDA5VNfKNylkjunCv2fgYM3JfOgu/bS5Amm5eY6HtE3tnwGI2GaZmibGYNDaHuBnqrMuPmdkuAXdO7ev3MGxo1xRM6JWBh88cBJtTxhWfrsHFY7vzYqDBcly/9vANovflufO1OSWHdUvFJWO785DWty8fhaoGb1hvnNXM56MOybH45V+T0C0tHp1T47D0/6YafkfXtHiNGM9suUCplQD1QEKfZswItRCyBbV2F+48sS8/uPr5X8fCajZxu0S07dolxuKJc4bi4TMH82Jq068bj/W5Feij62NsvYixmPDHXZPx3x+34NfNh3DdsZk4WNGAzIwETToWPR2T43DNsb3Q6HCjf8ck3DhZzUHMxIdBnZPx8+3H4pz3VnCvw0vH9cD+kjqsOVCOT68dp/GuYnneWYootvbqvTdF2AGIJEk+dpHFbNLk6DTi2D7t+Lx3zsiuWLGvjAvd+kPN04Z2xhcrczVeqOyA/lBVoypUCM/iukm9sHB3Ccb0TOf5Ltnhbq/2ifjgqrFQFAX/OrGvj40589+TufckY6RB+qvh3VPxo+CowEQjf56JIrEWM2LMJsOIAEBbJHil4N2ZlhCDDz01AN4wECeP798BuS+dZfiZenwLb6vX3FTEloj4Xr3tkhBjQUKMBX8IES5XTczkqYN+u2NSQK+3kT3ScM0xmbzezY3H9YbDJWNsr3SNQ4GRHfv42YPxwOkDNc9CPIg5b1Q3XDLO+91MvJ4yoAMm9W2Hyf3bo6LegUn92mNQlxSU1NiRkRSDy8d7PUQzEmPw+iUjMaF3hmE6Oj0lteohjJimBFAFrK/XHORjkPHBVWNwqLIRq/aXGYbdi2t7p1T/Atm5I7sapgBMT4zhe9UrxvfE2SO68vWRpSAMxGhduhz+uQlWjOyepikM/uDpg1BRb/c53NSPvVcvGYEJvTPQPT0et3oOpsW8w+LfMcH4wjHduXAcLP06JnORTYQJ9KxfDuycjBk3jOfX+vJFw/He4n0aL85OQlSFUcQTa68R8TFmjM1Mb9KxYWDnZJ/C1GcO74Kv1xzk0SWMmXdNNiwAq8dfIfRf75jEBfSRPdIMD0H8seqhk3iE68mDO2JsZrrGAU3kz7uOC3quSRPG7oTeGaisd/A5+cQBWp1BvNei5nHfKQNwzsiuWLynRJO+LNZiRqPTjU4pcYixmDSpG6+evhYNDhfOG9kV363N0xxY+OPS8T1w8djumgOxoV1TNRGubK/OhOP5905BXkUDft9SaJgCZ1yvDI14L+o8c+85Afq7OKpHGt6+fBQW7S7BZeN7YH9pHe49ZYBhlBghoCjKUfnf2LFjFcI/Hy7Zp2Q+OEuptzv5a5+vOKAs2VMSwVaFjsPlVmRZVn94MkX9L0LwdhBRTXmdXblpxjolr7xeURT1uT3/105lc16l378Rx4mIzekK+ftdbllxuNya1x79LUv5anVuyJ8VCvV2p7I1v9Ln9bcX7FVe+Gtn2L53X0mtsjK7NOj3ZxfXKvtKajWvud2y8umy/UphVYPm9eKaRuVAaZ2iKIrSYHf5fU4tye+bC5TMB2cpP6w7GJbP/yurUMl8cJby+rw9/LUle0qUzAdnKc/O3OHz/qp6h7L3cE1Qn/3E79uUzAdnKZ8tPxByu2oaHSH/TSDcblnp/8jfSuaDs/g4uvLT1Urmg7OUxbuLlaz8KkVRFGXx7mLlid+3KbIsKxe8v0LJfHCWsnxv8P1Jz41frFM+WrKP//z16lwl88FZyo/r8pp1Pcv2lii3fbVBsTvdhr//ZWO+csmHqxS7061kPjhLyXxwlqIoinL//7Yod3yzUTn3vRWGc4Asy5r319qcylerc336usPlVspqbUfc/pXZpcp/f9yiuNxHto7Jsqz0emiWpq1GVNU7FPcRfoeeLXmVSq0t/GNejyzLyvdrDyrVLTwmooG1B8qDej5/ZRUqaw+UN/m+x35T55xtBVUB37cyu1QzLhVFUfo+/FfAvqRnQ26FctqbS5XKenvQf2PELxvzlX99s4H/XFlvP+KxtTmvUml0GNsJ2cW13A45UuxOt+LU2RPfrMlVJr+8UCmuaVQyH5yl3PntxmZ9h6Ko88ub8/couWV1zf6sUNHPgSJV9Q4feyqS7Dlco2Q+OEv5Y8uhSDclLHy1KkfJfHCWMvXVxT6/e33eHiXzwVlBzQtHyiO/ZimZD87yGTeyLB/xWHrol61K74dmtdi61Bz+/d0mJfPBWUqdZ51ntqY/u6IpKursyp3fbvSxnRnVjQ5l1tZCbmM3x7ZizN9xWBn8+OyQ5+H/+2mL8umy/UpVvYOP90aHS/loyT7DvUtLcSR79+/XHlSmvra4RfvMj+vzlD/DPG88N2uHMntbkVJV7/CxX/7cckj5aMk+ZcLz85XD1Y389Vqbs0m7btW+MuWt+XsNf+d0ufkaGA6dZOGuw8qi3cX855825CulzbCFiaDwq79KilFi0aOAcePGKRs2bIh0M6IWt6ygptGpKbB21POUxxv6Kd9wRYIgiJbA6Zax5kA5juvbPmCY9pHilhXM3FqIU4d24h6SjQ433l+8D9dN6tVkjtxAvDJnNz5Ysh8PnTGI53CPJPtL61Be5+Aeh3nlDVi6twRXH5Np6EUxffkBPPfXLiy6bwrPh91cbE43/rchH5eO6xH2yAzGH1sOISXOyvNoN8WNM9Zj6qCOvKBOtJJbVg+XLCPGbDbMRUi0Pcrr7FiwqxiXjO0R8ny5/VA1kmItAb3ZicDM31mM8b3SNd5mRyMsxVewnsCR5FBVY0g1ZY4mFEXBzKwiDO+W6pNDuNHhxtK9pThtaKeQPK5DobrBifW5FT7RnM3B5nSjzu6KCk/CRocbByvqMahzChwuGZvyKjG+V4ZhwbB/KrKsoM8jfyMxxowdz5we6ea0eRRFQe+H/8aoHmn43aDoKNEm8TshkXBMHD2QcEwQBOGXHYXVuOSj1fj59kk+OXKPBtyygsM1tn/sppwgCILwZfzzC3DigA5NFuMlCOLoZ8HOYvTpkNhiDgJE89hXUov0hBheWJBo85BwTPwDIOE4NBQFcDYCMeQZRjQTRQFWvQOkdAOGXxzp1hAM2Q00lANJzcuTThBEmHA51EqBZt+80QRBqNhdblhMpjbleUlECYqiztFEYBQFaKgAEjLofhHEPxu/A5yK4x1N1BQC9jpAcQOKrIoG7N8uO2CrUf8NRZ3g/f5b8f67vtSzCHiS1bvswMy7gZOfAI6/z7gdigKU7ALKs4H0XkDnEa27iPxxF3Dee+H9jsItQHw6EJusXptkVu+RyfN/yaS+VrwNsNcC858A4tKA015QRZyqPKD2MFCdr36ONR7oOhpI8S2+AJcDqMwFqg6qIhCjsQqwVQPH3a3+fX0Z4HYYf4YRS18GlrwIPJirtsEfO34DEjsAvTzFOQ4sBXpMUL+zOdQeBg5vBxx1wIbPgKmPqq93nwCYmi5G5YPTpt6nxgrA7QRkp3p/ZBkwWwCTBbAmAF1GAuX7ga6jgOIdQM0hdezEpanPz2RW3yuZgY6DgQyDogSNlcD+xYDsEp67529jU4DkzkBdMdBzElBToI49c4w6nuy1gN3zsyUOyDwWiBOKTtqqgU1fqdeT1sP3uytzga5jAGsckNEXiElUr6eh3Nt29l9KV1XMPZL7GSyvDwLiM4CSHerPsSlqX2mJAwkjg72+HDicBcQkqdesuD1zneyZ7xT1Z0cdMO7G8M49RVsBSzzQoekieUFReRCoLlAPdGxV6jOMSVT7EiSg3zTAEqOOm45D1P53OEv9G0us2r9jEtX7b44FFj4NrHwb+PcmoF0YUlMoCpC/Vh07HQep7TbHqv3N0aDOb7JL/c/tAg6uUNeQHhOBw9vUZ5PRR223rRpwCsVI9swGOg0Fek9R55vKHCChnTpu8tcCSZ3UcdZQod4nsxUwWYHE9sE/8/L9QMEGoM8U9Z5KEtDnRHUcBUNDhXqNkkldC9Iyjb+7dK/6ekO5OjclZKhtVmTd+isLrylqf7bVqO0xxwCxSer/Zbd6TxW3Op9YE9R1Nm8VkNwVaN8fqMgBSnep84j495IZcNvVvzu0SZ2L+kwF4tPU+YiPJTaePO2x16r32BKnPucETwE11g7Z7ZlvhSrwvacAKYELNrYYLoc6NhqrgPx16hwtSZ61WBLWZc9/kNT74vZU33bZ1Wtlv2dzumRSr8nZ4J3v49LU+wUItpYw/zjq1d8ltFPnobg0ID0TSGivtpHhtAHPe0KuQz3wbqgADq4Eep+grl9FWd71S/KsA9Z49WenTZ0f+kxRn+PhbUDmJPVzZBko2an2Y7dTvUZHnTqnTH3kiB5Fs3DagJn/Ucfxao8dN/JKoN/J2muzxKp9N6Ov+kyq8rR9VvY8i6Uvq7boLYvVtal9v9a9HpcdeK4j0PckYMRl6mu9TwjeTgOA/YvUZzPgtOa3x9Gg2ueAOk9rbFezOl5L9wJ1h4HkLuocabaq9zu5i2pPxCSo80Cw82RzKN4JLHsVsYWbgGlPAUMv0P5ellXbuL5UtYFlp3qvFFntGw1l/ucA8b/kzqptldBeXUPL9mrtbT2Fm4GTHlfn1JZGUYCiLUBiRyDVuFinz/ufTgegqLbkgwcDr4G2GvW+1BarY72hwv/9MZnV9SU2yWtXSmZ1vUvpqs6zzkbAZVP/DamJeRfqnNtpWOA2fneZuu84523ffsYc2ppj2zkbgec7A2e9Doy/2f/79swGvr8cuG6mOm5bQ0SuyFHtP2uibj7zzG9ul2ef41Cvw16r7rWTu6jrFF+/RXtC92+XDYhLUb8j4Pjw7G9lp1dDMPxPAb69yHsN4XLgcjQAOUuBgWeE5/P1NFSo62tjpWrf1BR69v3CPQN0Pwv9H5I6ZmKTvDad7FLnLZdNtcViU9Q+bqvx2IZWg+cuAwXr1fmv4+CWubam+rLLDuStVrWJ+jKgeLvajrhUoNNwr619YKm6Fsd7DgyY9sTWYFej1yYyosMgdT9ekaPa+XWlYEVGAaj3a+MM4No/tftKtwuozlPvpR7Zqc7faT1Vvab3CV6braUo2aXuQxIymn5vG4I8jo8mvr0UyJ7bet9ntDCU7AK+vUTdhDCOvQs47Xn/nyO71Y2L7FY3WkZiWVDtEcS3cHod564AZoQhz1psiipSJnZQN3Vl2arxWrRVuxnXc+676sL0+7/USez+vf7fm7NcNTgGnws8naa+dvNCoPs4/3/D7uvjZcDuv4CfrgN6HQ9cPyvkS+Ss+QiY86Dx78bfApz1mvY1t1NdwNmmoOKAaljHZ6ibhtwVqiEf6D7pkUwewSbQe8yqcSXLQLs+qtFSlacuhMEQmwrYg+iLiR1U0amhXF04W5oRlwM9j1GFuLhUoLZI7V9FWzxiXwxwyrNAUgegrkQ1RJnQaKsGqvKBeY+qou1F01WR0O1U++b0k32/76THgRPu93398HZ1I3/ma0CyQY46W7Uq+mz9AchbA9SXqMJsYnu1jZLJK1AHwzW/qyJqwQbV2DqwBFjzIXDjnOYb/4qijiFzDPB4afM+CwAWPQ8seyXwe8yxqqHZFNOeUg9m1n6k/tznRODaP9Tnt/Ap9T4ndlTbzg4bEjuo/QOKuglJ6qT2jYZydTNiq1H/zu1Qn70lFijcpArTAJB5nCroJrRX//7QRnW8tgQxyYCj9v/bO+8wSarq/b+3w+S4OQc2wAKSwSWI5CxJSYKIAUUx4E8MIIoBM/o1oYKYABEFFQwkAQkSBJa4wMIuLLvLxtndmd3Jobt+f5y6U7eqq7p7Zru7arrfz/PUU9011dV3um7de+57zz1HnkctsAbROkfqTFU9MOVt8jx1bhDD1TRo00MyOPPSNN0WRY2JVG24u8TdtAgNXvTAOpaQyZ10yv97KoG93yeTuG2vitDUmiNG82CviJ3ptAzU6rU4nXYL1HqfGpC26s5L5dmeuIsIXYWqd8WgqtEZbJp9wyVLc9s+/Z3Am48Cj1wtg8iRcv4dwA2nyOvL7AnNm8+SCW4/Pv28PM8DXSKsFZqhARGH57xDxNHBbinTkt8W/rs0H7gLmHWgvNZ9gHcAvf55YMX9Mpidd4T784N9Iqrryeh4lbSdQf3Ja/cAN5+ZeXwkNqq5mm7rSuDuy4DTr3VPOOcinQLu/Byw9DZpx3cYJbbRjP2BmYtF4Bzskee8YTKwZUWmAGmKtI226DhpkYwXxs0T8Xf7Onl+00Nii9z+MffXfvoFcXRY9i/glX+I7ZePjVUM5h4qgqLJ3y6SSZwGo39VMakrdePFQaJ+PPDkr4CHvw989OHMZ2vJ78VBJ5YQW6mqXurkzifIJOraJdKfbV8HvH4/8Nq98uxo3vNbYPfTpd1tniGfB4BX/gk8cJVMKIbNhIVyH2tbpb8c7DbqpRLbApDJ8u3rpa6df4e0F/+7VupGvEqEpEm7ipA4950intZPsC/j80z2tgOP/UzaUM2+F9j3KinPdbxKfrN0CnjgG845ExYCz/4B+PhjxflNOtYAz/8R+E+W8fJYYTRj8N52eXZ2emfwOb85TsTMk34E7PeB/K/dt13GvkGT+68/ALz4F8fZITUo/V7bq2JvRImvbhMnk+YZuSfverbKmGfZv+yxbEr6r1S//N7xamD6PrJStG6C2FR924Bl/5TfJBumwL2jzD5YJsLzOW/+kWLvrXlSxPd8SNYDiz8mGlX3JttJwJxoj8lznxoQB8zWOdK2aAe9vg4RqvUESvcmua5uaysPehyXBQd9EtjjTI+RZngT1LRIp+idDQt8rZyBnG5oH/qedGyAiEBTdhfj5eHvy6zt9UeJ8XjkV4Dp+8ogZelf/YXjzg3yuRdudRt+erAZNQb7gBf/DNxlC567nSbesYDHOyvteDw2zxSPwGduEK+u9c9JY33C1TLjnqyVrXODDH7XPy/XW3Gf7KfuCbz9IhkQj5triz32Y9nVBvzmGJkVfOlP9rGN2f+H358k+y+86RxL1ASfb87k/fMzwLM3yus3H5HBVmrQ7UGVD73tIho3zwJO/okY2L84yPn7U7+STm3ds9JAd23KLdROXCT1ZuYBMmhJVEunlqi2DUDbEHjrSREkJ+8uv/X0fUVYjMWlAwUcgaK3Hbj3yyIOzVosnW1VvRiQ9eNlsNQ4NVPM2LLC9gDeLCJzshZYcIxct2m6zFZXN0o9WfesdIDxKilP71Zg8cXyfRMWSPm9bF0p9zxRJTO98aTUk/pJjndcekie3Y7VwCM/AF64RTYvyTox3LevBV67W+pC53r5284n2ELFI+7P3HiadJQv/NnpPL10rPI/fsPJIkRO3AU49HNO3UmngP/+EHjwu47oM+VtwKJ3yb3v75QOfahfPKL2eb+8rxvvrIgw27oV9wF3f1Hu+TfsQcQBHwWevFZet70q4veOsO0t2WuPRcsCXvqr3Ovqxvyvk04Dy/4hovH0fUV0157DKibfs/Ih+T3WPCkGzIz9xWCKV8mgqXGK/K+xBPDLQ2SG/eXbne/osCfybj4TWPu0zML3bXcE1NTA6I3jqkb5/KpHpVwbXxZRa5cTpQ4la21v4ITULysl3guJarl/sYSUPVknHgG6r0nZwu5zN4s3w4SF0hYoJb/TQLf8Bnq1RGpQfquX/irX7d8mAtT4BeLVXDfe8bCLJRxPqql7ynM4fp7cw+X/ljIOe474eE/pvnLeEcD4+SIcdbc5HrfpIUcwjldL260noRqniDHq7XO919bHE9VSXtOjS5dfe4A99hNgyxtSR16VJFI44Wqgda4MohPVzudjSak38aQ8V7qN7LYnP8xnybQl9AClv0u+c7DHXQ4Vl2tpD7zfnyz1Ip0CrjlA7tmF9kDktXuAR38iv49umwd7pO1pmiH3qWM10DBF2sne9txi8PyjpB/d9WRg7/Ok74VChthvbgM9Tt200lKXXN4yafneoX77Hm+W+qwF6yBbS9mDkM2vyvORHpIBaXeb/H4m//uF7H+0O3DeX2VQ5MdD3xd7yZw4WnCsDB6tNLDP++S7tEdTyl5xE0uIWLjkdyJ6aNIp4L4rRTQ+4WqpO1X1Uj+evVEEmtSQCMurHgWubM9/sq1zg7SBS/8KvHir+zc3Pec6Vgd7dZ71BzmnYYq7H9ft1UC3lPXFW6Wv3f/DYuN678lvjpW/zzhA+v8/nSffqWIywRRPSj3U9yxZaz9nNokaOQ5IO5SoyRysTt4duOi//r+P7k+P/x6w4GjgJ3vn9xtqTBtssFccM7YslxVPu52a/3Ue+p6s7Jp9sNgwNc3ue6FXDDz6Y2kzknXyux92me3d3SV2QucGW3TokHZzxX2OvVosjvuO2NMPXAXccq44Dgx2y/+w8Fhg1tvFtqqfaN+vpDijdG+WydB4VRZPybQ831vfkH5x21ppi2a+Xa6n7W2Th38APHeTiNYmS/8q46NErTNpqNuT7jbZWmYBh1wi9j4gIpjpRa3DfgHSt/zzEudvj/9MVloNGG1ITTOw+2liUz1zgzibDHTJs3XNAY64/d//A+77qvSFh39JvIXrJ8ozU9NsrIAxN7v8ve22F3fKeQY7N4pXet14e2xZJc+8329ttsFDA8Ab/5H7AyX2tZ6AqW2V191t8kxtXOquWz/YWcoy4wBp49NDIoytXQLce0XmfYol5XmuaXaezY7Vsp+6l4wVlt8jbaP2vE0P+otR0/YRMb+QWBbw7E1Shs3LgbZlcrxxKrDXuWLzxJP+fUx1k+0FnhQbWTt41I0Xu9rXnjDsCsuS376qzhYAszwfgz1yf+omeFbV+lz3+iOlrx8N350j+2yrYPWqtNWP5ycc97YDD18NPPVrZxz5iadlfKVZcT9w0+lS96bsYdvftj067wixa6sbnPYlPWTbsnp1tuHJ7fd+sFc201bSgmWi2rbL7FVhfdt8Jtvs/a+PkvK+9Dfg1guA478PvP0jwf/76v+JBqP/73i12J9zD5X+NFkrz/XLt8v43kssKROCExfJs73vBXJfOteJ/tPdJr9DTZO0lwPdRrnjbtuxutl/5etAt4xZVj0qz+B7/yR1OGnoEqkh4Jr95fWqRx2BedG7gHlHSpvox1tPOWO+wW6ZLIolpKx6LKL7wNSgLSq3id28fZ3UtaZpcv3GafJcxexVdw2TnP+buKBwPJaY+47if8cpP5cG8YVbZAZryu7Ac38Anv6NbABw9h+BXU6Q1wuPB167yxZSu+VBAyR0w2M/BaDEmF5wjDRo//qsDFpO/mmmEf7Gg8CmZXKNpukyYEpUi0iiPUgA+RsgIsOyf8n1G6caovgoefh7IsIB4iFzxu/y/+wxV4nxMtQvv4N3acPEnYGPPyHGeN04Mf5UPPuyyjpbEBvsdQb9LbPkt167RDq7oP/X6yk32CedoXfZnWmgatEYAHY5CbjncuCFPwGfe31kv+tDtlflUVcC8w6X1+fcIl6hyVqZ4X/mRhF0J+wsg5iaZnuZb7WzJH3GfvJ/17TkHypg6h7Zl6V5+ehD+Z+rmbZX/udO3k0M4JEwbifn9fyjcp+/22nSYU7c2Z5tXiOdbW2LLDeKxcR4veuLwMAWEXRXPgK8eqc8M3ufB8w+RGZgn/uDIyrMP1omqh76rlzX9JTWInxqULyCNr/mhNMA5Fl6+HtSj1Y9JoI5IAOCxR8To27iIv9BWz5ozxXTs+rVu5zXm14KFo77Ox3h17JEZN6yXETJzg3yDPdsyZwdf/0B4LYPykD7sC/mX9YbTnbE+eO+I5MfJpN3BRYeI6/3PDv39bTIEks4Hvits+V/Wfu0PFOfeDLzcx2rRfSNxWVyYqDLFgKbpE3SQm+iRtqm39pLBT/yoPy9v1Pa8EF7+d1IvOGy4f09cnHkl53X/Z1i9OVqn0yPgZF4sUQFU2xc9Zi0lYUKnzJatq2R/uGYq+T92iWyH+iWCYx4tfTNpgBeN0EmnYbD/KwVD6GaZqCu1eMhYgvZ6SHp62YtLv7/ZA4282HK7rnPOfprEsoAkMHbJS/I6/4u4LrDJJTRgZ8A/nOVtNeHXy7/q2XlH0tysFfEEa9Iu/4FeT4OuNB9fOpezutVtjj2xC+AAz+e/XvaXhMx+tU73e3PrINsYdaezNUD4YbJMkBrXwUsvkj6EkCEh0Un5f6/APl9svH5153XN58lE6SA9D16wk0LZ6kBERA3LpVVG0/8QvqQGftLnVx+r5x37LfE7kgPiiCx4QWxX6obnX5laEAmyJ+5Qd7veY7Yrof8P5kk7d7ieNRnQ/eNgNjHW5bLa+1FGoRlSV91/9flmVpmrxC74F/Z68xI27/edlsAu1H674e+I5NxB30KgPJxqhgCVj4sgl/rbAkX1jjVCds2aTdjsjEuE0A6Rv8DV8lERywJXHCnDNqDbISJO4/s/xgJC44W4Xjuoe7j2sb43PLMyWMdGsE7QZsalN/vrs+LOPncH8T5YN6RIqIs+5f8DrMOEjuubRmw66ny/9U0i7is46O/7QwRV1ODMjkHyG/d3yWicf1EmeDIVXeKzV7n5Hde33bg5Tuk3W1/U/qTWQfJajZvHd68XJwvOjfYTh51Ut/6trtDYM0+WJbev/2j8n75fSKs7XKSe9J6qE9+1/ZVIlolPUvkg+rdUD9w07ul3p5yTfYwcbd/HHj+ZmkHp+4p93zeEdKmleIezdy/8Nfc6TCp6/mwaZk8662zpR/QDHQHC8d6Es+8p0Gk044Yvehkabtf+quMX95lr5R79ibRIwDgkhdHFkIoDKbtAyy7U15vfT37uX8+X+r2e2+VehVUZ4/9prQ56ZQdQrFadJSg8yfvmt/YM18+eI+I4XucJd7PfnzsceCp62UMdP/XpX6cdaP/uZo9zpBwhTVNzmqWOe8IDi+UtidJihF+qIKgcEzcxGLAqT8X4fjBb8nAzjSExs93RGPAic/14HdEKNLG3qM/FgHiwgfs5dE2a54EHv2RGOl61lkpaQBfviO4XAdfknns3ivE0HCV3xigXvyEv2egZckAq3uz441U1eAYhWf/EZhzcLZfKRMtoiSq/b1IATEO9UAiH6NXGzIdq5x4w5YlHg93XAycdh2wpx1TL50SbwiN2UlbaQk/se7ZzDAX5qDFpKoeeOLn8rpna/YBUDoFvHibE4tVe0Lu/m7nnJ2Pd2JW7fsBKVPDxOBravziDxM3DROB47+b/Zy9z5NBR99253fv2SoDaXMZ5cwD5DdvnimiMSBez8/d5L6eni2+4RRHYK0dJzPEi06WwfvSvziDWQA4/Ar/AcFoiNldl55QAYDpe0u4g952YM1TTv3bvFw8ejvWiCfM+ufleU3WObGGNSoubUFVnRhW29fKTDoA3PJe2ev/d/3zsvw2mxHStUlE45bZwNl/EK+/HaVhsgwcJy5ylqDvda7zWyw42v9zLbNky5dLlwOwHAFPD3SSNW5vgTAZied3uaBj10aB1rmOx6XmlX/I/thvZgqWlUiiWp7Zro3Sl99xMbDzifK8blkuW9urcu57fj06QUyHxvDaHql+8VQMwlyCes9lIhz7xUXcsFS8L//zTfHK3fVUue9rngROu9axQ3Lx3x9JmeYFeF3vKCf+QPqenU/MPegEMuPpbnxZ+kNz4r9lNnDjqY43mHaceOpX4kwxbR9n8AqIFyEg4nS2JdkacxXZq3c6r00hy0Tfn39eIpMFJnu+tzD9q4kWeA7+tOzPz2Kna1rnOK+9v3E25h8lHqh7nztyG7yQaMF4oSfOql4N4Nfv6Mn0oQHZNFtXymTFk9c5xw6+RCag40m3V/lx385eLu15t/UNt3inPVkPvzx80Xgk1DTJSgpAJsuyTZxPWDDyiT0AWOAjgMUTQNz+LZWP8Nu/XdrqaZ7VA+mU4xUNAEd8SRyc/HjilyIazz8aOPfWwj+XYdO9WSZCj/hy8CT2z98uHr4fvk8Ees1QlnBsui/MR5zWz9Q+75fVrYC0oUt+Jys2Tv6J9LeN04DTfxV90RiQEC7aTlfx4PMsS1YEzHmH43gSRDxZuLjJo2HW4twT/5N3BU76obweSZhMPZHbNE0mZ7IRi1E0LgAUjkkmsThw2OUiHD/ze4krBYjwtN+H3OdqUfjh78v+dyc4McEOv9wtGgOy7BoA/v4pWb4z60DghO/bs84LxSjt2+4kNBvokiXp2pvJZPm9sj/2W3Z8S3uJ1foXgBX/lpnGxUb8tFfvFkN/3TNuwclkp8PcwniY6NnA2lZjuXzaWUL/+v0yYNu+XpZnrn3a+ey2tc7r1+93vHC8BC0j1bO+gCR/8xOO214D/vIhEYw1LbNlZv+gTwUbSvl44ZDCk6h2i/V+Af9j8cykmD2bxfvKK7C2vyki6vR95Zk3Byx7nCnLrP73Cxnk7P5uCW1QKLQHTn+nc6xxqhjxve2yzG3VY7KE7fX7daGd1QqpQWDSHBG75x0uHngts8Rjx/Qgufty8SjTiS4AYPp+snLg2kOBhceJ15AfvzvJ8TQ+6YeFEY31/54acD9HVlo8CoDCfU8xEy6Ssc9Oh0u/2+kJn7TBnszY7fTMz1QqH3tMvElfvl3skmdvEs86zZr/iW00Wi9K/ax6vbQGumVgGYQ3nnpqSEJqHHYZsO/7xbvvbxfJhBsgwtXRX3dExGyeeX6cfi1w71dGvgonX5pnAFd2jP7zk3fNPOb1On3pbzKx+IAdnu3CB9y2jp7szpYsyMSMM5msM8JoWLLEGpbj/fXQ92UlX12re1XZXucBa55wvP/HKmf9QSabdw7ZBtdiopWSCedl/5SQchtfdsLXeYnFxFM6NeAJhVItIptmn/fLKoTRoCcTqpucMQGUMz6atJvvx0gemJNoD35bRMn3/lk8uo/+htzfp38j91ZPBG5dGSwcP3W92Mln3VR+ojEgIcZe+buMFd/z68y/62dgwwvAN6e68x9ki8GubXstIAeRTtl5dJSECdLsdJiMdztWOfH+T7y6sOOPYqP1CW3Te7EsccAD8pucJKSAUDgm/hx6qSxN27ZGvPXGz5ekWV6GPdgs59hKWyzxM7B0Bnad5G/14xJLFQBO/YXMGjVNcy8zv/8b/jFu9KDowIvdx4cGgKsmioH/4q3iDbLb6cAfba+YmYslXnSD7WmZHrQTsw1Fr3NRcTs+jyEca2+H9S9I5/nn80U0PuFq+ftdn3fHi2wwPEp1ZnqN/u29aHEakBAEU/e0YypulzrRs0Uyo297SzyI5x4qXkgUm8qPltnynJqomBjUgMTT8/NyqR8PHOETl64QxGzjcttq59jWN5x4keufk1ALiRrgnV8A3namhACJxZyEaPnU1VjcTpbQ4RxLDTjJQV+7W6619Q2Jn/WanZRv3pGOaLz3+wq77Cte5cTY1ckenvq1493ZSi99UgJUzI4h54lNrIVjThA61E+Q1RhmXPLVngRM+31w9NfXnkleL63uNmcgbqIHpDrnwvD5m8ST+B+flpjgt7xXQtMceaUk12me6RZBRhpqaLfTRuaBOhoKLdLE4uKx1mmv4nrxz7IB0qd4v6/enpxd94zE5/ULoWZZ0qc+8E0nVEjLbBEEt9uT/ukhicsJSLKktc9IOJNxO8lKl5bZImbOP2rkeSiiSrJG6lnYDIfJSQF/+bCI8guPk/YuWz6OWFzun5nIbrDXeX/69bK8etTlitkhV/oN5xDLEeK8jjokf8ywfUv/Inud9HKvc2VSSXv4n3atrEIwHRdMLEtWksw9NDqrswqNXilRF9DPv2U4MlkpsZGdA8HX1c5M1U3Zv3/5v2V/zFXu3/ior0rbacbO3unw7NeKCguPkzG1/g2Cwnnc9QWJ7Tt1TxlfEFJCKBwTf2Jx4DNLgZ/uK4OMoOWOpjdLwxRZOvGcnaBFh7Ew8Qs0rpebBAXcb53j4xkzKIKJX7zZRJUkr1jzP3m/dokzI3/U1yRxxVghFncSsgFOkHdAOss7LpaEMEdcIcLRU/bMr+ntYi7FeuXvEqt2y+uyvWXHQp2xvzuLe/1ER5Ta8rosSXrxNlnCZXLQJ8e+lwvJTizuTuADSJ3Sz9RoE2XsaJkAdyKqhknihZWslzZjlxPE873GY4Aqlb+4oBO7mcuJO1a5Pfq/P1+8sgFbTEs7cS/P/3vhPQKUkmcyWSOe0m89Ke1g2g4ppDOOE1JMYvakptczaP1z7jjtRPDzomycBsASsdYM7TRSdB+/xYiJqNsDvYTeRCdSfe5m9/FhIcSSFRPJWllmPHWP0ZetHPjYo+I5d/dldtIvyET5YZdlnts8U/adG4DvzJJwbOfeKh6IfR0ywbj6CbGlqhqkj3rjQVm+XdviXEfHj9bcbq+eO/c2EfVJ8dATMVbKsZEHeyT0lNcD3UTHze0xPI63LAda7DoxvgDtYrzKzqVi2D5rnpQ2gMuwR8+wBzcyJ+C2rJCl/huXSoiwhsmZn3Gdb7fD0wLiuZYDm16RfVBoxu1r/Y8DdtI5H3SfBUieEr+wSRq9UmPXU9zHJy0CzvuLrIS6/SLJr1QVEPYnaiSqpd3XHsfePgCQsdiT10ry+Y88VJ7e7CTSUDgm2TnjdxKr6dDP+v89US0hJja/Buz/IYmBpzuMRp94QolqJ2u1Xu4z1Jc9sV084Y4ZBohRDgTPyM0/UpaXVTVI56MT+80bIzOPGhUX47W6SQYaOgs8IDGL1z0rMWXfYWdw1r/hViORmWnc/MUONVI3QeKF7WWHuIglnO8ARKjXn/uPLQzveooknqgbL/fMSnO2sxLQnoUmsbh4ogGFS5I2EhK2h4FpWFn2+52P9186Nxp04p8Ow7M5UeN+pqbsLsbp9H2dtvD3J0sokDmHFKYcJr0dIsxtWeHEbKsd54jbQbExCSkkKiYDPe3tljRWHdRPCqdMUaaqDvjUs9LXXrNYvBAn7QKceYMIUn6hg/JFT6TVNDuTWNprqXFy5vnv/KIMqqfv68Rsb5jijj3ZMlPi+eaTALDcqRsnS6BnLXaE4zN/739uokrsUp1seM0TIvrqeP8ts4FdT5bffrfTRSz+8/tFiGkw7tWAEXZk0ysSx3bG/hSNS4HpcRxLij3cY+cD0R7lfjTPFGHHFHX7tjkrpKoLYCvFEjJBbtr4W99wh5cj+aPHU8v+5RxrnOL2kO1tF7sOEIcELZYGxerteFP2UcpHUCi6N0v4Fh1WyU/cBLKHowgSjr2CfX9npuOH5tU7ZVJUT8p4aZwMvO9vwWWIIrGkhOj0G99oVj4o+z3PpmhMQoHCMcnOlLcBp16T/ZwP3y9LtyftKgnm1j0jBlLQMsY9zwGW/FYavsd/Lh13c0DjDziGm4n2qK0L8K477ZfA/34pXjw9WyULbk3z2IsBpj2OtaBrpSWu4PDfkyLu6w5Eex6Zngdm2AlA7teM/Zz3v3+XeFUO9YsA9tZT8r52nJM87/AvAe/8fEH/NTJG0HXQRMXFI2DCzuEYLzo5nks4tjO6+y3NHi1aIPbGAteDik8/704EBIi4cNkaO1FnluQWo6V5pvyvNc22gamkDU3Zz75OpElIMVFxGQDqZzBZI31T37biTJiUA9oTe9xc8V6LV0noqR1N8qj7fVPIGE5M6tM+61Uiuu2unyhtivn58//O5LReDvyEOCHkWmWjJ1U1y/4pjhSfXJLd+81cHTZkXONx2wY/4eqRlZeMjmGP47Qz9kgPiiCcbUVPoka8BU1vSxV3wlsUom/u3545yRSLBzvRkOz4xShunOoWjl/4E4bDK8w6yBHpg7xqdfzxBp9Ju7HOxqWy37Jc9qlBSVTfNN2dUygoPi/gjidtomP0j18g1+/cIH2jd4yx7jnRHHaOWGjJHaW7zRnbAP7Csfa0LlaeAEJyQOGY7Dg1TUCNLcgeeqkY1t64wyYn/kC8kyfvLnGQ7/0SsO8FwefHk5nipzbmguIrVTcCh35OXo/bCfjiKv/zoo6Ku8NOWGm39+Mhn/GIU3YHa3pEahF58cUSWkLHmdZsWiaxDQHpsHu2yFIrKyVZpQ/+VHnOnJP80F7vrmMx8TA0Q0WUEm1cmYNrWEBXW2HFWj1I7LKfj0SNPclif2/QxFXQ8r1CoMNhpAalfPGkHfPY/k12VIQiJB+UknqovYTSQ85AWnvMEH+O+hrw909KwuFCoIUuc4Jd2wB+Qpee1F9vJ7ZN1Iq4pSfIzr2NorEf4+cBX1iVu35PXJgZP3rmAcGi8cqHZZLejFFrisjP3ijv/UKzkcKjbQjT1tbtXLakh4O94iWpxytN06Vd3FbAdrFphkzkbzfGRH3bJQ8NGTnVjdJ+mnl0vPdp1aNOXosZ+znCZ5CX92t24vZyDtmk//fuNid2//yjgQl2PdS/4fv+Btx8lntMGiQc64lL3fZds39mOETLAv54trw+5hs7/G9EipZZsrJEC8Zehx1A+goVdycbJKSEMJMVKSy7nCjxheYdEXxOLC6ezEoBi04Sr71DPhN8fs+WzI5Gh64opkATBWIxJ6YxIJ2m9ja48AHg8Mvd5+sO1/RK1t4vDRMzRWPAEY3193W1yWAzNSQDJYrGlY2fx7GVFu+AoNjnpSgT4Pbs0m2EmcF8R9HP03Y7MVLDZDHqtJDslxSw2MRiTsiaWNKJw7x5uRiUxfByJsSLDmGz1Y7nmE47SST98hsQhwVHAZ99pXCJwGI+Hsc6hFDMZwVGwvZ81MuAdZui2zsuew+mtiV3wist5JtiVDaPUB1b2hQqvYm3Tv5Z3kUkO8iwJ74x6dJnr/rLJgbWtohXsR6X1E8QwUw/T4WItRpPiA2SqAGq7Enirg3lPxYqJvGqzFWtXjpWy2qv2hYncZsr4ZtNOiXJ35P1wWEWygHtPLF5uXPsGSN8z7a1sspi3hHAtL3dnw0SjnXYEB0GAwAe+6n7nBdvlZwA+5xffmF7Yp5VXH4exxuWMgkmCRUKxyT6NE7JNIp0CAVV5lVYxTwztZYYJtVNslzSu4RHvzcz3etlckGDwYYpzuvaVvE0Sqdsg7eAy/7J2ETFkZEF2UpJUqywMkb7eRxbltTXpgKKVsPti/3/1zSLSKtiEl8tjDAdOrbsYK/zTLe/KSK21zOckGKhk+PpVT9WShLSALLUl5QO3U6ZyWv1ygO/kGHD7actltS0SPs5vJJiB+ItE0e0N71As4W3OOiTcg9NcdmMk7voXcBe7y1sGUl2knVupw3tjZ/NJq5uErFH2+xVDfK+rwOAKozHccwWjtMpoN5YcTkQ0uqvciAWd69qNQW7vc4D3nsrsM/7gXPspKK6Te3ZLEKeyUt2XN3Dvli88kaB4RjGxtjgraed16l+J/SEd5weJBzr580URr1xwR/8tuyP/96IijsmULZNpR119KS8Zqhf7Kype5a+bITYlLnqRsqCeLV/jFWg/GfZVdyZCY8lnWRdQV6Fwx7HhsGrl9Z5PVg0C491OmcVsw3TQcejkVQ2fnVt21sSAsVM4FNKvMIHYD8bVmHbhOEl4APipRevAjpWSaKUbLEOi4k2Lrs2yjM62AM0TBIhf1yZeWCQ6KInMHRfM9hjLOFlv1FS/JINaRHYrw/XbbpuP+NVcu+0jcBQIzuG9phLDUqIMCB7mIlYQu5hqt+ZdNGhEU78AXDmjUyEVGpiSbfTxlBv8LmauL36Z2gAw0LxtrdkxZJShbmHeoVRasA90TBhwY5fu1IZ6HKLm+Z4s6oeWHgMcPJP3IlC6ycBL98B/PJgt3h87xWy3/f9xS1zVNCr8QD389K+yvEIHqlwPGGh4wDSv83p3/q7xMt7xv7lmctDh6HT9c906gKcyY0JC0tbLkIMKByT6KNUpnCsPWqTBVj6FWWUArbYy6H04C495A6g7/6A7FIDmeKaXxIIwBYA7Bl2FZfP6c9ki+dGKgNvYjhAvNl6triXlJUSXbfbXpF9vAqAlX1SZTRog3ewD0hUiVhbO06WK+os66VGhwiIV8v/3TBFnt+aJidUACHFZtg7xvDO0l5vQbG/SXHwG0Tr9slvFYI3mZ5uP3vb7fcU/neIfc4XL+693gsc9y3gi6slPFsQsQQAS2w9Hf5Ie+tVN1E0DoNY3J3DQYfFqs3ijR9Lytikd6s8Y91tMpGdqHbCG+xwubR9brlXdgQ5hpDcNE71CMdGn9YSkLjdFO0f+ynwzI3Ar46UMAq7nuqsOig39vug+70We+snARtfco73bnUE33yFY71iJlkL/L+XgYM/Le9vOh344znA83+U93ucNfryR5lh4TggVEXbMtm3zCptuQgxYHI8En20UGKiO6tyH+B0bXTEuXhSDMb0kOMJ6UV30FtXYlhEzuZ5BNjCvBaObY9j/Rkm2iJN0zKPvfGg7P2SN5QCvVSwpkXE0kRtHpMqo2DYM69PxJXWOc4y0bASn+iY06l+uTexhMSXHeylJwIpHSoGtK90xxnssJPQhhXCplLxC9ml4+U2+wgfwyuTtHCctEP96FisDZmfIfkzeTd3QuZcIpLuZxJVjuCvJ+3L3caNKvEkMGCIsdqzMtv9iCVkQn2wV8YsrXNkJVDbMgm5VwhicWDTy/LaFODY948e7cWtMUP9Td4983zAHRrkhVtkA4BZBwLvvr7wZYwKXmetQbudqm118uUMDchzMP9oee+d+MrlcazHrhPsse/rD8j+1Ttlv+hdoyp65BkWju3fIUM4flX20/cpbbkIMaDHMYk+ypMgDnAa1nIPpdAyy0l0F0vIcrl0Olgc0x10bYvzG2kROMjgNT2OY3ZyLZ18sBDJPMjYxk+UaLcHxWEaMCrueNjWNjtJJYImVUb1Hfb/vmWFEcbFXp7vFzu0FKiYEX6mSxJbpYdEKOISc1IqutuA+omSBEej618VJxxLil8brSf1/ELqaKFy+3rZa+E4ZXogk5Kh7bl0ygk5oD1IzXBMpHSoOLD+Bee9DoGVbWK6b5vYzokamXyJJ0VArm11vPl3lIFuJySA6cVejkv3S4WKucViU7Cbc4j/Z474sozPzIm5S5cDH7y7vCd7/BxJACfxumUBG+3QHRPtyQyvTe4XWqn9TeC2D7q/IygJXMPkvIs7pojFPXlbPI457Stl3xhwDwgpARSOyRhAuWMnbV/rZDgu5w4aEINGL1ns2Sz79FDuGMf9nUDrXHk9ZHgVBX1Gd1BaHNtmeysVUoQjYxM/UULH+wtzsGI+A8k6O8ZxlkmV0aD/97pxMiiMxW2P4xDjf5sJMxun2PExUyL26DaCkGIzbid5Fsx+RcdlTVB4LCm+k3v2IDNZ73O+J0dEohqA5dgK5Z47ImroPis14Ij2+l4w7Es4dLe5bQx9P7LZF/UTZLVFelCEY53ILjVYuPwDDZOlbICEB9CElW+iHFAxx0EHkAmcpukiBAeNm/Y6B7jkRckRA9hhwyb5n1tOBK1C1Z7ZQ/3AHXZc9wX2b5PRP3mE48Fe4Md7yn7fC4BJu8px04t+mu2k0jitfEP3KI/WkU4Bm1cAt39cJozaVwFQ4TmtEAIKx2QsoFTm0hYtphYynmkkURjuZMfNk/ftK5HR8XrZYmdjVXHH02GwL+BkoxNWMaBrk+M55jcgJRVGFiMtHqLAYE5quLzmiyAcDw2Id4mKi0ibGgx30mrbGtnHk1Km9BAACxg/P7wykcoiUS3PxZYVzrHh1S0UHkuKayBtvx4OO+GzasibHE9PvOlQI/Q4Li06tudAtyPad26QfYw2WCiM20lsYY2elM3W71c3igCZsifUirFCqWm6Mx4yJ+6DYvGS3MTiHsFuSJ7DfITg+UfJPqzQZaUmKFa3Pt7dJqFUZuzvJBPMFeP4zs/J/qQfAu/6sfOsVNWJV/3UvYC9z5VjE8rYxvX+Tukh4L4rgef+ADx7k4Qx0kkDCQkJTluQ6GPG4B2/ANiy3PH2K/el2WZiQJ1ApWESsGlZwPl2x1M/XozVWNztNZntM/p162xg7RL7O8tdmCc5yTZ5EObEv66byXopiJ5MKmSCOP0dOtlkLC6hYrasCG+g0NsOVDdLtumM8BkU7EiJiCclvmH9ROfZW/mI8zdSOsw2OpYQj0dtM/mJwHrSTa8c0aEq6sbbfy9Tj66oohMXD/ZK3H4A6LKFY676Cod40h3HNm2sygti+NkbNOwFe4VSvEBxw2tbjDIaz3a5j4WKiel4AMiK1nzD9C08DjjzBhFKK4EgxwxtK696VPb7nO/8LZtw/NhPgWdvBKbsAex5duZ1L/qv7FODspK2XBPjAZltfd82J99Ab7uMQ8ykjISEAKeySfTx8ybU8ajK3qj2CscQb4bWgKyqw0lvhoDGyfLZ9jfdfwv6DOAIzcO/L5uIiiebiFAf4tI8/ezrOquXybfMLtx3aI+8gW7ne6yUvPeL01YKmmd4QsvEZRVC2F7QpLLQK1nMGKxVdlgECo+lxSscA44HnZ+NpL1Y9T2MV9tJeVIUoMJAT/hpwdE8xsn7cPD+7nplRbb4qvGk9MPb3nI8jjvXywrAQoW26tvmvNaJyQCEO4s/xhletWWTHkLev6dSwK6nBMf+LTeCbEyd/HHtM7KfZMQn9o4ju23v/a424N4rJCTFh/6d+3sP+Ux5/87e36m/S0JzAsCGF4HNrwETdy59uQgxoCpEoo+KGeKpbcyZydzKGW/iOsDxfvRjWOjqcpbV6+Q4gcKxZ5lrzDCiKByTbHUgzFiYWvxQMbHxtddjIcs0PFE1ZHsQ2d698aTEMgwDM1moigFdG0XA71zHJeakdGgvyYFu5zkZ6nMnbCKlwU84HuiB9Od59OE6xrGVroDJ+AhixgSPxSWucSqPmLqkeHiFXi2YVWXxHI4lJaRFVb30yz1b5Hmqn1C4/AM6dwngFrGDVhSS3MTiTrgYAOje5CQgJm6Cxtx6pYQOo2aGTvGOIXSc5P98U/YnXB2ePR0lvL9TstYJ/7V2CQALqC7QygVCRglVITIGMOL8DounFeIRa4bpcAnHAbO+WjRTSn6b6mZZWg/kJxynBjI9kEllk817UHsYhsGwx3FC6qzOQl9Ib0dt4KaMpacdq8XbOKxQFeaKgFhcBpJWSuKU6qQ5hBQb/fzpxIyAeP0zXErpcfXttq3Uty276Gjep3iV43HMPr/0mF77Ssl908co5IeD17NS5wjJNjnbvx3Dnqrj5knOASsldnWh8g+Y5TLLks0TmmTHazPWtnLCJgi/3yVR43gcaxvUTKJnhnwB7Hj6q4Elv5X3cw8tfDnHIr1bndfNM6Xd0EkvO9fLnjGOSciUuepGygJXDF7tcezxQC5b/EJVDAYbNXqZaTrleGLm8h42jzdO9SQdK/ffl+QmixAbpnGtjf1YHPKc5Jgg2ZHv2LZa/teuTRJj0EqF97+byUJVXAaS6ZSI2a1zwikTqTzMvld7xWxZQa/3MDDbPD2Zp5fKB6Hv33Cc9CFp18p9Mj6K6NjSgLTppnDM5Hjh0LXR/X448WeWZ2rcPACWiMzxpEzmAhIzt1DtormiKpYA3v1rYOZiLmHfETKSkqWAOsaS9UWPR01iCccT/62nZG+GPPJOwrzyD+BH9sqkk3/K0FaaZsNLu2Gy5GtpX+k+p1JiaZPIQouERB+/ZZjDHndlPiusY6oCzv+6fW2w8ap/q2Hh2CfUReaHnJeJGvd5HESSrMnxQpxY0J4NKu5+TkxPhx1F/39VjTKQbJ2D4cmc0IRjz/M5nIBnqPzbQxIdzHahyQ5bUdsiy3xJaQmKcZxtQK4/E69ylmWnhypgMj6CeFd5xeJOaANO3oeDd0WRvh/ZYhXrZ6e33S3+93UUTjg2vz+eBN72HuBD94QbNmys0+Xps9KcQAvETM6m62Isnml3m31PrR1GRU+kbF4u+zNvAPZ+X3HKORYx2wids8XbbrQWMIcLIaOALSOJPmYHlBGqosyNaleoCp00pQro3Bh8PiCfUQoico3A49jrcWQmjCCViVkfJi4Cdj7BeR+myKC9a1VM6rpOIlFQj2OdbLJfvIm0Z16YAkuGyJCQ9pCiDyklZt+rPYpSg4Vbkk3yxy+81Pa12ftv/ZlY0vFSHuovf5sqipjttpW2bT164YVKkECcLQGtfqYGOuUemiuAerYUplzaaQYoXMK9SsebUDk9SOE4iIQnxBEgdd0UOKub3Z/R7Zsew3auk/2ik+ltbGK2LePnyb5vG7Dzic5x0yuZkBCgexKJPn7eNFokKnuhxCfGsYoFL0nXnbBleBxrT8x8hOOaFk9oEBpPFY9p2B14sYQzefVOeR9qqAq7bnZtBGABNc1iZBWyzppxxfXS7/RguN693uczlpTywaLHMSkdZt+rB41mojxSOsw2QXsPVzU6CdZ8P2O36/GEeIoDkmC07G2qCGLev/5O+x7YsarDzCNQyZir+mpbxYsYyN6+1U+UfccaYMJC998KFUbKFI7Y1haGjFAVQ5xAC8IUiOMJYBBSD80Enzohu0Z5hGM9iULR2I0pHFc32S8sYNIuwKGXSjiQbBNXhJSA0FQhpdSDSinLZ2NqTeLGT8jUy2LKXdj08zhODwV3Hvr3sNJGqAotHAd00l6PbnPgWNOUeT6pLFzPn3IPqEIVju16On6+JIhL55ggGdV3GNeKJ514wmEOLLwikYo5S/8o+pBS4V2pAtjCI8WMkmP24Xo5cKo/e8Isff9U3BED+rvK36aKImZf0jjVHV+XbXo46HasutlJvAtkF7uGvTEtoGer234uVLuo8xsAjMNbKLxtnh4/kUzMsWffNtmrmDvZqhmzHcj0OAaYzNEPPekL2M4gNn3bgen7ABMXZn6GkBITdsv4HwAHerYsLhKkIjEbU93xWJZ42pX7jKVSTudsCseBRo3xe+gl/LlCVehYSoB08H4e3qRy8U7c1LQ478OsH9oYjSckgZA2tAoqHBuD9lhSvnM4231IbY/5/9W2SPzEOjuGHJ9XUirMethsxzjONqlJioe5ZF3HoNSrJILQbVvPFue8jlVO+0ZKhykOx+Lu+Lps08NBP1OJKsdbuDqHI4Xpjdk625nEAQp3H7VXM+C+Phk9frYchWN/zDrXOlf23ZvdISwsTwI9P+HYsopTvrFM4xTntRnLmEmvSYQI2yLZalnWEyGXgYwldAeUVTwtJ5QYo6kBRxhLDQZ7oXhjHaqYEQ864PdyJcOLA70d7vekwlHu1+bgKAqhKmJJqafDwnEB66z5zHS3Ac3TneXf/V2F+57RlimWFKNy0yvynjHJSakw+w2z3jHuZulxCY/mipA84rE2TQcG++xjcQqVYeCdnFUem4yUHp18t7vN8aDMOSlmiGFV9R5bqUD30RTokrWFuWal4zc2oqe/P+YzoD3qx88X8T1ZDwx2Z7ZZ3lAVADB5t+KWcyxi9temQF+oxJqEFIBKUN7IWEd70wFOB1QpWW+Vcpbg19gJB9KDwYM75fE4zic5Xo2RyCAWB1pmGe85iKx4MkJVmIOhEJ9B3RbEqzyTHwX0BDb/v5ZZ7tUPpndAKfFODsWTzlLaSmgTSTQwB4dmpvXeraUvS6WjAoTjfBJ5JaqcPr+7DWiaVvjykex4heJYRMJBVTLjbG/KcTsZwlcO4bhpuvN6qN/9/BXqPrquyUm6guBnN5X7atbRYta5hD1xkbQjjOq62egJQ6Hrvmmn928vTvnGMkHtBVdxkQgR9ijzGKVUj73do5TaI+TykChidupDtmdMeqgyZoTN5HauUBV5eBzrGMd9HfpAwGc8g85ieEmQsYu3TkXFiBk27D1J4YoW47jKWZIPhJgcz5wcsuOT6jaiboL/ZwgpNAOGx32jITaay+xJaQjyOO7aFPwZM8axft2zufBlI7mJefrYoPtJSoe2g5WR92PYlg7A9AauaS5O2DdOKhQeX+E4bHkkopjjw2HBuNr9N6+HrPbeN+vrxF2KU76xjCvkVIvzOipjLkIQrnD8EIBPAzgWwEcAzALwiFJqTtAHlFIfUUo9rZR6uq2trTSlJOFjduDaO9aqEI9jU+zVnW5qKIvHsfGbbF/n9hDNJ7yFmSjH/E5SuaTMmJfKSUwZNro+93d5PLYK2C7oMC/6+8wEIGE9G6anRizmDplhDlwJKSYNk5zXVfXOa9bB0uNdhaDJFhtxWDiOuVcdMdxN6fFOzrqE40qwcyOI6SWpX9dPCj4fcMdArm4Cqhqc973thSlXrbECk4JSYfAVjuk040vcJ5yCnnBMeARkje6HXJMe/H0zMULdmG3JQE/pi0JIAAUb+SqlmgFMzXWeZVnL7P2VxuFHlFL3AVgG4BJ78/vsdQCuA4D99tuPkdUrBh/xND1UGUuJvN6FgMSQQlD1N84fN1eWDWvxKyhOkneZ/6DRSZmZXUllYi5dVsotEoWJfh6apmV6bBUKM0xOLCHLuoffhzSgHzfPea1iQMtM5z0HkqRUuOLxGbE2rXTpy1LpKGWvTkp7lrtmGZxr20KHu9EwVEUImDZu3C1aMb5lOOhnwvQ4zhVTOFFjfL4KqDaE40I9V+bEfSWMgUoBPY7zx6xzOh+OtknHzwO2rQF6POGqhp8l4zc1nTKIYE7g6rjqgHuSnpCQKaTL1BkAfpXHeb49nWVZG5RSjwLYp4BlIuWA1xsDqKAYxwGeRGYCu6DzVRzyuFmZnw/6TKIaqDeWu+fKIk3KH78Yx9P3BXY7LbwyAUZyPE9MyEK2C+ZAUMcM14TlcTzY67xWcbdXU4regqRE5LPqhZQOFRfhON+l7N2bnc8xNEK4mJOxShWvPyP5o++BUk7Il1xekqawHE84MWDz+Wy+RGXFVznh94x1bih9OcYaExYAqx9zhGE9yTV+nvs881nScIIyE9OWrzHG3uyTSYQoWG20LOt6ANfv6GUQ7EpJKhU/8bRShGOvJ4omqNNVXs8Vr5Ds9xnPMn9TLOMySWLOgkNJHbvwgdCKM0zXRtmruCOCAMUTjmMJoHGq+30YmM9+LO7ENwaAppyLfggpDKaXqukRUz+x9GUhxkRanqLj+PnAxhczhUoOUktPzGODuRJM0qs0FHTIlsEeeVY6VuUOX6CX7gOyIqPKfF+g54pexoXHr50cN6fkxRgznPgDEYnXvyDvh8O62DaB1zNf2wpmGCuupMgkaYw3TDuKKwlJhIiMKqSUmgLgEABLwi4LiRiucA12la2UGMdmXDSXwBuU6M6TjMMrJPt+xvP7ugaejENV8RQrfvCOopNwxWLuhFyFjNFpGrqxuFsgs0Ka4zSNSBV3JyaLM74sKREusTHp/5qUDt2/u7yHs/Tfum3LCI3A+1dyYt423ZgAjFKfW0noe9DbYeQJyXEv4kab2Nfh7o9pS0cXv/EUJ9CC2f/DwD7nZ3oaa7+//k73+fq3NG1m/r6ZmPHLa1qc14wHTSJEKE+uUmoPAN8GcCuAVZDEeJcBSAP4URhlIhHGNJx1JvfB3sowqE1vT1dnHCQce0TgfDyOvd4uXCZJTLwxsKPC8PI3j5d8rjiEI8H0IEoNur8nrCRSLpEh5ha3TQ8nQopJ2vB0N5faxzkgDAU9KDc9ubKJVcPtpyfUD5PjlR5TrB/odvc7tMHCQS8bT6f8Y7Tmomm6uy2k+BNd/O4rhc3c6N+or0P2PVtk3zLbfd5At+xNRyhOUGZihqEpxmoFQgpAWLVxC0T5+jaA8QA6ATwI4FTLslaHVCYSVcxO3Yy5WwkGtdmRNOXjheL1MM4jJqvrWir/5DqkMoiqx7EpfJhJ6xIF9Lo1r5Wocb83k1eUEvOZtFLuZGSJAormhGTDnNR0eeZzQBgKQ3bsczMGerb+W5/vnSzm/Ss95u9f0+QR/yPU51YSun1LDbgT5eWL977Rlo4u3W2Zx+ghnhvdbk1YKPuW2cCa/2Xa4I1T7PPt1S1WyhGTiQPbCDIGCEU4tixrLYATwvhuMgYxvRy1x593KUy5EjSgC/L8NEUkFXeSegDBy+y8wqDrGhy0VDyuCYcoeRwbS7P7thnHCyh8mB7GTVPdySvC8gIwv7e6EWiZ5byntycpFWZdMweKHBCGQ9MMYPtbEo9Vk038GDcPWP+8iCbmgLV5evHKSPwx+5nqJk84ogj1uZWEvidDvY6n5EiEHe+5hRQiT/m5xFwmhaHJp82jl2dueuzcInolcP922Xvrvv4ta5qd8WXzzOKXr1xomBJ2CQgZhqoQiT7euL0A0LMV6O8KpzylxOyA454l6n64knPEgfFG7Ncgw3XA+B2V8mT45gxoxWNOOERpEGt6HJviaSENfvP5S6fcySvCGljEPfFkGw2jkglHSKkwJ2jMWJ5M0BgOetWFGapHD+T90P3+hAVAnRFbMayVFJWMKRwnqo2JUBWtPreisEO/NM1wcijkYw/r2MjecwvpTbj3ucDhlxfuepWO+fxp6P2ZmwXHyH7+0bKvmyB705ED8Dhz2M9VIUPKlRve+sg+mUQITqmR6OMSju3OvLYZGKwAz6bYCGOkmb9Vd5snaVHA494w2f1506uSHsckqqEqNEN9bsG0WF63zTMyJ2bCwFwREEvIwHb4PZeZkxJhTmCYoWI4eREOul2IVwG1reIlOWlR8PkTdwGW3yuDVDME2D7nF7ecJBNzcjaedJKwUjQODz2Zkqx1JsYG8ljpqO1sr7091F+4spHCom3GZL0zrqRwnJtF7wIuWQq02N7D2g6on+Q+z88mTw0Ut2xjlQ/cnTnOMsOCERIyFI5J9HEleLNfp1PurKPlSlByu6ABhWnstMxyh6oIGtB74+m54lVGUCgkpcVlQEdoIDtgGPhmHS6WJ3As6X42wkru0TTNKEPC/YzWtpa+PKQyMZ+zeASeCyLEEsCcQ4BX/uFeieGl3vYOq58o9sRp18nkGAep4aMnKKM4UVspaK+/9JAjiPl5pnrRtrlXeNTPG4keesI9WeMIx35xj0kmLUbIicMuAwZ6gEUnuc/RtoIpFpt2LHGYfaDz+vw7gKV/dU/MExIyFI5J9PHzOE4PVYZRbQ7OXSEkguIVm79VMj+PZW8IDFMEqITfmGTHHCxFqT5og7VhMmBZzvFiJYhr8cRkS6eK8z258IuzPGGhhO5hjGNSKkzv+xrDY5Uex+FQNx5of1N+/5N+BCy+GJi1OPj8/T8s9/BtZ8j7Pc8qRSlJLpqmA22v2m8iNFFbaehJ2D3PATrXy2szWXUQ2sHDayuxXYwuppd4vBpI9UuiNzIyGiYBp1+beTw1KPvOjc6xZH3mecTNTofJRkiE4CiTRB9z5lcZwnElLMvu3eq8zidJmSkOxxLODK+KB3spe4VjUwRgjGNixiJLRWi5pR6IxavcnsD5DO5GwuyDgVWPZnrvhRV3zFxpoUX9C//DpX+ktFQZwnGjEdc4SpNLlcROhwNrlwCzDxLvxlwejlX1wAEXlqZsJH+qGx2bzAppcpKIR+RnXxOP/Ed/JMfMMFFBdG6QvdfepnAcXQZ7ZK9i9ripnytnConOw9EyC+i2V8E2zwg+nxASWSgck+hjDkpNj2PTM7ZcMeMPm8JxoMexRzjWxk+25fum56SKuYVCGk/EfM5qxwWfV2p0nY5XyeBOU+hlXe/+NdC2LDOZR3WD//nFxlxKrsXrsMpCKhfT49jsJ7zxDUlpeOcXxDtywvywS0JGQ/0kEVWapjtOEfkIlaR4NNr2txZ987kf4+cDG1/MPB5WMl2SGz3JZqWNGMe8XwVDjyFaZgILjwWeup5JdAkZo7BlJNHH9KId9jhOVYZnk0vENWMR5+NxHHeE52xGkOnBqJR7CZEpDpDKxAx/ECWBUmdu7ttWXCO/aaq/kVsXUszCRBVw4CdENGbyJBIWQZOKjJEbDokqisZjmQ/dA6x7FqhtAQa6wi4NMdG2dzoP4VivEtST2YlaYKiX7WKU0RPwAz0ycbN9LYXjQjJ1D5nY3PcC8eR/x6Vhl4gQMkrYMpIxgCGO6ERQlRjjOD1k/CFAMHLFOE44S/izZQh2CfMxd7Itr5clqWyi5OVf2yL7unHA5N3kdSkM0nd+AVj2r8KHxBgJx34zvO8mxI/6iRJWyvT+J4Tkx7idZAMYXzVq6EmyfEJ11Y4T4VE7uZxzM/DwD7g0P8roUBXpQee+ZRszkZERTwKHX+68Z9J1QsYsFI5J9DHFUDPGcSV425lxnM0BeT6hKqw00NPuvA78jiwhMDjrTkyi5HGs62rfdqB1NnDpitJkLj/8crcRTAgB3ne7CMccFBKyY3DCPlroWNODfbnPPeyLwK0XAJMWyft5R8hGoosOh2iOKzn2IYSQDNgykuhjCsRmjOOK8Dg2hOBkjfM6SDRPeMJZjLc9WPSMuh/e5HgmlSDOk/yJksfxbqcBj/8cWHC0vG+gpyMhJeW065w+asru4ZaFkHLBssIuATFpnCb7zvW5z110EvDlNtrOYwktEqeHgI5V8prPICGEZEDhmEQfP4/jwb4KEY6NRzRheKEE/e/VTc7rhilAvx0rTy+BzPUd2tid8w4aviSTQiee2xGm7Q1cvi5aZSKkktjzrLBLQEj50Tgl7BIQE30/erbkdz5t57GFHgMlaoG3vRt49iZgD/ZthBDihcIxiT6mSKpjjKX6K0M41ok2AE8yoqAYx8bxqjrHSznb7Lnfkqzz7wj+DlK5mIkTowBFY0IIIeUEQ1VECx3K4FAm9SpLzDHQKdfIRgghJAMKx2QMYAiYNS3G4QoQjs0kKToZGJCfR8O4ecCQLbTPOTj4vLpxmceYGIKYnH0z0LYMiLPLIIQQQoqGuXKMhE/TVOAzLwFN08MuCSkGjGdMCCF5wdaSRB9TIM6WyK0ciRselVWNzutswvH0fYG1SyQ5x6RFwLi5wNS9gs+vbpJlWdP23uHikjJllxNlI4QQQkjxaJklTgMHfCTskhBN84ywS0CKhr0ic6g33GIQQkjEoXBMoo9fcjyg8oTjakM47mkP/swZvwcGup3fbfq+2b9DKeD060ZfRkIIIYQQsuMka4BLXgi7FIRUBlUNYZeAEELGBBSOSfRxCcdGle1cV/qylBozrrEZz7VpWvBnWmYWrzyEEEIIIYQQMtapGx92CQghZExA4ZiMAQKE49a5pS9KqUkPyb6m2X2cyVMIIYQQQgghZHSMnweoOLD/h8IuCSGERBoKxyT6mCEpXPGOKyCBmxbH+7a5jydqSl8WQgghhBBCCCkHquqBKzYx+TMhhOSgAoLEkjFPJSfH8ybkiNmhK8wQFoQQQgghhBBCRgZFY0IIyUkFKG9kzBMU41hVgMfxpEUSf+vwL8n7I78i+zmHhFcmQgghhBBCCCGEEFL2cIqNRJ+g8BSVEKpCKeDSFUDM/g0O/hSw/4eBqrpwy0UIIYQQQgghhBBCyhp6HJMxQJDHcYVU35jn/6RoTAghhBBCCCGEEEKKTIUob2RMkx5yXjdMdl5XgscxIYQQQgghhBBCCCEhQOGYRB/Ts7h+gv9xQgghhBBCCCGEEEJIwaDyRqJPbavzOmmEaaiE5HiEEEIIIYQQQgghhIQAhWMSfeJV/q8He0pfFkIIIYQQQgghhBBCKgAKxyT6xJPGa0M4TjJJHCGEEEIIIYQQQgghxYDCMYk+pnAcC4h3TAghhBBCCCGEEEIIKRgUjkn0aZnlfl8/SfaJ6tKXhRBCCCGEEEIIIYSQCiARdgEIyUnTDCBeDez0TnmfHrL/oEIrEiGEEEIIIYQQQggh5Qw9jkn0icWAS18DzrxB3u/7ftnPOyK8MhFCCCGEEEIIIYQQUsYURThWSp2llPqrUmq9UspSSl0QcN50pdTflFKdSqnNSqmfKaWY8YxkUtsCJGvl9VFfBS5fB8x9R5glIoQQQgghhBBCCCGkbCmWx/F7AMwB8M+gE5RSSQD3AJgN4GwAnwZwBoDrilQmUk5U1YddAkIIIYQQQgghhBBCypZixTg+y7KstFKqAcCHA855D4BFAOZblrUSAJRSgwBuUUp9zbKs5UUqGyGEEEIIIYQQQgghhJAsFMXj2LKsdB6nHQ/gKS0a29wOYADAccUoFyGEEEIIIYQQQgghhJDchJkcbxcAy8wDlmUNAHjd/hshhBBCCCGEEEIIIYSQEAhTOG4F0OFzvN3+WwZKqY8opZ5WSj3d1tZWzLIRQgghhBBCCCGEEEJIxZJXjGOlVDOAqbnOsyxrWa5zdgTLsq6DnTxvv/32s4r5XYQQQgghhBBCCCGEEFKp5Jsc7wwAv8rjPDWC724H0OxzvBXA8yO4DiGEEEIIIYQQQgghhJACkleoCsuyrrcsS+XaRvjdy+CJZayUqgKwEzyxjwkhhBBCCCGEEEIIIYSUjjBjHN8FYH+l1Gzj2MkAqgHcHU6RCCGEEEIIIYQQQgghhCjLKnyoYKXUrgB2BVAD4EYA1wB4EECbZVkP2eckATwLoB/AlyFhK/4PwH2WZZ2Xx3e0AVhV8MJHnwkANoddCFIxsL6RUsG6RkoJ6xspFaxrpJSwvpFSwbpGSgnrGykllVrfNluWdZzfH4olHH8VwJU+f3rIsqzDjPNmAPgZgKMgAvItAD5nWVZPwQtVJiilnrYsa7+wy0EqA9Y3UipY10gpYX0jpYJ1jZQS1jdSKljXSClhfSOlhPUtk3yT440Iy7K+CuCreZz3FoBTi1EGQgghhBBCCCGEEEIIIaMjzBjHhBBCCCGEEEIIIYQQQiIIheOxx3VhF4BUFKxvpFSwrpFSwvpGSgXrGiklrG+kVLCukVLC+kZKCeubh6LEOCaEEEIIIYQQQgghhBAydqHHMSGEEEIIIYQQQgghhBAXFI4JIYQQQgghhBBCCCGEuKBwPAZQSu2qlLpfKdWjlFqnlPq6UioedrlINFBKXaCUsny2i4xzlFLqcqXUGqVUr1LqYaXUXj7XylnXCnktEm2UUvOVUtcqpV5QSqWUUg/6nBPJupXvtUh0yLO+venT1m3wOY/1jQSilDpDKfV3pdRapVSXUmqJUuocn/MuVEotV0r12ecc6XPOdKXU35RSnUqpzUqpnyml6sK+FokG+dQ1pdSDPu2apZSq8ZzHukayopR6j1LqMaXUFvuevaqUukIpVWWcU/K+j/1oeZJnfaPdRgqO3Yd12fWpwTjO9q1YWJbFLcIbgFYA6wDcB+BoABcB6AZwVdhl4xaNDcAFACwAhwNYbGyTjHMuA9AL4BMAjgJwJ4DNAKYY5+RV1wp5LW7R3gCcAmANgFsBvALgQZ9zIlm38rkWt2hteda3NwH8wdPW7eM5h/WNW6669jiAmwGcCeAIAFdD+tFPGuecAyAF4MuQ/vUG+x7vbpyTBLAUwDMATgRwLoCNAG7yfF9Jr8UtOluede1BAA942rXFsHPRsK5xG0F9+yiAqwCcZt+zL9j37GfGObTbuJWyvr0J2m3cCl/3bgawAdKfNoRVRyqpvoVeAG45bpBUsnYATcaxzwPoMY9xq9wNjnDcEPD3GgDbAHzFOFYPoM1s1PKpa4W8FrfobwBixuvb4BHyolq38r0Wt2htueqbffxNAFfnuA7rG7dcdW2Cz7GbAaw03r8K4DfG+xiAF2GIa3CEtbnGsTMBpAEsCOta3KKz5VnXHgRwW47rsK5xG20d/CaADgAqjL6P/WhlbWZ9s9+/Cdpt3Apbxw4FsBXApTA0ELZvxd0YqiL6HA/gHsuythvHbgFQC+Cd4RSJjDEOAtAE4M/6gGVZ3QD+AalfmnzqWiGvRSKOZVnpHKdEtW7ley0SIfKob/nC+kayYlnWZp/DzwKYBgBKqZ0ALIT7nqYh3vDe+vGUZVkrjWO3AxgAcFyI1yIRIVddGwGsa2S0bAGgQwfQbiPFxqxv+cL6RvLCDgHxUwBfh3jsmrB9KyIUjqPPLgCWmQcsy1oNmcXYJZQSkajyulJqyI4v9VHj+C4Qz5LlnvNfgbsO5VPXCnktMvaJat3K91pkbPIhpdSAUmqbUuo2pdRsz99Z38hoOBDAa/Zrfd+Wec55BcA4pdRE4zxv/RgA8Drc9aPU1yLRxqxrmmPs+Ig9Sql7lFJ7eP7OukbyRikVV0rVKaUOAfApAL+wxM2NdhspOFnqm4Z2GykUFwGoBnCNz9/YvhWRRNgFIDlphSz38NJu/42Q9ZD4c08CiAM4G8AvlVJ1lmX9H6SedFmWlfJ8rh1AnVKqyh4w5FPXCnktMvaJat3K91pk7HEHgCcAvAVgEYArATyilHqbZVnb7HNY38iIUJLw61QAH7QP6Xvb4Tm13fh7G/KvH6W+FokoPnUNAB4C8HsAKwDMBvAlSLu2p2VZb9rnsK6RkdANEVcAiU39Ofs17TZSDILqG0C7jRQIpdR4AN8AcJ5lWYNKKe8pbN+KCIVjQsY4lmXdA+Ae49BdSjJxX6GU+nFIxSKEkIJjWdanjbePKKUeA/AcgA8A+FEYZSJjG6XUHEjM2Tssy/pduKUh5UxQXbMs60rjtEeUUvdBPJgusTdCRspBAOoAHADgKwB+BuDjoZaIlDOB9Y12Gykg3wTwhGVZd4ZdkEqEoSqiTzuAZp/jrXBm/QnxchuAcQDmQOpJgx0TyKQVQI8xw5VPXSvktcjYJ6p1K99rkTGOZVlLIQmc9jEOs76RvFBKjQNwF4BVAM41/qTvrffet3r+nm/9KPW1SMTIUtcysCxrA4BHMbp2DT7nsa5VGJZlPWNZ1n8ty/ohJHTAx5RS80C7jRSBLPXN71zabWTEKKV2g6zU+bpSqkUp1QKZrACAZqVULdi+FRUKx9FnGTyxT5RSMyEPijfuGCEay9gvg4SwmO85xxuTJ5+6VshrkbFPVOtWvtci5YEFp80DWN9IHiil6gD8E5LE5yTLsnqMP+v75o09twuArZZltRnneetHFYCd4K4fpb4WiRA56loQ+bRrrGskH56x93NBu40UH7O+BUG7jYyUBQCSAB6HCLHtcOIcvwVJmMf2rYhQOI4+dwE4VinVaBw7C0AvJCYaIX68B5JpdBWAxwBsB3CG/qM9iHkXpH5p8qlrhbwWGftEtW7ley0yxlFK7Q4xvJYYh1nfSFaUUgkAt0IGIsdZlrXJ/LtlWW9AkpeZ9zRmv/fWj/09iX5OhsR6vDvEa5GIkKuuBXxmCoBDkNmusa6R0XCwvV8J2m2k+Jj1LQPabWSU/BfA4Z7tu/bfTgDwfbB9Ky6WZXGL8AZxYV8P4N8AjgLwEQBdAK4Ku2zcorEB+AuALwA4HsBJAG6EzOJ+0jjnMkh2z4sBHAngXxBhebJxTl51rZDX4hbtDTJb+h57exzAS8b7uijXrXyuxS1aW676BuBEAH+ELPM+HMDHAKwF8AaAJtY3biOoa9dB+slPAVjs2artc86BZMG+wq5vv4MMBHY3rpMEsBQyAD7B/swGADd5vq+k1+IWnS1XXQOwh91eXGDfz/dDPJC2ApjFusZthPXtbgCXQsYExwD4mt1n3WKcQ7uNW0nqG2i3cStu/bsA0r82hFVHKqm+hV4AbnncJGBXAA9AjLX1kGyS8bDLxS0aG4BvQWJF9dh1ZAmA93nOUZAs3W/Z5zwCYG+fa+Wsa4W8Frdob5AY2VbANifKdSvfa3GLzparvkEElvsBtAEYhAgdvwMwjfWN2wjr2pu52jb7vAsBrADQD1l+e6TPtWYAuB0yUNgCWTpZ53NeSa/FLRpbrroGYDqAO+22ZcC+738BsAvrGrdR1LdvQCYFugB02PfskwCSxjm027iVpL6Bdhu34ta/C5ApHLN9K9Km7H+EEEIIIYQQQgghhBBCCAHAGMeEEEIIIYQQQgghhBBCPFA4JoQQQgghhBBCCCGEEOKCwjEhhBBCCCGEEEIIIYQQFxSOCSGEEEIIIYQQQgghhLigcEwIIYQQQgghhBBCCCHEBYVjQgghhBBCCCGEKMdIhwAAACxJREFUEEIIIS4oHBNCCCGEEEIIIYQQQghxQeGYEEIIIYQQQgghhBBCiIv/D4hvhPVHlIwWAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1440x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# looks like electrode 20 is well correlated with finger 0 (the thumb). Let's check out the timecourses.\n",
    "# interestingly, we see that many thumb flexions are indeed correlated with this electrode, but there are other events too\n",
    "from scipy.stats import zscore\n",
    "\n",
    "plt.plot(zscore(V[:400000, 20]))\n",
    "plt.plot(-2 - zscore(dg[:400000, 0]))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {}
   },
   "outputs": [],
   "source": [
    "# needs more plots!\n",
    "# looks like only spectral information above 50Hz is useful, but I might be missing something."
   ]
  }
 ],
 "metadata": {
  "colab": {
   "collapsed_sections": [],
   "include_colab_link": true,
   "name": "load_ECoG_fingerflex",
   "provenance": [],
   "toc_visible": true
  },
  "kernel": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}