{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# ETHZ: 227-0966-00L\n",
    "# Quantitative Big Imaging\n",
    "# March 8, 2018\n",
    "\n",
    "## Basic Segmentation and Discrete Binary Structures\n",
    "### Part 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Lesson Outline\n",
    "- Motivation\n",
    "- Qualitative Approaches\n",
    "- Thresholding\n",
    " - Other types of images\n",
    " - Selecting a good threshold\n",
    "- Implementation\n",
    "- Morphology\n",
    "- Contouring / Mask Creation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Applications\n",
    "\n",
    "- Simple two-phase materials (bone, cells, etc)\n",
    "  - Beyond 1 channel of depth\n",
    "- Multiple phase materials\n",
    "- Filling holes in materials\n",
    "- Segmenting Fossils\n",
    "- Attempting to segment the cortex in brain imaging\n",
    "![Cortex Image](ext-figures/cortex.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Literature / Useful References\n",
    "\n",
    "- John C. Russ, “The Image Processing Handbook”,(Boca Raton, CRC Press)\n",
    " - Available [online](http://dx.doi.org/10.1201/9780203881095) within domain ethz.ch (or proxy.ethz.ch / public VPN) \n",
    "\n",
    "### Models / ROC Curves\n",
    "\n",
    "- [Julia Evans - Recalling with Precision](https://www.youtube.com/watch?v=ryZL4XNUmwo)\n",
    "- [Stripe's Next Top Model](https://github.com/stripe/topmodel)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Motivation:  Why do we do imaging experiments?\n",
    "\n",
    "\n",
    "- Exploratory\n",
    " - To visually, qualitatively examine samples and differences between them\n",
    " - No prior knowledge or expectations\n",
    "- To test a hypothesis\n",
    " - Quantitative assessment coupled with statistical analysis\n",
    " - Does temperature affect bubble size?\n",
    " - Is this gene important for cell shape and thus mechanosensation in bone?\n",
    " - Does higher canal volume make bones weaker?\n",
    " - Does the granule shape affect battery life expectancy?\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "- What we are looking at\n",
    "![Standard Cell, http://en.wikipedia.org/wiki/File:Average_prokaryote_cell-_en.svg](ext-figures/Average_prokaryote_cell.svg) \n",
    "- What we get from the imaging modality"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x11f135c50>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x117e14da0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "from skimage.io import imread\n",
    "from skimage.color import rgb2gray\n",
    "import matplotlib.pyplot as plt\n",
    "dkimg = imread(\"../common/figures/Average_prokaryote_cell.jpg\")\n",
    "plt.matshow(rgb2gray(dkimg), cmap = 'bone')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# To test a hypothesis\n",
    "- We perform an experiment bone to see how big the cells are inside the tissue\n",
    "$$\\downarrow$$ ![Bone Measurement](ext-figures/tomoimage.png) \n",
    "\n",
    "### 2560 x 2560 x 2160 x 32 bit = 56GB / sample\n",
    "- Filtering and Preprocessing!  \n",
    "$$\\downarrow$$\n",
    "- 20h of computer time later ...\n",
    "- 56GB of less noisy data\n",
    "- Way too much data, we need to reduce\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# What did we want in the first place\n",
    "\n",
    "\n",
    "### _Single number_:\n",
    "* volume fraction,\n",
    "* cell count,\n",
    "* average cell stretch,\n",
    "* cell volume variability"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Why do we perform segmentation?\n",
    "\n",
    "- In model-based analysis every step we peform, simple or complicated is related to an underlying model of the system we are dealing with\n",
    "- [_Occam's Razor_](http://en.wikipedia.org/wiki/Occams_Razor) is very important here : The simplest solution is usually the right one\n",
    " - Bayesian, neural networks optimized using genetic algorithms with Fuzzy logic has a much larger parameter space to explore, establish sensitivity in, and must perform much better and be tested much more thoroughly than thresholding to be justified.\n",
    " - We will cover some of these techniques in the next 2 lectures since they can be very powerful particularly with unknown data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Review: Filtering and Image Enhancement\n",
    "\n",
    "\n",
    "- This was a noise process which was added to otherwise clean imaging data\n",
    "- $$ I_{measured}(x,y) = I_{sample}(x,y) + \\text{Noise}(x,y) $$\n",
    "- What would the perfect filter be\n",
    " - $$ \\textit{Filter} \\ast I_{sample}(x,y) = I_{sample}(x,y) $$\n",
    " - $$ \\textit{Filter} \\ast \\text{Noise}(x,y) = 0 $$ \n",
    " - $$ \\textit{Filter} \\ast I_{measured}(x,y) = \\textit{Filter} \\ast I_{real}(x,y) + \\textit{Filter}\\ast \\text{Noise}(x,y) \\rightarrow \\bf I_{sample}(x,y) $$\n",
    "- What most filters end up doing\n",
    "$$ \\textit{Filter} \\ast I_{measured}(x,y) = 90\\%  I_{real}(x,y) + 10\\% \\text{Noise}(x,y) $$\n",
    "- What bad filters do\n",
    "$$ \\textit{Filter} \\ast I_{measured}(x,y) = 10\\% I_{real}(x,y) + 90\\% \\text{Noise}(x,y) $$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Qualitative Metrics: What did people used to do?\n",
    "\n",
    "- What comes out of our detector / enhancement process "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1126c8710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "from skimage.io import imread\n",
    "from skimage.color import rgb2gray\n",
    "import matplotlib.pyplot as plt\n",
    "dkimg = rgb2gray(imread(\"../common/figures/Average_prokaryote_cell.jpg\"))\n",
    "fig, (ax_hist, ax_img) = plt.subplots(1, 2, figsize = (12,6))\n",
    "\n",
    "ax_hist.hist(dkimg.ravel())\n",
    "ax_hist.set_xlabel('Absorption Coefficient')\n",
    "ax_hist.set_ylabel('Pixel Count')\n",
    "\n",
    "m_show_obj = ax_img.matshow(dkimg, cmap = 'bone')\n",
    "cb_obj = plt.colorbar(m_show_obj)\n",
    "cb_obj.set_label('Absorption Coefficient')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "- Identify objects by eye\n",
    " - Count, describe qualitatively: \"many little cilia on surface\", \"long curly flaggelum\", \"elongated nuclear structure\"\n",
    "- Morphometrics\n",
    " - Trace the outline of the object (or sub-structures)\n",
    " - Can calculate the area by using equal-weight-paper \n",
    " - Employing the \"[cut-and-weigh](http://ion.chem.usu.edu/~sbialkow/Classes/361/GC/GC.html)\" method\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Segmentation Approaches\n",
    "\n",
    "\n",
    "They match up well to the world view / perspective \n",
    "\n",
    "![Approaches](../common/figures/approaches.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Model-Based\n",
    "\n",
    "- $\\rightarrow$ Experimentalist \n",
    "- Problem-driven\n",
    " - Top-down\n",
    " - _Reality_ Model-based\n",
    "\n",
    "\n",
    "### Machine Learning Approach \n",
    "\n",
    "- $\\rightarrow$ Computer Vision / Deep Learning\n",
    "- Results-driven"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Model-based Analysis\n",
    "\n",
    "![Traditional Imaging](../common/figures/image-formation.png)\n",
    "\n",
    "- Many different imaging modalities ( $\\mu \\textrm{CT}$ to MRI to Confocal to Light-field to AFM). \n",
    "- Similarities in underlying equations\n",
    " - different coefficients, units, and mechanism\n",
    "\n",
    "$$ I_{measured}(\\vec{x}) = F_{system}(I_{stimulus}(\\vec{x}),S_{sample}(\\vec{x})) $$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Direct Imaging (simple)\n",
    "\n",
    "In many setups there is un-even illumination caused by incorrectly adjusted equipment and fluctations in power and setups\n",
    "\n",
    "- $F_{system}(a,b) = a*b$\n",
    "- $I_{stimulus} = \\textrm{Beam}_{profile}$\n",
    "- $S_{system} = \\alpha(\\vec{x})$\n",
    "\n",
    "$\\longrightarrow \\alpha(\\vec{x})=\\frac{I_{measured}(\\vec{x})}{\\textrm{Beam}_{profile}(\\vec{x})}$\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<matplotlib.figure.Figure at 0x11f11f828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "from skimage.io import imread\n",
    "from skimage.color import rgb2gray\n",
    "import matplotlib.pyplot as plt\n",
    "from skimage.morphology import disk\n",
    "from scipy.ndimage import zoom\n",
    "import numpy as np\n",
    "\n",
    "cell_img = 1-rgb2gray(imread(\"../common/figures/Average_prokaryote_cell.jpg\"))\n",
    "s_beam_img = np.pad(disk(2)/1.0, [[1,1], [1,1]], mode = 'constant', constant_values = 0.2)\n",
    "beam_img = zoom(s_beam_img, \n",
    "                [cell_img.shape[0]/7.0, cell_img.shape[1]/7.0])\n",
    "\n",
    "fig, (ax_beam, ax_img, ax_det) = plt.subplots(1, 3, figsize = (12,4))\n",
    "\n",
    "ax_beam.imshow(beam_img, \n",
    "               cmap = 'hot')\n",
    "ax_beam.set_title('Beam Profile')\n",
    "\n",
    "ax_img.imshow(cell_img, \n",
    "              cmap = 'hot')\n",
    "ax_img.set_title('Sample Profile')\n",
    "\n",
    "ax_det.imshow(cell_img*beam_img, \n",
    "              cmap = 'hot')\n",
    "ax_det.set_title('Detector');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
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s=this.words[o],l=(16777215&(s<<i|a)).toString(16);a=s>>>24-i&16777215,r=0!==a||o!==this.length-1?_[6-l.length]+l+r:l+r,i+=2,i>=26&&(i-=26,o--)}for(0!==a&&(r=a.toString(16)+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}if(t===(0|t)&&t>=2&&t<=36){var u=w[t],c=M[t];r=\"\";var h=this.clone();for(h.negative=0;!h.isZero();){var f=h.modn(c).toString(t);h=h.idivn(c),r=h.isZero()?f+r:_[u-f.length]+f+r}for(this.isZero()&&(r=\"0\"+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}n(!1,\"Base should be between 2 and 36\")},a.prototype.toNumber=function(){var t=this.words[0];return 2===this.length?t+=67108864*this.words[1]:3===this.length&&1===this.words[2]?t+=4503599627370496+67108864*this.words[1]:this.length>2&&n(!1,\"Number can only safely store up to 53 bits\"),0!==this.negative?-t:t},a.prototype.toJSON=function(){return this.toString(16)},a.prototype.toBuffer=function(t,e){return n(void 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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<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<t.length;)this.words[this.length++]=0;for(var e=0;e<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 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this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();var r,n;this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>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=this.cmp(t);if(0===r)return this.negative=0,this.length=1,this.words[0]=0,this;var n,i;r>0?(n=this,i=t):(n=t,i=this);for(var a=0,o=0;o<i.length;o++)e=(0|n.words[o])-(0|i.words[o])+a,a=e>>26,this.words[o]=67108863&e;for(;0!==a&&o<n.length;o++)e=(0|n.words[o])+a,a=e>>26,this.words[o]=67108863&e;if(0===a&&o<n.length&&n!==this)for(;o<n.length;o++)this.words[o]=n.words[o];return this.length=Math.max(this.length,o),n!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var k=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,u=0,c=0|o[0],h=8191&c,f=c>>>13,d=0|o[1],p=8191&d,m=d>>>13,v=0|o[2],g=8191&v,y=v>>>13,b=0|o[3],x=8191&b,_=b>>>13,w=0|o[4],M=8191&w,k=w>>>13,A=0|o[5],T=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,I=0|o[7],z=8191&I,D=I>>>13,P=0|o[8],O=8191&P,R=P>>>13,F=0|o[9],j=8191&F,N=F>>>13,B=0|s[0],U=8191&B,V=B>>>13,H=0|s[1],q=8191&H,G=H>>>13,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ut=st>>>13,ct=0|s[8],ht=8191&ct,ft=ct>>>13,dt=0|s[9],pt=8191&dt,mt=dt>>>13;r.negative=t.negative^e.negative,r.length=19,n=Math.imul(h,U),i=Math.imul(h,V),i=i+Math.imul(f,U)|0,a=Math.imul(f,V);var vt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(p,U),i=Math.imul(p,V),i=i+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(h,q)|0,i=i+Math.imul(h,G)|0,i=i+Math.imul(f,q)|0,a=a+Math.imul(f,G)|0;var gt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(g,U),i=Math.imul(g,V),i=i+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(p,q)|0,i=i+Math.imul(p,G)|0,i=i+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(h,W)|0,i=i+Math.imul(h,X)|0,i=i+Math.imul(f,W)|0,a=a+Math.imul(f,X)|0;var yt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(x,U),i=Math.imul(x,V),i=i+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(g,q)|0,i=i+Math.imul(g,G)|0,i=i+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(p,W)|0,i=i+Math.imul(p,X)|0,i=i+Math.imul(m,W)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(h,J)|0,i=i+Math.imul(h,K)|0,i=i+Math.imul(f,J)|0,a=a+Math.imul(f,K)|0;var bt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=Math.imul(M,V),i=i+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(x,q)|0,i=i+Math.imul(x,G)|0,i=i+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(g,W)|0,i=i+Math.imul(g,X)|0,i=i+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(p,J)|0,i=i+Math.imul(p,K)|0,i=i+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0,n=n+Math.imul(h,$)|0,i=i+Math.imul(h,tt)|0,i=i+Math.imul(f,$)|0,a=a+Math.imul(f,tt)|0;var xt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=Math.imul(T,V),i=i+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(M,q)|0,i=i+Math.imul(M,G)|0,i=i+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(x,W)|0,i=i+Math.imul(x,X)|0,i=i+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(g,J)|0,i=i+Math.imul(g,K)|0,i=i+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(p,$)|0,i=i+Math.imul(p,tt)|0,i=i+Math.imul(m,$)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(h,rt)|0,i=i+Math.imul(h,nt)|0,i=i+Math.imul(f,rt)|0,a=a+Math.imul(f,nt)|0;var _t=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=Math.imul(L,V),i=i+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(T,q)|0,i=i+Math.imul(T,G)|0,i=i+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(M,W)|0,i=i+Math.imul(M,X)|0,i=i+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(x,J)|0,i=i+Math.imul(x,K)|0,i=i+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(g,$)|0,i=i+Math.imul(g,tt)|0,i=i+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(p,rt)|0,i=i+Math.imul(p,nt)|0,i=i+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(h,at)|0,i=i+Math.imul(h,ot)|0,i=i+Math.imul(f,at)|0,a=a+Math.imul(f,ot)|0;var wt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(z,U),i=Math.imul(z,V),i=i+Math.imul(D,U)|0,a=Math.imul(D,V),n=n+Math.imul(L,q)|0,i=i+Math.imul(L,G)|0,i=i+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(T,W)|0,i=i+Math.imul(T,X)|0,i=i+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(M,J)|0,i=i+Math.imul(M,K)|0,i=i+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(x,$)|0,i=i+Math.imul(x,tt)|0,i=i+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(g,rt)|0,i=i+Math.imul(g,nt)|0,i=i+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(p,at)|0,i=i+Math.imul(p,ot)|0,i=i+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(h,lt)|0,i=i+Math.imul(h,ut)|0,i=i+Math.imul(f,lt)|0,a=a+Math.imul(f,ut)|0;var Mt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(O,U),i=Math.imul(O,V),i=i+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(z,q)|0,i=i+Math.imul(z,G)|0,i=i+Math.imul(D,q)|0,a=a+Math.imul(D,G)|0,n=n+Math.imul(L,W)|0,i=i+Math.imul(L,X)|0,i=i+Math.imul(C,W)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(T,J)|0,i=i+Math.imul(T,K)|0,i=i+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(M,$)|0,i=i+Math.imul(M,tt)|0,i=i+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(x,rt)|0,i=i+Math.imul(x,nt)|0,i=i+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(g,at)|0,i=i+Math.imul(g,ot)|0,i=i+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(p,lt)|0,i=i+Math.imul(p,ut)|0,i=i+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(h,ht)|0,i=i+Math.imul(h,ft)|0,i=i+Math.imul(f,ht)|0,a=a+Math.imul(f,ft)|0;var kt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(j,U),i=Math.imul(j,V),i=i+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(O,q)|0,i=i+Math.imul(O,G)|0,i=i+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(z,W)|0,i=i+Math.imul(z,X)|0,i=i+Math.imul(D,W)|0,a=a+Math.imul(D,X)|0,n=n+Math.imul(L,J)|0,i=i+Math.imul(L,K)|0,i=i+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(T,$)|0,i=i+Math.imul(T,tt)|0,i=i+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(M,rt)|0,i=i+Math.imul(M,nt)|0,i=i+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(x,at)|0,i=i+Math.imul(x,ot)|0,i=i+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(g,lt)|0,i=i+Math.imul(g,ut)|0,i=i+Math.imul(y,lt)|0,a=a+Math.imul(y,ut)|0,n=n+Math.imul(p,ht)|0,i=i+Math.imul(p,ft)|0,i=i+Math.imul(m,ht)|0,a=a+Math.imul(m,ft)|0,n=n+Math.imul(h,pt)|0,i=i+Math.imul(h,mt)|0,i=i+Math.imul(f,pt)|0,a=a+Math.imul(f,mt)|0;var At=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(j,q),i=Math.imul(j,G),i=i+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(O,W)|0,i=i+Math.imul(O,X)|0,i=i+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(z,J)|0,i=i+Math.imul(z,K)|0,i=i+Math.imul(D,J)|0,a=a+Math.imul(D,K)|0,n=n+Math.imul(L,$)|0,i=i+Math.imul(L,tt)|0,i=i+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(T,rt)|0,i=i+Math.imul(T,nt)|0,i=i+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(M,at)|0,i=i+Math.imul(M,ot)|0,i=i+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(x,lt)|0,i=i+Math.imul(x,ut)|0,i=i+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(g,ht)|0,i=i+Math.imul(g,ft)|0,i=i+Math.imul(y,ht)|0,a=a+Math.imul(y,ft)|0,n=n+Math.imul(p,pt)|0,i=i+Math.imul(p,mt)|0,i=i+Math.imul(m,pt)|0,a=a+Math.imul(m,mt)|0;var Tt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(j,W),i=Math.imul(j,X),i=i+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(O,J)|0,i=i+Math.imul(O,K)|0,i=i+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(z,$)|0,i=i+Math.imul(z,tt)|0,i=i+Math.imul(D,$)|0,a=a+Math.imul(D,tt)|0,n=n+Math.imul(L,rt)|0,i=i+Math.imul(L,nt)|0,i=i+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(T,at)|0,i=i+Math.imul(T,ot)|0,i=i+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(M,lt)|0,i=i+Math.imul(M,ut)|0,i=i+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(x,ht)|0,i=i+Math.imul(x,ft)|0,i=i+Math.imul(_,ht)|0,a=a+Math.imul(_,ft)|0,n=n+Math.imul(g,pt)|0,i=i+Math.imul(g,mt)|0,i=i+Math.imul(y,pt)|0,a=a+Math.imul(y,mt)|0;var St=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(j,J),i=Math.imul(j,K),i=i+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(O,$)|0,i=i+Math.imul(O,tt)|0,i=i+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(z,rt)|0,i=i+Math.imul(z,nt)|0,i=i+Math.imul(D,rt)|0,a=a+Math.imul(D,nt)|0,n=n+Math.imul(L,at)|0,i=i+Math.imul(L,ot)|0,i=i+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(T,lt)|0,i=i+Math.imul(T,ut)|0,i=i+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(M,ht)|0,i=i+Math.imul(M,ft)|0,i=i+Math.imul(k,ht)|0,a=a+Math.imul(k,ft)|0,n=n+Math.imul(x,pt)|0,i=i+Math.imul(x,mt)|0,i=i+Math.imul(_,pt)|0,a=a+Math.imul(_,mt)|0;var Et=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(j,$),i=Math.imul(j,tt),i=i+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(O,rt)|0,i=i+Math.imul(O,nt)|0,i=i+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(z,at)|0,i=i+Math.imul(z,ot)|0,i=i+Math.imul(D,at)|0,a=a+Math.imul(D,ot)|0,n=n+Math.imul(L,lt)|0,i=i+Math.imul(L,ut)|0,i=i+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(T,ht)|0,i=i+Math.imul(T,ft)|0,i=i+Math.imul(S,ht)|0,a=a+Math.imul(S,ft)|0,n=n+Math.imul(M,pt)|0,i=i+Math.imul(M,mt)|0,i=i+Math.imul(k,pt)|0,a=a+Math.imul(k,mt)|0;var Lt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(j,rt),i=Math.imul(j,nt),i=i+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(O,at)|0,i=i+Math.imul(O,ot)|0,i=i+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(z,lt)|0,i=i+Math.imul(z,ut)|0,i=i+Math.imul(D,lt)|0,a=a+Math.imul(D,ut)|0,n=n+Math.imul(L,ht)|0,\n",
       "i=i+Math.imul(L,ft)|0,i=i+Math.imul(C,ht)|0,a=a+Math.imul(C,ft)|0,n=n+Math.imul(T,pt)|0,i=i+Math.imul(T,mt)|0,i=i+Math.imul(S,pt)|0,a=a+Math.imul(S,mt)|0;var Ct=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(j,at),i=Math.imul(j,ot),i=i+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(O,lt)|0,i=i+Math.imul(O,ut)|0,i=i+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(z,ht)|0,i=i+Math.imul(z,ft)|0,i=i+Math.imul(D,ht)|0,a=a+Math.imul(D,ft)|0,n=n+Math.imul(L,pt)|0,i=i+Math.imul(L,mt)|0,i=i+Math.imul(C,pt)|0,a=a+Math.imul(C,mt)|0;var It=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(j,lt),i=Math.imul(j,ut),i=i+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(O,ht)|0,i=i+Math.imul(O,ft)|0,i=i+Math.imul(R,ht)|0,a=a+Math.imul(R,ft)|0,n=n+Math.imul(z,pt)|0,i=i+Math.imul(z,mt)|0,i=i+Math.imul(D,pt)|0,a=a+Math.imul(D,mt)|0;var zt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,n=Math.imul(j,ht),i=Math.imul(j,ft),i=i+Math.imul(N,ht)|0,a=Math.imul(N,ft),n=n+Math.imul(O,pt)|0,i=i+Math.imul(O,mt)|0,i=i+Math.imul(R,pt)|0,a=a+Math.imul(R,mt)|0;var Dt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,n=Math.imul(j,pt),i=Math.imul(j,mt),i=i+Math.imul(N,pt)|0,a=Math.imul(N,mt);var Pt=(u+n|0)+((8191&i)<<13)|0;return u=(a+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,l[0]=vt,l[1]=gt,l[2]=yt,l[3]=bt,l[4]=xt,l[5]=_t,l[6]=wt,l[7]=Mt,l[8]=kt,l[9]=At,l[10]=Tt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=It,l[16]=zt,l[17]=Dt,l[18]=Pt,0!==u&&(l[19]=u,r.length++),r};Math.imul||(k=u),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?k(this,t,e):r<63?u(this,t,e):r<1024?c(this,t,e):h(this,t,e)},f.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},f.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},f.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},f.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var h=l,f=u,d=0;d<o;d++){var p=r[c+d],m=n[c+d],v=r[c+d+o],g=n[c+d+o],y=h*v-f*g;g=h*g+f*v,v=y,r[c+d]=p+v,n[c+d]=m+g,r[c+d+o]=p-v,n[c+d+o]=m-g,d!==s&&(y=l*h-u*f,f=l*f+u*h,h=y)}},f.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},f.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<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}},f.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},f.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},f.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},f.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),h=new Array(n),f=r.words;f.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,h,n,i);for(var d=0;d<n;d++){var p=s[d]*c[d]-l[d]*h[d];l[d]=s[d]*h[d]+l[d]*c[d],s[d]=p}return this.conjugate(s,l,n),this.transform(s,l,f,a,n,i),this.conjugate(f,a,n),this.normalize13b(f,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),h(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(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=l(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<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){n(\"number\"==typeof t&&t>=0);var i;i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<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>=0&&(0!==c||u>=i);u--){var h=0|this.words[u];this.words[u]=c<<26-a|h>>>a,c=h&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(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(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<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<this.length&&this.words[e]>=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(\"number\"==typeof t),n(t<67108864),t<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&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<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=t.length+r;this._expand(a);var o,s=0;for(i=0;i<t.length;i++){o=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;o-=67108863&l,s=(o>>26)-(l/67108864|0),this.words[i+r]=67108863&o}for(;i<this.length-r;i++)o=(0|this.words[i+r])+s,s=o>>26,this.words[i+r]=67108863&o;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)o=-(0|this.words[i])+s,s=o>>26,this.words[i]=67108863&o;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))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){s=new a(null),s.length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var h=l-1;h>=0;h--){var f=67108864*(0|n.words[i.length+h])+(0|n.words[i.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(i,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(i,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){if(n(!t.isZero()),this.isZero())return{div:new a(0),mod:new a(0)};var i,o,s;return 0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===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)},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!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<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=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()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),h=e.clone();!e.isZero();){for(var f=0,d=1;0==(e.words[0]&d)&&f<26;++f,d<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(h)),i.iushrn(1),o.iushrn(1);for(var p=0,m=1;0==(r.words[0]&m)&&p<26;++p,m<<=1);if(p>0)for(r.iushrn(p);p-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=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=new a(1),o=new a(0),s=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var l=0,u=1;0==(e.words[0]&u)&&l<26;++l,u<<=1);if(l>0)for(e.iushrn(l);l-- >0;)i.isOdd()&&i.iadd(s),i.iushrn(1);for(var c=0,h=1;0==(r.words[0]&h)&&c<26;++c,h<<=1);if(c>0)for(r.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(s),o.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(o)):(r.isub(e),o.isub(i))}var f;return f=0===e.cmpn(1)?i:o,f.cmpn(0)<0&&f.iadd(t),f},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()&&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<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&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];s+=a,a=s>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e=t<0;if(0!==this.negative&&!e)return-1;if(0===this.negative&&e)return 1;this.strip();var r;if(this.length>1)r=1;else{e&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];r=i===t?0:i<t?-1:1}return 0!==this.negative?0|-r:r},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&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>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(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)>=0},a.prototype.gte=function(t){return this.cmp(t)>=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)<=0},a.prototype.lte=function(t){return this.cmp(t)<=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 y(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var A={k256:null,p224:null,p192:null,p25519:null};d.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},d.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),r=this.imulK(r),r=r.iadd(this.tmp),e=r.bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):r.strip(),r},d.prototype.split=function(t,e){t.iushrn(this.n,0,e)},d.prototype.imulK=function(t){return t.imul(this.k)},i(p,d),p.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&i,n=10;n<t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&a)<<4|i>>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},p.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<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(m,d),i(v,d),i(g,d),g.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(A[t])return A[t];var e;if(\"k256\"===t)e=new p;else if(\"p224\"===t)e=new m;else if(\"p192\"===t)e=new v;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new g}return A[t]=e,e},y.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},y.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},y.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},y.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},y.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},y.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return 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c=t(\"./convert\"),h=t(\"./transform\"),f=t(\"./clip\"),d=t(\"./wrap\"),p=t(\"./tile\");i.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,solidChildren:!1,tolerance:3,extent:4096,buffer:64,debug:0},i.prototype.splitTile=function(t,e,r,n,i,l,c){for(var h=[t,e,r,n],d=this.options,m=d.debug,v=null;h.length;){n=h.pop(),r=h.pop(),e=h.pop(),t=h.pop();var g=1<<e,y=a(e,r,n),b=this.tiles[y],x=e===d.maxZoom?0:d.tolerance/(g*d.extent);if(!b&&(m>1&&console.time(\"creation\"),b=this.tiles[y]=p(t,g,r,n,x,e===d.maxZoom),this.tileCoords.push({z:e,x:r,y:n}),m)){m>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,b.numFeatures,b.numPoints,b.numSimplified),console.timeEnd(\"creation\"));var _=\"z\"+e;this.stats[_]=(this.stats[_]||0)+1,this.total++}if(b.source=t,i){if(e===d.maxZoom||e===i)continue;var w=1<<i-e;if(r!==Math.floor(l/w)||n!==Math.floor(c/w))continue}else if(e===d.indexMaxZoom||b.numPoints<=d.indexMaxPoints)continue;if(d.solidChildren||!u(b,d.extent,d.buffer)){b.source=null,m>1&&console.time(\"clipping\");var M,k,A,T,S,E,L=.5*d.buffer/d.extent,C=.5-L,I=.5+L,z=1+L;M=k=A=T=null,S=f(t,g,r-L,r+I,0,o,b.min[0],b.max[0]),E=f(t,g,r+C,r+z,0,o,b.min[0],b.max[0]),S&&(M=f(S,g,n-L,n+I,1,s,b.min[1],b.max[1]),k=f(S,g,n+C,n+z,1,s,b.min[1],b.max[1])),E&&(A=f(E,g,n-L,n+I,1,s,b.min[1],b.max[1]),T=f(E,g,n+C,n+z,1,s,b.min[1],b.max[1])),m>1&&console.timeEnd(\"clipping\"),t.length&&(h.push(M||[],e+1,2*r,2*n),h.push(k||[],e+1,2*r,2*n+1),h.push(A||[],e+1,2*r+1,2*n),h.push(T||[],e+1,2*r+1,2*n+1))}else i&&(v=e)}return v},i.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,o=n.debug,s=1<<t;e=(e%s+s)%s;var l=a(t,e,r);if(this.tiles[l])return h.tile(this.tiles[l],i);o>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var c,f=t,d=e,p=r;!c&&f>0;)f--,d=Math.floor(d/2),p=Math.floor(p/2),c=this.tiles[a(f,d,p)];if(!c||!c.source)return null;if(o>1&&console.log(\"found parent tile z%d-%d-%d\",f,d,p),u(c,i,n.buffer))return h.tile(c,i);o>1&&console.time(\"drilling down\");var m=this.splitTile(c.source,f,d,p,t,e,r);if(o>1&&console.timeEnd(\"drilling down\"),null!==m){var v=1<<t-m;l=a(m,Math.floor(e/v),Math.floor(r/v))}return this.tiles[l]?h.tile(this.tiles[l],i):null}},{\"./clip\":139,\"./convert\":140,\"./tile\":144,\"./transform\":145,\"./wrap\":146}],143:[function(t,e,r){\"use strict\";function n(t,e){var r,n,a,o,s=e*e,l=t.length,u=0,c=l-1,h=[];for(t[u][2]=1,t[c][2]=1;c;){for(n=0,r=u+1;r<c;r++)(a=i(t[r],t[u],t[c]))>n&&(o=r,n=a);n>s?(t[o][2]=n,h.push(u),h.push(o),u=o):(c=h.pop(),u=h.pop())}}function i(t,e,r){var n=e[0],i=e[1],a=r[0],o=r[1],s=t[0],l=t[1],u=a-n,c=o-i;if(0!==u||0!==c){var h=((s-n)*u+(l-i)*c)/(u*u+c*c);h>1?(n=a,i=o):h>0&&(n+=u*h,i+=c*h)}return u=s-n,c=l-i,u*u+c*c}e.exports=n},{}],144:[function(t,e,r){\"use strict\";function n(t,e,r,n,a,o){for(var s={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z2:e,transformed:!1,min:[2,1],max:[-1,0]},l=0;l<t.length;l++){s.numFeatures++,i(s,t[l],a,o);var u=t[l].min,c=t[l].max;u[0]<s.min[0]&&(s.min[0]=u[0]),u[1]<s.min[1]&&(s.min[1]=u[1]),c[0]>s.max[0]&&(s.max[0]=c[0]),c[1]>s.max[1]&&(s.max[1]=c[1])}return s}function i(t,e,r,n){var i,o,s,l,u=e.geometry,c=e.type,h=[],f=r*r;if(1===c)for(i=0;i<u.length;i++)h.push(u[i]),t.numPoints++,t.numSimplified++;else for(i=0;i<u.length;i++)if(s=u[i],n||!(2===c&&s.dist<r||3===c&&s.area<f)){var d=[];for(o=0;o<s.length;o++)l=s[o],(n||l[2]>f)&&(d.push(l),t.numSimplified++),t.numPoints++;3===c&&a(d,s.outer),h.push(d)}else t.numPoints+=s.length;if(h.length){var p={geometry:h,type:c,tags:e.tags||null};null!==e.id&&(p.id=e.id),t.features.push(p)}}function a(t,e){o(t)<0===e&&t.reverse()}function o(t){for(var e,r,n=0,i=0,a=t.length,o=a-1;i<a;o=i++)e=t[i],r=t[o],n+=(r[0]-e[0])*(e[1]+r[1]);return n}e.exports=n},{}],145:[function(t,e,r){\"use 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o=t(\"./clip\"),s=t(\"./feature\");e.exports=n},{\"./clip\":139,\"./feature\":141}],147:[function(t,e,r){function n(t,e){if(\"string\"!=typeof t)throw new TypeError(\"must specify type string\");if(e=e||{},\"undefined\"==typeof document&&!e.canvas)return null;var r=e.canvas||document.createElement(\"canvas\");\"number\"==typeof e.width&&(r.width=e.width),\"number\"==typeof e.height&&(r.height=e.height);var n,i=e;try{var a=[t];0===t.indexOf(\"webgl\")&&a.push(\"experimental-\"+t);for(var o=0;o<a.length;o++)if(n=r.getContext(a[o],i))return n}catch(t){n=null}return n||null}e.exports=n},{}],148:[function(t,e,r){\"use strict\";function n(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function 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a(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}function o(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<3;++c)if(e!==c){var h=a,f=s,d=o,p=l\n",
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p=0;p<3;++p)h[d][p]!==this.bounds[d][p]&&(c=!0),this.bounds[d][p]=h[d][p];if(\"ticks\"in t){r=t.ticks,s=!0,this.autoTicks=!1;for(var d=0;d<3;++d)this.tickSpacing[d]=0}else n(\"tickSpacing\")&&(this.autoTicks=!0,c=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),c=!0,s=!0,this._firstInit=!1),c&&this.autoTicks&&(r=f.create(this.bounds,this.tickSpacing),s=!0),s){for(var d=0;d<3;++d)r[d].sort(function(t,e){return t.x-e.x});f.equal(r,this.ticks)?s=!1:this.ticks=r}i(\"tickEnable\"),a(\"tickFont\")&&(s=!0),n(\"tickSize\"),n(\"tickAngle\"),n(\"tickPad\"),o(\"tickColor\");var m=a(\"labels\");a(\"labelFont\")&&(m=!0),i(\"labelEnable\"),n(\"labelSize\"),n(\"labelPad\"),o(\"labelColor\"),i(\"lineEnable\"),i(\"lineMirror\"),n(\"lineWidth\"),o(\"lineColor\"),i(\"lineTickEnable\"),i(\"lineTickMirror\"),n(\"lineTickLength\"),n(\"lineTickWidth\"),o(\"lineTickColor\"),i(\"gridEnable\"),n(\"gridWidth\"),o(\"gridColor\"),i(\"zeroEnable\"),o(\"zeroLineColor\"),n(\"zeroLineWidth\"),i(\"backgroundEnable\"),o(\"backgroundColor\"),this._text?this._text&&(m||s)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=l(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&s&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=u(this.gl,this.bounds,this.ticks))};var m=[new a,new a,new a],v=[0,0,0],g={model:d,view:d,projection:d};p.isOpaque=function(){return!0},p.isTransparent=function(){return!1},p.drawTransparent=function(t){};var y=[0,0,0],b=[0,0,0],x=[0,0,0];p.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||d,i=t.view||d,a=t.projection||d,s=this.bounds,l=h(r,i,a,s),u=l.cubeEdges,c=l.axis,f=i[12],p=i[13],_=i[14],w=i[15],M=this.pixelRatio*(a[3]*f+a[7]*p+a[11]*_+a[15]*w)/e.drawingBufferHeight,k=0;k<3;++k)this.lastCubeProps.cubeEdges[k]=u[k],this.lastCubeProps.axis[k]=c[k];for(var A=m,k=0;k<3;++k)o(m[k],k,this.bounds,u,c);for(var e=this.gl,T=v,k=0;k<3;++k)this.backgroundEnable[k]?T[k]=c[k]:T[k]=0;this._background.draw(r,i,a,s,T,this.backgroundColor),this._lines.bind(r,i,a,this);for(var k=0;k<3;++k){var S=[0,0,0];c[k]>0?S[k]=s[1][k]:S[k]=s[0][k];for(var E=0;E<2;++E){var L=(k+1+E)%3,C=(k+1+(1^E))%3;this.gridEnable[L]&&this._lines.drawGrid(L,C,this.bounds,S,this.gridColor[L],this.gridWidth[L]*this.pixelRatio)}for(var E=0;E<2;++E){var L=(k+1+E)%3,C=(k+1+(1^E))%3;this.zeroEnable[C]&&s[0][C]<=0&&s[1][C]>=0&&this._lines.drawZero(L,C,this.bounds,S,this.zeroLineColor[C],this.zeroLineWidth[C]*this.pixelRatio)}}for(var k=0;k<3;++k){this.lineEnable[k]&&this._lines.drawAxisLine(k,this.bounds,A[k].primalOffset,this.lineColor[k],this.lineWidth[k]*this.pixelRatio),this.lineMirror[k]&&this._lines.drawAxisLine(k,this.bounds,A[k].mirrorOffset,this.lineColor[k],this.lineWidth[k]*this.pixelRatio);for(var I=n(y,A[k].primalMinor),z=n(b,A[k].mirrorMinor),D=this.lineTickLength,E=0;E<3;++E){var P=M/r[5*E];I[E]*=D[E]*P,z[E]*=D[E]*P}this.lineTickEnable[k]&&this._lines.drawAxisTicks(k,A[k].primalOffset,I,this.lineTickColor[k],this.lineTickWidth[k]*this.pixelRatio),this.lineTickMirror[k]&&this._lines.drawAxisTicks(k,A[k].mirrorOffset,z,this.lineTickColor[k],this.lineTickWidth[k]*this.pixelRatio)}this._text.bind(r,i,a,this.pixelRatio);for(var k=0;k<3;++k){for(var O=A[k].primalMinor,R=n(x,A[k].primalOffset),E=0;E<3;++E)this.lineTickEnable[k]&&(R[E]+=M*O[E]*Math.max(this.lineTickLength[E],0)/r[5*E]);if(this.tickEnable[k]){for(var E=0;E<3;++E)R[E]+=M*O[E]*this.tickPad[E]/r[5*E];this._text.drawTicks(k,this.tickSize[k],this.tickAngle[k],R,this.tickColor[k])}if(this.labelEnable[k]){for(var E=0;E<3;++E)R[E]+=M*O[E]*this.labelPad[E]/r[5*E];R[k]+=.5*(s[0][k]+s[1][k]),this._text.drawLabel(k,this.labelSize[k],this.labelAngle[k],R,this.labelColor[k])}}},p.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":149,\"./lib/cube.js\":150,\"./lib/lines.js\":151,\"./lib/text.js\":153,\"./lib/ticks.js\":154}],149:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}function i(t){for(var e=[],r=[],i=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,h=[0,0,0],f=[0,0,0],d=-1;d<=1;d+=2){r.push(i,i+2,i+1,i+1,i+2,i+3),h[l]=d,f[l]=d;for(var p=-1;p<=1;p+=2){h[u]=p;for(var m=-1;m<=1;m+=2)h[c]=m,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),i+=1}var v=u;u=c,c=v}var g=a(t,new 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s=t(\"gl-buffer\"),l=t(\"gl-vao\"),u=t(\"./shaders\").line,c=[0,0,0],h=[0,0,0],f=[0,0,0],d=[0,0,0],p=[1,1],m=a.prototype;m.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,p[0]=this.gl.drawingBufferWidth,p[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=p,this.vao.bind()},m.drawAxisLine=function(t,e,r,a,o){var s=n(h);this.shader.uniforms.majorAxis=h,s[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=s;var l=i(d,r);l[t]+=e[0][t],this.shader.uniforms.offset=l,this.shader.uniforms.lineWidth=o,this.shader.uniforms.color=a;var u=n(f);u[(t+2)%3]=1,this.shader.uniforms.screenAxis=u,this.vao.draw(this.gl.TRIANGLES,6);var u=n(f);u[(t+1)%3]=1,this.shader.uniforms.screenAxis=u,this.vao.draw(this.gl.TRIANGLES,6)},m.drawAxisTicks=function(t,e,r,i,a){if(this.tickCount[t]){var o=n(c);o[t]=1,this.shader.uniforms.majorAxis=o,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=i,this.shader.uniforms.lineWidth=a;var s=n(f);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},m.drawGrid=function(t,e,r,a,o,s){if(this.gridCount[t]){var l=n(h);l[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=l;var u=i(d,a);u[e]+=r[0][e],this.shader.uniforms.offset=u;var p=n(c);p[t]=1,this.shader.uniforms.majorAxis=p;var m=n(f);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=s,this.shader.uniforms.color=o,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},m.drawZero=function(t,e,r,a,o,s){var l=n(h);this.shader.uniforms.majorAxis=l,l[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=l;var u=i(d,a);u[t]+=r[0][t],this.shader.uniforms.offset=u;var 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- pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\",\"precision mediump float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\",null,[{name:\"position\",type:\"vec3\"}])};r.text=function(t){return n(t,\"#define GLSLIFY 1\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvoid main() {  \\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n  mat2 planeXform = scale * mat2(cos(angle), sin(angle),\\n                                -sin(angle), cos(angle));\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n  vec4 worldPosition = model * vec4(dataPosition, 1);\\n  \\n  //Compute clip 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n=t(\"./1.0/numbers\");e.exports=function(t){return n[t]}},{\"./1.0/numbers\":157}],159:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.plot=t,this.shader=e,this.bufferHi=r,this.bufferLo=n,this.bounds=[1/0,1/0,-1/0,-1/0],this.numPoints=0,this.color=[0,0,0,1]}function i(t,e){var r=a(t.gl,l.vertex,l.fragment),i=o(t.gl),s=o(t.gl),u=new n(t,r,i,s);return u.update(e),t.addObject(u),u}var a=t(\"gl-shader\"),o=t(\"gl-buffer\"),s=t(\"typedarray-pool\"),l=t(\"./lib/shaders\");e.exports=i;var 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n(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}function i(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}function a(t,e,r,n){for(var i=f[n],a=0;a<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}function o(t){var e=t.gl,r=s(e),i=l(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}]),a=u(e);a.attributes.position.location=0,a.attributes.color.location=1,a.attributes.offset.location=2;var o=new n(e,r,i,a);return o.update(t),o}e.exports=o;var s=t(\"gl-buffer\"),l=t(\"gl-vao\"),u=t(\"./shaders/index\"),c=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],h=n.prototype;h.isOpaque=function(){return this.opacity>=1},h.isTransparent=function(){return this.opacity<1},h.drawTransparent=h.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||c,i=r.projection=t.projection||c;r.model=t.model||c,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],o=n[13],s=n[14],l=n[15],u=this.pixelRatio*(i[3]*a+i[7]*o+i[11]*s+i[15]*l)/e.drawingBufferHeight;this.vao.bind();for(var h=0;h<3;++h)e.lineWidth(this.lineWidth[h]),r.capSize=this.capSize[h]*u,this.lineCount[h]&&e.drawArrays(e.LINES,this.lineOffset[h],this.lineCount[h]);this.vao.unbind()};var f=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=(n+e)%3,o=[0,0,0];o[a]=i,r.push(o)}t[e]=r}return t}();h.update=function(t){t=t||{},\"lineWidth\"in t&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),\"capSize\"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),\"opacity\"in t&&(this.opacity=t.opacity);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&&n){var o=[],s=r.length,l=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var u=0;u<3;++u){this.lineOffset[u]=l;t:for(var c=0;c<s;++c){for(var h=r[c],f=0;f<3;++f)if(isNaN(h[f])||!isFinite(h[f]))continue t;var d=n[c],p=e[u];if(Array.isArray(p[0])&&(p=e[c]),3===p.length&&(p=[p[0],p[1],p[2],1]),!isNaN(d[0][u])&&!isNaN(d[1][u])){if(d[0][u]<0){var m=h.slice();m[u]+=d[0][u],o.push(h[0],h[1],h[2],p[0],p[1],p[2],p[3],0,0,0,m[0],m[1],m[2],p[0],p[1],p[2],p[3],0,0,0),i(this.bounds,m),l+=2+a(o,m,p,u)}if(d[1][u]>0){var m=h.slice();m[u]+=d[1][u],o.push(h[0],h[1],h[2],p[0],p[1],p[2],p[3],0,0,0,m[0],m[1],m[2],p[0],p[1],p[2],p[3],0,0,0),i(this.bounds,m),l+=2+a(o,m,p,u)}}}this.lineCount[u]=l-this.lineOffset[u]}this.buffer.update(o)}},h.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{\"./shaders/index\":163,\"gl-buffer\":156,\"gl-vao\":271}],162:[function(t,e,r){e.exports=function(t){\"string\"==typeof t&&(t=[t]);for(var e=[].slice.call(arguments,1),r=[],n=0;n<t.length-1;n++)r.push(t[n],e[n]||\"\");return r.push(t[n]),r.join(\"\")}},{}],163:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision mediump 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}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if(any(lessThan(fragPosition, clipBounds[0])) || any(greaterThan(fragPosition, clipBounds[1]))) {\\n    discard;\\n  }\\n  gl_FragColor = opacity * fragColor;\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},{\"gl-shader\":255,glslify:162}],164:[function(t,e,r){\"use strict\";function n(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function i(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function a(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);y=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(var a=n;a<r;++a)i[a]=t.NONE;y[n]=i}}function o(t){switch(t){case p:throw new Error(\"gl-fbo: Framebuffer unsupported\");case m:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case v:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case g:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function s(t,e,r,n,i,a){if(!n)return null;var o=d(t,e,r,i,n);return o.magFilter=t.NEAREST,o.minFilter=t.NEAREST,o.mipSamples=1,o.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,a,t.TEXTURE_2D,o.handle,0),o}function l(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 u(t){var e=n(t.gl),r=t.gl,a=t.handle=r.createFramebuffer(),u=t._shape[0],c=t._shape[1],h=t.color.length,f=t._ext,d=t._useStencil,p=t._useDepth,m=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,a);for(var v=0;v<h;++v)t.color[v]=s(r,u,c,m,r.RGBA,r.COLOR_ATTACHMENT0+v);0===h?(t._color_rb=l(r,u,c,r.RGBA4,r.COLOR_ATTACHMENT0),f&&f.drawBuffersWEBGL(y[0])):h>1&&f.drawBuffersWEBGL(y[h]);var g=r.getExtension(\"WEBGL_depth_texture\");g?d?t.depth=s(r,u,c,g.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):p&&(t.depth=s(r,u,c,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):p&&d?t._depth_rb=l(r,u,c,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):p?t._depth_rb=l(r,u,c,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=l(r,u,c,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var b=r.checkFramebufferStatus(r.FRAMEBUFFER);if(b!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(var v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),i(r,e),o(b)}i(r,e)}function c(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 l=0;l<i;++l)this.color[l]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var c=this,h=[0|e,0|r];Object.defineProperties(h,{0:{get:function(){return c._shape[0]},set:function(t){return c.width=t}},1:{get:function(){return c._shape[1]},set:function(t){return c.height=t}}}),this._shapeVector=h,u(this)}function h(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var a=t.gl,s=a.getParameter(a.MAX_RENDERBUFFER_SIZE);if(e<0||e>s||r<0||r>s)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var l=n(a),u=0;u<t.color.length;++u)t.color[u].shape=t._shape;t._color_rb&&(a.bindRenderbuffer(a.RENDERBUFFER,t._color_rb),a.renderbufferStorage(a.RENDERBUFFER,a.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(a.bindRenderbuffer(a.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?a.renderbufferStorage(a.RENDERBUFFER,a.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?a.renderbufferStorage(a.RENDERBUFFER,a.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&a.renderbufferStorage(a.RENDERBUFFER,a.STENCIL_INDEX,t._shape[0],t._shape[1])),a.bindFramebuffer(a.FRAMEBUFFER,t.handle);var c=a.checkFramebufferStatus(a.FRAMEBUFFER);c!==a.FRAMEBUFFER_COMPLETE&&(t.dispose(),i(a,l),o(c)),i(a,l)}}function f(t,e,r,n){p||(p=t.FRAMEBUFFER_UNSUPPORTED,m=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,v=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,g=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var i=t.getExtension(\"WEBGL_draw_buffers\");if(!y&&i&&a(t,i),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var o=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>o||r<0||r>o)throw new Error(\"gl-fbo: Parameters are too large for FBO\");n=n||{};var s=1;if(\"color\"in n){if((s=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(s>1){if(!i)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(s>t.getParameter(i.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+s+\" draw buffers\")}}var l=t.UNSIGNED_BYTE,u=t.getExtension(\"OES_texture_float\");if(n.float&&s>0){if(!u)throw new Error(\"gl-fbo: Context does not support floating point textures\");l=t.FLOAT}else n.preferFloat&&s>0&&u&&(l=t.FLOAT);var h=!0;\"depth\"in n&&(h=!!n.depth);var f=!1;return\"stencil\"in n&&(f=!!n.stencil),new c(t,e,r,l,s,h,f,i)}var d=t(\"gl-texture2d\");e.exports=f;var p,m,v,g,y=null,b=c.prototype;Object.defineProperties(b,{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(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return h(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return t|=0,h(this,t,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,h(this,this._shape[0],t),t},enumerable:!1}}),b.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])}},b.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":267}],165:[function(t,e,r){function n(t,e,r){\"use strict\";var n=o(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===a.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var u=i(\"Error compiling %s shader %s:\\n\",l,n),c=i(\"%s%s\",u,t),h=t.split(\"\\n\"),f={},d=0;d<h.length;d++){var p=h[d];if(\"\"!==p){var m=parseInt(p.split(\":\")[2]);if(isNaN(m))throw new Error(i(\"Could not parse error: %s\",p));f[m]=p}}for(var v=s(e).split(\"\\n\"),d=0;d<v.length;d++)if(f[d+3]||f[d+2]||f[d+1]){var g=v[d];if(u+=g+\"\\n\",f[d+1]){var y=f[d+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),u+=i(\"^^^ %s\\n\\n\",y)}}return{long:u.trim(),short:c.trim()}}var i=t(\"sprintf-js\").sprintf,a=t(\"gl-constants/lookup\"),o=t(\"glsl-shader-name\"),s=t(\"add-line-numbers\");e.exports=n},{\"add-line-numbers\":40,\"gl-constants/lookup\":158,\"glsl-shader-name\":279,\"sprintf-js\":527}],166:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}function i(t,e){var r=t.gl,i=l(r,c.vertex,c.fragment),a=l(r,c.pickVertex,c.pickFragment),o=u(r),s=u(r),h=u(r),f=u(r),d=new n(t,i,a,o,s,h,f);return d.update(e),t.addObject(d),d}e.exports=i;var a=t(\"binary-search-bounds\"),o=t(\"iota-array\"),s=t(\"typedarray-pool\"),l=t(\"gl-shader\"),u=t(\"gl-buffer\"),c=t(\"./lib/shaders\"),h=n.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=function(){var t=[1,0,0,0,1,0,0,0,1];return function(){var e=this.plot,r=this.shader,n=this.bounds,i=this.numVertices;if(!(i<=0)){var a=e.gl,o=e.dataBox,s=n[2]-n[0],l=n[3]-n[1],u=o[2]-o[0],c=o[3]-o[1];t[0]=2*s/u,t[4]=2*l/c,t[6]=2*(n[0]-o[0])/u-1,t[7]=2*(n[1]-o[1])/c-1,r.bind();var h=r.uniforms;h.viewTransform=t,h.shape=this.shape;var f=r.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(a.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(a.UNSIGNED_BYTE,!0),a.drawArrays(a.TRIANGLES,0,i)}}}(),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*u/h,t[4]=2*c/f,t[6]=2*(a[0]-l[0])/h-1,t[7]=2*(a[1]-l[1])/f-1;for(var d=0;d<4;++d)e[d]=r>>8*d&255;this.pickOffset=r,i.bind();var p=i.uniforms;p.viewTransform=t,p.pickOffset=e,p.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},h.update=function(t){t=t||{};var e=t.shape||[0,0],r=t.x||o(e[0]),n=t.y||o(e[1]),i=t.z||new Float32Array(e[0]*e[1]);this.xData=r,this.yData=n;var l=t.colorLevels||[0],u=t.colorValues||[0,0,0,1],c=l.length,h=this.bounds,d=h[0]=r[0],p=h[1]=n[0],m=h[2]=r[r.length-1],v=h[3]=n[n.length-1],g=1/(m-d),y=1/(v-p),b=e[0],x=e[1];this.shape=[b,x];var _=(b-1)*(x-1)*(f.length>>>1);this.numVertices=_;for(var w=s.mallocUint8(4*_),M=s.mallocFloat32(2*_),k=s.mallocUint8(2*_),A=s.mallocUint32(_),T=0,S=0;S<x-1;++S)for(var E=y*(n[S]-p),L=y*(n[S+1]-p),C=0;C<b-1;++C)for(var I=g*(r[C]-d),z=g*(r[C+1]-d),D=0;D<f.length;D+=2){var P,O,R,F,j=f[D],N=f[D+1],B=(S+N)*b+(C+j),U=i[B],V=a.le(l,U);if(V<0)P=u[0],O=u[1],R=u[2],F=u[3];else if(V===c-1)P=u[4*c-4],O=u[4*c-3],R=u[4*c-2],F=u[4*c-1];else{var H=(U-l[V])/(l[V+1]-l[V]),q=1-H,G=4*V,Y=4*(V+1);P=q*u[G]+H*u[Y],O=q*u[G+1]+H*u[Y+1],R=q*u[G+2]+H*u[Y+2],F=q*u[G+3]+H*u[Y+3]}w[4*T]=255*P,w[4*T+1]=255*O,w[4*T+2]=255*R,w[4*T+3]=255*F,M[2*T]=.5*I+.5*z,M[2*T+1]=.5*E+.5*L,k[2*T]=j,k[2*T+1]=N,A[T]=S*b+C,T+=1}this.positionBuffer.update(M),this.weightBuffer.update(k),this.colorBuffer.update(w),this.idBuffer.update(A),s.free(M),s.free(w),s.free(k),s.free(A)},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":167,\"binary-search-bounds\":168,\"gl-buffer\":156,\"gl-shader\":255,\"iota-array\":293,\"typedarray-pool\":541}],167:[function(t,e,r){\"use strict\";e.exports={fragment:\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\",vertex:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\",pickFragment:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\",pickVertex:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"}},{}],168:[function(t,e,r){arguments[4][84][0].apply(r,arguments)},{dup:84}],169:[function(t,e,r){r.lineVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo, dHi, dLo;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo, screenShape;\\nuniform float width;\\n\\nvarying vec2 direction;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvec2 project_2_1(vec2 scHi, vec2 scLo, vec2 posHi, vec2 posLo) {\\n  return scHi * posHi\\n       + scLo * posHi\\n       + scHi * posLo\\n       + scLo * posLo;\\n}\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  vec2 dir = project_2_1(scaleHi, scaleLo, dHi, dLo);\\n  vec2 n = 0.5 * width * normalize(screenShape.yx * vec2(dir.y, -dir.x)) / screenShape.xy;\\n  vec2 tangent = normalize(screenShape.xy * dir);\\n  if(dir.x < 0.0 || (dir.x == 0.0 && dir.y < 0.0)) {\\n    direction = -tangent;\\n  } else {\\n    direction = tangent;\\n  }\\n  gl_Position = vec4(p + n, 0.0, 1.0);\\n}\",r.lineFragment=\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nuniform vec2 screenShape;\\nuniform sampler2D dashPattern;\\nuniform float dashLength;\\n\\nvarying vec2 direction;\\n\\nvoid main() {\\n  float t = fract(dot(direction, gl_FragCoord.xy) / dashLength);\\n  vec4 pcolor = color * texture2D(dashPattern, vec2(t, 0.0)).r;\\n  gl_FragColor = vec4(pcolor.rgb * pcolor.a, pcolor.a);\\n}\",r.mitreVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo;\\nuniform float radius;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  gl_Position = vec4(p, 0.0, 1.0);\\n  gl_PointSize = radius;\\n}\",r.mitreFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  if(length(gl_PointCoord.xy - 0.5) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = vec4(color.rgb, color.a);\\n}\",r.pickVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo, dHi;\\nattribute vec4 pick0, pick1;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo, screenShape;\\nuniform float width;\\n\\nvarying vec4 pickA, pickB;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  vec2 n = width * normalize(screenShape.yx * vec2(dHi.y, -dHi.x)) / screenShape.xy;\\n  gl_Position = vec4(p + n, 0, 1);\\n  pickA = pick0;\\n  pickB = pick1;\\n}\",r.pickFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 pickOffset;\\n\\nvarying vec4 pickA, pickB;\\n\\nvoid main() {\\n  vec4 fragId = vec4(pickA.xyz, 0.0);\\n  if(pickB.w > pickA.w) {\\n    fragId.xyz = pickB.xyz;\\n  }\\n\\n  fragId += pickOffset;\\n\\n  fragId.y += floor(fragId.x / 256.0);\\n  fragId.x -= floor(fragId.x / 256.0) * 256.0;\\n\\n  fragId.z += floor(fragId.y / 256.0);\\n  fragId.y -= floor(fragId.y / 256.0) * 256.0;\\n\\n  fragId.w += floor(fragId.z / 256.0);\\n  fragId.z -= floor(fragId.z / 256.0) * 256.0;\\n\\n  gl_FragColor = fragId / 255.0;\\n}\",r.fillVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo, dHi;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo, projectAxis;\\nuniform float projectValue, depth;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  if(dHi.y < 0.0 || (dHi.y == 0.0 && dHi.x < 0.0)) {\\n    if(dot(p, projectAxis) < projectValue) {\\n      p = p * (1.0 - abs(projectAxis)) + projectAxis * projectValue;\\n    }\\n  }\\n  gl_Position = vec4(p, depth, 1);\\n}\",r.fillFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = vec4(color.rgb * color.a, color.a);\\n}\"},{}],170:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l){this.plot=t,this.dashPattern=e,this.lineBufferHi=r,this.lineBufferLo=n,this.pickBuffer=i,this.lineShader=a,this.mitreShader=o,this.fillShader=s,this.pickShader=l,this.usingDashes=!1,this.bounds=[1/0,1/0,-1/0,-1/0],this.width=1,this.color=[0,0,1,1],this.fill=[!1,!1,!1,!1],this.fillColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.data=null,this.numPoints=0,this.vertCount=0,this.pickOffset=0}function i(t){return t.map(function(t){return t.slice()})}function a(t,e){var r=t.gl,i=s(r),a=s(r),u=s(r),c=l(r,[1,1]),f=o(r,h.lineVertex,h.lineFragment),d=o(r,h.mitreVertex,h.mitreFragment),p=o(r,h.fillVertex,h.fillFragment),m=o(r,h.pickVertex,h.pickFragment),v=new n(t,c,i,a,u,f,d,p,m);return t.addObject(v),v.update(e),v}e.exports=a;var o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"gl-texture2d\"),u=t(\"ndarray\"),c=t(\"typedarray-pool\"),h=t(\"./lib/shaders\"),f=n.prototype;f.setProjectionModel=function(){var t={scaleHi:new Float32Array([0,0]),scaleLo:new Float32Array([0,0]),translateHi:new Float32Array([0,0]),translateLo:new Float32Array([0,0]),screenShape:[0,0]};return function(){var e=this.bounds,r=this.plot.viewBox,n=this.plot.dataBox,i=e[2]-e[0],a=e[3]-e[1],o=n[2]-n[0],s=n[3]-n[1],l=r[2]-r[0],u=r[3]-r[1],c=2*i/o,h=2*a/s,f=(e[0]-n[0]-.5*o)/i,d=(e[1]-n[1]-.5*s)/a;return t.scaleHi[0]=c,t.scaleHi[1]=h,t.scaleLo[0]=c-t.scaleHi[0],t.scaleLo[1]=h-t.scaleHi[1],t.translateHi[0]=f,t.translateHi[1]=d,t.translateLo[0]=f-t.translateHi[0],t.translateLo[1]=d-t.translateHi[1],t.screenShape[0]=l,t.screenShape[1]=u,t}}(),f.setProjectionUniforms=function(t,e){t.scaleHi=e.scaleHi,t.scaleLo=e.scaleLo,t.translateHi=e.translateHi,t.translateLo=e.translateLo,t.screenShape=e.screenShape},f.draw=function(){var t=[1,0],e=[-1,0],r=[0,1],n=[0,-1];return function(){var i=this.vertCount;if(i){var a=this.setProjectionModel(),o=this.plot,s=this.width,l=o.gl,u=o.pixelRatio,c=this.color,h=this.fillShader.attributes;this.lineBufferLo.bind(),h.aLo.pointer(l.FLOAT,!1,16,0),this.lineBufferHi.bind();var f=this.fill;if(f[0]||f[1]||f[2]||f[3]){var d=this.fillShader;d.bind();var p=d.uniforms;this.setProjectionUniforms(p,a),p.depth=o.nextDepthValue(),h.aHi.pointer(l.FLOAT,!1,16,0),h.dHi.pointer(l.FLOAT,!1,16,8),l.depthMask(!0),l.enable(l.DEPTH_TEST);var m=this.fillColor;f[0]&&(p.color=m[0],p.projectAxis=e,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),f[1]&&(p.color=m[1],p.projectAxis=n,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),f[2]&&(p.color=m[2],p.projectAxis=t,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),f[3]&&(p.color=m[3],p.projectAxis=r,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),l.depthMask(!1),l.disable(l.DEPTH_TEST)}var v=this.lineShader;v.bind(),this.lineBufferLo.bind(),v.attributes.aLo.pointer(l.FLOAT,!1,16,0),v.attributes.dLo.pointer(l.FLOAT,!1,16,8),this.lineBufferHi.bind();var g=v.uniforms;this.setProjectionUniforms(g,a),g.color=c,g.width=s*u,g.dashPattern=this.dashPattern.bind(),g.dashLength=this.dashLength*u;var y=v.attributes;if(y.aHi.pointer(l.FLOAT,!1,16,0),y.dHi.pointer(l.FLOAT,!1,16,8),l.drawArrays(l.TRIANGLES,0,i),s>2&&!this.usingDashes){var b=this.mitreShader;this.lineBufferLo.bind(),b.attributes.aLo.pointer(l.FLOAT,!1,48,0),this.lineBufferHi.bind(),b.bind();var x=b.uniforms;this.setProjectionUniforms(x,a),x.color=c,x.radius=s*u,b.attributes.aHi.pointer(l.FLOAT,!1,48,0),l.drawArrays(l.POINTS,0,i/3|0)}}}}(),f.drawPick=function(){var t=[0,0,0,0];return function(e){var r=this.vertCount,n=this.numPoints;if(this.pickOffset=e,!r)return e+n;var i=this.setProjectionModel(),a=this.plot,o=this.width,s=a.gl,l=a.pickPixelRatio,u=this.pickShader,c=this.pickBuffer;t[0]=255&e,t[1]=e>>>8&255,t[2]=e>>>16&255,t[3]=e>>>24,u.bind();var h=u.uniforms;this.setProjectionUniforms(h,i),h.width=o*l,h.pickOffset=t;var f=u.attributes;return this.lineBufferHi.bind(),f.aHi.pointer(s.FLOAT,!1,16,0),f.dHi.pointer(s.FLOAT,!1,16,8),this.lineBufferLo.bind(),f.aLo.pointer(s.FLOAT,!1,16,0),c.bind(),f.pick0.pointer(s.UNSIGNED_BYTE,!1,8,0),f.pick1.pointer(s.UNSIGNED_BYTE,!1,8,4),s.drawArrays(s.TRIANGLES,0,r),e+n}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.numPoints;if(r<n||r>=n+i)return null;var a=r-n,o=this.data;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}},f.update=function(t){t=t||{};var e,r,n,a,o,s=this.plot.gl;this.color=(t.color||[0,0,1,1]).slice(),this.width=+(t.width||1),this.fill=(t.fill||[!1,!1,!1,!1]).slice(),this.fillColor=i(t.fillColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var h=t.dashes||[1],f=0;for(e=0;e<h.length;++e)f+=h[e];var d=c.mallocUint8(f);n=0;var p=255;for(e=0;e<h.length;++e){for(r=0;r<h[e];++r)d[n++]=p;p^=255}this.dashPattern.dispose(),this.usingDashes=h.length>1,this.dashPattern=l(s,u(d,[f,1,4],[1,0,0])),this.dashPattern.minFilter=s.NEAREST,this.dashPattern.magFilter=s.NEAREST,this.dashLength=f,c.free(d);var m=t.positions;this.data=m;var v=this.bounds;v[0]=v[1]=1/0,v[2]=v[3]=-1/0;var g=this.numPoints=m.length>>>1;if(0!==g){for(e=0;e<g;++e)a=m[2*e],o=m[2*e+1],isNaN(a)||isNaN(o)||(v[0]=Math.min(v[0],a),v[1]=Math.min(v[1],o),v[2]=Math.max(v[2],a),v[3]=Math.max(v[3],o));v[0]===v[2]&&(v[2]+=1),v[3]===v[1]&&(v[3]+=1);var y=c.mallocFloat64(24*(g-1)),b=c.mallocFloat32(24*(g-1)),x=c.mallocFloat32(24*(g-1)),_=c.mallocUint32(12*(g-1)),w=b.length,M=_.length;n=g;for(var k=0;n>1;){var A=--n;a=m[2*n],o=m[2*n+1];var T=A-1,S=m[2*T],E=m[2*T+1];if(!(isNaN(a)||isNaN(o)||isNaN(S)||isNaN(E))){k+=1,a=(a-v[0])/(v[2]-v[0]),o=(o-v[1])/(v[3]-v[1]),S=(S-v[0])/(v[2]-v[0]),E=(E-v[1])/(v[3]-v[1]);var L=S-a,C=E-o,I=A|1<<24,z=A-1,D=A,P=A-1|1<<24;y[--w]=-C,y[--w]=-L,y[--w]=o,y[--w]=a,_[--M]=I,_[--M]=z,y[--w]=C,y[--w]=L,y[--w]=E,y[--w]=S,_[--M]=D,_[--M]=P,y[--w]=-C,y[--w]=-L,y[--w]=E,y[--w]=S,_[--M]=D,_[--M]=P,y[--w]=C,y[--w]=L,y[--w]=E,y[--w]=S,_[--M]=D,_[--M]=P,y[--w]=-C,y[--w]=-L,y[--w]=o,y[--w]=a,_[--M]=I,_[--M]=z,y[--w]=C,y[--w]=L,y[--w]=o,y[--w]=a,_[--M]=I,_[--M]=z}}for(e=0;e<y.length;e++)b[e]=y[e],x[e]=y[e]-b[e];this.vertCount=6*k,this.lineBufferHi.update(b.subarray(w)),this.lineBufferLo.update(x.subarray(w)),this.pickBuffer.update(_.subarray(M)),c.free(y),c.free(b),c.free(x),c.free(_)}},f.dispose=function(){this.plot.removeObject(this),this.lineBufferLo.dispose(),this.lineBufferHi.dispose(),this.pickBuffer.dispose(),this.lineShader.dispose(),this.mitreShader.dispose(),this.fillShader.dispose(),this.pickShader.dispose(),this.dashPattern.dispose()}},{\"./lib/shaders\":169,\"gl-buffer\":156,\"gl-shader\":255,\"gl-texture2d\":267,ndarray:467,\"typedarray-pool\":541}],171:[function(t,e,r){var n=t(\"gl-shader\"),i=\"precision mediump 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\\nvoid main() {\\n  vec4 projected = projection * view * model * vec4(position, 1.0);\\n  vec4 tangentClip = projection * view * model * vec4(nextPosition - position, 0.0);\\n  vec2 tangent = normalize(screenShape * tangentClip.xy);\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(tangent.y, -tangent.x) / screenShape;\\n\\n  gl_Position = vec4(projected.xy + projected.w * offset, projected.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\",a=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return n(t,i,\"precision mediump float;\\n#define GLSLIFY 1\\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(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\\n    discard;\\n  }\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\",null,a)},r.createPickShader=function(t){return n(t,i,\"precision mediump float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\nlowp vec4 encode_float_1_0(highp float v) {\\n  highp float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -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\\n\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\\n    discard;\\n  }\\n  gl_FragColor = vec4(pickId/255.0, encode_float_1_0(pixelArcLength).xyz);\\n}\",null,a)}},{\"gl-shader\":255}],172:[function(t,e,r){\"use strict\";function n(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function i(t){\n",
       "for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<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 a(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function o(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.dirty=!0,this.pixelRatio=1}function s(t){var e=t.gl||t.scene&&t.scene.gl,r=m(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 n=v(e);n.attributes.position.location=0,n.attributes.nextPosition.location=1,n.attributes.arcLength.location=2,n.attributes.lineWidth.location=3,n.attributes.color.location=4;for(var i=l(e),a=u(e,[{buffer:i,size:3,offset:0,stride:48},{buffer:i,size:3,offset:12,stride:48},{buffer:i,size:1,offset:24,stride:48},{buffer:i,size:1,offset:28,stride:48},{buffer:i,size:4,offset:32,stride:48}]),s=d(new Array(1024),[256,1,4]),h=0;h<1024;++h)s.data[h]=255;var f=c(e,s);f.wrap=e.REPEAT;var p=new o(e,r,n,i,a,f);return p.update(t),p}e.exports=s;var l=t(\"gl-buffer\"),u=t(\"gl-vao\"),c=t(\"gl-texture2d\"),h=t(\"glsl-read-float\"),f=t(\"binary-search-bounds\"),d=t(\"ndarray\"),p=t(\"./lib/shaders\"),m=p.createShader,v=p.createPickShader,g=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],y=o.prototype;y.isTransparent=function(){return this.opacity<1},y.isOpaque=function(){return this.opacity>=1},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||g,view:t.view||g,projection:t.projection||g,clipBounds:i(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)},y.drawPick=function(t){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||g,view:t.view||g,projection:t.projection||g,pickId:this.pickId,clipBounds:i(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount)},y.update=function(t){var e,r;this.dirty=!0;var i=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),\"opacity\"in t&&(this.opacity=+t.opacity);var a=t.position||t.positions;if(a){var o=t.color||t.colors||[0,0,0,1],s=t.lineWidth||1,l=[],u=[],c=[],h=0,p=0,m=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],v=!1;t:for(e=1;e<a.length;++e){var g=a[e-1],y=a[e];for(u.push(h),c.push(g.slice()),r=0;r<3;++r){if(isNaN(g[r])||isNaN(y[r])||!isFinite(g[r])||!isFinite(y[r])){if(!i&&l.length>0){for(var b=0;b<24;++b)l.push(l[l.length-12]);p+=2,v=!0}continue t}m[0][r]=Math.min(m[0][r],g[r],y[r]),m[1][r]=Math.max(m[1][r],g[r],y[r])}var x,_;Array.isArray(o[0])?(x=o[e-1],_=o[e]):x=_=o,3===x.length&&(x=[x[0],x[1],x[2],1]),3===_.length&&(_=[_[0],_[1],_[2],1]);var w;w=Array.isArray(s)?s[e-1]:s;var M=h;if(h+=n(g,y),v){for(r=0;r<2;++r)l.push(g[0],g[1],g[2],y[0],y[1],y[2],M,w,x[0],x[1],x[2],x[3]);p+=2,v=!1}l.push(g[0],g[1],g[2],y[0],y[1],y[2],M,w,x[0],x[1],x[2],x[3],g[0],g[1],g[2],y[0],y[1],y[2],M,-w,x[0],x[1],x[2],x[3],y[0],y[1],y[2],g[0],g[1],g[2],h,-w,_[0],_[1],_[2],_[3],y[0],y[1],y[2],g[0],g[1],g[2],h,w,_[0],_[1],_[2],_[3]),p+=4}if(this.buffer.update(l),u.push(h),c.push(a[a.length-1].slice()),this.bounds=m,this.vertexCount=p,this.points=c,this.arcLength=u,\"dashes\"in t){var k=t.dashes,A=k.slice();for(A.unshift(0),e=1;e<A.length;++e)A[e]=A[e-1]+A[e];var T=d(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)T.set(e,0,r,0);1&f.le(A,A[A.length-1]*e/255)?T.set(e,0,0,0):T.set(e,0,0,255)}this.texture.setPixels(T)}}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=h(t.value[0],t.value[1],t.value[2],0),r=f.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new a(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)],o=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),s=1-o,l=[0,0,0],u=0;u<3;++u)l[u]=s*n[u]+o*i[u];var c=Math.min(o<.5?r:r+1,this.points.length-1);return new a(e,l,c,this.points[c])}},{\"./lib/shaders\":171,\"binary-search-bounds\":66,\"gl-buffer\":156,\"gl-texture2d\":267,\"gl-vao\":271,\"glsl-read-float\":278,ndarray:467}],173:[function(t,e,r){function n(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}e.exports=n},{}],174:[function(t,e,r){function n(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],h=c*o-s*u,f=-c*a+s*l,d=u*a-o*l,p=r*h+n*f+i*d;return p?(p=1/p,t[0]=h*p,t[1]=(-c*n+i*u)*p,t[2]=(s*n-i*o)*p,t[3]=f*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}e.exports=n},{}],175:[function(t,e,r){function n(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}e.exports=n},{}],176:[function(t,e,r){function n(){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}e.exports=n},{}],177:[function(t,e,r){function n(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],h=t[10],f=t[11],d=t[12],p=t[13],m=t[14],v=t[15];return(e*o-r*a)*(h*v-f*m)-(e*s-n*a)*(c*v-f*p)+(e*l-i*a)*(c*m-h*p)+(r*s-n*o)*(u*v-f*d)-(r*l-i*o)*(u*m-h*d)+(n*l-i*s)*(u*p-c*d)}e.exports=n},{}],178:[function(t,e,r){function n(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,h=n*s,f=i*o,d=i*s,p=i*l,m=a*o,v=a*s,g=a*l;return t[0]=1-h-p,t[1]=c+g,t[2]=f-v,t[3]=0,t[4]=c-g,t[5]=1-u-p,t[6]=d+m,t[7]=0,t[8]=f+v,t[9]=d-m,t[10]=1-u-h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}e.exports=n},{}],179:[function(t,e,r){function n(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,h=n*l,f=n*u,d=i*l,p=i*u,m=a*u,v=o*s,g=o*l,y=o*u;return t[0]=1-(d+m),t[1]=h+y,t[2]=f-g,t[3]=0,t[4]=h-y,t[5]=1-(c+m),t[6]=p+v,t[7]=0,t[8]=f+g,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}e.exports=n},{}],180:[function(t,e,r){function n(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}e.exports=n},{}],181:[function(t,e,r){function n(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],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],v=e[14],g=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,M=i*u-a*l,k=c*m-h*p,A=c*v-f*p,T=c*g-d*p,S=h*v-f*m,E=h*g-d*m,L=f*g-d*v,C=y*L-b*E+x*S+_*T-w*A+M*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*M-v*w+g*_)*C,t[3]=(f*w-h*M-d*_)*C,t[4]=(l*T-o*L-u*A)*C,t[5]=(r*L-i*T+a*A)*C,t[6]=(v*x-p*M-g*b)*C,t[7]=(c*M-f*x+d*b)*C,t[8]=(o*E-s*T+u*k)*C,t[9]=(n*T-r*E-a*k)*C,t[10]=(p*w-m*x+g*y)*C,t[11]=(h*x-c*w-d*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*b-p*_-v*y)*C,t[15]=(c*_-h*b+f*y)*C,t):null}e.exports=n},{}],182:[function(t,e,r){function n(t,e,r,n){var a,o,s,l,u,c,h,f,d,p,m=e[0],v=e[1],g=e[2],y=n[0],b=n[1],x=n[2],_=r[0],w=r[1],M=r[2];return Math.abs(m-_)<1e-6&&Math.abs(v-w)<1e-6&&Math.abs(g-M)<1e-6?i(t):(h=m-_,f=v-w,d=g-M,p=1/Math.sqrt(h*h+f*f+d*d),h*=p,f*=p,d*=p,a=b*d-x*f,o=x*h-y*d,s=y*f-b*h,p=Math.sqrt(a*a+o*o+s*s),p?(p=1/p,a*=p,o*=p,s*=p):(a=0,o=0,s=0),l=f*s-d*o,u=d*a-h*s,c=h*o-f*a,p=Math.sqrt(l*l+u*u+c*c),p?(p=1/p,l*=p,u*=p,c*=p):(l=0,u=0,c=0),t[0]=a,t[1]=l,t[2]=h,t[3]=0,t[4]=o,t[5]=u,t[6]=f,t[7]=0,t[8]=s,t[9]=c,t[10]=d,t[11]=0,t[12]=-(a*m+o*v+s*g),t[13]=-(l*m+u*v+c*g),t[14]=-(h*m+f*v+d*g),t[15]=1,t)}var i=t(\"./identity\");e.exports=n},{\"./identity\":180}],183:[function(t,e,r){function n(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],h=e[8],f=e[9],d=e[10],p=e[11],m=e[12],v=e[13],g=e[14],y=e[15],b=r[0],x=r[1],_=r[2],w=r[3];return t[0]=b*n+x*s+_*h+w*m,t[1]=b*i+x*l+_*f+w*v,t[2]=b*a+x*u+_*d+w*g,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+_*h+w*m,t[5]=b*i+x*l+_*f+w*v,t[6]=b*a+x*u+_*d+w*g,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+_*h+w*m,t[9]=b*i+x*l+_*f+w*v,t[10]=b*a+x*u+_*d+w*g,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+_*h+w*m,t[13]=b*i+x*l+_*f+w*v,t[14]=b*a+x*u+_*d+w*g,t[15]=b*o+x*c+_*p+w*y,t}e.exports=n},{}],184:[function(t,e,r){function n(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}e.exports=n},{}],185:[function(t,e,r){function n(t,e,r,n){var i,a,o,s,l,u,c,h,f,d,p,m,v,g,y,b,x,_,w,M,k,A,T,S,E=n[0],L=n[1],C=n[2],I=Math.sqrt(E*E+L*L+C*C);return Math.abs(I)<1e-6?null:(I=1/I,E*=I,L*=I,C*=I,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],u=e[2],c=e[3],h=e[4],f=e[5],d=e[6],p=e[7],m=e[8],v=e[9],g=e[10],y=e[11],b=E*E*o+a,x=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,M=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,T=L*C*o-E*i,S=C*C*o+a,t[0]=s*b+h*x+m*_,t[1]=l*b+f*x+v*_,t[2]=u*b+d*x+g*_,t[3]=c*b+p*x+y*_,t[4]=s*w+h*M+m*k,t[5]=l*w+f*M+v*k,t[6]=u*w+d*M+g*k,t[7]=c*w+p*M+y*k,t[8]=s*A+h*T+m*S,t[9]=l*A+f*T+v*S,t[10]=u*A+d*T+g*S,t[11]=c*A+p*T+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)}e.exports=n},{}],186:[function(t,e,r){function n(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],h=e[10],f=e[11];return e!==t&&(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]),t[4]=a*i+u*n,t[5]=o*i+c*n,t[6]=s*i+h*n,t[7]=l*i+f*n,t[8]=u*i-a*n,t[9]=c*i-o*n,t[10]=h*i-s*n,t[11]=f*i-l*n,t}e.exports=n},{}],187:[function(t,e,r){function n(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],h=e[10],f=e[11];return e!==t&&(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]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-h*n,t[3]=l*i-f*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+h*i,t[11]=l*n+f*i,t}e.exports=n},{}],188:[function(t,e,r){function n(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],h=e[6],f=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+h*n,t[3]=l*i+f*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=h*i-s*n,t[7]=f*i-l*n,t}e.exports=n},{}],189:[function(t,e,r){function n(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}e.exports=n},{}],190:[function(t,e,r){function n(t,e,r){var n,i,a,o,s,l,u,c,h,f,d,p,m=r[0],v=r[1],g=r[2];return e===t?(t[12]=e[0]*m+e[4]*v+e[8]*g+e[12],t[13]=e[1]*m+e[5]*v+e[9]*g+e[13],t[14]=e[2]*m+e[6]*v+e[10]*g+e[14],t[15]=e[3]*m+e[7]*v+e[11]*g+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],h=e[8],f=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]=h,t[9]=f,t[10]=d,t[11]=p,t[12]=n*m+s*v+h*g+e[12],t[13]=i*m+l*v+f*g+e[13],t[14]=a*m+u*v+d*g+e[14],t[15]=o*m+c*v+p*g+e[15]),t}e.exports=n},{}],191:[function(t,e,r){function n(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}e.exports=n},{}],192:[function(t,e,r){\"use strict\";function n(t,e){switch(e.length){case 0:break;case 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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];return t[0]=o*c-s*u,t[1]=i*u-n*c,t[2]=n*s-i*o,t[3]=s*l-a*c,t[4]=r*c-i*l,t[5]=i*a-r*s,t[6]=a*u-o*l,t[7]=n*l-r*u,t[8]=r*o-n*a,t},i.determinant=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];return e*(u*a-o*l)+r*(-u*i+o*s)+n*(l*i-a*s)},i.multiply=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],h=e[8],f=r[0],d=r[1],p=r[2],m=r[3],v=r[4],g=r[5],y=r[6],b=r[7],x=r[8];return t[0]=f*n+d*o+p*u,t[1]=f*i+d*s+p*c,t[2]=f*a+d*l+p*h,t[3]=m*n+v*o+g*u,t[4]=m*i+v*s+g*c,t[5]=m*a+v*l+g*h,t[6]=y*n+b*o+x*u,t[7]=y*i+b*s+x*c,t[8]=y*a+b*l+x*h,t},i.mul=i.multiply,i.translate=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],h=e[8],f=r[0],d=r[1];return t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=f*n+d*o+u,t[7]=f*i+d*s+c,t[8]=f*a+d*l+h,t},i.rotate=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],h=e[8],f=Math.sin(r),d=Math.cos(r);return t[0]=d*n+f*o,t[1]=d*i+f*s,t[2]=d*a+f*l,t[3]=d*o-f*n,t[4]=d*s-f*i,t[5]=d*l-f*a,t[6]=u,t[7]=c,t[8]=h,t},i.scale=function(t,e,r){var n=r[0],i=r[1];return t[0]=n*e[0],t[1]=n*e[1],t[2]=n*e[2],t[3]=i*e[3],t[4]=i*e[4],t[5]=i*e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t},i.fromTranslation=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=e[0],t[7]=e[1],t[8]=1,t},i.fromRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},i.fromScaling=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=e[1],t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},i.fromMat2d=function(t,e){return t[0]=e[0],t[1]=e[1],t[2]=0,t[3]=e[2],t[4]=e[3],t[5]=0,t[6]=e[4],t[7]=e[5],t[8]=1,t},i.fromQuat=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,h=n*s,f=i*o,d=i*s,p=i*l,m=a*o,v=a*s,g=a*l;return t[0]=1-h-p,t[3]=c-g,t[6]=f+v,t[1]=c+g,t[4]=1-u-p,t[7]=d-m,t[2]=f-v,t[5]=d+m,t[8]=1-u-h,t},i.normalFromMat4=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],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],v=e[14],g=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,M=i*u-a*l,k=c*m-h*p,A=c*v-f*p,T=c*g-d*p,S=h*v-f*m,E=h*g-d*m,L=f*g-d*v,C=y*L-b*E+x*S+_*T-w*A+M*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(l*T-o*L-u*A)*C,t[2]=(o*E-s*T+u*k)*C,t[3]=(i*E-n*L-a*S)*C,t[4]=(r*L-i*T+a*A)*C,t[5]=(n*T-r*E-a*k)*C,t[6]=(m*M-v*w+g*_)*C,t[7]=(v*x-p*M-g*b)*C,t[8]=(p*w-m*x+g*y)*C,t):null},i.str=function(t){return\"mat3(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\")\"},i.frob=function(t){return Math.sqrt(Math.pow(t[0],2)+Math.pow(t[1],2)+Math.pow(t[2],2)+Math.pow(t[3],2)+Math.pow(t[4],2)+Math.pow(t[5],2)+Math.pow(t[6],2)+Math.pow(t[7],2)+Math.pow(t[8],2))},i.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t[3]=e[3]+r[3],t[4]=e[4]+r[4],t[5]=e[5]+r[5],t[6]=e[6]+r[6],t[7]=e[7]+r[7],t[8]=e[8]+r[8],t},i.subtract=function(t,e,r){return t[0]=e[0]-r[0],t[1]=e[1]-r[1],t[2]=e[2]-r[2],t[3]=e[3]-r[3],t[4]=e[4]-r[4],t[5]=e[5]-r[5],t[6]=e[6]-r[6],t[7]=e[7]-r[7],t[8]=e[8]-r[8],t},i.sub=i.subtract,i.multiplyScalar=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t[3]=e[3]*r,t[4]=e[4]*r,t[5]=e[5]*r,t[6]=e[6]*r,t[7]=e[7]*r,t[8]=e[8]*r,t},i.multiplyScalarAndAdd=function(t,e,r,n){return t[0]=e[0]+r[0]*n,t[1]=e[1]+r[1]*n,t[2]=e[2]+r[2]*n,t[3]=e[3]+r[3]*n,t[4]=e[4]+r[4]*n,t[5]=e[5]+r[5]*n,t[6]=e[6]+r[6]*n,t[7]=e[7]+r[7]*n,t[8]=e[8]+r[8]*n,t},i.exactEquals=function(t,e){return t[0]===e[0]&&t[1]===e[1]&&t[2]===e[2]&&t[3]===e[3]&&t[4]===e[4]&&t[5]===e[5]&&t[6]===e[6]&&t[7]===e[7]&&t[8]===e[8]},i.equals=function(t,e){var r=t[0],i=t[1],a=t[2],o=t[3],s=t[4],l=t[5],u=t[6],c=t[7],h=t[8],f=e[0],d=e[1],p=e[2],m=e[3],v=e[4],g=e[5],y=t[6],b=e[7],x=e[8];return 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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},i.copy=function(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t},i.fromValues=function(t,e,r,i,a,o,s,l,u,c,h,f,d,p,m,v){var g=new n.ARRAY_TYPE(16);return g[0]=t,g[1]=e,g[2]=r,g[3]=i,g[4]=a,g[5]=o,g[6]=s,g[7]=l,g[8]=u,g[9]=c,g[10]=h,g[11]=f,g[12]=d,g[13]=p,g[14]=m,g[15]=v,g},i.set=function(t,e,r,n,i,a,o,s,l,u,c,h,f,d,p,m,v){return t[0]=e,t[1]=r,t[2]=n,t[3]=i,t[4]=a,t[5]=o,t[6]=s,t[7]=l,t[8]=u,t[9]=c,t[10]=h,t[11]=f,t[12]=d,t[13]=p,t[14]=m,t[15]=v,t},i.identity=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},i.scalar.transpose=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},i.SIMD.transpose=function(t,e){var r,n,i,a,o,s,l,u,c,h;return r=SIMD.Float32x4.load(e,0),n=SIMD.Float32x4.load(e,4),i=SIMD.Float32x4.load(e,8),a=SIMD.Float32x4.load(e,12),o=SIMD.Float32x4.shuffle(r,n,0,1,4,5),s=SIMD.Float32x4.shuffle(i,a,0,1,4,5),l=SIMD.Float32x4.shuffle(o,s,0,2,4,6),u=SIMD.Float32x4.shuffle(o,s,1,3,5,7),SIMD.Float32x4.store(t,0,l),SIMD.Float32x4.store(t,4,u),o=SIMD.Float32x4.shuffle(r,n,2,3,6,7),s=SIMD.Float32x4.shuffle(i,a,2,3,6,7),c=SIMD.Float32x4.shuffle(o,s,0,2,4,6),h=SIMD.Float32x4.shuffle(o,s,1,3,5,7),SIMD.Float32x4.store(t,8,c),SIMD.Float32x4.store(t,12,h),t},i.transpose=n.USE_SIMD?i.SIMD.transpose:i.scalar.transpose,i.scalar.invert=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],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],v=e[14],g=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,M=i*u-a*l,k=c*m-h*p,A=c*v-f*p,T=c*g-d*p,S=h*v-f*m,E=h*g-d*m,L=f*g-d*v,C=y*L-b*E+x*S+_*T-w*A+M*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*M-v*w+g*_)*C,t[3]=(f*w-h*M-d*_)*C,t[4]=(l*T-o*L-u*A)*C,t[5]=(r*L-i*T+a*A)*C,t[6]=(v*x-p*M-g*b)*C,t[7]=(c*M-f*x+d*b)*C,t[8]=(o*E-s*T+u*k)*C,t[9]=(n*T-r*E-a*k)*C,t[10]=(p*w-m*x+g*y)*C,t[11]=(h*x-c*w-d*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*b-p*_-v*y)*C,t[15]=(c*_-h*b+f*y)*C,t):null},i.SIMD.invert=function(t,e){var r,n,i,a,o,s,l,u,c,h,f=SIMD.Float32x4.load(e,0),d=SIMD.Float32x4.load(e,4),p=SIMD.Float32x4.load(e,8),m=SIMD.Float32x4.load(e,12);return o=SIMD.Float32x4.shuffle(f,d,0,1,4,5),n=SIMD.Float32x4.shuffle(p,m,0,1,4,5),r=SIMD.Float32x4.shuffle(o,n,0,2,4,6),n=SIMD.Float32x4.shuffle(n,o,1,3,5,7),o=SIMD.Float32x4.shuffle(f,d,2,3,6,7),a=SIMD.Float32x4.shuffle(p,m,2,3,6,7),i=SIMD.Float32x4.shuffle(o,a,0,2,4,6),a=SIMD.Float32x4.shuffle(a,o,1,3,5,7),o=SIMD.Float32x4.mul(i,a),o=SIMD.Float32x4.swizzle(o,1,0,3,2),s=SIMD.Float32x4.mul(n,o),l=SIMD.Float32x4.mul(r,o),o=SIMD.Float32x4.swizzle(o,2,3,0,1),s=SIMD.Float32x4.sub(SIMD.Float32x4.mul(n,o),s),l=SIMD.Float32x4.sub(SIMD.Float32x4.mul(r,o),l),l=SIMD.Float32x4.swizzle(l,2,3,0,1),o=SIMD.Float32x4.mul(n,i),o=SIMD.Float32x4.swizzle(o,1,0,3,2),s=SIMD.Float32x4.add(SIMD.Float32x4.mul(a,o),s),c=SIMD.Float32x4.mul(r,o),o=SIMD.Float32x4.swizzle(o,2,3,0,1),s=SIMD.Float32x4.sub(s,SIMD.Float32x4.mul(a,o)),c=SIMD.Float32x4.sub(SIMD.Float32x4.mul(r,o),c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),o=SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(n,2,3,0,1),a),o=SIMD.Float32x4.swizzle(o,1,0,3,2),i=SIMD.Float32x4.swizzle(i,2,3,0,1),s=SIMD.Float32x4.add(SIMD.Float32x4.mul(i,o),s),u=SIMD.Float32x4.mul(r,o),o=SIMD.Float32x4.swizzle(o,2,3,0,1),s=SIMD.Float32x4.sub(s,SIMD.Float32x4.mul(i,o)),u=SIMD.Float32x4.sub(SIMD.Float32x4.mul(r,o),u),u=SIMD.Float32x4.swizzle(u,2,3,0,1),o=SIMD.Float32x4.mul(r,n),o=SIMD.Float32x4.swizzle(o,1,0,3,2),u=SIMD.Float32x4.add(SIMD.Float32x4.mul(a,o),u),c=SIMD.Float32x4.sub(SIMD.Float32x4.mul(i,o),c),o=SIMD.Float32x4.swizzle(o,2,3,0,1),u=SIMD.Float32x4.sub(SIMD.Float32x4.mul(a,o),u),c=SIMD.Float32x4.sub(c,SIMD.Float32x4.mul(i,o)),o=SIMD.Float32x4.mul(r,a),o=SIMD.Float32x4.swizzle(o,1,0,3,2),l=SIMD.Float32x4.sub(l,SIMD.Float32x4.mul(i,o)),u=SIMD.Float32x4.add(SIMD.Float32x4.mul(n,o),u),o=SIMD.Float32x4.swizzle(o,2,3,0,1),l=SIMD.Float32x4.add(SIMD.Float32x4.mul(i,o),l),u=SIMD.Float32x4.sub(u,SIMD.Float32x4.mul(n,o)),o=SIMD.Float32x4.mul(r,i),o=SIMD.Float32x4.swizzle(o,1,0,3,2),l=SIMD.Float32x4.add(SIMD.Float32x4.mul(a,o),l),c=SIMD.Float32x4.sub(c,SIMD.Float32x4.mul(n,o)),o=SIMD.Float32x4.swizzle(o,2,3,0,1),l=SIMD.Float32x4.sub(l,SIMD.Float32x4.mul(a,o)),c=SIMD.Float32x4.add(SIMD.Float32x4.mul(n,o),c),h=SIMD.Float32x4.mul(r,s),h=SIMD.Float32x4.add(SIMD.Float32x4.swizzle(h,2,3,0,1),h),h=SIMD.Float32x4.add(SIMD.Float32x4.swizzle(h,1,0,3,2),h),o=SIMD.Float32x4.reciprocalApproximation(h),h=SIMD.Float32x4.sub(SIMD.Float32x4.add(o,o),SIMD.Float32x4.mul(h,SIMD.Float32x4.mul(o,o))),(h=SIMD.Float32x4.swizzle(h,0,0,0,0))?(SIMD.Float32x4.store(t,0,SIMD.Float32x4.mul(h,s)),SIMD.Float32x4.store(t,4,SIMD.Float32x4.mul(h,l)),SIMD.Float32x4.store(t,8,SIMD.Float32x4.mul(h,u)),SIMD.Float32x4.store(t,12,SIMD.Float32x4.mul(h,c)),t):null},i.invert=n.USE_SIMD?i.SIMD.invert:i.scalar.invert,i.scalar.adjoint=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],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],v=e[14],g=e[15];return t[0]=s*(f*g-d*v)-h*(l*g-u*v)+m*(l*d-u*f),t[1]=-(n*(f*g-d*v)-h*(i*g-a*v)+m*(i*d-a*f)),t[2]=n*(l*g-u*v)-s*(i*g-a*v)+m*(i*u-a*l),t[3]=-(n*(l*d-u*f)-s*(i*d-a*f)+h*(i*u-a*l)),t[4]=-(o*(f*g-d*v)-c*(l*g-u*v)+p*(l*d-u*f)),t[5]=r*(f*g-d*v)-c*(i*g-a*v)+p*(i*d-a*f),t[6]=-(r*(l*g-u*v)-o*(i*g-a*v)+p*(i*u-a*l)),t[7]=r*(l*d-u*f)-o*(i*d-a*f)+c*(i*u-a*l),t[8]=o*(h*g-d*m)-c*(s*g-u*m)+p*(s*d-u*h),t[9]=-(r*(h*g-d*m)-c*(n*g-a*m)+p*(n*d-a*h)),t[10]=r*(s*g-u*m)-o*(n*g-a*m)+p*(n*u-a*s),t[11]=-(r*(s*d-u*h)-o*(n*d-a*h)+c*(n*u-a*s)),t[12]=-(o*(h*v-f*m)-c*(s*v-l*m)+p*(s*f-l*h)),t[13]=r*(h*v-f*m)-c*(n*v-i*m)+p*(n*f-i*h),t[14]=-(r*(s*v-l*m)-o*(n*v-i*m)+p*(n*l-i*s)),t[15]=r*(s*f-l*h)-o*(n*f-i*h)+c*(n*l-i*s),t},i.SIMD.adjoint=function(t,e){var r,n,i,a,o,s,l,u,c,h,f,d,p,r=SIMD.Float32x4.load(e,0),n=SIMD.Float32x4.load(e,4),i=SIMD.Float32x4.load(e,8),a=SIMD.Float32x4.load(e,12)\n",
       ";return c=SIMD.Float32x4.shuffle(r,n,0,1,4,5),s=SIMD.Float32x4.shuffle(i,a,0,1,4,5),o=SIMD.Float32x4.shuffle(c,s,0,2,4,6),s=SIMD.Float32x4.shuffle(s,c,1,3,5,7),c=SIMD.Float32x4.shuffle(r,n,2,3,6,7),u=SIMD.Float32x4.shuffle(i,a,2,3,6,7),l=SIMD.Float32x4.shuffle(c,u,0,2,4,6),u=SIMD.Float32x4.shuffle(u,c,1,3,5,7),c=SIMD.Float32x4.mul(l,u),c=SIMD.Float32x4.swizzle(c,1,0,3,2),h=SIMD.Float32x4.mul(s,c),f=SIMD.Float32x4.mul(o,c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),h=SIMD.Float32x4.sub(SIMD.Float32x4.mul(s,c),h),f=SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,c),f),f=SIMD.Float32x4.swizzle(f,2,3,0,1),c=SIMD.Float32x4.mul(s,l),c=SIMD.Float32x4.swizzle(c,1,0,3,2),h=SIMD.Float32x4.add(SIMD.Float32x4.mul(u,c),h),p=SIMD.Float32x4.mul(o,c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),h=SIMD.Float32x4.sub(h,SIMD.Float32x4.mul(u,c)),p=SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,c),p),p=SIMD.Float32x4.swizzle(p,2,3,0,1),c=SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,2,3,0,1),u),c=SIMD.Float32x4.swizzle(c,1,0,3,2),l=SIMD.Float32x4.swizzle(l,2,3,0,1),h=SIMD.Float32x4.add(SIMD.Float32x4.mul(l,c),h),d=SIMD.Float32x4.mul(o,c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),h=SIMD.Float32x4.sub(h,SIMD.Float32x4.mul(l,c)),d=SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,c),d),d=SIMD.Float32x4.swizzle(d,2,3,0,1),c=SIMD.Float32x4.mul(o,s),c=SIMD.Float32x4.swizzle(c,1,0,3,2),d=SIMD.Float32x4.add(SIMD.Float32x4.mul(u,c),d),p=SIMD.Float32x4.sub(SIMD.Float32x4.mul(l,c),p),c=SIMD.Float32x4.swizzle(c,2,3,0,1),d=SIMD.Float32x4.sub(SIMD.Float32x4.mul(u,c),d),p=SIMD.Float32x4.sub(p,SIMD.Float32x4.mul(l,c)),c=SIMD.Float32x4.mul(o,u),c=SIMD.Float32x4.swizzle(c,1,0,3,2),f=SIMD.Float32x4.sub(f,SIMD.Float32x4.mul(l,c)),d=SIMD.Float32x4.add(SIMD.Float32x4.mul(s,c),d),c=SIMD.Float32x4.swizzle(c,2,3,0,1),f=SIMD.Float32x4.add(SIMD.Float32x4.mul(l,c),f),d=SIMD.Float32x4.sub(d,SIMD.Float32x4.mul(s,c)),c=SIMD.Float32x4.mul(o,l),c=SIMD.Float32x4.swizzle(c,1,0,3,2),f=SIMD.Float32x4.add(SIMD.Float32x4.mul(u,c),f),p=SIMD.Float32x4.sub(p,SIMD.Float32x4.mul(s,c)),c=SIMD.Float32x4.swizzle(c,2,3,0,1),f=SIMD.Float32x4.sub(f,SIMD.Float32x4.mul(u,c)),p=SIMD.Float32x4.add(SIMD.Float32x4.mul(s,c),p),SIMD.Float32x4.store(t,0,h),SIMD.Float32x4.store(t,4,f),SIMD.Float32x4.store(t,8,d),SIMD.Float32x4.store(t,12,p),t},i.adjoint=n.USE_SIMD?i.SIMD.adjoint:i.scalar.adjoint,i.determinant=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],h=t[10],f=t[11],d=t[12],p=t[13],m=t[14],v=t[15];return(e*o-r*a)*(h*v-f*m)-(e*s-n*a)*(c*v-f*p)+(e*l-i*a)*(c*m-h*p)+(r*s-n*o)*(u*v-f*d)-(r*l-i*o)*(u*m-h*d)+(n*l-i*s)*(u*p-c*d)},i.SIMD.multiply=function(t,e,r){var n=SIMD.Float32x4.load(e,0),i=SIMD.Float32x4.load(e,4),a=SIMD.Float32x4.load(e,8),o=SIMD.Float32x4.load(e,12),s=SIMD.Float32x4.load(r,0),l=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,3,3,3,3),o))));SIMD.Float32x4.store(t,0,l);var u=SIMD.Float32x4.load(r,4),c=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,3,3,3,3),o))));SIMD.Float32x4.store(t,4,c);var h=SIMD.Float32x4.load(r,8),f=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,3,3,3,3),o))));SIMD.Float32x4.store(t,8,f);var d=SIMD.Float32x4.load(r,12),p=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,3,3,3,3),o))));return SIMD.Float32x4.store(t,12,p),t},i.scalar.multiply=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],h=e[8],f=e[9],d=e[10],p=e[11],m=e[12],v=e[13],g=e[14],y=e[15],b=r[0],x=r[1],_=r[2],w=r[3];return t[0]=b*n+x*s+_*h+w*m,t[1]=b*i+x*l+_*f+w*v,t[2]=b*a+x*u+_*d+w*g,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+_*h+w*m,t[5]=b*i+x*l+_*f+w*v,t[6]=b*a+x*u+_*d+w*g,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+_*h+w*m,t[9]=b*i+x*l+_*f+w*v,t[10]=b*a+x*u+_*d+w*g,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+_*h+w*m,t[13]=b*i+x*l+_*f+w*v,t[14]=b*a+x*u+_*d+w*g,t[15]=b*o+x*c+_*p+w*y,t},i.multiply=n.USE_SIMD?i.SIMD.multiply:i.scalar.multiply,i.mul=i.multiply,i.scalar.translate=function(t,e,r){var n,i,a,o,s,l,u,c,h,f,d,p,m=r[0],v=r[1],g=r[2];return e===t?(t[12]=e[0]*m+e[4]*v+e[8]*g+e[12],t[13]=e[1]*m+e[5]*v+e[9]*g+e[13],t[14]=e[2]*m+e[6]*v+e[10]*g+e[14],t[15]=e[3]*m+e[7]*v+e[11]*g+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],h=e[8],f=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]=h,t[9]=f,t[10]=d,t[11]=p,t[12]=n*m+s*v+h*g+e[12],t[13]=i*m+l*v+f*g+e[13],t[14]=a*m+u*v+d*g+e[14],t[15]=o*m+c*v+p*g+e[15]),t},i.SIMD.translate=function(t,e,r){var n=SIMD.Float32x4.load(e,0),i=SIMD.Float32x4.load(e,4),a=SIMD.Float32x4.load(e,8),o=SIMD.Float32x4.load(e,12),s=SIMD.Float32x4(r[0],r[1],r[2],0);e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11]),n=SIMD.Float32x4.mul(n,SIMD.Float32x4.swizzle(s,0,0,0,0)),i=SIMD.Float32x4.mul(i,SIMD.Float32x4.swizzle(s,1,1,1,1)),a=SIMD.Float32x4.mul(a,SIMD.Float32x4.swizzle(s,2,2,2,2));var l=SIMD.Float32x4.add(n,SIMD.Float32x4.add(i,SIMD.Float32x4.add(a,o)));return SIMD.Float32x4.store(t,12,l),t},i.translate=n.USE_SIMD?i.SIMD.translate:i.scalar.translate,i.scalar.scale=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},i.SIMD.scale=function(t,e,r){var n,i,a,o=SIMD.Float32x4(r[0],r[1],r[2],0);return n=SIMD.Float32x4.load(e,0),SIMD.Float32x4.store(t,0,SIMD.Float32x4.mul(n,SIMD.Float32x4.swizzle(o,0,0,0,0))),i=SIMD.Float32x4.load(e,4),SIMD.Float32x4.store(t,4,SIMD.Float32x4.mul(i,SIMD.Float32x4.swizzle(o,1,1,1,1))),a=SIMD.Float32x4.load(e,8),SIMD.Float32x4.store(t,8,SIMD.Float32x4.mul(a,SIMD.Float32x4.swizzle(o,2,2,2,2))),t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t},i.scale=n.USE_SIMD?i.SIMD.scale:i.scalar.scale,i.rotate=function(t,e,r,i){var a,o,s,l,u,c,h,f,d,p,m,v,g,y,b,x,_,w,M,k,A,T,S,E,L=i[0],C=i[1],I=i[2],z=Math.sqrt(L*L+C*C+I*I);return Math.abs(z)<n.EPSILON?null:(z=1/z,L*=z,C*=z,I*=z,a=Math.sin(r),o=Math.cos(r),s=1-o,l=e[0],u=e[1],c=e[2],h=e[3],f=e[4],d=e[5],p=e[6],m=e[7],v=e[8],g=e[9],y=e[10],b=e[11],x=L*L*s+o,_=C*L*s+I*a,w=I*L*s-C*a,M=L*C*s-I*a,k=C*C*s+o,A=I*C*s+L*a,T=L*I*s+C*a,S=C*I*s-L*a,E=I*I*s+o,t[0]=l*x+f*_+v*w,t[1]=u*x+d*_+g*w,t[2]=c*x+p*_+y*w,t[3]=h*x+m*_+b*w,t[4]=l*M+f*k+v*A,t[5]=u*M+d*k+g*A,t[6]=c*M+p*k+y*A,t[7]=h*M+m*k+b*A,t[8]=l*T+f*S+v*E,t[9]=u*T+d*S+g*E,t[10]=c*T+p*S+y*E,t[11]=h*T+m*S+b*E,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)},i.scalar.rotateX=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],h=e[10],f=e[11];return e!==t&&(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]),t[4]=a*i+u*n,t[5]=o*i+c*n,t[6]=s*i+h*n,t[7]=l*i+f*n,t[8]=u*i-a*n,t[9]=c*i-o*n,t[10]=h*i-s*n,t[11]=f*i-l*n,t},i.SIMD.rotateX=function(t,e,r){var n=SIMD.Float32x4.splat(Math.sin(r)),i=SIMD.Float32x4.splat(Math.cos(r));e!==t&&(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]);var a=SIMD.Float32x4.load(e,4),o=SIMD.Float32x4.load(e,8);return SIMD.Float32x4.store(t,4,SIMD.Float32x4.add(SIMD.Float32x4.mul(a,i),SIMD.Float32x4.mul(o,n))),SIMD.Float32x4.store(t,8,SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,i),SIMD.Float32x4.mul(a,n))),t},i.rotateX=n.USE_SIMD?i.SIMD.rotateX:i.scalar.rotateX,i.scalar.rotateY=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],h=e[10],f=e[11];return e!==t&&(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]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-h*n,t[3]=l*i-f*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+h*i,t[11]=l*n+f*i,t},i.SIMD.rotateY=function(t,e,r){var n=SIMD.Float32x4.splat(Math.sin(r)),i=SIMD.Float32x4.splat(Math.cos(r));e!==t&&(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]);var a=SIMD.Float32x4.load(e,0),o=SIMD.Float32x4.load(e,8);return SIMD.Float32x4.store(t,0,SIMD.Float32x4.sub(SIMD.Float32x4.mul(a,i),SIMD.Float32x4.mul(o,n))),SIMD.Float32x4.store(t,8,SIMD.Float32x4.add(SIMD.Float32x4.mul(a,n),SIMD.Float32x4.mul(o,i))),t},i.rotateY=n.USE_SIMD?i.SIMD.rotateY:i.scalar.rotateY,i.scalar.rotateZ=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],h=e[6],f=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+h*n,t[3]=l*i+f*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=h*i-s*n,t[7]=f*i-l*n,t},i.SIMD.rotateZ=function(t,e,r){var n=SIMD.Float32x4.splat(Math.sin(r)),i=SIMD.Float32x4.splat(Math.cos(r));e!==t&&(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]);var a=SIMD.Float32x4.load(e,0),o=SIMD.Float32x4.load(e,4);return SIMD.Float32x4.store(t,0,SIMD.Float32x4.add(SIMD.Float32x4.mul(a,i),SIMD.Float32x4.mul(o,n))),SIMD.Float32x4.store(t,4,SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,i),SIMD.Float32x4.mul(a,n))),t},i.rotateZ=n.USE_SIMD?i.SIMD.rotateZ:i.scalar.rotateZ,i.fromTranslation=function(t,e){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]=e[0],t[13]=e[1],t[14]=e[2],t[15]=1,t},i.fromScaling=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=e[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.fromRotation=function(t,e,r){var i,a,o,s=r[0],l=r[1],u=r[2],c=Math.sqrt(s*s+l*l+u*u);return Math.abs(c)<n.EPSILON?null:(c=1/c,s*=c,l*=c,u*=c,i=Math.sin(e),a=Math.cos(e),o=1-a,t[0]=s*s*o+a,t[1]=l*s*o+u*i,t[2]=u*s*o-l*i,t[3]=0,t[4]=s*l*o-u*i,t[5]=l*l*o+a,t[6]=u*l*o+s*i,t[7]=0,t[8]=s*u*o+l*i,t[9]=l*u*o-s*i,t[10]=u*u*o+a,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t)},i.fromXRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=n,t[6]=r,t[7]=0,t[8]=0,t[9]=-r,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.fromYRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=0,t[2]=-r,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=r,t[9]=0,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.fromZRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=0,t[4]=-r,t[5]=n,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},i.fromRotationTranslation=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,h=n*l,f=n*u,d=i*l,p=i*u,m=a*u,v=o*s,g=o*l,y=o*u;return t[0]=1-(d+m),t[1]=h+y,t[2]=f-g,t[3]=0,t[4]=h-y,t[5]=1-(c+m),t[6]=p+v,t[7]=0,t[8]=f+g,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},i.getTranslation=function(t,e){return t[0]=e[12],t[1]=e[13],t[2]=e[14],t},i.getRotation=function(t,e){var r=e[0]+e[5]+e[10],n=0;return r>0?(n=2*Math.sqrt(r+1),t[3]=.25*n,t[0]=(e[6]-e[9])/n,t[1]=(e[8]-e[2])/n,t[2]=(e[1]-e[4])/n):e[0]>e[5]&e[0]>e[10]?(n=2*Math.sqrt(1+e[0]-e[5]-e[10]),t[3]=(e[6]-e[9])/n,t[0]=.25*n,t[1]=(e[1]+e[4])/n,t[2]=(e[8]+e[2])/n):e[5]>e[10]?(n=2*Math.sqrt(1+e[5]-e[0]-e[10]),t[3]=(e[8]-e[2])/n,t[0]=(e[1]+e[4])/n,t[1]=.25*n,t[2]=(e[6]+e[9])/n):(n=2*Math.sqrt(1+e[10]-e[0]-e[5]),t[3]=(e[1]-e[4])/n,t[0]=(e[8]+e[2])/n,t[1]=(e[6]+e[9])/n,t[2]=.25*n),t},i.fromRotationTranslationScale=function(t,e,r,n){var i=e[0],a=e[1],o=e[2],s=e[3],l=i+i,u=a+a,c=o+o,h=i*l,f=i*u,d=i*c,p=a*u,m=a*c,v=o*c,g=s*l,y=s*u,b=s*c,x=n[0],_=n[1],w=n[2];return t[0]=(1-(p+v))*x,t[1]=(f+b)*x,t[2]=(d-y)*x,t[3]=0,t[4]=(f-b)*_,t[5]=(1-(h+v))*_,t[6]=(m+g)*_,t[7]=0,t[8]=(d+y)*w,t[9]=(m-g)*w,t[10]=(1-(h+p))*w,t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t},i.fromRotationTranslationScaleOrigin=function(t,e,r,n,i){var a=e[0],o=e[1],s=e[2],l=e[3],u=a+a,c=o+o,h=s+s,f=a*u,d=a*c,p=a*h,m=o*c,v=o*h,g=s*h,y=l*u,b=l*c,x=l*h,_=n[0],w=n[1],M=n[2],k=i[0],A=i[1],T=i[2];return t[0]=(1-(m+g))*_,t[1]=(d+x)*_,t[2]=(p-b)*_,t[3]=0,t[4]=(d-x)*w,t[5]=(1-(f+g))*w,t[6]=(v+y)*w,t[7]=0,t[8]=(p+b)*M,t[9]=(v-y)*M,t[10]=(1-(f+m))*M,t[11]=0,t[12]=r[0]+k-(t[0]*k+t[4]*A+t[8]*T),t[13]=r[1]+A-(t[1]*k+t[5]*A+t[9]*T),t[14]=r[2]+T-(t[2]*k+t[6]*A+t[10]*T),t[15]=1,t},i.fromQuat=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,h=n*s,f=i*o,d=i*s,p=i*l,m=a*o,v=a*s,g=a*l;return t[0]=1-h-p,t[1]=c+g,t[2]=f-v,t[3]=0,t[4]=c-g,t[5]=1-u-p,t[6]=d+m,t[7]=0,t[8]=f+v,t[9]=d-m,t[10]=1-u-h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.frustum=function(t,e,r,n,i,a,o){var s=1/(r-e),l=1/(i-n),u=1/(a-o);return t[0]=2*a*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=2*a*l,t[6]=0,t[7]=0,t[8]=(r+e)*s,t[9]=(i+n)*l,t[10]=(o+a)*u,t[11]=-1,t[12]=0,t[13]=0,t[14]=o*a*2*u,t[15]=0,t},i.perspective=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},i.perspectiveFromFieldOfView=function(t,e,r,n){var i=Math.tan(e.upDegrees*Math.PI/180),a=Math.tan(e.downDegrees*Math.PI/180),o=Math.tan(e.leftDegrees*Math.PI/180),s=Math.tan(e.rightDegrees*Math.PI/180),l=2/(o+s),u=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=u,t[6]=0,t[7]=0,t[8]=-(o-s)*l*.5,t[9]=(i-a)*u*.5,t[10]=n/(r-n),t[11]=-1,t[12]=0,t[13]=0,t[14]=n*r/(r-n),t[15]=0,t},i.ortho=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},i.lookAt=function(t,e,r,a){var o,s,l,u,c,h,f,d,p,m,v=e[0],g=e[1],y=e[2],b=a[0],x=a[1],_=a[2],w=r[0],M=r[1],k=r[2];return Math.abs(v-w)<n.EPSILON&&Math.abs(g-M)<n.EPSILON&&Math.abs(y-k)<n.EPSILON?i.identity(t):(f=v-w,d=g-M,p=y-k,m=1/Math.sqrt(f*f+d*d+p*p),f*=m,d*=m,p*=m,o=x*p-_*d,s=_*f-b*p,l=b*d-x*f,m=Math.sqrt(o*o+s*s+l*l),m?(m=1/m,o*=m,s*=m,l*=m):(o=0,s=0,l=0),u=d*l-p*s,c=p*o-f*l,h=f*s-d*o,m=Math.sqrt(u*u+c*c+h*h),m?(m=1/m,u*=m,c*=m,h*=m):(u=0,c=0,h=0),t[0]=o,t[1]=u,t[2]=f,t[3]=0,t[4]=s,t[5]=c,t[6]=d,t[7]=0,t[8]=l,t[9]=h,t[10]=p,t[11]=0,t[12]=-(o*v+s*g+l*y),t[13]=-(u*v+c*g+h*y),t[14]=-(f*v+d*g+p*y),t[15]=1,t)},i.str=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"},i.frob=function(t){return Math.sqrt(Math.pow(t[0],2)+Math.pow(t[1],2)+Math.pow(t[2],2)+Math.pow(t[3],2)+Math.pow(t[4],2)+Math.pow(t[5],2)+Math.pow(t[6],2)+Math.pow(t[7],2)+Math.pow(t[8],2)+Math.pow(t[9],2)+Math.pow(t[10],2)+Math.pow(t[11],2)+Math.pow(t[12],2)+Math.pow(t[13],2)+Math.pow(t[14],2)+Math.pow(t[15],2))},i.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t[3]=e[3]+r[3],t[4]=e[4]+r[4],t[5]=e[5]+r[5],t[6]=e[6]+r[6],t[7]=e[7]+r[7],t[8]=e[8]+r[8],t[9]=e[9]+r[9],t[10]=e[10]+r[10],t[11]=e[11]+r[11],t[12]=e[12]+r[12],t[13]=e[13]+r[13],t[14]=e[14]+r[14],t[15]=e[15]+r[15],t},i.subtract=function(t,e,r){return t[0]=e[0]-r[0],t[1]=e[1]-r[1],t[2]=e[2]-r[2],t[3]=e[3]-r[3],t[4]=e[4]-r[4],t[5]=e[5]-r[5],t[6]=e[6]-r[6],t[7]=e[7]-r[7],t[8]=e[8]-r[8],t[9]=e[9]-r[9],t[10]=e[10]-r[10],t[11]=e[11]-r[11],t[12]=e[12]-r[12],t[13]=e[13]-r[13],t[14]=e[14]-r[14],t[15]=e[15]-r[15],t},i.sub=i.subtract,i.multiplyScalar=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t[3]=e[3]*r,t[4]=e[4]*r,t[5]=e[5]*r,t[6]=e[6]*r,t[7]=e[7]*r,t[8]=e[8]*r,t[9]=e[9]*r,t[10]=e[10]*r,t[11]=e[11]*r,t[12]=e[12]*r,t[13]=e[13]*r,t[14]=e[14]*r,t[15]=e[15]*r,t},i.multiplyScalarAndAdd=function(t,e,r,n){return t[0]=e[0]+r[0]*n,t[1]=e[1]+r[1]*n,t[2]=e[2]+r[2]*n,t[3]=e[3]+r[3]*n,t[4]=e[4]+r[4]*n,t[5]=e[5]+r[5]*n,t[6]=e[6]+r[6]*n,t[7]=e[7]+r[7]*n,t[8]=e[8]+r[8]*n,t[9]=e[9]+r[9]*n,t[10]=e[10]+r[10]*n,t[11]=e[11]+r[11]*n,t[12]=e[12]+r[12]*n,t[13]=e[13]+r[13]*n,t[14]=e[14]+r[14]*n,t[15]=e[15]+r[15]*n,t},i.exactEquals=function(t,e){return t[0]===e[0]&&t[1]===e[1]&&t[2]===e[2]&&t[3]===e[3]&&t[4]===e[4]&&t[5]===e[5]&&t[6]===e[6]&&t[7]===e[7]&&t[8]===e[8]&&t[9]===e[9]&&t[10]===e[10]&&t[11]===e[11]&&t[12]===e[12]&&t[13]===e[13]&&t[14]===e[14]&&t[15]===e[15]},i.equals=function(t,e){var r=t[0],i=t[1],a=t[2],o=t[3],s=t[4],l=t[5],u=t[6],c=t[7],h=t[8],f=t[9],d=t[10],p=t[11],m=t[12],v=t[13],g=t[14],y=t[15],b=e[0],x=e[1],_=e[2],w=e[3],M=e[4],k=e[5],A=e[6],T=e[7],S=e[8],E=e[9],L=e[10],C=e[11],I=e[12],z=e[13],D=e[14],P=e[15];return 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vec4 m_position  = model * vec4(position, 1.0);\\n  vec4 t_position  = view * m_position;\\n  gl_Position      = projection * t_position;\\n  f_color          = color;\\n  f_normal         = normal;\\n  f_data           = position;\\n  f_eyeDirection   = eyePosition   - position;\\n  f_lightDirection = lightPosition - position;\\n  f_uv             = uv;\\n}\",fragment:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution_2_0(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\\n\\n\\nfloat cookTorranceSpecular_1_1(\\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_2_0(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\\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     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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}\",fragment:\"precision mediump float;\\n#define GLSLIFY 1\\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(any(lessThan(f_data, clipBounds[0])) || \\n     any(greaterThan(f_data, clipBounds[1]))) {\\n    discard;\\n  }\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\",attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:\"precision mediump float;\\n#define GLSLIFY 1\\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(any(lessThan(position, clipBounds[0])) || \\n     any(greaterThan(position, clipBounds[1]))) {\\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}\",fragment:\"precision mediump 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) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\",attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:\"precision mediump 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}\",fragment:n,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:\"precision mediump float;\\n#define GLSLIFY 1\\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(any(lessThan(position, clipBounds[0])) || \\n     any(greaterThan(position, clipBounds[1]))) {\\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}\",fragment:n,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:\"precision mediump 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}\",fragment:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor,1);\\n}\\n\",attributes:[{name:\"position\",type:\"vec3\"}]}},{}],205:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l,u,c,h,f,d,p,m,v,g,y,b,x,_,w,M,k,A,T){this.gl=t,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=f,this.triangleUVs=h,this.triangleIds=u,this.triangleVAO=d,this.triangleCount=0,this.lineWidth=1,this.edgePositions=p,this.edgeColors=v,this.edgeUVs=g,this.edgeIds=m,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=b,this.pointColors=_,this.pointUVs=w,this.pointSizes=M,this.pointIds=x,this.pointVAO=k,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,this.contourVAO=T,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=D,this._view=D,this._projection=D,this._resolution=[1,1]}function i(t){for(var e=w({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return _(r,[256,256,4],[4,0,1])}function a(t,e,r){for(var n=new Array(e),i=0;i<e;++i)n[i]=0;for(var a=t.length,i=0;i<a;++i)for(var o=t[i],s=0;s<o.length;++s)n[o[s]]=r[i];return n}function o(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}function s(t){var e=p(t,S.vertex,S.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function l(t){var e=p(t,E.vertex,E.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function u(t){var e=p(t,L.vertex,L.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function c(t){var e=p(t,C.vertex,C.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function h(t){var e=p(t,I.vertex,I.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function f(t){var e=p(t,z.vertex,z.fragment);return e.attributes.position.location=0,e}function d(t,e){1===arguments.length&&(e=t,t=e.gl);var r=s(t),i=l(t),a=u(t),o=c(t),d=h(t),p=f(t),y=g(t,_(new Uint8Array([255,255,255,255]),[1,1,4]));y.generateMipmap(),y.minFilter=t.LINEAR_MIPMAP_LINEAR,y.magFilter=t.LINEAR;var b=m(t),x=m(t),w=m(t),M=m(t),k=m(t),A=v(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:x,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2},{buffer:M,type:t.FLOAT,size:3}]),T=m(t),S=m(t),E=m(t),L=m(t),C=v(t,[{buffer:T,type:t.FLOAT,size:3},{buffer:L,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:S,type:t.FLOAT,size:4},{buffer:E,type:t.FLOAT,size:2}]),I=m(t),z=m(t),D=m(t),P=m(t),O=m(t),R=v(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:O,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:z,type:t.FLOAT,size:4},{buffer:D,type:t.FLOAT,size:2},{buffer:P,type:t.FLOAT,size:1}]),F=m(t),j=v(t,[{buffer:F,type:t.FLOAT,size:3}]),N=new n(t,y,r,i,a,o,d,p,b,k,x,w,M,A,T,L,S,E,C,I,O,z,D,P,R,F,j);return N.update(e),N}var p=t(\"gl-shader\"),m=t(\"gl-buffer\"),v=t(\"gl-vao\"),g=t(\"gl-texture2d\"),y=t(\"normals\"),b=t(\"gl-mat4/multiply\"),x=t(\"gl-mat4/invert\"),_=t(\"ndarray\"),w=t(\"colormap\"),M=t(\"simplicial-complex-contour\"),k=t(\"typedarray-pool\"),A=t(\"./lib/shaders\"),T=t(\"./lib/closest-point\"),S=A.meshShader,E=A.wireShader,L=A.pointShader,C=A.pickShader,I=A.pointPickShader,z=A.contourShader,D=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],P=n.prototype;P.isOpaque=function(){return this.opacity>=1},P.isTransparent=function(){return this.opacity<1},P.pickSlots=1,P.setPickBase=function(t){this.pickId=t},P.highlight=function(t){if(!t||!this.contourEnable)return void(this.contourCount=0);for(var e=M(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=k.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var h=u[0];2===u.length&&(h=u[c]);for(var f=n[h][0],d=n[h][1],p=i[h],m=1-p,v=this.positions[f],g=this.positions[d],y=0;y<3;++y)o[s++]=p*v[y]+m*g[y]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),k.free(o)},P.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=g(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(i(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var s=[],l=[],u=[],c=[],h=[],f=[],d=[],p=[],m=[],v=[],b=[],x=[],_=[],w=[];this.cells=r,this.positions=n;var M=t.vertexNormals,k=t.cellNormals,A=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,T=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!k&&(k=y.faceNormals(r,n,T)),k||M||(M=y.vertexNormals(r,n,A));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,I=t.vertexIntensity,z=t.cellUVs,D=t.cellIntensity,P=1/0,O=-1/0;if(!C&&!z)if(I)if(t.vertexIntensityBounds)P=+t.vertexIntensityBounds[0],O=+t.vertexIntensityBounds[1];else for(var R=0;R<I.length;++R){var F=I[R];P=Math.min(P,F),O=Math.max(O,F)}else if(D)for(var R=0;R<D.length;++R){var F=D[R];P=Math.min(P,F),O=Math.max(O,F)}else for(var R=0;R<n.length;++R){var F=n[R][2];P=Math.min(P,F),O=Math.max(O,F)}this.intensity=I||(D?a(r,n.length,D):o(n));var j=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(var R=0;R<n.length;++R)for(var B=n[R],U=0;U<3;++U)!isNaN(B[U])&&isFinite(B[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],B[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],B[U]));var V=0,H=0,q=0;t:for(var R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(var Y=G[0],B=n[Y],U=0;U<3;++U)if(isNaN(B[U])||!isFinite(B[U]))continue t;v.push(B[0],B[1],B[2]);var W;W=S?S[Y]:E?E[R]:L,3===W.length?b.push(W[0],W[1],W[2],1):b.push(W[0],W[1],W[2],W[3]);var X;X=C?C[Y]:I?[(I[Y]-P)/(O-P),0]:z?z[R]:D?[(D[R]-P)/(O-P),0]:[(B[2]-P)/(O-P),0],x.push(X[0],X[1]),j?_.push(j[Y]):_.push(N),w.push(R),q+=1;break;case 2:for(var U=0;U<2;++U)for(var Y=G[U],B=n[Y],Z=0;Z<3;++Z)if(isNaN(B[Z])||!isFinite(B[Z]))continue t;for(var U=0;U<2;++U){var Y=G[U],B=n[Y];f.push(B[0],B[1],B[2]);var W;W=S?S[Y]:E?E[R]:L,3===W.length?d.push(W[0],W[1],W[2],1):d.push(W[0],W[1],W[2],W[3]);var X;X=C?C[Y]:I?[(I[Y]-P)/(O-P),0]:z?z[R]:D?[(D[R]-P)/(O-P),0]:[(B[2]-P)/(O-P),0],p.push(X[0],X[1]),m.push(R)}H+=1;break;case 3:for(var U=0;U<3;++U)for(var Y=G[U],B=n[Y],Z=0;Z<3;++Z)if(isNaN(B[Z])||!isFinite(B[Z]))continue t;for(var U=0;U<3;++U){var Y=G[U],B=n[Y];s.push(B[0],B[1],B[2]);var W;W=S?S[Y]:E?E[R]:L,3===W.length?l.push(W[0],W[1],W[2],1):l.push(W[0],W[1],W[2],W[3]);var X;X=C?C[Y]:I?[(I[Y]-P)/(O-P),0]:z?z[R]:D?[(D[R]-P)/(O-P),0]:[(B[2]-P)/(O-P),0],c.push(X[0],X[1]);var J;J=M?M[Y]:k[R],u.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(b),this.pointUVs.update(x),this.pointSizes.update(_),this.pointIds.update(new Uint32Array(w)),this.edgePositions.update(f),this.edgeColors.update(d),this.edgeUVs.update(p),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(s),this.triangleColors.update(l),this.triangleUVs.update(c),this.triangleNormals.update(u),this.triangleIds.update(new Uint32Array(h))}},P.drawTransparent=P.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||D,n=t.view||D,i=t.projection||D,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<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,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};this.texture.bind(0);var l=new Array(16);b(l,s.view,s.model),b(l,s.projection,l),x(l,l);for(var o=0;o<3;++o)s.eyePosition[o]=l[12+o]/l[15];for(var u=l[15],o=0;o<3;++o)u+=this.lightPosition[o]*l[4*o+3];for(var o=0;o<3;++o){for(var c=l[12+o],h=0;h<3;++h)c+=l[4*h+o]*this.lightPosition[h];s.lightPosition[o]=c/u}if(this.triangleCount>0){var f=this.triShader;f.bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}if(this.edgeCount>0&&this.lineWidth>0){var f=this.lineShader;f.bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()}if(this.pointCount>0){var f=this.pointShader;f.bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()}if(this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0){var f=this.contourShader;f.bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind()}},P.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||D,n=t.view||D,i=t.projection||D,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<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,pickId:this.pickId/255},l=this.pickShader;if(l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0){var l=this.pointPickShader;l.bind(),l.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()}},P.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<r.length;++a)i[a]=n[r[a]];var o=T(i,[t.coord[0],this._resolution[1]-t.coord[1]],this._model,this._view,this._projection,this._resolution);if(!o)return null;for(var s=o[2],l=0,a=0;a<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]]]}},P.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=d},{\"./lib/closest-point\":203,\"./lib/shaders\":204,colormap:99,\"gl-buffer\":156,\"gl-mat4/invert\":181,\"gl-mat4/multiply\":183,\"gl-shader\":255,\"gl-texture2d\":267,\"gl-vao\":271,ndarray:467,normals:469,\"simplicial-complex-contour\":517,\"typedarray-pool\":541}],206:[function(t,e,r){\"use strict\";function n(t,e,r){this.plot=t,this.vbo=e,this.shader=r}function i(t){var e=t.gl;return new n(t,a(e,[0,0,0,1,1,0,1,1]),o(e,s.boxVert,s.lineFrag))}e.exports=i;var a=t(\"gl-buffer\"),o=t(\"gl-shader\"),s=t(\"./shaders\"),l=n.prototype;l.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},l.drawBox=function(){var t=[0,0],e=[0,0];return function(r,n,i,a,o){var s=this.plot,l=this.shader,u=s.gl;t[0]=r,t[1]=n,e[0]=i,e[1]=a,l.uniforms.lo=t,l.uniforms.hi=e,l.uniforms.color=o,u.drawArrays(u.TRIANGLE_STRIP,0,4)}}(),l.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":209,\"gl-buffer\":156,\"gl-shader\":212}],207:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function i(t,e){return t-e}function a(t){var e=t.gl;return new n(t,o(e),s(e,u.gridVert,u.gridFrag),s(e,u.tickVert,u.gridFrag))}e.exports=a;var o=t(\"gl-buffer\"),s=t(\"gl-shader\"),l=t(\"binary-search-bounds\"),u=t(\"./shaders\"),c=n.prototype;c.draw=function(){var t=[0,0],e=[0,0],r=[0,0];return function(){for(var n=this.plot,i=this.vbo,a=this.shader,o=this.ticks,s=n.gl,l=n._tickBounds,u=n.dataBox,c=n.viewBox,h=n.gridLineWidth,f=n.gridLineColor,d=n.gridLineEnable,p=n.pixelRatio,m=0;m<2;++m){var v=l[m],g=l[m+2],y=g-v,b=.5*(u[m+2]+u[m]),x=u[m+2]-u[m];e[m]=2*y/x,t[m]=2*(v-b)/x}a.bind(),i.bind(),a.attributes.dataCoord.pointer(),a.uniforms.dataShift=t,a.uniforms.dataScale=e;for(var _=0,m=0;m<2;++m){r[0]=r[1]=0,r[m]=1,a.uniforms.dataAxis=r,a.uniforms.lineWidth=h[m]/(c[m+2]-c[m])*p,a.uniforms.color=f[m];var w=6*o[m].length;d[m]&&w&&s.drawArrays(s.TRIANGLES,_,w),_+=w}}}(),c.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],a=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,h=this.ticks,f=s.gl,d=s._tickBounds,p=s.dataBox,m=s.viewBox,v=s.pixelRatio,g=s.screenBox,y=g[2]-g[0],b=g[3]-g[1],x=m[2]-m[0],_=m[3]-m[1],w=0;w<2;++w){var M=d[w],k=d[w+2],A=k-M,T=.5*(p[w+2]+p[w]),S=p[w+2]-p[w];e[w]=2*A/S,t[w]=2*(M-T)/S}e[0]*=x/y,t[0]*=x/y,e[1]*=_/b,t[1]*=_/b,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var E=c.uniforms;E.dataShift=t,E.dataScale=e;var L=s.tickMarkLength,C=s.tickMarkWidth,I=s.tickMarkColor,z=6*h[0].length,D=Math.min(l.ge(h[0],(p[0]-d[0])/(d[2]-d[0]),i),h[0].length),P=Math.min(l.gt(h[0],(p[2]-d[0])/(d[2]-d[0]),i),h[0].length),O=0+6*D,R=6*Math.max(0,P-D),F=Math.min(l.ge(h[1],(p[1]-d[1])/(d[3]-d[1]),i),h[1].length),j=Math.min(l.gt(h[1],(p[3]-d[1])/(d[3]-d[1]),i),h[1].length),N=z+6*F,B=6*Math.max(0,j-F);a[0]=2*(m[0]-L[1])/y-1,a[1]=(m[3]+m[1])/b-1,o[0]=L[1]*v/y,o[1]=C[1]*v/b,B&&(E.color=I[1],E.tickScale=o,E.dataAxis=n,E.screenOffset=a,f.drawArrays(f.TRIANGLES,N,B)),a[0]=(m[2]+m[0])/y-1,a[1]=2*(m[1]-L[0])/b-1,o[0]=C[0]*v/y,o[1]=L[0]*v/b,R&&(E.color=I[0],E.tickScale=o,E.dataAxis=r,E.screenOffset=a,f.drawArrays(f.TRIANGLES,O,R)),a[0]=2*(m[2]+L[3])/y-1,a[1]=(m[3]+m[1])/b-1,o[0]=L[3]*v/y,o[1]=C[3]*v/b,B&&(E.color=I[3],E.tickScale=o,E.dataAxis=n,E.screenOffset=a,f.drawArrays(f.TRIANGLES,N,B)),a[0]=(m[2]+m[0])/y-1,a[1]=2*(m[3]+L[2])/b-1,o[0]=C[2]*v/y,o[1]=L[2]*v/b,R&&(E.color=I[2],E.tickScale=o,E.dataAxis=r,E.screenOffset=a,f.drawArrays(f.TRIANGLES,O,R))}}(),c.update=function(){var t=[1,1,-1,-1,1,-1],e=[1,-1,1,1,-1,-1];return function(r){for(var n=r.ticks,i=r.bounds,a=new Float32Array(18*(n[0].length+n[1].length)),o=(this.plot.zeroLineEnable,0),s=[[],[]],l=0;l<2;++l)for(var u=s[l],c=n[l],h=i[l],f=i[l+2],d=0;d<c.length;++d){var p=(c[d].x-h)/(f-h);u.push(p);for(var m=0;m<6;++m)a[o++]=p,a[o++]=t[m],a[o++]=e[m]}this.ticks=s,this.vbo.update(a)}}(),c.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":209,\"binary-search-bounds\":211,\"gl-buffer\":156,\"gl-shader\":212}],208:[function(t,e,r){\"use strict\";function n(t,e,r){this.plot=t,this.vbo=e,this.shader=r}function i(t){var e=t.gl;return new n(t,a(e,[-1,-1,-1,1,1,-1,1,1]),o(e,s.lineVert,s.lineFrag))}e.exports=i;var a=t(\"gl-buffer\"),o=t(\"gl-shader\"),s=t(\"./shaders\"),l=n.prototype;l.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},l.drawLine=function(){var t=[0,0],e=[0,0];return function(r,n,i,a,o,s){var l=this.plot,u=this.shader,c=l.gl;t[0]=r,t[1]=n,e[0]=i,e[1]=a,u.uniforms.start=t,u.uniforms.end=e,u.uniforms.width=o*l.pixelRatio,u.uniforms.color=s,c.drawArrays(c.TRIANGLE_STRIP,0,4)}}(),l.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":209,\"gl-buffer\":156,\"gl-shader\":212}],209:[function(t,e,r){\"use strict\";var n=\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\";e.exports={lineVert:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\",lineFrag:n,textVert:\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\",textFrag:n,gridVert:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\",gridFrag:n,boxVert:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\",tickVert:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"}},{}],210:[function(t,e,r){\"use strict\";function n(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}function i(t){var e=t.gl;return new n(t,a(e),o(e,u.textVert,u.textFrag))}e.exports=i;var a=t(\"gl-buffer\"),o=t(\"gl-shader\"),s=t(\"text-cache\"),l=t(\"binary-search-bounds\"),u=t(\"./shaders\"),c=n.prototype;c.drawTicks=function(){var t=[0,0],e=[0,0],r=[0,0];return function(n){var i=this.plot,a=this.shader,o=this.tickX[n],s=this.tickOffset[n],u=i.gl,c=i.viewBox,h=i.dataBox,f=i.screenBox,d=i.pixelRatio,p=i.tickEnable,m=i.tickPad,v=i.tickColor,g=i.tickAngle,y=i.labelEnable,b=i.labelPad,x=i.labelColor,_=i.labelAngle,w=this.labelOffset[n],M=this.labelCount[n],k=l.lt(o,h[n]),A=l.le(o,h[n+2]);t[0]=t[1]=0,t[n]=1,e[n]=(c[2+n]+c[n])/(f[2+n]-f[n])-1;var T=2/f[2+(1^n)]-f[1^n];e[1^n]=T*c[1^n]-1,p[n]&&(e[1^n]-=T*d*m[n],k<A&&s[A]>s[k]&&(a.uniforms.dataAxis=t,a.uniforms.screenOffset=e,a.uniforms.color=v[n],a.uniforms.angle=g[n],u.drawArrays(u.TRIANGLES,s[k],s[A]-s[k]))),y[n]&&M&&(e[1^n]-=T*d*b[n],a.uniforms.dataAxis=r,a.uniforms.screenOffset=e,a.uniforms.color=x[n],a.uniforms.angle=_[n],u.drawArrays(u.TRIANGLES,w,M)),e[1^n]=T*c[2+(1^n)]-1,p[n+2]&&(e[1^n]+=T*d*m[n+2],k<A&&s[A]>s[k]&&(a.uniforms.dataAxis=t,a.uniforms.screenOffset=e,a.uniforms.color=v[n+2],a.uniforms.angle=g[n+2],u.drawArrays(u.TRIANGLES,s[k],s[A]-s[k]))),y[n+2]&&M&&(e[1^n]+=T*d*b[n+2],a.uniforms.dataAxis=r,a.uniforms.screenOffset=e,a.uniforms.color=x[n+2],a.uniforms.angle=_[n+2],u.drawArrays(u.TRIANGLES,w,M))}}(),c.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),c.bind=function(){var t=[0,0],e=[0,0],r=[0,0];return function(){var n=this.plot,i=this.shader,a=n._tickBounds,o=n.dataBox,s=n.screenBox,l=n.viewBox;i.bind();for(var u=0;u<2;++u){var c=a[u],h=a[u+2],f=h-c,d=.5*(o[u+2]+o[u]),p=o[u+2]-o[u],m=l[u],v=l[u+2],g=v-m,y=s[u],b=s[u+2],x=b-y;e[u]=2*f/p*g/x,t[u]=2*(c-d)/p*g/x}r[1]=2*n.pixelRatio/(s[3]-s[1]),r[0]=r[1]*(s[3]-s[1])/(s[2]-s[0]),i.uniforms.dataScale=e,i.uniforms.dataShift=t,i.uniforms.textScale=r,this.vbo.bind(),i.attributes.textCoordinate.pointer()}}(),c.update=function(t){var e,r,n,i,a,o=[],l=t.ticks,u=t.bounds;for(a=0;a<2;++a){var c=[Math.floor(o.length/3)],h=[-1/0],f=l[a];for(e=0;e<f.length;++e){var d=f[e],p=d.x,m=d.text,v=d.font||\"sans-serif\";i=d.fontSize||12;for(var g=1/(u[a+2]-u[a]),y=u[a],b=m.split(\"\\n\"),x=0;x<b.length;x++)for(n=s(v,b[x]).data,r=0;r<n.length;r+=2)o.push(n[r]*i,-n[r+1]*i-x*i*1.2,(p-y)*g);c.push(Math.floor(o.length/3)),h.push(p)}this.tickOffset[a]=c,this.tickX[a]=h}for(a=0;a<2;++a){for(this.labelOffset[a]=Math.floor(o.length/3),n=s(t.labelFont[a],t.labels[a],{textAlign:\"center\"}).data,\n",
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o=t(\"./lib/create-uniforms\"),s=t(\"./lib/create-attributes\"),l=t(\"./lib/reflect\"),u=t(\"./lib/shader-cache\"),c=t(\"./lib/runtime-reflect\"),h=t(\"./lib/GLError\"),f=n.prototype;f.bind=function(){this.program||this._relink();var t,e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},f.dispose=function(){for(var t=this.gl.lastAttribCount,e=0;e<t;e++)this.gl.disableVertexAttribArray(e);this.gl.lastAttribCount=0,this._fref&&this._fref.dispose(),this._vref&&this._vref.dispose(),this.attributes=this.types=this.vertShader=this.fragShader=this.program=this._relink=this._fref=this._vref=null},f.update=function(t,e,r,n){function a(){d.program=u.program(p,d._vref,d._fref,_,w);for(var t=0;t<r.length;++t)E[t]=p.getUniformLocation(d.program,r[t].name)}if(!e||1===arguments.length){var f=t;t=f.vertex,e=f.fragment,r=f.uniforms,n=f.attributes}var d=this,p=d.gl,m=d._vref;d._vref=u.shader(p,p.VERTEX_SHADER,t),m&&m.dispose(),d.vertShader=d._vref.shader;var v=this._fref;if(d._fref=u.shader(p,p.FRAGMENT_SHADER,e),v&&v.dispose(),d.fragShader=d._fref.shader,!r||!n){var g=p.createProgram();if(p.attachShader(g,d.fragShader),p.attachShader(g,d.vertShader),p.linkProgram(g),!p.getProgramParameter(g,p.LINK_STATUS)){var y=p.getProgramInfoLog(g);throw new h(y,\"Error linking program:\"+y)}r=r||c.uniforms(p,g),n=n||c.attributes(p,g),p.deleteProgram(g)}n=n.slice(),n.sort(i);var b,x=[],_=[],w=[];for(b=0;b<n.length;++b){var M=n[b];if(M.type.indexOf(\"mat\")>=0){for(var k=0|M.type.charAt(M.type.length-1),A=new Array(k),T=0;T<k;++T)A[T]=w.length,_.push(M.name+\"[\"+T+\"]\"),\"number\"==typeof M.location?w.push(M.location+T):Array.isArray(M.location)&&M.location.length===k&&\"number\"==typeof M.location[T]?w.push(0|M.location[T]):w.push(-1);x.push({name:M.name,type:M.type,locations:A})}else x.push({name:M.name,type:M.type,locations:[w.length]}),_.push(M.name),\"number\"==typeof M.location?w.push(0|M.location):w.push(-1)}var S=0;for(b=0;b<w.length;++b)if(w[b]<0){for(;w.indexOf(S)>=0;)S+=1;w[b]=S}var E=new Array(r.length);a(),d._relink=a,d.types={uniforms:l(r),attributes:l(n)},d.attributes=s(p,d,x,w),Object.defineProperty(d,\"uniforms\",o(p,d,r,E))},e.exports=a},{\"./lib/GLError\":213,\"./lib/create-attributes\":214,\"./lib/create-uniforms\":215,\"./lib/reflect\":216,\"./lib/runtime-reflect\":217,\"./lib/shader-cache\":218}],213:[function(t,e,r){function n(t,e,r){this.shortMessage=e||\"\",this.longMessage=r||\"\",this.rawError=t||\"\",this.message=\"gl-shader: \"+(e||t||\"\")+(r?\"\\n\"+r:\"\"),this.stack=(new Error).stack}n.prototype=new Error,n.prototype.name=\"GLError\",n.prototype.constructor=n,e.exports=n},{}],214:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a){this._gl=t,this._wrapper=e,this._index=r,this._locations=n,this._dimension=i,this._constFunc=a}function i(t,e,r,i,a,o,s){for(var l=[\"gl\",\"v\"],u=[],c=0;c<a;++c)l.push(\"x\"+c),u.push(\"x\"+c);l.push(\"if(x0.length===void 0){return gl.vertexAttrib\"+a+\"f(v,\"+u.join()+\")}else{return gl.vertexAttrib\"+a+\"fv(v,x0)}\");var h=Function.apply(null,l),f=new n(t,e,r,i,a,h);Object.defineProperty(o,s,{set:function(e){return t.disableVertexAttribArray(i[r]),h(t,i[r],e),e},get:function(){return f},enumerable:!0})}function a(t,e,r,n,a,o,s){for(var l=new Array(a),u=new Array(a),c=0;c<a;++c)i(t,e,r[c],n,a,l,c),u[c]=l[c];Object.defineProperty(l,\"location\",{set:function(t){if(Array.isArray(t))for(var e=0;e<a;++e)u[e].location=t[e];else for(var e=0;e<a;++e)u[e].location=t+e;return t},get:function(){for(var t=new Array(a),e=0;e<a;++e)t[e]=n[r[e]];return t},enumerable:!0}),l.pointer=function(e,i,o,s){e=e||t.FLOAT,i=!!i,o=o||a*a,s=s||0;for(var l=0;l<a;++l){var u=n[r[l]];t.vertexAttribPointer(u,a,e,i,o,s+l*a),t.enableVertexAttribArray(u)}};var h=new Array(a),f=t[\"vertexAttrib\"+a+\"fv\"];Object.defineProperty(o,s,{set:function(e){for(var i=0;i<a;++i){var o=n[r[i]];if(t.disableVertexAttribArray(o),Array.isArray(e[0]))f.call(t,o,e[i]);else{for(var s=0;s<a;++s)h[s]=e[a*i+s];f.call(t,o,h)}}return e},get:function(){return l},enumerable:!0})}function o(t,e,r,n){for(var o={},l=0,u=r.length;l<u;++l){var c=r[l],h=c.name,f=c.type,d=c.locations;switch(f){case\"bool\":case\"int\":case\"float\":i(t,e,d[0],n,1,o,h);break;default:if(f.indexOf(\"vec\")>=0){var p=f.charCodeAt(f.length-1)-48;if(p<2||p>4)throw new s(\"\",\"Invalid data type for attribute \"+h+\": \"+f);i(t,e,d[0],n,p,o,h)}else{if(!(f.indexOf(\"mat\")>=0))throw new s(\"\",\"Unknown data type for attribute \"+h+\": \"+f);var p=f.charCodeAt(f.length-1)-48;if(p<2||p>4)throw new s(\"\",\"Invalid data type for attribute \"+h+\": \"+f);a(t,e,d,n,p,o,h)}}}return o}e.exports=o;var 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t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT),t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,d=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var p=0;p<2;++p)if(h[p]&&n[p]<=0&&n[p+2]>=0){var m=e[p]-n[p]*(e[p+2]-e[p])/(n[p+2]-n[p]);0===p?o.drawLine(m,e[1],m,e[3],d[p],f[p]):o.drawLine(e[0],m,e[2],m,d[p],f[p])}}for(var p=0;p<l.length;++p)l[p].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var v=this.borderLineEnable,g=this.borderLineWidth,y=this.borderLineColor;v[1]&&o.drawLine(r[0],r[1]-.5*g[1]*i,r[0],r[3]+.5*g[3]*i,g[1],y[1]),v[0]&&o.drawLine(r[0]-.5*g[0]*i,r[1],r[2]+.5*g[2]*i,r[1],g[0],y[0]),v[3]&&o.drawLine(r[2],r[1]-.5*g[1]*i,r[2],r[3]+.5*g[3]*i,g[3],y[3]),v[2]&&o.drawLine(r[0]-.5*g[0]*i,r[3],r[2]+.5*g[2]*i,r[3],g[2],y[2]),s.bind();for(var p=0;p<2;++p)s.drawTicks(p);this.titleEnable&&s.drawTitle();for(var b=this.overlays,p=0;p<b.length;++p)b[p].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}}}(),f.drawPick=function(){return function(){if(!this.static){var t=this.pickBuffer;this.gl;this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}}}(),f.pick=function(){return function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),u=this.objects,c=0;c<u.length;++c){var h=u[c].pick(a,o,l);if(h)return h}return null}}}(),f.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},f.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},f.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},f.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,o=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/o,10,10/o]),this.borderColor=(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=i(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=i(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=i(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t&&!t.titleEnable),this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=i(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=i(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=i(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var s=t.ticks||[[],[]],l=this._tickBounds;l[0]=l[1]=1/0,l[2]=l[3]=-1/0;for(var u=0;u<2;++u){var c=s[u].slice(0);0!==c.length&&(c.sort(a),l[u]=Math.min(l[u],c[0].x),l[u+2]=Math.max(l[u+2],c[c.length-1].x))}this.grid.update({bounds:l,ticks:s}),this.text.update({bounds:l,ticks:s,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},f.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(var t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},f.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},f.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},f.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},f.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":206,\"./lib/grid\":207,\"./lib/line\":208,\"./lib/text\":210,\"gl-select-static\":254}],220:[function(t,e,r){var n=t(\"gl-shader\");e.exports=function(t){return n(t,\"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}\",\"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}\",null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":255}],221:[function(t,e,r){\"use 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t=O.length,e=j.length,r=0;r<e;++r)F[r]=0;t:for(var r=0;r<t;++r){var n=O[r],i=n.pickSlots;if(i){for(var a=0;a<e;++a)if(F[a]+i<255){R[r]=a,n.setPickBase(F[a]+1),F[a]+=i;continue t}var o=f(A,q);R[r]=e,j.push(o),F.push(i),n.setPickBase(1),e+=1}else R[r]=-1}for(;e>0&&0===F[e-1];)F.pop(),j.pop().dispose()}function s(){if(G.contextLost)return!0;A.isContextLost()&&(G.contextLost=!0,G.mouseListener.enabled=!1,G.selection.object=null,G.oncontextloss&&G.oncontextloss())}function b(){if(!s()){A.colorMask(!0,!0,!0,!0),A.depthMask(!0),A.disable(A.BLEND),A.enable(A.DEPTH_TEST);for(var t=O.length,e=j.length,r=0;r<e;++r){var n=j[r];n.shape=Y,n.begin();for(var i=0;i<t;++i)if(R[i]===r){var a=O[i];a.drawPick&&(a.pixelRatio=1,a.drawPick(H))}n.end()}}}function x(){if(!s()){e();var t=G.camera.tick();H.view=G.camera.matrix,N=N||t,B=B||t,z.pixelRatio=G.pixelRatio,P.pixelRatio=G.pixelRatio;var r=O.length,n=Z[0],i=Z[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<r;++o){var l=O[o];l.pixelRatio=G.pixelRatio,l.axes=G.axes,N=N||!!l.dirty,B=B||!!l.dirty;var u=l.bounds;if(u)for(var h=u[0],f=u[1],d=0;d<3;++d)n[d]=Math.min(n[d],h[d]),i[d]=Math.max(i[d],f[d])}var m=G.bounds;if(G.autoBounds)for(var d=0;d<3;++d){if(i[d]<n[d])n[d]=-1,i[d]=1;else{n[d]===i[d]&&(n[d]-=1,i[d]+=1);var g=.05*(i[d]-n[d]);n[d]=n[d]-g,i[d]=i[d]+g}m[0][d]=n[d],m[1][d]=i[d]}for(var y=!1,d=0;d<3;++d)y=y||J[0][d]!==m[0][d]||J[1][d]!==m[1][d],J[0][d]=m[0][d],J[1][d]=m[1][d];if(B=B||y,N=N||y){if(y){for(var x=[0,0,0],o=0;o<3;++o)x[o]=a((m[1][o]-m[0][o])/10);z.autoTicks?z.update({bounds:m,tickSpacing:x}):z.update({bounds:m})}var _=A.drawingBufferWidth,w=A.drawingBufferHeight;q[0]=_,q[1]=w,Y[0]=0|Math.max(_/G.pixelRatio,1),Y[1]=0|Math.max(w/G.pixelRatio,1),v(U,G.fovy,_/w,G.zNear,G.zFar);for(var o=0;o<16;++o)V[o]=0;V[15]=1;for(var M=0,o=0;o<3;++o)M=Math.max(M,m[1][o]-m[0][o]);for(var o=0;o<3;++o)G.autoScale?V[5*o]=G.aspect[o]/(m[1][o]-m[0][o]):V[5*o]=1/M,G.autoCenter&&(V[12+o]=.5*-V[5*o]*(m[0][o]+m[1][o]));for(var o=0;o<r;++o){var l=O[o];l.axesBounds=m,G.clipToBounds&&(l.clipBounds=m)}S.object&&(G.snapToData?P.position=S.dataCoordinate:P.position=S.dataPosition,P.bounds=m),B&&(B=!1,b()),G.axesPixels=c(G.axes,H,_,w),G.onrender&&G.onrender(),A.bindFramebuffer(A.FRAMEBUFFER,null),A.viewport(0,0,_,w);var k=G.clearColor;A.clearColor(k[0],k[1],k[2],k[3]),A.clear(A.COLOR_BUFFER_BIT|A.DEPTH_BUFFER_BIT),A.depthMask(!0),A.colorMask(!0,!0,!0,!0),A.enable(A.DEPTH_TEST),A.depthFunc(A.LEQUAL),A.disable(A.BLEND),A.disable(A.CULL_FACE);var T=!1;z.enable&&(T=T||z.isTransparent(),z.draw(H)),P.axes=z,S.object&&P.draw(H),A.disable(A.CULL_FACE);for(var o=0;o<r;++o){var l=O[o];l.axes=z,l.pixelRatio=G.pixelRatio,l.isOpaque&&l.isOpaque()&&l.draw(H),l.isTransparent&&l.isTransparent()&&(T=!0)}if(T){E.shape=q,E.bind(),A.clear(A.DEPTH_BUFFER_BIT),A.colorMask(!1,!1,!1,!1),A.depthMask(!0),A.depthFunc(A.LESS),z.enable&&z.isTransparent()&&z.drawTransparent(H);for(var o=0;o<r;++o){var l=O[o];l.isOpaque&&l.isOpaque()&&l.draw(H)}A.enable(A.BLEND),A.blendEquation(A.FUNC_ADD),A.blendFunc(A.ONE,A.ONE_MINUS_SRC_ALPHA),A.colorMask(!0,!0,!0,!0),A.depthMask(!1),A.clearColor(0,0,0,0),A.clear(A.COLOR_BUFFER_BIT),z.isTransparent()&&z.drawTransparent(H);for(var o=0;o<r;++o){var l=O[o];l.isTransparent&&l.isTransparent()&&l.drawTransparent(H)}A.bindFramebuffer(A.FRAMEBUFFER,null),A.blendFunc(A.ONE,A.ONE_MINUS_SRC_ALPHA),A.disable(A.DEPTH_TEST),L.bind(),E.color[0].bind(0),L.uniforms.accumBuffer=0,p(A),A.disable(A.BLEND)}N=!1;for(var o=0;o<r;++o)O[o].dirty=!1}}}function _(){w||G.contextLost||(requestAnimationFrame(_),x())}t=t||{};var w=!1,M=(t.pixelRatio||parseFloat(window.devicePixelRatio),t.canvas);if(!M)if(M=document.createElement(\"canvas\"),t.container){var k=t.container;k.appendChild(M)}else document.body.appendChild(M);var A=t.gl;if(A||(A=i(M,t.glOptions||{premultipliedAlpha:!0,antialias:!0})),!A)throw new Error(\"webgl not supported\");var T=t.bounds||[[-10,-10,-10],[10,10,10]],S=new n,E=d(A,[A.drawingBufferWidth,A.drawingBufferHeight],{preferFloat:!y}),L=g(A),C=t.camera||{eye:[2,0,0],center:[0,0,0],up:[0,1,0],zoomMin:.1,zoomMax:100,mode:\"turntable\"},I=t.axes||{},z=u(A,I);z.enable=!I.disable;var D=t.spikes||{},P=h(A,D),O=[],R=[],F=[],j=[],N=!0,B=!0,U=new Array(16),V=new Array(16),H={view:null,projection:U,model:V},B=!0,q=[A.drawingBufferWidth,A.drawingBufferHeight],G={gl:A,contextLost:!1,pixelRatio:t.pixelRatio||parseFloat(window.devicePixelRatio),canvas:M,selection:S,camera:l(M,C),axes:z,axesPixels:null,spikes:P,bounds:T,objects:O,shape:q,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:o(t.autoResize),autoBounds:o(t.autoBounds),autoScale:!!t.autoScale,autoCenter:o(t.autoCenter),clipToBounds:o(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:H,oncontextloss:null,mouseListener:null},Y=[A.drawingBufferWidth/G.pixelRatio|0,A.drawingBufferHeight/G.pixelRatio|0];G.autoResize&&e(),window.addEventListener(\"resize\",e),G.update=function(t){w||(t=t||{},N=!0,B=!0)},G.add=function(t){w||(t.axes=z,O.push(t),R.push(-1),N=!0,B=!0,r())},G.remove=function(t){if(!w){var e=O.indexOf(t);e<0||(O.splice(e,1),R.pop(),N=!0,B=!0,r())}},G.dispose=function(){if(!w&&(w=!0,window.removeEventListener(\"resize\",e),M.removeEventListener(\"webglcontextlost\",s),G.mouseListener.enabled=!1,!G.contextLost)){z.dispose(),P.dispose();for(var t=0;t<O.length;++t)O[t].dispose();E.dispose();for(var t=0;t<j.length;++t)j[t].dispose();L.dispose(),A=null,z=null,P=null,O=[]}};var W=!1,X=0;G.mouseListener=m(M,function(t,e,r){if(!w){var n=j.length,i=O.length,a=S.object;S.distance=1/0,S.mouse[0]=e,S.mouse[1]=r,S.object=null,S.screen=null,S.dataCoordinate=S.dataPosition=null;var o=!1;if(t&&X)W=!0;else{W&&(B=!0),W=!1;for(var s=0;s<n;++s){var l=j[s].query(e,Y[1]-r-1,G.pickRadius);if(l){if(l.distance>S.distance)continue;for(var u=0;u<i;++u){var c=O[u];if(R[u]===s){var h=c.pick(l);h&&(S.buttons=t,S.screen=l.coord,S.distance=l.distance,S.object=c,S.index=h.distance,S.dataPosition=h.position,S.dataCoordinate=h.dataCoordinate,S.data=h,o=!0)}}}}}a&&a!==S.object&&(a.highlight&&a.highlight(null),N=!0),S.object&&(S.object.highlight&&S.object.highlight(S.data),N=!0),o=o||S.object!==a,o&&G.onselect&&G.onselect(S),1&t&&!(1&X)&&G.onclick&&G.onclick(S),X=t}}),M.addEventListener(\"webglcontextlost\",s);var Z=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],J=[Z[0].slice(),Z[1].slice()];return _(),G.redraw=function(){w||(N=!0,x())},G}e.exports=s;var l=t(\"3d-view-controls\"),u=t(\"gl-axes3d\"),c=t(\"gl-axes3d/properties\"),h=t(\"gl-spikes3d\"),f=t(\"gl-select-static\"),d=t(\"gl-fbo\"),p=t(\"a-big-triangle\"),m=t(\"mouse-change\"),v=t(\"gl-mat4/perspective\"),g=t(\"./lib/shader\"),y=t(\"is-mobile\")()},{\"./lib/shader\":220,\"3d-view-controls\":36,\"a-big-triangle\":39,\"gl-axes3d\":148,\"gl-axes3d/properties\":155,\"gl-fbo\":164,\"gl-mat4/perspective\":184,\"gl-select-static\":254,\"gl-spikes3d\":264,\"is-mobile\":296,\"mouse-change\":452}],222:[function(t,e,r){r.pointVertex=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\",r.pointFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\",r.pickVertex=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\",r.pickFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"},{}],223:[function(t,e,r){arguments[4][212][0].apply(r,arguments)},{\"./lib/GLError\":224,\"./lib/create-attributes\":225,\"./lib/create-uniforms\":226,\"./lib/reflect\":227,\"./lib/runtime-reflect\":228,\"./lib/shader-cache\":229,dup:212}],224:[function(t,e,r){arguments[4][213][0].apply(r,arguments)},{dup:213}],225:[function(t,e,r){arguments[4][214][0].apply(r,arguments)},{\n",
       "\"./GLError\":224,dup:214}],226:[function(t,e,r){arguments[4][215][0].apply(r,arguments)},{\"./GLError\":224,\"./reflect\":227,dup:215}],227:[function(t,e,r){arguments[4][216][0].apply(r,arguments)},{dup:216}],228:[function(t,e,r){arguments[4][217][0].apply(r,arguments)},{dup:217}],229:[function(t,e,r){arguments[4][218][0].apply(r,arguments)},{\"./GLError\":224,dup:218,\"gl-format-compiler-error\":165,\"weakmap-shim\":562}],230:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}function i(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}function a(t,e){var r=t.gl,i=s(r),a=s(r),l=o(r,u.pointVertex,u.pointFragment),c=o(r,u.pickVertex,u.pickFragment),h=new n(t,i,a,l,c);return h.update(e),t.addObject(h),h}var o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"typedarray-pool\"),u=t(\"./lib/shader\");e.exports=a;var c=n.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){function e(e,r){return e in t?t[e]:r}var r;t=t||{},this.sizeMin=e(\"sizeMin\",.5),this.sizeMax=e(\"sizeMax\",20),this.color=e(\"color\",[1,0,0,1]).slice(),this.areaRatio=e(\"areaRatio\",1),this.borderColor=e(\"borderColor\",[0,0,0,1]).slice(),this.blend=e(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,a=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,o=t.positions,s=i?o:l.mallocFloat32(o.length),u=a?t.idToIndex:l.mallocInt32(n);if(i||s.set(o),!a)for(s.set(o),r=0;r<n;r++)u[r]=r;this.points=o,this.offsetBuffer.update(s),this.pickBuffer.update(u),i||l.free(s),a||l.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=void 0!==r,a=n?this.pickShader:this.shader,o=this.plot.gl,s=this.plot.dataBox;if(0===this.pointCount)return r;var l=s[2]-s[0],u=s[3]-s[1],c=i(this.points,s),h=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(c,.33333)));t[0]=2/l,t[4]=2/u,t[6]=-2*s[0]/l-1,t[7]=-2*s[1]/u-1,this.offsetBuffer.bind(),a.bind(),a.attributes.position.pointer(),a.uniforms.matrix=t,a.uniforms.color=this.color,a.uniforms.borderColor=this.borderColor,a.uniforms.pointCloud=h<5,a.uniforms.pointSize=h,a.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),n&&(e[0]=255&r,e[1]=r>>8&255,e[2]=r>>16&255,e[3]=r>>24&255,this.pickBuffer.bind(),a.attributes.pickId.pointer(o.UNSIGNED_BYTE),a.uniforms.pickOffset=e,this.pickOffset=r);var f=o.getParameter(o.BLEND),d=o.getParameter(o.DITHER);return f&&!this.blend&&o.disable(o.BLEND),d&&o.disable(o.DITHER),o.drawArrays(o.POINTS,0,this.pointCount),f&&!this.blend&&o.enable(o.BLEND),d&&o.enable(o.DITHER),r+this.pointCount}}(),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":222,\"gl-buffer\":156,\"gl-shader\":223,\"typedarray-pool\":541}],231:[function(t,e,r){function n(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],h=e[2],f=e[3],d=r[0],p=r[1],m=r[2],v=r[3];return a=u*d+c*p+h*m+f*v,a<0&&(a=-a,d=-d,p=-p,m=-m,v=-v),1-a>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),t[0]=s*u+l*d,t[1]=s*c+l*p,t[2]=s*h+l*m,t[3]=s*f+l*v,t}e.exports=n},{}],232:[function(t,e,r){\"use strict\";e.exports={vertex:\"precision highp float;\\n#define GLSLIFY 1\\n\\n\\nvec4 computePosition_1_0(vec2 posHi, vec2 posLo, vec2 scHi, vec2 scLo, vec2 trHi, vec2 trLo) {\\n  return vec4((posHi + trHi) * scHi\\n  \\t\\t\\t//FIXME: this thingy does not give noticeable precision gain, need test\\n            + (posLo + trLo) * scHi\\n            + (posHi + trHi) * scLo\\n            + (posLo + trLo) * scLo\\n            , 0, 1);\\n}\\n\\n\\nattribute vec2 positionHi, positionLo;\\nattribute float size, border;\\nattribute vec2 char, color;\\n\\n//this is 64-bit form of scale and translate\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform float pixelRatio;\\nuniform vec4 viewBox;\\nuniform sampler2D palette;\\n\\nvarying vec4 charColor, borderColor;\\nvarying vec2 charId;\\nvarying vec2 pointCoord;\\nvarying float pointSize;\\nvarying float borderWidth;\\n\\n\\nvoid main() {\\n  charColor = texture2D(palette, vec2(color.x / 255., 0));\\n  borderColor = texture2D(palette, vec2(color.y / 255., 0));\\n\\n  gl_PointSize = size * pixelRatio;\\n  pointSize = size * pixelRatio;\\n\\n  charId = char;\\n  borderWidth = border;\\n\\n  gl_Position = computePosition_1_0(\\n    positionHi, positionLo,\\n    scaleHi, scaleLo,\\n    translateHi, translateLo);\\n\\n  pointCoord = viewBox.xy + (viewBox.zw - viewBox.xy) * (gl_Position.xy * .5 + .5);\\n}\\n\",fragment:\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D chars;\\nuniform vec2 charsShape;\\nuniform float charsStep, pixelRatio, charOffset;\\n\\nvarying vec4 borderColor;\\nvarying vec4 charColor;\\nvarying vec2 charId;\\nvarying vec2 pointCoord;\\nvarying float pointSize;\\nvarying float borderWidth;\\n\\nvoid main() {\\n\\tvec2 pointUV = (pointCoord - gl_FragCoord.xy + pointSize * .5) / pointSize;\\n\\tpointUV.x = 1. - pointUV.x;\\n\\tvec2 texCoord = ((charId + pointUV) * charsStep) / charsShape;\\n\\tfloat dist = texture2D(chars, texCoord).r;\\n\\n\\t//max-distance alpha\\n\\tif (dist < 1e-2)\\n\\t\\tdiscard;\\n\\n\\tfloat gamma = .0045 * charsStep / pointSize;\\n\\n    //null-border case\\n \\tif (borderWidth * borderColor.a == 0.) {\\n\\t\\tfloat charAmt = smoothstep(.748 - gamma, .748 + gamma, dist);\\n\\t\\tgl_FragColor = vec4(charColor.rgb, charAmt*charColor.a);\\n\\t\\treturn;\\n\\t}\\n\\n\\tfloat dif = 5. * pixelRatio * borderWidth / pointSize;\\n\\tfloat borderLevel = .748 - dif * .5;\\n\\tfloat charLevel = .748 + dif * .5;\\n\\n\\tfloat borderAmt = smoothstep(borderLevel - gamma, borderLevel + gamma, dist);\\n\\tfloat charAmt = smoothstep(charLevel - gamma, charLevel + gamma, dist);\\n\\n\\tvec4 color = borderColor;\\n\\tcolor.a *= borderAmt;\\n\\n\\tgl_FragColor = mix(color, charColor, charAmt);\\n}\\n\",pickVertex:\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 positionHi, positionLo;\\nattribute vec4 id;\\nattribute float size;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform vec4 pickOffset;\\nuniform float pixelRatio;\\n\\nvarying vec4 fragColor;\\n\\n\\nvec4 computePosition_1_0(vec2 posHi, vec2 posLo, vec2 scHi, vec2 scLo, vec2 trHi, vec2 trLo) {\\n  return vec4((posHi + trHi) * scHi\\n  \\t\\t\\t//FIXME: this thingy does not give noticeable precision gain, need test\\n            + (posLo + trLo) * scHi\\n            + (posHi + trHi) * scLo\\n            + (posLo + trLo) * scLo\\n            , 0, 1);\\n}\\n\\n\\nvoid main() {\\n  vec4 fragId = id + pickOffset;\\n\\n  fragId.y += floor(fragId.x / 256.0);\\n  fragId.x -= floor(fragId.x / 256.0) * 256.0;\\n\\n  fragId.z += floor(fragId.y / 256.0);\\n  fragId.y -= floor(fragId.y / 256.0) * 256.0;\\n\\n  fragId.w += floor(fragId.z / 256.0);\\n  fragId.z -= floor(fragId.z / 256.0) * 256.0;\\n\\n  fragColor = fragId / 255.0;\\n\\n  gl_PointSize = size * .25 * pixelRatio;\\n\\n  gl_Position = computePosition_1_0(\\n    positionHi, positionLo,\\n    scaleHi, scaleLo,\\n    translateHi, translateLo);\\n}\\n\",pickFragment:\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = fragColor;\\n}\\n\"}},{}],233:[function(t,e,r){arguments[4][84][0].apply(r,arguments)},{dup:84}],234:[function(t,e,r){arguments[4][212][0].apply(r,arguments)},{\"./lib/GLError\":235,\"./lib/create-attributes\":236,\"./lib/create-uniforms\":237,\"./lib/reflect\":238,\"./lib/runtime-reflect\":239,\"./lib/shader-cache\":240,dup:212}],235:[function(t,e,r){arguments[4][213][0].apply(r,arguments)},{dup:213}],236:[function(t,e,r){arguments[4][214][0].apply(r,arguments)},{\"./GLError\":235,dup:214}],237:[function(t,e,r){arguments[4][215][0].apply(r,arguments)},{\"./GLError\":235,\"./reflect\":238,dup:215}],238:[function(t,e,r){arguments[4][216][0].apply(r,arguments)},{dup:216}],239:[function(t,e,r){arguments[4][217][0].apply(r,arguments)},{dup:217}],240:[function(t,e,r){arguments[4][218][0].apply(r,arguments)},{\"./GLError\":235,dup:218,\"gl-format-compiler-error\":165,\"weakmap-shim\":562}],241:[function(t,e,r){\"use strict\";function n(t,e,r,n,a){a<=4*f?i(0,a-1,t,e,r,n):h(0,a-1,t,e,r,n)}function i(t,e,r,n,i,a){for(var o=t+1;o<=e;++o){for(var s=r[o],l=n[2*o],u=n[2*o+1],c=i[o],h=a[o],f=o;f>t;){var d=r[f-1],p=n[2*(f-1)];if((d-s||l-p)>=0)break;r[f]=d,n[2*f]=p,n[2*f+1]=n[2*f-1],i[f]=i[f-1],a[f]=a[f-1],f-=1}r[f]=s,n[2*f]=l,n[2*f+1]=u,i[f]=c,a[f]=h}}function a(t,e,r,n,i,a){var o=r[t],s=n[2*t],l=n[2*t+1],u=i[t],c=a[t];r[t]=r[e],n[2*t]=n[2*e],n[2*t+1]=n[2*e+1],i[t]=i[e],a[t]=a[e],r[e]=o,n[2*e]=s,n[2*e+1]=l,i[e]=u,a[e]=c}function o(t,e,r,n,i,a){r[t]=r[e],n[2*t]=n[2*e],n[2*t+1]=n[2*e+1],i[t]=i[e],a[t]=a[e]}function s(t,e,r,n,i,a,o){var s=n[t],l=i[2*t],u=i[2*t+1],c=a[t],h=o[t];n[t]=n[e],i[2*t]=i[2*e],i[2*t+1]=i[2*e+1],a[t]=a[e],o[t]=o[e],n[e]=n[r],i[2*e]=i[2*r],i[2*e+1]=i[2*r+1],a[e]=a[r],o[e]=o[r],n[r]=s,i[2*r]=l,i[2*r+1]=u,a[r]=c,o[r]=h}function l(t,e,r,n,i,a,o,s,l,u,c){s[t]=s[e],l[2*t]=l[2*e],l[2*t+1]=l[2*e+1],u[t]=u[e],c[t]=c[e],s[e]=r,l[2*e]=n,l[2*e+1]=i,u[e]=a,c[e]=o}function u(t,e,r,n,i){return(r[t]-r[e]||n[2*e]-n[2*t]||i[t]-i[e])<0}function c(t,e,r,n,i,a,o,s){return(e-a[t]||o[2*t]-r||i-s[t])<0}function h(t,e,r,n,d,p){var m=(e-t+1)/6|0,v=t+m,g=e-m,y=t+e>>1,b=y-m,x=y+m,_=v,w=b,M=y,k=x,A=g,T=t+1,S=e-1,E=0;u(_,w,r,n,d,p)&&(E=_,_=w,w=E),u(k,A,r,n,d,p)&&(E=k,k=A,A=E),u(_,M,r,n,d,p)&&(E=_,_=M,M=E),u(w,M,r,n,d,p)&&(E=w,w=M,M=E),u(_,k,r,n,d,p)&&(E=_,_=k,k=E),u(M,k,r,n,d,p)&&(E=M,M=k,k=E),u(w,A,r,n,d,p)&&(E=w,w=A,A=E),u(w,M,r,n,d,p)&&(E=w,w=M,M=E),u(k,A,r,n,d,p)&&(E=k,k=A,A=E);var L=r[w],C=n[2*w],I=n[2*w+1],z=d[w],D=p[w],P=r[k],O=n[2*k],R=n[2*k+1],F=d[k],j=p[k],N=_,B=M,U=A,V=v,H=y,q=g,G=r[N],Y=r[B],W=r[U];r[V]=G,r[H]=Y,r[q]=W;for(var X=0;X<2;++X){var Z=n[2*N+X],J=n[2*B+X],K=n[2*U+X];n[2*V+X]=Z,n[2*H+X]=J,n[2*q+X]=K}var Q=d[N],$=d[B],tt=d[U];d[V]=Q,d[H]=$,d[q]=tt;var et=p[N],rt=p[B],nt=p[U];p[V]=et,p[H]=rt,p[q]=nt,o(b,t,r,n,d,p),o(x,e,r,n,d,p);for(var it=T;it<=S;++it)if(c(it,L,C,I,z,r,n,d))it!==T&&a(it,T,r,n,d,p),++T;else if(!c(it,P,O,R,F,r,n,d))for(;;){if(c(S,P,O,R,F,r,n,d)){c(S,L,C,I,z,r,n,d)?(s(it,T,S,r,n,d,p),++T,--S):(a(it,S,r,n,d,p),--S);break}if(--S<it)break}l(t,T-1,L,C,I,z,D,r,n,d,p),l(e,S+1,P,O,R,F,j,r,n,d,p),T-2-t<=f?i(t,T-2,r,n,d,p):h(t,T-2,r,n,d,p),e-(S+2)<=f?i(S+2,e,r,n,d,p):h(S+2,e,r,n,d,p),S-T<=f?i(T,S,r,n,d,p):h(T,S,r,n,d,p)}e.exports=n;var f=32},{}],242:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s){for(var l=r,u=r;u<n;++u){var c=t[2*u],h=t[2*u+1],f=e[u];i<=c&&c<=o&&a<=h&&h<=s&&(u===l?l+=1:(t[2*u]=t[2*l],t[2*u+1]=t[2*l+1],e[u]=e[l],t[2*l]=c,t[2*l+1]=h,e[l]=f,l+=1))}return l}function i(t,e,r){this.pixelSize=t,this.offset=e,this.count=r}function a(t,e,r,a){function l(i,a,o,s,u,c){var h=.5*o,f=s+1,d=u-s;r[_]=d,x[_++]=c;for(var p=0;p<2;++p)for(var m=0;m<2;++m){var v=i+p*h,g=a+m*h,y=n(t,e,f,u,v,g,v+h,g+h);if(y!==f){if(y-f>=Math.max(.9*d,32)){var b=u+s>>>1;l(v,g,h,f,b,c+1),f=b}l(v,g,h,f,y,c+1),f=y}}}var u=t.length>>>1;if(u<1)return[];for(var c=1/0,h=1/0,f=-1/0,d=-1/0,p=0;p<u;++p){var m=t[2*p],v=t[2*p+1];c=Math.min(c,m),f=Math.max(f,m),h=Math.min(h,v),d=Math.max(d,v),e[p]=p}c===f&&(f+=1+Math.abs(f)),h===d&&(d+=1+Math.abs(f));var g=1/(f-c),y=1/(d-h),b=Math.max(f-c,d-h);a=a||[0,0,0,0],a[0]=c,a[1]=h,a[2]=f,a[3]=d;var x=o.mallocInt32(u),_=0;l(c,h,b,0,u,0),s(x,t,e,r,u);for(var w=[],M=0,k=u,_=u-1;_>=0;--_){t[2*_]=(t[2*_]-c)*g,t[2*_+1]=(t[2*_+1]-h)*y;var A=x[_];A!==M&&(w.push(new i(b*Math.pow(.5,A),_+1,k-(_+1))),k=_+1,M=A)}return w.push(new i(b*Math.pow(.5,A+1),0,k)),o.free(x),w}var o=t(\"typedarray-pool\"),s=t(\"./lib/sort\");e.exports=a},{\"./lib/sort\":241,\"typedarray-pool\":541}],243:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.sizeBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.charBuffer=s,this.pointCount=0,this.pickOffset=0,this.points=null,this.scales=[],this.xCoords=[],this.charCanvas=document.createElement(\"canvas\"),this.charTexture=m(this.plot.gl,this.charCanvas),this.charStep=400,this.charFit=.255,this.snapThreshold=1e4,this.paletteTexture=m(this.plot.gl,[256,1])}function i(){var t=this.plot,e=t.viewBox,r=t.dataBox,n=t.pixelRatio,i=r[2]-r[0],a=r[3]-r[1],u=2/i,c=2/a,h=-r[0]-.5*i,f=-r[1]-.5*a;_[0]=u,w[0]=u-_[0],_[1]=c,w[1]=c-_[1],M[0]=h,k[0]=h-M[0],M[1]=f,k[1]=f-M[1];var d=e[2]-e[0],p=e[3]-e[1];o=Math.min(i/d,a/p),A[0]=2*n/d,A[1]=2*n/p,s=r[0],l=r[2]}function a(t,e){var r=t.gl,i=u(r,f.vertex,f.fragment),a=u(r,f.pickVertex,f.pickFragment),o=c(r),s=c(r),l=c(r),h=c(r),d=c(r),p=new n(t,i,a,o,s,l,h,d);return p.update(e),t.addObject(p),p}e.exports=a;var o,s,l,u=t(\"gl-shader\"),c=t(\"gl-buffer\"),h=t(\"typedarray-pool\"),f=t(\"./lib/shaders\"),d=t(\"snap-points-2d\"),p=t(\"font-atlas-sdf\"),m=t(\"gl-texture2d\"),v=t(\"color-id\"),g=t(\"ndarray\"),y=t(\"clamp\"),b=t(\"binary-search-bounds\"),x=n.prototype,_=new Float32Array([0,0]),w=new Float32Array([0,0]),M=new Float32Array([0,0]),k=new Float32Array([0,0]),A=[0,0],T=[0,0,0,0];x.drawPick=function(t){var e=void 0!==t,r=this.plot,n=this.pointCount,a=n>this.snapThreshold;if(!n)return t;i.call(this);var u=r.gl,c=e?this.pickShader:this.shader,h=u.isEnabled(u.BLEND);if(c.bind(),e){this.pickOffset=t;for(var f=0;f<4;++f)T[f]=t>>8*f&255;c.uniforms.pickOffset=T,this.idBuffer.bind(),c.attributes.id.pointer(u.UNSIGNED_BYTE,!1)}else u.blendFuncSeparate(u.SRC_ALPHA,u.ONE_MINUS_SRC_ALPHA,u.ONE,u.ONE_MINUS_SRC_ALPHA),u.blendColor(0,0,0,1),h||u.enable(u.BLEND),this.colorBuffer.bind(),c.attributes.color.pointer(u.UNSIGNED_BYTE,!1),this.charBuffer.bind(),c.attributes.char.pointer(u.UNSIGNED_BYTE,!1),c.uniforms.chars=this.charTexture.bind(0),c.uniforms.charsShape=[this.charCanvas.width,this.charCanvas.height],c.uniforms.charsStep=this.charStep,c.uniforms.palette=this.paletteTexture.bind(1);this.sizeBuffer.bind(),c.attributes.size.pointer(u.FLOAT,!1,8,0),e||c.attributes.border.pointer(u.FLOAT,!1,8,4),this.positionBuffer.bind(),c.attributes.positionHi.pointer(u.FLOAT,!1,16,0),c.attributes.positionLo.pointer(u.FLOAT,!1,16,8),c.uniforms.pixelRatio=r.pixelRatio,c.uniforms.scaleHi=_,c.uniforms.scaleLo=w,c.uniforms.translateHi=M,c.uniforms.translateLo=k,c.uniforms.viewBox=r.viewBox;var d=this.scales;if(a)for(var p=d.length-1;p>=0;p--){var m=d[p];if(!(m.pixelSize&&m.pixelSize<1.25*o&&p>1)){var v=m.offset,g=m.count+v,y=b.ge(this.xCoords,s,v,g-1),x=b.lt(this.xCoords,l,y,g-1)+1;x>y&&u.drawArrays(u.POINTS,y,x-y)}}else u.drawArrays(u.POINTS,0,n);if(e)return t+n;h?u.blendFunc(u.ONE,u.ONE_MINUS_SRC_ALPHA):u.disable(u.BLEND)},x.draw=x.drawPick,x.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}},x.update=function(t){t=t||{};var e=t.positions||[],r=t.colors||[],n=t.glyphs||[],i=t.sizes||[],a=t.borderWidths||[],o=t.borderColors||[],s=this.plot.gl,l=this.pointCount,u=l>this.snapThreshold;if(null!=t.positions){this.points=e,l=this.points.length/2,u=l>this.snapThreshold;var c=h.mallocFloat32(2*l),f=h.mallocFloat64(2*l),m=h.mallocUint32(l),b=h.mallocFloat32(4*l);f.set(this.points),u&&(this.i2idx&&h.free(this.i2idx),this.i2idx=h.mallocInt32(l),this.scales=d(f,this.i2idx,c)),this.pointCount=l;for(var x=0;x<l;++x){var _=u?this.i2idx[x]:x;m[x]=_;var w=e[2*_],M=e[2*_+1];b[4*x]=w,b[4*x+1]=M,b[4*x+2]=w-b[4*x],b[4*x+3]=M-b[4*x+1],this.xCoords[x]=w}this.idBuffer.update(m),this.positionBuffer.update(b),h.free(b),h.free(m),h.free(f),h.free(c)}for(var k=h.mallocFloat32(2*l),A=h.mallocUint8(2*l),T=h.mallocUint8(2*l),S={},E=[],L=[],C=[],x=0,I=l,z=0;x<I;++x){var D=[255*r[4*x],255*r[4*x+1],255*r[4*x+2],255*r[4*x+3]],P=v(D,!1);null==S[P]&&(S[P]=z++,L.push(D[0]),L.push(D[1]),L.push(D[2]),L.push(D[3])),E.push(P),o&&o.length&&(D=[255*o[4*x],255*o[4*x+1],255*o[4*x+2],255*o[4*x+3]],P=v(D,!1),null==S[P]&&(S[P]=z++,L.push(D[0]),L.push(D[1]),L.push(D[2]),L.push(D[3])),C.push(P))}for(var O={},x=0,I=l,z=0;x<I;x++){var R=n[x];null==O[R]&&(O[R]=z++)}for(var F=0,x=0,I=i.length;x<I;++x)i[x]>F&&(F=i[x]);var j=this.charStep;this.charStep=y(Math.ceil(4*F),128,768);var N=Object.keys(O),B=this.charStep,U=Math.floor(B/2),V=s.getParameter(s.MAX_TEXTURE_SIZE),H=V/B*(V/B),q=Math.min(V,B*N.length),G=Math.min(V,B*Math.ceil(B*N.length/V)),Y=Math.floor(q/B);N.length>H&&console.warn(\"gl-scatter2d-fancy: number of characters is more than maximum texture size. Try reducing it.\"),this.chars&&this.chars+\"\"==N+\"\"&&this.charStep==j||(this.charCanvas=p({canvas:this.charCanvas,family:\"sans-serif\",size:U,shape:[q,G],step:[B,B],chars:N,align:!0,fit:this.charFit}),this.chars=N);for(var x=0;x<l;++x){var _=u?this.i2idx[x]:x,W=i[_],X=a[_];k[2*x]=2*W,k[2*x+1]=X;var P=E[_],Z=S[P];A[2*x]=Z;var J=C[_],K=S[J];A[2*x+1]=K;var R=n[_],Q=O[R];T[2*x+1]=Math.floor(Q/Y),T[2*x]=Q%Y}this.sizeBuffer.update(k),this.colorBuffer.update(A),this.charBuffer.update(T),this.charTexture.shape=[this.charCanvas.width,this.charCanvas.height],this.charCanvas&&this.charCanvas.width&&this.charTexture.setPixels(this.charCanvas),this.paletteTexture.setPixels(g(L.slice(0,1024),[256,1,4])),h.free(k),h.free(A),h.free(T)},x.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.sizeBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.charBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":232,\"binary-search-bounds\":233,clamp:88,\"color-id\":92,\"font-atlas-sdf\":134,\"gl-buffer\":156,\"gl-shader\":234,\"gl-texture2d\":267,ndarray:467,\"snap-points-2d\":242,\"typedarray-pool\":541}],244:[function(t,e,r){r.pointVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 positionHi, positionLo;\\nattribute float weight;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform float pointSize, useWeight;\\n\\nvarying float fragWeight;\\n\\n\\nvec4 pfx_1_0(vec2 scaleHi, vec2 scaleLo, vec2 translateHi, vec2 translateLo, vec2 positionHi, vec2 positionLo) {\\n  return vec4((positionHi + translateHi) * scaleHi\\n            + (positionLo + translateLo) * scaleHi\\n            + (positionHi + translateHi) * scaleLo\\n            + (positionLo + translateLo) * scaleLo, 0.0, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position = pfx_1_0(scaleHi, scaleLo, translateHi, translateLo, positionHi, positionLo);\\n  gl_PointSize = pointSize;\\n  fragWeight = mix(1.0, weight, useWeight);\\n}\",r.pointFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\n\\nvarying float fragWeight;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float radius = length(2.0*gl_PointCoord.xy-1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  vec4 baseColor = mix(borderColor, color, smoothStep(radius, centerFraction));\\n  float alpha = 1.0 - pow(1.0 - baseColor.a, fragWeight);\\n  gl_FragColor = vec4(baseColor.rgb * alpha, alpha);\\n}\\n\",r.pickVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nvec4 pfx_1_0(vec2 scaleHi, vec2 scaleLo, vec2 translateHi, vec2 translateLo, vec2 positionHi, vec2 positionLo) {\\n  return vec4((positionHi + translateHi) * scaleHi\\n            + (positionLo + translateLo) * scaleHi\\n            + (positionHi + translateHi) * scaleLo\\n            + (positionLo + translateLo) * scaleLo, 0.0, 1.0);\\n}\\n\\nattribute vec2 positionHi, positionLo;\\nattribute vec4 pickId;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_Position = pfx_1_0(scaleHi, scaleLo, translateHi, translateLo, positionHi, positionLo);\\n  gl_PointSize = pointSize;\\n  fragId = id;\\n}\",r.pickFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\"},{}],245:[function(t,e,r){arguments[4][84][0].apply(r,arguments)},{dup:84}],246:[function(t,e,r){arguments[4][241][0].apply(r,arguments)},{dup:241}],247:[function(t,e,r){arguments[4][242][0].apply(r,arguments)},{\"./lib/sort\":246,dup:242,\"typedarray-pool\":541}],248:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o){this.plot=t,this.positionBufferHi=e,this.positionBufferLo=r,this.pickBuffer=n,this.weightBuffer=i,this.shader=a,this.pickShader=o,this.scales=[],this.size=12,this.borderSize=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0,this.points=null,this.xCoords=null,this.snapPoints=!0}function i(t,e){var r=t.gl,i=o(r),s=o(r),l=o(r),u=o(r),h=a(r,c.pointVertex,c.pointFragment),f=a(r,c.pickVertex,c.pickFragment),d=new n(t,i,s,l,u,h,f);return d.update(e),t.addObject(d),d}var a=t(\"gl-shader\"),o=t(\"gl-buffer\"),s=t(\"binary-search-bounds\"),l=t(\"snap-points-2d\"),u=t(\"typedarray-pool\"),c=t(\"./lib/shader\"),h=t(\"array-normalize\"),f=t(\"array-bounds\");e.exports=i;var d=n.prototype,p=new Float32Array(2),m=new Float32Array(2),v=new Float32Array(2),g=new Float32Array(2),y=[0,0,0,0];d.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBufferHi.dispose(),this.positionBufferLo.dispose(),this.pickBuffer.dispose(),this.xCoords&&u.free(this.xCoords),this.plot.removeObject(this)},d.update=function(t){function e(e,r){return e in t?t[e]:r}if(t=t||{},this.size=e(\"size\",12),this.color=e(\"color\",[1,0,0,1]).slice(),this.borderSize=e(\"borderSize\",1),this.borderColor=e(\"borderColor\",[0,0,0,1]).slice(),this.snapPoints=e(\"snapPoints\",!0),null!=t.positions){this.xCoords&&u.free(this.xCoords),this.points=t.positions;var r=this.points.length>>>1,n=u.mallocInt32(r),i=u.mallocFloat32(r),a=u.mallocFloat64(2*r);if(a.set(this.points),this.snapPoints)this.scales=l(a,n,i,this.bounds);else{this.bounds=f(a,2),h(a,2,this.bounds);for(var o=0;o<r;o++)n[o]=o,i[o]=1}var s=u.mallocFloat64(r),c=u.mallocFloat32(2*r),d=u.mallocFloat32(2*r);c.set(a);for(var o=0,p=0;o<r;o++,p+=2)d[p]=a[p]-c[p],d[p+1]=a[p+1]-c[p+1],s[o]=a[p];this.positionBufferHi.update(c),this.positionBufferLo.update(d),this.pickBuffer.update(n),this.weightBuffer.update(i),u.free(c),u.free(d),u.free(i),u.free(a),u.free(n),this.xCoords=s,this.pointCount=r,this.pickOffset=0}},d.draw=function(t){var e=void 0!==t,r=this.plot,n=e?this.pickShader:this.shader,i=this.scales,a=this.positionBufferHi,o=this.positionBufferLo,s=this.pickBuffer,l=this.bounds,u=this.size,c=this.borderSize,h=r.gl,f=e?r.pickPixelRatio:r.pixelRatio,d=r.viewBox,b=r.dataBox;if(0===this.pointCount)return t;var x=l[2]-l[0],_=l[3]-l[1],w=b[2]-b[0],M=b[3]-b[1],k=(d[2]-d[0])*f/r.pixelRatio,A=(d[3]-d[1])*f/r.pixelRatio,T=this.pixelSize=Math.min(w/k,M/A),S=2*x/w,E=2*_/M;p[0]=S,p[1]=E,m[0]=S-p[0],m[1]=E-p[1];var L=(l[0]-b[0]-.5*w)/x,C=(l[1]-b[1]-.5*M)/_;v[0]=L,v[1]=C,g[0]=L-v[0],g[1]=C-v[1],n.bind(),n.uniforms.scaleHi=p,n.uniforms.scaleLo=m,n.uniforms.translateHi=v,n.uniforms.translateLo=g,n.uniforms.color=this.color,n.uniforms.borderColor=this.borderColor,n.uniforms.pointSize=f*(u+c),n.uniforms.centerFraction=0===this.borderSize?2:u/(u+c+1.25),a.bind(),n.attributes.positionHi.pointer(),o.bind(),n.attributes.positionLo.pointer(),e?(this.pickOffset=t,y[0]=255&t,y[1]=t>>8&255,y[2]=t>>16&255,y[3]=t>>24&255,n.uniforms.pickOffset=y,s.bind(),n.attributes.pickId.pointer(h.UNSIGNED_BYTE)):(n.uniforms.useWeight=1,this.weightBuffer.bind(),n.attributes.weight.pointer());var I=!0;if(this.snapPoints)for(var z=i.length-1;z>=0;z--){var D=i[z];if(!(D.pixelSize<T&&z>1)){var P=this.getVisibleRange(D),O=P[0],R=P[1];R>O&&h.drawArrays(h.POINTS,O,R-O),!e&&I&&(I=!1,n.uniforms.useWeight=0)}}else h.drawArrays(h.POINTS,0,this.pointCount);return t+this.pointCount},d.getVisibleRange=function(t){var e=this.plot.dataBox,r=this.bounds,n=this.pixelSize,i=this.size,a=this.plot.pixelRatio,o=r[2]-r[0];r[3],r[1];if(!t)for(var t,l=this.scales.length-1;l>=0&&(t=this.scales[l],t.pixelSize<n&&l>1);l--);var u=this.xCoords,c=(e[0]-r[0]-n*i*a)/o,h=(e[2]-r[0]+n*i*a)/o,f=t.offset,d=t.count+f,p=s.ge(u,c,f,d-1);return[p,s.lt(u,h,p,d-1)+1]},d.drawPick=d.draw,d.pick=function(t,e,r){var n=r-this.pickOffset;return n<0||n>=this.pointCount?null:{object:this,pointId:n,dataCoord:[this.points[2*n],this.points[2*n+1]]}}},{\"./lib/shader\":244,\"array-bounds\":44,\"array-normalize\":45,\"binary-search-bounds\":245,\"gl-buffer\":156,\"gl-shader\":255,\"snap-points-2d\":247,\"typedarray-pool\":541}],249:[function(t,e,r){\"use strict\";function n(t,e){var r=a[e];if(r||(r=a[e]={}),t in r)return r[t];for(var n=i(t,{textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e}),o=i(t,{triangles:!0,textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e}),s=[[1/0,1/0],[-1/0,-1/0]],l=0;l<n.positions.length;++l)for(var u=n.positions[l],c=0;c<2;++c)s[0][c]=Math.min(s[0][c],u[c]),s[1][c]=Math.max(s[1][c],u[c]);return r[t]=[o,n,s]}var i=t(\"vectorize-text\");e.exports=n;var a={}},{\"vectorize-text\":554}],250:[function(t,e,r){function n(t,e){var r=i(t,e),n=r.attributes;return n.position.location=0,n.color.location=1,n.glyph.location=2,n.id.location=3,r}var i=t(\"gl-shader\"),a=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\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(any(lessThan(position, clipBounds[0]))   || \\n     any(greaterThan(position, clipBounds[1])) ) {\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 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}\",o=\"precision mediump float;\\n#define GLSLIFY 1\\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(any(lessThan(position, clipBounds[0])) || any(greaterThan(position, clipBounds[1]))) {\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 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}\",s=\"precision mediump float;\\n#define GLSLIFY 1\\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(any(lessThan(position, clipBounds[0]))   ||\\n     any(greaterThan(position, clipBounds[1])) ) {\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 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\",l=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if(any(lessThan(dataCoordinate, fragClipBounds[0]))   ||\\n     any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\\n    discard;\\n  } else {\\n    gl_FragColor = interpColor * opacity;\\n  }\\n}\\n\",u=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if(any(lessThan(dataCoordinate, fragClipBounds[0]))   || \\n     any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\\n    discard;\\n  } else {\\n    gl_FragColor = vec4(pickGroup, pickId.bgr);\\n  }\\n}\",c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:a,fragment:l,attributes:c},f={vertex:o,fragment:l,attributes:c},d={vertex:s,fragment:l,attributes:c},p={vertex:a,fragment:u,attributes:c},m={vertex:o,fragment:u,attributes:c},v={vertex:s,fragment:u,attributes:c};r.createPerspective=function(t){return n(t,h)},r.createOrtho=function(t){return n(t,f)},r.createProject=function(t){return n(t,d)},r.createPickPerspective=function(t){return n(t,p)},r.createPickOrtho=function(t){return n(t,m)},r.createPickProject=function(t){return n(t,v)}},{\"gl-shader\":255}],251:[function(t,e,r){\"use strict\";function n(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 i(t,e,r,i){return n(i,i,r),n(i,i,e),n(i,i,t)}function a(t,e){this.index=t,this.dataCoordinate=this.position=e}function o(t,e,r,n,i,o,s,l,u,c,h,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=o,this.glyphBuffer=s,this.idBuffer=l,this.vao=u,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=h,this.pickProjectShader=f,this.points=[],this._selectResult=new a(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}function s(t){return t[0]=t[1]=t[2]=0,t}function l(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function u(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function c(t){for(var e=L,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}function h(t,e,r,n,a){var o,h=e.axesProject,f=e.gl,d=t.uniforms,p=r.model||x,m=r.view||x,v=r.projection||x,y=e.axesBounds,b=c(e.clipBounds);o=e.axes?e.axes.lastCubeProps.axis:[1,1,1],w[0]=2/f.drawingBufferWidth,w[1]=2/f.drawingBufferHeight,t.bind(),d.view=m,d.projection=v,d.screenSize=w,d.highlightId=e.highlightId,d.highlightScale=e.highlightScale,d.clipBounds=b,\n",
       "d.pickGroup=e.pickId/255,d.pixelRatio=e.pixelRatio;for(var _=0;_<3;++_)if(h[_]&&e.projectOpacity[_]<1===n){d.scale=e.projectScale[_],d.opacity=e.projectOpacity[_];for(var L=S,C=0;C<16;++C)L[C]=0;for(var C=0;C<4;++C)L[5*C]=1;L[5*_]=0,o[_]<0?L[12+_]=y[0][_]:L[12+_]=y[1][_],g(L,p,L),d.model=L;var I=(_+1)%3,z=(_+2)%3,D=s(M),P=s(k);D[I]=1,P[z]=1;var O=i(v,m,p,l(A,D)),R=i(v,m,p,l(T,P));if(Math.abs(O[1])>Math.abs(R[1])){var F=O;O=R,R=F,F=D,D=P,P=F;var j=I;I=z,z=j}O[0]<0&&(D[I]=-1),R[1]>0&&(P[z]=-1);for(var N=0,B=0,C=0;C<4;++C)N+=Math.pow(p[4*I+C],2),B+=Math.pow(p[4*z+C],2);D[I]/=Math.sqrt(N),P[z]/=Math.sqrt(B),d.axes[0]=D,d.axes[1]=P,d.fragClipBounds[0]=u(E,b[0],_,-1e8),d.fragClipBounds[1]=u(E,b[1],_,1e8),e.vao.draw(f.TRIANGLES,e.vertexCount),e.lineWidth>0&&(f.lineWidth(e.lineWidth),e.vao.draw(f.LINES,e.lineVertexCount,e.vertexCount))}}function f(t,e,r,n,i,a){var o=r.gl;if(r.vao.bind(),i===r.opacity<1||a){t.bind();var s=t.uniforms;s.model=n.model||x,s.view=n.view||x,s.projection=n.projection||x,w[0]=2/o.drawingBufferWidth,w[1]=2/o.drawingBufferHeight,s.screenSize=w,s.highlightId=r.highlightId,s.highlightScale=r.highlightScale,s.fragClipBounds=z,s.clipBounds=r.axes.bounds,s.opacity=r.opacity,s.pickGroup=r.pickId/255,s.pixelRatio=r.pixelRatio,r.vao.draw(o.TRIANGLES,r.vertexCount),r.lineWidth>0&&(o.lineWidth(r.lineWidth),r.vao.draw(o.LINES,r.lineVertexCount,r.vertexCount))}h(e,r,n,i,a),r.vao.unbind()}function d(t){var e=t.gl,r=y.createPerspective(e),n=y.createOrtho(e),i=y.createProject(e),a=y.createPickPerspective(e),s=y.createPickOrtho(e),l=y.createPickProject(e),u=p(e),c=p(e),h=p(e),f=p(e),d=m(e,[{buffer:u,size:3,type:e.FLOAT},{buffer:c,size:4,type:e.FLOAT},{buffer:h,size:2,type:e.FLOAT},{buffer:f,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new o(e,r,n,i,u,c,h,f,d,a,s,l);return v.update(t),v}var p=t(\"gl-buffer\"),m=t(\"gl-vao\"),v=t(\"typedarray-pool\"),g=t(\"gl-mat4/multiply\"),y=t(\"./lib/shaders\"),b=t(\"./lib/glyphs\"),x=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];e.exports=d;var _=o.prototype;_.pickSlots=1,_.setPickBase=function(t){this.pickId=t},_.isTransparent=function(){if(this.opacity<1)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectOpacity[t]<1)return!0;return!1},_.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectOpacity[t]>=1)return!0;return!1};var w=[0,0],M=[0,0,0],k=[0,0,0],A=[0,0,0,1],T=[0,0,0,1],S=x.slice(),E=[0,0,0],L=[[0,0,0],[0,0,0]],C=[-1e8,-1e8,-1e8],I=[1e8,1e8,1e8],z=[C,I];_.draw=function(t){f(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,!1,!1)},_.drawTransparent=function(t){f(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,!0,!1)},_.drawPick=function(t){f(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,!1,!0)},_.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},_.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},_.update=function(t){if(t=t||{},\"perspective\"in t&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(\"projectOpacity\"in t)if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{var r=+t.projectOpacity;this.projectOpacity=[r,r,r]}\"opacity\"in t&&(this.opacity=t.opacity),this.dirty=!0;var n=t.position;if(n){var i=t.font||\"normal\",a=t.alignment||[0,0],o=[1/0,1/0,1/0],s=[-1/0,-1/0,-1/0],l=t.glyph,u=t.color,c=t.size,h=t.angle,f=t.lineColor,d=0,p=0,m=0,g=n.length;t:for(var y=0;y<g;++y){for(var x=n[y],_=0;_<3;++_)if(isNaN(x[_])||!isFinite(x[_]))continue t;var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b(\"\\u25cf\",i);var M=w[0],k=w[1],A=w[2];p+=3*M.cells.length,m+=2*k.edges.length}var T=p+m,S=v.mallocFloat(3*T),E=v.mallocFloat(4*T),L=v.mallocFloat(2*T),C=v.mallocUint32(T),I=[0,a[1]],z=0,D=p,P=[0,0,0,1],O=[0,0,0,1],R=Array.isArray(u)&&Array.isArray(u[0]),F=Array.isArray(f)&&Array.isArray(f[0]);t:for(var y=0;y<g;++y){for(var x=n[y],_=0;_<3;++_){if(isNaN(x[_])||!isFinite(x[_])){d+=1;continue t}s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_])}var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b(\"\\u25cf\",i);var M=w[0],k=w[1],A=w[2];if(Array.isArray(u)){var j;if(j=R?u[y]:u,3===j.length){for(var _=0;_<3;++_)P[_]=j[_];P[3]=1}else if(4===j.length)for(var _=0;_<4;++_)P[_]=j[_]}else P[0]=P[1]=P[2]=0,P[3]=1;if(Array.isArray(f)){var j;if(j=F?f[y]:f,3===j.length){for(var _=0;_<3;++_)O[_]=j[_];O[_]=1}else if(4===j.length)for(var _=0;_<4;++_)O[_]=j[_]}else O[0]=O[1]=O[2]=0,O[3]=1;var N=.5;Array.isArray(c)?N=+c[y]:c?N=+c:this.useOrtho&&(N=12);var B=0;Array.isArray(h)?B=+h[y]:h&&(B=+h);for(var U=Math.cos(B),V=Math.sin(B),x=n[y],_=0;_<3;++_)s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_]);a[0]<0?I[0]=a[0]*(1+A[1][0]):a[0]>0&&(I[0]=-a[0]*(1+A[0][0]));for(var H=M.cells,q=M.positions,_=0;_<H.length;++_)for(var G=H[_],Y=0;Y<3;++Y){for(var W=0;W<3;++W)S[3*z+W]=x[W];for(var W=0;W<4;++W)E[4*z+W]=P[W];C[z]=d;var X=q[G[Y]];L[2*z]=N*(U*X[0]-V*X[1]+I[0]),L[2*z+1]=N*(V*X[0]+U*X[1]+I[1]),z+=1}for(var H=k.edges,q=k.positions,_=0;_<H.length;++_)for(var G=H[_],Y=0;Y<2;++Y){for(var W=0;W<3;++W)S[3*D+W]=x[W];for(var W=0;W<4;++W)E[4*D+W]=O[W];C[D]=d;var X=q[G[Y]];L[2*D]=N*(U*X[0]-V*X[1]+I[0]),L[2*D+1]=N*(V*X[0]+U*X[1]+I[1]),D+=1}d+=1}this.vertexCount=p,this.lineVertexCount=m,this.pointBuffer.update(S),this.colorBuffer.update(E),this.glyphBuffer.update(L),this.idBuffer.update(new Uint32Array(C)),v.free(S),v.free(E),v.free(L),v.free(C),this.bounds=[o,s],this.points=n,this.pointCount=n.length}},_.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()}},{\"./lib/glyphs\":249,\"./lib/shaders\":250,\"gl-buffer\":156,\"gl-mat4/multiply\":183,\"gl-vao\":271,\"typedarray-pool\":541}],252:[function(t,e,r){\"use strict\";r.boxVertex=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\",r.boxFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"},{}],253:[function(t,e,r){\"use strict\";function n(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}function i(t,e){var r=t.gl,i=o(r,[0,0,0,1,1,0,1,1]),l=a(r,s.boxVertex,s.boxFragment),u=new n(t,i,l);return u.update(e),t.addOverlay(u),u}var a=t(\"gl-shader\"),o=t(\"gl-buffer\"),s=t(\"./lib/shaders\");e.exports=i;var l=n.prototype;l.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,u=t.viewBox,c=t.pixelRatio,h=(e[0]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],f=(e[1]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1],d=(e[2]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],p=(e[3]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1];if(h=Math.max(h,u[0]),f=Math.max(f,u[1]),d=Math.min(d,u[2]),p=Math.min(p,u[3]),!(d<h||p<f)){o.bind();var m=s[2]-s[0],v=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,m,f,i),o.drawBox(0,f,h,p,i),o.drawBox(0,p,m,v,i),o.drawBox(d,f,m,p,i)),this.innerFill&&o.drawBox(h,f,d,p,n),r>0){var g=r*c;o.drawBox(h-g,f-g,d+g,f+g,a),o.drawBox(h-g,p-g,d+g,p+g,a),o.drawBox(h-g,f-g,h+g,p+g,a),o.drawBox(d-g,f-g,d+g,p+g,a)}}}},l.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},l.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":252,\"gl-buffer\":156,\"gl-shader\":255}],254:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function i(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}function a(t,e){return new i(t,o(t,e),s.mallocUint8(e[0]*e[1]*4))}e.exports=a;var o=t(\"gl-fbo\"),s=t(\"typedarray-pool\"),l=t(\"ndarray\"),u=t(\"bit-twiddle\").nextPow2,c=t(\"cwise/lib/wrapper\")({args:[\"array\",{offset:[0,0,1],array:0},{offset:[0,0,2],array:0},{offset:[0,0,3],array:0},\"scalar\",\"scalar\",\"index\"],pre:{body:\"{this_closestD2=1e8,this_closestX=-1,this_closestY=-1}\",args:[],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[]},body:{body:\"{if(_inline_46_arg0_<255||_inline_46_arg1_<255||_inline_46_arg2_<255||_inline_46_arg3_<255){var _inline_46_l=_inline_46_arg4_-_inline_46_arg6_[0],_inline_46_a=_inline_46_arg5_-_inline_46_arg6_[1],_inline_46_f=_inline_46_l*_inline_46_l+_inline_46_a*_inline_46_a;_inline_46_f<this_closestD2&&(this_closestD2=_inline_46_f,this_closestX=_inline_46_arg6_[0],this_closestY=_inline_46_arg6_[1])}}\",args:[{name:\"_inline_46_arg0_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg1_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg2_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg3_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg4_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg5_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg6_\",lvalue:!1,rvalue:!0,count:4}],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[\"_inline_46_a\",\"_inline_46_f\",\"_inline_46_l\"]},post:{body:\"{return[this_closestX,this_closestY,this_closestD2]}\",args:[],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[]},debug:!1,funcName:\"cwise\",blockSize:64}),h=i.prototype;Object.defineProperty(h,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){s.free(this.buffer);for(var n=this.buffer=s.mallocUint8(u(r*e*4)),i=0;i<r*e*4;++i)n[i]=255}return t}}}),h.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},h.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},h.query=function(t,e,r){if(!this.gl)return null;var i=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var a=0|Math.min(Math.max(t-r,0),i[0]),o=0|Math.min(Math.max(t+r,0),i[0]),s=0|Math.min(Math.max(e-r,0),i[1]),u=0|Math.min(Math.max(e+r,0),i[1]);if(o<=a||u<=s)return null;var h=[o-a,u-s],f=l(this.buffer,[h[0],h[1],4],[4,4*i[0],1],4*(a+i[0]*s)),d=c(f.hi(h[0],h[1],1),r,r),p=d[0],m=d[1];return p<0||Math.pow(this.radius,2)<d[2]?null:new n(p+a|0,m+s|0,f.get(p,m,0),[f.get(p,m,1),f.get(p,m,2),f.get(p,m,3)],Math.sqrt(d[2]))},h.dispose=function(){this.gl&&(this.fbo.dispose(),s.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":67,\"cwise/lib/wrapper\":113,\"gl-fbo\":164,ndarray:467,\"typedarray-pool\":541}],255:[function(t,e,r){\"use strict\";function n(t){this.gl=t,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}function i(t,e){return t.name<e.name?-1:1}function a(t,e,r,i,a){var o=new n(t);return o.update(e,r,i,a),o}var o=t(\"./lib/create-uniforms\"),s=t(\"./lib/create-attributes\"),l=t(\"./lib/reflect\"),u=t(\"./lib/shader-cache\"),c=t(\"./lib/runtime-reflect\"),h=t(\"./lib/GLError\"),f=n.prototype;f.bind=function(){this.program||this._relink(),this.gl.useProgram(this.program)},f.dispose=function(){this._fref&&this._fref.dispose(),this._vref&&this._vref.dispose(),this.attributes=this.types=this.vertShader=this.fragShader=this.program=this._relink=this._fref=this._vref=null},f.update=function(t,e,r,n){function a(){d.program=u.program(p,d._vref,d._fref,x,_);for(var t=0;t<r.length;++t)E[t]=p.getUniformLocation(d.program,r[t].name)}if(!e||1===arguments.length){var f=t;t=f.vertex,e=f.fragment,r=f.uniforms,n=f.attributes}var d=this,p=d.gl,m=d._vref;d._vref=u.shader(p,p.VERTEX_SHADER,t),m&&m.dispose(),d.vertShader=d._vref.shader;var v=this._fref;if(d._fref=u.shader(p,p.FRAGMENT_SHADER,e),v&&v.dispose(),d.fragShader=d._fref.shader,!r||!n){var g=p.createProgram();if(p.attachShader(g,d.fragShader),p.attachShader(g,d.vertShader),p.linkProgram(g),!p.getProgramParameter(g,p.LINK_STATUS)){var y=p.getProgramInfoLog(g);throw new h(y,\"Error linking program:\"+y)}r=r||c.uniforms(p,g),n=n||c.attributes(p,g),p.deleteProgram(g)}n=n.slice(),n.sort(i);for(var b=[],x=[],_=[],w=0;w<n.length;++w){var M=n[w];if(M.type.indexOf(\"mat\")>=0){for(var k=0|M.type.charAt(M.type.length-1),A=new Array(k),T=0;T<k;++T)A[T]=_.length,x.push(M.name+\"[\"+T+\"]\"),\"number\"==typeof M.location?_.push(M.location+T):Array.isArray(M.location)&&M.location.length===k&&\"number\"==typeof M.location[T]?_.push(0|M.location[T]):_.push(-1);b.push({name:M.name,type:M.type,locations:A})}else b.push({name:M.name,type:M.type,locations:[_.length]}),x.push(M.name),\"number\"==typeof M.location?_.push(0|M.location):_.push(-1)}for(var S=0,w=0;w<_.length;++w)if(_[w]<0){for(;_.indexOf(S)>=0;)S+=1;_[w]=S}var E=new Array(r.length);a(),d._relink=a,d.types={uniforms:l(r),attributes:l(n)},d.attributes=s(p,d,b,_),Object.defineProperty(d,\"uniforms\",o(p,d,r,E))},e.exports=a},{\"./lib/GLError\":256,\"./lib/create-attributes\":257,\"./lib/create-uniforms\":258,\"./lib/reflect\":259,\"./lib/runtime-reflect\":260,\"./lib/shader-cache\":261}],256:[function(t,e,r){arguments[4][213][0].apply(r,arguments)},{dup:213}],257:[function(t,e,r){arguments[4][214][0].apply(r,arguments)},{\"./GLError\":256,dup:214}],258:[function(t,e,r){arguments[4][215][0].apply(r,arguments)},{\"./GLError\":256,\"./reflect\":259,dup:215}],259:[function(t,e,r){arguments[4][216][0].apply(r,arguments)},{dup:216}],260:[function(t,e,r){arguments[4][217][0].apply(r,arguments)},{dup:217}],261:[function(t,e,r){arguments[4][218][0].apply(r,arguments)},{\"./GLError\":256,dup:218,\"gl-format-compiler-error\":165,\"weakmap-shim\":562}],262:[function(t,e,r){\"use strict\";function n(t){this.plot=t,this.enable=[!0,!0,!1,!1],this.width=[1,1,1,1],this.color=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.center=[1/0,1/0]}function i(t,e){var r=new n(t);return r.update(e),t.addOverlay(r),r}e.exports=i;var a=n.prototype;a.update=function(t){t=t||{},this.enable=(t.enable||[!0,!0,!1,!1]).slice(),this.width=(t.width||[1,1,1,1]).slice(),this.color=(t.color||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]).map(function(t){return t.slice()}),this.center=(t.center||[1/0,1/0]).slice(),this.plot.setOverlayDirty()},a.draw=function(){var t=this.enable,e=this.width,r=this.color,n=this.center,i=this.plot,a=i.line,o=i.dataBox,s=i.viewBox;if(a.bind(),o[0]<=n[0]&&n[0]<=o[2]&&o[1]<=n[1]&&n[1]<=o[3]){var l=s[0]+(n[0]-o[0])/(o[2]-o[0])*(s[2]-s[0]),u=s[1]+(n[1]-o[1])/(o[3]-o[1])*(s[3]-s[1]);t[0]&&a.drawLine(l,u,s[0],u,e[0],r[0]),t[1]&&a.drawLine(l,u,l,s[1],e[1],r[1]),t[2]&&a.drawLine(l,u,s[2],u,e[2],r[2]),t[3]&&a.drawLine(l,u,l,s[3],e[3],r[3])}},a.dispose=function(){this.plot.removeOverlay(this)}},{}],263:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\");e.exports=function(t){return n(t,\"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\",\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  gl_FragColor = fragColor;\\n}\",null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec3\"},{name:\"weight\",type:\"float\"}])}},{\"gl-shader\":255}],264:[function(t,e,r){\"use strict\";function n(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}function i(t,e){function r(t,e,r,n,a,o){var s=[t,e,r,0,0,0,1];s[n+3]=1,s[n]=a,i.push.apply(i,s),s[6]=-1,i.push.apply(i,s),s[n]=o,i.push.apply(i,s),i.push.apply(i,s),s[6]=1,i.push.apply(i,s),s[n]=a,i.push.apply(i,s)}var i=[];r(0,0,0,0,0,1),r(0,0,0,1,0,1),r(0,0,0,2,0,1),r(1,0,0,1,-1,1),r(1,0,0,2,-1,1),r(0,1,0,0,-1,1),r(0,1,0,2,-1,1),r(0,0,1,0,-1,1),r(0,0,1,1,-1,1);var l=a(t,i),u=o(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=s(t);c.attributes.position.location=0,c.attributes.color.location=1,c.attributes.weight.location=2;var h=new n(t,l,u,c);return h.update(e),h}var a=t(\"gl-buffer\"),o=t(\"gl-vao\"),s=t(\"./shaders/index\");e.exports=i;var l=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],u=n.prototype,c=[0,0,0],h=[0,0,0],f=[0,0];u.isTransparent=function(){return!1},u.drawTransparent=function(t){},u.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var i,a=t.model||l,o=t.view||l,s=t.projection||l;this.axes&&(i=this.axes.lastCubeProps.axis);for(var u=c,d=h,p=0;p<3;++p)i&&i[p]<0?(u[p]=this.bounds[0][p],d[p]=this.bounds[1][p]):(u[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=o,n.uniforms.projection=s,n.uniforms.coordinates=[this.position,u,d],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(var p=0;p<3;++p)n.uniforms.lineWidth=this.lineWidth[p]*this.pixelRatio,this.enabled[p]&&(r.draw(e.TRIANGLES,6,6*p),this.drawSides[p]&&r.draw(e.TRIANGLES,12,18+12*p));r.unbind()},u.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},u.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":263,\"gl-buffer\":156,\"gl-vao\":271}],265:[function(t,e,r){var n=t(\"gl-shader\"),i=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\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  worldCoordinate = vec3(uv.zw, f.x);\\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\",a=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution_2_0(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\\n\\n\\nfloat beckmannSpecular_1_1(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution_2_0(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\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 > 0.0 ||\\n    any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\\n    discard;\\n  }\\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_1_1(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 = step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) + 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\",o=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\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  vec4 worldPosition = model * vec4(dataCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z = clipPosition.z + zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f;\\n  kill = -1.0;\\n  worldCoordinate = dataCoordinate;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don'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\",s=\"precision mediump float;\\n#define GLSLIFY 1\\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 > 0.0 ||\\n    any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\\n    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\";r.createShader=function(t){var e=n(t,i,a,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);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,i,s,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);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,o,a,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,o,s,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":255}],266:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}function i(t){var e=x([y({colormap:t,nshades:R,format:\"rgba\"}).map(function(t){return[t[0],t[1],t[2],255*t[3]]})]);return b.divseq(e,255),e}function a(t,e,r,i,a,o,s,l,u,c,h,f,d,p){this.gl=t,this.shape=e,this.bounds=r,this.intensityBounds=[],this._shader=i,this._pickShader=a,this._coordinateBuffer=o,this._vao=s,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=f,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new n([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=p,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=[_(g.mallocFloat(1024),[0,0]),_(g.mallocFloat(1024),[0,0]),_(g.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.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}function o(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||j,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=N.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],M(l,t.model,l);var u=N.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return N.showSurface=o,N.showContour=s,N}function s(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=B;n.model=t.model||D,n.view=t.view||D,n.projection=t.projection||D,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.contourColor=this.contourColor[0],n.inverseModel=k(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],s=0;s<3;++s)a[s]=Math.min(Math.max(this.clipBounds[i][s],-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=V,n.vertexColor=this.vertexColor;var l=U;for(M(l,n.view,n.model),M(l,n.projection,l),k(l,l),i=0;i<3;++i)n.eyePosition[i]=l[12+i]/l[15];var u=l[15];for(i=0;i<3;++i)u+=this.lightPosition[i]*l[4*i+3];for(i=0;i<3;++i){var c=l[12+i];for(s=0;s<3;++s)c+=l[4*s+i]*this.lightPosition[s];n.lightPosition[i]=c/u}var h=o(n,this);if(h.showSurface&&e===this.opacity<1){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=h.projections[i],this._shader.uniforms.clipBounds=h.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(h.showContour&&!e){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var d=this._contourVAO;for(d.bind(),i=0;i<3;++i)for(f.uniforms.permutation=O[i],r.lineWidth(this.contourWidth[i]),s=0;s<this.contourLevels[i].length;++s)this._contourCounts[i][s]&&(s===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==s&&s-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),f.uniforms.height=this.contourLevels[i][s],d.draw(r.LINES,this._contourCounts[i][s],this._contourOffsets[i][s]));for(i=0;i<3;++i)for(f.uniforms.model=h.projections[i],f.uniforms.clipBounds=h.clipBounds[i],s=0;s<3;++s)if(this.contourProject[i][s]){f.uniforms.permutation=O[s],r.lineWidth(this.contourWidth[s]);for(var p=0;p<this.contourLevels[s].length;++p)p===this.highlightLevel[s]?(f.uniforms.contourColor=this.highlightColor[s],f.uniforms.contourTint=this.highlightTint[s]):0!==p&&p-1!==this.highlightLevel[s]||(f.uniforms.contourColor=this.contourColor[s],f.uniforms.contourTint=this.contourTint[s]),f.uniforms.height=this.contourLevels[s][p],d.draw(r.LINES,this._contourCounts[s][p],this._contourOffsets[s][p])}for(d=this._dynamicVAO,d.bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=O[i],r.lineWidth(this.dynamicWidth[i]),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),s=0;s<3;++s)this.contourProject[s][i]&&(f.uniforms.model=h.projections[s],f.uniforms.clipBounds=h.clipBounds[s],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));d.unbind()}}function l(t,e){var r=e.shape.slice(),n=t.shape.slice();b.assign(t.lo(1,1).hi(r[0],r[1]),e),b.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),b.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),b.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),b.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))}function u(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function c(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 h(t){if(Array.isArray(t)){if(Array.isArray(t))return[c(t[0]),c(t[1]),c(t[2])];var e=c(t);return[e.slice(),e.slice(),e.slice()]}}function f(t){var e=t.gl,r=E(e),n=C(e),i=L(e),o=I(e),s=p(e),l=m(e,[{buffer:s,size:4,stride:z,offset:0},{buffer:s,size:3,stride:z,offset:16},{buffer:s,size:3,stride:z,offset:28}]),u=p(e),c=m(e,[{buffer:u,size:4,stride:20,offset:0},{buffer:u,size:1,stride:20,offset:16}]),h=p(e),f=m(e,[{buffer:h,size:2,type:e.FLOAT}]),d=v(e,1,R,e.RGBA,e.UNSIGNED_BYTE);d.minFilter=e.LINEAR,d.magFilter=e.LINEAR;var g=new a(e,[0,0],[[0,0,0],[0,0,0]],r,n,s,l,d,i,o,u,c,h,f),y={levels:[[],[],[]]};for(var b in t)y[b]=t[b];return y.colormap=y.colormap||\"jet\",g.update(y),g}e.exports=f\n",
       ";var d=t(\"bit-twiddle\"),p=t(\"gl-buffer\"),m=t(\"gl-vao\"),v=t(\"gl-texture2d\"),g=t(\"typedarray-pool\"),y=t(\"colormap\"),b=t(\"ndarray-ops\"),x=t(\"ndarray-pack\"),_=t(\"ndarray\"),w=t(\"surface-nets\"),M=t(\"gl-mat4/multiply\"),k=t(\"gl-mat4/invert\"),A=t(\"binary-search-bounds\"),T=t(\"ndarray-gradient\"),S=t(\"./lib/shaders\"),E=S.createShader,L=S.createContourShader,C=S.createPickShader,I=S.createPickContourShader,z=40,D=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],P=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],O=[[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(){for(var t=0;t<3;++t){var e=O[t],r=(t+1)%3,n=(t+2)%3;e[r+0]=1,e[n+3]=1,e[t+6]=1}}();var R=256,F=a.prototype;F.isTransparent=function(){return this.opacity<1},F.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this._contourCounts[t].length>0||this._dynamicCounts[t]>0)return!0;return!1},F.pickSlots=1,F.setPickBase=function(t){this.pickId=t};var j=[0,0,0],N={showSurface:!1,showContour:!1,projections:[D.slice(),D.slice(),D.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]},B={model:D,view:D,projection:D,inverseModel:D.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,kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},U=D.slice(),V=[1,0,0,0,1,0,0,0,1];F.draw=function(t){return s.call(this,t,!1)},F.drawTransparent=function(t){return s.call(this,t,!0)};var H={model:D,view:D,projection:D,inverseModel:D,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};F.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=H;r.model=t.model||D,r.view=t.view||D,r.projection=t.projection||D,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.permutation=V;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var s=o(r,this);if(s.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=s.projections[n],this._pickShader.uniforms.clipBounds=s.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(s.showContour){var l=this._contourPickShader;l.bind(),l.uniforms=r;var u=this._contourVAO;for(u.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]),l.uniforms.permutation=O[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(l.uniforms.height=this.contourLevels[a][n],u.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(l.uniforms.model=s.projections[n],l.uniforms.clipBounds=s.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){l.uniforms.permutation=O[a],e.lineWidth(this.contourWidth[a]);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(l.uniforms.height=this.contourLevels[a][c],u.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}u.unbind()}},F.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]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&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<2;++c)for(var h=c?a:1-a,f=0;f<2;++f)for(var d=f?l:1-l,p=i+c,m=s+f,v=h*d,g=0;g<3;++g)u[g]+=this._field[g].get(p,m)*v;for(var y=this._pickResult.level,b=0;b<3;++b)if(y[b]=A.le(this.contourLevels[b],u[b]),y[b]<0)this.contourLevels[b].length>0&&(y[b]=0);else if(y[b]<this.contourLevels[b].length-1){var x=this.contourLevels[b][y[b]],_=this.contourLevels[b][y[b]+1];Math.abs(x-u[b])>Math.abs(_-u[b])&&(y[b]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],g=0;g<3;++g)r.dataCoordinate[g]=this._field[g].get(r.index[0],r.index[1]);return r},F.update=function(t){t=t||{},this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=u(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=u(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=u(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=h(t.contourColor)),\"contourProject\"in t&&(this.contourProject=u(t.contourProject,function(t){return u(t,Boolean)})),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=h(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=u(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=u(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0);var e=t.field||t.coords&&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)),\"field\"in t||\"coords\"in t){var n=(e.shape[0]+2)*(e.shape[1]+2);n>this._field[2].data.length&&(g.freeFloat(this._field[2].data),this._field[2].data=g.mallocFloat(d.nextPow2(n))),this._field[2]=_(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),l(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(g.freeFloat(this._field[o].data),this._field[o].data=g.mallocFloat(this._field[2].size)),this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var s=t.coords;if(!Array.isArray(s)||3!==s.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=s[o];for(y=0;y<2;++y)if(c.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");l(this._field[o],c)}}else if(t.ticks){var f=t.ticks;if(!Array.isArray(f)||2!==f.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=f[o];if((Array.isArray(p)||p.length)&&(p=_(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var m=_(p.data,a);m.stride[o]=p.stride[0],m.stride[1^o]=0,l(this._field[o],m)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var b=this._field,x=_(g.mallocFloat(3*b[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)T(x.pick(o),b[o],\"mirror\");var M=_(g.mallocFloat(3*b[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var k=x.get(0,o,y,0),A=x.get(0,o,y,1),S=x.get(1,o,y,0),E=x.get(1,o,y,1),L=x.get(2,o,y,0),C=x.get(2,o,y,1),I=S*C-E*L,z=L*A-C*k,D=k*E-A*S,O=Math.sqrt(I*I+z*z+D*D);O<1e-8?(O=Math.max(Math.abs(I),Math.abs(z),Math.abs(D)),O<1e-8?(D=1,z=I=0,O=1):O=1/O):O=1/Math.sqrt(O),M.set(o,y,0,I*O),M.set(o,y,1,z*O),M.set(o,y,2,D*O)}g.free(x.data);var R=[1/0,1/0,1/0],F=[-1/0,-1/0,-1/0],j=1/0,N=-1/0,B=(a[0]-1)*(a[1]-1)*6,U=g.mallocFloat(d.nextPow2(10*B)),V=0,H=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var q=0;q<2;++q)for(var G=0;G<2;++G)for(var Y=0;Y<3;++Y){var W=this._field[Y].get(1+o+q,1+y+G);if(isNaN(W)||!isFinite(W))continue t}for(Y=0;Y<6;++Y){var X=o+P[Y][0],Z=y+P[Y][1],J=this._field[0].get(X+1,Z+1),K=this._field[1].get(X+1,Z+1);W=this._field[2].get(X+1,Z+1);var Q=W;I=M.get(X+1,Z+1,0),z=M.get(X+1,Z+1,1),D=M.get(X+1,Z+1,2),t.intensity&&(Q=t.intensity.get(X,Z)),U[V++]=X,U[V++]=Z,U[V++]=J,U[V++]=K,U[V++]=W,U[V++]=0,U[V++]=Q,U[V++]=I,U[V++]=z,U[V++]=D,R[0]=Math.min(R[0],J),R[1]=Math.min(R[1],K),R[2]=Math.min(R[2],W),j=Math.min(j,Q),F[0]=Math.max(F[0],J),F[1]=Math.max(F[1],K),F[2]=Math.max(F[2],W),N=Math.max(N,Q),H+=1}}for(t.intensityBounds&&(j=+t.intensityBounds[0],N=+t.intensityBounds[1]),o=6;o<V;o+=10)U[o]=(U[o]-j)/(N-j);this._vertexCount=H,this._coordinateBuffer.update(U.subarray(0,V)),g.freeFloat(U),g.free(M.data),this.bounds=[R,F],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===j&&this.intensityBounds[1]===N||(r=!0),this.intensityBounds=[j,N]}if(\"levels\"in t){var $=t.levels;for($=Array.isArray($[0])?$.slice():[[],[],$],o=0;o<3;++o)$[o]=$[o].slice(),$.sort(function(t,e){return t-e});t:for(o=0;o<3;++o){if($[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<$[o].length;++y)if($[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=$}if(r){b=this._field,a=this.shape;for(var tt=[],et=0;et<3;++et){$=this.contourLevels[et];var rt=[],nt=[],it=[0,0,0];for(o=0;o<$.length;++o){var at=w(this._field[et],$[o]);rt.push(tt.length/5|0),H=0;t:for(y=0;y<at.cells.length;++y){var ot=at.cells[y];for(Y=0;Y<2;++Y){var st=at.positions[ot[Y]],lt=st[0],ut=0|Math.floor(lt),ct=lt-ut,ht=st[1],ft=0|Math.floor(ht),dt=ht-ft,pt=!1;e:for(var mt=0;mt<3;++mt){it[mt]=0;var vt=(et+mt+1)%3;for(q=0;q<2;++q){var gt=q?ct:1-ct;for(X=0|Math.min(Math.max(ut+q,0),a[0]),G=0;G<2;++G){var yt=G?dt:1-dt;if(Z=0|Math.min(Math.max(ft+G,0),a[1]),W=mt<2?this._field[vt].get(X,Z):(this.intensity.get(X,Z)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(W)||isNaN(W)){pt=!0;break e}var bt=gt*yt;it[mt]+=bt*W}}}if(pt){if(Y>0){for(var xt=0;xt<5;++xt)tt.pop();H-=1}continue t}tt.push(it[0],it[1],st[0],st[1],it[2]),H+=1}}nt.push(H)}this._contourOffsets[et]=rt,this._contourCounts[et]=nt}var _t=g.mallocFloat(tt.length);for(o=0;o<tt.length;++o)_t[o]=tt[o];this._contourBuffer.update(_t),g.freeFloat(_t)}t.colormap&&this._colorMap.setPixels(i(t.colormap))},F.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<3;++t)g.freeFloat(this._field[t].data)},F.highlight=function(t){if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(var e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;var r;if(r=this.snapToData?t.dataCoordinate:t.position,this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=g.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var s=(o+1)%3,l=(o+2)%3,u=this._field[o],c=this._field[s],h=this._field[l],f=(this.intensity,w(u,r[o])),d=f.cells,p=f.positions;for(this._dynamicOffsets[o]=n,e=0;e<d.length;++e)for(var m=d[e],v=0;v<2;++v){var y=p[m[v]],b=+y[0],x=0|b,_=0|Math.min(x+1,i[0]),M=b-x,k=1-M,A=+y[1],T=0|A,S=0|Math.min(T+1,i[1]),E=A-T,L=1-E,C=k*L,I=k*E,z=M*L,D=M*E,P=C*c.get(x,T)+I*c.get(x,S)+z*c.get(_,T)+D*c.get(_,S),O=C*h.get(x,T)+I*h.get(x,S)+z*h.get(_,T)+D*h.get(_,S);if(isNaN(P)||isNaN(O)){v&&(n-=1);break}a[2*n+0]=P,a[2*n+1]=O,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)),g.freeFloat(a)}}},{\"./lib/shaders\":265,\"binary-search-bounds\":66,\"bit-twiddle\":67,colormap:99,\"gl-buffer\":156,\"gl-mat4/invert\":181,\"gl-mat4/multiply\":183,\"gl-texture2d\":267,\"gl-vao\":271,ndarray:467,\"ndarray-gradient\":458,\"ndarray-ops\":461,\"ndarray-pack\":462,\"surface-nets\":531,\"typedarray-pool\":541}],267:[function(t,e,r){\"use strict\";function n(t){g=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],y=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],b=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function i(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}function a(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");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 o(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}function s(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function l(t,e,r,n,i,a,o,l){var u=l.dtype,c=l.shape.slice();if(c.length<2||c.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var h=0,f=0,d=s(c,l.stride.slice());\"float32\"===u?h=t.FLOAT:\"float64\"===u?(h=t.FLOAT,d=!1,u=\"float32\"):\"uint8\"===u?h=t.UNSIGNED_BYTE:(h=t.UNSIGNED_BYTE,d=!1,u=\"uint8\");if(2===c.length)f=t.LUMINANCE,c=[c[0],c[1],1],l=p(l.data,c,[l.stride[0],l.stride[1],1],l.offset);else{if(3!==c.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===c[2])f=t.ALPHA;else if(2===c[2])f=t.LUMINANCE_ALPHA;else if(3===c[2])f=t.RGB;else{if(4!==c[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");f=t.RGBA}c[2]}if(f!==t.LUMINANCE&&f!==t.ALPHA||i!==t.LUMINANCE&&i!==t.ALPHA||(f=i),f!==i)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var g=l.size,y=o.indexOf(n)<0;if(y&&o.push(n),h===a&&d)0===l.offset&&l.data.length===g?y?t.texImage2D(t.TEXTURE_2D,n,i,c[0],c[1],0,i,a,l.data):t.texSubImage2D(t.TEXTURE_2D,n,e,r,c[0],c[1],i,a,l.data):y?t.texImage2D(t.TEXTURE_2D,n,i,c[0],c[1],0,i,a,l.data.subarray(l.offset,l.offset+g)):t.texSubImage2D(t.TEXTURE_2D,n,e,r,c[0],c[1],i,a,l.data.subarray(l.offset,l.offset+g));else{var b;b=a===t.FLOAT?v.mallocFloat32(g):v.mallocUint8(g);var _=p(b,c,[c[2],c[2]*c[0],1]);h===t.FLOAT&&a===t.UNSIGNED_BYTE?x(_,l):m.assign(_,l),y?t.texImage2D(t.TEXTURE_2D,n,i,c[0],c[1],0,i,a,b.subarray(0,g)):t.texSubImage2D(t.TEXTURE_2D,n,e,r,c[0],c[1],i,a,b.subarray(0,g)),a===t.FLOAT?v.freeFloat32(b):v.freeUint8(b)}}function u(t){var e=t.createTexture();return 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n=t(\"./literals\");e.exports=n.slice().concat([\"layout\",\"centroid\",\"smooth\",\"case\",\"mat2x2\",\"mat2x3\",\"mat2x4\",\"mat3x2\",\"mat3x3\",\"mat3x4\",\"mat4x2\",\"mat4x3\",\"mat4x4\",\"uint\",\"uvec2\",\"uvec3\",\"uvec4\",\"samplerCubeShadow\",\"sampler2DArray\",\"sampler2DArrayShadow\",\"isampler2D\",\"isampler3D\",\"isamplerCube\",\"isampler2DArray\",\"usampler2D\",\"usampler3D\",\"usamplerCube\",\"usampler2DArray\",\"coherent\",\"restrict\",\"readonly\",\"writeonly\",\"resource\",\"atomic_uint\",\"noperspective\",\"patch\",\"sample\",\"subroutine\",\"common\",\"partition\",\"active\",\"filter\",\"image1D\",\"image2D\",\"image3D\",\"imageCube\",\"iimage1D\",\"iimage2D\",\"iimage3D\",\"iimageCube\",\"uimage1D\",\"uimage2D\",\"uimage3D\",\"uimageCube\",\"image1DArray\",\"image2DArray\",\"iimage1DArray\",\"iimage2DArray\",\"uimage1DArray\",\"uimage2DArray\",\"image1DShadow\",\"image2DShadow\",\"image1DArrayShadow\",\"image2DArrayShadow\",\"imageBuffer\",\"iimageBuffer\",\"uimageBuffer\",\"sampler1DArray\",\"sampler1DArrayShadow\",\"isampler1D\",\"isampler1DArray\",\"usampler1D\",\"usampler1DArray\",\"isampler2DRect\",\"usampler2DRect\",\"samplerBuffer\",\"isamplerBuffer\",\"usamplerBuffer\",\"sampler2DMS\",\"isampler2DMS\",\"usampler2DMS\",\"sampler2DMSArray\",\"isampler2DMSArray\",\"usampler2DMSArray\"])},{\"./literals\":284}],284:[function(t,e,r){e.exports=[\"precision\",\"highp\",\"mediump\",\"lowp\",\"attribute\",\"const\",\"uniform\",\"varying\",\"break\",\"continue\",\"do\",\"for\",\"while\",\"if\",\"else\",\"in\",\"out\",\"inout\",\"float\",\"int\",\"void\",\"bool\",\"true\",\"false\",\"discard\",\"return\",\"mat2\",\"mat3\",\"mat4\",\"vec2\",\"vec3\",\"vec4\",\"ivec2\",\"ivec3\",\"ivec4\",\"bvec2\",\"bvec3\",\"bvec4\",\"sampler1D\",\"sampler2D\",\"sampler3D\",\"samplerCube\",\"sampler1DShadow\",\"sampler2DShadow\",\"struct\",\"asm\",\"class\",\"union\",\"enum\",\"typedef\",\"template\",\"this\",\"packed\",\"goto\",\"switch\",\"default\",\"inline\",\"noinline\",\"volatile\",\"public\",\"static\",\"extern\",\"external\",\"interface\",\"long\",\"short\",\"double\",\"half\",\"fixed\",\"unsigned\",\"input\",\"output\",\"hvec2\",\"hvec3\",\"hvec4\",\"dvec2\",\"dvec3\",\"dvec4\",\"fvec2\",\"fvec3\",\"fvec4\",\"sampler2DRect\",\"sampler3DRect\",\"sampler2DRectShadow\",\"sizeof\",\"cast\",\"namespace\",\"using\"]},{}],285:[function(t,e,r){e.exports=[\"<<=\",\">>=\",\"++\",\"--\",\"<<\",\">>\",\"<=\",\">=\",\"==\",\"!=\",\"&&\",\"||\",\"+=\",\"-=\",\"*=\",\"/=\",\"%=\",\"&=\",\"^^\",\"^=\",\"|=\",\"(\",\")\",\"[\",\"]\",\".\",\"!\",\"~\",\"*\",\"/\",\"%\",\"+\",\"-\",\"<\",\">\",\"&\",\"^\",\"|\",\"?\",\":\",\"=\",\",\",\";\",\"{\",\"}\"]},{}],286:[function(t,e,r){function n(t,e){var r=i(e),n=[];return n=n.concat(r(t)),n=n.concat(r(null))}var i=t(\"./index\");e.exports=n},{\"./index\":280}],287:[function(t,e,r){\"use strict\";function n(t,e,r){var n=this.cells=[];if(t instanceof ArrayBuffer){this.arrayBuffer=t;var a=new Int32Array(this.arrayBuffer);t=a[0],e=a[1],r=a[2],this.d=e+2*r;for(var o=0;o<this.d*this.d;o++){var s=a[i+o],l=a[i+o+1];n.push(s===l?null:a.subarray(s,l))}var u=a[i+n.length],c=a[i+n.length+1];this.keys=a.subarray(u,c),this.bboxes=a.subarray(c),this.insert=this._insertReadonly}else{this.d=e+2*r;for(var h=0;h<this.d*this.d;h++)n.push([]);this.keys=[],this.bboxes=[]}this.n=e,this.extent=t,this.padding=r,this.scale=e/t,this.uid=0;var f=r/e*t;this.min=-f,this.max=t+f}e.exports=n;var i=3;n.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertCell,this.uid++),this.keys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},n.prototype._insertReadonly=function(){throw\"Cannot insert into a 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Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},n.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=i+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var a=new Int32Array(e+r+this.keys.length+this.bboxes.length);a[0]=this.extent,a[1]=this.n,a[2]=this.padding;for(var o=e,s=0;s<t.length;s++){var l=t[s];a[i+s]=o,a.set(l,o),o+=l.length}return a[i+t.length]=o,a.set(this.keys,o),o+=this.keys.length,a[i+t.length+1]=o,a.set(this.bboxes,o),o+=this.bboxes.length,a.buffer}},{}],288:[function(t,e,r){(function(r){\"use strict\";var n,i=t(\"is-browser\");n=\"function\"==typeof r.matchMedia?!r.matchMedia(\"(hover: none)\").matches:i,e.exports=n}).call(this,\"undefined\"!=typeof global?global:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{\"is-browser\":294}],289:[function(t,e,r){r.read=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,u=l>>1,c=-7,h=r?i-1:0,f=r?-1:1,d=t[e+h];for(h+=f,a=d&(1<<-c)-1,d>>=-c,c+=s;c>0;a=256*a+t[e+h],h+=f,c-=8);for(o=a&(1<<-c)-1,a>>=-c,c+=n;c>0;o=256*o+t[e+h],h+=f,c-=8);if(0===a)a=1-u;else{if(a===l)return o?NaN:1/0*(d?-1:1);o+=Math.pow(2,n),a-=u}return(d?-1:1)*o*Math.pow(2,a-n)},r.write=function(t,e,r,n,i,a){var o,s,l,u=8*a-i-1,c=(1<<u)-1,h=c>>1,f=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,d=n?0:a-1,p=n?1:-1,m=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=c):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),e+=o+h>=1?f/l:f*Math.pow(2,1-h),e*l>=2&&(o++,l/=2),o+h>=c?(s=0,o=c):o+h>=1?(s=(e*l-1)*Math.pow(2,i),o+=h):(s=e*Math.pow(2,h-1)*Math.pow(2,i),o=0));i>=8;t[r+d]=255&s,d+=p,s/=256,i-=8);for(o=o<<i|s,u+=i;u>0;t[r+d]=255&o,d+=p,o/=256,u-=8);t[r+d-p]|=128*m}},{}],290:[function(t,e,r){\"use strict\";function n(t,e,r){this.vertices=t,this.adjacent=e,this.boundary=r,this.lastVisited=-1}function 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f=c[h];i[h]=f<0?e:a[f]}var d=this.orient();if(d>0)return u;u.lastVisited=-n,0===d&&o.push(u)}}}return null},f.walk=function(t,e){var r=this.vertices.length-1,n=this.dimension,i=this.vertices,a=this.tuple,o=e?this.interior.length*Math.random()|0:this.interior.length-1,s=this.interior[o];t:for(;!s.boundary;){for(var l=s.vertices,u=s.adjacent,c=0;c<=n;++c)a[c]=i[l[c]];s.lastVisited=r;for(var c=0;c<=n;++c){var h=u[c];if(!(h.lastVisited>=r)){var f=a[c];a[c]=t;var d=this.orient();if(a[c]=f,d<0){s=h;continue t}h.boundary?h.lastVisited=-r:h.lastVisited=r}}return}return s},f.addPeaks=function(t,e){var r=this.vertices.length-1,o=this.dimension,s=this.vertices,l=this.tuple,u=this.interior,c=this.simplices,h=[e];e.lastVisited=r,e.vertices[e.vertices.indexOf(-1)]=r,e.boundary=!1,u.push(e);for(var f=[];h.length>0;){var e=h.pop(),d=e.vertices,p=e.adjacent,m=d.indexOf(r);if(!(m<0))for(var v=0;v<=o;++v)if(v!==m){var g=p[v];if(g.boundary&&!(g.lastVisited>=r)){var y=g.vertices;if(g.lastVisited!==-r){for(var b=0,x=0;x<=o;++x)y[x]<0?(b=x,l[x]=t):l[x]=s[y[x]];var _=this.orient();if(_>0){y[b]=r,g.boundary=!1,u.push(g),h.push(g),g.lastVisited=r;continue}g.lastVisited=-r}var w=g.adjacent,M=d.slice(),k=p.slice(),A=new n(M,k,!0);c.push(A);var T=w.indexOf(e);if(!(T<0)){w[T]=A,k[m]=g,M[v]=-1,k[v]=e,p[v]=A,A.flip();for(var x=0;x<=o;++x){var S=M[x];if(!(S<0||S===r)){for(var E=new Array(o-1),L=0,C=0;C<=o;++C){var I=M[C];I<0||C===x||(E[L++]=I)}f.push(new i(E,A,x))}}}}}}f.sort(a);for(var v=0;v+1<f.length;v+=2){var z=f[v],D=f[v+1],P=z.index,O=D.index;P<0||O<0||(z.cell.adjacent[z.index]=D.cell,D.cell.adjacent[D.index]=z.cell)}},f.insert=function(t,e){var r=this.vertices;r.push(t);var n=this.walk(t,e);if(n){for(var i=this.dimension,a=this.tuple,o=0;o<=i;++o){var s=n.vertices[o];a[o]=s<0?t:r[s]}var l=this.orient(a);l<0||(0!==l||(n=this.handleBoundaryDegeneracy(n,t)))&&this.addPeaks(t,n)}},f.boundary=function(){for(var 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vec2 u_extrude_scale;\\nuniform float u_devicepixelratio;\\n\\nattribute vec2 a_pos;\\n\\n#pragma mapbox: define lowp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n\\nvarying vec2 v_extrude;\\nvarying lowp float v_antialiasblur;\\n\\nvoid main(void) {\\n    #pragma mapbox: initialize lowp vec4 color\\n    #pragma mapbox: initialize mediump float radius\\n    #pragma mapbox: initialize lowp float blur\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    // unencode the extrusion vector that we snuck into the a_pos vector\\n    v_extrude = vec2(mod(a_pos, 2.0) * 2.0 - 1.0);\\n\\n    vec2 extrude = v_extrude * radius * u_extrude_scale;\\n    // multiply a_pos by 0.5, since we had it * 2 in order to sneak\\n    // in extrusion data\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5), 0, 1);\\n\\n    if (u_scale_with_map) {\\n        gl_Position.xy += extrude;\\n    } else {\\n        gl_Position.xy += extrude * gl_Position.w;\\n    }\\n\\n    // This is a minimum blur distance that serves as a faux-antialiasing for\\n    // the circle. since blur is a ratio of the circle's size and the intent is\\n    // to keep the blur at roughly 1px, the two are inversely related.\\n    v_antialiasblur = 1.0 / u_devicepixelratio / radius;\\n}\\n\"},line:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform lowp vec4 u_color;\\nuniform lowp float u_opacity;\\nuniform float u_blur;\\n\\nvarying vec2 v_linewidth;\\nvarying vec2 v_normal;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_linewidth.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_linewidth.t) or when fading out\\n    // (v_linewidth.s)\\n    float blur = u_blur * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_linewidth.t - blur), v_linewidth.s - dist) / blur, 0.0, 1.0);\\n\\n    gl_FragColor = u_color * (alpha * u_opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\nattribute vec2 a_pos;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform mediump float u_linewidth;\\nuniform mediump float u_gapwidth;\\nuniform mediump float u_antialiasing;\\nuniform mediump float u_extra;\\nuniform mat2 u_antialiasingmatrix;\\nuniform mediump float u_offset;\\nuniform mediump float u_blur;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n\\n    // We store the texture normals in the most insignificant bit\\n    // transform y so that 0 => -1 and 1 => 1\\n    // In the texture normal, x is 0 if the normal points straight up/down and 1 if it's a round cap\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = mod(a_pos, 2.0);\\n    normal.y = sign(normal.y - 0.5);\\n    v_normal = normal;\\n\\n    float inset = u_gapwidth + (u_gapwidth > 0.0 ? u_antialiasing : 0.0);\\n    float outset = u_gapwidth + u_linewidth * (u_gapwidth > 0.0 ? 2.0 : 1.0) + u_antialiasing;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset = u_offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    // Remove the texture normal bit of the position before scaling it with the\\n    // model/view matrix.\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5) + (offset + dist) / u_ratio, 0.0, 1.0);\\n\\n    // position of y on the screen\\n    float y = gl_Position.y / gl_Position.w;\\n\\n    // how much features are squished in the y direction by the tilt\\n    float squish_scale = length(a_extrude) / length(u_antialiasingmatrix * a_extrude);\\n\\n    // how much features are squished in all directions by the perspectiveness\\n    float perspective_scale = 1.0 / (1.0 - min(y * u_extra, 0.9));\\n\\n    v_linewidth = vec2(outset, inset);\\n    v_gamma_scale = perspective_scale * squish_scale;\\n}\\n\"},linepattern:{\n",
       "fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_blur;\\n\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform float u_fade;\\nuniform float u_opacity;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying float v_linesofar;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_linewidth.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_linewidth.t) or when fading out\\n    // (v_linewidth.s)\\n    float blur = u_blur * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_linewidth.t - blur), v_linewidth.s - dist) / blur, 0.0, 1.0);\\n\\n    float x_a = mod(v_linesofar / u_pattern_size_a.x, 1.0);\\n    float x_b = mod(v_linesofar / u_pattern_size_b.x, 1.0);\\n    float y_a = 0.5 + (v_normal.y * v_linewidth.s / u_pattern_size_a.y);\\n    float y_b = 0.5 + (v_normal.y * v_linewidth.s / u_pattern_size_b.y);\\n    vec2 pos_a = mix(u_pattern_tl_a, u_pattern_br_a, vec2(x_a, y_a));\\n    vec2 pos_b = mix(u_pattern_tl_b, u_pattern_br_b, vec2(x_b, y_b));\\n\\n    vec4 color = mix(texture2D(u_image, pos_a), texture2D(u_image, pos_b), u_fade);\\n\\n    alpha *= u_opacity;\\n\\n    gl_FragColor = color * alpha;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\n// We scale the distance before adding it to the buffers so that we can store\\n// long distances for long segments. Use this value to unscale the distance.\\n#define LINE_DISTANCE_SCALE 2.0\\n\\nattribute vec2 a_pos;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform mediump float u_linewidth;\\nuniform mediump float u_gapwidth;\\nuniform mediump float u_antialiasing;\\nuniform mediump float u_extra;\\nuniform mat2 u_antialiasingmatrix;\\nuniform mediump float u_offset;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying float v_linesofar;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n    float a_linesofar = (floor(a_data.z / 4.0) + a_data.w * 64.0) * LINE_DISTANCE_SCALE;\\n\\n    // We store the texture normals in the most insignificant bit\\n    // transform y so that 0 => -1 and 1 => 1\\n    // In the texture normal, x is 0 if the normal points straight up/down and 1 if it's a round cap\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = mod(a_pos, 2.0);\\n    normal.y = sign(normal.y - 0.5);\\n    v_normal = normal;\\n\\n    float inset = u_gapwidth + (u_gapwidth > 0.0 ? u_antialiasing : 0.0);\\n    float outset = u_gapwidth + u_linewidth * (u_gapwidth > 0.0 ? 2.0 : 1.0) + u_antialiasing;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset = u_offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    // Remove the texture normal bit of the position before scaling it with the\\n    // model/view matrix.\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5) + (offset + dist) / u_ratio, 0.0, 1.0);\\n    v_linesofar = a_linesofar;\\n\\n    // position of y on the screen\\n    float y = gl_Position.y / gl_Position.w;\\n\\n    // how much features are squished in the y direction by the tilt\\n    float squish_scale = length(a_extrude) / length(u_antialiasingmatrix * a_extrude);\\n\\n    // how much features are squished in all directions by the perspectiveness\\n    float perspective_scale = 1.0 / (1.0 - min(y * u_extra, 0.9));\\n\\n    v_linewidth = vec2(outset, inset);\\n    v_gamma_scale = perspective_scale * squish_scale;\\n}\\n\"},linesdfpattern:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform lowp vec4 u_color;\\nuniform lowp float u_opacity;\\n\\nuniform float u_blur;\\nuniform sampler2D u_image;\\nuniform float u_sdfgamma;\\nuniform float u_mix;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying vec2 v_tex_a;\\nvarying vec2 v_tex_b;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_linewidth.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_linewidth.t) or when fading out\\n    // (v_linewidth.s)\\n    float blur = u_blur * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_linewidth.t - blur), v_linewidth.s - dist) / blur, 0.0, 1.0);\\n\\n    float sdfdist_a = texture2D(u_image, v_tex_a).a;\\n    float sdfdist_b = texture2D(u_image, v_tex_b).a;\\n    float sdfdist = mix(sdfdist_a, sdfdist_b, u_mix);\\n    alpha *= smoothstep(0.5 - u_sdfgamma, 0.5 + u_sdfgamma, sdfdist);\\n\\n    gl_FragColor = u_color * (alpha * u_opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\n// We scale the distance before adding it to the buffers so that we can store\\n// long distances for long segments. Use this value to unscale the distance.\\n#define LINE_DISTANCE_SCALE 2.0\\n\\nattribute vec2 a_pos;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform mediump float u_linewidth;\\nuniform mediump float u_gapwidth;\\nuniform mediump float u_antialiasing;\\nuniform vec2 u_patternscale_a;\\nuniform float u_tex_y_a;\\nuniform vec2 u_patternscale_b;\\nuniform float u_tex_y_b;\\nuniform float u_extra;\\nuniform mat2 u_antialiasingmatrix;\\nuniform mediump float u_offset;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying vec2 v_tex_a;\\nvarying vec2 v_tex_b;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n    float a_linesofar = (floor(a_data.z / 4.0) + a_data.w * 64.0) * LINE_DISTANCE_SCALE;\\n\\n    // We store the texture normals in the most insignificant bit\\n    // transform y so that 0 => -1 and 1 => 1\\n    // In the texture normal, x is 0 if the normal points straight up/down and 1 if it's a round cap\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = mod(a_pos, 2.0);\\n    normal.y = sign(normal.y - 0.5);\\n    v_normal = normal;\\n\\n    float inset = u_gapwidth + (u_gapwidth > 0.0 ? u_antialiasing : 0.0);\\n    float outset = u_gapwidth + u_linewidth * (u_gapwidth > 0.0 ? 2.0 : 1.0) + u_antialiasing;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset = u_offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    // Remove the texture normal bit of the position before scaling it with the\\n    // model/view matrix.\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5) + (offset + dist) / u_ratio, 0.0, 1.0);\\n\\n    v_tex_a = vec2(a_linesofar * u_patternscale_a.x, normal.y * u_patternscale_a.y + u_tex_y_a);\\n    v_tex_b = vec2(a_linesofar * u_patternscale_b.x, normal.y * u_patternscale_b.y + u_tex_y_b);\\n\\n    // position of y on the screen\\n    float y = gl_Position.y / gl_Position.w;\\n\\n    // how much features are squished in the y direction by the tilt\\n    float squish_scale = length(a_extrude) / length(u_antialiasingmatrix * a_extrude);\\n\\n    // how much features are squished in all directions by the perspectiveness\\n    float perspective_scale = 1.0 / (1.0 - min(y * u_extra, 0.9));\\n\\n    v_linewidth = vec2(outset, inset);\\n    v_gamma_scale = perspective_scale * squish_scale;\\n}\\n\"},outline:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n#pragma mapbox: define lowp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\n\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp vec4 outline_color\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    float dist = length(v_pos - gl_FragCoord.xy);\\n    float alpha = smoothstep(1.0, 0.0, dist);\\n    gl_FragColor = outline_color * (alpha * opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nattribute vec2 a_pos;\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_world;\\n\\nvarying vec2 v_pos;\\n\\n#pragma mapbox: define lowp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp vec4 outline_color\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    v_pos = (gl_Position.xy / gl_Position.w + 1.0) / 2.0 * u_world;\\n}\\n\"},outlinepattern:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_opacity;\\nuniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform float u_mix;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    vec2 imagecoord = mod(v_pos_a, 1.0);\\n    vec2 pos = mix(u_pattern_tl_a, u_pattern_br_a, imagecoord);\\n    vec4 color1 = texture2D(u_image, pos);\\n\\n    vec2 imagecoord_b = mod(v_pos_b, 1.0);\\n    vec2 pos2 = mix(u_pattern_tl_b, u_pattern_br_b, imagecoord_b);\\n    vec4 color2 = texture2D(u_image, pos2);\\n\\n    // find distance to outline for alpha interpolation\\n\\n    float dist = length(v_pos - gl_FragCoord.xy);\\n    float alpha = smoothstep(1.0, 0.0, dist);\\n    \\n\\n    gl_FragColor = mix(color1, color2, u_mix) * alpha * u_opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pixel_coord_upper;\\nuniform vec2 u_pixel_coord_lower;\\nuniform float u_scale_a;\\nuniform float u_scale_b;\\nuniform float u_tile_units_to_pixels;\\n\\nattribute vec2 a_pos;\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_world;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    vec2 scaled_size_a = u_scale_a * u_pattern_size_a;\\n    vec2 scaled_size_b = u_scale_b * u_pattern_size_b;\\n\\n    // the correct offset needs to be calculated.\\n    //\\n    // The offset depends on how many pixels are between the world origin and\\n    // the edge of the tile:\\n    // vec2 offset = mod(pixel_coord, size)\\n    //\\n    // At high zoom levels there are a ton of pixels between the world origin\\n    // and the edge of the tile. The glsl spec only guarantees 16 bits of\\n    // precision for highp floats. We need more than that.\\n    //\\n    // The pixel_coord is passed in as two 16 bit values:\\n    // pixel_coord_upper = floor(pixel_coord / 2^16)\\n    // pixel_coord_lower = mod(pixel_coord, 2^16)\\n    //\\n    // The offset is calculated in a series of steps that should preserve this precision:\\n    vec2 offset_a = mod(mod(mod(u_pixel_coord_upper, scaled_size_a) * 256.0, scaled_size_a) * 256.0 + u_pixel_coord_lower, scaled_size_a);\\n    vec2 offset_b = mod(mod(mod(u_pixel_coord_upper, scaled_size_b) * 256.0, scaled_size_b) * 256.0 + u_pixel_coord_lower, scaled_size_b);\\n\\n    v_pos_a = (u_tile_units_to_pixels * a_pos + offset_a) / scaled_size_a;\\n    v_pos_b = (u_tile_units_to_pixels * a_pos + offset_b) / scaled_size_b;\\n\\n    v_pos = (gl_Position.xy / gl_Position.w + 1.0) / 2.0 * u_world;\\n}\\n\"},pattern:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_opacity;\\nuniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform float u_mix;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\n\\nvoid main() {\\n\\n    vec2 imagecoord = mod(v_pos_a, 1.0);\\n    vec2 pos = mix(u_pattern_tl_a, u_pattern_br_a, imagecoord);\\n    vec4 color1 = texture2D(u_image, pos);\\n\\n    vec2 imagecoord_b = mod(v_pos_b, 1.0);\\n    vec2 pos2 = mix(u_pattern_tl_b, u_pattern_br_b, imagecoord_b);\\n    vec4 color2 = texture2D(u_image, pos2);\\n\\n    gl_FragColor = mix(color1, color2, u_mix) * u_opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pixel_coord_upper;\\nuniform vec2 u_pixel_coord_lower;\\nuniform float u_scale_a;\\nuniform float u_scale_b;\\nuniform float u_tile_units_to_pixels;\\n\\nattribute vec2 a_pos;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    vec2 scaled_size_a = u_scale_a * u_pattern_size_a;\\n    vec2 scaled_size_b = u_scale_b * u_pattern_size_b;\\n\\n    // the correct offset needs to be calculated.\\n    //\\n    // The offset depends on how many pixels are between the world origin and\\n    // the edge of the tile:\\n    // vec2 offset = mod(pixel_coord, size)\\n    //\\n    // At high zoom levels there are a ton of pixels between the world origin\\n    // and the edge of the tile. The glsl spec only guarantees 16 bits of\\n    // precision for highp floats. We need more than that.\\n    //\\n    // The pixel_coord is passed in as two 16 bit values:\\n    // pixel_coord_upper = floor(pixel_coord / 2^16)\\n    // pixel_coord_lower = mod(pixel_coord, 2^16)\\n    //\\n    // The offset is calculated in a series of steps that should preserve this precision:\\n    vec2 offset_a = mod(mod(mod(u_pixel_coord_upper, scaled_size_a) * 256.0, scaled_size_a) * 256.0 + u_pixel_coord_lower, scaled_size_a);\\n    vec2 offset_b = mod(mod(mod(u_pixel_coord_upper, scaled_size_b) * 256.0, scaled_size_b) * 256.0 + u_pixel_coord_lower, scaled_size_b);\\n\\n    v_pos_a = (u_tile_units_to_pixels * a_pos + offset_a) / scaled_size_a;\\n    v_pos_b = (u_tile_units_to_pixels * a_pos + offset_b) / scaled_size_b;\\n}\\n\"},raster:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_opacity0;\\nuniform float u_opacity1;\\nuniform sampler2D u_image0;\\nuniform sampler2D u_image1;\\nvarying vec2 v_pos0;\\nvarying vec2 v_pos1;\\n\\nuniform float u_brightness_low;\\nuniform float u_brightness_high;\\n\\nuniform float u_saturation_factor;\\nuniform float u_contrast_factor;\\nuniform vec3 u_spin_weights;\\n\\nvoid main() {\\n\\n    // read and cross-fade colors from the main and parent tiles\\n    vec4 color0 = texture2D(u_image0, v_pos0);\\n    vec4 color1 = texture2D(u_image1, v_pos1);\\n    vec4 color = color0 * u_opacity0 + color1 * u_opacity1;\\n    vec3 rgb = color.rgb;\\n\\n    // spin\\n    rgb = vec3(\\n        dot(rgb, u_spin_weights.xyz),\\n        dot(rgb, u_spin_weights.zxy),\\n        dot(rgb, u_spin_weights.yzx));\\n\\n    // saturation\\n    float average = (color.r + color.g + color.b) / 3.0;\\n    rgb += (average - rgb) * u_saturation_factor;\\n\\n    // contrast\\n    rgb = (rgb - 0.5) * u_contrast_factor + 0.5;\\n\\n    // brightness\\n    vec3 u_high_vec = vec3(u_brightness_low, u_brightness_low, u_brightness_low);\\n    vec3 u_low_vec = vec3(u_brightness_high, u_brightness_high, u_brightness_high);\\n\\n    gl_FragColor = vec4(mix(u_high_vec, u_low_vec, rgb), color.a);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_tl_parent;\\nuniform float u_scale_parent;\\nuniform float u_buffer_scale;\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_texture_pos;\\n\\nvarying vec2 v_pos0;\\nvarying vec2 v_pos1;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    v_pos0 = (((a_texture_pos / 32767.0) - 0.5) / u_buffer_scale ) + 0.5;\\n    v_pos1 = (v_pos0 * u_scale_parent) + u_tl_parent;\\n}\\n\"},icon:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform sampler2D u_texture;\\nuniform sampler2D u_fadetexture;\\nuniform lowp float u_opacity;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\n\\nvoid main() {\\n    lowp float alpha = texture2D(u_fadetexture, v_fade_tex).a * u_opacity;\\n    gl_FragColor = texture2D(u_texture, v_tex) * alpha;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_offset;\\nattribute vec2 a_texture_pos;\\nattribute vec4 a_data;\\n\\n\\n// matrix is for the vertex position.\\nuniform mat4 u_matrix;\\n\\nuniform mediump float u_zoom;\\nuniform bool u_rotate_with_map;\\nuniform vec2 u_extrude_scale;\\n\\nuniform vec2 u_texsize;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\n\\nvoid main() {\\n    vec2 a_tex = a_texture_pos.xy;\\n    mediump float a_labelminzoom = a_data[0];\\n    mediump vec2 a_zoom = a_data.pq;\\n    mediump float a_minzoom = a_zoom[0];\\n    mediump float a_maxzoom = a_zoom[1];\\n\\n    // u_zoom is the current zoom level adjusted for the change in font size\\n    mediump float z = 2.0 - step(a_minzoom, u_zoom) - (1.0 - step(a_maxzoom, u_zoom));\\n\\n    vec2 extrude = u_extrude_scale * (a_offset / 64.0);\\n    if (u_rotate_with_map) {\\n        gl_Position = u_matrix * vec4(a_pos + extrude, 0, 1);\\n        gl_Position.z += z * gl_Position.w;\\n    } else {\\n        gl_Position = u_matrix * vec4(a_pos, 0, 1) + vec4(extrude, 0, 0);\\n    }\\n\\n    v_tex = a_tex / u_texsize;\\n    v_fade_tex = vec2(a_labelminzoom / 255.0, 0.0);\\n}\\n\"},sdf:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform sampler2D u_texture;\\nuniform sampler2D u_fadetexture;\\nuniform lowp vec4 u_color;\\nuniform lowp float u_opacity;\\nuniform lowp float u_buffer;\\nuniform lowp float u_gamma;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    lowp float dist = texture2D(u_texture, v_tex).a;\\n    lowp float fade_alpha = texture2D(u_fadetexture, v_fade_tex).a;\\n    lowp float gamma = u_gamma * v_gamma_scale;\\n    lowp float alpha = smoothstep(u_buffer - gamma, u_buffer + gamma, dist) * fade_alpha;\\n\\n    gl_FragColor = u_color * (alpha * u_opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nconst float PI = 3.141592653589793;\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_offset;\\nattribute vec2 a_texture_pos;\\nattribute vec4 a_data;\\n\\n\\n// matrix is for the vertex position.\\nuniform mat4 u_matrix;\\n\\nuniform mediump float u_zoom;\\nuniform bool u_rotate_with_map;\\nuniform bool u_pitch_with_map;\\nuniform mediump float u_pitch;\\nuniform mediump float u_bearing;\\nuniform mediump float u_aspect_ratio;\\nuniform vec2 u_extrude_scale;\\n\\nuniform vec2 u_texsize;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_tex = a_texture_pos.xy;\\n    mediump float a_labelminzoom = a_data[0];\\n    mediump vec2 a_zoom = a_data.pq;\\n    mediump float a_minzoom = a_zoom[0];\\n    mediump float a_maxzoom = a_zoom[1];\\n\\n    // u_zoom is the current zoom level adjusted for the change in font size\\n    mediump float z = 2.0 - step(a_minzoom, u_zoom) - (1.0 - step(a_maxzoom, u_zoom));\\n\\n    // pitch-alignment: map\\n    // rotation-alignment: map | viewport\\n    if (u_pitch_with_map) {\\n        lowp float angle = u_rotate_with_map ? (a_data[1] / 256.0 * 2.0 * PI) : u_bearing;\\n        lowp float asin = sin(angle);\\n        lowp float acos = cos(angle);\\n        mat2 RotationMatrix = mat2(acos, asin, -1.0 * asin, acos);\\n        vec2 offset = RotationMatrix * a_offset;\\n        vec2 extrude = u_extrude_scale * (offset / 64.0);\\n        gl_Position = u_matrix * vec4(a_pos + extrude, 0, 1);\\n        gl_Position.z += z * gl_Position.w;\\n    // pitch-alignment: viewport\\n    // rotation-alignment: map\\n    } else if (u_rotate_with_map) {\\n        // foreshortening factor to apply on pitched maps\\n        // as a label goes from horizontal <=> vertical in angle\\n        // it goes from 0% foreshortening to up to around 70% foreshortening\\n        lowp float pitchfactor = 1.0 - cos(u_pitch * sin(u_pitch * 0.75));\\n\\n        lowp float lineangle = a_data[1] / 256.0 * 2.0 * PI;\\n\\n        // use the lineangle to position points a,b along the line\\n        // project the points and calculate the label angle in projected space\\n        // this calculation allows labels to be rendered unskewed on pitched maps\\n        vec4 a = u_matrix * vec4(a_pos, 0, 1);\\n        vec4 b = u_matrix * vec4(a_pos + vec2(cos(lineangle),sin(lineangle)), 0, 1);\\n        lowp float angle = atan((b[1]/b[3] - a[1]/a[3])/u_aspect_ratio, b[0]/b[3] - a[0]/a[3]);\\n        lowp float asin = sin(angle);\\n        lowp float acos = cos(angle);\\n        mat2 RotationMatrix = mat2(acos, -1.0 * asin, asin, acos);\\n\\n        vec2 offset = RotationMatrix * (vec2((1.0-pitchfactor)+(pitchfactor*cos(angle*2.0)), 1.0) * a_offset);\\n        vec2 extrude = u_extrude_scale * (offset / 64.0);\\n        gl_Position = u_matrix * vec4(a_pos, 0, 1) + vec4(extrude, 0, 0);\\n        gl_Position.z += z * gl_Position.w;\\n    // pitch-alignment: viewport\\n    // rotation-alignment: viewport\\n    } else {\\n        vec2 extrude = u_extrude_scale * (a_offset / 64.0);\\n        gl_Position = u_matrix * vec4(a_pos, 0, 1) + vec4(extrude, 0, 0);\\n    }\\n\\n    v_gamma_scale = (gl_Position.w - 0.5);\\n\\n    v_tex = a_tex / u_texsize;\\n    v_fade_tex = vec2(a_labelminzoom / 255.0, 0.0);\\n}\\n\"},collisionbox:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_zoom;\\nuniform float u_maxzoom;\\n\\nvarying float v_max_zoom;\\nvarying float v_placement_zoom;\\n\\nvoid main() {\\n\\n    float alpha = 0.5;\\n\\n    gl_FragColor = vec4(0.0, 1.0, 0.0, 1.0) * alpha;\\n\\n    if (v_placement_zoom > u_zoom) {\\n        gl_FragColor = vec4(1.0, 0.0, 0.0, 1.0) * alpha;\\n    }\\n\\n    if (u_zoom >= v_max_zoom) {\\n        gl_FragColor = vec4(0.0, 0.0, 0.0, 1.0) * alpha * 0.25;\\n    }\\n\\n    if (v_placement_zoom >= u_maxzoom) {\\n        gl_FragColor = vec4(0.0, 0.0, 1.0, 1.0) * alpha * 0.2;\\n    }\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_extrude;\\nattribute vec2 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform float u_scale;\\n\\nvarying float v_max_zoom;\\nvarying float v_placement_zoom;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos + a_extrude / u_scale, 0.0, 1.0);\\n\\n    v_max_zoom = a_data.x;\\n    v_placement_zoom = a_data.y;\\n}\\n\"}},e.exports.util=\"float evaluate_zoom_function_1(const vec4 values, const float t) {\\n    if (t < 1.0) {\\n        return mix(values[0], values[1], t);\\n    } else if (t < 2.0) {\\n        return mix(values[1], values[2], t - 1.0);\\n    } else {\\n        return mix(values[2], values[3], t - 2.0);\\n    }\\n}\\nvec4 evaluate_zoom_function_4(const vec4 value0, const vec4 value1, const vec4 value2, const vec4 value3, const float t) {\\n    if (t < 1.0) {\\n        return mix(value0, value1, t);\\n    } else if (t < 2.0) {\\n        return mix(value1, value2, t - 1.0);\\n    } else {\\n        return 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s=t(\"feature-filter\"),l=t(\"./array_group\"),u=t(\"./buffer_group\"),c=t(\"../util/util\"),h=t(\"../util/struct_array\"),f=t(\"assert\");e.exports=n,n.create=function(e){return new({fill:t(\"./bucket/fill_bucket\"),line:t(\"./bucket/line_bucket\"),circle:t(\"./bucket/circle_bucket\"),symbol:t(\"./bucket/symbol_bucket\")}[e.layer.type])(e)},n.EXTENT=8192,n.prototype.populateArrays=function(){this.createArrays(),this.recalculateStyleLayers();for(var t=0;t<this.features.length;t++)this.addFeature(this.features[t]);this.trimArrays()},n.prototype.prepareArrayGroup=function(t,e){var r=this.arrayGroups[t],n=r.length&&r[r.length-1];return n&&n.hasCapacityFor(e)||(n=new l({layoutVertexArrayType:this.programInterfaces[t].layoutVertexArrayType,elementArrayType:this.programInterfaces[t].elementArrayType,elementArrayType2:this.programInterfaces[t].elementArrayType2,paintVertexArrayTypes:this.paintVertexArrayTypes[t]}),n.index=r.length,r.push(n)),n},n.prototype.createArrays=function(){this.arrayGroups={},this.paintVertexArrayTypes={};for(var t in this.programInterfaces){this.arrayGroups[t]=[];var e=this.paintVertexArrayTypes[t]={},r=this.paintAttributes[t];for(var i in r)e[i]=new n.VertexArrayType(r[i].attributes)}},n.prototype.destroy=function(t){for(var e in this.bufferGroups)for(var r=this.bufferGroups[e],n=0;n<r.length;n++)r[n].destroy(t)},n.prototype.trimArrays=function(){for(var t in this.arrayGroups)for(var e=this.arrayGroups[t],r=0;r<e.length;r++)e[r].trim()},n.prototype.isEmpty=function(){for(var t in this.arrayGroups)for(var e=this.arrayGroups[t],r=0;r<e.length;r++)if(!e[r].isEmpty())return!1;return!0},n.prototype.getTransferables=function(t){for(var e in this.arrayGroups)for(var r=this.arrayGroups[e],n=0;n<r.length;n++)r[n].getTransferables(t)},n.prototype.setUniforms=function(t,e,r,n,i){for(var a=this.paintAttributes[e][n.id].uniforms,o=0;o<a.length;o++){var s=a[o],l=r[s.name];t[\"uniform\"+s.components+\"fv\"](l,s.getValue(n,i))}},n.prototype.serialize=function(){return{layerId:this.layer.id,zoom:this.zoom,arrays:c.mapObject(this.arrayGroups,function(t){return t.map(function(t){return t.serialize()})}),paintVertexArrayTypes:c.mapObject(this.paintVertexArrayTypes,function(t){return c.mapObject(t,function(t){return t.serialize()})}),childLayerIds:this.childLayers.map(function(t){return t.id})}},n.prototype.createFilter=function(){this.filter||(this.filter=s(this.layer.filter))};var d={lastIntegerZoom:1/0,lastIntegerZoomTime:0,lastZoom:0};n.prototype.recalculateStyleLayers=function(){for(var t=0;t<this.childLayers.length;t++)this.childLayers[t].recalculate(this.zoom,d)},n.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a=0;a<this.childLayers.length;a++)for(var o=this.childLayers[a],s=this.arrayGroups[t],l=n.index;l<s.length;l++){var u=s[l],c=u.layoutVertexArray.length,h=u.paintVertexArrays[o.id];h.resize(c);for(var f=this.paintAttributes[t][o.id].attributes,d=0;d<f.length;d++)for(var p=f[d],m=p.getValue(o,e,r),v=p.multiplier||1,g=p.components||1,y=l===n.index?i:0,b=y;b<c;b++)for(var x=h.get(b),_=0;_<g;_++){var w=g>1?p.name+_:p.name;x[w]=m[_]*v}}},n.VertexArrayType=function(t){return new h({members:t,alignment:4})},n.ElementArrayType=function(t){return new h({members:[{type:\"Uint16\",name:\"vertices\",components:t||3}]})}},{\"../util/struct_array\":440,\"../util/util\":442,\"./array_group\":328,\"./bucket/circle_bucket\":330,\"./bucket/fill_bucket\":331,\"./bucket/line_bucket\":332,\"./bucket/symbol_bucket\":333,\"./buffer_group\":335,assert:47,\"feature-filter\":132}],330:[function(t,e,r){\"use strict\";function n(){i.apply(this,arguments)}var i=t(\"../bucket\"),a=t(\"../../util/util\"),o=t(\"../load_geometry\"),s=i.EXTENT;e.exports=n,n.prototype=a.inherit(i,{}),n.prototype.addCircleVertex=function(t,e,r,n,i){return t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)},n.prototype.programInterfaces={circle:{layoutVertexArrayType:new i.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"}]),elementArrayType:new i.ElementArrayType,paintAttributes:[{name:\"a_color\",components:4,type:\"Uint8\",getValue:function(t,e,r){return t.getPaintValue(\"circle-color\",e,r)},multiplier:255,paintProperty:\"circle-color\"},{name:\"a_radius\",components:1,type:\"Uint16\",isLayerConstant:!1,getValue:function(t,e,r){return[t.getPaintValue(\"circle-radius\",e,r)]},multiplier:10,paintProperty:\"circle-radius\"},{name:\"a_blur\",components:1,type:\"Uint16\",isLayerConstant:!1,getValue:function(t,e,r){return[t.getPaintValue(\"circle-blur\",e,r)]},multiplier:10,paintProperty:\"circle-blur\"},{name:\"a_opacity\",components:1,type:\"Uint16\",isLayerConstant:!1,getValue:function(t,e,r){return[t.getPaintValue(\"circle-opacity\",e,r)]},multiplier:255,paintProperty:\"circle-opacity\"}]}},n.prototype.addFeature=function(t){for(var e={zoom:this.zoom},r=o(t),n=this.prepareArrayGroup(\"circle\",0),i=n.layoutVertexArray.length,a=0;a<r.length;a++)for(var l=0;l<r[a].length;l++){var u=r[a][l].x,c=r[a][l].y;if(!(u<0||u>=s||c<0||c>=s)){var h=this.prepareArrayGroup(\"circle\",4),f=h.layoutVertexArray,d=this.addCircleVertex(f,u,c,-1,-1);this.addCircleVertex(f,u,c,1,-1),this.addCircleVertex(f,u,c,1,1),this.addCircleVertex(f,u,c,-1,1),h.elementArray.emplaceBack(d,d+1,d+2),h.elementArray.emplaceBack(d,d+3,d+2)}}this.populatePaintArrays(\"circle\",e,t.properties,n,i)}},{\"../../util/util\":442,\"../bucket\":329,\"../load_geometry\":337}],331:[function(t,e,r){\"use strict\";function n(){i.apply(this,arguments)}var i=t(\"../bucket\"),a=t(\"../../util/util\"),o=t(\"../load_geometry\"),s=t(\"earcut\"),l=t(\"../../util/classify_rings\");e.exports=n,n.prototype=a.inherit(i,{}),n.prototype.programInterfaces={fill:{layoutVertexArrayType:new i.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"}]),elementArrayType:new i.ElementArrayType(1),elementArrayType2:new i.ElementArrayType(2),paintAttributes:[{name:\"a_color\",components:4,type:\"Uint8\",getValue:function(t,e,r){return t.getPaintValue(\"fill-color\",e,r)},multiplier:255,paintProperty:\"fill-color\"},{name:\"a_outline_color\",components:4,type:\"Uint8\",getValue:function(t,e,r){return t.getPaintValue(\"fill-outline-color\",e,r)},multiplier:255,paintProperty:\"fill-outline-color\"},{name:\"a_opacity\",components:1,type:\"Uint8\",getValue:function(t,e,r){return[t.getPaintValue(\"fill-opacity\",e,r)]},multiplier:255,paintProperty:\"fill-opacity\"}]}},n.prototype.addFeature=function(t){for(var e=o(t),r=l(e,500),n=this.prepareArrayGroup(\"fill\",0),i=n.layoutVertexArray.length,a=0;a<r.length;a++)this.addPolygon(r[a]);this.populatePaintArrays(\"fill\",{zoom:this.zoom},t.properties,n,i)},n.prototype.addPolygon=function(t){for(var e=0,r=0;r<t.length;r++)e+=t[r].length;for(var n=this.prepareArrayGroup(\"fill\",e),i=[],a=[],o=n.layoutVertexArray.length,l=0;l<t.length;l++){var u=t[l];l>0&&a.push(i.length/2);for(var c=0;c<u.length;c++){var h=u[c],f=n.layoutVertexArray.emplaceBack(h.x,h.y);c>=1&&n.elementArray2.emplaceBack(f-1,f),i.push(h.x),i.push(h.y)}}for(var d=s(i,a),p=0;p<d.length;p++)n.elementArray.emplaceBack(d[p]+o)}},{\"../../util/classify_rings\":430,\"../../util/util\":442,\"../bucket\":329,\"../load_geometry\":337,earcut:126}],332:[function(t,e,r){\"use strict\";function n(){i.apply(this,arguments)}var i=t(\"../bucket\"),a=t(\"../../util/util\"),o=t(\"../load_geometry\"),s=i.EXTENT,l=Math.cos(Math.PI/180*37.5),u=Math.pow(2,14)/.5;e.exports=n,n.prototype=a.inherit(i,{}),n.prototype.addLineVertex=function(t,e,r,n,i,a,o){return t.emplaceBack(e.x<<1|n,e.y<<1|i,Math.round(63*r.x)+128,Math.round(63*r.y)+128,1+(0===a?0:a<0?-1:1)|(.5*o&63)<<2,.5*o>>6)},n.prototype.programInterfaces={line:{layoutVertexArrayType:new i.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}]),elementArrayType:new i.ElementArrayType}},n.prototype.addFeature=function(t){for(var e=o(t,15),r=0;r<e.length;r++)this.addLine(e[r],this.layer.layout[\"line-join\"],this.layer.layout[\"line-cap\"],this.layer.layout[\"line-miter-limit\"],this.layer.layout[\"line-round-limit\"])},n.prototype.addLine=function(t,e,r,n,i){for(var a=t.length;a>2&&t[a-1].equals(t[a-2]);)a--;if(!(t.length<2)){\"bevel\"===e&&(n=1.05);var o=s/(512*this.overscaling)*15,u=t[0],c=t[a-1],h=u.equals(c);if(this.prepareArrayGroup(\"line\",10*a),2!==a||!h){this.distance=0;var f,d,p,m,v,g,y,b=r,x=h?\"butt\":r,_=!0;this.e1=this.e2=this.e3=-1,h&&(f=t[a-2],v=u.sub(f)._unit()._perp());for(var w=0;w<a;w++)if(!(p=h&&w===a-1?t[1]:t[w+1])||!t[w].equals(p)){v&&(m=v),f&&(d=f),f=t[w],v=p?p.sub(f)._unit()._perp():m,m=m||v;var M=m.add(v)._unit(),k=M.x*v.x+M.y*v.y,A=1/k,T=k<l&&d&&p;if(T&&w>0){var S=f.dist(d);if(S>2*o){var E=f.sub(f.sub(d)._mult(o/S)._round());this.distance+=E.dist(d),this.addCurrentVertex(E,this.distance,m.mult(1),0,0,!1),d=E}}var L=d&&p,C=L?e:p?b:x;if(L&&\"round\"===C&&(A<i?C=\"miter\":A<=2&&(C=\"fakeround\")),\"miter\"===C&&A>n&&(C=\"bevel\"),\"bevel\"===C&&(A>2&&(C=\"flipbevel\"),A<n&&(C=\"miter\")),d&&(this.distance+=f.dist(d)),\"miter\"===C)M._mult(A),this.addCurrentVertex(f,this.distance,M,0,0,!1);else if(\"flipbevel\"===C){if(A>100)M=v.clone();else{var I=m.x*v.y-m.y*v.x>0?-1:1,z=A*m.add(v).mag()/m.sub(v).mag();M._perp()._mult(z*I)}this.addCurrentVertex(f,this.distance,M,0,0,!1),this.addCurrentVertex(f,this.distance,M.mult(-1),0,0,!1)}else if(\"bevel\"===C||\"fakeround\"===C){var D=m.x*v.y-m.y*v.x>0,P=-Math.sqrt(A*A-1);if(D?(y=0,g=P):(g=0,y=P),_||this.addCurrentVertex(f,this.distance,m,g,y,!1),\"fakeround\"===C){for(var O,R=Math.floor(8*(.5-(k-.5))),F=0;F<R;F++)O=v.mult((F+1)/(R+1))._add(m)._unit(),this.addPieSliceVertex(f,this.distance,O,D);this.addPieSliceVertex(f,this.distance,M,D);for(var j=R-1;j>=0;j--)O=m.mult((j+1)/(R+1))._add(v)._unit(),this.addPieSliceVertex(f,this.distance,O,D)}p&&this.addCurrentVertex(f,this.distance,v,-g,-y,!1)}else\"butt\"===C?(_||this.addCurrentVertex(f,this.distance,m,0,0,!1),p&&this.addCurrentVertex(f,this.distance,v,0,0,!1)):\"square\"===C?(_||(this.addCurrentVertex(f,this.distance,m,1,1,!1),this.e1=this.e2=-1),p&&this.addCurrentVertex(f,this.distance,v,-1,-1,!1)):\"round\"===C&&(_||(this.addCurrentVertex(f,this.distance,m,0,0,!1),this.addCurrentVertex(f,this.distance,m,1,1,!0),this.e1=this.e2=-1),p&&(this.addCurrentVertex(f,this.distance,v,-1,-1,!0),this.addCurrentVertex(f,this.distance,v,0,0,!1)));if(T&&w<a-1){var N=f.dist(p);if(N>2*o){var B=f.add(p.sub(f)._mult(o/N)._round());this.distance+=B.dist(f),this.addCurrentVertex(B,this.distance,v.mult(1),0,0,!1),f=B}}_=!1}}}},n.prototype.addCurrentVertex=function(t,e,r,n,i,a){var o,s=a?1:0,l=this.arrayGroups.line[this.arrayGroups.line.length-1],c=l.layoutVertexArray,h=l.elementArray;o=r.clone(),n&&o._sub(r.perp()._mult(n)),this.e3=this.addLineVertex(c,t,o,s,0,n,e),this.e1>=0&&this.e2>=0&&h.emplaceBack(this.e1,this.e2,this.e3),this.e1=this.e2,this.e2=this.e3,o=r.mult(-1),i&&o._sub(r.perp()._mult(i)),this.e3=this.addLineVertex(c,t,o,s,1,-i,e),this.e1>=0&&this.e2>=0&&h.emplaceBack(this.e1,this.e2,this.e3),this.e1=this.e2,this.e2=this.e3,e>u/2&&(this.distance=0,this.addCurrentVertex(t,this.distance,r,n,i,a))},n.prototype.addPieSliceVertex=function(t,e,r,n){var i=n?1:0;r=r.mult(n?-1:1);var a=this.arrayGroups.line[this.arrayGroups.line.length-1],o=a.layoutVertexArray,s=a.elementArray;this.e3=this.addLineVertex(o,t,r,0,i,0,e),this.e1>=0&&this.e2>=0&&s.emplaceBack(this.e1,this.e2,this.e3),n?this.e2=this.e3:this.e1=this.e3}},{\"../../util/util\":442,\"../bucket\":329,\"../load_geometry\":337}],333:[function(t,e,r){\"use strict\";function n(t){o.apply(this,arguments),this.showCollisionBoxes=t.showCollisionBoxes,this.overscaling=t.overscaling,this.collisionBoxArray=t.collisionBoxArray,this.symbolQuadsArray=t.symbolQuadsArray,this.symbolInstancesArray=t.symbolInstancesArray,this.sdfIcons=t.sdfIcons,this.iconsNeedLinear=t.iconsNeedLinear,this.adjustedTextSize=t.adjustedTextSize,this.adjustedIconSize=t.adjustedIconSize,this.fontstack=t.fontstack}function i(t,e,r,n,i,a,o,s,l,u,c){return t.emplaceBack(e,r,Math.round(64*n),Math.round(64*i),a/4,o/4,10*(u||0),c,10*(s||0),10*Math.min(l||25,25))}var a=t(\"point-geometry\"),o=t(\"../bucket\"),s=t(\"../../symbol/anchor\"),l=t(\"../../symbol/get_anchors\"),u=t(\"../../util/token\"),c=t(\"../../symbol/quads\"),h=t(\"../../symbol/shaping\"),f=t(\"../../symbol/resolve_text\"),d=t(\"../../symbol/mergelines\"),p=t(\"../../symbol/clip_line\"),m=t(\"../../util/util\"),v=t(\"../load_geometry\"),g=t(\"../../symbol/collision_feature\"),y=h.shapeText,b=h.shapeIcon,x=c.getGlyphQuads,_=c.getIconQuads,w=o.EXTENT;e.exports=n,n.MAX_QUADS=65535,n.prototype=m.inherit(o,{}),n.prototype.serialize=function(){var t=o.prototype.serialize.apply(this);return t.sdfIcons=this.sdfIcons,t.iconsNeedLinear=this.iconsNeedLinear,t.adjustedTextSize=this.adjustedTextSize,t.adjustedIconSize=this.adjustedIconSize,t.fontstack=this.fontstack,t};var M=new o.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_offset\",components:2,type:\"Int16\"},{name:\"a_texture_pos\",components:2,type:\"Uint16\"},{name:\"a_data\",components:4,type:\"Uint8\"}]),k=new o.ElementArrayType;n.prototype.addCollisionBoxVertex=function(t,e,r,n,i){return t.emplaceBack(e.x,e.y,Math.round(r.x),Math.round(r.y),10*n,10*i)},n.prototype.programInterfaces={glyph:{layoutVertexArrayType:M,elementArrayType:k},icon:{layoutVertexArrayType:M,elementArrayType:k},collisionBox:{layoutVertexArrayType:new o.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_extrude\",components:2,type:\"Int16\"},{name:\"a_data\",components:2,type:\"Uint8\"}])}},n.prototype.populateArrays=function(t,e,r){var n={lastIntegerZoom:1/0,lastIntegerZoomTime:0,lastZoom:0};this.adjustedTextMaxSize=this.layer.getLayoutValue(\"text-size\",{zoom:18,zoomHistory:n}),this.adjustedTextSize=this.layer.getLayoutValue(\"text-size\",{zoom:this.zoom+1,zoomHistory:n}),this.adjustedIconMaxSize=this.layer.getLayoutValue(\"icon-size\",{zoom:18,zoomHistory:n}),this.adjustedIconSize=this.layer.getLayoutValue(\"icon-size\",{zoom:this.zoom+1,zoomHistory:n});var i=512*this.overscaling;this.tilePixelRatio=w/i,this.compareText={},this.iconsNeedLinear=!1,this.symbolInstancesStartIndex=this.symbolInstancesArray.length;var a=this.layer.layout,o=this.features,s=this.textFeatures,l=.5,c=.5;switch(a[\"text-anchor\"]){case\"right\":case\"top-right\":case\"bottom-right\":l=1;break;case\"left\":case\"top-left\":case\"bottom-left\":l=0}switch(a[\"text-anchor\"]){case\"bottom\":case\"bottom-right\":case\"bottom-left\":c=1;break;case\"top\":case\"top-right\":case\"top-left\":c=0}for(var h=\"right\"===a[\"text-justify\"]?1:\"left\"===a[\"text-justify\"]?0:.5,f=24*a[\"text-line-height\"],p=\"line\"!==a[\"symbol-placement\"]?24*a[\"text-max-width\"]:0,g=24*a[\"text-letter-spacing\"],x=[24*a[\"text-offset\"][0],24*a[\"text-offset\"][1]],_=this.fontstack=a[\"text-font\"].join(\",\"),M=[],k=0;k<o.length;k++)M.push(v(o[k]));if(\"line\"===a[\"symbol-placement\"]){var A=d(o,s,M);M=A.geometries,o=A.features,s=A.textFeatures}for(var T,S,E=0;E<o.length;E++)if(M[E]){if(T=s[E]?y(s[E],e[_],p,f,l,c,h,g,x):null,a[\"icon-image\"]){var L=u(o[E].properties,a[\"icon-image\"]),C=r[L];S=b(C,a),C&&(void 0===this.sdfIcons?this.sdfIcons=C.sdf:this.sdfIcons!==C.sdf&&m.warnOnce(\"Style sheet warning: Cannot mix SDF and non-SDF icons in one buffer\"),1!==C.pixelRatio?this.iconsNeedLinear=!0:0===a[\"icon-rotate\"]&&this.layer.isLayoutValueFeatureConstant(\"icon-rotate\")||(this.iconsNeedLinear=!0))}else S=null;(T||S)&&this.addFeature(M[E],T,S,o[E])}this.symbolInstancesEndIndex=this.symbolInstancesArray.length,this.placeFeatures(t,this.showCollisionBoxes),this.trimArrays()},n.prototype.addFeature=function(t,e,r,n){var i=this.layer.layout,a=this.adjustedTextSize/24,o=void 0!==this.adjustedTextMaxSize?this.adjustedTextMaxSize:this.adjustedTextSize,u=this.tilePixelRatio*a,c=this.tilePixelRatio*o/24,h=this.tilePixelRatio*this.adjustedIconSize,f=this.tilePixelRatio*i[\"symbol-spacing\"],d=i[\"symbol-avoid-edges\"],m=i[\"text-padding\"]*this.tilePixelRatio,v=i[\"icon-padding\"]*this.tilePixelRatio,g=i[\"text-max-angle\"]/180*Math.PI,y=\"map\"===i[\"text-rotation-alignment\"]&&\"line\"===i[\"symbol-placement\"],b=\"map\"===i[\"icon-rotation-alignment\"]&&\"line\"===i[\"symbol-placement\"],x=i[\"text-allow-overlap\"]||i[\"icon-allow-overlap\"]||i[\"text-ignore-placement\"]||i[\"icon-ignore-placement\"],_=\"line\"===i[\"symbol-placement\"],M=f/2;_&&(t=p(t,0,0,w,w));for(var k=0;k<t.length;k++){var A,T=t[k];A=_?l(T,f,g,e,r,24,c,this.overscaling,w):[new s(T[0].x,T[0].y,0)];for(var S=0,E=A.length;S<E;S++){var L=A[S];if(!(e&&_&&this.anchorIsTooClose(e.text,M,L))){var C=!(L.x<0||L.x>w||L.y<0||L.y>w);if(!d||C){var I=C||x;this.addSymbolInstance(L,T,e,r,this.layer,I,this.symbolInstancesArray.length,this.collisionBoxArray,n.index,this.sourceLayerIndex,this.index,u,m,y,h,v,b,{zoom:this.zoom},n.properties)}}}}},n.prototype.anchorIsTooClose=function(t,e,r){var n=this.compareText;if(t in n){for(var i=n[t],a=i.length-1;a>=0;a--)if(r.dist(i[a])<e)return!0}else n[t]=[];return n[t].push(r),!1},n.prototype.placeFeatures=function(t,e){this.recalculateStyleLayers(),this.createArrays();var r=this.layer.layout,n=t.maxScale,i=\"map\"===r[\"text-rotation-alignment\"]&&\"line\"===r[\"symbol-placement\"],a=\"map\"===r[\"icon-rotation-alignment\"]&&\"line\"===r[\"symbol-placement\"];if(r[\"text-allow-overlap\"]||r[\"icon-allow-overlap\"]||r[\"text-ignore-placement\"]||r[\"icon-ignore-placement\"]){var o=this.symbolInstancesArray.toArray(this.symbolInstancesStartIndex,this.symbolInstancesEndIndex),s=t.angle,l=Math.sin(s),u=Math.cos(s);this.sortedSymbolInstances=o.sort(function(t,e){return(l*t.anchorPointX+u*t.anchorPointY|0)-(l*e.anchorPointX+u*e.anchorPointY|0)||e.index-t.index})}for(var c=this.symbolInstancesStartIndex;c<this.symbolInstancesEndIndex;c++){var h=this.sortedSymbolInstances?this.sortedSymbolInstances[c-this.symbolInstancesStartIndex]:this.symbolInstancesArray.get(c),f={boxStartIndex:h.textBoxStartIndex,boxEndIndex:h.textBoxEndIndex},d={boxStartIndex:h.iconBoxStartIndex,boxEndIndex:h.iconBoxEndIndex},p=!(h.textBoxStartIndex===h.textBoxEndIndex),m=!(h.iconBoxStartIndex===h.iconBoxEndIndex),v=r[\"text-optional\"]||!p,g=r[\"icon-optional\"]||!m,y=p?t.placeCollisionFeature(f,r[\"text-allow-overlap\"],r[\"symbol-avoid-edges\"]):t.minScale,b=m?t.placeCollisionFeature(d,r[\"icon-allow-overlap\"],r[\"symbol-avoid-edges\"]):t.minScale;v||g?!g&&y?y=Math.max(b,y):!v&&b&&(b=Math.max(b,y)):b=y=Math.max(b,y),p&&(t.insertCollisionFeature(f,y,r[\"text-ignore-placement\"]),y<=n&&this.addSymbols(\"glyph\",h.glyphQuadStartIndex,h.glyphQuadEndIndex,y,r[\"text-keep-upright\"],i,t.angle)),m&&(t.insertCollisionFeature(d,b,r[\"icon-ignore-placement\"]),b<=n&&this.addSymbols(\"icon\",h.iconQuadStartIndex,h.iconQuadEndIndex,b,r[\"icon-keep-upright\"],a,t.angle))}e&&this.addToDebugBuffers(t)},n.prototype.addSymbols=function(t,e,r,n,a,o,s){for(var l=this.prepareArrayGroup(t,4*(r-e)),u=l.elementArray,c=l.layoutVertexArray,h=this.zoom,f=Math.max(Math.log(n)/Math.LN2+h,0),d=e;d<r;d++){var p=this.symbolQuadsArray.get(d).SymbolQuad,m=(p.anchorAngle+s+Math.PI)%(2*Math.PI);if(!(a&&o&&(m<=Math.PI/2||m>3*Math.PI/2))){var v=p.tl,g=p.tr,y=p.bl,b=p.br,x=p.tex,_=p.anchorPoint,w=Math.max(h+Math.log(p.minScale)/Math.LN2,f),M=Math.min(h+Math.log(p.maxScale)/Math.LN2,25);if(!(M<=w)){w===f&&(w=0);var k=Math.round(p.glyphAngle/(2*Math.PI)*256),A=i(c,_.x,_.y,v.x,v.y,x.x,x.y,w,M,f,k);i(c,_.x,_.y,g.x,g.y,x.x+x.w,x.y,w,M,f,k),i(c,_.x,_.y,y.x,y.y,x.x,x.y+x.h,w,M,f,k),i(c,_.x,_.y,b.x,b.y,x.x+x.w,x.y+x.h,w,M,f,k),u.emplaceBack(A,A+1,A+2),u.emplaceBack(A+1,A+2,A+3)}}}},n.prototype.updateIcons=function(t){this.recalculateStyleLayers();var e=this.layer.layout[\"icon-image\"];if(e)for(var r=0;r<this.features.length;r++){var n=u(this.features[r].properties,e);n&&(t[n]=!0)}},n.prototype.updateFont=function(t){this.recalculateStyleLayers();var e=this.layer.layout[\"text-font\"],r=t[e]=t[e]||{};this.textFeatures=f(this.features,this.layer.layout,r)},n.prototype.addToDebugBuffers=function(t){for(var e=this.prepareArrayGroup(\"collisionBox\",0),r=e.layoutVertexArray,n=-t.angle,i=t.yStretch,o=this.symbolInstancesStartIndex;o<this.symbolInstancesEndIndex;o++){var s=this.symbolInstancesArray.get(o);s.textCollisionFeature={boxStartIndex:s.textBoxStartIndex,boxEndIndex:s.textBoxEndIndex},s.iconCollisionFeature={boxStartIndex:s.iconBoxStartIndex,boxEndIndex:s.iconBoxEndIndex};for(var l=0;l<2;l++){var u=s[0===l?\"textCollisionFeature\":\"iconCollisionFeature\"];if(u)for(var c=u.boxStartIndex;c<u.boxEndIndex;c++){var h=this.collisionBoxArray.get(c),f=h.anchorPoint,d=new a(h.x1,h.y1*i)._rotate(n),p=new a(h.x2,h.y1*i)._rotate(n),m=new a(h.x1,h.y2*i)._rotate(n),v=new a(h.x2,h.y2*i)._rotate(n),g=Math.max(0,Math.min(25,this.zoom+Math.log(h.maxScale)/Math.LN2)),y=Math.max(0,Math.min(25,this.zoom+Math.log(h.placementScale)/Math.LN2));this.addCollisionBoxVertex(r,f,d,g,y),this.addCollisionBoxVertex(r,f,p,g,y),this.addCollisionBoxVertex(r,f,p,g,y),this.addCollisionBoxVertex(r,f,v,g,y),this.addCollisionBoxVertex(r,f,v,g,y),this.addCollisionBoxVertex(r,f,m,g,y),this.addCollisionBoxVertex(r,f,m,g,y),this.addCollisionBoxVertex(r,f,d,g,y)}}}},n.prototype.addSymbolInstance=function(t,e,r,i,a,o,s,l,u,c,h,f,d,p,v,y,b,w,M){var k,A,T,S,E,L,C,I;if(r&&(C=o?x(t,r,f,e,a,p):[],E=new g(l,e,t,u,c,h,r,f,d,p,!1)),k=this.symbolQuadsArray.length,C&&C.length)for(var z=0;z<C.length;z++)this.addSymbolQuad(C[z]);A=this.symbolQuadsArray.length;var D=E?E.boxStartIndex:this.collisionBoxArray.length,P=E?E.boxEndIndex:this.collisionBoxArray.length;i&&(I=o?_(t,i,v,e,a,b,r,w,M):[],L=new g(l,e,t,u,c,h,i,v,y,b,!0)),T=this.symbolQuadsArray.length,I&&1===I.length&&this.addSymbolQuad(I[0]),S=this.symbolQuadsArray.length;var O=L?L.boxStartIndex:this.collisionBoxArray.length,R=L?L.boxEndIndex:this.collisionBoxArray.length;return S>n.MAX_QUADS&&m.warnOnce(\"Too many symbols being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\"),A>n.MAX_QUADS&&m.warnOnce(\"Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\"),this.symbolInstancesArray.emplaceBack(D,P,O,R,k,A,T,S,t.x,t.y,s)},n.prototype.addSymbolQuad=function(t){return this.symbolQuadsArray.emplaceBack(t.anchorPoint.x,t.anchorPoint.y,t.tl.x,t.tl.y,t.tr.x,t.tr.y,t.bl.x,t.bl.y,t.br.x,t.br.y,t.tex.h,t.tex.w,t.tex.x,t.tex.y,t.anchorAngle,t.glyphAngle,t.maxScale,t.minScale)}},{\"../../symbol/anchor\":391,\"../../symbol/clip_line\":393,\"../../symbol/collision_feature\":395,\"../../symbol/get_anchors\":397,\"../../symbol/mergelines\":400,\"../../symbol/quads\":401,\"../../symbol/resolve_text\":402,\"../../symbol/shaping\":403,\"../../util/token\":441,\"../../util/util\":442,\"../bucket\":329,\"../load_geometry\":337,\"point-geometry\":484}],334:[function(t,e,r){\"use strict\";function n(t,e,r){this.arrayBuffer=t.arrayBuffer,this.length=t.length,this.attributes=e.members,this.itemSize=e.bytesPerElement,this.type=r,this.arrayType=e}e.exports=n,n.prototype.bind=function(t){var e=t[this.type];this.buffer?t.bindBuffer(e,this.buffer):(this.buffer=t.createBuffer(),t.bindBuffer(e,this.buffer),t.bufferData(e,this.arrayBuffer,t.STATIC_DRAW),this.arrayBuffer=null)};var i={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\"};n.prototype.setVertexAttribPointers=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],a=e[n.name];void 0!==a&&t.vertexAttribPointer(a,n.components,t[i[n.type]],!1,this.arrayType.bytesPerElement,n.offset)}},n.prototype.destroy=function(t){this.buffer&&t.deleteBuffer(this.buffer)},n.BufferType={VERTEX:\"ARRAY_BUFFER\",ELEMENT:\"ELEMENT_ARRAY_BUFFER\"}},{}],335:[function(t,e,r){\"use strict\";function n(t,e){this.layoutVertexBuffer=new a(t.layoutVertexArray,e.layoutVertexArrayType,a.BufferType.VERTEX),t.elementArray&&(this.elementBuffer=new a(t.elementArray,e.elementArrayType,a.BufferType.ELEMENT));var r,n=this.vaos={};t.elementArray2&&(this.elementBuffer2=new a(t.elementArray2,e.elementArrayType2,a.BufferType.ELEMENT),r=this.secondVaos={}),this.paintVertexBuffers=i.mapObject(t.paintVertexArrays,function(i,s){return n[s]=new o,t.elementArray2&&(r[s]=new o),new a(i,e.paintVertexArrayTypes[s],a.BufferType.VERTEX)})}var i=t(\"../util/util\"),a=t(\"./buffer\"),o=t(\"../render/vertex_array_object\");e.exports=n,n.prototype.destroy=function(t){this.layoutVertexBuffer.destroy(t),this.elementBuffer&&this.elementBuffer.destroy(t),this.elementBuffer2&&this.elementBuffer2.destroy(t);for(var e in this.paintVertexBuffers)this.paintVertexBuffers[e].destroy(t);for(var r in this.vaos)this.vaos[r].destroy(t);for(var n in this.secondVaos)this.secondVaos[n].destroy(t)}},{\"../render/vertex_array_object\":357,\"../util/util\":442,\"./buffer\":334}],336:[function(t,e,r){\"use strict\";function n(t,e,r){if(t.grid){var n=t,i=e;t=n.coord,e=n.overscaling,this.grid=new p(n.grid),this.featureIndexArray=new k(n.featureIndexArray),this.rawTileData=i,this.bucketLayerIDs=n.bucketLayerIDs}else this.grid=new p(h,16,0),this.featureIndexArray=new k;this.coord=t,this.overscaling=e,this.x=t.x,this.y=t.y,this.z=t.z-Math.log(e)/Math.LN2,this.setCollisionTile(r)}function i(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function a(t,e){return e-t}function o(t){return t[\"line-gap-width\"]>0?t[\"line-gap-width\"]+2*t[\"line-width\"]:t[\"line-width\"]}function s(t,e,r,n,i){if(!e[0]&&!e[1])return t;e=u.convert(e),\"viewport\"===r&&e._rotate(-n);for(var a=[],o=0;o<t.length;o++){for(var s=t[o],l=[],c=0;c<s.length;c++)l.push(s[c].sub(e._mult(i)));a.push(l)}return a}function l(t,e){for(var r=[],n=new u(0,0),i=0;i<t.length;i++){for(var a=t[i],o=[],s=0;s<a.length;s++){var l=a[s-1],c=a[s],h=a[s+1],f=0===s?n:c.sub(l)._unit()._perp(),d=s===a.length-1?n:h.sub(c)._unit()._perp(),p=f._add(d)._unit(),m=p.x*d.x+p.y*d.y;p._mult(1/m),o.push(p._mult(e)._add(c))}r.push(o)}return r}var u=t(\"point-geometry\"),c=t(\"./load_geometry\"),h=t(\"./bucket\").EXTENT,f=t(\"feature-filter\"),d=t(\"../util/struct_array\"),p=t(\"grid-index\"),m=t(\"../util/dictionary_coder\"),v=t(\"vector-tile\"),g=t(\"pbf\"),y=t(\"../util/vectortile_to_geojson\"),b=t(\"../util/util\").arraysIntersect,x=t(\"../util/intersection_tests\"),_=x.multiPolygonIntersectsBufferedMultiPoint,w=x.multiPolygonIntersectsMultiPolygon,M=x.multiPolygonIntersectsBufferedMultiLine,k=new d({members:[{type:\"Uint32\",name:\"featureIndex\"},{type:\"Uint16\",name:\"sourceLayerIndex\"},{type:\"Uint16\",name:\"bucketIndex\"}]});e.exports=n,n.prototype.insert=function(t,e,r,n){var i=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(e,r,n);for(var a=c(t),o=0;o<a.length;o++){for(var s=a[o],l=[1/0,1/0,-1/0,-1/0],u=0;u<s.length;u++){var h=s[u];l[0]=Math.min(l[0],h.x),l[1]=Math.min(l[1],h.y),l[2]=Math.max(l[2],h.x),l[3]=Math.max(l[3],h.y)}this.grid.insert(i,l[0],l[1],l[2],l[3])}},n.prototype.setCollisionTile=function(t){this.collisionTile=t},n.prototype.serialize=function(){var t={coord:this.coord,overscaling:this.overscaling,grid:this.grid.toArrayBuffer(),featureIndexArray:this.featureIndexArray.serialize(),bucketLayerIDs:this.bucketLayerIDs};return{data:t,transferables:[t.grid,t.featureIndexArray.arrayBuffer]}},n.prototype.query=function(t,e){this.vtLayers||(this.vtLayers=new v.VectorTile(new g(new Uint8Array(this.rawTileData))).layers,this.sourceLayerCoder=new m(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"]));var r={},n=t.params||{},s=h/t.tileSize/t.scale,l=f(n.filter),c=0;for(var d in e){var p=e[d],y=p.paint,b=0;\"line\"===p.type?b=o(y)/2+Math.abs(y[\"line-offset\"])+i(y[\"line-translate\"]):\"fill\"===p.type?b=i(y[\"fill-translate\"]):\"circle\"===p.type&&(b=y[\"circle-radius\"]+i(y[\"circle-translate\"])),c=Math.max(c,b*s)}for(var x=t.queryGeometry.map(function(t){return t.map(function(t){return new u(t.x,t.y)})}),_=1/0,w=1/0,M=-1/0,k=-1/0,A=0;A<x.length;A++)for(var T=x[A],S=0;S<T.length;S++){var E=T[S];_=Math.min(_,E.x),w=Math.min(w,E.y),M=Math.max(M,E.x),k=Math.max(k,E.y)}var L=this.grid.query(_-c,w-c,M+c,k+c);L.sort(a),this.filterMatching(r,L,this.featureIndexArray,x,l,n.layers,e,t.bearing,s);var C=this.collisionTile.queryRenderedSymbols(_,w,M,k,t.scale);return C.sort(),this.filterMatching(r,C,this.collisionTile.collisionBoxArray,x,l,n.layers,e,t.bearing,s),r},n.prototype.filterMatching=function(t,e,r,n,i,a,u,h,f){for(var d,p=0;p<e.length;p++){var m=e[p];if(m!==d){d=m;var v=r.get(m),g=this.bucketLayerIDs[v.bucketIndex];if(!a||b(a,g)){var x=this.sourceLayerCoder.decode(v.sourceLayerIndex),k=this.vtLayers[x],A=k.feature(v.featureIndex);if(i(A))for(var T=null,S=0;S<g.length;S++){var E=g[S];if(!(a&&a.indexOf(E)<0)){var L=u[E];if(L){var C;if(\"symbol\"!==L.type){T||(T=c(A));var I=L.paint;if(\"line\"===L.type){C=s(n,I[\"line-translate\"],I[\"line-translate-anchor\"],h,f);var z=o(I)/2*f;if(I[\"line-offset\"]&&(T=l(T,I[\"line-offset\"]*f)),!M(C,T,z))continue}else if(\"fill\"===L.type){if(C=s(n,I[\"fill-translate\"],I[\"fill-translate-anchor\"],h,f),!w(C,T))continue}else if(\"circle\"===L.type){C=s(n,I[\"circle-translate\"],I[\"circle-translate-anchor\"],h,f);var D=I[\"circle-radius\"]*f;if(!_(C,T,D))continue}}var P=new y(A,this.z,this.x,this.y);P.layer=L.serialize({includeRefProperties:!0});var O=t[E];void 0===O&&(O=t[E]=[]),O.push(P)}}}}}}}},{\"../util/dictionary_coder\":432,\"../util/intersection_tests\":437,\"../util/struct_array\":440,\"../util/util\":442,\"../util/vectortile_to_geojson\":443,\"./bucket\":329,\"./load_geometry\":337,\"feature-filter\":132,\"grid-index\":287,pbf:478,\"point-geometry\":484,\"vector-tile\":550}],337:[function(t,e,r){\"use strict\";function n(t){return{min:-1*Math.pow(2,t-1),max:Math.pow(2,t-1)-1}}var i=t(\"../util/util\"),a=t(\"./bucket\").EXTENT,o=t(\"assert\"),s={15:n(15),16:n(16)};e.exports=function(t,e){var r=s[e||16];o(r);for(var n=a/t.extent,l=t.loadGeometry(),u=0;u<l.length;u++)for(var c=l[u],h=0;h<c.length;h++){var f=c[h];f.x=Math.round(f.x*n),f.y=Math.round(f.y*n),(f.x<r.min||f.x>r.max||f.y<r.min||f.y>r.max)&&i.warnOnce(\"Geometry exceeds allowed extent, reduce your vector tile buffer size\")}return l}},{\"../util/util\":442,\"./bucket\":329,assert:47}],338:[function(t,e,r){\"use strict\";function n(t,e,r){this.column=t,this.row=e,this.zoom=r}e.exports=n,n.prototype={clone:function(){return new n(this.column,this.row,this.zoom)},zoomTo:function(t){return this.clone()._zoomTo(t)},sub:function(t){return this.clone()._sub(t)},_zoomTo:function(t){var e=Math.pow(2,t-this.zoom);return this.column*=e,this.row*=e,this.zoom=t,this},_sub:function(t){return t=t.zoomTo(this.zoom),this.column-=t.column,this.row-=t.row,this}}},{}],339:[function(t,e,r){\"use strict\";function n(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")}e.exports=n\n",
       ";var i=t(\"../util/util\").wrap;n.prototype.wrap=function(){return new n(i(this.lng,-180,180),this.lat)},n.prototype.toArray=function(){return[this.lng,this.lat]},n.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},n.convert=function(t){return t instanceof n?t:Array.isArray(t)?new n(t[0],t[1]):t}},{\"../util/util\":442}],340:[function(t,e,r){\"use strict\";function n(t,e){t&&(e?this.extend(t).extend(e):4===t.length?this.extend([t[0],t[1]]).extend([t[2],t[3]]):this.extend(t[0]).extend(t[1]))}e.exports=n;var i=t(\"./lng_lat\");n.prototype={extend:function(t){var e,r,a=this._sw,o=this._ne;if(t instanceof i)e=t,r=t;else{if(!(t instanceof n))return t?this.extend(i.convert(t)||n.convert(t)):this;if(e=t._sw,r=t._ne,!e||!r)return this}return a||o?(a.lng=Math.min(e.lng,a.lng),a.lat=Math.min(e.lat,a.lat),o.lng=Math.max(r.lng,o.lng),o.lat=Math.max(r.lat,o.lat)):(this._sw=new i(e.lng,e.lat),this._ne=new i(r.lng,r.lat)),this},getCenter:function(){return new i((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},getSouthWest:function(){return this._sw},getNorthEast:function(){return this._ne},getNorthWest:function(){return new i(this.getWest(),this.getNorth())},getSouthEast:function(){return new i(this.getEast(),this.getSouth())},getWest:function(){return this._sw.lng},getSouth:function(){return this._sw.lat},getEast:function(){return this._ne.lng},getNorth:function(){return this._ne.lat},toArray:function(){return[this._sw.toArray(),this._ne.toArray()]},toString:function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"}},n.convert=function(t){return!t||t instanceof n?t:new n(t)}},{\"./lng_lat\":339}],341:[function(t,e,r){\"use strict\";function n(t,e){this.tileSize=512,this._minZoom=t||0,this._maxZoom=e||22,this.latRange=[-85.05113,85.05113],this.width=0,this.height=0,this._center=new i(0,0),this.zoom=0,this.angle=0,this._altitude=1.5,this._pitch=0,this._unmodified=!0}var i=t(\"./lng_lat\"),a=t(\"point-geometry\"),o=t(\"./coordinate\"),s=t(\"../util/util\").wrap,l=t(\"../util/interpolate\"),u=t(\"../source/tile_coord\"),c=t(\"../data/bucket\").EXTENT,h=t(\"gl-matrix\"),f=h.vec4,d=h.mat4,p=h.mat2;e.exports=n,n.prototype={get minZoom(){return this._minZoom},set minZoom(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},get maxZoom(){return this._maxZoom},set maxZoom(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},get worldSize(){return this.tileSize*this.scale},get centerPoint(){return this.size._div(2)},get size(){return new a(this.width,this.height)},get bearing(){return-this.angle/Math.PI*180},set bearing(t){var e=-s(t,-180,180)*Math.PI/180;this.angle!==e&&(this._unmodified=!1,this.angle=e,this._calcMatrices(),this.rotationMatrix=p.create(),p.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},get pitch(){return this._pitch/Math.PI*180},set pitch(t){var e=Math.min(60,t)/180*Math.PI;this._pitch!==e&&(this._unmodified=!1,this._pitch=e,this._calcMatrices())},get altitude(){return this._altitude},set altitude(t){var e=Math.max(.75,t);this._altitude!==e&&(this._unmodified=!1,this._altitude=e,this._calcMatrices())},get zoom(){return this._zoom},set zoom(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._calcMatrices(),this._constrain())},get center(){return this._center},set center(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._calcMatrices(),this._constrain())},coveringZoomLevel:function(t){return(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize))},coveringTiles:function(t){var e=this.coveringZoomLevel(t),r=e;if(e<t.minzoom)return[];e>t.maxzoom&&(e=t.maxzoom);var n=this,i=n.locationCoordinate(n.center)._zoomTo(e),o=new a(i.column-.5,i.row-.5);return u.cover(e,[n.pointCoordinate(new a(0,0))._zoomTo(e),n.pointCoordinate(new a(n.width,0))._zoomTo(e),n.pointCoordinate(new a(n.width,n.height))._zoomTo(e),n.pointCoordinate(new a(0,n.height))._zoomTo(e)],t.reparseOverscaled?r:e).sort(function(t,e){return o.dist(t)-o.dist(e)})},resize:function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._calcMatrices(),this._constrain()},get unmodified(){return this._unmodified},zoomScale:function(t){return Math.pow(2,t)},scaleZoom:function(t){return Math.log(t)/Math.LN2},project:function(t,e){return new a(this.lngX(t.lng,e),this.latY(t.lat,e))},unproject:function(t,e){return new i(this.xLng(t.x,e),this.yLat(t.y,e))},get x(){return this.lngX(this.center.lng)},get y(){return this.latY(this.center.lat)},get point(){return new a(this.x,this.y)},lngX:function(t,e){return(180+t)*(e||this.worldSize)/360},latY:function(t,e){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))*(e||this.worldSize)/360},xLng:function(t,e){return 360*t/(e||this.worldSize)-180},yLat:function(t,e){var r=180-360*t/(e||this.worldSize);return 360/Math.PI*Math.atan(Math.exp(r*Math.PI/180))-90},panBy:function(t){var e=this.centerPoint._add(t);this.center=this.pointLocation(e)},setLocationAtPoint:function(t,e){var r=this.locationCoordinate(t),n=this.pointCoordinate(e),i=this.pointCoordinate(this.centerPoint),a=n._sub(r);this._unmodified=!1,this.center=this.coordinateLocation(i._sub(a))},locationPoint:function(t){return this.coordinatePoint(this.locationCoordinate(t))},pointLocation:function(t){return this.coordinateLocation(this.pointCoordinate(t))},locationCoordinate:function(t){var e=this.zoomScale(this.tileZoom)/this.worldSize,r=i.convert(t);return new o(this.lngX(r.lng)*e,this.latY(r.lat)*e,this.tileZoom)},coordinateLocation:function(t){var e=this.zoomScale(t.zoom);return new i(this.xLng(t.column,e),this.yLat(t.row,e))},pointCoordinate:function(t){var e=[t.x,t.y,0,1],r=[t.x,t.y,1,1];f.transformMat4(e,e,this.pixelMatrixInverse),f.transformMat4(r,r,this.pixelMatrixInverse);var n=e[3],i=r[3],a=e[0]/n,s=r[0]/i,u=e[1]/n,c=r[1]/i,h=e[2]/n,d=r[2]/i,p=h===d?0:(0-h)/(d-h),m=this.worldSize/this.zoomScale(this.tileZoom);return new o(l(a,s,p)/m,l(u,c,p)/m,this.tileZoom)},coordinatePoint:function(t){var e=this.worldSize/this.zoomScale(t.zoom),r=[t.column*e,t.row*e,0,1];return f.transformMat4(r,r,this.pixelMatrix),new a(r[0]/r[3],r[1]/r[3])},calculatePosMatrix:function(t,e){void 0===e&&(e=1/0),t instanceof u&&(t=t.toCoordinate(e));var r=Math.min(t.zoom,e),n=this.worldSize/Math.pow(2,r),i=new Float64Array(16);return d.identity(i),d.translate(i,i,[t.column*n,t.row*n,0]),d.scale(i,i,[n/c,n/c,1]),d.multiply(i,this.projMatrix,i),new Float32Array(i)},_constrain:function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var t,e,r,n,i,o,s,l,u=this.size,c=this._unmodified;this.latRange&&(t=this.latY(this.latRange[1]),e=this.latY(this.latRange[0]),i=e-t<u.y?u.y/(e-t):0),this.lngRange&&(r=this.lngX(this.lngRange[0]),n=this.lngX(this.lngRange[1]),o=n-r<u.x?u.x/(n-r):0);var h=Math.max(o||0,i||0);if(h)return this.center=this.unproject(new a(o?(n+r)/2:this.x,i?(e+t)/2:this.y)),this.zoom+=this.scaleZoom(h),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var f=this.y,d=u.y/2;f-d<t&&(l=t+d),f+d>e&&(l=e-d)}if(this.lngRange){var p=this.x,m=u.x/2;p-m<r&&(s=r+m),p+m>n&&(s=n-m)}void 0===s&&void 0===l||(this.center=this.unproject(new a(void 0!==s?s:this.x,void 0!==l?l:this.y))),this._unmodified=c,this._constraining=!1}},_calcMatrices:function(){if(this.height){var t=Math.atan(.5/this.altitude),e=Math.sin(t)*this.altitude/Math.sin(Math.PI/2-this._pitch-t),r=Math.cos(Math.PI/2-this._pitch)*e+this.altitude,n=new Float64Array(16);if(d.perspective(n,2*Math.atan(this.height/2/this.altitude),this.width/this.height,.1,r),d.translate(n,n,[0,0,-this.altitude]),d.scale(n,n,[1,-1,1/this.height]),d.rotateX(n,n,this._pitch),d.rotateZ(n,n,this.angle),d.translate(n,n,[-this.x,-this.y,0]),this.projMatrix=n,n=d.create(),d.scale(n,n,[this.width/2,-this.height/2,1]),d.translate(n,n,[1,-1,0]),this.pixelMatrix=d.multiply(new Float64Array(16),n,this.projMatrix),!(n=d.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=n}}}},{\"../data/bucket\":329,\"../source/tile_coord\":369,\"../util/interpolate\":436,\"../util/util\":442,\"./coordinate\":338,\"./lng_lat\":339,\"gl-matrix\":193,\"point-geometry\":484}],342:[function(t,e,r){\"use strict\";var n={\" \":[16,[]],\"!\":[10,[5,21,5,7,-1,-1,5,2,4,1,5,0,6,1,5,2]],'\"':[16,[4,21,4,14,-1,-1,12,21,12,14]],\"#\":[21,[11,25,4,-7,-1,-1,17,25,10,-7,-1,-1,4,12,18,12,-1,-1,3,6,17,6]],$:[20,[8,25,8,-4,-1,-1,12,25,12,-4,-1,-1,17,18,15,20,12,21,8,21,5,20,3,18,3,16,4,14,5,13,7,12,13,10,15,9,16,8,17,6,17,3,15,1,12,0,8,0,5,1,3,3]],\"%\":[24,[21,21,3,0,-1,-1,8,21,10,19,10,17,9,15,7,14,5,14,3,16,3,18,4,20,6,21,8,21,10,20,13,19,16,19,19,20,21,21,-1,-1,17,7,15,6,14,4,14,2,16,0,18,0,20,1,21,3,21,5,19,7,17,7]],\"&\":[26,[23,12,23,13,22,14,21,14,20,13,19,11,17,6,15,3,13,1,11,0,7,0,5,1,4,2,3,4,3,6,4,8,5,9,12,13,13,14,14,16,14,18,13,20,11,21,9,20,8,18,8,16,9,13,11,10,16,3,18,1,20,0,22,0,23,1,23,2]],\"'\":[10,[5,19,4,20,5,21,6,20,6,18,5,16,4,15]],\"(\":[14,[11,25,9,23,7,20,5,16,4,11,4,7,5,2,7,-2,9,-5,11,-7]],\")\":[14,[3,25,5,23,7,20,9,16,10,11,10,7,9,2,7,-2,5,-5,3,-7]],\"*\":[16,[8,21,8,9,-1,-1,3,18,13,12,-1,-1,13,18,3,12]],\"+\":[26,[13,18,13,0,-1,-1,4,9,22,9]],\",\":[10,[6,1,5,0,4,1,5,2,6,1,6,-1,5,-3,4,-4]],\"-\":[26,[4,9,22,9]],\".\":[10,[5,2,4,1,5,0,6,1,5,2]],\"/\":[22,[20,25,2,-7]],0:[20,[9,21,6,20,4,17,3,12,3,9,4,4,6,1,9,0,11,0,14,1,16,4,17,9,17,12,16,17,14,20,11,21,9,21]],1:[20,[6,17,8,18,11,21,11,0]],2:[20,[4,16,4,17,5,19,6,20,8,21,12,21,14,20,15,19,16,17,16,15,15,13,13,10,3,0,17,0]],3:[20,[5,21,16,21,10,13,13,13,15,12,16,11,17,8,17,6,16,3,14,1,11,0,8,0,5,1,4,2,3,4]],4:[20,[13,21,3,7,18,7,-1,-1,13,21,13,0]],5:[20,[15,21,5,21,4,12,5,13,8,14,11,14,14,13,16,11,17,8,17,6,16,3,14,1,11,0,8,0,5,1,4,2,3,4]],6:[20,[16,18,15,20,12,21,10,21,7,20,5,17,4,12,4,7,5,3,7,1,10,0,11,0,14,1,16,3,17,6,17,7,16,10,14,12,11,13,10,13,7,12,5,10,4,7]],7:[20,[17,21,7,0,-1,-1,3,21,17,21]],8:[20,[8,21,5,20,4,18,4,16,5,14,7,13,11,12,14,11,16,9,17,7,17,4,16,2,15,1,12,0,8,0,5,1,4,2,3,4,3,7,4,9,6,11,9,12,13,13,15,14,16,16,16,18,15,20,12,21,8,21]],9:[20,[16,14,15,11,13,9,10,8,9,8,6,9,4,11,3,14,3,15,4,18,6,20,9,21,10,21,13,20,15,18,16,14,16,9,15,4,13,1,10,0,8,0,5,1,4,3]],\":\":[10,[5,14,4,13,5,12,6,13,5,14,-1,-1,5,2,4,1,5,0,6,1,5,2]],\";\":[10,[5,14,4,13,5,12,6,13,5,14,-1,-1,6,1,5,0,4,1,5,2,6,1,6,-1,5,-3,4,-4]],\"<\":[24,[20,18,4,9,20,0]],\"=\":[26,[4,12,22,12,-1,-1,4,6,22,6]],\">\":[24,[4,18,20,9,4,0]],\"?\":[18,[3,16,3,17,4,19,5,20,7,21,11,21,13,20,14,19,15,17,15,15,14,13,13,12,9,10,9,7,-1,-1,9,2,8,1,9,0,10,1,9,2]],\"@\":[27,[18,13,17,15,15,16,12,16,10,15,9,14,8,11,8,8,9,6,11,5,14,5,16,6,17,8,-1,-1,12,16,10,14,9,11,9,8,10,6,11,5,-1,-1,18,16,17,8,17,6,19,5,21,5,23,7,24,10,24,12,23,15,22,17,20,19,18,20,15,21,12,21,9,20,7,19,5,17,4,15,3,12,3,9,4,6,5,4,7,2,9,1,12,0,15,0,18,1,20,2,21,3,-1,-1,19,16,18,8,18,6,19,5]],A:[18,[9,21,1,0,-1,-1,9,21,17,0,-1,-1,4,7,14,7]],B:[21,[4,21,4,0,-1,-1,4,21,13,21,16,20,17,19,18,17,18,15,17,13,16,12,13,11,-1,-1,4,11,13,11,16,10,17,9,18,7,18,4,17,2,16,1,13,0,4,0]],C:[21,[18,16,17,18,15,20,13,21,9,21,7,20,5,18,4,16,3,13,3,8,4,5,5,3,7,1,9,0,13,0,15,1,17,3,18,5]],D:[21,[4,21,4,0,-1,-1,4,21,11,21,14,20,16,18,17,16,18,13,18,8,17,5,16,3,14,1,11,0,4,0]],E:[19,[4,21,4,0,-1,-1,4,21,17,21,-1,-1,4,11,12,11,-1,-1,4,0,17,0]],F:[18,[4,21,4,0,-1,-1,4,21,17,21,-1,-1,4,11,12,11]],G:[21,[18,16,17,18,15,20,13,21,9,21,7,20,5,18,4,16,3,13,3,8,4,5,5,3,7,1,9,0,13,0,15,1,17,3,18,5,18,8,-1,-1,13,8,18,8]],H:[22,[4,21,4,0,-1,-1,18,21,18,0,-1,-1,4,11,18,11]],I:[8,[4,21,4,0]],J:[16,[12,21,12,5,11,2,10,1,8,0,6,0,4,1,3,2,2,5,2,7]],K:[21,[4,21,4,0,-1,-1,18,21,4,7,-1,-1,9,12,18,0]],L:[17,[4,21,4,0,-1,-1,4,0,16,0]],M:[24,[4,21,4,0,-1,-1,4,21,12,0,-1,-1,20,21,12,0,-1,-1,20,21,20,0]],N:[22,[4,21,4,0,-1,-1,4,21,18,0,-1,-1,18,21,18,0]],O:[22,[9,21,7,20,5,18,4,16,3,13,3,8,4,5,5,3,7,1,9,0,13,0,15,1,17,3,18,5,19,8,19,13,18,16,17,18,15,20,13,21,9,21]],P:[21,[4,21,4,0,-1,-1,4,21,13,21,16,20,17,19,18,17,18,14,17,12,16,11,13,10,4,10]],Q:[22,[9,21,7,20,5,18,4,16,3,13,3,8,4,5,5,3,7,1,9,0,13,0,15,1,17,3,18,5,19,8,19,13,18,16,17,18,15,20,13,21,9,21,-1,-1,12,4,18,-2]],R:[21,[4,21,4,0,-1,-1,4,21,13,21,16,20,17,19,18,17,18,15,17,13,16,12,13,11,4,11,-1,-1,11,11,18,0]],S:[20,[17,18,15,20,12,21,8,21,5,20,3,18,3,16,4,14,5,13,7,12,13,10,15,9,16,8,17,6,17,3,15,1,12,0,8,0,5,1,3,3]],T:[16,[8,21,8,0,-1,-1,1,21,15,21]],U:[22,[4,21,4,6,5,3,7,1,10,0,12,0,15,1,17,3,18,6,18,21]],V:[18,[1,21,9,0,-1,-1,17,21,9,0]],W:[24,[2,21,7,0,-1,-1,12,21,7,0,-1,-1,12,21,17,0,-1,-1,22,21,17,0]],X:[20,[3,21,17,0,-1,-1,17,21,3,0]],Y:[18,[1,21,9,11,9,0,-1,-1,17,21,9,11]],Z:[20,[17,21,3,0,-1,-1,3,21,17,21,-1,-1,3,0,17,0]],\"[\":[14,[4,25,4,-7,-1,-1,5,25,5,-7,-1,-1,4,25,11,25,-1,-1,4,-7,11,-7]],\"\\\\\":[14,[0,21,14,-3]],\"]\":[14,[9,25,9,-7,-1,-1,10,25,10,-7,-1,-1,3,25,10,25,-1,-1,3,-7,10,-7]],\"^\":[16,[6,15,8,18,10,15,-1,-1,3,12,8,17,13,12,-1,-1,8,17,8,0]],_:[16,[0,-2,16,-2]],\"`\":[10,[6,21,5,20,4,18,4,16,5,15,6,16,5,17]],a:[19,[15,14,15,0,-1,-1,15,11,13,13,11,14,8,14,6,13,4,11,3,8,3,6,4,3,6,1,8,0,11,0,13,1,15,3]],b:[19,[4,21,4,0,-1,-1,4,11,6,13,8,14,11,14,13,13,15,11,16,8,16,6,15,3,13,1,11,0,8,0,6,1,4,3]],c:[18,[15,11,13,13,11,14,8,14,6,13,4,11,3,8,3,6,4,3,6,1,8,0,11,0,13,1,15,3]],d:[19,[15,21,15,0,-1,-1,15,11,13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a,o,s,l,u,c,h,f,d=[];for(a=0,o=t.length;a<o;a++)if(u=n[t[a]]){for(f=null,s=0,l=u[1].length;s<l;s+=2)-1===u[1][s]&&-1===u[1][s+1]?f=null:(c=e+u[1][s]*i,h=r-u[1][s+1]*i,f&&d.push(f.x,f.y,c,h),f={x:c,y:h});e+=u[0]*i}return d}},{}],343:[function(t,e,r){\"use strict\";var n=e.exports={};n.version=t(\"../package.json\").version,n.Map=t(\"./ui/map\"),n.Control=t(\"./ui/control/control\"),n.Navigation=t(\"./ui/control/navigation\"),n.Geolocate=t(\"./ui/control/geolocate\"),n.Attribution=t(\"./ui/control/attribution\"),n.Popup=t(\"./ui/popup\"),n.Marker=t(\"./ui/marker\"),n.Style=t(\"./style/style\"),n.LngLat=t(\"./geo/lng_lat\"),n.LngLatBounds=t(\"./geo/lng_lat_bounds\"),n.Point=t(\"point-geometry\"),n.Evented=t(\"./util/evented\"),n.util=t(\"./util/util\"),n.supported=t(\"./util/browser\").supported;var i=t(\"./util/ajax\");n.util.getJSON=i.getJSON,n.util.getArrayBuffer=i.getArrayBuffer;var a=t(\"./util/config\");n.config=a,Object.defineProperty(n,\"accessToken\",{get:function(){return a.ACCESS_TOKEN},set:function(t){a.ACCESS_TOKEN=t}})},{\"../package.json\":444,\"./geo/lng_lat\":339,\"./geo/lng_lat_bounds\":340,\"./style/style\":378,\"./ui/control/attribution\":409,\"./ui/control/control\":410,\"./ui/control/geolocate\":411,\"./ui/control/navigation\":412,\"./ui/map\":421,\"./ui/marker\":422,\"./ui/popup\":423,\"./util/ajax\":425,\"./util/browser\":426,\"./util/config\":431,\"./util/evented\":434,\"./util/util\":442,\"point-geometry\":484}],344:[function(t,e,r){\"use strict\";var n=t(\"assert\");e.exports=function(t){for(var e={define:{},initialize:{}},r=0;r<t.length;r++){var i=t[r];n(\"u_\"===i.name.slice(0,2));var a=\"{precision} \"+(1===i.components?\"float\":\"vec\"+i.components);e.define[i.name.slice(2)]=\"uniform \"+a+\" \"+i.name+\";\\n\",e.initialize[i.name.slice(2)]=a+\" \"+i.name.slice(2)+\" = \"+i.name+\";\\n\"}return e}},{assert:47}],345:[function(t,e,r){\"use strict\";function n(t,e,r){var n,s=t.gl,l=t.transform,u=r.paint[\"background-color\"],c=r.paint[\"background-pattern\"],h=r.paint[\"background-opacity\"],f=c?t.spriteAtlas.getPosition(c.from,!0):null,d=c?t.spriteAtlas.getPosition(c.to,!0):null;if(t.setDepthSublayer(0),f&&d){if(t.isOpaquePass)return;n=t.useProgram(\"pattern\"),s.uniform1i(n.u_image,0),s.uniform2fv(n.u_pattern_tl_a,f.tl),s.uniform2fv(n.u_pattern_br_a,f.br),s.uniform2fv(n.u_pattern_tl_b,d.tl),s.uniform2fv(n.u_pattern_br_b,d.br),s.uniform1f(n.u_opacity,h),s.uniform1f(n.u_mix,c.t),s.uniform2fv(n.u_pattern_size_a,f.size),s.uniform2fv(n.u_pattern_size_b,d.size),s.uniform1f(n.u_scale_a,c.fromScale),s.uniform1f(n.u_scale_b,c.toScale),s.activeTexture(s.TEXTURE0),t.spriteAtlas.bind(s,!0),t.tileExtentPatternVAO.bind(s,n,t.tileExtentBuffer)}else{if(t.isOpaquePass!==(1===u[3]))return;var p=a([{name:\"u_color\",components:4},{name:\"u_opacity\",components:1}]);n=t.useProgram(\"fill\",[],p,p),s.uniform4fv(n.u_color,u),s.uniform1f(n.u_opacity,h),t.tileExtentVAO.bind(s,n,t.tileExtentBuffer)}s.disable(s.STENCIL_TEST);for(var m=l.coveringTiles({tileSize:o}),v=0;v<m.length;v++){var g=m[v];if(f&&d){var y={coord:g,tileSize:o};s.uniform1f(n.u_tile_units_to_pixels,1/i(y,1,t.transform.tileZoom));var b=y.tileSize*Math.pow(2,t.transform.tileZoom-y.coord.z),x=b*(y.coord.x+g.w*Math.pow(2,y.coord.z)),_=b*y.coord.y;s.uniform2f(n.u_pixel_coord_upper,x>>16,_>>16),s.uniform2f(n.u_pixel_coord_lower,65535&x,65535&_)}s.uniformMatrix4fv(n.u_matrix,!1,t.transform.calculatePosMatrix(g)),s.drawArrays(s.TRIANGLE_STRIP,0,t.tileExtentBuffer.length)}s.stencilMask(0),s.stencilFunc(s.EQUAL,128,128)}var i=t(\"../source/pixels_to_tile_units\"),a=t(\"./create_uniform_pragmas\"),o=512;e.exports=n},{\"../source/pixels_to_tile_units\":363,\"./create_uniform_pragmas\":344}],346:[function(t,e,r){\"use strict\";function n(t,e,r,n){if(!t.isOpaquePass){var a=t.gl;t.setDepthSublayer(0),t.depthMask(!1),a.disable(a.STENCIL_TEST);for(var o=0;o<n.length;o++){var s=n[o],l=e.getTile(s),u=l.getBucket(r);if(u){var c=u.bufferGroups.circle;if(c){var h=u.paintAttributes.circle[r.id],f=t.useProgram(\"circle\",h.defines,h.vertexPragmas,h.fragmentPragmas);\"map\"===r.paint[\"circle-pitch-scale\"]?(a.uniform1i(f.u_scale_with_map,!0),a.uniform2f(f.u_extrude_scale,t.transform.pixelsToGLUnits[0]*t.transform.altitude,t.transform.pixelsToGLUnits[1]*t.transform.altitude)):(a.uniform1i(f.u_scale_with_map,!1),a.uniform2fv(f.u_extrude_scale,t.transform.pixelsToGLUnits)),a.uniform1f(f.u_devicepixelratio,i.devicePixelRatio),a.uniformMatrix4fv(f.u_matrix,!1,t.translatePosMatrix(s.posMatrix,l,r.paint[\"circle-translate\"],r.paint[\"circle-translate-anchor\"])),u.setUniforms(a,\"circle\",f,r,{zoom:t.transform.zoom});for(var d=0;d<c.length;d++){var p=c[d];p.vaos[r.id].bind(a,f,p.layoutVertexBuffer,p.elementBuffer,p.paintVertexBuffers[r.id]),a.drawElements(a.TRIANGLES,3*p.elementBuffer.length,a.UNSIGNED_SHORT,0)}}}}}}var i=t(\"../util/browser\");e.exports=n},{\"../util/browser\":426}],347:[function(t,e,r){\"use strict\";function n(t,e,r,n){var i=t.gl;i.enable(i.STENCIL_TEST);for(var a=t.useProgram(\"collisionbox\"),o=0;o<n.length;o++){var s=n[o],l=e.getTile(s),u=l.getBucket(r);if(u){var c=u.bufferGroups.collisionBox;if(c&&c.length){var h=c[0];0!==h.layoutVertexBuffer.length&&(i.uniformMatrix4fv(a.u_matrix,!1,s.posMatrix),t.enableTileClippingMask(s),t.lineWidth(1),i.uniform1f(a.u_scale,Math.pow(2,t.transform.zoom-l.coord.z)),i.uniform1f(a.u_zoom,10*t.transform.zoom),i.uniform1f(a.u_maxzoom,10*(l.coord.z+1)),h.vaos[r.id].bind(i,a,h.layoutVertexBuffer),i.drawArrays(i.LINES,0,h.layoutVertexBuffer.length))}}}}e.exports=n},{}],348:[function(t,e,r){\"use strict\";function n(t,e,r){if(!t.isOpaquePass&&t.options.debug)for(var n=0;n<r.length;n++)i(t,e,r[n])}function i(t,e,r){var n=t.gl;n.disable(n.STENCIL_TEST),t.lineWidth(1*o.devicePixelRatio);var i=r.posMatrix,h=t.useProgram(\"debug\");n.uniformMatrix4fv(h.u_matrix,!1,i),n.uniform4f(h.u_color,1,0,0,1),t.debugVAO.bind(n,h,t.debugBuffer),n.drawArrays(n.LINE_STRIP,0,t.debugBuffer.length);for(var f=a(r.toString(),50,200,5),d=new t.PosArray,p=0;p<f.length;p+=2)d.emplaceBack(f[p],f[p+1]);var m=new u(d.serialize(),t.PosArray.serialize(),u.BufferType.VERTEX);(new c).bind(n,h,m),n.uniform4f(h.u_color,1,1,1,1);for(var v=e.getTile(r).tileSize,g=l/(Math.pow(2,t.transform.zoom-r.z)*v),y=[[-1,-1],[-1,1],[1,-1],[1,1]],b=0;b<y.length;b++){var x=y[b];n.uniformMatrix4fv(h.u_matrix,!1,s.translate([],i,[g*x[0],g*x[1],0])),n.drawArrays(n.LINES,0,m.length)}n.uniform4f(h.u_color,0,0,0,1),n.uniformMatrix4fv(h.u_matrix,!1,i),n.drawArrays(n.LINES,0,m.length)}var a=t(\"../lib/debugtext\"),o=t(\"../util/browser\"),s=t(\"gl-matrix\").mat4,l=t(\"../data/bucket\").EXTENT,u=t(\"../data/buffer\"),c=t(\"./vertex_array_object\");e.exports=n},{\"../data/bucket\":329,\"../data/buffer\":334,\"../lib/debugtext\":342,\"../util/browser\":426,\"./vertex_array_object\":357,\"gl-matrix\":193}],349:[function(t,e,r){\"use strict\";function n(t,e,r,n){var o=t.gl;o.enable(o.STENCIL_TEST);var s;if(s=!r.paint[\"fill-pattern\"]&&(r.isPaintValueFeatureConstant(\"fill-color\")&&r.isPaintValueFeatureConstant(\"fill-opacity\")&&1===r.paint[\"fill-color\"][3]&&1===r.paint[\"fill-opacity\"]),t.isOpaquePass===s){t.setDepthSublayer(1);for(var l=0;l<n.length;l++)i(t,e,r,n[l])}if(!t.isOpaquePass&&r.paint[\"fill-antialias\"]){t.lineWidth(2),t.depthMask(!1);var u=r.getPaintProperty(\"fill-outline-color\");(u||!r.paint[\"fill-pattern\"])&&u?t.setDepthSublayer(2):t.setDepthSublayer(0);for(var c=0;c<n.length;c++)a(t,e,r,n[c])}}function i(t,e,r,n){var i=e.getTile(n),a=i.getBucket(r);if(a){var s=a.bufferGroups.fill;if(s){var l,u=t.gl,c=r.paint[\"fill-pattern\"];if(c)l=t.useProgram(\"pattern\"),o(c,r.paint[\"fill-opacity\"],i,n,t,l),u.activeTexture(u.TEXTURE0),t.spriteAtlas.bind(u,!0);else{var h=a.paintAttributes.fill[r.id];l=t.useProgram(\"fill\",h.defines,h.vertexPragmas,h.fragmentPragmas),a.setUniforms(u,\"fill\",l,r,{zoom:t.transform.zoom})}u.uniformMatrix4fv(l.u_matrix,!1,t.translatePosMatrix(n.posMatrix,i,r.paint[\"fill-translate\"],r.paint[\"fill-translate-anchor\"])),t.enableTileClippingMask(n);for(var f=0;f<s.length;f++){var d=s[f];d.vaos[r.id].bind(u,l,d.layoutVertexBuffer,d.elementBuffer,d.paintVertexBuffers[r.id]),u.drawElements(u.TRIANGLES,d.elementBuffer.length,u.UNSIGNED_SHORT,0)}}}}function a(t,e,r,n){var i=e.getTile(n),a=i.getBucket(r);if(a){var s,l=t.gl,u=a.bufferGroups.fill,c=r.paint[\"fill-pattern\"],h=r.paint[\"fill-opacity\"],f=r.getPaintProperty(\"fill-outline-color\");if(c&&!f)s=t.useProgram(\"outlinepattern\"),l.uniform2f(s.u_world,l.drawingBufferWidth,l.drawingBufferHeight);else{var d=a.paintAttributes.fill[r.id];s=t.useProgram(\"outline\",d.defines,d.vertexPragmas,d.fragmentPragmas),l.uniform2f(s.u_world,l.drawingBufferWidth,l.drawingBufferHeight),l.uniform1f(s.u_opacity,h),a.setUniforms(l,\"fill\",s,r,{zoom:t.transform.zoom})}l.uniformMatrix4fv(s.u_matrix,!1,t.translatePosMatrix(n.posMatrix,i,r.paint[\"fill-translate\"],r.paint[\"fill-translate-anchor\"])),c&&o(c,h,i,n,t,s),t.enableTileClippingMask(n);for(var p=0;p<u.length;p++){var m=u[p];m.secondVaos[r.id].bind(l,s,m.layoutVertexBuffer,m.elementBuffer2,m.paintVertexBuffers[r.id]),l.drawElements(l.LINES,2*m.elementBuffer2.length,l.UNSIGNED_SHORT,0)}}}function o(t,e,r,n,i,a){var o=i.gl,l=i.spriteAtlas.getPosition(t.from,!0),u=i.spriteAtlas.getPosition(t.to,!0);if(l&&u){o.uniform1i(a.u_image,0),o.uniform2fv(a.u_pattern_tl_a,l.tl),o.uniform2fv(a.u_pattern_br_a,l.br),o.uniform2fv(a.u_pattern_tl_b,u.tl),o.uniform2fv(a.u_pattern_br_b,u.br),o.uniform1f(a.u_opacity,e),o.uniform1f(a.u_mix,t.t),o.uniform1f(a.u_tile_units_to_pixels,1/s(r,1,i.transform.tileZoom)),o.uniform2fv(a.u_pattern_size_a,l.size),o.uniform2fv(a.u_pattern_size_b,u.size),o.uniform1f(a.u_scale_a,t.fromScale),o.uniform1f(a.u_scale_b,t.toScale);var c=r.tileSize*Math.pow(2,i.transform.tileZoom-r.coord.z),h=c*(r.coord.x+n.w*Math.pow(2,r.coord.z)),f=c*r.coord.y;o.uniform2f(a.u_pixel_coord_upper,h>>16,f>>16),o.uniform2f(a.u_pixel_coord_lower,65535&h,65535&f),o.activeTexture(o.TEXTURE0),i.spriteAtlas.bind(o,!0)}}var s=t(\"../source/pixels_to_tile_units\");e.exports=n},{\"../source/pixels_to_tile_units\":363}],350:[function(t,e,r){\"use strict\";var n=t(\"../util/browser\"),i=t(\"gl-matrix\").mat2,a=t(\"../source/pixels_to_tile_units\");e.exports=function(t,e,r,o){if(!t.isOpaquePass){t.setDepthSublayer(0),t.depthMask(!1);var s=t.gl;if(s.enable(s.STENCIL_TEST),!(r.paint[\"line-width\"]<=0)){var l=1/n.devicePixelRatio,u=r.paint[\"line-blur\"]+l,c=r.paint[\"line-color\"],h=t.transform,f=i.create();i.scale(f,f,[1,Math.cos(h._pitch)]),i.rotate(f,f,t.transform.angle);var d,p,m,v,g,y=Math.sqrt(h.height*h.height/4*(1+h.altitude*h.altitude)),b=h.height/2*Math.tan(h._pitch),x=(y+b)/y-1,_=r.paint[\"line-dasharray\"],w=r.paint[\"line-pattern\"];if(_)d=t.useProgram(\"linesdfpattern\"),s.uniform1f(d.u_linewidth,r.paint[\"line-width\"]/2),s.uniform1f(d.u_gapwidth,r.paint[\"line-gap-width\"]/2),s.uniform1f(d.u_antialiasing,l/2),s.uniform1f(d.u_blur,u),s.uniform4fv(d.u_color,c),s.uniform1f(d.u_opacity,r.paint[\"line-opacity\"]),p=t.lineAtlas.getDash(_.from,\"round\"===r.layout[\"line-cap\"]),m=t.lineAtlas.getDash(_.to,\"round\"===r.layout[\"line-cap\"]),s.uniform1i(d.u_image,0),s.activeTexture(s.TEXTURE0),t.lineAtlas.bind(s),s.uniform1f(d.u_tex_y_a,p.y),s.uniform1f(d.u_tex_y_b,m.y),s.uniform1f(d.u_mix,_.t),s.uniform1f(d.u_extra,x),s.uniform1f(d.u_offset,-r.paint[\"line-offset\"]),s.uniformMatrix2fv(d.u_antialiasingmatrix,!1,f);else if(w){if(v=t.spriteAtlas.getPosition(w.from,!0),g=t.spriteAtlas.getPosition(w.to,!0),!v||!g)return;d=t.useProgram(\"linepattern\"),s.uniform1i(d.u_image,0),s.activeTexture(s.TEXTURE0),t.spriteAtlas.bind(s,!0),s.uniform1f(d.u_linewidth,r.paint[\"line-width\"]/2),s.uniform1f(d.u_gapwidth,r.paint[\"line-gap-width\"]/2),s.uniform1f(d.u_antialiasing,l/2),s.uniform1f(d.u_blur,u),s.uniform2fv(d.u_pattern_tl_a,v.tl),s.uniform2fv(d.u_pattern_br_a,v.br),s.uniform2fv(d.u_pattern_tl_b,g.tl),s.uniform2fv(d.u_pattern_br_b,g.br),s.uniform1f(d.u_fade,w.t),s.uniform1f(d.u_opacity,r.paint[\"line-opacity\"]),s.uniform1f(d.u_extra,x),s.uniform1f(d.u_offset,-r.paint[\"line-offset\"]),s.uniformMatrix2fv(d.u_antialiasingmatrix,!1,f)}else d=t.useProgram(\"line\"),s.uniform1f(d.u_linewidth,r.paint[\"line-width\"]/2),s.uniform1f(d.u_gapwidth,r.paint[\"line-gap-width\"]/2),s.uniform1f(d.u_antialiasing,l/2),s.uniform1f(d.u_blur,u),s.uniform1f(d.u_extra,x),s.uniform1f(d.u_offset,-r.paint[\"line-offset\"]),s.uniformMatrix2fv(d.u_antialiasingmatrix,!1,f),s.uniform4fv(d.u_color,c),s.uniform1f(d.u_opacity,r.paint[\"line-opacity\"]);for(var M=0;M<o.length;M++){var k=o[M],A=e.getTile(k),T=A.getBucket(r);if(T){var S=T.bufferGroups.line;if(S){t.enableTileClippingMask(k);var E=t.translatePosMatrix(k.posMatrix,A,r.paint[\"line-translate\"],r.paint[\"line-translate-anchor\"]);s.uniformMatrix4fv(d.u_matrix,!1,E);var L=1/a(A,1,t.transform.zoom);if(_){var C=p.width*_.fromScale,I=m.width*_.toScale,z=[1/a(A,C,t.transform.tileZoom),-p.height/2],D=[1/a(A,I,t.transform.tileZoom),-m.height/2],P=t.lineAtlas.width/(256*Math.min(C,I)*n.devicePixelRatio)/2;s.uniform1f(d.u_ratio,L),s.uniform2fv(d.u_patternscale_a,z),s.uniform2fv(d.u_patternscale_b,D),s.uniform1f(d.u_sdfgamma,P)}else w?(s.uniform1f(d.u_ratio,L),s.uniform2fv(d.u_pattern_size_a,[a(A,v.size[0]*w.fromScale,t.transform.tileZoom),g.size[1]]),s.uniform2fv(d.u_pattern_size_b,[a(A,g.size[0]*w.toScale,t.transform.tileZoom),g.size[1]])):s.uniform1f(d.u_ratio,L);for(var O=0;O<S.length;O++){var R=S[O];R.vaos[r.id].bind(s,d,R.layoutVertexBuffer,R.elementBuffer),s.drawElements(s.TRIANGLES,3*R.elementBuffer.length,s.UNSIGNED_SHORT,0)}}}}}}}},{\"../source/pixels_to_tile_units\":363,\"../util/browser\":426,\"gl-matrix\":193}],351:[function(t,e,r){\"use strict\";function n(t,e,r,n){if(!t.isOpaquePass){var a=t.gl;a.enable(a.DEPTH_TEST),t.depthMask(!0),a.depthFunc(a.LESS);for(var o=n.length&&n[0].z,s=0;s<n.length;s++){var l=n[s];t.setDepthSublayer(l.z-o),i(t,e,r,l)}a.depthFunc(a.LEQUAL)}}function i(t,e,r,n){var i=t.gl;i.disable(i.STENCIL_TEST);var u=e.getTile(n),c=t.transform.calculatePosMatrix(n,e.maxzoom),h=t.useProgram(\"raster\");i.uniformMatrix4fv(h.u_matrix,!1,c),i.uniform1f(h.u_brightness_low,r.paint[\"raster-brightness-min\"]),i.uniform1f(h.u_brightness_high,r.paint[\"raster-brightness-max\"]),i.uniform1f(h.u_saturation_factor,s(r.paint[\"raster-saturation\"])),i.uniform1f(h.u_contrast_factor,o(r.paint[\"raster-contrast\"])),i.uniform3fv(h.u_spin_weights,a(r.paint[\"raster-hue-rotate\"]));var f,d,p=u.source&&u.source.findLoadedParent(n,0,{}),m=l(u,p,r,t.transform);i.activeTexture(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,u.texture),i.activeTexture(i.TEXTURE1),p?(i.bindTexture(i.TEXTURE_2D,p.texture),f=Math.pow(2,p.coord.z-u.coord.z),d=[u.coord.x*f%1,u.coord.y*f%1]):(i.bindTexture(i.TEXTURE_2D,u.texture),m[1]=0),i.uniform2fv(h.u_tl_parent,d||[0,0]),i.uniform1f(h.u_scale_parent,f||1),i.uniform1f(h.u_buffer_scale,1),i.uniform1f(h.u_opacity0,m[0]),i.uniform1f(h.u_opacity1,m[1]),i.uniform1i(h.u_image0,0),i.uniform1i(h.u_image1,1);var v=u.boundsBuffer||t.rasterBoundsBuffer;(u.boundsVAO||t.rasterBoundsVAO).bind(i,h,v),i.drawArrays(i.TRIANGLE_STRIP,0,v.length)}function a(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}function o(t){return t>0?1/(1-t):1+t}function s(t){return t>0?1-1/(1.001-t):-t}function l(t,e,r,n){var i=[1,0],a=r.paint[\"raster-fade-duration\"];if(t.source&&a>0){var o=(new Date).getTime(),s=(o-t.timeAdded)/a,l=e?(o-e.timeAdded)/a:-1,c=n.coveringZoomLevel(t.source),h=!!e&&Math.abs(e.coord.z-c)>Math.abs(t.coord.z-c);!e||h?(i[0]=u.clamp(s,0,1),i[1]=1-i[0]):(i[0]=u.clamp(1-l,0,1),i[1]=1-i[0])}var f=r.paint[\"raster-opacity\"];return i[0]*=f,i[1]*=f,i}var u=t(\"../util/util\"),c=t(\"../util/struct_array\");e.exports=n,n.RasterBoundsArray=new c({members:[{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]})},{\"../util/struct_array\":440,\"../util/util\":442}],352:[function(t,e,r){\"use strict\";function n(t,e,r,n){if(!t.isOpaquePass){var a=!(r.layout[\"text-allow-overlap\"]||r.layout[\"icon-allow-overlap\"]||r.layout[\"text-ignore-placement\"]||r.layout[\"icon-ignore-placement\"]),o=t.gl;a?o.disable(o.STENCIL_TEST):o.enable(o.STENCIL_TEST),t.setDepthSublayer(0),t.depthMask(!1),o.disable(o.DEPTH_TEST),i(t,e,r,n,!1,r.paint[\"icon-translate\"],r.paint[\"icon-translate-anchor\"],r.layout[\"icon-rotation-alignment\"],r.layout[\"icon-rotation-alignment\"],r.layout[\"icon-size\"],r.paint[\"icon-halo-width\"],r.paint[\"icon-halo-color\"],r.paint[\"icon-halo-blur\"],r.paint[\"icon-opacity\"],r.paint[\"icon-color\"]),\n",
       "i(t,e,r,n,!0,r.paint[\"text-translate\"],r.paint[\"text-translate-anchor\"],r.layout[\"text-rotation-alignment\"],r.layout[\"text-pitch-alignment\"],r.layout[\"text-size\"],r.paint[\"text-halo-width\"],r.paint[\"text-halo-color\"],r.paint[\"text-halo-blur\"],r.paint[\"text-opacity\"],r.paint[\"text-color\"]),o.enable(o.DEPTH_TEST),e.map.showCollisionBoxes&&s(t,e,r,n)}}function i(t,e,r,n,i,o,s,l,u,c,h,f,d,p,m){for(var v=0;v<n.length;v++){var g=e.getTile(n[v]),y=g.getBucket(r);if(y){var b=y.bufferGroups,x=i?b.glyph:b.icon;x.length&&(t.enableTileClippingMask(n[v]),a(t,r,n[v].posMatrix,g,y,x,i,i||y.sdfIcons,!i&&y.iconsNeedLinear,i?y.adjustedTextSize:y.adjustedIconSize,y.fontstack,o,s,l,u,c,h,f,d,p,m))}}}function a(t,e,r,n,i,a,s,u,c,h,f,d,p,m,v,g,y,b,x,_,w){var M,k,A,T=t.gl,S=t.transform,E=\"map\"===m,L=\"map\"===v,C=s?24:1,I=g/C;if(L?(k=l(n,1,t.transform.zoom)*I,A=1/Math.cos(S._pitch),M=[k,k]):(k=t.transform.altitude*I,A=1,M=[S.pixelsToGLUnits[0]*k,S.pixelsToGLUnits[1]*k]),s||t.style.sprite.loaded()){var z=t.useProgram(u?\"sdf\":\"icon\");if(T.uniformMatrix4fv(z.u_matrix,!1,t.translatePosMatrix(r,n,d,p)),T.uniform1i(z.u_rotate_with_map,E),T.uniform1i(z.u_pitch_with_map,L),T.uniform2fv(z.u_extrude_scale,M),T.activeTexture(T.TEXTURE0),T.uniform1i(z.u_texture,0),s){var D=f&&t.glyphSource.getGlyphAtlas(f);if(!D)return;D.updateTexture(T),T.uniform2f(z.u_texsize,D.width/4,D.height/4)}else{var P=t.options.rotating||t.options.zooming,O=1!==I||o.devicePixelRatio!==t.spriteAtlas.pixelRatio||c,R=L||t.transform.pitch;t.spriteAtlas.bind(T,u||P||O||R),T.uniform2f(z.u_texsize,t.spriteAtlas.width/4,t.spriteAtlas.height/4)}var F=Math.log(g/h)/Math.LN2||0;T.uniform1f(z.u_zoom,10*(t.transform.zoom-F)),T.activeTexture(T.TEXTURE1),t.frameHistory.bind(T),T.uniform1i(z.u_fadetexture,1);var j;if(u){var N=.105*C/g/o.devicePixelRatio;if(y){T.uniform1f(z.u_gamma,(1.19*x/I/8+N)*A),T.uniform4fv(z.u_color,b),T.uniform1f(z.u_opacity,_),T.uniform1f(z.u_buffer,(6-y/I)/8);for(var B=0;B<a.length;B++)j=a[B],j.vaos[e.id].bind(T,z,j.layoutVertexBuffer,j.elementBuffer),T.drawElements(T.TRIANGLES,3*j.elementBuffer.length,T.UNSIGNED_SHORT,0)}T.uniform1f(z.u_gamma,N*A),T.uniform4fv(z.u_color,w),T.uniform1f(z.u_opacity,_),T.uniform1f(z.u_buffer,.75),T.uniform1f(z.u_pitch,S.pitch/360*2*Math.PI),T.uniform1f(z.u_bearing,S.bearing/360*2*Math.PI),T.uniform1f(z.u_aspect_ratio,S.width/S.height);for(var U=0;U<a.length;U++)j=a[U],j.vaos[e.id].bind(T,z,j.layoutVertexBuffer,j.elementBuffer),T.drawElements(T.TRIANGLES,3*j.elementBuffer.length,T.UNSIGNED_SHORT,0)}else{T.uniform1f(z.u_opacity,_);for(var V=0;V<a.length;V++)j=a[V],j.vaos[e.id].bind(T,z,j.layoutVertexBuffer,j.elementBuffer),T.drawElements(T.TRIANGLES,3*j.elementBuffer.length,T.UNSIGNED_SHORT,0)}}}var o=t(\"../util/browser\"),s=t(\"./draw_collision_debug\"),l=t(\"../source/pixels_to_tile_units\");e.exports=n},{\"../source/pixels_to_tile_units\":363,\"../util/browser\":426,\"./draw_collision_debug\":347}],353:[function(t,e,r){\"use strict\";function n(){this.changeTimes=new Float64Array(256),this.changeOpacities=new Uint8Array(256),this.opacities=new Uint8ClampedArray(256),this.array=new Uint8Array(this.opacities.buffer),this.fadeDuration=300,this.previousZoom=0,this.firstFrame=!0}e.exports=n,n.prototype.record=function(t){var e=Date.now();this.firstFrame&&(e=0,this.firstFrame=!1),t=Math.floor(10*t);var r;if(t<this.previousZoom)for(r=t+1;r<=this.previousZoom;r++)this.changeTimes[r]=e,this.changeOpacities[r]=this.opacities[r];else for(r=t;r>this.previousZoom;r--)this.changeTimes[r]=e,this.changeOpacities[r]=this.opacities[r];for(r=0;r<256;r++){var n=e-this.changeTimes[r],i=n/this.fadeDuration*255;this.opacities[r]=r<=t?this.changeOpacities[r]+i:this.changeOpacities[r]-i}this.changed=!0,this.previousZoom=t},n.prototype.bind=function(t){this.texture?(t.bindTexture(t.TEXTURE_2D,this.texture),this.changed&&(t.texSubImage2D(t.TEXTURE_2D,0,0,0,256,1,t.ALPHA,t.UNSIGNED_BYTE,this.array),this.changed=!1)):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),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),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texImage2D(t.TEXTURE_2D,0,t.ALPHA,256,1,0,t.ALPHA,t.UNSIGNED_BYTE,this.array))}},{}],354:[function(t,e,r){\"use strict\";function n(t,e){this.width=t,this.height=e,this.nextRow=0,this.bytes=4,this.data=new Uint8Array(this.width*this.height*this.bytes),this.positions={}}var i=t(\"../util/util\");e.exports=n,n.prototype.setSprite=function(t){this.sprite=t},n.prototype.getDash=function(t,e){var r=t.join(\",\")+e;return this.positions[r]||(this.positions[r]=this.addDash(t,e)),this.positions[r]},n.prototype.addDash=function(t,e){var r=e?7:0,n=2*r+1;if(this.nextRow+n>this.height)return i.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<t.length;o++)a+=t[o];for(var s=this.width/a,l=s/2,u=t.length%2==1,c=-r;c<=r;c++)for(var h=this.nextRow+r+c,f=this.width*h,d=u?-t[t.length-1]:0,p=t[0],m=1,v=0;v<this.width;v++){for(;p<v/s;)d=p,p+=t[m],u&&m===t.length-1&&(p+=t[0]),m++;var g,y=Math.abs(v-d*s),b=Math.abs(v-p*s),x=Math.min(y,b),_=m%2==1;if(e){var w=r?c/r*(l+1):0;if(_){var M=l-Math.abs(w);g=Math.sqrt(x*x+M*M)}else g=l-Math.sqrt(x*x+w*w)}else g=(_?1:-1)*x;this.data[3+4*(f+v)]=Math.max(0,Math.min(255,g+128))}var k={y:(this.nextRow+r+.5)/this.height,height:2*r/this.height,width:a};return this.nextRow+=n,this.dirty=!0,k},n.prototype.bind=function(t){this.texture?(t.bindTexture(t.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,t.texSubImage2D(t.TEXTURE_2D,0,0,0,this.width,this.height,t.RGBA,t.UNSIGNED_BYTE,this.data))):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.REPEAT),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.REPEAT),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.LINEAR),t.texImage2D(t.TEXTURE_2D,0,t.RGBA,this.width,this.height,0,t.RGBA,t.UNSIGNED_BYTE,this.data))}},{\"../util/util\":442}],355:[function(t,e,r){\"use strict\";function n(t,e){this.gl=t,this.transform=e,this.reusableTextures={},this.preFbos={},this.frameHistory=new o,this.setup(),this.numSublayers=s.maxUnderzooming+s.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.lineWidthRange=t.getParameter(t.ALIASED_LINE_WIDTH_RANGE)}var i=t(\"../util/browser\"),a=t(\"gl-matrix\").mat4,o=t(\"./frame_history\"),s=t(\"../source/source_cache\"),l=t(\"../data/bucket\").EXTENT,u=t(\"../source/pixels_to_tile_units\"),c=t(\"../util/util\"),h=t(\"../util/struct_array\"),f=t(\"../data/buffer\"),d=t(\"./vertex_array_object\"),p=t(\"./draw_raster\").RasterBoundsArray,m=t(\"./create_uniform_pragmas\");e.exports=n,c.extend(n.prototype,t(\"./painter/use_program\")),n.prototype.resize=function(t,e){var r=this.gl;this.width=t*i.devicePixelRatio,this.height=e*i.devicePixelRatio,r.viewport(0,0,this.width,this.height)},n.prototype.setup=function(){var t=this.gl;t.verbose=!0,t.enable(t.BLEND),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),t.enable(t.STENCIL_TEST),t.enable(t.DEPTH_TEST),t.depthFunc(t.LEQUAL),this._depthMask=!1,t.depthMask(!1);var e=this.PosArray=new h({members:[{name:\"a_pos\",type:\"Int16\",components:2}]}),r=new e;r.emplaceBack(0,0),r.emplaceBack(l,0),r.emplaceBack(0,l),r.emplaceBack(l,l),this.tileExtentBuffer=new f(r.serialize(),e.serialize(),f.BufferType.VERTEX),this.tileExtentVAO=new d,this.tileExtentPatternVAO=new d;var n=new e;n.emplaceBack(0,0),n.emplaceBack(l,0),n.emplaceBack(l,l),n.emplaceBack(0,l),n.emplaceBack(0,0),this.debugBuffer=new f(n.serialize(),e.serialize(),f.BufferType.VERTEX),this.debugVAO=new d;var i=new p;i.emplaceBack(0,0,0,0),i.emplaceBack(l,0,32767,0),i.emplaceBack(0,l,0,32767),i.emplaceBack(l,l,32767,32767),this.rasterBoundsBuffer=new f(i.serialize(),p.serialize(),f.BufferType.VERTEX),this.rasterBoundsVAO=new d},n.prototype.clearColor=function(){var t=this.gl;t.clearColor(0,0,0,0),t.clear(t.COLOR_BUFFER_BIT)},n.prototype.clearStencil=function(){var t=this.gl;t.clearStencil(0),t.stencilMask(255),t.clear(t.STENCIL_BUFFER_BIT)},n.prototype.clearDepth=function(){var t=this.gl;t.clearDepth(1),this.depthMask(!0),t.clear(t.DEPTH_BUFFER_BIT)},n.prototype._renderTileClippingMasks=function(t){var e=this.gl;e.colorMask(!1,!1,!1,!1),this.depthMask(!1),e.disable(e.DEPTH_TEST),e.enable(e.STENCIL_TEST),e.stencilMask(248),e.stencilOp(e.KEEP,e.KEEP,e.REPLACE);var r=1;this._tileClippingMaskIDs={};for(var n=0;n<t.length;n++){var i=t[n],a=this._tileClippingMaskIDs[i.id]=r++<<3;e.stencilFunc(e.ALWAYS,a,248);var o=m([{name:\"u_color\",components:4},{name:\"u_opacity\",components:1}]),s=this.useProgram(\"fill\",[],o,o);e.uniformMatrix4fv(s.u_matrix,!1,i.posMatrix),this.tileExtentVAO.bind(e,s,this.tileExtentBuffer),e.drawArrays(e.TRIANGLE_STRIP,0,this.tileExtentBuffer.length)}e.stencilMask(0),e.colorMask(!0,!0,!0,!0),this.depthMask(!0),e.enable(e.DEPTH_TEST)},n.prototype.enableTileClippingMask=function(t){var e=this.gl;e.stencilFunc(e.EQUAL,this._tileClippingMaskIDs[t.id],248)},n.prototype.prepareBuffers=function(){},n.prototype.bindDefaultFramebuffer=function(){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,null)};var v={symbol:t(\"./draw_symbol\"),circle:t(\"./draw_circle\"),line:t(\"./draw_line\"),fill:t(\"./draw_fill\"),raster:t(\"./draw_raster\"),background:t(\"./draw_background\"),debug:t(\"./draw_debug\")};n.prototype.render=function(t,e){this.style=t,this.options=e,this.lineAtlas=t.lineAtlas,this.spriteAtlas=t.spriteAtlas,this.spriteAtlas.setSprite(t.sprite),this.glyphSource=t.glyphSource,this.frameHistory.record(this.transform.zoom),this.prepareBuffers(),this.clearColor(),this.clearDepth(),this.showOverdrawInspector(e.showOverdrawInspector),this.depthRange=(t._order.length+2)*this.numSublayers*this.depthEpsilon,this.renderPass({isOpaquePass:!0}),this.renderPass({isOpaquePass:!1})},n.prototype.renderPass=function(t){var e=this.style._groups,r=t.isOpaquePass;this.currentLayer=r?this.style._order.length:-1;for(var n=0;n<e.length;n++){var i,a=e[r?e.length-1-n:n],o=this.style.sources[a.source],s=[];if(o){for(s=o.getVisibleCoordinates(),i=0;i<s.length;i++)s[i].posMatrix=this.transform.calculatePosMatrix(s[i],o.maxzoom);this.clearStencil(),o.prepare&&o.prepare(),o.isTileClipped&&this._renderTileClippingMasks(s)}for(r?(this._showOverdrawInspector||this.gl.disable(this.gl.BLEND),this.isOpaquePass=!0):(this.gl.enable(this.gl.BLEND),this.isOpaquePass=!1,s.reverse()),i=0;i<a.length;i++){var l=a[r?a.length-1-i:i];this.currentLayer+=r?-1:1,this.renderLayer(this,o,l,s)}o&&v.debug(this,o,s)}},n.prototype.depthMask=function(t){t!==this._depthMask&&(this._depthMask=t,this.gl.depthMask(t))},n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||n.length)&&(this.id=r.id,v[r.type](t,e,r,n))},n.prototype.setDepthSublayer=function(t){var e=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon,r=e-1+this.depthRange;this.gl.depthRange(r,e)},n.prototype.translatePosMatrix=function(t,e,r,n){if(!r[0]&&!r[1])return t;if(\"viewport\"===n){var i=Math.sin(-this.transform.angle),o=Math.cos(-this.transform.angle);r=[r[0]*o-r[1]*i,r[0]*i+r[1]*o]}var s=[u(e,r[0],this.transform.zoom),u(e,r[1],this.transform.zoom),0],l=new Float32Array(16);return a.translate(l,t,s),l},n.prototype.saveTexture=function(t){var e=this.reusableTextures[t.size];e?e.push(t):this.reusableTextures[t.size]=[t]},n.prototype.getTexture=function(t){var e=this.reusableTextures[t];return e&&e.length>0?e.pop():null},n.prototype.lineWidth=function(t){this.gl.lineWidth(c.clamp(t,this.lineWidthRange[0],this.lineWidthRange[1]))},n.prototype.showOverdrawInspector=function(t){if(t||this._showOverdrawInspector){this._showOverdrawInspector=t;var e=this.gl;if(t){e.blendFunc(e.CONSTANT_COLOR,e.ONE);e.blendColor(1/8,1/8,1/8,0),e.clearColor(0,0,0,1),e.clear(e.COLOR_BUFFER_BIT)}else e.blendFunc(e.ONE,e.ONE_MINUS_SRC_ALPHA)}}},{\"../data/bucket\":329,\"../data/buffer\":334,\"../source/pixels_to_tile_units\":363,\"../source/source_cache\":367,\"../util/browser\":426,\"../util/struct_array\":440,\"../util/util\":442,\"./create_uniform_pragmas\":344,\"./draw_background\":345,\"./draw_circle\":346,\"./draw_debug\":348,\"./draw_fill\":349,\"./draw_line\":350,\"./draw_raster\":351,\"./draw_symbol\":352,\"./frame_history\":353,\"./painter/use_program\":356,\"./vertex_array_object\":357,\"gl-matrix\":193}],356:[function(t,e,r){\"use strict\";function n(t,e){return t.replace(/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,function(t,r,n,i,a){return e[r][a].replace(/{type}/g,i).replace(/{precision}/g,n)})}var i=t(\"assert\"),a=t(\"../../util/util\"),o=t(\"mapbox-gl-shaders\"),s=o.util;e.exports._createProgram=function(t,e,r,l){for(var u=this.gl,c=u.createProgram(),h=o[t],f=\"#define MAPBOX_GL_JS;\\n\",d=0;d<e.length;d++)f+=\"#define \"+e[d]+\";\\n\";var p=u.createShader(u.FRAGMENT_SHADER);u.shaderSource(p,n(f+h.fragmentSource,l)),u.compileShader(p),i(u.getShaderParameter(p,u.COMPILE_STATUS),u.getShaderInfoLog(p)),u.attachShader(c,p);var m=u.createShader(u.VERTEX_SHADER);u.shaderSource(m,n(f+s+h.vertexSource,r)),u.compileShader(m),i(u.getShaderParameter(m,u.COMPILE_STATUS),u.getShaderInfoLog(m)),u.attachShader(c,m),u.linkProgram(c),i(u.getProgramParameter(c,u.LINK_STATUS),u.getProgramInfoLog(c));for(var v={},g=u.getProgramParameter(c,u.ACTIVE_ATTRIBUTES),y=0;y<g;y++){var b=u.getActiveAttrib(c,y);v[b.name]=u.getAttribLocation(c,b.name)}for(var x={},_=u.getProgramParameter(c,u.ACTIVE_UNIFORMS),w=0;w<_;w++){var M=u.getActiveUniform(c,w);x[M.name]=u.getUniformLocation(c,M.name)}return a.extend({program:c,definition:h,attributes:v,numAttributes:g},v,x)},e.exports._createProgramCached=function(t,e,r,n){this.cache=this.cache||{};var i=JSON.stringify({name:t,defines:e,vertexPragmas:r,fragmentPragmas:n});return this.cache[i]||(this.cache[i]=this._createProgram(t,e,r,n)),this.cache[i]},e.exports.useProgram=function(t,e,r,n){var i=this.gl;e=e||[],this._showOverdrawInspector&&(e=e.concat(\"OVERDRAW_INSPECTOR\"));var a=this._createProgramCached(t,e,r,n);return this.currentProgram!==a&&(i.useProgram(a.program),this.currentProgram=a),a}},{\"../../util/util\":442,assert:47,\"mapbox-gl-shaders\":303}],357:[function(t,e,r){\"use strict\";function n(){this.boundProgram=null,this.boundVertexBuffer=null,this.boundVertexBuffer2=null,this.boundElementBuffer=null,this.vao=null}var i=t(\"assert\");e.exports=n,n.prototype.bind=function(t,e,r,n,i){void 0===t.extVertexArrayObject&&(t.extVertexArrayObject=t.getExtension(\"OES_vertex_array_object\"));var a=!this.vao||this.boundProgram!==e||this.boundVertexBuffer!==r||this.boundVertexBuffer2!==i||this.boundElementBuffer!==n;!t.extVertexArrayObject||a?this.freshBind(t,e,r,n,i):t.extVertexArrayObject.bindVertexArrayOES(this.vao)},n.prototype.freshBind=function(t,e,r,n,a){var o,s=e.numAttributes;if(t.extVertexArrayObject)this.vao&&this.destroy(t),this.vao=t.extVertexArrayObject.createVertexArrayOES(),t.extVertexArrayObject.bindVertexArrayOES(this.vao),o=0,this.boundProgram=e,this.boundVertexBuffer=r,this.boundVertexBuffer2=a,this.boundElementBuffer=n;else{o=t.currentNumAttributes||0;for(var l=s;l<o;l++)i(0!==l),t.disableVertexAttribArray(l)}for(var u=o;u<s;u++)t.enableVertexAttribArray(u);r.bind(t),r.setVertexAttribPointers(t,e),a&&(a.bind(t),a.setVertexAttribPointers(t,e)),n&&n.bind(t),t.currentNumAttributes=s},n.prototype.unbind=function(t){var e=t.extVertexArrayObject;e&&e.bindVertexArrayOES(null)},n.prototype.destroy=function(t){var e=t.extVertexArrayObject;e&&this.vao&&(e.deleteVertexArrayOES(this.vao),this.vao=null)}},{assert:47}],358:[function(t,e,r){\"use strict\";function n(t,e,r){e=e||{},this.id=t,this.dispatcher=r,this._data=e.data,void 0!==e.maxzoom&&(this.maxzoom=e.maxzoom),e.type&&(this.type=e.type);var n=s/this.tileSize;this.workerOptions=a.extend({source:this.id,cluster:e.cluster||!1,geojsonVtOptions:{buffer:(void 0!==e.buffer?e.buffer:128)*n,tolerance:(void 0!==e.tolerance?e.tolerance:.375)*n,extent:s,maxZoom:this.maxzoom},superclusterOptions:{maxZoom:Math.min(e.clusterMaxZoom,this.maxzoom-1)||this.maxzoom-1,extent:s,radius:(e.clusterRadius||50)*n,log:!1}},e.workerOptions),this._updateWorkerData(function(t){if(t)return void this.fire(\"error\",{error:t});this.fire(\"load\")}.bind(this))}var i=t(\"../util/evented\"),a=t(\"../util/util\"),o=t(\"resolve-url\"),s=t(\"../data/bucket\").EXTENT;e.exports=n,n.prototype=a.inherit(i,{type:\"geojson\",minzoom:0,maxzoom:18,tileSize:512,isTileClipped:!0,reparseOverscaled:!0,onAdd:function(t){this.map=t},setData:function(t){return this._data=t,this._updateWorkerData(function(t){if(t)return this.fire(\"error\",{error:t});this.fire(\"change\")}.bind(this)),this},_updateWorkerData:function(t){var e=a.extend({},this.workerOptions),r=this._data;\"string\"==typeof r?e.url=\"undefined\"!=typeof window?o(window.location.href,r):r:e.data=JSON.stringify(r),this.workerID=this.dispatcher.send(this.type+\".loadData\",e,function(e){this._loaded=!0,t(e)}.bind(this))},loadTile:function(t,e){var r=t.coord.z>this.maxzoom?Math.pow(2,t.coord.z-this.maxzoom):1,n={type:this.type,uid:t.uid,coord:t.coord,zoom:t.coord.z,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,overscaling:r,angle:this.map.transform.angle,pitch:this.map.transform.pitch,showCollisionBoxes:this.map.showCollisionBoxes};t.workerID=this.dispatcher.send(\"load tile\",n,function(r,n){if(t.unloadVectorData(this.map.painter),!t.aborted)return r?e(r):(t.loadVectorData(n,this.map.style),t.redoWhenDone&&(t.redoWhenDone=!1,t.redoPlacement(this)),e(null))}.bind(this),this.workerID)},abortTile:function(t){t.aborted=!0},unloadTile:function(t){t.unloadVectorData(this.map.painter),this.dispatcher.send(\"remove tile\",{uid:t.uid,source:this.id},function(){},t.workerID)},serialize:function(){return{type:this.type,data:this._data}}})},{\"../data/bucket\":329,\"../util/evented\":434,\"../util/util\":442,\"resolve-url\":501}],359:[function(t,e,r){\"use strict\";function n(t,e,r){r&&(this.loadGeoJSON=r),h.call(this,t,e)}var i=t(\"../util/util\"),a=t(\"../util/ajax\"),o=t(\"geojson-rewind\"),s=t(\"./geojson_wrapper\"),l=t(\"vt-pbf\"),u=t(\"supercluster\"),c=t(\"geojson-vt\"),h=t(\"./vector_tile_worker_source\");e.exports=n,n.prototype=i.inherit(h,{_geoJSONIndexes:{},loadVectorData:function(t,e){var r=t.source,n=t.coord;if(!this._geoJSONIndexes[r])return e(null,null);var i=this._geoJSONIndexes[r].getTile(Math.min(n.z,t.maxZoom),n.x,n.y);if(!i)return e(null,null);var a=new s(i.features);a.name=\"_geojsonTileLayer\";var o=l({layers:{_geojsonTileLayer:a}});0===o.byteOffset&&o.byteLength===o.buffer.byteLength||(o=new Uint8Array(o)),e(null,{tile:a,rawTileData:o.buffer})},loadData:function(t,e){var r=function(r,n){return r?e(r):\"object\"!=typeof n?e(new Error(\"Input data is not a valid GeoJSON object.\")):(o(n,!0),void this._indexData(n,t,function(r,n){if(r)return e(r);this._geoJSONIndexes[t.source]=n,e(null)}.bind(this)))}.bind(this);this.loadGeoJSON(t,r)},loadGeoJSON:function(t,e){if(t.url)a.getJSON(t.url,e);else{if(\"string\"!=typeof t.data)return e(new Error(\"Input data is not a valid GeoJSON object.\"));try{return e(null,JSON.parse(t.data))}catch(t){return e(new Error(\"Input data is not a valid GeoJSON object.\"))}}},_indexData:function(t,e,r){try{e.cluster?r(null,u(e.superclusterOptions).load(t.features)):r(null,c(t,e.geojsonVtOptions))}catch(t){return r(t)}}})},{\"../util/ajax\":425,\"../util/util\":442,\"./geojson_wrapper\":360,\"./vector_tile_worker_source\":371,\"geojson-rewind\":138,\"geojson-vt\":142,supercluster:529,\"vt-pbf\":556}],360:[function(t,e,r){\"use strict\";function n(t){this.features=t,this.length=t.length,this.extent=s}function i(t){if(this.type=t.type,1===t.type){this.rawGeometry=[];for(var e=0;e<t.geometry.length;e++)this.rawGeometry.push([t.geometry[e]])}else this.rawGeometry=t.geometry;this.properties=t.tags,this.extent=s}var a=t(\"point-geometry\"),o=t(\"vector-tile\").VectorTileFeature,s=t(\"../data/bucket\").EXTENT;e.exports=n,n.prototype.feature=function(t){return new i(this.features[t])},i.prototype.loadGeometry=function(){var t=this.rawGeometry;this.geometry=[];for(var e=0;e<t.length;e++){for(var r=t[e],n=[],i=0;i<r.length;i++)n.push(new a(r[i][0],r[i][1]));this.geometry.push(n)}return this.geometry},i.prototype.bbox=function(){this.geometry||this.loadGeometry();for(var t=this.geometry,e=1/0,r=-1/0,n=1/0,i=-1/0,a=0;a<t.length;a++)for(var o=t[a],s=0;s<o.length;s++){var l=o[s];e=Math.min(e,l.x),r=Math.max(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.y)}return[e,n,r,i]},i.prototype.toGeoJSON=o.prototype.toGeoJSON},{\"../data/bucket\":329,\"point-geometry\":484,\"vector-tile\":550}],361:[function(t,e,r){\"use strict\";function n(t,e,r){this.id=t,this.dispatcher=r,this.url=e.url,this.coordinates=e.coordinates,u.getImage(e.url,function(t,r){if(t)return this.fire(\"error\",{error:t});this.image=r,this.image.addEventListener(\"load\",function(){this.map._rerender()}.bind(this)),this._loaded=!0,this.fire(\"load\"),this.map&&this.setCoordinates(e.coordinates)}.bind(this))}var i=t(\"../util/util\"),a=t(\"./tile_coord\"),o=t(\"../geo/lng_lat\"),s=t(\"point-geometry\"),l=t(\"../util/evented\"),u=t(\"../util/ajax\"),c=t(\"../data/bucket\").EXTENT,h=t(\"../render/draw_raster\").RasterBoundsArray,f=t(\"../data/buffer\"),d=t(\"../render/vertex_array_object\");e.exports=n,n.prototype=i.inherit(l,{minzoom:0,maxzoom:22,tileSize:512,onAdd:function(t){this.map=t,this.image&&this.setCoordinates(this.coordinates)},setCoordinates:function(t){this.coordinates=t;var e=this.map,r=t.map(function(t){return e.transform.locationCoordinate(o.convert(t)).zoomTo(0)}),n=this.centerCoord=i.getCoordinatesCenter(r);return n.column=Math.round(n.column),n.row=Math.round(n.row),this.minzoom=this.maxzoom=n.zoom,this._coord=new a(n.zoom,n.column,n.row),this._tileCoords=r.map(function(t){var e=t.zoomTo(n.zoom);return new s(Math.round((e.column-n.column)*c),Math.round((e.row-n.row)*c))}),this.fire(\"change\"),this},_setTile:function(t){this._prepared=!1,this.tile=t;var e=new h;e.emplaceBack(this._tileCoords[0].x,this._tileCoords[0].y,0,0),e.emplaceBack(this._tileCoords[1].x,this._tileCoords[1].y,32767,0),e.emplaceBack(this._tileCoords[3].x,this._tileCoords[3].y,0,32767),e.emplaceBack(this._tileCoords[2].x,this._tileCoords[2].y,32767,32767),this.tile.buckets={},this.tile.boundsBuffer=new f(e.serialize(),h.serialize(),f.BufferType.VERTEX),this.tile.boundsVAO=new d,this.tile.state=\"loaded\"},prepare:function(){if(this._loaded&&this.image&&this.image.complete&&this.tile){var t=this.map.painter,e=t.gl;this._prepared?(e.bindTexture(e.TEXTURE_2D,this.tile.texture),e.texSubImage2D(e.TEXTURE_2D,0,0,0,e.RGBA,e.UNSIGNED_BYTE,this.image)):(this.tile.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.tile.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,this.image))}},loadTile:function(t,e){this._coord&&this._coord.toString()===t.coord.toString()?(this._setTile(t),e(null)):(t.state=\"errored\",e(null))},serialize:function(){return{type:\"image\",urls:this.url,coordinates:this.coordinates}}})},{\"../data/bucket\":329,\"../data/buffer\":334,\"../geo/lng_lat\":339,\"../render/draw_raster\":351,\"../render/vertex_array_object\":357,\"../util/ajax\":425,\"../util/evented\":434,\"../util/util\":442,\"./tile_coord\":369,\"point-geometry\":484}],362:[function(t,e,r){\"use strict\";var n=t(\"../util/util\"),i=t(\"../util/ajax\"),a=t(\"../util/browser\"),o=t(\"../util/mapbox\").normalizeSourceURL;e.exports=function(t,e){var r=function(t,r){if(t)return e(t);var i=n.pick(r,[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\"]);r.vector_layers&&(i.vectorLayers=r.vector_layers,i.vectorLayerIds=i.vectorLayers.map(function(t){return t.id})),e(null,i)};t.url?i.getJSON(o(t.url),r):a.frame(r.bind(null,null,t))}},{\"../util/ajax\":425,\"../util/browser\":426,\"../util/mapbox\":439,\"../util/util\":442}],363:[function(t,e,r){\"use strict\";var n=t(\"../data/bucket\");e.exports=function(t,e,r){return e*(n.EXTENT/(t.tileSize*Math.pow(2,r-t.coord.z)))}},{\"../data/bucket\":329}],364:[function(t,e,r){\"use strict\";function n(t,e){var r=t.coord,n=e.coord;return r.z-n.z||r.y-n.y||r.w-n.w||r.x-n.x}function i(t){for(var e=t[0]||{},r=1;r<t.length;r++){var n=t[r];for(var i in n){var a=n[i],o=e[i];if(void 0===o)o=e[i]=a;else for(var s=0;s<a.length;s++)o.push(a[s])}}return e}var a=t(\"./tile_coord\");r.rendered=function(t,e,r,a,o,s){var l=t.tilesIn(r);l.sort(n);for(var u=[],c=0;c<l.length;c++){var h=l[c];h.tile.featureIndex&&u.push(h.tile.featureIndex.query({queryGeometry:h.queryGeometry,scale:h.scale,tileSize:h.tile.tileSize,bearing:s,params:a},e))}return i(u)},r.source=function(t,e){for(var r=t.getRenderableIds().map(function(e){return t.getTileByID(e)}),n=[],i={},o=0;o<r.length;o++){var s=r[o],l=new a(Math.min(s.sourceMaxZoom,s.coord.z),s.coord.x,s.coord.y,0).id;i[l]||(i[l]=!0,s.querySourceFeatures(n,e))}return n}},{\"./tile_coord\":369}],365:[function(t,e,r){\"use strict\";function n(t,e,r){this.id=t,this.dispatcher=r,i.extend(this,i.pick(e,[\"url\",\"scheme\",\"tileSize\"])),s(e,function(t,e){if(t)return this.fire(\"error\",t);i.extend(this,e),this.fire(\"load\")}.bind(this))}var i=t(\"../util/util\"),a=t(\"../util/ajax\"),o=t(\"../util/evented\"),s=t(\"./load_tilejson\"),l=t(\"../util/mapbox\").normalizeTileURL;e.exports=n,n.prototype=i.inherit(o,{minzoom:0,maxzoom:22,roundZoom:!0,scheme:\"xyz\",tileSize:512,_loaded:!1,onAdd:function(t){this.map=t},serialize:function(){return{type:\"raster\",url:this.url,tileSize:this.tileSize}},loadTile:function(t,e){function r(r,n){if(delete t.request,!t.aborted){if(r)return e(r);var i=this.map.painter.gl;t.texture=this.map.painter.getTexture(n.width),t.texture?(i.bindTexture(i.TEXTURE_2D,t.texture),i.texSubImage2D(i.TEXTURE_2D,0,0,0,i.RGBA,i.UNSIGNED_BYTE,n)):(t.texture=i.createTexture(),i.bindTexture(i.TEXTURE_2D,t.texture),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MIN_FILTER,i.LINEAR_MIPMAP_NEAREST),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MAG_FILTER,i.LINEAR),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_S,i.CLAMP_TO_EDGE),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_T,i.CLAMP_TO_EDGE),i.pixelStorei(i.UNPACK_PREMULTIPLY_ALPHA_WEBGL,!0),i.texImage2D(i.TEXTURE_2D,0,i.RGBA,i.RGBA,i.UNSIGNED_BYTE,n),t.texture.size=n.width),i.generateMipmap(i.TEXTURE_2D),this.map.animationLoop.set(this.map.style.rasterFadeDuration),t.state=\"loaded\",e(null)}}var n=l(t.coord.url(this.tiles,null,this.scheme),this.url,this.tileSize);t.request=a.getImage(n,r.bind(this))},abortTile:function(t){t.request&&(t.request.abort(),delete t.request)},unloadTile:function(t){t.texture&&this.map.painter.saveTexture(t.texture)}})},{\"../util/ajax\":425,\"../util/evented\":434,\"../util/mapbox\":439,\"../util/util\":442,\"./load_tilejson\":362}],366:[function(t,e,r){\"use strict\";var n=t(\"../util/util\"),i={vector:t(\"../source/vector_tile_source\"),raster:t(\"../source/raster_tile_source\"),geojson:t(\"../source/geojson_source\"),video:t(\"../source/video_source\"),image:t(\"../source/image_source\")};r.create=function(t,e,r){if(e=new i[e.type](t,e,r),e.id!==t)throw new Error(\"Expected Source id to be \"+t+\" instead of \"+e.id);return n.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],e),e},r.getType=function(t){return i[t]},r.setType=function(t,e){i[t]=e}},{\"../source/geojson_source\":358,\"../source/image_source\":361,\"../source/raster_tile_source\":365,\"../source/vector_tile_source\":370,\"../source/video_source\":372,\"../util/util\":442}],367:[function(t,e,r){\"use strict\";function n(t,e,r){this.id=t,this.dispatcher=r;var n=this._source=o.create(t,e,r).on(\"load\",function(){this.map&&this._source.onAdd&&this._source.onAdd(this.map),this._sourceLoaded=!0,this.tileSize=n.tileSize,this.minzoom=n.minzoom,this.maxzoom=n.maxzoom,this.roundZoom=n.roundZoom,this.reparseOverscaled=n.reparseOverscaled,this.isTileClipped=n.isTileClipped,this.attribution=n.attribution,this.vectorLayerIds=n.vectorLayerIds,this.fire(\"load\")}.bind(this)).on(\"error\",function(t){this._sourceErrored=!0,this.fire(\"error\",t)}.bind(this)).on(\"change\",function(){this.reload(),this.transform&&this.update(this.transform,this.map&&this.map.style.rasterFadeDuration),this.fire(\"change\")}.bind(this));this._tiles={},this._cache=new c(0,this.unloadTile.bind(this)),this._isIdRenderable=this._isIdRenderable.bind(this)}function i(t,e,r){var n=r.zoomTo(Math.min(t.z,e));return{x:(n.column-(t.x+t.w*Math.pow(2,t.z)))*d,y:(n.row-t.y)*d}}function a(t,e){return t%32-e%32}var o=t(\"./source\"),s=t(\"./tile\"),l=t(\"../util/evented\"),u=t(\"./tile_coord\"),c=t(\"../util/lru_cache\"),h=t(\"../geo/coordinate\"),f=t(\"../util/util\"),d=t(\"../data/bucket\").EXTENT;e.exports=n,n.maxOverzooming=10,n.maxUnderzooming=3,n.prototype=f.inherit(l,{onAdd:function(t){this.map=t,this._source&&this._source.onAdd&&this._source.onAdd(t)},loaded:function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},getSource:function(){return this._source},loadTile:function(t,e){return this._source.loadTile(t,e)},unloadTile:function(t){if(this._source.unloadTile)return this._source.unloadTile(t)},abortTile:function(t){if(this._source.abortTile)return this._source.abortTile(t)},serialize:function(){return this._source.serialize()},prepare:function(){if(this._sourceLoaded&&this._source.prepare)return this._source.prepare()},getIds:function(){return Object.keys(this._tiles).map(Number).sort(a)},getRenderableIds:function(){return this.getIds().filter(this._isIdRenderable)},_isIdRenderable:function(t){return this._tiles[t].isRenderable()&&!this._coveredTiles[t]},reload:function(){this._cache.reset();for(var t in this._tiles){var e=this._tiles[t];\"loading\"!==e.state&&(e.state=\"reloading\"),this.loadTile(this._tiles[t],this._tileLoaded.bind(this,this._tiles[t]))}},_tileLoaded:function(t,e){if(e)return t.state=\"errored\",this.fire(\"tile.error\",{tile:t,error:e}),void this._source.fire(\"tile.error\",{tile:t,error:e});t.source=this,t.timeAdded=(new Date).getTime(),this.fire(\"tile.load\",{tile:t}),this._source.fire(\"tile.load\",{tile:t})},getTile:function(t){return this.getTileByID(t.id)},getTileByID:function(t){return this._tiles[t]},getZoom:function(t){return t.zoom+t.scaleZoom(t.tileSize/this.tileSize)},findLoadedChildren:function(t,e,r){var n=!1;for(var i in this._tiles){var a=this._tiles[i];if(!(r[i]||!a.isRenderable()||a.coord.z<=t.z||a.coord.z>e)){var o=Math.pow(2,Math.min(a.coord.z,this.maxzoom)-Math.min(t.z,this.maxzoom));if(Math.floor(a.coord.x/o)===t.x&&Math.floor(a.coord.y/o)===t.y)for(r[i]=!0,n=!0;a&&a.coord.z-1>t.z;){var s=a.coord.parent(this.maxzoom).id;a=this._tiles[s],a&&a.isRenderable()&&(delete r[i],r[s]=!0)}}}return n},findLoadedParent:function(t,e,r){for(var n=t.z-1;n>=e;n--){t=t.parent(this.maxzoom);var i=this._tiles[t.id];if(i&&i.isRenderable())return r[t.id]=!0,i;if(this._cache.has(t.id))return this.addTile(t),r[t.id]=!0,this._tiles[t.id]}},updateCacheSize:function(t){var e=Math.ceil(t.width/t.tileSize)+1,r=Math.ceil(t.height/t.tileSize)+1,n=e*r;this._cache.setMaxSize(Math.floor(5*n))},update:function(t,e){if(this._sourceLoaded){var r,i,a;this.updateCacheSize(t);var o=(this.roundZoom?Math.round:Math.floor)(this.getZoom(t)),s=Math.max(o-n.maxOverzooming,this.minzoom),l=Math.max(o+n.maxUnderzooming,this.minzoom),c={},h=(new Date).getTime();this._coveredTiles={};var d=this.used?t.coveringTiles(this._source):[];for(r=0;r<d.length;r++)i=d[r],a=this.addTile(i),c[i.id]=!0,a.isRenderable()||this.findLoadedChildren(i,l,c)||this.findLoadedParent(i,s,c);for(var p={},m=Object.keys(c),v=0;v<m.length;v++){var g=m[v];i=u.fromID(g),a=this._tiles[g],a&&a.timeAdded>h-(e||0)&&(this.findLoadedChildren(i,l,c)&&(c[g]=!0),this.findLoadedParent(i,s,p))}var y;for(y in p)c[y]||(this._coveredTiles[y]=!0);for(y in p)c[y]=!0;var b=f.keysDifference(this._tiles,c);for(r=0;r<b.length;r++)this.removeTile(+b[r]);this.transform=t}},addTile:function(t){var e=this._tiles[t.id];if(e)return e;var r=t.wrapped()\n",
       ";if(e=this._tiles[r.id],e||(e=this._cache.get(r.id))&&this._redoPlacement&&this._redoPlacement(e),!e){var n=t.z,i=n>this.maxzoom?Math.pow(2,n-this.maxzoom):1;e=new s(r,this.tileSize*i,this.maxzoom),this.loadTile(e,this._tileLoaded.bind(this,e))}return e.uses++,this._tiles[t.id]=e,this.fire(\"tile.add\",{tile:e}),this._source.fire(\"tile.add\",{tile:e}),e},removeTile:function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this.fire(\"tile.remove\",{tile:e}),this._source.fire(\"tile.remove\",{tile:e}),e.uses>0||(e.isRenderable()?this._cache.add(e.coord.wrapped().id,e):(e.aborted=!0,this.abortTile(e),this.unloadTile(e))))},clearTiles:function(){for(var t in this._tiles)this.removeTile(t);this._cache.reset()},tilesIn:function(t){for(var e={},r=this.getIds(),n=1/0,a=1/0,o=-1/0,s=-1/0,l=t[0].zoom,c=0;c<t.length;c++){var f=t[c];n=Math.min(n,f.column),a=Math.min(a,f.row),o=Math.max(o,f.column),s=Math.max(s,f.row)}for(var p=0;p<r.length;p++){var m=this._tiles[r[p]],v=u.fromID(r[p]),g=[i(v,m.sourceMaxZoom,new h(n,a,l)),i(v,m.sourceMaxZoom,new h(o,s,l))];if(g[0].x<d&&g[0].y<d&&g[1].x>=0&&g[1].y>=0){for(var y=[],b=0;b<t.length;b++)y.push(i(v,m.sourceMaxZoom,t[b]));var x=e[m.coord.id];void 0===x&&(x=e[m.coord.id]={tile:m,coord:v,queryGeometry:[],scale:Math.pow(2,this.transform.zoom-m.coord.z)}),x.queryGeometry.push(y)}}var _=[];for(var w in e)_.push(e[w]);return _},redoPlacement:function(){for(var t=this.getIds(),e=0;e<t.length;e++){this.getTileByID(t[e]).redoPlacement(this)}},getVisibleCoordinates:function(){return this.getRenderableIds().map(u.fromID)}})},{\"../data/bucket\":329,\"../geo/coordinate\":338,\"../util/evented\":434,\"../util/lru_cache\":438,\"../util/util\":442,\"./source\":366,\"./tile\":368,\"./tile_coord\":369}],368:[function(t,e,r){\"use strict\";function n(t,e,r){this.coord=t,this.uid=a.uniqueId(),this.uses=0,this.tileSize=e,this.sourceMaxZoom=r,this.buckets={},this.state=\"loading\"}function i(t,e){if(e){for(var r={},n=0;n<t.length;n++){var i=e.getLayer(t[n].layerId);if(i){var s=o.create(a.extend({layer:i,childLayers:t[n].childLayerIds.map(e.getLayer.bind(e)).filter(function(t){return t})},t[n]));r[s.id]=s}}return r}}var a=t(\"../util/util\"),o=t(\"../data/bucket\"),s=t(\"../data/feature_index\"),l=t(\"vector-tile\"),u=t(\"pbf\"),c=t(\"../util/vectortile_to_geojson\"),h=t(\"feature-filter\"),f=t(\"../symbol/collision_tile\"),d=t(\"../symbol/collision_box\"),p=t(\"../symbol/symbol_instances\"),m=t(\"../symbol/symbol_quads\");e.exports=n,n.prototype={loadVectorData:function(t,e){this.state=\"loaded\",t&&(this.collisionBoxArray=new d(t.collisionBoxArray),this.collisionTile=new f(t.collisionTile,this.collisionBoxArray),this.symbolInstancesArray=new p(t.symbolInstancesArray),this.symbolQuadsArray=new m(t.symbolQuadsArray),this.featureIndex=new s(t.featureIndex,t.rawTileData,this.collisionTile),this.rawTileData=t.rawTileData,this.buckets=i(t.buckets,e))},reloadSymbolData:function(t,e,r){if(\"unloaded\"!==this.state){this.collisionTile=new f(t.collisionTile,this.collisionBoxArray),this.featureIndex.setCollisionTile(this.collisionTile);for(var n in this.buckets){var o=this.buckets[n];\"symbol\"===o.type&&(o.destroy(e.gl),delete this.buckets[n])}a.extend(this.buckets,i(t.buckets,r))}},unloadVectorData:function(t){for(var e in this.buckets){this.buckets[e].destroy(t.gl)}this.collisionBoxArray=null,this.symbolQuadsArray=null,this.symbolInstancesArray=null,this.collisionTile=null,this.featureIndex=null,this.rawTileData=null,this.buckets=null,this.state=\"unloaded\"},redoPlacement:function(t){function e(e,r){this.reloadSymbolData(r,t.map.painter,t.map.style),t.fire(\"tile.load\",{tile:this}),this.state=\"loaded\",this.redoWhenDone&&(this.redoPlacement(t),this.redoWhenDone=!1)}if(\"loaded\"!==this.state||\"reloading\"===this.state)return void(this.redoWhenDone=!0);this.state=\"reloading\",t.dispatcher.send(\"redo placement\",{uid:this.uid,source:t.id,angle:t.map.transform.angle,pitch:t.map.transform.pitch,showCollisionBoxes:t.map.showCollisionBoxes},e.bind(this),this.workerID)},getBucket:function(t){return this.buckets&&this.buckets[t.ref||t.id]},querySourceFeatures:function(t,e){if(this.rawTileData){this.vtLayers||(this.vtLayers=new l.VectorTile(new u(new Uint8Array(this.rawTileData))).layers);var r=this.vtLayers._geojsonTileLayer||this.vtLayers[e.sourceLayer];if(r)for(var n=h(e.filter),i={z:this.coord.z,x:this.coord.x,y:this.coord.y},a=0;a<r.length;a++){var o=r.feature(a);if(n(o)){var s=new c(o,this.coord.z,this.coord.x,this.coord.y);s.tile=i,t.push(s)}}}},isRenderable:function(){return\"loaded\"===this.state||\"reloading\"===this.state}}},{\"../data/bucket\":329,\"../data/feature_index\":336,\"../symbol/collision_box\":394,\"../symbol/collision_tile\":396,\"../symbol/symbol_instances\":405,\"../symbol/symbol_quads\":406,\"../util/util\":442,\"../util/vectortile_to_geojson\":443,\"feature-filter\":132,pbf:478,\"vector-tile\":550}],369:[function(t,e,r){\"use strict\";function n(t,e,r,n){l(!isNaN(t)&&t>=0&&t%1==0),l(!isNaN(e)&&e>=0&&e%1==0),l(!isNaN(r)&&r>=0&&r%1==0),isNaN(n)&&(n=0),this.z=+t,this.x=+e,this.y=+r,this.w=+n,(n*=2)<0&&(n=-1*n-1);var i=1<<this.z;this.id=32*(i*i*n+i*this.y+this.x)+this.z,this.posMatrix=null}function i(t,e,r){for(var n,i=\"\",a=t;a>0;a--)n=1<<a-1,i+=(e&n?1:0)+(r&n?2:0);return i}function a(t,e){if(t.row>e.row){var r=t;t=e,e=r}return{x0:t.column,y0:t.row,x1:e.column,y1:e.row,dx:e.column-t.column,dy:e.row-t.row}}function o(t,e,r,n,i){var a=Math.max(r,Math.floor(e.y0)),o=Math.min(n,Math.ceil(e.y1));if(t.x0===e.x0&&t.y0===e.y0?t.x0+e.dy/t.dy*t.dx<e.x1:t.x1-e.dy/t.dy*t.dx<e.x0){var s=t;t=e,e=s}for(var l=t.dx/t.dy,u=e.dx/e.dy,c=t.dx>0,h=e.dx<0,f=a;f<o;f++){var d=l*Math.max(0,Math.min(t.dy,f+c-t.y0))+t.x0,p=u*Math.max(0,Math.min(e.dy,f+h-e.y0))+e.x0;i(Math.floor(p),Math.ceil(d),f)}}function s(t,e,r,n,i,s){var l,u=a(t,e),c=a(e,r),h=a(r,t);u.dy>c.dy&&(l=u,u=c,c=l),u.dy>h.dy&&(l=u,u=h,h=l),c.dy>h.dy&&(l=c,c=h,h=l),u.dy&&o(h,u,n,i,s),c.dy&&o(h,c,n,i,s)}var l=t(\"assert\"),u=t(\"whoots-js\"),c=t(\"../geo/coordinate\");e.exports=n,n.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y},n.prototype.toCoordinate=function(t){var e=Math.min(this.z,t),r=Math.pow(2,e),n=this.y,i=this.x+r*this.w;return new c(i,n,e)},n.fromID=function(t){var e=t%32,r=1<<e,i=(t-e)/32,a=i%r,o=(i-a)/r%r,s=Math.floor(i/(r*r));return s%2!=0&&(s=-1*s-1),s/=2,new n(e,a,o,s)},n.prototype.url=function(t,e,r){var n=u.getTileBBox(this.x,this.y,this.z),a=i(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",Math.min(this.z,e||this.z)).replace(\"{x}\",this.x).replace(\"{y}\",\"tms\"===r?Math.pow(2,this.z)-this.y-1:this.y).replace(\"{quadkey}\",a).replace(\"{bbox-epsg-3857}\",n)},n.prototype.parent=function(t){return 0===this.z?null:this.z>t?new n(this.z-1,this.x,this.y,this.w):new n(this.z-1,Math.floor(this.x/2),Math.floor(this.y/2),this.w)},n.prototype.wrapped=function(){return new n(this.z,this.x,this.y,0)},n.prototype.children=function(t){if(this.z>=t)return[new n(this.z+1,this.x,this.y,this.w)];var e=this.z+1,r=2*this.x,i=2*this.y;return[new n(e,r,i,this.w),new n(e,r+1,i,this.w),new n(e,r,i+1,this.w),new n(e,r+1,i+1,this.w)]},n.cover=function(t,e,r){function i(t,e,i){var s,l,u;if(i>=0&&i<=a)for(s=t;s<e;s++)l=(s%a+a)%a,u=new n(r,l,i,Math.floor(s/a)),o[u.id]=u}var a=1<<t,o={};return s(e[0],e[1],e[2],0,a,i),s(e[2],e[3],e[0],0,a,i),Object.keys(o).map(function(t){return o[t]})}},{\"../geo/coordinate\":338,assert:47,\"whoots-js\":566}],370:[function(t,e,r){\"use strict\";function n(t,e,r){if(this.id=t,this.dispatcher=r,a.extend(this,a.pick(e,[\"url\",\"scheme\",\"tileSize\"])),this._options=a.extend({type:\"vector\"},e),512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");o(e,function(t,e){if(t)return void this.fire(\"error\",t);a.extend(this,e),this.fire(\"load\")}.bind(this))}var i=t(\"../util/evented\"),a=t(\"../util/util\"),o=t(\"./load_tilejson\"),s=t(\"../util/mapbox\").normalizeTileURL;e.exports=n,n.prototype=a.inherit(i,{minzoom:0,maxzoom:22,scheme:\"xyz\",tileSize:512,reparseOverscaled:!0,isTileClipped:!0,onAdd:function(t){this.map=t},serialize:function(){return a.extend({},this._options)},loadTile:function(t,e){function r(r,n){if(!t.aborted){if(r)return e(r);t.loadVectorData(n,this.map.style),t.redoWhenDone&&(t.redoWhenDone=!1,t.redoPlacement(this)),e(null),t.reloadCallback&&(this.loadTile(t,t.reloadCallback),t.reloadCallback=null)}}var n=t.coord.z>this.maxzoom?Math.pow(2,t.coord.z-this.maxzoom):1,i={url:s(t.coord.url(this.tiles,this.maxzoom,this.scheme),this.url),uid:t.uid,coord:t.coord,zoom:t.coord.z,tileSize:this.tileSize*n,source:this.id,overscaling:n,angle:this.map.transform.angle,pitch:this.map.transform.pitch,showCollisionBoxes:this.map.showCollisionBoxes};t.workerID?\"loading\"===t.state?t.reloadCallback=e:(i.rawTileData=t.rawTileData,this.dispatcher.send(\"reload tile\",i,r.bind(this),t.workerID)):t.workerID=this.dispatcher.send(\"load tile\",i,r.bind(this))},abortTile:function(t){this.dispatcher.send(\"abort tile\",{uid:t.uid,source:this.id},null,t.workerID)},unloadTile:function(t){t.unloadVectorData(this.map.painter),this.dispatcher.send(\"remove tile\",{uid:t.uid,source:this.id},null,t.workerID)}})},{\"../util/evented\":434,\"../util/mapbox\":439,\"../util/util\":442,\"./load_tilejson\":362}],371:[function(t,e,r){\"use strict\";function n(t,e,r){this.actor=t,this.styleLayers=e,r&&(this.loadVectorData=r),this.loading={},this.loaded={}}var i=t(\"../util/ajax\"),a=t(\"vector-tile\"),o=t(\"pbf\"),s=t(\"./worker_tile\");e.exports=n,n.prototype={loadTile:function(t,e){function r(t,r){return delete this.loading[n][i],t?e(t):r?(a.data=r.tile,a.parse(a.data,this.styleLayers.getLayerFamilies(),this.actor,r.rawTileData,e),this.loaded[n]=this.loaded[n]||{},void(this.loaded[n][i]=a)):e(null,null)}var n=t.source,i=t.uid;this.loading[n]||(this.loading[n]={});var a=this.loading[n][i]=new s(t);a.abort=this.loadVectorData(t,r.bind(this))},reloadTile:function(t,e){var r=this.loaded[t.source],n=t.uid;if(r&&r[n]){var i=r[n];i.parse(i.data,this.styleLayers.getLayerFamilies(),this.actor,t.rawTileData,e)}},abortTile:function(t){var e=this.loading[t.source],r=t.uid;e&&e[r]&&e[r].abort&&(e[r].abort(),delete e[r])},removeTile:function(t){var e=this.loaded[t.source],r=t.uid;e&&e[r]&&delete e[r]},loadVectorData:function(t,e){function r(t,r){if(t)return e(t);var n=new a.VectorTile(new o(new Uint8Array(r)));e(t,{tile:n,rawTileData:r})}var n=i.getArrayBuffer(t.url,r.bind(this));return function(){n.abort()}},redoPlacement:function(t,e){var r=this.loaded[t.source],n=this.loading[t.source],i=t.uid;if(r&&r[i]){var a=r[i],o=a.redoPlacement(t.angle,t.pitch,t.showCollisionBoxes);o.result&&e(null,o.result,o.transferables)}else n&&n[i]&&(n[i].angle=t.angle)}}},{\"../util/ajax\":425,\"./worker_tile\":374,pbf:478,\"vector-tile\":550}],372:[function(t,e,r){\"use strict\";function n(t,e){this.id=t,this.urls=e.urls,this.coordinates=e.coordinates,u.getVideo(e.urls,function(t,r){if(t)return this.fire(\"error\",{error:t});this.video=r,this.video.loop=!0;var n;this.video.addEventListener(\"playing\",function(){n=this.map.style.animationLoop.set(1/0),this.map._rerender()}.bind(this)),this.video.addEventListener(\"pause\",function(){this.map.style.animationLoop.cancel(n)}.bind(this)),this.map&&(this.video.play(),this.setCoordinates(e.coordinates)),this.fire(\"load\")}.bind(this))}var i=t(\"../util/util\"),a=t(\"./tile_coord\"),o=t(\"../geo/lng_lat\"),s=t(\"point-geometry\"),l=t(\"../util/evented\"),u=t(\"../util/ajax\"),c=t(\"../data/bucket\").EXTENT,h=t(\"../render/draw_raster\").RasterBoundsArray,f=t(\"../data/buffer\"),d=t(\"../render/vertex_array_object\");e.exports=n,n.prototype=i.inherit(l,{minzoom:0,maxzoom:22,tileSize:512,roundZoom:!0,getVideo:function(){return this.video},onAdd:function(t){this.map||(this.map=t,this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},setCoordinates:function(t){this.coordinates=t;var e=this.map,r=t.map(function(t){return e.transform.locationCoordinate(o.convert(t)).zoomTo(0)}),n=this.centerCoord=i.getCoordinatesCenter(r);return n.column=Math.round(n.column),n.row=Math.round(n.row),this.minzoom=this.maxzoom=n.zoom,this._coord=new a(n.zoom,n.column,n.row),this._tileCoords=r.map(function(t){var e=t.zoomTo(n.zoom);return new s(Math.round((e.column-n.column)*c),Math.round((e.row-n.row)*c))}),this.fire(\"change\"),this},_setTile:function(t){this._prepared=!1,this.tile=t;var e=new h;e.emplaceBack(this._tileCoords[0].x,this._tileCoords[0].y,0,0),e.emplaceBack(this._tileCoords[1].x,this._tileCoords[1].y,32767,0),e.emplaceBack(this._tileCoords[3].x,this._tileCoords[3].y,0,32767),e.emplaceBack(this._tileCoords[2].x,this._tileCoords[2].y,32767,32767),this.tile.buckets={},this.tile.boundsBuffer=new f(e.serialize(),h.serialize(),f.BufferType.VERTEX),this.tile.boundsVAO=new d,this.tile.state=\"loaded\"},prepare:function(){if(!(this.video.readyState<2)&&this.tile){var t=this.map.painter.gl;this._prepared?(t.bindTexture(t.TEXTURE_2D,this.tile.texture),t.texSubImage2D(t.TEXTURE_2D,0,0,0,t.RGBA,t.UNSIGNED_BYTE,this.video)):(this._prepared=!0,this.tile.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.tile.texture),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),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.LINEAR),t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,this.video)),this._currentTime=this.video.currentTime}},loadTile:function(t,e){this._coord&&this._coord.toString()===t.coord.toString()?(this._setTile(t),e(null)):(t.state=\"errored\",e(null))},serialize:function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}}})},{\"../data/bucket\":329,\"../data/buffer\":334,\"../geo/lng_lat\":339,\"../render/draw_raster\":351,\"../render/vertex_array_object\":357,\"../util/ajax\":425,\"../util/evented\":434,\"../util/util\":442,\"./tile_coord\":369,\"point-geometry\":484}],373:[function(t,e,r){\"use strict\";function n(t){this.self=t,this.actor=new a(t,this);var e={getLayers:function(){return this.layers}.bind(this),getLayerFamilies:function(){return this.layerFamilies}.bind(this)};this.workerSources={vector:new l(this.actor,e),geojson:new u(this.actor,e)},this.self.registerWorkerSource=function(t,r){if(this.workerSources[t])throw new Error('Worker source with name \"'+t+'\" already registered.');this.workerSources[t]=new r(this.actor,e)}.bind(this)}function i(t){var e={};for(var r in t){var n=t[r],i=n.ref||n.id,a=t[i];a.layout&&\"none\"===a.layout.visibility||(e[i]=e[i]||[],r===i?e[i].unshift(n):e[i].push(n))}return e}var a=t(\"../util/actor\"),o=t(\"../style/style_layer\"),s=t(\"../util/util\"),l=t(\"./vector_tile_worker_source\"),u=t(\"./geojson_worker_source\");e.exports=function(t){return new n(t)},s.extend(n.prototype,{\"set layers\":function(t){function e(t){var e=o.create(t,t.ref&&r.layers[t.ref]);e.updatePaintTransitions({},{transition:!1}),r.layers[e.id]=e}this.layers={};for(var r=this,n=[],a=0;a<t.length;a++){var s=t[a];\"fill\"!==s.type&&\"line\"!==s.type&&\"circle\"!==s.type&&\"symbol\"!==s.type||(s.ref?n.push(a):e(s))}for(var l=0;l<n.length;l++)e(t[n[l]]);this.layerFamilies=i(this.layers)},\"update layers\":function(t){function e(t){var e=a.layers[t.ref];a.layers[t.id]?a.layers[t.id].set(t,e):a.layers[t.id]=o.create(t,e),a.layers[t.id].updatePaintTransitions({},{transition:!1})}var r,n,a=this;for(r in t)n=t[r],n.ref&&e(n);for(r in t)n=t[r],n.ref||e(n);this.layerFamilies=i(this.layers)},\"load tile\":function(t,e){var r=t.type||\"vector\";this.workerSources[r].loadTile(t,e)},\"reload tile\":function(t,e){var r=t.type||\"vector\";this.workerSources[r].reloadTile(t,e)},\"abort tile\":function(t){var e=t.type||\"vector\";this.workerSources[e].abortTile(t)},\"remove tile\":function(t){var e=t.type||\"vector\";this.workerSources[e].removeTile(t)},\"redo placement\":function(t,e){var r=t.type||\"vector\";this.workerSources[r].redoPlacement(t,e)},\"load worker source\":function(t,e){try{this.self.importScripts(t.url),e()}catch(t){e(t)}}})},{\"../style/style_layer\":381,\"../util/actor\":424,\"../util/util\":442,\"./geojson_worker_source\":359,\"./vector_tile_worker_source\":371}],374:[function(t,e,r){\"use strict\";function n(t){this.coord=t.coord,this.uid=t.uid,this.zoom=t.zoom,this.tileSize=t.tileSize,this.source=t.source,this.overscaling=t.overscaling,this.angle=t.angle,this.pitch=t.pitch,this.showCollisionBoxes=t.showCollisionBoxes}function i(t){return!t.isEmpty()}function a(t){return t.serialize()}function o(t){var e=[];for(var r in t)t[r].getTransferables(e);return e}function s(t){return t.id}var l=t(\"../data/feature_index\"),u=t(\"../symbol/collision_tile\"),c=t(\"../data/bucket\"),h=t(\"../symbol/collision_box\"),f=t(\"../util/dictionary_coder\"),d=t(\"../util/util\"),p=t(\"../symbol/symbol_instances\"),m=t(\"../symbol/symbol_quads\");e.exports=n,n.prototype.parse=function(t,e,r,n,v){function g(t,e){for(var r=0;r<t.length;r++){var n=t.feature(r);n.index=r;for(var i in e)e[i].filter(n)&&e[i].features.push(n)}}function y(t){if(t)return v(t);if(2===++N){for(var e=P.length-1;e>=0;e--)b(E,P[e]);x()}}function b(t,e){if(e.populateArrays(A,j,F),\"symbol\"!==e.type)for(var r=0;r<e.features.length;r++){var n=e.features[r];T.insert(n,n.index,e.sourceLayerIndex,e.index)}e.features=null}function x(){E.status=\"done\",E.redoPlacementAfterDone&&(E.redoPlacement(E.angle,E.pitch,null),E.redoPlacementAfterDone=!1);var t=T.serialize(),e=A.serialize(),r=E.collisionBoxArray.serialize(),s=E.symbolInstancesArray.serialize(),l=E.symbolQuadsArray.serialize(),u=[n].concat(t.transferables).concat(e.transferables),c=D.filter(i);v(null,{buckets:c.map(a),featureIndex:t.data,collisionTile:e.data,collisionBoxArray:r,symbolInstancesArray:s,symbolQuadsArray:l,rawTileData:n},o(c).concat(u))}this.status=\"parsing\",this.data=t,this.collisionBoxArray=new h,this.symbolInstancesArray=new p,this.symbolQuadsArray=new m;var _,w,M,k,A=new u(this.angle,this.pitch,this.collisionBoxArray),T=new l(this.coord,this.overscaling,A,t.layers),S=new f(t.layers?Object.keys(t.layers).sort():[\"_geojsonTileLayer\"]),E=this,L={},C={},I=0;for(var z in e)w=e[z][0],w.source===this.source&&(w.ref||w.minzoom&&this.zoom<w.minzoom||w.maxzoom&&this.zoom>=w.maxzoom||w.layout&&\"none\"===w.layout.visibility||t.layers&&!t.layers[w.sourceLayer]||(k=c.create({layer:w,index:I++,childLayers:e[z],zoom:this.zoom,overscaling:this.overscaling,showCollisionBoxes:this.showCollisionBoxes,collisionBoxArray:this.collisionBoxArray,symbolQuadsArray:this.symbolQuadsArray,symbolInstancesArray:this.symbolInstancesArray,sourceLayerIndex:S.encode(w.sourceLayer||\"_geojsonTileLayer\")}),k.createFilter(),L[w.id]=k,t.layers&&(M=w.sourceLayer,C[M]=C[M]||{},C[M][w.id]=k)));if(t.layers)for(M in C)1===w.version&&d.warnOnce('Vector tile source \"'+this.source+'\" layer \"'+M+'\" does not use vector tile spec v2 and therefore may have some rendering errors.'),(w=t.layers[M])&&g(w,C[M]);else g(t,L);var D=[],P=this.symbolBuckets=[],O=[];T.bucketLayerIDs={};for(var R in L)k=L[R],0!==k.features.length&&(T.bucketLayerIDs[k.index]=k.childLayers.map(s),D.push(k),\"symbol\"===k.type?P.push(k):O.push(k));var F={},j={},N=0;if(P.length>0){for(_=P.length-1;_>=0;_--)P[_].updateIcons(F),P[_].updateFont(j);for(var B in j)j[B]=Object.keys(j[B]).map(Number);F=Object.keys(F),r.send(\"get glyphs\",{uid:this.uid,stacks:j},function(t,e){j=e,y(t)}),F.length?r.send(\"get icons\",{icons:F},function(t,e){F=e,y(t)}):y()}for(_=O.length-1;_>=0;_--)b(this,O[_]);if(0===P.length)return x()},n.prototype.redoPlacement=function(t,e,r){if(\"done\"!==this.status)return this.redoPlacementAfterDone=!0,this.angle=t,{};for(var n=new u(t,e,this.collisionBoxArray),s=this.symbolBuckets,l=s.length-1;l>=0;l--)s[l].placeFeatures(n,r);var c=n.serialize(),h=s.filter(i);return{result:{buckets:h.map(a),collisionTile:c.data},transferables:o(h).concat(c.transferables)}}},{\"../data/bucket\":329,\"../data/feature_index\":336,\"../symbol/collision_box\":394,\"../symbol/collision_tile\":396,\"../symbol/symbol_instances\":405,\"../symbol/symbol_quads\":406,\"../util/dictionary_coder\":432,\"../util/util\":442}],375:[function(t,e,r){\"use strict\";function n(){this.n=0,this.times=[]}e.exports=n,n.prototype.stopped=function(){return this.times=this.times.filter(function(t){return t.time>=(new Date).getTime()}),!this.times.length},n.prototype.set=function(t){return this.times.push({id:this.n,time:t+(new Date).getTime()}),this.n++},n.prototype.cancel=function(t){this.times=this.times.filter(function(e){return e.id!==t})}},{}],376:[function(t,e,r){\"use strict\";function n(t){this.base=t,this.retina=s.devicePixelRatio>1;var e=this.retina?\"@2x\":\"\";o.getJSON(l(t,e,\".json\"),function(t,e){if(t)return void this.fire(\"error\",{error:t});this.data=e,this.img&&this.fire(\"load\")}.bind(this)),o.getImage(l(t,e,\".png\"),function(t,e){if(t)return void this.fire(\"error\",{error:t});for(var r=e.getData(),n=e.data=new Uint8Array(r.length),i=0;i<r.length;i+=4){var a=r[i+3]/255;n[i+0]=r[i+0]*a,n[i+1]=r[i+1]*a,n[i+2]=r[i+2]*a,n[i+3]=r[i+3]}this.img=e,this.data&&this.fire(\"load\")}.bind(this))}function i(){}var a=t(\"../util/evented\"),o=t(\"../util/ajax\"),s=t(\"../util/browser\"),l=t(\"../util/mapbox\").normalizeSpriteURL;e.exports=n,n.prototype=Object.create(a),n.prototype.toJSON=function(){return this.base},n.prototype.loaded=function(){return!(!this.data||!this.img)},n.prototype.resize=function(){if(s.devicePixelRatio>1!==this.retina){var t=new n(this.base);t.on(\"load\",function(){this.img=t.img,this.data=t.data,this.retina=t.retina}.bind(this))}},i.prototype={x:0,y:0,width:0,height:0,pixelRatio:1,sdf:!1},n.prototype.getSpritePosition=function(t){if(!this.loaded())return new i;var e=this.data&&this.data[t];return e&&this.img?e:new i}},{\"../util/ajax\":425,\"../util/browser\":426,\"../util/evented\":434,\"../util/mapbox\":439}],377:[function(t,e,r){\"use strict\";var n=t(\"csscolorparser\").parseCSSColor,i=t(\"../util/util\"),a=t(\"./style_function\"),o={};e.exports=function t(e){if(a.isFunctionDefinition(e))return i.extend({},e,{stops:e.stops.map(function(e){return[e[0],t(e[1])]})});if(\"string\"==typeof e){if(!o[e]){var r=n(e);if(!r)throw new Error(\"Invalid color \"+e);o[e]=[r[0]/255*r[3],r[1]/255*r[3],r[2]/255*r[3],r[3]]}return o[e]}throw new Error(\"Invalid color \"+e)}},{\"../util/util\":442,\"./style_function\":380,csscolorparser:108}],378:[function(t,e,r){\"use strict\";function n(t,e,r){this.animationLoop=e||new m,this.dispatcher=new p(r||1,this),this.spriteAtlas=new l(1024,1024),this.lineAtlas=new u(256,512),this._layers={},this._order=[],this._groups=[],this.sources={},this.zoomHistory={},c.bindAll([\"_forwardSourceEvent\",\"_forwardTileEvent\",\"_forwardLayerEvent\",\"_redoPlacement\"],this),this._resetUpdates();var n=function(t,e){if(t)return void this.fire(\"error\",{error:t});if(!v.emitErrors(this,v(e))){this._loaded=!0,this.stylesheet=e,this.updateClasses();var r=e.sources;for(var n in r)this.addSource(n,r[n]);e.sprite&&(this.sprite=new o(e.sprite),this.sprite.on(\"load\",this.fire.bind(this,\"change\"))),this.glyphSource=new s(e.glyphs),this._resolve(),this.fire(\"load\")}}.bind(this);\"string\"==typeof t?h.getJSON(f(t),n):d.frame(n.bind(this,null,t)),this.on(\"source.load\",function(t){var e=t.source;if(e&&e.vectorLayerIds)for(var r in this._layers){var n=this._layers[r];n.source===e.id&&this._validateLayer(n)}})}var i=t(\"../util/evented\"),a=t(\"./style_layer\"),o=t(\"./image_sprite\"),s=t(\"../symbol/glyph_source\"),l=t(\"../symbol/sprite_atlas\"),u=t(\"../render/line_atlas\"),c=t(\"../util/util\"),h=t(\"../util/ajax\"),f=t(\"../util/mapbox\").normalizeStyleURL,d=t(\"../util/browser\"),p=t(\"../util/dispatcher\"),m=t(\"./animation_loop\"),v=t(\"./validate_style\"),g=t(\"../source/source\"),y=t(\"../source/query_features\"),b=t(\"../source/source_cache\"),x=t(\"./style_spec\"),_=t(\"./style_function\");e.exports=n,n.prototype=c.inherit(i,{_loaded:!1,_validateLayer:function(t){var e=this.sources[t.source];t.sourceLayer&&e&&e.vectorLayerIds&&-1===e.vectorLayerIds.indexOf(t.sourceLayer)&&this.fire(\"error\",{error:new Error('Source layer \"'+t.sourceLayer+'\" does not exist on source \"'+e.id+'\" as specified by style layer \"'+t.id+'\"')})},loaded:function(){if(!this._loaded)return!1;if(Object.keys(this._updates.sources).length)return!1;for(var t in this.sources)if(!this.sources[t].loaded())return!1;return!(this.sprite&&!this.sprite.loaded())},_resolve:function(){var t,e;this._layers={},this._order=this.stylesheet.layers.map(function(t){return t.id});for(var r=0;r<this.stylesheet.layers.length;r++)e=this.stylesheet.layers[r],e.ref||(t=a.create(e),this._layers[t.id]=t,t.on(\"error\",this._forwardLayerEvent));for(var n=0;n<this.stylesheet.layers.length;n++)if(e=this.stylesheet.layers[n],e.ref){var i=this.getLayer(e.ref);t=a.create(e,i),this._layers[t.id]=t,t.on(\"error\",this._forwardLayerEvent)}this._groupLayers(),this._updateWorkerLayers()},_groupLayers:function(){var t;this._groups=[];for(var e=0;e<this._order.length;++e){var r=this._layers[this._order[e]];t&&r.source===t.source||(t=[],t.source=r.source,this._groups.push(t)),t.push(r)}},_updateWorkerLayers:function(t){this.dispatcher.broadcast(t?\"update layers\":\"set layers\",this._serializeLayers(t))},_serializeLayers:function(t){t=t||this._order;for(var e=[],r={includeRefProperties:!0},n=0;n<t.length;n++)e.push(this._layers[t[n]].serialize(r));return e},_applyClasses:function(t,e){if(this._loaded){t=t||[],e=e||{transition:!0};var r=this.stylesheet.transition||{},n=this._updates.allPaintProps?this._layers:this._updates.paintProps;for(var i in n){var a=this._layers[i],o=this._updates.paintProps[i];if(this._updates.allPaintProps||o.all)a.updatePaintTransitions(t,e,r,this.animationLoop);else for(var s in o)this._layers[i].updatePaintTransition(s,t,e,r,this.animationLoop)}}},_recalculate:function(t){for(var e in this.sources)this.sources[e].used=!1;this._updateZoomHistory(t),this.rasterFadeDuration=300;for(var r in this._layers){var n=this._layers[r];n.recalculate(t,this.zoomHistory),!n.isHidden(t)&&n.source&&(this.sources[n.source].used=!0)}Math.floor(this.z)!==Math.floor(t)&&this.animationLoop.set(300),this.z=t,this.fire(\"zoom\")},_updateZoomHistory:function(t){var e=this.zoomHistory;void 0===e.lastIntegerZoom&&(e.lastIntegerZoom=Math.floor(t),e.lastIntegerZoomTime=0,e.lastZoom=t),Math.floor(e.lastZoom)<Math.floor(t)?(e.lastIntegerZoom=Math.floor(t),e.lastIntegerZoomTime=Date.now()):Math.floor(e.lastZoom)>Math.floor(t)&&(e.lastIntegerZoom=Math.floor(t+1),e.lastIntegerZoomTime=Date.now()),e.lastZoom=t},_checkLoaded:function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},update:function(t,e){if(!this._updates.changed)return this;if(this._updates.allLayers)this._groupLayers(),this._updateWorkerLayers();else{var r=Object.keys(this._updates.layers);r.length&&this._updateWorkerLayers(r)}var n,i=Object.keys(this._updates.sources);for(n=0;n<i.length;n++)this._reloadSource(i[n]);for(n=0;n<this._updates.events.length;n++){var a=this._updates.events[n];this.fire(a[0],a[1])}return this._applyClasses(t,e),this._updates.changed&&this.fire(\"change\"),this._resetUpdates(),this},_resetUpdates:function(){this._updates={events:[],layers:{},sources:{},paintProps:{}}},addSource:function(t,e){if(this._checkLoaded(),void 0!==this.sources[t])throw new Error(\"There is already a source with this ID\");if(!e.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(e)+\".\");return[\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(e.type)>=0&&this._handleErrors(v.source,\"sources.\"+t,e)?this:(e=new b(t,e,this.dispatcher),this.sources[t]=e,e.style=this,e.on(\"load\",this._forwardSourceEvent).on(\"error\",this._forwardSourceEvent).on(\"change\",this._forwardSourceEvent).on(\"tile.add\",this._forwardTileEvent).on(\"tile.load\",this._forwardTileEvent).on(\"tile.error\",this._forwardTileEvent).on(\"tile.remove\",this._forwardTileEvent).on(\"tile.stats\",this._forwardTileEvent),this._updates.events.push([\"source.add\",{source:e}]),this._updates.changed=!0,this)},removeSource:function(t){if(this._checkLoaded(),void 0===this.sources[t])throw new Error(\"There is no source with this ID\");var e=this.sources[t];return delete this.sources[t],delete this._updates.sources[t],e.off(\"load\",this._forwardSourceEvent).off(\"error\",this._forwardSourceEvent).off(\"change\",this._forwardSourceEvent).off(\"tile.add\",this._forwardTileEvent).off(\"tile.load\",this._forwardTileEvent).off(\"tile.error\",this._forwardTileEvent).off(\"tile.remove\",this._forwardTileEvent).off(\"tile.stats\",this._forwardTileEvent),this._updates.events.push([\"source.remove\",{source:e}]),this._updates.changed=!0,this},getSource:function(t){return this.sources[t]&&this.sources[t].getSource()},addLayer:function(t,e){if(this._checkLoaded(),!(t instanceof a)){if(this._handleErrors(v.layer,\"layers.\"+t.id,t,!1,{arrayIndex:-1}))return this;var r=t.ref&&this.getLayer(t.ref);t=a.create(t,r)}return this._validateLayer(t),t.on(\"error\",this._forwardLayerEvent),this._layers[t.id]=t,this._order.splice(e?this._order.indexOf(e):1/0,0,t.id),this._updates.allLayers=!0,t.source&&(this._updates.sources[t.source]=!0),this._updates.events.push([\"layer.add\",{layer:t}]),this.updateClasses(t.id)},removeLayer:function(t){this._checkLoaded();var e=this._layers[t];if(void 0===e)throw new Error(\"There is no layer with this ID\");for(var r in this._layers)this._layers[r].ref===t&&this.removeLayer(r);return e.off(\"error\",this._forwardLayerEvent),delete this._layers[t],delete this._updates.layers[t],delete this._updates.paintProps[t],this._order.splice(this._order.indexOf(t),1),this._updates.allLayers=!0,this._updates.events.push([\"layer.remove\",{layer:e}]),this._updates.changed=!0,this},getLayer:function(t){return this._layers[t]},getReferentLayer:function(t){var e=this.getLayer(t);return e.ref&&(e=this.getLayer(e.ref)),e},setLayerZoomRange:function(t,e,r){this._checkLoaded();var n=this.getReferentLayer(t);return n.minzoom===e&&n.maxzoom===r?this:(null!=e&&(n.minzoom=e),null!=r&&(n.maxzoom=r),this._updateLayer(n))},setFilter:function(t,e){this._checkLoaded();var r=this.getReferentLayer(t);return null!==e&&this._handleErrors(v.filter,\"layers.\"+r.id+\".filter\",e)?this:c.deepEqual(r.filter,e)?this:(r.filter=c.clone(e),this._updateLayer(r))},getFilter:function(t){return this.getReferentLayer(t).filter},setLayoutProperty:function(t,e,r){this._checkLoaded();var n=this.getReferentLayer(t);return c.deepEqual(n.getLayoutProperty(e),r)?this:(n.setLayoutProperty(e,r),this._updateLayer(n))},getLayoutProperty:function(t,e){return this.getReferentLayer(t).getLayoutProperty(e)},setPaintProperty:function(t,e,r,n){this._checkLoaded();var i=this.getLayer(t);if(c.deepEqual(i.getPaintProperty(e,n),r))return this;var a=i.isPaintValueFeatureConstant(e);return i.setPaintProperty(e,r,n),!(r&&_.isFunctionDefinition(r)&&\"$zoom\"!==r.property&&void 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this._updates.layers[t.id]=!0,t.source&&(this._updates.sources[t.source]=!0),this._updates.changed=!0,this},_flattenRenderedFeatures:function(t){for(var e=[],r=this._order.length-1;r>=0;r--)for(var n=this._order[r],i=0;i<t.length;i++){var a=t[i][n];if(a)for(var o=0;o<a.length;o++)e.push(a[o])}return e},queryRenderedFeatures:function(t,e,r,n){\n",
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r=\"color\"===t.type&&this.value?o(this.value):e;if(this.calculate=a[t.function||\"piecewise-constant\"](r),this.isFeatureConstant=this.calculate.isFeatureConstant,this.isZoomConstant=this.calculate.isZoomConstant,\"piecewise-constant\"===t.function&&t.transition&&(this.calculate=i(this.calculate)),!this.isFeatureConstant&&!this.isZoomConstant){this.stopZoomLevels=[];for(var n=[],l=this.value.stops,u=0;u<this.value.stops.length;u++){var c=l[u][0].zoom;this.stopZoomLevels.indexOf(c)<0&&(this.stopZoomLevels.push(c),n.push([c,n.length]))}this.calculateInterpolationT=a.interpolated({stops:n,base:e.base})}}function i(t){return function(e,r){var n,i,a,o=e.zoom,s=e.zoomHistory,l=e.duration,u=o%1,c=Math.min((Date.now()-s.lastIntegerZoomTime)/l,1),h=1;return o>s.lastIntegerZoom?(n=u+(1-u)*c,h*=2,i=t({zoom:o-1},r),a=t({zoom:o},r)):(n=1-(1-c)*u,a=t({zoom:o},r),i=t({zoom:o+1},r),h/=2),void 0===i||void 0===a?void 0:{from:i,fromScale:h,to:a,toScale:1,t:n}}}var a=t(\"./style_function\"),o=t(\"./parse_color\"),s=t(\"../util/util\");e.exports=n},{\"../util/util\":442,\"./parse_color\":377,\"./style_function\":380}],380:[function(t,e,r){\"use strict\";var n=t(\"mapbox-gl-function\");r.interpolated=function(t){var e=n.interpolated(t),r=function(t,r){return e(t&&t.zoom,r||{})};return r.isFeatureConstant=e.isFeatureConstant,r.isZoomConstant=e.isZoomConstant,r},r[\"piecewise-constant\"]=function(t){var e=n[\"piecewise-constant\"](t),r=function(t,r){return e(t&&t.zoom,r||{})};return r.isFeatureConstant=e.isFeatureConstant,r.isZoomConstant=e.isZoomConstant,r},r.isFunctionDefinition=n.isFunctionDefinition},{\"mapbox-gl-function\":302}],381:[function(t,e,r){\"use strict\";function n(t,e){this.set(t,e)}function i(t){return t.value}var a=t(\"../util/util\"),o=t(\"./style_transition\"),s=t(\"./style_declaration\"),l=t(\"./style_spec\"),u=t(\"./validate_style\"),c=t(\"./parse_color\"),h=t(\"../util/evented\");e.exports=n;n.create=function(e,r){return new({background:t(\"./style_layer/background_style_layer\"),circle:t(\"./style_layer/circle_style_layer\"),fill:t(\"./style_layer/fill_style_layer\"),line:t(\"./style_layer/line_style_layer\"),raster:t(\"./style_layer/raster_style_layer\"),symbol:t(\"./style_layer/symbol_style_layer\")}[(r||e).type])(e,r)},n.prototype=a.inherit(h,{set:function(t,e){this.id=t.id,this.ref=t.ref,this.metadata=t.metadata,this.type=(e||t).type,this.source=(e||t).source,this.sourceLayer=(e||t)[\"source-layer\"],this.minzoom=(e||t).minzoom,this.maxzoom=(e||t).maxzoom,this.filter=(e||t).filter,this.paint={},this.layout={},this._paintSpecifications=l[\"paint_\"+this.type],this._layoutSpecifications=l[\"layout_\"+this.type],this._paintTransitions={},this._paintTransitionOptions={},this._paintDeclarations={},this._layoutDeclarations={},this._layoutFunctions={};var r,n;for(var i in t){var a=i.match(/^paint(?:\\.(.*))?$/);if(a){var o=a[1]||\"\";for(r in t[i])this.setPaintProperty(r,t[i][r],o)}}if(this.ref)this._layoutDeclarations=e._layoutDeclarations;else for(n in t.layout)this.setLayoutProperty(n,t.layout[n]);for(r in this._paintSpecifications)this.paint[r]=this.getPaintValue(r);for(n in this._layoutSpecifications)this._updateLayoutValue(n)},setLayoutProperty:function(t,e){if(null==e)delete this._layoutDeclarations[t];else{var r=\"layers.\"+this.id+\".layout.\"+t;if(this._handleErrors(u.layoutProperty,r,t,e))return;this._layoutDeclarations[t]=new s(this._layoutSpecifications[t],e)}this._updateLayoutValue(t)},getLayoutProperty:function(t){return this._layoutDeclarations[t]&&this._layoutDeclarations[t].value},getLayoutValue:function(t,e,r){var n=this._layoutSpecifications[t],i=this._layoutDeclarations[t];return i?i.calculate(e,r):n.default},setPaintProperty:function(t,e,r){var n=\"layers.\"+this.id+(r?'[\"paint.'+r+'\"].':\".paint.\")+t;if(a.endsWith(t,\"-transition\"))if(this._paintTransitionOptions[r||\"\"]||(this._paintTransitionOptions[r||\"\"]={}),null===e||void 0===e)delete this._paintTransitionOptions[r||\"\"][t];else{if(this._handleErrors(u.paintProperty,n,t,e))return;this._paintTransitionOptions[r||\"\"][t]=e}else if(this._paintDeclarations[r||\"\"]||(this._paintDeclarations[r||\"\"]={}),null===e||void 0===e)delete this._paintDeclarations[r||\"\"][t];else{if(this._handleErrors(u.paintProperty,n,t,e))return;this._paintDeclarations[r||\"\"][t]=new s(this._paintSpecifications[t],e)}},getPaintProperty:function(t,e){return e=e||\"\",a.endsWith(t,\"-transition\")?this._paintTransitionOptions[e]&&this._paintTransitionOptions[e][t]:this._paintDeclarations[e]&&this._paintDeclarations[e][t]&&this._paintDeclarations[e][t].value},getPaintValue:function(t,e,r){var n=this._paintSpecifications[t],i=this._paintTransitions[t];return 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this._paintDeclarations){e[\"\"===r?\"paint\":\"paint.\"+r]=a.mapObject(this._paintDeclarations[r],i)}return(!this.ref||t&&t.includeRefProperties)&&a.extend(e,{type:this.type,source:this.source,\"source-layer\":this.sourceLayer,filter:this.filter,layout:a.mapObject(this._layoutDeclarations,i)}),a.filterObject(e,function(t,e){return void 0!==t&&!(\"layout\"===e&&!Object.keys(t).length)})},_applyPaintDeclaration:function(t,e,r,n,i){var l=r.transition?this._paintTransitions[t]:void 0,u=this._paintSpecifications[t];if(null!==e&&void 0!==e||(e=new s(u,u.default)),!l||l.declaration.json!==e.json){var c=a.extend({duration:300,delay:0},n,this.getPaintProperty(t+\"-transition\")),h=this._paintTransitions[t]=new o(u,e,l,c);h.instant()||(h.loopID=i.set(h.endTime-Date.now())),l&&i.cancel(l.loopID)}},_updateLayoutValue:function(t){var e=this._layoutDeclarations[t];e&&e.isFunction?this._layoutFunctions[t]=!0:(delete this._layoutFunctions[t],this.layout[t]=this.getLayoutValue(t))},_handleErrors:function(t,e,r,n){return u.emitErrors(this,t.call(u,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:l,style:{glyphs:!0,sprite:!0}}))}})},{\"../util/evented\":434,\"../util/util\":442,\"./parse_color\":377,\"./style_declaration\":379,\"./style_layer/background_style_layer\":382,\"./style_layer/circle_style_layer\":383,\"./style_layer/fill_style_layer\":384,\"./style_layer/line_style_layer\":385,\"./style_layer/raster_style_layer\":386,\"./style_layer/symbol_style_layer\":387,\"./style_spec\":388,\"./style_transition\":389,\"./validate_style\":390}],382:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{})},{\"../../util/util\":442,\"../style_layer\":381}],383:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{})},{\"../../util/util\":442,\"../style_layer\":381}],384:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");n.prototype=i.inherit(a,{getPaintValue:function(t,e,r){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.getPaintValue.call(this,\"fill-color\",e,r):a.prototype.getPaintValue.call(this,t,e,r)},getPaintValueStopZoomLevels:function(t){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.getPaintValueStopZoomLevels.call(this,\"fill-color\"):a.prototype.getPaintValueStopZoomLevels.call(this,arguments)},getPaintInterpolationT:function(t,e){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.getPaintInterpolationT.call(this,\"fill-color\",e):a.prototype.getPaintInterpolationT.call(this,t,e)},isPaintValueFeatureConstant:function(t){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.isPaintValueFeatureConstant.call(this,\"fill-color\"):a.prototype.isPaintValueFeatureConstant.call(this,t)},isPaintValueZoomConstant:function(t){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.isPaintValueZoomConstant.call(this,\"fill-color\"):a.prototype.isPaintValueZoomConstant.call(this,t)}}),e.exports=n},{\"../../util/util\":442,\"../style_layer\":381}],385:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{getPaintValue:function(t,e,r){var n=a.prototype.getPaintValue.apply(this,arguments);if(n&&\"line-dasharray\"===t){var i=Math.floor(e.zoom);this._flooredZoom!==i&&(this._flooredZoom=i,this._flooredLineWidth=this.getPaintValue(\"line-width\",e,r)),n.fromScale*=this._flooredLineWidth,n.toScale*=this._flooredLineWidth}return n}})},{\"../../util/util\":442,\"../style_layer\":381}],386:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{})},{\"../../util/util\":442,\"../style_layer\":381}],387:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{isHidden:function(){if(a.prototype.isHidden.apply(this,arguments))return!0;var t=0===this.paint[\"text-opacity\"]||!this.layout[\"text-field\"],e=0===this.paint[\"icon-opacity\"]||!this.layout[\"icon-image\"];return!(!t||!e)},getLayoutValue:function(t,e,r){return(\"text-rotation-alignment\"!==t||\"line\"!==this.getLayoutValue(\"symbol-placement\",e,r)||this.getLayoutProperty(\"text-rotation-alignment\"))&&(\"icon-rotation-alignment\"!==t||\"line\"!==this.getLayoutValue(\"symbol-placement\",e,r)||this.getLayoutProperty(\"icon-rotation-alignment\"))?\"text-pitch-alignment\"!==t||this.getLayoutProperty(\"text-pitch-alignment\")?a.prototype.getLayoutValue.apply(this,arguments):this.getLayoutValue(\"text-rotation-alignment\"):\"map\"}})},{\"../../util/util\":442,\"../style_layer\":381}],388:[function(t,e,r){\"use strict\";e.exports=t(\"mapbox-gl-style-spec/reference/latest.min\")},{\"mapbox-gl-style-spec/reference/latest.min\":325}],389:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.declaration=e,this.startTime=this.endTime=(new Date).getTime(),\"piecewise-constant\"===t.function&&t.transition?this.interp=i:this.interp=o[t.type],this.oldTransition=r,this.duration=n.duration||0,this.delay=n.delay||0,this.instant()||(this.endTime=this.startTime+this.duration+this.delay,this.ease=a.easeCubicInOut),r&&r.endTime<=this.startTime&&delete r.oldTransition}function i(t,e,r){return void 0===(t&&t.to)||void 0===(e&&e.to)?void 0:{from:t.to,fromScale:t.toScale,to:e.to,toScale:e.toScale,t:r}}var a=t(\"../util/util\"),o=t(\"../util/interpolate\");e.exports=n,n.prototype.instant=function(){return!this.oldTransition||!this.interp||0===this.duration&&0===this.delay},n.prototype.calculate=function(t,e){var r=this.declaration.calculate(a.extend({},t,{duration:this.duration}),e);if(this.instant())return r;var n=t.time||Date.now();if(n<this.endTime){var i=this.oldTransition.calculate(a.extend({},t,{time:this.startTime}),e),o=this.ease((n-this.startTime-this.delay)/this.duration);r=this.interp(i,r,o)}return r}},{\"../util/interpolate\":436,\"../util/util\":442}],390:[function(t,e,r){\"use strict\";e.exports=t(\"mapbox-gl-style-spec/lib/validate_style.min\"),e.exports.emitErrors=function(t,e){if(e&&e.length){for(var r=0;r<e.length;r++)t.fire(\"error\",{error:new Error(e[r].message)});return!0}return!1},e.exports.throwErrors=function(t,e){if(e)for(var r=0;r<e.length;r++)throw new Error(e[r].message)}},{\"mapbox-gl-style-spec/lib/validate_style.min\":324}],391:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.x=t,this.y=e,this.angle=r,void 0!==n&&(this.segment=n)}var i=t(\"point-geometry\");e.exports=n,n.prototype=Object.create(i.prototype),n.prototype.clone=function(){return new n(this.x,this.y,this.angle,this.segment)}},{\"point-geometry\":484}],392:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){if(void 0===e.segment)return!0;for(var a=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],u=0;s<r/2;){var c=t[o-1],h=t[o],f=t[o+1];if(!f)return!1;var d=c.angleTo(h)-h.angleTo(f);for(d=Math.abs((d+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:d}),u+=d;s-l[0].distance>n;)u-=l.shift().angleDelta;if(u>i)return!1;o++,s+=h.dist(f)}return!0}e.exports=n},{}],393:[function(t,e,r){\"use strict\";function n(t,e,r,n,a){for(var o=[],s=0;s<t.length;s++)for(var l,u=t[s],c=0;c<u.length-1;c++){var h=u[c],f=u[c+1];h.x<e&&f.x<e||(h.x<e?h=new i(e,h.y+(f.y-h.y)*((e-h.x)/(f.x-h.x)))._round():f.x<e&&(f=new i(e,h.y+(f.y-h.y)*((e-h.x)/(f.x-h.x)))._round()),h.y<r&&f.y<r||(h.y<r?h=new i(h.x+(f.x-h.x)*((r-h.y)/(f.y-h.y)),r)._round():f.y<r&&(f=new i(h.x+(f.x-h.x)*((r-h.y)/(f.y-h.y)),r)._round()),h.x>=n&&f.x>=n||(h.x>=n?h=new i(n,h.y+(f.y-h.y)*((n-h.x)/(f.x-h.x)))._round():f.x>=n&&(f=new i(n,h.y+(f.y-h.y)*((n-h.x)/(f.x-h.x)))._round()),h.y>=a&&f.y>=a||(h.y>=a?h=new i(h.x+(f.x-h.x)*((a-h.y)/(f.y-h.y)),a)._round():f.y>=a&&(f=new i(h.x+(f.x-h.x)*((a-h.y)/(f.y-h.y)),a)._round()),l&&h.equals(l[l.length-1])||(l=[h],o.push(l)),l.push(f)))))}return o}var i=t(\"point-geometry\");e.exports=n},{\"point-geometry\":484}],394:[function(t,e,r){\"use strict\";var n=t(\"../util/struct_array\"),i=t(\"../util/util\"),a=t(\"point-geometry\"),o=e.exports=new n({members:[{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Int16\",name:\"x1\"},{type:\"Int16\",name:\"y1\"},{type:\"Int16\",name:\"x2\"},{type:\"Int16\",name:\"y2\"},{type:\"Float32\",name:\"maxScale\"},{type:\"Uint32\",name:\"featureIndex\"},{type:\"Uint16\",name:\"sourceLayerIndex\"},{type:\"Uint16\",name:\"bucketIndex\"},{type:\"Int16\",name:\"bbox0\"},{type:\"Int16\",name:\"bbox1\"},{type:\"Int16\",name:\"bbox2\"},{type:\"Int16\",name:\"bbox3\"},{type:\"Float32\",name:\"placementScale\"}]});i.extendAll(o.prototype.StructType.prototype,{get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)}})},{\"../util/struct_array\":440,\"../util/util\":442,\"point-geometry\":484}],395:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l,u,c){var h=o.top*s-l,f=o.bottom*s+l,d=o.left*s-l,p=o.right*s+l;if(this.boxStartIndex=t.length,u){var m=f-h,v=p-d;if(m>0)if(m=Math.max(10*s,m),c){var g=e[r.segment+1].sub(e[r.segment])._unit()._mult(v),y=[r.sub(g),r.add(g)];this._addLineCollisionBoxes(t,y,r,0,v,m,n,i,a)}else this._addLineCollisionBoxes(t,e,r,r.segment,v,m,n,i,a)}else t.emplaceBack(r.x,r.y,d,h,p,f,1/0,n,i,a,0,0,0,0,0);this.boxEndIndex=t.length}e.exports=n,n.prototype._addLineCollisionBoxes=function(t,e,r,n,i,a,o,s,l){var u=a/2,c=Math.floor(i/u),h=-a/2,f=this.boxes,d=r,p=n+1,m=h;do{if(--p<0)return f;m-=e[p].dist(d),d=e[p]}while(m>-i/2);for(var v=e[p].dist(e[p+1]),g=0;g<c;g++){for(var y=-i/2+g*u;m+v<y;){if(m+=v,++p+1>=e.length)return f;v=e[p].dist(e[p+1])}var b=y-m,x=e[p],_=e[p+1],w=_.sub(x)._unit()._mult(b)._add(x)._round(),M=Math.max(Math.abs(y-h)-u/2,0),k=i/2/M;t.emplaceBack(w.x,w.y,-a/2,-a/2,a/2,a/2,k,o,s,l,0,0,0,0,0)}return f}},{}],396:[function(t,e,r){\"use strict\";function n(t,e,r){if(\"object\"==typeof t){var n=t;r=e,t=n.angle,e=n.pitch,this.grid=new o(n.grid),this.ignoredGrid=new o(n.ignoredGrid)}else this.grid=new o(a,12,6),this.ignoredGrid=new o(a,12,0);this.angle=t,this.pitch=e;var i=Math.sin(t),s=Math.cos(t);if(this.rotationMatrix=[s,-i,i,s],this.reverseRotationMatrix=[s,i,-i,s],this.yStretch=1/Math.cos(e/180*Math.PI),this.yStretch=Math.pow(this.yStretch,1.3),this.collisionBoxArray=r,0===r.length){r.emplaceBack();r.emplaceBack(0,0,0,-32767,0,32767,32767,0,0,0,0,0,0,0,0,0),r.emplaceBack(a,0,0,-32767,0,32767,32767,0,0,0,0,0,0,0,0,0),r.emplaceBack(0,0,-32767,0,32767,0,32767,0,0,0,0,0,0,0,0,0),r.emplaceBack(0,a,-32767,0,32767,0,32767,0,0,0,0,0,0,0,0,0)}this.tempCollisionBox=r.get(0),this.edges=[r.get(1),r.get(2),r.get(3),r.get(4)]}var i=t(\"point-geometry\"),a=t(\"../data/bucket\").EXTENT,o=t(\"grid-index\");e.exports=n,n.prototype.serialize=function(){var t={angle:this.angle,pitch:this.pitch,grid:this.grid.toArrayBuffer(),ignoredGrid:this.ignoredGrid.toArrayBuffer()};return{data:t,transferables:[t.grid,t.ignoredGrid]}},n.prototype.minScale=.25,n.prototype.maxScale=2,n.prototype.placeCollisionFeature=function(t,e,r){for(var n=this.collisionBoxArray,a=this.minScale,o=this.rotationMatrix,s=this.yStretch,l=t.boxStartIndex;l<t.boxEndIndex;l++){var u=n.get(l),c=u.anchorPoint._matMult(o),h=c.x,f=c.y,d=h+u.x1,p=f+u.y1*s,m=h+u.x2,v=f+u.y2*s;if(u.bbox0=d,u.bbox1=p,u.bbox2=m,u.bbox3=v,!e)for(var g=this.grid.query(d,p,m,v),y=0;y<g.length;y++){var b=n.get(g[y]),x=b.anchorPoint._matMult(o);if((a=this.getPlacementScale(a,c,u,x,b))>=this.maxScale)return a}if(r){var _;if(this.angle){var w=this.reverseRotationMatrix,M=new i(u.x1,u.y1).matMult(w),k=new i(u.x2,u.y1).matMult(w),A=new i(u.x1,u.y2).matMult(w),T=new i(u.x2,u.y2).matMult(w);_=this.tempCollisionBox,_.anchorPointX=u.anchorPoint.x,_.anchorPointY=u.anchorPoint.y,_.x1=Math.min(M.x,k.x,A.x,T.x),_.y1=Math.min(M.y,k.x,A.x,T.x),_.x2=Math.max(M.x,k.x,A.x,T.x),_.y2=Math.max(M.y,k.x,A.x,T.x),_.maxScale=u.maxScale}else _=u;for(var S=0;S<this.edges.length;S++){var E=this.edges[S];if((a=this.getPlacementScale(a,u.anchorPoint,_,E.anchorPoint,E))>=this.maxScale)return a}}}return a},n.prototype.queryRenderedSymbols=function(t,e,r,n,a){var o={},s=[],l=this.collisionBoxArray,u=this.rotationMatrix,c=new i(t,e)._matMult(u),h=this.tempCollisionBox;h.anchorX=c.x,h.anchorY=c.y,h.x1=0,h.y1=0,h.x2=r-t,h.y2=n-e,h.maxScale=a,a=h.maxScale;for(var f=[c.x+h.x1/a,c.y+h.y1/a*this.yStretch,c.x+h.x2/a,c.y+h.y2/a*this.yStretch],d=this.grid.query(f[0],f[1],f[2],f[3]),p=this.ignoredGrid.query(f[0],f[1],f[2],f[3]),m=0;m<p.length;m++)d.push(p[m]);for(var v=0;v<d.length;v++){var g=l.get(d[v]),y=g.sourceLayerIndex,b=g.featureIndex;if(void 0===o[y]&&(o[y]={}),!o[y][b]){var x=g.anchorPoint.matMult(u);this.getPlacementScale(this.minScale,c,h,x,g)>=a&&(o[y][b]=!0,s.push(d[v]))}}return s},n.prototype.getPlacementScale=function(t,e,r,n,i){var a=e.x-n.x,o=e.y-n.y,s=(i.x1-r.x2)/a,l=(i.x2-r.x1)/a,u=(i.y1-r.y2)*this.yStretch/o,c=(i.y2-r.y1)*this.yStretch/o;(isNaN(s)||isNaN(l))&&(s=l=1),(isNaN(u)||isNaN(c))&&(u=c=1);var h=Math.min(Math.max(s,l),Math.max(u,c)),f=i.maxScale,d=r.maxScale;return h>f&&(h=f),h>d&&(h=d),h>t&&h>=i.placementScale&&(t=h),t},n.prototype.insertCollisionFeature=function(t,e,r){for(var n=r?this.ignoredGrid:this.grid,i=this.collisionBoxArray,a=t.boxStartIndex;a<t.boxEndIndex;a++){var o=i.get(a);o.placementScale=e,e<this.maxScale&&n.insert(a,o.bbox0,o.bbox1,o.bbox2,o.bbox3)}}},{\"../data/bucket\":329,\"grid-index\":287,\"point-geometry\":484}],397:[function(t,e,r){\"use strict\";function n(t,e,r,n,a,o,s,l,u){var c=n?.6*o*s:0,h=Math.max(n?n.right-n.left:0,a?a.right-a.left:0),f=0===t[0].x||t[0].x===u||0===t[0].y||t[0].y===u;e-h*s<e/4&&(e=h*s+e/4);var d=2*o;return i(t,f?e/2*l%e:(h/2+d)*s*l%e,e,c,r,h*s,f,!1,u)}function i(t,e,r,n,l,u,c,h,f){for(var d=u/2,p=0,m=0;m<t.length-1;m++)p+=t[m].dist(t[m+1]);for(var v=0,g=e-r,y=[],b=0;b<t.length-1;b++){for(var x=t[b],_=t[b+1],w=x.dist(_),M=_.angleTo(x);g+r<v+w;){g+=r;var k=(g-v)/w,A=a(x.x,_.x,k),T=a(x.y,_.y,k);if(A>=0&&A<f&&T>=0&&T<f&&g-d>=0&&g+d<=p){var S=new o(A,T,M,b)._round();n&&!s(t,S,u,n,l)||y.push(S)}}v+=w}return h||y.length||c||(y=i(t,v/2,r,n,l,u,c,!0,f)),y}var a=t(\"../util/interpolate\"),o=t(\"../symbol/anchor\"),s=t(\"./check_max_angle\");e.exports=n},{\"../symbol/anchor\":391,\"../util/interpolate\":436,\"./check_max_angle\":392}],398:[function(t,e,r){\"use strict\";function n(){this.width=o,this.height=o,this.bin=new i(this.width,this.height),this.index={},this.ids={},this.data=new Uint8Array(this.width*this.height)}var i=t(\"shelf-pack\"),a=t(\"../util/util\"),o=128;e.exports=n,n.prototype.getGlyphs=function(){var t,e,r,n={};for(var i in this.ids)t=i.split(\"#\"),e=t[0],r=t[1],n[e]||(n[e]=[]),n[e].push(r);return n},n.prototype.getRects=function(){var t,e,r,n={};for(var i in this.ids)t=i.split(\"#\"),e=t[0],r=t[1],n[e]||(n[e]={}),n[e][r]=this.index[i];return n},n.prototype.addGlyph=function(t,e,r,n){if(!r)return null;var i=e+\"#\"+r.id;if(this.index[i])return this.ids[i].indexOf(t)<0&&this.ids[i].push(t),this.index[i];if(!r.bitmap)return null;var o=r.width+2*n,s=r.height+2*n,l=o+2,u=s+2;l+=4-l%4,u+=4-u%4;var c=this.bin.packOne(l,u);if(c||(this.resize(),c=this.bin.packOne(l,u)),!c)return a.warnOnce(\"glyph bitmap overflow\"),null;this.index[i]=c,this.ids[i]=[t];for(var h=this.data,f=r.bitmap,d=0;d<s;d++)for(var p=this.width*(c.y+d+1)+c.x+1,m=o*d,v=0;v<o;v++)h[p+v]=f[m+v];return this.dirty=!0,c},n.prototype.resize=function(){var t=this.width,e=this.height;if(!(t>=2048||e>=2048)){this.texture&&(this.gl&&this.gl.deleteTexture(this.texture),this.texture=null),this.width*=4,this.height*=4,this.bin.resize(this.width,this.height);for(var r=new ArrayBuffer(this.width*this.height),n=0;n<e;n++){var i=new Uint8Array(this.data.buffer,e*n,t);new Uint8Array(r,e*n*4,t).set(i)}this.data=new Uint8Array(r)}},n.prototype.bind=function(t){this.gl=t,this.texture?t.bindTexture(t.TEXTURE_2D,this.texture):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.LINEAR),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),t.texImage2D(t.TEXTURE_2D,0,t.ALPHA,this.width,this.height,0,t.ALPHA,t.UNSIGNED_BYTE,null))},n.prototype.updateTexture=function(t){this.bind(t),this.dirty&&(t.texSubImage2D(t.TEXTURE_2D,0,0,0,this.width,this.height,t.ALPHA,t.UNSIGNED_BYTE,this.data),this.dirty=!1)}},{\"../util/util\":442,\"shelf-pack\":514}],399:[function(t,e,r){\"use strict\";function n(t){this.url=t&&o(t),this.atlases={},this.stacks={},this.loading={}}function i(t,e,r){this.advance=t.advance,this.left=t.left-r-1,this.top=t.top+r+1,this.rect=e}function a(t,e,r,n){return n=n||\"abc\",r.replace(\"{s}\",n[t.length%n.length]).replace(\"{fontstack}\",t).replace(\"{range}\",e)}var o=t(\"../util/mapbox\").normalizeGlyphsURL,s=t(\"../util/ajax\").getArrayBuffer,l=t(\"../util/glyphs\"),u=t(\"../symbol/glyph_atlas\"),c=t(\"pbf\");e.exports=n,n.prototype.getSimpleGlyphs=function(t,e,r,n){void 0===this.stacks[t]&&(this.stacks[t]={}),void 0===this.atlases[t]&&(this.atlases[t]=new u);for(var a,o={},s=this.stacks[t],l=this.atlases[t],c={},h=0,f=0;f<e.length;f++){var d=e[f];if(a=Math.floor(d/256),s[a]){var p=s[a].glyphs[d],m=l.addGlyph(r,t,p,3);p&&(o[d]=new i(p,m,3))}else void 0===c[a]&&(c[a]=[],h++),c[a].push(d)}h||n(void 0,o,t);var v=function(e,a,s){if(!e)for(var u=this.stacks[t][a]=s.stacks[0],f=0;f<c[a].length;f++){var d=c[a][f],p=u.glyphs[d],m=l.addGlyph(r,t,p,3);p&&(o[d]=new i(p,m,3))}--h||n(void 0,o,t)}.bind(this);for(var g in c)this.loadRange(t,g,v)},n.prototype.loadRange=function(t,e,r){if(256*e>65535)return r(\"glyphs > 65535 not supported\");void 0===this.loading[t]&&(this.loading[t]={});var n=this.loading[t];if(n[e])n[e].push(r);else{n[e]=[r];var i=256*e+\"-\"+(256*e+255),o=a(t,i,this.url);s(o,function(t,r){for(var i=!t&&new l(new c(new Uint8Array(r))),a=0;a<n[e].length;a++)n[e][a](t,e,i);delete n[e]})}},n.prototype.getGlyphAtlas=function(t){return this.atlases[t]}},{\"../symbol/glyph_atlas\":398,\"../util/ajax\":425,\"../util/glyphs\":435,\"../util/mapbox\":439,pbf:478}],400:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){function n(n){c.push(t[n]),h.push(r[n]),f.push(e[n]),d++}function i(t,e,r){var n=u[t];return delete u[t],u[e]=n,h[n][0].pop(),h[n][0]=h[n][0].concat(r[0]),n}function a(t,e,r){var n=l[e];return delete l[e],l[t]=n,h[n][0].shift(),h[n][0]=r[0].concat(h[n][0]),n}function o(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}var s,l={},u={},c=[],h=[],f=[],d=0;for(s=0;s<t.length;s++){var p=r[s],m=e[s];if(m){var v=o(m,p),g=o(m,p,!0);if(v in u&&g in l&&u[v]!==l[g]){var y=a(v,g,p),b=i(v,g,h[y]);delete l[v],delete u[g],u[o(m,h[b],!0)]=b,h[y]=null}else v in u?i(v,g,p):g in l?a(v,g,p):(n(s),l[v]=d-1,u[g]=d-1)}else n(s)}return{features:c,textFeatures:f,geometries:h}}},{}],401:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l,u){this.anchorPoint=t,this.tl=e,this.tr=r,this.bl=n,this.br=i,this.tex=a,this.anchorAngle=o,this.glyphAngle=s,this.minScale=l,this.maxScale=u}function i(t,e,r,i,a,o,u,c,h){var f,d,p,m,v=e.image.rect,g=a.layout,y=e.left-1,b=y+v.w/e.image.pixelRatio,x=e.top-1,_=x+v.h/e.image.pixelRatio;if(\"none\"!==g[\"icon-text-fit\"]&&u){var w=b-y,M=_-x,k=g[\"text-size\"]/24,A=u.left*k,T=u.right*k,S=u.top*k,E=u.bottom*k,L=T-A,C=E-S,I=g[\"icon-text-fit-padding\"][0],z=g[\"icon-text-fit-padding\"][1],D=g[\"icon-text-fit-padding\"][2],P=g[\"icon-text-fit-padding\"][3],O=\"width\"===g[\"icon-text-fit\"]?.5*(C-M):0,R=\"height\"===g[\"icon-text-fit\"]?.5*(L-w):0,F=\"width\"===g[\"icon-text-fit\"]||\"both\"===g[\"icon-text-fit\"]?L:w,j=\"height\"===g[\"icon-text-fit\"]||\"both\"===g[\"icon-text-fit\"]?C:M;f=new s(A+R-P,S+O-I),d=new s(A+R+z+F,S+O-I),p=new s(A+R+z+F,S+O+D+j),m=new s(A+R-P,S+O+D+j)}else f=new s(y,x),d=new s(b,x),p=new s(b,_),m=new s(y,_);var N=a.getLayoutValue(\"icon-rotate\",c,h)*Math.PI/180;if(o){var B=i[t.segment];if(t.y===B.y&&t.x===B.x&&t.segment+1<i.length){var U=i[t.segment+1];N+=Math.atan2(t.y-U.y,t.x-U.x)+Math.PI}else N+=Math.atan2(t.y-B.y,t.x-B.x)}if(N){var V=Math.sin(N),H=Math.cos(N),q=[H,-V,V,H];f=f.matMult(q),d=d.matMult(q),m=m.matMult(q),p=p.matMult(q)}return[new n(new s(t.x,t.y),f,d,m,p,e.image.rect,0,0,l,1/0)]}function a(t,e,r,i,a,u){for(var c=a.layout[\"text-rotate\"]*Math.PI/180,h=a.layout[\"text-keep-upright\"],f=e.positionedGlyphs,d=[],p=0;p<f.length;p++){var m=f[p],v=m.glyph,g=v.rect;if(g){var y,b=(m.x+v.advance/2)*r,x=l;u?(y=[],x=o(y,t,b,i,t.segment,!0),h&&(x=Math.min(x,o(y,t,b,i,t.segment,!1)))):y=[{anchorPoint:new s(t.x,t.y),offset:0,angle:0,maxScale:1/0,minScale:l}];for(var _=m.x+v.left,w=m.y-v.top,M=_+g.w,k=w+g.h,A=new s(_,w),T=new s(M,w),S=new s(_,k),E=new s(M,k),L=0;L<y.length;L++){var C=y[L],I=A,z=T,D=S,P=E;if(c){var O=Math.sin(c),R=Math.cos(c),F=[R,-O,O,R];I=I.matMult(F),z=z.matMult(F),D=D.matMult(F),P=P.matMult(F)}var j=Math.max(C.minScale,x),N=(t.angle+C.offset+2*Math.PI)%(2*Math.PI),B=(C.angle+C.offset+2*Math.PI)%(2*Math.PI);d.push(new n(C.anchorPoint,I,z,D,P,g,N,B,j,C.maxScale))}}}return d}function o(t,e,r,n,i,a){var o=!a;r<0&&(a=!a),a&&i++;var u=new s(e.x,e.y),c=n[i],h=1/0;r=Math.abs(r);for(var f=l;;){var d=u.dist(c),p=r/d,m=Math.atan2(c.y-u.y,c.x-u.x);if(a||(m+=Math.PI),t.push({anchorPoint:u,offset:o?Math.PI:0,minScale:p,maxScale:h,angle:(m+2*Math.PI)%(2*Math.PI)}),p<=f)break;for(u=c;u.equals(c);)if(i+=a?1:-1,!(c=n[i]))return p;var v=c.sub(u)._unit();u=u.sub(v._mult(d)),h=p}return f}var s=t(\"point-geometry\");e.exports={getIconQuads:i,getGlyphQuads:a,SymbolQuad:n};var l=.5},{\"point-geometry\":484}],402:[function(t,e,r){\"use strict\";function n(t,e,r){for(var n=[],a=0,o=t.length;a<o;a++){var s=i(t[a].properties,e[\"text-field\"]);if(s){s=s.toString();var l=e[\"text-transform\"];\"uppercase\"===l?s=s.toLocaleUpperCase():\"lowercase\"===l&&(s=s.toLocaleLowerCase());for(var u=0;u<s.length;u++)r[s.charCodeAt(u)]=!0;n[a]=s}else n[a]=null}return n}var i=t(\"../util/token\");e.exports=n},{\"../util/token\":441}],403:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.codePoint=t,this.x=e,this.y=r,this.glyph=n}function i(t,e,r,n,i,a){this.positionedGlyphs=t,this.text=e,this.top=r,this.bottom=n,this.left=i,this.right=a}function a(t,e,r,a,s,l,u,c,h){for(var f=[],d=new i(f,t,h[1],h[1],h[0],h[0]),p=0,m=0;m<t.length;m++){var v=t.charCodeAt(m),g=e[v];g&&(f.push(new n(v,p,-17,g)),p+=g.advance+c)}return!!f.length&&(o(d,e,a,r,s,l,u,h),d)}function o(t,e,r,n,i,a,o,u){var c=null,d=0,p=0,m=0,v=0,g=t.positionedGlyphs;if(n)for(var y=0;y<g.length;y++){var b=g[y];if(b.x-=d,b.y+=r*m,b.x>n&&null!==c){var x=g[c+1].x;v=Math.max(x,v);for(var _=c+1;_<=y;_++)g[_].y+=r,g[_].x-=x;if(o){var w=c;h[g[c].codePoint]&&w--,s(g,e,p,w,o)}p=c+1,c=null,d+=x,m++}f[b.codePoint]&&(c=y)}var M=g[g.length-1],k=M.x+e[M.codePoint].advance;v=Math.max(v,k);var A=(m+1)*r;s(g,e,p,g.length-1,o),l(g,o,i,a,v,r,m,u),t.top+=-a*A,t.bottom=t.top+A,t.left+=-i*v,t.right=t.left+v}function s(t,e,r,n,i){for(var a=e[t[n].codePoint].advance,o=(t[n].x+a)*i,s=r;s<=n;s++)t[s].x-=o}\n",
       "function l(t,e,r,n,i,a,o,s){for(var l=(e-r)*i+s[0],u=(-n*(o+1)+.5)*a+s[1],c=0;c<t.length;c++)t[c].x+=l,t[c].y+=u}function u(t,e){if(!t||!t.rect)return null;var r=e[\"icon-offset\"][0],n=e[\"icon-offset\"][1],i=r-t.width/2,a=i+t.width,o=n-t.height/2;return new c(t,o,o+t.height,i,a)}function c(t,e,r,n,i){this.image=t,this.top=e,this.bottom=r,this.left=n,this.right=i}e.exports={shapeText:a,shapeIcon:u};var h={32:!0,8203:!0},f={32:!0,38:!0,43:!0,45:!0,47:!0,173:!0,183:!0,8203:!0,8208:!0,8211:!0}},{}],404:[function(t,e,r){\"use strict\";function n(t,e){this.width=t,this.height=e,this.bin=new o(t,e),this.images={},this.data=!1,this.texture=0,this.filter=0,this.pixelRatio=1,this.dirty=!0}function i(t,e,r,n,i,a,o,s,l,u,c){var h,f,d=n*e+r,p=s*a+o;if(c)for(p-=a,f=-1;f<=u;f++,d=((f+u)%u+n)*e+r,p+=a)for(h=-1;h<=l;h++)i[p+h]=t[d+(h+l)%l];else for(f=0;f<u;f++,d+=e,p+=a)for(h=0;h<l;h++)i[p+h]=t[d+h]}function a(t,e,r,n,i){this.rect=t,this.width=e,this.height=r,this.sdf=n,this.pixelRatio=i}var o=t(\"shelf-pack\"),s=t(\"../util/browser\"),l=t(\"../util/util\");e.exports=n,n.prototype.allocateImage=function(t,e){t/=this.pixelRatio,e/=this.pixelRatio;var r=t+2+(4-(t+2)%4),n=e+2+(4-(e+2)%4),i=this.bin.packOne(r,n);return i||(l.warnOnce(\"SpriteAtlas out of space.\"),null)},n.prototype.getImage=function(t,e){if(this.images[t])return this.images[t];if(!this.sprite)return null;var r=this.sprite.getSpritePosition(t);if(!r.width||!r.height)return null;var n=this.allocateImage(r.width,r.height);if(!n)return null;var i=new a(n,r.width/r.pixelRatio,r.height/r.pixelRatio,r.sdf,r.pixelRatio/this.pixelRatio);return this.images[t]=i,this.copy(n,r,e),i},n.prototype.getPosition=function(t,e){var r=this.getImage(t,e),n=r&&r.rect;if(!n)return null;var i=r.width*r.pixelRatio,a=r.height*r.pixelRatio;return{size:[r.width,r.height],tl:[(n.x+1)/this.width,(n.y+1)/this.height],br:[(n.x+1+i)/this.width,(n.y+1+a)/this.height]}},n.prototype.allocate=function(){if(!this.data){var t=Math.floor(this.width*this.pixelRatio),e=Math.floor(this.height*this.pixelRatio);this.data=new Uint32Array(t*e);for(var r=0;r<this.data.length;r++)this.data[r]=0}},n.prototype.copy=function(t,e,r){if(this.sprite.img.data){var n=new Uint32Array(this.sprite.img.data.buffer);this.allocate();var a=this.data;i(n,this.sprite.img.width,e.x,e.y,a,this.width*this.pixelRatio,(t.x+1)*this.pixelRatio,(t.y+1)*this.pixelRatio,e.width,e.height,r),this.dirty=!0}},n.prototype.setSprite=function(t){t&&(this.pixelRatio=s.devicePixelRatio>1?2:1,this.canvas&&(this.canvas.width=this.width*this.pixelRatio,this.canvas.height=this.height*this.pixelRatio)),this.sprite=t},n.prototype.addIcons=function(t,e){for(var r=0;r<t.length;r++)this.getImage(t[r]);e(null,this.images)},n.prototype.bind=function(t,e){var r=!1;this.texture?t.bindTexture(t.TEXTURE_2D,this.texture):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),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),r=!0);var n=e?t.LINEAR:t.NEAREST;n!==this.filter&&(t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,n),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,n),this.filter=n),this.dirty&&(this.allocate(),r?t.texImage2D(t.TEXTURE_2D,0,t.RGBA,this.width*this.pixelRatio,this.height*this.pixelRatio,0,t.RGBA,t.UNSIGNED_BYTE,new Uint8Array(this.data.buffer)):t.texSubImage2D(t.TEXTURE_2D,0,0,0,this.width*this.pixelRatio,this.height*this.pixelRatio,t.RGBA,t.UNSIGNED_BYTE,new Uint8Array(this.data.buffer)),this.dirty=!1)}},{\"../util/browser\":426,\"../util/util\":442,\"shelf-pack\":514}],405:[function(t,e,r){\"use strict\";var n=t(\"../util/struct_array\"),i=t(\"../util/util\"),a=t(\"point-geometry\"),o=e.exports=new n({members:[{type:\"Uint16\",name:\"textBoxStartIndex\"},{type:\"Uint16\",name:\"textBoxEndIndex\"},{type:\"Uint16\",name:\"iconBoxStartIndex\"},{type:\"Uint16\",name:\"iconBoxEndIndex\"},{type:\"Uint16\",name:\"glyphQuadStartIndex\"},{type:\"Uint16\",name:\"glyphQuadEndIndex\"},{type:\"Uint16\",name:\"iconQuadStartIndex\"},{type:\"Uint16\",name:\"iconQuadEndIndex\"},{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Int8\",name:\"index\"}]});i.extendAll(o.prototype.StructType.prototype,{get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)}})},{\"../util/struct_array\":440,\"../util/util\":442,\"point-geometry\":484}],406:[function(t,e,r){\"use strict\";var n=t(\"../util/struct_array\"),i=t(\"../util/util\"),a=t(\"point-geometry\"),o=t(\"./quads\").SymbolQuad,s=e.exports=new n({members:[{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Float32\",name:\"tlX\"},{type:\"Float32\",name:\"tlY\"},{type:\"Float32\",name:\"trX\"},{type:\"Float32\",name:\"trY\"},{type:\"Float32\",name:\"blX\"},{type:\"Float32\",name:\"blY\"},{type:\"Float32\",name:\"brX\"},{type:\"Float32\",name:\"brY\"},{type:\"Int16\",name:\"texH\"},{type:\"Int16\",name:\"texW\"},{type:\"Int16\",name:\"texX\"},{type:\"Int16\",name:\"texY\"},{type:\"Float32\",name:\"anchorAngle\"},{type:\"Float32\",name:\"glyphAngle\"},{type:\"Float32\",name:\"maxScale\"},{type:\"Float32\",name:\"minScale\"}]});i.extendAll(s.prototype.StructType.prototype,{get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)},get SymbolQuad(){return new o(this.anchorPoint,new a(this.tlX,this.tlY),new a(this.trX,this.trY),new a(this.blX,this.blY),new a(this.brX,this.brY),{x:this.texX,y:this.texY,h:this.texH,w:this.texW,height:this.texH,width:this.texW},this.anchorAngle,this.glyphAngle,this.minScale,this.maxScale)}})},{\"../util/struct_array\":440,\"../util/util\":442,\"./quads\":401,\"point-geometry\":484}],407:[function(t,e,r){\"use strict\";var n=t(\"../util/dom\"),i=t(\"point-geometry\"),a={scrollZoom:t(\"./handler/scroll_zoom\"),boxZoom:t(\"./handler/box_zoom\"),dragRotate:t(\"./handler/drag_rotate\"),dragPan:t(\"./handler/drag_pan\"),keyboard:t(\"./handler/keyboard\"),doubleClickZoom:t(\"./handler/dblclick_zoom\"),touchZoomRotate:t(\"./handler/touch_zoom_rotate\")};e.exports=function(t,e){function r(t){g(\"mouseout\",t)}function o(e){t.stop(),_=n.mousePos(b,e),g(\"mousedown\",e)}function s(e){var r=t.dragRotate&&t.dragRotate.isActive();x&&!r&&g(\"contextmenu\",x),x=null,g(\"mouseup\",e)}function l(e){if(!(t.dragPan&&t.dragPan.isActive()||t.dragRotate&&t.dragRotate.isActive())){for(var r=e.toElement||e.target;r&&r!==b;)r=r.parentNode;r===b&&g(\"mousemove\",e)}}function u(e){t.stop(),y(\"touchstart\",e),!e.touches||e.touches.length>1||(w?(clearTimeout(w),w=null,g(\"dblclick\",e)):w=setTimeout(d,300))}function c(t){y(\"touchmove\",t)}function h(t){y(\"touchend\",t)}function f(t){y(\"touchcancel\",t)}function d(){w=null}function p(t){n.mousePos(b,t).equals(_)&&g(\"click\",t)}function m(t){g(\"dblclick\",t),t.preventDefault()}function v(t){x=t,t.preventDefault()}function g(e,r){var i=n.mousePos(b,r);return t.fire(e,{lngLat:t.unproject(i),point:i,originalEvent:r})}function y(e,r){var a=n.touchPos(b,r),o=a.reduce(function(t,e,r,n){return t.add(e.div(n.length))},new i(0,0));return t.fire(e,{lngLat:t.unproject(o),point:o,lngLats:a.map(function(e){return t.unproject(e)},this),points:a,originalEvent:r})}var b=t.getCanvasContainer(),x=null,_=null,w=null;for(var M in a)t[M]=new a[M](t,e),e.interactive&&e[M]&&t[M].enable();b.addEventListener(\"mouseout\",r,!1),b.addEventListener(\"mousedown\",o,!1),b.addEventListener(\"mouseup\",s,!1),b.addEventListener(\"mousemove\",l,!1),b.addEventListener(\"touchstart\",u,!1),b.addEventListener(\"touchend\",h,!1),b.addEventListener(\"touchmove\",c,!1),b.addEventListener(\"touchcancel\",f,!1),b.addEventListener(\"click\",p,!1),b.addEventListener(\"dblclick\",m,!1),b.addEventListener(\"contextmenu\",v,!1)}},{\"../util/dom\":428,\"./handler/box_zoom\":413,\"./handler/dblclick_zoom\":414,\"./handler/drag_pan\":415,\"./handler/drag_rotate\":416,\"./handler/keyboard\":417,\"./handler/scroll_zoom\":418,\"./handler/touch_zoom_rotate\":419,\"point-geometry\":484}],408:[function(t,e,r){\"use strict\";var n=t(\"../util/util\"),i=t(\"../util/interpolate\"),a=t(\"../util/browser\"),o=t(\"../geo/lng_lat\"),s=t(\"../geo/lng_lat_bounds\"),l=t(\"point-geometry\"),u=e.exports=function(){};n.extend(u.prototype,{getCenter:function(){return this.transform.center},setCenter:function(t,e){return this.jumpTo({center:t},e),this},panBy:function(t,e,r){return this.panTo(this.transform.center,n.extend({offset:l.convert(t).mult(-1)},e),r),this},panTo:function(t,e,r){return this.easeTo(n.extend({center:t},e),r)},getZoom:function(){return this.transform.zoom},setZoom:function(t,e){return this.jumpTo({zoom:t},e),this},zoomTo:function(t,e,r){return this.easeTo(n.extend({zoom:t},e),r)},zoomIn:function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},zoomOut:function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},getBearing:function(){return this.transform.bearing},setBearing:function(t,e){return this.jumpTo({bearing:t},e),this},rotateTo:function(t,e,r){return this.easeTo(n.extend({bearing:t},e),r)},resetNorth:function(t,e){return this.rotateTo(0,n.extend({duration:1e3},t),e),this},snapToNorth:function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},getPitch:function(){return this.transform.pitch},setPitch:function(t,e){return this.jumpTo({pitch:t},e),this},fitBounds:function(t,e,r){e=n.extend({padding:0,offset:[0,0],maxZoom:1/0},e),t=s.convert(t);var i=l.convert(e.offset),a=this.transform,o=a.project(t.getNorthWest()),u=a.project(t.getSouthEast()),c=u.sub(o),h=(a.width-2*e.padding-2*Math.abs(i.x))/c.x,f=(a.height-2*e.padding-2*Math.abs(i.y))/c.y;return e.center=a.unproject(o.add(u).div(2)),e.zoom=Math.min(a.scaleZoom(a.scale*Math.min(h,f)),e.maxZoom),e.bearing=0,e.linear?this.easeTo(e,r):this.flyTo(e,r)},jumpTo:function(t,e){this.stop();var r=this.transform,n=!1,i=!1,a=!1;return\"zoom\"in t&&r.zoom!==+t.zoom&&(n=!0,r.zoom=+t.zoom),\"center\"in t&&(r.center=o.convert(t.center)),\"bearing\"in t&&r.bearing!==+t.bearing&&(i=!0,r.bearing=+t.bearing),\"pitch\"in t&&r.pitch!==+t.pitch&&(a=!0,r.pitch=+t.pitch),this.fire(\"movestart\",e).fire(\"move\",e),n&&this.fire(\"zoomstart\",e).fire(\"zoom\",e).fire(\"zoomend\",e),i&&this.fire(\"rotate\",e),a&&this.fire(\"pitch\",e),this.fire(\"moveend\",e)},easeTo:function(t,e){this.stop(),t=n.extend({offset:[0,0],duration:500,easing:n.ease},t);var r,a,s=this.transform,u=l.convert(t.offset),c=this.getZoom(),h=this.getBearing(),f=this.getPitch(),d=\"zoom\"in t?+t.zoom:c,p=\"bearing\"in t?this._normalizeBearing(t.bearing,h):h,m=\"pitch\"in t?+t.pitch:f;\"center\"in t?(r=o.convert(t.center),a=s.centerPoint.add(u)):\"around\"in t?(r=o.convert(t.around),a=s.locationPoint(r)):(a=s.centerPoint.add(u),r=s.pointLocation(a));var v=s.locationPoint(r);return!1===t.animate&&(t.duration=0),this.zooming=d!==c,this.rotating=h!==p,this.pitching=m!==f,t.noMoveStart||this.fire(\"movestart\",e),this.zooming&&this.fire(\"zoomstart\",e),clearTimeout(this._onEaseEnd),this._ease(function(t){this.zooming&&(s.zoom=i(c,d,t)),this.rotating&&(s.bearing=i(h,p,t)),this.pitching&&(s.pitch=i(f,m,t)),s.setLocationAtPoint(r,v.add(a.sub(v)._mult(t))),this.fire(\"move\",e),this.zooming&&this.fire(\"zoom\",e),this.rotating&&this.fire(\"rotate\",e),this.pitching&&this.fire(\"pitch\",e)},function(){t.delayEndEvents?this._onEaseEnd=setTimeout(this._easeToEnd.bind(this,e),t.delayEndEvents):this._easeToEnd(e)}.bind(this),t),this},_easeToEnd:function(t){var e=this.zooming;this.zooming=!1,this.rotating=!1,this.pitching=!1,e&&this.fire(\"zoomend\",t),this.fire(\"moveend\",t)},flyTo:function(t,e){function r(t){var e=(A*A-k*k+(t?-1:1)*L*L*T*T)/(2*(t?A:k)*L*T);return Math.log(Math.sqrt(e*e+1)-e)}function a(t){return(Math.exp(t)-Math.exp(-t))/2}function s(t){return(Math.exp(t)+Math.exp(-t))/2}function u(t){return a(t)/s(t)}this.stop(),t=n.extend({offset:[0,0],speed:1.2,curve:1.42,easing:n.ease},t);var c=this.transform,h=l.convert(t.offset),f=this.getZoom(),d=this.getBearing(),p=this.getPitch(),m=\"center\"in t?o.convert(t.center):this.getCenter(),v=\"zoom\"in t?+t.zoom:f,g=\"bearing\"in t?this._normalizeBearing(t.bearing,d):d,y=\"pitch\"in t?+t.pitch:p;Math.abs(c.center.lng)+Math.abs(m.lng)>180&&(c.center.lng>0&&m.lng<0?m.lng+=360:c.center.lng<0&&m.lng>0&&(m.lng-=360));var b=c.zoomScale(v-f),x=c.point,_=\"center\"in t?c.project(m).sub(h.div(b)):x,w=c.worldSize,M=t.curve,k=Math.max(c.width,c.height),A=k/b,T=_.sub(x).mag();if(\"minZoom\"in t){var S=n.clamp(Math.min(t.minZoom,f,v),c.minZoom,c.maxZoom),E=k/c.zoomScale(S-f);M=Math.sqrt(E/T*2)}var L=M*M,C=r(0),I=function(t){return s(C)/s(C+M*t)},z=function(t){return k*((s(C)*u(C+M*t)-a(C))/L)/T},D=(r(1)-C)/M;if(Math.abs(T)<1e-6){if(Math.abs(k-A)<1e-6)return this.easeTo(t);var P=A<k?-1:1;D=Math.abs(Math.log(A/k))/M,z=function(){return 0},I=function(t){return Math.exp(P*M*t)}}if(\"duration\"in t)t.duration=+t.duration;else{var O=\"screenSpeed\"in t?+t.screenSpeed/M:+t.speed;t.duration=1e3*D/O}return this.zooming=!0,d!==g&&(this.rotating=!0),p!==y&&(this.pitching=!0),this.fire(\"movestart\",e),this.fire(\"zoomstart\",e),this._ease(function(t){var r=t*D,n=z(r);c.zoom=f+c.scaleZoom(1/I(r)),c.center=c.unproject(x.add(_.sub(x).mult(n)),w),this.rotating&&(c.bearing=i(d,g,t)),this.pitching&&(c.pitch=i(p,y,t)),this.fire(\"move\",e),this.fire(\"zoom\",e),this.rotating&&this.fire(\"rotate\",e),this.pitching&&this.fire(\"pitch\",e)},function(){this.zooming=!1,this.rotating=!1,this.pitching=!1,this.fire(\"zoomend\",e),this.fire(\"moveend\",e)},t),this},isEasing:function(){return!!this._abortFn},stop:function(){return this._abortFn&&(this._abortFn(),this._finishEase()),this},_ease:function(t,e,r){this._finishFn=e,this._abortFn=a.timed(function(e){t.call(this,r.easing(e)),1===e&&this._finishEase()},!1===r.animate?0:r.duration,this)},_finishEase:function(){delete this._abortFn;var t=this._finishFn;delete this._finishFn,t.call(this)},_normalizeBearing:function(t,e){t=n.wrap(t,-180,180);var r=Math.abs(t-e);return Math.abs(t-360-e)<r&&(t-=360),Math.abs(t+360-e)<r&&(t+=360),t},_updateEasing:function(t,e,r){var i;if(this.ease){var a=this.ease,o=(Date.now()-a.start)/a.duration,s=a.easing(o+.01)-a.easing(o),l=.27/Math.sqrt(s*s+1e-4)*.01,u=Math.sqrt(.0729-l*l);i=n.bezier(l,u,.25,1)}else i=r?n.bezier.apply(n,r):n.ease;return this.ease={start:(new Date).getTime(),to:Math.pow(2,e),duration:t,easing:i},i}})},{\"../geo/lng_lat\":339,\"../geo/lng_lat_bounds\":340,\"../util/browser\":426,\"../util/interpolate\":436,\"../util/util\":442,\"point-geometry\":484}],409:[function(t,e,r){\"use strict\";function n(t){o.setOptions(this,t)}var i=t(\"./control\"),a=t(\"../../util/dom\"),o=t(\"../../util/util\");e.exports=n,n.createAttributionString=function(t){var e=[];for(var r in t){var n=t[r];n.attribution&&e.indexOf(n.attribution)<0&&e.push(n.attribution)}return e.sort(function(t,e){return t.length-e.length}),e=e.filter(function(t,r){for(var n=r+1;n<e.length;n++)if(e[n].indexOf(t)>=0)return!1;return!0}),e.join(\" | \")},n.prototype=o.inherit(i,{options:{position:\"bottom-right\"},onAdd:function(t){var e=this._container=a.create(\"div\",\"mapboxgl-ctrl-attrib\",t.getContainer());return this._update(),t.on(\"source.load\",this._update.bind(this)),t.on(\"source.change\",this._update.bind(this)),t.on(\"source.remove\",this._update.bind(this)),t.on(\"moveend\",this._updateEditLink.bind(this)),e},_update:function(){this._map.style&&(this._container.innerHTML=n.createAttributionString(this._map.style.sources)),this._editLink=this._container.getElementsByClassName(\"mapbox-improve-map\")[0],this._updateEditLink()},_updateEditLink:function(){if(this._editLink){var t=this._map.getCenter();this._editLink.href=\"https://www.mapbox.com/map-feedback/#/\"+t.lng+\"/\"+t.lat+\"/\"+Math.round(this._map.getZoom()+1)}}})},{\"../../util/dom\":428,\"../../util/util\":442,\"./control\":410}],410:[function(t,e,r){\"use strict\";function n(){}var i=t(\"../../util/util\"),a=t(\"../../util/evented\");e.exports=n,n.prototype={addTo:function(t){this._map=t;var e=this._container=this.onAdd(t);if(this.options&&this.options.position){var r=this.options.position,n=t._controlCorners[r];e.className+=\" mapboxgl-ctrl\",-1!==r.indexOf(\"bottom\")?n.insertBefore(e,n.firstChild):n.appendChild(e)}return this},remove:function(){return this._container.parentNode.removeChild(this._container),this.onRemove&&this.onRemove(this._map),this._map=null,this}},i.extend(n.prototype,a)},{\"../../util/evented\":434,\"../../util/util\":442}],411:[function(t,e,r){\"use strict\";function n(t){s.setOptions(this,t)}var i=t(\"./control\"),a=t(\"../../util/browser\"),o=t(\"../../util/dom\"),s=t(\"../../util/util\");e.exports=n;var l={enableHighAccuracy:!1,timeout:6e3};n.prototype=s.inherit(i,{options:{position:\"top-right\"},onAdd:function(t){var e=this._container=o.create(\"div\",\"mapboxgl-ctrl-group\",t.getContainer());return a.supportsGeolocation?(this._container.addEventListener(\"contextmenu\",this._onContextMenu.bind(this)),this._geolocateButton=o.create(\"button\",\"mapboxgl-ctrl-icon mapboxgl-ctrl-geolocate\",this._container),this._geolocateButton.type=\"button\",this._geolocateButton.addEventListener(\"click\",this._onClickGeolocate.bind(this)),e):e},_onContextMenu:function(t){t.preventDefault()},_onClickGeolocate:function(){navigator.geolocation.getCurrentPosition(this._success.bind(this),this._error.bind(this),l),this._timeoutId=setTimeout(this._finish.bind(this),1e4)},_success:function(t){this._map.jumpTo({center:[t.coords.longitude,t.coords.latitude],zoom:17,bearing:0,pitch:0}),this.fire(\"geolocate\",t),this._finish()},_error:function(t){this.fire(\"error\",t),this._finish()},_finish:function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0}})},{\"../../util/browser\":426,\"../../util/dom\":428,\"../../util/util\":442,\"./control\":410}],412:[function(t,e,r){\"use strict\";function n(t){s.setOptions(this,t)}function i(t){return new MouseEvent(t.type,{button:2,buttons:2,bubbles:!0,cancelable:!0,detail:t.detail,view:t.view,screenX:t.screenX,screenY:t.screenY,clientX:t.clientX,clientY:t.clientY,movementX:t.movementX,movementY:t.movementY,ctrlKey:t.ctrlKey,shiftKey:t.shiftKey,altKey:t.altKey,metaKey:t.metaKey})}var a=t(\"./control\"),o=t(\"../../util/dom\"),s=t(\"../../util/util\");e.exports=n,n.prototype=s.inherit(a,{options:{position:\"top-right\"},onAdd:function(t){var e=\"mapboxgl-ctrl\",r=this._container=o.create(\"div\",e+\"-group\",t.getContainer());return this._container.addEventListener(\"contextmenu\",this._onContextMenu.bind(this)),this._zoomInButton=this._createButton(e+\"-icon \"+e+\"-zoom-in\",t.zoomIn.bind(t)),this._zoomOutButton=this._createButton(e+\"-icon \"+e+\"-zoom-out\",t.zoomOut.bind(t)),this._compass=this._createButton(e+\"-icon \"+e+\"-compass\",t.resetNorth.bind(t)),this._compassArrow=o.create(\"div\",\"arrow\",this._compass),this._compass.addEventListener(\"mousedown\",this._onCompassDown.bind(this)),this._onCompassMove=this._onCompassMove.bind(this),this._onCompassUp=this._onCompassUp.bind(this),t.on(\"rotate\",this._rotateCompassArrow.bind(this)),this._rotateCompassArrow(),this._el=t.getCanvasContainer(),r},_onContextMenu:function(t){t.preventDefault()},_onCompassDown:function(t){0===t.button&&(o.disableDrag(),document.addEventListener(\"mousemove\",this._onCompassMove),document.addEventListener(\"mouseup\",this._onCompassUp),this._el.dispatchEvent(i(t)),t.stopPropagation())},_onCompassMove:function(t){0===t.button&&(this._el.dispatchEvent(i(t)),t.stopPropagation())},_onCompassUp:function(t){0===t.button&&(document.removeEventListener(\"mousemove\",this._onCompassMove),document.removeEventListener(\"mouseup\",this._onCompassUp),o.enableDrag(),this._el.dispatchEvent(i(t)),t.stopPropagation())},_createButton:function(t,e){var r=o.create(\"button\",t,this._container);return r.type=\"button\",r.addEventListener(\"click\",function(){e()}),r},_rotateCompassArrow:function(){var t=\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassArrow.style.transform=t}})},{\"../../util/dom\":428,\"../../util/util\":442,\"./control\":410}],413:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),o.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../geo/lng_lat_bounds\"),o=t(\"../../util/util\");e.exports=n,n.prototype={_enabled:!1,_active:!1,isEnabled:function(){return this._enabled},isActive:function(){return this._active},enable:function(){this.isEnabled()||(this._el.addEventListener(\"mousedown\",this._onMouseDown,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"mousedown\",this._onMouseDown),this._enabled=!1)},_onMouseDown:function(t){t.shiftKey&&0===t.button&&(document.addEventListener(\"mousemove\",this._onMouseMove,!1),document.addEventListener(\"keydown\",this._onKeyDown,!1),document.addEventListener(\"mouseup\",this._onMouseUp,!1),i.disableDrag(),this._startPos=i.mousePos(this._el,t),this._active=!0)},_onMouseMove:function(t){var e=this._startPos,r=i.mousePos(this._el,t);this._box||(this._box=i.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var n=Math.min(e.x,r.x),a=Math.max(e.x,r.x),o=Math.min(e.y,r.y),s=Math.max(e.y,r.y);i.setTransform(this._box,\"translate(\"+n+\"px,\"+o+\"px)\"),this._box.style.width=a-n+\"px\",this._box.style.height=s-o+\"px\"},_onMouseUp:function(t){if(0===t.button){var e=this._startPos,r=i.mousePos(this._el,t),n=new a(this._map.unproject(e),this._map.unproject(r));this._finish(),e.x===r.x&&e.y===r.y?this._fireEvent(\"boxzoomcancel\",t):this._map.fitBounds(n,{linear:!0}).fire(\"boxzoomend\",{originalEvent:t,boxZoomBounds:n})}},_onKeyDown:function(t){27===t.keyCode&&(this._finish(),this._fireEvent(\"boxzoomcancel\",t))},_finish:function(){this._active=!1,document.removeEventListener(\"mousemove\",this._onMouseMove,!1),document.removeEventListener(\"keydown\",this._onKeyDown,!1),document.removeEventListener(\"mouseup\",this._onMouseUp,!1),this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(this._box.parentNode.removeChild(this._box),this._box=null),i.enableDrag()},_fireEvent:function(t,e){return this._map.fire(t,{originalEvent:e})}}},{\"../../geo/lng_lat_bounds\":340,\"../../util/dom\":428,\"../../util/util\":442}],414:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._onDblClick=this._onDblClick.bind(this)}e.exports=n,n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._map.on(\"dblclick\",this._onDblClick),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._map.off(\"dblclick\",this._onDblClick),this._enabled=!1)},_onDblClick:function(t){this._map.zoomTo(this._map.getZoom()+(t.originalEvent.shiftKey?-1:1),{around:t.lngLat},t)}}},{}],415:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),a.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../util/util\");e.exports=n;var o=a.bezier(0,0,.3,1);n.prototype={_enabled:!1,_active:!1,isEnabled:function(){return this._enabled},isActive:function(){return this._active},enable:function(){this.isEnabled()||(this._el.addEventListener(\"mousedown\",this._onDown),this._el.addEventListener(\"touchstart\",this._onDown),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"mousedown\",this._onDown),this._el.removeEventListener(\"touchstart\",this._onDown),this._enabled=!1)},_onDown:function(t){this._ignoreEvent(t)||this.isActive()||(t.touches?(document.addEventListener(\"touchmove\",this._onMove),document.addEventListener(\"touchend\",this._onTouchEnd)):(document.addEventListener(\"mousemove\",this._onMove),document.addEventListener(\"mouseup\",this._onMouseUp)),this._active=!1,this._startPos=this._pos=i.mousePos(this._el,t),this._inertia=[[Date.now(),this._pos]])},_onMove:function(t){if(!this._ignoreEvent(t)){this.isActive()||(this._active=!0,this._fireEvent(\"dragstart\",t),this._fireEvent(\"movestart\",t));var e=i.mousePos(this._el,t),r=this._map;r.stop(),this._drainInertiaBuffer(),this._inertia.push([Date.now(),e]),r.transform.setLocationAtPoint(r.transform.pointLocation(this._pos),e),this._fireEvent(\"drag\",t),this._fireEvent(\"move\",t),this._pos=e,t.preventDefault()}},_onUp:function(t){if(this.isActive()){this._active=!1,this._fireEvent(\"dragend\",t),this._drainInertiaBuffer();var e=function(){this._fireEvent(\"moveend\",t)}.bind(this),r=this._inertia;if(r.length<2)return void e();var n=r[r.length-1],i=r[0],a=n[1].sub(i[1]),s=(n[0]-i[0])/1e3;if(0===s||n[1].equals(i[1]))return void e();var l=a.mult(.3/s),u=l.mag();u>1400&&(u=1400,l._unit()._mult(u));var c=u/750,h=l.mult(-c/2);this._map.panBy(h,{duration:1e3*c,easing:o,noMoveStart:!0},{originalEvent:t})}},_onMouseUp:function(t){this._ignoreEvent(t)||(this._onUp(t),document.removeEventListener(\"mousemove\",this._onMove),document.removeEventListener(\"mouseup\",this._onMouseUp))},_onTouchEnd:function(t){this._ignoreEvent(t)||(this._onUp(t),document.removeEventListener(\"touchmove\",this._onMove),document.removeEventListener(\"touchend\",this._onTouchEnd))},_fireEvent:function(t,e){return this._map.fire(t,{originalEvent:e})},_ignoreEvent:function(t){var e=this._map;if(e.boxZoom&&e.boxZoom.isActive())return!0;if(e.dragRotate&&e.dragRotate.isActive())return!0;if(t.touches)return t.touches.length>1;if(t.ctrlKey)return!0;return\"mousemove\"===t.type?!1&t.buttons:0!==t.button},_drainInertiaBuffer:function(){for(var t=this._inertia,e=Date.now();t.length>0&&e-t[0][0]>160;)t.shift()}}},{\"../../util/dom\":428,\"../../util/util\":442}],416:[function(t,e,r){\"use strict\";function n(t,e){this._map=t,this._el=t.getCanvasContainer(),this._bearingSnap=e.bearingSnap,o.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"point-geometry\"),o=t(\"../../util/util\");e.exports=n;var s=o.bezier(0,0,.25,1);n.prototype={_enabled:!1,_active:!1,isEnabled:function(){return this._enabled},isActive:function(){return this._active},enable:function(){this.isEnabled()||(this._el.addEventListener(\"mousedown\",this._onDown),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"mousedown\",this._onDown),this._enabled=!1)},_onDown:function(t){if(!this._ignoreEvent(t)&&!this.isActive()){document.addEventListener(\"mousemove\",this._onMove),document.addEventListener(\"mouseup\",this._onUp),this._active=!1,this._inertia=[[Date.now(),this._map.getBearing()]],this._startPos=this._pos=i.mousePos(this._el,t),this._center=this._map.transform.centerPoint;var e=this._startPos.sub(this._center);e.mag()<200&&(this._center=this._startPos.add(new a(-200,0)._rotate(e.angle()))),t.preventDefault()}},_onMove:function(t){if(!this._ignoreEvent(t)){this.isActive()||(this._active=!0,this._fireEvent(\"rotatestart\",t),this._fireEvent(\"movestart\",t));var e=this._map;e.stop();var r=this._pos,n=i.mousePos(this._el,t),a=this._center,o=r.sub(a).angleWith(n.sub(a))/Math.PI*180,s=e.getBearing()-o,l=this._inertia,u=l[l.length-1];this._drainInertiaBuffer(),l.push([Date.now(),e._normalizeBearing(s,u[1])]),e.transform.bearing=s,this._fireEvent(\"rotate\",t),this._fireEvent(\"move\",t),this._pos=n}},_onUp:function(t){if(!this._ignoreEvent(t)&&(document.removeEventListener(\"mousemove\",this._onMove),document.removeEventListener(\"mouseup\",this._onUp),this.isActive())){this._active=!1,this._fireEvent(\"rotateend\",t),this._drainInertiaBuffer();var e=this._map,r=e.getBearing(),n=this._inertia,i=function(){Math.abs(r)<this._bearingSnap?e.resetNorth({noMoveStart:!0},{originalEvent:t}):this._fireEvent(\"moveend\",t)}.bind(this);if(n.length<2)return void i();var a=n[0],o=n[n.length-1],l=n[n.length-2],u=e._normalizeBearing(r,l[1]),c=o[1]-a[1],h=c<0?-1:1,f=(o[0]-a[0])/1e3;if(0===c||0===f)return void i();var d=Math.abs(c*(.25/f));d>180&&(d=180);var p=d/180;u+=h*d*(p/2),Math.abs(e._normalizeBearing(u,0))<this._bearingSnap&&(u=e._normalizeBearing(0,u)),e.rotateTo(u,{duration:1e3*p,easing:s,noMoveStart:!0},{originalEvent:t})}},_fireEvent:function(t,e){return this._map.fire(t,{originalEvent:e})},_ignoreEvent:function(t){var e=this._map;if(e.boxZoom&&e.boxZoom.isActive())return!0;if(e.dragPan&&e.dragPan.isActive())return!0;if(t.touches)return t.touches.length>1;var r=t.ctrlKey?1:2,n=t.ctrlKey?0:2;return\"mousemove\"===t.type?t.buttons&0===r:t.button!==n},_drainInertiaBuffer:function(){for(var t=this._inertia,e=Date.now();t.length>0&&e-t[0][0]>160;)t.shift()}}},{\"../../util/dom\":428,\"../../util/util\":442,\"point-geometry\":484}],417:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),this._onKeyDown=this._onKeyDown.bind(this)}e.exports=n;n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._el.addEventListener(\"keydown\",this._onKeyDown,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"keydown\",this._onKeyDown),this._enabled=!1)},_onKeyDown:function(t){if(!(t.altKey||t.ctrlKey||t.metaKey)){var e=this._map,r={originalEvent:t};if(!e.isEasing())switch(t.keyCode){case 61:case 107:case 171:case 187:e.zoomTo(Math.round(e.getZoom())+(t.shiftKey?2:1),r);break;case 189:case 109:case 173:e.zoomTo(Math.round(e.getZoom())-(t.shiftKey?2:1),r);break;case 37:t.shiftKey?e.easeTo({bearing:e.getBearing()-2},r):(t.preventDefault(),e.panBy([-80,0],r));break;case 39:t.shiftKey?e.easeTo({bearing:e.getBearing()+2},r):(t.preventDefault(),e.panBy([80,0],r));break;case 38:t.shiftKey?e.easeTo({pitch:e.getPitch()+5},r):(t.preventDefault(),e.panBy([0,-80],r));break;case 40:t.shiftKey?e.easeTo({pitch:Math.max(e.getPitch()-5,0)},r):(t.preventDefault(),e.panBy([0,80],r))}}}}},{}],418:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),o.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../util/browser\"),o=t(\"../../util/util\");e.exports=n;var s=\"undefined\"!=typeof navigator?navigator.userAgent.toLowerCase():\"\",l=-1!==s.indexOf(\"firefox\"),u=-1!==s.indexOf(\"safari\")&&-1===s.indexOf(\"chrom\");n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._el.addEventListener(\"wheel\",this._onWheel,!1),this._el.addEventListener(\"mousewheel\",this._onWheel,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"wheel\",this._onWheel),this._el.removeEventListener(\"mousewheel\",this._onWheel),this._enabled=!1)},_onWheel:function(t){var e;\"wheel\"===t.type?(e=t.deltaY,l&&t.deltaMode===window.WheelEvent.DOM_DELTA_PIXEL&&(e/=a.devicePixelRatio),t.deltaMode===window.WheelEvent.DOM_DELTA_LINE&&(e*=40)):\"mousewheel\"===t.type&&(e=-t.wheelDeltaY,u&&(e/=3));var r=a.now(),n=r-(this._time||0);this._pos=i.mousePos(this._el,t),this._time=r,0!==e&&e%4.000244140625==0?(this._type=\"wheel\",e=Math.floor(e/4)):0!==e&&Math.abs(e)<4?this._type=\"trackpad\":n>400?(this._type=null,this._lastValue=e,this._timeout=setTimeout(this._onTimeout,40)):this._type||(this._type=Math.abs(n*e)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,e+=this._lastValue)),t.shiftKey&&e&&(e/=4),this._type&&this._zoom(-e,t),t.preventDefault()},_onTimeout:function(){this._type=\"wheel\",this._zoom(-this._lastValue)},_zoom:function(t,e){if(0!==t){var r=this._map,n=2/(1+Math.exp(-Math.abs(t/100)));t<0&&0!==n&&(n=1/n);var i=r.ease?r.ease.to:r.transform.scale,a=r.transform.scaleZoom(i*n);r.zoomTo(a,{duration:0,around:r.unproject(this._pos),delayEndEvents:200},{originalEvent:e})}}}},{\"../../util/browser\":426,\"../../util/dom\":428,\"../../util/util\":442}],419:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),a.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../util/util\");e.exports=n;var o=a.bezier(0,0,.15,1);n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._el.addEventListener(\"touchstart\",this._onStart,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"touchstart\",this._onStart),this._enabled=!1)},disableRotation:function(){this._rotationDisabled=!0},enableRotation:function(){this._rotationDisabled=!1},_onStart:function(t){if(2===t.touches.length){var e=i.mousePos(this._el,t.touches[0]),r=i.mousePos(this._el,t.touches[1]);this._startVec=e.sub(r),this._startScale=this._map.transform.scale,this._startBearing=this._map.transform.bearing,this._gestureIntent=void 0,this._inertia=[],\n",
       "document.addEventListener(\"touchmove\",this._onMove,!1),document.addEventListener(\"touchend\",this._onEnd,!1)}},_onMove:function(t){if(2===t.touches.length){var e=i.mousePos(this._el,t.touches[0]),r=i.mousePos(this._el,t.touches[1]),n=e.add(r).div(2),a=e.sub(r),o=a.mag()/this._startVec.mag(),s=this._rotationDisabled?0:180*a.angleWith(this._startVec)/Math.PI,l=this._map;if(this._gestureIntent){var u={duration:0,around:l.unproject(n)};\"rotate\"===this._gestureIntent&&(u.bearing=this._startBearing+s),\"zoom\"!==this._gestureIntent&&\"rotate\"!==this._gestureIntent||(u.zoom=l.transform.scaleZoom(this._startScale*o)),l.stop(),this._drainInertiaBuffer(),this._inertia.push([Date.now(),o,n]),l.easeTo(u,{originalEvent:t})}else{var c=Math.abs(1-o)>.15;Math.abs(s)>4?this._gestureIntent=\"rotate\":c&&(this._gestureIntent=\"zoom\"),this._gestureIntent&&(this._startVec=a,this._startScale=l.transform.scale,this._startBearing=l.transform.bearing)}t.preventDefault()}},_onEnd:function(t){document.removeEventListener(\"touchmove\",this._onMove),document.removeEventListener(\"touchend\",this._onEnd),this._drainInertiaBuffer();var e=this._inertia,r=this._map;if(e.length<2)return void r.snapToNorth({},{originalEvent:t});var n=e[e.length-1],i=e[0],a=r.transform.scaleZoom(this._startScale*n[1]),s=r.transform.scaleZoom(this._startScale*i[1]),l=a-s,u=(n[0]-i[0])/1e3,c=n[2];if(0===u||a===s)return void r.snapToNorth({},{originalEvent:t});var h=.15*l/u;Math.abs(h)>2.5&&(h=h>0?2.5:-2.5);var f=1e3*Math.abs(h/(12*.15)),d=a+h*f/2e3;d<0&&(d=0),r.easeTo({zoom:d,duration:f,easing:o,around:r.unproject(c)},{originalEvent:t})},_drainInertiaBuffer:function(){for(var t=this._inertia,e=Date.now();t.length>2&&e-t[0][0]>160;)t.shift()}}},{\"../../util/dom\":428,\"../../util/util\":442}],420:[function(t,e,r){\"use strict\";function n(){i.bindAll([\"_onHashChange\",\"_updateHash\"],this)}e.exports=n;var i=t(\"../util/util\");n.prototype={addTo:function(t){return this._map=t,window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},remove:function(){return window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),delete this._map,this},_onHashChange:function(){var t=location.hash.replace(\"#\",\"\").split(\"/\");return t.length>=3&&(this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:+(t[3]||0)}),!0)},_updateHash:function(){var t=this._map.getCenter(),e=this._map.getZoom(),r=this._map.getBearing(),n=Math.max(0,Math.ceil(Math.log(e)/Math.LN2)),i=\"#\"+Math.round(100*e)/100+\"/\"+t.lat.toFixed(n)+\"/\"+t.lng.toFixed(n)+(r?\"/\"+Math.round(10*r)/10:\"\");window.history.replaceState(\"\",\"\",i)}}},{\"../util/util\":442}],421:[function(t,e,r){\"use strict\";function n(t){t.parentNode&&t.parentNode.removeChild(t)}var i=t(\"../util/canvas\"),a=t(\"../util/util\"),o=t(\"../util/browser\"),s=t(\"../util/browser\").window,l=t(\"../util/evented\"),u=t(\"../util/dom\"),c=t(\"../style/style\"),h=t(\"../style/animation_loop\"),f=t(\"../render/painter\"),d=t(\"../geo/transform\"),p=t(\"./hash\"),m=t(\"./bind_handlers\"),v=t(\"./camera\"),g=t(\"../geo/lng_lat\"),y=t(\"../geo/lng_lat_bounds\"),b=t(\"point-geometry\"),x=t(\"./control/attribution\"),_={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:0,maxZoom:20,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,bearingSnap:7,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,workerCount:Math.max(o.hardwareConcurrency-1,1)},w=e.exports=function(t){if(t=a.extend({},_,t),t.workerCount<1)throw new Error(\"workerCount must an integer greater than or equal to 1.\");this._interactive=t.interactive,this._failIfMajorPerformanceCaveat=t.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=t.preserveDrawingBuffer,this._trackResize=t.trackResize,this._workerCount=t.workerCount,this._bearingSnap=t.bearingSnap,\"string\"==typeof t.container?this._container=document.getElementById(t.container):this._container=t.container,this.animationLoop=new h,this.transform=new d(t.minZoom,t.maxZoom),t.maxBounds&&this.setMaxBounds(t.maxBounds),a.bindAll([\"_forwardStyleEvent\",\"_forwardSourceEvent\",\"_forwardLayerEvent\",\"_forwardTileEvent\",\"_onStyleLoad\",\"_onStyleChange\",\"_onSourceAdd\",\"_onSourceRemove\",\"_onSourceUpdate\",\"_onWindowOnline\",\"_onWindowResize\",\"_update\",\"_render\"],this),this._setupContainer(),this._setupPainter(),this.on(\"move\",this._update.bind(this,!1)),this.on(\"zoom\",this._update.bind(this,!0)),this.on(\"moveend\",function(){this.animationLoop.set(300),this._rerender()}.bind(this)),void 0!==s&&(s.addEventListener(\"online\",this._onWindowOnline,!1),s.addEventListener(\"resize\",this._onWindowResize,!1)),m(this,t),this._hash=t.hash&&(new p).addTo(this),this._hash&&this._hash._onHashChange()||this.jumpTo({center:t.center,zoom:t.zoom,bearing:t.bearing,pitch:t.pitch}),this.stacks={},this._classes=[],this.resize(),t.classes&&this.setClasses(t.classes),t.style&&this.setStyle(t.style),t.attributionControl&&this.addControl(new x(t.attributionControl));var e=this.fire.bind(this,\"error\");this.on(\"style.error\",e),this.on(\"source.error\",e),this.on(\"tile.error\",e),this.on(\"layer.error\",e)};a.extend(w.prototype,l),a.extend(w.prototype,v.prototype),a.extend(w.prototype,{addControl:function(t){return t.addTo(this),this},addClass:function(t,e){return this._classes.indexOf(t)>=0||\"\"===t?this:(this._classes.push(t),this._classOptions=e,this.style&&this.style.updateClasses(),this._update(!0))},removeClass:function(t,e){var r=this._classes.indexOf(t);return r<0||\"\"===t?this:(this._classes.splice(r,1),this._classOptions=e,this.style&&this.style.updateClasses(),this._update(!0))},setClasses:function(t,e){for(var r={},n=0;n<t.length;n++)\"\"!==t[n]&&(r[t[n]]=!0);return this._classes=Object.keys(r),this._classOptions=e,this.style&&this.style.updateClasses(),this._update(!0)},hasClass:function(t){return this._classes.indexOf(t)>=0},getClasses:function(){return this._classes},resize:function(){var t=0,e=0;return this._container&&(t=this._container.offsetWidth||400,e=this._container.offsetHeight||300),this._canvas.resize(t,e),this.transform.resize(t,e),this.painter.resize(t,e),this.fire(\"movestart\").fire(\"move\").fire(\"resize\").fire(\"moveend\")},getBounds:function(){var t=new y(this.transform.pointLocation(new b(0,0)),this.transform.pointLocation(this.transform.size));return(this.transform.angle||this.transform.pitch)&&(t.extend(this.transform.pointLocation(new b(this.transform.size.x,0))),t.extend(this.transform.pointLocation(new b(0,this.transform.size.y)))),t},setMaxBounds:function(t){if(t){var e=y.convert(t);this.transform.lngRange=[e.getWest(),e.getEast()],this.transform.latRange=[e.getSouth(),e.getNorth()],this.transform._constrain(),this._update()}else null!==t&&void 0!==t||(this.transform.lngRange=[],this.transform.latRange=[],this._update());return this},setMinZoom:function(t){if((t=null===t||void 0===t?0:t)>=0&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between 0 and the current maxZoom, inclusive\")},setMaxZoom:function(t){if((t=null===t||void 0===t?20:t)>=this.transform.minZoom&&t<=20)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be between the current minZoom and 20, inclusive\")},project:function(t){return this.transform.locationPoint(g.convert(t))},unproject:function(t){return this.transform.pointLocation(b.convert(t))},queryRenderedFeatures:function(){var t,e={};return 2===arguments.length?(t=arguments[0],e=arguments[1]):1===arguments.length&&function(t){return t instanceof b||Array.isArray(t)}(arguments[0])?t=arguments[0]:1===arguments.length&&(e=arguments[0]),this.style.queryRenderedFeatures(this._makeQueryGeometry(t),e,this.transform.zoom,this.transform.angle)},_makeQueryGeometry:function(t){void 0===t&&(t=[b.convert([0,0]),b.convert([this.transform.width,this.transform.height])]);var e;if(t instanceof b||\"number\"==typeof t[0])e=[b.convert(t)];else{var r=[b.convert(t[0]),b.convert(t[1])];e=[r[0],new b(r[1].x,r[0].y),r[1],new b(r[0].x,r[1].y),r[0]]}return e=e.map(function(t){return this.transform.pointCoordinate(t)}.bind(this))},querySourceFeatures:function(t,e){return this.style.querySourceFeatures(t,e)},setStyle:function(t){return this.style&&(this.style.off(\"load\",this._onStyleLoad).off(\"error\",this._forwardStyleEvent).off(\"change\",this._onStyleChange).off(\"source.add\",this._onSourceAdd).off(\"source.remove\",this._onSourceRemove).off(\"source.load\",this._onSourceUpdate).off(\"source.error\",this._forwardSourceEvent).off(\"source.change\",this._onSourceUpdate).off(\"layer.add\",this._forwardLayerEvent).off(\"layer.remove\",this._forwardLayerEvent).off(\"layer.error\",this._forwardLayerEvent).off(\"tile.add\",this._forwardTileEvent).off(\"tile.remove\",this._forwardTileEvent).off(\"tile.load\",this._update).off(\"tile.error\",this._forwardTileEvent).off(\"tile.stats\",this._forwardTileEvent)._remove(),this.off(\"rotate\",this.style._redoPlacement),this.off(\"pitch\",this.style._redoPlacement)),t?(this.style=t instanceof c?t:new c(t,this.animationLoop,this._workerCount),this.style.on(\"load\",this._onStyleLoad).on(\"error\",this._forwardStyleEvent).on(\"change\",this._onStyleChange).on(\"source.add\",this._onSourceAdd).on(\"source.remove\",this._onSourceRemove).on(\"source.load\",this._onSourceUpdate).on(\"source.error\",this._forwardSourceEvent).on(\"source.change\",this._onSourceUpdate).on(\"layer.add\",this._forwardLayerEvent).on(\"layer.remove\",this._forwardLayerEvent).on(\"layer.error\",this._forwardLayerEvent).on(\"tile.add\",this._forwardTileEvent).on(\"tile.remove\",this._forwardTileEvent).on(\"tile.load\",this._update).on(\"tile.error\",this._forwardTileEvent).on(\"tile.stats\",this._forwardTileEvent),this.on(\"rotate\",this.style._redoPlacement),this.on(\"pitch\",this.style._redoPlacement),this):(this.style=null,this)},getStyle:function(){if(this.style)return this.style.serialize()},addSource:function(t,e){return this.style.addSource(t,e),this._update(!0),this},addSourceType:function(t,e,r){return this.style.addSourceType(t,e,r)},removeSource:function(t){return this.style.removeSource(t),this._update(!0),this},getSource:function(t){return this.style.getSource(t)},addLayer:function(t,e){return this.style.addLayer(t,e),this._update(!0),this},removeLayer:function(t){return this.style.removeLayer(t),this._update(!0),this},getLayer:function(t){return this.style.getLayer(t)},setFilter:function(t,e){return this.style.setFilter(t,e),this._update(!0),this},setLayerZoomRange:function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0),this},getFilter:function(t){return this.style.getFilter(t)},setPaintProperty:function(t,e,r,n){return this.style.setPaintProperty(t,e,r,n),this._update(!0),this},getPaintProperty:function(t,e,r){return this.style.getPaintProperty(t,e,r)},setLayoutProperty:function(t,e,r){return this.style.setLayoutProperty(t,e,r),this._update(!0),this},getLayoutProperty:function(t,e){return this.style.getLayoutProperty(t,e)},getContainer:function(){return this._container},getCanvasContainer:function(){return this._canvasContainer},getCanvas:function(){return this._canvas.getElement()},_setupContainer:function(){var t=this._container;t.classList.add(\"mapboxgl-map\");var e=this._canvasContainer=u.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=new i(this,e);var r=this._controlContainer=u.create(\"div\",\"mapboxgl-control-container\",t),n=this._controlCorners={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach(function(t){n[t]=u.create(\"div\",\"mapboxgl-ctrl-\"+t,r)})},_setupPainter:function(){var t=this._canvas.getWebGLContext({failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer});if(!t)return void this.fire(\"error\",{error:new Error(\"Failed to initialize WebGL\")});this.painter=new f(t,this.transform)},_contextLost:function(t){t.preventDefault(),this._frameId&&o.cancelFrame(this._frameId),this.fire(\"webglcontextlost\",{originalEvent:t})},_contextRestored:function(t){this._setupPainter(),this.resize(),this._update(),this.fire(\"webglcontextrestored\",{originalEvent:t})},loaded:function(){return!this._styleDirty&&!this._sourcesDirty&&!(!this.style||!this.style.loaded())},_update:function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this._rerender(),this):this},_render:function(){try{this.style&&this._styleDirty&&(this._styleDirty=!1,this.style.update(this._classes,this._classOptions),this._classOptions=null,this.style._recalculate(this.transform.zoom)),this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this.painter.render(this.style,{debug:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,vertices:this.vertices,rotating:this.rotating,zooming:this.zooming}),this.fire(\"render\"),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(\"load\")),this._frameId=null,this.animationLoop.stopped()||(this._styleDirty=!0),(this._sourcesDirty||this._repaint||this._styleDirty)&&this._rerender()}catch(t){this.fire(\"error\",{error:t})}return this},remove:function(){this._hash&&this._hash.remove(),o.cancelFrame(this._frameId),this.setStyle(null),void 0!==s&&s.removeEventListener(\"resize\",this._onWindowResize,!1);var t=this.painter.gl.getExtension(\"WEBGL_lose_context\");t&&t.loseContext(),n(this._canvasContainer),n(this._controlContainer),this._container.classList.remove(\"mapboxgl-map\")},_rerender:function(){this.style&&!this._frameId&&(this._frameId=o.frame(this._render))},_forwardStyleEvent:function(t){this.fire(\"style.\"+t.type,a.extend({style:t.target},t))},_forwardSourceEvent:function(t){this.fire(t.type,a.extend({style:t.target},t))},_forwardLayerEvent:function(t){this.fire(t.type,a.extend({style:t.target},t))},_forwardTileEvent:function(t){this.fire(t.type,a.extend({style:t.target},t))},_onStyleLoad:function(t){this.transform.unmodified&&this.jumpTo(this.style.stylesheet),this.style.update(this._classes,{transition:!1}),this._forwardStyleEvent(t)},_onStyleChange:function(t){this._update(!0),this._forwardStyleEvent(t)},_onSourceAdd:function(t){var e=t.source;e.onAdd&&e.onAdd(this),this._forwardSourceEvent(t)},_onSourceRemove:function(t){var e=t.source;e.onRemove&&e.onRemove(this),this._forwardSourceEvent(t)},_onSourceUpdate:function(t){this._update(),this._forwardSourceEvent(t)},_onWindowOnline:function(){this._update()},_onWindowResize:function(){this._trackResize&&this.stop().resize()._update()}}),a.extendAll(w.prototype,{_showTileBoundaries:!1,get showTileBoundaries(){return this._showTileBoundaries},set showTileBoundaries(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},_showCollisionBoxes:!1,get showCollisionBoxes(){return this._showCollisionBoxes},set showCollisionBoxes(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,this.style._redoPlacement())},_showOverdrawInspector:!1,get showOverdrawInspector(){return this._showOverdrawInspector},set showOverdrawInspector(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},_repaint:!1,get repaint(){return this._repaint},set repaint(t){this._repaint=t,this._update()},_vertices:!1,get vertices(){return this._vertices},set vertices(t){this._vertices=t,this._update()}})},{\"../geo/lng_lat\":339,\"../geo/lng_lat_bounds\":340,\"../geo/transform\":341,\"../render/painter\":355,\"../style/animation_loop\":375,\"../style/style\":378,\"../util/browser\":426,\"../util/canvas\":427,\"../util/dom\":428,\"../util/evented\":434,\"../util/util\":442,\"./bind_handlers\":407,\"./camera\":408,\"./control/attribution\":409,\"./hash\":420,\"point-geometry\":484}],422:[function(t,e,r){\"use strict\";function n(t,e){t||(t=i.create(\"div\")),t.classList.add(\"mapboxgl-marker\"),this._el=t,this._offset=o.convert(e&&e.offset||[0,0]),this._update=this._update.bind(this)}e.exports=n;var i=t(\"../util/dom\"),a=t(\"../geo/lng_lat\"),o=t(\"point-geometry\");n.prototype={addTo:function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._el),t.on(\"move\",this._update),this._update(),this},remove:function(){this._map&&(this._map.off(\"move\",this._update),this._map=null);var t=this._el.parentNode;return t&&t.removeChild(this._el),this},getLngLat:function(){return this._lngLat},setLngLat:function(t){return this._lngLat=a.convert(t),this._update(),this},getElement:function(){return this._el},_update:function(){if(this._map){var t=this._map.project(this._lngLat)._add(this._offset);i.setTransform(this._el,\"translate(\"+t.x+\"px,\"+t.y+\"px)\")}}}},{\"../geo/lng_lat\":339,\"../util/dom\":428,\"point-geometry\":484}],423:[function(t,e,r){\"use strict\";function n(t){i.setOptions(this,t),i.bindAll([\"_update\",\"_onClickClose\"],this)}e.exports=n;var i=t(\"../util/util\"),a=t(\"../util/evented\"),o=t(\"../util/dom\"),s=t(\"../geo/lng_lat\");n.prototype=i.inherit(a,{options:{closeButton:!0,closeOnClick:!0},addTo:function(t){return this._map=t,this._map.on(\"move\",this._update),this.options.closeOnClick&&this._map.on(\"click\",this._onClickClose),this._update(),this},remove:function(){return this._content&&this._content.parentNode&&this._content.parentNode.removeChild(this._content),this._container&&(this._container.parentNode.removeChild(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"click\",this._onClickClose),delete this._map),this.fire(\"close\"),this},getLngLat:function(){return this._lngLat},setLngLat:function(t){return this._lngLat=s.convert(t),this._update(),this},setText:function(t){return this.setDOMContent(document.createTextNode(t))},setHTML:function(t){var e,r=document.createDocumentFragment(),n=document.createElement(\"body\");for(n.innerHTML=t;;){if(!(e=n.firstChild))break;r.appendChild(e)}return this.setDOMContent(r)},setDOMContent:function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},_createContent:function(){this._content&&this._content.parentNode&&this._content.parentNode.removeChild(this._content),this._content=o.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=o.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClickClose))},_update:function(){if(this._map&&this._lngLat&&this._content){this._container||(this._container=o.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=o.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content));var t=this._map.project(this._lngLat).round(),e=this.options.anchor;if(!e){var 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s=0,l=0;l<3;++l)s+=Math.pow(r[l]-e[l],2);this.radius.set(t,.5*Math.log(Math.max(s,1e-6))),this.center.set(t,r[0],r[1],r[2])},d.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},d.setMatrix=function(t,e){var r=this.computedRotation;f(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),a(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;h(n,e);var i=n[15];if(Math.abs(i)>1e-6){var o=n[12]/i,s=n[13]/i,l=n[14]/i;this.recalcMatrix(t);var u=Math.exp(this.computedRadius[0]);this.center.set(t,o-n[2]*u,s-n[6]*u,l-n[10]*u),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},d.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},d.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},d.getDistanceLimits=function(t){var e=this.radius.bounds;return 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a=i.viewportWidth,o=i.viewportHeight;t.width=t.width||a-t.xOffset,t.height=t.height||o-t.yOffset,t.needsCopy=!0,de(t.xOffset>=0&&t.xOffset<a&&t.yOffset>=0&&t.yOffset<o&&t.width>0&&t.width<=a&&t.height>0&&t.height<=o,\"copy texture read out of bounds\")}else if(n){if(Qt(n))t.channels=t.channels||4,t.data=n,\"type\"in e||t.type!==Or||(t.type=At(n));else if(gt(n))t.channels=t.channels||4,Tt(t,n),t.alignment=1,t.needsFree=!0;else if(Z(n)){var s=n.data;Array.isArray(s)||t.type!==Or||(t.type=At(s));var l,c,h,f,d,p,m=n.shape,v=n.stride;3===m.length?(h=m[2],p=v[2]):(de(2===m.length,\"invalid ndarray pixel data, must be 2 or 3D\"),h=1,p=1),l=m[0],c=m[1],f=v[0],d=v[1],t.alignment=1,t.width=l,t.height=c,t.channels=h,t.format=t.internalformat=hn[h],t.needsFree=!0,Lt(t,s,f,d,p,n.offset)}else if(xt(n)||_t(n))xt(n)?t.element=n:t.element=n.canvas,t.width=t.element.width,t.height=t.element.height,t.channels=4;else if(wt(n))t.element=n,t.width=n.naturalWidth,t.height=n.naturalHeight,t.channels=4;else if(Mt(n))t.element=n,t.width=n.videoWidth,t.height=n.videoHeight,t.channels=4;else if(yt(n)){var g=t.width||n[0].length,y=t.height||n.length,b=t.channels;b=mt(n[0][0])?b||n[0][0].length:b||1;for(var x=Ce.shape(n),_=1,w=0;w<x.length;++w)_*=x[w];var M=St(t,_);Ce.flatten(n,x,\"\",M),Et(t,M),t.alignment=1,t.width=g,t.height=y,t.channels=b,t.format=t.internalformat=hn[b],t.needsFree=!0}}else t.width=t.width||1,t.height=t.height||1,t.channels=t.channels||4;t.type===jr?de(r.extensions.indexOf(\"oes_texture_float\")>=0,\"oes_texture_float extension not enabled\"):t.type===wr&&de(r.extensions.indexOf(\"oes_texture_half_float\")>=0,\"oes_texture_half_float extension not enabled\")}function d(e,r,i){var a=e.element,o=e.data,s=e.internalformat,l=e.format,u=e.type,h=e.width,f=e.height;c(e),a?t.texImage2D(r,i,l,l,u,a):e.compressed?t.compressedTexImage2D(r,i,s,h,f,0,o):e.needsCopy?(n(),t.copyTexImage2D(r,i,l,e.xOffset,e.yOffset,h,f,0)):t.texImage2D(r,i,l,h,f,0,l,u,o)}function p(e,r,i,a,o){var s=e.element,l=e.data,u=e.internalformat,h=e.format,f=e.type,d=e.width,p=e.height;c(e),s?t.texSubImage2D(r,o,i,a,h,f,s):e.compressed?t.compressedTexSubImage2D(r,o,i,a,u,d,p,l):e.needsCopy?(n(),t.copyTexSubImage2D(r,o,i,a,e.xOffset,e.yOffset,d,p)):t.texSubImage2D(r,o,i,a,d,p,h,f,l)}function m(){return K.pop()||new h}function v(t){t.needsFree&&Le.freeType(t.data),h.call(t),K.push(t)}function g(){s.call(this),this.genMipmaps=!1,this.mipmapHint=$r,this.mipmask=0,this.images=Array(16)}function y(t,e,r){var n=t.images[0]=m();t.mipmask=1,n.width=t.width=e,n.height=t.height=r,n.channels=t.channels=4}function b(t,e){var r=null;if(kt(e))r=t.images[0]=m(),l(r,t),f(r,e),t.mipmask=1;else if(u(t,e),Array.isArray(e.mipmap))for(var n=e.mipmap,i=0;i<n.length;++i)r=t.images[i]=m(),l(r,t),r.width>>=i,r.height>>=i,f(r,n[i]),t.mipmask|=1<<i;else 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r=0;r<32;++r)if(0!=(e.mipmask&1<<r))if(e.target===nr)t.texImage2D(nr,r,e.internalformat,e.width>>r,e.height>>r,0,e.internalformat,e.type,null);else for(var n=0;n<6;++n)t.texImage2D(ar+n,r,e.internalformat,e.width>>r,e.height>>r,0,e.internalformat,e.type,null);A(e.texInfo,e.target)})}var P={\"don't care\":$r,\"dont care\":$r,nice:en,fast:tn},O={repeat:Ur,clamp:Vr,mirror:Hr},R={nearest:Yr,linear:Wr},F=$t({mipmap:Kr,\"nearest mipmap nearest\":Xr,\"linear mipmap nearest\":Zr,\"nearest mipmap linear\":Jr,\"linear mipmap linear\":Kr},R),j={none:0,browser:ln},N={uint8:Or,rgba4:pr,rgb565:vr,\"rgb5 a1\":mr},B={alpha:sr,luminance:ur,\"luminance alpha\":cr,rgb:lr,rgba:or,rgba4:hr,\"rgb5 a1\":fr,rgb565:dr},U={};e.ext_srgb&&(B.srgb=xr,B.srgba=_r),e.oes_texture_float&&(N.float32=N.float=jr),e.oes_texture_half_float&&(N.float16=N[\"half float\"]=wr),e.webgl_depth_texture&&($t(B,{depth:yr,\"depth stencil\":br}),$t(N,{uint16:Rr,uint32:Fr,\"depth 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i=this.computedMatrix;m[0]=i[2],m[1]=i[6],m[2]=i[10];for(var a=this.computedUp,o=this.computedRight,s=this.computedToward,l=0;l<3;++l)i[4*l]=a[l],i[4*l+1]=o[l],i[4*l+2]=s[l];c(i,i,n,m);for(var l=0;l<3;++l)a[l]=i[4*l],o[l]=i[4*l+1];this.up.set(t,a[0],a[1],a[2]),this.right.set(t,o[0],o[1],o[2])}},p.pan=function(t,e,r,i){e=e||0,r=r||0,i=i||0,this.recalcMatrix(t);var a=this.computedMatrix,o=(Math.exp(this.computedRadius[0]),a[1]),s=a[5],l=a[9],u=n(o,s,l);o/=u,s/=u,l/=u;var c=a[0],h=a[4],f=a[8],d=c*o+h*s+f*l;c-=o*d,h-=s*d,f-=l*d;var p=n(c,h,f);c/=p,h/=p,f/=p;var m=c*e+o*r,v=h*e+s*r,g=f*e+l*r;this.center.move(t,m,v,g);var y=Math.exp(this.computedRadius[0]);y=Math.max(1e-4,y+i),this.radius.set(t,Math.log(y))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,a){var o=1;\"number\"==typeof r&&(o=0|r),(o<0||o>3)&&(o=1);var s=(o+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var l=e[o],c=e[o+4],h=e[o+8];if(a){var 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this._validate(t,this.minMonth,this.minDay,i.local.invalidYear||i.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);return t=n.year(),t<0&&t++,n.day()+30*(n.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),i.calendars.ethiopian=n},{\"../main\":581,\"object-assign\":470}],571:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function i(t,e){return t-e*Math.floor(t/e)}var a=t(\"../main\"),o=t(\"object-assign\");n.prototype=new a.baseCalendar,o(n.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom 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t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,a.local.invalidMonth),12===e&&this.leapYear(t)?30:8===e&&5===i(this.daysInYear(t),10)?30:9===e&&3===i(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var n=this._validate(t,e,r,a.local.invalidDate);return{yearType:(this.leapYear(n)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(n)%10-3]}},toJD:function(t,e,r){var n=this._validate(t,e,r,a.local.invalidDate);t=n.year(),e=n.month(),r=n.day();var i=t<=0?t+1:t,o=this.jdEpoch+this._delay1(i)+this._delay2(i)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(var s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(var s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return i(3*(n+1),7)<3&&n++,n},_delay2:function(t){var 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this._validate(t,this.minMonth,this.minDay,o.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,o.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if(t=t.split(\".\"),t.length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,o.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,o.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,o.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,o.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,o.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,o.local.invalidDate),!0},extraInfo:function(t,e,r){var n=this._validate(t,e,r,o.local.invalidDate),i=n.toJD(),a=this._toHaab(i),s=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[s[0]-1],tzolkinDay:s[0],tzolkinTrecena:s[1]}},_toHaab:function(t){t-=this.jdEpoch;var e=i(t+8+340,365);return[Math.floor(e/20)+1,i(e,20)]},_toTzolkin:function(t){return t-=this.jdEpoch,[a(t+20,20),a(t+4,13)]},toJD:function(t,e,r){var n=this._validate(t,e,r,o.local.invalidDate);return n.day()+20*n.month()+360*n.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),o.calendars.mayan=n},{\"../main\":581,\"object-assign\":470}],575:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\");n.prototype=new i.baseCalendar;var o=i.instance(\"gregorian\");a(n.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var 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i.baseCalendar,a(n.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,i.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);t=n.year(),e=n.month(),r=n.day();var a=i.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var u=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,\n",
       "s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(u)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(u,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=i.instance(),r=e.fromJD(t),n=r.year(),a=r.dayOfYear(),o=n+56;this._createMissingCalendarData(o);for(var s=9,l=this.NEPALI_CALENDAR_DATA[o][0],u=this.NEPALI_CALENDAR_DATA[o][s]-l+1;a>u;)s++,s>12&&(s=1,o++),u+=this.NEPALI_CALENDAR_DATA[o][s];var c=this.NEPALI_CALENDAR_DATA[o][s]-(u-a);return this.newDate(o,s,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 0===this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29,29,30,30],2077:[17,31,32,31,32,31,30,30,30,29,30,29,31],2078:[17,31,31,31,32,31,31,30,29,30,29,30,30],2079:[17,31,31,32,31,31,31,30,29,30,29,30,30],2080:[16,31,32,31,32,31,30,30,30,29,29,30,30],2081:[17,31,31,32,32,31,30,30,30,29,30,30,30],2082:[17,31,32,31,32,31,30,30,30,29,30,30,30],2083:[17,31,31,32,31,31,30,30,30,29,30,30,30],2084:[17,31,31,32,31,31,30,30,30,29,30,30,30],2085:[17,31,32,31,32,31,31,30,30,29,30,30,30],2086:[17,31,32,31,32,31,30,30,30,29,30,30,30],2087:[16,31,31,32,31,31,31,30,30,29,30,30,30],2088:[16,30,31,32,32,30,31,30,30,29,30,30,30],2089:[17,31,32,31,32,31,30,30,30,29,30,30,30],2090:[17,31,32,31,32,31,30,30,30,29,30,30,30],2091:[16,31,31,32,31,31,31,30,30,29,30,30,30],2092:[16,31,31,32,32,31,30,30,30,29,30,30,30],2093:[17,31,32,31,32,31,30,30,30,29,30,30,30],2094:[17,31,31,32,31,31,30,30,30,29,30,30,30],2095:[17,31,31,32,31,31,31,30,29,30,30,30,30],2096:[17,30,31,32,32,31,30,30,29,30,29,30,30],2097:[17,31,32,31,32,31,30,30,30,29,30,30,30],2098:[17,31,31,32,31,31,31,29,30,29,30,30,31],2099:[17,31,31,32,31,31,31,30,29,29,30,30,30],2100:[17,31,32,31,32,30,31,30,29,30,29,30,30]}}),i.calendars.nepali=n},{\"../main\":581,\"object-assign\":470}],577:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function i(t,e){return t-e*Math.floor(t/e)}var a=t(\"../main\"),o=t(\"object-assign\");n.prototype=new a.baseCalendar,o(n.prototype,{name:\"Persian\",jdEpoch:1948320.5,daysPerMonth:[31,31,31,31,31,31,30,30,30,30,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Persian\",epochs:[\"BP\",\"AP\"],monthNames:[\"Farvardin\",\"Ordibehesht\",\"Khordad\",\"Tir\",\"Mordad\",\"Shahrivar\",\"Mehr\",\"Aban\",\"Azar\",\"Day\",\"Bahman\",\"Esfand\"],monthNamesShort:[\"Far\",\"Ord\",\"Kho\",\"Tir\",\"Mor\",\"Sha\",\"Meh\",\"Aba\",\"Aza\",\"Day\",\"Bah\",\"Esf\"],dayNames:[\"Yekshambe\",\"Doshambe\",\"Seshambe\",\"Ch\\xe6harshambe\",\"Panjshambe\",\"Jom'e\",\"Shambe\"],dayNamesShort:[\"Yek\",\"Do\",\"Se\",\"Ch\\xe6\",\"Panj\",\"Jom\",\"Sha\"],dayNamesMin:[\"Ye\",\"Do\",\"Se\",\"Ch\",\"Pa\",\"Jo\",\"Sh\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,a.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,a.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var n=this._validate(t,e,r,a.local.invalidDate);t=n.year(),e=n.month(),r=n.day();var o=t-(t>=0?474:473),s=474+i(o,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(o/2820)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=t-this.toJD(475,1,1),r=Math.floor(e/1029983),n=i(e,1029983),a=2820;if(1029982!==n){var o=Math.floor(n/366),s=i(n,366);a=Math.floor((2134*o+2816*s+2815)/1028522)+o+1}var l=a+2820*r+474;l=l<=0?l-1:l;var u=t-this.toJD(l,1,1)+1,c=u<=186?Math.ceil(u/31):Math.ceil((u-6)/30),h=t-this.toJD(l,c,1)+1;return this.newDate(l,c,h)}}),a.calendars.persian=n,a.calendars.jalali=n},{\"../main\":581,\"object-assign\":470}],578:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\"),o=i.instance();n.prototype=new i.baseCalendar,a(n.prototype,{name:\"Taiwan\",jdEpoch:2419402.5,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),t=this._t2gYear(e.year());return o.leapYear(t)},weekOfYear:function(t,e,r){var n=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),t=this._t2gYear(n.year());return o.weekOfYear(t,n.month(),n.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate),t=this._t2gYear(n.year());return o.toJD(t,n.month(),n.day())},fromJD:function(t){var e=o.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),i.calendars.taiwan=n},{\"../main\":581,\"object-assign\":470}],579:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\"),o=i.instance();n.prototype=new i.baseCalendar,a(n.prototype,{name:\"Thai\",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),t=this._t2gYear(e.year());return o.leapYear(t)},weekOfYear:function(t,e,r){var n=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),t=this._t2gYear(n.year());return o.weekOfYear(t,n.month(),n.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate),t=this._t2gYear(n.year());return o.toJD(t,n.month(),n.day())},fromJD:function(t){var e=o.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),i.calendars.thai=n},{\"../main\":581,\"object-assign\":470}],580:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\");n.prototype=new i.baseCalendar,a(n.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear);return 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n(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function i(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function a(t,e){return t=\"\"+t,\"000000\".substring(0,e-t.length)+t}function o(){this.shortYearCutoff=\"+10\"}function s(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}var l=t(\"object-assign\");l(n.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance(),n.newDate(t,e,r)},substituteDigits:function(t){\n",
       "return function(e){return(e+\"\").replace(/[0-9]/g,function(e){return t[e]})}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),l(i.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+a(Math.abs(this.year()),4)+\"-\"+a(this.month(),2)+\"-\"+a(this.day(),2)}}),l(o.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new i(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+a(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return 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o=i[e];o.anchor&&\"free\"!==o.anchor&&(o.anchor=f.cleanId(o.anchor)),o.overlaying&&(o.overlaying=f.cleanId(o.overlaying)),o.type||(o.isdate?o.type=\"date\":o.islog?o.type=\"log\":!1===o.isdate&&!1===o.islog&&(o.type=\"linear\")),\"withzero\"!==o.autorange&&\"tozero\"!==o.autorange||(o.autorange=!0,o.rangemode=\"tozero\"),delete o.islog,delete o.isdate,delete o.categories,a(o,\"domain\")&&delete o.domain,void 0!==o.autotick&&(void 0===o.tickmode&&(o.tickmode=o.autotick?\"auto\":\"linear\"),delete o.autotick)}var s=Array.isArray(t.annotations)?t.annotations.length:0;for(e=0;e<s;e++){var u=t.annotations[e];c.isPlainObject(u)&&(u.ref&&(\"paper\"===u.ref?(u.xref=\"paper\",u.yref=\"paper\"):\"data\"===u.ref&&(u.xref=\"x\",u.yref=\"y\"),delete u.ref),n(u,\"xref\"),n(u,\"yref\"))}var p=Array.isArray(t.shapes)?t.shapes.length:0;for(e=0;e<p;e++){var m=t.shapes[e];c.isPlainObject(m)&&(n(m,\"xref\"),n(m,\"yref\"))}var v=t.legend;v&&(v.x>3?(v.x=1.02,v.xanchor=\"left\"):v.x<-2&&(v.x=-.02,v.xanchor=\"right\"),v.y>3?(v.y=1.02,v.yanchor=\"bottom\"):v.y<-2&&(v.y=-.02,v.yanchor=\"top\")),\"rotate\"===t.dragmode&&(t.dragmode=\"orbit\"),t.scene1&&(t.scene||(t.scene=t.scene1),delete t.scene1);var g=h.getSubplotIds(t,\"gl3d\");for(e=0;e<g.length;e++){var y=t[g[e]],b=y.cameraposition;if(Array.isArray(b)&&4===b[0].length){var x=b[0],_=b[1],w=b[2],M=l([],x),k=[];for(r=0;r<3;++r)k[r]=_[e]+w*M[2+4*r];y.camera={eye:{x:k[0],y:k[1],z:k[2]},center:{x:_[0],y:_[1],z:_[2]},up:{x:M[1],y:M[5],z:M[9]}},delete y.cameraposition}}return d.clean(t),t},r.cleanData=function(t,e){for(var n=[],o=(t.concat(Array.isArray(e)?e:[]).filter(function(t){return\"uid\"in t}).map(function(t){return t.uid})),s=0;s<t.length;s++){var l,p=t[s];if(!(\"uid\"in p)||-1!==n.indexOf(p.uid)){var m;for(l=0;l<100&&(m=c.randstr(o),-1!==n.indexOf(m));l++);p.uid=c.randstr(o),o.push(p.uid)}if(n.push(p.uid),\"histogramy\"===p.type&&\"xbins\"in p&&!(\"ybins\"in p)&&(p.ybins=p.xbins,delete p.xbins),p.error_y&&\"opacity\"in p.error_y){var v=d.defaults,g=p.error_y.color||(u.traceIs(p,\"bar\")?d.defaultLine:v[s%v.length]);p.error_y.color=d.addOpacity(d.rgb(g),d.opacity(g)*p.error_y.opacity),delete p.error_y.opacity}if(\"bardir\"in p&&(\"h\"!==p.bardir||!u.traceIs(p,\"bar\")&&\"histogram\"!==p.type.substr(0,9)||(p.orientation=\"h\",r.swapXYData(p)),delete p.bardir),\"histogramy\"===p.type&&r.swapXYData(p),\"histogramx\"!==p.type&&\"histogramy\"!==p.type||(p.type=\"histogram\"),\"scl\"in p&&(p.colorscale=p.scl,delete p.scl),\"reversescl\"in p&&(p.reversescale=p.reversescl,delete p.reversescl),p.xaxis&&(p.xaxis=f.cleanId(p.xaxis,\"x\")),p.yaxis&&(p.yaxis=f.cleanId(p.yaxis,\"y\")),u.traceIs(p,\"gl3d\")&&p.scene&&(p.scene=h.subplotsRegistry.gl3d.cleanId(p.scene)),u.traceIs(p,\"pie\")||u.traceIs(p,\"bar\")||(Array.isArray(p.textposition)?p.textposition=p.textposition.map(i):p.textposition&&(p.textposition=i(p.textposition))),u.traceIs(p,\"2dMap\")&&(\"YIGnBu\"===p.colorscale&&(p.colorscale=\"YlGnBu\"),\"YIOrRd\"===p.colorscale&&(p.colorscale=\"YlOrRd\")),u.traceIs(p,\"markerColorscale\")&&p.marker){var y=p.marker;\"YIGnBu\"===y.colorscale&&(y.colorscale=\"YlGnBu\"),\"YIOrRd\"===y.colorscale&&(y.colorscale=\"YlOrRd\")}if(\"surface\"===p.type&&c.isPlainObject(p.contours)){var b=[\"x\",\"y\",\"z\"];for(l=0;l<b.length;l++){var x=p.contours[b[l]];c.isPlainObject(x)&&(x.highlightColor&&(x.highlightcolor=x.highlightColor,delete x.highlightColor),x.highlightWidth&&(x.highlightwidth=x.highlightWidth,delete x.highlightWidth))}}if(Array.isArray(p.transforms)){var _=p.transforms;for(l=0;l<_.length;l++){var w=_[l];if(c.isPlainObject(w))switch(w.type){case\"filter\":w.filtersrc&&(w.target=w.filtersrc,delete w.filtersrc),w.calendar&&(w.valuecalendar||(w.valuecalendar=w.calendar),delete w.calendar);break;case\"groupby\":if(w.styles=w.styles||w.style,w.styles&&!Array.isArray(w.styles)){var M=w.styles,k=Object.keys(M);w.styles=[];for(var A=0;A<k.length;A++)w.styles.push({target:k[A],value:M[k[A]]})}}}}a(p,\"line\")&&delete p.line,\"marker\"in p&&(a(p.marker,\"line\")&&delete p.marker.line,a(p,\"marker\")&&delete p.marker),d.clean(p)}},r.swapXYData=function(t){var e;if(c.swapAttrs(t,[\"?\",\"?0\",\"d?\",\"?bins\",\"nbins?\",\"autobin?\",\"?src\",\"error_?\"]),Array.isArray(t.z)&&Array.isArray(t.z[0])&&(t.transpose?delete t.transpose:t.transpose=!0),t.error_x&&t.error_y){var r=t.error_y,n=\"copy_ystyle\"in r?r.copy_ystyle:!(r.color||r.thickness||r.width);c.swapAttrs(t,[\"error_?.copy_ystyle\"]),n&&c.swapAttrs(t,[\"error_?.color\",\"error_?.thickness\",\"error_?.width\"])}if(\"string\"==typeof t.hoverinfo){var i=t.hoverinfo.split(\"+\");for(e=0;e<i.length;e++)\"x\"===i[e]?i[e]=\"y\":\"y\"===i[e]&&(i[e]=\"x\");t.hoverinfo=i.join(\"+\")}},r.coerceTraceIndices=function(t,e){return s(e)?[e]:Array.isArray(e)&&e.length?e:t.data.map(function(t,e){return e})},r.manageArrayContainers=function(t,e,r){var n=t.obj,i=t.parts,a=i.length,o=i[a-1],l=s(o);if(l&&null===e){var u=i.slice(0,a-1).join(\".\");c.nestedProperty(n,u).get().splice(o,1)}else l&&void 0===t.get()?(void 0===t.get()&&(r[t.astr]=null),t.set(e)):t.set(e)};var p=/(\\.[^\\[\\]\\.]+|\\[[^\\[\\]\\.]+\\])$/;r.hasParent=function(t,e){for(var r=o(e);r;){if(r in t)return!0;r=o(r)}return!1};var m=[\"x\",\"y\",\"z\"];r.clearAxisTypes=function(t,e,r){for(var n=0;n<e.length;n++)for(var i=t._fullData[n],a=0;a<3;a++){var o=f.getFromTrace(t,i,m[a]);if(o&&\"log\"!==o.type){var s=o._name,l=o._id.substr(1);if(\"scene\"===l.substr(0,5)){if(void 0!==r[l])continue;s=l+\".\"+s}var u=s+\".type\";void 0===r[s]&&void 0===r[u]&&c.nestedProperty(t.layout,u).set(null)}}}},{\"../components/color\":604,\"../lib\":728,\"../plots/cartesian/axes\":772,\"../plots/plots\":831,\"../registry\":846,\"fast-isnumeric\":131,\"gl-mat4/fromQuat\":178}],758:[function(t,e,r){\"use strict\";var n=t(\"../lib/nested_property\"),i=t(\"../lib/is_plain_object\"),a=t(\"../lib/noop\"),o=t(\"../lib/loggers\"),s=t(\"../lib/search\").sorterAsc,l=t(\"../registry\");r.containerArrayMatch=t(\"./container_array_match\");var u=r.isAddVal=function(t){return\"add\"===t||i(t)},c=r.isRemoveVal=function(t){return null===t||\"remove\"===t};r.applyContainerArrayChanges=function(t,e,r,i){var h=e.astr,f=l.getComponentMethod(h,\"supplyLayoutDefaults\"),d=l.getComponentMethod(h,\"draw\"),p=l.getComponentMethod(h,\"drawOne\"),m=i.replot||i.recalc||f===a||d===a,v=t.layout,g=t._fullLayout;if(r[\"\"]){Object.keys(r).length>1&&o.warn(\"Full array edits are incompatible with other edits\",h);var y=r[\"\"][\"\"];if(c(y))e.set(null);else{if(!Array.isArray(y))return o.warn(\"Unrecognized full array edit value\",h,y),!0;e.set(y)}return!m&&(f(v,g),d(t),!0)}var b,x,_,w,M,k,A,T=Object.keys(r).map(Number).sort(s),S=e.get(),E=S||[],L=n(g,h).get(),C=[],I=-1,z=E.length;for(b=0;b<T.length;b++)if(_=T[b],w=r[_],M=Object.keys(w),k=w[\"\"],A=u(k),_<0||_>E.length-(A?0:1))o.warn(\"index out of range\",h,_);else if(void 0!==k)M.length>1&&o.warn(\"Insertion & removal are incompatible with edits to the same index.\",h,_),c(k)?C.push(_):A?(\"add\"===k&&(k={}),E.splice(_,0,k),L&&L.splice(_,0,{})):o.warn(\"Unrecognized full object edit value\",h,_,k),-1===I&&(I=_);else for(x=0;x<M.length;x++)n(E[_],M[x]).set(w[M[x]]);for(b=C.length-1;b>=0;b--)E.splice(C[b],1),L&&L.splice(C[b],1);if(E.length?S||e.set(E):e.set(null),m)return!1;if(f(v,g),p!==a){var D;if(-1===I)D=T;else{for(z=Math.max(E.length,z),D=[],b=0;b<T.length&&!((_=T[b])>=I);b++)D.push(_);for(b=I;b<z;b++)D.push(b)}for(b=0;b<D.length;b++)p(t,D[b])}else d(t);return!0}},{\"../lib/is_plain_object\":730,\"../lib/loggers\":732,\"../lib/nested_property\":735,\"../lib/noop\":736,\"../lib/search\":745,\"../registry\":846,\"./container_array_match\":755}],759:[function(t,e,r){\"use strict\";function n(t,e){try{t._fullLayout._paper.style(\"background\",e)}catch(t){w.error(t)}}function i(t,e){n(t,I.combine(e,\"white\"))}function a(t,e){t._context||(t._context=w.extendDeep({},_.defaultConfig));var r,a,o,s=t._context;if(e){for(a=Object.keys(e),r=0;r<a.length;r++)\"editable\"!==(o=a[r])&&\"edits\"!==o&&o in s&&(\"setBackground\"===o&&\"opaque\"===e[o]?s[o]=i:s[o]=e[o]);e.plot3dPixelRatio&&!s.plotGlPixelRatio&&(s.plotGlPixelRatio=s.plot3dPixelRatio);var l=e.editable;if(void 0!==l)for(s.editable=l,a=Object.keys(s.edits),r=0;r<a.length;r++)s.edits[a[r]]=l;if(e.edits)for(a=Object.keys(e.edits),r=0;r<a.length;r++)(o=a[r])in s.edits&&(s.edits[o]=e.edits[o])}s.staticPlot&&(s.editable=!1,s.edits={},s.autosizable=!1,s.scrollZoom=!1,s.doubleClick=!1,s.showTips=!1,s.showLink=!1,s.displayModeBar=!1),\"hover\"!==s.displayModeBar||x||(s.displayModeBar=!0),\"transparent\"!==s.setBackground&&\"function\"==typeof s.setBackground||(s.setBackground=n)}function o(t,e,r){var n=y.select(t).selectAll(\".plot-container\").data([0]);n.enter().insert(\"div\",\":first-child\").classed(\"plot-container plotly\",!0);var i=n.selectAll(\".svg-container\").data([0]);i.enter().append(\"div\").classed(\"svg-container\",!0).style(\"position\",\"relative\"),i.html(\"\"),e&&(t.data=e),r&&(t.layout=r),E.manager.fillLayout(t),i.style({width:t._fullLayout.width+\"px\",height:t._fullLayout.height+\"px\"}),t.framework=E.manager.framework(t),t.framework({data:t.data,layout:t.layout},i.node()),t.framework.setUndoPoint();var a=t.framework.svg(),o=1,s=t._fullLayout.title;\"\"!==s&&s||(o=0);var l=function(){this.call(P.convertToTspans,t)},u=a.select(\".title-group text\").call(l);if(t._context.edits.titleText){s&&\"Click to enter title\"!==s||(o=.2,u.attr({\"data-unformatted\":\"Click to enter title\"}).text(\"Click to enter title\").style({opacity:o}).on(\"mouseover.opacity\",function(){y.select(this).transition().duration(100).style(\"opacity\",1)}).on(\"mouseout.opacity\",function(){y.select(this).transition().duration(1e3).style(\"opacity\",0)}));var c=function(){this.call(P.makeEditable,{gd:t}).on(\"edit\",function(e){t.framework({layout:{title:e}}),this.text(e).call(l),this.call(c)}).on(\"cancel\",function(){var t=this.attr(\"data-unformatted\");this.text(t).call(l)})};u.call(c)}return t._context.setBackground(t,t._fullLayout.paper_bgcolor),S.addLinks(t),Promise.resolve()}function s(t,e){var r,n,i=e+1,a=[];for(r=0;r<t.length;r++)n=t[r],n<0?a.push(i+n):a.push(n);return a}function l(t,e,r){var n,i;for(n=0;n<e.length;n++){if((i=e[n])!==parseInt(i,10))throw new Error(\"all values in \"+r+\" must be integers\");if(i>=t.data.length||i<-t.data.length)throw new Error(r+\" must be valid indices for gd.data.\");if(e.indexOf(i,n+1)>-1||i>=0&&e.indexOf(-t.data.length+i)>-1||i<0&&e.indexOf(t.data.length+i)>-1)throw new Error(\"each index in \"+r+\" must be unique.\")}}function u(t,e,r){if(!Array.isArray(t.data))throw new Error(\"gd.data must be an array.\");if(void 0===e)throw new Error(\"currentIndices is a required argument.\");if(Array.isArray(e)||(e=[e]),l(t,e,\"currentIndices\"),void 0===r||Array.isArray(r)||(r=[r]),void 0!==r&&l(t,r,\"newIndices\"),void 0!==r&&e.length!==r.length)throw new Error(\"current and new indices must be of equal length.\")}function c(t,e,r){var n,i;if(!Array.isArray(t.data))throw new Error(\"gd.data must be an array.\");if(void 0===e)throw new Error(\"traces must be defined.\");for(Array.isArray(e)||(e=[e]),n=0;n<e.length;n++)if(\"object\"!=typeof(i=e[n])||Array.isArray(i)||null===i)throw new Error(\"all values in traces array must be non-array objects\");if(void 0===r||Array.isArray(r)||(r=[r]),void 0!==r&&r.length!==e.length)throw new Error(\"if indices is specified, traces.length must equal indices.length\")}function h(t,e,r,n){var i=w.isPlainObject(n);if(!Array.isArray(t.data))throw new Error(\"gd.data must be an array\");if(!w.isPlainObject(e))throw new Error(\"update must be a key:value object\");if(void 0===r)throw new Error(\"indices must be an integer or array of integers\");l(t,r,\"indices\");for(var a in e){if(!Array.isArray(e[a])||e[a].length!==r.length)throw new Error(\"attribute \"+a+\" must be an array of length equal to indices array length\");if(i&&(!(a in n)||!Array.isArray(n[a])||n[a].length!==e[a].length))throw new Error(\"when maxPoints is set as a key:value object it must contain a 1:1 corrispondence with the keys and number of traces in the update object\")}}function f(t,e,r,n){var i,a,o,l,u,c=w.isPlainObject(n),h=[];Array.isArray(r)||(r=[r]),r=s(r,t.data.length-1);for(var f in e)for(var d=0;d<r.length;d++){if(i=t.data[r[d]],o=w.nestedProperty(i,f),a=o.get(),l=e[f][d],!Array.isArray(l))throw new Error(\"attribute: \"+f+\" index: \"+d+\" must be an array\");if(!Array.isArray(a))throw new Error(\"cannot extend missing or non-array attribute: \"+f);u=c?n[f][d]:n,b(u)||(u=-1),h.push({prop:o,target:a,insert:l,maxp:Math.floor(u)})}return h}function d(t,e,r,n,i,a){h(t,e,r,n);for(var o,s,l,u=f(t,e,r,n),c=[],d={},p={},m=0;m<u.length;m++)s=u[m].prop,l=u[m].maxp,o=i(u[m].target,u[m].insert),l>=0&&l<o.length&&(c=a(o,l)),l=u[m].target.length,s.set(o),Array.isArray(d[s.astr])||(d[s.astr]=[]),Array.isArray(p[s.astr])||(p[s.astr]=[]),d[s.astr].push(c),p[s.astr].push(l);return{update:d,maxPoints:p}}function p(t){return void 0===t?null:t}function m(t,e,r){function n(){return r.map(function(){})}function i(t){var e=_.Axes.id2name(t);-1===u.indexOf(e)&&u.push(e)}function a(t){return\"LAYOUT\"+t+\".autorange\"}function o(t){return\"LAYOUT\"+t+\".range\"}function s(i,a,o){if(Array.isArray(i))return void i.forEach(function(t){s(t,a,o)});if(!(i in e||R.hasParent(e,i))){var l;l=\"LAYOUT\"===i.substr(0,6)?w.nestedProperty(t.layout,i.replace(\"LAYOUT\",\"\")):w.nestedProperty(f[r[o]],i),i in v||(v[i]=n()),void 0===v[i][o]&&(v[i][o]=p(l.get())),void 0!==a&&l.set(a)}}var l,u,c=t._fullLayout,h=t._fullData,f=t.data,d=j.traceFlags(),m={},v={},g={};for(var y in e){if(R.hasParent(e,y))throw 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n,i,a,o,s=V.getFromId(t,e),l=w.select(t).selectAll(\"g.\"+e+\"tick\"),u={selection:l,side:s.side},h=e.charAt(0),f=t._fullLayout._size,d=s.titlefont.size;if(l.size()){var p=L.getTranslate(l.node().parentNode);u.offsetLeft=p.x,u.offsetTop=p.y}var 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names\":\"countries\"},r.sphereSVG={type:\"Sphere\"},r.fillLayers={ocean:1,land:1,lakes:1},r.lineLayers={subunits:1,countries:1,coastlines:1,rivers:1,frame:1},r.layers=[\"bg\",\"ocean\",\"land\",\"lakes\",\"subunits\",\"countries\",\"coastlines\",\"rivers\",\"lataxis\",\"lonaxis\",\"frame\",\"backplot\",\"frontplot\"],r.layersForChoropleth=[\"bg\",\"ocean\",\"land\",\"subunits\",\"countries\",\"coastlines\",\"lataxis\",\"lonaxis\",\"frame\",\"backplot\",\"rivers\",\"lakes\",\"frontplot\"],r.layerNameToAdjective={ocean:\"ocean\",land:\"land\",lakes:\"lake\",subunits:\"subunit\",countries:\"country\",coastlines:\"coastline\",rivers:\"river\",frame:\"frame\"}},{}],799:[function(t,e,r){\"use strict\";function 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h=e._isScoped=\"world\"!==o,f=e._isConic=-1!==u.indexOf(\"conic\");e._isClipped=!!a.lonaxisSpan[u];for(var d=0;d<s.length;d++){var p,m=s[d],v=[30,10][d];if(h)p=l[m+\"Range\"];else{var g=a[m+\"Span\"],y=(g[u]||g[\"*\"])/2,b=r(\"projection.rotation.\"+m.substr(0,3),l.projRotate[d]);p=[b-y,b+y]}r(m+\".tick0\",r(m+\".range\",p)[0]),r(m+\".dtick\",v),n=r(m+\".showgrid\"),n&&(r(m+\".gridcolor\"),r(m+\".gridwidth\"))}var x=e.lonaxis.range,_=e.lataxis.range,w=x[0],M=x[1];w>0&&M<0&&(M+=360);var k,A=(w+M)/2;if(!c){var T=h?l.projRotate:[A,0,0];k=r(\"projection.rotation.lon\",T[0]),r(\"projection.rotation.lat\",T[1]),r(\"projection.rotation.roll\",T[2]),n=r(\"showcoastlines\",!h),n&&(r(\"coastlinecolor\"),r(\"coastlinewidth\")),n=r(\"showocean\"),n&&r(\"oceancolor\")}var 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r=t[0],n=t[1],i=t[2],a=t[3],o=e[0],s=e[1],l=e[2],u=e[3];return[r*o-n*s-i*l-a*u,r*s+n*o+i*u-a*l,r*l-n*u+i*o+a*s,r*u+n*l-i*s+a*o]}function f(t,e){if(t&&e){var r=x(t,e),n=Math.sqrt(b(r,r)),i=.5*Math.acos(Math.max(-1,Math.min(1,b(t,e)))),a=Math.sin(i)/n;return n&&[Math.cos(i),r[2]*a,-r[1]*a,r[0]*a]}}function d(t,e,r){var n=v(e,2,t[0]);n=v(n,1,t[1]),n=v(n,0,t[2]-r[2]);var i,a,o=e[0],s=e[1],l=e[2],u=n[0],c=n[1],h=n[2],f=Math.atan2(s,o)*A,d=Math.sqrt(o*o+s*s);Math.abs(c)>d?(a=(c>0?90:-90)-f,i=0):(a=Math.asin(c/d)*A-f,i=Math.sqrt(d*d-c*c));var m=180-a-2*f,g=(Math.atan2(h,u)-Math.atan2(l,i))*A,y=(Math.atan2(h,u)-Math.atan2(l,-i))*A;return p(r[0],r[1],a,g)<=p(r[0],r[1],m,y)?[a,g,r[2]]:[m,y,r[2]]}function p(t,e,r,n){var i=m(r-t),a=m(n-e);return Math.sqrt(i*i+a*a)}function m(t){return(t%360+540)%360-180}function v(t,e,r){var n=r*k,i=t.slice(),a=0===e?1:0,o=2===e?1:2,s=Math.cos(n),l=Math.sin(n);return i[a]=t[a]*s-t[o]*l,i[o]=t[o]*s+t[a]*l,i}function 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n(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}function i(t){function e(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function r(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}function i(n,i,a){function o(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(f[e]=i,f[e+2]=a,h.dataBox=f,t.setRanges(f)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}var s,u,f=t.calcDataBox(),d=c.viewBox,p=h.lastPos[0],m=h.lastPos[1],v=l.MINDRAG*c.pixelRatio,g=l.MINZOOM*c.pixelRatio;switch(i*=c.pixelRatio,a*=c.pixelRatio,a=d[3]-d[1]-a,t.fullLayout.dragmode){case\"zoom\":if(n){var y=i/(d[2]-d[0])*(f[2]-f[0])+f[0],b=a/(d[3]-d[1])*(f[3]-f[1])+f[1];h.boxInited||(h.boxStart[0]=y,h.boxStart[1]=b,h.dragStart[0]=i,h.dragStart[1]=a),h.boxEnd[0]=y,h.boxEnd[1]=b,h.boxInited=!0,h.boxEnabled||h.boxStart[0]===h.boxEnd[0]&&h.boxStart[1]===h.boxEnd[1]||(h.boxEnabled=!0);var x=Math.abs(h.dragStart[0]-i)<g,_=Math.abs(h.dragStart[1]-a)<g;if(!r()||x&&_)x&&(h.boxEnd[0]=h.boxStart[0]),_&&(h.boxEnd[1]=h.boxStart[1]);else{s=h.boxEnd[0]-h.boxStart[0],u=h.boxEnd[1]-h.boxStart[1];var 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h.boxEnabled?(s=h.boxStart[0]!==h.boxEnd[0],u=h.boxStart[1]!==h.boxEnd[1],s||u?(s&&(o(0,h.boxStart[0],h.boxEnd[0]),t.xaxis.autorange=!1),u&&(o(1,h.boxStart[1],h.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),h.boxEnabled=!1,h.boxInited=!1):h.boxInited&&(h.boxInited=!1);break;case\"pan\":h.boxEnabled=!1,h.boxInited=!1,n?(h.panning||(h.dragStart[0]=i,h.dragStart[1]=a),Math.abs(h.dragStart[0]-i)<v&&(i=h.dragStart[0]),Math.abs(h.dragStart[1]-a)<v&&(a=h.dragStart[1]),s=(p-i)*(f[2]-f[0])/(c.viewBox[2]-c.viewBox[0]),u=(m-a)*(f[3]-f[1])/(c.viewBox[3]-c.viewBox[1]),f[0]+=s,f[2]+=s,f[1]+=u,f[3]+=u,t.setRanges(f),h.panning=!0,h.lastInputTime=Date.now(),e(),t.cameraChanged(),t.handleAnnotations()):h.panning&&(h.panning=!1,t.relayoutCallback())}h.lastPos[0]=i,h.lastPos[1]=a}var u=t.mouseContainer,c=t.glplot,h=new n(u,c);return h.mouseListener=a(u,i),u.addEventListener(\"touchstart\",function(t){var e=s(t.changedTouches[0],u);i(0,e[0],e[1]),i(1,e[0],e[1])}),u.addEventListener(\"touchmove\",function(t){t.preventDefault();var e=s(t.changedTouches[0],u);i(1,e[0],e[1])}),u.addEventListener(\"touchend\",function(){i(0,h.lastPos[0],h.lastPos[1])}),h.wheelListener=o(u,function(r,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=c.viewBox,o=h.lastPos[0],s=h.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),u=o/(a[2]-a[0])*(i[2]-i[0])+i[0],f=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-u)*l+u,i[2]=(i[2]-u)*l+u,i[1]=(i[1]-f)*l+f,i[3]=(i[3]-f)*l+f,t.setRanges(i),h.lastInputTime=Date.now(),e(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),h}var a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"../cartesian/constants\");e.exports=i},{\"../cartesian/constants\":777,\"mouse-change\":452,\"mouse-event-offset\":453,\"mouse-wheel\":455}],807:[function(t,e,r){\"use strict\";function n(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}function i(t){return new n(t)}var a=t(\"../plots\"),o=t(\"../cartesian/axes\"),s=t(\"../../lib/html2unicode\"),l=t(\"../../lib/str2rgbarray\"),u=n.prototype,c=[\"xaxis\",\"yaxis\"];u.merge=function(t){this.titleEnable=!1,this.backgroundColor=l(t.plot_bgcolor);var e,r,n,i,a,o,u,h,f,d,p;for(d=0;d<2;++d){for(e=c[d],r=t[this.scene[e]._name],n=/Click to enter .+ title/.test(r.title)?\"\":r.title,p=0;p<=2;p+=2)this.labelEnable[d+p]=!1,this.labels[d+p]=s(n),this.labelColor[d+p]=l(r.titlefont.color),this.labelFont[d+p]=r.titlefont.family,this.labelSize[d+p]=r.titlefont.size,this.labelPad[d+p]=this.getLabelPad(e,r),this.tickEnable[d+p]=!1,this.tickColor[d+p]=l((r.tickfont||{}).color),this.tickAngle[d+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[d+p]=this.getTickPad(r),this.tickMarkLength[d+p]=0,this.tickMarkWidth[d+p]=r.tickwidth||0,this.tickMarkColor[d+p]=l(r.tickcolor),this.borderLineEnable[d+p]=!1,this.borderLineColor[d+p]=l(r.linecolor),this.borderLineWidth[d+p]=r.linewidth||0;u=this.hasSharedAxis(r),a=this.hasAxisInDfltPos(e,r)&&!u,o=this.hasAxisInAltrPos(e,r)&&!u,i=r.mirror||!1,h=u?-1!==String(i).indexOf(\"all\"):!!i,f=u?\"allticks\"===i:-1!==String(i).indexOf(\"ticks\"),a?this.labelEnable[d]=!0:o&&(this.labelEnable[d+2]=!0),a?this.tickEnable[d]=r.showticklabels:o&&(this.tickEnable[d+2]=r.showticklabels),(a||h)&&(this.borderLineEnable[d]=r.showline),(o||h)&&(this.borderLineEnable[d+2]=r.showline),(a||f)&&(this.tickMarkLength[d]=this.getTickMarkLength(r)),(o||f)&&(this.tickMarkLength[d+2]=this.getTickMarkLength(r)),this.gridLineEnable[d]=r.showgrid,this.gridLineColor[d]=l(r.gridcolor),this.gridLineWidth[d]=r.gridwidth,this.zeroLineEnable[d]=r.zeroline,this.zeroLineColor[d]=l(r.zerolinecolor),this.zeroLineWidth[d]=r.zerolinewidth}},u.hasSharedAxis=function(t){var e=this.scene,r=a.getSubplotIds(e.fullLayout,\"gl2d\");return 0!==o.findSubplotsWithAxis(r,t).indexOf(e.id)},u.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},u.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},u.getLabelPad=function(t,e){var r=e.titlefont.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},u.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},u.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=i},{\n",
       "\"../../lib/html2unicode\":726,\"../../lib/str2rgbarray\":749,\"../cartesian/axes\":772,\"../plots\":831}],808:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"./scene2d\"),a=t(\"../plots\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),u=t(\"../../components/fx/layout_attributes\");r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.layoutAttributes.plot_bgcolor,hoverlabel:u.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=a.getSubplotIds(e,\"gl2d\"),o=0;o<n.length;o++){var s=n[o],l=e._plots[s],u=a.getSubplotData(r,\"gl2d\",s),c=l._scene2d;void 0===c&&(c=new i({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),l._scene2d=c),c.plot(u,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=a.getSubplotIds(n,\"gl2d\"),o=0;o<i.length;o++){var s=i[o],u=n._plots[s];if(u._scene2d){0===a.getSubplotData(t,\"gl2d\",s).length&&(u._scene2d.destroy(),delete n._plots[s])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=a.getSubplotIds(e,\"gl2d\"),n=0;n<r.length;n++){var i=e._plots[r[n]],s=i._scene2d,l=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":l,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),s.destroy()}},r.updateFx=function(t){for(var e=a.getSubplotIds(t,\"gl2d\"),r=0;r<e.length;r++){t._plots[e[r]]._scene2d.updateFx(t.dragmode)}}},{\"../../components/fx/layout_attributes\":646,\"../../constants/xmlns_namespaces\":709,\"../../plot_api/edit_types\":756,\"../cartesian\":782,\"../cartesian/attributes\":771,\"../cartesian/constants\":777,\"../plots\":831,\"./scene2d\":809}],809:[function(t,e,r){\"use strict\";function n(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context.scrollZoom,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.glplotOptions=p(this),this.glplotOptions.merge(e),this.glplot=c(this.glplotOptions),this.camera=m(this),this.traces={},this.spikes=h(this.glplot),this.selectBox=f(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.bounds=[1/0,1/0,-1/0,-1/0],this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw()}function i(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1}var a,o,s=t(\"../../registry\"),l=t(\"../../plots/cartesian/axes\"),u=t(\"../../components/fx\"),c=t(\"gl-plot2d\"),h=t(\"gl-spikes2d\"),f=t(\"gl-select-box\"),d=t(\"webgl-context\"),p=t(\"./convert\"),m=t(\"./camera\"),v=t(\"../../lib/html2unicode\"),g=t(\"../../lib/show_no_webgl_msg\"),y=t(\"../../plots/cartesian/constraints\"),b=y.enforce,x=y.clean,_=[\"xaxis\",\"yaxis\"];e.exports=n;var w=n.prototype;w.makeFramework=function(){if(this.staticPlot){if(!(o||(a=document.createElement(\"canvas\"),o=d({canvas:a,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=a,this.gl=o}else{var t=document.createElement(\"canvas\"),e=d({canvas:t,premultipliedAlpha:!0});e||g(this),this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r),r.className+=\"user-select-none\";var n=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");n.style.position=\"absolute\",n.style.top=n.style.left=\"0px\",n.style.width=n.style.height=\"100%\",n.style[\"z-index\"]=20,n.style[\"pointer-events\"]=\"none\";var i=this.mouseContainer=document.createElement(\"div\");i.style.position=\"absolute\",i.style[\"pointer-events\"]=\"auto\";var s=this.container;s.appendChild(r),s.appendChild(n),s.appendChild(i);var l=this;i.addEventListener(\"mouseout\",function(){l.isMouseOver=!1,l.unhover()}),i.addEventListener(\"mouseover\",function(){l.isMouseOver=!0})},w.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(a),this.updateSize(this.canvas),this.glplot.setDirty(),this.glplot.draw();var e=this.glplot.gl,r=e.drawingBufferWidth,n=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var i=new Uint8Array(r*n*4);e.readPixels(0,0,r,n,e.RGBA,e.UNSIGNED_BYTE,i);for(var o=0,s=n-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=i[4*(r*o+l)+u];i[4*(r*o+l)+u]=i[4*(r*s+l)+u],i[4*(r*s+l)+u]=c}var h=document.createElement(\"canvas\");h.width=r,h.height=n;var f=h.getContext(\"2d\"),d=f.createImageData(r,n);d.data.set(i),f.putImageData(d,0,0);var p;switch(t){case\"jpeg\":p=h.toDataURL(\"image/jpeg\");break;case\"webp\":p=h.toDataURL(\"image/webp\");break;default:p=h.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(a),p},w.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),this.redraw&&this.redraw(),t},w.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[l.calcTicks(this.xaxis),l.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=v(t[e][r].text+\"\");return t},w.updateRefs=function(t){this.fullLayout=t;var e=l.subplotMatch,r=\"xaxis\"+this.id.match(e)[1],n=\"yaxis\"+this.id.match(e)[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},w.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout;n.xaxis.autorange=e.autorange,n.xaxis.range=e.range.slice(0),n.yaxis.autorange=r.autorange,n.yaxis.range=r.range.slice(0);var i={lastInputTime:this.camera.lastInputTime};i[e._name]=e.range.slice(0),i[r._name]=r.range.slice(0),t.emit(\"plotly_relayout\",i)},w.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();i(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},w.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&s.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},w.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map(function(e){t[e].dispose(),delete t[e]}),this.glplot.dispose(),this.staticPlot||this.container.removeChild(this.canvas),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},w.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis}};x(s,this.xaxis),x(s,this.yaxis);var u=r._size,c=this.xaxis.domain,h=this.yaxis.domain;o.viewBox=[u.l+c[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-c[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(c[1]-c[0])+\"px\",this.mouseContainer.style.height=u.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=u.h*(h[1]-h[0]),this.mouseContainer.style.left=u.l+c[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+\"px\";var f=this.bounds;f[0]=f[1]=1/0,f[2]=f[3]=-1/0;var d,p,m=Object.keys(this.traces);for(p=0;p<m.length;++p)for(var v=this.traces[m[p]],g=0;g<2;++g)f[g]=Math.min(f[g],v.bounds[g]),f[g+2]=Math.max(f[g+2],v.bounds[g+2]);for(p=0;p<2;++p)f[p]>f[p+2]&&(f[p]=-1,f[p+2]=1),d=this[_[p]],d._length=o.viewBox[p+2]-o.viewBox[p],l.doAutoRange(d),d.setScale();b(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},w.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},w.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},w.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if(i=t[n],i.uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort(function(t,e){return t._trace.index-e._trace.index})},w.updateFx=function(t){this.mouseContainer.style[\"pointer-events\"]=\"lasso\"===t||\"select\"===t?\"none\":\"auto\",this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},w.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};u.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},w.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,s=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var l=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(l[c]=t.dataBox[c],l[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var h=i._size,f=this.xaxis.domain,d=this.yaxis.domain;a=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,s/t.pixelRatio-(h.t+(1-d[1])*h.h));var p=a&&a.object._trace.handlePick(a);if(p&&n&&this.emitPointAction(p,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&p&&(!this.lastPickResult||this.lastPickResult.traceUid!==p.trace.uid||this.lastPickResult.dataCoord[0]!==p.dataCoord[0]||this.lastPickResult.dataCoord[1]!==p.dataCoord[1])){var m=p;this.lastPickResult={traceUid:p.trace?p.trace.uid:null,dataCoord:p.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),m.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(p,\"plotly_hover\");var v=this.fullData[m.trace.index]||{},g=m.pointIndex,y=u.castHoverinfo(v,i,g);if(y&&\"all\"!==y){var b=y.split(\"+\");-1===b.indexOf(\"x\")&&(m.traceCoord[0]=void 0),-1===b.indexOf(\"y\")&&(m.traceCoord[1]=void 0),-1===b.indexOf(\"z\")&&(m.traceCoord[2]=void 0),-1===b.indexOf(\"text\")&&(m.textLabel=void 0),-1===b.indexOf(\"name\")&&(m.name=void 0)}u.loneHover({x:m.screenCoord[0],y:m.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",m.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",m.traceCoord[1]),zLabel:m.traceCoord[2],text:m.textLabel,name:m.name,color:u.castHoverOption(v,g,\"bgcolor\")||m.color,borderColor:u.castHoverOption(v,g,\"bordercolor\"),fontFamily:u.castHoverOption(v,g,\"font.family\"),fontSize:u.castHoverOption(v,g,\"font.size\"),fontColor:u.castHoverOption(v,g,\"font.color\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},w.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),u.loneUnhover(this.svgContainer))},w.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return l.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../components/fx\":645,\"../../lib/html2unicode\":726,\"../../lib/show_no_webgl_msg\":747,\"../../plots/cartesian/axes\":772,\"../../plots/cartesian/constraints\":779,\"../../registry\":846,\"./camera\":806,\"./convert\":807,\"gl-plot2d\":219,\"gl-select-box\":253,\"gl-spikes2d\":262,\"webgl-context\":563}],810:[function(t,e,r){\"use strict\";function n(t,e){function r(e,r,n,a){var o=p.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,c=\"zoom\"===o,f=!!a.control,d=!!a.alt,y=!!a.shift,b=!!(1&e),x=!!(2&e),_=!!(4&e),w=1/t.clientHeight,M=w*(r-m),k=w*(n-v),A=p.flipX?1:-1,T=p.flipY?1:-1,S=i(),E=Math.PI*p.rotateSpeed;if((s&&b&&!f&&!d&&!y||b&&!f&&!d&&y)&&u.rotate(S,A*E*M,-T*E*k,0),(l&&b&&!f&&!d&&!y||x||b&&f&&!d&&!y)&&u.pan(S,-p.translateSpeed*M*h,p.translateSpeed*k*h,0),c&&b&&!f&&!d&&!y||_||b&&!f&&d&&!y){var L=-p.zoomSpeed*k/window.innerHeight*(S-u.lastT())*100;u.pan(S,0,0,h*(Math.exp(L)-1))}return m=r,v=n,g=a,!0}}t=t||document.body,e=e||{};var n=[.01,1/0];\"distanceLimits\"in e&&(n[0]=e.distanceLimits[0],n[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(n[0]=e.zoomMin),\"zoomMax\"in e&&(n[1]=e.zoomMax);var u=a({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:n}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],h=0,f=t.clientWidth,d=t.clientHeight,p={keyBindingMode:\"rotate\",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,tick:function(){var e=i(),r=this.delay,n=e-2*r;u.idle(e-r),u.recalcMatrix(n),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===f&&t.clientHeight===d;return f=t.clientWidth,d=t.clientHeight,a?!l:(h=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)}};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(),n=u.computedCenter.slice();if(u.setMode(t),\"turntable\"===t){var a=i();u._active.lookAt(a,r,n,e),u._active.lookAt(a+500,r,n,[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 h},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(n)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",function(t){return t.preventDefault(),!1});var m=0,v=0,g={shift:!1,control:!1,alt:!1,meta:!1};return p.mouseListener=o(t,r),t.addEventListener(\"touchstart\",function(e){var n=l(e.changedTouches[0],t);r(0,n[0],n[1],g),r(1,n[0],n[1],g)}),t.addEventListener(\"touchmove\",function(e){var n=l(e.changedTouches[0],t);r(1,n[0],n[1],g)}),t.addEventListener(\"touchend\",function(){r(0,m,v,g)}),p.wheelListener=s(t,function(t,e){if(!1!==p.keyBindingMode){var r=p.flipX?1:-1,n=p.flipY?1:-1,a=i();if(Math.abs(t)>Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*p.rotateSpeed/window.innerWidth);else{var o=-p.zoomSpeed*n*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,h*(Math.exp(o)-1))}}},!0),p}e.exports=n;var i=t(\"right-now\"),a=t(\"3d-view\"),o=t(\"mouse-change\"),s=t(\"mouse-wheel\"),l=t(\"mouse-event-offset\")},{\"3d-view\":37,\"mouse-change\":452,\"mouse-event-offset\":453,\"mouse-wheel\":455,\"right-now\":502}],811:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../components/fx/layout_attributes\"),a=t(\"./scene\"),o=t(\"../plots\"),s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=o.getSubplotIds(e,\"gl3d\"),i=0;i<n.length;i++){var l=n[i],u=o.getSubplotData(r,\"gl3d\",l),c=e[l],h=c._scene;h||(h=new a({id:l,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),c._scene=h),h.cameraInitial||(h.cameraInitial=s.extendDeep({},c.camera)),h.plot(u,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=o.getSubplotIds(n,\"gl3d\"),a=0;a<i.length;a++){var s=i[a];!e[s]&&n[s]._scene&&(n[s]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+s).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=o.getSubplotIds(e,\"gl3d\"),n=e._size,i=0;i<r.length;i++){var a=e[r[i]],s=a.domain,u=a._scene,c=u.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*s.x[0],y:n.t+n.h*(1-s.y[1]),width:n.w*(s.x[1]-s.x[0]),height:n.h*(s.y[1]-s.y[0]),preserveAspectRatio:\"none\"}),u.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=o.getSubplotIds(t,\"gl3d\"),r=0;r<e.length;r++){t[e[r]]._scene.updateFx(t.dragmode,t.hovermode)}}},{\"../../components/fx/layout_attributes\":646,\"../../constants/xmlns_namespaces\":709,\"../../lib\":728,\"../../plot_api/edit_types\":756,\"../plots\":831,\"./layout/attributes\":812,\"./layout/defaults\":816,\"./layout/layout_attributes\":817,\"./scene\":821}],812:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],813:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),i=t(\"../../cartesian/layout_attributes\"),a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:i.title,titlefont:i.titlefont,type:i.type,autorange:i.autorange,rangemode:i.rangemode,range:i.range,tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,separatethousands:i.separatethousands,tickformat:i.tickformat,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth},\"plot\",\"from-root\")},{\"../../../components/color\":604,\"../../../lib/extend\":717,\"../../../plot_api/edit_types\":756,\"../../cartesian/layout_attributes\":783}],814:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../../lib\"),a=t(\"./axis_attributes\"),o=t(\"../../cartesian/type_defaults\"),s=t(\"../../cartesian/axis_defaults\"),l=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){function u(t,e){return i.coerce(c,h,a,t,e)}for(var c,h,f=0;f<l.length;f++){var 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a=t(\"../../../lib/html2unicode\"),o=t(\"../../../lib/str2rgbarray\"),s=[\"xaxis\",\"yaxis\",\"zaxis\"];n.prototype.merge=function(t){for(var e=this,r=0;r<3;++r){var n=t[s[r]];n.visible?(e.labels[r]=a(n.title),\"titlefont\"in n&&(n.titlefont.color&&(e.labelColor[r]=o(n.titlefont.color)),n.titlefont.family&&(e.labelFont[r]=n.titlefont.family),n.titlefont.size&&(e.labelSize[r]=n.titlefont.size)),\"showline\"in n&&(e.lineEnable[r]=n.showline),\"linecolor\"in n&&(e.lineColor[r]=o(n.linecolor)),\"linewidth\"in n&&(e.lineWidth[r]=n.linewidth),\"showgrid\"in n&&(e.gridEnable[r]=n.showgrid),\"gridcolor\"in n&&(e.gridColor[r]=o(n.gridcolor)),\"gridwidth\"in n&&(e.gridWidth[r]=n.gridwidth),\"log\"===n.type?e.zeroEnable[r]=!1:\"zeroline\"in n&&(e.zeroEnable[r]=n.zeroline),\"zerolinecolor\"in n&&(e.zeroLineColor[r]=o(n.zerolinecolor)),\"zerolinewidth\"in n&&(e.zeroLineWidth[r]=n.zerolinewidth),\"ticks\"in n&&n.ticks?e.lineTickEnable[r]=!0:e.lineTickEnable[r]=!1,\"ticklen\"in n&&(e.lineTickLength[r]=e._defaultLineTickLength[r]=n.ticklen),\"tickcolor\"in n&&(e.lineTickColor[r]=o(n.tickcolor)),\"tickwidth\"in n&&(e.lineTickWidth[r]=n.tickwidth),\"tickangle\"in n&&(e.tickAngle[r]=\"auto\"===n.tickangle?0:Math.PI*-n.tickangle/180),\"showticklabels\"in n&&(e.tickEnable[r]=n.showticklabels),\"tickfont\"in n&&(n.tickfont.color&&(e.tickColor[r]=o(n.tickfont.color)),n.tickfont.family&&(e.tickFont[r]=n.tickfont.family),n.tickfont.size&&(e.tickSize[r]=n.tickfont.size)),\"mirror\"in n?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(n.mirror)?(e.lineTickMirror[r]=!0,e.lineMirror[r]=!0):!0===n.mirror?(e.lineTickMirror[r]=!1,e.lineMirror[r]=!0):(e.lineTickMirror[r]=!1,e.lineMirror[r]=!1):e.lineMirror[r]=!1,\"showbackground\"in n&&!1!==n.showbackground?(e.backgroundEnable[r]=!0,e.backgroundColor[r]=o(n.backgroundcolor)):e.backgroundEnable[r]=!1):(e.tickEnable[r]=!1,e.labelEnable[r]=!1,e.lineEnable[r]=!1,e.lineTickEnable[r]=!1,e.gridEnable[r]=!1,e.zeroEnable[r]=!1,e.backgroundEnable[r]=!1)}},e.exports=i},{\"../../../lib/html2unicode\":726,\"../../../lib/str2rgbarray\":749}],816:[function(t,e,r){\"use strict\";function n(t,e,r,n){for(var i=r(\"bgcolor\"),s=a.combine(i,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],c=0;c<u.length;c++)r(\"camera.\"+u[c]+\".x\"),r(\"camera.\"+u[c]+\".y\"),r(\"camera.\"+u[c]+\".z\");var h=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),f=h?\"manual\":\"auto\",d=r(\"aspectmode\",f);h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode),l(t,e,{font:n.font,scene:n.id,data:n.fullData,bgColor:s,calendar:n.calendar}),o.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n),r(\"dragmode\",n.getDfltFromLayout(\"dragmode\")),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}var i=t(\"../../../lib\"),a=t(\"../../../components/color\"),o=t(\"../../../registry\"),s=t(\"../../subplot_defaults\"),l=t(\"./axis_defaults\"),u=t(\"./layout_attributes\");e.exports=function(t,e,r){function a(e){if(!o){return i.validate(t[e],u[e])?t[e]:void 0}}var o=e._basePlotModules.length>1;s(t,e,r,{type:\"gl3d\",attributes:u,handleDefaults:n,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:a,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":604,\"../../../lib\":728,\"../../../registry\":846,\"../../subplot_defaults\":838,\"./axis_defaults\":814,\"./layout_attributes\":817}],817:[function(t,e,r){\"use strict\";function n(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}var i=t(\"./axis_attributes\"),a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(n(0,0,1),{}),center:a(n(0,0,0),{}),eye:a(n(1.25,1.25,1.25),{}),editType:\"camera\"},domain:{x:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1,editType:\"plot\"},{valType:\"number\",min:0,max:1,editType:\"plot\"}],dflt:[0,1],editType:\"plot\"},y:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1,editType:\"plot\"},{valType:\"number\",min:0,max:1,editType:\"plot\"}],dflt:[0,1],editType:\"plot\"},editType:\"plot\"},aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:i,yaxis:i,zaxis:i,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],dflt:\"turntable\",editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":728,\"../../../lib/extend\":717,\"./axis_attributes\":813}],818:[function(t,e,r){\"use strict\";function n(){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]}function i(t){var e=new n;return e.merge(t),e}var a=t(\"../../../lib/str2rgbarray\"),o=[\"xaxis\",\"yaxis\",\"zaxis\"];n.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[o[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=a(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=i},{\"../../../lib/str2rgbarray\":749}],819:[function(t,e,r){\"use strict\";function n(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}function i(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,i=t.fullSceneLayout,c=[[],[],[]],h=0;h<3;++h){var f=i[l[h]];if(f._length=(r[h].hi-r[h].lo)*r[h].pixelsPerDataUnit/t.dataScale[h],Math.abs(f._length)===1/0)c[h]=[];else{f.range[0]=r[h].lo/t.dataScale[h],f.range[1]=r[h].hi/t.dataScale[h],f._m=1/(t.dataScale[h]*r[h].pixelsPerDataUnit),f.range[0]===f.range[1]&&(f.range[0]-=1,f.range[1]+=1);var d=f.tickmode;if(\"auto\"===f.tickmode){f.tickmode=\"linear\";var p=f.nticks||o.constrain(f._length/40,4,9);a.autoTicks(f,Math.abs(f.range[1]-f.range[0])/p)}for(var m=a.calcTicks(f),v=0;v<m.length;++v)m[v].x=m[v].x*t.dataScale[h],m[v].text=s(m[v].text);c[h]=m,f.tickmode=d}}e.ticks=c;for(var h=0;h<3;++h){u[h]=.5*(t.glplot.bounds[0][h]+t.glplot.bounds[1][h]);for(var v=0;v<2;++v)e.bounds[v][h]=t.glplot.bounds[v][h]}t.contourLevels=n(c)}e.exports=i;var a=t(\"../../cartesian/axes\"),o=t(\"../../../lib\"),s=t(\"../../../lib/html2unicode\"),l=[\"xaxis\",\"yaxis\",\"zaxis\"],u=[0,0,0]},{\"../../../lib\":728,\"../../../lib/html2unicode\":726,\"../../cartesian/axes\":772}],820:[function(t,e,r){\"use strict\";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}function i(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}e.exports=i},{}],821:[function(t,e,r){\"use strict\";function n(t){function e(e,r){var n=t.fullSceneLayout[e];return v.tickText(n,n.d2l(r),\"hover\").text}var r,n=t.svgContainer,i=t.container.getBoundingClientRect(),a=i.width,o=i.height;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+a+\" \"+o),n.setAttributeNS(null,\"width\",a),n.setAttributeNS(null,\"height\",o),k(t),t.glplot.axes.update(t.axesOptions);for(var s=Object.keys(t.traces),l=null,u=t.glplot.selection,c=0;c<s.length;++c)r=t.traces[s[c]],\"skip\"!==r.data.hoverinfo&&r.handlePick(u)&&(l=r),r.setContourLevels&&r.setContourLevels();var h;if(null!==l){var f=_(t.glplot.cameraParams,u.dataCoordinate);r=l.data;var d=u.index,p=g.castHoverinfo(r,t.fullLayout,d),m=e(\"xaxis\",u.traceCoordinate[0]),y=e(\"yaxis\",u.traceCoordinate[1]),b=e(\"zaxis\",u.traceCoordinate[2]);if(\"all\"!==p){var x=p.split(\"+\");-1===x.indexOf(\"x\")&&(m=void 0),-1===x.indexOf(\"y\")&&(y=void 0),-1===x.indexOf(\"z\")&&(b=void 0),-1===x.indexOf(\"text\")&&(u.textLabel=void 0),-1===x.indexOf(\"name\")&&(l.name=void 0)}t.fullSceneLayout.hovermode&&g.loneHover({x:(.5+.5*f[0]/f[3])*a,y:(.5-.5*f[1]/f[3])*o,xLabel:m,yLabel:y,zLabel:b,text:u.textLabel,name:l.name,color:g.castHoverOption(r,d,\"bgcolor\")||l.color,borderColor:g.castHoverOption(r,d,\"bordercolor\"),fontFamily:g.castHoverOption(r,d,\"font.family\"),fontSize:g.castHoverOption(r,d,\"font.size\"),fontColor:g.castHoverOption(r,d,\"font.color\")},{container:n,gd:t.graphDiv});var w={x:u.traceCoordinate[0],y:u.traceCoordinate[1],z:u.traceCoordinate[2],data:r._input,fullData:r,curveNumber:r.index,pointNumber:d};g.appendArrayPointValue(w,r,d);var M={points:[w]};u.buttons&&u.distance<5?t.graphDiv.emit(\"plotly_click\",M):t.graphDiv.emit(\"plotly_hover\",M),h=M}else g.loneUnhover(n),t.graphDiv.emit(\"plotly_unhover\",h);t.drawAnnotations(t)}function i(t,e,r,i){var a={canvas:r,gl:i,container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1};if(t.staticMode){if(!(h||(c=document.createElement(\"canvas\"),h=d({canvas:c,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");a.pixelRatio=t.pixelRatio,a.gl=h,a.canvas=c}try{t.glplot=f(a)}catch(e){b(t)}var o=function(t){if(!1!==t.fullSceneLayout.dragmode){var e={};e[t.id+\".camera\"]=u(t.camera),t.saveCamera(t.graphDiv.layout),t.graphDiv.emit(\"plotly_relayout\",e)}};if(t.glplot.canvas.addEventListener(\"mouseup\",o.bind(null,t)),t.glplot.canvas.addEventListener(\"wheel\",o.bind(null,t)),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",function(t){m.warn(\"Lost WebGL context.\"),t.preventDefault()}),!t.camera){var s=t.fullSceneLayout.camera;t.camera=x(t.container,{center:[s.center.x,s.center.y,s.center.z],\n",
       "eye:[s.eye.x,s.eye.y,s.eye.z],up:[s.up.x,s.up.y,s.up.z],zoomMin:.1,zoomMax:100,mode:\"orbit\"})}return t.glplot.camera=t.camera,t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=n.bind(null,t),t.traces={},!0}function a(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var a=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\",r.appendChild(a),this.svgContainer=a,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=w(e[this.id]),this.spikeOptions=M(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=p.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=p.getComponentMethod(\"annotations3d\",\"draw\"),i(this,e)}function o(t,e,r,n,i){for(var a,o=0;o<e.length;++o)if(Array.isArray(e[o]))for(var s=0;s<e[o].length;++s)a=t.d2l(e[o][s],0,i),!isNaN(a)&&isFinite(a)&&(n[0][r]=Math.min(n[0][r],a),n[1][r]=Math.max(n[1][r],a));else a=t.d2l(e[o],0,i),!isNaN(a)&&isFinite(a)&&(n[0][r]=Math.min(n[0][r],a),n[1][r]=Math.max(n[1][r],a))}function s(t,e,r){var n=t.fullSceneLayout;o(n.xaxis,e.x,0,r,e.xcalendar),o(n.yaxis,e.y,1,r,e.ycalendar),o(n.zaxis,e.z,2,r,e.zcalendar)}function l(t){return[[t.eye.x,t.eye.y,t.eye.z],[t.center.x,t.center.y,t.center.z],[t.up.x,t.up.y,t.up.z]]}function u(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]}}}var c,h,f=t(\"gl-plot3d\"),d=t(\"webgl-context\"),p=t(\"../../registry\"),m=t(\"../../lib\"),v=t(\"../../plots/cartesian/axes\"),g=t(\"../../components/fx\"),y=t(\"../../lib/str2rgbarray\"),b=t(\"../../lib/show_no_webgl_msg\"),x=t(\"./camera\"),_=t(\"./project\"),w=t(\"./layout/convert\"),M=t(\"./layout/spikes\"),k=t(\"./layout/tick_marks\"),A=a.prototype;A.recoverContext=function(){function t(){return r.isContextLost()?void requestAnimationFrame(t):i(e,e.fullLayout,n,r)?void e.plot.apply(e,e.plotArgs):void m.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")}var e=this,r=this.glplot.gl,n=this.glplot.canvas;this.glplot.dispose(),requestAnimationFrame(t)};var T=[\"xaxis\",\"yaxis\",\"zaxis\"];A.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,l,u,c=e[this.id],h=r[this.id];c.bgcolor?this.glplot.clearColor=y(c.bgcolor):this.glplot.clearColor=[0,0,0,0],this.glplot.snapToData=!0,this.fullLayout=e,this.fullSceneLayout=c,this.glplotLayout=c,this.axesOptions.merge(c),this.spikeOptions.merge(c),this.setCamera(c.camera),this.updateFx(c.dragmode,c.hovermode),this.glplot.update({}),this.setConvert(l),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<t.length;++a)n=t[a],!0===n.visible&&s(this,n,f);var d=[1,1,1];for(o=0;o<3;++o)f[0][o]>f[1][o]?d[o]=1:f[1][o]===f[0][o]?d[o]=1:d[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=d,this.convertAnnotations(this),a=0;a<t.length;++a)n=t[a],!0===n.visible&&(i=this.traces[n.uid],i?i.update(n):(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<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&!0===t[o].visible)continue t;i=this.traces[p[a]],i.dispose(),delete this.traces[p[a]]}this.glplot.objects.sort(function(t,e){return t._trace.data.index-e._trace.data.index});var m=[[0,0,0],[0,0,0]],v=[],g={};for(a=0;a<3;++a){if(l=c[T[a]],u=l.type,u in g?(g[u].acc*=d[a],g[u].count+=1):g[u]={acc:d[a],count:1},l.autorange){m[0][a]=1/0,m[1][a]=-1/0;var b=this.glplot.objects,x=this.fullSceneLayout.annotations||[],_=l._name.charAt(0);for(o=0;o<b.length;o++){var w=b[o].bounds;m[0][a]=Math.min(m[0][a],w[0][a]/d[a]),m[1][a]=Math.max(m[1][a],w[1][a]/d[a])}for(o=0;o<x.length;o++){var M=x[o];if(M.visible){var k=l.r2l(M[_]);m[0][a]=Math.min(m[0][a],k),m[1][a]=Math.max(m[1][a],k)}}if(\"rangemode\"in l&&\"tozero\"===l.rangemode&&(m[0][a]=Math.min(m[0][a],0),m[1][a]=Math.max(m[1][a],0)),m[0][a]>m[1][a])m[0][a]=-1,m[1][a]=1;else{var A=m[1][a]-m[0][a];m[0][a]-=A/32,m[1][a]+=A/32}}else{var S=l.range;m[0][a]=l.r2l(S[0]),m[1][a]=l.r2l(S[1])}m[0][a]===m[1][a]&&(m[0][a]-=1,m[1][a]+=1),v[a]=m[1][a]-m[0][a],this.glplot.bounds[0][a]=m[0][a]*d[a],this.glplot.bounds[1][a]=m[1][a]*d[a]}var E=[1,1,1];for(a=0;a<3;++a){l=c[T[a]],u=l.type;var L=g[u];E[a]=Math.pow(L.acc,1/L.count)/d[a]}var C;if(\"auto\"===c.aspectmode)C=Math.max.apply(null,E)/Math.min.apply(null,E)<=4?E:[1,1,1];else if(\"cube\"===c.aspectmode)C=[1,1,1];else if(\"data\"===c.aspectmode)C=E;else{if(\"manual\"!==c.aspectmode)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var 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f=h.getContext(\"2d\"),d=f.createImageData(r,n);d.data.set(i),f.putImageData(d,0,0);var p;switch(t){case\"jpeg\":p=h.toDataURL(\"image/jpeg\");break;case\"webp\":p=h.toDataURL(\"image/webp\");break;default:p=h.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(c),p},A.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[T[t]];v.setConvert(e,this.fullLayout),e.setScale=m.noop}},e.exports=a},{\"../../components/fx\":645,\"../../lib\":728,\"../../lib/show_no_webgl_msg\":747,\"../../lib/str2rgbarray\":749,\"../../plots/cartesian/axes\":772,\"../../registry\":846,\"./camera\":810,\"./layout/convert\":815,\"./layout/spikes\":818,\"./layout/tick_marks\":819,\"./project\":820,\"gl-plot3d\":221,\"webgl-context\":563}],822:[function(t,e,r){\"use strict\";var n=t(\"./font_attributes\"),i=t(\"../components/color/attributes\"),a=n({editType:\"calc\"});a.family.dflt='\"Open Sans\", verdana, arial, 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strict\";e.exports={styleUrlPrefix:\"mapbox://styles/mapbox/\",styleUrlSuffix:\"v9\",controlContainerClassName:\"mapboxgl-control-container\",noAccessTokenErrorMsg:[\"Missing Mapbox access token.\",\"Mapbox trace type require a Mapbox access token to be registered.\",\"For example:\",\"  Plotly.plot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });\",\"More info here: https://www.mapbox.com/help/define-access-token/\"].join(\"\\n\"),mapOnErrorMsg:\"Mapbox error.\"}},{}],824:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=t.split(\" \"),i=r[0],a=r[1],o=Array.isArray(e)?n.mean(e):e,s=.5+o/100,l=1.5+o/100,u=[\"\",\"\"],c=[0,0];switch(i){case\"top\":u[0]=\"top\",c[1]=-l;break;case\"bottom\":u[0]=\"bottom\",c[1]=l}switch(a){case\"left\":u[1]=\"right\",c[0]=-s;break;case\"right\":u[1]=\"left\",c[0]=s}var h;return h=u[0]&&u[1]?u.join(\"-\"):u[0]?u[0]:u[1]?u[1]:\"center\",{anchor:h,offset:c}}},{\"../../lib\":728}],825:[function(t,e,r){\"use 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h=s[c],f=o.getSubplotCalcData(r,\"mapbox\",h),d=e[h],p=d._subplot;d.accesstoken=u,p||(p=l({gd:t,container:e._glcontainer.node(),id:h,fullLayout:e,staticPlot:t._context.staticPlot}),e[h]._subplot=p),p.viewInitial||(p.viewInitial={center:a.extendFlat({},d.center),zoom:d.zoom,bearing:d.bearing,pitch:d.pitch}),p.plot(f,e,t._promises)}},r.clean=function(t,e,r,n){for(var i=o.getSubplotIds(n,\"mapbox\"),a=0;a<i.length;a++){var s=i[a];!e[s]&&n[s]._subplot&&n[s]._subplot.destroy()}},r.toSVG=function(t){for(var e=t._fullLayout,r=o.getSubplotIds(e,\"mapbox\"),n=e._size,i=0;i<r.length;i++){var a=e[r[i]],l=a.domain,u=a._subplot,c=u.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:s.svg,\"xlink:href\":c,x:n.l+n.w*l.x[0],y:n.t+n.h*(1-l.y[1]),width:n.w*(l.x[1]-l.x[0]),height:n.h*(l.y[1]-l.y[0]),preserveAspectRatio:\"none\"}),u.destroy()}},r.updateFx=function(t){for(var e=o.getSubplotIds(t,\"mapbox\"),r=0;r<e.length;r++){t[e[r]]._subplot.updateFx(t)}}},{\"../../constants/xmlns_namespaces\":709,\"../../lib\":728,\"../plots\":831,\"./constants\":823,\"./layout_attributes\":827,\"./layout_defaults\":828,\"./mapbox\":829,\"mapbox-gl\":343}],826:[function(t,e,r){\"use strict\";function n(t,e){this.mapbox=t,this.map=t.map,this.uid=t.uid+\"-layer\"+e,this.idSource=this.uid+\"-source\",this.idLayer=this.uid+\"-layer\",this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}function i(t){var e=t.source;return s.isPlainObject(e)||\"string\"==typeof e&&e.length>0}function a(t){var e={},r={};switch(t.type){case\"circle\":s.extendFlat(r,{\"circle-radius\":t.circle.radius,\"circle-color\":t.color,\"circle-opacity\":t.opacity});break;case\"line\":s.extendFlat(r,{\"line-width\":t.line.width,\"line-color\":t.color,\"line-opacity\":t.opacity});break;case\"fill\":s.extendFlat(r,{\"fill-color\":t.color,\"fill-outline-color\":t.fill.outlinecolor,\"fill-opacity\":t.opacity});break;case\"symbol\":var n=t.symbol,i=l(n.textposition,n.iconsize);s.extendFlat(e,{\"icon-image\":n.icon+\"-15\",\"icon-size\":n.iconsize/10,\"text-field\":n.text,\"text-size\":n.textfont.size,\"text-anchor\":i.anchor,\"text-offset\":i.offset}),s.extendFlat(r,{\"icon-color\":t.color,\"text-color\":n.textfont.color,\"text-opacity\":t.opacity})}return{layout:e,paint:r}}function o(t){var e,r=t.sourcetype,n=t.source,i={type:r},a=\"string\"==typeof n;return\"geojson\"===r?e=\"data\":\"vector\"===r&&(e=a?\"url\":\"tiles\"),i[e]=n,i}var s=t(\"../../lib\"),l=t(\"./convert_text_opts\"),u=n.prototype;u.update=function(t){this.visible?this.needsNewSource(t)?(this.updateLayer(t),this.updateSource(t)):this.needsNewLayer(t)&&this.updateLayer(t):(this.updateSource(t),this.updateLayer(t)),this.updateStyle(t),this.visible=i(t)},u.needsNewSource=function(t){return this.sourceType!==t.sourcetype||this.source!==t.source||this.layerType!==t.type},u.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==t.below},u.updateSource=function(t){var e=this.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,i(t)){var r=o(t);e.addSource(this.idSource,r)}},u.updateLayer=function(t){var e=this.map;if(e.getLayer(this.idLayer)&&e.removeLayer(this.idLayer),this.layerType=t.type,i(t)){e.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":t.sourcelayer||\"\",type:t.type},t.below);var r={visibility:\"visible\"};this.mapbox.setOptions(this.idLayer,\"setLayoutProperty\",r)}},u.updateStyle=function(t){var e=a(t);i(t)&&(this.mapbox.setOptions(this.idLayer,\"setLayoutProperty\",e.layout),this.mapbox.setOptions(this.idLayer,\"setPaintProperty\",e.paint))},u.dispose=function(){var t=this.map;t.removeLayer(this.idLayer),t.removeSource(this.idSource)},e.exports=function(t,e,r){var i=new n(t,e);return i.update(r),i}},{\"../../lib\":728,\"./convert_text_opts\":824}],827:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\").defaultLine,a=t(\"../font_attributes\"),o=t(\"../../traces/scatter/attributes\").textposition,s=t(\"../../plot_api/edit_types\").overrideAll,l=a({});l.family.dflt=\"Open Sans Regular, Arial Unicode MS 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a=t(\"../../lib\"),o=t(\"../subplot_defaults\"),s=t(\"./layout_attributes\");e.exports=function(t,e,r){o(t,e,r,{type:\"mapbox\",attributes:s,handleDefaults:n,partition:\"y\"})}},{\"../../lib\":728,\"../subplot_defaults\":838,\"./layout_attributes\":827}],829:[function(t,e,r){\"use strict\";function n(t){this.id=t.id,this.gd=t.gd,this.container=t.container,this.isStatic=t.staticPlot;var e=t.fullLayout;this.uid=e._uid+\"-\"+this.id,this.opts=e[this.id],this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(e),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[]}function i(t){var e=d.style.values,r=d.style.dflt,n={};return u.isPlainObject(t)?(n.id=t.id,n.style=t):\"string\"==typeof t?(n.id=t,n.style=-1!==e.indexOf(t)?a(t):t):(n.id=r,n.style=a(r)),n}function a(t){return f.styleUrlPrefix+t+\"-\"+f.styleUrlSuffix}function o(t){return[t.lon,t.lat]}var 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n=t(\"../../../components/color/attributes\"),i=t(\"./axis_attributes\"),a=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=a({domain:{x:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]},y:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]}},bgcolor:{valType:\"color\",dflt:n.background},sum:{valType:\"number\",dflt:1,min:0},aaxis:i,baxis:i,caxis:i},\"plot\",\"from-root\")},{\"../../../components/color/attributes\":603,\"../../../plot_api/edit_types\":756,\"./axis_attributes\":841}],845:[function(t,e,r){\"use strict\";function n(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e)}function i(t){a.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}var 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w=b.MINZOOM/2+.87,M=\"m-0.87,.5h\"+w+\"v3h-\"+(w+5.2)+\"l\"+(w/2+2.6)+\",-\"+(.87*w+4.5)+\"l2.6,1.5l-\"+w/2+\",\"+.87*w+\"Z\",k=\"m0.87,.5h-\"+w+\"v3h\"+(w+5.2)+\"l-\"+(w/2+2.6)+\",-\"+(.87*w+4.5)+\"l-2.6,1.5l\"+w/2+\",\"+.87*w+\"Z\",A=\"m0,1l\"+w/2+\",\"+.87*w+\"l2.6,-1.5l-\"+(w/2+2.6)+\",-\"+(.87*w+4.5)+\"l-\"+(w/2+2.6)+\",\"+(.87*w+4.5)+\"l2.6,1.5l\"+w/2+\",-\"+.87*w+\"Z\",T=!0;x.initInteractions=function(){function t(t,e,r){var n=F.getBoundingClientRect();w=e-n.left,S=r-n.top,E={a:R.aaxis.range[0],b:R.baxis.range[1],c:R.caxis.range[1]},C=E,L=R.aaxis.range[1]-E.a,I=o(R.graphDiv._fullLayout[R.id].bgcolor).getLuminance(),z=\"M0,\"+R.h+\"L\"+R.w/2+\", 0L\"+R.w+\",\"+R.h+\"Z\",D=!1,P=N.append(\"path\").attr(\"class\",\"zoombox\").attr(\"transform\",\"translate(\"+R.x0+\", \"+R.y0+\")\").style({fill:I>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"d\",z),O=N.append(\"path\").attr(\"class\",\"zoombox-corners\").attr(\"transform\",\"translate(\"+R.x0+\", 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i=n.traces[e];i&&d(r.modules[e]._module.attributes,i)}}function a(t,e){var n=r.componentsRegistry[t].schema;if(n&&n.transforms){var i=n.transforms[e];i&&d(r.transformsRegistry[e].attributes,i)}}function o(t,e){var n=r.componentsRegistry[t].schema;if(n&&n.subplots){var i=r.subplotsRegistry[e],a=i.layoutAttributes,o=\"subplot\"===i.attr?i.name:i.attr;Array.isArray(o)&&(o=o[0]);var s=n.subplots[o];a&&s&&d(a,s)}}function s(t){return\"object\"==typeof t&&(t=t.type),t}var l=t(\"./lib/loggers\"),u=t(\"./lib/noop\"),c=t(\"./lib/push_unique\"),h=t(\"./lib/extend\"),f=h.extendFlat,d=h.extendDeepAll,p=t(\"./plots/attributes\"),m=t(\"./plots/layout_attributes\");r.modules={},r.allCategories={},r.allTypes=[],r.subplotsRegistry={},r.transformsRegistry={},r.componentsRegistry={},r.layoutArrayContainers=[],r.layoutArrayRegexes=[],r.traceLayoutAttributes={},r.register=function(t,e,n,a){if(r.modules[e])return void l.log(\"Type \"+e+\" already registered\");for(var 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v._infolayer.selectAll(\".cb\"+d).remove();\"heatmap\"===f.coloring?(s.zauto&&!1===s.autocontour&&(s._input.zmin=s.zmin=f.start-f.size/2,s._input.zmax=s.zmax=s.zmin+_.length*f.size),y(t,e,[n])):(v._paper.selectAll(\".hm\"+d).remove(),v._infolayer.selectAll(\"g.rangeslider-container\").selectAll(\".hm\"+d).remove()),b(_),x(_);var w=p.c2p(u[0],!0),M=p.c2p(u[u.length-1],!0),k=m.c2p(h[0],!0),A=m.c2p(h[h.length-1],!0),T=[[w,A],[M,A],[M,k],[w,k]],S=r.makeContourGroup(e,n,g);a(S,T,f),o(S,_,T,f),l(S,_,t,n[0],f,T),c(S,e,v._clips,n[0],T)}function i(t,e,r){for(var n=t.size,i=[],a=_(t),o=t.start;o<a;o+=n)if(i.push({level:o,crossings:{},starts:[],edgepaths:[],paths:[],xaxis:e.xaxis,yaxis:e.yaxis,x:r.x,y:r.y,z:r.z,smoothing:r.trace.line.smoothing}),i.length>1e3){d.warn(\"Too many contours, clipping at 1000\",t);break}return i}function a(t,e,r){var n=t.selectAll(\"g.contourbg\").data([0]);n.enter().append(\"g\").classed(\"contourbg\",!0);var 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val(pB, dim1B) + val(pC, dim1C) + val(pD, dim1D));\\n\\n    vec2 dimensionToggle = vec2(x, 1.0 - x);\\n\\n    vec2 scatterToggle = vec2(scatter, 1.0 - scatter);\\n\\n    float y = dot(yy, dimensionToggle);\\n    mat2 xy = mat2(viewBoxSize * yy + dimensionToggle, viewBoxSize * vec2(x, y));\\n\\n    vec2 viewBoxXY = viewBoxPosition + xy * scatterToggle;\\n\\n    float depthOrHide = depth + 2.0 * (1.0 - show);\\n\\n    gl_Position = vec4(\\n        xyProjection * (2.0 * viewBoxXY / resolution - 1.0),\\n        depthOrHide,\\n        1.0\\n    );\\n\\n    // pick coloring\\n    fragColor = vec4(pf.rgb, 1.0);\\n}\\n\":\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 p0, p1, p2, p3,\\n               p4, p5, p6, p7,\\n               p8, p9, pa, pb,\\n               pc, pd, pe;\\n\\nattribute vec4 pf;\\n\\nuniform mat4 dim1A, dim2A, dim1B, dim2B, dim1C, dim2C, dim1D, dim2D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution,\\n             viewBoxPosition,\\n             viewBoxSize;\\n\\nuniform sampler2D palette;\\n\\nuniform vec2 colorClamp;\\n\\nuniform float scatter;\\n\\nvarying vec4 fragColor;\\n\\nvec4 zero = vec4(0, 0, 0, 0);\\nvec4 unit = vec4(1, 1, 1, 1);\\nvec2 xyProjection = vec2(1, 1);\\n\\nmat4 mclamp(mat4 m, mat4 lo, mat4 hi) {\\n    return mat4(clamp(m[0], lo[0], hi[0]),\\n                clamp(m[1], lo[1], hi[1]),\\n                clamp(m[2], lo[2], hi[2]),\\n                clamp(m[3], lo[3], hi[3]));\\n}\\n\\nbool mshow(mat4 p, mat4 lo, mat4 hi) {\\n    return mclamp(p, lo, hi) == p;\\n}\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * unit, unit);\\n}\\n\\nvoid main() {\\n\\n    float x = 0.5 * sign(pf[3]) + 0.5;\\n    float prominence = abs(pf[3]);\\n    float depth = 1.0 - prominence;\\n\\n    mat4 pA = mat4(p0, p1, p2, p3);\\n    mat4 pB = mat4(p4, p5, p6, p7);\\n    mat4 pC = mat4(p8, p9, pa, pb);\\n    mat4 pD = mat4(pc, pd, pe, abs(pf));\\n\\n    float show = float(mshow(pA, loA, hiA) &&\\n                       mshow(pB, loB, hiB) &&\\n                       mshow(pC, loC, hiC) &&\\n                       mshow(pD, loD, hiD));\\n\\n    vec2 yy = show * vec2(val(pA, dim2A) + val(pB, dim2B) + val(pC, dim2C) + val(pD, dim2D),\\n                          val(pA, dim1A) + val(pB, dim1B) + val(pC, dim1C) + val(pD, dim1D));\\n\\n    vec2 dimensionToggle = vec2(x, 1.0 - x);\\n\\n    vec2 scatterToggle = vec2(scatter, 1.0 - scatter);\\n\\n    float y = dot(yy, dimensionToggle);\\n    mat2 xy = mat2(viewBoxSize * yy + dimensionToggle, viewBoxSize * vec2(x, y));\\n\\n    vec2 viewBoxXY = viewBoxPosition + xy * scatterToggle;\\n\\n    float depthOrHide = depth + 2.0 * (1.0 - show);\\n\\n    gl_Position = vec4(\\n        xyProjection * (2.0 * viewBoxXY / resolution - 1.0),\\n        depthOrHide,\\n        1.0\\n    );\\n\\n    // visible coloring\\n    float clampedColorIndex = clamp((prominence - colorClamp[0]) / (colorClamp[1] - colorClamp[0]), 0.0, 1.0);\\n    fragColor = texture2D(palette, vec2((clampedColorIndex * 255.0 + 0.5) / 256.0, 0.5));\\n}\\n\",frag:\"precision lowp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\",primitive:\"lines\",lineWidth:1,attributes:P,uniforms:{resolution:O.prop(\"resolution\"),viewBoxPosition:O.prop(\"viewBoxPosition\"),viewBoxSize:O.prop(\"viewBoxSize\"),dim1A:O.prop(\"dim1A\"),dim2A:O.prop(\"dim2A\"),dim1B:O.prop(\"dim1B\"),dim2B:O.prop(\"dim2B\"),dim1C:O.prop(\"dim1C\"),dim2C:O.prop(\"dim2C\"),dim1D:O.prop(\"dim1D\"),dim2D:O.prop(\"dim2D\"),loA:O.prop(\"loA\"),hiA:O.prop(\"hiA\"),loB:O.prop(\"loB\"),hiB:O.prop(\"hiB\"),loC:O.prop(\"loC\"),hiC:O.prop(\"hiC\"),loD:O.prop(\"loD\"),hiD:O.prop(\"hiD\"),palette:R,colorClamp:O.prop(\"colorClamp\"),scatter:O.prop(\"scatter\")},offset:O.prop(\"offset\"),count:O.prop(\"count\")}),j=[0,1],N=[];return{setColorDomain:y,render:x,readPixel:w,readPixels:M,destroy:O.destroy}}},{\"./constants\":1001,regl:499}],1005:[function(t,e,r){\"use strict\";function n(t){return t.key}function i(t){return[t]}function a(t){return!(\"visible\"in t)||t.visible}function o(t){var e=t.range?t.range[0]:w.min(t.values),r=t.range?t.range[1]:w.max(t.values);return!isNaN(e)&&isFinite(e)||(e=0),!isNaN(r)&&isFinite(r)||(r=0),e===r&&(void 0===e?(e=0,r=1):0===e?(e-=1,r+=1):(e*=.9,r*=1.1)),[e,r]}function s(t,e){var r,n,i,a,o;for(r=0,n=t.range(),i=1/0,a=n[0],o;r<n.length;r++){if((o=Math.abs(n[r]-e))>i)return a;i=o,a=n[r]}return n[n.length-1]}function l(t,e){return function(r,n){if(e){var i=e[n];return null===i||void 0===i?t(r):i}return t(r)}}function u(t,e,r){var n=o(r),i=r.ticktext;return r.tickvals?w.scale.ordinal().domain(r.tickvals.map(l(w.format(r.tickformat),i))).range(r.tickvals.map(function(t){return(t-n[0])/(n[1]-n[0])}).map(function(r){return t-e+r*(e-(t-e))})):w.scale.linear().domain(n).range([t-e,e])}function c(t,e){return w.scale.linear().range([t-e,e])}function h(t){return w.scale.linear().domain(o(t))}function f(t){var e=o(t);return t.tickvals&&w.scale.ordinal().domain(t.tickvals).range(t.tickvals.map(function(t){return(t-e[0])/(e[1]-e[0])}))}function d(t){var e=t.map(function(t){return t[0]}),r=t.map(function(t){return t[1]}),n=r.map(function(t){return w.rgb(t)}),i=function(t){return function(e){return e[t]}},a=\"rgb\".split(\"\").map(function(t){return w.scale.linear().clamp(!0).domain(e).range(n.map(i(t)))});return function(t){return a.map(function(e){return e(t)})}}function p(t){return t[0]}function m(t,e,r){var n=p(e),i=n.trace,o=n.lineColor,s=n.cscale,l=i.line,u=i.domain,c=i.dimensions,f=t.width,m=i.labelfont,v=i.tickfont,g=i.rangefont,y=_.extendDeep({},l,{color:o.map(h({values:o,range:[l.cmin,l.cmax]})),blockLineCount:x.blockLineCount,canvasOverdrag:x.overdrag*x.canvasPixelRatio}),b=Math.floor(f*(u.x[1]-u.x[0])),w=Math.floor(t.height*(u.y[1]-u.y[0])),M=t.margin||{l:80,r:80,t:100,b:80},k=b,A=w;return{key:r,colCount:c.filter(a).length,dimensions:c,tickDistance:x.tickDistance,unitToColor:d(s),lines:y,labelFont:m,tickFont:v,rangeFont:g,translateX:u.x[0]*f,translateY:t.height-u.y[1]*t.height,pad:M,canvasWidth:k*x.canvasPixelRatio+2*y.canvasOverdrag,canvasHeight:A*x.canvasPixelRatio,width:k,height:A,canvasPixelRatio:x.canvasPixelRatio}}function v(t){var e=t.width,r=t.height,n=t.dimensions,i=t.canvasPixelRatio,o=function(r){return e*r/Math.max(1,t.colCount-1)},s=x.verticalPadding/(r*i),l=1-2*s,d=function(t){return s+l*t},p={key:t.key,xScale:o,model:t},m={};return p.dimensions=n.filter(a).map(function(e,n){var a=h(e),s=m[e.label];return m[e.label]=(s||0)+1,{key:e.label+(s?\"__\"+s:\"\"),label:e.label,tickFormat:e.tickformat,tickvals:e.tickvals,ticktext:e.ticktext,ordinal:!!e.tickvals,scatter:x.scatter||e.scatter,xIndex:n,crossfilterDimensionIndex:n,visibleIndex:e._index,height:r,values:e.values,paddedUnitValues:e.values.map(a).map(d),xScale:o,x:o(n),canvasX:o(n)*i,unitScale:c(r,x.verticalPadding),domainScale:u(r,x.verticalPadding,e),ordinalScale:f(e),domainToUnitScale:a,filter:e.constraintrange?e.constraintrange.map(a):[0,1],parent:p,model:t}}),p}function g(t){return x.layers.map(function(e){return{key:e,context:\"contextLineLayer\"===e,pick:\"pickLineLayer\"===e,viewModel:t,model:t.model}})}function y(t){t.classed(\"axisExtentText\",!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"default\").style(\"user-select\",\"none\")}var b=t(\"./lines\"),x=t(\"./constants\"),_=t(\"../../lib\"),w=t(\"d3\"),M=t(\"../../components/drawing\");e.exports=function(t,e,r,a,o){function l(t){var e=t.selectAll(\"defs\").data(i,n);e.enter().append(\"defs\");var r=e.selectAll(\"#filterBarPattern\").data(i,n);r.enter().append(\"pattern\").attr(\"id\",\"filterBarPattern\").attr(\"patternUnits\",\"userSpaceOnUse\"),r.attr(\"x\",-x.bar.width).attr(\"width\",x.bar.capturewidth).attr(\"height\",function(t){return t.model.height});var a=r.selectAll(\"rect\").data(i,n);a.enter().append(\"rect\").attr(\"shape-rendering\",\"crispEdges\"),a.attr(\"height\",function(t){return t.model.height}).attr(\"width\",x.bar.width).attr(\"x\",x.bar.width/2).attr(\"fill\",x.bar.fillcolor).attr(\"fill-opacity\",x.bar.fillopacity).attr(\"stroke\",x.bar.strokecolor).attr(\"stroke-opacity\",x.bar.strokeopacity).attr(\"stroke-width\",x.bar.strokewidth)}function u(t){return t.dimensions.some(function(t){return 0!==t.filter[0]||1!==t.filter[1]})}function c(t,e){for(var r=e.panels||(e.panels=[]),n=t.each(function(t){return t})[e.key].map(function(t){return t.__data__}),i=n.length-1,a=0;a<1;a++)for(var o=0;o<i;o++){var s=r[o+a*i]||(r[o+a*i]={}),l=n[o],u=n[o+1];s.dim1=l,s.dim2=u,s.canvasX=l.canvasX,s.panelSizeX=u.canvasX-l.canvasX,s.panelSizeY=e.model.canvasHeight/1,s.y=a*s.panelSizeY,s.canvasY=e.model.canvasHeight-s.y-s.panelSizeY}}function h(t,e){for(var r=e.panels||(e.panels=[]),n=t.each(function(t){return t})[e.key].map(function(t){return t.__data__}),i=n.length-1,a=i,o=0;o<i;o++)for(var s=0;s<i;s++){var l=r[s+o*i]||(r[s+o*i]={}),u=n[s],c=n[s+1];l.dim1=n[o+1],l.dim2=c,l.canvasX=u.canvasX,l.panelSizeX=c.canvasX-u.canvasX,l.panelSizeY=e.model.canvasHeight/a,l.y=o*l.panelSizeY,l.canvasY=e.model.canvasHeight-l.y-l.panelSizeY}}function f(t,e){return(x.scatter?h:c)(t,e)}function d(t){return t.ordinal?function(){return\"\"}:w.format(t.tickFormat)}function _(){W=!0,T=!0}function k(t){S=!1;var e=t.parent,r=t.brush.extent(),n=e.dimensions,i=n[t.xIndex].filter,a=W&&r[0]===r[1];a&&(t.brush.clear(),w.select(this).select(\"rect.extent\").attr(\"y\",-100));var o=a?[0,1]:r.slice();if(o[0]!==i[0]||o[1]!==i[1]){n[t.xIndex].filter=o,e.focusLineLayer&&e.focusLineLayer.render(e.panels,!0);var s=u(e);!X&&s?(e.contextLineLayer&&e.contextLineLayer.render(e.panels,!0),X=!0):X&&!s&&(e.contextLineLayer&&e.contextLineLayer.render(e.panels,!0,!0),X=!1)}W=!1}function A(t){var e=t.parent,r=t.brush.extent(),n=r[0]===r[1],i=e.dimensions,a=i[t.xIndex].filter;if(!n&&t.ordinal&&(a[0]=s(t.ordinalScale,a[0]),a[1]=s(t.ordinalScale,a[1]),a[0]===a[1]&&(a[0]=Math.max(0,a[0]-.05),a[1]=Math.min(1,a[1]+.05)),w.select(this).transition().duration(150).call(t.brush.extent(a)),e.focusLineLayer.render(e.panels,!0)),e.pickLineLayer&&e.pickLineLayer.render(e.panels,!0),S=!0,T=\"ending\",o&&o.filterChanged){var l=t.domainToUnitScale.invert,u=a.map(l);o.filterChanged(e.key,t.visibleIndex,u)}}var T=!1,S=!0,E=r.filter(function(t){return p(t).trace.visible}).map(m.bind(0,a)).map(v);t.selectAll(\".parcoords-line-layers\").remove();var L=t.selectAll(\".parcoords-line-layers\").data(E,n);L.enter().insert(\"div\",\".\"+e.attr(\"class\").split(\" \").join(\" .\")).classed(\"parcoords-line-layers\",!0).style(\"box-sizing\",\"content-box\"),L.style(\"transform\",function(t){return\"translate(\"+(t.model.translateX-x.overdrag)+\"px,\"+t.model.translateY+\"px)\"});var C=L.selectAll(\".parcoords-lines\").data(g,n),I={renderers:[],dimensions:[]},z=null;C.enter().append(\"canvas\").attr(\"class\",function(t){return\"parcoords-lines \"+(t.context?\"context\":t.pick?\"pick\":\"focus\")}).style(\"box-sizing\",\"content-box\").style(\"float\",\"left\").style(\"clear\",\"both\").style(\"left\",0).style(\"overflow\",\"visible\").style(\"position\",function(t,e){return\"absolute\"}).filter(function(t){return t.pick}).on(\"mousemove\",function(t){if(S&&t.lineLayer&&o&&o.hover){var e=w.event,r=this.width,n=this.height,i=w.mouse(this),a=i[0],s=i[1];if(a<0||s<0||a>=r||s>=n)return;var l=t.lineLayer.readPixel(a,n-1-s),u=0!==l[3],c=u?l[2]+256*(l[1]+256*l[0]):null,h={x:a,y:s,clientX:e.clientX,clientY:e.clientY,dataIndex:t.model.key,curveNumber:c};c!==z&&(u?o.hover(h):o.unhover&&o.unhover(h),z=c)}}),C.style(\"margin\",function(t){var e=t.model.pad;return e.t+\"px \"+e.r+\"px \"+e.b+\"px \"+e.l+\"px\"}).attr(\"width\",function(t){return t.model.canvasWidth}).attr(\"height\",function(t){return t.model.canvasHeight}).style(\"width\",function(t){return t.model.width+2*x.overdrag+\"px\"}).style(\"height\",function(t){return t.model.height+\"px\"}).style(\"opacity\",function(t){return t.pick?.01:1}),e.style(\"background\",\"rgba(255, 255, 255, 0)\");var D=e.selectAll(\".parcoords\").data(E,n);D.exit().remove(),D.enter().append(\"g\").classed(\"parcoords\",!0).attr(\"overflow\",\"visible\").style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"overflow\",\"visible\").style(\"shape-rendering\",\"crispEdges\").style(\"pointer-events\",\"none\").call(l),D.attr(\"width\",function(t){return t.model.width+t.model.pad.l+t.model.pad.r}).attr(\"height\",function(t){return t.model.height+t.model.pad.t+t.model.pad.b\n",
       "}).attr(\"transform\",function(t){return\"translate(\"+t.model.translateX+\",\"+t.model.translateY+\")\"});var P=D.selectAll(\".parcoordsControlView\").data(i,n);P.enter().append(\"g\").classed(\"parcoordsControlView\",!0).style(\"box-sizing\",\"content-box\"),P.attr(\"transform\",function(t){return\"translate(\"+t.model.pad.l+\",\"+t.model.pad.t+\")\"});var O=P.selectAll(\".yAxis\").data(function(t){return t.dimensions},n);O.enter().append(\"g\").classed(\"yAxis\",!0).each(function(t){I.dimensions.push(t)}),P.each(function(t){f(O,t)}),C.each(function(t){t.lineLayer=b(this,t.model.lines,t.model.canvasWidth,t.model.canvasHeight,t.viewModel.dimensions,t.viewModel.panels,t.model.unitToColor,t.context,t.pick,x.scatter),t.viewModel[t.key]=t.lineLayer,I.renderers.push(function(){t.lineLayer.render(t.viewModel.panels,!0)}),t.lineLayer.render(t.viewModel.panels,!t.context)}),O.attr(\"transform\",function(t){return\"translate(\"+t.xScale(t.xIndex)+\", 0)\"}),O.call(w.behavior.drag().origin(function(t){return t}).on(\"drag\",function(t){var e=t.parent;S=!1,T||(t.x=Math.max(-x.overdrag,Math.min(t.model.width+x.overdrag,w.event.x)),t.canvasX=t.x*t.model.canvasPixelRatio,O.sort(function(t,e){return t.x-e.x}).each(function(e,r){e.xIndex=r,e.x=t===e?e.x:e.xScale(e.xIndex),e.canvasX=e.x*e.model.canvasPixelRatio}),f(O,e),O.filter(function(e){return 0!==Math.abs(t.xIndex-e.xIndex)}).attr(\"transform\",function(t){return\"translate(\"+t.xScale(t.xIndex)+\", 0)\"}),w.select(this).attr(\"transform\",\"translate(\"+t.x+\", 0)\"),O.each(function(r,n,i){i===t.parent.key&&(e.dimensions[n]=r)}),e.contextLineLayer&&e.contextLineLayer.render(e.panels,!1,!u(e)),e.focusLineLayer.render&&e.focusLineLayer.render(e.panels))}).on(\"dragend\",function(t){var e=t.parent;if(T)return void(\"ending\"===T&&(T=!1));t.x=t.xScale(t.xIndex),t.canvasX=t.x*t.model.canvasPixelRatio,f(O,e),w.select(this).attr(\"transform\",function(t){return\"translate(\"+t.x+\", 0)\"}),e.contextLineLayer&&e.contextLineLayer.render(e.panels,!1,!u(e)),e.focusLineLayer&&e.focusLineLayer.render(e.panels),e.pickLineLayer&&e.pickLineLayer.render(e.panels,!0),S=!0,o&&o.axesMoved&&o.axesMoved(e.key,e.dimensions.map(function(t){return t.crossfilterDimensionIndex}))})),O.exit().remove();var R=O.selectAll(\".axisOverlays\").data(i,n);R.enter().append(\"g\").classed(\"axisOverlays\",!0),R.selectAll(\".axis\").remove();var F=R.selectAll(\".axis\").data(i,n);F.enter().append(\"g\").classed(\"axis\",!0),F.each(function(t){var e=t.model.height/t.model.tickDistance,r=t.domainScale,n=r.domain();w.select(this).call(w.svg.axis().orient(\"left\").tickSize(4).outerTickSize(2).ticks(e,t.tickFormat).tickValues(t.ordinal?n:null).tickFormat(t.ordinal?function(t){return t}:null).scale(r)),M.font(F.selectAll(\"text\"),t.model.tickFont)}),F.selectAll(\".domain, 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U=B.selectAll(\".axisExtentTop\").data(i,n);U.enter().append(\"g\").classed(\"axisExtentTop\",!0),U.attr(\"transform\",\"translate(0,\"+-x.axisExtentOffset+\")\");var V=U.selectAll(\".axisExtentTopText\").data(i,n);V.enter().append(\"text\").classed(\"axisExtentTopText\",!0).attr(\"alignment-baseline\",\"after-edge\").call(y),V.text(function(t){return d(t)(t.domainScale.domain().slice(-1)[0])}).each(function(t){M.font(V,t.model.rangeFont)});var H=B.selectAll(\".axisExtentBottom\").data(i,n);H.enter().append(\"g\").classed(\"axisExtentBottom\",!0),H.attr(\"transform\",function(t){return\"translate(0,\"+(t.model.height+x.axisExtentOffset)+\")\"});var q=H.selectAll(\".axisExtentBottomText\").data(i,n);q.enter().append(\"text\").classed(\"axisExtentBottomText\",!0).attr(\"alignment-baseline\",\"before-edge\").call(y),q.text(function(t){return d(t)(t.domainScale.domain()[0])}).each(function(t){M.font(q,t.model.rangeFont)});var 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n=t(\"../scattergl/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"}}},{\"../scattergl/attributes\":1077}],1019:[function(t,e,r){\"use strict\";function n(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=a(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}function i(t,e){var r=new n(t,e.uid);return r.update(e),r}var a=t(\"gl-pointcloud2d\"),o=t(\"../../lib/str2rgbarray\"),s=t(\"../scatter/get_trace_color\"),l=[\"xaxis\",\"yaxis\"],u=n.prototype;u.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},u.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=s(t,{})},u.updateFast=function(t){var e,r,n,i,a,s,l=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,c=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,f=t.indices,d=this.bounds;if(c){if(n=c,e=c.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(s=0;s<e;s++)i=n[2*s],a=n[2*s+1],i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),a<d[1]&&(d[1]=a),a>d[3]&&(d[3]=a);if(f)r=f;else for(r=new Int32Array(e),s=0;s<e;s++)r[s]=s}else for(e=l.length,n=new Float32Array(2*e),r=new 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r,n,i,a=e||.5,o=0;o<2;o++)r=this.scene[l[o]],n=r._min,n||(n=[]),n.push({val:t[o],pad:a}),i=r._max,i||(i=[]),i.push({val:t[o+2],pad:a})},u.dispose=function(){this.pointcloud.dispose()},e.exports=i},{\"../../lib/str2rgbarray\":749,\"../scatter/get_trace_color\":1040,\"gl-pointcloud2d\":230}],1020:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\");e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a(\"text\"),a(\"marker.color\",r),a(\"marker.opacity\"),a(\"marker.blend\"),a(\"marker.sizemin\"),a(\"marker.sizemax\"),a(\"marker.border.color\",r),a(\"marker.border.arearatio\")}},{\"../../lib\":728,\"./attributes\":1018}],1021:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.calc=t(\"../scatter3d/calc\"),n.plot=t(\"./convert\"),n.moduleType=\"trace\",n.name=\"pointcloud\",n.basePlotModule=t(\"../../plots/gl2d\"),n.categories=[\"gl2d\",\"showLegend\"],n.meta={},e.exports=n},{\"../../plots/gl2d\":808,\"../scatter3d/calc\":1056,\"./attributes\":1018,\"./convert\":1019,\"./defaults\":1020}],1022:[function(t,e,r){\"use strict\";var n=t(\"../../plots/font_attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/color/attributes\"),o=t(\"../../components/fx/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;e.exports=l({hoverinfo:s({},i.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hoverlabel:o.hoverlabel,domain:{x:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]},y:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]}},orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\"},valueformat:{valType:\"string\",dflt:\".3s\"},valuesuffix:{valType:\"string\",dflt:\"\"},arrangement:{valType:\"enumerated\",values:[\"snap\",\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"snap\"},textfont:n({}),node:{label:{valType:\"data_array\",dflt:[]},color:{valType:\"color\",arrayOk:!0},line:{color:{valType:\"color\",dflt:a.defaultLine,arrayOk:!0},width:{valType:\"number\",min:0,dflt:.5,arrayOk:!0}},pad:{valType:\"number\",arrayOk:!1,min:0,dflt:20},thickness:{valType:\"number\",arrayOk:!1,min:1,dflt:20}},link:{label:{valType:\"data_array\",dflt:[]},color:{valType:\"color\",arrayOk:!0},line:{color:{valType:\"color\",dflt:a.defaultLine,arrayOk:!0},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0}},source:{valType:\"data_array\",dflt:[]},target:{valType:\"data_array\",dflt:[]},value:{valType:\"data_array\",dflt:[]}}},\"calc\",\"nested\")},{\"../../components/color/attributes\":603,\"../../components/fx/attributes\":637,\"../../lib/extend\":717,\"../../plot_api/edit_types\":756,\"../../plots/attributes\":770,\"../../plots/font_attributes\":796}],1023:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../plots/plots\"),a=t(\"./plot\"),o=t(\"../../components/fx/layout_attributes\");r.name=\"sankey\",r.attr=\"type\",r.baseLayoutAttrOverrides=n({hoverlabel:o.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){var e=i.getSubplotCalcData(t.calcdata,\"sankey\",\"sankey\");e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"sankey\"),a=e._has&&e._has(\"sankey\");i&&!a&&n._paperdiv.selectAll(\".sankey\").remove()}},{\"../../components/fx/layout_attributes\":646,\"../../plot_api/edit_types\":756,\"../../plots/plots\":831,\"./plot\":1028}],1024:[function(t,e,r){\"use strict\";function n(t,e,r){for(var n=t.map(function(){return[]}),a=0;a<Math.min(e.length,r.length);a++){if(e[a]===r[a])return!0;n[e[a]].push(r[a])}return i(n).components.some(function(t){return t.length>1})}var i=t(\"strongly-connected-components\"),a=t(\"../../lib\");e.exports=function(t,e){return n(e.node.label,e.link.source,e.link.target)&&(a.error(\"Circularity is present in the Sankey data. Removing all nodes and links.\"),e.link.label=[],e.link.source=[],e.link.target=[],e.link.value=[],e.link.color=[],e.node.label=[],e.node.color=[]),[{link:e.link,node:e.node}]}},{\"../../lib\":728,\"strongly-connected-components\":528}],1025:[function(t,e,r){\"use strict\";e.exports={nodeTextOffsetHorizontal:4,nodeTextOffsetVertical:3,nodePadAcross:10,sankeyIterations:50,forceIterations:5,forceTicksPerFrame:10,duration:500,ease:\"cubic-in-out\"}},{}],1026:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\"),a=t(\"../../components/color/attributes\").defaults,o=t(\"../../components/color\"),s=t(\"tinycolor2\");e.exports=function(t,e,r,l){function u(r,a){return n.coerce(t,e,i,r,a)}u(\"node.label\"),u(\"node.pad\"),u(\"node.thickness\"),u(\"node.line.color\"),u(\"node.line.width\");var c=function(t){return a[t%a.length]};u(\"node.color\",e.node.label.map(function(t,e){return o.addOpacity(c(e),.8)})),u(\"link.label\"),u(\"link.source\"),u(\"link.target\"),u(\"link.value\"),u(\"link.line.color\"),u(\"link.line.width\"),u(\"link.color\",e.link.value.map(function(){return s(l.paper_bgcolor).getLuminance()<.333?\"rgba(255, 255, 255, 0.6)\":\"rgba(0, 0, 0, 0.2)\"})),u(\"domain.x\"),u(\"domain.y\"),u(\"orientation\"),u(\"valueformat\"),u(\"valuesuffix\"),u(\"arrangement\"),n.coerceFont(u,\"textfont\",n.extendFlat({},l.font));var h=function(t,r){return-1===e.link.source.indexOf(r)&&-1===e.link.target.indexOf(r)};e.node.label.some(h)&&n.warn(\"Some of the nodes are neither sources nor targets, they will not be displayed.\")}},{\"../../components/color\":604,\"../../components/color/attributes\":603,\"../../lib\":728,\"./attributes\":1022,tinycolor2:534}],1027:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.calc=t(\"./calc\"),n.plot=t(\"./plot\"),n.moduleType=\"trace\",n.name=\"sankey\",n.basePlotModule=t(\"./base_plot\"),n.categories=[\"noOpacity\"],n.meta={},e.exports=n},{\"./attributes\":1022,\"./base_plot\":1023,\"./calc\":1024,\"./defaults\":1026,\"./plot\":1028}],1028:[function(t,e,r){\"use strict\";function n(t){return\"\"!==t}function i(t,e){return t.filter(function(t){return t.key===e.traceId})}function a(t,e){p.select(t).select(\"path\").style(\"fill-opacity\",e),p.select(t).select(\"rect\").style(\"fill-opacity\",e)}function o(t){p.select(t).select(\"text.name\").style(\"fill\",\"black\")}function s(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function l(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function u(t,e,r){\n",
       "e&&r&&i(r,e).selectAll(\".sankeyLink\").filter(s(e)).call(h.bind(0,e,r,!1))}function c(t,e,r){e&&r&&i(r,e).selectAll(\".sankeyLink\").filter(s(e)).call(f.bind(0,e,r,!1))}function h(t,e,r,n){var a=n.datum().link.label;n.style(\"fill-opacity\",.4),a&&i(e,t).selectAll(\".sankeyLink\").filter(function(t){return t.link.label===a}).style(\"fill-opacity\",.4),r&&i(e,t).selectAll(\".sankeyNode\").filter(l(t)).call(u)}function f(t,e,r,n){var a=n.datum().link.label;n.style(\"fill-opacity\",function(t){return t.tinyColorAlpha}),a&&i(e,t).selectAll(\".sankeyLink\").filter(function(t){return t.link.label===a}).style(\"fill-opacity\",function(t){return t.tinyColorAlpha}),r&&i(e,t).selectAll(\".sankeyNode\").filter(l(t)).call(c)}function d(t,e){var r=t.hoverlabel||{},n=y.nestedProperty(r,e).get();return!Array.isArray(n)&&n}var p=t(\"d3\"),m=t(\"./render\"),v=t(\"../../components/fx\"),g=t(\"../../components/color\"),y=t(\"../../lib\");e.exports=function(t,e){var r=t._fullLayout,i=r._paper,s=r._size,l=function(e,r){var n=r.link;n.originalEvent=p.event,t._hoverdata=[n],v.click(t,{target:!0})},y=function(e,r,n){var i=r.link;i.originalEvent=p.event,p.select(e).call(h.bind(0,r,n,!0)),v.hover(t,i,\"sankey\")},b=function(e,i){var s=i.link.trace,l=t._fullLayout._paperdiv.node().getBoundingClientRect(),u=e.getBoundingClientRect(),c=u.left+u.width/2,h=u.top+u.height/2,f=v.loneHover({x:c-l.left,y:h-l.top,name:p.format(i.valueFormat)(i.link.value)+i.valueSuffix,text:[i.link.label||\"\",[\"Source:\",i.link.source.label].join(\" \"),[\"Target:\",i.link.target.label].join(\" \")].filter(n).join(\"<br>\"),color:d(s,\"bgcolor\")||g.addOpacity(i.tinyColorHue,1),borderColor:d(s,\"bordercolor\"),fontFamily:d(s,\"font.family\"),fontSize:d(s,\"font.size\"),fontColor:d(s,\"font.color\"),idealAlign:p.event.x<c?\"right\":\"left\"},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});a(f,.65),o(f)},x=function(e,n,i){p.select(e).call(f.bind(0,n,i,!0)),t.emit(\"plotly_unhover\",{event:p.event,points:[n.link]}),v.loneUnhover(r._hoverlayer.node())},_=function(e,r,n){var i=r.node;i.originalEvent=p.event,t._hoverdata=[i],p.select(e).call(c,r,n),v.click(t,{target:!0})},w=function(e,r,n){var i=r.node;i.originalEvent=p.event,p.select(e).call(u,r,n),v.hover(t,i,\"sankey\")},M=function(e,i){var s=i.node.trace,l=p.select(e).select(\".nodeRect\"),u=t._fullLayout._paperdiv.node().getBoundingClientRect(),c=l.node().getBoundingClientRect(),h=c.left-2-u.left,f=c.right+2-u.left,m=c.top+c.height/4-u.top,g=v.loneHover({x0:h,x1:f,y:m,name:p.format(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,[\"Incoming flow count:\",i.node.targetLinks.length].join(\" \"),[\"Outgoing flow count:\",i.node.sourceLinks.length].join(\" 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u(M),{key:r,trace:i,guid:Math.floor(1e12*(1+Math.random())),horizontal:h,width:_,height:w,nodePad:f,nodeLineColor:p,nodeLineWidth:m,linkLineColor:v,linkLineWidth:g,valueFormat:y,valueSuffix:b,textFont:x,translateX:o.x[0]*_+t.margin.l,translateY:t.height-o.y[1]*t.height+t.margin.t,dragParallel:h?w:_,dragPerpendicular:h?_:w,nodes:M,links:k,arrangement:c,sankey:A,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function f(t,e,r){var n=P(r.color),i=r.source.label+\"|\"+r.target.label,a=t[i];t[i]=(a||0)+1;var o=i+\"__\"+t[i];return r.trace=e.trace,r.curveNumber=e.trace.index,{key:o,traceId:e.key,link:r,tinyColorHue:O.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkLineColor:e.linkLineColor,linkLineWidth:e.linkLineWidth,valueFormat:e.valueFormat,valueSuffix:e.valueSuffix,sankey:e.sankey,interactionState:e.interactionState}}function d(t,e,r){var n=P(r.color),i=z.nodePadAcross,a=e.nodePad/2,o=r.dx,s=Math.max(.5,r.dy),l=r.label,u=t[l];t[l]=(u||0)+1;var c=l+\"__\"+t[l];return 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a(t).trace.visible}).map(h.bind(null,r)),n);l.exit().remove(),l.enter().append(\"g\").classed(\"sankey\",!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",\"auto\").style(\"box-sizing\",\"content-box\").attr(\"transform\",x),l.transition().ease(z.ease).duration(z.duration).attr(\"transform\",x);var u=l.selectAll(\".sankeyLinks\").data(i,n);u.enter().append(\"g\").classed(\"sankeyLinks\",!0).style(\"fill\",\"none\");var c=u.selectAll(\".sankeyLink\").data(function(t){var e={};return t.sankey.links().filter(function(t){return t.value}).map(f.bind(null,e,t))},n);c.enter().append(\"path\").classed(\"sankeyLink\",!0).attr(\"d\",m).call(S,l,s.linkEvents),c.style(\"stroke\",function(t){return b(t)?O.tinyRGB(P(t.linkLineColor)):t.tinyColorHue}).style(\"stroke-opacity\",function(t){return 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n=t(\"../../components/colorscale/color_attributes\"),i=t(\"../../components/errorbars/attributes\"),a=t(\"../../components/colorbar/attributes\"),o=t(\"../../plots/font_attributes\"),s=t(\"../../components/drawing/attributes\").dash,l=t(\"../../components/drawing\"),u=(t(\"./constants\"),t(\"../../lib/extend\").extendFlat);e.exports={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},x0:{valType:\"any\",dflt:0,editType:\"calc+clearAxisTypes\"},dx:{valType:\"number\",dflt:1,editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y0:{valType:\"any\",dflt:0,editType:\"calc+clearAxisTypes\"},dy:{valType:\"number\",dflt:1,editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\",\"text\"],extras:[\"none\"],editType:\"calc\"},hoveron:{valType:\"flaglist\",flags:[\"points\",\"fills\"],editType:\"style\"},line:{color:{valType:\"color\",editType:\"style\"},width:{valType:\"number\",min:0,dflt:2,editType:\"style\"},shape:{valType:\"enumerated\",values:[\"linear\",\"spline\",\"hv\",\"vh\",\"hvh\",\"vhv\"],dflt:\"linear\",editType:\"plot\"},smoothing:{valType:\"number\",min:0,max:1.3,dflt:1,editType:\"plot\"},dash:u({},s,{editType:\"style\"}),simplify:{valType:\"boolean\",dflt:!0,editType:\"plot\"},editType:\"plot\"},connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},cliponaxis:{valType:\"boolean\",dflt:!0,editType:\"plot\"},fill:{valType:\"enumerated\",values:[\"none\",\"tozeroy\",\"tozerox\",\"tonexty\",\"tonextx\",\"toself\",\"tonext\"],dflt:\"none\",editType:\"calc\"},fillcolor:{valType:\"color\",editType:\"style\"},marker:u({symbol:{valType:\"enumerated\",values:l.symbolList,dflt:\"circle\",arrayOk:!0,editType:\"style\"},opacity:{valType:\"number\",min:0,max:1,arrayOk:!0,editType:\"style\"},size:{valType:\"number\",min:0,dflt:6,arrayOk:!0,editType:\"calcIfAutorange\"},maxdisplayed:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},sizeref:{valType:\"number\",dflt:1,editType:\"calc\"},sizemin:{valType:\"number\",min:0,dflt:0,editType:\"calc\"},sizemode:{valType:\"enumerated\",values:[\"diameter\",\"area\"],dflt:\"diameter\",editType:\"calc\"},showscale:{valType:\"boolean\",dflt:!1,editType:\"calc\"},colorbar:a,line:u({width:{valType:\"number\",min:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},n(\"marker.line\")),gradient:{type:{valType:\"enumerated\",values:[\"radial\",\"horizontal\",\"vertical\",\"none\"],arrayOk:!0,dflt:\"none\",editType:\"calc\"},color:{valType:\"color\",arrayOk:!0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},n(\"marker\")),textposition:{valType:\"enumerated\",values:[\"top 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r,u,c,h=i.getFromId(t,e.xaxis||\"x\"),f=i.getFromId(t,e.yaxis||\"y\"),d=h.makeCalcdata(e,\"x\"),p=f.makeCalcdata(e,\"y\"),m=Math.min(d.length,p.length);h._minDtick=0,f._minDtick=0,d.length>m&&d.splice(m,d.length-m),p.length>m&&p.splice(m,p.length-m);var v={padded:!0},g={padded:!0};if(o.hasMarkers(e)){if(r=e.marker,u=r.size,Array.isArray(u)){var y={type:\"linear\"};i.setConvert(y),u=y.makeCalcdata(e.marker,\"size\"),u.length>m&&u.splice(m,u.length-m)}var b,x=1.6*(e.marker.sizeref||1);b=\"area\"===e.marker.sizemode?function(t){return Math.max(Math.sqrt((t||0)/x),3)}:function(t){return 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i=t(\"../scatter/attributes\"),a=t(\"../../components/colorscale/color_attributes\"),o=t(\"../../components/errorbars/attributes\"),s=t(\"../../constants/gl3d_dashes\"),l=t(\"../../constants/gl3d_markers\"),u=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll,h=i.line,f=i.marker,d=f.line,p=e.exports=c({x:i.x,y:i.y,z:{valType:\"data_array\"},text:u({},i.text,{}),hovertext:u({},i.hovertext,{}),mode:u({},i.mode,{dflt:\"lines+markers\"}),surfaceaxis:{valType:\"enumerated\",values:[-1,0,1,2],dflt:-1},surfacecolor:{valType:\"color\"},projection:{x:n(\"x\"),y:n(\"y\"),z:n(\"z\")},connectgaps:i.connectgaps,line:u({width:h.width,dash:{valType:\"enumerated\",values:Object.keys(s),dflt:\"solid\"},showscale:{valType:\"boolean\",dflt:!1}},a(\"line\")),marker:u({symbol:{valType:\"enumerated\",values:Object.keys(l),dflt:\"circle\",arrayOk:!0},size:u({},f.size,{dflt:8}),sizeref:f.sizeref,sizemin:f.sizemin,sizemode:f.sizemode,opacity:u({},f.opacity,{arrayOk:!1}),showscale:f.showscale,colorbar:f.colorbar,line:u({width:u({},d.width,{arrayOk:!1})},a(\"marker.line\"))},a(\"marker\")),textposition:u({},i.textposition,{dflt:\"top 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u=t.opacity;if(t.marker&&t.marker.opacity&&(u*=t.marker.opacity),r={gl:o,position:l.position,color:l.scatterColor,size:l.scatterSize,glyph:l.scatterMarker,opacity:u,orthographic:!0,lineWidth:l.scatterLineWidth,lineColor:l.scatterLineColor,project:l.project,projectScale:l.projectScale,projectOpacity:l.projectOpacity},-1!==this.mode.indexOf(\"markers\")?this.scatterPlot?this.scatterPlot.update(r):(this.scatterPlot=p(r),this.scatterPlot._trace=this,this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),a={gl:o,position:l.position,glyph:l.text,color:l.textColor,size:l.textSize,angle:l.textAngle,alignment:l.textOffset,font:l.textFont,orthographic:!0,lineWidth:0,project:!1,opacity:t.opacity},this.textLabels=t.hovertext||t.text,-1!==this.mode.indexOf(\"text\")?this.textMarkers?this.textMarkers.update(a):(this.textMarkers=p(a),this.textMarkers._trace=this,this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),n={gl:o,position:l.position,color:l.errorColor,error:l.errorBounds,lineWidth:l.errorLineWidth,capSize:l.errorCapSize,opacity:t.opacity},this.errorBars?l.errorBounds?this.errorBars.update(n):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):l.errorBounds&&(this.errorBars=m(n),this.errorBars._trace=this,this.scene.glplot.add(this.errorBars)),l.delaunayAxis>=0){var 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a=0,o=r(\"x\"),s=r(\"y\"),l=r(\"z\");return i.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],n),o&&s&&l&&(a=Math.min(o.length,s.length,l.length),a<o.length&&(e.x=o.slice(0,a)),a<s.length&&(e.y=s.slice(0,a)),a<l.length&&(e.z=l.slice(0,a))),a}var i=t(\"../../registry\"),a=t(\"../../lib\"),o=t(\"../scatter/subtypes\"),s=t(\"../scatter/marker_defaults\"),l=t(\"../scatter/line_defaults\"),u=t(\"../scatter/text_defaults\"),c=t(\"../../components/errorbars/defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,i){function f(r,n){return a.coerce(t,e,h,r,n)}if(!n(t,e,f,i))return void(e.visible=!1);f(\"text\"),f(\"hovertext\"),f(\"mode\"),o.hasLines(e)&&(f(\"connectgaps\"),l(t,e,r,i,f)),o.hasMarkers(e)&&s(t,e,r,i,f),o.hasText(e)&&u(t,e,i,f);var d=(e.line||{}).color,p=(e.marker||{}).color;f(\"surfaceaxis\")>=0&&f(\"surfacecolor\",d||p);for(var m=[\"x\",\"y\",\"z\"],v=0;v<3;++v){var g=\"projection.\"+m[v];f(g+\".show\")&&(f(g+\".opacity\"),f(g+\".scale\"))}c(t,e,r,{axis:\"z\"}),c(t,e,r,{axis:\"y\",inherit:\"z\"}),c(t,e,r,{axis:\"x\",inherit:\"z\"})}},{\"../../components/errorbars/defaults\":633,\"../../lib\":728,\"../../registry\":846,\"../scatter/line_defaults\":1043,\"../scatter/marker_defaults\":1048,\"../scatter/subtypes\":1052,\"../scatter/text_defaults\":1053,\"./attributes\":1055}],1060:[function(t,e,r){\"use strict\";var n={};n.plot=t(\"./convert\"),n.attributes=t(\"./attributes\"),n.markerSymbols=t(\"../../constants/gl3d_markers\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.moduleType=\"trace\",n.name=\"scatter3d\",n.basePlotModule=t(\"../../plots/gl3d\"),n.categories=[\"gl3d\",\"symbols\",\"markerColorscale\",\"showLegend\"],n.meta={},e.exports=n},{\"../../constants/gl3d_markers\":705,\"../../plots/gl3d\":811,\"../scatter/colorbar\":1034,\"./attributes\":1055,\"./calc\":1056,\"./convert\":1058,\"./defaults\":1059}],1061:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/colorscale/color_attributes\"),o=t(\"../../components/colorbar/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=n.marker,u=n.line,c=l.line;e.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:s({},n.mode,{dflt:\"markers\"}),text:s({},n.text,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:s({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:s({},n.fill,{values:[\"none\",\"toself\",\"tonext\"]}),fillcolor:n.fillcolor,marker:s({symbol:l.symbol,opacity:l.opacity,maxdisplayed:l.maxdisplayed,size:l.size,sizeref:l.sizeref,sizemin:l.sizemin,sizemode:l.sizemode,line:s({width:c.width,editType:\"calc\"},a(\"marker\".line)),gradient:l.gradient,editType:\"calc\"},a(\"marker\"),{showscale:l.showscale,colorbar:o}),textfont:n.textfont,textposition:n.textposition,hoverinfo:s({},i.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron}},{\"../../components/colorbar/attributes\":605,\"../../components/colorscale/color_attributes\":611,\"../../lib/extend\":717,\"../../plots/attributes\":770,\"../scatter/attributes\":1031}],1062:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/colorscale_calc\"),s=t(\"../scatter/arrays_to_calcdata\"),l=t(\"../carpet/lookup_carpetid\");e.exports=function(t,e){var r=e.carpetTrace=l(t,e);if(r&&r.visible&&\"legendonly\"!==r.visible){var u;e.xaxis=r.xaxis,e.yaxis=r.yaxis;var c,h,f=e.a.length,d=new Array(f),p=!1;for(u=0;u<f;u++)if(c=e.a[u],h=e.b[u],n(c)&&n(h)){var m=r.ab2xy(+c,+h,!0),v=r.isVisible(+c,+h);v||(p=!0),d[u]={x:m[0],y:m[1],a:c,b:h,vis:v}}else d[u]={x:!1,y:!1};e._needsCull=p,d[0].carpet=r,d[0].trace=e;var g,y;if(a.hasMarkers(e)&&(g=e.marker,y=g.size,Array.isArray(y))){var b={type:\"linear\"};i.setConvert(b),y=b.makeCalcdata(e.marker,\"size\"),y.length>f&&y.splice(f,y.length-f)}return o(e),s(d,e),d}}},{\"../../plots/cartesian/axes\":772,\"../carpet/lookup_carpetid\":903,\"../scatter/arrays_to_calcdata\":1030,\"../scatter/colorscale_calc\":1035,\"../scatter/subtypes\":1052,\"fast-isnumeric\":131}],1063:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),u=t(\"../scatter/text_defaults\"),c=t(\"../scatter/fillcolor_defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,f){function d(r,i){return n.coerce(t,e,h,r,i)}d(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var p,m=d(\"a\"),v=d(\"b\");if(!(p=Math.min(m.length,v.length)))return void(e.visible=!1);m&&p<m.length&&(e.a=m.slice(0,p)),v&&p<v.length&&(e.b=v.slice(0,p)),d(\"text\"),d(\"mode\",p<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,f,d),l(t,e,d),d(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,f,d,{gradient:!0}),a.hasText(e)&&u(t,e,f,d);var g=[];(a.hasMarkers(e)||a.hasText(e))&&(d(\"marker.maxdisplayed\"),g.push(\"points\")),d(\"fill\"),\"none\"!==e.fill&&(c(t,e,r,d),a.hasLines(e)||l(t,e,d)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||g.push(\"fills\"),d(\"hoveron\",g.join(\"+\")||\"points\")}},{\"../../lib\":728,\"../scatter/constants\":1036,\"../scatter/fillcolor_defaults\":1039,\"../scatter/line_defaults\":1043,\"../scatter/line_shape_defaults\":1045,\"../scatter/marker_defaults\":1048,\"../scatter/subtypes\":1052,\"../scatter/text_defaults\":1053,\"./attributes\":1061}],1064:[function(t,e,r){\"use strict\";var n=t(\"../scatter/hover\");e.exports=function(t,e,r,i){function a(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,g.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}var o=n(t,e,r,i);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,u=t.xa._length,c=u*l/2,h=u-c;return s.x0=Math.max(Math.min(s.x0,h),c),s.x1=Math.max(Math.min(s.x1,h),c),o}var f=s.cd[s.index];s.a=f.a,s.b=f.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var d=s.trace,p=d._carpet,m=f.hi||d.hoverinfo,v=m.split(\"+\"),g=[];-1!==v.indexOf(\"all\")&&(v=[\"a\",\"b\"]),-1!==v.indexOf(\"a\")&&a(p.aaxis,f.a),-1!==v.indexOf(\"b\")&&a(p.baxis,f.b);var y=p.ab2ij([f.a,f.b]),b=Math.floor(y[0]),x=y[0]-b,_=Math.floor(y[1]),w=y[1]-_,M=p.evalxy([],b,_,x,w);return g.push(\"y: \"+M[1].toFixed(3)),s.extraText=g.join(\"<br>\"),o}}},{\"../scatter/hover\":1041}],1065:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.plot=t(\"./plot\"),n.style=t(\"./style\"),n.hoverPoints=t(\"./hover\"),n.selectPoints=t(\"./select\"),n.moduleType=\"trace\",n.name=\"scattercarpet\",n.basePlotModule=t(\"../../plots/cartesian\"),n.categories=[\"carpet\",\"symbols\",\"markerColorscale\",\"showLegend\",\"carpetDependent\"],n.meta={},e.exports=n},{\"../../plots/cartesian\":782,\"../scatter/colorbar\":1034,\"./attributes\":1061,\"./calc\":1062,\"./defaults\":1063,\"./hover\":1064,\"./plot\":1066,\"./select\":1067,\"./style\":1068}],1066:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../components/drawing\");e.exports=function(t,e,r){var o,s,l,u=r[0][0].carpet,c={xaxis:i.getFromId(t,u.xaxis||\"x\"),yaxis:i.getFromId(t,u.yaxis||\"y\"),plot:e.plot};for(n(t,c,r),o=0;o<r.length;o++)s=r[o][0].trace,l=c.plot.selectAll(\"g.trace\"+s.uid+\" .js-line\"),a.setClipUrl(l,u._clipPathId)}},{\"../../components/drawing\":628,\"../../plots/cartesian/axes\":772,\"../scatter/plot\":1049}],1067:[function(t,e,r){\"use strict\";var n=t(\"../scatter/select\");e.exports=function(t,e){var r=n(t,e);if(r){var i,a,o,s=t.cd;for(o=0;o<r.length;o++)i=r[o],a=s[i.pointNumber],i.a=a.a,i.b=a.b,i.c=a.c,delete i.x,delete i.y;return r}}},{\"../scatter/select\":1050}],1068:[function(t,e,r){\"use strict\";var n=t(\"../scatter/style\");e.exports=function(t){for(var e=t._fullLayout._modules,r=0;r<e.length;r++)if(\"scatter\"===e[r].name)return;n(t)}},{\"../scatter/style\":1051}],1069:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/colorscale/color_attributes\"),o=t(\"../../components/drawing/attributes\").dash,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll,u=n.marker,c=n.line,h=u.line;e.exports=l({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country names\"],dflt:\"ISO-3\"},mode:s({},n.mode,{dflt:\"markers\"}),text:s({},n.text,{}),hovertext:s({},n.hovertext,{}),textfont:n.textfont,textposition:n.textposition,line:{color:c.color,width:c.width,dash:o},connectgaps:n.connectgaps,marker:s({symbol:u.symbol,opacity:u.opacity,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,showscale:u.showscale,colorbar:u.colorbar,line:s({width:h.width},a(\"marker.line\")),gradient:u.gradient},a(\"marker\")),fill:{valType:\"enumerated\",values:[\"none\",\"toself\"],dflt:\"none\"},fillcolor:n.fillcolor,hoverinfo:s({},i.hoverinfo,{flags:[\"lon\",\"lat\",\"location\",\"text\",\"name\"]})},\"calc\",\"nested\")},{\"../../components/colorscale/color_attributes\":611,\"../../components/drawing/attributes\":627,\"../../lib/extend\":717,\"../../plot_api/edit_types\":756,\"../../plots/attributes\":770,\"../scatter/attributes\":1031}],1070:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../scatter/colorscale_calc\"),o=t(\"../scatter/arrays_to_calcdata\");e.exports=function(t,e){for(var r=Array.isArray(e.locations),s=r?e.locations.length:e.lon.length,l=new Array(s),u=0;u<s;u++){var c=l[u]={};if(r){var h=e.locations[u];c.loc=\"string\"==typeof h?h:null}else{var f=e.lon[u],d=e.lat[u];n(f)&&n(d)?c.lonlat=[+f,+d]:c.lonlat=[i,i]}}return o(l,e),a(e),l}},{\"../../constants/numerical\":707,\"../scatter/arrays_to_calcdata\":1030,\"../scatter/colorscale_calc\":1035,\"fast-isnumeric\":131}],1071:[function(t,e,r){\"use strict\";function n(t,e,r){var n,i,a=0,o=r(\"locations\");return o?(r(\"locationmode\"),a=o.length):(n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length),a<n.length&&(e.lon=n.slice(0,a)),a<i.length&&(e.lat=i.slice(0,a)),a)}var i=t(\"../../lib\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,h){function f(r,n){return i.coerce(t,e,c,r,n)}if(!n(t,e,f))return void(e.visible=!1);f(\"text\"),f(\"hovertext\"),f(\"mode\"),a.hasLines(e)&&(s(t,e,r,h,f),f(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,h,f,{gradient:!0}),a.hasText(e)&&l(t,e,h,f),f(\"fill\"),\"none\"!==e.fill&&u(t,e,r,f)}},{\"../../lib\":728,\"../scatter/fillcolor_defaults\":1039,\"../scatter/line_defaults\":1043,\"../scatter/marker_defaults\":1048,\"../scatter/subtypes\":1052,\"../scatter/text_defaults\":1053,\"./attributes\":1069}],1072:[function(t,e,r){\"use strict\";e.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null,t}},{}],1073:[function(t,e,r){\"use strict\";function n(t,e,r){function n(t){return a.tickText(r,r.c2l(t),\"hover\").text+\"\\xb0\"}var i=e.hi||t.hoverinfo,o=\"all\"===i?u.hoverinfo.flags:i.split(\"+\"),s=-1!==o.indexOf(\"location\")&&Array.isArray(t.locations),c=-1!==o.indexOf(\"lon\"),h=-1!==o.indexOf(\"lat\"),f=-1!==o.indexOf(\"text\"),d=[];return s?d.push(e.loc):c&&h?d.push(\"(\"+n(e.lonlat[0])+\", \"+n(e.lonlat[1])+\")\"):c?d.push(\"lon: \"+n(e.lonlat[0])):h&&d.push(\"lat: \"+n(e.lonlat[1])),f&&l(e,t,d),d.join(\"<br>\")}var i=t(\"../../components/fx\"),a=t(\"../../plots/cartesian/axes\"),o=t(\"../../constants/numerical\").BADNUM,s=t(\"../scatter/get_trace_color\"),l=t(\"../scatter/fill_hover_text\"),u=t(\"./attributes\");e.exports=function(t,e,r){function a(t){var n=t.lonlat;if(n[0]===o)return 1/0;if(d(n))return 1/0;var i=p(n),a=p([e,r]),s=Math.abs(i[0]-a[0]),l=Math.abs(i[1]-a[1]),u=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(s*s+l*l)-u,1-3/u)}var l=t.cd,u=l[0].trace,c=t.xa,h=t.ya,f=t.subplot,d=f.projection.isLonLatOverEdges,p=f.project;if(i.getClosest(l,a,t),!1!==t.index){var m=l[t.index],v=m.lonlat,g=[c.c2p(v),h.c2p(v)],y=m.mrc||1;return t.x0=g[0]-y,t.x1=g[0]+y,t.y0=g[1]-y,t.y1=g[1]+y,t.loc=m.loc,t.lon=v[0],t.lat=v[1],t.color=s(u,m),t.extraText=n(u,m,f.mockAxis),[t]}}},{\"../../components/fx\":645,\"../../constants/numerical\":707,\"../../plots/cartesian/axes\":772,\"../scatter/fill_hover_text\":1038,\"../scatter/get_trace_color\":1040,\"./attributes\":1069}],1074:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.plot=t(\"./plot\"),n.hoverPoints=t(\"./hover\"),n.eventData=t(\"./event_data\"),n.selectPoints=t(\"./select\"),n.moduleType=\"trace\",n.name=\"scattergeo\",n.basePlotModule=t(\"../../plots/geo\"),n.categories=[\"geo\",\"symbols\",\"markerColorscale\",\"showLegend\",\"scatter-like\"],n.meta={},e.exports=n},{\"../../plots/geo\":800,\"../scatter/colorbar\":1034,\"./attributes\":1069,\"./calc\":1070,\"./defaults\":1071,\"./event_data\":1072,\"./hover\":1073,\"./plot\":1075,\"./select\":1076}],1075:[function(t,e,r){\"use strict\";function n(t,e){var r=t[0].trace;if(Array.isArray(r.locations))for(var n=c(r,e),i=r.locationmode,a=0;a<t.length;a++){var o=t[a],s=h(i,o.loc,n);o.lonlat=s?s.properties.ct:[u,u]}}function i(t){var e=t.layers.frontplot.selectAll(\".trace.scattergeo\");e.style(\"opacity\",function(t){return t[0].trace.opacity}),e.each(function(e){var r=e[0].trace,n=a.select(this);n.selectAll(\"path.point\").call(o.pointStyle,r,t.graphDiv),n.selectAll(\"text\").call(o.textPointStyle,r,t.graphDiv)}),e.selectAll(\"path.js-line\").style(\"fill\",\"none\").each(function(t){var e=a.select(this),r=t.trace,n=r.line||{};e.call(s.stroke,n.color).call(o.dashLine,n.dash||\"\",n.width||0),\"none\"!==r.fill&&e.call(s.fill,r.fillcolor)})}var a=t(\"d3\"),o=t(\"../../components/drawing\"),s=t(\"../../components/color\"),l=t(\"../../lib\"),u=t(\"../../constants/numerical\").BADNUM,c=t(\"../../lib/topojson_utils\").getTopojsonFeatures,h=t(\"../../lib/geo_location_utils\").locationToFeature,f=t(\"../../lib/geojson_utils\"),d=t(\"../scatter/subtypes\")\n",
       ";e.exports=function(t,e){function r(t){return t[0].trace.uid}function o(t,e){t.lonlat[0]===u&&a.select(e).remove()}for(var s=0;s<e.length;s++)n(e[s],t.topojson);var c=t.layers.frontplot.select(\".scatterlayer\").selectAll(\"g.trace.scattergeo\").data(e,r);c.enter().append(\"g\").attr(\"class\",\"trace scattergeo\"),c.exit().remove(),c.selectAll(\"*\").remove(),c.each(function(t){var e=t[0].node3=a.select(this),r=t[0].trace;if(d.hasLines(r)||\"none\"!==r.fill){var n=f.calcTraceToLineCoords(t),i=\"none\"!==r.fill?f.makePolygon(n):f.makeLine(n);e.selectAll(\"path.js-line\").data([{geojson:i,trace:r}]).enter().append(\"path\").classed(\"js-line\",!0).style(\"stroke-miterlimit\",2)}d.hasMarkers(r)&&e.selectAll(\"path.point\").data(l.identity).enter().append(\"path\").classed(\"point\",!0).each(function(t){o(t,this)}),d.hasText(r)&&e.selectAll(\"g\").data(l.identity).enter().append(\"g\").append(\"text\").each(function(t){o(t,this)})}),i(t)}},{\"../../components/color\":604,\"../../components/drawing\":628,\"../../constants/numerical\":707,\"../../lib\":728,\"../../lib/geo_location_utils\":720,\"../../lib/geojson_utils\":721,\"../../lib/topojson_utils\":753,\"../scatter/subtypes\":1052,d3:122}],1076:[function(t,e,r){\"use strict\";var n=t(\"../scatter/subtypes\"),i=t(\"../../constants/interactions\").DESELECTDIM;e.exports=function(t,e){var r,a,o,s,l,u=t.cd,c=t.xaxis,h=t.yaxis,f=[],d=u[0].trace,p=u[0].node3,m=!n.hasMarkers(d)&&!n.hasText(d);if(!0===d.visible&&!m){var v=d.marker,g=Array.isArray(v.opacity)?1:v.opacity;if(!1===e)for(l=0;l<u.length;l++)u[l].dim=0;else for(l=0;l<u.length;l++)r=u[l],a=r.lonlat,o=c.c2p(a),s=h.c2p(a),e.contains([o,s])?(f.push({pointNumber:l,lon:a[0],lat:a[1]}),r.dim=0):r.dim=1;return p.selectAll(\"path.point\").style(\"opacity\",function(t){return((t.mo+1||g+1)-1)*(t.dim?i:1)}),p.selectAll(\"text\").style(\"opacity\",function(t){return t.dim?i:1}),f}}},{\"../../constants/interactions\":706,\"../scatter/subtypes\":1052}],1077:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../components/colorscale/color_attributes\"),a=t(\"../../constants/gl2d_dashes\"),o=t(\"../../constants/gl2d_markers\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll,u=n.line,c=n.marker,h=c.line,f=e.exports=l({x:n.x,x0:n.x0,dx:n.dx,y:n.y,y0:n.y0,dy:n.dy,text:s({},n.text,{}),mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\"],extras:[\"none\"]},line:{color:u.color,width:u.width,dash:{valType:\"enumerated\",values:Object.keys(a),dflt:\"solid\"}},marker:s({},i(\"marker\"),{symbol:{valType:\"enumerated\",values:Object.keys(o),dflt:\"circle\",arrayOk:!0},size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,opacity:c.opacity,showscale:c.showscale,colorbar:c.colorbar,line:s({},i(\"marker.line\"),{width:h.width})}),connectgaps:n.connectgaps,fill:s({},n.fill,{values:[\"none\",\"tozeroy\",\"tozerox\"]}),fillcolor:n.fillcolor,error_y:n.error_y,error_x:n.error_x},\"calc\",\"nested\");f.x.editType=f.y.editType=f.x0.editType=f.y0.editType=\"calc+clearAxisTypes\"},{\"../../components/colorscale/color_attributes\":611,\"../../constants/gl2d_dashes\":702,\"../../constants/gl2d_markers\":703,\"../../lib/extend\":717,\"../../plot_api/edit_types\":756,\"../scatter/attributes\":1031}],1078:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\"),i=t(\"../scatter/arrays_to_calcdata\"),a=t(\"../scatter/colorscale_calc\");e.exports=function(t,e){var r,o=t._fullLayout.dragmode;if(\"lasso\"===o||\"select\"===o){var s,l=n.getFromId(t,e.xaxis||\"x\"),u=n.getFromId(t,e.yaxis||\"y\"),c=l.makeCalcdata(e,\"x\"),h=u.makeCalcdata(e,\"y\"),f=Math.min(c.length,h.length);for(r=new Array(f),s=0;s<f;s++)r[s]={x:c[s],y:h[s]}}else r=[{x:!1,y:!1,trace:e,t:{}}],i(r,e);return a(e),r}},{\"../../plots/cartesian/axes\":772,\"../scatter/arrays_to_calcdata\":1030,\"../scatter/colorscale_calc\":1035}],1079:[function(t,e,r){\"use strict\";function n(t,e){this.scene=t,this.uid=e,this.type=\"scattergl\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.connectgaps=!0,this.index=null,this.idToIndex=[],this.bounds=[0,0,0,0],this.isVisible=!1,this.hasLines=!1,this.hasErrorX=!1,this.hasErrorY=!1,this.hasMarkers=!1,this.line=this.initObject(m,{positions:new Float64Array(0),color:[0,0,0,1],width:1,fill:[!1,!1,!1,!1],fillColor:[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],dashes:[1]},0),this.errorX=this.initObject(v,{positions:new Float64Array(0),errors:new Float64Array(0),lineWidth:1,capSize:0,color:[0,0,0,1]},1),this.errorY=this.initObject(v,{positions:new Float64Array(0),errors:new Float64Array(0),lineWidth:1,capSize:0,color:[0,0,0,1]},2);var r={positions:new Float64Array(0),sizes:[],colors:[],glyphs:[],borderWidths:[],borderColors:[],size:12,color:[0,0,0,1],borderSize:1,borderColor:[0,0,0,1],snapPoints:!0},n=y.extendFlat({},r,{snapPoints:!1});this.scatter=this.initObject(d,r,3),this.fancyScatter=this.initObject(p,r,4),this.selectScatter=this.initObject(d,n,5)}function i(t,e,r){return Array.isArray(e)||(e=[e]),a(t,e,r)}function a(t,e,r){for(var n=new Array(r),i=e[0],a=0;a<r;++a)n[a]=t(a>=e.length?i:e[a]);return n}function o(t,e,r){return l(O(t,r),P(e,r),r)}function s(t,e,r,n){var i=k(t,e,n);return i=Array.isArray(i[0])?i:a(y.identity,[i],n),l(i,P(r,n),n)}function l(t,e,r){for(var n=new Array(4*r),i=0;i<r;++i){for(var a=0;a<3;++a)n[4*i+a]=t[i][a];n[4*i+3]=t[i][3]*e[i]}return n}function u(t){return\"\"===t.split(\"-open\")[1]}function c(t,e,r,n,i){var a,o=i?C:1;for(a=0;a<3;a++)t[4*r+a]=e[4*n+a];t[4*r+a]=o*e[4*n+a]}function h(t){for(var e,r=t.length,n=Math.max(1,(r-1)/Math.min(Math.max(r,1),1e3)),i=0;i<r;i+=n)if(e=t[Math.floor(i)],!(g(e)||e instanceof Date))return!1;return!0}function f(t,e,r){var i=new n(t,e.uid);return i.update(e,r),i}var d=t(\"gl-scatter2d\"),p=t(\"gl-scatter2d-sdf\"),m=t(\"gl-line2d\"),v=t(\"gl-error2d\"),g=t(\"fast-isnumeric\"),y=t(\"../../lib\"),b=t(\"../../plots/cartesian/axes\"),x=t(\"../../plots/cartesian/axis_autotype\"),_=t(\"../../components/errorbars\"),w=t(\"../../lib/str2rgbarray\"),M=t(\"../../lib/typed_array_truncate\"),k=t(\"../../lib/gl_format_color\"),A=t(\"../scatter/subtypes\"),T=t(\"../scatter/make_bubble_size_func\"),S=t(\"../scatter/get_trace_color\"),E=t(\"../../constants/gl2d_markers\"),L=t(\"../../constants/gl2d_dashes\"),C=t(\"../../constants/interactions\").DESELECTDIM,I=[\"xaxis\",\"yaxis\"],z=[0,0,0,0],D=n.prototype;D.initObject=function(t,e,r){function n(){u||(u=t(s,e),u._trace=o,u._index=r),u.update(e)}function i(){u&&u.update(l)}function a(){u&&u.dispose()}var o=this,s=o.scene.glplot,l=y.extendFlat({},e),u=null;return{options:e,update:n,clear:i,dispose:a}},D.handlePick=function(t){var e=t.pointId;(t.object!==this.line||this.connectgaps)&&(e=this.idToIndex[t.pointId]);var r=this.pickXData[e];return{trace:this,dataCoord:t.dataCoord,traceCoord:[g(r)||!y.isDateTime(r)?r:y.dateTime2ms(r),this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:Array.isArray(this.color)?this.color[e]:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},D.isFancy=function(t){if(\"linear\"!==this.scene.xaxis.type&&\"date\"!==this.scene.xaxis.type)return!0;if(\"linear\"!==this.scene.yaxis.type)return!0;if(!t.x||!t.y)return!0;if(this.hasMarkers){var e=t.marker||{};if(Array.isArray(e.symbol)||\"circle\"!==e.symbol||Array.isArray(e.size)||Array.isArray(e.color)||Array.isArray(e.line.width)||Array.isArray(e.line.color)||Array.isArray(e.opacity))return!0}return!(!this.hasLines||this.connectgaps)||(!!this.hasErrorX||!!this.hasErrorY)};var P=i.bind(null,function(t){return+t}),O=i.bind(null,w),R=i.bind(null,function(t){return 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Float64Array(2*l),f=this.bounds,d=0,p=0,m=t.selection,v=t.xcalendar,b=h(o),_=!b&&\"date\"===x(o,v);if(b||_)for(e=0;e<l;++e)i=o[e],a=s[e],g(a)&&(b||(i=y.dateTime2ms(i,v)),c[p++]=i,c[p++]=a,u[d++]=e,f[0]=Math.min(f[0],i),f[1]=Math.min(f[1],a),f[2]=Math.max(f[2],i),f[3]=Math.max(f[3],a));if(c=M(c,p),this.idToIndex=u,m&&m.length)for(r=new Float64Array(2*m.length),e=0,n=m.length;e<n;e++)r[2*e+0]=m[e].x,r[2*e+1]=m[e].y;this.updateLines(t,c),this.updateError(\"X\",t),this.updateError(\"Y\",t);var k;if(this.hasMarkers){var A,T,S;r?(this.scatter.options.positions=null,A=w(t.marker.color),T=w(t.marker.line.color),S=t.opacity*t.marker.opacity*C,A[3]*=S,this.scatter.options.color=A,T[3]*=S,this.scatter.options.borderColor=T,k=t.marker.size,this.scatter.options.size=k,this.scatter.options.borderSize=t.marker.line.width,this.scatter.update(),this.scatter.options.positions=c,this.selectScatter.options.positions=r,A=w(t.marker.color),T=w(t.marker.line.color),S=t.opacity*t.marker.opacity,A[3]*=S,this.selectScatter.options.color=A,T[3]*=S,this.selectScatter.options.borderColor=T,k=t.marker.size,this.selectScatter.options.size=k,this.selectScatter.options.borderSize=t.marker.line.width,this.selectScatter.update()):(this.scatter.options.positions=c,A=w(t.marker.color),T=w(t.marker.line.color),S=t.opacity*t.marker.opacity,A[3]*=S,this.scatter.options.color=A,T[3]*=S,this.scatter.options.borderColor=T,k=t.marker.size,this.scatter.options.size=k,this.scatter.options.borderSize=t.marker.line.width,this.scatter.update())}else this.scatter.clear();this.fancyScatter.clear(),this.expandAxesFast(f,k)},D.updateFancy=function(t){var e=this.scene,r=e.xaxis,n=e.yaxis,a=this.bounds,o=t.selection,l=this.pickXData=r.makeCalcdata(t,\"x\").slice(),h=this.pickYData=n.makeCalcdata(t,\"y\").slice();this.xData=l.slice(),this.yData=h.slice();var f,d,p,m,v,g,y,b=_.calcFromTrace(t,e.fullLayout),x=l.length,w=new Array(x),k=new Float64Array(2*x),A=new Float64Array(4*x),S=new Float64Array(4*x),L=0,C=0,I=0,D=0,O=\"log\"===r.type?r.d2l:function(t){return t},F=\"log\"===n.type?n.d2l:function(t){return t};for(f=0;f<x;++f)this.xData[f]=d=O(l[f]),this.yData[f]=p=F(h[f]),isNaN(d)||isNaN(p)||(w[L++]=f,k[C++]=d,k[C++]=p,m=A[I++]=d-b[f].xs||0,v=A[I++]=b[f].xh-d||0,A[I++]=0,A[I++]=0,S[D++]=0,S[D++]=0,g=S[D++]=p-b[f].ys||0,y=S[D++]=b[f].yh-p||0,a[0]=Math.min(a[0],d-m),a[1]=Math.min(a[1],p-g),a[2]=Math.max(a[2],d+v),a[3]=Math.max(a[3],p+y));k=M(k,C),this.idToIndex=w,this.updateLines(t,k),this.updateError(\"X\",t,k,A),this.updateError(\"Y\",t,k,S);var j,N;if(o&&o.length)for(N={},f=0;f<o.length;f++)N[o[f].pointNumber]=!0;if(this.hasMarkers){this.scatter.options.positions=k,this.scatter.options.sizes=new Array(L),this.scatter.options.glyphs=new Array(L),this.scatter.options.borderWidths=new Array(L),this.scatter.options.colors=new Array(4*L),this.scatter.options.borderColors=new Array(4*L);var B,U,V,H,q,G,Y,W,X,Z,J=T(t),K=t.marker,Q=K.opacity,$=t.opacity,tt=R(K.symbol,x),et=s(K,Q,$,x),rt=P(K.line.width,x),nt=s(K.line,Q,$,x);for(j=i(J,K.size,x),f=0;f<L;++f)B=w[f],V=tt[B],H=E[V],q=u(V),G=N&&!N[B],Y=H.noBorder&&!q?nt:et,W=q?et:nt,U=j[B],X=rt[B],Z=H.noBorder||H.noFill?.1*U:0,this.scatter.options.sizes[f]=4*U,this.scatter.options.glyphs[f]=H.unicode,this.scatter.options.borderWidths[f]=.5*(X>Z?X-Z:0),!q||H.noBorder||H.noFill?c(this.scatter.options.colors,Y,f,B,G):c(this.scatter.options.colors,z,f,0),c(this.scatter.options.borderColors,W,f,B,G);N?(this.scatter.options.positions=null,this.fancyScatter.update(),this.scatter.options.positions=k):this.fancyScatter.update()}else this.fancyScatter.clear();this.scatter.clear(),this.expandAxesFancy(l,h,j)},D.updateLines=function(t,e){var r;if(this.hasLines){var n=e;if(!t.connectgaps){var i=0,a=this.xData,s=this.yData;for(n=new Float64Array(2*a.length),r=0;r<a.length;++r)n[i++]=a[r],n[i++]=s[r]}this.line.options.positions=n;var l=o(t.line.color,t.opacity,1),u=Math.round(.5*this.line.options.width),c=(L[t.line.dash]||[1]).slice();for(r=0;r<c.length;++r)c[r]*=u;switch(t.fill){case\"tozeroy\":this.line.options.fill=[!1,!0,!1,!1];break;case\"tozerox\":this.line.options.fill=[!0,!1,!1,!1];break;default:this.line.options.fill=[!1,!1,!1,!1]}var h=w(t.fillcolor);this.line.options.color=l,this.line.options.width=2*t.line.width,this.line.options.dashes=c,this.line.options.fillColor=[h,h,h,h],this.line.update()}else this.line.clear()},D.updateError=function(t,e,r,n){var i=this[\"error\"+t],a=e[\"error_\"+t.toLowerCase()];\"x\"===t.toLowerCase()&&a.copy_ystyle&&(a=e.error_y),this[\"hasError\"+t]?(i.options.positions=r,i.options.errors=n,i.options.capSize=a.width,i.options.lineWidth=a.thickness/2,i.options.color=o(a.color,1,1),i.update()):i.clear()},D.expandAxesFast=function(t,e){for(var r,n,i,a=e||10,o=0;o<2;o++)r=this.scene[I[o]],n=r._min,n||(n=[]),n.push({val:t[o],pad:a}),i=r._max,i||(i=[]),i.push({val:t[o+2],pad:a})},D.expandAxesFancy=function(t,e,r){var n=this.scene,i={padded:!0,ppad:r};b.expand(n.xaxis,t,i),b.expand(n.yaxis,e,i)},D.dispose=function(){this.line.dispose(),this.errorX.dispose(),this.errorY.dispose(),this.scatter.dispose(),this.fancyScatter.dispose()},e.exports=f},{\"../../components/errorbars\":634,\"../../constants/gl2d_dashes\":702,\"../../constants/gl2d_markers\":703,\"../../constants/interactions\":706,\"../../lib\":728,\"../../lib/gl_format_color\":724,\"../../lib/str2rgbarray\":749,\"../../lib/typed_array_truncate\":754,\"../../plots/cartesian/axes\":772,\"../../plots/cartesian/axis_autotype\":773,\"../scatter/get_trace_color\":1040,\"../scatter/make_bubble_size_func\":1047,\"../scatter/subtypes\":1052,\"fast-isnumeric\":131,\"gl-error2d\":159,\"gl-line2d\":170,\"gl-scatter2d\":248,\"gl-scatter2d-sdf\":243}],1080:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/xy_defaults\"),s=t(\"../scatter/marker_defaults\"),l=t(\"../scatter/line_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),c=t(\"../../components/errorbars/defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,f){function d(r,i){return n.coerce(t,e,h,r,i)}var p=o(t,e,f,d);if(!p)return void(e.visible=!1);d(\"text\"),d(\"mode\",p<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(d(\"connectgaps\"),l(t,e,r,f,d)),a.hasMarkers(e)&&s(t,e,r,f,d),d(\"fill\"),\"none\"!==e.fill&&u(t,e,r,d),c(t,e,r,{axis:\"y\"}),c(t,e,r,{axis:\"x\",inherit:\"y\"})}},{\"../../components/errorbars/defaults\":633,\"../../lib\":728,\"../scatter/constants\":1036,\"../scatter/fillcolor_defaults\":1039,\"../scatter/line_defaults\":1043,\"../scatter/marker_defaults\":1048,\"../scatter/subtypes\":1052,\"../scatter/xy_defaults\":1054,\"./attributes\":1077}],1081:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.hoverPoints=t(\"../scatter/hover\"),n.calc=t(\"./calc\"),n.plot=t(\"./convert\"),n.selectPoints=t(\"./select\"),n.moduleType=\"trace\",n.name=\"scattergl\",n.basePlotModule=t(\"../../plots/gl2d\"),n.categories=[\"gl2d\",\"symbols\",\"errorBarsOK\",\"markerColorscale\",\"showLegend\",\"scatter-like\"],n.meta={},e.exports=n},{\"../../plots/gl2d\":808,\"../scatter/colorbar\":1034,\"../scatter/hover\":1041,\"./attributes\":1077,\"./calc\":1078,\"./convert\":1079,\"./defaults\":1080,\"./select\":1082}],1082:[function(t,e,r){\"use strict\";var n=t(\"../scatter/subtypes\");e.exports=function(t,e){var r,i,a,o,s=t.cd,l=t.xaxis,u=t.yaxis,c=[],h=s[0].trace,f=s[0]._glTrace,d=f.scene,p=!n.hasMarkers(h)&&!n.hasText(h);if(!0===h.visible&&!p){if(!1===e)for(r=0;r<s.length;r++)s[r].dim=0;else 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n=t(\"../scattergeo/attributes\"),i=t(\"../scatter/attributes\"),a=t(\"../../plots/mapbox/layout_attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorbar/attributes\"),l=t(\"../../lib/extend\").extendFlat,u=t(\"../../plot_api/edit_types\").overrideAll,c=n.line,h=n.marker;e.exports=u({lon:n.lon,lat:n.lat,mode:l({},i.mode,{dflt:\"markers\"}),text:l({},i.text,{}),hovertext:l({},i.hovertext,{}),line:{color:c.color,width:c.width},connectgaps:i.connectgaps,marker:{symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},opacity:h.opacity,size:h.size,sizeref:h.sizeref,sizemin:h.sizemin,sizemode:h.sizemode,color:h.color,colorscale:h.colorscale,cauto:h.cauto,cmax:h.cmax,cmin:h.cmin,autocolorscale:h.autocolorscale,reversescale:h.reversescale,showscale:h.showscale,colorbar:s},fill:n.fill,fillcolor:i.fillcolor,textfont:a.layers.symbol.textfont,textposition:a.layers.symbol.textposition,hoverinfo:l({},o.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]})},\"calc\",\"nested\")},{\"../../components/colorbar/attributes\":605,\"../../lib/extend\":717,\"../../plot_api/edit_types\":756,\"../../plots/attributes\":770,\"../../plots/mapbox/layout_attributes\":827,\"../scatter/attributes\":1031,\"../scattergeo/attributes\":1069}],1084:[function(t,e,r){\"use 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n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/colorscale/color_attributes\"),o=t(\"../../components/colorbar/attributes\"),s=t(\"../../components/drawing/attributes\").dash,l=t(\"../../lib/extend\").extendFlat,u=n.marker,c=n.line,h=u.line;e.exports={a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},c:{valType:\"data_array\",editType:\"calc\"},sum:{valType:\"number\",dflt:0,min:0,editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),hovertext:l({},n.hovertext,{}),line:{color:c.color,width:c.width,dash:s,shape:l({},c.shape,{values:[\"linear\",\"spline\"]}),smoothing:c.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,cliponaxis:n.cliponaxis,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"]}),fillcolor:n.fillcolor,marker:l({symbol:u.symbol,opacity:u.opacity,maxdisplayed:u.maxdisplayed,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,line:l({width:h.width,editType:\"calc\"},a(\"marker.line\")),gradient:u.gradient,editType:\"calc\"},a(\"marker\"),{showscale:u.showscale,colorbar:o}),textfont:n.textfont,textposition:n.textposition,hoverinfo:l({},i.hoverinfo,{flags:[\"a\",\"b\",\"c\",\"text\",\"name\"]}),hoveron:n.hoveron}},{\"../../components/colorbar/attributes\":605,\"../../components/colorscale/color_attributes\":611,\"../../components/drawing/attributes\":627,\"../../lib/extend\":717,\"../../plots/attributes\":770,\"../scatter/attributes\":1031}],1092:[function(t,e,r){\"use 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n=t(\"../scatter/hover\"),i=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r,a){function o(t,e){y.push(t._hovertitle+\": \"+i.tickText(t,e,\"hover\").text)}var s=n(t,e,r,a);if(s&&!1!==s[0].index){var l=s[0];if(void 0===l.index){var u=1-l.y0/t.ya._length,c=t.xa._length,h=c*u/2,f=c-h;return l.x0=Math.max(Math.min(l.x0,f),h),l.x1=Math.max(Math.min(l.x1,f),h),s}var d=l.cd[l.index];l.a=d.a,l.b=d.b,l.c=d.c,l.xLabelVal=void 0,l.yLabelVal=void 0;var p=l.trace,m=p._ternary,v=d.hi||p.hoverinfo,g=v.split(\"+\"),y=[];return-1!==g.indexOf(\"all\")&&(g=[\"a\",\"b\",\"c\"]),-1!==g.indexOf(\"a\")&&o(m.aaxis,d.a),-1!==g.indexOf(\"b\")&&o(m.baxis,d.b),-1!==g.indexOf(\"c\")&&o(m.caxis,d.c),l.extraText=y.join(\"<br>\"),s}}},{\"../../plots/cartesian/axes\":772,\"../scatter/hover\":1041}],1095:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.plot=t(\"./plot\"),n.style=t(\"./style\"),n.hoverPoints=t(\"./hover\"),n.selectPoints=t(\"./select\"),n.moduleType=\"trace\",n.name=\"scatterternary\",n.basePlotModule=t(\"../../plots/ternary\"),\n",
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a=0,o=0;o<i.length;o++)e=(0|n.words[o])-(0|i.words[o])+a,a=e>>26,this.words[o]=67108863&e;for(;0!==a&&o<n.length;o++)e=(0|n.words[o])+a,a=e>>26,this.words[o]=67108863&e;if(0===a&&o<n.length&&n!==this)for(;o<n.length;o++)this.words[o]=n.words[o];return this.length=Math.max(this.length,o),n!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var k=function(t,e,r){var 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gt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(g,U),i=Math.imul(g,V),i=i+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(p,q)|0,i=i+Math.imul(p,G)|0,i=i+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(h,W)|0,i=i+Math.imul(h,X)|0,i=i+Math.imul(f,W)|0,a=a+Math.imul(f,X)|0;var yt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(x,U),i=Math.imul(x,V),i=i+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(g,q)|0,i=i+Math.imul(g,G)|0,i=i+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(p,W)|0,i=i+Math.imul(p,X)|0,i=i+Math.imul(m,W)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(h,J)|0,i=i+Math.imul(h,K)|0,i=i+Math.imul(f,J)|0,a=a+Math.imul(f,K)|0;var bt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=Math.imul(M,V),i=i+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(x,q)|0,i=i+Math.imul(x,G)|0,i=i+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(g,W)|0,i=i+Math.imul(g,X)|0,i=i+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(p,J)|0,i=i+Math.imul(p,K)|0,i=i+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0,n=n+Math.imul(h,$)|0,i=i+Math.imul(h,tt)|0,i=i+Math.imul(f,$)|0,a=a+Math.imul(f,tt)|0;var xt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=Math.imul(T,V),i=i+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(M,q)|0,i=i+Math.imul(M,G)|0,i=i+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(x,W)|0,i=i+Math.imul(x,X)|0,i=i+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(g,J)|0,i=i+Math.imul(g,K)|0,i=i+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(p,$)|0,i=i+Math.imul(p,tt)|0,i=i+Math.imul(m,$)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(h,rt)|0,i=i+Math.imul(h,nt)|0,i=i+Math.imul(f,rt)|0,a=a+Math.imul(f,nt)|0;var _t=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=Math.imul(L,V),i=i+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(T,q)|0,i=i+Math.imul(T,G)|0,i=i+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(M,W)|0,i=i+Math.imul(M,X)|0,i=i+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(x,J)|0,i=i+Math.imul(x,K)|0,i=i+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(g,$)|0,i=i+Math.imul(g,tt)|0,i=i+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(p,rt)|0,i=i+Math.imul(p,nt)|0,i=i+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(h,at)|0,i=i+Math.imul(h,ot)|0,i=i+Math.imul(f,at)|0,a=a+Math.imul(f,ot)|0;var wt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(z,U),i=Math.imul(z,V),i=i+Math.imul(D,U)|0,a=Math.imul(D,V),n=n+Math.imul(L,q)|0,i=i+Math.imul(L,G)|0,i=i+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(T,W)|0,i=i+Math.imul(T,X)|0,i=i+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(M,J)|0,i=i+Math.imul(M,K)|0,i=i+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(x,$)|0,i=i+Math.imul(x,tt)|0,i=i+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(g,rt)|0,i=i+Math.imul(g,nt)|0,i=i+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(p,at)|0,i=i+Math.imul(p,ot)|0,i=i+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(h,lt)|0,i=i+Math.imul(h,ut)|0,i=i+Math.imul(f,lt)|0,a=a+Math.imul(f,ut)|0;var 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kt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(j,U),i=Math.imul(j,V),i=i+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(O,q)|0,i=i+Math.imul(O,G)|0,i=i+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(z,W)|0,i=i+Math.imul(z,X)|0,i=i+Math.imul(D,W)|0,a=a+Math.imul(D,X)|0,n=n+Math.imul(L,J)|0,i=i+Math.imul(L,K)|0,i=i+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(T,$)|0,i=i+Math.imul(T,tt)|0,i=i+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(M,rt)|0,i=i+Math.imul(M,nt)|0,i=i+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(x,at)|0,i=i+Math.imul(x,ot)|0,i=i+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(g,lt)|0,i=i+Math.imul(g,ut)|0,i=i+Math.imul(y,lt)|0,a=a+Math.imul(y,ut)|0,n=n+Math.imul(p,ht)|0,i=i+Math.imul(p,ft)|0,i=i+Math.imul(m,ht)|0,a=a+Math.imul(m,ft)|0,n=n+Math.imul(h,pt)|0,i=i+Math.imul(h,mt)|0,i=i+Math.imul(f,pt)|0,a=a+Math.imul(f,mt)|0;var At=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(j,q),i=Math.imul(j,G),i=i+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(O,W)|0,i=i+Math.imul(O,X)|0,i=i+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(z,J)|0,i=i+Math.imul(z,K)|0,i=i+Math.imul(D,J)|0,a=a+Math.imul(D,K)|0,n=n+Math.imul(L,$)|0,i=i+Math.imul(L,tt)|0,i=i+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(T,rt)|0,i=i+Math.imul(T,nt)|0,i=i+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(M,at)|0,i=i+Math.imul(M,ot)|0,i=i+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(x,lt)|0,i=i+Math.imul(x,ut)|0,i=i+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(g,ht)|0,i=i+Math.imul(g,ft)|0,i=i+Math.imul(y,ht)|0,a=a+Math.imul(y,ft)|0,n=n+Math.imul(p,pt)|0,i=i+Math.imul(p,mt)|0,i=i+Math.imul(m,pt)|0,a=a+Math.imul(m,mt)|0;var Tt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(j,W),i=Math.imul(j,X),i=i+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(O,J)|0,i=i+Math.imul(O,K)|0,i=i+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(z,$)|0,i=i+Math.imul(z,tt)|0,i=i+Math.imul(D,$)|0,a=a+Math.imul(D,tt)|0,n=n+Math.imul(L,rt)|0,i=i+Math.imul(L,nt)|0,i=i+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(T,at)|0,i=i+Math.imul(T,ot)|0,i=i+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(M,lt)|0,i=i+Math.imul(M,ut)|0,i=i+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(x,ht)|0,i=i+Math.imul(x,ft)|0,i=i+Math.imul(_,ht)|0,a=a+Math.imul(_,ft)|0,n=n+Math.imul(g,pt)|0,i=i+Math.imul(g,mt)|0,i=i+Math.imul(y,pt)|0,a=a+Math.imul(y,mt)|0;var St=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(j,J),i=Math.imul(j,K),i=i+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(O,$)|0,i=i+Math.imul(O,tt)|0,i=i+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(z,rt)|0,i=i+Math.imul(z,nt)|0,i=i+Math.imul(D,rt)|0,a=a+Math.imul(D,nt)|0,n=n+Math.imul(L,at)|0,i=i+Math.imul(L,ot)|0,i=i+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(T,lt)|0,i=i+Math.imul(T,ut)|0,i=i+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(M,ht)|0,i=i+Math.imul(M,ft)|0,i=i+Math.imul(k,ht)|0,a=a+Math.imul(k,ft)|0,n=n+Math.imul(x,pt)|0,i=i+Math.imul(x,mt)|0,i=i+Math.imul(_,pt)|0,a=a+Math.imul(_,mt)|0;var Et=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(j,$),i=Math.imul(j,tt),i=i+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(O,rt)|0,i=i+Math.imul(O,nt)|0,i=i+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(z,at)|0,i=i+Math.imul(z,ot)|0,i=i+Math.imul(D,at)|0,a=a+Math.imul(D,ot)|0,n=n+Math.imul(L,lt)|0,i=i+Math.imul(L,ut)|0,i=i+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(T,ht)|0,i=i+Math.imul(T,ft)|0,i=i+Math.imul(S,ht)|0,a=a+Math.imul(S,ft)|0,n=n+Math.imul(M,pt)|0,i=i+Math.imul(M,mt)|0,i=i+Math.imul(k,pt)|0,a=a+Math.imul(k,mt)|0;var Lt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(j,rt),i=Math.imul(j,nt),i=i+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(O,at)|0,i=i+Math.imul(O,ot)|0,i=i+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(z,lt)|0,i=i+Math.imul(z,ut)|0,i=i+Math.imul(D,lt)|0,a=a+Math.imul(D,ut)|0,n=n+Math.imul(L,ht)|0,\n",
       "i=i+Math.imul(L,ft)|0,i=i+Math.imul(C,ht)|0,a=a+Math.imul(C,ft)|0,n=n+Math.imul(T,pt)|0,i=i+Math.imul(T,mt)|0,i=i+Math.imul(S,pt)|0,a=a+Math.imul(S,mt)|0;var Ct=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(j,at),i=Math.imul(j,ot),i=i+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(O,lt)|0,i=i+Math.imul(O,ut)|0,i=i+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(z,ht)|0,i=i+Math.imul(z,ft)|0,i=i+Math.imul(D,ht)|0,a=a+Math.imul(D,ft)|0,n=n+Math.imul(L,pt)|0,i=i+Math.imul(L,mt)|0,i=i+Math.imul(C,pt)|0,a=a+Math.imul(C,mt)|0;var It=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(j,lt),i=Math.imul(j,ut),i=i+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(O,ht)|0,i=i+Math.imul(O,ft)|0,i=i+Math.imul(R,ht)|0,a=a+Math.imul(R,ft)|0,n=n+Math.imul(z,pt)|0,i=i+Math.imul(z,mt)|0,i=i+Math.imul(D,pt)|0,a=a+Math.imul(D,mt)|0;var zt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,n=Math.imul(j,ht),i=Math.imul(j,ft),i=i+Math.imul(N,ht)|0,a=Math.imul(N,ft),n=n+Math.imul(O,pt)|0,i=i+Math.imul(O,mt)|0,i=i+Math.imul(R,pt)|0,a=a+Math.imul(R,mt)|0;var Dt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,n=Math.imul(j,pt),i=Math.imul(j,mt),i=i+Math.imul(N,pt)|0,a=Math.imul(N,mt);var Pt=(u+n|0)+((8191&i)<<13)|0;return u=(a+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,l[0]=vt,l[1]=gt,l[2]=yt,l[3]=bt,l[4]=xt,l[5]=_t,l[6]=wt,l[7]=Mt,l[8]=kt,l[9]=At,l[10]=Tt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=It,l[16]=zt,l[17]=Dt,l[18]=Pt,0!==u&&(l[19]=u,r.length++),r};Math.imul||(k=u),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?k(this,t,e):r<63?u(this,t,e):r<1024?c(this,t,e):h(this,t,e)},f.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},f.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},f.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},f.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var h=l,f=u,d=0;d<o;d++){var p=r[c+d],m=n[c+d],v=r[c+d+o],g=n[c+d+o],y=h*v-f*g;g=h*g+f*v,v=y,r[c+d]=p+v,n[c+d]=m+g,r[c+d+o]=p-v,n[c+d+o]=m-g,d!==s&&(y=l*h-u*f,f=l*f+u*h,h=y)}},f.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},f.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<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}},f.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},f.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},f.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},f.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),h=new Array(n),f=r.words;f.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,h,n,i);for(var d=0;d<n;d++){var p=s[d]*c[d]-l[d]*h[d];l[d]=s[d]*h[d]+l[d]*c[d],s[d]=p}return this.conjugate(s,l,n),this.transform(s,l,f,a,n,i),this.conjugate(f,a,n),this.normalize13b(f,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),h(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(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=l(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<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){n(\"number\"==typeof t&&t>=0);var i;i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<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>=0&&(0!==c||u>=i);u--){var h=0|this.words[u];this.words[u]=c<<26-a|h>>>a,c=h&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(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(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<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<this.length&&this.words[e]>=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(\"number\"==typeof t),n(t<67108864),t<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&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<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=t.length+r;this._expand(a);var o,s=0;for(i=0;i<t.length;i++){o=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;o-=67108863&l,s=(o>>26)-(l/67108864|0),this.words[i+r]=67108863&o}for(;i<this.length-r;i++)o=(0|this.words[i+r])+s,s=o>>26,this.words[i+r]=67108863&o;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)o=-(0|this.words[i])+s,s=o>>26,this.words[i]=67108863&o;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))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){s=new a(null),s.length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var h=l-1;h>=0;h--){var f=67108864*(0|n.words[i.length+h])+(0|n.words[i.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(i,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(i,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){if(n(!t.isZero()),this.isZero())return{div:new a(0),mod:new a(0)};var i,o,s;return 0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===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)},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!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<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=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()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),h=e.clone();!e.isZero();){for(var f=0,d=1;0==(e.words[0]&d)&&f<26;++f,d<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(h)),i.iushrn(1),o.iushrn(1);for(var p=0,m=1;0==(r.words[0]&m)&&p<26;++p,m<<=1);if(p>0)for(r.iushrn(p);p-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=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=new a(1),o=new a(0),s=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var l=0,u=1;0==(e.words[0]&u)&&l<26;++l,u<<=1);if(l>0)for(e.iushrn(l);l-- >0;)i.isOdd()&&i.iadd(s),i.iushrn(1);for(var c=0,h=1;0==(r.words[0]&h)&&c<26;++c,h<<=1);if(c>0)for(r.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(s),o.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(o)):(r.isub(e),o.isub(i))}var f;return f=0===e.cmpn(1)?i:o,f.cmpn(0)<0&&f.iadd(t),f},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()&&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<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&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];s+=a,a=s>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e=t<0;if(0!==this.negative&&!e)return-1;if(0===this.negative&&e)return 1;this.strip();var r;if(this.length>1)r=1;else{e&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];r=i===t?0:i<t?-1:1}return 0!==this.negative?0|-r:r},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&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>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(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)>=0},a.prototype.gte=function(t){return this.cmp(t)>=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)<=0},a.prototype.lte=function(t){return this.cmp(t)<=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 y(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var A={k256:null,p224:null,p192:null,p25519:null};d.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},d.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),r=this.imulK(r),r=r.iadd(this.tmp),e=r.bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):r.strip(),r},d.prototype.split=function(t,e){t.iushrn(this.n,0,e)},d.prototype.imulK=function(t){return t.imul(this.k)},i(p,d),p.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&i,n=10;n<t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&a)<<4|i>>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},p.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<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(m,d),i(v,d),i(g,d),g.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(A[t])return A[t];var e;if(\"k256\"===t)e=new p;else if(\"p224\"===t)e=new m;else if(\"p192\"===t)e=new v;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new g}return A[t]=e,e},y.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},y.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},y.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},y.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},y.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},y.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return 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c=t(\"./convert\"),h=t(\"./transform\"),f=t(\"./clip\"),d=t(\"./wrap\"),p=t(\"./tile\");i.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,solidChildren:!1,tolerance:3,extent:4096,buffer:64,debug:0},i.prototype.splitTile=function(t,e,r,n,i,l,c){for(var h=[t,e,r,n],d=this.options,m=d.debug,v=null;h.length;){n=h.pop(),r=h.pop(),e=h.pop(),t=h.pop();var g=1<<e,y=a(e,r,n),b=this.tiles[y],x=e===d.maxZoom?0:d.tolerance/(g*d.extent);if(!b&&(m>1&&console.time(\"creation\"),b=this.tiles[y]=p(t,g,r,n,x,e===d.maxZoom),this.tileCoords.push({z:e,x:r,y:n}),m)){m>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,b.numFeatures,b.numPoints,b.numSimplified),console.timeEnd(\"creation\"));var _=\"z\"+e;this.stats[_]=(this.stats[_]||0)+1,this.total++}if(b.source=t,i){if(e===d.maxZoom||e===i)continue;var w=1<<i-e;if(r!==Math.floor(l/w)||n!==Math.floor(c/w))continue}else if(e===d.indexMaxZoom||b.numPoints<=d.indexMaxPoints)continue;if(d.solidChildren||!u(b,d.extent,d.buffer)){b.source=null,m>1&&console.time(\"clipping\");var M,k,A,T,S,E,L=.5*d.buffer/d.extent,C=.5-L,I=.5+L,z=1+L;M=k=A=T=null,S=f(t,g,r-L,r+I,0,o,b.min[0],b.max[0]),E=f(t,g,r+C,r+z,0,o,b.min[0],b.max[0]),S&&(M=f(S,g,n-L,n+I,1,s,b.min[1],b.max[1]),k=f(S,g,n+C,n+z,1,s,b.min[1],b.max[1])),E&&(A=f(E,g,n-L,n+I,1,s,b.min[1],b.max[1]),T=f(E,g,n+C,n+z,1,s,b.min[1],b.max[1])),m>1&&console.timeEnd(\"clipping\"),t.length&&(h.push(M||[],e+1,2*r,2*n),h.push(k||[],e+1,2*r,2*n+1),h.push(A||[],e+1,2*r+1,2*n),h.push(T||[],e+1,2*r+1,2*n+1))}else i&&(v=e)}return v},i.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,o=n.debug,s=1<<t;e=(e%s+s)%s;var l=a(t,e,r);if(this.tiles[l])return h.tile(this.tiles[l],i);o>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var c,f=t,d=e,p=r;!c&&f>0;)f--,d=Math.floor(d/2),p=Math.floor(p/2),c=this.tiles[a(f,d,p)];if(!c||!c.source)return null;if(o>1&&console.log(\"found parent tile z%d-%d-%d\",f,d,p),u(c,i,n.buffer))return h.tile(c,i);o>1&&console.time(\"drilling down\");var m=this.splitTile(c.source,f,d,p,t,e,r);if(o>1&&console.timeEnd(\"drilling down\"),null!==m){var v=1<<t-m;l=a(m,Math.floor(e/v),Math.floor(r/v))}return this.tiles[l]?h.tile(this.tiles[l],i):null}},{\"./clip\":139,\"./convert\":140,\"./tile\":144,\"./transform\":145,\"./wrap\":146}],143:[function(t,e,r){\"use strict\";function n(t,e){var r,n,a,o,s=e*e,l=t.length,u=0,c=l-1,h=[];for(t[u][2]=1,t[c][2]=1;c;){for(n=0,r=u+1;r<c;r++)(a=i(t[r],t[u],t[c]))>n&&(o=r,n=a);n>s?(t[o][2]=n,h.push(u),h.push(o),u=o):(c=h.pop(),u=h.pop())}}function i(t,e,r){var n=e[0],i=e[1],a=r[0],o=r[1],s=t[0],l=t[1],u=a-n,c=o-i;if(0!==u||0!==c){var h=((s-n)*u+(l-i)*c)/(u*u+c*c);h>1?(n=a,i=o):h>0&&(n+=u*h,i+=c*h)}return u=s-n,c=l-i,u*u+c*c}e.exports=n},{}],144:[function(t,e,r){\"use strict\";function n(t,e,r,n,a,o){for(var s={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z2:e,transformed:!1,min:[2,1],max:[-1,0]},l=0;l<t.length;l++){s.numFeatures++,i(s,t[l],a,o);var u=t[l].min,c=t[l].max;u[0]<s.min[0]&&(s.min[0]=u[0]),u[1]<s.min[1]&&(s.min[1]=u[1]),c[0]>s.max[0]&&(s.max[0]=c[0]),c[1]>s.max[1]&&(s.max[1]=c[1])}return s}function i(t,e,r,n){var i,o,s,l,u=e.geometry,c=e.type,h=[],f=r*r;if(1===c)for(i=0;i<u.length;i++)h.push(u[i]),t.numPoints++,t.numSimplified++;else for(i=0;i<u.length;i++)if(s=u[i],n||!(2===c&&s.dist<r||3===c&&s.area<f)){var d=[];for(o=0;o<s.length;o++)l=s[o],(n||l[2]>f)&&(d.push(l),t.numSimplified++),t.numPoints++;3===c&&a(d,s.outer),h.push(d)}else t.numPoints+=s.length;if(h.length){var p={geometry:h,type:c,tags:e.tags||null};null!==e.id&&(p.id=e.id),t.features.push(p)}}function a(t,e){o(t)<0===e&&t.reverse()}function o(t){for(var e,r,n=0,i=0,a=t.length,o=a-1;i<a;o=i++)e=t[i],r=t[o],n+=(r[0]-e[0])*(e[1]+r[1]);return n}e.exports=n},{}],145:[function(t,e,r){\"use 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o=t(\"./clip\"),s=t(\"./feature\");e.exports=n},{\"./clip\":139,\"./feature\":141}],147:[function(t,e,r){function n(t,e){if(\"string\"!=typeof t)throw new TypeError(\"must specify type string\");if(e=e||{},\"undefined\"==typeof document&&!e.canvas)return null;var r=e.canvas||document.createElement(\"canvas\");\"number\"==typeof e.width&&(r.width=e.width),\"number\"==typeof e.height&&(r.height=e.height);var n,i=e;try{var a=[t];0===t.indexOf(\"webgl\")&&a.push(\"experimental-\"+t);for(var o=0;o<a.length;o++)if(n=r.getContext(a[o],i))return n}catch(t){n=null}return n||null}e.exports=n},{}],148:[function(t,e,r){\"use strict\";function n(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function 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a(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}function o(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<3;++c)if(e!==c){var h=a,f=s,d=o,p=l\n",
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p=0;p<3;++p)h[d][p]!==this.bounds[d][p]&&(c=!0),this.bounds[d][p]=h[d][p];if(\"ticks\"in t){r=t.ticks,s=!0,this.autoTicks=!1;for(var d=0;d<3;++d)this.tickSpacing[d]=0}else n(\"tickSpacing\")&&(this.autoTicks=!0,c=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),c=!0,s=!0,this._firstInit=!1),c&&this.autoTicks&&(r=f.create(this.bounds,this.tickSpacing),s=!0),s){for(var d=0;d<3;++d)r[d].sort(function(t,e){return t.x-e.x});f.equal(r,this.ticks)?s=!1:this.ticks=r}i(\"tickEnable\"),a(\"tickFont\")&&(s=!0),n(\"tickSize\"),n(\"tickAngle\"),n(\"tickPad\"),o(\"tickColor\");var m=a(\"labels\");a(\"labelFont\")&&(m=!0),i(\"labelEnable\"),n(\"labelSize\"),n(\"labelPad\"),o(\"labelColor\"),i(\"lineEnable\"),i(\"lineMirror\"),n(\"lineWidth\"),o(\"lineColor\"),i(\"lineTickEnable\"),i(\"lineTickMirror\"),n(\"lineTickLength\"),n(\"lineTickWidth\"),o(\"lineTickColor\"),i(\"gridEnable\"),n(\"gridWidth\"),o(\"gridColor\"),i(\"zeroEnable\"),o(\"zeroLineColor\"),n(\"zeroLineWidth\"),i(\"backgroundEnable\"),o(\"backgroundColor\"),this._text?this._text&&(m||s)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=l(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&s&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=u(this.gl,this.bounds,this.ticks))};var m=[new a,new a,new a],v=[0,0,0],g={model:d,view:d,projection:d};p.isOpaque=function(){return!0},p.isTransparent=function(){return!1},p.drawTransparent=function(t){};var y=[0,0,0],b=[0,0,0],x=[0,0,0];p.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||d,i=t.view||d,a=t.projection||d,s=this.bounds,l=h(r,i,a,s),u=l.cubeEdges,c=l.axis,f=i[12],p=i[13],_=i[14],w=i[15],M=this.pixelRatio*(a[3]*f+a[7]*p+a[11]*_+a[15]*w)/e.drawingBufferHeight,k=0;k<3;++k)this.lastCubeProps.cubeEdges[k]=u[k],this.lastCubeProps.axis[k]=c[k];for(var A=m,k=0;k<3;++k)o(m[k],k,this.bounds,u,c);for(var e=this.gl,T=v,k=0;k<3;++k)this.backgroundEnable[k]?T[k]=c[k]:T[k]=0;this._background.draw(r,i,a,s,T,this.backgroundColor),this._lines.bind(r,i,a,this);for(var k=0;k<3;++k){var S=[0,0,0];c[k]>0?S[k]=s[1][k]:S[k]=s[0][k];for(var E=0;E<2;++E){var L=(k+1+E)%3,C=(k+1+(1^E))%3;this.gridEnable[L]&&this._lines.drawGrid(L,C,this.bounds,S,this.gridColor[L],this.gridWidth[L]*this.pixelRatio)}for(var E=0;E<2;++E){var L=(k+1+E)%3,C=(k+1+(1^E))%3;this.zeroEnable[C]&&s[0][C]<=0&&s[1][C]>=0&&this._lines.drawZero(L,C,this.bounds,S,this.zeroLineColor[C],this.zeroLineWidth[C]*this.pixelRatio)}}for(var k=0;k<3;++k){this.lineEnable[k]&&this._lines.drawAxisLine(k,this.bounds,A[k].primalOffset,this.lineColor[k],this.lineWidth[k]*this.pixelRatio),this.lineMirror[k]&&this._lines.drawAxisLine(k,this.bounds,A[k].mirrorOffset,this.lineColor[k],this.lineWidth[k]*this.pixelRatio);for(var I=n(y,A[k].primalMinor),z=n(b,A[k].mirrorMinor),D=this.lineTickLength,E=0;E<3;++E){var P=M/r[5*E];I[E]*=D[E]*P,z[E]*=D[E]*P}this.lineTickEnable[k]&&this._lines.drawAxisTicks(k,A[k].primalOffset,I,this.lineTickColor[k],this.lineTickWidth[k]*this.pixelRatio),this.lineTickMirror[k]&&this._lines.drawAxisTicks(k,A[k].mirrorOffset,z,this.lineTickColor[k],this.lineTickWidth[k]*this.pixelRatio)}this._text.bind(r,i,a,this.pixelRatio);for(var k=0;k<3;++k){for(var O=A[k].primalMinor,R=n(x,A[k].primalOffset),E=0;E<3;++E)this.lineTickEnable[k]&&(R[E]+=M*O[E]*Math.max(this.lineTickLength[E],0)/r[5*E]);if(this.tickEnable[k]){for(var E=0;E<3;++E)R[E]+=M*O[E]*this.tickPad[E]/r[5*E];this._text.drawTicks(k,this.tickSize[k],this.tickAngle[k],R,this.tickColor[k])}if(this.labelEnable[k]){for(var E=0;E<3;++E)R[E]+=M*O[E]*this.labelPad[E]/r[5*E];R[k]+=.5*(s[0][k]+s[1][k]),this._text.drawLabel(k,this.labelSize[k],this.labelAngle[k],R,this.labelColor[k])}}},p.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":149,\"./lib/cube.js\":150,\"./lib/lines.js\":151,\"./lib/text.js\":153,\"./lib/ticks.js\":154}],149:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}function i(t){for(var e=[],r=[],i=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,h=[0,0,0],f=[0,0,0],d=-1;d<=1;d+=2){r.push(i,i+2,i+1,i+1,i+2,i+3),h[l]=d,f[l]=d;for(var p=-1;p<=1;p+=2){h[u]=p;for(var m=-1;m<=1;m+=2)h[c]=m,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),i+=1}var v=u;u=c,c=v}var g=a(t,new 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s=t(\"gl-buffer\"),l=t(\"gl-vao\"),u=t(\"./shaders\").line,c=[0,0,0],h=[0,0,0],f=[0,0,0],d=[0,0,0],p=[1,1],m=a.prototype;m.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,p[0]=this.gl.drawingBufferWidth,p[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=p,this.vao.bind()},m.drawAxisLine=function(t,e,r,a,o){var s=n(h);this.shader.uniforms.majorAxis=h,s[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=s;var l=i(d,r);l[t]+=e[0][t],this.shader.uniforms.offset=l,this.shader.uniforms.lineWidth=o,this.shader.uniforms.color=a;var u=n(f);u[(t+2)%3]=1,this.shader.uniforms.screenAxis=u,this.vao.draw(this.gl.TRIANGLES,6);var u=n(f);u[(t+1)%3]=1,this.shader.uniforms.screenAxis=u,this.vao.draw(this.gl.TRIANGLES,6)},m.drawAxisTicks=function(t,e,r,i,a){if(this.tickCount[t]){var o=n(c);o[t]=1,this.shader.uniforms.majorAxis=o,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=i,this.shader.uniforms.lineWidth=a;var s=n(f);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},m.drawGrid=function(t,e,r,a,o,s){if(this.gridCount[t]){var l=n(h);l[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=l;var u=i(d,a);u[e]+=r[0][e],this.shader.uniforms.offset=u;var p=n(c);p[t]=1,this.shader.uniforms.majorAxis=p;var m=n(f);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=s,this.shader.uniforms.color=o,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},m.drawZero=function(t,e,r,a,o,s){var l=n(h);this.shader.uniforms.majorAxis=l,l[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=l;var u=i(d,a);u[t]+=r[0][t],this.shader.uniforms.offset=u;var 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- pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\",\"precision mediump float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\",null,[{name:\"position\",type:\"vec3\"}])};r.text=function(t){return n(t,\"#define GLSLIFY 1\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvoid main() {  \\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n  mat2 planeXform = scale * mat2(cos(angle), sin(angle),\\n                                -sin(angle), cos(angle));\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n  vec4 worldPosition = model * vec4(dataPosition, 1);\\n  \\n  //Compute clip 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n=t(\"./1.0/numbers\");e.exports=function(t){return n[t]}},{\"./1.0/numbers\":157}],159:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.plot=t,this.shader=e,this.bufferHi=r,this.bufferLo=n,this.bounds=[1/0,1/0,-1/0,-1/0],this.numPoints=0,this.color=[0,0,0,1]}function i(t,e){var r=a(t.gl,l.vertex,l.fragment),i=o(t.gl),s=o(t.gl),u=new n(t,r,i,s);return u.update(e),t.addObject(u),u}var a=t(\"gl-shader\"),o=t(\"gl-buffer\"),s=t(\"typedarray-pool\"),l=t(\"./lib/shaders\");e.exports=i;var 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n(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}function i(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}function a(t,e,r,n){for(var i=f[n],a=0;a<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}function o(t){var e=t.gl,r=s(e),i=l(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}]),a=u(e);a.attributes.position.location=0,a.attributes.color.location=1,a.attributes.offset.location=2;var o=new n(e,r,i,a);return o.update(t),o}e.exports=o;var s=t(\"gl-buffer\"),l=t(\"gl-vao\"),u=t(\"./shaders/index\"),c=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],h=n.prototype;h.isOpaque=function(){return this.opacity>=1},h.isTransparent=function(){return this.opacity<1},h.drawTransparent=h.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||c,i=r.projection=t.projection||c;r.model=t.model||c,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],o=n[13],s=n[14],l=n[15],u=this.pixelRatio*(i[3]*a+i[7]*o+i[11]*s+i[15]*l)/e.drawingBufferHeight;this.vao.bind();for(var h=0;h<3;++h)e.lineWidth(this.lineWidth[h]),r.capSize=this.capSize[h]*u,this.lineCount[h]&&e.drawArrays(e.LINES,this.lineOffset[h],this.lineCount[h]);this.vao.unbind()};var f=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=(n+e)%3,o=[0,0,0];o[a]=i,r.push(o)}t[e]=r}return t}();h.update=function(t){t=t||{},\"lineWidth\"in t&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),\"capSize\"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),\"opacity\"in t&&(this.opacity=t.opacity);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&&n){var o=[],s=r.length,l=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var u=0;u<3;++u){this.lineOffset[u]=l;t:for(var c=0;c<s;++c){for(var h=r[c],f=0;f<3;++f)if(isNaN(h[f])||!isFinite(h[f]))continue t;var d=n[c],p=e[u];if(Array.isArray(p[0])&&(p=e[c]),3===p.length&&(p=[p[0],p[1],p[2],1]),!isNaN(d[0][u])&&!isNaN(d[1][u])){if(d[0][u]<0){var m=h.slice();m[u]+=d[0][u],o.push(h[0],h[1],h[2],p[0],p[1],p[2],p[3],0,0,0,m[0],m[1],m[2],p[0],p[1],p[2],p[3],0,0,0),i(this.bounds,m),l+=2+a(o,m,p,u)}if(d[1][u]>0){var m=h.slice();m[u]+=d[1][u],o.push(h[0],h[1],h[2],p[0],p[1],p[2],p[3],0,0,0,m[0],m[1],m[2],p[0],p[1],p[2],p[3],0,0,0),i(this.bounds,m),l+=2+a(o,m,p,u)}}}this.lineCount[u]=l-this.lineOffset[u]}this.buffer.update(o)}},h.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{\"./shaders/index\":163,\"gl-buffer\":156,\"gl-vao\":271}],162:[function(t,e,r){e.exports=function(t){\"string\"==typeof t&&(t=[t]);for(var e=[].slice.call(arguments,1),r=[],n=0;n<t.length-1;n++)r.push(t[n],e[n]||\"\");return r.push(t[n]),r.join(\"\")}},{}],163:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision mediump 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}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if(any(lessThan(fragPosition, clipBounds[0])) || any(greaterThan(fragPosition, clipBounds[1]))) {\\n    discard;\\n  }\\n  gl_FragColor = opacity * fragColor;\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},{\"gl-shader\":255,glslify:162}],164:[function(t,e,r){\"use strict\";function n(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function i(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function a(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);y=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(var a=n;a<r;++a)i[a]=t.NONE;y[n]=i}}function o(t){switch(t){case p:throw new Error(\"gl-fbo: Framebuffer unsupported\");case m:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case v:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case g:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function s(t,e,r,n,i,a){if(!n)return null;var o=d(t,e,r,i,n);return o.magFilter=t.NEAREST,o.minFilter=t.NEAREST,o.mipSamples=1,o.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,a,t.TEXTURE_2D,o.handle,0),o}function l(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 u(t){var e=n(t.gl),r=t.gl,a=t.handle=r.createFramebuffer(),u=t._shape[0],c=t._shape[1],h=t.color.length,f=t._ext,d=t._useStencil,p=t._useDepth,m=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,a);for(var v=0;v<h;++v)t.color[v]=s(r,u,c,m,r.RGBA,r.COLOR_ATTACHMENT0+v);0===h?(t._color_rb=l(r,u,c,r.RGBA4,r.COLOR_ATTACHMENT0),f&&f.drawBuffersWEBGL(y[0])):h>1&&f.drawBuffersWEBGL(y[h]);var g=r.getExtension(\"WEBGL_depth_texture\");g?d?t.depth=s(r,u,c,g.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):p&&(t.depth=s(r,u,c,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):p&&d?t._depth_rb=l(r,u,c,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):p?t._depth_rb=l(r,u,c,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=l(r,u,c,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var b=r.checkFramebufferStatus(r.FRAMEBUFFER);if(b!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(var v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),i(r,e),o(b)}i(r,e)}function c(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 l=0;l<i;++l)this.color[l]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var c=this,h=[0|e,0|r];Object.defineProperties(h,{0:{get:function(){return c._shape[0]},set:function(t){return c.width=t}},1:{get:function(){return c._shape[1]},set:function(t){return c.height=t}}}),this._shapeVector=h,u(this)}function h(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var a=t.gl,s=a.getParameter(a.MAX_RENDERBUFFER_SIZE);if(e<0||e>s||r<0||r>s)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var l=n(a),u=0;u<t.color.length;++u)t.color[u].shape=t._shape;t._color_rb&&(a.bindRenderbuffer(a.RENDERBUFFER,t._color_rb),a.renderbufferStorage(a.RENDERBUFFER,a.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(a.bindRenderbuffer(a.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?a.renderbufferStorage(a.RENDERBUFFER,a.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?a.renderbufferStorage(a.RENDERBUFFER,a.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&a.renderbufferStorage(a.RENDERBUFFER,a.STENCIL_INDEX,t._shape[0],t._shape[1])),a.bindFramebuffer(a.FRAMEBUFFER,t.handle);var c=a.checkFramebufferStatus(a.FRAMEBUFFER);c!==a.FRAMEBUFFER_COMPLETE&&(t.dispose(),i(a,l),o(c)),i(a,l)}}function f(t,e,r,n){p||(p=t.FRAMEBUFFER_UNSUPPORTED,m=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,v=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,g=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var i=t.getExtension(\"WEBGL_draw_buffers\");if(!y&&i&&a(t,i),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var o=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>o||r<0||r>o)throw new Error(\"gl-fbo: Parameters are too large for FBO\");n=n||{};var s=1;if(\"color\"in n){if((s=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(s>1){if(!i)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(s>t.getParameter(i.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+s+\" draw buffers\")}}var l=t.UNSIGNED_BYTE,u=t.getExtension(\"OES_texture_float\");if(n.float&&s>0){if(!u)throw new Error(\"gl-fbo: Context does not support floating point textures\");l=t.FLOAT}else n.preferFloat&&s>0&&u&&(l=t.FLOAT);var h=!0;\"depth\"in n&&(h=!!n.depth);var f=!1;return\"stencil\"in n&&(f=!!n.stencil),new c(t,e,r,l,s,h,f,i)}var d=t(\"gl-texture2d\");e.exports=f;var p,m,v,g,y=null,b=c.prototype;Object.defineProperties(b,{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(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return h(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return t|=0,h(this,t,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,h(this,this._shape[0],t),t},enumerable:!1}}),b.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])}},b.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":267}],165:[function(t,e,r){function n(t,e,r){\"use strict\";var n=o(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===a.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var u=i(\"Error compiling %s shader %s:\\n\",l,n),c=i(\"%s%s\",u,t),h=t.split(\"\\n\"),f={},d=0;d<h.length;d++){var p=h[d];if(\"\"!==p){var m=parseInt(p.split(\":\")[2]);if(isNaN(m))throw new Error(i(\"Could not parse error: %s\",p));f[m]=p}}for(var v=s(e).split(\"\\n\"),d=0;d<v.length;d++)if(f[d+3]||f[d+2]||f[d+1]){var g=v[d];if(u+=g+\"\\n\",f[d+1]){var y=f[d+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),u+=i(\"^^^ %s\\n\\n\",y)}}return{long:u.trim(),short:c.trim()}}var i=t(\"sprintf-js\").sprintf,a=t(\"gl-constants/lookup\"),o=t(\"glsl-shader-name\"),s=t(\"add-line-numbers\");e.exports=n},{\"add-line-numbers\":40,\"gl-constants/lookup\":158,\"glsl-shader-name\":279,\"sprintf-js\":527}],166:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}function i(t,e){var r=t.gl,i=l(r,c.vertex,c.fragment),a=l(r,c.pickVertex,c.pickFragment),o=u(r),s=u(r),h=u(r),f=u(r),d=new n(t,i,a,o,s,h,f);return d.update(e),t.addObject(d),d}e.exports=i;var a=t(\"binary-search-bounds\"),o=t(\"iota-array\"),s=t(\"typedarray-pool\"),l=t(\"gl-shader\"),u=t(\"gl-buffer\"),c=t(\"./lib/shaders\"),h=n.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=function(){var t=[1,0,0,0,1,0,0,0,1];return function(){var e=this.plot,r=this.shader,n=this.bounds,i=this.numVertices;if(!(i<=0)){var a=e.gl,o=e.dataBox,s=n[2]-n[0],l=n[3]-n[1],u=o[2]-o[0],c=o[3]-o[1];t[0]=2*s/u,t[4]=2*l/c,t[6]=2*(n[0]-o[0])/u-1,t[7]=2*(n[1]-o[1])/c-1,r.bind();var h=r.uniforms;h.viewTransform=t,h.shape=this.shape;var f=r.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(a.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(a.UNSIGNED_BYTE,!0),a.drawArrays(a.TRIANGLES,0,i)}}}(),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*u/h,t[4]=2*c/f,t[6]=2*(a[0]-l[0])/h-1,t[7]=2*(a[1]-l[1])/f-1;for(var d=0;d<4;++d)e[d]=r>>8*d&255;this.pickOffset=r,i.bind();var p=i.uniforms;p.viewTransform=t,p.pickOffset=e,p.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},h.update=function(t){t=t||{};var e=t.shape||[0,0],r=t.x||o(e[0]),n=t.y||o(e[1]),i=t.z||new Float32Array(e[0]*e[1]);this.xData=r,this.yData=n;var l=t.colorLevels||[0],u=t.colorValues||[0,0,0,1],c=l.length,h=this.bounds,d=h[0]=r[0],p=h[1]=n[0],m=h[2]=r[r.length-1],v=h[3]=n[n.length-1],g=1/(m-d),y=1/(v-p),b=e[0],x=e[1];this.shape=[b,x];var _=(b-1)*(x-1)*(f.length>>>1);this.numVertices=_;for(var w=s.mallocUint8(4*_),M=s.mallocFloat32(2*_),k=s.mallocUint8(2*_),A=s.mallocUint32(_),T=0,S=0;S<x-1;++S)for(var E=y*(n[S]-p),L=y*(n[S+1]-p),C=0;C<b-1;++C)for(var I=g*(r[C]-d),z=g*(r[C+1]-d),D=0;D<f.length;D+=2){var P,O,R,F,j=f[D],N=f[D+1],B=(S+N)*b+(C+j),U=i[B],V=a.le(l,U);if(V<0)P=u[0],O=u[1],R=u[2],F=u[3];else if(V===c-1)P=u[4*c-4],O=u[4*c-3],R=u[4*c-2],F=u[4*c-1];else{var H=(U-l[V])/(l[V+1]-l[V]),q=1-H,G=4*V,Y=4*(V+1);P=q*u[G]+H*u[Y],O=q*u[G+1]+H*u[Y+1],R=q*u[G+2]+H*u[Y+2],F=q*u[G+3]+H*u[Y+3]}w[4*T]=255*P,w[4*T+1]=255*O,w[4*T+2]=255*R,w[4*T+3]=255*F,M[2*T]=.5*I+.5*z,M[2*T+1]=.5*E+.5*L,k[2*T]=j,k[2*T+1]=N,A[T]=S*b+C,T+=1}this.positionBuffer.update(M),this.weightBuffer.update(k),this.colorBuffer.update(w),this.idBuffer.update(A),s.free(M),s.free(w),s.free(k),s.free(A)},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":167,\"binary-search-bounds\":168,\"gl-buffer\":156,\"gl-shader\":255,\"iota-array\":293,\"typedarray-pool\":541}],167:[function(t,e,r){\"use strict\";e.exports={fragment:\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\",vertex:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\",pickFragment:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\",pickVertex:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"}},{}],168:[function(t,e,r){arguments[4][84][0].apply(r,arguments)},{dup:84}],169:[function(t,e,r){r.lineVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo, dHi, dLo;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo, screenShape;\\nuniform float width;\\n\\nvarying vec2 direction;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvec2 project_2_1(vec2 scHi, vec2 scLo, vec2 posHi, vec2 posLo) {\\n  return scHi * posHi\\n       + scLo * posHi\\n       + scHi * posLo\\n       + scLo * posLo;\\n}\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  vec2 dir = project_2_1(scaleHi, scaleLo, dHi, dLo);\\n  vec2 n = 0.5 * width * normalize(screenShape.yx * vec2(dir.y, -dir.x)) / screenShape.xy;\\n  vec2 tangent = normalize(screenShape.xy * dir);\\n  if(dir.x < 0.0 || (dir.x == 0.0 && dir.y < 0.0)) {\\n    direction = -tangent;\\n  } else {\\n    direction = tangent;\\n  }\\n  gl_Position = vec4(p + n, 0.0, 1.0);\\n}\",r.lineFragment=\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nuniform vec2 screenShape;\\nuniform sampler2D dashPattern;\\nuniform float dashLength;\\n\\nvarying vec2 direction;\\n\\nvoid main() {\\n  float t = fract(dot(direction, gl_FragCoord.xy) / dashLength);\\n  vec4 pcolor = color * texture2D(dashPattern, vec2(t, 0.0)).r;\\n  gl_FragColor = vec4(pcolor.rgb * pcolor.a, pcolor.a);\\n}\",r.mitreVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo;\\nuniform float radius;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  gl_Position = vec4(p, 0.0, 1.0);\\n  gl_PointSize = radius;\\n}\",r.mitreFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  if(length(gl_PointCoord.xy - 0.5) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = vec4(color.rgb, color.a);\\n}\",r.pickVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo, dHi;\\nattribute vec4 pick0, pick1;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo, screenShape;\\nuniform float width;\\n\\nvarying vec4 pickA, pickB;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  vec2 n = width * normalize(screenShape.yx * vec2(dHi.y, -dHi.x)) / screenShape.xy;\\n  gl_Position = vec4(p + n, 0, 1);\\n  pickA = pick0;\\n  pickB = pick1;\\n}\",r.pickFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 pickOffset;\\n\\nvarying vec4 pickA, pickB;\\n\\nvoid main() {\\n  vec4 fragId = vec4(pickA.xyz, 0.0);\\n  if(pickB.w > pickA.w) {\\n    fragId.xyz = pickB.xyz;\\n  }\\n\\n  fragId += pickOffset;\\n\\n  fragId.y += floor(fragId.x / 256.0);\\n  fragId.x -= floor(fragId.x / 256.0) * 256.0;\\n\\n  fragId.z += floor(fragId.y / 256.0);\\n  fragId.y -= floor(fragId.y / 256.0) * 256.0;\\n\\n  fragId.w += floor(fragId.z / 256.0);\\n  fragId.z -= floor(fragId.z / 256.0) * 256.0;\\n\\n  gl_FragColor = fragId / 255.0;\\n}\",r.fillVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo, dHi;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo, projectAxis;\\nuniform float projectValue, depth;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  if(dHi.y < 0.0 || (dHi.y == 0.0 && dHi.x < 0.0)) {\\n    if(dot(p, projectAxis) < projectValue) {\\n      p = p * (1.0 - abs(projectAxis)) + projectAxis * projectValue;\\n    }\\n  }\\n  gl_Position = vec4(p, depth, 1);\\n}\",r.fillFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = vec4(color.rgb * color.a, color.a);\\n}\"},{}],170:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l){this.plot=t,this.dashPattern=e,this.lineBufferHi=r,this.lineBufferLo=n,this.pickBuffer=i,this.lineShader=a,this.mitreShader=o,this.fillShader=s,this.pickShader=l,this.usingDashes=!1,this.bounds=[1/0,1/0,-1/0,-1/0],this.width=1,this.color=[0,0,1,1],this.fill=[!1,!1,!1,!1],this.fillColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.data=null,this.numPoints=0,this.vertCount=0,this.pickOffset=0}function i(t){return t.map(function(t){return t.slice()})}function a(t,e){var r=t.gl,i=s(r),a=s(r),u=s(r),c=l(r,[1,1]),f=o(r,h.lineVertex,h.lineFragment),d=o(r,h.mitreVertex,h.mitreFragment),p=o(r,h.fillVertex,h.fillFragment),m=o(r,h.pickVertex,h.pickFragment),v=new n(t,c,i,a,u,f,d,p,m);return t.addObject(v),v.update(e),v}e.exports=a;var o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"gl-texture2d\"),u=t(\"ndarray\"),c=t(\"typedarray-pool\"),h=t(\"./lib/shaders\"),f=n.prototype;f.setProjectionModel=function(){var t={scaleHi:new Float32Array([0,0]),scaleLo:new Float32Array([0,0]),translateHi:new Float32Array([0,0]),translateLo:new Float32Array([0,0]),screenShape:[0,0]};return function(){var e=this.bounds,r=this.plot.viewBox,n=this.plot.dataBox,i=e[2]-e[0],a=e[3]-e[1],o=n[2]-n[0],s=n[3]-n[1],l=r[2]-r[0],u=r[3]-r[1],c=2*i/o,h=2*a/s,f=(e[0]-n[0]-.5*o)/i,d=(e[1]-n[1]-.5*s)/a;return t.scaleHi[0]=c,t.scaleHi[1]=h,t.scaleLo[0]=c-t.scaleHi[0],t.scaleLo[1]=h-t.scaleHi[1],t.translateHi[0]=f,t.translateHi[1]=d,t.translateLo[0]=f-t.translateHi[0],t.translateLo[1]=d-t.translateHi[1],t.screenShape[0]=l,t.screenShape[1]=u,t}}(),f.setProjectionUniforms=function(t,e){t.scaleHi=e.scaleHi,t.scaleLo=e.scaleLo,t.translateHi=e.translateHi,t.translateLo=e.translateLo,t.screenShape=e.screenShape},f.draw=function(){var t=[1,0],e=[-1,0],r=[0,1],n=[0,-1];return function(){var i=this.vertCount;if(i){var a=this.setProjectionModel(),o=this.plot,s=this.width,l=o.gl,u=o.pixelRatio,c=this.color,h=this.fillShader.attributes;this.lineBufferLo.bind(),h.aLo.pointer(l.FLOAT,!1,16,0),this.lineBufferHi.bind();var f=this.fill;if(f[0]||f[1]||f[2]||f[3]){var d=this.fillShader;d.bind();var p=d.uniforms;this.setProjectionUniforms(p,a),p.depth=o.nextDepthValue(),h.aHi.pointer(l.FLOAT,!1,16,0),h.dHi.pointer(l.FLOAT,!1,16,8),l.depthMask(!0),l.enable(l.DEPTH_TEST);var m=this.fillColor;f[0]&&(p.color=m[0],p.projectAxis=e,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),f[1]&&(p.color=m[1],p.projectAxis=n,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),f[2]&&(p.color=m[2],p.projectAxis=t,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),f[3]&&(p.color=m[3],p.projectAxis=r,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),l.depthMask(!1),l.disable(l.DEPTH_TEST)}var v=this.lineShader;v.bind(),this.lineBufferLo.bind(),v.attributes.aLo.pointer(l.FLOAT,!1,16,0),v.attributes.dLo.pointer(l.FLOAT,!1,16,8),this.lineBufferHi.bind();var g=v.uniforms;this.setProjectionUniforms(g,a),g.color=c,g.width=s*u,g.dashPattern=this.dashPattern.bind(),g.dashLength=this.dashLength*u;var y=v.attributes;if(y.aHi.pointer(l.FLOAT,!1,16,0),y.dHi.pointer(l.FLOAT,!1,16,8),l.drawArrays(l.TRIANGLES,0,i),s>2&&!this.usingDashes){var b=this.mitreShader;this.lineBufferLo.bind(),b.attributes.aLo.pointer(l.FLOAT,!1,48,0),this.lineBufferHi.bind(),b.bind();var x=b.uniforms;this.setProjectionUniforms(x,a),x.color=c,x.radius=s*u,b.attributes.aHi.pointer(l.FLOAT,!1,48,0),l.drawArrays(l.POINTS,0,i/3|0)}}}}(),f.drawPick=function(){var t=[0,0,0,0];return function(e){var r=this.vertCount,n=this.numPoints;if(this.pickOffset=e,!r)return e+n;var i=this.setProjectionModel(),a=this.plot,o=this.width,s=a.gl,l=a.pickPixelRatio,u=this.pickShader,c=this.pickBuffer;t[0]=255&e,t[1]=e>>>8&255,t[2]=e>>>16&255,t[3]=e>>>24,u.bind();var h=u.uniforms;this.setProjectionUniforms(h,i),h.width=o*l,h.pickOffset=t;var f=u.attributes;return this.lineBufferHi.bind(),f.aHi.pointer(s.FLOAT,!1,16,0),f.dHi.pointer(s.FLOAT,!1,16,8),this.lineBufferLo.bind(),f.aLo.pointer(s.FLOAT,!1,16,0),c.bind(),f.pick0.pointer(s.UNSIGNED_BYTE,!1,8,0),f.pick1.pointer(s.UNSIGNED_BYTE,!1,8,4),s.drawArrays(s.TRIANGLES,0,r),e+n}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.numPoints;if(r<n||r>=n+i)return null;var a=r-n,o=this.data;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}},f.update=function(t){t=t||{};var e,r,n,a,o,s=this.plot.gl;this.color=(t.color||[0,0,1,1]).slice(),this.width=+(t.width||1),this.fill=(t.fill||[!1,!1,!1,!1]).slice(),this.fillColor=i(t.fillColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var h=t.dashes||[1],f=0;for(e=0;e<h.length;++e)f+=h[e];var d=c.mallocUint8(f);n=0;var p=255;for(e=0;e<h.length;++e){for(r=0;r<h[e];++r)d[n++]=p;p^=255}this.dashPattern.dispose(),this.usingDashes=h.length>1,this.dashPattern=l(s,u(d,[f,1,4],[1,0,0])),this.dashPattern.minFilter=s.NEAREST,this.dashPattern.magFilter=s.NEAREST,this.dashLength=f,c.free(d);var m=t.positions;this.data=m;var v=this.bounds;v[0]=v[1]=1/0,v[2]=v[3]=-1/0;var g=this.numPoints=m.length>>>1;if(0!==g){for(e=0;e<g;++e)a=m[2*e],o=m[2*e+1],isNaN(a)||isNaN(o)||(v[0]=Math.min(v[0],a),v[1]=Math.min(v[1],o),v[2]=Math.max(v[2],a),v[3]=Math.max(v[3],o));v[0]===v[2]&&(v[2]+=1),v[3]===v[1]&&(v[3]+=1);var y=c.mallocFloat64(24*(g-1)),b=c.mallocFloat32(24*(g-1)),x=c.mallocFloat32(24*(g-1)),_=c.mallocUint32(12*(g-1)),w=b.length,M=_.length;n=g;for(var k=0;n>1;){var A=--n;a=m[2*n],o=m[2*n+1];var T=A-1,S=m[2*T],E=m[2*T+1];if(!(isNaN(a)||isNaN(o)||isNaN(S)||isNaN(E))){k+=1,a=(a-v[0])/(v[2]-v[0]),o=(o-v[1])/(v[3]-v[1]),S=(S-v[0])/(v[2]-v[0]),E=(E-v[1])/(v[3]-v[1]);var L=S-a,C=E-o,I=A|1<<24,z=A-1,D=A,P=A-1|1<<24;y[--w]=-C,y[--w]=-L,y[--w]=o,y[--w]=a,_[--M]=I,_[--M]=z,y[--w]=C,y[--w]=L,y[--w]=E,y[--w]=S,_[--M]=D,_[--M]=P,y[--w]=-C,y[--w]=-L,y[--w]=E,y[--w]=S,_[--M]=D,_[--M]=P,y[--w]=C,y[--w]=L,y[--w]=E,y[--w]=S,_[--M]=D,_[--M]=P,y[--w]=-C,y[--w]=-L,y[--w]=o,y[--w]=a,_[--M]=I,_[--M]=z,y[--w]=C,y[--w]=L,y[--w]=o,y[--w]=a,_[--M]=I,_[--M]=z}}for(e=0;e<y.length;e++)b[e]=y[e],x[e]=y[e]-b[e];this.vertCount=6*k,this.lineBufferHi.update(b.subarray(w)),this.lineBufferLo.update(x.subarray(w)),this.pickBuffer.update(_.subarray(M)),c.free(y),c.free(b),c.free(x),c.free(_)}},f.dispose=function(){this.plot.removeObject(this),this.lineBufferLo.dispose(),this.lineBufferHi.dispose(),this.pickBuffer.dispose(),this.lineShader.dispose(),this.mitreShader.dispose(),this.fillShader.dispose(),this.pickShader.dispose(),this.dashPattern.dispose()}},{\"./lib/shaders\":169,\"gl-buffer\":156,\"gl-shader\":255,\"gl-texture2d\":267,ndarray:467,\"typedarray-pool\":541}],171:[function(t,e,r){var n=t(\"gl-shader\"),i=\"precision mediump 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\\nvoid main() {\\n  vec4 projected = projection * view * model * vec4(position, 1.0);\\n  vec4 tangentClip = projection * view * model * vec4(nextPosition - position, 0.0);\\n  vec2 tangent = normalize(screenShape * tangentClip.xy);\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(tangent.y, -tangent.x) / screenShape;\\n\\n  gl_Position = vec4(projected.xy + projected.w * offset, projected.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\",a=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return n(t,i,\"precision mediump float;\\n#define GLSLIFY 1\\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(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\\n    discard;\\n  }\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\",null,a)},r.createPickShader=function(t){return n(t,i,\"precision mediump float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\nlowp vec4 encode_float_1_0(highp float v) {\\n  highp float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -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\\n\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\\n    discard;\\n  }\\n  gl_FragColor = vec4(pickId/255.0, encode_float_1_0(pixelArcLength).xyz);\\n}\",null,a)}},{\"gl-shader\":255}],172:[function(t,e,r){\"use strict\";function n(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function i(t){\n",
       "for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<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 a(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function o(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.dirty=!0,this.pixelRatio=1}function s(t){var e=t.gl||t.scene&&t.scene.gl,r=m(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 n=v(e);n.attributes.position.location=0,n.attributes.nextPosition.location=1,n.attributes.arcLength.location=2,n.attributes.lineWidth.location=3,n.attributes.color.location=4;for(var i=l(e),a=u(e,[{buffer:i,size:3,offset:0,stride:48},{buffer:i,size:3,offset:12,stride:48},{buffer:i,size:1,offset:24,stride:48},{buffer:i,size:1,offset:28,stride:48},{buffer:i,size:4,offset:32,stride:48}]),s=d(new Array(1024),[256,1,4]),h=0;h<1024;++h)s.data[h]=255;var f=c(e,s);f.wrap=e.REPEAT;var p=new o(e,r,n,i,a,f);return p.update(t),p}e.exports=s;var l=t(\"gl-buffer\"),u=t(\"gl-vao\"),c=t(\"gl-texture2d\"),h=t(\"glsl-read-float\"),f=t(\"binary-search-bounds\"),d=t(\"ndarray\"),p=t(\"./lib/shaders\"),m=p.createShader,v=p.createPickShader,g=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],y=o.prototype;y.isTransparent=function(){return this.opacity<1},y.isOpaque=function(){return this.opacity>=1},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||g,view:t.view||g,projection:t.projection||g,clipBounds:i(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)},y.drawPick=function(t){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||g,view:t.view||g,projection:t.projection||g,pickId:this.pickId,clipBounds:i(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount)},y.update=function(t){var e,r;this.dirty=!0;var i=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),\"opacity\"in t&&(this.opacity=+t.opacity);var a=t.position||t.positions;if(a){var o=t.color||t.colors||[0,0,0,1],s=t.lineWidth||1,l=[],u=[],c=[],h=0,p=0,m=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],v=!1;t:for(e=1;e<a.length;++e){var g=a[e-1],y=a[e];for(u.push(h),c.push(g.slice()),r=0;r<3;++r){if(isNaN(g[r])||isNaN(y[r])||!isFinite(g[r])||!isFinite(y[r])){if(!i&&l.length>0){for(var b=0;b<24;++b)l.push(l[l.length-12]);p+=2,v=!0}continue t}m[0][r]=Math.min(m[0][r],g[r],y[r]),m[1][r]=Math.max(m[1][r],g[r],y[r])}var x,_;Array.isArray(o[0])?(x=o[e-1],_=o[e]):x=_=o,3===x.length&&(x=[x[0],x[1],x[2],1]),3===_.length&&(_=[_[0],_[1],_[2],1]);var w;w=Array.isArray(s)?s[e-1]:s;var M=h;if(h+=n(g,y),v){for(r=0;r<2;++r)l.push(g[0],g[1],g[2],y[0],y[1],y[2],M,w,x[0],x[1],x[2],x[3]);p+=2,v=!1}l.push(g[0],g[1],g[2],y[0],y[1],y[2],M,w,x[0],x[1],x[2],x[3],g[0],g[1],g[2],y[0],y[1],y[2],M,-w,x[0],x[1],x[2],x[3],y[0],y[1],y[2],g[0],g[1],g[2],h,-w,_[0],_[1],_[2],_[3],y[0],y[1],y[2],g[0],g[1],g[2],h,w,_[0],_[1],_[2],_[3]),p+=4}if(this.buffer.update(l),u.push(h),c.push(a[a.length-1].slice()),this.bounds=m,this.vertexCount=p,this.points=c,this.arcLength=u,\"dashes\"in t){var k=t.dashes,A=k.slice();for(A.unshift(0),e=1;e<A.length;++e)A[e]=A[e-1]+A[e];var T=d(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)T.set(e,0,r,0);1&f.le(A,A[A.length-1]*e/255)?T.set(e,0,0,0):T.set(e,0,0,255)}this.texture.setPixels(T)}}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=h(t.value[0],t.value[1],t.value[2],0),r=f.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new a(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)],o=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),s=1-o,l=[0,0,0],u=0;u<3;++u)l[u]=s*n[u]+o*i[u];var c=Math.min(o<.5?r:r+1,this.points.length-1);return new a(e,l,c,this.points[c])}},{\"./lib/shaders\":171,\"binary-search-bounds\":66,\"gl-buffer\":156,\"gl-texture2d\":267,\"gl-vao\":271,\"glsl-read-float\":278,ndarray:467}],173:[function(t,e,r){function n(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}e.exports=n},{}],174:[function(t,e,r){function n(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],h=c*o-s*u,f=-c*a+s*l,d=u*a-o*l,p=r*h+n*f+i*d;return p?(p=1/p,t[0]=h*p,t[1]=(-c*n+i*u)*p,t[2]=(s*n-i*o)*p,t[3]=f*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}e.exports=n},{}],175:[function(t,e,r){function n(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}e.exports=n},{}],176:[function(t,e,r){function n(){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}e.exports=n},{}],177:[function(t,e,r){function n(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],h=t[10],f=t[11],d=t[12],p=t[13],m=t[14],v=t[15];return(e*o-r*a)*(h*v-f*m)-(e*s-n*a)*(c*v-f*p)+(e*l-i*a)*(c*m-h*p)+(r*s-n*o)*(u*v-f*d)-(r*l-i*o)*(u*m-h*d)+(n*l-i*s)*(u*p-c*d)}e.exports=n},{}],178:[function(t,e,r){function n(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,h=n*s,f=i*o,d=i*s,p=i*l,m=a*o,v=a*s,g=a*l;return t[0]=1-h-p,t[1]=c+g,t[2]=f-v,t[3]=0,t[4]=c-g,t[5]=1-u-p,t[6]=d+m,t[7]=0,t[8]=f+v,t[9]=d-m,t[10]=1-u-h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}e.exports=n},{}],179:[function(t,e,r){function n(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,h=n*l,f=n*u,d=i*l,p=i*u,m=a*u,v=o*s,g=o*l,y=o*u;return t[0]=1-(d+m),t[1]=h+y,t[2]=f-g,t[3]=0,t[4]=h-y,t[5]=1-(c+m),t[6]=p+v,t[7]=0,t[8]=f+g,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}e.exports=n},{}],180:[function(t,e,r){function n(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}e.exports=n},{}],181:[function(t,e,r){function n(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],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],v=e[14],g=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,M=i*u-a*l,k=c*m-h*p,A=c*v-f*p,T=c*g-d*p,S=h*v-f*m,E=h*g-d*m,L=f*g-d*v,C=y*L-b*E+x*S+_*T-w*A+M*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*M-v*w+g*_)*C,t[3]=(f*w-h*M-d*_)*C,t[4]=(l*T-o*L-u*A)*C,t[5]=(r*L-i*T+a*A)*C,t[6]=(v*x-p*M-g*b)*C,t[7]=(c*M-f*x+d*b)*C,t[8]=(o*E-s*T+u*k)*C,t[9]=(n*T-r*E-a*k)*C,t[10]=(p*w-m*x+g*y)*C,t[11]=(h*x-c*w-d*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*b-p*_-v*y)*C,t[15]=(c*_-h*b+f*y)*C,t):null}e.exports=n},{}],182:[function(t,e,r){function n(t,e,r,n){var a,o,s,l,u,c,h,f,d,p,m=e[0],v=e[1],g=e[2],y=n[0],b=n[1],x=n[2],_=r[0],w=r[1],M=r[2];return Math.abs(m-_)<1e-6&&Math.abs(v-w)<1e-6&&Math.abs(g-M)<1e-6?i(t):(h=m-_,f=v-w,d=g-M,p=1/Math.sqrt(h*h+f*f+d*d),h*=p,f*=p,d*=p,a=b*d-x*f,o=x*h-y*d,s=y*f-b*h,p=Math.sqrt(a*a+o*o+s*s),p?(p=1/p,a*=p,o*=p,s*=p):(a=0,o=0,s=0),l=f*s-d*o,u=d*a-h*s,c=h*o-f*a,p=Math.sqrt(l*l+u*u+c*c),p?(p=1/p,l*=p,u*=p,c*=p):(l=0,u=0,c=0),t[0]=a,t[1]=l,t[2]=h,t[3]=0,t[4]=o,t[5]=u,t[6]=f,t[7]=0,t[8]=s,t[9]=c,t[10]=d,t[11]=0,t[12]=-(a*m+o*v+s*g),t[13]=-(l*m+u*v+c*g),t[14]=-(h*m+f*v+d*g),t[15]=1,t)}var i=t(\"./identity\");e.exports=n},{\"./identity\":180}],183:[function(t,e,r){function n(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],h=e[8],f=e[9],d=e[10],p=e[11],m=e[12],v=e[13],g=e[14],y=e[15],b=r[0],x=r[1],_=r[2],w=r[3];return t[0]=b*n+x*s+_*h+w*m,t[1]=b*i+x*l+_*f+w*v,t[2]=b*a+x*u+_*d+w*g,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+_*h+w*m,t[5]=b*i+x*l+_*f+w*v,t[6]=b*a+x*u+_*d+w*g,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+_*h+w*m,t[9]=b*i+x*l+_*f+w*v,t[10]=b*a+x*u+_*d+w*g,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+_*h+w*m,t[13]=b*i+x*l+_*f+w*v,t[14]=b*a+x*u+_*d+w*g,t[15]=b*o+x*c+_*p+w*y,t}e.exports=n},{}],184:[function(t,e,r){function n(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}e.exports=n},{}],185:[function(t,e,r){function n(t,e,r,n){var i,a,o,s,l,u,c,h,f,d,p,m,v,g,y,b,x,_,w,M,k,A,T,S,E=n[0],L=n[1],C=n[2],I=Math.sqrt(E*E+L*L+C*C);return Math.abs(I)<1e-6?null:(I=1/I,E*=I,L*=I,C*=I,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],u=e[2],c=e[3],h=e[4],f=e[5],d=e[6],p=e[7],m=e[8],v=e[9],g=e[10],y=e[11],b=E*E*o+a,x=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,M=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,T=L*C*o-E*i,S=C*C*o+a,t[0]=s*b+h*x+m*_,t[1]=l*b+f*x+v*_,t[2]=u*b+d*x+g*_,t[3]=c*b+p*x+y*_,t[4]=s*w+h*M+m*k,t[5]=l*w+f*M+v*k,t[6]=u*w+d*M+g*k,t[7]=c*w+p*M+y*k,t[8]=s*A+h*T+m*S,t[9]=l*A+f*T+v*S,t[10]=u*A+d*T+g*S,t[11]=c*A+p*T+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)}e.exports=n},{}],186:[function(t,e,r){function n(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],h=e[10],f=e[11];return e!==t&&(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]),t[4]=a*i+u*n,t[5]=o*i+c*n,t[6]=s*i+h*n,t[7]=l*i+f*n,t[8]=u*i-a*n,t[9]=c*i-o*n,t[10]=h*i-s*n,t[11]=f*i-l*n,t}e.exports=n},{}],187:[function(t,e,r){function n(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],h=e[10],f=e[11];return e!==t&&(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]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-h*n,t[3]=l*i-f*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+h*i,t[11]=l*n+f*i,t}e.exports=n},{}],188:[function(t,e,r){function n(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],h=e[6],f=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+h*n,t[3]=l*i+f*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=h*i-s*n,t[7]=f*i-l*n,t}e.exports=n},{}],189:[function(t,e,r){function n(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}e.exports=n},{}],190:[function(t,e,r){function n(t,e,r){var n,i,a,o,s,l,u,c,h,f,d,p,m=r[0],v=r[1],g=r[2];return e===t?(t[12]=e[0]*m+e[4]*v+e[8]*g+e[12],t[13]=e[1]*m+e[5]*v+e[9]*g+e[13],t[14]=e[2]*m+e[6]*v+e[10]*g+e[14],t[15]=e[3]*m+e[7]*v+e[11]*g+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],h=e[8],f=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]=h,t[9]=f,t[10]=d,t[11]=p,t[12]=n*m+s*v+h*g+e[12],t[13]=i*m+l*v+f*g+e[13],t[14]=a*m+u*v+d*g+e[14],t[15]=o*m+c*v+p*g+e[15]),t}e.exports=n},{}],191:[function(t,e,r){function n(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}e.exports=n},{}],192:[function(t,e,r){\"use strict\";function n(t,e){switch(e.length){case 0:break;case 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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];return t[0]=o*c-s*u,t[1]=i*u-n*c,t[2]=n*s-i*o,t[3]=s*l-a*c,t[4]=r*c-i*l,t[5]=i*a-r*s,t[6]=a*u-o*l,t[7]=n*l-r*u,t[8]=r*o-n*a,t},i.determinant=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];return e*(u*a-o*l)+r*(-u*i+o*s)+n*(l*i-a*s)},i.multiply=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],h=e[8],f=r[0],d=r[1],p=r[2],m=r[3],v=r[4],g=r[5],y=r[6],b=r[7],x=r[8];return t[0]=f*n+d*o+p*u,t[1]=f*i+d*s+p*c,t[2]=f*a+d*l+p*h,t[3]=m*n+v*o+g*u,t[4]=m*i+v*s+g*c,t[5]=m*a+v*l+g*h,t[6]=y*n+b*o+x*u,t[7]=y*i+b*s+x*c,t[8]=y*a+b*l+x*h,t},i.mul=i.multiply,i.translate=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],h=e[8],f=r[0],d=r[1];return t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=f*n+d*o+u,t[7]=f*i+d*s+c,t[8]=f*a+d*l+h,t},i.rotate=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],h=e[8],f=Math.sin(r),d=Math.cos(r);return t[0]=d*n+f*o,t[1]=d*i+f*s,t[2]=d*a+f*l,t[3]=d*o-f*n,t[4]=d*s-f*i,t[5]=d*l-f*a,t[6]=u,t[7]=c,t[8]=h,t},i.scale=function(t,e,r){var n=r[0],i=r[1];return t[0]=n*e[0],t[1]=n*e[1],t[2]=n*e[2],t[3]=i*e[3],t[4]=i*e[4],t[5]=i*e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t},i.fromTranslation=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=e[0],t[7]=e[1],t[8]=1,t},i.fromRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},i.fromScaling=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=e[1],t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},i.fromMat2d=function(t,e){return t[0]=e[0],t[1]=e[1],t[2]=0,t[3]=e[2],t[4]=e[3],t[5]=0,t[6]=e[4],t[7]=e[5],t[8]=1,t},i.fromQuat=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,h=n*s,f=i*o,d=i*s,p=i*l,m=a*o,v=a*s,g=a*l;return t[0]=1-h-p,t[3]=c-g,t[6]=f+v,t[1]=c+g,t[4]=1-u-p,t[7]=d-m,t[2]=f-v,t[5]=d+m,t[8]=1-u-h,t},i.normalFromMat4=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],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],v=e[14],g=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,M=i*u-a*l,k=c*m-h*p,A=c*v-f*p,T=c*g-d*p,S=h*v-f*m,E=h*g-d*m,L=f*g-d*v,C=y*L-b*E+x*S+_*T-w*A+M*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(l*T-o*L-u*A)*C,t[2]=(o*E-s*T+u*k)*C,t[3]=(i*E-n*L-a*S)*C,t[4]=(r*L-i*T+a*A)*C,t[5]=(n*T-r*E-a*k)*C,t[6]=(m*M-v*w+g*_)*C,t[7]=(v*x-p*M-g*b)*C,t[8]=(p*w-m*x+g*y)*C,t):null},i.str=function(t){return\"mat3(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\")\"},i.frob=function(t){return Math.sqrt(Math.pow(t[0],2)+Math.pow(t[1],2)+Math.pow(t[2],2)+Math.pow(t[3],2)+Math.pow(t[4],2)+Math.pow(t[5],2)+Math.pow(t[6],2)+Math.pow(t[7],2)+Math.pow(t[8],2))},i.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t[3]=e[3]+r[3],t[4]=e[4]+r[4],t[5]=e[5]+r[5],t[6]=e[6]+r[6],t[7]=e[7]+r[7],t[8]=e[8]+r[8],t},i.subtract=function(t,e,r){return t[0]=e[0]-r[0],t[1]=e[1]-r[1],t[2]=e[2]-r[2],t[3]=e[3]-r[3],t[4]=e[4]-r[4],t[5]=e[5]-r[5],t[6]=e[6]-r[6],t[7]=e[7]-r[7],t[8]=e[8]-r[8],t},i.sub=i.subtract,i.multiplyScalar=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t[3]=e[3]*r,t[4]=e[4]*r,t[5]=e[5]*r,t[6]=e[6]*r,t[7]=e[7]*r,t[8]=e[8]*r,t},i.multiplyScalarAndAdd=function(t,e,r,n){return t[0]=e[0]+r[0]*n,t[1]=e[1]+r[1]*n,t[2]=e[2]+r[2]*n,t[3]=e[3]+r[3]*n,t[4]=e[4]+r[4]*n,t[5]=e[5]+r[5]*n,t[6]=e[6]+r[6]*n,t[7]=e[7]+r[7]*n,t[8]=e[8]+r[8]*n,t},i.exactEquals=function(t,e){return t[0]===e[0]&&t[1]===e[1]&&t[2]===e[2]&&t[3]===e[3]&&t[4]===e[4]&&t[5]===e[5]&&t[6]===e[6]&&t[7]===e[7]&&t[8]===e[8]},i.equals=function(t,e){var r=t[0],i=t[1],a=t[2],o=t[3],s=t[4],l=t[5],u=t[6],c=t[7],h=t[8],f=e[0],d=e[1],p=e[2],m=e[3],v=e[4],g=e[5],y=t[6],b=e[7],x=e[8];return 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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},i.copy=function(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t},i.fromValues=function(t,e,r,i,a,o,s,l,u,c,h,f,d,p,m,v){var g=new n.ARRAY_TYPE(16);return g[0]=t,g[1]=e,g[2]=r,g[3]=i,g[4]=a,g[5]=o,g[6]=s,g[7]=l,g[8]=u,g[9]=c,g[10]=h,g[11]=f,g[12]=d,g[13]=p,g[14]=m,g[15]=v,g},i.set=function(t,e,r,n,i,a,o,s,l,u,c,h,f,d,p,m,v){return t[0]=e,t[1]=r,t[2]=n,t[3]=i,t[4]=a,t[5]=o,t[6]=s,t[7]=l,t[8]=u,t[9]=c,t[10]=h,t[11]=f,t[12]=d,t[13]=p,t[14]=m,t[15]=v,t},i.identity=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},i.scalar.transpose=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},i.SIMD.transpose=function(t,e){var r,n,i,a,o,s,l,u,c,h;return r=SIMD.Float32x4.load(e,0),n=SIMD.Float32x4.load(e,4),i=SIMD.Float32x4.load(e,8),a=SIMD.Float32x4.load(e,12),o=SIMD.Float32x4.shuffle(r,n,0,1,4,5),s=SIMD.Float32x4.shuffle(i,a,0,1,4,5),l=SIMD.Float32x4.shuffle(o,s,0,2,4,6),u=SIMD.Float32x4.shuffle(o,s,1,3,5,7),SIMD.Float32x4.store(t,0,l),SIMD.Float32x4.store(t,4,u),o=SIMD.Float32x4.shuffle(r,n,2,3,6,7),s=SIMD.Float32x4.shuffle(i,a,2,3,6,7),c=SIMD.Float32x4.shuffle(o,s,0,2,4,6),h=SIMD.Float32x4.shuffle(o,s,1,3,5,7),SIMD.Float32x4.store(t,8,c),SIMD.Float32x4.store(t,12,h),t},i.transpose=n.USE_SIMD?i.SIMD.transpose:i.scalar.transpose,i.scalar.invert=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],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],v=e[14],g=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,M=i*u-a*l,k=c*m-h*p,A=c*v-f*p,T=c*g-d*p,S=h*v-f*m,E=h*g-d*m,L=f*g-d*v,C=y*L-b*E+x*S+_*T-w*A+M*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*M-v*w+g*_)*C,t[3]=(f*w-h*M-d*_)*C,t[4]=(l*T-o*L-u*A)*C,t[5]=(r*L-i*T+a*A)*C,t[6]=(v*x-p*M-g*b)*C,t[7]=(c*M-f*x+d*b)*C,t[8]=(o*E-s*T+u*k)*C,t[9]=(n*T-r*E-a*k)*C,t[10]=(p*w-m*x+g*y)*C,t[11]=(h*x-c*w-d*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*b-p*_-v*y)*C,t[15]=(c*_-h*b+f*y)*C,t):null},i.SIMD.invert=function(t,e){var r,n,i,a,o,s,l,u,c,h,f=SIMD.Float32x4.load(e,0),d=SIMD.Float32x4.load(e,4),p=SIMD.Float32x4.load(e,8),m=SIMD.Float32x4.load(e,12);return o=SIMD.Float32x4.shuffle(f,d,0,1,4,5),n=SIMD.Float32x4.shuffle(p,m,0,1,4,5),r=SIMD.Float32x4.shuffle(o,n,0,2,4,6),n=SIMD.Float32x4.shuffle(n,o,1,3,5,7),o=SIMD.Float32x4.shuffle(f,d,2,3,6,7),a=SIMD.Float32x4.shuffle(p,m,2,3,6,7),i=SIMD.Float32x4.shuffle(o,a,0,2,4,6),a=SIMD.Float32x4.shuffle(a,o,1,3,5,7),o=SIMD.Float32x4.mul(i,a),o=SIMD.Float32x4.swizzle(o,1,0,3,2),s=SIMD.Float32x4.mul(n,o),l=SIMD.Float32x4.mul(r,o),o=SIMD.Float32x4.swizzle(o,2,3,0,1),s=SIMD.Float32x4.sub(SIMD.Float32x4.mul(n,o),s),l=SIMD.Float32x4.sub(SIMD.Float32x4.mul(r,o),l),l=SIMD.Float32x4.swizzle(l,2,3,0,1),o=SIMD.Float32x4.mul(n,i),o=SIMD.Float32x4.swizzle(o,1,0,3,2),s=SIMD.Float32x4.add(SIMD.Float32x4.mul(a,o),s),c=SIMD.Float32x4.mul(r,o),o=SIMD.Float32x4.swizzle(o,2,3,0,1),s=SIMD.Float32x4.sub(s,SIMD.Float32x4.mul(a,o)),c=SIMD.Float32x4.sub(SIMD.Float32x4.mul(r,o),c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),o=SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(n,2,3,0,1),a),o=SIMD.Float32x4.swizzle(o,1,0,3,2),i=SIMD.Float32x4.swizzle(i,2,3,0,1),s=SIMD.Float32x4.add(SIMD.Float32x4.mul(i,o),s),u=SIMD.Float32x4.mul(r,o),o=SIMD.Float32x4.swizzle(o,2,3,0,1),s=SIMD.Float32x4.sub(s,SIMD.Float32x4.mul(i,o)),u=SIMD.Float32x4.sub(SIMD.Float32x4.mul(r,o),u),u=SIMD.Float32x4.swizzle(u,2,3,0,1),o=SIMD.Float32x4.mul(r,n),o=SIMD.Float32x4.swizzle(o,1,0,3,2),u=SIMD.Float32x4.add(SIMD.Float32x4.mul(a,o),u),c=SIMD.Float32x4.sub(SIMD.Float32x4.mul(i,o),c),o=SIMD.Float32x4.swizzle(o,2,3,0,1),u=SIMD.Float32x4.sub(SIMD.Float32x4.mul(a,o),u),c=SIMD.Float32x4.sub(c,SIMD.Float32x4.mul(i,o)),o=SIMD.Float32x4.mul(r,a),o=SIMD.Float32x4.swizzle(o,1,0,3,2),l=SIMD.Float32x4.sub(l,SIMD.Float32x4.mul(i,o)),u=SIMD.Float32x4.add(SIMD.Float32x4.mul(n,o),u),o=SIMD.Float32x4.swizzle(o,2,3,0,1),l=SIMD.Float32x4.add(SIMD.Float32x4.mul(i,o),l),u=SIMD.Float32x4.sub(u,SIMD.Float32x4.mul(n,o)),o=SIMD.Float32x4.mul(r,i),o=SIMD.Float32x4.swizzle(o,1,0,3,2),l=SIMD.Float32x4.add(SIMD.Float32x4.mul(a,o),l),c=SIMD.Float32x4.sub(c,SIMD.Float32x4.mul(n,o)),o=SIMD.Float32x4.swizzle(o,2,3,0,1),l=SIMD.Float32x4.sub(l,SIMD.Float32x4.mul(a,o)),c=SIMD.Float32x4.add(SIMD.Float32x4.mul(n,o),c),h=SIMD.Float32x4.mul(r,s),h=SIMD.Float32x4.add(SIMD.Float32x4.swizzle(h,2,3,0,1),h),h=SIMD.Float32x4.add(SIMD.Float32x4.swizzle(h,1,0,3,2),h),o=SIMD.Float32x4.reciprocalApproximation(h),h=SIMD.Float32x4.sub(SIMD.Float32x4.add(o,o),SIMD.Float32x4.mul(h,SIMD.Float32x4.mul(o,o))),(h=SIMD.Float32x4.swizzle(h,0,0,0,0))?(SIMD.Float32x4.store(t,0,SIMD.Float32x4.mul(h,s)),SIMD.Float32x4.store(t,4,SIMD.Float32x4.mul(h,l)),SIMD.Float32x4.store(t,8,SIMD.Float32x4.mul(h,u)),SIMD.Float32x4.store(t,12,SIMD.Float32x4.mul(h,c)),t):null},i.invert=n.USE_SIMD?i.SIMD.invert:i.scalar.invert,i.scalar.adjoint=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],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],v=e[14],g=e[15];return t[0]=s*(f*g-d*v)-h*(l*g-u*v)+m*(l*d-u*f),t[1]=-(n*(f*g-d*v)-h*(i*g-a*v)+m*(i*d-a*f)),t[2]=n*(l*g-u*v)-s*(i*g-a*v)+m*(i*u-a*l),t[3]=-(n*(l*d-u*f)-s*(i*d-a*f)+h*(i*u-a*l)),t[4]=-(o*(f*g-d*v)-c*(l*g-u*v)+p*(l*d-u*f)),t[5]=r*(f*g-d*v)-c*(i*g-a*v)+p*(i*d-a*f),t[6]=-(r*(l*g-u*v)-o*(i*g-a*v)+p*(i*u-a*l)),t[7]=r*(l*d-u*f)-o*(i*d-a*f)+c*(i*u-a*l),t[8]=o*(h*g-d*m)-c*(s*g-u*m)+p*(s*d-u*h),t[9]=-(r*(h*g-d*m)-c*(n*g-a*m)+p*(n*d-a*h)),t[10]=r*(s*g-u*m)-o*(n*g-a*m)+p*(n*u-a*s),t[11]=-(r*(s*d-u*h)-o*(n*d-a*h)+c*(n*u-a*s)),t[12]=-(o*(h*v-f*m)-c*(s*v-l*m)+p*(s*f-l*h)),t[13]=r*(h*v-f*m)-c*(n*v-i*m)+p*(n*f-i*h),t[14]=-(r*(s*v-l*m)-o*(n*v-i*m)+p*(n*l-i*s)),t[15]=r*(s*f-l*h)-o*(n*f-i*h)+c*(n*l-i*s),t},i.SIMD.adjoint=function(t,e){var r,n,i,a,o,s,l,u,c,h,f,d,p,r=SIMD.Float32x4.load(e,0),n=SIMD.Float32x4.load(e,4),i=SIMD.Float32x4.load(e,8),a=SIMD.Float32x4.load(e,12)\n",
       ";return c=SIMD.Float32x4.shuffle(r,n,0,1,4,5),s=SIMD.Float32x4.shuffle(i,a,0,1,4,5),o=SIMD.Float32x4.shuffle(c,s,0,2,4,6),s=SIMD.Float32x4.shuffle(s,c,1,3,5,7),c=SIMD.Float32x4.shuffle(r,n,2,3,6,7),u=SIMD.Float32x4.shuffle(i,a,2,3,6,7),l=SIMD.Float32x4.shuffle(c,u,0,2,4,6),u=SIMD.Float32x4.shuffle(u,c,1,3,5,7),c=SIMD.Float32x4.mul(l,u),c=SIMD.Float32x4.swizzle(c,1,0,3,2),h=SIMD.Float32x4.mul(s,c),f=SIMD.Float32x4.mul(o,c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),h=SIMD.Float32x4.sub(SIMD.Float32x4.mul(s,c),h),f=SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,c),f),f=SIMD.Float32x4.swizzle(f,2,3,0,1),c=SIMD.Float32x4.mul(s,l),c=SIMD.Float32x4.swizzle(c,1,0,3,2),h=SIMD.Float32x4.add(SIMD.Float32x4.mul(u,c),h),p=SIMD.Float32x4.mul(o,c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),h=SIMD.Float32x4.sub(h,SIMD.Float32x4.mul(u,c)),p=SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,c),p),p=SIMD.Float32x4.swizzle(p,2,3,0,1),c=SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,2,3,0,1),u),c=SIMD.Float32x4.swizzle(c,1,0,3,2),l=SIMD.Float32x4.swizzle(l,2,3,0,1),h=SIMD.Float32x4.add(SIMD.Float32x4.mul(l,c),h),d=SIMD.Float32x4.mul(o,c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),h=SIMD.Float32x4.sub(h,SIMD.Float32x4.mul(l,c)),d=SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,c),d),d=SIMD.Float32x4.swizzle(d,2,3,0,1),c=SIMD.Float32x4.mul(o,s),c=SIMD.Float32x4.swizzle(c,1,0,3,2),d=SIMD.Float32x4.add(SIMD.Float32x4.mul(u,c),d),p=SIMD.Float32x4.sub(SIMD.Float32x4.mul(l,c),p),c=SIMD.Float32x4.swizzle(c,2,3,0,1),d=SIMD.Float32x4.sub(SIMD.Float32x4.mul(u,c),d),p=SIMD.Float32x4.sub(p,SIMD.Float32x4.mul(l,c)),c=SIMD.Float32x4.mul(o,u),c=SIMD.Float32x4.swizzle(c,1,0,3,2),f=SIMD.Float32x4.sub(f,SIMD.Float32x4.mul(l,c)),d=SIMD.Float32x4.add(SIMD.Float32x4.mul(s,c),d),c=SIMD.Float32x4.swizzle(c,2,3,0,1),f=SIMD.Float32x4.add(SIMD.Float32x4.mul(l,c),f),d=SIMD.Float32x4.sub(d,SIMD.Float32x4.mul(s,c)),c=SIMD.Float32x4.mul(o,l),c=SIMD.Float32x4.swizzle(c,1,0,3,2),f=SIMD.Float32x4.add(SIMD.Float32x4.mul(u,c),f),p=SIMD.Float32x4.sub(p,SIMD.Float32x4.mul(s,c)),c=SIMD.Float32x4.swizzle(c,2,3,0,1),f=SIMD.Float32x4.sub(f,SIMD.Float32x4.mul(u,c)),p=SIMD.Float32x4.add(SIMD.Float32x4.mul(s,c),p),SIMD.Float32x4.store(t,0,h),SIMD.Float32x4.store(t,4,f),SIMD.Float32x4.store(t,8,d),SIMD.Float32x4.store(t,12,p),t},i.adjoint=n.USE_SIMD?i.SIMD.adjoint:i.scalar.adjoint,i.determinant=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],h=t[10],f=t[11],d=t[12],p=t[13],m=t[14],v=t[15];return(e*o-r*a)*(h*v-f*m)-(e*s-n*a)*(c*v-f*p)+(e*l-i*a)*(c*m-h*p)+(r*s-n*o)*(u*v-f*d)-(r*l-i*o)*(u*m-h*d)+(n*l-i*s)*(u*p-c*d)},i.SIMD.multiply=function(t,e,r){var n=SIMD.Float32x4.load(e,0),i=SIMD.Float32x4.load(e,4),a=SIMD.Float32x4.load(e,8),o=SIMD.Float32x4.load(e,12),s=SIMD.Float32x4.load(r,0),l=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,3,3,3,3),o))));SIMD.Float32x4.store(t,0,l);var u=SIMD.Float32x4.load(r,4),c=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,3,3,3,3),o))));SIMD.Float32x4.store(t,4,c);var h=SIMD.Float32x4.load(r,8),f=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,3,3,3,3),o))));SIMD.Float32x4.store(t,8,f);var d=SIMD.Float32x4.load(r,12),p=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,3,3,3,3),o))));return SIMD.Float32x4.store(t,12,p),t},i.scalar.multiply=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],h=e[8],f=e[9],d=e[10],p=e[11],m=e[12],v=e[13],g=e[14],y=e[15],b=r[0],x=r[1],_=r[2],w=r[3];return t[0]=b*n+x*s+_*h+w*m,t[1]=b*i+x*l+_*f+w*v,t[2]=b*a+x*u+_*d+w*g,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+_*h+w*m,t[5]=b*i+x*l+_*f+w*v,t[6]=b*a+x*u+_*d+w*g,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+_*h+w*m,t[9]=b*i+x*l+_*f+w*v,t[10]=b*a+x*u+_*d+w*g,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+_*h+w*m,t[13]=b*i+x*l+_*f+w*v,t[14]=b*a+x*u+_*d+w*g,t[15]=b*o+x*c+_*p+w*y,t},i.multiply=n.USE_SIMD?i.SIMD.multiply:i.scalar.multiply,i.mul=i.multiply,i.scalar.translate=function(t,e,r){var n,i,a,o,s,l,u,c,h,f,d,p,m=r[0],v=r[1],g=r[2];return e===t?(t[12]=e[0]*m+e[4]*v+e[8]*g+e[12],t[13]=e[1]*m+e[5]*v+e[9]*g+e[13],t[14]=e[2]*m+e[6]*v+e[10]*g+e[14],t[15]=e[3]*m+e[7]*v+e[11]*g+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],h=e[8],f=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]=h,t[9]=f,t[10]=d,t[11]=p,t[12]=n*m+s*v+h*g+e[12],t[13]=i*m+l*v+f*g+e[13],t[14]=a*m+u*v+d*g+e[14],t[15]=o*m+c*v+p*g+e[15]),t},i.SIMD.translate=function(t,e,r){var n=SIMD.Float32x4.load(e,0),i=SIMD.Float32x4.load(e,4),a=SIMD.Float32x4.load(e,8),o=SIMD.Float32x4.load(e,12),s=SIMD.Float32x4(r[0],r[1],r[2],0);e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11]),n=SIMD.Float32x4.mul(n,SIMD.Float32x4.swizzle(s,0,0,0,0)),i=SIMD.Float32x4.mul(i,SIMD.Float32x4.swizzle(s,1,1,1,1)),a=SIMD.Float32x4.mul(a,SIMD.Float32x4.swizzle(s,2,2,2,2));var l=SIMD.Float32x4.add(n,SIMD.Float32x4.add(i,SIMD.Float32x4.add(a,o)));return SIMD.Float32x4.store(t,12,l),t},i.translate=n.USE_SIMD?i.SIMD.translate:i.scalar.translate,i.scalar.scale=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},i.SIMD.scale=function(t,e,r){var n,i,a,o=SIMD.Float32x4(r[0],r[1],r[2],0);return n=SIMD.Float32x4.load(e,0),SIMD.Float32x4.store(t,0,SIMD.Float32x4.mul(n,SIMD.Float32x4.swizzle(o,0,0,0,0))),i=SIMD.Float32x4.load(e,4),SIMD.Float32x4.store(t,4,SIMD.Float32x4.mul(i,SIMD.Float32x4.swizzle(o,1,1,1,1))),a=SIMD.Float32x4.load(e,8),SIMD.Float32x4.store(t,8,SIMD.Float32x4.mul(a,SIMD.Float32x4.swizzle(o,2,2,2,2))),t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t},i.scale=n.USE_SIMD?i.SIMD.scale:i.scalar.scale,i.rotate=function(t,e,r,i){var a,o,s,l,u,c,h,f,d,p,m,v,g,y,b,x,_,w,M,k,A,T,S,E,L=i[0],C=i[1],I=i[2],z=Math.sqrt(L*L+C*C+I*I);return Math.abs(z)<n.EPSILON?null:(z=1/z,L*=z,C*=z,I*=z,a=Math.sin(r),o=Math.cos(r),s=1-o,l=e[0],u=e[1],c=e[2],h=e[3],f=e[4],d=e[5],p=e[6],m=e[7],v=e[8],g=e[9],y=e[10],b=e[11],x=L*L*s+o,_=C*L*s+I*a,w=I*L*s-C*a,M=L*C*s-I*a,k=C*C*s+o,A=I*C*s+L*a,T=L*I*s+C*a,S=C*I*s-L*a,E=I*I*s+o,t[0]=l*x+f*_+v*w,t[1]=u*x+d*_+g*w,t[2]=c*x+p*_+y*w,t[3]=h*x+m*_+b*w,t[4]=l*M+f*k+v*A,t[5]=u*M+d*k+g*A,t[6]=c*M+p*k+y*A,t[7]=h*M+m*k+b*A,t[8]=l*T+f*S+v*E,t[9]=u*T+d*S+g*E,t[10]=c*T+p*S+y*E,t[11]=h*T+m*S+b*E,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)},i.scalar.rotateX=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],h=e[10],f=e[11];return e!==t&&(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]),t[4]=a*i+u*n,t[5]=o*i+c*n,t[6]=s*i+h*n,t[7]=l*i+f*n,t[8]=u*i-a*n,t[9]=c*i-o*n,t[10]=h*i-s*n,t[11]=f*i-l*n,t},i.SIMD.rotateX=function(t,e,r){var n=SIMD.Float32x4.splat(Math.sin(r)),i=SIMD.Float32x4.splat(Math.cos(r));e!==t&&(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]);var a=SIMD.Float32x4.load(e,4),o=SIMD.Float32x4.load(e,8);return SIMD.Float32x4.store(t,4,SIMD.Float32x4.add(SIMD.Float32x4.mul(a,i),SIMD.Float32x4.mul(o,n))),SIMD.Float32x4.store(t,8,SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,i),SIMD.Float32x4.mul(a,n))),t},i.rotateX=n.USE_SIMD?i.SIMD.rotateX:i.scalar.rotateX,i.scalar.rotateY=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],h=e[10],f=e[11];return e!==t&&(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]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-h*n,t[3]=l*i-f*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+h*i,t[11]=l*n+f*i,t},i.SIMD.rotateY=function(t,e,r){var n=SIMD.Float32x4.splat(Math.sin(r)),i=SIMD.Float32x4.splat(Math.cos(r));e!==t&&(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]);var a=SIMD.Float32x4.load(e,0),o=SIMD.Float32x4.load(e,8);return SIMD.Float32x4.store(t,0,SIMD.Float32x4.sub(SIMD.Float32x4.mul(a,i),SIMD.Float32x4.mul(o,n))),SIMD.Float32x4.store(t,8,SIMD.Float32x4.add(SIMD.Float32x4.mul(a,n),SIMD.Float32x4.mul(o,i))),t},i.rotateY=n.USE_SIMD?i.SIMD.rotateY:i.scalar.rotateY,i.scalar.rotateZ=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],h=e[6],f=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+h*n,t[3]=l*i+f*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=h*i-s*n,t[7]=f*i-l*n,t},i.SIMD.rotateZ=function(t,e,r){var n=SIMD.Float32x4.splat(Math.sin(r)),i=SIMD.Float32x4.splat(Math.cos(r));e!==t&&(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]);var a=SIMD.Float32x4.load(e,0),o=SIMD.Float32x4.load(e,4);return SIMD.Float32x4.store(t,0,SIMD.Float32x4.add(SIMD.Float32x4.mul(a,i),SIMD.Float32x4.mul(o,n))),SIMD.Float32x4.store(t,4,SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,i),SIMD.Float32x4.mul(a,n))),t},i.rotateZ=n.USE_SIMD?i.SIMD.rotateZ:i.scalar.rotateZ,i.fromTranslation=function(t,e){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]=e[0],t[13]=e[1],t[14]=e[2],t[15]=1,t},i.fromScaling=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=e[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.fromRotation=function(t,e,r){var i,a,o,s=r[0],l=r[1],u=r[2],c=Math.sqrt(s*s+l*l+u*u);return Math.abs(c)<n.EPSILON?null:(c=1/c,s*=c,l*=c,u*=c,i=Math.sin(e),a=Math.cos(e),o=1-a,t[0]=s*s*o+a,t[1]=l*s*o+u*i,t[2]=u*s*o-l*i,t[3]=0,t[4]=s*l*o-u*i,t[5]=l*l*o+a,t[6]=u*l*o+s*i,t[7]=0,t[8]=s*u*o+l*i,t[9]=l*u*o-s*i,t[10]=u*u*o+a,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t)},i.fromXRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=n,t[6]=r,t[7]=0,t[8]=0,t[9]=-r,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.fromYRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=0,t[2]=-r,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=r,t[9]=0,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.fromZRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=0,t[4]=-r,t[5]=n,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},i.fromRotationTranslation=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,h=n*l,f=n*u,d=i*l,p=i*u,m=a*u,v=o*s,g=o*l,y=o*u;return t[0]=1-(d+m),t[1]=h+y,t[2]=f-g,t[3]=0,t[4]=h-y,t[5]=1-(c+m),t[6]=p+v,t[7]=0,t[8]=f+g,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},i.getTranslation=function(t,e){return t[0]=e[12],t[1]=e[13],t[2]=e[14],t},i.getRotation=function(t,e){var r=e[0]+e[5]+e[10],n=0;return r>0?(n=2*Math.sqrt(r+1),t[3]=.25*n,t[0]=(e[6]-e[9])/n,t[1]=(e[8]-e[2])/n,t[2]=(e[1]-e[4])/n):e[0]>e[5]&e[0]>e[10]?(n=2*Math.sqrt(1+e[0]-e[5]-e[10]),t[3]=(e[6]-e[9])/n,t[0]=.25*n,t[1]=(e[1]+e[4])/n,t[2]=(e[8]+e[2])/n):e[5]>e[10]?(n=2*Math.sqrt(1+e[5]-e[0]-e[10]),t[3]=(e[8]-e[2])/n,t[0]=(e[1]+e[4])/n,t[1]=.25*n,t[2]=(e[6]+e[9])/n):(n=2*Math.sqrt(1+e[10]-e[0]-e[5]),t[3]=(e[1]-e[4])/n,t[0]=(e[8]+e[2])/n,t[1]=(e[6]+e[9])/n,t[2]=.25*n),t},i.fromRotationTranslationScale=function(t,e,r,n){var i=e[0],a=e[1],o=e[2],s=e[3],l=i+i,u=a+a,c=o+o,h=i*l,f=i*u,d=i*c,p=a*u,m=a*c,v=o*c,g=s*l,y=s*u,b=s*c,x=n[0],_=n[1],w=n[2];return t[0]=(1-(p+v))*x,t[1]=(f+b)*x,t[2]=(d-y)*x,t[3]=0,t[4]=(f-b)*_,t[5]=(1-(h+v))*_,t[6]=(m+g)*_,t[7]=0,t[8]=(d+y)*w,t[9]=(m-g)*w,t[10]=(1-(h+p))*w,t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t},i.fromRotationTranslationScaleOrigin=function(t,e,r,n,i){var a=e[0],o=e[1],s=e[2],l=e[3],u=a+a,c=o+o,h=s+s,f=a*u,d=a*c,p=a*h,m=o*c,v=o*h,g=s*h,y=l*u,b=l*c,x=l*h,_=n[0],w=n[1],M=n[2],k=i[0],A=i[1],T=i[2];return t[0]=(1-(m+g))*_,t[1]=(d+x)*_,t[2]=(p-b)*_,t[3]=0,t[4]=(d-x)*w,t[5]=(1-(f+g))*w,t[6]=(v+y)*w,t[7]=0,t[8]=(p+b)*M,t[9]=(v-y)*M,t[10]=(1-(f+m))*M,t[11]=0,t[12]=r[0]+k-(t[0]*k+t[4]*A+t[8]*T),t[13]=r[1]+A-(t[1]*k+t[5]*A+t[9]*T),t[14]=r[2]+T-(t[2]*k+t[6]*A+t[10]*T),t[15]=1,t},i.fromQuat=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,h=n*s,f=i*o,d=i*s,p=i*l,m=a*o,v=a*s,g=a*l;return t[0]=1-h-p,t[1]=c+g,t[2]=f-v,t[3]=0,t[4]=c-g,t[5]=1-u-p,t[6]=d+m,t[7]=0,t[8]=f+v,t[9]=d-m,t[10]=1-u-h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.frustum=function(t,e,r,n,i,a,o){var s=1/(r-e),l=1/(i-n),u=1/(a-o);return t[0]=2*a*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=2*a*l,t[6]=0,t[7]=0,t[8]=(r+e)*s,t[9]=(i+n)*l,t[10]=(o+a)*u,t[11]=-1,t[12]=0,t[13]=0,t[14]=o*a*2*u,t[15]=0,t},i.perspective=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},i.perspectiveFromFieldOfView=function(t,e,r,n){var i=Math.tan(e.upDegrees*Math.PI/180),a=Math.tan(e.downDegrees*Math.PI/180),o=Math.tan(e.leftDegrees*Math.PI/180),s=Math.tan(e.rightDegrees*Math.PI/180),l=2/(o+s),u=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=u,t[6]=0,t[7]=0,t[8]=-(o-s)*l*.5,t[9]=(i-a)*u*.5,t[10]=n/(r-n),t[11]=-1,t[12]=0,t[13]=0,t[14]=n*r/(r-n),t[15]=0,t},i.ortho=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},i.lookAt=function(t,e,r,a){var o,s,l,u,c,h,f,d,p,m,v=e[0],g=e[1],y=e[2],b=a[0],x=a[1],_=a[2],w=r[0],M=r[1],k=r[2];return Math.abs(v-w)<n.EPSILON&&Math.abs(g-M)<n.EPSILON&&Math.abs(y-k)<n.EPSILON?i.identity(t):(f=v-w,d=g-M,p=y-k,m=1/Math.sqrt(f*f+d*d+p*p),f*=m,d*=m,p*=m,o=x*p-_*d,s=_*f-b*p,l=b*d-x*f,m=Math.sqrt(o*o+s*s+l*l),m?(m=1/m,o*=m,s*=m,l*=m):(o=0,s=0,l=0),u=d*l-p*s,c=p*o-f*l,h=f*s-d*o,m=Math.sqrt(u*u+c*c+h*h),m?(m=1/m,u*=m,c*=m,h*=m):(u=0,c=0,h=0),t[0]=o,t[1]=u,t[2]=f,t[3]=0,t[4]=s,t[5]=c,t[6]=d,t[7]=0,t[8]=l,t[9]=h,t[10]=p,t[11]=0,t[12]=-(o*v+s*g+l*y),t[13]=-(u*v+c*g+h*y),t[14]=-(f*v+d*g+p*y),t[15]=1,t)},i.str=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"},i.frob=function(t){return Math.sqrt(Math.pow(t[0],2)+Math.pow(t[1],2)+Math.pow(t[2],2)+Math.pow(t[3],2)+Math.pow(t[4],2)+Math.pow(t[5],2)+Math.pow(t[6],2)+Math.pow(t[7],2)+Math.pow(t[8],2)+Math.pow(t[9],2)+Math.pow(t[10],2)+Math.pow(t[11],2)+Math.pow(t[12],2)+Math.pow(t[13],2)+Math.pow(t[14],2)+Math.pow(t[15],2))},i.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t[3]=e[3]+r[3],t[4]=e[4]+r[4],t[5]=e[5]+r[5],t[6]=e[6]+r[6],t[7]=e[7]+r[7],t[8]=e[8]+r[8],t[9]=e[9]+r[9],t[10]=e[10]+r[10],t[11]=e[11]+r[11],t[12]=e[12]+r[12],t[13]=e[13]+r[13],t[14]=e[14]+r[14],t[15]=e[15]+r[15],t},i.subtract=function(t,e,r){return t[0]=e[0]-r[0],t[1]=e[1]-r[1],t[2]=e[2]-r[2],t[3]=e[3]-r[3],t[4]=e[4]-r[4],t[5]=e[5]-r[5],t[6]=e[6]-r[6],t[7]=e[7]-r[7],t[8]=e[8]-r[8],t[9]=e[9]-r[9],t[10]=e[10]-r[10],t[11]=e[11]-r[11],t[12]=e[12]-r[12],t[13]=e[13]-r[13],t[14]=e[14]-r[14],t[15]=e[15]-r[15],t},i.sub=i.subtract,i.multiplyScalar=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t[3]=e[3]*r,t[4]=e[4]*r,t[5]=e[5]*r,t[6]=e[6]*r,t[7]=e[7]*r,t[8]=e[8]*r,t[9]=e[9]*r,t[10]=e[10]*r,t[11]=e[11]*r,t[12]=e[12]*r,t[13]=e[13]*r,t[14]=e[14]*r,t[15]=e[15]*r,t},i.multiplyScalarAndAdd=function(t,e,r,n){return t[0]=e[0]+r[0]*n,t[1]=e[1]+r[1]*n,t[2]=e[2]+r[2]*n,t[3]=e[3]+r[3]*n,t[4]=e[4]+r[4]*n,t[5]=e[5]+r[5]*n,t[6]=e[6]+r[6]*n,t[7]=e[7]+r[7]*n,t[8]=e[8]+r[8]*n,t[9]=e[9]+r[9]*n,t[10]=e[10]+r[10]*n,t[11]=e[11]+r[11]*n,t[12]=e[12]+r[12]*n,t[13]=e[13]+r[13]*n,t[14]=e[14]+r[14]*n,t[15]=e[15]+r[15]*n,t},i.exactEquals=function(t,e){return t[0]===e[0]&&t[1]===e[1]&&t[2]===e[2]&&t[3]===e[3]&&t[4]===e[4]&&t[5]===e[5]&&t[6]===e[6]&&t[7]===e[7]&&t[8]===e[8]&&t[9]===e[9]&&t[10]===e[10]&&t[11]===e[11]&&t[12]===e[12]&&t[13]===e[13]&&t[14]===e[14]&&t[15]===e[15]},i.equals=function(t,e){var r=t[0],i=t[1],a=t[2],o=t[3],s=t[4],l=t[5],u=t[6],c=t[7],h=t[8],f=t[9],d=t[10],p=t[11],m=t[12],v=t[13],g=t[14],y=t[15],b=e[0],x=e[1],_=e[2],w=e[3],M=e[4],k=e[5],A=e[6],T=e[7],S=e[8],E=e[9],L=e[10],C=e[11],I=e[12],z=e[13],D=e[14],P=e[15];return 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vec4 m_position  = model * vec4(position, 1.0);\\n  vec4 t_position  = view * m_position;\\n  gl_Position      = projection * t_position;\\n  f_color          = color;\\n  f_normal         = normal;\\n  f_data           = position;\\n  f_eyeDirection   = eyePosition   - position;\\n  f_lightDirection = lightPosition - position;\\n  f_uv             = uv;\\n}\",fragment:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution_2_0(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\\n\\n\\nfloat cookTorranceSpecular_1_1(\\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_2_0(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\\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     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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}\",fragment:\"precision mediump float;\\n#define GLSLIFY 1\\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(any(lessThan(f_data, clipBounds[0])) || \\n     any(greaterThan(f_data, clipBounds[1]))) {\\n    discard;\\n  }\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\",attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:\"precision mediump float;\\n#define GLSLIFY 1\\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(any(lessThan(position, clipBounds[0])) || \\n     any(greaterThan(position, clipBounds[1]))) {\\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}\",fragment:\"precision mediump 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) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\",attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:\"precision mediump 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}\",fragment:n,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:\"precision mediump float;\\n#define GLSLIFY 1\\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(any(lessThan(position, clipBounds[0])) || \\n     any(greaterThan(position, clipBounds[1]))) {\\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}\",fragment:n,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:\"precision mediump 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}\",fragment:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor,1);\\n}\\n\",attributes:[{name:\"position\",type:\"vec3\"}]}},{}],205:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l,u,c,h,f,d,p,m,v,g,y,b,x,_,w,M,k,A,T){this.gl=t,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=f,this.triangleUVs=h,this.triangleIds=u,this.triangleVAO=d,this.triangleCount=0,this.lineWidth=1,this.edgePositions=p,this.edgeColors=v,this.edgeUVs=g,this.edgeIds=m,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=b,this.pointColors=_,this.pointUVs=w,this.pointSizes=M,this.pointIds=x,this.pointVAO=k,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,this.contourVAO=T,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=D,this._view=D,this._projection=D,this._resolution=[1,1]}function i(t){for(var e=w({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return _(r,[256,256,4],[4,0,1])}function a(t,e,r){for(var n=new Array(e),i=0;i<e;++i)n[i]=0;for(var a=t.length,i=0;i<a;++i)for(var o=t[i],s=0;s<o.length;++s)n[o[s]]=r[i];return n}function o(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}function s(t){var e=p(t,S.vertex,S.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function l(t){var e=p(t,E.vertex,E.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function u(t){var e=p(t,L.vertex,L.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function c(t){var e=p(t,C.vertex,C.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function h(t){var e=p(t,I.vertex,I.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function f(t){var e=p(t,z.vertex,z.fragment);return e.attributes.position.location=0,e}function d(t,e){1===arguments.length&&(e=t,t=e.gl);var r=s(t),i=l(t),a=u(t),o=c(t),d=h(t),p=f(t),y=g(t,_(new Uint8Array([255,255,255,255]),[1,1,4]));y.generateMipmap(),y.minFilter=t.LINEAR_MIPMAP_LINEAR,y.magFilter=t.LINEAR;var b=m(t),x=m(t),w=m(t),M=m(t),k=m(t),A=v(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:x,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2},{buffer:M,type:t.FLOAT,size:3}]),T=m(t),S=m(t),E=m(t),L=m(t),C=v(t,[{buffer:T,type:t.FLOAT,size:3},{buffer:L,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:S,type:t.FLOAT,size:4},{buffer:E,type:t.FLOAT,size:2}]),I=m(t),z=m(t),D=m(t),P=m(t),O=m(t),R=v(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:O,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:z,type:t.FLOAT,size:4},{buffer:D,type:t.FLOAT,size:2},{buffer:P,type:t.FLOAT,size:1}]),F=m(t),j=v(t,[{buffer:F,type:t.FLOAT,size:3}]),N=new n(t,y,r,i,a,o,d,p,b,k,x,w,M,A,T,L,S,E,C,I,O,z,D,P,R,F,j);return N.update(e),N}var p=t(\"gl-shader\"),m=t(\"gl-buffer\"),v=t(\"gl-vao\"),g=t(\"gl-texture2d\"),y=t(\"normals\"),b=t(\"gl-mat4/multiply\"),x=t(\"gl-mat4/invert\"),_=t(\"ndarray\"),w=t(\"colormap\"),M=t(\"simplicial-complex-contour\"),k=t(\"typedarray-pool\"),A=t(\"./lib/shaders\"),T=t(\"./lib/closest-point\"),S=A.meshShader,E=A.wireShader,L=A.pointShader,C=A.pickShader,I=A.pointPickShader,z=A.contourShader,D=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],P=n.prototype;P.isOpaque=function(){return this.opacity>=1},P.isTransparent=function(){return this.opacity<1},P.pickSlots=1,P.setPickBase=function(t){this.pickId=t},P.highlight=function(t){if(!t||!this.contourEnable)return void(this.contourCount=0);for(var e=M(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=k.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var h=u[0];2===u.length&&(h=u[c]);for(var f=n[h][0],d=n[h][1],p=i[h],m=1-p,v=this.positions[f],g=this.positions[d],y=0;y<3;++y)o[s++]=p*v[y]+m*g[y]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),k.free(o)},P.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=g(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(i(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var s=[],l=[],u=[],c=[],h=[],f=[],d=[],p=[],m=[],v=[],b=[],x=[],_=[],w=[];this.cells=r,this.positions=n;var M=t.vertexNormals,k=t.cellNormals,A=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,T=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!k&&(k=y.faceNormals(r,n,T)),k||M||(M=y.vertexNormals(r,n,A));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,I=t.vertexIntensity,z=t.cellUVs,D=t.cellIntensity,P=1/0,O=-1/0;if(!C&&!z)if(I)if(t.vertexIntensityBounds)P=+t.vertexIntensityBounds[0],O=+t.vertexIntensityBounds[1];else for(var R=0;R<I.length;++R){var F=I[R];P=Math.min(P,F),O=Math.max(O,F)}else if(D)for(var R=0;R<D.length;++R){var F=D[R];P=Math.min(P,F),O=Math.max(O,F)}else for(var R=0;R<n.length;++R){var F=n[R][2];P=Math.min(P,F),O=Math.max(O,F)}this.intensity=I||(D?a(r,n.length,D):o(n));var j=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(var R=0;R<n.length;++R)for(var B=n[R],U=0;U<3;++U)!isNaN(B[U])&&isFinite(B[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],B[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],B[U]));var V=0,H=0,q=0;t:for(var R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(var Y=G[0],B=n[Y],U=0;U<3;++U)if(isNaN(B[U])||!isFinite(B[U]))continue t;v.push(B[0],B[1],B[2]);var W;W=S?S[Y]:E?E[R]:L,3===W.length?b.push(W[0],W[1],W[2],1):b.push(W[0],W[1],W[2],W[3]);var X;X=C?C[Y]:I?[(I[Y]-P)/(O-P),0]:z?z[R]:D?[(D[R]-P)/(O-P),0]:[(B[2]-P)/(O-P),0],x.push(X[0],X[1]),j?_.push(j[Y]):_.push(N),w.push(R),q+=1;break;case 2:for(var U=0;U<2;++U)for(var Y=G[U],B=n[Y],Z=0;Z<3;++Z)if(isNaN(B[Z])||!isFinite(B[Z]))continue t;for(var U=0;U<2;++U){var Y=G[U],B=n[Y];f.push(B[0],B[1],B[2]);var W;W=S?S[Y]:E?E[R]:L,3===W.length?d.push(W[0],W[1],W[2],1):d.push(W[0],W[1],W[2],W[3]);var X;X=C?C[Y]:I?[(I[Y]-P)/(O-P),0]:z?z[R]:D?[(D[R]-P)/(O-P),0]:[(B[2]-P)/(O-P),0],p.push(X[0],X[1]),m.push(R)}H+=1;break;case 3:for(var U=0;U<3;++U)for(var Y=G[U],B=n[Y],Z=0;Z<3;++Z)if(isNaN(B[Z])||!isFinite(B[Z]))continue t;for(var U=0;U<3;++U){var Y=G[U],B=n[Y];s.push(B[0],B[1],B[2]);var W;W=S?S[Y]:E?E[R]:L,3===W.length?l.push(W[0],W[1],W[2],1):l.push(W[0],W[1],W[2],W[3]);var X;X=C?C[Y]:I?[(I[Y]-P)/(O-P),0]:z?z[R]:D?[(D[R]-P)/(O-P),0]:[(B[2]-P)/(O-P),0],c.push(X[0],X[1]);var J;J=M?M[Y]:k[R],u.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(b),this.pointUVs.update(x),this.pointSizes.update(_),this.pointIds.update(new Uint32Array(w)),this.edgePositions.update(f),this.edgeColors.update(d),this.edgeUVs.update(p),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(s),this.triangleColors.update(l),this.triangleUVs.update(c),this.triangleNormals.update(u),this.triangleIds.update(new Uint32Array(h))}},P.drawTransparent=P.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||D,n=t.view||D,i=t.projection||D,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<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,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};this.texture.bind(0);var l=new Array(16);b(l,s.view,s.model),b(l,s.projection,l),x(l,l);for(var o=0;o<3;++o)s.eyePosition[o]=l[12+o]/l[15];for(var u=l[15],o=0;o<3;++o)u+=this.lightPosition[o]*l[4*o+3];for(var o=0;o<3;++o){for(var c=l[12+o],h=0;h<3;++h)c+=l[4*h+o]*this.lightPosition[h];s.lightPosition[o]=c/u}if(this.triangleCount>0){var f=this.triShader;f.bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}if(this.edgeCount>0&&this.lineWidth>0){var f=this.lineShader;f.bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()}if(this.pointCount>0){var f=this.pointShader;f.bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()}if(this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0){var f=this.contourShader;f.bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind()}},P.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||D,n=t.view||D,i=t.projection||D,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<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,pickId:this.pickId/255},l=this.pickShader;if(l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0){var l=this.pointPickShader;l.bind(),l.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()}},P.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<r.length;++a)i[a]=n[r[a]];var o=T(i,[t.coord[0],this._resolution[1]-t.coord[1]],this._model,this._view,this._projection,this._resolution);if(!o)return null;for(var s=o[2],l=0,a=0;a<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]]]}},P.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=d},{\"./lib/closest-point\":203,\"./lib/shaders\":204,colormap:99,\"gl-buffer\":156,\"gl-mat4/invert\":181,\"gl-mat4/multiply\":183,\"gl-shader\":255,\"gl-texture2d\":267,\"gl-vao\":271,ndarray:467,normals:469,\"simplicial-complex-contour\":517,\"typedarray-pool\":541}],206:[function(t,e,r){\"use strict\";function n(t,e,r){this.plot=t,this.vbo=e,this.shader=r}function i(t){var e=t.gl;return new n(t,a(e,[0,0,0,1,1,0,1,1]),o(e,s.boxVert,s.lineFrag))}e.exports=i;var a=t(\"gl-buffer\"),o=t(\"gl-shader\"),s=t(\"./shaders\"),l=n.prototype;l.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},l.drawBox=function(){var t=[0,0],e=[0,0];return function(r,n,i,a,o){var s=this.plot,l=this.shader,u=s.gl;t[0]=r,t[1]=n,e[0]=i,e[1]=a,l.uniforms.lo=t,l.uniforms.hi=e,l.uniforms.color=o,u.drawArrays(u.TRIANGLE_STRIP,0,4)}}(),l.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":209,\"gl-buffer\":156,\"gl-shader\":212}],207:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function i(t,e){return t-e}function a(t){var e=t.gl;return new n(t,o(e),s(e,u.gridVert,u.gridFrag),s(e,u.tickVert,u.gridFrag))}e.exports=a;var o=t(\"gl-buffer\"),s=t(\"gl-shader\"),l=t(\"binary-search-bounds\"),u=t(\"./shaders\"),c=n.prototype;c.draw=function(){var t=[0,0],e=[0,0],r=[0,0];return function(){for(var n=this.plot,i=this.vbo,a=this.shader,o=this.ticks,s=n.gl,l=n._tickBounds,u=n.dataBox,c=n.viewBox,h=n.gridLineWidth,f=n.gridLineColor,d=n.gridLineEnable,p=n.pixelRatio,m=0;m<2;++m){var v=l[m],g=l[m+2],y=g-v,b=.5*(u[m+2]+u[m]),x=u[m+2]-u[m];e[m]=2*y/x,t[m]=2*(v-b)/x}a.bind(),i.bind(),a.attributes.dataCoord.pointer(),a.uniforms.dataShift=t,a.uniforms.dataScale=e;for(var _=0,m=0;m<2;++m){r[0]=r[1]=0,r[m]=1,a.uniforms.dataAxis=r,a.uniforms.lineWidth=h[m]/(c[m+2]-c[m])*p,a.uniforms.color=f[m];var w=6*o[m].length;d[m]&&w&&s.drawArrays(s.TRIANGLES,_,w),_+=w}}}(),c.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],a=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,h=this.ticks,f=s.gl,d=s._tickBounds,p=s.dataBox,m=s.viewBox,v=s.pixelRatio,g=s.screenBox,y=g[2]-g[0],b=g[3]-g[1],x=m[2]-m[0],_=m[3]-m[1],w=0;w<2;++w){var M=d[w],k=d[w+2],A=k-M,T=.5*(p[w+2]+p[w]),S=p[w+2]-p[w];e[w]=2*A/S,t[w]=2*(M-T)/S}e[0]*=x/y,t[0]*=x/y,e[1]*=_/b,t[1]*=_/b,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var E=c.uniforms;E.dataShift=t,E.dataScale=e;var L=s.tickMarkLength,C=s.tickMarkWidth,I=s.tickMarkColor,z=6*h[0].length,D=Math.min(l.ge(h[0],(p[0]-d[0])/(d[2]-d[0]),i),h[0].length),P=Math.min(l.gt(h[0],(p[2]-d[0])/(d[2]-d[0]),i),h[0].length),O=0+6*D,R=6*Math.max(0,P-D),F=Math.min(l.ge(h[1],(p[1]-d[1])/(d[3]-d[1]),i),h[1].length),j=Math.min(l.gt(h[1],(p[3]-d[1])/(d[3]-d[1]),i),h[1].length),N=z+6*F,B=6*Math.max(0,j-F);a[0]=2*(m[0]-L[1])/y-1,a[1]=(m[3]+m[1])/b-1,o[0]=L[1]*v/y,o[1]=C[1]*v/b,B&&(E.color=I[1],E.tickScale=o,E.dataAxis=n,E.screenOffset=a,f.drawArrays(f.TRIANGLES,N,B)),a[0]=(m[2]+m[0])/y-1,a[1]=2*(m[1]-L[0])/b-1,o[0]=C[0]*v/y,o[1]=L[0]*v/b,R&&(E.color=I[0],E.tickScale=o,E.dataAxis=r,E.screenOffset=a,f.drawArrays(f.TRIANGLES,O,R)),a[0]=2*(m[2]+L[3])/y-1,a[1]=(m[3]+m[1])/b-1,o[0]=L[3]*v/y,o[1]=C[3]*v/b,B&&(E.color=I[3],E.tickScale=o,E.dataAxis=n,E.screenOffset=a,f.drawArrays(f.TRIANGLES,N,B)),a[0]=(m[2]+m[0])/y-1,a[1]=2*(m[3]+L[2])/b-1,o[0]=C[2]*v/y,o[1]=L[2]*v/b,R&&(E.color=I[2],E.tickScale=o,E.dataAxis=r,E.screenOffset=a,f.drawArrays(f.TRIANGLES,O,R))}}(),c.update=function(){var t=[1,1,-1,-1,1,-1],e=[1,-1,1,1,-1,-1];return function(r){for(var n=r.ticks,i=r.bounds,a=new Float32Array(18*(n[0].length+n[1].length)),o=(this.plot.zeroLineEnable,0),s=[[],[]],l=0;l<2;++l)for(var u=s[l],c=n[l],h=i[l],f=i[l+2],d=0;d<c.length;++d){var p=(c[d].x-h)/(f-h);u.push(p);for(var m=0;m<6;++m)a[o++]=p,a[o++]=t[m],a[o++]=e[m]}this.ticks=s,this.vbo.update(a)}}(),c.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":209,\"binary-search-bounds\":211,\"gl-buffer\":156,\"gl-shader\":212}],208:[function(t,e,r){\"use strict\";function n(t,e,r){this.plot=t,this.vbo=e,this.shader=r}function i(t){var e=t.gl;return new n(t,a(e,[-1,-1,-1,1,1,-1,1,1]),o(e,s.lineVert,s.lineFrag))}e.exports=i;var a=t(\"gl-buffer\"),o=t(\"gl-shader\"),s=t(\"./shaders\"),l=n.prototype;l.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},l.drawLine=function(){var t=[0,0],e=[0,0];return function(r,n,i,a,o,s){var l=this.plot,u=this.shader,c=l.gl;t[0]=r,t[1]=n,e[0]=i,e[1]=a,u.uniforms.start=t,u.uniforms.end=e,u.uniforms.width=o*l.pixelRatio,u.uniforms.color=s,c.drawArrays(c.TRIANGLE_STRIP,0,4)}}(),l.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":209,\"gl-buffer\":156,\"gl-shader\":212}],209:[function(t,e,r){\"use strict\";var n=\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\";e.exports={lineVert:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\",lineFrag:n,textVert:\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\",textFrag:n,gridVert:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\",gridFrag:n,boxVert:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\",tickVert:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"}},{}],210:[function(t,e,r){\"use strict\";function n(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}function i(t){var e=t.gl;return new n(t,a(e),o(e,u.textVert,u.textFrag))}e.exports=i;var a=t(\"gl-buffer\"),o=t(\"gl-shader\"),s=t(\"text-cache\"),l=t(\"binary-search-bounds\"),u=t(\"./shaders\"),c=n.prototype;c.drawTicks=function(){var t=[0,0],e=[0,0],r=[0,0];return function(n){var i=this.plot,a=this.shader,o=this.tickX[n],s=this.tickOffset[n],u=i.gl,c=i.viewBox,h=i.dataBox,f=i.screenBox,d=i.pixelRatio,p=i.tickEnable,m=i.tickPad,v=i.tickColor,g=i.tickAngle,y=i.labelEnable,b=i.labelPad,x=i.labelColor,_=i.labelAngle,w=this.labelOffset[n],M=this.labelCount[n],k=l.lt(o,h[n]),A=l.le(o,h[n+2]);t[0]=t[1]=0,t[n]=1,e[n]=(c[2+n]+c[n])/(f[2+n]-f[n])-1;var T=2/f[2+(1^n)]-f[1^n];e[1^n]=T*c[1^n]-1,p[n]&&(e[1^n]-=T*d*m[n],k<A&&s[A]>s[k]&&(a.uniforms.dataAxis=t,a.uniforms.screenOffset=e,a.uniforms.color=v[n],a.uniforms.angle=g[n],u.drawArrays(u.TRIANGLES,s[k],s[A]-s[k]))),y[n]&&M&&(e[1^n]-=T*d*b[n],a.uniforms.dataAxis=r,a.uniforms.screenOffset=e,a.uniforms.color=x[n],a.uniforms.angle=_[n],u.drawArrays(u.TRIANGLES,w,M)),e[1^n]=T*c[2+(1^n)]-1,p[n+2]&&(e[1^n]+=T*d*m[n+2],k<A&&s[A]>s[k]&&(a.uniforms.dataAxis=t,a.uniforms.screenOffset=e,a.uniforms.color=v[n+2],a.uniforms.angle=g[n+2],u.drawArrays(u.TRIANGLES,s[k],s[A]-s[k]))),y[n+2]&&M&&(e[1^n]+=T*d*b[n+2],a.uniforms.dataAxis=r,a.uniforms.screenOffset=e,a.uniforms.color=x[n+2],a.uniforms.angle=_[n+2],u.drawArrays(u.TRIANGLES,w,M))}}(),c.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),c.bind=function(){var t=[0,0],e=[0,0],r=[0,0];return function(){var n=this.plot,i=this.shader,a=n._tickBounds,o=n.dataBox,s=n.screenBox,l=n.viewBox;i.bind();for(var u=0;u<2;++u){var c=a[u],h=a[u+2],f=h-c,d=.5*(o[u+2]+o[u]),p=o[u+2]-o[u],m=l[u],v=l[u+2],g=v-m,y=s[u],b=s[u+2],x=b-y;e[u]=2*f/p*g/x,t[u]=2*(c-d)/p*g/x}r[1]=2*n.pixelRatio/(s[3]-s[1]),r[0]=r[1]*(s[3]-s[1])/(s[2]-s[0]),i.uniforms.dataScale=e,i.uniforms.dataShift=t,i.uniforms.textScale=r,this.vbo.bind(),i.attributes.textCoordinate.pointer()}}(),c.update=function(t){var e,r,n,i,a,o=[],l=t.ticks,u=t.bounds;for(a=0;a<2;++a){var c=[Math.floor(o.length/3)],h=[-1/0],f=l[a];for(e=0;e<f.length;++e){var d=f[e],p=d.x,m=d.text,v=d.font||\"sans-serif\";i=d.fontSize||12;for(var g=1/(u[a+2]-u[a]),y=u[a],b=m.split(\"\\n\"),x=0;x<b.length;x++)for(n=s(v,b[x]).data,r=0;r<n.length;r+=2)o.push(n[r]*i,-n[r+1]*i-x*i*1.2,(p-y)*g);c.push(Math.floor(o.length/3)),h.push(p)}this.tickOffset[a]=c,this.tickX[a]=h}for(a=0;a<2;++a){for(this.labelOffset[a]=Math.floor(o.length/3),n=s(t.labelFont[a],t.labels[a],{textAlign:\"center\"}).data,\n",
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o=t(\"./lib/create-uniforms\"),s=t(\"./lib/create-attributes\"),l=t(\"./lib/reflect\"),u=t(\"./lib/shader-cache\"),c=t(\"./lib/runtime-reflect\"),h=t(\"./lib/GLError\"),f=n.prototype;f.bind=function(){this.program||this._relink();var t,e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},f.dispose=function(){for(var t=this.gl.lastAttribCount,e=0;e<t;e++)this.gl.disableVertexAttribArray(e);this.gl.lastAttribCount=0,this._fref&&this._fref.dispose(),this._vref&&this._vref.dispose(),this.attributes=this.types=this.vertShader=this.fragShader=this.program=this._relink=this._fref=this._vref=null},f.update=function(t,e,r,n){function a(){d.program=u.program(p,d._vref,d._fref,_,w);for(var t=0;t<r.length;++t)E[t]=p.getUniformLocation(d.program,r[t].name)}if(!e||1===arguments.length){var f=t;t=f.vertex,e=f.fragment,r=f.uniforms,n=f.attributes}var d=this,p=d.gl,m=d._vref;d._vref=u.shader(p,p.VERTEX_SHADER,t),m&&m.dispose(),d.vertShader=d._vref.shader;var v=this._fref;if(d._fref=u.shader(p,p.FRAGMENT_SHADER,e),v&&v.dispose(),d.fragShader=d._fref.shader,!r||!n){var g=p.createProgram();if(p.attachShader(g,d.fragShader),p.attachShader(g,d.vertShader),p.linkProgram(g),!p.getProgramParameter(g,p.LINK_STATUS)){var y=p.getProgramInfoLog(g);throw new h(y,\"Error linking program:\"+y)}r=r||c.uniforms(p,g),n=n||c.attributes(p,g),p.deleteProgram(g)}n=n.slice(),n.sort(i);var b,x=[],_=[],w=[];for(b=0;b<n.length;++b){var M=n[b];if(M.type.indexOf(\"mat\")>=0){for(var k=0|M.type.charAt(M.type.length-1),A=new Array(k),T=0;T<k;++T)A[T]=w.length,_.push(M.name+\"[\"+T+\"]\"),\"number\"==typeof M.location?w.push(M.location+T):Array.isArray(M.location)&&M.location.length===k&&\"number\"==typeof M.location[T]?w.push(0|M.location[T]):w.push(-1);x.push({name:M.name,type:M.type,locations:A})}else x.push({name:M.name,type:M.type,locations:[w.length]}),_.push(M.name),\"number\"==typeof M.location?w.push(0|M.location):w.push(-1)}var S=0;for(b=0;b<w.length;++b)if(w[b]<0){for(;w.indexOf(S)>=0;)S+=1;w[b]=S}var E=new Array(r.length);a(),d._relink=a,d.types={uniforms:l(r),attributes:l(n)},d.attributes=s(p,d,x,w),Object.defineProperty(d,\"uniforms\",o(p,d,r,E))},e.exports=a},{\"./lib/GLError\":213,\"./lib/create-attributes\":214,\"./lib/create-uniforms\":215,\"./lib/reflect\":216,\"./lib/runtime-reflect\":217,\"./lib/shader-cache\":218}],213:[function(t,e,r){function n(t,e,r){this.shortMessage=e||\"\",this.longMessage=r||\"\",this.rawError=t||\"\",this.message=\"gl-shader: \"+(e||t||\"\")+(r?\"\\n\"+r:\"\"),this.stack=(new Error).stack}n.prototype=new Error,n.prototype.name=\"GLError\",n.prototype.constructor=n,e.exports=n},{}],214:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a){this._gl=t,this._wrapper=e,this._index=r,this._locations=n,this._dimension=i,this._constFunc=a}function i(t,e,r,i,a,o,s){for(var l=[\"gl\",\"v\"],u=[],c=0;c<a;++c)l.push(\"x\"+c),u.push(\"x\"+c);l.push(\"if(x0.length===void 0){return gl.vertexAttrib\"+a+\"f(v,\"+u.join()+\")}else{return gl.vertexAttrib\"+a+\"fv(v,x0)}\");var h=Function.apply(null,l),f=new n(t,e,r,i,a,h);Object.defineProperty(o,s,{set:function(e){return t.disableVertexAttribArray(i[r]),h(t,i[r],e),e},get:function(){return f},enumerable:!0})}function a(t,e,r,n,a,o,s){for(var l=new Array(a),u=new Array(a),c=0;c<a;++c)i(t,e,r[c],n,a,l,c),u[c]=l[c];Object.defineProperty(l,\"location\",{set:function(t){if(Array.isArray(t))for(var e=0;e<a;++e)u[e].location=t[e];else for(var e=0;e<a;++e)u[e].location=t+e;return t},get:function(){for(var t=new Array(a),e=0;e<a;++e)t[e]=n[r[e]];return t},enumerable:!0}),l.pointer=function(e,i,o,s){e=e||t.FLOAT,i=!!i,o=o||a*a,s=s||0;for(var l=0;l<a;++l){var u=n[r[l]];t.vertexAttribPointer(u,a,e,i,o,s+l*a),t.enableVertexAttribArray(u)}};var h=new Array(a),f=t[\"vertexAttrib\"+a+\"fv\"];Object.defineProperty(o,s,{set:function(e){for(var i=0;i<a;++i){var o=n[r[i]];if(t.disableVertexAttribArray(o),Array.isArray(e[0]))f.call(t,o,e[i]);else{for(var s=0;s<a;++s)h[s]=e[a*i+s];f.call(t,o,h)}}return e},get:function(){return l},enumerable:!0})}function o(t,e,r,n){for(var o={},l=0,u=r.length;l<u;++l){var c=r[l],h=c.name,f=c.type,d=c.locations;switch(f){case\"bool\":case\"int\":case\"float\":i(t,e,d[0],n,1,o,h);break;default:if(f.indexOf(\"vec\")>=0){var p=f.charCodeAt(f.length-1)-48;if(p<2||p>4)throw new s(\"\",\"Invalid data type for attribute \"+h+\": \"+f);i(t,e,d[0],n,p,o,h)}else{if(!(f.indexOf(\"mat\")>=0))throw new s(\"\",\"Unknown data type for attribute \"+h+\": \"+f);var p=f.charCodeAt(f.length-1)-48;if(p<2||p>4)throw new s(\"\",\"Invalid data type for attribute \"+h+\": \"+f);a(t,e,d,n,p,o,h)}}}return o}e.exports=o;var 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t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT),t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,d=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var p=0;p<2;++p)if(h[p]&&n[p]<=0&&n[p+2]>=0){var m=e[p]-n[p]*(e[p+2]-e[p])/(n[p+2]-n[p]);0===p?o.drawLine(m,e[1],m,e[3],d[p],f[p]):o.drawLine(e[0],m,e[2],m,d[p],f[p])}}for(var p=0;p<l.length;++p)l[p].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var v=this.borderLineEnable,g=this.borderLineWidth,y=this.borderLineColor;v[1]&&o.drawLine(r[0],r[1]-.5*g[1]*i,r[0],r[3]+.5*g[3]*i,g[1],y[1]),v[0]&&o.drawLine(r[0]-.5*g[0]*i,r[1],r[2]+.5*g[2]*i,r[1],g[0],y[0]),v[3]&&o.drawLine(r[2],r[1]-.5*g[1]*i,r[2],r[3]+.5*g[3]*i,g[3],y[3]),v[2]&&o.drawLine(r[0]-.5*g[0]*i,r[3],r[2]+.5*g[2]*i,r[3],g[2],y[2]),s.bind();for(var p=0;p<2;++p)s.drawTicks(p);this.titleEnable&&s.drawTitle();for(var b=this.overlays,p=0;p<b.length;++p)b[p].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}}}(),f.drawPick=function(){return function(){if(!this.static){var t=this.pickBuffer;this.gl;this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}}}(),f.pick=function(){return function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),u=this.objects,c=0;c<u.length;++c){var h=u[c].pick(a,o,l);if(h)return h}return null}}}(),f.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},f.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},f.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},f.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,o=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/o,10,10/o]),this.borderColor=(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=i(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=i(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=i(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t&&!t.titleEnable),this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=i(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=i(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=i(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var s=t.ticks||[[],[]],l=this._tickBounds;l[0]=l[1]=1/0,l[2]=l[3]=-1/0;for(var u=0;u<2;++u){var c=s[u].slice(0);0!==c.length&&(c.sort(a),l[u]=Math.min(l[u],c[0].x),l[u+2]=Math.max(l[u+2],c[c.length-1].x))}this.grid.update({bounds:l,ticks:s}),this.text.update({bounds:l,ticks:s,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},f.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(var t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},f.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},f.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},f.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},f.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":206,\"./lib/grid\":207,\"./lib/line\":208,\"./lib/text\":210,\"gl-select-static\":254}],220:[function(t,e,r){var n=t(\"gl-shader\");e.exports=function(t){return n(t,\"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}\",\"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}\",null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":255}],221:[function(t,e,r){\"use 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t=O.length,e=j.length,r=0;r<e;++r)F[r]=0;t:for(var r=0;r<t;++r){var n=O[r],i=n.pickSlots;if(i){for(var a=0;a<e;++a)if(F[a]+i<255){R[r]=a,n.setPickBase(F[a]+1),F[a]+=i;continue t}var o=f(A,q);R[r]=e,j.push(o),F.push(i),n.setPickBase(1),e+=1}else R[r]=-1}for(;e>0&&0===F[e-1];)F.pop(),j.pop().dispose()}function s(){if(G.contextLost)return!0;A.isContextLost()&&(G.contextLost=!0,G.mouseListener.enabled=!1,G.selection.object=null,G.oncontextloss&&G.oncontextloss())}function b(){if(!s()){A.colorMask(!0,!0,!0,!0),A.depthMask(!0),A.disable(A.BLEND),A.enable(A.DEPTH_TEST);for(var t=O.length,e=j.length,r=0;r<e;++r){var n=j[r];n.shape=Y,n.begin();for(var i=0;i<t;++i)if(R[i]===r){var a=O[i];a.drawPick&&(a.pixelRatio=1,a.drawPick(H))}n.end()}}}function x(){if(!s()){e();var t=G.camera.tick();H.view=G.camera.matrix,N=N||t,B=B||t,z.pixelRatio=G.pixelRatio,P.pixelRatio=G.pixelRatio;var r=O.length,n=Z[0],i=Z[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<r;++o){var l=O[o];l.pixelRatio=G.pixelRatio,l.axes=G.axes,N=N||!!l.dirty,B=B||!!l.dirty;var u=l.bounds;if(u)for(var h=u[0],f=u[1],d=0;d<3;++d)n[d]=Math.min(n[d],h[d]),i[d]=Math.max(i[d],f[d])}var m=G.bounds;if(G.autoBounds)for(var d=0;d<3;++d){if(i[d]<n[d])n[d]=-1,i[d]=1;else{n[d]===i[d]&&(n[d]-=1,i[d]+=1);var g=.05*(i[d]-n[d]);n[d]=n[d]-g,i[d]=i[d]+g}m[0][d]=n[d],m[1][d]=i[d]}for(var y=!1,d=0;d<3;++d)y=y||J[0][d]!==m[0][d]||J[1][d]!==m[1][d],J[0][d]=m[0][d],J[1][d]=m[1][d];if(B=B||y,N=N||y){if(y){for(var x=[0,0,0],o=0;o<3;++o)x[o]=a((m[1][o]-m[0][o])/10);z.autoTicks?z.update({bounds:m,tickSpacing:x}):z.update({bounds:m})}var _=A.drawingBufferWidth,w=A.drawingBufferHeight;q[0]=_,q[1]=w,Y[0]=0|Math.max(_/G.pixelRatio,1),Y[1]=0|Math.max(w/G.pixelRatio,1),v(U,G.fovy,_/w,G.zNear,G.zFar);for(var o=0;o<16;++o)V[o]=0;V[15]=1;for(var M=0,o=0;o<3;++o)M=Math.max(M,m[1][o]-m[0][o]);for(var o=0;o<3;++o)G.autoScale?V[5*o]=G.aspect[o]/(m[1][o]-m[0][o]):V[5*o]=1/M,G.autoCenter&&(V[12+o]=.5*-V[5*o]*(m[0][o]+m[1][o]));for(var o=0;o<r;++o){var l=O[o];l.axesBounds=m,G.clipToBounds&&(l.clipBounds=m)}S.object&&(G.snapToData?P.position=S.dataCoordinate:P.position=S.dataPosition,P.bounds=m),B&&(B=!1,b()),G.axesPixels=c(G.axes,H,_,w),G.onrender&&G.onrender(),A.bindFramebuffer(A.FRAMEBUFFER,null),A.viewport(0,0,_,w);var k=G.clearColor;A.clearColor(k[0],k[1],k[2],k[3]),A.clear(A.COLOR_BUFFER_BIT|A.DEPTH_BUFFER_BIT),A.depthMask(!0),A.colorMask(!0,!0,!0,!0),A.enable(A.DEPTH_TEST),A.depthFunc(A.LEQUAL),A.disable(A.BLEND),A.disable(A.CULL_FACE);var T=!1;z.enable&&(T=T||z.isTransparent(),z.draw(H)),P.axes=z,S.object&&P.draw(H),A.disable(A.CULL_FACE);for(var o=0;o<r;++o){var l=O[o];l.axes=z,l.pixelRatio=G.pixelRatio,l.isOpaque&&l.isOpaque()&&l.draw(H),l.isTransparent&&l.isTransparent()&&(T=!0)}if(T){E.shape=q,E.bind(),A.clear(A.DEPTH_BUFFER_BIT),A.colorMask(!1,!1,!1,!1),A.depthMask(!0),A.depthFunc(A.LESS),z.enable&&z.isTransparent()&&z.drawTransparent(H);for(var o=0;o<r;++o){var l=O[o];l.isOpaque&&l.isOpaque()&&l.draw(H)}A.enable(A.BLEND),A.blendEquation(A.FUNC_ADD),A.blendFunc(A.ONE,A.ONE_MINUS_SRC_ALPHA),A.colorMask(!0,!0,!0,!0),A.depthMask(!1),A.clearColor(0,0,0,0),A.clear(A.COLOR_BUFFER_BIT),z.isTransparent()&&z.drawTransparent(H);for(var o=0;o<r;++o){var l=O[o];l.isTransparent&&l.isTransparent()&&l.drawTransparent(H)}A.bindFramebuffer(A.FRAMEBUFFER,null),A.blendFunc(A.ONE,A.ONE_MINUS_SRC_ALPHA),A.disable(A.DEPTH_TEST),L.bind(),E.color[0].bind(0),L.uniforms.accumBuffer=0,p(A),A.disable(A.BLEND)}N=!1;for(var o=0;o<r;++o)O[o].dirty=!1}}}function _(){w||G.contextLost||(requestAnimationFrame(_),x())}t=t||{};var w=!1,M=(t.pixelRatio||parseFloat(window.devicePixelRatio),t.canvas);if(!M)if(M=document.createElement(\"canvas\"),t.container){var k=t.container;k.appendChild(M)}else document.body.appendChild(M);var A=t.gl;if(A||(A=i(M,t.glOptions||{premultipliedAlpha:!0,antialias:!0})),!A)throw new Error(\"webgl not supported\");var T=t.bounds||[[-10,-10,-10],[10,10,10]],S=new n,E=d(A,[A.drawingBufferWidth,A.drawingBufferHeight],{preferFloat:!y}),L=g(A),C=t.camera||{eye:[2,0,0],center:[0,0,0],up:[0,1,0],zoomMin:.1,zoomMax:100,mode:\"turntable\"},I=t.axes||{},z=u(A,I);z.enable=!I.disable;var D=t.spikes||{},P=h(A,D),O=[],R=[],F=[],j=[],N=!0,B=!0,U=new Array(16),V=new Array(16),H={view:null,projection:U,model:V},B=!0,q=[A.drawingBufferWidth,A.drawingBufferHeight],G={gl:A,contextLost:!1,pixelRatio:t.pixelRatio||parseFloat(window.devicePixelRatio),canvas:M,selection:S,camera:l(M,C),axes:z,axesPixels:null,spikes:P,bounds:T,objects:O,shape:q,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:o(t.autoResize),autoBounds:o(t.autoBounds),autoScale:!!t.autoScale,autoCenter:o(t.autoCenter),clipToBounds:o(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:H,oncontextloss:null,mouseListener:null},Y=[A.drawingBufferWidth/G.pixelRatio|0,A.drawingBufferHeight/G.pixelRatio|0];G.autoResize&&e(),window.addEventListener(\"resize\",e),G.update=function(t){w||(t=t||{},N=!0,B=!0)},G.add=function(t){w||(t.axes=z,O.push(t),R.push(-1),N=!0,B=!0,r())},G.remove=function(t){if(!w){var e=O.indexOf(t);e<0||(O.splice(e,1),R.pop(),N=!0,B=!0,r())}},G.dispose=function(){if(!w&&(w=!0,window.removeEventListener(\"resize\",e),M.removeEventListener(\"webglcontextlost\",s),G.mouseListener.enabled=!1,!G.contextLost)){z.dispose(),P.dispose();for(var t=0;t<O.length;++t)O[t].dispose();E.dispose();for(var t=0;t<j.length;++t)j[t].dispose();L.dispose(),A=null,z=null,P=null,O=[]}};var W=!1,X=0;G.mouseListener=m(M,function(t,e,r){if(!w){var n=j.length,i=O.length,a=S.object;S.distance=1/0,S.mouse[0]=e,S.mouse[1]=r,S.object=null,S.screen=null,S.dataCoordinate=S.dataPosition=null;var o=!1;if(t&&X)W=!0;else{W&&(B=!0),W=!1;for(var s=0;s<n;++s){var l=j[s].query(e,Y[1]-r-1,G.pickRadius);if(l){if(l.distance>S.distance)continue;for(var u=0;u<i;++u){var c=O[u];if(R[u]===s){var h=c.pick(l);h&&(S.buttons=t,S.screen=l.coord,S.distance=l.distance,S.object=c,S.index=h.distance,S.dataPosition=h.position,S.dataCoordinate=h.dataCoordinate,S.data=h,o=!0)}}}}}a&&a!==S.object&&(a.highlight&&a.highlight(null),N=!0),S.object&&(S.object.highlight&&S.object.highlight(S.data),N=!0),o=o||S.object!==a,o&&G.onselect&&G.onselect(S),1&t&&!(1&X)&&G.onclick&&G.onclick(S),X=t}}),M.addEventListener(\"webglcontextlost\",s);var Z=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],J=[Z[0].slice(),Z[1].slice()];return _(),G.redraw=function(){w||(N=!0,x())},G}e.exports=s;var l=t(\"3d-view-controls\"),u=t(\"gl-axes3d\"),c=t(\"gl-axes3d/properties\"),h=t(\"gl-spikes3d\"),f=t(\"gl-select-static\"),d=t(\"gl-fbo\"),p=t(\"a-big-triangle\"),m=t(\"mouse-change\"),v=t(\"gl-mat4/perspective\"),g=t(\"./lib/shader\"),y=t(\"is-mobile\")()},{\"./lib/shader\":220,\"3d-view-controls\":36,\"a-big-triangle\":39,\"gl-axes3d\":148,\"gl-axes3d/properties\":155,\"gl-fbo\":164,\"gl-mat4/perspective\":184,\"gl-select-static\":254,\"gl-spikes3d\":264,\"is-mobile\":296,\"mouse-change\":452}],222:[function(t,e,r){r.pointVertex=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\",r.pointFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\",r.pickVertex=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\",r.pickFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"},{}],223:[function(t,e,r){arguments[4][212][0].apply(r,arguments)},{\"./lib/GLError\":224,\"./lib/create-attributes\":225,\"./lib/create-uniforms\":226,\"./lib/reflect\":227,\"./lib/runtime-reflect\":228,\"./lib/shader-cache\":229,dup:212}],224:[function(t,e,r){arguments[4][213][0].apply(r,arguments)},{dup:213}],225:[function(t,e,r){arguments[4][214][0].apply(r,arguments)},{\n",
       "\"./GLError\":224,dup:214}],226:[function(t,e,r){arguments[4][215][0].apply(r,arguments)},{\"./GLError\":224,\"./reflect\":227,dup:215}],227:[function(t,e,r){arguments[4][216][0].apply(r,arguments)},{dup:216}],228:[function(t,e,r){arguments[4][217][0].apply(r,arguments)},{dup:217}],229:[function(t,e,r){arguments[4][218][0].apply(r,arguments)},{\"./GLError\":224,dup:218,\"gl-format-compiler-error\":165,\"weakmap-shim\":562}],230:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}function i(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}function a(t,e){var r=t.gl,i=s(r),a=s(r),l=o(r,u.pointVertex,u.pointFragment),c=o(r,u.pickVertex,u.pickFragment),h=new n(t,i,a,l,c);return h.update(e),t.addObject(h),h}var o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"typedarray-pool\"),u=t(\"./lib/shader\");e.exports=a;var c=n.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){function e(e,r){return e in t?t[e]:r}var r;t=t||{},this.sizeMin=e(\"sizeMin\",.5),this.sizeMax=e(\"sizeMax\",20),this.color=e(\"color\",[1,0,0,1]).slice(),this.areaRatio=e(\"areaRatio\",1),this.borderColor=e(\"borderColor\",[0,0,0,1]).slice(),this.blend=e(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,a=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,o=t.positions,s=i?o:l.mallocFloat32(o.length),u=a?t.idToIndex:l.mallocInt32(n);if(i||s.set(o),!a)for(s.set(o),r=0;r<n;r++)u[r]=r;this.points=o,this.offsetBuffer.update(s),this.pickBuffer.update(u),i||l.free(s),a||l.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=void 0!==r,a=n?this.pickShader:this.shader,o=this.plot.gl,s=this.plot.dataBox;if(0===this.pointCount)return r;var l=s[2]-s[0],u=s[3]-s[1],c=i(this.points,s),h=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(c,.33333)));t[0]=2/l,t[4]=2/u,t[6]=-2*s[0]/l-1,t[7]=-2*s[1]/u-1,this.offsetBuffer.bind(),a.bind(),a.attributes.position.pointer(),a.uniforms.matrix=t,a.uniforms.color=this.color,a.uniforms.borderColor=this.borderColor,a.uniforms.pointCloud=h<5,a.uniforms.pointSize=h,a.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),n&&(e[0]=255&r,e[1]=r>>8&255,e[2]=r>>16&255,e[3]=r>>24&255,this.pickBuffer.bind(),a.attributes.pickId.pointer(o.UNSIGNED_BYTE),a.uniforms.pickOffset=e,this.pickOffset=r);var f=o.getParameter(o.BLEND),d=o.getParameter(o.DITHER);return f&&!this.blend&&o.disable(o.BLEND),d&&o.disable(o.DITHER),o.drawArrays(o.POINTS,0,this.pointCount),f&&!this.blend&&o.enable(o.BLEND),d&&o.enable(o.DITHER),r+this.pointCount}}(),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":222,\"gl-buffer\":156,\"gl-shader\":223,\"typedarray-pool\":541}],231:[function(t,e,r){function n(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],h=e[2],f=e[3],d=r[0],p=r[1],m=r[2],v=r[3];return a=u*d+c*p+h*m+f*v,a<0&&(a=-a,d=-d,p=-p,m=-m,v=-v),1-a>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),t[0]=s*u+l*d,t[1]=s*c+l*p,t[2]=s*h+l*m,t[3]=s*f+l*v,t}e.exports=n},{}],232:[function(t,e,r){\"use strict\";e.exports={vertex:\"precision highp float;\\n#define GLSLIFY 1\\n\\n\\nvec4 computePosition_1_0(vec2 posHi, vec2 posLo, vec2 scHi, vec2 scLo, vec2 trHi, vec2 trLo) {\\n  return vec4((posHi + trHi) * scHi\\n  \\t\\t\\t//FIXME: this thingy does not give noticeable precision gain, need test\\n            + (posLo + trLo) * scHi\\n            + (posHi + trHi) * scLo\\n            + (posLo + trLo) * scLo\\n            , 0, 1);\\n}\\n\\n\\nattribute vec2 positionHi, positionLo;\\nattribute float size, border;\\nattribute vec2 char, color;\\n\\n//this is 64-bit form of scale and translate\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform float pixelRatio;\\nuniform vec4 viewBox;\\nuniform sampler2D palette;\\n\\nvarying vec4 charColor, borderColor;\\nvarying vec2 charId;\\nvarying vec2 pointCoord;\\nvarying float pointSize;\\nvarying float borderWidth;\\n\\n\\nvoid main() {\\n  charColor = texture2D(palette, vec2(color.x / 255., 0));\\n  borderColor = texture2D(palette, vec2(color.y / 255., 0));\\n\\n  gl_PointSize = size * pixelRatio;\\n  pointSize = size * pixelRatio;\\n\\n  charId = char;\\n  borderWidth = border;\\n\\n  gl_Position = computePosition_1_0(\\n    positionHi, positionLo,\\n    scaleHi, scaleLo,\\n    translateHi, translateLo);\\n\\n  pointCoord = viewBox.xy + (viewBox.zw - viewBox.xy) * (gl_Position.xy * .5 + .5);\\n}\\n\",fragment:\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D chars;\\nuniform vec2 charsShape;\\nuniform float charsStep, pixelRatio, charOffset;\\n\\nvarying vec4 borderColor;\\nvarying vec4 charColor;\\nvarying vec2 charId;\\nvarying vec2 pointCoord;\\nvarying float pointSize;\\nvarying float borderWidth;\\n\\nvoid main() {\\n\\tvec2 pointUV = (pointCoord - gl_FragCoord.xy + pointSize * .5) / pointSize;\\n\\tpointUV.x = 1. - pointUV.x;\\n\\tvec2 texCoord = ((charId + pointUV) * charsStep) / charsShape;\\n\\tfloat dist = texture2D(chars, texCoord).r;\\n\\n\\t//max-distance alpha\\n\\tif (dist < 1e-2)\\n\\t\\tdiscard;\\n\\n\\tfloat gamma = .0045 * charsStep / pointSize;\\n\\n    //null-border case\\n \\tif (borderWidth * borderColor.a == 0.) {\\n\\t\\tfloat charAmt = smoothstep(.748 - gamma, .748 + gamma, dist);\\n\\t\\tgl_FragColor = vec4(charColor.rgb, charAmt*charColor.a);\\n\\t\\treturn;\\n\\t}\\n\\n\\tfloat dif = 5. * pixelRatio * borderWidth / pointSize;\\n\\tfloat borderLevel = .748 - dif * .5;\\n\\tfloat charLevel = .748 + dif * .5;\\n\\n\\tfloat borderAmt = smoothstep(borderLevel - gamma, borderLevel + gamma, dist);\\n\\tfloat charAmt = smoothstep(charLevel - gamma, charLevel + gamma, dist);\\n\\n\\tvec4 color = borderColor;\\n\\tcolor.a *= borderAmt;\\n\\n\\tgl_FragColor = mix(color, charColor, charAmt);\\n}\\n\",pickVertex:\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 positionHi, positionLo;\\nattribute vec4 id;\\nattribute float size;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform vec4 pickOffset;\\nuniform float pixelRatio;\\n\\nvarying vec4 fragColor;\\n\\n\\nvec4 computePosition_1_0(vec2 posHi, vec2 posLo, vec2 scHi, vec2 scLo, vec2 trHi, vec2 trLo) {\\n  return vec4((posHi + trHi) * scHi\\n  \\t\\t\\t//FIXME: this thingy does not give noticeable precision gain, need test\\n            + (posLo + trLo) * scHi\\n            + (posHi + trHi) * scLo\\n            + (posLo + trLo) * scLo\\n            , 0, 1);\\n}\\n\\n\\nvoid main() {\\n  vec4 fragId = id + pickOffset;\\n\\n  fragId.y += floor(fragId.x / 256.0);\\n  fragId.x -= floor(fragId.x / 256.0) * 256.0;\\n\\n  fragId.z += floor(fragId.y / 256.0);\\n  fragId.y -= floor(fragId.y / 256.0) * 256.0;\\n\\n  fragId.w += floor(fragId.z / 256.0);\\n  fragId.z -= floor(fragId.z / 256.0) * 256.0;\\n\\n  fragColor = fragId / 255.0;\\n\\n  gl_PointSize = size * .25 * pixelRatio;\\n\\n  gl_Position = computePosition_1_0(\\n    positionHi, positionLo,\\n    scaleHi, scaleLo,\\n    translateHi, translateLo);\\n}\\n\",pickFragment:\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = fragColor;\\n}\\n\"}},{}],233:[function(t,e,r){arguments[4][84][0].apply(r,arguments)},{dup:84}],234:[function(t,e,r){arguments[4][212][0].apply(r,arguments)},{\"./lib/GLError\":235,\"./lib/create-attributes\":236,\"./lib/create-uniforms\":237,\"./lib/reflect\":238,\"./lib/runtime-reflect\":239,\"./lib/shader-cache\":240,dup:212}],235:[function(t,e,r){arguments[4][213][0].apply(r,arguments)},{dup:213}],236:[function(t,e,r){arguments[4][214][0].apply(r,arguments)},{\"./GLError\":235,dup:214}],237:[function(t,e,r){arguments[4][215][0].apply(r,arguments)},{\"./GLError\":235,\"./reflect\":238,dup:215}],238:[function(t,e,r){arguments[4][216][0].apply(r,arguments)},{dup:216}],239:[function(t,e,r){arguments[4][217][0].apply(r,arguments)},{dup:217}],240:[function(t,e,r){arguments[4][218][0].apply(r,arguments)},{\"./GLError\":235,dup:218,\"gl-format-compiler-error\":165,\"weakmap-shim\":562}],241:[function(t,e,r){\"use strict\";function n(t,e,r,n,a){a<=4*f?i(0,a-1,t,e,r,n):h(0,a-1,t,e,r,n)}function i(t,e,r,n,i,a){for(var o=t+1;o<=e;++o){for(var s=r[o],l=n[2*o],u=n[2*o+1],c=i[o],h=a[o],f=o;f>t;){var d=r[f-1],p=n[2*(f-1)];if((d-s||l-p)>=0)break;r[f]=d,n[2*f]=p,n[2*f+1]=n[2*f-1],i[f]=i[f-1],a[f]=a[f-1],f-=1}r[f]=s,n[2*f]=l,n[2*f+1]=u,i[f]=c,a[f]=h}}function a(t,e,r,n,i,a){var o=r[t],s=n[2*t],l=n[2*t+1],u=i[t],c=a[t];r[t]=r[e],n[2*t]=n[2*e],n[2*t+1]=n[2*e+1],i[t]=i[e],a[t]=a[e],r[e]=o,n[2*e]=s,n[2*e+1]=l,i[e]=u,a[e]=c}function o(t,e,r,n,i,a){r[t]=r[e],n[2*t]=n[2*e],n[2*t+1]=n[2*e+1],i[t]=i[e],a[t]=a[e]}function s(t,e,r,n,i,a,o){var s=n[t],l=i[2*t],u=i[2*t+1],c=a[t],h=o[t];n[t]=n[e],i[2*t]=i[2*e],i[2*t+1]=i[2*e+1],a[t]=a[e],o[t]=o[e],n[e]=n[r],i[2*e]=i[2*r],i[2*e+1]=i[2*r+1],a[e]=a[r],o[e]=o[r],n[r]=s,i[2*r]=l,i[2*r+1]=u,a[r]=c,o[r]=h}function l(t,e,r,n,i,a,o,s,l,u,c){s[t]=s[e],l[2*t]=l[2*e],l[2*t+1]=l[2*e+1],u[t]=u[e],c[t]=c[e],s[e]=r,l[2*e]=n,l[2*e+1]=i,u[e]=a,c[e]=o}function u(t,e,r,n,i){return(r[t]-r[e]||n[2*e]-n[2*t]||i[t]-i[e])<0}function c(t,e,r,n,i,a,o,s){return(e-a[t]||o[2*t]-r||i-s[t])<0}function h(t,e,r,n,d,p){var m=(e-t+1)/6|0,v=t+m,g=e-m,y=t+e>>1,b=y-m,x=y+m,_=v,w=b,M=y,k=x,A=g,T=t+1,S=e-1,E=0;u(_,w,r,n,d,p)&&(E=_,_=w,w=E),u(k,A,r,n,d,p)&&(E=k,k=A,A=E),u(_,M,r,n,d,p)&&(E=_,_=M,M=E),u(w,M,r,n,d,p)&&(E=w,w=M,M=E),u(_,k,r,n,d,p)&&(E=_,_=k,k=E),u(M,k,r,n,d,p)&&(E=M,M=k,k=E),u(w,A,r,n,d,p)&&(E=w,w=A,A=E),u(w,M,r,n,d,p)&&(E=w,w=M,M=E),u(k,A,r,n,d,p)&&(E=k,k=A,A=E);var L=r[w],C=n[2*w],I=n[2*w+1],z=d[w],D=p[w],P=r[k],O=n[2*k],R=n[2*k+1],F=d[k],j=p[k],N=_,B=M,U=A,V=v,H=y,q=g,G=r[N],Y=r[B],W=r[U];r[V]=G,r[H]=Y,r[q]=W;for(var X=0;X<2;++X){var Z=n[2*N+X],J=n[2*B+X],K=n[2*U+X];n[2*V+X]=Z,n[2*H+X]=J,n[2*q+X]=K}var Q=d[N],$=d[B],tt=d[U];d[V]=Q,d[H]=$,d[q]=tt;var et=p[N],rt=p[B],nt=p[U];p[V]=et,p[H]=rt,p[q]=nt,o(b,t,r,n,d,p),o(x,e,r,n,d,p);for(var it=T;it<=S;++it)if(c(it,L,C,I,z,r,n,d))it!==T&&a(it,T,r,n,d,p),++T;else if(!c(it,P,O,R,F,r,n,d))for(;;){if(c(S,P,O,R,F,r,n,d)){c(S,L,C,I,z,r,n,d)?(s(it,T,S,r,n,d,p),++T,--S):(a(it,S,r,n,d,p),--S);break}if(--S<it)break}l(t,T-1,L,C,I,z,D,r,n,d,p),l(e,S+1,P,O,R,F,j,r,n,d,p),T-2-t<=f?i(t,T-2,r,n,d,p):h(t,T-2,r,n,d,p),e-(S+2)<=f?i(S+2,e,r,n,d,p):h(S+2,e,r,n,d,p),S-T<=f?i(T,S,r,n,d,p):h(T,S,r,n,d,p)}e.exports=n;var f=32},{}],242:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s){for(var l=r,u=r;u<n;++u){var c=t[2*u],h=t[2*u+1],f=e[u];i<=c&&c<=o&&a<=h&&h<=s&&(u===l?l+=1:(t[2*u]=t[2*l],t[2*u+1]=t[2*l+1],e[u]=e[l],t[2*l]=c,t[2*l+1]=h,e[l]=f,l+=1))}return l}function i(t,e,r){this.pixelSize=t,this.offset=e,this.count=r}function a(t,e,r,a){function l(i,a,o,s,u,c){var h=.5*o,f=s+1,d=u-s;r[_]=d,x[_++]=c;for(var p=0;p<2;++p)for(var m=0;m<2;++m){var v=i+p*h,g=a+m*h,y=n(t,e,f,u,v,g,v+h,g+h);if(y!==f){if(y-f>=Math.max(.9*d,32)){var b=u+s>>>1;l(v,g,h,f,b,c+1),f=b}l(v,g,h,f,y,c+1),f=y}}}var u=t.length>>>1;if(u<1)return[];for(var c=1/0,h=1/0,f=-1/0,d=-1/0,p=0;p<u;++p){var m=t[2*p],v=t[2*p+1];c=Math.min(c,m),f=Math.max(f,m),h=Math.min(h,v),d=Math.max(d,v),e[p]=p}c===f&&(f+=1+Math.abs(f)),h===d&&(d+=1+Math.abs(f));var g=1/(f-c),y=1/(d-h),b=Math.max(f-c,d-h);a=a||[0,0,0,0],a[0]=c,a[1]=h,a[2]=f,a[3]=d;var x=o.mallocInt32(u),_=0;l(c,h,b,0,u,0),s(x,t,e,r,u);for(var w=[],M=0,k=u,_=u-1;_>=0;--_){t[2*_]=(t[2*_]-c)*g,t[2*_+1]=(t[2*_+1]-h)*y;var A=x[_];A!==M&&(w.push(new i(b*Math.pow(.5,A),_+1,k-(_+1))),k=_+1,M=A)}return w.push(new i(b*Math.pow(.5,A+1),0,k)),o.free(x),w}var o=t(\"typedarray-pool\"),s=t(\"./lib/sort\");e.exports=a},{\"./lib/sort\":241,\"typedarray-pool\":541}],243:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.sizeBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.charBuffer=s,this.pointCount=0,this.pickOffset=0,this.points=null,this.scales=[],this.xCoords=[],this.charCanvas=document.createElement(\"canvas\"),this.charTexture=m(this.plot.gl,this.charCanvas),this.charStep=400,this.charFit=.255,this.snapThreshold=1e4,this.paletteTexture=m(this.plot.gl,[256,1])}function i(){var t=this.plot,e=t.viewBox,r=t.dataBox,n=t.pixelRatio,i=r[2]-r[0],a=r[3]-r[1],u=2/i,c=2/a,h=-r[0]-.5*i,f=-r[1]-.5*a;_[0]=u,w[0]=u-_[0],_[1]=c,w[1]=c-_[1],M[0]=h,k[0]=h-M[0],M[1]=f,k[1]=f-M[1];var d=e[2]-e[0],p=e[3]-e[1];o=Math.min(i/d,a/p),A[0]=2*n/d,A[1]=2*n/p,s=r[0],l=r[2]}function a(t,e){var r=t.gl,i=u(r,f.vertex,f.fragment),a=u(r,f.pickVertex,f.pickFragment),o=c(r),s=c(r),l=c(r),h=c(r),d=c(r),p=new n(t,i,a,o,s,l,h,d);return p.update(e),t.addObject(p),p}e.exports=a;var o,s,l,u=t(\"gl-shader\"),c=t(\"gl-buffer\"),h=t(\"typedarray-pool\"),f=t(\"./lib/shaders\"),d=t(\"snap-points-2d\"),p=t(\"font-atlas-sdf\"),m=t(\"gl-texture2d\"),v=t(\"color-id\"),g=t(\"ndarray\"),y=t(\"clamp\"),b=t(\"binary-search-bounds\"),x=n.prototype,_=new Float32Array([0,0]),w=new Float32Array([0,0]),M=new Float32Array([0,0]),k=new Float32Array([0,0]),A=[0,0],T=[0,0,0,0];x.drawPick=function(t){var e=void 0!==t,r=this.plot,n=this.pointCount,a=n>this.snapThreshold;if(!n)return t;i.call(this);var u=r.gl,c=e?this.pickShader:this.shader,h=u.isEnabled(u.BLEND);if(c.bind(),e){this.pickOffset=t;for(var f=0;f<4;++f)T[f]=t>>8*f&255;c.uniforms.pickOffset=T,this.idBuffer.bind(),c.attributes.id.pointer(u.UNSIGNED_BYTE,!1)}else u.blendFuncSeparate(u.SRC_ALPHA,u.ONE_MINUS_SRC_ALPHA,u.ONE,u.ONE_MINUS_SRC_ALPHA),u.blendColor(0,0,0,1),h||u.enable(u.BLEND),this.colorBuffer.bind(),c.attributes.color.pointer(u.UNSIGNED_BYTE,!1),this.charBuffer.bind(),c.attributes.char.pointer(u.UNSIGNED_BYTE,!1),c.uniforms.chars=this.charTexture.bind(0),c.uniforms.charsShape=[this.charCanvas.width,this.charCanvas.height],c.uniforms.charsStep=this.charStep,c.uniforms.palette=this.paletteTexture.bind(1);this.sizeBuffer.bind(),c.attributes.size.pointer(u.FLOAT,!1,8,0),e||c.attributes.border.pointer(u.FLOAT,!1,8,4),this.positionBuffer.bind(),c.attributes.positionHi.pointer(u.FLOAT,!1,16,0),c.attributes.positionLo.pointer(u.FLOAT,!1,16,8),c.uniforms.pixelRatio=r.pixelRatio,c.uniforms.scaleHi=_,c.uniforms.scaleLo=w,c.uniforms.translateHi=M,c.uniforms.translateLo=k,c.uniforms.viewBox=r.viewBox;var d=this.scales;if(a)for(var p=d.length-1;p>=0;p--){var m=d[p];if(!(m.pixelSize&&m.pixelSize<1.25*o&&p>1)){var v=m.offset,g=m.count+v,y=b.ge(this.xCoords,s,v,g-1),x=b.lt(this.xCoords,l,y,g-1)+1;x>y&&u.drawArrays(u.POINTS,y,x-y)}}else u.drawArrays(u.POINTS,0,n);if(e)return t+n;h?u.blendFunc(u.ONE,u.ONE_MINUS_SRC_ALPHA):u.disable(u.BLEND)},x.draw=x.drawPick,x.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}},x.update=function(t){t=t||{};var e=t.positions||[],r=t.colors||[],n=t.glyphs||[],i=t.sizes||[],a=t.borderWidths||[],o=t.borderColors||[],s=this.plot.gl,l=this.pointCount,u=l>this.snapThreshold;if(null!=t.positions){this.points=e,l=this.points.length/2,u=l>this.snapThreshold;var c=h.mallocFloat32(2*l),f=h.mallocFloat64(2*l),m=h.mallocUint32(l),b=h.mallocFloat32(4*l);f.set(this.points),u&&(this.i2idx&&h.free(this.i2idx),this.i2idx=h.mallocInt32(l),this.scales=d(f,this.i2idx,c)),this.pointCount=l;for(var x=0;x<l;++x){var _=u?this.i2idx[x]:x;m[x]=_;var w=e[2*_],M=e[2*_+1];b[4*x]=w,b[4*x+1]=M,b[4*x+2]=w-b[4*x],b[4*x+3]=M-b[4*x+1],this.xCoords[x]=w}this.idBuffer.update(m),this.positionBuffer.update(b),h.free(b),h.free(m),h.free(f),h.free(c)}for(var k=h.mallocFloat32(2*l),A=h.mallocUint8(2*l),T=h.mallocUint8(2*l),S={},E=[],L=[],C=[],x=0,I=l,z=0;x<I;++x){var D=[255*r[4*x],255*r[4*x+1],255*r[4*x+2],255*r[4*x+3]],P=v(D,!1);null==S[P]&&(S[P]=z++,L.push(D[0]),L.push(D[1]),L.push(D[2]),L.push(D[3])),E.push(P),o&&o.length&&(D=[255*o[4*x],255*o[4*x+1],255*o[4*x+2],255*o[4*x+3]],P=v(D,!1),null==S[P]&&(S[P]=z++,L.push(D[0]),L.push(D[1]),L.push(D[2]),L.push(D[3])),C.push(P))}for(var O={},x=0,I=l,z=0;x<I;x++){var R=n[x];null==O[R]&&(O[R]=z++)}for(var F=0,x=0,I=i.length;x<I;++x)i[x]>F&&(F=i[x]);var j=this.charStep;this.charStep=y(Math.ceil(4*F),128,768);var N=Object.keys(O),B=this.charStep,U=Math.floor(B/2),V=s.getParameter(s.MAX_TEXTURE_SIZE),H=V/B*(V/B),q=Math.min(V,B*N.length),G=Math.min(V,B*Math.ceil(B*N.length/V)),Y=Math.floor(q/B);N.length>H&&console.warn(\"gl-scatter2d-fancy: number of characters is more than maximum texture size. Try reducing it.\"),this.chars&&this.chars+\"\"==N+\"\"&&this.charStep==j||(this.charCanvas=p({canvas:this.charCanvas,family:\"sans-serif\",size:U,shape:[q,G],step:[B,B],chars:N,align:!0,fit:this.charFit}),this.chars=N);for(var x=0;x<l;++x){var _=u?this.i2idx[x]:x,W=i[_],X=a[_];k[2*x]=2*W,k[2*x+1]=X;var P=E[_],Z=S[P];A[2*x]=Z;var J=C[_],K=S[J];A[2*x+1]=K;var R=n[_],Q=O[R];T[2*x+1]=Math.floor(Q/Y),T[2*x]=Q%Y}this.sizeBuffer.update(k),this.colorBuffer.update(A),this.charBuffer.update(T),this.charTexture.shape=[this.charCanvas.width,this.charCanvas.height],this.charCanvas&&this.charCanvas.width&&this.charTexture.setPixels(this.charCanvas),this.paletteTexture.setPixels(g(L.slice(0,1024),[256,1,4])),h.free(k),h.free(A),h.free(T)},x.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.sizeBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.charBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":232,\"binary-search-bounds\":233,clamp:88,\"color-id\":92,\"font-atlas-sdf\":134,\"gl-buffer\":156,\"gl-shader\":234,\"gl-texture2d\":267,ndarray:467,\"snap-points-2d\":242,\"typedarray-pool\":541}],244:[function(t,e,r){r.pointVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 positionHi, positionLo;\\nattribute float weight;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform float pointSize, useWeight;\\n\\nvarying float fragWeight;\\n\\n\\nvec4 pfx_1_0(vec2 scaleHi, vec2 scaleLo, vec2 translateHi, vec2 translateLo, vec2 positionHi, vec2 positionLo) {\\n  return vec4((positionHi + translateHi) * scaleHi\\n            + (positionLo + translateLo) * scaleHi\\n            + (positionHi + translateHi) * scaleLo\\n            + (positionLo + translateLo) * scaleLo, 0.0, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position = pfx_1_0(scaleHi, scaleLo, translateHi, translateLo, positionHi, positionLo);\\n  gl_PointSize = pointSize;\\n  fragWeight = mix(1.0, weight, useWeight);\\n}\",r.pointFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\n\\nvarying float fragWeight;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float radius = length(2.0*gl_PointCoord.xy-1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  vec4 baseColor = mix(borderColor, color, smoothStep(radius, centerFraction));\\n  float alpha = 1.0 - pow(1.0 - baseColor.a, fragWeight);\\n  gl_FragColor = vec4(baseColor.rgb * alpha, alpha);\\n}\\n\",r.pickVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nvec4 pfx_1_0(vec2 scaleHi, vec2 scaleLo, vec2 translateHi, vec2 translateLo, vec2 positionHi, vec2 positionLo) {\\n  return vec4((positionHi + translateHi) * scaleHi\\n            + (positionLo + translateLo) * scaleHi\\n            + (positionHi + translateHi) * scaleLo\\n            + (positionLo + translateLo) * scaleLo, 0.0, 1.0);\\n}\\n\\nattribute vec2 positionHi, positionLo;\\nattribute vec4 pickId;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_Position = pfx_1_0(scaleHi, scaleLo, translateHi, translateLo, positionHi, positionLo);\\n  gl_PointSize = pointSize;\\n  fragId = id;\\n}\",r.pickFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\"},{}],245:[function(t,e,r){arguments[4][84][0].apply(r,arguments)},{dup:84}],246:[function(t,e,r){arguments[4][241][0].apply(r,arguments)},{dup:241}],247:[function(t,e,r){arguments[4][242][0].apply(r,arguments)},{\"./lib/sort\":246,dup:242,\"typedarray-pool\":541}],248:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o){this.plot=t,this.positionBufferHi=e,this.positionBufferLo=r,this.pickBuffer=n,this.weightBuffer=i,this.shader=a,this.pickShader=o,this.scales=[],this.size=12,this.borderSize=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0,this.points=null,this.xCoords=null,this.snapPoints=!0}function i(t,e){var r=t.gl,i=o(r),s=o(r),l=o(r),u=o(r),h=a(r,c.pointVertex,c.pointFragment),f=a(r,c.pickVertex,c.pickFragment),d=new n(t,i,s,l,u,h,f);return d.update(e),t.addObject(d),d}var a=t(\"gl-shader\"),o=t(\"gl-buffer\"),s=t(\"binary-search-bounds\"),l=t(\"snap-points-2d\"),u=t(\"typedarray-pool\"),c=t(\"./lib/shader\"),h=t(\"array-normalize\"),f=t(\"array-bounds\");e.exports=i;var d=n.prototype,p=new Float32Array(2),m=new Float32Array(2),v=new Float32Array(2),g=new Float32Array(2),y=[0,0,0,0];d.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBufferHi.dispose(),this.positionBufferLo.dispose(),this.pickBuffer.dispose(),this.xCoords&&u.free(this.xCoords),this.plot.removeObject(this)},d.update=function(t){function e(e,r){return e in t?t[e]:r}if(t=t||{},this.size=e(\"size\",12),this.color=e(\"color\",[1,0,0,1]).slice(),this.borderSize=e(\"borderSize\",1),this.borderColor=e(\"borderColor\",[0,0,0,1]).slice(),this.snapPoints=e(\"snapPoints\",!0),null!=t.positions){this.xCoords&&u.free(this.xCoords),this.points=t.positions;var r=this.points.length>>>1,n=u.mallocInt32(r),i=u.mallocFloat32(r),a=u.mallocFloat64(2*r);if(a.set(this.points),this.snapPoints)this.scales=l(a,n,i,this.bounds);else{this.bounds=f(a,2),h(a,2,this.bounds);for(var o=0;o<r;o++)n[o]=o,i[o]=1}var s=u.mallocFloat64(r),c=u.mallocFloat32(2*r),d=u.mallocFloat32(2*r);c.set(a);for(var o=0,p=0;o<r;o++,p+=2)d[p]=a[p]-c[p],d[p+1]=a[p+1]-c[p+1],s[o]=a[p];this.positionBufferHi.update(c),this.positionBufferLo.update(d),this.pickBuffer.update(n),this.weightBuffer.update(i),u.free(c),u.free(d),u.free(i),u.free(a),u.free(n),this.xCoords=s,this.pointCount=r,this.pickOffset=0}},d.draw=function(t){var e=void 0!==t,r=this.plot,n=e?this.pickShader:this.shader,i=this.scales,a=this.positionBufferHi,o=this.positionBufferLo,s=this.pickBuffer,l=this.bounds,u=this.size,c=this.borderSize,h=r.gl,f=e?r.pickPixelRatio:r.pixelRatio,d=r.viewBox,b=r.dataBox;if(0===this.pointCount)return t;var x=l[2]-l[0],_=l[3]-l[1],w=b[2]-b[0],M=b[3]-b[1],k=(d[2]-d[0])*f/r.pixelRatio,A=(d[3]-d[1])*f/r.pixelRatio,T=this.pixelSize=Math.min(w/k,M/A),S=2*x/w,E=2*_/M;p[0]=S,p[1]=E,m[0]=S-p[0],m[1]=E-p[1];var L=(l[0]-b[0]-.5*w)/x,C=(l[1]-b[1]-.5*M)/_;v[0]=L,v[1]=C,g[0]=L-v[0],g[1]=C-v[1],n.bind(),n.uniforms.scaleHi=p,n.uniforms.scaleLo=m,n.uniforms.translateHi=v,n.uniforms.translateLo=g,n.uniforms.color=this.color,n.uniforms.borderColor=this.borderColor,n.uniforms.pointSize=f*(u+c),n.uniforms.centerFraction=0===this.borderSize?2:u/(u+c+1.25),a.bind(),n.attributes.positionHi.pointer(),o.bind(),n.attributes.positionLo.pointer(),e?(this.pickOffset=t,y[0]=255&t,y[1]=t>>8&255,y[2]=t>>16&255,y[3]=t>>24&255,n.uniforms.pickOffset=y,s.bind(),n.attributes.pickId.pointer(h.UNSIGNED_BYTE)):(n.uniforms.useWeight=1,this.weightBuffer.bind(),n.attributes.weight.pointer());var I=!0;if(this.snapPoints)for(var z=i.length-1;z>=0;z--){var D=i[z];if(!(D.pixelSize<T&&z>1)){var P=this.getVisibleRange(D),O=P[0],R=P[1];R>O&&h.drawArrays(h.POINTS,O,R-O),!e&&I&&(I=!1,n.uniforms.useWeight=0)}}else h.drawArrays(h.POINTS,0,this.pointCount);return t+this.pointCount},d.getVisibleRange=function(t){var e=this.plot.dataBox,r=this.bounds,n=this.pixelSize,i=this.size,a=this.plot.pixelRatio,o=r[2]-r[0];r[3],r[1];if(!t)for(var t,l=this.scales.length-1;l>=0&&(t=this.scales[l],t.pixelSize<n&&l>1);l--);var u=this.xCoords,c=(e[0]-r[0]-n*i*a)/o,h=(e[2]-r[0]+n*i*a)/o,f=t.offset,d=t.count+f,p=s.ge(u,c,f,d-1);return[p,s.lt(u,h,p,d-1)+1]},d.drawPick=d.draw,d.pick=function(t,e,r){var n=r-this.pickOffset;return n<0||n>=this.pointCount?null:{object:this,pointId:n,dataCoord:[this.points[2*n],this.points[2*n+1]]}}},{\"./lib/shader\":244,\"array-bounds\":44,\"array-normalize\":45,\"binary-search-bounds\":245,\"gl-buffer\":156,\"gl-shader\":255,\"snap-points-2d\":247,\"typedarray-pool\":541}],249:[function(t,e,r){\"use strict\";function n(t,e){var r=a[e];if(r||(r=a[e]={}),t in r)return r[t];for(var n=i(t,{textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e}),o=i(t,{triangles:!0,textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e}),s=[[1/0,1/0],[-1/0,-1/0]],l=0;l<n.positions.length;++l)for(var u=n.positions[l],c=0;c<2;++c)s[0][c]=Math.min(s[0][c],u[c]),s[1][c]=Math.max(s[1][c],u[c]);return r[t]=[o,n,s]}var i=t(\"vectorize-text\");e.exports=n;var a={}},{\"vectorize-text\":554}],250:[function(t,e,r){function n(t,e){var r=i(t,e),n=r.attributes;return n.position.location=0,n.color.location=1,n.glyph.location=2,n.id.location=3,r}var i=t(\"gl-shader\"),a=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\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(any(lessThan(position, clipBounds[0]))   || \\n     any(greaterThan(position, clipBounds[1])) ) {\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 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}\",o=\"precision mediump float;\\n#define GLSLIFY 1\\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(any(lessThan(position, clipBounds[0])) || any(greaterThan(position, clipBounds[1]))) {\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 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}\",s=\"precision mediump float;\\n#define GLSLIFY 1\\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(any(lessThan(position, clipBounds[0]))   ||\\n     any(greaterThan(position, clipBounds[1])) ) {\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 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\",l=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if(any(lessThan(dataCoordinate, fragClipBounds[0]))   ||\\n     any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\\n    discard;\\n  } else {\\n    gl_FragColor = interpColor * opacity;\\n  }\\n}\\n\",u=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if(any(lessThan(dataCoordinate, fragClipBounds[0]))   || \\n     any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\\n    discard;\\n  } else {\\n    gl_FragColor = vec4(pickGroup, pickId.bgr);\\n  }\\n}\",c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:a,fragment:l,attributes:c},f={vertex:o,fragment:l,attributes:c},d={vertex:s,fragment:l,attributes:c},p={vertex:a,fragment:u,attributes:c},m={vertex:o,fragment:u,attributes:c},v={vertex:s,fragment:u,attributes:c};r.createPerspective=function(t){return n(t,h)},r.createOrtho=function(t){return n(t,f)},r.createProject=function(t){return n(t,d)},r.createPickPerspective=function(t){return n(t,p)},r.createPickOrtho=function(t){return n(t,m)},r.createPickProject=function(t){return n(t,v)}},{\"gl-shader\":255}],251:[function(t,e,r){\"use strict\";function n(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 i(t,e,r,i){return n(i,i,r),n(i,i,e),n(i,i,t)}function a(t,e){this.index=t,this.dataCoordinate=this.position=e}function o(t,e,r,n,i,o,s,l,u,c,h,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=o,this.glyphBuffer=s,this.idBuffer=l,this.vao=u,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=h,this.pickProjectShader=f,this.points=[],this._selectResult=new a(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}function s(t){return t[0]=t[1]=t[2]=0,t}function l(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function u(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function c(t){for(var e=L,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}function h(t,e,r,n,a){var o,h=e.axesProject,f=e.gl,d=t.uniforms,p=r.model||x,m=r.view||x,v=r.projection||x,y=e.axesBounds,b=c(e.clipBounds);o=e.axes?e.axes.lastCubeProps.axis:[1,1,1],w[0]=2/f.drawingBufferWidth,w[1]=2/f.drawingBufferHeight,t.bind(),d.view=m,d.projection=v,d.screenSize=w,d.highlightId=e.highlightId,d.highlightScale=e.highlightScale,d.clipBounds=b,\n",
       "d.pickGroup=e.pickId/255,d.pixelRatio=e.pixelRatio;for(var _=0;_<3;++_)if(h[_]&&e.projectOpacity[_]<1===n){d.scale=e.projectScale[_],d.opacity=e.projectOpacity[_];for(var L=S,C=0;C<16;++C)L[C]=0;for(var C=0;C<4;++C)L[5*C]=1;L[5*_]=0,o[_]<0?L[12+_]=y[0][_]:L[12+_]=y[1][_],g(L,p,L),d.model=L;var I=(_+1)%3,z=(_+2)%3,D=s(M),P=s(k);D[I]=1,P[z]=1;var O=i(v,m,p,l(A,D)),R=i(v,m,p,l(T,P));if(Math.abs(O[1])>Math.abs(R[1])){var F=O;O=R,R=F,F=D,D=P,P=F;var j=I;I=z,z=j}O[0]<0&&(D[I]=-1),R[1]>0&&(P[z]=-1);for(var N=0,B=0,C=0;C<4;++C)N+=Math.pow(p[4*I+C],2),B+=Math.pow(p[4*z+C],2);D[I]/=Math.sqrt(N),P[z]/=Math.sqrt(B),d.axes[0]=D,d.axes[1]=P,d.fragClipBounds[0]=u(E,b[0],_,-1e8),d.fragClipBounds[1]=u(E,b[1],_,1e8),e.vao.draw(f.TRIANGLES,e.vertexCount),e.lineWidth>0&&(f.lineWidth(e.lineWidth),e.vao.draw(f.LINES,e.lineVertexCount,e.vertexCount))}}function f(t,e,r,n,i,a){var o=r.gl;if(r.vao.bind(),i===r.opacity<1||a){t.bind();var s=t.uniforms;s.model=n.model||x,s.view=n.view||x,s.projection=n.projection||x,w[0]=2/o.drawingBufferWidth,w[1]=2/o.drawingBufferHeight,s.screenSize=w,s.highlightId=r.highlightId,s.highlightScale=r.highlightScale,s.fragClipBounds=z,s.clipBounds=r.axes.bounds,s.opacity=r.opacity,s.pickGroup=r.pickId/255,s.pixelRatio=r.pixelRatio,r.vao.draw(o.TRIANGLES,r.vertexCount),r.lineWidth>0&&(o.lineWidth(r.lineWidth),r.vao.draw(o.LINES,r.lineVertexCount,r.vertexCount))}h(e,r,n,i,a),r.vao.unbind()}function d(t){var e=t.gl,r=y.createPerspective(e),n=y.createOrtho(e),i=y.createProject(e),a=y.createPickPerspective(e),s=y.createPickOrtho(e),l=y.createPickProject(e),u=p(e),c=p(e),h=p(e),f=p(e),d=m(e,[{buffer:u,size:3,type:e.FLOAT},{buffer:c,size:4,type:e.FLOAT},{buffer:h,size:2,type:e.FLOAT},{buffer:f,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new o(e,r,n,i,u,c,h,f,d,a,s,l);return v.update(t),v}var p=t(\"gl-buffer\"),m=t(\"gl-vao\"),v=t(\"typedarray-pool\"),g=t(\"gl-mat4/multiply\"),y=t(\"./lib/shaders\"),b=t(\"./lib/glyphs\"),x=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];e.exports=d;var _=o.prototype;_.pickSlots=1,_.setPickBase=function(t){this.pickId=t},_.isTransparent=function(){if(this.opacity<1)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectOpacity[t]<1)return!0;return!1},_.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectOpacity[t]>=1)return!0;return!1};var w=[0,0],M=[0,0,0],k=[0,0,0],A=[0,0,0,1],T=[0,0,0,1],S=x.slice(),E=[0,0,0],L=[[0,0,0],[0,0,0]],C=[-1e8,-1e8,-1e8],I=[1e8,1e8,1e8],z=[C,I];_.draw=function(t){f(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,!1,!1)},_.drawTransparent=function(t){f(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,!0,!1)},_.drawPick=function(t){f(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,!1,!0)},_.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},_.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},_.update=function(t){if(t=t||{},\"perspective\"in t&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(\"projectOpacity\"in t)if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{var r=+t.projectOpacity;this.projectOpacity=[r,r,r]}\"opacity\"in t&&(this.opacity=t.opacity),this.dirty=!0;var n=t.position;if(n){var i=t.font||\"normal\",a=t.alignment||[0,0],o=[1/0,1/0,1/0],s=[-1/0,-1/0,-1/0],l=t.glyph,u=t.color,c=t.size,h=t.angle,f=t.lineColor,d=0,p=0,m=0,g=n.length;t:for(var y=0;y<g;++y){for(var x=n[y],_=0;_<3;++_)if(isNaN(x[_])||!isFinite(x[_]))continue t;var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b(\"\\u25cf\",i);var M=w[0],k=w[1],A=w[2];p+=3*M.cells.length,m+=2*k.edges.length}var T=p+m,S=v.mallocFloat(3*T),E=v.mallocFloat(4*T),L=v.mallocFloat(2*T),C=v.mallocUint32(T),I=[0,a[1]],z=0,D=p,P=[0,0,0,1],O=[0,0,0,1],R=Array.isArray(u)&&Array.isArray(u[0]),F=Array.isArray(f)&&Array.isArray(f[0]);t:for(var y=0;y<g;++y){for(var x=n[y],_=0;_<3;++_){if(isNaN(x[_])||!isFinite(x[_])){d+=1;continue t}s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_])}var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b(\"\\u25cf\",i);var M=w[0],k=w[1],A=w[2];if(Array.isArray(u)){var j;if(j=R?u[y]:u,3===j.length){for(var _=0;_<3;++_)P[_]=j[_];P[3]=1}else if(4===j.length)for(var _=0;_<4;++_)P[_]=j[_]}else P[0]=P[1]=P[2]=0,P[3]=1;if(Array.isArray(f)){var j;if(j=F?f[y]:f,3===j.length){for(var _=0;_<3;++_)O[_]=j[_];O[_]=1}else if(4===j.length)for(var _=0;_<4;++_)O[_]=j[_]}else O[0]=O[1]=O[2]=0,O[3]=1;var N=.5;Array.isArray(c)?N=+c[y]:c?N=+c:this.useOrtho&&(N=12);var B=0;Array.isArray(h)?B=+h[y]:h&&(B=+h);for(var U=Math.cos(B),V=Math.sin(B),x=n[y],_=0;_<3;++_)s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_]);a[0]<0?I[0]=a[0]*(1+A[1][0]):a[0]>0&&(I[0]=-a[0]*(1+A[0][0]));for(var H=M.cells,q=M.positions,_=0;_<H.length;++_)for(var G=H[_],Y=0;Y<3;++Y){for(var W=0;W<3;++W)S[3*z+W]=x[W];for(var W=0;W<4;++W)E[4*z+W]=P[W];C[z]=d;var X=q[G[Y]];L[2*z]=N*(U*X[0]-V*X[1]+I[0]),L[2*z+1]=N*(V*X[0]+U*X[1]+I[1]),z+=1}for(var H=k.edges,q=k.positions,_=0;_<H.length;++_)for(var G=H[_],Y=0;Y<2;++Y){for(var W=0;W<3;++W)S[3*D+W]=x[W];for(var W=0;W<4;++W)E[4*D+W]=O[W];C[D]=d;var X=q[G[Y]];L[2*D]=N*(U*X[0]-V*X[1]+I[0]),L[2*D+1]=N*(V*X[0]+U*X[1]+I[1]),D+=1}d+=1}this.vertexCount=p,this.lineVertexCount=m,this.pointBuffer.update(S),this.colorBuffer.update(E),this.glyphBuffer.update(L),this.idBuffer.update(new Uint32Array(C)),v.free(S),v.free(E),v.free(L),v.free(C),this.bounds=[o,s],this.points=n,this.pointCount=n.length}},_.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()}},{\"./lib/glyphs\":249,\"./lib/shaders\":250,\"gl-buffer\":156,\"gl-mat4/multiply\":183,\"gl-vao\":271,\"typedarray-pool\":541}],252:[function(t,e,r){\"use strict\";r.boxVertex=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\",r.boxFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"},{}],253:[function(t,e,r){\"use strict\";function n(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}function i(t,e){var r=t.gl,i=o(r,[0,0,0,1,1,0,1,1]),l=a(r,s.boxVertex,s.boxFragment),u=new n(t,i,l);return u.update(e),t.addOverlay(u),u}var a=t(\"gl-shader\"),o=t(\"gl-buffer\"),s=t(\"./lib/shaders\");e.exports=i;var l=n.prototype;l.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,u=t.viewBox,c=t.pixelRatio,h=(e[0]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],f=(e[1]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1],d=(e[2]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],p=(e[3]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1];if(h=Math.max(h,u[0]),f=Math.max(f,u[1]),d=Math.min(d,u[2]),p=Math.min(p,u[3]),!(d<h||p<f)){o.bind();var m=s[2]-s[0],v=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,m,f,i),o.drawBox(0,f,h,p,i),o.drawBox(0,p,m,v,i),o.drawBox(d,f,m,p,i)),this.innerFill&&o.drawBox(h,f,d,p,n),r>0){var g=r*c;o.drawBox(h-g,f-g,d+g,f+g,a),o.drawBox(h-g,p-g,d+g,p+g,a),o.drawBox(h-g,f-g,h+g,p+g,a),o.drawBox(d-g,f-g,d+g,p+g,a)}}}},l.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},l.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":252,\"gl-buffer\":156,\"gl-shader\":255}],254:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function i(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}function a(t,e){return new i(t,o(t,e),s.mallocUint8(e[0]*e[1]*4))}e.exports=a;var o=t(\"gl-fbo\"),s=t(\"typedarray-pool\"),l=t(\"ndarray\"),u=t(\"bit-twiddle\").nextPow2,c=t(\"cwise/lib/wrapper\")({args:[\"array\",{offset:[0,0,1],array:0},{offset:[0,0,2],array:0},{offset:[0,0,3],array:0},\"scalar\",\"scalar\",\"index\"],pre:{body:\"{this_closestD2=1e8,this_closestX=-1,this_closestY=-1}\",args:[],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[]},body:{body:\"{if(_inline_46_arg0_<255||_inline_46_arg1_<255||_inline_46_arg2_<255||_inline_46_arg3_<255){var _inline_46_l=_inline_46_arg4_-_inline_46_arg6_[0],_inline_46_a=_inline_46_arg5_-_inline_46_arg6_[1],_inline_46_f=_inline_46_l*_inline_46_l+_inline_46_a*_inline_46_a;_inline_46_f<this_closestD2&&(this_closestD2=_inline_46_f,this_closestX=_inline_46_arg6_[0],this_closestY=_inline_46_arg6_[1])}}\",args:[{name:\"_inline_46_arg0_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg1_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg2_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg3_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg4_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg5_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg6_\",lvalue:!1,rvalue:!0,count:4}],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[\"_inline_46_a\",\"_inline_46_f\",\"_inline_46_l\"]},post:{body:\"{return[this_closestX,this_closestY,this_closestD2]}\",args:[],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[]},debug:!1,funcName:\"cwise\",blockSize:64}),h=i.prototype;Object.defineProperty(h,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){s.free(this.buffer);for(var n=this.buffer=s.mallocUint8(u(r*e*4)),i=0;i<r*e*4;++i)n[i]=255}return t}}}),h.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},h.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},h.query=function(t,e,r){if(!this.gl)return null;var i=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var a=0|Math.min(Math.max(t-r,0),i[0]),o=0|Math.min(Math.max(t+r,0),i[0]),s=0|Math.min(Math.max(e-r,0),i[1]),u=0|Math.min(Math.max(e+r,0),i[1]);if(o<=a||u<=s)return null;var h=[o-a,u-s],f=l(this.buffer,[h[0],h[1],4],[4,4*i[0],1],4*(a+i[0]*s)),d=c(f.hi(h[0],h[1],1),r,r),p=d[0],m=d[1];return p<0||Math.pow(this.radius,2)<d[2]?null:new n(p+a|0,m+s|0,f.get(p,m,0),[f.get(p,m,1),f.get(p,m,2),f.get(p,m,3)],Math.sqrt(d[2]))},h.dispose=function(){this.gl&&(this.fbo.dispose(),s.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":67,\"cwise/lib/wrapper\":113,\"gl-fbo\":164,ndarray:467,\"typedarray-pool\":541}],255:[function(t,e,r){\"use strict\";function n(t){this.gl=t,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}function i(t,e){return t.name<e.name?-1:1}function a(t,e,r,i,a){var o=new n(t);return o.update(e,r,i,a),o}var o=t(\"./lib/create-uniforms\"),s=t(\"./lib/create-attributes\"),l=t(\"./lib/reflect\"),u=t(\"./lib/shader-cache\"),c=t(\"./lib/runtime-reflect\"),h=t(\"./lib/GLError\"),f=n.prototype;f.bind=function(){this.program||this._relink(),this.gl.useProgram(this.program)},f.dispose=function(){this._fref&&this._fref.dispose(),this._vref&&this._vref.dispose(),this.attributes=this.types=this.vertShader=this.fragShader=this.program=this._relink=this._fref=this._vref=null},f.update=function(t,e,r,n){function a(){d.program=u.program(p,d._vref,d._fref,x,_);for(var t=0;t<r.length;++t)E[t]=p.getUniformLocation(d.program,r[t].name)}if(!e||1===arguments.length){var f=t;t=f.vertex,e=f.fragment,r=f.uniforms,n=f.attributes}var d=this,p=d.gl,m=d._vref;d._vref=u.shader(p,p.VERTEX_SHADER,t),m&&m.dispose(),d.vertShader=d._vref.shader;var v=this._fref;if(d._fref=u.shader(p,p.FRAGMENT_SHADER,e),v&&v.dispose(),d.fragShader=d._fref.shader,!r||!n){var g=p.createProgram();if(p.attachShader(g,d.fragShader),p.attachShader(g,d.vertShader),p.linkProgram(g),!p.getProgramParameter(g,p.LINK_STATUS)){var y=p.getProgramInfoLog(g);throw new h(y,\"Error linking program:\"+y)}r=r||c.uniforms(p,g),n=n||c.attributes(p,g),p.deleteProgram(g)}n=n.slice(),n.sort(i);for(var b=[],x=[],_=[],w=0;w<n.length;++w){var M=n[w];if(M.type.indexOf(\"mat\")>=0){for(var k=0|M.type.charAt(M.type.length-1),A=new Array(k),T=0;T<k;++T)A[T]=_.length,x.push(M.name+\"[\"+T+\"]\"),\"number\"==typeof M.location?_.push(M.location+T):Array.isArray(M.location)&&M.location.length===k&&\"number\"==typeof M.location[T]?_.push(0|M.location[T]):_.push(-1);b.push({name:M.name,type:M.type,locations:A})}else b.push({name:M.name,type:M.type,locations:[_.length]}),x.push(M.name),\"number\"==typeof M.location?_.push(0|M.location):_.push(-1)}for(var S=0,w=0;w<_.length;++w)if(_[w]<0){for(;_.indexOf(S)>=0;)S+=1;_[w]=S}var E=new Array(r.length);a(),d._relink=a,d.types={uniforms:l(r),attributes:l(n)},d.attributes=s(p,d,b,_),Object.defineProperty(d,\"uniforms\",o(p,d,r,E))},e.exports=a},{\"./lib/GLError\":256,\"./lib/create-attributes\":257,\"./lib/create-uniforms\":258,\"./lib/reflect\":259,\"./lib/runtime-reflect\":260,\"./lib/shader-cache\":261}],256:[function(t,e,r){arguments[4][213][0].apply(r,arguments)},{dup:213}],257:[function(t,e,r){arguments[4][214][0].apply(r,arguments)},{\"./GLError\":256,dup:214}],258:[function(t,e,r){arguments[4][215][0].apply(r,arguments)},{\"./GLError\":256,\"./reflect\":259,dup:215}],259:[function(t,e,r){arguments[4][216][0].apply(r,arguments)},{dup:216}],260:[function(t,e,r){arguments[4][217][0].apply(r,arguments)},{dup:217}],261:[function(t,e,r){arguments[4][218][0].apply(r,arguments)},{\"./GLError\":256,dup:218,\"gl-format-compiler-error\":165,\"weakmap-shim\":562}],262:[function(t,e,r){\"use strict\";function n(t){this.plot=t,this.enable=[!0,!0,!1,!1],this.width=[1,1,1,1],this.color=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.center=[1/0,1/0]}function i(t,e){var r=new n(t);return r.update(e),t.addOverlay(r),r}e.exports=i;var a=n.prototype;a.update=function(t){t=t||{},this.enable=(t.enable||[!0,!0,!1,!1]).slice(),this.width=(t.width||[1,1,1,1]).slice(),this.color=(t.color||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]).map(function(t){return t.slice()}),this.center=(t.center||[1/0,1/0]).slice(),this.plot.setOverlayDirty()},a.draw=function(){var t=this.enable,e=this.width,r=this.color,n=this.center,i=this.plot,a=i.line,o=i.dataBox,s=i.viewBox;if(a.bind(),o[0]<=n[0]&&n[0]<=o[2]&&o[1]<=n[1]&&n[1]<=o[3]){var l=s[0]+(n[0]-o[0])/(o[2]-o[0])*(s[2]-s[0]),u=s[1]+(n[1]-o[1])/(o[3]-o[1])*(s[3]-s[1]);t[0]&&a.drawLine(l,u,s[0],u,e[0],r[0]),t[1]&&a.drawLine(l,u,l,s[1],e[1],r[1]),t[2]&&a.drawLine(l,u,s[2],u,e[2],r[2]),t[3]&&a.drawLine(l,u,l,s[3],e[3],r[3])}},a.dispose=function(){this.plot.removeOverlay(this)}},{}],263:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\");e.exports=function(t){return n(t,\"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\",\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  gl_FragColor = fragColor;\\n}\",null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec3\"},{name:\"weight\",type:\"float\"}])}},{\"gl-shader\":255}],264:[function(t,e,r){\"use strict\";function n(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}function i(t,e){function r(t,e,r,n,a,o){var s=[t,e,r,0,0,0,1];s[n+3]=1,s[n]=a,i.push.apply(i,s),s[6]=-1,i.push.apply(i,s),s[n]=o,i.push.apply(i,s),i.push.apply(i,s),s[6]=1,i.push.apply(i,s),s[n]=a,i.push.apply(i,s)}var i=[];r(0,0,0,0,0,1),r(0,0,0,1,0,1),r(0,0,0,2,0,1),r(1,0,0,1,-1,1),r(1,0,0,2,-1,1),r(0,1,0,0,-1,1),r(0,1,0,2,-1,1),r(0,0,1,0,-1,1),r(0,0,1,1,-1,1);var l=a(t,i),u=o(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=s(t);c.attributes.position.location=0,c.attributes.color.location=1,c.attributes.weight.location=2;var h=new n(t,l,u,c);return h.update(e),h}var a=t(\"gl-buffer\"),o=t(\"gl-vao\"),s=t(\"./shaders/index\");e.exports=i;var l=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],u=n.prototype,c=[0,0,0],h=[0,0,0],f=[0,0];u.isTransparent=function(){return!1},u.drawTransparent=function(t){},u.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var i,a=t.model||l,o=t.view||l,s=t.projection||l;this.axes&&(i=this.axes.lastCubeProps.axis);for(var u=c,d=h,p=0;p<3;++p)i&&i[p]<0?(u[p]=this.bounds[0][p],d[p]=this.bounds[1][p]):(u[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=o,n.uniforms.projection=s,n.uniforms.coordinates=[this.position,u,d],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(var p=0;p<3;++p)n.uniforms.lineWidth=this.lineWidth[p]*this.pixelRatio,this.enabled[p]&&(r.draw(e.TRIANGLES,6,6*p),this.drawSides[p]&&r.draw(e.TRIANGLES,12,18+12*p));r.unbind()},u.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},u.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":263,\"gl-buffer\":156,\"gl-vao\":271}],265:[function(t,e,r){var n=t(\"gl-shader\"),i=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\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  worldCoordinate = vec3(uv.zw, f.x);\\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\",a=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution_2_0(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\\n\\n\\nfloat beckmannSpecular_1_1(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution_2_0(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\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 > 0.0 ||\\n    any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\\n    discard;\\n  }\\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_1_1(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 = step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) + 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\",o=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\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  vec4 worldPosition = model * vec4(dataCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z = clipPosition.z + zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f;\\n  kill = -1.0;\\n  worldCoordinate = dataCoordinate;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don'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\",s=\"precision mediump float;\\n#define GLSLIFY 1\\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 > 0.0 ||\\n    any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\\n    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\";r.createShader=function(t){var e=n(t,i,a,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);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,i,s,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);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,o,a,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,o,s,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":255}],266:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}function i(t){var e=x([y({colormap:t,nshades:R,format:\"rgba\"}).map(function(t){return[t[0],t[1],t[2],255*t[3]]})]);return b.divseq(e,255),e}function a(t,e,r,i,a,o,s,l,u,c,h,f,d,p){this.gl=t,this.shape=e,this.bounds=r,this.intensityBounds=[],this._shader=i,this._pickShader=a,this._coordinateBuffer=o,this._vao=s,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=f,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new n([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=p,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=[_(g.mallocFloat(1024),[0,0]),_(g.mallocFloat(1024),[0,0]),_(g.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.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}function o(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||j,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=N.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],M(l,t.model,l);var u=N.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return N.showSurface=o,N.showContour=s,N}function s(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=B;n.model=t.model||D,n.view=t.view||D,n.projection=t.projection||D,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.contourColor=this.contourColor[0],n.inverseModel=k(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],s=0;s<3;++s)a[s]=Math.min(Math.max(this.clipBounds[i][s],-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=V,n.vertexColor=this.vertexColor;var l=U;for(M(l,n.view,n.model),M(l,n.projection,l),k(l,l),i=0;i<3;++i)n.eyePosition[i]=l[12+i]/l[15];var u=l[15];for(i=0;i<3;++i)u+=this.lightPosition[i]*l[4*i+3];for(i=0;i<3;++i){var c=l[12+i];for(s=0;s<3;++s)c+=l[4*s+i]*this.lightPosition[s];n.lightPosition[i]=c/u}var h=o(n,this);if(h.showSurface&&e===this.opacity<1){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=h.projections[i],this._shader.uniforms.clipBounds=h.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(h.showContour&&!e){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var d=this._contourVAO;for(d.bind(),i=0;i<3;++i)for(f.uniforms.permutation=O[i],r.lineWidth(this.contourWidth[i]),s=0;s<this.contourLevels[i].length;++s)this._contourCounts[i][s]&&(s===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==s&&s-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),f.uniforms.height=this.contourLevels[i][s],d.draw(r.LINES,this._contourCounts[i][s],this._contourOffsets[i][s]));for(i=0;i<3;++i)for(f.uniforms.model=h.projections[i],f.uniforms.clipBounds=h.clipBounds[i],s=0;s<3;++s)if(this.contourProject[i][s]){f.uniforms.permutation=O[s],r.lineWidth(this.contourWidth[s]);for(var p=0;p<this.contourLevels[s].length;++p)p===this.highlightLevel[s]?(f.uniforms.contourColor=this.highlightColor[s],f.uniforms.contourTint=this.highlightTint[s]):0!==p&&p-1!==this.highlightLevel[s]||(f.uniforms.contourColor=this.contourColor[s],f.uniforms.contourTint=this.contourTint[s]),f.uniforms.height=this.contourLevels[s][p],d.draw(r.LINES,this._contourCounts[s][p],this._contourOffsets[s][p])}for(d=this._dynamicVAO,d.bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=O[i],r.lineWidth(this.dynamicWidth[i]),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),s=0;s<3;++s)this.contourProject[s][i]&&(f.uniforms.model=h.projections[s],f.uniforms.clipBounds=h.clipBounds[s],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));d.unbind()}}function l(t,e){var r=e.shape.slice(),n=t.shape.slice();b.assign(t.lo(1,1).hi(r[0],r[1]),e),b.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),b.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),b.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),b.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))}function u(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function c(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 h(t){if(Array.isArray(t)){if(Array.isArray(t))return[c(t[0]),c(t[1]),c(t[2])];var e=c(t);return[e.slice(),e.slice(),e.slice()]}}function f(t){var e=t.gl,r=E(e),n=C(e),i=L(e),o=I(e),s=p(e),l=m(e,[{buffer:s,size:4,stride:z,offset:0},{buffer:s,size:3,stride:z,offset:16},{buffer:s,size:3,stride:z,offset:28}]),u=p(e),c=m(e,[{buffer:u,size:4,stride:20,offset:0},{buffer:u,size:1,stride:20,offset:16}]),h=p(e),f=m(e,[{buffer:h,size:2,type:e.FLOAT}]),d=v(e,1,R,e.RGBA,e.UNSIGNED_BYTE);d.minFilter=e.LINEAR,d.magFilter=e.LINEAR;var g=new a(e,[0,0],[[0,0,0],[0,0,0]],r,n,s,l,d,i,o,u,c,h,f),y={levels:[[],[],[]]};for(var b in t)y[b]=t[b];return y.colormap=y.colormap||\"jet\",g.update(y),g}e.exports=f\n",
       ";var d=t(\"bit-twiddle\"),p=t(\"gl-buffer\"),m=t(\"gl-vao\"),v=t(\"gl-texture2d\"),g=t(\"typedarray-pool\"),y=t(\"colormap\"),b=t(\"ndarray-ops\"),x=t(\"ndarray-pack\"),_=t(\"ndarray\"),w=t(\"surface-nets\"),M=t(\"gl-mat4/multiply\"),k=t(\"gl-mat4/invert\"),A=t(\"binary-search-bounds\"),T=t(\"ndarray-gradient\"),S=t(\"./lib/shaders\"),E=S.createShader,L=S.createContourShader,C=S.createPickShader,I=S.createPickContourShader,z=40,D=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],P=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],O=[[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(){for(var t=0;t<3;++t){var e=O[t],r=(t+1)%3,n=(t+2)%3;e[r+0]=1,e[n+3]=1,e[t+6]=1}}();var R=256,F=a.prototype;F.isTransparent=function(){return this.opacity<1},F.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this._contourCounts[t].length>0||this._dynamicCounts[t]>0)return!0;return!1},F.pickSlots=1,F.setPickBase=function(t){this.pickId=t};var j=[0,0,0],N={showSurface:!1,showContour:!1,projections:[D.slice(),D.slice(),D.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]},B={model:D,view:D,projection:D,inverseModel:D.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,kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},U=D.slice(),V=[1,0,0,0,1,0,0,0,1];F.draw=function(t){return s.call(this,t,!1)},F.drawTransparent=function(t){return s.call(this,t,!0)};var H={model:D,view:D,projection:D,inverseModel:D,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};F.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=H;r.model=t.model||D,r.view=t.view||D,r.projection=t.projection||D,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.permutation=V;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var s=o(r,this);if(s.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=s.projections[n],this._pickShader.uniforms.clipBounds=s.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(s.showContour){var l=this._contourPickShader;l.bind(),l.uniforms=r;var u=this._contourVAO;for(u.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]),l.uniforms.permutation=O[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(l.uniforms.height=this.contourLevels[a][n],u.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(l.uniforms.model=s.projections[n],l.uniforms.clipBounds=s.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){l.uniforms.permutation=O[a],e.lineWidth(this.contourWidth[a]);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(l.uniforms.height=this.contourLevels[a][c],u.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}u.unbind()}},F.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]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&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<2;++c)for(var h=c?a:1-a,f=0;f<2;++f)for(var d=f?l:1-l,p=i+c,m=s+f,v=h*d,g=0;g<3;++g)u[g]+=this._field[g].get(p,m)*v;for(var y=this._pickResult.level,b=0;b<3;++b)if(y[b]=A.le(this.contourLevels[b],u[b]),y[b]<0)this.contourLevels[b].length>0&&(y[b]=0);else if(y[b]<this.contourLevels[b].length-1){var x=this.contourLevels[b][y[b]],_=this.contourLevels[b][y[b]+1];Math.abs(x-u[b])>Math.abs(_-u[b])&&(y[b]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],g=0;g<3;++g)r.dataCoordinate[g]=this._field[g].get(r.index[0],r.index[1]);return r},F.update=function(t){t=t||{},this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=u(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=u(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=u(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=h(t.contourColor)),\"contourProject\"in t&&(this.contourProject=u(t.contourProject,function(t){return u(t,Boolean)})),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=h(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=u(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=u(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0);var e=t.field||t.coords&&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)),\"field\"in t||\"coords\"in t){var n=(e.shape[0]+2)*(e.shape[1]+2);n>this._field[2].data.length&&(g.freeFloat(this._field[2].data),this._field[2].data=g.mallocFloat(d.nextPow2(n))),this._field[2]=_(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),l(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(g.freeFloat(this._field[o].data),this._field[o].data=g.mallocFloat(this._field[2].size)),this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var s=t.coords;if(!Array.isArray(s)||3!==s.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=s[o];for(y=0;y<2;++y)if(c.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");l(this._field[o],c)}}else if(t.ticks){var f=t.ticks;if(!Array.isArray(f)||2!==f.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=f[o];if((Array.isArray(p)||p.length)&&(p=_(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var m=_(p.data,a);m.stride[o]=p.stride[0],m.stride[1^o]=0,l(this._field[o],m)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var b=this._field,x=_(g.mallocFloat(3*b[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)T(x.pick(o),b[o],\"mirror\");var M=_(g.mallocFloat(3*b[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var k=x.get(0,o,y,0),A=x.get(0,o,y,1),S=x.get(1,o,y,0),E=x.get(1,o,y,1),L=x.get(2,o,y,0),C=x.get(2,o,y,1),I=S*C-E*L,z=L*A-C*k,D=k*E-A*S,O=Math.sqrt(I*I+z*z+D*D);O<1e-8?(O=Math.max(Math.abs(I),Math.abs(z),Math.abs(D)),O<1e-8?(D=1,z=I=0,O=1):O=1/O):O=1/Math.sqrt(O),M.set(o,y,0,I*O),M.set(o,y,1,z*O),M.set(o,y,2,D*O)}g.free(x.data);var R=[1/0,1/0,1/0],F=[-1/0,-1/0,-1/0],j=1/0,N=-1/0,B=(a[0]-1)*(a[1]-1)*6,U=g.mallocFloat(d.nextPow2(10*B)),V=0,H=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var q=0;q<2;++q)for(var G=0;G<2;++G)for(var Y=0;Y<3;++Y){var W=this._field[Y].get(1+o+q,1+y+G);if(isNaN(W)||!isFinite(W))continue t}for(Y=0;Y<6;++Y){var X=o+P[Y][0],Z=y+P[Y][1],J=this._field[0].get(X+1,Z+1),K=this._field[1].get(X+1,Z+1);W=this._field[2].get(X+1,Z+1);var Q=W;I=M.get(X+1,Z+1,0),z=M.get(X+1,Z+1,1),D=M.get(X+1,Z+1,2),t.intensity&&(Q=t.intensity.get(X,Z)),U[V++]=X,U[V++]=Z,U[V++]=J,U[V++]=K,U[V++]=W,U[V++]=0,U[V++]=Q,U[V++]=I,U[V++]=z,U[V++]=D,R[0]=Math.min(R[0],J),R[1]=Math.min(R[1],K),R[2]=Math.min(R[2],W),j=Math.min(j,Q),F[0]=Math.max(F[0],J),F[1]=Math.max(F[1],K),F[2]=Math.max(F[2],W),N=Math.max(N,Q),H+=1}}for(t.intensityBounds&&(j=+t.intensityBounds[0],N=+t.intensityBounds[1]),o=6;o<V;o+=10)U[o]=(U[o]-j)/(N-j);this._vertexCount=H,this._coordinateBuffer.update(U.subarray(0,V)),g.freeFloat(U),g.free(M.data),this.bounds=[R,F],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===j&&this.intensityBounds[1]===N||(r=!0),this.intensityBounds=[j,N]}if(\"levels\"in t){var $=t.levels;for($=Array.isArray($[0])?$.slice():[[],[],$],o=0;o<3;++o)$[o]=$[o].slice(),$.sort(function(t,e){return t-e});t:for(o=0;o<3;++o){if($[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<$[o].length;++y)if($[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=$}if(r){b=this._field,a=this.shape;for(var tt=[],et=0;et<3;++et){$=this.contourLevels[et];var rt=[],nt=[],it=[0,0,0];for(o=0;o<$.length;++o){var at=w(this._field[et],$[o]);rt.push(tt.length/5|0),H=0;t:for(y=0;y<at.cells.length;++y){var ot=at.cells[y];for(Y=0;Y<2;++Y){var st=at.positions[ot[Y]],lt=st[0],ut=0|Math.floor(lt),ct=lt-ut,ht=st[1],ft=0|Math.floor(ht),dt=ht-ft,pt=!1;e:for(var mt=0;mt<3;++mt){it[mt]=0;var vt=(et+mt+1)%3;for(q=0;q<2;++q){var gt=q?ct:1-ct;for(X=0|Math.min(Math.max(ut+q,0),a[0]),G=0;G<2;++G){var yt=G?dt:1-dt;if(Z=0|Math.min(Math.max(ft+G,0),a[1]),W=mt<2?this._field[vt].get(X,Z):(this.intensity.get(X,Z)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(W)||isNaN(W)){pt=!0;break e}var bt=gt*yt;it[mt]+=bt*W}}}if(pt){if(Y>0){for(var xt=0;xt<5;++xt)tt.pop();H-=1}continue t}tt.push(it[0],it[1],st[0],st[1],it[2]),H+=1}}nt.push(H)}this._contourOffsets[et]=rt,this._contourCounts[et]=nt}var _t=g.mallocFloat(tt.length);for(o=0;o<tt.length;++o)_t[o]=tt[o];this._contourBuffer.update(_t),g.freeFloat(_t)}t.colormap&&this._colorMap.setPixels(i(t.colormap))},F.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<3;++t)g.freeFloat(this._field[t].data)},F.highlight=function(t){if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(var e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;var r;if(r=this.snapToData?t.dataCoordinate:t.position,this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=g.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var s=(o+1)%3,l=(o+2)%3,u=this._field[o],c=this._field[s],h=this._field[l],f=(this.intensity,w(u,r[o])),d=f.cells,p=f.positions;for(this._dynamicOffsets[o]=n,e=0;e<d.length;++e)for(var m=d[e],v=0;v<2;++v){var y=p[m[v]],b=+y[0],x=0|b,_=0|Math.min(x+1,i[0]),M=b-x,k=1-M,A=+y[1],T=0|A,S=0|Math.min(T+1,i[1]),E=A-T,L=1-E,C=k*L,I=k*E,z=M*L,D=M*E,P=C*c.get(x,T)+I*c.get(x,S)+z*c.get(_,T)+D*c.get(_,S),O=C*h.get(x,T)+I*h.get(x,S)+z*h.get(_,T)+D*h.get(_,S);if(isNaN(P)||isNaN(O)){v&&(n-=1);break}a[2*n+0]=P,a[2*n+1]=O,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)),g.freeFloat(a)}}},{\"./lib/shaders\":265,\"binary-search-bounds\":66,\"bit-twiddle\":67,colormap:99,\"gl-buffer\":156,\"gl-mat4/invert\":181,\"gl-mat4/multiply\":183,\"gl-texture2d\":267,\"gl-vao\":271,ndarray:467,\"ndarray-gradient\":458,\"ndarray-ops\":461,\"ndarray-pack\":462,\"surface-nets\":531,\"typedarray-pool\":541}],267:[function(t,e,r){\"use strict\";function n(t){g=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],y=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],b=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function i(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}function a(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");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 o(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}function s(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function l(t,e,r,n,i,a,o,l){var u=l.dtype,c=l.shape.slice();if(c.length<2||c.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var h=0,f=0,d=s(c,l.stride.slice());\"float32\"===u?h=t.FLOAT:\"float64\"===u?(h=t.FLOAT,d=!1,u=\"float32\"):\"uint8\"===u?h=t.UNSIGNED_BYTE:(h=t.UNSIGNED_BYTE,d=!1,u=\"uint8\");if(2===c.length)f=t.LUMINANCE,c=[c[0],c[1],1],l=p(l.data,c,[l.stride[0],l.stride[1],1],l.offset);else{if(3!==c.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===c[2])f=t.ALPHA;else if(2===c[2])f=t.LUMINANCE_ALPHA;else if(3===c[2])f=t.RGB;else{if(4!==c[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");f=t.RGBA}c[2]}if(f!==t.LUMINANCE&&f!==t.ALPHA||i!==t.LUMINANCE&&i!==t.ALPHA||(f=i),f!==i)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var g=l.size,y=o.indexOf(n)<0;if(y&&o.push(n),h===a&&d)0===l.offset&&l.data.length===g?y?t.texImage2D(t.TEXTURE_2D,n,i,c[0],c[1],0,i,a,l.data):t.texSubImage2D(t.TEXTURE_2D,n,e,r,c[0],c[1],i,a,l.data):y?t.texImage2D(t.TEXTURE_2D,n,i,c[0],c[1],0,i,a,l.data.subarray(l.offset,l.offset+g)):t.texSubImage2D(t.TEXTURE_2D,n,e,r,c[0],c[1],i,a,l.data.subarray(l.offset,l.offset+g));else{var b;b=a===t.FLOAT?v.mallocFloat32(g):v.mallocUint8(g);var _=p(b,c,[c[2],c[2]*c[0],1]);h===t.FLOAT&&a===t.UNSIGNED_BYTE?x(_,l):m.assign(_,l),y?t.texImage2D(t.TEXTURE_2D,n,i,c[0],c[1],0,i,a,b.subarray(0,g)):t.texSubImage2D(t.TEXTURE_2D,n,e,r,c[0],c[1],i,a,b.subarray(0,g)),a===t.FLOAT?v.freeFloat32(b):v.freeUint8(b)}}function u(t){var e=t.createTexture();return 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n=t(\"./literals\");e.exports=n.slice().concat([\"layout\",\"centroid\",\"smooth\",\"case\",\"mat2x2\",\"mat2x3\",\"mat2x4\",\"mat3x2\",\"mat3x3\",\"mat3x4\",\"mat4x2\",\"mat4x3\",\"mat4x4\",\"uint\",\"uvec2\",\"uvec3\",\"uvec4\",\"samplerCubeShadow\",\"sampler2DArray\",\"sampler2DArrayShadow\",\"isampler2D\",\"isampler3D\",\"isamplerCube\",\"isampler2DArray\",\"usampler2D\",\"usampler3D\",\"usamplerCube\",\"usampler2DArray\",\"coherent\",\"restrict\",\"readonly\",\"writeonly\",\"resource\",\"atomic_uint\",\"noperspective\",\"patch\",\"sample\",\"subroutine\",\"common\",\"partition\",\"active\",\"filter\",\"image1D\",\"image2D\",\"image3D\",\"imageCube\",\"iimage1D\",\"iimage2D\",\"iimage3D\",\"iimageCube\",\"uimage1D\",\"uimage2D\",\"uimage3D\",\"uimageCube\",\"image1DArray\",\"image2DArray\",\"iimage1DArray\",\"iimage2DArray\",\"uimage1DArray\",\"uimage2DArray\",\"image1DShadow\",\"image2DShadow\",\"image1DArrayShadow\",\"image2DArrayShadow\",\"imageBuffer\",\"iimageBuffer\",\"uimageBuffer\",\"sampler1DArray\",\"sampler1DArrayShadow\",\"isampler1D\",\"isampler1DArray\",\"usampler1D\",\"usampler1DArray\",\"isampler2DRect\",\"usampler2DRect\",\"samplerBuffer\",\"isamplerBuffer\",\"usamplerBuffer\",\"sampler2DMS\",\"isampler2DMS\",\"usampler2DMS\",\"sampler2DMSArray\",\"isampler2DMSArray\",\"usampler2DMSArray\"])},{\"./literals\":284}],284:[function(t,e,r){e.exports=[\"precision\",\"highp\",\"mediump\",\"lowp\",\"attribute\",\"const\",\"uniform\",\"varying\",\"break\",\"continue\",\"do\",\"for\",\"while\",\"if\",\"else\",\"in\",\"out\",\"inout\",\"float\",\"int\",\"void\",\"bool\",\"true\",\"false\",\"discard\",\"return\",\"mat2\",\"mat3\",\"mat4\",\"vec2\",\"vec3\",\"vec4\",\"ivec2\",\"ivec3\",\"ivec4\",\"bvec2\",\"bvec3\",\"bvec4\",\"sampler1D\",\"sampler2D\",\"sampler3D\",\"samplerCube\",\"sampler1DShadow\",\"sampler2DShadow\",\"struct\",\"asm\",\"class\",\"union\",\"enum\",\"typedef\",\"template\",\"this\",\"packed\",\"goto\",\"switch\",\"default\",\"inline\",\"noinline\",\"volatile\",\"public\",\"static\",\"extern\",\"external\",\"interface\",\"long\",\"short\",\"double\",\"half\",\"fixed\",\"unsigned\",\"input\",\"output\",\"hvec2\",\"hvec3\",\"hvec4\",\"dvec2\",\"dvec3\",\"dvec4\",\"fvec2\",\"fvec3\",\"fvec4\",\"sampler2DRect\",\"sampler3DRect\",\"sampler2DRectShadow\",\"sizeof\",\"cast\",\"namespace\",\"using\"]},{}],285:[function(t,e,r){e.exports=[\"<<=\",\">>=\",\"++\",\"--\",\"<<\",\">>\",\"<=\",\">=\",\"==\",\"!=\",\"&&\",\"||\",\"+=\",\"-=\",\"*=\",\"/=\",\"%=\",\"&=\",\"^^\",\"^=\",\"|=\",\"(\",\")\",\"[\",\"]\",\".\",\"!\",\"~\",\"*\",\"/\",\"%\",\"+\",\"-\",\"<\",\">\",\"&\",\"^\",\"|\",\"?\",\":\",\"=\",\",\",\";\",\"{\",\"}\"]},{}],286:[function(t,e,r){function n(t,e){var r=i(e),n=[];return n=n.concat(r(t)),n=n.concat(r(null))}var i=t(\"./index\");e.exports=n},{\"./index\":280}],287:[function(t,e,r){\"use strict\";function n(t,e,r){var n=this.cells=[];if(t instanceof ArrayBuffer){this.arrayBuffer=t;var a=new Int32Array(this.arrayBuffer);t=a[0],e=a[1],r=a[2],this.d=e+2*r;for(var o=0;o<this.d*this.d;o++){var s=a[i+o],l=a[i+o+1];n.push(s===l?null:a.subarray(s,l))}var u=a[i+n.length],c=a[i+n.length+1];this.keys=a.subarray(u,c),this.bboxes=a.subarray(c),this.insert=this._insertReadonly}else{this.d=e+2*r;for(var h=0;h<this.d*this.d;h++)n.push([]);this.keys=[],this.bboxes=[]}this.n=e,this.extent=t,this.padding=r,this.scale=e/t,this.uid=0;var f=r/e*t;this.min=-f,this.max=t+f}e.exports=n;var i=3;n.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertCell,this.uid++),this.keys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},n.prototype._insertReadonly=function(){throw\"Cannot insert into a 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Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},n.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=i+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var a=new Int32Array(e+r+this.keys.length+this.bboxes.length);a[0]=this.extent,a[1]=this.n,a[2]=this.padding;for(var o=e,s=0;s<t.length;s++){var l=t[s];a[i+s]=o,a.set(l,o),o+=l.length}return a[i+t.length]=o,a.set(this.keys,o),o+=this.keys.length,a[i+t.length+1]=o,a.set(this.bboxes,o),o+=this.bboxes.length,a.buffer}},{}],288:[function(t,e,r){(function(r){\"use strict\";var n,i=t(\"is-browser\");n=\"function\"==typeof r.matchMedia?!r.matchMedia(\"(hover: none)\").matches:i,e.exports=n}).call(this,\"undefined\"!=typeof global?global:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{\"is-browser\":294}],289:[function(t,e,r){r.read=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,u=l>>1,c=-7,h=r?i-1:0,f=r?-1:1,d=t[e+h];for(h+=f,a=d&(1<<-c)-1,d>>=-c,c+=s;c>0;a=256*a+t[e+h],h+=f,c-=8);for(o=a&(1<<-c)-1,a>>=-c,c+=n;c>0;o=256*o+t[e+h],h+=f,c-=8);if(0===a)a=1-u;else{if(a===l)return o?NaN:1/0*(d?-1:1);o+=Math.pow(2,n),a-=u}return(d?-1:1)*o*Math.pow(2,a-n)},r.write=function(t,e,r,n,i,a){var o,s,l,u=8*a-i-1,c=(1<<u)-1,h=c>>1,f=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,d=n?0:a-1,p=n?1:-1,m=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=c):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),e+=o+h>=1?f/l:f*Math.pow(2,1-h),e*l>=2&&(o++,l/=2),o+h>=c?(s=0,o=c):o+h>=1?(s=(e*l-1)*Math.pow(2,i),o+=h):(s=e*Math.pow(2,h-1)*Math.pow(2,i),o=0));i>=8;t[r+d]=255&s,d+=p,s/=256,i-=8);for(o=o<<i|s,u+=i;u>0;t[r+d]=255&o,d+=p,o/=256,u-=8);t[r+d-p]|=128*m}},{}],290:[function(t,e,r){\"use strict\";function n(t,e,r){this.vertices=t,this.adjacent=e,this.boundary=r,this.lastVisited=-1}function 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f=c[h];i[h]=f<0?e:a[f]}var d=this.orient();if(d>0)return u;u.lastVisited=-n,0===d&&o.push(u)}}}return null},f.walk=function(t,e){var r=this.vertices.length-1,n=this.dimension,i=this.vertices,a=this.tuple,o=e?this.interior.length*Math.random()|0:this.interior.length-1,s=this.interior[o];t:for(;!s.boundary;){for(var l=s.vertices,u=s.adjacent,c=0;c<=n;++c)a[c]=i[l[c]];s.lastVisited=r;for(var c=0;c<=n;++c){var h=u[c];if(!(h.lastVisited>=r)){var f=a[c];a[c]=t;var d=this.orient();if(a[c]=f,d<0){s=h;continue t}h.boundary?h.lastVisited=-r:h.lastVisited=r}}return}return s},f.addPeaks=function(t,e){var r=this.vertices.length-1,o=this.dimension,s=this.vertices,l=this.tuple,u=this.interior,c=this.simplices,h=[e];e.lastVisited=r,e.vertices[e.vertices.indexOf(-1)]=r,e.boundary=!1,u.push(e);for(var f=[];h.length>0;){var e=h.pop(),d=e.vertices,p=e.adjacent,m=d.indexOf(r);if(!(m<0))for(var v=0;v<=o;++v)if(v!==m){var g=p[v];if(g.boundary&&!(g.lastVisited>=r)){var y=g.vertices;if(g.lastVisited!==-r){for(var b=0,x=0;x<=o;++x)y[x]<0?(b=x,l[x]=t):l[x]=s[y[x]];var _=this.orient();if(_>0){y[b]=r,g.boundary=!1,u.push(g),h.push(g),g.lastVisited=r;continue}g.lastVisited=-r}var w=g.adjacent,M=d.slice(),k=p.slice(),A=new n(M,k,!0);c.push(A);var T=w.indexOf(e);if(!(T<0)){w[T]=A,k[m]=g,M[v]=-1,k[v]=e,p[v]=A,A.flip();for(var x=0;x<=o;++x){var S=M[x];if(!(S<0||S===r)){for(var E=new Array(o-1),L=0,C=0;C<=o;++C){var I=M[C];I<0||C===x||(E[L++]=I)}f.push(new i(E,A,x))}}}}}}f.sort(a);for(var v=0;v+1<f.length;v+=2){var z=f[v],D=f[v+1],P=z.index,O=D.index;P<0||O<0||(z.cell.adjacent[z.index]=D.cell,D.cell.adjacent[D.index]=z.cell)}},f.insert=function(t,e){var r=this.vertices;r.push(t);var n=this.walk(t,e);if(n){for(var i=this.dimension,a=this.tuple,o=0;o<=i;++o){var s=n.vertices[o];a[o]=s<0?t:r[s]}var l=this.orient(a);l<0||(0!==l||(n=this.handleBoundaryDegeneracy(n,t)))&&this.addPeaks(t,n)}},f.boundary=function(){for(var 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vec2 u_extrude_scale;\\nuniform float u_devicepixelratio;\\n\\nattribute vec2 a_pos;\\n\\n#pragma mapbox: define lowp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n\\nvarying vec2 v_extrude;\\nvarying lowp float v_antialiasblur;\\n\\nvoid main(void) {\\n    #pragma mapbox: initialize lowp vec4 color\\n    #pragma mapbox: initialize mediump float radius\\n    #pragma mapbox: initialize lowp float blur\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    // unencode the extrusion vector that we snuck into the a_pos vector\\n    v_extrude = vec2(mod(a_pos, 2.0) * 2.0 - 1.0);\\n\\n    vec2 extrude = v_extrude * radius * u_extrude_scale;\\n    // multiply a_pos by 0.5, since we had it * 2 in order to sneak\\n    // in extrusion data\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5), 0, 1);\\n\\n    if (u_scale_with_map) {\\n        gl_Position.xy += extrude;\\n    } else {\\n        gl_Position.xy += extrude * gl_Position.w;\\n    }\\n\\n    // This is a minimum blur distance that serves as a faux-antialiasing for\\n    // the circle. since blur is a ratio of the circle's size and the intent is\\n    // to keep the blur at roughly 1px, the two are inversely related.\\n    v_antialiasblur = 1.0 / u_devicepixelratio / radius;\\n}\\n\"},line:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform lowp vec4 u_color;\\nuniform lowp float u_opacity;\\nuniform float u_blur;\\n\\nvarying vec2 v_linewidth;\\nvarying vec2 v_normal;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_linewidth.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_linewidth.t) or when fading out\\n    // (v_linewidth.s)\\n    float blur = u_blur * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_linewidth.t - blur), v_linewidth.s - dist) / blur, 0.0, 1.0);\\n\\n    gl_FragColor = u_color * (alpha * u_opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\nattribute vec2 a_pos;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform mediump float u_linewidth;\\nuniform mediump float u_gapwidth;\\nuniform mediump float u_antialiasing;\\nuniform mediump float u_extra;\\nuniform mat2 u_antialiasingmatrix;\\nuniform mediump float u_offset;\\nuniform mediump float u_blur;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n\\n    // We store the texture normals in the most insignificant bit\\n    // transform y so that 0 => -1 and 1 => 1\\n    // In the texture normal, x is 0 if the normal points straight up/down and 1 if it's a round cap\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = mod(a_pos, 2.0);\\n    normal.y = sign(normal.y - 0.5);\\n    v_normal = normal;\\n\\n    float inset = u_gapwidth + (u_gapwidth > 0.0 ? u_antialiasing : 0.0);\\n    float outset = u_gapwidth + u_linewidth * (u_gapwidth > 0.0 ? 2.0 : 1.0) + u_antialiasing;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset = u_offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    // Remove the texture normal bit of the position before scaling it with the\\n    // model/view matrix.\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5) + (offset + dist) / u_ratio, 0.0, 1.0);\\n\\n    // position of y on the screen\\n    float y = gl_Position.y / gl_Position.w;\\n\\n    // how much features are squished in the y direction by the tilt\\n    float squish_scale = length(a_extrude) / length(u_antialiasingmatrix * a_extrude);\\n\\n    // how much features are squished in all directions by the perspectiveness\\n    float perspective_scale = 1.0 / (1.0 - min(y * u_extra, 0.9));\\n\\n    v_linewidth = vec2(outset, inset);\\n    v_gamma_scale = perspective_scale * squish_scale;\\n}\\n\"},linepattern:{\n",
       "fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_blur;\\n\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform float u_fade;\\nuniform float u_opacity;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying float v_linesofar;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_linewidth.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_linewidth.t) or when fading out\\n    // (v_linewidth.s)\\n    float blur = u_blur * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_linewidth.t - blur), v_linewidth.s - dist) / blur, 0.0, 1.0);\\n\\n    float x_a = mod(v_linesofar / u_pattern_size_a.x, 1.0);\\n    float x_b = mod(v_linesofar / u_pattern_size_b.x, 1.0);\\n    float y_a = 0.5 + (v_normal.y * v_linewidth.s / u_pattern_size_a.y);\\n    float y_b = 0.5 + (v_normal.y * v_linewidth.s / u_pattern_size_b.y);\\n    vec2 pos_a = mix(u_pattern_tl_a, u_pattern_br_a, vec2(x_a, y_a));\\n    vec2 pos_b = mix(u_pattern_tl_b, u_pattern_br_b, vec2(x_b, y_b));\\n\\n    vec4 color = mix(texture2D(u_image, pos_a), texture2D(u_image, pos_b), u_fade);\\n\\n    alpha *= u_opacity;\\n\\n    gl_FragColor = color * alpha;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\n// We scale the distance before adding it to the buffers so that we can store\\n// long distances for long segments. Use this value to unscale the distance.\\n#define LINE_DISTANCE_SCALE 2.0\\n\\nattribute vec2 a_pos;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform mediump float u_linewidth;\\nuniform mediump float u_gapwidth;\\nuniform mediump float u_antialiasing;\\nuniform mediump float u_extra;\\nuniform mat2 u_antialiasingmatrix;\\nuniform mediump float u_offset;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying float v_linesofar;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n    float a_linesofar = (floor(a_data.z / 4.0) + a_data.w * 64.0) * LINE_DISTANCE_SCALE;\\n\\n    // We store the texture normals in the most insignificant bit\\n    // transform y so that 0 => -1 and 1 => 1\\n    // In the texture normal, x is 0 if the normal points straight up/down and 1 if it's a round cap\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = mod(a_pos, 2.0);\\n    normal.y = sign(normal.y - 0.5);\\n    v_normal = normal;\\n\\n    float inset = u_gapwidth + (u_gapwidth > 0.0 ? u_antialiasing : 0.0);\\n    float outset = u_gapwidth + u_linewidth * (u_gapwidth > 0.0 ? 2.0 : 1.0) + u_antialiasing;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset = u_offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    // Remove the texture normal bit of the position before scaling it with the\\n    // model/view matrix.\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5) + (offset + dist) / u_ratio, 0.0, 1.0);\\n    v_linesofar = a_linesofar;\\n\\n    // position of y on the screen\\n    float y = gl_Position.y / gl_Position.w;\\n\\n    // how much features are squished in the y direction by the tilt\\n    float squish_scale = length(a_extrude) / length(u_antialiasingmatrix * a_extrude);\\n\\n    // how much features are squished in all directions by the perspectiveness\\n    float perspective_scale = 1.0 / (1.0 - min(y * u_extra, 0.9));\\n\\n    v_linewidth = vec2(outset, inset);\\n    v_gamma_scale = perspective_scale * squish_scale;\\n}\\n\"},linesdfpattern:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform lowp vec4 u_color;\\nuniform lowp float u_opacity;\\n\\nuniform float u_blur;\\nuniform sampler2D u_image;\\nuniform float u_sdfgamma;\\nuniform float u_mix;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying vec2 v_tex_a;\\nvarying vec2 v_tex_b;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_linewidth.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_linewidth.t) or when fading out\\n    // (v_linewidth.s)\\n    float blur = u_blur * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_linewidth.t - blur), v_linewidth.s - dist) / blur, 0.0, 1.0);\\n\\n    float sdfdist_a = texture2D(u_image, v_tex_a).a;\\n    float sdfdist_b = texture2D(u_image, v_tex_b).a;\\n    float sdfdist = mix(sdfdist_a, sdfdist_b, u_mix);\\n    alpha *= smoothstep(0.5 - u_sdfgamma, 0.5 + u_sdfgamma, sdfdist);\\n\\n    gl_FragColor = u_color * (alpha * u_opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\n// We scale the distance before adding it to the buffers so that we can store\\n// long distances for long segments. Use this value to unscale the distance.\\n#define LINE_DISTANCE_SCALE 2.0\\n\\nattribute vec2 a_pos;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform mediump float u_linewidth;\\nuniform mediump float u_gapwidth;\\nuniform mediump float u_antialiasing;\\nuniform vec2 u_patternscale_a;\\nuniform float u_tex_y_a;\\nuniform vec2 u_patternscale_b;\\nuniform float u_tex_y_b;\\nuniform float u_extra;\\nuniform mat2 u_antialiasingmatrix;\\nuniform mediump float u_offset;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying vec2 v_tex_a;\\nvarying vec2 v_tex_b;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n    float a_linesofar = (floor(a_data.z / 4.0) + a_data.w * 64.0) * LINE_DISTANCE_SCALE;\\n\\n    // We store the texture normals in the most insignificant bit\\n    // transform y so that 0 => -1 and 1 => 1\\n    // In the texture normal, x is 0 if the normal points straight up/down and 1 if it's a round cap\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = mod(a_pos, 2.0);\\n    normal.y = sign(normal.y - 0.5);\\n    v_normal = normal;\\n\\n    float inset = u_gapwidth + (u_gapwidth > 0.0 ? u_antialiasing : 0.0);\\n    float outset = u_gapwidth + u_linewidth * (u_gapwidth > 0.0 ? 2.0 : 1.0) + u_antialiasing;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset = u_offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    // Remove the texture normal bit of the position before scaling it with the\\n    // model/view matrix.\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5) + (offset + dist) / u_ratio, 0.0, 1.0);\\n\\n    v_tex_a = vec2(a_linesofar * u_patternscale_a.x, normal.y * u_patternscale_a.y + u_tex_y_a);\\n    v_tex_b = vec2(a_linesofar * u_patternscale_b.x, normal.y * u_patternscale_b.y + u_tex_y_b);\\n\\n    // position of y on the screen\\n    float y = gl_Position.y / gl_Position.w;\\n\\n    // how much features are squished in the y direction by the tilt\\n    float squish_scale = length(a_extrude) / length(u_antialiasingmatrix * a_extrude);\\n\\n    // how much features are squished in all directions by the perspectiveness\\n    float perspective_scale = 1.0 / (1.0 - min(y * u_extra, 0.9));\\n\\n    v_linewidth = vec2(outset, inset);\\n    v_gamma_scale = perspective_scale * squish_scale;\\n}\\n\"},outline:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n#pragma mapbox: define lowp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\n\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp vec4 outline_color\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    float dist = length(v_pos - gl_FragCoord.xy);\\n    float alpha = smoothstep(1.0, 0.0, dist);\\n    gl_FragColor = outline_color * (alpha * opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nattribute vec2 a_pos;\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_world;\\n\\nvarying vec2 v_pos;\\n\\n#pragma mapbox: define lowp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp vec4 outline_color\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    v_pos = (gl_Position.xy / gl_Position.w + 1.0) / 2.0 * u_world;\\n}\\n\"},outlinepattern:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_opacity;\\nuniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform float u_mix;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    vec2 imagecoord = mod(v_pos_a, 1.0);\\n    vec2 pos = mix(u_pattern_tl_a, u_pattern_br_a, imagecoord);\\n    vec4 color1 = texture2D(u_image, pos);\\n\\n    vec2 imagecoord_b = mod(v_pos_b, 1.0);\\n    vec2 pos2 = mix(u_pattern_tl_b, u_pattern_br_b, imagecoord_b);\\n    vec4 color2 = texture2D(u_image, pos2);\\n\\n    // find distance to outline for alpha interpolation\\n\\n    float dist = length(v_pos - gl_FragCoord.xy);\\n    float alpha = smoothstep(1.0, 0.0, dist);\\n    \\n\\n    gl_FragColor = mix(color1, color2, u_mix) * alpha * u_opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pixel_coord_upper;\\nuniform vec2 u_pixel_coord_lower;\\nuniform float u_scale_a;\\nuniform float u_scale_b;\\nuniform float u_tile_units_to_pixels;\\n\\nattribute vec2 a_pos;\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_world;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    vec2 scaled_size_a = u_scale_a * u_pattern_size_a;\\n    vec2 scaled_size_b = u_scale_b * u_pattern_size_b;\\n\\n    // the correct offset needs to be calculated.\\n    //\\n    // The offset depends on how many pixels are between the world origin and\\n    // the edge of the tile:\\n    // vec2 offset = mod(pixel_coord, size)\\n    //\\n    // At high zoom levels there are a ton of pixels between the world origin\\n    // and the edge of the tile. The glsl spec only guarantees 16 bits of\\n    // precision for highp floats. We need more than that.\\n    //\\n    // The pixel_coord is passed in as two 16 bit values:\\n    // pixel_coord_upper = floor(pixel_coord / 2^16)\\n    // pixel_coord_lower = mod(pixel_coord, 2^16)\\n    //\\n    // The offset is calculated in a series of steps that should preserve this precision:\\n    vec2 offset_a = mod(mod(mod(u_pixel_coord_upper, scaled_size_a) * 256.0, scaled_size_a) * 256.0 + u_pixel_coord_lower, scaled_size_a);\\n    vec2 offset_b = mod(mod(mod(u_pixel_coord_upper, scaled_size_b) * 256.0, scaled_size_b) * 256.0 + u_pixel_coord_lower, scaled_size_b);\\n\\n    v_pos_a = (u_tile_units_to_pixels * a_pos + offset_a) / scaled_size_a;\\n    v_pos_b = (u_tile_units_to_pixels * a_pos + offset_b) / scaled_size_b;\\n\\n    v_pos = (gl_Position.xy / gl_Position.w + 1.0) / 2.0 * u_world;\\n}\\n\"},pattern:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_opacity;\\nuniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform float u_mix;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\n\\nvoid main() {\\n\\n    vec2 imagecoord = mod(v_pos_a, 1.0);\\n    vec2 pos = mix(u_pattern_tl_a, u_pattern_br_a, imagecoord);\\n    vec4 color1 = texture2D(u_image, pos);\\n\\n    vec2 imagecoord_b = mod(v_pos_b, 1.0);\\n    vec2 pos2 = mix(u_pattern_tl_b, u_pattern_br_b, imagecoord_b);\\n    vec4 color2 = texture2D(u_image, pos2);\\n\\n    gl_FragColor = mix(color1, color2, u_mix) * u_opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pixel_coord_upper;\\nuniform vec2 u_pixel_coord_lower;\\nuniform float u_scale_a;\\nuniform float u_scale_b;\\nuniform float u_tile_units_to_pixels;\\n\\nattribute vec2 a_pos;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    vec2 scaled_size_a = u_scale_a * u_pattern_size_a;\\n    vec2 scaled_size_b = u_scale_b * u_pattern_size_b;\\n\\n    // the correct offset needs to be calculated.\\n    //\\n    // The offset depends on how many pixels are between the world origin and\\n    // the edge of the tile:\\n    // vec2 offset = mod(pixel_coord, size)\\n    //\\n    // At high zoom levels there are a ton of pixels between the world origin\\n    // and the edge of the tile. The glsl spec only guarantees 16 bits of\\n    // precision for highp floats. We need more than that.\\n    //\\n    // The pixel_coord is passed in as two 16 bit values:\\n    // pixel_coord_upper = floor(pixel_coord / 2^16)\\n    // pixel_coord_lower = mod(pixel_coord, 2^16)\\n    //\\n    // The offset is calculated in a series of steps that should preserve this precision:\\n    vec2 offset_a = mod(mod(mod(u_pixel_coord_upper, scaled_size_a) * 256.0, scaled_size_a) * 256.0 + u_pixel_coord_lower, scaled_size_a);\\n    vec2 offset_b = mod(mod(mod(u_pixel_coord_upper, scaled_size_b) * 256.0, scaled_size_b) * 256.0 + u_pixel_coord_lower, scaled_size_b);\\n\\n    v_pos_a = (u_tile_units_to_pixels * a_pos + offset_a) / scaled_size_a;\\n    v_pos_b = (u_tile_units_to_pixels * a_pos + offset_b) / scaled_size_b;\\n}\\n\"},raster:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_opacity0;\\nuniform float u_opacity1;\\nuniform sampler2D u_image0;\\nuniform sampler2D u_image1;\\nvarying vec2 v_pos0;\\nvarying vec2 v_pos1;\\n\\nuniform float u_brightness_low;\\nuniform float u_brightness_high;\\n\\nuniform float u_saturation_factor;\\nuniform float u_contrast_factor;\\nuniform vec3 u_spin_weights;\\n\\nvoid main() {\\n\\n    // read and cross-fade colors from the main and parent tiles\\n    vec4 color0 = texture2D(u_image0, v_pos0);\\n    vec4 color1 = texture2D(u_image1, v_pos1);\\n    vec4 color = color0 * u_opacity0 + color1 * u_opacity1;\\n    vec3 rgb = color.rgb;\\n\\n    // spin\\n    rgb = vec3(\\n        dot(rgb, u_spin_weights.xyz),\\n        dot(rgb, u_spin_weights.zxy),\\n        dot(rgb, u_spin_weights.yzx));\\n\\n    // saturation\\n    float average = (color.r + color.g + color.b) / 3.0;\\n    rgb += (average - rgb) * u_saturation_factor;\\n\\n    // contrast\\n    rgb = (rgb - 0.5) * u_contrast_factor + 0.5;\\n\\n    // brightness\\n    vec3 u_high_vec = vec3(u_brightness_low, u_brightness_low, u_brightness_low);\\n    vec3 u_low_vec = vec3(u_brightness_high, u_brightness_high, u_brightness_high);\\n\\n    gl_FragColor = vec4(mix(u_high_vec, u_low_vec, rgb), color.a);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_tl_parent;\\nuniform float u_scale_parent;\\nuniform float u_buffer_scale;\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_texture_pos;\\n\\nvarying vec2 v_pos0;\\nvarying vec2 v_pos1;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    v_pos0 = (((a_texture_pos / 32767.0) - 0.5) / u_buffer_scale ) + 0.5;\\n    v_pos1 = (v_pos0 * u_scale_parent) + u_tl_parent;\\n}\\n\"},icon:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform sampler2D u_texture;\\nuniform sampler2D u_fadetexture;\\nuniform lowp float u_opacity;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\n\\nvoid main() {\\n    lowp float alpha = texture2D(u_fadetexture, v_fade_tex).a * u_opacity;\\n    gl_FragColor = texture2D(u_texture, v_tex) * alpha;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_offset;\\nattribute vec2 a_texture_pos;\\nattribute vec4 a_data;\\n\\n\\n// matrix is for the vertex position.\\nuniform mat4 u_matrix;\\n\\nuniform mediump float u_zoom;\\nuniform bool u_rotate_with_map;\\nuniform vec2 u_extrude_scale;\\n\\nuniform vec2 u_texsize;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\n\\nvoid main() {\\n    vec2 a_tex = a_texture_pos.xy;\\n    mediump float a_labelminzoom = a_data[0];\\n    mediump vec2 a_zoom = a_data.pq;\\n    mediump float a_minzoom = a_zoom[0];\\n    mediump float a_maxzoom = a_zoom[1];\\n\\n    // u_zoom is the current zoom level adjusted for the change in font size\\n    mediump float z = 2.0 - step(a_minzoom, u_zoom) - (1.0 - step(a_maxzoom, u_zoom));\\n\\n    vec2 extrude = u_extrude_scale * (a_offset / 64.0);\\n    if (u_rotate_with_map) {\\n        gl_Position = u_matrix * vec4(a_pos + extrude, 0, 1);\\n        gl_Position.z += z * gl_Position.w;\\n    } else {\\n        gl_Position = u_matrix * vec4(a_pos, 0, 1) + vec4(extrude, 0, 0);\\n    }\\n\\n    v_tex = a_tex / u_texsize;\\n    v_fade_tex = vec2(a_labelminzoom / 255.0, 0.0);\\n}\\n\"},sdf:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform sampler2D u_texture;\\nuniform sampler2D u_fadetexture;\\nuniform lowp vec4 u_color;\\nuniform lowp float u_opacity;\\nuniform lowp float u_buffer;\\nuniform lowp float u_gamma;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    lowp float dist = texture2D(u_texture, v_tex).a;\\n    lowp float fade_alpha = texture2D(u_fadetexture, v_fade_tex).a;\\n    lowp float gamma = u_gamma * v_gamma_scale;\\n    lowp float alpha = smoothstep(u_buffer - gamma, u_buffer + gamma, dist) * fade_alpha;\\n\\n    gl_FragColor = u_color * (alpha * u_opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nconst float PI = 3.141592653589793;\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_offset;\\nattribute vec2 a_texture_pos;\\nattribute vec4 a_data;\\n\\n\\n// matrix is for the vertex position.\\nuniform mat4 u_matrix;\\n\\nuniform mediump float u_zoom;\\nuniform bool u_rotate_with_map;\\nuniform bool u_pitch_with_map;\\nuniform mediump float u_pitch;\\nuniform mediump float u_bearing;\\nuniform mediump float u_aspect_ratio;\\nuniform vec2 u_extrude_scale;\\n\\nuniform vec2 u_texsize;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_tex = a_texture_pos.xy;\\n    mediump float a_labelminzoom = a_data[0];\\n    mediump vec2 a_zoom = a_data.pq;\\n    mediump float a_minzoom = a_zoom[0];\\n    mediump float a_maxzoom = a_zoom[1];\\n\\n    // u_zoom is the current zoom level adjusted for the change in font size\\n    mediump float z = 2.0 - step(a_minzoom, u_zoom) - (1.0 - step(a_maxzoom, u_zoom));\\n\\n    // pitch-alignment: map\\n    // rotation-alignment: map | viewport\\n    if (u_pitch_with_map) {\\n        lowp float angle = u_rotate_with_map ? (a_data[1] / 256.0 * 2.0 * PI) : u_bearing;\\n        lowp float asin = sin(angle);\\n        lowp float acos = cos(angle);\\n        mat2 RotationMatrix = mat2(acos, asin, -1.0 * asin, acos);\\n        vec2 offset = RotationMatrix * a_offset;\\n        vec2 extrude = u_extrude_scale * (offset / 64.0);\\n        gl_Position = u_matrix * vec4(a_pos + extrude, 0, 1);\\n        gl_Position.z += z * gl_Position.w;\\n    // pitch-alignment: viewport\\n    // rotation-alignment: map\\n    } else if (u_rotate_with_map) {\\n        // foreshortening factor to apply on pitched maps\\n        // as a label goes from horizontal <=> vertical in angle\\n        // it goes from 0% foreshortening to up to around 70% foreshortening\\n        lowp float pitchfactor = 1.0 - cos(u_pitch * sin(u_pitch * 0.75));\\n\\n        lowp float lineangle = a_data[1] / 256.0 * 2.0 * PI;\\n\\n        // use the lineangle to position points a,b along the line\\n        // project the points and calculate the label angle in projected space\\n        // this calculation allows labels to be rendered unskewed on pitched maps\\n        vec4 a = u_matrix * vec4(a_pos, 0, 1);\\n        vec4 b = u_matrix * vec4(a_pos + vec2(cos(lineangle),sin(lineangle)), 0, 1);\\n        lowp float angle = atan((b[1]/b[3] - a[1]/a[3])/u_aspect_ratio, b[0]/b[3] - a[0]/a[3]);\\n        lowp float asin = sin(angle);\\n        lowp float acos = cos(angle);\\n        mat2 RotationMatrix = mat2(acos, -1.0 * asin, asin, acos);\\n\\n        vec2 offset = RotationMatrix * (vec2((1.0-pitchfactor)+(pitchfactor*cos(angle*2.0)), 1.0) * a_offset);\\n        vec2 extrude = u_extrude_scale * (offset / 64.0);\\n        gl_Position = u_matrix * vec4(a_pos, 0, 1) + vec4(extrude, 0, 0);\\n        gl_Position.z += z * gl_Position.w;\\n    // pitch-alignment: viewport\\n    // rotation-alignment: viewport\\n    } else {\\n        vec2 extrude = u_extrude_scale * (a_offset / 64.0);\\n        gl_Position = u_matrix * vec4(a_pos, 0, 1) + vec4(extrude, 0, 0);\\n    }\\n\\n    v_gamma_scale = (gl_Position.w - 0.5);\\n\\n    v_tex = a_tex / u_texsize;\\n    v_fade_tex = vec2(a_labelminzoom / 255.0, 0.0);\\n}\\n\"},collisionbox:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_zoom;\\nuniform float u_maxzoom;\\n\\nvarying float v_max_zoom;\\nvarying float v_placement_zoom;\\n\\nvoid main() {\\n\\n    float alpha = 0.5;\\n\\n    gl_FragColor = vec4(0.0, 1.0, 0.0, 1.0) * alpha;\\n\\n    if (v_placement_zoom > u_zoom) {\\n        gl_FragColor = vec4(1.0, 0.0, 0.0, 1.0) * alpha;\\n    }\\n\\n    if (u_zoom >= v_max_zoom) {\\n        gl_FragColor = vec4(0.0, 0.0, 0.0, 1.0) * alpha * 0.25;\\n    }\\n\\n    if (v_placement_zoom >= u_maxzoom) {\\n        gl_FragColor = vec4(0.0, 0.0, 1.0, 1.0) * alpha * 0.2;\\n    }\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_extrude;\\nattribute vec2 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform float u_scale;\\n\\nvarying float v_max_zoom;\\nvarying float v_placement_zoom;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos + a_extrude / u_scale, 0.0, 1.0);\\n\\n    v_max_zoom = a_data.x;\\n    v_placement_zoom = a_data.y;\\n}\\n\"}},e.exports.util=\"float evaluate_zoom_function_1(const vec4 values, const float t) {\\n    if (t < 1.0) {\\n        return mix(values[0], values[1], t);\\n    } else if (t < 2.0) {\\n        return mix(values[1], values[2], t - 1.0);\\n    } else {\\n        return mix(values[2], values[3], t - 2.0);\\n    }\\n}\\nvec4 evaluate_zoom_function_4(const vec4 value0, const vec4 value1, const vec4 value2, const vec4 value3, const float t) {\\n    if (t < 1.0) {\\n        return mix(value0, value1, t);\\n    } else if (t < 2.0) {\\n        return mix(value1, value2, t - 1.0);\\n    } else {\\n        return 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s=t(\"feature-filter\"),l=t(\"./array_group\"),u=t(\"./buffer_group\"),c=t(\"../util/util\"),h=t(\"../util/struct_array\"),f=t(\"assert\");e.exports=n,n.create=function(e){return new({fill:t(\"./bucket/fill_bucket\"),line:t(\"./bucket/line_bucket\"),circle:t(\"./bucket/circle_bucket\"),symbol:t(\"./bucket/symbol_bucket\")}[e.layer.type])(e)},n.EXTENT=8192,n.prototype.populateArrays=function(){this.createArrays(),this.recalculateStyleLayers();for(var t=0;t<this.features.length;t++)this.addFeature(this.features[t]);this.trimArrays()},n.prototype.prepareArrayGroup=function(t,e){var r=this.arrayGroups[t],n=r.length&&r[r.length-1];return n&&n.hasCapacityFor(e)||(n=new l({layoutVertexArrayType:this.programInterfaces[t].layoutVertexArrayType,elementArrayType:this.programInterfaces[t].elementArrayType,elementArrayType2:this.programInterfaces[t].elementArrayType2,paintVertexArrayTypes:this.paintVertexArrayTypes[t]}),n.index=r.length,r.push(n)),n},n.prototype.createArrays=function(){this.arrayGroups={},this.paintVertexArrayTypes={};for(var t in this.programInterfaces){this.arrayGroups[t]=[];var e=this.paintVertexArrayTypes[t]={},r=this.paintAttributes[t];for(var i in r)e[i]=new n.VertexArrayType(r[i].attributes)}},n.prototype.destroy=function(t){for(var e in this.bufferGroups)for(var r=this.bufferGroups[e],n=0;n<r.length;n++)r[n].destroy(t)},n.prototype.trimArrays=function(){for(var t in this.arrayGroups)for(var e=this.arrayGroups[t],r=0;r<e.length;r++)e[r].trim()},n.prototype.isEmpty=function(){for(var t in this.arrayGroups)for(var e=this.arrayGroups[t],r=0;r<e.length;r++)if(!e[r].isEmpty())return!1;return!0},n.prototype.getTransferables=function(t){for(var e in this.arrayGroups)for(var r=this.arrayGroups[e],n=0;n<r.length;n++)r[n].getTransferables(t)},n.prototype.setUniforms=function(t,e,r,n,i){for(var a=this.paintAttributes[e][n.id].uniforms,o=0;o<a.length;o++){var s=a[o],l=r[s.name];t[\"uniform\"+s.components+\"fv\"](l,s.getValue(n,i))}},n.prototype.serialize=function(){return{layerId:this.layer.id,zoom:this.zoom,arrays:c.mapObject(this.arrayGroups,function(t){return t.map(function(t){return t.serialize()})}),paintVertexArrayTypes:c.mapObject(this.paintVertexArrayTypes,function(t){return c.mapObject(t,function(t){return t.serialize()})}),childLayerIds:this.childLayers.map(function(t){return t.id})}},n.prototype.createFilter=function(){this.filter||(this.filter=s(this.layer.filter))};var d={lastIntegerZoom:1/0,lastIntegerZoomTime:0,lastZoom:0};n.prototype.recalculateStyleLayers=function(){for(var t=0;t<this.childLayers.length;t++)this.childLayers[t].recalculate(this.zoom,d)},n.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a=0;a<this.childLayers.length;a++)for(var o=this.childLayers[a],s=this.arrayGroups[t],l=n.index;l<s.length;l++){var u=s[l],c=u.layoutVertexArray.length,h=u.paintVertexArrays[o.id];h.resize(c);for(var f=this.paintAttributes[t][o.id].attributes,d=0;d<f.length;d++)for(var p=f[d],m=p.getValue(o,e,r),v=p.multiplier||1,g=p.components||1,y=l===n.index?i:0,b=y;b<c;b++)for(var x=h.get(b),_=0;_<g;_++){var w=g>1?p.name+_:p.name;x[w]=m[_]*v}}},n.VertexArrayType=function(t){return new h({members:t,alignment:4})},n.ElementArrayType=function(t){return new h({members:[{type:\"Uint16\",name:\"vertices\",components:t||3}]})}},{\"../util/struct_array\":440,\"../util/util\":442,\"./array_group\":328,\"./bucket/circle_bucket\":330,\"./bucket/fill_bucket\":331,\"./bucket/line_bucket\":332,\"./bucket/symbol_bucket\":333,\"./buffer_group\":335,assert:47,\"feature-filter\":132}],330:[function(t,e,r){\"use strict\";function n(){i.apply(this,arguments)}var i=t(\"../bucket\"),a=t(\"../../util/util\"),o=t(\"../load_geometry\"),s=i.EXTENT;e.exports=n,n.prototype=a.inherit(i,{}),n.prototype.addCircleVertex=function(t,e,r,n,i){return t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)},n.prototype.programInterfaces={circle:{layoutVertexArrayType:new i.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"}]),elementArrayType:new i.ElementArrayType,paintAttributes:[{name:\"a_color\",components:4,type:\"Uint8\",getValue:function(t,e,r){return t.getPaintValue(\"circle-color\",e,r)},multiplier:255,paintProperty:\"circle-color\"},{name:\"a_radius\",components:1,type:\"Uint16\",isLayerConstant:!1,getValue:function(t,e,r){return[t.getPaintValue(\"circle-radius\",e,r)]},multiplier:10,paintProperty:\"circle-radius\"},{name:\"a_blur\",components:1,type:\"Uint16\",isLayerConstant:!1,getValue:function(t,e,r){return[t.getPaintValue(\"circle-blur\",e,r)]},multiplier:10,paintProperty:\"circle-blur\"},{name:\"a_opacity\",components:1,type:\"Uint16\",isLayerConstant:!1,getValue:function(t,e,r){return[t.getPaintValue(\"circle-opacity\",e,r)]},multiplier:255,paintProperty:\"circle-opacity\"}]}},n.prototype.addFeature=function(t){for(var e={zoom:this.zoom},r=o(t),n=this.prepareArrayGroup(\"circle\",0),i=n.layoutVertexArray.length,a=0;a<r.length;a++)for(var l=0;l<r[a].length;l++){var u=r[a][l].x,c=r[a][l].y;if(!(u<0||u>=s||c<0||c>=s)){var h=this.prepareArrayGroup(\"circle\",4),f=h.layoutVertexArray,d=this.addCircleVertex(f,u,c,-1,-1);this.addCircleVertex(f,u,c,1,-1),this.addCircleVertex(f,u,c,1,1),this.addCircleVertex(f,u,c,-1,1),h.elementArray.emplaceBack(d,d+1,d+2),h.elementArray.emplaceBack(d,d+3,d+2)}}this.populatePaintArrays(\"circle\",e,t.properties,n,i)}},{\"../../util/util\":442,\"../bucket\":329,\"../load_geometry\":337}],331:[function(t,e,r){\"use strict\";function n(){i.apply(this,arguments)}var i=t(\"../bucket\"),a=t(\"../../util/util\"),o=t(\"../load_geometry\"),s=t(\"earcut\"),l=t(\"../../util/classify_rings\");e.exports=n,n.prototype=a.inherit(i,{}),n.prototype.programInterfaces={fill:{layoutVertexArrayType:new i.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"}]),elementArrayType:new i.ElementArrayType(1),elementArrayType2:new i.ElementArrayType(2),paintAttributes:[{name:\"a_color\",components:4,type:\"Uint8\",getValue:function(t,e,r){return t.getPaintValue(\"fill-color\",e,r)},multiplier:255,paintProperty:\"fill-color\"},{name:\"a_outline_color\",components:4,type:\"Uint8\",getValue:function(t,e,r){return t.getPaintValue(\"fill-outline-color\",e,r)},multiplier:255,paintProperty:\"fill-outline-color\"},{name:\"a_opacity\",components:1,type:\"Uint8\",getValue:function(t,e,r){return[t.getPaintValue(\"fill-opacity\",e,r)]},multiplier:255,paintProperty:\"fill-opacity\"}]}},n.prototype.addFeature=function(t){for(var e=o(t),r=l(e,500),n=this.prepareArrayGroup(\"fill\",0),i=n.layoutVertexArray.length,a=0;a<r.length;a++)this.addPolygon(r[a]);this.populatePaintArrays(\"fill\",{zoom:this.zoom},t.properties,n,i)},n.prototype.addPolygon=function(t){for(var e=0,r=0;r<t.length;r++)e+=t[r].length;for(var n=this.prepareArrayGroup(\"fill\",e),i=[],a=[],o=n.layoutVertexArray.length,l=0;l<t.length;l++){var u=t[l];l>0&&a.push(i.length/2);for(var c=0;c<u.length;c++){var h=u[c],f=n.layoutVertexArray.emplaceBack(h.x,h.y);c>=1&&n.elementArray2.emplaceBack(f-1,f),i.push(h.x),i.push(h.y)}}for(var d=s(i,a),p=0;p<d.length;p++)n.elementArray.emplaceBack(d[p]+o)}},{\"../../util/classify_rings\":430,\"../../util/util\":442,\"../bucket\":329,\"../load_geometry\":337,earcut:126}],332:[function(t,e,r){\"use strict\";function n(){i.apply(this,arguments)}var i=t(\"../bucket\"),a=t(\"../../util/util\"),o=t(\"../load_geometry\"),s=i.EXTENT,l=Math.cos(Math.PI/180*37.5),u=Math.pow(2,14)/.5;e.exports=n,n.prototype=a.inherit(i,{}),n.prototype.addLineVertex=function(t,e,r,n,i,a,o){return t.emplaceBack(e.x<<1|n,e.y<<1|i,Math.round(63*r.x)+128,Math.round(63*r.y)+128,1+(0===a?0:a<0?-1:1)|(.5*o&63)<<2,.5*o>>6)},n.prototype.programInterfaces={line:{layoutVertexArrayType:new i.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}]),elementArrayType:new i.ElementArrayType}},n.prototype.addFeature=function(t){for(var e=o(t,15),r=0;r<e.length;r++)this.addLine(e[r],this.layer.layout[\"line-join\"],this.layer.layout[\"line-cap\"],this.layer.layout[\"line-miter-limit\"],this.layer.layout[\"line-round-limit\"])},n.prototype.addLine=function(t,e,r,n,i){for(var a=t.length;a>2&&t[a-1].equals(t[a-2]);)a--;if(!(t.length<2)){\"bevel\"===e&&(n=1.05);var o=s/(512*this.overscaling)*15,u=t[0],c=t[a-1],h=u.equals(c);if(this.prepareArrayGroup(\"line\",10*a),2!==a||!h){this.distance=0;var f,d,p,m,v,g,y,b=r,x=h?\"butt\":r,_=!0;this.e1=this.e2=this.e3=-1,h&&(f=t[a-2],v=u.sub(f)._unit()._perp());for(var w=0;w<a;w++)if(!(p=h&&w===a-1?t[1]:t[w+1])||!t[w].equals(p)){v&&(m=v),f&&(d=f),f=t[w],v=p?p.sub(f)._unit()._perp():m,m=m||v;var M=m.add(v)._unit(),k=M.x*v.x+M.y*v.y,A=1/k,T=k<l&&d&&p;if(T&&w>0){var S=f.dist(d);if(S>2*o){var E=f.sub(f.sub(d)._mult(o/S)._round());this.distance+=E.dist(d),this.addCurrentVertex(E,this.distance,m.mult(1),0,0,!1),d=E}}var L=d&&p,C=L?e:p?b:x;if(L&&\"round\"===C&&(A<i?C=\"miter\":A<=2&&(C=\"fakeround\")),\"miter\"===C&&A>n&&(C=\"bevel\"),\"bevel\"===C&&(A>2&&(C=\"flipbevel\"),A<n&&(C=\"miter\")),d&&(this.distance+=f.dist(d)),\"miter\"===C)M._mult(A),this.addCurrentVertex(f,this.distance,M,0,0,!1);else if(\"flipbevel\"===C){if(A>100)M=v.clone();else{var I=m.x*v.y-m.y*v.x>0?-1:1,z=A*m.add(v).mag()/m.sub(v).mag();M._perp()._mult(z*I)}this.addCurrentVertex(f,this.distance,M,0,0,!1),this.addCurrentVertex(f,this.distance,M.mult(-1),0,0,!1)}else if(\"bevel\"===C||\"fakeround\"===C){var D=m.x*v.y-m.y*v.x>0,P=-Math.sqrt(A*A-1);if(D?(y=0,g=P):(g=0,y=P),_||this.addCurrentVertex(f,this.distance,m,g,y,!1),\"fakeround\"===C){for(var O,R=Math.floor(8*(.5-(k-.5))),F=0;F<R;F++)O=v.mult((F+1)/(R+1))._add(m)._unit(),this.addPieSliceVertex(f,this.distance,O,D);this.addPieSliceVertex(f,this.distance,M,D);for(var j=R-1;j>=0;j--)O=m.mult((j+1)/(R+1))._add(v)._unit(),this.addPieSliceVertex(f,this.distance,O,D)}p&&this.addCurrentVertex(f,this.distance,v,-g,-y,!1)}else\"butt\"===C?(_||this.addCurrentVertex(f,this.distance,m,0,0,!1),p&&this.addCurrentVertex(f,this.distance,v,0,0,!1)):\"square\"===C?(_||(this.addCurrentVertex(f,this.distance,m,1,1,!1),this.e1=this.e2=-1),p&&this.addCurrentVertex(f,this.distance,v,-1,-1,!1)):\"round\"===C&&(_||(this.addCurrentVertex(f,this.distance,m,0,0,!1),this.addCurrentVertex(f,this.distance,m,1,1,!0),this.e1=this.e2=-1),p&&(this.addCurrentVertex(f,this.distance,v,-1,-1,!0),this.addCurrentVertex(f,this.distance,v,0,0,!1)));if(T&&w<a-1){var N=f.dist(p);if(N>2*o){var B=f.add(p.sub(f)._mult(o/N)._round());this.distance+=B.dist(f),this.addCurrentVertex(B,this.distance,v.mult(1),0,0,!1),f=B}}_=!1}}}},n.prototype.addCurrentVertex=function(t,e,r,n,i,a){var o,s=a?1:0,l=this.arrayGroups.line[this.arrayGroups.line.length-1],c=l.layoutVertexArray,h=l.elementArray;o=r.clone(),n&&o._sub(r.perp()._mult(n)),this.e3=this.addLineVertex(c,t,o,s,0,n,e),this.e1>=0&&this.e2>=0&&h.emplaceBack(this.e1,this.e2,this.e3),this.e1=this.e2,this.e2=this.e3,o=r.mult(-1),i&&o._sub(r.perp()._mult(i)),this.e3=this.addLineVertex(c,t,o,s,1,-i,e),this.e1>=0&&this.e2>=0&&h.emplaceBack(this.e1,this.e2,this.e3),this.e1=this.e2,this.e2=this.e3,e>u/2&&(this.distance=0,this.addCurrentVertex(t,this.distance,r,n,i,a))},n.prototype.addPieSliceVertex=function(t,e,r,n){var i=n?1:0;r=r.mult(n?-1:1);var a=this.arrayGroups.line[this.arrayGroups.line.length-1],o=a.layoutVertexArray,s=a.elementArray;this.e3=this.addLineVertex(o,t,r,0,i,0,e),this.e1>=0&&this.e2>=0&&s.emplaceBack(this.e1,this.e2,this.e3),n?this.e2=this.e3:this.e1=this.e3}},{\"../../util/util\":442,\"../bucket\":329,\"../load_geometry\":337}],333:[function(t,e,r){\"use strict\";function n(t){o.apply(this,arguments),this.showCollisionBoxes=t.showCollisionBoxes,this.overscaling=t.overscaling,this.collisionBoxArray=t.collisionBoxArray,this.symbolQuadsArray=t.symbolQuadsArray,this.symbolInstancesArray=t.symbolInstancesArray,this.sdfIcons=t.sdfIcons,this.iconsNeedLinear=t.iconsNeedLinear,this.adjustedTextSize=t.adjustedTextSize,this.adjustedIconSize=t.adjustedIconSize,this.fontstack=t.fontstack}function i(t,e,r,n,i,a,o,s,l,u,c){return t.emplaceBack(e,r,Math.round(64*n),Math.round(64*i),a/4,o/4,10*(u||0),c,10*(s||0),10*Math.min(l||25,25))}var a=t(\"point-geometry\"),o=t(\"../bucket\"),s=t(\"../../symbol/anchor\"),l=t(\"../../symbol/get_anchors\"),u=t(\"../../util/token\"),c=t(\"../../symbol/quads\"),h=t(\"../../symbol/shaping\"),f=t(\"../../symbol/resolve_text\"),d=t(\"../../symbol/mergelines\"),p=t(\"../../symbol/clip_line\"),m=t(\"../../util/util\"),v=t(\"../load_geometry\"),g=t(\"../../symbol/collision_feature\"),y=h.shapeText,b=h.shapeIcon,x=c.getGlyphQuads,_=c.getIconQuads,w=o.EXTENT;e.exports=n,n.MAX_QUADS=65535,n.prototype=m.inherit(o,{}),n.prototype.serialize=function(){var t=o.prototype.serialize.apply(this);return t.sdfIcons=this.sdfIcons,t.iconsNeedLinear=this.iconsNeedLinear,t.adjustedTextSize=this.adjustedTextSize,t.adjustedIconSize=this.adjustedIconSize,t.fontstack=this.fontstack,t};var M=new o.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_offset\",components:2,type:\"Int16\"},{name:\"a_texture_pos\",components:2,type:\"Uint16\"},{name:\"a_data\",components:4,type:\"Uint8\"}]),k=new o.ElementArrayType;n.prototype.addCollisionBoxVertex=function(t,e,r,n,i){return t.emplaceBack(e.x,e.y,Math.round(r.x),Math.round(r.y),10*n,10*i)},n.prototype.programInterfaces={glyph:{layoutVertexArrayType:M,elementArrayType:k},icon:{layoutVertexArrayType:M,elementArrayType:k},collisionBox:{layoutVertexArrayType:new o.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_extrude\",components:2,type:\"Int16\"},{name:\"a_data\",components:2,type:\"Uint8\"}])}},n.prototype.populateArrays=function(t,e,r){var n={lastIntegerZoom:1/0,lastIntegerZoomTime:0,lastZoom:0};this.adjustedTextMaxSize=this.layer.getLayoutValue(\"text-size\",{zoom:18,zoomHistory:n}),this.adjustedTextSize=this.layer.getLayoutValue(\"text-size\",{zoom:this.zoom+1,zoomHistory:n}),this.adjustedIconMaxSize=this.layer.getLayoutValue(\"icon-size\",{zoom:18,zoomHistory:n}),this.adjustedIconSize=this.layer.getLayoutValue(\"icon-size\",{zoom:this.zoom+1,zoomHistory:n});var i=512*this.overscaling;this.tilePixelRatio=w/i,this.compareText={},this.iconsNeedLinear=!1,this.symbolInstancesStartIndex=this.symbolInstancesArray.length;var a=this.layer.layout,o=this.features,s=this.textFeatures,l=.5,c=.5;switch(a[\"text-anchor\"]){case\"right\":case\"top-right\":case\"bottom-right\":l=1;break;case\"left\":case\"top-left\":case\"bottom-left\":l=0}switch(a[\"text-anchor\"]){case\"bottom\":case\"bottom-right\":case\"bottom-left\":c=1;break;case\"top\":case\"top-right\":case\"top-left\":c=0}for(var h=\"right\"===a[\"text-justify\"]?1:\"left\"===a[\"text-justify\"]?0:.5,f=24*a[\"text-line-height\"],p=\"line\"!==a[\"symbol-placement\"]?24*a[\"text-max-width\"]:0,g=24*a[\"text-letter-spacing\"],x=[24*a[\"text-offset\"][0],24*a[\"text-offset\"][1]],_=this.fontstack=a[\"text-font\"].join(\",\"),M=[],k=0;k<o.length;k++)M.push(v(o[k]));if(\"line\"===a[\"symbol-placement\"]){var A=d(o,s,M);M=A.geometries,o=A.features,s=A.textFeatures}for(var T,S,E=0;E<o.length;E++)if(M[E]){if(T=s[E]?y(s[E],e[_],p,f,l,c,h,g,x):null,a[\"icon-image\"]){var L=u(o[E].properties,a[\"icon-image\"]),C=r[L];S=b(C,a),C&&(void 0===this.sdfIcons?this.sdfIcons=C.sdf:this.sdfIcons!==C.sdf&&m.warnOnce(\"Style sheet warning: Cannot mix SDF and non-SDF icons in one buffer\"),1!==C.pixelRatio?this.iconsNeedLinear=!0:0===a[\"icon-rotate\"]&&this.layer.isLayoutValueFeatureConstant(\"icon-rotate\")||(this.iconsNeedLinear=!0))}else S=null;(T||S)&&this.addFeature(M[E],T,S,o[E])}this.symbolInstancesEndIndex=this.symbolInstancesArray.length,this.placeFeatures(t,this.showCollisionBoxes),this.trimArrays()},n.prototype.addFeature=function(t,e,r,n){var i=this.layer.layout,a=this.adjustedTextSize/24,o=void 0!==this.adjustedTextMaxSize?this.adjustedTextMaxSize:this.adjustedTextSize,u=this.tilePixelRatio*a,c=this.tilePixelRatio*o/24,h=this.tilePixelRatio*this.adjustedIconSize,f=this.tilePixelRatio*i[\"symbol-spacing\"],d=i[\"symbol-avoid-edges\"],m=i[\"text-padding\"]*this.tilePixelRatio,v=i[\"icon-padding\"]*this.tilePixelRatio,g=i[\"text-max-angle\"]/180*Math.PI,y=\"map\"===i[\"text-rotation-alignment\"]&&\"line\"===i[\"symbol-placement\"],b=\"map\"===i[\"icon-rotation-alignment\"]&&\"line\"===i[\"symbol-placement\"],x=i[\"text-allow-overlap\"]||i[\"icon-allow-overlap\"]||i[\"text-ignore-placement\"]||i[\"icon-ignore-placement\"],_=\"line\"===i[\"symbol-placement\"],M=f/2;_&&(t=p(t,0,0,w,w));for(var k=0;k<t.length;k++){var A,T=t[k];A=_?l(T,f,g,e,r,24,c,this.overscaling,w):[new s(T[0].x,T[0].y,0)];for(var S=0,E=A.length;S<E;S++){var L=A[S];if(!(e&&_&&this.anchorIsTooClose(e.text,M,L))){var C=!(L.x<0||L.x>w||L.y<0||L.y>w);if(!d||C){var I=C||x;this.addSymbolInstance(L,T,e,r,this.layer,I,this.symbolInstancesArray.length,this.collisionBoxArray,n.index,this.sourceLayerIndex,this.index,u,m,y,h,v,b,{zoom:this.zoom},n.properties)}}}}},n.prototype.anchorIsTooClose=function(t,e,r){var n=this.compareText;if(t in n){for(var i=n[t],a=i.length-1;a>=0;a--)if(r.dist(i[a])<e)return!0}else n[t]=[];return n[t].push(r),!1},n.prototype.placeFeatures=function(t,e){this.recalculateStyleLayers(),this.createArrays();var r=this.layer.layout,n=t.maxScale,i=\"map\"===r[\"text-rotation-alignment\"]&&\"line\"===r[\"symbol-placement\"],a=\"map\"===r[\"icon-rotation-alignment\"]&&\"line\"===r[\"symbol-placement\"];if(r[\"text-allow-overlap\"]||r[\"icon-allow-overlap\"]||r[\"text-ignore-placement\"]||r[\"icon-ignore-placement\"]){var o=this.symbolInstancesArray.toArray(this.symbolInstancesStartIndex,this.symbolInstancesEndIndex),s=t.angle,l=Math.sin(s),u=Math.cos(s);this.sortedSymbolInstances=o.sort(function(t,e){return(l*t.anchorPointX+u*t.anchorPointY|0)-(l*e.anchorPointX+u*e.anchorPointY|0)||e.index-t.index})}for(var c=this.symbolInstancesStartIndex;c<this.symbolInstancesEndIndex;c++){var h=this.sortedSymbolInstances?this.sortedSymbolInstances[c-this.symbolInstancesStartIndex]:this.symbolInstancesArray.get(c),f={boxStartIndex:h.textBoxStartIndex,boxEndIndex:h.textBoxEndIndex},d={boxStartIndex:h.iconBoxStartIndex,boxEndIndex:h.iconBoxEndIndex},p=!(h.textBoxStartIndex===h.textBoxEndIndex),m=!(h.iconBoxStartIndex===h.iconBoxEndIndex),v=r[\"text-optional\"]||!p,g=r[\"icon-optional\"]||!m,y=p?t.placeCollisionFeature(f,r[\"text-allow-overlap\"],r[\"symbol-avoid-edges\"]):t.minScale,b=m?t.placeCollisionFeature(d,r[\"icon-allow-overlap\"],r[\"symbol-avoid-edges\"]):t.minScale;v||g?!g&&y?y=Math.max(b,y):!v&&b&&(b=Math.max(b,y)):b=y=Math.max(b,y),p&&(t.insertCollisionFeature(f,y,r[\"text-ignore-placement\"]),y<=n&&this.addSymbols(\"glyph\",h.glyphQuadStartIndex,h.glyphQuadEndIndex,y,r[\"text-keep-upright\"],i,t.angle)),m&&(t.insertCollisionFeature(d,b,r[\"icon-ignore-placement\"]),b<=n&&this.addSymbols(\"icon\",h.iconQuadStartIndex,h.iconQuadEndIndex,b,r[\"icon-keep-upright\"],a,t.angle))}e&&this.addToDebugBuffers(t)},n.prototype.addSymbols=function(t,e,r,n,a,o,s){for(var l=this.prepareArrayGroup(t,4*(r-e)),u=l.elementArray,c=l.layoutVertexArray,h=this.zoom,f=Math.max(Math.log(n)/Math.LN2+h,0),d=e;d<r;d++){var p=this.symbolQuadsArray.get(d).SymbolQuad,m=(p.anchorAngle+s+Math.PI)%(2*Math.PI);if(!(a&&o&&(m<=Math.PI/2||m>3*Math.PI/2))){var v=p.tl,g=p.tr,y=p.bl,b=p.br,x=p.tex,_=p.anchorPoint,w=Math.max(h+Math.log(p.minScale)/Math.LN2,f),M=Math.min(h+Math.log(p.maxScale)/Math.LN2,25);if(!(M<=w)){w===f&&(w=0);var k=Math.round(p.glyphAngle/(2*Math.PI)*256),A=i(c,_.x,_.y,v.x,v.y,x.x,x.y,w,M,f,k);i(c,_.x,_.y,g.x,g.y,x.x+x.w,x.y,w,M,f,k),i(c,_.x,_.y,y.x,y.y,x.x,x.y+x.h,w,M,f,k),i(c,_.x,_.y,b.x,b.y,x.x+x.w,x.y+x.h,w,M,f,k),u.emplaceBack(A,A+1,A+2),u.emplaceBack(A+1,A+2,A+3)}}}},n.prototype.updateIcons=function(t){this.recalculateStyleLayers();var e=this.layer.layout[\"icon-image\"];if(e)for(var r=0;r<this.features.length;r++){var n=u(this.features[r].properties,e);n&&(t[n]=!0)}},n.prototype.updateFont=function(t){this.recalculateStyleLayers();var e=this.layer.layout[\"text-font\"],r=t[e]=t[e]||{};this.textFeatures=f(this.features,this.layer.layout,r)},n.prototype.addToDebugBuffers=function(t){for(var e=this.prepareArrayGroup(\"collisionBox\",0),r=e.layoutVertexArray,n=-t.angle,i=t.yStretch,o=this.symbolInstancesStartIndex;o<this.symbolInstancesEndIndex;o++){var s=this.symbolInstancesArray.get(o);s.textCollisionFeature={boxStartIndex:s.textBoxStartIndex,boxEndIndex:s.textBoxEndIndex},s.iconCollisionFeature={boxStartIndex:s.iconBoxStartIndex,boxEndIndex:s.iconBoxEndIndex};for(var l=0;l<2;l++){var u=s[0===l?\"textCollisionFeature\":\"iconCollisionFeature\"];if(u)for(var c=u.boxStartIndex;c<u.boxEndIndex;c++){var h=this.collisionBoxArray.get(c),f=h.anchorPoint,d=new a(h.x1,h.y1*i)._rotate(n),p=new a(h.x2,h.y1*i)._rotate(n),m=new a(h.x1,h.y2*i)._rotate(n),v=new a(h.x2,h.y2*i)._rotate(n),g=Math.max(0,Math.min(25,this.zoom+Math.log(h.maxScale)/Math.LN2)),y=Math.max(0,Math.min(25,this.zoom+Math.log(h.placementScale)/Math.LN2));this.addCollisionBoxVertex(r,f,d,g,y),this.addCollisionBoxVertex(r,f,p,g,y),this.addCollisionBoxVertex(r,f,p,g,y),this.addCollisionBoxVertex(r,f,v,g,y),this.addCollisionBoxVertex(r,f,v,g,y),this.addCollisionBoxVertex(r,f,m,g,y),this.addCollisionBoxVertex(r,f,m,g,y),this.addCollisionBoxVertex(r,f,d,g,y)}}}},n.prototype.addSymbolInstance=function(t,e,r,i,a,o,s,l,u,c,h,f,d,p,v,y,b,w,M){var k,A,T,S,E,L,C,I;if(r&&(C=o?x(t,r,f,e,a,p):[],E=new g(l,e,t,u,c,h,r,f,d,p,!1)),k=this.symbolQuadsArray.length,C&&C.length)for(var z=0;z<C.length;z++)this.addSymbolQuad(C[z]);A=this.symbolQuadsArray.length;var D=E?E.boxStartIndex:this.collisionBoxArray.length,P=E?E.boxEndIndex:this.collisionBoxArray.length;i&&(I=o?_(t,i,v,e,a,b,r,w,M):[],L=new g(l,e,t,u,c,h,i,v,y,b,!0)),T=this.symbolQuadsArray.length,I&&1===I.length&&this.addSymbolQuad(I[0]),S=this.symbolQuadsArray.length;var O=L?L.boxStartIndex:this.collisionBoxArray.length,R=L?L.boxEndIndex:this.collisionBoxArray.length;return S>n.MAX_QUADS&&m.warnOnce(\"Too many symbols being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\"),A>n.MAX_QUADS&&m.warnOnce(\"Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\"),this.symbolInstancesArray.emplaceBack(D,P,O,R,k,A,T,S,t.x,t.y,s)},n.prototype.addSymbolQuad=function(t){return this.symbolQuadsArray.emplaceBack(t.anchorPoint.x,t.anchorPoint.y,t.tl.x,t.tl.y,t.tr.x,t.tr.y,t.bl.x,t.bl.y,t.br.x,t.br.y,t.tex.h,t.tex.w,t.tex.x,t.tex.y,t.anchorAngle,t.glyphAngle,t.maxScale,t.minScale)}},{\"../../symbol/anchor\":391,\"../../symbol/clip_line\":393,\"../../symbol/collision_feature\":395,\"../../symbol/get_anchors\":397,\"../../symbol/mergelines\":400,\"../../symbol/quads\":401,\"../../symbol/resolve_text\":402,\"../../symbol/shaping\":403,\"../../util/token\":441,\"../../util/util\":442,\"../bucket\":329,\"../load_geometry\":337,\"point-geometry\":484}],334:[function(t,e,r){\"use strict\";function n(t,e,r){this.arrayBuffer=t.arrayBuffer,this.length=t.length,this.attributes=e.members,this.itemSize=e.bytesPerElement,this.type=r,this.arrayType=e}e.exports=n,n.prototype.bind=function(t){var e=t[this.type];this.buffer?t.bindBuffer(e,this.buffer):(this.buffer=t.createBuffer(),t.bindBuffer(e,this.buffer),t.bufferData(e,this.arrayBuffer,t.STATIC_DRAW),this.arrayBuffer=null)};var i={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\"};n.prototype.setVertexAttribPointers=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],a=e[n.name];void 0!==a&&t.vertexAttribPointer(a,n.components,t[i[n.type]],!1,this.arrayType.bytesPerElement,n.offset)}},n.prototype.destroy=function(t){this.buffer&&t.deleteBuffer(this.buffer)},n.BufferType={VERTEX:\"ARRAY_BUFFER\",ELEMENT:\"ELEMENT_ARRAY_BUFFER\"}},{}],335:[function(t,e,r){\"use strict\";function n(t,e){this.layoutVertexBuffer=new a(t.layoutVertexArray,e.layoutVertexArrayType,a.BufferType.VERTEX),t.elementArray&&(this.elementBuffer=new a(t.elementArray,e.elementArrayType,a.BufferType.ELEMENT));var r,n=this.vaos={};t.elementArray2&&(this.elementBuffer2=new a(t.elementArray2,e.elementArrayType2,a.BufferType.ELEMENT),r=this.secondVaos={}),this.paintVertexBuffers=i.mapObject(t.paintVertexArrays,function(i,s){return n[s]=new o,t.elementArray2&&(r[s]=new o),new a(i,e.paintVertexArrayTypes[s],a.BufferType.VERTEX)})}var i=t(\"../util/util\"),a=t(\"./buffer\"),o=t(\"../render/vertex_array_object\");e.exports=n,n.prototype.destroy=function(t){this.layoutVertexBuffer.destroy(t),this.elementBuffer&&this.elementBuffer.destroy(t),this.elementBuffer2&&this.elementBuffer2.destroy(t);for(var e in this.paintVertexBuffers)this.paintVertexBuffers[e].destroy(t);for(var r in this.vaos)this.vaos[r].destroy(t);for(var n in this.secondVaos)this.secondVaos[n].destroy(t)}},{\"../render/vertex_array_object\":357,\"../util/util\":442,\"./buffer\":334}],336:[function(t,e,r){\"use strict\";function n(t,e,r){if(t.grid){var n=t,i=e;t=n.coord,e=n.overscaling,this.grid=new p(n.grid),this.featureIndexArray=new k(n.featureIndexArray),this.rawTileData=i,this.bucketLayerIDs=n.bucketLayerIDs}else this.grid=new p(h,16,0),this.featureIndexArray=new k;this.coord=t,this.overscaling=e,this.x=t.x,this.y=t.y,this.z=t.z-Math.log(e)/Math.LN2,this.setCollisionTile(r)}function i(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function a(t,e){return e-t}function o(t){return t[\"line-gap-width\"]>0?t[\"line-gap-width\"]+2*t[\"line-width\"]:t[\"line-width\"]}function s(t,e,r,n,i){if(!e[0]&&!e[1])return t;e=u.convert(e),\"viewport\"===r&&e._rotate(-n);for(var a=[],o=0;o<t.length;o++){for(var s=t[o],l=[],c=0;c<s.length;c++)l.push(s[c].sub(e._mult(i)));a.push(l)}return a}function l(t,e){for(var r=[],n=new u(0,0),i=0;i<t.length;i++){for(var a=t[i],o=[],s=0;s<a.length;s++){var l=a[s-1],c=a[s],h=a[s+1],f=0===s?n:c.sub(l)._unit()._perp(),d=s===a.length-1?n:h.sub(c)._unit()._perp(),p=f._add(d)._unit(),m=p.x*d.x+p.y*d.y;p._mult(1/m),o.push(p._mult(e)._add(c))}r.push(o)}return r}var u=t(\"point-geometry\"),c=t(\"./load_geometry\"),h=t(\"./bucket\").EXTENT,f=t(\"feature-filter\"),d=t(\"../util/struct_array\"),p=t(\"grid-index\"),m=t(\"../util/dictionary_coder\"),v=t(\"vector-tile\"),g=t(\"pbf\"),y=t(\"../util/vectortile_to_geojson\"),b=t(\"../util/util\").arraysIntersect,x=t(\"../util/intersection_tests\"),_=x.multiPolygonIntersectsBufferedMultiPoint,w=x.multiPolygonIntersectsMultiPolygon,M=x.multiPolygonIntersectsBufferedMultiLine,k=new d({members:[{type:\"Uint32\",name:\"featureIndex\"},{type:\"Uint16\",name:\"sourceLayerIndex\"},{type:\"Uint16\",name:\"bucketIndex\"}]});e.exports=n,n.prototype.insert=function(t,e,r,n){var i=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(e,r,n);for(var a=c(t),o=0;o<a.length;o++){for(var s=a[o],l=[1/0,1/0,-1/0,-1/0],u=0;u<s.length;u++){var h=s[u];l[0]=Math.min(l[0],h.x),l[1]=Math.min(l[1],h.y),l[2]=Math.max(l[2],h.x),l[3]=Math.max(l[3],h.y)}this.grid.insert(i,l[0],l[1],l[2],l[3])}},n.prototype.setCollisionTile=function(t){this.collisionTile=t},n.prototype.serialize=function(){var t={coord:this.coord,overscaling:this.overscaling,grid:this.grid.toArrayBuffer(),featureIndexArray:this.featureIndexArray.serialize(),bucketLayerIDs:this.bucketLayerIDs};return{data:t,transferables:[t.grid,t.featureIndexArray.arrayBuffer]}},n.prototype.query=function(t,e){this.vtLayers||(this.vtLayers=new v.VectorTile(new g(new Uint8Array(this.rawTileData))).layers,this.sourceLayerCoder=new m(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"]));var r={},n=t.params||{},s=h/t.tileSize/t.scale,l=f(n.filter),c=0;for(var d in e){var p=e[d],y=p.paint,b=0;\"line\"===p.type?b=o(y)/2+Math.abs(y[\"line-offset\"])+i(y[\"line-translate\"]):\"fill\"===p.type?b=i(y[\"fill-translate\"]):\"circle\"===p.type&&(b=y[\"circle-radius\"]+i(y[\"circle-translate\"])),c=Math.max(c,b*s)}for(var x=t.queryGeometry.map(function(t){return t.map(function(t){return new u(t.x,t.y)})}),_=1/0,w=1/0,M=-1/0,k=-1/0,A=0;A<x.length;A++)for(var T=x[A],S=0;S<T.length;S++){var E=T[S];_=Math.min(_,E.x),w=Math.min(w,E.y),M=Math.max(M,E.x),k=Math.max(k,E.y)}var L=this.grid.query(_-c,w-c,M+c,k+c);L.sort(a),this.filterMatching(r,L,this.featureIndexArray,x,l,n.layers,e,t.bearing,s);var C=this.collisionTile.queryRenderedSymbols(_,w,M,k,t.scale);return C.sort(),this.filterMatching(r,C,this.collisionTile.collisionBoxArray,x,l,n.layers,e,t.bearing,s),r},n.prototype.filterMatching=function(t,e,r,n,i,a,u,h,f){for(var d,p=0;p<e.length;p++){var m=e[p];if(m!==d){d=m;var v=r.get(m),g=this.bucketLayerIDs[v.bucketIndex];if(!a||b(a,g)){var x=this.sourceLayerCoder.decode(v.sourceLayerIndex),k=this.vtLayers[x],A=k.feature(v.featureIndex);if(i(A))for(var T=null,S=0;S<g.length;S++){var E=g[S];if(!(a&&a.indexOf(E)<0)){var L=u[E];if(L){var C;if(\"symbol\"!==L.type){T||(T=c(A));var I=L.paint;if(\"line\"===L.type){C=s(n,I[\"line-translate\"],I[\"line-translate-anchor\"],h,f);var z=o(I)/2*f;if(I[\"line-offset\"]&&(T=l(T,I[\"line-offset\"]*f)),!M(C,T,z))continue}else if(\"fill\"===L.type){if(C=s(n,I[\"fill-translate\"],I[\"fill-translate-anchor\"],h,f),!w(C,T))continue}else if(\"circle\"===L.type){C=s(n,I[\"circle-translate\"],I[\"circle-translate-anchor\"],h,f);var D=I[\"circle-radius\"]*f;if(!_(C,T,D))continue}}var P=new y(A,this.z,this.x,this.y);P.layer=L.serialize({includeRefProperties:!0});var O=t[E];void 0===O&&(O=t[E]=[]),O.push(P)}}}}}}}},{\"../util/dictionary_coder\":432,\"../util/intersection_tests\":437,\"../util/struct_array\":440,\"../util/util\":442,\"../util/vectortile_to_geojson\":443,\"./bucket\":329,\"./load_geometry\":337,\"feature-filter\":132,\"grid-index\":287,pbf:478,\"point-geometry\":484,\"vector-tile\":550}],337:[function(t,e,r){\"use strict\";function n(t){return{min:-1*Math.pow(2,t-1),max:Math.pow(2,t-1)-1}}var i=t(\"../util/util\"),a=t(\"./bucket\").EXTENT,o=t(\"assert\"),s={15:n(15),16:n(16)};e.exports=function(t,e){var r=s[e||16];o(r);for(var n=a/t.extent,l=t.loadGeometry(),u=0;u<l.length;u++)for(var c=l[u],h=0;h<c.length;h++){var f=c[h];f.x=Math.round(f.x*n),f.y=Math.round(f.y*n),(f.x<r.min||f.x>r.max||f.y<r.min||f.y>r.max)&&i.warnOnce(\"Geometry exceeds allowed extent, reduce your vector tile buffer size\")}return l}},{\"../util/util\":442,\"./bucket\":329,assert:47}],338:[function(t,e,r){\"use strict\";function n(t,e,r){this.column=t,this.row=e,this.zoom=r}e.exports=n,n.prototype={clone:function(){return new n(this.column,this.row,this.zoom)},zoomTo:function(t){return this.clone()._zoomTo(t)},sub:function(t){return this.clone()._sub(t)},_zoomTo:function(t){var e=Math.pow(2,t-this.zoom);return this.column*=e,this.row*=e,this.zoom=t,this},_sub:function(t){return t=t.zoomTo(this.zoom),this.column-=t.column,this.row-=t.row,this}}},{}],339:[function(t,e,r){\"use strict\";function n(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")}e.exports=n\n",
       ";var i=t(\"../util/util\").wrap;n.prototype.wrap=function(){return new n(i(this.lng,-180,180),this.lat)},n.prototype.toArray=function(){return[this.lng,this.lat]},n.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},n.convert=function(t){return t instanceof n?t:Array.isArray(t)?new n(t[0],t[1]):t}},{\"../util/util\":442}],340:[function(t,e,r){\"use strict\";function n(t,e){t&&(e?this.extend(t).extend(e):4===t.length?this.extend([t[0],t[1]]).extend([t[2],t[3]]):this.extend(t[0]).extend(t[1]))}e.exports=n;var i=t(\"./lng_lat\");n.prototype={extend:function(t){var e,r,a=this._sw,o=this._ne;if(t instanceof i)e=t,r=t;else{if(!(t instanceof n))return t?this.extend(i.convert(t)||n.convert(t)):this;if(e=t._sw,r=t._ne,!e||!r)return this}return a||o?(a.lng=Math.min(e.lng,a.lng),a.lat=Math.min(e.lat,a.lat),o.lng=Math.max(r.lng,o.lng),o.lat=Math.max(r.lat,o.lat)):(this._sw=new i(e.lng,e.lat),this._ne=new i(r.lng,r.lat)),this},getCenter:function(){return new i((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},getSouthWest:function(){return this._sw},getNorthEast:function(){return this._ne},getNorthWest:function(){return new i(this.getWest(),this.getNorth())},getSouthEast:function(){return new i(this.getEast(),this.getSouth())},getWest:function(){return this._sw.lng},getSouth:function(){return this._sw.lat},getEast:function(){return this._ne.lng},getNorth:function(){return this._ne.lat},toArray:function(){return[this._sw.toArray(),this._ne.toArray()]},toString:function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"}},n.convert=function(t){return!t||t instanceof n?t:new n(t)}},{\"./lng_lat\":339}],341:[function(t,e,r){\"use strict\";function n(t,e){this.tileSize=512,this._minZoom=t||0,this._maxZoom=e||22,this.latRange=[-85.05113,85.05113],this.width=0,this.height=0,this._center=new i(0,0),this.zoom=0,this.angle=0,this._altitude=1.5,this._pitch=0,this._unmodified=!0}var i=t(\"./lng_lat\"),a=t(\"point-geometry\"),o=t(\"./coordinate\"),s=t(\"../util/util\").wrap,l=t(\"../util/interpolate\"),u=t(\"../source/tile_coord\"),c=t(\"../data/bucket\").EXTENT,h=t(\"gl-matrix\"),f=h.vec4,d=h.mat4,p=h.mat2;e.exports=n,n.prototype={get minZoom(){return this._minZoom},set minZoom(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},get maxZoom(){return this._maxZoom},set maxZoom(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},get worldSize(){return this.tileSize*this.scale},get centerPoint(){return this.size._div(2)},get size(){return new a(this.width,this.height)},get bearing(){return-this.angle/Math.PI*180},set bearing(t){var e=-s(t,-180,180)*Math.PI/180;this.angle!==e&&(this._unmodified=!1,this.angle=e,this._calcMatrices(),this.rotationMatrix=p.create(),p.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},get pitch(){return this._pitch/Math.PI*180},set pitch(t){var e=Math.min(60,t)/180*Math.PI;this._pitch!==e&&(this._unmodified=!1,this._pitch=e,this._calcMatrices())},get altitude(){return this._altitude},set altitude(t){var e=Math.max(.75,t);this._altitude!==e&&(this._unmodified=!1,this._altitude=e,this._calcMatrices())},get zoom(){return this._zoom},set zoom(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._calcMatrices(),this._constrain())},get center(){return this._center},set center(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._calcMatrices(),this._constrain())},coveringZoomLevel:function(t){return(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize))},coveringTiles:function(t){var e=this.coveringZoomLevel(t),r=e;if(e<t.minzoom)return[];e>t.maxzoom&&(e=t.maxzoom);var n=this,i=n.locationCoordinate(n.center)._zoomTo(e),o=new a(i.column-.5,i.row-.5);return u.cover(e,[n.pointCoordinate(new a(0,0))._zoomTo(e),n.pointCoordinate(new a(n.width,0))._zoomTo(e),n.pointCoordinate(new a(n.width,n.height))._zoomTo(e),n.pointCoordinate(new a(0,n.height))._zoomTo(e)],t.reparseOverscaled?r:e).sort(function(t,e){return o.dist(t)-o.dist(e)})},resize:function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._calcMatrices(),this._constrain()},get unmodified(){return this._unmodified},zoomScale:function(t){return Math.pow(2,t)},scaleZoom:function(t){return Math.log(t)/Math.LN2},project:function(t,e){return new a(this.lngX(t.lng,e),this.latY(t.lat,e))},unproject:function(t,e){return new i(this.xLng(t.x,e),this.yLat(t.y,e))},get x(){return this.lngX(this.center.lng)},get y(){return this.latY(this.center.lat)},get point(){return new a(this.x,this.y)},lngX:function(t,e){return(180+t)*(e||this.worldSize)/360},latY:function(t,e){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))*(e||this.worldSize)/360},xLng:function(t,e){return 360*t/(e||this.worldSize)-180},yLat:function(t,e){var r=180-360*t/(e||this.worldSize);return 360/Math.PI*Math.atan(Math.exp(r*Math.PI/180))-90},panBy:function(t){var e=this.centerPoint._add(t);this.center=this.pointLocation(e)},setLocationAtPoint:function(t,e){var r=this.locationCoordinate(t),n=this.pointCoordinate(e),i=this.pointCoordinate(this.centerPoint),a=n._sub(r);this._unmodified=!1,this.center=this.coordinateLocation(i._sub(a))},locationPoint:function(t){return this.coordinatePoint(this.locationCoordinate(t))},pointLocation:function(t){return this.coordinateLocation(this.pointCoordinate(t))},locationCoordinate:function(t){var e=this.zoomScale(this.tileZoom)/this.worldSize,r=i.convert(t);return new o(this.lngX(r.lng)*e,this.latY(r.lat)*e,this.tileZoom)},coordinateLocation:function(t){var e=this.zoomScale(t.zoom);return new i(this.xLng(t.column,e),this.yLat(t.row,e))},pointCoordinate:function(t){var e=[t.x,t.y,0,1],r=[t.x,t.y,1,1];f.transformMat4(e,e,this.pixelMatrixInverse),f.transformMat4(r,r,this.pixelMatrixInverse);var n=e[3],i=r[3],a=e[0]/n,s=r[0]/i,u=e[1]/n,c=r[1]/i,h=e[2]/n,d=r[2]/i,p=h===d?0:(0-h)/(d-h),m=this.worldSize/this.zoomScale(this.tileZoom);return new o(l(a,s,p)/m,l(u,c,p)/m,this.tileZoom)},coordinatePoint:function(t){var e=this.worldSize/this.zoomScale(t.zoom),r=[t.column*e,t.row*e,0,1];return f.transformMat4(r,r,this.pixelMatrix),new a(r[0]/r[3],r[1]/r[3])},calculatePosMatrix:function(t,e){void 0===e&&(e=1/0),t instanceof u&&(t=t.toCoordinate(e));var r=Math.min(t.zoom,e),n=this.worldSize/Math.pow(2,r),i=new Float64Array(16);return d.identity(i),d.translate(i,i,[t.column*n,t.row*n,0]),d.scale(i,i,[n/c,n/c,1]),d.multiply(i,this.projMatrix,i),new Float32Array(i)},_constrain:function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var t,e,r,n,i,o,s,l,u=this.size,c=this._unmodified;this.latRange&&(t=this.latY(this.latRange[1]),e=this.latY(this.latRange[0]),i=e-t<u.y?u.y/(e-t):0),this.lngRange&&(r=this.lngX(this.lngRange[0]),n=this.lngX(this.lngRange[1]),o=n-r<u.x?u.x/(n-r):0);var h=Math.max(o||0,i||0);if(h)return this.center=this.unproject(new a(o?(n+r)/2:this.x,i?(e+t)/2:this.y)),this.zoom+=this.scaleZoom(h),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var f=this.y,d=u.y/2;f-d<t&&(l=t+d),f+d>e&&(l=e-d)}if(this.lngRange){var p=this.x,m=u.x/2;p-m<r&&(s=r+m),p+m>n&&(s=n-m)}void 0===s&&void 0===l||(this.center=this.unproject(new a(void 0!==s?s:this.x,void 0!==l?l:this.y))),this._unmodified=c,this._constraining=!1}},_calcMatrices:function(){if(this.height){var t=Math.atan(.5/this.altitude),e=Math.sin(t)*this.altitude/Math.sin(Math.PI/2-this._pitch-t),r=Math.cos(Math.PI/2-this._pitch)*e+this.altitude,n=new Float64Array(16);if(d.perspective(n,2*Math.atan(this.height/2/this.altitude),this.width/this.height,.1,r),d.translate(n,n,[0,0,-this.altitude]),d.scale(n,n,[1,-1,1/this.height]),d.rotateX(n,n,this._pitch),d.rotateZ(n,n,this.angle),d.translate(n,n,[-this.x,-this.y,0]),this.projMatrix=n,n=d.create(),d.scale(n,n,[this.width/2,-this.height/2,1]),d.translate(n,n,[1,-1,0]),this.pixelMatrix=d.multiply(new Float64Array(16),n,this.projMatrix),!(n=d.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=n}}}},{\"../data/bucket\":329,\"../source/tile_coord\":369,\"../util/interpolate\":436,\"../util/util\":442,\"./coordinate\":338,\"./lng_lat\":339,\"gl-matrix\":193,\"point-geometry\":484}],342:[function(t,e,r){\"use strict\";var n={\" \":[16,[]],\"!\":[10,[5,21,5,7,-1,-1,5,2,4,1,5,0,6,1,5,2]],'\"':[16,[4,21,4,14,-1,-1,12,21,12,14]],\"#\":[21,[11,25,4,-7,-1,-1,17,25,10,-7,-1,-1,4,12,18,12,-1,-1,3,6,17,6]],$:[20,[8,25,8,-4,-1,-1,12,25,12,-4,-1,-1,17,18,15,20,12,21,8,21,5,20,3,18,3,16,4,14,5,13,7,12,13,10,15,9,16,8,17,6,17,3,15,1,12,0,8,0,5,1,3,3]],\"%\":[24,[21,21,3,0,-1,-1,8,21,10,19,10,17,9,15,7,14,5,14,3,16,3,18,4,20,6,21,8,21,10,20,13,19,16,19,19,20,21,21,-1,-1,17,7,15,6,14,4,14,2,16,0,18,0,20,1,21,3,21,5,19,7,17,7]],\"&\":[26,[23,12,23,13,22,14,21,14,20,13,19,11,17,6,15,3,13,1,11,0,7,0,5,1,4,2,3,4,3,6,4,8,5,9,12,13,13,14,14,16,14,18,13,20,11,21,9,20,8,18,8,16,9,13,11,10,16,3,18,1,20,0,22,0,23,1,23,2]],\"'\":[10,[5,19,4,20,5,21,6,20,6,18,5,16,4,15]],\"(\":[14,[11,25,9,23,7,20,5,16,4,11,4,7,5,2,7,-2,9,-5,11,-7]],\")\":[14,[3,25,5,23,7,20,9,16,10,11,10,7,9,2,7,-2,5,-5,3,-7]],\"*\":[16,[8,21,8,9,-1,-1,3,18,13,12,-1,-1,13,18,3,12]],\"+\":[26,[13,18,13,0,-1,-1,4,9,22,9]],\",\":[10,[6,1,5,0,4,1,5,2,6,1,6,-1,5,-3,4,-4]],\"-\":[26,[4,9,22,9]],\".\":[10,[5,2,4,1,5,0,6,1,5,2]],\"/\":[22,[20,25,2,-7]],0:[20,[9,21,6,20,4,17,3,12,3,9,4,4,6,1,9,0,11,0,14,1,16,4,17,9,17,12,16,17,14,20,11,21,9,21]],1:[20,[6,17,8,18,11,21,11,0]],2:[20,[4,16,4,17,5,19,6,20,8,21,12,21,14,20,15,19,16,17,16,15,15,13,13,10,3,0,17,0]],3:[20,[5,21,16,21,10,13,13,13,15,12,16,11,17,8,17,6,16,3,14,1,11,0,8,0,5,1,4,2,3,4]],4:[20,[13,21,3,7,18,7,-1,-1,13,21,13,0]],5:[20,[15,21,5,21,4,12,5,13,8,14,11,14,14,13,16,11,17,8,17,6,16,3,14,1,11,0,8,0,5,1,4,2,3,4]],6:[20,[16,18,15,20,12,21,10,21,7,20,5,17,4,12,4,7,5,3,7,1,10,0,11,0,14,1,16,3,17,6,17,7,16,10,14,12,11,13,10,13,7,12,5,10,4,7]],7:[20,[17,21,7,0,-1,-1,3,21,17,21]],8:[20,[8,21,5,20,4,18,4,16,5,14,7,13,11,12,14,11,16,9,17,7,17,4,16,2,15,1,12,0,8,0,5,1,4,2,3,4,3,7,4,9,6,11,9,12,13,13,15,14,16,16,16,18,15,20,12,21,8,21]],9:[20,[16,14,15,11,13,9,10,8,9,8,6,9,4,11,3,14,3,15,4,18,6,20,9,21,10,21,13,20,15,18,16,14,16,9,15,4,13,1,10,0,8,0,5,1,4,3]],\":\":[10,[5,14,4,13,5,12,6,13,5,14,-1,-1,5,2,4,1,5,0,6,1,5,2]],\";\":[10,[5,14,4,13,5,12,6,13,5,14,-1,-1,6,1,5,0,4,1,5,2,6,1,6,-1,5,-3,4,-4]],\"<\":[24,[20,18,4,9,20,0]],\"=\":[26,[4,12,22,12,-1,-1,4,6,22,6]],\">\":[24,[4,18,20,9,4,0]],\"?\":[18,[3,16,3,17,4,19,5,20,7,21,11,21,13,20,14,19,15,17,15,15,14,13,13,12,9,10,9,7,-1,-1,9,2,8,1,9,0,10,1,9,2]],\"@\":[27,[18,13,17,15,15,16,12,16,10,15,9,14,8,11,8,8,9,6,11,5,14,5,16,6,17,8,-1,-1,12,16,10,14,9,11,9,8,10,6,11,5,-1,-1,18,16,17,8,17,6,19,5,21,5,23,7,24,10,24,12,23,15,22,17,20,19,18,20,15,21,12,21,9,20,7,19,5,17,4,15,3,12,3,9,4,6,5,4,7,2,9,1,12,0,15,0,18,1,20,2,21,3,-1,-1,19,16,18,8,18,6,19,5]],A:[18,[9,21,1,0,-1,-1,9,21,17,0,-1,-1,4,7,14,7]],B:[21,[4,21,4,0,-1,-1,4,21,13,21,16,20,17,19,18,17,18,15,17,13,16,12,13,11,-1,-1,4,11,13,11,16,10,17,9,18,7,18,4,17,2,16,1,13,0,4,0]],C:[21,[18,16,17,18,15,20,13,21,9,21,7,20,5,18,4,16,3,13,3,8,4,5,5,3,7,1,9,0,13,0,15,1,17,3,18,5]],D:[21,[4,21,4,0,-1,-1,4,21,11,21,14,20,16,18,17,16,18,13,18,8,17,5,16,3,14,1,11,0,4,0]],E:[19,[4,21,4,0,-1,-1,4,21,17,21,-1,-1,4,11,12,11,-1,-1,4,0,17,0]],F:[18,[4,21,4,0,-1,-1,4,21,17,21,-1,-1,4,11,12,11]],G:[21,[18,16,17,18,15,20,13,21,9,21,7,20,5,18,4,16,3,13,3,8,4,5,5,3,7,1,9,0,13,0,15,1,17,3,18,5,18,8,-1,-1,13,8,18,8]],H:[22,[4,21,4,0,-1,-1,18,21,18,0,-1,-1,4,11,18,11]],I:[8,[4,21,4,0]],J:[16,[12,21,12,5,11,2,10,1,8,0,6,0,4,1,3,2,2,5,2,7]],K:[21,[4,21,4,0,-1,-1,18,21,4,7,-1,-1,9,12,18,0]],L:[17,[4,21,4,0,-1,-1,4,0,16,0]],M:[24,[4,21,4,0,-1,-1,4,21,12,0,-1,-1,20,21,12,0,-1,-1,20,21,20,0]],N:[22,[4,21,4,0,-1,-1,4,21,18,0,-1,-1,18,21,18,0]],O:[22,[9,21,7,20,5,18,4,16,3,13,3,8,4,5,5,3,7,1,9,0,13,0,15,1,17,3,18,5,19,8,19,13,18,16,17,18,15,20,13,21,9,21]],P:[21,[4,21,4,0,-1,-1,4,21,13,21,16,20,17,19,18,17,18,14,17,12,16,11,13,10,4,10]],Q:[22,[9,21,7,20,5,18,4,16,3,13,3,8,4,5,5,3,7,1,9,0,13,0,15,1,17,3,18,5,19,8,19,13,18,16,17,18,15,20,13,21,9,21,-1,-1,12,4,18,-2]],R:[21,[4,21,4,0,-1,-1,4,21,13,21,16,20,17,19,18,17,18,15,17,13,16,12,13,11,4,11,-1,-1,11,11,18,0]],S:[20,[17,18,15,20,12,21,8,21,5,20,3,18,3,16,4,14,5,13,7,12,13,10,15,9,16,8,17,6,17,3,15,1,12,0,8,0,5,1,3,3]],T:[16,[8,21,8,0,-1,-1,1,21,15,21]],U:[22,[4,21,4,6,5,3,7,1,10,0,12,0,15,1,17,3,18,6,18,21]],V:[18,[1,21,9,0,-1,-1,17,21,9,0]],W:[24,[2,21,7,0,-1,-1,12,21,7,0,-1,-1,12,21,17,0,-1,-1,22,21,17,0]],X:[20,[3,21,17,0,-1,-1,17,21,3,0]],Y:[18,[1,21,9,11,9,0,-1,-1,17,21,9,11]],Z:[20,[17,21,3,0,-1,-1,3,21,17,21,-1,-1,3,0,17,0]],\"[\":[14,[4,25,4,-7,-1,-1,5,25,5,-7,-1,-1,4,25,11,25,-1,-1,4,-7,11,-7]],\"\\\\\":[14,[0,21,14,-3]],\"]\":[14,[9,25,9,-7,-1,-1,10,25,10,-7,-1,-1,3,25,10,25,-1,-1,3,-7,10,-7]],\"^\":[16,[6,15,8,18,10,15,-1,-1,3,12,8,17,13,12,-1,-1,8,17,8,0]],_:[16,[0,-2,16,-2]],\"`\":[10,[6,21,5,20,4,18,4,16,5,15,6,16,5,17]],a:[19,[15,14,15,0,-1,-1,15,11,13,13,11,14,8,14,6,13,4,11,3,8,3,6,4,3,6,1,8,0,11,0,13,1,15,3]],b:[19,[4,21,4,0,-1,-1,4,11,6,13,8,14,11,14,13,13,15,11,16,8,16,6,15,3,13,1,11,0,8,0,6,1,4,3]],c:[18,[15,11,13,13,11,14,8,14,6,13,4,11,3,8,3,6,4,3,6,1,8,0,11,0,13,1,15,3]],d:[19,[15,21,15,0,-1,-1,15,11,13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a,o,s,l,u,c,h,f,d=[];for(a=0,o=t.length;a<o;a++)if(u=n[t[a]]){for(f=null,s=0,l=u[1].length;s<l;s+=2)-1===u[1][s]&&-1===u[1][s+1]?f=null:(c=e+u[1][s]*i,h=r-u[1][s+1]*i,f&&d.push(f.x,f.y,c,h),f={x:c,y:h});e+=u[0]*i}return d}},{}],343:[function(t,e,r){\"use strict\";var n=e.exports={};n.version=t(\"../package.json\").version,n.Map=t(\"./ui/map\"),n.Control=t(\"./ui/control/control\"),n.Navigation=t(\"./ui/control/navigation\"),n.Geolocate=t(\"./ui/control/geolocate\"),n.Attribution=t(\"./ui/control/attribution\"),n.Popup=t(\"./ui/popup\"),n.Marker=t(\"./ui/marker\"),n.Style=t(\"./style/style\"),n.LngLat=t(\"./geo/lng_lat\"),n.LngLatBounds=t(\"./geo/lng_lat_bounds\"),n.Point=t(\"point-geometry\"),n.Evented=t(\"./util/evented\"),n.util=t(\"./util/util\"),n.supported=t(\"./util/browser\").supported;var i=t(\"./util/ajax\");n.util.getJSON=i.getJSON,n.util.getArrayBuffer=i.getArrayBuffer;var a=t(\"./util/config\");n.config=a,Object.defineProperty(n,\"accessToken\",{get:function(){return a.ACCESS_TOKEN},set:function(t){a.ACCESS_TOKEN=t}})},{\"../package.json\":444,\"./geo/lng_lat\":339,\"./geo/lng_lat_bounds\":340,\"./style/style\":378,\"./ui/control/attribution\":409,\"./ui/control/control\":410,\"./ui/control/geolocate\":411,\"./ui/control/navigation\":412,\"./ui/map\":421,\"./ui/marker\":422,\"./ui/popup\":423,\"./util/ajax\":425,\"./util/browser\":426,\"./util/config\":431,\"./util/evented\":434,\"./util/util\":442,\"point-geometry\":484}],344:[function(t,e,r){\"use strict\";var n=t(\"assert\");e.exports=function(t){for(var e={define:{},initialize:{}},r=0;r<t.length;r++){var i=t[r];n(\"u_\"===i.name.slice(0,2));var a=\"{precision} \"+(1===i.components?\"float\":\"vec\"+i.components);e.define[i.name.slice(2)]=\"uniform \"+a+\" \"+i.name+\";\\n\",e.initialize[i.name.slice(2)]=a+\" \"+i.name.slice(2)+\" = \"+i.name+\";\\n\"}return e}},{assert:47}],345:[function(t,e,r){\"use strict\";function n(t,e,r){var n,s=t.gl,l=t.transform,u=r.paint[\"background-color\"],c=r.paint[\"background-pattern\"],h=r.paint[\"background-opacity\"],f=c?t.spriteAtlas.getPosition(c.from,!0):null,d=c?t.spriteAtlas.getPosition(c.to,!0):null;if(t.setDepthSublayer(0),f&&d){if(t.isOpaquePass)return;n=t.useProgram(\"pattern\"),s.uniform1i(n.u_image,0),s.uniform2fv(n.u_pattern_tl_a,f.tl),s.uniform2fv(n.u_pattern_br_a,f.br),s.uniform2fv(n.u_pattern_tl_b,d.tl),s.uniform2fv(n.u_pattern_br_b,d.br),s.uniform1f(n.u_opacity,h),s.uniform1f(n.u_mix,c.t),s.uniform2fv(n.u_pattern_size_a,f.size),s.uniform2fv(n.u_pattern_size_b,d.size),s.uniform1f(n.u_scale_a,c.fromScale),s.uniform1f(n.u_scale_b,c.toScale),s.activeTexture(s.TEXTURE0),t.spriteAtlas.bind(s,!0),t.tileExtentPatternVAO.bind(s,n,t.tileExtentBuffer)}else{if(t.isOpaquePass!==(1===u[3]))return;var p=a([{name:\"u_color\",components:4},{name:\"u_opacity\",components:1}]);n=t.useProgram(\"fill\",[],p,p),s.uniform4fv(n.u_color,u),s.uniform1f(n.u_opacity,h),t.tileExtentVAO.bind(s,n,t.tileExtentBuffer)}s.disable(s.STENCIL_TEST);for(var m=l.coveringTiles({tileSize:o}),v=0;v<m.length;v++){var g=m[v];if(f&&d){var y={coord:g,tileSize:o};s.uniform1f(n.u_tile_units_to_pixels,1/i(y,1,t.transform.tileZoom));var b=y.tileSize*Math.pow(2,t.transform.tileZoom-y.coord.z),x=b*(y.coord.x+g.w*Math.pow(2,y.coord.z)),_=b*y.coord.y;s.uniform2f(n.u_pixel_coord_upper,x>>16,_>>16),s.uniform2f(n.u_pixel_coord_lower,65535&x,65535&_)}s.uniformMatrix4fv(n.u_matrix,!1,t.transform.calculatePosMatrix(g)),s.drawArrays(s.TRIANGLE_STRIP,0,t.tileExtentBuffer.length)}s.stencilMask(0),s.stencilFunc(s.EQUAL,128,128)}var i=t(\"../source/pixels_to_tile_units\"),a=t(\"./create_uniform_pragmas\"),o=512;e.exports=n},{\"../source/pixels_to_tile_units\":363,\"./create_uniform_pragmas\":344}],346:[function(t,e,r){\"use strict\";function n(t,e,r,n){if(!t.isOpaquePass){var a=t.gl;t.setDepthSublayer(0),t.depthMask(!1),a.disable(a.STENCIL_TEST);for(var o=0;o<n.length;o++){var s=n[o],l=e.getTile(s),u=l.getBucket(r);if(u){var c=u.bufferGroups.circle;if(c){var h=u.paintAttributes.circle[r.id],f=t.useProgram(\"circle\",h.defines,h.vertexPragmas,h.fragmentPragmas);\"map\"===r.paint[\"circle-pitch-scale\"]?(a.uniform1i(f.u_scale_with_map,!0),a.uniform2f(f.u_extrude_scale,t.transform.pixelsToGLUnits[0]*t.transform.altitude,t.transform.pixelsToGLUnits[1]*t.transform.altitude)):(a.uniform1i(f.u_scale_with_map,!1),a.uniform2fv(f.u_extrude_scale,t.transform.pixelsToGLUnits)),a.uniform1f(f.u_devicepixelratio,i.devicePixelRatio),a.uniformMatrix4fv(f.u_matrix,!1,t.translatePosMatrix(s.posMatrix,l,r.paint[\"circle-translate\"],r.paint[\"circle-translate-anchor\"])),u.setUniforms(a,\"circle\",f,r,{zoom:t.transform.zoom});for(var d=0;d<c.length;d++){var p=c[d];p.vaos[r.id].bind(a,f,p.layoutVertexBuffer,p.elementBuffer,p.paintVertexBuffers[r.id]),a.drawElements(a.TRIANGLES,3*p.elementBuffer.length,a.UNSIGNED_SHORT,0)}}}}}}var i=t(\"../util/browser\");e.exports=n},{\"../util/browser\":426}],347:[function(t,e,r){\"use strict\";function n(t,e,r,n){var i=t.gl;i.enable(i.STENCIL_TEST);for(var a=t.useProgram(\"collisionbox\"),o=0;o<n.length;o++){var s=n[o],l=e.getTile(s),u=l.getBucket(r);if(u){var c=u.bufferGroups.collisionBox;if(c&&c.length){var h=c[0];0!==h.layoutVertexBuffer.length&&(i.uniformMatrix4fv(a.u_matrix,!1,s.posMatrix),t.enableTileClippingMask(s),t.lineWidth(1),i.uniform1f(a.u_scale,Math.pow(2,t.transform.zoom-l.coord.z)),i.uniform1f(a.u_zoom,10*t.transform.zoom),i.uniform1f(a.u_maxzoom,10*(l.coord.z+1)),h.vaos[r.id].bind(i,a,h.layoutVertexBuffer),i.drawArrays(i.LINES,0,h.layoutVertexBuffer.length))}}}}e.exports=n},{}],348:[function(t,e,r){\"use strict\";function n(t,e,r){if(!t.isOpaquePass&&t.options.debug)for(var n=0;n<r.length;n++)i(t,e,r[n])}function i(t,e,r){var n=t.gl;n.disable(n.STENCIL_TEST),t.lineWidth(1*o.devicePixelRatio);var i=r.posMatrix,h=t.useProgram(\"debug\");n.uniformMatrix4fv(h.u_matrix,!1,i),n.uniform4f(h.u_color,1,0,0,1),t.debugVAO.bind(n,h,t.debugBuffer),n.drawArrays(n.LINE_STRIP,0,t.debugBuffer.length);for(var f=a(r.toString(),50,200,5),d=new t.PosArray,p=0;p<f.length;p+=2)d.emplaceBack(f[p],f[p+1]);var m=new u(d.serialize(),t.PosArray.serialize(),u.BufferType.VERTEX);(new c).bind(n,h,m),n.uniform4f(h.u_color,1,1,1,1);for(var v=e.getTile(r).tileSize,g=l/(Math.pow(2,t.transform.zoom-r.z)*v),y=[[-1,-1],[-1,1],[1,-1],[1,1]],b=0;b<y.length;b++){var x=y[b];n.uniformMatrix4fv(h.u_matrix,!1,s.translate([],i,[g*x[0],g*x[1],0])),n.drawArrays(n.LINES,0,m.length)}n.uniform4f(h.u_color,0,0,0,1),n.uniformMatrix4fv(h.u_matrix,!1,i),n.drawArrays(n.LINES,0,m.length)}var a=t(\"../lib/debugtext\"),o=t(\"../util/browser\"),s=t(\"gl-matrix\").mat4,l=t(\"../data/bucket\").EXTENT,u=t(\"../data/buffer\"),c=t(\"./vertex_array_object\");e.exports=n},{\"../data/bucket\":329,\"../data/buffer\":334,\"../lib/debugtext\":342,\"../util/browser\":426,\"./vertex_array_object\":357,\"gl-matrix\":193}],349:[function(t,e,r){\"use strict\";function n(t,e,r,n){var o=t.gl;o.enable(o.STENCIL_TEST);var s;if(s=!r.paint[\"fill-pattern\"]&&(r.isPaintValueFeatureConstant(\"fill-color\")&&r.isPaintValueFeatureConstant(\"fill-opacity\")&&1===r.paint[\"fill-color\"][3]&&1===r.paint[\"fill-opacity\"]),t.isOpaquePass===s){t.setDepthSublayer(1);for(var l=0;l<n.length;l++)i(t,e,r,n[l])}if(!t.isOpaquePass&&r.paint[\"fill-antialias\"]){t.lineWidth(2),t.depthMask(!1);var u=r.getPaintProperty(\"fill-outline-color\");(u||!r.paint[\"fill-pattern\"])&&u?t.setDepthSublayer(2):t.setDepthSublayer(0);for(var c=0;c<n.length;c++)a(t,e,r,n[c])}}function i(t,e,r,n){var i=e.getTile(n),a=i.getBucket(r);if(a){var s=a.bufferGroups.fill;if(s){var l,u=t.gl,c=r.paint[\"fill-pattern\"];if(c)l=t.useProgram(\"pattern\"),o(c,r.paint[\"fill-opacity\"],i,n,t,l),u.activeTexture(u.TEXTURE0),t.spriteAtlas.bind(u,!0);else{var h=a.paintAttributes.fill[r.id];l=t.useProgram(\"fill\",h.defines,h.vertexPragmas,h.fragmentPragmas),a.setUniforms(u,\"fill\",l,r,{zoom:t.transform.zoom})}u.uniformMatrix4fv(l.u_matrix,!1,t.translatePosMatrix(n.posMatrix,i,r.paint[\"fill-translate\"],r.paint[\"fill-translate-anchor\"])),t.enableTileClippingMask(n);for(var f=0;f<s.length;f++){var d=s[f];d.vaos[r.id].bind(u,l,d.layoutVertexBuffer,d.elementBuffer,d.paintVertexBuffers[r.id]),u.drawElements(u.TRIANGLES,d.elementBuffer.length,u.UNSIGNED_SHORT,0)}}}}function a(t,e,r,n){var i=e.getTile(n),a=i.getBucket(r);if(a){var s,l=t.gl,u=a.bufferGroups.fill,c=r.paint[\"fill-pattern\"],h=r.paint[\"fill-opacity\"],f=r.getPaintProperty(\"fill-outline-color\");if(c&&!f)s=t.useProgram(\"outlinepattern\"),l.uniform2f(s.u_world,l.drawingBufferWidth,l.drawingBufferHeight);else{var d=a.paintAttributes.fill[r.id];s=t.useProgram(\"outline\",d.defines,d.vertexPragmas,d.fragmentPragmas),l.uniform2f(s.u_world,l.drawingBufferWidth,l.drawingBufferHeight),l.uniform1f(s.u_opacity,h),a.setUniforms(l,\"fill\",s,r,{zoom:t.transform.zoom})}l.uniformMatrix4fv(s.u_matrix,!1,t.translatePosMatrix(n.posMatrix,i,r.paint[\"fill-translate\"],r.paint[\"fill-translate-anchor\"])),c&&o(c,h,i,n,t,s),t.enableTileClippingMask(n);for(var p=0;p<u.length;p++){var m=u[p];m.secondVaos[r.id].bind(l,s,m.layoutVertexBuffer,m.elementBuffer2,m.paintVertexBuffers[r.id]),l.drawElements(l.LINES,2*m.elementBuffer2.length,l.UNSIGNED_SHORT,0)}}}function o(t,e,r,n,i,a){var o=i.gl,l=i.spriteAtlas.getPosition(t.from,!0),u=i.spriteAtlas.getPosition(t.to,!0);if(l&&u){o.uniform1i(a.u_image,0),o.uniform2fv(a.u_pattern_tl_a,l.tl),o.uniform2fv(a.u_pattern_br_a,l.br),o.uniform2fv(a.u_pattern_tl_b,u.tl),o.uniform2fv(a.u_pattern_br_b,u.br),o.uniform1f(a.u_opacity,e),o.uniform1f(a.u_mix,t.t),o.uniform1f(a.u_tile_units_to_pixels,1/s(r,1,i.transform.tileZoom)),o.uniform2fv(a.u_pattern_size_a,l.size),o.uniform2fv(a.u_pattern_size_b,u.size),o.uniform1f(a.u_scale_a,t.fromScale),o.uniform1f(a.u_scale_b,t.toScale);var c=r.tileSize*Math.pow(2,i.transform.tileZoom-r.coord.z),h=c*(r.coord.x+n.w*Math.pow(2,r.coord.z)),f=c*r.coord.y;o.uniform2f(a.u_pixel_coord_upper,h>>16,f>>16),o.uniform2f(a.u_pixel_coord_lower,65535&h,65535&f),o.activeTexture(o.TEXTURE0),i.spriteAtlas.bind(o,!0)}}var s=t(\"../source/pixels_to_tile_units\");e.exports=n},{\"../source/pixels_to_tile_units\":363}],350:[function(t,e,r){\"use strict\";var n=t(\"../util/browser\"),i=t(\"gl-matrix\").mat2,a=t(\"../source/pixels_to_tile_units\");e.exports=function(t,e,r,o){if(!t.isOpaquePass){t.setDepthSublayer(0),t.depthMask(!1);var s=t.gl;if(s.enable(s.STENCIL_TEST),!(r.paint[\"line-width\"]<=0)){var l=1/n.devicePixelRatio,u=r.paint[\"line-blur\"]+l,c=r.paint[\"line-color\"],h=t.transform,f=i.create();i.scale(f,f,[1,Math.cos(h._pitch)]),i.rotate(f,f,t.transform.angle);var d,p,m,v,g,y=Math.sqrt(h.height*h.height/4*(1+h.altitude*h.altitude)),b=h.height/2*Math.tan(h._pitch),x=(y+b)/y-1,_=r.paint[\"line-dasharray\"],w=r.paint[\"line-pattern\"];if(_)d=t.useProgram(\"linesdfpattern\"),s.uniform1f(d.u_linewidth,r.paint[\"line-width\"]/2),s.uniform1f(d.u_gapwidth,r.paint[\"line-gap-width\"]/2),s.uniform1f(d.u_antialiasing,l/2),s.uniform1f(d.u_blur,u),s.uniform4fv(d.u_color,c),s.uniform1f(d.u_opacity,r.paint[\"line-opacity\"]),p=t.lineAtlas.getDash(_.from,\"round\"===r.layout[\"line-cap\"]),m=t.lineAtlas.getDash(_.to,\"round\"===r.layout[\"line-cap\"]),s.uniform1i(d.u_image,0),s.activeTexture(s.TEXTURE0),t.lineAtlas.bind(s),s.uniform1f(d.u_tex_y_a,p.y),s.uniform1f(d.u_tex_y_b,m.y),s.uniform1f(d.u_mix,_.t),s.uniform1f(d.u_extra,x),s.uniform1f(d.u_offset,-r.paint[\"line-offset\"]),s.uniformMatrix2fv(d.u_antialiasingmatrix,!1,f);else if(w){if(v=t.spriteAtlas.getPosition(w.from,!0),g=t.spriteAtlas.getPosition(w.to,!0),!v||!g)return;d=t.useProgram(\"linepattern\"),s.uniform1i(d.u_image,0),s.activeTexture(s.TEXTURE0),t.spriteAtlas.bind(s,!0),s.uniform1f(d.u_linewidth,r.paint[\"line-width\"]/2),s.uniform1f(d.u_gapwidth,r.paint[\"line-gap-width\"]/2),s.uniform1f(d.u_antialiasing,l/2),s.uniform1f(d.u_blur,u),s.uniform2fv(d.u_pattern_tl_a,v.tl),s.uniform2fv(d.u_pattern_br_a,v.br),s.uniform2fv(d.u_pattern_tl_b,g.tl),s.uniform2fv(d.u_pattern_br_b,g.br),s.uniform1f(d.u_fade,w.t),s.uniform1f(d.u_opacity,r.paint[\"line-opacity\"]),s.uniform1f(d.u_extra,x),s.uniform1f(d.u_offset,-r.paint[\"line-offset\"]),s.uniformMatrix2fv(d.u_antialiasingmatrix,!1,f)}else d=t.useProgram(\"line\"),s.uniform1f(d.u_linewidth,r.paint[\"line-width\"]/2),s.uniform1f(d.u_gapwidth,r.paint[\"line-gap-width\"]/2),s.uniform1f(d.u_antialiasing,l/2),s.uniform1f(d.u_blur,u),s.uniform1f(d.u_extra,x),s.uniform1f(d.u_offset,-r.paint[\"line-offset\"]),s.uniformMatrix2fv(d.u_antialiasingmatrix,!1,f),s.uniform4fv(d.u_color,c),s.uniform1f(d.u_opacity,r.paint[\"line-opacity\"]);for(var M=0;M<o.length;M++){var k=o[M],A=e.getTile(k),T=A.getBucket(r);if(T){var S=T.bufferGroups.line;if(S){t.enableTileClippingMask(k);var E=t.translatePosMatrix(k.posMatrix,A,r.paint[\"line-translate\"],r.paint[\"line-translate-anchor\"]);s.uniformMatrix4fv(d.u_matrix,!1,E);var L=1/a(A,1,t.transform.zoom);if(_){var C=p.width*_.fromScale,I=m.width*_.toScale,z=[1/a(A,C,t.transform.tileZoom),-p.height/2],D=[1/a(A,I,t.transform.tileZoom),-m.height/2],P=t.lineAtlas.width/(256*Math.min(C,I)*n.devicePixelRatio)/2;s.uniform1f(d.u_ratio,L),s.uniform2fv(d.u_patternscale_a,z),s.uniform2fv(d.u_patternscale_b,D),s.uniform1f(d.u_sdfgamma,P)}else w?(s.uniform1f(d.u_ratio,L),s.uniform2fv(d.u_pattern_size_a,[a(A,v.size[0]*w.fromScale,t.transform.tileZoom),g.size[1]]),s.uniform2fv(d.u_pattern_size_b,[a(A,g.size[0]*w.toScale,t.transform.tileZoom),g.size[1]])):s.uniform1f(d.u_ratio,L);for(var O=0;O<S.length;O++){var R=S[O];R.vaos[r.id].bind(s,d,R.layoutVertexBuffer,R.elementBuffer),s.drawElements(s.TRIANGLES,3*R.elementBuffer.length,s.UNSIGNED_SHORT,0)}}}}}}}},{\"../source/pixels_to_tile_units\":363,\"../util/browser\":426,\"gl-matrix\":193}],351:[function(t,e,r){\"use strict\";function n(t,e,r,n){if(!t.isOpaquePass){var a=t.gl;a.enable(a.DEPTH_TEST),t.depthMask(!0),a.depthFunc(a.LESS);for(var o=n.length&&n[0].z,s=0;s<n.length;s++){var l=n[s];t.setDepthSublayer(l.z-o),i(t,e,r,l)}a.depthFunc(a.LEQUAL)}}function i(t,e,r,n){var i=t.gl;i.disable(i.STENCIL_TEST);var u=e.getTile(n),c=t.transform.calculatePosMatrix(n,e.maxzoom),h=t.useProgram(\"raster\");i.uniformMatrix4fv(h.u_matrix,!1,c),i.uniform1f(h.u_brightness_low,r.paint[\"raster-brightness-min\"]),i.uniform1f(h.u_brightness_high,r.paint[\"raster-brightness-max\"]),i.uniform1f(h.u_saturation_factor,s(r.paint[\"raster-saturation\"])),i.uniform1f(h.u_contrast_factor,o(r.paint[\"raster-contrast\"])),i.uniform3fv(h.u_spin_weights,a(r.paint[\"raster-hue-rotate\"]));var f,d,p=u.source&&u.source.findLoadedParent(n,0,{}),m=l(u,p,r,t.transform);i.activeTexture(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,u.texture),i.activeTexture(i.TEXTURE1),p?(i.bindTexture(i.TEXTURE_2D,p.texture),f=Math.pow(2,p.coord.z-u.coord.z),d=[u.coord.x*f%1,u.coord.y*f%1]):(i.bindTexture(i.TEXTURE_2D,u.texture),m[1]=0),i.uniform2fv(h.u_tl_parent,d||[0,0]),i.uniform1f(h.u_scale_parent,f||1),i.uniform1f(h.u_buffer_scale,1),i.uniform1f(h.u_opacity0,m[0]),i.uniform1f(h.u_opacity1,m[1]),i.uniform1i(h.u_image0,0),i.uniform1i(h.u_image1,1);var v=u.boundsBuffer||t.rasterBoundsBuffer;(u.boundsVAO||t.rasterBoundsVAO).bind(i,h,v),i.drawArrays(i.TRIANGLE_STRIP,0,v.length)}function a(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}function o(t){return t>0?1/(1-t):1+t}function s(t){return t>0?1-1/(1.001-t):-t}function l(t,e,r,n){var i=[1,0],a=r.paint[\"raster-fade-duration\"];if(t.source&&a>0){var o=(new Date).getTime(),s=(o-t.timeAdded)/a,l=e?(o-e.timeAdded)/a:-1,c=n.coveringZoomLevel(t.source),h=!!e&&Math.abs(e.coord.z-c)>Math.abs(t.coord.z-c);!e||h?(i[0]=u.clamp(s,0,1),i[1]=1-i[0]):(i[0]=u.clamp(1-l,0,1),i[1]=1-i[0])}var f=r.paint[\"raster-opacity\"];return i[0]*=f,i[1]*=f,i}var u=t(\"../util/util\"),c=t(\"../util/struct_array\");e.exports=n,n.RasterBoundsArray=new c({members:[{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]})},{\"../util/struct_array\":440,\"../util/util\":442}],352:[function(t,e,r){\"use strict\";function n(t,e,r,n){if(!t.isOpaquePass){var a=!(r.layout[\"text-allow-overlap\"]||r.layout[\"icon-allow-overlap\"]||r.layout[\"text-ignore-placement\"]||r.layout[\"icon-ignore-placement\"]),o=t.gl;a?o.disable(o.STENCIL_TEST):o.enable(o.STENCIL_TEST),t.setDepthSublayer(0),t.depthMask(!1),o.disable(o.DEPTH_TEST),i(t,e,r,n,!1,r.paint[\"icon-translate\"],r.paint[\"icon-translate-anchor\"],r.layout[\"icon-rotation-alignment\"],r.layout[\"icon-rotation-alignment\"],r.layout[\"icon-size\"],r.paint[\"icon-halo-width\"],r.paint[\"icon-halo-color\"],r.paint[\"icon-halo-blur\"],r.paint[\"icon-opacity\"],r.paint[\"icon-color\"]),\n",
       "i(t,e,r,n,!0,r.paint[\"text-translate\"],r.paint[\"text-translate-anchor\"],r.layout[\"text-rotation-alignment\"],r.layout[\"text-pitch-alignment\"],r.layout[\"text-size\"],r.paint[\"text-halo-width\"],r.paint[\"text-halo-color\"],r.paint[\"text-halo-blur\"],r.paint[\"text-opacity\"],r.paint[\"text-color\"]),o.enable(o.DEPTH_TEST),e.map.showCollisionBoxes&&s(t,e,r,n)}}function i(t,e,r,n,i,o,s,l,u,c,h,f,d,p,m){for(var v=0;v<n.length;v++){var g=e.getTile(n[v]),y=g.getBucket(r);if(y){var b=y.bufferGroups,x=i?b.glyph:b.icon;x.length&&(t.enableTileClippingMask(n[v]),a(t,r,n[v].posMatrix,g,y,x,i,i||y.sdfIcons,!i&&y.iconsNeedLinear,i?y.adjustedTextSize:y.adjustedIconSize,y.fontstack,o,s,l,u,c,h,f,d,p,m))}}}function a(t,e,r,n,i,a,s,u,c,h,f,d,p,m,v,g,y,b,x,_,w){var M,k,A,T=t.gl,S=t.transform,E=\"map\"===m,L=\"map\"===v,C=s?24:1,I=g/C;if(L?(k=l(n,1,t.transform.zoom)*I,A=1/Math.cos(S._pitch),M=[k,k]):(k=t.transform.altitude*I,A=1,M=[S.pixelsToGLUnits[0]*k,S.pixelsToGLUnits[1]*k]),s||t.style.sprite.loaded()){var z=t.useProgram(u?\"sdf\":\"icon\");if(T.uniformMatrix4fv(z.u_matrix,!1,t.translatePosMatrix(r,n,d,p)),T.uniform1i(z.u_rotate_with_map,E),T.uniform1i(z.u_pitch_with_map,L),T.uniform2fv(z.u_extrude_scale,M),T.activeTexture(T.TEXTURE0),T.uniform1i(z.u_texture,0),s){var D=f&&t.glyphSource.getGlyphAtlas(f);if(!D)return;D.updateTexture(T),T.uniform2f(z.u_texsize,D.width/4,D.height/4)}else{var P=t.options.rotating||t.options.zooming,O=1!==I||o.devicePixelRatio!==t.spriteAtlas.pixelRatio||c,R=L||t.transform.pitch;t.spriteAtlas.bind(T,u||P||O||R),T.uniform2f(z.u_texsize,t.spriteAtlas.width/4,t.spriteAtlas.height/4)}var F=Math.log(g/h)/Math.LN2||0;T.uniform1f(z.u_zoom,10*(t.transform.zoom-F)),T.activeTexture(T.TEXTURE1),t.frameHistory.bind(T),T.uniform1i(z.u_fadetexture,1);var j;if(u){var N=.105*C/g/o.devicePixelRatio;if(y){T.uniform1f(z.u_gamma,(1.19*x/I/8+N)*A),T.uniform4fv(z.u_color,b),T.uniform1f(z.u_opacity,_),T.uniform1f(z.u_buffer,(6-y/I)/8);for(var B=0;B<a.length;B++)j=a[B],j.vaos[e.id].bind(T,z,j.layoutVertexBuffer,j.elementBuffer),T.drawElements(T.TRIANGLES,3*j.elementBuffer.length,T.UNSIGNED_SHORT,0)}T.uniform1f(z.u_gamma,N*A),T.uniform4fv(z.u_color,w),T.uniform1f(z.u_opacity,_),T.uniform1f(z.u_buffer,.75),T.uniform1f(z.u_pitch,S.pitch/360*2*Math.PI),T.uniform1f(z.u_bearing,S.bearing/360*2*Math.PI),T.uniform1f(z.u_aspect_ratio,S.width/S.height);for(var U=0;U<a.length;U++)j=a[U],j.vaos[e.id].bind(T,z,j.layoutVertexBuffer,j.elementBuffer),T.drawElements(T.TRIANGLES,3*j.elementBuffer.length,T.UNSIGNED_SHORT,0)}else{T.uniform1f(z.u_opacity,_);for(var V=0;V<a.length;V++)j=a[V],j.vaos[e.id].bind(T,z,j.layoutVertexBuffer,j.elementBuffer),T.drawElements(T.TRIANGLES,3*j.elementBuffer.length,T.UNSIGNED_SHORT,0)}}}var o=t(\"../util/browser\"),s=t(\"./draw_collision_debug\"),l=t(\"../source/pixels_to_tile_units\");e.exports=n},{\"../source/pixels_to_tile_units\":363,\"../util/browser\":426,\"./draw_collision_debug\":347}],353:[function(t,e,r){\"use strict\";function n(){this.changeTimes=new Float64Array(256),this.changeOpacities=new Uint8Array(256),this.opacities=new Uint8ClampedArray(256),this.array=new Uint8Array(this.opacities.buffer),this.fadeDuration=300,this.previousZoom=0,this.firstFrame=!0}e.exports=n,n.prototype.record=function(t){var e=Date.now();this.firstFrame&&(e=0,this.firstFrame=!1),t=Math.floor(10*t);var r;if(t<this.previousZoom)for(r=t+1;r<=this.previousZoom;r++)this.changeTimes[r]=e,this.changeOpacities[r]=this.opacities[r];else for(r=t;r>this.previousZoom;r--)this.changeTimes[r]=e,this.changeOpacities[r]=this.opacities[r];for(r=0;r<256;r++){var n=e-this.changeTimes[r],i=n/this.fadeDuration*255;this.opacities[r]=r<=t?this.changeOpacities[r]+i:this.changeOpacities[r]-i}this.changed=!0,this.previousZoom=t},n.prototype.bind=function(t){this.texture?(t.bindTexture(t.TEXTURE_2D,this.texture),this.changed&&(t.texSubImage2D(t.TEXTURE_2D,0,0,0,256,1,t.ALPHA,t.UNSIGNED_BYTE,this.array),this.changed=!1)):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),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),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texImage2D(t.TEXTURE_2D,0,t.ALPHA,256,1,0,t.ALPHA,t.UNSIGNED_BYTE,this.array))}},{}],354:[function(t,e,r){\"use strict\";function n(t,e){this.width=t,this.height=e,this.nextRow=0,this.bytes=4,this.data=new Uint8Array(this.width*this.height*this.bytes),this.positions={}}var i=t(\"../util/util\");e.exports=n,n.prototype.setSprite=function(t){this.sprite=t},n.prototype.getDash=function(t,e){var r=t.join(\",\")+e;return this.positions[r]||(this.positions[r]=this.addDash(t,e)),this.positions[r]},n.prototype.addDash=function(t,e){var r=e?7:0,n=2*r+1;if(this.nextRow+n>this.height)return i.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<t.length;o++)a+=t[o];for(var s=this.width/a,l=s/2,u=t.length%2==1,c=-r;c<=r;c++)for(var h=this.nextRow+r+c,f=this.width*h,d=u?-t[t.length-1]:0,p=t[0],m=1,v=0;v<this.width;v++){for(;p<v/s;)d=p,p+=t[m],u&&m===t.length-1&&(p+=t[0]),m++;var g,y=Math.abs(v-d*s),b=Math.abs(v-p*s),x=Math.min(y,b),_=m%2==1;if(e){var w=r?c/r*(l+1):0;if(_){var M=l-Math.abs(w);g=Math.sqrt(x*x+M*M)}else g=l-Math.sqrt(x*x+w*w)}else g=(_?1:-1)*x;this.data[3+4*(f+v)]=Math.max(0,Math.min(255,g+128))}var k={y:(this.nextRow+r+.5)/this.height,height:2*r/this.height,width:a};return this.nextRow+=n,this.dirty=!0,k},n.prototype.bind=function(t){this.texture?(t.bindTexture(t.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,t.texSubImage2D(t.TEXTURE_2D,0,0,0,this.width,this.height,t.RGBA,t.UNSIGNED_BYTE,this.data))):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.REPEAT),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.REPEAT),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.LINEAR),t.texImage2D(t.TEXTURE_2D,0,t.RGBA,this.width,this.height,0,t.RGBA,t.UNSIGNED_BYTE,this.data))}},{\"../util/util\":442}],355:[function(t,e,r){\"use strict\";function n(t,e){this.gl=t,this.transform=e,this.reusableTextures={},this.preFbos={},this.frameHistory=new o,this.setup(),this.numSublayers=s.maxUnderzooming+s.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.lineWidthRange=t.getParameter(t.ALIASED_LINE_WIDTH_RANGE)}var i=t(\"../util/browser\"),a=t(\"gl-matrix\").mat4,o=t(\"./frame_history\"),s=t(\"../source/source_cache\"),l=t(\"../data/bucket\").EXTENT,u=t(\"../source/pixels_to_tile_units\"),c=t(\"../util/util\"),h=t(\"../util/struct_array\"),f=t(\"../data/buffer\"),d=t(\"./vertex_array_object\"),p=t(\"./draw_raster\").RasterBoundsArray,m=t(\"./create_uniform_pragmas\");e.exports=n,c.extend(n.prototype,t(\"./painter/use_program\")),n.prototype.resize=function(t,e){var r=this.gl;this.width=t*i.devicePixelRatio,this.height=e*i.devicePixelRatio,r.viewport(0,0,this.width,this.height)},n.prototype.setup=function(){var t=this.gl;t.verbose=!0,t.enable(t.BLEND),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),t.enable(t.STENCIL_TEST),t.enable(t.DEPTH_TEST),t.depthFunc(t.LEQUAL),this._depthMask=!1,t.depthMask(!1);var e=this.PosArray=new h({members:[{name:\"a_pos\",type:\"Int16\",components:2}]}),r=new e;r.emplaceBack(0,0),r.emplaceBack(l,0),r.emplaceBack(0,l),r.emplaceBack(l,l),this.tileExtentBuffer=new f(r.serialize(),e.serialize(),f.BufferType.VERTEX),this.tileExtentVAO=new d,this.tileExtentPatternVAO=new d;var n=new e;n.emplaceBack(0,0),n.emplaceBack(l,0),n.emplaceBack(l,l),n.emplaceBack(0,l),n.emplaceBack(0,0),this.debugBuffer=new f(n.serialize(),e.serialize(),f.BufferType.VERTEX),this.debugVAO=new d;var i=new p;i.emplaceBack(0,0,0,0),i.emplaceBack(l,0,32767,0),i.emplaceBack(0,l,0,32767),i.emplaceBack(l,l,32767,32767),this.rasterBoundsBuffer=new f(i.serialize(),p.serialize(),f.BufferType.VERTEX),this.rasterBoundsVAO=new d},n.prototype.clearColor=function(){var t=this.gl;t.clearColor(0,0,0,0),t.clear(t.COLOR_BUFFER_BIT)},n.prototype.clearStencil=function(){var t=this.gl;t.clearStencil(0),t.stencilMask(255),t.clear(t.STENCIL_BUFFER_BIT)},n.prototype.clearDepth=function(){var t=this.gl;t.clearDepth(1),this.depthMask(!0),t.clear(t.DEPTH_BUFFER_BIT)},n.prototype._renderTileClippingMasks=function(t){var e=this.gl;e.colorMask(!1,!1,!1,!1),this.depthMask(!1),e.disable(e.DEPTH_TEST),e.enable(e.STENCIL_TEST),e.stencilMask(248),e.stencilOp(e.KEEP,e.KEEP,e.REPLACE);var r=1;this._tileClippingMaskIDs={};for(var n=0;n<t.length;n++){var i=t[n],a=this._tileClippingMaskIDs[i.id]=r++<<3;e.stencilFunc(e.ALWAYS,a,248);var o=m([{name:\"u_color\",components:4},{name:\"u_opacity\",components:1}]),s=this.useProgram(\"fill\",[],o,o);e.uniformMatrix4fv(s.u_matrix,!1,i.posMatrix),this.tileExtentVAO.bind(e,s,this.tileExtentBuffer),e.drawArrays(e.TRIANGLE_STRIP,0,this.tileExtentBuffer.length)}e.stencilMask(0),e.colorMask(!0,!0,!0,!0),this.depthMask(!0),e.enable(e.DEPTH_TEST)},n.prototype.enableTileClippingMask=function(t){var e=this.gl;e.stencilFunc(e.EQUAL,this._tileClippingMaskIDs[t.id],248)},n.prototype.prepareBuffers=function(){},n.prototype.bindDefaultFramebuffer=function(){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,null)};var v={symbol:t(\"./draw_symbol\"),circle:t(\"./draw_circle\"),line:t(\"./draw_line\"),fill:t(\"./draw_fill\"),raster:t(\"./draw_raster\"),background:t(\"./draw_background\"),debug:t(\"./draw_debug\")};n.prototype.render=function(t,e){this.style=t,this.options=e,this.lineAtlas=t.lineAtlas,this.spriteAtlas=t.spriteAtlas,this.spriteAtlas.setSprite(t.sprite),this.glyphSource=t.glyphSource,this.frameHistory.record(this.transform.zoom),this.prepareBuffers(),this.clearColor(),this.clearDepth(),this.showOverdrawInspector(e.showOverdrawInspector),this.depthRange=(t._order.length+2)*this.numSublayers*this.depthEpsilon,this.renderPass({isOpaquePass:!0}),this.renderPass({isOpaquePass:!1})},n.prototype.renderPass=function(t){var e=this.style._groups,r=t.isOpaquePass;this.currentLayer=r?this.style._order.length:-1;for(var n=0;n<e.length;n++){var i,a=e[r?e.length-1-n:n],o=this.style.sources[a.source],s=[];if(o){for(s=o.getVisibleCoordinates(),i=0;i<s.length;i++)s[i].posMatrix=this.transform.calculatePosMatrix(s[i],o.maxzoom);this.clearStencil(),o.prepare&&o.prepare(),o.isTileClipped&&this._renderTileClippingMasks(s)}for(r?(this._showOverdrawInspector||this.gl.disable(this.gl.BLEND),this.isOpaquePass=!0):(this.gl.enable(this.gl.BLEND),this.isOpaquePass=!1,s.reverse()),i=0;i<a.length;i++){var l=a[r?a.length-1-i:i];this.currentLayer+=r?-1:1,this.renderLayer(this,o,l,s)}o&&v.debug(this,o,s)}},n.prototype.depthMask=function(t){t!==this._depthMask&&(this._depthMask=t,this.gl.depthMask(t))},n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||n.length)&&(this.id=r.id,v[r.type](t,e,r,n))},n.prototype.setDepthSublayer=function(t){var e=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon,r=e-1+this.depthRange;this.gl.depthRange(r,e)},n.prototype.translatePosMatrix=function(t,e,r,n){if(!r[0]&&!r[1])return t;if(\"viewport\"===n){var i=Math.sin(-this.transform.angle),o=Math.cos(-this.transform.angle);r=[r[0]*o-r[1]*i,r[0]*i+r[1]*o]}var s=[u(e,r[0],this.transform.zoom),u(e,r[1],this.transform.zoom),0],l=new Float32Array(16);return a.translate(l,t,s),l},n.prototype.saveTexture=function(t){var e=this.reusableTextures[t.size];e?e.push(t):this.reusableTextures[t.size]=[t]},n.prototype.getTexture=function(t){var e=this.reusableTextures[t];return e&&e.length>0?e.pop():null},n.prototype.lineWidth=function(t){this.gl.lineWidth(c.clamp(t,this.lineWidthRange[0],this.lineWidthRange[1]))},n.prototype.showOverdrawInspector=function(t){if(t||this._showOverdrawInspector){this._showOverdrawInspector=t;var e=this.gl;if(t){e.blendFunc(e.CONSTANT_COLOR,e.ONE);e.blendColor(1/8,1/8,1/8,0),e.clearColor(0,0,0,1),e.clear(e.COLOR_BUFFER_BIT)}else e.blendFunc(e.ONE,e.ONE_MINUS_SRC_ALPHA)}}},{\"../data/bucket\":329,\"../data/buffer\":334,\"../source/pixels_to_tile_units\":363,\"../source/source_cache\":367,\"../util/browser\":426,\"../util/struct_array\":440,\"../util/util\":442,\"./create_uniform_pragmas\":344,\"./draw_background\":345,\"./draw_circle\":346,\"./draw_debug\":348,\"./draw_fill\":349,\"./draw_line\":350,\"./draw_raster\":351,\"./draw_symbol\":352,\"./frame_history\":353,\"./painter/use_program\":356,\"./vertex_array_object\":357,\"gl-matrix\":193}],356:[function(t,e,r){\"use strict\";function n(t,e){return t.replace(/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,function(t,r,n,i,a){return e[r][a].replace(/{type}/g,i).replace(/{precision}/g,n)})}var i=t(\"assert\"),a=t(\"../../util/util\"),o=t(\"mapbox-gl-shaders\"),s=o.util;e.exports._createProgram=function(t,e,r,l){for(var u=this.gl,c=u.createProgram(),h=o[t],f=\"#define MAPBOX_GL_JS;\\n\",d=0;d<e.length;d++)f+=\"#define \"+e[d]+\";\\n\";var p=u.createShader(u.FRAGMENT_SHADER);u.shaderSource(p,n(f+h.fragmentSource,l)),u.compileShader(p),i(u.getShaderParameter(p,u.COMPILE_STATUS),u.getShaderInfoLog(p)),u.attachShader(c,p);var m=u.createShader(u.VERTEX_SHADER);u.shaderSource(m,n(f+s+h.vertexSource,r)),u.compileShader(m),i(u.getShaderParameter(m,u.COMPILE_STATUS),u.getShaderInfoLog(m)),u.attachShader(c,m),u.linkProgram(c),i(u.getProgramParameter(c,u.LINK_STATUS),u.getProgramInfoLog(c));for(var v={},g=u.getProgramParameter(c,u.ACTIVE_ATTRIBUTES),y=0;y<g;y++){var b=u.getActiveAttrib(c,y);v[b.name]=u.getAttribLocation(c,b.name)}for(var x={},_=u.getProgramParameter(c,u.ACTIVE_UNIFORMS),w=0;w<_;w++){var M=u.getActiveUniform(c,w);x[M.name]=u.getUniformLocation(c,M.name)}return a.extend({program:c,definition:h,attributes:v,numAttributes:g},v,x)},e.exports._createProgramCached=function(t,e,r,n){this.cache=this.cache||{};var i=JSON.stringify({name:t,defines:e,vertexPragmas:r,fragmentPragmas:n});return this.cache[i]||(this.cache[i]=this._createProgram(t,e,r,n)),this.cache[i]},e.exports.useProgram=function(t,e,r,n){var i=this.gl;e=e||[],this._showOverdrawInspector&&(e=e.concat(\"OVERDRAW_INSPECTOR\"));var a=this._createProgramCached(t,e,r,n);return this.currentProgram!==a&&(i.useProgram(a.program),this.currentProgram=a),a}},{\"../../util/util\":442,assert:47,\"mapbox-gl-shaders\":303}],357:[function(t,e,r){\"use strict\";function n(){this.boundProgram=null,this.boundVertexBuffer=null,this.boundVertexBuffer2=null,this.boundElementBuffer=null,this.vao=null}var i=t(\"assert\");e.exports=n,n.prototype.bind=function(t,e,r,n,i){void 0===t.extVertexArrayObject&&(t.extVertexArrayObject=t.getExtension(\"OES_vertex_array_object\"));var a=!this.vao||this.boundProgram!==e||this.boundVertexBuffer!==r||this.boundVertexBuffer2!==i||this.boundElementBuffer!==n;!t.extVertexArrayObject||a?this.freshBind(t,e,r,n,i):t.extVertexArrayObject.bindVertexArrayOES(this.vao)},n.prototype.freshBind=function(t,e,r,n,a){var o,s=e.numAttributes;if(t.extVertexArrayObject)this.vao&&this.destroy(t),this.vao=t.extVertexArrayObject.createVertexArrayOES(),t.extVertexArrayObject.bindVertexArrayOES(this.vao),o=0,this.boundProgram=e,this.boundVertexBuffer=r,this.boundVertexBuffer2=a,this.boundElementBuffer=n;else{o=t.currentNumAttributes||0;for(var l=s;l<o;l++)i(0!==l),t.disableVertexAttribArray(l)}for(var u=o;u<s;u++)t.enableVertexAttribArray(u);r.bind(t),r.setVertexAttribPointers(t,e),a&&(a.bind(t),a.setVertexAttribPointers(t,e)),n&&n.bind(t),t.currentNumAttributes=s},n.prototype.unbind=function(t){var e=t.extVertexArrayObject;e&&e.bindVertexArrayOES(null)},n.prototype.destroy=function(t){var e=t.extVertexArrayObject;e&&this.vao&&(e.deleteVertexArrayOES(this.vao),this.vao=null)}},{assert:47}],358:[function(t,e,r){\"use strict\";function n(t,e,r){e=e||{},this.id=t,this.dispatcher=r,this._data=e.data,void 0!==e.maxzoom&&(this.maxzoom=e.maxzoom),e.type&&(this.type=e.type);var n=s/this.tileSize;this.workerOptions=a.extend({source:this.id,cluster:e.cluster||!1,geojsonVtOptions:{buffer:(void 0!==e.buffer?e.buffer:128)*n,tolerance:(void 0!==e.tolerance?e.tolerance:.375)*n,extent:s,maxZoom:this.maxzoom},superclusterOptions:{maxZoom:Math.min(e.clusterMaxZoom,this.maxzoom-1)||this.maxzoom-1,extent:s,radius:(e.clusterRadius||50)*n,log:!1}},e.workerOptions),this._updateWorkerData(function(t){if(t)return void this.fire(\"error\",{error:t});this.fire(\"load\")}.bind(this))}var i=t(\"../util/evented\"),a=t(\"../util/util\"),o=t(\"resolve-url\"),s=t(\"../data/bucket\").EXTENT;e.exports=n,n.prototype=a.inherit(i,{type:\"geojson\",minzoom:0,maxzoom:18,tileSize:512,isTileClipped:!0,reparseOverscaled:!0,onAdd:function(t){this.map=t},setData:function(t){return this._data=t,this._updateWorkerData(function(t){if(t)return this.fire(\"error\",{error:t});this.fire(\"change\")}.bind(this)),this},_updateWorkerData:function(t){var e=a.extend({},this.workerOptions),r=this._data;\"string\"==typeof r?e.url=\"undefined\"!=typeof window?o(window.location.href,r):r:e.data=JSON.stringify(r),this.workerID=this.dispatcher.send(this.type+\".loadData\",e,function(e){this._loaded=!0,t(e)}.bind(this))},loadTile:function(t,e){var r=t.coord.z>this.maxzoom?Math.pow(2,t.coord.z-this.maxzoom):1,n={type:this.type,uid:t.uid,coord:t.coord,zoom:t.coord.z,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,overscaling:r,angle:this.map.transform.angle,pitch:this.map.transform.pitch,showCollisionBoxes:this.map.showCollisionBoxes};t.workerID=this.dispatcher.send(\"load tile\",n,function(r,n){if(t.unloadVectorData(this.map.painter),!t.aborted)return r?e(r):(t.loadVectorData(n,this.map.style),t.redoWhenDone&&(t.redoWhenDone=!1,t.redoPlacement(this)),e(null))}.bind(this),this.workerID)},abortTile:function(t){t.aborted=!0},unloadTile:function(t){t.unloadVectorData(this.map.painter),this.dispatcher.send(\"remove tile\",{uid:t.uid,source:this.id},function(){},t.workerID)},serialize:function(){return{type:this.type,data:this._data}}})},{\"../data/bucket\":329,\"../util/evented\":434,\"../util/util\":442,\"resolve-url\":501}],359:[function(t,e,r){\"use strict\";function n(t,e,r){r&&(this.loadGeoJSON=r),h.call(this,t,e)}var i=t(\"../util/util\"),a=t(\"../util/ajax\"),o=t(\"geojson-rewind\"),s=t(\"./geojson_wrapper\"),l=t(\"vt-pbf\"),u=t(\"supercluster\"),c=t(\"geojson-vt\"),h=t(\"./vector_tile_worker_source\");e.exports=n,n.prototype=i.inherit(h,{_geoJSONIndexes:{},loadVectorData:function(t,e){var r=t.source,n=t.coord;if(!this._geoJSONIndexes[r])return e(null,null);var i=this._geoJSONIndexes[r].getTile(Math.min(n.z,t.maxZoom),n.x,n.y);if(!i)return e(null,null);var a=new s(i.features);a.name=\"_geojsonTileLayer\";var o=l({layers:{_geojsonTileLayer:a}});0===o.byteOffset&&o.byteLength===o.buffer.byteLength||(o=new Uint8Array(o)),e(null,{tile:a,rawTileData:o.buffer})},loadData:function(t,e){var r=function(r,n){return r?e(r):\"object\"!=typeof n?e(new Error(\"Input data is not a valid GeoJSON object.\")):(o(n,!0),void this._indexData(n,t,function(r,n){if(r)return e(r);this._geoJSONIndexes[t.source]=n,e(null)}.bind(this)))}.bind(this);this.loadGeoJSON(t,r)},loadGeoJSON:function(t,e){if(t.url)a.getJSON(t.url,e);else{if(\"string\"!=typeof t.data)return e(new Error(\"Input data is not a valid GeoJSON object.\"));try{return e(null,JSON.parse(t.data))}catch(t){return e(new Error(\"Input data is not a valid GeoJSON object.\"))}}},_indexData:function(t,e,r){try{e.cluster?r(null,u(e.superclusterOptions).load(t.features)):r(null,c(t,e.geojsonVtOptions))}catch(t){return r(t)}}})},{\"../util/ajax\":425,\"../util/util\":442,\"./geojson_wrapper\":360,\"./vector_tile_worker_source\":371,\"geojson-rewind\":138,\"geojson-vt\":142,supercluster:529,\"vt-pbf\":556}],360:[function(t,e,r){\"use strict\";function n(t){this.features=t,this.length=t.length,this.extent=s}function i(t){if(this.type=t.type,1===t.type){this.rawGeometry=[];for(var e=0;e<t.geometry.length;e++)this.rawGeometry.push([t.geometry[e]])}else this.rawGeometry=t.geometry;this.properties=t.tags,this.extent=s}var a=t(\"point-geometry\"),o=t(\"vector-tile\").VectorTileFeature,s=t(\"../data/bucket\").EXTENT;e.exports=n,n.prototype.feature=function(t){return new i(this.features[t])},i.prototype.loadGeometry=function(){var t=this.rawGeometry;this.geometry=[];for(var e=0;e<t.length;e++){for(var r=t[e],n=[],i=0;i<r.length;i++)n.push(new a(r[i][0],r[i][1]));this.geometry.push(n)}return this.geometry},i.prototype.bbox=function(){this.geometry||this.loadGeometry();for(var t=this.geometry,e=1/0,r=-1/0,n=1/0,i=-1/0,a=0;a<t.length;a++)for(var o=t[a],s=0;s<o.length;s++){var l=o[s];e=Math.min(e,l.x),r=Math.max(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.y)}return[e,n,r,i]},i.prototype.toGeoJSON=o.prototype.toGeoJSON},{\"../data/bucket\":329,\"point-geometry\":484,\"vector-tile\":550}],361:[function(t,e,r){\"use strict\";function n(t,e,r){this.id=t,this.dispatcher=r,this.url=e.url,this.coordinates=e.coordinates,u.getImage(e.url,function(t,r){if(t)return this.fire(\"error\",{error:t});this.image=r,this.image.addEventListener(\"load\",function(){this.map._rerender()}.bind(this)),this._loaded=!0,this.fire(\"load\"),this.map&&this.setCoordinates(e.coordinates)}.bind(this))}var i=t(\"../util/util\"),a=t(\"./tile_coord\"),o=t(\"../geo/lng_lat\"),s=t(\"point-geometry\"),l=t(\"../util/evented\"),u=t(\"../util/ajax\"),c=t(\"../data/bucket\").EXTENT,h=t(\"../render/draw_raster\").RasterBoundsArray,f=t(\"../data/buffer\"),d=t(\"../render/vertex_array_object\");e.exports=n,n.prototype=i.inherit(l,{minzoom:0,maxzoom:22,tileSize:512,onAdd:function(t){this.map=t,this.image&&this.setCoordinates(this.coordinates)},setCoordinates:function(t){this.coordinates=t;var e=this.map,r=t.map(function(t){return e.transform.locationCoordinate(o.convert(t)).zoomTo(0)}),n=this.centerCoord=i.getCoordinatesCenter(r);return n.column=Math.round(n.column),n.row=Math.round(n.row),this.minzoom=this.maxzoom=n.zoom,this._coord=new a(n.zoom,n.column,n.row),this._tileCoords=r.map(function(t){var e=t.zoomTo(n.zoom);return new s(Math.round((e.column-n.column)*c),Math.round((e.row-n.row)*c))}),this.fire(\"change\"),this},_setTile:function(t){this._prepared=!1,this.tile=t;var e=new h;e.emplaceBack(this._tileCoords[0].x,this._tileCoords[0].y,0,0),e.emplaceBack(this._tileCoords[1].x,this._tileCoords[1].y,32767,0),e.emplaceBack(this._tileCoords[3].x,this._tileCoords[3].y,0,32767),e.emplaceBack(this._tileCoords[2].x,this._tileCoords[2].y,32767,32767),this.tile.buckets={},this.tile.boundsBuffer=new f(e.serialize(),h.serialize(),f.BufferType.VERTEX),this.tile.boundsVAO=new d,this.tile.state=\"loaded\"},prepare:function(){if(this._loaded&&this.image&&this.image.complete&&this.tile){var t=this.map.painter,e=t.gl;this._prepared?(e.bindTexture(e.TEXTURE_2D,this.tile.texture),e.texSubImage2D(e.TEXTURE_2D,0,0,0,e.RGBA,e.UNSIGNED_BYTE,this.image)):(this.tile.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.tile.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,this.image))}},loadTile:function(t,e){this._coord&&this._coord.toString()===t.coord.toString()?(this._setTile(t),e(null)):(t.state=\"errored\",e(null))},serialize:function(){return{type:\"image\",urls:this.url,coordinates:this.coordinates}}})},{\"../data/bucket\":329,\"../data/buffer\":334,\"../geo/lng_lat\":339,\"../render/draw_raster\":351,\"../render/vertex_array_object\":357,\"../util/ajax\":425,\"../util/evented\":434,\"../util/util\":442,\"./tile_coord\":369,\"point-geometry\":484}],362:[function(t,e,r){\"use strict\";var n=t(\"../util/util\"),i=t(\"../util/ajax\"),a=t(\"../util/browser\"),o=t(\"../util/mapbox\").normalizeSourceURL;e.exports=function(t,e){var r=function(t,r){if(t)return e(t);var i=n.pick(r,[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\"]);r.vector_layers&&(i.vectorLayers=r.vector_layers,i.vectorLayerIds=i.vectorLayers.map(function(t){return t.id})),e(null,i)};t.url?i.getJSON(o(t.url),r):a.frame(r.bind(null,null,t))}},{\"../util/ajax\":425,\"../util/browser\":426,\"../util/mapbox\":439,\"../util/util\":442}],363:[function(t,e,r){\"use strict\";var n=t(\"../data/bucket\");e.exports=function(t,e,r){return e*(n.EXTENT/(t.tileSize*Math.pow(2,r-t.coord.z)))}},{\"../data/bucket\":329}],364:[function(t,e,r){\"use strict\";function n(t,e){var r=t.coord,n=e.coord;return r.z-n.z||r.y-n.y||r.w-n.w||r.x-n.x}function i(t){for(var e=t[0]||{},r=1;r<t.length;r++){var n=t[r];for(var i in n){var a=n[i],o=e[i];if(void 0===o)o=e[i]=a;else for(var s=0;s<a.length;s++)o.push(a[s])}}return e}var a=t(\"./tile_coord\");r.rendered=function(t,e,r,a,o,s){var l=t.tilesIn(r);l.sort(n);for(var u=[],c=0;c<l.length;c++){var h=l[c];h.tile.featureIndex&&u.push(h.tile.featureIndex.query({queryGeometry:h.queryGeometry,scale:h.scale,tileSize:h.tile.tileSize,bearing:s,params:a},e))}return i(u)},r.source=function(t,e){for(var r=t.getRenderableIds().map(function(e){return t.getTileByID(e)}),n=[],i={},o=0;o<r.length;o++){var s=r[o],l=new a(Math.min(s.sourceMaxZoom,s.coord.z),s.coord.x,s.coord.y,0).id;i[l]||(i[l]=!0,s.querySourceFeatures(n,e))}return n}},{\"./tile_coord\":369}],365:[function(t,e,r){\"use strict\";function n(t,e,r){this.id=t,this.dispatcher=r,i.extend(this,i.pick(e,[\"url\",\"scheme\",\"tileSize\"])),s(e,function(t,e){if(t)return this.fire(\"error\",t);i.extend(this,e),this.fire(\"load\")}.bind(this))}var i=t(\"../util/util\"),a=t(\"../util/ajax\"),o=t(\"../util/evented\"),s=t(\"./load_tilejson\"),l=t(\"../util/mapbox\").normalizeTileURL;e.exports=n,n.prototype=i.inherit(o,{minzoom:0,maxzoom:22,roundZoom:!0,scheme:\"xyz\",tileSize:512,_loaded:!1,onAdd:function(t){this.map=t},serialize:function(){return{type:\"raster\",url:this.url,tileSize:this.tileSize}},loadTile:function(t,e){function r(r,n){if(delete t.request,!t.aborted){if(r)return e(r);var i=this.map.painter.gl;t.texture=this.map.painter.getTexture(n.width),t.texture?(i.bindTexture(i.TEXTURE_2D,t.texture),i.texSubImage2D(i.TEXTURE_2D,0,0,0,i.RGBA,i.UNSIGNED_BYTE,n)):(t.texture=i.createTexture(),i.bindTexture(i.TEXTURE_2D,t.texture),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MIN_FILTER,i.LINEAR_MIPMAP_NEAREST),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MAG_FILTER,i.LINEAR),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_S,i.CLAMP_TO_EDGE),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_T,i.CLAMP_TO_EDGE),i.pixelStorei(i.UNPACK_PREMULTIPLY_ALPHA_WEBGL,!0),i.texImage2D(i.TEXTURE_2D,0,i.RGBA,i.RGBA,i.UNSIGNED_BYTE,n),t.texture.size=n.width),i.generateMipmap(i.TEXTURE_2D),this.map.animationLoop.set(this.map.style.rasterFadeDuration),t.state=\"loaded\",e(null)}}var n=l(t.coord.url(this.tiles,null,this.scheme),this.url,this.tileSize);t.request=a.getImage(n,r.bind(this))},abortTile:function(t){t.request&&(t.request.abort(),delete t.request)},unloadTile:function(t){t.texture&&this.map.painter.saveTexture(t.texture)}})},{\"../util/ajax\":425,\"../util/evented\":434,\"../util/mapbox\":439,\"../util/util\":442,\"./load_tilejson\":362}],366:[function(t,e,r){\"use strict\";var n=t(\"../util/util\"),i={vector:t(\"../source/vector_tile_source\"),raster:t(\"../source/raster_tile_source\"),geojson:t(\"../source/geojson_source\"),video:t(\"../source/video_source\"),image:t(\"../source/image_source\")};r.create=function(t,e,r){if(e=new i[e.type](t,e,r),e.id!==t)throw new Error(\"Expected Source id to be \"+t+\" instead of \"+e.id);return n.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],e),e},r.getType=function(t){return i[t]},r.setType=function(t,e){i[t]=e}},{\"../source/geojson_source\":358,\"../source/image_source\":361,\"../source/raster_tile_source\":365,\"../source/vector_tile_source\":370,\"../source/video_source\":372,\"../util/util\":442}],367:[function(t,e,r){\"use strict\";function n(t,e,r){this.id=t,this.dispatcher=r;var n=this._source=o.create(t,e,r).on(\"load\",function(){this.map&&this._source.onAdd&&this._source.onAdd(this.map),this._sourceLoaded=!0,this.tileSize=n.tileSize,this.minzoom=n.minzoom,this.maxzoom=n.maxzoom,this.roundZoom=n.roundZoom,this.reparseOverscaled=n.reparseOverscaled,this.isTileClipped=n.isTileClipped,this.attribution=n.attribution,this.vectorLayerIds=n.vectorLayerIds,this.fire(\"load\")}.bind(this)).on(\"error\",function(t){this._sourceErrored=!0,this.fire(\"error\",t)}.bind(this)).on(\"change\",function(){this.reload(),this.transform&&this.update(this.transform,this.map&&this.map.style.rasterFadeDuration),this.fire(\"change\")}.bind(this));this._tiles={},this._cache=new c(0,this.unloadTile.bind(this)),this._isIdRenderable=this._isIdRenderable.bind(this)}function i(t,e,r){var n=r.zoomTo(Math.min(t.z,e));return{x:(n.column-(t.x+t.w*Math.pow(2,t.z)))*d,y:(n.row-t.y)*d}}function a(t,e){return t%32-e%32}var o=t(\"./source\"),s=t(\"./tile\"),l=t(\"../util/evented\"),u=t(\"./tile_coord\"),c=t(\"../util/lru_cache\"),h=t(\"../geo/coordinate\"),f=t(\"../util/util\"),d=t(\"../data/bucket\").EXTENT;e.exports=n,n.maxOverzooming=10,n.maxUnderzooming=3,n.prototype=f.inherit(l,{onAdd:function(t){this.map=t,this._source&&this._source.onAdd&&this._source.onAdd(t)},loaded:function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},getSource:function(){return this._source},loadTile:function(t,e){return this._source.loadTile(t,e)},unloadTile:function(t){if(this._source.unloadTile)return this._source.unloadTile(t)},abortTile:function(t){if(this._source.abortTile)return this._source.abortTile(t)},serialize:function(){return this._source.serialize()},prepare:function(){if(this._sourceLoaded&&this._source.prepare)return this._source.prepare()},getIds:function(){return Object.keys(this._tiles).map(Number).sort(a)},getRenderableIds:function(){return this.getIds().filter(this._isIdRenderable)},_isIdRenderable:function(t){return this._tiles[t].isRenderable()&&!this._coveredTiles[t]},reload:function(){this._cache.reset();for(var t in this._tiles){var e=this._tiles[t];\"loading\"!==e.state&&(e.state=\"reloading\"),this.loadTile(this._tiles[t],this._tileLoaded.bind(this,this._tiles[t]))}},_tileLoaded:function(t,e){if(e)return t.state=\"errored\",this.fire(\"tile.error\",{tile:t,error:e}),void this._source.fire(\"tile.error\",{tile:t,error:e});t.source=this,t.timeAdded=(new Date).getTime(),this.fire(\"tile.load\",{tile:t}),this._source.fire(\"tile.load\",{tile:t})},getTile:function(t){return this.getTileByID(t.id)},getTileByID:function(t){return this._tiles[t]},getZoom:function(t){return t.zoom+t.scaleZoom(t.tileSize/this.tileSize)},findLoadedChildren:function(t,e,r){var n=!1;for(var i in this._tiles){var a=this._tiles[i];if(!(r[i]||!a.isRenderable()||a.coord.z<=t.z||a.coord.z>e)){var o=Math.pow(2,Math.min(a.coord.z,this.maxzoom)-Math.min(t.z,this.maxzoom));if(Math.floor(a.coord.x/o)===t.x&&Math.floor(a.coord.y/o)===t.y)for(r[i]=!0,n=!0;a&&a.coord.z-1>t.z;){var s=a.coord.parent(this.maxzoom).id;a=this._tiles[s],a&&a.isRenderable()&&(delete r[i],r[s]=!0)}}}return n},findLoadedParent:function(t,e,r){for(var n=t.z-1;n>=e;n--){t=t.parent(this.maxzoom);var i=this._tiles[t.id];if(i&&i.isRenderable())return r[t.id]=!0,i;if(this._cache.has(t.id))return this.addTile(t),r[t.id]=!0,this._tiles[t.id]}},updateCacheSize:function(t){var e=Math.ceil(t.width/t.tileSize)+1,r=Math.ceil(t.height/t.tileSize)+1,n=e*r;this._cache.setMaxSize(Math.floor(5*n))},update:function(t,e){if(this._sourceLoaded){var r,i,a;this.updateCacheSize(t);var o=(this.roundZoom?Math.round:Math.floor)(this.getZoom(t)),s=Math.max(o-n.maxOverzooming,this.minzoom),l=Math.max(o+n.maxUnderzooming,this.minzoom),c={},h=(new Date).getTime();this._coveredTiles={};var d=this.used?t.coveringTiles(this._source):[];for(r=0;r<d.length;r++)i=d[r],a=this.addTile(i),c[i.id]=!0,a.isRenderable()||this.findLoadedChildren(i,l,c)||this.findLoadedParent(i,s,c);for(var p={},m=Object.keys(c),v=0;v<m.length;v++){var g=m[v];i=u.fromID(g),a=this._tiles[g],a&&a.timeAdded>h-(e||0)&&(this.findLoadedChildren(i,l,c)&&(c[g]=!0),this.findLoadedParent(i,s,p))}var y;for(y in p)c[y]||(this._coveredTiles[y]=!0);for(y in p)c[y]=!0;var b=f.keysDifference(this._tiles,c);for(r=0;r<b.length;r++)this.removeTile(+b[r]);this.transform=t}},addTile:function(t){var e=this._tiles[t.id];if(e)return e;var r=t.wrapped()\n",
       ";if(e=this._tiles[r.id],e||(e=this._cache.get(r.id))&&this._redoPlacement&&this._redoPlacement(e),!e){var n=t.z,i=n>this.maxzoom?Math.pow(2,n-this.maxzoom):1;e=new s(r,this.tileSize*i,this.maxzoom),this.loadTile(e,this._tileLoaded.bind(this,e))}return e.uses++,this._tiles[t.id]=e,this.fire(\"tile.add\",{tile:e}),this._source.fire(\"tile.add\",{tile:e}),e},removeTile:function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this.fire(\"tile.remove\",{tile:e}),this._source.fire(\"tile.remove\",{tile:e}),e.uses>0||(e.isRenderable()?this._cache.add(e.coord.wrapped().id,e):(e.aborted=!0,this.abortTile(e),this.unloadTile(e))))},clearTiles:function(){for(var t in this._tiles)this.removeTile(t);this._cache.reset()},tilesIn:function(t){for(var e={},r=this.getIds(),n=1/0,a=1/0,o=-1/0,s=-1/0,l=t[0].zoom,c=0;c<t.length;c++){var f=t[c];n=Math.min(n,f.column),a=Math.min(a,f.row),o=Math.max(o,f.column),s=Math.max(s,f.row)}for(var p=0;p<r.length;p++){var m=this._tiles[r[p]],v=u.fromID(r[p]),g=[i(v,m.sourceMaxZoom,new h(n,a,l)),i(v,m.sourceMaxZoom,new h(o,s,l))];if(g[0].x<d&&g[0].y<d&&g[1].x>=0&&g[1].y>=0){for(var y=[],b=0;b<t.length;b++)y.push(i(v,m.sourceMaxZoom,t[b]));var x=e[m.coord.id];void 0===x&&(x=e[m.coord.id]={tile:m,coord:v,queryGeometry:[],scale:Math.pow(2,this.transform.zoom-m.coord.z)}),x.queryGeometry.push(y)}}var _=[];for(var w in e)_.push(e[w]);return _},redoPlacement:function(){for(var t=this.getIds(),e=0;e<t.length;e++){this.getTileByID(t[e]).redoPlacement(this)}},getVisibleCoordinates:function(){return this.getRenderableIds().map(u.fromID)}})},{\"../data/bucket\":329,\"../geo/coordinate\":338,\"../util/evented\":434,\"../util/lru_cache\":438,\"../util/util\":442,\"./source\":366,\"./tile\":368,\"./tile_coord\":369}],368:[function(t,e,r){\"use strict\";function n(t,e,r){this.coord=t,this.uid=a.uniqueId(),this.uses=0,this.tileSize=e,this.sourceMaxZoom=r,this.buckets={},this.state=\"loading\"}function i(t,e){if(e){for(var r={},n=0;n<t.length;n++){var i=e.getLayer(t[n].layerId);if(i){var s=o.create(a.extend({layer:i,childLayers:t[n].childLayerIds.map(e.getLayer.bind(e)).filter(function(t){return t})},t[n]));r[s.id]=s}}return r}}var a=t(\"../util/util\"),o=t(\"../data/bucket\"),s=t(\"../data/feature_index\"),l=t(\"vector-tile\"),u=t(\"pbf\"),c=t(\"../util/vectortile_to_geojson\"),h=t(\"feature-filter\"),f=t(\"../symbol/collision_tile\"),d=t(\"../symbol/collision_box\"),p=t(\"../symbol/symbol_instances\"),m=t(\"../symbol/symbol_quads\");e.exports=n,n.prototype={loadVectorData:function(t,e){this.state=\"loaded\",t&&(this.collisionBoxArray=new d(t.collisionBoxArray),this.collisionTile=new f(t.collisionTile,this.collisionBoxArray),this.symbolInstancesArray=new p(t.symbolInstancesArray),this.symbolQuadsArray=new m(t.symbolQuadsArray),this.featureIndex=new s(t.featureIndex,t.rawTileData,this.collisionTile),this.rawTileData=t.rawTileData,this.buckets=i(t.buckets,e))},reloadSymbolData:function(t,e,r){if(\"unloaded\"!==this.state){this.collisionTile=new f(t.collisionTile,this.collisionBoxArray),this.featureIndex.setCollisionTile(this.collisionTile);for(var n in this.buckets){var o=this.buckets[n];\"symbol\"===o.type&&(o.destroy(e.gl),delete this.buckets[n])}a.extend(this.buckets,i(t.buckets,r))}},unloadVectorData:function(t){for(var e in this.buckets){this.buckets[e].destroy(t.gl)}this.collisionBoxArray=null,this.symbolQuadsArray=null,this.symbolInstancesArray=null,this.collisionTile=null,this.featureIndex=null,this.rawTileData=null,this.buckets=null,this.state=\"unloaded\"},redoPlacement:function(t){function e(e,r){this.reloadSymbolData(r,t.map.painter,t.map.style),t.fire(\"tile.load\",{tile:this}),this.state=\"loaded\",this.redoWhenDone&&(this.redoPlacement(t),this.redoWhenDone=!1)}if(\"loaded\"!==this.state||\"reloading\"===this.state)return void(this.redoWhenDone=!0);this.state=\"reloading\",t.dispatcher.send(\"redo placement\",{uid:this.uid,source:t.id,angle:t.map.transform.angle,pitch:t.map.transform.pitch,showCollisionBoxes:t.map.showCollisionBoxes},e.bind(this),this.workerID)},getBucket:function(t){return this.buckets&&this.buckets[t.ref||t.id]},querySourceFeatures:function(t,e){if(this.rawTileData){this.vtLayers||(this.vtLayers=new l.VectorTile(new u(new Uint8Array(this.rawTileData))).layers);var r=this.vtLayers._geojsonTileLayer||this.vtLayers[e.sourceLayer];if(r)for(var n=h(e.filter),i={z:this.coord.z,x:this.coord.x,y:this.coord.y},a=0;a<r.length;a++){var o=r.feature(a);if(n(o)){var s=new c(o,this.coord.z,this.coord.x,this.coord.y);s.tile=i,t.push(s)}}}},isRenderable:function(){return\"loaded\"===this.state||\"reloading\"===this.state}}},{\"../data/bucket\":329,\"../data/feature_index\":336,\"../symbol/collision_box\":394,\"../symbol/collision_tile\":396,\"../symbol/symbol_instances\":405,\"../symbol/symbol_quads\":406,\"../util/util\":442,\"../util/vectortile_to_geojson\":443,\"feature-filter\":132,pbf:478,\"vector-tile\":550}],369:[function(t,e,r){\"use strict\";function n(t,e,r,n){l(!isNaN(t)&&t>=0&&t%1==0),l(!isNaN(e)&&e>=0&&e%1==0),l(!isNaN(r)&&r>=0&&r%1==0),isNaN(n)&&(n=0),this.z=+t,this.x=+e,this.y=+r,this.w=+n,(n*=2)<0&&(n=-1*n-1);var i=1<<this.z;this.id=32*(i*i*n+i*this.y+this.x)+this.z,this.posMatrix=null}function i(t,e,r){for(var n,i=\"\",a=t;a>0;a--)n=1<<a-1,i+=(e&n?1:0)+(r&n?2:0);return i}function a(t,e){if(t.row>e.row){var r=t;t=e,e=r}return{x0:t.column,y0:t.row,x1:e.column,y1:e.row,dx:e.column-t.column,dy:e.row-t.row}}function o(t,e,r,n,i){var a=Math.max(r,Math.floor(e.y0)),o=Math.min(n,Math.ceil(e.y1));if(t.x0===e.x0&&t.y0===e.y0?t.x0+e.dy/t.dy*t.dx<e.x1:t.x1-e.dy/t.dy*t.dx<e.x0){var s=t;t=e,e=s}for(var l=t.dx/t.dy,u=e.dx/e.dy,c=t.dx>0,h=e.dx<0,f=a;f<o;f++){var d=l*Math.max(0,Math.min(t.dy,f+c-t.y0))+t.x0,p=u*Math.max(0,Math.min(e.dy,f+h-e.y0))+e.x0;i(Math.floor(p),Math.ceil(d),f)}}function s(t,e,r,n,i,s){var l,u=a(t,e),c=a(e,r),h=a(r,t);u.dy>c.dy&&(l=u,u=c,c=l),u.dy>h.dy&&(l=u,u=h,h=l),c.dy>h.dy&&(l=c,c=h,h=l),u.dy&&o(h,u,n,i,s),c.dy&&o(h,c,n,i,s)}var l=t(\"assert\"),u=t(\"whoots-js\"),c=t(\"../geo/coordinate\");e.exports=n,n.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y},n.prototype.toCoordinate=function(t){var e=Math.min(this.z,t),r=Math.pow(2,e),n=this.y,i=this.x+r*this.w;return new c(i,n,e)},n.fromID=function(t){var e=t%32,r=1<<e,i=(t-e)/32,a=i%r,o=(i-a)/r%r,s=Math.floor(i/(r*r));return s%2!=0&&(s=-1*s-1),s/=2,new n(e,a,o,s)},n.prototype.url=function(t,e,r){var n=u.getTileBBox(this.x,this.y,this.z),a=i(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",Math.min(this.z,e||this.z)).replace(\"{x}\",this.x).replace(\"{y}\",\"tms\"===r?Math.pow(2,this.z)-this.y-1:this.y).replace(\"{quadkey}\",a).replace(\"{bbox-epsg-3857}\",n)},n.prototype.parent=function(t){return 0===this.z?null:this.z>t?new n(this.z-1,this.x,this.y,this.w):new n(this.z-1,Math.floor(this.x/2),Math.floor(this.y/2),this.w)},n.prototype.wrapped=function(){return new n(this.z,this.x,this.y,0)},n.prototype.children=function(t){if(this.z>=t)return[new n(this.z+1,this.x,this.y,this.w)];var e=this.z+1,r=2*this.x,i=2*this.y;return[new n(e,r,i,this.w),new n(e,r+1,i,this.w),new n(e,r,i+1,this.w),new n(e,r+1,i+1,this.w)]},n.cover=function(t,e,r){function i(t,e,i){var s,l,u;if(i>=0&&i<=a)for(s=t;s<e;s++)l=(s%a+a)%a,u=new n(r,l,i,Math.floor(s/a)),o[u.id]=u}var a=1<<t,o={};return s(e[0],e[1],e[2],0,a,i),s(e[2],e[3],e[0],0,a,i),Object.keys(o).map(function(t){return o[t]})}},{\"../geo/coordinate\":338,assert:47,\"whoots-js\":566}],370:[function(t,e,r){\"use strict\";function n(t,e,r){if(this.id=t,this.dispatcher=r,a.extend(this,a.pick(e,[\"url\",\"scheme\",\"tileSize\"])),this._options=a.extend({type:\"vector\"},e),512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");o(e,function(t,e){if(t)return void this.fire(\"error\",t);a.extend(this,e),this.fire(\"load\")}.bind(this))}var i=t(\"../util/evented\"),a=t(\"../util/util\"),o=t(\"./load_tilejson\"),s=t(\"../util/mapbox\").normalizeTileURL;e.exports=n,n.prototype=a.inherit(i,{minzoom:0,maxzoom:22,scheme:\"xyz\",tileSize:512,reparseOverscaled:!0,isTileClipped:!0,onAdd:function(t){this.map=t},serialize:function(){return a.extend({},this._options)},loadTile:function(t,e){function r(r,n){if(!t.aborted){if(r)return e(r);t.loadVectorData(n,this.map.style),t.redoWhenDone&&(t.redoWhenDone=!1,t.redoPlacement(this)),e(null),t.reloadCallback&&(this.loadTile(t,t.reloadCallback),t.reloadCallback=null)}}var n=t.coord.z>this.maxzoom?Math.pow(2,t.coord.z-this.maxzoom):1,i={url:s(t.coord.url(this.tiles,this.maxzoom,this.scheme),this.url),uid:t.uid,coord:t.coord,zoom:t.coord.z,tileSize:this.tileSize*n,source:this.id,overscaling:n,angle:this.map.transform.angle,pitch:this.map.transform.pitch,showCollisionBoxes:this.map.showCollisionBoxes};t.workerID?\"loading\"===t.state?t.reloadCallback=e:(i.rawTileData=t.rawTileData,this.dispatcher.send(\"reload tile\",i,r.bind(this),t.workerID)):t.workerID=this.dispatcher.send(\"load tile\",i,r.bind(this))},abortTile:function(t){this.dispatcher.send(\"abort tile\",{uid:t.uid,source:this.id},null,t.workerID)},unloadTile:function(t){t.unloadVectorData(this.map.painter),this.dispatcher.send(\"remove tile\",{uid:t.uid,source:this.id},null,t.workerID)}})},{\"../util/evented\":434,\"../util/mapbox\":439,\"../util/util\":442,\"./load_tilejson\":362}],371:[function(t,e,r){\"use strict\";function n(t,e,r){this.actor=t,this.styleLayers=e,r&&(this.loadVectorData=r),this.loading={},this.loaded={}}var i=t(\"../util/ajax\"),a=t(\"vector-tile\"),o=t(\"pbf\"),s=t(\"./worker_tile\");e.exports=n,n.prototype={loadTile:function(t,e){function r(t,r){return delete this.loading[n][i],t?e(t):r?(a.data=r.tile,a.parse(a.data,this.styleLayers.getLayerFamilies(),this.actor,r.rawTileData,e),this.loaded[n]=this.loaded[n]||{},void(this.loaded[n][i]=a)):e(null,null)}var n=t.source,i=t.uid;this.loading[n]||(this.loading[n]={});var a=this.loading[n][i]=new s(t);a.abort=this.loadVectorData(t,r.bind(this))},reloadTile:function(t,e){var r=this.loaded[t.source],n=t.uid;if(r&&r[n]){var i=r[n];i.parse(i.data,this.styleLayers.getLayerFamilies(),this.actor,t.rawTileData,e)}},abortTile:function(t){var e=this.loading[t.source],r=t.uid;e&&e[r]&&e[r].abort&&(e[r].abort(),delete e[r])},removeTile:function(t){var e=this.loaded[t.source],r=t.uid;e&&e[r]&&delete e[r]},loadVectorData:function(t,e){function r(t,r){if(t)return e(t);var n=new a.VectorTile(new o(new Uint8Array(r)));e(t,{tile:n,rawTileData:r})}var n=i.getArrayBuffer(t.url,r.bind(this));return function(){n.abort()}},redoPlacement:function(t,e){var r=this.loaded[t.source],n=this.loading[t.source],i=t.uid;if(r&&r[i]){var a=r[i],o=a.redoPlacement(t.angle,t.pitch,t.showCollisionBoxes);o.result&&e(null,o.result,o.transferables)}else n&&n[i]&&(n[i].angle=t.angle)}}},{\"../util/ajax\":425,\"./worker_tile\":374,pbf:478,\"vector-tile\":550}],372:[function(t,e,r){\"use strict\";function n(t,e){this.id=t,this.urls=e.urls,this.coordinates=e.coordinates,u.getVideo(e.urls,function(t,r){if(t)return this.fire(\"error\",{error:t});this.video=r,this.video.loop=!0;var n;this.video.addEventListener(\"playing\",function(){n=this.map.style.animationLoop.set(1/0),this.map._rerender()}.bind(this)),this.video.addEventListener(\"pause\",function(){this.map.style.animationLoop.cancel(n)}.bind(this)),this.map&&(this.video.play(),this.setCoordinates(e.coordinates)),this.fire(\"load\")}.bind(this))}var i=t(\"../util/util\"),a=t(\"./tile_coord\"),o=t(\"../geo/lng_lat\"),s=t(\"point-geometry\"),l=t(\"../util/evented\"),u=t(\"../util/ajax\"),c=t(\"../data/bucket\").EXTENT,h=t(\"../render/draw_raster\").RasterBoundsArray,f=t(\"../data/buffer\"),d=t(\"../render/vertex_array_object\");e.exports=n,n.prototype=i.inherit(l,{minzoom:0,maxzoom:22,tileSize:512,roundZoom:!0,getVideo:function(){return this.video},onAdd:function(t){this.map||(this.map=t,this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},setCoordinates:function(t){this.coordinates=t;var e=this.map,r=t.map(function(t){return e.transform.locationCoordinate(o.convert(t)).zoomTo(0)}),n=this.centerCoord=i.getCoordinatesCenter(r);return n.column=Math.round(n.column),n.row=Math.round(n.row),this.minzoom=this.maxzoom=n.zoom,this._coord=new a(n.zoom,n.column,n.row),this._tileCoords=r.map(function(t){var e=t.zoomTo(n.zoom);return new s(Math.round((e.column-n.column)*c),Math.round((e.row-n.row)*c))}),this.fire(\"change\"),this},_setTile:function(t){this._prepared=!1,this.tile=t;var e=new h;e.emplaceBack(this._tileCoords[0].x,this._tileCoords[0].y,0,0),e.emplaceBack(this._tileCoords[1].x,this._tileCoords[1].y,32767,0),e.emplaceBack(this._tileCoords[3].x,this._tileCoords[3].y,0,32767),e.emplaceBack(this._tileCoords[2].x,this._tileCoords[2].y,32767,32767),this.tile.buckets={},this.tile.boundsBuffer=new f(e.serialize(),h.serialize(),f.BufferType.VERTEX),this.tile.boundsVAO=new d,this.tile.state=\"loaded\"},prepare:function(){if(!(this.video.readyState<2)&&this.tile){var t=this.map.painter.gl;this._prepared?(t.bindTexture(t.TEXTURE_2D,this.tile.texture),t.texSubImage2D(t.TEXTURE_2D,0,0,0,t.RGBA,t.UNSIGNED_BYTE,this.video)):(this._prepared=!0,this.tile.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.tile.texture),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),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.LINEAR),t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,this.video)),this._currentTime=this.video.currentTime}},loadTile:function(t,e){this._coord&&this._coord.toString()===t.coord.toString()?(this._setTile(t),e(null)):(t.state=\"errored\",e(null))},serialize:function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}}})},{\"../data/bucket\":329,\"../data/buffer\":334,\"../geo/lng_lat\":339,\"../render/draw_raster\":351,\"../render/vertex_array_object\":357,\"../util/ajax\":425,\"../util/evented\":434,\"../util/util\":442,\"./tile_coord\":369,\"point-geometry\":484}],373:[function(t,e,r){\"use strict\";function n(t){this.self=t,this.actor=new a(t,this);var e={getLayers:function(){return this.layers}.bind(this),getLayerFamilies:function(){return this.layerFamilies}.bind(this)};this.workerSources={vector:new l(this.actor,e),geojson:new u(this.actor,e)},this.self.registerWorkerSource=function(t,r){if(this.workerSources[t])throw new Error('Worker source with name \"'+t+'\" already registered.');this.workerSources[t]=new r(this.actor,e)}.bind(this)}function i(t){var e={};for(var r in t){var n=t[r],i=n.ref||n.id,a=t[i];a.layout&&\"none\"===a.layout.visibility||(e[i]=e[i]||[],r===i?e[i].unshift(n):e[i].push(n))}return e}var a=t(\"../util/actor\"),o=t(\"../style/style_layer\"),s=t(\"../util/util\"),l=t(\"./vector_tile_worker_source\"),u=t(\"./geojson_worker_source\");e.exports=function(t){return new n(t)},s.extend(n.prototype,{\"set layers\":function(t){function e(t){var e=o.create(t,t.ref&&r.layers[t.ref]);e.updatePaintTransitions({},{transition:!1}),r.layers[e.id]=e}this.layers={};for(var r=this,n=[],a=0;a<t.length;a++){var s=t[a];\"fill\"!==s.type&&\"line\"!==s.type&&\"circle\"!==s.type&&\"symbol\"!==s.type||(s.ref?n.push(a):e(s))}for(var l=0;l<n.length;l++)e(t[n[l]]);this.layerFamilies=i(this.layers)},\"update layers\":function(t){function e(t){var e=a.layers[t.ref];a.layers[t.id]?a.layers[t.id].set(t,e):a.layers[t.id]=o.create(t,e),a.layers[t.id].updatePaintTransitions({},{transition:!1})}var r,n,a=this;for(r in t)n=t[r],n.ref&&e(n);for(r in t)n=t[r],n.ref||e(n);this.layerFamilies=i(this.layers)},\"load tile\":function(t,e){var r=t.type||\"vector\";this.workerSources[r].loadTile(t,e)},\"reload tile\":function(t,e){var r=t.type||\"vector\";this.workerSources[r].reloadTile(t,e)},\"abort tile\":function(t){var e=t.type||\"vector\";this.workerSources[e].abortTile(t)},\"remove tile\":function(t){var e=t.type||\"vector\";this.workerSources[e].removeTile(t)},\"redo placement\":function(t,e){var r=t.type||\"vector\";this.workerSources[r].redoPlacement(t,e)},\"load worker source\":function(t,e){try{this.self.importScripts(t.url),e()}catch(t){e(t)}}})},{\"../style/style_layer\":381,\"../util/actor\":424,\"../util/util\":442,\"./geojson_worker_source\":359,\"./vector_tile_worker_source\":371}],374:[function(t,e,r){\"use strict\";function n(t){this.coord=t.coord,this.uid=t.uid,this.zoom=t.zoom,this.tileSize=t.tileSize,this.source=t.source,this.overscaling=t.overscaling,this.angle=t.angle,this.pitch=t.pitch,this.showCollisionBoxes=t.showCollisionBoxes}function i(t){return!t.isEmpty()}function a(t){return t.serialize()}function o(t){var e=[];for(var r in t)t[r].getTransferables(e);return e}function s(t){return t.id}var l=t(\"../data/feature_index\"),u=t(\"../symbol/collision_tile\"),c=t(\"../data/bucket\"),h=t(\"../symbol/collision_box\"),f=t(\"../util/dictionary_coder\"),d=t(\"../util/util\"),p=t(\"../symbol/symbol_instances\"),m=t(\"../symbol/symbol_quads\");e.exports=n,n.prototype.parse=function(t,e,r,n,v){function g(t,e){for(var r=0;r<t.length;r++){var n=t.feature(r);n.index=r;for(var i in e)e[i].filter(n)&&e[i].features.push(n)}}function y(t){if(t)return v(t);if(2===++N){for(var e=P.length-1;e>=0;e--)b(E,P[e]);x()}}function b(t,e){if(e.populateArrays(A,j,F),\"symbol\"!==e.type)for(var r=0;r<e.features.length;r++){var n=e.features[r];T.insert(n,n.index,e.sourceLayerIndex,e.index)}e.features=null}function x(){E.status=\"done\",E.redoPlacementAfterDone&&(E.redoPlacement(E.angle,E.pitch,null),E.redoPlacementAfterDone=!1);var t=T.serialize(),e=A.serialize(),r=E.collisionBoxArray.serialize(),s=E.symbolInstancesArray.serialize(),l=E.symbolQuadsArray.serialize(),u=[n].concat(t.transferables).concat(e.transferables),c=D.filter(i);v(null,{buckets:c.map(a),featureIndex:t.data,collisionTile:e.data,collisionBoxArray:r,symbolInstancesArray:s,symbolQuadsArray:l,rawTileData:n},o(c).concat(u))}this.status=\"parsing\",this.data=t,this.collisionBoxArray=new h,this.symbolInstancesArray=new p,this.symbolQuadsArray=new m;var _,w,M,k,A=new u(this.angle,this.pitch,this.collisionBoxArray),T=new l(this.coord,this.overscaling,A,t.layers),S=new f(t.layers?Object.keys(t.layers).sort():[\"_geojsonTileLayer\"]),E=this,L={},C={},I=0;for(var z in e)w=e[z][0],w.source===this.source&&(w.ref||w.minzoom&&this.zoom<w.minzoom||w.maxzoom&&this.zoom>=w.maxzoom||w.layout&&\"none\"===w.layout.visibility||t.layers&&!t.layers[w.sourceLayer]||(k=c.create({layer:w,index:I++,childLayers:e[z],zoom:this.zoom,overscaling:this.overscaling,showCollisionBoxes:this.showCollisionBoxes,collisionBoxArray:this.collisionBoxArray,symbolQuadsArray:this.symbolQuadsArray,symbolInstancesArray:this.symbolInstancesArray,sourceLayerIndex:S.encode(w.sourceLayer||\"_geojsonTileLayer\")}),k.createFilter(),L[w.id]=k,t.layers&&(M=w.sourceLayer,C[M]=C[M]||{},C[M][w.id]=k)));if(t.layers)for(M in C)1===w.version&&d.warnOnce('Vector tile source \"'+this.source+'\" layer \"'+M+'\" does not use vector tile spec v2 and therefore may have some rendering errors.'),(w=t.layers[M])&&g(w,C[M]);else g(t,L);var D=[],P=this.symbolBuckets=[],O=[];T.bucketLayerIDs={};for(var R in L)k=L[R],0!==k.features.length&&(T.bucketLayerIDs[k.index]=k.childLayers.map(s),D.push(k),\"symbol\"===k.type?P.push(k):O.push(k));var F={},j={},N=0;if(P.length>0){for(_=P.length-1;_>=0;_--)P[_].updateIcons(F),P[_].updateFont(j);for(var B in j)j[B]=Object.keys(j[B]).map(Number);F=Object.keys(F),r.send(\"get glyphs\",{uid:this.uid,stacks:j},function(t,e){j=e,y(t)}),F.length?r.send(\"get icons\",{icons:F},function(t,e){F=e,y(t)}):y()}for(_=O.length-1;_>=0;_--)b(this,O[_]);if(0===P.length)return x()},n.prototype.redoPlacement=function(t,e,r){if(\"done\"!==this.status)return this.redoPlacementAfterDone=!0,this.angle=t,{};for(var n=new u(t,e,this.collisionBoxArray),s=this.symbolBuckets,l=s.length-1;l>=0;l--)s[l].placeFeatures(n,r);var c=n.serialize(),h=s.filter(i);return{result:{buckets:h.map(a),collisionTile:c.data},transferables:o(h).concat(c.transferables)}}},{\"../data/bucket\":329,\"../data/feature_index\":336,\"../symbol/collision_box\":394,\"../symbol/collision_tile\":396,\"../symbol/symbol_instances\":405,\"../symbol/symbol_quads\":406,\"../util/dictionary_coder\":432,\"../util/util\":442}],375:[function(t,e,r){\"use strict\";function n(){this.n=0,this.times=[]}e.exports=n,n.prototype.stopped=function(){return this.times=this.times.filter(function(t){return t.time>=(new Date).getTime()}),!this.times.length},n.prototype.set=function(t){return this.times.push({id:this.n,time:t+(new Date).getTime()}),this.n++},n.prototype.cancel=function(t){this.times=this.times.filter(function(e){return e.id!==t})}},{}],376:[function(t,e,r){\"use strict\";function n(t){this.base=t,this.retina=s.devicePixelRatio>1;var e=this.retina?\"@2x\":\"\";o.getJSON(l(t,e,\".json\"),function(t,e){if(t)return void this.fire(\"error\",{error:t});this.data=e,this.img&&this.fire(\"load\")}.bind(this)),o.getImage(l(t,e,\".png\"),function(t,e){if(t)return void this.fire(\"error\",{error:t});for(var r=e.getData(),n=e.data=new Uint8Array(r.length),i=0;i<r.length;i+=4){var a=r[i+3]/255;n[i+0]=r[i+0]*a,n[i+1]=r[i+1]*a,n[i+2]=r[i+2]*a,n[i+3]=r[i+3]}this.img=e,this.data&&this.fire(\"load\")}.bind(this))}function i(){}var a=t(\"../util/evented\"),o=t(\"../util/ajax\"),s=t(\"../util/browser\"),l=t(\"../util/mapbox\").normalizeSpriteURL;e.exports=n,n.prototype=Object.create(a),n.prototype.toJSON=function(){return this.base},n.prototype.loaded=function(){return!(!this.data||!this.img)},n.prototype.resize=function(){if(s.devicePixelRatio>1!==this.retina){var t=new n(this.base);t.on(\"load\",function(){this.img=t.img,this.data=t.data,this.retina=t.retina}.bind(this))}},i.prototype={x:0,y:0,width:0,height:0,pixelRatio:1,sdf:!1},n.prototype.getSpritePosition=function(t){if(!this.loaded())return new i;var e=this.data&&this.data[t];return e&&this.img?e:new i}},{\"../util/ajax\":425,\"../util/browser\":426,\"../util/evented\":434,\"../util/mapbox\":439}],377:[function(t,e,r){\"use strict\";var n=t(\"csscolorparser\").parseCSSColor,i=t(\"../util/util\"),a=t(\"./style_function\"),o={};e.exports=function t(e){if(a.isFunctionDefinition(e))return i.extend({},e,{stops:e.stops.map(function(e){return[e[0],t(e[1])]})});if(\"string\"==typeof e){if(!o[e]){var r=n(e);if(!r)throw new Error(\"Invalid color \"+e);o[e]=[r[0]/255*r[3],r[1]/255*r[3],r[2]/255*r[3],r[3]]}return o[e]}throw new Error(\"Invalid color \"+e)}},{\"../util/util\":442,\"./style_function\":380,csscolorparser:108}],378:[function(t,e,r){\"use strict\";function n(t,e,r){this.animationLoop=e||new m,this.dispatcher=new p(r||1,this),this.spriteAtlas=new l(1024,1024),this.lineAtlas=new u(256,512),this._layers={},this._order=[],this._groups=[],this.sources={},this.zoomHistory={},c.bindAll([\"_forwardSourceEvent\",\"_forwardTileEvent\",\"_forwardLayerEvent\",\"_redoPlacement\"],this),this._resetUpdates();var n=function(t,e){if(t)return void this.fire(\"error\",{error:t});if(!v.emitErrors(this,v(e))){this._loaded=!0,this.stylesheet=e,this.updateClasses();var r=e.sources;for(var n in r)this.addSource(n,r[n]);e.sprite&&(this.sprite=new o(e.sprite),this.sprite.on(\"load\",this.fire.bind(this,\"change\"))),this.glyphSource=new s(e.glyphs),this._resolve(),this.fire(\"load\")}}.bind(this);\"string\"==typeof t?h.getJSON(f(t),n):d.frame(n.bind(this,null,t)),this.on(\"source.load\",function(t){var e=t.source;if(e&&e.vectorLayerIds)for(var r in this._layers){var n=this._layers[r];n.source===e.id&&this._validateLayer(n)}})}var i=t(\"../util/evented\"),a=t(\"./style_layer\"),o=t(\"./image_sprite\"),s=t(\"../symbol/glyph_source\"),l=t(\"../symbol/sprite_atlas\"),u=t(\"../render/line_atlas\"),c=t(\"../util/util\"),h=t(\"../util/ajax\"),f=t(\"../util/mapbox\").normalizeStyleURL,d=t(\"../util/browser\"),p=t(\"../util/dispatcher\"),m=t(\"./animation_loop\"),v=t(\"./validate_style\"),g=t(\"../source/source\"),y=t(\"../source/query_features\"),b=t(\"../source/source_cache\"),x=t(\"./style_spec\"),_=t(\"./style_function\");e.exports=n,n.prototype=c.inherit(i,{_loaded:!1,_validateLayer:function(t){var e=this.sources[t.source];t.sourceLayer&&e&&e.vectorLayerIds&&-1===e.vectorLayerIds.indexOf(t.sourceLayer)&&this.fire(\"error\",{error:new Error('Source layer \"'+t.sourceLayer+'\" does not exist on source \"'+e.id+'\" as specified by style layer \"'+t.id+'\"')})},loaded:function(){if(!this._loaded)return!1;if(Object.keys(this._updates.sources).length)return!1;for(var t in this.sources)if(!this.sources[t].loaded())return!1;return!(this.sprite&&!this.sprite.loaded())},_resolve:function(){var t,e;this._layers={},this._order=this.stylesheet.layers.map(function(t){return t.id});for(var r=0;r<this.stylesheet.layers.length;r++)e=this.stylesheet.layers[r],e.ref||(t=a.create(e),this._layers[t.id]=t,t.on(\"error\",this._forwardLayerEvent));for(var n=0;n<this.stylesheet.layers.length;n++)if(e=this.stylesheet.layers[n],e.ref){var i=this.getLayer(e.ref);t=a.create(e,i),this._layers[t.id]=t,t.on(\"error\",this._forwardLayerEvent)}this._groupLayers(),this._updateWorkerLayers()},_groupLayers:function(){var t;this._groups=[];for(var e=0;e<this._order.length;++e){var r=this._layers[this._order[e]];t&&r.source===t.source||(t=[],t.source=r.source,this._groups.push(t)),t.push(r)}},_updateWorkerLayers:function(t){this.dispatcher.broadcast(t?\"update layers\":\"set layers\",this._serializeLayers(t))},_serializeLayers:function(t){t=t||this._order;for(var e=[],r={includeRefProperties:!0},n=0;n<t.length;n++)e.push(this._layers[t[n]].serialize(r));return e},_applyClasses:function(t,e){if(this._loaded){t=t||[],e=e||{transition:!0};var r=this.stylesheet.transition||{},n=this._updates.allPaintProps?this._layers:this._updates.paintProps;for(var i in n){var a=this._layers[i],o=this._updates.paintProps[i];if(this._updates.allPaintProps||o.all)a.updatePaintTransitions(t,e,r,this.animationLoop);else for(var s in o)this._layers[i].updatePaintTransition(s,t,e,r,this.animationLoop)}}},_recalculate:function(t){for(var e in this.sources)this.sources[e].used=!1;this._updateZoomHistory(t),this.rasterFadeDuration=300;for(var r in this._layers){var n=this._layers[r];n.recalculate(t,this.zoomHistory),!n.isHidden(t)&&n.source&&(this.sources[n.source].used=!0)}Math.floor(this.z)!==Math.floor(t)&&this.animationLoop.set(300),this.z=t,this.fire(\"zoom\")},_updateZoomHistory:function(t){var e=this.zoomHistory;void 0===e.lastIntegerZoom&&(e.lastIntegerZoom=Math.floor(t),e.lastIntegerZoomTime=0,e.lastZoom=t),Math.floor(e.lastZoom)<Math.floor(t)?(e.lastIntegerZoom=Math.floor(t),e.lastIntegerZoomTime=Date.now()):Math.floor(e.lastZoom)>Math.floor(t)&&(e.lastIntegerZoom=Math.floor(t+1),e.lastIntegerZoomTime=Date.now()),e.lastZoom=t},_checkLoaded:function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},update:function(t,e){if(!this._updates.changed)return this;if(this._updates.allLayers)this._groupLayers(),this._updateWorkerLayers();else{var r=Object.keys(this._updates.layers);r.length&&this._updateWorkerLayers(r)}var n,i=Object.keys(this._updates.sources);for(n=0;n<i.length;n++)this._reloadSource(i[n]);for(n=0;n<this._updates.events.length;n++){var a=this._updates.events[n];this.fire(a[0],a[1])}return this._applyClasses(t,e),this._updates.changed&&this.fire(\"change\"),this._resetUpdates(),this},_resetUpdates:function(){this._updates={events:[],layers:{},sources:{},paintProps:{}}},addSource:function(t,e){if(this._checkLoaded(),void 0!==this.sources[t])throw new Error(\"There is already a source with this ID\");if(!e.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(e)+\".\");return[\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(e.type)>=0&&this._handleErrors(v.source,\"sources.\"+t,e)?this:(e=new b(t,e,this.dispatcher),this.sources[t]=e,e.style=this,e.on(\"load\",this._forwardSourceEvent).on(\"error\",this._forwardSourceEvent).on(\"change\",this._forwardSourceEvent).on(\"tile.add\",this._forwardTileEvent).on(\"tile.load\",this._forwardTileEvent).on(\"tile.error\",this._forwardTileEvent).on(\"tile.remove\",this._forwardTileEvent).on(\"tile.stats\",this._forwardTileEvent),this._updates.events.push([\"source.add\",{source:e}]),this._updates.changed=!0,this)},removeSource:function(t){if(this._checkLoaded(),void 0===this.sources[t])throw new Error(\"There is no source with this ID\");var e=this.sources[t];return delete this.sources[t],delete this._updates.sources[t],e.off(\"load\",this._forwardSourceEvent).off(\"error\",this._forwardSourceEvent).off(\"change\",this._forwardSourceEvent).off(\"tile.add\",this._forwardTileEvent).off(\"tile.load\",this._forwardTileEvent).off(\"tile.error\",this._forwardTileEvent).off(\"tile.remove\",this._forwardTileEvent).off(\"tile.stats\",this._forwardTileEvent),this._updates.events.push([\"source.remove\",{source:e}]),this._updates.changed=!0,this},getSource:function(t){return this.sources[t]&&this.sources[t].getSource()},addLayer:function(t,e){if(this._checkLoaded(),!(t instanceof a)){if(this._handleErrors(v.layer,\"layers.\"+t.id,t,!1,{arrayIndex:-1}))return this;var r=t.ref&&this.getLayer(t.ref);t=a.create(t,r)}return this._validateLayer(t),t.on(\"error\",this._forwardLayerEvent),this._layers[t.id]=t,this._order.splice(e?this._order.indexOf(e):1/0,0,t.id),this._updates.allLayers=!0,t.source&&(this._updates.sources[t.source]=!0),this._updates.events.push([\"layer.add\",{layer:t}]),this.updateClasses(t.id)},removeLayer:function(t){this._checkLoaded();var e=this._layers[t];if(void 0===e)throw new Error(\"There is no layer with this ID\");for(var r in this._layers)this._layers[r].ref===t&&this.removeLayer(r);return e.off(\"error\",this._forwardLayerEvent),delete this._layers[t],delete this._updates.layers[t],delete this._updates.paintProps[t],this._order.splice(this._order.indexOf(t),1),this._updates.allLayers=!0,this._updates.events.push([\"layer.remove\",{layer:e}]),this._updates.changed=!0,this},getLayer:function(t){return this._layers[t]},getReferentLayer:function(t){var e=this.getLayer(t);return e.ref&&(e=this.getLayer(e.ref)),e},setLayerZoomRange:function(t,e,r){this._checkLoaded();var n=this.getReferentLayer(t);return n.minzoom===e&&n.maxzoom===r?this:(null!=e&&(n.minzoom=e),null!=r&&(n.maxzoom=r),this._updateLayer(n))},setFilter:function(t,e){this._checkLoaded();var r=this.getReferentLayer(t);return null!==e&&this._handleErrors(v.filter,\"layers.\"+r.id+\".filter\",e)?this:c.deepEqual(r.filter,e)?this:(r.filter=c.clone(e),this._updateLayer(r))},getFilter:function(t){return this.getReferentLayer(t).filter},setLayoutProperty:function(t,e,r){this._checkLoaded();var n=this.getReferentLayer(t);return c.deepEqual(n.getLayoutProperty(e),r)?this:(n.setLayoutProperty(e,r),this._updateLayer(n))},getLayoutProperty:function(t,e){return this.getReferentLayer(t).getLayoutProperty(e)},setPaintProperty:function(t,e,r,n){this._checkLoaded();var i=this.getLayer(t);if(c.deepEqual(i.getPaintProperty(e,n),r))return this;var a=i.isPaintValueFeatureConstant(e);return i.setPaintProperty(e,r,n),!(r&&_.isFunctionDefinition(r)&&\"$zoom\"!==r.property&&void 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this._updates.layers[t.id]=!0,t.source&&(this._updates.sources[t.source]=!0),this._updates.changed=!0,this},_flattenRenderedFeatures:function(t){for(var e=[],r=this._order.length-1;r>=0;r--)for(var n=this._order[r],i=0;i<t.length;i++){var a=t[i][n];if(a)for(var o=0;o<a.length;o++)e.push(a[o])}return e},queryRenderedFeatures:function(t,e,r,n){\n",
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r=\"color\"===t.type&&this.value?o(this.value):e;if(this.calculate=a[t.function||\"piecewise-constant\"](r),this.isFeatureConstant=this.calculate.isFeatureConstant,this.isZoomConstant=this.calculate.isZoomConstant,\"piecewise-constant\"===t.function&&t.transition&&(this.calculate=i(this.calculate)),!this.isFeatureConstant&&!this.isZoomConstant){this.stopZoomLevels=[];for(var n=[],l=this.value.stops,u=0;u<this.value.stops.length;u++){var c=l[u][0].zoom;this.stopZoomLevels.indexOf(c)<0&&(this.stopZoomLevels.push(c),n.push([c,n.length]))}this.calculateInterpolationT=a.interpolated({stops:n,base:e.base})}}function i(t){return function(e,r){var n,i,a,o=e.zoom,s=e.zoomHistory,l=e.duration,u=o%1,c=Math.min((Date.now()-s.lastIntegerZoomTime)/l,1),h=1;return o>s.lastIntegerZoom?(n=u+(1-u)*c,h*=2,i=t({zoom:o-1},r),a=t({zoom:o},r)):(n=1-(1-c)*u,a=t({zoom:o},r),i=t({zoom:o+1},r),h/=2),void 0===i||void 0===a?void 0:{from:i,fromScale:h,to:a,toScale:1,t:n}}}var a=t(\"./style_function\"),o=t(\"./parse_color\"),s=t(\"../util/util\");e.exports=n},{\"../util/util\":442,\"./parse_color\":377,\"./style_function\":380}],380:[function(t,e,r){\"use strict\";var n=t(\"mapbox-gl-function\");r.interpolated=function(t){var e=n.interpolated(t),r=function(t,r){return e(t&&t.zoom,r||{})};return r.isFeatureConstant=e.isFeatureConstant,r.isZoomConstant=e.isZoomConstant,r},r[\"piecewise-constant\"]=function(t){var e=n[\"piecewise-constant\"](t),r=function(t,r){return e(t&&t.zoom,r||{})};return r.isFeatureConstant=e.isFeatureConstant,r.isZoomConstant=e.isZoomConstant,r},r.isFunctionDefinition=n.isFunctionDefinition},{\"mapbox-gl-function\":302}],381:[function(t,e,r){\"use strict\";function n(t,e){this.set(t,e)}function i(t){return t.value}var a=t(\"../util/util\"),o=t(\"./style_transition\"),s=t(\"./style_declaration\"),l=t(\"./style_spec\"),u=t(\"./validate_style\"),c=t(\"./parse_color\"),h=t(\"../util/evented\");e.exports=n;n.create=function(e,r){return new({background:t(\"./style_layer/background_style_layer\"),circle:t(\"./style_layer/circle_style_layer\"),fill:t(\"./style_layer/fill_style_layer\"),line:t(\"./style_layer/line_style_layer\"),raster:t(\"./style_layer/raster_style_layer\"),symbol:t(\"./style_layer/symbol_style_layer\")}[(r||e).type])(e,r)},n.prototype=a.inherit(h,{set:function(t,e){this.id=t.id,this.ref=t.ref,this.metadata=t.metadata,this.type=(e||t).type,this.source=(e||t).source,this.sourceLayer=(e||t)[\"source-layer\"],this.minzoom=(e||t).minzoom,this.maxzoom=(e||t).maxzoom,this.filter=(e||t).filter,this.paint={},this.layout={},this._paintSpecifications=l[\"paint_\"+this.type],this._layoutSpecifications=l[\"layout_\"+this.type],this._paintTransitions={},this._paintTransitionOptions={},this._paintDeclarations={},this._layoutDeclarations={},this._layoutFunctions={};var r,n;for(var i in t){var a=i.match(/^paint(?:\\.(.*))?$/);if(a){var o=a[1]||\"\";for(r in t[i])this.setPaintProperty(r,t[i][r],o)}}if(this.ref)this._layoutDeclarations=e._layoutDeclarations;else for(n in t.layout)this.setLayoutProperty(n,t.layout[n]);for(r in this._paintSpecifications)this.paint[r]=this.getPaintValue(r);for(n in this._layoutSpecifications)this._updateLayoutValue(n)},setLayoutProperty:function(t,e){if(null==e)delete this._layoutDeclarations[t];else{var r=\"layers.\"+this.id+\".layout.\"+t;if(this._handleErrors(u.layoutProperty,r,t,e))return;this._layoutDeclarations[t]=new s(this._layoutSpecifications[t],e)}this._updateLayoutValue(t)},getLayoutProperty:function(t){return this._layoutDeclarations[t]&&this._layoutDeclarations[t].value},getLayoutValue:function(t,e,r){var n=this._layoutSpecifications[t],i=this._layoutDeclarations[t];return i?i.calculate(e,r):n.default},setPaintProperty:function(t,e,r){var n=\"layers.\"+this.id+(r?'[\"paint.'+r+'\"].':\".paint.\")+t;if(a.endsWith(t,\"-transition\"))if(this._paintTransitionOptions[r||\"\"]||(this._paintTransitionOptions[r||\"\"]={}),null===e||void 0===e)delete this._paintTransitionOptions[r||\"\"][t];else{if(this._handleErrors(u.paintProperty,n,t,e))return;this._paintTransitionOptions[r||\"\"][t]=e}else if(this._paintDeclarations[r||\"\"]||(this._paintDeclarations[r||\"\"]={}),null===e||void 0===e)delete this._paintDeclarations[r||\"\"][t];else{if(this._handleErrors(u.paintProperty,n,t,e))return;this._paintDeclarations[r||\"\"][t]=new s(this._paintSpecifications[t],e)}},getPaintProperty:function(t,e){return e=e||\"\",a.endsWith(t,\"-transition\")?this._paintTransitionOptions[e]&&this._paintTransitionOptions[e][t]:this._paintDeclarations[e]&&this._paintDeclarations[e][t]&&this._paintDeclarations[e][t].value},getPaintValue:function(t,e,r){var n=this._paintSpecifications[t],i=this._paintTransitions[t];return 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this._paintDeclarations){e[\"\"===r?\"paint\":\"paint.\"+r]=a.mapObject(this._paintDeclarations[r],i)}return(!this.ref||t&&t.includeRefProperties)&&a.extend(e,{type:this.type,source:this.source,\"source-layer\":this.sourceLayer,filter:this.filter,layout:a.mapObject(this._layoutDeclarations,i)}),a.filterObject(e,function(t,e){return void 0!==t&&!(\"layout\"===e&&!Object.keys(t).length)})},_applyPaintDeclaration:function(t,e,r,n,i){var l=r.transition?this._paintTransitions[t]:void 0,u=this._paintSpecifications[t];if(null!==e&&void 0!==e||(e=new s(u,u.default)),!l||l.declaration.json!==e.json){var c=a.extend({duration:300,delay:0},n,this.getPaintProperty(t+\"-transition\")),h=this._paintTransitions[t]=new o(u,e,l,c);h.instant()||(h.loopID=i.set(h.endTime-Date.now())),l&&i.cancel(l.loopID)}},_updateLayoutValue:function(t){var e=this._layoutDeclarations[t];e&&e.isFunction?this._layoutFunctions[t]=!0:(delete this._layoutFunctions[t],this.layout[t]=this.getLayoutValue(t))},_handleErrors:function(t,e,r,n){return u.emitErrors(this,t.call(u,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:l,style:{glyphs:!0,sprite:!0}}))}})},{\"../util/evented\":434,\"../util/util\":442,\"./parse_color\":377,\"./style_declaration\":379,\"./style_layer/background_style_layer\":382,\"./style_layer/circle_style_layer\":383,\"./style_layer/fill_style_layer\":384,\"./style_layer/line_style_layer\":385,\"./style_layer/raster_style_layer\":386,\"./style_layer/symbol_style_layer\":387,\"./style_spec\":388,\"./style_transition\":389,\"./validate_style\":390}],382:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{})},{\"../../util/util\":442,\"../style_layer\":381}],383:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{})},{\"../../util/util\":442,\"../style_layer\":381}],384:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");n.prototype=i.inherit(a,{getPaintValue:function(t,e,r){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.getPaintValue.call(this,\"fill-color\",e,r):a.prototype.getPaintValue.call(this,t,e,r)},getPaintValueStopZoomLevels:function(t){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.getPaintValueStopZoomLevels.call(this,\"fill-color\"):a.prototype.getPaintValueStopZoomLevels.call(this,arguments)},getPaintInterpolationT:function(t,e){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.getPaintInterpolationT.call(this,\"fill-color\",e):a.prototype.getPaintInterpolationT.call(this,t,e)},isPaintValueFeatureConstant:function(t){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.isPaintValueFeatureConstant.call(this,\"fill-color\"):a.prototype.isPaintValueFeatureConstant.call(this,t)},isPaintValueZoomConstant:function(t){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.isPaintValueZoomConstant.call(this,\"fill-color\"):a.prototype.isPaintValueZoomConstant.call(this,t)}}),e.exports=n},{\"../../util/util\":442,\"../style_layer\":381}],385:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{getPaintValue:function(t,e,r){var n=a.prototype.getPaintValue.apply(this,arguments);if(n&&\"line-dasharray\"===t){var i=Math.floor(e.zoom);this._flooredZoom!==i&&(this._flooredZoom=i,this._flooredLineWidth=this.getPaintValue(\"line-width\",e,r)),n.fromScale*=this._flooredLineWidth,n.toScale*=this._flooredLineWidth}return n}})},{\"../../util/util\":442,\"../style_layer\":381}],386:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{})},{\"../../util/util\":442,\"../style_layer\":381}],387:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{isHidden:function(){if(a.prototype.isHidden.apply(this,arguments))return!0;var t=0===this.paint[\"text-opacity\"]||!this.layout[\"text-field\"],e=0===this.paint[\"icon-opacity\"]||!this.layout[\"icon-image\"];return!(!t||!e)},getLayoutValue:function(t,e,r){return(\"text-rotation-alignment\"!==t||\"line\"!==this.getLayoutValue(\"symbol-placement\",e,r)||this.getLayoutProperty(\"text-rotation-alignment\"))&&(\"icon-rotation-alignment\"!==t||\"line\"!==this.getLayoutValue(\"symbol-placement\",e,r)||this.getLayoutProperty(\"icon-rotation-alignment\"))?\"text-pitch-alignment\"!==t||this.getLayoutProperty(\"text-pitch-alignment\")?a.prototype.getLayoutValue.apply(this,arguments):this.getLayoutValue(\"text-rotation-alignment\"):\"map\"}})},{\"../../util/util\":442,\"../style_layer\":381}],388:[function(t,e,r){\"use strict\";e.exports=t(\"mapbox-gl-style-spec/reference/latest.min\")},{\"mapbox-gl-style-spec/reference/latest.min\":325}],389:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.declaration=e,this.startTime=this.endTime=(new Date).getTime(),\"piecewise-constant\"===t.function&&t.transition?this.interp=i:this.interp=o[t.type],this.oldTransition=r,this.duration=n.duration||0,this.delay=n.delay||0,this.instant()||(this.endTime=this.startTime+this.duration+this.delay,this.ease=a.easeCubicInOut),r&&r.endTime<=this.startTime&&delete r.oldTransition}function i(t,e,r){return void 0===(t&&t.to)||void 0===(e&&e.to)?void 0:{from:t.to,fromScale:t.toScale,to:e.to,toScale:e.toScale,t:r}}var a=t(\"../util/util\"),o=t(\"../util/interpolate\");e.exports=n,n.prototype.instant=function(){return!this.oldTransition||!this.interp||0===this.duration&&0===this.delay},n.prototype.calculate=function(t,e){var r=this.declaration.calculate(a.extend({},t,{duration:this.duration}),e);if(this.instant())return r;var n=t.time||Date.now();if(n<this.endTime){var i=this.oldTransition.calculate(a.extend({},t,{time:this.startTime}),e),o=this.ease((n-this.startTime-this.delay)/this.duration);r=this.interp(i,r,o)}return r}},{\"../util/interpolate\":436,\"../util/util\":442}],390:[function(t,e,r){\"use strict\";e.exports=t(\"mapbox-gl-style-spec/lib/validate_style.min\"),e.exports.emitErrors=function(t,e){if(e&&e.length){for(var r=0;r<e.length;r++)t.fire(\"error\",{error:new Error(e[r].message)});return!0}return!1},e.exports.throwErrors=function(t,e){if(e)for(var r=0;r<e.length;r++)throw new Error(e[r].message)}},{\"mapbox-gl-style-spec/lib/validate_style.min\":324}],391:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.x=t,this.y=e,this.angle=r,void 0!==n&&(this.segment=n)}var i=t(\"point-geometry\");e.exports=n,n.prototype=Object.create(i.prototype),n.prototype.clone=function(){return new n(this.x,this.y,this.angle,this.segment)}},{\"point-geometry\":484}],392:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){if(void 0===e.segment)return!0;for(var a=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],u=0;s<r/2;){var c=t[o-1],h=t[o],f=t[o+1];if(!f)return!1;var d=c.angleTo(h)-h.angleTo(f);for(d=Math.abs((d+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:d}),u+=d;s-l[0].distance>n;)u-=l.shift().angleDelta;if(u>i)return!1;o++,s+=h.dist(f)}return!0}e.exports=n},{}],393:[function(t,e,r){\"use strict\";function n(t,e,r,n,a){for(var o=[],s=0;s<t.length;s++)for(var l,u=t[s],c=0;c<u.length-1;c++){var h=u[c],f=u[c+1];h.x<e&&f.x<e||(h.x<e?h=new i(e,h.y+(f.y-h.y)*((e-h.x)/(f.x-h.x)))._round():f.x<e&&(f=new i(e,h.y+(f.y-h.y)*((e-h.x)/(f.x-h.x)))._round()),h.y<r&&f.y<r||(h.y<r?h=new i(h.x+(f.x-h.x)*((r-h.y)/(f.y-h.y)),r)._round():f.y<r&&(f=new i(h.x+(f.x-h.x)*((r-h.y)/(f.y-h.y)),r)._round()),h.x>=n&&f.x>=n||(h.x>=n?h=new i(n,h.y+(f.y-h.y)*((n-h.x)/(f.x-h.x)))._round():f.x>=n&&(f=new i(n,h.y+(f.y-h.y)*((n-h.x)/(f.x-h.x)))._round()),h.y>=a&&f.y>=a||(h.y>=a?h=new i(h.x+(f.x-h.x)*((a-h.y)/(f.y-h.y)),a)._round():f.y>=a&&(f=new i(h.x+(f.x-h.x)*((a-h.y)/(f.y-h.y)),a)._round()),l&&h.equals(l[l.length-1])||(l=[h],o.push(l)),l.push(f)))))}return o}var i=t(\"point-geometry\");e.exports=n},{\"point-geometry\":484}],394:[function(t,e,r){\"use strict\";var n=t(\"../util/struct_array\"),i=t(\"../util/util\"),a=t(\"point-geometry\"),o=e.exports=new n({members:[{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Int16\",name:\"x1\"},{type:\"Int16\",name:\"y1\"},{type:\"Int16\",name:\"x2\"},{type:\"Int16\",name:\"y2\"},{type:\"Float32\",name:\"maxScale\"},{type:\"Uint32\",name:\"featureIndex\"},{type:\"Uint16\",name:\"sourceLayerIndex\"},{type:\"Uint16\",name:\"bucketIndex\"},{type:\"Int16\",name:\"bbox0\"},{type:\"Int16\",name:\"bbox1\"},{type:\"Int16\",name:\"bbox2\"},{type:\"Int16\",name:\"bbox3\"},{type:\"Float32\",name:\"placementScale\"}]});i.extendAll(o.prototype.StructType.prototype,{get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)}})},{\"../util/struct_array\":440,\"../util/util\":442,\"point-geometry\":484}],395:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l,u,c){var h=o.top*s-l,f=o.bottom*s+l,d=o.left*s-l,p=o.right*s+l;if(this.boxStartIndex=t.length,u){var m=f-h,v=p-d;if(m>0)if(m=Math.max(10*s,m),c){var g=e[r.segment+1].sub(e[r.segment])._unit()._mult(v),y=[r.sub(g),r.add(g)];this._addLineCollisionBoxes(t,y,r,0,v,m,n,i,a)}else this._addLineCollisionBoxes(t,e,r,r.segment,v,m,n,i,a)}else t.emplaceBack(r.x,r.y,d,h,p,f,1/0,n,i,a,0,0,0,0,0);this.boxEndIndex=t.length}e.exports=n,n.prototype._addLineCollisionBoxes=function(t,e,r,n,i,a,o,s,l){var u=a/2,c=Math.floor(i/u),h=-a/2,f=this.boxes,d=r,p=n+1,m=h;do{if(--p<0)return f;m-=e[p].dist(d),d=e[p]}while(m>-i/2);for(var v=e[p].dist(e[p+1]),g=0;g<c;g++){for(var y=-i/2+g*u;m+v<y;){if(m+=v,++p+1>=e.length)return f;v=e[p].dist(e[p+1])}var b=y-m,x=e[p],_=e[p+1],w=_.sub(x)._unit()._mult(b)._add(x)._round(),M=Math.max(Math.abs(y-h)-u/2,0),k=i/2/M;t.emplaceBack(w.x,w.y,-a/2,-a/2,a/2,a/2,k,o,s,l,0,0,0,0,0)}return f}},{}],396:[function(t,e,r){\"use strict\";function n(t,e,r){if(\"object\"==typeof t){var n=t;r=e,t=n.angle,e=n.pitch,this.grid=new o(n.grid),this.ignoredGrid=new o(n.ignoredGrid)}else this.grid=new o(a,12,6),this.ignoredGrid=new o(a,12,0);this.angle=t,this.pitch=e;var i=Math.sin(t),s=Math.cos(t);if(this.rotationMatrix=[s,-i,i,s],this.reverseRotationMatrix=[s,i,-i,s],this.yStretch=1/Math.cos(e/180*Math.PI),this.yStretch=Math.pow(this.yStretch,1.3),this.collisionBoxArray=r,0===r.length){r.emplaceBack();r.emplaceBack(0,0,0,-32767,0,32767,32767,0,0,0,0,0,0,0,0,0),r.emplaceBack(a,0,0,-32767,0,32767,32767,0,0,0,0,0,0,0,0,0),r.emplaceBack(0,0,-32767,0,32767,0,32767,0,0,0,0,0,0,0,0,0),r.emplaceBack(0,a,-32767,0,32767,0,32767,0,0,0,0,0,0,0,0,0)}this.tempCollisionBox=r.get(0),this.edges=[r.get(1),r.get(2),r.get(3),r.get(4)]}var i=t(\"point-geometry\"),a=t(\"../data/bucket\").EXTENT,o=t(\"grid-index\");e.exports=n,n.prototype.serialize=function(){var t={angle:this.angle,pitch:this.pitch,grid:this.grid.toArrayBuffer(),ignoredGrid:this.ignoredGrid.toArrayBuffer()};return{data:t,transferables:[t.grid,t.ignoredGrid]}},n.prototype.minScale=.25,n.prototype.maxScale=2,n.prototype.placeCollisionFeature=function(t,e,r){for(var n=this.collisionBoxArray,a=this.minScale,o=this.rotationMatrix,s=this.yStretch,l=t.boxStartIndex;l<t.boxEndIndex;l++){var u=n.get(l),c=u.anchorPoint._matMult(o),h=c.x,f=c.y,d=h+u.x1,p=f+u.y1*s,m=h+u.x2,v=f+u.y2*s;if(u.bbox0=d,u.bbox1=p,u.bbox2=m,u.bbox3=v,!e)for(var g=this.grid.query(d,p,m,v),y=0;y<g.length;y++){var b=n.get(g[y]),x=b.anchorPoint._matMult(o);if((a=this.getPlacementScale(a,c,u,x,b))>=this.maxScale)return a}if(r){var _;if(this.angle){var w=this.reverseRotationMatrix,M=new i(u.x1,u.y1).matMult(w),k=new i(u.x2,u.y1).matMult(w),A=new i(u.x1,u.y2).matMult(w),T=new i(u.x2,u.y2).matMult(w);_=this.tempCollisionBox,_.anchorPointX=u.anchorPoint.x,_.anchorPointY=u.anchorPoint.y,_.x1=Math.min(M.x,k.x,A.x,T.x),_.y1=Math.min(M.y,k.x,A.x,T.x),_.x2=Math.max(M.x,k.x,A.x,T.x),_.y2=Math.max(M.y,k.x,A.x,T.x),_.maxScale=u.maxScale}else _=u;for(var S=0;S<this.edges.length;S++){var E=this.edges[S];if((a=this.getPlacementScale(a,u.anchorPoint,_,E.anchorPoint,E))>=this.maxScale)return a}}}return a},n.prototype.queryRenderedSymbols=function(t,e,r,n,a){var o={},s=[],l=this.collisionBoxArray,u=this.rotationMatrix,c=new i(t,e)._matMult(u),h=this.tempCollisionBox;h.anchorX=c.x,h.anchorY=c.y,h.x1=0,h.y1=0,h.x2=r-t,h.y2=n-e,h.maxScale=a,a=h.maxScale;for(var f=[c.x+h.x1/a,c.y+h.y1/a*this.yStretch,c.x+h.x2/a,c.y+h.y2/a*this.yStretch],d=this.grid.query(f[0],f[1],f[2],f[3]),p=this.ignoredGrid.query(f[0],f[1],f[2],f[3]),m=0;m<p.length;m++)d.push(p[m]);for(var v=0;v<d.length;v++){var g=l.get(d[v]),y=g.sourceLayerIndex,b=g.featureIndex;if(void 0===o[y]&&(o[y]={}),!o[y][b]){var x=g.anchorPoint.matMult(u);this.getPlacementScale(this.minScale,c,h,x,g)>=a&&(o[y][b]=!0,s.push(d[v]))}}return s},n.prototype.getPlacementScale=function(t,e,r,n,i){var a=e.x-n.x,o=e.y-n.y,s=(i.x1-r.x2)/a,l=(i.x2-r.x1)/a,u=(i.y1-r.y2)*this.yStretch/o,c=(i.y2-r.y1)*this.yStretch/o;(isNaN(s)||isNaN(l))&&(s=l=1),(isNaN(u)||isNaN(c))&&(u=c=1);var h=Math.min(Math.max(s,l),Math.max(u,c)),f=i.maxScale,d=r.maxScale;return h>f&&(h=f),h>d&&(h=d),h>t&&h>=i.placementScale&&(t=h),t},n.prototype.insertCollisionFeature=function(t,e,r){for(var n=r?this.ignoredGrid:this.grid,i=this.collisionBoxArray,a=t.boxStartIndex;a<t.boxEndIndex;a++){var o=i.get(a);o.placementScale=e,e<this.maxScale&&n.insert(a,o.bbox0,o.bbox1,o.bbox2,o.bbox3)}}},{\"../data/bucket\":329,\"grid-index\":287,\"point-geometry\":484}],397:[function(t,e,r){\"use strict\";function n(t,e,r,n,a,o,s,l,u){var c=n?.6*o*s:0,h=Math.max(n?n.right-n.left:0,a?a.right-a.left:0),f=0===t[0].x||t[0].x===u||0===t[0].y||t[0].y===u;e-h*s<e/4&&(e=h*s+e/4);var d=2*o;return i(t,f?e/2*l%e:(h/2+d)*s*l%e,e,c,r,h*s,f,!1,u)}function i(t,e,r,n,l,u,c,h,f){for(var d=u/2,p=0,m=0;m<t.length-1;m++)p+=t[m].dist(t[m+1]);for(var v=0,g=e-r,y=[],b=0;b<t.length-1;b++){for(var x=t[b],_=t[b+1],w=x.dist(_),M=_.angleTo(x);g+r<v+w;){g+=r;var k=(g-v)/w,A=a(x.x,_.x,k),T=a(x.y,_.y,k);if(A>=0&&A<f&&T>=0&&T<f&&g-d>=0&&g+d<=p){var S=new o(A,T,M,b)._round();n&&!s(t,S,u,n,l)||y.push(S)}}v+=w}return h||y.length||c||(y=i(t,v/2,r,n,l,u,c,!0,f)),y}var a=t(\"../util/interpolate\"),o=t(\"../symbol/anchor\"),s=t(\"./check_max_angle\");e.exports=n},{\"../symbol/anchor\":391,\"../util/interpolate\":436,\"./check_max_angle\":392}],398:[function(t,e,r){\"use strict\";function n(){this.width=o,this.height=o,this.bin=new i(this.width,this.height),this.index={},this.ids={},this.data=new Uint8Array(this.width*this.height)}var i=t(\"shelf-pack\"),a=t(\"../util/util\"),o=128;e.exports=n,n.prototype.getGlyphs=function(){var t,e,r,n={};for(var i in this.ids)t=i.split(\"#\"),e=t[0],r=t[1],n[e]||(n[e]=[]),n[e].push(r);return n},n.prototype.getRects=function(){var t,e,r,n={};for(var i in this.ids)t=i.split(\"#\"),e=t[0],r=t[1],n[e]||(n[e]={}),n[e][r]=this.index[i];return n},n.prototype.addGlyph=function(t,e,r,n){if(!r)return null;var i=e+\"#\"+r.id;if(this.index[i])return this.ids[i].indexOf(t)<0&&this.ids[i].push(t),this.index[i];if(!r.bitmap)return null;var o=r.width+2*n,s=r.height+2*n,l=o+2,u=s+2;l+=4-l%4,u+=4-u%4;var c=this.bin.packOne(l,u);if(c||(this.resize(),c=this.bin.packOne(l,u)),!c)return a.warnOnce(\"glyph bitmap overflow\"),null;this.index[i]=c,this.ids[i]=[t];for(var h=this.data,f=r.bitmap,d=0;d<s;d++)for(var p=this.width*(c.y+d+1)+c.x+1,m=o*d,v=0;v<o;v++)h[p+v]=f[m+v];return this.dirty=!0,c},n.prototype.resize=function(){var t=this.width,e=this.height;if(!(t>=2048||e>=2048)){this.texture&&(this.gl&&this.gl.deleteTexture(this.texture),this.texture=null),this.width*=4,this.height*=4,this.bin.resize(this.width,this.height);for(var r=new ArrayBuffer(this.width*this.height),n=0;n<e;n++){var i=new Uint8Array(this.data.buffer,e*n,t);new Uint8Array(r,e*n*4,t).set(i)}this.data=new Uint8Array(r)}},n.prototype.bind=function(t){this.gl=t,this.texture?t.bindTexture(t.TEXTURE_2D,this.texture):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.LINEAR),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),t.texImage2D(t.TEXTURE_2D,0,t.ALPHA,this.width,this.height,0,t.ALPHA,t.UNSIGNED_BYTE,null))},n.prototype.updateTexture=function(t){this.bind(t),this.dirty&&(t.texSubImage2D(t.TEXTURE_2D,0,0,0,this.width,this.height,t.ALPHA,t.UNSIGNED_BYTE,this.data),this.dirty=!1)}},{\"../util/util\":442,\"shelf-pack\":514}],399:[function(t,e,r){\"use strict\";function n(t){this.url=t&&o(t),this.atlases={},this.stacks={},this.loading={}}function i(t,e,r){this.advance=t.advance,this.left=t.left-r-1,this.top=t.top+r+1,this.rect=e}function a(t,e,r,n){return n=n||\"abc\",r.replace(\"{s}\",n[t.length%n.length]).replace(\"{fontstack}\",t).replace(\"{range}\",e)}var o=t(\"../util/mapbox\").normalizeGlyphsURL,s=t(\"../util/ajax\").getArrayBuffer,l=t(\"../util/glyphs\"),u=t(\"../symbol/glyph_atlas\"),c=t(\"pbf\");e.exports=n,n.prototype.getSimpleGlyphs=function(t,e,r,n){void 0===this.stacks[t]&&(this.stacks[t]={}),void 0===this.atlases[t]&&(this.atlases[t]=new u);for(var a,o={},s=this.stacks[t],l=this.atlases[t],c={},h=0,f=0;f<e.length;f++){var d=e[f];if(a=Math.floor(d/256),s[a]){var p=s[a].glyphs[d],m=l.addGlyph(r,t,p,3);p&&(o[d]=new i(p,m,3))}else void 0===c[a]&&(c[a]=[],h++),c[a].push(d)}h||n(void 0,o,t);var v=function(e,a,s){if(!e)for(var u=this.stacks[t][a]=s.stacks[0],f=0;f<c[a].length;f++){var d=c[a][f],p=u.glyphs[d],m=l.addGlyph(r,t,p,3);p&&(o[d]=new i(p,m,3))}--h||n(void 0,o,t)}.bind(this);for(var g in c)this.loadRange(t,g,v)},n.prototype.loadRange=function(t,e,r){if(256*e>65535)return r(\"glyphs > 65535 not supported\");void 0===this.loading[t]&&(this.loading[t]={});var n=this.loading[t];if(n[e])n[e].push(r);else{n[e]=[r];var i=256*e+\"-\"+(256*e+255),o=a(t,i,this.url);s(o,function(t,r){for(var i=!t&&new l(new c(new Uint8Array(r))),a=0;a<n[e].length;a++)n[e][a](t,e,i);delete n[e]})}},n.prototype.getGlyphAtlas=function(t){return this.atlases[t]}},{\"../symbol/glyph_atlas\":398,\"../util/ajax\":425,\"../util/glyphs\":435,\"../util/mapbox\":439,pbf:478}],400:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){function n(n){c.push(t[n]),h.push(r[n]),f.push(e[n]),d++}function i(t,e,r){var n=u[t];return delete u[t],u[e]=n,h[n][0].pop(),h[n][0]=h[n][0].concat(r[0]),n}function a(t,e,r){var n=l[e];return delete l[e],l[t]=n,h[n][0].shift(),h[n][0]=r[0].concat(h[n][0]),n}function o(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}var s,l={},u={},c=[],h=[],f=[],d=0;for(s=0;s<t.length;s++){var p=r[s],m=e[s];if(m){var v=o(m,p),g=o(m,p,!0);if(v in u&&g in l&&u[v]!==l[g]){var y=a(v,g,p),b=i(v,g,h[y]);delete l[v],delete u[g],u[o(m,h[b],!0)]=b,h[y]=null}else v in u?i(v,g,p):g in l?a(v,g,p):(n(s),l[v]=d-1,u[g]=d-1)}else n(s)}return{features:c,textFeatures:f,geometries:h}}},{}],401:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l,u){this.anchorPoint=t,this.tl=e,this.tr=r,this.bl=n,this.br=i,this.tex=a,this.anchorAngle=o,this.glyphAngle=s,this.minScale=l,this.maxScale=u}function i(t,e,r,i,a,o,u,c,h){var f,d,p,m,v=e.image.rect,g=a.layout,y=e.left-1,b=y+v.w/e.image.pixelRatio,x=e.top-1,_=x+v.h/e.image.pixelRatio;if(\"none\"!==g[\"icon-text-fit\"]&&u){var w=b-y,M=_-x,k=g[\"text-size\"]/24,A=u.left*k,T=u.right*k,S=u.top*k,E=u.bottom*k,L=T-A,C=E-S,I=g[\"icon-text-fit-padding\"][0],z=g[\"icon-text-fit-padding\"][1],D=g[\"icon-text-fit-padding\"][2],P=g[\"icon-text-fit-padding\"][3],O=\"width\"===g[\"icon-text-fit\"]?.5*(C-M):0,R=\"height\"===g[\"icon-text-fit\"]?.5*(L-w):0,F=\"width\"===g[\"icon-text-fit\"]||\"both\"===g[\"icon-text-fit\"]?L:w,j=\"height\"===g[\"icon-text-fit\"]||\"both\"===g[\"icon-text-fit\"]?C:M;f=new s(A+R-P,S+O-I),d=new s(A+R+z+F,S+O-I),p=new s(A+R+z+F,S+O+D+j),m=new s(A+R-P,S+O+D+j)}else f=new s(y,x),d=new s(b,x),p=new s(b,_),m=new s(y,_);var N=a.getLayoutValue(\"icon-rotate\",c,h)*Math.PI/180;if(o){var B=i[t.segment];if(t.y===B.y&&t.x===B.x&&t.segment+1<i.length){var U=i[t.segment+1];N+=Math.atan2(t.y-U.y,t.x-U.x)+Math.PI}else N+=Math.atan2(t.y-B.y,t.x-B.x)}if(N){var V=Math.sin(N),H=Math.cos(N),q=[H,-V,V,H];f=f.matMult(q),d=d.matMult(q),m=m.matMult(q),p=p.matMult(q)}return[new n(new s(t.x,t.y),f,d,m,p,e.image.rect,0,0,l,1/0)]}function a(t,e,r,i,a,u){for(var c=a.layout[\"text-rotate\"]*Math.PI/180,h=a.layout[\"text-keep-upright\"],f=e.positionedGlyphs,d=[],p=0;p<f.length;p++){var m=f[p],v=m.glyph,g=v.rect;if(g){var y,b=(m.x+v.advance/2)*r,x=l;u?(y=[],x=o(y,t,b,i,t.segment,!0),h&&(x=Math.min(x,o(y,t,b,i,t.segment,!1)))):y=[{anchorPoint:new s(t.x,t.y),offset:0,angle:0,maxScale:1/0,minScale:l}];for(var _=m.x+v.left,w=m.y-v.top,M=_+g.w,k=w+g.h,A=new s(_,w),T=new s(M,w),S=new s(_,k),E=new s(M,k),L=0;L<y.length;L++){var C=y[L],I=A,z=T,D=S,P=E;if(c){var O=Math.sin(c),R=Math.cos(c),F=[R,-O,O,R];I=I.matMult(F),z=z.matMult(F),D=D.matMult(F),P=P.matMult(F)}var j=Math.max(C.minScale,x),N=(t.angle+C.offset+2*Math.PI)%(2*Math.PI),B=(C.angle+C.offset+2*Math.PI)%(2*Math.PI);d.push(new n(C.anchorPoint,I,z,D,P,g,N,B,j,C.maxScale))}}}return d}function o(t,e,r,n,i,a){var o=!a;r<0&&(a=!a),a&&i++;var u=new s(e.x,e.y),c=n[i],h=1/0;r=Math.abs(r);for(var f=l;;){var d=u.dist(c),p=r/d,m=Math.atan2(c.y-u.y,c.x-u.x);if(a||(m+=Math.PI),t.push({anchorPoint:u,offset:o?Math.PI:0,minScale:p,maxScale:h,angle:(m+2*Math.PI)%(2*Math.PI)}),p<=f)break;for(u=c;u.equals(c);)if(i+=a?1:-1,!(c=n[i]))return p;var v=c.sub(u)._unit();u=u.sub(v._mult(d)),h=p}return f}var s=t(\"point-geometry\");e.exports={getIconQuads:i,getGlyphQuads:a,SymbolQuad:n};var l=.5},{\"point-geometry\":484}],402:[function(t,e,r){\"use strict\";function n(t,e,r){for(var n=[],a=0,o=t.length;a<o;a++){var s=i(t[a].properties,e[\"text-field\"]);if(s){s=s.toString();var l=e[\"text-transform\"];\"uppercase\"===l?s=s.toLocaleUpperCase():\"lowercase\"===l&&(s=s.toLocaleLowerCase());for(var u=0;u<s.length;u++)r[s.charCodeAt(u)]=!0;n[a]=s}else n[a]=null}return n}var i=t(\"../util/token\");e.exports=n},{\"../util/token\":441}],403:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.codePoint=t,this.x=e,this.y=r,this.glyph=n}function i(t,e,r,n,i,a){this.positionedGlyphs=t,this.text=e,this.top=r,this.bottom=n,this.left=i,this.right=a}function a(t,e,r,a,s,l,u,c,h){for(var f=[],d=new i(f,t,h[1],h[1],h[0],h[0]),p=0,m=0;m<t.length;m++){var v=t.charCodeAt(m),g=e[v];g&&(f.push(new n(v,p,-17,g)),p+=g.advance+c)}return!!f.length&&(o(d,e,a,r,s,l,u,h),d)}function o(t,e,r,n,i,a,o,u){var c=null,d=0,p=0,m=0,v=0,g=t.positionedGlyphs;if(n)for(var y=0;y<g.length;y++){var b=g[y];if(b.x-=d,b.y+=r*m,b.x>n&&null!==c){var x=g[c+1].x;v=Math.max(x,v);for(var _=c+1;_<=y;_++)g[_].y+=r,g[_].x-=x;if(o){var w=c;h[g[c].codePoint]&&w--,s(g,e,p,w,o)}p=c+1,c=null,d+=x,m++}f[b.codePoint]&&(c=y)}var M=g[g.length-1],k=M.x+e[M.codePoint].advance;v=Math.max(v,k);var A=(m+1)*r;s(g,e,p,g.length-1,o),l(g,o,i,a,v,r,m,u),t.top+=-a*A,t.bottom=t.top+A,t.left+=-i*v,t.right=t.left+v}function s(t,e,r,n,i){for(var a=e[t[n].codePoint].advance,o=(t[n].x+a)*i,s=r;s<=n;s++)t[s].x-=o}\n",
       "function l(t,e,r,n,i,a,o,s){for(var l=(e-r)*i+s[0],u=(-n*(o+1)+.5)*a+s[1],c=0;c<t.length;c++)t[c].x+=l,t[c].y+=u}function u(t,e){if(!t||!t.rect)return null;var r=e[\"icon-offset\"][0],n=e[\"icon-offset\"][1],i=r-t.width/2,a=i+t.width,o=n-t.height/2;return new c(t,o,o+t.height,i,a)}function c(t,e,r,n,i){this.image=t,this.top=e,this.bottom=r,this.left=n,this.right=i}e.exports={shapeText:a,shapeIcon:u};var h={32:!0,8203:!0},f={32:!0,38:!0,43:!0,45:!0,47:!0,173:!0,183:!0,8203:!0,8208:!0,8211:!0}},{}],404:[function(t,e,r){\"use strict\";function n(t,e){this.width=t,this.height=e,this.bin=new o(t,e),this.images={},this.data=!1,this.texture=0,this.filter=0,this.pixelRatio=1,this.dirty=!0}function i(t,e,r,n,i,a,o,s,l,u,c){var h,f,d=n*e+r,p=s*a+o;if(c)for(p-=a,f=-1;f<=u;f++,d=((f+u)%u+n)*e+r,p+=a)for(h=-1;h<=l;h++)i[p+h]=t[d+(h+l)%l];else for(f=0;f<u;f++,d+=e,p+=a)for(h=0;h<l;h++)i[p+h]=t[d+h]}function a(t,e,r,n,i){this.rect=t,this.width=e,this.height=r,this.sdf=n,this.pixelRatio=i}var o=t(\"shelf-pack\"),s=t(\"../util/browser\"),l=t(\"../util/util\");e.exports=n,n.prototype.allocateImage=function(t,e){t/=this.pixelRatio,e/=this.pixelRatio;var r=t+2+(4-(t+2)%4),n=e+2+(4-(e+2)%4),i=this.bin.packOne(r,n);return i||(l.warnOnce(\"SpriteAtlas out of space.\"),null)},n.prototype.getImage=function(t,e){if(this.images[t])return this.images[t];if(!this.sprite)return null;var r=this.sprite.getSpritePosition(t);if(!r.width||!r.height)return null;var n=this.allocateImage(r.width,r.height);if(!n)return null;var i=new a(n,r.width/r.pixelRatio,r.height/r.pixelRatio,r.sdf,r.pixelRatio/this.pixelRatio);return this.images[t]=i,this.copy(n,r,e),i},n.prototype.getPosition=function(t,e){var r=this.getImage(t,e),n=r&&r.rect;if(!n)return null;var i=r.width*r.pixelRatio,a=r.height*r.pixelRatio;return{size:[r.width,r.height],tl:[(n.x+1)/this.width,(n.y+1)/this.height],br:[(n.x+1+i)/this.width,(n.y+1+a)/this.height]}},n.prototype.allocate=function(){if(!this.data){var t=Math.floor(this.width*this.pixelRatio),e=Math.floor(this.height*this.pixelRatio);this.data=new Uint32Array(t*e);for(var r=0;r<this.data.length;r++)this.data[r]=0}},n.prototype.copy=function(t,e,r){if(this.sprite.img.data){var n=new Uint32Array(this.sprite.img.data.buffer);this.allocate();var a=this.data;i(n,this.sprite.img.width,e.x,e.y,a,this.width*this.pixelRatio,(t.x+1)*this.pixelRatio,(t.y+1)*this.pixelRatio,e.width,e.height,r),this.dirty=!0}},n.prototype.setSprite=function(t){t&&(this.pixelRatio=s.devicePixelRatio>1?2:1,this.canvas&&(this.canvas.width=this.width*this.pixelRatio,this.canvas.height=this.height*this.pixelRatio)),this.sprite=t},n.prototype.addIcons=function(t,e){for(var r=0;r<t.length;r++)this.getImage(t[r]);e(null,this.images)},n.prototype.bind=function(t,e){var r=!1;this.texture?t.bindTexture(t.TEXTURE_2D,this.texture):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),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),r=!0);var n=e?t.LINEAR:t.NEAREST;n!==this.filter&&(t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,n),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,n),this.filter=n),this.dirty&&(this.allocate(),r?t.texImage2D(t.TEXTURE_2D,0,t.RGBA,this.width*this.pixelRatio,this.height*this.pixelRatio,0,t.RGBA,t.UNSIGNED_BYTE,new Uint8Array(this.data.buffer)):t.texSubImage2D(t.TEXTURE_2D,0,0,0,this.width*this.pixelRatio,this.height*this.pixelRatio,t.RGBA,t.UNSIGNED_BYTE,new Uint8Array(this.data.buffer)),this.dirty=!1)}},{\"../util/browser\":426,\"../util/util\":442,\"shelf-pack\":514}],405:[function(t,e,r){\"use strict\";var n=t(\"../util/struct_array\"),i=t(\"../util/util\"),a=t(\"point-geometry\"),o=e.exports=new n({members:[{type:\"Uint16\",name:\"textBoxStartIndex\"},{type:\"Uint16\",name:\"textBoxEndIndex\"},{type:\"Uint16\",name:\"iconBoxStartIndex\"},{type:\"Uint16\",name:\"iconBoxEndIndex\"},{type:\"Uint16\",name:\"glyphQuadStartIndex\"},{type:\"Uint16\",name:\"glyphQuadEndIndex\"},{type:\"Uint16\",name:\"iconQuadStartIndex\"},{type:\"Uint16\",name:\"iconQuadEndIndex\"},{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Int8\",name:\"index\"}]});i.extendAll(o.prototype.StructType.prototype,{get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)}})},{\"../util/struct_array\":440,\"../util/util\":442,\"point-geometry\":484}],406:[function(t,e,r){\"use strict\";var n=t(\"../util/struct_array\"),i=t(\"../util/util\"),a=t(\"point-geometry\"),o=t(\"./quads\").SymbolQuad,s=e.exports=new n({members:[{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Float32\",name:\"tlX\"},{type:\"Float32\",name:\"tlY\"},{type:\"Float32\",name:\"trX\"},{type:\"Float32\",name:\"trY\"},{type:\"Float32\",name:\"blX\"},{type:\"Float32\",name:\"blY\"},{type:\"Float32\",name:\"brX\"},{type:\"Float32\",name:\"brY\"},{type:\"Int16\",name:\"texH\"},{type:\"Int16\",name:\"texW\"},{type:\"Int16\",name:\"texX\"},{type:\"Int16\",name:\"texY\"},{type:\"Float32\",name:\"anchorAngle\"},{type:\"Float32\",name:\"glyphAngle\"},{type:\"Float32\",name:\"maxScale\"},{type:\"Float32\",name:\"minScale\"}]});i.extendAll(s.prototype.StructType.prototype,{get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)},get SymbolQuad(){return new o(this.anchorPoint,new a(this.tlX,this.tlY),new a(this.trX,this.trY),new a(this.blX,this.blY),new a(this.brX,this.brY),{x:this.texX,y:this.texY,h:this.texH,w:this.texW,height:this.texH,width:this.texW},this.anchorAngle,this.glyphAngle,this.minScale,this.maxScale)}})},{\"../util/struct_array\":440,\"../util/util\":442,\"./quads\":401,\"point-geometry\":484}],407:[function(t,e,r){\"use strict\";var n=t(\"../util/dom\"),i=t(\"point-geometry\"),a={scrollZoom:t(\"./handler/scroll_zoom\"),boxZoom:t(\"./handler/box_zoom\"),dragRotate:t(\"./handler/drag_rotate\"),dragPan:t(\"./handler/drag_pan\"),keyboard:t(\"./handler/keyboard\"),doubleClickZoom:t(\"./handler/dblclick_zoom\"),touchZoomRotate:t(\"./handler/touch_zoom_rotate\")};e.exports=function(t,e){function r(t){g(\"mouseout\",t)}function o(e){t.stop(),_=n.mousePos(b,e),g(\"mousedown\",e)}function s(e){var r=t.dragRotate&&t.dragRotate.isActive();x&&!r&&g(\"contextmenu\",x),x=null,g(\"mouseup\",e)}function l(e){if(!(t.dragPan&&t.dragPan.isActive()||t.dragRotate&&t.dragRotate.isActive())){for(var r=e.toElement||e.target;r&&r!==b;)r=r.parentNode;r===b&&g(\"mousemove\",e)}}function u(e){t.stop(),y(\"touchstart\",e),!e.touches||e.touches.length>1||(w?(clearTimeout(w),w=null,g(\"dblclick\",e)):w=setTimeout(d,300))}function c(t){y(\"touchmove\",t)}function h(t){y(\"touchend\",t)}function f(t){y(\"touchcancel\",t)}function d(){w=null}function p(t){n.mousePos(b,t).equals(_)&&g(\"click\",t)}function m(t){g(\"dblclick\",t),t.preventDefault()}function v(t){x=t,t.preventDefault()}function g(e,r){var i=n.mousePos(b,r);return t.fire(e,{lngLat:t.unproject(i),point:i,originalEvent:r})}function y(e,r){var a=n.touchPos(b,r),o=a.reduce(function(t,e,r,n){return t.add(e.div(n.length))},new i(0,0));return t.fire(e,{lngLat:t.unproject(o),point:o,lngLats:a.map(function(e){return t.unproject(e)},this),points:a,originalEvent:r})}var b=t.getCanvasContainer(),x=null,_=null,w=null;for(var M in a)t[M]=new a[M](t,e),e.interactive&&e[M]&&t[M].enable();b.addEventListener(\"mouseout\",r,!1),b.addEventListener(\"mousedown\",o,!1),b.addEventListener(\"mouseup\",s,!1),b.addEventListener(\"mousemove\",l,!1),b.addEventListener(\"touchstart\",u,!1),b.addEventListener(\"touchend\",h,!1),b.addEventListener(\"touchmove\",c,!1),b.addEventListener(\"touchcancel\",f,!1),b.addEventListener(\"click\",p,!1),b.addEventListener(\"dblclick\",m,!1),b.addEventListener(\"contextmenu\",v,!1)}},{\"../util/dom\":428,\"./handler/box_zoom\":413,\"./handler/dblclick_zoom\":414,\"./handler/drag_pan\":415,\"./handler/drag_rotate\":416,\"./handler/keyboard\":417,\"./handler/scroll_zoom\":418,\"./handler/touch_zoom_rotate\":419,\"point-geometry\":484}],408:[function(t,e,r){\"use strict\";var n=t(\"../util/util\"),i=t(\"../util/interpolate\"),a=t(\"../util/browser\"),o=t(\"../geo/lng_lat\"),s=t(\"../geo/lng_lat_bounds\"),l=t(\"point-geometry\"),u=e.exports=function(){};n.extend(u.prototype,{getCenter:function(){return this.transform.center},setCenter:function(t,e){return this.jumpTo({center:t},e),this},panBy:function(t,e,r){return this.panTo(this.transform.center,n.extend({offset:l.convert(t).mult(-1)},e),r),this},panTo:function(t,e,r){return this.easeTo(n.extend({center:t},e),r)},getZoom:function(){return this.transform.zoom},setZoom:function(t,e){return this.jumpTo({zoom:t},e),this},zoomTo:function(t,e,r){return this.easeTo(n.extend({zoom:t},e),r)},zoomIn:function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},zoomOut:function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},getBearing:function(){return this.transform.bearing},setBearing:function(t,e){return this.jumpTo({bearing:t},e),this},rotateTo:function(t,e,r){return this.easeTo(n.extend({bearing:t},e),r)},resetNorth:function(t,e){return this.rotateTo(0,n.extend({duration:1e3},t),e),this},snapToNorth:function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},getPitch:function(){return this.transform.pitch},setPitch:function(t,e){return this.jumpTo({pitch:t},e),this},fitBounds:function(t,e,r){e=n.extend({padding:0,offset:[0,0],maxZoom:1/0},e),t=s.convert(t);var i=l.convert(e.offset),a=this.transform,o=a.project(t.getNorthWest()),u=a.project(t.getSouthEast()),c=u.sub(o),h=(a.width-2*e.padding-2*Math.abs(i.x))/c.x,f=(a.height-2*e.padding-2*Math.abs(i.y))/c.y;return e.center=a.unproject(o.add(u).div(2)),e.zoom=Math.min(a.scaleZoom(a.scale*Math.min(h,f)),e.maxZoom),e.bearing=0,e.linear?this.easeTo(e,r):this.flyTo(e,r)},jumpTo:function(t,e){this.stop();var r=this.transform,n=!1,i=!1,a=!1;return\"zoom\"in t&&r.zoom!==+t.zoom&&(n=!0,r.zoom=+t.zoom),\"center\"in t&&(r.center=o.convert(t.center)),\"bearing\"in t&&r.bearing!==+t.bearing&&(i=!0,r.bearing=+t.bearing),\"pitch\"in t&&r.pitch!==+t.pitch&&(a=!0,r.pitch=+t.pitch),this.fire(\"movestart\",e).fire(\"move\",e),n&&this.fire(\"zoomstart\",e).fire(\"zoom\",e).fire(\"zoomend\",e),i&&this.fire(\"rotate\",e),a&&this.fire(\"pitch\",e),this.fire(\"moveend\",e)},easeTo:function(t,e){this.stop(),t=n.extend({offset:[0,0],duration:500,easing:n.ease},t);var r,a,s=this.transform,u=l.convert(t.offset),c=this.getZoom(),h=this.getBearing(),f=this.getPitch(),d=\"zoom\"in t?+t.zoom:c,p=\"bearing\"in t?this._normalizeBearing(t.bearing,h):h,m=\"pitch\"in t?+t.pitch:f;\"center\"in t?(r=o.convert(t.center),a=s.centerPoint.add(u)):\"around\"in t?(r=o.convert(t.around),a=s.locationPoint(r)):(a=s.centerPoint.add(u),r=s.pointLocation(a));var v=s.locationPoint(r);return!1===t.animate&&(t.duration=0),this.zooming=d!==c,this.rotating=h!==p,this.pitching=m!==f,t.noMoveStart||this.fire(\"movestart\",e),this.zooming&&this.fire(\"zoomstart\",e),clearTimeout(this._onEaseEnd),this._ease(function(t){this.zooming&&(s.zoom=i(c,d,t)),this.rotating&&(s.bearing=i(h,p,t)),this.pitching&&(s.pitch=i(f,m,t)),s.setLocationAtPoint(r,v.add(a.sub(v)._mult(t))),this.fire(\"move\",e),this.zooming&&this.fire(\"zoom\",e),this.rotating&&this.fire(\"rotate\",e),this.pitching&&this.fire(\"pitch\",e)},function(){t.delayEndEvents?this._onEaseEnd=setTimeout(this._easeToEnd.bind(this,e),t.delayEndEvents):this._easeToEnd(e)}.bind(this),t),this},_easeToEnd:function(t){var e=this.zooming;this.zooming=!1,this.rotating=!1,this.pitching=!1,e&&this.fire(\"zoomend\",t),this.fire(\"moveend\",t)},flyTo:function(t,e){function r(t){var e=(A*A-k*k+(t?-1:1)*L*L*T*T)/(2*(t?A:k)*L*T);return Math.log(Math.sqrt(e*e+1)-e)}function a(t){return(Math.exp(t)-Math.exp(-t))/2}function s(t){return(Math.exp(t)+Math.exp(-t))/2}function u(t){return a(t)/s(t)}this.stop(),t=n.extend({offset:[0,0],speed:1.2,curve:1.42,easing:n.ease},t);var c=this.transform,h=l.convert(t.offset),f=this.getZoom(),d=this.getBearing(),p=this.getPitch(),m=\"center\"in t?o.convert(t.center):this.getCenter(),v=\"zoom\"in t?+t.zoom:f,g=\"bearing\"in t?this._normalizeBearing(t.bearing,d):d,y=\"pitch\"in t?+t.pitch:p;Math.abs(c.center.lng)+Math.abs(m.lng)>180&&(c.center.lng>0&&m.lng<0?m.lng+=360:c.center.lng<0&&m.lng>0&&(m.lng-=360));var b=c.zoomScale(v-f),x=c.point,_=\"center\"in t?c.project(m).sub(h.div(b)):x,w=c.worldSize,M=t.curve,k=Math.max(c.width,c.height),A=k/b,T=_.sub(x).mag();if(\"minZoom\"in t){var S=n.clamp(Math.min(t.minZoom,f,v),c.minZoom,c.maxZoom),E=k/c.zoomScale(S-f);M=Math.sqrt(E/T*2)}var L=M*M,C=r(0),I=function(t){return s(C)/s(C+M*t)},z=function(t){return k*((s(C)*u(C+M*t)-a(C))/L)/T},D=(r(1)-C)/M;if(Math.abs(T)<1e-6){if(Math.abs(k-A)<1e-6)return this.easeTo(t);var P=A<k?-1:1;D=Math.abs(Math.log(A/k))/M,z=function(){return 0},I=function(t){return Math.exp(P*M*t)}}if(\"duration\"in t)t.duration=+t.duration;else{var O=\"screenSpeed\"in t?+t.screenSpeed/M:+t.speed;t.duration=1e3*D/O}return this.zooming=!0,d!==g&&(this.rotating=!0),p!==y&&(this.pitching=!0),this.fire(\"movestart\",e),this.fire(\"zoomstart\",e),this._ease(function(t){var r=t*D,n=z(r);c.zoom=f+c.scaleZoom(1/I(r)),c.center=c.unproject(x.add(_.sub(x).mult(n)),w),this.rotating&&(c.bearing=i(d,g,t)),this.pitching&&(c.pitch=i(p,y,t)),this.fire(\"move\",e),this.fire(\"zoom\",e),this.rotating&&this.fire(\"rotate\",e),this.pitching&&this.fire(\"pitch\",e)},function(){this.zooming=!1,this.rotating=!1,this.pitching=!1,this.fire(\"zoomend\",e),this.fire(\"moveend\",e)},t),this},isEasing:function(){return!!this._abortFn},stop:function(){return this._abortFn&&(this._abortFn(),this._finishEase()),this},_ease:function(t,e,r){this._finishFn=e,this._abortFn=a.timed(function(e){t.call(this,r.easing(e)),1===e&&this._finishEase()},!1===r.animate?0:r.duration,this)},_finishEase:function(){delete this._abortFn;var t=this._finishFn;delete this._finishFn,t.call(this)},_normalizeBearing:function(t,e){t=n.wrap(t,-180,180);var r=Math.abs(t-e);return Math.abs(t-360-e)<r&&(t-=360),Math.abs(t+360-e)<r&&(t+=360),t},_updateEasing:function(t,e,r){var i;if(this.ease){var a=this.ease,o=(Date.now()-a.start)/a.duration,s=a.easing(o+.01)-a.easing(o),l=.27/Math.sqrt(s*s+1e-4)*.01,u=Math.sqrt(.0729-l*l);i=n.bezier(l,u,.25,1)}else i=r?n.bezier.apply(n,r):n.ease;return this.ease={start:(new Date).getTime(),to:Math.pow(2,e),duration:t,easing:i},i}})},{\"../geo/lng_lat\":339,\"../geo/lng_lat_bounds\":340,\"../util/browser\":426,\"../util/interpolate\":436,\"../util/util\":442,\"point-geometry\":484}],409:[function(t,e,r){\"use strict\";function n(t){o.setOptions(this,t)}var i=t(\"./control\"),a=t(\"../../util/dom\"),o=t(\"../../util/util\");e.exports=n,n.createAttributionString=function(t){var e=[];for(var r in t){var n=t[r];n.attribution&&e.indexOf(n.attribution)<0&&e.push(n.attribution)}return e.sort(function(t,e){return t.length-e.length}),e=e.filter(function(t,r){for(var n=r+1;n<e.length;n++)if(e[n].indexOf(t)>=0)return!1;return!0}),e.join(\" | \")},n.prototype=o.inherit(i,{options:{position:\"bottom-right\"},onAdd:function(t){var e=this._container=a.create(\"div\",\"mapboxgl-ctrl-attrib\",t.getContainer());return this._update(),t.on(\"source.load\",this._update.bind(this)),t.on(\"source.change\",this._update.bind(this)),t.on(\"source.remove\",this._update.bind(this)),t.on(\"moveend\",this._updateEditLink.bind(this)),e},_update:function(){this._map.style&&(this._container.innerHTML=n.createAttributionString(this._map.style.sources)),this._editLink=this._container.getElementsByClassName(\"mapbox-improve-map\")[0],this._updateEditLink()},_updateEditLink:function(){if(this._editLink){var t=this._map.getCenter();this._editLink.href=\"https://www.mapbox.com/map-feedback/#/\"+t.lng+\"/\"+t.lat+\"/\"+Math.round(this._map.getZoom()+1)}}})},{\"../../util/dom\":428,\"../../util/util\":442,\"./control\":410}],410:[function(t,e,r){\"use strict\";function n(){}var i=t(\"../../util/util\"),a=t(\"../../util/evented\");e.exports=n,n.prototype={addTo:function(t){this._map=t;var e=this._container=this.onAdd(t);if(this.options&&this.options.position){var r=this.options.position,n=t._controlCorners[r];e.className+=\" mapboxgl-ctrl\",-1!==r.indexOf(\"bottom\")?n.insertBefore(e,n.firstChild):n.appendChild(e)}return this},remove:function(){return this._container.parentNode.removeChild(this._container),this.onRemove&&this.onRemove(this._map),this._map=null,this}},i.extend(n.prototype,a)},{\"../../util/evented\":434,\"../../util/util\":442}],411:[function(t,e,r){\"use strict\";function n(t){s.setOptions(this,t)}var i=t(\"./control\"),a=t(\"../../util/browser\"),o=t(\"../../util/dom\"),s=t(\"../../util/util\");e.exports=n;var l={enableHighAccuracy:!1,timeout:6e3};n.prototype=s.inherit(i,{options:{position:\"top-right\"},onAdd:function(t){var e=this._container=o.create(\"div\",\"mapboxgl-ctrl-group\",t.getContainer());return a.supportsGeolocation?(this._container.addEventListener(\"contextmenu\",this._onContextMenu.bind(this)),this._geolocateButton=o.create(\"button\",\"mapboxgl-ctrl-icon mapboxgl-ctrl-geolocate\",this._container),this._geolocateButton.type=\"button\",this._geolocateButton.addEventListener(\"click\",this._onClickGeolocate.bind(this)),e):e},_onContextMenu:function(t){t.preventDefault()},_onClickGeolocate:function(){navigator.geolocation.getCurrentPosition(this._success.bind(this),this._error.bind(this),l),this._timeoutId=setTimeout(this._finish.bind(this),1e4)},_success:function(t){this._map.jumpTo({center:[t.coords.longitude,t.coords.latitude],zoom:17,bearing:0,pitch:0}),this.fire(\"geolocate\",t),this._finish()},_error:function(t){this.fire(\"error\",t),this._finish()},_finish:function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0}})},{\"../../util/browser\":426,\"../../util/dom\":428,\"../../util/util\":442,\"./control\":410}],412:[function(t,e,r){\"use strict\";function n(t){s.setOptions(this,t)}function i(t){return new MouseEvent(t.type,{button:2,buttons:2,bubbles:!0,cancelable:!0,detail:t.detail,view:t.view,screenX:t.screenX,screenY:t.screenY,clientX:t.clientX,clientY:t.clientY,movementX:t.movementX,movementY:t.movementY,ctrlKey:t.ctrlKey,shiftKey:t.shiftKey,altKey:t.altKey,metaKey:t.metaKey})}var a=t(\"./control\"),o=t(\"../../util/dom\"),s=t(\"../../util/util\");e.exports=n,n.prototype=s.inherit(a,{options:{position:\"top-right\"},onAdd:function(t){var e=\"mapboxgl-ctrl\",r=this._container=o.create(\"div\",e+\"-group\",t.getContainer());return this._container.addEventListener(\"contextmenu\",this._onContextMenu.bind(this)),this._zoomInButton=this._createButton(e+\"-icon \"+e+\"-zoom-in\",t.zoomIn.bind(t)),this._zoomOutButton=this._createButton(e+\"-icon \"+e+\"-zoom-out\",t.zoomOut.bind(t)),this._compass=this._createButton(e+\"-icon \"+e+\"-compass\",t.resetNorth.bind(t)),this._compassArrow=o.create(\"div\",\"arrow\",this._compass),this._compass.addEventListener(\"mousedown\",this._onCompassDown.bind(this)),this._onCompassMove=this._onCompassMove.bind(this),this._onCompassUp=this._onCompassUp.bind(this),t.on(\"rotate\",this._rotateCompassArrow.bind(this)),this._rotateCompassArrow(),this._el=t.getCanvasContainer(),r},_onContextMenu:function(t){t.preventDefault()},_onCompassDown:function(t){0===t.button&&(o.disableDrag(),document.addEventListener(\"mousemove\",this._onCompassMove),document.addEventListener(\"mouseup\",this._onCompassUp),this._el.dispatchEvent(i(t)),t.stopPropagation())},_onCompassMove:function(t){0===t.button&&(this._el.dispatchEvent(i(t)),t.stopPropagation())},_onCompassUp:function(t){0===t.button&&(document.removeEventListener(\"mousemove\",this._onCompassMove),document.removeEventListener(\"mouseup\",this._onCompassUp),o.enableDrag(),this._el.dispatchEvent(i(t)),t.stopPropagation())},_createButton:function(t,e){var r=o.create(\"button\",t,this._container);return r.type=\"button\",r.addEventListener(\"click\",function(){e()}),r},_rotateCompassArrow:function(){var t=\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassArrow.style.transform=t}})},{\"../../util/dom\":428,\"../../util/util\":442,\"./control\":410}],413:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),o.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../geo/lng_lat_bounds\"),o=t(\"../../util/util\");e.exports=n,n.prototype={_enabled:!1,_active:!1,isEnabled:function(){return this._enabled},isActive:function(){return this._active},enable:function(){this.isEnabled()||(this._el.addEventListener(\"mousedown\",this._onMouseDown,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"mousedown\",this._onMouseDown),this._enabled=!1)},_onMouseDown:function(t){t.shiftKey&&0===t.button&&(document.addEventListener(\"mousemove\",this._onMouseMove,!1),document.addEventListener(\"keydown\",this._onKeyDown,!1),document.addEventListener(\"mouseup\",this._onMouseUp,!1),i.disableDrag(),this._startPos=i.mousePos(this._el,t),this._active=!0)},_onMouseMove:function(t){var e=this._startPos,r=i.mousePos(this._el,t);this._box||(this._box=i.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var n=Math.min(e.x,r.x),a=Math.max(e.x,r.x),o=Math.min(e.y,r.y),s=Math.max(e.y,r.y);i.setTransform(this._box,\"translate(\"+n+\"px,\"+o+\"px)\"),this._box.style.width=a-n+\"px\",this._box.style.height=s-o+\"px\"},_onMouseUp:function(t){if(0===t.button){var e=this._startPos,r=i.mousePos(this._el,t),n=new a(this._map.unproject(e),this._map.unproject(r));this._finish(),e.x===r.x&&e.y===r.y?this._fireEvent(\"boxzoomcancel\",t):this._map.fitBounds(n,{linear:!0}).fire(\"boxzoomend\",{originalEvent:t,boxZoomBounds:n})}},_onKeyDown:function(t){27===t.keyCode&&(this._finish(),this._fireEvent(\"boxzoomcancel\",t))},_finish:function(){this._active=!1,document.removeEventListener(\"mousemove\",this._onMouseMove,!1),document.removeEventListener(\"keydown\",this._onKeyDown,!1),document.removeEventListener(\"mouseup\",this._onMouseUp,!1),this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(this._box.parentNode.removeChild(this._box),this._box=null),i.enableDrag()},_fireEvent:function(t,e){return this._map.fire(t,{originalEvent:e})}}},{\"../../geo/lng_lat_bounds\":340,\"../../util/dom\":428,\"../../util/util\":442}],414:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._onDblClick=this._onDblClick.bind(this)}e.exports=n,n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._map.on(\"dblclick\",this._onDblClick),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._map.off(\"dblclick\",this._onDblClick),this._enabled=!1)},_onDblClick:function(t){this._map.zoomTo(this._map.getZoom()+(t.originalEvent.shiftKey?-1:1),{around:t.lngLat},t)}}},{}],415:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),a.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../util/util\");e.exports=n;var o=a.bezier(0,0,.3,1);n.prototype={_enabled:!1,_active:!1,isEnabled:function(){return this._enabled},isActive:function(){return this._active},enable:function(){this.isEnabled()||(this._el.addEventListener(\"mousedown\",this._onDown),this._el.addEventListener(\"touchstart\",this._onDown),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"mousedown\",this._onDown),this._el.removeEventListener(\"touchstart\",this._onDown),this._enabled=!1)},_onDown:function(t){this._ignoreEvent(t)||this.isActive()||(t.touches?(document.addEventListener(\"touchmove\",this._onMove),document.addEventListener(\"touchend\",this._onTouchEnd)):(document.addEventListener(\"mousemove\",this._onMove),document.addEventListener(\"mouseup\",this._onMouseUp)),this._active=!1,this._startPos=this._pos=i.mousePos(this._el,t),this._inertia=[[Date.now(),this._pos]])},_onMove:function(t){if(!this._ignoreEvent(t)){this.isActive()||(this._active=!0,this._fireEvent(\"dragstart\",t),this._fireEvent(\"movestart\",t));var e=i.mousePos(this._el,t),r=this._map;r.stop(),this._drainInertiaBuffer(),this._inertia.push([Date.now(),e]),r.transform.setLocationAtPoint(r.transform.pointLocation(this._pos),e),this._fireEvent(\"drag\",t),this._fireEvent(\"move\",t),this._pos=e,t.preventDefault()}},_onUp:function(t){if(this.isActive()){this._active=!1,this._fireEvent(\"dragend\",t),this._drainInertiaBuffer();var e=function(){this._fireEvent(\"moveend\",t)}.bind(this),r=this._inertia;if(r.length<2)return void e();var n=r[r.length-1],i=r[0],a=n[1].sub(i[1]),s=(n[0]-i[0])/1e3;if(0===s||n[1].equals(i[1]))return void e();var l=a.mult(.3/s),u=l.mag();u>1400&&(u=1400,l._unit()._mult(u));var c=u/750,h=l.mult(-c/2);this._map.panBy(h,{duration:1e3*c,easing:o,noMoveStart:!0},{originalEvent:t})}},_onMouseUp:function(t){this._ignoreEvent(t)||(this._onUp(t),document.removeEventListener(\"mousemove\",this._onMove),document.removeEventListener(\"mouseup\",this._onMouseUp))},_onTouchEnd:function(t){this._ignoreEvent(t)||(this._onUp(t),document.removeEventListener(\"touchmove\",this._onMove),document.removeEventListener(\"touchend\",this._onTouchEnd))},_fireEvent:function(t,e){return this._map.fire(t,{originalEvent:e})},_ignoreEvent:function(t){var e=this._map;if(e.boxZoom&&e.boxZoom.isActive())return!0;if(e.dragRotate&&e.dragRotate.isActive())return!0;if(t.touches)return t.touches.length>1;if(t.ctrlKey)return!0;return\"mousemove\"===t.type?!1&t.buttons:0!==t.button},_drainInertiaBuffer:function(){for(var t=this._inertia,e=Date.now();t.length>0&&e-t[0][0]>160;)t.shift()}}},{\"../../util/dom\":428,\"../../util/util\":442}],416:[function(t,e,r){\"use strict\";function n(t,e){this._map=t,this._el=t.getCanvasContainer(),this._bearingSnap=e.bearingSnap,o.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"point-geometry\"),o=t(\"../../util/util\");e.exports=n;var s=o.bezier(0,0,.25,1);n.prototype={_enabled:!1,_active:!1,isEnabled:function(){return this._enabled},isActive:function(){return this._active},enable:function(){this.isEnabled()||(this._el.addEventListener(\"mousedown\",this._onDown),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"mousedown\",this._onDown),this._enabled=!1)},_onDown:function(t){if(!this._ignoreEvent(t)&&!this.isActive()){document.addEventListener(\"mousemove\",this._onMove),document.addEventListener(\"mouseup\",this._onUp),this._active=!1,this._inertia=[[Date.now(),this._map.getBearing()]],this._startPos=this._pos=i.mousePos(this._el,t),this._center=this._map.transform.centerPoint;var e=this._startPos.sub(this._center);e.mag()<200&&(this._center=this._startPos.add(new a(-200,0)._rotate(e.angle()))),t.preventDefault()}},_onMove:function(t){if(!this._ignoreEvent(t)){this.isActive()||(this._active=!0,this._fireEvent(\"rotatestart\",t),this._fireEvent(\"movestart\",t));var e=this._map;e.stop();var r=this._pos,n=i.mousePos(this._el,t),a=this._center,o=r.sub(a).angleWith(n.sub(a))/Math.PI*180,s=e.getBearing()-o,l=this._inertia,u=l[l.length-1];this._drainInertiaBuffer(),l.push([Date.now(),e._normalizeBearing(s,u[1])]),e.transform.bearing=s,this._fireEvent(\"rotate\",t),this._fireEvent(\"move\",t),this._pos=n}},_onUp:function(t){if(!this._ignoreEvent(t)&&(document.removeEventListener(\"mousemove\",this._onMove),document.removeEventListener(\"mouseup\",this._onUp),this.isActive())){this._active=!1,this._fireEvent(\"rotateend\",t),this._drainInertiaBuffer();var e=this._map,r=e.getBearing(),n=this._inertia,i=function(){Math.abs(r)<this._bearingSnap?e.resetNorth({noMoveStart:!0},{originalEvent:t}):this._fireEvent(\"moveend\",t)}.bind(this);if(n.length<2)return void i();var a=n[0],o=n[n.length-1],l=n[n.length-2],u=e._normalizeBearing(r,l[1]),c=o[1]-a[1],h=c<0?-1:1,f=(o[0]-a[0])/1e3;if(0===c||0===f)return void i();var d=Math.abs(c*(.25/f));d>180&&(d=180);var p=d/180;u+=h*d*(p/2),Math.abs(e._normalizeBearing(u,0))<this._bearingSnap&&(u=e._normalizeBearing(0,u)),e.rotateTo(u,{duration:1e3*p,easing:s,noMoveStart:!0},{originalEvent:t})}},_fireEvent:function(t,e){return this._map.fire(t,{originalEvent:e})},_ignoreEvent:function(t){var e=this._map;if(e.boxZoom&&e.boxZoom.isActive())return!0;if(e.dragPan&&e.dragPan.isActive())return!0;if(t.touches)return t.touches.length>1;var r=t.ctrlKey?1:2,n=t.ctrlKey?0:2;return\"mousemove\"===t.type?t.buttons&0===r:t.button!==n},_drainInertiaBuffer:function(){for(var t=this._inertia,e=Date.now();t.length>0&&e-t[0][0]>160;)t.shift()}}},{\"../../util/dom\":428,\"../../util/util\":442,\"point-geometry\":484}],417:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),this._onKeyDown=this._onKeyDown.bind(this)}e.exports=n;n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._el.addEventListener(\"keydown\",this._onKeyDown,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"keydown\",this._onKeyDown),this._enabled=!1)},_onKeyDown:function(t){if(!(t.altKey||t.ctrlKey||t.metaKey)){var e=this._map,r={originalEvent:t};if(!e.isEasing())switch(t.keyCode){case 61:case 107:case 171:case 187:e.zoomTo(Math.round(e.getZoom())+(t.shiftKey?2:1),r);break;case 189:case 109:case 173:e.zoomTo(Math.round(e.getZoom())-(t.shiftKey?2:1),r);break;case 37:t.shiftKey?e.easeTo({bearing:e.getBearing()-2},r):(t.preventDefault(),e.panBy([-80,0],r));break;case 39:t.shiftKey?e.easeTo({bearing:e.getBearing()+2},r):(t.preventDefault(),e.panBy([80,0],r));break;case 38:t.shiftKey?e.easeTo({pitch:e.getPitch()+5},r):(t.preventDefault(),e.panBy([0,-80],r));break;case 40:t.shiftKey?e.easeTo({pitch:Math.max(e.getPitch()-5,0)},r):(t.preventDefault(),e.panBy([0,80],r))}}}}},{}],418:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),o.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../util/browser\"),o=t(\"../../util/util\");e.exports=n;var s=\"undefined\"!=typeof navigator?navigator.userAgent.toLowerCase():\"\",l=-1!==s.indexOf(\"firefox\"),u=-1!==s.indexOf(\"safari\")&&-1===s.indexOf(\"chrom\");n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._el.addEventListener(\"wheel\",this._onWheel,!1),this._el.addEventListener(\"mousewheel\",this._onWheel,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"wheel\",this._onWheel),this._el.removeEventListener(\"mousewheel\",this._onWheel),this._enabled=!1)},_onWheel:function(t){var e;\"wheel\"===t.type?(e=t.deltaY,l&&t.deltaMode===window.WheelEvent.DOM_DELTA_PIXEL&&(e/=a.devicePixelRatio),t.deltaMode===window.WheelEvent.DOM_DELTA_LINE&&(e*=40)):\"mousewheel\"===t.type&&(e=-t.wheelDeltaY,u&&(e/=3));var r=a.now(),n=r-(this._time||0);this._pos=i.mousePos(this._el,t),this._time=r,0!==e&&e%4.000244140625==0?(this._type=\"wheel\",e=Math.floor(e/4)):0!==e&&Math.abs(e)<4?this._type=\"trackpad\":n>400?(this._type=null,this._lastValue=e,this._timeout=setTimeout(this._onTimeout,40)):this._type||(this._type=Math.abs(n*e)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,e+=this._lastValue)),t.shiftKey&&e&&(e/=4),this._type&&this._zoom(-e,t),t.preventDefault()},_onTimeout:function(){this._type=\"wheel\",this._zoom(-this._lastValue)},_zoom:function(t,e){if(0!==t){var r=this._map,n=2/(1+Math.exp(-Math.abs(t/100)));t<0&&0!==n&&(n=1/n);var i=r.ease?r.ease.to:r.transform.scale,a=r.transform.scaleZoom(i*n);r.zoomTo(a,{duration:0,around:r.unproject(this._pos),delayEndEvents:200},{originalEvent:e})}}}},{\"../../util/browser\":426,\"../../util/dom\":428,\"../../util/util\":442}],419:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),a.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../util/util\");e.exports=n;var o=a.bezier(0,0,.15,1);n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._el.addEventListener(\"touchstart\",this._onStart,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"touchstart\",this._onStart),this._enabled=!1)},disableRotation:function(){this._rotationDisabled=!0},enableRotation:function(){this._rotationDisabled=!1},_onStart:function(t){if(2===t.touches.length){var e=i.mousePos(this._el,t.touches[0]),r=i.mousePos(this._el,t.touches[1]);this._startVec=e.sub(r),this._startScale=this._map.transform.scale,this._startBearing=this._map.transform.bearing,this._gestureIntent=void 0,this._inertia=[],\n",
       "document.addEventListener(\"touchmove\",this._onMove,!1),document.addEventListener(\"touchend\",this._onEnd,!1)}},_onMove:function(t){if(2===t.touches.length){var e=i.mousePos(this._el,t.touches[0]),r=i.mousePos(this._el,t.touches[1]),n=e.add(r).div(2),a=e.sub(r),o=a.mag()/this._startVec.mag(),s=this._rotationDisabled?0:180*a.angleWith(this._startVec)/Math.PI,l=this._map;if(this._gestureIntent){var u={duration:0,around:l.unproject(n)};\"rotate\"===this._gestureIntent&&(u.bearing=this._startBearing+s),\"zoom\"!==this._gestureIntent&&\"rotate\"!==this._gestureIntent||(u.zoom=l.transform.scaleZoom(this._startScale*o)),l.stop(),this._drainInertiaBuffer(),this._inertia.push([Date.now(),o,n]),l.easeTo(u,{originalEvent:t})}else{var c=Math.abs(1-o)>.15;Math.abs(s)>4?this._gestureIntent=\"rotate\":c&&(this._gestureIntent=\"zoom\"),this._gestureIntent&&(this._startVec=a,this._startScale=l.transform.scale,this._startBearing=l.transform.bearing)}t.preventDefault()}},_onEnd:function(t){document.removeEventListener(\"touchmove\",this._onMove),document.removeEventListener(\"touchend\",this._onEnd),this._drainInertiaBuffer();var e=this._inertia,r=this._map;if(e.length<2)return void r.snapToNorth({},{originalEvent:t});var n=e[e.length-1],i=e[0],a=r.transform.scaleZoom(this._startScale*n[1]),s=r.transform.scaleZoom(this._startScale*i[1]),l=a-s,u=(n[0]-i[0])/1e3,c=n[2];if(0===u||a===s)return void r.snapToNorth({},{originalEvent:t});var h=.15*l/u;Math.abs(h)>2.5&&(h=h>0?2.5:-2.5);var f=1e3*Math.abs(h/(12*.15)),d=a+h*f/2e3;d<0&&(d=0),r.easeTo({zoom:d,duration:f,easing:o,around:r.unproject(c)},{originalEvent:t})},_drainInertiaBuffer:function(){for(var t=this._inertia,e=Date.now();t.length>2&&e-t[0][0]>160;)t.shift()}}},{\"../../util/dom\":428,\"../../util/util\":442}],420:[function(t,e,r){\"use strict\";function n(){i.bindAll([\"_onHashChange\",\"_updateHash\"],this)}e.exports=n;var i=t(\"../util/util\");n.prototype={addTo:function(t){return this._map=t,window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},remove:function(){return window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),delete this._map,this},_onHashChange:function(){var t=location.hash.replace(\"#\",\"\").split(\"/\");return t.length>=3&&(this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:+(t[3]||0)}),!0)},_updateHash:function(){var t=this._map.getCenter(),e=this._map.getZoom(),r=this._map.getBearing(),n=Math.max(0,Math.ceil(Math.log(e)/Math.LN2)),i=\"#\"+Math.round(100*e)/100+\"/\"+t.lat.toFixed(n)+\"/\"+t.lng.toFixed(n)+(r?\"/\"+Math.round(10*r)/10:\"\");window.history.replaceState(\"\",\"\",i)}}},{\"../util/util\":442}],421:[function(t,e,r){\"use strict\";function n(t){t.parentNode&&t.parentNode.removeChild(t)}var i=t(\"../util/canvas\"),a=t(\"../util/util\"),o=t(\"../util/browser\"),s=t(\"../util/browser\").window,l=t(\"../util/evented\"),u=t(\"../util/dom\"),c=t(\"../style/style\"),h=t(\"../style/animation_loop\"),f=t(\"../render/painter\"),d=t(\"../geo/transform\"),p=t(\"./hash\"),m=t(\"./bind_handlers\"),v=t(\"./camera\"),g=t(\"../geo/lng_lat\"),y=t(\"../geo/lng_lat_bounds\"),b=t(\"point-geometry\"),x=t(\"./control/attribution\"),_={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:0,maxZoom:20,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,bearingSnap:7,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,workerCount:Math.max(o.hardwareConcurrency-1,1)},w=e.exports=function(t){if(t=a.extend({},_,t),t.workerCount<1)throw new Error(\"workerCount must an integer greater than or equal to 1.\");this._interactive=t.interactive,this._failIfMajorPerformanceCaveat=t.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=t.preserveDrawingBuffer,this._trackResize=t.trackResize,this._workerCount=t.workerCount,this._bearingSnap=t.bearingSnap,\"string\"==typeof t.container?this._container=document.getElementById(t.container):this._container=t.container,this.animationLoop=new h,this.transform=new d(t.minZoom,t.maxZoom),t.maxBounds&&this.setMaxBounds(t.maxBounds),a.bindAll([\"_forwardStyleEvent\",\"_forwardSourceEvent\",\"_forwardLayerEvent\",\"_forwardTileEvent\",\"_onStyleLoad\",\"_onStyleChange\",\"_onSourceAdd\",\"_onSourceRemove\",\"_onSourceUpdate\",\"_onWindowOnline\",\"_onWindowResize\",\"_update\",\"_render\"],this),this._setupContainer(),this._setupPainter(),this.on(\"move\",this._update.bind(this,!1)),this.on(\"zoom\",this._update.bind(this,!0)),this.on(\"moveend\",function(){this.animationLoop.set(300),this._rerender()}.bind(this)),void 0!==s&&(s.addEventListener(\"online\",this._onWindowOnline,!1),s.addEventListener(\"resize\",this._onWindowResize,!1)),m(this,t),this._hash=t.hash&&(new p).addTo(this),this._hash&&this._hash._onHashChange()||this.jumpTo({center:t.center,zoom:t.zoom,bearing:t.bearing,pitch:t.pitch}),this.stacks={},this._classes=[],this.resize(),t.classes&&this.setClasses(t.classes),t.style&&this.setStyle(t.style),t.attributionControl&&this.addControl(new x(t.attributionControl));var e=this.fire.bind(this,\"error\");this.on(\"style.error\",e),this.on(\"source.error\",e),this.on(\"tile.error\",e),this.on(\"layer.error\",e)};a.extend(w.prototype,l),a.extend(w.prototype,v.prototype),a.extend(w.prototype,{addControl:function(t){return t.addTo(this),this},addClass:function(t,e){return this._classes.indexOf(t)>=0||\"\"===t?this:(this._classes.push(t),this._classOptions=e,this.style&&this.style.updateClasses(),this._update(!0))},removeClass:function(t,e){var r=this._classes.indexOf(t);return r<0||\"\"===t?this:(this._classes.splice(r,1),this._classOptions=e,this.style&&this.style.updateClasses(),this._update(!0))},setClasses:function(t,e){for(var r={},n=0;n<t.length;n++)\"\"!==t[n]&&(r[t[n]]=!0);return this._classes=Object.keys(r),this._classOptions=e,this.style&&this.style.updateClasses(),this._update(!0)},hasClass:function(t){return this._classes.indexOf(t)>=0},getClasses:function(){return this._classes},resize:function(){var t=0,e=0;return this._container&&(t=this._container.offsetWidth||400,e=this._container.offsetHeight||300),this._canvas.resize(t,e),this.transform.resize(t,e),this.painter.resize(t,e),this.fire(\"movestart\").fire(\"move\").fire(\"resize\").fire(\"moveend\")},getBounds:function(){var t=new y(this.transform.pointLocation(new b(0,0)),this.transform.pointLocation(this.transform.size));return(this.transform.angle||this.transform.pitch)&&(t.extend(this.transform.pointLocation(new b(this.transform.size.x,0))),t.extend(this.transform.pointLocation(new b(0,this.transform.size.y)))),t},setMaxBounds:function(t){if(t){var e=y.convert(t);this.transform.lngRange=[e.getWest(),e.getEast()],this.transform.latRange=[e.getSouth(),e.getNorth()],this.transform._constrain(),this._update()}else null!==t&&void 0!==t||(this.transform.lngRange=[],this.transform.latRange=[],this._update());return this},setMinZoom:function(t){if((t=null===t||void 0===t?0:t)>=0&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between 0 and the current maxZoom, inclusive\")},setMaxZoom:function(t){if((t=null===t||void 0===t?20:t)>=this.transform.minZoom&&t<=20)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be between the current minZoom and 20, inclusive\")},project:function(t){return this.transform.locationPoint(g.convert(t))},unproject:function(t){return this.transform.pointLocation(b.convert(t))},queryRenderedFeatures:function(){var t,e={};return 2===arguments.length?(t=arguments[0],e=arguments[1]):1===arguments.length&&function(t){return t instanceof b||Array.isArray(t)}(arguments[0])?t=arguments[0]:1===arguments.length&&(e=arguments[0]),this.style.queryRenderedFeatures(this._makeQueryGeometry(t),e,this.transform.zoom,this.transform.angle)},_makeQueryGeometry:function(t){void 0===t&&(t=[b.convert([0,0]),b.convert([this.transform.width,this.transform.height])]);var e;if(t instanceof b||\"number\"==typeof t[0])e=[b.convert(t)];else{var r=[b.convert(t[0]),b.convert(t[1])];e=[r[0],new b(r[1].x,r[0].y),r[1],new b(r[0].x,r[1].y),r[0]]}return e=e.map(function(t){return this.transform.pointCoordinate(t)}.bind(this))},querySourceFeatures:function(t,e){return this.style.querySourceFeatures(t,e)},setStyle:function(t){return this.style&&(this.style.off(\"load\",this._onStyleLoad).off(\"error\",this._forwardStyleEvent).off(\"change\",this._onStyleChange).off(\"source.add\",this._onSourceAdd).off(\"source.remove\",this._onSourceRemove).off(\"source.load\",this._onSourceUpdate).off(\"source.error\",this._forwardSourceEvent).off(\"source.change\",this._onSourceUpdate).off(\"layer.add\",this._forwardLayerEvent).off(\"layer.remove\",this._forwardLayerEvent).off(\"layer.error\",this._forwardLayerEvent).off(\"tile.add\",this._forwardTileEvent).off(\"tile.remove\",this._forwardTileEvent).off(\"tile.load\",this._update).off(\"tile.error\",this._forwardTileEvent).off(\"tile.stats\",this._forwardTileEvent)._remove(),this.off(\"rotate\",this.style._redoPlacement),this.off(\"pitch\",this.style._redoPlacement)),t?(this.style=t instanceof c?t:new c(t,this.animationLoop,this._workerCount),this.style.on(\"load\",this._onStyleLoad).on(\"error\",this._forwardStyleEvent).on(\"change\",this._onStyleChange).on(\"source.add\",this._onSourceAdd).on(\"source.remove\",this._onSourceRemove).on(\"source.load\",this._onSourceUpdate).on(\"source.error\",this._forwardSourceEvent).on(\"source.change\",this._onSourceUpdate).on(\"layer.add\",this._forwardLayerEvent).on(\"layer.remove\",this._forwardLayerEvent).on(\"layer.error\",this._forwardLayerEvent).on(\"tile.add\",this._forwardTileEvent).on(\"tile.remove\",this._forwardTileEvent).on(\"tile.load\",this._update).on(\"tile.error\",this._forwardTileEvent).on(\"tile.stats\",this._forwardTileEvent),this.on(\"rotate\",this.style._redoPlacement),this.on(\"pitch\",this.style._redoPlacement),this):(this.style=null,this)},getStyle:function(){if(this.style)return this.style.serialize()},addSource:function(t,e){return this.style.addSource(t,e),this._update(!0),this},addSourceType:function(t,e,r){return this.style.addSourceType(t,e,r)},removeSource:function(t){return this.style.removeSource(t),this._update(!0),this},getSource:function(t){return this.style.getSource(t)},addLayer:function(t,e){return this.style.addLayer(t,e),this._update(!0),this},removeLayer:function(t){return this.style.removeLayer(t),this._update(!0),this},getLayer:function(t){return this.style.getLayer(t)},setFilter:function(t,e){return this.style.setFilter(t,e),this._update(!0),this},setLayerZoomRange:function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0),this},getFilter:function(t){return this.style.getFilter(t)},setPaintProperty:function(t,e,r,n){return this.style.setPaintProperty(t,e,r,n),this._update(!0),this},getPaintProperty:function(t,e,r){return this.style.getPaintProperty(t,e,r)},setLayoutProperty:function(t,e,r){return this.style.setLayoutProperty(t,e,r),this._update(!0),this},getLayoutProperty:function(t,e){return this.style.getLayoutProperty(t,e)},getContainer:function(){return this._container},getCanvasContainer:function(){return this._canvasContainer},getCanvas:function(){return this._canvas.getElement()},_setupContainer:function(){var t=this._container;t.classList.add(\"mapboxgl-map\");var e=this._canvasContainer=u.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=new i(this,e);var r=this._controlContainer=u.create(\"div\",\"mapboxgl-control-container\",t),n=this._controlCorners={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach(function(t){n[t]=u.create(\"div\",\"mapboxgl-ctrl-\"+t,r)})},_setupPainter:function(){var t=this._canvas.getWebGLContext({failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer});if(!t)return void this.fire(\"error\",{error:new Error(\"Failed to initialize WebGL\")});this.painter=new f(t,this.transform)},_contextLost:function(t){t.preventDefault(),this._frameId&&o.cancelFrame(this._frameId),this.fire(\"webglcontextlost\",{originalEvent:t})},_contextRestored:function(t){this._setupPainter(),this.resize(),this._update(),this.fire(\"webglcontextrestored\",{originalEvent:t})},loaded:function(){return!this._styleDirty&&!this._sourcesDirty&&!(!this.style||!this.style.loaded())},_update:function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this._rerender(),this):this},_render:function(){try{this.style&&this._styleDirty&&(this._styleDirty=!1,this.style.update(this._classes,this._classOptions),this._classOptions=null,this.style._recalculate(this.transform.zoom)),this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this.painter.render(this.style,{debug:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,vertices:this.vertices,rotating:this.rotating,zooming:this.zooming}),this.fire(\"render\"),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(\"load\")),this._frameId=null,this.animationLoop.stopped()||(this._styleDirty=!0),(this._sourcesDirty||this._repaint||this._styleDirty)&&this._rerender()}catch(t){this.fire(\"error\",{error:t})}return this},remove:function(){this._hash&&this._hash.remove(),o.cancelFrame(this._frameId),this.setStyle(null),void 0!==s&&s.removeEventListener(\"resize\",this._onWindowResize,!1);var t=this.painter.gl.getExtension(\"WEBGL_lose_context\");t&&t.loseContext(),n(this._canvasContainer),n(this._controlContainer),this._container.classList.remove(\"mapboxgl-map\")},_rerender:function(){this.style&&!this._frameId&&(this._frameId=o.frame(this._render))},_forwardStyleEvent:function(t){this.fire(\"style.\"+t.type,a.extend({style:t.target},t))},_forwardSourceEvent:function(t){this.fire(t.type,a.extend({style:t.target},t))},_forwardLayerEvent:function(t){this.fire(t.type,a.extend({style:t.target},t))},_forwardTileEvent:function(t){this.fire(t.type,a.extend({style:t.target},t))},_onStyleLoad:function(t){this.transform.unmodified&&this.jumpTo(this.style.stylesheet),this.style.update(this._classes,{transition:!1}),this._forwardStyleEvent(t)},_onStyleChange:function(t){this._update(!0),this._forwardStyleEvent(t)},_onSourceAdd:function(t){var e=t.source;e.onAdd&&e.onAdd(this),this._forwardSourceEvent(t)},_onSourceRemove:function(t){var e=t.source;e.onRemove&&e.onRemove(this),this._forwardSourceEvent(t)},_onSourceUpdate:function(t){this._update(),this._forwardSourceEvent(t)},_onWindowOnline:function(){this._update()},_onWindowResize:function(){this._trackResize&&this.stop().resize()._update()}}),a.extendAll(w.prototype,{_showTileBoundaries:!1,get showTileBoundaries(){return this._showTileBoundaries},set showTileBoundaries(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},_showCollisionBoxes:!1,get showCollisionBoxes(){return this._showCollisionBoxes},set showCollisionBoxes(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,this.style._redoPlacement())},_showOverdrawInspector:!1,get showOverdrawInspector(){return this._showOverdrawInspector},set showOverdrawInspector(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},_repaint:!1,get repaint(){return this._repaint},set repaint(t){this._repaint=t,this._update()},_vertices:!1,get vertices(){return this._vertices},set vertices(t){this._vertices=t,this._update()}})},{\"../geo/lng_lat\":339,\"../geo/lng_lat_bounds\":340,\"../geo/transform\":341,\"../render/painter\":355,\"../style/animation_loop\":375,\"../style/style\":378,\"../util/browser\":426,\"../util/canvas\":427,\"../util/dom\":428,\"../util/evented\":434,\"../util/util\":442,\"./bind_handlers\":407,\"./camera\":408,\"./control/attribution\":409,\"./hash\":420,\"point-geometry\":484}],422:[function(t,e,r){\"use strict\";function n(t,e){t||(t=i.create(\"div\")),t.classList.add(\"mapboxgl-marker\"),this._el=t,this._offset=o.convert(e&&e.offset||[0,0]),this._update=this._update.bind(this)}e.exports=n;var i=t(\"../util/dom\"),a=t(\"../geo/lng_lat\"),o=t(\"point-geometry\");n.prototype={addTo:function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._el),t.on(\"move\",this._update),this._update(),this},remove:function(){this._map&&(this._map.off(\"move\",this._update),this._map=null);var t=this._el.parentNode;return t&&t.removeChild(this._el),this},getLngLat:function(){return this._lngLat},setLngLat:function(t){return this._lngLat=a.convert(t),this._update(),this},getElement:function(){return this._el},_update:function(){if(this._map){var t=this._map.project(this._lngLat)._add(this._offset);i.setTransform(this._el,\"translate(\"+t.x+\"px,\"+t.y+\"px)\")}}}},{\"../geo/lng_lat\":339,\"../util/dom\":428,\"point-geometry\":484}],423:[function(t,e,r){\"use strict\";function n(t){i.setOptions(this,t),i.bindAll([\"_update\",\"_onClickClose\"],this)}e.exports=n;var i=t(\"../util/util\"),a=t(\"../util/evented\"),o=t(\"../util/dom\"),s=t(\"../geo/lng_lat\");n.prototype=i.inherit(a,{options:{closeButton:!0,closeOnClick:!0},addTo:function(t){return this._map=t,this._map.on(\"move\",this._update),this.options.closeOnClick&&this._map.on(\"click\",this._onClickClose),this._update(),this},remove:function(){return this._content&&this._content.parentNode&&this._content.parentNode.removeChild(this._content),this._container&&(this._container.parentNode.removeChild(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"click\",this._onClickClose),delete this._map),this.fire(\"close\"),this},getLngLat:function(){return this._lngLat},setLngLat:function(t){return this._lngLat=s.convert(t),this._update(),this},setText:function(t){return this.setDOMContent(document.createTextNode(t))},setHTML:function(t){var e,r=document.createDocumentFragment(),n=document.createElement(\"body\");for(n.innerHTML=t;;){if(!(e=n.firstChild))break;r.appendChild(e)}return this.setDOMContent(r)},setDOMContent:function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},_createContent:function(){this._content&&this._content.parentNode&&this._content.parentNode.removeChild(this._content),this._content=o.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=o.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClickClose))},_update:function(){if(this._map&&this._lngLat&&this._content){this._container||(this._container=o.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=o.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content));var t=this._map.project(this._lngLat).round(),e=this.options.anchor;if(!e){var 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s=0,l=0;l<3;++l)s+=Math.pow(r[l]-e[l],2);this.radius.set(t,.5*Math.log(Math.max(s,1e-6))),this.center.set(t,r[0],r[1],r[2])},d.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},d.setMatrix=function(t,e){var r=this.computedRotation;f(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),a(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;h(n,e);var i=n[15];if(Math.abs(i)>1e-6){var o=n[12]/i,s=n[13]/i,l=n[14]/i;this.recalcMatrix(t);var u=Math.exp(this.computedRadius[0]);this.center.set(t,o-n[2]*u,s-n[6]*u,l-n[10]*u),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},d.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},d.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},d.getDistanceLimits=function(t){var e=this.radius.bounds;return 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a=i.viewportWidth,o=i.viewportHeight;t.width=t.width||a-t.xOffset,t.height=t.height||o-t.yOffset,t.needsCopy=!0,de(t.xOffset>=0&&t.xOffset<a&&t.yOffset>=0&&t.yOffset<o&&t.width>0&&t.width<=a&&t.height>0&&t.height<=o,\"copy texture read out of bounds\")}else if(n){if(Qt(n))t.channels=t.channels||4,t.data=n,\"type\"in e||t.type!==Or||(t.type=At(n));else if(gt(n))t.channels=t.channels||4,Tt(t,n),t.alignment=1,t.needsFree=!0;else if(Z(n)){var s=n.data;Array.isArray(s)||t.type!==Or||(t.type=At(s));var l,c,h,f,d,p,m=n.shape,v=n.stride;3===m.length?(h=m[2],p=v[2]):(de(2===m.length,\"invalid ndarray pixel data, must be 2 or 3D\"),h=1,p=1),l=m[0],c=m[1],f=v[0],d=v[1],t.alignment=1,t.width=l,t.height=c,t.channels=h,t.format=t.internalformat=hn[h],t.needsFree=!0,Lt(t,s,f,d,p,n.offset)}else if(xt(n)||_t(n))xt(n)?t.element=n:t.element=n.canvas,t.width=t.element.width,t.height=t.element.height,t.channels=4;else if(wt(n))t.element=n,t.width=n.naturalWidth,t.height=n.naturalHeight,t.channels=4;else if(Mt(n))t.element=n,t.width=n.videoWidth,t.height=n.videoHeight,t.channels=4;else if(yt(n)){var g=t.width||n[0].length,y=t.height||n.length,b=t.channels;b=mt(n[0][0])?b||n[0][0].length:b||1;for(var x=Ce.shape(n),_=1,w=0;w<x.length;++w)_*=x[w];var M=St(t,_);Ce.flatten(n,x,\"\",M),Et(t,M),t.alignment=1,t.width=g,t.height=y,t.channels=b,t.format=t.internalformat=hn[b],t.needsFree=!0}}else t.width=t.width||1,t.height=t.height||1,t.channels=t.channels||4;t.type===jr?de(r.extensions.indexOf(\"oes_texture_float\")>=0,\"oes_texture_float extension not enabled\"):t.type===wr&&de(r.extensions.indexOf(\"oes_texture_half_float\")>=0,\"oes_texture_half_float extension not enabled\")}function d(e,r,i){var a=e.element,o=e.data,s=e.internalformat,l=e.format,u=e.type,h=e.width,f=e.height;c(e),a?t.texImage2D(r,i,l,l,u,a):e.compressed?t.compressedTexImage2D(r,i,s,h,f,0,o):e.needsCopy?(n(),t.copyTexImage2D(r,i,l,e.xOffset,e.yOffset,h,f,0)):t.texImage2D(r,i,l,h,f,0,l,u,o)}function p(e,r,i,a,o){var s=e.element,l=e.data,u=e.internalformat,h=e.format,f=e.type,d=e.width,p=e.height;c(e),s?t.texSubImage2D(r,o,i,a,h,f,s):e.compressed?t.compressedTexSubImage2D(r,o,i,a,u,d,p,l):e.needsCopy?(n(),t.copyTexSubImage2D(r,o,i,a,e.xOffset,e.yOffset,d,p)):t.texSubImage2D(r,o,i,a,d,p,h,f,l)}function m(){return K.pop()||new h}function v(t){t.needsFree&&Le.freeType(t.data),h.call(t),K.push(t)}function g(){s.call(this),this.genMipmaps=!1,this.mipmapHint=$r,this.mipmask=0,this.images=Array(16)}function y(t,e,r){var n=t.images[0]=m();t.mipmask=1,n.width=t.width=e,n.height=t.height=r,n.channels=t.channels=4}function b(t,e){var r=null;if(kt(e))r=t.images[0]=m(),l(r,t),f(r,e),t.mipmask=1;else if(u(t,e),Array.isArray(e.mipmap))for(var n=e.mipmap,i=0;i<n.length;++i)r=t.images[i]=m(),l(r,t),r.width>>=i,r.height>>=i,f(r,n[i]),t.mipmask|=1<<i;else 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r=0;r<32;++r)if(0!=(e.mipmask&1<<r))if(e.target===nr)t.texImage2D(nr,r,e.internalformat,e.width>>r,e.height>>r,0,e.internalformat,e.type,null);else for(var n=0;n<6;++n)t.texImage2D(ar+n,r,e.internalformat,e.width>>r,e.height>>r,0,e.internalformat,e.type,null);A(e.texInfo,e.target)})}var P={\"don't care\":$r,\"dont care\":$r,nice:en,fast:tn},O={repeat:Ur,clamp:Vr,mirror:Hr},R={nearest:Yr,linear:Wr},F=$t({mipmap:Kr,\"nearest mipmap nearest\":Xr,\"linear mipmap nearest\":Zr,\"nearest mipmap linear\":Jr,\"linear mipmap linear\":Kr},R),j={none:0,browser:ln},N={uint8:Or,rgba4:pr,rgb565:vr,\"rgb5 a1\":mr},B={alpha:sr,luminance:ur,\"luminance alpha\":cr,rgb:lr,rgba:or,rgba4:hr,\"rgb5 a1\":fr,rgb565:dr},U={};e.ext_srgb&&(B.srgb=xr,B.srgba=_r),e.oes_texture_float&&(N.float32=N.float=jr),e.oes_texture_half_float&&(N.float16=N[\"half float\"]=wr),e.webgl_depth_texture&&($t(B,{depth:yr,\"depth stencil\":br}),$t(N,{uint16:Rr,uint32:Fr,\"depth 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i=this.computedMatrix;m[0]=i[2],m[1]=i[6],m[2]=i[10];for(var a=this.computedUp,o=this.computedRight,s=this.computedToward,l=0;l<3;++l)i[4*l]=a[l],i[4*l+1]=o[l],i[4*l+2]=s[l];c(i,i,n,m);for(var l=0;l<3;++l)a[l]=i[4*l],o[l]=i[4*l+1];this.up.set(t,a[0],a[1],a[2]),this.right.set(t,o[0],o[1],o[2])}},p.pan=function(t,e,r,i){e=e||0,r=r||0,i=i||0,this.recalcMatrix(t);var a=this.computedMatrix,o=(Math.exp(this.computedRadius[0]),a[1]),s=a[5],l=a[9],u=n(o,s,l);o/=u,s/=u,l/=u;var c=a[0],h=a[4],f=a[8],d=c*o+h*s+f*l;c-=o*d,h-=s*d,f-=l*d;var p=n(c,h,f);c/=p,h/=p,f/=p;var m=c*e+o*r,v=h*e+s*r,g=f*e+l*r;this.center.move(t,m,v,g);var y=Math.exp(this.computedRadius[0]);y=Math.max(1e-4,y+i),this.radius.set(t,Math.log(y))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,a){var o=1;\"number\"==typeof r&&(o=0|r),(o<0||o>3)&&(o=1);var s=(o+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var l=e[o],c=e[o+4],h=e[o+8];if(a){var 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this._validate(t,this.minMonth,this.minDay,i.local.invalidYear||i.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);return t=n.year(),t<0&&t++,n.day()+30*(n.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),i.calendars.ethiopian=n},{\"../main\":581,\"object-assign\":470}],571:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function i(t,e){return t-e*Math.floor(t/e)}var a=t(\"../main\"),o=t(\"object-assign\");n.prototype=new a.baseCalendar,o(n.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom 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t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,a.local.invalidMonth),12===e&&this.leapYear(t)?30:8===e&&5===i(this.daysInYear(t),10)?30:9===e&&3===i(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var n=this._validate(t,e,r,a.local.invalidDate);return{yearType:(this.leapYear(n)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(n)%10-3]}},toJD:function(t,e,r){var n=this._validate(t,e,r,a.local.invalidDate);t=n.year(),e=n.month(),r=n.day();var i=t<=0?t+1:t,o=this.jdEpoch+this._delay1(i)+this._delay2(i)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(var s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(var s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return i(3*(n+1),7)<3&&n++,n},_delay2:function(t){var 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this._validate(t,this.minMonth,this.minDay,o.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,o.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if(t=t.split(\".\"),t.length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,o.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,o.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,o.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,o.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,o.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,o.local.invalidDate),!0},extraInfo:function(t,e,r){var n=this._validate(t,e,r,o.local.invalidDate),i=n.toJD(),a=this._toHaab(i),s=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[s[0]-1],tzolkinDay:s[0],tzolkinTrecena:s[1]}},_toHaab:function(t){t-=this.jdEpoch;var e=i(t+8+340,365);return[Math.floor(e/20)+1,i(e,20)]},_toTzolkin:function(t){return t-=this.jdEpoch,[a(t+20,20),a(t+4,13)]},toJD:function(t,e,r){var n=this._validate(t,e,r,o.local.invalidDate);return n.day()+20*n.month()+360*n.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),o.calendars.mayan=n},{\"../main\":581,\"object-assign\":470}],575:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\");n.prototype=new i.baseCalendar;var o=i.instance(\"gregorian\");a(n.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var 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i.baseCalendar,a(n.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,i.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);t=n.year(),e=n.month(),r=n.day();var a=i.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var u=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,\n",
       "s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(u)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(u,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=i.instance(),r=e.fromJD(t),n=r.year(),a=r.dayOfYear(),o=n+56;this._createMissingCalendarData(o);for(var s=9,l=this.NEPALI_CALENDAR_DATA[o][0],u=this.NEPALI_CALENDAR_DATA[o][s]-l+1;a>u;)s++,s>12&&(s=1,o++),u+=this.NEPALI_CALENDAR_DATA[o][s];var c=this.NEPALI_CALENDAR_DATA[o][s]-(u-a);return this.newDate(o,s,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 0===this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29,29,30,30],2077:[17,31,32,31,32,31,30,30,30,29,30,29,31],2078:[17,31,31,31,32,31,31,30,29,30,29,30,30],2079:[17,31,31,32,31,31,31,30,29,30,29,30,30],2080:[16,31,32,31,32,31,30,30,30,29,29,30,30],2081:[17,31,31,32,32,31,30,30,30,29,30,30,30],2082:[17,31,32,31,32,31,30,30,30,29,30,30,30],2083:[17,31,31,32,31,31,30,30,30,29,30,30,30],2084:[17,31,31,32,31,31,30,30,30,29,30,30,30],2085:[17,31,32,31,32,31,31,30,30,29,30,30,30],2086:[17,31,32,31,32,31,30,30,30,29,30,30,30],2087:[16,31,31,32,31,31,31,30,30,29,30,30,30],2088:[16,30,31,32,32,30,31,30,30,29,30,30,30],2089:[17,31,32,31,32,31,30,30,30,29,30,30,30],2090:[17,31,32,31,32,31,30,30,30,29,30,30,30],2091:[16,31,31,32,31,31,31,30,30,29,30,30,30],2092:[16,31,31,32,32,31,30,30,30,29,30,30,30],2093:[17,31,32,31,32,31,30,30,30,29,30,30,30],2094:[17,31,31,32,31,31,30,30,30,29,30,30,30],2095:[17,31,31,32,31,31,31,30,29,30,30,30,30],2096:[17,30,31,32,32,31,30,30,29,30,29,30,30],2097:[17,31,32,31,32,31,30,30,30,29,30,30,30],2098:[17,31,31,32,31,31,31,29,30,29,30,30,31],2099:[17,31,31,32,31,31,31,30,29,29,30,30,30],2100:[17,31,32,31,32,30,31,30,29,30,29,30,30]}}),i.calendars.nepali=n},{\"../main\":581,\"object-assign\":470}],577:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function i(t,e){return t-e*Math.floor(t/e)}var a=t(\"../main\"),o=t(\"object-assign\");n.prototype=new a.baseCalendar,o(n.prototype,{name:\"Persian\",jdEpoch:1948320.5,daysPerMonth:[31,31,31,31,31,31,30,30,30,30,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Persian\",epochs:[\"BP\",\"AP\"],monthNames:[\"Farvardin\",\"Ordibehesht\",\"Khordad\",\"Tir\",\"Mordad\",\"Shahrivar\",\"Mehr\",\"Aban\",\"Azar\",\"Day\",\"Bahman\",\"Esfand\"],monthNamesShort:[\"Far\",\"Ord\",\"Kho\",\"Tir\",\"Mor\",\"Sha\",\"Meh\",\"Aba\",\"Aza\",\"Day\",\"Bah\",\"Esf\"],dayNames:[\"Yekshambe\",\"Doshambe\",\"Seshambe\",\"Ch\\xe6harshambe\",\"Panjshambe\",\"Jom'e\",\"Shambe\"],dayNamesShort:[\"Yek\",\"Do\",\"Se\",\"Ch\\xe6\",\"Panj\",\"Jom\",\"Sha\"],dayNamesMin:[\"Ye\",\"Do\",\"Se\",\"Ch\",\"Pa\",\"Jo\",\"Sh\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,a.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,a.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var n=this._validate(t,e,r,a.local.invalidDate);t=n.year(),e=n.month(),r=n.day();var o=t-(t>=0?474:473),s=474+i(o,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(o/2820)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=t-this.toJD(475,1,1),r=Math.floor(e/1029983),n=i(e,1029983),a=2820;if(1029982!==n){var o=Math.floor(n/366),s=i(n,366);a=Math.floor((2134*o+2816*s+2815)/1028522)+o+1}var l=a+2820*r+474;l=l<=0?l-1:l;var u=t-this.toJD(l,1,1)+1,c=u<=186?Math.ceil(u/31):Math.ceil((u-6)/30),h=t-this.toJD(l,c,1)+1;return this.newDate(l,c,h)}}),a.calendars.persian=n,a.calendars.jalali=n},{\"../main\":581,\"object-assign\":470}],578:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\"),o=i.instance();n.prototype=new i.baseCalendar,a(n.prototype,{name:\"Taiwan\",jdEpoch:2419402.5,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),t=this._t2gYear(e.year());return o.leapYear(t)},weekOfYear:function(t,e,r){var n=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),t=this._t2gYear(n.year());return o.weekOfYear(t,n.month(),n.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate),t=this._t2gYear(n.year());return o.toJD(t,n.month(),n.day())},fromJD:function(t){var e=o.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),i.calendars.taiwan=n},{\"../main\":581,\"object-assign\":470}],579:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\"),o=i.instance();n.prototype=new i.baseCalendar,a(n.prototype,{name:\"Thai\",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),t=this._t2gYear(e.year());return o.leapYear(t)},weekOfYear:function(t,e,r){var n=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),t=this._t2gYear(n.year());return o.weekOfYear(t,n.month(),n.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate),t=this._t2gYear(n.year());return o.toJD(t,n.month(),n.day())},fromJD:function(t){var e=o.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),i.calendars.thai=n},{\"../main\":581,\"object-assign\":470}],580:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\");n.prototype=new i.baseCalendar,a(n.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear);return 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n(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function i(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function a(t,e){return t=\"\"+t,\"000000\".substring(0,e-t.length)+t}function o(){this.shortYearCutoff=\"+10\"}function s(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}var l=t(\"object-assign\");l(n.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance(),n.newDate(t,e,r)},substituteDigits:function(t){\n",
       "return function(e){return(e+\"\").replace(/[0-9]/g,function(e){return t[e]})}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),l(i.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+a(Math.abs(this.year()),4)+\"-\"+a(this.month(),2)+\"-\"+a(this.day(),2)}}),l(o.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new i(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+a(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return 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o=i[e];o.anchor&&\"free\"!==o.anchor&&(o.anchor=f.cleanId(o.anchor)),o.overlaying&&(o.overlaying=f.cleanId(o.overlaying)),o.type||(o.isdate?o.type=\"date\":o.islog?o.type=\"log\":!1===o.isdate&&!1===o.islog&&(o.type=\"linear\")),\"withzero\"!==o.autorange&&\"tozero\"!==o.autorange||(o.autorange=!0,o.rangemode=\"tozero\"),delete o.islog,delete o.isdate,delete o.categories,a(o,\"domain\")&&delete o.domain,void 0!==o.autotick&&(void 0===o.tickmode&&(o.tickmode=o.autotick?\"auto\":\"linear\"),delete o.autotick)}var s=Array.isArray(t.annotations)?t.annotations.length:0;for(e=0;e<s;e++){var u=t.annotations[e];c.isPlainObject(u)&&(u.ref&&(\"paper\"===u.ref?(u.xref=\"paper\",u.yref=\"paper\"):\"data\"===u.ref&&(u.xref=\"x\",u.yref=\"y\"),delete u.ref),n(u,\"xref\"),n(u,\"yref\"))}var p=Array.isArray(t.shapes)?t.shapes.length:0;for(e=0;e<p;e++){var m=t.shapes[e];c.isPlainObject(m)&&(n(m,\"xref\"),n(m,\"yref\"))}var v=t.legend;v&&(v.x>3?(v.x=1.02,v.xanchor=\"left\"):v.x<-2&&(v.x=-.02,v.xanchor=\"right\"),v.y>3?(v.y=1.02,v.yanchor=\"bottom\"):v.y<-2&&(v.y=-.02,v.yanchor=\"top\")),\"rotate\"===t.dragmode&&(t.dragmode=\"orbit\"),t.scene1&&(t.scene||(t.scene=t.scene1),delete t.scene1);var g=h.getSubplotIds(t,\"gl3d\");for(e=0;e<g.length;e++){var y=t[g[e]],b=y.cameraposition;if(Array.isArray(b)&&4===b[0].length){var x=b[0],_=b[1],w=b[2],M=l([],x),k=[];for(r=0;r<3;++r)k[r]=_[e]+w*M[2+4*r];y.camera={eye:{x:k[0],y:k[1],z:k[2]},center:{x:_[0],y:_[1],z:_[2]},up:{x:M[1],y:M[5],z:M[9]}},delete y.cameraposition}}return d.clean(t),t},r.cleanData=function(t,e){for(var n=[],o=(t.concat(Array.isArray(e)?e:[]).filter(function(t){return\"uid\"in t}).map(function(t){return t.uid})),s=0;s<t.length;s++){var l,p=t[s];if(!(\"uid\"in p)||-1!==n.indexOf(p.uid)){var m;for(l=0;l<100&&(m=c.randstr(o),-1!==n.indexOf(m));l++);p.uid=c.randstr(o),o.push(p.uid)}if(n.push(p.uid),\"histogramy\"===p.type&&\"xbins\"in p&&!(\"ybins\"in p)&&(p.ybins=p.xbins,delete p.xbins),p.error_y&&\"opacity\"in p.error_y){var v=d.defaults,g=p.error_y.color||(u.traceIs(p,\"bar\")?d.defaultLine:v[s%v.length]);p.error_y.color=d.addOpacity(d.rgb(g),d.opacity(g)*p.error_y.opacity),delete p.error_y.opacity}if(\"bardir\"in p&&(\"h\"!==p.bardir||!u.traceIs(p,\"bar\")&&\"histogram\"!==p.type.substr(0,9)||(p.orientation=\"h\",r.swapXYData(p)),delete p.bardir),\"histogramy\"===p.type&&r.swapXYData(p),\"histogramx\"!==p.type&&\"histogramy\"!==p.type||(p.type=\"histogram\"),\"scl\"in p&&(p.colorscale=p.scl,delete p.scl),\"reversescl\"in p&&(p.reversescale=p.reversescl,delete p.reversescl),p.xaxis&&(p.xaxis=f.cleanId(p.xaxis,\"x\")),p.yaxis&&(p.yaxis=f.cleanId(p.yaxis,\"y\")),u.traceIs(p,\"gl3d\")&&p.scene&&(p.scene=h.subplotsRegistry.gl3d.cleanId(p.scene)),u.traceIs(p,\"pie\")||u.traceIs(p,\"bar\")||(Array.isArray(p.textposition)?p.textposition=p.textposition.map(i):p.textposition&&(p.textposition=i(p.textposition))),u.traceIs(p,\"2dMap\")&&(\"YIGnBu\"===p.colorscale&&(p.colorscale=\"YlGnBu\"),\"YIOrRd\"===p.colorscale&&(p.colorscale=\"YlOrRd\")),u.traceIs(p,\"markerColorscale\")&&p.marker){var y=p.marker;\"YIGnBu\"===y.colorscale&&(y.colorscale=\"YlGnBu\"),\"YIOrRd\"===y.colorscale&&(y.colorscale=\"YlOrRd\")}if(\"surface\"===p.type&&c.isPlainObject(p.contours)){var b=[\"x\",\"y\",\"z\"];for(l=0;l<b.length;l++){var x=p.contours[b[l]];c.isPlainObject(x)&&(x.highlightColor&&(x.highlightcolor=x.highlightColor,delete x.highlightColor),x.highlightWidth&&(x.highlightwidth=x.highlightWidth,delete x.highlightWidth))}}if(Array.isArray(p.transforms)){var _=p.transforms;for(l=0;l<_.length;l++){var w=_[l];if(c.isPlainObject(w))switch(w.type){case\"filter\":w.filtersrc&&(w.target=w.filtersrc,delete w.filtersrc),w.calendar&&(w.valuecalendar||(w.valuecalendar=w.calendar),delete w.calendar);break;case\"groupby\":if(w.styles=w.styles||w.style,w.styles&&!Array.isArray(w.styles)){var M=w.styles,k=Object.keys(M);w.styles=[];for(var A=0;A<k.length;A++)w.styles.push({target:k[A],value:M[k[A]]})}}}}a(p,\"line\")&&delete p.line,\"marker\"in p&&(a(p.marker,\"line\")&&delete p.marker.line,a(p,\"marker\")&&delete p.marker),d.clean(p)}},r.swapXYData=function(t){var e;if(c.swapAttrs(t,[\"?\",\"?0\",\"d?\",\"?bins\",\"nbins?\",\"autobin?\",\"?src\",\"error_?\"]),Array.isArray(t.z)&&Array.isArray(t.z[0])&&(t.transpose?delete t.transpose:t.transpose=!0),t.error_x&&t.error_y){var r=t.error_y,n=\"copy_ystyle\"in r?r.copy_ystyle:!(r.color||r.thickness||r.width);c.swapAttrs(t,[\"error_?.copy_ystyle\"]),n&&c.swapAttrs(t,[\"error_?.color\",\"error_?.thickness\",\"error_?.width\"])}if(\"string\"==typeof t.hoverinfo){var i=t.hoverinfo.split(\"+\");for(e=0;e<i.length;e++)\"x\"===i[e]?i[e]=\"y\":\"y\"===i[e]&&(i[e]=\"x\");t.hoverinfo=i.join(\"+\")}},r.coerceTraceIndices=function(t,e){return s(e)?[e]:Array.isArray(e)&&e.length?e:t.data.map(function(t,e){return e})},r.manageArrayContainers=function(t,e,r){var n=t.obj,i=t.parts,a=i.length,o=i[a-1],l=s(o);if(l&&null===e){var u=i.slice(0,a-1).join(\".\");c.nestedProperty(n,u).get().splice(o,1)}else l&&void 0===t.get()?(void 0===t.get()&&(r[t.astr]=null),t.set(e)):t.set(e)};var p=/(\\.[^\\[\\]\\.]+|\\[[^\\[\\]\\.]+\\])$/;r.hasParent=function(t,e){for(var r=o(e);r;){if(r in t)return!0;r=o(r)}return!1};var m=[\"x\",\"y\",\"z\"];r.clearAxisTypes=function(t,e,r){for(var n=0;n<e.length;n++)for(var i=t._fullData[n],a=0;a<3;a++){var o=f.getFromTrace(t,i,m[a]);if(o&&\"log\"!==o.type){var s=o._name,l=o._id.substr(1);if(\"scene\"===l.substr(0,5)){if(void 0!==r[l])continue;s=l+\".\"+s}var u=s+\".type\";void 0===r[s]&&void 0===r[u]&&c.nestedProperty(t.layout,u).set(null)}}}},{\"../components/color\":604,\"../lib\":728,\"../plots/cartesian/axes\":772,\"../plots/plots\":831,\"../registry\":846,\"fast-isnumeric\":131,\"gl-mat4/fromQuat\":178}],758:[function(t,e,r){\"use strict\";var n=t(\"../lib/nested_property\"),i=t(\"../lib/is_plain_object\"),a=t(\"../lib/noop\"),o=t(\"../lib/loggers\"),s=t(\"../lib/search\").sorterAsc,l=t(\"../registry\");r.containerArrayMatch=t(\"./container_array_match\");var u=r.isAddVal=function(t){return\"add\"===t||i(t)},c=r.isRemoveVal=function(t){return null===t||\"remove\"===t};r.applyContainerArrayChanges=function(t,e,r,i){var h=e.astr,f=l.getComponentMethod(h,\"supplyLayoutDefaults\"),d=l.getComponentMethod(h,\"draw\"),p=l.getComponentMethod(h,\"drawOne\"),m=i.replot||i.recalc||f===a||d===a,v=t.layout,g=t._fullLayout;if(r[\"\"]){Object.keys(r).length>1&&o.warn(\"Full array edits are incompatible with other edits\",h);var y=r[\"\"][\"\"];if(c(y))e.set(null);else{if(!Array.isArray(y))return o.warn(\"Unrecognized full array edit value\",h,y),!0;e.set(y)}return!m&&(f(v,g),d(t),!0)}var b,x,_,w,M,k,A,T=Object.keys(r).map(Number).sort(s),S=e.get(),E=S||[],L=n(g,h).get(),C=[],I=-1,z=E.length;for(b=0;b<T.length;b++)if(_=T[b],w=r[_],M=Object.keys(w),k=w[\"\"],A=u(k),_<0||_>E.length-(A?0:1))o.warn(\"index out of range\",h,_);else if(void 0!==k)M.length>1&&o.warn(\"Insertion & removal are incompatible with edits to the same index.\",h,_),c(k)?C.push(_):A?(\"add\"===k&&(k={}),E.splice(_,0,k),L&&L.splice(_,0,{})):o.warn(\"Unrecognized full object edit value\",h,_,k),-1===I&&(I=_);else for(x=0;x<M.length;x++)n(E[_],M[x]).set(w[M[x]]);for(b=C.length-1;b>=0;b--)E.splice(C[b],1),L&&L.splice(C[b],1);if(E.length?S||e.set(E):e.set(null),m)return!1;if(f(v,g),p!==a){var D;if(-1===I)D=T;else{for(z=Math.max(E.length,z),D=[],b=0;b<T.length&&!((_=T[b])>=I);b++)D.push(_);for(b=I;b<z;b++)D.push(b)}for(b=0;b<D.length;b++)p(t,D[b])}else d(t);return!0}},{\"../lib/is_plain_object\":730,\"../lib/loggers\":732,\"../lib/nested_property\":735,\"../lib/noop\":736,\"../lib/search\":745,\"../registry\":846,\"./container_array_match\":755}],759:[function(t,e,r){\"use strict\";function n(t,e){try{t._fullLayout._paper.style(\"background\",e)}catch(t){w.error(t)}}function i(t,e){n(t,I.combine(e,\"white\"))}function a(t,e){t._context||(t._context=w.extendDeep({},_.defaultConfig));var r,a,o,s=t._context;if(e){for(a=Object.keys(e),r=0;r<a.length;r++)\"editable\"!==(o=a[r])&&\"edits\"!==o&&o in s&&(\"setBackground\"===o&&\"opaque\"===e[o]?s[o]=i:s[o]=e[o]);e.plot3dPixelRatio&&!s.plotGlPixelRatio&&(s.plotGlPixelRatio=s.plot3dPixelRatio);var l=e.editable;if(void 0!==l)for(s.editable=l,a=Object.keys(s.edits),r=0;r<a.length;r++)s.edits[a[r]]=l;if(e.edits)for(a=Object.keys(e.edits),r=0;r<a.length;r++)(o=a[r])in s.edits&&(s.edits[o]=e.edits[o])}s.staticPlot&&(s.editable=!1,s.edits={},s.autosizable=!1,s.scrollZoom=!1,s.doubleClick=!1,s.showTips=!1,s.showLink=!1,s.displayModeBar=!1),\"hover\"!==s.displayModeBar||x||(s.displayModeBar=!0),\"transparent\"!==s.setBackground&&\"function\"==typeof s.setBackground||(s.setBackground=n)}function o(t,e,r){var n=y.select(t).selectAll(\".plot-container\").data([0]);n.enter().insert(\"div\",\":first-child\").classed(\"plot-container plotly\",!0);var i=n.selectAll(\".svg-container\").data([0]);i.enter().append(\"div\").classed(\"svg-container\",!0).style(\"position\",\"relative\"),i.html(\"\"),e&&(t.data=e),r&&(t.layout=r),E.manager.fillLayout(t),i.style({width:t._fullLayout.width+\"px\",height:t._fullLayout.height+\"px\"}),t.framework=E.manager.framework(t),t.framework({data:t.data,layout:t.layout},i.node()),t.framework.setUndoPoint();var a=t.framework.svg(),o=1,s=t._fullLayout.title;\"\"!==s&&s||(o=0);var l=function(){this.call(P.convertToTspans,t)},u=a.select(\".title-group text\").call(l);if(t._context.edits.titleText){s&&\"Click to enter title\"!==s||(o=.2,u.attr({\"data-unformatted\":\"Click to enter title\"}).text(\"Click to enter title\").style({opacity:o}).on(\"mouseover.opacity\",function(){y.select(this).transition().duration(100).style(\"opacity\",1)}).on(\"mouseout.opacity\",function(){y.select(this).transition().duration(1e3).style(\"opacity\",0)}));var c=function(){this.call(P.makeEditable,{gd:t}).on(\"edit\",function(e){t.framework({layout:{title:e}}),this.text(e).call(l),this.call(c)}).on(\"cancel\",function(){var t=this.attr(\"data-unformatted\");this.text(t).call(l)})};u.call(c)}return t._context.setBackground(t,t._fullLayout.paper_bgcolor),S.addLinks(t),Promise.resolve()}function s(t,e){var r,n,i=e+1,a=[];for(r=0;r<t.length;r++)n=t[r],n<0?a.push(i+n):a.push(n);return a}function l(t,e,r){var n,i;for(n=0;n<e.length;n++){if((i=e[n])!==parseInt(i,10))throw new Error(\"all values in \"+r+\" must be integers\");if(i>=t.data.length||i<-t.data.length)throw new Error(r+\" must be valid indices for gd.data.\");if(e.indexOf(i,n+1)>-1||i>=0&&e.indexOf(-t.data.length+i)>-1||i<0&&e.indexOf(t.data.length+i)>-1)throw new Error(\"each index in \"+r+\" must be unique.\")}}function u(t,e,r){if(!Array.isArray(t.data))throw new Error(\"gd.data must be an array.\");if(void 0===e)throw new Error(\"currentIndices is a required argument.\");if(Array.isArray(e)||(e=[e]),l(t,e,\"currentIndices\"),void 0===r||Array.isArray(r)||(r=[r]),void 0!==r&&l(t,r,\"newIndices\"),void 0!==r&&e.length!==r.length)throw new Error(\"current and new indices must be of equal length.\")}function c(t,e,r){var n,i;if(!Array.isArray(t.data))throw new Error(\"gd.data must be an array.\");if(void 0===e)throw new Error(\"traces must be defined.\");for(Array.isArray(e)||(e=[e]),n=0;n<e.length;n++)if(\"object\"!=typeof(i=e[n])||Array.isArray(i)||null===i)throw new Error(\"all values in traces array must be non-array objects\");if(void 0===r||Array.isArray(r)||(r=[r]),void 0!==r&&r.length!==e.length)throw new Error(\"if indices is specified, traces.length must equal indices.length\")}function h(t,e,r,n){var i=w.isPlainObject(n);if(!Array.isArray(t.data))throw new Error(\"gd.data must be an array\");if(!w.isPlainObject(e))throw new Error(\"update must be a key:value object\");if(void 0===r)throw new Error(\"indices must be an integer or array of integers\");l(t,r,\"indices\");for(var a in e){if(!Array.isArray(e[a])||e[a].length!==r.length)throw new Error(\"attribute \"+a+\" must be an array of length equal to indices array length\");if(i&&(!(a in n)||!Array.isArray(n[a])||n[a].length!==e[a].length))throw new Error(\"when maxPoints is set as a key:value object it must contain a 1:1 corrispondence with the keys and number of traces in the update object\")}}function f(t,e,r,n){var i,a,o,l,u,c=w.isPlainObject(n),h=[];Array.isArray(r)||(r=[r]),r=s(r,t.data.length-1);for(var f in e)for(var d=0;d<r.length;d++){if(i=t.data[r[d]],o=w.nestedProperty(i,f),a=o.get(),l=e[f][d],!Array.isArray(l))throw new Error(\"attribute: \"+f+\" index: \"+d+\" must be an array\");if(!Array.isArray(a))throw new Error(\"cannot extend missing or non-array attribute: \"+f);u=c?n[f][d]:n,b(u)||(u=-1),h.push({prop:o,target:a,insert:l,maxp:Math.floor(u)})}return h}function d(t,e,r,n,i,a){h(t,e,r,n);for(var o,s,l,u=f(t,e,r,n),c=[],d={},p={},m=0;m<u.length;m++)s=u[m].prop,l=u[m].maxp,o=i(u[m].target,u[m].insert),l>=0&&l<o.length&&(c=a(o,l)),l=u[m].target.length,s.set(o),Array.isArray(d[s.astr])||(d[s.astr]=[]),Array.isArray(p[s.astr])||(p[s.astr]=[]),d[s.astr].push(c),p[s.astr].push(l);return{update:d,maxPoints:p}}function p(t){return void 0===t?null:t}function m(t,e,r){function n(){return r.map(function(){})}function i(t){var e=_.Axes.id2name(t);-1===u.indexOf(e)&&u.push(e)}function a(t){return\"LAYOUT\"+t+\".autorange\"}function o(t){return\"LAYOUT\"+t+\".range\"}function s(i,a,o){if(Array.isArray(i))return void i.forEach(function(t){s(t,a,o)});if(!(i in e||R.hasParent(e,i))){var l;l=\"LAYOUT\"===i.substr(0,6)?w.nestedProperty(t.layout,i.replace(\"LAYOUT\",\"\")):w.nestedProperty(f[r[o]],i),i in v||(v[i]=n()),void 0===v[i][o]&&(v[i][o]=p(l.get())),void 0!==a&&l.set(a)}}var l,u,c=t._fullLayout,h=t._fullData,f=t.data,d=j.traceFlags(),m={},v={},g={};for(var y in e){if(R.hasParent(e,y))throw 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n,i,a,o,s=V.getFromId(t,e),l=w.select(t).selectAll(\"g.\"+e+\"tick\"),u={selection:l,side:s.side},h=e.charAt(0),f=t._fullLayout._size,d=s.titlefont.size;if(l.size()){var p=L.getTranslate(l.node().parentNode);u.offsetLeft=p.x,u.offsetTop=p.y}var 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names\":\"countries\"},r.sphereSVG={type:\"Sphere\"},r.fillLayers={ocean:1,land:1,lakes:1},r.lineLayers={subunits:1,countries:1,coastlines:1,rivers:1,frame:1},r.layers=[\"bg\",\"ocean\",\"land\",\"lakes\",\"subunits\",\"countries\",\"coastlines\",\"rivers\",\"lataxis\",\"lonaxis\",\"frame\",\"backplot\",\"frontplot\"],r.layersForChoropleth=[\"bg\",\"ocean\",\"land\",\"subunits\",\"countries\",\"coastlines\",\"lataxis\",\"lonaxis\",\"frame\",\"backplot\",\"rivers\",\"lakes\",\"frontplot\"],r.layerNameToAdjective={ocean:\"ocean\",land:\"land\",lakes:\"lake\",subunits:\"subunit\",countries:\"country\",coastlines:\"coastline\",rivers:\"river\",frame:\"frame\"}},{}],799:[function(t,e,r){\"use strict\";function 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h=e._isScoped=\"world\"!==o,f=e._isConic=-1!==u.indexOf(\"conic\");e._isClipped=!!a.lonaxisSpan[u];for(var d=0;d<s.length;d++){var p,m=s[d],v=[30,10][d];if(h)p=l[m+\"Range\"];else{var g=a[m+\"Span\"],y=(g[u]||g[\"*\"])/2,b=r(\"projection.rotation.\"+m.substr(0,3),l.projRotate[d]);p=[b-y,b+y]}r(m+\".tick0\",r(m+\".range\",p)[0]),r(m+\".dtick\",v),n=r(m+\".showgrid\"),n&&(r(m+\".gridcolor\"),r(m+\".gridwidth\"))}var x=e.lonaxis.range,_=e.lataxis.range,w=x[0],M=x[1];w>0&&M<0&&(M+=360);var k,A=(w+M)/2;if(!c){var T=h?l.projRotate:[A,0,0];k=r(\"projection.rotation.lon\",T[0]),r(\"projection.rotation.lat\",T[1]),r(\"projection.rotation.roll\",T[2]),n=r(\"showcoastlines\",!h),n&&(r(\"coastlinecolor\"),r(\"coastlinewidth\")),n=r(\"showocean\"),n&&r(\"oceancolor\")}var 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r=t[0],n=t[1],i=t[2],a=t[3],o=e[0],s=e[1],l=e[2],u=e[3];return[r*o-n*s-i*l-a*u,r*s+n*o+i*u-a*l,r*l-n*u+i*o+a*s,r*u+n*l-i*s+a*o]}function f(t,e){if(t&&e){var r=x(t,e),n=Math.sqrt(b(r,r)),i=.5*Math.acos(Math.max(-1,Math.min(1,b(t,e)))),a=Math.sin(i)/n;return n&&[Math.cos(i),r[2]*a,-r[1]*a,r[0]*a]}}function d(t,e,r){var n=v(e,2,t[0]);n=v(n,1,t[1]),n=v(n,0,t[2]-r[2]);var i,a,o=e[0],s=e[1],l=e[2],u=n[0],c=n[1],h=n[2],f=Math.atan2(s,o)*A,d=Math.sqrt(o*o+s*s);Math.abs(c)>d?(a=(c>0?90:-90)-f,i=0):(a=Math.asin(c/d)*A-f,i=Math.sqrt(d*d-c*c));var m=180-a-2*f,g=(Math.atan2(h,u)-Math.atan2(l,i))*A,y=(Math.atan2(h,u)-Math.atan2(l,-i))*A;return p(r[0],r[1],a,g)<=p(r[0],r[1],m,y)?[a,g,r[2]]:[m,y,r[2]]}function p(t,e,r,n){var i=m(r-t),a=m(n-e);return Math.sqrt(i*i+a*a)}function m(t){return(t%360+540)%360-180}function v(t,e,r){var n=r*k,i=t.slice(),a=0===e?1:0,o=2===e?1:2,s=Math.cos(n),l=Math.sin(n);return i[a]=t[a]*s-t[o]*l,i[o]=t[o]*s+t[a]*l,i}function 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n(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}function i(t){function e(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function r(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}function i(n,i,a){function o(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(f[e]=i,f[e+2]=a,h.dataBox=f,t.setRanges(f)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}var s,u,f=t.calcDataBox(),d=c.viewBox,p=h.lastPos[0],m=h.lastPos[1],v=l.MINDRAG*c.pixelRatio,g=l.MINZOOM*c.pixelRatio;switch(i*=c.pixelRatio,a*=c.pixelRatio,a=d[3]-d[1]-a,t.fullLayout.dragmode){case\"zoom\":if(n){var y=i/(d[2]-d[0])*(f[2]-f[0])+f[0],b=a/(d[3]-d[1])*(f[3]-f[1])+f[1];h.boxInited||(h.boxStart[0]=y,h.boxStart[1]=b,h.dragStart[0]=i,h.dragStart[1]=a),h.boxEnd[0]=y,h.boxEnd[1]=b,h.boxInited=!0,h.boxEnabled||h.boxStart[0]===h.boxEnd[0]&&h.boxStart[1]===h.boxEnd[1]||(h.boxEnabled=!0);var x=Math.abs(h.dragStart[0]-i)<g,_=Math.abs(h.dragStart[1]-a)<g;if(!r()||x&&_)x&&(h.boxEnd[0]=h.boxStart[0]),_&&(h.boxEnd[1]=h.boxStart[1]);else{s=h.boxEnd[0]-h.boxStart[0],u=h.boxEnd[1]-h.boxStart[1];var 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h.boxEnabled?(s=h.boxStart[0]!==h.boxEnd[0],u=h.boxStart[1]!==h.boxEnd[1],s||u?(s&&(o(0,h.boxStart[0],h.boxEnd[0]),t.xaxis.autorange=!1),u&&(o(1,h.boxStart[1],h.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),h.boxEnabled=!1,h.boxInited=!1):h.boxInited&&(h.boxInited=!1);break;case\"pan\":h.boxEnabled=!1,h.boxInited=!1,n?(h.panning||(h.dragStart[0]=i,h.dragStart[1]=a),Math.abs(h.dragStart[0]-i)<v&&(i=h.dragStart[0]),Math.abs(h.dragStart[1]-a)<v&&(a=h.dragStart[1]),s=(p-i)*(f[2]-f[0])/(c.viewBox[2]-c.viewBox[0]),u=(m-a)*(f[3]-f[1])/(c.viewBox[3]-c.viewBox[1]),f[0]+=s,f[2]+=s,f[1]+=u,f[3]+=u,t.setRanges(f),h.panning=!0,h.lastInputTime=Date.now(),e(),t.cameraChanged(),t.handleAnnotations()):h.panning&&(h.panning=!1,t.relayoutCallback())}h.lastPos[0]=i,h.lastPos[1]=a}var u=t.mouseContainer,c=t.glplot,h=new n(u,c);return h.mouseListener=a(u,i),u.addEventListener(\"touchstart\",function(t){var e=s(t.changedTouches[0],u);i(0,e[0],e[1]),i(1,e[0],e[1])}),u.addEventListener(\"touchmove\",function(t){t.preventDefault();var e=s(t.changedTouches[0],u);i(1,e[0],e[1])}),u.addEventListener(\"touchend\",function(){i(0,h.lastPos[0],h.lastPos[1])}),h.wheelListener=o(u,function(r,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=c.viewBox,o=h.lastPos[0],s=h.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),u=o/(a[2]-a[0])*(i[2]-i[0])+i[0],f=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-u)*l+u,i[2]=(i[2]-u)*l+u,i[1]=(i[1]-f)*l+f,i[3]=(i[3]-f)*l+f,t.setRanges(i),h.lastInputTime=Date.now(),e(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),h}var a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"../cartesian/constants\");e.exports=i},{\"../cartesian/constants\":777,\"mouse-change\":452,\"mouse-event-offset\":453,\"mouse-wheel\":455}],807:[function(t,e,r){\"use strict\";function n(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}function i(t){return new n(t)}var a=t(\"../plots\"),o=t(\"../cartesian/axes\"),s=t(\"../../lib/html2unicode\"),l=t(\"../../lib/str2rgbarray\"),u=n.prototype,c=[\"xaxis\",\"yaxis\"];u.merge=function(t){this.titleEnable=!1,this.backgroundColor=l(t.plot_bgcolor);var e,r,n,i,a,o,u,h,f,d,p;for(d=0;d<2;++d){for(e=c[d],r=t[this.scene[e]._name],n=/Click to enter .+ title/.test(r.title)?\"\":r.title,p=0;p<=2;p+=2)this.labelEnable[d+p]=!1,this.labels[d+p]=s(n),this.labelColor[d+p]=l(r.titlefont.color),this.labelFont[d+p]=r.titlefont.family,this.labelSize[d+p]=r.titlefont.size,this.labelPad[d+p]=this.getLabelPad(e,r),this.tickEnable[d+p]=!1,this.tickColor[d+p]=l((r.tickfont||{}).color),this.tickAngle[d+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[d+p]=this.getTickPad(r),this.tickMarkLength[d+p]=0,this.tickMarkWidth[d+p]=r.tickwidth||0,this.tickMarkColor[d+p]=l(r.tickcolor),this.borderLineEnable[d+p]=!1,this.borderLineColor[d+p]=l(r.linecolor),this.borderLineWidth[d+p]=r.linewidth||0;u=this.hasSharedAxis(r),a=this.hasAxisInDfltPos(e,r)&&!u,o=this.hasAxisInAltrPos(e,r)&&!u,i=r.mirror||!1,h=u?-1!==String(i).indexOf(\"all\"):!!i,f=u?\"allticks\"===i:-1!==String(i).indexOf(\"ticks\"),a?this.labelEnable[d]=!0:o&&(this.labelEnable[d+2]=!0),a?this.tickEnable[d]=r.showticklabels:o&&(this.tickEnable[d+2]=r.showticklabels),(a||h)&&(this.borderLineEnable[d]=r.showline),(o||h)&&(this.borderLineEnable[d+2]=r.showline),(a||f)&&(this.tickMarkLength[d]=this.getTickMarkLength(r)),(o||f)&&(this.tickMarkLength[d+2]=this.getTickMarkLength(r)),this.gridLineEnable[d]=r.showgrid,this.gridLineColor[d]=l(r.gridcolor),this.gridLineWidth[d]=r.gridwidth,this.zeroLineEnable[d]=r.zeroline,this.zeroLineColor[d]=l(r.zerolinecolor),this.zeroLineWidth[d]=r.zerolinewidth}},u.hasSharedAxis=function(t){var e=this.scene,r=a.getSubplotIds(e.fullLayout,\"gl2d\");return 0!==o.findSubplotsWithAxis(r,t).indexOf(e.id)},u.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},u.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},u.getLabelPad=function(t,e){var r=e.titlefont.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},u.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},u.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=i},{\n",
       "\"../../lib/html2unicode\":726,\"../../lib/str2rgbarray\":749,\"../cartesian/axes\":772,\"../plots\":831}],808:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"./scene2d\"),a=t(\"../plots\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),u=t(\"../../components/fx/layout_attributes\");r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.layoutAttributes.plot_bgcolor,hoverlabel:u.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=a.getSubplotIds(e,\"gl2d\"),o=0;o<n.length;o++){var s=n[o],l=e._plots[s],u=a.getSubplotData(r,\"gl2d\",s),c=l._scene2d;void 0===c&&(c=new i({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),l._scene2d=c),c.plot(u,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=a.getSubplotIds(n,\"gl2d\"),o=0;o<i.length;o++){var s=i[o],u=n._plots[s];if(u._scene2d){0===a.getSubplotData(t,\"gl2d\",s).length&&(u._scene2d.destroy(),delete n._plots[s])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=a.getSubplotIds(e,\"gl2d\"),n=0;n<r.length;n++){var i=e._plots[r[n]],s=i._scene2d,l=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":l,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),s.destroy()}},r.updateFx=function(t){for(var e=a.getSubplotIds(t,\"gl2d\"),r=0;r<e.length;r++){t._plots[e[r]]._scene2d.updateFx(t.dragmode)}}},{\"../../components/fx/layout_attributes\":646,\"../../constants/xmlns_namespaces\":709,\"../../plot_api/edit_types\":756,\"../cartesian\":782,\"../cartesian/attributes\":771,\"../cartesian/constants\":777,\"../plots\":831,\"./scene2d\":809}],809:[function(t,e,r){\"use strict\";function n(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context.scrollZoom,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.glplotOptions=p(this),this.glplotOptions.merge(e),this.glplot=c(this.glplotOptions),this.camera=m(this),this.traces={},this.spikes=h(this.glplot),this.selectBox=f(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.bounds=[1/0,1/0,-1/0,-1/0],this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw()}function i(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1}var a,o,s=t(\"../../registry\"),l=t(\"../../plots/cartesian/axes\"),u=t(\"../../components/fx\"),c=t(\"gl-plot2d\"),h=t(\"gl-spikes2d\"),f=t(\"gl-select-box\"),d=t(\"webgl-context\"),p=t(\"./convert\"),m=t(\"./camera\"),v=t(\"../../lib/html2unicode\"),g=t(\"../../lib/show_no_webgl_msg\"),y=t(\"../../plots/cartesian/constraints\"),b=y.enforce,x=y.clean,_=[\"xaxis\",\"yaxis\"];e.exports=n;var w=n.prototype;w.makeFramework=function(){if(this.staticPlot){if(!(o||(a=document.createElement(\"canvas\"),o=d({canvas:a,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=a,this.gl=o}else{var t=document.createElement(\"canvas\"),e=d({canvas:t,premultipliedAlpha:!0});e||g(this),this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r),r.className+=\"user-select-none\";var n=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");n.style.position=\"absolute\",n.style.top=n.style.left=\"0px\",n.style.width=n.style.height=\"100%\",n.style[\"z-index\"]=20,n.style[\"pointer-events\"]=\"none\";var i=this.mouseContainer=document.createElement(\"div\");i.style.position=\"absolute\",i.style[\"pointer-events\"]=\"auto\";var s=this.container;s.appendChild(r),s.appendChild(n),s.appendChild(i);var l=this;i.addEventListener(\"mouseout\",function(){l.isMouseOver=!1,l.unhover()}),i.addEventListener(\"mouseover\",function(){l.isMouseOver=!0})},w.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(a),this.updateSize(this.canvas),this.glplot.setDirty(),this.glplot.draw();var e=this.glplot.gl,r=e.drawingBufferWidth,n=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var i=new Uint8Array(r*n*4);e.readPixels(0,0,r,n,e.RGBA,e.UNSIGNED_BYTE,i);for(var o=0,s=n-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=i[4*(r*o+l)+u];i[4*(r*o+l)+u]=i[4*(r*s+l)+u],i[4*(r*s+l)+u]=c}var h=document.createElement(\"canvas\");h.width=r,h.height=n;var f=h.getContext(\"2d\"),d=f.createImageData(r,n);d.data.set(i),f.putImageData(d,0,0);var p;switch(t){case\"jpeg\":p=h.toDataURL(\"image/jpeg\");break;case\"webp\":p=h.toDataURL(\"image/webp\");break;default:p=h.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(a),p},w.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),this.redraw&&this.redraw(),t},w.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[l.calcTicks(this.xaxis),l.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=v(t[e][r].text+\"\");return t},w.updateRefs=function(t){this.fullLayout=t;var e=l.subplotMatch,r=\"xaxis\"+this.id.match(e)[1],n=\"yaxis\"+this.id.match(e)[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},w.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout;n.xaxis.autorange=e.autorange,n.xaxis.range=e.range.slice(0),n.yaxis.autorange=r.autorange,n.yaxis.range=r.range.slice(0);var i={lastInputTime:this.camera.lastInputTime};i[e._name]=e.range.slice(0),i[r._name]=r.range.slice(0),t.emit(\"plotly_relayout\",i)},w.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();i(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},w.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&s.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},w.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map(function(e){t[e].dispose(),delete t[e]}),this.glplot.dispose(),this.staticPlot||this.container.removeChild(this.canvas),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},w.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis}};x(s,this.xaxis),x(s,this.yaxis);var u=r._size,c=this.xaxis.domain,h=this.yaxis.domain;o.viewBox=[u.l+c[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-c[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(c[1]-c[0])+\"px\",this.mouseContainer.style.height=u.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=u.h*(h[1]-h[0]),this.mouseContainer.style.left=u.l+c[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+\"px\";var f=this.bounds;f[0]=f[1]=1/0,f[2]=f[3]=-1/0;var d,p,m=Object.keys(this.traces);for(p=0;p<m.length;++p)for(var v=this.traces[m[p]],g=0;g<2;++g)f[g]=Math.min(f[g],v.bounds[g]),f[g+2]=Math.max(f[g+2],v.bounds[g+2]);for(p=0;p<2;++p)f[p]>f[p+2]&&(f[p]=-1,f[p+2]=1),d=this[_[p]],d._length=o.viewBox[p+2]-o.viewBox[p],l.doAutoRange(d),d.setScale();b(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},w.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},w.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},w.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if(i=t[n],i.uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort(function(t,e){return t._trace.index-e._trace.index})},w.updateFx=function(t){this.mouseContainer.style[\"pointer-events\"]=\"lasso\"===t||\"select\"===t?\"none\":\"auto\",this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},w.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};u.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},w.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,s=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var l=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(l[c]=t.dataBox[c],l[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var h=i._size,f=this.xaxis.domain,d=this.yaxis.domain;a=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,s/t.pixelRatio-(h.t+(1-d[1])*h.h));var p=a&&a.object._trace.handlePick(a);if(p&&n&&this.emitPointAction(p,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&p&&(!this.lastPickResult||this.lastPickResult.traceUid!==p.trace.uid||this.lastPickResult.dataCoord[0]!==p.dataCoord[0]||this.lastPickResult.dataCoord[1]!==p.dataCoord[1])){var m=p;this.lastPickResult={traceUid:p.trace?p.trace.uid:null,dataCoord:p.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),m.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(p,\"plotly_hover\");var v=this.fullData[m.trace.index]||{},g=m.pointIndex,y=u.castHoverinfo(v,i,g);if(y&&\"all\"!==y){var b=y.split(\"+\");-1===b.indexOf(\"x\")&&(m.traceCoord[0]=void 0),-1===b.indexOf(\"y\")&&(m.traceCoord[1]=void 0),-1===b.indexOf(\"z\")&&(m.traceCoord[2]=void 0),-1===b.indexOf(\"text\")&&(m.textLabel=void 0),-1===b.indexOf(\"name\")&&(m.name=void 0)}u.loneHover({x:m.screenCoord[0],y:m.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",m.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",m.traceCoord[1]),zLabel:m.traceCoord[2],text:m.textLabel,name:m.name,color:u.castHoverOption(v,g,\"bgcolor\")||m.color,borderColor:u.castHoverOption(v,g,\"bordercolor\"),fontFamily:u.castHoverOption(v,g,\"font.family\"),fontSize:u.castHoverOption(v,g,\"font.size\"),fontColor:u.castHoverOption(v,g,\"font.color\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},w.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),u.loneUnhover(this.svgContainer))},w.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return l.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../components/fx\":645,\"../../lib/html2unicode\":726,\"../../lib/show_no_webgl_msg\":747,\"../../plots/cartesian/axes\":772,\"../../plots/cartesian/constraints\":779,\"../../registry\":846,\"./camera\":806,\"./convert\":807,\"gl-plot2d\":219,\"gl-select-box\":253,\"gl-spikes2d\":262,\"webgl-context\":563}],810:[function(t,e,r){\"use strict\";function n(t,e){function r(e,r,n,a){var o=p.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,c=\"zoom\"===o,f=!!a.control,d=!!a.alt,y=!!a.shift,b=!!(1&e),x=!!(2&e),_=!!(4&e),w=1/t.clientHeight,M=w*(r-m),k=w*(n-v),A=p.flipX?1:-1,T=p.flipY?1:-1,S=i(),E=Math.PI*p.rotateSpeed;if((s&&b&&!f&&!d&&!y||b&&!f&&!d&&y)&&u.rotate(S,A*E*M,-T*E*k,0),(l&&b&&!f&&!d&&!y||x||b&&f&&!d&&!y)&&u.pan(S,-p.translateSpeed*M*h,p.translateSpeed*k*h,0),c&&b&&!f&&!d&&!y||_||b&&!f&&d&&!y){var L=-p.zoomSpeed*k/window.innerHeight*(S-u.lastT())*100;u.pan(S,0,0,h*(Math.exp(L)-1))}return m=r,v=n,g=a,!0}}t=t||document.body,e=e||{};var n=[.01,1/0];\"distanceLimits\"in e&&(n[0]=e.distanceLimits[0],n[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(n[0]=e.zoomMin),\"zoomMax\"in e&&(n[1]=e.zoomMax);var u=a({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:n}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],h=0,f=t.clientWidth,d=t.clientHeight,p={keyBindingMode:\"rotate\",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,tick:function(){var e=i(),r=this.delay,n=e-2*r;u.idle(e-r),u.recalcMatrix(n),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===f&&t.clientHeight===d;return f=t.clientWidth,d=t.clientHeight,a?!l:(h=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)}};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(),n=u.computedCenter.slice();if(u.setMode(t),\"turntable\"===t){var a=i();u._active.lookAt(a,r,n,e),u._active.lookAt(a+500,r,n,[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 h},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(n)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",function(t){return t.preventDefault(),!1});var m=0,v=0,g={shift:!1,control:!1,alt:!1,meta:!1};return p.mouseListener=o(t,r),t.addEventListener(\"touchstart\",function(e){var n=l(e.changedTouches[0],t);r(0,n[0],n[1],g),r(1,n[0],n[1],g)}),t.addEventListener(\"touchmove\",function(e){var n=l(e.changedTouches[0],t);r(1,n[0],n[1],g)}),t.addEventListener(\"touchend\",function(){r(0,m,v,g)}),p.wheelListener=s(t,function(t,e){if(!1!==p.keyBindingMode){var r=p.flipX?1:-1,n=p.flipY?1:-1,a=i();if(Math.abs(t)>Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*p.rotateSpeed/window.innerWidth);else{var o=-p.zoomSpeed*n*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,h*(Math.exp(o)-1))}}},!0),p}e.exports=n;var i=t(\"right-now\"),a=t(\"3d-view\"),o=t(\"mouse-change\"),s=t(\"mouse-wheel\"),l=t(\"mouse-event-offset\")},{\"3d-view\":37,\"mouse-change\":452,\"mouse-event-offset\":453,\"mouse-wheel\":455,\"right-now\":502}],811:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../components/fx/layout_attributes\"),a=t(\"./scene\"),o=t(\"../plots\"),s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=o.getSubplotIds(e,\"gl3d\"),i=0;i<n.length;i++){var l=n[i],u=o.getSubplotData(r,\"gl3d\",l),c=e[l],h=c._scene;h||(h=new a({id:l,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),c._scene=h),h.cameraInitial||(h.cameraInitial=s.extendDeep({},c.camera)),h.plot(u,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=o.getSubplotIds(n,\"gl3d\"),a=0;a<i.length;a++){var s=i[a];!e[s]&&n[s]._scene&&(n[s]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+s).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=o.getSubplotIds(e,\"gl3d\"),n=e._size,i=0;i<r.length;i++){var a=e[r[i]],s=a.domain,u=a._scene,c=u.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*s.x[0],y:n.t+n.h*(1-s.y[1]),width:n.w*(s.x[1]-s.x[0]),height:n.h*(s.y[1]-s.y[0]),preserveAspectRatio:\"none\"}),u.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=o.getSubplotIds(t,\"gl3d\"),r=0;r<e.length;r++){t[e[r]]._scene.updateFx(t.dragmode,t.hovermode)}}},{\"../../components/fx/layout_attributes\":646,\"../../constants/xmlns_namespaces\":709,\"../../lib\":728,\"../../plot_api/edit_types\":756,\"../plots\":831,\"./layout/attributes\":812,\"./layout/defaults\":816,\"./layout/layout_attributes\":817,\"./scene\":821}],812:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],813:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),i=t(\"../../cartesian/layout_attributes\"),a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:i.title,titlefont:i.titlefont,type:i.type,autorange:i.autorange,rangemode:i.rangemode,range:i.range,tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,separatethousands:i.separatethousands,tickformat:i.tickformat,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth},\"plot\",\"from-root\")},{\"../../../components/color\":604,\"../../../lib/extend\":717,\"../../../plot_api/edit_types\":756,\"../../cartesian/layout_attributes\":783}],814:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../../lib\"),a=t(\"./axis_attributes\"),o=t(\"../../cartesian/type_defaults\"),s=t(\"../../cartesian/axis_defaults\"),l=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){function u(t,e){return i.coerce(c,h,a,t,e)}for(var c,h,f=0;f<l.length;f++){var 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a=t(\"../../../lib/html2unicode\"),o=t(\"../../../lib/str2rgbarray\"),s=[\"xaxis\",\"yaxis\",\"zaxis\"];n.prototype.merge=function(t){for(var e=this,r=0;r<3;++r){var n=t[s[r]];n.visible?(e.labels[r]=a(n.title),\"titlefont\"in n&&(n.titlefont.color&&(e.labelColor[r]=o(n.titlefont.color)),n.titlefont.family&&(e.labelFont[r]=n.titlefont.family),n.titlefont.size&&(e.labelSize[r]=n.titlefont.size)),\"showline\"in n&&(e.lineEnable[r]=n.showline),\"linecolor\"in n&&(e.lineColor[r]=o(n.linecolor)),\"linewidth\"in n&&(e.lineWidth[r]=n.linewidth),\"showgrid\"in n&&(e.gridEnable[r]=n.showgrid),\"gridcolor\"in n&&(e.gridColor[r]=o(n.gridcolor)),\"gridwidth\"in n&&(e.gridWidth[r]=n.gridwidth),\"log\"===n.type?e.zeroEnable[r]=!1:\"zeroline\"in n&&(e.zeroEnable[r]=n.zeroline),\"zerolinecolor\"in n&&(e.zeroLineColor[r]=o(n.zerolinecolor)),\"zerolinewidth\"in n&&(e.zeroLineWidth[r]=n.zerolinewidth),\"ticks\"in n&&n.ticks?e.lineTickEnable[r]=!0:e.lineTickEnable[r]=!1,\"ticklen\"in n&&(e.lineTickLength[r]=e._defaultLineTickLength[r]=n.ticklen),\"tickcolor\"in n&&(e.lineTickColor[r]=o(n.tickcolor)),\"tickwidth\"in n&&(e.lineTickWidth[r]=n.tickwidth),\"tickangle\"in n&&(e.tickAngle[r]=\"auto\"===n.tickangle?0:Math.PI*-n.tickangle/180),\"showticklabels\"in n&&(e.tickEnable[r]=n.showticklabels),\"tickfont\"in n&&(n.tickfont.color&&(e.tickColor[r]=o(n.tickfont.color)),n.tickfont.family&&(e.tickFont[r]=n.tickfont.family),n.tickfont.size&&(e.tickSize[r]=n.tickfont.size)),\"mirror\"in n?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(n.mirror)?(e.lineTickMirror[r]=!0,e.lineMirror[r]=!0):!0===n.mirror?(e.lineTickMirror[r]=!1,e.lineMirror[r]=!0):(e.lineTickMirror[r]=!1,e.lineMirror[r]=!1):e.lineMirror[r]=!1,\"showbackground\"in n&&!1!==n.showbackground?(e.backgroundEnable[r]=!0,e.backgroundColor[r]=o(n.backgroundcolor)):e.backgroundEnable[r]=!1):(e.tickEnable[r]=!1,e.labelEnable[r]=!1,e.lineEnable[r]=!1,e.lineTickEnable[r]=!1,e.gridEnable[r]=!1,e.zeroEnable[r]=!1,e.backgroundEnable[r]=!1)}},e.exports=i},{\"../../../lib/html2unicode\":726,\"../../../lib/str2rgbarray\":749}],816:[function(t,e,r){\"use strict\";function n(t,e,r,n){for(var i=r(\"bgcolor\"),s=a.combine(i,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],c=0;c<u.length;c++)r(\"camera.\"+u[c]+\".x\"),r(\"camera.\"+u[c]+\".y\"),r(\"camera.\"+u[c]+\".z\");var h=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),f=h?\"manual\":\"auto\",d=r(\"aspectmode\",f);h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode),l(t,e,{font:n.font,scene:n.id,data:n.fullData,bgColor:s,calendar:n.calendar}),o.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n),r(\"dragmode\",n.getDfltFromLayout(\"dragmode\")),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}var i=t(\"../../../lib\"),a=t(\"../../../components/color\"),o=t(\"../../../registry\"),s=t(\"../../subplot_defaults\"),l=t(\"./axis_defaults\"),u=t(\"./layout_attributes\");e.exports=function(t,e,r){function a(e){if(!o){return i.validate(t[e],u[e])?t[e]:void 0}}var o=e._basePlotModules.length>1;s(t,e,r,{type:\"gl3d\",attributes:u,handleDefaults:n,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:a,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":604,\"../../../lib\":728,\"../../../registry\":846,\"../../subplot_defaults\":838,\"./axis_defaults\":814,\"./layout_attributes\":817}],817:[function(t,e,r){\"use strict\";function n(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}var i=t(\"./axis_attributes\"),a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(n(0,0,1),{}),center:a(n(0,0,0),{}),eye:a(n(1.25,1.25,1.25),{}),editType:\"camera\"},domain:{x:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1,editType:\"plot\"},{valType:\"number\",min:0,max:1,editType:\"plot\"}],dflt:[0,1],editType:\"plot\"},y:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1,editType:\"plot\"},{valType:\"number\",min:0,max:1,editType:\"plot\"}],dflt:[0,1],editType:\"plot\"},editType:\"plot\"},aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:i,yaxis:i,zaxis:i,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],dflt:\"turntable\",editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":728,\"../../../lib/extend\":717,\"./axis_attributes\":813}],818:[function(t,e,r){\"use strict\";function n(){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]}function i(t){var e=new n;return e.merge(t),e}var a=t(\"../../../lib/str2rgbarray\"),o=[\"xaxis\",\"yaxis\",\"zaxis\"];n.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[o[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=a(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=i},{\"../../../lib/str2rgbarray\":749}],819:[function(t,e,r){\"use strict\";function n(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}function i(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,i=t.fullSceneLayout,c=[[],[],[]],h=0;h<3;++h){var f=i[l[h]];if(f._length=(r[h].hi-r[h].lo)*r[h].pixelsPerDataUnit/t.dataScale[h],Math.abs(f._length)===1/0)c[h]=[];else{f.range[0]=r[h].lo/t.dataScale[h],f.range[1]=r[h].hi/t.dataScale[h],f._m=1/(t.dataScale[h]*r[h].pixelsPerDataUnit),f.range[0]===f.range[1]&&(f.range[0]-=1,f.range[1]+=1);var d=f.tickmode;if(\"auto\"===f.tickmode){f.tickmode=\"linear\";var p=f.nticks||o.constrain(f._length/40,4,9);a.autoTicks(f,Math.abs(f.range[1]-f.range[0])/p)}for(var m=a.calcTicks(f),v=0;v<m.length;++v)m[v].x=m[v].x*t.dataScale[h],m[v].text=s(m[v].text);c[h]=m,f.tickmode=d}}e.ticks=c;for(var h=0;h<3;++h){u[h]=.5*(t.glplot.bounds[0][h]+t.glplot.bounds[1][h]);for(var v=0;v<2;++v)e.bounds[v][h]=t.glplot.bounds[v][h]}t.contourLevels=n(c)}e.exports=i;var a=t(\"../../cartesian/axes\"),o=t(\"../../../lib\"),s=t(\"../../../lib/html2unicode\"),l=[\"xaxis\",\"yaxis\",\"zaxis\"],u=[0,0,0]},{\"../../../lib\":728,\"../../../lib/html2unicode\":726,\"../../cartesian/axes\":772}],820:[function(t,e,r){\"use strict\";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}function i(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}e.exports=i},{}],821:[function(t,e,r){\"use strict\";function n(t){function e(e,r){var n=t.fullSceneLayout[e];return v.tickText(n,n.d2l(r),\"hover\").text}var r,n=t.svgContainer,i=t.container.getBoundingClientRect(),a=i.width,o=i.height;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+a+\" \"+o),n.setAttributeNS(null,\"width\",a),n.setAttributeNS(null,\"height\",o),k(t),t.glplot.axes.update(t.axesOptions);for(var s=Object.keys(t.traces),l=null,u=t.glplot.selection,c=0;c<s.length;++c)r=t.traces[s[c]],\"skip\"!==r.data.hoverinfo&&r.handlePick(u)&&(l=r),r.setContourLevels&&r.setContourLevels();var h;if(null!==l){var f=_(t.glplot.cameraParams,u.dataCoordinate);r=l.data;var d=u.index,p=g.castHoverinfo(r,t.fullLayout,d),m=e(\"xaxis\",u.traceCoordinate[0]),y=e(\"yaxis\",u.traceCoordinate[1]),b=e(\"zaxis\",u.traceCoordinate[2]);if(\"all\"!==p){var x=p.split(\"+\");-1===x.indexOf(\"x\")&&(m=void 0),-1===x.indexOf(\"y\")&&(y=void 0),-1===x.indexOf(\"z\")&&(b=void 0),-1===x.indexOf(\"text\")&&(u.textLabel=void 0),-1===x.indexOf(\"name\")&&(l.name=void 0)}t.fullSceneLayout.hovermode&&g.loneHover({x:(.5+.5*f[0]/f[3])*a,y:(.5-.5*f[1]/f[3])*o,xLabel:m,yLabel:y,zLabel:b,text:u.textLabel,name:l.name,color:g.castHoverOption(r,d,\"bgcolor\")||l.color,borderColor:g.castHoverOption(r,d,\"bordercolor\"),fontFamily:g.castHoverOption(r,d,\"font.family\"),fontSize:g.castHoverOption(r,d,\"font.size\"),fontColor:g.castHoverOption(r,d,\"font.color\")},{container:n,gd:t.graphDiv});var w={x:u.traceCoordinate[0],y:u.traceCoordinate[1],z:u.traceCoordinate[2],data:r._input,fullData:r,curveNumber:r.index,pointNumber:d};g.appendArrayPointValue(w,r,d);var M={points:[w]};u.buttons&&u.distance<5?t.graphDiv.emit(\"plotly_click\",M):t.graphDiv.emit(\"plotly_hover\",M),h=M}else g.loneUnhover(n),t.graphDiv.emit(\"plotly_unhover\",h);t.drawAnnotations(t)}function i(t,e,r,i){var a={canvas:r,gl:i,container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1};if(t.staticMode){if(!(h||(c=document.createElement(\"canvas\"),h=d({canvas:c,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");a.pixelRatio=t.pixelRatio,a.gl=h,a.canvas=c}try{t.glplot=f(a)}catch(e){b(t)}var o=function(t){if(!1!==t.fullSceneLayout.dragmode){var e={};e[t.id+\".camera\"]=u(t.camera),t.saveCamera(t.graphDiv.layout),t.graphDiv.emit(\"plotly_relayout\",e)}};if(t.glplot.canvas.addEventListener(\"mouseup\",o.bind(null,t)),t.glplot.canvas.addEventListener(\"wheel\",o.bind(null,t)),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",function(t){m.warn(\"Lost WebGL context.\"),t.preventDefault()}),!t.camera){var s=t.fullSceneLayout.camera;t.camera=x(t.container,{center:[s.center.x,s.center.y,s.center.z],\n",
       "eye:[s.eye.x,s.eye.y,s.eye.z],up:[s.up.x,s.up.y,s.up.z],zoomMin:.1,zoomMax:100,mode:\"orbit\"})}return t.glplot.camera=t.camera,t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=n.bind(null,t),t.traces={},!0}function a(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var a=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\",r.appendChild(a),this.svgContainer=a,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=w(e[this.id]),this.spikeOptions=M(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=p.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=p.getComponentMethod(\"annotations3d\",\"draw\"),i(this,e)}function o(t,e,r,n,i){for(var a,o=0;o<e.length;++o)if(Array.isArray(e[o]))for(var s=0;s<e[o].length;++s)a=t.d2l(e[o][s],0,i),!isNaN(a)&&isFinite(a)&&(n[0][r]=Math.min(n[0][r],a),n[1][r]=Math.max(n[1][r],a));else a=t.d2l(e[o],0,i),!isNaN(a)&&isFinite(a)&&(n[0][r]=Math.min(n[0][r],a),n[1][r]=Math.max(n[1][r],a))}function s(t,e,r){var n=t.fullSceneLayout;o(n.xaxis,e.x,0,r,e.xcalendar),o(n.yaxis,e.y,1,r,e.ycalendar),o(n.zaxis,e.z,2,r,e.zcalendar)}function l(t){return[[t.eye.x,t.eye.y,t.eye.z],[t.center.x,t.center.y,t.center.z],[t.up.x,t.up.y,t.up.z]]}function u(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]}}}var c,h,f=t(\"gl-plot3d\"),d=t(\"webgl-context\"),p=t(\"../../registry\"),m=t(\"../../lib\"),v=t(\"../../plots/cartesian/axes\"),g=t(\"../../components/fx\"),y=t(\"../../lib/str2rgbarray\"),b=t(\"../../lib/show_no_webgl_msg\"),x=t(\"./camera\"),_=t(\"./project\"),w=t(\"./layout/convert\"),M=t(\"./layout/spikes\"),k=t(\"./layout/tick_marks\"),A=a.prototype;A.recoverContext=function(){function t(){return r.isContextLost()?void requestAnimationFrame(t):i(e,e.fullLayout,n,r)?void e.plot.apply(e,e.plotArgs):void m.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")}var e=this,r=this.glplot.gl,n=this.glplot.canvas;this.glplot.dispose(),requestAnimationFrame(t)};var T=[\"xaxis\",\"yaxis\",\"zaxis\"];A.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,l,u,c=e[this.id],h=r[this.id];c.bgcolor?this.glplot.clearColor=y(c.bgcolor):this.glplot.clearColor=[0,0,0,0],this.glplot.snapToData=!0,this.fullLayout=e,this.fullSceneLayout=c,this.glplotLayout=c,this.axesOptions.merge(c),this.spikeOptions.merge(c),this.setCamera(c.camera),this.updateFx(c.dragmode,c.hovermode),this.glplot.update({}),this.setConvert(l),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<t.length;++a)n=t[a],!0===n.visible&&s(this,n,f);var d=[1,1,1];for(o=0;o<3;++o)f[0][o]>f[1][o]?d[o]=1:f[1][o]===f[0][o]?d[o]=1:d[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=d,this.convertAnnotations(this),a=0;a<t.length;++a)n=t[a],!0===n.visible&&(i=this.traces[n.uid],i?i.update(n):(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<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&!0===t[o].visible)continue t;i=this.traces[p[a]],i.dispose(),delete this.traces[p[a]]}this.glplot.objects.sort(function(t,e){return t._trace.data.index-e._trace.data.index});var m=[[0,0,0],[0,0,0]],v=[],g={};for(a=0;a<3;++a){if(l=c[T[a]],u=l.type,u in g?(g[u].acc*=d[a],g[u].count+=1):g[u]={acc:d[a],count:1},l.autorange){m[0][a]=1/0,m[1][a]=-1/0;var b=this.glplot.objects,x=this.fullSceneLayout.annotations||[],_=l._name.charAt(0);for(o=0;o<b.length;o++){var w=b[o].bounds;m[0][a]=Math.min(m[0][a],w[0][a]/d[a]),m[1][a]=Math.max(m[1][a],w[1][a]/d[a])}for(o=0;o<x.length;o++){var M=x[o];if(M.visible){var k=l.r2l(M[_]);m[0][a]=Math.min(m[0][a],k),m[1][a]=Math.max(m[1][a],k)}}if(\"rangemode\"in l&&\"tozero\"===l.rangemode&&(m[0][a]=Math.min(m[0][a],0),m[1][a]=Math.max(m[1][a],0)),m[0][a]>m[1][a])m[0][a]=-1,m[1][a]=1;else{var A=m[1][a]-m[0][a];m[0][a]-=A/32,m[1][a]+=A/32}}else{var S=l.range;m[0][a]=l.r2l(S[0]),m[1][a]=l.r2l(S[1])}m[0][a]===m[1][a]&&(m[0][a]-=1,m[1][a]+=1),v[a]=m[1][a]-m[0][a],this.glplot.bounds[0][a]=m[0][a]*d[a],this.glplot.bounds[1][a]=m[1][a]*d[a]}var E=[1,1,1];for(a=0;a<3;++a){l=c[T[a]],u=l.type;var L=g[u];E[a]=Math.pow(L.acc,1/L.count)/d[a]}var C;if(\"auto\"===c.aspectmode)C=Math.max.apply(null,E)/Math.min.apply(null,E)<=4?E:[1,1,1];else if(\"cube\"===c.aspectmode)C=[1,1,1];else if(\"data\"===c.aspectmode)C=E;else{if(\"manual\"!==c.aspectmode)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var 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f=h.getContext(\"2d\"),d=f.createImageData(r,n);d.data.set(i),f.putImageData(d,0,0);var p;switch(t){case\"jpeg\":p=h.toDataURL(\"image/jpeg\");break;case\"webp\":p=h.toDataURL(\"image/webp\");break;default:p=h.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(c),p},A.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[T[t]];v.setConvert(e,this.fullLayout),e.setScale=m.noop}},e.exports=a},{\"../../components/fx\":645,\"../../lib\":728,\"../../lib/show_no_webgl_msg\":747,\"../../lib/str2rgbarray\":749,\"../../plots/cartesian/axes\":772,\"../../registry\":846,\"./camera\":810,\"./layout/convert\":815,\"./layout/spikes\":818,\"./layout/tick_marks\":819,\"./project\":820,\"gl-plot3d\":221,\"webgl-context\":563}],822:[function(t,e,r){\"use strict\";var n=t(\"./font_attributes\"),i=t(\"../components/color/attributes\"),a=n({editType:\"calc\"});a.family.dflt='\"Open Sans\", verdana, arial, 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strict\";e.exports={styleUrlPrefix:\"mapbox://styles/mapbox/\",styleUrlSuffix:\"v9\",controlContainerClassName:\"mapboxgl-control-container\",noAccessTokenErrorMsg:[\"Missing Mapbox access token.\",\"Mapbox trace type require a Mapbox access token to be registered.\",\"For example:\",\"  Plotly.plot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });\",\"More info here: https://www.mapbox.com/help/define-access-token/\"].join(\"\\n\"),mapOnErrorMsg:\"Mapbox error.\"}},{}],824:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=t.split(\" \"),i=r[0],a=r[1],o=Array.isArray(e)?n.mean(e):e,s=.5+o/100,l=1.5+o/100,u=[\"\",\"\"],c=[0,0];switch(i){case\"top\":u[0]=\"top\",c[1]=-l;break;case\"bottom\":u[0]=\"bottom\",c[1]=l}switch(a){case\"left\":u[1]=\"right\",c[0]=-s;break;case\"right\":u[1]=\"left\",c[0]=s}var h;return h=u[0]&&u[1]?u.join(\"-\"):u[0]?u[0]:u[1]?u[1]:\"center\",{anchor:h,offset:c}}},{\"../../lib\":728}],825:[function(t,e,r){\"use 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h=s[c],f=o.getSubplotCalcData(r,\"mapbox\",h),d=e[h],p=d._subplot;d.accesstoken=u,p||(p=l({gd:t,container:e._glcontainer.node(),id:h,fullLayout:e,staticPlot:t._context.staticPlot}),e[h]._subplot=p),p.viewInitial||(p.viewInitial={center:a.extendFlat({},d.center),zoom:d.zoom,bearing:d.bearing,pitch:d.pitch}),p.plot(f,e,t._promises)}},r.clean=function(t,e,r,n){for(var i=o.getSubplotIds(n,\"mapbox\"),a=0;a<i.length;a++){var s=i[a];!e[s]&&n[s]._subplot&&n[s]._subplot.destroy()}},r.toSVG=function(t){for(var e=t._fullLayout,r=o.getSubplotIds(e,\"mapbox\"),n=e._size,i=0;i<r.length;i++){var a=e[r[i]],l=a.domain,u=a._subplot,c=u.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:s.svg,\"xlink:href\":c,x:n.l+n.w*l.x[0],y:n.t+n.h*(1-l.y[1]),width:n.w*(l.x[1]-l.x[0]),height:n.h*(l.y[1]-l.y[0]),preserveAspectRatio:\"none\"}),u.destroy()}},r.updateFx=function(t){for(var e=o.getSubplotIds(t,\"mapbox\"),r=0;r<e.length;r++){t[e[r]]._subplot.updateFx(t)}}},{\"../../constants/xmlns_namespaces\":709,\"../../lib\":728,\"../plots\":831,\"./constants\":823,\"./layout_attributes\":827,\"./layout_defaults\":828,\"./mapbox\":829,\"mapbox-gl\":343}],826:[function(t,e,r){\"use strict\";function n(t,e){this.mapbox=t,this.map=t.map,this.uid=t.uid+\"-layer\"+e,this.idSource=this.uid+\"-source\",this.idLayer=this.uid+\"-layer\",this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}function i(t){var e=t.source;return s.isPlainObject(e)||\"string\"==typeof e&&e.length>0}function a(t){var e={},r={};switch(t.type){case\"circle\":s.extendFlat(r,{\"circle-radius\":t.circle.radius,\"circle-color\":t.color,\"circle-opacity\":t.opacity});break;case\"line\":s.extendFlat(r,{\"line-width\":t.line.width,\"line-color\":t.color,\"line-opacity\":t.opacity});break;case\"fill\":s.extendFlat(r,{\"fill-color\":t.color,\"fill-outline-color\":t.fill.outlinecolor,\"fill-opacity\":t.opacity});break;case\"symbol\":var n=t.symbol,i=l(n.textposition,n.iconsize);s.extendFlat(e,{\"icon-image\":n.icon+\"-15\",\"icon-size\":n.iconsize/10,\"text-field\":n.text,\"text-size\":n.textfont.size,\"text-anchor\":i.anchor,\"text-offset\":i.offset}),s.extendFlat(r,{\"icon-color\":t.color,\"text-color\":n.textfont.color,\"text-opacity\":t.opacity})}return{layout:e,paint:r}}function o(t){var e,r=t.sourcetype,n=t.source,i={type:r},a=\"string\"==typeof n;return\"geojson\"===r?e=\"data\":\"vector\"===r&&(e=a?\"url\":\"tiles\"),i[e]=n,i}var s=t(\"../../lib\"),l=t(\"./convert_text_opts\"),u=n.prototype;u.update=function(t){this.visible?this.needsNewSource(t)?(this.updateLayer(t),this.updateSource(t)):this.needsNewLayer(t)&&this.updateLayer(t):(this.updateSource(t),this.updateLayer(t)),this.updateStyle(t),this.visible=i(t)},u.needsNewSource=function(t){return this.sourceType!==t.sourcetype||this.source!==t.source||this.layerType!==t.type},u.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==t.below},u.updateSource=function(t){var e=this.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,i(t)){var r=o(t);e.addSource(this.idSource,r)}},u.updateLayer=function(t){var e=this.map;if(e.getLayer(this.idLayer)&&e.removeLayer(this.idLayer),this.layerType=t.type,i(t)){e.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":t.sourcelayer||\"\",type:t.type},t.below);var r={visibility:\"visible\"};this.mapbox.setOptions(this.idLayer,\"setLayoutProperty\",r)}},u.updateStyle=function(t){var e=a(t);i(t)&&(this.mapbox.setOptions(this.idLayer,\"setLayoutProperty\",e.layout),this.mapbox.setOptions(this.idLayer,\"setPaintProperty\",e.paint))},u.dispose=function(){var t=this.map;t.removeLayer(this.idLayer),t.removeSource(this.idSource)},e.exports=function(t,e,r){var i=new n(t,e);return i.update(r),i}},{\"../../lib\":728,\"./convert_text_opts\":824}],827:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\").defaultLine,a=t(\"../font_attributes\"),o=t(\"../../traces/scatter/attributes\").textposition,s=t(\"../../plot_api/edit_types\").overrideAll,l=a({});l.family.dflt=\"Open Sans Regular, Arial Unicode MS 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a=t(\"../../lib\"),o=t(\"../subplot_defaults\"),s=t(\"./layout_attributes\");e.exports=function(t,e,r){o(t,e,r,{type:\"mapbox\",attributes:s,handleDefaults:n,partition:\"y\"})}},{\"../../lib\":728,\"../subplot_defaults\":838,\"./layout_attributes\":827}],829:[function(t,e,r){\"use strict\";function n(t){this.id=t.id,this.gd=t.gd,this.container=t.container,this.isStatic=t.staticPlot;var e=t.fullLayout;this.uid=e._uid+\"-\"+this.id,this.opts=e[this.id],this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(e),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[]}function i(t){var e=d.style.values,r=d.style.dflt,n={};return u.isPlainObject(t)?(n.id=t.id,n.style=t):\"string\"==typeof t?(n.id=t,n.style=-1!==e.indexOf(t)?a(t):t):(n.id=r,n.style=a(r)),n}function a(t){return f.styleUrlPrefix+t+\"-\"+f.styleUrlSuffix}function o(t){return[t.lon,t.lat]}var 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n=t(\"../../../components/color/attributes\"),i=t(\"./axis_attributes\"),a=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=a({domain:{x:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]},y:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]}},bgcolor:{valType:\"color\",dflt:n.background},sum:{valType:\"number\",dflt:1,min:0},aaxis:i,baxis:i,caxis:i},\"plot\",\"from-root\")},{\"../../../components/color/attributes\":603,\"../../../plot_api/edit_types\":756,\"./axis_attributes\":841}],845:[function(t,e,r){\"use strict\";function n(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e)}function i(t){a.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}var 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w=b.MINZOOM/2+.87,M=\"m-0.87,.5h\"+w+\"v3h-\"+(w+5.2)+\"l\"+(w/2+2.6)+\",-\"+(.87*w+4.5)+\"l2.6,1.5l-\"+w/2+\",\"+.87*w+\"Z\",k=\"m0.87,.5h-\"+w+\"v3h\"+(w+5.2)+\"l-\"+(w/2+2.6)+\",-\"+(.87*w+4.5)+\"l-2.6,1.5l\"+w/2+\",\"+.87*w+\"Z\",A=\"m0,1l\"+w/2+\",\"+.87*w+\"l2.6,-1.5l-\"+(w/2+2.6)+\",-\"+(.87*w+4.5)+\"l-\"+(w/2+2.6)+\",\"+(.87*w+4.5)+\"l2.6,1.5l\"+w/2+\",-\"+.87*w+\"Z\",T=!0;x.initInteractions=function(){function t(t,e,r){var n=F.getBoundingClientRect();w=e-n.left,S=r-n.top,E={a:R.aaxis.range[0],b:R.baxis.range[1],c:R.caxis.range[1]},C=E,L=R.aaxis.range[1]-E.a,I=o(R.graphDiv._fullLayout[R.id].bgcolor).getLuminance(),z=\"M0,\"+R.h+\"L\"+R.w/2+\", 0L\"+R.w+\",\"+R.h+\"Z\",D=!1,P=N.append(\"path\").attr(\"class\",\"zoombox\").attr(\"transform\",\"translate(\"+R.x0+\", \"+R.y0+\")\").style({fill:I>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"d\",z),O=N.append(\"path\").attr(\"class\",\"zoombox-corners\").attr(\"transform\",\"translate(\"+R.x0+\", 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i=n.traces[e];i&&d(r.modules[e]._module.attributes,i)}}function a(t,e){var n=r.componentsRegistry[t].schema;if(n&&n.transforms){var i=n.transforms[e];i&&d(r.transformsRegistry[e].attributes,i)}}function o(t,e){var n=r.componentsRegistry[t].schema;if(n&&n.subplots){var i=r.subplotsRegistry[e],a=i.layoutAttributes,o=\"subplot\"===i.attr?i.name:i.attr;Array.isArray(o)&&(o=o[0]);var s=n.subplots[o];a&&s&&d(a,s)}}function s(t){return\"object\"==typeof t&&(t=t.type),t}var l=t(\"./lib/loggers\"),u=t(\"./lib/noop\"),c=t(\"./lib/push_unique\"),h=t(\"./lib/extend\"),f=h.extendFlat,d=h.extendDeepAll,p=t(\"./plots/attributes\"),m=t(\"./plots/layout_attributes\");r.modules={},r.allCategories={},r.allTypes=[],r.subplotsRegistry={},r.transformsRegistry={},r.componentsRegistry={},r.layoutArrayContainers=[],r.layoutArrayRegexes=[],r.traceLayoutAttributes={},r.register=function(t,e,n,a){if(r.modules[e])return void l.log(\"Type \"+e+\" already registered\");for(var 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v._infolayer.selectAll(\".cb\"+d).remove();\"heatmap\"===f.coloring?(s.zauto&&!1===s.autocontour&&(s._input.zmin=s.zmin=f.start-f.size/2,s._input.zmax=s.zmax=s.zmin+_.length*f.size),y(t,e,[n])):(v._paper.selectAll(\".hm\"+d).remove(),v._infolayer.selectAll(\"g.rangeslider-container\").selectAll(\".hm\"+d).remove()),b(_),x(_);var w=p.c2p(u[0],!0),M=p.c2p(u[u.length-1],!0),k=m.c2p(h[0],!0),A=m.c2p(h[h.length-1],!0),T=[[w,A],[M,A],[M,k],[w,k]],S=r.makeContourGroup(e,n,g);a(S,T,f),o(S,_,T,f),l(S,_,t,n[0],f,T),c(S,e,v._clips,n[0],T)}function i(t,e,r){for(var n=t.size,i=[],a=_(t),o=t.start;o<a;o+=n)if(i.push({level:o,crossings:{},starts:[],edgepaths:[],paths:[],xaxis:e.xaxis,yaxis:e.yaxis,x:r.x,y:r.y,z:r.z,smoothing:r.trace.line.smoothing}),i.length>1e3){d.warn(\"Too many contours, clipping at 1000\",t);break}return i}function a(t,e,r){var n=t.selectAll(\"g.contourbg\").data([0]);n.enter().append(\"g\").classed(\"contourbg\",!0);var 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val(pB, dim1B) + val(pC, dim1C) + val(pD, dim1D));\\n\\n    vec2 dimensionToggle = vec2(x, 1.0 - x);\\n\\n    vec2 scatterToggle = vec2(scatter, 1.0 - scatter);\\n\\n    float y = dot(yy, dimensionToggle);\\n    mat2 xy = mat2(viewBoxSize * yy + dimensionToggle, viewBoxSize * vec2(x, y));\\n\\n    vec2 viewBoxXY = viewBoxPosition + xy * scatterToggle;\\n\\n    float depthOrHide = depth + 2.0 * (1.0 - show);\\n\\n    gl_Position = vec4(\\n        xyProjection * (2.0 * viewBoxXY / resolution - 1.0),\\n        depthOrHide,\\n        1.0\\n    );\\n\\n    // pick coloring\\n    fragColor = vec4(pf.rgb, 1.0);\\n}\\n\":\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 p0, p1, p2, p3,\\n               p4, p5, p6, p7,\\n               p8, p9, pa, pb,\\n               pc, pd, pe;\\n\\nattribute vec4 pf;\\n\\nuniform mat4 dim1A, dim2A, dim1B, dim2B, dim1C, dim2C, dim1D, dim2D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution,\\n             viewBoxPosition,\\n             viewBoxSize;\\n\\nuniform sampler2D palette;\\n\\nuniform vec2 colorClamp;\\n\\nuniform float scatter;\\n\\nvarying vec4 fragColor;\\n\\nvec4 zero = vec4(0, 0, 0, 0);\\nvec4 unit = vec4(1, 1, 1, 1);\\nvec2 xyProjection = vec2(1, 1);\\n\\nmat4 mclamp(mat4 m, mat4 lo, mat4 hi) {\\n    return mat4(clamp(m[0], lo[0], hi[0]),\\n                clamp(m[1], lo[1], hi[1]),\\n                clamp(m[2], lo[2], hi[2]),\\n                clamp(m[3], lo[3], hi[3]));\\n}\\n\\nbool mshow(mat4 p, mat4 lo, mat4 hi) {\\n    return mclamp(p, lo, hi) == p;\\n}\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * unit, unit);\\n}\\n\\nvoid main() {\\n\\n    float x = 0.5 * sign(pf[3]) + 0.5;\\n    float prominence = abs(pf[3]);\\n    float depth = 1.0 - prominence;\\n\\n    mat4 pA = mat4(p0, p1, p2, p3);\\n    mat4 pB = mat4(p4, p5, p6, p7);\\n    mat4 pC = mat4(p8, p9, pa, pb);\\n    mat4 pD = mat4(pc, pd, pe, abs(pf));\\n\\n    float show = float(mshow(pA, loA, hiA) &&\\n                       mshow(pB, loB, hiB) &&\\n                       mshow(pC, loC, hiC) &&\\n                       mshow(pD, loD, hiD));\\n\\n    vec2 yy = show * vec2(val(pA, dim2A) + val(pB, dim2B) + val(pC, dim2C) + val(pD, dim2D),\\n                          val(pA, dim1A) + val(pB, dim1B) + val(pC, dim1C) + val(pD, dim1D));\\n\\n    vec2 dimensionToggle = vec2(x, 1.0 - x);\\n\\n    vec2 scatterToggle = vec2(scatter, 1.0 - scatter);\\n\\n    float y = dot(yy, dimensionToggle);\\n    mat2 xy = mat2(viewBoxSize * yy + dimensionToggle, viewBoxSize * vec2(x, y));\\n\\n    vec2 viewBoxXY = viewBoxPosition + xy * scatterToggle;\\n\\n    float depthOrHide = depth + 2.0 * (1.0 - show);\\n\\n    gl_Position = vec4(\\n        xyProjection * (2.0 * viewBoxXY / resolution - 1.0),\\n        depthOrHide,\\n        1.0\\n    );\\n\\n    // visible coloring\\n    float clampedColorIndex = clamp((prominence - colorClamp[0]) / (colorClamp[1] - colorClamp[0]), 0.0, 1.0);\\n    fragColor = texture2D(palette, vec2((clampedColorIndex * 255.0 + 0.5) / 256.0, 0.5));\\n}\\n\",frag:\"precision lowp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\",primitive:\"lines\",lineWidth:1,attributes:P,uniforms:{resolution:O.prop(\"resolution\"),viewBoxPosition:O.prop(\"viewBoxPosition\"),viewBoxSize:O.prop(\"viewBoxSize\"),dim1A:O.prop(\"dim1A\"),dim2A:O.prop(\"dim2A\"),dim1B:O.prop(\"dim1B\"),dim2B:O.prop(\"dim2B\"),dim1C:O.prop(\"dim1C\"),dim2C:O.prop(\"dim2C\"),dim1D:O.prop(\"dim1D\"),dim2D:O.prop(\"dim2D\"),loA:O.prop(\"loA\"),hiA:O.prop(\"hiA\"),loB:O.prop(\"loB\"),hiB:O.prop(\"hiB\"),loC:O.prop(\"loC\"),hiC:O.prop(\"hiC\"),loD:O.prop(\"loD\"),hiD:O.prop(\"hiD\"),palette:R,colorClamp:O.prop(\"colorClamp\"),scatter:O.prop(\"scatter\")},offset:O.prop(\"offset\"),count:O.prop(\"count\")}),j=[0,1],N=[];return{setColorDomain:y,render:x,readPixel:w,readPixels:M,destroy:O.destroy}}},{\"./constants\":1001,regl:499}],1005:[function(t,e,r){\"use strict\";function n(t){return t.key}function i(t){return[t]}function a(t){return!(\"visible\"in t)||t.visible}function o(t){var e=t.range?t.range[0]:w.min(t.values),r=t.range?t.range[1]:w.max(t.values);return!isNaN(e)&&isFinite(e)||(e=0),!isNaN(r)&&isFinite(r)||(r=0),e===r&&(void 0===e?(e=0,r=1):0===e?(e-=1,r+=1):(e*=.9,r*=1.1)),[e,r]}function s(t,e){var r,n,i,a,o;for(r=0,n=t.range(),i=1/0,a=n[0],o;r<n.length;r++){if((o=Math.abs(n[r]-e))>i)return a;i=o,a=n[r]}return n[n.length-1]}function l(t,e){return function(r,n){if(e){var i=e[n];return null===i||void 0===i?t(r):i}return t(r)}}function u(t,e,r){var n=o(r),i=r.ticktext;return r.tickvals?w.scale.ordinal().domain(r.tickvals.map(l(w.format(r.tickformat),i))).range(r.tickvals.map(function(t){return(t-n[0])/(n[1]-n[0])}).map(function(r){return t-e+r*(e-(t-e))})):w.scale.linear().domain(n).range([t-e,e])}function c(t,e){return w.scale.linear().range([t-e,e])}function h(t){return w.scale.linear().domain(o(t))}function f(t){var e=o(t);return t.tickvals&&w.scale.ordinal().domain(t.tickvals).range(t.tickvals.map(function(t){return(t-e[0])/(e[1]-e[0])}))}function d(t){var e=t.map(function(t){return t[0]}),r=t.map(function(t){return t[1]}),n=r.map(function(t){return w.rgb(t)}),i=function(t){return function(e){return e[t]}},a=\"rgb\".split(\"\").map(function(t){return w.scale.linear().clamp(!0).domain(e).range(n.map(i(t)))});return function(t){return a.map(function(e){return e(t)})}}function p(t){return t[0]}function m(t,e,r){var n=p(e),i=n.trace,o=n.lineColor,s=n.cscale,l=i.line,u=i.domain,c=i.dimensions,f=t.width,m=i.labelfont,v=i.tickfont,g=i.rangefont,y=_.extendDeep({},l,{color:o.map(h({values:o,range:[l.cmin,l.cmax]})),blockLineCount:x.blockLineCount,canvasOverdrag:x.overdrag*x.canvasPixelRatio}),b=Math.floor(f*(u.x[1]-u.x[0])),w=Math.floor(t.height*(u.y[1]-u.y[0])),M=t.margin||{l:80,r:80,t:100,b:80},k=b,A=w;return{key:r,colCount:c.filter(a).length,dimensions:c,tickDistance:x.tickDistance,unitToColor:d(s),lines:y,labelFont:m,tickFont:v,rangeFont:g,translateX:u.x[0]*f,translateY:t.height-u.y[1]*t.height,pad:M,canvasWidth:k*x.canvasPixelRatio+2*y.canvasOverdrag,canvasHeight:A*x.canvasPixelRatio,width:k,height:A,canvasPixelRatio:x.canvasPixelRatio}}function v(t){var e=t.width,r=t.height,n=t.dimensions,i=t.canvasPixelRatio,o=function(r){return e*r/Math.max(1,t.colCount-1)},s=x.verticalPadding/(r*i),l=1-2*s,d=function(t){return s+l*t},p={key:t.key,xScale:o,model:t},m={};return p.dimensions=n.filter(a).map(function(e,n){var a=h(e),s=m[e.label];return m[e.label]=(s||0)+1,{key:e.label+(s?\"__\"+s:\"\"),label:e.label,tickFormat:e.tickformat,tickvals:e.tickvals,ticktext:e.ticktext,ordinal:!!e.tickvals,scatter:x.scatter||e.scatter,xIndex:n,crossfilterDimensionIndex:n,visibleIndex:e._index,height:r,values:e.values,paddedUnitValues:e.values.map(a).map(d),xScale:o,x:o(n),canvasX:o(n)*i,unitScale:c(r,x.verticalPadding),domainScale:u(r,x.verticalPadding,e),ordinalScale:f(e),domainToUnitScale:a,filter:e.constraintrange?e.constraintrange.map(a):[0,1],parent:p,model:t}}),p}function g(t){return x.layers.map(function(e){return{key:e,context:\"contextLineLayer\"===e,pick:\"pickLineLayer\"===e,viewModel:t,model:t.model}})}function y(t){t.classed(\"axisExtentText\",!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"default\").style(\"user-select\",\"none\")}var b=t(\"./lines\"),x=t(\"./constants\"),_=t(\"../../lib\"),w=t(\"d3\"),M=t(\"../../components/drawing\");e.exports=function(t,e,r,a,o){function l(t){var e=t.selectAll(\"defs\").data(i,n);e.enter().append(\"defs\");var r=e.selectAll(\"#filterBarPattern\").data(i,n);r.enter().append(\"pattern\").attr(\"id\",\"filterBarPattern\").attr(\"patternUnits\",\"userSpaceOnUse\"),r.attr(\"x\",-x.bar.width).attr(\"width\",x.bar.capturewidth).attr(\"height\",function(t){return t.model.height});var a=r.selectAll(\"rect\").data(i,n);a.enter().append(\"rect\").attr(\"shape-rendering\",\"crispEdges\"),a.attr(\"height\",function(t){return t.model.height}).attr(\"width\",x.bar.width).attr(\"x\",x.bar.width/2).attr(\"fill\",x.bar.fillcolor).attr(\"fill-opacity\",x.bar.fillopacity).attr(\"stroke\",x.bar.strokecolor).attr(\"stroke-opacity\",x.bar.strokeopacity).attr(\"stroke-width\",x.bar.strokewidth)}function u(t){return t.dimensions.some(function(t){return 0!==t.filter[0]||1!==t.filter[1]})}function c(t,e){for(var r=e.panels||(e.panels=[]),n=t.each(function(t){return t})[e.key].map(function(t){return t.__data__}),i=n.length-1,a=0;a<1;a++)for(var o=0;o<i;o++){var s=r[o+a*i]||(r[o+a*i]={}),l=n[o],u=n[o+1];s.dim1=l,s.dim2=u,s.canvasX=l.canvasX,s.panelSizeX=u.canvasX-l.canvasX,s.panelSizeY=e.model.canvasHeight/1,s.y=a*s.panelSizeY,s.canvasY=e.model.canvasHeight-s.y-s.panelSizeY}}function h(t,e){for(var r=e.panels||(e.panels=[]),n=t.each(function(t){return t})[e.key].map(function(t){return t.__data__}),i=n.length-1,a=i,o=0;o<i;o++)for(var s=0;s<i;s++){var l=r[s+o*i]||(r[s+o*i]={}),u=n[s],c=n[s+1];l.dim1=n[o+1],l.dim2=c,l.canvasX=u.canvasX,l.panelSizeX=c.canvasX-u.canvasX,l.panelSizeY=e.model.canvasHeight/a,l.y=o*l.panelSizeY,l.canvasY=e.model.canvasHeight-l.y-l.panelSizeY}}function f(t,e){return(x.scatter?h:c)(t,e)}function d(t){return t.ordinal?function(){return\"\"}:w.format(t.tickFormat)}function _(){W=!0,T=!0}function k(t){S=!1;var e=t.parent,r=t.brush.extent(),n=e.dimensions,i=n[t.xIndex].filter,a=W&&r[0]===r[1];a&&(t.brush.clear(),w.select(this).select(\"rect.extent\").attr(\"y\",-100));var o=a?[0,1]:r.slice();if(o[0]!==i[0]||o[1]!==i[1]){n[t.xIndex].filter=o,e.focusLineLayer&&e.focusLineLayer.render(e.panels,!0);var s=u(e);!X&&s?(e.contextLineLayer&&e.contextLineLayer.render(e.panels,!0),X=!0):X&&!s&&(e.contextLineLayer&&e.contextLineLayer.render(e.panels,!0,!0),X=!1)}W=!1}function A(t){var e=t.parent,r=t.brush.extent(),n=r[0]===r[1],i=e.dimensions,a=i[t.xIndex].filter;if(!n&&t.ordinal&&(a[0]=s(t.ordinalScale,a[0]),a[1]=s(t.ordinalScale,a[1]),a[0]===a[1]&&(a[0]=Math.max(0,a[0]-.05),a[1]=Math.min(1,a[1]+.05)),w.select(this).transition().duration(150).call(t.brush.extent(a)),e.focusLineLayer.render(e.panels,!0)),e.pickLineLayer&&e.pickLineLayer.render(e.panels,!0),S=!0,T=\"ending\",o&&o.filterChanged){var l=t.domainToUnitScale.invert,u=a.map(l);o.filterChanged(e.key,t.visibleIndex,u)}}var T=!1,S=!0,E=r.filter(function(t){return p(t).trace.visible}).map(m.bind(0,a)).map(v);t.selectAll(\".parcoords-line-layers\").remove();var L=t.selectAll(\".parcoords-line-layers\").data(E,n);L.enter().insert(\"div\",\".\"+e.attr(\"class\").split(\" \").join(\" .\")).classed(\"parcoords-line-layers\",!0).style(\"box-sizing\",\"content-box\"),L.style(\"transform\",function(t){return\"translate(\"+(t.model.translateX-x.overdrag)+\"px,\"+t.model.translateY+\"px)\"});var C=L.selectAll(\".parcoords-lines\").data(g,n),I={renderers:[],dimensions:[]},z=null;C.enter().append(\"canvas\").attr(\"class\",function(t){return\"parcoords-lines \"+(t.context?\"context\":t.pick?\"pick\":\"focus\")}).style(\"box-sizing\",\"content-box\").style(\"float\",\"left\").style(\"clear\",\"both\").style(\"left\",0).style(\"overflow\",\"visible\").style(\"position\",function(t,e){return\"absolute\"}).filter(function(t){return t.pick}).on(\"mousemove\",function(t){if(S&&t.lineLayer&&o&&o.hover){var e=w.event,r=this.width,n=this.height,i=w.mouse(this),a=i[0],s=i[1];if(a<0||s<0||a>=r||s>=n)return;var l=t.lineLayer.readPixel(a,n-1-s),u=0!==l[3],c=u?l[2]+256*(l[1]+256*l[0]):null,h={x:a,y:s,clientX:e.clientX,clientY:e.clientY,dataIndex:t.model.key,curveNumber:c};c!==z&&(u?o.hover(h):o.unhover&&o.unhover(h),z=c)}}),C.style(\"margin\",function(t){var e=t.model.pad;return e.t+\"px \"+e.r+\"px \"+e.b+\"px \"+e.l+\"px\"}).attr(\"width\",function(t){return t.model.canvasWidth}).attr(\"height\",function(t){return t.model.canvasHeight}).style(\"width\",function(t){return t.model.width+2*x.overdrag+\"px\"}).style(\"height\",function(t){return t.model.height+\"px\"}).style(\"opacity\",function(t){return t.pick?.01:1}),e.style(\"background\",\"rgba(255, 255, 255, 0)\");var D=e.selectAll(\".parcoords\").data(E,n);D.exit().remove(),D.enter().append(\"g\").classed(\"parcoords\",!0).attr(\"overflow\",\"visible\").style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"overflow\",\"visible\").style(\"shape-rendering\",\"crispEdges\").style(\"pointer-events\",\"none\").call(l),D.attr(\"width\",function(t){return t.model.width+t.model.pad.l+t.model.pad.r}).attr(\"height\",function(t){return t.model.height+t.model.pad.t+t.model.pad.b\n",
       "}).attr(\"transform\",function(t){return\"translate(\"+t.model.translateX+\",\"+t.model.translateY+\")\"});var P=D.selectAll(\".parcoordsControlView\").data(i,n);P.enter().append(\"g\").classed(\"parcoordsControlView\",!0).style(\"box-sizing\",\"content-box\"),P.attr(\"transform\",function(t){return\"translate(\"+t.model.pad.l+\",\"+t.model.pad.t+\")\"});var O=P.selectAll(\".yAxis\").data(function(t){return t.dimensions},n);O.enter().append(\"g\").classed(\"yAxis\",!0).each(function(t){I.dimensions.push(t)}),P.each(function(t){f(O,t)}),C.each(function(t){t.lineLayer=b(this,t.model.lines,t.model.canvasWidth,t.model.canvasHeight,t.viewModel.dimensions,t.viewModel.panels,t.model.unitToColor,t.context,t.pick,x.scatter),t.viewModel[t.key]=t.lineLayer,I.renderers.push(function(){t.lineLayer.render(t.viewModel.panels,!0)}),t.lineLayer.render(t.viewModel.panels,!t.context)}),O.attr(\"transform\",function(t){return\"translate(\"+t.xScale(t.xIndex)+\", 0)\"}),O.call(w.behavior.drag().origin(function(t){return t}).on(\"drag\",function(t){var e=t.parent;S=!1,T||(t.x=Math.max(-x.overdrag,Math.min(t.model.width+x.overdrag,w.event.x)),t.canvasX=t.x*t.model.canvasPixelRatio,O.sort(function(t,e){return t.x-e.x}).each(function(e,r){e.xIndex=r,e.x=t===e?e.x:e.xScale(e.xIndex),e.canvasX=e.x*e.model.canvasPixelRatio}),f(O,e),O.filter(function(e){return 0!==Math.abs(t.xIndex-e.xIndex)}).attr(\"transform\",function(t){return\"translate(\"+t.xScale(t.xIndex)+\", 0)\"}),w.select(this).attr(\"transform\",\"translate(\"+t.x+\", 0)\"),O.each(function(r,n,i){i===t.parent.key&&(e.dimensions[n]=r)}),e.contextLineLayer&&e.contextLineLayer.render(e.panels,!1,!u(e)),e.focusLineLayer.render&&e.focusLineLayer.render(e.panels))}).on(\"dragend\",function(t){var e=t.parent;if(T)return void(\"ending\"===T&&(T=!1));t.x=t.xScale(t.xIndex),t.canvasX=t.x*t.model.canvasPixelRatio,f(O,e),w.select(this).attr(\"transform\",function(t){return\"translate(\"+t.x+\", 0)\"}),e.contextLineLayer&&e.contextLineLayer.render(e.panels,!1,!u(e)),e.focusLineLayer&&e.focusLineLayer.render(e.panels),e.pickLineLayer&&e.pickLineLayer.render(e.panels,!0),S=!0,o&&o.axesMoved&&o.axesMoved(e.key,e.dimensions.map(function(t){return t.crossfilterDimensionIndex}))})),O.exit().remove();var R=O.selectAll(\".axisOverlays\").data(i,n);R.enter().append(\"g\").classed(\"axisOverlays\",!0),R.selectAll(\".axis\").remove();var F=R.selectAll(\".axis\").data(i,n);F.enter().append(\"g\").classed(\"axis\",!0),F.each(function(t){var e=t.model.height/t.model.tickDistance,r=t.domainScale,n=r.domain();w.select(this).call(w.svg.axis().orient(\"left\").tickSize(4).outerTickSize(2).ticks(e,t.tickFormat).tickValues(t.ordinal?n:null).tickFormat(t.ordinal?function(t){return t}:null).scale(r)),M.font(F.selectAll(\"text\"),t.model.tickFont)}),F.selectAll(\".domain, 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U=B.selectAll(\".axisExtentTop\").data(i,n);U.enter().append(\"g\").classed(\"axisExtentTop\",!0),U.attr(\"transform\",\"translate(0,\"+-x.axisExtentOffset+\")\");var V=U.selectAll(\".axisExtentTopText\").data(i,n);V.enter().append(\"text\").classed(\"axisExtentTopText\",!0).attr(\"alignment-baseline\",\"after-edge\").call(y),V.text(function(t){return d(t)(t.domainScale.domain().slice(-1)[0])}).each(function(t){M.font(V,t.model.rangeFont)});var H=B.selectAll(\".axisExtentBottom\").data(i,n);H.enter().append(\"g\").classed(\"axisExtentBottom\",!0),H.attr(\"transform\",function(t){return\"translate(0,\"+(t.model.height+x.axisExtentOffset)+\")\"});var q=H.selectAll(\".axisExtentBottomText\").data(i,n);q.enter().append(\"text\").classed(\"axisExtentBottomText\",!0).attr(\"alignment-baseline\",\"before-edge\").call(y),q.text(function(t){return d(t)(t.domainScale.domain()[0])}).each(function(t){M.font(q,t.model.rangeFont)});var 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n=t(\"../scattergl/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"}}},{\"../scattergl/attributes\":1077}],1019:[function(t,e,r){\"use strict\";function n(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=a(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}function i(t,e){var r=new n(t,e.uid);return r.update(e),r}var a=t(\"gl-pointcloud2d\"),o=t(\"../../lib/str2rgbarray\"),s=t(\"../scatter/get_trace_color\"),l=[\"xaxis\",\"yaxis\"],u=n.prototype;u.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},u.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=s(t,{})},u.updateFast=function(t){var e,r,n,i,a,s,l=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,c=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,f=t.indices,d=this.bounds;if(c){if(n=c,e=c.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(s=0;s<e;s++)i=n[2*s],a=n[2*s+1],i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),a<d[1]&&(d[1]=a),a>d[3]&&(d[3]=a);if(f)r=f;else for(r=new Int32Array(e),s=0;s<e;s++)r[s]=s}else for(e=l.length,n=new Float32Array(2*e),r=new 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r,n,i,a=e||.5,o=0;o<2;o++)r=this.scene[l[o]],n=r._min,n||(n=[]),n.push({val:t[o],pad:a}),i=r._max,i||(i=[]),i.push({val:t[o+2],pad:a})},u.dispose=function(){this.pointcloud.dispose()},e.exports=i},{\"../../lib/str2rgbarray\":749,\"../scatter/get_trace_color\":1040,\"gl-pointcloud2d\":230}],1020:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\");e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a(\"text\"),a(\"marker.color\",r),a(\"marker.opacity\"),a(\"marker.blend\"),a(\"marker.sizemin\"),a(\"marker.sizemax\"),a(\"marker.border.color\",r),a(\"marker.border.arearatio\")}},{\"../../lib\":728,\"./attributes\":1018}],1021:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.calc=t(\"../scatter3d/calc\"),n.plot=t(\"./convert\"),n.moduleType=\"trace\",n.name=\"pointcloud\",n.basePlotModule=t(\"../../plots/gl2d\"),n.categories=[\"gl2d\",\"showLegend\"],n.meta={},e.exports=n},{\"../../plots/gl2d\":808,\"../scatter3d/calc\":1056,\"./attributes\":1018,\"./convert\":1019,\"./defaults\":1020}],1022:[function(t,e,r){\"use strict\";var n=t(\"../../plots/font_attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/color/attributes\"),o=t(\"../../components/fx/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;e.exports=l({hoverinfo:s({},i.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hoverlabel:o.hoverlabel,domain:{x:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]},y:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]}},orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\"},valueformat:{valType:\"string\",dflt:\".3s\"},valuesuffix:{valType:\"string\",dflt:\"\"},arrangement:{valType:\"enumerated\",values:[\"snap\",\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"snap\"},textfont:n({}),node:{label:{valType:\"data_array\",dflt:[]},color:{valType:\"color\",arrayOk:!0},line:{color:{valType:\"color\",dflt:a.defaultLine,arrayOk:!0},width:{valType:\"number\",min:0,dflt:.5,arrayOk:!0}},pad:{valType:\"number\",arrayOk:!1,min:0,dflt:20},thickness:{valType:\"number\",arrayOk:!1,min:1,dflt:20}},link:{label:{valType:\"data_array\",dflt:[]},color:{valType:\"color\",arrayOk:!0},line:{color:{valType:\"color\",dflt:a.defaultLine,arrayOk:!0},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0}},source:{valType:\"data_array\",dflt:[]},target:{valType:\"data_array\",dflt:[]},value:{valType:\"data_array\",dflt:[]}}},\"calc\",\"nested\")},{\"../../components/color/attributes\":603,\"../../components/fx/attributes\":637,\"../../lib/extend\":717,\"../../plot_api/edit_types\":756,\"../../plots/attributes\":770,\"../../plots/font_attributes\":796}],1023:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../plots/plots\"),a=t(\"./plot\"),o=t(\"../../components/fx/layout_attributes\");r.name=\"sankey\",r.attr=\"type\",r.baseLayoutAttrOverrides=n({hoverlabel:o.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){var e=i.getSubplotCalcData(t.calcdata,\"sankey\",\"sankey\");e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"sankey\"),a=e._has&&e._has(\"sankey\");i&&!a&&n._paperdiv.selectAll(\".sankey\").remove()}},{\"../../components/fx/layout_attributes\":646,\"../../plot_api/edit_types\":756,\"../../plots/plots\":831,\"./plot\":1028}],1024:[function(t,e,r){\"use strict\";function n(t,e,r){for(var n=t.map(function(){return[]}),a=0;a<Math.min(e.length,r.length);a++){if(e[a]===r[a])return!0;n[e[a]].push(r[a])}return i(n).components.some(function(t){return t.length>1})}var i=t(\"strongly-connected-components\"),a=t(\"../../lib\");e.exports=function(t,e){return n(e.node.label,e.link.source,e.link.target)&&(a.error(\"Circularity is present in the Sankey data. Removing all nodes and links.\"),e.link.label=[],e.link.source=[],e.link.target=[],e.link.value=[],e.link.color=[],e.node.label=[],e.node.color=[]),[{link:e.link,node:e.node}]}},{\"../../lib\":728,\"strongly-connected-components\":528}],1025:[function(t,e,r){\"use strict\";e.exports={nodeTextOffsetHorizontal:4,nodeTextOffsetVertical:3,nodePadAcross:10,sankeyIterations:50,forceIterations:5,forceTicksPerFrame:10,duration:500,ease:\"cubic-in-out\"}},{}],1026:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\"),a=t(\"../../components/color/attributes\").defaults,o=t(\"../../components/color\"),s=t(\"tinycolor2\");e.exports=function(t,e,r,l){function u(r,a){return n.coerce(t,e,i,r,a)}u(\"node.label\"),u(\"node.pad\"),u(\"node.thickness\"),u(\"node.line.color\"),u(\"node.line.width\");var c=function(t){return a[t%a.length]};u(\"node.color\",e.node.label.map(function(t,e){return o.addOpacity(c(e),.8)})),u(\"link.label\"),u(\"link.source\"),u(\"link.target\"),u(\"link.value\"),u(\"link.line.color\"),u(\"link.line.width\"),u(\"link.color\",e.link.value.map(function(){return s(l.paper_bgcolor).getLuminance()<.333?\"rgba(255, 255, 255, 0.6)\":\"rgba(0, 0, 0, 0.2)\"})),u(\"domain.x\"),u(\"domain.y\"),u(\"orientation\"),u(\"valueformat\"),u(\"valuesuffix\"),u(\"arrangement\"),n.coerceFont(u,\"textfont\",n.extendFlat({},l.font));var h=function(t,r){return-1===e.link.source.indexOf(r)&&-1===e.link.target.indexOf(r)};e.node.label.some(h)&&n.warn(\"Some of the nodes are neither sources nor targets, they will not be displayed.\")}},{\"../../components/color\":604,\"../../components/color/attributes\":603,\"../../lib\":728,\"./attributes\":1022,tinycolor2:534}],1027:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.calc=t(\"./calc\"),n.plot=t(\"./plot\"),n.moduleType=\"trace\",n.name=\"sankey\",n.basePlotModule=t(\"./base_plot\"),n.categories=[\"noOpacity\"],n.meta={},e.exports=n},{\"./attributes\":1022,\"./base_plot\":1023,\"./calc\":1024,\"./defaults\":1026,\"./plot\":1028}],1028:[function(t,e,r){\"use strict\";function n(t){return\"\"!==t}function i(t,e){return t.filter(function(t){return t.key===e.traceId})}function a(t,e){p.select(t).select(\"path\").style(\"fill-opacity\",e),p.select(t).select(\"rect\").style(\"fill-opacity\",e)}function o(t){p.select(t).select(\"text.name\").style(\"fill\",\"black\")}function s(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function l(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function u(t,e,r){\n",
       "e&&r&&i(r,e).selectAll(\".sankeyLink\").filter(s(e)).call(h.bind(0,e,r,!1))}function c(t,e,r){e&&r&&i(r,e).selectAll(\".sankeyLink\").filter(s(e)).call(f.bind(0,e,r,!1))}function h(t,e,r,n){var a=n.datum().link.label;n.style(\"fill-opacity\",.4),a&&i(e,t).selectAll(\".sankeyLink\").filter(function(t){return t.link.label===a}).style(\"fill-opacity\",.4),r&&i(e,t).selectAll(\".sankeyNode\").filter(l(t)).call(u)}function f(t,e,r,n){var a=n.datum().link.label;n.style(\"fill-opacity\",function(t){return t.tinyColorAlpha}),a&&i(e,t).selectAll(\".sankeyLink\").filter(function(t){return t.link.label===a}).style(\"fill-opacity\",function(t){return t.tinyColorAlpha}),r&&i(e,t).selectAll(\".sankeyNode\").filter(l(t)).call(c)}function d(t,e){var r=t.hoverlabel||{},n=y.nestedProperty(r,e).get();return!Array.isArray(n)&&n}var p=t(\"d3\"),m=t(\"./render\"),v=t(\"../../components/fx\"),g=t(\"../../components/color\"),y=t(\"../../lib\");e.exports=function(t,e){var r=t._fullLayout,i=r._paper,s=r._size,l=function(e,r){var n=r.link;n.originalEvent=p.event,t._hoverdata=[n],v.click(t,{target:!0})},y=function(e,r,n){var i=r.link;i.originalEvent=p.event,p.select(e).call(h.bind(0,r,n,!0)),v.hover(t,i,\"sankey\")},b=function(e,i){var s=i.link.trace,l=t._fullLayout._paperdiv.node().getBoundingClientRect(),u=e.getBoundingClientRect(),c=u.left+u.width/2,h=u.top+u.height/2,f=v.loneHover({x:c-l.left,y:h-l.top,name:p.format(i.valueFormat)(i.link.value)+i.valueSuffix,text:[i.link.label||\"\",[\"Source:\",i.link.source.label].join(\" \"),[\"Target:\",i.link.target.label].join(\" \")].filter(n).join(\"<br>\"),color:d(s,\"bgcolor\")||g.addOpacity(i.tinyColorHue,1),borderColor:d(s,\"bordercolor\"),fontFamily:d(s,\"font.family\"),fontSize:d(s,\"font.size\"),fontColor:d(s,\"font.color\"),idealAlign:p.event.x<c?\"right\":\"left\"},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});a(f,.65),o(f)},x=function(e,n,i){p.select(e).call(f.bind(0,n,i,!0)),t.emit(\"plotly_unhover\",{event:p.event,points:[n.link]}),v.loneUnhover(r._hoverlayer.node())},_=function(e,r,n){var i=r.node;i.originalEvent=p.event,t._hoverdata=[i],p.select(e).call(c,r,n),v.click(t,{target:!0})},w=function(e,r,n){var i=r.node;i.originalEvent=p.event,p.select(e).call(u,r,n),v.hover(t,i,\"sankey\")},M=function(e,i){var s=i.node.trace,l=p.select(e).select(\".nodeRect\"),u=t._fullLayout._paperdiv.node().getBoundingClientRect(),c=l.node().getBoundingClientRect(),h=c.left-2-u.left,f=c.right+2-u.left,m=c.top+c.height/4-u.top,g=v.loneHover({x0:h,x1:f,y:m,name:p.format(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,[\"Incoming flow count:\",i.node.targetLinks.length].join(\" \"),[\"Outgoing flow count:\",i.node.sourceLinks.length].join(\" 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u(M),{key:r,trace:i,guid:Math.floor(1e12*(1+Math.random())),horizontal:h,width:_,height:w,nodePad:f,nodeLineColor:p,nodeLineWidth:m,linkLineColor:v,linkLineWidth:g,valueFormat:y,valueSuffix:b,textFont:x,translateX:o.x[0]*_+t.margin.l,translateY:t.height-o.y[1]*t.height+t.margin.t,dragParallel:h?w:_,dragPerpendicular:h?_:w,nodes:M,links:k,arrangement:c,sankey:A,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function f(t,e,r){var n=P(r.color),i=r.source.label+\"|\"+r.target.label,a=t[i];t[i]=(a||0)+1;var o=i+\"__\"+t[i];return r.trace=e.trace,r.curveNumber=e.trace.index,{key:o,traceId:e.key,link:r,tinyColorHue:O.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkLineColor:e.linkLineColor,linkLineWidth:e.linkLineWidth,valueFormat:e.valueFormat,valueSuffix:e.valueSuffix,sankey:e.sankey,interactionState:e.interactionState}}function d(t,e,r){var n=P(r.color),i=z.nodePadAcross,a=e.nodePad/2,o=r.dx,s=Math.max(.5,r.dy),l=r.label,u=t[l];t[l]=(u||0)+1;var c=l+\"__\"+t[l];return 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a(t).trace.visible}).map(h.bind(null,r)),n);l.exit().remove(),l.enter().append(\"g\").classed(\"sankey\",!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",\"auto\").style(\"box-sizing\",\"content-box\").attr(\"transform\",x),l.transition().ease(z.ease).duration(z.duration).attr(\"transform\",x);var u=l.selectAll(\".sankeyLinks\").data(i,n);u.enter().append(\"g\").classed(\"sankeyLinks\",!0).style(\"fill\",\"none\");var c=u.selectAll(\".sankeyLink\").data(function(t){var e={};return t.sankey.links().filter(function(t){return t.value}).map(f.bind(null,e,t))},n);c.enter().append(\"path\").classed(\"sankeyLink\",!0).attr(\"d\",m).call(S,l,s.linkEvents),c.style(\"stroke\",function(t){return b(t)?O.tinyRGB(P(t.linkLineColor)):t.tinyColorHue}).style(\"stroke-opacity\",function(t){return 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n=t(\"../../components/colorscale/color_attributes\"),i=t(\"../../components/errorbars/attributes\"),a=t(\"../../components/colorbar/attributes\"),o=t(\"../../plots/font_attributes\"),s=t(\"../../components/drawing/attributes\").dash,l=t(\"../../components/drawing\"),u=(t(\"./constants\"),t(\"../../lib/extend\").extendFlat);e.exports={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},x0:{valType:\"any\",dflt:0,editType:\"calc+clearAxisTypes\"},dx:{valType:\"number\",dflt:1,editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y0:{valType:\"any\",dflt:0,editType:\"calc+clearAxisTypes\"},dy:{valType:\"number\",dflt:1,editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\",\"text\"],extras:[\"none\"],editType:\"calc\"},hoveron:{valType:\"flaglist\",flags:[\"points\",\"fills\"],editType:\"style\"},line:{color:{valType:\"color\",editType:\"style\"},width:{valType:\"number\",min:0,dflt:2,editType:\"style\"},shape:{valType:\"enumerated\",values:[\"linear\",\"spline\",\"hv\",\"vh\",\"hvh\",\"vhv\"],dflt:\"linear\",editType:\"plot\"},smoothing:{valType:\"number\",min:0,max:1.3,dflt:1,editType:\"plot\"},dash:u({},s,{editType:\"style\"}),simplify:{valType:\"boolean\",dflt:!0,editType:\"plot\"},editType:\"plot\"},connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},cliponaxis:{valType:\"boolean\",dflt:!0,editType:\"plot\"},fill:{valType:\"enumerated\",values:[\"none\",\"tozeroy\",\"tozerox\",\"tonexty\",\"tonextx\",\"toself\",\"tonext\"],dflt:\"none\",editType:\"calc\"},fillcolor:{valType:\"color\",editType:\"style\"},marker:u({symbol:{valType:\"enumerated\",values:l.symbolList,dflt:\"circle\",arrayOk:!0,editType:\"style\"},opacity:{valType:\"number\",min:0,max:1,arrayOk:!0,editType:\"style\"},size:{valType:\"number\",min:0,dflt:6,arrayOk:!0,editType:\"calcIfAutorange\"},maxdisplayed:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},sizeref:{valType:\"number\",dflt:1,editType:\"calc\"},sizemin:{valType:\"number\",min:0,dflt:0,editType:\"calc\"},sizemode:{valType:\"enumerated\",values:[\"diameter\",\"area\"],dflt:\"diameter\",editType:\"calc\"},showscale:{valType:\"boolean\",dflt:!1,editType:\"calc\"},colorbar:a,line:u({width:{valType:\"number\",min:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},n(\"marker.line\")),gradient:{type:{valType:\"enumerated\",values:[\"radial\",\"horizontal\",\"vertical\",\"none\"],arrayOk:!0,dflt:\"none\",editType:\"calc\"},color:{valType:\"color\",arrayOk:!0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},n(\"marker\")),textposition:{valType:\"enumerated\",values:[\"top 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r,u,c,h=i.getFromId(t,e.xaxis||\"x\"),f=i.getFromId(t,e.yaxis||\"y\"),d=h.makeCalcdata(e,\"x\"),p=f.makeCalcdata(e,\"y\"),m=Math.min(d.length,p.length);h._minDtick=0,f._minDtick=0,d.length>m&&d.splice(m,d.length-m),p.length>m&&p.splice(m,p.length-m);var v={padded:!0},g={padded:!0};if(o.hasMarkers(e)){if(r=e.marker,u=r.size,Array.isArray(u)){var y={type:\"linear\"};i.setConvert(y),u=y.makeCalcdata(e.marker,\"size\"),u.length>m&&u.splice(m,u.length-m)}var b,x=1.6*(e.marker.sizeref||1);b=\"area\"===e.marker.sizemode?function(t){return Math.max(Math.sqrt((t||0)/x),3)}:function(t){return 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i=t(\"../scatter/attributes\"),a=t(\"../../components/colorscale/color_attributes\"),o=t(\"../../components/errorbars/attributes\"),s=t(\"../../constants/gl3d_dashes\"),l=t(\"../../constants/gl3d_markers\"),u=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll,h=i.line,f=i.marker,d=f.line,p=e.exports=c({x:i.x,y:i.y,z:{valType:\"data_array\"},text:u({},i.text,{}),hovertext:u({},i.hovertext,{}),mode:u({},i.mode,{dflt:\"lines+markers\"}),surfaceaxis:{valType:\"enumerated\",values:[-1,0,1,2],dflt:-1},surfacecolor:{valType:\"color\"},projection:{x:n(\"x\"),y:n(\"y\"),z:n(\"z\")},connectgaps:i.connectgaps,line:u({width:h.width,dash:{valType:\"enumerated\",values:Object.keys(s),dflt:\"solid\"},showscale:{valType:\"boolean\",dflt:!1}},a(\"line\")),marker:u({symbol:{valType:\"enumerated\",values:Object.keys(l),dflt:\"circle\",arrayOk:!0},size:u({},f.size,{dflt:8}),sizeref:f.sizeref,sizemin:f.sizemin,sizemode:f.sizemode,opacity:u({},f.opacity,{arrayOk:!1}),showscale:f.showscale,colorbar:f.colorbar,line:u({width:u({},d.width,{arrayOk:!1})},a(\"marker.line\"))},a(\"marker\")),textposition:u({},i.textposition,{dflt:\"top 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u=t.opacity;if(t.marker&&t.marker.opacity&&(u*=t.marker.opacity),r={gl:o,position:l.position,color:l.scatterColor,size:l.scatterSize,glyph:l.scatterMarker,opacity:u,orthographic:!0,lineWidth:l.scatterLineWidth,lineColor:l.scatterLineColor,project:l.project,projectScale:l.projectScale,projectOpacity:l.projectOpacity},-1!==this.mode.indexOf(\"markers\")?this.scatterPlot?this.scatterPlot.update(r):(this.scatterPlot=p(r),this.scatterPlot._trace=this,this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),a={gl:o,position:l.position,glyph:l.text,color:l.textColor,size:l.textSize,angle:l.textAngle,alignment:l.textOffset,font:l.textFont,orthographic:!0,lineWidth:0,project:!1,opacity:t.opacity},this.textLabels=t.hovertext||t.text,-1!==this.mode.indexOf(\"text\")?this.textMarkers?this.textMarkers.update(a):(this.textMarkers=p(a),this.textMarkers._trace=this,this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),n={gl:o,position:l.position,color:l.errorColor,error:l.errorBounds,lineWidth:l.errorLineWidth,capSize:l.errorCapSize,opacity:t.opacity},this.errorBars?l.errorBounds?this.errorBars.update(n):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):l.errorBounds&&(this.errorBars=m(n),this.errorBars._trace=this,this.scene.glplot.add(this.errorBars)),l.delaunayAxis>=0){var 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a=0,o=r(\"x\"),s=r(\"y\"),l=r(\"z\");return i.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],n),o&&s&&l&&(a=Math.min(o.length,s.length,l.length),a<o.length&&(e.x=o.slice(0,a)),a<s.length&&(e.y=s.slice(0,a)),a<l.length&&(e.z=l.slice(0,a))),a}var i=t(\"../../registry\"),a=t(\"../../lib\"),o=t(\"../scatter/subtypes\"),s=t(\"../scatter/marker_defaults\"),l=t(\"../scatter/line_defaults\"),u=t(\"../scatter/text_defaults\"),c=t(\"../../components/errorbars/defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,i){function f(r,n){return a.coerce(t,e,h,r,n)}if(!n(t,e,f,i))return void(e.visible=!1);f(\"text\"),f(\"hovertext\"),f(\"mode\"),o.hasLines(e)&&(f(\"connectgaps\"),l(t,e,r,i,f)),o.hasMarkers(e)&&s(t,e,r,i,f),o.hasText(e)&&u(t,e,i,f);var d=(e.line||{}).color,p=(e.marker||{}).color;f(\"surfaceaxis\")>=0&&f(\"surfacecolor\",d||p);for(var m=[\"x\",\"y\",\"z\"],v=0;v<3;++v){var g=\"projection.\"+m[v];f(g+\".show\")&&(f(g+\".opacity\"),f(g+\".scale\"))}c(t,e,r,{axis:\"z\"}),c(t,e,r,{axis:\"y\",inherit:\"z\"}),c(t,e,r,{axis:\"x\",inherit:\"z\"})}},{\"../../components/errorbars/defaults\":633,\"../../lib\":728,\"../../registry\":846,\"../scatter/line_defaults\":1043,\"../scatter/marker_defaults\":1048,\"../scatter/subtypes\":1052,\"../scatter/text_defaults\":1053,\"./attributes\":1055}],1060:[function(t,e,r){\"use strict\";var n={};n.plot=t(\"./convert\"),n.attributes=t(\"./attributes\"),n.markerSymbols=t(\"../../constants/gl3d_markers\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.moduleType=\"trace\",n.name=\"scatter3d\",n.basePlotModule=t(\"../../plots/gl3d\"),n.categories=[\"gl3d\",\"symbols\",\"markerColorscale\",\"showLegend\"],n.meta={},e.exports=n},{\"../../constants/gl3d_markers\":705,\"../../plots/gl3d\":811,\"../scatter/colorbar\":1034,\"./attributes\":1055,\"./calc\":1056,\"./convert\":1058,\"./defaults\":1059}],1061:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/colorscale/color_attributes\"),o=t(\"../../components/colorbar/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=n.marker,u=n.line,c=l.line;e.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:s({},n.mode,{dflt:\"markers\"}),text:s({},n.text,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:s({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:s({},n.fill,{values:[\"none\",\"toself\",\"tonext\"]}),fillcolor:n.fillcolor,marker:s({symbol:l.symbol,opacity:l.opacity,maxdisplayed:l.maxdisplayed,size:l.size,sizeref:l.sizeref,sizemin:l.sizemin,sizemode:l.sizemode,line:s({width:c.width,editType:\"calc\"},a(\"marker\".line)),gradient:l.gradient,editType:\"calc\"},a(\"marker\"),{showscale:l.showscale,colorbar:o}),textfont:n.textfont,textposition:n.textposition,hoverinfo:s({},i.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron}},{\"../../components/colorbar/attributes\":605,\"../../components/colorscale/color_attributes\":611,\"../../lib/extend\":717,\"../../plots/attributes\":770,\"../scatter/attributes\":1031}],1062:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/colorscale_calc\"),s=t(\"../scatter/arrays_to_calcdata\"),l=t(\"../carpet/lookup_carpetid\");e.exports=function(t,e){var r=e.carpetTrace=l(t,e);if(r&&r.visible&&\"legendonly\"!==r.visible){var u;e.xaxis=r.xaxis,e.yaxis=r.yaxis;var c,h,f=e.a.length,d=new Array(f),p=!1;for(u=0;u<f;u++)if(c=e.a[u],h=e.b[u],n(c)&&n(h)){var m=r.ab2xy(+c,+h,!0),v=r.isVisible(+c,+h);v||(p=!0),d[u]={x:m[0],y:m[1],a:c,b:h,vis:v}}else d[u]={x:!1,y:!1};e._needsCull=p,d[0].carpet=r,d[0].trace=e;var g,y;if(a.hasMarkers(e)&&(g=e.marker,y=g.size,Array.isArray(y))){var b={type:\"linear\"};i.setConvert(b),y=b.makeCalcdata(e.marker,\"size\"),y.length>f&&y.splice(f,y.length-f)}return o(e),s(d,e),d}}},{\"../../plots/cartesian/axes\":772,\"../carpet/lookup_carpetid\":903,\"../scatter/arrays_to_calcdata\":1030,\"../scatter/colorscale_calc\":1035,\"../scatter/subtypes\":1052,\"fast-isnumeric\":131}],1063:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),u=t(\"../scatter/text_defaults\"),c=t(\"../scatter/fillcolor_defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,f){function d(r,i){return n.coerce(t,e,h,r,i)}d(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var p,m=d(\"a\"),v=d(\"b\");if(!(p=Math.min(m.length,v.length)))return void(e.visible=!1);m&&p<m.length&&(e.a=m.slice(0,p)),v&&p<v.length&&(e.b=v.slice(0,p)),d(\"text\"),d(\"mode\",p<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,f,d),l(t,e,d),d(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,f,d,{gradient:!0}),a.hasText(e)&&u(t,e,f,d);var g=[];(a.hasMarkers(e)||a.hasText(e))&&(d(\"marker.maxdisplayed\"),g.push(\"points\")),d(\"fill\"),\"none\"!==e.fill&&(c(t,e,r,d),a.hasLines(e)||l(t,e,d)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||g.push(\"fills\"),d(\"hoveron\",g.join(\"+\")||\"points\")}},{\"../../lib\":728,\"../scatter/constants\":1036,\"../scatter/fillcolor_defaults\":1039,\"../scatter/line_defaults\":1043,\"../scatter/line_shape_defaults\":1045,\"../scatter/marker_defaults\":1048,\"../scatter/subtypes\":1052,\"../scatter/text_defaults\":1053,\"./attributes\":1061}],1064:[function(t,e,r){\"use strict\";var n=t(\"../scatter/hover\");e.exports=function(t,e,r,i){function a(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,g.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}var o=n(t,e,r,i);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,u=t.xa._length,c=u*l/2,h=u-c;return s.x0=Math.max(Math.min(s.x0,h),c),s.x1=Math.max(Math.min(s.x1,h),c),o}var f=s.cd[s.index];s.a=f.a,s.b=f.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var d=s.trace,p=d._carpet,m=f.hi||d.hoverinfo,v=m.split(\"+\"),g=[];-1!==v.indexOf(\"all\")&&(v=[\"a\",\"b\"]),-1!==v.indexOf(\"a\")&&a(p.aaxis,f.a),-1!==v.indexOf(\"b\")&&a(p.baxis,f.b);var y=p.ab2ij([f.a,f.b]),b=Math.floor(y[0]),x=y[0]-b,_=Math.floor(y[1]),w=y[1]-_,M=p.evalxy([],b,_,x,w);return g.push(\"y: \"+M[1].toFixed(3)),s.extraText=g.join(\"<br>\"),o}}},{\"../scatter/hover\":1041}],1065:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.plot=t(\"./plot\"),n.style=t(\"./style\"),n.hoverPoints=t(\"./hover\"),n.selectPoints=t(\"./select\"),n.moduleType=\"trace\",n.name=\"scattercarpet\",n.basePlotModule=t(\"../../plots/cartesian\"),n.categories=[\"carpet\",\"symbols\",\"markerColorscale\",\"showLegend\",\"carpetDependent\"],n.meta={},e.exports=n},{\"../../plots/cartesian\":782,\"../scatter/colorbar\":1034,\"./attributes\":1061,\"./calc\":1062,\"./defaults\":1063,\"./hover\":1064,\"./plot\":1066,\"./select\":1067,\"./style\":1068}],1066:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../components/drawing\");e.exports=function(t,e,r){var o,s,l,u=r[0][0].carpet,c={xaxis:i.getFromId(t,u.xaxis||\"x\"),yaxis:i.getFromId(t,u.yaxis||\"y\"),plot:e.plot};for(n(t,c,r),o=0;o<r.length;o++)s=r[o][0].trace,l=c.plot.selectAll(\"g.trace\"+s.uid+\" .js-line\"),a.setClipUrl(l,u._clipPathId)}},{\"../../components/drawing\":628,\"../../plots/cartesian/axes\":772,\"../scatter/plot\":1049}],1067:[function(t,e,r){\"use strict\";var n=t(\"../scatter/select\");e.exports=function(t,e){var r=n(t,e);if(r){var i,a,o,s=t.cd;for(o=0;o<r.length;o++)i=r[o],a=s[i.pointNumber],i.a=a.a,i.b=a.b,i.c=a.c,delete i.x,delete i.y;return r}}},{\"../scatter/select\":1050}],1068:[function(t,e,r){\"use strict\";var n=t(\"../scatter/style\");e.exports=function(t){for(var e=t._fullLayout._modules,r=0;r<e.length;r++)if(\"scatter\"===e[r].name)return;n(t)}},{\"../scatter/style\":1051}],1069:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/colorscale/color_attributes\"),o=t(\"../../components/drawing/attributes\").dash,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll,u=n.marker,c=n.line,h=u.line;e.exports=l({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country names\"],dflt:\"ISO-3\"},mode:s({},n.mode,{dflt:\"markers\"}),text:s({},n.text,{}),hovertext:s({},n.hovertext,{}),textfont:n.textfont,textposition:n.textposition,line:{color:c.color,width:c.width,dash:o},connectgaps:n.connectgaps,marker:s({symbol:u.symbol,opacity:u.opacity,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,showscale:u.showscale,colorbar:u.colorbar,line:s({width:h.width},a(\"marker.line\")),gradient:u.gradient},a(\"marker\")),fill:{valType:\"enumerated\",values:[\"none\",\"toself\"],dflt:\"none\"},fillcolor:n.fillcolor,hoverinfo:s({},i.hoverinfo,{flags:[\"lon\",\"lat\",\"location\",\"text\",\"name\"]})},\"calc\",\"nested\")},{\"../../components/colorscale/color_attributes\":611,\"../../components/drawing/attributes\":627,\"../../lib/extend\":717,\"../../plot_api/edit_types\":756,\"../../plots/attributes\":770,\"../scatter/attributes\":1031}],1070:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../scatter/colorscale_calc\"),o=t(\"../scatter/arrays_to_calcdata\");e.exports=function(t,e){for(var r=Array.isArray(e.locations),s=r?e.locations.length:e.lon.length,l=new Array(s),u=0;u<s;u++){var c=l[u]={};if(r){var h=e.locations[u];c.loc=\"string\"==typeof h?h:null}else{var f=e.lon[u],d=e.lat[u];n(f)&&n(d)?c.lonlat=[+f,+d]:c.lonlat=[i,i]}}return o(l,e),a(e),l}},{\"../../constants/numerical\":707,\"../scatter/arrays_to_calcdata\":1030,\"../scatter/colorscale_calc\":1035,\"fast-isnumeric\":131}],1071:[function(t,e,r){\"use strict\";function n(t,e,r){var n,i,a=0,o=r(\"locations\");return o?(r(\"locationmode\"),a=o.length):(n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length),a<n.length&&(e.lon=n.slice(0,a)),a<i.length&&(e.lat=i.slice(0,a)),a)}var i=t(\"../../lib\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,h){function f(r,n){return i.coerce(t,e,c,r,n)}if(!n(t,e,f))return void(e.visible=!1);f(\"text\"),f(\"hovertext\"),f(\"mode\"),a.hasLines(e)&&(s(t,e,r,h,f),f(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,h,f,{gradient:!0}),a.hasText(e)&&l(t,e,h,f),f(\"fill\"),\"none\"!==e.fill&&u(t,e,r,f)}},{\"../../lib\":728,\"../scatter/fillcolor_defaults\":1039,\"../scatter/line_defaults\":1043,\"../scatter/marker_defaults\":1048,\"../scatter/subtypes\":1052,\"../scatter/text_defaults\":1053,\"./attributes\":1069}],1072:[function(t,e,r){\"use strict\";e.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null,t}},{}],1073:[function(t,e,r){\"use strict\";function n(t,e,r){function n(t){return a.tickText(r,r.c2l(t),\"hover\").text+\"\\xb0\"}var i=e.hi||t.hoverinfo,o=\"all\"===i?u.hoverinfo.flags:i.split(\"+\"),s=-1!==o.indexOf(\"location\")&&Array.isArray(t.locations),c=-1!==o.indexOf(\"lon\"),h=-1!==o.indexOf(\"lat\"),f=-1!==o.indexOf(\"text\"),d=[];return s?d.push(e.loc):c&&h?d.push(\"(\"+n(e.lonlat[0])+\", \"+n(e.lonlat[1])+\")\"):c?d.push(\"lon: \"+n(e.lonlat[0])):h&&d.push(\"lat: \"+n(e.lonlat[1])),f&&l(e,t,d),d.join(\"<br>\")}var i=t(\"../../components/fx\"),a=t(\"../../plots/cartesian/axes\"),o=t(\"../../constants/numerical\").BADNUM,s=t(\"../scatter/get_trace_color\"),l=t(\"../scatter/fill_hover_text\"),u=t(\"./attributes\");e.exports=function(t,e,r){function a(t){var n=t.lonlat;if(n[0]===o)return 1/0;if(d(n))return 1/0;var i=p(n),a=p([e,r]),s=Math.abs(i[0]-a[0]),l=Math.abs(i[1]-a[1]),u=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(s*s+l*l)-u,1-3/u)}var l=t.cd,u=l[0].trace,c=t.xa,h=t.ya,f=t.subplot,d=f.projection.isLonLatOverEdges,p=f.project;if(i.getClosest(l,a,t),!1!==t.index){var m=l[t.index],v=m.lonlat,g=[c.c2p(v),h.c2p(v)],y=m.mrc||1;return t.x0=g[0]-y,t.x1=g[0]+y,t.y0=g[1]-y,t.y1=g[1]+y,t.loc=m.loc,t.lon=v[0],t.lat=v[1],t.color=s(u,m),t.extraText=n(u,m,f.mockAxis),[t]}}},{\"../../components/fx\":645,\"../../constants/numerical\":707,\"../../plots/cartesian/axes\":772,\"../scatter/fill_hover_text\":1038,\"../scatter/get_trace_color\":1040,\"./attributes\":1069}],1074:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.plot=t(\"./plot\"),n.hoverPoints=t(\"./hover\"),n.eventData=t(\"./event_data\"),n.selectPoints=t(\"./select\"),n.moduleType=\"trace\",n.name=\"scattergeo\",n.basePlotModule=t(\"../../plots/geo\"),n.categories=[\"geo\",\"symbols\",\"markerColorscale\",\"showLegend\",\"scatter-like\"],n.meta={},e.exports=n},{\"../../plots/geo\":800,\"../scatter/colorbar\":1034,\"./attributes\":1069,\"./calc\":1070,\"./defaults\":1071,\"./event_data\":1072,\"./hover\":1073,\"./plot\":1075,\"./select\":1076}],1075:[function(t,e,r){\"use strict\";function n(t,e){var r=t[0].trace;if(Array.isArray(r.locations))for(var n=c(r,e),i=r.locationmode,a=0;a<t.length;a++){var o=t[a],s=h(i,o.loc,n);o.lonlat=s?s.properties.ct:[u,u]}}function i(t){var e=t.layers.frontplot.selectAll(\".trace.scattergeo\");e.style(\"opacity\",function(t){return t[0].trace.opacity}),e.each(function(e){var r=e[0].trace,n=a.select(this);n.selectAll(\"path.point\").call(o.pointStyle,r,t.graphDiv),n.selectAll(\"text\").call(o.textPointStyle,r,t.graphDiv)}),e.selectAll(\"path.js-line\").style(\"fill\",\"none\").each(function(t){var e=a.select(this),r=t.trace,n=r.line||{};e.call(s.stroke,n.color).call(o.dashLine,n.dash||\"\",n.width||0),\"none\"!==r.fill&&e.call(s.fill,r.fillcolor)})}var a=t(\"d3\"),o=t(\"../../components/drawing\"),s=t(\"../../components/color\"),l=t(\"../../lib\"),u=t(\"../../constants/numerical\").BADNUM,c=t(\"../../lib/topojson_utils\").getTopojsonFeatures,h=t(\"../../lib/geo_location_utils\").locationToFeature,f=t(\"../../lib/geojson_utils\"),d=t(\"../scatter/subtypes\")\n",
       ";e.exports=function(t,e){function r(t){return t[0].trace.uid}function o(t,e){t.lonlat[0]===u&&a.select(e).remove()}for(var s=0;s<e.length;s++)n(e[s],t.topojson);var c=t.layers.frontplot.select(\".scatterlayer\").selectAll(\"g.trace.scattergeo\").data(e,r);c.enter().append(\"g\").attr(\"class\",\"trace scattergeo\"),c.exit().remove(),c.selectAll(\"*\").remove(),c.each(function(t){var e=t[0].node3=a.select(this),r=t[0].trace;if(d.hasLines(r)||\"none\"!==r.fill){var n=f.calcTraceToLineCoords(t),i=\"none\"!==r.fill?f.makePolygon(n):f.makeLine(n);e.selectAll(\"path.js-line\").data([{geojson:i,trace:r}]).enter().append(\"path\").classed(\"js-line\",!0).style(\"stroke-miterlimit\",2)}d.hasMarkers(r)&&e.selectAll(\"path.point\").data(l.identity).enter().append(\"path\").classed(\"point\",!0).each(function(t){o(t,this)}),d.hasText(r)&&e.selectAll(\"g\").data(l.identity).enter().append(\"g\").append(\"text\").each(function(t){o(t,this)})}),i(t)}},{\"../../components/color\":604,\"../../components/drawing\":628,\"../../constants/numerical\":707,\"../../lib\":728,\"../../lib/geo_location_utils\":720,\"../../lib/geojson_utils\":721,\"../../lib/topojson_utils\":753,\"../scatter/subtypes\":1052,d3:122}],1076:[function(t,e,r){\"use strict\";var n=t(\"../scatter/subtypes\"),i=t(\"../../constants/interactions\").DESELECTDIM;e.exports=function(t,e){var r,a,o,s,l,u=t.cd,c=t.xaxis,h=t.yaxis,f=[],d=u[0].trace,p=u[0].node3,m=!n.hasMarkers(d)&&!n.hasText(d);if(!0===d.visible&&!m){var v=d.marker,g=Array.isArray(v.opacity)?1:v.opacity;if(!1===e)for(l=0;l<u.length;l++)u[l].dim=0;else for(l=0;l<u.length;l++)r=u[l],a=r.lonlat,o=c.c2p(a),s=h.c2p(a),e.contains([o,s])?(f.push({pointNumber:l,lon:a[0],lat:a[1]}),r.dim=0):r.dim=1;return p.selectAll(\"path.point\").style(\"opacity\",function(t){return((t.mo+1||g+1)-1)*(t.dim?i:1)}),p.selectAll(\"text\").style(\"opacity\",function(t){return t.dim?i:1}),f}}},{\"../../constants/interactions\":706,\"../scatter/subtypes\":1052}],1077:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../components/colorscale/color_attributes\"),a=t(\"../../constants/gl2d_dashes\"),o=t(\"../../constants/gl2d_markers\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll,u=n.line,c=n.marker,h=c.line,f=e.exports=l({x:n.x,x0:n.x0,dx:n.dx,y:n.y,y0:n.y0,dy:n.dy,text:s({},n.text,{}),mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\"],extras:[\"none\"]},line:{color:u.color,width:u.width,dash:{valType:\"enumerated\",values:Object.keys(a),dflt:\"solid\"}},marker:s({},i(\"marker\"),{symbol:{valType:\"enumerated\",values:Object.keys(o),dflt:\"circle\",arrayOk:!0},size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,opacity:c.opacity,showscale:c.showscale,colorbar:c.colorbar,line:s({},i(\"marker.line\"),{width:h.width})}),connectgaps:n.connectgaps,fill:s({},n.fill,{values:[\"none\",\"tozeroy\",\"tozerox\"]}),fillcolor:n.fillcolor,error_y:n.error_y,error_x:n.error_x},\"calc\",\"nested\");f.x.editType=f.y.editType=f.x0.editType=f.y0.editType=\"calc+clearAxisTypes\"},{\"../../components/colorscale/color_attributes\":611,\"../../constants/gl2d_dashes\":702,\"../../constants/gl2d_markers\":703,\"../../lib/extend\":717,\"../../plot_api/edit_types\":756,\"../scatter/attributes\":1031}],1078:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\"),i=t(\"../scatter/arrays_to_calcdata\"),a=t(\"../scatter/colorscale_calc\");e.exports=function(t,e){var r,o=t._fullLayout.dragmode;if(\"lasso\"===o||\"select\"===o){var s,l=n.getFromId(t,e.xaxis||\"x\"),u=n.getFromId(t,e.yaxis||\"y\"),c=l.makeCalcdata(e,\"x\"),h=u.makeCalcdata(e,\"y\"),f=Math.min(c.length,h.length);for(r=new Array(f),s=0;s<f;s++)r[s]={x:c[s],y:h[s]}}else r=[{x:!1,y:!1,trace:e,t:{}}],i(r,e);return a(e),r}},{\"../../plots/cartesian/axes\":772,\"../scatter/arrays_to_calcdata\":1030,\"../scatter/colorscale_calc\":1035}],1079:[function(t,e,r){\"use strict\";function n(t,e){this.scene=t,this.uid=e,this.type=\"scattergl\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.connectgaps=!0,this.index=null,this.idToIndex=[],this.bounds=[0,0,0,0],this.isVisible=!1,this.hasLines=!1,this.hasErrorX=!1,this.hasErrorY=!1,this.hasMarkers=!1,this.line=this.initObject(m,{positions:new Float64Array(0),color:[0,0,0,1],width:1,fill:[!1,!1,!1,!1],fillColor:[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],dashes:[1]},0),this.errorX=this.initObject(v,{positions:new Float64Array(0),errors:new Float64Array(0),lineWidth:1,capSize:0,color:[0,0,0,1]},1),this.errorY=this.initObject(v,{positions:new Float64Array(0),errors:new Float64Array(0),lineWidth:1,capSize:0,color:[0,0,0,1]},2);var r={positions:new Float64Array(0),sizes:[],colors:[],glyphs:[],borderWidths:[],borderColors:[],size:12,color:[0,0,0,1],borderSize:1,borderColor:[0,0,0,1],snapPoints:!0},n=y.extendFlat({},r,{snapPoints:!1});this.scatter=this.initObject(d,r,3),this.fancyScatter=this.initObject(p,r,4),this.selectScatter=this.initObject(d,n,5)}function i(t,e,r){return Array.isArray(e)||(e=[e]),a(t,e,r)}function a(t,e,r){for(var n=new Array(r),i=e[0],a=0;a<r;++a)n[a]=t(a>=e.length?i:e[a]);return n}function o(t,e,r){return l(O(t,r),P(e,r),r)}function s(t,e,r,n){var i=k(t,e,n);return i=Array.isArray(i[0])?i:a(y.identity,[i],n),l(i,P(r,n),n)}function l(t,e,r){for(var n=new Array(4*r),i=0;i<r;++i){for(var a=0;a<3;++a)n[4*i+a]=t[i][a];n[4*i+3]=t[i][3]*e[i]}return n}function u(t){return\"\"===t.split(\"-open\")[1]}function c(t,e,r,n,i){var a,o=i?C:1;for(a=0;a<3;a++)t[4*r+a]=e[4*n+a];t[4*r+a]=o*e[4*n+a]}function h(t){for(var e,r=t.length,n=Math.max(1,(r-1)/Math.min(Math.max(r,1),1e3)),i=0;i<r;i+=n)if(e=t[Math.floor(i)],!(g(e)||e instanceof Date))return!1;return!0}function f(t,e,r){var i=new n(t,e.uid);return i.update(e,r),i}var d=t(\"gl-scatter2d\"),p=t(\"gl-scatter2d-sdf\"),m=t(\"gl-line2d\"),v=t(\"gl-error2d\"),g=t(\"fast-isnumeric\"),y=t(\"../../lib\"),b=t(\"../../plots/cartesian/axes\"),x=t(\"../../plots/cartesian/axis_autotype\"),_=t(\"../../components/errorbars\"),w=t(\"../../lib/str2rgbarray\"),M=t(\"../../lib/typed_array_truncate\"),k=t(\"../../lib/gl_format_color\"),A=t(\"../scatter/subtypes\"),T=t(\"../scatter/make_bubble_size_func\"),S=t(\"../scatter/get_trace_color\"),E=t(\"../../constants/gl2d_markers\"),L=t(\"../../constants/gl2d_dashes\"),C=t(\"../../constants/interactions\").DESELECTDIM,I=[\"xaxis\",\"yaxis\"],z=[0,0,0,0],D=n.prototype;D.initObject=function(t,e,r){function n(){u||(u=t(s,e),u._trace=o,u._index=r),u.update(e)}function i(){u&&u.update(l)}function a(){u&&u.dispose()}var o=this,s=o.scene.glplot,l=y.extendFlat({},e),u=null;return{options:e,update:n,clear:i,dispose:a}},D.handlePick=function(t){var e=t.pointId;(t.object!==this.line||this.connectgaps)&&(e=this.idToIndex[t.pointId]);var r=this.pickXData[e];return{trace:this,dataCoord:t.dataCoord,traceCoord:[g(r)||!y.isDateTime(r)?r:y.dateTime2ms(r),this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:Array.isArray(this.color)?this.color[e]:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},D.isFancy=function(t){if(\"linear\"!==this.scene.xaxis.type&&\"date\"!==this.scene.xaxis.type)return!0;if(\"linear\"!==this.scene.yaxis.type)return!0;if(!t.x||!t.y)return!0;if(this.hasMarkers){var e=t.marker||{};if(Array.isArray(e.symbol)||\"circle\"!==e.symbol||Array.isArray(e.size)||Array.isArray(e.color)||Array.isArray(e.line.width)||Array.isArray(e.line.color)||Array.isArray(e.opacity))return!0}return!(!this.hasLines||this.connectgaps)||(!!this.hasErrorX||!!this.hasErrorY)};var P=i.bind(null,function(t){return+t}),O=i.bind(null,w),R=i.bind(null,function(t){return 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Float64Array(2*l),f=this.bounds,d=0,p=0,m=t.selection,v=t.xcalendar,b=h(o),_=!b&&\"date\"===x(o,v);if(b||_)for(e=0;e<l;++e)i=o[e],a=s[e],g(a)&&(b||(i=y.dateTime2ms(i,v)),c[p++]=i,c[p++]=a,u[d++]=e,f[0]=Math.min(f[0],i),f[1]=Math.min(f[1],a),f[2]=Math.max(f[2],i),f[3]=Math.max(f[3],a));if(c=M(c,p),this.idToIndex=u,m&&m.length)for(r=new Float64Array(2*m.length),e=0,n=m.length;e<n;e++)r[2*e+0]=m[e].x,r[2*e+1]=m[e].y;this.updateLines(t,c),this.updateError(\"X\",t),this.updateError(\"Y\",t);var k;if(this.hasMarkers){var A,T,S;r?(this.scatter.options.positions=null,A=w(t.marker.color),T=w(t.marker.line.color),S=t.opacity*t.marker.opacity*C,A[3]*=S,this.scatter.options.color=A,T[3]*=S,this.scatter.options.borderColor=T,k=t.marker.size,this.scatter.options.size=k,this.scatter.options.borderSize=t.marker.line.width,this.scatter.update(),this.scatter.options.positions=c,this.selectScatter.options.positions=r,A=w(t.marker.color),T=w(t.marker.line.color),S=t.opacity*t.marker.opacity,A[3]*=S,this.selectScatter.options.color=A,T[3]*=S,this.selectScatter.options.borderColor=T,k=t.marker.size,this.selectScatter.options.size=k,this.selectScatter.options.borderSize=t.marker.line.width,this.selectScatter.update()):(this.scatter.options.positions=c,A=w(t.marker.color),T=w(t.marker.line.color),S=t.opacity*t.marker.opacity,A[3]*=S,this.scatter.options.color=A,T[3]*=S,this.scatter.options.borderColor=T,k=t.marker.size,this.scatter.options.size=k,this.scatter.options.borderSize=t.marker.line.width,this.scatter.update())}else this.scatter.clear();this.fancyScatter.clear(),this.expandAxesFast(f,k)},D.updateFancy=function(t){var e=this.scene,r=e.xaxis,n=e.yaxis,a=this.bounds,o=t.selection,l=this.pickXData=r.makeCalcdata(t,\"x\").slice(),h=this.pickYData=n.makeCalcdata(t,\"y\").slice();this.xData=l.slice(),this.yData=h.slice();var f,d,p,m,v,g,y,b=_.calcFromTrace(t,e.fullLayout),x=l.length,w=new Array(x),k=new Float64Array(2*x),A=new Float64Array(4*x),S=new Float64Array(4*x),L=0,C=0,I=0,D=0,O=\"log\"===r.type?r.d2l:function(t){return t},F=\"log\"===n.type?n.d2l:function(t){return t};for(f=0;f<x;++f)this.xData[f]=d=O(l[f]),this.yData[f]=p=F(h[f]),isNaN(d)||isNaN(p)||(w[L++]=f,k[C++]=d,k[C++]=p,m=A[I++]=d-b[f].xs||0,v=A[I++]=b[f].xh-d||0,A[I++]=0,A[I++]=0,S[D++]=0,S[D++]=0,g=S[D++]=p-b[f].ys||0,y=S[D++]=b[f].yh-p||0,a[0]=Math.min(a[0],d-m),a[1]=Math.min(a[1],p-g),a[2]=Math.max(a[2],d+v),a[3]=Math.max(a[3],p+y));k=M(k,C),this.idToIndex=w,this.updateLines(t,k),this.updateError(\"X\",t,k,A),this.updateError(\"Y\",t,k,S);var j,N;if(o&&o.length)for(N={},f=0;f<o.length;f++)N[o[f].pointNumber]=!0;if(this.hasMarkers){this.scatter.options.positions=k,this.scatter.options.sizes=new Array(L),this.scatter.options.glyphs=new Array(L),this.scatter.options.borderWidths=new Array(L),this.scatter.options.colors=new Array(4*L),this.scatter.options.borderColors=new Array(4*L);var B,U,V,H,q,G,Y,W,X,Z,J=T(t),K=t.marker,Q=K.opacity,$=t.opacity,tt=R(K.symbol,x),et=s(K,Q,$,x),rt=P(K.line.width,x),nt=s(K.line,Q,$,x);for(j=i(J,K.size,x),f=0;f<L;++f)B=w[f],V=tt[B],H=E[V],q=u(V),G=N&&!N[B],Y=H.noBorder&&!q?nt:et,W=q?et:nt,U=j[B],X=rt[B],Z=H.noBorder||H.noFill?.1*U:0,this.scatter.options.sizes[f]=4*U,this.scatter.options.glyphs[f]=H.unicode,this.scatter.options.borderWidths[f]=.5*(X>Z?X-Z:0),!q||H.noBorder||H.noFill?c(this.scatter.options.colors,Y,f,B,G):c(this.scatter.options.colors,z,f,0),c(this.scatter.options.borderColors,W,f,B,G);N?(this.scatter.options.positions=null,this.fancyScatter.update(),this.scatter.options.positions=k):this.fancyScatter.update()}else this.fancyScatter.clear();this.scatter.clear(),this.expandAxesFancy(l,h,j)},D.updateLines=function(t,e){var r;if(this.hasLines){var n=e;if(!t.connectgaps){var i=0,a=this.xData,s=this.yData;for(n=new Float64Array(2*a.length),r=0;r<a.length;++r)n[i++]=a[r],n[i++]=s[r]}this.line.options.positions=n;var l=o(t.line.color,t.opacity,1),u=Math.round(.5*this.line.options.width),c=(L[t.line.dash]||[1]).slice();for(r=0;r<c.length;++r)c[r]*=u;switch(t.fill){case\"tozeroy\":this.line.options.fill=[!1,!0,!1,!1];break;case\"tozerox\":this.line.options.fill=[!0,!1,!1,!1];break;default:this.line.options.fill=[!1,!1,!1,!1]}var h=w(t.fillcolor);this.line.options.color=l,this.line.options.width=2*t.line.width,this.line.options.dashes=c,this.line.options.fillColor=[h,h,h,h],this.line.update()}else this.line.clear()},D.updateError=function(t,e,r,n){var i=this[\"error\"+t],a=e[\"error_\"+t.toLowerCase()];\"x\"===t.toLowerCase()&&a.copy_ystyle&&(a=e.error_y),this[\"hasError\"+t]?(i.options.positions=r,i.options.errors=n,i.options.capSize=a.width,i.options.lineWidth=a.thickness/2,i.options.color=o(a.color,1,1),i.update()):i.clear()},D.expandAxesFast=function(t,e){for(var r,n,i,a=e||10,o=0;o<2;o++)r=this.scene[I[o]],n=r._min,n||(n=[]),n.push({val:t[o],pad:a}),i=r._max,i||(i=[]),i.push({val:t[o+2],pad:a})},D.expandAxesFancy=function(t,e,r){var n=this.scene,i={padded:!0,ppad:r};b.expand(n.xaxis,t,i),b.expand(n.yaxis,e,i)},D.dispose=function(){this.line.dispose(),this.errorX.dispose(),this.errorY.dispose(),this.scatter.dispose(),this.fancyScatter.dispose()},e.exports=f},{\"../../components/errorbars\":634,\"../../constants/gl2d_dashes\":702,\"../../constants/gl2d_markers\":703,\"../../constants/interactions\":706,\"../../lib\":728,\"../../lib/gl_format_color\":724,\"../../lib/str2rgbarray\":749,\"../../lib/typed_array_truncate\":754,\"../../plots/cartesian/axes\":772,\"../../plots/cartesian/axis_autotype\":773,\"../scatter/get_trace_color\":1040,\"../scatter/make_bubble_size_func\":1047,\"../scatter/subtypes\":1052,\"fast-isnumeric\":131,\"gl-error2d\":159,\"gl-line2d\":170,\"gl-scatter2d\":248,\"gl-scatter2d-sdf\":243}],1080:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/xy_defaults\"),s=t(\"../scatter/marker_defaults\"),l=t(\"../scatter/line_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),c=t(\"../../components/errorbars/defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,f){function d(r,i){return n.coerce(t,e,h,r,i)}var p=o(t,e,f,d);if(!p)return void(e.visible=!1);d(\"text\"),d(\"mode\",p<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(d(\"connectgaps\"),l(t,e,r,f,d)),a.hasMarkers(e)&&s(t,e,r,f,d),d(\"fill\"),\"none\"!==e.fill&&u(t,e,r,d),c(t,e,r,{axis:\"y\"}),c(t,e,r,{axis:\"x\",inherit:\"y\"})}},{\"../../components/errorbars/defaults\":633,\"../../lib\":728,\"../scatter/constants\":1036,\"../scatter/fillcolor_defaults\":1039,\"../scatter/line_defaults\":1043,\"../scatter/marker_defaults\":1048,\"../scatter/subtypes\":1052,\"../scatter/xy_defaults\":1054,\"./attributes\":1077}],1081:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.hoverPoints=t(\"../scatter/hover\"),n.calc=t(\"./calc\"),n.plot=t(\"./convert\"),n.selectPoints=t(\"./select\"),n.moduleType=\"trace\",n.name=\"scattergl\",n.basePlotModule=t(\"../../plots/gl2d\"),n.categories=[\"gl2d\",\"symbols\",\"errorBarsOK\",\"markerColorscale\",\"showLegend\",\"scatter-like\"],n.meta={},e.exports=n},{\"../../plots/gl2d\":808,\"../scatter/colorbar\":1034,\"../scatter/hover\":1041,\"./attributes\":1077,\"./calc\":1078,\"./convert\":1079,\"./defaults\":1080,\"./select\":1082}],1082:[function(t,e,r){\"use strict\";var n=t(\"../scatter/subtypes\");e.exports=function(t,e){var r,i,a,o,s=t.cd,l=t.xaxis,u=t.yaxis,c=[],h=s[0].trace,f=s[0]._glTrace,d=f.scene,p=!n.hasMarkers(h)&&!n.hasText(h);if(!0===h.visible&&!p){if(!1===e)for(r=0;r<s.length;r++)s[r].dim=0;else 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n=t(\"../scattergeo/attributes\"),i=t(\"../scatter/attributes\"),a=t(\"../../plots/mapbox/layout_attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorbar/attributes\"),l=t(\"../../lib/extend\").extendFlat,u=t(\"../../plot_api/edit_types\").overrideAll,c=n.line,h=n.marker;e.exports=u({lon:n.lon,lat:n.lat,mode:l({},i.mode,{dflt:\"markers\"}),text:l({},i.text,{}),hovertext:l({},i.hovertext,{}),line:{color:c.color,width:c.width},connectgaps:i.connectgaps,marker:{symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},opacity:h.opacity,size:h.size,sizeref:h.sizeref,sizemin:h.sizemin,sizemode:h.sizemode,color:h.color,colorscale:h.colorscale,cauto:h.cauto,cmax:h.cmax,cmin:h.cmin,autocolorscale:h.autocolorscale,reversescale:h.reversescale,showscale:h.showscale,colorbar:s},fill:n.fill,fillcolor:i.fillcolor,textfont:a.layers.symbol.textfont,textposition:a.layers.symbol.textposition,hoverinfo:l({},o.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]})},\"calc\",\"nested\")},{\"../../components/colorbar/attributes\":605,\"../../lib/extend\":717,\"../../plot_api/edit_types\":756,\"../../plots/attributes\":770,\"../../plots/mapbox/layout_attributes\":827,\"../scatter/attributes\":1031,\"../scattergeo/attributes\":1069}],1084:[function(t,e,r){\"use 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n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/colorscale/color_attributes\"),o=t(\"../../components/colorbar/attributes\"),s=t(\"../../components/drawing/attributes\").dash,l=t(\"../../lib/extend\").extendFlat,u=n.marker,c=n.line,h=u.line;e.exports={a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},c:{valType:\"data_array\",editType:\"calc\"},sum:{valType:\"number\",dflt:0,min:0,editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),hovertext:l({},n.hovertext,{}),line:{color:c.color,width:c.width,dash:s,shape:l({},c.shape,{values:[\"linear\",\"spline\"]}),smoothing:c.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,cliponaxis:n.cliponaxis,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"]}),fillcolor:n.fillcolor,marker:l({symbol:u.symbol,opacity:u.opacity,maxdisplayed:u.maxdisplayed,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,line:l({width:h.width,editType:\"calc\"},a(\"marker.line\")),gradient:u.gradient,editType:\"calc\"},a(\"marker\"),{showscale:u.showscale,colorbar:o}),textfont:n.textfont,textposition:n.textposition,hoverinfo:l({},i.hoverinfo,{flags:[\"a\",\"b\",\"c\",\"text\",\"name\"]}),hoveron:n.hoveron}},{\"../../components/colorbar/attributes\":605,\"../../components/colorscale/color_attributes\":611,\"../../components/drawing/attributes\":627,\"../../lib/extend\":717,\"../../plots/attributes\":770,\"../scatter/attributes\":1031}],1092:[function(t,e,r){\"use 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n=t(\"../scatter/hover\"),i=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r,a){function o(t,e){y.push(t._hovertitle+\": \"+i.tickText(t,e,\"hover\").text)}var s=n(t,e,r,a);if(s&&!1!==s[0].index){var l=s[0];if(void 0===l.index){var u=1-l.y0/t.ya._length,c=t.xa._length,h=c*u/2,f=c-h;return l.x0=Math.max(Math.min(l.x0,f),h),l.x1=Math.max(Math.min(l.x1,f),h),s}var d=l.cd[l.index];l.a=d.a,l.b=d.b,l.c=d.c,l.xLabelVal=void 0,l.yLabelVal=void 0;var p=l.trace,m=p._ternary,v=d.hi||p.hoverinfo,g=v.split(\"+\"),y=[];return-1!==g.indexOf(\"all\")&&(g=[\"a\",\"b\",\"c\"]),-1!==g.indexOf(\"a\")&&o(m.aaxis,d.a),-1!==g.indexOf(\"b\")&&o(m.baxis,d.b),-1!==g.indexOf(\"c\")&&o(m.caxis,d.c),l.extraText=y.join(\"<br>\"),s}}},{\"../../plots/cartesian/axes\":772,\"../scatter/hover\":1041}],1095:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.plot=t(\"./plot\"),n.style=t(\"./style\"),n.hoverPoints=t(\"./hover\"),n.selectPoints=t(\"./select\"),n.moduleType=\"trace\",n.name=\"scatterternary\",n.basePlotModule=t(\"../../plots/ternary\"),\n",
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517.65], \"showgrid\": false, \"domain\": [0.0, 1.0], \"side\": \"bottom\", \"tickfont\": {\"size\": 10.0}, \"nticks\": 8, \"mirror\": \"ticks\", \"showline\": true, \"title\": \"Pixel Position\", \"titlefont\": {\"size\": 10.0, \"color\": \"#000000\"}}, \"yaxis1\": {\"anchor\": \"x1\", \"zeroline\": false, \"ticks\": \"inside\", \"type\": \"linear\", \"range\": [-0.055386788311758174, 1.1631225545469217], \"showgrid\": false, \"domain\": [0.0, 1.0], \"side\": \"left\", \"tickfont\": {\"size\": 10.0}, \"nticks\": 8, \"mirror\": \"ticks\", \"showline\": true, \"title\": \"Intensity\", \"titlefont\": {\"size\": 10.0, \"color\": \"#000000\"}}, \"showlegend\": false}, {\"showLink\": true, \"linkText\": \"Export to plot.ly\"})});</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax_prof) = plt.subplots(1, 1, figsize = (12,4))\n",
    "\n",
    "ax_prof.plot(beam_img[beam_img.shape[0]//2], label = 'Beam Profile')\n",
    "ax_prof.plot(cell_img[beam_img.shape[0]//2], label = 'Sample Image')\n",
    "ax_prof.plot((cell_img*beam_img)[beam_img.shape[0]//2], label = 'Detector')\n",
    "ax_prof.set_ylabel('Intensity')\n",
    "ax_prof.set_xlabel('Pixel Position')\n",
    "# make an interactive plot\n",
    "import plotly.offline as py\n",
    "import plotly.tools as tls\n",
    "py.init_notebook_mode()\n",
    "py.iplot(tls.mpl_to_plotly(fig))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Frequently there is a fall-off of the beam away from the center (as is the case of a Gaussian beam which frequently shows up for laser systems). This can make extracting detail away from the center challenging"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11f23f978>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax1 = plt.subplots(1,1, figsize = (8,8))\n",
    "ax1.matshow(cell_img*beam_img, \n",
    "              cmap = 'hot');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Absorption Imaging (X-ray, Ultrasound, Optical)\n",
    "\n",
    "- For absorption/attenuation imaging $\\rightarrow$ [Beer-Lambert Law](http://en.wikipedia.org/wiki/Attenuation_coefficient)\n",
    " $$ I_{detector} = \\underbrace{I_{source}}_{I_{stimulus}}\\underbrace{\\exp(-\\alpha d)}_{S_{sample}} $$\n",
    " - Different components have a different $\\alpha$ based on the strength of the interaction between the light and the chemical / nuclear structure of the material\n",
    "$$ I_{sample}(x,y) = I_{source}\\exp(-\\alpha(x,y) d) $$\n",
    "$$ \\alpha = f(N,Z,\\sigma,\\cdots) $$\n",
    "\n",
    "- For segmentation this model is: \n",
    " - there are 2 (or more) distinct components that make up the image\n",
    " - these components are distinguishable by their values (or vectors, colors, tensors, ...)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11f23fc18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "I_source = 1.0\n",
    "d = 1.0\n",
    "alpha_1 = np.random.normal(1, 0.25, size = 100)\n",
    "alpha_2 = np.random.normal(2, 0.25, size = 100)\n",
    "alpha_3 = np.random.normal(3, 0.5, size = 100)\n",
    "\n",
    "abs_df = pd.DataFrame([dict(alpha = c_x, material = c_mat) for c_vec, c_mat in zip([alpha_1, alpha_2, alpha_3], \n",
    "                       ['material 1', 'material 2', 'material 3']) for c_x in c_vec])\n",
    "abs_df['I_detector'] = I_source*np.exp(-abs_df['alpha']*d)\n",
    "\n",
    "fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2,2, figsize = (12, 8))\n",
    "for c_mat, c_df in abs_df.groupby('material'):\n",
    "    ax1.scatter(x = c_df['alpha'], \n",
    "                y = c_df['I_detector'], \n",
    "                label = c_mat)\n",
    "    ax3.hist(c_df['alpha'], alpha = 0.5, label = c_mat)\n",
    "    ax2.hist(c_df['I_detector'],  alpha = 0.5, label = c_mat, orientation=\"horizontal\")\n",
    "ax1.set_xlabel('$\\\\alpha(x,y)$', fontsize = 15)\n",
    "ax1.set_ylabel('$I_{detector}$', fontsize = 18)\n",
    "ax1.legend()\n",
    "ax2.legend()\n",
    "ax3.legend(loc = 0)\n",
    "\n",
    "ax4.axis('off');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Example Mammography\n",
    "Mammographic imaging is an area where model-based absorption imaging is problematic. Even if we assume a constant illumination (_rarely_ the case), \n",
    "\n",
    "$$ I_{detector} = \\underbrace{I_{source}}_{I_{stimulus}}\\underbrace{\\exp(-\\alpha d)}_{S_{sample}} $$\n",
    "$$ \\downarrow $$\n",
    "$$ I_{detector} = \\exp(-\\alpha(x,y) d(x,y)) $$\n",
    "$$ \\downarrow $$\n",
    "$$ I_{detector} = \\exp(-\\int_{0}^{l}\\alpha(x,y, z) dz) $$\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Specifically the problem is related to the inability to separate the $\\alpha$ and $d$ terms. We model a basic breast volume as a half sphere with a constant absorption factor.\n",
    "\n",
    "$$\\alpha(x,y,z) = 1e-2$$\n",
    "\n",
    "The $\\int$ then turns into a $\\Sigma$ in discrete space "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script type='text/javascript'>if(!window.Plotly){define('plotly', function(require, exports, module) {/**\n",
       "* plotly.js v1.31.0\n",
       "* Copyright 2012-2017, Plotly, Inc.\n",
       "* All rights reserved.\n",
       "* Licensed under the MIT license\n",
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h=1;for(u=s(t,c,t.length,e),c=0;c<o;c++)h*=e;this.imuln(h),this.words[0]+u<67108864?this.words[0]+=u:this._iaddn(u)}},a.prototype.copy=function(t){t.words=new Array(this.length);for(var e=0;e<this.length;e++)t.words[e]=this.words[e];t.length=this.length,t.negative=this.negative,t.red=this.red},a.prototype.clone=function(){var t=new a(null);return this.copy(t),t},a.prototype._expand=function(t){for(;this.length<t;)this.words[this.length++]=0;return this},a.prototype.strip=function(){for(;this.length>1&&0===this.words[this.length-1];)this.length--;return this._normSign()},a.prototype._normSign=function(){return 1===this.length&&0===this.words[0]&&(this.negative=0),this},a.prototype.inspect=function(){return(this.red?\"<BN-R: \":\"<BN: \")+this.toString(16)+\">\"};var 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s=this.words[o],l=(16777215&(s<<i|a)).toString(16);a=s>>>24-i&16777215,r=0!==a||o!==this.length-1?_[6-l.length]+l+r:l+r,i+=2,i>=26&&(i-=26,o--)}for(0!==a&&(r=a.toString(16)+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}if(t===(0|t)&&t>=2&&t<=36){var u=w[t],c=M[t];r=\"\";var h=this.clone();for(h.negative=0;!h.isZero();){var f=h.modn(c).toString(t);h=h.idivn(c),r=h.isZero()?f+r:_[u-f.length]+f+r}for(this.isZero()&&(r=\"0\"+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}n(!1,\"Base should be between 2 and 36\")},a.prototype.toNumber=function(){var t=this.words[0];return 2===this.length?t+=67108864*this.words[1]:3===this.length&&1===this.words[2]?t+=4503599627370496+67108864*this.words[1]:this.length>2&&n(!1,\"Number can only safely store up to 53 bits\"),0!==this.negative?-t:t},a.prototype.toJSON=function(){return this.toString(16)},a.prototype.toBuffer=function(t,e){return n(void 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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<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<t.length;)this.words[this.length++]=0;for(var e=0;e<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>t.length?this.clone().ior(t):t.clone().ior(this)},a.prototype.uor=function(t){return this.length>t.length?this.clone().iuor(t):t.clone().iuor(this)},a.prototype.iuand=function(t){var e;e=this.length>t.length?t:this;for(var r=0;r<e.length;r++)this.words[r]=this.words[r]&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>t.length?this.clone().iand(t):t.clone().iand(this)},a.prototype.uand=function(t){return this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<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>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();var r,n;this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>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=this.cmp(t);if(0===r)return this.negative=0,this.length=1,this.words[0]=0,this;var n,i;r>0?(n=this,i=t):(n=t,i=this);for(var a=0,o=0;o<i.length;o++)e=(0|n.words[o])-(0|i.words[o])+a,a=e>>26,this.words[o]=67108863&e;for(;0!==a&&o<n.length;o++)e=(0|n.words[o])+a,a=e>>26,this.words[o]=67108863&e;if(0===a&&o<n.length&&n!==this)for(;o<n.length;o++)this.words[o]=n.words[o];return this.length=Math.max(this.length,o),n!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var k=function(t,e,r){var 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gt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(g,U),i=Math.imul(g,V),i=i+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(p,q)|0,i=i+Math.imul(p,G)|0,i=i+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(h,W)|0,i=i+Math.imul(h,X)|0,i=i+Math.imul(f,W)|0,a=a+Math.imul(f,X)|0;var yt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(x,U),i=Math.imul(x,V),i=i+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(g,q)|0,i=i+Math.imul(g,G)|0,i=i+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(p,W)|0,i=i+Math.imul(p,X)|0,i=i+Math.imul(m,W)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(h,J)|0,i=i+Math.imul(h,K)|0,i=i+Math.imul(f,J)|0,a=a+Math.imul(f,K)|0;var 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xt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=Math.imul(T,V),i=i+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(M,q)|0,i=i+Math.imul(M,G)|0,i=i+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(x,W)|0,i=i+Math.imul(x,X)|0,i=i+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(g,J)|0,i=i+Math.imul(g,K)|0,i=i+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(p,$)|0,i=i+Math.imul(p,tt)|0,i=i+Math.imul(m,$)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(h,rt)|0,i=i+Math.imul(h,nt)|0,i=i+Math.imul(f,rt)|0,a=a+Math.imul(f,nt)|0;var _t=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=Math.imul(L,V),i=i+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(T,q)|0,i=i+Math.imul(T,G)|0,i=i+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(M,W)|0,i=i+Math.imul(M,X)|0,i=i+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(x,J)|0,i=i+Math.imul(x,K)|0,i=i+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(g,$)|0,i=i+Math.imul(g,tt)|0,i=i+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(p,rt)|0,i=i+Math.imul(p,nt)|0,i=i+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(h,at)|0,i=i+Math.imul(h,ot)|0,i=i+Math.imul(f,at)|0,a=a+Math.imul(f,ot)|0;var wt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(z,U),i=Math.imul(z,V),i=i+Math.imul(D,U)|0,a=Math.imul(D,V),n=n+Math.imul(L,q)|0,i=i+Math.imul(L,G)|0,i=i+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(T,W)|0,i=i+Math.imul(T,X)|0,i=i+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(M,J)|0,i=i+Math.imul(M,K)|0,i=i+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(x,$)|0,i=i+Math.imul(x,tt)|0,i=i+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(g,rt)|0,i=i+Math.imul(g,nt)|0,i=i+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(p,at)|0,i=i+Math.imul(p,ot)|0,i=i+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(h,lt)|0,i=i+Math.imul(h,ut)|0,i=i+Math.imul(f,lt)|0,a=a+Math.imul(f,ut)|0;var Mt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(O,U),i=Math.imul(O,V),i=i+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(z,q)|0,i=i+Math.imul(z,G)|0,i=i+Math.imul(D,q)|0,a=a+Math.imul(D,G)|0,n=n+Math.imul(L,W)|0,i=i+Math.imul(L,X)|0,i=i+Math.imul(C,W)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(T,J)|0,i=i+Math.imul(T,K)|0,i=i+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(M,$)|0,i=i+Math.imul(M,tt)|0,i=i+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(x,rt)|0,i=i+Math.imul(x,nt)|0,i=i+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(g,at)|0,i=i+Math.imul(g,ot)|0,i=i+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(p,lt)|0,i=i+Math.imul(p,ut)|0,i=i+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(h,ht)|0,i=i+Math.imul(h,ft)|0,i=i+Math.imul(f,ht)|0,a=a+Math.imul(f,ft)|0;var kt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(j,U),i=Math.imul(j,V),i=i+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(O,q)|0,i=i+Math.imul(O,G)|0,i=i+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(z,W)|0,i=i+Math.imul(z,X)|0,i=i+Math.imul(D,W)|0,a=a+Math.imul(D,X)|0,n=n+Math.imul(L,J)|0,i=i+Math.imul(L,K)|0,i=i+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(T,$)|0,i=i+Math.imul(T,tt)|0,i=i+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(M,rt)|0,i=i+Math.imul(M,nt)|0,i=i+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(x,at)|0,i=i+Math.imul(x,ot)|0,i=i+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(g,lt)|0,i=i+Math.imul(g,ut)|0,i=i+Math.imul(y,lt)|0,a=a+Math.imul(y,ut)|0,n=n+Math.imul(p,ht)|0,i=i+Math.imul(p,ft)|0,i=i+Math.imul(m,ht)|0,a=a+Math.imul(m,ft)|0,n=n+Math.imul(h,pt)|0,i=i+Math.imul(h,mt)|0,i=i+Math.imul(f,pt)|0,a=a+Math.imul(f,mt)|0;var At=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(j,q),i=Math.imul(j,G),i=i+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(O,W)|0,i=i+Math.imul(O,X)|0,i=i+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(z,J)|0,i=i+Math.imul(z,K)|0,i=i+Math.imul(D,J)|0,a=a+Math.imul(D,K)|0,n=n+Math.imul(L,$)|0,i=i+Math.imul(L,tt)|0,i=i+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(T,rt)|0,i=i+Math.imul(T,nt)|0,i=i+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(M,at)|0,i=i+Math.imul(M,ot)|0,i=i+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(x,lt)|0,i=i+Math.imul(x,ut)|0,i=i+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(g,ht)|0,i=i+Math.imul(g,ft)|0,i=i+Math.imul(y,ht)|0,a=a+Math.imul(y,ft)|0,n=n+Math.imul(p,pt)|0,i=i+Math.imul(p,mt)|0,i=i+Math.imul(m,pt)|0,a=a+Math.imul(m,mt)|0;var Tt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(j,W),i=Math.imul(j,X),i=i+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(O,J)|0,i=i+Math.imul(O,K)|0,i=i+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(z,$)|0,i=i+Math.imul(z,tt)|0,i=i+Math.imul(D,$)|0,a=a+Math.imul(D,tt)|0,n=n+Math.imul(L,rt)|0,i=i+Math.imul(L,nt)|0,i=i+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(T,at)|0,i=i+Math.imul(T,ot)|0,i=i+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(M,lt)|0,i=i+Math.imul(M,ut)|0,i=i+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(x,ht)|0,i=i+Math.imul(x,ft)|0,i=i+Math.imul(_,ht)|0,a=a+Math.imul(_,ft)|0,n=n+Math.imul(g,pt)|0,i=i+Math.imul(g,mt)|0,i=i+Math.imul(y,pt)|0,a=a+Math.imul(y,mt)|0;var St=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(j,J),i=Math.imul(j,K),i=i+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(O,$)|0,i=i+Math.imul(O,tt)|0,i=i+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(z,rt)|0,i=i+Math.imul(z,nt)|0,i=i+Math.imul(D,rt)|0,a=a+Math.imul(D,nt)|0,n=n+Math.imul(L,at)|0,i=i+Math.imul(L,ot)|0,i=i+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(T,lt)|0,i=i+Math.imul(T,ut)|0,i=i+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(M,ht)|0,i=i+Math.imul(M,ft)|0,i=i+Math.imul(k,ht)|0,a=a+Math.imul(k,ft)|0,n=n+Math.imul(x,pt)|0,i=i+Math.imul(x,mt)|0,i=i+Math.imul(_,pt)|0,a=a+Math.imul(_,mt)|0;var Et=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(j,$),i=Math.imul(j,tt),i=i+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(O,rt)|0,i=i+Math.imul(O,nt)|0,i=i+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(z,at)|0,i=i+Math.imul(z,ot)|0,i=i+Math.imul(D,at)|0,a=a+Math.imul(D,ot)|0,n=n+Math.imul(L,lt)|0,i=i+Math.imul(L,ut)|0,i=i+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(T,ht)|0,i=i+Math.imul(T,ft)|0,i=i+Math.imul(S,ht)|0,a=a+Math.imul(S,ft)|0,n=n+Math.imul(M,pt)|0,i=i+Math.imul(M,mt)|0,i=i+Math.imul(k,pt)|0,a=a+Math.imul(k,mt)|0;var Lt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(j,rt),i=Math.imul(j,nt),i=i+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(O,at)|0,i=i+Math.imul(O,ot)|0,i=i+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(z,lt)|0,i=i+Math.imul(z,ut)|0,i=i+Math.imul(D,lt)|0,a=a+Math.imul(D,ut)|0,n=n+Math.imul(L,ht)|0,\n",
       "i=i+Math.imul(L,ft)|0,i=i+Math.imul(C,ht)|0,a=a+Math.imul(C,ft)|0,n=n+Math.imul(T,pt)|0,i=i+Math.imul(T,mt)|0,i=i+Math.imul(S,pt)|0,a=a+Math.imul(S,mt)|0;var Ct=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(j,at),i=Math.imul(j,ot),i=i+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(O,lt)|0,i=i+Math.imul(O,ut)|0,i=i+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(z,ht)|0,i=i+Math.imul(z,ft)|0,i=i+Math.imul(D,ht)|0,a=a+Math.imul(D,ft)|0,n=n+Math.imul(L,pt)|0,i=i+Math.imul(L,mt)|0,i=i+Math.imul(C,pt)|0,a=a+Math.imul(C,mt)|0;var It=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(j,lt),i=Math.imul(j,ut),i=i+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(O,ht)|0,i=i+Math.imul(O,ft)|0,i=i+Math.imul(R,ht)|0,a=a+Math.imul(R,ft)|0,n=n+Math.imul(z,pt)|0,i=i+Math.imul(z,mt)|0,i=i+Math.imul(D,pt)|0,a=a+Math.imul(D,mt)|0;var zt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,n=Math.imul(j,ht),i=Math.imul(j,ft),i=i+Math.imul(N,ht)|0,a=Math.imul(N,ft),n=n+Math.imul(O,pt)|0,i=i+Math.imul(O,mt)|0,i=i+Math.imul(R,pt)|0,a=a+Math.imul(R,mt)|0;var Dt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,n=Math.imul(j,pt),i=Math.imul(j,mt),i=i+Math.imul(N,pt)|0,a=Math.imul(N,mt);var Pt=(u+n|0)+((8191&i)<<13)|0;return u=(a+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,l[0]=vt,l[1]=gt,l[2]=yt,l[3]=bt,l[4]=xt,l[5]=_t,l[6]=wt,l[7]=Mt,l[8]=kt,l[9]=At,l[10]=Tt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=It,l[16]=zt,l[17]=Dt,l[18]=Pt,0!==u&&(l[19]=u,r.length++),r};Math.imul||(k=u),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?k(this,t,e):r<63?u(this,t,e):r<1024?c(this,t,e):h(this,t,e)},f.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},f.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},f.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},f.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var h=l,f=u,d=0;d<o;d++){var p=r[c+d],m=n[c+d],v=r[c+d+o],g=n[c+d+o],y=h*v-f*g;g=h*g+f*v,v=y,r[c+d]=p+v,n[c+d]=m+g,r[c+d+o]=p-v,n[c+d+o]=m-g,d!==s&&(y=l*h-u*f,f=l*f+u*h,h=y)}},f.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},f.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<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}},f.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},f.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},f.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},f.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),h=new Array(n),f=r.words;f.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,h,n,i);for(var d=0;d<n;d++){var p=s[d]*c[d]-l[d]*h[d];l[d]=s[d]*h[d]+l[d]*c[d],s[d]=p}return this.conjugate(s,l,n),this.transform(s,l,f,a,n,i),this.conjugate(f,a,n),this.normalize13b(f,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),h(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(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=l(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<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){n(\"number\"==typeof t&&t>=0);var i;i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<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>=0&&(0!==c||u>=i);u--){var h=0|this.words[u];this.words[u]=c<<26-a|h>>>a,c=h&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(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(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof 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f=67108864*(0|n.words[i.length+h])+(0|n.words[i.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(i,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(i,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){if(n(!t.isZero()),this.isZero())return{div:new a(0),mod:new a(0)};var i,o,s;return 0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new 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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()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),h=e.clone();!e.isZero();){for(var f=0,d=1;0==(e.words[0]&d)&&f<26;++f,d<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(h)),i.iushrn(1),o.iushrn(1);for(var p=0,m=1;0==(r.words[0]&m)&&p<26;++p,m<<=1);if(p>0)for(r.iushrn(p);p-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=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=new a(1),o=new a(0),s=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var l=0,u=1;0==(e.words[0]&u)&&l<26;++l,u<<=1);if(l>0)for(e.iushrn(l);l-- >0;)i.isOdd()&&i.iadd(s),i.iushrn(1);for(var c=0,h=1;0==(r.words[0]&h)&&c<26;++c,h<<=1);if(c>0)for(r.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(s),o.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(o)):(r.isub(e),o.isub(i))}var f;return f=0===e.cmpn(1)?i:o,f.cmpn(0)<0&&f.iadd(t),f},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()&&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<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&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];s+=a,a=s>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e=t<0;if(0!==this.negative&&!e)return-1;if(0===this.negative&&e)return 1;this.strip();var r;if(this.length>1)r=1;else{e&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];r=i===t?0:i<t?-1:1}return 0!==this.negative?0|-r:r},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&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>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(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)>=0},a.prototype.gte=function(t){return this.cmp(t)>=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)<=0},a.prototype.lte=function(t){return this.cmp(t)<=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 y(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var A={k256:null,p224:null,p192:null,p25519:null};d.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},d.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),r=this.imulK(r),r=r.iadd(this.tmp),e=r.bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):r.strip(),r},d.prototype.split=function(t,e){t.iushrn(this.n,0,e)},d.prototype.imulK=function(t){return t.imul(this.k)},i(p,d),p.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&i,n=10;n<t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&a)<<4|i>>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},p.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<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(m,d),i(v,d),i(g,d),g.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(A[t])return A[t];var e;if(\"k256\"===t)e=new p;else if(\"p224\"===t)e=new m;else if(\"p192\"===t)e=new v;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new g}return A[t]=e,e},y.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},y.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},y.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},y.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},y.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},y.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},y.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},y.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},y.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},y.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},y.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},y.prototype.isqr=function(t){return this.imul(t,t.clone())},y.prototype.sqr=function(t){return this.mul(t,t)},y.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()&&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 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e=t.clone();return e.red=null,e},a.mont=function(t){return new b(t)},i(b,y),b.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},b.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},b.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},b.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),o=i;return i.cmp(this.m)>=0?o=i.isub(this.m):i.cmpn(0)<0&&(o=i.iadd(this.m)),o._forceRed(this)},b.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(void 0===e||e,this)},{}],69:[function(t,e,r){\"use 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r=\"abcdef\".split(\"\").concat(e),n=[];return t.indexOf(\"lo\")>=0&&n.push(\"lo=e[k+n]\"),t.indexOf(\"hi\")>=0&&n.push(\"hi=e[k+o]\"),r.push(i.replace(\"_\",n.join()).replace(\"$\",t)),Function.apply(void 0,r)}e.exports=n;var i=\"for(var j=2*a,k=j*c,l=k,m=c,n=b,o=a+b,p=c;d>p;++p,k+=j){var _;if($)if(m===p)m+=1,l+=j;else{for(var s=0;j>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\"},{}],75:[function(t,e,r){\"use strict\";function n(t,e){e<=4*f?i(0,e-1,t):h(0,e-1,t)}function i(t,e,r){for(var n=2*(t+1),i=t+1;i<=e;++i){for(var a=r[n++],o=r[n++],s=i,l=n-2;s-- >t;){var u=r[l-2],c=r[l-1];if(u<a)break;if(u===a&&c<o)break;r[l]=u,r[l+1]=c,l-=2}r[l]=a,r[l+1]=o}}function a(t,e,r){t*=2,e*=2;var n=r[t],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){t*=2,e*=2,r[t]=r[e],r[t+1]=r[e+1]}function s(t,e,r,n){t*=2,e*=2,r*=2;var i=n[t],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 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c=t(\"./convert\"),h=t(\"./transform\"),f=t(\"./clip\"),d=t(\"./wrap\"),p=t(\"./tile\");i.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,solidChildren:!1,tolerance:3,extent:4096,buffer:64,debug:0},i.prototype.splitTile=function(t,e,r,n,i,l,c){for(var h=[t,e,r,n],d=this.options,m=d.debug,v=null;h.length;){n=h.pop(),r=h.pop(),e=h.pop(),t=h.pop();var g=1<<e,y=a(e,r,n),b=this.tiles[y],x=e===d.maxZoom?0:d.tolerance/(g*d.extent);if(!b&&(m>1&&console.time(\"creation\"),b=this.tiles[y]=p(t,g,r,n,x,e===d.maxZoom),this.tileCoords.push({z:e,x:r,y:n}),m)){m>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,b.numFeatures,b.numPoints,b.numSimplified),console.timeEnd(\"creation\"));var _=\"z\"+e;this.stats[_]=(this.stats[_]||0)+1,this.total++}if(b.source=t,i){if(e===d.maxZoom||e===i)continue;var w=1<<i-e;if(r!==Math.floor(l/w)||n!==Math.floor(c/w))continue}else 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s={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z2:e,transformed:!1,min:[2,1],max:[-1,0]},l=0;l<t.length;l++){s.numFeatures++,i(s,t[l],a,o);var u=t[l].min,c=t[l].max;u[0]<s.min[0]&&(s.min[0]=u[0]),u[1]<s.min[1]&&(s.min[1]=u[1]),c[0]>s.max[0]&&(s.max[0]=c[0]),c[1]>s.max[1]&&(s.max[1]=c[1])}return s}function i(t,e,r,n){var i,o,s,l,u=e.geometry,c=e.type,h=[],f=r*r;if(1===c)for(i=0;i<u.length;i++)h.push(u[i]),t.numPoints++,t.numSimplified++;else for(i=0;i<u.length;i++)if(s=u[i],n||!(2===c&&s.dist<r||3===c&&s.area<f)){var d=[];for(o=0;o<s.length;o++)l=s[o],(n||l[2]>f)&&(d.push(l),t.numSimplified++),t.numPoints++;3===c&&a(d,s.outer),h.push(d)}else t.numPoints+=s.length;if(h.length){var p={geometry:h,type:c,tags:e.tags||null};null!==e.id&&(p.id=e.id),t.features.push(p)}}function a(t,e){o(t)<0===e&&t.reverse()}function o(t){for(var e,r,n=0,i=0,a=t.length,o=a-1;i<a;o=i++)e=t[i],r=t[o],n+=(r[0]-e[0])*(e[1]+r[1]);return n}e.exports=n},{}],145:[function(t,e,r){\"use 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m=a(\"labels\");a(\"labelFont\")&&(m=!0),i(\"labelEnable\"),n(\"labelSize\"),n(\"labelPad\"),o(\"labelColor\"),i(\"lineEnable\"),i(\"lineMirror\"),n(\"lineWidth\"),o(\"lineColor\"),i(\"lineTickEnable\"),i(\"lineTickMirror\"),n(\"lineTickLength\"),n(\"lineTickWidth\"),o(\"lineTickColor\"),i(\"gridEnable\"),n(\"gridWidth\"),o(\"gridColor\"),i(\"zeroEnable\"),o(\"zeroLineColor\"),n(\"zeroLineWidth\"),i(\"backgroundEnable\"),o(\"backgroundColor\"),this._text?this._text&&(m||s)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=l(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&s&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=u(this.gl,this.bounds,this.ticks))};var m=[new a,new a,new a],v=[0,0,0],g={model:d,view:d,projection:d};p.isOpaque=function(){return!0},p.isTransparent=function(){return!1},p.drawTransparent=function(t){};var 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k=0;k<3;++k){this.lineEnable[k]&&this._lines.drawAxisLine(k,this.bounds,A[k].primalOffset,this.lineColor[k],this.lineWidth[k]*this.pixelRatio),this.lineMirror[k]&&this._lines.drawAxisLine(k,this.bounds,A[k].mirrorOffset,this.lineColor[k],this.lineWidth[k]*this.pixelRatio);for(var I=n(y,A[k].primalMinor),z=n(b,A[k].mirrorMinor),D=this.lineTickLength,E=0;E<3;++E){var P=M/r[5*E];I[E]*=D[E]*P,z[E]*=D[E]*P}this.lineTickEnable[k]&&this._lines.drawAxisTicks(k,A[k].primalOffset,I,this.lineTickColor[k],this.lineTickWidth[k]*this.pixelRatio),this.lineTickMirror[k]&&this._lines.drawAxisTicks(k,A[k].mirrorOffset,z,this.lineTickColor[k],this.lineTickWidth[k]*this.pixelRatio)}this._text.bind(r,i,a,this.pixelRatio);for(var k=0;k<3;++k){for(var O=A[k].primalMinor,R=n(x,A[k].primalOffset),E=0;E<3;++E)this.lineTickEnable[k]&&(R[E]+=M*O[E]*Math.max(this.lineTickLength[E],0)/r[5*E]);if(this.tickEnable[k]){for(var E=0;E<3;++E)R[E]+=M*O[E]*this.tickPad[E]/r[5*E];this._text.drawTicks(k,this.tickSize[k],this.tickAngle[k],R,this.tickColor[k])}if(this.labelEnable[k]){for(var E=0;E<3;++E)R[E]+=M*O[E]*this.labelPad[E]/r[5*E];R[k]+=.5*(s[0][k]+s[1][k]),this._text.drawLabel(k,this.labelSize[k],this.labelAngle[k],R,this.labelColor[k])}}},p.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":149,\"./lib/cube.js\":150,\"./lib/lines.js\":151,\"./lib/text.js\":153,\"./lib/ticks.js\":154}],149:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}function i(t){for(var e=[],r=[],i=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,h=[0,0,0],f=[0,0,0],d=-1;d<=1;d+=2){r.push(i,i+2,i+1,i+1,i+2,i+3),h[l]=d,f[l]=d;for(var p=-1;p<=1;p+=2){h[u]=p;for(var m=-1;m<=1;m+=2)h[c]=m,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),i+=1}var v=u;u=c,c=v}var g=a(t,new 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o=n(c);o[t]=1,this.shader.uniforms.majorAxis=o,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=i,this.shader.uniforms.lineWidth=a;var s=n(f);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},m.drawGrid=function(t,e,r,a,o,s){if(this.gridCount[t]){var l=n(h);l[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=l;var u=i(d,a);u[e]+=r[0][e],this.shader.uniforms.offset=u;var p=n(c);p[t]=1,this.shader.uniforms.majorAxis=p;var m=n(f);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=s,this.shader.uniforms.color=o,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},m.drawZero=function(t,e,r,a,o,s){var l=n(h);this.shader.uniforms.majorAxis=l,l[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=l;var u=i(d,a);u[t]+=r[0][t],this.shader.uniforms.offset=u;var 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- pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\",\"precision mediump float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\",null,[{name:\"position\",type:\"vec3\"}])};r.text=function(t){return n(t,\"#define GLSLIFY 1\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvoid main() {  \\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n  mat2 planeXform = scale * mat2(cos(angle), sin(angle),\\n                                -sin(angle), cos(angle));\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n  vec4 worldPosition = model * vec4(dataPosition, 1);\\n  \\n  //Compute clip position\\n  vec4 viewPosition = view * worldPosition;\\n  vec4 clipPosition = projection * viewPosition;\\n  clipPosition /= clipPosition.w;\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec4(viewOffset, 0, 0);\\n\\n  //Done\\n  gl_Position = clipPosition;\\n}\",\"precision mediump float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\",null,[{name:\"position\",type:\"vec3\"}])};r.bg=function(t){return n(t,\"#define GLSLIFY 1\\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  if(dot(normal, enable) > 0.0) {\\n    vec3 nPosition = mix(bounds[0], bounds[1], 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  colorChannel = abs(normal);\\n}\",\"precision mediump float;\\n#define 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p=[0,0,0];f.drawTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=p;a[0]=a[1]=a[2]=0,a[t]=1,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.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}};var m=[0,0,0];f.drawLabel=function(t,e,r,n,i){this.labelCount[t]&&(this.shader.uniforms.axis=m,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this,t(\"_process\"))},{\"./shaders\":152,_process:487,\"gl-buffer\":156,\"gl-vao\":271,\"vectorize-text\":554}],154:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=\"\"+l;if(o<0&&(c=\"-\"+c),i){for(var h=\"\"+u;h.length<i;)h=\"0\"+h;return c+\".\"+h}return c}function i(t,e){for(var r=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:n(e[i],o)});for(var o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r}function a(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<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}r.create=i,r.equal=a},{}],155:[function(t,e,r){\"use strict\";function n(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}function i(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=p,s=m,l=0;l<3;++l)s[l]=o[l]=r[l];s[3]=o[3]=1,s[a]+=1,h(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,h(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,c=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+c*c)}return t}function a(t,e,r,n,a){var h=e.model||f,p=e.view||f,m=e.projection||f,y=t.bounds,a=a||l(h,p,m,y),b=a.axis;a.edges;u(d,p,h),u(d,m,d);for(var x=v,_=0;_<3;++_)x[_].lo=1/0,x[_].hi=-1/0,x[_].pixelsPerDataUnit=1/0;var w=o(c(d,d));c(d,d);for(var M=0;M<3;++M){var k=(M+1)%3,A=(M+2)%3,T=g;t:for(var _=0;_<2;++_){var S=[];if(b[M]<0!=!!_){T[M]=y[_][M];for(var E=0;E<2;++E){T[k]=y[E^_][k];for(var L=0;L<2;++L)T[A]=y[L^E^_][A],S.push(T.slice())}for(var E=0;E<w.length;++E){if(0===S.length)continue t;S=s.positive(S,w[E])}for(var E=0;E<S.length;++E)for(var A=S[E],C=i(g,d,A,r,n),L=0;L<3;++L)x[L].lo=Math.min(x[L].lo,A[L]),x[L].hi=Math.max(x[L].hi,A[L]),L!==M&&(x[L].pixelsPerDataUnit=Math.min(x[L].pixelsPerDataUnit,Math.abs(C[L])))}}}return x}e.exports=a;var o=t(\"extract-frustum-planes\"),s=t(\"split-polygon\"),l=t(\"./lib/cube.js\"),u=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/transpose\"),h=t(\"gl-vec4/transformMat4\"),f=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),d=new Float32Array(16),p=[0,0,0,1],m=[0,0,0,1],v=[new n(1/0,-1/0,1/0),new n(1/0,-1/0,1/0),new n(1/0,-1/0,1/0)],g=[0,0,0]},{\"./lib/cube.js\":150,\"extract-frustum-planes\":130,\"gl-mat4/multiply\":183,\"gl-mat4/transpose\":191,\"gl-vec4/transformMat4\":277,\"split-polygon\":526}],156:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}function i(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function a(t,e){for(var r=l.malloc(t.length,e),n=t.length,i=0;i<n;++i)r[i]=t[i];return r}function o(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}function s(t,e,r,i){if(r=r||t.ARRAY_BUFFER,i=i||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(i!==t.DYNAMIC_DRAW&&i!==t.STATIC_DRAW&&i!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var a=t.createBuffer(),o=new n(t,r,a,0,i);return o.update(e),o}var l=t(\"typedarray-pool\"),u=t(\"ndarray-ops\"),c=t(\"ndarray\"),h=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"],f=n.prototype;f.bind=function(){this.gl.bindBuffer(this.type,this.handle)},f.unbind=function(){this.gl.bindBuffer(this.type,null)},f.dispose=function(){this.gl.deleteBuffer(this.handle)},f.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 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n=t(\"./1.0/numbers\");e.exports=function(t){return n[t]}},{\"./1.0/numbers\":157}],159:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.plot=t,this.shader=e,this.bufferHi=r,this.bufferLo=n,this.bounds=[1/0,1/0,-1/0,-1/0],this.numPoints=0,this.color=[0,0,0,1]}function i(t,e){var r=a(t.gl,l.vertex,l.fragment),i=o(t.gl),s=o(t.gl),u=new n(t,r,i,s);return u.update(e),t.addObject(u),u}var a=t(\"gl-shader\"),o=t(\"gl-buffer\"),s=t(\"typedarray-pool\"),l=t(\"./lib/shaders\");e.exports=i;var u=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]],c=n.prototype;c.draw=function(){var t=new Float32Array([0,0]),e=new Float32Array([0,0]),r=new Float32Array([0,0]),n=new Float32Array([0,0]),i=[1,1];return function(){var a=this.plot,o=this.shader,s=this.bounds,l=this.numPoints;if(l){var c=a.gl,h=a.dataBox,f=a.viewBox,d=a.pixelRatio,p=s[2]-s[0],m=s[3]-s[1],v=h[2]-h[0],g=h[3]-h[1],y=2*p/v,b=2*m/g,x=(s[0]-h[0]-.5*v)/p,_=(s[1]-h[1]-.5*g)/m;t[0]=y,t[1]=b,e[0]=y-t[0],e[1]=b-t[1],r[0]=x,r[1]=_,n[0]=x-r[0],n[1]=_-r[1];var w=f[2]-f[0],M=f[3]-f[1];i[0]=2*d/w,i[1]=2*d/M,o.bind(),o.uniforms.scaleHi=t,o.uniforms.scaleLo=e,o.uniforms.translateHi=r,o.uniforms.translateLo=n,o.uniforms.pixelScale=i,o.uniforms.color=this.color,this.bufferLo.bind(),o.attributes.positionLo.pointer(c.FLOAT,!1,16,0),this.bufferHi.bind(),o.attributes.positionHi.pointer(c.FLOAT,!1,16,0),o.attributes.pixelOffset.pointer(c.FLOAT,!1,16,8),c.drawArrays(c.TRIANGLES,0,l*u.length)}}}(),c.drawPick=function(t){return t},c.pick=function(){return null},c.update=function(t){t=t||{};var e,r,n,i=t.positions||[],a=t.errors||[],o=1;\"lineWidth\"in t&&(o=+t.lineWidth);var l=5;\"capSize\"in t&&(l=+t.capSize),this.color=(t.color||[0,0,0,1]).slice();var c=this.bounds=[1/0,1/0,-1/0,-1/0],h=this.numPoints=i.length>>1;for(e=0;e<h;++e)r=i[2*e],n=i[2*e+1],c[0]=Math.min(r,c[0]),c[1]=Math.min(n,c[1]),c[2]=Math.max(r,c[2]),c[3]=Math.max(n,c[3]);c[2]===c[0]&&(c[2]+=1),c[3]===c[1]&&(c[3]+=1);var f=1/(c[2]-c[0]),d=1/(c[3]-c[1]),p=c[0],m=c[1],v=s.mallocFloat64(h*u.length*4),g=s.mallocFloat32(h*u.length*4),y=s.mallocFloat32(h*u.length*4),b=0;for(e=0;e<h;++e){r=i[2*e],n=i[2*e+1];for(var x=a[4*e],_=a[4*e+1],w=a[4*e+2],M=a[4*e+3],k=0;k<u.length;++k){var A=u[k],T=A[0],S=A[1];T<0?T*=x:T>0&&(T*=_),S<0?S*=w:S>0&&(S*=M),v[b++]=f*(r-p+T),v[b++]=d*(n-m+S),v[b++]=o*A[2]+(l+o)*A[4],v[b++]=o*A[3]+(l+o)*A[5]}}for(e=0;e<v.length;e++)g[e]=v[e],y[e]=v[e]-g[e];this.bufferHi.update(g),this.bufferLo.update(y),s.free(v)},c.dispose=function(){this.plot.removeObject(this),this.shader.dispose(),this.bufferHi.dispose(),this.bufferLo.dispose()}},{\"./lib/shaders\":160,\"gl-buffer\":156,\"gl-shader\":255,\"typedarray-pool\":541}],160:[function(t,e,r){e.exports={\n",
       "vertex:\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 positionHi;\\nattribute vec2 positionLo;\\nattribute vec2 pixelOffset;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo, pixelScale;\\n\\nvec2 project(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\nvoid main() {\\n  vec3 scrPosition = vec3(\\n         project(scaleHi, translateHi, scaleLo, translateLo, positionHi, positionLo),\\n         1);\\n  gl_Position = vec4(\\n    scrPosition.xy + scrPosition.z * pixelScale * pixelOffset,\\n    0,\\n    scrPosition.z);\\n}\\n\",fragment:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = vec4(color.rgb * color.a, color.a);\\n}\\n\"}},{}],161:[function(t,e,r){\"use strict\";function n(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}function i(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}function a(t,e,r,n){for(var i=f[n],a=0;a<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}function o(t){var e=t.gl,r=s(e),i=l(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}]),a=u(e);a.attributes.position.location=0,a.attributes.color.location=1,a.attributes.offset.location=2;var o=new n(e,r,i,a);return o.update(t),o}e.exports=o;var s=t(\"gl-buffer\"),l=t(\"gl-vao\"),u=t(\"./shaders/index\"),c=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],h=n.prototype;h.isOpaque=function(){return this.opacity>=1},h.isTransparent=function(){return this.opacity<1},h.drawTransparent=h.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||c,i=r.projection=t.projection||c;r.model=t.model||c,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],o=n[13],s=n[14],l=n[15],u=this.pixelRatio*(i[3]*a+i[7]*o+i[11]*s+i[15]*l)/e.drawingBufferHeight;this.vao.bind();for(var h=0;h<3;++h)e.lineWidth(this.lineWidth[h]),r.capSize=this.capSize[h]*u,this.lineCount[h]&&e.drawArrays(e.LINES,this.lineOffset[h],this.lineCount[h]);this.vao.unbind()};var f=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=(n+e)%3,o=[0,0,0];o[a]=i,r.push(o)}t[e]=r}return t}();h.update=function(t){t=t||{},\"lineWidth\"in t&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),\"capSize\"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),\"opacity\"in t&&(this.opacity=t.opacity);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&&n){var o=[],s=r.length,l=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var u=0;u<3;++u){this.lineOffset[u]=l;t:for(var c=0;c<s;++c){for(var h=r[c],f=0;f<3;++f)if(isNaN(h[f])||!isFinite(h[f]))continue t;var d=n[c],p=e[u];if(Array.isArray(p[0])&&(p=e[c]),3===p.length&&(p=[p[0],p[1],p[2],1]),!isNaN(d[0][u])&&!isNaN(d[1][u])){if(d[0][u]<0){var m=h.slice();m[u]+=d[0][u],o.push(h[0],h[1],h[2],p[0],p[1],p[2],p[3],0,0,0,m[0],m[1],m[2],p[0],p[1],p[2],p[3],0,0,0),i(this.bounds,m),l+=2+a(o,m,p,u)}if(d[1][u]>0){var m=h.slice();m[u]+=d[1][u],o.push(h[0],h[1],h[2],p[0],p[1],p[2],p[3],0,0,0,m[0],m[1],m[2],p[0],p[1],p[2],p[3],0,0,0),i(this.bounds,m),l+=2+a(o,m,p,u)}}}this.lineCount[u]=l-this.lineOffset[u]}this.buffer.update(o)}},h.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{\"./shaders/index\":163,\"gl-buffer\":156,\"gl-vao\":271}],162:[function(t,e,r){e.exports=function(t){\"string\"==typeof t&&(t=[t]);for(var e=[].slice.call(arguments,1),r=[],n=0;n<t.length-1;n++)r.push(t[n],e[n]||\"\");return r.push(t[n]),r.join(\"\")}},{}],163:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision mediump 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}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if(any(lessThan(fragPosition, clipBounds[0])) || any(greaterThan(fragPosition, clipBounds[1]))) {\\n    discard;\\n  }\\n  gl_FragColor = opacity * fragColor;\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},{\"gl-shader\":255,glslify:162}],164:[function(t,e,r){\"use strict\";function n(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function i(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function a(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);y=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(var a=n;a<r;++a)i[a]=t.NONE;y[n]=i}}function o(t){switch(t){case p:throw new Error(\"gl-fbo: Framebuffer unsupported\");case m:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case v:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case g:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function s(t,e,r,n,i,a){if(!n)return null;var o=d(t,e,r,i,n);return o.magFilter=t.NEAREST,o.minFilter=t.NEAREST,o.mipSamples=1,o.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,a,t.TEXTURE_2D,o.handle,0),o}function l(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 u(t){var e=n(t.gl),r=t.gl,a=t.handle=r.createFramebuffer(),u=t._shape[0],c=t._shape[1],h=t.color.length,f=t._ext,d=t._useStencil,p=t._useDepth,m=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,a);for(var v=0;v<h;++v)t.color[v]=s(r,u,c,m,r.RGBA,r.COLOR_ATTACHMENT0+v);0===h?(t._color_rb=l(r,u,c,r.RGBA4,r.COLOR_ATTACHMENT0),f&&f.drawBuffersWEBGL(y[0])):h>1&&f.drawBuffersWEBGL(y[h]);var g=r.getExtension(\"WEBGL_depth_texture\");g?d?t.depth=s(r,u,c,g.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):p&&(t.depth=s(r,u,c,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):p&&d?t._depth_rb=l(r,u,c,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):p?t._depth_rb=l(r,u,c,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=l(r,u,c,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var b=r.checkFramebufferStatus(r.FRAMEBUFFER);if(b!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(var v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),i(r,e),o(b)}i(r,e)}function c(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 l=0;l<i;++l)this.color[l]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var c=this,h=[0|e,0|r];Object.defineProperties(h,{0:{get:function(){return c._shape[0]},set:function(t){return c.width=t}},1:{get:function(){return c._shape[1]},set:function(t){return c.height=t}}}),this._shapeVector=h,u(this)}function h(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var a=t.gl,s=a.getParameter(a.MAX_RENDERBUFFER_SIZE);if(e<0||e>s||r<0||r>s)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var l=n(a),u=0;u<t.color.length;++u)t.color[u].shape=t._shape;t._color_rb&&(a.bindRenderbuffer(a.RENDERBUFFER,t._color_rb),a.renderbufferStorage(a.RENDERBUFFER,a.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(a.bindRenderbuffer(a.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?a.renderbufferStorage(a.RENDERBUFFER,a.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?a.renderbufferStorage(a.RENDERBUFFER,a.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&a.renderbufferStorage(a.RENDERBUFFER,a.STENCIL_INDEX,t._shape[0],t._shape[1])),a.bindFramebuffer(a.FRAMEBUFFER,t.handle);var c=a.checkFramebufferStatus(a.FRAMEBUFFER);c!==a.FRAMEBUFFER_COMPLETE&&(t.dispose(),i(a,l),o(c)),i(a,l)}}function f(t,e,r,n){p||(p=t.FRAMEBUFFER_UNSUPPORTED,m=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,v=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,g=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var i=t.getExtension(\"WEBGL_draw_buffers\");if(!y&&i&&a(t,i),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var o=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>o||r<0||r>o)throw new Error(\"gl-fbo: Parameters are too large for FBO\");n=n||{};var s=1;if(\"color\"in n){if((s=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(s>1){if(!i)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(s>t.getParameter(i.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+s+\" draw buffers\")}}var l=t.UNSIGNED_BYTE,u=t.getExtension(\"OES_texture_float\");if(n.float&&s>0){if(!u)throw new Error(\"gl-fbo: Context does not support floating point textures\");l=t.FLOAT}else n.preferFloat&&s>0&&u&&(l=t.FLOAT);var h=!0;\"depth\"in n&&(h=!!n.depth);var f=!1;return\"stencil\"in n&&(f=!!n.stencil),new c(t,e,r,l,s,h,f,i)}var d=t(\"gl-texture2d\");e.exports=f;var p,m,v,g,y=null,b=c.prototype;Object.defineProperties(b,{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(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return h(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return t|=0,h(this,t,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,h(this,this._shape[0],t),t},enumerable:!1}}),b.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])}},b.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":267}],165:[function(t,e,r){function n(t,e,r){\"use strict\";var n=o(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===a.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var u=i(\"Error compiling %s shader %s:\\n\",l,n),c=i(\"%s%s\",u,t),h=t.split(\"\\n\"),f={},d=0;d<h.length;d++){var p=h[d];if(\"\"!==p){var m=parseInt(p.split(\":\")[2]);if(isNaN(m))throw new Error(i(\"Could not parse error: %s\",p));f[m]=p}}for(var v=s(e).split(\"\\n\"),d=0;d<v.length;d++)if(f[d+3]||f[d+2]||f[d+1]){var g=v[d];if(u+=g+\"\\n\",f[d+1]){var y=f[d+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),u+=i(\"^^^ %s\\n\\n\",y)}}return{long:u.trim(),short:c.trim()}}var i=t(\"sprintf-js\").sprintf,a=t(\"gl-constants/lookup\"),o=t(\"glsl-shader-name\"),s=t(\"add-line-numbers\");e.exports=n},{\"add-line-numbers\":40,\"gl-constants/lookup\":158,\"glsl-shader-name\":279,\"sprintf-js\":527}],166:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}function i(t,e){var r=t.gl,i=l(r,c.vertex,c.fragment),a=l(r,c.pickVertex,c.pickFragment),o=u(r),s=u(r),h=u(r),f=u(r),d=new n(t,i,a,o,s,h,f);return d.update(e),t.addObject(d),d}e.exports=i;var a=t(\"binary-search-bounds\"),o=t(\"iota-array\"),s=t(\"typedarray-pool\"),l=t(\"gl-shader\"),u=t(\"gl-buffer\"),c=t(\"./lib/shaders\"),h=n.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=function(){var t=[1,0,0,0,1,0,0,0,1];return function(){var e=this.plot,r=this.shader,n=this.bounds,i=this.numVertices;if(!(i<=0)){var a=e.gl,o=e.dataBox,s=n[2]-n[0],l=n[3]-n[1],u=o[2]-o[0],c=o[3]-o[1];t[0]=2*s/u,t[4]=2*l/c,t[6]=2*(n[0]-o[0])/u-1,t[7]=2*(n[1]-o[1])/c-1,r.bind();var h=r.uniforms;h.viewTransform=t,h.shape=this.shape;var f=r.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(a.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(a.UNSIGNED_BYTE,!0),a.drawArrays(a.TRIANGLES,0,i)}}}(),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*u/h,t[4]=2*c/f,t[6]=2*(a[0]-l[0])/h-1,t[7]=2*(a[1]-l[1])/f-1;for(var d=0;d<4;++d)e[d]=r>>8*d&255;this.pickOffset=r,i.bind();var p=i.uniforms;p.viewTransform=t,p.pickOffset=e,p.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},h.update=function(t){t=t||{};var e=t.shape||[0,0],r=t.x||o(e[0]),n=t.y||o(e[1]),i=t.z||new Float32Array(e[0]*e[1]);this.xData=r,this.yData=n;var l=t.colorLevels||[0],u=t.colorValues||[0,0,0,1],c=l.length,h=this.bounds,d=h[0]=r[0],p=h[1]=n[0],m=h[2]=r[r.length-1],v=h[3]=n[n.length-1],g=1/(m-d),y=1/(v-p),b=e[0],x=e[1];this.shape=[b,x];var _=(b-1)*(x-1)*(f.length>>>1);this.numVertices=_;for(var w=s.mallocUint8(4*_),M=s.mallocFloat32(2*_),k=s.mallocUint8(2*_),A=s.mallocUint32(_),T=0,S=0;S<x-1;++S)for(var E=y*(n[S]-p),L=y*(n[S+1]-p),C=0;C<b-1;++C)for(var I=g*(r[C]-d),z=g*(r[C+1]-d),D=0;D<f.length;D+=2){var P,O,R,F,j=f[D],N=f[D+1],B=(S+N)*b+(C+j),U=i[B],V=a.le(l,U);if(V<0)P=u[0],O=u[1],R=u[2],F=u[3];else if(V===c-1)P=u[4*c-4],O=u[4*c-3],R=u[4*c-2],F=u[4*c-1];else{var H=(U-l[V])/(l[V+1]-l[V]),q=1-H,G=4*V,Y=4*(V+1);P=q*u[G]+H*u[Y],O=q*u[G+1]+H*u[Y+1],R=q*u[G+2]+H*u[Y+2],F=q*u[G+3]+H*u[Y+3]}w[4*T]=255*P,w[4*T+1]=255*O,w[4*T+2]=255*R,w[4*T+3]=255*F,M[2*T]=.5*I+.5*z,M[2*T+1]=.5*E+.5*L,k[2*T]=j,k[2*T+1]=N,A[T]=S*b+C,T+=1}this.positionBuffer.update(M),this.weightBuffer.update(k),this.colorBuffer.update(w),this.idBuffer.update(A),s.free(M),s.free(w),s.free(k),s.free(A)},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":167,\"binary-search-bounds\":168,\"gl-buffer\":156,\"gl-shader\":255,\"iota-array\":293,\"typedarray-pool\":541}],167:[function(t,e,r){\"use strict\";e.exports={fragment:\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\",vertex:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\",pickFragment:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\",pickVertex:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"}},{}],168:[function(t,e,r){arguments[4][84][0].apply(r,arguments)},{dup:84}],169:[function(t,e,r){r.lineVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo, dHi, dLo;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo, screenShape;\\nuniform float width;\\n\\nvarying vec2 direction;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvec2 project_2_1(vec2 scHi, vec2 scLo, vec2 posHi, vec2 posLo) {\\n  return scHi * posHi\\n       + scLo * posHi\\n       + scHi * posLo\\n       + scLo * posLo;\\n}\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  vec2 dir = project_2_1(scaleHi, scaleLo, dHi, dLo);\\n  vec2 n = 0.5 * width * normalize(screenShape.yx * vec2(dir.y, -dir.x)) / screenShape.xy;\\n  vec2 tangent = normalize(screenShape.xy * dir);\\n  if(dir.x < 0.0 || (dir.x == 0.0 && dir.y < 0.0)) {\\n    direction = -tangent;\\n  } else {\\n    direction = tangent;\\n  }\\n  gl_Position = vec4(p + n, 0.0, 1.0);\\n}\",r.lineFragment=\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nuniform vec2 screenShape;\\nuniform sampler2D dashPattern;\\nuniform float dashLength;\\n\\nvarying vec2 direction;\\n\\nvoid main() {\\n  float t = fract(dot(direction, gl_FragCoord.xy) / dashLength);\\n  vec4 pcolor = color * texture2D(dashPattern, vec2(t, 0.0)).r;\\n  gl_FragColor = vec4(pcolor.rgb * pcolor.a, pcolor.a);\\n}\",r.mitreVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo;\\nuniform float radius;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  gl_Position = vec4(p, 0.0, 1.0);\\n  gl_PointSize = radius;\\n}\",r.mitreFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  if(length(gl_PointCoord.xy - 0.5) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = vec4(color.rgb, color.a);\\n}\",r.pickVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo, dHi;\\nattribute vec4 pick0, pick1;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo, screenShape;\\nuniform float width;\\n\\nvarying vec4 pickA, pickB;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  vec2 n = width * normalize(screenShape.yx * vec2(dHi.y, -dHi.x)) / screenShape.xy;\\n  gl_Position = vec4(p + n, 0, 1);\\n  pickA = pick0;\\n  pickB = pick1;\\n}\",r.pickFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 pickOffset;\\n\\nvarying vec4 pickA, pickB;\\n\\nvoid main() {\\n  vec4 fragId = vec4(pickA.xyz, 0.0);\\n  if(pickB.w > pickA.w) {\\n    fragId.xyz = pickB.xyz;\\n  }\\n\\n  fragId += pickOffset;\\n\\n  fragId.y += floor(fragId.x / 256.0);\\n  fragId.x -= floor(fragId.x / 256.0) * 256.0;\\n\\n  fragId.z += floor(fragId.y / 256.0);\\n  fragId.y -= floor(fragId.y / 256.0) * 256.0;\\n\\n  fragId.w += floor(fragId.z / 256.0);\\n  fragId.z -= floor(fragId.z / 256.0) * 256.0;\\n\\n  gl_FragColor = fragId / 255.0;\\n}\",r.fillVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo, dHi;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo, projectAxis;\\nuniform float projectValue, depth;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  if(dHi.y < 0.0 || (dHi.y == 0.0 && dHi.x < 0.0)) {\\n    if(dot(p, projectAxis) < projectValue) {\\n      p = p * (1.0 - abs(projectAxis)) + projectAxis * projectValue;\\n    }\\n  }\\n  gl_Position = vec4(p, depth, 1);\\n}\",r.fillFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = vec4(color.rgb * color.a, color.a);\\n}\"},{}],170:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l){this.plot=t,this.dashPattern=e,this.lineBufferHi=r,this.lineBufferLo=n,this.pickBuffer=i,this.lineShader=a,this.mitreShader=o,this.fillShader=s,this.pickShader=l,this.usingDashes=!1,this.bounds=[1/0,1/0,-1/0,-1/0],this.width=1,this.color=[0,0,1,1],this.fill=[!1,!1,!1,!1],this.fillColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.data=null,this.numPoints=0,this.vertCount=0,this.pickOffset=0}function i(t){return t.map(function(t){return t.slice()})}function a(t,e){var r=t.gl,i=s(r),a=s(r),u=s(r),c=l(r,[1,1]),f=o(r,h.lineVertex,h.lineFragment),d=o(r,h.mitreVertex,h.mitreFragment),p=o(r,h.fillVertex,h.fillFragment),m=o(r,h.pickVertex,h.pickFragment),v=new n(t,c,i,a,u,f,d,p,m);return t.addObject(v),v.update(e),v}e.exports=a;var o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"gl-texture2d\"),u=t(\"ndarray\"),c=t(\"typedarray-pool\"),h=t(\"./lib/shaders\"),f=n.prototype;f.setProjectionModel=function(){var t={scaleHi:new Float32Array([0,0]),scaleLo:new Float32Array([0,0]),translateHi:new Float32Array([0,0]),translateLo:new Float32Array([0,0]),screenShape:[0,0]};return function(){var e=this.bounds,r=this.plot.viewBox,n=this.plot.dataBox,i=e[2]-e[0],a=e[3]-e[1],o=n[2]-n[0],s=n[3]-n[1],l=r[2]-r[0],u=r[3]-r[1],c=2*i/o,h=2*a/s,f=(e[0]-n[0]-.5*o)/i,d=(e[1]-n[1]-.5*s)/a;return t.scaleHi[0]=c,t.scaleHi[1]=h,t.scaleLo[0]=c-t.scaleHi[0],t.scaleLo[1]=h-t.scaleHi[1],t.translateHi[0]=f,t.translateHi[1]=d,t.translateLo[0]=f-t.translateHi[0],t.translateLo[1]=d-t.translateHi[1],t.screenShape[0]=l,t.screenShape[1]=u,t}}(),f.setProjectionUniforms=function(t,e){t.scaleHi=e.scaleHi,t.scaleLo=e.scaleLo,t.translateHi=e.translateHi,t.translateLo=e.translateLo,t.screenShape=e.screenShape},f.draw=function(){var t=[1,0],e=[-1,0],r=[0,1],n=[0,-1];return function(){var i=this.vertCount;if(i){var a=this.setProjectionModel(),o=this.plot,s=this.width,l=o.gl,u=o.pixelRatio,c=this.color,h=this.fillShader.attributes;this.lineBufferLo.bind(),h.aLo.pointer(l.FLOAT,!1,16,0),this.lineBufferHi.bind();var f=this.fill;if(f[0]||f[1]||f[2]||f[3]){var d=this.fillShader;d.bind();var p=d.uniforms;this.setProjectionUniforms(p,a),p.depth=o.nextDepthValue(),h.aHi.pointer(l.FLOAT,!1,16,0),h.dHi.pointer(l.FLOAT,!1,16,8),l.depthMask(!0),l.enable(l.DEPTH_TEST);var m=this.fillColor;f[0]&&(p.color=m[0],p.projectAxis=e,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),f[1]&&(p.color=m[1],p.projectAxis=n,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),f[2]&&(p.color=m[2],p.projectAxis=t,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),f[3]&&(p.color=m[3],p.projectAxis=r,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),l.depthMask(!1),l.disable(l.DEPTH_TEST)}var v=this.lineShader;v.bind(),this.lineBufferLo.bind(),v.attributes.aLo.pointer(l.FLOAT,!1,16,0),v.attributes.dLo.pointer(l.FLOAT,!1,16,8),this.lineBufferHi.bind();var g=v.uniforms;this.setProjectionUniforms(g,a),g.color=c,g.width=s*u,g.dashPattern=this.dashPattern.bind(),g.dashLength=this.dashLength*u;var y=v.attributes;if(y.aHi.pointer(l.FLOAT,!1,16,0),y.dHi.pointer(l.FLOAT,!1,16,8),l.drawArrays(l.TRIANGLES,0,i),s>2&&!this.usingDashes){var b=this.mitreShader;this.lineBufferLo.bind(),b.attributes.aLo.pointer(l.FLOAT,!1,48,0),this.lineBufferHi.bind(),b.bind();var x=b.uniforms;this.setProjectionUniforms(x,a),x.color=c,x.radius=s*u,b.attributes.aHi.pointer(l.FLOAT,!1,48,0),l.drawArrays(l.POINTS,0,i/3|0)}}}}(),f.drawPick=function(){var t=[0,0,0,0];return function(e){var r=this.vertCount,n=this.numPoints;if(this.pickOffset=e,!r)return e+n;var i=this.setProjectionModel(),a=this.plot,o=this.width,s=a.gl,l=a.pickPixelRatio,u=this.pickShader,c=this.pickBuffer;t[0]=255&e,t[1]=e>>>8&255,t[2]=e>>>16&255,t[3]=e>>>24,u.bind();var h=u.uniforms;this.setProjectionUniforms(h,i),h.width=o*l,h.pickOffset=t;var f=u.attributes;return this.lineBufferHi.bind(),f.aHi.pointer(s.FLOAT,!1,16,0),f.dHi.pointer(s.FLOAT,!1,16,8),this.lineBufferLo.bind(),f.aLo.pointer(s.FLOAT,!1,16,0),c.bind(),f.pick0.pointer(s.UNSIGNED_BYTE,!1,8,0),f.pick1.pointer(s.UNSIGNED_BYTE,!1,8,4),s.drawArrays(s.TRIANGLES,0,r),e+n}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.numPoints;if(r<n||r>=n+i)return null;var a=r-n,o=this.data;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}},f.update=function(t){t=t||{};var e,r,n,a,o,s=this.plot.gl;this.color=(t.color||[0,0,1,1]).slice(),this.width=+(t.width||1),this.fill=(t.fill||[!1,!1,!1,!1]).slice(),this.fillColor=i(t.fillColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var h=t.dashes||[1],f=0;for(e=0;e<h.length;++e)f+=h[e];var d=c.mallocUint8(f);n=0;var p=255;for(e=0;e<h.length;++e){for(r=0;r<h[e];++r)d[n++]=p;p^=255}this.dashPattern.dispose(),this.usingDashes=h.length>1,this.dashPattern=l(s,u(d,[f,1,4],[1,0,0])),this.dashPattern.minFilter=s.NEAREST,this.dashPattern.magFilter=s.NEAREST,this.dashLength=f,c.free(d);var m=t.positions;this.data=m;var v=this.bounds;v[0]=v[1]=1/0,v[2]=v[3]=-1/0;var g=this.numPoints=m.length>>>1;if(0!==g){for(e=0;e<g;++e)a=m[2*e],o=m[2*e+1],isNaN(a)||isNaN(o)||(v[0]=Math.min(v[0],a),v[1]=Math.min(v[1],o),v[2]=Math.max(v[2],a),v[3]=Math.max(v[3],o));v[0]===v[2]&&(v[2]+=1),v[3]===v[1]&&(v[3]+=1);var y=c.mallocFloat64(24*(g-1)),b=c.mallocFloat32(24*(g-1)),x=c.mallocFloat32(24*(g-1)),_=c.mallocUint32(12*(g-1)),w=b.length,M=_.length;n=g;for(var k=0;n>1;){var A=--n;a=m[2*n],o=m[2*n+1];var T=A-1,S=m[2*T],E=m[2*T+1];if(!(isNaN(a)||isNaN(o)||isNaN(S)||isNaN(E))){k+=1,a=(a-v[0])/(v[2]-v[0]),o=(o-v[1])/(v[3]-v[1]),S=(S-v[0])/(v[2]-v[0]),E=(E-v[1])/(v[3]-v[1]);var L=S-a,C=E-o,I=A|1<<24,z=A-1,D=A,P=A-1|1<<24;y[--w]=-C,y[--w]=-L,y[--w]=o,y[--w]=a,_[--M]=I,_[--M]=z,y[--w]=C,y[--w]=L,y[--w]=E,y[--w]=S,_[--M]=D,_[--M]=P,y[--w]=-C,y[--w]=-L,y[--w]=E,y[--w]=S,_[--M]=D,_[--M]=P,y[--w]=C,y[--w]=L,y[--w]=E,y[--w]=S,_[--M]=D,_[--M]=P,y[--w]=-C,y[--w]=-L,y[--w]=o,y[--w]=a,_[--M]=I,_[--M]=z,y[--w]=C,y[--w]=L,y[--w]=o,y[--w]=a,_[--M]=I,_[--M]=z}}for(e=0;e<y.length;e++)b[e]=y[e],x[e]=y[e]-b[e];this.vertCount=6*k,this.lineBufferHi.update(b.subarray(w)),this.lineBufferLo.update(x.subarray(w)),this.pickBuffer.update(_.subarray(M)),c.free(y),c.free(b),c.free(x),c.free(_)}},f.dispose=function(){this.plot.removeObject(this),this.lineBufferLo.dispose(),this.lineBufferHi.dispose(),this.pickBuffer.dispose(),this.lineShader.dispose(),this.mitreShader.dispose(),this.fillShader.dispose(),this.pickShader.dispose(),this.dashPattern.dispose()}},{\"./lib/shaders\":169,\"gl-buffer\":156,\"gl-shader\":255,\"gl-texture2d\":267,ndarray:467,\"typedarray-pool\":541}],171:[function(t,e,r){var n=t(\"gl-shader\"),i=\"precision mediump 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\\nvoid main() {\\n  vec4 projected = projection * view * model * vec4(position, 1.0);\\n  vec4 tangentClip = projection * view * model * vec4(nextPosition - position, 0.0);\\n  vec2 tangent = normalize(screenShape * tangentClip.xy);\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(tangent.y, -tangent.x) / screenShape;\\n\\n  gl_Position = vec4(projected.xy + projected.w * offset, projected.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\",a=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return n(t,i,\"precision mediump float;\\n#define GLSLIFY 1\\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(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\\n    discard;\\n  }\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\",null,a)},r.createPickShader=function(t){return n(t,i,\"precision mediump float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\nlowp vec4 encode_float_1_0(highp float v) {\\n  highp float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -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\\n\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\\n    discard;\\n  }\\n  gl_FragColor = vec4(pickId/255.0, encode_float_1_0(pixelArcLength).xyz);\\n}\",null,a)}},{\"gl-shader\":255}],172:[function(t,e,r){\"use strict\";function n(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function i(t){\n",
       "for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<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 a(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function o(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.dirty=!0,this.pixelRatio=1}function s(t){var e=t.gl||t.scene&&t.scene.gl,r=m(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 n=v(e);n.attributes.position.location=0,n.attributes.nextPosition.location=1,n.attributes.arcLength.location=2,n.attributes.lineWidth.location=3,n.attributes.color.location=4;for(var i=l(e),a=u(e,[{buffer:i,size:3,offset:0,stride:48},{buffer:i,size:3,offset:12,stride:48},{buffer:i,size:1,offset:24,stride:48},{buffer:i,size:1,offset:28,stride:48},{buffer:i,size:4,offset:32,stride:48}]),s=d(new Array(1024),[256,1,4]),h=0;h<1024;++h)s.data[h]=255;var f=c(e,s);f.wrap=e.REPEAT;var p=new o(e,r,n,i,a,f);return p.update(t),p}e.exports=s;var l=t(\"gl-buffer\"),u=t(\"gl-vao\"),c=t(\"gl-texture2d\"),h=t(\"glsl-read-float\"),f=t(\"binary-search-bounds\"),d=t(\"ndarray\"),p=t(\"./lib/shaders\"),m=p.createShader,v=p.createPickShader,g=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],y=o.prototype;y.isTransparent=function(){return this.opacity<1},y.isOpaque=function(){return this.opacity>=1},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||g,view:t.view||g,projection:t.projection||g,clipBounds:i(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)},y.drawPick=function(t){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||g,view:t.view||g,projection:t.projection||g,pickId:this.pickId,clipBounds:i(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount)},y.update=function(t){var e,r;this.dirty=!0;var i=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),\"opacity\"in t&&(this.opacity=+t.opacity);var a=t.position||t.positions;if(a){var o=t.color||t.colors||[0,0,0,1],s=t.lineWidth||1,l=[],u=[],c=[],h=0,p=0,m=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],v=!1;t:for(e=1;e<a.length;++e){var g=a[e-1],y=a[e];for(u.push(h),c.push(g.slice()),r=0;r<3;++r){if(isNaN(g[r])||isNaN(y[r])||!isFinite(g[r])||!isFinite(y[r])){if(!i&&l.length>0){for(var b=0;b<24;++b)l.push(l[l.length-12]);p+=2,v=!0}continue t}m[0][r]=Math.min(m[0][r],g[r],y[r]),m[1][r]=Math.max(m[1][r],g[r],y[r])}var x,_;Array.isArray(o[0])?(x=o[e-1],_=o[e]):x=_=o,3===x.length&&(x=[x[0],x[1],x[2],1]),3===_.length&&(_=[_[0],_[1],_[2],1]);var w;w=Array.isArray(s)?s[e-1]:s;var 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null;if(r===this.arcLength.length-1)return new a(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)],o=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),s=1-o,l=[0,0,0],u=0;u<3;++u)l[u]=s*n[u]+o*i[u];var c=Math.min(o<.5?r:r+1,this.points.length-1);return new a(e,l,c,this.points[c])}},{\"./lib/shaders\":171,\"binary-search-bounds\":66,\"gl-buffer\":156,\"gl-texture2d\":267,\"gl-vao\":271,\"glsl-read-float\":278,ndarray:467}],173:[function(t,e,r){function n(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}e.exports=n},{}],174:[function(t,e,r){function n(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],h=c*o-s*u,f=-c*a+s*l,d=u*a-o*l,p=r*h+n*f+i*d;return p?(p=1/p,t[0]=h*p,t[1]=(-c*n+i*u)*p,t[2]=(s*n-i*o)*p,t[3]=f*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}e.exports=n},{}],175:[function(t,e,r){function n(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}e.exports=n},{}],176:[function(t,e,r){function n(){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}e.exports=n},{}],177:[function(t,e,r){function n(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],h=t[10],f=t[11],d=t[12],p=t[13],m=t[14],v=t[15];return(e*o-r*a)*(h*v-f*m)-(e*s-n*a)*(c*v-f*p)+(e*l-i*a)*(c*m-h*p)+(r*s-n*o)*(u*v-f*d)-(r*l-i*o)*(u*m-h*d)+(n*l-i*s)*(u*p-c*d)}e.exports=n},{}],178:[function(t,e,r){function n(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,h=n*s,f=i*o,d=i*s,p=i*l,m=a*o,v=a*s,g=a*l;return t[0]=1-h-p,t[1]=c+g,t[2]=f-v,t[3]=0,t[4]=c-g,t[5]=1-u-p,t[6]=d+m,t[7]=0,t[8]=f+v,t[9]=d-m,t[10]=1-u-h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}e.exports=n},{}],179:[function(t,e,r){function n(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,h=n*l,f=n*u,d=i*l,p=i*u,m=a*u,v=o*s,g=o*l,y=o*u;return t[0]=1-(d+m),t[1]=h+y,t[2]=f-g,t[3]=0,t[4]=h-y,t[5]=1-(c+m),t[6]=p+v,t[7]=0,t[8]=f+g,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}e.exports=n},{}],180:[function(t,e,r){function n(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}e.exports=n},{}],181:[function(t,e,r){function n(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],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],v=e[14],g=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,M=i*u-a*l,k=c*m-h*p,A=c*v-f*p,T=c*g-d*p,S=h*v-f*m,E=h*g-d*m,L=f*g-d*v,C=y*L-b*E+x*S+_*T-w*A+M*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*M-v*w+g*_)*C,t[3]=(f*w-h*M-d*_)*C,t[4]=(l*T-o*L-u*A)*C,t[5]=(r*L-i*T+a*A)*C,t[6]=(v*x-p*M-g*b)*C,t[7]=(c*M-f*x+d*b)*C,t[8]=(o*E-s*T+u*k)*C,t[9]=(n*T-r*E-a*k)*C,t[10]=(p*w-m*x+g*y)*C,t[11]=(h*x-c*w-d*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*b-p*_-v*y)*C,t[15]=(c*_-h*b+f*y)*C,t):null}e.exports=n},{}],182:[function(t,e,r){function n(t,e,r,n){var a,o,s,l,u,c,h,f,d,p,m=e[0],v=e[1],g=e[2],y=n[0],b=n[1],x=n[2],_=r[0],w=r[1],M=r[2];return Math.abs(m-_)<1e-6&&Math.abs(v-w)<1e-6&&Math.abs(g-M)<1e-6?i(t):(h=m-_,f=v-w,d=g-M,p=1/Math.sqrt(h*h+f*f+d*d),h*=p,f*=p,d*=p,a=b*d-x*f,o=x*h-y*d,s=y*f-b*h,p=Math.sqrt(a*a+o*o+s*s),p?(p=1/p,a*=p,o*=p,s*=p):(a=0,o=0,s=0),l=f*s-d*o,u=d*a-h*s,c=h*o-f*a,p=Math.sqrt(l*l+u*u+c*c),p?(p=1/p,l*=p,u*=p,c*=p):(l=0,u=0,c=0),t[0]=a,t[1]=l,t[2]=h,t[3]=0,t[4]=o,t[5]=u,t[6]=f,t[7]=0,t[8]=s,t[9]=c,t[10]=d,t[11]=0,t[12]=-(a*m+o*v+s*g),t[13]=-(l*m+u*v+c*g),t[14]=-(h*m+f*v+d*g),t[15]=1,t)}var i=t(\"./identity\");e.exports=n},{\"./identity\":180}],183:[function(t,e,r){function n(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],h=e[8],f=e[9],d=e[10],p=e[11],m=e[12],v=e[13],g=e[14],y=e[15],b=r[0],x=r[1],_=r[2],w=r[3];return t[0]=b*n+x*s+_*h+w*m,t[1]=b*i+x*l+_*f+w*v,t[2]=b*a+x*u+_*d+w*g,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+_*h+w*m,t[5]=b*i+x*l+_*f+w*v,t[6]=b*a+x*u+_*d+w*g,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+_*h+w*m,t[9]=b*i+x*l+_*f+w*v,t[10]=b*a+x*u+_*d+w*g,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+_*h+w*m,t[13]=b*i+x*l+_*f+w*v,t[14]=b*a+x*u+_*d+w*g,t[15]=b*o+x*c+_*p+w*y,t}e.exports=n},{}],184:[function(t,e,r){function n(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}e.exports=n},{}],185:[function(t,e,r){function n(t,e,r,n){var i,a,o,s,l,u,c,h,f,d,p,m,v,g,y,b,x,_,w,M,k,A,T,S,E=n[0],L=n[1],C=n[2],I=Math.sqrt(E*E+L*L+C*C);return Math.abs(I)<1e-6?null:(I=1/I,E*=I,L*=I,C*=I,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],u=e[2],c=e[3],h=e[4],f=e[5],d=e[6],p=e[7],m=e[8],v=e[9],g=e[10],y=e[11],b=E*E*o+a,x=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,M=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,T=L*C*o-E*i,S=C*C*o+a,t[0]=s*b+h*x+m*_,t[1]=l*b+f*x+v*_,t[2]=u*b+d*x+g*_,t[3]=c*b+p*x+y*_,t[4]=s*w+h*M+m*k,t[5]=l*w+f*M+v*k,t[6]=u*w+d*M+g*k,t[7]=c*w+p*M+y*k,t[8]=s*A+h*T+m*S,t[9]=l*A+f*T+v*S,t[10]=u*A+d*T+g*S,t[11]=c*A+p*T+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)}e.exports=n},{}],186:[function(t,e,r){function n(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],h=e[10],f=e[11];return e!==t&&(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]),t[4]=a*i+u*n,t[5]=o*i+c*n,t[6]=s*i+h*n,t[7]=l*i+f*n,t[8]=u*i-a*n,t[9]=c*i-o*n,t[10]=h*i-s*n,t[11]=f*i-l*n,t}e.exports=n},{}],187:[function(t,e,r){function n(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],h=e[10],f=e[11];return e!==t&&(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]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-h*n,t[3]=l*i-f*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+h*i,t[11]=l*n+f*i,t}e.exports=n},{}],188:[function(t,e,r){function n(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],h=e[6],f=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+h*n,t[3]=l*i+f*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=h*i-s*n,t[7]=f*i-l*n,t}e.exports=n},{}],189:[function(t,e,r){function n(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}e.exports=n},{}],190:[function(t,e,r){function n(t,e,r){var n,i,a,o,s,l,u,c,h,f,d,p,m=r[0],v=r[1],g=r[2];return e===t?(t[12]=e[0]*m+e[4]*v+e[8]*g+e[12],t[13]=e[1]*m+e[5]*v+e[9]*g+e[13],t[14]=e[2]*m+e[6]*v+e[10]*g+e[14],t[15]=e[3]*m+e[7]*v+e[11]*g+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],h=e[8],f=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]=h,t[9]=f,t[10]=d,t[11]=p,t[12]=n*m+s*v+h*g+e[12],t[13]=i*m+l*v+f*g+e[13],t[14]=a*m+u*v+d*g+e[14],t[15]=o*m+c*v+p*g+e[15]),t}e.exports=n},{}],191:[function(t,e,r){function n(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}e.exports=n},{}],192:[function(t,e,r){\"use strict\";function n(t,e){switch(e.length){case 0:break;case 1:t[0]=1/e[0];break;case 4:i(t,e);break;case 9:a(t,e);break;case 16:o(t,e);break;default:throw new Error(\"currently supports matrices up to 4x4\")}return t}e.exports=n;var i=t(\"gl-mat2/invert\"),a=t(\"gl-mat3/invert\"),o=t(\"gl-mat4/invert\")},{\"gl-mat2/invert\":173,\"gl-mat3/invert\":174,\"gl-mat4/invert\":181}],193:[function(t,e,r){r.glMatrix=t(\"./gl-matrix/common.js\"),r.mat2=t(\"./gl-matrix/mat2.js\"),r.mat2d=t(\"./gl-matrix/mat2d.js\"),r.mat3=t(\"./gl-matrix/mat3.js\"),r.mat4=t(\"./gl-matrix/mat4.js\"),r.quat=t(\"./gl-matrix/quat.js\"),r.vec2=t(\"./gl-matrix/vec2.js\"),r.vec3=t(\"./gl-matrix/vec3.js\"),r.vec4=t(\"./gl-matrix/vec4.js\")},{\"./gl-matrix/common.js\":194,\"./gl-matrix/mat2.js\":195,\"./gl-matrix/mat2d.js\":196,\"./gl-matrix/mat3.js\":197,\"./gl-matrix/mat4.js\":198,\"./gl-matrix/quat.js\":199,\"./gl-matrix/vec2.js\":200,\"./gl-matrix/vec3.js\":201,\"./gl-matrix/vec4.js\":202}],194:[function(t,e,r){var n={};n.EPSILON=1e-6,n.ARRAY_TYPE=\"undefined\"!=typeof 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t[0]=d*n+f*o,t[1]=d*i+f*s,t[2]=d*a+f*l,t[3]=d*o-f*n,t[4]=d*s-f*i,t[5]=d*l-f*a,t[6]=u,t[7]=c,t[8]=h,t},i.scale=function(t,e,r){var n=r[0],i=r[1];return t[0]=n*e[0],t[1]=n*e[1],t[2]=n*e[2],t[3]=i*e[3],t[4]=i*e[4],t[5]=i*e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t},i.fromTranslation=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=e[0],t[7]=e[1],t[8]=1,t},i.fromRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},i.fromScaling=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=e[1],t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},i.fromMat2d=function(t,e){return t[0]=e[0],t[1]=e[1],t[2]=0,t[3]=e[2],t[4]=e[3],t[5]=0,t[6]=e[4],t[7]=e[5],t[8]=1,t},i.fromQuat=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,h=n*s,f=i*o,d=i*s,p=i*l,m=a*o,v=a*s,g=a*l;return t[0]=1-h-p,t[3]=c-g,t[6]=f+v,t[1]=c+g,t[4]=1-u-p,t[7]=d-m,t[2]=f-v,t[5]=d+m,t[8]=1-u-h,t},i.normalFromMat4=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],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],v=e[14],g=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,M=i*u-a*l,k=c*m-h*p,A=c*v-f*p,T=c*g-d*p,S=h*v-f*m,E=h*g-d*m,L=f*g-d*v,C=y*L-b*E+x*S+_*T-w*A+M*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(l*T-o*L-u*A)*C,t[2]=(o*E-s*T+u*k)*C,t[3]=(i*E-n*L-a*S)*C,t[4]=(r*L-i*T+a*A)*C,t[5]=(n*T-r*E-a*k)*C,t[6]=(m*M-v*w+g*_)*C,t[7]=(v*x-p*M-g*b)*C,t[8]=(p*w-m*x+g*y)*C,t):null},i.str=function(t){return\"mat3(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\")\"},i.frob=function(t){return Math.sqrt(Math.pow(t[0],2)+Math.pow(t[1],2)+Math.pow(t[2],2)+Math.pow(t[3],2)+Math.pow(t[4],2)+Math.pow(t[5],2)+Math.pow(t[6],2)+Math.pow(t[7],2)+Math.pow(t[8],2))},i.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t[3]=e[3]+r[3],t[4]=e[4]+r[4],t[5]=e[5]+r[5],t[6]=e[6]+r[6],t[7]=e[7]+r[7],t[8]=e[8]+r[8],t},i.subtract=function(t,e,r){return t[0]=e[0]-r[0],t[1]=e[1]-r[1],t[2]=e[2]-r[2],t[3]=e[3]-r[3],t[4]=e[4]-r[4],t[5]=e[5]-r[5],t[6]=e[6]-r[6],t[7]=e[7]-r[7],t[8]=e[8]-r[8],t},i.sub=i.subtract,i.multiplyScalar=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t[3]=e[3]*r,t[4]=e[4]*r,t[5]=e[5]*r,t[6]=e[6]*r,t[7]=e[7]*r,t[8]=e[8]*r,t},i.multiplyScalarAndAdd=function(t,e,r,n){return t[0]=e[0]+r[0]*n,t[1]=e[1]+r[1]*n,t[2]=e[2]+r[2]*n,t[3]=e[3]+r[3]*n,t[4]=e[4]+r[4]*n,t[5]=e[5]+r[5]*n,t[6]=e[6]+r[6]*n,t[7]=e[7]+r[7]*n,t[8]=e[8]+r[8]*n,t},i.exactEquals=function(t,e){return t[0]===e[0]&&t[1]===e[1]&&t[2]===e[2]&&t[3]===e[3]&&t[4]===e[4]&&t[5]===e[5]&&t[6]===e[6]&&t[7]===e[7]&&t[8]===e[8]},i.equals=function(t,e){var r=t[0],i=t[1],a=t[2],o=t[3],s=t[4],l=t[5],u=t[6],c=t[7],h=t[8],f=e[0],d=e[1],p=e[2],m=e[3],v=e[4],g=e[5],y=t[6],b=e[7],x=e[8];return Math.abs(r-f)<=n.EPSILON*Math.max(1,Math.abs(r),Math.abs(f))&&Math.abs(i-d)<=n.EPSILON*Math.max(1,Math.abs(i),Math.abs(d))&&Math.abs(a-p)<=n.EPSILON*Math.max(1,Math.abs(a),Math.abs(p))&&Math.abs(o-m)<=n.EPSILON*Math.max(1,Math.abs(o),Math.abs(m))&&Math.abs(s-v)<=n.EPSILON*Math.max(1,Math.abs(s),Math.abs(v))&&Math.abs(l-g)<=n.EPSILON*Math.max(1,Math.abs(l),Math.abs(g))&&Math.abs(u-y)<=n.EPSILON*Math.max(1,Math.abs(u),Math.abs(y))&&Math.abs(c-b)<=n.EPSILON*Math.max(1,Math.abs(c),Math.abs(b))&&Math.abs(h-x)<=n.EPSILON*Math.max(1,Math.abs(h),Math.abs(x))},e.exports=i},{\"./common.js\":194}],198:[function(t,e,r){var n=t(\"./common.js\"),i={scalar:{},SIMD:{}};i.create=function(){var t=new n.ARRAY_TYPE(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},i.clone=function(t){var e=new n.ARRAY_TYPE(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},i.copy=function(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t},i.fromValues=function(t,e,r,i,a,o,s,l,u,c,h,f,d,p,m,v){var g=new n.ARRAY_TYPE(16);return g[0]=t,g[1]=e,g[2]=r,g[3]=i,g[4]=a,g[5]=o,g[6]=s,g[7]=l,g[8]=u,g[9]=c,g[10]=h,g[11]=f,g[12]=d,g[13]=p,g[14]=m,g[15]=v,g},i.set=function(t,e,r,n,i,a,o,s,l,u,c,h,f,d,p,m,v){return t[0]=e,t[1]=r,t[2]=n,t[3]=i,t[4]=a,t[5]=o,t[6]=s,t[7]=l,t[8]=u,t[9]=c,t[10]=h,t[11]=f,t[12]=d,t[13]=p,t[14]=m,t[15]=v,t},i.identity=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},i.scalar.transpose=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},i.SIMD.transpose=function(t,e){var r,n,i,a,o,s,l,u,c,h;return r=SIMD.Float32x4.load(e,0),n=SIMD.Float32x4.load(e,4),i=SIMD.Float32x4.load(e,8),a=SIMD.Float32x4.load(e,12),o=SIMD.Float32x4.shuffle(r,n,0,1,4,5),s=SIMD.Float32x4.shuffle(i,a,0,1,4,5),l=SIMD.Float32x4.shuffle(o,s,0,2,4,6),u=SIMD.Float32x4.shuffle(o,s,1,3,5,7),SIMD.Float32x4.store(t,0,l),SIMD.Float32x4.store(t,4,u),o=SIMD.Float32x4.shuffle(r,n,2,3,6,7),s=SIMD.Float32x4.shuffle(i,a,2,3,6,7),c=SIMD.Float32x4.shuffle(o,s,0,2,4,6),h=SIMD.Float32x4.shuffle(o,s,1,3,5,7),SIMD.Float32x4.store(t,8,c),SIMD.Float32x4.store(t,12,h),t},i.transpose=n.USE_SIMD?i.SIMD.transpose:i.scalar.transpose,i.scalar.invert=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],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],v=e[14],g=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,M=i*u-a*l,k=c*m-h*p,A=c*v-f*p,T=c*g-d*p,S=h*v-f*m,E=h*g-d*m,L=f*g-d*v,C=y*L-b*E+x*S+_*T-w*A+M*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*M-v*w+g*_)*C,t[3]=(f*w-h*M-d*_)*C,t[4]=(l*T-o*L-u*A)*C,t[5]=(r*L-i*T+a*A)*C,t[6]=(v*x-p*M-g*b)*C,t[7]=(c*M-f*x+d*b)*C,t[8]=(o*E-s*T+u*k)*C,t[9]=(n*T-r*E-a*k)*C,t[10]=(p*w-m*x+g*y)*C,t[11]=(h*x-c*w-d*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*b-p*_-v*y)*C,t[15]=(c*_-h*b+f*y)*C,t):null},i.SIMD.invert=function(t,e){var r,n,i,a,o,s,l,u,c,h,f=SIMD.Float32x4.load(e,0),d=SIMD.Float32x4.load(e,4),p=SIMD.Float32x4.load(e,8),m=SIMD.Float32x4.load(e,12);return o=SIMD.Float32x4.shuffle(f,d,0,1,4,5),n=SIMD.Float32x4.shuffle(p,m,0,1,4,5),r=SIMD.Float32x4.shuffle(o,n,0,2,4,6),n=SIMD.Float32x4.shuffle(n,o,1,3,5,7),o=SIMD.Float32x4.shuffle(f,d,2,3,6,7),a=SIMD.Float32x4.shuffle(p,m,2,3,6,7),i=SIMD.Float32x4.shuffle(o,a,0,2,4,6),a=SIMD.Float32x4.shuffle(a,o,1,3,5,7),o=SIMD.Float32x4.mul(i,a),o=SIMD.Float32x4.swizzle(o,1,0,3,2),s=SIMD.Float32x4.mul(n,o),l=SIMD.Float32x4.mul(r,o),o=SIMD.Float32x4.swizzle(o,2,3,0,1),s=SIMD.Float32x4.sub(SIMD.Float32x4.mul(n,o),s),l=SIMD.Float32x4.sub(SIMD.Float32x4.mul(r,o),l),l=SIMD.Float32x4.swizzle(l,2,3,0,1),o=SIMD.Float32x4.mul(n,i),o=SIMD.Float32x4.swizzle(o,1,0,3,2),s=SIMD.Float32x4.add(SIMD.Float32x4.mul(a,o),s),c=SIMD.Float32x4.mul(r,o),o=SIMD.Float32x4.swizzle(o,2,3,0,1),s=SIMD.Float32x4.sub(s,SIMD.Float32x4.mul(a,o)),c=SIMD.Float32x4.sub(SIMD.Float32x4.mul(r,o),c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),o=SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(n,2,3,0,1),a),o=SIMD.Float32x4.swizzle(o,1,0,3,2),i=SIMD.Float32x4.swizzle(i,2,3,0,1),s=SIMD.Float32x4.add(SIMD.Float32x4.mul(i,o),s),u=SIMD.Float32x4.mul(r,o),o=SIMD.Float32x4.swizzle(o,2,3,0,1),s=SIMD.Float32x4.sub(s,SIMD.Float32x4.mul(i,o)),u=SIMD.Float32x4.sub(SIMD.Float32x4.mul(r,o),u),u=SIMD.Float32x4.swizzle(u,2,3,0,1),o=SIMD.Float32x4.mul(r,n),o=SIMD.Float32x4.swizzle(o,1,0,3,2),u=SIMD.Float32x4.add(SIMD.Float32x4.mul(a,o),u),c=SIMD.Float32x4.sub(SIMD.Float32x4.mul(i,o),c),o=SIMD.Float32x4.swizzle(o,2,3,0,1),u=SIMD.Float32x4.sub(SIMD.Float32x4.mul(a,o),u),c=SIMD.Float32x4.sub(c,SIMD.Float32x4.mul(i,o)),o=SIMD.Float32x4.mul(r,a),o=SIMD.Float32x4.swizzle(o,1,0,3,2),l=SIMD.Float32x4.sub(l,SIMD.Float32x4.mul(i,o)),u=SIMD.Float32x4.add(SIMD.Float32x4.mul(n,o),u),o=SIMD.Float32x4.swizzle(o,2,3,0,1),l=SIMD.Float32x4.add(SIMD.Float32x4.mul(i,o),l),u=SIMD.Float32x4.sub(u,SIMD.Float32x4.mul(n,o)),o=SIMD.Float32x4.mul(r,i),o=SIMD.Float32x4.swizzle(o,1,0,3,2),l=SIMD.Float32x4.add(SIMD.Float32x4.mul(a,o),l),c=SIMD.Float32x4.sub(c,SIMD.Float32x4.mul(n,o)),o=SIMD.Float32x4.swizzle(o,2,3,0,1),l=SIMD.Float32x4.sub(l,SIMD.Float32x4.mul(a,o)),c=SIMD.Float32x4.add(SIMD.Float32x4.mul(n,o),c),h=SIMD.Float32x4.mul(r,s),h=SIMD.Float32x4.add(SIMD.Float32x4.swizzle(h,2,3,0,1),h),h=SIMD.Float32x4.add(SIMD.Float32x4.swizzle(h,1,0,3,2),h),o=SIMD.Float32x4.reciprocalApproximation(h),h=SIMD.Float32x4.sub(SIMD.Float32x4.add(o,o),SIMD.Float32x4.mul(h,SIMD.Float32x4.mul(o,o))),(h=SIMD.Float32x4.swizzle(h,0,0,0,0))?(SIMD.Float32x4.store(t,0,SIMD.Float32x4.mul(h,s)),SIMD.Float32x4.store(t,4,SIMD.Float32x4.mul(h,l)),SIMD.Float32x4.store(t,8,SIMD.Float32x4.mul(h,u)),SIMD.Float32x4.store(t,12,SIMD.Float32x4.mul(h,c)),t):null},i.invert=n.USE_SIMD?i.SIMD.invert:i.scalar.invert,i.scalar.adjoint=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],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],v=e[14],g=e[15];return t[0]=s*(f*g-d*v)-h*(l*g-u*v)+m*(l*d-u*f),t[1]=-(n*(f*g-d*v)-h*(i*g-a*v)+m*(i*d-a*f)),t[2]=n*(l*g-u*v)-s*(i*g-a*v)+m*(i*u-a*l),t[3]=-(n*(l*d-u*f)-s*(i*d-a*f)+h*(i*u-a*l)),t[4]=-(o*(f*g-d*v)-c*(l*g-u*v)+p*(l*d-u*f)),t[5]=r*(f*g-d*v)-c*(i*g-a*v)+p*(i*d-a*f),t[6]=-(r*(l*g-u*v)-o*(i*g-a*v)+p*(i*u-a*l)),t[7]=r*(l*d-u*f)-o*(i*d-a*f)+c*(i*u-a*l),t[8]=o*(h*g-d*m)-c*(s*g-u*m)+p*(s*d-u*h),t[9]=-(r*(h*g-d*m)-c*(n*g-a*m)+p*(n*d-a*h)),t[10]=r*(s*g-u*m)-o*(n*g-a*m)+p*(n*u-a*s),t[11]=-(r*(s*d-u*h)-o*(n*d-a*h)+c*(n*u-a*s)),t[12]=-(o*(h*v-f*m)-c*(s*v-l*m)+p*(s*f-l*h)),t[13]=r*(h*v-f*m)-c*(n*v-i*m)+p*(n*f-i*h),t[14]=-(r*(s*v-l*m)-o*(n*v-i*m)+p*(n*l-i*s)),t[15]=r*(s*f-l*h)-o*(n*f-i*h)+c*(n*l-i*s),t},i.SIMD.adjoint=function(t,e){var r,n,i,a,o,s,l,u,c,h,f,d,p,r=SIMD.Float32x4.load(e,0),n=SIMD.Float32x4.load(e,4),i=SIMD.Float32x4.load(e,8),a=SIMD.Float32x4.load(e,12)\n",
       ";return c=SIMD.Float32x4.shuffle(r,n,0,1,4,5),s=SIMD.Float32x4.shuffle(i,a,0,1,4,5),o=SIMD.Float32x4.shuffle(c,s,0,2,4,6),s=SIMD.Float32x4.shuffle(s,c,1,3,5,7),c=SIMD.Float32x4.shuffle(r,n,2,3,6,7),u=SIMD.Float32x4.shuffle(i,a,2,3,6,7),l=SIMD.Float32x4.shuffle(c,u,0,2,4,6),u=SIMD.Float32x4.shuffle(u,c,1,3,5,7),c=SIMD.Float32x4.mul(l,u),c=SIMD.Float32x4.swizzle(c,1,0,3,2),h=SIMD.Float32x4.mul(s,c),f=SIMD.Float32x4.mul(o,c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),h=SIMD.Float32x4.sub(SIMD.Float32x4.mul(s,c),h),f=SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,c),f),f=SIMD.Float32x4.swizzle(f,2,3,0,1),c=SIMD.Float32x4.mul(s,l),c=SIMD.Float32x4.swizzle(c,1,0,3,2),h=SIMD.Float32x4.add(SIMD.Float32x4.mul(u,c),h),p=SIMD.Float32x4.mul(o,c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),h=SIMD.Float32x4.sub(h,SIMD.Float32x4.mul(u,c)),p=SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,c),p),p=SIMD.Float32x4.swizzle(p,2,3,0,1),c=SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,2,3,0,1),u),c=SIMD.Float32x4.swizzle(c,1,0,3,2),l=SIMD.Float32x4.swizzle(l,2,3,0,1),h=SIMD.Float32x4.add(SIMD.Float32x4.mul(l,c),h),d=SIMD.Float32x4.mul(o,c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),h=SIMD.Float32x4.sub(h,SIMD.Float32x4.mul(l,c)),d=SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,c),d),d=SIMD.Float32x4.swizzle(d,2,3,0,1),c=SIMD.Float32x4.mul(o,s),c=SIMD.Float32x4.swizzle(c,1,0,3,2),d=SIMD.Float32x4.add(SIMD.Float32x4.mul(u,c),d),p=SIMD.Float32x4.sub(SIMD.Float32x4.mul(l,c),p),c=SIMD.Float32x4.swizzle(c,2,3,0,1),d=SIMD.Float32x4.sub(SIMD.Float32x4.mul(u,c),d),p=SIMD.Float32x4.sub(p,SIMD.Float32x4.mul(l,c)),c=SIMD.Float32x4.mul(o,u),c=SIMD.Float32x4.swizzle(c,1,0,3,2),f=SIMD.Float32x4.sub(f,SIMD.Float32x4.mul(l,c)),d=SIMD.Float32x4.add(SIMD.Float32x4.mul(s,c),d),c=SIMD.Float32x4.swizzle(c,2,3,0,1),f=SIMD.Float32x4.add(SIMD.Float32x4.mul(l,c),f),d=SIMD.Float32x4.sub(d,SIMD.Float32x4.mul(s,c)),c=SIMD.Float32x4.mul(o,l),c=SIMD.Float32x4.swizzle(c,1,0,3,2),f=SIMD.Float32x4.add(SIMD.Float32x4.mul(u,c),f),p=SIMD.Float32x4.sub(p,SIMD.Float32x4.mul(s,c)),c=SIMD.Float32x4.swizzle(c,2,3,0,1),f=SIMD.Float32x4.sub(f,SIMD.Float32x4.mul(u,c)),p=SIMD.Float32x4.add(SIMD.Float32x4.mul(s,c),p),SIMD.Float32x4.store(t,0,h),SIMD.Float32x4.store(t,4,f),SIMD.Float32x4.store(t,8,d),SIMD.Float32x4.store(t,12,p),t},i.adjoint=n.USE_SIMD?i.SIMD.adjoint:i.scalar.adjoint,i.determinant=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],h=t[10],f=t[11],d=t[12],p=t[13],m=t[14],v=t[15];return(e*o-r*a)*(h*v-f*m)-(e*s-n*a)*(c*v-f*p)+(e*l-i*a)*(c*m-h*p)+(r*s-n*o)*(u*v-f*d)-(r*l-i*o)*(u*m-h*d)+(n*l-i*s)*(u*p-c*d)},i.SIMD.multiply=function(t,e,r){var n=SIMD.Float32x4.load(e,0),i=SIMD.Float32x4.load(e,4),a=SIMD.Float32x4.load(e,8),o=SIMD.Float32x4.load(e,12),s=SIMD.Float32x4.load(r,0),l=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,3,3,3,3),o))));SIMD.Float32x4.store(t,0,l);var u=SIMD.Float32x4.load(r,4),c=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,3,3,3,3),o))));SIMD.Float32x4.store(t,4,c);var h=SIMD.Float32x4.load(r,8),f=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,3,3,3,3),o))));SIMD.Float32x4.store(t,8,f);var d=SIMD.Float32x4.load(r,12),p=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,3,3,3,3),o))));return SIMD.Float32x4.store(t,12,p),t},i.scalar.multiply=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],h=e[8],f=e[9],d=e[10],p=e[11],m=e[12],v=e[13],g=e[14],y=e[15],b=r[0],x=r[1],_=r[2],w=r[3];return t[0]=b*n+x*s+_*h+w*m,t[1]=b*i+x*l+_*f+w*v,t[2]=b*a+x*u+_*d+w*g,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+_*h+w*m,t[5]=b*i+x*l+_*f+w*v,t[6]=b*a+x*u+_*d+w*g,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+_*h+w*m,t[9]=b*i+x*l+_*f+w*v,t[10]=b*a+x*u+_*d+w*g,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+_*h+w*m,t[13]=b*i+x*l+_*f+w*v,t[14]=b*a+x*u+_*d+w*g,t[15]=b*o+x*c+_*p+w*y,t},i.multiply=n.USE_SIMD?i.SIMD.multiply:i.scalar.multiply,i.mul=i.multiply,i.scalar.translate=function(t,e,r){var n,i,a,o,s,l,u,c,h,f,d,p,m=r[0],v=r[1],g=r[2];return e===t?(t[12]=e[0]*m+e[4]*v+e[8]*g+e[12],t[13]=e[1]*m+e[5]*v+e[9]*g+e[13],t[14]=e[2]*m+e[6]*v+e[10]*g+e[14],t[15]=e[3]*m+e[7]*v+e[11]*g+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],h=e[8],f=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]=h,t[9]=f,t[10]=d,t[11]=p,t[12]=n*m+s*v+h*g+e[12],t[13]=i*m+l*v+f*g+e[13],t[14]=a*m+u*v+d*g+e[14],t[15]=o*m+c*v+p*g+e[15]),t},i.SIMD.translate=function(t,e,r){var n=SIMD.Float32x4.load(e,0),i=SIMD.Float32x4.load(e,4),a=SIMD.Float32x4.load(e,8),o=SIMD.Float32x4.load(e,12),s=SIMD.Float32x4(r[0],r[1],r[2],0);e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11]),n=SIMD.Float32x4.mul(n,SIMD.Float32x4.swizzle(s,0,0,0,0)),i=SIMD.Float32x4.mul(i,SIMD.Float32x4.swizzle(s,1,1,1,1)),a=SIMD.Float32x4.mul(a,SIMD.Float32x4.swizzle(s,2,2,2,2));var l=SIMD.Float32x4.add(n,SIMD.Float32x4.add(i,SIMD.Float32x4.add(a,o)));return SIMD.Float32x4.store(t,12,l),t},i.translate=n.USE_SIMD?i.SIMD.translate:i.scalar.translate,i.scalar.scale=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},i.SIMD.scale=function(t,e,r){var n,i,a,o=SIMD.Float32x4(r[0],r[1],r[2],0);return n=SIMD.Float32x4.load(e,0),SIMD.Float32x4.store(t,0,SIMD.Float32x4.mul(n,SIMD.Float32x4.swizzle(o,0,0,0,0))),i=SIMD.Float32x4.load(e,4),SIMD.Float32x4.store(t,4,SIMD.Float32x4.mul(i,SIMD.Float32x4.swizzle(o,1,1,1,1))),a=SIMD.Float32x4.load(e,8),SIMD.Float32x4.store(t,8,SIMD.Float32x4.mul(a,SIMD.Float32x4.swizzle(o,2,2,2,2))),t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t},i.scale=n.USE_SIMD?i.SIMD.scale:i.scalar.scale,i.rotate=function(t,e,r,i){var a,o,s,l,u,c,h,f,d,p,m,v,g,y,b,x,_,w,M,k,A,T,S,E,L=i[0],C=i[1],I=i[2],z=Math.sqrt(L*L+C*C+I*I);return Math.abs(z)<n.EPSILON?null:(z=1/z,L*=z,C*=z,I*=z,a=Math.sin(r),o=Math.cos(r),s=1-o,l=e[0],u=e[1],c=e[2],h=e[3],f=e[4],d=e[5],p=e[6],m=e[7],v=e[8],g=e[9],y=e[10],b=e[11],x=L*L*s+o,_=C*L*s+I*a,w=I*L*s-C*a,M=L*C*s-I*a,k=C*C*s+o,A=I*C*s+L*a,T=L*I*s+C*a,S=C*I*s-L*a,E=I*I*s+o,t[0]=l*x+f*_+v*w,t[1]=u*x+d*_+g*w,t[2]=c*x+p*_+y*w,t[3]=h*x+m*_+b*w,t[4]=l*M+f*k+v*A,t[5]=u*M+d*k+g*A,t[6]=c*M+p*k+y*A,t[7]=h*M+m*k+b*A,t[8]=l*T+f*S+v*E,t[9]=u*T+d*S+g*E,t[10]=c*T+p*S+y*E,t[11]=h*T+m*S+b*E,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)},i.scalar.rotateX=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],h=e[10],f=e[11];return e!==t&&(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]),t[4]=a*i+u*n,t[5]=o*i+c*n,t[6]=s*i+h*n,t[7]=l*i+f*n,t[8]=u*i-a*n,t[9]=c*i-o*n,t[10]=h*i-s*n,t[11]=f*i-l*n,t},i.SIMD.rotateX=function(t,e,r){var n=SIMD.Float32x4.splat(Math.sin(r)),i=SIMD.Float32x4.splat(Math.cos(r));e!==t&&(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]);var a=SIMD.Float32x4.load(e,4),o=SIMD.Float32x4.load(e,8);return SIMD.Float32x4.store(t,4,SIMD.Float32x4.add(SIMD.Float32x4.mul(a,i),SIMD.Float32x4.mul(o,n))),SIMD.Float32x4.store(t,8,SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,i),SIMD.Float32x4.mul(a,n))),t},i.rotateX=n.USE_SIMD?i.SIMD.rotateX:i.scalar.rotateX,i.scalar.rotateY=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],h=e[10],f=e[11];return e!==t&&(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]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-h*n,t[3]=l*i-f*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+h*i,t[11]=l*n+f*i,t},i.SIMD.rotateY=function(t,e,r){var n=SIMD.Float32x4.splat(Math.sin(r)),i=SIMD.Float32x4.splat(Math.cos(r));e!==t&&(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]);var a=SIMD.Float32x4.load(e,0),o=SIMD.Float32x4.load(e,8);return SIMD.Float32x4.store(t,0,SIMD.Float32x4.sub(SIMD.Float32x4.mul(a,i),SIMD.Float32x4.mul(o,n))),SIMD.Float32x4.store(t,8,SIMD.Float32x4.add(SIMD.Float32x4.mul(a,n),SIMD.Float32x4.mul(o,i))),t},i.rotateY=n.USE_SIMD?i.SIMD.rotateY:i.scalar.rotateY,i.scalar.rotateZ=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],h=e[6],f=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+h*n,t[3]=l*i+f*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=h*i-s*n,t[7]=f*i-l*n,t},i.SIMD.rotateZ=function(t,e,r){var n=SIMD.Float32x4.splat(Math.sin(r)),i=SIMD.Float32x4.splat(Math.cos(r));e!==t&&(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]);var a=SIMD.Float32x4.load(e,0),o=SIMD.Float32x4.load(e,4);return SIMD.Float32x4.store(t,0,SIMD.Float32x4.add(SIMD.Float32x4.mul(a,i),SIMD.Float32x4.mul(o,n))),SIMD.Float32x4.store(t,4,SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,i),SIMD.Float32x4.mul(a,n))),t},i.rotateZ=n.USE_SIMD?i.SIMD.rotateZ:i.scalar.rotateZ,i.fromTranslation=function(t,e){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]=e[0],t[13]=e[1],t[14]=e[2],t[15]=1,t},i.fromScaling=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=e[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.fromRotation=function(t,e,r){var i,a,o,s=r[0],l=r[1],u=r[2],c=Math.sqrt(s*s+l*l+u*u);return Math.abs(c)<n.EPSILON?null:(c=1/c,s*=c,l*=c,u*=c,i=Math.sin(e),a=Math.cos(e),o=1-a,t[0]=s*s*o+a,t[1]=l*s*o+u*i,t[2]=u*s*o-l*i,t[3]=0,t[4]=s*l*o-u*i,t[5]=l*l*o+a,t[6]=u*l*o+s*i,t[7]=0,t[8]=s*u*o+l*i,t[9]=l*u*o-s*i,t[10]=u*u*o+a,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t)},i.fromXRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=n,t[6]=r,t[7]=0,t[8]=0,t[9]=-r,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.fromYRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=0,t[2]=-r,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=r,t[9]=0,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.fromZRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=0,t[4]=-r,t[5]=n,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},i.fromRotationTranslation=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,h=n*l,f=n*u,d=i*l,p=i*u,m=a*u,v=o*s,g=o*l,y=o*u;return t[0]=1-(d+m),t[1]=h+y,t[2]=f-g,t[3]=0,t[4]=h-y,t[5]=1-(c+m),t[6]=p+v,t[7]=0,t[8]=f+g,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},i.getTranslation=function(t,e){return t[0]=e[12],t[1]=e[13],t[2]=e[14],t},i.getRotation=function(t,e){var r=e[0]+e[5]+e[10],n=0;return r>0?(n=2*Math.sqrt(r+1),t[3]=.25*n,t[0]=(e[6]-e[9])/n,t[1]=(e[8]-e[2])/n,t[2]=(e[1]-e[4])/n):e[0]>e[5]&e[0]>e[10]?(n=2*Math.sqrt(1+e[0]-e[5]-e[10]),t[3]=(e[6]-e[9])/n,t[0]=.25*n,t[1]=(e[1]+e[4])/n,t[2]=(e[8]+e[2])/n):e[5]>e[10]?(n=2*Math.sqrt(1+e[5]-e[0]-e[10]),t[3]=(e[8]-e[2])/n,t[0]=(e[1]+e[4])/n,t[1]=.25*n,t[2]=(e[6]+e[9])/n):(n=2*Math.sqrt(1+e[10]-e[0]-e[5]),t[3]=(e[1]-e[4])/n,t[0]=(e[8]+e[2])/n,t[1]=(e[6]+e[9])/n,t[2]=.25*n),t},i.fromRotationTranslationScale=function(t,e,r,n){var i=e[0],a=e[1],o=e[2],s=e[3],l=i+i,u=a+a,c=o+o,h=i*l,f=i*u,d=i*c,p=a*u,m=a*c,v=o*c,g=s*l,y=s*u,b=s*c,x=n[0],_=n[1],w=n[2];return t[0]=(1-(p+v))*x,t[1]=(f+b)*x,t[2]=(d-y)*x,t[3]=0,t[4]=(f-b)*_,t[5]=(1-(h+v))*_,t[6]=(m+g)*_,t[7]=0,t[8]=(d+y)*w,t[9]=(m-g)*w,t[10]=(1-(h+p))*w,t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t},i.fromRotationTranslationScaleOrigin=function(t,e,r,n,i){var a=e[0],o=e[1],s=e[2],l=e[3],u=a+a,c=o+o,h=s+s,f=a*u,d=a*c,p=a*h,m=o*c,v=o*h,g=s*h,y=l*u,b=l*c,x=l*h,_=n[0],w=n[1],M=n[2],k=i[0],A=i[1],T=i[2];return t[0]=(1-(m+g))*_,t[1]=(d+x)*_,t[2]=(p-b)*_,t[3]=0,t[4]=(d-x)*w,t[5]=(1-(f+g))*w,t[6]=(v+y)*w,t[7]=0,t[8]=(p+b)*M,t[9]=(v-y)*M,t[10]=(1-(f+m))*M,t[11]=0,t[12]=r[0]+k-(t[0]*k+t[4]*A+t[8]*T),t[13]=r[1]+A-(t[1]*k+t[5]*A+t[9]*T),t[14]=r[2]+T-(t[2]*k+t[6]*A+t[10]*T),t[15]=1,t},i.fromQuat=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,h=n*s,f=i*o,d=i*s,p=i*l,m=a*o,v=a*s,g=a*l;return t[0]=1-h-p,t[1]=c+g,t[2]=f-v,t[3]=0,t[4]=c-g,t[5]=1-u-p,t[6]=d+m,t[7]=0,t[8]=f+v,t[9]=d-m,t[10]=1-u-h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.frustum=function(t,e,r,n,i,a,o){var s=1/(r-e),l=1/(i-n),u=1/(a-o);return t[0]=2*a*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=2*a*l,t[6]=0,t[7]=0,t[8]=(r+e)*s,t[9]=(i+n)*l,t[10]=(o+a)*u,t[11]=-1,t[12]=0,t[13]=0,t[14]=o*a*2*u,t[15]=0,t},i.perspective=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},i.perspectiveFromFieldOfView=function(t,e,r,n){var i=Math.tan(e.upDegrees*Math.PI/180),a=Math.tan(e.downDegrees*Math.PI/180),o=Math.tan(e.leftDegrees*Math.PI/180),s=Math.tan(e.rightDegrees*Math.PI/180),l=2/(o+s),u=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=u,t[6]=0,t[7]=0,t[8]=-(o-s)*l*.5,t[9]=(i-a)*u*.5,t[10]=n/(r-n),t[11]=-1,t[12]=0,t[13]=0,t[14]=n*r/(r-n),t[15]=0,t},i.ortho=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},i.lookAt=function(t,e,r,a){var o,s,l,u,c,h,f,d,p,m,v=e[0],g=e[1],y=e[2],b=a[0],x=a[1],_=a[2],w=r[0],M=r[1],k=r[2];return Math.abs(v-w)<n.EPSILON&&Math.abs(g-M)<n.EPSILON&&Math.abs(y-k)<n.EPSILON?i.identity(t):(f=v-w,d=g-M,p=y-k,m=1/Math.sqrt(f*f+d*d+p*p),f*=m,d*=m,p*=m,o=x*p-_*d,s=_*f-b*p,l=b*d-x*f,m=Math.sqrt(o*o+s*s+l*l),m?(m=1/m,o*=m,s*=m,l*=m):(o=0,s=0,l=0),u=d*l-p*s,c=p*o-f*l,h=f*s-d*o,m=Math.sqrt(u*u+c*c+h*h),m?(m=1/m,u*=m,c*=m,h*=m):(u=0,c=0,h=0),t[0]=o,t[1]=u,t[2]=f,t[3]=0,t[4]=s,t[5]=c,t[6]=d,t[7]=0,t[8]=l,t[9]=h,t[10]=p,t[11]=0,t[12]=-(o*v+s*g+l*y),t[13]=-(u*v+c*g+h*y),t[14]=-(f*v+d*g+p*y),t[15]=1,t)},i.str=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"},i.frob=function(t){return Math.sqrt(Math.pow(t[0],2)+Math.pow(t[1],2)+Math.pow(t[2],2)+Math.pow(t[3],2)+Math.pow(t[4],2)+Math.pow(t[5],2)+Math.pow(t[6],2)+Math.pow(t[7],2)+Math.pow(t[8],2)+Math.pow(t[9],2)+Math.pow(t[10],2)+Math.pow(t[11],2)+Math.pow(t[12],2)+Math.pow(t[13],2)+Math.pow(t[14],2)+Math.pow(t[15],2))},i.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t[3]=e[3]+r[3],t[4]=e[4]+r[4],t[5]=e[5]+r[5],t[6]=e[6]+r[6],t[7]=e[7]+r[7],t[8]=e[8]+r[8],t[9]=e[9]+r[9],t[10]=e[10]+r[10],t[11]=e[11]+r[11],t[12]=e[12]+r[12],t[13]=e[13]+r[13],t[14]=e[14]+r[14],t[15]=e[15]+r[15],t},i.subtract=function(t,e,r){return t[0]=e[0]-r[0],t[1]=e[1]-r[1],t[2]=e[2]-r[2],t[3]=e[3]-r[3],t[4]=e[4]-r[4],t[5]=e[5]-r[5],t[6]=e[6]-r[6],t[7]=e[7]-r[7],t[8]=e[8]-r[8],t[9]=e[9]-r[9],t[10]=e[10]-r[10],t[11]=e[11]-r[11],t[12]=e[12]-r[12],t[13]=e[13]-r[13],t[14]=e[14]-r[14],t[15]=e[15]-r[15],t},i.sub=i.subtract,i.multiplyScalar=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t[3]=e[3]*r,t[4]=e[4]*r,t[5]=e[5]*r,t[6]=e[6]*r,t[7]=e[7]*r,t[8]=e[8]*r,t[9]=e[9]*r,t[10]=e[10]*r,t[11]=e[11]*r,t[12]=e[12]*r,t[13]=e[13]*r,t[14]=e[14]*r,t[15]=e[15]*r,t},i.multiplyScalarAndAdd=function(t,e,r,n){return t[0]=e[0]+r[0]*n,t[1]=e[1]+r[1]*n,t[2]=e[2]+r[2]*n,t[3]=e[3]+r[3]*n,t[4]=e[4]+r[4]*n,t[5]=e[5]+r[5]*n,t[6]=e[6]+r[6]*n,t[7]=e[7]+r[7]*n,t[8]=e[8]+r[8]*n,t[9]=e[9]+r[9]*n,t[10]=e[10]+r[10]*n,t[11]=e[11]+r[11]*n,t[12]=e[12]+r[12]*n,t[13]=e[13]+r[13]*n,t[14]=e[14]+r[14]*n,t[15]=e[15]+r[15]*n,t},i.exactEquals=function(t,e){return t[0]===e[0]&&t[1]===e[1]&&t[2]===e[2]&&t[3]===e[3]&&t[4]===e[4]&&t[5]===e[5]&&t[6]===e[6]&&t[7]===e[7]&&t[8]===e[8]&&t[9]===e[9]&&t[10]===e[10]&&t[11]===e[11]&&t[12]===e[12]&&t[13]===e[13]&&t[14]===e[14]&&t[15]===e[15]},i.equals=function(t,e){var r=t[0],i=t[1],a=t[2],o=t[3],s=t[4],l=t[5],u=t[6],c=t[7],h=t[8],f=t[9],d=t[10],p=t[11],m=t[12],v=t[13],g=t[14],y=t[15],b=e[0],x=e[1],_=e[2],w=e[3],M=e[4],k=e[5],A=e[6],T=e[7],S=e[8],E=e[9],L=e[10],C=e[11],I=e[12],z=e[13],D=e[14],P=e[15];return 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b=m(t),x=m(t),w=m(t),M=m(t),k=m(t),A=v(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:x,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2},{buffer:M,type:t.FLOAT,size:3}]),T=m(t),S=m(t),E=m(t),L=m(t),C=v(t,[{buffer:T,type:t.FLOAT,size:3},{buffer:L,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:S,type:t.FLOAT,size:4},{buffer:E,type:t.FLOAT,size:2}]),I=m(t),z=m(t),D=m(t),P=m(t),O=m(t),R=v(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:O,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:z,type:t.FLOAT,size:4},{buffer:D,type:t.FLOAT,size:2},{buffer:P,type:t.FLOAT,size:1}]),F=m(t),j=v(t,[{buffer:F,type:t.FLOAT,size:3}]),N=new n(t,y,r,i,a,o,d,p,b,k,x,w,M,A,T,L,S,E,C,I,O,z,D,P,R,F,j);return N.update(e),N}var p=t(\"gl-shader\"),m=t(\"gl-buffer\"),v=t(\"gl-vao\"),g=t(\"gl-texture2d\"),y=t(\"normals\"),b=t(\"gl-mat4/multiply\"),x=t(\"gl-mat4/invert\"),_=t(\"ndarray\"),w=t(\"colormap\"),M=t(\"simplicial-complex-contour\"),k=t(\"typedarray-pool\"),A=t(\"./lib/shaders\"),T=t(\"./lib/closest-point\"),S=A.meshShader,E=A.wireShader,L=A.pointShader,C=A.pickShader,I=A.pointPickShader,z=A.contourShader,D=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],P=n.prototype;P.isOpaque=function(){return this.opacity>=1},P.isTransparent=function(){return this.opacity<1},P.pickSlots=1,P.setPickBase=function(t){this.pickId=t},P.highlight=function(t){if(!t||!this.contourEnable)return void(this.contourCount=0);for(var e=M(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=k.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var h=u[0];2===u.length&&(h=u[c]);for(var f=n[h][0],d=n[h][1],p=i[h],m=1-p,v=this.positions[f],g=this.positions[d],y=0;y<3;++y)o[s++]=p*v[y]+m*g[y]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),k.free(o)},P.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=g(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(i(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var s=[],l=[],u=[],c=[],h=[],f=[],d=[],p=[],m=[],v=[],b=[],x=[],_=[],w=[];this.cells=r,this.positions=n;var M=t.vertexNormals,k=t.cellNormals,A=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,T=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!k&&(k=y.faceNormals(r,n,T)),k||M||(M=y.vertexNormals(r,n,A));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,I=t.vertexIntensity,z=t.cellUVs,D=t.cellIntensity,P=1/0,O=-1/0;if(!C&&!z)if(I)if(t.vertexIntensityBounds)P=+t.vertexIntensityBounds[0],O=+t.vertexIntensityBounds[1];else for(var R=0;R<I.length;++R){var F=I[R];P=Math.min(P,F),O=Math.max(O,F)}else if(D)for(var R=0;R<D.length;++R){var F=D[R];P=Math.min(P,F),O=Math.max(O,F)}else for(var R=0;R<n.length;++R){var F=n[R][2];P=Math.min(P,F),O=Math.max(O,F)}this.intensity=I||(D?a(r,n.length,D):o(n));var j=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(var R=0;R<n.length;++R)for(var B=n[R],U=0;U<3;++U)!isNaN(B[U])&&isFinite(B[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],B[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],B[U]));var V=0,H=0,q=0;t:for(var R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(var Y=G[0],B=n[Y],U=0;U<3;++U)if(isNaN(B[U])||!isFinite(B[U]))continue t;v.push(B[0],B[1],B[2]);var W;W=S?S[Y]:E?E[R]:L,3===W.length?b.push(W[0],W[1],W[2],1):b.push(W[0],W[1],W[2],W[3]);var X;X=C?C[Y]:I?[(I[Y]-P)/(O-P),0]:z?z[R]:D?[(D[R]-P)/(O-P),0]:[(B[2]-P)/(O-P),0],x.push(X[0],X[1]),j?_.push(j[Y]):_.push(N),w.push(R),q+=1;break;case 2:for(var U=0;U<2;++U)for(var Y=G[U],B=n[Y],Z=0;Z<3;++Z)if(isNaN(B[Z])||!isFinite(B[Z]))continue t;for(var U=0;U<2;++U){var Y=G[U],B=n[Y];f.push(B[0],B[1],B[2]);var W;W=S?S[Y]:E?E[R]:L,3===W.length?d.push(W[0],W[1],W[2],1):d.push(W[0],W[1],W[2],W[3]);var X;X=C?C[Y]:I?[(I[Y]-P)/(O-P),0]:z?z[R]:D?[(D[R]-P)/(O-P),0]:[(B[2]-P)/(O-P),0],p.push(X[0],X[1]),m.push(R)}H+=1;break;case 3:for(var U=0;U<3;++U)for(var Y=G[U],B=n[Y],Z=0;Z<3;++Z)if(isNaN(B[Z])||!isFinite(B[Z]))continue t;for(var U=0;U<3;++U){var Y=G[U],B=n[Y];s.push(B[0],B[1],B[2]);var W;W=S?S[Y]:E?E[R]:L,3===W.length?l.push(W[0],W[1],W[2],1):l.push(W[0],W[1],W[2],W[3]);var X;X=C?C[Y]:I?[(I[Y]-P)/(O-P),0]:z?z[R]:D?[(D[R]-P)/(O-P),0]:[(B[2]-P)/(O-P),0],c.push(X[0],X[1]);var J;J=M?M[Y]:k[R],u.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(b),this.pointUVs.update(x),this.pointSizes.update(_),this.pointIds.update(new Uint32Array(w)),this.edgePositions.update(f),this.edgeColors.update(d),this.edgeUVs.update(p),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(s),this.triangleColors.update(l),this.triangleUVs.update(c),this.triangleNormals.update(u),this.triangleIds.update(new Uint32Array(h))}},P.drawTransparent=P.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||D,n=t.view||D,i=t.projection||D,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<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,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};this.texture.bind(0);var l=new Array(16);b(l,s.view,s.model),b(l,s.projection,l),x(l,l);for(var o=0;o<3;++o)s.eyePosition[o]=l[12+o]/l[15];for(var u=l[15],o=0;o<3;++o)u+=this.lightPosition[o]*l[4*o+3];for(var o=0;o<3;++o){for(var c=l[12+o],h=0;h<3;++h)c+=l[4*h+o]*this.lightPosition[h];s.lightPosition[o]=c/u}if(this.triangleCount>0){var f=this.triShader;f.bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}if(this.edgeCount>0&&this.lineWidth>0){var f=this.lineShader;f.bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()}if(this.pointCount>0){var f=this.pointShader;f.bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()}if(this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0){var f=this.contourShader;f.bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind()}},P.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||D,n=t.view||D,i=t.projection||D,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<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,pickId:this.pickId/255},l=this.pickShader;if(l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0){var l=this.pointPickShader;l.bind(),l.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()}},P.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<r.length;++a)i[a]=n[r[a]];var o=T(i,[t.coord[0],this._resolution[1]-t.coord[1]],this._model,this._view,this._projection,this._resolution);if(!o)return null;for(var s=o[2],l=0,a=0;a<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]]]}},P.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=d},{\"./lib/closest-point\":203,\"./lib/shaders\":204,colormap:99,\"gl-buffer\":156,\"gl-mat4/invert\":181,\"gl-mat4/multiply\":183,\"gl-shader\":255,\"gl-texture2d\":267,\"gl-vao\":271,ndarray:467,normals:469,\"simplicial-complex-contour\":517,\"typedarray-pool\":541}],206:[function(t,e,r){\"use strict\";function n(t,e,r){this.plot=t,this.vbo=e,this.shader=r}function i(t){var e=t.gl;return new n(t,a(e,[0,0,0,1,1,0,1,1]),o(e,s.boxVert,s.lineFrag))}e.exports=i;var a=t(\"gl-buffer\"),o=t(\"gl-shader\"),s=t(\"./shaders\"),l=n.prototype;l.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},l.drawBox=function(){var t=[0,0],e=[0,0];return function(r,n,i,a,o){var s=this.plot,l=this.shader,u=s.gl;t[0]=r,t[1]=n,e[0]=i,e[1]=a,l.uniforms.lo=t,l.uniforms.hi=e,l.uniforms.color=o,u.drawArrays(u.TRIANGLE_STRIP,0,4)}}(),l.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":209,\"gl-buffer\":156,\"gl-shader\":212}],207:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function i(t,e){return t-e}function a(t){var e=t.gl;return new n(t,o(e),s(e,u.gridVert,u.gridFrag),s(e,u.tickVert,u.gridFrag))}e.exports=a;var o=t(\"gl-buffer\"),s=t(\"gl-shader\"),l=t(\"binary-search-bounds\"),u=t(\"./shaders\"),c=n.prototype;c.draw=function(){var t=[0,0],e=[0,0],r=[0,0];return function(){for(var n=this.plot,i=this.vbo,a=this.shader,o=this.ticks,s=n.gl,l=n._tickBounds,u=n.dataBox,c=n.viewBox,h=n.gridLineWidth,f=n.gridLineColor,d=n.gridLineEnable,p=n.pixelRatio,m=0;m<2;++m){var v=l[m],g=l[m+2],y=g-v,b=.5*(u[m+2]+u[m]),x=u[m+2]-u[m];e[m]=2*y/x,t[m]=2*(v-b)/x}a.bind(),i.bind(),a.attributes.dataCoord.pointer(),a.uniforms.dataShift=t,a.uniforms.dataScale=e;for(var _=0,m=0;m<2;++m){r[0]=r[1]=0,r[m]=1,a.uniforms.dataAxis=r,a.uniforms.lineWidth=h[m]/(c[m+2]-c[m])*p,a.uniforms.color=f[m];var w=6*o[m].length;d[m]&&w&&s.drawArrays(s.TRIANGLES,_,w),_+=w}}}(),c.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],a=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,h=this.ticks,f=s.gl,d=s._tickBounds,p=s.dataBox,m=s.viewBox,v=s.pixelRatio,g=s.screenBox,y=g[2]-g[0],b=g[3]-g[1],x=m[2]-m[0],_=m[3]-m[1],w=0;w<2;++w){var M=d[w],k=d[w+2],A=k-M,T=.5*(p[w+2]+p[w]),S=p[w+2]-p[w];e[w]=2*A/S,t[w]=2*(M-T)/S}e[0]*=x/y,t[0]*=x/y,e[1]*=_/b,t[1]*=_/b,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var E=c.uniforms;E.dataShift=t,E.dataScale=e;var L=s.tickMarkLength,C=s.tickMarkWidth,I=s.tickMarkColor,z=6*h[0].length,D=Math.min(l.ge(h[0],(p[0]-d[0])/(d[2]-d[0]),i),h[0].length),P=Math.min(l.gt(h[0],(p[2]-d[0])/(d[2]-d[0]),i),h[0].length),O=0+6*D,R=6*Math.max(0,P-D),F=Math.min(l.ge(h[1],(p[1]-d[1])/(d[3]-d[1]),i),h[1].length),j=Math.min(l.gt(h[1],(p[3]-d[1])/(d[3]-d[1]),i),h[1].length),N=z+6*F,B=6*Math.max(0,j-F);a[0]=2*(m[0]-L[1])/y-1,a[1]=(m[3]+m[1])/b-1,o[0]=L[1]*v/y,o[1]=C[1]*v/b,B&&(E.color=I[1],E.tickScale=o,E.dataAxis=n,E.screenOffset=a,f.drawArrays(f.TRIANGLES,N,B)),a[0]=(m[2]+m[0])/y-1,a[1]=2*(m[1]-L[0])/b-1,o[0]=C[0]*v/y,o[1]=L[0]*v/b,R&&(E.color=I[0],E.tickScale=o,E.dataAxis=r,E.screenOffset=a,f.drawArrays(f.TRIANGLES,O,R)),a[0]=2*(m[2]+L[3])/y-1,a[1]=(m[3]+m[1])/b-1,o[0]=L[3]*v/y,o[1]=C[3]*v/b,B&&(E.color=I[3],E.tickScale=o,E.dataAxis=n,E.screenOffset=a,f.drawArrays(f.TRIANGLES,N,B)),a[0]=(m[2]+m[0])/y-1,a[1]=2*(m[3]+L[2])/b-1,o[0]=C[2]*v/y,o[1]=L[2]*v/b,R&&(E.color=I[2],E.tickScale=o,E.dataAxis=r,E.screenOffset=a,f.drawArrays(f.TRIANGLES,O,R))}}(),c.update=function(){var t=[1,1,-1,-1,1,-1],e=[1,-1,1,1,-1,-1];return function(r){for(var n=r.ticks,i=r.bounds,a=new Float32Array(18*(n[0].length+n[1].length)),o=(this.plot.zeroLineEnable,0),s=[[],[]],l=0;l<2;++l)for(var u=s[l],c=n[l],h=i[l],f=i[l+2],d=0;d<c.length;++d){var p=(c[d].x-h)/(f-h);u.push(p);for(var m=0;m<6;++m)a[o++]=p,a[o++]=t[m],a[o++]=e[m]}this.ticks=s,this.vbo.update(a)}}(),c.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":209,\"binary-search-bounds\":211,\"gl-buffer\":156,\"gl-shader\":212}],208:[function(t,e,r){\"use strict\";function n(t,e,r){this.plot=t,this.vbo=e,this.shader=r}function i(t){var e=t.gl;return new n(t,a(e,[-1,-1,-1,1,1,-1,1,1]),o(e,s.lineVert,s.lineFrag))}e.exports=i;var a=t(\"gl-buffer\"),o=t(\"gl-shader\"),s=t(\"./shaders\"),l=n.prototype;l.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},l.drawLine=function(){var t=[0,0],e=[0,0];return function(r,n,i,a,o,s){var l=this.plot,u=this.shader,c=l.gl;t[0]=r,t[1]=n,e[0]=i,e[1]=a,u.uniforms.start=t,u.uniforms.end=e,u.uniforms.width=o*l.pixelRatio,u.uniforms.color=s,c.drawArrays(c.TRIANGLE_STRIP,0,4)}}(),l.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":209,\"gl-buffer\":156,\"gl-shader\":212}],209:[function(t,e,r){\"use strict\";var n=\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\";e.exports={lineVert:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\",lineFrag:n,textVert:\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\",textFrag:n,gridVert:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * 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strict\";function n(t,e){if(!s){var r=Object.keys(o);s={};for(var n=0;n<r.length;++n){var i=r[n];s[t[i]]=o[i]}}return s[e]}function i(t,e){for(var r=t.getProgramParameter(e,t.ACTIVE_UNIFORMS),i=[],a=0;a<r;++a){var o=t.getActiveUniform(e,a);if(o){var s=n(t,o.type);if(o.size>1)for(var l=0;l<o.size;++l)i.push({name:o.name.replace(\"[0]\",\"[\"+l+\"]\"),type:s});else i.push({name:o.name,type:s})}}return i}function a(t,e){for(var r=t.getProgramParameter(e,t.ACTIVE_ATTRIBUTES),i=[],a=0;a<r;++a){var o=t.getActiveAttrib(e,a);o&&i.push({name:o.name,type:n(t,o.type)})}return i}r.uniforms=i,r.attributes=a;var o={FLOAT:\"float\",FLOAT_VEC2:\"vec2\",FLOAT_VEC3:\"vec3\",FLOAT_VEC4:\"vec4\",INT:\"int\",INT_VEC2:\"ivec2\",INT_VEC3:\"ivec3\",INT_VEC4:\"ivec4\",BOOL:\"bool\",BOOL_VEC2:\"bvec2\",BOOL_VEC3:\"bvec3\",BOOL_VEC4:\"bvec4\",FLOAT_MAT2:\"mat2\",FLOAT_MAT3:\"mat3\",FLOAT_MAT4:\"mat4\",SAMPLER_2D:\"sampler2D\",SAMPLER_CUBE:\"samplerCube\"},s=null},{}],218:[function(t,e,r){\"use strict\";function 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c=t(\"./GLError\"),h=t(\"gl-format-compiler-error\"),f=\"undefined\"==typeof WeakMap?t(\"weakmap-shim\"):WeakMap,d=new f,p=0;n.prototype.dispose=function(){if(0==--this.count){for(var t=this.cache,e=t.gl,r=this.programs,n=0,i=r.length;n<i;++n){var a=t.programs[r[n]];a&&(delete t.programs[n],e.deleteProgram(a))}e.deleteShader(this.shader),delete t.shaders[this.type===e.FRAGMENT_SHADER|0][this.src]}};var m=i.prototype;m.getShaderReference=function(t,e){var r=this.gl,i=this.shaders[t===r.FRAGMENT_SHADER|0],o=i[e];if(o&&r.isShader(o.shader))o.count+=1;else{var s=a(r,t,e);o=i[e]=new n(p++,e,t,s,[],1,this)}return o},m.getProgram=function(t,e,r,n){var i=[t.id,e.id,r.join(\":\"),n.join(\":\")].join(\"@\"),a=this.programs[i];return a&&this.gl.isProgram(a)||(this.programs[i]=a=o(this.gl,t.shader,e.shader,r,n),t.programs.push(i),e.programs.push(i)),a}},{\"./GLError\":213,\"gl-format-compiler-error\":165,\"weakmap-shim\":562}],219:[function(t,e,r){\"use strict\";function n(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}function i(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function a(t,e){return t.x-e.x}function o(t){var e=t.gl,r=s(e,[e.drawingBufferWidth,e.drawingBufferHeight]),i=new n(e,r);return i.grid=l(i),i.text=u(i),i.line=c(i),i.box=h(i),i.update(t),i}e.exports=o;var s=t(\"gl-select-static\"),l=t(\"./lib/grid\"),u=t(\"./lib/text\"),c=t(\"./lib/line\"),h=t(\"./lib/box\"),f=n.prototype;f.setDirty=function(){this.dirty=this.pickDirty=!0},f.setOverlayDirty=function(){this.dirty=!0},f.nextDepthValue=function(){return this._depthCounter++/65536},f.draw=function(){return function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT),t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,d=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var p=0;p<2;++p)if(h[p]&&n[p]<=0&&n[p+2]>=0){var m=e[p]-n[p]*(e[p+2]-e[p])/(n[p+2]-n[p]);0===p?o.drawLine(m,e[1],m,e[3],d[p],f[p]):o.drawLine(e[0],m,e[2],m,d[p],f[p])}}for(var p=0;p<l.length;++p)l[p].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var v=this.borderLineEnable,g=this.borderLineWidth,y=this.borderLineColor;v[1]&&o.drawLine(r[0],r[1]-.5*g[1]*i,r[0],r[3]+.5*g[3]*i,g[1],y[1]),v[0]&&o.drawLine(r[0]-.5*g[0]*i,r[1],r[2]+.5*g[2]*i,r[1],g[0],y[0]),v[3]&&o.drawLine(r[2],r[1]-.5*g[1]*i,r[2],r[3]+.5*g[3]*i,g[3],y[3]),v[2]&&o.drawLine(r[0]-.5*g[0]*i,r[3],r[2]+.5*g[2]*i,r[3],g[2],y[2]),s.bind();for(var p=0;p<2;++p)s.drawTicks(p);this.titleEnable&&s.drawTitle();for(var b=this.overlays,p=0;p<b.length;++p)b[p].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}}}(),f.drawPick=function(){return function(){if(!this.static){var t=this.pickBuffer;this.gl;this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}}}(),f.pick=function(){return function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),u=this.objects,c=0;c<u.length;++c){var h=u[c].pick(a,o,l);if(h)return h}return null}}}(),f.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},f.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},f.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},f.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,o=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/o,10,10/o]),this.borderColor=(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=i(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=i(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=i(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t&&!t.titleEnable),this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=i(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=i(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=i(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var s=t.ticks||[[],[]],l=this._tickBounds;l[0]=l[1]=1/0,l[2]=l[3]=-1/0;for(var u=0;u<2;++u){var c=s[u].slice(0);0!==c.length&&(c.sort(a),l[u]=Math.min(l[u],c[0].x),l[u+2]=Math.max(l[u+2],c[c.length-1].x))}this.grid.update({bounds:l,ticks:s}),this.text.update({bounds:l,ticks:s,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},f.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(var t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},f.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},f.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},f.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},f.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":206,\"./lib/grid\":207,\"./lib/line\":208,\"./lib/text\":210,\"gl-select-static\":254}],220:[function(t,e,r){var n=t(\"gl-shader\");e.exports=function(t){return n(t,\"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}\",\"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}\",null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":255}],221:[function(t,e,r){\"use strict\";function n(){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 i(t,e){var r=null;try{r=t.getContext(\"webgl\",e),r||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}function a(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){var r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function o(t){return\"boolean\"!=typeof t||t}function s(t){function e(){if(!w&&G.autoResize){var t=M.parentNode,e=1,r=1;t&&t!==document.body?(e=t.clientWidth,r=t.clientHeight):(e=window.innerWidth,r=window.innerHeight);var n=0|Math.ceil(e*G.pixelRatio),i=0|Math.ceil(r*G.pixelRatio);if(n!==M.width||i!==M.height){M.width=n,M.height=i;var a=M.style;a.position=a.position||\"absolute\",a.left=\"0px\",a.top=\"0px\",a.width=e+\"px\",a.height=r+\"px\",N=!0}}}function r(){for(var t=O.length,e=j.length,r=0;r<e;++r)F[r]=0;t:for(var r=0;r<t;++r){var n=O[r],i=n.pickSlots;if(i){for(var a=0;a<e;++a)if(F[a]+i<255){R[r]=a,n.setPickBase(F[a]+1),F[a]+=i;continue t}var o=f(A,q);R[r]=e,j.push(o),F.push(i),n.setPickBase(1),e+=1}else R[r]=-1}for(;e>0&&0===F[e-1];)F.pop(),j.pop().dispose()}function s(){if(G.contextLost)return!0;A.isContextLost()&&(G.contextLost=!0,G.mouseListener.enabled=!1,G.selection.object=null,G.oncontextloss&&G.oncontextloss())}function b(){if(!s()){A.colorMask(!0,!0,!0,!0),A.depthMask(!0),A.disable(A.BLEND),A.enable(A.DEPTH_TEST);for(var t=O.length,e=j.length,r=0;r<e;++r){var n=j[r];n.shape=Y,n.begin();for(var i=0;i<t;++i)if(R[i]===r){var a=O[i];a.drawPick&&(a.pixelRatio=1,a.drawPick(H))}n.end()}}}function x(){if(!s()){e();var t=G.camera.tick();H.view=G.camera.matrix,N=N||t,B=B||t,z.pixelRatio=G.pixelRatio,P.pixelRatio=G.pixelRatio;var r=O.length,n=Z[0],i=Z[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<r;++o){var l=O[o];l.pixelRatio=G.pixelRatio,l.axes=G.axes,N=N||!!l.dirty,B=B||!!l.dirty;var u=l.bounds;if(u)for(var h=u[0],f=u[1],d=0;d<3;++d)n[d]=Math.min(n[d],h[d]),i[d]=Math.max(i[d],f[d])}var m=G.bounds;if(G.autoBounds)for(var d=0;d<3;++d){if(i[d]<n[d])n[d]=-1,i[d]=1;else{n[d]===i[d]&&(n[d]-=1,i[d]+=1);var g=.05*(i[d]-n[d]);n[d]=n[d]-g,i[d]=i[d]+g}m[0][d]=n[d],m[1][d]=i[d]}for(var y=!1,d=0;d<3;++d)y=y||J[0][d]!==m[0][d]||J[1][d]!==m[1][d],J[0][d]=m[0][d],J[1][d]=m[1][d];if(B=B||y,N=N||y){if(y){for(var x=[0,0,0],o=0;o<3;++o)x[o]=a((m[1][o]-m[0][o])/10);z.autoTicks?z.update({bounds:m,tickSpacing:x}):z.update({bounds:m})}var _=A.drawingBufferWidth,w=A.drawingBufferHeight;q[0]=_,q[1]=w,Y[0]=0|Math.max(_/G.pixelRatio,1),Y[1]=0|Math.max(w/G.pixelRatio,1),v(U,G.fovy,_/w,G.zNear,G.zFar);for(var o=0;o<16;++o)V[o]=0;V[15]=1;for(var M=0,o=0;o<3;++o)M=Math.max(M,m[1][o]-m[0][o]);for(var o=0;o<3;++o)G.autoScale?V[5*o]=G.aspect[o]/(m[1][o]-m[0][o]):V[5*o]=1/M,G.autoCenter&&(V[12+o]=.5*-V[5*o]*(m[0][o]+m[1][o]));for(var o=0;o<r;++o){var l=O[o];l.axesBounds=m,G.clipToBounds&&(l.clipBounds=m)}S.object&&(G.snapToData?P.position=S.dataCoordinate:P.position=S.dataPosition,P.bounds=m),B&&(B=!1,b()),G.axesPixels=c(G.axes,H,_,w),G.onrender&&G.onrender(),A.bindFramebuffer(A.FRAMEBUFFER,null),A.viewport(0,0,_,w);var k=G.clearColor;A.clearColor(k[0],k[1],k[2],k[3]),A.clear(A.COLOR_BUFFER_BIT|A.DEPTH_BUFFER_BIT),A.depthMask(!0),A.colorMask(!0,!0,!0,!0),A.enable(A.DEPTH_TEST),A.depthFunc(A.LEQUAL),A.disable(A.BLEND),A.disable(A.CULL_FACE);var T=!1;z.enable&&(T=T||z.isTransparent(),z.draw(H)),P.axes=z,S.object&&P.draw(H),A.disable(A.CULL_FACE);for(var o=0;o<r;++o){var l=O[o];l.axes=z,l.pixelRatio=G.pixelRatio,l.isOpaque&&l.isOpaque()&&l.draw(H),l.isTransparent&&l.isTransparent()&&(T=!0)}if(T){E.shape=q,E.bind(),A.clear(A.DEPTH_BUFFER_BIT),A.colorMask(!1,!1,!1,!1),A.depthMask(!0),A.depthFunc(A.LESS),z.enable&&z.isTransparent()&&z.drawTransparent(H);for(var o=0;o<r;++o){var l=O[o];l.isOpaque&&l.isOpaque()&&l.draw(H)}A.enable(A.BLEND),A.blendEquation(A.FUNC_ADD),A.blendFunc(A.ONE,A.ONE_MINUS_SRC_ALPHA),A.colorMask(!0,!0,!0,!0),A.depthMask(!1),A.clearColor(0,0,0,0),A.clear(A.COLOR_BUFFER_BIT),z.isTransparent()&&z.drawTransparent(H);for(var o=0;o<r;++o){var l=O[o];l.isTransparent&&l.isTransparent()&&l.drawTransparent(H)}A.bindFramebuffer(A.FRAMEBUFFER,null),A.blendFunc(A.ONE,A.ONE_MINUS_SRC_ALPHA),A.disable(A.DEPTH_TEST),L.bind(),E.color[0].bind(0),L.uniforms.accumBuffer=0,p(A),A.disable(A.BLEND)}N=!1;for(var o=0;o<r;++o)O[o].dirty=!1}}}function _(){w||G.contextLost||(requestAnimationFrame(_),x())}t=t||{};var w=!1,M=(t.pixelRatio||parseFloat(window.devicePixelRatio),t.canvas);if(!M)if(M=document.createElement(\"canvas\"),t.container){var k=t.container;k.appendChild(M)}else document.body.appendChild(M);var A=t.gl;if(A||(A=i(M,t.glOptions||{premultipliedAlpha:!0,antialias:!0})),!A)throw new Error(\"webgl not supported\");var T=t.bounds||[[-10,-10,-10],[10,10,10]],S=new n,E=d(A,[A.drawingBufferWidth,A.drawingBufferHeight],{preferFloat:!y}),L=g(A),C=t.camera||{eye:[2,0,0],center:[0,0,0],up:[0,1,0],zoomMin:.1,zoomMax:100,mode:\"turntable\"},I=t.axes||{},z=u(A,I);z.enable=!I.disable;var D=t.spikes||{},P=h(A,D),O=[],R=[],F=[],j=[],N=!0,B=!0,U=new Array(16),V=new Array(16),H={view:null,projection:U,model:V},B=!0,q=[A.drawingBufferWidth,A.drawingBufferHeight],G={gl:A,contextLost:!1,pixelRatio:t.pixelRatio||parseFloat(window.devicePixelRatio),canvas:M,selection:S,camera:l(M,C),axes:z,axesPixels:null,spikes:P,bounds:T,objects:O,shape:q,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:o(t.autoResize),autoBounds:o(t.autoBounds),autoScale:!!t.autoScale,autoCenter:o(t.autoCenter),clipToBounds:o(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:H,oncontextloss:null,mouseListener:null},Y=[A.drawingBufferWidth/G.pixelRatio|0,A.drawingBufferHeight/G.pixelRatio|0];G.autoResize&&e(),window.addEventListener(\"resize\",e),G.update=function(t){w||(t=t||{},N=!0,B=!0)},G.add=function(t){w||(t.axes=z,O.push(t),R.push(-1),N=!0,B=!0,r())},G.remove=function(t){if(!w){var e=O.indexOf(t);e<0||(O.splice(e,1),R.pop(),N=!0,B=!0,r())}},G.dispose=function(){if(!w&&(w=!0,window.removeEventListener(\"resize\",e),M.removeEventListener(\"webglcontextlost\",s),G.mouseListener.enabled=!1,!G.contextLost)){z.dispose(),P.dispose();for(var t=0;t<O.length;++t)O[t].dispose();E.dispose();for(var t=0;t<j.length;++t)j[t].dispose();L.dispose(),A=null,z=null,P=null,O=[]}};var W=!1,X=0;G.mouseListener=m(M,function(t,e,r){if(!w){var n=j.length,i=O.length,a=S.object;S.distance=1/0,S.mouse[0]=e,S.mouse[1]=r,S.object=null,S.screen=null,S.dataCoordinate=S.dataPosition=null;var o=!1;if(t&&X)W=!0;else{W&&(B=!0),W=!1;for(var s=0;s<n;++s){var l=j[s].query(e,Y[1]-r-1,G.pickRadius);if(l){if(l.distance>S.distance)continue;for(var u=0;u<i;++u){var c=O[u];if(R[u]===s){var h=c.pick(l);h&&(S.buttons=t,S.screen=l.coord,S.distance=l.distance,S.object=c,S.index=h.distance,S.dataPosition=h.position,S.dataCoordinate=h.dataCoordinate,S.data=h,o=!0)}}}}}a&&a!==S.object&&(a.highlight&&a.highlight(null),N=!0),S.object&&(S.object.highlight&&S.object.highlight(S.data),N=!0),o=o||S.object!==a,o&&G.onselect&&G.onselect(S),1&t&&!(1&X)&&G.onclick&&G.onclick(S),X=t}}),M.addEventListener(\"webglcontextlost\",s);var Z=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],J=[Z[0].slice(),Z[1].slice()];return _(),G.redraw=function(){w||(N=!0,x())},G}e.exports=s;var l=t(\"3d-view-controls\"),u=t(\"gl-axes3d\"),c=t(\"gl-axes3d/properties\"),h=t(\"gl-spikes3d\"),f=t(\"gl-select-static\"),d=t(\"gl-fbo\"),p=t(\"a-big-triangle\"),m=t(\"mouse-change\"),v=t(\"gl-mat4/perspective\"),g=t(\"./lib/shader\"),y=t(\"is-mobile\")()},{\"./lib/shader\":220,\"3d-view-controls\":36,\"a-big-triangle\":39,\"gl-axes3d\":148,\"gl-axes3d/properties\":155,\"gl-fbo\":164,\"gl-mat4/perspective\":184,\"gl-select-static\":254,\"gl-spikes3d\":264,\"is-mobile\":296,\"mouse-change\":452}],222:[function(t,e,r){r.pointVertex=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\",r.pointFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\",r.pickVertex=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\",r.pickFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"},{}],223:[function(t,e,r){arguments[4][212][0].apply(r,arguments)},{\"./lib/GLError\":224,\"./lib/create-attributes\":225,\"./lib/create-uniforms\":226,\"./lib/reflect\":227,\"./lib/runtime-reflect\":228,\"./lib/shader-cache\":229,dup:212}],224:[function(t,e,r){arguments[4][213][0].apply(r,arguments)},{dup:213}],225:[function(t,e,r){arguments[4][214][0].apply(r,arguments)},{\n",
       "\"./GLError\":224,dup:214}],226:[function(t,e,r){arguments[4][215][0].apply(r,arguments)},{\"./GLError\":224,\"./reflect\":227,dup:215}],227:[function(t,e,r){arguments[4][216][0].apply(r,arguments)},{dup:216}],228:[function(t,e,r){arguments[4][217][0].apply(r,arguments)},{dup:217}],229:[function(t,e,r){arguments[4][218][0].apply(r,arguments)},{\"./GLError\":224,dup:218,\"gl-format-compiler-error\":165,\"weakmap-shim\":562}],230:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}function i(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}function a(t,e){var r=t.gl,i=s(r),a=s(r),l=o(r,u.pointVertex,u.pointFragment),c=o(r,u.pickVertex,u.pickFragment),h=new n(t,i,a,l,c);return h.update(e),t.addObject(h),h}var o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"typedarray-pool\"),u=t(\"./lib/shader\");e.exports=a;var c=n.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){function e(e,r){return e in t?t[e]:r}var r;t=t||{},this.sizeMin=e(\"sizeMin\",.5),this.sizeMax=e(\"sizeMax\",20),this.color=e(\"color\",[1,0,0,1]).slice(),this.areaRatio=e(\"areaRatio\",1),this.borderColor=e(\"borderColor\",[0,0,0,1]).slice(),this.blend=e(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,a=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,o=t.positions,s=i?o:l.mallocFloat32(o.length),u=a?t.idToIndex:l.mallocInt32(n);if(i||s.set(o),!a)for(s.set(o),r=0;r<n;r++)u[r]=r;this.points=o,this.offsetBuffer.update(s),this.pickBuffer.update(u),i||l.free(s),a||l.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=void 0!==r,a=n?this.pickShader:this.shader,o=this.plot.gl,s=this.plot.dataBox;if(0===this.pointCount)return r;var l=s[2]-s[0],u=s[3]-s[1],c=i(this.points,s),h=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(c,.33333)));t[0]=2/l,t[4]=2/u,t[6]=-2*s[0]/l-1,t[7]=-2*s[1]/u-1,this.offsetBuffer.bind(),a.bind(),a.attributes.position.pointer(),a.uniforms.matrix=t,a.uniforms.color=this.color,a.uniforms.borderColor=this.borderColor,a.uniforms.pointCloud=h<5,a.uniforms.pointSize=h,a.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),n&&(e[0]=255&r,e[1]=r>>8&255,e[2]=r>>16&255,e[3]=r>>24&255,this.pickBuffer.bind(),a.attributes.pickId.pointer(o.UNSIGNED_BYTE),a.uniforms.pickOffset=e,this.pickOffset=r);var f=o.getParameter(o.BLEND),d=o.getParameter(o.DITHER);return f&&!this.blend&&o.disable(o.BLEND),d&&o.disable(o.DITHER),o.drawArrays(o.POINTS,0,this.pointCount),f&&!this.blend&&o.enable(o.BLEND),d&&o.enable(o.DITHER),r+this.pointCount}}(),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":222,\"gl-buffer\":156,\"gl-shader\":223,\"typedarray-pool\":541}],231:[function(t,e,r){function n(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],h=e[2],f=e[3],d=r[0],p=r[1],m=r[2],v=r[3];return a=u*d+c*p+h*m+f*v,a<0&&(a=-a,d=-d,p=-p,m=-m,v=-v),1-a>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),t[0]=s*u+l*d,t[1]=s*c+l*p,t[2]=s*h+l*m,t[3]=s*f+l*v,t}e.exports=n},{}],232:[function(t,e,r){\"use strict\";e.exports={vertex:\"precision highp float;\\n#define GLSLIFY 1\\n\\n\\nvec4 computePosition_1_0(vec2 posHi, vec2 posLo, vec2 scHi, vec2 scLo, vec2 trHi, vec2 trLo) {\\n  return vec4((posHi + trHi) * scHi\\n  \\t\\t\\t//FIXME: this thingy does not give noticeable precision gain, need test\\n            + (posLo + trLo) * scHi\\n            + (posHi + trHi) * scLo\\n            + (posLo + trLo) * scLo\\n            , 0, 1);\\n}\\n\\n\\nattribute vec2 positionHi, positionLo;\\nattribute float size, border;\\nattribute vec2 char, color;\\n\\n//this is 64-bit form of scale and translate\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform float pixelRatio;\\nuniform vec4 viewBox;\\nuniform sampler2D palette;\\n\\nvarying vec4 charColor, borderColor;\\nvarying vec2 charId;\\nvarying vec2 pointCoord;\\nvarying float pointSize;\\nvarying float borderWidth;\\n\\n\\nvoid main() {\\n  charColor = texture2D(palette, vec2(color.x / 255., 0));\\n  borderColor = texture2D(palette, vec2(color.y / 255., 0));\\n\\n  gl_PointSize = size * pixelRatio;\\n  pointSize = size * pixelRatio;\\n\\n  charId = char;\\n  borderWidth = border;\\n\\n  gl_Position = computePosition_1_0(\\n    positionHi, positionLo,\\n    scaleHi, scaleLo,\\n    translateHi, translateLo);\\n\\n  pointCoord = viewBox.xy + (viewBox.zw - viewBox.xy) * (gl_Position.xy * .5 + .5);\\n}\\n\",fragment:\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D chars;\\nuniform vec2 charsShape;\\nuniform float charsStep, pixelRatio, charOffset;\\n\\nvarying vec4 borderColor;\\nvarying vec4 charColor;\\nvarying vec2 charId;\\nvarying vec2 pointCoord;\\nvarying float pointSize;\\nvarying float borderWidth;\\n\\nvoid main() {\\n\\tvec2 pointUV = (pointCoord - gl_FragCoord.xy + pointSize * .5) / pointSize;\\n\\tpointUV.x = 1. - pointUV.x;\\n\\tvec2 texCoord = ((charId + pointUV) * charsStep) / charsShape;\\n\\tfloat dist = texture2D(chars, texCoord).r;\\n\\n\\t//max-distance alpha\\n\\tif (dist < 1e-2)\\n\\t\\tdiscard;\\n\\n\\tfloat gamma = .0045 * charsStep / pointSize;\\n\\n    //null-border case\\n \\tif (borderWidth * borderColor.a == 0.) {\\n\\t\\tfloat charAmt = smoothstep(.748 - gamma, .748 + gamma, dist);\\n\\t\\tgl_FragColor = vec4(charColor.rgb, charAmt*charColor.a);\\n\\t\\treturn;\\n\\t}\\n\\n\\tfloat dif = 5. * pixelRatio * borderWidth / pointSize;\\n\\tfloat borderLevel = .748 - dif * .5;\\n\\tfloat charLevel = .748 + dif * .5;\\n\\n\\tfloat borderAmt = smoothstep(borderLevel - gamma, borderLevel + gamma, dist);\\n\\tfloat charAmt = smoothstep(charLevel - gamma, charLevel + gamma, dist);\\n\\n\\tvec4 color = borderColor;\\n\\tcolor.a *= borderAmt;\\n\\n\\tgl_FragColor = mix(color, charColor, charAmt);\\n}\\n\",pickVertex:\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 positionHi, positionLo;\\nattribute vec4 id;\\nattribute float size;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform vec4 pickOffset;\\nuniform float pixelRatio;\\n\\nvarying vec4 fragColor;\\n\\n\\nvec4 computePosition_1_0(vec2 posHi, vec2 posLo, vec2 scHi, vec2 scLo, vec2 trHi, vec2 trLo) {\\n  return vec4((posHi + trHi) * scHi\\n  \\t\\t\\t//FIXME: this thingy does not give noticeable precision gain, need test\\n            + (posLo + trLo) * scHi\\n            + (posHi + trHi) * scLo\\n            + (posLo + trLo) * scLo\\n            , 0, 1);\\n}\\n\\n\\nvoid main() {\\n  vec4 fragId = id + pickOffset;\\n\\n  fragId.y += floor(fragId.x / 256.0);\\n  fragId.x -= floor(fragId.x / 256.0) * 256.0;\\n\\n  fragId.z += floor(fragId.y / 256.0);\\n  fragId.y -= floor(fragId.y / 256.0) * 256.0;\\n\\n  fragId.w += floor(fragId.z / 256.0);\\n  fragId.z -= floor(fragId.z / 256.0) * 256.0;\\n\\n  fragColor = fragId / 255.0;\\n\\n  gl_PointSize = size * .25 * pixelRatio;\\n\\n  gl_Position = computePosition_1_0(\\n    positionHi, positionLo,\\n    scaleHi, scaleLo,\\n    translateHi, translateLo);\\n}\\n\",pickFragment:\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = fragColor;\\n}\\n\"}},{}],233:[function(t,e,r){arguments[4][84][0].apply(r,arguments)},{dup:84}],234:[function(t,e,r){arguments[4][212][0].apply(r,arguments)},{\"./lib/GLError\":235,\"./lib/create-attributes\":236,\"./lib/create-uniforms\":237,\"./lib/reflect\":238,\"./lib/runtime-reflect\":239,\"./lib/shader-cache\":240,dup:212}],235:[function(t,e,r){arguments[4][213][0].apply(r,arguments)},{dup:213}],236:[function(t,e,r){arguments[4][214][0].apply(r,arguments)},{\"./GLError\":235,dup:214}],237:[function(t,e,r){arguments[4][215][0].apply(r,arguments)},{\"./GLError\":235,\"./reflect\":238,dup:215}],238:[function(t,e,r){arguments[4][216][0].apply(r,arguments)},{dup:216}],239:[function(t,e,r){arguments[4][217][0].apply(r,arguments)},{dup:217}],240:[function(t,e,r){arguments[4][218][0].apply(r,arguments)},{\"./GLError\":235,dup:218,\"gl-format-compiler-error\":165,\"weakmap-shim\":562}],241:[function(t,e,r){\"use strict\";function n(t,e,r,n,a){a<=4*f?i(0,a-1,t,e,r,n):h(0,a-1,t,e,r,n)}function i(t,e,r,n,i,a){for(var o=t+1;o<=e;++o){for(var s=r[o],l=n[2*o],u=n[2*o+1],c=i[o],h=a[o],f=o;f>t;){var d=r[f-1],p=n[2*(f-1)];if((d-s||l-p)>=0)break;r[f]=d,n[2*f]=p,n[2*f+1]=n[2*f-1],i[f]=i[f-1],a[f]=a[f-1],f-=1}r[f]=s,n[2*f]=l,n[2*f+1]=u,i[f]=c,a[f]=h}}function a(t,e,r,n,i,a){var o=r[t],s=n[2*t],l=n[2*t+1],u=i[t],c=a[t];r[t]=r[e],n[2*t]=n[2*e],n[2*t+1]=n[2*e+1],i[t]=i[e],a[t]=a[e],r[e]=o,n[2*e]=s,n[2*e+1]=l,i[e]=u,a[e]=c}function o(t,e,r,n,i,a){r[t]=r[e],n[2*t]=n[2*e],n[2*t+1]=n[2*e+1],i[t]=i[e],a[t]=a[e]}function s(t,e,r,n,i,a,o){var s=n[t],l=i[2*t],u=i[2*t+1],c=a[t],h=o[t];n[t]=n[e],i[2*t]=i[2*e],i[2*t+1]=i[2*e+1],a[t]=a[e],o[t]=o[e],n[e]=n[r],i[2*e]=i[2*r],i[2*e+1]=i[2*r+1],a[e]=a[r],o[e]=o[r],n[r]=s,i[2*r]=l,i[2*r+1]=u,a[r]=c,o[r]=h}function l(t,e,r,n,i,a,o,s,l,u,c){s[t]=s[e],l[2*t]=l[2*e],l[2*t+1]=l[2*e+1],u[t]=u[e],c[t]=c[e],s[e]=r,l[2*e]=n,l[2*e+1]=i,u[e]=a,c[e]=o}function 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if(!c(it,P,O,R,F,r,n,d))for(;;){if(c(S,P,O,R,F,r,n,d)){c(S,L,C,I,z,r,n,d)?(s(it,T,S,r,n,d,p),++T,--S):(a(it,S,r,n,d,p),--S);break}if(--S<it)break}l(t,T-1,L,C,I,z,D,r,n,d,p),l(e,S+1,P,O,R,F,j,r,n,d,p),T-2-t<=f?i(t,T-2,r,n,d,p):h(t,T-2,r,n,d,p),e-(S+2)<=f?i(S+2,e,r,n,d,p):h(S+2,e,r,n,d,p),S-T<=f?i(T,S,r,n,d,p):h(T,S,r,n,d,p)}e.exports=n;var f=32},{}],242:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s){for(var l=r,u=r;u<n;++u){var c=t[2*u],h=t[2*u+1],f=e[u];i<=c&&c<=o&&a<=h&&h<=s&&(u===l?l+=1:(t[2*u]=t[2*l],t[2*u+1]=t[2*l+1],e[u]=e[l],t[2*l]=c,t[2*l+1]=h,e[l]=f,l+=1))}return l}function i(t,e,r){this.pixelSize=t,this.offset=e,this.count=r}function a(t,e,r,a){function l(i,a,o,s,u,c){var h=.5*o,f=s+1,d=u-s;r[_]=d,x[_++]=c;for(var p=0;p<2;++p)for(var m=0;m<2;++m){var v=i+p*h,g=a+m*h,y=n(t,e,f,u,v,g,v+h,g+h);if(y!==f){if(y-f>=Math.max(.9*d,32)){var b=u+s>>>1;l(v,g,h,f,b,c+1),f=b}l(v,g,h,f,y,c+1),f=y}}}var u=t.length>>>1;if(u<1)return[];for(var c=1/0,h=1/0,f=-1/0,d=-1/0,p=0;p<u;++p){var m=t[2*p],v=t[2*p+1];c=Math.min(c,m),f=Math.max(f,m),h=Math.min(h,v),d=Math.max(d,v),e[p]=p}c===f&&(f+=1+Math.abs(f)),h===d&&(d+=1+Math.abs(f));var g=1/(f-c),y=1/(d-h),b=Math.max(f-c,d-h);a=a||[0,0,0,0],a[0]=c,a[1]=h,a[2]=f,a[3]=d;var x=o.mallocInt32(u),_=0;l(c,h,b,0,u,0),s(x,t,e,r,u);for(var w=[],M=0,k=u,_=u-1;_>=0;--_){t[2*_]=(t[2*_]-c)*g,t[2*_+1]=(t[2*_+1]-h)*y;var A=x[_];A!==M&&(w.push(new i(b*Math.pow(.5,A),_+1,k-(_+1))),k=_+1,M=A)}return w.push(new i(b*Math.pow(.5,A+1),0,k)),o.free(x),w}var o=t(\"typedarray-pool\"),s=t(\"./lib/sort\");e.exports=a},{\"./lib/sort\":241,\"typedarray-pool\":541}],243:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.sizeBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.charBuffer=s,this.pointCount=0,this.pickOffset=0,this.points=null,this.scales=[],this.xCoords=[],this.charCanvas=document.createElement(\"canvas\"),this.charTexture=m(this.plot.gl,this.charCanvas),this.charStep=400,this.charFit=.255,this.snapThreshold=1e4,this.paletteTexture=m(this.plot.gl,[256,1])}function i(){var t=this.plot,e=t.viewBox,r=t.dataBox,n=t.pixelRatio,i=r[2]-r[0],a=r[3]-r[1],u=2/i,c=2/a,h=-r[0]-.5*i,f=-r[1]-.5*a;_[0]=u,w[0]=u-_[0],_[1]=c,w[1]=c-_[1],M[0]=h,k[0]=h-M[0],M[1]=f,k[1]=f-M[1];var d=e[2]-e[0],p=e[3]-e[1];o=Math.min(i/d,a/p),A[0]=2*n/d,A[1]=2*n/p,s=r[0],l=r[2]}function a(t,e){var r=t.gl,i=u(r,f.vertex,f.fragment),a=u(r,f.pickVertex,f.pickFragment),o=c(r),s=c(r),l=c(r),h=c(r),d=c(r),p=new n(t,i,a,o,s,l,h,d);return p.update(e),t.addObject(p),p}e.exports=a;var o,s,l,u=t(\"gl-shader\"),c=t(\"gl-buffer\"),h=t(\"typedarray-pool\"),f=t(\"./lib/shaders\"),d=t(\"snap-points-2d\"),p=t(\"font-atlas-sdf\"),m=t(\"gl-texture2d\"),v=t(\"color-id\"),g=t(\"ndarray\"),y=t(\"clamp\"),b=t(\"binary-search-bounds\"),x=n.prototype,_=new Float32Array([0,0]),w=new Float32Array([0,0]),M=new Float32Array([0,0]),k=new Float32Array([0,0]),A=[0,0],T=[0,0,0,0];x.drawPick=function(t){var e=void 0!==t,r=this.plot,n=this.pointCount,a=n>this.snapThreshold;if(!n)return t;i.call(this);var u=r.gl,c=e?this.pickShader:this.shader,h=u.isEnabled(u.BLEND);if(c.bind(),e){this.pickOffset=t;for(var f=0;f<4;++f)T[f]=t>>8*f&255;c.uniforms.pickOffset=T,this.idBuffer.bind(),c.attributes.id.pointer(u.UNSIGNED_BYTE,!1)}else u.blendFuncSeparate(u.SRC_ALPHA,u.ONE_MINUS_SRC_ALPHA,u.ONE,u.ONE_MINUS_SRC_ALPHA),u.blendColor(0,0,0,1),h||u.enable(u.BLEND),this.colorBuffer.bind(),c.attributes.color.pointer(u.UNSIGNED_BYTE,!1),this.charBuffer.bind(),c.attributes.char.pointer(u.UNSIGNED_BYTE,!1),c.uniforms.chars=this.charTexture.bind(0),c.uniforms.charsShape=[this.charCanvas.width,this.charCanvas.height],c.uniforms.charsStep=this.charStep,c.uniforms.palette=this.paletteTexture.bind(1);this.sizeBuffer.bind(),c.attributes.size.pointer(u.FLOAT,!1,8,0),e||c.attributes.border.pointer(u.FLOAT,!1,8,4),this.positionBuffer.bind(),c.attributes.positionHi.pointer(u.FLOAT,!1,16,0),c.attributes.positionLo.pointer(u.FLOAT,!1,16,8),c.uniforms.pixelRatio=r.pixelRatio,c.uniforms.scaleHi=_,c.uniforms.scaleLo=w,c.uniforms.translateHi=M,c.uniforms.translateLo=k,c.uniforms.viewBox=r.viewBox;var d=this.scales;if(a)for(var p=d.length-1;p>=0;p--){var m=d[p];if(!(m.pixelSize&&m.pixelSize<1.25*o&&p>1)){var v=m.offset,g=m.count+v,y=b.ge(this.xCoords,s,v,g-1),x=b.lt(this.xCoords,l,y,g-1)+1;x>y&&u.drawArrays(u.POINTS,y,x-y)}}else u.drawArrays(u.POINTS,0,n);if(e)return t+n;h?u.blendFunc(u.ONE,u.ONE_MINUS_SRC_ALPHA):u.disable(u.BLEND)},x.draw=x.drawPick,x.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}},x.update=function(t){t=t||{};var e=t.positions||[],r=t.colors||[],n=t.glyphs||[],i=t.sizes||[],a=t.borderWidths||[],o=t.borderColors||[],s=this.plot.gl,l=this.pointCount,u=l>this.snapThreshold;if(null!=t.positions){this.points=e,l=this.points.length/2,u=l>this.snapThreshold;var c=h.mallocFloat32(2*l),f=h.mallocFloat64(2*l),m=h.mallocUint32(l),b=h.mallocFloat32(4*l);f.set(this.points),u&&(this.i2idx&&h.free(this.i2idx),this.i2idx=h.mallocInt32(l),this.scales=d(f,this.i2idx,c)),this.pointCount=l;for(var x=0;x<l;++x){var _=u?this.i2idx[x]:x;m[x]=_;var w=e[2*_],M=e[2*_+1];b[4*x]=w,b[4*x+1]=M,b[4*x+2]=w-b[4*x],b[4*x+3]=M-b[4*x+1],this.xCoords[x]=w}this.idBuffer.update(m),this.positionBuffer.update(b),h.free(b),h.free(m),h.free(f),h.free(c)}for(var k=h.mallocFloat32(2*l),A=h.mallocUint8(2*l),T=h.mallocUint8(2*l),S={},E=[],L=[],C=[],x=0,I=l,z=0;x<I;++x){var D=[255*r[4*x],255*r[4*x+1],255*r[4*x+2],255*r[4*x+3]],P=v(D,!1);null==S[P]&&(S[P]=z++,L.push(D[0]),L.push(D[1]),L.push(D[2]),L.push(D[3])),E.push(P),o&&o.length&&(D=[255*o[4*x],255*o[4*x+1],255*o[4*x+2],255*o[4*x+3]],P=v(D,!1),null==S[P]&&(S[P]=z++,L.push(D[0]),L.push(D[1]),L.push(D[2]),L.push(D[3])),C.push(P))}for(var O={},x=0,I=l,z=0;x<I;x++){var R=n[x];null==O[R]&&(O[R]=z++)}for(var F=0,x=0,I=i.length;x<I;++x)i[x]>F&&(F=i[x]);var j=this.charStep;this.charStep=y(Math.ceil(4*F),128,768);var N=Object.keys(O),B=this.charStep,U=Math.floor(B/2),V=s.getParameter(s.MAX_TEXTURE_SIZE),H=V/B*(V/B),q=Math.min(V,B*N.length),G=Math.min(V,B*Math.ceil(B*N.length/V)),Y=Math.floor(q/B);N.length>H&&console.warn(\"gl-scatter2d-fancy: number of characters is more than maximum texture size. Try reducing it.\"),this.chars&&this.chars+\"\"==N+\"\"&&this.charStep==j||(this.charCanvas=p({canvas:this.charCanvas,family:\"sans-serif\",size:U,shape:[q,G],step:[B,B],chars:N,align:!0,fit:this.charFit}),this.chars=N);for(var x=0;x<l;++x){var _=u?this.i2idx[x]:x,W=i[_],X=a[_];k[2*x]=2*W,k[2*x+1]=X;var P=E[_],Z=S[P];A[2*x]=Z;var J=C[_],K=S[J];A[2*x+1]=K;var R=n[_],Q=O[R];T[2*x+1]=Math.floor(Q/Y),T[2*x]=Q%Y}this.sizeBuffer.update(k),this.colorBuffer.update(A),this.charBuffer.update(T),this.charTexture.shape=[this.charCanvas.width,this.charCanvas.height],this.charCanvas&&this.charCanvas.width&&this.charTexture.setPixels(this.charCanvas),this.paletteTexture.setPixels(g(L.slice(0,1024),[256,1,4])),h.free(k),h.free(A),h.free(T)},x.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.sizeBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.charBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":232,\"binary-search-bounds\":233,clamp:88,\"color-id\":92,\"font-atlas-sdf\":134,\"gl-buffer\":156,\"gl-shader\":234,\"gl-texture2d\":267,ndarray:467,\"snap-points-2d\":242,\"typedarray-pool\":541}],244:[function(t,e,r){r.pointVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 positionHi, positionLo;\\nattribute float weight;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform float pointSize, useWeight;\\n\\nvarying float fragWeight;\\n\\n\\nvec4 pfx_1_0(vec2 scaleHi, vec2 scaleLo, vec2 translateHi, vec2 translateLo, vec2 positionHi, vec2 positionLo) {\\n  return vec4((positionHi + translateHi) * scaleHi\\n            + (positionLo + translateLo) * scaleHi\\n            + (positionHi + translateHi) * scaleLo\\n            + (positionLo + translateLo) * scaleLo, 0.0, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position = pfx_1_0(scaleHi, scaleLo, translateHi, translateLo, positionHi, positionLo);\\n  gl_PointSize = pointSize;\\n  fragWeight = mix(1.0, weight, useWeight);\\n}\",r.pointFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\n\\nvarying float fragWeight;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float radius = length(2.0*gl_PointCoord.xy-1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  vec4 baseColor = mix(borderColor, color, smoothStep(radius, centerFraction));\\n  float alpha = 1.0 - pow(1.0 - baseColor.a, fragWeight);\\n  gl_FragColor = vec4(baseColor.rgb * alpha, alpha);\\n}\\n\",r.pickVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nvec4 pfx_1_0(vec2 scaleHi, vec2 scaleLo, vec2 translateHi, vec2 translateLo, vec2 positionHi, vec2 positionLo) {\\n  return vec4((positionHi + translateHi) * scaleHi\\n            + (positionLo + translateLo) * scaleHi\\n            + (positionHi + translateHi) * scaleLo\\n            + (positionLo + translateLo) * scaleLo, 0.0, 1.0);\\n}\\n\\nattribute vec2 positionHi, positionLo;\\nattribute vec4 pickId;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_Position = pfx_1_0(scaleHi, scaleLo, translateHi, translateLo, positionHi, positionLo);\\n  gl_PointSize = pointSize;\\n  fragId = id;\\n}\",r.pickFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\"},{}],245:[function(t,e,r){arguments[4][84][0].apply(r,arguments)},{dup:84}],246:[function(t,e,r){arguments[4][241][0].apply(r,arguments)},{dup:241}],247:[function(t,e,r){arguments[4][242][0].apply(r,arguments)},{\"./lib/sort\":246,dup:242,\"typedarray-pool\":541}],248:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o){this.plot=t,this.positionBufferHi=e,this.positionBufferLo=r,this.pickBuffer=n,this.weightBuffer=i,this.shader=a,this.pickShader=o,this.scales=[],this.size=12,this.borderSize=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0,this.points=null,this.xCoords=null,this.snapPoints=!0}function i(t,e){var r=t.gl,i=o(r),s=o(r),l=o(r),u=o(r),h=a(r,c.pointVertex,c.pointFragment),f=a(r,c.pickVertex,c.pickFragment),d=new n(t,i,s,l,u,h,f);return d.update(e),t.addObject(d),d}var a=t(\"gl-shader\"),o=t(\"gl-buffer\"),s=t(\"binary-search-bounds\"),l=t(\"snap-points-2d\"),u=t(\"typedarray-pool\"),c=t(\"./lib/shader\"),h=t(\"array-normalize\"),f=t(\"array-bounds\");e.exports=i;var d=n.prototype,p=new Float32Array(2),m=new Float32Array(2),v=new Float32Array(2),g=new Float32Array(2),y=[0,0,0,0];d.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBufferHi.dispose(),this.positionBufferLo.dispose(),this.pickBuffer.dispose(),this.xCoords&&u.free(this.xCoords),this.plot.removeObject(this)},d.update=function(t){function e(e,r){return e in t?t[e]:r}if(t=t||{},this.size=e(\"size\",12),this.color=e(\"color\",[1,0,0,1]).slice(),this.borderSize=e(\"borderSize\",1),this.borderColor=e(\"borderColor\",[0,0,0,1]).slice(),this.snapPoints=e(\"snapPoints\",!0),null!=t.positions){this.xCoords&&u.free(this.xCoords),this.points=t.positions;var r=this.points.length>>>1,n=u.mallocInt32(r),i=u.mallocFloat32(r),a=u.mallocFloat64(2*r);if(a.set(this.points),this.snapPoints)this.scales=l(a,n,i,this.bounds);else{this.bounds=f(a,2),h(a,2,this.bounds);for(var o=0;o<r;o++)n[o]=o,i[o]=1}var s=u.mallocFloat64(r),c=u.mallocFloat32(2*r),d=u.mallocFloat32(2*r);c.set(a);for(var o=0,p=0;o<r;o++,p+=2)d[p]=a[p]-c[p],d[p+1]=a[p+1]-c[p+1],s[o]=a[p];this.positionBufferHi.update(c),this.positionBufferLo.update(d),this.pickBuffer.update(n),this.weightBuffer.update(i),u.free(c),u.free(d),u.free(i),u.free(a),u.free(n),this.xCoords=s,this.pointCount=r,this.pickOffset=0}},d.draw=function(t){var e=void 0!==t,r=this.plot,n=e?this.pickShader:this.shader,i=this.scales,a=this.positionBufferHi,o=this.positionBufferLo,s=this.pickBuffer,l=this.bounds,u=this.size,c=this.borderSize,h=r.gl,f=e?r.pickPixelRatio:r.pixelRatio,d=r.viewBox,b=r.dataBox;if(0===this.pointCount)return t;var x=l[2]-l[0],_=l[3]-l[1],w=b[2]-b[0],M=b[3]-b[1],k=(d[2]-d[0])*f/r.pixelRatio,A=(d[3]-d[1])*f/r.pixelRatio,T=this.pixelSize=Math.min(w/k,M/A),S=2*x/w,E=2*_/M;p[0]=S,p[1]=E,m[0]=S-p[0],m[1]=E-p[1];var L=(l[0]-b[0]-.5*w)/x,C=(l[1]-b[1]-.5*M)/_;v[0]=L,v[1]=C,g[0]=L-v[0],g[1]=C-v[1],n.bind(),n.uniforms.scaleHi=p,n.uniforms.scaleLo=m,n.uniforms.translateHi=v,n.uniforms.translateLo=g,n.uniforms.color=this.color,n.uniforms.borderColor=this.borderColor,n.uniforms.pointSize=f*(u+c),n.uniforms.centerFraction=0===this.borderSize?2:u/(u+c+1.25),a.bind(),n.attributes.positionHi.pointer(),o.bind(),n.attributes.positionLo.pointer(),e?(this.pickOffset=t,y[0]=255&t,y[1]=t>>8&255,y[2]=t>>16&255,y[3]=t>>24&255,n.uniforms.pickOffset=y,s.bind(),n.attributes.pickId.pointer(h.UNSIGNED_BYTE)):(n.uniforms.useWeight=1,this.weightBuffer.bind(),n.attributes.weight.pointer());var I=!0;if(this.snapPoints)for(var z=i.length-1;z>=0;z--){var D=i[z];if(!(D.pixelSize<T&&z>1)){var P=this.getVisibleRange(D),O=P[0],R=P[1];R>O&&h.drawArrays(h.POINTS,O,R-O),!e&&I&&(I=!1,n.uniforms.useWeight=0)}}else h.drawArrays(h.POINTS,0,this.pointCount);return t+this.pointCount},d.getVisibleRange=function(t){var e=this.plot.dataBox,r=this.bounds,n=this.pixelSize,i=this.size,a=this.plot.pixelRatio,o=r[2]-r[0];r[3],r[1];if(!t)for(var t,l=this.scales.length-1;l>=0&&(t=this.scales[l],t.pixelSize<n&&l>1);l--);var u=this.xCoords,c=(e[0]-r[0]-n*i*a)/o,h=(e[2]-r[0]+n*i*a)/o,f=t.offset,d=t.count+f,p=s.ge(u,c,f,d-1);return[p,s.lt(u,h,p,d-1)+1]},d.drawPick=d.draw,d.pick=function(t,e,r){var n=r-this.pickOffset;return n<0||n>=this.pointCount?null:{object:this,pointId:n,dataCoord:[this.points[2*n],this.points[2*n+1]]}}},{\"./lib/shader\":244,\"array-bounds\":44,\"array-normalize\":45,\"binary-search-bounds\":245,\"gl-buffer\":156,\"gl-shader\":255,\"snap-points-2d\":247,\"typedarray-pool\":541}],249:[function(t,e,r){\"use strict\";function n(t,e){var r=a[e];if(r||(r=a[e]={}),t in r)return r[t];for(var n=i(t,{textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e}),o=i(t,{triangles:!0,textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e}),s=[[1/0,1/0],[-1/0,-1/0]],l=0;l<n.positions.length;++l)for(var u=n.positions[l],c=0;c<2;++c)s[0][c]=Math.min(s[0][c],u[c]),s[1][c]=Math.max(s[1][c],u[c]);return r[t]=[o,n,s]}var i=t(\"vectorize-text\");e.exports=n;var a={}},{\"vectorize-text\":554}],250:[function(t,e,r){function n(t,e){var r=i(t,e),n=r.attributes;return n.position.location=0,n.color.location=1,n.glyph.location=2,n.id.location=3,r}var i=t(\"gl-shader\"),a=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\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(any(lessThan(position, clipBounds[0]))   || \\n     any(greaterThan(position, clipBounds[1])) ) {\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 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}\",o=\"precision mediump float;\\n#define GLSLIFY 1\\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(any(lessThan(position, clipBounds[0])) || any(greaterThan(position, clipBounds[1]))) {\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 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}\",s=\"precision mediump float;\\n#define GLSLIFY 1\\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(any(lessThan(position, clipBounds[0]))   ||\\n     any(greaterThan(position, clipBounds[1])) ) {\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 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\",l=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if(any(lessThan(dataCoordinate, fragClipBounds[0]))   ||\\n     any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\\n    discard;\\n  } else {\\n    gl_FragColor = interpColor * opacity;\\n  }\\n}\\n\",u=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if(any(lessThan(dataCoordinate, fragClipBounds[0]))   || \\n     any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\\n    discard;\\n  } else {\\n    gl_FragColor = vec4(pickGroup, pickId.bgr);\\n  }\\n}\",c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:a,fragment:l,attributes:c},f={vertex:o,fragment:l,attributes:c},d={vertex:s,fragment:l,attributes:c},p={vertex:a,fragment:u,attributes:c},m={vertex:o,fragment:u,attributes:c},v={vertex:s,fragment:u,attributes:c};r.createPerspective=function(t){return n(t,h)},r.createOrtho=function(t){return n(t,f)},r.createProject=function(t){return n(t,d)},r.createPickPerspective=function(t){return n(t,p)},r.createPickOrtho=function(t){return n(t,m)},r.createPickProject=function(t){return n(t,v)}},{\"gl-shader\":255}],251:[function(t,e,r){\"use strict\";function n(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 i(t,e,r,i){return n(i,i,r),n(i,i,e),n(i,i,t)}function a(t,e){this.index=t,this.dataCoordinate=this.position=e}function o(t,e,r,n,i,o,s,l,u,c,h,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=o,this.glyphBuffer=s,this.idBuffer=l,this.vao=u,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=h,this.pickProjectShader=f,this.points=[],this._selectResult=new a(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}function s(t){return t[0]=t[1]=t[2]=0,t}function l(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function u(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function c(t){for(var e=L,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}function h(t,e,r,n,a){var o,h=e.axesProject,f=e.gl,d=t.uniforms,p=r.model||x,m=r.view||x,v=r.projection||x,y=e.axesBounds,b=c(e.clipBounds);o=e.axes?e.axes.lastCubeProps.axis:[1,1,1],w[0]=2/f.drawingBufferWidth,w[1]=2/f.drawingBufferHeight,t.bind(),d.view=m,d.projection=v,d.screenSize=w,d.highlightId=e.highlightId,d.highlightScale=e.highlightScale,d.clipBounds=b,\n",
       "d.pickGroup=e.pickId/255,d.pixelRatio=e.pixelRatio;for(var _=0;_<3;++_)if(h[_]&&e.projectOpacity[_]<1===n){d.scale=e.projectScale[_],d.opacity=e.projectOpacity[_];for(var L=S,C=0;C<16;++C)L[C]=0;for(var C=0;C<4;++C)L[5*C]=1;L[5*_]=0,o[_]<0?L[12+_]=y[0][_]:L[12+_]=y[1][_],g(L,p,L),d.model=L;var I=(_+1)%3,z=(_+2)%3,D=s(M),P=s(k);D[I]=1,P[z]=1;var O=i(v,m,p,l(A,D)),R=i(v,m,p,l(T,P));if(Math.abs(O[1])>Math.abs(R[1])){var F=O;O=R,R=F,F=D,D=P,P=F;var j=I;I=z,z=j}O[0]<0&&(D[I]=-1),R[1]>0&&(P[z]=-1);for(var N=0,B=0,C=0;C<4;++C)N+=Math.pow(p[4*I+C],2),B+=Math.pow(p[4*z+C],2);D[I]/=Math.sqrt(N),P[z]/=Math.sqrt(B),d.axes[0]=D,d.axes[1]=P,d.fragClipBounds[0]=u(E,b[0],_,-1e8),d.fragClipBounds[1]=u(E,b[1],_,1e8),e.vao.draw(f.TRIANGLES,e.vertexCount),e.lineWidth>0&&(f.lineWidth(e.lineWidth),e.vao.draw(f.LINES,e.lineVertexCount,e.vertexCount))}}function f(t,e,r,n,i,a){var o=r.gl;if(r.vao.bind(),i===r.opacity<1||a){t.bind();var s=t.uniforms;s.model=n.model||x,s.view=n.view||x,s.projection=n.projection||x,w[0]=2/o.drawingBufferWidth,w[1]=2/o.drawingBufferHeight,s.screenSize=w,s.highlightId=r.highlightId,s.highlightScale=r.highlightScale,s.fragClipBounds=z,s.clipBounds=r.axes.bounds,s.opacity=r.opacity,s.pickGroup=r.pickId/255,s.pixelRatio=r.pixelRatio,r.vao.draw(o.TRIANGLES,r.vertexCount),r.lineWidth>0&&(o.lineWidth(r.lineWidth),r.vao.draw(o.LINES,r.lineVertexCount,r.vertexCount))}h(e,r,n,i,a),r.vao.unbind()}function d(t){var e=t.gl,r=y.createPerspective(e),n=y.createOrtho(e),i=y.createProject(e),a=y.createPickPerspective(e),s=y.createPickOrtho(e),l=y.createPickProject(e),u=p(e),c=p(e),h=p(e),f=p(e),d=m(e,[{buffer:u,size:3,type:e.FLOAT},{buffer:c,size:4,type:e.FLOAT},{buffer:h,size:2,type:e.FLOAT},{buffer:f,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new o(e,r,n,i,u,c,h,f,d,a,s,l);return v.update(t),v}var p=t(\"gl-buffer\"),m=t(\"gl-vao\"),v=t(\"typedarray-pool\"),g=t(\"gl-mat4/multiply\"),y=t(\"./lib/shaders\"),b=t(\"./lib/glyphs\"),x=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];e.exports=d;var _=o.prototype;_.pickSlots=1,_.setPickBase=function(t){this.pickId=t},_.isTransparent=function(){if(this.opacity<1)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectOpacity[t]<1)return!0;return!1},_.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectOpacity[t]>=1)return!0;return!1};var w=[0,0],M=[0,0,0],k=[0,0,0],A=[0,0,0,1],T=[0,0,0,1],S=x.slice(),E=[0,0,0],L=[[0,0,0],[0,0,0]],C=[-1e8,-1e8,-1e8],I=[1e8,1e8,1e8],z=[C,I];_.draw=function(t){f(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,!1,!1)},_.drawTransparent=function(t){f(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,!0,!1)},_.drawPick=function(t){f(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,!1,!0)},_.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},_.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},_.update=function(t){if(t=t||{},\"perspective\"in t&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(\"projectOpacity\"in t)if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{var r=+t.projectOpacity;this.projectOpacity=[r,r,r]}\"opacity\"in t&&(this.opacity=t.opacity),this.dirty=!0;var n=t.position;if(n){var i=t.font||\"normal\",a=t.alignment||[0,0],o=[1/0,1/0,1/0],s=[-1/0,-1/0,-1/0],l=t.glyph,u=t.color,c=t.size,h=t.angle,f=t.lineColor,d=0,p=0,m=0,g=n.length;t:for(var y=0;y<g;++y){for(var x=n[y],_=0;_<3;++_)if(isNaN(x[_])||!isFinite(x[_]))continue t;var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b(\"\\u25cf\",i);var M=w[0],k=w[1],A=w[2];p+=3*M.cells.length,m+=2*k.edges.length}var T=p+m,S=v.mallocFloat(3*T),E=v.mallocFloat(4*T),L=v.mallocFloat(2*T),C=v.mallocUint32(T),I=[0,a[1]],z=0,D=p,P=[0,0,0,1],O=[0,0,0,1],R=Array.isArray(u)&&Array.isArray(u[0]),F=Array.isArray(f)&&Array.isArray(f[0]);t:for(var y=0;y<g;++y){for(var x=n[y],_=0;_<3;++_){if(isNaN(x[_])||!isFinite(x[_])){d+=1;continue t}s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_])}var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b(\"\\u25cf\",i);var M=w[0],k=w[1],A=w[2];if(Array.isArray(u)){var j;if(j=R?u[y]:u,3===j.length){for(var _=0;_<3;++_)P[_]=j[_];P[3]=1}else if(4===j.length)for(var _=0;_<4;++_)P[_]=j[_]}else P[0]=P[1]=P[2]=0,P[3]=1;if(Array.isArray(f)){var j;if(j=F?f[y]:f,3===j.length){for(var _=0;_<3;++_)O[_]=j[_];O[_]=1}else if(4===j.length)for(var _=0;_<4;++_)O[_]=j[_]}else O[0]=O[1]=O[2]=0,O[3]=1;var N=.5;Array.isArray(c)?N=+c[y]:c?N=+c:this.useOrtho&&(N=12);var B=0;Array.isArray(h)?B=+h[y]:h&&(B=+h);for(var U=Math.cos(B),V=Math.sin(B),x=n[y],_=0;_<3;++_)s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_]);a[0]<0?I[0]=a[0]*(1+A[1][0]):a[0]>0&&(I[0]=-a[0]*(1+A[0][0]));for(var H=M.cells,q=M.positions,_=0;_<H.length;++_)for(var G=H[_],Y=0;Y<3;++Y){for(var W=0;W<3;++W)S[3*z+W]=x[W];for(var W=0;W<4;++W)E[4*z+W]=P[W];C[z]=d;var X=q[G[Y]];L[2*z]=N*(U*X[0]-V*X[1]+I[0]),L[2*z+1]=N*(V*X[0]+U*X[1]+I[1]),z+=1}for(var H=k.edges,q=k.positions,_=0;_<H.length;++_)for(var G=H[_],Y=0;Y<2;++Y){for(var W=0;W<3;++W)S[3*D+W]=x[W];for(var W=0;W<4;++W)E[4*D+W]=O[W];C[D]=d;var X=q[G[Y]];L[2*D]=N*(U*X[0]-V*X[1]+I[0]),L[2*D+1]=N*(V*X[0]+U*X[1]+I[1]),D+=1}d+=1}this.vertexCount=p,this.lineVertexCount=m,this.pointBuffer.update(S),this.colorBuffer.update(E),this.glyphBuffer.update(L),this.idBuffer.update(new 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n(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}function i(t,e){var r=t.gl,i=o(r,[0,0,0,1,1,0,1,1]),l=a(r,s.boxVertex,s.boxFragment),u=new n(t,i,l);return u.update(e),t.addOverlay(u),u}var a=t(\"gl-shader\"),o=t(\"gl-buffer\"),s=t(\"./lib/shaders\");e.exports=i;var l=n.prototype;l.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,u=t.viewBox,c=t.pixelRatio,h=(e[0]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],f=(e[1]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1],d=(e[2]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],p=(e[3]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1];if(h=Math.max(h,u[0]),f=Math.max(f,u[1]),d=Math.min(d,u[2]),p=Math.min(p,u[3]),!(d<h||p<f)){o.bind();var 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n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}function a(t,e){return new i(t,o(t,e),s.mallocUint8(e[0]*e[1]*4))}e.exports=a;var o=t(\"gl-fbo\"),s=t(\"typedarray-pool\"),l=t(\"ndarray\"),u=t(\"bit-twiddle\").nextPow2,c=t(\"cwise/lib/wrapper\")({args:[\"array\",{offset:[0,0,1],array:0},{offset:[0,0,2],array:0},{offset:[0,0,3],array:0},\"scalar\",\"scalar\",\"index\"],pre:{body:\"{this_closestD2=1e8,this_closestX=-1,this_closestY=-1}\",args:[],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[]},body:{body:\"{if(_inline_46_arg0_<255||_inline_46_arg1_<255||_inline_46_arg2_<255||_inline_46_arg3_<255){var 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this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){s.free(this.buffer);for(var n=this.buffer=s.mallocUint8(u(r*e*4)),i=0;i<r*e*4;++i)n[i]=255}return t}}}),h.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},h.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},h.query=function(t,e,r){if(!this.gl)return null;var i=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var a=0|Math.min(Math.max(t-r,0),i[0]),o=0|Math.min(Math.max(t+r,0),i[0]),s=0|Math.min(Math.max(e-r,0),i[1]),u=0|Math.min(Math.max(e+r,0),i[1]);if(o<=a||u<=s)return null;var h=[o-a,u-s],f=l(this.buffer,[h[0],h[1],4],[4,4*i[0],1],4*(a+i[0]*s)),d=c(f.hi(h[0],h[1],1),r,r),p=d[0],m=d[1];return 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o=t(\"./lib/create-uniforms\"),s=t(\"./lib/create-attributes\"),l=t(\"./lib/reflect\"),u=t(\"./lib/shader-cache\"),c=t(\"./lib/runtime-reflect\"),h=t(\"./lib/GLError\"),f=n.prototype;f.bind=function(){this.program||this._relink(),this.gl.useProgram(this.program)},f.dispose=function(){this._fref&&this._fref.dispose(),this._vref&&this._vref.dispose(),this.attributes=this.types=this.vertShader=this.fragShader=this.program=this._relink=this._fref=this._vref=null},f.update=function(t,e,r,n){function a(){d.program=u.program(p,d._vref,d._fref,x,_);for(var t=0;t<r.length;++t)E[t]=p.getUniformLocation(d.program,r[t].name)}if(!e||1===arguments.length){var f=t;t=f.vertex,e=f.fragment,r=f.uniforms,n=f.attributes}var d=this,p=d.gl,m=d._vref;d._vref=u.shader(p,p.VERTEX_SHADER,t),m&&m.dispose(),d.vertShader=d._vref.shader;var v=this._fref;if(d._fref=u.shader(p,p.FRAGMENT_SHADER,e),v&&v.dispose(),d.fragShader=d._fref.shader,!r||!n){var g=p.createProgram();if(p.attachShader(g,d.fragShader),p.attachShader(g,d.vertShader),p.linkProgram(g),!p.getProgramParameter(g,p.LINK_STATUS)){var y=p.getProgramInfoLog(g);throw new h(y,\"Error linking program:\"+y)}r=r||c.uniforms(p,g),n=n||c.attributes(p,g),p.deleteProgram(g)}n=n.slice(),n.sort(i);for(var b=[],x=[],_=[],w=0;w<n.length;++w){var M=n[w];if(M.type.indexOf(\"mat\")>=0){for(var k=0|M.type.charAt(M.type.length-1),A=new Array(k),T=0;T<k;++T)A[T]=_.length,x.push(M.name+\"[\"+T+\"]\"),\"number\"==typeof M.location?_.push(M.location+T):Array.isArray(M.location)&&M.location.length===k&&\"number\"==typeof M.location[T]?_.push(0|M.location[T]):_.push(-1);b.push({name:M.name,type:M.type,locations:A})}else b.push({name:M.name,type:M.type,locations:[_.length]}),x.push(M.name),\"number\"==typeof M.location?_.push(0|M.location):_.push(-1)}for(var S=0,w=0;w<_.length;++w)if(_[w]<0){for(;_.indexOf(S)>=0;)S+=1;_[w]=S}var E=new 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n(t){this.plot=t,this.enable=[!0,!0,!1,!1],this.width=[1,1,1,1],this.color=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.center=[1/0,1/0]}function i(t,e){var r=new n(t);return r.update(e),t.addOverlay(r),r}e.exports=i;var a=n.prototype;a.update=function(t){t=t||{},this.enable=(t.enable||[!0,!0,!1,!1]).slice(),this.width=(t.width||[1,1,1,1]).slice(),this.color=(t.color||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]).map(function(t){return t.slice()}),this.center=(t.center||[1/0,1/0]).slice(),this.plot.setOverlayDirty()},a.draw=function(){var t=this.enable,e=this.width,r=this.color,n=this.center,i=this.plot,a=i.line,o=i.dataBox,s=i.viewBox;if(a.bind(),o[0]<=n[0]&&n[0]<=o[2]&&o[1]<=n[1]&&n[1]<=o[3]){var l=s[0]+(n[0]-o[0])/(o[2]-o[0])*(s[2]-s[0]),u=s[1]+(n[1]-o[1])/(o[3]-o[1])*(s[3]-s[1]);t[0]&&a.drawLine(l,u,s[0],u,e[0],r[0]),t[1]&&a.drawLine(l,u,l,s[1],e[1],r[1]),t[2]&&a.drawLine(l,u,s[2],u,e[2],r[2]),t[3]&&a.drawLine(l,u,l,s[3],e[3],r[3])}},a.dispose=function(){this.plot.removeOverlay(this)}},{}],263:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\");e.exports=function(t){return n(t,\"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 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s=[t,e,r,0,0,0,1];s[n+3]=1,s[n]=a,i.push.apply(i,s),s[6]=-1,i.push.apply(i,s),s[n]=o,i.push.apply(i,s),i.push.apply(i,s),s[6]=1,i.push.apply(i,s),s[n]=a,i.push.apply(i,s)}var i=[];r(0,0,0,0,0,1),r(0,0,0,1,0,1),r(0,0,0,2,0,1),r(1,0,0,1,-1,1),r(1,0,0,2,-1,1),r(0,1,0,0,-1,1),r(0,1,0,2,-1,1),r(0,0,1,0,-1,1),r(0,0,1,1,-1,1);var l=a(t,i),u=o(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=s(t);c.attributes.position.location=0,c.attributes.color.location=1,c.attributes.weight.location=2;var h=new n(t,l,u,c);return h.update(e),h}var a=t(\"gl-buffer\"),o=t(\"gl-vao\"),s=t(\"./shaders/index\");e.exports=i;var l=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],u=n.prototype,c=[0,0,0],h=[0,0,0],f=[0,0];u.isTransparent=function(){return!1},u.drawTransparent=function(t){},u.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var i,a=t.model||l,o=t.view||l,s=t.projection||l;this.axes&&(i=this.axes.lastCubeProps.axis);for(var u=c,d=h,p=0;p<3;++p)i&&i[p]<0?(u[p]=this.bounds[0][p],d[p]=this.bounds[1][p]):(u[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=o,n.uniforms.projection=s,n.uniforms.coordinates=[this.position,u,d],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(var p=0;p<3;++p)n.uniforms.lineWidth=this.lineWidth[p]*this.pixelRatio,this.enabled[p]&&(r.draw(e.TRIANGLES,6,6*p),this.drawSides[p]&&r.draw(e.TRIANGLES,12,18+12*p));r.unbind()},u.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},u.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":263,\"gl-buffer\":156,\"gl-vao\":271}],265:[function(t,e,r){var n=t(\"gl-shader\"),i=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\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  worldCoordinate = vec3(uv.zw, f.x);\\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\",a=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution_2_0(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\\n\\n\\nfloat beckmannSpecular_1_1(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution_2_0(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\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 > 0.0 ||\\n    any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\\n    discard;\\n  }\\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_1_1(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 = step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) + 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\",o=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\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  vec4 worldPosition = model * vec4(dataCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z = clipPosition.z + zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f;\\n  kill = -1.0;\\n  worldCoordinate = dataCoordinate;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don'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\",s=\"precision mediump float;\\n#define GLSLIFY 1\\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 > 0.0 ||\\n    any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\\n    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\";r.createShader=function(t){var e=n(t,i,a,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);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,i,s,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);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,o,a,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,o,s,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":255}],266:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}function i(t){var e=x([y({colormap:t,nshades:R,format:\"rgba\"}).map(function(t){return[t[0],t[1],t[2],255*t[3]]})]);return b.divseq(e,255),e}function a(t,e,r,i,a,o,s,l,u,c,h,f,d,p){this.gl=t,this.shape=e,this.bounds=r,this.intensityBounds=[],this._shader=i,this._pickShader=a,this._coordinateBuffer=o,this._vao=s,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=f,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new n([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=p,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=[_(g.mallocFloat(1024),[0,0]),_(g.mallocFloat(1024),[0,0]),_(g.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.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}function o(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||j,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=N.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],M(l,t.model,l);var u=N.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return N.showSurface=o,N.showContour=s,N}function s(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=B;n.model=t.model||D,n.view=t.view||D,n.projection=t.projection||D,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.contourColor=this.contourColor[0],n.inverseModel=k(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],s=0;s<3;++s)a[s]=Math.min(Math.max(this.clipBounds[i][s],-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=V,n.vertexColor=this.vertexColor;var l=U;for(M(l,n.view,n.model),M(l,n.projection,l),k(l,l),i=0;i<3;++i)n.eyePosition[i]=l[12+i]/l[15];var u=l[15];for(i=0;i<3;++i)u+=this.lightPosition[i]*l[4*i+3];for(i=0;i<3;++i){var c=l[12+i];for(s=0;s<3;++s)c+=l[4*s+i]*this.lightPosition[s];n.lightPosition[i]=c/u}var h=o(n,this);if(h.showSurface&&e===this.opacity<1){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=h.projections[i],this._shader.uniforms.clipBounds=h.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(h.showContour&&!e){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var d=this._contourVAO;for(d.bind(),i=0;i<3;++i)for(f.uniforms.permutation=O[i],r.lineWidth(this.contourWidth[i]),s=0;s<this.contourLevels[i].length;++s)this._contourCounts[i][s]&&(s===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==s&&s-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),f.uniforms.height=this.contourLevels[i][s],d.draw(r.LINES,this._contourCounts[i][s],this._contourOffsets[i][s]));for(i=0;i<3;++i)for(f.uniforms.model=h.projections[i],f.uniforms.clipBounds=h.clipBounds[i],s=0;s<3;++s)if(this.contourProject[i][s]){f.uniforms.permutation=O[s],r.lineWidth(this.contourWidth[s]);for(var p=0;p<this.contourLevels[s].length;++p)p===this.highlightLevel[s]?(f.uniforms.contourColor=this.highlightColor[s],f.uniforms.contourTint=this.highlightTint[s]):0!==p&&p-1!==this.highlightLevel[s]||(f.uniforms.contourColor=this.contourColor[s],f.uniforms.contourTint=this.contourTint[s]),f.uniforms.height=this.contourLevels[s][p],d.draw(r.LINES,this._contourCounts[s][p],this._contourOffsets[s][p])}for(d=this._dynamicVAO,d.bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=O[i],r.lineWidth(this.dynamicWidth[i]),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),s=0;s<3;++s)this.contourProject[s][i]&&(f.uniforms.model=h.projections[s],f.uniforms.clipBounds=h.clipBounds[s],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));d.unbind()}}function l(t,e){var r=e.shape.slice(),n=t.shape.slice();b.assign(t.lo(1,1).hi(r[0],r[1]),e),b.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),b.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),b.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),b.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))}function u(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function c(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 h(t){if(Array.isArray(t)){if(Array.isArray(t))return[c(t[0]),c(t[1]),c(t[2])];var e=c(t);return[e.slice(),e.slice(),e.slice()]}}function f(t){var e=t.gl,r=E(e),n=C(e),i=L(e),o=I(e),s=p(e),l=m(e,[{buffer:s,size:4,stride:z,offset:0},{buffer:s,size:3,stride:z,offset:16},{buffer:s,size:3,stride:z,offset:28}]),u=p(e),c=m(e,[{buffer:u,size:4,stride:20,offset:0},{buffer:u,size:1,stride:20,offset:16}]),h=p(e),f=m(e,[{buffer:h,size:2,type:e.FLOAT}]),d=v(e,1,R,e.RGBA,e.UNSIGNED_BYTE);d.minFilter=e.LINEAR,d.magFilter=e.LINEAR;var g=new a(e,[0,0],[[0,0,0],[0,0,0]],r,n,s,l,d,i,o,u,c,h,f),y={levels:[[],[],[]]};for(var b in t)y[b]=t[b];return y.colormap=y.colormap||\"jet\",g.update(y),g}e.exports=f\n",
       ";var d=t(\"bit-twiddle\"),p=t(\"gl-buffer\"),m=t(\"gl-vao\"),v=t(\"gl-texture2d\"),g=t(\"typedarray-pool\"),y=t(\"colormap\"),b=t(\"ndarray-ops\"),x=t(\"ndarray-pack\"),_=t(\"ndarray\"),w=t(\"surface-nets\"),M=t(\"gl-mat4/multiply\"),k=t(\"gl-mat4/invert\"),A=t(\"binary-search-bounds\"),T=t(\"ndarray-gradient\"),S=t(\"./lib/shaders\"),E=S.createShader,L=S.createContourShader,C=S.createPickShader,I=S.createPickContourShader,z=40,D=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],P=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],O=[[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(){for(var t=0;t<3;++t){var e=O[t],r=(t+1)%3,n=(t+2)%3;e[r+0]=1,e[n+3]=1,e[t+6]=1}}();var R=256,F=a.prototype;F.isTransparent=function(){return this.opacity<1},F.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this._contourCounts[t].length>0||this._dynamicCounts[t]>0)return!0;return!1},F.pickSlots=1,F.setPickBase=function(t){this.pickId=t};var j=[0,0,0],N={showSurface:!1,showContour:!1,projections:[D.slice(),D.slice(),D.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]},B={model:D,view:D,projection:D,inverseModel:D.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,kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},U=D.slice(),V=[1,0,0,0,1,0,0,0,1];F.draw=function(t){return s.call(this,t,!1)},F.drawTransparent=function(t){return s.call(this,t,!0)};var H={model:D,view:D,projection:D,inverseModel:D,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};F.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=H;r.model=t.model||D,r.view=t.view||D,r.projection=t.projection||D,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.permutation=V;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var s=o(r,this);if(s.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=s.projections[n],this._pickShader.uniforms.clipBounds=s.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(s.showContour){var l=this._contourPickShader;l.bind(),l.uniforms=r;var u=this._contourVAO;for(u.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]),l.uniforms.permutation=O[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(l.uniforms.height=this.contourLevels[a][n],u.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(l.uniforms.model=s.projections[n],l.uniforms.clipBounds=s.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){l.uniforms.permutation=O[a],e.lineWidth(this.contourWidth[a]);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(l.uniforms.height=this.contourLevels[a][c],u.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}u.unbind()}},F.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]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&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<2;++c)for(var h=c?a:1-a,f=0;f<2;++f)for(var d=f?l:1-l,p=i+c,m=s+f,v=h*d,g=0;g<3;++g)u[g]+=this._field[g].get(p,m)*v;for(var y=this._pickResult.level,b=0;b<3;++b)if(y[b]=A.le(this.contourLevels[b],u[b]),y[b]<0)this.contourLevels[b].length>0&&(y[b]=0);else if(y[b]<this.contourLevels[b].length-1){var x=this.contourLevels[b][y[b]],_=this.contourLevels[b][y[b]+1];Math.abs(x-u[b])>Math.abs(_-u[b])&&(y[b]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],g=0;g<3;++g)r.dataCoordinate[g]=this._field[g].get(r.index[0],r.index[1]);return r},F.update=function(t){t=t||{},this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=u(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=u(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=u(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=h(t.contourColor)),\"contourProject\"in t&&(this.contourProject=u(t.contourProject,function(t){return u(t,Boolean)})),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=h(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=u(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=u(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0);var e=t.field||t.coords&&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)),\"field\"in t||\"coords\"in t){var n=(e.shape[0]+2)*(e.shape[1]+2);n>this._field[2].data.length&&(g.freeFloat(this._field[2].data),this._field[2].data=g.mallocFloat(d.nextPow2(n))),this._field[2]=_(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),l(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(g.freeFloat(this._field[o].data),this._field[o].data=g.mallocFloat(this._field[2].size)),this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var s=t.coords;if(!Array.isArray(s)||3!==s.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=s[o];for(y=0;y<2;++y)if(c.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");l(this._field[o],c)}}else if(t.ticks){var f=t.ticks;if(!Array.isArray(f)||2!==f.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=f[o];if((Array.isArray(p)||p.length)&&(p=_(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var m=_(p.data,a);m.stride[o]=p.stride[0],m.stride[1^o]=0,l(this._field[o],m)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var b=this._field,x=_(g.mallocFloat(3*b[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)T(x.pick(o),b[o],\"mirror\");var M=_(g.mallocFloat(3*b[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var k=x.get(0,o,y,0),A=x.get(0,o,y,1),S=x.get(1,o,y,0),E=x.get(1,o,y,1),L=x.get(2,o,y,0),C=x.get(2,o,y,1),I=S*C-E*L,z=L*A-C*k,D=k*E-A*S,O=Math.sqrt(I*I+z*z+D*D);O<1e-8?(O=Math.max(Math.abs(I),Math.abs(z),Math.abs(D)),O<1e-8?(D=1,z=I=0,O=1):O=1/O):O=1/Math.sqrt(O),M.set(o,y,0,I*O),M.set(o,y,1,z*O),M.set(o,y,2,D*O)}g.free(x.data);var R=[1/0,1/0,1/0],F=[-1/0,-1/0,-1/0],j=1/0,N=-1/0,B=(a[0]-1)*(a[1]-1)*6,U=g.mallocFloat(d.nextPow2(10*B)),V=0,H=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var q=0;q<2;++q)for(var G=0;G<2;++G)for(var Y=0;Y<3;++Y){var W=this._field[Y].get(1+o+q,1+y+G);if(isNaN(W)||!isFinite(W))continue t}for(Y=0;Y<6;++Y){var X=o+P[Y][0],Z=y+P[Y][1],J=this._field[0].get(X+1,Z+1),K=this._field[1].get(X+1,Z+1);W=this._field[2].get(X+1,Z+1);var Q=W;I=M.get(X+1,Z+1,0),z=M.get(X+1,Z+1,1),D=M.get(X+1,Z+1,2),t.intensity&&(Q=t.intensity.get(X,Z)),U[V++]=X,U[V++]=Z,U[V++]=J,U[V++]=K,U[V++]=W,U[V++]=0,U[V++]=Q,U[V++]=I,U[V++]=z,U[V++]=D,R[0]=Math.min(R[0],J),R[1]=Math.min(R[1],K),R[2]=Math.min(R[2],W),j=Math.min(j,Q),F[0]=Math.max(F[0],J),F[1]=Math.max(F[1],K),F[2]=Math.max(F[2],W),N=Math.max(N,Q),H+=1}}for(t.intensityBounds&&(j=+t.intensityBounds[0],N=+t.intensityBounds[1]),o=6;o<V;o+=10)U[o]=(U[o]-j)/(N-j);this._vertexCount=H,this._coordinateBuffer.update(U.subarray(0,V)),g.freeFloat(U),g.free(M.data),this.bounds=[R,F],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===j&&this.intensityBounds[1]===N||(r=!0),this.intensityBounds=[j,N]}if(\"levels\"in t){var $=t.levels;for($=Array.isArray($[0])?$.slice():[[],[],$],o=0;o<3;++o)$[o]=$[o].slice(),$.sort(function(t,e){return t-e});t:for(o=0;o<3;++o){if($[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<$[o].length;++y)if($[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=$}if(r){b=this._field,a=this.shape;for(var tt=[],et=0;et<3;++et){$=this.contourLevels[et];var rt=[],nt=[],it=[0,0,0];for(o=0;o<$.length;++o){var at=w(this._field[et],$[o]);rt.push(tt.length/5|0),H=0;t:for(y=0;y<at.cells.length;++y){var ot=at.cells[y];for(Y=0;Y<2;++Y){var st=at.positions[ot[Y]],lt=st[0],ut=0|Math.floor(lt),ct=lt-ut,ht=st[1],ft=0|Math.floor(ht),dt=ht-ft,pt=!1;e:for(var mt=0;mt<3;++mt){it[mt]=0;var vt=(et+mt+1)%3;for(q=0;q<2;++q){var gt=q?ct:1-ct;for(X=0|Math.min(Math.max(ut+q,0),a[0]),G=0;G<2;++G){var yt=G?dt:1-dt;if(Z=0|Math.min(Math.max(ft+G,0),a[1]),W=mt<2?this._field[vt].get(X,Z):(this.intensity.get(X,Z)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(W)||isNaN(W)){pt=!0;break e}var bt=gt*yt;it[mt]+=bt*W}}}if(pt){if(Y>0){for(var xt=0;xt<5;++xt)tt.pop();H-=1}continue t}tt.push(it[0],it[1],st[0],st[1],it[2]),H+=1}}nt.push(H)}this._contourOffsets[et]=rt,this._contourCounts[et]=nt}var _t=g.mallocFloat(tt.length);for(o=0;o<tt.length;++o)_t[o]=tt[o];this._contourBuffer.update(_t),g.freeFloat(_t)}t.colormap&&this._colorMap.setPixels(i(t.colormap))},F.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<3;++t)g.freeFloat(this._field[t].data)},F.highlight=function(t){if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(var e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;var r;if(r=this.snapToData?t.dataCoordinate:t.position,this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=g.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var s=(o+1)%3,l=(o+2)%3,u=this._field[o],c=this._field[s],h=this._field[l],f=(this.intensity,w(u,r[o])),d=f.cells,p=f.positions;for(this._dynamicOffsets[o]=n,e=0;e<d.length;++e)for(var m=d[e],v=0;v<2;++v){var y=p[m[v]],b=+y[0],x=0|b,_=0|Math.min(x+1,i[0]),M=b-x,k=1-M,A=+y[1],T=0|A,S=0|Math.min(T+1,i[1]),E=A-T,L=1-E,C=k*L,I=k*E,z=M*L,D=M*E,P=C*c.get(x,T)+I*c.get(x,S)+z*c.get(_,T)+D*c.get(_,S),O=C*h.get(x,T)+I*h.get(x,S)+z*h.get(_,T)+D*h.get(_,S);if(isNaN(P)||isNaN(O)){v&&(n-=1);break}a[2*n+0]=P,a[2*n+1]=O,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)),g.freeFloat(a)}}},{\"./lib/shaders\":265,\"binary-search-bounds\":66,\"bit-twiddle\":67,colormap:99,\"gl-buffer\":156,\"gl-mat4/invert\":181,\"gl-mat4/multiply\":183,\"gl-texture2d\":267,\"gl-vao\":271,ndarray:467,\"ndarray-gradient\":458,\"ndarray-ops\":461,\"ndarray-pack\":462,\"surface-nets\":531,\"typedarray-pool\":541}],267:[function(t,e,r){\"use strict\";function n(t){g=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],y=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],b=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function i(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}function a(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");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 o(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}function s(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function l(t,e,r,n,i,a,o,l){var u=l.dtype,c=l.shape.slice();if(c.length<2||c.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var h=0,f=0,d=s(c,l.stride.slice());\"float32\"===u?h=t.FLOAT:\"float64\"===u?(h=t.FLOAT,d=!1,u=\"float32\"):\"uint8\"===u?h=t.UNSIGNED_BYTE:(h=t.UNSIGNED_BYTE,d=!1,u=\"uint8\");if(2===c.length)f=t.LUMINANCE,c=[c[0],c[1],1],l=p(l.data,c,[l.stride[0],l.stride[1],1],l.offset);else{if(3!==c.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===c[2])f=t.ALPHA;else if(2===c[2])f=t.LUMINANCE_ALPHA;else if(3===c[2])f=t.RGB;else{if(4!==c[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");f=t.RGBA}c[2]}if(f!==t.LUMINANCE&&f!==t.ALPHA||i!==t.LUMINANCE&&i!==t.ALPHA||(f=i),f!==i)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var g=l.size,y=o.indexOf(n)<0;if(y&&o.push(n),h===a&&d)0===l.offset&&l.data.length===g?y?t.texImage2D(t.TEXTURE_2D,n,i,c[0],c[1],0,i,a,l.data):t.texSubImage2D(t.TEXTURE_2D,n,e,r,c[0],c[1],i,a,l.data):y?t.texImage2D(t.TEXTURE_2D,n,i,c[0],c[1],0,i,a,l.data.subarray(l.offset,l.offset+g)):t.texSubImage2D(t.TEXTURE_2D,n,e,r,c[0],c[1],i,a,l.data.subarray(l.offset,l.offset+g));else{var b;b=a===t.FLOAT?v.mallocFloat32(g):v.mallocUint8(g);var _=p(b,c,[c[2],c[2]*c[0],1]);h===t.FLOAT&&a===t.UNSIGNED_BYTE?x(_,l):m.assign(_,l),y?t.texImage2D(t.TEXTURE_2D,n,i,c[0],c[1],0,i,a,b.subarray(0,g)):t.texSubImage2D(t.TEXTURE_2D,n,e,r,c[0],c[1],i,a,b.subarray(0,g)),a===t.FLOAT?v.freeFloat32(b):v.freeUint8(b)}}function u(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 c(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var s=u(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new o(t,s,e,r,n,i)}function h(t,e,r,n,i,a){var s=u(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new o(t,s,r,n,i,a)}function f(t,e){var r=e.dtype,n=e.shape.slice(),i=t.getParameter(t.MAX_TEXTURE_SIZE);if(n[0]<0||n[0]>i||n[1]<0||n[1]>i)throw new Error(\"gl-texture2d: Invalid texture size\");var a=s(n,e.stride.slice()),l=0;\"float32\"===r?l=t.FLOAT:\"float64\"===r?(l=t.FLOAT,a=!1,r=\"float32\"):\"uint8\"===r?l=t.UNSIGNED_BYTE:(l=t.UNSIGNED_BYTE,a=!1,r=\"uint8\");var c=0;if(2===n.length)c=t.LUMINANCE,n=[n[0],n[1],1],e=p(e.data,n,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==n.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===n[2])c=t.ALPHA;else if(2===n[2])c=t.LUMINANCE_ALPHA;else if(3===n[2])c=t.RGB;else{if(4!==n[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");c=t.RGBA}}l!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(l=t.UNSIGNED_BYTE,a=!1);var h,f,d=e.size;if(a)h=0===e.offset&&e.data.length===d?e.data:e.data.subarray(e.offset,e.offset+d);else{var g=[n[2],n[2]*n[0],1];f=v.malloc(d,r);var y=p(f,n,g,0);\"float32\"!==r&&\"float64\"!==r||l!==t.UNSIGNED_BYTE?m.assign(y,e):x(y,e),h=f.subarray(0,d)}var b=u(t);return t.texImage2D(t.TEXTURE_2D,0,c,n[0],n[1],0,c,l,h),a||v.free(f),new o(t,b,n[0],n[1],c,l)}function 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n=t(\"./literals\");e.exports=n.slice().concat([\"layout\",\"centroid\",\"smooth\",\"case\",\"mat2x2\",\"mat2x3\",\"mat2x4\",\"mat3x2\",\"mat3x3\",\"mat3x4\",\"mat4x2\",\"mat4x3\",\"mat4x4\",\"uint\",\"uvec2\",\"uvec3\",\"uvec4\",\"samplerCubeShadow\",\"sampler2DArray\",\"sampler2DArrayShadow\",\"isampler2D\",\"isampler3D\",\"isamplerCube\",\"isampler2DArray\",\"usampler2D\",\"usampler3D\",\"usamplerCube\",\"usampler2DArray\",\"coherent\",\"restrict\",\"readonly\",\"writeonly\",\"resource\",\"atomic_uint\",\"noperspective\",\"patch\",\"sample\",\"subroutine\",\"common\",\"partition\",\"active\",\"filter\",\"image1D\",\"image2D\",\"image3D\",\"imageCube\",\"iimage1D\",\"iimage2D\",\"iimage3D\",\"iimageCube\",\"uimage1D\",\"uimage2D\",\"uimage3D\",\"uimageCube\",\"image1DArray\",\"image2DArray\",\"iimage1DArray\",\"iimage2DArray\",\"uimage1DArray\",\"uimage2DArray\",\"image1DShadow\",\"image2DShadow\",\"image1DArrayShadow\",\"image2DArrayShadow\",\"imageBuffer\",\"iimageBuffer\",\"uimageBuffer\",\"sampler1DArray\",\"sampler1DArrayShadow\",\"isampler1D\",\"isampler1DArray\",\"usampler1D\",\"usampler1DArray\",\"isampler2DRect\",\"usampler2DRect\",\"samplerBuffer\",\"isamplerBuffer\",\"usamplerBuffer\",\"sampler2DMS\",\"isampler2DMS\",\"usampler2DMS\",\"sampler2DMSArray\",\"isampler2DMSArray\",\"usampler2DMSArray\"])},{\"./literals\":284}],284:[function(t,e,r){e.exports=[\"precision\",\"highp\",\"mediump\",\"lowp\",\"attribute\",\"const\",\"uniform\",\"varying\",\"break\",\"continue\",\"do\",\"for\",\"while\",\"if\",\"else\",\"in\",\"out\",\"inout\",\"float\",\"int\",\"void\",\"bool\",\"true\",\"false\",\"discard\",\"return\",\"mat2\",\"mat3\",\"mat4\",\"vec2\",\"vec3\",\"vec4\",\"ivec2\",\"ivec3\",\"ivec4\",\"bvec2\",\"bvec3\",\"bvec4\",\"sampler1D\",\"sampler2D\",\"sampler3D\",\"samplerCube\",\"sampler1DShadow\",\"sampler2DShadow\",\"struct\",\"asm\",\"class\",\"union\",\"enum\",\"typedef\",\"template\",\"this\",\"packed\",\"goto\",\"switch\",\"default\",\"inline\",\"noinline\",\"volatile\",\"public\",\"static\",\"extern\",\"external\",\"interface\",\"long\",\"short\",\"double\",\"half\",\"fixed\",\"unsigned\",\"input\",\"output\",\"hvec2\",\"hvec3\",\"hvec4\",\"dvec2\",\"dvec3\",\"dvec4\",\"fvec2\",\"fvec3\",\"fvec4\",\"sampler2DRect\",\"sampler3DRect\",\"sampler2DRectShadow\",\"sizeof\",\"cast\",\"namespace\",\"using\"]},{}],285:[function(t,e,r){e.exports=[\"<<=\",\">>=\",\"++\",\"--\",\"<<\",\">>\",\"<=\",\">=\",\"==\",\"!=\",\"&&\",\"||\",\"+=\",\"-=\",\"*=\",\"/=\",\"%=\",\"&=\",\"^^\",\"^=\",\"|=\",\"(\",\")\",\"[\",\"]\",\".\",\"!\",\"~\",\"*\",\"/\",\"%\",\"+\",\"-\",\"<\",\">\",\"&\",\"^\",\"|\",\"?\",\":\",\"=\",\",\",\";\",\"{\",\"}\"]},{}],286:[function(t,e,r){function n(t,e){var r=i(e),n=[];return n=n.concat(r(t)),n=n.concat(r(null))}var i=t(\"./index\");e.exports=n},{\"./index\":280}],287:[function(t,e,r){\"use strict\";function n(t,e,r){var n=this.cells=[];if(t instanceof ArrayBuffer){this.arrayBuffer=t;var a=new Int32Array(this.arrayBuffer);t=a[0],e=a[1],r=a[2],this.d=e+2*r;for(var o=0;o<this.d*this.d;o++){var s=a[i+o],l=a[i+o+1];n.push(s===l?null:a.subarray(s,l))}var u=a[i+n.length],c=a[i+n.length+1];this.keys=a.subarray(u,c),this.bboxes=a.subarray(c),this.insert=this._insertReadonly}else{this.d=e+2*r;for(var h=0;h<this.d*this.d;h++)n.push([]);this.keys=[],this.bboxes=[]}this.n=e,this.extent=t,this.padding=r,this.scale=e/t,this.uid=0;var f=r/e*t;this.min=-f,this.max=t+f}e.exports=n;var i=3;n.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertCell,this.uid++),this.keys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},n.prototype._insertReadonly=function(){throw\"Cannot insert into a 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Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},n.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=i+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var a=new Int32Array(e+r+this.keys.length+this.bboxes.length);a[0]=this.extent,a[1]=this.n,a[2]=this.padding;for(var o=e,s=0;s<t.length;s++){var l=t[s];a[i+s]=o,a.set(l,o),o+=l.length}return a[i+t.length]=o,a.set(this.keys,o),o+=this.keys.length,a[i+t.length+1]=o,a.set(this.bboxes,o),o+=this.bboxes.length,a.buffer}},{}],288:[function(t,e,r){(function(r){\"use strict\";var n,i=t(\"is-browser\");n=\"function\"==typeof r.matchMedia?!r.matchMedia(\"(hover: none)\").matches:i,e.exports=n}).call(this,\"undefined\"!=typeof global?global:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{\"is-browser\":294}],289:[function(t,e,r){r.read=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,u=l>>1,c=-7,h=r?i-1:0,f=r?-1:1,d=t[e+h];for(h+=f,a=d&(1<<-c)-1,d>>=-c,c+=s;c>0;a=256*a+t[e+h],h+=f,c-=8);for(o=a&(1<<-c)-1,a>>=-c,c+=n;c>0;o=256*o+t[e+h],h+=f,c-=8);if(0===a)a=1-u;else{if(a===l)return o?NaN:1/0*(d?-1:1);o+=Math.pow(2,n),a-=u}return(d?-1:1)*o*Math.pow(2,a-n)},r.write=function(t,e,r,n,i,a){var o,s,l,u=8*a-i-1,c=(1<<u)-1,h=c>>1,f=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,d=n?0:a-1,p=n?1:-1,m=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=c):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),e+=o+h>=1?f/l:f*Math.pow(2,1-h),e*l>=2&&(o++,l/=2),o+h>=c?(s=0,o=c):o+h>=1?(s=(e*l-1)*Math.pow(2,i),o+=h):(s=e*Math.pow(2,h-1)*Math.pow(2,i),o=0));i>=8;t[r+d]=255&s,d+=p,s/=256,i-=8);for(o=o<<i|s,u+=i;u>0;t[r+d]=255&o,d+=p,o/=256,u-=8);t[r+d-p]|=128*m}},{}],290:[function(t,e,r){\"use strict\";function n(t,e,r){this.vertices=t,this.adjacent=e,this.boundary=r,this.lastVisited=-1}function 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f=c[h];i[h]=f<0?e:a[f]}var d=this.orient();if(d>0)return u;u.lastVisited=-n,0===d&&o.push(u)}}}return null},f.walk=function(t,e){var r=this.vertices.length-1,n=this.dimension,i=this.vertices,a=this.tuple,o=e?this.interior.length*Math.random()|0:this.interior.length-1,s=this.interior[o];t:for(;!s.boundary;){for(var l=s.vertices,u=s.adjacent,c=0;c<=n;++c)a[c]=i[l[c]];s.lastVisited=r;for(var c=0;c<=n;++c){var h=u[c];if(!(h.lastVisited>=r)){var f=a[c];a[c]=t;var d=this.orient();if(a[c]=f,d<0){s=h;continue t}h.boundary?h.lastVisited=-r:h.lastVisited=r}}return}return s},f.addPeaks=function(t,e){var r=this.vertices.length-1,o=this.dimension,s=this.vertices,l=this.tuple,u=this.interior,c=this.simplices,h=[e];e.lastVisited=r,e.vertices[e.vertices.indexOf(-1)]=r,e.boundary=!1,u.push(e);for(var f=[];h.length>0;){var e=h.pop(),d=e.vertices,p=e.adjacent,m=d.indexOf(r);if(!(m<0))for(var v=0;v<=o;++v)if(v!==m){var g=p[v];if(g.boundary&&!(g.lastVisited>=r)){var y=g.vertices;if(g.lastVisited!==-r){for(var b=0,x=0;x<=o;++x)y[x]<0?(b=x,l[x]=t):l[x]=s[y[x]];var _=this.orient();if(_>0){y[b]=r,g.boundary=!1,u.push(g),h.push(g),g.lastVisited=r;continue}g.lastVisited=-r}var w=g.adjacent,M=d.slice(),k=p.slice(),A=new n(M,k,!0);c.push(A);var T=w.indexOf(e);if(!(T<0)){w[T]=A,k[m]=g,M[v]=-1,k[v]=e,p[v]=A,A.flip();for(var x=0;x<=o;++x){var S=M[x];if(!(S<0||S===r)){for(var E=new Array(o-1),L=0,C=0;C<=o;++C){var I=M[C];I<0||C===x||(E[L++]=I)}f.push(new i(E,A,x))}}}}}}f.sort(a);for(var v=0;v+1<f.length;v+=2){var z=f[v],D=f[v+1],P=z.index,O=D.index;P<0||O<0||(z.cell.adjacent[z.index]=D.cell,D.cell.adjacent[D.index]=z.cell)}},f.insert=function(t,e){var r=this.vertices;r.push(t);var n=this.walk(t,e);if(n){for(var i=this.dimension,a=this.tuple,o=0;o<=i;++o){var s=n.vertices[o];a[o]=s<0?t:r[s]}var l=this.orient(a);l<0||(0!==l||(n=this.handleBoundaryDegeneracy(n,t)))&&this.addPeaks(t,n)}},f.boundary=function(){for(var t=this.dimension,e=[],r=this.simplices,n=r.length,i=0;i<n;++i){var a=r[i];if(a.boundary){for(var o=new Array(t),s=a.vertices,l=0,u=0,c=0;c<=t;++c)s[c]>=0?o[l++]=s[c]:u=1&c;if(u===(1&t)){var h=o[0];o[0]=o[1],o[1]=h}e.push(o)}}return e}},{\"robust-orientation\":508,\"simplicial-complex\":519}],291:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.mid=t,this.left=e,this.right=r,this.leftPoints=n,this.rightPoints=i,this.count=(e?e.count:0)+(r?r.count:0)+n.length}function i(t,e){t.mid=e.mid,t.left=e.left,t.right=e.right,t.leftPoints=e.leftPoints,t.rightPoints=e.rightPoints,t.count=e.count}function a(t,e){var r=p(e);t.mid=r.mid,t.left=r.left,t.right=r.right,t.leftPoints=r.leftPoints,t.rightPoints=r.rightPoints,t.count=r.count}function o(t,e){var r=t.intervals([]);r.push(e),a(t,r)}function s(t,e){var r=t.intervals([]),n=r.indexOf(e);return n<0?y:(r.splice(n,1),a(t,r),b)}function l(t,e,r){for(var n=0;n<t.length&&t[n][0]<=e;++n){var i=r(t[n]);if(i)return i}}function u(t,e,r){for(var 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 gl_Position.xy += extrude * gl_Position.w;\\n    }\\n\\n    // This is a minimum blur distance that serves as a faux-antialiasing for\\n    // the circle. since blur is a ratio of the circle's size and the intent is\\n    // to keep the blur at roughly 1px, the two are inversely related.\\n    v_antialiasblur = 1.0 / u_devicepixelratio / radius;\\n}\\n\"},line:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform lowp vec4 u_color;\\nuniform lowp float u_opacity;\\nuniform float u_blur;\\n\\nvarying vec2 v_linewidth;\\nvarying vec2 v_normal;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_linewidth.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_linewidth.t) or when fading out\\n    // (v_linewidth.s)\\n    float blur = u_blur * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_linewidth.t - blur), v_linewidth.s - dist) / blur, 0.0, 1.0);\\n\\n    gl_FragColor = u_color * (alpha * u_opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\nattribute vec2 a_pos;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform mediump float u_linewidth;\\nuniform mediump float u_gapwidth;\\nuniform mediump float u_antialiasing;\\nuniform mediump float u_extra;\\nuniform mat2 u_antialiasingmatrix;\\nuniform mediump float u_offset;\\nuniform mediump float u_blur;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n\\n    // We store the texture normals in the most insignificant bit\\n    // transform y so that 0 => -1 and 1 => 1\\n    // In the texture normal, x is 0 if the normal points straight up/down and 1 if it's a round cap\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = mod(a_pos, 2.0);\\n    normal.y = sign(normal.y - 0.5);\\n    v_normal = normal;\\n\\n    float inset = u_gapwidth + (u_gapwidth > 0.0 ? u_antialiasing : 0.0);\\n    float outset = u_gapwidth + u_linewidth * (u_gapwidth > 0.0 ? 2.0 : 1.0) + u_antialiasing;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset = u_offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    // Remove the texture normal bit of the position before scaling it with the\\n    // model/view matrix.\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5) + (offset + dist) / u_ratio, 0.0, 1.0);\\n\\n    // position of y on the screen\\n    float y = gl_Position.y / gl_Position.w;\\n\\n    // how much features are squished in the y direction by the tilt\\n    float squish_scale = length(a_extrude) / length(u_antialiasingmatrix * a_extrude);\\n\\n    // how much features are squished in all directions by the perspectiveness\\n    float perspective_scale = 1.0 / (1.0 - min(y * u_extra, 0.9));\\n\\n    v_linewidth = vec2(outset, inset);\\n    v_gamma_scale = perspective_scale * squish_scale;\\n}\\n\"},linepattern:{\n",
       "fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_blur;\\n\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform float u_fade;\\nuniform float u_opacity;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying float v_linesofar;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_linewidth.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_linewidth.t) or when fading out\\n    // (v_linewidth.s)\\n    float blur = u_blur * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_linewidth.t - blur), v_linewidth.s - dist) / blur, 0.0, 1.0);\\n\\n    float x_a = mod(v_linesofar / u_pattern_size_a.x, 1.0);\\n    float x_b = mod(v_linesofar / u_pattern_size_b.x, 1.0);\\n    float y_a = 0.5 + (v_normal.y * v_linewidth.s / u_pattern_size_a.y);\\n    float y_b = 0.5 + (v_normal.y * v_linewidth.s / u_pattern_size_b.y);\\n    vec2 pos_a = mix(u_pattern_tl_a, u_pattern_br_a, vec2(x_a, y_a));\\n    vec2 pos_b = mix(u_pattern_tl_b, u_pattern_br_b, vec2(x_b, y_b));\\n\\n    vec4 color = mix(texture2D(u_image, pos_a), texture2D(u_image, pos_b), u_fade);\\n\\n    alpha *= u_opacity;\\n\\n    gl_FragColor = color * alpha;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\n// We scale the distance before adding it to the buffers so that we can store\\n// long distances for long segments. Use this value to unscale the distance.\\n#define LINE_DISTANCE_SCALE 2.0\\n\\nattribute vec2 a_pos;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform mediump float u_linewidth;\\nuniform mediump float u_gapwidth;\\nuniform mediump float u_antialiasing;\\nuniform mediump float u_extra;\\nuniform mat2 u_antialiasingmatrix;\\nuniform mediump float u_offset;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying float v_linesofar;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n    float a_linesofar = (floor(a_data.z / 4.0) + a_data.w * 64.0) * LINE_DISTANCE_SCALE;\\n\\n    // We store the texture normals in the most insignificant bit\\n    // transform y so that 0 => -1 and 1 => 1\\n    // In the texture normal, x is 0 if the normal points straight up/down and 1 if it's a round cap\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = mod(a_pos, 2.0);\\n    normal.y = sign(normal.y - 0.5);\\n    v_normal = normal;\\n\\n    float inset = u_gapwidth + (u_gapwidth > 0.0 ? u_antialiasing : 0.0);\\n    float outset = u_gapwidth + u_linewidth * (u_gapwidth > 0.0 ? 2.0 : 1.0) + u_antialiasing;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset = u_offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    // Remove the texture normal bit of the position before scaling it with the\\n    // model/view matrix.\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5) + (offset + dist) / u_ratio, 0.0, 1.0);\\n    v_linesofar = a_linesofar;\\n\\n    // position of y on the screen\\n    float y = gl_Position.y / gl_Position.w;\\n\\n    // how much features are squished in the y direction by the tilt\\n    float squish_scale = length(a_extrude) / length(u_antialiasingmatrix * a_extrude);\\n\\n    // how much features are squished in all directions by the perspectiveness\\n    float perspective_scale = 1.0 / (1.0 - min(y * u_extra, 0.9));\\n\\n    v_linewidth = vec2(outset, inset);\\n    v_gamma_scale = perspective_scale * squish_scale;\\n}\\n\"},linesdfpattern:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform lowp vec4 u_color;\\nuniform lowp float u_opacity;\\n\\nuniform float u_blur;\\nuniform sampler2D u_image;\\nuniform float u_sdfgamma;\\nuniform float u_mix;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying vec2 v_tex_a;\\nvarying vec2 v_tex_b;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_linewidth.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_linewidth.t) or when fading out\\n    // (v_linewidth.s)\\n    float blur = u_blur * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_linewidth.t - blur), v_linewidth.s - dist) / blur, 0.0, 1.0);\\n\\n    float sdfdist_a = texture2D(u_image, v_tex_a).a;\\n    float sdfdist_b = texture2D(u_image, v_tex_b).a;\\n    float sdfdist = mix(sdfdist_a, sdfdist_b, u_mix);\\n    alpha *= smoothstep(0.5 - u_sdfgamma, 0.5 + u_sdfgamma, sdfdist);\\n\\n    gl_FragColor = u_color * (alpha * u_opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\n// We scale the distance before adding it to the buffers so that we can store\\n// long distances for long segments. Use this value to unscale the distance.\\n#define LINE_DISTANCE_SCALE 2.0\\n\\nattribute vec2 a_pos;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform mediump float u_linewidth;\\nuniform mediump float u_gapwidth;\\nuniform mediump float u_antialiasing;\\nuniform vec2 u_patternscale_a;\\nuniform float u_tex_y_a;\\nuniform vec2 u_patternscale_b;\\nuniform float u_tex_y_b;\\nuniform float u_extra;\\nuniform mat2 u_antialiasingmatrix;\\nuniform mediump float u_offset;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying vec2 v_tex_a;\\nvarying vec2 v_tex_b;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n    float a_linesofar = (floor(a_data.z / 4.0) + a_data.w * 64.0) * LINE_DISTANCE_SCALE;\\n\\n    // We store the texture normals in the most insignificant bit\\n    // transform y so that 0 => -1 and 1 => 1\\n    // In the texture normal, x is 0 if the normal points straight up/down and 1 if it's a round cap\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = mod(a_pos, 2.0);\\n    normal.y = sign(normal.y - 0.5);\\n    v_normal = normal;\\n\\n    float inset = u_gapwidth + (u_gapwidth > 0.0 ? u_antialiasing : 0.0);\\n    float outset = u_gapwidth + u_linewidth * (u_gapwidth > 0.0 ? 2.0 : 1.0) + u_antialiasing;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset = u_offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    // Remove the texture normal bit of the position before scaling it with the\\n    // model/view matrix.\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5) + (offset + dist) / u_ratio, 0.0, 1.0);\\n\\n    v_tex_a = vec2(a_linesofar * u_patternscale_a.x, normal.y * u_patternscale_a.y + u_tex_y_a);\\n    v_tex_b = vec2(a_linesofar * u_patternscale_b.x, normal.y * u_patternscale_b.y + u_tex_y_b);\\n\\n    // position of y on the screen\\n    float y = gl_Position.y / gl_Position.w;\\n\\n    // how much features are squished in the y direction by the tilt\\n    float squish_scale = length(a_extrude) / length(u_antialiasingmatrix * a_extrude);\\n\\n    // how much features are squished in all directions by the perspectiveness\\n    float perspective_scale = 1.0 / (1.0 - min(y * u_extra, 0.9));\\n\\n    v_linewidth = vec2(outset, inset);\\n    v_gamma_scale = perspective_scale * squish_scale;\\n}\\n\"},outline:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n#pragma mapbox: define lowp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\n\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp vec4 outline_color\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    float dist = length(v_pos - gl_FragCoord.xy);\\n    float alpha = smoothstep(1.0, 0.0, dist);\\n    gl_FragColor = outline_color * (alpha * opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nattribute vec2 a_pos;\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_world;\\n\\nvarying vec2 v_pos;\\n\\n#pragma mapbox: define lowp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp vec4 outline_color\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    v_pos = (gl_Position.xy / gl_Position.w + 1.0) / 2.0 * u_world;\\n}\\n\"},outlinepattern:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_opacity;\\nuniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform float u_mix;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    vec2 imagecoord = mod(v_pos_a, 1.0);\\n    vec2 pos = mix(u_pattern_tl_a, u_pattern_br_a, imagecoord);\\n    vec4 color1 = texture2D(u_image, pos);\\n\\n    vec2 imagecoord_b = mod(v_pos_b, 1.0);\\n    vec2 pos2 = mix(u_pattern_tl_b, u_pattern_br_b, imagecoord_b);\\n    vec4 color2 = texture2D(u_image, pos2);\\n\\n    // find distance to outline for alpha interpolation\\n\\n    float dist = length(v_pos - gl_FragCoord.xy);\\n    float alpha = smoothstep(1.0, 0.0, dist);\\n    \\n\\n    gl_FragColor = mix(color1, color2, u_mix) * alpha * u_opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pixel_coord_upper;\\nuniform vec2 u_pixel_coord_lower;\\nuniform float u_scale_a;\\nuniform float u_scale_b;\\nuniform float u_tile_units_to_pixels;\\n\\nattribute vec2 a_pos;\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_world;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    vec2 scaled_size_a = u_scale_a * u_pattern_size_a;\\n    vec2 scaled_size_b = u_scale_b * u_pattern_size_b;\\n\\n    // the correct offset needs to be calculated.\\n    //\\n    // The offset depends on how many pixels are between the world origin and\\n    // the edge of the tile:\\n    // vec2 offset = mod(pixel_coord, size)\\n    //\\n    // At high zoom levels there are a ton of pixels between the world origin\\n    // and the edge of the tile. The glsl spec only guarantees 16 bits of\\n    // precision for highp floats. We need more than that.\\n    //\\n    // The pixel_coord is passed in as two 16 bit values:\\n    // pixel_coord_upper = floor(pixel_coord / 2^16)\\n    // pixel_coord_lower = mod(pixel_coord, 2^16)\\n    //\\n    // The offset is calculated in a series of steps that should preserve this precision:\\n    vec2 offset_a = mod(mod(mod(u_pixel_coord_upper, scaled_size_a) * 256.0, scaled_size_a) * 256.0 + u_pixel_coord_lower, scaled_size_a);\\n    vec2 offset_b = mod(mod(mod(u_pixel_coord_upper, scaled_size_b) * 256.0, scaled_size_b) * 256.0 + u_pixel_coord_lower, scaled_size_b);\\n\\n    v_pos_a = (u_tile_units_to_pixels * a_pos + offset_a) / scaled_size_a;\\n    v_pos_b = (u_tile_units_to_pixels * a_pos + offset_b) / scaled_size_b;\\n\\n    v_pos = (gl_Position.xy / gl_Position.w + 1.0) / 2.0 * u_world;\\n}\\n\"},pattern:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_opacity;\\nuniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform float u_mix;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\n\\nvoid main() {\\n\\n    vec2 imagecoord = mod(v_pos_a, 1.0);\\n    vec2 pos = mix(u_pattern_tl_a, u_pattern_br_a, imagecoord);\\n    vec4 color1 = texture2D(u_image, pos);\\n\\n    vec2 imagecoord_b = mod(v_pos_b, 1.0);\\n    vec2 pos2 = mix(u_pattern_tl_b, u_pattern_br_b, imagecoord_b);\\n    vec4 color2 = texture2D(u_image, pos2);\\n\\n    gl_FragColor = mix(color1, color2, u_mix) * u_opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pixel_coord_upper;\\nuniform vec2 u_pixel_coord_lower;\\nuniform float u_scale_a;\\nuniform float u_scale_b;\\nuniform float u_tile_units_to_pixels;\\n\\nattribute vec2 a_pos;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    vec2 scaled_size_a = u_scale_a * u_pattern_size_a;\\n    vec2 scaled_size_b = u_scale_b * u_pattern_size_b;\\n\\n    // the correct offset needs to be calculated.\\n    //\\n    // The offset depends on how many pixels are between the world origin and\\n    // the edge of the tile:\\n    // vec2 offset = mod(pixel_coord, size)\\n    //\\n    // At high zoom levels there are a ton of pixels between the world origin\\n    // and the edge of the tile. The glsl spec only guarantees 16 bits of\\n    // precision for highp floats. We need more than that.\\n    //\\n    // The pixel_coord is passed in as two 16 bit values:\\n    // pixel_coord_upper = floor(pixel_coord / 2^16)\\n    // pixel_coord_lower = mod(pixel_coord, 2^16)\\n    //\\n    // The offset is calculated in a series of steps that should preserve this precision:\\n    vec2 offset_a = mod(mod(mod(u_pixel_coord_upper, scaled_size_a) * 256.0, scaled_size_a) * 256.0 + u_pixel_coord_lower, scaled_size_a);\\n    vec2 offset_b = mod(mod(mod(u_pixel_coord_upper, scaled_size_b) * 256.0, scaled_size_b) * 256.0 + u_pixel_coord_lower, scaled_size_b);\\n\\n    v_pos_a = (u_tile_units_to_pixels * a_pos + offset_a) / scaled_size_a;\\n    v_pos_b = (u_tile_units_to_pixels * a_pos + offset_b) / scaled_size_b;\\n}\\n\"},raster:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_opacity0;\\nuniform float u_opacity1;\\nuniform sampler2D u_image0;\\nuniform sampler2D u_image1;\\nvarying vec2 v_pos0;\\nvarying vec2 v_pos1;\\n\\nuniform float u_brightness_low;\\nuniform float u_brightness_high;\\n\\nuniform float u_saturation_factor;\\nuniform float u_contrast_factor;\\nuniform vec3 u_spin_weights;\\n\\nvoid main() {\\n\\n    // read and cross-fade colors from the main and parent tiles\\n    vec4 color0 = texture2D(u_image0, v_pos0);\\n    vec4 color1 = texture2D(u_image1, v_pos1);\\n    vec4 color = color0 * u_opacity0 + color1 * u_opacity1;\\n    vec3 rgb = color.rgb;\\n\\n    // spin\\n    rgb = vec3(\\n        dot(rgb, u_spin_weights.xyz),\\n        dot(rgb, u_spin_weights.zxy),\\n        dot(rgb, u_spin_weights.yzx));\\n\\n    // saturation\\n    float average = (color.r + color.g + color.b) / 3.0;\\n    rgb += (average - rgb) * u_saturation_factor;\\n\\n    // contrast\\n    rgb = (rgb - 0.5) * u_contrast_factor + 0.5;\\n\\n    // brightness\\n    vec3 u_high_vec = vec3(u_brightness_low, u_brightness_low, u_brightness_low);\\n    vec3 u_low_vec = vec3(u_brightness_high, u_brightness_high, u_brightness_high);\\n\\n    gl_FragColor = vec4(mix(u_high_vec, u_low_vec, rgb), color.a);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_tl_parent;\\nuniform float u_scale_parent;\\nuniform float u_buffer_scale;\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_texture_pos;\\n\\nvarying vec2 v_pos0;\\nvarying vec2 v_pos1;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    v_pos0 = (((a_texture_pos / 32767.0) - 0.5) / u_buffer_scale ) + 0.5;\\n    v_pos1 = (v_pos0 * u_scale_parent) + u_tl_parent;\\n}\\n\"},icon:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform sampler2D u_texture;\\nuniform sampler2D u_fadetexture;\\nuniform lowp float u_opacity;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\n\\nvoid main() {\\n    lowp float alpha = texture2D(u_fadetexture, v_fade_tex).a * u_opacity;\\n    gl_FragColor = texture2D(u_texture, v_tex) * alpha;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_offset;\\nattribute vec2 a_texture_pos;\\nattribute vec4 a_data;\\n\\n\\n// matrix is for the vertex position.\\nuniform mat4 u_matrix;\\n\\nuniform mediump float u_zoom;\\nuniform bool u_rotate_with_map;\\nuniform vec2 u_extrude_scale;\\n\\nuniform vec2 u_texsize;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\n\\nvoid main() {\\n    vec2 a_tex = a_texture_pos.xy;\\n    mediump float a_labelminzoom = a_data[0];\\n    mediump vec2 a_zoom = a_data.pq;\\n    mediump float a_minzoom = a_zoom[0];\\n    mediump float a_maxzoom = a_zoom[1];\\n\\n    // u_zoom is the current zoom level adjusted for the change in font size\\n    mediump float z = 2.0 - step(a_minzoom, u_zoom) - (1.0 - step(a_maxzoom, u_zoom));\\n\\n    vec2 extrude = u_extrude_scale * (a_offset / 64.0);\\n    if (u_rotate_with_map) {\\n        gl_Position = u_matrix * vec4(a_pos + extrude, 0, 1);\\n        gl_Position.z += z * gl_Position.w;\\n    } else {\\n        gl_Position = u_matrix * vec4(a_pos, 0, 1) + vec4(extrude, 0, 0);\\n    }\\n\\n    v_tex = a_tex / u_texsize;\\n    v_fade_tex = vec2(a_labelminzoom / 255.0, 0.0);\\n}\\n\"},sdf:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform sampler2D u_texture;\\nuniform sampler2D u_fadetexture;\\nuniform lowp vec4 u_color;\\nuniform lowp float u_opacity;\\nuniform lowp float u_buffer;\\nuniform lowp float u_gamma;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    lowp float dist = texture2D(u_texture, v_tex).a;\\n    lowp float fade_alpha = texture2D(u_fadetexture, v_fade_tex).a;\\n    lowp float gamma = u_gamma * v_gamma_scale;\\n    lowp float alpha = smoothstep(u_buffer - gamma, u_buffer + gamma, dist) * fade_alpha;\\n\\n    gl_FragColor = u_color * (alpha * u_opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nconst float PI = 3.141592653589793;\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_offset;\\nattribute vec2 a_texture_pos;\\nattribute vec4 a_data;\\n\\n\\n// matrix is for the vertex position.\\nuniform mat4 u_matrix;\\n\\nuniform mediump float u_zoom;\\nuniform bool u_rotate_with_map;\\nuniform bool u_pitch_with_map;\\nuniform mediump float u_pitch;\\nuniform mediump float u_bearing;\\nuniform mediump float u_aspect_ratio;\\nuniform vec2 u_extrude_scale;\\n\\nuniform vec2 u_texsize;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_tex = a_texture_pos.xy;\\n    mediump float a_labelminzoom = a_data[0];\\n    mediump vec2 a_zoom = a_data.pq;\\n    mediump float a_minzoom = a_zoom[0];\\n    mediump float a_maxzoom = a_zoom[1];\\n\\n    // u_zoom is the current zoom level adjusted for the change in font size\\n    mediump float z = 2.0 - step(a_minzoom, u_zoom) - (1.0 - step(a_maxzoom, u_zoom));\\n\\n    // pitch-alignment: map\\n    // rotation-alignment: map | viewport\\n    if (u_pitch_with_map) {\\n        lowp float angle = u_rotate_with_map ? (a_data[1] / 256.0 * 2.0 * PI) : u_bearing;\\n        lowp float asin = sin(angle);\\n        lowp float acos = cos(angle);\\n        mat2 RotationMatrix = mat2(acos, asin, -1.0 * asin, acos);\\n        vec2 offset = RotationMatrix * a_offset;\\n        vec2 extrude = u_extrude_scale * (offset / 64.0);\\n        gl_Position = u_matrix * vec4(a_pos + extrude, 0, 1);\\n        gl_Position.z += z * gl_Position.w;\\n    // pitch-alignment: viewport\\n    // rotation-alignment: map\\n    } else if (u_rotate_with_map) {\\n        // foreshortening factor to apply on pitched maps\\n        // as a label goes from horizontal <=> vertical in angle\\n        // it goes from 0% foreshortening to up to around 70% foreshortening\\n        lowp float pitchfactor = 1.0 - cos(u_pitch * sin(u_pitch * 0.75));\\n\\n        lowp float lineangle = a_data[1] / 256.0 * 2.0 * PI;\\n\\n        // use the lineangle to position points a,b along the line\\n        // project the points and calculate the label angle in projected space\\n        // this calculation allows labels to be rendered unskewed on pitched maps\\n        vec4 a = u_matrix * vec4(a_pos, 0, 1);\\n        vec4 b = u_matrix * vec4(a_pos + vec2(cos(lineangle),sin(lineangle)), 0, 1);\\n        lowp float angle = atan((b[1]/b[3] - a[1]/a[3])/u_aspect_ratio, b[0]/b[3] - a[0]/a[3]);\\n        lowp float asin = sin(angle);\\n        lowp float acos = cos(angle);\\n        mat2 RotationMatrix = mat2(acos, -1.0 * asin, asin, acos);\\n\\n        vec2 offset = RotationMatrix * (vec2((1.0-pitchfactor)+(pitchfactor*cos(angle*2.0)), 1.0) * a_offset);\\n        vec2 extrude = u_extrude_scale * (offset / 64.0);\\n        gl_Position = u_matrix * vec4(a_pos, 0, 1) + vec4(extrude, 0, 0);\\n        gl_Position.z += z * gl_Position.w;\\n    // pitch-alignment: viewport\\n    // rotation-alignment: viewport\\n    } else {\\n        vec2 extrude = u_extrude_scale * (a_offset / 64.0);\\n        gl_Position = u_matrix * vec4(a_pos, 0, 1) + vec4(extrude, 0, 0);\\n    }\\n\\n    v_gamma_scale = (gl_Position.w - 0.5);\\n\\n    v_tex = a_tex / u_texsize;\\n    v_fade_tex = vec2(a_labelminzoom / 255.0, 0.0);\\n}\\n\"},collisionbox:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_zoom;\\nuniform float u_maxzoom;\\n\\nvarying float v_max_zoom;\\nvarying float v_placement_zoom;\\n\\nvoid main() {\\n\\n    float alpha = 0.5;\\n\\n    gl_FragColor = vec4(0.0, 1.0, 0.0, 1.0) * alpha;\\n\\n    if (v_placement_zoom > u_zoom) {\\n        gl_FragColor = vec4(1.0, 0.0, 0.0, 1.0) * alpha;\\n    }\\n\\n    if (u_zoom >= v_max_zoom) {\\n        gl_FragColor = vec4(0.0, 0.0, 0.0, 1.0) * alpha * 0.25;\\n    }\\n\\n    if (v_placement_zoom >= u_maxzoom) {\\n        gl_FragColor = vec4(0.0, 0.0, 1.0, 1.0) * alpha * 0.2;\\n    }\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_extrude;\\nattribute vec2 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform float u_scale;\\n\\nvarying float v_max_zoom;\\nvarying float v_placement_zoom;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos + a_extrude / u_scale, 0.0, 1.0);\\n\\n    v_max_zoom = a_data.x;\\n    v_placement_zoom = a_data.y;\\n}\\n\"}},e.exports.util=\"float evaluate_zoom_function_1(const vec4 values, const float t) {\\n    if (t < 1.0) {\\n        return mix(values[0], values[1], t);\\n    } else if (t < 2.0) {\\n        return mix(values[1], values[2], t - 1.0);\\n    } else {\\n        return mix(values[2], values[3], t - 2.0);\\n    }\\n}\\nvec4 evaluate_zoom_function_4(const vec4 value0, const vec4 value1, const vec4 value2, const vec4 value3, const float t) {\\n    if (t < 1.0) {\\n        return mix(value0, value1, t);\\n    } else if (t < 2.0) {\\n        return mix(value1, value2, t - 1.0);\\n    } else {\\n        return mix(value2, value3, t - 2.0);\\n    }\\n}\\n\"},{path:476}],304:[function(t,e,r){\"use strict\";function n(t,e){this.message=(t?t+\": \":\"\")+i.apply(i,Array.prototype.slice.call(arguments,2)),null!==e&&void 0!==e&&e.__line__&&(this.line=e.__line__)}var i=t(\"util\").format;e.exports=n},{util:549}],305:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=1;e<arguments.length;e++){var r=arguments[e];for(var n in r)t[n]=r[n]}return t}},{}],306:[function(t,e,r){\"use strict\";e.exports=function(t){return t instanceof Number?\"number\":t instanceof String?\"string\":t instanceof Boolean?\"boolean\":Array.isArray(t)?\"array\":null===t?\"null\":typeof t}},{}],307:[function(t,e,r){\"use strict\";e.exports=function(t){return t instanceof Number||t instanceof String||t instanceof Boolean?t.valueOf():t}},{}],308:[function(t,e,r){\"use strict\";var n=t(\"../error/validation_error\"),i=t(\"../util/get_type\"),a=t(\"../util/extend\");e.exports=function(e){var 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h=2;h<s.length;h++)r=a(s[h]),\"$type\"==s[1]?c=c.concat(i({key:l+\"[\"+h+\"]\",value:s[h],valueSpec:u.geometry_type,style:e.style,styleSpec:e.styleSpec})):\"string\"===r&&\"@\"===s[h][0]?c.push(new n(l+\"[\"+h+\"]\",s[h],\"filter value cannot be a constant\")):\"string\"!==r&&\"number\"!==r&&\"boolean\"!==r&&c.push(new n(l+\"[\"+h+\"]\",s[h],\"string, number, or boolean expected, %s found\",r));break;case\"any\":case\"all\":case\"none\":for(h=1;h<s.length;h++)c=c.concat(t({key:l+\"[\"+h+\"]\",value:s[h],style:e.style,styleSpec:e.styleSpec}));break;case\"has\":case\"!has\":r=a(s[1]),2!==s.length?c.push(new n(l,s,'filter array for \"%s\" operator must have 2 elements',s[0])):\"string\"!==r?c.push(new n(l+\"[1]\",s[1],\"string expected, %s found\",r)):\"@\"===s[1][0]&&c.push(new n(l+\"[1]\",s[1],\"filter key cannot be a constant\"))}return c}},{\"../error/validation_error\":304,\"../util/get_type\":306,\n",
       "\"../util/unbundle_jsonlint\":307,\"./validate_enum\":313}],315:[function(t,e,r){\"use strict\";var n=t(\"../error/validation_error\"),i=t(\"../util/get_type\"),a=t(\"./validate\"),o=t(\"./validate_object\"),s=t(\"./validate_array\"),l=t(\"./validate_number\");e.exports=function(t){function e(t){var e=[],a=t.value;return e=e.concat(s({key:t.key,value:a,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:r})),\"array\"===i(a)&&0===a.length&&e.push(new n(t.key,a,\"array must have at least one stop\")),e}function r(t){var e=[],r=t.value,s=t.key;if(\"array\"!==i(r))return[new n(s,r,\"array expected, %s found\",i(r))];if(2!==r.length)return[new n(s,r,\"array length %d expected, length %d found\",2,r.length)];var f=i(r[0]);if(c||(c=f),f!==c)return[new n(s,r,\"%s stop key type must match previous stop key type %s\",f,c)];if(\"object\"===f){if(void 0===r[0].zoom)return[new n(s,r,\"object stop key must have zoom\")];if(void 0===r[0].value)return[new 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e=this.arrayGroups[t],r=0;r<e.length;r++)if(!e[r].isEmpty())return!1;return!0},n.prototype.getTransferables=function(t){for(var e in this.arrayGroups)for(var r=this.arrayGroups[e],n=0;n<r.length;n++)r[n].getTransferables(t)},n.prototype.setUniforms=function(t,e,r,n,i){for(var a=this.paintAttributes[e][n.id].uniforms,o=0;o<a.length;o++){var s=a[o],l=r[s.name];t[\"uniform\"+s.components+\"fv\"](l,s.getValue(n,i))}},n.prototype.serialize=function(){return{layerId:this.layer.id,zoom:this.zoom,arrays:c.mapObject(this.arrayGroups,function(t){return t.map(function(t){return t.serialize()})}),paintVertexArrayTypes:c.mapObject(this.paintVertexArrayTypes,function(t){return c.mapObject(t,function(t){return t.serialize()})}),childLayerIds:this.childLayers.map(function(t){return t.id})}},n.prototype.createFilter=function(){this.filter||(this.filter=s(this.layer.filter))};var d={lastIntegerZoom:1/0,lastIntegerZoomTime:0,lastZoom:0};n.prototype.recalculateStyleLayers=function(){for(var t=0;t<this.childLayers.length;t++)this.childLayers[t].recalculate(this.zoom,d)},n.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a=0;a<this.childLayers.length;a++)for(var o=this.childLayers[a],s=this.arrayGroups[t],l=n.index;l<s.length;l++){var u=s[l],c=u.layoutVertexArray.length,h=u.paintVertexArrays[o.id];h.resize(c);for(var f=this.paintAttributes[t][o.id].attributes,d=0;d<f.length;d++)for(var p=f[d],m=p.getValue(o,e,r),v=p.multiplier||1,g=p.components||1,y=l===n.index?i:0,b=y;b<c;b++)for(var x=h.get(b),_=0;_<g;_++){var w=g>1?p.name+_:p.name;x[w]=m[_]*v}}},n.VertexArrayType=function(t){return new h({members:t,alignment:4})},n.ElementArrayType=function(t){return new h({members:[{type:\"Uint16\",name:\"vertices\",components:t||3}]})}},{\"../util/struct_array\":440,\"../util/util\":442,\"./array_group\":328,\"./bucket/circle_bucket\":330,\"./bucket/fill_bucket\":331,\"./bucket/line_bucket\":332,\"./bucket/symbol_bucket\":333,\"./buffer_group\":335,assert:47,\"feature-filter\":132}],330:[function(t,e,r){\"use strict\";function n(){i.apply(this,arguments)}var i=t(\"../bucket\"),a=t(\"../../util/util\"),o=t(\"../load_geometry\"),s=i.EXTENT;e.exports=n,n.prototype=a.inherit(i,{}),n.prototype.addCircleVertex=function(t,e,r,n,i){return t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)},n.prototype.programInterfaces={circle:{layoutVertexArrayType:new i.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"}]),elementArrayType:new i.ElementArrayType,paintAttributes:[{name:\"a_color\",components:4,type:\"Uint8\",getValue:function(t,e,r){return t.getPaintValue(\"circle-color\",e,r)},multiplier:255,paintProperty:\"circle-color\"},{name:\"a_radius\",components:1,type:\"Uint16\",isLayerConstant:!1,getValue:function(t,e,r){return[t.getPaintValue(\"circle-radius\",e,r)]},multiplier:10,paintProperty:\"circle-radius\"},{name:\"a_blur\",components:1,type:\"Uint16\",isLayerConstant:!1,getValue:function(t,e,r){return[t.getPaintValue(\"circle-blur\",e,r)]},multiplier:10,paintProperty:\"circle-blur\"},{name:\"a_opacity\",components:1,type:\"Uint16\",isLayerConstant:!1,getValue:function(t,e,r){return[t.getPaintValue(\"circle-opacity\",e,r)]},multiplier:255,paintProperty:\"circle-opacity\"}]}},n.prototype.addFeature=function(t){for(var e={zoom:this.zoom},r=o(t),n=this.prepareArrayGroup(\"circle\",0),i=n.layoutVertexArray.length,a=0;a<r.length;a++)for(var l=0;l<r[a].length;l++){var u=r[a][l].x,c=r[a][l].y;if(!(u<0||u>=s||c<0||c>=s)){var h=this.prepareArrayGroup(\"circle\",4),f=h.layoutVertexArray,d=this.addCircleVertex(f,u,c,-1,-1);this.addCircleVertex(f,u,c,1,-1),this.addCircleVertex(f,u,c,1,1),this.addCircleVertex(f,u,c,-1,1),h.elementArray.emplaceBack(d,d+1,d+2),h.elementArray.emplaceBack(d,d+3,d+2)}}this.populatePaintArrays(\"circle\",e,t.properties,n,i)}},{\"../../util/util\":442,\"../bucket\":329,\"../load_geometry\":337}],331:[function(t,e,r){\"use strict\";function n(){i.apply(this,arguments)}var i=t(\"../bucket\"),a=t(\"../../util/util\"),o=t(\"../load_geometry\"),s=t(\"earcut\"),l=t(\"../../util/classify_rings\");e.exports=n,n.prototype=a.inherit(i,{}),n.prototype.programInterfaces={fill:{layoutVertexArrayType:new i.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"}]),elementArrayType:new i.ElementArrayType(1),elementArrayType2:new i.ElementArrayType(2),paintAttributes:[{name:\"a_color\",components:4,type:\"Uint8\",getValue:function(t,e,r){return t.getPaintValue(\"fill-color\",e,r)},multiplier:255,paintProperty:\"fill-color\"},{name:\"a_outline_color\",components:4,type:\"Uint8\",getValue:function(t,e,r){return t.getPaintValue(\"fill-outline-color\",e,r)},multiplier:255,paintProperty:\"fill-outline-color\"},{name:\"a_opacity\",components:1,type:\"Uint8\",getValue:function(t,e,r){return[t.getPaintValue(\"fill-opacity\",e,r)]},multiplier:255,paintProperty:\"fill-opacity\"}]}},n.prototype.addFeature=function(t){for(var e=o(t),r=l(e,500),n=this.prepareArrayGroup(\"fill\",0),i=n.layoutVertexArray.length,a=0;a<r.length;a++)this.addPolygon(r[a]);this.populatePaintArrays(\"fill\",{zoom:this.zoom},t.properties,n,i)},n.prototype.addPolygon=function(t){for(var e=0,r=0;r<t.length;r++)e+=t[r].length;for(var n=this.prepareArrayGroup(\"fill\",e),i=[],a=[],o=n.layoutVertexArray.length,l=0;l<t.length;l++){var u=t[l];l>0&&a.push(i.length/2);for(var c=0;c<u.length;c++){var h=u[c],f=n.layoutVertexArray.emplaceBack(h.x,h.y);c>=1&&n.elementArray2.emplaceBack(f-1,f),i.push(h.x),i.push(h.y)}}for(var d=s(i,a),p=0;p<d.length;p++)n.elementArray.emplaceBack(d[p]+o)}},{\"../../util/classify_rings\":430,\"../../util/util\":442,\"../bucket\":329,\"../load_geometry\":337,earcut:126}],332:[function(t,e,r){\"use strict\";function n(){i.apply(this,arguments)}var i=t(\"../bucket\"),a=t(\"../../util/util\"),o=t(\"../load_geometry\"),s=i.EXTENT,l=Math.cos(Math.PI/180*37.5),u=Math.pow(2,14)/.5;e.exports=n,n.prototype=a.inherit(i,{}),n.prototype.addLineVertex=function(t,e,r,n,i,a,o){return t.emplaceBack(e.x<<1|n,e.y<<1|i,Math.round(63*r.x)+128,Math.round(63*r.y)+128,1+(0===a?0:a<0?-1:1)|(.5*o&63)<<2,.5*o>>6)},n.prototype.programInterfaces={line:{layoutVertexArrayType:new i.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}]),elementArrayType:new i.ElementArrayType}},n.prototype.addFeature=function(t){for(var e=o(t,15),r=0;r<e.length;r++)this.addLine(e[r],this.layer.layout[\"line-join\"],this.layer.layout[\"line-cap\"],this.layer.layout[\"line-miter-limit\"],this.layer.layout[\"line-round-limit\"])},n.prototype.addLine=function(t,e,r,n,i){for(var a=t.length;a>2&&t[a-1].equals(t[a-2]);)a--;if(!(t.length<2)){\"bevel\"===e&&(n=1.05);var o=s/(512*this.overscaling)*15,u=t[0],c=t[a-1],h=u.equals(c);if(this.prepareArrayGroup(\"line\",10*a),2!==a||!h){this.distance=0;var f,d,p,m,v,g,y,b=r,x=h?\"butt\":r,_=!0;this.e1=this.e2=this.e3=-1,h&&(f=t[a-2],v=u.sub(f)._unit()._perp());for(var w=0;w<a;w++)if(!(p=h&&w===a-1?t[1]:t[w+1])||!t[w].equals(p)){v&&(m=v),f&&(d=f),f=t[w],v=p?p.sub(f)._unit()._perp():m,m=m||v;var M=m.add(v)._unit(),k=M.x*v.x+M.y*v.y,A=1/k,T=k<l&&d&&p;if(T&&w>0){var S=f.dist(d);if(S>2*o){var E=f.sub(f.sub(d)._mult(o/S)._round());this.distance+=E.dist(d),this.addCurrentVertex(E,this.distance,m.mult(1),0,0,!1),d=E}}var L=d&&p,C=L?e:p?b:x;if(L&&\"round\"===C&&(A<i?C=\"miter\":A<=2&&(C=\"fakeround\")),\"miter\"===C&&A>n&&(C=\"bevel\"),\"bevel\"===C&&(A>2&&(C=\"flipbevel\"),A<n&&(C=\"miter\")),d&&(this.distance+=f.dist(d)),\"miter\"===C)M._mult(A),this.addCurrentVertex(f,this.distance,M,0,0,!1);else if(\"flipbevel\"===C){if(A>100)M=v.clone();else{var I=m.x*v.y-m.y*v.x>0?-1:1,z=A*m.add(v).mag()/m.sub(v).mag();M._perp()._mult(z*I)}this.addCurrentVertex(f,this.distance,M,0,0,!1),this.addCurrentVertex(f,this.distance,M.mult(-1),0,0,!1)}else if(\"bevel\"===C||\"fakeround\"===C){var D=m.x*v.y-m.y*v.x>0,P=-Math.sqrt(A*A-1);if(D?(y=0,g=P):(g=0,y=P),_||this.addCurrentVertex(f,this.distance,m,g,y,!1),\"fakeround\"===C){for(var O,R=Math.floor(8*(.5-(k-.5))),F=0;F<R;F++)O=v.mult((F+1)/(R+1))._add(m)._unit(),this.addPieSliceVertex(f,this.distance,O,D);this.addPieSliceVertex(f,this.distance,M,D);for(var j=R-1;j>=0;j--)O=m.mult((j+1)/(R+1))._add(v)._unit(),this.addPieSliceVertex(f,this.distance,O,D)}p&&this.addCurrentVertex(f,this.distance,v,-g,-y,!1)}else\"butt\"===C?(_||this.addCurrentVertex(f,this.distance,m,0,0,!1),p&&this.addCurrentVertex(f,this.distance,v,0,0,!1)):\"square\"===C?(_||(this.addCurrentVertex(f,this.distance,m,1,1,!1),this.e1=this.e2=-1),p&&this.addCurrentVertex(f,this.distance,v,-1,-1,!1)):\"round\"===C&&(_||(this.addCurrentVertex(f,this.distance,m,0,0,!1),this.addCurrentVertex(f,this.distance,m,1,1,!0),this.e1=this.e2=-1),p&&(this.addCurrentVertex(f,this.distance,v,-1,-1,!0),this.addCurrentVertex(f,this.distance,v,0,0,!1)));if(T&&w<a-1){var N=f.dist(p);if(N>2*o){var B=f.add(p.sub(f)._mult(o/N)._round());this.distance+=B.dist(f),this.addCurrentVertex(B,this.distance,v.mult(1),0,0,!1),f=B}}_=!1}}}},n.prototype.addCurrentVertex=function(t,e,r,n,i,a){var o,s=a?1:0,l=this.arrayGroups.line[this.arrayGroups.line.length-1],c=l.layoutVertexArray,h=l.elementArray;o=r.clone(),n&&o._sub(r.perp()._mult(n)),this.e3=this.addLineVertex(c,t,o,s,0,n,e),this.e1>=0&&this.e2>=0&&h.emplaceBack(this.e1,this.e2,this.e3),this.e1=this.e2,this.e2=this.e3,o=r.mult(-1),i&&o._sub(r.perp()._mult(i)),this.e3=this.addLineVertex(c,t,o,s,1,-i,e),this.e1>=0&&this.e2>=0&&h.emplaceBack(this.e1,this.e2,this.e3),this.e1=this.e2,this.e2=this.e3,e>u/2&&(this.distance=0,this.addCurrentVertex(t,this.distance,r,n,i,a))},n.prototype.addPieSliceVertex=function(t,e,r,n){var i=n?1:0;r=r.mult(n?-1:1);var a=this.arrayGroups.line[this.arrayGroups.line.length-1],o=a.layoutVertexArray,s=a.elementArray;this.e3=this.addLineVertex(o,t,r,0,i,0,e),this.e1>=0&&this.e2>=0&&s.emplaceBack(this.e1,this.e2,this.e3),n?this.e2=this.e3:this.e1=this.e3}},{\"../../util/util\":442,\"../bucket\":329,\"../load_geometry\":337}],333:[function(t,e,r){\"use strict\";function n(t){o.apply(this,arguments),this.showCollisionBoxes=t.showCollisionBoxes,this.overscaling=t.overscaling,this.collisionBoxArray=t.collisionBoxArray,this.symbolQuadsArray=t.symbolQuadsArray,this.symbolInstancesArray=t.symbolInstancesArray,this.sdfIcons=t.sdfIcons,this.iconsNeedLinear=t.iconsNeedLinear,this.adjustedTextSize=t.adjustedTextSize,this.adjustedIconSize=t.adjustedIconSize,this.fontstack=t.fontstack}function i(t,e,r,n,i,a,o,s,l,u,c){return t.emplaceBack(e,r,Math.round(64*n),Math.round(64*i),a/4,o/4,10*(u||0),c,10*(s||0),10*Math.min(l||25,25))}var a=t(\"point-geometry\"),o=t(\"../bucket\"),s=t(\"../../symbol/anchor\"),l=t(\"../../symbol/get_anchors\"),u=t(\"../../util/token\"),c=t(\"../../symbol/quads\"),h=t(\"../../symbol/shaping\"),f=t(\"../../symbol/resolve_text\"),d=t(\"../../symbol/mergelines\"),p=t(\"../../symbol/clip_line\"),m=t(\"../../util/util\"),v=t(\"../load_geometry\"),g=t(\"../../symbol/collision_feature\"),y=h.shapeText,b=h.shapeIcon,x=c.getGlyphQuads,_=c.getIconQuads,w=o.EXTENT;e.exports=n,n.MAX_QUADS=65535,n.prototype=m.inherit(o,{}),n.prototype.serialize=function(){var t=o.prototype.serialize.apply(this);return t.sdfIcons=this.sdfIcons,t.iconsNeedLinear=this.iconsNeedLinear,t.adjustedTextSize=this.adjustedTextSize,t.adjustedIconSize=this.adjustedIconSize,t.fontstack=this.fontstack,t};var M=new o.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_offset\",components:2,type:\"Int16\"},{name:\"a_texture_pos\",components:2,type:\"Uint16\"},{name:\"a_data\",components:4,type:\"Uint8\"}]),k=new o.ElementArrayType;n.prototype.addCollisionBoxVertex=function(t,e,r,n,i){return t.emplaceBack(e.x,e.y,Math.round(r.x),Math.round(r.y),10*n,10*i)},n.prototype.programInterfaces={glyph:{layoutVertexArrayType:M,elementArrayType:k},icon:{layoutVertexArrayType:M,elementArrayType:k},collisionBox:{layoutVertexArrayType:new o.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_extrude\",components:2,type:\"Int16\"},{name:\"a_data\",components:2,type:\"Uint8\"}])}},n.prototype.populateArrays=function(t,e,r){var n={lastIntegerZoom:1/0,lastIntegerZoomTime:0,lastZoom:0};this.adjustedTextMaxSize=this.layer.getLayoutValue(\"text-size\",{zoom:18,zoomHistory:n}),this.adjustedTextSize=this.layer.getLayoutValue(\"text-size\",{zoom:this.zoom+1,zoomHistory:n}),this.adjustedIconMaxSize=this.layer.getLayoutValue(\"icon-size\",{zoom:18,zoomHistory:n}),this.adjustedIconSize=this.layer.getLayoutValue(\"icon-size\",{zoom:this.zoom+1,zoomHistory:n});var i=512*this.overscaling;this.tilePixelRatio=w/i,this.compareText={},this.iconsNeedLinear=!1,this.symbolInstancesStartIndex=this.symbolInstancesArray.length;var a=this.layer.layout,o=this.features,s=this.textFeatures,l=.5,c=.5;switch(a[\"text-anchor\"]){case\"right\":case\"top-right\":case\"bottom-right\":l=1;break;case\"left\":case\"top-left\":case\"bottom-left\":l=0}switch(a[\"text-anchor\"]){case\"bottom\":case\"bottom-right\":case\"bottom-left\":c=1;break;case\"top\":case\"top-right\":case\"top-left\":c=0}for(var h=\"right\"===a[\"text-justify\"]?1:\"left\"===a[\"text-justify\"]?0:.5,f=24*a[\"text-line-height\"],p=\"line\"!==a[\"symbol-placement\"]?24*a[\"text-max-width\"]:0,g=24*a[\"text-letter-spacing\"],x=[24*a[\"text-offset\"][0],24*a[\"text-offset\"][1]],_=this.fontstack=a[\"text-font\"].join(\",\"),M=[],k=0;k<o.length;k++)M.push(v(o[k]));if(\"line\"===a[\"symbol-placement\"]){var A=d(o,s,M);M=A.geometries,o=A.features,s=A.textFeatures}for(var T,S,E=0;E<o.length;E++)if(M[E]){if(T=s[E]?y(s[E],e[_],p,f,l,c,h,g,x):null,a[\"icon-image\"]){var L=u(o[E].properties,a[\"icon-image\"]),C=r[L];S=b(C,a),C&&(void 0===this.sdfIcons?this.sdfIcons=C.sdf:this.sdfIcons!==C.sdf&&m.warnOnce(\"Style sheet warning: Cannot mix SDF and non-SDF icons in one buffer\"),1!==C.pixelRatio?this.iconsNeedLinear=!0:0===a[\"icon-rotate\"]&&this.layer.isLayoutValueFeatureConstant(\"icon-rotate\")||(this.iconsNeedLinear=!0))}else S=null;(T||S)&&this.addFeature(M[E],T,S,o[E])}this.symbolInstancesEndIndex=this.symbolInstancesArray.length,this.placeFeatures(t,this.showCollisionBoxes),this.trimArrays()},n.prototype.addFeature=function(t,e,r,n){var i=this.layer.layout,a=this.adjustedTextSize/24,o=void 0!==this.adjustedTextMaxSize?this.adjustedTextMaxSize:this.adjustedTextSize,u=this.tilePixelRatio*a,c=this.tilePixelRatio*o/24,h=this.tilePixelRatio*this.adjustedIconSize,f=this.tilePixelRatio*i[\"symbol-spacing\"],d=i[\"symbol-avoid-edges\"],m=i[\"text-padding\"]*this.tilePixelRatio,v=i[\"icon-padding\"]*this.tilePixelRatio,g=i[\"text-max-angle\"]/180*Math.PI,y=\"map\"===i[\"text-rotation-alignment\"]&&\"line\"===i[\"symbol-placement\"],b=\"map\"===i[\"icon-rotation-alignment\"]&&\"line\"===i[\"symbol-placement\"],x=i[\"text-allow-overlap\"]||i[\"icon-allow-overlap\"]||i[\"text-ignore-placement\"]||i[\"icon-ignore-placement\"],_=\"line\"===i[\"symbol-placement\"],M=f/2;_&&(t=p(t,0,0,w,w));for(var k=0;k<t.length;k++){var A,T=t[k];A=_?l(T,f,g,e,r,24,c,this.overscaling,w):[new s(T[0].x,T[0].y,0)];for(var S=0,E=A.length;S<E;S++){var L=A[S];if(!(e&&_&&this.anchorIsTooClose(e.text,M,L))){var C=!(L.x<0||L.x>w||L.y<0||L.y>w);if(!d||C){var I=C||x;this.addSymbolInstance(L,T,e,r,this.layer,I,this.symbolInstancesArray.length,this.collisionBoxArray,n.index,this.sourceLayerIndex,this.index,u,m,y,h,v,b,{zoom:this.zoom},n.properties)}}}}},n.prototype.anchorIsTooClose=function(t,e,r){var n=this.compareText;if(t in n){for(var i=n[t],a=i.length-1;a>=0;a--)if(r.dist(i[a])<e)return!0}else n[t]=[];return n[t].push(r),!1},n.prototype.placeFeatures=function(t,e){this.recalculateStyleLayers(),this.createArrays();var r=this.layer.layout,n=t.maxScale,i=\"map\"===r[\"text-rotation-alignment\"]&&\"line\"===r[\"symbol-placement\"],a=\"map\"===r[\"icon-rotation-alignment\"]&&\"line\"===r[\"symbol-placement\"];if(r[\"text-allow-overlap\"]||r[\"icon-allow-overlap\"]||r[\"text-ignore-placement\"]||r[\"icon-ignore-placement\"]){var o=this.symbolInstancesArray.toArray(this.symbolInstancesStartIndex,this.symbolInstancesEndIndex),s=t.angle,l=Math.sin(s),u=Math.cos(s);this.sortedSymbolInstances=o.sort(function(t,e){return(l*t.anchorPointX+u*t.anchorPointY|0)-(l*e.anchorPointX+u*e.anchorPointY|0)||e.index-t.index})}for(var c=this.symbolInstancesStartIndex;c<this.symbolInstancesEndIndex;c++){var h=this.sortedSymbolInstances?this.sortedSymbolInstances[c-this.symbolInstancesStartIndex]:this.symbolInstancesArray.get(c),f={boxStartIndex:h.textBoxStartIndex,boxEndIndex:h.textBoxEndIndex},d={boxStartIndex:h.iconBoxStartIndex,boxEndIndex:h.iconBoxEndIndex},p=!(h.textBoxStartIndex===h.textBoxEndIndex),m=!(h.iconBoxStartIndex===h.iconBoxEndIndex),v=r[\"text-optional\"]||!p,g=r[\"icon-optional\"]||!m,y=p?t.placeCollisionFeature(f,r[\"text-allow-overlap\"],r[\"symbol-avoid-edges\"]):t.minScale,b=m?t.placeCollisionFeature(d,r[\"icon-allow-overlap\"],r[\"symbol-avoid-edges\"]):t.minScale;v||g?!g&&y?y=Math.max(b,y):!v&&b&&(b=Math.max(b,y)):b=y=Math.max(b,y),p&&(t.insertCollisionFeature(f,y,r[\"text-ignore-placement\"]),y<=n&&this.addSymbols(\"glyph\",h.glyphQuadStartIndex,h.glyphQuadEndIndex,y,r[\"text-keep-upright\"],i,t.angle)),m&&(t.insertCollisionFeature(d,b,r[\"icon-ignore-placement\"]),b<=n&&this.addSymbols(\"icon\",h.iconQuadStartIndex,h.iconQuadEndIndex,b,r[\"icon-keep-upright\"],a,t.angle))}e&&this.addToDebugBuffers(t)},n.prototype.addSymbols=function(t,e,r,n,a,o,s){for(var l=this.prepareArrayGroup(t,4*(r-e)),u=l.elementArray,c=l.layoutVertexArray,h=this.zoom,f=Math.max(Math.log(n)/Math.LN2+h,0),d=e;d<r;d++){var p=this.symbolQuadsArray.get(d).SymbolQuad,m=(p.anchorAngle+s+Math.PI)%(2*Math.PI);if(!(a&&o&&(m<=Math.PI/2||m>3*Math.PI/2))){var v=p.tl,g=p.tr,y=p.bl,b=p.br,x=p.tex,_=p.anchorPoint,w=Math.max(h+Math.log(p.minScale)/Math.LN2,f),M=Math.min(h+Math.log(p.maxScale)/Math.LN2,25);if(!(M<=w)){w===f&&(w=0);var k=Math.round(p.glyphAngle/(2*Math.PI)*256),A=i(c,_.x,_.y,v.x,v.y,x.x,x.y,w,M,f,k);i(c,_.x,_.y,g.x,g.y,x.x+x.w,x.y,w,M,f,k),i(c,_.x,_.y,y.x,y.y,x.x,x.y+x.h,w,M,f,k),i(c,_.x,_.y,b.x,b.y,x.x+x.w,x.y+x.h,w,M,f,k),u.emplaceBack(A,A+1,A+2),u.emplaceBack(A+1,A+2,A+3)}}}},n.prototype.updateIcons=function(t){this.recalculateStyleLayers();var e=this.layer.layout[\"icon-image\"];if(e)for(var r=0;r<this.features.length;r++){var n=u(this.features[r].properties,e);n&&(t[n]=!0)}},n.prototype.updateFont=function(t){this.recalculateStyleLayers();var e=this.layer.layout[\"text-font\"],r=t[e]=t[e]||{};this.textFeatures=f(this.features,this.layer.layout,r)},n.prototype.addToDebugBuffers=function(t){for(var e=this.prepareArrayGroup(\"collisionBox\",0),r=e.layoutVertexArray,n=-t.angle,i=t.yStretch,o=this.symbolInstancesStartIndex;o<this.symbolInstancesEndIndex;o++){var s=this.symbolInstancesArray.get(o);s.textCollisionFeature={boxStartIndex:s.textBoxStartIndex,boxEndIndex:s.textBoxEndIndex},s.iconCollisionFeature={boxStartIndex:s.iconBoxStartIndex,boxEndIndex:s.iconBoxEndIndex};for(var l=0;l<2;l++){var u=s[0===l?\"textCollisionFeature\":\"iconCollisionFeature\"];if(u)for(var c=u.boxStartIndex;c<u.boxEndIndex;c++){var h=this.collisionBoxArray.get(c),f=h.anchorPoint,d=new a(h.x1,h.y1*i)._rotate(n),p=new a(h.x2,h.y1*i)._rotate(n),m=new a(h.x1,h.y2*i)._rotate(n),v=new a(h.x2,h.y2*i)._rotate(n),g=Math.max(0,Math.min(25,this.zoom+Math.log(h.maxScale)/Math.LN2)),y=Math.max(0,Math.min(25,this.zoom+Math.log(h.placementScale)/Math.LN2));this.addCollisionBoxVertex(r,f,d,g,y),this.addCollisionBoxVertex(r,f,p,g,y),this.addCollisionBoxVertex(r,f,p,g,y),this.addCollisionBoxVertex(r,f,v,g,y),this.addCollisionBoxVertex(r,f,v,g,y),this.addCollisionBoxVertex(r,f,m,g,y),this.addCollisionBoxVertex(r,f,m,g,y),this.addCollisionBoxVertex(r,f,d,g,y)}}}},n.prototype.addSymbolInstance=function(t,e,r,i,a,o,s,l,u,c,h,f,d,p,v,y,b,w,M){var k,A,T,S,E,L,C,I;if(r&&(C=o?x(t,r,f,e,a,p):[],E=new g(l,e,t,u,c,h,r,f,d,p,!1)),k=this.symbolQuadsArray.length,C&&C.length)for(var z=0;z<C.length;z++)this.addSymbolQuad(C[z]);A=this.symbolQuadsArray.length;var D=E?E.boxStartIndex:this.collisionBoxArray.length,P=E?E.boxEndIndex:this.collisionBoxArray.length;i&&(I=o?_(t,i,v,e,a,b,r,w,M):[],L=new g(l,e,t,u,c,h,i,v,y,b,!0)),T=this.symbolQuadsArray.length,I&&1===I.length&&this.addSymbolQuad(I[0]),S=this.symbolQuadsArray.length;var O=L?L.boxStartIndex:this.collisionBoxArray.length,R=L?L.boxEndIndex:this.collisionBoxArray.length;return S>n.MAX_QUADS&&m.warnOnce(\"Too many symbols being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\"),A>n.MAX_QUADS&&m.warnOnce(\"Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\"),this.symbolInstancesArray.emplaceBack(D,P,O,R,k,A,T,S,t.x,t.y,s)},n.prototype.addSymbolQuad=function(t){return this.symbolQuadsArray.emplaceBack(t.anchorPoint.x,t.anchorPoint.y,t.tl.x,t.tl.y,t.tr.x,t.tr.y,t.bl.x,t.bl.y,t.br.x,t.br.y,t.tex.h,t.tex.w,t.tex.x,t.tex.y,t.anchorAngle,t.glyphAngle,t.maxScale,t.minScale)}},{\"../../symbol/anchor\":391,\"../../symbol/clip_line\":393,\"../../symbol/collision_feature\":395,\"../../symbol/get_anchors\":397,\"../../symbol/mergelines\":400,\"../../symbol/quads\":401,\"../../symbol/resolve_text\":402,\"../../symbol/shaping\":403,\"../../util/token\":441,\"../../util/util\":442,\"../bucket\":329,\"../load_geometry\":337,\"point-geometry\":484}],334:[function(t,e,r){\"use strict\";function n(t,e,r){this.arrayBuffer=t.arrayBuffer,this.length=t.length,this.attributes=e.members,this.itemSize=e.bytesPerElement,this.type=r,this.arrayType=e}e.exports=n,n.prototype.bind=function(t){var e=t[this.type];this.buffer?t.bindBuffer(e,this.buffer):(this.buffer=t.createBuffer(),t.bindBuffer(e,this.buffer),t.bufferData(e,this.arrayBuffer,t.STATIC_DRAW),this.arrayBuffer=null)};var i={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\"};n.prototype.setVertexAttribPointers=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],a=e[n.name];void 0!==a&&t.vertexAttribPointer(a,n.components,t[i[n.type]],!1,this.arrayType.bytesPerElement,n.offset)}},n.prototype.destroy=function(t){this.buffer&&t.deleteBuffer(this.buffer)},n.BufferType={VERTEX:\"ARRAY_BUFFER\",ELEMENT:\"ELEMENT_ARRAY_BUFFER\"}},{}],335:[function(t,e,r){\"use strict\";function n(t,e){this.layoutVertexBuffer=new a(t.layoutVertexArray,e.layoutVertexArrayType,a.BufferType.VERTEX),t.elementArray&&(this.elementBuffer=new a(t.elementArray,e.elementArrayType,a.BufferType.ELEMENT));var r,n=this.vaos={};t.elementArray2&&(this.elementBuffer2=new a(t.elementArray2,e.elementArrayType2,a.BufferType.ELEMENT),r=this.secondVaos={}),this.paintVertexBuffers=i.mapObject(t.paintVertexArrays,function(i,s){return n[s]=new o,t.elementArray2&&(r[s]=new o),new a(i,e.paintVertexArrayTypes[s],a.BufferType.VERTEX)})}var i=t(\"../util/util\"),a=t(\"./buffer\"),o=t(\"../render/vertex_array_object\");e.exports=n,n.prototype.destroy=function(t){this.layoutVertexBuffer.destroy(t),this.elementBuffer&&this.elementBuffer.destroy(t),this.elementBuffer2&&this.elementBuffer2.destroy(t);for(var e in this.paintVertexBuffers)this.paintVertexBuffers[e].destroy(t);for(var r in this.vaos)this.vaos[r].destroy(t);for(var n in this.secondVaos)this.secondVaos[n].destroy(t)}},{\"../render/vertex_array_object\":357,\"../util/util\":442,\"./buffer\":334}],336:[function(t,e,r){\"use strict\";function n(t,e,r){if(t.grid){var n=t,i=e;t=n.coord,e=n.overscaling,this.grid=new p(n.grid),this.featureIndexArray=new k(n.featureIndexArray),this.rawTileData=i,this.bucketLayerIDs=n.bucketLayerIDs}else this.grid=new p(h,16,0),this.featureIndexArray=new k;this.coord=t,this.overscaling=e,this.x=t.x,this.y=t.y,this.z=t.z-Math.log(e)/Math.LN2,this.setCollisionTile(r)}function i(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function a(t,e){return e-t}function o(t){return t[\"line-gap-width\"]>0?t[\"line-gap-width\"]+2*t[\"line-width\"]:t[\"line-width\"]}function s(t,e,r,n,i){if(!e[0]&&!e[1])return t;e=u.convert(e),\"viewport\"===r&&e._rotate(-n);for(var a=[],o=0;o<t.length;o++){for(var s=t[o],l=[],c=0;c<s.length;c++)l.push(s[c].sub(e._mult(i)));a.push(l)}return a}function l(t,e){for(var r=[],n=new u(0,0),i=0;i<t.length;i++){for(var a=t[i],o=[],s=0;s<a.length;s++){var l=a[s-1],c=a[s],h=a[s+1],f=0===s?n:c.sub(l)._unit()._perp(),d=s===a.length-1?n:h.sub(c)._unit()._perp(),p=f._add(d)._unit(),m=p.x*d.x+p.y*d.y;p._mult(1/m),o.push(p._mult(e)._add(c))}r.push(o)}return r}var u=t(\"point-geometry\"),c=t(\"./load_geometry\"),h=t(\"./bucket\").EXTENT,f=t(\"feature-filter\"),d=t(\"../util/struct_array\"),p=t(\"grid-index\"),m=t(\"../util/dictionary_coder\"),v=t(\"vector-tile\"),g=t(\"pbf\"),y=t(\"../util/vectortile_to_geojson\"),b=t(\"../util/util\").arraysIntersect,x=t(\"../util/intersection_tests\"),_=x.multiPolygonIntersectsBufferedMultiPoint,w=x.multiPolygonIntersectsMultiPolygon,M=x.multiPolygonIntersectsBufferedMultiLine,k=new d({members:[{type:\"Uint32\",name:\"featureIndex\"},{type:\"Uint16\",name:\"sourceLayerIndex\"},{type:\"Uint16\",name:\"bucketIndex\"}]});e.exports=n,n.prototype.insert=function(t,e,r,n){var i=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(e,r,n);for(var a=c(t),o=0;o<a.length;o++){for(var s=a[o],l=[1/0,1/0,-1/0,-1/0],u=0;u<s.length;u++){var h=s[u];l[0]=Math.min(l[0],h.x),l[1]=Math.min(l[1],h.y),l[2]=Math.max(l[2],h.x),l[3]=Math.max(l[3],h.y)}this.grid.insert(i,l[0],l[1],l[2],l[3])}},n.prototype.setCollisionTile=function(t){this.collisionTile=t},n.prototype.serialize=function(){var t={coord:this.coord,overscaling:this.overscaling,grid:this.grid.toArrayBuffer(),featureIndexArray:this.featureIndexArray.serialize(),bucketLayerIDs:this.bucketLayerIDs};return{data:t,transferables:[t.grid,t.featureIndexArray.arrayBuffer]}},n.prototype.query=function(t,e){this.vtLayers||(this.vtLayers=new v.VectorTile(new g(new Uint8Array(this.rawTileData))).layers,this.sourceLayerCoder=new m(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"]));var r={},n=t.params||{},s=h/t.tileSize/t.scale,l=f(n.filter),c=0;for(var d in e){var p=e[d],y=p.paint,b=0;\"line\"===p.type?b=o(y)/2+Math.abs(y[\"line-offset\"])+i(y[\"line-translate\"]):\"fill\"===p.type?b=i(y[\"fill-translate\"]):\"circle\"===p.type&&(b=y[\"circle-radius\"]+i(y[\"circle-translate\"])),c=Math.max(c,b*s)}for(var x=t.queryGeometry.map(function(t){return t.map(function(t){return new u(t.x,t.y)})}),_=1/0,w=1/0,M=-1/0,k=-1/0,A=0;A<x.length;A++)for(var T=x[A],S=0;S<T.length;S++){var E=T[S];_=Math.min(_,E.x),w=Math.min(w,E.y),M=Math.max(M,E.x),k=Math.max(k,E.y)}var L=this.grid.query(_-c,w-c,M+c,k+c);L.sort(a),this.filterMatching(r,L,this.featureIndexArray,x,l,n.layers,e,t.bearing,s);var C=this.collisionTile.queryRenderedSymbols(_,w,M,k,t.scale);return C.sort(),this.filterMatching(r,C,this.collisionTile.collisionBoxArray,x,l,n.layers,e,t.bearing,s),r},n.prototype.filterMatching=function(t,e,r,n,i,a,u,h,f){for(var d,p=0;p<e.length;p++){var m=e[p];if(m!==d){d=m;var v=r.get(m),g=this.bucketLayerIDs[v.bucketIndex];if(!a||b(a,g)){var x=this.sourceLayerCoder.decode(v.sourceLayerIndex),k=this.vtLayers[x],A=k.feature(v.featureIndex);if(i(A))for(var T=null,S=0;S<g.length;S++){var E=g[S];if(!(a&&a.indexOf(E)<0)){var L=u[E];if(L){var C;if(\"symbol\"!==L.type){T||(T=c(A));var I=L.paint;if(\"line\"===L.type){C=s(n,I[\"line-translate\"],I[\"line-translate-anchor\"],h,f);var z=o(I)/2*f;if(I[\"line-offset\"]&&(T=l(T,I[\"line-offset\"]*f)),!M(C,T,z))continue}else if(\"fill\"===L.type){if(C=s(n,I[\"fill-translate\"],I[\"fill-translate-anchor\"],h,f),!w(C,T))continue}else if(\"circle\"===L.type){C=s(n,I[\"circle-translate\"],I[\"circle-translate-anchor\"],h,f);var D=I[\"circle-radius\"]*f;if(!_(C,T,D))continue}}var P=new y(A,this.z,this.x,this.y);P.layer=L.serialize({includeRefProperties:!0});var O=t[E];void 0===O&&(O=t[E]=[]),O.push(P)}}}}}}}},{\"../util/dictionary_coder\":432,\"../util/intersection_tests\":437,\"../util/struct_array\":440,\"../util/util\":442,\"../util/vectortile_to_geojson\":443,\"./bucket\":329,\"./load_geometry\":337,\"feature-filter\":132,\"grid-index\":287,pbf:478,\"point-geometry\":484,\"vector-tile\":550}],337:[function(t,e,r){\"use strict\";function n(t){return{min:-1*Math.pow(2,t-1),max:Math.pow(2,t-1)-1}}var i=t(\"../util/util\"),a=t(\"./bucket\").EXTENT,o=t(\"assert\"),s={15:n(15),16:n(16)};e.exports=function(t,e){var r=s[e||16];o(r);for(var n=a/t.extent,l=t.loadGeometry(),u=0;u<l.length;u++)for(var c=l[u],h=0;h<c.length;h++){var f=c[h];f.x=Math.round(f.x*n),f.y=Math.round(f.y*n),(f.x<r.min||f.x>r.max||f.y<r.min||f.y>r.max)&&i.warnOnce(\"Geometry exceeds allowed extent, reduce your vector tile buffer size\")}return l}},{\"../util/util\":442,\"./bucket\":329,assert:47}],338:[function(t,e,r){\"use strict\";function n(t,e,r){this.column=t,this.row=e,this.zoom=r}e.exports=n,n.prototype={clone:function(){return new n(this.column,this.row,this.zoom)},zoomTo:function(t){return this.clone()._zoomTo(t)},sub:function(t){return this.clone()._sub(t)},_zoomTo:function(t){var e=Math.pow(2,t-this.zoom);return this.column*=e,this.row*=e,this.zoom=t,this},_sub:function(t){return t=t.zoomTo(this.zoom),this.column-=t.column,this.row-=t.row,this}}},{}],339:[function(t,e,r){\"use strict\";function n(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")}e.exports=n\n",
       ";var i=t(\"../util/util\").wrap;n.prototype.wrap=function(){return new n(i(this.lng,-180,180),this.lat)},n.prototype.toArray=function(){return[this.lng,this.lat]},n.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},n.convert=function(t){return t instanceof n?t:Array.isArray(t)?new n(t[0],t[1]):t}},{\"../util/util\":442}],340:[function(t,e,r){\"use strict\";function n(t,e){t&&(e?this.extend(t).extend(e):4===t.length?this.extend([t[0],t[1]]).extend([t[2],t[3]]):this.extend(t[0]).extend(t[1]))}e.exports=n;var i=t(\"./lng_lat\");n.prototype={extend:function(t){var e,r,a=this._sw,o=this._ne;if(t instanceof i)e=t,r=t;else{if(!(t instanceof n))return t?this.extend(i.convert(t)||n.convert(t)):this;if(e=t._sw,r=t._ne,!e||!r)return this}return a||o?(a.lng=Math.min(e.lng,a.lng),a.lat=Math.min(e.lat,a.lat),o.lng=Math.max(r.lng,o.lng),o.lat=Math.max(r.lat,o.lat)):(this._sw=new i(e.lng,e.lat),this._ne=new i(r.lng,r.lat)),this},getCenter:function(){return new i((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},getSouthWest:function(){return this._sw},getNorthEast:function(){return this._ne},getNorthWest:function(){return new i(this.getWest(),this.getNorth())},getSouthEast:function(){return new i(this.getEast(),this.getSouth())},getWest:function(){return this._sw.lng},getSouth:function(){return this._sw.lat},getEast:function(){return this._ne.lng},getNorth:function(){return this._ne.lat},toArray:function(){return[this._sw.toArray(),this._ne.toArray()]},toString:function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"}},n.convert=function(t){return!t||t instanceof n?t:new n(t)}},{\"./lng_lat\":339}],341:[function(t,e,r){\"use strict\";function n(t,e){this.tileSize=512,this._minZoom=t||0,this._maxZoom=e||22,this.latRange=[-85.05113,85.05113],this.width=0,this.height=0,this._center=new i(0,0),this.zoom=0,this.angle=0,this._altitude=1.5,this._pitch=0,this._unmodified=!0}var i=t(\"./lng_lat\"),a=t(\"point-geometry\"),o=t(\"./coordinate\"),s=t(\"../util/util\").wrap,l=t(\"../util/interpolate\"),u=t(\"../source/tile_coord\"),c=t(\"../data/bucket\").EXTENT,h=t(\"gl-matrix\"),f=h.vec4,d=h.mat4,p=h.mat2;e.exports=n,n.prototype={get minZoom(){return this._minZoom},set minZoom(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},get maxZoom(){return this._maxZoom},set maxZoom(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},get worldSize(){return this.tileSize*this.scale},get centerPoint(){return this.size._div(2)},get size(){return new a(this.width,this.height)},get bearing(){return-this.angle/Math.PI*180},set bearing(t){var e=-s(t,-180,180)*Math.PI/180;this.angle!==e&&(this._unmodified=!1,this.angle=e,this._calcMatrices(),this.rotationMatrix=p.create(),p.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},get pitch(){return this._pitch/Math.PI*180},set pitch(t){var e=Math.min(60,t)/180*Math.PI;this._pitch!==e&&(this._unmodified=!1,this._pitch=e,this._calcMatrices())},get altitude(){return this._altitude},set altitude(t){var e=Math.max(.75,t);this._altitude!==e&&(this._unmodified=!1,this._altitude=e,this._calcMatrices())},get zoom(){return this._zoom},set zoom(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._calcMatrices(),this._constrain())},get center(){return this._center},set center(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._calcMatrices(),this._constrain())},coveringZoomLevel:function(t){return(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize))},coveringTiles:function(t){var e=this.coveringZoomLevel(t),r=e;if(e<t.minzoom)return[];e>t.maxzoom&&(e=t.maxzoom);var n=this,i=n.locationCoordinate(n.center)._zoomTo(e),o=new a(i.column-.5,i.row-.5);return u.cover(e,[n.pointCoordinate(new a(0,0))._zoomTo(e),n.pointCoordinate(new a(n.width,0))._zoomTo(e),n.pointCoordinate(new a(n.width,n.height))._zoomTo(e),n.pointCoordinate(new a(0,n.height))._zoomTo(e)],t.reparseOverscaled?r:e).sort(function(t,e){return o.dist(t)-o.dist(e)})},resize:function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._calcMatrices(),this._constrain()},get unmodified(){return this._unmodified},zoomScale:function(t){return Math.pow(2,t)},scaleZoom:function(t){return Math.log(t)/Math.LN2},project:function(t,e){return new a(this.lngX(t.lng,e),this.latY(t.lat,e))},unproject:function(t,e){return new i(this.xLng(t.x,e),this.yLat(t.y,e))},get x(){return this.lngX(this.center.lng)},get y(){return this.latY(this.center.lat)},get point(){return new a(this.x,this.y)},lngX:function(t,e){return(180+t)*(e||this.worldSize)/360},latY:function(t,e){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))*(e||this.worldSize)/360},xLng:function(t,e){return 360*t/(e||this.worldSize)-180},yLat:function(t,e){var r=180-360*t/(e||this.worldSize);return 360/Math.PI*Math.atan(Math.exp(r*Math.PI/180))-90},panBy:function(t){var e=this.centerPoint._add(t);this.center=this.pointLocation(e)},setLocationAtPoint:function(t,e){var r=this.locationCoordinate(t),n=this.pointCoordinate(e),i=this.pointCoordinate(this.centerPoint),a=n._sub(r);this._unmodified=!1,this.center=this.coordinateLocation(i._sub(a))},locationPoint:function(t){return this.coordinatePoint(this.locationCoordinate(t))},pointLocation:function(t){return this.coordinateLocation(this.pointCoordinate(t))},locationCoordinate:function(t){var e=this.zoomScale(this.tileZoom)/this.worldSize,r=i.convert(t);return new o(this.lngX(r.lng)*e,this.latY(r.lat)*e,this.tileZoom)},coordinateLocation:function(t){var e=this.zoomScale(t.zoom);return new i(this.xLng(t.column,e),this.yLat(t.row,e))},pointCoordinate:function(t){var e=[t.x,t.y,0,1],r=[t.x,t.y,1,1];f.transformMat4(e,e,this.pixelMatrixInverse),f.transformMat4(r,r,this.pixelMatrixInverse);var n=e[3],i=r[3],a=e[0]/n,s=r[0]/i,u=e[1]/n,c=r[1]/i,h=e[2]/n,d=r[2]/i,p=h===d?0:(0-h)/(d-h),m=this.worldSize/this.zoomScale(this.tileZoom);return new o(l(a,s,p)/m,l(u,c,p)/m,this.tileZoom)},coordinatePoint:function(t){var e=this.worldSize/this.zoomScale(t.zoom),r=[t.column*e,t.row*e,0,1];return f.transformMat4(r,r,this.pixelMatrix),new a(r[0]/r[3],r[1]/r[3])},calculatePosMatrix:function(t,e){void 0===e&&(e=1/0),t instanceof u&&(t=t.toCoordinate(e));var r=Math.min(t.zoom,e),n=this.worldSize/Math.pow(2,r),i=new Float64Array(16);return d.identity(i),d.translate(i,i,[t.column*n,t.row*n,0]),d.scale(i,i,[n/c,n/c,1]),d.multiply(i,this.projMatrix,i),new Float32Array(i)},_constrain:function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var t,e,r,n,i,o,s,l,u=this.size,c=this._unmodified;this.latRange&&(t=this.latY(this.latRange[1]),e=this.latY(this.latRange[0]),i=e-t<u.y?u.y/(e-t):0),this.lngRange&&(r=this.lngX(this.lngRange[0]),n=this.lngX(this.lngRange[1]),o=n-r<u.x?u.x/(n-r):0);var h=Math.max(o||0,i||0);if(h)return this.center=this.unproject(new a(o?(n+r)/2:this.x,i?(e+t)/2:this.y)),this.zoom+=this.scaleZoom(h),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var f=this.y,d=u.y/2;f-d<t&&(l=t+d),f+d>e&&(l=e-d)}if(this.lngRange){var p=this.x,m=u.x/2;p-m<r&&(s=r+m),p+m>n&&(s=n-m)}void 0===s&&void 0===l||(this.center=this.unproject(new a(void 0!==s?s:this.x,void 0!==l?l:this.y))),this._unmodified=c,this._constraining=!1}},_calcMatrices:function(){if(this.height){var t=Math.atan(.5/this.altitude),e=Math.sin(t)*this.altitude/Math.sin(Math.PI/2-this._pitch-t),r=Math.cos(Math.PI/2-this._pitch)*e+this.altitude,n=new Float64Array(16);if(d.perspective(n,2*Math.atan(this.height/2/this.altitude),this.width/this.height,.1,r),d.translate(n,n,[0,0,-this.altitude]),d.scale(n,n,[1,-1,1/this.height]),d.rotateX(n,n,this._pitch),d.rotateZ(n,n,this.angle),d.translate(n,n,[-this.x,-this.y,0]),this.projMatrix=n,n=d.create(),d.scale(n,n,[this.width/2,-this.height/2,1]),d.translate(n,n,[1,-1,0]),this.pixelMatrix=d.multiply(new Float64Array(16),n,this.projMatrix),!(n=d.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=n}}}},{\"../data/bucket\":329,\"../source/tile_coord\":369,\"../util/interpolate\":436,\"../util/util\":442,\"./coordinate\":338,\"./lng_lat\":339,\"gl-matrix\":193,\"point-geometry\":484}],342:[function(t,e,r){\"use strict\";var n={\" \":[16,[]],\"!\":[10,[5,21,5,7,-1,-1,5,2,4,1,5,0,6,1,5,2]],'\"':[16,[4,21,4,14,-1,-1,12,21,12,14]],\"#\":[21,[11,25,4,-7,-1,-1,17,25,10,-7,-1,-1,4,12,18,12,-1,-1,3,6,17,6]],$:[20,[8,25,8,-4,-1,-1,12,25,12,-4,-1,-1,17,18,15,20,12,21,8,21,5,20,3,18,3,16,4,14,5,13,7,12,13,10,15,9,16,8,17,6,17,3,15,1,12,0,8,0,5,1,3,3]],\"%\":[24,[21,21,3,0,-1,-1,8,21,10,19,10,17,9,15,7,14,5,14,3,16,3,18,4,20,6,21,8,21,10,20,13,19,16,19,19,20,21,21,-1,-1,17,7,15,6,14,4,14,2,16,0,18,0,20,1,21,3,21,5,19,7,17,7]],\"&\":[26,[23,12,23,13,22,14,21,14,20,13,19,11,17,6,15,3,13,1,11,0,7,0,5,1,4,2,3,4,3,6,4,8,5,9,12,13,13,14,14,16,14,18,13,20,11,21,9,20,8,18,8,16,9,13,11,10,16,3,18,1,20,0,22,0,23,1,23,2]],\"'\":[10,[5,19,4,20,5,21,6,20,6,18,5,16,4,15]],\"(\":[14,[11,25,9,23,7,20,5,16,4,11,4,7,5,2,7,-2,9,-5,11,-7]],\")\":[14,[3,25,5,23,7,20,9,16,10,11,10,7,9,2,7,-2,5,-5,3,-7]],\"*\":[16,[8,21,8,9,-1,-1,3,18,13,12,-1,-1,13,18,3,12]],\"+\":[26,[13,18,13,0,-1,-1,4,9,22,9]],\",\":[10,[6,1,5,0,4,1,5,2,6,1,6,-1,5,-3,4,-4]],\"-\":[26,[4,9,22,9]],\".\":[10,[5,2,4,1,5,0,6,1,5,2]],\"/\":[22,[20,25,2,-7]],0:[20,[9,21,6,20,4,17,3,12,3,9,4,4,6,1,9,0,11,0,14,1,16,4,17,9,17,12,16,17,14,20,11,21,9,21]],1:[20,[6,17,8,18,11,21,11,0]],2:[20,[4,16,4,17,5,19,6,20,8,21,12,21,14,20,15,19,16,17,16,15,15,13,13,10,3,0,17,0]],3:[20,[5,21,16,21,10,13,13,13,15,12,16,11,17,8,17,6,16,3,14,1,11,0,8,0,5,1,4,2,3,4]],4:[20,[13,21,3,7,18,7,-1,-1,13,21,13,0]],5:[20,[15,21,5,21,4,12,5,13,8,14,11,14,14,13,16,11,17,8,17,6,16,3,14,1,11,0,8,0,5,1,4,2,3,4]],6:[20,[16,18,15,20,12,21,10,21,7,20,5,17,4,12,4,7,5,3,7,1,10,0,11,0,14,1,16,3,17,6,17,7,16,10,14,12,11,13,10,13,7,12,5,10,4,7]],7:[20,[17,21,7,0,-1,-1,3,21,17,21]],8:[20,[8,21,5,20,4,18,4,16,5,14,7,13,11,12,14,11,16,9,17,7,17,4,16,2,15,1,12,0,8,0,5,1,4,2,3,4,3,7,4,9,6,11,9,12,13,13,15,14,16,16,16,18,15,20,12,21,8,21]],9:[20,[16,14,15,11,13,9,10,8,9,8,6,9,4,11,3,14,3,15,4,18,6,20,9,21,10,21,13,20,15,18,16,14,16,9,15,4,13,1,10,0,8,0,5,1,4,3]],\":\":[10,[5,14,4,13,5,12,6,13,5,14,-1,-1,5,2,4,1,5,0,6,1,5,2]],\";\":[10,[5,14,4,13,5,12,6,13,5,14,-1,-1,6,1,5,0,4,1,5,2,6,1,6,-1,5,-3,4,-4]],\"<\":[24,[20,18,4,9,20,0]],\"=\":[26,[4,12,22,12,-1,-1,4,6,22,6]],\">\":[24,[4,18,20,9,4,0]],\"?\":[18,[3,16,3,17,4,19,5,20,7,21,11,21,13,20,14,19,15,17,15,15,14,13,13,12,9,10,9,7,-1,-1,9,2,8,1,9,0,10,1,9,2]],\"@\":[27,[18,13,17,15,15,16,12,16,10,15,9,14,8,11,8,8,9,6,11,5,14,5,16,6,17,8,-1,-1,12,16,10,14,9,11,9,8,10,6,11,5,-1,-1,18,16,17,8,17,6,19,5,21,5,23,7,24,10,24,12,23,15,22,17,20,19,18,20,15,21,12,21,9,20,7,19,5,17,4,15,3,12,3,9,4,6,5,4,7,2,9,1,12,0,15,0,18,1,20,2,21,3,-1,-1,19,16,18,8,18,6,19,5]],A:[18,[9,21,1,0,-1,-1,9,21,17,0,-1,-1,4,7,14,7]],B:[21,[4,21,4,0,-1,-1,4,21,13,21,16,20,17,19,18,17,18,15,17,13,16,12,13,11,-1,-1,4,11,13,11,16,10,17,9,18,7,18,4,17,2,16,1,13,0,4,0]],C:[21,[18,16,17,18,15,20,13,21,9,21,7,20,5,18,4,16,3,13,3,8,4,5,5,3,7,1,9,0,13,0,15,1,17,3,18,5]],D:[21,[4,21,4,0,-1,-1,4,21,11,21,14,20,16,18,17,16,18,13,18,8,17,5,16,3,14,1,11,0,4,0]],E:[19,[4,21,4,0,-1,-1,4,21,17,21,-1,-1,4,11,12,11,-1,-1,4,0,17,0]],F:[18,[4,21,4,0,-1,-1,4,21,17,21,-1,-1,4,11,12,11]],G:[21,[18,16,17,18,15,20,13,21,9,21,7,20,5,18,4,16,3,13,3,8,4,5,5,3,7,1,9,0,13,0,15,1,17,3,18,5,18,8,-1,-1,13,8,18,8]],H:[22,[4,21,4,0,-1,-1,18,21,18,0,-1,-1,4,11,18,11]],I:[8,[4,21,4,0]],J:[16,[12,21,12,5,11,2,10,1,8,0,6,0,4,1,3,2,2,5,2,7]],K:[21,[4,21,4,0,-1,-1,18,21,4,7,-1,-1,9,12,18,0]],L:[17,[4,21,4,0,-1,-1,4,0,16,0]],M:[24,[4,21,4,0,-1,-1,4,21,12,0,-1,-1,20,21,12,0,-1,-1,20,21,20,0]],N:[22,[4,21,4,0,-1,-1,4,21,18,0,-1,-1,18,21,18,0]],O:[22,[9,21,7,20,5,18,4,16,3,13,3,8,4,5,5,3,7,1,9,0,13,0,15,1,17,3,18,5,19,8,19,13,18,16,17,18,15,20,13,21,9,21]],P:[21,[4,21,4,0,-1,-1,4,21,13,21,16,20,17,19,18,17,18,14,17,12,16,11,13,10,4,10]],Q:[22,[9,21,7,20,5,18,4,16,3,13,3,8,4,5,5,3,7,1,9,0,13,0,15,1,17,3,18,5,19,8,19,13,18,16,17,18,15,20,13,21,9,21,-1,-1,12,4,18,-2]],R:[21,[4,21,4,0,-1,-1,4,21,13,21,16,20,17,19,18,17,18,15,17,13,16,12,13,11,4,11,-1,-1,11,11,18,0]],S:[20,[17,18,15,20,12,21,8,21,5,20,3,18,3,16,4,14,5,13,7,12,13,10,15,9,16,8,17,6,17,3,15,1,12,0,8,0,5,1,3,3]],T:[16,[8,21,8,0,-1,-1,1,21,15,21]],U:[22,[4,21,4,6,5,3,7,1,10,0,12,0,15,1,17,3,18,6,18,21]],V:[18,[1,21,9,0,-1,-1,17,21,9,0]],W:[24,[2,21,7,0,-1,-1,12,21,7,0,-1,-1,12,21,17,0,-1,-1,22,21,17,0]],X:[20,[3,21,17,0,-1,-1,17,21,3,0]],Y:[18,[1,21,9,11,9,0,-1,-1,17,21,9,11]],Z:[20,[17,21,3,0,-1,-1,3,21,17,21,-1,-1,3,0,17,0]],\"[\":[14,[4,25,4,-7,-1,-1,5,25,5,-7,-1,-1,4,25,11,25,-1,-1,4,-7,11,-7]],\"\\\\\":[14,[0,21,14,-3]],\"]\":[14,[9,25,9,-7,-1,-1,10,25,10,-7,-1,-1,3,25,10,25,-1,-1,3,-7,10,-7]],\"^\":[16,[6,15,8,18,10,15,-1,-1,3,12,8,17,13,12,-1,-1,8,17,8,0]],_:[16,[0,-2,16,-2]],\"`\":[10,[6,21,5,20,4,18,4,16,5,15,6,16,5,17]],a:[19,[15,14,15,0,-1,-1,15,11,13,13,11,14,8,14,6,13,4,11,3,8,3,6,4,3,6,1,8,0,11,0,13,1,15,3]],b:[19,[4,21,4,0,-1,-1,4,11,6,13,8,14,11,14,13,13,15,11,16,8,16,6,15,3,13,1,11,0,8,0,6,1,4,3]],c:[18,[15,11,13,13,11,14,8,14,6,13,4,11,3,8,3,6,4,3,6,1,8,0,11,0,13,1,15,3]],d:[19,[15,21,15,0,-1,-1,15,11,13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a,o,s,l,u,c,h,f,d=[];for(a=0,o=t.length;a<o;a++)if(u=n[t[a]]){for(f=null,s=0,l=u[1].length;s<l;s+=2)-1===u[1][s]&&-1===u[1][s+1]?f=null:(c=e+u[1][s]*i,h=r-u[1][s+1]*i,f&&d.push(f.x,f.y,c,h),f={x:c,y:h});e+=u[0]*i}return d}},{}],343:[function(t,e,r){\"use strict\";var n=e.exports={};n.version=t(\"../package.json\").version,n.Map=t(\"./ui/map\"),n.Control=t(\"./ui/control/control\"),n.Navigation=t(\"./ui/control/navigation\"),n.Geolocate=t(\"./ui/control/geolocate\"),n.Attribution=t(\"./ui/control/attribution\"),n.Popup=t(\"./ui/popup\"),n.Marker=t(\"./ui/marker\"),n.Style=t(\"./style/style\"),n.LngLat=t(\"./geo/lng_lat\"),n.LngLatBounds=t(\"./geo/lng_lat_bounds\"),n.Point=t(\"point-geometry\"),n.Evented=t(\"./util/evented\"),n.util=t(\"./util/util\"),n.supported=t(\"./util/browser\").supported;var i=t(\"./util/ajax\");n.util.getJSON=i.getJSON,n.util.getArrayBuffer=i.getArrayBuffer;var a=t(\"./util/config\");n.config=a,Object.defineProperty(n,\"accessToken\",{get:function(){return a.ACCESS_TOKEN},set:function(t){a.ACCESS_TOKEN=t}})},{\"../package.json\":444,\"./geo/lng_lat\":339,\"./geo/lng_lat_bounds\":340,\"./style/style\":378,\"./ui/control/attribution\":409,\"./ui/control/control\":410,\"./ui/control/geolocate\":411,\"./ui/control/navigation\":412,\"./ui/map\":421,\"./ui/marker\":422,\"./ui/popup\":423,\"./util/ajax\":425,\"./util/browser\":426,\"./util/config\":431,\"./util/evented\":434,\"./util/util\":442,\"point-geometry\":484}],344:[function(t,e,r){\"use strict\";var n=t(\"assert\");e.exports=function(t){for(var e={define:{},initialize:{}},r=0;r<t.length;r++){var i=t[r];n(\"u_\"===i.name.slice(0,2));var a=\"{precision} \"+(1===i.components?\"float\":\"vec\"+i.components);e.define[i.name.slice(2)]=\"uniform \"+a+\" \"+i.name+\";\\n\",e.initialize[i.name.slice(2)]=a+\" \"+i.name.slice(2)+\" = \"+i.name+\";\\n\"}return e}},{assert:47}],345:[function(t,e,r){\"use strict\";function n(t,e,r){var n,s=t.gl,l=t.transform,u=r.paint[\"background-color\"],c=r.paint[\"background-pattern\"],h=r.paint[\"background-opacity\"],f=c?t.spriteAtlas.getPosition(c.from,!0):null,d=c?t.spriteAtlas.getPosition(c.to,!0):null;if(t.setDepthSublayer(0),f&&d){if(t.isOpaquePass)return;n=t.useProgram(\"pattern\"),s.uniform1i(n.u_image,0),s.uniform2fv(n.u_pattern_tl_a,f.tl),s.uniform2fv(n.u_pattern_br_a,f.br),s.uniform2fv(n.u_pattern_tl_b,d.tl),s.uniform2fv(n.u_pattern_br_b,d.br),s.uniform1f(n.u_opacity,h),s.uniform1f(n.u_mix,c.t),s.uniform2fv(n.u_pattern_size_a,f.size),s.uniform2fv(n.u_pattern_size_b,d.size),s.uniform1f(n.u_scale_a,c.fromScale),s.uniform1f(n.u_scale_b,c.toScale),s.activeTexture(s.TEXTURE0),t.spriteAtlas.bind(s,!0),t.tileExtentPatternVAO.bind(s,n,t.tileExtentBuffer)}else{if(t.isOpaquePass!==(1===u[3]))return;var p=a([{name:\"u_color\",components:4},{name:\"u_opacity\",components:1}]);n=t.useProgram(\"fill\",[],p,p),s.uniform4fv(n.u_color,u),s.uniform1f(n.u_opacity,h),t.tileExtentVAO.bind(s,n,t.tileExtentBuffer)}s.disable(s.STENCIL_TEST);for(var m=l.coveringTiles({tileSize:o}),v=0;v<m.length;v++){var g=m[v];if(f&&d){var y={coord:g,tileSize:o};s.uniform1f(n.u_tile_units_to_pixels,1/i(y,1,t.transform.tileZoom));var b=y.tileSize*Math.pow(2,t.transform.tileZoom-y.coord.z),x=b*(y.coord.x+g.w*Math.pow(2,y.coord.z)),_=b*y.coord.y;s.uniform2f(n.u_pixel_coord_upper,x>>16,_>>16),s.uniform2f(n.u_pixel_coord_lower,65535&x,65535&_)}s.uniformMatrix4fv(n.u_matrix,!1,t.transform.calculatePosMatrix(g)),s.drawArrays(s.TRIANGLE_STRIP,0,t.tileExtentBuffer.length)}s.stencilMask(0),s.stencilFunc(s.EQUAL,128,128)}var i=t(\"../source/pixels_to_tile_units\"),a=t(\"./create_uniform_pragmas\"),o=512;e.exports=n},{\"../source/pixels_to_tile_units\":363,\"./create_uniform_pragmas\":344}],346:[function(t,e,r){\"use strict\";function n(t,e,r,n){if(!t.isOpaquePass){var a=t.gl;t.setDepthSublayer(0),t.depthMask(!1),a.disable(a.STENCIL_TEST);for(var o=0;o<n.length;o++){var s=n[o],l=e.getTile(s),u=l.getBucket(r);if(u){var c=u.bufferGroups.circle;if(c){var h=u.paintAttributes.circle[r.id],f=t.useProgram(\"circle\",h.defines,h.vertexPragmas,h.fragmentPragmas);\"map\"===r.paint[\"circle-pitch-scale\"]?(a.uniform1i(f.u_scale_with_map,!0),a.uniform2f(f.u_extrude_scale,t.transform.pixelsToGLUnits[0]*t.transform.altitude,t.transform.pixelsToGLUnits[1]*t.transform.altitude)):(a.uniform1i(f.u_scale_with_map,!1),a.uniform2fv(f.u_extrude_scale,t.transform.pixelsToGLUnits)),a.uniform1f(f.u_devicepixelratio,i.devicePixelRatio),a.uniformMatrix4fv(f.u_matrix,!1,t.translatePosMatrix(s.posMatrix,l,r.paint[\"circle-translate\"],r.paint[\"circle-translate-anchor\"])),u.setUniforms(a,\"circle\",f,r,{zoom:t.transform.zoom});for(var d=0;d<c.length;d++){var p=c[d];p.vaos[r.id].bind(a,f,p.layoutVertexBuffer,p.elementBuffer,p.paintVertexBuffers[r.id]),a.drawElements(a.TRIANGLES,3*p.elementBuffer.length,a.UNSIGNED_SHORT,0)}}}}}}var i=t(\"../util/browser\");e.exports=n},{\"../util/browser\":426}],347:[function(t,e,r){\"use strict\";function n(t,e,r,n){var i=t.gl;i.enable(i.STENCIL_TEST);for(var a=t.useProgram(\"collisionbox\"),o=0;o<n.length;o++){var s=n[o],l=e.getTile(s),u=l.getBucket(r);if(u){var c=u.bufferGroups.collisionBox;if(c&&c.length){var h=c[0];0!==h.layoutVertexBuffer.length&&(i.uniformMatrix4fv(a.u_matrix,!1,s.posMatrix),t.enableTileClippingMask(s),t.lineWidth(1),i.uniform1f(a.u_scale,Math.pow(2,t.transform.zoom-l.coord.z)),i.uniform1f(a.u_zoom,10*t.transform.zoom),i.uniform1f(a.u_maxzoom,10*(l.coord.z+1)),h.vaos[r.id].bind(i,a,h.layoutVertexBuffer),i.drawArrays(i.LINES,0,h.layoutVertexBuffer.length))}}}}e.exports=n},{}],348:[function(t,e,r){\"use strict\";function n(t,e,r){if(!t.isOpaquePass&&t.options.debug)for(var n=0;n<r.length;n++)i(t,e,r[n])}function i(t,e,r){var n=t.gl;n.disable(n.STENCIL_TEST),t.lineWidth(1*o.devicePixelRatio);var i=r.posMatrix,h=t.useProgram(\"debug\");n.uniformMatrix4fv(h.u_matrix,!1,i),n.uniform4f(h.u_color,1,0,0,1),t.debugVAO.bind(n,h,t.debugBuffer),n.drawArrays(n.LINE_STRIP,0,t.debugBuffer.length);for(var f=a(r.toString(),50,200,5),d=new t.PosArray,p=0;p<f.length;p+=2)d.emplaceBack(f[p],f[p+1]);var m=new u(d.serialize(),t.PosArray.serialize(),u.BufferType.VERTEX);(new c).bind(n,h,m),n.uniform4f(h.u_color,1,1,1,1);for(var v=e.getTile(r).tileSize,g=l/(Math.pow(2,t.transform.zoom-r.z)*v),y=[[-1,-1],[-1,1],[1,-1],[1,1]],b=0;b<y.length;b++){var x=y[b];n.uniformMatrix4fv(h.u_matrix,!1,s.translate([],i,[g*x[0],g*x[1],0])),n.drawArrays(n.LINES,0,m.length)}n.uniform4f(h.u_color,0,0,0,1),n.uniformMatrix4fv(h.u_matrix,!1,i),n.drawArrays(n.LINES,0,m.length)}var a=t(\"../lib/debugtext\"),o=t(\"../util/browser\"),s=t(\"gl-matrix\").mat4,l=t(\"../data/bucket\").EXTENT,u=t(\"../data/buffer\"),c=t(\"./vertex_array_object\");e.exports=n},{\"../data/bucket\":329,\"../data/buffer\":334,\"../lib/debugtext\":342,\"../util/browser\":426,\"./vertex_array_object\":357,\"gl-matrix\":193}],349:[function(t,e,r){\"use strict\";function n(t,e,r,n){var o=t.gl;o.enable(o.STENCIL_TEST);var s;if(s=!r.paint[\"fill-pattern\"]&&(r.isPaintValueFeatureConstant(\"fill-color\")&&r.isPaintValueFeatureConstant(\"fill-opacity\")&&1===r.paint[\"fill-color\"][3]&&1===r.paint[\"fill-opacity\"]),t.isOpaquePass===s){t.setDepthSublayer(1);for(var l=0;l<n.length;l++)i(t,e,r,n[l])}if(!t.isOpaquePass&&r.paint[\"fill-antialias\"]){t.lineWidth(2),t.depthMask(!1);var u=r.getPaintProperty(\"fill-outline-color\");(u||!r.paint[\"fill-pattern\"])&&u?t.setDepthSublayer(2):t.setDepthSublayer(0);for(var c=0;c<n.length;c++)a(t,e,r,n[c])}}function i(t,e,r,n){var i=e.getTile(n),a=i.getBucket(r);if(a){var s=a.bufferGroups.fill;if(s){var l,u=t.gl,c=r.paint[\"fill-pattern\"];if(c)l=t.useProgram(\"pattern\"),o(c,r.paint[\"fill-opacity\"],i,n,t,l),u.activeTexture(u.TEXTURE0),t.spriteAtlas.bind(u,!0);else{var h=a.paintAttributes.fill[r.id];l=t.useProgram(\"fill\",h.defines,h.vertexPragmas,h.fragmentPragmas),a.setUniforms(u,\"fill\",l,r,{zoom:t.transform.zoom})}u.uniformMatrix4fv(l.u_matrix,!1,t.translatePosMatrix(n.posMatrix,i,r.paint[\"fill-translate\"],r.paint[\"fill-translate-anchor\"])),t.enableTileClippingMask(n);for(var f=0;f<s.length;f++){var d=s[f];d.vaos[r.id].bind(u,l,d.layoutVertexBuffer,d.elementBuffer,d.paintVertexBuffers[r.id]),u.drawElements(u.TRIANGLES,d.elementBuffer.length,u.UNSIGNED_SHORT,0)}}}}function a(t,e,r,n){var i=e.getTile(n),a=i.getBucket(r);if(a){var s,l=t.gl,u=a.bufferGroups.fill,c=r.paint[\"fill-pattern\"],h=r.paint[\"fill-opacity\"],f=r.getPaintProperty(\"fill-outline-color\");if(c&&!f)s=t.useProgram(\"outlinepattern\"),l.uniform2f(s.u_world,l.drawingBufferWidth,l.drawingBufferHeight);else{var d=a.paintAttributes.fill[r.id];s=t.useProgram(\"outline\",d.defines,d.vertexPragmas,d.fragmentPragmas),l.uniform2f(s.u_world,l.drawingBufferWidth,l.drawingBufferHeight),l.uniform1f(s.u_opacity,h),a.setUniforms(l,\"fill\",s,r,{zoom:t.transform.zoom})}l.uniformMatrix4fv(s.u_matrix,!1,t.translatePosMatrix(n.posMatrix,i,r.paint[\"fill-translate\"],r.paint[\"fill-translate-anchor\"])),c&&o(c,h,i,n,t,s),t.enableTileClippingMask(n);for(var p=0;p<u.length;p++){var m=u[p];m.secondVaos[r.id].bind(l,s,m.layoutVertexBuffer,m.elementBuffer2,m.paintVertexBuffers[r.id]),l.drawElements(l.LINES,2*m.elementBuffer2.length,l.UNSIGNED_SHORT,0)}}}function o(t,e,r,n,i,a){var o=i.gl,l=i.spriteAtlas.getPosition(t.from,!0),u=i.spriteAtlas.getPosition(t.to,!0);if(l&&u){o.uniform1i(a.u_image,0),o.uniform2fv(a.u_pattern_tl_a,l.tl),o.uniform2fv(a.u_pattern_br_a,l.br),o.uniform2fv(a.u_pattern_tl_b,u.tl),o.uniform2fv(a.u_pattern_br_b,u.br),o.uniform1f(a.u_opacity,e),o.uniform1f(a.u_mix,t.t),o.uniform1f(a.u_tile_units_to_pixels,1/s(r,1,i.transform.tileZoom)),o.uniform2fv(a.u_pattern_size_a,l.size),o.uniform2fv(a.u_pattern_size_b,u.size),o.uniform1f(a.u_scale_a,t.fromScale),o.uniform1f(a.u_scale_b,t.toScale);var c=r.tileSize*Math.pow(2,i.transform.tileZoom-r.coord.z),h=c*(r.coord.x+n.w*Math.pow(2,r.coord.z)),f=c*r.coord.y;o.uniform2f(a.u_pixel_coord_upper,h>>16,f>>16),o.uniform2f(a.u_pixel_coord_lower,65535&h,65535&f),o.activeTexture(o.TEXTURE0),i.spriteAtlas.bind(o,!0)}}var s=t(\"../source/pixels_to_tile_units\");e.exports=n},{\"../source/pixels_to_tile_units\":363}],350:[function(t,e,r){\"use strict\";var n=t(\"../util/browser\"),i=t(\"gl-matrix\").mat2,a=t(\"../source/pixels_to_tile_units\");e.exports=function(t,e,r,o){if(!t.isOpaquePass){t.setDepthSublayer(0),t.depthMask(!1);var s=t.gl;if(s.enable(s.STENCIL_TEST),!(r.paint[\"line-width\"]<=0)){var l=1/n.devicePixelRatio,u=r.paint[\"line-blur\"]+l,c=r.paint[\"line-color\"],h=t.transform,f=i.create();i.scale(f,f,[1,Math.cos(h._pitch)]),i.rotate(f,f,t.transform.angle);var d,p,m,v,g,y=Math.sqrt(h.height*h.height/4*(1+h.altitude*h.altitude)),b=h.height/2*Math.tan(h._pitch),x=(y+b)/y-1,_=r.paint[\"line-dasharray\"],w=r.paint[\"line-pattern\"];if(_)d=t.useProgram(\"linesdfpattern\"),s.uniform1f(d.u_linewidth,r.paint[\"line-width\"]/2),s.uniform1f(d.u_gapwidth,r.paint[\"line-gap-width\"]/2),s.uniform1f(d.u_antialiasing,l/2),s.uniform1f(d.u_blur,u),s.uniform4fv(d.u_color,c),s.uniform1f(d.u_opacity,r.paint[\"line-opacity\"]),p=t.lineAtlas.getDash(_.from,\"round\"===r.layout[\"line-cap\"]),m=t.lineAtlas.getDash(_.to,\"round\"===r.layout[\"line-cap\"]),s.uniform1i(d.u_image,0),s.activeTexture(s.TEXTURE0),t.lineAtlas.bind(s),s.uniform1f(d.u_tex_y_a,p.y),s.uniform1f(d.u_tex_y_b,m.y),s.uniform1f(d.u_mix,_.t),s.uniform1f(d.u_extra,x),s.uniform1f(d.u_offset,-r.paint[\"line-offset\"]),s.uniformMatrix2fv(d.u_antialiasingmatrix,!1,f);else if(w){if(v=t.spriteAtlas.getPosition(w.from,!0),g=t.spriteAtlas.getPosition(w.to,!0),!v||!g)return;d=t.useProgram(\"linepattern\"),s.uniform1i(d.u_image,0),s.activeTexture(s.TEXTURE0),t.spriteAtlas.bind(s,!0),s.uniform1f(d.u_linewidth,r.paint[\"line-width\"]/2),s.uniform1f(d.u_gapwidth,r.paint[\"line-gap-width\"]/2),s.uniform1f(d.u_antialiasing,l/2),s.uniform1f(d.u_blur,u),s.uniform2fv(d.u_pattern_tl_a,v.tl),s.uniform2fv(d.u_pattern_br_a,v.br),s.uniform2fv(d.u_pattern_tl_b,g.tl),s.uniform2fv(d.u_pattern_br_b,g.br),s.uniform1f(d.u_fade,w.t),s.uniform1f(d.u_opacity,r.paint[\"line-opacity\"]),s.uniform1f(d.u_extra,x),s.uniform1f(d.u_offset,-r.paint[\"line-offset\"]),s.uniformMatrix2fv(d.u_antialiasingmatrix,!1,f)}else d=t.useProgram(\"line\"),s.uniform1f(d.u_linewidth,r.paint[\"line-width\"]/2),s.uniform1f(d.u_gapwidth,r.paint[\"line-gap-width\"]/2),s.uniform1f(d.u_antialiasing,l/2),s.uniform1f(d.u_blur,u),s.uniform1f(d.u_extra,x),s.uniform1f(d.u_offset,-r.paint[\"line-offset\"]),s.uniformMatrix2fv(d.u_antialiasingmatrix,!1,f),s.uniform4fv(d.u_color,c),s.uniform1f(d.u_opacity,r.paint[\"line-opacity\"]);for(var M=0;M<o.length;M++){var k=o[M],A=e.getTile(k),T=A.getBucket(r);if(T){var S=T.bufferGroups.line;if(S){t.enableTileClippingMask(k);var E=t.translatePosMatrix(k.posMatrix,A,r.paint[\"line-translate\"],r.paint[\"line-translate-anchor\"]);s.uniformMatrix4fv(d.u_matrix,!1,E);var L=1/a(A,1,t.transform.zoom);if(_){var C=p.width*_.fromScale,I=m.width*_.toScale,z=[1/a(A,C,t.transform.tileZoom),-p.height/2],D=[1/a(A,I,t.transform.tileZoom),-m.height/2],P=t.lineAtlas.width/(256*Math.min(C,I)*n.devicePixelRatio)/2;s.uniform1f(d.u_ratio,L),s.uniform2fv(d.u_patternscale_a,z),s.uniform2fv(d.u_patternscale_b,D),s.uniform1f(d.u_sdfgamma,P)}else w?(s.uniform1f(d.u_ratio,L),s.uniform2fv(d.u_pattern_size_a,[a(A,v.size[0]*w.fromScale,t.transform.tileZoom),g.size[1]]),s.uniform2fv(d.u_pattern_size_b,[a(A,g.size[0]*w.toScale,t.transform.tileZoom),g.size[1]])):s.uniform1f(d.u_ratio,L);for(var O=0;O<S.length;O++){var R=S[O];R.vaos[r.id].bind(s,d,R.layoutVertexBuffer,R.elementBuffer),s.drawElements(s.TRIANGLES,3*R.elementBuffer.length,s.UNSIGNED_SHORT,0)}}}}}}}},{\"../source/pixels_to_tile_units\":363,\"../util/browser\":426,\"gl-matrix\":193}],351:[function(t,e,r){\"use strict\";function n(t,e,r,n){if(!t.isOpaquePass){var a=t.gl;a.enable(a.DEPTH_TEST),t.depthMask(!0),a.depthFunc(a.LESS);for(var o=n.length&&n[0].z,s=0;s<n.length;s++){var l=n[s];t.setDepthSublayer(l.z-o),i(t,e,r,l)}a.depthFunc(a.LEQUAL)}}function i(t,e,r,n){var i=t.gl;i.disable(i.STENCIL_TEST);var u=e.getTile(n),c=t.transform.calculatePosMatrix(n,e.maxzoom),h=t.useProgram(\"raster\");i.uniformMatrix4fv(h.u_matrix,!1,c),i.uniform1f(h.u_brightness_low,r.paint[\"raster-brightness-min\"]),i.uniform1f(h.u_brightness_high,r.paint[\"raster-brightness-max\"]),i.uniform1f(h.u_saturation_factor,s(r.paint[\"raster-saturation\"])),i.uniform1f(h.u_contrast_factor,o(r.paint[\"raster-contrast\"])),i.uniform3fv(h.u_spin_weights,a(r.paint[\"raster-hue-rotate\"]));var f,d,p=u.source&&u.source.findLoadedParent(n,0,{}),m=l(u,p,r,t.transform);i.activeTexture(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,u.texture),i.activeTexture(i.TEXTURE1),p?(i.bindTexture(i.TEXTURE_2D,p.texture),f=Math.pow(2,p.coord.z-u.coord.z),d=[u.coord.x*f%1,u.coord.y*f%1]):(i.bindTexture(i.TEXTURE_2D,u.texture),m[1]=0),i.uniform2fv(h.u_tl_parent,d||[0,0]),i.uniform1f(h.u_scale_parent,f||1),i.uniform1f(h.u_buffer_scale,1),i.uniform1f(h.u_opacity0,m[0]),i.uniform1f(h.u_opacity1,m[1]),i.uniform1i(h.u_image0,0),i.uniform1i(h.u_image1,1);var v=u.boundsBuffer||t.rasterBoundsBuffer;(u.boundsVAO||t.rasterBoundsVAO).bind(i,h,v),i.drawArrays(i.TRIANGLE_STRIP,0,v.length)}function a(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}function o(t){return t>0?1/(1-t):1+t}function s(t){return t>0?1-1/(1.001-t):-t}function l(t,e,r,n){var i=[1,0],a=r.paint[\"raster-fade-duration\"];if(t.source&&a>0){var o=(new Date).getTime(),s=(o-t.timeAdded)/a,l=e?(o-e.timeAdded)/a:-1,c=n.coveringZoomLevel(t.source),h=!!e&&Math.abs(e.coord.z-c)>Math.abs(t.coord.z-c);!e||h?(i[0]=u.clamp(s,0,1),i[1]=1-i[0]):(i[0]=u.clamp(1-l,0,1),i[1]=1-i[0])}var f=r.paint[\"raster-opacity\"];return i[0]*=f,i[1]*=f,i}var u=t(\"../util/util\"),c=t(\"../util/struct_array\");e.exports=n,n.RasterBoundsArray=new c({members:[{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]})},{\"../util/struct_array\":440,\"../util/util\":442}],352:[function(t,e,r){\"use strict\";function n(t,e,r,n){if(!t.isOpaquePass){var a=!(r.layout[\"text-allow-overlap\"]||r.layout[\"icon-allow-overlap\"]||r.layout[\"text-ignore-placement\"]||r.layout[\"icon-ignore-placement\"]),o=t.gl;a?o.disable(o.STENCIL_TEST):o.enable(o.STENCIL_TEST),t.setDepthSublayer(0),t.depthMask(!1),o.disable(o.DEPTH_TEST),i(t,e,r,n,!1,r.paint[\"icon-translate\"],r.paint[\"icon-translate-anchor\"],r.layout[\"icon-rotation-alignment\"],r.layout[\"icon-rotation-alignment\"],r.layout[\"icon-size\"],r.paint[\"icon-halo-width\"],r.paint[\"icon-halo-color\"],r.paint[\"icon-halo-blur\"],r.paint[\"icon-opacity\"],r.paint[\"icon-color\"]),\n",
       "i(t,e,r,n,!0,r.paint[\"text-translate\"],r.paint[\"text-translate-anchor\"],r.layout[\"text-rotation-alignment\"],r.layout[\"text-pitch-alignment\"],r.layout[\"text-size\"],r.paint[\"text-halo-width\"],r.paint[\"text-halo-color\"],r.paint[\"text-halo-blur\"],r.paint[\"text-opacity\"],r.paint[\"text-color\"]),o.enable(o.DEPTH_TEST),e.map.showCollisionBoxes&&s(t,e,r,n)}}function i(t,e,r,n,i,o,s,l,u,c,h,f,d,p,m){for(var v=0;v<n.length;v++){var g=e.getTile(n[v]),y=g.getBucket(r);if(y){var b=y.bufferGroups,x=i?b.glyph:b.icon;x.length&&(t.enableTileClippingMask(n[v]),a(t,r,n[v].posMatrix,g,y,x,i,i||y.sdfIcons,!i&&y.iconsNeedLinear,i?y.adjustedTextSize:y.adjustedIconSize,y.fontstack,o,s,l,u,c,h,f,d,p,m))}}}function a(t,e,r,n,i,a,s,u,c,h,f,d,p,m,v,g,y,b,x,_,w){var M,k,A,T=t.gl,S=t.transform,E=\"map\"===m,L=\"map\"===v,C=s?24:1,I=g/C;if(L?(k=l(n,1,t.transform.zoom)*I,A=1/Math.cos(S._pitch),M=[k,k]):(k=t.transform.altitude*I,A=1,M=[S.pixelsToGLUnits[0]*k,S.pixelsToGLUnits[1]*k]),s||t.style.sprite.loaded()){var z=t.useProgram(u?\"sdf\":\"icon\");if(T.uniformMatrix4fv(z.u_matrix,!1,t.translatePosMatrix(r,n,d,p)),T.uniform1i(z.u_rotate_with_map,E),T.uniform1i(z.u_pitch_with_map,L),T.uniform2fv(z.u_extrude_scale,M),T.activeTexture(T.TEXTURE0),T.uniform1i(z.u_texture,0),s){var D=f&&t.glyphSource.getGlyphAtlas(f);if(!D)return;D.updateTexture(T),T.uniform2f(z.u_texsize,D.width/4,D.height/4)}else{var P=t.options.rotating||t.options.zooming,O=1!==I||o.devicePixelRatio!==t.spriteAtlas.pixelRatio||c,R=L||t.transform.pitch;t.spriteAtlas.bind(T,u||P||O||R),T.uniform2f(z.u_texsize,t.spriteAtlas.width/4,t.spriteAtlas.height/4)}var F=Math.log(g/h)/Math.LN2||0;T.uniform1f(z.u_zoom,10*(t.transform.zoom-F)),T.activeTexture(T.TEXTURE1),t.frameHistory.bind(T),T.uniform1i(z.u_fadetexture,1);var j;if(u){var N=.105*C/g/o.devicePixelRatio;if(y){T.uniform1f(z.u_gamma,(1.19*x/I/8+N)*A),T.uniform4fv(z.u_color,b),T.uniform1f(z.u_opacity,_),T.uniform1f(z.u_buffer,(6-y/I)/8);for(var B=0;B<a.length;B++)j=a[B],j.vaos[e.id].bind(T,z,j.layoutVertexBuffer,j.elementBuffer),T.drawElements(T.TRIANGLES,3*j.elementBuffer.length,T.UNSIGNED_SHORT,0)}T.uniform1f(z.u_gamma,N*A),T.uniform4fv(z.u_color,w),T.uniform1f(z.u_opacity,_),T.uniform1f(z.u_buffer,.75),T.uniform1f(z.u_pitch,S.pitch/360*2*Math.PI),T.uniform1f(z.u_bearing,S.bearing/360*2*Math.PI),T.uniform1f(z.u_aspect_ratio,S.width/S.height);for(var U=0;U<a.length;U++)j=a[U],j.vaos[e.id].bind(T,z,j.layoutVertexBuffer,j.elementBuffer),T.drawElements(T.TRIANGLES,3*j.elementBuffer.length,T.UNSIGNED_SHORT,0)}else{T.uniform1f(z.u_opacity,_);for(var V=0;V<a.length;V++)j=a[V],j.vaos[e.id].bind(T,z,j.layoutVertexBuffer,j.elementBuffer),T.drawElements(T.TRIANGLES,3*j.elementBuffer.length,T.UNSIGNED_SHORT,0)}}}var o=t(\"../util/browser\"),s=t(\"./draw_collision_debug\"),l=t(\"../source/pixels_to_tile_units\");e.exports=n},{\"../source/pixels_to_tile_units\":363,\"../util/browser\":426,\"./draw_collision_debug\":347}],353:[function(t,e,r){\"use strict\";function n(){this.changeTimes=new Float64Array(256),this.changeOpacities=new Uint8Array(256),this.opacities=new Uint8ClampedArray(256),this.array=new Uint8Array(this.opacities.buffer),this.fadeDuration=300,this.previousZoom=0,this.firstFrame=!0}e.exports=n,n.prototype.record=function(t){var e=Date.now();this.firstFrame&&(e=0,this.firstFrame=!1),t=Math.floor(10*t);var r;if(t<this.previousZoom)for(r=t+1;r<=this.previousZoom;r++)this.changeTimes[r]=e,this.changeOpacities[r]=this.opacities[r];else for(r=t;r>this.previousZoom;r--)this.changeTimes[r]=e,this.changeOpacities[r]=this.opacities[r];for(r=0;r<256;r++){var n=e-this.changeTimes[r],i=n/this.fadeDuration*255;this.opacities[r]=r<=t?this.changeOpacities[r]+i:this.changeOpacities[r]-i}this.changed=!0,this.previousZoom=t},n.prototype.bind=function(t){this.texture?(t.bindTexture(t.TEXTURE_2D,this.texture),this.changed&&(t.texSubImage2D(t.TEXTURE_2D,0,0,0,256,1,t.ALPHA,t.UNSIGNED_BYTE,this.array),this.changed=!1)):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),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),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texImage2D(t.TEXTURE_2D,0,t.ALPHA,256,1,0,t.ALPHA,t.UNSIGNED_BYTE,this.array))}},{}],354:[function(t,e,r){\"use strict\";function n(t,e){this.width=t,this.height=e,this.nextRow=0,this.bytes=4,this.data=new Uint8Array(this.width*this.height*this.bytes),this.positions={}}var i=t(\"../util/util\");e.exports=n,n.prototype.setSprite=function(t){this.sprite=t},n.prototype.getDash=function(t,e){var r=t.join(\",\")+e;return this.positions[r]||(this.positions[r]=this.addDash(t,e)),this.positions[r]},n.prototype.addDash=function(t,e){var r=e?7:0,n=2*r+1;if(this.nextRow+n>this.height)return i.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<t.length;o++)a+=t[o];for(var s=this.width/a,l=s/2,u=t.length%2==1,c=-r;c<=r;c++)for(var h=this.nextRow+r+c,f=this.width*h,d=u?-t[t.length-1]:0,p=t[0],m=1,v=0;v<this.width;v++){for(;p<v/s;)d=p,p+=t[m],u&&m===t.length-1&&(p+=t[0]),m++;var g,y=Math.abs(v-d*s),b=Math.abs(v-p*s),x=Math.min(y,b),_=m%2==1;if(e){var w=r?c/r*(l+1):0;if(_){var M=l-Math.abs(w);g=Math.sqrt(x*x+M*M)}else g=l-Math.sqrt(x*x+w*w)}else g=(_?1:-1)*x;this.data[3+4*(f+v)]=Math.max(0,Math.min(255,g+128))}var k={y:(this.nextRow+r+.5)/this.height,height:2*r/this.height,width:a};return this.nextRow+=n,this.dirty=!0,k},n.prototype.bind=function(t){this.texture?(t.bindTexture(t.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,t.texSubImage2D(t.TEXTURE_2D,0,0,0,this.width,this.height,t.RGBA,t.UNSIGNED_BYTE,this.data))):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.REPEAT),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.REPEAT),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.LINEAR),t.texImage2D(t.TEXTURE_2D,0,t.RGBA,this.width,this.height,0,t.RGBA,t.UNSIGNED_BYTE,this.data))}},{\"../util/util\":442}],355:[function(t,e,r){\"use strict\";function n(t,e){this.gl=t,this.transform=e,this.reusableTextures={},this.preFbos={},this.frameHistory=new o,this.setup(),this.numSublayers=s.maxUnderzooming+s.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.lineWidthRange=t.getParameter(t.ALIASED_LINE_WIDTH_RANGE)}var i=t(\"../util/browser\"),a=t(\"gl-matrix\").mat4,o=t(\"./frame_history\"),s=t(\"../source/source_cache\"),l=t(\"../data/bucket\").EXTENT,u=t(\"../source/pixels_to_tile_units\"),c=t(\"../util/util\"),h=t(\"../util/struct_array\"),f=t(\"../data/buffer\"),d=t(\"./vertex_array_object\"),p=t(\"./draw_raster\").RasterBoundsArray,m=t(\"./create_uniform_pragmas\");e.exports=n,c.extend(n.prototype,t(\"./painter/use_program\")),n.prototype.resize=function(t,e){var r=this.gl;this.width=t*i.devicePixelRatio,this.height=e*i.devicePixelRatio,r.viewport(0,0,this.width,this.height)},n.prototype.setup=function(){var t=this.gl;t.verbose=!0,t.enable(t.BLEND),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),t.enable(t.STENCIL_TEST),t.enable(t.DEPTH_TEST),t.depthFunc(t.LEQUAL),this._depthMask=!1,t.depthMask(!1);var e=this.PosArray=new h({members:[{name:\"a_pos\",type:\"Int16\",components:2}]}),r=new e;r.emplaceBack(0,0),r.emplaceBack(l,0),r.emplaceBack(0,l),r.emplaceBack(l,l),this.tileExtentBuffer=new f(r.serialize(),e.serialize(),f.BufferType.VERTEX),this.tileExtentVAO=new d,this.tileExtentPatternVAO=new d;var n=new e;n.emplaceBack(0,0),n.emplaceBack(l,0),n.emplaceBack(l,l),n.emplaceBack(0,l),n.emplaceBack(0,0),this.debugBuffer=new f(n.serialize(),e.serialize(),f.BufferType.VERTEX),this.debugVAO=new d;var i=new p;i.emplaceBack(0,0,0,0),i.emplaceBack(l,0,32767,0),i.emplaceBack(0,l,0,32767),i.emplaceBack(l,l,32767,32767),this.rasterBoundsBuffer=new f(i.serialize(),p.serialize(),f.BufferType.VERTEX),this.rasterBoundsVAO=new d},n.prototype.clearColor=function(){var t=this.gl;t.clearColor(0,0,0,0),t.clear(t.COLOR_BUFFER_BIT)},n.prototype.clearStencil=function(){var t=this.gl;t.clearStencil(0),t.stencilMask(255),t.clear(t.STENCIL_BUFFER_BIT)},n.prototype.clearDepth=function(){var t=this.gl;t.clearDepth(1),this.depthMask(!0),t.clear(t.DEPTH_BUFFER_BIT)},n.prototype._renderTileClippingMasks=function(t){var e=this.gl;e.colorMask(!1,!1,!1,!1),this.depthMask(!1),e.disable(e.DEPTH_TEST),e.enable(e.STENCIL_TEST),e.stencilMask(248),e.stencilOp(e.KEEP,e.KEEP,e.REPLACE);var r=1;this._tileClippingMaskIDs={};for(var n=0;n<t.length;n++){var i=t[n],a=this._tileClippingMaskIDs[i.id]=r++<<3;e.stencilFunc(e.ALWAYS,a,248);var o=m([{name:\"u_color\",components:4},{name:\"u_opacity\",components:1}]),s=this.useProgram(\"fill\",[],o,o);e.uniformMatrix4fv(s.u_matrix,!1,i.posMatrix),this.tileExtentVAO.bind(e,s,this.tileExtentBuffer),e.drawArrays(e.TRIANGLE_STRIP,0,this.tileExtentBuffer.length)}e.stencilMask(0),e.colorMask(!0,!0,!0,!0),this.depthMask(!0),e.enable(e.DEPTH_TEST)},n.prototype.enableTileClippingMask=function(t){var e=this.gl;e.stencilFunc(e.EQUAL,this._tileClippingMaskIDs[t.id],248)},n.prototype.prepareBuffers=function(){},n.prototype.bindDefaultFramebuffer=function(){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,null)};var v={symbol:t(\"./draw_symbol\"),circle:t(\"./draw_circle\"),line:t(\"./draw_line\"),fill:t(\"./draw_fill\"),raster:t(\"./draw_raster\"),background:t(\"./draw_background\"),debug:t(\"./draw_debug\")};n.prototype.render=function(t,e){this.style=t,this.options=e,this.lineAtlas=t.lineAtlas,this.spriteAtlas=t.spriteAtlas,this.spriteAtlas.setSprite(t.sprite),this.glyphSource=t.glyphSource,this.frameHistory.record(this.transform.zoom),this.prepareBuffers(),this.clearColor(),this.clearDepth(),this.showOverdrawInspector(e.showOverdrawInspector),this.depthRange=(t._order.length+2)*this.numSublayers*this.depthEpsilon,this.renderPass({isOpaquePass:!0}),this.renderPass({isOpaquePass:!1})},n.prototype.renderPass=function(t){var e=this.style._groups,r=t.isOpaquePass;this.currentLayer=r?this.style._order.length:-1;for(var n=0;n<e.length;n++){var i,a=e[r?e.length-1-n:n],o=this.style.sources[a.source],s=[];if(o){for(s=o.getVisibleCoordinates(),i=0;i<s.length;i++)s[i].posMatrix=this.transform.calculatePosMatrix(s[i],o.maxzoom);this.clearStencil(),o.prepare&&o.prepare(),o.isTileClipped&&this._renderTileClippingMasks(s)}for(r?(this._showOverdrawInspector||this.gl.disable(this.gl.BLEND),this.isOpaquePass=!0):(this.gl.enable(this.gl.BLEND),this.isOpaquePass=!1,s.reverse()),i=0;i<a.length;i++){var l=a[r?a.length-1-i:i];this.currentLayer+=r?-1:1,this.renderLayer(this,o,l,s)}o&&v.debug(this,o,s)}},n.prototype.depthMask=function(t){t!==this._depthMask&&(this._depthMask=t,this.gl.depthMask(t))},n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||n.length)&&(this.id=r.id,v[r.type](t,e,r,n))},n.prototype.setDepthSublayer=function(t){var e=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon,r=e-1+this.depthRange;this.gl.depthRange(r,e)},n.prototype.translatePosMatrix=function(t,e,r,n){if(!r[0]&&!r[1])return t;if(\"viewport\"===n){var i=Math.sin(-this.transform.angle),o=Math.cos(-this.transform.angle);r=[r[0]*o-r[1]*i,r[0]*i+r[1]*o]}var s=[u(e,r[0],this.transform.zoom),u(e,r[1],this.transform.zoom),0],l=new Float32Array(16);return a.translate(l,t,s),l},n.prototype.saveTexture=function(t){var e=this.reusableTextures[t.size];e?e.push(t):this.reusableTextures[t.size]=[t]},n.prototype.getTexture=function(t){var e=this.reusableTextures[t];return e&&e.length>0?e.pop():null},n.prototype.lineWidth=function(t){this.gl.lineWidth(c.clamp(t,this.lineWidthRange[0],this.lineWidthRange[1]))},n.prototype.showOverdrawInspector=function(t){if(t||this._showOverdrawInspector){this._showOverdrawInspector=t;var e=this.gl;if(t){e.blendFunc(e.CONSTANT_COLOR,e.ONE);e.blendColor(1/8,1/8,1/8,0),e.clearColor(0,0,0,1),e.clear(e.COLOR_BUFFER_BIT)}else e.blendFunc(e.ONE,e.ONE_MINUS_SRC_ALPHA)}}},{\"../data/bucket\":329,\"../data/buffer\":334,\"../source/pixels_to_tile_units\":363,\"../source/source_cache\":367,\"../util/browser\":426,\"../util/struct_array\":440,\"../util/util\":442,\"./create_uniform_pragmas\":344,\"./draw_background\":345,\"./draw_circle\":346,\"./draw_debug\":348,\"./draw_fill\":349,\"./draw_line\":350,\"./draw_raster\":351,\"./draw_symbol\":352,\"./frame_history\":353,\"./painter/use_program\":356,\"./vertex_array_object\":357,\"gl-matrix\":193}],356:[function(t,e,r){\"use strict\";function n(t,e){return t.replace(/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,function(t,r,n,i,a){return e[r][a].replace(/{type}/g,i).replace(/{precision}/g,n)})}var i=t(\"assert\"),a=t(\"../../util/util\"),o=t(\"mapbox-gl-shaders\"),s=o.util;e.exports._createProgram=function(t,e,r,l){for(var u=this.gl,c=u.createProgram(),h=o[t],f=\"#define MAPBOX_GL_JS;\\n\",d=0;d<e.length;d++)f+=\"#define \"+e[d]+\";\\n\";var p=u.createShader(u.FRAGMENT_SHADER);u.shaderSource(p,n(f+h.fragmentSource,l)),u.compileShader(p),i(u.getShaderParameter(p,u.COMPILE_STATUS),u.getShaderInfoLog(p)),u.attachShader(c,p);var m=u.createShader(u.VERTEX_SHADER);u.shaderSource(m,n(f+s+h.vertexSource,r)),u.compileShader(m),i(u.getShaderParameter(m,u.COMPILE_STATUS),u.getShaderInfoLog(m)),u.attachShader(c,m),u.linkProgram(c),i(u.getProgramParameter(c,u.LINK_STATUS),u.getProgramInfoLog(c));for(var v={},g=u.getProgramParameter(c,u.ACTIVE_ATTRIBUTES),y=0;y<g;y++){var b=u.getActiveAttrib(c,y);v[b.name]=u.getAttribLocation(c,b.name)}for(var x={},_=u.getProgramParameter(c,u.ACTIVE_UNIFORMS),w=0;w<_;w++){var M=u.getActiveUniform(c,w);x[M.name]=u.getUniformLocation(c,M.name)}return a.extend({program:c,definition:h,attributes:v,numAttributes:g},v,x)},e.exports._createProgramCached=function(t,e,r,n){this.cache=this.cache||{};var i=JSON.stringify({name:t,defines:e,vertexPragmas:r,fragmentPragmas:n});return this.cache[i]||(this.cache[i]=this._createProgram(t,e,r,n)),this.cache[i]},e.exports.useProgram=function(t,e,r,n){var i=this.gl;e=e||[],this._showOverdrawInspector&&(e=e.concat(\"OVERDRAW_INSPECTOR\"));var a=this._createProgramCached(t,e,r,n);return this.currentProgram!==a&&(i.useProgram(a.program),this.currentProgram=a),a}},{\"../../util/util\":442,assert:47,\"mapbox-gl-shaders\":303}],357:[function(t,e,r){\"use strict\";function n(){this.boundProgram=null,this.boundVertexBuffer=null,this.boundVertexBuffer2=null,this.boundElementBuffer=null,this.vao=null}var i=t(\"assert\");e.exports=n,n.prototype.bind=function(t,e,r,n,i){void 0===t.extVertexArrayObject&&(t.extVertexArrayObject=t.getExtension(\"OES_vertex_array_object\"));var a=!this.vao||this.boundProgram!==e||this.boundVertexBuffer!==r||this.boundVertexBuffer2!==i||this.boundElementBuffer!==n;!t.extVertexArrayObject||a?this.freshBind(t,e,r,n,i):t.extVertexArrayObject.bindVertexArrayOES(this.vao)},n.prototype.freshBind=function(t,e,r,n,a){var o,s=e.numAttributes;if(t.extVertexArrayObject)this.vao&&this.destroy(t),this.vao=t.extVertexArrayObject.createVertexArrayOES(),t.extVertexArrayObject.bindVertexArrayOES(this.vao),o=0,this.boundProgram=e,this.boundVertexBuffer=r,this.boundVertexBuffer2=a,this.boundElementBuffer=n;else{o=t.currentNumAttributes||0;for(var l=s;l<o;l++)i(0!==l),t.disableVertexAttribArray(l)}for(var u=o;u<s;u++)t.enableVertexAttribArray(u);r.bind(t),r.setVertexAttribPointers(t,e),a&&(a.bind(t),a.setVertexAttribPointers(t,e)),n&&n.bind(t),t.currentNumAttributes=s},n.prototype.unbind=function(t){var e=t.extVertexArrayObject;e&&e.bindVertexArrayOES(null)},n.prototype.destroy=function(t){var e=t.extVertexArrayObject;e&&this.vao&&(e.deleteVertexArrayOES(this.vao),this.vao=null)}},{assert:47}],358:[function(t,e,r){\"use strict\";function n(t,e,r){e=e||{},this.id=t,this.dispatcher=r,this._data=e.data,void 0!==e.maxzoom&&(this.maxzoom=e.maxzoom),e.type&&(this.type=e.type);var n=s/this.tileSize;this.workerOptions=a.extend({source:this.id,cluster:e.cluster||!1,geojsonVtOptions:{buffer:(void 0!==e.buffer?e.buffer:128)*n,tolerance:(void 0!==e.tolerance?e.tolerance:.375)*n,extent:s,maxZoom:this.maxzoom},superclusterOptions:{maxZoom:Math.min(e.clusterMaxZoom,this.maxzoom-1)||this.maxzoom-1,extent:s,radius:(e.clusterRadius||50)*n,log:!1}},e.workerOptions),this._updateWorkerData(function(t){if(t)return void this.fire(\"error\",{error:t});this.fire(\"load\")}.bind(this))}var i=t(\"../util/evented\"),a=t(\"../util/util\"),o=t(\"resolve-url\"),s=t(\"../data/bucket\").EXTENT;e.exports=n,n.prototype=a.inherit(i,{type:\"geojson\",minzoom:0,maxzoom:18,tileSize:512,isTileClipped:!0,reparseOverscaled:!0,onAdd:function(t){this.map=t},setData:function(t){return this._data=t,this._updateWorkerData(function(t){if(t)return this.fire(\"error\",{error:t});this.fire(\"change\")}.bind(this)),this},_updateWorkerData:function(t){var e=a.extend({},this.workerOptions),r=this._data;\"string\"==typeof r?e.url=\"undefined\"!=typeof window?o(window.location.href,r):r:e.data=JSON.stringify(r),this.workerID=this.dispatcher.send(this.type+\".loadData\",e,function(e){this._loaded=!0,t(e)}.bind(this))},loadTile:function(t,e){var r=t.coord.z>this.maxzoom?Math.pow(2,t.coord.z-this.maxzoom):1,n={type:this.type,uid:t.uid,coord:t.coord,zoom:t.coord.z,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,overscaling:r,angle:this.map.transform.angle,pitch:this.map.transform.pitch,showCollisionBoxes:this.map.showCollisionBoxes};t.workerID=this.dispatcher.send(\"load tile\",n,function(r,n){if(t.unloadVectorData(this.map.painter),!t.aborted)return r?e(r):(t.loadVectorData(n,this.map.style),t.redoWhenDone&&(t.redoWhenDone=!1,t.redoPlacement(this)),e(null))}.bind(this),this.workerID)},abortTile:function(t){t.aborted=!0},unloadTile:function(t){t.unloadVectorData(this.map.painter),this.dispatcher.send(\"remove tile\",{uid:t.uid,source:this.id},function(){},t.workerID)},serialize:function(){return{type:this.type,data:this._data}}})},{\"../data/bucket\":329,\"../util/evented\":434,\"../util/util\":442,\"resolve-url\":501}],359:[function(t,e,r){\"use strict\";function n(t,e,r){r&&(this.loadGeoJSON=r),h.call(this,t,e)}var i=t(\"../util/util\"),a=t(\"../util/ajax\"),o=t(\"geojson-rewind\"),s=t(\"./geojson_wrapper\"),l=t(\"vt-pbf\"),u=t(\"supercluster\"),c=t(\"geojson-vt\"),h=t(\"./vector_tile_worker_source\");e.exports=n,n.prototype=i.inherit(h,{_geoJSONIndexes:{},loadVectorData:function(t,e){var r=t.source,n=t.coord;if(!this._geoJSONIndexes[r])return e(null,null);var i=this._geoJSONIndexes[r].getTile(Math.min(n.z,t.maxZoom),n.x,n.y);if(!i)return e(null,null);var a=new s(i.features);a.name=\"_geojsonTileLayer\";var o=l({layers:{_geojsonTileLayer:a}});0===o.byteOffset&&o.byteLength===o.buffer.byteLength||(o=new Uint8Array(o)),e(null,{tile:a,rawTileData:o.buffer})},loadData:function(t,e){var r=function(r,n){return r?e(r):\"object\"!=typeof n?e(new Error(\"Input data is not a valid GeoJSON object.\")):(o(n,!0),void this._indexData(n,t,function(r,n){if(r)return e(r);this._geoJSONIndexes[t.source]=n,e(null)}.bind(this)))}.bind(this);this.loadGeoJSON(t,r)},loadGeoJSON:function(t,e){if(t.url)a.getJSON(t.url,e);else{if(\"string\"!=typeof t.data)return e(new Error(\"Input data is not a valid GeoJSON object.\"));try{return e(null,JSON.parse(t.data))}catch(t){return e(new Error(\"Input data is not a valid GeoJSON object.\"))}}},_indexData:function(t,e,r){try{e.cluster?r(null,u(e.superclusterOptions).load(t.features)):r(null,c(t,e.geojsonVtOptions))}catch(t){return r(t)}}})},{\"../util/ajax\":425,\"../util/util\":442,\"./geojson_wrapper\":360,\"./vector_tile_worker_source\":371,\"geojson-rewind\":138,\"geojson-vt\":142,supercluster:529,\"vt-pbf\":556}],360:[function(t,e,r){\"use strict\";function n(t){this.features=t,this.length=t.length,this.extent=s}function i(t){if(this.type=t.type,1===t.type){this.rawGeometry=[];for(var e=0;e<t.geometry.length;e++)this.rawGeometry.push([t.geometry[e]])}else this.rawGeometry=t.geometry;this.properties=t.tags,this.extent=s}var a=t(\"point-geometry\"),o=t(\"vector-tile\").VectorTileFeature,s=t(\"../data/bucket\").EXTENT;e.exports=n,n.prototype.feature=function(t){return new i(this.features[t])},i.prototype.loadGeometry=function(){var t=this.rawGeometry;this.geometry=[];for(var e=0;e<t.length;e++){for(var r=t[e],n=[],i=0;i<r.length;i++)n.push(new a(r[i][0],r[i][1]));this.geometry.push(n)}return this.geometry},i.prototype.bbox=function(){this.geometry||this.loadGeometry();for(var t=this.geometry,e=1/0,r=-1/0,n=1/0,i=-1/0,a=0;a<t.length;a++)for(var o=t[a],s=0;s<o.length;s++){var l=o[s];e=Math.min(e,l.x),r=Math.max(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.y)}return[e,n,r,i]},i.prototype.toGeoJSON=o.prototype.toGeoJSON},{\"../data/bucket\":329,\"point-geometry\":484,\"vector-tile\":550}],361:[function(t,e,r){\"use strict\";function n(t,e,r){this.id=t,this.dispatcher=r,this.url=e.url,this.coordinates=e.coordinates,u.getImage(e.url,function(t,r){if(t)return this.fire(\"error\",{error:t});this.image=r,this.image.addEventListener(\"load\",function(){this.map._rerender()}.bind(this)),this._loaded=!0,this.fire(\"load\"),this.map&&this.setCoordinates(e.coordinates)}.bind(this))}var i=t(\"../util/util\"),a=t(\"./tile_coord\"),o=t(\"../geo/lng_lat\"),s=t(\"point-geometry\"),l=t(\"../util/evented\"),u=t(\"../util/ajax\"),c=t(\"../data/bucket\").EXTENT,h=t(\"../render/draw_raster\").RasterBoundsArray,f=t(\"../data/buffer\"),d=t(\"../render/vertex_array_object\");e.exports=n,n.prototype=i.inherit(l,{minzoom:0,maxzoom:22,tileSize:512,onAdd:function(t){this.map=t,this.image&&this.setCoordinates(this.coordinates)},setCoordinates:function(t){this.coordinates=t;var e=this.map,r=t.map(function(t){return e.transform.locationCoordinate(o.convert(t)).zoomTo(0)}),n=this.centerCoord=i.getCoordinatesCenter(r);return n.column=Math.round(n.column),n.row=Math.round(n.row),this.minzoom=this.maxzoom=n.zoom,this._coord=new a(n.zoom,n.column,n.row),this._tileCoords=r.map(function(t){var e=t.zoomTo(n.zoom);return new s(Math.round((e.column-n.column)*c),Math.round((e.row-n.row)*c))}),this.fire(\"change\"),this},_setTile:function(t){this._prepared=!1,this.tile=t;var e=new h;e.emplaceBack(this._tileCoords[0].x,this._tileCoords[0].y,0,0),e.emplaceBack(this._tileCoords[1].x,this._tileCoords[1].y,32767,0),e.emplaceBack(this._tileCoords[3].x,this._tileCoords[3].y,0,32767),e.emplaceBack(this._tileCoords[2].x,this._tileCoords[2].y,32767,32767),this.tile.buckets={},this.tile.boundsBuffer=new f(e.serialize(),h.serialize(),f.BufferType.VERTEX),this.tile.boundsVAO=new d,this.tile.state=\"loaded\"},prepare:function(){if(this._loaded&&this.image&&this.image.complete&&this.tile){var t=this.map.painter,e=t.gl;this._prepared?(e.bindTexture(e.TEXTURE_2D,this.tile.texture),e.texSubImage2D(e.TEXTURE_2D,0,0,0,e.RGBA,e.UNSIGNED_BYTE,this.image)):(this.tile.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.tile.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,this.image))}},loadTile:function(t,e){this._coord&&this._coord.toString()===t.coord.toString()?(this._setTile(t),e(null)):(t.state=\"errored\",e(null))},serialize:function(){return{type:\"image\",urls:this.url,coordinates:this.coordinates}}})},{\"../data/bucket\":329,\"../data/buffer\":334,\"../geo/lng_lat\":339,\"../render/draw_raster\":351,\"../render/vertex_array_object\":357,\"../util/ajax\":425,\"../util/evented\":434,\"../util/util\":442,\"./tile_coord\":369,\"point-geometry\":484}],362:[function(t,e,r){\"use strict\";var n=t(\"../util/util\"),i=t(\"../util/ajax\"),a=t(\"../util/browser\"),o=t(\"../util/mapbox\").normalizeSourceURL;e.exports=function(t,e){var r=function(t,r){if(t)return e(t);var i=n.pick(r,[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\"]);r.vector_layers&&(i.vectorLayers=r.vector_layers,i.vectorLayerIds=i.vectorLayers.map(function(t){return t.id})),e(null,i)};t.url?i.getJSON(o(t.url),r):a.frame(r.bind(null,null,t))}},{\"../util/ajax\":425,\"../util/browser\":426,\"../util/mapbox\":439,\"../util/util\":442}],363:[function(t,e,r){\"use strict\";var n=t(\"../data/bucket\");e.exports=function(t,e,r){return e*(n.EXTENT/(t.tileSize*Math.pow(2,r-t.coord.z)))}},{\"../data/bucket\":329}],364:[function(t,e,r){\"use strict\";function n(t,e){var r=t.coord,n=e.coord;return r.z-n.z||r.y-n.y||r.w-n.w||r.x-n.x}function i(t){for(var e=t[0]||{},r=1;r<t.length;r++){var n=t[r];for(var i in n){var a=n[i],o=e[i];if(void 0===o)o=e[i]=a;else for(var s=0;s<a.length;s++)o.push(a[s])}}return e}var a=t(\"./tile_coord\");r.rendered=function(t,e,r,a,o,s){var l=t.tilesIn(r);l.sort(n);for(var u=[],c=0;c<l.length;c++){var h=l[c];h.tile.featureIndex&&u.push(h.tile.featureIndex.query({queryGeometry:h.queryGeometry,scale:h.scale,tileSize:h.tile.tileSize,bearing:s,params:a},e))}return i(u)},r.source=function(t,e){for(var r=t.getRenderableIds().map(function(e){return t.getTileByID(e)}),n=[],i={},o=0;o<r.length;o++){var s=r[o],l=new a(Math.min(s.sourceMaxZoom,s.coord.z),s.coord.x,s.coord.y,0).id;i[l]||(i[l]=!0,s.querySourceFeatures(n,e))}return n}},{\"./tile_coord\":369}],365:[function(t,e,r){\"use strict\";function n(t,e,r){this.id=t,this.dispatcher=r,i.extend(this,i.pick(e,[\"url\",\"scheme\",\"tileSize\"])),s(e,function(t,e){if(t)return this.fire(\"error\",t);i.extend(this,e),this.fire(\"load\")}.bind(this))}var i=t(\"../util/util\"),a=t(\"../util/ajax\"),o=t(\"../util/evented\"),s=t(\"./load_tilejson\"),l=t(\"../util/mapbox\").normalizeTileURL;e.exports=n,n.prototype=i.inherit(o,{minzoom:0,maxzoom:22,roundZoom:!0,scheme:\"xyz\",tileSize:512,_loaded:!1,onAdd:function(t){this.map=t},serialize:function(){return{type:\"raster\",url:this.url,tileSize:this.tileSize}},loadTile:function(t,e){function r(r,n){if(delete t.request,!t.aborted){if(r)return e(r);var i=this.map.painter.gl;t.texture=this.map.painter.getTexture(n.width),t.texture?(i.bindTexture(i.TEXTURE_2D,t.texture),i.texSubImage2D(i.TEXTURE_2D,0,0,0,i.RGBA,i.UNSIGNED_BYTE,n)):(t.texture=i.createTexture(),i.bindTexture(i.TEXTURE_2D,t.texture),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MIN_FILTER,i.LINEAR_MIPMAP_NEAREST),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MAG_FILTER,i.LINEAR),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_S,i.CLAMP_TO_EDGE),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_T,i.CLAMP_TO_EDGE),i.pixelStorei(i.UNPACK_PREMULTIPLY_ALPHA_WEBGL,!0),i.texImage2D(i.TEXTURE_2D,0,i.RGBA,i.RGBA,i.UNSIGNED_BYTE,n),t.texture.size=n.width),i.generateMipmap(i.TEXTURE_2D),this.map.animationLoop.set(this.map.style.rasterFadeDuration),t.state=\"loaded\",e(null)}}var n=l(t.coord.url(this.tiles,null,this.scheme),this.url,this.tileSize);t.request=a.getImage(n,r.bind(this))},abortTile:function(t){t.request&&(t.request.abort(),delete t.request)},unloadTile:function(t){t.texture&&this.map.painter.saveTexture(t.texture)}})},{\"../util/ajax\":425,\"../util/evented\":434,\"../util/mapbox\":439,\"../util/util\":442,\"./load_tilejson\":362}],366:[function(t,e,r){\"use strict\";var n=t(\"../util/util\"),i={vector:t(\"../source/vector_tile_source\"),raster:t(\"../source/raster_tile_source\"),geojson:t(\"../source/geojson_source\"),video:t(\"../source/video_source\"),image:t(\"../source/image_source\")};r.create=function(t,e,r){if(e=new i[e.type](t,e,r),e.id!==t)throw new Error(\"Expected Source id to be \"+t+\" instead of \"+e.id);return n.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],e),e},r.getType=function(t){return i[t]},r.setType=function(t,e){i[t]=e}},{\"../source/geojson_source\":358,\"../source/image_source\":361,\"../source/raster_tile_source\":365,\"../source/vector_tile_source\":370,\"../source/video_source\":372,\"../util/util\":442}],367:[function(t,e,r){\"use strict\";function n(t,e,r){this.id=t,this.dispatcher=r;var n=this._source=o.create(t,e,r).on(\"load\",function(){this.map&&this._source.onAdd&&this._source.onAdd(this.map),this._sourceLoaded=!0,this.tileSize=n.tileSize,this.minzoom=n.minzoom,this.maxzoom=n.maxzoom,this.roundZoom=n.roundZoom,this.reparseOverscaled=n.reparseOverscaled,this.isTileClipped=n.isTileClipped,this.attribution=n.attribution,this.vectorLayerIds=n.vectorLayerIds,this.fire(\"load\")}.bind(this)).on(\"error\",function(t){this._sourceErrored=!0,this.fire(\"error\",t)}.bind(this)).on(\"change\",function(){this.reload(),this.transform&&this.update(this.transform,this.map&&this.map.style.rasterFadeDuration),this.fire(\"change\")}.bind(this));this._tiles={},this._cache=new c(0,this.unloadTile.bind(this)),this._isIdRenderable=this._isIdRenderable.bind(this)}function i(t,e,r){var n=r.zoomTo(Math.min(t.z,e));return{x:(n.column-(t.x+t.w*Math.pow(2,t.z)))*d,y:(n.row-t.y)*d}}function a(t,e){return t%32-e%32}var o=t(\"./source\"),s=t(\"./tile\"),l=t(\"../util/evented\"),u=t(\"./tile_coord\"),c=t(\"../util/lru_cache\"),h=t(\"../geo/coordinate\"),f=t(\"../util/util\"),d=t(\"../data/bucket\").EXTENT;e.exports=n,n.maxOverzooming=10,n.maxUnderzooming=3,n.prototype=f.inherit(l,{onAdd:function(t){this.map=t,this._source&&this._source.onAdd&&this._source.onAdd(t)},loaded:function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},getSource:function(){return this._source},loadTile:function(t,e){return this._source.loadTile(t,e)},unloadTile:function(t){if(this._source.unloadTile)return this._source.unloadTile(t)},abortTile:function(t){if(this._source.abortTile)return this._source.abortTile(t)},serialize:function(){return this._source.serialize()},prepare:function(){if(this._sourceLoaded&&this._source.prepare)return this._source.prepare()},getIds:function(){return Object.keys(this._tiles).map(Number).sort(a)},getRenderableIds:function(){return this.getIds().filter(this._isIdRenderable)},_isIdRenderable:function(t){return this._tiles[t].isRenderable()&&!this._coveredTiles[t]},reload:function(){this._cache.reset();for(var t in this._tiles){var e=this._tiles[t];\"loading\"!==e.state&&(e.state=\"reloading\"),this.loadTile(this._tiles[t],this._tileLoaded.bind(this,this._tiles[t]))}},_tileLoaded:function(t,e){if(e)return t.state=\"errored\",this.fire(\"tile.error\",{tile:t,error:e}),void this._source.fire(\"tile.error\",{tile:t,error:e});t.source=this,t.timeAdded=(new Date).getTime(),this.fire(\"tile.load\",{tile:t}),this._source.fire(\"tile.load\",{tile:t})},getTile:function(t){return this.getTileByID(t.id)},getTileByID:function(t){return this._tiles[t]},getZoom:function(t){return t.zoom+t.scaleZoom(t.tileSize/this.tileSize)},findLoadedChildren:function(t,e,r){var n=!1;for(var i in this._tiles){var a=this._tiles[i];if(!(r[i]||!a.isRenderable()||a.coord.z<=t.z||a.coord.z>e)){var o=Math.pow(2,Math.min(a.coord.z,this.maxzoom)-Math.min(t.z,this.maxzoom));if(Math.floor(a.coord.x/o)===t.x&&Math.floor(a.coord.y/o)===t.y)for(r[i]=!0,n=!0;a&&a.coord.z-1>t.z;){var s=a.coord.parent(this.maxzoom).id;a=this._tiles[s],a&&a.isRenderable()&&(delete r[i],r[s]=!0)}}}return n},findLoadedParent:function(t,e,r){for(var n=t.z-1;n>=e;n--){t=t.parent(this.maxzoom);var i=this._tiles[t.id];if(i&&i.isRenderable())return r[t.id]=!0,i;if(this._cache.has(t.id))return this.addTile(t),r[t.id]=!0,this._tiles[t.id]}},updateCacheSize:function(t){var e=Math.ceil(t.width/t.tileSize)+1,r=Math.ceil(t.height/t.tileSize)+1,n=e*r;this._cache.setMaxSize(Math.floor(5*n))},update:function(t,e){if(this._sourceLoaded){var r,i,a;this.updateCacheSize(t);var o=(this.roundZoom?Math.round:Math.floor)(this.getZoom(t)),s=Math.max(o-n.maxOverzooming,this.minzoom),l=Math.max(o+n.maxUnderzooming,this.minzoom),c={},h=(new Date).getTime();this._coveredTiles={};var d=this.used?t.coveringTiles(this._source):[];for(r=0;r<d.length;r++)i=d[r],a=this.addTile(i),c[i.id]=!0,a.isRenderable()||this.findLoadedChildren(i,l,c)||this.findLoadedParent(i,s,c);for(var p={},m=Object.keys(c),v=0;v<m.length;v++){var g=m[v];i=u.fromID(g),a=this._tiles[g],a&&a.timeAdded>h-(e||0)&&(this.findLoadedChildren(i,l,c)&&(c[g]=!0),this.findLoadedParent(i,s,p))}var y;for(y in p)c[y]||(this._coveredTiles[y]=!0);for(y in p)c[y]=!0;var b=f.keysDifference(this._tiles,c);for(r=0;r<b.length;r++)this.removeTile(+b[r]);this.transform=t}},addTile:function(t){var e=this._tiles[t.id];if(e)return e;var r=t.wrapped()\n",
       ";if(e=this._tiles[r.id],e||(e=this._cache.get(r.id))&&this._redoPlacement&&this._redoPlacement(e),!e){var n=t.z,i=n>this.maxzoom?Math.pow(2,n-this.maxzoom):1;e=new s(r,this.tileSize*i,this.maxzoom),this.loadTile(e,this._tileLoaded.bind(this,e))}return e.uses++,this._tiles[t.id]=e,this.fire(\"tile.add\",{tile:e}),this._source.fire(\"tile.add\",{tile:e}),e},removeTile:function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this.fire(\"tile.remove\",{tile:e}),this._source.fire(\"tile.remove\",{tile:e}),e.uses>0||(e.isRenderable()?this._cache.add(e.coord.wrapped().id,e):(e.aborted=!0,this.abortTile(e),this.unloadTile(e))))},clearTiles:function(){for(var t in this._tiles)this.removeTile(t);this._cache.reset()},tilesIn:function(t){for(var e={},r=this.getIds(),n=1/0,a=1/0,o=-1/0,s=-1/0,l=t[0].zoom,c=0;c<t.length;c++){var f=t[c];n=Math.min(n,f.column),a=Math.min(a,f.row),o=Math.max(o,f.column),s=Math.max(s,f.row)}for(var p=0;p<r.length;p++){var m=this._tiles[r[p]],v=u.fromID(r[p]),g=[i(v,m.sourceMaxZoom,new h(n,a,l)),i(v,m.sourceMaxZoom,new h(o,s,l))];if(g[0].x<d&&g[0].y<d&&g[1].x>=0&&g[1].y>=0){for(var y=[],b=0;b<t.length;b++)y.push(i(v,m.sourceMaxZoom,t[b]));var x=e[m.coord.id];void 0===x&&(x=e[m.coord.id]={tile:m,coord:v,queryGeometry:[],scale:Math.pow(2,this.transform.zoom-m.coord.z)}),x.queryGeometry.push(y)}}var _=[];for(var w in e)_.push(e[w]);return _},redoPlacement:function(){for(var t=this.getIds(),e=0;e<t.length;e++){this.getTileByID(t[e]).redoPlacement(this)}},getVisibleCoordinates:function(){return this.getRenderableIds().map(u.fromID)}})},{\"../data/bucket\":329,\"../geo/coordinate\":338,\"../util/evented\":434,\"../util/lru_cache\":438,\"../util/util\":442,\"./source\":366,\"./tile\":368,\"./tile_coord\":369}],368:[function(t,e,r){\"use strict\";function n(t,e,r){this.coord=t,this.uid=a.uniqueId(),this.uses=0,this.tileSize=e,this.sourceMaxZoom=r,this.buckets={},this.state=\"loading\"}function i(t,e){if(e){for(var r={},n=0;n<t.length;n++){var i=e.getLayer(t[n].layerId);if(i){var s=o.create(a.extend({layer:i,childLayers:t[n].childLayerIds.map(e.getLayer.bind(e)).filter(function(t){return t})},t[n]));r[s.id]=s}}return r}}var a=t(\"../util/util\"),o=t(\"../data/bucket\"),s=t(\"../data/feature_index\"),l=t(\"vector-tile\"),u=t(\"pbf\"),c=t(\"../util/vectortile_to_geojson\"),h=t(\"feature-filter\"),f=t(\"../symbol/collision_tile\"),d=t(\"../symbol/collision_box\"),p=t(\"../symbol/symbol_instances\"),m=t(\"../symbol/symbol_quads\");e.exports=n,n.prototype={loadVectorData:function(t,e){this.state=\"loaded\",t&&(this.collisionBoxArray=new d(t.collisionBoxArray),this.collisionTile=new f(t.collisionTile,this.collisionBoxArray),this.symbolInstancesArray=new p(t.symbolInstancesArray),this.symbolQuadsArray=new m(t.symbolQuadsArray),this.featureIndex=new s(t.featureIndex,t.rawTileData,this.collisionTile),this.rawTileData=t.rawTileData,this.buckets=i(t.buckets,e))},reloadSymbolData:function(t,e,r){if(\"unloaded\"!==this.state){this.collisionTile=new f(t.collisionTile,this.collisionBoxArray),this.featureIndex.setCollisionTile(this.collisionTile);for(var n in this.buckets){var o=this.buckets[n];\"symbol\"===o.type&&(o.destroy(e.gl),delete this.buckets[n])}a.extend(this.buckets,i(t.buckets,r))}},unloadVectorData:function(t){for(var e in this.buckets){this.buckets[e].destroy(t.gl)}this.collisionBoxArray=null,this.symbolQuadsArray=null,this.symbolInstancesArray=null,this.collisionTile=null,this.featureIndex=null,this.rawTileData=null,this.buckets=null,this.state=\"unloaded\"},redoPlacement:function(t){function e(e,r){this.reloadSymbolData(r,t.map.painter,t.map.style),t.fire(\"tile.load\",{tile:this}),this.state=\"loaded\",this.redoWhenDone&&(this.redoPlacement(t),this.redoWhenDone=!1)}if(\"loaded\"!==this.state||\"reloading\"===this.state)return void(this.redoWhenDone=!0);this.state=\"reloading\",t.dispatcher.send(\"redo placement\",{uid:this.uid,source:t.id,angle:t.map.transform.angle,pitch:t.map.transform.pitch,showCollisionBoxes:t.map.showCollisionBoxes},e.bind(this),this.workerID)},getBucket:function(t){return this.buckets&&this.buckets[t.ref||t.id]},querySourceFeatures:function(t,e){if(this.rawTileData){this.vtLayers||(this.vtLayers=new l.VectorTile(new u(new Uint8Array(this.rawTileData))).layers);var r=this.vtLayers._geojsonTileLayer||this.vtLayers[e.sourceLayer];if(r)for(var n=h(e.filter),i={z:this.coord.z,x:this.coord.x,y:this.coord.y},a=0;a<r.length;a++){var o=r.feature(a);if(n(o)){var s=new c(o,this.coord.z,this.coord.x,this.coord.y);s.tile=i,t.push(s)}}}},isRenderable:function(){return\"loaded\"===this.state||\"reloading\"===this.state}}},{\"../data/bucket\":329,\"../data/feature_index\":336,\"../symbol/collision_box\":394,\"../symbol/collision_tile\":396,\"../symbol/symbol_instances\":405,\"../symbol/symbol_quads\":406,\"../util/util\":442,\"../util/vectortile_to_geojson\":443,\"feature-filter\":132,pbf:478,\"vector-tile\":550}],369:[function(t,e,r){\"use strict\";function n(t,e,r,n){l(!isNaN(t)&&t>=0&&t%1==0),l(!isNaN(e)&&e>=0&&e%1==0),l(!isNaN(r)&&r>=0&&r%1==0),isNaN(n)&&(n=0),this.z=+t,this.x=+e,this.y=+r,this.w=+n,(n*=2)<0&&(n=-1*n-1);var i=1<<this.z;this.id=32*(i*i*n+i*this.y+this.x)+this.z,this.posMatrix=null}function i(t,e,r){for(var n,i=\"\",a=t;a>0;a--)n=1<<a-1,i+=(e&n?1:0)+(r&n?2:0);return i}function a(t,e){if(t.row>e.row){var r=t;t=e,e=r}return{x0:t.column,y0:t.row,x1:e.column,y1:e.row,dx:e.column-t.column,dy:e.row-t.row}}function o(t,e,r,n,i){var a=Math.max(r,Math.floor(e.y0)),o=Math.min(n,Math.ceil(e.y1));if(t.x0===e.x0&&t.y0===e.y0?t.x0+e.dy/t.dy*t.dx<e.x1:t.x1-e.dy/t.dy*t.dx<e.x0){var s=t;t=e,e=s}for(var l=t.dx/t.dy,u=e.dx/e.dy,c=t.dx>0,h=e.dx<0,f=a;f<o;f++){var d=l*Math.max(0,Math.min(t.dy,f+c-t.y0))+t.x0,p=u*Math.max(0,Math.min(e.dy,f+h-e.y0))+e.x0;i(Math.floor(p),Math.ceil(d),f)}}function s(t,e,r,n,i,s){var l,u=a(t,e),c=a(e,r),h=a(r,t);u.dy>c.dy&&(l=u,u=c,c=l),u.dy>h.dy&&(l=u,u=h,h=l),c.dy>h.dy&&(l=c,c=h,h=l),u.dy&&o(h,u,n,i,s),c.dy&&o(h,c,n,i,s)}var l=t(\"assert\"),u=t(\"whoots-js\"),c=t(\"../geo/coordinate\");e.exports=n,n.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y},n.prototype.toCoordinate=function(t){var e=Math.min(this.z,t),r=Math.pow(2,e),n=this.y,i=this.x+r*this.w;return new c(i,n,e)},n.fromID=function(t){var e=t%32,r=1<<e,i=(t-e)/32,a=i%r,o=(i-a)/r%r,s=Math.floor(i/(r*r));return s%2!=0&&(s=-1*s-1),s/=2,new n(e,a,o,s)},n.prototype.url=function(t,e,r){var n=u.getTileBBox(this.x,this.y,this.z),a=i(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",Math.min(this.z,e||this.z)).replace(\"{x}\",this.x).replace(\"{y}\",\"tms\"===r?Math.pow(2,this.z)-this.y-1:this.y).replace(\"{quadkey}\",a).replace(\"{bbox-epsg-3857}\",n)},n.prototype.parent=function(t){return 0===this.z?null:this.z>t?new n(this.z-1,this.x,this.y,this.w):new n(this.z-1,Math.floor(this.x/2),Math.floor(this.y/2),this.w)},n.prototype.wrapped=function(){return new n(this.z,this.x,this.y,0)},n.prototype.children=function(t){if(this.z>=t)return[new n(this.z+1,this.x,this.y,this.w)];var e=this.z+1,r=2*this.x,i=2*this.y;return[new n(e,r,i,this.w),new n(e,r+1,i,this.w),new n(e,r,i+1,this.w),new n(e,r+1,i+1,this.w)]},n.cover=function(t,e,r){function i(t,e,i){var s,l,u;if(i>=0&&i<=a)for(s=t;s<e;s++)l=(s%a+a)%a,u=new n(r,l,i,Math.floor(s/a)),o[u.id]=u}var a=1<<t,o={};return s(e[0],e[1],e[2],0,a,i),s(e[2],e[3],e[0],0,a,i),Object.keys(o).map(function(t){return o[t]})}},{\"../geo/coordinate\":338,assert:47,\"whoots-js\":566}],370:[function(t,e,r){\"use strict\";function n(t,e,r){if(this.id=t,this.dispatcher=r,a.extend(this,a.pick(e,[\"url\",\"scheme\",\"tileSize\"])),this._options=a.extend({type:\"vector\"},e),512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");o(e,function(t,e){if(t)return void this.fire(\"error\",t);a.extend(this,e),this.fire(\"load\")}.bind(this))}var i=t(\"../util/evented\"),a=t(\"../util/util\"),o=t(\"./load_tilejson\"),s=t(\"../util/mapbox\").normalizeTileURL;e.exports=n,n.prototype=a.inherit(i,{minzoom:0,maxzoom:22,scheme:\"xyz\",tileSize:512,reparseOverscaled:!0,isTileClipped:!0,onAdd:function(t){this.map=t},serialize:function(){return a.extend({},this._options)},loadTile:function(t,e){function r(r,n){if(!t.aborted){if(r)return e(r);t.loadVectorData(n,this.map.style),t.redoWhenDone&&(t.redoWhenDone=!1,t.redoPlacement(this)),e(null),t.reloadCallback&&(this.loadTile(t,t.reloadCallback),t.reloadCallback=null)}}var n=t.coord.z>this.maxzoom?Math.pow(2,t.coord.z-this.maxzoom):1,i={url:s(t.coord.url(this.tiles,this.maxzoom,this.scheme),this.url),uid:t.uid,coord:t.coord,zoom:t.coord.z,tileSize:this.tileSize*n,source:this.id,overscaling:n,angle:this.map.transform.angle,pitch:this.map.transform.pitch,showCollisionBoxes:this.map.showCollisionBoxes};t.workerID?\"loading\"===t.state?t.reloadCallback=e:(i.rawTileData=t.rawTileData,this.dispatcher.send(\"reload tile\",i,r.bind(this),t.workerID)):t.workerID=this.dispatcher.send(\"load tile\",i,r.bind(this))},abortTile:function(t){this.dispatcher.send(\"abort tile\",{uid:t.uid,source:this.id},null,t.workerID)},unloadTile:function(t){t.unloadVectorData(this.map.painter),this.dispatcher.send(\"remove tile\",{uid:t.uid,source:this.id},null,t.workerID)}})},{\"../util/evented\":434,\"../util/mapbox\":439,\"../util/util\":442,\"./load_tilejson\":362}],371:[function(t,e,r){\"use strict\";function n(t,e,r){this.actor=t,this.styleLayers=e,r&&(this.loadVectorData=r),this.loading={},this.loaded={}}var i=t(\"../util/ajax\"),a=t(\"vector-tile\"),o=t(\"pbf\"),s=t(\"./worker_tile\");e.exports=n,n.prototype={loadTile:function(t,e){function r(t,r){return delete this.loading[n][i],t?e(t):r?(a.data=r.tile,a.parse(a.data,this.styleLayers.getLayerFamilies(),this.actor,r.rawTileData,e),this.loaded[n]=this.loaded[n]||{},void(this.loaded[n][i]=a)):e(null,null)}var n=t.source,i=t.uid;this.loading[n]||(this.loading[n]={});var a=this.loading[n][i]=new s(t);a.abort=this.loadVectorData(t,r.bind(this))},reloadTile:function(t,e){var r=this.loaded[t.source],n=t.uid;if(r&&r[n]){var i=r[n];i.parse(i.data,this.styleLayers.getLayerFamilies(),this.actor,t.rawTileData,e)}},abortTile:function(t){var e=this.loading[t.source],r=t.uid;e&&e[r]&&e[r].abort&&(e[r].abort(),delete e[r])},removeTile:function(t){var e=this.loaded[t.source],r=t.uid;e&&e[r]&&delete e[r]},loadVectorData:function(t,e){function r(t,r){if(t)return e(t);var n=new a.VectorTile(new o(new Uint8Array(r)));e(t,{tile:n,rawTileData:r})}var n=i.getArrayBuffer(t.url,r.bind(this));return function(){n.abort()}},redoPlacement:function(t,e){var r=this.loaded[t.source],n=this.loading[t.source],i=t.uid;if(r&&r[i]){var a=r[i],o=a.redoPlacement(t.angle,t.pitch,t.showCollisionBoxes);o.result&&e(null,o.result,o.transferables)}else n&&n[i]&&(n[i].angle=t.angle)}}},{\"../util/ajax\":425,\"./worker_tile\":374,pbf:478,\"vector-tile\":550}],372:[function(t,e,r){\"use strict\";function n(t,e){this.id=t,this.urls=e.urls,this.coordinates=e.coordinates,u.getVideo(e.urls,function(t,r){if(t)return this.fire(\"error\",{error:t});this.video=r,this.video.loop=!0;var n;this.video.addEventListener(\"playing\",function(){n=this.map.style.animationLoop.set(1/0),this.map._rerender()}.bind(this)),this.video.addEventListener(\"pause\",function(){this.map.style.animationLoop.cancel(n)}.bind(this)),this.map&&(this.video.play(),this.setCoordinates(e.coordinates)),this.fire(\"load\")}.bind(this))}var i=t(\"../util/util\"),a=t(\"./tile_coord\"),o=t(\"../geo/lng_lat\"),s=t(\"point-geometry\"),l=t(\"../util/evented\"),u=t(\"../util/ajax\"),c=t(\"../data/bucket\").EXTENT,h=t(\"../render/draw_raster\").RasterBoundsArray,f=t(\"../data/buffer\"),d=t(\"../render/vertex_array_object\");e.exports=n,n.prototype=i.inherit(l,{minzoom:0,maxzoom:22,tileSize:512,roundZoom:!0,getVideo:function(){return this.video},onAdd:function(t){this.map||(this.map=t,this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},setCoordinates:function(t){this.coordinates=t;var e=this.map,r=t.map(function(t){return e.transform.locationCoordinate(o.convert(t)).zoomTo(0)}),n=this.centerCoord=i.getCoordinatesCenter(r);return n.column=Math.round(n.column),n.row=Math.round(n.row),this.minzoom=this.maxzoom=n.zoom,this._coord=new a(n.zoom,n.column,n.row),this._tileCoords=r.map(function(t){var e=t.zoomTo(n.zoom);return new s(Math.round((e.column-n.column)*c),Math.round((e.row-n.row)*c))}),this.fire(\"change\"),this},_setTile:function(t){this._prepared=!1,this.tile=t;var e=new h;e.emplaceBack(this._tileCoords[0].x,this._tileCoords[0].y,0,0),e.emplaceBack(this._tileCoords[1].x,this._tileCoords[1].y,32767,0),e.emplaceBack(this._tileCoords[3].x,this._tileCoords[3].y,0,32767),e.emplaceBack(this._tileCoords[2].x,this._tileCoords[2].y,32767,32767),this.tile.buckets={},this.tile.boundsBuffer=new f(e.serialize(),h.serialize(),f.BufferType.VERTEX),this.tile.boundsVAO=new d,this.tile.state=\"loaded\"},prepare:function(){if(!(this.video.readyState<2)&&this.tile){var t=this.map.painter.gl;this._prepared?(t.bindTexture(t.TEXTURE_2D,this.tile.texture),t.texSubImage2D(t.TEXTURE_2D,0,0,0,t.RGBA,t.UNSIGNED_BYTE,this.video)):(this._prepared=!0,this.tile.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.tile.texture),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),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.LINEAR),t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,this.video)),this._currentTime=this.video.currentTime}},loadTile:function(t,e){this._coord&&this._coord.toString()===t.coord.toString()?(this._setTile(t),e(null)):(t.state=\"errored\",e(null))},serialize:function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}}})},{\"../data/bucket\":329,\"../data/buffer\":334,\"../geo/lng_lat\":339,\"../render/draw_raster\":351,\"../render/vertex_array_object\":357,\"../util/ajax\":425,\"../util/evented\":434,\"../util/util\":442,\"./tile_coord\":369,\"point-geometry\":484}],373:[function(t,e,r){\"use strict\";function n(t){this.self=t,this.actor=new a(t,this);var e={getLayers:function(){return this.layers}.bind(this),getLayerFamilies:function(){return this.layerFamilies}.bind(this)};this.workerSources={vector:new l(this.actor,e),geojson:new u(this.actor,e)},this.self.registerWorkerSource=function(t,r){if(this.workerSources[t])throw new Error('Worker source with name \"'+t+'\" already registered.');this.workerSources[t]=new r(this.actor,e)}.bind(this)}function i(t){var e={};for(var r in t){var n=t[r],i=n.ref||n.id,a=t[i];a.layout&&\"none\"===a.layout.visibility||(e[i]=e[i]||[],r===i?e[i].unshift(n):e[i].push(n))}return e}var a=t(\"../util/actor\"),o=t(\"../style/style_layer\"),s=t(\"../util/util\"),l=t(\"./vector_tile_worker_source\"),u=t(\"./geojson_worker_source\");e.exports=function(t){return new n(t)},s.extend(n.prototype,{\"set layers\":function(t){function e(t){var e=o.create(t,t.ref&&r.layers[t.ref]);e.updatePaintTransitions({},{transition:!1}),r.layers[e.id]=e}this.layers={};for(var r=this,n=[],a=0;a<t.length;a++){var s=t[a];\"fill\"!==s.type&&\"line\"!==s.type&&\"circle\"!==s.type&&\"symbol\"!==s.type||(s.ref?n.push(a):e(s))}for(var l=0;l<n.length;l++)e(t[n[l]]);this.layerFamilies=i(this.layers)},\"update layers\":function(t){function e(t){var e=a.layers[t.ref];a.layers[t.id]?a.layers[t.id].set(t,e):a.layers[t.id]=o.create(t,e),a.layers[t.id].updatePaintTransitions({},{transition:!1})}var r,n,a=this;for(r in t)n=t[r],n.ref&&e(n);for(r in t)n=t[r],n.ref||e(n);this.layerFamilies=i(this.layers)},\"load tile\":function(t,e){var r=t.type||\"vector\";this.workerSources[r].loadTile(t,e)},\"reload tile\":function(t,e){var r=t.type||\"vector\";this.workerSources[r].reloadTile(t,e)},\"abort tile\":function(t){var e=t.type||\"vector\";this.workerSources[e].abortTile(t)},\"remove tile\":function(t){var e=t.type||\"vector\";this.workerSources[e].removeTile(t)},\"redo placement\":function(t,e){var r=t.type||\"vector\";this.workerSources[r].redoPlacement(t,e)},\"load worker source\":function(t,e){try{this.self.importScripts(t.url),e()}catch(t){e(t)}}})},{\"../style/style_layer\":381,\"../util/actor\":424,\"../util/util\":442,\"./geojson_worker_source\":359,\"./vector_tile_worker_source\":371}],374:[function(t,e,r){\"use strict\";function n(t){this.coord=t.coord,this.uid=t.uid,this.zoom=t.zoom,this.tileSize=t.tileSize,this.source=t.source,this.overscaling=t.overscaling,this.angle=t.angle,this.pitch=t.pitch,this.showCollisionBoxes=t.showCollisionBoxes}function i(t){return!t.isEmpty()}function a(t){return t.serialize()}function o(t){var e=[];for(var r in t)t[r].getTransferables(e);return e}function s(t){return t.id}var l=t(\"../data/feature_index\"),u=t(\"../symbol/collision_tile\"),c=t(\"../data/bucket\"),h=t(\"../symbol/collision_box\"),f=t(\"../util/dictionary_coder\"),d=t(\"../util/util\"),p=t(\"../symbol/symbol_instances\"),m=t(\"../symbol/symbol_quads\");e.exports=n,n.prototype.parse=function(t,e,r,n,v){function g(t,e){for(var r=0;r<t.length;r++){var n=t.feature(r);n.index=r;for(var i in e)e[i].filter(n)&&e[i].features.push(n)}}function y(t){if(t)return v(t);if(2===++N){for(var e=P.length-1;e>=0;e--)b(E,P[e]);x()}}function b(t,e){if(e.populateArrays(A,j,F),\"symbol\"!==e.type)for(var r=0;r<e.features.length;r++){var n=e.features[r];T.insert(n,n.index,e.sourceLayerIndex,e.index)}e.features=null}function x(){E.status=\"done\",E.redoPlacementAfterDone&&(E.redoPlacement(E.angle,E.pitch,null),E.redoPlacementAfterDone=!1);var t=T.serialize(),e=A.serialize(),r=E.collisionBoxArray.serialize(),s=E.symbolInstancesArray.serialize(),l=E.symbolQuadsArray.serialize(),u=[n].concat(t.transferables).concat(e.transferables),c=D.filter(i);v(null,{buckets:c.map(a),featureIndex:t.data,collisionTile:e.data,collisionBoxArray:r,symbolInstancesArray:s,symbolQuadsArray:l,rawTileData:n},o(c).concat(u))}this.status=\"parsing\",this.data=t,this.collisionBoxArray=new h,this.symbolInstancesArray=new p,this.symbolQuadsArray=new m;var _,w,M,k,A=new u(this.angle,this.pitch,this.collisionBoxArray),T=new l(this.coord,this.overscaling,A,t.layers),S=new f(t.layers?Object.keys(t.layers).sort():[\"_geojsonTileLayer\"]),E=this,L={},C={},I=0;for(var z in e)w=e[z][0],w.source===this.source&&(w.ref||w.minzoom&&this.zoom<w.minzoom||w.maxzoom&&this.zoom>=w.maxzoom||w.layout&&\"none\"===w.layout.visibility||t.layers&&!t.layers[w.sourceLayer]||(k=c.create({layer:w,index:I++,childLayers:e[z],zoom:this.zoom,overscaling:this.overscaling,showCollisionBoxes:this.showCollisionBoxes,collisionBoxArray:this.collisionBoxArray,symbolQuadsArray:this.symbolQuadsArray,symbolInstancesArray:this.symbolInstancesArray,sourceLayerIndex:S.encode(w.sourceLayer||\"_geojsonTileLayer\")}),k.createFilter(),L[w.id]=k,t.layers&&(M=w.sourceLayer,C[M]=C[M]||{},C[M][w.id]=k)));if(t.layers)for(M in C)1===w.version&&d.warnOnce('Vector tile source \"'+this.source+'\" layer \"'+M+'\" does not use vector tile spec v2 and therefore may have some rendering errors.'),(w=t.layers[M])&&g(w,C[M]);else g(t,L);var D=[],P=this.symbolBuckets=[],O=[];T.bucketLayerIDs={};for(var R in L)k=L[R],0!==k.features.length&&(T.bucketLayerIDs[k.index]=k.childLayers.map(s),D.push(k),\"symbol\"===k.type?P.push(k):O.push(k));var F={},j={},N=0;if(P.length>0){for(_=P.length-1;_>=0;_--)P[_].updateIcons(F),P[_].updateFont(j);for(var B in j)j[B]=Object.keys(j[B]).map(Number);F=Object.keys(F),r.send(\"get glyphs\",{uid:this.uid,stacks:j},function(t,e){j=e,y(t)}),F.length?r.send(\"get icons\",{icons:F},function(t,e){F=e,y(t)}):y()}for(_=O.length-1;_>=0;_--)b(this,O[_]);if(0===P.length)return x()},n.prototype.redoPlacement=function(t,e,r){if(\"done\"!==this.status)return this.redoPlacementAfterDone=!0,this.angle=t,{};for(var n=new u(t,e,this.collisionBoxArray),s=this.symbolBuckets,l=s.length-1;l>=0;l--)s[l].placeFeatures(n,r);var c=n.serialize(),h=s.filter(i);return{result:{buckets:h.map(a),collisionTile:c.data},transferables:o(h).concat(c.transferables)}}},{\"../data/bucket\":329,\"../data/feature_index\":336,\"../symbol/collision_box\":394,\"../symbol/collision_tile\":396,\"../symbol/symbol_instances\":405,\"../symbol/symbol_quads\":406,\"../util/dictionary_coder\":432,\"../util/util\":442}],375:[function(t,e,r){\"use strict\";function n(){this.n=0,this.times=[]}e.exports=n,n.prototype.stopped=function(){return this.times=this.times.filter(function(t){return t.time>=(new Date).getTime()}),!this.times.length},n.prototype.set=function(t){return this.times.push({id:this.n,time:t+(new Date).getTime()}),this.n++},n.prototype.cancel=function(t){this.times=this.times.filter(function(e){return e.id!==t})}},{}],376:[function(t,e,r){\"use strict\";function n(t){this.base=t,this.retina=s.devicePixelRatio>1;var e=this.retina?\"@2x\":\"\";o.getJSON(l(t,e,\".json\"),function(t,e){if(t)return void this.fire(\"error\",{error:t});this.data=e,this.img&&this.fire(\"load\")}.bind(this)),o.getImage(l(t,e,\".png\"),function(t,e){if(t)return void this.fire(\"error\",{error:t});for(var r=e.getData(),n=e.data=new Uint8Array(r.length),i=0;i<r.length;i+=4){var a=r[i+3]/255;n[i+0]=r[i+0]*a,n[i+1]=r[i+1]*a,n[i+2]=r[i+2]*a,n[i+3]=r[i+3]}this.img=e,this.data&&this.fire(\"load\")}.bind(this))}function i(){}var a=t(\"../util/evented\"),o=t(\"../util/ajax\"),s=t(\"../util/browser\"),l=t(\"../util/mapbox\").normalizeSpriteURL;e.exports=n,n.prototype=Object.create(a),n.prototype.toJSON=function(){return this.base},n.prototype.loaded=function(){return!(!this.data||!this.img)},n.prototype.resize=function(){if(s.devicePixelRatio>1!==this.retina){var t=new n(this.base);t.on(\"load\",function(){this.img=t.img,this.data=t.data,this.retina=t.retina}.bind(this))}},i.prototype={x:0,y:0,width:0,height:0,pixelRatio:1,sdf:!1},n.prototype.getSpritePosition=function(t){if(!this.loaded())return new i;var e=this.data&&this.data[t];return e&&this.img?e:new i}},{\"../util/ajax\":425,\"../util/browser\":426,\"../util/evented\":434,\"../util/mapbox\":439}],377:[function(t,e,r){\"use strict\";var n=t(\"csscolorparser\").parseCSSColor,i=t(\"../util/util\"),a=t(\"./style_function\"),o={};e.exports=function t(e){if(a.isFunctionDefinition(e))return i.extend({},e,{stops:e.stops.map(function(e){return[e[0],t(e[1])]})});if(\"string\"==typeof e){if(!o[e]){var r=n(e);if(!r)throw new Error(\"Invalid color \"+e);o[e]=[r[0]/255*r[3],r[1]/255*r[3],r[2]/255*r[3],r[3]]}return o[e]}throw new Error(\"Invalid color \"+e)}},{\"../util/util\":442,\"./style_function\":380,csscolorparser:108}],378:[function(t,e,r){\"use strict\";function n(t,e,r){this.animationLoop=e||new m,this.dispatcher=new p(r||1,this),this.spriteAtlas=new l(1024,1024),this.lineAtlas=new u(256,512),this._layers={},this._order=[],this._groups=[],this.sources={},this.zoomHistory={},c.bindAll([\"_forwardSourceEvent\",\"_forwardTileEvent\",\"_forwardLayerEvent\",\"_redoPlacement\"],this),this._resetUpdates();var n=function(t,e){if(t)return void this.fire(\"error\",{error:t});if(!v.emitErrors(this,v(e))){this._loaded=!0,this.stylesheet=e,this.updateClasses();var r=e.sources;for(var n in r)this.addSource(n,r[n]);e.sprite&&(this.sprite=new o(e.sprite),this.sprite.on(\"load\",this.fire.bind(this,\"change\"))),this.glyphSource=new s(e.glyphs),this._resolve(),this.fire(\"load\")}}.bind(this);\"string\"==typeof t?h.getJSON(f(t),n):d.frame(n.bind(this,null,t)),this.on(\"source.load\",function(t){var e=t.source;if(e&&e.vectorLayerIds)for(var r in this._layers){var n=this._layers[r];n.source===e.id&&this._validateLayer(n)}})}var i=t(\"../util/evented\"),a=t(\"./style_layer\"),o=t(\"./image_sprite\"),s=t(\"../symbol/glyph_source\"),l=t(\"../symbol/sprite_atlas\"),u=t(\"../render/line_atlas\"),c=t(\"../util/util\"),h=t(\"../util/ajax\"),f=t(\"../util/mapbox\").normalizeStyleURL,d=t(\"../util/browser\"),p=t(\"../util/dispatcher\"),m=t(\"./animation_loop\"),v=t(\"./validate_style\"),g=t(\"../source/source\"),y=t(\"../source/query_features\"),b=t(\"../source/source_cache\"),x=t(\"./style_spec\"),_=t(\"./style_function\");e.exports=n,n.prototype=c.inherit(i,{_loaded:!1,_validateLayer:function(t){var e=this.sources[t.source];t.sourceLayer&&e&&e.vectorLayerIds&&-1===e.vectorLayerIds.indexOf(t.sourceLayer)&&this.fire(\"error\",{error:new Error('Source layer \"'+t.sourceLayer+'\" does not exist on source \"'+e.id+'\" as specified by style layer \"'+t.id+'\"')})},loaded:function(){if(!this._loaded)return!1;if(Object.keys(this._updates.sources).length)return!1;for(var t in this.sources)if(!this.sources[t].loaded())return!1;return!(this.sprite&&!this.sprite.loaded())},_resolve:function(){var t,e;this._layers={},this._order=this.stylesheet.layers.map(function(t){return t.id});for(var r=0;r<this.stylesheet.layers.length;r++)e=this.stylesheet.layers[r],e.ref||(t=a.create(e),this._layers[t.id]=t,t.on(\"error\",this._forwardLayerEvent));for(var n=0;n<this.stylesheet.layers.length;n++)if(e=this.stylesheet.layers[n],e.ref){var i=this.getLayer(e.ref);t=a.create(e,i),this._layers[t.id]=t,t.on(\"error\",this._forwardLayerEvent)}this._groupLayers(),this._updateWorkerLayers()},_groupLayers:function(){var t;this._groups=[];for(var e=0;e<this._order.length;++e){var r=this._layers[this._order[e]];t&&r.source===t.source||(t=[],t.source=r.source,this._groups.push(t)),t.push(r)}},_updateWorkerLayers:function(t){this.dispatcher.broadcast(t?\"update layers\":\"set layers\",this._serializeLayers(t))},_serializeLayers:function(t){t=t||this._order;for(var e=[],r={includeRefProperties:!0},n=0;n<t.length;n++)e.push(this._layers[t[n]].serialize(r));return e},_applyClasses:function(t,e){if(this._loaded){t=t||[],e=e||{transition:!0};var r=this.stylesheet.transition||{},n=this._updates.allPaintProps?this._layers:this._updates.paintProps;for(var i in n){var a=this._layers[i],o=this._updates.paintProps[i];if(this._updates.allPaintProps||o.all)a.updatePaintTransitions(t,e,r,this.animationLoop);else for(var s in o)this._layers[i].updatePaintTransition(s,t,e,r,this.animationLoop)}}},_recalculate:function(t){for(var e in this.sources)this.sources[e].used=!1;this._updateZoomHistory(t),this.rasterFadeDuration=300;for(var r in this._layers){var n=this._layers[r];n.recalculate(t,this.zoomHistory),!n.isHidden(t)&&n.source&&(this.sources[n.source].used=!0)}Math.floor(this.z)!==Math.floor(t)&&this.animationLoop.set(300),this.z=t,this.fire(\"zoom\")},_updateZoomHistory:function(t){var e=this.zoomHistory;void 0===e.lastIntegerZoom&&(e.lastIntegerZoom=Math.floor(t),e.lastIntegerZoomTime=0,e.lastZoom=t),Math.floor(e.lastZoom)<Math.floor(t)?(e.lastIntegerZoom=Math.floor(t),e.lastIntegerZoomTime=Date.now()):Math.floor(e.lastZoom)>Math.floor(t)&&(e.lastIntegerZoom=Math.floor(t+1),e.lastIntegerZoomTime=Date.now()),e.lastZoom=t},_checkLoaded:function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},update:function(t,e){if(!this._updates.changed)return this;if(this._updates.allLayers)this._groupLayers(),this._updateWorkerLayers();else{var r=Object.keys(this._updates.layers);r.length&&this._updateWorkerLayers(r)}var n,i=Object.keys(this._updates.sources);for(n=0;n<i.length;n++)this._reloadSource(i[n]);for(n=0;n<this._updates.events.length;n++){var a=this._updates.events[n];this.fire(a[0],a[1])}return this._applyClasses(t,e),this._updates.changed&&this.fire(\"change\"),this._resetUpdates(),this},_resetUpdates:function(){this._updates={events:[],layers:{},sources:{},paintProps:{}}},addSource:function(t,e){if(this._checkLoaded(),void 0!==this.sources[t])throw new Error(\"There is already a source with this ID\");if(!e.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(e)+\".\");return[\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(e.type)>=0&&this._handleErrors(v.source,\"sources.\"+t,e)?this:(e=new b(t,e,this.dispatcher),this.sources[t]=e,e.style=this,e.on(\"load\",this._forwardSourceEvent).on(\"error\",this._forwardSourceEvent).on(\"change\",this._forwardSourceEvent).on(\"tile.add\",this._forwardTileEvent).on(\"tile.load\",this._forwardTileEvent).on(\"tile.error\",this._forwardTileEvent).on(\"tile.remove\",this._forwardTileEvent).on(\"tile.stats\",this._forwardTileEvent),this._updates.events.push([\"source.add\",{source:e}]),this._updates.changed=!0,this)},removeSource:function(t){if(this._checkLoaded(),void 0===this.sources[t])throw new Error(\"There is no source with this ID\");var e=this.sources[t];return delete this.sources[t],delete this._updates.sources[t],e.off(\"load\",this._forwardSourceEvent).off(\"error\",this._forwardSourceEvent).off(\"change\",this._forwardSourceEvent).off(\"tile.add\",this._forwardTileEvent).off(\"tile.load\",this._forwardTileEvent).off(\"tile.error\",this._forwardTileEvent).off(\"tile.remove\",this._forwardTileEvent).off(\"tile.stats\",this._forwardTileEvent),this._updates.events.push([\"source.remove\",{source:e}]),this._updates.changed=!0,this},getSource:function(t){return this.sources[t]&&this.sources[t].getSource()},addLayer:function(t,e){if(this._checkLoaded(),!(t instanceof a)){if(this._handleErrors(v.layer,\"layers.\"+t.id,t,!1,{arrayIndex:-1}))return this;var r=t.ref&&this.getLayer(t.ref);t=a.create(t,r)}return this._validateLayer(t),t.on(\"error\",this._forwardLayerEvent),this._layers[t.id]=t,this._order.splice(e?this._order.indexOf(e):1/0,0,t.id),this._updates.allLayers=!0,t.source&&(this._updates.sources[t.source]=!0),this._updates.events.push([\"layer.add\",{layer:t}]),this.updateClasses(t.id)},removeLayer:function(t){this._checkLoaded();var e=this._layers[t];if(void 0===e)throw new Error(\"There is no layer with this ID\");for(var r in this._layers)this._layers[r].ref===t&&this.removeLayer(r);return e.off(\"error\",this._forwardLayerEvent),delete this._layers[t],delete this._updates.layers[t],delete this._updates.paintProps[t],this._order.splice(this._order.indexOf(t),1),this._updates.allLayers=!0,this._updates.events.push([\"layer.remove\",{layer:e}]),this._updates.changed=!0,this},getLayer:function(t){return this._layers[t]},getReferentLayer:function(t){var e=this.getLayer(t);return e.ref&&(e=this.getLayer(e.ref)),e},setLayerZoomRange:function(t,e,r){this._checkLoaded();var n=this.getReferentLayer(t);return n.minzoom===e&&n.maxzoom===r?this:(null!=e&&(n.minzoom=e),null!=r&&(n.maxzoom=r),this._updateLayer(n))},setFilter:function(t,e){this._checkLoaded();var r=this.getReferentLayer(t);return null!==e&&this._handleErrors(v.filter,\"layers.\"+r.id+\".filter\",e)?this:c.deepEqual(r.filter,e)?this:(r.filter=c.clone(e),this._updateLayer(r))},getFilter:function(t){return this.getReferentLayer(t).filter},setLayoutProperty:function(t,e,r){this._checkLoaded();var n=this.getReferentLayer(t);return c.deepEqual(n.getLayoutProperty(e),r)?this:(n.setLayoutProperty(e,r),this._updateLayer(n))},getLayoutProperty:function(t,e){return this.getReferentLayer(t).getLayoutProperty(e)},setPaintProperty:function(t,e,r,n){this._checkLoaded();var i=this.getLayer(t);if(c.deepEqual(i.getPaintProperty(e,n),r))return this;var a=i.isPaintValueFeatureConstant(e);return i.setPaintProperty(e,r,n),!(r&&_.isFunctionDefinition(r)&&\"$zoom\"!==r.property&&void 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this._updates.layers[t.id]=!0,t.source&&(this._updates.sources[t.source]=!0),this._updates.changed=!0,this},_flattenRenderedFeatures:function(t){for(var e=[],r=this._order.length-1;r>=0;r--)for(var n=this._order[r],i=0;i<t.length;i++){var a=t[i][n];if(a)for(var o=0;o<a.length;o++)e.push(a[o])}return e},queryRenderedFeatures:function(t,e,r,n){\n",
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r=\"color\"===t.type&&this.value?o(this.value):e;if(this.calculate=a[t.function||\"piecewise-constant\"](r),this.isFeatureConstant=this.calculate.isFeatureConstant,this.isZoomConstant=this.calculate.isZoomConstant,\"piecewise-constant\"===t.function&&t.transition&&(this.calculate=i(this.calculate)),!this.isFeatureConstant&&!this.isZoomConstant){this.stopZoomLevels=[];for(var n=[],l=this.value.stops,u=0;u<this.value.stops.length;u++){var c=l[u][0].zoom;this.stopZoomLevels.indexOf(c)<0&&(this.stopZoomLevels.push(c),n.push([c,n.length]))}this.calculateInterpolationT=a.interpolated({stops:n,base:e.base})}}function i(t){return function(e,r){var n,i,a,o=e.zoom,s=e.zoomHistory,l=e.duration,u=o%1,c=Math.min((Date.now()-s.lastIntegerZoomTime)/l,1),h=1;return o>s.lastIntegerZoom?(n=u+(1-u)*c,h*=2,i=t({zoom:o-1},r),a=t({zoom:o},r)):(n=1-(1-c)*u,a=t({zoom:o},r),i=t({zoom:o+1},r),h/=2),void 0===i||void 0===a?void 0:{from:i,fromScale:h,to:a,toScale:1,t:n}}}var a=t(\"./style_function\"),o=t(\"./parse_color\"),s=t(\"../util/util\");e.exports=n},{\"../util/util\":442,\"./parse_color\":377,\"./style_function\":380}],380:[function(t,e,r){\"use strict\";var n=t(\"mapbox-gl-function\");r.interpolated=function(t){var e=n.interpolated(t),r=function(t,r){return e(t&&t.zoom,r||{})};return r.isFeatureConstant=e.isFeatureConstant,r.isZoomConstant=e.isZoomConstant,r},r[\"piecewise-constant\"]=function(t){var e=n[\"piecewise-constant\"](t),r=function(t,r){return e(t&&t.zoom,r||{})};return r.isFeatureConstant=e.isFeatureConstant,r.isZoomConstant=e.isZoomConstant,r},r.isFunctionDefinition=n.isFunctionDefinition},{\"mapbox-gl-function\":302}],381:[function(t,e,r){\"use strict\";function n(t,e){this.set(t,e)}function i(t){return t.value}var a=t(\"../util/util\"),o=t(\"./style_transition\"),s=t(\"./style_declaration\"),l=t(\"./style_spec\"),u=t(\"./validate_style\"),c=t(\"./parse_color\"),h=t(\"../util/evented\");e.exports=n;n.create=function(e,r){return new({background:t(\"./style_layer/background_style_layer\"),circle:t(\"./style_layer/circle_style_layer\"),fill:t(\"./style_layer/fill_style_layer\"),line:t(\"./style_layer/line_style_layer\"),raster:t(\"./style_layer/raster_style_layer\"),symbol:t(\"./style_layer/symbol_style_layer\")}[(r||e).type])(e,r)},n.prototype=a.inherit(h,{set:function(t,e){this.id=t.id,this.ref=t.ref,this.metadata=t.metadata,this.type=(e||t).type,this.source=(e||t).source,this.sourceLayer=(e||t)[\"source-layer\"],this.minzoom=(e||t).minzoom,this.maxzoom=(e||t).maxzoom,this.filter=(e||t).filter,this.paint={},this.layout={},this._paintSpecifications=l[\"paint_\"+this.type],this._layoutSpecifications=l[\"layout_\"+this.type],this._paintTransitions={},this._paintTransitionOptions={},this._paintDeclarations={},this._layoutDeclarations={},this._layoutFunctions={};var r,n;for(var i in t){var a=i.match(/^paint(?:\\.(.*))?$/);if(a){var o=a[1]||\"\";for(r in t[i])this.setPaintProperty(r,t[i][r],o)}}if(this.ref)this._layoutDeclarations=e._layoutDeclarations;else for(n in t.layout)this.setLayoutProperty(n,t.layout[n]);for(r in this._paintSpecifications)this.paint[r]=this.getPaintValue(r);for(n in this._layoutSpecifications)this._updateLayoutValue(n)},setLayoutProperty:function(t,e){if(null==e)delete this._layoutDeclarations[t];else{var r=\"layers.\"+this.id+\".layout.\"+t;if(this._handleErrors(u.layoutProperty,r,t,e))return;this._layoutDeclarations[t]=new s(this._layoutSpecifications[t],e)}this._updateLayoutValue(t)},getLayoutProperty:function(t){return this._layoutDeclarations[t]&&this._layoutDeclarations[t].value},getLayoutValue:function(t,e,r){var n=this._layoutSpecifications[t],i=this._layoutDeclarations[t];return i?i.calculate(e,r):n.default},setPaintProperty:function(t,e,r){var n=\"layers.\"+this.id+(r?'[\"paint.'+r+'\"].':\".paint.\")+t;if(a.endsWith(t,\"-transition\"))if(this._paintTransitionOptions[r||\"\"]||(this._paintTransitionOptions[r||\"\"]={}),null===e||void 0===e)delete this._paintTransitionOptions[r||\"\"][t];else{if(this._handleErrors(u.paintProperty,n,t,e))return;this._paintTransitionOptions[r||\"\"][t]=e}else if(this._paintDeclarations[r||\"\"]||(this._paintDeclarations[r||\"\"]={}),null===e||void 0===e)delete this._paintDeclarations[r||\"\"][t];else{if(this._handleErrors(u.paintProperty,n,t,e))return;this._paintDeclarations[r||\"\"][t]=new s(this._paintSpecifications[t],e)}},getPaintProperty:function(t,e){return e=e||\"\",a.endsWith(t,\"-transition\")?this._paintTransitionOptions[e]&&this._paintTransitionOptions[e][t]:this._paintDeclarations[e]&&this._paintDeclarations[e][t]&&this._paintDeclarations[e][t].value},getPaintValue:function(t,e,r){var n=this._paintSpecifications[t],i=this._paintTransitions[t];return 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this._paintDeclarations){e[\"\"===r?\"paint\":\"paint.\"+r]=a.mapObject(this._paintDeclarations[r],i)}return(!this.ref||t&&t.includeRefProperties)&&a.extend(e,{type:this.type,source:this.source,\"source-layer\":this.sourceLayer,filter:this.filter,layout:a.mapObject(this._layoutDeclarations,i)}),a.filterObject(e,function(t,e){return void 0!==t&&!(\"layout\"===e&&!Object.keys(t).length)})},_applyPaintDeclaration:function(t,e,r,n,i){var l=r.transition?this._paintTransitions[t]:void 0,u=this._paintSpecifications[t];if(null!==e&&void 0!==e||(e=new s(u,u.default)),!l||l.declaration.json!==e.json){var c=a.extend({duration:300,delay:0},n,this.getPaintProperty(t+\"-transition\")),h=this._paintTransitions[t]=new o(u,e,l,c);h.instant()||(h.loopID=i.set(h.endTime-Date.now())),l&&i.cancel(l.loopID)}},_updateLayoutValue:function(t){var e=this._layoutDeclarations[t];e&&e.isFunction?this._layoutFunctions[t]=!0:(delete this._layoutFunctions[t],this.layout[t]=this.getLayoutValue(t))},_handleErrors:function(t,e,r,n){return u.emitErrors(this,t.call(u,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:l,style:{glyphs:!0,sprite:!0}}))}})},{\"../util/evented\":434,\"../util/util\":442,\"./parse_color\":377,\"./style_declaration\":379,\"./style_layer/background_style_layer\":382,\"./style_layer/circle_style_layer\":383,\"./style_layer/fill_style_layer\":384,\"./style_layer/line_style_layer\":385,\"./style_layer/raster_style_layer\":386,\"./style_layer/symbol_style_layer\":387,\"./style_spec\":388,\"./style_transition\":389,\"./validate_style\":390}],382:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{})},{\"../../util/util\":442,\"../style_layer\":381}],383:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{})},{\"../../util/util\":442,\"../style_layer\":381}],384:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");n.prototype=i.inherit(a,{getPaintValue:function(t,e,r){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.getPaintValue.call(this,\"fill-color\",e,r):a.prototype.getPaintValue.call(this,t,e,r)},getPaintValueStopZoomLevels:function(t){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.getPaintValueStopZoomLevels.call(this,\"fill-color\"):a.prototype.getPaintValueStopZoomLevels.call(this,arguments)},getPaintInterpolationT:function(t,e){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.getPaintInterpolationT.call(this,\"fill-color\",e):a.prototype.getPaintInterpolationT.call(this,t,e)},isPaintValueFeatureConstant:function(t){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.isPaintValueFeatureConstant.call(this,\"fill-color\"):a.prototype.isPaintValueFeatureConstant.call(this,t)},isPaintValueZoomConstant:function(t){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.isPaintValueZoomConstant.call(this,\"fill-color\"):a.prototype.isPaintValueZoomConstant.call(this,t)}}),e.exports=n},{\"../../util/util\":442,\"../style_layer\":381}],385:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{getPaintValue:function(t,e,r){var n=a.prototype.getPaintValue.apply(this,arguments);if(n&&\"line-dasharray\"===t){var i=Math.floor(e.zoom);this._flooredZoom!==i&&(this._flooredZoom=i,this._flooredLineWidth=this.getPaintValue(\"line-width\",e,r)),n.fromScale*=this._flooredLineWidth,n.toScale*=this._flooredLineWidth}return n}})},{\"../../util/util\":442,\"../style_layer\":381}],386:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{})},{\"../../util/util\":442,\"../style_layer\":381}],387:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{isHidden:function(){if(a.prototype.isHidden.apply(this,arguments))return!0;var t=0===this.paint[\"text-opacity\"]||!this.layout[\"text-field\"],e=0===this.paint[\"icon-opacity\"]||!this.layout[\"icon-image\"];return!(!t||!e)},getLayoutValue:function(t,e,r){return(\"text-rotation-alignment\"!==t||\"line\"!==this.getLayoutValue(\"symbol-placement\",e,r)||this.getLayoutProperty(\"text-rotation-alignment\"))&&(\"icon-rotation-alignment\"!==t||\"line\"!==this.getLayoutValue(\"symbol-placement\",e,r)||this.getLayoutProperty(\"icon-rotation-alignment\"))?\"text-pitch-alignment\"!==t||this.getLayoutProperty(\"text-pitch-alignment\")?a.prototype.getLayoutValue.apply(this,arguments):this.getLayoutValue(\"text-rotation-alignment\"):\"map\"}})},{\"../../util/util\":442,\"../style_layer\":381}],388:[function(t,e,r){\"use strict\";e.exports=t(\"mapbox-gl-style-spec/reference/latest.min\")},{\"mapbox-gl-style-spec/reference/latest.min\":325}],389:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.declaration=e,this.startTime=this.endTime=(new Date).getTime(),\"piecewise-constant\"===t.function&&t.transition?this.interp=i:this.interp=o[t.type],this.oldTransition=r,this.duration=n.duration||0,this.delay=n.delay||0,this.instant()||(this.endTime=this.startTime+this.duration+this.delay,this.ease=a.easeCubicInOut),r&&r.endTime<=this.startTime&&delete r.oldTransition}function i(t,e,r){return void 0===(t&&t.to)||void 0===(e&&e.to)?void 0:{from:t.to,fromScale:t.toScale,to:e.to,toScale:e.toScale,t:r}}var a=t(\"../util/util\"),o=t(\"../util/interpolate\");e.exports=n,n.prototype.instant=function(){return!this.oldTransition||!this.interp||0===this.duration&&0===this.delay},n.prototype.calculate=function(t,e){var r=this.declaration.calculate(a.extend({},t,{duration:this.duration}),e);if(this.instant())return r;var n=t.time||Date.now();if(n<this.endTime){var i=this.oldTransition.calculate(a.extend({},t,{time:this.startTime}),e),o=this.ease((n-this.startTime-this.delay)/this.duration);r=this.interp(i,r,o)}return r}},{\"../util/interpolate\":436,\"../util/util\":442}],390:[function(t,e,r){\"use strict\";e.exports=t(\"mapbox-gl-style-spec/lib/validate_style.min\"),e.exports.emitErrors=function(t,e){if(e&&e.length){for(var r=0;r<e.length;r++)t.fire(\"error\",{error:new Error(e[r].message)});return!0}return!1},e.exports.throwErrors=function(t,e){if(e)for(var r=0;r<e.length;r++)throw new Error(e[r].message)}},{\"mapbox-gl-style-spec/lib/validate_style.min\":324}],391:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.x=t,this.y=e,this.angle=r,void 0!==n&&(this.segment=n)}var i=t(\"point-geometry\");e.exports=n,n.prototype=Object.create(i.prototype),n.prototype.clone=function(){return new n(this.x,this.y,this.angle,this.segment)}},{\"point-geometry\":484}],392:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){if(void 0===e.segment)return!0;for(var a=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],u=0;s<r/2;){var c=t[o-1],h=t[o],f=t[o+1];if(!f)return!1;var d=c.angleTo(h)-h.angleTo(f);for(d=Math.abs((d+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:d}),u+=d;s-l[0].distance>n;)u-=l.shift().angleDelta;if(u>i)return!1;o++,s+=h.dist(f)}return!0}e.exports=n},{}],393:[function(t,e,r){\"use strict\";function n(t,e,r,n,a){for(var o=[],s=0;s<t.length;s++)for(var l,u=t[s],c=0;c<u.length-1;c++){var h=u[c],f=u[c+1];h.x<e&&f.x<e||(h.x<e?h=new i(e,h.y+(f.y-h.y)*((e-h.x)/(f.x-h.x)))._round():f.x<e&&(f=new i(e,h.y+(f.y-h.y)*((e-h.x)/(f.x-h.x)))._round()),h.y<r&&f.y<r||(h.y<r?h=new i(h.x+(f.x-h.x)*((r-h.y)/(f.y-h.y)),r)._round():f.y<r&&(f=new i(h.x+(f.x-h.x)*((r-h.y)/(f.y-h.y)),r)._round()),h.x>=n&&f.x>=n||(h.x>=n?h=new i(n,h.y+(f.y-h.y)*((n-h.x)/(f.x-h.x)))._round():f.x>=n&&(f=new i(n,h.y+(f.y-h.y)*((n-h.x)/(f.x-h.x)))._round()),h.y>=a&&f.y>=a||(h.y>=a?h=new i(h.x+(f.x-h.x)*((a-h.y)/(f.y-h.y)),a)._round():f.y>=a&&(f=new i(h.x+(f.x-h.x)*((a-h.y)/(f.y-h.y)),a)._round()),l&&h.equals(l[l.length-1])||(l=[h],o.push(l)),l.push(f)))))}return o}var i=t(\"point-geometry\");e.exports=n},{\"point-geometry\":484}],394:[function(t,e,r){\"use strict\";var n=t(\"../util/struct_array\"),i=t(\"../util/util\"),a=t(\"point-geometry\"),o=e.exports=new n({members:[{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Int16\",name:\"x1\"},{type:\"Int16\",name:\"y1\"},{type:\"Int16\",name:\"x2\"},{type:\"Int16\",name:\"y2\"},{type:\"Float32\",name:\"maxScale\"},{type:\"Uint32\",name:\"featureIndex\"},{type:\"Uint16\",name:\"sourceLayerIndex\"},{type:\"Uint16\",name:\"bucketIndex\"},{type:\"Int16\",name:\"bbox0\"},{type:\"Int16\",name:\"bbox1\"},{type:\"Int16\",name:\"bbox2\"},{type:\"Int16\",name:\"bbox3\"},{type:\"Float32\",name:\"placementScale\"}]});i.extendAll(o.prototype.StructType.prototype,{get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)}})},{\"../util/struct_array\":440,\"../util/util\":442,\"point-geometry\":484}],395:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l,u,c){var h=o.top*s-l,f=o.bottom*s+l,d=o.left*s-l,p=o.right*s+l;if(this.boxStartIndex=t.length,u){var m=f-h,v=p-d;if(m>0)if(m=Math.max(10*s,m),c){var g=e[r.segment+1].sub(e[r.segment])._unit()._mult(v),y=[r.sub(g),r.add(g)];this._addLineCollisionBoxes(t,y,r,0,v,m,n,i,a)}else this._addLineCollisionBoxes(t,e,r,r.segment,v,m,n,i,a)}else t.emplaceBack(r.x,r.y,d,h,p,f,1/0,n,i,a,0,0,0,0,0);this.boxEndIndex=t.length}e.exports=n,n.prototype._addLineCollisionBoxes=function(t,e,r,n,i,a,o,s,l){var u=a/2,c=Math.floor(i/u),h=-a/2,f=this.boxes,d=r,p=n+1,m=h;do{if(--p<0)return f;m-=e[p].dist(d),d=e[p]}while(m>-i/2);for(var v=e[p].dist(e[p+1]),g=0;g<c;g++){for(var y=-i/2+g*u;m+v<y;){if(m+=v,++p+1>=e.length)return f;v=e[p].dist(e[p+1])}var b=y-m,x=e[p],_=e[p+1],w=_.sub(x)._unit()._mult(b)._add(x)._round(),M=Math.max(Math.abs(y-h)-u/2,0),k=i/2/M;t.emplaceBack(w.x,w.y,-a/2,-a/2,a/2,a/2,k,o,s,l,0,0,0,0,0)}return f}},{}],396:[function(t,e,r){\"use strict\";function n(t,e,r){if(\"object\"==typeof t){var n=t;r=e,t=n.angle,e=n.pitch,this.grid=new o(n.grid),this.ignoredGrid=new o(n.ignoredGrid)}else this.grid=new o(a,12,6),this.ignoredGrid=new o(a,12,0);this.angle=t,this.pitch=e;var i=Math.sin(t),s=Math.cos(t);if(this.rotationMatrix=[s,-i,i,s],this.reverseRotationMatrix=[s,i,-i,s],this.yStretch=1/Math.cos(e/180*Math.PI),this.yStretch=Math.pow(this.yStretch,1.3),this.collisionBoxArray=r,0===r.length){r.emplaceBack();r.emplaceBack(0,0,0,-32767,0,32767,32767,0,0,0,0,0,0,0,0,0),r.emplaceBack(a,0,0,-32767,0,32767,32767,0,0,0,0,0,0,0,0,0),r.emplaceBack(0,0,-32767,0,32767,0,32767,0,0,0,0,0,0,0,0,0),r.emplaceBack(0,a,-32767,0,32767,0,32767,0,0,0,0,0,0,0,0,0)}this.tempCollisionBox=r.get(0),this.edges=[r.get(1),r.get(2),r.get(3),r.get(4)]}var i=t(\"point-geometry\"),a=t(\"../data/bucket\").EXTENT,o=t(\"grid-index\");e.exports=n,n.prototype.serialize=function(){var t={angle:this.angle,pitch:this.pitch,grid:this.grid.toArrayBuffer(),ignoredGrid:this.ignoredGrid.toArrayBuffer()};return{data:t,transferables:[t.grid,t.ignoredGrid]}},n.prototype.minScale=.25,n.prototype.maxScale=2,n.prototype.placeCollisionFeature=function(t,e,r){for(var n=this.collisionBoxArray,a=this.minScale,o=this.rotationMatrix,s=this.yStretch,l=t.boxStartIndex;l<t.boxEndIndex;l++){var u=n.get(l),c=u.anchorPoint._matMult(o),h=c.x,f=c.y,d=h+u.x1,p=f+u.y1*s,m=h+u.x2,v=f+u.y2*s;if(u.bbox0=d,u.bbox1=p,u.bbox2=m,u.bbox3=v,!e)for(var g=this.grid.query(d,p,m,v),y=0;y<g.length;y++){var b=n.get(g[y]),x=b.anchorPoint._matMult(o);if((a=this.getPlacementScale(a,c,u,x,b))>=this.maxScale)return a}if(r){var _;if(this.angle){var w=this.reverseRotationMatrix,M=new i(u.x1,u.y1).matMult(w),k=new i(u.x2,u.y1).matMult(w),A=new i(u.x1,u.y2).matMult(w),T=new i(u.x2,u.y2).matMult(w);_=this.tempCollisionBox,_.anchorPointX=u.anchorPoint.x,_.anchorPointY=u.anchorPoint.y,_.x1=Math.min(M.x,k.x,A.x,T.x),_.y1=Math.min(M.y,k.x,A.x,T.x),_.x2=Math.max(M.x,k.x,A.x,T.x),_.y2=Math.max(M.y,k.x,A.x,T.x),_.maxScale=u.maxScale}else _=u;for(var S=0;S<this.edges.length;S++){var E=this.edges[S];if((a=this.getPlacementScale(a,u.anchorPoint,_,E.anchorPoint,E))>=this.maxScale)return a}}}return a},n.prototype.queryRenderedSymbols=function(t,e,r,n,a){var o={},s=[],l=this.collisionBoxArray,u=this.rotationMatrix,c=new i(t,e)._matMult(u),h=this.tempCollisionBox;h.anchorX=c.x,h.anchorY=c.y,h.x1=0,h.y1=0,h.x2=r-t,h.y2=n-e,h.maxScale=a,a=h.maxScale;for(var f=[c.x+h.x1/a,c.y+h.y1/a*this.yStretch,c.x+h.x2/a,c.y+h.y2/a*this.yStretch],d=this.grid.query(f[0],f[1],f[2],f[3]),p=this.ignoredGrid.query(f[0],f[1],f[2],f[3]),m=0;m<p.length;m++)d.push(p[m]);for(var v=0;v<d.length;v++){var g=l.get(d[v]),y=g.sourceLayerIndex,b=g.featureIndex;if(void 0===o[y]&&(o[y]={}),!o[y][b]){var x=g.anchorPoint.matMult(u);this.getPlacementScale(this.minScale,c,h,x,g)>=a&&(o[y][b]=!0,s.push(d[v]))}}return s},n.prototype.getPlacementScale=function(t,e,r,n,i){var a=e.x-n.x,o=e.y-n.y,s=(i.x1-r.x2)/a,l=(i.x2-r.x1)/a,u=(i.y1-r.y2)*this.yStretch/o,c=(i.y2-r.y1)*this.yStretch/o;(isNaN(s)||isNaN(l))&&(s=l=1),(isNaN(u)||isNaN(c))&&(u=c=1);var h=Math.min(Math.max(s,l),Math.max(u,c)),f=i.maxScale,d=r.maxScale;return h>f&&(h=f),h>d&&(h=d),h>t&&h>=i.placementScale&&(t=h),t},n.prototype.insertCollisionFeature=function(t,e,r){for(var n=r?this.ignoredGrid:this.grid,i=this.collisionBoxArray,a=t.boxStartIndex;a<t.boxEndIndex;a++){var o=i.get(a);o.placementScale=e,e<this.maxScale&&n.insert(a,o.bbox0,o.bbox1,o.bbox2,o.bbox3)}}},{\"../data/bucket\":329,\"grid-index\":287,\"point-geometry\":484}],397:[function(t,e,r){\"use strict\";function n(t,e,r,n,a,o,s,l,u){var c=n?.6*o*s:0,h=Math.max(n?n.right-n.left:0,a?a.right-a.left:0),f=0===t[0].x||t[0].x===u||0===t[0].y||t[0].y===u;e-h*s<e/4&&(e=h*s+e/4);var d=2*o;return i(t,f?e/2*l%e:(h/2+d)*s*l%e,e,c,r,h*s,f,!1,u)}function i(t,e,r,n,l,u,c,h,f){for(var d=u/2,p=0,m=0;m<t.length-1;m++)p+=t[m].dist(t[m+1]);for(var v=0,g=e-r,y=[],b=0;b<t.length-1;b++){for(var x=t[b],_=t[b+1],w=x.dist(_),M=_.angleTo(x);g+r<v+w;){g+=r;var k=(g-v)/w,A=a(x.x,_.x,k),T=a(x.y,_.y,k);if(A>=0&&A<f&&T>=0&&T<f&&g-d>=0&&g+d<=p){var S=new o(A,T,M,b)._round();n&&!s(t,S,u,n,l)||y.push(S)}}v+=w}return h||y.length||c||(y=i(t,v/2,r,n,l,u,c,!0,f)),y}var a=t(\"../util/interpolate\"),o=t(\"../symbol/anchor\"),s=t(\"./check_max_angle\");e.exports=n},{\"../symbol/anchor\":391,\"../util/interpolate\":436,\"./check_max_angle\":392}],398:[function(t,e,r){\"use strict\";function n(){this.width=o,this.height=o,this.bin=new i(this.width,this.height),this.index={},this.ids={},this.data=new Uint8Array(this.width*this.height)}var i=t(\"shelf-pack\"),a=t(\"../util/util\"),o=128;e.exports=n,n.prototype.getGlyphs=function(){var t,e,r,n={};for(var i in this.ids)t=i.split(\"#\"),e=t[0],r=t[1],n[e]||(n[e]=[]),n[e].push(r);return n},n.prototype.getRects=function(){var t,e,r,n={};for(var i in this.ids)t=i.split(\"#\"),e=t[0],r=t[1],n[e]||(n[e]={}),n[e][r]=this.index[i];return n},n.prototype.addGlyph=function(t,e,r,n){if(!r)return null;var i=e+\"#\"+r.id;if(this.index[i])return this.ids[i].indexOf(t)<0&&this.ids[i].push(t),this.index[i];if(!r.bitmap)return null;var o=r.width+2*n,s=r.height+2*n,l=o+2,u=s+2;l+=4-l%4,u+=4-u%4;var c=this.bin.packOne(l,u);if(c||(this.resize(),c=this.bin.packOne(l,u)),!c)return a.warnOnce(\"glyph bitmap overflow\"),null;this.index[i]=c,this.ids[i]=[t];for(var h=this.data,f=r.bitmap,d=0;d<s;d++)for(var p=this.width*(c.y+d+1)+c.x+1,m=o*d,v=0;v<o;v++)h[p+v]=f[m+v];return this.dirty=!0,c},n.prototype.resize=function(){var t=this.width,e=this.height;if(!(t>=2048||e>=2048)){this.texture&&(this.gl&&this.gl.deleteTexture(this.texture),this.texture=null),this.width*=4,this.height*=4,this.bin.resize(this.width,this.height);for(var r=new ArrayBuffer(this.width*this.height),n=0;n<e;n++){var i=new Uint8Array(this.data.buffer,e*n,t);new Uint8Array(r,e*n*4,t).set(i)}this.data=new Uint8Array(r)}},n.prototype.bind=function(t){this.gl=t,this.texture?t.bindTexture(t.TEXTURE_2D,this.texture):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.LINEAR),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),t.texImage2D(t.TEXTURE_2D,0,t.ALPHA,this.width,this.height,0,t.ALPHA,t.UNSIGNED_BYTE,null))},n.prototype.updateTexture=function(t){this.bind(t),this.dirty&&(t.texSubImage2D(t.TEXTURE_2D,0,0,0,this.width,this.height,t.ALPHA,t.UNSIGNED_BYTE,this.data),this.dirty=!1)}},{\"../util/util\":442,\"shelf-pack\":514}],399:[function(t,e,r){\"use strict\";function n(t){this.url=t&&o(t),this.atlases={},this.stacks={},this.loading={}}function i(t,e,r){this.advance=t.advance,this.left=t.left-r-1,this.top=t.top+r+1,this.rect=e}function a(t,e,r,n){return n=n||\"abc\",r.replace(\"{s}\",n[t.length%n.length]).replace(\"{fontstack}\",t).replace(\"{range}\",e)}var o=t(\"../util/mapbox\").normalizeGlyphsURL,s=t(\"../util/ajax\").getArrayBuffer,l=t(\"../util/glyphs\"),u=t(\"../symbol/glyph_atlas\"),c=t(\"pbf\");e.exports=n,n.prototype.getSimpleGlyphs=function(t,e,r,n){void 0===this.stacks[t]&&(this.stacks[t]={}),void 0===this.atlases[t]&&(this.atlases[t]=new u);for(var a,o={},s=this.stacks[t],l=this.atlases[t],c={},h=0,f=0;f<e.length;f++){var d=e[f];if(a=Math.floor(d/256),s[a]){var p=s[a].glyphs[d],m=l.addGlyph(r,t,p,3);p&&(o[d]=new i(p,m,3))}else void 0===c[a]&&(c[a]=[],h++),c[a].push(d)}h||n(void 0,o,t);var v=function(e,a,s){if(!e)for(var u=this.stacks[t][a]=s.stacks[0],f=0;f<c[a].length;f++){var d=c[a][f],p=u.glyphs[d],m=l.addGlyph(r,t,p,3);p&&(o[d]=new i(p,m,3))}--h||n(void 0,o,t)}.bind(this);for(var g in c)this.loadRange(t,g,v)},n.prototype.loadRange=function(t,e,r){if(256*e>65535)return r(\"glyphs > 65535 not supported\");void 0===this.loading[t]&&(this.loading[t]={});var n=this.loading[t];if(n[e])n[e].push(r);else{n[e]=[r];var i=256*e+\"-\"+(256*e+255),o=a(t,i,this.url);s(o,function(t,r){for(var i=!t&&new l(new c(new Uint8Array(r))),a=0;a<n[e].length;a++)n[e][a](t,e,i);delete n[e]})}},n.prototype.getGlyphAtlas=function(t){return this.atlases[t]}},{\"../symbol/glyph_atlas\":398,\"../util/ajax\":425,\"../util/glyphs\":435,\"../util/mapbox\":439,pbf:478}],400:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){function n(n){c.push(t[n]),h.push(r[n]),f.push(e[n]),d++}function i(t,e,r){var n=u[t];return delete u[t],u[e]=n,h[n][0].pop(),h[n][0]=h[n][0].concat(r[0]),n}function a(t,e,r){var n=l[e];return delete l[e],l[t]=n,h[n][0].shift(),h[n][0]=r[0].concat(h[n][0]),n}function o(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}var s,l={},u={},c=[],h=[],f=[],d=0;for(s=0;s<t.length;s++){var p=r[s],m=e[s];if(m){var v=o(m,p),g=o(m,p,!0);if(v in u&&g in l&&u[v]!==l[g]){var y=a(v,g,p),b=i(v,g,h[y]);delete l[v],delete u[g],u[o(m,h[b],!0)]=b,h[y]=null}else v in u?i(v,g,p):g in l?a(v,g,p):(n(s),l[v]=d-1,u[g]=d-1)}else n(s)}return{features:c,textFeatures:f,geometries:h}}},{}],401:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l,u){this.anchorPoint=t,this.tl=e,this.tr=r,this.bl=n,this.br=i,this.tex=a,this.anchorAngle=o,this.glyphAngle=s,this.minScale=l,this.maxScale=u}function i(t,e,r,i,a,o,u,c,h){var f,d,p,m,v=e.image.rect,g=a.layout,y=e.left-1,b=y+v.w/e.image.pixelRatio,x=e.top-1,_=x+v.h/e.image.pixelRatio;if(\"none\"!==g[\"icon-text-fit\"]&&u){var w=b-y,M=_-x,k=g[\"text-size\"]/24,A=u.left*k,T=u.right*k,S=u.top*k,E=u.bottom*k,L=T-A,C=E-S,I=g[\"icon-text-fit-padding\"][0],z=g[\"icon-text-fit-padding\"][1],D=g[\"icon-text-fit-padding\"][2],P=g[\"icon-text-fit-padding\"][3],O=\"width\"===g[\"icon-text-fit\"]?.5*(C-M):0,R=\"height\"===g[\"icon-text-fit\"]?.5*(L-w):0,F=\"width\"===g[\"icon-text-fit\"]||\"both\"===g[\"icon-text-fit\"]?L:w,j=\"height\"===g[\"icon-text-fit\"]||\"both\"===g[\"icon-text-fit\"]?C:M;f=new s(A+R-P,S+O-I),d=new s(A+R+z+F,S+O-I),p=new s(A+R+z+F,S+O+D+j),m=new s(A+R-P,S+O+D+j)}else f=new s(y,x),d=new s(b,x),p=new s(b,_),m=new s(y,_);var N=a.getLayoutValue(\"icon-rotate\",c,h)*Math.PI/180;if(o){var B=i[t.segment];if(t.y===B.y&&t.x===B.x&&t.segment+1<i.length){var U=i[t.segment+1];N+=Math.atan2(t.y-U.y,t.x-U.x)+Math.PI}else N+=Math.atan2(t.y-B.y,t.x-B.x)}if(N){var V=Math.sin(N),H=Math.cos(N),q=[H,-V,V,H];f=f.matMult(q),d=d.matMult(q),m=m.matMult(q),p=p.matMult(q)}return[new n(new s(t.x,t.y),f,d,m,p,e.image.rect,0,0,l,1/0)]}function a(t,e,r,i,a,u){for(var c=a.layout[\"text-rotate\"]*Math.PI/180,h=a.layout[\"text-keep-upright\"],f=e.positionedGlyphs,d=[],p=0;p<f.length;p++){var m=f[p],v=m.glyph,g=v.rect;if(g){var y,b=(m.x+v.advance/2)*r,x=l;u?(y=[],x=o(y,t,b,i,t.segment,!0),h&&(x=Math.min(x,o(y,t,b,i,t.segment,!1)))):y=[{anchorPoint:new s(t.x,t.y),offset:0,angle:0,maxScale:1/0,minScale:l}];for(var _=m.x+v.left,w=m.y-v.top,M=_+g.w,k=w+g.h,A=new s(_,w),T=new s(M,w),S=new s(_,k),E=new s(M,k),L=0;L<y.length;L++){var C=y[L],I=A,z=T,D=S,P=E;if(c){var O=Math.sin(c),R=Math.cos(c),F=[R,-O,O,R];I=I.matMult(F),z=z.matMult(F),D=D.matMult(F),P=P.matMult(F)}var j=Math.max(C.minScale,x),N=(t.angle+C.offset+2*Math.PI)%(2*Math.PI),B=(C.angle+C.offset+2*Math.PI)%(2*Math.PI);d.push(new n(C.anchorPoint,I,z,D,P,g,N,B,j,C.maxScale))}}}return d}function o(t,e,r,n,i,a){var o=!a;r<0&&(a=!a),a&&i++;var u=new s(e.x,e.y),c=n[i],h=1/0;r=Math.abs(r);for(var f=l;;){var d=u.dist(c),p=r/d,m=Math.atan2(c.y-u.y,c.x-u.x);if(a||(m+=Math.PI),t.push({anchorPoint:u,offset:o?Math.PI:0,minScale:p,maxScale:h,angle:(m+2*Math.PI)%(2*Math.PI)}),p<=f)break;for(u=c;u.equals(c);)if(i+=a?1:-1,!(c=n[i]))return p;var v=c.sub(u)._unit();u=u.sub(v._mult(d)),h=p}return f}var s=t(\"point-geometry\");e.exports={getIconQuads:i,getGlyphQuads:a,SymbolQuad:n};var l=.5},{\"point-geometry\":484}],402:[function(t,e,r){\"use strict\";function n(t,e,r){for(var n=[],a=0,o=t.length;a<o;a++){var s=i(t[a].properties,e[\"text-field\"]);if(s){s=s.toString();var l=e[\"text-transform\"];\"uppercase\"===l?s=s.toLocaleUpperCase():\"lowercase\"===l&&(s=s.toLocaleLowerCase());for(var u=0;u<s.length;u++)r[s.charCodeAt(u)]=!0;n[a]=s}else n[a]=null}return n}var i=t(\"../util/token\");e.exports=n},{\"../util/token\":441}],403:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.codePoint=t,this.x=e,this.y=r,this.glyph=n}function i(t,e,r,n,i,a){this.positionedGlyphs=t,this.text=e,this.top=r,this.bottom=n,this.left=i,this.right=a}function a(t,e,r,a,s,l,u,c,h){for(var f=[],d=new i(f,t,h[1],h[1],h[0],h[0]),p=0,m=0;m<t.length;m++){var v=t.charCodeAt(m),g=e[v];g&&(f.push(new n(v,p,-17,g)),p+=g.advance+c)}return!!f.length&&(o(d,e,a,r,s,l,u,h),d)}function o(t,e,r,n,i,a,o,u){var c=null,d=0,p=0,m=0,v=0,g=t.positionedGlyphs;if(n)for(var y=0;y<g.length;y++){var b=g[y];if(b.x-=d,b.y+=r*m,b.x>n&&null!==c){var x=g[c+1].x;v=Math.max(x,v);for(var _=c+1;_<=y;_++)g[_].y+=r,g[_].x-=x;if(o){var w=c;h[g[c].codePoint]&&w--,s(g,e,p,w,o)}p=c+1,c=null,d+=x,m++}f[b.codePoint]&&(c=y)}var M=g[g.length-1],k=M.x+e[M.codePoint].advance;v=Math.max(v,k);var A=(m+1)*r;s(g,e,p,g.length-1,o),l(g,o,i,a,v,r,m,u),t.top+=-a*A,t.bottom=t.top+A,t.left+=-i*v,t.right=t.left+v}function s(t,e,r,n,i){for(var a=e[t[n].codePoint].advance,o=(t[n].x+a)*i,s=r;s<=n;s++)t[s].x-=o}\n",
       "function l(t,e,r,n,i,a,o,s){for(var l=(e-r)*i+s[0],u=(-n*(o+1)+.5)*a+s[1],c=0;c<t.length;c++)t[c].x+=l,t[c].y+=u}function u(t,e){if(!t||!t.rect)return null;var r=e[\"icon-offset\"][0],n=e[\"icon-offset\"][1],i=r-t.width/2,a=i+t.width,o=n-t.height/2;return new c(t,o,o+t.height,i,a)}function c(t,e,r,n,i){this.image=t,this.top=e,this.bottom=r,this.left=n,this.right=i}e.exports={shapeText:a,shapeIcon:u};var h={32:!0,8203:!0},f={32:!0,38:!0,43:!0,45:!0,47:!0,173:!0,183:!0,8203:!0,8208:!0,8211:!0}},{}],404:[function(t,e,r){\"use strict\";function n(t,e){this.width=t,this.height=e,this.bin=new o(t,e),this.images={},this.data=!1,this.texture=0,this.filter=0,this.pixelRatio=1,this.dirty=!0}function i(t,e,r,n,i,a,o,s,l,u,c){var h,f,d=n*e+r,p=s*a+o;if(c)for(p-=a,f=-1;f<=u;f++,d=((f+u)%u+n)*e+r,p+=a)for(h=-1;h<=l;h++)i[p+h]=t[d+(h+l)%l];else for(f=0;f<u;f++,d+=e,p+=a)for(h=0;h<l;h++)i[p+h]=t[d+h]}function a(t,e,r,n,i){this.rect=t,this.width=e,this.height=r,this.sdf=n,this.pixelRatio=i}var o=t(\"shelf-pack\"),s=t(\"../util/browser\"),l=t(\"../util/util\");e.exports=n,n.prototype.allocateImage=function(t,e){t/=this.pixelRatio,e/=this.pixelRatio;var r=t+2+(4-(t+2)%4),n=e+2+(4-(e+2)%4),i=this.bin.packOne(r,n);return i||(l.warnOnce(\"SpriteAtlas out of space.\"),null)},n.prototype.getImage=function(t,e){if(this.images[t])return this.images[t];if(!this.sprite)return null;var r=this.sprite.getSpritePosition(t);if(!r.width||!r.height)return null;var n=this.allocateImage(r.width,r.height);if(!n)return null;var i=new a(n,r.width/r.pixelRatio,r.height/r.pixelRatio,r.sdf,r.pixelRatio/this.pixelRatio);return this.images[t]=i,this.copy(n,r,e),i},n.prototype.getPosition=function(t,e){var r=this.getImage(t,e),n=r&&r.rect;if(!n)return null;var i=r.width*r.pixelRatio,a=r.height*r.pixelRatio;return{size:[r.width,r.height],tl:[(n.x+1)/this.width,(n.y+1)/this.height],br:[(n.x+1+i)/this.width,(n.y+1+a)/this.height]}},n.prototype.allocate=function(){if(!this.data){var t=Math.floor(this.width*this.pixelRatio),e=Math.floor(this.height*this.pixelRatio);this.data=new Uint32Array(t*e);for(var r=0;r<this.data.length;r++)this.data[r]=0}},n.prototype.copy=function(t,e,r){if(this.sprite.img.data){var n=new Uint32Array(this.sprite.img.data.buffer);this.allocate();var a=this.data;i(n,this.sprite.img.width,e.x,e.y,a,this.width*this.pixelRatio,(t.x+1)*this.pixelRatio,(t.y+1)*this.pixelRatio,e.width,e.height,r),this.dirty=!0}},n.prototype.setSprite=function(t){t&&(this.pixelRatio=s.devicePixelRatio>1?2:1,this.canvas&&(this.canvas.width=this.width*this.pixelRatio,this.canvas.height=this.height*this.pixelRatio)),this.sprite=t},n.prototype.addIcons=function(t,e){for(var r=0;r<t.length;r++)this.getImage(t[r]);e(null,this.images)},n.prototype.bind=function(t,e){var r=!1;this.texture?t.bindTexture(t.TEXTURE_2D,this.texture):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),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),r=!0);var n=e?t.LINEAR:t.NEAREST;n!==this.filter&&(t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,n),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,n),this.filter=n),this.dirty&&(this.allocate(),r?t.texImage2D(t.TEXTURE_2D,0,t.RGBA,this.width*this.pixelRatio,this.height*this.pixelRatio,0,t.RGBA,t.UNSIGNED_BYTE,new Uint8Array(this.data.buffer)):t.texSubImage2D(t.TEXTURE_2D,0,0,0,this.width*this.pixelRatio,this.height*this.pixelRatio,t.RGBA,t.UNSIGNED_BYTE,new Uint8Array(this.data.buffer)),this.dirty=!1)}},{\"../util/browser\":426,\"../util/util\":442,\"shelf-pack\":514}],405:[function(t,e,r){\"use strict\";var n=t(\"../util/struct_array\"),i=t(\"../util/util\"),a=t(\"point-geometry\"),o=e.exports=new n({members:[{type:\"Uint16\",name:\"textBoxStartIndex\"},{type:\"Uint16\",name:\"textBoxEndIndex\"},{type:\"Uint16\",name:\"iconBoxStartIndex\"},{type:\"Uint16\",name:\"iconBoxEndIndex\"},{type:\"Uint16\",name:\"glyphQuadStartIndex\"},{type:\"Uint16\",name:\"glyphQuadEndIndex\"},{type:\"Uint16\",name:\"iconQuadStartIndex\"},{type:\"Uint16\",name:\"iconQuadEndIndex\"},{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Int8\",name:\"index\"}]});i.extendAll(o.prototype.StructType.prototype,{get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)}})},{\"../util/struct_array\":440,\"../util/util\":442,\"point-geometry\":484}],406:[function(t,e,r){\"use strict\";var n=t(\"../util/struct_array\"),i=t(\"../util/util\"),a=t(\"point-geometry\"),o=t(\"./quads\").SymbolQuad,s=e.exports=new n({members:[{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Float32\",name:\"tlX\"},{type:\"Float32\",name:\"tlY\"},{type:\"Float32\",name:\"trX\"},{type:\"Float32\",name:\"trY\"},{type:\"Float32\",name:\"blX\"},{type:\"Float32\",name:\"blY\"},{type:\"Float32\",name:\"brX\"},{type:\"Float32\",name:\"brY\"},{type:\"Int16\",name:\"texH\"},{type:\"Int16\",name:\"texW\"},{type:\"Int16\",name:\"texX\"},{type:\"Int16\",name:\"texY\"},{type:\"Float32\",name:\"anchorAngle\"},{type:\"Float32\",name:\"glyphAngle\"},{type:\"Float32\",name:\"maxScale\"},{type:\"Float32\",name:\"minScale\"}]});i.extendAll(s.prototype.StructType.prototype,{get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)},get SymbolQuad(){return new o(this.anchorPoint,new a(this.tlX,this.tlY),new a(this.trX,this.trY),new a(this.blX,this.blY),new a(this.brX,this.brY),{x:this.texX,y:this.texY,h:this.texH,w:this.texW,height:this.texH,width:this.texW},this.anchorAngle,this.glyphAngle,this.minScale,this.maxScale)}})},{\"../util/struct_array\":440,\"../util/util\":442,\"./quads\":401,\"point-geometry\":484}],407:[function(t,e,r){\"use strict\";var n=t(\"../util/dom\"),i=t(\"point-geometry\"),a={scrollZoom:t(\"./handler/scroll_zoom\"),boxZoom:t(\"./handler/box_zoom\"),dragRotate:t(\"./handler/drag_rotate\"),dragPan:t(\"./handler/drag_pan\"),keyboard:t(\"./handler/keyboard\"),doubleClickZoom:t(\"./handler/dblclick_zoom\"),touchZoomRotate:t(\"./handler/touch_zoom_rotate\")};e.exports=function(t,e){function r(t){g(\"mouseout\",t)}function o(e){t.stop(),_=n.mousePos(b,e),g(\"mousedown\",e)}function s(e){var r=t.dragRotate&&t.dragRotate.isActive();x&&!r&&g(\"contextmenu\",x),x=null,g(\"mouseup\",e)}function l(e){if(!(t.dragPan&&t.dragPan.isActive()||t.dragRotate&&t.dragRotate.isActive())){for(var r=e.toElement||e.target;r&&r!==b;)r=r.parentNode;r===b&&g(\"mousemove\",e)}}function u(e){t.stop(),y(\"touchstart\",e),!e.touches||e.touches.length>1||(w?(clearTimeout(w),w=null,g(\"dblclick\",e)):w=setTimeout(d,300))}function c(t){y(\"touchmove\",t)}function h(t){y(\"touchend\",t)}function f(t){y(\"touchcancel\",t)}function d(){w=null}function p(t){n.mousePos(b,t).equals(_)&&g(\"click\",t)}function m(t){g(\"dblclick\",t),t.preventDefault()}function v(t){x=t,t.preventDefault()}function g(e,r){var i=n.mousePos(b,r);return t.fire(e,{lngLat:t.unproject(i),point:i,originalEvent:r})}function y(e,r){var a=n.touchPos(b,r),o=a.reduce(function(t,e,r,n){return t.add(e.div(n.length))},new i(0,0));return t.fire(e,{lngLat:t.unproject(o),point:o,lngLats:a.map(function(e){return t.unproject(e)},this),points:a,originalEvent:r})}var b=t.getCanvasContainer(),x=null,_=null,w=null;for(var M in a)t[M]=new a[M](t,e),e.interactive&&e[M]&&t[M].enable();b.addEventListener(\"mouseout\",r,!1),b.addEventListener(\"mousedown\",o,!1),b.addEventListener(\"mouseup\",s,!1),b.addEventListener(\"mousemove\",l,!1),b.addEventListener(\"touchstart\",u,!1),b.addEventListener(\"touchend\",h,!1),b.addEventListener(\"touchmove\",c,!1),b.addEventListener(\"touchcancel\",f,!1),b.addEventListener(\"click\",p,!1),b.addEventListener(\"dblclick\",m,!1),b.addEventListener(\"contextmenu\",v,!1)}},{\"../util/dom\":428,\"./handler/box_zoom\":413,\"./handler/dblclick_zoom\":414,\"./handler/drag_pan\":415,\"./handler/drag_rotate\":416,\"./handler/keyboard\":417,\"./handler/scroll_zoom\":418,\"./handler/touch_zoom_rotate\":419,\"point-geometry\":484}],408:[function(t,e,r){\"use strict\";var n=t(\"../util/util\"),i=t(\"../util/interpolate\"),a=t(\"../util/browser\"),o=t(\"../geo/lng_lat\"),s=t(\"../geo/lng_lat_bounds\"),l=t(\"point-geometry\"),u=e.exports=function(){};n.extend(u.prototype,{getCenter:function(){return this.transform.center},setCenter:function(t,e){return this.jumpTo({center:t},e),this},panBy:function(t,e,r){return this.panTo(this.transform.center,n.extend({offset:l.convert(t).mult(-1)},e),r),this},panTo:function(t,e,r){return this.easeTo(n.extend({center:t},e),r)},getZoom:function(){return this.transform.zoom},setZoom:function(t,e){return this.jumpTo({zoom:t},e),this},zoomTo:function(t,e,r){return this.easeTo(n.extend({zoom:t},e),r)},zoomIn:function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},zoomOut:function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},getBearing:function(){return this.transform.bearing},setBearing:function(t,e){return this.jumpTo({bearing:t},e),this},rotateTo:function(t,e,r){return this.easeTo(n.extend({bearing:t},e),r)},resetNorth:function(t,e){return this.rotateTo(0,n.extend({duration:1e3},t),e),this},snapToNorth:function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},getPitch:function(){return this.transform.pitch},setPitch:function(t,e){return this.jumpTo({pitch:t},e),this},fitBounds:function(t,e,r){e=n.extend({padding:0,offset:[0,0],maxZoom:1/0},e),t=s.convert(t);var i=l.convert(e.offset),a=this.transform,o=a.project(t.getNorthWest()),u=a.project(t.getSouthEast()),c=u.sub(o),h=(a.width-2*e.padding-2*Math.abs(i.x))/c.x,f=(a.height-2*e.padding-2*Math.abs(i.y))/c.y;return e.center=a.unproject(o.add(u).div(2)),e.zoom=Math.min(a.scaleZoom(a.scale*Math.min(h,f)),e.maxZoom),e.bearing=0,e.linear?this.easeTo(e,r):this.flyTo(e,r)},jumpTo:function(t,e){this.stop();var r=this.transform,n=!1,i=!1,a=!1;return\"zoom\"in t&&r.zoom!==+t.zoom&&(n=!0,r.zoom=+t.zoom),\"center\"in t&&(r.center=o.convert(t.center)),\"bearing\"in t&&r.bearing!==+t.bearing&&(i=!0,r.bearing=+t.bearing),\"pitch\"in t&&r.pitch!==+t.pitch&&(a=!0,r.pitch=+t.pitch),this.fire(\"movestart\",e).fire(\"move\",e),n&&this.fire(\"zoomstart\",e).fire(\"zoom\",e).fire(\"zoomend\",e),i&&this.fire(\"rotate\",e),a&&this.fire(\"pitch\",e),this.fire(\"moveend\",e)},easeTo:function(t,e){this.stop(),t=n.extend({offset:[0,0],duration:500,easing:n.ease},t);var r,a,s=this.transform,u=l.convert(t.offset),c=this.getZoom(),h=this.getBearing(),f=this.getPitch(),d=\"zoom\"in t?+t.zoom:c,p=\"bearing\"in t?this._normalizeBearing(t.bearing,h):h,m=\"pitch\"in t?+t.pitch:f;\"center\"in t?(r=o.convert(t.center),a=s.centerPoint.add(u)):\"around\"in t?(r=o.convert(t.around),a=s.locationPoint(r)):(a=s.centerPoint.add(u),r=s.pointLocation(a));var v=s.locationPoint(r);return!1===t.animate&&(t.duration=0),this.zooming=d!==c,this.rotating=h!==p,this.pitching=m!==f,t.noMoveStart||this.fire(\"movestart\",e),this.zooming&&this.fire(\"zoomstart\",e),clearTimeout(this._onEaseEnd),this._ease(function(t){this.zooming&&(s.zoom=i(c,d,t)),this.rotating&&(s.bearing=i(h,p,t)),this.pitching&&(s.pitch=i(f,m,t)),s.setLocationAtPoint(r,v.add(a.sub(v)._mult(t))),this.fire(\"move\",e),this.zooming&&this.fire(\"zoom\",e),this.rotating&&this.fire(\"rotate\",e),this.pitching&&this.fire(\"pitch\",e)},function(){t.delayEndEvents?this._onEaseEnd=setTimeout(this._easeToEnd.bind(this,e),t.delayEndEvents):this._easeToEnd(e)}.bind(this),t),this},_easeToEnd:function(t){var e=this.zooming;this.zooming=!1,this.rotating=!1,this.pitching=!1,e&&this.fire(\"zoomend\",t),this.fire(\"moveend\",t)},flyTo:function(t,e){function r(t){var e=(A*A-k*k+(t?-1:1)*L*L*T*T)/(2*(t?A:k)*L*T);return Math.log(Math.sqrt(e*e+1)-e)}function a(t){return(Math.exp(t)-Math.exp(-t))/2}function s(t){return(Math.exp(t)+Math.exp(-t))/2}function u(t){return a(t)/s(t)}this.stop(),t=n.extend({offset:[0,0],speed:1.2,curve:1.42,easing:n.ease},t);var c=this.transform,h=l.convert(t.offset),f=this.getZoom(),d=this.getBearing(),p=this.getPitch(),m=\"center\"in t?o.convert(t.center):this.getCenter(),v=\"zoom\"in t?+t.zoom:f,g=\"bearing\"in t?this._normalizeBearing(t.bearing,d):d,y=\"pitch\"in t?+t.pitch:p;Math.abs(c.center.lng)+Math.abs(m.lng)>180&&(c.center.lng>0&&m.lng<0?m.lng+=360:c.center.lng<0&&m.lng>0&&(m.lng-=360));var b=c.zoomScale(v-f),x=c.point,_=\"center\"in t?c.project(m).sub(h.div(b)):x,w=c.worldSize,M=t.curve,k=Math.max(c.width,c.height),A=k/b,T=_.sub(x).mag();if(\"minZoom\"in t){var S=n.clamp(Math.min(t.minZoom,f,v),c.minZoom,c.maxZoom),E=k/c.zoomScale(S-f);M=Math.sqrt(E/T*2)}var L=M*M,C=r(0),I=function(t){return s(C)/s(C+M*t)},z=function(t){return k*((s(C)*u(C+M*t)-a(C))/L)/T},D=(r(1)-C)/M;if(Math.abs(T)<1e-6){if(Math.abs(k-A)<1e-6)return this.easeTo(t);var P=A<k?-1:1;D=Math.abs(Math.log(A/k))/M,z=function(){return 0},I=function(t){return Math.exp(P*M*t)}}if(\"duration\"in t)t.duration=+t.duration;else{var O=\"screenSpeed\"in t?+t.screenSpeed/M:+t.speed;t.duration=1e3*D/O}return this.zooming=!0,d!==g&&(this.rotating=!0),p!==y&&(this.pitching=!0),this.fire(\"movestart\",e),this.fire(\"zoomstart\",e),this._ease(function(t){var r=t*D,n=z(r);c.zoom=f+c.scaleZoom(1/I(r)),c.center=c.unproject(x.add(_.sub(x).mult(n)),w),this.rotating&&(c.bearing=i(d,g,t)),this.pitching&&(c.pitch=i(p,y,t)),this.fire(\"move\",e),this.fire(\"zoom\",e),this.rotating&&this.fire(\"rotate\",e),this.pitching&&this.fire(\"pitch\",e)},function(){this.zooming=!1,this.rotating=!1,this.pitching=!1,this.fire(\"zoomend\",e),this.fire(\"moveend\",e)},t),this},isEasing:function(){return!!this._abortFn},stop:function(){return this._abortFn&&(this._abortFn(),this._finishEase()),this},_ease:function(t,e,r){this._finishFn=e,this._abortFn=a.timed(function(e){t.call(this,r.easing(e)),1===e&&this._finishEase()},!1===r.animate?0:r.duration,this)},_finishEase:function(){delete this._abortFn;var t=this._finishFn;delete this._finishFn,t.call(this)},_normalizeBearing:function(t,e){t=n.wrap(t,-180,180);var r=Math.abs(t-e);return Math.abs(t-360-e)<r&&(t-=360),Math.abs(t+360-e)<r&&(t+=360),t},_updateEasing:function(t,e,r){var i;if(this.ease){var a=this.ease,o=(Date.now()-a.start)/a.duration,s=a.easing(o+.01)-a.easing(o),l=.27/Math.sqrt(s*s+1e-4)*.01,u=Math.sqrt(.0729-l*l);i=n.bezier(l,u,.25,1)}else i=r?n.bezier.apply(n,r):n.ease;return this.ease={start:(new Date).getTime(),to:Math.pow(2,e),duration:t,easing:i},i}})},{\"../geo/lng_lat\":339,\"../geo/lng_lat_bounds\":340,\"../util/browser\":426,\"../util/interpolate\":436,\"../util/util\":442,\"point-geometry\":484}],409:[function(t,e,r){\"use strict\";function n(t){o.setOptions(this,t)}var i=t(\"./control\"),a=t(\"../../util/dom\"),o=t(\"../../util/util\");e.exports=n,n.createAttributionString=function(t){var e=[];for(var r in t){var n=t[r];n.attribution&&e.indexOf(n.attribution)<0&&e.push(n.attribution)}return e.sort(function(t,e){return t.length-e.length}),e=e.filter(function(t,r){for(var n=r+1;n<e.length;n++)if(e[n].indexOf(t)>=0)return!1;return!0}),e.join(\" | \")},n.prototype=o.inherit(i,{options:{position:\"bottom-right\"},onAdd:function(t){var e=this._container=a.create(\"div\",\"mapboxgl-ctrl-attrib\",t.getContainer());return this._update(),t.on(\"source.load\",this._update.bind(this)),t.on(\"source.change\",this._update.bind(this)),t.on(\"source.remove\",this._update.bind(this)),t.on(\"moveend\",this._updateEditLink.bind(this)),e},_update:function(){this._map.style&&(this._container.innerHTML=n.createAttributionString(this._map.style.sources)),this._editLink=this._container.getElementsByClassName(\"mapbox-improve-map\")[0],this._updateEditLink()},_updateEditLink:function(){if(this._editLink){var t=this._map.getCenter();this._editLink.href=\"https://www.mapbox.com/map-feedback/#/\"+t.lng+\"/\"+t.lat+\"/\"+Math.round(this._map.getZoom()+1)}}})},{\"../../util/dom\":428,\"../../util/util\":442,\"./control\":410}],410:[function(t,e,r){\"use strict\";function n(){}var i=t(\"../../util/util\"),a=t(\"../../util/evented\");e.exports=n,n.prototype={addTo:function(t){this._map=t;var e=this._container=this.onAdd(t);if(this.options&&this.options.position){var r=this.options.position,n=t._controlCorners[r];e.className+=\" mapboxgl-ctrl\",-1!==r.indexOf(\"bottom\")?n.insertBefore(e,n.firstChild):n.appendChild(e)}return this},remove:function(){return this._container.parentNode.removeChild(this._container),this.onRemove&&this.onRemove(this._map),this._map=null,this}},i.extend(n.prototype,a)},{\"../../util/evented\":434,\"../../util/util\":442}],411:[function(t,e,r){\"use strict\";function n(t){s.setOptions(this,t)}var i=t(\"./control\"),a=t(\"../../util/browser\"),o=t(\"../../util/dom\"),s=t(\"../../util/util\");e.exports=n;var l={enableHighAccuracy:!1,timeout:6e3};n.prototype=s.inherit(i,{options:{position:\"top-right\"},onAdd:function(t){var e=this._container=o.create(\"div\",\"mapboxgl-ctrl-group\",t.getContainer());return a.supportsGeolocation?(this._container.addEventListener(\"contextmenu\",this._onContextMenu.bind(this)),this._geolocateButton=o.create(\"button\",\"mapboxgl-ctrl-icon mapboxgl-ctrl-geolocate\",this._container),this._geolocateButton.type=\"button\",this._geolocateButton.addEventListener(\"click\",this._onClickGeolocate.bind(this)),e):e},_onContextMenu:function(t){t.preventDefault()},_onClickGeolocate:function(){navigator.geolocation.getCurrentPosition(this._success.bind(this),this._error.bind(this),l),this._timeoutId=setTimeout(this._finish.bind(this),1e4)},_success:function(t){this._map.jumpTo({center:[t.coords.longitude,t.coords.latitude],zoom:17,bearing:0,pitch:0}),this.fire(\"geolocate\",t),this._finish()},_error:function(t){this.fire(\"error\",t),this._finish()},_finish:function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0}})},{\"../../util/browser\":426,\"../../util/dom\":428,\"../../util/util\":442,\"./control\":410}],412:[function(t,e,r){\"use strict\";function n(t){s.setOptions(this,t)}function i(t){return new MouseEvent(t.type,{button:2,buttons:2,bubbles:!0,cancelable:!0,detail:t.detail,view:t.view,screenX:t.screenX,screenY:t.screenY,clientX:t.clientX,clientY:t.clientY,movementX:t.movementX,movementY:t.movementY,ctrlKey:t.ctrlKey,shiftKey:t.shiftKey,altKey:t.altKey,metaKey:t.metaKey})}var a=t(\"./control\"),o=t(\"../../util/dom\"),s=t(\"../../util/util\");e.exports=n,n.prototype=s.inherit(a,{options:{position:\"top-right\"},onAdd:function(t){var e=\"mapboxgl-ctrl\",r=this._container=o.create(\"div\",e+\"-group\",t.getContainer());return this._container.addEventListener(\"contextmenu\",this._onContextMenu.bind(this)),this._zoomInButton=this._createButton(e+\"-icon \"+e+\"-zoom-in\",t.zoomIn.bind(t)),this._zoomOutButton=this._createButton(e+\"-icon \"+e+\"-zoom-out\",t.zoomOut.bind(t)),this._compass=this._createButton(e+\"-icon \"+e+\"-compass\",t.resetNorth.bind(t)),this._compassArrow=o.create(\"div\",\"arrow\",this._compass),this._compass.addEventListener(\"mousedown\",this._onCompassDown.bind(this)),this._onCompassMove=this._onCompassMove.bind(this),this._onCompassUp=this._onCompassUp.bind(this),t.on(\"rotate\",this._rotateCompassArrow.bind(this)),this._rotateCompassArrow(),this._el=t.getCanvasContainer(),r},_onContextMenu:function(t){t.preventDefault()},_onCompassDown:function(t){0===t.button&&(o.disableDrag(),document.addEventListener(\"mousemove\",this._onCompassMove),document.addEventListener(\"mouseup\",this._onCompassUp),this._el.dispatchEvent(i(t)),t.stopPropagation())},_onCompassMove:function(t){0===t.button&&(this._el.dispatchEvent(i(t)),t.stopPropagation())},_onCompassUp:function(t){0===t.button&&(document.removeEventListener(\"mousemove\",this._onCompassMove),document.removeEventListener(\"mouseup\",this._onCompassUp),o.enableDrag(),this._el.dispatchEvent(i(t)),t.stopPropagation())},_createButton:function(t,e){var r=o.create(\"button\",t,this._container);return r.type=\"button\",r.addEventListener(\"click\",function(){e()}),r},_rotateCompassArrow:function(){var t=\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassArrow.style.transform=t}})},{\"../../util/dom\":428,\"../../util/util\":442,\"./control\":410}],413:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),o.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../geo/lng_lat_bounds\"),o=t(\"../../util/util\");e.exports=n,n.prototype={_enabled:!1,_active:!1,isEnabled:function(){return this._enabled},isActive:function(){return this._active},enable:function(){this.isEnabled()||(this._el.addEventListener(\"mousedown\",this._onMouseDown,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"mousedown\",this._onMouseDown),this._enabled=!1)},_onMouseDown:function(t){t.shiftKey&&0===t.button&&(document.addEventListener(\"mousemove\",this._onMouseMove,!1),document.addEventListener(\"keydown\",this._onKeyDown,!1),document.addEventListener(\"mouseup\",this._onMouseUp,!1),i.disableDrag(),this._startPos=i.mousePos(this._el,t),this._active=!0)},_onMouseMove:function(t){var e=this._startPos,r=i.mousePos(this._el,t);this._box||(this._box=i.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var n=Math.min(e.x,r.x),a=Math.max(e.x,r.x),o=Math.min(e.y,r.y),s=Math.max(e.y,r.y);i.setTransform(this._box,\"translate(\"+n+\"px,\"+o+\"px)\"),this._box.style.width=a-n+\"px\",this._box.style.height=s-o+\"px\"},_onMouseUp:function(t){if(0===t.button){var e=this._startPos,r=i.mousePos(this._el,t),n=new a(this._map.unproject(e),this._map.unproject(r));this._finish(),e.x===r.x&&e.y===r.y?this._fireEvent(\"boxzoomcancel\",t):this._map.fitBounds(n,{linear:!0}).fire(\"boxzoomend\",{originalEvent:t,boxZoomBounds:n})}},_onKeyDown:function(t){27===t.keyCode&&(this._finish(),this._fireEvent(\"boxzoomcancel\",t))},_finish:function(){this._active=!1,document.removeEventListener(\"mousemove\",this._onMouseMove,!1),document.removeEventListener(\"keydown\",this._onKeyDown,!1),document.removeEventListener(\"mouseup\",this._onMouseUp,!1),this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(this._box.parentNode.removeChild(this._box),this._box=null),i.enableDrag()},_fireEvent:function(t,e){return this._map.fire(t,{originalEvent:e})}}},{\"../../geo/lng_lat_bounds\":340,\"../../util/dom\":428,\"../../util/util\":442}],414:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._onDblClick=this._onDblClick.bind(this)}e.exports=n,n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._map.on(\"dblclick\",this._onDblClick),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._map.off(\"dblclick\",this._onDblClick),this._enabled=!1)},_onDblClick:function(t){this._map.zoomTo(this._map.getZoom()+(t.originalEvent.shiftKey?-1:1),{around:t.lngLat},t)}}},{}],415:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),a.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../util/util\");e.exports=n;var o=a.bezier(0,0,.3,1);n.prototype={_enabled:!1,_active:!1,isEnabled:function(){return this._enabled},isActive:function(){return this._active},enable:function(){this.isEnabled()||(this._el.addEventListener(\"mousedown\",this._onDown),this._el.addEventListener(\"touchstart\",this._onDown),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"mousedown\",this._onDown),this._el.removeEventListener(\"touchstart\",this._onDown),this._enabled=!1)},_onDown:function(t){this._ignoreEvent(t)||this.isActive()||(t.touches?(document.addEventListener(\"touchmove\",this._onMove),document.addEventListener(\"touchend\",this._onTouchEnd)):(document.addEventListener(\"mousemove\",this._onMove),document.addEventListener(\"mouseup\",this._onMouseUp)),this._active=!1,this._startPos=this._pos=i.mousePos(this._el,t),this._inertia=[[Date.now(),this._pos]])},_onMove:function(t){if(!this._ignoreEvent(t)){this.isActive()||(this._active=!0,this._fireEvent(\"dragstart\",t),this._fireEvent(\"movestart\",t));var e=i.mousePos(this._el,t),r=this._map;r.stop(),this._drainInertiaBuffer(),this._inertia.push([Date.now(),e]),r.transform.setLocationAtPoint(r.transform.pointLocation(this._pos),e),this._fireEvent(\"drag\",t),this._fireEvent(\"move\",t),this._pos=e,t.preventDefault()}},_onUp:function(t){if(this.isActive()){this._active=!1,this._fireEvent(\"dragend\",t),this._drainInertiaBuffer();var e=function(){this._fireEvent(\"moveend\",t)}.bind(this),r=this._inertia;if(r.length<2)return void e();var n=r[r.length-1],i=r[0],a=n[1].sub(i[1]),s=(n[0]-i[0])/1e3;if(0===s||n[1].equals(i[1]))return void e();var l=a.mult(.3/s),u=l.mag();u>1400&&(u=1400,l._unit()._mult(u));var c=u/750,h=l.mult(-c/2);this._map.panBy(h,{duration:1e3*c,easing:o,noMoveStart:!0},{originalEvent:t})}},_onMouseUp:function(t){this._ignoreEvent(t)||(this._onUp(t),document.removeEventListener(\"mousemove\",this._onMove),document.removeEventListener(\"mouseup\",this._onMouseUp))},_onTouchEnd:function(t){this._ignoreEvent(t)||(this._onUp(t),document.removeEventListener(\"touchmove\",this._onMove),document.removeEventListener(\"touchend\",this._onTouchEnd))},_fireEvent:function(t,e){return this._map.fire(t,{originalEvent:e})},_ignoreEvent:function(t){var e=this._map;if(e.boxZoom&&e.boxZoom.isActive())return!0;if(e.dragRotate&&e.dragRotate.isActive())return!0;if(t.touches)return t.touches.length>1;if(t.ctrlKey)return!0;return\"mousemove\"===t.type?!1&t.buttons:0!==t.button},_drainInertiaBuffer:function(){for(var t=this._inertia,e=Date.now();t.length>0&&e-t[0][0]>160;)t.shift()}}},{\"../../util/dom\":428,\"../../util/util\":442}],416:[function(t,e,r){\"use strict\";function n(t,e){this._map=t,this._el=t.getCanvasContainer(),this._bearingSnap=e.bearingSnap,o.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"point-geometry\"),o=t(\"../../util/util\");e.exports=n;var s=o.bezier(0,0,.25,1);n.prototype={_enabled:!1,_active:!1,isEnabled:function(){return this._enabled},isActive:function(){return this._active},enable:function(){this.isEnabled()||(this._el.addEventListener(\"mousedown\",this._onDown),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"mousedown\",this._onDown),this._enabled=!1)},_onDown:function(t){if(!this._ignoreEvent(t)&&!this.isActive()){document.addEventListener(\"mousemove\",this._onMove),document.addEventListener(\"mouseup\",this._onUp),this._active=!1,this._inertia=[[Date.now(),this._map.getBearing()]],this._startPos=this._pos=i.mousePos(this._el,t),this._center=this._map.transform.centerPoint;var e=this._startPos.sub(this._center);e.mag()<200&&(this._center=this._startPos.add(new a(-200,0)._rotate(e.angle()))),t.preventDefault()}},_onMove:function(t){if(!this._ignoreEvent(t)){this.isActive()||(this._active=!0,this._fireEvent(\"rotatestart\",t),this._fireEvent(\"movestart\",t));var e=this._map;e.stop();var r=this._pos,n=i.mousePos(this._el,t),a=this._center,o=r.sub(a).angleWith(n.sub(a))/Math.PI*180,s=e.getBearing()-o,l=this._inertia,u=l[l.length-1];this._drainInertiaBuffer(),l.push([Date.now(),e._normalizeBearing(s,u[1])]),e.transform.bearing=s,this._fireEvent(\"rotate\",t),this._fireEvent(\"move\",t),this._pos=n}},_onUp:function(t){if(!this._ignoreEvent(t)&&(document.removeEventListener(\"mousemove\",this._onMove),document.removeEventListener(\"mouseup\",this._onUp),this.isActive())){this._active=!1,this._fireEvent(\"rotateend\",t),this._drainInertiaBuffer();var e=this._map,r=e.getBearing(),n=this._inertia,i=function(){Math.abs(r)<this._bearingSnap?e.resetNorth({noMoveStart:!0},{originalEvent:t}):this._fireEvent(\"moveend\",t)}.bind(this);if(n.length<2)return void i();var a=n[0],o=n[n.length-1],l=n[n.length-2],u=e._normalizeBearing(r,l[1]),c=o[1]-a[1],h=c<0?-1:1,f=(o[0]-a[0])/1e3;if(0===c||0===f)return void i();var d=Math.abs(c*(.25/f));d>180&&(d=180);var p=d/180;u+=h*d*(p/2),Math.abs(e._normalizeBearing(u,0))<this._bearingSnap&&(u=e._normalizeBearing(0,u)),e.rotateTo(u,{duration:1e3*p,easing:s,noMoveStart:!0},{originalEvent:t})}},_fireEvent:function(t,e){return this._map.fire(t,{originalEvent:e})},_ignoreEvent:function(t){var e=this._map;if(e.boxZoom&&e.boxZoom.isActive())return!0;if(e.dragPan&&e.dragPan.isActive())return!0;if(t.touches)return t.touches.length>1;var r=t.ctrlKey?1:2,n=t.ctrlKey?0:2;return\"mousemove\"===t.type?t.buttons&0===r:t.button!==n},_drainInertiaBuffer:function(){for(var t=this._inertia,e=Date.now();t.length>0&&e-t[0][0]>160;)t.shift()}}},{\"../../util/dom\":428,\"../../util/util\":442,\"point-geometry\":484}],417:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),this._onKeyDown=this._onKeyDown.bind(this)}e.exports=n;n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._el.addEventListener(\"keydown\",this._onKeyDown,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"keydown\",this._onKeyDown),this._enabled=!1)},_onKeyDown:function(t){if(!(t.altKey||t.ctrlKey||t.metaKey)){var e=this._map,r={originalEvent:t};if(!e.isEasing())switch(t.keyCode){case 61:case 107:case 171:case 187:e.zoomTo(Math.round(e.getZoom())+(t.shiftKey?2:1),r);break;case 189:case 109:case 173:e.zoomTo(Math.round(e.getZoom())-(t.shiftKey?2:1),r);break;case 37:t.shiftKey?e.easeTo({bearing:e.getBearing()-2},r):(t.preventDefault(),e.panBy([-80,0],r));break;case 39:t.shiftKey?e.easeTo({bearing:e.getBearing()+2},r):(t.preventDefault(),e.panBy([80,0],r));break;case 38:t.shiftKey?e.easeTo({pitch:e.getPitch()+5},r):(t.preventDefault(),e.panBy([0,-80],r));break;case 40:t.shiftKey?e.easeTo({pitch:Math.max(e.getPitch()-5,0)},r):(t.preventDefault(),e.panBy([0,80],r))}}}}},{}],418:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),o.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../util/browser\"),o=t(\"../../util/util\");e.exports=n;var s=\"undefined\"!=typeof navigator?navigator.userAgent.toLowerCase():\"\",l=-1!==s.indexOf(\"firefox\"),u=-1!==s.indexOf(\"safari\")&&-1===s.indexOf(\"chrom\");n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._el.addEventListener(\"wheel\",this._onWheel,!1),this._el.addEventListener(\"mousewheel\",this._onWheel,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"wheel\",this._onWheel),this._el.removeEventListener(\"mousewheel\",this._onWheel),this._enabled=!1)},_onWheel:function(t){var e;\"wheel\"===t.type?(e=t.deltaY,l&&t.deltaMode===window.WheelEvent.DOM_DELTA_PIXEL&&(e/=a.devicePixelRatio),t.deltaMode===window.WheelEvent.DOM_DELTA_LINE&&(e*=40)):\"mousewheel\"===t.type&&(e=-t.wheelDeltaY,u&&(e/=3));var r=a.now(),n=r-(this._time||0);this._pos=i.mousePos(this._el,t),this._time=r,0!==e&&e%4.000244140625==0?(this._type=\"wheel\",e=Math.floor(e/4)):0!==e&&Math.abs(e)<4?this._type=\"trackpad\":n>400?(this._type=null,this._lastValue=e,this._timeout=setTimeout(this._onTimeout,40)):this._type||(this._type=Math.abs(n*e)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,e+=this._lastValue)),t.shiftKey&&e&&(e/=4),this._type&&this._zoom(-e,t),t.preventDefault()},_onTimeout:function(){this._type=\"wheel\",this._zoom(-this._lastValue)},_zoom:function(t,e){if(0!==t){var r=this._map,n=2/(1+Math.exp(-Math.abs(t/100)));t<0&&0!==n&&(n=1/n);var i=r.ease?r.ease.to:r.transform.scale,a=r.transform.scaleZoom(i*n);r.zoomTo(a,{duration:0,around:r.unproject(this._pos),delayEndEvents:200},{originalEvent:e})}}}},{\"../../util/browser\":426,\"../../util/dom\":428,\"../../util/util\":442}],419:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),a.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../util/util\");e.exports=n;var o=a.bezier(0,0,.15,1);n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._el.addEventListener(\"touchstart\",this._onStart,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"touchstart\",this._onStart),this._enabled=!1)},disableRotation:function(){this._rotationDisabled=!0},enableRotation:function(){this._rotationDisabled=!1},_onStart:function(t){if(2===t.touches.length){var e=i.mousePos(this._el,t.touches[0]),r=i.mousePos(this._el,t.touches[1]);this._startVec=e.sub(r),this._startScale=this._map.transform.scale,this._startBearing=this._map.transform.bearing,this._gestureIntent=void 0,this._inertia=[],\n",
       "document.addEventListener(\"touchmove\",this._onMove,!1),document.addEventListener(\"touchend\",this._onEnd,!1)}},_onMove:function(t){if(2===t.touches.length){var e=i.mousePos(this._el,t.touches[0]),r=i.mousePos(this._el,t.touches[1]),n=e.add(r).div(2),a=e.sub(r),o=a.mag()/this._startVec.mag(),s=this._rotationDisabled?0:180*a.angleWith(this._startVec)/Math.PI,l=this._map;if(this._gestureIntent){var u={duration:0,around:l.unproject(n)};\"rotate\"===this._gestureIntent&&(u.bearing=this._startBearing+s),\"zoom\"!==this._gestureIntent&&\"rotate\"!==this._gestureIntent||(u.zoom=l.transform.scaleZoom(this._startScale*o)),l.stop(),this._drainInertiaBuffer(),this._inertia.push([Date.now(),o,n]),l.easeTo(u,{originalEvent:t})}else{var c=Math.abs(1-o)>.15;Math.abs(s)>4?this._gestureIntent=\"rotate\":c&&(this._gestureIntent=\"zoom\"),this._gestureIntent&&(this._startVec=a,this._startScale=l.transform.scale,this._startBearing=l.transform.bearing)}t.preventDefault()}},_onEnd:function(t){document.removeEventListener(\"touchmove\",this._onMove),document.removeEventListener(\"touchend\",this._onEnd),this._drainInertiaBuffer();var e=this._inertia,r=this._map;if(e.length<2)return void r.snapToNorth({},{originalEvent:t});var n=e[e.length-1],i=e[0],a=r.transform.scaleZoom(this._startScale*n[1]),s=r.transform.scaleZoom(this._startScale*i[1]),l=a-s,u=(n[0]-i[0])/1e3,c=n[2];if(0===u||a===s)return void r.snapToNorth({},{originalEvent:t});var h=.15*l/u;Math.abs(h)>2.5&&(h=h>0?2.5:-2.5);var f=1e3*Math.abs(h/(12*.15)),d=a+h*f/2e3;d<0&&(d=0),r.easeTo({zoom:d,duration:f,easing:o,around:r.unproject(c)},{originalEvent:t})},_drainInertiaBuffer:function(){for(var t=this._inertia,e=Date.now();t.length>2&&e-t[0][0]>160;)t.shift()}}},{\"../../util/dom\":428,\"../../util/util\":442}],420:[function(t,e,r){\"use strict\";function n(){i.bindAll([\"_onHashChange\",\"_updateHash\"],this)}e.exports=n;var i=t(\"../util/util\");n.prototype={addTo:function(t){return this._map=t,window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},remove:function(){return window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),delete this._map,this},_onHashChange:function(){var t=location.hash.replace(\"#\",\"\").split(\"/\");return t.length>=3&&(this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:+(t[3]||0)}),!0)},_updateHash:function(){var t=this._map.getCenter(),e=this._map.getZoom(),r=this._map.getBearing(),n=Math.max(0,Math.ceil(Math.log(e)/Math.LN2)),i=\"#\"+Math.round(100*e)/100+\"/\"+t.lat.toFixed(n)+\"/\"+t.lng.toFixed(n)+(r?\"/\"+Math.round(10*r)/10:\"\");window.history.replaceState(\"\",\"\",i)}}},{\"../util/util\":442}],421:[function(t,e,r){\"use strict\";function n(t){t.parentNode&&t.parentNode.removeChild(t)}var i=t(\"../util/canvas\"),a=t(\"../util/util\"),o=t(\"../util/browser\"),s=t(\"../util/browser\").window,l=t(\"../util/evented\"),u=t(\"../util/dom\"),c=t(\"../style/style\"),h=t(\"../style/animation_loop\"),f=t(\"../render/painter\"),d=t(\"../geo/transform\"),p=t(\"./hash\"),m=t(\"./bind_handlers\"),v=t(\"./camera\"),g=t(\"../geo/lng_lat\"),y=t(\"../geo/lng_lat_bounds\"),b=t(\"point-geometry\"),x=t(\"./control/attribution\"),_={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:0,maxZoom:20,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,bearingSnap:7,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,workerCount:Math.max(o.hardwareConcurrency-1,1)},w=e.exports=function(t){if(t=a.extend({},_,t),t.workerCount<1)throw new Error(\"workerCount must an integer greater than or equal to 1.\");this._interactive=t.interactive,this._failIfMajorPerformanceCaveat=t.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=t.preserveDrawingBuffer,this._trackResize=t.trackResize,this._workerCount=t.workerCount,this._bearingSnap=t.bearingSnap,\"string\"==typeof t.container?this._container=document.getElementById(t.container):this._container=t.container,this.animationLoop=new h,this.transform=new d(t.minZoom,t.maxZoom),t.maxBounds&&this.setMaxBounds(t.maxBounds),a.bindAll([\"_forwardStyleEvent\",\"_forwardSourceEvent\",\"_forwardLayerEvent\",\"_forwardTileEvent\",\"_onStyleLoad\",\"_onStyleChange\",\"_onSourceAdd\",\"_onSourceRemove\",\"_onSourceUpdate\",\"_onWindowOnline\",\"_onWindowResize\",\"_update\",\"_render\"],this),this._setupContainer(),this._setupPainter(),this.on(\"move\",this._update.bind(this,!1)),this.on(\"zoom\",this._update.bind(this,!0)),this.on(\"moveend\",function(){this.animationLoop.set(300),this._rerender()}.bind(this)),void 0!==s&&(s.addEventListener(\"online\",this._onWindowOnline,!1),s.addEventListener(\"resize\",this._onWindowResize,!1)),m(this,t),this._hash=t.hash&&(new p).addTo(this),this._hash&&this._hash._onHashChange()||this.jumpTo({center:t.center,zoom:t.zoom,bearing:t.bearing,pitch:t.pitch}),this.stacks={},this._classes=[],this.resize(),t.classes&&this.setClasses(t.classes),t.style&&this.setStyle(t.style),t.attributionControl&&this.addControl(new x(t.attributionControl));var e=this.fire.bind(this,\"error\");this.on(\"style.error\",e),this.on(\"source.error\",e),this.on(\"tile.error\",e),this.on(\"layer.error\",e)};a.extend(w.prototype,l),a.extend(w.prototype,v.prototype),a.extend(w.prototype,{addControl:function(t){return t.addTo(this),this},addClass:function(t,e){return this._classes.indexOf(t)>=0||\"\"===t?this:(this._classes.push(t),this._classOptions=e,this.style&&this.style.updateClasses(),this._update(!0))},removeClass:function(t,e){var r=this._classes.indexOf(t);return r<0||\"\"===t?this:(this._classes.splice(r,1),this._classOptions=e,this.style&&this.style.updateClasses(),this._update(!0))},setClasses:function(t,e){for(var r={},n=0;n<t.length;n++)\"\"!==t[n]&&(r[t[n]]=!0);return this._classes=Object.keys(r),this._classOptions=e,this.style&&this.style.updateClasses(),this._update(!0)},hasClass:function(t){return this._classes.indexOf(t)>=0},getClasses:function(){return this._classes},resize:function(){var t=0,e=0;return this._container&&(t=this._container.offsetWidth||400,e=this._container.offsetHeight||300),this._canvas.resize(t,e),this.transform.resize(t,e),this.painter.resize(t,e),this.fire(\"movestart\").fire(\"move\").fire(\"resize\").fire(\"moveend\")},getBounds:function(){var t=new y(this.transform.pointLocation(new b(0,0)),this.transform.pointLocation(this.transform.size));return(this.transform.angle||this.transform.pitch)&&(t.extend(this.transform.pointLocation(new b(this.transform.size.x,0))),t.extend(this.transform.pointLocation(new b(0,this.transform.size.y)))),t},setMaxBounds:function(t){if(t){var e=y.convert(t);this.transform.lngRange=[e.getWest(),e.getEast()],this.transform.latRange=[e.getSouth(),e.getNorth()],this.transform._constrain(),this._update()}else null!==t&&void 0!==t||(this.transform.lngRange=[],this.transform.latRange=[],this._update());return this},setMinZoom:function(t){if((t=null===t||void 0===t?0:t)>=0&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between 0 and the current maxZoom, inclusive\")},setMaxZoom:function(t){if((t=null===t||void 0===t?20:t)>=this.transform.minZoom&&t<=20)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be between the current minZoom and 20, inclusive\")},project:function(t){return this.transform.locationPoint(g.convert(t))},unproject:function(t){return this.transform.pointLocation(b.convert(t))},queryRenderedFeatures:function(){var t,e={};return 2===arguments.length?(t=arguments[0],e=arguments[1]):1===arguments.length&&function(t){return t instanceof b||Array.isArray(t)}(arguments[0])?t=arguments[0]:1===arguments.length&&(e=arguments[0]),this.style.queryRenderedFeatures(this._makeQueryGeometry(t),e,this.transform.zoom,this.transform.angle)},_makeQueryGeometry:function(t){void 0===t&&(t=[b.convert([0,0]),b.convert([this.transform.width,this.transform.height])]);var e;if(t instanceof b||\"number\"==typeof t[0])e=[b.convert(t)];else{var r=[b.convert(t[0]),b.convert(t[1])];e=[r[0],new b(r[1].x,r[0].y),r[1],new b(r[0].x,r[1].y),r[0]]}return e=e.map(function(t){return this.transform.pointCoordinate(t)}.bind(this))},querySourceFeatures:function(t,e){return this.style.querySourceFeatures(t,e)},setStyle:function(t){return this.style&&(this.style.off(\"load\",this._onStyleLoad).off(\"error\",this._forwardStyleEvent).off(\"change\",this._onStyleChange).off(\"source.add\",this._onSourceAdd).off(\"source.remove\",this._onSourceRemove).off(\"source.load\",this._onSourceUpdate).off(\"source.error\",this._forwardSourceEvent).off(\"source.change\",this._onSourceUpdate).off(\"layer.add\",this._forwardLayerEvent).off(\"layer.remove\",this._forwardLayerEvent).off(\"layer.error\",this._forwardLayerEvent).off(\"tile.add\",this._forwardTileEvent).off(\"tile.remove\",this._forwardTileEvent).off(\"tile.load\",this._update).off(\"tile.error\",this._forwardTileEvent).off(\"tile.stats\",this._forwardTileEvent)._remove(),this.off(\"rotate\",this.style._redoPlacement),this.off(\"pitch\",this.style._redoPlacement)),t?(this.style=t instanceof c?t:new c(t,this.animationLoop,this._workerCount),this.style.on(\"load\",this._onStyleLoad).on(\"error\",this._forwardStyleEvent).on(\"change\",this._onStyleChange).on(\"source.add\",this._onSourceAdd).on(\"source.remove\",this._onSourceRemove).on(\"source.load\",this._onSourceUpdate).on(\"source.error\",this._forwardSourceEvent).on(\"source.change\",this._onSourceUpdate).on(\"layer.add\",this._forwardLayerEvent).on(\"layer.remove\",this._forwardLayerEvent).on(\"layer.error\",this._forwardLayerEvent).on(\"tile.add\",this._forwardTileEvent).on(\"tile.remove\",this._forwardTileEvent).on(\"tile.load\",this._update).on(\"tile.error\",this._forwardTileEvent).on(\"tile.stats\",this._forwardTileEvent),this.on(\"rotate\",this.style._redoPlacement),this.on(\"pitch\",this.style._redoPlacement),this):(this.style=null,this)},getStyle:function(){if(this.style)return this.style.serialize()},addSource:function(t,e){return this.style.addSource(t,e),this._update(!0),this},addSourceType:function(t,e,r){return this.style.addSourceType(t,e,r)},removeSource:function(t){return this.style.removeSource(t),this._update(!0),this},getSource:function(t){return this.style.getSource(t)},addLayer:function(t,e){return this.style.addLayer(t,e),this._update(!0),this},removeLayer:function(t){return this.style.removeLayer(t),this._update(!0),this},getLayer:function(t){return this.style.getLayer(t)},setFilter:function(t,e){return this.style.setFilter(t,e),this._update(!0),this},setLayerZoomRange:function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0),this},getFilter:function(t){return this.style.getFilter(t)},setPaintProperty:function(t,e,r,n){return this.style.setPaintProperty(t,e,r,n),this._update(!0),this},getPaintProperty:function(t,e,r){return this.style.getPaintProperty(t,e,r)},setLayoutProperty:function(t,e,r){return this.style.setLayoutProperty(t,e,r),this._update(!0),this},getLayoutProperty:function(t,e){return this.style.getLayoutProperty(t,e)},getContainer:function(){return this._container},getCanvasContainer:function(){return this._canvasContainer},getCanvas:function(){return this._canvas.getElement()},_setupContainer:function(){var t=this._container;t.classList.add(\"mapboxgl-map\");var e=this._canvasContainer=u.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=new i(this,e);var r=this._controlContainer=u.create(\"div\",\"mapboxgl-control-container\",t),n=this._controlCorners={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach(function(t){n[t]=u.create(\"div\",\"mapboxgl-ctrl-\"+t,r)})},_setupPainter:function(){var t=this._canvas.getWebGLContext({failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer});if(!t)return void this.fire(\"error\",{error:new Error(\"Failed to initialize WebGL\")});this.painter=new f(t,this.transform)},_contextLost:function(t){t.preventDefault(),this._frameId&&o.cancelFrame(this._frameId),this.fire(\"webglcontextlost\",{originalEvent:t})},_contextRestored:function(t){this._setupPainter(),this.resize(),this._update(),this.fire(\"webglcontextrestored\",{originalEvent:t})},loaded:function(){return!this._styleDirty&&!this._sourcesDirty&&!(!this.style||!this.style.loaded())},_update:function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this._rerender(),this):this},_render:function(){try{this.style&&this._styleDirty&&(this._styleDirty=!1,this.style.update(this._classes,this._classOptions),this._classOptions=null,this.style._recalculate(this.transform.zoom)),this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this.painter.render(this.style,{debug:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,vertices:this.vertices,rotating:this.rotating,zooming:this.zooming}),this.fire(\"render\"),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(\"load\")),this._frameId=null,this.animationLoop.stopped()||(this._styleDirty=!0),(this._sourcesDirty||this._repaint||this._styleDirty)&&this._rerender()}catch(t){this.fire(\"error\",{error:t})}return this},remove:function(){this._hash&&this._hash.remove(),o.cancelFrame(this._frameId),this.setStyle(null),void 0!==s&&s.removeEventListener(\"resize\",this._onWindowResize,!1);var t=this.painter.gl.getExtension(\"WEBGL_lose_context\");t&&t.loseContext(),n(this._canvasContainer),n(this._controlContainer),this._container.classList.remove(\"mapboxgl-map\")},_rerender:function(){this.style&&!this._frameId&&(this._frameId=o.frame(this._render))},_forwardStyleEvent:function(t){this.fire(\"style.\"+t.type,a.extend({style:t.target},t))},_forwardSourceEvent:function(t){this.fire(t.type,a.extend({style:t.target},t))},_forwardLayerEvent:function(t){this.fire(t.type,a.extend({style:t.target},t))},_forwardTileEvent:function(t){this.fire(t.type,a.extend({style:t.target},t))},_onStyleLoad:function(t){this.transform.unmodified&&this.jumpTo(this.style.stylesheet),this.style.update(this._classes,{transition:!1}),this._forwardStyleEvent(t)},_onStyleChange:function(t){this._update(!0),this._forwardStyleEvent(t)},_onSourceAdd:function(t){var e=t.source;e.onAdd&&e.onAdd(this),this._forwardSourceEvent(t)},_onSourceRemove:function(t){var e=t.source;e.onRemove&&e.onRemove(this),this._forwardSourceEvent(t)},_onSourceUpdate:function(t){this._update(),this._forwardSourceEvent(t)},_onWindowOnline:function(){this._update()},_onWindowResize:function(){this._trackResize&&this.stop().resize()._update()}}),a.extendAll(w.prototype,{_showTileBoundaries:!1,get showTileBoundaries(){return this._showTileBoundaries},set showTileBoundaries(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},_showCollisionBoxes:!1,get showCollisionBoxes(){return this._showCollisionBoxes},set showCollisionBoxes(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,this.style._redoPlacement())},_showOverdrawInspector:!1,get showOverdrawInspector(){return this._showOverdrawInspector},set showOverdrawInspector(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},_repaint:!1,get repaint(){return this._repaint},set repaint(t){this._repaint=t,this._update()},_vertices:!1,get vertices(){return this._vertices},set vertices(t){this._vertices=t,this._update()}})},{\"../geo/lng_lat\":339,\"../geo/lng_lat_bounds\":340,\"../geo/transform\":341,\"../render/painter\":355,\"../style/animation_loop\":375,\"../style/style\":378,\"../util/browser\":426,\"../util/canvas\":427,\"../util/dom\":428,\"../util/evented\":434,\"../util/util\":442,\"./bind_handlers\":407,\"./camera\":408,\"./control/attribution\":409,\"./hash\":420,\"point-geometry\":484}],422:[function(t,e,r){\"use strict\";function n(t,e){t||(t=i.create(\"div\")),t.classList.add(\"mapboxgl-marker\"),this._el=t,this._offset=o.convert(e&&e.offset||[0,0]),this._update=this._update.bind(this)}e.exports=n;var i=t(\"../util/dom\"),a=t(\"../geo/lng_lat\"),o=t(\"point-geometry\");n.prototype={addTo:function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._el),t.on(\"move\",this._update),this._update(),this},remove:function(){this._map&&(this._map.off(\"move\",this._update),this._map=null);var t=this._el.parentNode;return t&&t.removeChild(this._el),this},getLngLat:function(){return this._lngLat},setLngLat:function(t){return this._lngLat=a.convert(t),this._update(),this},getElement:function(){return this._el},_update:function(){if(this._map){var t=this._map.project(this._lngLat)._add(this._offset);i.setTransform(this._el,\"translate(\"+t.x+\"px,\"+t.y+\"px)\")}}}},{\"../geo/lng_lat\":339,\"../util/dom\":428,\"point-geometry\":484}],423:[function(t,e,r){\"use strict\";function n(t){i.setOptions(this,t),i.bindAll([\"_update\",\"_onClickClose\"],this)}e.exports=n;var i=t(\"../util/util\"),a=t(\"../util/evented\"),o=t(\"../util/dom\"),s=t(\"../geo/lng_lat\");n.prototype=i.inherit(a,{options:{closeButton:!0,closeOnClick:!0},addTo:function(t){return this._map=t,this._map.on(\"move\",this._update),this.options.closeOnClick&&this._map.on(\"click\",this._onClickClose),this._update(),this},remove:function(){return this._content&&this._content.parentNode&&this._content.parentNode.removeChild(this._content),this._container&&(this._container.parentNode.removeChild(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"click\",this._onClickClose),delete this._map),this.fire(\"close\"),this},getLngLat:function(){return this._lngLat},setLngLat:function(t){return this._lngLat=s.convert(t),this._update(),this},setText:function(t){return this.setDOMContent(document.createTextNode(t))},setHTML:function(t){var e,r=document.createDocumentFragment(),n=document.createElement(\"body\");for(n.innerHTML=t;;){if(!(e=n.firstChild))break;r.appendChild(e)}return this.setDOMContent(r)},setDOMContent:function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},_createContent:function(){this._content&&this._content.parentNode&&this._content.parentNode.removeChild(this._content),this._content=o.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=o.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClickClose))},_update:function(){if(this._map&&this._lngLat&&this._content){this._container||(this._container=o.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=o.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content));var t=this._map.project(this._lngLat).round(),e=this.options.anchor;if(!e){var 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s=0,l=0;l<3;++l)s+=Math.pow(r[l]-e[l],2);this.radius.set(t,.5*Math.log(Math.max(s,1e-6))),this.center.set(t,r[0],r[1],r[2])},d.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},d.setMatrix=function(t,e){var r=this.computedRotation;f(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),a(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;h(n,e);var i=n[15];if(Math.abs(i)>1e-6){var o=n[12]/i,s=n[13]/i,l=n[14]/i;this.recalcMatrix(t);var u=Math.exp(this.computedRadius[0]);this.center.set(t,o-n[2]*u,s-n[6]*u,l-n[10]*u),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},d.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},d.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},d.getDistanceLimits=function(t){var e=this.radius.bounds;return 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a=i.viewportWidth,o=i.viewportHeight;t.width=t.width||a-t.xOffset,t.height=t.height||o-t.yOffset,t.needsCopy=!0,de(t.xOffset>=0&&t.xOffset<a&&t.yOffset>=0&&t.yOffset<o&&t.width>0&&t.width<=a&&t.height>0&&t.height<=o,\"copy texture read out of bounds\")}else if(n){if(Qt(n))t.channels=t.channels||4,t.data=n,\"type\"in e||t.type!==Or||(t.type=At(n));else if(gt(n))t.channels=t.channels||4,Tt(t,n),t.alignment=1,t.needsFree=!0;else if(Z(n)){var s=n.data;Array.isArray(s)||t.type!==Or||(t.type=At(s));var l,c,h,f,d,p,m=n.shape,v=n.stride;3===m.length?(h=m[2],p=v[2]):(de(2===m.length,\"invalid ndarray pixel data, must be 2 or 3D\"),h=1,p=1),l=m[0],c=m[1],f=v[0],d=v[1],t.alignment=1,t.width=l,t.height=c,t.channels=h,t.format=t.internalformat=hn[h],t.needsFree=!0,Lt(t,s,f,d,p,n.offset)}else if(xt(n)||_t(n))xt(n)?t.element=n:t.element=n.canvas,t.width=t.element.width,t.height=t.element.height,t.channels=4;else if(wt(n))t.element=n,t.width=n.naturalWidth,t.height=n.naturalHeight,t.channels=4;else if(Mt(n))t.element=n,t.width=n.videoWidth,t.height=n.videoHeight,t.channels=4;else if(yt(n)){var g=t.width||n[0].length,y=t.height||n.length,b=t.channels;b=mt(n[0][0])?b||n[0][0].length:b||1;for(var x=Ce.shape(n),_=1,w=0;w<x.length;++w)_*=x[w];var M=St(t,_);Ce.flatten(n,x,\"\",M),Et(t,M),t.alignment=1,t.width=g,t.height=y,t.channels=b,t.format=t.internalformat=hn[b],t.needsFree=!0}}else t.width=t.width||1,t.height=t.height||1,t.channels=t.channels||4;t.type===jr?de(r.extensions.indexOf(\"oes_texture_float\")>=0,\"oes_texture_float extension not enabled\"):t.type===wr&&de(r.extensions.indexOf(\"oes_texture_half_float\")>=0,\"oes_texture_half_float extension not enabled\")}function d(e,r,i){var a=e.element,o=e.data,s=e.internalformat,l=e.format,u=e.type,h=e.width,f=e.height;c(e),a?t.texImage2D(r,i,l,l,u,a):e.compressed?t.compressedTexImage2D(r,i,s,h,f,0,o):e.needsCopy?(n(),t.copyTexImage2D(r,i,l,e.xOffset,e.yOffset,h,f,0)):t.texImage2D(r,i,l,h,f,0,l,u,o)}function p(e,r,i,a,o){var s=e.element,l=e.data,u=e.internalformat,h=e.format,f=e.type,d=e.width,p=e.height;c(e),s?t.texSubImage2D(r,o,i,a,h,f,s):e.compressed?t.compressedTexSubImage2D(r,o,i,a,u,d,p,l):e.needsCopy?(n(),t.copyTexSubImage2D(r,o,i,a,e.xOffset,e.yOffset,d,p)):t.texSubImage2D(r,o,i,a,d,p,h,f,l)}function m(){return K.pop()||new h}function v(t){t.needsFree&&Le.freeType(t.data),h.call(t),K.push(t)}function g(){s.call(this),this.genMipmaps=!1,this.mipmapHint=$r,this.mipmask=0,this.images=Array(16)}function y(t,e,r){var n=t.images[0]=m();t.mipmask=1,n.width=t.width=e,n.height=t.height=r,n.channels=t.channels=4}function b(t,e){var r=null;if(kt(e))r=t.images[0]=m(),l(r,t),f(r,e),t.mipmask=1;else if(u(t,e),Array.isArray(e.mipmap))for(var n=e.mipmap,i=0;i<n.length;++i)r=t.images[i]=m(),l(r,t),r.width>>=i,r.height>>=i,f(r,n[i]),t.mipmask|=1<<i;else 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r=0;r<32;++r)if(0!=(e.mipmask&1<<r))if(e.target===nr)t.texImage2D(nr,r,e.internalformat,e.width>>r,e.height>>r,0,e.internalformat,e.type,null);else for(var n=0;n<6;++n)t.texImage2D(ar+n,r,e.internalformat,e.width>>r,e.height>>r,0,e.internalformat,e.type,null);A(e.texInfo,e.target)})}var P={\"don't care\":$r,\"dont care\":$r,nice:en,fast:tn},O={repeat:Ur,clamp:Vr,mirror:Hr},R={nearest:Yr,linear:Wr},F=$t({mipmap:Kr,\"nearest mipmap nearest\":Xr,\"linear mipmap nearest\":Zr,\"nearest mipmap linear\":Jr,\"linear mipmap linear\":Kr},R),j={none:0,browser:ln},N={uint8:Or,rgba4:pr,rgb565:vr,\"rgb5 a1\":mr},B={alpha:sr,luminance:ur,\"luminance alpha\":cr,rgb:lr,rgba:or,rgba4:hr,\"rgb5 a1\":fr,rgb565:dr},U={};e.ext_srgb&&(B.srgb=xr,B.srgba=_r),e.oes_texture_float&&(N.float32=N.float=jr),e.oes_texture_half_float&&(N.float16=N[\"half float\"]=wr),e.webgl_depth_texture&&($t(B,{depth:yr,\"depth stencil\":br}),$t(N,{uint16:Rr,uint32:Fr,\"depth 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i=this.computedMatrix;m[0]=i[2],m[1]=i[6],m[2]=i[10];for(var a=this.computedUp,o=this.computedRight,s=this.computedToward,l=0;l<3;++l)i[4*l]=a[l],i[4*l+1]=o[l],i[4*l+2]=s[l];c(i,i,n,m);for(var l=0;l<3;++l)a[l]=i[4*l],o[l]=i[4*l+1];this.up.set(t,a[0],a[1],a[2]),this.right.set(t,o[0],o[1],o[2])}},p.pan=function(t,e,r,i){e=e||0,r=r||0,i=i||0,this.recalcMatrix(t);var a=this.computedMatrix,o=(Math.exp(this.computedRadius[0]),a[1]),s=a[5],l=a[9],u=n(o,s,l);o/=u,s/=u,l/=u;var c=a[0],h=a[4],f=a[8],d=c*o+h*s+f*l;c-=o*d,h-=s*d,f-=l*d;var p=n(c,h,f);c/=p,h/=p,f/=p;var m=c*e+o*r,v=h*e+s*r,g=f*e+l*r;this.center.move(t,m,v,g);var y=Math.exp(this.computedRadius[0]);y=Math.max(1e-4,y+i),this.radius.set(t,Math.log(y))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,a){var o=1;\"number\"==typeof r&&(o=0|r),(o<0||o>3)&&(o=1);var s=(o+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var l=e[o],c=e[o+4],h=e[o+8];if(a){var 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this._validate(t,this.minMonth,this.minDay,i.local.invalidYear||i.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);return t=n.year(),t<0&&t++,n.day()+30*(n.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),i.calendars.ethiopian=n},{\"../main\":581,\"object-assign\":470}],571:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function i(t,e){return t-e*Math.floor(t/e)}var a=t(\"../main\"),o=t(\"object-assign\");n.prototype=new a.baseCalendar,o(n.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom 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t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,a.local.invalidMonth),12===e&&this.leapYear(t)?30:8===e&&5===i(this.daysInYear(t),10)?30:9===e&&3===i(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var n=this._validate(t,e,r,a.local.invalidDate);return{yearType:(this.leapYear(n)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(n)%10-3]}},toJD:function(t,e,r){var n=this._validate(t,e,r,a.local.invalidDate);t=n.year(),e=n.month(),r=n.day();var i=t<=0?t+1:t,o=this.jdEpoch+this._delay1(i)+this._delay2(i)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(var s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(var s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return i(3*(n+1),7)<3&&n++,n},_delay2:function(t){var 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this._validate(t,this.minMonth,this.minDay,o.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,o.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if(t=t.split(\".\"),t.length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,o.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,o.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,o.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,o.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,o.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,o.local.invalidDate),!0},extraInfo:function(t,e,r){var n=this._validate(t,e,r,o.local.invalidDate),i=n.toJD(),a=this._toHaab(i),s=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[s[0]-1],tzolkinDay:s[0],tzolkinTrecena:s[1]}},_toHaab:function(t){t-=this.jdEpoch;var e=i(t+8+340,365);return[Math.floor(e/20)+1,i(e,20)]},_toTzolkin:function(t){return t-=this.jdEpoch,[a(t+20,20),a(t+4,13)]},toJD:function(t,e,r){var n=this._validate(t,e,r,o.local.invalidDate);return n.day()+20*n.month()+360*n.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),o.calendars.mayan=n},{\"../main\":581,\"object-assign\":470}],575:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\");n.prototype=new i.baseCalendar;var o=i.instance(\"gregorian\");a(n.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var 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i.baseCalendar,a(n.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,i.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);t=n.year(),e=n.month(),r=n.day();var a=i.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var u=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,\n",
       "s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(u)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(u,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=i.instance(),r=e.fromJD(t),n=r.year(),a=r.dayOfYear(),o=n+56;this._createMissingCalendarData(o);for(var s=9,l=this.NEPALI_CALENDAR_DATA[o][0],u=this.NEPALI_CALENDAR_DATA[o][s]-l+1;a>u;)s++,s>12&&(s=1,o++),u+=this.NEPALI_CALENDAR_DATA[o][s];var c=this.NEPALI_CALENDAR_DATA[o][s]-(u-a);return this.newDate(o,s,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 0===this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29,29,30,30],2077:[17,31,32,31,32,31,30,30,30,29,30,29,31],2078:[17,31,31,31,32,31,31,30,29,30,29,30,30],2079:[17,31,31,32,31,31,31,30,29,30,29,30,30],2080:[16,31,32,31,32,31,30,30,30,29,29,30,30],2081:[17,31,31,32,32,31,30,30,30,29,30,30,30],2082:[17,31,32,31,32,31,30,30,30,29,30,30,30],2083:[17,31,31,32,31,31,30,30,30,29,30,30,30],2084:[17,31,31,32,31,31,30,30,30,29,30,30,30],2085:[17,31,32,31,32,31,31,30,30,29,30,30,30],2086:[17,31,32,31,32,31,30,30,30,29,30,30,30],2087:[16,31,31,32,31,31,31,30,30,29,30,30,30],2088:[16,30,31,32,32,30,31,30,30,29,30,30,30],2089:[17,31,32,31,32,31,30,30,30,29,30,30,30],2090:[17,31,32,31,32,31,30,30,30,29,30,30,30],2091:[16,31,31,32,31,31,31,30,30,29,30,30,30],2092:[16,31,31,32,32,31,30,30,30,29,30,30,30],2093:[17,31,32,31,32,31,30,30,30,29,30,30,30],2094:[17,31,31,32,31,31,30,30,30,29,30,30,30],2095:[17,31,31,32,31,31,31,30,29,30,30,30,30],2096:[17,30,31,32,32,31,30,30,29,30,29,30,30],2097:[17,31,32,31,32,31,30,30,30,29,30,30,30],2098:[17,31,31,32,31,31,31,29,30,29,30,30,31],2099:[17,31,31,32,31,31,31,30,29,29,30,30,30],2100:[17,31,32,31,32,30,31,30,29,30,29,30,30]}}),i.calendars.nepali=n},{\"../main\":581,\"object-assign\":470}],577:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function i(t,e){return t-e*Math.floor(t/e)}var a=t(\"../main\"),o=t(\"object-assign\");n.prototype=new a.baseCalendar,o(n.prototype,{name:\"Persian\",jdEpoch:1948320.5,daysPerMonth:[31,31,31,31,31,31,30,30,30,30,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Persian\",epochs:[\"BP\",\"AP\"],monthNames:[\"Farvardin\",\"Ordibehesht\",\"Khordad\",\"Tir\",\"Mordad\",\"Shahrivar\",\"Mehr\",\"Aban\",\"Azar\",\"Day\",\"Bahman\",\"Esfand\"],monthNamesShort:[\"Far\",\"Ord\",\"Kho\",\"Tir\",\"Mor\",\"Sha\",\"Meh\",\"Aba\",\"Aza\",\"Day\",\"Bah\",\"Esf\"],dayNames:[\"Yekshambe\",\"Doshambe\",\"Seshambe\",\"Ch\\xe6harshambe\",\"Panjshambe\",\"Jom'e\",\"Shambe\"],dayNamesShort:[\"Yek\",\"Do\",\"Se\",\"Ch\\xe6\",\"Panj\",\"Jom\",\"Sha\"],dayNamesMin:[\"Ye\",\"Do\",\"Se\",\"Ch\",\"Pa\",\"Jo\",\"Sh\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,a.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,a.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var n=this._validate(t,e,r,a.local.invalidDate);t=n.year(),e=n.month(),r=n.day();var o=t-(t>=0?474:473),s=474+i(o,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(o/2820)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=t-this.toJD(475,1,1),r=Math.floor(e/1029983),n=i(e,1029983),a=2820;if(1029982!==n){var o=Math.floor(n/366),s=i(n,366);a=Math.floor((2134*o+2816*s+2815)/1028522)+o+1}var l=a+2820*r+474;l=l<=0?l-1:l;var u=t-this.toJD(l,1,1)+1,c=u<=186?Math.ceil(u/31):Math.ceil((u-6)/30),h=t-this.toJD(l,c,1)+1;return this.newDate(l,c,h)}}),a.calendars.persian=n,a.calendars.jalali=n},{\"../main\":581,\"object-assign\":470}],578:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\"),o=i.instance();n.prototype=new i.baseCalendar,a(n.prototype,{name:\"Taiwan\",jdEpoch:2419402.5,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),t=this._t2gYear(e.year());return o.leapYear(t)},weekOfYear:function(t,e,r){var n=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),t=this._t2gYear(n.year());return o.weekOfYear(t,n.month(),n.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate),t=this._t2gYear(n.year());return o.toJD(t,n.month(),n.day())},fromJD:function(t){var e=o.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),i.calendars.taiwan=n},{\"../main\":581,\"object-assign\":470}],579:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\"),o=i.instance();n.prototype=new i.baseCalendar,a(n.prototype,{name:\"Thai\",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),t=this._t2gYear(e.year());return o.leapYear(t)},weekOfYear:function(t,e,r){var n=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),t=this._t2gYear(n.year());return o.weekOfYear(t,n.month(),n.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate),t=this._t2gYear(n.year());return o.toJD(t,n.month(),n.day())},fromJD:function(t){var e=o.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),i.calendars.thai=n},{\"../main\":581,\"object-assign\":470}],580:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\");n.prototype=new i.baseCalendar,a(n.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear);return 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n(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function i(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function a(t,e){return t=\"\"+t,\"000000\".substring(0,e-t.length)+t}function o(){this.shortYearCutoff=\"+10\"}function s(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}var l=t(\"object-assign\");l(n.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance(),n.newDate(t,e,r)},substituteDigits:function(t){\n",
       "return function(e){return(e+\"\").replace(/[0-9]/g,function(e){return t[e]})}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),l(i.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+a(Math.abs(this.year()),4)+\"-\"+a(this.month(),2)+\"-\"+a(this.day(),2)}}),l(o.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new i(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+a(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return 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o=i[e];o.anchor&&\"free\"!==o.anchor&&(o.anchor=f.cleanId(o.anchor)),o.overlaying&&(o.overlaying=f.cleanId(o.overlaying)),o.type||(o.isdate?o.type=\"date\":o.islog?o.type=\"log\":!1===o.isdate&&!1===o.islog&&(o.type=\"linear\")),\"withzero\"!==o.autorange&&\"tozero\"!==o.autorange||(o.autorange=!0,o.rangemode=\"tozero\"),delete o.islog,delete o.isdate,delete o.categories,a(o,\"domain\")&&delete o.domain,void 0!==o.autotick&&(void 0===o.tickmode&&(o.tickmode=o.autotick?\"auto\":\"linear\"),delete o.autotick)}var s=Array.isArray(t.annotations)?t.annotations.length:0;for(e=0;e<s;e++){var u=t.annotations[e];c.isPlainObject(u)&&(u.ref&&(\"paper\"===u.ref?(u.xref=\"paper\",u.yref=\"paper\"):\"data\"===u.ref&&(u.xref=\"x\",u.yref=\"y\"),delete u.ref),n(u,\"xref\"),n(u,\"yref\"))}var p=Array.isArray(t.shapes)?t.shapes.length:0;for(e=0;e<p;e++){var m=t.shapes[e];c.isPlainObject(m)&&(n(m,\"xref\"),n(m,\"yref\"))}var v=t.legend;v&&(v.x>3?(v.x=1.02,v.xanchor=\"left\"):v.x<-2&&(v.x=-.02,v.xanchor=\"right\"),v.y>3?(v.y=1.02,v.yanchor=\"bottom\"):v.y<-2&&(v.y=-.02,v.yanchor=\"top\")),\"rotate\"===t.dragmode&&(t.dragmode=\"orbit\"),t.scene1&&(t.scene||(t.scene=t.scene1),delete t.scene1);var g=h.getSubplotIds(t,\"gl3d\");for(e=0;e<g.length;e++){var y=t[g[e]],b=y.cameraposition;if(Array.isArray(b)&&4===b[0].length){var x=b[0],_=b[1],w=b[2],M=l([],x),k=[];for(r=0;r<3;++r)k[r]=_[e]+w*M[2+4*r];y.camera={eye:{x:k[0],y:k[1],z:k[2]},center:{x:_[0],y:_[1],z:_[2]},up:{x:M[1],y:M[5],z:M[9]}},delete y.cameraposition}}return d.clean(t),t},r.cleanData=function(t,e){for(var n=[],o=(t.concat(Array.isArray(e)?e:[]).filter(function(t){return\"uid\"in t}).map(function(t){return t.uid})),s=0;s<t.length;s++){var l,p=t[s];if(!(\"uid\"in p)||-1!==n.indexOf(p.uid)){var m;for(l=0;l<100&&(m=c.randstr(o),-1!==n.indexOf(m));l++);p.uid=c.randstr(o),o.push(p.uid)}if(n.push(p.uid),\"histogramy\"===p.type&&\"xbins\"in p&&!(\"ybins\"in p)&&(p.ybins=p.xbins,delete p.xbins),p.error_y&&\"opacity\"in p.error_y){var v=d.defaults,g=p.error_y.color||(u.traceIs(p,\"bar\")?d.defaultLine:v[s%v.length]);p.error_y.color=d.addOpacity(d.rgb(g),d.opacity(g)*p.error_y.opacity),delete p.error_y.opacity}if(\"bardir\"in p&&(\"h\"!==p.bardir||!u.traceIs(p,\"bar\")&&\"histogram\"!==p.type.substr(0,9)||(p.orientation=\"h\",r.swapXYData(p)),delete p.bardir),\"histogramy\"===p.type&&r.swapXYData(p),\"histogramx\"!==p.type&&\"histogramy\"!==p.type||(p.type=\"histogram\"),\"scl\"in p&&(p.colorscale=p.scl,delete p.scl),\"reversescl\"in p&&(p.reversescale=p.reversescl,delete p.reversescl),p.xaxis&&(p.xaxis=f.cleanId(p.xaxis,\"x\")),p.yaxis&&(p.yaxis=f.cleanId(p.yaxis,\"y\")),u.traceIs(p,\"gl3d\")&&p.scene&&(p.scene=h.subplotsRegistry.gl3d.cleanId(p.scene)),u.traceIs(p,\"pie\")||u.traceIs(p,\"bar\")||(Array.isArray(p.textposition)?p.textposition=p.textposition.map(i):p.textposition&&(p.textposition=i(p.textposition))),u.traceIs(p,\"2dMap\")&&(\"YIGnBu\"===p.colorscale&&(p.colorscale=\"YlGnBu\"),\"YIOrRd\"===p.colorscale&&(p.colorscale=\"YlOrRd\")),u.traceIs(p,\"markerColorscale\")&&p.marker){var y=p.marker;\"YIGnBu\"===y.colorscale&&(y.colorscale=\"YlGnBu\"),\"YIOrRd\"===y.colorscale&&(y.colorscale=\"YlOrRd\")}if(\"surface\"===p.type&&c.isPlainObject(p.contours)){var b=[\"x\",\"y\",\"z\"];for(l=0;l<b.length;l++){var x=p.contours[b[l]];c.isPlainObject(x)&&(x.highlightColor&&(x.highlightcolor=x.highlightColor,delete x.highlightColor),x.highlightWidth&&(x.highlightwidth=x.highlightWidth,delete x.highlightWidth))}}if(Array.isArray(p.transforms)){var _=p.transforms;for(l=0;l<_.length;l++){var w=_[l];if(c.isPlainObject(w))switch(w.type){case\"filter\":w.filtersrc&&(w.target=w.filtersrc,delete w.filtersrc),w.calendar&&(w.valuecalendar||(w.valuecalendar=w.calendar),delete w.calendar);break;case\"groupby\":if(w.styles=w.styles||w.style,w.styles&&!Array.isArray(w.styles)){var M=w.styles,k=Object.keys(M);w.styles=[];for(var A=0;A<k.length;A++)w.styles.push({target:k[A],value:M[k[A]]})}}}}a(p,\"line\")&&delete p.line,\"marker\"in p&&(a(p.marker,\"line\")&&delete p.marker.line,a(p,\"marker\")&&delete p.marker),d.clean(p)}},r.swapXYData=function(t){var e;if(c.swapAttrs(t,[\"?\",\"?0\",\"d?\",\"?bins\",\"nbins?\",\"autobin?\",\"?src\",\"error_?\"]),Array.isArray(t.z)&&Array.isArray(t.z[0])&&(t.transpose?delete t.transpose:t.transpose=!0),t.error_x&&t.error_y){var r=t.error_y,n=\"copy_ystyle\"in r?r.copy_ystyle:!(r.color||r.thickness||r.width);c.swapAttrs(t,[\"error_?.copy_ystyle\"]),n&&c.swapAttrs(t,[\"error_?.color\",\"error_?.thickness\",\"error_?.width\"])}if(\"string\"==typeof t.hoverinfo){var i=t.hoverinfo.split(\"+\");for(e=0;e<i.length;e++)\"x\"===i[e]?i[e]=\"y\":\"y\"===i[e]&&(i[e]=\"x\");t.hoverinfo=i.join(\"+\")}},r.coerceTraceIndices=function(t,e){return s(e)?[e]:Array.isArray(e)&&e.length?e:t.data.map(function(t,e){return e})},r.manageArrayContainers=function(t,e,r){var n=t.obj,i=t.parts,a=i.length,o=i[a-1],l=s(o);if(l&&null===e){var u=i.slice(0,a-1).join(\".\");c.nestedProperty(n,u).get().splice(o,1)}else l&&void 0===t.get()?(void 0===t.get()&&(r[t.astr]=null),t.set(e)):t.set(e)};var p=/(\\.[^\\[\\]\\.]+|\\[[^\\[\\]\\.]+\\])$/;r.hasParent=function(t,e){for(var r=o(e);r;){if(r in t)return!0;r=o(r)}return!1};var m=[\"x\",\"y\",\"z\"];r.clearAxisTypes=function(t,e,r){for(var n=0;n<e.length;n++)for(var i=t._fullData[n],a=0;a<3;a++){var o=f.getFromTrace(t,i,m[a]);if(o&&\"log\"!==o.type){var s=o._name,l=o._id.substr(1);if(\"scene\"===l.substr(0,5)){if(void 0!==r[l])continue;s=l+\".\"+s}var u=s+\".type\";void 0===r[s]&&void 0===r[u]&&c.nestedProperty(t.layout,u).set(null)}}}},{\"../components/color\":604,\"../lib\":728,\"../plots/cartesian/axes\":772,\"../plots/plots\":831,\"../registry\":846,\"fast-isnumeric\":131,\"gl-mat4/fromQuat\":178}],758:[function(t,e,r){\"use strict\";var n=t(\"../lib/nested_property\"),i=t(\"../lib/is_plain_object\"),a=t(\"../lib/noop\"),o=t(\"../lib/loggers\"),s=t(\"../lib/search\").sorterAsc,l=t(\"../registry\");r.containerArrayMatch=t(\"./container_array_match\");var u=r.isAddVal=function(t){return\"add\"===t||i(t)},c=r.isRemoveVal=function(t){return null===t||\"remove\"===t};r.applyContainerArrayChanges=function(t,e,r,i){var h=e.astr,f=l.getComponentMethod(h,\"supplyLayoutDefaults\"),d=l.getComponentMethod(h,\"draw\"),p=l.getComponentMethod(h,\"drawOne\"),m=i.replot||i.recalc||f===a||d===a,v=t.layout,g=t._fullLayout;if(r[\"\"]){Object.keys(r).length>1&&o.warn(\"Full array edits are incompatible with other edits\",h);var y=r[\"\"][\"\"];if(c(y))e.set(null);else{if(!Array.isArray(y))return o.warn(\"Unrecognized full array edit value\",h,y),!0;e.set(y)}return!m&&(f(v,g),d(t),!0)}var b,x,_,w,M,k,A,T=Object.keys(r).map(Number).sort(s),S=e.get(),E=S||[],L=n(g,h).get(),C=[],I=-1,z=E.length;for(b=0;b<T.length;b++)if(_=T[b],w=r[_],M=Object.keys(w),k=w[\"\"],A=u(k),_<0||_>E.length-(A?0:1))o.warn(\"index out of range\",h,_);else if(void 0!==k)M.length>1&&o.warn(\"Insertion & removal are incompatible with edits to the same index.\",h,_),c(k)?C.push(_):A?(\"add\"===k&&(k={}),E.splice(_,0,k),L&&L.splice(_,0,{})):o.warn(\"Unrecognized full object edit value\",h,_,k),-1===I&&(I=_);else for(x=0;x<M.length;x++)n(E[_],M[x]).set(w[M[x]]);for(b=C.length-1;b>=0;b--)E.splice(C[b],1),L&&L.splice(C[b],1);if(E.length?S||e.set(E):e.set(null),m)return!1;if(f(v,g),p!==a){var D;if(-1===I)D=T;else{for(z=Math.max(E.length,z),D=[],b=0;b<T.length&&!((_=T[b])>=I);b++)D.push(_);for(b=I;b<z;b++)D.push(b)}for(b=0;b<D.length;b++)p(t,D[b])}else d(t);return!0}},{\"../lib/is_plain_object\":730,\"../lib/loggers\":732,\"../lib/nested_property\":735,\"../lib/noop\":736,\"../lib/search\":745,\"../registry\":846,\"./container_array_match\":755}],759:[function(t,e,r){\"use strict\";function n(t,e){try{t._fullLayout._paper.style(\"background\",e)}catch(t){w.error(t)}}function i(t,e){n(t,I.combine(e,\"white\"))}function a(t,e){t._context||(t._context=w.extendDeep({},_.defaultConfig));var r,a,o,s=t._context;if(e){for(a=Object.keys(e),r=0;r<a.length;r++)\"editable\"!==(o=a[r])&&\"edits\"!==o&&o in s&&(\"setBackground\"===o&&\"opaque\"===e[o]?s[o]=i:s[o]=e[o]);e.plot3dPixelRatio&&!s.plotGlPixelRatio&&(s.plotGlPixelRatio=s.plot3dPixelRatio);var l=e.editable;if(void 0!==l)for(s.editable=l,a=Object.keys(s.edits),r=0;r<a.length;r++)s.edits[a[r]]=l;if(e.edits)for(a=Object.keys(e.edits),r=0;r<a.length;r++)(o=a[r])in s.edits&&(s.edits[o]=e.edits[o])}s.staticPlot&&(s.editable=!1,s.edits={},s.autosizable=!1,s.scrollZoom=!1,s.doubleClick=!1,s.showTips=!1,s.showLink=!1,s.displayModeBar=!1),\"hover\"!==s.displayModeBar||x||(s.displayModeBar=!0),\"transparent\"!==s.setBackground&&\"function\"==typeof s.setBackground||(s.setBackground=n)}function o(t,e,r){var n=y.select(t).selectAll(\".plot-container\").data([0]);n.enter().insert(\"div\",\":first-child\").classed(\"plot-container plotly\",!0);var i=n.selectAll(\".svg-container\").data([0]);i.enter().append(\"div\").classed(\"svg-container\",!0).style(\"position\",\"relative\"),i.html(\"\"),e&&(t.data=e),r&&(t.layout=r),E.manager.fillLayout(t),i.style({width:t._fullLayout.width+\"px\",height:t._fullLayout.height+\"px\"}),t.framework=E.manager.framework(t),t.framework({data:t.data,layout:t.layout},i.node()),t.framework.setUndoPoint();var a=t.framework.svg(),o=1,s=t._fullLayout.title;\"\"!==s&&s||(o=0);var l=function(){this.call(P.convertToTspans,t)},u=a.select(\".title-group text\").call(l);if(t._context.edits.titleText){s&&\"Click to enter title\"!==s||(o=.2,u.attr({\"data-unformatted\":\"Click to enter title\"}).text(\"Click to enter title\").style({opacity:o}).on(\"mouseover.opacity\",function(){y.select(this).transition().duration(100).style(\"opacity\",1)}).on(\"mouseout.opacity\",function(){y.select(this).transition().duration(1e3).style(\"opacity\",0)}));var c=function(){this.call(P.makeEditable,{gd:t}).on(\"edit\",function(e){t.framework({layout:{title:e}}),this.text(e).call(l),this.call(c)}).on(\"cancel\",function(){var t=this.attr(\"data-unformatted\");this.text(t).call(l)})};u.call(c)}return t._context.setBackground(t,t._fullLayout.paper_bgcolor),S.addLinks(t),Promise.resolve()}function s(t,e){var r,n,i=e+1,a=[];for(r=0;r<t.length;r++)n=t[r],n<0?a.push(i+n):a.push(n);return a}function l(t,e,r){var n,i;for(n=0;n<e.length;n++){if((i=e[n])!==parseInt(i,10))throw new Error(\"all values in \"+r+\" must be integers\");if(i>=t.data.length||i<-t.data.length)throw new Error(r+\" must be valid indices for gd.data.\");if(e.indexOf(i,n+1)>-1||i>=0&&e.indexOf(-t.data.length+i)>-1||i<0&&e.indexOf(t.data.length+i)>-1)throw new Error(\"each index in \"+r+\" must be unique.\")}}function u(t,e,r){if(!Array.isArray(t.data))throw new Error(\"gd.data must be an array.\");if(void 0===e)throw new Error(\"currentIndices is a required argument.\");if(Array.isArray(e)||(e=[e]),l(t,e,\"currentIndices\"),void 0===r||Array.isArray(r)||(r=[r]),void 0!==r&&l(t,r,\"newIndices\"),void 0!==r&&e.length!==r.length)throw new Error(\"current and new indices must be of equal length.\")}function c(t,e,r){var n,i;if(!Array.isArray(t.data))throw new Error(\"gd.data must be an array.\");if(void 0===e)throw new Error(\"traces must be defined.\");for(Array.isArray(e)||(e=[e]),n=0;n<e.length;n++)if(\"object\"!=typeof(i=e[n])||Array.isArray(i)||null===i)throw new Error(\"all values in traces array must be non-array objects\");if(void 0===r||Array.isArray(r)||(r=[r]),void 0!==r&&r.length!==e.length)throw new Error(\"if indices is specified, traces.length must equal indices.length\")}function h(t,e,r,n){var i=w.isPlainObject(n);if(!Array.isArray(t.data))throw new Error(\"gd.data must be an array\");if(!w.isPlainObject(e))throw new Error(\"update must be a key:value object\");if(void 0===r)throw new Error(\"indices must be an integer or array of integers\");l(t,r,\"indices\");for(var a in e){if(!Array.isArray(e[a])||e[a].length!==r.length)throw new Error(\"attribute \"+a+\" must be an array of length equal to indices array length\");if(i&&(!(a in n)||!Array.isArray(n[a])||n[a].length!==e[a].length))throw new Error(\"when maxPoints is set as a key:value object it must contain a 1:1 corrispondence with the keys and number of traces in the update object\")}}function f(t,e,r,n){var i,a,o,l,u,c=w.isPlainObject(n),h=[];Array.isArray(r)||(r=[r]),r=s(r,t.data.length-1);for(var f in e)for(var d=0;d<r.length;d++){if(i=t.data[r[d]],o=w.nestedProperty(i,f),a=o.get(),l=e[f][d],!Array.isArray(l))throw new Error(\"attribute: \"+f+\" index: \"+d+\" must be an array\");if(!Array.isArray(a))throw new Error(\"cannot extend missing or non-array attribute: \"+f);u=c?n[f][d]:n,b(u)||(u=-1),h.push({prop:o,target:a,insert:l,maxp:Math.floor(u)})}return h}function d(t,e,r,n,i,a){h(t,e,r,n);for(var o,s,l,u=f(t,e,r,n),c=[],d={},p={},m=0;m<u.length;m++)s=u[m].prop,l=u[m].maxp,o=i(u[m].target,u[m].insert),l>=0&&l<o.length&&(c=a(o,l)),l=u[m].target.length,s.set(o),Array.isArray(d[s.astr])||(d[s.astr]=[]),Array.isArray(p[s.astr])||(p[s.astr]=[]),d[s.astr].push(c),p[s.astr].push(l);return{update:d,maxPoints:p}}function p(t){return void 0===t?null:t}function m(t,e,r){function n(){return r.map(function(){})}function i(t){var e=_.Axes.id2name(t);-1===u.indexOf(e)&&u.push(e)}function a(t){return\"LAYOUT\"+t+\".autorange\"}function o(t){return\"LAYOUT\"+t+\".range\"}function s(i,a,o){if(Array.isArray(i))return void i.forEach(function(t){s(t,a,o)});if(!(i in e||R.hasParent(e,i))){var l;l=\"LAYOUT\"===i.substr(0,6)?w.nestedProperty(t.layout,i.replace(\"LAYOUT\",\"\")):w.nestedProperty(f[r[o]],i),i in v||(v[i]=n()),void 0===v[i][o]&&(v[i][o]=p(l.get())),void 0!==a&&l.set(a)}}var l,u,c=t._fullLayout,h=t._fullData,f=t.data,d=j.traceFlags(),m={},v={},g={};for(var y in e){if(R.hasParent(e,y))throw 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n,i,a,o,s=V.getFromId(t,e),l=w.select(t).selectAll(\"g.\"+e+\"tick\"),u={selection:l,side:s.side},h=e.charAt(0),f=t._fullLayout._size,d=s.titlefont.size;if(l.size()){var p=L.getTranslate(l.node().parentNode);u.offsetLeft=p.x,u.offsetTop=p.y}var 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names\":\"countries\"},r.sphereSVG={type:\"Sphere\"},r.fillLayers={ocean:1,land:1,lakes:1},r.lineLayers={subunits:1,countries:1,coastlines:1,rivers:1,frame:1},r.layers=[\"bg\",\"ocean\",\"land\",\"lakes\",\"subunits\",\"countries\",\"coastlines\",\"rivers\",\"lataxis\",\"lonaxis\",\"frame\",\"backplot\",\"frontplot\"],r.layersForChoropleth=[\"bg\",\"ocean\",\"land\",\"subunits\",\"countries\",\"coastlines\",\"lataxis\",\"lonaxis\",\"frame\",\"backplot\",\"rivers\",\"lakes\",\"frontplot\"],r.layerNameToAdjective={ocean:\"ocean\",land:\"land\",lakes:\"lake\",subunits:\"subunit\",countries:\"country\",coastlines:\"coastline\",rivers:\"river\",frame:\"frame\"}},{}],799:[function(t,e,r){\"use strict\";function 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h=e._isScoped=\"world\"!==o,f=e._isConic=-1!==u.indexOf(\"conic\");e._isClipped=!!a.lonaxisSpan[u];for(var d=0;d<s.length;d++){var p,m=s[d],v=[30,10][d];if(h)p=l[m+\"Range\"];else{var g=a[m+\"Span\"],y=(g[u]||g[\"*\"])/2,b=r(\"projection.rotation.\"+m.substr(0,3),l.projRotate[d]);p=[b-y,b+y]}r(m+\".tick0\",r(m+\".range\",p)[0]),r(m+\".dtick\",v),n=r(m+\".showgrid\"),n&&(r(m+\".gridcolor\"),r(m+\".gridwidth\"))}var x=e.lonaxis.range,_=e.lataxis.range,w=x[0],M=x[1];w>0&&M<0&&(M+=360);var k,A=(w+M)/2;if(!c){var T=h?l.projRotate:[A,0,0];k=r(\"projection.rotation.lon\",T[0]),r(\"projection.rotation.lat\",T[1]),r(\"projection.rotation.roll\",T[2]),n=r(\"showcoastlines\",!h),n&&(r(\"coastlinecolor\"),r(\"coastlinewidth\")),n=r(\"showocean\"),n&&r(\"oceancolor\")}var 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r=t[0],n=t[1],i=t[2],a=t[3],o=e[0],s=e[1],l=e[2],u=e[3];return[r*o-n*s-i*l-a*u,r*s+n*o+i*u-a*l,r*l-n*u+i*o+a*s,r*u+n*l-i*s+a*o]}function f(t,e){if(t&&e){var r=x(t,e),n=Math.sqrt(b(r,r)),i=.5*Math.acos(Math.max(-1,Math.min(1,b(t,e)))),a=Math.sin(i)/n;return n&&[Math.cos(i),r[2]*a,-r[1]*a,r[0]*a]}}function d(t,e,r){var n=v(e,2,t[0]);n=v(n,1,t[1]),n=v(n,0,t[2]-r[2]);var i,a,o=e[0],s=e[1],l=e[2],u=n[0],c=n[1],h=n[2],f=Math.atan2(s,o)*A,d=Math.sqrt(o*o+s*s);Math.abs(c)>d?(a=(c>0?90:-90)-f,i=0):(a=Math.asin(c/d)*A-f,i=Math.sqrt(d*d-c*c));var m=180-a-2*f,g=(Math.atan2(h,u)-Math.atan2(l,i))*A,y=(Math.atan2(h,u)-Math.atan2(l,-i))*A;return p(r[0],r[1],a,g)<=p(r[0],r[1],m,y)?[a,g,r[2]]:[m,y,r[2]]}function p(t,e,r,n){var i=m(r-t),a=m(n-e);return Math.sqrt(i*i+a*a)}function m(t){return(t%360+540)%360-180}function v(t,e,r){var n=r*k,i=t.slice(),a=0===e?1:0,o=2===e?1:2,s=Math.cos(n),l=Math.sin(n);return i[a]=t[a]*s-t[o]*l,i[o]=t[o]*s+t[a]*l,i}function 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n(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}function i(t){function e(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function r(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}function i(n,i,a){function o(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(f[e]=i,f[e+2]=a,h.dataBox=f,t.setRanges(f)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}var s,u,f=t.calcDataBox(),d=c.viewBox,p=h.lastPos[0],m=h.lastPos[1],v=l.MINDRAG*c.pixelRatio,g=l.MINZOOM*c.pixelRatio;switch(i*=c.pixelRatio,a*=c.pixelRatio,a=d[3]-d[1]-a,t.fullLayout.dragmode){case\"zoom\":if(n){var y=i/(d[2]-d[0])*(f[2]-f[0])+f[0],b=a/(d[3]-d[1])*(f[3]-f[1])+f[1];h.boxInited||(h.boxStart[0]=y,h.boxStart[1]=b,h.dragStart[0]=i,h.dragStart[1]=a),h.boxEnd[0]=y,h.boxEnd[1]=b,h.boxInited=!0,h.boxEnabled||h.boxStart[0]===h.boxEnd[0]&&h.boxStart[1]===h.boxEnd[1]||(h.boxEnabled=!0);var x=Math.abs(h.dragStart[0]-i)<g,_=Math.abs(h.dragStart[1]-a)<g;if(!r()||x&&_)x&&(h.boxEnd[0]=h.boxStart[0]),_&&(h.boxEnd[1]=h.boxStart[1]);else{s=h.boxEnd[0]-h.boxStart[0],u=h.boxEnd[1]-h.boxStart[1];var 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h.boxEnabled?(s=h.boxStart[0]!==h.boxEnd[0],u=h.boxStart[1]!==h.boxEnd[1],s||u?(s&&(o(0,h.boxStart[0],h.boxEnd[0]),t.xaxis.autorange=!1),u&&(o(1,h.boxStart[1],h.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),h.boxEnabled=!1,h.boxInited=!1):h.boxInited&&(h.boxInited=!1);break;case\"pan\":h.boxEnabled=!1,h.boxInited=!1,n?(h.panning||(h.dragStart[0]=i,h.dragStart[1]=a),Math.abs(h.dragStart[0]-i)<v&&(i=h.dragStart[0]),Math.abs(h.dragStart[1]-a)<v&&(a=h.dragStart[1]),s=(p-i)*(f[2]-f[0])/(c.viewBox[2]-c.viewBox[0]),u=(m-a)*(f[3]-f[1])/(c.viewBox[3]-c.viewBox[1]),f[0]+=s,f[2]+=s,f[1]+=u,f[3]+=u,t.setRanges(f),h.panning=!0,h.lastInputTime=Date.now(),e(),t.cameraChanged(),t.handleAnnotations()):h.panning&&(h.panning=!1,t.relayoutCallback())}h.lastPos[0]=i,h.lastPos[1]=a}var u=t.mouseContainer,c=t.glplot,h=new n(u,c);return h.mouseListener=a(u,i),u.addEventListener(\"touchstart\",function(t){var e=s(t.changedTouches[0],u);i(0,e[0],e[1]),i(1,e[0],e[1])}),u.addEventListener(\"touchmove\",function(t){t.preventDefault();var e=s(t.changedTouches[0],u);i(1,e[0],e[1])}),u.addEventListener(\"touchend\",function(){i(0,h.lastPos[0],h.lastPos[1])}),h.wheelListener=o(u,function(r,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=c.viewBox,o=h.lastPos[0],s=h.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),u=o/(a[2]-a[0])*(i[2]-i[0])+i[0],f=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-u)*l+u,i[2]=(i[2]-u)*l+u,i[1]=(i[1]-f)*l+f,i[3]=(i[3]-f)*l+f,t.setRanges(i),h.lastInputTime=Date.now(),e(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),h}var a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"../cartesian/constants\");e.exports=i},{\"../cartesian/constants\":777,\"mouse-change\":452,\"mouse-event-offset\":453,\"mouse-wheel\":455}],807:[function(t,e,r){\"use strict\";function n(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}function i(t){return new n(t)}var a=t(\"../plots\"),o=t(\"../cartesian/axes\"),s=t(\"../../lib/html2unicode\"),l=t(\"../../lib/str2rgbarray\"),u=n.prototype,c=[\"xaxis\",\"yaxis\"];u.merge=function(t){this.titleEnable=!1,this.backgroundColor=l(t.plot_bgcolor);var e,r,n,i,a,o,u,h,f,d,p;for(d=0;d<2;++d){for(e=c[d],r=t[this.scene[e]._name],n=/Click to enter .+ title/.test(r.title)?\"\":r.title,p=0;p<=2;p+=2)this.labelEnable[d+p]=!1,this.labels[d+p]=s(n),this.labelColor[d+p]=l(r.titlefont.color),this.labelFont[d+p]=r.titlefont.family,this.labelSize[d+p]=r.titlefont.size,this.labelPad[d+p]=this.getLabelPad(e,r),this.tickEnable[d+p]=!1,this.tickColor[d+p]=l((r.tickfont||{}).color),this.tickAngle[d+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[d+p]=this.getTickPad(r),this.tickMarkLength[d+p]=0,this.tickMarkWidth[d+p]=r.tickwidth||0,this.tickMarkColor[d+p]=l(r.tickcolor),this.borderLineEnable[d+p]=!1,this.borderLineColor[d+p]=l(r.linecolor),this.borderLineWidth[d+p]=r.linewidth||0;u=this.hasSharedAxis(r),a=this.hasAxisInDfltPos(e,r)&&!u,o=this.hasAxisInAltrPos(e,r)&&!u,i=r.mirror||!1,h=u?-1!==String(i).indexOf(\"all\"):!!i,f=u?\"allticks\"===i:-1!==String(i).indexOf(\"ticks\"),a?this.labelEnable[d]=!0:o&&(this.labelEnable[d+2]=!0),a?this.tickEnable[d]=r.showticklabels:o&&(this.tickEnable[d+2]=r.showticklabels),(a||h)&&(this.borderLineEnable[d]=r.showline),(o||h)&&(this.borderLineEnable[d+2]=r.showline),(a||f)&&(this.tickMarkLength[d]=this.getTickMarkLength(r)),(o||f)&&(this.tickMarkLength[d+2]=this.getTickMarkLength(r)),this.gridLineEnable[d]=r.showgrid,this.gridLineColor[d]=l(r.gridcolor),this.gridLineWidth[d]=r.gridwidth,this.zeroLineEnable[d]=r.zeroline,this.zeroLineColor[d]=l(r.zerolinecolor),this.zeroLineWidth[d]=r.zerolinewidth}},u.hasSharedAxis=function(t){var e=this.scene,r=a.getSubplotIds(e.fullLayout,\"gl2d\");return 0!==o.findSubplotsWithAxis(r,t).indexOf(e.id)},u.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},u.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},u.getLabelPad=function(t,e){var r=e.titlefont.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},u.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},u.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=i},{\n",
       "\"../../lib/html2unicode\":726,\"../../lib/str2rgbarray\":749,\"../cartesian/axes\":772,\"../plots\":831}],808:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"./scene2d\"),a=t(\"../plots\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),u=t(\"../../components/fx/layout_attributes\");r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.layoutAttributes.plot_bgcolor,hoverlabel:u.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=a.getSubplotIds(e,\"gl2d\"),o=0;o<n.length;o++){var s=n[o],l=e._plots[s],u=a.getSubplotData(r,\"gl2d\",s),c=l._scene2d;void 0===c&&(c=new i({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),l._scene2d=c),c.plot(u,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=a.getSubplotIds(n,\"gl2d\"),o=0;o<i.length;o++){var s=i[o],u=n._plots[s];if(u._scene2d){0===a.getSubplotData(t,\"gl2d\",s).length&&(u._scene2d.destroy(),delete n._plots[s])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=a.getSubplotIds(e,\"gl2d\"),n=0;n<r.length;n++){var i=e._plots[r[n]],s=i._scene2d,l=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":l,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),s.destroy()}},r.updateFx=function(t){for(var e=a.getSubplotIds(t,\"gl2d\"),r=0;r<e.length;r++){t._plots[e[r]]._scene2d.updateFx(t.dragmode)}}},{\"../../components/fx/layout_attributes\":646,\"../../constants/xmlns_namespaces\":709,\"../../plot_api/edit_types\":756,\"../cartesian\":782,\"../cartesian/attributes\":771,\"../cartesian/constants\":777,\"../plots\":831,\"./scene2d\":809}],809:[function(t,e,r){\"use strict\";function n(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context.scrollZoom,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.glplotOptions=p(this),this.glplotOptions.merge(e),this.glplot=c(this.glplotOptions),this.camera=m(this),this.traces={},this.spikes=h(this.glplot),this.selectBox=f(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.bounds=[1/0,1/0,-1/0,-1/0],this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw()}function i(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1}var a,o,s=t(\"../../registry\"),l=t(\"../../plots/cartesian/axes\"),u=t(\"../../components/fx\"),c=t(\"gl-plot2d\"),h=t(\"gl-spikes2d\"),f=t(\"gl-select-box\"),d=t(\"webgl-context\"),p=t(\"./convert\"),m=t(\"./camera\"),v=t(\"../../lib/html2unicode\"),g=t(\"../../lib/show_no_webgl_msg\"),y=t(\"../../plots/cartesian/constraints\"),b=y.enforce,x=y.clean,_=[\"xaxis\",\"yaxis\"];e.exports=n;var w=n.prototype;w.makeFramework=function(){if(this.staticPlot){if(!(o||(a=document.createElement(\"canvas\"),o=d({canvas:a,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=a,this.gl=o}else{var t=document.createElement(\"canvas\"),e=d({canvas:t,premultipliedAlpha:!0});e||g(this),this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r),r.className+=\"user-select-none\";var n=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");n.style.position=\"absolute\",n.style.top=n.style.left=\"0px\",n.style.width=n.style.height=\"100%\",n.style[\"z-index\"]=20,n.style[\"pointer-events\"]=\"none\";var i=this.mouseContainer=document.createElement(\"div\");i.style.position=\"absolute\",i.style[\"pointer-events\"]=\"auto\";var s=this.container;s.appendChild(r),s.appendChild(n),s.appendChild(i);var l=this;i.addEventListener(\"mouseout\",function(){l.isMouseOver=!1,l.unhover()}),i.addEventListener(\"mouseover\",function(){l.isMouseOver=!0})},w.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(a),this.updateSize(this.canvas),this.glplot.setDirty(),this.glplot.draw();var e=this.glplot.gl,r=e.drawingBufferWidth,n=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var i=new Uint8Array(r*n*4);e.readPixels(0,0,r,n,e.RGBA,e.UNSIGNED_BYTE,i);for(var o=0,s=n-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=i[4*(r*o+l)+u];i[4*(r*o+l)+u]=i[4*(r*s+l)+u],i[4*(r*s+l)+u]=c}var h=document.createElement(\"canvas\");h.width=r,h.height=n;var f=h.getContext(\"2d\"),d=f.createImageData(r,n);d.data.set(i),f.putImageData(d,0,0);var p;switch(t){case\"jpeg\":p=h.toDataURL(\"image/jpeg\");break;case\"webp\":p=h.toDataURL(\"image/webp\");break;default:p=h.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(a),p},w.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),this.redraw&&this.redraw(),t},w.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[l.calcTicks(this.xaxis),l.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=v(t[e][r].text+\"\");return t},w.updateRefs=function(t){this.fullLayout=t;var e=l.subplotMatch,r=\"xaxis\"+this.id.match(e)[1],n=\"yaxis\"+this.id.match(e)[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},w.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout;n.xaxis.autorange=e.autorange,n.xaxis.range=e.range.slice(0),n.yaxis.autorange=r.autorange,n.yaxis.range=r.range.slice(0);var i={lastInputTime:this.camera.lastInputTime};i[e._name]=e.range.slice(0),i[r._name]=r.range.slice(0),t.emit(\"plotly_relayout\",i)},w.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();i(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},w.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&s.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},w.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map(function(e){t[e].dispose(),delete t[e]}),this.glplot.dispose(),this.staticPlot||this.container.removeChild(this.canvas),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},w.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis}};x(s,this.xaxis),x(s,this.yaxis);var u=r._size,c=this.xaxis.domain,h=this.yaxis.domain;o.viewBox=[u.l+c[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-c[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(c[1]-c[0])+\"px\",this.mouseContainer.style.height=u.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=u.h*(h[1]-h[0]),this.mouseContainer.style.left=u.l+c[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+\"px\";var f=this.bounds;f[0]=f[1]=1/0,f[2]=f[3]=-1/0;var d,p,m=Object.keys(this.traces);for(p=0;p<m.length;++p)for(var v=this.traces[m[p]],g=0;g<2;++g)f[g]=Math.min(f[g],v.bounds[g]),f[g+2]=Math.max(f[g+2],v.bounds[g+2]);for(p=0;p<2;++p)f[p]>f[p+2]&&(f[p]=-1,f[p+2]=1),d=this[_[p]],d._length=o.viewBox[p+2]-o.viewBox[p],l.doAutoRange(d),d.setScale();b(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},w.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},w.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},w.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if(i=t[n],i.uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort(function(t,e){return t._trace.index-e._trace.index})},w.updateFx=function(t){this.mouseContainer.style[\"pointer-events\"]=\"lasso\"===t||\"select\"===t?\"none\":\"auto\",this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},w.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};u.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},w.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,s=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var l=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(l[c]=t.dataBox[c],l[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var h=i._size,f=this.xaxis.domain,d=this.yaxis.domain;a=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,s/t.pixelRatio-(h.t+(1-d[1])*h.h));var p=a&&a.object._trace.handlePick(a);if(p&&n&&this.emitPointAction(p,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&p&&(!this.lastPickResult||this.lastPickResult.traceUid!==p.trace.uid||this.lastPickResult.dataCoord[0]!==p.dataCoord[0]||this.lastPickResult.dataCoord[1]!==p.dataCoord[1])){var m=p;this.lastPickResult={traceUid:p.trace?p.trace.uid:null,dataCoord:p.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),m.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(p,\"plotly_hover\");var v=this.fullData[m.trace.index]||{},g=m.pointIndex,y=u.castHoverinfo(v,i,g);if(y&&\"all\"!==y){var b=y.split(\"+\");-1===b.indexOf(\"x\")&&(m.traceCoord[0]=void 0),-1===b.indexOf(\"y\")&&(m.traceCoord[1]=void 0),-1===b.indexOf(\"z\")&&(m.traceCoord[2]=void 0),-1===b.indexOf(\"text\")&&(m.textLabel=void 0),-1===b.indexOf(\"name\")&&(m.name=void 0)}u.loneHover({x:m.screenCoord[0],y:m.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",m.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",m.traceCoord[1]),zLabel:m.traceCoord[2],text:m.textLabel,name:m.name,color:u.castHoverOption(v,g,\"bgcolor\")||m.color,borderColor:u.castHoverOption(v,g,\"bordercolor\"),fontFamily:u.castHoverOption(v,g,\"font.family\"),fontSize:u.castHoverOption(v,g,\"font.size\"),fontColor:u.castHoverOption(v,g,\"font.color\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},w.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),u.loneUnhover(this.svgContainer))},w.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return l.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../components/fx\":645,\"../../lib/html2unicode\":726,\"../../lib/show_no_webgl_msg\":747,\"../../plots/cartesian/axes\":772,\"../../plots/cartesian/constraints\":779,\"../../registry\":846,\"./camera\":806,\"./convert\":807,\"gl-plot2d\":219,\"gl-select-box\":253,\"gl-spikes2d\":262,\"webgl-context\":563}],810:[function(t,e,r){\"use strict\";function n(t,e){function r(e,r,n,a){var o=p.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,c=\"zoom\"===o,f=!!a.control,d=!!a.alt,y=!!a.shift,b=!!(1&e),x=!!(2&e),_=!!(4&e),w=1/t.clientHeight,M=w*(r-m),k=w*(n-v),A=p.flipX?1:-1,T=p.flipY?1:-1,S=i(),E=Math.PI*p.rotateSpeed;if((s&&b&&!f&&!d&&!y||b&&!f&&!d&&y)&&u.rotate(S,A*E*M,-T*E*k,0),(l&&b&&!f&&!d&&!y||x||b&&f&&!d&&!y)&&u.pan(S,-p.translateSpeed*M*h,p.translateSpeed*k*h,0),c&&b&&!f&&!d&&!y||_||b&&!f&&d&&!y){var L=-p.zoomSpeed*k/window.innerHeight*(S-u.lastT())*100;u.pan(S,0,0,h*(Math.exp(L)-1))}return m=r,v=n,g=a,!0}}t=t||document.body,e=e||{};var n=[.01,1/0];\"distanceLimits\"in e&&(n[0]=e.distanceLimits[0],n[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(n[0]=e.zoomMin),\"zoomMax\"in e&&(n[1]=e.zoomMax);var u=a({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:n}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],h=0,f=t.clientWidth,d=t.clientHeight,p={keyBindingMode:\"rotate\",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,tick:function(){var e=i(),r=this.delay,n=e-2*r;u.idle(e-r),u.recalcMatrix(n),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===f&&t.clientHeight===d;return f=t.clientWidth,d=t.clientHeight,a?!l:(h=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)}};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(),n=u.computedCenter.slice();if(u.setMode(t),\"turntable\"===t){var a=i();u._active.lookAt(a,r,n,e),u._active.lookAt(a+500,r,n,[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 h},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(n)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",function(t){return t.preventDefault(),!1});var m=0,v=0,g={shift:!1,control:!1,alt:!1,meta:!1};return p.mouseListener=o(t,r),t.addEventListener(\"touchstart\",function(e){var n=l(e.changedTouches[0],t);r(0,n[0],n[1],g),r(1,n[0],n[1],g)}),t.addEventListener(\"touchmove\",function(e){var n=l(e.changedTouches[0],t);r(1,n[0],n[1],g)}),t.addEventListener(\"touchend\",function(){r(0,m,v,g)}),p.wheelListener=s(t,function(t,e){if(!1!==p.keyBindingMode){var r=p.flipX?1:-1,n=p.flipY?1:-1,a=i();if(Math.abs(t)>Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*p.rotateSpeed/window.innerWidth);else{var o=-p.zoomSpeed*n*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,h*(Math.exp(o)-1))}}},!0),p}e.exports=n;var i=t(\"right-now\"),a=t(\"3d-view\"),o=t(\"mouse-change\"),s=t(\"mouse-wheel\"),l=t(\"mouse-event-offset\")},{\"3d-view\":37,\"mouse-change\":452,\"mouse-event-offset\":453,\"mouse-wheel\":455,\"right-now\":502}],811:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../components/fx/layout_attributes\"),a=t(\"./scene\"),o=t(\"../plots\"),s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=o.getSubplotIds(e,\"gl3d\"),i=0;i<n.length;i++){var l=n[i],u=o.getSubplotData(r,\"gl3d\",l),c=e[l],h=c._scene;h||(h=new a({id:l,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),c._scene=h),h.cameraInitial||(h.cameraInitial=s.extendDeep({},c.camera)),h.plot(u,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=o.getSubplotIds(n,\"gl3d\"),a=0;a<i.length;a++){var s=i[a];!e[s]&&n[s]._scene&&(n[s]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+s).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=o.getSubplotIds(e,\"gl3d\"),n=e._size,i=0;i<r.length;i++){var a=e[r[i]],s=a.domain,u=a._scene,c=u.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*s.x[0],y:n.t+n.h*(1-s.y[1]),width:n.w*(s.x[1]-s.x[0]),height:n.h*(s.y[1]-s.y[0]),preserveAspectRatio:\"none\"}),u.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=o.getSubplotIds(t,\"gl3d\"),r=0;r<e.length;r++){t[e[r]]._scene.updateFx(t.dragmode,t.hovermode)}}},{\"../../components/fx/layout_attributes\":646,\"../../constants/xmlns_namespaces\":709,\"../../lib\":728,\"../../plot_api/edit_types\":756,\"../plots\":831,\"./layout/attributes\":812,\"./layout/defaults\":816,\"./layout/layout_attributes\":817,\"./scene\":821}],812:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],813:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),i=t(\"../../cartesian/layout_attributes\"),a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:i.title,titlefont:i.titlefont,type:i.type,autorange:i.autorange,rangemode:i.rangemode,range:i.range,tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,separatethousands:i.separatethousands,tickformat:i.tickformat,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth},\"plot\",\"from-root\")},{\"../../../components/color\":604,\"../../../lib/extend\":717,\"../../../plot_api/edit_types\":756,\"../../cartesian/layout_attributes\":783}],814:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../../lib\"),a=t(\"./axis_attributes\"),o=t(\"../../cartesian/type_defaults\"),s=t(\"../../cartesian/axis_defaults\"),l=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){function u(t,e){return i.coerce(c,h,a,t,e)}for(var c,h,f=0;f<l.length;f++){var 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a=t(\"../../../lib/html2unicode\"),o=t(\"../../../lib/str2rgbarray\"),s=[\"xaxis\",\"yaxis\",\"zaxis\"];n.prototype.merge=function(t){for(var e=this,r=0;r<3;++r){var n=t[s[r]];n.visible?(e.labels[r]=a(n.title),\"titlefont\"in n&&(n.titlefont.color&&(e.labelColor[r]=o(n.titlefont.color)),n.titlefont.family&&(e.labelFont[r]=n.titlefont.family),n.titlefont.size&&(e.labelSize[r]=n.titlefont.size)),\"showline\"in n&&(e.lineEnable[r]=n.showline),\"linecolor\"in n&&(e.lineColor[r]=o(n.linecolor)),\"linewidth\"in n&&(e.lineWidth[r]=n.linewidth),\"showgrid\"in n&&(e.gridEnable[r]=n.showgrid),\"gridcolor\"in n&&(e.gridColor[r]=o(n.gridcolor)),\"gridwidth\"in n&&(e.gridWidth[r]=n.gridwidth),\"log\"===n.type?e.zeroEnable[r]=!1:\"zeroline\"in n&&(e.zeroEnable[r]=n.zeroline),\"zerolinecolor\"in n&&(e.zeroLineColor[r]=o(n.zerolinecolor)),\"zerolinewidth\"in n&&(e.zeroLineWidth[r]=n.zerolinewidth),\"ticks\"in n&&n.ticks?e.lineTickEnable[r]=!0:e.lineTickEnable[r]=!1,\"ticklen\"in n&&(e.lineTickLength[r]=e._defaultLineTickLength[r]=n.ticklen),\"tickcolor\"in n&&(e.lineTickColor[r]=o(n.tickcolor)),\"tickwidth\"in n&&(e.lineTickWidth[r]=n.tickwidth),\"tickangle\"in n&&(e.tickAngle[r]=\"auto\"===n.tickangle?0:Math.PI*-n.tickangle/180),\"showticklabels\"in n&&(e.tickEnable[r]=n.showticklabels),\"tickfont\"in n&&(n.tickfont.color&&(e.tickColor[r]=o(n.tickfont.color)),n.tickfont.family&&(e.tickFont[r]=n.tickfont.family),n.tickfont.size&&(e.tickSize[r]=n.tickfont.size)),\"mirror\"in n?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(n.mirror)?(e.lineTickMirror[r]=!0,e.lineMirror[r]=!0):!0===n.mirror?(e.lineTickMirror[r]=!1,e.lineMirror[r]=!0):(e.lineTickMirror[r]=!1,e.lineMirror[r]=!1):e.lineMirror[r]=!1,\"showbackground\"in n&&!1!==n.showbackground?(e.backgroundEnable[r]=!0,e.backgroundColor[r]=o(n.backgroundcolor)):e.backgroundEnable[r]=!1):(e.tickEnable[r]=!1,e.labelEnable[r]=!1,e.lineEnable[r]=!1,e.lineTickEnable[r]=!1,e.gridEnable[r]=!1,e.zeroEnable[r]=!1,e.backgroundEnable[r]=!1)}},e.exports=i},{\"../../../lib/html2unicode\":726,\"../../../lib/str2rgbarray\":749}],816:[function(t,e,r){\"use strict\";function n(t,e,r,n){for(var i=r(\"bgcolor\"),s=a.combine(i,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],c=0;c<u.length;c++)r(\"camera.\"+u[c]+\".x\"),r(\"camera.\"+u[c]+\".y\"),r(\"camera.\"+u[c]+\".z\");var h=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),f=h?\"manual\":\"auto\",d=r(\"aspectmode\",f);h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode),l(t,e,{font:n.font,scene:n.id,data:n.fullData,bgColor:s,calendar:n.calendar}),o.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n),r(\"dragmode\",n.getDfltFromLayout(\"dragmode\")),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}var i=t(\"../../../lib\"),a=t(\"../../../components/color\"),o=t(\"../../../registry\"),s=t(\"../../subplot_defaults\"),l=t(\"./axis_defaults\"),u=t(\"./layout_attributes\");e.exports=function(t,e,r){function a(e){if(!o){return i.validate(t[e],u[e])?t[e]:void 0}}var o=e._basePlotModules.length>1;s(t,e,r,{type:\"gl3d\",attributes:u,handleDefaults:n,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:a,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":604,\"../../../lib\":728,\"../../../registry\":846,\"../../subplot_defaults\":838,\"./axis_defaults\":814,\"./layout_attributes\":817}],817:[function(t,e,r){\"use strict\";function n(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}var i=t(\"./axis_attributes\"),a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(n(0,0,1),{}),center:a(n(0,0,0),{}),eye:a(n(1.25,1.25,1.25),{}),editType:\"camera\"},domain:{x:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1,editType:\"plot\"},{valType:\"number\",min:0,max:1,editType:\"plot\"}],dflt:[0,1],editType:\"plot\"},y:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1,editType:\"plot\"},{valType:\"number\",min:0,max:1,editType:\"plot\"}],dflt:[0,1],editType:\"plot\"},editType:\"plot\"},aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:i,yaxis:i,zaxis:i,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],dflt:\"turntable\",editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":728,\"../../../lib/extend\":717,\"./axis_attributes\":813}],818:[function(t,e,r){\"use strict\";function n(){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]}function i(t){var e=new n;return e.merge(t),e}var a=t(\"../../../lib/str2rgbarray\"),o=[\"xaxis\",\"yaxis\",\"zaxis\"];n.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[o[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=a(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=i},{\"../../../lib/str2rgbarray\":749}],819:[function(t,e,r){\"use strict\";function n(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}function i(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,i=t.fullSceneLayout,c=[[],[],[]],h=0;h<3;++h){var f=i[l[h]];if(f._length=(r[h].hi-r[h].lo)*r[h].pixelsPerDataUnit/t.dataScale[h],Math.abs(f._length)===1/0)c[h]=[];else{f.range[0]=r[h].lo/t.dataScale[h],f.range[1]=r[h].hi/t.dataScale[h],f._m=1/(t.dataScale[h]*r[h].pixelsPerDataUnit),f.range[0]===f.range[1]&&(f.range[0]-=1,f.range[1]+=1);var d=f.tickmode;if(\"auto\"===f.tickmode){f.tickmode=\"linear\";var p=f.nticks||o.constrain(f._length/40,4,9);a.autoTicks(f,Math.abs(f.range[1]-f.range[0])/p)}for(var m=a.calcTicks(f),v=0;v<m.length;++v)m[v].x=m[v].x*t.dataScale[h],m[v].text=s(m[v].text);c[h]=m,f.tickmode=d}}e.ticks=c;for(var h=0;h<3;++h){u[h]=.5*(t.glplot.bounds[0][h]+t.glplot.bounds[1][h]);for(var v=0;v<2;++v)e.bounds[v][h]=t.glplot.bounds[v][h]}t.contourLevels=n(c)}e.exports=i;var a=t(\"../../cartesian/axes\"),o=t(\"../../../lib\"),s=t(\"../../../lib/html2unicode\"),l=[\"xaxis\",\"yaxis\",\"zaxis\"],u=[0,0,0]},{\"../../../lib\":728,\"../../../lib/html2unicode\":726,\"../../cartesian/axes\":772}],820:[function(t,e,r){\"use strict\";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}function i(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}e.exports=i},{}],821:[function(t,e,r){\"use strict\";function n(t){function e(e,r){var n=t.fullSceneLayout[e];return v.tickText(n,n.d2l(r),\"hover\").text}var r,n=t.svgContainer,i=t.container.getBoundingClientRect(),a=i.width,o=i.height;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+a+\" \"+o),n.setAttributeNS(null,\"width\",a),n.setAttributeNS(null,\"height\",o),k(t),t.glplot.axes.update(t.axesOptions);for(var s=Object.keys(t.traces),l=null,u=t.glplot.selection,c=0;c<s.length;++c)r=t.traces[s[c]],\"skip\"!==r.data.hoverinfo&&r.handlePick(u)&&(l=r),r.setContourLevels&&r.setContourLevels();var h;if(null!==l){var f=_(t.glplot.cameraParams,u.dataCoordinate);r=l.data;var d=u.index,p=g.castHoverinfo(r,t.fullLayout,d),m=e(\"xaxis\",u.traceCoordinate[0]),y=e(\"yaxis\",u.traceCoordinate[1]),b=e(\"zaxis\",u.traceCoordinate[2]);if(\"all\"!==p){var x=p.split(\"+\");-1===x.indexOf(\"x\")&&(m=void 0),-1===x.indexOf(\"y\")&&(y=void 0),-1===x.indexOf(\"z\")&&(b=void 0),-1===x.indexOf(\"text\")&&(u.textLabel=void 0),-1===x.indexOf(\"name\")&&(l.name=void 0)}t.fullSceneLayout.hovermode&&g.loneHover({x:(.5+.5*f[0]/f[3])*a,y:(.5-.5*f[1]/f[3])*o,xLabel:m,yLabel:y,zLabel:b,text:u.textLabel,name:l.name,color:g.castHoverOption(r,d,\"bgcolor\")||l.color,borderColor:g.castHoverOption(r,d,\"bordercolor\"),fontFamily:g.castHoverOption(r,d,\"font.family\"),fontSize:g.castHoverOption(r,d,\"font.size\"),fontColor:g.castHoverOption(r,d,\"font.color\")},{container:n,gd:t.graphDiv});var w={x:u.traceCoordinate[0],y:u.traceCoordinate[1],z:u.traceCoordinate[2],data:r._input,fullData:r,curveNumber:r.index,pointNumber:d};g.appendArrayPointValue(w,r,d);var M={points:[w]};u.buttons&&u.distance<5?t.graphDiv.emit(\"plotly_click\",M):t.graphDiv.emit(\"plotly_hover\",M),h=M}else g.loneUnhover(n),t.graphDiv.emit(\"plotly_unhover\",h);t.drawAnnotations(t)}function i(t,e,r,i){var a={canvas:r,gl:i,container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1};if(t.staticMode){if(!(h||(c=document.createElement(\"canvas\"),h=d({canvas:c,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");a.pixelRatio=t.pixelRatio,a.gl=h,a.canvas=c}try{t.glplot=f(a)}catch(e){b(t)}var o=function(t){if(!1!==t.fullSceneLayout.dragmode){var e={};e[t.id+\".camera\"]=u(t.camera),t.saveCamera(t.graphDiv.layout),t.graphDiv.emit(\"plotly_relayout\",e)}};if(t.glplot.canvas.addEventListener(\"mouseup\",o.bind(null,t)),t.glplot.canvas.addEventListener(\"wheel\",o.bind(null,t)),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",function(t){m.warn(\"Lost WebGL context.\"),t.preventDefault()}),!t.camera){var s=t.fullSceneLayout.camera;t.camera=x(t.container,{center:[s.center.x,s.center.y,s.center.z],\n",
       "eye:[s.eye.x,s.eye.y,s.eye.z],up:[s.up.x,s.up.y,s.up.z],zoomMin:.1,zoomMax:100,mode:\"orbit\"})}return t.glplot.camera=t.camera,t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=n.bind(null,t),t.traces={},!0}function a(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var a=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\",r.appendChild(a),this.svgContainer=a,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=w(e[this.id]),this.spikeOptions=M(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=p.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=p.getComponentMethod(\"annotations3d\",\"draw\"),i(this,e)}function o(t,e,r,n,i){for(var a,o=0;o<e.length;++o)if(Array.isArray(e[o]))for(var s=0;s<e[o].length;++s)a=t.d2l(e[o][s],0,i),!isNaN(a)&&isFinite(a)&&(n[0][r]=Math.min(n[0][r],a),n[1][r]=Math.max(n[1][r],a));else a=t.d2l(e[o],0,i),!isNaN(a)&&isFinite(a)&&(n[0][r]=Math.min(n[0][r],a),n[1][r]=Math.max(n[1][r],a))}function s(t,e,r){var n=t.fullSceneLayout;o(n.xaxis,e.x,0,r,e.xcalendar),o(n.yaxis,e.y,1,r,e.ycalendar),o(n.zaxis,e.z,2,r,e.zcalendar)}function l(t){return[[t.eye.x,t.eye.y,t.eye.z],[t.center.x,t.center.y,t.center.z],[t.up.x,t.up.y,t.up.z]]}function u(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]}}}var c,h,f=t(\"gl-plot3d\"),d=t(\"webgl-context\"),p=t(\"../../registry\"),m=t(\"../../lib\"),v=t(\"../../plots/cartesian/axes\"),g=t(\"../../components/fx\"),y=t(\"../../lib/str2rgbarray\"),b=t(\"../../lib/show_no_webgl_msg\"),x=t(\"./camera\"),_=t(\"./project\"),w=t(\"./layout/convert\"),M=t(\"./layout/spikes\"),k=t(\"./layout/tick_marks\"),A=a.prototype;A.recoverContext=function(){function t(){return r.isContextLost()?void requestAnimationFrame(t):i(e,e.fullLayout,n,r)?void e.plot.apply(e,e.plotArgs):void m.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")}var e=this,r=this.glplot.gl,n=this.glplot.canvas;this.glplot.dispose(),requestAnimationFrame(t)};var T=[\"xaxis\",\"yaxis\",\"zaxis\"];A.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,l,u,c=e[this.id],h=r[this.id];c.bgcolor?this.glplot.clearColor=y(c.bgcolor):this.glplot.clearColor=[0,0,0,0],this.glplot.snapToData=!0,this.fullLayout=e,this.fullSceneLayout=c,this.glplotLayout=c,this.axesOptions.merge(c),this.spikeOptions.merge(c),this.setCamera(c.camera),this.updateFx(c.dragmode,c.hovermode),this.glplot.update({}),this.setConvert(l),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<t.length;++a)n=t[a],!0===n.visible&&s(this,n,f);var d=[1,1,1];for(o=0;o<3;++o)f[0][o]>f[1][o]?d[o]=1:f[1][o]===f[0][o]?d[o]=1:d[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=d,this.convertAnnotations(this),a=0;a<t.length;++a)n=t[a],!0===n.visible&&(i=this.traces[n.uid],i?i.update(n):(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<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&!0===t[o].visible)continue t;i=this.traces[p[a]],i.dispose(),delete this.traces[p[a]]}this.glplot.objects.sort(function(t,e){return t._trace.data.index-e._trace.data.index});var m=[[0,0,0],[0,0,0]],v=[],g={};for(a=0;a<3;++a){if(l=c[T[a]],u=l.type,u in g?(g[u].acc*=d[a],g[u].count+=1):g[u]={acc:d[a],count:1},l.autorange){m[0][a]=1/0,m[1][a]=-1/0;var b=this.glplot.objects,x=this.fullSceneLayout.annotations||[],_=l._name.charAt(0);for(o=0;o<b.length;o++){var w=b[o].bounds;m[0][a]=Math.min(m[0][a],w[0][a]/d[a]),m[1][a]=Math.max(m[1][a],w[1][a]/d[a])}for(o=0;o<x.length;o++){var M=x[o];if(M.visible){var k=l.r2l(M[_]);m[0][a]=Math.min(m[0][a],k),m[1][a]=Math.max(m[1][a],k)}}if(\"rangemode\"in l&&\"tozero\"===l.rangemode&&(m[0][a]=Math.min(m[0][a],0),m[1][a]=Math.max(m[1][a],0)),m[0][a]>m[1][a])m[0][a]=-1,m[1][a]=1;else{var A=m[1][a]-m[0][a];m[0][a]-=A/32,m[1][a]+=A/32}}else{var S=l.range;m[0][a]=l.r2l(S[0]),m[1][a]=l.r2l(S[1])}m[0][a]===m[1][a]&&(m[0][a]-=1,m[1][a]+=1),v[a]=m[1][a]-m[0][a],this.glplot.bounds[0][a]=m[0][a]*d[a],this.glplot.bounds[1][a]=m[1][a]*d[a]}var E=[1,1,1];for(a=0;a<3;++a){l=c[T[a]],u=l.type;var L=g[u];E[a]=Math.pow(L.acc,1/L.count)/d[a]}var C;if(\"auto\"===c.aspectmode)C=Math.max.apply(null,E)/Math.min.apply(null,E)<=4?E:[1,1,1];else if(\"cube\"===c.aspectmode)C=[1,1,1];else if(\"data\"===c.aspectmode)C=E;else{if(\"manual\"!==c.aspectmode)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var 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f=h.getContext(\"2d\"),d=f.createImageData(r,n);d.data.set(i),f.putImageData(d,0,0);var p;switch(t){case\"jpeg\":p=h.toDataURL(\"image/jpeg\");break;case\"webp\":p=h.toDataURL(\"image/webp\");break;default:p=h.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(c),p},A.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[T[t]];v.setConvert(e,this.fullLayout),e.setScale=m.noop}},e.exports=a},{\"../../components/fx\":645,\"../../lib\":728,\"../../lib/show_no_webgl_msg\":747,\"../../lib/str2rgbarray\":749,\"../../plots/cartesian/axes\":772,\"../../registry\":846,\"./camera\":810,\"./layout/convert\":815,\"./layout/spikes\":818,\"./layout/tick_marks\":819,\"./project\":820,\"gl-plot3d\":221,\"webgl-context\":563}],822:[function(t,e,r){\"use strict\";var n=t(\"./font_attributes\"),i=t(\"../components/color/attributes\"),a=n({editType:\"calc\"});a.family.dflt='\"Open Sans\", verdana, arial, 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strict\";e.exports={styleUrlPrefix:\"mapbox://styles/mapbox/\",styleUrlSuffix:\"v9\",controlContainerClassName:\"mapboxgl-control-container\",noAccessTokenErrorMsg:[\"Missing Mapbox access token.\",\"Mapbox trace type require a Mapbox access token to be registered.\",\"For example:\",\"  Plotly.plot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });\",\"More info here: https://www.mapbox.com/help/define-access-token/\"].join(\"\\n\"),mapOnErrorMsg:\"Mapbox error.\"}},{}],824:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=t.split(\" \"),i=r[0],a=r[1],o=Array.isArray(e)?n.mean(e):e,s=.5+o/100,l=1.5+o/100,u=[\"\",\"\"],c=[0,0];switch(i){case\"top\":u[0]=\"top\",c[1]=-l;break;case\"bottom\":u[0]=\"bottom\",c[1]=l}switch(a){case\"left\":u[1]=\"right\",c[0]=-s;break;case\"right\":u[1]=\"left\",c[0]=s}var h;return h=u[0]&&u[1]?u.join(\"-\"):u[0]?u[0]:u[1]?u[1]:\"center\",{anchor:h,offset:c}}},{\"../../lib\":728}],825:[function(t,e,r){\"use 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h=s[c],f=o.getSubplotCalcData(r,\"mapbox\",h),d=e[h],p=d._subplot;d.accesstoken=u,p||(p=l({gd:t,container:e._glcontainer.node(),id:h,fullLayout:e,staticPlot:t._context.staticPlot}),e[h]._subplot=p),p.viewInitial||(p.viewInitial={center:a.extendFlat({},d.center),zoom:d.zoom,bearing:d.bearing,pitch:d.pitch}),p.plot(f,e,t._promises)}},r.clean=function(t,e,r,n){for(var i=o.getSubplotIds(n,\"mapbox\"),a=0;a<i.length;a++){var s=i[a];!e[s]&&n[s]._subplot&&n[s]._subplot.destroy()}},r.toSVG=function(t){for(var e=t._fullLayout,r=o.getSubplotIds(e,\"mapbox\"),n=e._size,i=0;i<r.length;i++){var a=e[r[i]],l=a.domain,u=a._subplot,c=u.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:s.svg,\"xlink:href\":c,x:n.l+n.w*l.x[0],y:n.t+n.h*(1-l.y[1]),width:n.w*(l.x[1]-l.x[0]),height:n.h*(l.y[1]-l.y[0]),preserveAspectRatio:\"none\"}),u.destroy()}},r.updateFx=function(t){for(var e=o.getSubplotIds(t,\"mapbox\"),r=0;r<e.length;r++){t[e[r]]._subplot.updateFx(t)}}},{\"../../constants/xmlns_namespaces\":709,\"../../lib\":728,\"../plots\":831,\"./constants\":823,\"./layout_attributes\":827,\"./layout_defaults\":828,\"./mapbox\":829,\"mapbox-gl\":343}],826:[function(t,e,r){\"use strict\";function n(t,e){this.mapbox=t,this.map=t.map,this.uid=t.uid+\"-layer\"+e,this.idSource=this.uid+\"-source\",this.idLayer=this.uid+\"-layer\",this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}function i(t){var e=t.source;return s.isPlainObject(e)||\"string\"==typeof e&&e.length>0}function a(t){var e={},r={};switch(t.type){case\"circle\":s.extendFlat(r,{\"circle-radius\":t.circle.radius,\"circle-color\":t.color,\"circle-opacity\":t.opacity});break;case\"line\":s.extendFlat(r,{\"line-width\":t.line.width,\"line-color\":t.color,\"line-opacity\":t.opacity});break;case\"fill\":s.extendFlat(r,{\"fill-color\":t.color,\"fill-outline-color\":t.fill.outlinecolor,\"fill-opacity\":t.opacity});break;case\"symbol\":var n=t.symbol,i=l(n.textposition,n.iconsize);s.extendFlat(e,{\"icon-image\":n.icon+\"-15\",\"icon-size\":n.iconsize/10,\"text-field\":n.text,\"text-size\":n.textfont.size,\"text-anchor\":i.anchor,\"text-offset\":i.offset}),s.extendFlat(r,{\"icon-color\":t.color,\"text-color\":n.textfont.color,\"text-opacity\":t.opacity})}return{layout:e,paint:r}}function o(t){var e,r=t.sourcetype,n=t.source,i={type:r},a=\"string\"==typeof n;return\"geojson\"===r?e=\"data\":\"vector\"===r&&(e=a?\"url\":\"tiles\"),i[e]=n,i}var s=t(\"../../lib\"),l=t(\"./convert_text_opts\"),u=n.prototype;u.update=function(t){this.visible?this.needsNewSource(t)?(this.updateLayer(t),this.updateSource(t)):this.needsNewLayer(t)&&this.updateLayer(t):(this.updateSource(t),this.updateLayer(t)),this.updateStyle(t),this.visible=i(t)},u.needsNewSource=function(t){return this.sourceType!==t.sourcetype||this.source!==t.source||this.layerType!==t.type},u.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==t.below},u.updateSource=function(t){var e=this.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,i(t)){var r=o(t);e.addSource(this.idSource,r)}},u.updateLayer=function(t){var e=this.map;if(e.getLayer(this.idLayer)&&e.removeLayer(this.idLayer),this.layerType=t.type,i(t)){e.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":t.sourcelayer||\"\",type:t.type},t.below);var r={visibility:\"visible\"};this.mapbox.setOptions(this.idLayer,\"setLayoutProperty\",r)}},u.updateStyle=function(t){var e=a(t);i(t)&&(this.mapbox.setOptions(this.idLayer,\"setLayoutProperty\",e.layout),this.mapbox.setOptions(this.idLayer,\"setPaintProperty\",e.paint))},u.dispose=function(){var t=this.map;t.removeLayer(this.idLayer),t.removeSource(this.idSource)},e.exports=function(t,e,r){var i=new n(t,e);return i.update(r),i}},{\"../../lib\":728,\"./convert_text_opts\":824}],827:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\").defaultLine,a=t(\"../font_attributes\"),o=t(\"../../traces/scatter/attributes\").textposition,s=t(\"../../plot_api/edit_types\").overrideAll,l=a({});l.family.dflt=\"Open Sans Regular, Arial Unicode MS 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a=t(\"../../lib\"),o=t(\"../subplot_defaults\"),s=t(\"./layout_attributes\");e.exports=function(t,e,r){o(t,e,r,{type:\"mapbox\",attributes:s,handleDefaults:n,partition:\"y\"})}},{\"../../lib\":728,\"../subplot_defaults\":838,\"./layout_attributes\":827}],829:[function(t,e,r){\"use strict\";function n(t){this.id=t.id,this.gd=t.gd,this.container=t.container,this.isStatic=t.staticPlot;var e=t.fullLayout;this.uid=e._uid+\"-\"+this.id,this.opts=e[this.id],this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(e),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[]}function i(t){var e=d.style.values,r=d.style.dflt,n={};return u.isPlainObject(t)?(n.id=t.id,n.style=t):\"string\"==typeof t?(n.id=t,n.style=-1!==e.indexOf(t)?a(t):t):(n.id=r,n.style=a(r)),n}function a(t){return f.styleUrlPrefix+t+\"-\"+f.styleUrlSuffix}function o(t){return[t.lon,t.lat]}var 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n=t(\"../../../components/color/attributes\"),i=t(\"./axis_attributes\"),a=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=a({domain:{x:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]},y:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]}},bgcolor:{valType:\"color\",dflt:n.background},sum:{valType:\"number\",dflt:1,min:0},aaxis:i,baxis:i,caxis:i},\"plot\",\"from-root\")},{\"../../../components/color/attributes\":603,\"../../../plot_api/edit_types\":756,\"./axis_attributes\":841}],845:[function(t,e,r){\"use strict\";function n(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e)}function i(t){a.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}var 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w=b.MINZOOM/2+.87,M=\"m-0.87,.5h\"+w+\"v3h-\"+(w+5.2)+\"l\"+(w/2+2.6)+\",-\"+(.87*w+4.5)+\"l2.6,1.5l-\"+w/2+\",\"+.87*w+\"Z\",k=\"m0.87,.5h-\"+w+\"v3h\"+(w+5.2)+\"l-\"+(w/2+2.6)+\",-\"+(.87*w+4.5)+\"l-2.6,1.5l\"+w/2+\",\"+.87*w+\"Z\",A=\"m0,1l\"+w/2+\",\"+.87*w+\"l2.6,-1.5l-\"+(w/2+2.6)+\",-\"+(.87*w+4.5)+\"l-\"+(w/2+2.6)+\",\"+(.87*w+4.5)+\"l2.6,1.5l\"+w/2+\",-\"+.87*w+\"Z\",T=!0;x.initInteractions=function(){function t(t,e,r){var n=F.getBoundingClientRect();w=e-n.left,S=r-n.top,E={a:R.aaxis.range[0],b:R.baxis.range[1],c:R.caxis.range[1]},C=E,L=R.aaxis.range[1]-E.a,I=o(R.graphDiv._fullLayout[R.id].bgcolor).getLuminance(),z=\"M0,\"+R.h+\"L\"+R.w/2+\", 0L\"+R.w+\",\"+R.h+\"Z\",D=!1,P=N.append(\"path\").attr(\"class\",\"zoombox\").attr(\"transform\",\"translate(\"+R.x0+\", \"+R.y0+\")\").style({fill:I>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"d\",z),O=N.append(\"path\").attr(\"class\",\"zoombox-corners\").attr(\"transform\",\"translate(\"+R.x0+\", 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i=n.traces[e];i&&d(r.modules[e]._module.attributes,i)}}function a(t,e){var n=r.componentsRegistry[t].schema;if(n&&n.transforms){var i=n.transforms[e];i&&d(r.transformsRegistry[e].attributes,i)}}function o(t,e){var n=r.componentsRegistry[t].schema;if(n&&n.subplots){var i=r.subplotsRegistry[e],a=i.layoutAttributes,o=\"subplot\"===i.attr?i.name:i.attr;Array.isArray(o)&&(o=o[0]);var s=n.subplots[o];a&&s&&d(a,s)}}function s(t){return\"object\"==typeof t&&(t=t.type),t}var l=t(\"./lib/loggers\"),u=t(\"./lib/noop\"),c=t(\"./lib/push_unique\"),h=t(\"./lib/extend\"),f=h.extendFlat,d=h.extendDeepAll,p=t(\"./plots/attributes\"),m=t(\"./plots/layout_attributes\");r.modules={},r.allCategories={},r.allTypes=[],r.subplotsRegistry={},r.transformsRegistry={},r.componentsRegistry={},r.layoutArrayContainers=[],r.layoutArrayRegexes=[],r.traceLayoutAttributes={},r.register=function(t,e,n,a){if(r.modules[e])return void l.log(\"Type \"+e+\" already registered\");for(var 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v._infolayer.selectAll(\".cb\"+d).remove();\"heatmap\"===f.coloring?(s.zauto&&!1===s.autocontour&&(s._input.zmin=s.zmin=f.start-f.size/2,s._input.zmax=s.zmax=s.zmin+_.length*f.size),y(t,e,[n])):(v._paper.selectAll(\".hm\"+d).remove(),v._infolayer.selectAll(\"g.rangeslider-container\").selectAll(\".hm\"+d).remove()),b(_),x(_);var w=p.c2p(u[0],!0),M=p.c2p(u[u.length-1],!0),k=m.c2p(h[0],!0),A=m.c2p(h[h.length-1],!0),T=[[w,A],[M,A],[M,k],[w,k]],S=r.makeContourGroup(e,n,g);a(S,T,f),o(S,_,T,f),l(S,_,t,n[0],f,T),c(S,e,v._clips,n[0],T)}function i(t,e,r){for(var n=t.size,i=[],a=_(t),o=t.start;o<a;o+=n)if(i.push({level:o,crossings:{},starts:[],edgepaths:[],paths:[],xaxis:e.xaxis,yaxis:e.yaxis,x:r.x,y:r.y,z:r.z,smoothing:r.trace.line.smoothing}),i.length>1e3){d.warn(\"Too many contours, clipping at 1000\",t);break}return i}function a(t,e,r){var n=t.selectAll(\"g.contourbg\").data([0]);n.enter().append(\"g\").classed(\"contourbg\",!0);var 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val(pB, dim1B) + val(pC, dim1C) + val(pD, dim1D));\\n\\n    vec2 dimensionToggle = vec2(x, 1.0 - x);\\n\\n    vec2 scatterToggle = vec2(scatter, 1.0 - scatter);\\n\\n    float y = dot(yy, dimensionToggle);\\n    mat2 xy = mat2(viewBoxSize * yy + dimensionToggle, viewBoxSize * vec2(x, y));\\n\\n    vec2 viewBoxXY = viewBoxPosition + xy * scatterToggle;\\n\\n    float depthOrHide = depth + 2.0 * (1.0 - show);\\n\\n    gl_Position = vec4(\\n        xyProjection * (2.0 * viewBoxXY / resolution - 1.0),\\n        depthOrHide,\\n        1.0\\n    );\\n\\n    // pick coloring\\n    fragColor = vec4(pf.rgb, 1.0);\\n}\\n\":\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 p0, p1, p2, p3,\\n               p4, p5, p6, p7,\\n               p8, p9, pa, pb,\\n               pc, pd, pe;\\n\\nattribute vec4 pf;\\n\\nuniform mat4 dim1A, dim2A, dim1B, dim2B, dim1C, dim2C, dim1D, dim2D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution,\\n             viewBoxPosition,\\n             viewBoxSize;\\n\\nuniform sampler2D palette;\\n\\nuniform vec2 colorClamp;\\n\\nuniform float scatter;\\n\\nvarying vec4 fragColor;\\n\\nvec4 zero = vec4(0, 0, 0, 0);\\nvec4 unit = vec4(1, 1, 1, 1);\\nvec2 xyProjection = vec2(1, 1);\\n\\nmat4 mclamp(mat4 m, mat4 lo, mat4 hi) {\\n    return mat4(clamp(m[0], lo[0], hi[0]),\\n                clamp(m[1], lo[1], hi[1]),\\n                clamp(m[2], lo[2], hi[2]),\\n                clamp(m[3], lo[3], hi[3]));\\n}\\n\\nbool mshow(mat4 p, mat4 lo, mat4 hi) {\\n    return mclamp(p, lo, hi) == p;\\n}\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * unit, unit);\\n}\\n\\nvoid main() {\\n\\n    float x = 0.5 * sign(pf[3]) + 0.5;\\n    float prominence = abs(pf[3]);\\n    float depth = 1.0 - prominence;\\n\\n    mat4 pA = mat4(p0, p1, p2, p3);\\n    mat4 pB = mat4(p4, p5, p6, p7);\\n    mat4 pC = mat4(p8, p9, pa, pb);\\n    mat4 pD = mat4(pc, pd, pe, abs(pf));\\n\\n    float show = float(mshow(pA, loA, hiA) &&\\n                       mshow(pB, loB, hiB) &&\\n                       mshow(pC, loC, hiC) &&\\n                       mshow(pD, loD, hiD));\\n\\n    vec2 yy = show * vec2(val(pA, dim2A) + val(pB, dim2B) + val(pC, dim2C) + val(pD, dim2D),\\n                          val(pA, dim1A) + val(pB, dim1B) + val(pC, dim1C) + val(pD, dim1D));\\n\\n    vec2 dimensionToggle = vec2(x, 1.0 - x);\\n\\n    vec2 scatterToggle = vec2(scatter, 1.0 - scatter);\\n\\n    float y = dot(yy, dimensionToggle);\\n    mat2 xy = mat2(viewBoxSize * yy + dimensionToggle, viewBoxSize * vec2(x, y));\\n\\n    vec2 viewBoxXY = viewBoxPosition + xy * scatterToggle;\\n\\n    float depthOrHide = depth + 2.0 * (1.0 - show);\\n\\n    gl_Position = vec4(\\n        xyProjection * (2.0 * viewBoxXY / resolution - 1.0),\\n        depthOrHide,\\n        1.0\\n    );\\n\\n    // visible coloring\\n    float clampedColorIndex = clamp((prominence - colorClamp[0]) / (colorClamp[1] - colorClamp[0]), 0.0, 1.0);\\n    fragColor = texture2D(palette, vec2((clampedColorIndex * 255.0 + 0.5) / 256.0, 0.5));\\n}\\n\",frag:\"precision lowp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\",primitive:\"lines\",lineWidth:1,attributes:P,uniforms:{resolution:O.prop(\"resolution\"),viewBoxPosition:O.prop(\"viewBoxPosition\"),viewBoxSize:O.prop(\"viewBoxSize\"),dim1A:O.prop(\"dim1A\"),dim2A:O.prop(\"dim2A\"),dim1B:O.prop(\"dim1B\"),dim2B:O.prop(\"dim2B\"),dim1C:O.prop(\"dim1C\"),dim2C:O.prop(\"dim2C\"),dim1D:O.prop(\"dim1D\"),dim2D:O.prop(\"dim2D\"),loA:O.prop(\"loA\"),hiA:O.prop(\"hiA\"),loB:O.prop(\"loB\"),hiB:O.prop(\"hiB\"),loC:O.prop(\"loC\"),hiC:O.prop(\"hiC\"),loD:O.prop(\"loD\"),hiD:O.prop(\"hiD\"),palette:R,colorClamp:O.prop(\"colorClamp\"),scatter:O.prop(\"scatter\")},offset:O.prop(\"offset\"),count:O.prop(\"count\")}),j=[0,1],N=[];return{setColorDomain:y,render:x,readPixel:w,readPixels:M,destroy:O.destroy}}},{\"./constants\":1001,regl:499}],1005:[function(t,e,r){\"use strict\";function n(t){return t.key}function i(t){return[t]}function a(t){return!(\"visible\"in t)||t.visible}function o(t){var e=t.range?t.range[0]:w.min(t.values),r=t.range?t.range[1]:w.max(t.values);return!isNaN(e)&&isFinite(e)||(e=0),!isNaN(r)&&isFinite(r)||(r=0),e===r&&(void 0===e?(e=0,r=1):0===e?(e-=1,r+=1):(e*=.9,r*=1.1)),[e,r]}function s(t,e){var r,n,i,a,o;for(r=0,n=t.range(),i=1/0,a=n[0],o;r<n.length;r++){if((o=Math.abs(n[r]-e))>i)return a;i=o,a=n[r]}return n[n.length-1]}function l(t,e){return function(r,n){if(e){var i=e[n];return null===i||void 0===i?t(r):i}return t(r)}}function u(t,e,r){var n=o(r),i=r.ticktext;return r.tickvals?w.scale.ordinal().domain(r.tickvals.map(l(w.format(r.tickformat),i))).range(r.tickvals.map(function(t){return(t-n[0])/(n[1]-n[0])}).map(function(r){return t-e+r*(e-(t-e))})):w.scale.linear().domain(n).range([t-e,e])}function c(t,e){return w.scale.linear().range([t-e,e])}function h(t){return w.scale.linear().domain(o(t))}function f(t){var e=o(t);return t.tickvals&&w.scale.ordinal().domain(t.tickvals).range(t.tickvals.map(function(t){return(t-e[0])/(e[1]-e[0])}))}function d(t){var e=t.map(function(t){return t[0]}),r=t.map(function(t){return t[1]}),n=r.map(function(t){return w.rgb(t)}),i=function(t){return function(e){return e[t]}},a=\"rgb\".split(\"\").map(function(t){return w.scale.linear().clamp(!0).domain(e).range(n.map(i(t)))});return function(t){return a.map(function(e){return e(t)})}}function p(t){return t[0]}function m(t,e,r){var n=p(e),i=n.trace,o=n.lineColor,s=n.cscale,l=i.line,u=i.domain,c=i.dimensions,f=t.width,m=i.labelfont,v=i.tickfont,g=i.rangefont,y=_.extendDeep({},l,{color:o.map(h({values:o,range:[l.cmin,l.cmax]})),blockLineCount:x.blockLineCount,canvasOverdrag:x.overdrag*x.canvasPixelRatio}),b=Math.floor(f*(u.x[1]-u.x[0])),w=Math.floor(t.height*(u.y[1]-u.y[0])),M=t.margin||{l:80,r:80,t:100,b:80},k=b,A=w;return{key:r,colCount:c.filter(a).length,dimensions:c,tickDistance:x.tickDistance,unitToColor:d(s),lines:y,labelFont:m,tickFont:v,rangeFont:g,translateX:u.x[0]*f,translateY:t.height-u.y[1]*t.height,pad:M,canvasWidth:k*x.canvasPixelRatio+2*y.canvasOverdrag,canvasHeight:A*x.canvasPixelRatio,width:k,height:A,canvasPixelRatio:x.canvasPixelRatio}}function v(t){var e=t.width,r=t.height,n=t.dimensions,i=t.canvasPixelRatio,o=function(r){return e*r/Math.max(1,t.colCount-1)},s=x.verticalPadding/(r*i),l=1-2*s,d=function(t){return s+l*t},p={key:t.key,xScale:o,model:t},m={};return p.dimensions=n.filter(a).map(function(e,n){var a=h(e),s=m[e.label];return m[e.label]=(s||0)+1,{key:e.label+(s?\"__\"+s:\"\"),label:e.label,tickFormat:e.tickformat,tickvals:e.tickvals,ticktext:e.ticktext,ordinal:!!e.tickvals,scatter:x.scatter||e.scatter,xIndex:n,crossfilterDimensionIndex:n,visibleIndex:e._index,height:r,values:e.values,paddedUnitValues:e.values.map(a).map(d),xScale:o,x:o(n),canvasX:o(n)*i,unitScale:c(r,x.verticalPadding),domainScale:u(r,x.verticalPadding,e),ordinalScale:f(e),domainToUnitScale:a,filter:e.constraintrange?e.constraintrange.map(a):[0,1],parent:p,model:t}}),p}function g(t){return x.layers.map(function(e){return{key:e,context:\"contextLineLayer\"===e,pick:\"pickLineLayer\"===e,viewModel:t,model:t.model}})}function y(t){t.classed(\"axisExtentText\",!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"default\").style(\"user-select\",\"none\")}var b=t(\"./lines\"),x=t(\"./constants\"),_=t(\"../../lib\"),w=t(\"d3\"),M=t(\"../../components/drawing\");e.exports=function(t,e,r,a,o){function l(t){var e=t.selectAll(\"defs\").data(i,n);e.enter().append(\"defs\");var r=e.selectAll(\"#filterBarPattern\").data(i,n);r.enter().append(\"pattern\").attr(\"id\",\"filterBarPattern\").attr(\"patternUnits\",\"userSpaceOnUse\"),r.attr(\"x\",-x.bar.width).attr(\"width\",x.bar.capturewidth).attr(\"height\",function(t){return t.model.height});var a=r.selectAll(\"rect\").data(i,n);a.enter().append(\"rect\").attr(\"shape-rendering\",\"crispEdges\"),a.attr(\"height\",function(t){return t.model.height}).attr(\"width\",x.bar.width).attr(\"x\",x.bar.width/2).attr(\"fill\",x.bar.fillcolor).attr(\"fill-opacity\",x.bar.fillopacity).attr(\"stroke\",x.bar.strokecolor).attr(\"stroke-opacity\",x.bar.strokeopacity).attr(\"stroke-width\",x.bar.strokewidth)}function u(t){return t.dimensions.some(function(t){return 0!==t.filter[0]||1!==t.filter[1]})}function c(t,e){for(var r=e.panels||(e.panels=[]),n=t.each(function(t){return t})[e.key].map(function(t){return t.__data__}),i=n.length-1,a=0;a<1;a++)for(var o=0;o<i;o++){var s=r[o+a*i]||(r[o+a*i]={}),l=n[o],u=n[o+1];s.dim1=l,s.dim2=u,s.canvasX=l.canvasX,s.panelSizeX=u.canvasX-l.canvasX,s.panelSizeY=e.model.canvasHeight/1,s.y=a*s.panelSizeY,s.canvasY=e.model.canvasHeight-s.y-s.panelSizeY}}function h(t,e){for(var r=e.panels||(e.panels=[]),n=t.each(function(t){return t})[e.key].map(function(t){return t.__data__}),i=n.length-1,a=i,o=0;o<i;o++)for(var s=0;s<i;s++){var l=r[s+o*i]||(r[s+o*i]={}),u=n[s],c=n[s+1];l.dim1=n[o+1],l.dim2=c,l.canvasX=u.canvasX,l.panelSizeX=c.canvasX-u.canvasX,l.panelSizeY=e.model.canvasHeight/a,l.y=o*l.panelSizeY,l.canvasY=e.model.canvasHeight-l.y-l.panelSizeY}}function f(t,e){return(x.scatter?h:c)(t,e)}function d(t){return t.ordinal?function(){return\"\"}:w.format(t.tickFormat)}function _(){W=!0,T=!0}function k(t){S=!1;var e=t.parent,r=t.brush.extent(),n=e.dimensions,i=n[t.xIndex].filter,a=W&&r[0]===r[1];a&&(t.brush.clear(),w.select(this).select(\"rect.extent\").attr(\"y\",-100));var o=a?[0,1]:r.slice();if(o[0]!==i[0]||o[1]!==i[1]){n[t.xIndex].filter=o,e.focusLineLayer&&e.focusLineLayer.render(e.panels,!0);var s=u(e);!X&&s?(e.contextLineLayer&&e.contextLineLayer.render(e.panels,!0),X=!0):X&&!s&&(e.contextLineLayer&&e.contextLineLayer.render(e.panels,!0,!0),X=!1)}W=!1}function A(t){var e=t.parent,r=t.brush.extent(),n=r[0]===r[1],i=e.dimensions,a=i[t.xIndex].filter;if(!n&&t.ordinal&&(a[0]=s(t.ordinalScale,a[0]),a[1]=s(t.ordinalScale,a[1]),a[0]===a[1]&&(a[0]=Math.max(0,a[0]-.05),a[1]=Math.min(1,a[1]+.05)),w.select(this).transition().duration(150).call(t.brush.extent(a)),e.focusLineLayer.render(e.panels,!0)),e.pickLineLayer&&e.pickLineLayer.render(e.panels,!0),S=!0,T=\"ending\",o&&o.filterChanged){var l=t.domainToUnitScale.invert,u=a.map(l);o.filterChanged(e.key,t.visibleIndex,u)}}var T=!1,S=!0,E=r.filter(function(t){return p(t).trace.visible}).map(m.bind(0,a)).map(v);t.selectAll(\".parcoords-line-layers\").remove();var L=t.selectAll(\".parcoords-line-layers\").data(E,n);L.enter().insert(\"div\",\".\"+e.attr(\"class\").split(\" \").join(\" .\")).classed(\"parcoords-line-layers\",!0).style(\"box-sizing\",\"content-box\"),L.style(\"transform\",function(t){return\"translate(\"+(t.model.translateX-x.overdrag)+\"px,\"+t.model.translateY+\"px)\"});var C=L.selectAll(\".parcoords-lines\").data(g,n),I={renderers:[],dimensions:[]},z=null;C.enter().append(\"canvas\").attr(\"class\",function(t){return\"parcoords-lines \"+(t.context?\"context\":t.pick?\"pick\":\"focus\")}).style(\"box-sizing\",\"content-box\").style(\"float\",\"left\").style(\"clear\",\"both\").style(\"left\",0).style(\"overflow\",\"visible\").style(\"position\",function(t,e){return\"absolute\"}).filter(function(t){return t.pick}).on(\"mousemove\",function(t){if(S&&t.lineLayer&&o&&o.hover){var e=w.event,r=this.width,n=this.height,i=w.mouse(this),a=i[0],s=i[1];if(a<0||s<0||a>=r||s>=n)return;var l=t.lineLayer.readPixel(a,n-1-s),u=0!==l[3],c=u?l[2]+256*(l[1]+256*l[0]):null,h={x:a,y:s,clientX:e.clientX,clientY:e.clientY,dataIndex:t.model.key,curveNumber:c};c!==z&&(u?o.hover(h):o.unhover&&o.unhover(h),z=c)}}),C.style(\"margin\",function(t){var e=t.model.pad;return e.t+\"px \"+e.r+\"px \"+e.b+\"px \"+e.l+\"px\"}).attr(\"width\",function(t){return t.model.canvasWidth}).attr(\"height\",function(t){return t.model.canvasHeight}).style(\"width\",function(t){return t.model.width+2*x.overdrag+\"px\"}).style(\"height\",function(t){return t.model.height+\"px\"}).style(\"opacity\",function(t){return t.pick?.01:1}),e.style(\"background\",\"rgba(255, 255, 255, 0)\");var D=e.selectAll(\".parcoords\").data(E,n);D.exit().remove(),D.enter().append(\"g\").classed(\"parcoords\",!0).attr(\"overflow\",\"visible\").style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"overflow\",\"visible\").style(\"shape-rendering\",\"crispEdges\").style(\"pointer-events\",\"none\").call(l),D.attr(\"width\",function(t){return t.model.width+t.model.pad.l+t.model.pad.r}).attr(\"height\",function(t){return t.model.height+t.model.pad.t+t.model.pad.b\n",
       "}).attr(\"transform\",function(t){return\"translate(\"+t.model.translateX+\",\"+t.model.translateY+\")\"});var P=D.selectAll(\".parcoordsControlView\").data(i,n);P.enter().append(\"g\").classed(\"parcoordsControlView\",!0).style(\"box-sizing\",\"content-box\"),P.attr(\"transform\",function(t){return\"translate(\"+t.model.pad.l+\",\"+t.model.pad.t+\")\"});var O=P.selectAll(\".yAxis\").data(function(t){return t.dimensions},n);O.enter().append(\"g\").classed(\"yAxis\",!0).each(function(t){I.dimensions.push(t)}),P.each(function(t){f(O,t)}),C.each(function(t){t.lineLayer=b(this,t.model.lines,t.model.canvasWidth,t.model.canvasHeight,t.viewModel.dimensions,t.viewModel.panels,t.model.unitToColor,t.context,t.pick,x.scatter),t.viewModel[t.key]=t.lineLayer,I.renderers.push(function(){t.lineLayer.render(t.viewModel.panels,!0)}),t.lineLayer.render(t.viewModel.panels,!t.context)}),O.attr(\"transform\",function(t){return\"translate(\"+t.xScale(t.xIndex)+\", 0)\"}),O.call(w.behavior.drag().origin(function(t){return t}).on(\"drag\",function(t){var e=t.parent;S=!1,T||(t.x=Math.max(-x.overdrag,Math.min(t.model.width+x.overdrag,w.event.x)),t.canvasX=t.x*t.model.canvasPixelRatio,O.sort(function(t,e){return t.x-e.x}).each(function(e,r){e.xIndex=r,e.x=t===e?e.x:e.xScale(e.xIndex),e.canvasX=e.x*e.model.canvasPixelRatio}),f(O,e),O.filter(function(e){return 0!==Math.abs(t.xIndex-e.xIndex)}).attr(\"transform\",function(t){return\"translate(\"+t.xScale(t.xIndex)+\", 0)\"}),w.select(this).attr(\"transform\",\"translate(\"+t.x+\", 0)\"),O.each(function(r,n,i){i===t.parent.key&&(e.dimensions[n]=r)}),e.contextLineLayer&&e.contextLineLayer.render(e.panels,!1,!u(e)),e.focusLineLayer.render&&e.focusLineLayer.render(e.panels))}).on(\"dragend\",function(t){var e=t.parent;if(T)return void(\"ending\"===T&&(T=!1));t.x=t.xScale(t.xIndex),t.canvasX=t.x*t.model.canvasPixelRatio,f(O,e),w.select(this).attr(\"transform\",function(t){return\"translate(\"+t.x+\", 0)\"}),e.contextLineLayer&&e.contextLineLayer.render(e.panels,!1,!u(e)),e.focusLineLayer&&e.focusLineLayer.render(e.panels),e.pickLineLayer&&e.pickLineLayer.render(e.panels,!0),S=!0,o&&o.axesMoved&&o.axesMoved(e.key,e.dimensions.map(function(t){return t.crossfilterDimensionIndex}))})),O.exit().remove();var R=O.selectAll(\".axisOverlays\").data(i,n);R.enter().append(\"g\").classed(\"axisOverlays\",!0),R.selectAll(\".axis\").remove();var F=R.selectAll(\".axis\").data(i,n);F.enter().append(\"g\").classed(\"axis\",!0),F.each(function(t){var e=t.model.height/t.model.tickDistance,r=t.domainScale,n=r.domain();w.select(this).call(w.svg.axis().orient(\"left\").tickSize(4).outerTickSize(2).ticks(e,t.tickFormat).tickValues(t.ordinal?n:null).tickFormat(t.ordinal?function(t){return t}:null).scale(r)),M.font(F.selectAll(\"text\"),t.model.tickFont)}),F.selectAll(\".domain, 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U=B.selectAll(\".axisExtentTop\").data(i,n);U.enter().append(\"g\").classed(\"axisExtentTop\",!0),U.attr(\"transform\",\"translate(0,\"+-x.axisExtentOffset+\")\");var V=U.selectAll(\".axisExtentTopText\").data(i,n);V.enter().append(\"text\").classed(\"axisExtentTopText\",!0).attr(\"alignment-baseline\",\"after-edge\").call(y),V.text(function(t){return d(t)(t.domainScale.domain().slice(-1)[0])}).each(function(t){M.font(V,t.model.rangeFont)});var H=B.selectAll(\".axisExtentBottom\").data(i,n);H.enter().append(\"g\").classed(\"axisExtentBottom\",!0),H.attr(\"transform\",function(t){return\"translate(0,\"+(t.model.height+x.axisExtentOffset)+\")\"});var q=H.selectAll(\".axisExtentBottomText\").data(i,n);q.enter().append(\"text\").classed(\"axisExtentBottomText\",!0).attr(\"alignment-baseline\",\"before-edge\").call(y),q.text(function(t){return d(t)(t.domainScale.domain()[0])}).each(function(t){M.font(q,t.model.rangeFont)});var 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n=t(\"../scattergl/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"}}},{\"../scattergl/attributes\":1077}],1019:[function(t,e,r){\"use strict\";function n(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=a(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}function i(t,e){var r=new n(t,e.uid);return r.update(e),r}var a=t(\"gl-pointcloud2d\"),o=t(\"../../lib/str2rgbarray\"),s=t(\"../scatter/get_trace_color\"),l=[\"xaxis\",\"yaxis\"],u=n.prototype;u.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},u.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=s(t,{})},u.updateFast=function(t){var e,r,n,i,a,s,l=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,c=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,f=t.indices,d=this.bounds;if(c){if(n=c,e=c.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(s=0;s<e;s++)i=n[2*s],a=n[2*s+1],i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),a<d[1]&&(d[1]=a),a>d[3]&&(d[3]=a);if(f)r=f;else for(r=new Int32Array(e),s=0;s<e;s++)r[s]=s}else for(e=l.length,n=new Float32Array(2*e),r=new 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r,n,i,a=e||.5,o=0;o<2;o++)r=this.scene[l[o]],n=r._min,n||(n=[]),n.push({val:t[o],pad:a}),i=r._max,i||(i=[]),i.push({val:t[o+2],pad:a})},u.dispose=function(){this.pointcloud.dispose()},e.exports=i},{\"../../lib/str2rgbarray\":749,\"../scatter/get_trace_color\":1040,\"gl-pointcloud2d\":230}],1020:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\");e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a(\"text\"),a(\"marker.color\",r),a(\"marker.opacity\"),a(\"marker.blend\"),a(\"marker.sizemin\"),a(\"marker.sizemax\"),a(\"marker.border.color\",r),a(\"marker.border.arearatio\")}},{\"../../lib\":728,\"./attributes\":1018}],1021:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.calc=t(\"../scatter3d/calc\"),n.plot=t(\"./convert\"),n.moduleType=\"trace\",n.name=\"pointcloud\",n.basePlotModule=t(\"../../plots/gl2d\"),n.categories=[\"gl2d\",\"showLegend\"],n.meta={},e.exports=n},{\"../../plots/gl2d\":808,\"../scatter3d/calc\":1056,\"./attributes\":1018,\"./convert\":1019,\"./defaults\":1020}],1022:[function(t,e,r){\"use strict\";var n=t(\"../../plots/font_attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/color/attributes\"),o=t(\"../../components/fx/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;e.exports=l({hoverinfo:s({},i.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hoverlabel:o.hoverlabel,domain:{x:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]},y:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]}},orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\"},valueformat:{valType:\"string\",dflt:\".3s\"},valuesuffix:{valType:\"string\",dflt:\"\"},arrangement:{valType:\"enumerated\",values:[\"snap\",\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"snap\"},textfont:n({}),node:{label:{valType:\"data_array\",dflt:[]},color:{valType:\"color\",arrayOk:!0},line:{color:{valType:\"color\",dflt:a.defaultLine,arrayOk:!0},width:{valType:\"number\",min:0,dflt:.5,arrayOk:!0}},pad:{valType:\"number\",arrayOk:!1,min:0,dflt:20},thickness:{valType:\"number\",arrayOk:!1,min:1,dflt:20}},link:{label:{valType:\"data_array\",dflt:[]},color:{valType:\"color\",arrayOk:!0},line:{color:{valType:\"color\",dflt:a.defaultLine,arrayOk:!0},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0}},source:{valType:\"data_array\",dflt:[]},target:{valType:\"data_array\",dflt:[]},value:{valType:\"data_array\",dflt:[]}}},\"calc\",\"nested\")},{\"../../components/color/attributes\":603,\"../../components/fx/attributes\":637,\"../../lib/extend\":717,\"../../plot_api/edit_types\":756,\"../../plots/attributes\":770,\"../../plots/font_attributes\":796}],1023:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../plots/plots\"),a=t(\"./plot\"),o=t(\"../../components/fx/layout_attributes\");r.name=\"sankey\",r.attr=\"type\",r.baseLayoutAttrOverrides=n({hoverlabel:o.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){var e=i.getSubplotCalcData(t.calcdata,\"sankey\",\"sankey\");e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"sankey\"),a=e._has&&e._has(\"sankey\");i&&!a&&n._paperdiv.selectAll(\".sankey\").remove()}},{\"../../components/fx/layout_attributes\":646,\"../../plot_api/edit_types\":756,\"../../plots/plots\":831,\"./plot\":1028}],1024:[function(t,e,r){\"use strict\";function n(t,e,r){for(var n=t.map(function(){return[]}),a=0;a<Math.min(e.length,r.length);a++){if(e[a]===r[a])return!0;n[e[a]].push(r[a])}return i(n).components.some(function(t){return t.length>1})}var i=t(\"strongly-connected-components\"),a=t(\"../../lib\");e.exports=function(t,e){return n(e.node.label,e.link.source,e.link.target)&&(a.error(\"Circularity is present in the Sankey data. Removing all nodes and links.\"),e.link.label=[],e.link.source=[],e.link.target=[],e.link.value=[],e.link.color=[],e.node.label=[],e.node.color=[]),[{link:e.link,node:e.node}]}},{\"../../lib\":728,\"strongly-connected-components\":528}],1025:[function(t,e,r){\"use strict\";e.exports={nodeTextOffsetHorizontal:4,nodeTextOffsetVertical:3,nodePadAcross:10,sankeyIterations:50,forceIterations:5,forceTicksPerFrame:10,duration:500,ease:\"cubic-in-out\"}},{}],1026:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\"),a=t(\"../../components/color/attributes\").defaults,o=t(\"../../components/color\"),s=t(\"tinycolor2\");e.exports=function(t,e,r,l){function u(r,a){return n.coerce(t,e,i,r,a)}u(\"node.label\"),u(\"node.pad\"),u(\"node.thickness\"),u(\"node.line.color\"),u(\"node.line.width\");var c=function(t){return a[t%a.length]};u(\"node.color\",e.node.label.map(function(t,e){return o.addOpacity(c(e),.8)})),u(\"link.label\"),u(\"link.source\"),u(\"link.target\"),u(\"link.value\"),u(\"link.line.color\"),u(\"link.line.width\"),u(\"link.color\",e.link.value.map(function(){return s(l.paper_bgcolor).getLuminance()<.333?\"rgba(255, 255, 255, 0.6)\":\"rgba(0, 0, 0, 0.2)\"})),u(\"domain.x\"),u(\"domain.y\"),u(\"orientation\"),u(\"valueformat\"),u(\"valuesuffix\"),u(\"arrangement\"),n.coerceFont(u,\"textfont\",n.extendFlat({},l.font));var h=function(t,r){return-1===e.link.source.indexOf(r)&&-1===e.link.target.indexOf(r)};e.node.label.some(h)&&n.warn(\"Some of the nodes are neither sources nor targets, they will not be displayed.\")}},{\"../../components/color\":604,\"../../components/color/attributes\":603,\"../../lib\":728,\"./attributes\":1022,tinycolor2:534}],1027:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.calc=t(\"./calc\"),n.plot=t(\"./plot\"),n.moduleType=\"trace\",n.name=\"sankey\",n.basePlotModule=t(\"./base_plot\"),n.categories=[\"noOpacity\"],n.meta={},e.exports=n},{\"./attributes\":1022,\"./base_plot\":1023,\"./calc\":1024,\"./defaults\":1026,\"./plot\":1028}],1028:[function(t,e,r){\"use strict\";function n(t){return\"\"!==t}function i(t,e){return t.filter(function(t){return t.key===e.traceId})}function a(t,e){p.select(t).select(\"path\").style(\"fill-opacity\",e),p.select(t).select(\"rect\").style(\"fill-opacity\",e)}function o(t){p.select(t).select(\"text.name\").style(\"fill\",\"black\")}function s(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function l(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function u(t,e,r){\n",
       "e&&r&&i(r,e).selectAll(\".sankeyLink\").filter(s(e)).call(h.bind(0,e,r,!1))}function c(t,e,r){e&&r&&i(r,e).selectAll(\".sankeyLink\").filter(s(e)).call(f.bind(0,e,r,!1))}function h(t,e,r,n){var a=n.datum().link.label;n.style(\"fill-opacity\",.4),a&&i(e,t).selectAll(\".sankeyLink\").filter(function(t){return t.link.label===a}).style(\"fill-opacity\",.4),r&&i(e,t).selectAll(\".sankeyNode\").filter(l(t)).call(u)}function f(t,e,r,n){var a=n.datum().link.label;n.style(\"fill-opacity\",function(t){return t.tinyColorAlpha}),a&&i(e,t).selectAll(\".sankeyLink\").filter(function(t){return t.link.label===a}).style(\"fill-opacity\",function(t){return t.tinyColorAlpha}),r&&i(e,t).selectAll(\".sankeyNode\").filter(l(t)).call(c)}function d(t,e){var r=t.hoverlabel||{},n=y.nestedProperty(r,e).get();return!Array.isArray(n)&&n}var p=t(\"d3\"),m=t(\"./render\"),v=t(\"../../components/fx\"),g=t(\"../../components/color\"),y=t(\"../../lib\");e.exports=function(t,e){var r=t._fullLayout,i=r._paper,s=r._size,l=function(e,r){var n=r.link;n.originalEvent=p.event,t._hoverdata=[n],v.click(t,{target:!0})},y=function(e,r,n){var i=r.link;i.originalEvent=p.event,p.select(e).call(h.bind(0,r,n,!0)),v.hover(t,i,\"sankey\")},b=function(e,i){var s=i.link.trace,l=t._fullLayout._paperdiv.node().getBoundingClientRect(),u=e.getBoundingClientRect(),c=u.left+u.width/2,h=u.top+u.height/2,f=v.loneHover({x:c-l.left,y:h-l.top,name:p.format(i.valueFormat)(i.link.value)+i.valueSuffix,text:[i.link.label||\"\",[\"Source:\",i.link.source.label].join(\" \"),[\"Target:\",i.link.target.label].join(\" \")].filter(n).join(\"<br>\"),color:d(s,\"bgcolor\")||g.addOpacity(i.tinyColorHue,1),borderColor:d(s,\"bordercolor\"),fontFamily:d(s,\"font.family\"),fontSize:d(s,\"font.size\"),fontColor:d(s,\"font.color\"),idealAlign:p.event.x<c?\"right\":\"left\"},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});a(f,.65),o(f)},x=function(e,n,i){p.select(e).call(f.bind(0,n,i,!0)),t.emit(\"plotly_unhover\",{event:p.event,points:[n.link]}),v.loneUnhover(r._hoverlayer.node())},_=function(e,r,n){var i=r.node;i.originalEvent=p.event,t._hoverdata=[i],p.select(e).call(c,r,n),v.click(t,{target:!0})},w=function(e,r,n){var i=r.node;i.originalEvent=p.event,p.select(e).call(u,r,n),v.hover(t,i,\"sankey\")},M=function(e,i){var s=i.node.trace,l=p.select(e).select(\".nodeRect\"),u=t._fullLayout._paperdiv.node().getBoundingClientRect(),c=l.node().getBoundingClientRect(),h=c.left-2-u.left,f=c.right+2-u.left,m=c.top+c.height/4-u.top,g=v.loneHover({x0:h,x1:f,y:m,name:p.format(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,[\"Incoming flow count:\",i.node.targetLinks.length].join(\" \"),[\"Outgoing flow count:\",i.node.sourceLinks.length].join(\" 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u(M),{key:r,trace:i,guid:Math.floor(1e12*(1+Math.random())),horizontal:h,width:_,height:w,nodePad:f,nodeLineColor:p,nodeLineWidth:m,linkLineColor:v,linkLineWidth:g,valueFormat:y,valueSuffix:b,textFont:x,translateX:o.x[0]*_+t.margin.l,translateY:t.height-o.y[1]*t.height+t.margin.t,dragParallel:h?w:_,dragPerpendicular:h?_:w,nodes:M,links:k,arrangement:c,sankey:A,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function f(t,e,r){var n=P(r.color),i=r.source.label+\"|\"+r.target.label,a=t[i];t[i]=(a||0)+1;var o=i+\"__\"+t[i];return r.trace=e.trace,r.curveNumber=e.trace.index,{key:o,traceId:e.key,link:r,tinyColorHue:O.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkLineColor:e.linkLineColor,linkLineWidth:e.linkLineWidth,valueFormat:e.valueFormat,valueSuffix:e.valueSuffix,sankey:e.sankey,interactionState:e.interactionState}}function d(t,e,r){var n=P(r.color),i=z.nodePadAcross,a=e.nodePad/2,o=r.dx,s=Math.max(.5,r.dy),l=r.label,u=t[l];t[l]=(u||0)+1;var c=l+\"__\"+t[l];return 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a(t).trace.visible}).map(h.bind(null,r)),n);l.exit().remove(),l.enter().append(\"g\").classed(\"sankey\",!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",\"auto\").style(\"box-sizing\",\"content-box\").attr(\"transform\",x),l.transition().ease(z.ease).duration(z.duration).attr(\"transform\",x);var u=l.selectAll(\".sankeyLinks\").data(i,n);u.enter().append(\"g\").classed(\"sankeyLinks\",!0).style(\"fill\",\"none\");var c=u.selectAll(\".sankeyLink\").data(function(t){var e={};return t.sankey.links().filter(function(t){return t.value}).map(f.bind(null,e,t))},n);c.enter().append(\"path\").classed(\"sankeyLink\",!0).attr(\"d\",m).call(S,l,s.linkEvents),c.style(\"stroke\",function(t){return b(t)?O.tinyRGB(P(t.linkLineColor)):t.tinyColorHue}).style(\"stroke-opacity\",function(t){return 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n=t(\"../../components/colorscale/color_attributes\"),i=t(\"../../components/errorbars/attributes\"),a=t(\"../../components/colorbar/attributes\"),o=t(\"../../plots/font_attributes\"),s=t(\"../../components/drawing/attributes\").dash,l=t(\"../../components/drawing\"),u=(t(\"./constants\"),t(\"../../lib/extend\").extendFlat);e.exports={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},x0:{valType:\"any\",dflt:0,editType:\"calc+clearAxisTypes\"},dx:{valType:\"number\",dflt:1,editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y0:{valType:\"any\",dflt:0,editType:\"calc+clearAxisTypes\"},dy:{valType:\"number\",dflt:1,editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\",\"text\"],extras:[\"none\"],editType:\"calc\"},hoveron:{valType:\"flaglist\",flags:[\"points\",\"fills\"],editType:\"style\"},line:{color:{valType:\"color\",editType:\"style\"},width:{valType:\"number\",min:0,dflt:2,editType:\"style\"},shape:{valType:\"enumerated\",values:[\"linear\",\"spline\",\"hv\",\"vh\",\"hvh\",\"vhv\"],dflt:\"linear\",editType:\"plot\"},smoothing:{valType:\"number\",min:0,max:1.3,dflt:1,editType:\"plot\"},dash:u({},s,{editType:\"style\"}),simplify:{valType:\"boolean\",dflt:!0,editType:\"plot\"},editType:\"plot\"},connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},cliponaxis:{valType:\"boolean\",dflt:!0,editType:\"plot\"},fill:{valType:\"enumerated\",values:[\"none\",\"tozeroy\",\"tozerox\",\"tonexty\",\"tonextx\",\"toself\",\"tonext\"],dflt:\"none\",editType:\"calc\"},fillcolor:{valType:\"color\",editType:\"style\"},marker:u({symbol:{valType:\"enumerated\",values:l.symbolList,dflt:\"circle\",arrayOk:!0,editType:\"style\"},opacity:{valType:\"number\",min:0,max:1,arrayOk:!0,editType:\"style\"},size:{valType:\"number\",min:0,dflt:6,arrayOk:!0,editType:\"calcIfAutorange\"},maxdisplayed:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},sizeref:{valType:\"number\",dflt:1,editType:\"calc\"},sizemin:{valType:\"number\",min:0,dflt:0,editType:\"calc\"},sizemode:{valType:\"enumerated\",values:[\"diameter\",\"area\"],dflt:\"diameter\",editType:\"calc\"},showscale:{valType:\"boolean\",dflt:!1,editType:\"calc\"},colorbar:a,line:u({width:{valType:\"number\",min:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},n(\"marker.line\")),gradient:{type:{valType:\"enumerated\",values:[\"radial\",\"horizontal\",\"vertical\",\"none\"],arrayOk:!0,dflt:\"none\",editType:\"calc\"},color:{valType:\"color\",arrayOk:!0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},n(\"marker\")),textposition:{valType:\"enumerated\",values:[\"top 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r,u,c,h=i.getFromId(t,e.xaxis||\"x\"),f=i.getFromId(t,e.yaxis||\"y\"),d=h.makeCalcdata(e,\"x\"),p=f.makeCalcdata(e,\"y\"),m=Math.min(d.length,p.length);h._minDtick=0,f._minDtick=0,d.length>m&&d.splice(m,d.length-m),p.length>m&&p.splice(m,p.length-m);var v={padded:!0},g={padded:!0};if(o.hasMarkers(e)){if(r=e.marker,u=r.size,Array.isArray(u)){var y={type:\"linear\"};i.setConvert(y),u=y.makeCalcdata(e.marker,\"size\"),u.length>m&&u.splice(m,u.length-m)}var b,x=1.6*(e.marker.sizeref||1);b=\"area\"===e.marker.sizemode?function(t){return Math.max(Math.sqrt((t||0)/x),3)}:function(t){return 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i=t(\"../scatter/attributes\"),a=t(\"../../components/colorscale/color_attributes\"),o=t(\"../../components/errorbars/attributes\"),s=t(\"../../constants/gl3d_dashes\"),l=t(\"../../constants/gl3d_markers\"),u=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll,h=i.line,f=i.marker,d=f.line,p=e.exports=c({x:i.x,y:i.y,z:{valType:\"data_array\"},text:u({},i.text,{}),hovertext:u({},i.hovertext,{}),mode:u({},i.mode,{dflt:\"lines+markers\"}),surfaceaxis:{valType:\"enumerated\",values:[-1,0,1,2],dflt:-1},surfacecolor:{valType:\"color\"},projection:{x:n(\"x\"),y:n(\"y\"),z:n(\"z\")},connectgaps:i.connectgaps,line:u({width:h.width,dash:{valType:\"enumerated\",values:Object.keys(s),dflt:\"solid\"},showscale:{valType:\"boolean\",dflt:!1}},a(\"line\")),marker:u({symbol:{valType:\"enumerated\",values:Object.keys(l),dflt:\"circle\",arrayOk:!0},size:u({},f.size,{dflt:8}),sizeref:f.sizeref,sizemin:f.sizemin,sizemode:f.sizemode,opacity:u({},f.opacity,{arrayOk:!1}),showscale:f.showscale,colorbar:f.colorbar,line:u({width:u({},d.width,{arrayOk:!1})},a(\"marker.line\"))},a(\"marker\")),textposition:u({},i.textposition,{dflt:\"top 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u=t.opacity;if(t.marker&&t.marker.opacity&&(u*=t.marker.opacity),r={gl:o,position:l.position,color:l.scatterColor,size:l.scatterSize,glyph:l.scatterMarker,opacity:u,orthographic:!0,lineWidth:l.scatterLineWidth,lineColor:l.scatterLineColor,project:l.project,projectScale:l.projectScale,projectOpacity:l.projectOpacity},-1!==this.mode.indexOf(\"markers\")?this.scatterPlot?this.scatterPlot.update(r):(this.scatterPlot=p(r),this.scatterPlot._trace=this,this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),a={gl:o,position:l.position,glyph:l.text,color:l.textColor,size:l.textSize,angle:l.textAngle,alignment:l.textOffset,font:l.textFont,orthographic:!0,lineWidth:0,project:!1,opacity:t.opacity},this.textLabels=t.hovertext||t.text,-1!==this.mode.indexOf(\"text\")?this.textMarkers?this.textMarkers.update(a):(this.textMarkers=p(a),this.textMarkers._trace=this,this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),n={gl:o,position:l.position,color:l.errorColor,error:l.errorBounds,lineWidth:l.errorLineWidth,capSize:l.errorCapSize,opacity:t.opacity},this.errorBars?l.errorBounds?this.errorBars.update(n):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):l.errorBounds&&(this.errorBars=m(n),this.errorBars._trace=this,this.scene.glplot.add(this.errorBars)),l.delaunayAxis>=0){var 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a=0,o=r(\"x\"),s=r(\"y\"),l=r(\"z\");return i.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],n),o&&s&&l&&(a=Math.min(o.length,s.length,l.length),a<o.length&&(e.x=o.slice(0,a)),a<s.length&&(e.y=s.slice(0,a)),a<l.length&&(e.z=l.slice(0,a))),a}var i=t(\"../../registry\"),a=t(\"../../lib\"),o=t(\"../scatter/subtypes\"),s=t(\"../scatter/marker_defaults\"),l=t(\"../scatter/line_defaults\"),u=t(\"../scatter/text_defaults\"),c=t(\"../../components/errorbars/defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,i){function f(r,n){return a.coerce(t,e,h,r,n)}if(!n(t,e,f,i))return void(e.visible=!1);f(\"text\"),f(\"hovertext\"),f(\"mode\"),o.hasLines(e)&&(f(\"connectgaps\"),l(t,e,r,i,f)),o.hasMarkers(e)&&s(t,e,r,i,f),o.hasText(e)&&u(t,e,i,f);var d=(e.line||{}).color,p=(e.marker||{}).color;f(\"surfaceaxis\")>=0&&f(\"surfacecolor\",d||p);for(var m=[\"x\",\"y\",\"z\"],v=0;v<3;++v){var g=\"projection.\"+m[v];f(g+\".show\")&&(f(g+\".opacity\"),f(g+\".scale\"))}c(t,e,r,{axis:\"z\"}),c(t,e,r,{axis:\"y\",inherit:\"z\"}),c(t,e,r,{axis:\"x\",inherit:\"z\"})}},{\"../../components/errorbars/defaults\":633,\"../../lib\":728,\"../../registry\":846,\"../scatter/line_defaults\":1043,\"../scatter/marker_defaults\":1048,\"../scatter/subtypes\":1052,\"../scatter/text_defaults\":1053,\"./attributes\":1055}],1060:[function(t,e,r){\"use strict\";var n={};n.plot=t(\"./convert\"),n.attributes=t(\"./attributes\"),n.markerSymbols=t(\"../../constants/gl3d_markers\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.moduleType=\"trace\",n.name=\"scatter3d\",n.basePlotModule=t(\"../../plots/gl3d\"),n.categories=[\"gl3d\",\"symbols\",\"markerColorscale\",\"showLegend\"],n.meta={},e.exports=n},{\"../../constants/gl3d_markers\":705,\"../../plots/gl3d\":811,\"../scatter/colorbar\":1034,\"./attributes\":1055,\"./calc\":1056,\"./convert\":1058,\"./defaults\":1059}],1061:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/colorscale/color_attributes\"),o=t(\"../../components/colorbar/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=n.marker,u=n.line,c=l.line;e.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:s({},n.mode,{dflt:\"markers\"}),text:s({},n.text,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:s({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:s({},n.fill,{values:[\"none\",\"toself\",\"tonext\"]}),fillcolor:n.fillcolor,marker:s({symbol:l.symbol,opacity:l.opacity,maxdisplayed:l.maxdisplayed,size:l.size,sizeref:l.sizeref,sizemin:l.sizemin,sizemode:l.sizemode,line:s({width:c.width,editType:\"calc\"},a(\"marker\".line)),gradient:l.gradient,editType:\"calc\"},a(\"marker\"),{showscale:l.showscale,colorbar:o}),textfont:n.textfont,textposition:n.textposition,hoverinfo:s({},i.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron}},{\"../../components/colorbar/attributes\":605,\"../../components/colorscale/color_attributes\":611,\"../../lib/extend\":717,\"../../plots/attributes\":770,\"../scatter/attributes\":1031}],1062:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/colorscale_calc\"),s=t(\"../scatter/arrays_to_calcdata\"),l=t(\"../carpet/lookup_carpetid\");e.exports=function(t,e){var r=e.carpetTrace=l(t,e);if(r&&r.visible&&\"legendonly\"!==r.visible){var u;e.xaxis=r.xaxis,e.yaxis=r.yaxis;var c,h,f=e.a.length,d=new Array(f),p=!1;for(u=0;u<f;u++)if(c=e.a[u],h=e.b[u],n(c)&&n(h)){var m=r.ab2xy(+c,+h,!0),v=r.isVisible(+c,+h);v||(p=!0),d[u]={x:m[0],y:m[1],a:c,b:h,vis:v}}else d[u]={x:!1,y:!1};e._needsCull=p,d[0].carpet=r,d[0].trace=e;var g,y;if(a.hasMarkers(e)&&(g=e.marker,y=g.size,Array.isArray(y))){var b={type:\"linear\"};i.setConvert(b),y=b.makeCalcdata(e.marker,\"size\"),y.length>f&&y.splice(f,y.length-f)}return o(e),s(d,e),d}}},{\"../../plots/cartesian/axes\":772,\"../carpet/lookup_carpetid\":903,\"../scatter/arrays_to_calcdata\":1030,\"../scatter/colorscale_calc\":1035,\"../scatter/subtypes\":1052,\"fast-isnumeric\":131}],1063:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),u=t(\"../scatter/text_defaults\"),c=t(\"../scatter/fillcolor_defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,f){function d(r,i){return n.coerce(t,e,h,r,i)}d(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var p,m=d(\"a\"),v=d(\"b\");if(!(p=Math.min(m.length,v.length)))return void(e.visible=!1);m&&p<m.length&&(e.a=m.slice(0,p)),v&&p<v.length&&(e.b=v.slice(0,p)),d(\"text\"),d(\"mode\",p<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,f,d),l(t,e,d),d(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,f,d,{gradient:!0}),a.hasText(e)&&u(t,e,f,d);var g=[];(a.hasMarkers(e)||a.hasText(e))&&(d(\"marker.maxdisplayed\"),g.push(\"points\")),d(\"fill\"),\"none\"!==e.fill&&(c(t,e,r,d),a.hasLines(e)||l(t,e,d)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||g.push(\"fills\"),d(\"hoveron\",g.join(\"+\")||\"points\")}},{\"../../lib\":728,\"../scatter/constants\":1036,\"../scatter/fillcolor_defaults\":1039,\"../scatter/line_defaults\":1043,\"../scatter/line_shape_defaults\":1045,\"../scatter/marker_defaults\":1048,\"../scatter/subtypes\":1052,\"../scatter/text_defaults\":1053,\"./attributes\":1061}],1064:[function(t,e,r){\"use strict\";var n=t(\"../scatter/hover\");e.exports=function(t,e,r,i){function a(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,g.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}var o=n(t,e,r,i);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,u=t.xa._length,c=u*l/2,h=u-c;return s.x0=Math.max(Math.min(s.x0,h),c),s.x1=Math.max(Math.min(s.x1,h),c),o}var f=s.cd[s.index];s.a=f.a,s.b=f.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var d=s.trace,p=d._carpet,m=f.hi||d.hoverinfo,v=m.split(\"+\"),g=[];-1!==v.indexOf(\"all\")&&(v=[\"a\",\"b\"]),-1!==v.indexOf(\"a\")&&a(p.aaxis,f.a),-1!==v.indexOf(\"b\")&&a(p.baxis,f.b);var y=p.ab2ij([f.a,f.b]),b=Math.floor(y[0]),x=y[0]-b,_=Math.floor(y[1]),w=y[1]-_,M=p.evalxy([],b,_,x,w);return g.push(\"y: \"+M[1].toFixed(3)),s.extraText=g.join(\"<br>\"),o}}},{\"../scatter/hover\":1041}],1065:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.plot=t(\"./plot\"),n.style=t(\"./style\"),n.hoverPoints=t(\"./hover\"),n.selectPoints=t(\"./select\"),n.moduleType=\"trace\",n.name=\"scattercarpet\",n.basePlotModule=t(\"../../plots/cartesian\"),n.categories=[\"carpet\",\"symbols\",\"markerColorscale\",\"showLegend\",\"carpetDependent\"],n.meta={},e.exports=n},{\"../../plots/cartesian\":782,\"../scatter/colorbar\":1034,\"./attributes\":1061,\"./calc\":1062,\"./defaults\":1063,\"./hover\":1064,\"./plot\":1066,\"./select\":1067,\"./style\":1068}],1066:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../components/drawing\");e.exports=function(t,e,r){var o,s,l,u=r[0][0].carpet,c={xaxis:i.getFromId(t,u.xaxis||\"x\"),yaxis:i.getFromId(t,u.yaxis||\"y\"),plot:e.plot};for(n(t,c,r),o=0;o<r.length;o++)s=r[o][0].trace,l=c.plot.selectAll(\"g.trace\"+s.uid+\" .js-line\"),a.setClipUrl(l,u._clipPathId)}},{\"../../components/drawing\":628,\"../../plots/cartesian/axes\":772,\"../scatter/plot\":1049}],1067:[function(t,e,r){\"use strict\";var n=t(\"../scatter/select\");e.exports=function(t,e){var r=n(t,e);if(r){var i,a,o,s=t.cd;for(o=0;o<r.length;o++)i=r[o],a=s[i.pointNumber],i.a=a.a,i.b=a.b,i.c=a.c,delete i.x,delete i.y;return r}}},{\"../scatter/select\":1050}],1068:[function(t,e,r){\"use strict\";var n=t(\"../scatter/style\");e.exports=function(t){for(var e=t._fullLayout._modules,r=0;r<e.length;r++)if(\"scatter\"===e[r].name)return;n(t)}},{\"../scatter/style\":1051}],1069:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/colorscale/color_attributes\"),o=t(\"../../components/drawing/attributes\").dash,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll,u=n.marker,c=n.line,h=u.line;e.exports=l({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country names\"],dflt:\"ISO-3\"},mode:s({},n.mode,{dflt:\"markers\"}),text:s({},n.text,{}),hovertext:s({},n.hovertext,{}),textfont:n.textfont,textposition:n.textposition,line:{color:c.color,width:c.width,dash:o},connectgaps:n.connectgaps,marker:s({symbol:u.symbol,opacity:u.opacity,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,showscale:u.showscale,colorbar:u.colorbar,line:s({width:h.width},a(\"marker.line\")),gradient:u.gradient},a(\"marker\")),fill:{valType:\"enumerated\",values:[\"none\",\"toself\"],dflt:\"none\"},fillcolor:n.fillcolor,hoverinfo:s({},i.hoverinfo,{flags:[\"lon\",\"lat\",\"location\",\"text\",\"name\"]})},\"calc\",\"nested\")},{\"../../components/colorscale/color_attributes\":611,\"../../components/drawing/attributes\":627,\"../../lib/extend\":717,\"../../plot_api/edit_types\":756,\"../../plots/attributes\":770,\"../scatter/attributes\":1031}],1070:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../scatter/colorscale_calc\"),o=t(\"../scatter/arrays_to_calcdata\");e.exports=function(t,e){for(var r=Array.isArray(e.locations),s=r?e.locations.length:e.lon.length,l=new Array(s),u=0;u<s;u++){var c=l[u]={};if(r){var h=e.locations[u];c.loc=\"string\"==typeof h?h:null}else{var f=e.lon[u],d=e.lat[u];n(f)&&n(d)?c.lonlat=[+f,+d]:c.lonlat=[i,i]}}return o(l,e),a(e),l}},{\"../../constants/numerical\":707,\"../scatter/arrays_to_calcdata\":1030,\"../scatter/colorscale_calc\":1035,\"fast-isnumeric\":131}],1071:[function(t,e,r){\"use strict\";function n(t,e,r){var n,i,a=0,o=r(\"locations\");return o?(r(\"locationmode\"),a=o.length):(n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length),a<n.length&&(e.lon=n.slice(0,a)),a<i.length&&(e.lat=i.slice(0,a)),a)}var i=t(\"../../lib\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,h){function f(r,n){return i.coerce(t,e,c,r,n)}if(!n(t,e,f))return void(e.visible=!1);f(\"text\"),f(\"hovertext\"),f(\"mode\"),a.hasLines(e)&&(s(t,e,r,h,f),f(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,h,f,{gradient:!0}),a.hasText(e)&&l(t,e,h,f),f(\"fill\"),\"none\"!==e.fill&&u(t,e,r,f)}},{\"../../lib\":728,\"../scatter/fillcolor_defaults\":1039,\"../scatter/line_defaults\":1043,\"../scatter/marker_defaults\":1048,\"../scatter/subtypes\":1052,\"../scatter/text_defaults\":1053,\"./attributes\":1069}],1072:[function(t,e,r){\"use strict\";e.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null,t}},{}],1073:[function(t,e,r){\"use strict\";function n(t,e,r){function n(t){return a.tickText(r,r.c2l(t),\"hover\").text+\"\\xb0\"}var i=e.hi||t.hoverinfo,o=\"all\"===i?u.hoverinfo.flags:i.split(\"+\"),s=-1!==o.indexOf(\"location\")&&Array.isArray(t.locations),c=-1!==o.indexOf(\"lon\"),h=-1!==o.indexOf(\"lat\"),f=-1!==o.indexOf(\"text\"),d=[];return s?d.push(e.loc):c&&h?d.push(\"(\"+n(e.lonlat[0])+\", \"+n(e.lonlat[1])+\")\"):c?d.push(\"lon: \"+n(e.lonlat[0])):h&&d.push(\"lat: \"+n(e.lonlat[1])),f&&l(e,t,d),d.join(\"<br>\")}var i=t(\"../../components/fx\"),a=t(\"../../plots/cartesian/axes\"),o=t(\"../../constants/numerical\").BADNUM,s=t(\"../scatter/get_trace_color\"),l=t(\"../scatter/fill_hover_text\"),u=t(\"./attributes\");e.exports=function(t,e,r){function a(t){var n=t.lonlat;if(n[0]===o)return 1/0;if(d(n))return 1/0;var i=p(n),a=p([e,r]),s=Math.abs(i[0]-a[0]),l=Math.abs(i[1]-a[1]),u=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(s*s+l*l)-u,1-3/u)}var l=t.cd,u=l[0].trace,c=t.xa,h=t.ya,f=t.subplot,d=f.projection.isLonLatOverEdges,p=f.project;if(i.getClosest(l,a,t),!1!==t.index){var m=l[t.index],v=m.lonlat,g=[c.c2p(v),h.c2p(v)],y=m.mrc||1;return t.x0=g[0]-y,t.x1=g[0]+y,t.y0=g[1]-y,t.y1=g[1]+y,t.loc=m.loc,t.lon=v[0],t.lat=v[1],t.color=s(u,m),t.extraText=n(u,m,f.mockAxis),[t]}}},{\"../../components/fx\":645,\"../../constants/numerical\":707,\"../../plots/cartesian/axes\":772,\"../scatter/fill_hover_text\":1038,\"../scatter/get_trace_color\":1040,\"./attributes\":1069}],1074:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.plot=t(\"./plot\"),n.hoverPoints=t(\"./hover\"),n.eventData=t(\"./event_data\"),n.selectPoints=t(\"./select\"),n.moduleType=\"trace\",n.name=\"scattergeo\",n.basePlotModule=t(\"../../plots/geo\"),n.categories=[\"geo\",\"symbols\",\"markerColorscale\",\"showLegend\",\"scatter-like\"],n.meta={},e.exports=n},{\"../../plots/geo\":800,\"../scatter/colorbar\":1034,\"./attributes\":1069,\"./calc\":1070,\"./defaults\":1071,\"./event_data\":1072,\"./hover\":1073,\"./plot\":1075,\"./select\":1076}],1075:[function(t,e,r){\"use strict\";function n(t,e){var r=t[0].trace;if(Array.isArray(r.locations))for(var n=c(r,e),i=r.locationmode,a=0;a<t.length;a++){var o=t[a],s=h(i,o.loc,n);o.lonlat=s?s.properties.ct:[u,u]}}function i(t){var e=t.layers.frontplot.selectAll(\".trace.scattergeo\");e.style(\"opacity\",function(t){return t[0].trace.opacity}),e.each(function(e){var r=e[0].trace,n=a.select(this);n.selectAll(\"path.point\").call(o.pointStyle,r,t.graphDiv),n.selectAll(\"text\").call(o.textPointStyle,r,t.graphDiv)}),e.selectAll(\"path.js-line\").style(\"fill\",\"none\").each(function(t){var e=a.select(this),r=t.trace,n=r.line||{};e.call(s.stroke,n.color).call(o.dashLine,n.dash||\"\",n.width||0),\"none\"!==r.fill&&e.call(s.fill,r.fillcolor)})}var a=t(\"d3\"),o=t(\"../../components/drawing\"),s=t(\"../../components/color\"),l=t(\"../../lib\"),u=t(\"../../constants/numerical\").BADNUM,c=t(\"../../lib/topojson_utils\").getTopojsonFeatures,h=t(\"../../lib/geo_location_utils\").locationToFeature,f=t(\"../../lib/geojson_utils\"),d=t(\"../scatter/subtypes\")\n",
       ";e.exports=function(t,e){function r(t){return t[0].trace.uid}function o(t,e){t.lonlat[0]===u&&a.select(e).remove()}for(var s=0;s<e.length;s++)n(e[s],t.topojson);var c=t.layers.frontplot.select(\".scatterlayer\").selectAll(\"g.trace.scattergeo\").data(e,r);c.enter().append(\"g\").attr(\"class\",\"trace scattergeo\"),c.exit().remove(),c.selectAll(\"*\").remove(),c.each(function(t){var e=t[0].node3=a.select(this),r=t[0].trace;if(d.hasLines(r)||\"none\"!==r.fill){var n=f.calcTraceToLineCoords(t),i=\"none\"!==r.fill?f.makePolygon(n):f.makeLine(n);e.selectAll(\"path.js-line\").data([{geojson:i,trace:r}]).enter().append(\"path\").classed(\"js-line\",!0).style(\"stroke-miterlimit\",2)}d.hasMarkers(r)&&e.selectAll(\"path.point\").data(l.identity).enter().append(\"path\").classed(\"point\",!0).each(function(t){o(t,this)}),d.hasText(r)&&e.selectAll(\"g\").data(l.identity).enter().append(\"g\").append(\"text\").each(function(t){o(t,this)})}),i(t)}},{\"../../components/color\":604,\"../../components/drawing\":628,\"../../constants/numerical\":707,\"../../lib\":728,\"../../lib/geo_location_utils\":720,\"../../lib/geojson_utils\":721,\"../../lib/topojson_utils\":753,\"../scatter/subtypes\":1052,d3:122}],1076:[function(t,e,r){\"use strict\";var n=t(\"../scatter/subtypes\"),i=t(\"../../constants/interactions\").DESELECTDIM;e.exports=function(t,e){var r,a,o,s,l,u=t.cd,c=t.xaxis,h=t.yaxis,f=[],d=u[0].trace,p=u[0].node3,m=!n.hasMarkers(d)&&!n.hasText(d);if(!0===d.visible&&!m){var v=d.marker,g=Array.isArray(v.opacity)?1:v.opacity;if(!1===e)for(l=0;l<u.length;l++)u[l].dim=0;else for(l=0;l<u.length;l++)r=u[l],a=r.lonlat,o=c.c2p(a),s=h.c2p(a),e.contains([o,s])?(f.push({pointNumber:l,lon:a[0],lat:a[1]}),r.dim=0):r.dim=1;return p.selectAll(\"path.point\").style(\"opacity\",function(t){return((t.mo+1||g+1)-1)*(t.dim?i:1)}),p.selectAll(\"text\").style(\"opacity\",function(t){return t.dim?i:1}),f}}},{\"../../constants/interactions\":706,\"../scatter/subtypes\":1052}],1077:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../components/colorscale/color_attributes\"),a=t(\"../../constants/gl2d_dashes\"),o=t(\"../../constants/gl2d_markers\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll,u=n.line,c=n.marker,h=c.line,f=e.exports=l({x:n.x,x0:n.x0,dx:n.dx,y:n.y,y0:n.y0,dy:n.dy,text:s({},n.text,{}),mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\"],extras:[\"none\"]},line:{color:u.color,width:u.width,dash:{valType:\"enumerated\",values:Object.keys(a),dflt:\"solid\"}},marker:s({},i(\"marker\"),{symbol:{valType:\"enumerated\",values:Object.keys(o),dflt:\"circle\",arrayOk:!0},size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,opacity:c.opacity,showscale:c.showscale,colorbar:c.colorbar,line:s({},i(\"marker.line\"),{width:h.width})}),connectgaps:n.connectgaps,fill:s({},n.fill,{values:[\"none\",\"tozeroy\",\"tozerox\"]}),fillcolor:n.fillcolor,error_y:n.error_y,error_x:n.error_x},\"calc\",\"nested\");f.x.editType=f.y.editType=f.x0.editType=f.y0.editType=\"calc+clearAxisTypes\"},{\"../../components/colorscale/color_attributes\":611,\"../../constants/gl2d_dashes\":702,\"../../constants/gl2d_markers\":703,\"../../lib/extend\":717,\"../../plot_api/edit_types\":756,\"../scatter/attributes\":1031}],1078:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\"),i=t(\"../scatter/arrays_to_calcdata\"),a=t(\"../scatter/colorscale_calc\");e.exports=function(t,e){var r,o=t._fullLayout.dragmode;if(\"lasso\"===o||\"select\"===o){var s,l=n.getFromId(t,e.xaxis||\"x\"),u=n.getFromId(t,e.yaxis||\"y\"),c=l.makeCalcdata(e,\"x\"),h=u.makeCalcdata(e,\"y\"),f=Math.min(c.length,h.length);for(r=new Array(f),s=0;s<f;s++)r[s]={x:c[s],y:h[s]}}else r=[{x:!1,y:!1,trace:e,t:{}}],i(r,e);return a(e),r}},{\"../../plots/cartesian/axes\":772,\"../scatter/arrays_to_calcdata\":1030,\"../scatter/colorscale_calc\":1035}],1079:[function(t,e,r){\"use strict\";function n(t,e){this.scene=t,this.uid=e,this.type=\"scattergl\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.connectgaps=!0,this.index=null,this.idToIndex=[],this.bounds=[0,0,0,0],this.isVisible=!1,this.hasLines=!1,this.hasErrorX=!1,this.hasErrorY=!1,this.hasMarkers=!1,this.line=this.initObject(m,{positions:new Float64Array(0),color:[0,0,0,1],width:1,fill:[!1,!1,!1,!1],fillColor:[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],dashes:[1]},0),this.errorX=this.initObject(v,{positions:new Float64Array(0),errors:new Float64Array(0),lineWidth:1,capSize:0,color:[0,0,0,1]},1),this.errorY=this.initObject(v,{positions:new Float64Array(0),errors:new Float64Array(0),lineWidth:1,capSize:0,color:[0,0,0,1]},2);var r={positions:new Float64Array(0),sizes:[],colors:[],glyphs:[],borderWidths:[],borderColors:[],size:12,color:[0,0,0,1],borderSize:1,borderColor:[0,0,0,1],snapPoints:!0},n=y.extendFlat({},r,{snapPoints:!1});this.scatter=this.initObject(d,r,3),this.fancyScatter=this.initObject(p,r,4),this.selectScatter=this.initObject(d,n,5)}function i(t,e,r){return Array.isArray(e)||(e=[e]),a(t,e,r)}function a(t,e,r){for(var n=new Array(r),i=e[0],a=0;a<r;++a)n[a]=t(a>=e.length?i:e[a]);return n}function o(t,e,r){return l(O(t,r),P(e,r),r)}function s(t,e,r,n){var i=k(t,e,n);return i=Array.isArray(i[0])?i:a(y.identity,[i],n),l(i,P(r,n),n)}function l(t,e,r){for(var n=new Array(4*r),i=0;i<r;++i){for(var a=0;a<3;++a)n[4*i+a]=t[i][a];n[4*i+3]=t[i][3]*e[i]}return n}function u(t){return\"\"===t.split(\"-open\")[1]}function c(t,e,r,n,i){var a,o=i?C:1;for(a=0;a<3;a++)t[4*r+a]=e[4*n+a];t[4*r+a]=o*e[4*n+a]}function h(t){for(var e,r=t.length,n=Math.max(1,(r-1)/Math.min(Math.max(r,1),1e3)),i=0;i<r;i+=n)if(e=t[Math.floor(i)],!(g(e)||e instanceof Date))return!1;return!0}function f(t,e,r){var i=new n(t,e.uid);return i.update(e,r),i}var d=t(\"gl-scatter2d\"),p=t(\"gl-scatter2d-sdf\"),m=t(\"gl-line2d\"),v=t(\"gl-error2d\"),g=t(\"fast-isnumeric\"),y=t(\"../../lib\"),b=t(\"../../plots/cartesian/axes\"),x=t(\"../../plots/cartesian/axis_autotype\"),_=t(\"../../components/errorbars\"),w=t(\"../../lib/str2rgbarray\"),M=t(\"../../lib/typed_array_truncate\"),k=t(\"../../lib/gl_format_color\"),A=t(\"../scatter/subtypes\"),T=t(\"../scatter/make_bubble_size_func\"),S=t(\"../scatter/get_trace_color\"),E=t(\"../../constants/gl2d_markers\"),L=t(\"../../constants/gl2d_dashes\"),C=t(\"../../constants/interactions\").DESELECTDIM,I=[\"xaxis\",\"yaxis\"],z=[0,0,0,0],D=n.prototype;D.initObject=function(t,e,r){function n(){u||(u=t(s,e),u._trace=o,u._index=r),u.update(e)}function i(){u&&u.update(l)}function a(){u&&u.dispose()}var o=this,s=o.scene.glplot,l=y.extendFlat({},e),u=null;return{options:e,update:n,clear:i,dispose:a}},D.handlePick=function(t){var e=t.pointId;(t.object!==this.line||this.connectgaps)&&(e=this.idToIndex[t.pointId]);var r=this.pickXData[e];return{trace:this,dataCoord:t.dataCoord,traceCoord:[g(r)||!y.isDateTime(r)?r:y.dateTime2ms(r),this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:Array.isArray(this.color)?this.color[e]:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},D.isFancy=function(t){if(\"linear\"!==this.scene.xaxis.type&&\"date\"!==this.scene.xaxis.type)return!0;if(\"linear\"!==this.scene.yaxis.type)return!0;if(!t.x||!t.y)return!0;if(this.hasMarkers){var e=t.marker||{};if(Array.isArray(e.symbol)||\"circle\"!==e.symbol||Array.isArray(e.size)||Array.isArray(e.color)||Array.isArray(e.line.width)||Array.isArray(e.line.color)||Array.isArray(e.opacity))return!0}return!(!this.hasLines||this.connectgaps)||(!!this.hasErrorX||!!this.hasErrorY)};var P=i.bind(null,function(t){return+t}),O=i.bind(null,w),R=i.bind(null,function(t){return 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Float64Array(2*l),f=this.bounds,d=0,p=0,m=t.selection,v=t.xcalendar,b=h(o),_=!b&&\"date\"===x(o,v);if(b||_)for(e=0;e<l;++e)i=o[e],a=s[e],g(a)&&(b||(i=y.dateTime2ms(i,v)),c[p++]=i,c[p++]=a,u[d++]=e,f[0]=Math.min(f[0],i),f[1]=Math.min(f[1],a),f[2]=Math.max(f[2],i),f[3]=Math.max(f[3],a));if(c=M(c,p),this.idToIndex=u,m&&m.length)for(r=new Float64Array(2*m.length),e=0,n=m.length;e<n;e++)r[2*e+0]=m[e].x,r[2*e+1]=m[e].y;this.updateLines(t,c),this.updateError(\"X\",t),this.updateError(\"Y\",t);var k;if(this.hasMarkers){var A,T,S;r?(this.scatter.options.positions=null,A=w(t.marker.color),T=w(t.marker.line.color),S=t.opacity*t.marker.opacity*C,A[3]*=S,this.scatter.options.color=A,T[3]*=S,this.scatter.options.borderColor=T,k=t.marker.size,this.scatter.options.size=k,this.scatter.options.borderSize=t.marker.line.width,this.scatter.update(),this.scatter.options.positions=c,this.selectScatter.options.positions=r,A=w(t.marker.color),T=w(t.marker.line.color),S=t.opacity*t.marker.opacity,A[3]*=S,this.selectScatter.options.color=A,T[3]*=S,this.selectScatter.options.borderColor=T,k=t.marker.size,this.selectScatter.options.size=k,this.selectScatter.options.borderSize=t.marker.line.width,this.selectScatter.update()):(this.scatter.options.positions=c,A=w(t.marker.color),T=w(t.marker.line.color),S=t.opacity*t.marker.opacity,A[3]*=S,this.scatter.options.color=A,T[3]*=S,this.scatter.options.borderColor=T,k=t.marker.size,this.scatter.options.size=k,this.scatter.options.borderSize=t.marker.line.width,this.scatter.update())}else this.scatter.clear();this.fancyScatter.clear(),this.expandAxesFast(f,k)},D.updateFancy=function(t){var e=this.scene,r=e.xaxis,n=e.yaxis,a=this.bounds,o=t.selection,l=this.pickXData=r.makeCalcdata(t,\"x\").slice(),h=this.pickYData=n.makeCalcdata(t,\"y\").slice();this.xData=l.slice(),this.yData=h.slice();var f,d,p,m,v,g,y,b=_.calcFromTrace(t,e.fullLayout),x=l.length,w=new Array(x),k=new Float64Array(2*x),A=new Float64Array(4*x),S=new Float64Array(4*x),L=0,C=0,I=0,D=0,O=\"log\"===r.type?r.d2l:function(t){return t},F=\"log\"===n.type?n.d2l:function(t){return t};for(f=0;f<x;++f)this.xData[f]=d=O(l[f]),this.yData[f]=p=F(h[f]),isNaN(d)||isNaN(p)||(w[L++]=f,k[C++]=d,k[C++]=p,m=A[I++]=d-b[f].xs||0,v=A[I++]=b[f].xh-d||0,A[I++]=0,A[I++]=0,S[D++]=0,S[D++]=0,g=S[D++]=p-b[f].ys||0,y=S[D++]=b[f].yh-p||0,a[0]=Math.min(a[0],d-m),a[1]=Math.min(a[1],p-g),a[2]=Math.max(a[2],d+v),a[3]=Math.max(a[3],p+y));k=M(k,C),this.idToIndex=w,this.updateLines(t,k),this.updateError(\"X\",t,k,A),this.updateError(\"Y\",t,k,S);var j,N;if(o&&o.length)for(N={},f=0;f<o.length;f++)N[o[f].pointNumber]=!0;if(this.hasMarkers){this.scatter.options.positions=k,this.scatter.options.sizes=new Array(L),this.scatter.options.glyphs=new Array(L),this.scatter.options.borderWidths=new Array(L),this.scatter.options.colors=new Array(4*L),this.scatter.options.borderColors=new Array(4*L);var B,U,V,H,q,G,Y,W,X,Z,J=T(t),K=t.marker,Q=K.opacity,$=t.opacity,tt=R(K.symbol,x),et=s(K,Q,$,x),rt=P(K.line.width,x),nt=s(K.line,Q,$,x);for(j=i(J,K.size,x),f=0;f<L;++f)B=w[f],V=tt[B],H=E[V],q=u(V),G=N&&!N[B],Y=H.noBorder&&!q?nt:et,W=q?et:nt,U=j[B],X=rt[B],Z=H.noBorder||H.noFill?.1*U:0,this.scatter.options.sizes[f]=4*U,this.scatter.options.glyphs[f]=H.unicode,this.scatter.options.borderWidths[f]=.5*(X>Z?X-Z:0),!q||H.noBorder||H.noFill?c(this.scatter.options.colors,Y,f,B,G):c(this.scatter.options.colors,z,f,0),c(this.scatter.options.borderColors,W,f,B,G);N?(this.scatter.options.positions=null,this.fancyScatter.update(),this.scatter.options.positions=k):this.fancyScatter.update()}else this.fancyScatter.clear();this.scatter.clear(),this.expandAxesFancy(l,h,j)},D.updateLines=function(t,e){var r;if(this.hasLines){var n=e;if(!t.connectgaps){var i=0,a=this.xData,s=this.yData;for(n=new Float64Array(2*a.length),r=0;r<a.length;++r)n[i++]=a[r],n[i++]=s[r]}this.line.options.positions=n;var l=o(t.line.color,t.opacity,1),u=Math.round(.5*this.line.options.width),c=(L[t.line.dash]||[1]).slice();for(r=0;r<c.length;++r)c[r]*=u;switch(t.fill){case\"tozeroy\":this.line.options.fill=[!1,!0,!1,!1];break;case\"tozerox\":this.line.options.fill=[!0,!1,!1,!1];break;default:this.line.options.fill=[!1,!1,!1,!1]}var h=w(t.fillcolor);this.line.options.color=l,this.line.options.width=2*t.line.width,this.line.options.dashes=c,this.line.options.fillColor=[h,h,h,h],this.line.update()}else this.line.clear()},D.updateError=function(t,e,r,n){var i=this[\"error\"+t],a=e[\"error_\"+t.toLowerCase()];\"x\"===t.toLowerCase()&&a.copy_ystyle&&(a=e.error_y),this[\"hasError\"+t]?(i.options.positions=r,i.options.errors=n,i.options.capSize=a.width,i.options.lineWidth=a.thickness/2,i.options.color=o(a.color,1,1),i.update()):i.clear()},D.expandAxesFast=function(t,e){for(var r,n,i,a=e||10,o=0;o<2;o++)r=this.scene[I[o]],n=r._min,n||(n=[]),n.push({val:t[o],pad:a}),i=r._max,i||(i=[]),i.push({val:t[o+2],pad:a})},D.expandAxesFancy=function(t,e,r){var n=this.scene,i={padded:!0,ppad:r};b.expand(n.xaxis,t,i),b.expand(n.yaxis,e,i)},D.dispose=function(){this.line.dispose(),this.errorX.dispose(),this.errorY.dispose(),this.scatter.dispose(),this.fancyScatter.dispose()},e.exports=f},{\"../../components/errorbars\":634,\"../../constants/gl2d_dashes\":702,\"../../constants/gl2d_markers\":703,\"../../constants/interactions\":706,\"../../lib\":728,\"../../lib/gl_format_color\":724,\"../../lib/str2rgbarray\":749,\"../../lib/typed_array_truncate\":754,\"../../plots/cartesian/axes\":772,\"../../plots/cartesian/axis_autotype\":773,\"../scatter/get_trace_color\":1040,\"../scatter/make_bubble_size_func\":1047,\"../scatter/subtypes\":1052,\"fast-isnumeric\":131,\"gl-error2d\":159,\"gl-line2d\":170,\"gl-scatter2d\":248,\"gl-scatter2d-sdf\":243}],1080:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/xy_defaults\"),s=t(\"../scatter/marker_defaults\"),l=t(\"../scatter/line_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),c=t(\"../../components/errorbars/defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,f){function d(r,i){return n.coerce(t,e,h,r,i)}var p=o(t,e,f,d);if(!p)return void(e.visible=!1);d(\"text\"),d(\"mode\",p<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(d(\"connectgaps\"),l(t,e,r,f,d)),a.hasMarkers(e)&&s(t,e,r,f,d),d(\"fill\"),\"none\"!==e.fill&&u(t,e,r,d),c(t,e,r,{axis:\"y\"}),c(t,e,r,{axis:\"x\",inherit:\"y\"})}},{\"../../components/errorbars/defaults\":633,\"../../lib\":728,\"../scatter/constants\":1036,\"../scatter/fillcolor_defaults\":1039,\"../scatter/line_defaults\":1043,\"../scatter/marker_defaults\":1048,\"../scatter/subtypes\":1052,\"../scatter/xy_defaults\":1054,\"./attributes\":1077}],1081:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.hoverPoints=t(\"../scatter/hover\"),n.calc=t(\"./calc\"),n.plot=t(\"./convert\"),n.selectPoints=t(\"./select\"),n.moduleType=\"trace\",n.name=\"scattergl\",n.basePlotModule=t(\"../../plots/gl2d\"),n.categories=[\"gl2d\",\"symbols\",\"errorBarsOK\",\"markerColorscale\",\"showLegend\",\"scatter-like\"],n.meta={},e.exports=n},{\"../../plots/gl2d\":808,\"../scatter/colorbar\":1034,\"../scatter/hover\":1041,\"./attributes\":1077,\"./calc\":1078,\"./convert\":1079,\"./defaults\":1080,\"./select\":1082}],1082:[function(t,e,r){\"use strict\";var n=t(\"../scatter/subtypes\");e.exports=function(t,e){var r,i,a,o,s=t.cd,l=t.xaxis,u=t.yaxis,c=[],h=s[0].trace,f=s[0]._glTrace,d=f.scene,p=!n.hasMarkers(h)&&!n.hasText(h);if(!0===h.visible&&!p){if(!1===e)for(r=0;r<s.length;r++)s[r].dim=0;else 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n=t(\"../scattergeo/attributes\"),i=t(\"../scatter/attributes\"),a=t(\"../../plots/mapbox/layout_attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorbar/attributes\"),l=t(\"../../lib/extend\").extendFlat,u=t(\"../../plot_api/edit_types\").overrideAll,c=n.line,h=n.marker;e.exports=u({lon:n.lon,lat:n.lat,mode:l({},i.mode,{dflt:\"markers\"}),text:l({},i.text,{}),hovertext:l({},i.hovertext,{}),line:{color:c.color,width:c.width},connectgaps:i.connectgaps,marker:{symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},opacity:h.opacity,size:h.size,sizeref:h.sizeref,sizemin:h.sizemin,sizemode:h.sizemode,color:h.color,colorscale:h.colorscale,cauto:h.cauto,cmax:h.cmax,cmin:h.cmin,autocolorscale:h.autocolorscale,reversescale:h.reversescale,showscale:h.showscale,colorbar:s},fill:n.fill,fillcolor:i.fillcolor,textfont:a.layers.symbol.textfont,textposition:a.layers.symbol.textposition,hoverinfo:l({},o.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]})},\"calc\",\"nested\")},{\"../../components/colorbar/attributes\":605,\"../../lib/extend\":717,\"../../plot_api/edit_types\":756,\"../../plots/attributes\":770,\"../../plots/mapbox/layout_attributes\":827,\"../scatter/attributes\":1031,\"../scattergeo/attributes\":1069}],1084:[function(t,e,r){\"use 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n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/colorscale/color_attributes\"),o=t(\"../../components/colorbar/attributes\"),s=t(\"../../components/drawing/attributes\").dash,l=t(\"../../lib/extend\").extendFlat,u=n.marker,c=n.line,h=u.line;e.exports={a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},c:{valType:\"data_array\",editType:\"calc\"},sum:{valType:\"number\",dflt:0,min:0,editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),hovertext:l({},n.hovertext,{}),line:{color:c.color,width:c.width,dash:s,shape:l({},c.shape,{values:[\"linear\",\"spline\"]}),smoothing:c.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,cliponaxis:n.cliponaxis,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"]}),fillcolor:n.fillcolor,marker:l({symbol:u.symbol,opacity:u.opacity,maxdisplayed:u.maxdisplayed,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,line:l({width:h.width,editType:\"calc\"},a(\"marker.line\")),gradient:u.gradient,editType:\"calc\"},a(\"marker\"),{showscale:u.showscale,colorbar:o}),textfont:n.textfont,textposition:n.textposition,hoverinfo:l({},i.hoverinfo,{flags:[\"a\",\"b\",\"c\",\"text\",\"name\"]}),hoveron:n.hoveron}},{\"../../components/colorbar/attributes\":605,\"../../components/colorscale/color_attributes\":611,\"../../components/drawing/attributes\":627,\"../../lib/extend\":717,\"../../plots/attributes\":770,\"../scatter/attributes\":1031}],1092:[function(t,e,r){\"use 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n=t(\"../scatter/hover\"),i=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r,a){function o(t,e){y.push(t._hovertitle+\": \"+i.tickText(t,e,\"hover\").text)}var s=n(t,e,r,a);if(s&&!1!==s[0].index){var l=s[0];if(void 0===l.index){var u=1-l.y0/t.ya._length,c=t.xa._length,h=c*u/2,f=c-h;return l.x0=Math.max(Math.min(l.x0,f),h),l.x1=Math.max(Math.min(l.x1,f),h),s}var d=l.cd[l.index];l.a=d.a,l.b=d.b,l.c=d.c,l.xLabelVal=void 0,l.yLabelVal=void 0;var p=l.trace,m=p._ternary,v=d.hi||p.hoverinfo,g=v.split(\"+\"),y=[];return-1!==g.indexOf(\"all\")&&(g=[\"a\",\"b\",\"c\"]),-1!==g.indexOf(\"a\")&&o(m.aaxis,d.a),-1!==g.indexOf(\"b\")&&o(m.baxis,d.b),-1!==g.indexOf(\"c\")&&o(m.caxis,d.c),l.extraText=y.join(\"<br>\"),s}}},{\"../../plots/cartesian/axes\":772,\"../scatter/hover\":1041}],1095:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.plot=t(\"./plot\"),n.style=t(\"./style\"),n.hoverPoints=t(\"./hover\"),n.selectPoints=t(\"./select\"),n.moduleType=\"trace\",n.name=\"scatterternary\",n.basePlotModule=t(\"../../plots/ternary\"),\n",
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a=0,o=0;o<i.length;o++)e=(0|n.words[o])-(0|i.words[o])+a,a=e>>26,this.words[o]=67108863&e;for(;0!==a&&o<n.length;o++)e=(0|n.words[o])+a,a=e>>26,this.words[o]=67108863&e;if(0===a&&o<n.length&&n!==this)for(;o<n.length;o++)this.words[o]=n.words[o];return this.length=Math.max(this.length,o),n!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var k=function(t,e,r){var 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gt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(g,U),i=Math.imul(g,V),i=i+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(p,q)|0,i=i+Math.imul(p,G)|0,i=i+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(h,W)|0,i=i+Math.imul(h,X)|0,i=i+Math.imul(f,W)|0,a=a+Math.imul(f,X)|0;var yt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(x,U),i=Math.imul(x,V),i=i+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(g,q)|0,i=i+Math.imul(g,G)|0,i=i+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(p,W)|0,i=i+Math.imul(p,X)|0,i=i+Math.imul(m,W)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(h,J)|0,i=i+Math.imul(h,K)|0,i=i+Math.imul(f,J)|0,a=a+Math.imul(f,K)|0;var bt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=Math.imul(M,V),i=i+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(x,q)|0,i=i+Math.imul(x,G)|0,i=i+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(g,W)|0,i=i+Math.imul(g,X)|0,i=i+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(p,J)|0,i=i+Math.imul(p,K)|0,i=i+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0,n=n+Math.imul(h,$)|0,i=i+Math.imul(h,tt)|0,i=i+Math.imul(f,$)|0,a=a+Math.imul(f,tt)|0;var xt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=Math.imul(T,V),i=i+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(M,q)|0,i=i+Math.imul(M,G)|0,i=i+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(x,W)|0,i=i+Math.imul(x,X)|0,i=i+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(g,J)|0,i=i+Math.imul(g,K)|0,i=i+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(p,$)|0,i=i+Math.imul(p,tt)|0,i=i+Math.imul(m,$)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(h,rt)|0,i=i+Math.imul(h,nt)|0,i=i+Math.imul(f,rt)|0,a=a+Math.imul(f,nt)|0;var _t=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=Math.imul(L,V),i=i+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(T,q)|0,i=i+Math.imul(T,G)|0,i=i+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(M,W)|0,i=i+Math.imul(M,X)|0,i=i+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(x,J)|0,i=i+Math.imul(x,K)|0,i=i+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(g,$)|0,i=i+Math.imul(g,tt)|0,i=i+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(p,rt)|0,i=i+Math.imul(p,nt)|0,i=i+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(h,at)|0,i=i+Math.imul(h,ot)|0,i=i+Math.imul(f,at)|0,a=a+Math.imul(f,ot)|0;var wt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(z,U),i=Math.imul(z,V),i=i+Math.imul(D,U)|0,a=Math.imul(D,V),n=n+Math.imul(L,q)|0,i=i+Math.imul(L,G)|0,i=i+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(T,W)|0,i=i+Math.imul(T,X)|0,i=i+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(M,J)|0,i=i+Math.imul(M,K)|0,i=i+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(x,$)|0,i=i+Math.imul(x,tt)|0,i=i+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(g,rt)|0,i=i+Math.imul(g,nt)|0,i=i+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(p,at)|0,i=i+Math.imul(p,ot)|0,i=i+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(h,lt)|0,i=i+Math.imul(h,ut)|0,i=i+Math.imul(f,lt)|0,a=a+Math.imul(f,ut)|0;var 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kt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(j,U),i=Math.imul(j,V),i=i+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(O,q)|0,i=i+Math.imul(O,G)|0,i=i+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(z,W)|0,i=i+Math.imul(z,X)|0,i=i+Math.imul(D,W)|0,a=a+Math.imul(D,X)|0,n=n+Math.imul(L,J)|0,i=i+Math.imul(L,K)|0,i=i+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(T,$)|0,i=i+Math.imul(T,tt)|0,i=i+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(M,rt)|0,i=i+Math.imul(M,nt)|0,i=i+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(x,at)|0,i=i+Math.imul(x,ot)|0,i=i+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(g,lt)|0,i=i+Math.imul(g,ut)|0,i=i+Math.imul(y,lt)|0,a=a+Math.imul(y,ut)|0,n=n+Math.imul(p,ht)|0,i=i+Math.imul(p,ft)|0,i=i+Math.imul(m,ht)|0,a=a+Math.imul(m,ft)|0,n=n+Math.imul(h,pt)|0,i=i+Math.imul(h,mt)|0,i=i+Math.imul(f,pt)|0,a=a+Math.imul(f,mt)|0;var At=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(j,q),i=Math.imul(j,G),i=i+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(O,W)|0,i=i+Math.imul(O,X)|0,i=i+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(z,J)|0,i=i+Math.imul(z,K)|0,i=i+Math.imul(D,J)|0,a=a+Math.imul(D,K)|0,n=n+Math.imul(L,$)|0,i=i+Math.imul(L,tt)|0,i=i+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(T,rt)|0,i=i+Math.imul(T,nt)|0,i=i+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(M,at)|0,i=i+Math.imul(M,ot)|0,i=i+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(x,lt)|0,i=i+Math.imul(x,ut)|0,i=i+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(g,ht)|0,i=i+Math.imul(g,ft)|0,i=i+Math.imul(y,ht)|0,a=a+Math.imul(y,ft)|0,n=n+Math.imul(p,pt)|0,i=i+Math.imul(p,mt)|0,i=i+Math.imul(m,pt)|0,a=a+Math.imul(m,mt)|0;var Tt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(j,W),i=Math.imul(j,X),i=i+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(O,J)|0,i=i+Math.imul(O,K)|0,i=i+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(z,$)|0,i=i+Math.imul(z,tt)|0,i=i+Math.imul(D,$)|0,a=a+Math.imul(D,tt)|0,n=n+Math.imul(L,rt)|0,i=i+Math.imul(L,nt)|0,i=i+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(T,at)|0,i=i+Math.imul(T,ot)|0,i=i+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(M,lt)|0,i=i+Math.imul(M,ut)|0,i=i+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(x,ht)|0,i=i+Math.imul(x,ft)|0,i=i+Math.imul(_,ht)|0,a=a+Math.imul(_,ft)|0,n=n+Math.imul(g,pt)|0,i=i+Math.imul(g,mt)|0,i=i+Math.imul(y,pt)|0,a=a+Math.imul(y,mt)|0;var St=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(j,J),i=Math.imul(j,K),i=i+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(O,$)|0,i=i+Math.imul(O,tt)|0,i=i+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(z,rt)|0,i=i+Math.imul(z,nt)|0,i=i+Math.imul(D,rt)|0,a=a+Math.imul(D,nt)|0,n=n+Math.imul(L,at)|0,i=i+Math.imul(L,ot)|0,i=i+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(T,lt)|0,i=i+Math.imul(T,ut)|0,i=i+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(M,ht)|0,i=i+Math.imul(M,ft)|0,i=i+Math.imul(k,ht)|0,a=a+Math.imul(k,ft)|0,n=n+Math.imul(x,pt)|0,i=i+Math.imul(x,mt)|0,i=i+Math.imul(_,pt)|0,a=a+Math.imul(_,mt)|0;var Et=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(j,$),i=Math.imul(j,tt),i=i+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(O,rt)|0,i=i+Math.imul(O,nt)|0,i=i+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(z,at)|0,i=i+Math.imul(z,ot)|0,i=i+Math.imul(D,at)|0,a=a+Math.imul(D,ot)|0,n=n+Math.imul(L,lt)|0,i=i+Math.imul(L,ut)|0,i=i+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(T,ht)|0,i=i+Math.imul(T,ft)|0,i=i+Math.imul(S,ht)|0,a=a+Math.imul(S,ft)|0,n=n+Math.imul(M,pt)|0,i=i+Math.imul(M,mt)|0,i=i+Math.imul(k,pt)|0,a=a+Math.imul(k,mt)|0;var Lt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(j,rt),i=Math.imul(j,nt),i=i+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(O,at)|0,i=i+Math.imul(O,ot)|0,i=i+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(z,lt)|0,i=i+Math.imul(z,ut)|0,i=i+Math.imul(D,lt)|0,a=a+Math.imul(D,ut)|0,n=n+Math.imul(L,ht)|0,\n",
       "i=i+Math.imul(L,ft)|0,i=i+Math.imul(C,ht)|0,a=a+Math.imul(C,ft)|0,n=n+Math.imul(T,pt)|0,i=i+Math.imul(T,mt)|0,i=i+Math.imul(S,pt)|0,a=a+Math.imul(S,mt)|0;var Ct=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(j,at),i=Math.imul(j,ot),i=i+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(O,lt)|0,i=i+Math.imul(O,ut)|0,i=i+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(z,ht)|0,i=i+Math.imul(z,ft)|0,i=i+Math.imul(D,ht)|0,a=a+Math.imul(D,ft)|0,n=n+Math.imul(L,pt)|0,i=i+Math.imul(L,mt)|0,i=i+Math.imul(C,pt)|0,a=a+Math.imul(C,mt)|0;var It=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(j,lt),i=Math.imul(j,ut),i=i+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(O,ht)|0,i=i+Math.imul(O,ft)|0,i=i+Math.imul(R,ht)|0,a=a+Math.imul(R,ft)|0,n=n+Math.imul(z,pt)|0,i=i+Math.imul(z,mt)|0,i=i+Math.imul(D,pt)|0,a=a+Math.imul(D,mt)|0;var zt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,n=Math.imul(j,ht),i=Math.imul(j,ft),i=i+Math.imul(N,ht)|0,a=Math.imul(N,ft),n=n+Math.imul(O,pt)|0,i=i+Math.imul(O,mt)|0,i=i+Math.imul(R,pt)|0,a=a+Math.imul(R,mt)|0;var Dt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,n=Math.imul(j,pt),i=Math.imul(j,mt),i=i+Math.imul(N,pt)|0,a=Math.imul(N,mt);var Pt=(u+n|0)+((8191&i)<<13)|0;return u=(a+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,l[0]=vt,l[1]=gt,l[2]=yt,l[3]=bt,l[4]=xt,l[5]=_t,l[6]=wt,l[7]=Mt,l[8]=kt,l[9]=At,l[10]=Tt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=It,l[16]=zt,l[17]=Dt,l[18]=Pt,0!==u&&(l[19]=u,r.length++),r};Math.imul||(k=u),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?k(this,t,e):r<63?u(this,t,e):r<1024?c(this,t,e):h(this,t,e)},f.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},f.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},f.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},f.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var h=l,f=u,d=0;d<o;d++){var p=r[c+d],m=n[c+d],v=r[c+d+o],g=n[c+d+o],y=h*v-f*g;g=h*g+f*v,v=y,r[c+d]=p+v,n[c+d]=m+g,r[c+d+o]=p-v,n[c+d+o]=m-g,d!==s&&(y=l*h-u*f,f=l*f+u*h,h=y)}},f.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},f.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<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}},f.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},f.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},f.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},f.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),h=new Array(n),f=r.words;f.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,h,n,i);for(var d=0;d<n;d++){var p=s[d]*c[d]-l[d]*h[d];l[d]=s[d]*h[d]+l[d]*c[d],s[d]=p}return this.conjugate(s,l,n),this.transform(s,l,f,a,n,i),this.conjugate(f,a,n),this.normalize13b(f,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),h(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(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=l(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<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){n(\"number\"==typeof t&&t>=0);var i;i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<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>=0&&(0!==c||u>=i);u--){var h=0|this.words[u];this.words[u]=c<<26-a|h>>>a,c=h&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(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(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<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<this.length&&this.words[e]>=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(\"number\"==typeof t),n(t<67108864),t<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&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<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=t.length+r;this._expand(a);var o,s=0;for(i=0;i<t.length;i++){o=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;o-=67108863&l,s=(o>>26)-(l/67108864|0),this.words[i+r]=67108863&o}for(;i<this.length-r;i++)o=(0|this.words[i+r])+s,s=o>>26,this.words[i+r]=67108863&o;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)o=-(0|this.words[i])+s,s=o>>26,this.words[i]=67108863&o;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))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){s=new a(null),s.length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var h=l-1;h>=0;h--){var f=67108864*(0|n.words[i.length+h])+(0|n.words[i.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(i,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(i,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){if(n(!t.isZero()),this.isZero())return{div:new a(0),mod:new a(0)};var i,o,s;return 0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===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)},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!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<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=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()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),h=e.clone();!e.isZero();){for(var f=0,d=1;0==(e.words[0]&d)&&f<26;++f,d<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(h)),i.iushrn(1),o.iushrn(1);for(var p=0,m=1;0==(r.words[0]&m)&&p<26;++p,m<<=1);if(p>0)for(r.iushrn(p);p-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=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=new a(1),o=new a(0),s=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var l=0,u=1;0==(e.words[0]&u)&&l<26;++l,u<<=1);if(l>0)for(e.iushrn(l);l-- >0;)i.isOdd()&&i.iadd(s),i.iushrn(1);for(var c=0,h=1;0==(r.words[0]&h)&&c<26;++c,h<<=1);if(c>0)for(r.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(s),o.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(o)):(r.isub(e),o.isub(i))}var f;return f=0===e.cmpn(1)?i:o,f.cmpn(0)<0&&f.iadd(t),f},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()&&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<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&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];s+=a,a=s>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e=t<0;if(0!==this.negative&&!e)return-1;if(0===this.negative&&e)return 1;this.strip();var r;if(this.length>1)r=1;else{e&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];r=i===t?0:i<t?-1:1}return 0!==this.negative?0|-r:r},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&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>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(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)>=0},a.prototype.gte=function(t){return this.cmp(t)>=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)<=0},a.prototype.lte=function(t){return this.cmp(t)<=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 y(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var A={k256:null,p224:null,p192:null,p25519:null};d.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},d.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),r=this.imulK(r),r=r.iadd(this.tmp),e=r.bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):r.strip(),r},d.prototype.split=function(t,e){t.iushrn(this.n,0,e)},d.prototype.imulK=function(t){return t.imul(this.k)},i(p,d),p.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&i,n=10;n<t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&a)<<4|i>>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},p.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<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(m,d),i(v,d),i(g,d),g.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(A[t])return A[t];var e;if(\"k256\"===t)e=new p;else if(\"p224\"===t)e=new m;else if(\"p192\"===t)e=new v;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new g}return A[t]=e,e},y.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},y.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},y.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},y.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},y.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},y.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return 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c=t(\"./convert\"),h=t(\"./transform\"),f=t(\"./clip\"),d=t(\"./wrap\"),p=t(\"./tile\");i.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,solidChildren:!1,tolerance:3,extent:4096,buffer:64,debug:0},i.prototype.splitTile=function(t,e,r,n,i,l,c){for(var h=[t,e,r,n],d=this.options,m=d.debug,v=null;h.length;){n=h.pop(),r=h.pop(),e=h.pop(),t=h.pop();var g=1<<e,y=a(e,r,n),b=this.tiles[y],x=e===d.maxZoom?0:d.tolerance/(g*d.extent);if(!b&&(m>1&&console.time(\"creation\"),b=this.tiles[y]=p(t,g,r,n,x,e===d.maxZoom),this.tileCoords.push({z:e,x:r,y:n}),m)){m>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,b.numFeatures,b.numPoints,b.numSimplified),console.timeEnd(\"creation\"));var _=\"z\"+e;this.stats[_]=(this.stats[_]||0)+1,this.total++}if(b.source=t,i){if(e===d.maxZoom||e===i)continue;var w=1<<i-e;if(r!==Math.floor(l/w)||n!==Math.floor(c/w))continue}else if(e===d.indexMaxZoom||b.numPoints<=d.indexMaxPoints)continue;if(d.solidChildren||!u(b,d.extent,d.buffer)){b.source=null,m>1&&console.time(\"clipping\");var M,k,A,T,S,E,L=.5*d.buffer/d.extent,C=.5-L,I=.5+L,z=1+L;M=k=A=T=null,S=f(t,g,r-L,r+I,0,o,b.min[0],b.max[0]),E=f(t,g,r+C,r+z,0,o,b.min[0],b.max[0]),S&&(M=f(S,g,n-L,n+I,1,s,b.min[1],b.max[1]),k=f(S,g,n+C,n+z,1,s,b.min[1],b.max[1])),E&&(A=f(E,g,n-L,n+I,1,s,b.min[1],b.max[1]),T=f(E,g,n+C,n+z,1,s,b.min[1],b.max[1])),m>1&&console.timeEnd(\"clipping\"),t.length&&(h.push(M||[],e+1,2*r,2*n),h.push(k||[],e+1,2*r,2*n+1),h.push(A||[],e+1,2*r+1,2*n),h.push(T||[],e+1,2*r+1,2*n+1))}else i&&(v=e)}return v},i.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,o=n.debug,s=1<<t;e=(e%s+s)%s;var l=a(t,e,r);if(this.tiles[l])return h.tile(this.tiles[l],i);o>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var c,f=t,d=e,p=r;!c&&f>0;)f--,d=Math.floor(d/2),p=Math.floor(p/2),c=this.tiles[a(f,d,p)];if(!c||!c.source)return null;if(o>1&&console.log(\"found parent tile z%d-%d-%d\",f,d,p),u(c,i,n.buffer))return h.tile(c,i);o>1&&console.time(\"drilling down\");var m=this.splitTile(c.source,f,d,p,t,e,r);if(o>1&&console.timeEnd(\"drilling down\"),null!==m){var v=1<<t-m;l=a(m,Math.floor(e/v),Math.floor(r/v))}return this.tiles[l]?h.tile(this.tiles[l],i):null}},{\"./clip\":139,\"./convert\":140,\"./tile\":144,\"./transform\":145,\"./wrap\":146}],143:[function(t,e,r){\"use strict\";function n(t,e){var r,n,a,o,s=e*e,l=t.length,u=0,c=l-1,h=[];for(t[u][2]=1,t[c][2]=1;c;){for(n=0,r=u+1;r<c;r++)(a=i(t[r],t[u],t[c]))>n&&(o=r,n=a);n>s?(t[o][2]=n,h.push(u),h.push(o),u=o):(c=h.pop(),u=h.pop())}}function i(t,e,r){var n=e[0],i=e[1],a=r[0],o=r[1],s=t[0],l=t[1],u=a-n,c=o-i;if(0!==u||0!==c){var h=((s-n)*u+(l-i)*c)/(u*u+c*c);h>1?(n=a,i=o):h>0&&(n+=u*h,i+=c*h)}return u=s-n,c=l-i,u*u+c*c}e.exports=n},{}],144:[function(t,e,r){\"use strict\";function n(t,e,r,n,a,o){for(var s={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z2:e,transformed:!1,min:[2,1],max:[-1,0]},l=0;l<t.length;l++){s.numFeatures++,i(s,t[l],a,o);var u=t[l].min,c=t[l].max;u[0]<s.min[0]&&(s.min[0]=u[0]),u[1]<s.min[1]&&(s.min[1]=u[1]),c[0]>s.max[0]&&(s.max[0]=c[0]),c[1]>s.max[1]&&(s.max[1]=c[1])}return s}function i(t,e,r,n){var i,o,s,l,u=e.geometry,c=e.type,h=[],f=r*r;if(1===c)for(i=0;i<u.length;i++)h.push(u[i]),t.numPoints++,t.numSimplified++;else for(i=0;i<u.length;i++)if(s=u[i],n||!(2===c&&s.dist<r||3===c&&s.area<f)){var d=[];for(o=0;o<s.length;o++)l=s[o],(n||l[2]>f)&&(d.push(l),t.numSimplified++),t.numPoints++;3===c&&a(d,s.outer),h.push(d)}else t.numPoints+=s.length;if(h.length){var p={geometry:h,type:c,tags:e.tags||null};null!==e.id&&(p.id=e.id),t.features.push(p)}}function a(t,e){o(t)<0===e&&t.reverse()}function o(t){for(var e,r,n=0,i=0,a=t.length,o=a-1;i<a;o=i++)e=t[i],r=t[o],n+=(r[0]-e[0])*(e[1]+r[1]);return n}e.exports=n},{}],145:[function(t,e,r){\"use 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o=t(\"./clip\"),s=t(\"./feature\");e.exports=n},{\"./clip\":139,\"./feature\":141}],147:[function(t,e,r){function n(t,e){if(\"string\"!=typeof t)throw new TypeError(\"must specify type string\");if(e=e||{},\"undefined\"==typeof document&&!e.canvas)return null;var r=e.canvas||document.createElement(\"canvas\");\"number\"==typeof e.width&&(r.width=e.width),\"number\"==typeof e.height&&(r.height=e.height);var n,i=e;try{var a=[t];0===t.indexOf(\"webgl\")&&a.push(\"experimental-\"+t);for(var o=0;o<a.length;o++)if(n=r.getContext(a[o],i))return n}catch(t){n=null}return n||null}e.exports=n},{}],148:[function(t,e,r){\"use strict\";function n(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function 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a(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}function o(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<3;++c)if(e!==c){var h=a,f=s,d=o,p=l\n",
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p=0;p<3;++p)h[d][p]!==this.bounds[d][p]&&(c=!0),this.bounds[d][p]=h[d][p];if(\"ticks\"in t){r=t.ticks,s=!0,this.autoTicks=!1;for(var d=0;d<3;++d)this.tickSpacing[d]=0}else n(\"tickSpacing\")&&(this.autoTicks=!0,c=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),c=!0,s=!0,this._firstInit=!1),c&&this.autoTicks&&(r=f.create(this.bounds,this.tickSpacing),s=!0),s){for(var d=0;d<3;++d)r[d].sort(function(t,e){return t.x-e.x});f.equal(r,this.ticks)?s=!1:this.ticks=r}i(\"tickEnable\"),a(\"tickFont\")&&(s=!0),n(\"tickSize\"),n(\"tickAngle\"),n(\"tickPad\"),o(\"tickColor\");var m=a(\"labels\");a(\"labelFont\")&&(m=!0),i(\"labelEnable\"),n(\"labelSize\"),n(\"labelPad\"),o(\"labelColor\"),i(\"lineEnable\"),i(\"lineMirror\"),n(\"lineWidth\"),o(\"lineColor\"),i(\"lineTickEnable\"),i(\"lineTickMirror\"),n(\"lineTickLength\"),n(\"lineTickWidth\"),o(\"lineTickColor\"),i(\"gridEnable\"),n(\"gridWidth\"),o(\"gridColor\"),i(\"zeroEnable\"),o(\"zeroLineColor\"),n(\"zeroLineWidth\"),i(\"backgroundEnable\"),o(\"backgroundColor\"),this._text?this._text&&(m||s)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=l(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&s&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=u(this.gl,this.bounds,this.ticks))};var m=[new a,new a,new a],v=[0,0,0],g={model:d,view:d,projection:d};p.isOpaque=function(){return!0},p.isTransparent=function(){return!1},p.drawTransparent=function(t){};var y=[0,0,0],b=[0,0,0],x=[0,0,0];p.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||d,i=t.view||d,a=t.projection||d,s=this.bounds,l=h(r,i,a,s),u=l.cubeEdges,c=l.axis,f=i[12],p=i[13],_=i[14],w=i[15],M=this.pixelRatio*(a[3]*f+a[7]*p+a[11]*_+a[15]*w)/e.drawingBufferHeight,k=0;k<3;++k)this.lastCubeProps.cubeEdges[k]=u[k],this.lastCubeProps.axis[k]=c[k];for(var A=m,k=0;k<3;++k)o(m[k],k,this.bounds,u,c);for(var e=this.gl,T=v,k=0;k<3;++k)this.backgroundEnable[k]?T[k]=c[k]:T[k]=0;this._background.draw(r,i,a,s,T,this.backgroundColor),this._lines.bind(r,i,a,this);for(var k=0;k<3;++k){var S=[0,0,0];c[k]>0?S[k]=s[1][k]:S[k]=s[0][k];for(var E=0;E<2;++E){var L=(k+1+E)%3,C=(k+1+(1^E))%3;this.gridEnable[L]&&this._lines.drawGrid(L,C,this.bounds,S,this.gridColor[L],this.gridWidth[L]*this.pixelRatio)}for(var E=0;E<2;++E){var L=(k+1+E)%3,C=(k+1+(1^E))%3;this.zeroEnable[C]&&s[0][C]<=0&&s[1][C]>=0&&this._lines.drawZero(L,C,this.bounds,S,this.zeroLineColor[C],this.zeroLineWidth[C]*this.pixelRatio)}}for(var k=0;k<3;++k){this.lineEnable[k]&&this._lines.drawAxisLine(k,this.bounds,A[k].primalOffset,this.lineColor[k],this.lineWidth[k]*this.pixelRatio),this.lineMirror[k]&&this._lines.drawAxisLine(k,this.bounds,A[k].mirrorOffset,this.lineColor[k],this.lineWidth[k]*this.pixelRatio);for(var I=n(y,A[k].primalMinor),z=n(b,A[k].mirrorMinor),D=this.lineTickLength,E=0;E<3;++E){var P=M/r[5*E];I[E]*=D[E]*P,z[E]*=D[E]*P}this.lineTickEnable[k]&&this._lines.drawAxisTicks(k,A[k].primalOffset,I,this.lineTickColor[k],this.lineTickWidth[k]*this.pixelRatio),this.lineTickMirror[k]&&this._lines.drawAxisTicks(k,A[k].mirrorOffset,z,this.lineTickColor[k],this.lineTickWidth[k]*this.pixelRatio)}this._text.bind(r,i,a,this.pixelRatio);for(var k=0;k<3;++k){for(var O=A[k].primalMinor,R=n(x,A[k].primalOffset),E=0;E<3;++E)this.lineTickEnable[k]&&(R[E]+=M*O[E]*Math.max(this.lineTickLength[E],0)/r[5*E]);if(this.tickEnable[k]){for(var E=0;E<3;++E)R[E]+=M*O[E]*this.tickPad[E]/r[5*E];this._text.drawTicks(k,this.tickSize[k],this.tickAngle[k],R,this.tickColor[k])}if(this.labelEnable[k]){for(var E=0;E<3;++E)R[E]+=M*O[E]*this.labelPad[E]/r[5*E];R[k]+=.5*(s[0][k]+s[1][k]),this._text.drawLabel(k,this.labelSize[k],this.labelAngle[k],R,this.labelColor[k])}}},p.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":149,\"./lib/cube.js\":150,\"./lib/lines.js\":151,\"./lib/text.js\":153,\"./lib/ticks.js\":154}],149:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}function i(t){for(var e=[],r=[],i=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,h=[0,0,0],f=[0,0,0],d=-1;d<=1;d+=2){r.push(i,i+2,i+1,i+1,i+2,i+3),h[l]=d,f[l]=d;for(var p=-1;p<=1;p+=2){h[u]=p;for(var m=-1;m<=1;m+=2)h[c]=m,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),i+=1}var v=u;u=c,c=v}var g=a(t,new 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s=t(\"gl-buffer\"),l=t(\"gl-vao\"),u=t(\"./shaders\").line,c=[0,0,0],h=[0,0,0],f=[0,0,0],d=[0,0,0],p=[1,1],m=a.prototype;m.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,p[0]=this.gl.drawingBufferWidth,p[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=p,this.vao.bind()},m.drawAxisLine=function(t,e,r,a,o){var s=n(h);this.shader.uniforms.majorAxis=h,s[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=s;var l=i(d,r);l[t]+=e[0][t],this.shader.uniforms.offset=l,this.shader.uniforms.lineWidth=o,this.shader.uniforms.color=a;var u=n(f);u[(t+2)%3]=1,this.shader.uniforms.screenAxis=u,this.vao.draw(this.gl.TRIANGLES,6);var u=n(f);u[(t+1)%3]=1,this.shader.uniforms.screenAxis=u,this.vao.draw(this.gl.TRIANGLES,6)},m.drawAxisTicks=function(t,e,r,i,a){if(this.tickCount[t]){var o=n(c);o[t]=1,this.shader.uniforms.majorAxis=o,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=i,this.shader.uniforms.lineWidth=a;var s=n(f);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},m.drawGrid=function(t,e,r,a,o,s){if(this.gridCount[t]){var l=n(h);l[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=l;var u=i(d,a);u[e]+=r[0][e],this.shader.uniforms.offset=u;var p=n(c);p[t]=1,this.shader.uniforms.majorAxis=p;var m=n(f);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=s,this.shader.uniforms.color=o,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},m.drawZero=function(t,e,r,a,o,s){var l=n(h);this.shader.uniforms.majorAxis=l,l[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=l;var u=i(d,a);u[t]+=r[0][t],this.shader.uniforms.offset=u;var 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- pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\",\"precision mediump float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\",null,[{name:\"position\",type:\"vec3\"}])};r.text=function(t){return n(t,\"#define GLSLIFY 1\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvoid main() {  \\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n  mat2 planeXform = scale * mat2(cos(angle), sin(angle),\\n                                -sin(angle), cos(angle));\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n  vec4 worldPosition = model * vec4(dataPosition, 1);\\n  \\n  //Compute clip 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n=t(\"./1.0/numbers\");e.exports=function(t){return n[t]}},{\"./1.0/numbers\":157}],159:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.plot=t,this.shader=e,this.bufferHi=r,this.bufferLo=n,this.bounds=[1/0,1/0,-1/0,-1/0],this.numPoints=0,this.color=[0,0,0,1]}function i(t,e){var r=a(t.gl,l.vertex,l.fragment),i=o(t.gl),s=o(t.gl),u=new n(t,r,i,s);return u.update(e),t.addObject(u),u}var a=t(\"gl-shader\"),o=t(\"gl-buffer\"),s=t(\"typedarray-pool\"),l=t(\"./lib/shaders\");e.exports=i;var 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n(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}function i(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}function a(t,e,r,n){for(var i=f[n],a=0;a<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}function o(t){var e=t.gl,r=s(e),i=l(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}]),a=u(e);a.attributes.position.location=0,a.attributes.color.location=1,a.attributes.offset.location=2;var o=new n(e,r,i,a);return o.update(t),o}e.exports=o;var s=t(\"gl-buffer\"),l=t(\"gl-vao\"),u=t(\"./shaders/index\"),c=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],h=n.prototype;h.isOpaque=function(){return this.opacity>=1},h.isTransparent=function(){return this.opacity<1},h.drawTransparent=h.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||c,i=r.projection=t.projection||c;r.model=t.model||c,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],o=n[13],s=n[14],l=n[15],u=this.pixelRatio*(i[3]*a+i[7]*o+i[11]*s+i[15]*l)/e.drawingBufferHeight;this.vao.bind();for(var h=0;h<3;++h)e.lineWidth(this.lineWidth[h]),r.capSize=this.capSize[h]*u,this.lineCount[h]&&e.drawArrays(e.LINES,this.lineOffset[h],this.lineCount[h]);this.vao.unbind()};var f=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=(n+e)%3,o=[0,0,0];o[a]=i,r.push(o)}t[e]=r}return t}();h.update=function(t){t=t||{},\"lineWidth\"in t&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),\"capSize\"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),\"opacity\"in t&&(this.opacity=t.opacity);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&&n){var o=[],s=r.length,l=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var u=0;u<3;++u){this.lineOffset[u]=l;t:for(var c=0;c<s;++c){for(var h=r[c],f=0;f<3;++f)if(isNaN(h[f])||!isFinite(h[f]))continue t;var d=n[c],p=e[u];if(Array.isArray(p[0])&&(p=e[c]),3===p.length&&(p=[p[0],p[1],p[2],1]),!isNaN(d[0][u])&&!isNaN(d[1][u])){if(d[0][u]<0){var m=h.slice();m[u]+=d[0][u],o.push(h[0],h[1],h[2],p[0],p[1],p[2],p[3],0,0,0,m[0],m[1],m[2],p[0],p[1],p[2],p[3],0,0,0),i(this.bounds,m),l+=2+a(o,m,p,u)}if(d[1][u]>0){var m=h.slice();m[u]+=d[1][u],o.push(h[0],h[1],h[2],p[0],p[1],p[2],p[3],0,0,0,m[0],m[1],m[2],p[0],p[1],p[2],p[3],0,0,0),i(this.bounds,m),l+=2+a(o,m,p,u)}}}this.lineCount[u]=l-this.lineOffset[u]}this.buffer.update(o)}},h.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{\"./shaders/index\":163,\"gl-buffer\":156,\"gl-vao\":271}],162:[function(t,e,r){e.exports=function(t){\"string\"==typeof t&&(t=[t]);for(var e=[].slice.call(arguments,1),r=[],n=0;n<t.length-1;n++)r.push(t[n],e[n]||\"\");return r.push(t[n]),r.join(\"\")}},{}],163:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision mediump 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}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if(any(lessThan(fragPosition, clipBounds[0])) || any(greaterThan(fragPosition, clipBounds[1]))) {\\n    discard;\\n  }\\n  gl_FragColor = opacity * fragColor;\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},{\"gl-shader\":255,glslify:162}],164:[function(t,e,r){\"use strict\";function n(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function i(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function a(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);y=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(var a=n;a<r;++a)i[a]=t.NONE;y[n]=i}}function o(t){switch(t){case p:throw new Error(\"gl-fbo: Framebuffer unsupported\");case m:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case v:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case g:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function s(t,e,r,n,i,a){if(!n)return null;var o=d(t,e,r,i,n);return o.magFilter=t.NEAREST,o.minFilter=t.NEAREST,o.mipSamples=1,o.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,a,t.TEXTURE_2D,o.handle,0),o}function l(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 u(t){var e=n(t.gl),r=t.gl,a=t.handle=r.createFramebuffer(),u=t._shape[0],c=t._shape[1],h=t.color.length,f=t._ext,d=t._useStencil,p=t._useDepth,m=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,a);for(var v=0;v<h;++v)t.color[v]=s(r,u,c,m,r.RGBA,r.COLOR_ATTACHMENT0+v);0===h?(t._color_rb=l(r,u,c,r.RGBA4,r.COLOR_ATTACHMENT0),f&&f.drawBuffersWEBGL(y[0])):h>1&&f.drawBuffersWEBGL(y[h]);var g=r.getExtension(\"WEBGL_depth_texture\");g?d?t.depth=s(r,u,c,g.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):p&&(t.depth=s(r,u,c,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):p&&d?t._depth_rb=l(r,u,c,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):p?t._depth_rb=l(r,u,c,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=l(r,u,c,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var b=r.checkFramebufferStatus(r.FRAMEBUFFER);if(b!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(var v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),i(r,e),o(b)}i(r,e)}function c(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 l=0;l<i;++l)this.color[l]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var c=this,h=[0|e,0|r];Object.defineProperties(h,{0:{get:function(){return c._shape[0]},set:function(t){return c.width=t}},1:{get:function(){return c._shape[1]},set:function(t){return c.height=t}}}),this._shapeVector=h,u(this)}function h(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var a=t.gl,s=a.getParameter(a.MAX_RENDERBUFFER_SIZE);if(e<0||e>s||r<0||r>s)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var l=n(a),u=0;u<t.color.length;++u)t.color[u].shape=t._shape;t._color_rb&&(a.bindRenderbuffer(a.RENDERBUFFER,t._color_rb),a.renderbufferStorage(a.RENDERBUFFER,a.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(a.bindRenderbuffer(a.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?a.renderbufferStorage(a.RENDERBUFFER,a.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?a.renderbufferStorage(a.RENDERBUFFER,a.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&a.renderbufferStorage(a.RENDERBUFFER,a.STENCIL_INDEX,t._shape[0],t._shape[1])),a.bindFramebuffer(a.FRAMEBUFFER,t.handle);var c=a.checkFramebufferStatus(a.FRAMEBUFFER);c!==a.FRAMEBUFFER_COMPLETE&&(t.dispose(),i(a,l),o(c)),i(a,l)}}function f(t,e,r,n){p||(p=t.FRAMEBUFFER_UNSUPPORTED,m=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,v=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,g=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var i=t.getExtension(\"WEBGL_draw_buffers\");if(!y&&i&&a(t,i),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var o=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>o||r<0||r>o)throw new Error(\"gl-fbo: Parameters are too large for FBO\");n=n||{};var s=1;if(\"color\"in n){if((s=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(s>1){if(!i)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(s>t.getParameter(i.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+s+\" draw buffers\")}}var l=t.UNSIGNED_BYTE,u=t.getExtension(\"OES_texture_float\");if(n.float&&s>0){if(!u)throw new Error(\"gl-fbo: Context does not support floating point textures\");l=t.FLOAT}else n.preferFloat&&s>0&&u&&(l=t.FLOAT);var h=!0;\"depth\"in n&&(h=!!n.depth);var f=!1;return\"stencil\"in n&&(f=!!n.stencil),new c(t,e,r,l,s,h,f,i)}var d=t(\"gl-texture2d\");e.exports=f;var p,m,v,g,y=null,b=c.prototype;Object.defineProperties(b,{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(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return h(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return t|=0,h(this,t,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,h(this,this._shape[0],t),t},enumerable:!1}}),b.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])}},b.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":267}],165:[function(t,e,r){function n(t,e,r){\"use strict\";var n=o(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===a.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var u=i(\"Error compiling %s shader %s:\\n\",l,n),c=i(\"%s%s\",u,t),h=t.split(\"\\n\"),f={},d=0;d<h.length;d++){var p=h[d];if(\"\"!==p){var m=parseInt(p.split(\":\")[2]);if(isNaN(m))throw new Error(i(\"Could not parse error: %s\",p));f[m]=p}}for(var v=s(e).split(\"\\n\"),d=0;d<v.length;d++)if(f[d+3]||f[d+2]||f[d+1]){var g=v[d];if(u+=g+\"\\n\",f[d+1]){var y=f[d+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),u+=i(\"^^^ %s\\n\\n\",y)}}return{long:u.trim(),short:c.trim()}}var i=t(\"sprintf-js\").sprintf,a=t(\"gl-constants/lookup\"),o=t(\"glsl-shader-name\"),s=t(\"add-line-numbers\");e.exports=n},{\"add-line-numbers\":40,\"gl-constants/lookup\":158,\"glsl-shader-name\":279,\"sprintf-js\":527}],166:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}function i(t,e){var r=t.gl,i=l(r,c.vertex,c.fragment),a=l(r,c.pickVertex,c.pickFragment),o=u(r),s=u(r),h=u(r),f=u(r),d=new n(t,i,a,o,s,h,f);return d.update(e),t.addObject(d),d}e.exports=i;var a=t(\"binary-search-bounds\"),o=t(\"iota-array\"),s=t(\"typedarray-pool\"),l=t(\"gl-shader\"),u=t(\"gl-buffer\"),c=t(\"./lib/shaders\"),h=n.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=function(){var t=[1,0,0,0,1,0,0,0,1];return function(){var e=this.plot,r=this.shader,n=this.bounds,i=this.numVertices;if(!(i<=0)){var a=e.gl,o=e.dataBox,s=n[2]-n[0],l=n[3]-n[1],u=o[2]-o[0],c=o[3]-o[1];t[0]=2*s/u,t[4]=2*l/c,t[6]=2*(n[0]-o[0])/u-1,t[7]=2*(n[1]-o[1])/c-1,r.bind();var h=r.uniforms;h.viewTransform=t,h.shape=this.shape;var f=r.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(a.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(a.UNSIGNED_BYTE,!0),a.drawArrays(a.TRIANGLES,0,i)}}}(),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*u/h,t[4]=2*c/f,t[6]=2*(a[0]-l[0])/h-1,t[7]=2*(a[1]-l[1])/f-1;for(var d=0;d<4;++d)e[d]=r>>8*d&255;this.pickOffset=r,i.bind();var p=i.uniforms;p.viewTransform=t,p.pickOffset=e,p.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},h.update=function(t){t=t||{};var e=t.shape||[0,0],r=t.x||o(e[0]),n=t.y||o(e[1]),i=t.z||new Float32Array(e[0]*e[1]);this.xData=r,this.yData=n;var l=t.colorLevels||[0],u=t.colorValues||[0,0,0,1],c=l.length,h=this.bounds,d=h[0]=r[0],p=h[1]=n[0],m=h[2]=r[r.length-1],v=h[3]=n[n.length-1],g=1/(m-d),y=1/(v-p),b=e[0],x=e[1];this.shape=[b,x];var _=(b-1)*(x-1)*(f.length>>>1);this.numVertices=_;for(var w=s.mallocUint8(4*_),M=s.mallocFloat32(2*_),k=s.mallocUint8(2*_),A=s.mallocUint32(_),T=0,S=0;S<x-1;++S)for(var E=y*(n[S]-p),L=y*(n[S+1]-p),C=0;C<b-1;++C)for(var I=g*(r[C]-d),z=g*(r[C+1]-d),D=0;D<f.length;D+=2){var P,O,R,F,j=f[D],N=f[D+1],B=(S+N)*b+(C+j),U=i[B],V=a.le(l,U);if(V<0)P=u[0],O=u[1],R=u[2],F=u[3];else if(V===c-1)P=u[4*c-4],O=u[4*c-3],R=u[4*c-2],F=u[4*c-1];else{var H=(U-l[V])/(l[V+1]-l[V]),q=1-H,G=4*V,Y=4*(V+1);P=q*u[G]+H*u[Y],O=q*u[G+1]+H*u[Y+1],R=q*u[G+2]+H*u[Y+2],F=q*u[G+3]+H*u[Y+3]}w[4*T]=255*P,w[4*T+1]=255*O,w[4*T+2]=255*R,w[4*T+3]=255*F,M[2*T]=.5*I+.5*z,M[2*T+1]=.5*E+.5*L,k[2*T]=j,k[2*T+1]=N,A[T]=S*b+C,T+=1}this.positionBuffer.update(M),this.weightBuffer.update(k),this.colorBuffer.update(w),this.idBuffer.update(A),s.free(M),s.free(w),s.free(k),s.free(A)},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":167,\"binary-search-bounds\":168,\"gl-buffer\":156,\"gl-shader\":255,\"iota-array\":293,\"typedarray-pool\":541}],167:[function(t,e,r){\"use strict\";e.exports={fragment:\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\",vertex:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\",pickFragment:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\",pickVertex:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"}},{}],168:[function(t,e,r){arguments[4][84][0].apply(r,arguments)},{dup:84}],169:[function(t,e,r){r.lineVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo, dHi, dLo;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo, screenShape;\\nuniform float width;\\n\\nvarying vec2 direction;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvec2 project_2_1(vec2 scHi, vec2 scLo, vec2 posHi, vec2 posLo) {\\n  return scHi * posHi\\n       + scLo * posHi\\n       + scHi * posLo\\n       + scLo * posLo;\\n}\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  vec2 dir = project_2_1(scaleHi, scaleLo, dHi, dLo);\\n  vec2 n = 0.5 * width * normalize(screenShape.yx * vec2(dir.y, -dir.x)) / screenShape.xy;\\n  vec2 tangent = normalize(screenShape.xy * dir);\\n  if(dir.x < 0.0 || (dir.x == 0.0 && dir.y < 0.0)) {\\n    direction = -tangent;\\n  } else {\\n    direction = tangent;\\n  }\\n  gl_Position = vec4(p + n, 0.0, 1.0);\\n}\",r.lineFragment=\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nuniform vec2 screenShape;\\nuniform sampler2D dashPattern;\\nuniform float dashLength;\\n\\nvarying vec2 direction;\\n\\nvoid main() {\\n  float t = fract(dot(direction, gl_FragCoord.xy) / dashLength);\\n  vec4 pcolor = color * texture2D(dashPattern, vec2(t, 0.0)).r;\\n  gl_FragColor = vec4(pcolor.rgb * pcolor.a, pcolor.a);\\n}\",r.mitreVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo;\\nuniform float radius;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  gl_Position = vec4(p, 0.0, 1.0);\\n  gl_PointSize = radius;\\n}\",r.mitreFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  if(length(gl_PointCoord.xy - 0.5) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = vec4(color.rgb, color.a);\\n}\",r.pickVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo, dHi;\\nattribute vec4 pick0, pick1;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo, screenShape;\\nuniform float width;\\n\\nvarying vec4 pickA, pickB;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  vec2 n = width * normalize(screenShape.yx * vec2(dHi.y, -dHi.x)) / screenShape.xy;\\n  gl_Position = vec4(p + n, 0, 1);\\n  pickA = pick0;\\n  pickB = pick1;\\n}\",r.pickFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 pickOffset;\\n\\nvarying vec4 pickA, pickB;\\n\\nvoid main() {\\n  vec4 fragId = vec4(pickA.xyz, 0.0);\\n  if(pickB.w > pickA.w) {\\n    fragId.xyz = pickB.xyz;\\n  }\\n\\n  fragId += pickOffset;\\n\\n  fragId.y += floor(fragId.x / 256.0);\\n  fragId.x -= floor(fragId.x / 256.0) * 256.0;\\n\\n  fragId.z += floor(fragId.y / 256.0);\\n  fragId.y -= floor(fragId.y / 256.0) * 256.0;\\n\\n  fragId.w += floor(fragId.z / 256.0);\\n  fragId.z -= floor(fragId.z / 256.0) * 256.0;\\n\\n  gl_FragColor = fragId / 255.0;\\n}\",r.fillVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aHi, aLo, dHi;\\n\\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo, projectAxis;\\nuniform float projectValue, depth;\\n\\n\\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\\n  return (posHi + trHi) * scHi\\n       + (posLo + trLo) * scHi\\n       + (posHi + trHi) * scLo\\n       + (posLo + trLo) * scLo;\\n}\\n\\n\\nvoid main() {\\n  vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\\n  if(dHi.y < 0.0 || (dHi.y == 0.0 && dHi.x < 0.0)) {\\n    if(dot(p, projectAxis) < projectValue) {\\n      p = p * (1.0 - abs(projectAxis)) + projectAxis * projectValue;\\n    }\\n  }\\n  gl_Position = vec4(p, depth, 1);\\n}\",r.fillFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = vec4(color.rgb * color.a, color.a);\\n}\"},{}],170:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l){this.plot=t,this.dashPattern=e,this.lineBufferHi=r,this.lineBufferLo=n,this.pickBuffer=i,this.lineShader=a,this.mitreShader=o,this.fillShader=s,this.pickShader=l,this.usingDashes=!1,this.bounds=[1/0,1/0,-1/0,-1/0],this.width=1,this.color=[0,0,1,1],this.fill=[!1,!1,!1,!1],this.fillColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.data=null,this.numPoints=0,this.vertCount=0,this.pickOffset=0}function i(t){return t.map(function(t){return t.slice()})}function a(t,e){var r=t.gl,i=s(r),a=s(r),u=s(r),c=l(r,[1,1]),f=o(r,h.lineVertex,h.lineFragment),d=o(r,h.mitreVertex,h.mitreFragment),p=o(r,h.fillVertex,h.fillFragment),m=o(r,h.pickVertex,h.pickFragment),v=new n(t,c,i,a,u,f,d,p,m);return t.addObject(v),v.update(e),v}e.exports=a;var o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"gl-texture2d\"),u=t(\"ndarray\"),c=t(\"typedarray-pool\"),h=t(\"./lib/shaders\"),f=n.prototype;f.setProjectionModel=function(){var t={scaleHi:new Float32Array([0,0]),scaleLo:new Float32Array([0,0]),translateHi:new Float32Array([0,0]),translateLo:new Float32Array([0,0]),screenShape:[0,0]};return function(){var e=this.bounds,r=this.plot.viewBox,n=this.plot.dataBox,i=e[2]-e[0],a=e[3]-e[1],o=n[2]-n[0],s=n[3]-n[1],l=r[2]-r[0],u=r[3]-r[1],c=2*i/o,h=2*a/s,f=(e[0]-n[0]-.5*o)/i,d=(e[1]-n[1]-.5*s)/a;return t.scaleHi[0]=c,t.scaleHi[1]=h,t.scaleLo[0]=c-t.scaleHi[0],t.scaleLo[1]=h-t.scaleHi[1],t.translateHi[0]=f,t.translateHi[1]=d,t.translateLo[0]=f-t.translateHi[0],t.translateLo[1]=d-t.translateHi[1],t.screenShape[0]=l,t.screenShape[1]=u,t}}(),f.setProjectionUniforms=function(t,e){t.scaleHi=e.scaleHi,t.scaleLo=e.scaleLo,t.translateHi=e.translateHi,t.translateLo=e.translateLo,t.screenShape=e.screenShape},f.draw=function(){var t=[1,0],e=[-1,0],r=[0,1],n=[0,-1];return function(){var i=this.vertCount;if(i){var a=this.setProjectionModel(),o=this.plot,s=this.width,l=o.gl,u=o.pixelRatio,c=this.color,h=this.fillShader.attributes;this.lineBufferLo.bind(),h.aLo.pointer(l.FLOAT,!1,16,0),this.lineBufferHi.bind();var f=this.fill;if(f[0]||f[1]||f[2]||f[3]){var d=this.fillShader;d.bind();var p=d.uniforms;this.setProjectionUniforms(p,a),p.depth=o.nextDepthValue(),h.aHi.pointer(l.FLOAT,!1,16,0),h.dHi.pointer(l.FLOAT,!1,16,8),l.depthMask(!0),l.enable(l.DEPTH_TEST);var m=this.fillColor;f[0]&&(p.color=m[0],p.projectAxis=e,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),f[1]&&(p.color=m[1],p.projectAxis=n,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),f[2]&&(p.color=m[2],p.projectAxis=t,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),f[3]&&(p.color=m[3],p.projectAxis=r,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),l.depthMask(!1),l.disable(l.DEPTH_TEST)}var v=this.lineShader;v.bind(),this.lineBufferLo.bind(),v.attributes.aLo.pointer(l.FLOAT,!1,16,0),v.attributes.dLo.pointer(l.FLOAT,!1,16,8),this.lineBufferHi.bind();var g=v.uniforms;this.setProjectionUniforms(g,a),g.color=c,g.width=s*u,g.dashPattern=this.dashPattern.bind(),g.dashLength=this.dashLength*u;var y=v.attributes;if(y.aHi.pointer(l.FLOAT,!1,16,0),y.dHi.pointer(l.FLOAT,!1,16,8),l.drawArrays(l.TRIANGLES,0,i),s>2&&!this.usingDashes){var b=this.mitreShader;this.lineBufferLo.bind(),b.attributes.aLo.pointer(l.FLOAT,!1,48,0),this.lineBufferHi.bind(),b.bind();var x=b.uniforms;this.setProjectionUniforms(x,a),x.color=c,x.radius=s*u,b.attributes.aHi.pointer(l.FLOAT,!1,48,0),l.drawArrays(l.POINTS,0,i/3|0)}}}}(),f.drawPick=function(){var t=[0,0,0,0];return function(e){var r=this.vertCount,n=this.numPoints;if(this.pickOffset=e,!r)return e+n;var i=this.setProjectionModel(),a=this.plot,o=this.width,s=a.gl,l=a.pickPixelRatio,u=this.pickShader,c=this.pickBuffer;t[0]=255&e,t[1]=e>>>8&255,t[2]=e>>>16&255,t[3]=e>>>24,u.bind();var h=u.uniforms;this.setProjectionUniforms(h,i),h.width=o*l,h.pickOffset=t;var f=u.attributes;return this.lineBufferHi.bind(),f.aHi.pointer(s.FLOAT,!1,16,0),f.dHi.pointer(s.FLOAT,!1,16,8),this.lineBufferLo.bind(),f.aLo.pointer(s.FLOAT,!1,16,0),c.bind(),f.pick0.pointer(s.UNSIGNED_BYTE,!1,8,0),f.pick1.pointer(s.UNSIGNED_BYTE,!1,8,4),s.drawArrays(s.TRIANGLES,0,r),e+n}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.numPoints;if(r<n||r>=n+i)return null;var a=r-n,o=this.data;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}},f.update=function(t){t=t||{};var e,r,n,a,o,s=this.plot.gl;this.color=(t.color||[0,0,1,1]).slice(),this.width=+(t.width||1),this.fill=(t.fill||[!1,!1,!1,!1]).slice(),this.fillColor=i(t.fillColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var h=t.dashes||[1],f=0;for(e=0;e<h.length;++e)f+=h[e];var d=c.mallocUint8(f);n=0;var p=255;for(e=0;e<h.length;++e){for(r=0;r<h[e];++r)d[n++]=p;p^=255}this.dashPattern.dispose(),this.usingDashes=h.length>1,this.dashPattern=l(s,u(d,[f,1,4],[1,0,0])),this.dashPattern.minFilter=s.NEAREST,this.dashPattern.magFilter=s.NEAREST,this.dashLength=f,c.free(d);var m=t.positions;this.data=m;var v=this.bounds;v[0]=v[1]=1/0,v[2]=v[3]=-1/0;var g=this.numPoints=m.length>>>1;if(0!==g){for(e=0;e<g;++e)a=m[2*e],o=m[2*e+1],isNaN(a)||isNaN(o)||(v[0]=Math.min(v[0],a),v[1]=Math.min(v[1],o),v[2]=Math.max(v[2],a),v[3]=Math.max(v[3],o));v[0]===v[2]&&(v[2]+=1),v[3]===v[1]&&(v[3]+=1);var y=c.mallocFloat64(24*(g-1)),b=c.mallocFloat32(24*(g-1)),x=c.mallocFloat32(24*(g-1)),_=c.mallocUint32(12*(g-1)),w=b.length,M=_.length;n=g;for(var k=0;n>1;){var A=--n;a=m[2*n],o=m[2*n+1];var T=A-1,S=m[2*T],E=m[2*T+1];if(!(isNaN(a)||isNaN(o)||isNaN(S)||isNaN(E))){k+=1,a=(a-v[0])/(v[2]-v[0]),o=(o-v[1])/(v[3]-v[1]),S=(S-v[0])/(v[2]-v[0]),E=(E-v[1])/(v[3]-v[1]);var L=S-a,C=E-o,I=A|1<<24,z=A-1,D=A,P=A-1|1<<24;y[--w]=-C,y[--w]=-L,y[--w]=o,y[--w]=a,_[--M]=I,_[--M]=z,y[--w]=C,y[--w]=L,y[--w]=E,y[--w]=S,_[--M]=D,_[--M]=P,y[--w]=-C,y[--w]=-L,y[--w]=E,y[--w]=S,_[--M]=D,_[--M]=P,y[--w]=C,y[--w]=L,y[--w]=E,y[--w]=S,_[--M]=D,_[--M]=P,y[--w]=-C,y[--w]=-L,y[--w]=o,y[--w]=a,_[--M]=I,_[--M]=z,y[--w]=C,y[--w]=L,y[--w]=o,y[--w]=a,_[--M]=I,_[--M]=z}}for(e=0;e<y.length;e++)b[e]=y[e],x[e]=y[e]-b[e];this.vertCount=6*k,this.lineBufferHi.update(b.subarray(w)),this.lineBufferLo.update(x.subarray(w)),this.pickBuffer.update(_.subarray(M)),c.free(y),c.free(b),c.free(x),c.free(_)}},f.dispose=function(){this.plot.removeObject(this),this.lineBufferLo.dispose(),this.lineBufferHi.dispose(),this.pickBuffer.dispose(),this.lineShader.dispose(),this.mitreShader.dispose(),this.fillShader.dispose(),this.pickShader.dispose(),this.dashPattern.dispose()}},{\"./lib/shaders\":169,\"gl-buffer\":156,\"gl-shader\":255,\"gl-texture2d\":267,ndarray:467,\"typedarray-pool\":541}],171:[function(t,e,r){var n=t(\"gl-shader\"),i=\"precision mediump 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\\nvoid main() {\\n  vec4 projected = projection * view * model * vec4(position, 1.0);\\n  vec4 tangentClip = projection * view * model * vec4(nextPosition - position, 0.0);\\n  vec2 tangent = normalize(screenShape * tangentClip.xy);\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(tangent.y, -tangent.x) / screenShape;\\n\\n  gl_Position = vec4(projected.xy + projected.w * offset, projected.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\",a=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return n(t,i,\"precision mediump float;\\n#define GLSLIFY 1\\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(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\\n    discard;\\n  }\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\",null,a)},r.createPickShader=function(t){return n(t,i,\"precision mediump float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\nlowp vec4 encode_float_1_0(highp float v) {\\n  highp float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -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\\n\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\\n    discard;\\n  }\\n  gl_FragColor = vec4(pickId/255.0, encode_float_1_0(pixelArcLength).xyz);\\n}\",null,a)}},{\"gl-shader\":255}],172:[function(t,e,r){\"use strict\";function n(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function i(t){\n",
       "for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<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 a(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function o(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.dirty=!0,this.pixelRatio=1}function s(t){var e=t.gl||t.scene&&t.scene.gl,r=m(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 n=v(e);n.attributes.position.location=0,n.attributes.nextPosition.location=1,n.attributes.arcLength.location=2,n.attributes.lineWidth.location=3,n.attributes.color.location=4;for(var i=l(e),a=u(e,[{buffer:i,size:3,offset:0,stride:48},{buffer:i,size:3,offset:12,stride:48},{buffer:i,size:1,offset:24,stride:48},{buffer:i,size:1,offset:28,stride:48},{buffer:i,size:4,offset:32,stride:48}]),s=d(new Array(1024),[256,1,4]),h=0;h<1024;++h)s.data[h]=255;var f=c(e,s);f.wrap=e.REPEAT;var p=new o(e,r,n,i,a,f);return p.update(t),p}e.exports=s;var l=t(\"gl-buffer\"),u=t(\"gl-vao\"),c=t(\"gl-texture2d\"),h=t(\"glsl-read-float\"),f=t(\"binary-search-bounds\"),d=t(\"ndarray\"),p=t(\"./lib/shaders\"),m=p.createShader,v=p.createPickShader,g=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],y=o.prototype;y.isTransparent=function(){return this.opacity<1},y.isOpaque=function(){return this.opacity>=1},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||g,view:t.view||g,projection:t.projection||g,clipBounds:i(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)},y.drawPick=function(t){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||g,view:t.view||g,projection:t.projection||g,pickId:this.pickId,clipBounds:i(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount)},y.update=function(t){var e,r;this.dirty=!0;var i=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),\"opacity\"in t&&(this.opacity=+t.opacity);var a=t.position||t.positions;if(a){var o=t.color||t.colors||[0,0,0,1],s=t.lineWidth||1,l=[],u=[],c=[],h=0,p=0,m=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],v=!1;t:for(e=1;e<a.length;++e){var g=a[e-1],y=a[e];for(u.push(h),c.push(g.slice()),r=0;r<3;++r){if(isNaN(g[r])||isNaN(y[r])||!isFinite(g[r])||!isFinite(y[r])){if(!i&&l.length>0){for(var b=0;b<24;++b)l.push(l[l.length-12]);p+=2,v=!0}continue t}m[0][r]=Math.min(m[0][r],g[r],y[r]),m[1][r]=Math.max(m[1][r],g[r],y[r])}var x,_;Array.isArray(o[0])?(x=o[e-1],_=o[e]):x=_=o,3===x.length&&(x=[x[0],x[1],x[2],1]),3===_.length&&(_=[_[0],_[1],_[2],1]);var w;w=Array.isArray(s)?s[e-1]:s;var M=h;if(h+=n(g,y),v){for(r=0;r<2;++r)l.push(g[0],g[1],g[2],y[0],y[1],y[2],M,w,x[0],x[1],x[2],x[3]);p+=2,v=!1}l.push(g[0],g[1],g[2],y[0],y[1],y[2],M,w,x[0],x[1],x[2],x[3],g[0],g[1],g[2],y[0],y[1],y[2],M,-w,x[0],x[1],x[2],x[3],y[0],y[1],y[2],g[0],g[1],g[2],h,-w,_[0],_[1],_[2],_[3],y[0],y[1],y[2],g[0],g[1],g[2],h,w,_[0],_[1],_[2],_[3]),p+=4}if(this.buffer.update(l),u.push(h),c.push(a[a.length-1].slice()),this.bounds=m,this.vertexCount=p,this.points=c,this.arcLength=u,\"dashes\"in t){var k=t.dashes,A=k.slice();for(A.unshift(0),e=1;e<A.length;++e)A[e]=A[e-1]+A[e];var T=d(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)T.set(e,0,r,0);1&f.le(A,A[A.length-1]*e/255)?T.set(e,0,0,0):T.set(e,0,0,255)}this.texture.setPixels(T)}}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=h(t.value[0],t.value[1],t.value[2],0),r=f.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new a(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)],o=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),s=1-o,l=[0,0,0],u=0;u<3;++u)l[u]=s*n[u]+o*i[u];var c=Math.min(o<.5?r:r+1,this.points.length-1);return new a(e,l,c,this.points[c])}},{\"./lib/shaders\":171,\"binary-search-bounds\":66,\"gl-buffer\":156,\"gl-texture2d\":267,\"gl-vao\":271,\"glsl-read-float\":278,ndarray:467}],173:[function(t,e,r){function n(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}e.exports=n},{}],174:[function(t,e,r){function n(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],h=c*o-s*u,f=-c*a+s*l,d=u*a-o*l,p=r*h+n*f+i*d;return p?(p=1/p,t[0]=h*p,t[1]=(-c*n+i*u)*p,t[2]=(s*n-i*o)*p,t[3]=f*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}e.exports=n},{}],175:[function(t,e,r){function n(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}e.exports=n},{}],176:[function(t,e,r){function n(){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}e.exports=n},{}],177:[function(t,e,r){function n(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],h=t[10],f=t[11],d=t[12],p=t[13],m=t[14],v=t[15];return(e*o-r*a)*(h*v-f*m)-(e*s-n*a)*(c*v-f*p)+(e*l-i*a)*(c*m-h*p)+(r*s-n*o)*(u*v-f*d)-(r*l-i*o)*(u*m-h*d)+(n*l-i*s)*(u*p-c*d)}e.exports=n},{}],178:[function(t,e,r){function n(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,h=n*s,f=i*o,d=i*s,p=i*l,m=a*o,v=a*s,g=a*l;return t[0]=1-h-p,t[1]=c+g,t[2]=f-v,t[3]=0,t[4]=c-g,t[5]=1-u-p,t[6]=d+m,t[7]=0,t[8]=f+v,t[9]=d-m,t[10]=1-u-h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}e.exports=n},{}],179:[function(t,e,r){function n(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,h=n*l,f=n*u,d=i*l,p=i*u,m=a*u,v=o*s,g=o*l,y=o*u;return t[0]=1-(d+m),t[1]=h+y,t[2]=f-g,t[3]=0,t[4]=h-y,t[5]=1-(c+m),t[6]=p+v,t[7]=0,t[8]=f+g,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}e.exports=n},{}],180:[function(t,e,r){function n(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}e.exports=n},{}],181:[function(t,e,r){function n(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],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],v=e[14],g=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,M=i*u-a*l,k=c*m-h*p,A=c*v-f*p,T=c*g-d*p,S=h*v-f*m,E=h*g-d*m,L=f*g-d*v,C=y*L-b*E+x*S+_*T-w*A+M*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*M-v*w+g*_)*C,t[3]=(f*w-h*M-d*_)*C,t[4]=(l*T-o*L-u*A)*C,t[5]=(r*L-i*T+a*A)*C,t[6]=(v*x-p*M-g*b)*C,t[7]=(c*M-f*x+d*b)*C,t[8]=(o*E-s*T+u*k)*C,t[9]=(n*T-r*E-a*k)*C,t[10]=(p*w-m*x+g*y)*C,t[11]=(h*x-c*w-d*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*b-p*_-v*y)*C,t[15]=(c*_-h*b+f*y)*C,t):null}e.exports=n},{}],182:[function(t,e,r){function n(t,e,r,n){var a,o,s,l,u,c,h,f,d,p,m=e[0],v=e[1],g=e[2],y=n[0],b=n[1],x=n[2],_=r[0],w=r[1],M=r[2];return Math.abs(m-_)<1e-6&&Math.abs(v-w)<1e-6&&Math.abs(g-M)<1e-6?i(t):(h=m-_,f=v-w,d=g-M,p=1/Math.sqrt(h*h+f*f+d*d),h*=p,f*=p,d*=p,a=b*d-x*f,o=x*h-y*d,s=y*f-b*h,p=Math.sqrt(a*a+o*o+s*s),p?(p=1/p,a*=p,o*=p,s*=p):(a=0,o=0,s=0),l=f*s-d*o,u=d*a-h*s,c=h*o-f*a,p=Math.sqrt(l*l+u*u+c*c),p?(p=1/p,l*=p,u*=p,c*=p):(l=0,u=0,c=0),t[0]=a,t[1]=l,t[2]=h,t[3]=0,t[4]=o,t[5]=u,t[6]=f,t[7]=0,t[8]=s,t[9]=c,t[10]=d,t[11]=0,t[12]=-(a*m+o*v+s*g),t[13]=-(l*m+u*v+c*g),t[14]=-(h*m+f*v+d*g),t[15]=1,t)}var i=t(\"./identity\");e.exports=n},{\"./identity\":180}],183:[function(t,e,r){function n(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],h=e[8],f=e[9],d=e[10],p=e[11],m=e[12],v=e[13],g=e[14],y=e[15],b=r[0],x=r[1],_=r[2],w=r[3];return t[0]=b*n+x*s+_*h+w*m,t[1]=b*i+x*l+_*f+w*v,t[2]=b*a+x*u+_*d+w*g,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+_*h+w*m,t[5]=b*i+x*l+_*f+w*v,t[6]=b*a+x*u+_*d+w*g,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+_*h+w*m,t[9]=b*i+x*l+_*f+w*v,t[10]=b*a+x*u+_*d+w*g,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+_*h+w*m,t[13]=b*i+x*l+_*f+w*v,t[14]=b*a+x*u+_*d+w*g,t[15]=b*o+x*c+_*p+w*y,t}e.exports=n},{}],184:[function(t,e,r){function n(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}e.exports=n},{}],185:[function(t,e,r){function n(t,e,r,n){var i,a,o,s,l,u,c,h,f,d,p,m,v,g,y,b,x,_,w,M,k,A,T,S,E=n[0],L=n[1],C=n[2],I=Math.sqrt(E*E+L*L+C*C);return Math.abs(I)<1e-6?null:(I=1/I,E*=I,L*=I,C*=I,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],u=e[2],c=e[3],h=e[4],f=e[5],d=e[6],p=e[7],m=e[8],v=e[9],g=e[10],y=e[11],b=E*E*o+a,x=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,M=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,T=L*C*o-E*i,S=C*C*o+a,t[0]=s*b+h*x+m*_,t[1]=l*b+f*x+v*_,t[2]=u*b+d*x+g*_,t[3]=c*b+p*x+y*_,t[4]=s*w+h*M+m*k,t[5]=l*w+f*M+v*k,t[6]=u*w+d*M+g*k,t[7]=c*w+p*M+y*k,t[8]=s*A+h*T+m*S,t[9]=l*A+f*T+v*S,t[10]=u*A+d*T+g*S,t[11]=c*A+p*T+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)}e.exports=n},{}],186:[function(t,e,r){function n(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],h=e[10],f=e[11];return e!==t&&(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]),t[4]=a*i+u*n,t[5]=o*i+c*n,t[6]=s*i+h*n,t[7]=l*i+f*n,t[8]=u*i-a*n,t[9]=c*i-o*n,t[10]=h*i-s*n,t[11]=f*i-l*n,t}e.exports=n},{}],187:[function(t,e,r){function n(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],h=e[10],f=e[11];return e!==t&&(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]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-h*n,t[3]=l*i-f*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+h*i,t[11]=l*n+f*i,t}e.exports=n},{}],188:[function(t,e,r){function n(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],h=e[6],f=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+h*n,t[3]=l*i+f*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=h*i-s*n,t[7]=f*i-l*n,t}e.exports=n},{}],189:[function(t,e,r){function n(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}e.exports=n},{}],190:[function(t,e,r){function n(t,e,r){var n,i,a,o,s,l,u,c,h,f,d,p,m=r[0],v=r[1],g=r[2];return e===t?(t[12]=e[0]*m+e[4]*v+e[8]*g+e[12],t[13]=e[1]*m+e[5]*v+e[9]*g+e[13],t[14]=e[2]*m+e[6]*v+e[10]*g+e[14],t[15]=e[3]*m+e[7]*v+e[11]*g+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],h=e[8],f=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]=h,t[9]=f,t[10]=d,t[11]=p,t[12]=n*m+s*v+h*g+e[12],t[13]=i*m+l*v+f*g+e[13],t[14]=a*m+u*v+d*g+e[14],t[15]=o*m+c*v+p*g+e[15]),t}e.exports=n},{}],191:[function(t,e,r){function n(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}e.exports=n},{}],192:[function(t,e,r){\"use strict\";function n(t,e){switch(e.length){case 0:break;case 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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];return t[0]=o*c-s*u,t[1]=i*u-n*c,t[2]=n*s-i*o,t[3]=s*l-a*c,t[4]=r*c-i*l,t[5]=i*a-r*s,t[6]=a*u-o*l,t[7]=n*l-r*u,t[8]=r*o-n*a,t},i.determinant=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];return e*(u*a-o*l)+r*(-u*i+o*s)+n*(l*i-a*s)},i.multiply=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],h=e[8],f=r[0],d=r[1],p=r[2],m=r[3],v=r[4],g=r[5],y=r[6],b=r[7],x=r[8];return t[0]=f*n+d*o+p*u,t[1]=f*i+d*s+p*c,t[2]=f*a+d*l+p*h,t[3]=m*n+v*o+g*u,t[4]=m*i+v*s+g*c,t[5]=m*a+v*l+g*h,t[6]=y*n+b*o+x*u,t[7]=y*i+b*s+x*c,t[8]=y*a+b*l+x*h,t},i.mul=i.multiply,i.translate=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],h=e[8],f=r[0],d=r[1];return t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=f*n+d*o+u,t[7]=f*i+d*s+c,t[8]=f*a+d*l+h,t},i.rotate=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],h=e[8],f=Math.sin(r),d=Math.cos(r);return t[0]=d*n+f*o,t[1]=d*i+f*s,t[2]=d*a+f*l,t[3]=d*o-f*n,t[4]=d*s-f*i,t[5]=d*l-f*a,t[6]=u,t[7]=c,t[8]=h,t},i.scale=function(t,e,r){var n=r[0],i=r[1];return t[0]=n*e[0],t[1]=n*e[1],t[2]=n*e[2],t[3]=i*e[3],t[4]=i*e[4],t[5]=i*e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t},i.fromTranslation=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=e[0],t[7]=e[1],t[8]=1,t},i.fromRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},i.fromScaling=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=e[1],t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},i.fromMat2d=function(t,e){return t[0]=e[0],t[1]=e[1],t[2]=0,t[3]=e[2],t[4]=e[3],t[5]=0,t[6]=e[4],t[7]=e[5],t[8]=1,t},i.fromQuat=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,h=n*s,f=i*o,d=i*s,p=i*l,m=a*o,v=a*s,g=a*l;return t[0]=1-h-p,t[3]=c-g,t[6]=f+v,t[1]=c+g,t[4]=1-u-p,t[7]=d-m,t[2]=f-v,t[5]=d+m,t[8]=1-u-h,t},i.normalFromMat4=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],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],v=e[14],g=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,M=i*u-a*l,k=c*m-h*p,A=c*v-f*p,T=c*g-d*p,S=h*v-f*m,E=h*g-d*m,L=f*g-d*v,C=y*L-b*E+x*S+_*T-w*A+M*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(l*T-o*L-u*A)*C,t[2]=(o*E-s*T+u*k)*C,t[3]=(i*E-n*L-a*S)*C,t[4]=(r*L-i*T+a*A)*C,t[5]=(n*T-r*E-a*k)*C,t[6]=(m*M-v*w+g*_)*C,t[7]=(v*x-p*M-g*b)*C,t[8]=(p*w-m*x+g*y)*C,t):null},i.str=function(t){return\"mat3(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\")\"},i.frob=function(t){return Math.sqrt(Math.pow(t[0],2)+Math.pow(t[1],2)+Math.pow(t[2],2)+Math.pow(t[3],2)+Math.pow(t[4],2)+Math.pow(t[5],2)+Math.pow(t[6],2)+Math.pow(t[7],2)+Math.pow(t[8],2))},i.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t[3]=e[3]+r[3],t[4]=e[4]+r[4],t[5]=e[5]+r[5],t[6]=e[6]+r[6],t[7]=e[7]+r[7],t[8]=e[8]+r[8],t},i.subtract=function(t,e,r){return t[0]=e[0]-r[0],t[1]=e[1]-r[1],t[2]=e[2]-r[2],t[3]=e[3]-r[3],t[4]=e[4]-r[4],t[5]=e[5]-r[5],t[6]=e[6]-r[6],t[7]=e[7]-r[7],t[8]=e[8]-r[8],t},i.sub=i.subtract,i.multiplyScalar=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t[3]=e[3]*r,t[4]=e[4]*r,t[5]=e[5]*r,t[6]=e[6]*r,t[7]=e[7]*r,t[8]=e[8]*r,t},i.multiplyScalarAndAdd=function(t,e,r,n){return t[0]=e[0]+r[0]*n,t[1]=e[1]+r[1]*n,t[2]=e[2]+r[2]*n,t[3]=e[3]+r[3]*n,t[4]=e[4]+r[4]*n,t[5]=e[5]+r[5]*n,t[6]=e[6]+r[6]*n,t[7]=e[7]+r[7]*n,t[8]=e[8]+r[8]*n,t},i.exactEquals=function(t,e){return t[0]===e[0]&&t[1]===e[1]&&t[2]===e[2]&&t[3]===e[3]&&t[4]===e[4]&&t[5]===e[5]&&t[6]===e[6]&&t[7]===e[7]&&t[8]===e[8]},i.equals=function(t,e){var r=t[0],i=t[1],a=t[2],o=t[3],s=t[4],l=t[5],u=t[6],c=t[7],h=t[8],f=e[0],d=e[1],p=e[2],m=e[3],v=e[4],g=e[5],y=t[6],b=e[7],x=e[8];return 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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},i.copy=function(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t},i.fromValues=function(t,e,r,i,a,o,s,l,u,c,h,f,d,p,m,v){var g=new n.ARRAY_TYPE(16);return g[0]=t,g[1]=e,g[2]=r,g[3]=i,g[4]=a,g[5]=o,g[6]=s,g[7]=l,g[8]=u,g[9]=c,g[10]=h,g[11]=f,g[12]=d,g[13]=p,g[14]=m,g[15]=v,g},i.set=function(t,e,r,n,i,a,o,s,l,u,c,h,f,d,p,m,v){return t[0]=e,t[1]=r,t[2]=n,t[3]=i,t[4]=a,t[5]=o,t[6]=s,t[7]=l,t[8]=u,t[9]=c,t[10]=h,t[11]=f,t[12]=d,t[13]=p,t[14]=m,t[15]=v,t},i.identity=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},i.scalar.transpose=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},i.SIMD.transpose=function(t,e){var r,n,i,a,o,s,l,u,c,h;return r=SIMD.Float32x4.load(e,0),n=SIMD.Float32x4.load(e,4),i=SIMD.Float32x4.load(e,8),a=SIMD.Float32x4.load(e,12),o=SIMD.Float32x4.shuffle(r,n,0,1,4,5),s=SIMD.Float32x4.shuffle(i,a,0,1,4,5),l=SIMD.Float32x4.shuffle(o,s,0,2,4,6),u=SIMD.Float32x4.shuffle(o,s,1,3,5,7),SIMD.Float32x4.store(t,0,l),SIMD.Float32x4.store(t,4,u),o=SIMD.Float32x4.shuffle(r,n,2,3,6,7),s=SIMD.Float32x4.shuffle(i,a,2,3,6,7),c=SIMD.Float32x4.shuffle(o,s,0,2,4,6),h=SIMD.Float32x4.shuffle(o,s,1,3,5,7),SIMD.Float32x4.store(t,8,c),SIMD.Float32x4.store(t,12,h),t},i.transpose=n.USE_SIMD?i.SIMD.transpose:i.scalar.transpose,i.scalar.invert=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],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],v=e[14],g=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,M=i*u-a*l,k=c*m-h*p,A=c*v-f*p,T=c*g-d*p,S=h*v-f*m,E=h*g-d*m,L=f*g-d*v,C=y*L-b*E+x*S+_*T-w*A+M*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*M-v*w+g*_)*C,t[3]=(f*w-h*M-d*_)*C,t[4]=(l*T-o*L-u*A)*C,t[5]=(r*L-i*T+a*A)*C,t[6]=(v*x-p*M-g*b)*C,t[7]=(c*M-f*x+d*b)*C,t[8]=(o*E-s*T+u*k)*C,t[9]=(n*T-r*E-a*k)*C,t[10]=(p*w-m*x+g*y)*C,t[11]=(h*x-c*w-d*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*b-p*_-v*y)*C,t[15]=(c*_-h*b+f*y)*C,t):null},i.SIMD.invert=function(t,e){var r,n,i,a,o,s,l,u,c,h,f=SIMD.Float32x4.load(e,0),d=SIMD.Float32x4.load(e,4),p=SIMD.Float32x4.load(e,8),m=SIMD.Float32x4.load(e,12);return o=SIMD.Float32x4.shuffle(f,d,0,1,4,5),n=SIMD.Float32x4.shuffle(p,m,0,1,4,5),r=SIMD.Float32x4.shuffle(o,n,0,2,4,6),n=SIMD.Float32x4.shuffle(n,o,1,3,5,7),o=SIMD.Float32x4.shuffle(f,d,2,3,6,7),a=SIMD.Float32x4.shuffle(p,m,2,3,6,7),i=SIMD.Float32x4.shuffle(o,a,0,2,4,6),a=SIMD.Float32x4.shuffle(a,o,1,3,5,7),o=SIMD.Float32x4.mul(i,a),o=SIMD.Float32x4.swizzle(o,1,0,3,2),s=SIMD.Float32x4.mul(n,o),l=SIMD.Float32x4.mul(r,o),o=SIMD.Float32x4.swizzle(o,2,3,0,1),s=SIMD.Float32x4.sub(SIMD.Float32x4.mul(n,o),s),l=SIMD.Float32x4.sub(SIMD.Float32x4.mul(r,o),l),l=SIMD.Float32x4.swizzle(l,2,3,0,1),o=SIMD.Float32x4.mul(n,i),o=SIMD.Float32x4.swizzle(o,1,0,3,2),s=SIMD.Float32x4.add(SIMD.Float32x4.mul(a,o),s),c=SIMD.Float32x4.mul(r,o),o=SIMD.Float32x4.swizzle(o,2,3,0,1),s=SIMD.Float32x4.sub(s,SIMD.Float32x4.mul(a,o)),c=SIMD.Float32x4.sub(SIMD.Float32x4.mul(r,o),c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),o=SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(n,2,3,0,1),a),o=SIMD.Float32x4.swizzle(o,1,0,3,2),i=SIMD.Float32x4.swizzle(i,2,3,0,1),s=SIMD.Float32x4.add(SIMD.Float32x4.mul(i,o),s),u=SIMD.Float32x4.mul(r,o),o=SIMD.Float32x4.swizzle(o,2,3,0,1),s=SIMD.Float32x4.sub(s,SIMD.Float32x4.mul(i,o)),u=SIMD.Float32x4.sub(SIMD.Float32x4.mul(r,o),u),u=SIMD.Float32x4.swizzle(u,2,3,0,1),o=SIMD.Float32x4.mul(r,n),o=SIMD.Float32x4.swizzle(o,1,0,3,2),u=SIMD.Float32x4.add(SIMD.Float32x4.mul(a,o),u),c=SIMD.Float32x4.sub(SIMD.Float32x4.mul(i,o),c),o=SIMD.Float32x4.swizzle(o,2,3,0,1),u=SIMD.Float32x4.sub(SIMD.Float32x4.mul(a,o),u),c=SIMD.Float32x4.sub(c,SIMD.Float32x4.mul(i,o)),o=SIMD.Float32x4.mul(r,a),o=SIMD.Float32x4.swizzle(o,1,0,3,2),l=SIMD.Float32x4.sub(l,SIMD.Float32x4.mul(i,o)),u=SIMD.Float32x4.add(SIMD.Float32x4.mul(n,o),u),o=SIMD.Float32x4.swizzle(o,2,3,0,1),l=SIMD.Float32x4.add(SIMD.Float32x4.mul(i,o),l),u=SIMD.Float32x4.sub(u,SIMD.Float32x4.mul(n,o)),o=SIMD.Float32x4.mul(r,i),o=SIMD.Float32x4.swizzle(o,1,0,3,2),l=SIMD.Float32x4.add(SIMD.Float32x4.mul(a,o),l),c=SIMD.Float32x4.sub(c,SIMD.Float32x4.mul(n,o)),o=SIMD.Float32x4.swizzle(o,2,3,0,1),l=SIMD.Float32x4.sub(l,SIMD.Float32x4.mul(a,o)),c=SIMD.Float32x4.add(SIMD.Float32x4.mul(n,o),c),h=SIMD.Float32x4.mul(r,s),h=SIMD.Float32x4.add(SIMD.Float32x4.swizzle(h,2,3,0,1),h),h=SIMD.Float32x4.add(SIMD.Float32x4.swizzle(h,1,0,3,2),h),o=SIMD.Float32x4.reciprocalApproximation(h),h=SIMD.Float32x4.sub(SIMD.Float32x4.add(o,o),SIMD.Float32x4.mul(h,SIMD.Float32x4.mul(o,o))),(h=SIMD.Float32x4.swizzle(h,0,0,0,0))?(SIMD.Float32x4.store(t,0,SIMD.Float32x4.mul(h,s)),SIMD.Float32x4.store(t,4,SIMD.Float32x4.mul(h,l)),SIMD.Float32x4.store(t,8,SIMD.Float32x4.mul(h,u)),SIMD.Float32x4.store(t,12,SIMD.Float32x4.mul(h,c)),t):null},i.invert=n.USE_SIMD?i.SIMD.invert:i.scalar.invert,i.scalar.adjoint=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],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],v=e[14],g=e[15];return t[0]=s*(f*g-d*v)-h*(l*g-u*v)+m*(l*d-u*f),t[1]=-(n*(f*g-d*v)-h*(i*g-a*v)+m*(i*d-a*f)),t[2]=n*(l*g-u*v)-s*(i*g-a*v)+m*(i*u-a*l),t[3]=-(n*(l*d-u*f)-s*(i*d-a*f)+h*(i*u-a*l)),t[4]=-(o*(f*g-d*v)-c*(l*g-u*v)+p*(l*d-u*f)),t[5]=r*(f*g-d*v)-c*(i*g-a*v)+p*(i*d-a*f),t[6]=-(r*(l*g-u*v)-o*(i*g-a*v)+p*(i*u-a*l)),t[7]=r*(l*d-u*f)-o*(i*d-a*f)+c*(i*u-a*l),t[8]=o*(h*g-d*m)-c*(s*g-u*m)+p*(s*d-u*h),t[9]=-(r*(h*g-d*m)-c*(n*g-a*m)+p*(n*d-a*h)),t[10]=r*(s*g-u*m)-o*(n*g-a*m)+p*(n*u-a*s),t[11]=-(r*(s*d-u*h)-o*(n*d-a*h)+c*(n*u-a*s)),t[12]=-(o*(h*v-f*m)-c*(s*v-l*m)+p*(s*f-l*h)),t[13]=r*(h*v-f*m)-c*(n*v-i*m)+p*(n*f-i*h),t[14]=-(r*(s*v-l*m)-o*(n*v-i*m)+p*(n*l-i*s)),t[15]=r*(s*f-l*h)-o*(n*f-i*h)+c*(n*l-i*s),t},i.SIMD.adjoint=function(t,e){var r,n,i,a,o,s,l,u,c,h,f,d,p,r=SIMD.Float32x4.load(e,0),n=SIMD.Float32x4.load(e,4),i=SIMD.Float32x4.load(e,8),a=SIMD.Float32x4.load(e,12)\n",
       ";return c=SIMD.Float32x4.shuffle(r,n,0,1,4,5),s=SIMD.Float32x4.shuffle(i,a,0,1,4,5),o=SIMD.Float32x4.shuffle(c,s,0,2,4,6),s=SIMD.Float32x4.shuffle(s,c,1,3,5,7),c=SIMD.Float32x4.shuffle(r,n,2,3,6,7),u=SIMD.Float32x4.shuffle(i,a,2,3,6,7),l=SIMD.Float32x4.shuffle(c,u,0,2,4,6),u=SIMD.Float32x4.shuffle(u,c,1,3,5,7),c=SIMD.Float32x4.mul(l,u),c=SIMD.Float32x4.swizzle(c,1,0,3,2),h=SIMD.Float32x4.mul(s,c),f=SIMD.Float32x4.mul(o,c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),h=SIMD.Float32x4.sub(SIMD.Float32x4.mul(s,c),h),f=SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,c),f),f=SIMD.Float32x4.swizzle(f,2,3,0,1),c=SIMD.Float32x4.mul(s,l),c=SIMD.Float32x4.swizzle(c,1,0,3,2),h=SIMD.Float32x4.add(SIMD.Float32x4.mul(u,c),h),p=SIMD.Float32x4.mul(o,c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),h=SIMD.Float32x4.sub(h,SIMD.Float32x4.mul(u,c)),p=SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,c),p),p=SIMD.Float32x4.swizzle(p,2,3,0,1),c=SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,2,3,0,1),u),c=SIMD.Float32x4.swizzle(c,1,0,3,2),l=SIMD.Float32x4.swizzle(l,2,3,0,1),h=SIMD.Float32x4.add(SIMD.Float32x4.mul(l,c),h),d=SIMD.Float32x4.mul(o,c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),h=SIMD.Float32x4.sub(h,SIMD.Float32x4.mul(l,c)),d=SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,c),d),d=SIMD.Float32x4.swizzle(d,2,3,0,1),c=SIMD.Float32x4.mul(o,s),c=SIMD.Float32x4.swizzle(c,1,0,3,2),d=SIMD.Float32x4.add(SIMD.Float32x4.mul(u,c),d),p=SIMD.Float32x4.sub(SIMD.Float32x4.mul(l,c),p),c=SIMD.Float32x4.swizzle(c,2,3,0,1),d=SIMD.Float32x4.sub(SIMD.Float32x4.mul(u,c),d),p=SIMD.Float32x4.sub(p,SIMD.Float32x4.mul(l,c)),c=SIMD.Float32x4.mul(o,u),c=SIMD.Float32x4.swizzle(c,1,0,3,2),f=SIMD.Float32x4.sub(f,SIMD.Float32x4.mul(l,c)),d=SIMD.Float32x4.add(SIMD.Float32x4.mul(s,c),d),c=SIMD.Float32x4.swizzle(c,2,3,0,1),f=SIMD.Float32x4.add(SIMD.Float32x4.mul(l,c),f),d=SIMD.Float32x4.sub(d,SIMD.Float32x4.mul(s,c)),c=SIMD.Float32x4.mul(o,l),c=SIMD.Float32x4.swizzle(c,1,0,3,2),f=SIMD.Float32x4.add(SIMD.Float32x4.mul(u,c),f),p=SIMD.Float32x4.sub(p,SIMD.Float32x4.mul(s,c)),c=SIMD.Float32x4.swizzle(c,2,3,0,1),f=SIMD.Float32x4.sub(f,SIMD.Float32x4.mul(u,c)),p=SIMD.Float32x4.add(SIMD.Float32x4.mul(s,c),p),SIMD.Float32x4.store(t,0,h),SIMD.Float32x4.store(t,4,f),SIMD.Float32x4.store(t,8,d),SIMD.Float32x4.store(t,12,p),t},i.adjoint=n.USE_SIMD?i.SIMD.adjoint:i.scalar.adjoint,i.determinant=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],h=t[10],f=t[11],d=t[12],p=t[13],m=t[14],v=t[15];return(e*o-r*a)*(h*v-f*m)-(e*s-n*a)*(c*v-f*p)+(e*l-i*a)*(c*m-h*p)+(r*s-n*o)*(u*v-f*d)-(r*l-i*o)*(u*m-h*d)+(n*l-i*s)*(u*p-c*d)},i.SIMD.multiply=function(t,e,r){var n=SIMD.Float32x4.load(e,0),i=SIMD.Float32x4.load(e,4),a=SIMD.Float32x4.load(e,8),o=SIMD.Float32x4.load(e,12),s=SIMD.Float32x4.load(r,0),l=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,3,3,3,3),o))));SIMD.Float32x4.store(t,0,l);var u=SIMD.Float32x4.load(r,4),c=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,3,3,3,3),o))));SIMD.Float32x4.store(t,4,c);var h=SIMD.Float32x4.load(r,8),f=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,3,3,3,3),o))));SIMD.Float32x4.store(t,8,f);var d=SIMD.Float32x4.load(r,12),p=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,3,3,3,3),o))));return SIMD.Float32x4.store(t,12,p),t},i.scalar.multiply=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],h=e[8],f=e[9],d=e[10],p=e[11],m=e[12],v=e[13],g=e[14],y=e[15],b=r[0],x=r[1],_=r[2],w=r[3];return t[0]=b*n+x*s+_*h+w*m,t[1]=b*i+x*l+_*f+w*v,t[2]=b*a+x*u+_*d+w*g,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+_*h+w*m,t[5]=b*i+x*l+_*f+w*v,t[6]=b*a+x*u+_*d+w*g,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+_*h+w*m,t[9]=b*i+x*l+_*f+w*v,t[10]=b*a+x*u+_*d+w*g,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+_*h+w*m,t[13]=b*i+x*l+_*f+w*v,t[14]=b*a+x*u+_*d+w*g,t[15]=b*o+x*c+_*p+w*y,t},i.multiply=n.USE_SIMD?i.SIMD.multiply:i.scalar.multiply,i.mul=i.multiply,i.scalar.translate=function(t,e,r){var n,i,a,o,s,l,u,c,h,f,d,p,m=r[0],v=r[1],g=r[2];return e===t?(t[12]=e[0]*m+e[4]*v+e[8]*g+e[12],t[13]=e[1]*m+e[5]*v+e[9]*g+e[13],t[14]=e[2]*m+e[6]*v+e[10]*g+e[14],t[15]=e[3]*m+e[7]*v+e[11]*g+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],h=e[8],f=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]=h,t[9]=f,t[10]=d,t[11]=p,t[12]=n*m+s*v+h*g+e[12],t[13]=i*m+l*v+f*g+e[13],t[14]=a*m+u*v+d*g+e[14],t[15]=o*m+c*v+p*g+e[15]),t},i.SIMD.translate=function(t,e,r){var n=SIMD.Float32x4.load(e,0),i=SIMD.Float32x4.load(e,4),a=SIMD.Float32x4.load(e,8),o=SIMD.Float32x4.load(e,12),s=SIMD.Float32x4(r[0],r[1],r[2],0);e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11]),n=SIMD.Float32x4.mul(n,SIMD.Float32x4.swizzle(s,0,0,0,0)),i=SIMD.Float32x4.mul(i,SIMD.Float32x4.swizzle(s,1,1,1,1)),a=SIMD.Float32x4.mul(a,SIMD.Float32x4.swizzle(s,2,2,2,2));var l=SIMD.Float32x4.add(n,SIMD.Float32x4.add(i,SIMD.Float32x4.add(a,o)));return SIMD.Float32x4.store(t,12,l),t},i.translate=n.USE_SIMD?i.SIMD.translate:i.scalar.translate,i.scalar.scale=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},i.SIMD.scale=function(t,e,r){var n,i,a,o=SIMD.Float32x4(r[0],r[1],r[2],0);return n=SIMD.Float32x4.load(e,0),SIMD.Float32x4.store(t,0,SIMD.Float32x4.mul(n,SIMD.Float32x4.swizzle(o,0,0,0,0))),i=SIMD.Float32x4.load(e,4),SIMD.Float32x4.store(t,4,SIMD.Float32x4.mul(i,SIMD.Float32x4.swizzle(o,1,1,1,1))),a=SIMD.Float32x4.load(e,8),SIMD.Float32x4.store(t,8,SIMD.Float32x4.mul(a,SIMD.Float32x4.swizzle(o,2,2,2,2))),t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t},i.scale=n.USE_SIMD?i.SIMD.scale:i.scalar.scale,i.rotate=function(t,e,r,i){var a,o,s,l,u,c,h,f,d,p,m,v,g,y,b,x,_,w,M,k,A,T,S,E,L=i[0],C=i[1],I=i[2],z=Math.sqrt(L*L+C*C+I*I);return Math.abs(z)<n.EPSILON?null:(z=1/z,L*=z,C*=z,I*=z,a=Math.sin(r),o=Math.cos(r),s=1-o,l=e[0],u=e[1],c=e[2],h=e[3],f=e[4],d=e[5],p=e[6],m=e[7],v=e[8],g=e[9],y=e[10],b=e[11],x=L*L*s+o,_=C*L*s+I*a,w=I*L*s-C*a,M=L*C*s-I*a,k=C*C*s+o,A=I*C*s+L*a,T=L*I*s+C*a,S=C*I*s-L*a,E=I*I*s+o,t[0]=l*x+f*_+v*w,t[1]=u*x+d*_+g*w,t[2]=c*x+p*_+y*w,t[3]=h*x+m*_+b*w,t[4]=l*M+f*k+v*A,t[5]=u*M+d*k+g*A,t[6]=c*M+p*k+y*A,t[7]=h*M+m*k+b*A,t[8]=l*T+f*S+v*E,t[9]=u*T+d*S+g*E,t[10]=c*T+p*S+y*E,t[11]=h*T+m*S+b*E,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)},i.scalar.rotateX=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],h=e[10],f=e[11];return e!==t&&(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]),t[4]=a*i+u*n,t[5]=o*i+c*n,t[6]=s*i+h*n,t[7]=l*i+f*n,t[8]=u*i-a*n,t[9]=c*i-o*n,t[10]=h*i-s*n,t[11]=f*i-l*n,t},i.SIMD.rotateX=function(t,e,r){var n=SIMD.Float32x4.splat(Math.sin(r)),i=SIMD.Float32x4.splat(Math.cos(r));e!==t&&(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]);var a=SIMD.Float32x4.load(e,4),o=SIMD.Float32x4.load(e,8);return SIMD.Float32x4.store(t,4,SIMD.Float32x4.add(SIMD.Float32x4.mul(a,i),SIMD.Float32x4.mul(o,n))),SIMD.Float32x4.store(t,8,SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,i),SIMD.Float32x4.mul(a,n))),t},i.rotateX=n.USE_SIMD?i.SIMD.rotateX:i.scalar.rotateX,i.scalar.rotateY=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],h=e[10],f=e[11];return e!==t&&(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]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-h*n,t[3]=l*i-f*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+h*i,t[11]=l*n+f*i,t},i.SIMD.rotateY=function(t,e,r){var n=SIMD.Float32x4.splat(Math.sin(r)),i=SIMD.Float32x4.splat(Math.cos(r));e!==t&&(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]);var a=SIMD.Float32x4.load(e,0),o=SIMD.Float32x4.load(e,8);return SIMD.Float32x4.store(t,0,SIMD.Float32x4.sub(SIMD.Float32x4.mul(a,i),SIMD.Float32x4.mul(o,n))),SIMD.Float32x4.store(t,8,SIMD.Float32x4.add(SIMD.Float32x4.mul(a,n),SIMD.Float32x4.mul(o,i))),t},i.rotateY=n.USE_SIMD?i.SIMD.rotateY:i.scalar.rotateY,i.scalar.rotateZ=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],h=e[6],f=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+h*n,t[3]=l*i+f*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=h*i-s*n,t[7]=f*i-l*n,t},i.SIMD.rotateZ=function(t,e,r){var n=SIMD.Float32x4.splat(Math.sin(r)),i=SIMD.Float32x4.splat(Math.cos(r));e!==t&&(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]);var a=SIMD.Float32x4.load(e,0),o=SIMD.Float32x4.load(e,4);return SIMD.Float32x4.store(t,0,SIMD.Float32x4.add(SIMD.Float32x4.mul(a,i),SIMD.Float32x4.mul(o,n))),SIMD.Float32x4.store(t,4,SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,i),SIMD.Float32x4.mul(a,n))),t},i.rotateZ=n.USE_SIMD?i.SIMD.rotateZ:i.scalar.rotateZ,i.fromTranslation=function(t,e){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]=e[0],t[13]=e[1],t[14]=e[2],t[15]=1,t},i.fromScaling=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=e[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.fromRotation=function(t,e,r){var i,a,o,s=r[0],l=r[1],u=r[2],c=Math.sqrt(s*s+l*l+u*u);return Math.abs(c)<n.EPSILON?null:(c=1/c,s*=c,l*=c,u*=c,i=Math.sin(e),a=Math.cos(e),o=1-a,t[0]=s*s*o+a,t[1]=l*s*o+u*i,t[2]=u*s*o-l*i,t[3]=0,t[4]=s*l*o-u*i,t[5]=l*l*o+a,t[6]=u*l*o+s*i,t[7]=0,t[8]=s*u*o+l*i,t[9]=l*u*o-s*i,t[10]=u*u*o+a,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t)},i.fromXRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=n,t[6]=r,t[7]=0,t[8]=0,t[9]=-r,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.fromYRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=0,t[2]=-r,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=r,t[9]=0,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.fromZRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=0,t[4]=-r,t[5]=n,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},i.fromRotationTranslation=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,h=n*l,f=n*u,d=i*l,p=i*u,m=a*u,v=o*s,g=o*l,y=o*u;return t[0]=1-(d+m),t[1]=h+y,t[2]=f-g,t[3]=0,t[4]=h-y,t[5]=1-(c+m),t[6]=p+v,t[7]=0,t[8]=f+g,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},i.getTranslation=function(t,e){return t[0]=e[12],t[1]=e[13],t[2]=e[14],t},i.getRotation=function(t,e){var r=e[0]+e[5]+e[10],n=0;return r>0?(n=2*Math.sqrt(r+1),t[3]=.25*n,t[0]=(e[6]-e[9])/n,t[1]=(e[8]-e[2])/n,t[2]=(e[1]-e[4])/n):e[0]>e[5]&e[0]>e[10]?(n=2*Math.sqrt(1+e[0]-e[5]-e[10]),t[3]=(e[6]-e[9])/n,t[0]=.25*n,t[1]=(e[1]+e[4])/n,t[2]=(e[8]+e[2])/n):e[5]>e[10]?(n=2*Math.sqrt(1+e[5]-e[0]-e[10]),t[3]=(e[8]-e[2])/n,t[0]=(e[1]+e[4])/n,t[1]=.25*n,t[2]=(e[6]+e[9])/n):(n=2*Math.sqrt(1+e[10]-e[0]-e[5]),t[3]=(e[1]-e[4])/n,t[0]=(e[8]+e[2])/n,t[1]=(e[6]+e[9])/n,t[2]=.25*n),t},i.fromRotationTranslationScale=function(t,e,r,n){var i=e[0],a=e[1],o=e[2],s=e[3],l=i+i,u=a+a,c=o+o,h=i*l,f=i*u,d=i*c,p=a*u,m=a*c,v=o*c,g=s*l,y=s*u,b=s*c,x=n[0],_=n[1],w=n[2];return t[0]=(1-(p+v))*x,t[1]=(f+b)*x,t[2]=(d-y)*x,t[3]=0,t[4]=(f-b)*_,t[5]=(1-(h+v))*_,t[6]=(m+g)*_,t[7]=0,t[8]=(d+y)*w,t[9]=(m-g)*w,t[10]=(1-(h+p))*w,t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t},i.fromRotationTranslationScaleOrigin=function(t,e,r,n,i){var a=e[0],o=e[1],s=e[2],l=e[3],u=a+a,c=o+o,h=s+s,f=a*u,d=a*c,p=a*h,m=o*c,v=o*h,g=s*h,y=l*u,b=l*c,x=l*h,_=n[0],w=n[1],M=n[2],k=i[0],A=i[1],T=i[2];return t[0]=(1-(m+g))*_,t[1]=(d+x)*_,t[2]=(p-b)*_,t[3]=0,t[4]=(d-x)*w,t[5]=(1-(f+g))*w,t[6]=(v+y)*w,t[7]=0,t[8]=(p+b)*M,t[9]=(v-y)*M,t[10]=(1-(f+m))*M,t[11]=0,t[12]=r[0]+k-(t[0]*k+t[4]*A+t[8]*T),t[13]=r[1]+A-(t[1]*k+t[5]*A+t[9]*T),t[14]=r[2]+T-(t[2]*k+t[6]*A+t[10]*T),t[15]=1,t},i.fromQuat=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,h=n*s,f=i*o,d=i*s,p=i*l,m=a*o,v=a*s,g=a*l;return t[0]=1-h-p,t[1]=c+g,t[2]=f-v,t[3]=0,t[4]=c-g,t[5]=1-u-p,t[6]=d+m,t[7]=0,t[8]=f+v,t[9]=d-m,t[10]=1-u-h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.frustum=function(t,e,r,n,i,a,o){var s=1/(r-e),l=1/(i-n),u=1/(a-o);return t[0]=2*a*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=2*a*l,t[6]=0,t[7]=0,t[8]=(r+e)*s,t[9]=(i+n)*l,t[10]=(o+a)*u,t[11]=-1,t[12]=0,t[13]=0,t[14]=o*a*2*u,t[15]=0,t},i.perspective=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},i.perspectiveFromFieldOfView=function(t,e,r,n){var i=Math.tan(e.upDegrees*Math.PI/180),a=Math.tan(e.downDegrees*Math.PI/180),o=Math.tan(e.leftDegrees*Math.PI/180),s=Math.tan(e.rightDegrees*Math.PI/180),l=2/(o+s),u=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=u,t[6]=0,t[7]=0,t[8]=-(o-s)*l*.5,t[9]=(i-a)*u*.5,t[10]=n/(r-n),t[11]=-1,t[12]=0,t[13]=0,t[14]=n*r/(r-n),t[15]=0,t},i.ortho=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},i.lookAt=function(t,e,r,a){var o,s,l,u,c,h,f,d,p,m,v=e[0],g=e[1],y=e[2],b=a[0],x=a[1],_=a[2],w=r[0],M=r[1],k=r[2];return Math.abs(v-w)<n.EPSILON&&Math.abs(g-M)<n.EPSILON&&Math.abs(y-k)<n.EPSILON?i.identity(t):(f=v-w,d=g-M,p=y-k,m=1/Math.sqrt(f*f+d*d+p*p),f*=m,d*=m,p*=m,o=x*p-_*d,s=_*f-b*p,l=b*d-x*f,m=Math.sqrt(o*o+s*s+l*l),m?(m=1/m,o*=m,s*=m,l*=m):(o=0,s=0,l=0),u=d*l-p*s,c=p*o-f*l,h=f*s-d*o,m=Math.sqrt(u*u+c*c+h*h),m?(m=1/m,u*=m,c*=m,h*=m):(u=0,c=0,h=0),t[0]=o,t[1]=u,t[2]=f,t[3]=0,t[4]=s,t[5]=c,t[6]=d,t[7]=0,t[8]=l,t[9]=h,t[10]=p,t[11]=0,t[12]=-(o*v+s*g+l*y),t[13]=-(u*v+c*g+h*y),t[14]=-(f*v+d*g+p*y),t[15]=1,t)},i.str=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"},i.frob=function(t){return Math.sqrt(Math.pow(t[0],2)+Math.pow(t[1],2)+Math.pow(t[2],2)+Math.pow(t[3],2)+Math.pow(t[4],2)+Math.pow(t[5],2)+Math.pow(t[6],2)+Math.pow(t[7],2)+Math.pow(t[8],2)+Math.pow(t[9],2)+Math.pow(t[10],2)+Math.pow(t[11],2)+Math.pow(t[12],2)+Math.pow(t[13],2)+Math.pow(t[14],2)+Math.pow(t[15],2))},i.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t[3]=e[3]+r[3],t[4]=e[4]+r[4],t[5]=e[5]+r[5],t[6]=e[6]+r[6],t[7]=e[7]+r[7],t[8]=e[8]+r[8],t[9]=e[9]+r[9],t[10]=e[10]+r[10],t[11]=e[11]+r[11],t[12]=e[12]+r[12],t[13]=e[13]+r[13],t[14]=e[14]+r[14],t[15]=e[15]+r[15],t},i.subtract=function(t,e,r){return t[0]=e[0]-r[0],t[1]=e[1]-r[1],t[2]=e[2]-r[2],t[3]=e[3]-r[3],t[4]=e[4]-r[4],t[5]=e[5]-r[5],t[6]=e[6]-r[6],t[7]=e[7]-r[7],t[8]=e[8]-r[8],t[9]=e[9]-r[9],t[10]=e[10]-r[10],t[11]=e[11]-r[11],t[12]=e[12]-r[12],t[13]=e[13]-r[13],t[14]=e[14]-r[14],t[15]=e[15]-r[15],t},i.sub=i.subtract,i.multiplyScalar=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t[3]=e[3]*r,t[4]=e[4]*r,t[5]=e[5]*r,t[6]=e[6]*r,t[7]=e[7]*r,t[8]=e[8]*r,t[9]=e[9]*r,t[10]=e[10]*r,t[11]=e[11]*r,t[12]=e[12]*r,t[13]=e[13]*r,t[14]=e[14]*r,t[15]=e[15]*r,t},i.multiplyScalarAndAdd=function(t,e,r,n){return t[0]=e[0]+r[0]*n,t[1]=e[1]+r[1]*n,t[2]=e[2]+r[2]*n,t[3]=e[3]+r[3]*n,t[4]=e[4]+r[4]*n,t[5]=e[5]+r[5]*n,t[6]=e[6]+r[6]*n,t[7]=e[7]+r[7]*n,t[8]=e[8]+r[8]*n,t[9]=e[9]+r[9]*n,t[10]=e[10]+r[10]*n,t[11]=e[11]+r[11]*n,t[12]=e[12]+r[12]*n,t[13]=e[13]+r[13]*n,t[14]=e[14]+r[14]*n,t[15]=e[15]+r[15]*n,t},i.exactEquals=function(t,e){return t[0]===e[0]&&t[1]===e[1]&&t[2]===e[2]&&t[3]===e[3]&&t[4]===e[4]&&t[5]===e[5]&&t[6]===e[6]&&t[7]===e[7]&&t[8]===e[8]&&t[9]===e[9]&&t[10]===e[10]&&t[11]===e[11]&&t[12]===e[12]&&t[13]===e[13]&&t[14]===e[14]&&t[15]===e[15]},i.equals=function(t,e){var r=t[0],i=t[1],a=t[2],o=t[3],s=t[4],l=t[5],u=t[6],c=t[7],h=t[8],f=t[9],d=t[10],p=t[11],m=t[12],v=t[13],g=t[14],y=t[15],b=e[0],x=e[1],_=e[2],w=e[3],M=e[4],k=e[5],A=e[6],T=e[7],S=e[8],E=e[9],L=e[10],C=e[11],I=e[12],z=e[13],D=e[14],P=e[15];return 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vec4 m_position  = model * vec4(position, 1.0);\\n  vec4 t_position  = view * m_position;\\n  gl_Position      = projection * t_position;\\n  f_color          = color;\\n  f_normal         = normal;\\n  f_data           = position;\\n  f_eyeDirection   = eyePosition   - position;\\n  f_lightDirection = lightPosition - position;\\n  f_uv             = uv;\\n}\",fragment:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution_2_0(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\\n\\n\\nfloat cookTorranceSpecular_1_1(\\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_2_0(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\\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     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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}\",fragment:\"precision mediump float;\\n#define GLSLIFY 1\\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(any(lessThan(f_data, clipBounds[0])) || \\n     any(greaterThan(f_data, clipBounds[1]))) {\\n    discard;\\n  }\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\",attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:\"precision mediump float;\\n#define GLSLIFY 1\\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(any(lessThan(position, clipBounds[0])) || \\n     any(greaterThan(position, clipBounds[1]))) {\\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}\",fragment:\"precision mediump 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) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\",attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:\"precision mediump 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}\",fragment:n,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:\"precision mediump float;\\n#define GLSLIFY 1\\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(any(lessThan(position, clipBounds[0])) || \\n     any(greaterThan(position, clipBounds[1]))) {\\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}\",fragment:n,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:\"precision mediump 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}\",fragment:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor,1);\\n}\\n\",attributes:[{name:\"position\",type:\"vec3\"}]}},{}],205:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l,u,c,h,f,d,p,m,v,g,y,b,x,_,w,M,k,A,T){this.gl=t,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=f,this.triangleUVs=h,this.triangleIds=u,this.triangleVAO=d,this.triangleCount=0,this.lineWidth=1,this.edgePositions=p,this.edgeColors=v,this.edgeUVs=g,this.edgeIds=m,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=b,this.pointColors=_,this.pointUVs=w,this.pointSizes=M,this.pointIds=x,this.pointVAO=k,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,this.contourVAO=T,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=D,this._view=D,this._projection=D,this._resolution=[1,1]}function i(t){for(var e=w({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return _(r,[256,256,4],[4,0,1])}function a(t,e,r){for(var n=new Array(e),i=0;i<e;++i)n[i]=0;for(var a=t.length,i=0;i<a;++i)for(var o=t[i],s=0;s<o.length;++s)n[o[s]]=r[i];return n}function o(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}function s(t){var e=p(t,S.vertex,S.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function l(t){var e=p(t,E.vertex,E.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function u(t){var e=p(t,L.vertex,L.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function c(t){var e=p(t,C.vertex,C.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function h(t){var e=p(t,I.vertex,I.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function f(t){var e=p(t,z.vertex,z.fragment);return e.attributes.position.location=0,e}function d(t,e){1===arguments.length&&(e=t,t=e.gl);var r=s(t),i=l(t),a=u(t),o=c(t),d=h(t),p=f(t),y=g(t,_(new Uint8Array([255,255,255,255]),[1,1,4]));y.generateMipmap(),y.minFilter=t.LINEAR_MIPMAP_LINEAR,y.magFilter=t.LINEAR;var b=m(t),x=m(t),w=m(t),M=m(t),k=m(t),A=v(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:x,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2},{buffer:M,type:t.FLOAT,size:3}]),T=m(t),S=m(t),E=m(t),L=m(t),C=v(t,[{buffer:T,type:t.FLOAT,size:3},{buffer:L,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:S,type:t.FLOAT,size:4},{buffer:E,type:t.FLOAT,size:2}]),I=m(t),z=m(t),D=m(t),P=m(t),O=m(t),R=v(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:O,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:z,type:t.FLOAT,size:4},{buffer:D,type:t.FLOAT,size:2},{buffer:P,type:t.FLOAT,size:1}]),F=m(t),j=v(t,[{buffer:F,type:t.FLOAT,size:3}]),N=new n(t,y,r,i,a,o,d,p,b,k,x,w,M,A,T,L,S,E,C,I,O,z,D,P,R,F,j);return N.update(e),N}var p=t(\"gl-shader\"),m=t(\"gl-buffer\"),v=t(\"gl-vao\"),g=t(\"gl-texture2d\"),y=t(\"normals\"),b=t(\"gl-mat4/multiply\"),x=t(\"gl-mat4/invert\"),_=t(\"ndarray\"),w=t(\"colormap\"),M=t(\"simplicial-complex-contour\"),k=t(\"typedarray-pool\"),A=t(\"./lib/shaders\"),T=t(\"./lib/closest-point\"),S=A.meshShader,E=A.wireShader,L=A.pointShader,C=A.pickShader,I=A.pointPickShader,z=A.contourShader,D=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],P=n.prototype;P.isOpaque=function(){return this.opacity>=1},P.isTransparent=function(){return this.opacity<1},P.pickSlots=1,P.setPickBase=function(t){this.pickId=t},P.highlight=function(t){if(!t||!this.contourEnable)return void(this.contourCount=0);for(var e=M(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=k.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var h=u[0];2===u.length&&(h=u[c]);for(var f=n[h][0],d=n[h][1],p=i[h],m=1-p,v=this.positions[f],g=this.positions[d],y=0;y<3;++y)o[s++]=p*v[y]+m*g[y]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),k.free(o)},P.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=g(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(i(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var s=[],l=[],u=[],c=[],h=[],f=[],d=[],p=[],m=[],v=[],b=[],x=[],_=[],w=[];this.cells=r,this.positions=n;var M=t.vertexNormals,k=t.cellNormals,A=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,T=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!k&&(k=y.faceNormals(r,n,T)),k||M||(M=y.vertexNormals(r,n,A));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,I=t.vertexIntensity,z=t.cellUVs,D=t.cellIntensity,P=1/0,O=-1/0;if(!C&&!z)if(I)if(t.vertexIntensityBounds)P=+t.vertexIntensityBounds[0],O=+t.vertexIntensityBounds[1];else for(var R=0;R<I.length;++R){var F=I[R];P=Math.min(P,F),O=Math.max(O,F)}else if(D)for(var R=0;R<D.length;++R){var F=D[R];P=Math.min(P,F),O=Math.max(O,F)}else for(var R=0;R<n.length;++R){var F=n[R][2];P=Math.min(P,F),O=Math.max(O,F)}this.intensity=I||(D?a(r,n.length,D):o(n));var j=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(var R=0;R<n.length;++R)for(var B=n[R],U=0;U<3;++U)!isNaN(B[U])&&isFinite(B[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],B[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],B[U]));var V=0,H=0,q=0;t:for(var R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(var Y=G[0],B=n[Y],U=0;U<3;++U)if(isNaN(B[U])||!isFinite(B[U]))continue t;v.push(B[0],B[1],B[2]);var W;W=S?S[Y]:E?E[R]:L,3===W.length?b.push(W[0],W[1],W[2],1):b.push(W[0],W[1],W[2],W[3]);var X;X=C?C[Y]:I?[(I[Y]-P)/(O-P),0]:z?z[R]:D?[(D[R]-P)/(O-P),0]:[(B[2]-P)/(O-P),0],x.push(X[0],X[1]),j?_.push(j[Y]):_.push(N),w.push(R),q+=1;break;case 2:for(var U=0;U<2;++U)for(var Y=G[U],B=n[Y],Z=0;Z<3;++Z)if(isNaN(B[Z])||!isFinite(B[Z]))continue t;for(var U=0;U<2;++U){var Y=G[U],B=n[Y];f.push(B[0],B[1],B[2]);var W;W=S?S[Y]:E?E[R]:L,3===W.length?d.push(W[0],W[1],W[2],1):d.push(W[0],W[1],W[2],W[3]);var X;X=C?C[Y]:I?[(I[Y]-P)/(O-P),0]:z?z[R]:D?[(D[R]-P)/(O-P),0]:[(B[2]-P)/(O-P),0],p.push(X[0],X[1]),m.push(R)}H+=1;break;case 3:for(var U=0;U<3;++U)for(var Y=G[U],B=n[Y],Z=0;Z<3;++Z)if(isNaN(B[Z])||!isFinite(B[Z]))continue t;for(var U=0;U<3;++U){var Y=G[U],B=n[Y];s.push(B[0],B[1],B[2]);var W;W=S?S[Y]:E?E[R]:L,3===W.length?l.push(W[0],W[1],W[2],1):l.push(W[0],W[1],W[2],W[3]);var X;X=C?C[Y]:I?[(I[Y]-P)/(O-P),0]:z?z[R]:D?[(D[R]-P)/(O-P),0]:[(B[2]-P)/(O-P),0],c.push(X[0],X[1]);var J;J=M?M[Y]:k[R],u.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(b),this.pointUVs.update(x),this.pointSizes.update(_),this.pointIds.update(new Uint32Array(w)),this.edgePositions.update(f),this.edgeColors.update(d),this.edgeUVs.update(p),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(s),this.triangleColors.update(l),this.triangleUVs.update(c),this.triangleNormals.update(u),this.triangleIds.update(new Uint32Array(h))}},P.drawTransparent=P.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||D,n=t.view||D,i=t.projection||D,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<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,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};this.texture.bind(0);var l=new Array(16);b(l,s.view,s.model),b(l,s.projection,l),x(l,l);for(var o=0;o<3;++o)s.eyePosition[o]=l[12+o]/l[15];for(var u=l[15],o=0;o<3;++o)u+=this.lightPosition[o]*l[4*o+3];for(var o=0;o<3;++o){for(var c=l[12+o],h=0;h<3;++h)c+=l[4*h+o]*this.lightPosition[h];s.lightPosition[o]=c/u}if(this.triangleCount>0){var f=this.triShader;f.bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}if(this.edgeCount>0&&this.lineWidth>0){var f=this.lineShader;f.bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()}if(this.pointCount>0){var f=this.pointShader;f.bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()}if(this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0){var f=this.contourShader;f.bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind()}},P.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||D,n=t.view||D,i=t.projection||D,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<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,pickId:this.pickId/255},l=this.pickShader;if(l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0){var l=this.pointPickShader;l.bind(),l.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()}},P.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<r.length;++a)i[a]=n[r[a]];var o=T(i,[t.coord[0],this._resolution[1]-t.coord[1]],this._model,this._view,this._projection,this._resolution);if(!o)return null;for(var s=o[2],l=0,a=0;a<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]]]}},P.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=d},{\"./lib/closest-point\":203,\"./lib/shaders\":204,colormap:99,\"gl-buffer\":156,\"gl-mat4/invert\":181,\"gl-mat4/multiply\":183,\"gl-shader\":255,\"gl-texture2d\":267,\"gl-vao\":271,ndarray:467,normals:469,\"simplicial-complex-contour\":517,\"typedarray-pool\":541}],206:[function(t,e,r){\"use strict\";function n(t,e,r){this.plot=t,this.vbo=e,this.shader=r}function i(t){var e=t.gl;return new n(t,a(e,[0,0,0,1,1,0,1,1]),o(e,s.boxVert,s.lineFrag))}e.exports=i;var a=t(\"gl-buffer\"),o=t(\"gl-shader\"),s=t(\"./shaders\"),l=n.prototype;l.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},l.drawBox=function(){var t=[0,0],e=[0,0];return function(r,n,i,a,o){var s=this.plot,l=this.shader,u=s.gl;t[0]=r,t[1]=n,e[0]=i,e[1]=a,l.uniforms.lo=t,l.uniforms.hi=e,l.uniforms.color=o,u.drawArrays(u.TRIANGLE_STRIP,0,4)}}(),l.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":209,\"gl-buffer\":156,\"gl-shader\":212}],207:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function i(t,e){return t-e}function a(t){var e=t.gl;return new n(t,o(e),s(e,u.gridVert,u.gridFrag),s(e,u.tickVert,u.gridFrag))}e.exports=a;var o=t(\"gl-buffer\"),s=t(\"gl-shader\"),l=t(\"binary-search-bounds\"),u=t(\"./shaders\"),c=n.prototype;c.draw=function(){var t=[0,0],e=[0,0],r=[0,0];return function(){for(var n=this.plot,i=this.vbo,a=this.shader,o=this.ticks,s=n.gl,l=n._tickBounds,u=n.dataBox,c=n.viewBox,h=n.gridLineWidth,f=n.gridLineColor,d=n.gridLineEnable,p=n.pixelRatio,m=0;m<2;++m){var v=l[m],g=l[m+2],y=g-v,b=.5*(u[m+2]+u[m]),x=u[m+2]-u[m];e[m]=2*y/x,t[m]=2*(v-b)/x}a.bind(),i.bind(),a.attributes.dataCoord.pointer(),a.uniforms.dataShift=t,a.uniforms.dataScale=e;for(var _=0,m=0;m<2;++m){r[0]=r[1]=0,r[m]=1,a.uniforms.dataAxis=r,a.uniforms.lineWidth=h[m]/(c[m+2]-c[m])*p,a.uniforms.color=f[m];var w=6*o[m].length;d[m]&&w&&s.drawArrays(s.TRIANGLES,_,w),_+=w}}}(),c.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],a=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,h=this.ticks,f=s.gl,d=s._tickBounds,p=s.dataBox,m=s.viewBox,v=s.pixelRatio,g=s.screenBox,y=g[2]-g[0],b=g[3]-g[1],x=m[2]-m[0],_=m[3]-m[1],w=0;w<2;++w){var M=d[w],k=d[w+2],A=k-M,T=.5*(p[w+2]+p[w]),S=p[w+2]-p[w];e[w]=2*A/S,t[w]=2*(M-T)/S}e[0]*=x/y,t[0]*=x/y,e[1]*=_/b,t[1]*=_/b,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var E=c.uniforms;E.dataShift=t,E.dataScale=e;var L=s.tickMarkLength,C=s.tickMarkWidth,I=s.tickMarkColor,z=6*h[0].length,D=Math.min(l.ge(h[0],(p[0]-d[0])/(d[2]-d[0]),i),h[0].length),P=Math.min(l.gt(h[0],(p[2]-d[0])/(d[2]-d[0]),i),h[0].length),O=0+6*D,R=6*Math.max(0,P-D),F=Math.min(l.ge(h[1],(p[1]-d[1])/(d[3]-d[1]),i),h[1].length),j=Math.min(l.gt(h[1],(p[3]-d[1])/(d[3]-d[1]),i),h[1].length),N=z+6*F,B=6*Math.max(0,j-F);a[0]=2*(m[0]-L[1])/y-1,a[1]=(m[3]+m[1])/b-1,o[0]=L[1]*v/y,o[1]=C[1]*v/b,B&&(E.color=I[1],E.tickScale=o,E.dataAxis=n,E.screenOffset=a,f.drawArrays(f.TRIANGLES,N,B)),a[0]=(m[2]+m[0])/y-1,a[1]=2*(m[1]-L[0])/b-1,o[0]=C[0]*v/y,o[1]=L[0]*v/b,R&&(E.color=I[0],E.tickScale=o,E.dataAxis=r,E.screenOffset=a,f.drawArrays(f.TRIANGLES,O,R)),a[0]=2*(m[2]+L[3])/y-1,a[1]=(m[3]+m[1])/b-1,o[0]=L[3]*v/y,o[1]=C[3]*v/b,B&&(E.color=I[3],E.tickScale=o,E.dataAxis=n,E.screenOffset=a,f.drawArrays(f.TRIANGLES,N,B)),a[0]=(m[2]+m[0])/y-1,a[1]=2*(m[3]+L[2])/b-1,o[0]=C[2]*v/y,o[1]=L[2]*v/b,R&&(E.color=I[2],E.tickScale=o,E.dataAxis=r,E.screenOffset=a,f.drawArrays(f.TRIANGLES,O,R))}}(),c.update=function(){var t=[1,1,-1,-1,1,-1],e=[1,-1,1,1,-1,-1];return function(r){for(var n=r.ticks,i=r.bounds,a=new Float32Array(18*(n[0].length+n[1].length)),o=(this.plot.zeroLineEnable,0),s=[[],[]],l=0;l<2;++l)for(var u=s[l],c=n[l],h=i[l],f=i[l+2],d=0;d<c.length;++d){var p=(c[d].x-h)/(f-h);u.push(p);for(var m=0;m<6;++m)a[o++]=p,a[o++]=t[m],a[o++]=e[m]}this.ticks=s,this.vbo.update(a)}}(),c.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":209,\"binary-search-bounds\":211,\"gl-buffer\":156,\"gl-shader\":212}],208:[function(t,e,r){\"use strict\";function n(t,e,r){this.plot=t,this.vbo=e,this.shader=r}function i(t){var e=t.gl;return new n(t,a(e,[-1,-1,-1,1,1,-1,1,1]),o(e,s.lineVert,s.lineFrag))}e.exports=i;var a=t(\"gl-buffer\"),o=t(\"gl-shader\"),s=t(\"./shaders\"),l=n.prototype;l.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},l.drawLine=function(){var t=[0,0],e=[0,0];return function(r,n,i,a,o,s){var l=this.plot,u=this.shader,c=l.gl;t[0]=r,t[1]=n,e[0]=i,e[1]=a,u.uniforms.start=t,u.uniforms.end=e,u.uniforms.width=o*l.pixelRatio,u.uniforms.color=s,c.drawArrays(c.TRIANGLE_STRIP,0,4)}}(),l.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":209,\"gl-buffer\":156,\"gl-shader\":212}],209:[function(t,e,r){\"use strict\";var n=\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\";e.exports={lineVert:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\",lineFrag:n,textVert:\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\",textFrag:n,gridVert:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\",gridFrag:n,boxVert:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\",tickVert:\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"}},{}],210:[function(t,e,r){\"use strict\";function n(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}function i(t){var e=t.gl;return new n(t,a(e),o(e,u.textVert,u.textFrag))}e.exports=i;var a=t(\"gl-buffer\"),o=t(\"gl-shader\"),s=t(\"text-cache\"),l=t(\"binary-search-bounds\"),u=t(\"./shaders\"),c=n.prototype;c.drawTicks=function(){var t=[0,0],e=[0,0],r=[0,0];return function(n){var i=this.plot,a=this.shader,o=this.tickX[n],s=this.tickOffset[n],u=i.gl,c=i.viewBox,h=i.dataBox,f=i.screenBox,d=i.pixelRatio,p=i.tickEnable,m=i.tickPad,v=i.tickColor,g=i.tickAngle,y=i.labelEnable,b=i.labelPad,x=i.labelColor,_=i.labelAngle,w=this.labelOffset[n],M=this.labelCount[n],k=l.lt(o,h[n]),A=l.le(o,h[n+2]);t[0]=t[1]=0,t[n]=1,e[n]=(c[2+n]+c[n])/(f[2+n]-f[n])-1;var T=2/f[2+(1^n)]-f[1^n];e[1^n]=T*c[1^n]-1,p[n]&&(e[1^n]-=T*d*m[n],k<A&&s[A]>s[k]&&(a.uniforms.dataAxis=t,a.uniforms.screenOffset=e,a.uniforms.color=v[n],a.uniforms.angle=g[n],u.drawArrays(u.TRIANGLES,s[k],s[A]-s[k]))),y[n]&&M&&(e[1^n]-=T*d*b[n],a.uniforms.dataAxis=r,a.uniforms.screenOffset=e,a.uniforms.color=x[n],a.uniforms.angle=_[n],u.drawArrays(u.TRIANGLES,w,M)),e[1^n]=T*c[2+(1^n)]-1,p[n+2]&&(e[1^n]+=T*d*m[n+2],k<A&&s[A]>s[k]&&(a.uniforms.dataAxis=t,a.uniforms.screenOffset=e,a.uniforms.color=v[n+2],a.uniforms.angle=g[n+2],u.drawArrays(u.TRIANGLES,s[k],s[A]-s[k]))),y[n+2]&&M&&(e[1^n]+=T*d*b[n+2],a.uniforms.dataAxis=r,a.uniforms.screenOffset=e,a.uniforms.color=x[n+2],a.uniforms.angle=_[n+2],u.drawArrays(u.TRIANGLES,w,M))}}(),c.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),c.bind=function(){var t=[0,0],e=[0,0],r=[0,0];return function(){var n=this.plot,i=this.shader,a=n._tickBounds,o=n.dataBox,s=n.screenBox,l=n.viewBox;i.bind();for(var u=0;u<2;++u){var c=a[u],h=a[u+2],f=h-c,d=.5*(o[u+2]+o[u]),p=o[u+2]-o[u],m=l[u],v=l[u+2],g=v-m,y=s[u],b=s[u+2],x=b-y;e[u]=2*f/p*g/x,t[u]=2*(c-d)/p*g/x}r[1]=2*n.pixelRatio/(s[3]-s[1]),r[0]=r[1]*(s[3]-s[1])/(s[2]-s[0]),i.uniforms.dataScale=e,i.uniforms.dataShift=t,i.uniforms.textScale=r,this.vbo.bind(),i.attributes.textCoordinate.pointer()}}(),c.update=function(t){var e,r,n,i,a,o=[],l=t.ticks,u=t.bounds;for(a=0;a<2;++a){var c=[Math.floor(o.length/3)],h=[-1/0],f=l[a];for(e=0;e<f.length;++e){var d=f[e],p=d.x,m=d.text,v=d.font||\"sans-serif\";i=d.fontSize||12;for(var g=1/(u[a+2]-u[a]),y=u[a],b=m.split(\"\\n\"),x=0;x<b.length;x++)for(n=s(v,b[x]).data,r=0;r<n.length;r+=2)o.push(n[r]*i,-n[r+1]*i-x*i*1.2,(p-y)*g);c.push(Math.floor(o.length/3)),h.push(p)}this.tickOffset[a]=c,this.tickX[a]=h}for(a=0;a<2;++a){for(this.labelOffset[a]=Math.floor(o.length/3),n=s(t.labelFont[a],t.labels[a],{textAlign:\"center\"}).data,\n",
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o=t(\"./lib/create-uniforms\"),s=t(\"./lib/create-attributes\"),l=t(\"./lib/reflect\"),u=t(\"./lib/shader-cache\"),c=t(\"./lib/runtime-reflect\"),h=t(\"./lib/GLError\"),f=n.prototype;f.bind=function(){this.program||this._relink();var t,e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},f.dispose=function(){for(var t=this.gl.lastAttribCount,e=0;e<t;e++)this.gl.disableVertexAttribArray(e);this.gl.lastAttribCount=0,this._fref&&this._fref.dispose(),this._vref&&this._vref.dispose(),this.attributes=this.types=this.vertShader=this.fragShader=this.program=this._relink=this._fref=this._vref=null},f.update=function(t,e,r,n){function a(){d.program=u.program(p,d._vref,d._fref,_,w);for(var t=0;t<r.length;++t)E[t]=p.getUniformLocation(d.program,r[t].name)}if(!e||1===arguments.length){var f=t;t=f.vertex,e=f.fragment,r=f.uniforms,n=f.attributes}var d=this,p=d.gl,m=d._vref;d._vref=u.shader(p,p.VERTEX_SHADER,t),m&&m.dispose(),d.vertShader=d._vref.shader;var v=this._fref;if(d._fref=u.shader(p,p.FRAGMENT_SHADER,e),v&&v.dispose(),d.fragShader=d._fref.shader,!r||!n){var g=p.createProgram();if(p.attachShader(g,d.fragShader),p.attachShader(g,d.vertShader),p.linkProgram(g),!p.getProgramParameter(g,p.LINK_STATUS)){var y=p.getProgramInfoLog(g);throw new h(y,\"Error linking program:\"+y)}r=r||c.uniforms(p,g),n=n||c.attributes(p,g),p.deleteProgram(g)}n=n.slice(),n.sort(i);var b,x=[],_=[],w=[];for(b=0;b<n.length;++b){var M=n[b];if(M.type.indexOf(\"mat\")>=0){for(var k=0|M.type.charAt(M.type.length-1),A=new Array(k),T=0;T<k;++T)A[T]=w.length,_.push(M.name+\"[\"+T+\"]\"),\"number\"==typeof M.location?w.push(M.location+T):Array.isArray(M.location)&&M.location.length===k&&\"number\"==typeof M.location[T]?w.push(0|M.location[T]):w.push(-1);x.push({name:M.name,type:M.type,locations:A})}else x.push({name:M.name,type:M.type,locations:[w.length]}),_.push(M.name),\"number\"==typeof M.location?w.push(0|M.location):w.push(-1)}var S=0;for(b=0;b<w.length;++b)if(w[b]<0){for(;w.indexOf(S)>=0;)S+=1;w[b]=S}var E=new Array(r.length);a(),d._relink=a,d.types={uniforms:l(r),attributes:l(n)},d.attributes=s(p,d,x,w),Object.defineProperty(d,\"uniforms\",o(p,d,r,E))},e.exports=a},{\"./lib/GLError\":213,\"./lib/create-attributes\":214,\"./lib/create-uniforms\":215,\"./lib/reflect\":216,\"./lib/runtime-reflect\":217,\"./lib/shader-cache\":218}],213:[function(t,e,r){function n(t,e,r){this.shortMessage=e||\"\",this.longMessage=r||\"\",this.rawError=t||\"\",this.message=\"gl-shader: \"+(e||t||\"\")+(r?\"\\n\"+r:\"\"),this.stack=(new Error).stack}n.prototype=new Error,n.prototype.name=\"GLError\",n.prototype.constructor=n,e.exports=n},{}],214:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a){this._gl=t,this._wrapper=e,this._index=r,this._locations=n,this._dimension=i,this._constFunc=a}function i(t,e,r,i,a,o,s){for(var l=[\"gl\",\"v\"],u=[],c=0;c<a;++c)l.push(\"x\"+c),u.push(\"x\"+c);l.push(\"if(x0.length===void 0){return gl.vertexAttrib\"+a+\"f(v,\"+u.join()+\")}else{return gl.vertexAttrib\"+a+\"fv(v,x0)}\");var h=Function.apply(null,l),f=new n(t,e,r,i,a,h);Object.defineProperty(o,s,{set:function(e){return t.disableVertexAttribArray(i[r]),h(t,i[r],e),e},get:function(){return f},enumerable:!0})}function a(t,e,r,n,a,o,s){for(var l=new Array(a),u=new Array(a),c=0;c<a;++c)i(t,e,r[c],n,a,l,c),u[c]=l[c];Object.defineProperty(l,\"location\",{set:function(t){if(Array.isArray(t))for(var e=0;e<a;++e)u[e].location=t[e];else for(var e=0;e<a;++e)u[e].location=t+e;return t},get:function(){for(var t=new Array(a),e=0;e<a;++e)t[e]=n[r[e]];return t},enumerable:!0}),l.pointer=function(e,i,o,s){e=e||t.FLOAT,i=!!i,o=o||a*a,s=s||0;for(var l=0;l<a;++l){var u=n[r[l]];t.vertexAttribPointer(u,a,e,i,o,s+l*a),t.enableVertexAttribArray(u)}};var h=new Array(a),f=t[\"vertexAttrib\"+a+\"fv\"];Object.defineProperty(o,s,{set:function(e){for(var i=0;i<a;++i){var o=n[r[i]];if(t.disableVertexAttribArray(o),Array.isArray(e[0]))f.call(t,o,e[i]);else{for(var s=0;s<a;++s)h[s]=e[a*i+s];f.call(t,o,h)}}return e},get:function(){return l},enumerable:!0})}function o(t,e,r,n){for(var o={},l=0,u=r.length;l<u;++l){var c=r[l],h=c.name,f=c.type,d=c.locations;switch(f){case\"bool\":case\"int\":case\"float\":i(t,e,d[0],n,1,o,h);break;default:if(f.indexOf(\"vec\")>=0){var p=f.charCodeAt(f.length-1)-48;if(p<2||p>4)throw new s(\"\",\"Invalid data type for attribute \"+h+\": \"+f);i(t,e,d[0],n,p,o,h)}else{if(!(f.indexOf(\"mat\")>=0))throw new s(\"\",\"Unknown data type for attribute \"+h+\": \"+f);var p=f.charCodeAt(f.length-1)-48;if(p<2||p>4)throw new s(\"\",\"Invalid data type for attribute \"+h+\": \"+f);a(t,e,d,n,p,o,h)}}}return o}e.exports=o;var 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t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT),t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,d=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var p=0;p<2;++p)if(h[p]&&n[p]<=0&&n[p+2]>=0){var m=e[p]-n[p]*(e[p+2]-e[p])/(n[p+2]-n[p]);0===p?o.drawLine(m,e[1],m,e[3],d[p],f[p]):o.drawLine(e[0],m,e[2],m,d[p],f[p])}}for(var p=0;p<l.length;++p)l[p].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var v=this.borderLineEnable,g=this.borderLineWidth,y=this.borderLineColor;v[1]&&o.drawLine(r[0],r[1]-.5*g[1]*i,r[0],r[3]+.5*g[3]*i,g[1],y[1]),v[0]&&o.drawLine(r[0]-.5*g[0]*i,r[1],r[2]+.5*g[2]*i,r[1],g[0],y[0]),v[3]&&o.drawLine(r[2],r[1]-.5*g[1]*i,r[2],r[3]+.5*g[3]*i,g[3],y[3]),v[2]&&o.drawLine(r[0]-.5*g[0]*i,r[3],r[2]+.5*g[2]*i,r[3],g[2],y[2]),s.bind();for(var p=0;p<2;++p)s.drawTicks(p);this.titleEnable&&s.drawTitle();for(var b=this.overlays,p=0;p<b.length;++p)b[p].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}}}(),f.drawPick=function(){return function(){if(!this.static){var t=this.pickBuffer;this.gl;this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}}}(),f.pick=function(){return function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),u=this.objects,c=0;c<u.length;++c){var h=u[c].pick(a,o,l);if(h)return h}return null}}}(),f.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},f.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},f.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},f.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,o=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/o,10,10/o]),this.borderColor=(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=i(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=i(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=i(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t&&!t.titleEnable),this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=i(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=i(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=i(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var s=t.ticks||[[],[]],l=this._tickBounds;l[0]=l[1]=1/0,l[2]=l[3]=-1/0;for(var u=0;u<2;++u){var c=s[u].slice(0);0!==c.length&&(c.sort(a),l[u]=Math.min(l[u],c[0].x),l[u+2]=Math.max(l[u+2],c[c.length-1].x))}this.grid.update({bounds:l,ticks:s}),this.text.update({bounds:l,ticks:s,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},f.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(var t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},f.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},f.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},f.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},f.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":206,\"./lib/grid\":207,\"./lib/line\":208,\"./lib/text\":210,\"gl-select-static\":254}],220:[function(t,e,r){var n=t(\"gl-shader\");e.exports=function(t){return n(t,\"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}\",\"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}\",null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":255}],221:[function(t,e,r){\"use 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t=O.length,e=j.length,r=0;r<e;++r)F[r]=0;t:for(var r=0;r<t;++r){var n=O[r],i=n.pickSlots;if(i){for(var a=0;a<e;++a)if(F[a]+i<255){R[r]=a,n.setPickBase(F[a]+1),F[a]+=i;continue t}var o=f(A,q);R[r]=e,j.push(o),F.push(i),n.setPickBase(1),e+=1}else R[r]=-1}for(;e>0&&0===F[e-1];)F.pop(),j.pop().dispose()}function s(){if(G.contextLost)return!0;A.isContextLost()&&(G.contextLost=!0,G.mouseListener.enabled=!1,G.selection.object=null,G.oncontextloss&&G.oncontextloss())}function b(){if(!s()){A.colorMask(!0,!0,!0,!0),A.depthMask(!0),A.disable(A.BLEND),A.enable(A.DEPTH_TEST);for(var t=O.length,e=j.length,r=0;r<e;++r){var n=j[r];n.shape=Y,n.begin();for(var i=0;i<t;++i)if(R[i]===r){var a=O[i];a.drawPick&&(a.pixelRatio=1,a.drawPick(H))}n.end()}}}function x(){if(!s()){e();var t=G.camera.tick();H.view=G.camera.matrix,N=N||t,B=B||t,z.pixelRatio=G.pixelRatio,P.pixelRatio=G.pixelRatio;var r=O.length,n=Z[0],i=Z[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<r;++o){var l=O[o];l.pixelRatio=G.pixelRatio,l.axes=G.axes,N=N||!!l.dirty,B=B||!!l.dirty;var u=l.bounds;if(u)for(var h=u[0],f=u[1],d=0;d<3;++d)n[d]=Math.min(n[d],h[d]),i[d]=Math.max(i[d],f[d])}var m=G.bounds;if(G.autoBounds)for(var d=0;d<3;++d){if(i[d]<n[d])n[d]=-1,i[d]=1;else{n[d]===i[d]&&(n[d]-=1,i[d]+=1);var g=.05*(i[d]-n[d]);n[d]=n[d]-g,i[d]=i[d]+g}m[0][d]=n[d],m[1][d]=i[d]}for(var y=!1,d=0;d<3;++d)y=y||J[0][d]!==m[0][d]||J[1][d]!==m[1][d],J[0][d]=m[0][d],J[1][d]=m[1][d];if(B=B||y,N=N||y){if(y){for(var x=[0,0,0],o=0;o<3;++o)x[o]=a((m[1][o]-m[0][o])/10);z.autoTicks?z.update({bounds:m,tickSpacing:x}):z.update({bounds:m})}var _=A.drawingBufferWidth,w=A.drawingBufferHeight;q[0]=_,q[1]=w,Y[0]=0|Math.max(_/G.pixelRatio,1),Y[1]=0|Math.max(w/G.pixelRatio,1),v(U,G.fovy,_/w,G.zNear,G.zFar);for(var o=0;o<16;++o)V[o]=0;V[15]=1;for(var M=0,o=0;o<3;++o)M=Math.max(M,m[1][o]-m[0][o]);for(var o=0;o<3;++o)G.autoScale?V[5*o]=G.aspect[o]/(m[1][o]-m[0][o]):V[5*o]=1/M,G.autoCenter&&(V[12+o]=.5*-V[5*o]*(m[0][o]+m[1][o]));for(var o=0;o<r;++o){var l=O[o];l.axesBounds=m,G.clipToBounds&&(l.clipBounds=m)}S.object&&(G.snapToData?P.position=S.dataCoordinate:P.position=S.dataPosition,P.bounds=m),B&&(B=!1,b()),G.axesPixels=c(G.axes,H,_,w),G.onrender&&G.onrender(),A.bindFramebuffer(A.FRAMEBUFFER,null),A.viewport(0,0,_,w);var k=G.clearColor;A.clearColor(k[0],k[1],k[2],k[3]),A.clear(A.COLOR_BUFFER_BIT|A.DEPTH_BUFFER_BIT),A.depthMask(!0),A.colorMask(!0,!0,!0,!0),A.enable(A.DEPTH_TEST),A.depthFunc(A.LEQUAL),A.disable(A.BLEND),A.disable(A.CULL_FACE);var T=!1;z.enable&&(T=T||z.isTransparent(),z.draw(H)),P.axes=z,S.object&&P.draw(H),A.disable(A.CULL_FACE);for(var o=0;o<r;++o){var l=O[o];l.axes=z,l.pixelRatio=G.pixelRatio,l.isOpaque&&l.isOpaque()&&l.draw(H),l.isTransparent&&l.isTransparent()&&(T=!0)}if(T){E.shape=q,E.bind(),A.clear(A.DEPTH_BUFFER_BIT),A.colorMask(!1,!1,!1,!1),A.depthMask(!0),A.depthFunc(A.LESS),z.enable&&z.isTransparent()&&z.drawTransparent(H);for(var o=0;o<r;++o){var l=O[o];l.isOpaque&&l.isOpaque()&&l.draw(H)}A.enable(A.BLEND),A.blendEquation(A.FUNC_ADD),A.blendFunc(A.ONE,A.ONE_MINUS_SRC_ALPHA),A.colorMask(!0,!0,!0,!0),A.depthMask(!1),A.clearColor(0,0,0,0),A.clear(A.COLOR_BUFFER_BIT),z.isTransparent()&&z.drawTransparent(H);for(var o=0;o<r;++o){var l=O[o];l.isTransparent&&l.isTransparent()&&l.drawTransparent(H)}A.bindFramebuffer(A.FRAMEBUFFER,null),A.blendFunc(A.ONE,A.ONE_MINUS_SRC_ALPHA),A.disable(A.DEPTH_TEST),L.bind(),E.color[0].bind(0),L.uniforms.accumBuffer=0,p(A),A.disable(A.BLEND)}N=!1;for(var o=0;o<r;++o)O[o].dirty=!1}}}function _(){w||G.contextLost||(requestAnimationFrame(_),x())}t=t||{};var w=!1,M=(t.pixelRatio||parseFloat(window.devicePixelRatio),t.canvas);if(!M)if(M=document.createElement(\"canvas\"),t.container){var k=t.container;k.appendChild(M)}else document.body.appendChild(M);var A=t.gl;if(A||(A=i(M,t.glOptions||{premultipliedAlpha:!0,antialias:!0})),!A)throw new Error(\"webgl not supported\");var T=t.bounds||[[-10,-10,-10],[10,10,10]],S=new n,E=d(A,[A.drawingBufferWidth,A.drawingBufferHeight],{preferFloat:!y}),L=g(A),C=t.camera||{eye:[2,0,0],center:[0,0,0],up:[0,1,0],zoomMin:.1,zoomMax:100,mode:\"turntable\"},I=t.axes||{},z=u(A,I);z.enable=!I.disable;var D=t.spikes||{},P=h(A,D),O=[],R=[],F=[],j=[],N=!0,B=!0,U=new Array(16),V=new Array(16),H={view:null,projection:U,model:V},B=!0,q=[A.drawingBufferWidth,A.drawingBufferHeight],G={gl:A,contextLost:!1,pixelRatio:t.pixelRatio||parseFloat(window.devicePixelRatio),canvas:M,selection:S,camera:l(M,C),axes:z,axesPixels:null,spikes:P,bounds:T,objects:O,shape:q,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:o(t.autoResize),autoBounds:o(t.autoBounds),autoScale:!!t.autoScale,autoCenter:o(t.autoCenter),clipToBounds:o(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:H,oncontextloss:null,mouseListener:null},Y=[A.drawingBufferWidth/G.pixelRatio|0,A.drawingBufferHeight/G.pixelRatio|0];G.autoResize&&e(),window.addEventListener(\"resize\",e),G.update=function(t){w||(t=t||{},N=!0,B=!0)},G.add=function(t){w||(t.axes=z,O.push(t),R.push(-1),N=!0,B=!0,r())},G.remove=function(t){if(!w){var e=O.indexOf(t);e<0||(O.splice(e,1),R.pop(),N=!0,B=!0,r())}},G.dispose=function(){if(!w&&(w=!0,window.removeEventListener(\"resize\",e),M.removeEventListener(\"webglcontextlost\",s),G.mouseListener.enabled=!1,!G.contextLost)){z.dispose(),P.dispose();for(var t=0;t<O.length;++t)O[t].dispose();E.dispose();for(var t=0;t<j.length;++t)j[t].dispose();L.dispose(),A=null,z=null,P=null,O=[]}};var W=!1,X=0;G.mouseListener=m(M,function(t,e,r){if(!w){var n=j.length,i=O.length,a=S.object;S.distance=1/0,S.mouse[0]=e,S.mouse[1]=r,S.object=null,S.screen=null,S.dataCoordinate=S.dataPosition=null;var o=!1;if(t&&X)W=!0;else{W&&(B=!0),W=!1;for(var s=0;s<n;++s){var l=j[s].query(e,Y[1]-r-1,G.pickRadius);if(l){if(l.distance>S.distance)continue;for(var u=0;u<i;++u){var c=O[u];if(R[u]===s){var h=c.pick(l);h&&(S.buttons=t,S.screen=l.coord,S.distance=l.distance,S.object=c,S.index=h.distance,S.dataPosition=h.position,S.dataCoordinate=h.dataCoordinate,S.data=h,o=!0)}}}}}a&&a!==S.object&&(a.highlight&&a.highlight(null),N=!0),S.object&&(S.object.highlight&&S.object.highlight(S.data),N=!0),o=o||S.object!==a,o&&G.onselect&&G.onselect(S),1&t&&!(1&X)&&G.onclick&&G.onclick(S),X=t}}),M.addEventListener(\"webglcontextlost\",s);var Z=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],J=[Z[0].slice(),Z[1].slice()];return _(),G.redraw=function(){w||(N=!0,x())},G}e.exports=s;var l=t(\"3d-view-controls\"),u=t(\"gl-axes3d\"),c=t(\"gl-axes3d/properties\"),h=t(\"gl-spikes3d\"),f=t(\"gl-select-static\"),d=t(\"gl-fbo\"),p=t(\"a-big-triangle\"),m=t(\"mouse-change\"),v=t(\"gl-mat4/perspective\"),g=t(\"./lib/shader\"),y=t(\"is-mobile\")()},{\"./lib/shader\":220,\"3d-view-controls\":36,\"a-big-triangle\":39,\"gl-axes3d\":148,\"gl-axes3d/properties\":155,\"gl-fbo\":164,\"gl-mat4/perspective\":184,\"gl-select-static\":254,\"gl-spikes3d\":264,\"is-mobile\":296,\"mouse-change\":452}],222:[function(t,e,r){r.pointVertex=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\",r.pointFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\",r.pickVertex=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\",r.pickFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"},{}],223:[function(t,e,r){arguments[4][212][0].apply(r,arguments)},{\"./lib/GLError\":224,\"./lib/create-attributes\":225,\"./lib/create-uniforms\":226,\"./lib/reflect\":227,\"./lib/runtime-reflect\":228,\"./lib/shader-cache\":229,dup:212}],224:[function(t,e,r){arguments[4][213][0].apply(r,arguments)},{dup:213}],225:[function(t,e,r){arguments[4][214][0].apply(r,arguments)},{\n",
       "\"./GLError\":224,dup:214}],226:[function(t,e,r){arguments[4][215][0].apply(r,arguments)},{\"./GLError\":224,\"./reflect\":227,dup:215}],227:[function(t,e,r){arguments[4][216][0].apply(r,arguments)},{dup:216}],228:[function(t,e,r){arguments[4][217][0].apply(r,arguments)},{dup:217}],229:[function(t,e,r){arguments[4][218][0].apply(r,arguments)},{\"./GLError\":224,dup:218,\"gl-format-compiler-error\":165,\"weakmap-shim\":562}],230:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}function i(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}function a(t,e){var r=t.gl,i=s(r),a=s(r),l=o(r,u.pointVertex,u.pointFragment),c=o(r,u.pickVertex,u.pickFragment),h=new n(t,i,a,l,c);return h.update(e),t.addObject(h),h}var o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"typedarray-pool\"),u=t(\"./lib/shader\");e.exports=a;var c=n.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){function e(e,r){return e in t?t[e]:r}var r;t=t||{},this.sizeMin=e(\"sizeMin\",.5),this.sizeMax=e(\"sizeMax\",20),this.color=e(\"color\",[1,0,0,1]).slice(),this.areaRatio=e(\"areaRatio\",1),this.borderColor=e(\"borderColor\",[0,0,0,1]).slice(),this.blend=e(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,a=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,o=t.positions,s=i?o:l.mallocFloat32(o.length),u=a?t.idToIndex:l.mallocInt32(n);if(i||s.set(o),!a)for(s.set(o),r=0;r<n;r++)u[r]=r;this.points=o,this.offsetBuffer.update(s),this.pickBuffer.update(u),i||l.free(s),a||l.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=void 0!==r,a=n?this.pickShader:this.shader,o=this.plot.gl,s=this.plot.dataBox;if(0===this.pointCount)return r;var l=s[2]-s[0],u=s[3]-s[1],c=i(this.points,s),h=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(c,.33333)));t[0]=2/l,t[4]=2/u,t[6]=-2*s[0]/l-1,t[7]=-2*s[1]/u-1,this.offsetBuffer.bind(),a.bind(),a.attributes.position.pointer(),a.uniforms.matrix=t,a.uniforms.color=this.color,a.uniforms.borderColor=this.borderColor,a.uniforms.pointCloud=h<5,a.uniforms.pointSize=h,a.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),n&&(e[0]=255&r,e[1]=r>>8&255,e[2]=r>>16&255,e[3]=r>>24&255,this.pickBuffer.bind(),a.attributes.pickId.pointer(o.UNSIGNED_BYTE),a.uniforms.pickOffset=e,this.pickOffset=r);var f=o.getParameter(o.BLEND),d=o.getParameter(o.DITHER);return f&&!this.blend&&o.disable(o.BLEND),d&&o.disable(o.DITHER),o.drawArrays(o.POINTS,0,this.pointCount),f&&!this.blend&&o.enable(o.BLEND),d&&o.enable(o.DITHER),r+this.pointCount}}(),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":222,\"gl-buffer\":156,\"gl-shader\":223,\"typedarray-pool\":541}],231:[function(t,e,r){function n(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],h=e[2],f=e[3],d=r[0],p=r[1],m=r[2],v=r[3];return a=u*d+c*p+h*m+f*v,a<0&&(a=-a,d=-d,p=-p,m=-m,v=-v),1-a>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),t[0]=s*u+l*d,t[1]=s*c+l*p,t[2]=s*h+l*m,t[3]=s*f+l*v,t}e.exports=n},{}],232:[function(t,e,r){\"use strict\";e.exports={vertex:\"precision highp float;\\n#define GLSLIFY 1\\n\\n\\nvec4 computePosition_1_0(vec2 posHi, vec2 posLo, vec2 scHi, vec2 scLo, vec2 trHi, vec2 trLo) {\\n  return vec4((posHi + trHi) * scHi\\n  \\t\\t\\t//FIXME: this thingy does not give noticeable precision gain, need test\\n            + (posLo + trLo) * scHi\\n            + (posHi + trHi) * scLo\\n            + (posLo + trLo) * scLo\\n            , 0, 1);\\n}\\n\\n\\nattribute vec2 positionHi, positionLo;\\nattribute float size, border;\\nattribute vec2 char, color;\\n\\n//this is 64-bit form of scale and translate\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform float pixelRatio;\\nuniform vec4 viewBox;\\nuniform sampler2D palette;\\n\\nvarying vec4 charColor, borderColor;\\nvarying vec2 charId;\\nvarying vec2 pointCoord;\\nvarying float pointSize;\\nvarying float borderWidth;\\n\\n\\nvoid main() {\\n  charColor = texture2D(palette, vec2(color.x / 255., 0));\\n  borderColor = texture2D(palette, vec2(color.y / 255., 0));\\n\\n  gl_PointSize = size * pixelRatio;\\n  pointSize = size * pixelRatio;\\n\\n  charId = char;\\n  borderWidth = border;\\n\\n  gl_Position = computePosition_1_0(\\n    positionHi, positionLo,\\n    scaleHi, scaleLo,\\n    translateHi, translateLo);\\n\\n  pointCoord = viewBox.xy + (viewBox.zw - viewBox.xy) * (gl_Position.xy * .5 + .5);\\n}\\n\",fragment:\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D chars;\\nuniform vec2 charsShape;\\nuniform float charsStep, pixelRatio, charOffset;\\n\\nvarying vec4 borderColor;\\nvarying vec4 charColor;\\nvarying vec2 charId;\\nvarying vec2 pointCoord;\\nvarying float pointSize;\\nvarying float borderWidth;\\n\\nvoid main() {\\n\\tvec2 pointUV = (pointCoord - gl_FragCoord.xy + pointSize * .5) / pointSize;\\n\\tpointUV.x = 1. - pointUV.x;\\n\\tvec2 texCoord = ((charId + pointUV) * charsStep) / charsShape;\\n\\tfloat dist = texture2D(chars, texCoord).r;\\n\\n\\t//max-distance alpha\\n\\tif (dist < 1e-2)\\n\\t\\tdiscard;\\n\\n\\tfloat gamma = .0045 * charsStep / pointSize;\\n\\n    //null-border case\\n \\tif (borderWidth * borderColor.a == 0.) {\\n\\t\\tfloat charAmt = smoothstep(.748 - gamma, .748 + gamma, dist);\\n\\t\\tgl_FragColor = vec4(charColor.rgb, charAmt*charColor.a);\\n\\t\\treturn;\\n\\t}\\n\\n\\tfloat dif = 5. * pixelRatio * borderWidth / pointSize;\\n\\tfloat borderLevel = .748 - dif * .5;\\n\\tfloat charLevel = .748 + dif * .5;\\n\\n\\tfloat borderAmt = smoothstep(borderLevel - gamma, borderLevel + gamma, dist);\\n\\tfloat charAmt = smoothstep(charLevel - gamma, charLevel + gamma, dist);\\n\\n\\tvec4 color = borderColor;\\n\\tcolor.a *= borderAmt;\\n\\n\\tgl_FragColor = mix(color, charColor, charAmt);\\n}\\n\",pickVertex:\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 positionHi, positionLo;\\nattribute vec4 id;\\nattribute float size;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform vec4 pickOffset;\\nuniform float pixelRatio;\\n\\nvarying vec4 fragColor;\\n\\n\\nvec4 computePosition_1_0(vec2 posHi, vec2 posLo, vec2 scHi, vec2 scLo, vec2 trHi, vec2 trLo) {\\n  return vec4((posHi + trHi) * scHi\\n  \\t\\t\\t//FIXME: this thingy does not give noticeable precision gain, need test\\n            + (posLo + trLo) * scHi\\n            + (posHi + trHi) * scLo\\n            + (posLo + trLo) * scLo\\n            , 0, 1);\\n}\\n\\n\\nvoid main() {\\n  vec4 fragId = id + pickOffset;\\n\\n  fragId.y += floor(fragId.x / 256.0);\\n  fragId.x -= floor(fragId.x / 256.0) * 256.0;\\n\\n  fragId.z += floor(fragId.y / 256.0);\\n  fragId.y -= floor(fragId.y / 256.0) * 256.0;\\n\\n  fragId.w += floor(fragId.z / 256.0);\\n  fragId.z -= floor(fragId.z / 256.0) * 256.0;\\n\\n  fragColor = fragId / 255.0;\\n\\n  gl_PointSize = size * .25 * pixelRatio;\\n\\n  gl_Position = computePosition_1_0(\\n    positionHi, positionLo,\\n    scaleHi, scaleLo,\\n    translateHi, translateLo);\\n}\\n\",pickFragment:\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = fragColor;\\n}\\n\"}},{}],233:[function(t,e,r){arguments[4][84][0].apply(r,arguments)},{dup:84}],234:[function(t,e,r){arguments[4][212][0].apply(r,arguments)},{\"./lib/GLError\":235,\"./lib/create-attributes\":236,\"./lib/create-uniforms\":237,\"./lib/reflect\":238,\"./lib/runtime-reflect\":239,\"./lib/shader-cache\":240,dup:212}],235:[function(t,e,r){arguments[4][213][0].apply(r,arguments)},{dup:213}],236:[function(t,e,r){arguments[4][214][0].apply(r,arguments)},{\"./GLError\":235,dup:214}],237:[function(t,e,r){arguments[4][215][0].apply(r,arguments)},{\"./GLError\":235,\"./reflect\":238,dup:215}],238:[function(t,e,r){arguments[4][216][0].apply(r,arguments)},{dup:216}],239:[function(t,e,r){arguments[4][217][0].apply(r,arguments)},{dup:217}],240:[function(t,e,r){arguments[4][218][0].apply(r,arguments)},{\"./GLError\":235,dup:218,\"gl-format-compiler-error\":165,\"weakmap-shim\":562}],241:[function(t,e,r){\"use strict\";function n(t,e,r,n,a){a<=4*f?i(0,a-1,t,e,r,n):h(0,a-1,t,e,r,n)}function i(t,e,r,n,i,a){for(var o=t+1;o<=e;++o){for(var s=r[o],l=n[2*o],u=n[2*o+1],c=i[o],h=a[o],f=o;f>t;){var d=r[f-1],p=n[2*(f-1)];if((d-s||l-p)>=0)break;r[f]=d,n[2*f]=p,n[2*f+1]=n[2*f-1],i[f]=i[f-1],a[f]=a[f-1],f-=1}r[f]=s,n[2*f]=l,n[2*f+1]=u,i[f]=c,a[f]=h}}function a(t,e,r,n,i,a){var o=r[t],s=n[2*t],l=n[2*t+1],u=i[t],c=a[t];r[t]=r[e],n[2*t]=n[2*e],n[2*t+1]=n[2*e+1],i[t]=i[e],a[t]=a[e],r[e]=o,n[2*e]=s,n[2*e+1]=l,i[e]=u,a[e]=c}function o(t,e,r,n,i,a){r[t]=r[e],n[2*t]=n[2*e],n[2*t+1]=n[2*e+1],i[t]=i[e],a[t]=a[e]}function s(t,e,r,n,i,a,o){var s=n[t],l=i[2*t],u=i[2*t+1],c=a[t],h=o[t];n[t]=n[e],i[2*t]=i[2*e],i[2*t+1]=i[2*e+1],a[t]=a[e],o[t]=o[e],n[e]=n[r],i[2*e]=i[2*r],i[2*e+1]=i[2*r+1],a[e]=a[r],o[e]=o[r],n[r]=s,i[2*r]=l,i[2*r+1]=u,a[r]=c,o[r]=h}function l(t,e,r,n,i,a,o,s,l,u,c){s[t]=s[e],l[2*t]=l[2*e],l[2*t+1]=l[2*e+1],u[t]=u[e],c[t]=c[e],s[e]=r,l[2*e]=n,l[2*e+1]=i,u[e]=a,c[e]=o}function u(t,e,r,n,i){return(r[t]-r[e]||n[2*e]-n[2*t]||i[t]-i[e])<0}function c(t,e,r,n,i,a,o,s){return(e-a[t]||o[2*t]-r||i-s[t])<0}function h(t,e,r,n,d,p){var m=(e-t+1)/6|0,v=t+m,g=e-m,y=t+e>>1,b=y-m,x=y+m,_=v,w=b,M=y,k=x,A=g,T=t+1,S=e-1,E=0;u(_,w,r,n,d,p)&&(E=_,_=w,w=E),u(k,A,r,n,d,p)&&(E=k,k=A,A=E),u(_,M,r,n,d,p)&&(E=_,_=M,M=E),u(w,M,r,n,d,p)&&(E=w,w=M,M=E),u(_,k,r,n,d,p)&&(E=_,_=k,k=E),u(M,k,r,n,d,p)&&(E=M,M=k,k=E),u(w,A,r,n,d,p)&&(E=w,w=A,A=E),u(w,M,r,n,d,p)&&(E=w,w=M,M=E),u(k,A,r,n,d,p)&&(E=k,k=A,A=E);var L=r[w],C=n[2*w],I=n[2*w+1],z=d[w],D=p[w],P=r[k],O=n[2*k],R=n[2*k+1],F=d[k],j=p[k],N=_,B=M,U=A,V=v,H=y,q=g,G=r[N],Y=r[B],W=r[U];r[V]=G,r[H]=Y,r[q]=W;for(var X=0;X<2;++X){var Z=n[2*N+X],J=n[2*B+X],K=n[2*U+X];n[2*V+X]=Z,n[2*H+X]=J,n[2*q+X]=K}var Q=d[N],$=d[B],tt=d[U];d[V]=Q,d[H]=$,d[q]=tt;var et=p[N],rt=p[B],nt=p[U];p[V]=et,p[H]=rt,p[q]=nt,o(b,t,r,n,d,p),o(x,e,r,n,d,p);for(var it=T;it<=S;++it)if(c(it,L,C,I,z,r,n,d))it!==T&&a(it,T,r,n,d,p),++T;else if(!c(it,P,O,R,F,r,n,d))for(;;){if(c(S,P,O,R,F,r,n,d)){c(S,L,C,I,z,r,n,d)?(s(it,T,S,r,n,d,p),++T,--S):(a(it,S,r,n,d,p),--S);break}if(--S<it)break}l(t,T-1,L,C,I,z,D,r,n,d,p),l(e,S+1,P,O,R,F,j,r,n,d,p),T-2-t<=f?i(t,T-2,r,n,d,p):h(t,T-2,r,n,d,p),e-(S+2)<=f?i(S+2,e,r,n,d,p):h(S+2,e,r,n,d,p),S-T<=f?i(T,S,r,n,d,p):h(T,S,r,n,d,p)}e.exports=n;var f=32},{}],242:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s){for(var l=r,u=r;u<n;++u){var c=t[2*u],h=t[2*u+1],f=e[u];i<=c&&c<=o&&a<=h&&h<=s&&(u===l?l+=1:(t[2*u]=t[2*l],t[2*u+1]=t[2*l+1],e[u]=e[l],t[2*l]=c,t[2*l+1]=h,e[l]=f,l+=1))}return l}function i(t,e,r){this.pixelSize=t,this.offset=e,this.count=r}function a(t,e,r,a){function l(i,a,o,s,u,c){var h=.5*o,f=s+1,d=u-s;r[_]=d,x[_++]=c;for(var p=0;p<2;++p)for(var m=0;m<2;++m){var v=i+p*h,g=a+m*h,y=n(t,e,f,u,v,g,v+h,g+h);if(y!==f){if(y-f>=Math.max(.9*d,32)){var b=u+s>>>1;l(v,g,h,f,b,c+1),f=b}l(v,g,h,f,y,c+1),f=y}}}var u=t.length>>>1;if(u<1)return[];for(var c=1/0,h=1/0,f=-1/0,d=-1/0,p=0;p<u;++p){var m=t[2*p],v=t[2*p+1];c=Math.min(c,m),f=Math.max(f,m),h=Math.min(h,v),d=Math.max(d,v),e[p]=p}c===f&&(f+=1+Math.abs(f)),h===d&&(d+=1+Math.abs(f));var g=1/(f-c),y=1/(d-h),b=Math.max(f-c,d-h);a=a||[0,0,0,0],a[0]=c,a[1]=h,a[2]=f,a[3]=d;var x=o.mallocInt32(u),_=0;l(c,h,b,0,u,0),s(x,t,e,r,u);for(var w=[],M=0,k=u,_=u-1;_>=0;--_){t[2*_]=(t[2*_]-c)*g,t[2*_+1]=(t[2*_+1]-h)*y;var A=x[_];A!==M&&(w.push(new i(b*Math.pow(.5,A),_+1,k-(_+1))),k=_+1,M=A)}return w.push(new i(b*Math.pow(.5,A+1),0,k)),o.free(x),w}var o=t(\"typedarray-pool\"),s=t(\"./lib/sort\");e.exports=a},{\"./lib/sort\":241,\"typedarray-pool\":541}],243:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.sizeBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.charBuffer=s,this.pointCount=0,this.pickOffset=0,this.points=null,this.scales=[],this.xCoords=[],this.charCanvas=document.createElement(\"canvas\"),this.charTexture=m(this.plot.gl,this.charCanvas),this.charStep=400,this.charFit=.255,this.snapThreshold=1e4,this.paletteTexture=m(this.plot.gl,[256,1])}function i(){var t=this.plot,e=t.viewBox,r=t.dataBox,n=t.pixelRatio,i=r[2]-r[0],a=r[3]-r[1],u=2/i,c=2/a,h=-r[0]-.5*i,f=-r[1]-.5*a;_[0]=u,w[0]=u-_[0],_[1]=c,w[1]=c-_[1],M[0]=h,k[0]=h-M[0],M[1]=f,k[1]=f-M[1];var d=e[2]-e[0],p=e[3]-e[1];o=Math.min(i/d,a/p),A[0]=2*n/d,A[1]=2*n/p,s=r[0],l=r[2]}function a(t,e){var r=t.gl,i=u(r,f.vertex,f.fragment),a=u(r,f.pickVertex,f.pickFragment),o=c(r),s=c(r),l=c(r),h=c(r),d=c(r),p=new n(t,i,a,o,s,l,h,d);return p.update(e),t.addObject(p),p}e.exports=a;var o,s,l,u=t(\"gl-shader\"),c=t(\"gl-buffer\"),h=t(\"typedarray-pool\"),f=t(\"./lib/shaders\"),d=t(\"snap-points-2d\"),p=t(\"font-atlas-sdf\"),m=t(\"gl-texture2d\"),v=t(\"color-id\"),g=t(\"ndarray\"),y=t(\"clamp\"),b=t(\"binary-search-bounds\"),x=n.prototype,_=new Float32Array([0,0]),w=new Float32Array([0,0]),M=new Float32Array([0,0]),k=new Float32Array([0,0]),A=[0,0],T=[0,0,0,0];x.drawPick=function(t){var e=void 0!==t,r=this.plot,n=this.pointCount,a=n>this.snapThreshold;if(!n)return t;i.call(this);var u=r.gl,c=e?this.pickShader:this.shader,h=u.isEnabled(u.BLEND);if(c.bind(),e){this.pickOffset=t;for(var f=0;f<4;++f)T[f]=t>>8*f&255;c.uniforms.pickOffset=T,this.idBuffer.bind(),c.attributes.id.pointer(u.UNSIGNED_BYTE,!1)}else u.blendFuncSeparate(u.SRC_ALPHA,u.ONE_MINUS_SRC_ALPHA,u.ONE,u.ONE_MINUS_SRC_ALPHA),u.blendColor(0,0,0,1),h||u.enable(u.BLEND),this.colorBuffer.bind(),c.attributes.color.pointer(u.UNSIGNED_BYTE,!1),this.charBuffer.bind(),c.attributes.char.pointer(u.UNSIGNED_BYTE,!1),c.uniforms.chars=this.charTexture.bind(0),c.uniforms.charsShape=[this.charCanvas.width,this.charCanvas.height],c.uniforms.charsStep=this.charStep,c.uniforms.palette=this.paletteTexture.bind(1);this.sizeBuffer.bind(),c.attributes.size.pointer(u.FLOAT,!1,8,0),e||c.attributes.border.pointer(u.FLOAT,!1,8,4),this.positionBuffer.bind(),c.attributes.positionHi.pointer(u.FLOAT,!1,16,0),c.attributes.positionLo.pointer(u.FLOAT,!1,16,8),c.uniforms.pixelRatio=r.pixelRatio,c.uniforms.scaleHi=_,c.uniforms.scaleLo=w,c.uniforms.translateHi=M,c.uniforms.translateLo=k,c.uniforms.viewBox=r.viewBox;var d=this.scales;if(a)for(var p=d.length-1;p>=0;p--){var m=d[p];if(!(m.pixelSize&&m.pixelSize<1.25*o&&p>1)){var v=m.offset,g=m.count+v,y=b.ge(this.xCoords,s,v,g-1),x=b.lt(this.xCoords,l,y,g-1)+1;x>y&&u.drawArrays(u.POINTS,y,x-y)}}else u.drawArrays(u.POINTS,0,n);if(e)return t+n;h?u.blendFunc(u.ONE,u.ONE_MINUS_SRC_ALPHA):u.disable(u.BLEND)},x.draw=x.drawPick,x.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}},x.update=function(t){t=t||{};var e=t.positions||[],r=t.colors||[],n=t.glyphs||[],i=t.sizes||[],a=t.borderWidths||[],o=t.borderColors||[],s=this.plot.gl,l=this.pointCount,u=l>this.snapThreshold;if(null!=t.positions){this.points=e,l=this.points.length/2,u=l>this.snapThreshold;var c=h.mallocFloat32(2*l),f=h.mallocFloat64(2*l),m=h.mallocUint32(l),b=h.mallocFloat32(4*l);f.set(this.points),u&&(this.i2idx&&h.free(this.i2idx),this.i2idx=h.mallocInt32(l),this.scales=d(f,this.i2idx,c)),this.pointCount=l;for(var x=0;x<l;++x){var _=u?this.i2idx[x]:x;m[x]=_;var w=e[2*_],M=e[2*_+1];b[4*x]=w,b[4*x+1]=M,b[4*x+2]=w-b[4*x],b[4*x+3]=M-b[4*x+1],this.xCoords[x]=w}this.idBuffer.update(m),this.positionBuffer.update(b),h.free(b),h.free(m),h.free(f),h.free(c)}for(var k=h.mallocFloat32(2*l),A=h.mallocUint8(2*l),T=h.mallocUint8(2*l),S={},E=[],L=[],C=[],x=0,I=l,z=0;x<I;++x){var D=[255*r[4*x],255*r[4*x+1],255*r[4*x+2],255*r[4*x+3]],P=v(D,!1);null==S[P]&&(S[P]=z++,L.push(D[0]),L.push(D[1]),L.push(D[2]),L.push(D[3])),E.push(P),o&&o.length&&(D=[255*o[4*x],255*o[4*x+1],255*o[4*x+2],255*o[4*x+3]],P=v(D,!1),null==S[P]&&(S[P]=z++,L.push(D[0]),L.push(D[1]),L.push(D[2]),L.push(D[3])),C.push(P))}for(var O={},x=0,I=l,z=0;x<I;x++){var R=n[x];null==O[R]&&(O[R]=z++)}for(var F=0,x=0,I=i.length;x<I;++x)i[x]>F&&(F=i[x]);var j=this.charStep;this.charStep=y(Math.ceil(4*F),128,768);var N=Object.keys(O),B=this.charStep,U=Math.floor(B/2),V=s.getParameter(s.MAX_TEXTURE_SIZE),H=V/B*(V/B),q=Math.min(V,B*N.length),G=Math.min(V,B*Math.ceil(B*N.length/V)),Y=Math.floor(q/B);N.length>H&&console.warn(\"gl-scatter2d-fancy: number of characters is more than maximum texture size. Try reducing it.\"),this.chars&&this.chars+\"\"==N+\"\"&&this.charStep==j||(this.charCanvas=p({canvas:this.charCanvas,family:\"sans-serif\",size:U,shape:[q,G],step:[B,B],chars:N,align:!0,fit:this.charFit}),this.chars=N);for(var x=0;x<l;++x){var _=u?this.i2idx[x]:x,W=i[_],X=a[_];k[2*x]=2*W,k[2*x+1]=X;var P=E[_],Z=S[P];A[2*x]=Z;var J=C[_],K=S[J];A[2*x+1]=K;var R=n[_],Q=O[R];T[2*x+1]=Math.floor(Q/Y),T[2*x]=Q%Y}this.sizeBuffer.update(k),this.colorBuffer.update(A),this.charBuffer.update(T),this.charTexture.shape=[this.charCanvas.width,this.charCanvas.height],this.charCanvas&&this.charCanvas.width&&this.charTexture.setPixels(this.charCanvas),this.paletteTexture.setPixels(g(L.slice(0,1024),[256,1,4])),h.free(k),h.free(A),h.free(T)},x.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.sizeBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.charBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":232,\"binary-search-bounds\":233,clamp:88,\"color-id\":92,\"font-atlas-sdf\":134,\"gl-buffer\":156,\"gl-shader\":234,\"gl-texture2d\":267,ndarray:467,\"snap-points-2d\":242,\"typedarray-pool\":541}],244:[function(t,e,r){r.pointVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 positionHi, positionLo;\\nattribute float weight;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform float pointSize, useWeight;\\n\\nvarying float fragWeight;\\n\\n\\nvec4 pfx_1_0(vec2 scaleHi, vec2 scaleLo, vec2 translateHi, vec2 translateLo, vec2 positionHi, vec2 positionLo) {\\n  return vec4((positionHi + translateHi) * scaleHi\\n            + (positionLo + translateLo) * scaleHi\\n            + (positionHi + translateHi) * scaleLo\\n            + (positionLo + translateLo) * scaleLo, 0.0, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position = pfx_1_0(scaleHi, scaleLo, translateHi, translateLo, positionHi, positionLo);\\n  gl_PointSize = pointSize;\\n  fragWeight = mix(1.0, weight, useWeight);\\n}\",r.pointFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\n\\nvarying float fragWeight;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float radius = length(2.0*gl_PointCoord.xy-1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  vec4 baseColor = mix(borderColor, color, smoothStep(radius, centerFraction));\\n  float alpha = 1.0 - pow(1.0 - baseColor.a, fragWeight);\\n  gl_FragColor = vec4(baseColor.rgb * alpha, alpha);\\n}\\n\",r.pickVertex=\"precision highp float;\\n#define GLSLIFY 1\\n\\nvec4 pfx_1_0(vec2 scaleHi, vec2 scaleLo, vec2 translateHi, vec2 translateLo, vec2 positionHi, vec2 positionLo) {\\n  return vec4((positionHi + translateHi) * scaleHi\\n            + (positionLo + translateLo) * scaleHi\\n            + (positionHi + translateHi) * scaleLo\\n            + (positionLo + translateLo) * scaleLo, 0.0, 1.0);\\n}\\n\\nattribute vec2 positionHi, positionLo;\\nattribute vec4 pickId;\\n\\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_Position = pfx_1_0(scaleHi, scaleLo, translateHi, translateLo, positionHi, positionLo);\\n  gl_PointSize = pointSize;\\n  fragId = id;\\n}\",r.pickFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\"},{}],245:[function(t,e,r){arguments[4][84][0].apply(r,arguments)},{dup:84}],246:[function(t,e,r){arguments[4][241][0].apply(r,arguments)},{dup:241}],247:[function(t,e,r){arguments[4][242][0].apply(r,arguments)},{\"./lib/sort\":246,dup:242,\"typedarray-pool\":541}],248:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o){this.plot=t,this.positionBufferHi=e,this.positionBufferLo=r,this.pickBuffer=n,this.weightBuffer=i,this.shader=a,this.pickShader=o,this.scales=[],this.size=12,this.borderSize=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0,this.points=null,this.xCoords=null,this.snapPoints=!0}function i(t,e){var r=t.gl,i=o(r),s=o(r),l=o(r),u=o(r),h=a(r,c.pointVertex,c.pointFragment),f=a(r,c.pickVertex,c.pickFragment),d=new n(t,i,s,l,u,h,f);return d.update(e),t.addObject(d),d}var a=t(\"gl-shader\"),o=t(\"gl-buffer\"),s=t(\"binary-search-bounds\"),l=t(\"snap-points-2d\"),u=t(\"typedarray-pool\"),c=t(\"./lib/shader\"),h=t(\"array-normalize\"),f=t(\"array-bounds\");e.exports=i;var d=n.prototype,p=new Float32Array(2),m=new Float32Array(2),v=new Float32Array(2),g=new Float32Array(2),y=[0,0,0,0];d.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBufferHi.dispose(),this.positionBufferLo.dispose(),this.pickBuffer.dispose(),this.xCoords&&u.free(this.xCoords),this.plot.removeObject(this)},d.update=function(t){function e(e,r){return e in t?t[e]:r}if(t=t||{},this.size=e(\"size\",12),this.color=e(\"color\",[1,0,0,1]).slice(),this.borderSize=e(\"borderSize\",1),this.borderColor=e(\"borderColor\",[0,0,0,1]).slice(),this.snapPoints=e(\"snapPoints\",!0),null!=t.positions){this.xCoords&&u.free(this.xCoords),this.points=t.positions;var r=this.points.length>>>1,n=u.mallocInt32(r),i=u.mallocFloat32(r),a=u.mallocFloat64(2*r);if(a.set(this.points),this.snapPoints)this.scales=l(a,n,i,this.bounds);else{this.bounds=f(a,2),h(a,2,this.bounds);for(var o=0;o<r;o++)n[o]=o,i[o]=1}var s=u.mallocFloat64(r),c=u.mallocFloat32(2*r),d=u.mallocFloat32(2*r);c.set(a);for(var o=0,p=0;o<r;o++,p+=2)d[p]=a[p]-c[p],d[p+1]=a[p+1]-c[p+1],s[o]=a[p];this.positionBufferHi.update(c),this.positionBufferLo.update(d),this.pickBuffer.update(n),this.weightBuffer.update(i),u.free(c),u.free(d),u.free(i),u.free(a),u.free(n),this.xCoords=s,this.pointCount=r,this.pickOffset=0}},d.draw=function(t){var e=void 0!==t,r=this.plot,n=e?this.pickShader:this.shader,i=this.scales,a=this.positionBufferHi,o=this.positionBufferLo,s=this.pickBuffer,l=this.bounds,u=this.size,c=this.borderSize,h=r.gl,f=e?r.pickPixelRatio:r.pixelRatio,d=r.viewBox,b=r.dataBox;if(0===this.pointCount)return t;var x=l[2]-l[0],_=l[3]-l[1],w=b[2]-b[0],M=b[3]-b[1],k=(d[2]-d[0])*f/r.pixelRatio,A=(d[3]-d[1])*f/r.pixelRatio,T=this.pixelSize=Math.min(w/k,M/A),S=2*x/w,E=2*_/M;p[0]=S,p[1]=E,m[0]=S-p[0],m[1]=E-p[1];var L=(l[0]-b[0]-.5*w)/x,C=(l[1]-b[1]-.5*M)/_;v[0]=L,v[1]=C,g[0]=L-v[0],g[1]=C-v[1],n.bind(),n.uniforms.scaleHi=p,n.uniforms.scaleLo=m,n.uniforms.translateHi=v,n.uniforms.translateLo=g,n.uniforms.color=this.color,n.uniforms.borderColor=this.borderColor,n.uniforms.pointSize=f*(u+c),n.uniforms.centerFraction=0===this.borderSize?2:u/(u+c+1.25),a.bind(),n.attributes.positionHi.pointer(),o.bind(),n.attributes.positionLo.pointer(),e?(this.pickOffset=t,y[0]=255&t,y[1]=t>>8&255,y[2]=t>>16&255,y[3]=t>>24&255,n.uniforms.pickOffset=y,s.bind(),n.attributes.pickId.pointer(h.UNSIGNED_BYTE)):(n.uniforms.useWeight=1,this.weightBuffer.bind(),n.attributes.weight.pointer());var I=!0;if(this.snapPoints)for(var z=i.length-1;z>=0;z--){var D=i[z];if(!(D.pixelSize<T&&z>1)){var P=this.getVisibleRange(D),O=P[0],R=P[1];R>O&&h.drawArrays(h.POINTS,O,R-O),!e&&I&&(I=!1,n.uniforms.useWeight=0)}}else h.drawArrays(h.POINTS,0,this.pointCount);return t+this.pointCount},d.getVisibleRange=function(t){var e=this.plot.dataBox,r=this.bounds,n=this.pixelSize,i=this.size,a=this.plot.pixelRatio,o=r[2]-r[0];r[3],r[1];if(!t)for(var t,l=this.scales.length-1;l>=0&&(t=this.scales[l],t.pixelSize<n&&l>1);l--);var u=this.xCoords,c=(e[0]-r[0]-n*i*a)/o,h=(e[2]-r[0]+n*i*a)/o,f=t.offset,d=t.count+f,p=s.ge(u,c,f,d-1);return[p,s.lt(u,h,p,d-1)+1]},d.drawPick=d.draw,d.pick=function(t,e,r){var n=r-this.pickOffset;return n<0||n>=this.pointCount?null:{object:this,pointId:n,dataCoord:[this.points[2*n],this.points[2*n+1]]}}},{\"./lib/shader\":244,\"array-bounds\":44,\"array-normalize\":45,\"binary-search-bounds\":245,\"gl-buffer\":156,\"gl-shader\":255,\"snap-points-2d\":247,\"typedarray-pool\":541}],249:[function(t,e,r){\"use strict\";function n(t,e){var r=a[e];if(r||(r=a[e]={}),t in r)return r[t];for(var n=i(t,{textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e}),o=i(t,{triangles:!0,textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e}),s=[[1/0,1/0],[-1/0,-1/0]],l=0;l<n.positions.length;++l)for(var u=n.positions[l],c=0;c<2;++c)s[0][c]=Math.min(s[0][c],u[c]),s[1][c]=Math.max(s[1][c],u[c]);return r[t]=[o,n,s]}var i=t(\"vectorize-text\");e.exports=n;var a={}},{\"vectorize-text\":554}],250:[function(t,e,r){function n(t,e){var r=i(t,e),n=r.attributes;return n.position.location=0,n.color.location=1,n.glyph.location=2,n.id.location=3,r}var i=t(\"gl-shader\"),a=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\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(any(lessThan(position, clipBounds[0]))   || \\n     any(greaterThan(position, clipBounds[1])) ) {\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 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}\",o=\"precision mediump float;\\n#define GLSLIFY 1\\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(any(lessThan(position, clipBounds[0])) || any(greaterThan(position, clipBounds[1]))) {\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 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}\",s=\"precision mediump float;\\n#define GLSLIFY 1\\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(any(lessThan(position, clipBounds[0]))   ||\\n     any(greaterThan(position, clipBounds[1])) ) {\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 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\",l=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if(any(lessThan(dataCoordinate, fragClipBounds[0]))   ||\\n     any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\\n    discard;\\n  } else {\\n    gl_FragColor = interpColor * opacity;\\n  }\\n}\\n\",u=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if(any(lessThan(dataCoordinate, fragClipBounds[0]))   || \\n     any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\\n    discard;\\n  } else {\\n    gl_FragColor = vec4(pickGroup, pickId.bgr);\\n  }\\n}\",c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:a,fragment:l,attributes:c},f={vertex:o,fragment:l,attributes:c},d={vertex:s,fragment:l,attributes:c},p={vertex:a,fragment:u,attributes:c},m={vertex:o,fragment:u,attributes:c},v={vertex:s,fragment:u,attributes:c};r.createPerspective=function(t){return n(t,h)},r.createOrtho=function(t){return n(t,f)},r.createProject=function(t){return n(t,d)},r.createPickPerspective=function(t){return n(t,p)},r.createPickOrtho=function(t){return n(t,m)},r.createPickProject=function(t){return n(t,v)}},{\"gl-shader\":255}],251:[function(t,e,r){\"use strict\";function n(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 i(t,e,r,i){return n(i,i,r),n(i,i,e),n(i,i,t)}function a(t,e){this.index=t,this.dataCoordinate=this.position=e}function o(t,e,r,n,i,o,s,l,u,c,h,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=o,this.glyphBuffer=s,this.idBuffer=l,this.vao=u,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=h,this.pickProjectShader=f,this.points=[],this._selectResult=new a(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}function s(t){return t[0]=t[1]=t[2]=0,t}function l(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function u(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function c(t){for(var e=L,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}function h(t,e,r,n,a){var o,h=e.axesProject,f=e.gl,d=t.uniforms,p=r.model||x,m=r.view||x,v=r.projection||x,y=e.axesBounds,b=c(e.clipBounds);o=e.axes?e.axes.lastCubeProps.axis:[1,1,1],w[0]=2/f.drawingBufferWidth,w[1]=2/f.drawingBufferHeight,t.bind(),d.view=m,d.projection=v,d.screenSize=w,d.highlightId=e.highlightId,d.highlightScale=e.highlightScale,d.clipBounds=b,\n",
       "d.pickGroup=e.pickId/255,d.pixelRatio=e.pixelRatio;for(var _=0;_<3;++_)if(h[_]&&e.projectOpacity[_]<1===n){d.scale=e.projectScale[_],d.opacity=e.projectOpacity[_];for(var L=S,C=0;C<16;++C)L[C]=0;for(var C=0;C<4;++C)L[5*C]=1;L[5*_]=0,o[_]<0?L[12+_]=y[0][_]:L[12+_]=y[1][_],g(L,p,L),d.model=L;var I=(_+1)%3,z=(_+2)%3,D=s(M),P=s(k);D[I]=1,P[z]=1;var O=i(v,m,p,l(A,D)),R=i(v,m,p,l(T,P));if(Math.abs(O[1])>Math.abs(R[1])){var F=O;O=R,R=F,F=D,D=P,P=F;var j=I;I=z,z=j}O[0]<0&&(D[I]=-1),R[1]>0&&(P[z]=-1);for(var N=0,B=0,C=0;C<4;++C)N+=Math.pow(p[4*I+C],2),B+=Math.pow(p[4*z+C],2);D[I]/=Math.sqrt(N),P[z]/=Math.sqrt(B),d.axes[0]=D,d.axes[1]=P,d.fragClipBounds[0]=u(E,b[0],_,-1e8),d.fragClipBounds[1]=u(E,b[1],_,1e8),e.vao.draw(f.TRIANGLES,e.vertexCount),e.lineWidth>0&&(f.lineWidth(e.lineWidth),e.vao.draw(f.LINES,e.lineVertexCount,e.vertexCount))}}function f(t,e,r,n,i,a){var o=r.gl;if(r.vao.bind(),i===r.opacity<1||a){t.bind();var s=t.uniforms;s.model=n.model||x,s.view=n.view||x,s.projection=n.projection||x,w[0]=2/o.drawingBufferWidth,w[1]=2/o.drawingBufferHeight,s.screenSize=w,s.highlightId=r.highlightId,s.highlightScale=r.highlightScale,s.fragClipBounds=z,s.clipBounds=r.axes.bounds,s.opacity=r.opacity,s.pickGroup=r.pickId/255,s.pixelRatio=r.pixelRatio,r.vao.draw(o.TRIANGLES,r.vertexCount),r.lineWidth>0&&(o.lineWidth(r.lineWidth),r.vao.draw(o.LINES,r.lineVertexCount,r.vertexCount))}h(e,r,n,i,a),r.vao.unbind()}function d(t){var e=t.gl,r=y.createPerspective(e),n=y.createOrtho(e),i=y.createProject(e),a=y.createPickPerspective(e),s=y.createPickOrtho(e),l=y.createPickProject(e),u=p(e),c=p(e),h=p(e),f=p(e),d=m(e,[{buffer:u,size:3,type:e.FLOAT},{buffer:c,size:4,type:e.FLOAT},{buffer:h,size:2,type:e.FLOAT},{buffer:f,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new o(e,r,n,i,u,c,h,f,d,a,s,l);return v.update(t),v}var p=t(\"gl-buffer\"),m=t(\"gl-vao\"),v=t(\"typedarray-pool\"),g=t(\"gl-mat4/multiply\"),y=t(\"./lib/shaders\"),b=t(\"./lib/glyphs\"),x=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];e.exports=d;var _=o.prototype;_.pickSlots=1,_.setPickBase=function(t){this.pickId=t},_.isTransparent=function(){if(this.opacity<1)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectOpacity[t]<1)return!0;return!1},_.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectOpacity[t]>=1)return!0;return!1};var w=[0,0],M=[0,0,0],k=[0,0,0],A=[0,0,0,1],T=[0,0,0,1],S=x.slice(),E=[0,0,0],L=[[0,0,0],[0,0,0]],C=[-1e8,-1e8,-1e8],I=[1e8,1e8,1e8],z=[C,I];_.draw=function(t){f(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,!1,!1)},_.drawTransparent=function(t){f(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,!0,!1)},_.drawPick=function(t){f(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,!1,!0)},_.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},_.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},_.update=function(t){if(t=t||{},\"perspective\"in t&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(\"projectOpacity\"in t)if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{var r=+t.projectOpacity;this.projectOpacity=[r,r,r]}\"opacity\"in t&&(this.opacity=t.opacity),this.dirty=!0;var n=t.position;if(n){var i=t.font||\"normal\",a=t.alignment||[0,0],o=[1/0,1/0,1/0],s=[-1/0,-1/0,-1/0],l=t.glyph,u=t.color,c=t.size,h=t.angle,f=t.lineColor,d=0,p=0,m=0,g=n.length;t:for(var y=0;y<g;++y){for(var x=n[y],_=0;_<3;++_)if(isNaN(x[_])||!isFinite(x[_]))continue t;var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b(\"\\u25cf\",i);var M=w[0],k=w[1],A=w[2];p+=3*M.cells.length,m+=2*k.edges.length}var T=p+m,S=v.mallocFloat(3*T),E=v.mallocFloat(4*T),L=v.mallocFloat(2*T),C=v.mallocUint32(T),I=[0,a[1]],z=0,D=p,P=[0,0,0,1],O=[0,0,0,1],R=Array.isArray(u)&&Array.isArray(u[0]),F=Array.isArray(f)&&Array.isArray(f[0]);t:for(var y=0;y<g;++y){for(var x=n[y],_=0;_<3;++_){if(isNaN(x[_])||!isFinite(x[_])){d+=1;continue t}s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_])}var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b(\"\\u25cf\",i);var M=w[0],k=w[1],A=w[2];if(Array.isArray(u)){var j;if(j=R?u[y]:u,3===j.length){for(var _=0;_<3;++_)P[_]=j[_];P[3]=1}else if(4===j.length)for(var _=0;_<4;++_)P[_]=j[_]}else P[0]=P[1]=P[2]=0,P[3]=1;if(Array.isArray(f)){var j;if(j=F?f[y]:f,3===j.length){for(var _=0;_<3;++_)O[_]=j[_];O[_]=1}else if(4===j.length)for(var _=0;_<4;++_)O[_]=j[_]}else O[0]=O[1]=O[2]=0,O[3]=1;var N=.5;Array.isArray(c)?N=+c[y]:c?N=+c:this.useOrtho&&(N=12);var B=0;Array.isArray(h)?B=+h[y]:h&&(B=+h);for(var U=Math.cos(B),V=Math.sin(B),x=n[y],_=0;_<3;++_)s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_]);a[0]<0?I[0]=a[0]*(1+A[1][0]):a[0]>0&&(I[0]=-a[0]*(1+A[0][0]));for(var H=M.cells,q=M.positions,_=0;_<H.length;++_)for(var G=H[_],Y=0;Y<3;++Y){for(var W=0;W<3;++W)S[3*z+W]=x[W];for(var W=0;W<4;++W)E[4*z+W]=P[W];C[z]=d;var X=q[G[Y]];L[2*z]=N*(U*X[0]-V*X[1]+I[0]),L[2*z+1]=N*(V*X[0]+U*X[1]+I[1]),z+=1}for(var H=k.edges,q=k.positions,_=0;_<H.length;++_)for(var G=H[_],Y=0;Y<2;++Y){for(var W=0;W<3;++W)S[3*D+W]=x[W];for(var W=0;W<4;++W)E[4*D+W]=O[W];C[D]=d;var X=q[G[Y]];L[2*D]=N*(U*X[0]-V*X[1]+I[0]),L[2*D+1]=N*(V*X[0]+U*X[1]+I[1]),D+=1}d+=1}this.vertexCount=p,this.lineVertexCount=m,this.pointBuffer.update(S),this.colorBuffer.update(E),this.glyphBuffer.update(L),this.idBuffer.update(new Uint32Array(C)),v.free(S),v.free(E),v.free(L),v.free(C),this.bounds=[o,s],this.points=n,this.pointCount=n.length}},_.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()}},{\"./lib/glyphs\":249,\"./lib/shaders\":250,\"gl-buffer\":156,\"gl-mat4/multiply\":183,\"gl-vao\":271,\"typedarray-pool\":541}],252:[function(t,e,r){\"use strict\";r.boxVertex=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\",r.boxFragment=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"},{}],253:[function(t,e,r){\"use strict\";function n(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}function i(t,e){var r=t.gl,i=o(r,[0,0,0,1,1,0,1,1]),l=a(r,s.boxVertex,s.boxFragment),u=new n(t,i,l);return u.update(e),t.addOverlay(u),u}var a=t(\"gl-shader\"),o=t(\"gl-buffer\"),s=t(\"./lib/shaders\");e.exports=i;var l=n.prototype;l.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,u=t.viewBox,c=t.pixelRatio,h=(e[0]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],f=(e[1]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1],d=(e[2]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],p=(e[3]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1];if(h=Math.max(h,u[0]),f=Math.max(f,u[1]),d=Math.min(d,u[2]),p=Math.min(p,u[3]),!(d<h||p<f)){o.bind();var m=s[2]-s[0],v=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,m,f,i),o.drawBox(0,f,h,p,i),o.drawBox(0,p,m,v,i),o.drawBox(d,f,m,p,i)),this.innerFill&&o.drawBox(h,f,d,p,n),r>0){var g=r*c;o.drawBox(h-g,f-g,d+g,f+g,a),o.drawBox(h-g,p-g,d+g,p+g,a),o.drawBox(h-g,f-g,h+g,p+g,a),o.drawBox(d-g,f-g,d+g,p+g,a)}}}},l.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},l.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":252,\"gl-buffer\":156,\"gl-shader\":255}],254:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function i(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}function a(t,e){return new i(t,o(t,e),s.mallocUint8(e[0]*e[1]*4))}e.exports=a;var o=t(\"gl-fbo\"),s=t(\"typedarray-pool\"),l=t(\"ndarray\"),u=t(\"bit-twiddle\").nextPow2,c=t(\"cwise/lib/wrapper\")({args:[\"array\",{offset:[0,0,1],array:0},{offset:[0,0,2],array:0},{offset:[0,0,3],array:0},\"scalar\",\"scalar\",\"index\"],pre:{body:\"{this_closestD2=1e8,this_closestX=-1,this_closestY=-1}\",args:[],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[]},body:{body:\"{if(_inline_46_arg0_<255||_inline_46_arg1_<255||_inline_46_arg2_<255||_inline_46_arg3_<255){var _inline_46_l=_inline_46_arg4_-_inline_46_arg6_[0],_inline_46_a=_inline_46_arg5_-_inline_46_arg6_[1],_inline_46_f=_inline_46_l*_inline_46_l+_inline_46_a*_inline_46_a;_inline_46_f<this_closestD2&&(this_closestD2=_inline_46_f,this_closestX=_inline_46_arg6_[0],this_closestY=_inline_46_arg6_[1])}}\",args:[{name:\"_inline_46_arg0_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg1_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg2_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg3_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg4_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg5_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_46_arg6_\",lvalue:!1,rvalue:!0,count:4}],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[\"_inline_46_a\",\"_inline_46_f\",\"_inline_46_l\"]},post:{body:\"{return[this_closestX,this_closestY,this_closestD2]}\",args:[],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[]},debug:!1,funcName:\"cwise\",blockSize:64}),h=i.prototype;Object.defineProperty(h,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){s.free(this.buffer);for(var n=this.buffer=s.mallocUint8(u(r*e*4)),i=0;i<r*e*4;++i)n[i]=255}return t}}}),h.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},h.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},h.query=function(t,e,r){if(!this.gl)return null;var i=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var a=0|Math.min(Math.max(t-r,0),i[0]),o=0|Math.min(Math.max(t+r,0),i[0]),s=0|Math.min(Math.max(e-r,0),i[1]),u=0|Math.min(Math.max(e+r,0),i[1]);if(o<=a||u<=s)return null;var h=[o-a,u-s],f=l(this.buffer,[h[0],h[1],4],[4,4*i[0],1],4*(a+i[0]*s)),d=c(f.hi(h[0],h[1],1),r,r),p=d[0],m=d[1];return p<0||Math.pow(this.radius,2)<d[2]?null:new n(p+a|0,m+s|0,f.get(p,m,0),[f.get(p,m,1),f.get(p,m,2),f.get(p,m,3)],Math.sqrt(d[2]))},h.dispose=function(){this.gl&&(this.fbo.dispose(),s.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":67,\"cwise/lib/wrapper\":113,\"gl-fbo\":164,ndarray:467,\"typedarray-pool\":541}],255:[function(t,e,r){\"use strict\";function n(t){this.gl=t,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}function i(t,e){return t.name<e.name?-1:1}function a(t,e,r,i,a){var o=new n(t);return o.update(e,r,i,a),o}var o=t(\"./lib/create-uniforms\"),s=t(\"./lib/create-attributes\"),l=t(\"./lib/reflect\"),u=t(\"./lib/shader-cache\"),c=t(\"./lib/runtime-reflect\"),h=t(\"./lib/GLError\"),f=n.prototype;f.bind=function(){this.program||this._relink(),this.gl.useProgram(this.program)},f.dispose=function(){this._fref&&this._fref.dispose(),this._vref&&this._vref.dispose(),this.attributes=this.types=this.vertShader=this.fragShader=this.program=this._relink=this._fref=this._vref=null},f.update=function(t,e,r,n){function a(){d.program=u.program(p,d._vref,d._fref,x,_);for(var t=0;t<r.length;++t)E[t]=p.getUniformLocation(d.program,r[t].name)}if(!e||1===arguments.length){var f=t;t=f.vertex,e=f.fragment,r=f.uniforms,n=f.attributes}var d=this,p=d.gl,m=d._vref;d._vref=u.shader(p,p.VERTEX_SHADER,t),m&&m.dispose(),d.vertShader=d._vref.shader;var v=this._fref;if(d._fref=u.shader(p,p.FRAGMENT_SHADER,e),v&&v.dispose(),d.fragShader=d._fref.shader,!r||!n){var g=p.createProgram();if(p.attachShader(g,d.fragShader),p.attachShader(g,d.vertShader),p.linkProgram(g),!p.getProgramParameter(g,p.LINK_STATUS)){var y=p.getProgramInfoLog(g);throw new h(y,\"Error linking program:\"+y)}r=r||c.uniforms(p,g),n=n||c.attributes(p,g),p.deleteProgram(g)}n=n.slice(),n.sort(i);for(var b=[],x=[],_=[],w=0;w<n.length;++w){var M=n[w];if(M.type.indexOf(\"mat\")>=0){for(var k=0|M.type.charAt(M.type.length-1),A=new Array(k),T=0;T<k;++T)A[T]=_.length,x.push(M.name+\"[\"+T+\"]\"),\"number\"==typeof M.location?_.push(M.location+T):Array.isArray(M.location)&&M.location.length===k&&\"number\"==typeof M.location[T]?_.push(0|M.location[T]):_.push(-1);b.push({name:M.name,type:M.type,locations:A})}else b.push({name:M.name,type:M.type,locations:[_.length]}),x.push(M.name),\"number\"==typeof M.location?_.push(0|M.location):_.push(-1)}for(var S=0,w=0;w<_.length;++w)if(_[w]<0){for(;_.indexOf(S)>=0;)S+=1;_[w]=S}var E=new Array(r.length);a(),d._relink=a,d.types={uniforms:l(r),attributes:l(n)},d.attributes=s(p,d,b,_),Object.defineProperty(d,\"uniforms\",o(p,d,r,E))},e.exports=a},{\"./lib/GLError\":256,\"./lib/create-attributes\":257,\"./lib/create-uniforms\":258,\"./lib/reflect\":259,\"./lib/runtime-reflect\":260,\"./lib/shader-cache\":261}],256:[function(t,e,r){arguments[4][213][0].apply(r,arguments)},{dup:213}],257:[function(t,e,r){arguments[4][214][0].apply(r,arguments)},{\"./GLError\":256,dup:214}],258:[function(t,e,r){arguments[4][215][0].apply(r,arguments)},{\"./GLError\":256,\"./reflect\":259,dup:215}],259:[function(t,e,r){arguments[4][216][0].apply(r,arguments)},{dup:216}],260:[function(t,e,r){arguments[4][217][0].apply(r,arguments)},{dup:217}],261:[function(t,e,r){arguments[4][218][0].apply(r,arguments)},{\"./GLError\":256,dup:218,\"gl-format-compiler-error\":165,\"weakmap-shim\":562}],262:[function(t,e,r){\"use strict\";function n(t){this.plot=t,this.enable=[!0,!0,!1,!1],this.width=[1,1,1,1],this.color=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.center=[1/0,1/0]}function i(t,e){var r=new n(t);return r.update(e),t.addOverlay(r),r}e.exports=i;var a=n.prototype;a.update=function(t){t=t||{},this.enable=(t.enable||[!0,!0,!1,!1]).slice(),this.width=(t.width||[1,1,1,1]).slice(),this.color=(t.color||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]).map(function(t){return t.slice()}),this.center=(t.center||[1/0,1/0]).slice(),this.plot.setOverlayDirty()},a.draw=function(){var t=this.enable,e=this.width,r=this.color,n=this.center,i=this.plot,a=i.line,o=i.dataBox,s=i.viewBox;if(a.bind(),o[0]<=n[0]&&n[0]<=o[2]&&o[1]<=n[1]&&n[1]<=o[3]){var l=s[0]+(n[0]-o[0])/(o[2]-o[0])*(s[2]-s[0]),u=s[1]+(n[1]-o[1])/(o[3]-o[1])*(s[3]-s[1]);t[0]&&a.drawLine(l,u,s[0],u,e[0],r[0]),t[1]&&a.drawLine(l,u,l,s[1],e[1],r[1]),t[2]&&a.drawLine(l,u,s[2],u,e[2],r[2]),t[3]&&a.drawLine(l,u,l,s[3],e[3],r[3])}},a.dispose=function(){this.plot.removeOverlay(this)}},{}],263:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\");e.exports=function(t){return n(t,\"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\",\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  gl_FragColor = fragColor;\\n}\",null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec3\"},{name:\"weight\",type:\"float\"}])}},{\"gl-shader\":255}],264:[function(t,e,r){\"use strict\";function n(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}function i(t,e){function r(t,e,r,n,a,o){var s=[t,e,r,0,0,0,1];s[n+3]=1,s[n]=a,i.push.apply(i,s),s[6]=-1,i.push.apply(i,s),s[n]=o,i.push.apply(i,s),i.push.apply(i,s),s[6]=1,i.push.apply(i,s),s[n]=a,i.push.apply(i,s)}var i=[];r(0,0,0,0,0,1),r(0,0,0,1,0,1),r(0,0,0,2,0,1),r(1,0,0,1,-1,1),r(1,0,0,2,-1,1),r(0,1,0,0,-1,1),r(0,1,0,2,-1,1),r(0,0,1,0,-1,1),r(0,0,1,1,-1,1);var l=a(t,i),u=o(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=s(t);c.attributes.position.location=0,c.attributes.color.location=1,c.attributes.weight.location=2;var h=new n(t,l,u,c);return h.update(e),h}var a=t(\"gl-buffer\"),o=t(\"gl-vao\"),s=t(\"./shaders/index\");e.exports=i;var l=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],u=n.prototype,c=[0,0,0],h=[0,0,0],f=[0,0];u.isTransparent=function(){return!1},u.drawTransparent=function(t){},u.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var i,a=t.model||l,o=t.view||l,s=t.projection||l;this.axes&&(i=this.axes.lastCubeProps.axis);for(var u=c,d=h,p=0;p<3;++p)i&&i[p]<0?(u[p]=this.bounds[0][p],d[p]=this.bounds[1][p]):(u[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=o,n.uniforms.projection=s,n.uniforms.coordinates=[this.position,u,d],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(var p=0;p<3;++p)n.uniforms.lineWidth=this.lineWidth[p]*this.pixelRatio,this.enabled[p]&&(r.draw(e.TRIANGLES,6,6*p),this.drawSides[p]&&r.draw(e.TRIANGLES,12,18+12*p));r.unbind()},u.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},u.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":263,\"gl-buffer\":156,\"gl-vao\":271}],265:[function(t,e,r){var n=t(\"gl-shader\"),i=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\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  worldCoordinate = vec3(uv.zw, f.x);\\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\",a=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution_2_0(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\\n\\n\\nfloat beckmannSpecular_1_1(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution_2_0(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\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 > 0.0 ||\\n    any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\\n    discard;\\n  }\\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_1_1(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 = step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) + 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\",o=\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\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  vec4 worldPosition = model * vec4(dataCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z = clipPosition.z + zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f;\\n  kill = -1.0;\\n  worldCoordinate = dataCoordinate;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don'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\",s=\"precision mediump float;\\n#define GLSLIFY 1\\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 > 0.0 ||\\n    any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\\n    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\";r.createShader=function(t){var e=n(t,i,a,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);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,i,s,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);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,o,a,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,o,s,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":255}],266:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}function i(t){var e=x([y({colormap:t,nshades:R,format:\"rgba\"}).map(function(t){return[t[0],t[1],t[2],255*t[3]]})]);return b.divseq(e,255),e}function a(t,e,r,i,a,o,s,l,u,c,h,f,d,p){this.gl=t,this.shape=e,this.bounds=r,this.intensityBounds=[],this._shader=i,this._pickShader=a,this._coordinateBuffer=o,this._vao=s,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=f,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new n([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=p,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=[_(g.mallocFloat(1024),[0,0]),_(g.mallocFloat(1024),[0,0]),_(g.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.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}function o(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||j,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=N.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],M(l,t.model,l);var u=N.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return N.showSurface=o,N.showContour=s,N}function s(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=B;n.model=t.model||D,n.view=t.view||D,n.projection=t.projection||D,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.contourColor=this.contourColor[0],n.inverseModel=k(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],s=0;s<3;++s)a[s]=Math.min(Math.max(this.clipBounds[i][s],-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=V,n.vertexColor=this.vertexColor;var l=U;for(M(l,n.view,n.model),M(l,n.projection,l),k(l,l),i=0;i<3;++i)n.eyePosition[i]=l[12+i]/l[15];var u=l[15];for(i=0;i<3;++i)u+=this.lightPosition[i]*l[4*i+3];for(i=0;i<3;++i){var c=l[12+i];for(s=0;s<3;++s)c+=l[4*s+i]*this.lightPosition[s];n.lightPosition[i]=c/u}var h=o(n,this);if(h.showSurface&&e===this.opacity<1){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=h.projections[i],this._shader.uniforms.clipBounds=h.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(h.showContour&&!e){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var d=this._contourVAO;for(d.bind(),i=0;i<3;++i)for(f.uniforms.permutation=O[i],r.lineWidth(this.contourWidth[i]),s=0;s<this.contourLevels[i].length;++s)this._contourCounts[i][s]&&(s===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==s&&s-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),f.uniforms.height=this.contourLevels[i][s],d.draw(r.LINES,this._contourCounts[i][s],this._contourOffsets[i][s]));for(i=0;i<3;++i)for(f.uniforms.model=h.projections[i],f.uniforms.clipBounds=h.clipBounds[i],s=0;s<3;++s)if(this.contourProject[i][s]){f.uniforms.permutation=O[s],r.lineWidth(this.contourWidth[s]);for(var p=0;p<this.contourLevels[s].length;++p)p===this.highlightLevel[s]?(f.uniforms.contourColor=this.highlightColor[s],f.uniforms.contourTint=this.highlightTint[s]):0!==p&&p-1!==this.highlightLevel[s]||(f.uniforms.contourColor=this.contourColor[s],f.uniforms.contourTint=this.contourTint[s]),f.uniforms.height=this.contourLevels[s][p],d.draw(r.LINES,this._contourCounts[s][p],this._contourOffsets[s][p])}for(d=this._dynamicVAO,d.bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=O[i],r.lineWidth(this.dynamicWidth[i]),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),s=0;s<3;++s)this.contourProject[s][i]&&(f.uniforms.model=h.projections[s],f.uniforms.clipBounds=h.clipBounds[s],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));d.unbind()}}function l(t,e){var r=e.shape.slice(),n=t.shape.slice();b.assign(t.lo(1,1).hi(r[0],r[1]),e),b.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),b.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),b.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),b.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))}function u(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function c(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 h(t){if(Array.isArray(t)){if(Array.isArray(t))return[c(t[0]),c(t[1]),c(t[2])];var e=c(t);return[e.slice(),e.slice(),e.slice()]}}function f(t){var e=t.gl,r=E(e),n=C(e),i=L(e),o=I(e),s=p(e),l=m(e,[{buffer:s,size:4,stride:z,offset:0},{buffer:s,size:3,stride:z,offset:16},{buffer:s,size:3,stride:z,offset:28}]),u=p(e),c=m(e,[{buffer:u,size:4,stride:20,offset:0},{buffer:u,size:1,stride:20,offset:16}]),h=p(e),f=m(e,[{buffer:h,size:2,type:e.FLOAT}]),d=v(e,1,R,e.RGBA,e.UNSIGNED_BYTE);d.minFilter=e.LINEAR,d.magFilter=e.LINEAR;var g=new a(e,[0,0],[[0,0,0],[0,0,0]],r,n,s,l,d,i,o,u,c,h,f),y={levels:[[],[],[]]};for(var b in t)y[b]=t[b];return y.colormap=y.colormap||\"jet\",g.update(y),g}e.exports=f\n",
       ";var d=t(\"bit-twiddle\"),p=t(\"gl-buffer\"),m=t(\"gl-vao\"),v=t(\"gl-texture2d\"),g=t(\"typedarray-pool\"),y=t(\"colormap\"),b=t(\"ndarray-ops\"),x=t(\"ndarray-pack\"),_=t(\"ndarray\"),w=t(\"surface-nets\"),M=t(\"gl-mat4/multiply\"),k=t(\"gl-mat4/invert\"),A=t(\"binary-search-bounds\"),T=t(\"ndarray-gradient\"),S=t(\"./lib/shaders\"),E=S.createShader,L=S.createContourShader,C=S.createPickShader,I=S.createPickContourShader,z=40,D=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],P=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],O=[[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(){for(var t=0;t<3;++t){var e=O[t],r=(t+1)%3,n=(t+2)%3;e[r+0]=1,e[n+3]=1,e[t+6]=1}}();var R=256,F=a.prototype;F.isTransparent=function(){return this.opacity<1},F.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this._contourCounts[t].length>0||this._dynamicCounts[t]>0)return!0;return!1},F.pickSlots=1,F.setPickBase=function(t){this.pickId=t};var j=[0,0,0],N={showSurface:!1,showContour:!1,projections:[D.slice(),D.slice(),D.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]},B={model:D,view:D,projection:D,inverseModel:D.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,kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},U=D.slice(),V=[1,0,0,0,1,0,0,0,1];F.draw=function(t){return s.call(this,t,!1)},F.drawTransparent=function(t){return s.call(this,t,!0)};var H={model:D,view:D,projection:D,inverseModel:D,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};F.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=H;r.model=t.model||D,r.view=t.view||D,r.projection=t.projection||D,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.permutation=V;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var s=o(r,this);if(s.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=s.projections[n],this._pickShader.uniforms.clipBounds=s.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(s.showContour){var l=this._contourPickShader;l.bind(),l.uniforms=r;var u=this._contourVAO;for(u.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]),l.uniforms.permutation=O[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(l.uniforms.height=this.contourLevels[a][n],u.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(l.uniforms.model=s.projections[n],l.uniforms.clipBounds=s.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){l.uniforms.permutation=O[a],e.lineWidth(this.contourWidth[a]);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(l.uniforms.height=this.contourLevels[a][c],u.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}u.unbind()}},F.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]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&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<2;++c)for(var h=c?a:1-a,f=0;f<2;++f)for(var d=f?l:1-l,p=i+c,m=s+f,v=h*d,g=0;g<3;++g)u[g]+=this._field[g].get(p,m)*v;for(var y=this._pickResult.level,b=0;b<3;++b)if(y[b]=A.le(this.contourLevels[b],u[b]),y[b]<0)this.contourLevels[b].length>0&&(y[b]=0);else if(y[b]<this.contourLevels[b].length-1){var x=this.contourLevels[b][y[b]],_=this.contourLevels[b][y[b]+1];Math.abs(x-u[b])>Math.abs(_-u[b])&&(y[b]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],g=0;g<3;++g)r.dataCoordinate[g]=this._field[g].get(r.index[0],r.index[1]);return r},F.update=function(t){t=t||{},this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=u(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=u(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=u(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=h(t.contourColor)),\"contourProject\"in t&&(this.contourProject=u(t.contourProject,function(t){return u(t,Boolean)})),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=h(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=u(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=u(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0);var e=t.field||t.coords&&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)),\"field\"in t||\"coords\"in t){var n=(e.shape[0]+2)*(e.shape[1]+2);n>this._field[2].data.length&&(g.freeFloat(this._field[2].data),this._field[2].data=g.mallocFloat(d.nextPow2(n))),this._field[2]=_(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),l(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(g.freeFloat(this._field[o].data),this._field[o].data=g.mallocFloat(this._field[2].size)),this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var s=t.coords;if(!Array.isArray(s)||3!==s.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=s[o];for(y=0;y<2;++y)if(c.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");l(this._field[o],c)}}else if(t.ticks){var f=t.ticks;if(!Array.isArray(f)||2!==f.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=f[o];if((Array.isArray(p)||p.length)&&(p=_(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var m=_(p.data,a);m.stride[o]=p.stride[0],m.stride[1^o]=0,l(this._field[o],m)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var b=this._field,x=_(g.mallocFloat(3*b[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)T(x.pick(o),b[o],\"mirror\");var M=_(g.mallocFloat(3*b[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var k=x.get(0,o,y,0),A=x.get(0,o,y,1),S=x.get(1,o,y,0),E=x.get(1,o,y,1),L=x.get(2,o,y,0),C=x.get(2,o,y,1),I=S*C-E*L,z=L*A-C*k,D=k*E-A*S,O=Math.sqrt(I*I+z*z+D*D);O<1e-8?(O=Math.max(Math.abs(I),Math.abs(z),Math.abs(D)),O<1e-8?(D=1,z=I=0,O=1):O=1/O):O=1/Math.sqrt(O),M.set(o,y,0,I*O),M.set(o,y,1,z*O),M.set(o,y,2,D*O)}g.free(x.data);var R=[1/0,1/0,1/0],F=[-1/0,-1/0,-1/0],j=1/0,N=-1/0,B=(a[0]-1)*(a[1]-1)*6,U=g.mallocFloat(d.nextPow2(10*B)),V=0,H=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var q=0;q<2;++q)for(var G=0;G<2;++G)for(var Y=0;Y<3;++Y){var W=this._field[Y].get(1+o+q,1+y+G);if(isNaN(W)||!isFinite(W))continue t}for(Y=0;Y<6;++Y){var X=o+P[Y][0],Z=y+P[Y][1],J=this._field[0].get(X+1,Z+1),K=this._field[1].get(X+1,Z+1);W=this._field[2].get(X+1,Z+1);var Q=W;I=M.get(X+1,Z+1,0),z=M.get(X+1,Z+1,1),D=M.get(X+1,Z+1,2),t.intensity&&(Q=t.intensity.get(X,Z)),U[V++]=X,U[V++]=Z,U[V++]=J,U[V++]=K,U[V++]=W,U[V++]=0,U[V++]=Q,U[V++]=I,U[V++]=z,U[V++]=D,R[0]=Math.min(R[0],J),R[1]=Math.min(R[1],K),R[2]=Math.min(R[2],W),j=Math.min(j,Q),F[0]=Math.max(F[0],J),F[1]=Math.max(F[1],K),F[2]=Math.max(F[2],W),N=Math.max(N,Q),H+=1}}for(t.intensityBounds&&(j=+t.intensityBounds[0],N=+t.intensityBounds[1]),o=6;o<V;o+=10)U[o]=(U[o]-j)/(N-j);this._vertexCount=H,this._coordinateBuffer.update(U.subarray(0,V)),g.freeFloat(U),g.free(M.data),this.bounds=[R,F],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===j&&this.intensityBounds[1]===N||(r=!0),this.intensityBounds=[j,N]}if(\"levels\"in t){var $=t.levels;for($=Array.isArray($[0])?$.slice():[[],[],$],o=0;o<3;++o)$[o]=$[o].slice(),$.sort(function(t,e){return t-e});t:for(o=0;o<3;++o){if($[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<$[o].length;++y)if($[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=$}if(r){b=this._field,a=this.shape;for(var tt=[],et=0;et<3;++et){$=this.contourLevels[et];var rt=[],nt=[],it=[0,0,0];for(o=0;o<$.length;++o){var at=w(this._field[et],$[o]);rt.push(tt.length/5|0),H=0;t:for(y=0;y<at.cells.length;++y){var ot=at.cells[y];for(Y=0;Y<2;++Y){var st=at.positions[ot[Y]],lt=st[0],ut=0|Math.floor(lt),ct=lt-ut,ht=st[1],ft=0|Math.floor(ht),dt=ht-ft,pt=!1;e:for(var mt=0;mt<3;++mt){it[mt]=0;var vt=(et+mt+1)%3;for(q=0;q<2;++q){var gt=q?ct:1-ct;for(X=0|Math.min(Math.max(ut+q,0),a[0]),G=0;G<2;++G){var yt=G?dt:1-dt;if(Z=0|Math.min(Math.max(ft+G,0),a[1]),W=mt<2?this._field[vt].get(X,Z):(this.intensity.get(X,Z)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(W)||isNaN(W)){pt=!0;break e}var bt=gt*yt;it[mt]+=bt*W}}}if(pt){if(Y>0){for(var xt=0;xt<5;++xt)tt.pop();H-=1}continue t}tt.push(it[0],it[1],st[0],st[1],it[2]),H+=1}}nt.push(H)}this._contourOffsets[et]=rt,this._contourCounts[et]=nt}var _t=g.mallocFloat(tt.length);for(o=0;o<tt.length;++o)_t[o]=tt[o];this._contourBuffer.update(_t),g.freeFloat(_t)}t.colormap&&this._colorMap.setPixels(i(t.colormap))},F.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<3;++t)g.freeFloat(this._field[t].data)},F.highlight=function(t){if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(var e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;var r;if(r=this.snapToData?t.dataCoordinate:t.position,this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=g.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var s=(o+1)%3,l=(o+2)%3,u=this._field[o],c=this._field[s],h=this._field[l],f=(this.intensity,w(u,r[o])),d=f.cells,p=f.positions;for(this._dynamicOffsets[o]=n,e=0;e<d.length;++e)for(var m=d[e],v=0;v<2;++v){var y=p[m[v]],b=+y[0],x=0|b,_=0|Math.min(x+1,i[0]),M=b-x,k=1-M,A=+y[1],T=0|A,S=0|Math.min(T+1,i[1]),E=A-T,L=1-E,C=k*L,I=k*E,z=M*L,D=M*E,P=C*c.get(x,T)+I*c.get(x,S)+z*c.get(_,T)+D*c.get(_,S),O=C*h.get(x,T)+I*h.get(x,S)+z*h.get(_,T)+D*h.get(_,S);if(isNaN(P)||isNaN(O)){v&&(n-=1);break}a[2*n+0]=P,a[2*n+1]=O,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)),g.freeFloat(a)}}},{\"./lib/shaders\":265,\"binary-search-bounds\":66,\"bit-twiddle\":67,colormap:99,\"gl-buffer\":156,\"gl-mat4/invert\":181,\"gl-mat4/multiply\":183,\"gl-texture2d\":267,\"gl-vao\":271,ndarray:467,\"ndarray-gradient\":458,\"ndarray-ops\":461,\"ndarray-pack\":462,\"surface-nets\":531,\"typedarray-pool\":541}],267:[function(t,e,r){\"use strict\";function n(t){g=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],y=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],b=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function i(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}function a(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");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 o(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}function s(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function l(t,e,r,n,i,a,o,l){var u=l.dtype,c=l.shape.slice();if(c.length<2||c.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var h=0,f=0,d=s(c,l.stride.slice());\"float32\"===u?h=t.FLOAT:\"float64\"===u?(h=t.FLOAT,d=!1,u=\"float32\"):\"uint8\"===u?h=t.UNSIGNED_BYTE:(h=t.UNSIGNED_BYTE,d=!1,u=\"uint8\");if(2===c.length)f=t.LUMINANCE,c=[c[0],c[1],1],l=p(l.data,c,[l.stride[0],l.stride[1],1],l.offset);else{if(3!==c.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===c[2])f=t.ALPHA;else if(2===c[2])f=t.LUMINANCE_ALPHA;else if(3===c[2])f=t.RGB;else{if(4!==c[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");f=t.RGBA}c[2]}if(f!==t.LUMINANCE&&f!==t.ALPHA||i!==t.LUMINANCE&&i!==t.ALPHA||(f=i),f!==i)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var g=l.size,y=o.indexOf(n)<0;if(y&&o.push(n),h===a&&d)0===l.offset&&l.data.length===g?y?t.texImage2D(t.TEXTURE_2D,n,i,c[0],c[1],0,i,a,l.data):t.texSubImage2D(t.TEXTURE_2D,n,e,r,c[0],c[1],i,a,l.data):y?t.texImage2D(t.TEXTURE_2D,n,i,c[0],c[1],0,i,a,l.data.subarray(l.offset,l.offset+g)):t.texSubImage2D(t.TEXTURE_2D,n,e,r,c[0],c[1],i,a,l.data.subarray(l.offset,l.offset+g));else{var b;b=a===t.FLOAT?v.mallocFloat32(g):v.mallocUint8(g);var _=p(b,c,[c[2],c[2]*c[0],1]);h===t.FLOAT&&a===t.UNSIGNED_BYTE?x(_,l):m.assign(_,l),y?t.texImage2D(t.TEXTURE_2D,n,i,c[0],c[1],0,i,a,b.subarray(0,g)):t.texSubImage2D(t.TEXTURE_2D,n,e,r,c[0],c[1],i,a,b.subarray(0,g)),a===t.FLOAT?v.freeFloat32(b):v.freeUint8(b)}}function u(t){var e=t.createTexture();return 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n=t(\"./literals\");e.exports=n.slice().concat([\"layout\",\"centroid\",\"smooth\",\"case\",\"mat2x2\",\"mat2x3\",\"mat2x4\",\"mat3x2\",\"mat3x3\",\"mat3x4\",\"mat4x2\",\"mat4x3\",\"mat4x4\",\"uint\",\"uvec2\",\"uvec3\",\"uvec4\",\"samplerCubeShadow\",\"sampler2DArray\",\"sampler2DArrayShadow\",\"isampler2D\",\"isampler3D\",\"isamplerCube\",\"isampler2DArray\",\"usampler2D\",\"usampler3D\",\"usamplerCube\",\"usampler2DArray\",\"coherent\",\"restrict\",\"readonly\",\"writeonly\",\"resource\",\"atomic_uint\",\"noperspective\",\"patch\",\"sample\",\"subroutine\",\"common\",\"partition\",\"active\",\"filter\",\"image1D\",\"image2D\",\"image3D\",\"imageCube\",\"iimage1D\",\"iimage2D\",\"iimage3D\",\"iimageCube\",\"uimage1D\",\"uimage2D\",\"uimage3D\",\"uimageCube\",\"image1DArray\",\"image2DArray\",\"iimage1DArray\",\"iimage2DArray\",\"uimage1DArray\",\"uimage2DArray\",\"image1DShadow\",\"image2DShadow\",\"image1DArrayShadow\",\"image2DArrayShadow\",\"imageBuffer\",\"iimageBuffer\",\"uimageBuffer\",\"sampler1DArray\",\"sampler1DArrayShadow\",\"isampler1D\",\"isampler1DArray\",\"usampler1D\",\"usampler1DArray\",\"isampler2DRect\",\"usampler2DRect\",\"samplerBuffer\",\"isamplerBuffer\",\"usamplerBuffer\",\"sampler2DMS\",\"isampler2DMS\",\"usampler2DMS\",\"sampler2DMSArray\",\"isampler2DMSArray\",\"usampler2DMSArray\"])},{\"./literals\":284}],284:[function(t,e,r){e.exports=[\"precision\",\"highp\",\"mediump\",\"lowp\",\"attribute\",\"const\",\"uniform\",\"varying\",\"break\",\"continue\",\"do\",\"for\",\"while\",\"if\",\"else\",\"in\",\"out\",\"inout\",\"float\",\"int\",\"void\",\"bool\",\"true\",\"false\",\"discard\",\"return\",\"mat2\",\"mat3\",\"mat4\",\"vec2\",\"vec3\",\"vec4\",\"ivec2\",\"ivec3\",\"ivec4\",\"bvec2\",\"bvec3\",\"bvec4\",\"sampler1D\",\"sampler2D\",\"sampler3D\",\"samplerCube\",\"sampler1DShadow\",\"sampler2DShadow\",\"struct\",\"asm\",\"class\",\"union\",\"enum\",\"typedef\",\"template\",\"this\",\"packed\",\"goto\",\"switch\",\"default\",\"inline\",\"noinline\",\"volatile\",\"public\",\"static\",\"extern\",\"external\",\"interface\",\"long\",\"short\",\"double\",\"half\",\"fixed\",\"unsigned\",\"input\",\"output\",\"hvec2\",\"hvec3\",\"hvec4\",\"dvec2\",\"dvec3\",\"dvec4\",\"fvec2\",\"fvec3\",\"fvec4\",\"sampler2DRect\",\"sampler3DRect\",\"sampler2DRectShadow\",\"sizeof\",\"cast\",\"namespace\",\"using\"]},{}],285:[function(t,e,r){e.exports=[\"<<=\",\">>=\",\"++\",\"--\",\"<<\",\">>\",\"<=\",\">=\",\"==\",\"!=\",\"&&\",\"||\",\"+=\",\"-=\",\"*=\",\"/=\",\"%=\",\"&=\",\"^^\",\"^=\",\"|=\",\"(\",\")\",\"[\",\"]\",\".\",\"!\",\"~\",\"*\",\"/\",\"%\",\"+\",\"-\",\"<\",\">\",\"&\",\"^\",\"|\",\"?\",\":\",\"=\",\",\",\";\",\"{\",\"}\"]},{}],286:[function(t,e,r){function n(t,e){var r=i(e),n=[];return n=n.concat(r(t)),n=n.concat(r(null))}var i=t(\"./index\");e.exports=n},{\"./index\":280}],287:[function(t,e,r){\"use strict\";function n(t,e,r){var n=this.cells=[];if(t instanceof ArrayBuffer){this.arrayBuffer=t;var a=new Int32Array(this.arrayBuffer);t=a[0],e=a[1],r=a[2],this.d=e+2*r;for(var o=0;o<this.d*this.d;o++){var s=a[i+o],l=a[i+o+1];n.push(s===l?null:a.subarray(s,l))}var u=a[i+n.length],c=a[i+n.length+1];this.keys=a.subarray(u,c),this.bboxes=a.subarray(c),this.insert=this._insertReadonly}else{this.d=e+2*r;for(var h=0;h<this.d*this.d;h++)n.push([]);this.keys=[],this.bboxes=[]}this.n=e,this.extent=t,this.padding=r,this.scale=e/t,this.uid=0;var f=r/e*t;this.min=-f,this.max=t+f}e.exports=n;var i=3;n.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertCell,this.uid++),this.keys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},n.prototype._insertReadonly=function(){throw\"Cannot insert into a 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Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},n.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=i+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var a=new Int32Array(e+r+this.keys.length+this.bboxes.length);a[0]=this.extent,a[1]=this.n,a[2]=this.padding;for(var o=e,s=0;s<t.length;s++){var l=t[s];a[i+s]=o,a.set(l,o),o+=l.length}return a[i+t.length]=o,a.set(this.keys,o),o+=this.keys.length,a[i+t.length+1]=o,a.set(this.bboxes,o),o+=this.bboxes.length,a.buffer}},{}],288:[function(t,e,r){(function(r){\"use strict\";var n,i=t(\"is-browser\");n=\"function\"==typeof r.matchMedia?!r.matchMedia(\"(hover: none)\").matches:i,e.exports=n}).call(this,\"undefined\"!=typeof global?global:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{\"is-browser\":294}],289:[function(t,e,r){r.read=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,u=l>>1,c=-7,h=r?i-1:0,f=r?-1:1,d=t[e+h];for(h+=f,a=d&(1<<-c)-1,d>>=-c,c+=s;c>0;a=256*a+t[e+h],h+=f,c-=8);for(o=a&(1<<-c)-1,a>>=-c,c+=n;c>0;o=256*o+t[e+h],h+=f,c-=8);if(0===a)a=1-u;else{if(a===l)return o?NaN:1/0*(d?-1:1);o+=Math.pow(2,n),a-=u}return(d?-1:1)*o*Math.pow(2,a-n)},r.write=function(t,e,r,n,i,a){var o,s,l,u=8*a-i-1,c=(1<<u)-1,h=c>>1,f=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,d=n?0:a-1,p=n?1:-1,m=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=c):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),e+=o+h>=1?f/l:f*Math.pow(2,1-h),e*l>=2&&(o++,l/=2),o+h>=c?(s=0,o=c):o+h>=1?(s=(e*l-1)*Math.pow(2,i),o+=h):(s=e*Math.pow(2,h-1)*Math.pow(2,i),o=0));i>=8;t[r+d]=255&s,d+=p,s/=256,i-=8);for(o=o<<i|s,u+=i;u>0;t[r+d]=255&o,d+=p,o/=256,u-=8);t[r+d-p]|=128*m}},{}],290:[function(t,e,r){\"use strict\";function n(t,e,r){this.vertices=t,this.adjacent=e,this.boundary=r,this.lastVisited=-1}function 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f=c[h];i[h]=f<0?e:a[f]}var d=this.orient();if(d>0)return u;u.lastVisited=-n,0===d&&o.push(u)}}}return null},f.walk=function(t,e){var r=this.vertices.length-1,n=this.dimension,i=this.vertices,a=this.tuple,o=e?this.interior.length*Math.random()|0:this.interior.length-1,s=this.interior[o];t:for(;!s.boundary;){for(var l=s.vertices,u=s.adjacent,c=0;c<=n;++c)a[c]=i[l[c]];s.lastVisited=r;for(var c=0;c<=n;++c){var h=u[c];if(!(h.lastVisited>=r)){var f=a[c];a[c]=t;var d=this.orient();if(a[c]=f,d<0){s=h;continue t}h.boundary?h.lastVisited=-r:h.lastVisited=r}}return}return s},f.addPeaks=function(t,e){var r=this.vertices.length-1,o=this.dimension,s=this.vertices,l=this.tuple,u=this.interior,c=this.simplices,h=[e];e.lastVisited=r,e.vertices[e.vertices.indexOf(-1)]=r,e.boundary=!1,u.push(e);for(var f=[];h.length>0;){var e=h.pop(),d=e.vertices,p=e.adjacent,m=d.indexOf(r);if(!(m<0))for(var v=0;v<=o;++v)if(v!==m){var g=p[v];if(g.boundary&&!(g.lastVisited>=r)){var y=g.vertices;if(g.lastVisited!==-r){for(var b=0,x=0;x<=o;++x)y[x]<0?(b=x,l[x]=t):l[x]=s[y[x]];var _=this.orient();if(_>0){y[b]=r,g.boundary=!1,u.push(g),h.push(g),g.lastVisited=r;continue}g.lastVisited=-r}var w=g.adjacent,M=d.slice(),k=p.slice(),A=new n(M,k,!0);c.push(A);var T=w.indexOf(e);if(!(T<0)){w[T]=A,k[m]=g,M[v]=-1,k[v]=e,p[v]=A,A.flip();for(var x=0;x<=o;++x){var S=M[x];if(!(S<0||S===r)){for(var E=new Array(o-1),L=0,C=0;C<=o;++C){var I=M[C];I<0||C===x||(E[L++]=I)}f.push(new i(E,A,x))}}}}}}f.sort(a);for(var v=0;v+1<f.length;v+=2){var z=f[v],D=f[v+1],P=z.index,O=D.index;P<0||O<0||(z.cell.adjacent[z.index]=D.cell,D.cell.adjacent[D.index]=z.cell)}},f.insert=function(t,e){var r=this.vertices;r.push(t);var n=this.walk(t,e);if(n){for(var i=this.dimension,a=this.tuple,o=0;o<=i;++o){var s=n.vertices[o];a[o]=s<0?t:r[s]}var l=this.orient(a);l<0||(0!==l||(n=this.handleBoundaryDegeneracy(n,t)))&&this.addPeaks(t,n)}},f.boundary=function(){for(var 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vec2 u_extrude_scale;\\nuniform float u_devicepixelratio;\\n\\nattribute vec2 a_pos;\\n\\n#pragma mapbox: define lowp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n\\nvarying vec2 v_extrude;\\nvarying lowp float v_antialiasblur;\\n\\nvoid main(void) {\\n    #pragma mapbox: initialize lowp vec4 color\\n    #pragma mapbox: initialize mediump float radius\\n    #pragma mapbox: initialize lowp float blur\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    // unencode the extrusion vector that we snuck into the a_pos vector\\n    v_extrude = vec2(mod(a_pos, 2.0) * 2.0 - 1.0);\\n\\n    vec2 extrude = v_extrude * radius * u_extrude_scale;\\n    // multiply a_pos by 0.5, since we had it * 2 in order to sneak\\n    // in extrusion data\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5), 0, 1);\\n\\n    if (u_scale_with_map) {\\n        gl_Position.xy += extrude;\\n    } else {\\n        gl_Position.xy += extrude * gl_Position.w;\\n    }\\n\\n    // This is a minimum blur distance that serves as a faux-antialiasing for\\n    // the circle. since blur is a ratio of the circle's size and the intent is\\n    // to keep the blur at roughly 1px, the two are inversely related.\\n    v_antialiasblur = 1.0 / u_devicepixelratio / radius;\\n}\\n\"},line:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform lowp vec4 u_color;\\nuniform lowp float u_opacity;\\nuniform float u_blur;\\n\\nvarying vec2 v_linewidth;\\nvarying vec2 v_normal;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_linewidth.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_linewidth.t) or when fading out\\n    // (v_linewidth.s)\\n    float blur = u_blur * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_linewidth.t - blur), v_linewidth.s - dist) / blur, 0.0, 1.0);\\n\\n    gl_FragColor = u_color * (alpha * u_opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\nattribute vec2 a_pos;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform mediump float u_linewidth;\\nuniform mediump float u_gapwidth;\\nuniform mediump float u_antialiasing;\\nuniform mediump float u_extra;\\nuniform mat2 u_antialiasingmatrix;\\nuniform mediump float u_offset;\\nuniform mediump float u_blur;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n\\n    // We store the texture normals in the most insignificant bit\\n    // transform y so that 0 => -1 and 1 => 1\\n    // In the texture normal, x is 0 if the normal points straight up/down and 1 if it's a round cap\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = mod(a_pos, 2.0);\\n    normal.y = sign(normal.y - 0.5);\\n    v_normal = normal;\\n\\n    float inset = u_gapwidth + (u_gapwidth > 0.0 ? u_antialiasing : 0.0);\\n    float outset = u_gapwidth + u_linewidth * (u_gapwidth > 0.0 ? 2.0 : 1.0) + u_antialiasing;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset = u_offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    // Remove the texture normal bit of the position before scaling it with the\\n    // model/view matrix.\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5) + (offset + dist) / u_ratio, 0.0, 1.0);\\n\\n    // position of y on the screen\\n    float y = gl_Position.y / gl_Position.w;\\n\\n    // how much features are squished in the y direction by the tilt\\n    float squish_scale = length(a_extrude) / length(u_antialiasingmatrix * a_extrude);\\n\\n    // how much features are squished in all directions by the perspectiveness\\n    float perspective_scale = 1.0 / (1.0 - min(y * u_extra, 0.9));\\n\\n    v_linewidth = vec2(outset, inset);\\n    v_gamma_scale = perspective_scale * squish_scale;\\n}\\n\"},linepattern:{\n",
       "fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_blur;\\n\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform float u_fade;\\nuniform float u_opacity;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying float v_linesofar;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_linewidth.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_linewidth.t) or when fading out\\n    // (v_linewidth.s)\\n    float blur = u_blur * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_linewidth.t - blur), v_linewidth.s - dist) / blur, 0.0, 1.0);\\n\\n    float x_a = mod(v_linesofar / u_pattern_size_a.x, 1.0);\\n    float x_b = mod(v_linesofar / u_pattern_size_b.x, 1.0);\\n    float y_a = 0.5 + (v_normal.y * v_linewidth.s / u_pattern_size_a.y);\\n    float y_b = 0.5 + (v_normal.y * v_linewidth.s / u_pattern_size_b.y);\\n    vec2 pos_a = mix(u_pattern_tl_a, u_pattern_br_a, vec2(x_a, y_a));\\n    vec2 pos_b = mix(u_pattern_tl_b, u_pattern_br_b, vec2(x_b, y_b));\\n\\n    vec4 color = mix(texture2D(u_image, pos_a), texture2D(u_image, pos_b), u_fade);\\n\\n    alpha *= u_opacity;\\n\\n    gl_FragColor = color * alpha;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\n// We scale the distance before adding it to the buffers so that we can store\\n// long distances for long segments. Use this value to unscale the distance.\\n#define LINE_DISTANCE_SCALE 2.0\\n\\nattribute vec2 a_pos;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform mediump float u_linewidth;\\nuniform mediump float u_gapwidth;\\nuniform mediump float u_antialiasing;\\nuniform mediump float u_extra;\\nuniform mat2 u_antialiasingmatrix;\\nuniform mediump float u_offset;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying float v_linesofar;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n    float a_linesofar = (floor(a_data.z / 4.0) + a_data.w * 64.0) * LINE_DISTANCE_SCALE;\\n\\n    // We store the texture normals in the most insignificant bit\\n    // transform y so that 0 => -1 and 1 => 1\\n    // In the texture normal, x is 0 if the normal points straight up/down and 1 if it's a round cap\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = mod(a_pos, 2.0);\\n    normal.y = sign(normal.y - 0.5);\\n    v_normal = normal;\\n\\n    float inset = u_gapwidth + (u_gapwidth > 0.0 ? u_antialiasing : 0.0);\\n    float outset = u_gapwidth + u_linewidth * (u_gapwidth > 0.0 ? 2.0 : 1.0) + u_antialiasing;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset = u_offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    // Remove the texture normal bit of the position before scaling it with the\\n    // model/view matrix.\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5) + (offset + dist) / u_ratio, 0.0, 1.0);\\n    v_linesofar = a_linesofar;\\n\\n    // position of y on the screen\\n    float y = gl_Position.y / gl_Position.w;\\n\\n    // how much features are squished in the y direction by the tilt\\n    float squish_scale = length(a_extrude) / length(u_antialiasingmatrix * a_extrude);\\n\\n    // how much features are squished in all directions by the perspectiveness\\n    float perspective_scale = 1.0 / (1.0 - min(y * u_extra, 0.9));\\n\\n    v_linewidth = vec2(outset, inset);\\n    v_gamma_scale = perspective_scale * squish_scale;\\n}\\n\"},linesdfpattern:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform lowp vec4 u_color;\\nuniform lowp float u_opacity;\\n\\nuniform float u_blur;\\nuniform sampler2D u_image;\\nuniform float u_sdfgamma;\\nuniform float u_mix;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying vec2 v_tex_a;\\nvarying vec2 v_tex_b;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    // Calculate the distance of the pixel from the line in pixels.\\n    float dist = length(v_normal) * v_linewidth.s;\\n\\n    // Calculate the antialiasing fade factor. This is either when fading in\\n    // the line in case of an offset line (v_linewidth.t) or when fading out\\n    // (v_linewidth.s)\\n    float blur = u_blur * v_gamma_scale;\\n    float alpha = clamp(min(dist - (v_linewidth.t - blur), v_linewidth.s - dist) / blur, 0.0, 1.0);\\n\\n    float sdfdist_a = texture2D(u_image, v_tex_a).a;\\n    float sdfdist_b = texture2D(u_image, v_tex_b).a;\\n    float sdfdist = mix(sdfdist_a, sdfdist_b, u_mix);\\n    alpha *= smoothstep(0.5 - u_sdfgamma, 0.5 + u_sdfgamma, sdfdist);\\n\\n    gl_FragColor = u_color * (alpha * u_opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n// floor(127 / 2) == 63.0\\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\\n// there are also \\\"special\\\" normals that have a bigger length (of up to 126 in\\n// this case).\\n// #define scale 63.0\\n#define scale 0.015873016\\n\\n// We scale the distance before adding it to the buffers so that we can store\\n// long distances for long segments. Use this value to unscale the distance.\\n#define LINE_DISTANCE_SCALE 2.0\\n\\nattribute vec2 a_pos;\\nattribute vec4 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform mediump float u_ratio;\\nuniform mediump float u_linewidth;\\nuniform mediump float u_gapwidth;\\nuniform mediump float u_antialiasing;\\nuniform vec2 u_patternscale_a;\\nuniform float u_tex_y_a;\\nuniform vec2 u_patternscale_b;\\nuniform float u_tex_y_b;\\nuniform float u_extra;\\nuniform mat2 u_antialiasingmatrix;\\nuniform mediump float u_offset;\\n\\nvarying vec2 v_normal;\\nvarying vec2 v_linewidth;\\nvarying vec2 v_tex_a;\\nvarying vec2 v_tex_b;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_extrude = a_data.xy - 128.0;\\n    float a_direction = mod(a_data.z, 4.0) - 1.0;\\n    float a_linesofar = (floor(a_data.z / 4.0) + a_data.w * 64.0) * LINE_DISTANCE_SCALE;\\n\\n    // We store the texture normals in the most insignificant bit\\n    // transform y so that 0 => -1 and 1 => 1\\n    // In the texture normal, x is 0 if the normal points straight up/down and 1 if it's a round cap\\n    // y is 1 if the normal points up, and -1 if it points down\\n    mediump vec2 normal = mod(a_pos, 2.0);\\n    normal.y = sign(normal.y - 0.5);\\n    v_normal = normal;\\n\\n    float inset = u_gapwidth + (u_gapwidth > 0.0 ? u_antialiasing : 0.0);\\n    float outset = u_gapwidth + u_linewidth * (u_gapwidth > 0.0 ? 2.0 : 1.0) + u_antialiasing;\\n\\n    // Scale the extrusion vector down to a normal and then up by the line width\\n    // of this vertex.\\n    mediump vec2 dist = outset * a_extrude * scale;\\n\\n    // Calculate the offset when drawing a line that is to the side of the actual line.\\n    // We do this by creating a vector that points towards the extrude, but rotate\\n    // it when we're drawing round end points (a_direction = -1 or 1) since their\\n    // extrude vector points in another direction.\\n    mediump float u = 0.5 * a_direction;\\n    mediump float t = 1.0 - abs(u);\\n    mediump vec2 offset = u_offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\\n\\n    // Remove the texture normal bit of the position before scaling it with the\\n    // model/view matrix.\\n    gl_Position = u_matrix * vec4(floor(a_pos * 0.5) + (offset + dist) / u_ratio, 0.0, 1.0);\\n\\n    v_tex_a = vec2(a_linesofar * u_patternscale_a.x, normal.y * u_patternscale_a.y + u_tex_y_a);\\n    v_tex_b = vec2(a_linesofar * u_patternscale_b.x, normal.y * u_patternscale_b.y + u_tex_y_b);\\n\\n    // position of y on the screen\\n    float y = gl_Position.y / gl_Position.w;\\n\\n    // how much features are squished in the y direction by the tilt\\n    float squish_scale = length(a_extrude) / length(u_antialiasingmatrix * a_extrude);\\n\\n    // how much features are squished in all directions by the perspectiveness\\n    float perspective_scale = 1.0 / (1.0 - min(y * u_extra, 0.9));\\n\\n    v_linewidth = vec2(outset, inset);\\n    v_gamma_scale = perspective_scale * squish_scale;\\n}\\n\"},outline:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\n#pragma mapbox: define lowp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\n\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp vec4 outline_color\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    float dist = length(v_pos - gl_FragCoord.xy);\\n    float alpha = smoothstep(1.0, 0.0, dist);\\n    gl_FragColor = outline_color * (alpha * opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nattribute vec2 a_pos;\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_world;\\n\\nvarying vec2 v_pos;\\n\\n#pragma mapbox: define lowp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\n\\nvoid main() {\\n    #pragma mapbox: initialize lowp vec4 outline_color\\n    #pragma mapbox: initialize lowp float opacity\\n\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    v_pos = (gl_Position.xy / gl_Position.w + 1.0) / 2.0 * u_world;\\n}\\n\"},outlinepattern:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_opacity;\\nuniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform float u_mix;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    vec2 imagecoord = mod(v_pos_a, 1.0);\\n    vec2 pos = mix(u_pattern_tl_a, u_pattern_br_a, imagecoord);\\n    vec4 color1 = texture2D(u_image, pos);\\n\\n    vec2 imagecoord_b = mod(v_pos_b, 1.0);\\n    vec2 pos2 = mix(u_pattern_tl_b, u_pattern_br_b, imagecoord_b);\\n    vec4 color2 = texture2D(u_image, pos2);\\n\\n    // find distance to outline for alpha interpolation\\n\\n    float dist = length(v_pos - gl_FragCoord.xy);\\n    float alpha = smoothstep(1.0, 0.0, dist);\\n    \\n\\n    gl_FragColor = mix(color1, color2, u_mix) * alpha * u_opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pixel_coord_upper;\\nuniform vec2 u_pixel_coord_lower;\\nuniform float u_scale_a;\\nuniform float u_scale_b;\\nuniform float u_tile_units_to_pixels;\\n\\nattribute vec2 a_pos;\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_world;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\nvarying vec2 v_pos;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    vec2 scaled_size_a = u_scale_a * u_pattern_size_a;\\n    vec2 scaled_size_b = u_scale_b * u_pattern_size_b;\\n\\n    // the correct offset needs to be calculated.\\n    //\\n    // The offset depends on how many pixels are between the world origin and\\n    // the edge of the tile:\\n    // vec2 offset = mod(pixel_coord, size)\\n    //\\n    // At high zoom levels there are a ton of pixels between the world origin\\n    // and the edge of the tile. The glsl spec only guarantees 16 bits of\\n    // precision for highp floats. We need more than that.\\n    //\\n    // The pixel_coord is passed in as two 16 bit values:\\n    // pixel_coord_upper = floor(pixel_coord / 2^16)\\n    // pixel_coord_lower = mod(pixel_coord, 2^16)\\n    //\\n    // The offset is calculated in a series of steps that should preserve this precision:\\n    vec2 offset_a = mod(mod(mod(u_pixel_coord_upper, scaled_size_a) * 256.0, scaled_size_a) * 256.0 + u_pixel_coord_lower, scaled_size_a);\\n    vec2 offset_b = mod(mod(mod(u_pixel_coord_upper, scaled_size_b) * 256.0, scaled_size_b) * 256.0 + u_pixel_coord_lower, scaled_size_b);\\n\\n    v_pos_a = (u_tile_units_to_pixels * a_pos + offset_a) / scaled_size_a;\\n    v_pos_b = (u_tile_units_to_pixels * a_pos + offset_b) / scaled_size_b;\\n\\n    v_pos = (gl_Position.xy / gl_Position.w + 1.0) / 2.0 * u_world;\\n}\\n\"},pattern:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_opacity;\\nuniform vec2 u_pattern_tl_a;\\nuniform vec2 u_pattern_br_a;\\nuniform vec2 u_pattern_tl_b;\\nuniform vec2 u_pattern_br_b;\\nuniform float u_mix;\\n\\nuniform sampler2D u_image;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\n\\nvoid main() {\\n\\n    vec2 imagecoord = mod(v_pos_a, 1.0);\\n    vec2 pos = mix(u_pattern_tl_a, u_pattern_br_a, imagecoord);\\n    vec4 color1 = texture2D(u_image, pos);\\n\\n    vec2 imagecoord_b = mod(v_pos_b, 1.0);\\n    vec2 pos2 = mix(u_pattern_tl_b, u_pattern_br_b, imagecoord_b);\\n    vec4 color2 = texture2D(u_image, pos2);\\n\\n    gl_FragColor = mix(color1, color2, u_mix) * u_opacity;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_pattern_size_a;\\nuniform vec2 u_pattern_size_b;\\nuniform vec2 u_pixel_coord_upper;\\nuniform vec2 u_pixel_coord_lower;\\nuniform float u_scale_a;\\nuniform float u_scale_b;\\nuniform float u_tile_units_to_pixels;\\n\\nattribute vec2 a_pos;\\n\\nvarying vec2 v_pos_a;\\nvarying vec2 v_pos_b;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    vec2 scaled_size_a = u_scale_a * u_pattern_size_a;\\n    vec2 scaled_size_b = u_scale_b * u_pattern_size_b;\\n\\n    // the correct offset needs to be calculated.\\n    //\\n    // The offset depends on how many pixels are between the world origin and\\n    // the edge of the tile:\\n    // vec2 offset = mod(pixel_coord, size)\\n    //\\n    // At high zoom levels there are a ton of pixels between the world origin\\n    // and the edge of the tile. The glsl spec only guarantees 16 bits of\\n    // precision for highp floats. We need more than that.\\n    //\\n    // The pixel_coord is passed in as two 16 bit values:\\n    // pixel_coord_upper = floor(pixel_coord / 2^16)\\n    // pixel_coord_lower = mod(pixel_coord, 2^16)\\n    //\\n    // The offset is calculated in a series of steps that should preserve this precision:\\n    vec2 offset_a = mod(mod(mod(u_pixel_coord_upper, scaled_size_a) * 256.0, scaled_size_a) * 256.0 + u_pixel_coord_lower, scaled_size_a);\\n    vec2 offset_b = mod(mod(mod(u_pixel_coord_upper, scaled_size_b) * 256.0, scaled_size_b) * 256.0 + u_pixel_coord_lower, scaled_size_b);\\n\\n    v_pos_a = (u_tile_units_to_pixels * a_pos + offset_a) / scaled_size_a;\\n    v_pos_b = (u_tile_units_to_pixels * a_pos + offset_b) / scaled_size_b;\\n}\\n\"},raster:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_opacity0;\\nuniform float u_opacity1;\\nuniform sampler2D u_image0;\\nuniform sampler2D u_image1;\\nvarying vec2 v_pos0;\\nvarying vec2 v_pos1;\\n\\nuniform float u_brightness_low;\\nuniform float u_brightness_high;\\n\\nuniform float u_saturation_factor;\\nuniform float u_contrast_factor;\\nuniform vec3 u_spin_weights;\\n\\nvoid main() {\\n\\n    // read and cross-fade colors from the main and parent tiles\\n    vec4 color0 = texture2D(u_image0, v_pos0);\\n    vec4 color1 = texture2D(u_image1, v_pos1);\\n    vec4 color = color0 * u_opacity0 + color1 * u_opacity1;\\n    vec3 rgb = color.rgb;\\n\\n    // spin\\n    rgb = vec3(\\n        dot(rgb, u_spin_weights.xyz),\\n        dot(rgb, u_spin_weights.zxy),\\n        dot(rgb, u_spin_weights.yzx));\\n\\n    // saturation\\n    float average = (color.r + color.g + color.b) / 3.0;\\n    rgb += (average - rgb) * u_saturation_factor;\\n\\n    // contrast\\n    rgb = (rgb - 0.5) * u_contrast_factor + 0.5;\\n\\n    // brightness\\n    vec3 u_high_vec = vec3(u_brightness_low, u_brightness_low, u_brightness_low);\\n    vec3 u_low_vec = vec3(u_brightness_high, u_brightness_high, u_brightness_high);\\n\\n    gl_FragColor = vec4(mix(u_high_vec, u_low_vec, rgb), color.a);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform mat4 u_matrix;\\nuniform vec2 u_tl_parent;\\nuniform float u_scale_parent;\\nuniform float u_buffer_scale;\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_texture_pos;\\n\\nvarying vec2 v_pos0;\\nvarying vec2 v_pos1;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos, 0, 1);\\n    v_pos0 = (((a_texture_pos / 32767.0) - 0.5) / u_buffer_scale ) + 0.5;\\n    v_pos1 = (v_pos0 * u_scale_parent) + u_tl_parent;\\n}\\n\"},icon:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform sampler2D u_texture;\\nuniform sampler2D u_fadetexture;\\nuniform lowp float u_opacity;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\n\\nvoid main() {\\n    lowp float alpha = texture2D(u_fadetexture, v_fade_tex).a * u_opacity;\\n    gl_FragColor = texture2D(u_texture, v_tex) * alpha;\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_offset;\\nattribute vec2 a_texture_pos;\\nattribute vec4 a_data;\\n\\n\\n// matrix is for the vertex position.\\nuniform mat4 u_matrix;\\n\\nuniform mediump float u_zoom;\\nuniform bool u_rotate_with_map;\\nuniform vec2 u_extrude_scale;\\n\\nuniform vec2 u_texsize;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\n\\nvoid main() {\\n    vec2 a_tex = a_texture_pos.xy;\\n    mediump float a_labelminzoom = a_data[0];\\n    mediump vec2 a_zoom = a_data.pq;\\n    mediump float a_minzoom = a_zoom[0];\\n    mediump float a_maxzoom = a_zoom[1];\\n\\n    // u_zoom is the current zoom level adjusted for the change in font size\\n    mediump float z = 2.0 - step(a_minzoom, u_zoom) - (1.0 - step(a_maxzoom, u_zoom));\\n\\n    vec2 extrude = u_extrude_scale * (a_offset / 64.0);\\n    if (u_rotate_with_map) {\\n        gl_Position = u_matrix * vec4(a_pos + extrude, 0, 1);\\n        gl_Position.z += z * gl_Position.w;\\n    } else {\\n        gl_Position = u_matrix * vec4(a_pos, 0, 1) + vec4(extrude, 0, 0);\\n    }\\n\\n    v_tex = a_tex / u_texsize;\\n    v_fade_tex = vec2(a_labelminzoom / 255.0, 0.0);\\n}\\n\"},sdf:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform sampler2D u_texture;\\nuniform sampler2D u_fadetexture;\\nuniform lowp vec4 u_color;\\nuniform lowp float u_opacity;\\nuniform lowp float u_buffer;\\nuniform lowp float u_gamma;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    lowp float dist = texture2D(u_texture, v_tex).a;\\n    lowp float fade_alpha = texture2D(u_fadetexture, v_fade_tex).a;\\n    lowp float gamma = u_gamma * v_gamma_scale;\\n    lowp float alpha = smoothstep(u_buffer - gamma, u_buffer + gamma, dist) * fade_alpha;\\n\\n    gl_FragColor = u_color * (alpha * u_opacity);\\n\\n#ifdef OVERDRAW_INSPECTOR\\n    gl_FragColor = vec4(1.0);\\n#endif\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nconst float PI = 3.141592653589793;\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_offset;\\nattribute vec2 a_texture_pos;\\nattribute vec4 a_data;\\n\\n\\n// matrix is for the vertex position.\\nuniform mat4 u_matrix;\\n\\nuniform mediump float u_zoom;\\nuniform bool u_rotate_with_map;\\nuniform bool u_pitch_with_map;\\nuniform mediump float u_pitch;\\nuniform mediump float u_bearing;\\nuniform mediump float u_aspect_ratio;\\nuniform vec2 u_extrude_scale;\\n\\nuniform vec2 u_texsize;\\n\\nvarying vec2 v_tex;\\nvarying vec2 v_fade_tex;\\nvarying float v_gamma_scale;\\n\\nvoid main() {\\n    vec2 a_tex = a_texture_pos.xy;\\n    mediump float a_labelminzoom = a_data[0];\\n    mediump vec2 a_zoom = a_data.pq;\\n    mediump float a_minzoom = a_zoom[0];\\n    mediump float a_maxzoom = a_zoom[1];\\n\\n    // u_zoom is the current zoom level adjusted for the change in font size\\n    mediump float z = 2.0 - step(a_minzoom, u_zoom) - (1.0 - step(a_maxzoom, u_zoom));\\n\\n    // pitch-alignment: map\\n    // rotation-alignment: map | viewport\\n    if (u_pitch_with_map) {\\n        lowp float angle = u_rotate_with_map ? (a_data[1] / 256.0 * 2.0 * PI) : u_bearing;\\n        lowp float asin = sin(angle);\\n        lowp float acos = cos(angle);\\n        mat2 RotationMatrix = mat2(acos, asin, -1.0 * asin, acos);\\n        vec2 offset = RotationMatrix * a_offset;\\n        vec2 extrude = u_extrude_scale * (offset / 64.0);\\n        gl_Position = u_matrix * vec4(a_pos + extrude, 0, 1);\\n        gl_Position.z += z * gl_Position.w;\\n    // pitch-alignment: viewport\\n    // rotation-alignment: map\\n    } else if (u_rotate_with_map) {\\n        // foreshortening factor to apply on pitched maps\\n        // as a label goes from horizontal <=> vertical in angle\\n        // it goes from 0% foreshortening to up to around 70% foreshortening\\n        lowp float pitchfactor = 1.0 - cos(u_pitch * sin(u_pitch * 0.75));\\n\\n        lowp float lineangle = a_data[1] / 256.0 * 2.0 * PI;\\n\\n        // use the lineangle to position points a,b along the line\\n        // project the points and calculate the label angle in projected space\\n        // this calculation allows labels to be rendered unskewed on pitched maps\\n        vec4 a = u_matrix * vec4(a_pos, 0, 1);\\n        vec4 b = u_matrix * vec4(a_pos + vec2(cos(lineangle),sin(lineangle)), 0, 1);\\n        lowp float angle = atan((b[1]/b[3] - a[1]/a[3])/u_aspect_ratio, b[0]/b[3] - a[0]/a[3]);\\n        lowp float asin = sin(angle);\\n        lowp float acos = cos(angle);\\n        mat2 RotationMatrix = mat2(acos, -1.0 * asin, asin, acos);\\n\\n        vec2 offset = RotationMatrix * (vec2((1.0-pitchfactor)+(pitchfactor*cos(angle*2.0)), 1.0) * a_offset);\\n        vec2 extrude = u_extrude_scale * (offset / 64.0);\\n        gl_Position = u_matrix * vec4(a_pos, 0, 1) + vec4(extrude, 0, 0);\\n        gl_Position.z += z * gl_Position.w;\\n    // pitch-alignment: viewport\\n    // rotation-alignment: viewport\\n    } else {\\n        vec2 extrude = u_extrude_scale * (a_offset / 64.0);\\n        gl_Position = u_matrix * vec4(a_pos, 0, 1) + vec4(extrude, 0, 0);\\n    }\\n\\n    v_gamma_scale = (gl_Position.w - 0.5);\\n\\n    v_tex = a_tex / u_texsize;\\n    v_fade_tex = vec2(a_labelminzoom / 255.0, 0.0);\\n}\\n\"},collisionbox:{fragmentSource:\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nuniform float u_zoom;\\nuniform float u_maxzoom;\\n\\nvarying float v_max_zoom;\\nvarying float v_placement_zoom;\\n\\nvoid main() {\\n\\n    float alpha = 0.5;\\n\\n    gl_FragColor = vec4(0.0, 1.0, 0.0, 1.0) * alpha;\\n\\n    if (v_placement_zoom > u_zoom) {\\n        gl_FragColor = vec4(1.0, 0.0, 0.0, 1.0) * alpha;\\n    }\\n\\n    if (u_zoom >= v_max_zoom) {\\n        gl_FragColor = vec4(0.0, 0.0, 0.0, 1.0) * alpha * 0.25;\\n    }\\n\\n    if (v_placement_zoom >= u_maxzoom) {\\n        gl_FragColor = vec4(0.0, 0.0, 1.0, 1.0) * alpha * 0.2;\\n    }\\n}\\n\",vertexSource:\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#define lowp\\n#define mediump\\n#define highp\\n#endif\\n\\nattribute vec2 a_pos;\\nattribute vec2 a_extrude;\\nattribute vec2 a_data;\\n\\nuniform mat4 u_matrix;\\nuniform float u_scale;\\n\\nvarying float v_max_zoom;\\nvarying float v_placement_zoom;\\n\\nvoid main() {\\n    gl_Position = u_matrix * vec4(a_pos + a_extrude / u_scale, 0.0, 1.0);\\n\\n    v_max_zoom = a_data.x;\\n    v_placement_zoom = a_data.y;\\n}\\n\"}},e.exports.util=\"float evaluate_zoom_function_1(const vec4 values, const float t) {\\n    if (t < 1.0) {\\n        return mix(values[0], values[1], t);\\n    } else if (t < 2.0) {\\n        return mix(values[1], values[2], t - 1.0);\\n    } else {\\n        return mix(values[2], values[3], t - 2.0);\\n    }\\n}\\nvec4 evaluate_zoom_function_4(const vec4 value0, const vec4 value1, const vec4 value2, const vec4 value3, const float t) {\\n    if (t < 1.0) {\\n        return mix(value0, value1, t);\\n    } else if (t < 2.0) {\\n        return mix(value1, value2, t - 1.0);\\n    } else {\\n        return 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s=t(\"feature-filter\"),l=t(\"./array_group\"),u=t(\"./buffer_group\"),c=t(\"../util/util\"),h=t(\"../util/struct_array\"),f=t(\"assert\");e.exports=n,n.create=function(e){return new({fill:t(\"./bucket/fill_bucket\"),line:t(\"./bucket/line_bucket\"),circle:t(\"./bucket/circle_bucket\"),symbol:t(\"./bucket/symbol_bucket\")}[e.layer.type])(e)},n.EXTENT=8192,n.prototype.populateArrays=function(){this.createArrays(),this.recalculateStyleLayers();for(var t=0;t<this.features.length;t++)this.addFeature(this.features[t]);this.trimArrays()},n.prototype.prepareArrayGroup=function(t,e){var r=this.arrayGroups[t],n=r.length&&r[r.length-1];return n&&n.hasCapacityFor(e)||(n=new l({layoutVertexArrayType:this.programInterfaces[t].layoutVertexArrayType,elementArrayType:this.programInterfaces[t].elementArrayType,elementArrayType2:this.programInterfaces[t].elementArrayType2,paintVertexArrayTypes:this.paintVertexArrayTypes[t]}),n.index=r.length,r.push(n)),n},n.prototype.createArrays=function(){this.arrayGroups={},this.paintVertexArrayTypes={};for(var t in this.programInterfaces){this.arrayGroups[t]=[];var e=this.paintVertexArrayTypes[t]={},r=this.paintAttributes[t];for(var i in r)e[i]=new n.VertexArrayType(r[i].attributes)}},n.prototype.destroy=function(t){for(var e in this.bufferGroups)for(var r=this.bufferGroups[e],n=0;n<r.length;n++)r[n].destroy(t)},n.prototype.trimArrays=function(){for(var t in this.arrayGroups)for(var e=this.arrayGroups[t],r=0;r<e.length;r++)e[r].trim()},n.prototype.isEmpty=function(){for(var t in this.arrayGroups)for(var e=this.arrayGroups[t],r=0;r<e.length;r++)if(!e[r].isEmpty())return!1;return!0},n.prototype.getTransferables=function(t){for(var e in this.arrayGroups)for(var r=this.arrayGroups[e],n=0;n<r.length;n++)r[n].getTransferables(t)},n.prototype.setUniforms=function(t,e,r,n,i){for(var a=this.paintAttributes[e][n.id].uniforms,o=0;o<a.length;o++){var s=a[o],l=r[s.name];t[\"uniform\"+s.components+\"fv\"](l,s.getValue(n,i))}},n.prototype.serialize=function(){return{layerId:this.layer.id,zoom:this.zoom,arrays:c.mapObject(this.arrayGroups,function(t){return t.map(function(t){return t.serialize()})}),paintVertexArrayTypes:c.mapObject(this.paintVertexArrayTypes,function(t){return c.mapObject(t,function(t){return t.serialize()})}),childLayerIds:this.childLayers.map(function(t){return t.id})}},n.prototype.createFilter=function(){this.filter||(this.filter=s(this.layer.filter))};var d={lastIntegerZoom:1/0,lastIntegerZoomTime:0,lastZoom:0};n.prototype.recalculateStyleLayers=function(){for(var t=0;t<this.childLayers.length;t++)this.childLayers[t].recalculate(this.zoom,d)},n.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a=0;a<this.childLayers.length;a++)for(var o=this.childLayers[a],s=this.arrayGroups[t],l=n.index;l<s.length;l++){var u=s[l],c=u.layoutVertexArray.length,h=u.paintVertexArrays[o.id];h.resize(c);for(var f=this.paintAttributes[t][o.id].attributes,d=0;d<f.length;d++)for(var p=f[d],m=p.getValue(o,e,r),v=p.multiplier||1,g=p.components||1,y=l===n.index?i:0,b=y;b<c;b++)for(var x=h.get(b),_=0;_<g;_++){var w=g>1?p.name+_:p.name;x[w]=m[_]*v}}},n.VertexArrayType=function(t){return new h({members:t,alignment:4})},n.ElementArrayType=function(t){return new h({members:[{type:\"Uint16\",name:\"vertices\",components:t||3}]})}},{\"../util/struct_array\":440,\"../util/util\":442,\"./array_group\":328,\"./bucket/circle_bucket\":330,\"./bucket/fill_bucket\":331,\"./bucket/line_bucket\":332,\"./bucket/symbol_bucket\":333,\"./buffer_group\":335,assert:47,\"feature-filter\":132}],330:[function(t,e,r){\"use strict\";function n(){i.apply(this,arguments)}var i=t(\"../bucket\"),a=t(\"../../util/util\"),o=t(\"../load_geometry\"),s=i.EXTENT;e.exports=n,n.prototype=a.inherit(i,{}),n.prototype.addCircleVertex=function(t,e,r,n,i){return t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)},n.prototype.programInterfaces={circle:{layoutVertexArrayType:new i.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"}]),elementArrayType:new i.ElementArrayType,paintAttributes:[{name:\"a_color\",components:4,type:\"Uint8\",getValue:function(t,e,r){return t.getPaintValue(\"circle-color\",e,r)},multiplier:255,paintProperty:\"circle-color\"},{name:\"a_radius\",components:1,type:\"Uint16\",isLayerConstant:!1,getValue:function(t,e,r){return[t.getPaintValue(\"circle-radius\",e,r)]},multiplier:10,paintProperty:\"circle-radius\"},{name:\"a_blur\",components:1,type:\"Uint16\",isLayerConstant:!1,getValue:function(t,e,r){return[t.getPaintValue(\"circle-blur\",e,r)]},multiplier:10,paintProperty:\"circle-blur\"},{name:\"a_opacity\",components:1,type:\"Uint16\",isLayerConstant:!1,getValue:function(t,e,r){return[t.getPaintValue(\"circle-opacity\",e,r)]},multiplier:255,paintProperty:\"circle-opacity\"}]}},n.prototype.addFeature=function(t){for(var e={zoom:this.zoom},r=o(t),n=this.prepareArrayGroup(\"circle\",0),i=n.layoutVertexArray.length,a=0;a<r.length;a++)for(var l=0;l<r[a].length;l++){var u=r[a][l].x,c=r[a][l].y;if(!(u<0||u>=s||c<0||c>=s)){var h=this.prepareArrayGroup(\"circle\",4),f=h.layoutVertexArray,d=this.addCircleVertex(f,u,c,-1,-1);this.addCircleVertex(f,u,c,1,-1),this.addCircleVertex(f,u,c,1,1),this.addCircleVertex(f,u,c,-1,1),h.elementArray.emplaceBack(d,d+1,d+2),h.elementArray.emplaceBack(d,d+3,d+2)}}this.populatePaintArrays(\"circle\",e,t.properties,n,i)}},{\"../../util/util\":442,\"../bucket\":329,\"../load_geometry\":337}],331:[function(t,e,r){\"use strict\";function n(){i.apply(this,arguments)}var i=t(\"../bucket\"),a=t(\"../../util/util\"),o=t(\"../load_geometry\"),s=t(\"earcut\"),l=t(\"../../util/classify_rings\");e.exports=n,n.prototype=a.inherit(i,{}),n.prototype.programInterfaces={fill:{layoutVertexArrayType:new i.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"}]),elementArrayType:new i.ElementArrayType(1),elementArrayType2:new i.ElementArrayType(2),paintAttributes:[{name:\"a_color\",components:4,type:\"Uint8\",getValue:function(t,e,r){return t.getPaintValue(\"fill-color\",e,r)},multiplier:255,paintProperty:\"fill-color\"},{name:\"a_outline_color\",components:4,type:\"Uint8\",getValue:function(t,e,r){return t.getPaintValue(\"fill-outline-color\",e,r)},multiplier:255,paintProperty:\"fill-outline-color\"},{name:\"a_opacity\",components:1,type:\"Uint8\",getValue:function(t,e,r){return[t.getPaintValue(\"fill-opacity\",e,r)]},multiplier:255,paintProperty:\"fill-opacity\"}]}},n.prototype.addFeature=function(t){for(var e=o(t),r=l(e,500),n=this.prepareArrayGroup(\"fill\",0),i=n.layoutVertexArray.length,a=0;a<r.length;a++)this.addPolygon(r[a]);this.populatePaintArrays(\"fill\",{zoom:this.zoom},t.properties,n,i)},n.prototype.addPolygon=function(t){for(var e=0,r=0;r<t.length;r++)e+=t[r].length;for(var n=this.prepareArrayGroup(\"fill\",e),i=[],a=[],o=n.layoutVertexArray.length,l=0;l<t.length;l++){var u=t[l];l>0&&a.push(i.length/2);for(var c=0;c<u.length;c++){var h=u[c],f=n.layoutVertexArray.emplaceBack(h.x,h.y);c>=1&&n.elementArray2.emplaceBack(f-1,f),i.push(h.x),i.push(h.y)}}for(var d=s(i,a),p=0;p<d.length;p++)n.elementArray.emplaceBack(d[p]+o)}},{\"../../util/classify_rings\":430,\"../../util/util\":442,\"../bucket\":329,\"../load_geometry\":337,earcut:126}],332:[function(t,e,r){\"use strict\";function n(){i.apply(this,arguments)}var i=t(\"../bucket\"),a=t(\"../../util/util\"),o=t(\"../load_geometry\"),s=i.EXTENT,l=Math.cos(Math.PI/180*37.5),u=Math.pow(2,14)/.5;e.exports=n,n.prototype=a.inherit(i,{}),n.prototype.addLineVertex=function(t,e,r,n,i,a,o){return t.emplaceBack(e.x<<1|n,e.y<<1|i,Math.round(63*r.x)+128,Math.round(63*r.y)+128,1+(0===a?0:a<0?-1:1)|(.5*o&63)<<2,.5*o>>6)},n.prototype.programInterfaces={line:{layoutVertexArrayType:new i.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}]),elementArrayType:new i.ElementArrayType}},n.prototype.addFeature=function(t){for(var e=o(t,15),r=0;r<e.length;r++)this.addLine(e[r],this.layer.layout[\"line-join\"],this.layer.layout[\"line-cap\"],this.layer.layout[\"line-miter-limit\"],this.layer.layout[\"line-round-limit\"])},n.prototype.addLine=function(t,e,r,n,i){for(var a=t.length;a>2&&t[a-1].equals(t[a-2]);)a--;if(!(t.length<2)){\"bevel\"===e&&(n=1.05);var o=s/(512*this.overscaling)*15,u=t[0],c=t[a-1],h=u.equals(c);if(this.prepareArrayGroup(\"line\",10*a),2!==a||!h){this.distance=0;var f,d,p,m,v,g,y,b=r,x=h?\"butt\":r,_=!0;this.e1=this.e2=this.e3=-1,h&&(f=t[a-2],v=u.sub(f)._unit()._perp());for(var w=0;w<a;w++)if(!(p=h&&w===a-1?t[1]:t[w+1])||!t[w].equals(p)){v&&(m=v),f&&(d=f),f=t[w],v=p?p.sub(f)._unit()._perp():m,m=m||v;var M=m.add(v)._unit(),k=M.x*v.x+M.y*v.y,A=1/k,T=k<l&&d&&p;if(T&&w>0){var S=f.dist(d);if(S>2*o){var E=f.sub(f.sub(d)._mult(o/S)._round());this.distance+=E.dist(d),this.addCurrentVertex(E,this.distance,m.mult(1),0,0,!1),d=E}}var L=d&&p,C=L?e:p?b:x;if(L&&\"round\"===C&&(A<i?C=\"miter\":A<=2&&(C=\"fakeround\")),\"miter\"===C&&A>n&&(C=\"bevel\"),\"bevel\"===C&&(A>2&&(C=\"flipbevel\"),A<n&&(C=\"miter\")),d&&(this.distance+=f.dist(d)),\"miter\"===C)M._mult(A),this.addCurrentVertex(f,this.distance,M,0,0,!1);else if(\"flipbevel\"===C){if(A>100)M=v.clone();else{var I=m.x*v.y-m.y*v.x>0?-1:1,z=A*m.add(v).mag()/m.sub(v).mag();M._perp()._mult(z*I)}this.addCurrentVertex(f,this.distance,M,0,0,!1),this.addCurrentVertex(f,this.distance,M.mult(-1),0,0,!1)}else if(\"bevel\"===C||\"fakeround\"===C){var D=m.x*v.y-m.y*v.x>0,P=-Math.sqrt(A*A-1);if(D?(y=0,g=P):(g=0,y=P),_||this.addCurrentVertex(f,this.distance,m,g,y,!1),\"fakeround\"===C){for(var O,R=Math.floor(8*(.5-(k-.5))),F=0;F<R;F++)O=v.mult((F+1)/(R+1))._add(m)._unit(),this.addPieSliceVertex(f,this.distance,O,D);this.addPieSliceVertex(f,this.distance,M,D);for(var j=R-1;j>=0;j--)O=m.mult((j+1)/(R+1))._add(v)._unit(),this.addPieSliceVertex(f,this.distance,O,D)}p&&this.addCurrentVertex(f,this.distance,v,-g,-y,!1)}else\"butt\"===C?(_||this.addCurrentVertex(f,this.distance,m,0,0,!1),p&&this.addCurrentVertex(f,this.distance,v,0,0,!1)):\"square\"===C?(_||(this.addCurrentVertex(f,this.distance,m,1,1,!1),this.e1=this.e2=-1),p&&this.addCurrentVertex(f,this.distance,v,-1,-1,!1)):\"round\"===C&&(_||(this.addCurrentVertex(f,this.distance,m,0,0,!1),this.addCurrentVertex(f,this.distance,m,1,1,!0),this.e1=this.e2=-1),p&&(this.addCurrentVertex(f,this.distance,v,-1,-1,!0),this.addCurrentVertex(f,this.distance,v,0,0,!1)));if(T&&w<a-1){var N=f.dist(p);if(N>2*o){var B=f.add(p.sub(f)._mult(o/N)._round());this.distance+=B.dist(f),this.addCurrentVertex(B,this.distance,v.mult(1),0,0,!1),f=B}}_=!1}}}},n.prototype.addCurrentVertex=function(t,e,r,n,i,a){var o,s=a?1:0,l=this.arrayGroups.line[this.arrayGroups.line.length-1],c=l.layoutVertexArray,h=l.elementArray;o=r.clone(),n&&o._sub(r.perp()._mult(n)),this.e3=this.addLineVertex(c,t,o,s,0,n,e),this.e1>=0&&this.e2>=0&&h.emplaceBack(this.e1,this.e2,this.e3),this.e1=this.e2,this.e2=this.e3,o=r.mult(-1),i&&o._sub(r.perp()._mult(i)),this.e3=this.addLineVertex(c,t,o,s,1,-i,e),this.e1>=0&&this.e2>=0&&h.emplaceBack(this.e1,this.e2,this.e3),this.e1=this.e2,this.e2=this.e3,e>u/2&&(this.distance=0,this.addCurrentVertex(t,this.distance,r,n,i,a))},n.prototype.addPieSliceVertex=function(t,e,r,n){var i=n?1:0;r=r.mult(n?-1:1);var a=this.arrayGroups.line[this.arrayGroups.line.length-1],o=a.layoutVertexArray,s=a.elementArray;this.e3=this.addLineVertex(o,t,r,0,i,0,e),this.e1>=0&&this.e2>=0&&s.emplaceBack(this.e1,this.e2,this.e3),n?this.e2=this.e3:this.e1=this.e3}},{\"../../util/util\":442,\"../bucket\":329,\"../load_geometry\":337}],333:[function(t,e,r){\"use strict\";function n(t){o.apply(this,arguments),this.showCollisionBoxes=t.showCollisionBoxes,this.overscaling=t.overscaling,this.collisionBoxArray=t.collisionBoxArray,this.symbolQuadsArray=t.symbolQuadsArray,this.symbolInstancesArray=t.symbolInstancesArray,this.sdfIcons=t.sdfIcons,this.iconsNeedLinear=t.iconsNeedLinear,this.adjustedTextSize=t.adjustedTextSize,this.adjustedIconSize=t.adjustedIconSize,this.fontstack=t.fontstack}function i(t,e,r,n,i,a,o,s,l,u,c){return t.emplaceBack(e,r,Math.round(64*n),Math.round(64*i),a/4,o/4,10*(u||0),c,10*(s||0),10*Math.min(l||25,25))}var a=t(\"point-geometry\"),o=t(\"../bucket\"),s=t(\"../../symbol/anchor\"),l=t(\"../../symbol/get_anchors\"),u=t(\"../../util/token\"),c=t(\"../../symbol/quads\"),h=t(\"../../symbol/shaping\"),f=t(\"../../symbol/resolve_text\"),d=t(\"../../symbol/mergelines\"),p=t(\"../../symbol/clip_line\"),m=t(\"../../util/util\"),v=t(\"../load_geometry\"),g=t(\"../../symbol/collision_feature\"),y=h.shapeText,b=h.shapeIcon,x=c.getGlyphQuads,_=c.getIconQuads,w=o.EXTENT;e.exports=n,n.MAX_QUADS=65535,n.prototype=m.inherit(o,{}),n.prototype.serialize=function(){var t=o.prototype.serialize.apply(this);return t.sdfIcons=this.sdfIcons,t.iconsNeedLinear=this.iconsNeedLinear,t.adjustedTextSize=this.adjustedTextSize,t.adjustedIconSize=this.adjustedIconSize,t.fontstack=this.fontstack,t};var M=new o.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_offset\",components:2,type:\"Int16\"},{name:\"a_texture_pos\",components:2,type:\"Uint16\"},{name:\"a_data\",components:4,type:\"Uint8\"}]),k=new o.ElementArrayType;n.prototype.addCollisionBoxVertex=function(t,e,r,n,i){return t.emplaceBack(e.x,e.y,Math.round(r.x),Math.round(r.y),10*n,10*i)},n.prototype.programInterfaces={glyph:{layoutVertexArrayType:M,elementArrayType:k},icon:{layoutVertexArrayType:M,elementArrayType:k},collisionBox:{layoutVertexArrayType:new o.VertexArrayType([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_extrude\",components:2,type:\"Int16\"},{name:\"a_data\",components:2,type:\"Uint8\"}])}},n.prototype.populateArrays=function(t,e,r){var n={lastIntegerZoom:1/0,lastIntegerZoomTime:0,lastZoom:0};this.adjustedTextMaxSize=this.layer.getLayoutValue(\"text-size\",{zoom:18,zoomHistory:n}),this.adjustedTextSize=this.layer.getLayoutValue(\"text-size\",{zoom:this.zoom+1,zoomHistory:n}),this.adjustedIconMaxSize=this.layer.getLayoutValue(\"icon-size\",{zoom:18,zoomHistory:n}),this.adjustedIconSize=this.layer.getLayoutValue(\"icon-size\",{zoom:this.zoom+1,zoomHistory:n});var i=512*this.overscaling;this.tilePixelRatio=w/i,this.compareText={},this.iconsNeedLinear=!1,this.symbolInstancesStartIndex=this.symbolInstancesArray.length;var a=this.layer.layout,o=this.features,s=this.textFeatures,l=.5,c=.5;switch(a[\"text-anchor\"]){case\"right\":case\"top-right\":case\"bottom-right\":l=1;break;case\"left\":case\"top-left\":case\"bottom-left\":l=0}switch(a[\"text-anchor\"]){case\"bottom\":case\"bottom-right\":case\"bottom-left\":c=1;break;case\"top\":case\"top-right\":case\"top-left\":c=0}for(var h=\"right\"===a[\"text-justify\"]?1:\"left\"===a[\"text-justify\"]?0:.5,f=24*a[\"text-line-height\"],p=\"line\"!==a[\"symbol-placement\"]?24*a[\"text-max-width\"]:0,g=24*a[\"text-letter-spacing\"],x=[24*a[\"text-offset\"][0],24*a[\"text-offset\"][1]],_=this.fontstack=a[\"text-font\"].join(\",\"),M=[],k=0;k<o.length;k++)M.push(v(o[k]));if(\"line\"===a[\"symbol-placement\"]){var A=d(o,s,M);M=A.geometries,o=A.features,s=A.textFeatures}for(var T,S,E=0;E<o.length;E++)if(M[E]){if(T=s[E]?y(s[E],e[_],p,f,l,c,h,g,x):null,a[\"icon-image\"]){var L=u(o[E].properties,a[\"icon-image\"]),C=r[L];S=b(C,a),C&&(void 0===this.sdfIcons?this.sdfIcons=C.sdf:this.sdfIcons!==C.sdf&&m.warnOnce(\"Style sheet warning: Cannot mix SDF and non-SDF icons in one buffer\"),1!==C.pixelRatio?this.iconsNeedLinear=!0:0===a[\"icon-rotate\"]&&this.layer.isLayoutValueFeatureConstant(\"icon-rotate\")||(this.iconsNeedLinear=!0))}else S=null;(T||S)&&this.addFeature(M[E],T,S,o[E])}this.symbolInstancesEndIndex=this.symbolInstancesArray.length,this.placeFeatures(t,this.showCollisionBoxes),this.trimArrays()},n.prototype.addFeature=function(t,e,r,n){var i=this.layer.layout,a=this.adjustedTextSize/24,o=void 0!==this.adjustedTextMaxSize?this.adjustedTextMaxSize:this.adjustedTextSize,u=this.tilePixelRatio*a,c=this.tilePixelRatio*o/24,h=this.tilePixelRatio*this.adjustedIconSize,f=this.tilePixelRatio*i[\"symbol-spacing\"],d=i[\"symbol-avoid-edges\"],m=i[\"text-padding\"]*this.tilePixelRatio,v=i[\"icon-padding\"]*this.tilePixelRatio,g=i[\"text-max-angle\"]/180*Math.PI,y=\"map\"===i[\"text-rotation-alignment\"]&&\"line\"===i[\"symbol-placement\"],b=\"map\"===i[\"icon-rotation-alignment\"]&&\"line\"===i[\"symbol-placement\"],x=i[\"text-allow-overlap\"]||i[\"icon-allow-overlap\"]||i[\"text-ignore-placement\"]||i[\"icon-ignore-placement\"],_=\"line\"===i[\"symbol-placement\"],M=f/2;_&&(t=p(t,0,0,w,w));for(var k=0;k<t.length;k++){var A,T=t[k];A=_?l(T,f,g,e,r,24,c,this.overscaling,w):[new s(T[0].x,T[0].y,0)];for(var S=0,E=A.length;S<E;S++){var L=A[S];if(!(e&&_&&this.anchorIsTooClose(e.text,M,L))){var C=!(L.x<0||L.x>w||L.y<0||L.y>w);if(!d||C){var I=C||x;this.addSymbolInstance(L,T,e,r,this.layer,I,this.symbolInstancesArray.length,this.collisionBoxArray,n.index,this.sourceLayerIndex,this.index,u,m,y,h,v,b,{zoom:this.zoom},n.properties)}}}}},n.prototype.anchorIsTooClose=function(t,e,r){var n=this.compareText;if(t in n){for(var i=n[t],a=i.length-1;a>=0;a--)if(r.dist(i[a])<e)return!0}else n[t]=[];return n[t].push(r),!1},n.prototype.placeFeatures=function(t,e){this.recalculateStyleLayers(),this.createArrays();var r=this.layer.layout,n=t.maxScale,i=\"map\"===r[\"text-rotation-alignment\"]&&\"line\"===r[\"symbol-placement\"],a=\"map\"===r[\"icon-rotation-alignment\"]&&\"line\"===r[\"symbol-placement\"];if(r[\"text-allow-overlap\"]||r[\"icon-allow-overlap\"]||r[\"text-ignore-placement\"]||r[\"icon-ignore-placement\"]){var o=this.symbolInstancesArray.toArray(this.symbolInstancesStartIndex,this.symbolInstancesEndIndex),s=t.angle,l=Math.sin(s),u=Math.cos(s);this.sortedSymbolInstances=o.sort(function(t,e){return(l*t.anchorPointX+u*t.anchorPointY|0)-(l*e.anchorPointX+u*e.anchorPointY|0)||e.index-t.index})}for(var c=this.symbolInstancesStartIndex;c<this.symbolInstancesEndIndex;c++){var h=this.sortedSymbolInstances?this.sortedSymbolInstances[c-this.symbolInstancesStartIndex]:this.symbolInstancesArray.get(c),f={boxStartIndex:h.textBoxStartIndex,boxEndIndex:h.textBoxEndIndex},d={boxStartIndex:h.iconBoxStartIndex,boxEndIndex:h.iconBoxEndIndex},p=!(h.textBoxStartIndex===h.textBoxEndIndex),m=!(h.iconBoxStartIndex===h.iconBoxEndIndex),v=r[\"text-optional\"]||!p,g=r[\"icon-optional\"]||!m,y=p?t.placeCollisionFeature(f,r[\"text-allow-overlap\"],r[\"symbol-avoid-edges\"]):t.minScale,b=m?t.placeCollisionFeature(d,r[\"icon-allow-overlap\"],r[\"symbol-avoid-edges\"]):t.minScale;v||g?!g&&y?y=Math.max(b,y):!v&&b&&(b=Math.max(b,y)):b=y=Math.max(b,y),p&&(t.insertCollisionFeature(f,y,r[\"text-ignore-placement\"]),y<=n&&this.addSymbols(\"glyph\",h.glyphQuadStartIndex,h.glyphQuadEndIndex,y,r[\"text-keep-upright\"],i,t.angle)),m&&(t.insertCollisionFeature(d,b,r[\"icon-ignore-placement\"]),b<=n&&this.addSymbols(\"icon\",h.iconQuadStartIndex,h.iconQuadEndIndex,b,r[\"icon-keep-upright\"],a,t.angle))}e&&this.addToDebugBuffers(t)},n.prototype.addSymbols=function(t,e,r,n,a,o,s){for(var l=this.prepareArrayGroup(t,4*(r-e)),u=l.elementArray,c=l.layoutVertexArray,h=this.zoom,f=Math.max(Math.log(n)/Math.LN2+h,0),d=e;d<r;d++){var p=this.symbolQuadsArray.get(d).SymbolQuad,m=(p.anchorAngle+s+Math.PI)%(2*Math.PI);if(!(a&&o&&(m<=Math.PI/2||m>3*Math.PI/2))){var v=p.tl,g=p.tr,y=p.bl,b=p.br,x=p.tex,_=p.anchorPoint,w=Math.max(h+Math.log(p.minScale)/Math.LN2,f),M=Math.min(h+Math.log(p.maxScale)/Math.LN2,25);if(!(M<=w)){w===f&&(w=0);var k=Math.round(p.glyphAngle/(2*Math.PI)*256),A=i(c,_.x,_.y,v.x,v.y,x.x,x.y,w,M,f,k);i(c,_.x,_.y,g.x,g.y,x.x+x.w,x.y,w,M,f,k),i(c,_.x,_.y,y.x,y.y,x.x,x.y+x.h,w,M,f,k),i(c,_.x,_.y,b.x,b.y,x.x+x.w,x.y+x.h,w,M,f,k),u.emplaceBack(A,A+1,A+2),u.emplaceBack(A+1,A+2,A+3)}}}},n.prototype.updateIcons=function(t){this.recalculateStyleLayers();var e=this.layer.layout[\"icon-image\"];if(e)for(var r=0;r<this.features.length;r++){var n=u(this.features[r].properties,e);n&&(t[n]=!0)}},n.prototype.updateFont=function(t){this.recalculateStyleLayers();var e=this.layer.layout[\"text-font\"],r=t[e]=t[e]||{};this.textFeatures=f(this.features,this.layer.layout,r)},n.prototype.addToDebugBuffers=function(t){for(var e=this.prepareArrayGroup(\"collisionBox\",0),r=e.layoutVertexArray,n=-t.angle,i=t.yStretch,o=this.symbolInstancesStartIndex;o<this.symbolInstancesEndIndex;o++){var s=this.symbolInstancesArray.get(o);s.textCollisionFeature={boxStartIndex:s.textBoxStartIndex,boxEndIndex:s.textBoxEndIndex},s.iconCollisionFeature={boxStartIndex:s.iconBoxStartIndex,boxEndIndex:s.iconBoxEndIndex};for(var l=0;l<2;l++){var u=s[0===l?\"textCollisionFeature\":\"iconCollisionFeature\"];if(u)for(var c=u.boxStartIndex;c<u.boxEndIndex;c++){var h=this.collisionBoxArray.get(c),f=h.anchorPoint,d=new a(h.x1,h.y1*i)._rotate(n),p=new a(h.x2,h.y1*i)._rotate(n),m=new a(h.x1,h.y2*i)._rotate(n),v=new a(h.x2,h.y2*i)._rotate(n),g=Math.max(0,Math.min(25,this.zoom+Math.log(h.maxScale)/Math.LN2)),y=Math.max(0,Math.min(25,this.zoom+Math.log(h.placementScale)/Math.LN2));this.addCollisionBoxVertex(r,f,d,g,y),this.addCollisionBoxVertex(r,f,p,g,y),this.addCollisionBoxVertex(r,f,p,g,y),this.addCollisionBoxVertex(r,f,v,g,y),this.addCollisionBoxVertex(r,f,v,g,y),this.addCollisionBoxVertex(r,f,m,g,y),this.addCollisionBoxVertex(r,f,m,g,y),this.addCollisionBoxVertex(r,f,d,g,y)}}}},n.prototype.addSymbolInstance=function(t,e,r,i,a,o,s,l,u,c,h,f,d,p,v,y,b,w,M){var k,A,T,S,E,L,C,I;if(r&&(C=o?x(t,r,f,e,a,p):[],E=new g(l,e,t,u,c,h,r,f,d,p,!1)),k=this.symbolQuadsArray.length,C&&C.length)for(var z=0;z<C.length;z++)this.addSymbolQuad(C[z]);A=this.symbolQuadsArray.length;var D=E?E.boxStartIndex:this.collisionBoxArray.length,P=E?E.boxEndIndex:this.collisionBoxArray.length;i&&(I=o?_(t,i,v,e,a,b,r,w,M):[],L=new g(l,e,t,u,c,h,i,v,y,b,!0)),T=this.symbolQuadsArray.length,I&&1===I.length&&this.addSymbolQuad(I[0]),S=this.symbolQuadsArray.length;var O=L?L.boxStartIndex:this.collisionBoxArray.length,R=L?L.boxEndIndex:this.collisionBoxArray.length;return S>n.MAX_QUADS&&m.warnOnce(\"Too many symbols being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\"),A>n.MAX_QUADS&&m.warnOnce(\"Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\"),this.symbolInstancesArray.emplaceBack(D,P,O,R,k,A,T,S,t.x,t.y,s)},n.prototype.addSymbolQuad=function(t){return this.symbolQuadsArray.emplaceBack(t.anchorPoint.x,t.anchorPoint.y,t.tl.x,t.tl.y,t.tr.x,t.tr.y,t.bl.x,t.bl.y,t.br.x,t.br.y,t.tex.h,t.tex.w,t.tex.x,t.tex.y,t.anchorAngle,t.glyphAngle,t.maxScale,t.minScale)}},{\"../../symbol/anchor\":391,\"../../symbol/clip_line\":393,\"../../symbol/collision_feature\":395,\"../../symbol/get_anchors\":397,\"../../symbol/mergelines\":400,\"../../symbol/quads\":401,\"../../symbol/resolve_text\":402,\"../../symbol/shaping\":403,\"../../util/token\":441,\"../../util/util\":442,\"../bucket\":329,\"../load_geometry\":337,\"point-geometry\":484}],334:[function(t,e,r){\"use strict\";function n(t,e,r){this.arrayBuffer=t.arrayBuffer,this.length=t.length,this.attributes=e.members,this.itemSize=e.bytesPerElement,this.type=r,this.arrayType=e}e.exports=n,n.prototype.bind=function(t){var e=t[this.type];this.buffer?t.bindBuffer(e,this.buffer):(this.buffer=t.createBuffer(),t.bindBuffer(e,this.buffer),t.bufferData(e,this.arrayBuffer,t.STATIC_DRAW),this.arrayBuffer=null)};var i={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\"};n.prototype.setVertexAttribPointers=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],a=e[n.name];void 0!==a&&t.vertexAttribPointer(a,n.components,t[i[n.type]],!1,this.arrayType.bytesPerElement,n.offset)}},n.prototype.destroy=function(t){this.buffer&&t.deleteBuffer(this.buffer)},n.BufferType={VERTEX:\"ARRAY_BUFFER\",ELEMENT:\"ELEMENT_ARRAY_BUFFER\"}},{}],335:[function(t,e,r){\"use strict\";function n(t,e){this.layoutVertexBuffer=new a(t.layoutVertexArray,e.layoutVertexArrayType,a.BufferType.VERTEX),t.elementArray&&(this.elementBuffer=new a(t.elementArray,e.elementArrayType,a.BufferType.ELEMENT));var r,n=this.vaos={};t.elementArray2&&(this.elementBuffer2=new a(t.elementArray2,e.elementArrayType2,a.BufferType.ELEMENT),r=this.secondVaos={}),this.paintVertexBuffers=i.mapObject(t.paintVertexArrays,function(i,s){return n[s]=new o,t.elementArray2&&(r[s]=new o),new a(i,e.paintVertexArrayTypes[s],a.BufferType.VERTEX)})}var i=t(\"../util/util\"),a=t(\"./buffer\"),o=t(\"../render/vertex_array_object\");e.exports=n,n.prototype.destroy=function(t){this.layoutVertexBuffer.destroy(t),this.elementBuffer&&this.elementBuffer.destroy(t),this.elementBuffer2&&this.elementBuffer2.destroy(t);for(var e in this.paintVertexBuffers)this.paintVertexBuffers[e].destroy(t);for(var r in this.vaos)this.vaos[r].destroy(t);for(var n in this.secondVaos)this.secondVaos[n].destroy(t)}},{\"../render/vertex_array_object\":357,\"../util/util\":442,\"./buffer\":334}],336:[function(t,e,r){\"use strict\";function n(t,e,r){if(t.grid){var n=t,i=e;t=n.coord,e=n.overscaling,this.grid=new p(n.grid),this.featureIndexArray=new k(n.featureIndexArray),this.rawTileData=i,this.bucketLayerIDs=n.bucketLayerIDs}else this.grid=new p(h,16,0),this.featureIndexArray=new k;this.coord=t,this.overscaling=e,this.x=t.x,this.y=t.y,this.z=t.z-Math.log(e)/Math.LN2,this.setCollisionTile(r)}function i(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function a(t,e){return e-t}function o(t){return t[\"line-gap-width\"]>0?t[\"line-gap-width\"]+2*t[\"line-width\"]:t[\"line-width\"]}function s(t,e,r,n,i){if(!e[0]&&!e[1])return t;e=u.convert(e),\"viewport\"===r&&e._rotate(-n);for(var a=[],o=0;o<t.length;o++){for(var s=t[o],l=[],c=0;c<s.length;c++)l.push(s[c].sub(e._mult(i)));a.push(l)}return a}function l(t,e){for(var r=[],n=new u(0,0),i=0;i<t.length;i++){for(var a=t[i],o=[],s=0;s<a.length;s++){var l=a[s-1],c=a[s],h=a[s+1],f=0===s?n:c.sub(l)._unit()._perp(),d=s===a.length-1?n:h.sub(c)._unit()._perp(),p=f._add(d)._unit(),m=p.x*d.x+p.y*d.y;p._mult(1/m),o.push(p._mult(e)._add(c))}r.push(o)}return r}var u=t(\"point-geometry\"),c=t(\"./load_geometry\"),h=t(\"./bucket\").EXTENT,f=t(\"feature-filter\"),d=t(\"../util/struct_array\"),p=t(\"grid-index\"),m=t(\"../util/dictionary_coder\"),v=t(\"vector-tile\"),g=t(\"pbf\"),y=t(\"../util/vectortile_to_geojson\"),b=t(\"../util/util\").arraysIntersect,x=t(\"../util/intersection_tests\"),_=x.multiPolygonIntersectsBufferedMultiPoint,w=x.multiPolygonIntersectsMultiPolygon,M=x.multiPolygonIntersectsBufferedMultiLine,k=new d({members:[{type:\"Uint32\",name:\"featureIndex\"},{type:\"Uint16\",name:\"sourceLayerIndex\"},{type:\"Uint16\",name:\"bucketIndex\"}]});e.exports=n,n.prototype.insert=function(t,e,r,n){var i=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(e,r,n);for(var a=c(t),o=0;o<a.length;o++){for(var s=a[o],l=[1/0,1/0,-1/0,-1/0],u=0;u<s.length;u++){var h=s[u];l[0]=Math.min(l[0],h.x),l[1]=Math.min(l[1],h.y),l[2]=Math.max(l[2],h.x),l[3]=Math.max(l[3],h.y)}this.grid.insert(i,l[0],l[1],l[2],l[3])}},n.prototype.setCollisionTile=function(t){this.collisionTile=t},n.prototype.serialize=function(){var t={coord:this.coord,overscaling:this.overscaling,grid:this.grid.toArrayBuffer(),featureIndexArray:this.featureIndexArray.serialize(),bucketLayerIDs:this.bucketLayerIDs};return{data:t,transferables:[t.grid,t.featureIndexArray.arrayBuffer]}},n.prototype.query=function(t,e){this.vtLayers||(this.vtLayers=new v.VectorTile(new g(new Uint8Array(this.rawTileData))).layers,this.sourceLayerCoder=new m(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"]));var r={},n=t.params||{},s=h/t.tileSize/t.scale,l=f(n.filter),c=0;for(var d in e){var p=e[d],y=p.paint,b=0;\"line\"===p.type?b=o(y)/2+Math.abs(y[\"line-offset\"])+i(y[\"line-translate\"]):\"fill\"===p.type?b=i(y[\"fill-translate\"]):\"circle\"===p.type&&(b=y[\"circle-radius\"]+i(y[\"circle-translate\"])),c=Math.max(c,b*s)}for(var x=t.queryGeometry.map(function(t){return t.map(function(t){return new u(t.x,t.y)})}),_=1/0,w=1/0,M=-1/0,k=-1/0,A=0;A<x.length;A++)for(var T=x[A],S=0;S<T.length;S++){var E=T[S];_=Math.min(_,E.x),w=Math.min(w,E.y),M=Math.max(M,E.x),k=Math.max(k,E.y)}var L=this.grid.query(_-c,w-c,M+c,k+c);L.sort(a),this.filterMatching(r,L,this.featureIndexArray,x,l,n.layers,e,t.bearing,s);var C=this.collisionTile.queryRenderedSymbols(_,w,M,k,t.scale);return C.sort(),this.filterMatching(r,C,this.collisionTile.collisionBoxArray,x,l,n.layers,e,t.bearing,s),r},n.prototype.filterMatching=function(t,e,r,n,i,a,u,h,f){for(var d,p=0;p<e.length;p++){var m=e[p];if(m!==d){d=m;var v=r.get(m),g=this.bucketLayerIDs[v.bucketIndex];if(!a||b(a,g)){var x=this.sourceLayerCoder.decode(v.sourceLayerIndex),k=this.vtLayers[x],A=k.feature(v.featureIndex);if(i(A))for(var T=null,S=0;S<g.length;S++){var E=g[S];if(!(a&&a.indexOf(E)<0)){var L=u[E];if(L){var C;if(\"symbol\"!==L.type){T||(T=c(A));var I=L.paint;if(\"line\"===L.type){C=s(n,I[\"line-translate\"],I[\"line-translate-anchor\"],h,f);var z=o(I)/2*f;if(I[\"line-offset\"]&&(T=l(T,I[\"line-offset\"]*f)),!M(C,T,z))continue}else if(\"fill\"===L.type){if(C=s(n,I[\"fill-translate\"],I[\"fill-translate-anchor\"],h,f),!w(C,T))continue}else if(\"circle\"===L.type){C=s(n,I[\"circle-translate\"],I[\"circle-translate-anchor\"],h,f);var D=I[\"circle-radius\"]*f;if(!_(C,T,D))continue}}var P=new y(A,this.z,this.x,this.y);P.layer=L.serialize({includeRefProperties:!0});var O=t[E];void 0===O&&(O=t[E]=[]),O.push(P)}}}}}}}},{\"../util/dictionary_coder\":432,\"../util/intersection_tests\":437,\"../util/struct_array\":440,\"../util/util\":442,\"../util/vectortile_to_geojson\":443,\"./bucket\":329,\"./load_geometry\":337,\"feature-filter\":132,\"grid-index\":287,pbf:478,\"point-geometry\":484,\"vector-tile\":550}],337:[function(t,e,r){\"use strict\";function n(t){return{min:-1*Math.pow(2,t-1),max:Math.pow(2,t-1)-1}}var i=t(\"../util/util\"),a=t(\"./bucket\").EXTENT,o=t(\"assert\"),s={15:n(15),16:n(16)};e.exports=function(t,e){var r=s[e||16];o(r);for(var n=a/t.extent,l=t.loadGeometry(),u=0;u<l.length;u++)for(var c=l[u],h=0;h<c.length;h++){var f=c[h];f.x=Math.round(f.x*n),f.y=Math.round(f.y*n),(f.x<r.min||f.x>r.max||f.y<r.min||f.y>r.max)&&i.warnOnce(\"Geometry exceeds allowed extent, reduce your vector tile buffer size\")}return l}},{\"../util/util\":442,\"./bucket\":329,assert:47}],338:[function(t,e,r){\"use strict\";function n(t,e,r){this.column=t,this.row=e,this.zoom=r}e.exports=n,n.prototype={clone:function(){return new n(this.column,this.row,this.zoom)},zoomTo:function(t){return this.clone()._zoomTo(t)},sub:function(t){return this.clone()._sub(t)},_zoomTo:function(t){var e=Math.pow(2,t-this.zoom);return this.column*=e,this.row*=e,this.zoom=t,this},_sub:function(t){return t=t.zoomTo(this.zoom),this.column-=t.column,this.row-=t.row,this}}},{}],339:[function(t,e,r){\"use strict\";function n(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")}e.exports=n\n",
       ";var i=t(\"../util/util\").wrap;n.prototype.wrap=function(){return new n(i(this.lng,-180,180),this.lat)},n.prototype.toArray=function(){return[this.lng,this.lat]},n.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},n.convert=function(t){return t instanceof n?t:Array.isArray(t)?new n(t[0],t[1]):t}},{\"../util/util\":442}],340:[function(t,e,r){\"use strict\";function n(t,e){t&&(e?this.extend(t).extend(e):4===t.length?this.extend([t[0],t[1]]).extend([t[2],t[3]]):this.extend(t[0]).extend(t[1]))}e.exports=n;var i=t(\"./lng_lat\");n.prototype={extend:function(t){var e,r,a=this._sw,o=this._ne;if(t instanceof i)e=t,r=t;else{if(!(t instanceof n))return t?this.extend(i.convert(t)||n.convert(t)):this;if(e=t._sw,r=t._ne,!e||!r)return this}return a||o?(a.lng=Math.min(e.lng,a.lng),a.lat=Math.min(e.lat,a.lat),o.lng=Math.max(r.lng,o.lng),o.lat=Math.max(r.lat,o.lat)):(this._sw=new i(e.lng,e.lat),this._ne=new i(r.lng,r.lat)),this},getCenter:function(){return new i((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},getSouthWest:function(){return this._sw},getNorthEast:function(){return this._ne},getNorthWest:function(){return new i(this.getWest(),this.getNorth())},getSouthEast:function(){return new i(this.getEast(),this.getSouth())},getWest:function(){return this._sw.lng},getSouth:function(){return this._sw.lat},getEast:function(){return this._ne.lng},getNorth:function(){return this._ne.lat},toArray:function(){return[this._sw.toArray(),this._ne.toArray()]},toString:function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"}},n.convert=function(t){return!t||t instanceof n?t:new n(t)}},{\"./lng_lat\":339}],341:[function(t,e,r){\"use strict\";function n(t,e){this.tileSize=512,this._minZoom=t||0,this._maxZoom=e||22,this.latRange=[-85.05113,85.05113],this.width=0,this.height=0,this._center=new i(0,0),this.zoom=0,this.angle=0,this._altitude=1.5,this._pitch=0,this._unmodified=!0}var i=t(\"./lng_lat\"),a=t(\"point-geometry\"),o=t(\"./coordinate\"),s=t(\"../util/util\").wrap,l=t(\"../util/interpolate\"),u=t(\"../source/tile_coord\"),c=t(\"../data/bucket\").EXTENT,h=t(\"gl-matrix\"),f=h.vec4,d=h.mat4,p=h.mat2;e.exports=n,n.prototype={get minZoom(){return this._minZoom},set minZoom(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},get maxZoom(){return this._maxZoom},set maxZoom(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},get worldSize(){return this.tileSize*this.scale},get centerPoint(){return this.size._div(2)},get size(){return new a(this.width,this.height)},get bearing(){return-this.angle/Math.PI*180},set bearing(t){var e=-s(t,-180,180)*Math.PI/180;this.angle!==e&&(this._unmodified=!1,this.angle=e,this._calcMatrices(),this.rotationMatrix=p.create(),p.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},get pitch(){return this._pitch/Math.PI*180},set pitch(t){var e=Math.min(60,t)/180*Math.PI;this._pitch!==e&&(this._unmodified=!1,this._pitch=e,this._calcMatrices())},get altitude(){return this._altitude},set altitude(t){var e=Math.max(.75,t);this._altitude!==e&&(this._unmodified=!1,this._altitude=e,this._calcMatrices())},get zoom(){return this._zoom},set zoom(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._calcMatrices(),this._constrain())},get center(){return this._center},set center(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._calcMatrices(),this._constrain())},coveringZoomLevel:function(t){return(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize))},coveringTiles:function(t){var e=this.coveringZoomLevel(t),r=e;if(e<t.minzoom)return[];e>t.maxzoom&&(e=t.maxzoom);var n=this,i=n.locationCoordinate(n.center)._zoomTo(e),o=new a(i.column-.5,i.row-.5);return u.cover(e,[n.pointCoordinate(new a(0,0))._zoomTo(e),n.pointCoordinate(new a(n.width,0))._zoomTo(e),n.pointCoordinate(new a(n.width,n.height))._zoomTo(e),n.pointCoordinate(new a(0,n.height))._zoomTo(e)],t.reparseOverscaled?r:e).sort(function(t,e){return o.dist(t)-o.dist(e)})},resize:function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._calcMatrices(),this._constrain()},get unmodified(){return this._unmodified},zoomScale:function(t){return Math.pow(2,t)},scaleZoom:function(t){return Math.log(t)/Math.LN2},project:function(t,e){return new a(this.lngX(t.lng,e),this.latY(t.lat,e))},unproject:function(t,e){return new i(this.xLng(t.x,e),this.yLat(t.y,e))},get x(){return this.lngX(this.center.lng)},get y(){return this.latY(this.center.lat)},get point(){return new a(this.x,this.y)},lngX:function(t,e){return(180+t)*(e||this.worldSize)/360},latY:function(t,e){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))*(e||this.worldSize)/360},xLng:function(t,e){return 360*t/(e||this.worldSize)-180},yLat:function(t,e){var r=180-360*t/(e||this.worldSize);return 360/Math.PI*Math.atan(Math.exp(r*Math.PI/180))-90},panBy:function(t){var e=this.centerPoint._add(t);this.center=this.pointLocation(e)},setLocationAtPoint:function(t,e){var r=this.locationCoordinate(t),n=this.pointCoordinate(e),i=this.pointCoordinate(this.centerPoint),a=n._sub(r);this._unmodified=!1,this.center=this.coordinateLocation(i._sub(a))},locationPoint:function(t){return this.coordinatePoint(this.locationCoordinate(t))},pointLocation:function(t){return this.coordinateLocation(this.pointCoordinate(t))},locationCoordinate:function(t){var e=this.zoomScale(this.tileZoom)/this.worldSize,r=i.convert(t);return new o(this.lngX(r.lng)*e,this.latY(r.lat)*e,this.tileZoom)},coordinateLocation:function(t){var e=this.zoomScale(t.zoom);return new i(this.xLng(t.column,e),this.yLat(t.row,e))},pointCoordinate:function(t){var e=[t.x,t.y,0,1],r=[t.x,t.y,1,1];f.transformMat4(e,e,this.pixelMatrixInverse),f.transformMat4(r,r,this.pixelMatrixInverse);var n=e[3],i=r[3],a=e[0]/n,s=r[0]/i,u=e[1]/n,c=r[1]/i,h=e[2]/n,d=r[2]/i,p=h===d?0:(0-h)/(d-h),m=this.worldSize/this.zoomScale(this.tileZoom);return new o(l(a,s,p)/m,l(u,c,p)/m,this.tileZoom)},coordinatePoint:function(t){var e=this.worldSize/this.zoomScale(t.zoom),r=[t.column*e,t.row*e,0,1];return f.transformMat4(r,r,this.pixelMatrix),new a(r[0]/r[3],r[1]/r[3])},calculatePosMatrix:function(t,e){void 0===e&&(e=1/0),t instanceof u&&(t=t.toCoordinate(e));var r=Math.min(t.zoom,e),n=this.worldSize/Math.pow(2,r),i=new Float64Array(16);return d.identity(i),d.translate(i,i,[t.column*n,t.row*n,0]),d.scale(i,i,[n/c,n/c,1]),d.multiply(i,this.projMatrix,i),new Float32Array(i)},_constrain:function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var t,e,r,n,i,o,s,l,u=this.size,c=this._unmodified;this.latRange&&(t=this.latY(this.latRange[1]),e=this.latY(this.latRange[0]),i=e-t<u.y?u.y/(e-t):0),this.lngRange&&(r=this.lngX(this.lngRange[0]),n=this.lngX(this.lngRange[1]),o=n-r<u.x?u.x/(n-r):0);var h=Math.max(o||0,i||0);if(h)return this.center=this.unproject(new a(o?(n+r)/2:this.x,i?(e+t)/2:this.y)),this.zoom+=this.scaleZoom(h),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var f=this.y,d=u.y/2;f-d<t&&(l=t+d),f+d>e&&(l=e-d)}if(this.lngRange){var p=this.x,m=u.x/2;p-m<r&&(s=r+m),p+m>n&&(s=n-m)}void 0===s&&void 0===l||(this.center=this.unproject(new a(void 0!==s?s:this.x,void 0!==l?l:this.y))),this._unmodified=c,this._constraining=!1}},_calcMatrices:function(){if(this.height){var t=Math.atan(.5/this.altitude),e=Math.sin(t)*this.altitude/Math.sin(Math.PI/2-this._pitch-t),r=Math.cos(Math.PI/2-this._pitch)*e+this.altitude,n=new Float64Array(16);if(d.perspective(n,2*Math.atan(this.height/2/this.altitude),this.width/this.height,.1,r),d.translate(n,n,[0,0,-this.altitude]),d.scale(n,n,[1,-1,1/this.height]),d.rotateX(n,n,this._pitch),d.rotateZ(n,n,this.angle),d.translate(n,n,[-this.x,-this.y,0]),this.projMatrix=n,n=d.create(),d.scale(n,n,[this.width/2,-this.height/2,1]),d.translate(n,n,[1,-1,0]),this.pixelMatrix=d.multiply(new Float64Array(16),n,this.projMatrix),!(n=d.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=n}}}},{\"../data/bucket\":329,\"../source/tile_coord\":369,\"../util/interpolate\":436,\"../util/util\":442,\"./coordinate\":338,\"./lng_lat\":339,\"gl-matrix\":193,\"point-geometry\":484}],342:[function(t,e,r){\"use strict\";var n={\" \":[16,[]],\"!\":[10,[5,21,5,7,-1,-1,5,2,4,1,5,0,6,1,5,2]],'\"':[16,[4,21,4,14,-1,-1,12,21,12,14]],\"#\":[21,[11,25,4,-7,-1,-1,17,25,10,-7,-1,-1,4,12,18,12,-1,-1,3,6,17,6]],$:[20,[8,25,8,-4,-1,-1,12,25,12,-4,-1,-1,17,18,15,20,12,21,8,21,5,20,3,18,3,16,4,14,5,13,7,12,13,10,15,9,16,8,17,6,17,3,15,1,12,0,8,0,5,1,3,3]],\"%\":[24,[21,21,3,0,-1,-1,8,21,10,19,10,17,9,15,7,14,5,14,3,16,3,18,4,20,6,21,8,21,10,20,13,19,16,19,19,20,21,21,-1,-1,17,7,15,6,14,4,14,2,16,0,18,0,20,1,21,3,21,5,19,7,17,7]],\"&\":[26,[23,12,23,13,22,14,21,14,20,13,19,11,17,6,15,3,13,1,11,0,7,0,5,1,4,2,3,4,3,6,4,8,5,9,12,13,13,14,14,16,14,18,13,20,11,21,9,20,8,18,8,16,9,13,11,10,16,3,18,1,20,0,22,0,23,1,23,2]],\"'\":[10,[5,19,4,20,5,21,6,20,6,18,5,16,4,15]],\"(\":[14,[11,25,9,23,7,20,5,16,4,11,4,7,5,2,7,-2,9,-5,11,-7]],\")\":[14,[3,25,5,23,7,20,9,16,10,11,10,7,9,2,7,-2,5,-5,3,-7]],\"*\":[16,[8,21,8,9,-1,-1,3,18,13,12,-1,-1,13,18,3,12]],\"+\":[26,[13,18,13,0,-1,-1,4,9,22,9]],\",\":[10,[6,1,5,0,4,1,5,2,6,1,6,-1,5,-3,4,-4]],\"-\":[26,[4,9,22,9]],\".\":[10,[5,2,4,1,5,0,6,1,5,2]],\"/\":[22,[20,25,2,-7]],0:[20,[9,21,6,20,4,17,3,12,3,9,4,4,6,1,9,0,11,0,14,1,16,4,17,9,17,12,16,17,14,20,11,21,9,21]],1:[20,[6,17,8,18,11,21,11,0]],2:[20,[4,16,4,17,5,19,6,20,8,21,12,21,14,20,15,19,16,17,16,15,15,13,13,10,3,0,17,0]],3:[20,[5,21,16,21,10,13,13,13,15,12,16,11,17,8,17,6,16,3,14,1,11,0,8,0,5,1,4,2,3,4]],4:[20,[13,21,3,7,18,7,-1,-1,13,21,13,0]],5:[20,[15,21,5,21,4,12,5,13,8,14,11,14,14,13,16,11,17,8,17,6,16,3,14,1,11,0,8,0,5,1,4,2,3,4]],6:[20,[16,18,15,20,12,21,10,21,7,20,5,17,4,12,4,7,5,3,7,1,10,0,11,0,14,1,16,3,17,6,17,7,16,10,14,12,11,13,10,13,7,12,5,10,4,7]],7:[20,[17,21,7,0,-1,-1,3,21,17,21]],8:[20,[8,21,5,20,4,18,4,16,5,14,7,13,11,12,14,11,16,9,17,7,17,4,16,2,15,1,12,0,8,0,5,1,4,2,3,4,3,7,4,9,6,11,9,12,13,13,15,14,16,16,16,18,15,20,12,21,8,21]],9:[20,[16,14,15,11,13,9,10,8,9,8,6,9,4,11,3,14,3,15,4,18,6,20,9,21,10,21,13,20,15,18,16,14,16,9,15,4,13,1,10,0,8,0,5,1,4,3]],\":\":[10,[5,14,4,13,5,12,6,13,5,14,-1,-1,5,2,4,1,5,0,6,1,5,2]],\";\":[10,[5,14,4,13,5,12,6,13,5,14,-1,-1,6,1,5,0,4,1,5,2,6,1,6,-1,5,-3,4,-4]],\"<\":[24,[20,18,4,9,20,0]],\"=\":[26,[4,12,22,12,-1,-1,4,6,22,6]],\">\":[24,[4,18,20,9,4,0]],\"?\":[18,[3,16,3,17,4,19,5,20,7,21,11,21,13,20,14,19,15,17,15,15,14,13,13,12,9,10,9,7,-1,-1,9,2,8,1,9,0,10,1,9,2]],\"@\":[27,[18,13,17,15,15,16,12,16,10,15,9,14,8,11,8,8,9,6,11,5,14,5,16,6,17,8,-1,-1,12,16,10,14,9,11,9,8,10,6,11,5,-1,-1,18,16,17,8,17,6,19,5,21,5,23,7,24,10,24,12,23,15,22,17,20,19,18,20,15,21,12,21,9,20,7,19,5,17,4,15,3,12,3,9,4,6,5,4,7,2,9,1,12,0,15,0,18,1,20,2,21,3,-1,-1,19,16,18,8,18,6,19,5]],A:[18,[9,21,1,0,-1,-1,9,21,17,0,-1,-1,4,7,14,7]],B:[21,[4,21,4,0,-1,-1,4,21,13,21,16,20,17,19,18,17,18,15,17,13,16,12,13,11,-1,-1,4,11,13,11,16,10,17,9,18,7,18,4,17,2,16,1,13,0,4,0]],C:[21,[18,16,17,18,15,20,13,21,9,21,7,20,5,18,4,16,3,13,3,8,4,5,5,3,7,1,9,0,13,0,15,1,17,3,18,5]],D:[21,[4,21,4,0,-1,-1,4,21,11,21,14,20,16,18,17,16,18,13,18,8,17,5,16,3,14,1,11,0,4,0]],E:[19,[4,21,4,0,-1,-1,4,21,17,21,-1,-1,4,11,12,11,-1,-1,4,0,17,0]],F:[18,[4,21,4,0,-1,-1,4,21,17,21,-1,-1,4,11,12,11]],G:[21,[18,16,17,18,15,20,13,21,9,21,7,20,5,18,4,16,3,13,3,8,4,5,5,3,7,1,9,0,13,0,15,1,17,3,18,5,18,8,-1,-1,13,8,18,8]],H:[22,[4,21,4,0,-1,-1,18,21,18,0,-1,-1,4,11,18,11]],I:[8,[4,21,4,0]],J:[16,[12,21,12,5,11,2,10,1,8,0,6,0,4,1,3,2,2,5,2,7]],K:[21,[4,21,4,0,-1,-1,18,21,4,7,-1,-1,9,12,18,0]],L:[17,[4,21,4,0,-1,-1,4,0,16,0]],M:[24,[4,21,4,0,-1,-1,4,21,12,0,-1,-1,20,21,12,0,-1,-1,20,21,20,0]],N:[22,[4,21,4,0,-1,-1,4,21,18,0,-1,-1,18,21,18,0]],O:[22,[9,21,7,20,5,18,4,16,3,13,3,8,4,5,5,3,7,1,9,0,13,0,15,1,17,3,18,5,19,8,19,13,18,16,17,18,15,20,13,21,9,21]],P:[21,[4,21,4,0,-1,-1,4,21,13,21,16,20,17,19,18,17,18,14,17,12,16,11,13,10,4,10]],Q:[22,[9,21,7,20,5,18,4,16,3,13,3,8,4,5,5,3,7,1,9,0,13,0,15,1,17,3,18,5,19,8,19,13,18,16,17,18,15,20,13,21,9,21,-1,-1,12,4,18,-2]],R:[21,[4,21,4,0,-1,-1,4,21,13,21,16,20,17,19,18,17,18,15,17,13,16,12,13,11,4,11,-1,-1,11,11,18,0]],S:[20,[17,18,15,20,12,21,8,21,5,20,3,18,3,16,4,14,5,13,7,12,13,10,15,9,16,8,17,6,17,3,15,1,12,0,8,0,5,1,3,3]],T:[16,[8,21,8,0,-1,-1,1,21,15,21]],U:[22,[4,21,4,6,5,3,7,1,10,0,12,0,15,1,17,3,18,6,18,21]],V:[18,[1,21,9,0,-1,-1,17,21,9,0]],W:[24,[2,21,7,0,-1,-1,12,21,7,0,-1,-1,12,21,17,0,-1,-1,22,21,17,0]],X:[20,[3,21,17,0,-1,-1,17,21,3,0]],Y:[18,[1,21,9,11,9,0,-1,-1,17,21,9,11]],Z:[20,[17,21,3,0,-1,-1,3,21,17,21,-1,-1,3,0,17,0]],\"[\":[14,[4,25,4,-7,-1,-1,5,25,5,-7,-1,-1,4,25,11,25,-1,-1,4,-7,11,-7]],\"\\\\\":[14,[0,21,14,-3]],\"]\":[14,[9,25,9,-7,-1,-1,10,25,10,-7,-1,-1,3,25,10,25,-1,-1,3,-7,10,-7]],\"^\":[16,[6,15,8,18,10,15,-1,-1,3,12,8,17,13,12,-1,-1,8,17,8,0]],_:[16,[0,-2,16,-2]],\"`\":[10,[6,21,5,20,4,18,4,16,5,15,6,16,5,17]],a:[19,[15,14,15,0,-1,-1,15,11,13,13,11,14,8,14,6,13,4,11,3,8,3,6,4,3,6,1,8,0,11,0,13,1,15,3]],b:[19,[4,21,4,0,-1,-1,4,11,6,13,8,14,11,14,13,13,15,11,16,8,16,6,15,3,13,1,11,0,8,0,6,1,4,3]],c:[18,[15,11,13,13,11,14,8,14,6,13,4,11,3,8,3,6,4,3,6,1,8,0,11,0,13,1,15,3]],d:[19,[15,21,15,0,-1,-1,15,11,13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a,o,s,l,u,c,h,f,d=[];for(a=0,o=t.length;a<o;a++)if(u=n[t[a]]){for(f=null,s=0,l=u[1].length;s<l;s+=2)-1===u[1][s]&&-1===u[1][s+1]?f=null:(c=e+u[1][s]*i,h=r-u[1][s+1]*i,f&&d.push(f.x,f.y,c,h),f={x:c,y:h});e+=u[0]*i}return d}},{}],343:[function(t,e,r){\"use strict\";var n=e.exports={};n.version=t(\"../package.json\").version,n.Map=t(\"./ui/map\"),n.Control=t(\"./ui/control/control\"),n.Navigation=t(\"./ui/control/navigation\"),n.Geolocate=t(\"./ui/control/geolocate\"),n.Attribution=t(\"./ui/control/attribution\"),n.Popup=t(\"./ui/popup\"),n.Marker=t(\"./ui/marker\"),n.Style=t(\"./style/style\"),n.LngLat=t(\"./geo/lng_lat\"),n.LngLatBounds=t(\"./geo/lng_lat_bounds\"),n.Point=t(\"point-geometry\"),n.Evented=t(\"./util/evented\"),n.util=t(\"./util/util\"),n.supported=t(\"./util/browser\").supported;var i=t(\"./util/ajax\");n.util.getJSON=i.getJSON,n.util.getArrayBuffer=i.getArrayBuffer;var a=t(\"./util/config\");n.config=a,Object.defineProperty(n,\"accessToken\",{get:function(){return a.ACCESS_TOKEN},set:function(t){a.ACCESS_TOKEN=t}})},{\"../package.json\":444,\"./geo/lng_lat\":339,\"./geo/lng_lat_bounds\":340,\"./style/style\":378,\"./ui/control/attribution\":409,\"./ui/control/control\":410,\"./ui/control/geolocate\":411,\"./ui/control/navigation\":412,\"./ui/map\":421,\"./ui/marker\":422,\"./ui/popup\":423,\"./util/ajax\":425,\"./util/browser\":426,\"./util/config\":431,\"./util/evented\":434,\"./util/util\":442,\"point-geometry\":484}],344:[function(t,e,r){\"use strict\";var n=t(\"assert\");e.exports=function(t){for(var e={define:{},initialize:{}},r=0;r<t.length;r++){var i=t[r];n(\"u_\"===i.name.slice(0,2));var a=\"{precision} \"+(1===i.components?\"float\":\"vec\"+i.components);e.define[i.name.slice(2)]=\"uniform \"+a+\" \"+i.name+\";\\n\",e.initialize[i.name.slice(2)]=a+\" \"+i.name.slice(2)+\" = \"+i.name+\";\\n\"}return e}},{assert:47}],345:[function(t,e,r){\"use strict\";function n(t,e,r){var n,s=t.gl,l=t.transform,u=r.paint[\"background-color\"],c=r.paint[\"background-pattern\"],h=r.paint[\"background-opacity\"],f=c?t.spriteAtlas.getPosition(c.from,!0):null,d=c?t.spriteAtlas.getPosition(c.to,!0):null;if(t.setDepthSublayer(0),f&&d){if(t.isOpaquePass)return;n=t.useProgram(\"pattern\"),s.uniform1i(n.u_image,0),s.uniform2fv(n.u_pattern_tl_a,f.tl),s.uniform2fv(n.u_pattern_br_a,f.br),s.uniform2fv(n.u_pattern_tl_b,d.tl),s.uniform2fv(n.u_pattern_br_b,d.br),s.uniform1f(n.u_opacity,h),s.uniform1f(n.u_mix,c.t),s.uniform2fv(n.u_pattern_size_a,f.size),s.uniform2fv(n.u_pattern_size_b,d.size),s.uniform1f(n.u_scale_a,c.fromScale),s.uniform1f(n.u_scale_b,c.toScale),s.activeTexture(s.TEXTURE0),t.spriteAtlas.bind(s,!0),t.tileExtentPatternVAO.bind(s,n,t.tileExtentBuffer)}else{if(t.isOpaquePass!==(1===u[3]))return;var p=a([{name:\"u_color\",components:4},{name:\"u_opacity\",components:1}]);n=t.useProgram(\"fill\",[],p,p),s.uniform4fv(n.u_color,u),s.uniform1f(n.u_opacity,h),t.tileExtentVAO.bind(s,n,t.tileExtentBuffer)}s.disable(s.STENCIL_TEST);for(var m=l.coveringTiles({tileSize:o}),v=0;v<m.length;v++){var g=m[v];if(f&&d){var y={coord:g,tileSize:o};s.uniform1f(n.u_tile_units_to_pixels,1/i(y,1,t.transform.tileZoom));var b=y.tileSize*Math.pow(2,t.transform.tileZoom-y.coord.z),x=b*(y.coord.x+g.w*Math.pow(2,y.coord.z)),_=b*y.coord.y;s.uniform2f(n.u_pixel_coord_upper,x>>16,_>>16),s.uniform2f(n.u_pixel_coord_lower,65535&x,65535&_)}s.uniformMatrix4fv(n.u_matrix,!1,t.transform.calculatePosMatrix(g)),s.drawArrays(s.TRIANGLE_STRIP,0,t.tileExtentBuffer.length)}s.stencilMask(0),s.stencilFunc(s.EQUAL,128,128)}var i=t(\"../source/pixels_to_tile_units\"),a=t(\"./create_uniform_pragmas\"),o=512;e.exports=n},{\"../source/pixels_to_tile_units\":363,\"./create_uniform_pragmas\":344}],346:[function(t,e,r){\"use strict\";function n(t,e,r,n){if(!t.isOpaquePass){var a=t.gl;t.setDepthSublayer(0),t.depthMask(!1),a.disable(a.STENCIL_TEST);for(var o=0;o<n.length;o++){var s=n[o],l=e.getTile(s),u=l.getBucket(r);if(u){var c=u.bufferGroups.circle;if(c){var h=u.paintAttributes.circle[r.id],f=t.useProgram(\"circle\",h.defines,h.vertexPragmas,h.fragmentPragmas);\"map\"===r.paint[\"circle-pitch-scale\"]?(a.uniform1i(f.u_scale_with_map,!0),a.uniform2f(f.u_extrude_scale,t.transform.pixelsToGLUnits[0]*t.transform.altitude,t.transform.pixelsToGLUnits[1]*t.transform.altitude)):(a.uniform1i(f.u_scale_with_map,!1),a.uniform2fv(f.u_extrude_scale,t.transform.pixelsToGLUnits)),a.uniform1f(f.u_devicepixelratio,i.devicePixelRatio),a.uniformMatrix4fv(f.u_matrix,!1,t.translatePosMatrix(s.posMatrix,l,r.paint[\"circle-translate\"],r.paint[\"circle-translate-anchor\"])),u.setUniforms(a,\"circle\",f,r,{zoom:t.transform.zoom});for(var d=0;d<c.length;d++){var p=c[d];p.vaos[r.id].bind(a,f,p.layoutVertexBuffer,p.elementBuffer,p.paintVertexBuffers[r.id]),a.drawElements(a.TRIANGLES,3*p.elementBuffer.length,a.UNSIGNED_SHORT,0)}}}}}}var i=t(\"../util/browser\");e.exports=n},{\"../util/browser\":426}],347:[function(t,e,r){\"use strict\";function n(t,e,r,n){var i=t.gl;i.enable(i.STENCIL_TEST);for(var a=t.useProgram(\"collisionbox\"),o=0;o<n.length;o++){var s=n[o],l=e.getTile(s),u=l.getBucket(r);if(u){var c=u.bufferGroups.collisionBox;if(c&&c.length){var h=c[0];0!==h.layoutVertexBuffer.length&&(i.uniformMatrix4fv(a.u_matrix,!1,s.posMatrix),t.enableTileClippingMask(s),t.lineWidth(1),i.uniform1f(a.u_scale,Math.pow(2,t.transform.zoom-l.coord.z)),i.uniform1f(a.u_zoom,10*t.transform.zoom),i.uniform1f(a.u_maxzoom,10*(l.coord.z+1)),h.vaos[r.id].bind(i,a,h.layoutVertexBuffer),i.drawArrays(i.LINES,0,h.layoutVertexBuffer.length))}}}}e.exports=n},{}],348:[function(t,e,r){\"use strict\";function n(t,e,r){if(!t.isOpaquePass&&t.options.debug)for(var n=0;n<r.length;n++)i(t,e,r[n])}function i(t,e,r){var n=t.gl;n.disable(n.STENCIL_TEST),t.lineWidth(1*o.devicePixelRatio);var i=r.posMatrix,h=t.useProgram(\"debug\");n.uniformMatrix4fv(h.u_matrix,!1,i),n.uniform4f(h.u_color,1,0,0,1),t.debugVAO.bind(n,h,t.debugBuffer),n.drawArrays(n.LINE_STRIP,0,t.debugBuffer.length);for(var f=a(r.toString(),50,200,5),d=new t.PosArray,p=0;p<f.length;p+=2)d.emplaceBack(f[p],f[p+1]);var m=new u(d.serialize(),t.PosArray.serialize(),u.BufferType.VERTEX);(new c).bind(n,h,m),n.uniform4f(h.u_color,1,1,1,1);for(var v=e.getTile(r).tileSize,g=l/(Math.pow(2,t.transform.zoom-r.z)*v),y=[[-1,-1],[-1,1],[1,-1],[1,1]],b=0;b<y.length;b++){var x=y[b];n.uniformMatrix4fv(h.u_matrix,!1,s.translate([],i,[g*x[0],g*x[1],0])),n.drawArrays(n.LINES,0,m.length)}n.uniform4f(h.u_color,0,0,0,1),n.uniformMatrix4fv(h.u_matrix,!1,i),n.drawArrays(n.LINES,0,m.length)}var a=t(\"../lib/debugtext\"),o=t(\"../util/browser\"),s=t(\"gl-matrix\").mat4,l=t(\"../data/bucket\").EXTENT,u=t(\"../data/buffer\"),c=t(\"./vertex_array_object\");e.exports=n},{\"../data/bucket\":329,\"../data/buffer\":334,\"../lib/debugtext\":342,\"../util/browser\":426,\"./vertex_array_object\":357,\"gl-matrix\":193}],349:[function(t,e,r){\"use strict\";function n(t,e,r,n){var o=t.gl;o.enable(o.STENCIL_TEST);var s;if(s=!r.paint[\"fill-pattern\"]&&(r.isPaintValueFeatureConstant(\"fill-color\")&&r.isPaintValueFeatureConstant(\"fill-opacity\")&&1===r.paint[\"fill-color\"][3]&&1===r.paint[\"fill-opacity\"]),t.isOpaquePass===s){t.setDepthSublayer(1);for(var l=0;l<n.length;l++)i(t,e,r,n[l])}if(!t.isOpaquePass&&r.paint[\"fill-antialias\"]){t.lineWidth(2),t.depthMask(!1);var u=r.getPaintProperty(\"fill-outline-color\");(u||!r.paint[\"fill-pattern\"])&&u?t.setDepthSublayer(2):t.setDepthSublayer(0);for(var c=0;c<n.length;c++)a(t,e,r,n[c])}}function i(t,e,r,n){var i=e.getTile(n),a=i.getBucket(r);if(a){var s=a.bufferGroups.fill;if(s){var l,u=t.gl,c=r.paint[\"fill-pattern\"];if(c)l=t.useProgram(\"pattern\"),o(c,r.paint[\"fill-opacity\"],i,n,t,l),u.activeTexture(u.TEXTURE0),t.spriteAtlas.bind(u,!0);else{var h=a.paintAttributes.fill[r.id];l=t.useProgram(\"fill\",h.defines,h.vertexPragmas,h.fragmentPragmas),a.setUniforms(u,\"fill\",l,r,{zoom:t.transform.zoom})}u.uniformMatrix4fv(l.u_matrix,!1,t.translatePosMatrix(n.posMatrix,i,r.paint[\"fill-translate\"],r.paint[\"fill-translate-anchor\"])),t.enableTileClippingMask(n);for(var f=0;f<s.length;f++){var d=s[f];d.vaos[r.id].bind(u,l,d.layoutVertexBuffer,d.elementBuffer,d.paintVertexBuffers[r.id]),u.drawElements(u.TRIANGLES,d.elementBuffer.length,u.UNSIGNED_SHORT,0)}}}}function a(t,e,r,n){var i=e.getTile(n),a=i.getBucket(r);if(a){var s,l=t.gl,u=a.bufferGroups.fill,c=r.paint[\"fill-pattern\"],h=r.paint[\"fill-opacity\"],f=r.getPaintProperty(\"fill-outline-color\");if(c&&!f)s=t.useProgram(\"outlinepattern\"),l.uniform2f(s.u_world,l.drawingBufferWidth,l.drawingBufferHeight);else{var d=a.paintAttributes.fill[r.id];s=t.useProgram(\"outline\",d.defines,d.vertexPragmas,d.fragmentPragmas),l.uniform2f(s.u_world,l.drawingBufferWidth,l.drawingBufferHeight),l.uniform1f(s.u_opacity,h),a.setUniforms(l,\"fill\",s,r,{zoom:t.transform.zoom})}l.uniformMatrix4fv(s.u_matrix,!1,t.translatePosMatrix(n.posMatrix,i,r.paint[\"fill-translate\"],r.paint[\"fill-translate-anchor\"])),c&&o(c,h,i,n,t,s),t.enableTileClippingMask(n);for(var p=0;p<u.length;p++){var m=u[p];m.secondVaos[r.id].bind(l,s,m.layoutVertexBuffer,m.elementBuffer2,m.paintVertexBuffers[r.id]),l.drawElements(l.LINES,2*m.elementBuffer2.length,l.UNSIGNED_SHORT,0)}}}function o(t,e,r,n,i,a){var o=i.gl,l=i.spriteAtlas.getPosition(t.from,!0),u=i.spriteAtlas.getPosition(t.to,!0);if(l&&u){o.uniform1i(a.u_image,0),o.uniform2fv(a.u_pattern_tl_a,l.tl),o.uniform2fv(a.u_pattern_br_a,l.br),o.uniform2fv(a.u_pattern_tl_b,u.tl),o.uniform2fv(a.u_pattern_br_b,u.br),o.uniform1f(a.u_opacity,e),o.uniform1f(a.u_mix,t.t),o.uniform1f(a.u_tile_units_to_pixels,1/s(r,1,i.transform.tileZoom)),o.uniform2fv(a.u_pattern_size_a,l.size),o.uniform2fv(a.u_pattern_size_b,u.size),o.uniform1f(a.u_scale_a,t.fromScale),o.uniform1f(a.u_scale_b,t.toScale);var c=r.tileSize*Math.pow(2,i.transform.tileZoom-r.coord.z),h=c*(r.coord.x+n.w*Math.pow(2,r.coord.z)),f=c*r.coord.y;o.uniform2f(a.u_pixel_coord_upper,h>>16,f>>16),o.uniform2f(a.u_pixel_coord_lower,65535&h,65535&f),o.activeTexture(o.TEXTURE0),i.spriteAtlas.bind(o,!0)}}var s=t(\"../source/pixels_to_tile_units\");e.exports=n},{\"../source/pixels_to_tile_units\":363}],350:[function(t,e,r){\"use strict\";var n=t(\"../util/browser\"),i=t(\"gl-matrix\").mat2,a=t(\"../source/pixels_to_tile_units\");e.exports=function(t,e,r,o){if(!t.isOpaquePass){t.setDepthSublayer(0),t.depthMask(!1);var s=t.gl;if(s.enable(s.STENCIL_TEST),!(r.paint[\"line-width\"]<=0)){var l=1/n.devicePixelRatio,u=r.paint[\"line-blur\"]+l,c=r.paint[\"line-color\"],h=t.transform,f=i.create();i.scale(f,f,[1,Math.cos(h._pitch)]),i.rotate(f,f,t.transform.angle);var d,p,m,v,g,y=Math.sqrt(h.height*h.height/4*(1+h.altitude*h.altitude)),b=h.height/2*Math.tan(h._pitch),x=(y+b)/y-1,_=r.paint[\"line-dasharray\"],w=r.paint[\"line-pattern\"];if(_)d=t.useProgram(\"linesdfpattern\"),s.uniform1f(d.u_linewidth,r.paint[\"line-width\"]/2),s.uniform1f(d.u_gapwidth,r.paint[\"line-gap-width\"]/2),s.uniform1f(d.u_antialiasing,l/2),s.uniform1f(d.u_blur,u),s.uniform4fv(d.u_color,c),s.uniform1f(d.u_opacity,r.paint[\"line-opacity\"]),p=t.lineAtlas.getDash(_.from,\"round\"===r.layout[\"line-cap\"]),m=t.lineAtlas.getDash(_.to,\"round\"===r.layout[\"line-cap\"]),s.uniform1i(d.u_image,0),s.activeTexture(s.TEXTURE0),t.lineAtlas.bind(s),s.uniform1f(d.u_tex_y_a,p.y),s.uniform1f(d.u_tex_y_b,m.y),s.uniform1f(d.u_mix,_.t),s.uniform1f(d.u_extra,x),s.uniform1f(d.u_offset,-r.paint[\"line-offset\"]),s.uniformMatrix2fv(d.u_antialiasingmatrix,!1,f);else if(w){if(v=t.spriteAtlas.getPosition(w.from,!0),g=t.spriteAtlas.getPosition(w.to,!0),!v||!g)return;d=t.useProgram(\"linepattern\"),s.uniform1i(d.u_image,0),s.activeTexture(s.TEXTURE0),t.spriteAtlas.bind(s,!0),s.uniform1f(d.u_linewidth,r.paint[\"line-width\"]/2),s.uniform1f(d.u_gapwidth,r.paint[\"line-gap-width\"]/2),s.uniform1f(d.u_antialiasing,l/2),s.uniform1f(d.u_blur,u),s.uniform2fv(d.u_pattern_tl_a,v.tl),s.uniform2fv(d.u_pattern_br_a,v.br),s.uniform2fv(d.u_pattern_tl_b,g.tl),s.uniform2fv(d.u_pattern_br_b,g.br),s.uniform1f(d.u_fade,w.t),s.uniform1f(d.u_opacity,r.paint[\"line-opacity\"]),s.uniform1f(d.u_extra,x),s.uniform1f(d.u_offset,-r.paint[\"line-offset\"]),s.uniformMatrix2fv(d.u_antialiasingmatrix,!1,f)}else d=t.useProgram(\"line\"),s.uniform1f(d.u_linewidth,r.paint[\"line-width\"]/2),s.uniform1f(d.u_gapwidth,r.paint[\"line-gap-width\"]/2),s.uniform1f(d.u_antialiasing,l/2),s.uniform1f(d.u_blur,u),s.uniform1f(d.u_extra,x),s.uniform1f(d.u_offset,-r.paint[\"line-offset\"]),s.uniformMatrix2fv(d.u_antialiasingmatrix,!1,f),s.uniform4fv(d.u_color,c),s.uniform1f(d.u_opacity,r.paint[\"line-opacity\"]);for(var M=0;M<o.length;M++){var k=o[M],A=e.getTile(k),T=A.getBucket(r);if(T){var S=T.bufferGroups.line;if(S){t.enableTileClippingMask(k);var E=t.translatePosMatrix(k.posMatrix,A,r.paint[\"line-translate\"],r.paint[\"line-translate-anchor\"]);s.uniformMatrix4fv(d.u_matrix,!1,E);var L=1/a(A,1,t.transform.zoom);if(_){var C=p.width*_.fromScale,I=m.width*_.toScale,z=[1/a(A,C,t.transform.tileZoom),-p.height/2],D=[1/a(A,I,t.transform.tileZoom),-m.height/2],P=t.lineAtlas.width/(256*Math.min(C,I)*n.devicePixelRatio)/2;s.uniform1f(d.u_ratio,L),s.uniform2fv(d.u_patternscale_a,z),s.uniform2fv(d.u_patternscale_b,D),s.uniform1f(d.u_sdfgamma,P)}else w?(s.uniform1f(d.u_ratio,L),s.uniform2fv(d.u_pattern_size_a,[a(A,v.size[0]*w.fromScale,t.transform.tileZoom),g.size[1]]),s.uniform2fv(d.u_pattern_size_b,[a(A,g.size[0]*w.toScale,t.transform.tileZoom),g.size[1]])):s.uniform1f(d.u_ratio,L);for(var O=0;O<S.length;O++){var R=S[O];R.vaos[r.id].bind(s,d,R.layoutVertexBuffer,R.elementBuffer),s.drawElements(s.TRIANGLES,3*R.elementBuffer.length,s.UNSIGNED_SHORT,0)}}}}}}}},{\"../source/pixels_to_tile_units\":363,\"../util/browser\":426,\"gl-matrix\":193}],351:[function(t,e,r){\"use strict\";function n(t,e,r,n){if(!t.isOpaquePass){var a=t.gl;a.enable(a.DEPTH_TEST),t.depthMask(!0),a.depthFunc(a.LESS);for(var o=n.length&&n[0].z,s=0;s<n.length;s++){var l=n[s];t.setDepthSublayer(l.z-o),i(t,e,r,l)}a.depthFunc(a.LEQUAL)}}function i(t,e,r,n){var i=t.gl;i.disable(i.STENCIL_TEST);var u=e.getTile(n),c=t.transform.calculatePosMatrix(n,e.maxzoom),h=t.useProgram(\"raster\");i.uniformMatrix4fv(h.u_matrix,!1,c),i.uniform1f(h.u_brightness_low,r.paint[\"raster-brightness-min\"]),i.uniform1f(h.u_brightness_high,r.paint[\"raster-brightness-max\"]),i.uniform1f(h.u_saturation_factor,s(r.paint[\"raster-saturation\"])),i.uniform1f(h.u_contrast_factor,o(r.paint[\"raster-contrast\"])),i.uniform3fv(h.u_spin_weights,a(r.paint[\"raster-hue-rotate\"]));var f,d,p=u.source&&u.source.findLoadedParent(n,0,{}),m=l(u,p,r,t.transform);i.activeTexture(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,u.texture),i.activeTexture(i.TEXTURE1),p?(i.bindTexture(i.TEXTURE_2D,p.texture),f=Math.pow(2,p.coord.z-u.coord.z),d=[u.coord.x*f%1,u.coord.y*f%1]):(i.bindTexture(i.TEXTURE_2D,u.texture),m[1]=0),i.uniform2fv(h.u_tl_parent,d||[0,0]),i.uniform1f(h.u_scale_parent,f||1),i.uniform1f(h.u_buffer_scale,1),i.uniform1f(h.u_opacity0,m[0]),i.uniform1f(h.u_opacity1,m[1]),i.uniform1i(h.u_image0,0),i.uniform1i(h.u_image1,1);var v=u.boundsBuffer||t.rasterBoundsBuffer;(u.boundsVAO||t.rasterBoundsVAO).bind(i,h,v),i.drawArrays(i.TRIANGLE_STRIP,0,v.length)}function a(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}function o(t){return t>0?1/(1-t):1+t}function s(t){return t>0?1-1/(1.001-t):-t}function l(t,e,r,n){var i=[1,0],a=r.paint[\"raster-fade-duration\"];if(t.source&&a>0){var o=(new Date).getTime(),s=(o-t.timeAdded)/a,l=e?(o-e.timeAdded)/a:-1,c=n.coveringZoomLevel(t.source),h=!!e&&Math.abs(e.coord.z-c)>Math.abs(t.coord.z-c);!e||h?(i[0]=u.clamp(s,0,1),i[1]=1-i[0]):(i[0]=u.clamp(1-l,0,1),i[1]=1-i[0])}var f=r.paint[\"raster-opacity\"];return i[0]*=f,i[1]*=f,i}var u=t(\"../util/util\"),c=t(\"../util/struct_array\");e.exports=n,n.RasterBoundsArray=new c({members:[{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]})},{\"../util/struct_array\":440,\"../util/util\":442}],352:[function(t,e,r){\"use strict\";function n(t,e,r,n){if(!t.isOpaquePass){var a=!(r.layout[\"text-allow-overlap\"]||r.layout[\"icon-allow-overlap\"]||r.layout[\"text-ignore-placement\"]||r.layout[\"icon-ignore-placement\"]),o=t.gl;a?o.disable(o.STENCIL_TEST):o.enable(o.STENCIL_TEST),t.setDepthSublayer(0),t.depthMask(!1),o.disable(o.DEPTH_TEST),i(t,e,r,n,!1,r.paint[\"icon-translate\"],r.paint[\"icon-translate-anchor\"],r.layout[\"icon-rotation-alignment\"],r.layout[\"icon-rotation-alignment\"],r.layout[\"icon-size\"],r.paint[\"icon-halo-width\"],r.paint[\"icon-halo-color\"],r.paint[\"icon-halo-blur\"],r.paint[\"icon-opacity\"],r.paint[\"icon-color\"]),\n",
       "i(t,e,r,n,!0,r.paint[\"text-translate\"],r.paint[\"text-translate-anchor\"],r.layout[\"text-rotation-alignment\"],r.layout[\"text-pitch-alignment\"],r.layout[\"text-size\"],r.paint[\"text-halo-width\"],r.paint[\"text-halo-color\"],r.paint[\"text-halo-blur\"],r.paint[\"text-opacity\"],r.paint[\"text-color\"]),o.enable(o.DEPTH_TEST),e.map.showCollisionBoxes&&s(t,e,r,n)}}function i(t,e,r,n,i,o,s,l,u,c,h,f,d,p,m){for(var v=0;v<n.length;v++){var g=e.getTile(n[v]),y=g.getBucket(r);if(y){var b=y.bufferGroups,x=i?b.glyph:b.icon;x.length&&(t.enableTileClippingMask(n[v]),a(t,r,n[v].posMatrix,g,y,x,i,i||y.sdfIcons,!i&&y.iconsNeedLinear,i?y.adjustedTextSize:y.adjustedIconSize,y.fontstack,o,s,l,u,c,h,f,d,p,m))}}}function a(t,e,r,n,i,a,s,u,c,h,f,d,p,m,v,g,y,b,x,_,w){var M,k,A,T=t.gl,S=t.transform,E=\"map\"===m,L=\"map\"===v,C=s?24:1,I=g/C;if(L?(k=l(n,1,t.transform.zoom)*I,A=1/Math.cos(S._pitch),M=[k,k]):(k=t.transform.altitude*I,A=1,M=[S.pixelsToGLUnits[0]*k,S.pixelsToGLUnits[1]*k]),s||t.style.sprite.loaded()){var z=t.useProgram(u?\"sdf\":\"icon\");if(T.uniformMatrix4fv(z.u_matrix,!1,t.translatePosMatrix(r,n,d,p)),T.uniform1i(z.u_rotate_with_map,E),T.uniform1i(z.u_pitch_with_map,L),T.uniform2fv(z.u_extrude_scale,M),T.activeTexture(T.TEXTURE0),T.uniform1i(z.u_texture,0),s){var D=f&&t.glyphSource.getGlyphAtlas(f);if(!D)return;D.updateTexture(T),T.uniform2f(z.u_texsize,D.width/4,D.height/4)}else{var P=t.options.rotating||t.options.zooming,O=1!==I||o.devicePixelRatio!==t.spriteAtlas.pixelRatio||c,R=L||t.transform.pitch;t.spriteAtlas.bind(T,u||P||O||R),T.uniform2f(z.u_texsize,t.spriteAtlas.width/4,t.spriteAtlas.height/4)}var F=Math.log(g/h)/Math.LN2||0;T.uniform1f(z.u_zoom,10*(t.transform.zoom-F)),T.activeTexture(T.TEXTURE1),t.frameHistory.bind(T),T.uniform1i(z.u_fadetexture,1);var j;if(u){var N=.105*C/g/o.devicePixelRatio;if(y){T.uniform1f(z.u_gamma,(1.19*x/I/8+N)*A),T.uniform4fv(z.u_color,b),T.uniform1f(z.u_opacity,_),T.uniform1f(z.u_buffer,(6-y/I)/8);for(var B=0;B<a.length;B++)j=a[B],j.vaos[e.id].bind(T,z,j.layoutVertexBuffer,j.elementBuffer),T.drawElements(T.TRIANGLES,3*j.elementBuffer.length,T.UNSIGNED_SHORT,0)}T.uniform1f(z.u_gamma,N*A),T.uniform4fv(z.u_color,w),T.uniform1f(z.u_opacity,_),T.uniform1f(z.u_buffer,.75),T.uniform1f(z.u_pitch,S.pitch/360*2*Math.PI),T.uniform1f(z.u_bearing,S.bearing/360*2*Math.PI),T.uniform1f(z.u_aspect_ratio,S.width/S.height);for(var U=0;U<a.length;U++)j=a[U],j.vaos[e.id].bind(T,z,j.layoutVertexBuffer,j.elementBuffer),T.drawElements(T.TRIANGLES,3*j.elementBuffer.length,T.UNSIGNED_SHORT,0)}else{T.uniform1f(z.u_opacity,_);for(var V=0;V<a.length;V++)j=a[V],j.vaos[e.id].bind(T,z,j.layoutVertexBuffer,j.elementBuffer),T.drawElements(T.TRIANGLES,3*j.elementBuffer.length,T.UNSIGNED_SHORT,0)}}}var o=t(\"../util/browser\"),s=t(\"./draw_collision_debug\"),l=t(\"../source/pixels_to_tile_units\");e.exports=n},{\"../source/pixels_to_tile_units\":363,\"../util/browser\":426,\"./draw_collision_debug\":347}],353:[function(t,e,r){\"use strict\";function n(){this.changeTimes=new Float64Array(256),this.changeOpacities=new Uint8Array(256),this.opacities=new Uint8ClampedArray(256),this.array=new Uint8Array(this.opacities.buffer),this.fadeDuration=300,this.previousZoom=0,this.firstFrame=!0}e.exports=n,n.prototype.record=function(t){var e=Date.now();this.firstFrame&&(e=0,this.firstFrame=!1),t=Math.floor(10*t);var r;if(t<this.previousZoom)for(r=t+1;r<=this.previousZoom;r++)this.changeTimes[r]=e,this.changeOpacities[r]=this.opacities[r];else for(r=t;r>this.previousZoom;r--)this.changeTimes[r]=e,this.changeOpacities[r]=this.opacities[r];for(r=0;r<256;r++){var n=e-this.changeTimes[r],i=n/this.fadeDuration*255;this.opacities[r]=r<=t?this.changeOpacities[r]+i:this.changeOpacities[r]-i}this.changed=!0,this.previousZoom=t},n.prototype.bind=function(t){this.texture?(t.bindTexture(t.TEXTURE_2D,this.texture),this.changed&&(t.texSubImage2D(t.TEXTURE_2D,0,0,0,256,1,t.ALPHA,t.UNSIGNED_BYTE,this.array),this.changed=!1)):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),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),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texImage2D(t.TEXTURE_2D,0,t.ALPHA,256,1,0,t.ALPHA,t.UNSIGNED_BYTE,this.array))}},{}],354:[function(t,e,r){\"use strict\";function n(t,e){this.width=t,this.height=e,this.nextRow=0,this.bytes=4,this.data=new Uint8Array(this.width*this.height*this.bytes),this.positions={}}var i=t(\"../util/util\");e.exports=n,n.prototype.setSprite=function(t){this.sprite=t},n.prototype.getDash=function(t,e){var r=t.join(\",\")+e;return this.positions[r]||(this.positions[r]=this.addDash(t,e)),this.positions[r]},n.prototype.addDash=function(t,e){var r=e?7:0,n=2*r+1;if(this.nextRow+n>this.height)return i.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<t.length;o++)a+=t[o];for(var s=this.width/a,l=s/2,u=t.length%2==1,c=-r;c<=r;c++)for(var h=this.nextRow+r+c,f=this.width*h,d=u?-t[t.length-1]:0,p=t[0],m=1,v=0;v<this.width;v++){for(;p<v/s;)d=p,p+=t[m],u&&m===t.length-1&&(p+=t[0]),m++;var g,y=Math.abs(v-d*s),b=Math.abs(v-p*s),x=Math.min(y,b),_=m%2==1;if(e){var w=r?c/r*(l+1):0;if(_){var M=l-Math.abs(w);g=Math.sqrt(x*x+M*M)}else g=l-Math.sqrt(x*x+w*w)}else g=(_?1:-1)*x;this.data[3+4*(f+v)]=Math.max(0,Math.min(255,g+128))}var k={y:(this.nextRow+r+.5)/this.height,height:2*r/this.height,width:a};return this.nextRow+=n,this.dirty=!0,k},n.prototype.bind=function(t){this.texture?(t.bindTexture(t.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,t.texSubImage2D(t.TEXTURE_2D,0,0,0,this.width,this.height,t.RGBA,t.UNSIGNED_BYTE,this.data))):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.REPEAT),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.REPEAT),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.LINEAR),t.texImage2D(t.TEXTURE_2D,0,t.RGBA,this.width,this.height,0,t.RGBA,t.UNSIGNED_BYTE,this.data))}},{\"../util/util\":442}],355:[function(t,e,r){\"use strict\";function n(t,e){this.gl=t,this.transform=e,this.reusableTextures={},this.preFbos={},this.frameHistory=new o,this.setup(),this.numSublayers=s.maxUnderzooming+s.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.lineWidthRange=t.getParameter(t.ALIASED_LINE_WIDTH_RANGE)}var i=t(\"../util/browser\"),a=t(\"gl-matrix\").mat4,o=t(\"./frame_history\"),s=t(\"../source/source_cache\"),l=t(\"../data/bucket\").EXTENT,u=t(\"../source/pixels_to_tile_units\"),c=t(\"../util/util\"),h=t(\"../util/struct_array\"),f=t(\"../data/buffer\"),d=t(\"./vertex_array_object\"),p=t(\"./draw_raster\").RasterBoundsArray,m=t(\"./create_uniform_pragmas\");e.exports=n,c.extend(n.prototype,t(\"./painter/use_program\")),n.prototype.resize=function(t,e){var r=this.gl;this.width=t*i.devicePixelRatio,this.height=e*i.devicePixelRatio,r.viewport(0,0,this.width,this.height)},n.prototype.setup=function(){var t=this.gl;t.verbose=!0,t.enable(t.BLEND),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),t.enable(t.STENCIL_TEST),t.enable(t.DEPTH_TEST),t.depthFunc(t.LEQUAL),this._depthMask=!1,t.depthMask(!1);var e=this.PosArray=new h({members:[{name:\"a_pos\",type:\"Int16\",components:2}]}),r=new e;r.emplaceBack(0,0),r.emplaceBack(l,0),r.emplaceBack(0,l),r.emplaceBack(l,l),this.tileExtentBuffer=new f(r.serialize(),e.serialize(),f.BufferType.VERTEX),this.tileExtentVAO=new d,this.tileExtentPatternVAO=new d;var n=new e;n.emplaceBack(0,0),n.emplaceBack(l,0),n.emplaceBack(l,l),n.emplaceBack(0,l),n.emplaceBack(0,0),this.debugBuffer=new f(n.serialize(),e.serialize(),f.BufferType.VERTEX),this.debugVAO=new d;var i=new p;i.emplaceBack(0,0,0,0),i.emplaceBack(l,0,32767,0),i.emplaceBack(0,l,0,32767),i.emplaceBack(l,l,32767,32767),this.rasterBoundsBuffer=new f(i.serialize(),p.serialize(),f.BufferType.VERTEX),this.rasterBoundsVAO=new d},n.prototype.clearColor=function(){var t=this.gl;t.clearColor(0,0,0,0),t.clear(t.COLOR_BUFFER_BIT)},n.prototype.clearStencil=function(){var t=this.gl;t.clearStencil(0),t.stencilMask(255),t.clear(t.STENCIL_BUFFER_BIT)},n.prototype.clearDepth=function(){var t=this.gl;t.clearDepth(1),this.depthMask(!0),t.clear(t.DEPTH_BUFFER_BIT)},n.prototype._renderTileClippingMasks=function(t){var e=this.gl;e.colorMask(!1,!1,!1,!1),this.depthMask(!1),e.disable(e.DEPTH_TEST),e.enable(e.STENCIL_TEST),e.stencilMask(248),e.stencilOp(e.KEEP,e.KEEP,e.REPLACE);var r=1;this._tileClippingMaskIDs={};for(var n=0;n<t.length;n++){var i=t[n],a=this._tileClippingMaskIDs[i.id]=r++<<3;e.stencilFunc(e.ALWAYS,a,248);var o=m([{name:\"u_color\",components:4},{name:\"u_opacity\",components:1}]),s=this.useProgram(\"fill\",[],o,o);e.uniformMatrix4fv(s.u_matrix,!1,i.posMatrix),this.tileExtentVAO.bind(e,s,this.tileExtentBuffer),e.drawArrays(e.TRIANGLE_STRIP,0,this.tileExtentBuffer.length)}e.stencilMask(0),e.colorMask(!0,!0,!0,!0),this.depthMask(!0),e.enable(e.DEPTH_TEST)},n.prototype.enableTileClippingMask=function(t){var e=this.gl;e.stencilFunc(e.EQUAL,this._tileClippingMaskIDs[t.id],248)},n.prototype.prepareBuffers=function(){},n.prototype.bindDefaultFramebuffer=function(){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,null)};var v={symbol:t(\"./draw_symbol\"),circle:t(\"./draw_circle\"),line:t(\"./draw_line\"),fill:t(\"./draw_fill\"),raster:t(\"./draw_raster\"),background:t(\"./draw_background\"),debug:t(\"./draw_debug\")};n.prototype.render=function(t,e){this.style=t,this.options=e,this.lineAtlas=t.lineAtlas,this.spriteAtlas=t.spriteAtlas,this.spriteAtlas.setSprite(t.sprite),this.glyphSource=t.glyphSource,this.frameHistory.record(this.transform.zoom),this.prepareBuffers(),this.clearColor(),this.clearDepth(),this.showOverdrawInspector(e.showOverdrawInspector),this.depthRange=(t._order.length+2)*this.numSublayers*this.depthEpsilon,this.renderPass({isOpaquePass:!0}),this.renderPass({isOpaquePass:!1})},n.prototype.renderPass=function(t){var e=this.style._groups,r=t.isOpaquePass;this.currentLayer=r?this.style._order.length:-1;for(var n=0;n<e.length;n++){var i,a=e[r?e.length-1-n:n],o=this.style.sources[a.source],s=[];if(o){for(s=o.getVisibleCoordinates(),i=0;i<s.length;i++)s[i].posMatrix=this.transform.calculatePosMatrix(s[i],o.maxzoom);this.clearStencil(),o.prepare&&o.prepare(),o.isTileClipped&&this._renderTileClippingMasks(s)}for(r?(this._showOverdrawInspector||this.gl.disable(this.gl.BLEND),this.isOpaquePass=!0):(this.gl.enable(this.gl.BLEND),this.isOpaquePass=!1,s.reverse()),i=0;i<a.length;i++){var l=a[r?a.length-1-i:i];this.currentLayer+=r?-1:1,this.renderLayer(this,o,l,s)}o&&v.debug(this,o,s)}},n.prototype.depthMask=function(t){t!==this._depthMask&&(this._depthMask=t,this.gl.depthMask(t))},n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||n.length)&&(this.id=r.id,v[r.type](t,e,r,n))},n.prototype.setDepthSublayer=function(t){var e=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon,r=e-1+this.depthRange;this.gl.depthRange(r,e)},n.prototype.translatePosMatrix=function(t,e,r,n){if(!r[0]&&!r[1])return t;if(\"viewport\"===n){var i=Math.sin(-this.transform.angle),o=Math.cos(-this.transform.angle);r=[r[0]*o-r[1]*i,r[0]*i+r[1]*o]}var s=[u(e,r[0],this.transform.zoom),u(e,r[1],this.transform.zoom),0],l=new Float32Array(16);return a.translate(l,t,s),l},n.prototype.saveTexture=function(t){var e=this.reusableTextures[t.size];e?e.push(t):this.reusableTextures[t.size]=[t]},n.prototype.getTexture=function(t){var e=this.reusableTextures[t];return e&&e.length>0?e.pop():null},n.prototype.lineWidth=function(t){this.gl.lineWidth(c.clamp(t,this.lineWidthRange[0],this.lineWidthRange[1]))},n.prototype.showOverdrawInspector=function(t){if(t||this._showOverdrawInspector){this._showOverdrawInspector=t;var e=this.gl;if(t){e.blendFunc(e.CONSTANT_COLOR,e.ONE);e.blendColor(1/8,1/8,1/8,0),e.clearColor(0,0,0,1),e.clear(e.COLOR_BUFFER_BIT)}else e.blendFunc(e.ONE,e.ONE_MINUS_SRC_ALPHA)}}},{\"../data/bucket\":329,\"../data/buffer\":334,\"../source/pixels_to_tile_units\":363,\"../source/source_cache\":367,\"../util/browser\":426,\"../util/struct_array\":440,\"../util/util\":442,\"./create_uniform_pragmas\":344,\"./draw_background\":345,\"./draw_circle\":346,\"./draw_debug\":348,\"./draw_fill\":349,\"./draw_line\":350,\"./draw_raster\":351,\"./draw_symbol\":352,\"./frame_history\":353,\"./painter/use_program\":356,\"./vertex_array_object\":357,\"gl-matrix\":193}],356:[function(t,e,r){\"use strict\";function n(t,e){return t.replace(/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,function(t,r,n,i,a){return e[r][a].replace(/{type}/g,i).replace(/{precision}/g,n)})}var i=t(\"assert\"),a=t(\"../../util/util\"),o=t(\"mapbox-gl-shaders\"),s=o.util;e.exports._createProgram=function(t,e,r,l){for(var u=this.gl,c=u.createProgram(),h=o[t],f=\"#define MAPBOX_GL_JS;\\n\",d=0;d<e.length;d++)f+=\"#define \"+e[d]+\";\\n\";var p=u.createShader(u.FRAGMENT_SHADER);u.shaderSource(p,n(f+h.fragmentSource,l)),u.compileShader(p),i(u.getShaderParameter(p,u.COMPILE_STATUS),u.getShaderInfoLog(p)),u.attachShader(c,p);var m=u.createShader(u.VERTEX_SHADER);u.shaderSource(m,n(f+s+h.vertexSource,r)),u.compileShader(m),i(u.getShaderParameter(m,u.COMPILE_STATUS),u.getShaderInfoLog(m)),u.attachShader(c,m),u.linkProgram(c),i(u.getProgramParameter(c,u.LINK_STATUS),u.getProgramInfoLog(c));for(var v={},g=u.getProgramParameter(c,u.ACTIVE_ATTRIBUTES),y=0;y<g;y++){var b=u.getActiveAttrib(c,y);v[b.name]=u.getAttribLocation(c,b.name)}for(var x={},_=u.getProgramParameter(c,u.ACTIVE_UNIFORMS),w=0;w<_;w++){var M=u.getActiveUniform(c,w);x[M.name]=u.getUniformLocation(c,M.name)}return a.extend({program:c,definition:h,attributes:v,numAttributes:g},v,x)},e.exports._createProgramCached=function(t,e,r,n){this.cache=this.cache||{};var i=JSON.stringify({name:t,defines:e,vertexPragmas:r,fragmentPragmas:n});return this.cache[i]||(this.cache[i]=this._createProgram(t,e,r,n)),this.cache[i]},e.exports.useProgram=function(t,e,r,n){var i=this.gl;e=e||[],this._showOverdrawInspector&&(e=e.concat(\"OVERDRAW_INSPECTOR\"));var a=this._createProgramCached(t,e,r,n);return this.currentProgram!==a&&(i.useProgram(a.program),this.currentProgram=a),a}},{\"../../util/util\":442,assert:47,\"mapbox-gl-shaders\":303}],357:[function(t,e,r){\"use strict\";function n(){this.boundProgram=null,this.boundVertexBuffer=null,this.boundVertexBuffer2=null,this.boundElementBuffer=null,this.vao=null}var i=t(\"assert\");e.exports=n,n.prototype.bind=function(t,e,r,n,i){void 0===t.extVertexArrayObject&&(t.extVertexArrayObject=t.getExtension(\"OES_vertex_array_object\"));var a=!this.vao||this.boundProgram!==e||this.boundVertexBuffer!==r||this.boundVertexBuffer2!==i||this.boundElementBuffer!==n;!t.extVertexArrayObject||a?this.freshBind(t,e,r,n,i):t.extVertexArrayObject.bindVertexArrayOES(this.vao)},n.prototype.freshBind=function(t,e,r,n,a){var o,s=e.numAttributes;if(t.extVertexArrayObject)this.vao&&this.destroy(t),this.vao=t.extVertexArrayObject.createVertexArrayOES(),t.extVertexArrayObject.bindVertexArrayOES(this.vao),o=0,this.boundProgram=e,this.boundVertexBuffer=r,this.boundVertexBuffer2=a,this.boundElementBuffer=n;else{o=t.currentNumAttributes||0;for(var l=s;l<o;l++)i(0!==l),t.disableVertexAttribArray(l)}for(var u=o;u<s;u++)t.enableVertexAttribArray(u);r.bind(t),r.setVertexAttribPointers(t,e),a&&(a.bind(t),a.setVertexAttribPointers(t,e)),n&&n.bind(t),t.currentNumAttributes=s},n.prototype.unbind=function(t){var e=t.extVertexArrayObject;e&&e.bindVertexArrayOES(null)},n.prototype.destroy=function(t){var e=t.extVertexArrayObject;e&&this.vao&&(e.deleteVertexArrayOES(this.vao),this.vao=null)}},{assert:47}],358:[function(t,e,r){\"use strict\";function n(t,e,r){e=e||{},this.id=t,this.dispatcher=r,this._data=e.data,void 0!==e.maxzoom&&(this.maxzoom=e.maxzoom),e.type&&(this.type=e.type);var n=s/this.tileSize;this.workerOptions=a.extend({source:this.id,cluster:e.cluster||!1,geojsonVtOptions:{buffer:(void 0!==e.buffer?e.buffer:128)*n,tolerance:(void 0!==e.tolerance?e.tolerance:.375)*n,extent:s,maxZoom:this.maxzoom},superclusterOptions:{maxZoom:Math.min(e.clusterMaxZoom,this.maxzoom-1)||this.maxzoom-1,extent:s,radius:(e.clusterRadius||50)*n,log:!1}},e.workerOptions),this._updateWorkerData(function(t){if(t)return void this.fire(\"error\",{error:t});this.fire(\"load\")}.bind(this))}var i=t(\"../util/evented\"),a=t(\"../util/util\"),o=t(\"resolve-url\"),s=t(\"../data/bucket\").EXTENT;e.exports=n,n.prototype=a.inherit(i,{type:\"geojson\",minzoom:0,maxzoom:18,tileSize:512,isTileClipped:!0,reparseOverscaled:!0,onAdd:function(t){this.map=t},setData:function(t){return this._data=t,this._updateWorkerData(function(t){if(t)return this.fire(\"error\",{error:t});this.fire(\"change\")}.bind(this)),this},_updateWorkerData:function(t){var e=a.extend({},this.workerOptions),r=this._data;\"string\"==typeof r?e.url=\"undefined\"!=typeof window?o(window.location.href,r):r:e.data=JSON.stringify(r),this.workerID=this.dispatcher.send(this.type+\".loadData\",e,function(e){this._loaded=!0,t(e)}.bind(this))},loadTile:function(t,e){var r=t.coord.z>this.maxzoom?Math.pow(2,t.coord.z-this.maxzoom):1,n={type:this.type,uid:t.uid,coord:t.coord,zoom:t.coord.z,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,overscaling:r,angle:this.map.transform.angle,pitch:this.map.transform.pitch,showCollisionBoxes:this.map.showCollisionBoxes};t.workerID=this.dispatcher.send(\"load tile\",n,function(r,n){if(t.unloadVectorData(this.map.painter),!t.aborted)return r?e(r):(t.loadVectorData(n,this.map.style),t.redoWhenDone&&(t.redoWhenDone=!1,t.redoPlacement(this)),e(null))}.bind(this),this.workerID)},abortTile:function(t){t.aborted=!0},unloadTile:function(t){t.unloadVectorData(this.map.painter),this.dispatcher.send(\"remove tile\",{uid:t.uid,source:this.id},function(){},t.workerID)},serialize:function(){return{type:this.type,data:this._data}}})},{\"../data/bucket\":329,\"../util/evented\":434,\"../util/util\":442,\"resolve-url\":501}],359:[function(t,e,r){\"use strict\";function n(t,e,r){r&&(this.loadGeoJSON=r),h.call(this,t,e)}var i=t(\"../util/util\"),a=t(\"../util/ajax\"),o=t(\"geojson-rewind\"),s=t(\"./geojson_wrapper\"),l=t(\"vt-pbf\"),u=t(\"supercluster\"),c=t(\"geojson-vt\"),h=t(\"./vector_tile_worker_source\");e.exports=n,n.prototype=i.inherit(h,{_geoJSONIndexes:{},loadVectorData:function(t,e){var r=t.source,n=t.coord;if(!this._geoJSONIndexes[r])return e(null,null);var i=this._geoJSONIndexes[r].getTile(Math.min(n.z,t.maxZoom),n.x,n.y);if(!i)return e(null,null);var a=new s(i.features);a.name=\"_geojsonTileLayer\";var o=l({layers:{_geojsonTileLayer:a}});0===o.byteOffset&&o.byteLength===o.buffer.byteLength||(o=new Uint8Array(o)),e(null,{tile:a,rawTileData:o.buffer})},loadData:function(t,e){var r=function(r,n){return r?e(r):\"object\"!=typeof n?e(new Error(\"Input data is not a valid GeoJSON object.\")):(o(n,!0),void this._indexData(n,t,function(r,n){if(r)return e(r);this._geoJSONIndexes[t.source]=n,e(null)}.bind(this)))}.bind(this);this.loadGeoJSON(t,r)},loadGeoJSON:function(t,e){if(t.url)a.getJSON(t.url,e);else{if(\"string\"!=typeof t.data)return e(new Error(\"Input data is not a valid GeoJSON object.\"));try{return e(null,JSON.parse(t.data))}catch(t){return e(new Error(\"Input data is not a valid GeoJSON object.\"))}}},_indexData:function(t,e,r){try{e.cluster?r(null,u(e.superclusterOptions).load(t.features)):r(null,c(t,e.geojsonVtOptions))}catch(t){return r(t)}}})},{\"../util/ajax\":425,\"../util/util\":442,\"./geojson_wrapper\":360,\"./vector_tile_worker_source\":371,\"geojson-rewind\":138,\"geojson-vt\":142,supercluster:529,\"vt-pbf\":556}],360:[function(t,e,r){\"use strict\";function n(t){this.features=t,this.length=t.length,this.extent=s}function i(t){if(this.type=t.type,1===t.type){this.rawGeometry=[];for(var e=0;e<t.geometry.length;e++)this.rawGeometry.push([t.geometry[e]])}else this.rawGeometry=t.geometry;this.properties=t.tags,this.extent=s}var a=t(\"point-geometry\"),o=t(\"vector-tile\").VectorTileFeature,s=t(\"../data/bucket\").EXTENT;e.exports=n,n.prototype.feature=function(t){return new i(this.features[t])},i.prototype.loadGeometry=function(){var t=this.rawGeometry;this.geometry=[];for(var e=0;e<t.length;e++){for(var r=t[e],n=[],i=0;i<r.length;i++)n.push(new a(r[i][0],r[i][1]));this.geometry.push(n)}return this.geometry},i.prototype.bbox=function(){this.geometry||this.loadGeometry();for(var t=this.geometry,e=1/0,r=-1/0,n=1/0,i=-1/0,a=0;a<t.length;a++)for(var o=t[a],s=0;s<o.length;s++){var l=o[s];e=Math.min(e,l.x),r=Math.max(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.y)}return[e,n,r,i]},i.prototype.toGeoJSON=o.prototype.toGeoJSON},{\"../data/bucket\":329,\"point-geometry\":484,\"vector-tile\":550}],361:[function(t,e,r){\"use strict\";function n(t,e,r){this.id=t,this.dispatcher=r,this.url=e.url,this.coordinates=e.coordinates,u.getImage(e.url,function(t,r){if(t)return this.fire(\"error\",{error:t});this.image=r,this.image.addEventListener(\"load\",function(){this.map._rerender()}.bind(this)),this._loaded=!0,this.fire(\"load\"),this.map&&this.setCoordinates(e.coordinates)}.bind(this))}var i=t(\"../util/util\"),a=t(\"./tile_coord\"),o=t(\"../geo/lng_lat\"),s=t(\"point-geometry\"),l=t(\"../util/evented\"),u=t(\"../util/ajax\"),c=t(\"../data/bucket\").EXTENT,h=t(\"../render/draw_raster\").RasterBoundsArray,f=t(\"../data/buffer\"),d=t(\"../render/vertex_array_object\");e.exports=n,n.prototype=i.inherit(l,{minzoom:0,maxzoom:22,tileSize:512,onAdd:function(t){this.map=t,this.image&&this.setCoordinates(this.coordinates)},setCoordinates:function(t){this.coordinates=t;var e=this.map,r=t.map(function(t){return e.transform.locationCoordinate(o.convert(t)).zoomTo(0)}),n=this.centerCoord=i.getCoordinatesCenter(r);return n.column=Math.round(n.column),n.row=Math.round(n.row),this.minzoom=this.maxzoom=n.zoom,this._coord=new a(n.zoom,n.column,n.row),this._tileCoords=r.map(function(t){var e=t.zoomTo(n.zoom);return new s(Math.round((e.column-n.column)*c),Math.round((e.row-n.row)*c))}),this.fire(\"change\"),this},_setTile:function(t){this._prepared=!1,this.tile=t;var e=new h;e.emplaceBack(this._tileCoords[0].x,this._tileCoords[0].y,0,0),e.emplaceBack(this._tileCoords[1].x,this._tileCoords[1].y,32767,0),e.emplaceBack(this._tileCoords[3].x,this._tileCoords[3].y,0,32767),e.emplaceBack(this._tileCoords[2].x,this._tileCoords[2].y,32767,32767),this.tile.buckets={},this.tile.boundsBuffer=new f(e.serialize(),h.serialize(),f.BufferType.VERTEX),this.tile.boundsVAO=new d,this.tile.state=\"loaded\"},prepare:function(){if(this._loaded&&this.image&&this.image.complete&&this.tile){var t=this.map.painter,e=t.gl;this._prepared?(e.bindTexture(e.TEXTURE_2D,this.tile.texture),e.texSubImage2D(e.TEXTURE_2D,0,0,0,e.RGBA,e.UNSIGNED_BYTE,this.image)):(this.tile.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.tile.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,this.image))}},loadTile:function(t,e){this._coord&&this._coord.toString()===t.coord.toString()?(this._setTile(t),e(null)):(t.state=\"errored\",e(null))},serialize:function(){return{type:\"image\",urls:this.url,coordinates:this.coordinates}}})},{\"../data/bucket\":329,\"../data/buffer\":334,\"../geo/lng_lat\":339,\"../render/draw_raster\":351,\"../render/vertex_array_object\":357,\"../util/ajax\":425,\"../util/evented\":434,\"../util/util\":442,\"./tile_coord\":369,\"point-geometry\":484}],362:[function(t,e,r){\"use strict\";var n=t(\"../util/util\"),i=t(\"../util/ajax\"),a=t(\"../util/browser\"),o=t(\"../util/mapbox\").normalizeSourceURL;e.exports=function(t,e){var r=function(t,r){if(t)return e(t);var i=n.pick(r,[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\"]);r.vector_layers&&(i.vectorLayers=r.vector_layers,i.vectorLayerIds=i.vectorLayers.map(function(t){return t.id})),e(null,i)};t.url?i.getJSON(o(t.url),r):a.frame(r.bind(null,null,t))}},{\"../util/ajax\":425,\"../util/browser\":426,\"../util/mapbox\":439,\"../util/util\":442}],363:[function(t,e,r){\"use strict\";var n=t(\"../data/bucket\");e.exports=function(t,e,r){return e*(n.EXTENT/(t.tileSize*Math.pow(2,r-t.coord.z)))}},{\"../data/bucket\":329}],364:[function(t,e,r){\"use strict\";function n(t,e){var r=t.coord,n=e.coord;return r.z-n.z||r.y-n.y||r.w-n.w||r.x-n.x}function i(t){for(var e=t[0]||{},r=1;r<t.length;r++){var n=t[r];for(var i in n){var a=n[i],o=e[i];if(void 0===o)o=e[i]=a;else for(var s=0;s<a.length;s++)o.push(a[s])}}return e}var a=t(\"./tile_coord\");r.rendered=function(t,e,r,a,o,s){var l=t.tilesIn(r);l.sort(n);for(var u=[],c=0;c<l.length;c++){var h=l[c];h.tile.featureIndex&&u.push(h.tile.featureIndex.query({queryGeometry:h.queryGeometry,scale:h.scale,tileSize:h.tile.tileSize,bearing:s,params:a},e))}return i(u)},r.source=function(t,e){for(var r=t.getRenderableIds().map(function(e){return t.getTileByID(e)}),n=[],i={},o=0;o<r.length;o++){var s=r[o],l=new a(Math.min(s.sourceMaxZoom,s.coord.z),s.coord.x,s.coord.y,0).id;i[l]||(i[l]=!0,s.querySourceFeatures(n,e))}return n}},{\"./tile_coord\":369}],365:[function(t,e,r){\"use strict\";function n(t,e,r){this.id=t,this.dispatcher=r,i.extend(this,i.pick(e,[\"url\",\"scheme\",\"tileSize\"])),s(e,function(t,e){if(t)return this.fire(\"error\",t);i.extend(this,e),this.fire(\"load\")}.bind(this))}var i=t(\"../util/util\"),a=t(\"../util/ajax\"),o=t(\"../util/evented\"),s=t(\"./load_tilejson\"),l=t(\"../util/mapbox\").normalizeTileURL;e.exports=n,n.prototype=i.inherit(o,{minzoom:0,maxzoom:22,roundZoom:!0,scheme:\"xyz\",tileSize:512,_loaded:!1,onAdd:function(t){this.map=t},serialize:function(){return{type:\"raster\",url:this.url,tileSize:this.tileSize}},loadTile:function(t,e){function r(r,n){if(delete t.request,!t.aborted){if(r)return e(r);var i=this.map.painter.gl;t.texture=this.map.painter.getTexture(n.width),t.texture?(i.bindTexture(i.TEXTURE_2D,t.texture),i.texSubImage2D(i.TEXTURE_2D,0,0,0,i.RGBA,i.UNSIGNED_BYTE,n)):(t.texture=i.createTexture(),i.bindTexture(i.TEXTURE_2D,t.texture),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MIN_FILTER,i.LINEAR_MIPMAP_NEAREST),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MAG_FILTER,i.LINEAR),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_S,i.CLAMP_TO_EDGE),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_T,i.CLAMP_TO_EDGE),i.pixelStorei(i.UNPACK_PREMULTIPLY_ALPHA_WEBGL,!0),i.texImage2D(i.TEXTURE_2D,0,i.RGBA,i.RGBA,i.UNSIGNED_BYTE,n),t.texture.size=n.width),i.generateMipmap(i.TEXTURE_2D),this.map.animationLoop.set(this.map.style.rasterFadeDuration),t.state=\"loaded\",e(null)}}var n=l(t.coord.url(this.tiles,null,this.scheme),this.url,this.tileSize);t.request=a.getImage(n,r.bind(this))},abortTile:function(t){t.request&&(t.request.abort(),delete t.request)},unloadTile:function(t){t.texture&&this.map.painter.saveTexture(t.texture)}})},{\"../util/ajax\":425,\"../util/evented\":434,\"../util/mapbox\":439,\"../util/util\":442,\"./load_tilejson\":362}],366:[function(t,e,r){\"use strict\";var n=t(\"../util/util\"),i={vector:t(\"../source/vector_tile_source\"),raster:t(\"../source/raster_tile_source\"),geojson:t(\"../source/geojson_source\"),video:t(\"../source/video_source\"),image:t(\"../source/image_source\")};r.create=function(t,e,r){if(e=new i[e.type](t,e,r),e.id!==t)throw new Error(\"Expected Source id to be \"+t+\" instead of \"+e.id);return n.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],e),e},r.getType=function(t){return i[t]},r.setType=function(t,e){i[t]=e}},{\"../source/geojson_source\":358,\"../source/image_source\":361,\"../source/raster_tile_source\":365,\"../source/vector_tile_source\":370,\"../source/video_source\":372,\"../util/util\":442}],367:[function(t,e,r){\"use strict\";function n(t,e,r){this.id=t,this.dispatcher=r;var n=this._source=o.create(t,e,r).on(\"load\",function(){this.map&&this._source.onAdd&&this._source.onAdd(this.map),this._sourceLoaded=!0,this.tileSize=n.tileSize,this.minzoom=n.minzoom,this.maxzoom=n.maxzoom,this.roundZoom=n.roundZoom,this.reparseOverscaled=n.reparseOverscaled,this.isTileClipped=n.isTileClipped,this.attribution=n.attribution,this.vectorLayerIds=n.vectorLayerIds,this.fire(\"load\")}.bind(this)).on(\"error\",function(t){this._sourceErrored=!0,this.fire(\"error\",t)}.bind(this)).on(\"change\",function(){this.reload(),this.transform&&this.update(this.transform,this.map&&this.map.style.rasterFadeDuration),this.fire(\"change\")}.bind(this));this._tiles={},this._cache=new c(0,this.unloadTile.bind(this)),this._isIdRenderable=this._isIdRenderable.bind(this)}function i(t,e,r){var n=r.zoomTo(Math.min(t.z,e));return{x:(n.column-(t.x+t.w*Math.pow(2,t.z)))*d,y:(n.row-t.y)*d}}function a(t,e){return t%32-e%32}var o=t(\"./source\"),s=t(\"./tile\"),l=t(\"../util/evented\"),u=t(\"./tile_coord\"),c=t(\"../util/lru_cache\"),h=t(\"../geo/coordinate\"),f=t(\"../util/util\"),d=t(\"../data/bucket\").EXTENT;e.exports=n,n.maxOverzooming=10,n.maxUnderzooming=3,n.prototype=f.inherit(l,{onAdd:function(t){this.map=t,this._source&&this._source.onAdd&&this._source.onAdd(t)},loaded:function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},getSource:function(){return this._source},loadTile:function(t,e){return this._source.loadTile(t,e)},unloadTile:function(t){if(this._source.unloadTile)return this._source.unloadTile(t)},abortTile:function(t){if(this._source.abortTile)return this._source.abortTile(t)},serialize:function(){return this._source.serialize()},prepare:function(){if(this._sourceLoaded&&this._source.prepare)return this._source.prepare()},getIds:function(){return Object.keys(this._tiles).map(Number).sort(a)},getRenderableIds:function(){return this.getIds().filter(this._isIdRenderable)},_isIdRenderable:function(t){return this._tiles[t].isRenderable()&&!this._coveredTiles[t]},reload:function(){this._cache.reset();for(var t in this._tiles){var e=this._tiles[t];\"loading\"!==e.state&&(e.state=\"reloading\"),this.loadTile(this._tiles[t],this._tileLoaded.bind(this,this._tiles[t]))}},_tileLoaded:function(t,e){if(e)return t.state=\"errored\",this.fire(\"tile.error\",{tile:t,error:e}),void this._source.fire(\"tile.error\",{tile:t,error:e});t.source=this,t.timeAdded=(new Date).getTime(),this.fire(\"tile.load\",{tile:t}),this._source.fire(\"tile.load\",{tile:t})},getTile:function(t){return this.getTileByID(t.id)},getTileByID:function(t){return this._tiles[t]},getZoom:function(t){return t.zoom+t.scaleZoom(t.tileSize/this.tileSize)},findLoadedChildren:function(t,e,r){var n=!1;for(var i in this._tiles){var a=this._tiles[i];if(!(r[i]||!a.isRenderable()||a.coord.z<=t.z||a.coord.z>e)){var o=Math.pow(2,Math.min(a.coord.z,this.maxzoom)-Math.min(t.z,this.maxzoom));if(Math.floor(a.coord.x/o)===t.x&&Math.floor(a.coord.y/o)===t.y)for(r[i]=!0,n=!0;a&&a.coord.z-1>t.z;){var s=a.coord.parent(this.maxzoom).id;a=this._tiles[s],a&&a.isRenderable()&&(delete r[i],r[s]=!0)}}}return n},findLoadedParent:function(t,e,r){for(var n=t.z-1;n>=e;n--){t=t.parent(this.maxzoom);var i=this._tiles[t.id];if(i&&i.isRenderable())return r[t.id]=!0,i;if(this._cache.has(t.id))return this.addTile(t),r[t.id]=!0,this._tiles[t.id]}},updateCacheSize:function(t){var e=Math.ceil(t.width/t.tileSize)+1,r=Math.ceil(t.height/t.tileSize)+1,n=e*r;this._cache.setMaxSize(Math.floor(5*n))},update:function(t,e){if(this._sourceLoaded){var r,i,a;this.updateCacheSize(t);var o=(this.roundZoom?Math.round:Math.floor)(this.getZoom(t)),s=Math.max(o-n.maxOverzooming,this.minzoom),l=Math.max(o+n.maxUnderzooming,this.minzoom),c={},h=(new Date).getTime();this._coveredTiles={};var d=this.used?t.coveringTiles(this._source):[];for(r=0;r<d.length;r++)i=d[r],a=this.addTile(i),c[i.id]=!0,a.isRenderable()||this.findLoadedChildren(i,l,c)||this.findLoadedParent(i,s,c);for(var p={},m=Object.keys(c),v=0;v<m.length;v++){var g=m[v];i=u.fromID(g),a=this._tiles[g],a&&a.timeAdded>h-(e||0)&&(this.findLoadedChildren(i,l,c)&&(c[g]=!0),this.findLoadedParent(i,s,p))}var y;for(y in p)c[y]||(this._coveredTiles[y]=!0);for(y in p)c[y]=!0;var b=f.keysDifference(this._tiles,c);for(r=0;r<b.length;r++)this.removeTile(+b[r]);this.transform=t}},addTile:function(t){var e=this._tiles[t.id];if(e)return e;var r=t.wrapped()\n",
       ";if(e=this._tiles[r.id],e||(e=this._cache.get(r.id))&&this._redoPlacement&&this._redoPlacement(e),!e){var n=t.z,i=n>this.maxzoom?Math.pow(2,n-this.maxzoom):1;e=new s(r,this.tileSize*i,this.maxzoom),this.loadTile(e,this._tileLoaded.bind(this,e))}return e.uses++,this._tiles[t.id]=e,this.fire(\"tile.add\",{tile:e}),this._source.fire(\"tile.add\",{tile:e}),e},removeTile:function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this.fire(\"tile.remove\",{tile:e}),this._source.fire(\"tile.remove\",{tile:e}),e.uses>0||(e.isRenderable()?this._cache.add(e.coord.wrapped().id,e):(e.aborted=!0,this.abortTile(e),this.unloadTile(e))))},clearTiles:function(){for(var t in this._tiles)this.removeTile(t);this._cache.reset()},tilesIn:function(t){for(var e={},r=this.getIds(),n=1/0,a=1/0,o=-1/0,s=-1/0,l=t[0].zoom,c=0;c<t.length;c++){var f=t[c];n=Math.min(n,f.column),a=Math.min(a,f.row),o=Math.max(o,f.column),s=Math.max(s,f.row)}for(var p=0;p<r.length;p++){var m=this._tiles[r[p]],v=u.fromID(r[p]),g=[i(v,m.sourceMaxZoom,new h(n,a,l)),i(v,m.sourceMaxZoom,new h(o,s,l))];if(g[0].x<d&&g[0].y<d&&g[1].x>=0&&g[1].y>=0){for(var y=[],b=0;b<t.length;b++)y.push(i(v,m.sourceMaxZoom,t[b]));var x=e[m.coord.id];void 0===x&&(x=e[m.coord.id]={tile:m,coord:v,queryGeometry:[],scale:Math.pow(2,this.transform.zoom-m.coord.z)}),x.queryGeometry.push(y)}}var _=[];for(var w in e)_.push(e[w]);return _},redoPlacement:function(){for(var t=this.getIds(),e=0;e<t.length;e++){this.getTileByID(t[e]).redoPlacement(this)}},getVisibleCoordinates:function(){return this.getRenderableIds().map(u.fromID)}})},{\"../data/bucket\":329,\"../geo/coordinate\":338,\"../util/evented\":434,\"../util/lru_cache\":438,\"../util/util\":442,\"./source\":366,\"./tile\":368,\"./tile_coord\":369}],368:[function(t,e,r){\"use strict\";function n(t,e,r){this.coord=t,this.uid=a.uniqueId(),this.uses=0,this.tileSize=e,this.sourceMaxZoom=r,this.buckets={},this.state=\"loading\"}function i(t,e){if(e){for(var r={},n=0;n<t.length;n++){var i=e.getLayer(t[n].layerId);if(i){var s=o.create(a.extend({layer:i,childLayers:t[n].childLayerIds.map(e.getLayer.bind(e)).filter(function(t){return t})},t[n]));r[s.id]=s}}return r}}var a=t(\"../util/util\"),o=t(\"../data/bucket\"),s=t(\"../data/feature_index\"),l=t(\"vector-tile\"),u=t(\"pbf\"),c=t(\"../util/vectortile_to_geojson\"),h=t(\"feature-filter\"),f=t(\"../symbol/collision_tile\"),d=t(\"../symbol/collision_box\"),p=t(\"../symbol/symbol_instances\"),m=t(\"../symbol/symbol_quads\");e.exports=n,n.prototype={loadVectorData:function(t,e){this.state=\"loaded\",t&&(this.collisionBoxArray=new d(t.collisionBoxArray),this.collisionTile=new f(t.collisionTile,this.collisionBoxArray),this.symbolInstancesArray=new p(t.symbolInstancesArray),this.symbolQuadsArray=new m(t.symbolQuadsArray),this.featureIndex=new s(t.featureIndex,t.rawTileData,this.collisionTile),this.rawTileData=t.rawTileData,this.buckets=i(t.buckets,e))},reloadSymbolData:function(t,e,r){if(\"unloaded\"!==this.state){this.collisionTile=new f(t.collisionTile,this.collisionBoxArray),this.featureIndex.setCollisionTile(this.collisionTile);for(var n in this.buckets){var o=this.buckets[n];\"symbol\"===o.type&&(o.destroy(e.gl),delete this.buckets[n])}a.extend(this.buckets,i(t.buckets,r))}},unloadVectorData:function(t){for(var e in this.buckets){this.buckets[e].destroy(t.gl)}this.collisionBoxArray=null,this.symbolQuadsArray=null,this.symbolInstancesArray=null,this.collisionTile=null,this.featureIndex=null,this.rawTileData=null,this.buckets=null,this.state=\"unloaded\"},redoPlacement:function(t){function e(e,r){this.reloadSymbolData(r,t.map.painter,t.map.style),t.fire(\"tile.load\",{tile:this}),this.state=\"loaded\",this.redoWhenDone&&(this.redoPlacement(t),this.redoWhenDone=!1)}if(\"loaded\"!==this.state||\"reloading\"===this.state)return void(this.redoWhenDone=!0);this.state=\"reloading\",t.dispatcher.send(\"redo placement\",{uid:this.uid,source:t.id,angle:t.map.transform.angle,pitch:t.map.transform.pitch,showCollisionBoxes:t.map.showCollisionBoxes},e.bind(this),this.workerID)},getBucket:function(t){return this.buckets&&this.buckets[t.ref||t.id]},querySourceFeatures:function(t,e){if(this.rawTileData){this.vtLayers||(this.vtLayers=new l.VectorTile(new u(new Uint8Array(this.rawTileData))).layers);var r=this.vtLayers._geojsonTileLayer||this.vtLayers[e.sourceLayer];if(r)for(var n=h(e.filter),i={z:this.coord.z,x:this.coord.x,y:this.coord.y},a=0;a<r.length;a++){var o=r.feature(a);if(n(o)){var s=new c(o,this.coord.z,this.coord.x,this.coord.y);s.tile=i,t.push(s)}}}},isRenderable:function(){return\"loaded\"===this.state||\"reloading\"===this.state}}},{\"../data/bucket\":329,\"../data/feature_index\":336,\"../symbol/collision_box\":394,\"../symbol/collision_tile\":396,\"../symbol/symbol_instances\":405,\"../symbol/symbol_quads\":406,\"../util/util\":442,\"../util/vectortile_to_geojson\":443,\"feature-filter\":132,pbf:478,\"vector-tile\":550}],369:[function(t,e,r){\"use strict\";function n(t,e,r,n){l(!isNaN(t)&&t>=0&&t%1==0),l(!isNaN(e)&&e>=0&&e%1==0),l(!isNaN(r)&&r>=0&&r%1==0),isNaN(n)&&(n=0),this.z=+t,this.x=+e,this.y=+r,this.w=+n,(n*=2)<0&&(n=-1*n-1);var i=1<<this.z;this.id=32*(i*i*n+i*this.y+this.x)+this.z,this.posMatrix=null}function i(t,e,r){for(var n,i=\"\",a=t;a>0;a--)n=1<<a-1,i+=(e&n?1:0)+(r&n?2:0);return i}function a(t,e){if(t.row>e.row){var r=t;t=e,e=r}return{x0:t.column,y0:t.row,x1:e.column,y1:e.row,dx:e.column-t.column,dy:e.row-t.row}}function o(t,e,r,n,i){var a=Math.max(r,Math.floor(e.y0)),o=Math.min(n,Math.ceil(e.y1));if(t.x0===e.x0&&t.y0===e.y0?t.x0+e.dy/t.dy*t.dx<e.x1:t.x1-e.dy/t.dy*t.dx<e.x0){var s=t;t=e,e=s}for(var l=t.dx/t.dy,u=e.dx/e.dy,c=t.dx>0,h=e.dx<0,f=a;f<o;f++){var d=l*Math.max(0,Math.min(t.dy,f+c-t.y0))+t.x0,p=u*Math.max(0,Math.min(e.dy,f+h-e.y0))+e.x0;i(Math.floor(p),Math.ceil(d),f)}}function s(t,e,r,n,i,s){var l,u=a(t,e),c=a(e,r),h=a(r,t);u.dy>c.dy&&(l=u,u=c,c=l),u.dy>h.dy&&(l=u,u=h,h=l),c.dy>h.dy&&(l=c,c=h,h=l),u.dy&&o(h,u,n,i,s),c.dy&&o(h,c,n,i,s)}var l=t(\"assert\"),u=t(\"whoots-js\"),c=t(\"../geo/coordinate\");e.exports=n,n.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y},n.prototype.toCoordinate=function(t){var e=Math.min(this.z,t),r=Math.pow(2,e),n=this.y,i=this.x+r*this.w;return new c(i,n,e)},n.fromID=function(t){var e=t%32,r=1<<e,i=(t-e)/32,a=i%r,o=(i-a)/r%r,s=Math.floor(i/(r*r));return s%2!=0&&(s=-1*s-1),s/=2,new n(e,a,o,s)},n.prototype.url=function(t,e,r){var n=u.getTileBBox(this.x,this.y,this.z),a=i(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",Math.min(this.z,e||this.z)).replace(\"{x}\",this.x).replace(\"{y}\",\"tms\"===r?Math.pow(2,this.z)-this.y-1:this.y).replace(\"{quadkey}\",a).replace(\"{bbox-epsg-3857}\",n)},n.prototype.parent=function(t){return 0===this.z?null:this.z>t?new n(this.z-1,this.x,this.y,this.w):new n(this.z-1,Math.floor(this.x/2),Math.floor(this.y/2),this.w)},n.prototype.wrapped=function(){return new n(this.z,this.x,this.y,0)},n.prototype.children=function(t){if(this.z>=t)return[new n(this.z+1,this.x,this.y,this.w)];var e=this.z+1,r=2*this.x,i=2*this.y;return[new n(e,r,i,this.w),new n(e,r+1,i,this.w),new n(e,r,i+1,this.w),new n(e,r+1,i+1,this.w)]},n.cover=function(t,e,r){function i(t,e,i){var s,l,u;if(i>=0&&i<=a)for(s=t;s<e;s++)l=(s%a+a)%a,u=new n(r,l,i,Math.floor(s/a)),o[u.id]=u}var a=1<<t,o={};return s(e[0],e[1],e[2],0,a,i),s(e[2],e[3],e[0],0,a,i),Object.keys(o).map(function(t){return o[t]})}},{\"../geo/coordinate\":338,assert:47,\"whoots-js\":566}],370:[function(t,e,r){\"use strict\";function n(t,e,r){if(this.id=t,this.dispatcher=r,a.extend(this,a.pick(e,[\"url\",\"scheme\",\"tileSize\"])),this._options=a.extend({type:\"vector\"},e),512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");o(e,function(t,e){if(t)return void this.fire(\"error\",t);a.extend(this,e),this.fire(\"load\")}.bind(this))}var i=t(\"../util/evented\"),a=t(\"../util/util\"),o=t(\"./load_tilejson\"),s=t(\"../util/mapbox\").normalizeTileURL;e.exports=n,n.prototype=a.inherit(i,{minzoom:0,maxzoom:22,scheme:\"xyz\",tileSize:512,reparseOverscaled:!0,isTileClipped:!0,onAdd:function(t){this.map=t},serialize:function(){return a.extend({},this._options)},loadTile:function(t,e){function r(r,n){if(!t.aborted){if(r)return e(r);t.loadVectorData(n,this.map.style),t.redoWhenDone&&(t.redoWhenDone=!1,t.redoPlacement(this)),e(null),t.reloadCallback&&(this.loadTile(t,t.reloadCallback),t.reloadCallback=null)}}var n=t.coord.z>this.maxzoom?Math.pow(2,t.coord.z-this.maxzoom):1,i={url:s(t.coord.url(this.tiles,this.maxzoom,this.scheme),this.url),uid:t.uid,coord:t.coord,zoom:t.coord.z,tileSize:this.tileSize*n,source:this.id,overscaling:n,angle:this.map.transform.angle,pitch:this.map.transform.pitch,showCollisionBoxes:this.map.showCollisionBoxes};t.workerID?\"loading\"===t.state?t.reloadCallback=e:(i.rawTileData=t.rawTileData,this.dispatcher.send(\"reload tile\",i,r.bind(this),t.workerID)):t.workerID=this.dispatcher.send(\"load tile\",i,r.bind(this))},abortTile:function(t){this.dispatcher.send(\"abort tile\",{uid:t.uid,source:this.id},null,t.workerID)},unloadTile:function(t){t.unloadVectorData(this.map.painter),this.dispatcher.send(\"remove tile\",{uid:t.uid,source:this.id},null,t.workerID)}})},{\"../util/evented\":434,\"../util/mapbox\":439,\"../util/util\":442,\"./load_tilejson\":362}],371:[function(t,e,r){\"use strict\";function n(t,e,r){this.actor=t,this.styleLayers=e,r&&(this.loadVectorData=r),this.loading={},this.loaded={}}var i=t(\"../util/ajax\"),a=t(\"vector-tile\"),o=t(\"pbf\"),s=t(\"./worker_tile\");e.exports=n,n.prototype={loadTile:function(t,e){function r(t,r){return delete this.loading[n][i],t?e(t):r?(a.data=r.tile,a.parse(a.data,this.styleLayers.getLayerFamilies(),this.actor,r.rawTileData,e),this.loaded[n]=this.loaded[n]||{},void(this.loaded[n][i]=a)):e(null,null)}var n=t.source,i=t.uid;this.loading[n]||(this.loading[n]={});var a=this.loading[n][i]=new s(t);a.abort=this.loadVectorData(t,r.bind(this))},reloadTile:function(t,e){var r=this.loaded[t.source],n=t.uid;if(r&&r[n]){var i=r[n];i.parse(i.data,this.styleLayers.getLayerFamilies(),this.actor,t.rawTileData,e)}},abortTile:function(t){var e=this.loading[t.source],r=t.uid;e&&e[r]&&e[r].abort&&(e[r].abort(),delete e[r])},removeTile:function(t){var e=this.loaded[t.source],r=t.uid;e&&e[r]&&delete e[r]},loadVectorData:function(t,e){function r(t,r){if(t)return e(t);var n=new a.VectorTile(new o(new Uint8Array(r)));e(t,{tile:n,rawTileData:r})}var n=i.getArrayBuffer(t.url,r.bind(this));return function(){n.abort()}},redoPlacement:function(t,e){var r=this.loaded[t.source],n=this.loading[t.source],i=t.uid;if(r&&r[i]){var a=r[i],o=a.redoPlacement(t.angle,t.pitch,t.showCollisionBoxes);o.result&&e(null,o.result,o.transferables)}else n&&n[i]&&(n[i].angle=t.angle)}}},{\"../util/ajax\":425,\"./worker_tile\":374,pbf:478,\"vector-tile\":550}],372:[function(t,e,r){\"use strict\";function n(t,e){this.id=t,this.urls=e.urls,this.coordinates=e.coordinates,u.getVideo(e.urls,function(t,r){if(t)return this.fire(\"error\",{error:t});this.video=r,this.video.loop=!0;var n;this.video.addEventListener(\"playing\",function(){n=this.map.style.animationLoop.set(1/0),this.map._rerender()}.bind(this)),this.video.addEventListener(\"pause\",function(){this.map.style.animationLoop.cancel(n)}.bind(this)),this.map&&(this.video.play(),this.setCoordinates(e.coordinates)),this.fire(\"load\")}.bind(this))}var i=t(\"../util/util\"),a=t(\"./tile_coord\"),o=t(\"../geo/lng_lat\"),s=t(\"point-geometry\"),l=t(\"../util/evented\"),u=t(\"../util/ajax\"),c=t(\"../data/bucket\").EXTENT,h=t(\"../render/draw_raster\").RasterBoundsArray,f=t(\"../data/buffer\"),d=t(\"../render/vertex_array_object\");e.exports=n,n.prototype=i.inherit(l,{minzoom:0,maxzoom:22,tileSize:512,roundZoom:!0,getVideo:function(){return this.video},onAdd:function(t){this.map||(this.map=t,this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},setCoordinates:function(t){this.coordinates=t;var e=this.map,r=t.map(function(t){return e.transform.locationCoordinate(o.convert(t)).zoomTo(0)}),n=this.centerCoord=i.getCoordinatesCenter(r);return n.column=Math.round(n.column),n.row=Math.round(n.row),this.minzoom=this.maxzoom=n.zoom,this._coord=new a(n.zoom,n.column,n.row),this._tileCoords=r.map(function(t){var e=t.zoomTo(n.zoom);return new s(Math.round((e.column-n.column)*c),Math.round((e.row-n.row)*c))}),this.fire(\"change\"),this},_setTile:function(t){this._prepared=!1,this.tile=t;var e=new h;e.emplaceBack(this._tileCoords[0].x,this._tileCoords[0].y,0,0),e.emplaceBack(this._tileCoords[1].x,this._tileCoords[1].y,32767,0),e.emplaceBack(this._tileCoords[3].x,this._tileCoords[3].y,0,32767),e.emplaceBack(this._tileCoords[2].x,this._tileCoords[2].y,32767,32767),this.tile.buckets={},this.tile.boundsBuffer=new f(e.serialize(),h.serialize(),f.BufferType.VERTEX),this.tile.boundsVAO=new d,this.tile.state=\"loaded\"},prepare:function(){if(!(this.video.readyState<2)&&this.tile){var t=this.map.painter.gl;this._prepared?(t.bindTexture(t.TEXTURE_2D,this.tile.texture),t.texSubImage2D(t.TEXTURE_2D,0,0,0,t.RGBA,t.UNSIGNED_BYTE,this.video)):(this._prepared=!0,this.tile.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.tile.texture),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),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.LINEAR),t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,this.video)),this._currentTime=this.video.currentTime}},loadTile:function(t,e){this._coord&&this._coord.toString()===t.coord.toString()?(this._setTile(t),e(null)):(t.state=\"errored\",e(null))},serialize:function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}}})},{\"../data/bucket\":329,\"../data/buffer\":334,\"../geo/lng_lat\":339,\"../render/draw_raster\":351,\"../render/vertex_array_object\":357,\"../util/ajax\":425,\"../util/evented\":434,\"../util/util\":442,\"./tile_coord\":369,\"point-geometry\":484}],373:[function(t,e,r){\"use strict\";function n(t){this.self=t,this.actor=new a(t,this);var e={getLayers:function(){return this.layers}.bind(this),getLayerFamilies:function(){return this.layerFamilies}.bind(this)};this.workerSources={vector:new l(this.actor,e),geojson:new u(this.actor,e)},this.self.registerWorkerSource=function(t,r){if(this.workerSources[t])throw new Error('Worker source with name \"'+t+'\" already registered.');this.workerSources[t]=new r(this.actor,e)}.bind(this)}function i(t){var e={};for(var r in t){var n=t[r],i=n.ref||n.id,a=t[i];a.layout&&\"none\"===a.layout.visibility||(e[i]=e[i]||[],r===i?e[i].unshift(n):e[i].push(n))}return e}var a=t(\"../util/actor\"),o=t(\"../style/style_layer\"),s=t(\"../util/util\"),l=t(\"./vector_tile_worker_source\"),u=t(\"./geojson_worker_source\");e.exports=function(t){return new n(t)},s.extend(n.prototype,{\"set layers\":function(t){function e(t){var e=o.create(t,t.ref&&r.layers[t.ref]);e.updatePaintTransitions({},{transition:!1}),r.layers[e.id]=e}this.layers={};for(var r=this,n=[],a=0;a<t.length;a++){var s=t[a];\"fill\"!==s.type&&\"line\"!==s.type&&\"circle\"!==s.type&&\"symbol\"!==s.type||(s.ref?n.push(a):e(s))}for(var l=0;l<n.length;l++)e(t[n[l]]);this.layerFamilies=i(this.layers)},\"update layers\":function(t){function e(t){var e=a.layers[t.ref];a.layers[t.id]?a.layers[t.id].set(t,e):a.layers[t.id]=o.create(t,e),a.layers[t.id].updatePaintTransitions({},{transition:!1})}var r,n,a=this;for(r in t)n=t[r],n.ref&&e(n);for(r in t)n=t[r],n.ref||e(n);this.layerFamilies=i(this.layers)},\"load tile\":function(t,e){var r=t.type||\"vector\";this.workerSources[r].loadTile(t,e)},\"reload tile\":function(t,e){var r=t.type||\"vector\";this.workerSources[r].reloadTile(t,e)},\"abort tile\":function(t){var e=t.type||\"vector\";this.workerSources[e].abortTile(t)},\"remove tile\":function(t){var e=t.type||\"vector\";this.workerSources[e].removeTile(t)},\"redo placement\":function(t,e){var r=t.type||\"vector\";this.workerSources[r].redoPlacement(t,e)},\"load worker source\":function(t,e){try{this.self.importScripts(t.url),e()}catch(t){e(t)}}})},{\"../style/style_layer\":381,\"../util/actor\":424,\"../util/util\":442,\"./geojson_worker_source\":359,\"./vector_tile_worker_source\":371}],374:[function(t,e,r){\"use strict\";function n(t){this.coord=t.coord,this.uid=t.uid,this.zoom=t.zoom,this.tileSize=t.tileSize,this.source=t.source,this.overscaling=t.overscaling,this.angle=t.angle,this.pitch=t.pitch,this.showCollisionBoxes=t.showCollisionBoxes}function i(t){return!t.isEmpty()}function a(t){return t.serialize()}function o(t){var e=[];for(var r in t)t[r].getTransferables(e);return e}function s(t){return t.id}var l=t(\"../data/feature_index\"),u=t(\"../symbol/collision_tile\"),c=t(\"../data/bucket\"),h=t(\"../symbol/collision_box\"),f=t(\"../util/dictionary_coder\"),d=t(\"../util/util\"),p=t(\"../symbol/symbol_instances\"),m=t(\"../symbol/symbol_quads\");e.exports=n,n.prototype.parse=function(t,e,r,n,v){function g(t,e){for(var r=0;r<t.length;r++){var n=t.feature(r);n.index=r;for(var i in e)e[i].filter(n)&&e[i].features.push(n)}}function y(t){if(t)return v(t);if(2===++N){for(var e=P.length-1;e>=0;e--)b(E,P[e]);x()}}function b(t,e){if(e.populateArrays(A,j,F),\"symbol\"!==e.type)for(var r=0;r<e.features.length;r++){var n=e.features[r];T.insert(n,n.index,e.sourceLayerIndex,e.index)}e.features=null}function x(){E.status=\"done\",E.redoPlacementAfterDone&&(E.redoPlacement(E.angle,E.pitch,null),E.redoPlacementAfterDone=!1);var t=T.serialize(),e=A.serialize(),r=E.collisionBoxArray.serialize(),s=E.symbolInstancesArray.serialize(),l=E.symbolQuadsArray.serialize(),u=[n].concat(t.transferables).concat(e.transferables),c=D.filter(i);v(null,{buckets:c.map(a),featureIndex:t.data,collisionTile:e.data,collisionBoxArray:r,symbolInstancesArray:s,symbolQuadsArray:l,rawTileData:n},o(c).concat(u))}this.status=\"parsing\",this.data=t,this.collisionBoxArray=new h,this.symbolInstancesArray=new p,this.symbolQuadsArray=new m;var _,w,M,k,A=new u(this.angle,this.pitch,this.collisionBoxArray),T=new l(this.coord,this.overscaling,A,t.layers),S=new f(t.layers?Object.keys(t.layers).sort():[\"_geojsonTileLayer\"]),E=this,L={},C={},I=0;for(var z in e)w=e[z][0],w.source===this.source&&(w.ref||w.minzoom&&this.zoom<w.minzoom||w.maxzoom&&this.zoom>=w.maxzoom||w.layout&&\"none\"===w.layout.visibility||t.layers&&!t.layers[w.sourceLayer]||(k=c.create({layer:w,index:I++,childLayers:e[z],zoom:this.zoom,overscaling:this.overscaling,showCollisionBoxes:this.showCollisionBoxes,collisionBoxArray:this.collisionBoxArray,symbolQuadsArray:this.symbolQuadsArray,symbolInstancesArray:this.symbolInstancesArray,sourceLayerIndex:S.encode(w.sourceLayer||\"_geojsonTileLayer\")}),k.createFilter(),L[w.id]=k,t.layers&&(M=w.sourceLayer,C[M]=C[M]||{},C[M][w.id]=k)));if(t.layers)for(M in C)1===w.version&&d.warnOnce('Vector tile source \"'+this.source+'\" layer \"'+M+'\" does not use vector tile spec v2 and therefore may have some rendering errors.'),(w=t.layers[M])&&g(w,C[M]);else g(t,L);var D=[],P=this.symbolBuckets=[],O=[];T.bucketLayerIDs={};for(var R in L)k=L[R],0!==k.features.length&&(T.bucketLayerIDs[k.index]=k.childLayers.map(s),D.push(k),\"symbol\"===k.type?P.push(k):O.push(k));var F={},j={},N=0;if(P.length>0){for(_=P.length-1;_>=0;_--)P[_].updateIcons(F),P[_].updateFont(j);for(var B in j)j[B]=Object.keys(j[B]).map(Number);F=Object.keys(F),r.send(\"get glyphs\",{uid:this.uid,stacks:j},function(t,e){j=e,y(t)}),F.length?r.send(\"get icons\",{icons:F},function(t,e){F=e,y(t)}):y()}for(_=O.length-1;_>=0;_--)b(this,O[_]);if(0===P.length)return x()},n.prototype.redoPlacement=function(t,e,r){if(\"done\"!==this.status)return this.redoPlacementAfterDone=!0,this.angle=t,{};for(var n=new u(t,e,this.collisionBoxArray),s=this.symbolBuckets,l=s.length-1;l>=0;l--)s[l].placeFeatures(n,r);var c=n.serialize(),h=s.filter(i);return{result:{buckets:h.map(a),collisionTile:c.data},transferables:o(h).concat(c.transferables)}}},{\"../data/bucket\":329,\"../data/feature_index\":336,\"../symbol/collision_box\":394,\"../symbol/collision_tile\":396,\"../symbol/symbol_instances\":405,\"../symbol/symbol_quads\":406,\"../util/dictionary_coder\":432,\"../util/util\":442}],375:[function(t,e,r){\"use strict\";function n(){this.n=0,this.times=[]}e.exports=n,n.prototype.stopped=function(){return this.times=this.times.filter(function(t){return t.time>=(new Date).getTime()}),!this.times.length},n.prototype.set=function(t){return this.times.push({id:this.n,time:t+(new Date).getTime()}),this.n++},n.prototype.cancel=function(t){this.times=this.times.filter(function(e){return e.id!==t})}},{}],376:[function(t,e,r){\"use strict\";function n(t){this.base=t,this.retina=s.devicePixelRatio>1;var e=this.retina?\"@2x\":\"\";o.getJSON(l(t,e,\".json\"),function(t,e){if(t)return void this.fire(\"error\",{error:t});this.data=e,this.img&&this.fire(\"load\")}.bind(this)),o.getImage(l(t,e,\".png\"),function(t,e){if(t)return void this.fire(\"error\",{error:t});for(var r=e.getData(),n=e.data=new Uint8Array(r.length),i=0;i<r.length;i+=4){var a=r[i+3]/255;n[i+0]=r[i+0]*a,n[i+1]=r[i+1]*a,n[i+2]=r[i+2]*a,n[i+3]=r[i+3]}this.img=e,this.data&&this.fire(\"load\")}.bind(this))}function i(){}var a=t(\"../util/evented\"),o=t(\"../util/ajax\"),s=t(\"../util/browser\"),l=t(\"../util/mapbox\").normalizeSpriteURL;e.exports=n,n.prototype=Object.create(a),n.prototype.toJSON=function(){return this.base},n.prototype.loaded=function(){return!(!this.data||!this.img)},n.prototype.resize=function(){if(s.devicePixelRatio>1!==this.retina){var t=new n(this.base);t.on(\"load\",function(){this.img=t.img,this.data=t.data,this.retina=t.retina}.bind(this))}},i.prototype={x:0,y:0,width:0,height:0,pixelRatio:1,sdf:!1},n.prototype.getSpritePosition=function(t){if(!this.loaded())return new i;var e=this.data&&this.data[t];return e&&this.img?e:new i}},{\"../util/ajax\":425,\"../util/browser\":426,\"../util/evented\":434,\"../util/mapbox\":439}],377:[function(t,e,r){\"use strict\";var n=t(\"csscolorparser\").parseCSSColor,i=t(\"../util/util\"),a=t(\"./style_function\"),o={};e.exports=function t(e){if(a.isFunctionDefinition(e))return i.extend({},e,{stops:e.stops.map(function(e){return[e[0],t(e[1])]})});if(\"string\"==typeof e){if(!o[e]){var r=n(e);if(!r)throw new Error(\"Invalid color \"+e);o[e]=[r[0]/255*r[3],r[1]/255*r[3],r[2]/255*r[3],r[3]]}return o[e]}throw new Error(\"Invalid color \"+e)}},{\"../util/util\":442,\"./style_function\":380,csscolorparser:108}],378:[function(t,e,r){\"use strict\";function n(t,e,r){this.animationLoop=e||new m,this.dispatcher=new p(r||1,this),this.spriteAtlas=new l(1024,1024),this.lineAtlas=new u(256,512),this._layers={},this._order=[],this._groups=[],this.sources={},this.zoomHistory={},c.bindAll([\"_forwardSourceEvent\",\"_forwardTileEvent\",\"_forwardLayerEvent\",\"_redoPlacement\"],this),this._resetUpdates();var n=function(t,e){if(t)return void this.fire(\"error\",{error:t});if(!v.emitErrors(this,v(e))){this._loaded=!0,this.stylesheet=e,this.updateClasses();var r=e.sources;for(var n in r)this.addSource(n,r[n]);e.sprite&&(this.sprite=new o(e.sprite),this.sprite.on(\"load\",this.fire.bind(this,\"change\"))),this.glyphSource=new s(e.glyphs),this._resolve(),this.fire(\"load\")}}.bind(this);\"string\"==typeof t?h.getJSON(f(t),n):d.frame(n.bind(this,null,t)),this.on(\"source.load\",function(t){var e=t.source;if(e&&e.vectorLayerIds)for(var r in this._layers){var n=this._layers[r];n.source===e.id&&this._validateLayer(n)}})}var i=t(\"../util/evented\"),a=t(\"./style_layer\"),o=t(\"./image_sprite\"),s=t(\"../symbol/glyph_source\"),l=t(\"../symbol/sprite_atlas\"),u=t(\"../render/line_atlas\"),c=t(\"../util/util\"),h=t(\"../util/ajax\"),f=t(\"../util/mapbox\").normalizeStyleURL,d=t(\"../util/browser\"),p=t(\"../util/dispatcher\"),m=t(\"./animation_loop\"),v=t(\"./validate_style\"),g=t(\"../source/source\"),y=t(\"../source/query_features\"),b=t(\"../source/source_cache\"),x=t(\"./style_spec\"),_=t(\"./style_function\");e.exports=n,n.prototype=c.inherit(i,{_loaded:!1,_validateLayer:function(t){var e=this.sources[t.source];t.sourceLayer&&e&&e.vectorLayerIds&&-1===e.vectorLayerIds.indexOf(t.sourceLayer)&&this.fire(\"error\",{error:new Error('Source layer \"'+t.sourceLayer+'\" does not exist on source \"'+e.id+'\" as specified by style layer \"'+t.id+'\"')})},loaded:function(){if(!this._loaded)return!1;if(Object.keys(this._updates.sources).length)return!1;for(var t in this.sources)if(!this.sources[t].loaded())return!1;return!(this.sprite&&!this.sprite.loaded())},_resolve:function(){var t,e;this._layers={},this._order=this.stylesheet.layers.map(function(t){return t.id});for(var r=0;r<this.stylesheet.layers.length;r++)e=this.stylesheet.layers[r],e.ref||(t=a.create(e),this._layers[t.id]=t,t.on(\"error\",this._forwardLayerEvent));for(var n=0;n<this.stylesheet.layers.length;n++)if(e=this.stylesheet.layers[n],e.ref){var i=this.getLayer(e.ref);t=a.create(e,i),this._layers[t.id]=t,t.on(\"error\",this._forwardLayerEvent)}this._groupLayers(),this._updateWorkerLayers()},_groupLayers:function(){var t;this._groups=[];for(var e=0;e<this._order.length;++e){var r=this._layers[this._order[e]];t&&r.source===t.source||(t=[],t.source=r.source,this._groups.push(t)),t.push(r)}},_updateWorkerLayers:function(t){this.dispatcher.broadcast(t?\"update layers\":\"set layers\",this._serializeLayers(t))},_serializeLayers:function(t){t=t||this._order;for(var e=[],r={includeRefProperties:!0},n=0;n<t.length;n++)e.push(this._layers[t[n]].serialize(r));return e},_applyClasses:function(t,e){if(this._loaded){t=t||[],e=e||{transition:!0};var r=this.stylesheet.transition||{},n=this._updates.allPaintProps?this._layers:this._updates.paintProps;for(var i in n){var a=this._layers[i],o=this._updates.paintProps[i];if(this._updates.allPaintProps||o.all)a.updatePaintTransitions(t,e,r,this.animationLoop);else for(var s in o)this._layers[i].updatePaintTransition(s,t,e,r,this.animationLoop)}}},_recalculate:function(t){for(var e in this.sources)this.sources[e].used=!1;this._updateZoomHistory(t),this.rasterFadeDuration=300;for(var r in this._layers){var n=this._layers[r];n.recalculate(t,this.zoomHistory),!n.isHidden(t)&&n.source&&(this.sources[n.source].used=!0)}Math.floor(this.z)!==Math.floor(t)&&this.animationLoop.set(300),this.z=t,this.fire(\"zoom\")},_updateZoomHistory:function(t){var e=this.zoomHistory;void 0===e.lastIntegerZoom&&(e.lastIntegerZoom=Math.floor(t),e.lastIntegerZoomTime=0,e.lastZoom=t),Math.floor(e.lastZoom)<Math.floor(t)?(e.lastIntegerZoom=Math.floor(t),e.lastIntegerZoomTime=Date.now()):Math.floor(e.lastZoom)>Math.floor(t)&&(e.lastIntegerZoom=Math.floor(t+1),e.lastIntegerZoomTime=Date.now()),e.lastZoom=t},_checkLoaded:function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},update:function(t,e){if(!this._updates.changed)return this;if(this._updates.allLayers)this._groupLayers(),this._updateWorkerLayers();else{var r=Object.keys(this._updates.layers);r.length&&this._updateWorkerLayers(r)}var n,i=Object.keys(this._updates.sources);for(n=0;n<i.length;n++)this._reloadSource(i[n]);for(n=0;n<this._updates.events.length;n++){var a=this._updates.events[n];this.fire(a[0],a[1])}return this._applyClasses(t,e),this._updates.changed&&this.fire(\"change\"),this._resetUpdates(),this},_resetUpdates:function(){this._updates={events:[],layers:{},sources:{},paintProps:{}}},addSource:function(t,e){if(this._checkLoaded(),void 0!==this.sources[t])throw new Error(\"There is already a source with this ID\");if(!e.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(e)+\".\");return[\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(e.type)>=0&&this._handleErrors(v.source,\"sources.\"+t,e)?this:(e=new b(t,e,this.dispatcher),this.sources[t]=e,e.style=this,e.on(\"load\",this._forwardSourceEvent).on(\"error\",this._forwardSourceEvent).on(\"change\",this._forwardSourceEvent).on(\"tile.add\",this._forwardTileEvent).on(\"tile.load\",this._forwardTileEvent).on(\"tile.error\",this._forwardTileEvent).on(\"tile.remove\",this._forwardTileEvent).on(\"tile.stats\",this._forwardTileEvent),this._updates.events.push([\"source.add\",{source:e}]),this._updates.changed=!0,this)},removeSource:function(t){if(this._checkLoaded(),void 0===this.sources[t])throw new Error(\"There is no source with this ID\");var e=this.sources[t];return delete this.sources[t],delete this._updates.sources[t],e.off(\"load\",this._forwardSourceEvent).off(\"error\",this._forwardSourceEvent).off(\"change\",this._forwardSourceEvent).off(\"tile.add\",this._forwardTileEvent).off(\"tile.load\",this._forwardTileEvent).off(\"tile.error\",this._forwardTileEvent).off(\"tile.remove\",this._forwardTileEvent).off(\"tile.stats\",this._forwardTileEvent),this._updates.events.push([\"source.remove\",{source:e}]),this._updates.changed=!0,this},getSource:function(t){return this.sources[t]&&this.sources[t].getSource()},addLayer:function(t,e){if(this._checkLoaded(),!(t instanceof a)){if(this._handleErrors(v.layer,\"layers.\"+t.id,t,!1,{arrayIndex:-1}))return this;var r=t.ref&&this.getLayer(t.ref);t=a.create(t,r)}return this._validateLayer(t),t.on(\"error\",this._forwardLayerEvent),this._layers[t.id]=t,this._order.splice(e?this._order.indexOf(e):1/0,0,t.id),this._updates.allLayers=!0,t.source&&(this._updates.sources[t.source]=!0),this._updates.events.push([\"layer.add\",{layer:t}]),this.updateClasses(t.id)},removeLayer:function(t){this._checkLoaded();var e=this._layers[t];if(void 0===e)throw new Error(\"There is no layer with this ID\");for(var r in this._layers)this._layers[r].ref===t&&this.removeLayer(r);return e.off(\"error\",this._forwardLayerEvent),delete this._layers[t],delete this._updates.layers[t],delete this._updates.paintProps[t],this._order.splice(this._order.indexOf(t),1),this._updates.allLayers=!0,this._updates.events.push([\"layer.remove\",{layer:e}]),this._updates.changed=!0,this},getLayer:function(t){return this._layers[t]},getReferentLayer:function(t){var e=this.getLayer(t);return e.ref&&(e=this.getLayer(e.ref)),e},setLayerZoomRange:function(t,e,r){this._checkLoaded();var n=this.getReferentLayer(t);return n.minzoom===e&&n.maxzoom===r?this:(null!=e&&(n.minzoom=e),null!=r&&(n.maxzoom=r),this._updateLayer(n))},setFilter:function(t,e){this._checkLoaded();var r=this.getReferentLayer(t);return null!==e&&this._handleErrors(v.filter,\"layers.\"+r.id+\".filter\",e)?this:c.deepEqual(r.filter,e)?this:(r.filter=c.clone(e),this._updateLayer(r))},getFilter:function(t){return this.getReferentLayer(t).filter},setLayoutProperty:function(t,e,r){this._checkLoaded();var n=this.getReferentLayer(t);return c.deepEqual(n.getLayoutProperty(e),r)?this:(n.setLayoutProperty(e,r),this._updateLayer(n))},getLayoutProperty:function(t,e){return this.getReferentLayer(t).getLayoutProperty(e)},setPaintProperty:function(t,e,r,n){this._checkLoaded();var i=this.getLayer(t);if(c.deepEqual(i.getPaintProperty(e,n),r))return this;var a=i.isPaintValueFeatureConstant(e);return i.setPaintProperty(e,r,n),!(r&&_.isFunctionDefinition(r)&&\"$zoom\"!==r.property&&void 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this._updates.layers[t.id]=!0,t.source&&(this._updates.sources[t.source]=!0),this._updates.changed=!0,this},_flattenRenderedFeatures:function(t){for(var e=[],r=this._order.length-1;r>=0;r--)for(var n=this._order[r],i=0;i<t.length;i++){var a=t[i][n];if(a)for(var o=0;o<a.length;o++)e.push(a[o])}return e},queryRenderedFeatures:function(t,e,r,n){\n",
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r=\"color\"===t.type&&this.value?o(this.value):e;if(this.calculate=a[t.function||\"piecewise-constant\"](r),this.isFeatureConstant=this.calculate.isFeatureConstant,this.isZoomConstant=this.calculate.isZoomConstant,\"piecewise-constant\"===t.function&&t.transition&&(this.calculate=i(this.calculate)),!this.isFeatureConstant&&!this.isZoomConstant){this.stopZoomLevels=[];for(var n=[],l=this.value.stops,u=0;u<this.value.stops.length;u++){var c=l[u][0].zoom;this.stopZoomLevels.indexOf(c)<0&&(this.stopZoomLevels.push(c),n.push([c,n.length]))}this.calculateInterpolationT=a.interpolated({stops:n,base:e.base})}}function i(t){return function(e,r){var n,i,a,o=e.zoom,s=e.zoomHistory,l=e.duration,u=o%1,c=Math.min((Date.now()-s.lastIntegerZoomTime)/l,1),h=1;return o>s.lastIntegerZoom?(n=u+(1-u)*c,h*=2,i=t({zoom:o-1},r),a=t({zoom:o},r)):(n=1-(1-c)*u,a=t({zoom:o},r),i=t({zoom:o+1},r),h/=2),void 0===i||void 0===a?void 0:{from:i,fromScale:h,to:a,toScale:1,t:n}}}var a=t(\"./style_function\"),o=t(\"./parse_color\"),s=t(\"../util/util\");e.exports=n},{\"../util/util\":442,\"./parse_color\":377,\"./style_function\":380}],380:[function(t,e,r){\"use strict\";var n=t(\"mapbox-gl-function\");r.interpolated=function(t){var e=n.interpolated(t),r=function(t,r){return e(t&&t.zoom,r||{})};return r.isFeatureConstant=e.isFeatureConstant,r.isZoomConstant=e.isZoomConstant,r},r[\"piecewise-constant\"]=function(t){var e=n[\"piecewise-constant\"](t),r=function(t,r){return e(t&&t.zoom,r||{})};return r.isFeatureConstant=e.isFeatureConstant,r.isZoomConstant=e.isZoomConstant,r},r.isFunctionDefinition=n.isFunctionDefinition},{\"mapbox-gl-function\":302}],381:[function(t,e,r){\"use strict\";function n(t,e){this.set(t,e)}function i(t){return t.value}var a=t(\"../util/util\"),o=t(\"./style_transition\"),s=t(\"./style_declaration\"),l=t(\"./style_spec\"),u=t(\"./validate_style\"),c=t(\"./parse_color\"),h=t(\"../util/evented\");e.exports=n;n.create=function(e,r){return new({background:t(\"./style_layer/background_style_layer\"),circle:t(\"./style_layer/circle_style_layer\"),fill:t(\"./style_layer/fill_style_layer\"),line:t(\"./style_layer/line_style_layer\"),raster:t(\"./style_layer/raster_style_layer\"),symbol:t(\"./style_layer/symbol_style_layer\")}[(r||e).type])(e,r)},n.prototype=a.inherit(h,{set:function(t,e){this.id=t.id,this.ref=t.ref,this.metadata=t.metadata,this.type=(e||t).type,this.source=(e||t).source,this.sourceLayer=(e||t)[\"source-layer\"],this.minzoom=(e||t).minzoom,this.maxzoom=(e||t).maxzoom,this.filter=(e||t).filter,this.paint={},this.layout={},this._paintSpecifications=l[\"paint_\"+this.type],this._layoutSpecifications=l[\"layout_\"+this.type],this._paintTransitions={},this._paintTransitionOptions={},this._paintDeclarations={},this._layoutDeclarations={},this._layoutFunctions={};var r,n;for(var i in t){var a=i.match(/^paint(?:\\.(.*))?$/);if(a){var o=a[1]||\"\";for(r in t[i])this.setPaintProperty(r,t[i][r],o)}}if(this.ref)this._layoutDeclarations=e._layoutDeclarations;else for(n in t.layout)this.setLayoutProperty(n,t.layout[n]);for(r in this._paintSpecifications)this.paint[r]=this.getPaintValue(r);for(n in this._layoutSpecifications)this._updateLayoutValue(n)},setLayoutProperty:function(t,e){if(null==e)delete this._layoutDeclarations[t];else{var r=\"layers.\"+this.id+\".layout.\"+t;if(this._handleErrors(u.layoutProperty,r,t,e))return;this._layoutDeclarations[t]=new s(this._layoutSpecifications[t],e)}this._updateLayoutValue(t)},getLayoutProperty:function(t){return this._layoutDeclarations[t]&&this._layoutDeclarations[t].value},getLayoutValue:function(t,e,r){var n=this._layoutSpecifications[t],i=this._layoutDeclarations[t];return i?i.calculate(e,r):n.default},setPaintProperty:function(t,e,r){var n=\"layers.\"+this.id+(r?'[\"paint.'+r+'\"].':\".paint.\")+t;if(a.endsWith(t,\"-transition\"))if(this._paintTransitionOptions[r||\"\"]||(this._paintTransitionOptions[r||\"\"]={}),null===e||void 0===e)delete this._paintTransitionOptions[r||\"\"][t];else{if(this._handleErrors(u.paintProperty,n,t,e))return;this._paintTransitionOptions[r||\"\"][t]=e}else if(this._paintDeclarations[r||\"\"]||(this._paintDeclarations[r||\"\"]={}),null===e||void 0===e)delete this._paintDeclarations[r||\"\"][t];else{if(this._handleErrors(u.paintProperty,n,t,e))return;this._paintDeclarations[r||\"\"][t]=new s(this._paintSpecifications[t],e)}},getPaintProperty:function(t,e){return e=e||\"\",a.endsWith(t,\"-transition\")?this._paintTransitionOptions[e]&&this._paintTransitionOptions[e][t]:this._paintDeclarations[e]&&this._paintDeclarations[e][t]&&this._paintDeclarations[e][t].value},getPaintValue:function(t,e,r){var n=this._paintSpecifications[t],i=this._paintTransitions[t];return 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this._paintDeclarations){e[\"\"===r?\"paint\":\"paint.\"+r]=a.mapObject(this._paintDeclarations[r],i)}return(!this.ref||t&&t.includeRefProperties)&&a.extend(e,{type:this.type,source:this.source,\"source-layer\":this.sourceLayer,filter:this.filter,layout:a.mapObject(this._layoutDeclarations,i)}),a.filterObject(e,function(t,e){return void 0!==t&&!(\"layout\"===e&&!Object.keys(t).length)})},_applyPaintDeclaration:function(t,e,r,n,i){var l=r.transition?this._paintTransitions[t]:void 0,u=this._paintSpecifications[t];if(null!==e&&void 0!==e||(e=new s(u,u.default)),!l||l.declaration.json!==e.json){var c=a.extend({duration:300,delay:0},n,this.getPaintProperty(t+\"-transition\")),h=this._paintTransitions[t]=new o(u,e,l,c);h.instant()||(h.loopID=i.set(h.endTime-Date.now())),l&&i.cancel(l.loopID)}},_updateLayoutValue:function(t){var e=this._layoutDeclarations[t];e&&e.isFunction?this._layoutFunctions[t]=!0:(delete this._layoutFunctions[t],this.layout[t]=this.getLayoutValue(t))},_handleErrors:function(t,e,r,n){return u.emitErrors(this,t.call(u,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:l,style:{glyphs:!0,sprite:!0}}))}})},{\"../util/evented\":434,\"../util/util\":442,\"./parse_color\":377,\"./style_declaration\":379,\"./style_layer/background_style_layer\":382,\"./style_layer/circle_style_layer\":383,\"./style_layer/fill_style_layer\":384,\"./style_layer/line_style_layer\":385,\"./style_layer/raster_style_layer\":386,\"./style_layer/symbol_style_layer\":387,\"./style_spec\":388,\"./style_transition\":389,\"./validate_style\":390}],382:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{})},{\"../../util/util\":442,\"../style_layer\":381}],383:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{})},{\"../../util/util\":442,\"../style_layer\":381}],384:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");n.prototype=i.inherit(a,{getPaintValue:function(t,e,r){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.getPaintValue.call(this,\"fill-color\",e,r):a.prototype.getPaintValue.call(this,t,e,r)},getPaintValueStopZoomLevels:function(t){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.getPaintValueStopZoomLevels.call(this,\"fill-color\"):a.prototype.getPaintValueStopZoomLevels.call(this,arguments)},getPaintInterpolationT:function(t,e){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.getPaintInterpolationT.call(this,\"fill-color\",e):a.prototype.getPaintInterpolationT.call(this,t,e)},isPaintValueFeatureConstant:function(t){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.isPaintValueFeatureConstant.call(this,\"fill-color\"):a.prototype.isPaintValueFeatureConstant.call(this,t)},isPaintValueZoomConstant:function(t){return\"fill-outline-color\"===t&&void 0===this.getPaintProperty(\"fill-outline-color\")?a.prototype.isPaintValueZoomConstant.call(this,\"fill-color\"):a.prototype.isPaintValueZoomConstant.call(this,t)}}),e.exports=n},{\"../../util/util\":442,\"../style_layer\":381}],385:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{getPaintValue:function(t,e,r){var n=a.prototype.getPaintValue.apply(this,arguments);if(n&&\"line-dasharray\"===t){var i=Math.floor(e.zoom);this._flooredZoom!==i&&(this._flooredZoom=i,this._flooredLineWidth=this.getPaintValue(\"line-width\",e,r)),n.fromScale*=this._flooredLineWidth,n.toScale*=this._flooredLineWidth}return n}})},{\"../../util/util\":442,\"../style_layer\":381}],386:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{})},{\"../../util/util\":442,\"../style_layer\":381}],387:[function(t,e,r){\"use strict\";function n(){a.apply(this,arguments)}var i=t(\"../../util/util\"),a=t(\"../style_layer\");e.exports=n,n.prototype=i.inherit(a,{isHidden:function(){if(a.prototype.isHidden.apply(this,arguments))return!0;var t=0===this.paint[\"text-opacity\"]||!this.layout[\"text-field\"],e=0===this.paint[\"icon-opacity\"]||!this.layout[\"icon-image\"];return!(!t||!e)},getLayoutValue:function(t,e,r){return(\"text-rotation-alignment\"!==t||\"line\"!==this.getLayoutValue(\"symbol-placement\",e,r)||this.getLayoutProperty(\"text-rotation-alignment\"))&&(\"icon-rotation-alignment\"!==t||\"line\"!==this.getLayoutValue(\"symbol-placement\",e,r)||this.getLayoutProperty(\"icon-rotation-alignment\"))?\"text-pitch-alignment\"!==t||this.getLayoutProperty(\"text-pitch-alignment\")?a.prototype.getLayoutValue.apply(this,arguments):this.getLayoutValue(\"text-rotation-alignment\"):\"map\"}})},{\"../../util/util\":442,\"../style_layer\":381}],388:[function(t,e,r){\"use strict\";e.exports=t(\"mapbox-gl-style-spec/reference/latest.min\")},{\"mapbox-gl-style-spec/reference/latest.min\":325}],389:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.declaration=e,this.startTime=this.endTime=(new Date).getTime(),\"piecewise-constant\"===t.function&&t.transition?this.interp=i:this.interp=o[t.type],this.oldTransition=r,this.duration=n.duration||0,this.delay=n.delay||0,this.instant()||(this.endTime=this.startTime+this.duration+this.delay,this.ease=a.easeCubicInOut),r&&r.endTime<=this.startTime&&delete r.oldTransition}function i(t,e,r){return void 0===(t&&t.to)||void 0===(e&&e.to)?void 0:{from:t.to,fromScale:t.toScale,to:e.to,toScale:e.toScale,t:r}}var a=t(\"../util/util\"),o=t(\"../util/interpolate\");e.exports=n,n.prototype.instant=function(){return!this.oldTransition||!this.interp||0===this.duration&&0===this.delay},n.prototype.calculate=function(t,e){var r=this.declaration.calculate(a.extend({},t,{duration:this.duration}),e);if(this.instant())return r;var n=t.time||Date.now();if(n<this.endTime){var i=this.oldTransition.calculate(a.extend({},t,{time:this.startTime}),e),o=this.ease((n-this.startTime-this.delay)/this.duration);r=this.interp(i,r,o)}return r}},{\"../util/interpolate\":436,\"../util/util\":442}],390:[function(t,e,r){\"use strict\";e.exports=t(\"mapbox-gl-style-spec/lib/validate_style.min\"),e.exports.emitErrors=function(t,e){if(e&&e.length){for(var r=0;r<e.length;r++)t.fire(\"error\",{error:new Error(e[r].message)});return!0}return!1},e.exports.throwErrors=function(t,e){if(e)for(var r=0;r<e.length;r++)throw new Error(e[r].message)}},{\"mapbox-gl-style-spec/lib/validate_style.min\":324}],391:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.x=t,this.y=e,this.angle=r,void 0!==n&&(this.segment=n)}var i=t(\"point-geometry\");e.exports=n,n.prototype=Object.create(i.prototype),n.prototype.clone=function(){return new n(this.x,this.y,this.angle,this.segment)}},{\"point-geometry\":484}],392:[function(t,e,r){\"use strict\";function n(t,e,r,n,i){if(void 0===e.segment)return!0;for(var a=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],u=0;s<r/2;){var c=t[o-1],h=t[o],f=t[o+1];if(!f)return!1;var d=c.angleTo(h)-h.angleTo(f);for(d=Math.abs((d+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:d}),u+=d;s-l[0].distance>n;)u-=l.shift().angleDelta;if(u>i)return!1;o++,s+=h.dist(f)}return!0}e.exports=n},{}],393:[function(t,e,r){\"use strict\";function n(t,e,r,n,a){for(var o=[],s=0;s<t.length;s++)for(var l,u=t[s],c=0;c<u.length-1;c++){var h=u[c],f=u[c+1];h.x<e&&f.x<e||(h.x<e?h=new i(e,h.y+(f.y-h.y)*((e-h.x)/(f.x-h.x)))._round():f.x<e&&(f=new i(e,h.y+(f.y-h.y)*((e-h.x)/(f.x-h.x)))._round()),h.y<r&&f.y<r||(h.y<r?h=new i(h.x+(f.x-h.x)*((r-h.y)/(f.y-h.y)),r)._round():f.y<r&&(f=new i(h.x+(f.x-h.x)*((r-h.y)/(f.y-h.y)),r)._round()),h.x>=n&&f.x>=n||(h.x>=n?h=new i(n,h.y+(f.y-h.y)*((n-h.x)/(f.x-h.x)))._round():f.x>=n&&(f=new i(n,h.y+(f.y-h.y)*((n-h.x)/(f.x-h.x)))._round()),h.y>=a&&f.y>=a||(h.y>=a?h=new i(h.x+(f.x-h.x)*((a-h.y)/(f.y-h.y)),a)._round():f.y>=a&&(f=new i(h.x+(f.x-h.x)*((a-h.y)/(f.y-h.y)),a)._round()),l&&h.equals(l[l.length-1])||(l=[h],o.push(l)),l.push(f)))))}return o}var i=t(\"point-geometry\");e.exports=n},{\"point-geometry\":484}],394:[function(t,e,r){\"use strict\";var n=t(\"../util/struct_array\"),i=t(\"../util/util\"),a=t(\"point-geometry\"),o=e.exports=new n({members:[{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Int16\",name:\"x1\"},{type:\"Int16\",name:\"y1\"},{type:\"Int16\",name:\"x2\"},{type:\"Int16\",name:\"y2\"},{type:\"Float32\",name:\"maxScale\"},{type:\"Uint32\",name:\"featureIndex\"},{type:\"Uint16\",name:\"sourceLayerIndex\"},{type:\"Uint16\",name:\"bucketIndex\"},{type:\"Int16\",name:\"bbox0\"},{type:\"Int16\",name:\"bbox1\"},{type:\"Int16\",name:\"bbox2\"},{type:\"Int16\",name:\"bbox3\"},{type:\"Float32\",name:\"placementScale\"}]});i.extendAll(o.prototype.StructType.prototype,{get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)}})},{\"../util/struct_array\":440,\"../util/util\":442,\"point-geometry\":484}],395:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l,u,c){var h=o.top*s-l,f=o.bottom*s+l,d=o.left*s-l,p=o.right*s+l;if(this.boxStartIndex=t.length,u){var m=f-h,v=p-d;if(m>0)if(m=Math.max(10*s,m),c){var g=e[r.segment+1].sub(e[r.segment])._unit()._mult(v),y=[r.sub(g),r.add(g)];this._addLineCollisionBoxes(t,y,r,0,v,m,n,i,a)}else this._addLineCollisionBoxes(t,e,r,r.segment,v,m,n,i,a)}else t.emplaceBack(r.x,r.y,d,h,p,f,1/0,n,i,a,0,0,0,0,0);this.boxEndIndex=t.length}e.exports=n,n.prototype._addLineCollisionBoxes=function(t,e,r,n,i,a,o,s,l){var u=a/2,c=Math.floor(i/u),h=-a/2,f=this.boxes,d=r,p=n+1,m=h;do{if(--p<0)return f;m-=e[p].dist(d),d=e[p]}while(m>-i/2);for(var v=e[p].dist(e[p+1]),g=0;g<c;g++){for(var y=-i/2+g*u;m+v<y;){if(m+=v,++p+1>=e.length)return f;v=e[p].dist(e[p+1])}var b=y-m,x=e[p],_=e[p+1],w=_.sub(x)._unit()._mult(b)._add(x)._round(),M=Math.max(Math.abs(y-h)-u/2,0),k=i/2/M;t.emplaceBack(w.x,w.y,-a/2,-a/2,a/2,a/2,k,o,s,l,0,0,0,0,0)}return f}},{}],396:[function(t,e,r){\"use strict\";function n(t,e,r){if(\"object\"==typeof t){var n=t;r=e,t=n.angle,e=n.pitch,this.grid=new o(n.grid),this.ignoredGrid=new o(n.ignoredGrid)}else this.grid=new o(a,12,6),this.ignoredGrid=new o(a,12,0);this.angle=t,this.pitch=e;var i=Math.sin(t),s=Math.cos(t);if(this.rotationMatrix=[s,-i,i,s],this.reverseRotationMatrix=[s,i,-i,s],this.yStretch=1/Math.cos(e/180*Math.PI),this.yStretch=Math.pow(this.yStretch,1.3),this.collisionBoxArray=r,0===r.length){r.emplaceBack();r.emplaceBack(0,0,0,-32767,0,32767,32767,0,0,0,0,0,0,0,0,0),r.emplaceBack(a,0,0,-32767,0,32767,32767,0,0,0,0,0,0,0,0,0),r.emplaceBack(0,0,-32767,0,32767,0,32767,0,0,0,0,0,0,0,0,0),r.emplaceBack(0,a,-32767,0,32767,0,32767,0,0,0,0,0,0,0,0,0)}this.tempCollisionBox=r.get(0),this.edges=[r.get(1),r.get(2),r.get(3),r.get(4)]}var i=t(\"point-geometry\"),a=t(\"../data/bucket\").EXTENT,o=t(\"grid-index\");e.exports=n,n.prototype.serialize=function(){var t={angle:this.angle,pitch:this.pitch,grid:this.grid.toArrayBuffer(),ignoredGrid:this.ignoredGrid.toArrayBuffer()};return{data:t,transferables:[t.grid,t.ignoredGrid]}},n.prototype.minScale=.25,n.prototype.maxScale=2,n.prototype.placeCollisionFeature=function(t,e,r){for(var n=this.collisionBoxArray,a=this.minScale,o=this.rotationMatrix,s=this.yStretch,l=t.boxStartIndex;l<t.boxEndIndex;l++){var u=n.get(l),c=u.anchorPoint._matMult(o),h=c.x,f=c.y,d=h+u.x1,p=f+u.y1*s,m=h+u.x2,v=f+u.y2*s;if(u.bbox0=d,u.bbox1=p,u.bbox2=m,u.bbox3=v,!e)for(var g=this.grid.query(d,p,m,v),y=0;y<g.length;y++){var b=n.get(g[y]),x=b.anchorPoint._matMult(o);if((a=this.getPlacementScale(a,c,u,x,b))>=this.maxScale)return a}if(r){var _;if(this.angle){var w=this.reverseRotationMatrix,M=new i(u.x1,u.y1).matMult(w),k=new i(u.x2,u.y1).matMult(w),A=new i(u.x1,u.y2).matMult(w),T=new i(u.x2,u.y2).matMult(w);_=this.tempCollisionBox,_.anchorPointX=u.anchorPoint.x,_.anchorPointY=u.anchorPoint.y,_.x1=Math.min(M.x,k.x,A.x,T.x),_.y1=Math.min(M.y,k.x,A.x,T.x),_.x2=Math.max(M.x,k.x,A.x,T.x),_.y2=Math.max(M.y,k.x,A.x,T.x),_.maxScale=u.maxScale}else _=u;for(var S=0;S<this.edges.length;S++){var E=this.edges[S];if((a=this.getPlacementScale(a,u.anchorPoint,_,E.anchorPoint,E))>=this.maxScale)return a}}}return a},n.prototype.queryRenderedSymbols=function(t,e,r,n,a){var o={},s=[],l=this.collisionBoxArray,u=this.rotationMatrix,c=new i(t,e)._matMult(u),h=this.tempCollisionBox;h.anchorX=c.x,h.anchorY=c.y,h.x1=0,h.y1=0,h.x2=r-t,h.y2=n-e,h.maxScale=a,a=h.maxScale;for(var f=[c.x+h.x1/a,c.y+h.y1/a*this.yStretch,c.x+h.x2/a,c.y+h.y2/a*this.yStretch],d=this.grid.query(f[0],f[1],f[2],f[3]),p=this.ignoredGrid.query(f[0],f[1],f[2],f[3]),m=0;m<p.length;m++)d.push(p[m]);for(var v=0;v<d.length;v++){var g=l.get(d[v]),y=g.sourceLayerIndex,b=g.featureIndex;if(void 0===o[y]&&(o[y]={}),!o[y][b]){var x=g.anchorPoint.matMult(u);this.getPlacementScale(this.minScale,c,h,x,g)>=a&&(o[y][b]=!0,s.push(d[v]))}}return s},n.prototype.getPlacementScale=function(t,e,r,n,i){var a=e.x-n.x,o=e.y-n.y,s=(i.x1-r.x2)/a,l=(i.x2-r.x1)/a,u=(i.y1-r.y2)*this.yStretch/o,c=(i.y2-r.y1)*this.yStretch/o;(isNaN(s)||isNaN(l))&&(s=l=1),(isNaN(u)||isNaN(c))&&(u=c=1);var h=Math.min(Math.max(s,l),Math.max(u,c)),f=i.maxScale,d=r.maxScale;return h>f&&(h=f),h>d&&(h=d),h>t&&h>=i.placementScale&&(t=h),t},n.prototype.insertCollisionFeature=function(t,e,r){for(var n=r?this.ignoredGrid:this.grid,i=this.collisionBoxArray,a=t.boxStartIndex;a<t.boxEndIndex;a++){var o=i.get(a);o.placementScale=e,e<this.maxScale&&n.insert(a,o.bbox0,o.bbox1,o.bbox2,o.bbox3)}}},{\"../data/bucket\":329,\"grid-index\":287,\"point-geometry\":484}],397:[function(t,e,r){\"use strict\";function n(t,e,r,n,a,o,s,l,u){var c=n?.6*o*s:0,h=Math.max(n?n.right-n.left:0,a?a.right-a.left:0),f=0===t[0].x||t[0].x===u||0===t[0].y||t[0].y===u;e-h*s<e/4&&(e=h*s+e/4);var d=2*o;return i(t,f?e/2*l%e:(h/2+d)*s*l%e,e,c,r,h*s,f,!1,u)}function i(t,e,r,n,l,u,c,h,f){for(var d=u/2,p=0,m=0;m<t.length-1;m++)p+=t[m].dist(t[m+1]);for(var v=0,g=e-r,y=[],b=0;b<t.length-1;b++){for(var x=t[b],_=t[b+1],w=x.dist(_),M=_.angleTo(x);g+r<v+w;){g+=r;var k=(g-v)/w,A=a(x.x,_.x,k),T=a(x.y,_.y,k);if(A>=0&&A<f&&T>=0&&T<f&&g-d>=0&&g+d<=p){var S=new o(A,T,M,b)._round();n&&!s(t,S,u,n,l)||y.push(S)}}v+=w}return h||y.length||c||(y=i(t,v/2,r,n,l,u,c,!0,f)),y}var a=t(\"../util/interpolate\"),o=t(\"../symbol/anchor\"),s=t(\"./check_max_angle\");e.exports=n},{\"../symbol/anchor\":391,\"../util/interpolate\":436,\"./check_max_angle\":392}],398:[function(t,e,r){\"use strict\";function n(){this.width=o,this.height=o,this.bin=new i(this.width,this.height),this.index={},this.ids={},this.data=new Uint8Array(this.width*this.height)}var i=t(\"shelf-pack\"),a=t(\"../util/util\"),o=128;e.exports=n,n.prototype.getGlyphs=function(){var t,e,r,n={};for(var i in this.ids)t=i.split(\"#\"),e=t[0],r=t[1],n[e]||(n[e]=[]),n[e].push(r);return n},n.prototype.getRects=function(){var t,e,r,n={};for(var i in this.ids)t=i.split(\"#\"),e=t[0],r=t[1],n[e]||(n[e]={}),n[e][r]=this.index[i];return n},n.prototype.addGlyph=function(t,e,r,n){if(!r)return null;var i=e+\"#\"+r.id;if(this.index[i])return this.ids[i].indexOf(t)<0&&this.ids[i].push(t),this.index[i];if(!r.bitmap)return null;var o=r.width+2*n,s=r.height+2*n,l=o+2,u=s+2;l+=4-l%4,u+=4-u%4;var c=this.bin.packOne(l,u);if(c||(this.resize(),c=this.bin.packOne(l,u)),!c)return a.warnOnce(\"glyph bitmap overflow\"),null;this.index[i]=c,this.ids[i]=[t];for(var h=this.data,f=r.bitmap,d=0;d<s;d++)for(var p=this.width*(c.y+d+1)+c.x+1,m=o*d,v=0;v<o;v++)h[p+v]=f[m+v];return this.dirty=!0,c},n.prototype.resize=function(){var t=this.width,e=this.height;if(!(t>=2048||e>=2048)){this.texture&&(this.gl&&this.gl.deleteTexture(this.texture),this.texture=null),this.width*=4,this.height*=4,this.bin.resize(this.width,this.height);for(var r=new ArrayBuffer(this.width*this.height),n=0;n<e;n++){var i=new Uint8Array(this.data.buffer,e*n,t);new Uint8Array(r,e*n*4,t).set(i)}this.data=new Uint8Array(r)}},n.prototype.bind=function(t){this.gl=t,this.texture?t.bindTexture(t.TEXTURE_2D,this.texture):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.LINEAR),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),t.texImage2D(t.TEXTURE_2D,0,t.ALPHA,this.width,this.height,0,t.ALPHA,t.UNSIGNED_BYTE,null))},n.prototype.updateTexture=function(t){this.bind(t),this.dirty&&(t.texSubImage2D(t.TEXTURE_2D,0,0,0,this.width,this.height,t.ALPHA,t.UNSIGNED_BYTE,this.data),this.dirty=!1)}},{\"../util/util\":442,\"shelf-pack\":514}],399:[function(t,e,r){\"use strict\";function n(t){this.url=t&&o(t),this.atlases={},this.stacks={},this.loading={}}function i(t,e,r){this.advance=t.advance,this.left=t.left-r-1,this.top=t.top+r+1,this.rect=e}function a(t,e,r,n){return n=n||\"abc\",r.replace(\"{s}\",n[t.length%n.length]).replace(\"{fontstack}\",t).replace(\"{range}\",e)}var o=t(\"../util/mapbox\").normalizeGlyphsURL,s=t(\"../util/ajax\").getArrayBuffer,l=t(\"../util/glyphs\"),u=t(\"../symbol/glyph_atlas\"),c=t(\"pbf\");e.exports=n,n.prototype.getSimpleGlyphs=function(t,e,r,n){void 0===this.stacks[t]&&(this.stacks[t]={}),void 0===this.atlases[t]&&(this.atlases[t]=new u);for(var a,o={},s=this.stacks[t],l=this.atlases[t],c={},h=0,f=0;f<e.length;f++){var d=e[f];if(a=Math.floor(d/256),s[a]){var p=s[a].glyphs[d],m=l.addGlyph(r,t,p,3);p&&(o[d]=new i(p,m,3))}else void 0===c[a]&&(c[a]=[],h++),c[a].push(d)}h||n(void 0,o,t);var v=function(e,a,s){if(!e)for(var u=this.stacks[t][a]=s.stacks[0],f=0;f<c[a].length;f++){var d=c[a][f],p=u.glyphs[d],m=l.addGlyph(r,t,p,3);p&&(o[d]=new i(p,m,3))}--h||n(void 0,o,t)}.bind(this);for(var g in c)this.loadRange(t,g,v)},n.prototype.loadRange=function(t,e,r){if(256*e>65535)return r(\"glyphs > 65535 not supported\");void 0===this.loading[t]&&(this.loading[t]={});var n=this.loading[t];if(n[e])n[e].push(r);else{n[e]=[r];var i=256*e+\"-\"+(256*e+255),o=a(t,i,this.url);s(o,function(t,r){for(var i=!t&&new l(new c(new Uint8Array(r))),a=0;a<n[e].length;a++)n[e][a](t,e,i);delete n[e]})}},n.prototype.getGlyphAtlas=function(t){return this.atlases[t]}},{\"../symbol/glyph_atlas\":398,\"../util/ajax\":425,\"../util/glyphs\":435,\"../util/mapbox\":439,pbf:478}],400:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){function n(n){c.push(t[n]),h.push(r[n]),f.push(e[n]),d++}function i(t,e,r){var n=u[t];return delete u[t],u[e]=n,h[n][0].pop(),h[n][0]=h[n][0].concat(r[0]),n}function a(t,e,r){var n=l[e];return delete l[e],l[t]=n,h[n][0].shift(),h[n][0]=r[0].concat(h[n][0]),n}function o(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}var s,l={},u={},c=[],h=[],f=[],d=0;for(s=0;s<t.length;s++){var p=r[s],m=e[s];if(m){var v=o(m,p),g=o(m,p,!0);if(v in u&&g in l&&u[v]!==l[g]){var y=a(v,g,p),b=i(v,g,h[y]);delete l[v],delete u[g],u[o(m,h[b],!0)]=b,h[y]=null}else v in u?i(v,g,p):g in l?a(v,g,p):(n(s),l[v]=d-1,u[g]=d-1)}else n(s)}return{features:c,textFeatures:f,geometries:h}}},{}],401:[function(t,e,r){\"use strict\";function n(t,e,r,n,i,a,o,s,l,u){this.anchorPoint=t,this.tl=e,this.tr=r,this.bl=n,this.br=i,this.tex=a,this.anchorAngle=o,this.glyphAngle=s,this.minScale=l,this.maxScale=u}function i(t,e,r,i,a,o,u,c,h){var f,d,p,m,v=e.image.rect,g=a.layout,y=e.left-1,b=y+v.w/e.image.pixelRatio,x=e.top-1,_=x+v.h/e.image.pixelRatio;if(\"none\"!==g[\"icon-text-fit\"]&&u){var w=b-y,M=_-x,k=g[\"text-size\"]/24,A=u.left*k,T=u.right*k,S=u.top*k,E=u.bottom*k,L=T-A,C=E-S,I=g[\"icon-text-fit-padding\"][0],z=g[\"icon-text-fit-padding\"][1],D=g[\"icon-text-fit-padding\"][2],P=g[\"icon-text-fit-padding\"][3],O=\"width\"===g[\"icon-text-fit\"]?.5*(C-M):0,R=\"height\"===g[\"icon-text-fit\"]?.5*(L-w):0,F=\"width\"===g[\"icon-text-fit\"]||\"both\"===g[\"icon-text-fit\"]?L:w,j=\"height\"===g[\"icon-text-fit\"]||\"both\"===g[\"icon-text-fit\"]?C:M;f=new s(A+R-P,S+O-I),d=new s(A+R+z+F,S+O-I),p=new s(A+R+z+F,S+O+D+j),m=new s(A+R-P,S+O+D+j)}else f=new s(y,x),d=new s(b,x),p=new s(b,_),m=new s(y,_);var N=a.getLayoutValue(\"icon-rotate\",c,h)*Math.PI/180;if(o){var B=i[t.segment];if(t.y===B.y&&t.x===B.x&&t.segment+1<i.length){var U=i[t.segment+1];N+=Math.atan2(t.y-U.y,t.x-U.x)+Math.PI}else N+=Math.atan2(t.y-B.y,t.x-B.x)}if(N){var V=Math.sin(N),H=Math.cos(N),q=[H,-V,V,H];f=f.matMult(q),d=d.matMult(q),m=m.matMult(q),p=p.matMult(q)}return[new n(new s(t.x,t.y),f,d,m,p,e.image.rect,0,0,l,1/0)]}function a(t,e,r,i,a,u){for(var c=a.layout[\"text-rotate\"]*Math.PI/180,h=a.layout[\"text-keep-upright\"],f=e.positionedGlyphs,d=[],p=0;p<f.length;p++){var m=f[p],v=m.glyph,g=v.rect;if(g){var y,b=(m.x+v.advance/2)*r,x=l;u?(y=[],x=o(y,t,b,i,t.segment,!0),h&&(x=Math.min(x,o(y,t,b,i,t.segment,!1)))):y=[{anchorPoint:new s(t.x,t.y),offset:0,angle:0,maxScale:1/0,minScale:l}];for(var _=m.x+v.left,w=m.y-v.top,M=_+g.w,k=w+g.h,A=new s(_,w),T=new s(M,w),S=new s(_,k),E=new s(M,k),L=0;L<y.length;L++){var C=y[L],I=A,z=T,D=S,P=E;if(c){var O=Math.sin(c),R=Math.cos(c),F=[R,-O,O,R];I=I.matMult(F),z=z.matMult(F),D=D.matMult(F),P=P.matMult(F)}var j=Math.max(C.minScale,x),N=(t.angle+C.offset+2*Math.PI)%(2*Math.PI),B=(C.angle+C.offset+2*Math.PI)%(2*Math.PI);d.push(new n(C.anchorPoint,I,z,D,P,g,N,B,j,C.maxScale))}}}return d}function o(t,e,r,n,i,a){var o=!a;r<0&&(a=!a),a&&i++;var u=new s(e.x,e.y),c=n[i],h=1/0;r=Math.abs(r);for(var f=l;;){var d=u.dist(c),p=r/d,m=Math.atan2(c.y-u.y,c.x-u.x);if(a||(m+=Math.PI),t.push({anchorPoint:u,offset:o?Math.PI:0,minScale:p,maxScale:h,angle:(m+2*Math.PI)%(2*Math.PI)}),p<=f)break;for(u=c;u.equals(c);)if(i+=a?1:-1,!(c=n[i]))return p;var v=c.sub(u)._unit();u=u.sub(v._mult(d)),h=p}return f}var s=t(\"point-geometry\");e.exports={getIconQuads:i,getGlyphQuads:a,SymbolQuad:n};var l=.5},{\"point-geometry\":484}],402:[function(t,e,r){\"use strict\";function n(t,e,r){for(var n=[],a=0,o=t.length;a<o;a++){var s=i(t[a].properties,e[\"text-field\"]);if(s){s=s.toString();var l=e[\"text-transform\"];\"uppercase\"===l?s=s.toLocaleUpperCase():\"lowercase\"===l&&(s=s.toLocaleLowerCase());for(var u=0;u<s.length;u++)r[s.charCodeAt(u)]=!0;n[a]=s}else n[a]=null}return n}var i=t(\"../util/token\");e.exports=n},{\"../util/token\":441}],403:[function(t,e,r){\"use strict\";function n(t,e,r,n){this.codePoint=t,this.x=e,this.y=r,this.glyph=n}function i(t,e,r,n,i,a){this.positionedGlyphs=t,this.text=e,this.top=r,this.bottom=n,this.left=i,this.right=a}function a(t,e,r,a,s,l,u,c,h){for(var f=[],d=new i(f,t,h[1],h[1],h[0],h[0]),p=0,m=0;m<t.length;m++){var v=t.charCodeAt(m),g=e[v];g&&(f.push(new n(v,p,-17,g)),p+=g.advance+c)}return!!f.length&&(o(d,e,a,r,s,l,u,h),d)}function o(t,e,r,n,i,a,o,u){var c=null,d=0,p=0,m=0,v=0,g=t.positionedGlyphs;if(n)for(var y=0;y<g.length;y++){var b=g[y];if(b.x-=d,b.y+=r*m,b.x>n&&null!==c){var x=g[c+1].x;v=Math.max(x,v);for(var _=c+1;_<=y;_++)g[_].y+=r,g[_].x-=x;if(o){var w=c;h[g[c].codePoint]&&w--,s(g,e,p,w,o)}p=c+1,c=null,d+=x,m++}f[b.codePoint]&&(c=y)}var M=g[g.length-1],k=M.x+e[M.codePoint].advance;v=Math.max(v,k);var A=(m+1)*r;s(g,e,p,g.length-1,o),l(g,o,i,a,v,r,m,u),t.top+=-a*A,t.bottom=t.top+A,t.left+=-i*v,t.right=t.left+v}function s(t,e,r,n,i){for(var a=e[t[n].codePoint].advance,o=(t[n].x+a)*i,s=r;s<=n;s++)t[s].x-=o}\n",
       "function l(t,e,r,n,i,a,o,s){for(var l=(e-r)*i+s[0],u=(-n*(o+1)+.5)*a+s[1],c=0;c<t.length;c++)t[c].x+=l,t[c].y+=u}function u(t,e){if(!t||!t.rect)return null;var r=e[\"icon-offset\"][0],n=e[\"icon-offset\"][1],i=r-t.width/2,a=i+t.width,o=n-t.height/2;return new c(t,o,o+t.height,i,a)}function c(t,e,r,n,i){this.image=t,this.top=e,this.bottom=r,this.left=n,this.right=i}e.exports={shapeText:a,shapeIcon:u};var h={32:!0,8203:!0},f={32:!0,38:!0,43:!0,45:!0,47:!0,173:!0,183:!0,8203:!0,8208:!0,8211:!0}},{}],404:[function(t,e,r){\"use strict\";function n(t,e){this.width=t,this.height=e,this.bin=new o(t,e),this.images={},this.data=!1,this.texture=0,this.filter=0,this.pixelRatio=1,this.dirty=!0}function i(t,e,r,n,i,a,o,s,l,u,c){var h,f,d=n*e+r,p=s*a+o;if(c)for(p-=a,f=-1;f<=u;f++,d=((f+u)%u+n)*e+r,p+=a)for(h=-1;h<=l;h++)i[p+h]=t[d+(h+l)%l];else for(f=0;f<u;f++,d+=e,p+=a)for(h=0;h<l;h++)i[p+h]=t[d+h]}function a(t,e,r,n,i){this.rect=t,this.width=e,this.height=r,this.sdf=n,this.pixelRatio=i}var o=t(\"shelf-pack\"),s=t(\"../util/browser\"),l=t(\"../util/util\");e.exports=n,n.prototype.allocateImage=function(t,e){t/=this.pixelRatio,e/=this.pixelRatio;var r=t+2+(4-(t+2)%4),n=e+2+(4-(e+2)%4),i=this.bin.packOne(r,n);return i||(l.warnOnce(\"SpriteAtlas out of space.\"),null)},n.prototype.getImage=function(t,e){if(this.images[t])return this.images[t];if(!this.sprite)return null;var r=this.sprite.getSpritePosition(t);if(!r.width||!r.height)return null;var n=this.allocateImage(r.width,r.height);if(!n)return null;var i=new a(n,r.width/r.pixelRatio,r.height/r.pixelRatio,r.sdf,r.pixelRatio/this.pixelRatio);return this.images[t]=i,this.copy(n,r,e),i},n.prototype.getPosition=function(t,e){var r=this.getImage(t,e),n=r&&r.rect;if(!n)return null;var i=r.width*r.pixelRatio,a=r.height*r.pixelRatio;return{size:[r.width,r.height],tl:[(n.x+1)/this.width,(n.y+1)/this.height],br:[(n.x+1+i)/this.width,(n.y+1+a)/this.height]}},n.prototype.allocate=function(){if(!this.data){var t=Math.floor(this.width*this.pixelRatio),e=Math.floor(this.height*this.pixelRatio);this.data=new Uint32Array(t*e);for(var r=0;r<this.data.length;r++)this.data[r]=0}},n.prototype.copy=function(t,e,r){if(this.sprite.img.data){var n=new Uint32Array(this.sprite.img.data.buffer);this.allocate();var a=this.data;i(n,this.sprite.img.width,e.x,e.y,a,this.width*this.pixelRatio,(t.x+1)*this.pixelRatio,(t.y+1)*this.pixelRatio,e.width,e.height,r),this.dirty=!0}},n.prototype.setSprite=function(t){t&&(this.pixelRatio=s.devicePixelRatio>1?2:1,this.canvas&&(this.canvas.width=this.width*this.pixelRatio,this.canvas.height=this.height*this.pixelRatio)),this.sprite=t},n.prototype.addIcons=function(t,e){for(var r=0;r<t.length;r++)this.getImage(t[r]);e(null,this.images)},n.prototype.bind=function(t,e){var r=!1;this.texture?t.bindTexture(t.TEXTURE_2D,this.texture):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),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),r=!0);var n=e?t.LINEAR:t.NEAREST;n!==this.filter&&(t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,n),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,n),this.filter=n),this.dirty&&(this.allocate(),r?t.texImage2D(t.TEXTURE_2D,0,t.RGBA,this.width*this.pixelRatio,this.height*this.pixelRatio,0,t.RGBA,t.UNSIGNED_BYTE,new Uint8Array(this.data.buffer)):t.texSubImage2D(t.TEXTURE_2D,0,0,0,this.width*this.pixelRatio,this.height*this.pixelRatio,t.RGBA,t.UNSIGNED_BYTE,new Uint8Array(this.data.buffer)),this.dirty=!1)}},{\"../util/browser\":426,\"../util/util\":442,\"shelf-pack\":514}],405:[function(t,e,r){\"use strict\";var n=t(\"../util/struct_array\"),i=t(\"../util/util\"),a=t(\"point-geometry\"),o=e.exports=new n({members:[{type:\"Uint16\",name:\"textBoxStartIndex\"},{type:\"Uint16\",name:\"textBoxEndIndex\"},{type:\"Uint16\",name:\"iconBoxStartIndex\"},{type:\"Uint16\",name:\"iconBoxEndIndex\"},{type:\"Uint16\",name:\"glyphQuadStartIndex\"},{type:\"Uint16\",name:\"glyphQuadEndIndex\"},{type:\"Uint16\",name:\"iconQuadStartIndex\"},{type:\"Uint16\",name:\"iconQuadEndIndex\"},{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Int8\",name:\"index\"}]});i.extendAll(o.prototype.StructType.prototype,{get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)}})},{\"../util/struct_array\":440,\"../util/util\":442,\"point-geometry\":484}],406:[function(t,e,r){\"use strict\";var n=t(\"../util/struct_array\"),i=t(\"../util/util\"),a=t(\"point-geometry\"),o=t(\"./quads\").SymbolQuad,s=e.exports=new n({members:[{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Float32\",name:\"tlX\"},{type:\"Float32\",name:\"tlY\"},{type:\"Float32\",name:\"trX\"},{type:\"Float32\",name:\"trY\"},{type:\"Float32\",name:\"blX\"},{type:\"Float32\",name:\"blY\"},{type:\"Float32\",name:\"brX\"},{type:\"Float32\",name:\"brY\"},{type:\"Int16\",name:\"texH\"},{type:\"Int16\",name:\"texW\"},{type:\"Int16\",name:\"texX\"},{type:\"Int16\",name:\"texY\"},{type:\"Float32\",name:\"anchorAngle\"},{type:\"Float32\",name:\"glyphAngle\"},{type:\"Float32\",name:\"maxScale\"},{type:\"Float32\",name:\"minScale\"}]});i.extendAll(s.prototype.StructType.prototype,{get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)},get SymbolQuad(){return new o(this.anchorPoint,new a(this.tlX,this.tlY),new a(this.trX,this.trY),new a(this.blX,this.blY),new a(this.brX,this.brY),{x:this.texX,y:this.texY,h:this.texH,w:this.texW,height:this.texH,width:this.texW},this.anchorAngle,this.glyphAngle,this.minScale,this.maxScale)}})},{\"../util/struct_array\":440,\"../util/util\":442,\"./quads\":401,\"point-geometry\":484}],407:[function(t,e,r){\"use strict\";var n=t(\"../util/dom\"),i=t(\"point-geometry\"),a={scrollZoom:t(\"./handler/scroll_zoom\"),boxZoom:t(\"./handler/box_zoom\"),dragRotate:t(\"./handler/drag_rotate\"),dragPan:t(\"./handler/drag_pan\"),keyboard:t(\"./handler/keyboard\"),doubleClickZoom:t(\"./handler/dblclick_zoom\"),touchZoomRotate:t(\"./handler/touch_zoom_rotate\")};e.exports=function(t,e){function r(t){g(\"mouseout\",t)}function o(e){t.stop(),_=n.mousePos(b,e),g(\"mousedown\",e)}function s(e){var r=t.dragRotate&&t.dragRotate.isActive();x&&!r&&g(\"contextmenu\",x),x=null,g(\"mouseup\",e)}function l(e){if(!(t.dragPan&&t.dragPan.isActive()||t.dragRotate&&t.dragRotate.isActive())){for(var r=e.toElement||e.target;r&&r!==b;)r=r.parentNode;r===b&&g(\"mousemove\",e)}}function u(e){t.stop(),y(\"touchstart\",e),!e.touches||e.touches.length>1||(w?(clearTimeout(w),w=null,g(\"dblclick\",e)):w=setTimeout(d,300))}function c(t){y(\"touchmove\",t)}function h(t){y(\"touchend\",t)}function f(t){y(\"touchcancel\",t)}function d(){w=null}function p(t){n.mousePos(b,t).equals(_)&&g(\"click\",t)}function m(t){g(\"dblclick\",t),t.preventDefault()}function v(t){x=t,t.preventDefault()}function g(e,r){var i=n.mousePos(b,r);return t.fire(e,{lngLat:t.unproject(i),point:i,originalEvent:r})}function y(e,r){var a=n.touchPos(b,r),o=a.reduce(function(t,e,r,n){return t.add(e.div(n.length))},new i(0,0));return t.fire(e,{lngLat:t.unproject(o),point:o,lngLats:a.map(function(e){return t.unproject(e)},this),points:a,originalEvent:r})}var b=t.getCanvasContainer(),x=null,_=null,w=null;for(var M in a)t[M]=new a[M](t,e),e.interactive&&e[M]&&t[M].enable();b.addEventListener(\"mouseout\",r,!1),b.addEventListener(\"mousedown\",o,!1),b.addEventListener(\"mouseup\",s,!1),b.addEventListener(\"mousemove\",l,!1),b.addEventListener(\"touchstart\",u,!1),b.addEventListener(\"touchend\",h,!1),b.addEventListener(\"touchmove\",c,!1),b.addEventListener(\"touchcancel\",f,!1),b.addEventListener(\"click\",p,!1),b.addEventListener(\"dblclick\",m,!1),b.addEventListener(\"contextmenu\",v,!1)}},{\"../util/dom\":428,\"./handler/box_zoom\":413,\"./handler/dblclick_zoom\":414,\"./handler/drag_pan\":415,\"./handler/drag_rotate\":416,\"./handler/keyboard\":417,\"./handler/scroll_zoom\":418,\"./handler/touch_zoom_rotate\":419,\"point-geometry\":484}],408:[function(t,e,r){\"use strict\";var n=t(\"../util/util\"),i=t(\"../util/interpolate\"),a=t(\"../util/browser\"),o=t(\"../geo/lng_lat\"),s=t(\"../geo/lng_lat_bounds\"),l=t(\"point-geometry\"),u=e.exports=function(){};n.extend(u.prototype,{getCenter:function(){return this.transform.center},setCenter:function(t,e){return this.jumpTo({center:t},e),this},panBy:function(t,e,r){return this.panTo(this.transform.center,n.extend({offset:l.convert(t).mult(-1)},e),r),this},panTo:function(t,e,r){return this.easeTo(n.extend({center:t},e),r)},getZoom:function(){return this.transform.zoom},setZoom:function(t,e){return this.jumpTo({zoom:t},e),this},zoomTo:function(t,e,r){return this.easeTo(n.extend({zoom:t},e),r)},zoomIn:function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},zoomOut:function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},getBearing:function(){return this.transform.bearing},setBearing:function(t,e){return this.jumpTo({bearing:t},e),this},rotateTo:function(t,e,r){return this.easeTo(n.extend({bearing:t},e),r)},resetNorth:function(t,e){return this.rotateTo(0,n.extend({duration:1e3},t),e),this},snapToNorth:function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},getPitch:function(){return this.transform.pitch},setPitch:function(t,e){return this.jumpTo({pitch:t},e),this},fitBounds:function(t,e,r){e=n.extend({padding:0,offset:[0,0],maxZoom:1/0},e),t=s.convert(t);var i=l.convert(e.offset),a=this.transform,o=a.project(t.getNorthWest()),u=a.project(t.getSouthEast()),c=u.sub(o),h=(a.width-2*e.padding-2*Math.abs(i.x))/c.x,f=(a.height-2*e.padding-2*Math.abs(i.y))/c.y;return e.center=a.unproject(o.add(u).div(2)),e.zoom=Math.min(a.scaleZoom(a.scale*Math.min(h,f)),e.maxZoom),e.bearing=0,e.linear?this.easeTo(e,r):this.flyTo(e,r)},jumpTo:function(t,e){this.stop();var r=this.transform,n=!1,i=!1,a=!1;return\"zoom\"in t&&r.zoom!==+t.zoom&&(n=!0,r.zoom=+t.zoom),\"center\"in t&&(r.center=o.convert(t.center)),\"bearing\"in t&&r.bearing!==+t.bearing&&(i=!0,r.bearing=+t.bearing),\"pitch\"in t&&r.pitch!==+t.pitch&&(a=!0,r.pitch=+t.pitch),this.fire(\"movestart\",e).fire(\"move\",e),n&&this.fire(\"zoomstart\",e).fire(\"zoom\",e).fire(\"zoomend\",e),i&&this.fire(\"rotate\",e),a&&this.fire(\"pitch\",e),this.fire(\"moveend\",e)},easeTo:function(t,e){this.stop(),t=n.extend({offset:[0,0],duration:500,easing:n.ease},t);var r,a,s=this.transform,u=l.convert(t.offset),c=this.getZoom(),h=this.getBearing(),f=this.getPitch(),d=\"zoom\"in t?+t.zoom:c,p=\"bearing\"in t?this._normalizeBearing(t.bearing,h):h,m=\"pitch\"in t?+t.pitch:f;\"center\"in t?(r=o.convert(t.center),a=s.centerPoint.add(u)):\"around\"in t?(r=o.convert(t.around),a=s.locationPoint(r)):(a=s.centerPoint.add(u),r=s.pointLocation(a));var v=s.locationPoint(r);return!1===t.animate&&(t.duration=0),this.zooming=d!==c,this.rotating=h!==p,this.pitching=m!==f,t.noMoveStart||this.fire(\"movestart\",e),this.zooming&&this.fire(\"zoomstart\",e),clearTimeout(this._onEaseEnd),this._ease(function(t){this.zooming&&(s.zoom=i(c,d,t)),this.rotating&&(s.bearing=i(h,p,t)),this.pitching&&(s.pitch=i(f,m,t)),s.setLocationAtPoint(r,v.add(a.sub(v)._mult(t))),this.fire(\"move\",e),this.zooming&&this.fire(\"zoom\",e),this.rotating&&this.fire(\"rotate\",e),this.pitching&&this.fire(\"pitch\",e)},function(){t.delayEndEvents?this._onEaseEnd=setTimeout(this._easeToEnd.bind(this,e),t.delayEndEvents):this._easeToEnd(e)}.bind(this),t),this},_easeToEnd:function(t){var e=this.zooming;this.zooming=!1,this.rotating=!1,this.pitching=!1,e&&this.fire(\"zoomend\",t),this.fire(\"moveend\",t)},flyTo:function(t,e){function r(t){var e=(A*A-k*k+(t?-1:1)*L*L*T*T)/(2*(t?A:k)*L*T);return Math.log(Math.sqrt(e*e+1)-e)}function a(t){return(Math.exp(t)-Math.exp(-t))/2}function s(t){return(Math.exp(t)+Math.exp(-t))/2}function u(t){return a(t)/s(t)}this.stop(),t=n.extend({offset:[0,0],speed:1.2,curve:1.42,easing:n.ease},t);var c=this.transform,h=l.convert(t.offset),f=this.getZoom(),d=this.getBearing(),p=this.getPitch(),m=\"center\"in t?o.convert(t.center):this.getCenter(),v=\"zoom\"in t?+t.zoom:f,g=\"bearing\"in t?this._normalizeBearing(t.bearing,d):d,y=\"pitch\"in t?+t.pitch:p;Math.abs(c.center.lng)+Math.abs(m.lng)>180&&(c.center.lng>0&&m.lng<0?m.lng+=360:c.center.lng<0&&m.lng>0&&(m.lng-=360));var b=c.zoomScale(v-f),x=c.point,_=\"center\"in t?c.project(m).sub(h.div(b)):x,w=c.worldSize,M=t.curve,k=Math.max(c.width,c.height),A=k/b,T=_.sub(x).mag();if(\"minZoom\"in t){var S=n.clamp(Math.min(t.minZoom,f,v),c.minZoom,c.maxZoom),E=k/c.zoomScale(S-f);M=Math.sqrt(E/T*2)}var L=M*M,C=r(0),I=function(t){return s(C)/s(C+M*t)},z=function(t){return k*((s(C)*u(C+M*t)-a(C))/L)/T},D=(r(1)-C)/M;if(Math.abs(T)<1e-6){if(Math.abs(k-A)<1e-6)return this.easeTo(t);var P=A<k?-1:1;D=Math.abs(Math.log(A/k))/M,z=function(){return 0},I=function(t){return Math.exp(P*M*t)}}if(\"duration\"in t)t.duration=+t.duration;else{var O=\"screenSpeed\"in t?+t.screenSpeed/M:+t.speed;t.duration=1e3*D/O}return this.zooming=!0,d!==g&&(this.rotating=!0),p!==y&&(this.pitching=!0),this.fire(\"movestart\",e),this.fire(\"zoomstart\",e),this._ease(function(t){var r=t*D,n=z(r);c.zoom=f+c.scaleZoom(1/I(r)),c.center=c.unproject(x.add(_.sub(x).mult(n)),w),this.rotating&&(c.bearing=i(d,g,t)),this.pitching&&(c.pitch=i(p,y,t)),this.fire(\"move\",e),this.fire(\"zoom\",e),this.rotating&&this.fire(\"rotate\",e),this.pitching&&this.fire(\"pitch\",e)},function(){this.zooming=!1,this.rotating=!1,this.pitching=!1,this.fire(\"zoomend\",e),this.fire(\"moveend\",e)},t),this},isEasing:function(){return!!this._abortFn},stop:function(){return this._abortFn&&(this._abortFn(),this._finishEase()),this},_ease:function(t,e,r){this._finishFn=e,this._abortFn=a.timed(function(e){t.call(this,r.easing(e)),1===e&&this._finishEase()},!1===r.animate?0:r.duration,this)},_finishEase:function(){delete this._abortFn;var t=this._finishFn;delete this._finishFn,t.call(this)},_normalizeBearing:function(t,e){t=n.wrap(t,-180,180);var r=Math.abs(t-e);return Math.abs(t-360-e)<r&&(t-=360),Math.abs(t+360-e)<r&&(t+=360),t},_updateEasing:function(t,e,r){var i;if(this.ease){var a=this.ease,o=(Date.now()-a.start)/a.duration,s=a.easing(o+.01)-a.easing(o),l=.27/Math.sqrt(s*s+1e-4)*.01,u=Math.sqrt(.0729-l*l);i=n.bezier(l,u,.25,1)}else i=r?n.bezier.apply(n,r):n.ease;return this.ease={start:(new Date).getTime(),to:Math.pow(2,e),duration:t,easing:i},i}})},{\"../geo/lng_lat\":339,\"../geo/lng_lat_bounds\":340,\"../util/browser\":426,\"../util/interpolate\":436,\"../util/util\":442,\"point-geometry\":484}],409:[function(t,e,r){\"use strict\";function n(t){o.setOptions(this,t)}var i=t(\"./control\"),a=t(\"../../util/dom\"),o=t(\"../../util/util\");e.exports=n,n.createAttributionString=function(t){var e=[];for(var r in t){var n=t[r];n.attribution&&e.indexOf(n.attribution)<0&&e.push(n.attribution)}return e.sort(function(t,e){return t.length-e.length}),e=e.filter(function(t,r){for(var n=r+1;n<e.length;n++)if(e[n].indexOf(t)>=0)return!1;return!0}),e.join(\" | \")},n.prototype=o.inherit(i,{options:{position:\"bottom-right\"},onAdd:function(t){var e=this._container=a.create(\"div\",\"mapboxgl-ctrl-attrib\",t.getContainer());return this._update(),t.on(\"source.load\",this._update.bind(this)),t.on(\"source.change\",this._update.bind(this)),t.on(\"source.remove\",this._update.bind(this)),t.on(\"moveend\",this._updateEditLink.bind(this)),e},_update:function(){this._map.style&&(this._container.innerHTML=n.createAttributionString(this._map.style.sources)),this._editLink=this._container.getElementsByClassName(\"mapbox-improve-map\")[0],this._updateEditLink()},_updateEditLink:function(){if(this._editLink){var t=this._map.getCenter();this._editLink.href=\"https://www.mapbox.com/map-feedback/#/\"+t.lng+\"/\"+t.lat+\"/\"+Math.round(this._map.getZoom()+1)}}})},{\"../../util/dom\":428,\"../../util/util\":442,\"./control\":410}],410:[function(t,e,r){\"use strict\";function n(){}var i=t(\"../../util/util\"),a=t(\"../../util/evented\");e.exports=n,n.prototype={addTo:function(t){this._map=t;var e=this._container=this.onAdd(t);if(this.options&&this.options.position){var r=this.options.position,n=t._controlCorners[r];e.className+=\" mapboxgl-ctrl\",-1!==r.indexOf(\"bottom\")?n.insertBefore(e,n.firstChild):n.appendChild(e)}return this},remove:function(){return this._container.parentNode.removeChild(this._container),this.onRemove&&this.onRemove(this._map),this._map=null,this}},i.extend(n.prototype,a)},{\"../../util/evented\":434,\"../../util/util\":442}],411:[function(t,e,r){\"use strict\";function n(t){s.setOptions(this,t)}var i=t(\"./control\"),a=t(\"../../util/browser\"),o=t(\"../../util/dom\"),s=t(\"../../util/util\");e.exports=n;var l={enableHighAccuracy:!1,timeout:6e3};n.prototype=s.inherit(i,{options:{position:\"top-right\"},onAdd:function(t){var e=this._container=o.create(\"div\",\"mapboxgl-ctrl-group\",t.getContainer());return a.supportsGeolocation?(this._container.addEventListener(\"contextmenu\",this._onContextMenu.bind(this)),this._geolocateButton=o.create(\"button\",\"mapboxgl-ctrl-icon mapboxgl-ctrl-geolocate\",this._container),this._geolocateButton.type=\"button\",this._geolocateButton.addEventListener(\"click\",this._onClickGeolocate.bind(this)),e):e},_onContextMenu:function(t){t.preventDefault()},_onClickGeolocate:function(){navigator.geolocation.getCurrentPosition(this._success.bind(this),this._error.bind(this),l),this._timeoutId=setTimeout(this._finish.bind(this),1e4)},_success:function(t){this._map.jumpTo({center:[t.coords.longitude,t.coords.latitude],zoom:17,bearing:0,pitch:0}),this.fire(\"geolocate\",t),this._finish()},_error:function(t){this.fire(\"error\",t),this._finish()},_finish:function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0}})},{\"../../util/browser\":426,\"../../util/dom\":428,\"../../util/util\":442,\"./control\":410}],412:[function(t,e,r){\"use strict\";function n(t){s.setOptions(this,t)}function i(t){return new MouseEvent(t.type,{button:2,buttons:2,bubbles:!0,cancelable:!0,detail:t.detail,view:t.view,screenX:t.screenX,screenY:t.screenY,clientX:t.clientX,clientY:t.clientY,movementX:t.movementX,movementY:t.movementY,ctrlKey:t.ctrlKey,shiftKey:t.shiftKey,altKey:t.altKey,metaKey:t.metaKey})}var a=t(\"./control\"),o=t(\"../../util/dom\"),s=t(\"../../util/util\");e.exports=n,n.prototype=s.inherit(a,{options:{position:\"top-right\"},onAdd:function(t){var e=\"mapboxgl-ctrl\",r=this._container=o.create(\"div\",e+\"-group\",t.getContainer());return this._container.addEventListener(\"contextmenu\",this._onContextMenu.bind(this)),this._zoomInButton=this._createButton(e+\"-icon \"+e+\"-zoom-in\",t.zoomIn.bind(t)),this._zoomOutButton=this._createButton(e+\"-icon \"+e+\"-zoom-out\",t.zoomOut.bind(t)),this._compass=this._createButton(e+\"-icon \"+e+\"-compass\",t.resetNorth.bind(t)),this._compassArrow=o.create(\"div\",\"arrow\",this._compass),this._compass.addEventListener(\"mousedown\",this._onCompassDown.bind(this)),this._onCompassMove=this._onCompassMove.bind(this),this._onCompassUp=this._onCompassUp.bind(this),t.on(\"rotate\",this._rotateCompassArrow.bind(this)),this._rotateCompassArrow(),this._el=t.getCanvasContainer(),r},_onContextMenu:function(t){t.preventDefault()},_onCompassDown:function(t){0===t.button&&(o.disableDrag(),document.addEventListener(\"mousemove\",this._onCompassMove),document.addEventListener(\"mouseup\",this._onCompassUp),this._el.dispatchEvent(i(t)),t.stopPropagation())},_onCompassMove:function(t){0===t.button&&(this._el.dispatchEvent(i(t)),t.stopPropagation())},_onCompassUp:function(t){0===t.button&&(document.removeEventListener(\"mousemove\",this._onCompassMove),document.removeEventListener(\"mouseup\",this._onCompassUp),o.enableDrag(),this._el.dispatchEvent(i(t)),t.stopPropagation())},_createButton:function(t,e){var r=o.create(\"button\",t,this._container);return r.type=\"button\",r.addEventListener(\"click\",function(){e()}),r},_rotateCompassArrow:function(){var t=\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassArrow.style.transform=t}})},{\"../../util/dom\":428,\"../../util/util\":442,\"./control\":410}],413:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),o.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../geo/lng_lat_bounds\"),o=t(\"../../util/util\");e.exports=n,n.prototype={_enabled:!1,_active:!1,isEnabled:function(){return this._enabled},isActive:function(){return this._active},enable:function(){this.isEnabled()||(this._el.addEventListener(\"mousedown\",this._onMouseDown,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"mousedown\",this._onMouseDown),this._enabled=!1)},_onMouseDown:function(t){t.shiftKey&&0===t.button&&(document.addEventListener(\"mousemove\",this._onMouseMove,!1),document.addEventListener(\"keydown\",this._onKeyDown,!1),document.addEventListener(\"mouseup\",this._onMouseUp,!1),i.disableDrag(),this._startPos=i.mousePos(this._el,t),this._active=!0)},_onMouseMove:function(t){var e=this._startPos,r=i.mousePos(this._el,t);this._box||(this._box=i.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var n=Math.min(e.x,r.x),a=Math.max(e.x,r.x),o=Math.min(e.y,r.y),s=Math.max(e.y,r.y);i.setTransform(this._box,\"translate(\"+n+\"px,\"+o+\"px)\"),this._box.style.width=a-n+\"px\",this._box.style.height=s-o+\"px\"},_onMouseUp:function(t){if(0===t.button){var e=this._startPos,r=i.mousePos(this._el,t),n=new a(this._map.unproject(e),this._map.unproject(r));this._finish(),e.x===r.x&&e.y===r.y?this._fireEvent(\"boxzoomcancel\",t):this._map.fitBounds(n,{linear:!0}).fire(\"boxzoomend\",{originalEvent:t,boxZoomBounds:n})}},_onKeyDown:function(t){27===t.keyCode&&(this._finish(),this._fireEvent(\"boxzoomcancel\",t))},_finish:function(){this._active=!1,document.removeEventListener(\"mousemove\",this._onMouseMove,!1),document.removeEventListener(\"keydown\",this._onKeyDown,!1),document.removeEventListener(\"mouseup\",this._onMouseUp,!1),this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(this._box.parentNode.removeChild(this._box),this._box=null),i.enableDrag()},_fireEvent:function(t,e){return this._map.fire(t,{originalEvent:e})}}},{\"../../geo/lng_lat_bounds\":340,\"../../util/dom\":428,\"../../util/util\":442}],414:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._onDblClick=this._onDblClick.bind(this)}e.exports=n,n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._map.on(\"dblclick\",this._onDblClick),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._map.off(\"dblclick\",this._onDblClick),this._enabled=!1)},_onDblClick:function(t){this._map.zoomTo(this._map.getZoom()+(t.originalEvent.shiftKey?-1:1),{around:t.lngLat},t)}}},{}],415:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),a.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../util/util\");e.exports=n;var o=a.bezier(0,0,.3,1);n.prototype={_enabled:!1,_active:!1,isEnabled:function(){return this._enabled},isActive:function(){return this._active},enable:function(){this.isEnabled()||(this._el.addEventListener(\"mousedown\",this._onDown),this._el.addEventListener(\"touchstart\",this._onDown),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"mousedown\",this._onDown),this._el.removeEventListener(\"touchstart\",this._onDown),this._enabled=!1)},_onDown:function(t){this._ignoreEvent(t)||this.isActive()||(t.touches?(document.addEventListener(\"touchmove\",this._onMove),document.addEventListener(\"touchend\",this._onTouchEnd)):(document.addEventListener(\"mousemove\",this._onMove),document.addEventListener(\"mouseup\",this._onMouseUp)),this._active=!1,this._startPos=this._pos=i.mousePos(this._el,t),this._inertia=[[Date.now(),this._pos]])},_onMove:function(t){if(!this._ignoreEvent(t)){this.isActive()||(this._active=!0,this._fireEvent(\"dragstart\",t),this._fireEvent(\"movestart\",t));var e=i.mousePos(this._el,t),r=this._map;r.stop(),this._drainInertiaBuffer(),this._inertia.push([Date.now(),e]),r.transform.setLocationAtPoint(r.transform.pointLocation(this._pos),e),this._fireEvent(\"drag\",t),this._fireEvent(\"move\",t),this._pos=e,t.preventDefault()}},_onUp:function(t){if(this.isActive()){this._active=!1,this._fireEvent(\"dragend\",t),this._drainInertiaBuffer();var e=function(){this._fireEvent(\"moveend\",t)}.bind(this),r=this._inertia;if(r.length<2)return void e();var n=r[r.length-1],i=r[0],a=n[1].sub(i[1]),s=(n[0]-i[0])/1e3;if(0===s||n[1].equals(i[1]))return void e();var l=a.mult(.3/s),u=l.mag();u>1400&&(u=1400,l._unit()._mult(u));var c=u/750,h=l.mult(-c/2);this._map.panBy(h,{duration:1e3*c,easing:o,noMoveStart:!0},{originalEvent:t})}},_onMouseUp:function(t){this._ignoreEvent(t)||(this._onUp(t),document.removeEventListener(\"mousemove\",this._onMove),document.removeEventListener(\"mouseup\",this._onMouseUp))},_onTouchEnd:function(t){this._ignoreEvent(t)||(this._onUp(t),document.removeEventListener(\"touchmove\",this._onMove),document.removeEventListener(\"touchend\",this._onTouchEnd))},_fireEvent:function(t,e){return this._map.fire(t,{originalEvent:e})},_ignoreEvent:function(t){var e=this._map;if(e.boxZoom&&e.boxZoom.isActive())return!0;if(e.dragRotate&&e.dragRotate.isActive())return!0;if(t.touches)return t.touches.length>1;if(t.ctrlKey)return!0;return\"mousemove\"===t.type?!1&t.buttons:0!==t.button},_drainInertiaBuffer:function(){for(var t=this._inertia,e=Date.now();t.length>0&&e-t[0][0]>160;)t.shift()}}},{\"../../util/dom\":428,\"../../util/util\":442}],416:[function(t,e,r){\"use strict\";function n(t,e){this._map=t,this._el=t.getCanvasContainer(),this._bearingSnap=e.bearingSnap,o.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"point-geometry\"),o=t(\"../../util/util\");e.exports=n;var s=o.bezier(0,0,.25,1);n.prototype={_enabled:!1,_active:!1,isEnabled:function(){return this._enabled},isActive:function(){return this._active},enable:function(){this.isEnabled()||(this._el.addEventListener(\"mousedown\",this._onDown),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"mousedown\",this._onDown),this._enabled=!1)},_onDown:function(t){if(!this._ignoreEvent(t)&&!this.isActive()){document.addEventListener(\"mousemove\",this._onMove),document.addEventListener(\"mouseup\",this._onUp),this._active=!1,this._inertia=[[Date.now(),this._map.getBearing()]],this._startPos=this._pos=i.mousePos(this._el,t),this._center=this._map.transform.centerPoint;var e=this._startPos.sub(this._center);e.mag()<200&&(this._center=this._startPos.add(new a(-200,0)._rotate(e.angle()))),t.preventDefault()}},_onMove:function(t){if(!this._ignoreEvent(t)){this.isActive()||(this._active=!0,this._fireEvent(\"rotatestart\",t),this._fireEvent(\"movestart\",t));var e=this._map;e.stop();var r=this._pos,n=i.mousePos(this._el,t),a=this._center,o=r.sub(a).angleWith(n.sub(a))/Math.PI*180,s=e.getBearing()-o,l=this._inertia,u=l[l.length-1];this._drainInertiaBuffer(),l.push([Date.now(),e._normalizeBearing(s,u[1])]),e.transform.bearing=s,this._fireEvent(\"rotate\",t),this._fireEvent(\"move\",t),this._pos=n}},_onUp:function(t){if(!this._ignoreEvent(t)&&(document.removeEventListener(\"mousemove\",this._onMove),document.removeEventListener(\"mouseup\",this._onUp),this.isActive())){this._active=!1,this._fireEvent(\"rotateend\",t),this._drainInertiaBuffer();var e=this._map,r=e.getBearing(),n=this._inertia,i=function(){Math.abs(r)<this._bearingSnap?e.resetNorth({noMoveStart:!0},{originalEvent:t}):this._fireEvent(\"moveend\",t)}.bind(this);if(n.length<2)return void i();var a=n[0],o=n[n.length-1],l=n[n.length-2],u=e._normalizeBearing(r,l[1]),c=o[1]-a[1],h=c<0?-1:1,f=(o[0]-a[0])/1e3;if(0===c||0===f)return void i();var d=Math.abs(c*(.25/f));d>180&&(d=180);var p=d/180;u+=h*d*(p/2),Math.abs(e._normalizeBearing(u,0))<this._bearingSnap&&(u=e._normalizeBearing(0,u)),e.rotateTo(u,{duration:1e3*p,easing:s,noMoveStart:!0},{originalEvent:t})}},_fireEvent:function(t,e){return this._map.fire(t,{originalEvent:e})},_ignoreEvent:function(t){var e=this._map;if(e.boxZoom&&e.boxZoom.isActive())return!0;if(e.dragPan&&e.dragPan.isActive())return!0;if(t.touches)return t.touches.length>1;var r=t.ctrlKey?1:2,n=t.ctrlKey?0:2;return\"mousemove\"===t.type?t.buttons&0===r:t.button!==n},_drainInertiaBuffer:function(){for(var t=this._inertia,e=Date.now();t.length>0&&e-t[0][0]>160;)t.shift()}}},{\"../../util/dom\":428,\"../../util/util\":442,\"point-geometry\":484}],417:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),this._onKeyDown=this._onKeyDown.bind(this)}e.exports=n;n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._el.addEventListener(\"keydown\",this._onKeyDown,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"keydown\",this._onKeyDown),this._enabled=!1)},_onKeyDown:function(t){if(!(t.altKey||t.ctrlKey||t.metaKey)){var e=this._map,r={originalEvent:t};if(!e.isEasing())switch(t.keyCode){case 61:case 107:case 171:case 187:e.zoomTo(Math.round(e.getZoom())+(t.shiftKey?2:1),r);break;case 189:case 109:case 173:e.zoomTo(Math.round(e.getZoom())-(t.shiftKey?2:1),r);break;case 37:t.shiftKey?e.easeTo({bearing:e.getBearing()-2},r):(t.preventDefault(),e.panBy([-80,0],r));break;case 39:t.shiftKey?e.easeTo({bearing:e.getBearing()+2},r):(t.preventDefault(),e.panBy([80,0],r));break;case 38:t.shiftKey?e.easeTo({pitch:e.getPitch()+5},r):(t.preventDefault(),e.panBy([0,-80],r));break;case 40:t.shiftKey?e.easeTo({pitch:Math.max(e.getPitch()-5,0)},r):(t.preventDefault(),e.panBy([0,80],r))}}}}},{}],418:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),o.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../util/browser\"),o=t(\"../../util/util\");e.exports=n;var s=\"undefined\"!=typeof navigator?navigator.userAgent.toLowerCase():\"\",l=-1!==s.indexOf(\"firefox\"),u=-1!==s.indexOf(\"safari\")&&-1===s.indexOf(\"chrom\");n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._el.addEventListener(\"wheel\",this._onWheel,!1),this._el.addEventListener(\"mousewheel\",this._onWheel,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"wheel\",this._onWheel),this._el.removeEventListener(\"mousewheel\",this._onWheel),this._enabled=!1)},_onWheel:function(t){var e;\"wheel\"===t.type?(e=t.deltaY,l&&t.deltaMode===window.WheelEvent.DOM_DELTA_PIXEL&&(e/=a.devicePixelRatio),t.deltaMode===window.WheelEvent.DOM_DELTA_LINE&&(e*=40)):\"mousewheel\"===t.type&&(e=-t.wheelDeltaY,u&&(e/=3));var r=a.now(),n=r-(this._time||0);this._pos=i.mousePos(this._el,t),this._time=r,0!==e&&e%4.000244140625==0?(this._type=\"wheel\",e=Math.floor(e/4)):0!==e&&Math.abs(e)<4?this._type=\"trackpad\":n>400?(this._type=null,this._lastValue=e,this._timeout=setTimeout(this._onTimeout,40)):this._type||(this._type=Math.abs(n*e)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,e+=this._lastValue)),t.shiftKey&&e&&(e/=4),this._type&&this._zoom(-e,t),t.preventDefault()},_onTimeout:function(){this._type=\"wheel\",this._zoom(-this._lastValue)},_zoom:function(t,e){if(0!==t){var r=this._map,n=2/(1+Math.exp(-Math.abs(t/100)));t<0&&0!==n&&(n=1/n);var i=r.ease?r.ease.to:r.transform.scale,a=r.transform.scaleZoom(i*n);r.zoomTo(a,{duration:0,around:r.unproject(this._pos),delayEndEvents:200},{originalEvent:e})}}}},{\"../../util/browser\":426,\"../../util/dom\":428,\"../../util/util\":442}],419:[function(t,e,r){\"use strict\";function n(t){this._map=t,this._el=t.getCanvasContainer(),a.bindHandlers(this)}var i=t(\"../../util/dom\"),a=t(\"../../util/util\");e.exports=n;var o=a.bezier(0,0,.15,1);n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._el.addEventListener(\"touchstart\",this._onStart,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener(\"touchstart\",this._onStart),this._enabled=!1)},disableRotation:function(){this._rotationDisabled=!0},enableRotation:function(){this._rotationDisabled=!1},_onStart:function(t){if(2===t.touches.length){var e=i.mousePos(this._el,t.touches[0]),r=i.mousePos(this._el,t.touches[1]);this._startVec=e.sub(r),this._startScale=this._map.transform.scale,this._startBearing=this._map.transform.bearing,this._gestureIntent=void 0,this._inertia=[],\n",
       "document.addEventListener(\"touchmove\",this._onMove,!1),document.addEventListener(\"touchend\",this._onEnd,!1)}},_onMove:function(t){if(2===t.touches.length){var e=i.mousePos(this._el,t.touches[0]),r=i.mousePos(this._el,t.touches[1]),n=e.add(r).div(2),a=e.sub(r),o=a.mag()/this._startVec.mag(),s=this._rotationDisabled?0:180*a.angleWith(this._startVec)/Math.PI,l=this._map;if(this._gestureIntent){var u={duration:0,around:l.unproject(n)};\"rotate\"===this._gestureIntent&&(u.bearing=this._startBearing+s),\"zoom\"!==this._gestureIntent&&\"rotate\"!==this._gestureIntent||(u.zoom=l.transform.scaleZoom(this._startScale*o)),l.stop(),this._drainInertiaBuffer(),this._inertia.push([Date.now(),o,n]),l.easeTo(u,{originalEvent:t})}else{var c=Math.abs(1-o)>.15;Math.abs(s)>4?this._gestureIntent=\"rotate\":c&&(this._gestureIntent=\"zoom\"),this._gestureIntent&&(this._startVec=a,this._startScale=l.transform.scale,this._startBearing=l.transform.bearing)}t.preventDefault()}},_onEnd:function(t){document.removeEventListener(\"touchmove\",this._onMove),document.removeEventListener(\"touchend\",this._onEnd),this._drainInertiaBuffer();var e=this._inertia,r=this._map;if(e.length<2)return void r.snapToNorth({},{originalEvent:t});var n=e[e.length-1],i=e[0],a=r.transform.scaleZoom(this._startScale*n[1]),s=r.transform.scaleZoom(this._startScale*i[1]),l=a-s,u=(n[0]-i[0])/1e3,c=n[2];if(0===u||a===s)return void r.snapToNorth({},{originalEvent:t});var h=.15*l/u;Math.abs(h)>2.5&&(h=h>0?2.5:-2.5);var f=1e3*Math.abs(h/(12*.15)),d=a+h*f/2e3;d<0&&(d=0),r.easeTo({zoom:d,duration:f,easing:o,around:r.unproject(c)},{originalEvent:t})},_drainInertiaBuffer:function(){for(var t=this._inertia,e=Date.now();t.length>2&&e-t[0][0]>160;)t.shift()}}},{\"../../util/dom\":428,\"../../util/util\":442}],420:[function(t,e,r){\"use strict\";function n(){i.bindAll([\"_onHashChange\",\"_updateHash\"],this)}e.exports=n;var i=t(\"../util/util\");n.prototype={addTo:function(t){return this._map=t,window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},remove:function(){return window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),delete this._map,this},_onHashChange:function(){var t=location.hash.replace(\"#\",\"\").split(\"/\");return t.length>=3&&(this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:+(t[3]||0)}),!0)},_updateHash:function(){var t=this._map.getCenter(),e=this._map.getZoom(),r=this._map.getBearing(),n=Math.max(0,Math.ceil(Math.log(e)/Math.LN2)),i=\"#\"+Math.round(100*e)/100+\"/\"+t.lat.toFixed(n)+\"/\"+t.lng.toFixed(n)+(r?\"/\"+Math.round(10*r)/10:\"\");window.history.replaceState(\"\",\"\",i)}}},{\"../util/util\":442}],421:[function(t,e,r){\"use strict\";function n(t){t.parentNode&&t.parentNode.removeChild(t)}var i=t(\"../util/canvas\"),a=t(\"../util/util\"),o=t(\"../util/browser\"),s=t(\"../util/browser\").window,l=t(\"../util/evented\"),u=t(\"../util/dom\"),c=t(\"../style/style\"),h=t(\"../style/animation_loop\"),f=t(\"../render/painter\"),d=t(\"../geo/transform\"),p=t(\"./hash\"),m=t(\"./bind_handlers\"),v=t(\"./camera\"),g=t(\"../geo/lng_lat\"),y=t(\"../geo/lng_lat_bounds\"),b=t(\"point-geometry\"),x=t(\"./control/attribution\"),_={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:0,maxZoom:20,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,bearingSnap:7,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,workerCount:Math.max(o.hardwareConcurrency-1,1)},w=e.exports=function(t){if(t=a.extend({},_,t),t.workerCount<1)throw new Error(\"workerCount must an integer greater than or equal to 1.\");this._interactive=t.interactive,this._failIfMajorPerformanceCaveat=t.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=t.preserveDrawingBuffer,this._trackResize=t.trackResize,this._workerCount=t.workerCount,this._bearingSnap=t.bearingSnap,\"string\"==typeof t.container?this._container=document.getElementById(t.container):this._container=t.container,this.animationLoop=new h,this.transform=new d(t.minZoom,t.maxZoom),t.maxBounds&&this.setMaxBounds(t.maxBounds),a.bindAll([\"_forwardStyleEvent\",\"_forwardSourceEvent\",\"_forwardLayerEvent\",\"_forwardTileEvent\",\"_onStyleLoad\",\"_onStyleChange\",\"_onSourceAdd\",\"_onSourceRemove\",\"_onSourceUpdate\",\"_onWindowOnline\",\"_onWindowResize\",\"_update\",\"_render\"],this),this._setupContainer(),this._setupPainter(),this.on(\"move\",this._update.bind(this,!1)),this.on(\"zoom\",this._update.bind(this,!0)),this.on(\"moveend\",function(){this.animationLoop.set(300),this._rerender()}.bind(this)),void 0!==s&&(s.addEventListener(\"online\",this._onWindowOnline,!1),s.addEventListener(\"resize\",this._onWindowResize,!1)),m(this,t),this._hash=t.hash&&(new p).addTo(this),this._hash&&this._hash._onHashChange()||this.jumpTo({center:t.center,zoom:t.zoom,bearing:t.bearing,pitch:t.pitch}),this.stacks={},this._classes=[],this.resize(),t.classes&&this.setClasses(t.classes),t.style&&this.setStyle(t.style),t.attributionControl&&this.addControl(new x(t.attributionControl));var e=this.fire.bind(this,\"error\");this.on(\"style.error\",e),this.on(\"source.error\",e),this.on(\"tile.error\",e),this.on(\"layer.error\",e)};a.extend(w.prototype,l),a.extend(w.prototype,v.prototype),a.extend(w.prototype,{addControl:function(t){return t.addTo(this),this},addClass:function(t,e){return this._classes.indexOf(t)>=0||\"\"===t?this:(this._classes.push(t),this._classOptions=e,this.style&&this.style.updateClasses(),this._update(!0))},removeClass:function(t,e){var r=this._classes.indexOf(t);return r<0||\"\"===t?this:(this._classes.splice(r,1),this._classOptions=e,this.style&&this.style.updateClasses(),this._update(!0))},setClasses:function(t,e){for(var r={},n=0;n<t.length;n++)\"\"!==t[n]&&(r[t[n]]=!0);return this._classes=Object.keys(r),this._classOptions=e,this.style&&this.style.updateClasses(),this._update(!0)},hasClass:function(t){return this._classes.indexOf(t)>=0},getClasses:function(){return this._classes},resize:function(){var t=0,e=0;return this._container&&(t=this._container.offsetWidth||400,e=this._container.offsetHeight||300),this._canvas.resize(t,e),this.transform.resize(t,e),this.painter.resize(t,e),this.fire(\"movestart\").fire(\"move\").fire(\"resize\").fire(\"moveend\")},getBounds:function(){var t=new y(this.transform.pointLocation(new b(0,0)),this.transform.pointLocation(this.transform.size));return(this.transform.angle||this.transform.pitch)&&(t.extend(this.transform.pointLocation(new b(this.transform.size.x,0))),t.extend(this.transform.pointLocation(new b(0,this.transform.size.y)))),t},setMaxBounds:function(t){if(t){var e=y.convert(t);this.transform.lngRange=[e.getWest(),e.getEast()],this.transform.latRange=[e.getSouth(),e.getNorth()],this.transform._constrain(),this._update()}else null!==t&&void 0!==t||(this.transform.lngRange=[],this.transform.latRange=[],this._update());return this},setMinZoom:function(t){if((t=null===t||void 0===t?0:t)>=0&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between 0 and the current maxZoom, inclusive\")},setMaxZoom:function(t){if((t=null===t||void 0===t?20:t)>=this.transform.minZoom&&t<=20)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be between the current minZoom and 20, inclusive\")},project:function(t){return this.transform.locationPoint(g.convert(t))},unproject:function(t){return this.transform.pointLocation(b.convert(t))},queryRenderedFeatures:function(){var t,e={};return 2===arguments.length?(t=arguments[0],e=arguments[1]):1===arguments.length&&function(t){return t instanceof b||Array.isArray(t)}(arguments[0])?t=arguments[0]:1===arguments.length&&(e=arguments[0]),this.style.queryRenderedFeatures(this._makeQueryGeometry(t),e,this.transform.zoom,this.transform.angle)},_makeQueryGeometry:function(t){void 0===t&&(t=[b.convert([0,0]),b.convert([this.transform.width,this.transform.height])]);var e;if(t instanceof b||\"number\"==typeof t[0])e=[b.convert(t)];else{var r=[b.convert(t[0]),b.convert(t[1])];e=[r[0],new b(r[1].x,r[0].y),r[1],new b(r[0].x,r[1].y),r[0]]}return e=e.map(function(t){return this.transform.pointCoordinate(t)}.bind(this))},querySourceFeatures:function(t,e){return this.style.querySourceFeatures(t,e)},setStyle:function(t){return this.style&&(this.style.off(\"load\",this._onStyleLoad).off(\"error\",this._forwardStyleEvent).off(\"change\",this._onStyleChange).off(\"source.add\",this._onSourceAdd).off(\"source.remove\",this._onSourceRemove).off(\"source.load\",this._onSourceUpdate).off(\"source.error\",this._forwardSourceEvent).off(\"source.change\",this._onSourceUpdate).off(\"layer.add\",this._forwardLayerEvent).off(\"layer.remove\",this._forwardLayerEvent).off(\"layer.error\",this._forwardLayerEvent).off(\"tile.add\",this._forwardTileEvent).off(\"tile.remove\",this._forwardTileEvent).off(\"tile.load\",this._update).off(\"tile.error\",this._forwardTileEvent).off(\"tile.stats\",this._forwardTileEvent)._remove(),this.off(\"rotate\",this.style._redoPlacement),this.off(\"pitch\",this.style._redoPlacement)),t?(this.style=t instanceof c?t:new c(t,this.animationLoop,this._workerCount),this.style.on(\"load\",this._onStyleLoad).on(\"error\",this._forwardStyleEvent).on(\"change\",this._onStyleChange).on(\"source.add\",this._onSourceAdd).on(\"source.remove\",this._onSourceRemove).on(\"source.load\",this._onSourceUpdate).on(\"source.error\",this._forwardSourceEvent).on(\"source.change\",this._onSourceUpdate).on(\"layer.add\",this._forwardLayerEvent).on(\"layer.remove\",this._forwardLayerEvent).on(\"layer.error\",this._forwardLayerEvent).on(\"tile.add\",this._forwardTileEvent).on(\"tile.remove\",this._forwardTileEvent).on(\"tile.load\",this._update).on(\"tile.error\",this._forwardTileEvent).on(\"tile.stats\",this._forwardTileEvent),this.on(\"rotate\",this.style._redoPlacement),this.on(\"pitch\",this.style._redoPlacement),this):(this.style=null,this)},getStyle:function(){if(this.style)return this.style.serialize()},addSource:function(t,e){return this.style.addSource(t,e),this._update(!0),this},addSourceType:function(t,e,r){return this.style.addSourceType(t,e,r)},removeSource:function(t){return this.style.removeSource(t),this._update(!0),this},getSource:function(t){return this.style.getSource(t)},addLayer:function(t,e){return this.style.addLayer(t,e),this._update(!0),this},removeLayer:function(t){return this.style.removeLayer(t),this._update(!0),this},getLayer:function(t){return this.style.getLayer(t)},setFilter:function(t,e){return this.style.setFilter(t,e),this._update(!0),this},setLayerZoomRange:function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0),this},getFilter:function(t){return this.style.getFilter(t)},setPaintProperty:function(t,e,r,n){return this.style.setPaintProperty(t,e,r,n),this._update(!0),this},getPaintProperty:function(t,e,r){return this.style.getPaintProperty(t,e,r)},setLayoutProperty:function(t,e,r){return this.style.setLayoutProperty(t,e,r),this._update(!0),this},getLayoutProperty:function(t,e){return this.style.getLayoutProperty(t,e)},getContainer:function(){return this._container},getCanvasContainer:function(){return this._canvasContainer},getCanvas:function(){return this._canvas.getElement()},_setupContainer:function(){var t=this._container;t.classList.add(\"mapboxgl-map\");var e=this._canvasContainer=u.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=new i(this,e);var r=this._controlContainer=u.create(\"div\",\"mapboxgl-control-container\",t),n=this._controlCorners={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach(function(t){n[t]=u.create(\"div\",\"mapboxgl-ctrl-\"+t,r)})},_setupPainter:function(){var t=this._canvas.getWebGLContext({failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer});if(!t)return void this.fire(\"error\",{error:new Error(\"Failed to initialize WebGL\")});this.painter=new f(t,this.transform)},_contextLost:function(t){t.preventDefault(),this._frameId&&o.cancelFrame(this._frameId),this.fire(\"webglcontextlost\",{originalEvent:t})},_contextRestored:function(t){this._setupPainter(),this.resize(),this._update(),this.fire(\"webglcontextrestored\",{originalEvent:t})},loaded:function(){return!this._styleDirty&&!this._sourcesDirty&&!(!this.style||!this.style.loaded())},_update:function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this._rerender(),this):this},_render:function(){try{this.style&&this._styleDirty&&(this._styleDirty=!1,this.style.update(this._classes,this._classOptions),this._classOptions=null,this.style._recalculate(this.transform.zoom)),this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this.painter.render(this.style,{debug:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,vertices:this.vertices,rotating:this.rotating,zooming:this.zooming}),this.fire(\"render\"),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(\"load\")),this._frameId=null,this.animationLoop.stopped()||(this._styleDirty=!0),(this._sourcesDirty||this._repaint||this._styleDirty)&&this._rerender()}catch(t){this.fire(\"error\",{error:t})}return this},remove:function(){this._hash&&this._hash.remove(),o.cancelFrame(this._frameId),this.setStyle(null),void 0!==s&&s.removeEventListener(\"resize\",this._onWindowResize,!1);var t=this.painter.gl.getExtension(\"WEBGL_lose_context\");t&&t.loseContext(),n(this._canvasContainer),n(this._controlContainer),this._container.classList.remove(\"mapboxgl-map\")},_rerender:function(){this.style&&!this._frameId&&(this._frameId=o.frame(this._render))},_forwardStyleEvent:function(t){this.fire(\"style.\"+t.type,a.extend({style:t.target},t))},_forwardSourceEvent:function(t){this.fire(t.type,a.extend({style:t.target},t))},_forwardLayerEvent:function(t){this.fire(t.type,a.extend({style:t.target},t))},_forwardTileEvent:function(t){this.fire(t.type,a.extend({style:t.target},t))},_onStyleLoad:function(t){this.transform.unmodified&&this.jumpTo(this.style.stylesheet),this.style.update(this._classes,{transition:!1}),this._forwardStyleEvent(t)},_onStyleChange:function(t){this._update(!0),this._forwardStyleEvent(t)},_onSourceAdd:function(t){var e=t.source;e.onAdd&&e.onAdd(this),this._forwardSourceEvent(t)},_onSourceRemove:function(t){var e=t.source;e.onRemove&&e.onRemove(this),this._forwardSourceEvent(t)},_onSourceUpdate:function(t){this._update(),this._forwardSourceEvent(t)},_onWindowOnline:function(){this._update()},_onWindowResize:function(){this._trackResize&&this.stop().resize()._update()}}),a.extendAll(w.prototype,{_showTileBoundaries:!1,get showTileBoundaries(){return this._showTileBoundaries},set showTileBoundaries(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},_showCollisionBoxes:!1,get showCollisionBoxes(){return this._showCollisionBoxes},set showCollisionBoxes(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,this.style._redoPlacement())},_showOverdrawInspector:!1,get showOverdrawInspector(){return this._showOverdrawInspector},set showOverdrawInspector(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},_repaint:!1,get repaint(){return this._repaint},set repaint(t){this._repaint=t,this._update()},_vertices:!1,get vertices(){return this._vertices},set vertices(t){this._vertices=t,this._update()}})},{\"../geo/lng_lat\":339,\"../geo/lng_lat_bounds\":340,\"../geo/transform\":341,\"../render/painter\":355,\"../style/animation_loop\":375,\"../style/style\":378,\"../util/browser\":426,\"../util/canvas\":427,\"../util/dom\":428,\"../util/evented\":434,\"../util/util\":442,\"./bind_handlers\":407,\"./camera\":408,\"./control/attribution\":409,\"./hash\":420,\"point-geometry\":484}],422:[function(t,e,r){\"use strict\";function n(t,e){t||(t=i.create(\"div\")),t.classList.add(\"mapboxgl-marker\"),this._el=t,this._offset=o.convert(e&&e.offset||[0,0]),this._update=this._update.bind(this)}e.exports=n;var i=t(\"../util/dom\"),a=t(\"../geo/lng_lat\"),o=t(\"point-geometry\");n.prototype={addTo:function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._el),t.on(\"move\",this._update),this._update(),this},remove:function(){this._map&&(this._map.off(\"move\",this._update),this._map=null);var t=this._el.parentNode;return t&&t.removeChild(this._el),this},getLngLat:function(){return this._lngLat},setLngLat:function(t){return this._lngLat=a.convert(t),this._update(),this},getElement:function(){return this._el},_update:function(){if(this._map){var t=this._map.project(this._lngLat)._add(this._offset);i.setTransform(this._el,\"translate(\"+t.x+\"px,\"+t.y+\"px)\")}}}},{\"../geo/lng_lat\":339,\"../util/dom\":428,\"point-geometry\":484}],423:[function(t,e,r){\"use strict\";function n(t){i.setOptions(this,t),i.bindAll([\"_update\",\"_onClickClose\"],this)}e.exports=n;var i=t(\"../util/util\"),a=t(\"../util/evented\"),o=t(\"../util/dom\"),s=t(\"../geo/lng_lat\");n.prototype=i.inherit(a,{options:{closeButton:!0,closeOnClick:!0},addTo:function(t){return this._map=t,this._map.on(\"move\",this._update),this.options.closeOnClick&&this._map.on(\"click\",this._onClickClose),this._update(),this},remove:function(){return this._content&&this._content.parentNode&&this._content.parentNode.removeChild(this._content),this._container&&(this._container.parentNode.removeChild(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"click\",this._onClickClose),delete this._map),this.fire(\"close\"),this},getLngLat:function(){return this._lngLat},setLngLat:function(t){return this._lngLat=s.convert(t),this._update(),this},setText:function(t){return this.setDOMContent(document.createTextNode(t))},setHTML:function(t){var e,r=document.createDocumentFragment(),n=document.createElement(\"body\");for(n.innerHTML=t;;){if(!(e=n.firstChild))break;r.appendChild(e)}return this.setDOMContent(r)},setDOMContent:function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},_createContent:function(){this._content&&this._content.parentNode&&this._content.parentNode.removeChild(this._content),this._content=o.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=o.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClickClose))},_update:function(){if(this._map&&this._lngLat&&this._content){this._container||(this._container=o.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=o.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content));var t=this._map.project(this._lngLat).round(),e=this.options.anchor;if(!e){var 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s=0,l=0;l<3;++l)s+=Math.pow(r[l]-e[l],2);this.radius.set(t,.5*Math.log(Math.max(s,1e-6))),this.center.set(t,r[0],r[1],r[2])},d.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},d.setMatrix=function(t,e){var r=this.computedRotation;f(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),a(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;h(n,e);var i=n[15];if(Math.abs(i)>1e-6){var o=n[12]/i,s=n[13]/i,l=n[14]/i;this.recalcMatrix(t);var u=Math.exp(this.computedRadius[0]);this.center.set(t,o-n[2]*u,s-n[6]*u,l-n[10]*u),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},d.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},d.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},d.getDistanceLimits=function(t){var e=this.radius.bounds;return 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a=i.viewportWidth,o=i.viewportHeight;t.width=t.width||a-t.xOffset,t.height=t.height||o-t.yOffset,t.needsCopy=!0,de(t.xOffset>=0&&t.xOffset<a&&t.yOffset>=0&&t.yOffset<o&&t.width>0&&t.width<=a&&t.height>0&&t.height<=o,\"copy texture read out of bounds\")}else if(n){if(Qt(n))t.channels=t.channels||4,t.data=n,\"type\"in e||t.type!==Or||(t.type=At(n));else if(gt(n))t.channels=t.channels||4,Tt(t,n),t.alignment=1,t.needsFree=!0;else if(Z(n)){var s=n.data;Array.isArray(s)||t.type!==Or||(t.type=At(s));var l,c,h,f,d,p,m=n.shape,v=n.stride;3===m.length?(h=m[2],p=v[2]):(de(2===m.length,\"invalid ndarray pixel data, must be 2 or 3D\"),h=1,p=1),l=m[0],c=m[1],f=v[0],d=v[1],t.alignment=1,t.width=l,t.height=c,t.channels=h,t.format=t.internalformat=hn[h],t.needsFree=!0,Lt(t,s,f,d,p,n.offset)}else if(xt(n)||_t(n))xt(n)?t.element=n:t.element=n.canvas,t.width=t.element.width,t.height=t.element.height,t.channels=4;else if(wt(n))t.element=n,t.width=n.naturalWidth,t.height=n.naturalHeight,t.channels=4;else if(Mt(n))t.element=n,t.width=n.videoWidth,t.height=n.videoHeight,t.channels=4;else if(yt(n)){var g=t.width||n[0].length,y=t.height||n.length,b=t.channels;b=mt(n[0][0])?b||n[0][0].length:b||1;for(var x=Ce.shape(n),_=1,w=0;w<x.length;++w)_*=x[w];var M=St(t,_);Ce.flatten(n,x,\"\",M),Et(t,M),t.alignment=1,t.width=g,t.height=y,t.channels=b,t.format=t.internalformat=hn[b],t.needsFree=!0}}else t.width=t.width||1,t.height=t.height||1,t.channels=t.channels||4;t.type===jr?de(r.extensions.indexOf(\"oes_texture_float\")>=0,\"oes_texture_float extension not enabled\"):t.type===wr&&de(r.extensions.indexOf(\"oes_texture_half_float\")>=0,\"oes_texture_half_float extension not enabled\")}function d(e,r,i){var a=e.element,o=e.data,s=e.internalformat,l=e.format,u=e.type,h=e.width,f=e.height;c(e),a?t.texImage2D(r,i,l,l,u,a):e.compressed?t.compressedTexImage2D(r,i,s,h,f,0,o):e.needsCopy?(n(),t.copyTexImage2D(r,i,l,e.xOffset,e.yOffset,h,f,0)):t.texImage2D(r,i,l,h,f,0,l,u,o)}function p(e,r,i,a,o){var s=e.element,l=e.data,u=e.internalformat,h=e.format,f=e.type,d=e.width,p=e.height;c(e),s?t.texSubImage2D(r,o,i,a,h,f,s):e.compressed?t.compressedTexSubImage2D(r,o,i,a,u,d,p,l):e.needsCopy?(n(),t.copyTexSubImage2D(r,o,i,a,e.xOffset,e.yOffset,d,p)):t.texSubImage2D(r,o,i,a,d,p,h,f,l)}function m(){return K.pop()||new h}function v(t){t.needsFree&&Le.freeType(t.data),h.call(t),K.push(t)}function g(){s.call(this),this.genMipmaps=!1,this.mipmapHint=$r,this.mipmask=0,this.images=Array(16)}function y(t,e,r){var n=t.images[0]=m();t.mipmask=1,n.width=t.width=e,n.height=t.height=r,n.channels=t.channels=4}function b(t,e){var r=null;if(kt(e))r=t.images[0]=m(),l(r,t),f(r,e),t.mipmask=1;else if(u(t,e),Array.isArray(e.mipmap))for(var n=e.mipmap,i=0;i<n.length;++i)r=t.images[i]=m(),l(r,t),r.width>>=i,r.height>>=i,f(r,n[i]),t.mipmask|=1<<i;else 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r=0;r<32;++r)if(0!=(e.mipmask&1<<r))if(e.target===nr)t.texImage2D(nr,r,e.internalformat,e.width>>r,e.height>>r,0,e.internalformat,e.type,null);else for(var n=0;n<6;++n)t.texImage2D(ar+n,r,e.internalformat,e.width>>r,e.height>>r,0,e.internalformat,e.type,null);A(e.texInfo,e.target)})}var P={\"don't care\":$r,\"dont care\":$r,nice:en,fast:tn},O={repeat:Ur,clamp:Vr,mirror:Hr},R={nearest:Yr,linear:Wr},F=$t({mipmap:Kr,\"nearest mipmap nearest\":Xr,\"linear mipmap nearest\":Zr,\"nearest mipmap linear\":Jr,\"linear mipmap linear\":Kr},R),j={none:0,browser:ln},N={uint8:Or,rgba4:pr,rgb565:vr,\"rgb5 a1\":mr},B={alpha:sr,luminance:ur,\"luminance alpha\":cr,rgb:lr,rgba:or,rgba4:hr,\"rgb5 a1\":fr,rgb565:dr},U={};e.ext_srgb&&(B.srgb=xr,B.srgba=_r),e.oes_texture_float&&(N.float32=N.float=jr),e.oes_texture_half_float&&(N.float16=N[\"half float\"]=wr),e.webgl_depth_texture&&($t(B,{depth:yr,\"depth stencil\":br}),$t(N,{uint16:Rr,uint32:Fr,\"depth 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i=this.computedMatrix;m[0]=i[2],m[1]=i[6],m[2]=i[10];for(var a=this.computedUp,o=this.computedRight,s=this.computedToward,l=0;l<3;++l)i[4*l]=a[l],i[4*l+1]=o[l],i[4*l+2]=s[l];c(i,i,n,m);for(var l=0;l<3;++l)a[l]=i[4*l],o[l]=i[4*l+1];this.up.set(t,a[0],a[1],a[2]),this.right.set(t,o[0],o[1],o[2])}},p.pan=function(t,e,r,i){e=e||0,r=r||0,i=i||0,this.recalcMatrix(t);var a=this.computedMatrix,o=(Math.exp(this.computedRadius[0]),a[1]),s=a[5],l=a[9],u=n(o,s,l);o/=u,s/=u,l/=u;var c=a[0],h=a[4],f=a[8],d=c*o+h*s+f*l;c-=o*d,h-=s*d,f-=l*d;var p=n(c,h,f);c/=p,h/=p,f/=p;var m=c*e+o*r,v=h*e+s*r,g=f*e+l*r;this.center.move(t,m,v,g);var y=Math.exp(this.computedRadius[0]);y=Math.max(1e-4,y+i),this.radius.set(t,Math.log(y))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,a){var o=1;\"number\"==typeof r&&(o=0|r),(o<0||o>3)&&(o=1);var s=(o+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var l=e[o],c=e[o+4],h=e[o+8];if(a){var 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this._validate(t,this.minMonth,this.minDay,i.local.invalidYear||i.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);return t=n.year(),t<0&&t++,n.day()+30*(n.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),i.calendars.ethiopian=n},{\"../main\":581,\"object-assign\":470}],571:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function i(t,e){return t-e*Math.floor(t/e)}var a=t(\"../main\"),o=t(\"object-assign\");n.prototype=new a.baseCalendar,o(n.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom 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t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,a.local.invalidMonth),12===e&&this.leapYear(t)?30:8===e&&5===i(this.daysInYear(t),10)?30:9===e&&3===i(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var n=this._validate(t,e,r,a.local.invalidDate);return{yearType:(this.leapYear(n)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(n)%10-3]}},toJD:function(t,e,r){var n=this._validate(t,e,r,a.local.invalidDate);t=n.year(),e=n.month(),r=n.day();var i=t<=0?t+1:t,o=this.jdEpoch+this._delay1(i)+this._delay2(i)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(var s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(var s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return i(3*(n+1),7)<3&&n++,n},_delay2:function(t){var 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this._validate(t,this.minMonth,this.minDay,o.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,o.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if(t=t.split(\".\"),t.length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,o.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,o.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,o.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,o.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,o.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,o.local.invalidDate),!0},extraInfo:function(t,e,r){var n=this._validate(t,e,r,o.local.invalidDate),i=n.toJD(),a=this._toHaab(i),s=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[s[0]-1],tzolkinDay:s[0],tzolkinTrecena:s[1]}},_toHaab:function(t){t-=this.jdEpoch;var e=i(t+8+340,365);return[Math.floor(e/20)+1,i(e,20)]},_toTzolkin:function(t){return t-=this.jdEpoch,[a(t+20,20),a(t+4,13)]},toJD:function(t,e,r){var n=this._validate(t,e,r,o.local.invalidDate);return n.day()+20*n.month()+360*n.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),o.calendars.mayan=n},{\"../main\":581,\"object-assign\":470}],575:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\");n.prototype=new i.baseCalendar;var o=i.instance(\"gregorian\");a(n.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var 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i.baseCalendar,a(n.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,i.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);t=n.year(),e=n.month(),r=n.day();var a=i.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var u=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,\n",
       "s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(u)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(u,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=i.instance(),r=e.fromJD(t),n=r.year(),a=r.dayOfYear(),o=n+56;this._createMissingCalendarData(o);for(var s=9,l=this.NEPALI_CALENDAR_DATA[o][0],u=this.NEPALI_CALENDAR_DATA[o][s]-l+1;a>u;)s++,s>12&&(s=1,o++),u+=this.NEPALI_CALENDAR_DATA[o][s];var c=this.NEPALI_CALENDAR_DATA[o][s]-(u-a);return this.newDate(o,s,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 0===this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29,29,30,30],2077:[17,31,32,31,32,31,30,30,30,29,30,29,31],2078:[17,31,31,31,32,31,31,30,29,30,29,30,30],2079:[17,31,31,32,31,31,31,30,29,30,29,30,30],2080:[16,31,32,31,32,31,30,30,30,29,29,30,30],2081:[17,31,31,32,32,31,30,30,30,29,30,30,30],2082:[17,31,32,31,32,31,30,30,30,29,30,30,30],2083:[17,31,31,32,31,31,30,30,30,29,30,30,30],2084:[17,31,31,32,31,31,30,30,30,29,30,30,30],2085:[17,31,32,31,32,31,31,30,30,29,30,30,30],2086:[17,31,32,31,32,31,30,30,30,29,30,30,30],2087:[16,31,31,32,31,31,31,30,30,29,30,30,30],2088:[16,30,31,32,32,30,31,30,30,29,30,30,30],2089:[17,31,32,31,32,31,30,30,30,29,30,30,30],2090:[17,31,32,31,32,31,30,30,30,29,30,30,30],2091:[16,31,31,32,31,31,31,30,30,29,30,30,30],2092:[16,31,31,32,32,31,30,30,30,29,30,30,30],2093:[17,31,32,31,32,31,30,30,30,29,30,30,30],2094:[17,31,31,32,31,31,30,30,30,29,30,30,30],2095:[17,31,31,32,31,31,31,30,29,30,30,30,30],2096:[17,30,31,32,32,31,30,30,29,30,29,30,30],2097:[17,31,32,31,32,31,30,30,30,29,30,30,30],2098:[17,31,31,32,31,31,31,29,30,29,30,30,31],2099:[17,31,31,32,31,31,31,30,29,29,30,30,30],2100:[17,31,32,31,32,30,31,30,29,30,29,30,30]}}),i.calendars.nepali=n},{\"../main\":581,\"object-assign\":470}],577:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function i(t,e){return t-e*Math.floor(t/e)}var a=t(\"../main\"),o=t(\"object-assign\");n.prototype=new a.baseCalendar,o(n.prototype,{name:\"Persian\",jdEpoch:1948320.5,daysPerMonth:[31,31,31,31,31,31,30,30,30,30,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Persian\",epochs:[\"BP\",\"AP\"],monthNames:[\"Farvardin\",\"Ordibehesht\",\"Khordad\",\"Tir\",\"Mordad\",\"Shahrivar\",\"Mehr\",\"Aban\",\"Azar\",\"Day\",\"Bahman\",\"Esfand\"],monthNamesShort:[\"Far\",\"Ord\",\"Kho\",\"Tir\",\"Mor\",\"Sha\",\"Meh\",\"Aba\",\"Aza\",\"Day\",\"Bah\",\"Esf\"],dayNames:[\"Yekshambe\",\"Doshambe\",\"Seshambe\",\"Ch\\xe6harshambe\",\"Panjshambe\",\"Jom'e\",\"Shambe\"],dayNamesShort:[\"Yek\",\"Do\",\"Se\",\"Ch\\xe6\",\"Panj\",\"Jom\",\"Sha\"],dayNamesMin:[\"Ye\",\"Do\",\"Se\",\"Ch\",\"Pa\",\"Jo\",\"Sh\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,a.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,a.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var n=this._validate(t,e,r,a.local.invalidDate);t=n.year(),e=n.month(),r=n.day();var o=t-(t>=0?474:473),s=474+i(o,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(o/2820)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=t-this.toJD(475,1,1),r=Math.floor(e/1029983),n=i(e,1029983),a=2820;if(1029982!==n){var o=Math.floor(n/366),s=i(n,366);a=Math.floor((2134*o+2816*s+2815)/1028522)+o+1}var l=a+2820*r+474;l=l<=0?l-1:l;var u=t-this.toJD(l,1,1)+1,c=u<=186?Math.ceil(u/31):Math.ceil((u-6)/30),h=t-this.toJD(l,c,1)+1;return this.newDate(l,c,h)}}),a.calendars.persian=n,a.calendars.jalali=n},{\"../main\":581,\"object-assign\":470}],578:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\"),o=i.instance();n.prototype=new i.baseCalendar,a(n.prototype,{name:\"Taiwan\",jdEpoch:2419402.5,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),t=this._t2gYear(e.year());return o.leapYear(t)},weekOfYear:function(t,e,r){var n=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),t=this._t2gYear(n.year());return o.weekOfYear(t,n.month(),n.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate),t=this._t2gYear(n.year());return o.toJD(t,n.month(),n.day())},fromJD:function(t){var e=o.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),i.calendars.taiwan=n},{\"../main\":581,\"object-assign\":470}],579:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\"),o=i.instance();n.prototype=new i.baseCalendar,a(n.prototype,{name:\"Thai\",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),t=this._t2gYear(e.year());return o.leapYear(t)},weekOfYear:function(t,e,r){var n=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear),t=this._t2gYear(n.year());return o.weekOfYear(t,n.month(),n.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate),t=this._t2gYear(n.year());return o.toJD(t,n.month(),n.day())},fromJD:function(t){var e=o.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),i.calendars.thai=n},{\"../main\":581,\"object-assign\":470}],580:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}var i=t(\"../main\"),a=t(\"object-assign\");n.prototype=new i.baseCalendar,a(n.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear);return 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n(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function i(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function a(t,e){return t=\"\"+t,\"000000\".substring(0,e-t.length)+t}function o(){this.shortYearCutoff=\"+10\"}function s(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}var l=t(\"object-assign\");l(n.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance(),n.newDate(t,e,r)},substituteDigits:function(t){\n",
       "return function(e){return(e+\"\").replace(/[0-9]/g,function(e){return t[e]})}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),l(i.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+a(Math.abs(this.year()),4)+\"-\"+a(this.month(),2)+\"-\"+a(this.day(),2)}}),l(o.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new i(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+a(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return 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o=i[e];o.anchor&&\"free\"!==o.anchor&&(o.anchor=f.cleanId(o.anchor)),o.overlaying&&(o.overlaying=f.cleanId(o.overlaying)),o.type||(o.isdate?o.type=\"date\":o.islog?o.type=\"log\":!1===o.isdate&&!1===o.islog&&(o.type=\"linear\")),\"withzero\"!==o.autorange&&\"tozero\"!==o.autorange||(o.autorange=!0,o.rangemode=\"tozero\"),delete o.islog,delete o.isdate,delete o.categories,a(o,\"domain\")&&delete o.domain,void 0!==o.autotick&&(void 0===o.tickmode&&(o.tickmode=o.autotick?\"auto\":\"linear\"),delete o.autotick)}var s=Array.isArray(t.annotations)?t.annotations.length:0;for(e=0;e<s;e++){var u=t.annotations[e];c.isPlainObject(u)&&(u.ref&&(\"paper\"===u.ref?(u.xref=\"paper\",u.yref=\"paper\"):\"data\"===u.ref&&(u.xref=\"x\",u.yref=\"y\"),delete u.ref),n(u,\"xref\"),n(u,\"yref\"))}var p=Array.isArray(t.shapes)?t.shapes.length:0;for(e=0;e<p;e++){var m=t.shapes[e];c.isPlainObject(m)&&(n(m,\"xref\"),n(m,\"yref\"))}var v=t.legend;v&&(v.x>3?(v.x=1.02,v.xanchor=\"left\"):v.x<-2&&(v.x=-.02,v.xanchor=\"right\"),v.y>3?(v.y=1.02,v.yanchor=\"bottom\"):v.y<-2&&(v.y=-.02,v.yanchor=\"top\")),\"rotate\"===t.dragmode&&(t.dragmode=\"orbit\"),t.scene1&&(t.scene||(t.scene=t.scene1),delete t.scene1);var g=h.getSubplotIds(t,\"gl3d\");for(e=0;e<g.length;e++){var y=t[g[e]],b=y.cameraposition;if(Array.isArray(b)&&4===b[0].length){var x=b[0],_=b[1],w=b[2],M=l([],x),k=[];for(r=0;r<3;++r)k[r]=_[e]+w*M[2+4*r];y.camera={eye:{x:k[0],y:k[1],z:k[2]},center:{x:_[0],y:_[1],z:_[2]},up:{x:M[1],y:M[5],z:M[9]}},delete y.cameraposition}}return d.clean(t),t},r.cleanData=function(t,e){for(var n=[],o=(t.concat(Array.isArray(e)?e:[]).filter(function(t){return\"uid\"in t}).map(function(t){return t.uid})),s=0;s<t.length;s++){var l,p=t[s];if(!(\"uid\"in p)||-1!==n.indexOf(p.uid)){var m;for(l=0;l<100&&(m=c.randstr(o),-1!==n.indexOf(m));l++);p.uid=c.randstr(o),o.push(p.uid)}if(n.push(p.uid),\"histogramy\"===p.type&&\"xbins\"in p&&!(\"ybins\"in p)&&(p.ybins=p.xbins,delete p.xbins),p.error_y&&\"opacity\"in p.error_y){var v=d.defaults,g=p.error_y.color||(u.traceIs(p,\"bar\")?d.defaultLine:v[s%v.length]);p.error_y.color=d.addOpacity(d.rgb(g),d.opacity(g)*p.error_y.opacity),delete p.error_y.opacity}if(\"bardir\"in p&&(\"h\"!==p.bardir||!u.traceIs(p,\"bar\")&&\"histogram\"!==p.type.substr(0,9)||(p.orientation=\"h\",r.swapXYData(p)),delete p.bardir),\"histogramy\"===p.type&&r.swapXYData(p),\"histogramx\"!==p.type&&\"histogramy\"!==p.type||(p.type=\"histogram\"),\"scl\"in p&&(p.colorscale=p.scl,delete p.scl),\"reversescl\"in p&&(p.reversescale=p.reversescl,delete p.reversescl),p.xaxis&&(p.xaxis=f.cleanId(p.xaxis,\"x\")),p.yaxis&&(p.yaxis=f.cleanId(p.yaxis,\"y\")),u.traceIs(p,\"gl3d\")&&p.scene&&(p.scene=h.subplotsRegistry.gl3d.cleanId(p.scene)),u.traceIs(p,\"pie\")||u.traceIs(p,\"bar\")||(Array.isArray(p.textposition)?p.textposition=p.textposition.map(i):p.textposition&&(p.textposition=i(p.textposition))),u.traceIs(p,\"2dMap\")&&(\"YIGnBu\"===p.colorscale&&(p.colorscale=\"YlGnBu\"),\"YIOrRd\"===p.colorscale&&(p.colorscale=\"YlOrRd\")),u.traceIs(p,\"markerColorscale\")&&p.marker){var y=p.marker;\"YIGnBu\"===y.colorscale&&(y.colorscale=\"YlGnBu\"),\"YIOrRd\"===y.colorscale&&(y.colorscale=\"YlOrRd\")}if(\"surface\"===p.type&&c.isPlainObject(p.contours)){var b=[\"x\",\"y\",\"z\"];for(l=0;l<b.length;l++){var x=p.contours[b[l]];c.isPlainObject(x)&&(x.highlightColor&&(x.highlightcolor=x.highlightColor,delete x.highlightColor),x.highlightWidth&&(x.highlightwidth=x.highlightWidth,delete x.highlightWidth))}}if(Array.isArray(p.transforms)){var _=p.transforms;for(l=0;l<_.length;l++){var w=_[l];if(c.isPlainObject(w))switch(w.type){case\"filter\":w.filtersrc&&(w.target=w.filtersrc,delete w.filtersrc),w.calendar&&(w.valuecalendar||(w.valuecalendar=w.calendar),delete w.calendar);break;case\"groupby\":if(w.styles=w.styles||w.style,w.styles&&!Array.isArray(w.styles)){var M=w.styles,k=Object.keys(M);w.styles=[];for(var A=0;A<k.length;A++)w.styles.push({target:k[A],value:M[k[A]]})}}}}a(p,\"line\")&&delete p.line,\"marker\"in p&&(a(p.marker,\"line\")&&delete p.marker.line,a(p,\"marker\")&&delete p.marker),d.clean(p)}},r.swapXYData=function(t){var e;if(c.swapAttrs(t,[\"?\",\"?0\",\"d?\",\"?bins\",\"nbins?\",\"autobin?\",\"?src\",\"error_?\"]),Array.isArray(t.z)&&Array.isArray(t.z[0])&&(t.transpose?delete t.transpose:t.transpose=!0),t.error_x&&t.error_y){var r=t.error_y,n=\"copy_ystyle\"in r?r.copy_ystyle:!(r.color||r.thickness||r.width);c.swapAttrs(t,[\"error_?.copy_ystyle\"]),n&&c.swapAttrs(t,[\"error_?.color\",\"error_?.thickness\",\"error_?.width\"])}if(\"string\"==typeof t.hoverinfo){var i=t.hoverinfo.split(\"+\");for(e=0;e<i.length;e++)\"x\"===i[e]?i[e]=\"y\":\"y\"===i[e]&&(i[e]=\"x\");t.hoverinfo=i.join(\"+\")}},r.coerceTraceIndices=function(t,e){return s(e)?[e]:Array.isArray(e)&&e.length?e:t.data.map(function(t,e){return e})},r.manageArrayContainers=function(t,e,r){var n=t.obj,i=t.parts,a=i.length,o=i[a-1],l=s(o);if(l&&null===e){var u=i.slice(0,a-1).join(\".\");c.nestedProperty(n,u).get().splice(o,1)}else l&&void 0===t.get()?(void 0===t.get()&&(r[t.astr]=null),t.set(e)):t.set(e)};var p=/(\\.[^\\[\\]\\.]+|\\[[^\\[\\]\\.]+\\])$/;r.hasParent=function(t,e){for(var r=o(e);r;){if(r in t)return!0;r=o(r)}return!1};var m=[\"x\",\"y\",\"z\"];r.clearAxisTypes=function(t,e,r){for(var n=0;n<e.length;n++)for(var i=t._fullData[n],a=0;a<3;a++){var o=f.getFromTrace(t,i,m[a]);if(o&&\"log\"!==o.type){var s=o._name,l=o._id.substr(1);if(\"scene\"===l.substr(0,5)){if(void 0!==r[l])continue;s=l+\".\"+s}var u=s+\".type\";void 0===r[s]&&void 0===r[u]&&c.nestedProperty(t.layout,u).set(null)}}}},{\"../components/color\":604,\"../lib\":728,\"../plots/cartesian/axes\":772,\"../plots/plots\":831,\"../registry\":846,\"fast-isnumeric\":131,\"gl-mat4/fromQuat\":178}],758:[function(t,e,r){\"use strict\";var n=t(\"../lib/nested_property\"),i=t(\"../lib/is_plain_object\"),a=t(\"../lib/noop\"),o=t(\"../lib/loggers\"),s=t(\"../lib/search\").sorterAsc,l=t(\"../registry\");r.containerArrayMatch=t(\"./container_array_match\");var u=r.isAddVal=function(t){return\"add\"===t||i(t)},c=r.isRemoveVal=function(t){return null===t||\"remove\"===t};r.applyContainerArrayChanges=function(t,e,r,i){var h=e.astr,f=l.getComponentMethod(h,\"supplyLayoutDefaults\"),d=l.getComponentMethod(h,\"draw\"),p=l.getComponentMethod(h,\"drawOne\"),m=i.replot||i.recalc||f===a||d===a,v=t.layout,g=t._fullLayout;if(r[\"\"]){Object.keys(r).length>1&&o.warn(\"Full array edits are incompatible with other edits\",h);var y=r[\"\"][\"\"];if(c(y))e.set(null);else{if(!Array.isArray(y))return o.warn(\"Unrecognized full array edit value\",h,y),!0;e.set(y)}return!m&&(f(v,g),d(t),!0)}var b,x,_,w,M,k,A,T=Object.keys(r).map(Number).sort(s),S=e.get(),E=S||[],L=n(g,h).get(),C=[],I=-1,z=E.length;for(b=0;b<T.length;b++)if(_=T[b],w=r[_],M=Object.keys(w),k=w[\"\"],A=u(k),_<0||_>E.length-(A?0:1))o.warn(\"index out of range\",h,_);else if(void 0!==k)M.length>1&&o.warn(\"Insertion & removal are incompatible with edits to the same index.\",h,_),c(k)?C.push(_):A?(\"add\"===k&&(k={}),E.splice(_,0,k),L&&L.splice(_,0,{})):o.warn(\"Unrecognized full object edit value\",h,_,k),-1===I&&(I=_);else for(x=0;x<M.length;x++)n(E[_],M[x]).set(w[M[x]]);for(b=C.length-1;b>=0;b--)E.splice(C[b],1),L&&L.splice(C[b],1);if(E.length?S||e.set(E):e.set(null),m)return!1;if(f(v,g),p!==a){var D;if(-1===I)D=T;else{for(z=Math.max(E.length,z),D=[],b=0;b<T.length&&!((_=T[b])>=I);b++)D.push(_);for(b=I;b<z;b++)D.push(b)}for(b=0;b<D.length;b++)p(t,D[b])}else d(t);return!0}},{\"../lib/is_plain_object\":730,\"../lib/loggers\":732,\"../lib/nested_property\":735,\"../lib/noop\":736,\"../lib/search\":745,\"../registry\":846,\"./container_array_match\":755}],759:[function(t,e,r){\"use strict\";function n(t,e){try{t._fullLayout._paper.style(\"background\",e)}catch(t){w.error(t)}}function i(t,e){n(t,I.combine(e,\"white\"))}function a(t,e){t._context||(t._context=w.extendDeep({},_.defaultConfig));var r,a,o,s=t._context;if(e){for(a=Object.keys(e),r=0;r<a.length;r++)\"editable\"!==(o=a[r])&&\"edits\"!==o&&o in s&&(\"setBackground\"===o&&\"opaque\"===e[o]?s[o]=i:s[o]=e[o]);e.plot3dPixelRatio&&!s.plotGlPixelRatio&&(s.plotGlPixelRatio=s.plot3dPixelRatio);var l=e.editable;if(void 0!==l)for(s.editable=l,a=Object.keys(s.edits),r=0;r<a.length;r++)s.edits[a[r]]=l;if(e.edits)for(a=Object.keys(e.edits),r=0;r<a.length;r++)(o=a[r])in s.edits&&(s.edits[o]=e.edits[o])}s.staticPlot&&(s.editable=!1,s.edits={},s.autosizable=!1,s.scrollZoom=!1,s.doubleClick=!1,s.showTips=!1,s.showLink=!1,s.displayModeBar=!1),\"hover\"!==s.displayModeBar||x||(s.displayModeBar=!0),\"transparent\"!==s.setBackground&&\"function\"==typeof s.setBackground||(s.setBackground=n)}function o(t,e,r){var n=y.select(t).selectAll(\".plot-container\").data([0]);n.enter().insert(\"div\",\":first-child\").classed(\"plot-container plotly\",!0);var i=n.selectAll(\".svg-container\").data([0]);i.enter().append(\"div\").classed(\"svg-container\",!0).style(\"position\",\"relative\"),i.html(\"\"),e&&(t.data=e),r&&(t.layout=r),E.manager.fillLayout(t),i.style({width:t._fullLayout.width+\"px\",height:t._fullLayout.height+\"px\"}),t.framework=E.manager.framework(t),t.framework({data:t.data,layout:t.layout},i.node()),t.framework.setUndoPoint();var a=t.framework.svg(),o=1,s=t._fullLayout.title;\"\"!==s&&s||(o=0);var l=function(){this.call(P.convertToTspans,t)},u=a.select(\".title-group text\").call(l);if(t._context.edits.titleText){s&&\"Click to enter title\"!==s||(o=.2,u.attr({\"data-unformatted\":\"Click to enter title\"}).text(\"Click to enter title\").style({opacity:o}).on(\"mouseover.opacity\",function(){y.select(this).transition().duration(100).style(\"opacity\",1)}).on(\"mouseout.opacity\",function(){y.select(this).transition().duration(1e3).style(\"opacity\",0)}));var c=function(){this.call(P.makeEditable,{gd:t}).on(\"edit\",function(e){t.framework({layout:{title:e}}),this.text(e).call(l),this.call(c)}).on(\"cancel\",function(){var t=this.attr(\"data-unformatted\");this.text(t).call(l)})};u.call(c)}return t._context.setBackground(t,t._fullLayout.paper_bgcolor),S.addLinks(t),Promise.resolve()}function s(t,e){var r,n,i=e+1,a=[];for(r=0;r<t.length;r++)n=t[r],n<0?a.push(i+n):a.push(n);return a}function l(t,e,r){var n,i;for(n=0;n<e.length;n++){if((i=e[n])!==parseInt(i,10))throw new Error(\"all values in \"+r+\" must be integers\");if(i>=t.data.length||i<-t.data.length)throw new Error(r+\" must be valid indices for gd.data.\");if(e.indexOf(i,n+1)>-1||i>=0&&e.indexOf(-t.data.length+i)>-1||i<0&&e.indexOf(t.data.length+i)>-1)throw new Error(\"each index in \"+r+\" must be unique.\")}}function u(t,e,r){if(!Array.isArray(t.data))throw new Error(\"gd.data must be an array.\");if(void 0===e)throw new Error(\"currentIndices is a required argument.\");if(Array.isArray(e)||(e=[e]),l(t,e,\"currentIndices\"),void 0===r||Array.isArray(r)||(r=[r]),void 0!==r&&l(t,r,\"newIndices\"),void 0!==r&&e.length!==r.length)throw new Error(\"current and new indices must be of equal length.\")}function c(t,e,r){var n,i;if(!Array.isArray(t.data))throw new Error(\"gd.data must be an array.\");if(void 0===e)throw new Error(\"traces must be defined.\");for(Array.isArray(e)||(e=[e]),n=0;n<e.length;n++)if(\"object\"!=typeof(i=e[n])||Array.isArray(i)||null===i)throw new Error(\"all values in traces array must be non-array objects\");if(void 0===r||Array.isArray(r)||(r=[r]),void 0!==r&&r.length!==e.length)throw new Error(\"if indices is specified, traces.length must equal indices.length\")}function h(t,e,r,n){var i=w.isPlainObject(n);if(!Array.isArray(t.data))throw new Error(\"gd.data must be an array\");if(!w.isPlainObject(e))throw new Error(\"update must be a key:value object\");if(void 0===r)throw new Error(\"indices must be an integer or array of integers\");l(t,r,\"indices\");for(var a in e){if(!Array.isArray(e[a])||e[a].length!==r.length)throw new Error(\"attribute \"+a+\" must be an array of length equal to indices array length\");if(i&&(!(a in n)||!Array.isArray(n[a])||n[a].length!==e[a].length))throw new Error(\"when maxPoints is set as a key:value object it must contain a 1:1 corrispondence with the keys and number of traces in the update object\")}}function f(t,e,r,n){var i,a,o,l,u,c=w.isPlainObject(n),h=[];Array.isArray(r)||(r=[r]),r=s(r,t.data.length-1);for(var f in e)for(var d=0;d<r.length;d++){if(i=t.data[r[d]],o=w.nestedProperty(i,f),a=o.get(),l=e[f][d],!Array.isArray(l))throw new Error(\"attribute: \"+f+\" index: \"+d+\" must be an array\");if(!Array.isArray(a))throw new Error(\"cannot extend missing or non-array attribute: \"+f);u=c?n[f][d]:n,b(u)||(u=-1),h.push({prop:o,target:a,insert:l,maxp:Math.floor(u)})}return h}function d(t,e,r,n,i,a){h(t,e,r,n);for(var o,s,l,u=f(t,e,r,n),c=[],d={},p={},m=0;m<u.length;m++)s=u[m].prop,l=u[m].maxp,o=i(u[m].target,u[m].insert),l>=0&&l<o.length&&(c=a(o,l)),l=u[m].target.length,s.set(o),Array.isArray(d[s.astr])||(d[s.astr]=[]),Array.isArray(p[s.astr])||(p[s.astr]=[]),d[s.astr].push(c),p[s.astr].push(l);return{update:d,maxPoints:p}}function p(t){return void 0===t?null:t}function m(t,e,r){function n(){return r.map(function(){})}function i(t){var e=_.Axes.id2name(t);-1===u.indexOf(e)&&u.push(e)}function a(t){return\"LAYOUT\"+t+\".autorange\"}function o(t){return\"LAYOUT\"+t+\".range\"}function s(i,a,o){if(Array.isArray(i))return void i.forEach(function(t){s(t,a,o)});if(!(i in e||R.hasParent(e,i))){var l;l=\"LAYOUT\"===i.substr(0,6)?w.nestedProperty(t.layout,i.replace(\"LAYOUT\",\"\")):w.nestedProperty(f[r[o]],i),i in v||(v[i]=n()),void 0===v[i][o]&&(v[i][o]=p(l.get())),void 0!==a&&l.set(a)}}var l,u,c=t._fullLayout,h=t._fullData,f=t.data,d=j.traceFlags(),m={},v={},g={};for(var y in e){if(R.hasParent(e,y))throw 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n,i,a,o,s=V.getFromId(t,e),l=w.select(t).selectAll(\"g.\"+e+\"tick\"),u={selection:l,side:s.side},h=e.charAt(0),f=t._fullLayout._size,d=s.titlefont.size;if(l.size()){var p=L.getTranslate(l.node().parentNode);u.offsetLeft=p.x,u.offsetTop=p.y}var 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names\":\"countries\"},r.sphereSVG={type:\"Sphere\"},r.fillLayers={ocean:1,land:1,lakes:1},r.lineLayers={subunits:1,countries:1,coastlines:1,rivers:1,frame:1},r.layers=[\"bg\",\"ocean\",\"land\",\"lakes\",\"subunits\",\"countries\",\"coastlines\",\"rivers\",\"lataxis\",\"lonaxis\",\"frame\",\"backplot\",\"frontplot\"],r.layersForChoropleth=[\"bg\",\"ocean\",\"land\",\"subunits\",\"countries\",\"coastlines\",\"lataxis\",\"lonaxis\",\"frame\",\"backplot\",\"rivers\",\"lakes\",\"frontplot\"],r.layerNameToAdjective={ocean:\"ocean\",land:\"land\",lakes:\"lake\",subunits:\"subunit\",countries:\"country\",coastlines:\"coastline\",rivers:\"river\",frame:\"frame\"}},{}],799:[function(t,e,r){\"use strict\";function 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h=e._isScoped=\"world\"!==o,f=e._isConic=-1!==u.indexOf(\"conic\");e._isClipped=!!a.lonaxisSpan[u];for(var d=0;d<s.length;d++){var p,m=s[d],v=[30,10][d];if(h)p=l[m+\"Range\"];else{var g=a[m+\"Span\"],y=(g[u]||g[\"*\"])/2,b=r(\"projection.rotation.\"+m.substr(0,3),l.projRotate[d]);p=[b-y,b+y]}r(m+\".tick0\",r(m+\".range\",p)[0]),r(m+\".dtick\",v),n=r(m+\".showgrid\"),n&&(r(m+\".gridcolor\"),r(m+\".gridwidth\"))}var x=e.lonaxis.range,_=e.lataxis.range,w=x[0],M=x[1];w>0&&M<0&&(M+=360);var k,A=(w+M)/2;if(!c){var T=h?l.projRotate:[A,0,0];k=r(\"projection.rotation.lon\",T[0]),r(\"projection.rotation.lat\",T[1]),r(\"projection.rotation.roll\",T[2]),n=r(\"showcoastlines\",!h),n&&(r(\"coastlinecolor\"),r(\"coastlinewidth\")),n=r(\"showocean\"),n&&r(\"oceancolor\")}var 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r=t[0],n=t[1],i=t[2],a=t[3],o=e[0],s=e[1],l=e[2],u=e[3];return[r*o-n*s-i*l-a*u,r*s+n*o+i*u-a*l,r*l-n*u+i*o+a*s,r*u+n*l-i*s+a*o]}function f(t,e){if(t&&e){var r=x(t,e),n=Math.sqrt(b(r,r)),i=.5*Math.acos(Math.max(-1,Math.min(1,b(t,e)))),a=Math.sin(i)/n;return n&&[Math.cos(i),r[2]*a,-r[1]*a,r[0]*a]}}function d(t,e,r){var n=v(e,2,t[0]);n=v(n,1,t[1]),n=v(n,0,t[2]-r[2]);var i,a,o=e[0],s=e[1],l=e[2],u=n[0],c=n[1],h=n[2],f=Math.atan2(s,o)*A,d=Math.sqrt(o*o+s*s);Math.abs(c)>d?(a=(c>0?90:-90)-f,i=0):(a=Math.asin(c/d)*A-f,i=Math.sqrt(d*d-c*c));var m=180-a-2*f,g=(Math.atan2(h,u)-Math.atan2(l,i))*A,y=(Math.atan2(h,u)-Math.atan2(l,-i))*A;return p(r[0],r[1],a,g)<=p(r[0],r[1],m,y)?[a,g,r[2]]:[m,y,r[2]]}function p(t,e,r,n){var i=m(r-t),a=m(n-e);return Math.sqrt(i*i+a*a)}function m(t){return(t%360+540)%360-180}function v(t,e,r){var n=r*k,i=t.slice(),a=0===e?1:0,o=2===e?1:2,s=Math.cos(n),l=Math.sin(n);return i[a]=t[a]*s-t[o]*l,i[o]=t[o]*s+t[a]*l,i}function 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n(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}function i(t){function e(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function r(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}function i(n,i,a){function o(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(f[e]=i,f[e+2]=a,h.dataBox=f,t.setRanges(f)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}var s,u,f=t.calcDataBox(),d=c.viewBox,p=h.lastPos[0],m=h.lastPos[1],v=l.MINDRAG*c.pixelRatio,g=l.MINZOOM*c.pixelRatio;switch(i*=c.pixelRatio,a*=c.pixelRatio,a=d[3]-d[1]-a,t.fullLayout.dragmode){case\"zoom\":if(n){var y=i/(d[2]-d[0])*(f[2]-f[0])+f[0],b=a/(d[3]-d[1])*(f[3]-f[1])+f[1];h.boxInited||(h.boxStart[0]=y,h.boxStart[1]=b,h.dragStart[0]=i,h.dragStart[1]=a),h.boxEnd[0]=y,h.boxEnd[1]=b,h.boxInited=!0,h.boxEnabled||h.boxStart[0]===h.boxEnd[0]&&h.boxStart[1]===h.boxEnd[1]||(h.boxEnabled=!0);var x=Math.abs(h.dragStart[0]-i)<g,_=Math.abs(h.dragStart[1]-a)<g;if(!r()||x&&_)x&&(h.boxEnd[0]=h.boxStart[0]),_&&(h.boxEnd[1]=h.boxStart[1]);else{s=h.boxEnd[0]-h.boxStart[0],u=h.boxEnd[1]-h.boxStart[1];var 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h.boxEnabled?(s=h.boxStart[0]!==h.boxEnd[0],u=h.boxStart[1]!==h.boxEnd[1],s||u?(s&&(o(0,h.boxStart[0],h.boxEnd[0]),t.xaxis.autorange=!1),u&&(o(1,h.boxStart[1],h.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),h.boxEnabled=!1,h.boxInited=!1):h.boxInited&&(h.boxInited=!1);break;case\"pan\":h.boxEnabled=!1,h.boxInited=!1,n?(h.panning||(h.dragStart[0]=i,h.dragStart[1]=a),Math.abs(h.dragStart[0]-i)<v&&(i=h.dragStart[0]),Math.abs(h.dragStart[1]-a)<v&&(a=h.dragStart[1]),s=(p-i)*(f[2]-f[0])/(c.viewBox[2]-c.viewBox[0]),u=(m-a)*(f[3]-f[1])/(c.viewBox[3]-c.viewBox[1]),f[0]+=s,f[2]+=s,f[1]+=u,f[3]+=u,t.setRanges(f),h.panning=!0,h.lastInputTime=Date.now(),e(),t.cameraChanged(),t.handleAnnotations()):h.panning&&(h.panning=!1,t.relayoutCallback())}h.lastPos[0]=i,h.lastPos[1]=a}var u=t.mouseContainer,c=t.glplot,h=new n(u,c);return h.mouseListener=a(u,i),u.addEventListener(\"touchstart\",function(t){var e=s(t.changedTouches[0],u);i(0,e[0],e[1]),i(1,e[0],e[1])}),u.addEventListener(\"touchmove\",function(t){t.preventDefault();var e=s(t.changedTouches[0],u);i(1,e[0],e[1])}),u.addEventListener(\"touchend\",function(){i(0,h.lastPos[0],h.lastPos[1])}),h.wheelListener=o(u,function(r,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=c.viewBox,o=h.lastPos[0],s=h.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),u=o/(a[2]-a[0])*(i[2]-i[0])+i[0],f=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-u)*l+u,i[2]=(i[2]-u)*l+u,i[1]=(i[1]-f)*l+f,i[3]=(i[3]-f)*l+f,t.setRanges(i),h.lastInputTime=Date.now(),e(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),h}var a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"../cartesian/constants\");e.exports=i},{\"../cartesian/constants\":777,\"mouse-change\":452,\"mouse-event-offset\":453,\"mouse-wheel\":455}],807:[function(t,e,r){\"use strict\";function n(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}function i(t){return new n(t)}var a=t(\"../plots\"),o=t(\"../cartesian/axes\"),s=t(\"../../lib/html2unicode\"),l=t(\"../../lib/str2rgbarray\"),u=n.prototype,c=[\"xaxis\",\"yaxis\"];u.merge=function(t){this.titleEnable=!1,this.backgroundColor=l(t.plot_bgcolor);var e,r,n,i,a,o,u,h,f,d,p;for(d=0;d<2;++d){for(e=c[d],r=t[this.scene[e]._name],n=/Click to enter .+ title/.test(r.title)?\"\":r.title,p=0;p<=2;p+=2)this.labelEnable[d+p]=!1,this.labels[d+p]=s(n),this.labelColor[d+p]=l(r.titlefont.color),this.labelFont[d+p]=r.titlefont.family,this.labelSize[d+p]=r.titlefont.size,this.labelPad[d+p]=this.getLabelPad(e,r),this.tickEnable[d+p]=!1,this.tickColor[d+p]=l((r.tickfont||{}).color),this.tickAngle[d+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[d+p]=this.getTickPad(r),this.tickMarkLength[d+p]=0,this.tickMarkWidth[d+p]=r.tickwidth||0,this.tickMarkColor[d+p]=l(r.tickcolor),this.borderLineEnable[d+p]=!1,this.borderLineColor[d+p]=l(r.linecolor),this.borderLineWidth[d+p]=r.linewidth||0;u=this.hasSharedAxis(r),a=this.hasAxisInDfltPos(e,r)&&!u,o=this.hasAxisInAltrPos(e,r)&&!u,i=r.mirror||!1,h=u?-1!==String(i).indexOf(\"all\"):!!i,f=u?\"allticks\"===i:-1!==String(i).indexOf(\"ticks\"),a?this.labelEnable[d]=!0:o&&(this.labelEnable[d+2]=!0),a?this.tickEnable[d]=r.showticklabels:o&&(this.tickEnable[d+2]=r.showticklabels),(a||h)&&(this.borderLineEnable[d]=r.showline),(o||h)&&(this.borderLineEnable[d+2]=r.showline),(a||f)&&(this.tickMarkLength[d]=this.getTickMarkLength(r)),(o||f)&&(this.tickMarkLength[d+2]=this.getTickMarkLength(r)),this.gridLineEnable[d]=r.showgrid,this.gridLineColor[d]=l(r.gridcolor),this.gridLineWidth[d]=r.gridwidth,this.zeroLineEnable[d]=r.zeroline,this.zeroLineColor[d]=l(r.zerolinecolor),this.zeroLineWidth[d]=r.zerolinewidth}},u.hasSharedAxis=function(t){var e=this.scene,r=a.getSubplotIds(e.fullLayout,\"gl2d\");return 0!==o.findSubplotsWithAxis(r,t).indexOf(e.id)},u.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},u.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},u.getLabelPad=function(t,e){var r=e.titlefont.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},u.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},u.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=i},{\n",
       "\"../../lib/html2unicode\":726,\"../../lib/str2rgbarray\":749,\"../cartesian/axes\":772,\"../plots\":831}],808:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"./scene2d\"),a=t(\"../plots\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),u=t(\"../../components/fx/layout_attributes\");r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.layoutAttributes.plot_bgcolor,hoverlabel:u.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=a.getSubplotIds(e,\"gl2d\"),o=0;o<n.length;o++){var s=n[o],l=e._plots[s],u=a.getSubplotData(r,\"gl2d\",s),c=l._scene2d;void 0===c&&(c=new i({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),l._scene2d=c),c.plot(u,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=a.getSubplotIds(n,\"gl2d\"),o=0;o<i.length;o++){var s=i[o],u=n._plots[s];if(u._scene2d){0===a.getSubplotData(t,\"gl2d\",s).length&&(u._scene2d.destroy(),delete n._plots[s])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=a.getSubplotIds(e,\"gl2d\"),n=0;n<r.length;n++){var i=e._plots[r[n]],s=i._scene2d,l=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":l,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),s.destroy()}},r.updateFx=function(t){for(var e=a.getSubplotIds(t,\"gl2d\"),r=0;r<e.length;r++){t._plots[e[r]]._scene2d.updateFx(t.dragmode)}}},{\"../../components/fx/layout_attributes\":646,\"../../constants/xmlns_namespaces\":709,\"../../plot_api/edit_types\":756,\"../cartesian\":782,\"../cartesian/attributes\":771,\"../cartesian/constants\":777,\"../plots\":831,\"./scene2d\":809}],809:[function(t,e,r){\"use strict\";function n(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context.scrollZoom,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.glplotOptions=p(this),this.glplotOptions.merge(e),this.glplot=c(this.glplotOptions),this.camera=m(this),this.traces={},this.spikes=h(this.glplot),this.selectBox=f(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.bounds=[1/0,1/0,-1/0,-1/0],this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw()}function i(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1}var a,o,s=t(\"../../registry\"),l=t(\"../../plots/cartesian/axes\"),u=t(\"../../components/fx\"),c=t(\"gl-plot2d\"),h=t(\"gl-spikes2d\"),f=t(\"gl-select-box\"),d=t(\"webgl-context\"),p=t(\"./convert\"),m=t(\"./camera\"),v=t(\"../../lib/html2unicode\"),g=t(\"../../lib/show_no_webgl_msg\"),y=t(\"../../plots/cartesian/constraints\"),b=y.enforce,x=y.clean,_=[\"xaxis\",\"yaxis\"];e.exports=n;var w=n.prototype;w.makeFramework=function(){if(this.staticPlot){if(!(o||(a=document.createElement(\"canvas\"),o=d({canvas:a,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=a,this.gl=o}else{var t=document.createElement(\"canvas\"),e=d({canvas:t,premultipliedAlpha:!0});e||g(this),this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r),r.className+=\"user-select-none\";var n=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");n.style.position=\"absolute\",n.style.top=n.style.left=\"0px\",n.style.width=n.style.height=\"100%\",n.style[\"z-index\"]=20,n.style[\"pointer-events\"]=\"none\";var i=this.mouseContainer=document.createElement(\"div\");i.style.position=\"absolute\",i.style[\"pointer-events\"]=\"auto\";var s=this.container;s.appendChild(r),s.appendChild(n),s.appendChild(i);var l=this;i.addEventListener(\"mouseout\",function(){l.isMouseOver=!1,l.unhover()}),i.addEventListener(\"mouseover\",function(){l.isMouseOver=!0})},w.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(a),this.updateSize(this.canvas),this.glplot.setDirty(),this.glplot.draw();var e=this.glplot.gl,r=e.drawingBufferWidth,n=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var i=new Uint8Array(r*n*4);e.readPixels(0,0,r,n,e.RGBA,e.UNSIGNED_BYTE,i);for(var o=0,s=n-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=i[4*(r*o+l)+u];i[4*(r*o+l)+u]=i[4*(r*s+l)+u],i[4*(r*s+l)+u]=c}var h=document.createElement(\"canvas\");h.width=r,h.height=n;var f=h.getContext(\"2d\"),d=f.createImageData(r,n);d.data.set(i),f.putImageData(d,0,0);var p;switch(t){case\"jpeg\":p=h.toDataURL(\"image/jpeg\");break;case\"webp\":p=h.toDataURL(\"image/webp\");break;default:p=h.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(a),p},w.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),this.redraw&&this.redraw(),t},w.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[l.calcTicks(this.xaxis),l.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=v(t[e][r].text+\"\");return t},w.updateRefs=function(t){this.fullLayout=t;var e=l.subplotMatch,r=\"xaxis\"+this.id.match(e)[1],n=\"yaxis\"+this.id.match(e)[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},w.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout;n.xaxis.autorange=e.autorange,n.xaxis.range=e.range.slice(0),n.yaxis.autorange=r.autorange,n.yaxis.range=r.range.slice(0);var i={lastInputTime:this.camera.lastInputTime};i[e._name]=e.range.slice(0),i[r._name]=r.range.slice(0),t.emit(\"plotly_relayout\",i)},w.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();i(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},w.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&s.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},w.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map(function(e){t[e].dispose(),delete t[e]}),this.glplot.dispose(),this.staticPlot||this.container.removeChild(this.canvas),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},w.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis}};x(s,this.xaxis),x(s,this.yaxis);var u=r._size,c=this.xaxis.domain,h=this.yaxis.domain;o.viewBox=[u.l+c[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-c[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(c[1]-c[0])+\"px\",this.mouseContainer.style.height=u.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=u.h*(h[1]-h[0]),this.mouseContainer.style.left=u.l+c[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+\"px\";var f=this.bounds;f[0]=f[1]=1/0,f[2]=f[3]=-1/0;var d,p,m=Object.keys(this.traces);for(p=0;p<m.length;++p)for(var v=this.traces[m[p]],g=0;g<2;++g)f[g]=Math.min(f[g],v.bounds[g]),f[g+2]=Math.max(f[g+2],v.bounds[g+2]);for(p=0;p<2;++p)f[p]>f[p+2]&&(f[p]=-1,f[p+2]=1),d=this[_[p]],d._length=o.viewBox[p+2]-o.viewBox[p],l.doAutoRange(d),d.setScale();b(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},w.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},w.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},w.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if(i=t[n],i.uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort(function(t,e){return t._trace.index-e._trace.index})},w.updateFx=function(t){this.mouseContainer.style[\"pointer-events\"]=\"lasso\"===t||\"select\"===t?\"none\":\"auto\",this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},w.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};u.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},w.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,s=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var l=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(l[c]=t.dataBox[c],l[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var h=i._size,f=this.xaxis.domain,d=this.yaxis.domain;a=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,s/t.pixelRatio-(h.t+(1-d[1])*h.h));var p=a&&a.object._trace.handlePick(a);if(p&&n&&this.emitPointAction(p,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&p&&(!this.lastPickResult||this.lastPickResult.traceUid!==p.trace.uid||this.lastPickResult.dataCoord[0]!==p.dataCoord[0]||this.lastPickResult.dataCoord[1]!==p.dataCoord[1])){var m=p;this.lastPickResult={traceUid:p.trace?p.trace.uid:null,dataCoord:p.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),m.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(p,\"plotly_hover\");var v=this.fullData[m.trace.index]||{},g=m.pointIndex,y=u.castHoverinfo(v,i,g);if(y&&\"all\"!==y){var b=y.split(\"+\");-1===b.indexOf(\"x\")&&(m.traceCoord[0]=void 0),-1===b.indexOf(\"y\")&&(m.traceCoord[1]=void 0),-1===b.indexOf(\"z\")&&(m.traceCoord[2]=void 0),-1===b.indexOf(\"text\")&&(m.textLabel=void 0),-1===b.indexOf(\"name\")&&(m.name=void 0)}u.loneHover({x:m.screenCoord[0],y:m.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",m.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",m.traceCoord[1]),zLabel:m.traceCoord[2],text:m.textLabel,name:m.name,color:u.castHoverOption(v,g,\"bgcolor\")||m.color,borderColor:u.castHoverOption(v,g,\"bordercolor\"),fontFamily:u.castHoverOption(v,g,\"font.family\"),fontSize:u.castHoverOption(v,g,\"font.size\"),fontColor:u.castHoverOption(v,g,\"font.color\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},w.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),u.loneUnhover(this.svgContainer))},w.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return l.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../components/fx\":645,\"../../lib/html2unicode\":726,\"../../lib/show_no_webgl_msg\":747,\"../../plots/cartesian/axes\":772,\"../../plots/cartesian/constraints\":779,\"../../registry\":846,\"./camera\":806,\"./convert\":807,\"gl-plot2d\":219,\"gl-select-box\":253,\"gl-spikes2d\":262,\"webgl-context\":563}],810:[function(t,e,r){\"use strict\";function n(t,e){function r(e,r,n,a){var o=p.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,c=\"zoom\"===o,f=!!a.control,d=!!a.alt,y=!!a.shift,b=!!(1&e),x=!!(2&e),_=!!(4&e),w=1/t.clientHeight,M=w*(r-m),k=w*(n-v),A=p.flipX?1:-1,T=p.flipY?1:-1,S=i(),E=Math.PI*p.rotateSpeed;if((s&&b&&!f&&!d&&!y||b&&!f&&!d&&y)&&u.rotate(S,A*E*M,-T*E*k,0),(l&&b&&!f&&!d&&!y||x||b&&f&&!d&&!y)&&u.pan(S,-p.translateSpeed*M*h,p.translateSpeed*k*h,0),c&&b&&!f&&!d&&!y||_||b&&!f&&d&&!y){var L=-p.zoomSpeed*k/window.innerHeight*(S-u.lastT())*100;u.pan(S,0,0,h*(Math.exp(L)-1))}return m=r,v=n,g=a,!0}}t=t||document.body,e=e||{};var n=[.01,1/0];\"distanceLimits\"in e&&(n[0]=e.distanceLimits[0],n[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(n[0]=e.zoomMin),\"zoomMax\"in e&&(n[1]=e.zoomMax);var u=a({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:n}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],h=0,f=t.clientWidth,d=t.clientHeight,p={keyBindingMode:\"rotate\",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,tick:function(){var e=i(),r=this.delay,n=e-2*r;u.idle(e-r),u.recalcMatrix(n),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===f&&t.clientHeight===d;return f=t.clientWidth,d=t.clientHeight,a?!l:(h=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)}};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(),n=u.computedCenter.slice();if(u.setMode(t),\"turntable\"===t){var a=i();u._active.lookAt(a,r,n,e),u._active.lookAt(a+500,r,n,[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 h},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(n)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",function(t){return t.preventDefault(),!1});var m=0,v=0,g={shift:!1,control:!1,alt:!1,meta:!1};return p.mouseListener=o(t,r),t.addEventListener(\"touchstart\",function(e){var n=l(e.changedTouches[0],t);r(0,n[0],n[1],g),r(1,n[0],n[1],g)}),t.addEventListener(\"touchmove\",function(e){var n=l(e.changedTouches[0],t);r(1,n[0],n[1],g)}),t.addEventListener(\"touchend\",function(){r(0,m,v,g)}),p.wheelListener=s(t,function(t,e){if(!1!==p.keyBindingMode){var r=p.flipX?1:-1,n=p.flipY?1:-1,a=i();if(Math.abs(t)>Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*p.rotateSpeed/window.innerWidth);else{var o=-p.zoomSpeed*n*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,h*(Math.exp(o)-1))}}},!0),p}e.exports=n;var i=t(\"right-now\"),a=t(\"3d-view\"),o=t(\"mouse-change\"),s=t(\"mouse-wheel\"),l=t(\"mouse-event-offset\")},{\"3d-view\":37,\"mouse-change\":452,\"mouse-event-offset\":453,\"mouse-wheel\":455,\"right-now\":502}],811:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../components/fx/layout_attributes\"),a=t(\"./scene\"),o=t(\"../plots\"),s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=o.getSubplotIds(e,\"gl3d\"),i=0;i<n.length;i++){var l=n[i],u=o.getSubplotData(r,\"gl3d\",l),c=e[l],h=c._scene;h||(h=new a({id:l,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),c._scene=h),h.cameraInitial||(h.cameraInitial=s.extendDeep({},c.camera)),h.plot(u,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=o.getSubplotIds(n,\"gl3d\"),a=0;a<i.length;a++){var s=i[a];!e[s]&&n[s]._scene&&(n[s]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+s).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=o.getSubplotIds(e,\"gl3d\"),n=e._size,i=0;i<r.length;i++){var a=e[r[i]],s=a.domain,u=a._scene,c=u.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*s.x[0],y:n.t+n.h*(1-s.y[1]),width:n.w*(s.x[1]-s.x[0]),height:n.h*(s.y[1]-s.y[0]),preserveAspectRatio:\"none\"}),u.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=o.getSubplotIds(t,\"gl3d\"),r=0;r<e.length;r++){t[e[r]]._scene.updateFx(t.dragmode,t.hovermode)}}},{\"../../components/fx/layout_attributes\":646,\"../../constants/xmlns_namespaces\":709,\"../../lib\":728,\"../../plot_api/edit_types\":756,\"../plots\":831,\"./layout/attributes\":812,\"./layout/defaults\":816,\"./layout/layout_attributes\":817,\"./scene\":821}],812:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],813:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),i=t(\"../../cartesian/layout_attributes\"),a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:i.title,titlefont:i.titlefont,type:i.type,autorange:i.autorange,rangemode:i.rangemode,range:i.range,tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,separatethousands:i.separatethousands,tickformat:i.tickformat,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth},\"plot\",\"from-root\")},{\"../../../components/color\":604,\"../../../lib/extend\":717,\"../../../plot_api/edit_types\":756,\"../../cartesian/layout_attributes\":783}],814:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../../lib\"),a=t(\"./axis_attributes\"),o=t(\"../../cartesian/type_defaults\"),s=t(\"../../cartesian/axis_defaults\"),l=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){function u(t,e){return i.coerce(c,h,a,t,e)}for(var c,h,f=0;f<l.length;f++){var 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a=t(\"../../../lib/html2unicode\"),o=t(\"../../../lib/str2rgbarray\"),s=[\"xaxis\",\"yaxis\",\"zaxis\"];n.prototype.merge=function(t){for(var e=this,r=0;r<3;++r){var n=t[s[r]];n.visible?(e.labels[r]=a(n.title),\"titlefont\"in n&&(n.titlefont.color&&(e.labelColor[r]=o(n.titlefont.color)),n.titlefont.family&&(e.labelFont[r]=n.titlefont.family),n.titlefont.size&&(e.labelSize[r]=n.titlefont.size)),\"showline\"in n&&(e.lineEnable[r]=n.showline),\"linecolor\"in n&&(e.lineColor[r]=o(n.linecolor)),\"linewidth\"in n&&(e.lineWidth[r]=n.linewidth),\"showgrid\"in n&&(e.gridEnable[r]=n.showgrid),\"gridcolor\"in n&&(e.gridColor[r]=o(n.gridcolor)),\"gridwidth\"in n&&(e.gridWidth[r]=n.gridwidth),\"log\"===n.type?e.zeroEnable[r]=!1:\"zeroline\"in n&&(e.zeroEnable[r]=n.zeroline),\"zerolinecolor\"in n&&(e.zeroLineColor[r]=o(n.zerolinecolor)),\"zerolinewidth\"in n&&(e.zeroLineWidth[r]=n.zerolinewidth),\"ticks\"in n&&n.ticks?e.lineTickEnable[r]=!0:e.lineTickEnable[r]=!1,\"ticklen\"in n&&(e.lineTickLength[r]=e._defaultLineTickLength[r]=n.ticklen),\"tickcolor\"in n&&(e.lineTickColor[r]=o(n.tickcolor)),\"tickwidth\"in n&&(e.lineTickWidth[r]=n.tickwidth),\"tickangle\"in n&&(e.tickAngle[r]=\"auto\"===n.tickangle?0:Math.PI*-n.tickangle/180),\"showticklabels\"in n&&(e.tickEnable[r]=n.showticklabels),\"tickfont\"in n&&(n.tickfont.color&&(e.tickColor[r]=o(n.tickfont.color)),n.tickfont.family&&(e.tickFont[r]=n.tickfont.family),n.tickfont.size&&(e.tickSize[r]=n.tickfont.size)),\"mirror\"in n?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(n.mirror)?(e.lineTickMirror[r]=!0,e.lineMirror[r]=!0):!0===n.mirror?(e.lineTickMirror[r]=!1,e.lineMirror[r]=!0):(e.lineTickMirror[r]=!1,e.lineMirror[r]=!1):e.lineMirror[r]=!1,\"showbackground\"in n&&!1!==n.showbackground?(e.backgroundEnable[r]=!0,e.backgroundColor[r]=o(n.backgroundcolor)):e.backgroundEnable[r]=!1):(e.tickEnable[r]=!1,e.labelEnable[r]=!1,e.lineEnable[r]=!1,e.lineTickEnable[r]=!1,e.gridEnable[r]=!1,e.zeroEnable[r]=!1,e.backgroundEnable[r]=!1)}},e.exports=i},{\"../../../lib/html2unicode\":726,\"../../../lib/str2rgbarray\":749}],816:[function(t,e,r){\"use strict\";function n(t,e,r,n){for(var i=r(\"bgcolor\"),s=a.combine(i,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],c=0;c<u.length;c++)r(\"camera.\"+u[c]+\".x\"),r(\"camera.\"+u[c]+\".y\"),r(\"camera.\"+u[c]+\".z\");var h=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),f=h?\"manual\":\"auto\",d=r(\"aspectmode\",f);h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode),l(t,e,{font:n.font,scene:n.id,data:n.fullData,bgColor:s,calendar:n.calendar}),o.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n),r(\"dragmode\",n.getDfltFromLayout(\"dragmode\")),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}var i=t(\"../../../lib\"),a=t(\"../../../components/color\"),o=t(\"../../../registry\"),s=t(\"../../subplot_defaults\"),l=t(\"./axis_defaults\"),u=t(\"./layout_attributes\");e.exports=function(t,e,r){function a(e){if(!o){return i.validate(t[e],u[e])?t[e]:void 0}}var o=e._basePlotModules.length>1;s(t,e,r,{type:\"gl3d\",attributes:u,handleDefaults:n,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:a,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":604,\"../../../lib\":728,\"../../../registry\":846,\"../../subplot_defaults\":838,\"./axis_defaults\":814,\"./layout_attributes\":817}],817:[function(t,e,r){\"use strict\";function n(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}var i=t(\"./axis_attributes\"),a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(n(0,0,1),{}),center:a(n(0,0,0),{}),eye:a(n(1.25,1.25,1.25),{}),editType:\"camera\"},domain:{x:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1,editType:\"plot\"},{valType:\"number\",min:0,max:1,editType:\"plot\"}],dflt:[0,1],editType:\"plot\"},y:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1,editType:\"plot\"},{valType:\"number\",min:0,max:1,editType:\"plot\"}],dflt:[0,1],editType:\"plot\"},editType:\"plot\"},aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:i,yaxis:i,zaxis:i,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],dflt:\"turntable\",editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":728,\"../../../lib/extend\":717,\"./axis_attributes\":813}],818:[function(t,e,r){\"use strict\";function n(){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]}function i(t){var e=new n;return e.merge(t),e}var a=t(\"../../../lib/str2rgbarray\"),o=[\"xaxis\",\"yaxis\",\"zaxis\"];n.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[o[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=a(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=i},{\"../../../lib/str2rgbarray\":749}],819:[function(t,e,r){\"use strict\";function n(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}function i(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,i=t.fullSceneLayout,c=[[],[],[]],h=0;h<3;++h){var f=i[l[h]];if(f._length=(r[h].hi-r[h].lo)*r[h].pixelsPerDataUnit/t.dataScale[h],Math.abs(f._length)===1/0)c[h]=[];else{f.range[0]=r[h].lo/t.dataScale[h],f.range[1]=r[h].hi/t.dataScale[h],f._m=1/(t.dataScale[h]*r[h].pixelsPerDataUnit),f.range[0]===f.range[1]&&(f.range[0]-=1,f.range[1]+=1);var d=f.tickmode;if(\"auto\"===f.tickmode){f.tickmode=\"linear\";var p=f.nticks||o.constrain(f._length/40,4,9);a.autoTicks(f,Math.abs(f.range[1]-f.range[0])/p)}for(var m=a.calcTicks(f),v=0;v<m.length;++v)m[v].x=m[v].x*t.dataScale[h],m[v].text=s(m[v].text);c[h]=m,f.tickmode=d}}e.ticks=c;for(var h=0;h<3;++h){u[h]=.5*(t.glplot.bounds[0][h]+t.glplot.bounds[1][h]);for(var v=0;v<2;++v)e.bounds[v][h]=t.glplot.bounds[v][h]}t.contourLevels=n(c)}e.exports=i;var a=t(\"../../cartesian/axes\"),o=t(\"../../../lib\"),s=t(\"../../../lib/html2unicode\"),l=[\"xaxis\",\"yaxis\",\"zaxis\"],u=[0,0,0]},{\"../../../lib\":728,\"../../../lib/html2unicode\":726,\"../../cartesian/axes\":772}],820:[function(t,e,r){\"use strict\";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}function i(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}e.exports=i},{}],821:[function(t,e,r){\"use strict\";function n(t){function e(e,r){var n=t.fullSceneLayout[e];return v.tickText(n,n.d2l(r),\"hover\").text}var r,n=t.svgContainer,i=t.container.getBoundingClientRect(),a=i.width,o=i.height;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+a+\" \"+o),n.setAttributeNS(null,\"width\",a),n.setAttributeNS(null,\"height\",o),k(t),t.glplot.axes.update(t.axesOptions);for(var s=Object.keys(t.traces),l=null,u=t.glplot.selection,c=0;c<s.length;++c)r=t.traces[s[c]],\"skip\"!==r.data.hoverinfo&&r.handlePick(u)&&(l=r),r.setContourLevels&&r.setContourLevels();var h;if(null!==l){var f=_(t.glplot.cameraParams,u.dataCoordinate);r=l.data;var d=u.index,p=g.castHoverinfo(r,t.fullLayout,d),m=e(\"xaxis\",u.traceCoordinate[0]),y=e(\"yaxis\",u.traceCoordinate[1]),b=e(\"zaxis\",u.traceCoordinate[2]);if(\"all\"!==p){var x=p.split(\"+\");-1===x.indexOf(\"x\")&&(m=void 0),-1===x.indexOf(\"y\")&&(y=void 0),-1===x.indexOf(\"z\")&&(b=void 0),-1===x.indexOf(\"text\")&&(u.textLabel=void 0),-1===x.indexOf(\"name\")&&(l.name=void 0)}t.fullSceneLayout.hovermode&&g.loneHover({x:(.5+.5*f[0]/f[3])*a,y:(.5-.5*f[1]/f[3])*o,xLabel:m,yLabel:y,zLabel:b,text:u.textLabel,name:l.name,color:g.castHoverOption(r,d,\"bgcolor\")||l.color,borderColor:g.castHoverOption(r,d,\"bordercolor\"),fontFamily:g.castHoverOption(r,d,\"font.family\"),fontSize:g.castHoverOption(r,d,\"font.size\"),fontColor:g.castHoverOption(r,d,\"font.color\")},{container:n,gd:t.graphDiv});var w={x:u.traceCoordinate[0],y:u.traceCoordinate[1],z:u.traceCoordinate[2],data:r._input,fullData:r,curveNumber:r.index,pointNumber:d};g.appendArrayPointValue(w,r,d);var M={points:[w]};u.buttons&&u.distance<5?t.graphDiv.emit(\"plotly_click\",M):t.graphDiv.emit(\"plotly_hover\",M),h=M}else g.loneUnhover(n),t.graphDiv.emit(\"plotly_unhover\",h);t.drawAnnotations(t)}function i(t,e,r,i){var a={canvas:r,gl:i,container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1};if(t.staticMode){if(!(h||(c=document.createElement(\"canvas\"),h=d({canvas:c,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");a.pixelRatio=t.pixelRatio,a.gl=h,a.canvas=c}try{t.glplot=f(a)}catch(e){b(t)}var o=function(t){if(!1!==t.fullSceneLayout.dragmode){var e={};e[t.id+\".camera\"]=u(t.camera),t.saveCamera(t.graphDiv.layout),t.graphDiv.emit(\"plotly_relayout\",e)}};if(t.glplot.canvas.addEventListener(\"mouseup\",o.bind(null,t)),t.glplot.canvas.addEventListener(\"wheel\",o.bind(null,t)),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",function(t){m.warn(\"Lost WebGL context.\"),t.preventDefault()}),!t.camera){var s=t.fullSceneLayout.camera;t.camera=x(t.container,{center:[s.center.x,s.center.y,s.center.z],\n",
       "eye:[s.eye.x,s.eye.y,s.eye.z],up:[s.up.x,s.up.y,s.up.z],zoomMin:.1,zoomMax:100,mode:\"orbit\"})}return t.glplot.camera=t.camera,t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=n.bind(null,t),t.traces={},!0}function a(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var a=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\",r.appendChild(a),this.svgContainer=a,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=w(e[this.id]),this.spikeOptions=M(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=p.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=p.getComponentMethod(\"annotations3d\",\"draw\"),i(this,e)}function o(t,e,r,n,i){for(var a,o=0;o<e.length;++o)if(Array.isArray(e[o]))for(var s=0;s<e[o].length;++s)a=t.d2l(e[o][s],0,i),!isNaN(a)&&isFinite(a)&&(n[0][r]=Math.min(n[0][r],a),n[1][r]=Math.max(n[1][r],a));else a=t.d2l(e[o],0,i),!isNaN(a)&&isFinite(a)&&(n[0][r]=Math.min(n[0][r],a),n[1][r]=Math.max(n[1][r],a))}function s(t,e,r){var n=t.fullSceneLayout;o(n.xaxis,e.x,0,r,e.xcalendar),o(n.yaxis,e.y,1,r,e.ycalendar),o(n.zaxis,e.z,2,r,e.zcalendar)}function l(t){return[[t.eye.x,t.eye.y,t.eye.z],[t.center.x,t.center.y,t.center.z],[t.up.x,t.up.y,t.up.z]]}function u(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]}}}var c,h,f=t(\"gl-plot3d\"),d=t(\"webgl-context\"),p=t(\"../../registry\"),m=t(\"../../lib\"),v=t(\"../../plots/cartesian/axes\"),g=t(\"../../components/fx\"),y=t(\"../../lib/str2rgbarray\"),b=t(\"../../lib/show_no_webgl_msg\"),x=t(\"./camera\"),_=t(\"./project\"),w=t(\"./layout/convert\"),M=t(\"./layout/spikes\"),k=t(\"./layout/tick_marks\"),A=a.prototype;A.recoverContext=function(){function t(){return r.isContextLost()?void requestAnimationFrame(t):i(e,e.fullLayout,n,r)?void e.plot.apply(e,e.plotArgs):void m.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")}var e=this,r=this.glplot.gl,n=this.glplot.canvas;this.glplot.dispose(),requestAnimationFrame(t)};var T=[\"xaxis\",\"yaxis\",\"zaxis\"];A.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,l,u,c=e[this.id],h=r[this.id];c.bgcolor?this.glplot.clearColor=y(c.bgcolor):this.glplot.clearColor=[0,0,0,0],this.glplot.snapToData=!0,this.fullLayout=e,this.fullSceneLayout=c,this.glplotLayout=c,this.axesOptions.merge(c),this.spikeOptions.merge(c),this.setCamera(c.camera),this.updateFx(c.dragmode,c.hovermode),this.glplot.update({}),this.setConvert(l),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<t.length;++a)n=t[a],!0===n.visible&&s(this,n,f);var d=[1,1,1];for(o=0;o<3;++o)f[0][o]>f[1][o]?d[o]=1:f[1][o]===f[0][o]?d[o]=1:d[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=d,this.convertAnnotations(this),a=0;a<t.length;++a)n=t[a],!0===n.visible&&(i=this.traces[n.uid],i?i.update(n):(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<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&!0===t[o].visible)continue t;i=this.traces[p[a]],i.dispose(),delete this.traces[p[a]]}this.glplot.objects.sort(function(t,e){return t._trace.data.index-e._trace.data.index});var m=[[0,0,0],[0,0,0]],v=[],g={};for(a=0;a<3;++a){if(l=c[T[a]],u=l.type,u in g?(g[u].acc*=d[a],g[u].count+=1):g[u]={acc:d[a],count:1},l.autorange){m[0][a]=1/0,m[1][a]=-1/0;var b=this.glplot.objects,x=this.fullSceneLayout.annotations||[],_=l._name.charAt(0);for(o=0;o<b.length;o++){var w=b[o].bounds;m[0][a]=Math.min(m[0][a],w[0][a]/d[a]),m[1][a]=Math.max(m[1][a],w[1][a]/d[a])}for(o=0;o<x.length;o++){var M=x[o];if(M.visible){var k=l.r2l(M[_]);m[0][a]=Math.min(m[0][a],k),m[1][a]=Math.max(m[1][a],k)}}if(\"rangemode\"in l&&\"tozero\"===l.rangemode&&(m[0][a]=Math.min(m[0][a],0),m[1][a]=Math.max(m[1][a],0)),m[0][a]>m[1][a])m[0][a]=-1,m[1][a]=1;else{var A=m[1][a]-m[0][a];m[0][a]-=A/32,m[1][a]+=A/32}}else{var S=l.range;m[0][a]=l.r2l(S[0]),m[1][a]=l.r2l(S[1])}m[0][a]===m[1][a]&&(m[0][a]-=1,m[1][a]+=1),v[a]=m[1][a]-m[0][a],this.glplot.bounds[0][a]=m[0][a]*d[a],this.glplot.bounds[1][a]=m[1][a]*d[a]}var E=[1,1,1];for(a=0;a<3;++a){l=c[T[a]],u=l.type;var L=g[u];E[a]=Math.pow(L.acc,1/L.count)/d[a]}var C;if(\"auto\"===c.aspectmode)C=Math.max.apply(null,E)/Math.min.apply(null,E)<=4?E:[1,1,1];else if(\"cube\"===c.aspectmode)C=[1,1,1];else if(\"data\"===c.aspectmode)C=E;else{if(\"manual\"!==c.aspectmode)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var 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f=h.getContext(\"2d\"),d=f.createImageData(r,n);d.data.set(i),f.putImageData(d,0,0);var p;switch(t){case\"jpeg\":p=h.toDataURL(\"image/jpeg\");break;case\"webp\":p=h.toDataURL(\"image/webp\");break;default:p=h.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(c),p},A.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[T[t]];v.setConvert(e,this.fullLayout),e.setScale=m.noop}},e.exports=a},{\"../../components/fx\":645,\"../../lib\":728,\"../../lib/show_no_webgl_msg\":747,\"../../lib/str2rgbarray\":749,\"../../plots/cartesian/axes\":772,\"../../registry\":846,\"./camera\":810,\"./layout/convert\":815,\"./layout/spikes\":818,\"./layout/tick_marks\":819,\"./project\":820,\"gl-plot3d\":221,\"webgl-context\":563}],822:[function(t,e,r){\"use strict\";var n=t(\"./font_attributes\"),i=t(\"../components/color/attributes\"),a=n({editType:\"calc\"});a.family.dflt='\"Open Sans\", verdana, arial, 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strict\";e.exports={styleUrlPrefix:\"mapbox://styles/mapbox/\",styleUrlSuffix:\"v9\",controlContainerClassName:\"mapboxgl-control-container\",noAccessTokenErrorMsg:[\"Missing Mapbox access token.\",\"Mapbox trace type require a Mapbox access token to be registered.\",\"For example:\",\"  Plotly.plot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });\",\"More info here: https://www.mapbox.com/help/define-access-token/\"].join(\"\\n\"),mapOnErrorMsg:\"Mapbox error.\"}},{}],824:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=t.split(\" \"),i=r[0],a=r[1],o=Array.isArray(e)?n.mean(e):e,s=.5+o/100,l=1.5+o/100,u=[\"\",\"\"],c=[0,0];switch(i){case\"top\":u[0]=\"top\",c[1]=-l;break;case\"bottom\":u[0]=\"bottom\",c[1]=l}switch(a){case\"left\":u[1]=\"right\",c[0]=-s;break;case\"right\":u[1]=\"left\",c[0]=s}var h;return h=u[0]&&u[1]?u.join(\"-\"):u[0]?u[0]:u[1]?u[1]:\"center\",{anchor:h,offset:c}}},{\"../../lib\":728}],825:[function(t,e,r){\"use 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h=s[c],f=o.getSubplotCalcData(r,\"mapbox\",h),d=e[h],p=d._subplot;d.accesstoken=u,p||(p=l({gd:t,container:e._glcontainer.node(),id:h,fullLayout:e,staticPlot:t._context.staticPlot}),e[h]._subplot=p),p.viewInitial||(p.viewInitial={center:a.extendFlat({},d.center),zoom:d.zoom,bearing:d.bearing,pitch:d.pitch}),p.plot(f,e,t._promises)}},r.clean=function(t,e,r,n){for(var i=o.getSubplotIds(n,\"mapbox\"),a=0;a<i.length;a++){var s=i[a];!e[s]&&n[s]._subplot&&n[s]._subplot.destroy()}},r.toSVG=function(t){for(var e=t._fullLayout,r=o.getSubplotIds(e,\"mapbox\"),n=e._size,i=0;i<r.length;i++){var a=e[r[i]],l=a.domain,u=a._subplot,c=u.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:s.svg,\"xlink:href\":c,x:n.l+n.w*l.x[0],y:n.t+n.h*(1-l.y[1]),width:n.w*(l.x[1]-l.x[0]),height:n.h*(l.y[1]-l.y[0]),preserveAspectRatio:\"none\"}),u.destroy()}},r.updateFx=function(t){for(var e=o.getSubplotIds(t,\"mapbox\"),r=0;r<e.length;r++){t[e[r]]._subplot.updateFx(t)}}},{\"../../constants/xmlns_namespaces\":709,\"../../lib\":728,\"../plots\":831,\"./constants\":823,\"./layout_attributes\":827,\"./layout_defaults\":828,\"./mapbox\":829,\"mapbox-gl\":343}],826:[function(t,e,r){\"use strict\";function n(t,e){this.mapbox=t,this.map=t.map,this.uid=t.uid+\"-layer\"+e,this.idSource=this.uid+\"-source\",this.idLayer=this.uid+\"-layer\",this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}function i(t){var e=t.source;return s.isPlainObject(e)||\"string\"==typeof e&&e.length>0}function a(t){var e={},r={};switch(t.type){case\"circle\":s.extendFlat(r,{\"circle-radius\":t.circle.radius,\"circle-color\":t.color,\"circle-opacity\":t.opacity});break;case\"line\":s.extendFlat(r,{\"line-width\":t.line.width,\"line-color\":t.color,\"line-opacity\":t.opacity});break;case\"fill\":s.extendFlat(r,{\"fill-color\":t.color,\"fill-outline-color\":t.fill.outlinecolor,\"fill-opacity\":t.opacity});break;case\"symbol\":var n=t.symbol,i=l(n.textposition,n.iconsize);s.extendFlat(e,{\"icon-image\":n.icon+\"-15\",\"icon-size\":n.iconsize/10,\"text-field\":n.text,\"text-size\":n.textfont.size,\"text-anchor\":i.anchor,\"text-offset\":i.offset}),s.extendFlat(r,{\"icon-color\":t.color,\"text-color\":n.textfont.color,\"text-opacity\":t.opacity})}return{layout:e,paint:r}}function o(t){var e,r=t.sourcetype,n=t.source,i={type:r},a=\"string\"==typeof n;return\"geojson\"===r?e=\"data\":\"vector\"===r&&(e=a?\"url\":\"tiles\"),i[e]=n,i}var s=t(\"../../lib\"),l=t(\"./convert_text_opts\"),u=n.prototype;u.update=function(t){this.visible?this.needsNewSource(t)?(this.updateLayer(t),this.updateSource(t)):this.needsNewLayer(t)&&this.updateLayer(t):(this.updateSource(t),this.updateLayer(t)),this.updateStyle(t),this.visible=i(t)},u.needsNewSource=function(t){return this.sourceType!==t.sourcetype||this.source!==t.source||this.layerType!==t.type},u.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==t.below},u.updateSource=function(t){var e=this.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,i(t)){var r=o(t);e.addSource(this.idSource,r)}},u.updateLayer=function(t){var e=this.map;if(e.getLayer(this.idLayer)&&e.removeLayer(this.idLayer),this.layerType=t.type,i(t)){e.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":t.sourcelayer||\"\",type:t.type},t.below);var r={visibility:\"visible\"};this.mapbox.setOptions(this.idLayer,\"setLayoutProperty\",r)}},u.updateStyle=function(t){var e=a(t);i(t)&&(this.mapbox.setOptions(this.idLayer,\"setLayoutProperty\",e.layout),this.mapbox.setOptions(this.idLayer,\"setPaintProperty\",e.paint))},u.dispose=function(){var t=this.map;t.removeLayer(this.idLayer),t.removeSource(this.idSource)},e.exports=function(t,e,r){var i=new n(t,e);return i.update(r),i}},{\"../../lib\":728,\"./convert_text_opts\":824}],827:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\").defaultLine,a=t(\"../font_attributes\"),o=t(\"../../traces/scatter/attributes\").textposition,s=t(\"../../plot_api/edit_types\").overrideAll,l=a({});l.family.dflt=\"Open Sans Regular, Arial Unicode MS 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a=t(\"../../lib\"),o=t(\"../subplot_defaults\"),s=t(\"./layout_attributes\");e.exports=function(t,e,r){o(t,e,r,{type:\"mapbox\",attributes:s,handleDefaults:n,partition:\"y\"})}},{\"../../lib\":728,\"../subplot_defaults\":838,\"./layout_attributes\":827}],829:[function(t,e,r){\"use strict\";function n(t){this.id=t.id,this.gd=t.gd,this.container=t.container,this.isStatic=t.staticPlot;var e=t.fullLayout;this.uid=e._uid+\"-\"+this.id,this.opts=e[this.id],this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(e),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[]}function i(t){var e=d.style.values,r=d.style.dflt,n={};return u.isPlainObject(t)?(n.id=t.id,n.style=t):\"string\"==typeof t?(n.id=t,n.style=-1!==e.indexOf(t)?a(t):t):(n.id=r,n.style=a(r)),n}function a(t){return f.styleUrlPrefix+t+\"-\"+f.styleUrlSuffix}function o(t){return[t.lon,t.lat]}var 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n=t(\"../../../components/color/attributes\"),i=t(\"./axis_attributes\"),a=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=a({domain:{x:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]},y:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]}},bgcolor:{valType:\"color\",dflt:n.background},sum:{valType:\"number\",dflt:1,min:0},aaxis:i,baxis:i,caxis:i},\"plot\",\"from-root\")},{\"../../../components/color/attributes\":603,\"../../../plot_api/edit_types\":756,\"./axis_attributes\":841}],845:[function(t,e,r){\"use strict\";function n(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e)}function i(t){a.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}var 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w=b.MINZOOM/2+.87,M=\"m-0.87,.5h\"+w+\"v3h-\"+(w+5.2)+\"l\"+(w/2+2.6)+\",-\"+(.87*w+4.5)+\"l2.6,1.5l-\"+w/2+\",\"+.87*w+\"Z\",k=\"m0.87,.5h-\"+w+\"v3h\"+(w+5.2)+\"l-\"+(w/2+2.6)+\",-\"+(.87*w+4.5)+\"l-2.6,1.5l\"+w/2+\",\"+.87*w+\"Z\",A=\"m0,1l\"+w/2+\",\"+.87*w+\"l2.6,-1.5l-\"+(w/2+2.6)+\",-\"+(.87*w+4.5)+\"l-\"+(w/2+2.6)+\",\"+(.87*w+4.5)+\"l2.6,1.5l\"+w/2+\",-\"+.87*w+\"Z\",T=!0;x.initInteractions=function(){function t(t,e,r){var n=F.getBoundingClientRect();w=e-n.left,S=r-n.top,E={a:R.aaxis.range[0],b:R.baxis.range[1],c:R.caxis.range[1]},C=E,L=R.aaxis.range[1]-E.a,I=o(R.graphDiv._fullLayout[R.id].bgcolor).getLuminance(),z=\"M0,\"+R.h+\"L\"+R.w/2+\", 0L\"+R.w+\",\"+R.h+\"Z\",D=!1,P=N.append(\"path\").attr(\"class\",\"zoombox\").attr(\"transform\",\"translate(\"+R.x0+\", \"+R.y0+\")\").style({fill:I>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"d\",z),O=N.append(\"path\").attr(\"class\",\"zoombox-corners\").attr(\"transform\",\"translate(\"+R.x0+\", 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i=n.traces[e];i&&d(r.modules[e]._module.attributes,i)}}function a(t,e){var n=r.componentsRegistry[t].schema;if(n&&n.transforms){var i=n.transforms[e];i&&d(r.transformsRegistry[e].attributes,i)}}function o(t,e){var n=r.componentsRegistry[t].schema;if(n&&n.subplots){var i=r.subplotsRegistry[e],a=i.layoutAttributes,o=\"subplot\"===i.attr?i.name:i.attr;Array.isArray(o)&&(o=o[0]);var s=n.subplots[o];a&&s&&d(a,s)}}function s(t){return\"object\"==typeof t&&(t=t.type),t}var l=t(\"./lib/loggers\"),u=t(\"./lib/noop\"),c=t(\"./lib/push_unique\"),h=t(\"./lib/extend\"),f=h.extendFlat,d=h.extendDeepAll,p=t(\"./plots/attributes\"),m=t(\"./plots/layout_attributes\");r.modules={},r.allCategories={},r.allTypes=[],r.subplotsRegistry={},r.transformsRegistry={},r.componentsRegistry={},r.layoutArrayContainers=[],r.layoutArrayRegexes=[],r.traceLayoutAttributes={},r.register=function(t,e,n,a){if(r.modules[e])return void l.log(\"Type \"+e+\" already registered\");for(var 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v._infolayer.selectAll(\".cb\"+d).remove();\"heatmap\"===f.coloring?(s.zauto&&!1===s.autocontour&&(s._input.zmin=s.zmin=f.start-f.size/2,s._input.zmax=s.zmax=s.zmin+_.length*f.size),y(t,e,[n])):(v._paper.selectAll(\".hm\"+d).remove(),v._infolayer.selectAll(\"g.rangeslider-container\").selectAll(\".hm\"+d).remove()),b(_),x(_);var w=p.c2p(u[0],!0),M=p.c2p(u[u.length-1],!0),k=m.c2p(h[0],!0),A=m.c2p(h[h.length-1],!0),T=[[w,A],[M,A],[M,k],[w,k]],S=r.makeContourGroup(e,n,g);a(S,T,f),o(S,_,T,f),l(S,_,t,n[0],f,T),c(S,e,v._clips,n[0],T)}function i(t,e,r){for(var n=t.size,i=[],a=_(t),o=t.start;o<a;o+=n)if(i.push({level:o,crossings:{},starts:[],edgepaths:[],paths:[],xaxis:e.xaxis,yaxis:e.yaxis,x:r.x,y:r.y,z:r.z,smoothing:r.trace.line.smoothing}),i.length>1e3){d.warn(\"Too many contours, clipping at 1000\",t);break}return i}function a(t,e,r){var n=t.selectAll(\"g.contourbg\").data([0]);n.enter().append(\"g\").classed(\"contourbg\",!0);var 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val(pB, dim1B) + val(pC, dim1C) + val(pD, dim1D));\\n\\n    vec2 dimensionToggle = vec2(x, 1.0 - x);\\n\\n    vec2 scatterToggle = vec2(scatter, 1.0 - scatter);\\n\\n    float y = dot(yy, dimensionToggle);\\n    mat2 xy = mat2(viewBoxSize * yy + dimensionToggle, viewBoxSize * vec2(x, y));\\n\\n    vec2 viewBoxXY = viewBoxPosition + xy * scatterToggle;\\n\\n    float depthOrHide = depth + 2.0 * (1.0 - show);\\n\\n    gl_Position = vec4(\\n        xyProjection * (2.0 * viewBoxXY / resolution - 1.0),\\n        depthOrHide,\\n        1.0\\n    );\\n\\n    // pick coloring\\n    fragColor = vec4(pf.rgb, 1.0);\\n}\\n\":\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 p0, p1, p2, p3,\\n               p4, p5, p6, p7,\\n               p8, p9, pa, pb,\\n               pc, pd, pe;\\n\\nattribute vec4 pf;\\n\\nuniform mat4 dim1A, dim2A, dim1B, dim2B, dim1C, dim2C, dim1D, dim2D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution,\\n             viewBoxPosition,\\n             viewBoxSize;\\n\\nuniform sampler2D palette;\\n\\nuniform vec2 colorClamp;\\n\\nuniform float scatter;\\n\\nvarying vec4 fragColor;\\n\\nvec4 zero = vec4(0, 0, 0, 0);\\nvec4 unit = vec4(1, 1, 1, 1);\\nvec2 xyProjection = vec2(1, 1);\\n\\nmat4 mclamp(mat4 m, mat4 lo, mat4 hi) {\\n    return mat4(clamp(m[0], lo[0], hi[0]),\\n                clamp(m[1], lo[1], hi[1]),\\n                clamp(m[2], lo[2], hi[2]),\\n                clamp(m[3], lo[3], hi[3]));\\n}\\n\\nbool mshow(mat4 p, mat4 lo, mat4 hi) {\\n    return mclamp(p, lo, hi) == p;\\n}\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * unit, unit);\\n}\\n\\nvoid main() {\\n\\n    float x = 0.5 * sign(pf[3]) + 0.5;\\n    float prominence = abs(pf[3]);\\n    float depth = 1.0 - prominence;\\n\\n    mat4 pA = mat4(p0, p1, p2, p3);\\n    mat4 pB = mat4(p4, p5, p6, p7);\\n    mat4 pC = mat4(p8, p9, pa, pb);\\n    mat4 pD = mat4(pc, pd, pe, abs(pf));\\n\\n    float show = float(mshow(pA, loA, hiA) &&\\n                       mshow(pB, loB, hiB) &&\\n                       mshow(pC, loC, hiC) &&\\n                       mshow(pD, loD, hiD));\\n\\n    vec2 yy = show * vec2(val(pA, dim2A) + val(pB, dim2B) + val(pC, dim2C) + val(pD, dim2D),\\n                          val(pA, dim1A) + val(pB, dim1B) + val(pC, dim1C) + val(pD, dim1D));\\n\\n    vec2 dimensionToggle = vec2(x, 1.0 - x);\\n\\n    vec2 scatterToggle = vec2(scatter, 1.0 - scatter);\\n\\n    float y = dot(yy, dimensionToggle);\\n    mat2 xy = mat2(viewBoxSize * yy + dimensionToggle, viewBoxSize * vec2(x, y));\\n\\n    vec2 viewBoxXY = viewBoxPosition + xy * scatterToggle;\\n\\n    float depthOrHide = depth + 2.0 * (1.0 - show);\\n\\n    gl_Position = vec4(\\n        xyProjection * (2.0 * viewBoxXY / resolution - 1.0),\\n        depthOrHide,\\n        1.0\\n    );\\n\\n    // visible coloring\\n    float clampedColorIndex = clamp((prominence - colorClamp[0]) / (colorClamp[1] - colorClamp[0]), 0.0, 1.0);\\n    fragColor = texture2D(palette, vec2((clampedColorIndex * 255.0 + 0.5) / 256.0, 0.5));\\n}\\n\",frag:\"precision lowp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\",primitive:\"lines\",lineWidth:1,attributes:P,uniforms:{resolution:O.prop(\"resolution\"),viewBoxPosition:O.prop(\"viewBoxPosition\"),viewBoxSize:O.prop(\"viewBoxSize\"),dim1A:O.prop(\"dim1A\"),dim2A:O.prop(\"dim2A\"),dim1B:O.prop(\"dim1B\"),dim2B:O.prop(\"dim2B\"),dim1C:O.prop(\"dim1C\"),dim2C:O.prop(\"dim2C\"),dim1D:O.prop(\"dim1D\"),dim2D:O.prop(\"dim2D\"),loA:O.prop(\"loA\"),hiA:O.prop(\"hiA\"),loB:O.prop(\"loB\"),hiB:O.prop(\"hiB\"),loC:O.prop(\"loC\"),hiC:O.prop(\"hiC\"),loD:O.prop(\"loD\"),hiD:O.prop(\"hiD\"),palette:R,colorClamp:O.prop(\"colorClamp\"),scatter:O.prop(\"scatter\")},offset:O.prop(\"offset\"),count:O.prop(\"count\")}),j=[0,1],N=[];return{setColorDomain:y,render:x,readPixel:w,readPixels:M,destroy:O.destroy}}},{\"./constants\":1001,regl:499}],1005:[function(t,e,r){\"use strict\";function n(t){return t.key}function i(t){return[t]}function a(t){return!(\"visible\"in t)||t.visible}function o(t){var e=t.range?t.range[0]:w.min(t.values),r=t.range?t.range[1]:w.max(t.values);return!isNaN(e)&&isFinite(e)||(e=0),!isNaN(r)&&isFinite(r)||(r=0),e===r&&(void 0===e?(e=0,r=1):0===e?(e-=1,r+=1):(e*=.9,r*=1.1)),[e,r]}function s(t,e){var r,n,i,a,o;for(r=0,n=t.range(),i=1/0,a=n[0],o;r<n.length;r++){if((o=Math.abs(n[r]-e))>i)return a;i=o,a=n[r]}return n[n.length-1]}function l(t,e){return function(r,n){if(e){var i=e[n];return null===i||void 0===i?t(r):i}return t(r)}}function u(t,e,r){var n=o(r),i=r.ticktext;return r.tickvals?w.scale.ordinal().domain(r.tickvals.map(l(w.format(r.tickformat),i))).range(r.tickvals.map(function(t){return(t-n[0])/(n[1]-n[0])}).map(function(r){return t-e+r*(e-(t-e))})):w.scale.linear().domain(n).range([t-e,e])}function c(t,e){return w.scale.linear().range([t-e,e])}function h(t){return w.scale.linear().domain(o(t))}function f(t){var e=o(t);return t.tickvals&&w.scale.ordinal().domain(t.tickvals).range(t.tickvals.map(function(t){return(t-e[0])/(e[1]-e[0])}))}function d(t){var e=t.map(function(t){return t[0]}),r=t.map(function(t){return t[1]}),n=r.map(function(t){return w.rgb(t)}),i=function(t){return function(e){return e[t]}},a=\"rgb\".split(\"\").map(function(t){return w.scale.linear().clamp(!0).domain(e).range(n.map(i(t)))});return function(t){return a.map(function(e){return e(t)})}}function p(t){return t[0]}function m(t,e,r){var n=p(e),i=n.trace,o=n.lineColor,s=n.cscale,l=i.line,u=i.domain,c=i.dimensions,f=t.width,m=i.labelfont,v=i.tickfont,g=i.rangefont,y=_.extendDeep({},l,{color:o.map(h({values:o,range:[l.cmin,l.cmax]})),blockLineCount:x.blockLineCount,canvasOverdrag:x.overdrag*x.canvasPixelRatio}),b=Math.floor(f*(u.x[1]-u.x[0])),w=Math.floor(t.height*(u.y[1]-u.y[0])),M=t.margin||{l:80,r:80,t:100,b:80},k=b,A=w;return{key:r,colCount:c.filter(a).length,dimensions:c,tickDistance:x.tickDistance,unitToColor:d(s),lines:y,labelFont:m,tickFont:v,rangeFont:g,translateX:u.x[0]*f,translateY:t.height-u.y[1]*t.height,pad:M,canvasWidth:k*x.canvasPixelRatio+2*y.canvasOverdrag,canvasHeight:A*x.canvasPixelRatio,width:k,height:A,canvasPixelRatio:x.canvasPixelRatio}}function v(t){var e=t.width,r=t.height,n=t.dimensions,i=t.canvasPixelRatio,o=function(r){return e*r/Math.max(1,t.colCount-1)},s=x.verticalPadding/(r*i),l=1-2*s,d=function(t){return s+l*t},p={key:t.key,xScale:o,model:t},m={};return p.dimensions=n.filter(a).map(function(e,n){var a=h(e),s=m[e.label];return m[e.label]=(s||0)+1,{key:e.label+(s?\"__\"+s:\"\"),label:e.label,tickFormat:e.tickformat,tickvals:e.tickvals,ticktext:e.ticktext,ordinal:!!e.tickvals,scatter:x.scatter||e.scatter,xIndex:n,crossfilterDimensionIndex:n,visibleIndex:e._index,height:r,values:e.values,paddedUnitValues:e.values.map(a).map(d),xScale:o,x:o(n),canvasX:o(n)*i,unitScale:c(r,x.verticalPadding),domainScale:u(r,x.verticalPadding,e),ordinalScale:f(e),domainToUnitScale:a,filter:e.constraintrange?e.constraintrange.map(a):[0,1],parent:p,model:t}}),p}function g(t){return x.layers.map(function(e){return{key:e,context:\"contextLineLayer\"===e,pick:\"pickLineLayer\"===e,viewModel:t,model:t.model}})}function y(t){t.classed(\"axisExtentText\",!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"default\").style(\"user-select\",\"none\")}var b=t(\"./lines\"),x=t(\"./constants\"),_=t(\"../../lib\"),w=t(\"d3\"),M=t(\"../../components/drawing\");e.exports=function(t,e,r,a,o){function l(t){var e=t.selectAll(\"defs\").data(i,n);e.enter().append(\"defs\");var r=e.selectAll(\"#filterBarPattern\").data(i,n);r.enter().append(\"pattern\").attr(\"id\",\"filterBarPattern\").attr(\"patternUnits\",\"userSpaceOnUse\"),r.attr(\"x\",-x.bar.width).attr(\"width\",x.bar.capturewidth).attr(\"height\",function(t){return t.model.height});var a=r.selectAll(\"rect\").data(i,n);a.enter().append(\"rect\").attr(\"shape-rendering\",\"crispEdges\"),a.attr(\"height\",function(t){return t.model.height}).attr(\"width\",x.bar.width).attr(\"x\",x.bar.width/2).attr(\"fill\",x.bar.fillcolor).attr(\"fill-opacity\",x.bar.fillopacity).attr(\"stroke\",x.bar.strokecolor).attr(\"stroke-opacity\",x.bar.strokeopacity).attr(\"stroke-width\",x.bar.strokewidth)}function u(t){return t.dimensions.some(function(t){return 0!==t.filter[0]||1!==t.filter[1]})}function c(t,e){for(var r=e.panels||(e.panels=[]),n=t.each(function(t){return t})[e.key].map(function(t){return t.__data__}),i=n.length-1,a=0;a<1;a++)for(var o=0;o<i;o++){var s=r[o+a*i]||(r[o+a*i]={}),l=n[o],u=n[o+1];s.dim1=l,s.dim2=u,s.canvasX=l.canvasX,s.panelSizeX=u.canvasX-l.canvasX,s.panelSizeY=e.model.canvasHeight/1,s.y=a*s.panelSizeY,s.canvasY=e.model.canvasHeight-s.y-s.panelSizeY}}function h(t,e){for(var r=e.panels||(e.panels=[]),n=t.each(function(t){return t})[e.key].map(function(t){return t.__data__}),i=n.length-1,a=i,o=0;o<i;o++)for(var s=0;s<i;s++){var l=r[s+o*i]||(r[s+o*i]={}),u=n[s],c=n[s+1];l.dim1=n[o+1],l.dim2=c,l.canvasX=u.canvasX,l.panelSizeX=c.canvasX-u.canvasX,l.panelSizeY=e.model.canvasHeight/a,l.y=o*l.panelSizeY,l.canvasY=e.model.canvasHeight-l.y-l.panelSizeY}}function f(t,e){return(x.scatter?h:c)(t,e)}function d(t){return t.ordinal?function(){return\"\"}:w.format(t.tickFormat)}function _(){W=!0,T=!0}function k(t){S=!1;var e=t.parent,r=t.brush.extent(),n=e.dimensions,i=n[t.xIndex].filter,a=W&&r[0]===r[1];a&&(t.brush.clear(),w.select(this).select(\"rect.extent\").attr(\"y\",-100));var o=a?[0,1]:r.slice();if(o[0]!==i[0]||o[1]!==i[1]){n[t.xIndex].filter=o,e.focusLineLayer&&e.focusLineLayer.render(e.panels,!0);var s=u(e);!X&&s?(e.contextLineLayer&&e.contextLineLayer.render(e.panels,!0),X=!0):X&&!s&&(e.contextLineLayer&&e.contextLineLayer.render(e.panels,!0,!0),X=!1)}W=!1}function A(t){var e=t.parent,r=t.brush.extent(),n=r[0]===r[1],i=e.dimensions,a=i[t.xIndex].filter;if(!n&&t.ordinal&&(a[0]=s(t.ordinalScale,a[0]),a[1]=s(t.ordinalScale,a[1]),a[0]===a[1]&&(a[0]=Math.max(0,a[0]-.05),a[1]=Math.min(1,a[1]+.05)),w.select(this).transition().duration(150).call(t.brush.extent(a)),e.focusLineLayer.render(e.panels,!0)),e.pickLineLayer&&e.pickLineLayer.render(e.panels,!0),S=!0,T=\"ending\",o&&o.filterChanged){var l=t.domainToUnitScale.invert,u=a.map(l);o.filterChanged(e.key,t.visibleIndex,u)}}var T=!1,S=!0,E=r.filter(function(t){return p(t).trace.visible}).map(m.bind(0,a)).map(v);t.selectAll(\".parcoords-line-layers\").remove();var L=t.selectAll(\".parcoords-line-layers\").data(E,n);L.enter().insert(\"div\",\".\"+e.attr(\"class\").split(\" \").join(\" .\")).classed(\"parcoords-line-layers\",!0).style(\"box-sizing\",\"content-box\"),L.style(\"transform\",function(t){return\"translate(\"+(t.model.translateX-x.overdrag)+\"px,\"+t.model.translateY+\"px)\"});var C=L.selectAll(\".parcoords-lines\").data(g,n),I={renderers:[],dimensions:[]},z=null;C.enter().append(\"canvas\").attr(\"class\",function(t){return\"parcoords-lines \"+(t.context?\"context\":t.pick?\"pick\":\"focus\")}).style(\"box-sizing\",\"content-box\").style(\"float\",\"left\").style(\"clear\",\"both\").style(\"left\",0).style(\"overflow\",\"visible\").style(\"position\",function(t,e){return\"absolute\"}).filter(function(t){return t.pick}).on(\"mousemove\",function(t){if(S&&t.lineLayer&&o&&o.hover){var e=w.event,r=this.width,n=this.height,i=w.mouse(this),a=i[0],s=i[1];if(a<0||s<0||a>=r||s>=n)return;var l=t.lineLayer.readPixel(a,n-1-s),u=0!==l[3],c=u?l[2]+256*(l[1]+256*l[0]):null,h={x:a,y:s,clientX:e.clientX,clientY:e.clientY,dataIndex:t.model.key,curveNumber:c};c!==z&&(u?o.hover(h):o.unhover&&o.unhover(h),z=c)}}),C.style(\"margin\",function(t){var e=t.model.pad;return e.t+\"px \"+e.r+\"px \"+e.b+\"px \"+e.l+\"px\"}).attr(\"width\",function(t){return t.model.canvasWidth}).attr(\"height\",function(t){return t.model.canvasHeight}).style(\"width\",function(t){return t.model.width+2*x.overdrag+\"px\"}).style(\"height\",function(t){return t.model.height+\"px\"}).style(\"opacity\",function(t){return t.pick?.01:1}),e.style(\"background\",\"rgba(255, 255, 255, 0)\");var D=e.selectAll(\".parcoords\").data(E,n);D.exit().remove(),D.enter().append(\"g\").classed(\"parcoords\",!0).attr(\"overflow\",\"visible\").style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"overflow\",\"visible\").style(\"shape-rendering\",\"crispEdges\").style(\"pointer-events\",\"none\").call(l),D.attr(\"width\",function(t){return t.model.width+t.model.pad.l+t.model.pad.r}).attr(\"height\",function(t){return t.model.height+t.model.pad.t+t.model.pad.b\n",
       "}).attr(\"transform\",function(t){return\"translate(\"+t.model.translateX+\",\"+t.model.translateY+\")\"});var P=D.selectAll(\".parcoordsControlView\").data(i,n);P.enter().append(\"g\").classed(\"parcoordsControlView\",!0).style(\"box-sizing\",\"content-box\"),P.attr(\"transform\",function(t){return\"translate(\"+t.model.pad.l+\",\"+t.model.pad.t+\")\"});var O=P.selectAll(\".yAxis\").data(function(t){return t.dimensions},n);O.enter().append(\"g\").classed(\"yAxis\",!0).each(function(t){I.dimensions.push(t)}),P.each(function(t){f(O,t)}),C.each(function(t){t.lineLayer=b(this,t.model.lines,t.model.canvasWidth,t.model.canvasHeight,t.viewModel.dimensions,t.viewModel.panels,t.model.unitToColor,t.context,t.pick,x.scatter),t.viewModel[t.key]=t.lineLayer,I.renderers.push(function(){t.lineLayer.render(t.viewModel.panels,!0)}),t.lineLayer.render(t.viewModel.panels,!t.context)}),O.attr(\"transform\",function(t){return\"translate(\"+t.xScale(t.xIndex)+\", 0)\"}),O.call(w.behavior.drag().origin(function(t){return t}).on(\"drag\",function(t){var e=t.parent;S=!1,T||(t.x=Math.max(-x.overdrag,Math.min(t.model.width+x.overdrag,w.event.x)),t.canvasX=t.x*t.model.canvasPixelRatio,O.sort(function(t,e){return t.x-e.x}).each(function(e,r){e.xIndex=r,e.x=t===e?e.x:e.xScale(e.xIndex),e.canvasX=e.x*e.model.canvasPixelRatio}),f(O,e),O.filter(function(e){return 0!==Math.abs(t.xIndex-e.xIndex)}).attr(\"transform\",function(t){return\"translate(\"+t.xScale(t.xIndex)+\", 0)\"}),w.select(this).attr(\"transform\",\"translate(\"+t.x+\", 0)\"),O.each(function(r,n,i){i===t.parent.key&&(e.dimensions[n]=r)}),e.contextLineLayer&&e.contextLineLayer.render(e.panels,!1,!u(e)),e.focusLineLayer.render&&e.focusLineLayer.render(e.panels))}).on(\"dragend\",function(t){var e=t.parent;if(T)return void(\"ending\"===T&&(T=!1));t.x=t.xScale(t.xIndex),t.canvasX=t.x*t.model.canvasPixelRatio,f(O,e),w.select(this).attr(\"transform\",function(t){return\"translate(\"+t.x+\", 0)\"}),e.contextLineLayer&&e.contextLineLayer.render(e.panels,!1,!u(e)),e.focusLineLayer&&e.focusLineLayer.render(e.panels),e.pickLineLayer&&e.pickLineLayer.render(e.panels,!0),S=!0,o&&o.axesMoved&&o.axesMoved(e.key,e.dimensions.map(function(t){return t.crossfilterDimensionIndex}))})),O.exit().remove();var R=O.selectAll(\".axisOverlays\").data(i,n);R.enter().append(\"g\").classed(\"axisOverlays\",!0),R.selectAll(\".axis\").remove();var F=R.selectAll(\".axis\").data(i,n);F.enter().append(\"g\").classed(\"axis\",!0),F.each(function(t){var e=t.model.height/t.model.tickDistance,r=t.domainScale,n=r.domain();w.select(this).call(w.svg.axis().orient(\"left\").tickSize(4).outerTickSize(2).ticks(e,t.tickFormat).tickValues(t.ordinal?n:null).tickFormat(t.ordinal?function(t){return t}:null).scale(r)),M.font(F.selectAll(\"text\"),t.model.tickFont)}),F.selectAll(\".domain, 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U=B.selectAll(\".axisExtentTop\").data(i,n);U.enter().append(\"g\").classed(\"axisExtentTop\",!0),U.attr(\"transform\",\"translate(0,\"+-x.axisExtentOffset+\")\");var V=U.selectAll(\".axisExtentTopText\").data(i,n);V.enter().append(\"text\").classed(\"axisExtentTopText\",!0).attr(\"alignment-baseline\",\"after-edge\").call(y),V.text(function(t){return d(t)(t.domainScale.domain().slice(-1)[0])}).each(function(t){M.font(V,t.model.rangeFont)});var H=B.selectAll(\".axisExtentBottom\").data(i,n);H.enter().append(\"g\").classed(\"axisExtentBottom\",!0),H.attr(\"transform\",function(t){return\"translate(0,\"+(t.model.height+x.axisExtentOffset)+\")\"});var q=H.selectAll(\".axisExtentBottomText\").data(i,n);q.enter().append(\"text\").classed(\"axisExtentBottomText\",!0).attr(\"alignment-baseline\",\"before-edge\").call(y),q.text(function(t){return d(t)(t.domainScale.domain()[0])}).each(function(t){M.font(q,t.model.rangeFont)});var 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n=t(\"../scattergl/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"}}},{\"../scattergl/attributes\":1077}],1019:[function(t,e,r){\"use strict\";function n(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=a(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}function i(t,e){var r=new n(t,e.uid);return r.update(e),r}var a=t(\"gl-pointcloud2d\"),o=t(\"../../lib/str2rgbarray\"),s=t(\"../scatter/get_trace_color\"),l=[\"xaxis\",\"yaxis\"],u=n.prototype;u.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},u.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=s(t,{})},u.updateFast=function(t){var e,r,n,i,a,s,l=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,c=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,f=t.indices,d=this.bounds;if(c){if(n=c,e=c.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(s=0;s<e;s++)i=n[2*s],a=n[2*s+1],i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),a<d[1]&&(d[1]=a),a>d[3]&&(d[3]=a);if(f)r=f;else for(r=new Int32Array(e),s=0;s<e;s++)r[s]=s}else for(e=l.length,n=new Float32Array(2*e),r=new 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r,n,i,a=e||.5,o=0;o<2;o++)r=this.scene[l[o]],n=r._min,n||(n=[]),n.push({val:t[o],pad:a}),i=r._max,i||(i=[]),i.push({val:t[o+2],pad:a})},u.dispose=function(){this.pointcloud.dispose()},e.exports=i},{\"../../lib/str2rgbarray\":749,\"../scatter/get_trace_color\":1040,\"gl-pointcloud2d\":230}],1020:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\");e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a(\"text\"),a(\"marker.color\",r),a(\"marker.opacity\"),a(\"marker.blend\"),a(\"marker.sizemin\"),a(\"marker.sizemax\"),a(\"marker.border.color\",r),a(\"marker.border.arearatio\")}},{\"../../lib\":728,\"./attributes\":1018}],1021:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.calc=t(\"../scatter3d/calc\"),n.plot=t(\"./convert\"),n.moduleType=\"trace\",n.name=\"pointcloud\",n.basePlotModule=t(\"../../plots/gl2d\"),n.categories=[\"gl2d\",\"showLegend\"],n.meta={},e.exports=n},{\"../../plots/gl2d\":808,\"../scatter3d/calc\":1056,\"./attributes\":1018,\"./convert\":1019,\"./defaults\":1020}],1022:[function(t,e,r){\"use strict\";var n=t(\"../../plots/font_attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/color/attributes\"),o=t(\"../../components/fx/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;e.exports=l({hoverinfo:s({},i.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hoverlabel:o.hoverlabel,domain:{x:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]},y:{valType:\"info_array\",items:[{valType:\"number\",min:0,max:1},{valType:\"number\",min:0,max:1}],dflt:[0,1]}},orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\"},valueformat:{valType:\"string\",dflt:\".3s\"},valuesuffix:{valType:\"string\",dflt:\"\"},arrangement:{valType:\"enumerated\",values:[\"snap\",\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"snap\"},textfont:n({}),node:{label:{valType:\"data_array\",dflt:[]},color:{valType:\"color\",arrayOk:!0},line:{color:{valType:\"color\",dflt:a.defaultLine,arrayOk:!0},width:{valType:\"number\",min:0,dflt:.5,arrayOk:!0}},pad:{valType:\"number\",arrayOk:!1,min:0,dflt:20},thickness:{valType:\"number\",arrayOk:!1,min:1,dflt:20}},link:{label:{valType:\"data_array\",dflt:[]},color:{valType:\"color\",arrayOk:!0},line:{color:{valType:\"color\",dflt:a.defaultLine,arrayOk:!0},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0}},source:{valType:\"data_array\",dflt:[]},target:{valType:\"data_array\",dflt:[]},value:{valType:\"data_array\",dflt:[]}}},\"calc\",\"nested\")},{\"../../components/color/attributes\":603,\"../../components/fx/attributes\":637,\"../../lib/extend\":717,\"../../plot_api/edit_types\":756,\"../../plots/attributes\":770,\"../../plots/font_attributes\":796}],1023:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../plots/plots\"),a=t(\"./plot\"),o=t(\"../../components/fx/layout_attributes\");r.name=\"sankey\",r.attr=\"type\",r.baseLayoutAttrOverrides=n({hoverlabel:o.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){var e=i.getSubplotCalcData(t.calcdata,\"sankey\",\"sankey\");e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"sankey\"),a=e._has&&e._has(\"sankey\");i&&!a&&n._paperdiv.selectAll(\".sankey\").remove()}},{\"../../components/fx/layout_attributes\":646,\"../../plot_api/edit_types\":756,\"../../plots/plots\":831,\"./plot\":1028}],1024:[function(t,e,r){\"use strict\";function n(t,e,r){for(var n=t.map(function(){return[]}),a=0;a<Math.min(e.length,r.length);a++){if(e[a]===r[a])return!0;n[e[a]].push(r[a])}return i(n).components.some(function(t){return t.length>1})}var i=t(\"strongly-connected-components\"),a=t(\"../../lib\");e.exports=function(t,e){return n(e.node.label,e.link.source,e.link.target)&&(a.error(\"Circularity is present in the Sankey data. Removing all nodes and links.\"),e.link.label=[],e.link.source=[],e.link.target=[],e.link.value=[],e.link.color=[],e.node.label=[],e.node.color=[]),[{link:e.link,node:e.node}]}},{\"../../lib\":728,\"strongly-connected-components\":528}],1025:[function(t,e,r){\"use strict\";e.exports={nodeTextOffsetHorizontal:4,nodeTextOffsetVertical:3,nodePadAcross:10,sankeyIterations:50,forceIterations:5,forceTicksPerFrame:10,duration:500,ease:\"cubic-in-out\"}},{}],1026:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\"),a=t(\"../../components/color/attributes\").defaults,o=t(\"../../components/color\"),s=t(\"tinycolor2\");e.exports=function(t,e,r,l){function u(r,a){return n.coerce(t,e,i,r,a)}u(\"node.label\"),u(\"node.pad\"),u(\"node.thickness\"),u(\"node.line.color\"),u(\"node.line.width\");var c=function(t){return a[t%a.length]};u(\"node.color\",e.node.label.map(function(t,e){return o.addOpacity(c(e),.8)})),u(\"link.label\"),u(\"link.source\"),u(\"link.target\"),u(\"link.value\"),u(\"link.line.color\"),u(\"link.line.width\"),u(\"link.color\",e.link.value.map(function(){return s(l.paper_bgcolor).getLuminance()<.333?\"rgba(255, 255, 255, 0.6)\":\"rgba(0, 0, 0, 0.2)\"})),u(\"domain.x\"),u(\"domain.y\"),u(\"orientation\"),u(\"valueformat\"),u(\"valuesuffix\"),u(\"arrangement\"),n.coerceFont(u,\"textfont\",n.extendFlat({},l.font));var h=function(t,r){return-1===e.link.source.indexOf(r)&&-1===e.link.target.indexOf(r)};e.node.label.some(h)&&n.warn(\"Some of the nodes are neither sources nor targets, they will not be displayed.\")}},{\"../../components/color\":604,\"../../components/color/attributes\":603,\"../../lib\":728,\"./attributes\":1022,tinycolor2:534}],1027:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.calc=t(\"./calc\"),n.plot=t(\"./plot\"),n.moduleType=\"trace\",n.name=\"sankey\",n.basePlotModule=t(\"./base_plot\"),n.categories=[\"noOpacity\"],n.meta={},e.exports=n},{\"./attributes\":1022,\"./base_plot\":1023,\"./calc\":1024,\"./defaults\":1026,\"./plot\":1028}],1028:[function(t,e,r){\"use strict\";function n(t){return\"\"!==t}function i(t,e){return t.filter(function(t){return t.key===e.traceId})}function a(t,e){p.select(t).select(\"path\").style(\"fill-opacity\",e),p.select(t).select(\"rect\").style(\"fill-opacity\",e)}function o(t){p.select(t).select(\"text.name\").style(\"fill\",\"black\")}function s(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function l(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function u(t,e,r){\n",
       "e&&r&&i(r,e).selectAll(\".sankeyLink\").filter(s(e)).call(h.bind(0,e,r,!1))}function c(t,e,r){e&&r&&i(r,e).selectAll(\".sankeyLink\").filter(s(e)).call(f.bind(0,e,r,!1))}function h(t,e,r,n){var a=n.datum().link.label;n.style(\"fill-opacity\",.4),a&&i(e,t).selectAll(\".sankeyLink\").filter(function(t){return t.link.label===a}).style(\"fill-opacity\",.4),r&&i(e,t).selectAll(\".sankeyNode\").filter(l(t)).call(u)}function f(t,e,r,n){var a=n.datum().link.label;n.style(\"fill-opacity\",function(t){return t.tinyColorAlpha}),a&&i(e,t).selectAll(\".sankeyLink\").filter(function(t){return t.link.label===a}).style(\"fill-opacity\",function(t){return t.tinyColorAlpha}),r&&i(e,t).selectAll(\".sankeyNode\").filter(l(t)).call(c)}function d(t,e){var r=t.hoverlabel||{},n=y.nestedProperty(r,e).get();return!Array.isArray(n)&&n}var p=t(\"d3\"),m=t(\"./render\"),v=t(\"../../components/fx\"),g=t(\"../../components/color\"),y=t(\"../../lib\");e.exports=function(t,e){var r=t._fullLayout,i=r._paper,s=r._size,l=function(e,r){var n=r.link;n.originalEvent=p.event,t._hoverdata=[n],v.click(t,{target:!0})},y=function(e,r,n){var i=r.link;i.originalEvent=p.event,p.select(e).call(h.bind(0,r,n,!0)),v.hover(t,i,\"sankey\")},b=function(e,i){var s=i.link.trace,l=t._fullLayout._paperdiv.node().getBoundingClientRect(),u=e.getBoundingClientRect(),c=u.left+u.width/2,h=u.top+u.height/2,f=v.loneHover({x:c-l.left,y:h-l.top,name:p.format(i.valueFormat)(i.link.value)+i.valueSuffix,text:[i.link.label||\"\",[\"Source:\",i.link.source.label].join(\" \"),[\"Target:\",i.link.target.label].join(\" \")].filter(n).join(\"<br>\"),color:d(s,\"bgcolor\")||g.addOpacity(i.tinyColorHue,1),borderColor:d(s,\"bordercolor\"),fontFamily:d(s,\"font.family\"),fontSize:d(s,\"font.size\"),fontColor:d(s,\"font.color\"),idealAlign:p.event.x<c?\"right\":\"left\"},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});a(f,.65),o(f)},x=function(e,n,i){p.select(e).call(f.bind(0,n,i,!0)),t.emit(\"plotly_unhover\",{event:p.event,points:[n.link]}),v.loneUnhover(r._hoverlayer.node())},_=function(e,r,n){var i=r.node;i.originalEvent=p.event,t._hoverdata=[i],p.select(e).call(c,r,n),v.click(t,{target:!0})},w=function(e,r,n){var i=r.node;i.originalEvent=p.event,p.select(e).call(u,r,n),v.hover(t,i,\"sankey\")},M=function(e,i){var s=i.node.trace,l=p.select(e).select(\".nodeRect\"),u=t._fullLayout._paperdiv.node().getBoundingClientRect(),c=l.node().getBoundingClientRect(),h=c.left-2-u.left,f=c.right+2-u.left,m=c.top+c.height/4-u.top,g=v.loneHover({x0:h,x1:f,y:m,name:p.format(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,[\"Incoming flow count:\",i.node.targetLinks.length].join(\" \"),[\"Outgoing flow count:\",i.node.sourceLinks.length].join(\" 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u(M),{key:r,trace:i,guid:Math.floor(1e12*(1+Math.random())),horizontal:h,width:_,height:w,nodePad:f,nodeLineColor:p,nodeLineWidth:m,linkLineColor:v,linkLineWidth:g,valueFormat:y,valueSuffix:b,textFont:x,translateX:o.x[0]*_+t.margin.l,translateY:t.height-o.y[1]*t.height+t.margin.t,dragParallel:h?w:_,dragPerpendicular:h?_:w,nodes:M,links:k,arrangement:c,sankey:A,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function f(t,e,r){var n=P(r.color),i=r.source.label+\"|\"+r.target.label,a=t[i];t[i]=(a||0)+1;var o=i+\"__\"+t[i];return r.trace=e.trace,r.curveNumber=e.trace.index,{key:o,traceId:e.key,link:r,tinyColorHue:O.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkLineColor:e.linkLineColor,linkLineWidth:e.linkLineWidth,valueFormat:e.valueFormat,valueSuffix:e.valueSuffix,sankey:e.sankey,interactionState:e.interactionState}}function d(t,e,r){var n=P(r.color),i=z.nodePadAcross,a=e.nodePad/2,o=r.dx,s=Math.max(.5,r.dy),l=r.label,u=t[l];t[l]=(u||0)+1;var c=l+\"__\"+t[l];return 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a(t).trace.visible}).map(h.bind(null,r)),n);l.exit().remove(),l.enter().append(\"g\").classed(\"sankey\",!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",\"auto\").style(\"box-sizing\",\"content-box\").attr(\"transform\",x),l.transition().ease(z.ease).duration(z.duration).attr(\"transform\",x);var u=l.selectAll(\".sankeyLinks\").data(i,n);u.enter().append(\"g\").classed(\"sankeyLinks\",!0).style(\"fill\",\"none\");var c=u.selectAll(\".sankeyLink\").data(function(t){var e={};return t.sankey.links().filter(function(t){return t.value}).map(f.bind(null,e,t))},n);c.enter().append(\"path\").classed(\"sankeyLink\",!0).attr(\"d\",m).call(S,l,s.linkEvents),c.style(\"stroke\",function(t){return b(t)?O.tinyRGB(P(t.linkLineColor)):t.tinyColorHue}).style(\"stroke-opacity\",function(t){return 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n=t(\"../../components/colorscale/color_attributes\"),i=t(\"../../components/errorbars/attributes\"),a=t(\"../../components/colorbar/attributes\"),o=t(\"../../plots/font_attributes\"),s=t(\"../../components/drawing/attributes\").dash,l=t(\"../../components/drawing\"),u=(t(\"./constants\"),t(\"../../lib/extend\").extendFlat);e.exports={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},x0:{valType:\"any\",dflt:0,editType:\"calc+clearAxisTypes\"},dx:{valType:\"number\",dflt:1,editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y0:{valType:\"any\",dflt:0,editType:\"calc+clearAxisTypes\"},dy:{valType:\"number\",dflt:1,editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\",\"text\"],extras:[\"none\"],editType:\"calc\"},hoveron:{valType:\"flaglist\",flags:[\"points\",\"fills\"],editType:\"style\"},line:{color:{valType:\"color\",editType:\"style\"},width:{valType:\"number\",min:0,dflt:2,editType:\"style\"},shape:{valType:\"enumerated\",values:[\"linear\",\"spline\",\"hv\",\"vh\",\"hvh\",\"vhv\"],dflt:\"linear\",editType:\"plot\"},smoothing:{valType:\"number\",min:0,max:1.3,dflt:1,editType:\"plot\"},dash:u({},s,{editType:\"style\"}),simplify:{valType:\"boolean\",dflt:!0,editType:\"plot\"},editType:\"plot\"},connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},cliponaxis:{valType:\"boolean\",dflt:!0,editType:\"plot\"},fill:{valType:\"enumerated\",values:[\"none\",\"tozeroy\",\"tozerox\",\"tonexty\",\"tonextx\",\"toself\",\"tonext\"],dflt:\"none\",editType:\"calc\"},fillcolor:{valType:\"color\",editType:\"style\"},marker:u({symbol:{valType:\"enumerated\",values:l.symbolList,dflt:\"circle\",arrayOk:!0,editType:\"style\"},opacity:{valType:\"number\",min:0,max:1,arrayOk:!0,editType:\"style\"},size:{valType:\"number\",min:0,dflt:6,arrayOk:!0,editType:\"calcIfAutorange\"},maxdisplayed:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},sizeref:{valType:\"number\",dflt:1,editType:\"calc\"},sizemin:{valType:\"number\",min:0,dflt:0,editType:\"calc\"},sizemode:{valType:\"enumerated\",values:[\"diameter\",\"area\"],dflt:\"diameter\",editType:\"calc\"},showscale:{valType:\"boolean\",dflt:!1,editType:\"calc\"},colorbar:a,line:u({width:{valType:\"number\",min:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},n(\"marker.line\")),gradient:{type:{valType:\"enumerated\",values:[\"radial\",\"horizontal\",\"vertical\",\"none\"],arrayOk:!0,dflt:\"none\",editType:\"calc\"},color:{valType:\"color\",arrayOk:!0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},n(\"marker\")),textposition:{valType:\"enumerated\",values:[\"top 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r,u,c,h=i.getFromId(t,e.xaxis||\"x\"),f=i.getFromId(t,e.yaxis||\"y\"),d=h.makeCalcdata(e,\"x\"),p=f.makeCalcdata(e,\"y\"),m=Math.min(d.length,p.length);h._minDtick=0,f._minDtick=0,d.length>m&&d.splice(m,d.length-m),p.length>m&&p.splice(m,p.length-m);var v={padded:!0},g={padded:!0};if(o.hasMarkers(e)){if(r=e.marker,u=r.size,Array.isArray(u)){var y={type:\"linear\"};i.setConvert(y),u=y.makeCalcdata(e.marker,\"size\"),u.length>m&&u.splice(m,u.length-m)}var b,x=1.6*(e.marker.sizeref||1);b=\"area\"===e.marker.sizemode?function(t){return Math.max(Math.sqrt((t||0)/x),3)}:function(t){return 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i=t(\"../scatter/attributes\"),a=t(\"../../components/colorscale/color_attributes\"),o=t(\"../../components/errorbars/attributes\"),s=t(\"../../constants/gl3d_dashes\"),l=t(\"../../constants/gl3d_markers\"),u=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll,h=i.line,f=i.marker,d=f.line,p=e.exports=c({x:i.x,y:i.y,z:{valType:\"data_array\"},text:u({},i.text,{}),hovertext:u({},i.hovertext,{}),mode:u({},i.mode,{dflt:\"lines+markers\"}),surfaceaxis:{valType:\"enumerated\",values:[-1,0,1,2],dflt:-1},surfacecolor:{valType:\"color\"},projection:{x:n(\"x\"),y:n(\"y\"),z:n(\"z\")},connectgaps:i.connectgaps,line:u({width:h.width,dash:{valType:\"enumerated\",values:Object.keys(s),dflt:\"solid\"},showscale:{valType:\"boolean\",dflt:!1}},a(\"line\")),marker:u({symbol:{valType:\"enumerated\",values:Object.keys(l),dflt:\"circle\",arrayOk:!0},size:u({},f.size,{dflt:8}),sizeref:f.sizeref,sizemin:f.sizemin,sizemode:f.sizemode,opacity:u({},f.opacity,{arrayOk:!1}),showscale:f.showscale,colorbar:f.colorbar,line:u({width:u({},d.width,{arrayOk:!1})},a(\"marker.line\"))},a(\"marker\")),textposition:u({},i.textposition,{dflt:\"top 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u=t.opacity;if(t.marker&&t.marker.opacity&&(u*=t.marker.opacity),r={gl:o,position:l.position,color:l.scatterColor,size:l.scatterSize,glyph:l.scatterMarker,opacity:u,orthographic:!0,lineWidth:l.scatterLineWidth,lineColor:l.scatterLineColor,project:l.project,projectScale:l.projectScale,projectOpacity:l.projectOpacity},-1!==this.mode.indexOf(\"markers\")?this.scatterPlot?this.scatterPlot.update(r):(this.scatterPlot=p(r),this.scatterPlot._trace=this,this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),a={gl:o,position:l.position,glyph:l.text,color:l.textColor,size:l.textSize,angle:l.textAngle,alignment:l.textOffset,font:l.textFont,orthographic:!0,lineWidth:0,project:!1,opacity:t.opacity},this.textLabels=t.hovertext||t.text,-1!==this.mode.indexOf(\"text\")?this.textMarkers?this.textMarkers.update(a):(this.textMarkers=p(a),this.textMarkers._trace=this,this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),n={gl:o,position:l.position,color:l.errorColor,error:l.errorBounds,lineWidth:l.errorLineWidth,capSize:l.errorCapSize,opacity:t.opacity},this.errorBars?l.errorBounds?this.errorBars.update(n):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):l.errorBounds&&(this.errorBars=m(n),this.errorBars._trace=this,this.scene.glplot.add(this.errorBars)),l.delaunayAxis>=0){var 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a=0,o=r(\"x\"),s=r(\"y\"),l=r(\"z\");return i.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],n),o&&s&&l&&(a=Math.min(o.length,s.length,l.length),a<o.length&&(e.x=o.slice(0,a)),a<s.length&&(e.y=s.slice(0,a)),a<l.length&&(e.z=l.slice(0,a))),a}var i=t(\"../../registry\"),a=t(\"../../lib\"),o=t(\"../scatter/subtypes\"),s=t(\"../scatter/marker_defaults\"),l=t(\"../scatter/line_defaults\"),u=t(\"../scatter/text_defaults\"),c=t(\"../../components/errorbars/defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,i){function f(r,n){return a.coerce(t,e,h,r,n)}if(!n(t,e,f,i))return void(e.visible=!1);f(\"text\"),f(\"hovertext\"),f(\"mode\"),o.hasLines(e)&&(f(\"connectgaps\"),l(t,e,r,i,f)),o.hasMarkers(e)&&s(t,e,r,i,f),o.hasText(e)&&u(t,e,i,f);var d=(e.line||{}).color,p=(e.marker||{}).color;f(\"surfaceaxis\")>=0&&f(\"surfacecolor\",d||p);for(var m=[\"x\",\"y\",\"z\"],v=0;v<3;++v){var g=\"projection.\"+m[v];f(g+\".show\")&&(f(g+\".opacity\"),f(g+\".scale\"))}c(t,e,r,{axis:\"z\"}),c(t,e,r,{axis:\"y\",inherit:\"z\"}),c(t,e,r,{axis:\"x\",inherit:\"z\"})}},{\"../../components/errorbars/defaults\":633,\"../../lib\":728,\"../../registry\":846,\"../scatter/line_defaults\":1043,\"../scatter/marker_defaults\":1048,\"../scatter/subtypes\":1052,\"../scatter/text_defaults\":1053,\"./attributes\":1055}],1060:[function(t,e,r){\"use strict\";var n={};n.plot=t(\"./convert\"),n.attributes=t(\"./attributes\"),n.markerSymbols=t(\"../../constants/gl3d_markers\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.moduleType=\"trace\",n.name=\"scatter3d\",n.basePlotModule=t(\"../../plots/gl3d\"),n.categories=[\"gl3d\",\"symbols\",\"markerColorscale\",\"showLegend\"],n.meta={},e.exports=n},{\"../../constants/gl3d_markers\":705,\"../../plots/gl3d\":811,\"../scatter/colorbar\":1034,\"./attributes\":1055,\"./calc\":1056,\"./convert\":1058,\"./defaults\":1059}],1061:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/colorscale/color_attributes\"),o=t(\"../../components/colorbar/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=n.marker,u=n.line,c=l.line;e.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:s({},n.mode,{dflt:\"markers\"}),text:s({},n.text,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:s({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:s({},n.fill,{values:[\"none\",\"toself\",\"tonext\"]}),fillcolor:n.fillcolor,marker:s({symbol:l.symbol,opacity:l.opacity,maxdisplayed:l.maxdisplayed,size:l.size,sizeref:l.sizeref,sizemin:l.sizemin,sizemode:l.sizemode,line:s({width:c.width,editType:\"calc\"},a(\"marker\".line)),gradient:l.gradient,editType:\"calc\"},a(\"marker\"),{showscale:l.showscale,colorbar:o}),textfont:n.textfont,textposition:n.textposition,hoverinfo:s({},i.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron}},{\"../../components/colorbar/attributes\":605,\"../../components/colorscale/color_attributes\":611,\"../../lib/extend\":717,\"../../plots/attributes\":770,\"../scatter/attributes\":1031}],1062:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/colorscale_calc\"),s=t(\"../scatter/arrays_to_calcdata\"),l=t(\"../carpet/lookup_carpetid\");e.exports=function(t,e){var r=e.carpetTrace=l(t,e);if(r&&r.visible&&\"legendonly\"!==r.visible){var u;e.xaxis=r.xaxis,e.yaxis=r.yaxis;var c,h,f=e.a.length,d=new Array(f),p=!1;for(u=0;u<f;u++)if(c=e.a[u],h=e.b[u],n(c)&&n(h)){var m=r.ab2xy(+c,+h,!0),v=r.isVisible(+c,+h);v||(p=!0),d[u]={x:m[0],y:m[1],a:c,b:h,vis:v}}else d[u]={x:!1,y:!1};e._needsCull=p,d[0].carpet=r,d[0].trace=e;var g,y;if(a.hasMarkers(e)&&(g=e.marker,y=g.size,Array.isArray(y))){var b={type:\"linear\"};i.setConvert(b),y=b.makeCalcdata(e.marker,\"size\"),y.length>f&&y.splice(f,y.length-f)}return o(e),s(d,e),d}}},{\"../../plots/cartesian/axes\":772,\"../carpet/lookup_carpetid\":903,\"../scatter/arrays_to_calcdata\":1030,\"../scatter/colorscale_calc\":1035,\"../scatter/subtypes\":1052,\"fast-isnumeric\":131}],1063:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),u=t(\"../scatter/text_defaults\"),c=t(\"../scatter/fillcolor_defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,f){function d(r,i){return n.coerce(t,e,h,r,i)}d(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var p,m=d(\"a\"),v=d(\"b\");if(!(p=Math.min(m.length,v.length)))return void(e.visible=!1);m&&p<m.length&&(e.a=m.slice(0,p)),v&&p<v.length&&(e.b=v.slice(0,p)),d(\"text\"),d(\"mode\",p<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,f,d),l(t,e,d),d(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,f,d,{gradient:!0}),a.hasText(e)&&u(t,e,f,d);var g=[];(a.hasMarkers(e)||a.hasText(e))&&(d(\"marker.maxdisplayed\"),g.push(\"points\")),d(\"fill\"),\"none\"!==e.fill&&(c(t,e,r,d),a.hasLines(e)||l(t,e,d)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||g.push(\"fills\"),d(\"hoveron\",g.join(\"+\")||\"points\")}},{\"../../lib\":728,\"../scatter/constants\":1036,\"../scatter/fillcolor_defaults\":1039,\"../scatter/line_defaults\":1043,\"../scatter/line_shape_defaults\":1045,\"../scatter/marker_defaults\":1048,\"../scatter/subtypes\":1052,\"../scatter/text_defaults\":1053,\"./attributes\":1061}],1064:[function(t,e,r){\"use strict\";var n=t(\"../scatter/hover\");e.exports=function(t,e,r,i){function a(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,g.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}var o=n(t,e,r,i);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,u=t.xa._length,c=u*l/2,h=u-c;return s.x0=Math.max(Math.min(s.x0,h),c),s.x1=Math.max(Math.min(s.x1,h),c),o}var f=s.cd[s.index];s.a=f.a,s.b=f.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var d=s.trace,p=d._carpet,m=f.hi||d.hoverinfo,v=m.split(\"+\"),g=[];-1!==v.indexOf(\"all\")&&(v=[\"a\",\"b\"]),-1!==v.indexOf(\"a\")&&a(p.aaxis,f.a),-1!==v.indexOf(\"b\")&&a(p.baxis,f.b);var y=p.ab2ij([f.a,f.b]),b=Math.floor(y[0]),x=y[0]-b,_=Math.floor(y[1]),w=y[1]-_,M=p.evalxy([],b,_,x,w);return g.push(\"y: \"+M[1].toFixed(3)),s.extraText=g.join(\"<br>\"),o}}},{\"../scatter/hover\":1041}],1065:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.plot=t(\"./plot\"),n.style=t(\"./style\"),n.hoverPoints=t(\"./hover\"),n.selectPoints=t(\"./select\"),n.moduleType=\"trace\",n.name=\"scattercarpet\",n.basePlotModule=t(\"../../plots/cartesian\"),n.categories=[\"carpet\",\"symbols\",\"markerColorscale\",\"showLegend\",\"carpetDependent\"],n.meta={},e.exports=n},{\"../../plots/cartesian\":782,\"../scatter/colorbar\":1034,\"./attributes\":1061,\"./calc\":1062,\"./defaults\":1063,\"./hover\":1064,\"./plot\":1066,\"./select\":1067,\"./style\":1068}],1066:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../components/drawing\");e.exports=function(t,e,r){var o,s,l,u=r[0][0].carpet,c={xaxis:i.getFromId(t,u.xaxis||\"x\"),yaxis:i.getFromId(t,u.yaxis||\"y\"),plot:e.plot};for(n(t,c,r),o=0;o<r.length;o++)s=r[o][0].trace,l=c.plot.selectAll(\"g.trace\"+s.uid+\" .js-line\"),a.setClipUrl(l,u._clipPathId)}},{\"../../components/drawing\":628,\"../../plots/cartesian/axes\":772,\"../scatter/plot\":1049}],1067:[function(t,e,r){\"use strict\";var n=t(\"../scatter/select\");e.exports=function(t,e){var r=n(t,e);if(r){var i,a,o,s=t.cd;for(o=0;o<r.length;o++)i=r[o],a=s[i.pointNumber],i.a=a.a,i.b=a.b,i.c=a.c,delete i.x,delete i.y;return r}}},{\"../scatter/select\":1050}],1068:[function(t,e,r){\"use strict\";var n=t(\"../scatter/style\");e.exports=function(t){for(var e=t._fullLayout._modules,r=0;r<e.length;r++)if(\"scatter\"===e[r].name)return;n(t)}},{\"../scatter/style\":1051}],1069:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/colorscale/color_attributes\"),o=t(\"../../components/drawing/attributes\").dash,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll,u=n.marker,c=n.line,h=u.line;e.exports=l({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country names\"],dflt:\"ISO-3\"},mode:s({},n.mode,{dflt:\"markers\"}),text:s({},n.text,{}),hovertext:s({},n.hovertext,{}),textfont:n.textfont,textposition:n.textposition,line:{color:c.color,width:c.width,dash:o},connectgaps:n.connectgaps,marker:s({symbol:u.symbol,opacity:u.opacity,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,showscale:u.showscale,colorbar:u.colorbar,line:s({width:h.width},a(\"marker.line\")),gradient:u.gradient},a(\"marker\")),fill:{valType:\"enumerated\",values:[\"none\",\"toself\"],dflt:\"none\"},fillcolor:n.fillcolor,hoverinfo:s({},i.hoverinfo,{flags:[\"lon\",\"lat\",\"location\",\"text\",\"name\"]})},\"calc\",\"nested\")},{\"../../components/colorscale/color_attributes\":611,\"../../components/drawing/attributes\":627,\"../../lib/extend\":717,\"../../plot_api/edit_types\":756,\"../../plots/attributes\":770,\"../scatter/attributes\":1031}],1070:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../scatter/colorscale_calc\"),o=t(\"../scatter/arrays_to_calcdata\");e.exports=function(t,e){for(var r=Array.isArray(e.locations),s=r?e.locations.length:e.lon.length,l=new Array(s),u=0;u<s;u++){var c=l[u]={};if(r){var h=e.locations[u];c.loc=\"string\"==typeof h?h:null}else{var f=e.lon[u],d=e.lat[u];n(f)&&n(d)?c.lonlat=[+f,+d]:c.lonlat=[i,i]}}return o(l,e),a(e),l}},{\"../../constants/numerical\":707,\"../scatter/arrays_to_calcdata\":1030,\"../scatter/colorscale_calc\":1035,\"fast-isnumeric\":131}],1071:[function(t,e,r){\"use strict\";function n(t,e,r){var n,i,a=0,o=r(\"locations\");return o?(r(\"locationmode\"),a=o.length):(n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length),a<n.length&&(e.lon=n.slice(0,a)),a<i.length&&(e.lat=i.slice(0,a)),a)}var i=t(\"../../lib\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,h){function f(r,n){return i.coerce(t,e,c,r,n)}if(!n(t,e,f))return void(e.visible=!1);f(\"text\"),f(\"hovertext\"),f(\"mode\"),a.hasLines(e)&&(s(t,e,r,h,f),f(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,h,f,{gradient:!0}),a.hasText(e)&&l(t,e,h,f),f(\"fill\"),\"none\"!==e.fill&&u(t,e,r,f)}},{\"../../lib\":728,\"../scatter/fillcolor_defaults\":1039,\"../scatter/line_defaults\":1043,\"../scatter/marker_defaults\":1048,\"../scatter/subtypes\":1052,\"../scatter/text_defaults\":1053,\"./attributes\":1069}],1072:[function(t,e,r){\"use strict\";e.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null,t}},{}],1073:[function(t,e,r){\"use strict\";function n(t,e,r){function n(t){return a.tickText(r,r.c2l(t),\"hover\").text+\"\\xb0\"}var i=e.hi||t.hoverinfo,o=\"all\"===i?u.hoverinfo.flags:i.split(\"+\"),s=-1!==o.indexOf(\"location\")&&Array.isArray(t.locations),c=-1!==o.indexOf(\"lon\"),h=-1!==o.indexOf(\"lat\"),f=-1!==o.indexOf(\"text\"),d=[];return s?d.push(e.loc):c&&h?d.push(\"(\"+n(e.lonlat[0])+\", \"+n(e.lonlat[1])+\")\"):c?d.push(\"lon: \"+n(e.lonlat[0])):h&&d.push(\"lat: \"+n(e.lonlat[1])),f&&l(e,t,d),d.join(\"<br>\")}var i=t(\"../../components/fx\"),a=t(\"../../plots/cartesian/axes\"),o=t(\"../../constants/numerical\").BADNUM,s=t(\"../scatter/get_trace_color\"),l=t(\"../scatter/fill_hover_text\"),u=t(\"./attributes\");e.exports=function(t,e,r){function a(t){var n=t.lonlat;if(n[0]===o)return 1/0;if(d(n))return 1/0;var i=p(n),a=p([e,r]),s=Math.abs(i[0]-a[0]),l=Math.abs(i[1]-a[1]),u=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(s*s+l*l)-u,1-3/u)}var l=t.cd,u=l[0].trace,c=t.xa,h=t.ya,f=t.subplot,d=f.projection.isLonLatOverEdges,p=f.project;if(i.getClosest(l,a,t),!1!==t.index){var m=l[t.index],v=m.lonlat,g=[c.c2p(v),h.c2p(v)],y=m.mrc||1;return t.x0=g[0]-y,t.x1=g[0]+y,t.y0=g[1]-y,t.y1=g[1]+y,t.loc=m.loc,t.lon=v[0],t.lat=v[1],t.color=s(u,m),t.extraText=n(u,m,f.mockAxis),[t]}}},{\"../../components/fx\":645,\"../../constants/numerical\":707,\"../../plots/cartesian/axes\":772,\"../scatter/fill_hover_text\":1038,\"../scatter/get_trace_color\":1040,\"./attributes\":1069}],1074:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.plot=t(\"./plot\"),n.hoverPoints=t(\"./hover\"),n.eventData=t(\"./event_data\"),n.selectPoints=t(\"./select\"),n.moduleType=\"trace\",n.name=\"scattergeo\",n.basePlotModule=t(\"../../plots/geo\"),n.categories=[\"geo\",\"symbols\",\"markerColorscale\",\"showLegend\",\"scatter-like\"],n.meta={},e.exports=n},{\"../../plots/geo\":800,\"../scatter/colorbar\":1034,\"./attributes\":1069,\"./calc\":1070,\"./defaults\":1071,\"./event_data\":1072,\"./hover\":1073,\"./plot\":1075,\"./select\":1076}],1075:[function(t,e,r){\"use strict\";function n(t,e){var r=t[0].trace;if(Array.isArray(r.locations))for(var n=c(r,e),i=r.locationmode,a=0;a<t.length;a++){var o=t[a],s=h(i,o.loc,n);o.lonlat=s?s.properties.ct:[u,u]}}function i(t){var e=t.layers.frontplot.selectAll(\".trace.scattergeo\");e.style(\"opacity\",function(t){return t[0].trace.opacity}),e.each(function(e){var r=e[0].trace,n=a.select(this);n.selectAll(\"path.point\").call(o.pointStyle,r,t.graphDiv),n.selectAll(\"text\").call(o.textPointStyle,r,t.graphDiv)}),e.selectAll(\"path.js-line\").style(\"fill\",\"none\").each(function(t){var e=a.select(this),r=t.trace,n=r.line||{};e.call(s.stroke,n.color).call(o.dashLine,n.dash||\"\",n.width||0),\"none\"!==r.fill&&e.call(s.fill,r.fillcolor)})}var a=t(\"d3\"),o=t(\"../../components/drawing\"),s=t(\"../../components/color\"),l=t(\"../../lib\"),u=t(\"../../constants/numerical\").BADNUM,c=t(\"../../lib/topojson_utils\").getTopojsonFeatures,h=t(\"../../lib/geo_location_utils\").locationToFeature,f=t(\"../../lib/geojson_utils\"),d=t(\"../scatter/subtypes\")\n",
       ";e.exports=function(t,e){function r(t){return t[0].trace.uid}function o(t,e){t.lonlat[0]===u&&a.select(e).remove()}for(var s=0;s<e.length;s++)n(e[s],t.topojson);var c=t.layers.frontplot.select(\".scatterlayer\").selectAll(\"g.trace.scattergeo\").data(e,r);c.enter().append(\"g\").attr(\"class\",\"trace scattergeo\"),c.exit().remove(),c.selectAll(\"*\").remove(),c.each(function(t){var e=t[0].node3=a.select(this),r=t[0].trace;if(d.hasLines(r)||\"none\"!==r.fill){var n=f.calcTraceToLineCoords(t),i=\"none\"!==r.fill?f.makePolygon(n):f.makeLine(n);e.selectAll(\"path.js-line\").data([{geojson:i,trace:r}]).enter().append(\"path\").classed(\"js-line\",!0).style(\"stroke-miterlimit\",2)}d.hasMarkers(r)&&e.selectAll(\"path.point\").data(l.identity).enter().append(\"path\").classed(\"point\",!0).each(function(t){o(t,this)}),d.hasText(r)&&e.selectAll(\"g\").data(l.identity).enter().append(\"g\").append(\"text\").each(function(t){o(t,this)})}),i(t)}},{\"../../components/color\":604,\"../../components/drawing\":628,\"../../constants/numerical\":707,\"../../lib\":728,\"../../lib/geo_location_utils\":720,\"../../lib/geojson_utils\":721,\"../../lib/topojson_utils\":753,\"../scatter/subtypes\":1052,d3:122}],1076:[function(t,e,r){\"use strict\";var n=t(\"../scatter/subtypes\"),i=t(\"../../constants/interactions\").DESELECTDIM;e.exports=function(t,e){var r,a,o,s,l,u=t.cd,c=t.xaxis,h=t.yaxis,f=[],d=u[0].trace,p=u[0].node3,m=!n.hasMarkers(d)&&!n.hasText(d);if(!0===d.visible&&!m){var v=d.marker,g=Array.isArray(v.opacity)?1:v.opacity;if(!1===e)for(l=0;l<u.length;l++)u[l].dim=0;else for(l=0;l<u.length;l++)r=u[l],a=r.lonlat,o=c.c2p(a),s=h.c2p(a),e.contains([o,s])?(f.push({pointNumber:l,lon:a[0],lat:a[1]}),r.dim=0):r.dim=1;return p.selectAll(\"path.point\").style(\"opacity\",function(t){return((t.mo+1||g+1)-1)*(t.dim?i:1)}),p.selectAll(\"text\").style(\"opacity\",function(t){return t.dim?i:1}),f}}},{\"../../constants/interactions\":706,\"../scatter/subtypes\":1052}],1077:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../components/colorscale/color_attributes\"),a=t(\"../../constants/gl2d_dashes\"),o=t(\"../../constants/gl2d_markers\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll,u=n.line,c=n.marker,h=c.line,f=e.exports=l({x:n.x,x0:n.x0,dx:n.dx,y:n.y,y0:n.y0,dy:n.dy,text:s({},n.text,{}),mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\"],extras:[\"none\"]},line:{color:u.color,width:u.width,dash:{valType:\"enumerated\",values:Object.keys(a),dflt:\"solid\"}},marker:s({},i(\"marker\"),{symbol:{valType:\"enumerated\",values:Object.keys(o),dflt:\"circle\",arrayOk:!0},size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,opacity:c.opacity,showscale:c.showscale,colorbar:c.colorbar,line:s({},i(\"marker.line\"),{width:h.width})}),connectgaps:n.connectgaps,fill:s({},n.fill,{values:[\"none\",\"tozeroy\",\"tozerox\"]}),fillcolor:n.fillcolor,error_y:n.error_y,error_x:n.error_x},\"calc\",\"nested\");f.x.editType=f.y.editType=f.x0.editType=f.y0.editType=\"calc+clearAxisTypes\"},{\"../../components/colorscale/color_attributes\":611,\"../../constants/gl2d_dashes\":702,\"../../constants/gl2d_markers\":703,\"../../lib/extend\":717,\"../../plot_api/edit_types\":756,\"../scatter/attributes\":1031}],1078:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\"),i=t(\"../scatter/arrays_to_calcdata\"),a=t(\"../scatter/colorscale_calc\");e.exports=function(t,e){var r,o=t._fullLayout.dragmode;if(\"lasso\"===o||\"select\"===o){var s,l=n.getFromId(t,e.xaxis||\"x\"),u=n.getFromId(t,e.yaxis||\"y\"),c=l.makeCalcdata(e,\"x\"),h=u.makeCalcdata(e,\"y\"),f=Math.min(c.length,h.length);for(r=new Array(f),s=0;s<f;s++)r[s]={x:c[s],y:h[s]}}else r=[{x:!1,y:!1,trace:e,t:{}}],i(r,e);return a(e),r}},{\"../../plots/cartesian/axes\":772,\"../scatter/arrays_to_calcdata\":1030,\"../scatter/colorscale_calc\":1035}],1079:[function(t,e,r){\"use strict\";function n(t,e){this.scene=t,this.uid=e,this.type=\"scattergl\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.connectgaps=!0,this.index=null,this.idToIndex=[],this.bounds=[0,0,0,0],this.isVisible=!1,this.hasLines=!1,this.hasErrorX=!1,this.hasErrorY=!1,this.hasMarkers=!1,this.line=this.initObject(m,{positions:new Float64Array(0),color:[0,0,0,1],width:1,fill:[!1,!1,!1,!1],fillColor:[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],dashes:[1]},0),this.errorX=this.initObject(v,{positions:new Float64Array(0),errors:new Float64Array(0),lineWidth:1,capSize:0,color:[0,0,0,1]},1),this.errorY=this.initObject(v,{positions:new Float64Array(0),errors:new Float64Array(0),lineWidth:1,capSize:0,color:[0,0,0,1]},2);var r={positions:new Float64Array(0),sizes:[],colors:[],glyphs:[],borderWidths:[],borderColors:[],size:12,color:[0,0,0,1],borderSize:1,borderColor:[0,0,0,1],snapPoints:!0},n=y.extendFlat({},r,{snapPoints:!1});this.scatter=this.initObject(d,r,3),this.fancyScatter=this.initObject(p,r,4),this.selectScatter=this.initObject(d,n,5)}function i(t,e,r){return Array.isArray(e)||(e=[e]),a(t,e,r)}function a(t,e,r){for(var n=new Array(r),i=e[0],a=0;a<r;++a)n[a]=t(a>=e.length?i:e[a]);return n}function o(t,e,r){return l(O(t,r),P(e,r),r)}function s(t,e,r,n){var i=k(t,e,n);return i=Array.isArray(i[0])?i:a(y.identity,[i],n),l(i,P(r,n),n)}function l(t,e,r){for(var n=new Array(4*r),i=0;i<r;++i){for(var a=0;a<3;++a)n[4*i+a]=t[i][a];n[4*i+3]=t[i][3]*e[i]}return n}function u(t){return\"\"===t.split(\"-open\")[1]}function c(t,e,r,n,i){var a,o=i?C:1;for(a=0;a<3;a++)t[4*r+a]=e[4*n+a];t[4*r+a]=o*e[4*n+a]}function h(t){for(var e,r=t.length,n=Math.max(1,(r-1)/Math.min(Math.max(r,1),1e3)),i=0;i<r;i+=n)if(e=t[Math.floor(i)],!(g(e)||e instanceof Date))return!1;return!0}function f(t,e,r){var i=new n(t,e.uid);return i.update(e,r),i}var d=t(\"gl-scatter2d\"),p=t(\"gl-scatter2d-sdf\"),m=t(\"gl-line2d\"),v=t(\"gl-error2d\"),g=t(\"fast-isnumeric\"),y=t(\"../../lib\"),b=t(\"../../plots/cartesian/axes\"),x=t(\"../../plots/cartesian/axis_autotype\"),_=t(\"../../components/errorbars\"),w=t(\"../../lib/str2rgbarray\"),M=t(\"../../lib/typed_array_truncate\"),k=t(\"../../lib/gl_format_color\"),A=t(\"../scatter/subtypes\"),T=t(\"../scatter/make_bubble_size_func\"),S=t(\"../scatter/get_trace_color\"),E=t(\"../../constants/gl2d_markers\"),L=t(\"../../constants/gl2d_dashes\"),C=t(\"../../constants/interactions\").DESELECTDIM,I=[\"xaxis\",\"yaxis\"],z=[0,0,0,0],D=n.prototype;D.initObject=function(t,e,r){function n(){u||(u=t(s,e),u._trace=o,u._index=r),u.update(e)}function i(){u&&u.update(l)}function a(){u&&u.dispose()}var o=this,s=o.scene.glplot,l=y.extendFlat({},e),u=null;return{options:e,update:n,clear:i,dispose:a}},D.handlePick=function(t){var e=t.pointId;(t.object!==this.line||this.connectgaps)&&(e=this.idToIndex[t.pointId]);var r=this.pickXData[e];return{trace:this,dataCoord:t.dataCoord,traceCoord:[g(r)||!y.isDateTime(r)?r:y.dateTime2ms(r),this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:Array.isArray(this.color)?this.color[e]:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},D.isFancy=function(t){if(\"linear\"!==this.scene.xaxis.type&&\"date\"!==this.scene.xaxis.type)return!0;if(\"linear\"!==this.scene.yaxis.type)return!0;if(!t.x||!t.y)return!0;if(this.hasMarkers){var e=t.marker||{};if(Array.isArray(e.symbol)||\"circle\"!==e.symbol||Array.isArray(e.size)||Array.isArray(e.color)||Array.isArray(e.line.width)||Array.isArray(e.line.color)||Array.isArray(e.opacity))return!0}return!(!this.hasLines||this.connectgaps)||(!!this.hasErrorX||!!this.hasErrorY)};var P=i.bind(null,function(t){return+t}),O=i.bind(null,w),R=i.bind(null,function(t){return 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Float64Array(2*l),f=this.bounds,d=0,p=0,m=t.selection,v=t.xcalendar,b=h(o),_=!b&&\"date\"===x(o,v);if(b||_)for(e=0;e<l;++e)i=o[e],a=s[e],g(a)&&(b||(i=y.dateTime2ms(i,v)),c[p++]=i,c[p++]=a,u[d++]=e,f[0]=Math.min(f[0],i),f[1]=Math.min(f[1],a),f[2]=Math.max(f[2],i),f[3]=Math.max(f[3],a));if(c=M(c,p),this.idToIndex=u,m&&m.length)for(r=new Float64Array(2*m.length),e=0,n=m.length;e<n;e++)r[2*e+0]=m[e].x,r[2*e+1]=m[e].y;this.updateLines(t,c),this.updateError(\"X\",t),this.updateError(\"Y\",t);var k;if(this.hasMarkers){var A,T,S;r?(this.scatter.options.positions=null,A=w(t.marker.color),T=w(t.marker.line.color),S=t.opacity*t.marker.opacity*C,A[3]*=S,this.scatter.options.color=A,T[3]*=S,this.scatter.options.borderColor=T,k=t.marker.size,this.scatter.options.size=k,this.scatter.options.borderSize=t.marker.line.width,this.scatter.update(),this.scatter.options.positions=c,this.selectScatter.options.positions=r,A=w(t.marker.color),T=w(t.marker.line.color),S=t.opacity*t.marker.opacity,A[3]*=S,this.selectScatter.options.color=A,T[3]*=S,this.selectScatter.options.borderColor=T,k=t.marker.size,this.selectScatter.options.size=k,this.selectScatter.options.borderSize=t.marker.line.width,this.selectScatter.update()):(this.scatter.options.positions=c,A=w(t.marker.color),T=w(t.marker.line.color),S=t.opacity*t.marker.opacity,A[3]*=S,this.scatter.options.color=A,T[3]*=S,this.scatter.options.borderColor=T,k=t.marker.size,this.scatter.options.size=k,this.scatter.options.borderSize=t.marker.line.width,this.scatter.update())}else this.scatter.clear();this.fancyScatter.clear(),this.expandAxesFast(f,k)},D.updateFancy=function(t){var e=this.scene,r=e.xaxis,n=e.yaxis,a=this.bounds,o=t.selection,l=this.pickXData=r.makeCalcdata(t,\"x\").slice(),h=this.pickYData=n.makeCalcdata(t,\"y\").slice();this.xData=l.slice(),this.yData=h.slice();var f,d,p,m,v,g,y,b=_.calcFromTrace(t,e.fullLayout),x=l.length,w=new Array(x),k=new Float64Array(2*x),A=new Float64Array(4*x),S=new Float64Array(4*x),L=0,C=0,I=0,D=0,O=\"log\"===r.type?r.d2l:function(t){return t},F=\"log\"===n.type?n.d2l:function(t){return t};for(f=0;f<x;++f)this.xData[f]=d=O(l[f]),this.yData[f]=p=F(h[f]),isNaN(d)||isNaN(p)||(w[L++]=f,k[C++]=d,k[C++]=p,m=A[I++]=d-b[f].xs||0,v=A[I++]=b[f].xh-d||0,A[I++]=0,A[I++]=0,S[D++]=0,S[D++]=0,g=S[D++]=p-b[f].ys||0,y=S[D++]=b[f].yh-p||0,a[0]=Math.min(a[0],d-m),a[1]=Math.min(a[1],p-g),a[2]=Math.max(a[2],d+v),a[3]=Math.max(a[3],p+y));k=M(k,C),this.idToIndex=w,this.updateLines(t,k),this.updateError(\"X\",t,k,A),this.updateError(\"Y\",t,k,S);var j,N;if(o&&o.length)for(N={},f=0;f<o.length;f++)N[o[f].pointNumber]=!0;if(this.hasMarkers){this.scatter.options.positions=k,this.scatter.options.sizes=new Array(L),this.scatter.options.glyphs=new Array(L),this.scatter.options.borderWidths=new Array(L),this.scatter.options.colors=new Array(4*L),this.scatter.options.borderColors=new Array(4*L);var B,U,V,H,q,G,Y,W,X,Z,J=T(t),K=t.marker,Q=K.opacity,$=t.opacity,tt=R(K.symbol,x),et=s(K,Q,$,x),rt=P(K.line.width,x),nt=s(K.line,Q,$,x);for(j=i(J,K.size,x),f=0;f<L;++f)B=w[f],V=tt[B],H=E[V],q=u(V),G=N&&!N[B],Y=H.noBorder&&!q?nt:et,W=q?et:nt,U=j[B],X=rt[B],Z=H.noBorder||H.noFill?.1*U:0,this.scatter.options.sizes[f]=4*U,this.scatter.options.glyphs[f]=H.unicode,this.scatter.options.borderWidths[f]=.5*(X>Z?X-Z:0),!q||H.noBorder||H.noFill?c(this.scatter.options.colors,Y,f,B,G):c(this.scatter.options.colors,z,f,0),c(this.scatter.options.borderColors,W,f,B,G);N?(this.scatter.options.positions=null,this.fancyScatter.update(),this.scatter.options.positions=k):this.fancyScatter.update()}else this.fancyScatter.clear();this.scatter.clear(),this.expandAxesFancy(l,h,j)},D.updateLines=function(t,e){var r;if(this.hasLines){var n=e;if(!t.connectgaps){var i=0,a=this.xData,s=this.yData;for(n=new Float64Array(2*a.length),r=0;r<a.length;++r)n[i++]=a[r],n[i++]=s[r]}this.line.options.positions=n;var l=o(t.line.color,t.opacity,1),u=Math.round(.5*this.line.options.width),c=(L[t.line.dash]||[1]).slice();for(r=0;r<c.length;++r)c[r]*=u;switch(t.fill){case\"tozeroy\":this.line.options.fill=[!1,!0,!1,!1];break;case\"tozerox\":this.line.options.fill=[!0,!1,!1,!1];break;default:this.line.options.fill=[!1,!1,!1,!1]}var h=w(t.fillcolor);this.line.options.color=l,this.line.options.width=2*t.line.width,this.line.options.dashes=c,this.line.options.fillColor=[h,h,h,h],this.line.update()}else this.line.clear()},D.updateError=function(t,e,r,n){var i=this[\"error\"+t],a=e[\"error_\"+t.toLowerCase()];\"x\"===t.toLowerCase()&&a.copy_ystyle&&(a=e.error_y),this[\"hasError\"+t]?(i.options.positions=r,i.options.errors=n,i.options.capSize=a.width,i.options.lineWidth=a.thickness/2,i.options.color=o(a.color,1,1),i.update()):i.clear()},D.expandAxesFast=function(t,e){for(var r,n,i,a=e||10,o=0;o<2;o++)r=this.scene[I[o]],n=r._min,n||(n=[]),n.push({val:t[o],pad:a}),i=r._max,i||(i=[]),i.push({val:t[o+2],pad:a})},D.expandAxesFancy=function(t,e,r){var n=this.scene,i={padded:!0,ppad:r};b.expand(n.xaxis,t,i),b.expand(n.yaxis,e,i)},D.dispose=function(){this.line.dispose(),this.errorX.dispose(),this.errorY.dispose(),this.scatter.dispose(),this.fancyScatter.dispose()},e.exports=f},{\"../../components/errorbars\":634,\"../../constants/gl2d_dashes\":702,\"../../constants/gl2d_markers\":703,\"../../constants/interactions\":706,\"../../lib\":728,\"../../lib/gl_format_color\":724,\"../../lib/str2rgbarray\":749,\"../../lib/typed_array_truncate\":754,\"../../plots/cartesian/axes\":772,\"../../plots/cartesian/axis_autotype\":773,\"../scatter/get_trace_color\":1040,\"../scatter/make_bubble_size_func\":1047,\"../scatter/subtypes\":1052,\"fast-isnumeric\":131,\"gl-error2d\":159,\"gl-line2d\":170,\"gl-scatter2d\":248,\"gl-scatter2d-sdf\":243}],1080:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/xy_defaults\"),s=t(\"../scatter/marker_defaults\"),l=t(\"../scatter/line_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),c=t(\"../../components/errorbars/defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,f){function d(r,i){return n.coerce(t,e,h,r,i)}var p=o(t,e,f,d);if(!p)return void(e.visible=!1);d(\"text\"),d(\"mode\",p<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(d(\"connectgaps\"),l(t,e,r,f,d)),a.hasMarkers(e)&&s(t,e,r,f,d),d(\"fill\"),\"none\"!==e.fill&&u(t,e,r,d),c(t,e,r,{axis:\"y\"}),c(t,e,r,{axis:\"x\",inherit:\"y\"})}},{\"../../components/errorbars/defaults\":633,\"../../lib\":728,\"../scatter/constants\":1036,\"../scatter/fillcolor_defaults\":1039,\"../scatter/line_defaults\":1043,\"../scatter/marker_defaults\":1048,\"../scatter/subtypes\":1052,\"../scatter/xy_defaults\":1054,\"./attributes\":1077}],1081:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.hoverPoints=t(\"../scatter/hover\"),n.calc=t(\"./calc\"),n.plot=t(\"./convert\"),n.selectPoints=t(\"./select\"),n.moduleType=\"trace\",n.name=\"scattergl\",n.basePlotModule=t(\"../../plots/gl2d\"),n.categories=[\"gl2d\",\"symbols\",\"errorBarsOK\",\"markerColorscale\",\"showLegend\",\"scatter-like\"],n.meta={},e.exports=n},{\"../../plots/gl2d\":808,\"../scatter/colorbar\":1034,\"../scatter/hover\":1041,\"./attributes\":1077,\"./calc\":1078,\"./convert\":1079,\"./defaults\":1080,\"./select\":1082}],1082:[function(t,e,r){\"use strict\";var n=t(\"../scatter/subtypes\");e.exports=function(t,e){var r,i,a,o,s=t.cd,l=t.xaxis,u=t.yaxis,c=[],h=s[0].trace,f=s[0]._glTrace,d=f.scene,p=!n.hasMarkers(h)&&!n.hasText(h);if(!0===h.visible&&!p){if(!1===e)for(r=0;r<s.length;r++)s[r].dim=0;else 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n=t(\"../scattergeo/attributes\"),i=t(\"../scatter/attributes\"),a=t(\"../../plots/mapbox/layout_attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorbar/attributes\"),l=t(\"../../lib/extend\").extendFlat,u=t(\"../../plot_api/edit_types\").overrideAll,c=n.line,h=n.marker;e.exports=u({lon:n.lon,lat:n.lat,mode:l({},i.mode,{dflt:\"markers\"}),text:l({},i.text,{}),hovertext:l({},i.hovertext,{}),line:{color:c.color,width:c.width},connectgaps:i.connectgaps,marker:{symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},opacity:h.opacity,size:h.size,sizeref:h.sizeref,sizemin:h.sizemin,sizemode:h.sizemode,color:h.color,colorscale:h.colorscale,cauto:h.cauto,cmax:h.cmax,cmin:h.cmin,autocolorscale:h.autocolorscale,reversescale:h.reversescale,showscale:h.showscale,colorbar:s},fill:n.fill,fillcolor:i.fillcolor,textfont:a.layers.symbol.textfont,textposition:a.layers.symbol.textposition,hoverinfo:l({},o.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]})},\"calc\",\"nested\")},{\"../../components/colorbar/attributes\":605,\"../../lib/extend\":717,\"../../plot_api/edit_types\":756,\"../../plots/attributes\":770,\"../../plots/mapbox/layout_attributes\":827,\"../scatter/attributes\":1031,\"../scattergeo/attributes\":1069}],1084:[function(t,e,r){\"use 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n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/colorscale/color_attributes\"),o=t(\"../../components/colorbar/attributes\"),s=t(\"../../components/drawing/attributes\").dash,l=t(\"../../lib/extend\").extendFlat,u=n.marker,c=n.line,h=u.line;e.exports={a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},c:{valType:\"data_array\",editType:\"calc\"},sum:{valType:\"number\",dflt:0,min:0,editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),hovertext:l({},n.hovertext,{}),line:{color:c.color,width:c.width,dash:s,shape:l({},c.shape,{values:[\"linear\",\"spline\"]}),smoothing:c.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,cliponaxis:n.cliponaxis,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"]}),fillcolor:n.fillcolor,marker:l({symbol:u.symbol,opacity:u.opacity,maxdisplayed:u.maxdisplayed,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,line:l({width:h.width,editType:\"calc\"},a(\"marker.line\")),gradient:u.gradient,editType:\"calc\"},a(\"marker\"),{showscale:u.showscale,colorbar:o}),textfont:n.textfont,textposition:n.textposition,hoverinfo:l({},i.hoverinfo,{flags:[\"a\",\"b\",\"c\",\"text\",\"name\"]}),hoveron:n.hoveron}},{\"../../components/colorbar/attributes\":605,\"../../components/colorscale/color_attributes\":611,\"../../components/drawing/attributes\":627,\"../../lib/extend\":717,\"../../plots/attributes\":770,\"../scatter/attributes\":1031}],1092:[function(t,e,r){\"use 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n=t(\"../scatter/hover\"),i=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r,a){function o(t,e){y.push(t._hovertitle+\": \"+i.tickText(t,e,\"hover\").text)}var s=n(t,e,r,a);if(s&&!1!==s[0].index){var l=s[0];if(void 0===l.index){var u=1-l.y0/t.ya._length,c=t.xa._length,h=c*u/2,f=c-h;return l.x0=Math.max(Math.min(l.x0,f),h),l.x1=Math.max(Math.min(l.x1,f),h),s}var d=l.cd[l.index];l.a=d.a,l.b=d.b,l.c=d.c,l.xLabelVal=void 0,l.yLabelVal=void 0;var p=l.trace,m=p._ternary,v=d.hi||p.hoverinfo,g=v.split(\"+\"),y=[];return-1!==g.indexOf(\"all\")&&(g=[\"a\",\"b\",\"c\"]),-1!==g.indexOf(\"a\")&&o(m.aaxis,d.a),-1!==g.indexOf(\"b\")&&o(m.baxis,d.b),-1!==g.indexOf(\"c\")&&o(m.caxis,d.c),l.extraText=y.join(\"<br>\"),s}}},{\"../../plots/cartesian/axes\":772,\"../scatter/hover\":1041}],1095:[function(t,e,r){\"use strict\";var n={};n.attributes=t(\"./attributes\"),n.supplyDefaults=t(\"./defaults\"),n.colorbar=t(\"../scatter/colorbar\"),n.calc=t(\"./calc\"),n.plot=t(\"./plot\"),n.style=t(\"./style\"),n.hoverPoints=t(\"./hover\"),n.selectPoints=t(\"./select\"),n.moduleType=\"trace\",n.name=\"scatterternary\",n.basePlotModule=t(\"../../plots/ternary\"),\n",
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          2266,
          2266,
          2267,
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          2269,
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          2259,
          2042,
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          86,
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          83,
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          82,
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          81,
          81,
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          76,
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          74,
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          91,
          91,
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          89,
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          88,
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          87.5,
          13,
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          87,
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          86,
          86,
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          15,
          15,
          15.5,
          85,
          85,
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          16,
          16,
          16.5,
          84,
          84,
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          17,
          17,
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          83,
          83,
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          18,
          18,
          18.5,
          82,
          82,
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          19,
          19,
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          81,
          81,
          80.5,
          20,
          20,
          20.5,
          80,
          80,
          79.5,
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          81,
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          79,
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          77,
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          75,
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          69,
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          67,
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          64,
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          41,
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          89,
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          87,
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          86,
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          83,
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          82,
          82,
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          18,
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          82,
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          19,
          19,
          19.5,
          81,
          81,
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          20,
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          80,
          80,
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          21,
          21,
          21.5,
          79,
          79,
          78.5,
          22,
          22,
          22.5,
          78,
          78,
          77.5,
          23,
          23,
          23.5,
          77,
          77,
          76.5,
          24,
          24,
          24.5,
          76,
          76,
          75.5,
          25,
          25,
          25.5,
          75,
          75,
          74.5,
          26,
          26,
          27,
          27,
          27.5,
          73,
          73,
          72.5,
          74,
          74,
          28,
          28,
          28.5,
          72,
          72,
          71.5,
          29,
          29,
          30,
          30,
          30.5,
          70,
          70,
          69.5,
          71,
          71,
          31,
          31,
          32,
          32,
          32.5,
          68,
          68,
          67.5,
          69,
          69,
          33,
          33,
          34,
          34,
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          66,
          66,
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          67,
          67,
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          35,
          36,
          36,
          36.5,
          64,
          64,
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          65,
          65,
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          38,
          38,
          39,
          39,
          40,
          40,
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          60,
          60,
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          61,
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          62,
          62,
          63,
          41,
          42,
          42,
          43,
          43,
          44,
          44,
          45,
          45,
          45.5,
          55,
          55,
          54.5,
          56,
          56,
          57,
          57,
          58,
          58,
          59,
          46,
          47,
          48,
          49,
          50,
          50,
          51,
          52,
          53,
          54,
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          11,
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          89,
          89,
          88.5,
          88.5,
          11,
          11.5,
          89,
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2123, 2120, 2124, 2126, 2120, 2124, 2126, 1886, 2122, 2127, 2128, 2123, 2129, 2125, 2132, 2131, 2131, 2131, 2131, 1893, 1893, 2135, 2128, 2128, 2128, 2131, 2136, 2138, 2131, 2136, 2138, 1898, 2133, 2139, 2140, 2134, 2141, 2136, 2142, 2136, 2136, 2144, 2144, 1905, 1905, 2139, 2139, 2141, 2147, 2143, 2150, 2149, 2149, 2151, 2144, 2149, 2151, 1910, 2145, 2152, 2153, 2155, 2146, 2146, 2146, 2150, 2158, 2157, 2157, 2157, 2157, 1917, 1917, 2161, 2153, 2153, 2153, 2157, 2162, 2164, 2157, 2162, 2164, 1924, 2159, 2165, 2166, 2160, 2167, 2163, 2170, 2169, 2169, 2169, 2169, 1931, 1931, 2173, 2166, 2166, 2166, 2169, 2174, 2176, 2169, 2174, 2176, 1938, 2171, 2177, 2178, 2172, 2179, 2175, 2182, 2181, 2181, 2183, 2176, 2181, 2183, 1946, 2177, 2184, 2185, 2187, 2178, 2178, 2178, 2182, 2190, 2189, 2189, 2191, 2183, 2189, 2191, 1954, 2184, 2192, 2193, 2195, 2185, 2185, 2185, 2190, 2198, 2197, 2197, 2199, 2191, 2197, 2199, 1962, 2192, 2200, 2201, 2203, 2193, 2193, 2193, 2198, 2206, 2205, 2205, 2207, 2199, 2205, 2207, 1972, 2200, 2208, 2209, 2211, 2201, 2201, 2201, 2206, 2214, 2213, 2213, 2215, 2207, 2213, 2215, 1982, 2208, 2216, 2217, 2219, 2209, 2209, 2209, 2214, 2222, 2221, 2221, 2223, 2215, 2221, 2224, 2224, 2224, 1993, 2226, 2226, 2216, 2226, 2227, 2229, 2217, 2217, 2217, 2222, 2221, 2223, 2233, 2232, 2232, 2234, 2224, 2232, 2235, 2235, 2235, 2005, 2237, 2237, 2225, 2237, 2238, 2240, 2226, 2226, 2226, 2227, 2227, 2233, 2232, 2234, 2245, 2244, 2244, 2246, 2235, 2244, 2247, 2247, 2247, 2019, 2249, 2249, 2236, 2249, 2250, 2252, 2237, 2237, 2237, 2238, 2238, 2245, 2256, 2255, 2255, 2246, 2246, 2258, 2247, 2257, 2259, 2259, 2259, 2039, 2261, 2261, 2248, 2261, 2262, 2248, 2248, 2265, 2250, 2250, 2250, 2256, 2255, 2257, 2257, 2258, 2270, 2269, 2269, 2271, 2259, 2269, 2272, 2272, 2273, 2273, 2274, 2274, 2274, 2058, 2276, 2276, 2277, 2277, 2278, 2278, 2260, 2278, 2279, 2281, 2261, 2261, 2261, 2262, 2262, 2263, 2263, 2270, 2269, 2271, 2271, 2272, 2288, 2287, 2287, 2273, 2273, 2290, 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\"marker\": {\"size\": 0.1, \"color\": [0.1666666716337204, 99.83333587646484], \"colorscale\": [[0.0, \"rgb(31, 119, 180)\"], [1.0, \"rgb(255, 127, 14)\"]], \"showscale\": true}, \"hoverinfo\": \"None\", \"showlegend\": false}], {\"title\": \"Breast Phantom\", \"width\": 800, \"height\": 800, \"scene\": {\"xaxis\": {\"showbackground\": true, \"backgroundcolor\": \"rgb(230, 230, 230)\", \"gridcolor\": \"rgb(255, 255, 255)\", \"zerolinecolor\": \"rgb(255, 255, 255)\"}, \"yaxis\": {\"showbackground\": true, \"backgroundcolor\": \"rgb(230, 230, 230)\", \"gridcolor\": \"rgb(255, 255, 255)\", \"zerolinecolor\": \"rgb(255, 255, 255)\"}, \"zaxis\": {\"showbackground\": true, \"backgroundcolor\": \"rgb(230, 230, 230)\", \"gridcolor\": \"rgb(255, 255, 255)\", \"zerolinecolor\": \"rgb(255, 255, 255)\"}, \"aspectratio\": {\"x\": 1, \"y\": 1, \"z\": 1}}}, {\"showLink\": true, \"linkText\": \"Export to plot.ly\"})});</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from skimage.morphology import ball\n",
    "\n",
    "breast_mask = ball(50)[:,50:]\n",
    "\n",
    "# just for 3d rendering, don't worry about it\n",
    "import plotly.offline as py\n",
    "from plotly.figure_factory import create_trisurf\n",
    "py.init_notebook_mode()\n",
    "from skimage.measure import marching_cubes_lewiner\n",
    "vertices, simplices, _, _ = marching_cubes_lewiner(breast_mask>0)\n",
    "x,y,z = zip(*vertices) \n",
    "fig = create_trisurf(x=x,\n",
    "                        y=y, \n",
    "                        z=z, \n",
    "                        plot_edges=False,\n",
    "                        simplices=simplices,\n",
    "                        title=\"Breast Phantom\")\n",
    "py.iplot(fig)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x124523cf8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "breast_alpha = 1e-2\n",
    "breast_vol = breast_alpha*breast_mask\n",
    "i_detector = np.exp(-np.sum(breast_vol,2))\n",
    "\n",
    "fig, (ax_hist, ax_breast) = plt.subplots(1, 2, figsize = (20,8))\n",
    "\n",
    "b_img_obj = ax_breast.imshow(i_detector, cmap = 'bone_r')\n",
    "plt.colorbar(b_img_obj)\n",
    "\n",
    "ax_hist.hist(i_detector.flatten())\n",
    "ax_hist.set_xlabel('$I_{detector}$')\n",
    "ax_hist.set_ylabel('Pixel Count');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "If we know that $\\alpha$ is constant we can reconstruct d from the image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1217fd940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "breast_thickness = -np.log(i_detector)/breast_alpha\n",
    "fig, (ax_hist, ax_breast) = plt.subplots(1, 2, figsize = (12,5))\n",
    "\n",
    "b_img_obj = ax_breast.imshow(breast_thickness, cmap = 'bone')\n",
    "plt.colorbar(b_img_obj)\n",
    "\n",
    "ax_hist.hist(breast_thickness.flatten())\n",
    "ax_hist.set_xlabel('Breast Thickness ($d$)\\nIn Pixels')\n",
    "ax_hist.set_ylabel('Pixel Count');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1240d76a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "fig = plt.figure(figsize = (8, 4), dpi = 200)\n",
    "ax = fig.gca(projection='3d')\n",
    "# Plot the surface.\n",
    "yy, xx = np.meshgrid(np.linspace(0, 1, breast_thickness.shape[1]),\n",
    "                       np.linspace(0, 1, breast_thickness.shape[0]))\n",
    "surf = ax.plot_surface(xx, yy, breast_thickness, cmap=plt.cm.jet,\n",
    "                       linewidth=0, antialiased=False)\n",
    "ax.view_init(elev = 30, azim = 45)\n",
    "ax.set_zlabel('Breast Thickness');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "We run into problems when the $\\alpha$ is no longer constant. For example if we place a dark lump in the center of the breast. It is impossible to tell if the breast if thicker or if the lump inside is denser. For the lump below we can see on the individual slices of the sample that the lesion appears quite clearly and is very strangely shaped."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x11ecfcf28>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1259a5a90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "breast_vol = breast_alpha*breast_mask\n",
    "renorm_slice = np.sum(breast_mask[10:40, 0:25], 2)/np.sum(breast_mask[30, 10])\n",
    "breast_vol[10:40, 0:25] /= np.stack([renorm_slice]*breast_vol.shape[2],-1)\n",
    "\n",
    "from skimage.util import montage as montage2d\n",
    "fig, ax1 = plt.subplots(1,1, figsize = (12, 12))\n",
    "ax1.imshow(montage2d(breast_vol.swapaxes(0,2).swapaxes(1,2)[::3]), \n",
    "           cmap = 'bone', vmin = breast_alpha*.8, vmax = breast_alpha*1.2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "When we make the projection and apply Beer's Law we see that it appears as a relatively constant region in the image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1244f49b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "i_detector = np.exp(-np.sum(breast_vol,2))\n",
    "\n",
    "fig, (ax_hist, ax_breast) = plt.subplots(1, 2, figsize = (20,8))\n",
    "\n",
    "b_img_obj = ax_breast.imshow(i_detector, cmap = 'bone_r')\n",
    "plt.colorbar(b_img_obj)\n",
    "\n",
    "ax_hist.hist(i_detector.flatten())\n",
    "ax_hist.set_xlabel('$I_{detector}$')\n",
    "ax_hist.set_ylabel('Pixel Count');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "And as a flat constant region in the thickness reconstruction. So we fundamentally from this single image cannot answer is the breast oddly shaped or does it have an possible tumor inside of it"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1259a5860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "breast_thickness = -np.log(i_detector)/1e-2\n",
    "fig, (ax_hist, ax_breast) = plt.subplots(1, 2, figsize = (12,5))\n",
    "\n",
    "b_img_obj = ax_breast.imshow(breast_thickness, cmap = 'bone')\n",
    "plt.colorbar(b_img_obj)\n",
    "\n",
    "ax_hist.hist(breast_thickness.flatten())\n",
    "ax_hist.set_xlabel('Breast Thickness ($d$)\\nIn Pixels')\n",
    "ax_hist.set_ylabel('Pixel Count');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x124844da0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "fig = plt.figure(figsize = (8, 4), dpi = 200)\n",
    "ax = fig.gca(projection='3d')\n",
    "# Plot the surface.\n",
    "yy, xx = np.meshgrid(np.linspace(0, 1, breast_thickness.shape[1]),\n",
    "                       np.linspace(0, 1, breast_thickness.shape[0]))\n",
    "surf = ax.plot_surface(xx, yy, breast_thickness, cmap=plt.cm.jet,\n",
    "                       linewidth=0, antialiased=False)\n",
    "ax.view_init(elev = 30, azim = 130)\n",
    "ax.set_zlabel('Breast Thickness');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Where does segmentation get us?\n",
    "\n",
    "\n",
    "- We convert a decimal value (or something even more complicated like 3 values for RGB images, a spectrum for hyperspectral imaging, or a vector / tensor in a mechanical stress field)\n",
    "- to a single, discrete value (usually true or false, but for images with phases it would be each phase, e.g. bone, air, cellular tissue)\n",
    "\n",
    "- __2560 x 2560 x 2160 x 32 bit = 56GB / sample__\n",
    "$$\\downarrow$$\n",
    "- 2560 x 2560 x 2160 x **1 bit** = 1.75GB / sample\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Applying a threshold to an image\n",
    "Start out with a simple image of a cross with added noise\n",
    "$$ I(x,y) = f(x,y) $$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x10aa79898>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1121aa0b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "nx = 5\n",
    "ny = 5\n",
    "xx, yy = np.meshgrid(np.arange(-nx, nx+1)/nx*2*np.pi, \n",
    "                      np.arange(-ny, ny+1)/ny*2*np.pi)\n",
    "cross_im = 1.5*np.abs(np.cos(xx*yy))/(np.abs(xx*yy)+(3*np.pi/nx))+np.random.uniform(-0.25, 0.25, size = xx.shape)\n",
    "plt.matshow(cross_im, cmap = 'hot')\n",
    "plt.colorbar()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "The intensity can be described with a probability density function \n",
    "$$ P_f(x,y) $$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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6yU3A3wHPTvLhHuqQJNFDEFTV66tqr6paAxwD/HNVHdd1HZKkhs8RSNLA9TpCWVWdB5zXZw2SNHQeEUjSwBkEkjRwBoEkDZxBIEkDZxBI0sAZBJI0cAaBJA1cr88RSNuCpXTeZgdsW2epHeX59R4PjwgkaeAMAkkaOINAkgbOIJCkgTMIJGngDAJJGjiDQJIGziCQpIEzCCRp4DoPgiR7Jzk3yQ1Jrkvymq5rkCTdp48uJu4F/rCqvpJkFXB5knOq6voeapGkwev8iKCqbq2qr7TTdwE3AHt2XYckqdFrp3NJ1gAHAhfPsmwdsA5gcnKy07qkriy1E7ah6auDwO39+9TbxeIkDwP+HnhtVd05c3lVbaiqqaqampiY6L5ASRqIXoIgyYNpQuAjVfWJPmqQJDX6uGsowPuBG6rqHV1vX5J0f30cETwd+M/As5Nc2X4c1UMdkiR6uFhcVf8CpOvtSpJm55PFkjRwBoEkDZxBIEkDZxBI0sAZBJI0cAaBJA2cQSBJA9drp3OSVp7tvQO2IfKIQJIGziCQpIEzCCRp4AwCSRo4g0CSBs4gkKSBMwgkaeAMAkkaOINAkgaur8Hrj0xyY5JvJFnfRw2SpEYfg9fvALwHeC6wH3Bskv26rkOS1OjjiOCpwDeq6ltVdQ/wd8ALeqhDkkQ/nc7tCXxn2utNwG/MbJRkHbCufXl3khuXsYbVwO3LuL4+rPR92C7qz5v7LmNJtovvwaiNt9Hv1YL7sMS6f2WURn0EQWaZVw+YUbUB2DCWApLLqmpqHOvuykrfB+vv30rfh5VeP2w7+9DHqaFNwN7TXu8F3NJDHZIk+gmCS4F9kjw2yU7AMcBZPdQhSaKHU0NVdW+S/wb8E7ADsLGqruu4jLGccurYSt8H6+/fSt+HlV4/bCP7kKoHnJ6XJA2ITxZL0sAZBJI0cIMIgiSPSHJOkq+3n3efpc3aJBcmuS7J1Ule0ketM2qatyuOJA9J8tF2+cVJ1nRf5fxG2Ic/SHJ9+zX/YpKR7nvuyqjdoSR5UZJK0vutgDONsg9JXtx+H65L8rdd1zifEX6GJpOcm+SK9ufoqD7qnEuSjUk2J7l2juVJ8pft/l2d5KCua6SqtvsP4C3A+nZ6PfDmWdrsC+zTTj8GuBXYrceadwC+CTwO2Am4CthvRpvfA97XTh8DfLTvr/Ui9uEwYJd2+sRtaR9Gqb9ttwo4H7gImOq77kV8D/YBrgB2b1/v0XfdW1n/BuDEdno/4Ka+655R3zOBg4Br51h+FPA5mmesDgYu7rrGQRwR0HRhcXo7fTrw2zMbVNXXqurr7fQtwGZgorMKH2iUrjim79eZwOFJZntgry8L7kNVnVtVP2xfXkTzXMm2YtTuUP6M5p+NH3dZ3IhG2YdXAO+pqu8DVNXmjmuczyj1F7BrO/1wtrHnkqrqfOB78zR5AfDBalwE7Jbk0d1U1xhKEDyyqm4FaD/vMV/jJE+l+e/jmx3UNpfZuuLYc642VXUvcAfwy51UN5pR9mG6E2j+M9pWLFh/kgOBvavqM10WthVG+R7sC+yb5IIkFyU5srPqFjZK/f8TOC7JJuCzwKu7KW3ZbO3vybLro4uJsUjyBeBRsyx6w1au59HAh4Djq+rny1HbIo3SFcdI3XX0aOT6khwHTAHPGmtFW2fe+pM8CHgn8LKuClqEUb4HO9KcHjqU5ojsy0n2r6ofjLm2UYxS/7HAaVX19iRPAz7U1t/n7+/W6P33eLsJgqo6Yq5lSb6b5NFVdWv7h37WQ98kuwJnA29sD9H6NEpXHFvabEqyI81h8XyHoF0bqTuRJEfQBPazquonHdU2ioXqXwXsD5zXnpF7FHBWkqOr6rLOqpzfqD9HF1XVT4Fvtx087kPTC0DfRqn/BOBIgKq6MMnONJ25bUunuObTe7c7Qzk1dBZwfDt9PPDpmQ3a7i4+SXOu7uMd1jaXUbrimL5fLwL+udqrT9uIBfehPbXy18DR29i5aVig/qq6o6pWV9WaqlpDc41jWwoBGO3n6FM0F+1JsprmVNG3Oq1ybqPUfzNwOECSJwE7A7d1WuXSnAW8tL176GDgji2nsjvT9xX1Lj5ozpt/Efh6+/kR7fwp4NR2+jjgp8CV0z7W9lz3UcDXaK5VvKGd9yaaPzbQ/MB/HPgGcAnwuL6/1ovYhy8A3532NT+r75q3pv4Zbc9jG7traMTvQYB3ANcD1wDH9F3zVta/H3ABzR1FVwLP6bvmGfWfQXMX4k9p/vs/AXgl8MppX//3tPt3TR8/Q3YxIUkDN5RTQ5KkORgEkjRwBoEkDZxBIEkDZxBI0sAZBBqUJHeP0Oa1SXZZ5u0+JsmZ7fTaba2HTA2bQSA90GuBZQ2Cqrqlql7UvlxLc2+8tE0wCDRISQ5Ncl6SM5N8NclH2ic7f5+mG/Jzk5zbtn1OO1bFV5J8PMnD2vk3Jflf7fxrkjyxnf+sJFe2H1ckWZVkTZJr26dj3wS8pF3+kjTjZEy0731Q2y/96n6+Mhoig0BDdiDNf//70fR3//Sq+kuafl4Oq6rD2j/IbwSOqKqDgMuAP5i2jtvb+e8FTmrnnQS8qqrWAocAP9rSuJqulP8HzbgLa6vqo8CHgd9tmxwBXFVVt49lj6VZGAQaskuqalM1vVReCayZpc3BtF0YJLmSpm+n6aOofaL9fPm0918AvKM9utitmi7C57MReGk7/XLgA1u5H9KSbDe9j0qLML2n058x++9DgHOq6tgF1vGL91fVKUnOprkOcFHbu+qcg9ZU1XfaHnKfDfwG9x0dSJ3wiEB6oLtoupiGpkfRpyf5VYAkuyTZd743J3l8VV1TVW+mOZX0xHnWv8WpNKeIPlZVP1vqDkhbwyCQHmgD8Lkk51bVbTQDz5yR5GqaYJj5h32m17YXhq+iuT4wc9S1c4H9tlwsbuedBTwMTwupB/Y+Km0DkkwB76yqQ/quRcPjNQKpZ0nWAyfitQH1xCMCSRo4rxFI0sAZBJI0cAaBJA2cQSBJA2cQSNLA/X/DYY7AyAkp0wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10aa81ba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax1 = plt.subplots(1,1)\n",
    "ax1.hist(cross_im.ravel(), 20)\n",
    "ax1.set_title('$P_f(x,y)$') \n",
    "ax1.set_xlabel('Intensity')\n",
    "ax1.set_ylabel('Pixel Count');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Applying a threshold to an image\n",
    "\n",
    "By examining the image and probability distribution function, we can _deduce_ that the underyling model is a whitish phase that makes up the cross and the darkish background\n",
    "\n",
    "Applying the threshold is a deceptively simple operation\n",
    "\n",
    "$$ I(x,y) = \n",
    "\\begin{cases}\n",
    "1, & f(x,y)\\geq0.40 \\\\\n",
    "0, & f(x,y)<0.40\n",
    "\\end{cases}$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1182d6dd8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax1 = plt.subplots(1,1)\n",
    "ax1.imshow(cross_im, cmap = 'hot', extent = [xx.min(), xx.max(), yy.min(), yy.max()])\n",
    "thresh_img = cross_im > 0.4\n",
    "\n",
    "ax1.plot(xx[np.where(thresh_img)], \n",
    "        yy[np.where(thresh_img)],\n",
    "         'ks',\n",
    "           markerfacecolor = 'green',\n",
    "           alpha = 0.5,\n",
    "         label = 'threshold',\n",
    "         markersize = 20\n",
    "           )\n",
    "ax1.legend();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Various Thresholds\n",
    "We can see the effect of choosing various thresholds \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10a0e1748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, m_axs = plt.subplots(3,3, \n",
    "                          figsize = (15, 15))\n",
    "for c_thresh, ax1 in zip(np.linspace(0.1, 0.9, 9), \n",
    "                         m_axs.flatten()):\n",
    "    \n",
    "    ax1.imshow(cross_im,\n",
    "               cmap = 'bone', \n",
    "               extent = [xx.min(), xx.max(), yy.min(), yy.max()])\n",
    "    thresh_img = cross_im > c_thresh\n",
    "\n",
    "    ax1.plot(xx[np.where(thresh_img)], \n",
    "            yy[np.where(thresh_img)],\n",
    "             'rs',\n",
    "               alpha = 0.5,\n",
    "             label = 'img>%2.2f' % c_thresh,\n",
    "             markersize = 20\n",
    "               )\n",
    "    ax1.legend(loc = 1);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Segmenting Cells\n",
    "\n",
    "- We can peform the same sort of analysis with this image of cells\n",
    "- This time we can derive the model from the basic physics of the system\n",
    " - The field is illuminated by white light of nearly uniform brightness\n",
    " - Cells absorb light causing darker regions to appear in the image\n",
    " - _Lighter_ regions have no cells\n",
    " - __Darker__ regions have cells"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1182b7e80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "from skimage.io import imread\n",
    "from skimage.color import rgb2gray\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "cell_img = rgb2gray(imread(\"../common/figures/Cell_Colony.jpg\"))\n",
    "fig, (ax_hist, ax_img) = plt.subplots(1, 2, figsize = (12,6))\n",
    "ax_hist.hist(cell_img.ravel(), np.arange(255))\n",
    "ax_obj = ax_img.matshow(cell_img, cmap = 'bone')\n",
    "plt.colorbar(ax_obj);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x117780518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from skimage.color import label2rgb\n",
    "fig, m_axs = plt.subplots(3,3, \n",
    "                          figsize = (15, 15), dpi = 200)\n",
    "for c_thresh, ax1 in zip(np.linspace(100, 200, 9), \n",
    "                         m_axs.flatten()):\n",
    "    thresh_img = cell_img < c_thresh\n",
    "\n",
    "    ax1.imshow(label2rgb(thresh_img, image = cell_img, bg_label = 0, alpha = 0.4))\n",
    "    \n",
    "    ax1.set_title('img<%2.2f' % c_thresh)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Other Image Types\n",
    "\n",
    "While scalar images are easiest, it is possible for any type of image\n",
    "$$ I(x,y) = \\vec{f}(x,y) $$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>I_detector</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>x_vec</th>\n",
       "      <th>y_vec</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.032959</td>\n",
       "      <td>-6.283185</td>\n",
       "      <td>-6.283185</td>\n",
       "      <td>-0.707062</td>\n",
       "      <td>-0.707062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.020419</td>\n",
       "      <td>-4.886922</td>\n",
       "      <td>-6.283185</td>\n",
       "      <td>-0.613892</td>\n",
       "      <td>-0.789290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.011030</td>\n",
       "      <td>-3.490659</td>\n",
       "      <td>-6.283185</td>\n",
       "      <td>-0.485596</td>\n",
       "      <td>-0.874073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.142902</td>\n",
       "      <td>-2.094395</td>\n",
       "      <td>-6.283185</td>\n",
       "      <td>-0.316192</td>\n",
       "      <td>-0.948575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-0.125128</td>\n",
       "      <td>-0.698132</td>\n",
       "      <td>-6.283185</td>\n",
       "      <td>-0.110418</td>\n",
       "      <td>-0.993759</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   I_detector         x         y     x_vec     y_vec\n",
       "0   -0.032959 -6.283185 -6.283185 -0.707062 -0.707062\n",
       "1   -0.020419 -4.886922 -6.283185 -0.613892 -0.789290\n",
       "2    0.011030 -3.490659 -6.283185 -0.485596 -0.874073\n",
       "3    0.142902 -2.094395 -6.283185 -0.316192 -0.948575\n",
       "4   -0.125128 -0.698132 -6.283185 -0.110418 -0.993759"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "nx = 10\n",
    "ny = 10\n",
    "xx, yy = np.meshgrid(np.linspace(-2*np.pi, 2*np.pi, nx), \n",
    "                      np.linspace(-2*np.pi, 2*np.pi, ny))\n",
    "\n",
    "intensity_img = 1.5*np.abs(np.cos(xx*yy))/(np.abs(xx*yy)+(3*np.pi/nx))+np.random.uniform(-0.25, 0.25, size = xx.shape)\n",
    "\n",
    "base_df = pd.DataFrame(dict(x = xx.ravel(), \n",
    "                            y = yy.ravel(), \n",
    "                            I_detector = intensity_img.ravel()))\n",
    "\n",
    "base_df['x_vec'] = base_df.apply(lambda c_row: c_row['x']/np.sqrt(1e-2+np.square(c_row['x'])+np.square(c_row['y'])), 1)\n",
    "base_df['y_vec'] = base_df.apply(lambda c_row: c_row['y']/np.sqrt(1e-2+np.square(c_row['x'])+np.square(c_row['y'])), 1)\n",
    "\n",
    "base_df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x1240202b0>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x124020a90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "sns.pairplot(base_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.quiver.Quiver at 0x126d90588>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x127972828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax1 = plt.subplots(1,1, figsize = (8, 8))\n",
    "ax1.quiver(base_df['x'], base_df['y'], base_df['x_vec'], base_df['y_vec'], base_df['I_detector'], cmap = 'hot')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Applying a threshold\n",
    "\n",
    "A threshold is now more difficult to apply since there are now two distinct variables to deal with. The standard approach can be applied to both\n",
    "$$ I(x,y) = \n",
    "\\begin{cases}\n",
    "1, & \\vec{f}_x(x,y) \\geq0.25 \\text{ and}\\\\\n",
    "& \\vec{f}_y(x,y) \\geq0.25 \\\\\n",
    "0, & \\text{otherwise}\n",
    "\\end{cases}$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.quiver.Quiver at 0x1188e1320>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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CebNn63oGwNqI2adoUcz57DO069TJEKeFjDh5EpWqVEHnbt0s67775Rf8vH074m/fVpjMNocPHsTnX3+NszExyJ8/PwCgSrVq6NS1K65fv27onSSJlBGRXF+CgoIkzaL588UDsLrUq1lTFs2fL9evXxc9MpvN8tILL2SZP7+mycRx48RkMqmOalVqaqoElCyZKffbo0bJrp07JSYmRnXEh/L18pLCbm5Sp1o1S/7Q//1PdSybzZo2TRISEmTd6tWW/Cu++UZ1LLtdvXrVkr9/z54iIrJu9Wo5euSI4mRE+gAgVGzsSOV7ZQ8cPBgvNW9u9bqD+/dj9NChqP3UUwj93/9yOdnDaZpmddQMAC82a4bNf/2FCVOmwMlJ+ctslbOzM9p16pRp/Y5t21A7OBje3t4KUtnHt3RpLFy6FFPTnc5y0bx5ChPZ581x4+Du7o6AwEDLuggre2rr3emICMvX5QMCAAAdu3RBpcqVVUUiMizljaFpGhYuXQqfokWtXj/qrbew78QJBNepk8vJbFOnbl3LoUfphf77L/Lnz6/bUk6TNp3dtmNHhDRpAuDu9OTEd95RGctmH376KTp37YrGL76IwAoVAADfrV5tmB3Y0qSVGZCx5Iwi/WFf/uk+ZBCR/XTRGkWLFsXnX39t9bpfNm7U/ZvspOnT4ezsDAAoV748AOD69eto2bgxDu7frzLaQ9WpWxfl/f0xcdo0LP7mGxQuXBjA3b2Ct23erDjdwz3foAEAwMnJCQOHDgVw9yQdSxYvVhnLbgULFrR8OLV2bLPenUr3YcI/3YcMIrKfLooZuDv1+9qwYZbLaUV34tgxvPD00/jhu+9URXuoChUr4tV+/ZAnTx5s/+cfy/SwEcpZ0zQsX7cOgRUqoETJkljw1VeW6wb17o2YmBiF6ezTvVcvFChQAADw5cKFSE5OVpzIPmnT2acjInS905016T9MlGcxE+WIbooZAKbMnIlKVaoAANZs2GCZWr19+zZ6duqEcWPG6PYEGOMmTkSLNm1QtGhRLFmxwlDlXKNWLcvXrdq2RZ+BAwHc3Tt7cN++himJggULokefPgDuZjfa32tOK7SbN2/i6tWritPYJ236vXCRIvDy8lKchsjgbN1LzJFL+r2y73fowAEp6uEhd+7ckdTUVJk0fnyGPYZfbNBAoi5fzvkuco9A+r3Hk5OTpUenTpbcfoULy4F9+xSms93t27elZsWKluyfL1igOpLNwk+etOQOqVtXdRy7zJw61ZL9n127VMexi6+XlyFfc6LcAiPtlX2/qtWrY8X33yNv3rxwdnbGxKlTsXbjRnh6egK4ewKM52rXxu6//1acNLP0I4U8efIYbuScxsPDA1+vWmU5YcS40aNx9MgRxalsExAYiBebNQNw95hyPe7NnxWj7gB2/fp13LhxAwB3/CJyBN0VMwA0eemlDJebt2qFnWFhqFajBoC7Z3ZqHhKCBXPn6nqa1cjlXKNWLUyaPh3A3dNc9u3WzTCniHx9+HDL10Y6dMqoh0xx+zKRY+mymK0p7++P7bt3o3uvXgCA1NRUvDVyJHp37YrbOj5DkpHLedioUYY8hCr9oVPfr1mj+7360xh1xJw+K0fMRDlnmGIGgHz58mHR0qWYu2gRXF1dAdx9423ZuDHMZrPidFnLqpz1voOPk5NTpkOo/vrjD7WhbGDUQ6eMeshU+tE9D5UiyjlDFTNw9/CefoMGYcvOnZZzJQ8fM0b3J/K4v5zHjBtniDNrpT+EasjIkahTt67iRLbp3qsXvH180LNPH7Rs00Z1HJu1atcO3V59NcO5s/Xu6WeeQf/XX0dIkyYcMRM5gKZiG21wcLCEOuAPDFy9ehU///gjevfv74BUuSMlJQVbf/sNzVu1Uh3FLkePHEHle4eyGUViYqLlj6QQEamkaVqYiATbdFsjFzMREZER2FPM+p7/JSIiesKwmImIiHSExUxERKQjLGYiIiIdYTETERHpCIuZiIhIR1jMREREOsJiJiIi0hEWMxERkY6wmImIiHSExUxERKQjLGYiIiIdYTETERHpCIuZiIhIR1jMREREOsJiJiIi0hEWMxERkY6wmIkUOnrkCJKTk1XHeCQO7NunOgKRIbGYiRQK/fdfLP3iC9UxHC4iPBwfz5ihOgaRIbGYiRS6EhWFGZMn4/bt26qjONSU997DxchI1TGIDInFTIYRHR2NUxERqmM41JWoKMRER2PBJ5+ojuIw+/fuxfdr1uBKVJTqKESGxGImw/D29kanVq2wf+9e1VEcJq285n74Ia5evao4jWNMGjcOwN3nJiKK0xAZj8OKWdM0Z03T9mma9rOj7pMoPScnJ1R46ik0a9gQf/z+u+o4DpFWzLdu3cLsx2Cb7J87dmDb5s0AgISEBMTFxSlORGQ8jhwxjwBwzIH3R5RJg5AQxMXFoX2zZvjhu+9Ux8mxK5cvW77+fP58XDDwdlkRwaR33smwjtPZRPZzSDFrmuYLoAWALx1xf+RYJpMJUyZMQPjJk6qj5FiDkBAAQHJyMl7t3BlfLlqkOFHOpC+upKQkfPD++wrT5MxPP/6I//79N8M6FjOR/Rw1Yv4EwFgAZgfdHzmQs7MzataujeDKlTHi9dcRlW6UZjSVq1RBEW9vAHdHaCNffx0fTJ5syG2Zt2/fzrQ39vKlS3Hi+HFFibIvNTUV748fn2k9i5nIfjkuZk3TWgKIFpGwh9xuoKZpoZqmhcbExOT0YclOLdu0QXCdOvhq0SJUDwjA++++i5s3b6qOZTcnJyfUb9gww7ppEydi9LBhMJlMakJlU/SVK5nWmc1mTH73XQVpcmbV8uU4cSzzliwjfwgkUsURI+bnALTWNO0sgNUAGmma9u39NxKRxSISLCLBPj4+DnjY3LV+3Tp8vmABrlh5MzUCTdMweeZMAMCdO3fw4bRpqObvjwWffIKkpCTF6eyTNp2d3uIFC9CnWzdDPZesRpMbvv8eYf/9l8tpsi8xMRHTJk60el00R8xEdstxMYvIOyLiKyJlAbwC4HcR6ZHjZDrTsk0brFu5EoElS6JF48ZY+sUXuHbtmupYdnmufn00b9XKcvn6tWt46403UKtiRaz+9luYzcbYEmGtmAFg/dq16NCihWH2BLY2mixcpAgAYOJ9O1Hp2ZcLF+JCZKRlE0N6nMomsp+S45hTU1NVPGyOuLq6YtnatShcpAj+/P13DBs4EP7Fi6N98+ZY8c03hpkWnjh9OjRNy7Du/Llz6N+zJ56rXRtbNm3S/fbaik89hWLFi2daX7xECVy/dg0fTZ+u++cA/H9pde7WzbLulR49cCY6Gr369zfEBz8RQdHixbH3+HF8vWqVZf3LLVrA09OTxUyUHSKS64sTIFXLl5c+3brJZ59+KqH/+58kJSWJEezYvl0KODmJB5Bh8XJ1lS5t2sialSslLi5OdcwHGtS7d6b86Zch/ftLcnKy6pgP1OuVVzLlnvvRR6pj2WXOrFmy8YcfJCUlRbzz5hUPQJo8/7zqWNn28YwZlv+L7Vu2SER4uAzs1Ut1LCJdABAqNnakkmIuVbJkpjfVwm5u0vjZZ+XtUaPk+7VrJfL8+Uf4EuVM+jcga4t33rzSp1s3uX79uuqoVp0/d04Ku7llyv1yw4ayf+9eMZvNqiM+1Feffy4egDRv1MhSasXy55dLFy+qjmazlJQUy9eNn31WPAAp6uEhqampClNlX49OnSw/S1evXhWRjM+R6ElmTzErmcouXqIExtw7bV+apKQk7Nm9G/Nmz8arnTvjqdKlUcHXF2OGD9fdn8V7Y+xYtGzTxup1mqahXadOmDB1Kry8vHI5mW38SpfGa8OGZVq/Z9cuXLxwIdNUtx41CAmBp6cnvly+HGPv7cV8+/ZtjBszRnEy27m4uFi+rhkUBACIj4/HyRMnVEXKkf1hdw/MKFuuHIrc21ae/jkSkW2UnSt74tSpGD569ANvU+/55/HOxIlwdXXNpVS20TQNi77+GuX9/TNd5+rqiuBnnkGZsmVzP5gdRr/zDjw9PQEAVatXBwCkpKSge4cO+PWnn1RGs4l/QAAWL1uGEiVLYvjo0QgIDAQArFu1Cn/u2KE4nf1q3Stm4P8LzkiuX7+OM6dPA/j/DxlElD3KilnTNEz78EOrIzcAyJs3L+o3bGgpD70pVKgQVnz/PfLmzZthfVJSEkYNGYIubdpAz8drFy5cGKPv7fm7duNGvHnv5BBGKWdN09CidWsAgJubGz6aN89y3eihQ5GSkqIqWrakL7N9BizmA+n+sEgtFjNRztg65+3IJSgoyDLvbjabZdigQVlur61dqZJs+vln3W73XPHNN5asb48aJYXy5LFcLl+8uGzbvFl1xCzFx8dLtw4dROTu/8Ok8eMt2QvlySO/bNyoOKF9urZvb9gdwYy+A9j9O34RUUbQ+85f6YtZRMRkMslrffpYfrHr1qiRoeDSdvLZv3evo18rhxg2aJAUcXeX1NRU2RcWJjUrVsyQfezIkZKYmKg6plW3b9+2fG30cj5/7pxhdwQTMfYOYNZ2/CKi/2e4YhYRSU1Nlb7du4sHIF99/rmciojI8MvuAUh+TZOBvXrJhchIR75eOZaQkCBD+ve3XI6Pj880C1C3Rg05euSIwpS2MXo5z5o2zZK9d9euquPYZfSwYZbsRvhZSa9q+fLiAUiVcuVURyHSJUMWs8jd6bwenTrJmhUrLOv27N4tjerVy3Q40qTx4+XWrVs5frEcxdphIRt/+EH8ihSx5C7i7i6fL1ig22n5NEYu58TERKkRGGjJ/sfvv6uOZLNvv/7aknvlsmWq49js2rVrltzdO3ZUHYdIlwxbzCIiycnJmY5hNpvNsn7dOsun8rSlbNGi8uWiRbo+VvLSxYvSonHjDLk7tWol0dHRqqM9kJHLeetvv1lyB1WurPuTpaQ5fOiQJfebI0aojmOz37duteT+6IMPVMch0iVDF/ODJCYmyvw5c8TXyytD0b3apUu27i+3mEwm+eTDDzNsN69ZoYKuP1CIWC/niPBw1bFskn5HsM8+/VR1HJsYdQcw7vhF9HD2FLOyw6Wyw83NDUNGjsTBU6cwbNQo5MmTBwDQe8AAxckezMnJCSPGjMGOPXsQWLEiAGDsu+/q/uQLmqZhwpQplkOp3p08Gf4BAYpT2WbmnDkoWLAgho8ejR69e6uOYxMXFxd0790bg0eMwOvDh6uOY7OGjRvjnYkT8XKLFqhRu7bqOESGp90t8twVHBwsoaGhOb6fM6dP44d16zDqrbcckCp33LlzB9+tXo2effoY4gxbwN1ZlV07d+L5Bg1UR7FLbGwsChUqpDoGERE0TQsTkWCbbmvkYiYiIjICe4rZUFPZREREjzsWMxERkY6wmImIiHSExUxERKQjLGYiIiIdYTETERHpCIuZiIhIR1jMREREOsJiJiIi0hEWMxERkY6wmImIiHSExUxERKQjLGYiIiIdYTETERHpCIuZiIhIR1jMREREOsJiJiIi0hEWM1EuExHVEYhIx1jMRLns4P79OHzokOoYRKRTLGYiBfp264bExETVMYhIh1jMRLnMzd0dRw8fxqRx41RHISIdYjET5TJ3d3cAwPw5c7Bj2zbFaYhIb1jMRLksrZgBYGCvXrh+/brCNESkNyxm0iUReWz3XnZLV8yXL13C8EGDHtvnSkT2YzGTLmmahmmTJuGvP/5QHcXh3NzcMlz+8bvvsGr5ckVpiEhvWMykW63btUOLRo3QvnlzHDpwQHUch7m/mAFg9NChOHvmjII0RKQ3LGbSreo1a6Jzt27YsmkTnq1VCwNefRXnzp5VHSvHnJ2dkSdPngzr4uLiMKBnT6SmpipKRUR6wWImXXtvyhTkyZMHIoJVy5ejVsWKeHvUKFy9elV1tBxJvwNYmn927cLsmTMVpCEiPWExP6bOnzv3WIy+ypYrhwGDB1suJycnY/6cOaju749Z06YhPj5eYbrsc7NSzAAwfdIkhP33Xy6nISI9YTE/pmJv3EDV8uXRqVUrzJs9Gwf27YPZbFYdK1veHD8eBQoUyLDu1q1bmPzuu6geEICvPv8cKSkpitJlT9p25rQpbVdXVxw7dw6///MPTCaTymhEpBiL+TFVvWZNLF79RUnvAAAgAElEQVS2DL9v3Yp3Ro/Gc7Vro4y3N15p1w6fffopjhw+bJhDdHx8fDDizTetXnclKgojXnsNvbt2xZ07d3I5Wfa5u7ujZ58+GP/++wDuzgTs+usv1A4ORp26dRWnIyKVNBVvzsHBwRIaGprrj2uvq1evIvLcOfiWLg1vb29omqY6kt02rF+Pnp06WR0te/v4oH7DhmgQEoIGISGoULGibp/j7du3UT0gANFXrmRYX7N2bXz57bd4qlIlRcmyZ/6cORg8YgTOnT2Lav7+AIAWrVtjzYYNipMR0aOgaVqYiATbdFsWc9bMZjOmv/8+ZkyeDHd3d5Ty9UUpPz/4lS6NUn5+8E1bSpeGr58fChYsqDqyVUu/+ALDBg584G1KlymDr1ev1vVo7YuFC/FGuu3NaWbMno2hb7yhIJFj1A8Oxr6wMLi6uuJMdDQ8PT1VRyIiB7OnmC1nWMrNpUJgoOzauVPC/vtPDh86JOEnT0rk+fMSHR0tt27dkqSkJDGbzaIXa1aulMJubuIBPHApUbCgvPTCC3LlyhXVkTOZMWVKlrn79eghcXFxqiM+VHJyslQPCBAPQELq1pX8mmZ5DvNmz1YdL9s+njHD8jxWLV+uOg4RPQIAQsXGjlRSzE4PKTgPQIp6eMjOP/98hC+Tff63Z4+UK1bsgZlrVqwoEeHhqqNaZTabZdTQoVZzF8ufX+Z+9JEkJyerjvlQ369dKx6A7N+7V1YuW/ZYlPPpU6csz6Fz69aq4xDRI2D4Yi7i7i6/b936CF+i7Ik8f17q1qiRZe4ubdtK2H//qY6ZJZPJJL1eeSXL/EGVK8ufO3aojvlAZrNZ+nTrZplReVzK+fmgIPEAxMvVVWJjY1XHISIHs6eYleyVXT4gAN4+PlleX6BgQfyxfTsO7Nunqz2Hff38sPXvv9GybVur1//8449o8PTTaPzss1i7ahWSk5NzOeGDOTk5YfE336BR06YAgNrBwZg4bRry5s0LADh+9Ciah4SgT7duuHzpksqoWdI0DQuXLLHspNa1Z08s/uYby+W3R43C/DlzVEbMlnadOgG4u3f2pp9+UpyGiJSytcEduQQFBUlUVJR0aNHioVPa1fz9ZeI778j+vXt1s93ZZDLJxHHjMuSs6OeXKbt/iRLyweTJEhUVpTpyBrdu3ZL6wcHSpU0bERE5d/asvNKunWGnt0WMP3LmdDbR4w16n8oOCgoSkbvTkl8sXCjeefNa3pRKenpKiYIFDVHSK5ctEy9XV/EA5PSpU7Jl0yZp16xZptxerq7Sv2dPXU1zR0dHy5xZszKs27Jpk2XnKiNNb6cxejlzOpvo8WWYYk5z4vhxy5tScJUqkpiYKL9s3Cj9evTQfUn/s2uXlPHxkQP79lnWnTxxQsYMHy7FCxTIlLtRvXqyZuVKSUpKUpY5jbXXLTExUWZNm5bhw5IHIL27dpVLFy8qSGkfI5cz984menwZrphFRJKSkmTS+PFS1MNDTCaTZX1aSffv2TPLkp46caIjXrdsO3f2rJw+dSrT+ps3b8pnn34qNQIDM2Xu3rGjgqS2O3f2rHRt3z5D5kplykhKSorqaA91fzn/b88e1ZFswulsosdXrhYzAD8AOwAcA3AEwIiHfY+1Yk6za+dOuXnzptXrsirp3X//nb1XKpeYTKZM09wb1q9XHcsm6ae3v1y0SHUcm6WV8weTJ6uOYpdXu3SRKRMmyJHDh1VHISIHsqeYc3zmL03TSgAoISJ7NU0rACAMQFsROZrV9zjizF9JSUnYvmULtm3ejI8+/RROTsY47Xf4yZNYuWwZxk+aBBcXF9VxbJKUlIQV33yDXv36wdnZWXUcmx0+dAhVq1VTHYOISO0pOTVN2wBgvohszeo2RjklJxERkSPYU8wOHWZqmlYWQC0A/1q5bqCmaaGapoXGxMQ48mGJiIgeGw4rZk3T8gP4HsBIEbl1//UislhEgkUk2OcBJxchIiJ6kjmkmDVNy4O7pbxCRNY74j6JiIieRDkuZu3uuRC/AnBMRGbnPBIREdGTyxEj5ucA9ATQSNO0/feW5g64XyIioidOjo/XEZG/AWgOyEJERPTEM8bBv0RERE8IFjMREZGOsJiJiIh0hMVMRESkIyxmIiIiHWExExER6QiLmYiISEdYzERERDrCYiYiItIRFjMREZGOsJiJiIh0hMVMRESkIyxmIiIiHWExExER6QiLmYiISEdYzERERDrCYiYiItIRFjORA4mI6ghEZHAsZiIH+urzz7F+3ToWNBFlG4uZyIHaduyIof37o+Ezz+DPHTtUxyEiA2IxEzmQt7c33njrLYT99x9aNGqEti+/jIP796uORUQGwmImcrDBI0ageIkSAIBtmzfj2Vq10K9HD5w9c0ZxMiIyAhYzkYN5eHhg3KRJGdatWbECtSpWxNiRIxETE6MmGBEZAouZ6BF4tW9fBFaokGFdSkoKPps7F9X9/TFz6lTEx8crSkdEesZiJnoEXFxcMOmDD6xeFxcXhynvvYfmISG4EhWVy8mISO9YzESPSOt27fD0M89kWl+0WDFs27ULO/bsQbHixRUkIyI9YzETPSKapmHyzJmZ1kdfuYIV33yjIBERGYGL6gBEv/3yCy5dvAh3d3e4urnB3d0d7u7ucHN3h9u9y/d/7e7ujrx586qO/lD1X3gBLzVvjs2//ooq1arh7OnTiI+Px9LFiwEAcxcuhJMTPx8T0f/TVJyhKDg4WEJDQ3P9cUmf4uLi8NbIkVi2ZInN3zNl5ky8MXbsI0zlOIcPHkS9mjXxxbJl8CtTBu2bNbPs+NVn4ECWM9ETQNO0MBEJtuW2HDE7yJ07d3Dnzh14e3urjpKBiOD69eu4EhWFK1FRiI6KQtTly5bLpcuWxYQpU6BpmrKMBQoUwGdffYWXWrTAsAEDcP369Qfe3kilDABVq1dHr/790axVK3h6emL9pk2WcubImR6VXzZuxKrly1GseHHLUrxECcvXPkWLwsVFXxUQHx+PhIQE3b2P5jZdjJhNJhMiwsNx6MABHD5wAOEnT+KThQvh4+OT69kexGQyIfL8eYSfOIHwkycRfuIEIu79e/3aNewMC0PFp55Slu/PHTuwbtWqDOUbfeUKUlJSrN7e28cHu/buRSlf31xOmrXLly7htT59sH3LFqvXOzk5oVnLlmjXqROat26NggUL5nLC7ElKSoKbm5vl8q6dOzlypkfKZDKhQ4sW2LZ5s9XrNU1DEW/vDKX9dN266DNggLLCTk5ORkjduog8dw4BFSogsGJFy7+BFSvCPyAA7u7uSrJlRUTwzujRSE5ORrUaNVC1enVUrloVHh4eGW5nz4hZSTE/9dRTMmLIEBw+cACHDhzA0cOHkZiYaLl+6qxZGPnmm7meK01KSgrC/vvPUrppJXw6IgJJSUlWv+fDTz/F68OG5XLSjEQEv2/diglvv40D+/Y99PZ9Bw3CkJEjEVihgq4KwWw2Y9H8+Xhv7NgsX28AcHNzQ5OXXkL7zp3RrFUrw5R0GpYzPUpRly9j+5YteK1Pn4f+URVvHx+Mffdd9Bs0KMMHSBWOHT2K52vXtvq7r2kaSpcpk6G0K1SsiJpBQShcuLCCtHcdOnAA9YODkZqaaskZEBiIqveKulqNGmjRurW+i9lZ0ySr3XYKFSqEb9asQemyZVHK1xf58uXL1Wxp9uzejU8+/BA///jjQ2+raRrad+6MgAoVEBAYiPIBAfAPDESRIkWUTBGbzWasX7cOU959F6ciIh56+/z586N6rVqoFRR0dwkO1kVZHz1yBP26d8ehAwcs66pWr47DBw9muq1RS5rlTI4Qdfky9oWFYW9oKPaHhWFfWBiiLl9+6Pflz58fI958E0PfeAMFChTIhaSZ3blzB6cjIhARHo7TERE4FR6OX3/6CTHR0Q/93irVquGNsWPRoUsX5MmTJxfSZpSamoqoy5dxITISUydMwB/bt2d523jAuMV8v8KFC6OUnx9K+fpa/vX180NJX9+76x5xeZ84fhyffvQRVi5bluWUcFY8PT3hHxgI/3tlndulnZKSgmVLluCD99+36Zc0Pb2UdVJSEqa89x7mfvQRRASHTp2C2WzGD+vW4Yd166zODBitpFnOZI/slnB6rq6uGDB4MMaMG5crmwytle+pe/9evnTJ7vur37Ah3hg7Fk1ffvmRvY+mL92LFy7g0oULlq8v3vs36vJlmM1mm+7PnmKGiOT6UjB/fvEAHLasX7dOHrVLFy/Ku2PHSomCBTM9vqeLi92Z582e/cgzp4mPj5ePZ8yQUoUKWR4/uEoVWbZkibwxZIiE1K0rRdzdH5p5xOuv51rm+/3x++9SwddXtm3enGF9RHi4fDh9ujxbq5bVzA2eflpRYvv8/ddfUtTDw5L7l40bVUciHfrtl18e+nuaX9Ok1lNPSd/u3WX+nDkyqHdvy3UFnJxkUO/ecu7s2VzLfOL4cbvfH629p+bXNOnWoYP89++/jzxzfHy8FHByclhHVSlXTgCEio0dqWznr6+XLMHnCxZg9fLlSEhIsFz3UvPmCGnS5O6nknSfTC5fugSTyWT1/rb+/TfqPfdcrmS/efMmlnz+ORZ88onlU+qLzZphycqVdz8J3vsUmP5T4VUrf7Rg5fr1aN2uXa5kTnPjxg3MmTkTn82dC7PZjAs3blhmG1JTU3H86FHsu/cJfH9YGA7u359h2//cRYvQb9CgXM2c3o0bN3Dp4kVUqVrV6vWnIiIyjaQnTJ2KsePH52bMbEsbOQ8fMwbj7/sjGEQAcOniRVRIt7OmpmkIrFgRtYKCUDs4GDWDglC9Zs0M09LtmjXD1t9+Q8s2bTBh2jRUrlIlVzMnJibCJ1++TNu58+XLZ5lBTD+b6B8QgI0//IDRQ4cCuDsD1q1XL4wYMwYBgYG5ltvXywuxsbFWryvi7Q3f+2Zyb928idn3nVCoUdOmeG3YMLzUvDlcXFz0PZWdfq/sGzduYPmSJVi8YAHOnjmDwAoVsPf48UzTEyaTCVeionDx3nTCpXvFfSEyErM++cTyZ/ZyS1JSElZ/+y0++fBDnDl1Cmeio+Hl5WX1trGxsZlK++0JE1De3z9XM6e5dPEiZkyZgnYdOyKkSZMsb3d/WQ8YPBiVKlfOxaTZl1bS7Tt3VvY6Z8f5c+dQukwZ1TFIp0QEIwcPtuzwdH8J3y8xMRHd2rfHW++9h2fq1cvFpBkNGzQIXl5elk17/gEBKF6iRJbT0C83bIhD+/djwODBeH34cCWnrh09bBjMZnOGzae+fn4oWaqU1T3D3x41CvPnzEH+/PnRvXdvDBwyJMNROrrfK9vaCUZMJhM2//orFs2bhwlTpyK4Tp1cz5UdZrMZv2zciJKlSiHo6adVx7GL2Wzmdkyix5jZbIamaUrPU2CvhIQEfLVoEV7t10/3+4ekSU1NRYvGjdG2Y0d079XLam5DFnN6KSkpSvawIyIispfJZIKmaQ8c6Bj+zF8sZSIiMgpnZ2eH3h/nMYmIiHSExUxERKQjLGYiIiIdYTETERHpCIuZiIhIR1jMREREOsJiJiIi0hEWMxERkY6wmImIiHSExUxERKQjLGYiIiIdYTETERHpCIuZiIhIR1jMREREOuKQYtY07WVN005omhahadrbjrhPIiKiJ1GOi1nTNGcACwA0A1AZQFdN0yrn9H6JiIieRI4YMdcBECEip0UkGcBqAG0ccL9ERERPHEcUcykAkekuX7i3LgNN0wZqmhaqaVpoTEyMAx6WiIjo8eOIYtasrJNMK0QWi0iwiAT7+Pg44GGJiIgeP44o5gsA/NJd9gVwyQH3S0RE9MRxRDH/ByBQ07Rymqa5AngFwEYH3C8REdETxyWndyAiqZqmDQWwGYAzgCUiciTHyYiIiJ5AOS5mABCRXwH86oj7IiIiepLxzF9EREQ6wmImIiLSERYzERGRjrCYiYiIdITFTEREpCMsZiIiIh1hMRMREekIi5mIiEhHWMxEREQ6wmImIiLSERYzERGRjrCYiYiIdITFTEREpCO6K+abN2/iQmSk6hh2ExHVEYiIDM+I76VJSUk4FRHhsPvTTTEfO3oUIwcPxlN+fjCbzXZ9r8r/yIjwcAwbNAh//fGHXd+n+ocvJSUFUZcvK81ARI9WYmIioqOjVcew6/0uMTERr7Rti9+3blX6PmnPY7u6uqJHx45o37w5tmzaZHeH3c8hf485u0wmEzb9/DMWzZuHP7ZvBwDUb9gQpcuUsdzm1q1buBAZiUsXLuDihQuWry9ERuLihQu4GBmJv0JDEVihQq5mD/3f/zBn1ixsXL8ehQoVwsfz5mW6zc2bN3E6IgIR4eE4FR6O0xEROBUejlMREfju558RXKdOrmYGALPZjO/WrMHU997D0lWrULxECau3i42Nxf69e7EvNBT7wsKwPywM8774Ai+EhORyYvtdiYrCj99/j/Vr12LitGl49vnnVUey2dqVK9GiTRt4eHiojmK3NStWoFW7dsiXL5/qKDZJSUnBSw0aoEGjRujQuTOqVq8OTdNUx3ogk8mEGoGBCKhQATWDglDr3uJXurTV7K6urmj63HPo1K0bho8ejYIFCypIDVQtXx4FPT1RPiAAAYGBKB8QAP/AQPgHBKB4iRIZsufNmxdu7u5o/eKLqFGrFkaOHYt2HTvCxSV36+qZ6tVxJz4epfz8UMrXF75+fih5799Svr4o6esLHx8fODk5QdM0vNKjB8a/+Sa2bNqEgMBADBgyBD1694anp6f9Dy4iub7UqFFD5syaJZXLlhUPIMPyTPXq0vrFFyWocmUpXqBApuutLb9v2ya5wWw2y+Zff5WXGzbM8PjNGzWStatWyYwpU2TAq69Ko3r1pIyPzwMzr/7221zJnD77lk2bpF7NmuIBiF/hwpKamioiIjdu3JAd27fL7JkzpWfnzlLN399q5jmzZuVq5vvt/PPPLP+voy5flkXz58uLDRpIfk2zZB49bFgup8y+D6dPFw9AmoWEyO3bt1XHscsHkyeLByAtmzSR+Ph41XFssm3z5gw/3zUCA2XiuHFycP9+MZvNmW4fGxsr82bPFpPJpCDtXceOHrX6u1na21vavPSSTBw3Tn78/ns5d/as5Tn069HDcpv5c+ZIQkJCrma+cePGA98Li3p4SN0aNaRbhw4y4e235esvv5QJb7+d4TaVy5aVhfPm5drPltlsliLu7g/tHi9XV6lSrpy82KCBtH7xRavPbeTgwXLs6FEBECo2dqSSYnZJ98aZ3cXL1VWqli8vLzZoIDv//PMR/heJJCcny6rly6VOtWo5zl3S01PqBwfL+nXrHmnm9Pbs3i0vvfBChhyVypR5YAnfv1QqU0bmzZ6da5nTS0pKkglvvy35NU127dxpWX/50iVZOG9epjJOWwo4OUmfbt2UZLZXWil7AFLQ2Vl+37pVdSSbXb9+XSr4+lryG6Wcl37xRZYf/tNK+sC+fZaCM5vNUtLTU1o2aSIXL1xQknnP7t1St0YNKejs/NDf2bSyvv93/6nSpWX50qWWD+aP2rmzZ+WlF16QgJIlc/z+6VekiEybNEmuXr36SDPHx8dLm5dekqDKlaVEwYI5zu0B2FXMmiiYw3fWNMn7gOtdXV1RytfXMoWQ/uu06QRvb284OT3aTeTx8fH4+ssvMX/2bESeP2/z93l6esI/3XRN+qmbIkWK5Np02dEjRzB5/Hj8vGGDXd9XukwZ1AoOtkyT1ahdG97e3o8o5YMdP3YM/bp3x4F9+wAAu/buxT+7duGHdeuwe+fOTNuBnJycUL9hQ7Tr1Amt27dH0aJFVcS2y0cffIBJ48YBAJydnfHVihXo2KWL4lT2ORURgeYhIbh44QIAIKRJE6zZsEH309qJiYnYtnkzfli3Dr9u3Ii4uLhMtwkIDETbTp3QvlMnDOnfH/vCwuDl5YVPFy9Gu44dFaQGEhIScPjgQctmpn1hYTh6+DBMJpPN9/FU5cqYOG0aWrZpk2vvSfHx8Thz6hQi7tu0dyo8HJcvXbL5fvLly4dX+/XDsFGjUKZs2UcX+J5bt27h4oULmTajXry3ifViZCRu3br1wPuIB8JEJNimB7S1wR25uDg5ZfmpolShQhIdHf2oPgjZJCUlRT79+GPxK1zYpk9C+TVNFs6bJ3t275aYmBir02C56dzZszKwVy+ro0hrI+FuHTrIh9Ony7bNmyUmJkZp9jRms1kWzZ+faTopq5Fx80aN5IuFC+XKlSuqo9vl/pHyutWrVUfKtojwcEOOnNMkJCTITz/+KH27d89yJH3/z9/AXr3k5s2bqqOLiMidO3fkf3v2yOcLFsjrffvaPLIOqVtX/vrjD9Xx5fbt23LowAH54bvvpFKZMja99xZ0dpbX+vRR/ntvNpul7csvZ5mzgJOT/qeyg4KCJPzkSVm/bp28/+670rl16wz/EX27d3+EL6FtzGazREVFyc4//5QlixfLuDFjpFOrVlKzYkXxdHHJ9MIP6t1bdWSJjo6WsSNHiperq00/1BPfeUd1ZKuiLl+Wds2aPTC7kcs4zeNUymmMXs5pbCnptKVy2bKy+++/VUe2atfOnTZ9QPcApO3LL8v+vXtVR5b169ZZzVfB11eaN2okI15/XebPmSObf/1VTkVESEpKiurIsnbVKktOXy8veblhQxkzfLh889VXsjc0VO7cuaP/qezg4GAJDQ3NtD42NhaHDx7EoQMH0PGVV+Dj45Pr2WyRkpKCc2fPIvzECUScPImT9/59b8oUpXsAHz50CKcjInAlKgpRly/jSlQUoqOicCXdkpKSYrm9k5MTNmzZgpDGjZVlvt/PGzZgSP/+uHb1qtXrnZyc8MHs2ejUtashpqnTnDt7NsOU2+MwfZ2Vh01r3/9a6F3adPfYESNw/tw5q7dxcnLCmHHj8M6ECciTJ08uJ7Tu2rVrqB8UlCGzpmnw9vFBseLFMy8lSqB4iRKo99xzub4HdJrY2Fj06doVhYsUQUCFCgisWBGBFSrAPzAQ+fPnV5LpYUQEX3/5JYqXKIFqNWqglK+v1U0Dmqbpeyo7KCjoUX1woQcwm81y7do1OXL4sPy+bZus/vZbWblsmfKpdxGRuLg4GTJggE2f7Ns1a5bre5bmhNlslpC6deXsmTMi8niOlO/3oJFz/eBgiTx/XnFC+8ybPdumn836wcFy8sQJ1XFF5O5RDN989ZX89ssvsi8sTC5dvKiL0eWTCkYdMdOT6b9//0X/Hj0ynDlH0zS4u7vDzc0Nbu7ud7++d9nd3R2t2rXDqLfeUpjadhvWr0f3Dh0wddYspKamPrYj5ftZGzlPmTkTzwcF4dW+ffHZV18pTmibXTt3YuLbbyMxMRGJiYlISvs3KQlJiYlISEjIcEKJfPny4YPZs9F34EDdHxdNuceeETOLmZQ7e+YMXFxcMhRvnjx5Hos3tdTUVDxdtSrCT5yAp6cnbt68CeDxL+U095dz2mvg5OSEPQcPonKVKooTOkZqaiqSkpIsxZ2UlIQSJUvC3d1ddTTSCXuKWemZv4gAoGy5cqojPDLLly5F+IkTAPDElTIA+AcE4NcdOyzlnPYamM1mvD9uHNbYeSifXrm4uMDFxcWQZ2wj/dHNubKJHjd37tzBtIkTM633LFQIx44cwZHDhzMdh/24iY6Oxo5t21DEynHwv2zciN1//60gFZG+sZiJHpHP5s61+odCrl+7hplTpmDG5MmIvnJFQbLcYTKZ8NWiRRg/ZgwO7t9v9TYT3nrrsf9wQmQvFjPRI3Dt2jXMnjHD6nUNQkLwx7//YvnatShWvHguJ8s9zs7OeGfCBByMiMCAwYOtHoKzZ/du/PrTTwrSEekXi5noEfho+vRMp+irVqMGfvztN/yyfbuSvyymSrHixTFnwQKEHTuGDla2q0985x2kpqYqSEakTyxmIgc7f+4cPp8/33K5TNmy+Orbb7Fr7140eemlx2Jv8+zwDwjAN6tX46///sMLjRpZ1h8/ehQrly1TmIxIX1jMRA42dcIEJCcno3CRIpj5ySfYe/w4unTv/sj/6IpR1A4Oxs/btmHD5s2oXrMmgLuvWUJCguJkRPrAdwoiBzp86BB++uEHvPXeezh8+jSGjBgBNzc31bF0R9M0NH7xRfwdFoYlK1bA1dUVi+bNUx2LSBd4HDORA507cwb7T558rHfqciQnJyd07tYNbTt2xPq1a5GamqrsPM1EesEzfxERET1i9pz5i1PZREREOsJiJiIi0hEWMxERkY6wmImIiHSExUxERKQjLGYiIiIdYTETERHpCIuZiIhIR1jMREREOsJiJiIi0hEWMxERkY6wmImIiHSExUxERKQjLGYiIiIdYTETERHpCIuZiIhIR1jMREREOsJiJiIi0hEWMxERkY7kqJg1TftQ07TjmqYd1DTtB03TCjkqGBER0ZMopyPmrQCqikh1ACcBvJPzSERERE+uHBWziGwRkdR7F/cA8M15JCIioieXI7cx9wWwKasrNU0bqGlaqKZpoTExMQ58WCIiosfHQ4tZ07RtmqYdtrK0SXeb8QBSAazI6n5EZLGIBItIsI+Pj2PS371fh90XERERoLZbHlrMItJERKpaWTYAgKZpvQC0BNBdcumZmEwm/PXHH3hjyBDUCAzEnTt3cuNhc+zWrVtYOG8eng8Kws2bN1XHsdnhgwfRtX17xMbGqo5iM5PJhPlz5iAhIUF1FLvExcWpjpBtcXFxhvugvPSLL3AlKkp1DLuMGjoU361ZY6jXuk+3bnhn9GicOX1adRSb9XrlFbzSrh3WrlqV+7+XIpLtBcDLAI4C8LHn+4KCgsSa5ORkmTpxoty4cSPTdampqfLnjh0ycvBgKVesmHgAluWH776zen96EX7ypIwZPlyKFyhgyTx/zhzVsR4qNjZW3hwxQgo6O4sHIKOGDlUdySapqakyqHdv8QCkZZMmcufOHZZOROwAACAASURBVNWRbGIymaSin5+8UKeOLFm8WHUcm/2za5d0adNGCru5yYF9+1THsdnHM2aIByC1nnpKoi5fVh3HJlt/+83yHtK8USM5dvSo6kgPdfLECUvm/JomnVq1kt+3bhWz2aw6WpZiY2PFy9XVkruwm5t0adtW1qxcKbdu3bL6PR9MnvzAnyMAoWJrt9p6Q6vfDEQAiASw/96yyJbvs1bM4SdPSsNnnpFShQpZ/sMeVMZpi3+JErJ86VIbXupH58fvv5f9e/dmWGcymWTLpk3SrlmzTJkL5ckjE995R1HahzObzbJq+fJMr/lLL7wgKSkpquM9UPpS9gCkeIECcujAAdWxbPLPrl2W3EMHDlQdx2a/bNxoya3nn+v0EhMT5fmgIEtuo5TzrGnTJL+mWXJ7urjI+DffzLIs9OC3X36RskWLZnofrF2pkiz+7DOJi4vL9D3TJk1S+l5z5PBhqVezptXOKeLuLq+0a5eppPv16CGlvb3lpx9/tHqfuVbM2V3SF7PZbJalX3whRT08xAOQ52rXtqmMRw0dKjv//FNSU1Oz/+rnkNlslplTp4oHIIcPHRIRkZs3b8pnn34qNStUsJr7g8mTJSoqSlnm9G7evJlp3aGDB6Vp/foZcpcrVkxWLlum60+4ItZL+d9//lEdy2ZjR460ZP9961bVcWyWmJgoJQoWFA9AqgcE6P7nJM3169cNWc57Q0Ol4TPPZPgdDSxVStatXp3ptb9586Yu/j8SExNl5bJlUj84ONP7YklPT3l71Cg5feqU5faVypSRti+/LLGxsQpT3x0wzpo2zaaSHjdmjGX9kAEDMn3gMEwxR0dHS5c2baw+Yb2WcZqEhATp2727Jd+O7dszTVenLSF168qalSslKSlJdWyLf3btkmGDBlkux8bGytiRIy3T1h6AFHBykjdHjFD+y2ELo5eyyWSSCr6+4gFIaW9v3c9M3K9fjx6W195I09lGLWeTySRff/ml+BUpkuG95v7p7e/WrJGZU6cqTJqR2WyWf//5R3p37SqeLi4Zsqef5q5TrZplVH0qIkJ1bBF5eEnfv1QPCJD/7dlj+X5DFPPmX3/NckSs1zJOExUVJSF16z4we6E8eaRfjx7y37//qo6byZHDh8XXy0vaNWuW5bR1k+efl4P796uOahOjl7KIcaex0xhxOjuNUctZROTatWsy4vXXrU5vx8XFyecLFogHoMt9Fi5dvCiT33tPyvj4PPC91K9IEdn555+q42Zga0kXdHaW6e+/LykpKfov5qIP+Y+oVKaM7so4zcH9+6Win1+W2csXLy7T339ft7/Y58+dk8BSpcQDkKrly2eati5btKjup63PnT1r+fpxKGUR405jpzHqdHaah5Vz+p85PcpqertV06aW2a8N69erjmlVYmKirPjmmwyvv7WBztdffqk6qlXhJ0/KK+3aPbDTGtWrp/9idrJhGmDye+/p7pf7px9/tGwLt7aMHTlSV9PV94uJiZGaFStazV7AyUnGDB9udY94PYmLi5OgypUlOTn5sSllo09jpzHqdHaaB5Vzr1dekb/++ENxwgfLano7bSns5qbr52A2m+WXjRszbE67f3ln9GjdDdj+3LFDvPPmfWin6b6YnQEplj+/lPb2lgq+vlLN31+Cq1SR54OCpMlzz0nzRo2kffPm8vdffz3Cl9N2ZrNZPp4xI8N0UVY/+GtXrVId16q4uDh5oU4dq7mbPPecYaatZ0yZIh6AbPr558eilEWMP42dxsjT2WmslfOZ06elqIeHNHzmGd0NFqyxNr2dtpQoWFC3H5qOHzsm1fz9H1pwHVq0sLrjqgpXr16VV7t0kVZNm0rT+vWlwdNPS51q1aRmhQryVOnSUrZoUSlRsKB4ubrqv5izOo5ZjxITE2Vgr15Z/pAUcHKSCr6+0qhePenZubOMGzNGrly5ojp2BklJSdLmpZeyfA51qlXLsJOCXsXExFh2ritVqNBjUcoixp/GTmP06ew095dzSU9Py9d6nQ5O78qVK9K7a9csf9/LFSuWYQ9oPTCZTPLpxx/LwF69pHmjRlI9IEAKu7ll+RyerlpVzp45ozq2XewpZu3u7XNXcHCwhIaG5vrj2uvq1asYPmgQIs+dQyk/P/jeW9J/XaJkSbi4uKiOmiWz2Yx+PXpg3apVD7xdeX9/fLF8OZ6pVy+XktnvrTfewIJPPsmwrkCBAtiwZQvq1K2rKFX2JCcnw9XVFWazGZXKlMHFCxdQxNsbpy5f1vXP08P079kTq7/9FgCwe98+VK9ZE2azGSaTCXny5FGcznY3btxA66ZNsS8sLMP6wIoV8d/hw7r9P7p27Rr6duuGHdu2wWw2Z3m78v7+2LprF4oVK5aL6ewjIrh69SouRkbiwr3lYmQkIs+fx8XISCQlJWH2ggUIrlNHdVSbaJoWJiLBNt3Y1gZ35GKUEbNRP/GnMZvN8uaIEVY/cVbw9ZX+PXvKsiVLDPHJ88zp01IoT55Mz6Oav7/Mmz1bIs+fVx3x/9q77+goqrcP4N+bQoANIZCQ0IKhCEivUgSlIx1ECAgIiFJFQBEEBBQQpCNNpPdehR9deu9VkF4SakiH9H3eP8LOu5tsktkk5M4kz+ecOSeZtO9MZueZe+feWZt86eNDL168yDDd2Cbxu7NjY2Pp25496f69e7KjqRYaGkrr16xRBk7FX7Q4wjm+wMBA2rFtGw0ZOJCqly9vdTtqVqyomS7hlNLTORrclc2IiCaPH2/RfdW1Qwda9NdfdPvWLV0d0ESWA4viLzkdHOj7b7+l169fy46pWpkiRahqmTL0dZcuGaIb2yR+d/a3PXuSAdDFoyNNli1aZPVJVaalaL58ujrWiOLuhW7dtIkG9etHlUuVUralSd26FB4eLjtepmBLYeau7Axqx7ZtWLdqFWrXqYOP69ZFiZIlIYSQHStFrly6hI8qVYK1Y7Wtjw9GjRuHosWKSUiWcu8XKICnT54onzs5OWHuokV4cP8+ir7/Pj738ZGYznb/Xr+OdStXouj772P5okU4deKExdePX7iA8hUrSkpnu9DQUMyaNg0zp0xBWFhYgq//Mn48Bg8bJiFZ2nj+/DmOHjqEIwcPws3dHT//+ivs7e1lx8rQbOnK5sKcQRGRbgtxfG2aNMG+3bst1n1Srx7GTpyISlXU3bLRmkJubggICEiw3sPTE6evXkVavjVqeiAidGjdGv/7+2+rX//nxAlNj19IzPPnzzFp3DgsmjcPMTExynoXFxdcvXcPbm5uEtOlnYx0vtAqWwpzsm/7yPQpo7zIDh04YFGUy1esiG179mDH/v26LcoAEBkZaXX9n4sX664oA3HH2+yFC+GRyGCixLZX6zw9PTF11ixcuHkT7Tp2VNaHhIRgyvjxEpOlrYxyvsgouDAzzSIijP7pJwCAd+HCWLx6NY6eO4f6jRrp/kQSERGRYN03ffuicdOmEtKkjTx58uDPxYutfi3SyvbqSZGiRbFk9WocO38e9Ro2BAD8NXs2Hj18KDkZy4i4MDPN2rppEx7cv4/JM2fiws2baN+xI+zs9H/IxsTEIDY21mJd8ZIl8dvkyZISpZ3GTZvim759E6y3diGiRxUqVcLfe/fi7717UapMGfw2erTsSCwD0v9ZjmVIRISoyEhcvXsXffr3R5YsWWRHSjPxi5SDgwMWr1qF7NmzS0qUtn6bPBnFS5a0WJdRCrNJvYYNceTsWTRu1szqWAHGUoMLM9MkIQR8OnWCi4uL7ChpLn6RGjl2LCpUqiQpTdrLnj07Fq9aZfEQDr13ZVtjZ2eHz9q1Q+7cuWVHYRkMF2bG0lmU2UComrVrY+CPP0pM825UqFQJI8eOVT7X6+AvxmTgwsxYOjO1mF1cXLBg+fIMO3904I8/ombt2gAyXlc2Y+8SF2bG0pmpSE2bMwfveXvLDfMO2dvbY8Hy5XBxccmQXdmMvStcmBlLZ5EREWjr4wOfTp1kR3nn3vP2xrQ5c7jFzJgNtPkWKYxlYK65cmHGn3/qfi62Wj6dOuHShQuyYzCmG1yYGUtnhYsUkR0hXQkhULFyZdkxGNMN7spmjDHGNIQLM2OMMaYhXJgZY4wxDeHCzBhjjGkIF2bGGGNMQ7gwM8YYYxrChZkxxhjTEC7MjDHGmIZwYWaMMcY0hAszY4wxpiFcmBljjDEN4cLMGGOMaQgXZsYYY0xDuDAzxhhjGsKFmTHGGNMQLsyMMcaYhnBhZowxxjSECzNjjDGmIbotzLGxsVi6cCGa1K2L6Oho2XFUu3LpErq0b4+IiAjZUVR7/fo1fhkxQleZAWDvrl2IiYmRHcMmejqW44uOjgYRyY5hkyOHDiE0NFR2DJv8NWcOrl25IjuGTcaOGoWVS5fq6vj4ecgQ/PT99wgICEj/P05E6b5UrlyZUmPf7t1UtUwZMgBkAGje7Nmp+n3pITY2lv6YMoVcHR3JANCQgQNlR1IlLCyMGn38MRkAatW4MYWHh8uOpMqRQ4fIAFC1cuXozKlTsuOo9mHZslSheHH6oX9/2VFUW7tyJX3y4YeU28mJHty/LzuOKs+fP6euHTqQAaARP/4oO45qf0yZQgaACrm709XLl2XHUeWfvXuVc3WX9u0pICBAdqRk3b51i3I6OJABoAKurjRz6lSKiIhI1e8EcI5U1khdtZivXbmCVo0bo/Wnn+Lfa9cAAA4ODnjl7y85WdKePX2K1p9+iuGDBystovt372q+Nff69Wt81rQpjh85AgC4dfOm5vc1ENdy+75fPwBxx0xQYKDkROq8fv0aN65fx+1bt3D/7l3ZcVQLCQnBuTNnEBkZiYvnz8uOo4qDgwMO7t8PAJg9fTpu/Puv5ETJMxqNOHXiBADglb8/mtWvr4uW880bN2Bvbw8A2Lx+PWqUL49jb88pWvXowQPkdnMDAAQFBWHYDz+gSqlS2LxhQ/q0+tVW8LRckmox+z5+TOfOnLFY98TPj/p89RU5C6FceRkA+qJtW7p961ZKL2DSxY5t28jLzU3J7JY1K82bPZuMRqPsaEkybykbAPrgvfd00xqaNW2akrtDmzay46h28vhxJfeYkSNlx1Ht3JkzSu7Rw4bJjqPa0oULldxN69XT/GuSiCgqKoo6tGmj5NZLy/nUiRNUunBhJXcOOzv6ZcQIioqKkh0tUSEhITRm5Ehyz5bNou7Uq1GDTh4/bvG9kZGRtHP79iR/H2xoMWuqMD/x86Py779Pq5cvJyKi0NBQGjd6NOXJnt1ix3zy4Yd0/OjRZHZr+nr65InF569fv6bveve2yF2tXDm6fu2apITq6bkoP/Hzo7w5cpABIPds2ejhgweyI6k2d+ZMZZ/v2LZNdhzVwsPDlW6/lo0ayY6jWmxsLNWpVk3Z5xvWrpUdSRW9Fufg4GD6ukuXBOfyu3fuWHxf/HOpbH6+vtSrW7cEDcPO7dop2QMCAihXliy0b/fuRH+PLgvzs2fPqGLJkmQA6M9Zs2jpwoVUNF8+ix1RytubNqxdq7kr20cPH1KdatWUzy9fvEiVPvjAIvuQgQN1cX9Wz0WZiKj7F18o2SeOGyc7jk2++fJLJbufr6/sODapUaECGQDyyp1bc6/PpFw8f1454RbLn59CQkJkR1JFr8WZiGjd6tWUz8VFye7p7EwrlixRjpsfBwygjevWSU6Z0OWLF6lZ/foW53VXR0caOmgQXb18WekRPbB/v9Wf111hfvnypcVgLresWS02Pn/OnDRj8uRU33x/FyIiIujjqlUph50dvXnzxmKAlwGgwp6etHfXLtkxE/XfzZvKx3ovyqYBXwaAyhUrpsnjJSlVSpdWjhk9FTcior49eij7Xk/HDBHRgD59lOx6GgiWXHG+fesWxcTESEyYuAf371ODWrUszvOmgWGtGjcmD4OBbvz7r+yYCRiNRtqzcydVLlXKIrt5zcqTPTsdO3Ikwc/qqjC/evVKudqOv+R0cKAfBwwgf3//NNmp74L5i7pmxYoW+T9v3pxevHghO2KiHj96RBVLliSj0aj7ohwVFaUUNgOg6Ysha8LCwiiHnR0ZAPqsaVPZcWw2f+5cZd9v2bhRdhybvHr1igq5uyvnnH+vX5cdSbWkivOgfv1oxZIlcgMmITo6miaMGUMu9vZK/hJeXuSVOzcZAKpYsqRmezCio6Np0V9/kbeHh9Xa5ensTKdOnLD4Gd0U5qCgIKpdpYrVDXPPlo3Onz2bpjszra1evtxqdresWemvOXM03+rp3b07GQA6fPCgLotybGys8vHMqVN1OeDLRK8Dv0z0OgDMxHwgWJO6dS1eu+bHmRZZK86XL16kInnzUvGCBenNmzeyIyYp/sAw8+VLHx9Nn0eDg4MTbVjmc3GxqGG6KMwhISFUr0YNqxtkfvV08J9/3sX+TLWrly8nGK1n6sa4eP687HjJun7tmtJCM98OvRTl6OhopQDoecCXiV4HfpnodQCYSWIDwfbs3EmHDhyQnC558Yuz+Wt6xuTJsuMlKzg4mD6qVMlqHZg9Y4bseFY9fvSImjdokGQNK+DqSpcvXiQiHRTmihUrWrTQ4i/OQlCV0qWp39df07JFiygyMvJd7dsUCQoKonLFiiV5QbF04UKKjo6WHTVR7Vu2TJBbL0WZiOjMqVPkLASdPH5c1wO+TPQ88MtErwPATOIPBHv65AmVLFRINz0Y8YuzaSmYKxcFBgbKjpeoE8eOUcPatRM9n+Z0cKATx47JjpnAgX37aPjgwdSgVq0E46LMFy83N7p29ar2C3POt60b8+BtmzWj38eOpQP79lFQUNA73J2pYzQayad160T/CS729tSyUSNatmiRZu+PHD961Gr2CsWL06TfftP83HAioikTJignUFN+vQ34Mi/Aeh74ZWJtAJjeLjLMx4y8X6AAGQBqUKuW7FjJCggIoBVLllCLhg2tvrZH/fST7IhWGY1G2rd7N/Xq1o3y58yZ6Hm1WP789OzZM9lxExUVFUUXzp2jebNnU4/OnRM03Lw9PLRfmA3Zs9Ogfv1ozYoVdOf2bV2diKZPmmS1hf9pnTq0cN48TQ/2Iop7IdSvWTPJrpdpEydqeuI/EVHLRo0SZJ85dSo9e/pU89lNJowZQ9/17k0BAQG6HvhlEn8A2JoVK6hJ3bqyY6kSGxtLr169otMnT1JuJyeL48rV0ZHCwsJkR0zS3l27LAY/xl/csmbV/EVSREQE7di2jbp/8QV5Ojsn2IYmdetquhcyvhcvXtCuHTvo159/pmb162u/MKf2WdmyHD54UDmBGgCqX7MmzZ05U3MT4pOyfetWqy/c3E5O9POQIbp4jm1kZGSCh86YL0MGDtTFxd7i+fPJgLj5+abs3/XuTWtXrqS+PXpoejaCidFopFE//USzp0+nVcuWWdwWMQDk06qV7Iiq7Ni2LUFBNl/279kjO2KyYmJiaPnixVS8YEGr29Dv669lR1TtzZs3tGXjRur0+ecW3cQjhw6VHS3F0r0wAxgMgAC4q/l+PRbmJ35+VNjTk2pXqUIzJk+mRw8fyo5ks+jo6AQPPslhZ0d9vvqKHj96JDueaieOHUv0BDp5/HhdFGUiov/9/Xei2zGgTx/Z8VTbtWNHotvRv1cv2fFUO3r4cKLdqVrtCrbmzZs3NGPyZCqYK1eC17oW5wYnJyQkhNatWkXtW7ak3E5O9PeWLbIjpUi6FmYAXgD2AHiYkQvz4YMHEzw6Tm/Mp4QYAGrfsqUuHhEa3+9jxyY4ceaws6MlCxbIjmYT8ylG5ot7tmy66oUxGo0JHhZhWsaNHi07nk2uXr5MRfLmTbAd5k/204uAgAAaOXSoRYvTp3Vr2bFSJTAwkP7eskWzD05JSnoX5o0AygN4kJELs969fv1aGcxSv2ZNzT1r3BZN69VL0A2vx6to38ePrRYzPc4DTmxA4YI//5QdzWb3791LMHjHxd5es4M5k+P7+DH17dFDuQ0X/w0YWPqwpTCn6m0fhRAtAfgR0WUV39tTCHFOCHHu5cuXqfmzLAXmzZqFHC4uWLdtG/YdO4aatWrJjpQikZGROP32re8AIGfOnNi2dy9atG4tMVXK5PHwSLAuV65cGDhkiIQ0qVOzVi00ad48wXrPvHklpEkd78KFse/4cVSoVElZFxsbixNHj0pMlXIFChbEnIULcebaNTRv3Rojhw41NaqYRiVbmIUQ+4UQ16wsrQCMADBKzR8iovlEVIWIquTJkye1uZkNYmNjUax4cZy+cgXNWraEEEJ2pBQ7c+oUIiIiAMSd9HcfPoxaH38sOVXKZMmSRXnPV5Pvf/oJrq6ukhKlzujx4xMcW3nz5ZOUJnU8PDyw8+BBfFKvnrLuyMGDEhOlXskPPsDaLVswduJE+Pn6yo7DkpBsYSaiBkRUJv4C4B6AwgAuCyEeACgI4IIQQn+XyBmcvb09WrZpAwcHB9lRUs10cixarBj2Hz+OsuXLS06UOuYtynz586PXt99KTJM6ZcqWRYfOnS3W6bHFbOLi4oLNO3eiTbt2APRfmE2q16yJgl5esmOwJKS4K5uIrhKRBxF5E5E3AF8AlYjoWZqlYyyeIwcPonzFith77BgKFykiO06qmReuYaNHI3v27BLTpN6IX3+Fo6Oj8rmHp6fENKnn5OSEpWvW4Ju+fXH54kUEBQXJjsQygVTdY2YsPb158wbZs2fHrkOH4KnzE76Jqav3/eLF8eVXX0lOk3rehQujR+/eAABXV1dkzZpVcqLUs7e3x7TZs/HTqFE4fuSI7DgsE0izwvy25eyfVr+Psfiio6OxdutWuLi4yI6SZkwt5pHjxmWIWw0A8OOIETAYDPDQcTd2fEIIDB89GlWrV5cdhWUC3GJmupEzZ044OTnJjpGmPPPmRcXKldG6bVvZUdKMp6cn+v/wg67vLyfGw8pIesbSWsa4RGdMpzzz5sWvEybAzi5jXSN/98MPCAoMlB2DMV0SMuazValShc6dO5fuf5cxrfH394ebm5uup7Alxt/fH+7u7rJjMKYJQojzRFRFzfdyi5kxiTJy4crI28bYu5Sx+s8YY4wxnePCzBhjjGkIF2bGGGNMQ7gwM8YYYxrChZkxxhjTEC7MjDHGmIZwYWaMMcY0hAszY4wxpiFcmBljjDEN4cLMGGOMaQgXZsYYY0xDuDAzxhhjGsKFmTHGGNMQLsyMMcaYhnBhZowxxjSECzNjjDGmIVyYGWOMMQ3RdWE+dOAAOrdrh+joaNlRVHvi54fvv/0WkZGRsqOoFh0djTkzZugqMwCcOHYMMTExsmPYRG/72FxUVBSISHYMm1w4dw5hYWGyY9hk47p1uHvnjuwYNvlz1izs3bVLdgybTJ80CZPHj4fRaEz/P05E6b5UrlyZUsNoNNLU33+nHHZ2ZABo2A8/pOr3pRc/X18qV6wYGQBq26wZRUREyI6kypiRI8kAULVy5ei/mzdlx1Hl/r175CwEFS9YkFYtWyY7jmo1KlQgbw8P8mndWnYU1WZNm0alvL0ph50dPfHzkx1HlauXL1O9GjXIAND8uXNlx1Hl9evX9M2XX5IBoI+rVqWoqCjZkVSZPWMGGQDKlSUL7dm5U3YcVQ7s36/Ul/YtW1JgYGCqfyeAc6SyRuquxRwcHIyOn32GUT/9pFzJhIaGyrmqscETPz80qVNHudINePVKF62j40ePYvJvvwEAHj14gCxZskhOpM6CuXNBRPDz9dVNK46IcPf2bbx88QIBr17JjqNadHQ0Hj54AKPRiDu3b8uOo4qbuzvOnz0LAJg3a5YujhEnJyfcv3cPAHD+7Fn89ssvcgOp9PzpUwBxPSodWrfWRcv5lb+/cq77399/4+MqVXDtypX0C6C2gqflktIW89UrV5QWpwEgt6xZafnixSn6XenJvKVsAKhu9eoUHBwsO1ayAgMDqWShQkrutStXyo6kSlhYGBVwdSUDQIXc3Sk8PFx2JFWePX2q7Os+X30lO45q2zZvVnIvXbhQdhzVunXsqOQ+sG+f7DiqPHzwgPLnzEkGgJyFoCOHDsmOlCyj0Ugjhw5V9rVeWs5XLl2iMkWKKLnds2Wj1cuXp/j3wYYWsyYLs9FoTLBu7cqV5J4tm7KTShcuTJcuXLB556Q3vRZlo9FIXTt0UHJ/1amT7EiqLZw3T8n9y4gRsuOoduzIESX3lAkTZMdR7eqVK0rukUOHyo6j2umTJ5Xc7Vq0kB1HtfVr1ii5S3h5UUBAgOxIydJrcQ4ICKDPmzdXchsAGtCnT4LbkNZqVny6L8xjR41SPo6MjKRB/fpZ7JjPmjbVxcGo16JMRLRq2TIldylvbwoKCpIdSRWj0UhVSpcmA0Au9vbk5+srO5JqyxcvVvb55g0bZMdR7fXr10ruL9q2lR1HNaPRSB9Xraq0Pu/euSM7kmqme80GgLq0b6+qMMim1+IcGxtLE8eNI2chlOx1qlWjx48eKd/zx5Qpyd6H1nVhXrdqFRkA8vf3J9/Hj6lu9erKznAWgiaMGUOxsbHJ700JLp4/r3ys56J8984d8nR2JgNAOezs6MSxY7IjqXbwn3+Uff6lj4/sODYZPWyYkv3KpUuy49jk/QIFlAGCerJ6+XJlnw8dNEh2HNWCg4MtullXLFkiO5IqyRXnO7dva/Y8+c/eveTl5qZkL+TuTgf27yciorrVq1P3L75I8ud1W5gf3L9P+VxcyADQ6OHD6b08eZSd4JU7N+3bvVv9Xkxnp0+epI8qVSIifRflqKgoqlOtmpJ93OjRsiPZxKdVKyX7yePHZcexSed27ZTsoaGhsuPY5NM6dcgAUJ7s2XXRejOJiIggbw8PMgCUz8VFV/v99MmT5GJvTwaAPAwGunP7tuxIqiRVnMeMHEljRo6UnDBxjx4+VHpZTA2XiePGKbdZkxqHo8vCHBMTQw1q1bLosjYttatUoYcPHqRoR6YHo9FIjT7+mAwAHT18WHdFeenChcrJ1DQ1zhXYUQAAGztJREFUygBQ/Zo1KTo6WnI69UxTpAwAfVSpkq4KBFHcVCkDQEXz5ZMdxWb9vv5aOW70MmXKZOyoUUp2vUydMpkwZoyS/ZMPP1SmUK1YskTTr93EinOFEiUoT/bs9OzpU9kRExUREUH9e/WyWqvyubjQ/Xv3rP6cLgvzxHHjrG7otz17an5U7e7//U/Jm9PBQVdFOTw8nPLmyEF7d+2iY0eOKHP3kjrAtGr44MHKvl+5dKnsODYxGo3K7YOGtWvLjmOzaRMnKvteDyOFzT3x81NetxVLltTVBV38Bs0vI0ZQYGAgFcyVi/bv2SM7XpLiF2fzc+eAPn1kx0vWyqVLyS1r1gQ1q8FHH1m9KNJdYT57+rTSJZNgI2vVoj07d2r2xRITE0Mfli2bILceijLR/091qVaunC6nRs2YPJmio6Mtpki9lyeP5i/m4tPrVCmTrZs2Kfn1NGXKxHzq1D979xJR3IMx3rx5IzlZ8uJPoWrbrJlujqP4xdm0uNjb0+1bt2THS9TNGzeoZ9euFhcT5suEMWMS/IyuCnNISAiVLVrU6saZlk/r1KFzZ86kyQ5Na+aDR8yXskWL0ujhw+nKpUuavaggIvrSxydBdj1NjapQvDgN6tfPYorUrz//LDuWaqaux+NHjyr59TRVyiSxKVN6eTqV+dSpz5s3p53bt5OzEJouDubMp1CZlgKurhQZGSk7WqKePX1K82bPVm4Dxl+6tG8vO6JVr169op5du1pM37V2YXH65EmLn9NVYe7dvbvVDSuaLx+NHjZM0wMawsPDLVqZ1orzhrVrNTuKPCwsjPJkz54gd4uGDWn08OG0ecMGTV9UGI1G5cWRN0cOpTtMT1Ok2rVoQdevXbM6VUrL+97ElNF8ylTHzz6joKAg6tm1q25Gl8efOuVhMJABoIP//CM7WpLOnTlDk8ePp2++/JJyOzkleC3v3L5ddsREXb54kVo1bpxko0yrDTIioqCgIFrw559Uu0oVq9nLFClCISEhyvfrpjBvWr/eYkNyOjiQT+vWtHP7dk0PXDCZNW2a1X+It4cHzZs9W9NXq0REG9auTfQFUcrb22L6lxa9fPnSaiuhXYsW1Ojjj2n3//4nO2KymtStS7mdnOijSpWUbVi2aBGN+PFH6t+rl+x4yVq5dCl91akT7di2TRndXCx/fvrgvffIAFBYWJjsiEl6+uQJtWjYkNo0aUKVS5VKcDxpfRpSQECA0nVtbenRubPsiMk6sH8/1apc2Wr+JnXr6uIC9cqlS/RD//5UMFcui/y9unVTvkcXhfnxo0fKPcEKJUrQ9EmT6NmzZ+9in70TQUFB5JU7t8U/wdPZmX775ReLqyQt69CmjdUXQ9tmzejVq1ey4yXr0oULiZ6Q+n39tS5e0N/17p3oNpjmSGpZWFiYxdxO86WEl5fseKqYP1I0/mLtXqHWxMbG0qTfflMGbpoveXPk0MV98tjYWNq4bp3FjBbTouVpsvGFh4fT+jVrqHmDBkr+jevWEZFOCvPnzZtTr27d6PjRo7o4gcY3evhwZce7OjrSD/370/Pnz2XHUi04ODhB15ezEPT72LGa7XqPb8e2bVZPpo0/+UTzvRUms6dPt7oNtSpX1s3rYtzo0Va3oVn9+rKjqTZ5/HjrF3jffCM7mmoH9u2jQu7uCbZh66ZNsqOpFhUVRfPnzqXCnp5K/urly+vmnGTu/r17NGbkSKpWrhw9fvRI+4W5QoUKuhixnJinT54o9za7deyoq0f5mcQftObl5qaMRtWLebNnJzgJlS1alPz9/WVHU818qp35YrrK1oMXL15YHQgzsG9f2dFUMxqN1KNz5wTb0PrTT2VHs8njR48sHhBkgHYHUSUlNDSUJowZo0whXLdqlexIKRYTE0NPnzzR/ts+2tvbw8XFRcafThPjf/0VNWvXxrHz57Fk9WoUKVpUdiSbbVy7Vvm4yocf4viFC6jXsKHERLbze/zY4nMXFxes374dbm5ukhLZ7v0SJRKsK1ykCFp99pmENCmTJ08edPnqqwTrrW2bVgkhMHvBAlSrUcNivW+8Y0zrCnp5Yc+RI+jZr5+ybtf27QgLC5OYynbOzs74aeRIXL13D30HDMCEMWN08Ta51tjb2yNvvny2/ZDaCp6WS0rf9lELwsPD6fDBg7JjpMqrV6+U+XcD+/ZN8E4petH9iy+UVkEOOztd3YsyiYmJIVdHR4sWjt6ePkUU120X/x7n3l27ZMey2bNnzyxmWuRzcZEdKcXWrlypzLpYv2aN7Dipcu/uXbr133+yY6QKtN5i1rOsWbPi4zp1ZMdIle1btsDR0RELV6zA9Dlz4OTkJDtSipi3ZibOmIEGjRtLTJMy9vb2KFKsmPK5e5486Nytm7xAKeRduDA+a9/eYp2eWswmnp6e2LB9OwwGAwAgJCQEwcHBklOljE+nTjh4+jTeL14cm9atkx0nVQoXKYL3ixeXHSPdcGHOhC5duICDp0+jQ+fOsqOkiu+jRwCAHr17o/e330pOk3LmBazPd98hW7ZsEtOk3KAhQ5SPnZyc4FWokMQ0KVemXDksXr0aQggA+uvONle6TBkcPnsW2bNn1+0FRmbEhTkTGjdpEsqULSs7RqrExsbiiZ8fPqlXD1NmzlROonpkagkYDAZ807ev5DQpV75iRWWcQpFixWBvby85Uco1a9kSYydOBJBwLIPeuLi4YNHKlXB0dJQdhanEhTkTMnXT6dmL58/hXbgwVmzYoPsTjqnF3O2bb5A7d27JaVJn0NChAIBiGaDbccDgwejSvbuuW8wmQghkz55ddgymEhdmpkthYWHYsGOH7gsZEFeY7e3t8e2gQbKjpFqdevVQoVIlFNfh/eX4hBD4Y948vOftLTsKy2QcZAdgLCUy0kCQYsWLo13Hjrq9J2tOCIGBQ4Yg/M0b2VHSRJYsWVC/USPZMVgmw4WZMcnc3d0x/JdfZMdIM63btoWfr6/sGIzpFndlMyaZEEKXD6lJjIODA3f/MpYKXJgZY4wxDeHCzBhjjGkIF2bGGGNMQ7gwM8YYYxrChZkxxhjTEC7MjDHGmIakujALIfoLIf4TQlwXQkxKi1CMMcZYZpWqB4wIIeoCaAWgHBFFCiE80iYWY4wxljmltsXcB8DvRBQJAET0IvWRGGOMscwrtYW5OIDaQojTQojDQoiqiX2jEKKnEOKcEOLcy5cvU/lnGWOMsYwp2a5sIcR+AHmtfGnE25/PBaA6gKoA1gshihARxf9mIpoPYD4AVKlSJcHXGWOMMaaiMBNRg8S+JoToA2Dz20J8RghhBOAOgJvEjDHGWAqktit7K4B6ACCEKA4gCwD/1IZijDHGMqvUvu3jYgCLhRDXAEQB6GqtG5sxxhhj6qSqMBNRFIDOaZSFMcYYy/T4yV+MMcaYhnBhZowxxjRE14X50oUL6NWtG6KiomRHUc3f3x8/DxmC8PBw2VFUMxqNWDhvHt68eSM7ik1OHj+OiIgI2TFsEhwcDKPRKDuGzYgIwcHB0NMQEyLC+bNnERoaKjuKakSEv7dswb27d2VHscmyRYtw8J9/ZMewyfy5c/HnrFly/jgRpftSuXJlSq2L589TwVy5yACQT6tWFBkZmerf+a7FxMRQi4YNyQBQzYoVyffxY9mRVFm5dCkZAHq/QAE6sH+/7DiqvHz5klzs7Slvjhw0cdw42XFUq1W5Mrk6OlKdatVkR1Ht159/Jk9nZzIA9OzpU9lxVDn4zz9UytubDACtXblSdhxVnj17Rg1r1yYDQJ0+/1x2HFViYmKo39dfkwGgQu7u9PjRI9mRVPlrzhwyAGQAaO7MmWnyOwGcI5U1Upct5ksXLqBFgwYIDAwEADhlzQo7O+1vym+//IID+/YBAMLDw+GSM6fkRMl78+YNfh0xAgDw/Nkz5C9QQHIidXZs3YrY2FiEhobCYDDIjqOa7+PHiI6O1lWr2dHREWFhYQDi8uuBV6FCePjgAQBgy4YNcsOo5ObmhsCAAADA1o0bcerECcmJkmdvbw87e3sAwCt/f3Rp1w6RkZGSUyUvW7ZsEEIAAH787rv0bzmrreBpuaSmxWzeUjYA9KWPD0VHR6f496WXndu3K5k9DAa68e+/siOpMnHcOCX3wL59ZcdRrWWjRkpuvfRMREREKJk7tGkjO45qyxYtUnJv27xZdhzValasSAaAcjs5UXBwsOw4quzZuVPZ13WrVyej0Sg7UrIiIiLo46pVdXceWb54MTkLkWYtZ9jQYtZVYdZrUb539y4VcHVVcm9ct052JFWePXumdFHmzZGDnj9/LjuSKqZubANA9WvWlB1HtXt37yrHyODvvpMdR7V/9u5N826/9DB5/Hglt166s41GIzVv0EDJvWn9etmRVHn08CF5ubkpudesWCE7kippWZxtKcza7/99K373dVsfHyxauRIODql9Rsq7FR4ejk5t2yIoKAgA8O2gQWjbvr3kVOr8Nnq00kX5w7Bh8PDQx7t6mrqxAaBNu3aS06jn5+urfFygYEGJSWyT3yyrn066sgHLY0Mv3dlCCIyfMkXpZh01dKguuoa9ChXC0jVrlNz9e/bEtStXJKdKXpfu3TF30aL079ZWW8HTckmuxRwbG0vHjx5VPtdrS9loNFKvbt2U3A1q1aKoqCjZsVT59/p1ymFnRwaASnh50Zs3b2RHUk2P3dhERGtXrlRyr1+zRnYc1UJCQpTc3Tp2lB3HJnrsziYi6t29u7LPZ06dKjuOaua3xsoVK0aBgYGyI6mSVMv58aNHdP/evWR/B/Telb1h7VpqWq8eEemrKBuNRnr58qXy+aK//lJyF8mbl54+eSIxnW3aNmumu24nIiJ/f39ddmMTEU39/Xdln5tfmOpB/pw5lYtPPTHvzl63apXsOKr5+fqSe7ZsZACogKsrvXr1SnYkVWJjY6ldixbKPvdp1YpiY2OJKO786e/vLzlh4hIrzrOmTaMenTsn+/O6LsyRkZFUtmhRymFnR3t37dJNUSYiOnfmDH3Xu7fyca4sWcgAkIu9PR07ckRyOvUO7N+v7POPKlVSXjh6sGTBAiX77OnTZcexyaB+/ZTsDx88kB3HJlXLlCEDQKW8vWVHscmd27ctioSejBk5Usk+dNAg2XFUCwwMpDJFiijZp0yYQERxA2THjholOV3SrBXnejVqkLMQdOXSpSR/VteF2Xz+mPmi9aJMRNS/Vy/KlSULXb1yhUoWKqSrrqZFf/1FRqORYmJiqEaFCkr2wwcPyo5mE712YxMR+bRqRQaAnIXQzS0Pk9affkoGgFwdHXV1IUek3+7skJAQKuzpqez3O7dvE1HcLZHQ0FDJ6ZJ2+eJFcsualQwA5bCzowP791Pd6tWphJcXxcTEyI6XpPjF2bS0adIkyZ/TbWEODQ0lbw8PXRblsLAwypsjhzIdypS90+efa35KQ0xMDOXNkYPWrVqlPEzEAFD7li1lR1PFNFpcz93YREQfVapEBoCK5ssnO4rN+n3zjXLc6OUhIybWurMjIyMpICBAcrLkLZ4/3+Jc8+jhQ8rn4kJHDh2SHS1Z5uca83Pm3l27ZEdLVmLF+dCBA4n+jC2FWVOjsmdNm4aXL14kWH/q+HGM+PFHnD55Mu5qQoO2btyoPNrv9evXAICixYrhz8WLlRF9WvXfzZsIDQ3F9/364ZfhwwHEPRhgzMSJkpOp06pRIzx88ADbt2zR3Whs8+PZNCpbTyOyTcwzm7ZDq6/V+MyPlc3r1yMqKgpdO3TAjevXJaZSp0v37vigdGkAceegz5o2RUhICM6eOiU5WfI6de2Krj16APj/cyYQ9/hOrXr08CGmT5qEBXPnWj2+Rw0dmibHvWYK84sXL/DH5MlWv+bn64uL588DgGaLnLWD6e6dO6j8wQf4om1bTT8RyfQiDgoKwtMnTwAATZo3R7Zs2eDv74/o6GiZ8ZJ1+7//0KROHSyZP19Z1/rzzyUmUm/m1KnYumkTIiMjlYvSAl5eAOKeUa7lZ6oTkZKv4NvMQNzTv27euIG+b0+6Wle0WDGUr1gRALBv9250atsW27ds0fQ0JCJCYGAgnj97hq969VLWmy4mzmi4MEdHR2P44MGoUro0VixZkuDr/9u2DS9fvpSQLHmOjo64f+8eLl+8aPXr58+exdZNm1L9dzRTmCeNG6fMmTVXqkwZbNyxA3sOH0a1GjUkJEve7Vu3cOLoUatfc3R0RP/vv7c4cWnNmZMnE6zbsW0bSnl7o32LFhZXs1pDRIiIiMCjhw9x/uxZAICbuztmT5+O9i1bYtvmzZITJi2Phwc6f/45Pmva1GL9uNGjUbVMGauvCa0QQqCrjw/69uhhMQd75pQpqFmhgqazA3EX/J81bYr+vXohW7ZsAIDIyEjs2rEj7mONvwHK1AkTUMLLCz9+912Cr53RcO+io6MjBgwejIJeXlYfPRsdHY11K1dKSJa8fPnzY+a8eTh7/TpatW1r9Xt+HT489Y0ZtX3eabnEv8d8984dcnV0tOirL+HlRSuXLtX8QAAiopFDh1odsNajc2cKCgqSHS9ZVUqXtpq/Qa1amh8MY/4Yy/hLk7p1NT8Q6cqlS4nm79m1q+x4ydq8YUOi+fXw5iEzJk9ONP+WjRtlx0uS0WikX0aMSDT/g/v3ZUdMUmxsLM354w/K7eSUIHuV0qU1PzaHiOj0yZPU+JNPEuRf8OefCb4Xehv81a1jR2WDvHLnpplTp1J4eHiqd1p6iIqKoiJ581r8U/K5uOhmTmRQUJDVQQxN6tbV/MhOorj81k5K+XPm1MU72URGRia4KDUtF86dkx0vWdHR0VS8YEGr+Xdu3y47XrJiY2OpSd26VvPr5TGdE8aMsZpfLw+puXrlijLdznw5c+qU7GiqGI1G2rNzJ31YtqySvbCnZ4Lzpy2FWXpX9qULF7BhzRpky5YNg4cNw5W7d9H/+++RNWtW2dFU2bNzJ54/e6Z8XuOjj3Dy8mW0/+ILianUu3D2bIIur3oNG2Ljjh1wdnaWlEq9xN5veca8eZq+fWCSJUsWlPjggwTrq9WogYqVK0tIZBsHBwd83aeP1a+VLV8+ndPYzs7ODvOXLUNOK+/0ppf38v5p5EiM+f33BOv1MAAMAMqULYsjZ8+i74ABFuuXLVwoKZFthBBo1KQJTly8iAXLl8OrUCG8eP4cc2bMSPkvVVvB03IxbzG3adKE+n3zDfn5+qbVBUy6Mj3FxsXenn4fO1bz07ri+33sWIur1LbNmummt4Io7uH48a+0v+rUSXYsm/To3DnBNqxbvVp2LNVevHiRoDuygKurLroiTdavWZPgf/DXnDmyY9lk1rRpFvn19J7eJnt37VLmZns6O+ui1y6+8PBwmjVtGpUuXNjiSZDQS1d2YGAg3bxxI813THp5+uQJudjbU9miRXXT7RKf+aM3fVq3psjISNmRbHLrv/8sTkYlCxXSzfN3TeLf5yySN6/u/g89u3a12IbGn3wiO5LNvurUyWIb9PBgoPjMH9CUK0sWioiIkB3JZi9evFAaPMsXL5YdJ8WCgoIs3t7XlsIstSvb1dUVJUqWlBkhVVYtW4aOXbrg+MWLqFqtmuw4NiMiZVrFZ+3bY8X69ciSJYvkVLYxHzkrhMD85cvh6uoqMZHt4nf59ujdW3f/h979+1t8rodu7Pimzp4Nr0KFlM/10pVtrmffvpi9YAGEEIiKikp0Wo+W5cmTB+u2bcP0uXOxYc0a2XFSLGfOnChp5TaVGtLvMetZ/UaNMG/JEuTIkUN2lBS5d/cuAl69gk+nTli8ahUcHR1lR7KZ+clz0JAhqP3JJxLTpEwZsyLm6OiIHmbzUvWiYuXKFtMZ9ViYXV1dMX/5cuVZCXoszADQ7euv8dfSpbCzs7M6FVIPhBD4pk8fTPrjD7x580Z2nHQniNJ/rpsQ4iWAh+n8Z90B+Kfz39Qa3ge8DzL79gO8DzL79gNy9sF7RJRHzTdKKcwyCCHOEVEV2Tlk4n3A+yCzbz/A+yCzbz+g/X3AXdmMMcaYhnBhZowxxjQkMxXm+cl/S4bH+4D3QWbffoD3QWbffkDj+yDT3GNmjDHG9CAztZgZY4wxzePCzBhjjGlIpivMQoj+Qoj/hBDXhRCTZOeRRQgxWAhBQgh32VnSkxBishDiphDiihBiixBCX48JSwUhxKdvj/07QoifZOdJT0IILyHEQSHEjbev/QHJ/1TGJISwF0JcFELskJ0lvQkhXIUQG9+eA24IIWok/1PpL1MVZiFEXQCtAJQjotIApkiOJIUQwgtAQwCPZGeRYB+AMkRUDsAtAMMk50kXQgh7AHMANAFQCkBHIUQpuanSVQyAH4joAwDVAfTLZNtvbgCAG7JDSPIHgN1EVBJAeWh0P2SqwgygD4DfiSgSAIjoheQ8skwHMARAphv5R0R7iSjm7aenABSUmScdfQjgDhHdI6IoAGsRd5GaKRDRUyK68PbjUMSdkAvITZX+hBAFATQDoI/3VExDQggXAB8DWAQARBRFREFyU1mX2QpzcQC1hRCnhRCHhRBVZQdKb0KIlgD8iOiy7Cwa8BWAXbJDpJMCAB6bfe6LTFiYAEAI4Q2gIoDTcpNIMQNxF+VG2UEkKALgJYAlb7vyFwohDLJDWeMgO0BaE0LsB5DXypdGIG57cyGuK6sqgPVCiCKUweaMJbMPhgNolL6J0ldS209E295+zwjEdW+uSs9sEgkr6zLUca+GEMIZwCYAA4koRHae9CSEaA7gBRGdF0LUkZ1HAgcAlQD0J6LTQog/APwEYKTcWAlluMJMRA0S+5oQog+AzW8L8RkhhBFxDzN/mV750kNi+0AIURZAYQCX376DTkEAF4QQHxLRs3SM+E4ldQwAgBCiK4DmAOpntIuyJPgC8DL7vCCAJ5KySCGEcERcUV5FRJtl55HgIwAthRBNAWQF4CKEWElEnSXnSi++AHyJyNRTshFxhVlzMltX9lYA9QBACFEcQBZkondZIaKrRORBRN5E5I24A7VSRirKyRFCfApgKICWRJSZ3k/uLID3hRCFhRBZAHQA8LfkTOlGxF2JLgJwg4imyc4jAxENI6KCb1/7HQAcyERFGW/Pc4+FECXerqoP4F+JkRKV4VrMyVgMYLEQ4hqAKABdM1GLicWZDcAJwL63vQaniKi33EjvHhHFCCG+BbAHgD2AxUR0XXKs9PQRgC4ArgohLr1dN5yIdkrMxNJffwCr3l6c3gPQXXIeq/iRnIwxxpiGZLaubMYYY0zTuDAzxhhjGsKFmTHGGNMQLsyMMcaYhnBhZowxxjSECzNjjDGmIVyYGWOMMQ35P54VhqDecPWmAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x117fdc9b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "thresh_df = base_df.copy()\n",
    "thresh_df['thresh'] = thresh_df.apply(lambda c_row: c_row['x_vec']>0.25 and c_row['y_vec']>0.25, 1)\n",
    "\n",
    "fig, ax1 = plt.subplots(1,1, figsize = (8, 8))\n",
    "ax1.quiver(thresh_df['x'], thresh_df['y'], thresh_df['x_vec'], thresh_df['y_vec'], thresh_df['thresh'], cmap = 'hot')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "This can also be shown on the joint probability distribution as "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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/LlL/AAAAQG4IJoZER0dLknx8fFSnTp082/n5+Ukq2mR2e9uAgABt3bpVY8eOVadOneTv76/evXtr9uzZSkhIyHGe1WpVbGysJMnf3z/P/ps3b+6Ym1KSSfYAAACAHcHEkHPnzkmSGjVqlG87Hx8fSVJSUpKuX79eqL7tYWH37t16/vnntW/fPqWmpspqtSouLk5r1qxR3759tXPnzmzn3XqN/OqyWCyO5YLj4+MLVRMAAACQH1blMuTixYuSpNq1a+fbrmbNmpKy9hVJS0vLd3RFkq5du6bvv/9eUtYISFBQkEaOHClfX1+lpaXpyy+/1OLFi3XlyhVNmjRJa9as0f3335+tJkmqVatWoepKS0vLt12JfBEludcsu/4rqJjC5U+UAvuqcl5eXoqJizNcDe503G8oT9xvBvBTdYnxFRpy7do1SVLVqlXzbVetWjXH68zMzAL7TUhIUIMGDZSUlKRnnnlGzz77rONYnTp1NG7cOHXq1EnDhw+X1WrV7NmztWHDhhz933rd3Njrtn+OMtGsddn1XYE1NF1AJeTs4qKGBYxeAqWF+w3lifsNtxOCiSHOzs6Ssh6Lyo/NZitSv76+vtq1a5esVmuue5RIUtu2bTVkyBCtXr1a3377rb777ju1atVKTk6/PNlX2nUVS2x0pRwxOceISbnx8vKSs4uLbly/rqSkJNPl4A7H/YbyxP1W/hpW1p+qvUov+FbWr9C46tWrSyp4xOHW4wWNrtwqr1Bi16tXL61evVqSdOzYMbVq1Upubm6O41evXs33fPvoSkEjKyXSz6/s+q7AWkSbrqDyiImLU8NGjZSUlKQWjRubLgd3OO43lCfut/KXXjkf9JCiSu8fq5n8boh9jsalS5fybWefw+Hk5FTgfJSisE9el6Tk5ORsNRWlLk9Pz1KrCQAAAJUXwcQQX19fScp12d5bJSYmSsoakr31UauCFPSoldVqdby2j954e3s7RkDyq8tmszmGhW8NOAAAAEBxEUwMadGihSQpLi5Oly9fzrOdfbNE+0aLBXn77bfVpUsXBQYG5vuY2KlTpxyvmzZtKilrVKZZs2bZrpubmJgYR7Cx77MCAAAAlATBxJAePXpIkm7cuKE9e/bk2iYxMdGxEWO3bt0K1a+np6eSk5N15coV7d+/P892X3zxhSTJzc1N7du3z1HX/v37deXKlVzP3bVrlySpSpUq6tSpU6HqAgAAAPJDMDGkcePGjkCwcOHCHHM6bDab5s6dq5s3b8rT01MDBgwoVL99+vRxTHx/6623cl1iePPmzY5wERwcrBo1ajiO9e/fX87OzkpNTVV4eHiOcxMSErRixQpJ0pNPPlngficAAABAYRBMDHrllVfk5OSkM2fOKCQkRPv27VNycrKOHz+u0NBQRURESJJCQ0OzrZglSUFBQQoKCtLUqVOzvd+wYUONGTNGUtbjWk899ZS++uor/fTTT4qNjdXf/vY3vfzyy5KkZs2aKTQ0NNv5vr6+CgkJkSQtX75cs2bNUmxsrJKTk7Vt2zYNGzZMKSkp8vDw0Lhx48rkewEAAEDlw3LBBgUEBOj111/XzJkzFRMTo7Fjx+ZoM3r0aA0bNizH+6dPn5Yk1atXL8exyZMnKyUlRevWrVN0dHSuAaJ169Z6//33cwQeSXrppZcUFxenPXv2aN26dVq3bl22425ublqyZIl8fHwK/VkBAACA/BBMDBs4cKDatGmj5cuX68CBA/r555/l5uYmf39/hYSEqHfv3kXu08nJSbNnz1afPn20du1aHT58WBcvXpS7u7uaN2+uxx57TIMHD5aLS+5//FWrVtWSJUu0adMmbdiwQd99950yMjJUv359de3aVX/4wx/UmDXRAQAAUIostnLZwhsoBr/8d5+/U7mzwWK5sW9Adi4+ng3IUOa431CeuN/KHxsslhxzTAAAAAAYRzABAAAAYBzBBAAAAIBxBBMAAAAAxhFMAAAAABhHMAEAAABgHMEEAAAAgHEEEwAAAADGEUwAAAAAGEcwAQAAAGAcwQQAAACAcQQTAAAAAMYRTAAAAAAYRzABAAAAYBzBBAAAAIBxBBMAAAAAxhFMAAAAABhHMAEAAABgHMEEAAAAgHEEEwAAAADGEUwAAAAAGEcwAQAAAGAcwQQAAACAcQQTAAAAAMYRTAAAAAAYRzABAAAAYBzBBAAAAIBxBBMAAAAAxhFMAAAAABhHMAEAAABgHMEEAAAAgHEEEwAAAADGEUwAAAAAGEcwAQAAAGAcwQQAAACAcQQTAAAAAMYRTAAAAAAYRzABAAAAYBzBBAAAAIBxBBMAAAAAxhFMAAAAABhHMAEAAABgHMEEAAAAgHEEEwAAAADGEUwAAAAAGEcwAQAAAGAcwQQAAACAcQQTAAAAAMYRTAAAAAAYRzABAAAAYBzBBAAAAIBxBBMAAAAAxhFMAAAAABhHMAEAAABgHMEEAAAAgHEupguAdOLECS1btkwHDhxQcnKyPDw85O/vr5CQEHXv3r3Y/R4+fFgfffSRvvnmG124cEEuLi7y8fHRgw8+qN///vdq2LBhrufZbDZ17NhRly5dKvAahw4dkru7e7FrBAAAACSCiXE7d+7UpEmTZLVaHe9duHBBu3fv1u7duzVixAjNmDGjyP2+/fbbWrZsWbb3MjMzderUKZ06dUr/+Mc/9Pbbb6t37945zv3hhx8KFUoAAACA0kIwMSgqKkpTpkyR1WpVQECApk6dqubNmys+Pl5LlizRjh07tGrVKvn6+mrYsGGF7nf16tWOUNKhQwc988wzat26tVJSUnTw4EGFhYXp4sWLev755/XJJ5+odevW2c4/fvy4JMnV1VWRkZGqUqVKntditAQAAAClgTkmBs2fP19Xr15VkyZNtHLlSnXq1Emenp4KCAhQeHi4goKCJEkLFizQ5cuXC9VnZmamFixYIEnq1KmTVq5cqQcffFB16tTRPffco+DgYK1fv161atVSZmamwsLCcvRhDyYtWrSQp6en3N3d8/wFAAAAlAaCiSGxsbHas2ePJGn8+PE5fsi3WCyaNm2anJyclJKSou3btxeq33//+99KTU2VJIWGhsrFJeegWKNGjTR48GBJ0tdff53tMTIpayRHkvz9/Yv0mQAAAIDiIpgYEhkZKSkrgPTs2TPXNt7e3o7HrHbs2FGofhMTE+Xm5iZJuv/++/Ns16RJE0mS1WrVxYsXsx2zB5P77ruvUNcEAAAASopgYkh0dLQkycfHR3Xq1MmznZ+fn6RfHq8qSHBwsA4fPqxvvvlGVatWzbPd2bNnHa9r1arleB0fH6+UlBRJUr169TR37lwFBQXJ399fHTt21MiRI7Vp0ybZbLZC1QMAAAAUBpPfDTl37pykrMeq8uPj4yNJSkpK0vXr13N9NCs3NWrUyPNYRkaGPv/8c0lSmzZtVK1aNccx+2iJJE2cODHbY15Wq1UHDhzQgQMHtHnzZoWFhTHPBAAAAKWCYGKI/fGp2rVr59uuZs2akrL2FklLS8t3dKWw3nzzTV24cEGScqz2devITO3atTVx4kR169ZN7u7u+u6777R48WIdPHhQe/fu1UsvvaT33nuvxPXk6Ysoyb1m2fVfQcVcN11B5eHl5eX4PSYuznA1uNNxv6E8cb8ZwE/VJcZXaMi1a9ckKd/HrSRlG83IzMws8XVXrFihtWvXSspaSvh3v/tdtuPp6emqWbOm3N3d9cknn6hBgwaOY7/5zW/UuXNnTZo0Sdu3b9fOnTu1e/fuPOfIlFiz1gW3uQPlvu0lypKzi4saFjB6CZQW7jeUJ+433E4IJoY4OztLypr8np/SnMuxYsUKzZkzR5LUoEEDvfPOO3Jyyj7NaMaMGZoxY4YyMzNz3b/E2dlZs2bN0p49e2S1WrVhw4ayCyax0ZVyxOQcIyblxsvLS84uLrpx/bqSkpJMl4M7HPcbyhP3W/lrWFl/qvYqveBbWb9C46pXry7pl5GTvNx6vKDRlbzYbDbNmzdPS5culZQ1qf3DDz/MNhrya/ltqli/fn0FBATo0KFDOnr0aLFqKpR+fmXXdwXWItp0BZVHTFycGjZqpKSkJLVo3Nh0ObjDcb+hPHG/lb/0yvmghxRVev+Izqpchtjnjly6dCnfdmlpaZIkJyenAuej5Obq1auaNGmSI5Q0atRIa9asUbNmzYrc163sk/J/vdQwAAAAUBwEE0N8fX0lSQkJCfm2S0xMlJQ1JPvrx64KkpycrN///vfatm2bpKwVuNatW+fYwyQ/BT1CZl+tyz7yAwAAAJQEwcSQFi1aSJLi4uJ0+fLlPNvZl++1b7RYWOfPn1dwcLCOHDkiSerZs6dWr16tu+66K89zkpKS9NBDD6lt27YKDw/Pt/9Tp05Jkpo2bVqkugAAAIDcEEwM6dGjhyTpxo0b2rNnT65tEhMTHRsxduvWrdB9X7x4UaNGjXJsojhkyBAtWrTIsSN8XurVq6fU1FRlZGRo7969ebaLiopSbGysJKl79+6FrgsAAADIC8HEkMaNG6t9+/aSpIULF+aYa2Kz2TR37lzdvHlTnp6eGjBgQKH7fvXVV/X9999LkkaOHKnZs2c7VgHLj7Ozsx577DFJ0rFjx7Rx48YcbdLT0zVjxgxJkpubm4KDgwtdFwAAAJAXgolBr7zyipycnHTmzBmFhIRo3759Sk5O1vHjxxUaGqqIiAhJUmhoaI7RjqCgIAUFBWnq1KnZ3t+9e7d27twpSWrXrp2ee+45paen5/vr1vkkEydOlIeHh6SspYPDwsJ08uRJJScna9euXQoODnZswvjqq6+qXr16Zfb9AAAAoPJguWCDAgIC9Prrr2vmzJmKiYnR2LFjc7QZPXp0jt3ZJen06dOSlCMYrFy50vH68OHD6tChQ4F17Ny5U43+f/OlBg0aaOnSpXrmmWd04cIFLV68WIsXL87W3tXVVS+99JIGDRpU8IcEAAAACoFgYtjAgQPVpk0bLV++XAcOHNDPP/8sNzc3+fv7KyQkRL179y5Sf6Wxr8h9992nzZs3a/Xq1dq1a5dOnz6tGzduqEGDBurSpYtGjBih5s2bl/g6AAAAgJ3FVppbiwOlyc9iugIj3NlgsdzYNyA7Fx/PBmQoc9xvKE/cb+WPDRZLjjkmAAAAAIwjmAAAAAAwjmACAAAAwDiCCQAAAADjCCYAAAAAjCOYAAAAADCOYAIAAADAOIIJAAAAAOMIJgAAAACMI5gAAAAAMI5gAgAAAMA4ggkAAAAA4wgmAAAAAIwjmAAAAAAwjmACAAAAwDiCCQAAAADjCCYAAAAAjHMxXUBhZGZmKjExUampqbp69aqqVaum2rVry8fHR66urqbLAwAAAFBCFTKYXL58WXv37lVkZKSOHj2qM2fOyGaz5WhnsVjk6+ur+++/X127dlX37t1Vo0YNAxUDAAAAKIkKFUwOHz6s1atXa+fOnbp27Zrj/dxCif3977//Xt9//70+++wzVa1aVb1791ZISIgCAwPLq2wAAAAAJVQhgsn+/fsVFhamo0ePSsoeRFxdXdW4cWPVrl1bHh4eqlGjhi5duqSUlBSlpqYqPj5eVqtVknT16lVt2bJFW7Zs0f3336/JkyfrgQceMPKZAAAAABSe0WBy9uxZ/fWvf9W+ffskZQWSqlWr6sEHH1SnTp3Utm1b+fn5qUqVKnn2kZmZqePHj+vo0aP6z3/+o3379unatWs6cuSIRo8era5du2rmzJm6++67y+tjAQAAACgio8GkX79+slqtstls8vf3V3BwsPr27Ss3N7dC91GlShW1a9dO7dq106hRo3TlyhVt2bJFn3zyif73f/9XkZGR6tevn2M0BgAAAEDFYzSYZGZmqlOnTnrmmWdK7ZErNzc3DR48WIMHD9b+/fv13nvv6T//+U+p9A0AAACgbBgNJu+//7569OhRZv0/8MADeuCBB/TVV1+V2TUAAAAAlJzRDRbLMpSYuA4AAACA4qmQO78nJCSYLgEAAABAOaqQweSxxx7Te++9p8zMTNOlAAAAACgHFTKYZGRkaOHChXr88ce1e/du0+UAAAAAKGMVMpjcf//9stls+uGHH/TMM89o/Pjx+uGHH0yXBQAAAKCMVMhgsm7dOv3lL39RnTr5wX59AAAgAElEQVR1ZLPZtHfvXj3++OMKCwvT1atXTZcHAAAAoJRVyGAiSYMHD1ZERISCg4NlsViUmZmp999/X3369NG2bdtMlwcAAACgFFXYYCJJtWrV0p///GetX7/e8XhXYmKiJk+erDFjxuj77783XSIAAACAUlChg4mdn5+f1q1bp7/+9a+Ox7v+/e9/q3///nrzzTeVnp5uukQAAAAAJXBbBBO7QYMGKSIiQkOHDpXFYtH169e1YsUKBQUF6YsvvjBdHgAAAIBiuq2CiZT1eNef/vQnrV+/Xm3btpXNZtOFCxc0depUDR8+XCdOnDBdIgAAAIAiuu2CiZ2fn58+/vhjvf76647Hu/773//qySef1F//+lddunTJdIkAAAAACum2DSZnz57Vpk2bFBUVpdq1a0uS4/GuNWvW6NFHH9Vnn31muEoAAAAAheFiuoDCSEtL07Fjx3TkyBEdO3ZMx44dU2pqao52NpvN8XtycrKmT5+ujRs3au7cufL29i7vsgEAAAAUUoUMJlFRUTp69Kjj19mzZx2hQ1K215JUu3ZttWvXToGBgQoMDFRSUpLmz5+vuLg4HTx4UE888YQWLFigzp07l/dHAQAAAFAIFTKYDBw4UBaLxfHfvw4iTZo0cYSQwMBANWvWLEcfjz76qJYvX65FixYpNTVVEyZM0D/+8Q/de++9ZV4/AAAAgKKpkMFE+iWMuLq6qk2bNtmCSJ06dQo839XVVRMmTFDHjh01duxYXb16VcuXL9ecOXPKunQAAAAARVQhg8lvf/tbtW/fXoGBgQoICFCVKlWK3Vf79u01dOhQffjhhzp48GApVgkAAACgtFTIYLJkyZJS7a99+/b68MMP9eOPP5ZqvwAAAABKx227XHBRVK1aVZJ0/fp1w5UAAAAAyE2FHDEpbX5+fnrxxRf17bffmi4FAAAAQC4qRTCpW7eunn76adNlAAAAAMhDpXiUCwAAAEDFRjABAAAAYBzBBAAAAIBxBBMAAAAAxhFMAAAAABhHMAEAAABgHMEEAAAAgHF31D4mI0eOlCTVqVNHEyZMUKtWrQxXBAAAAKAw7qhgcvDgQVksFknSl19+qT59+mjSpEm6++67DVeWvxMnTmjZsmU6cOCAkpOT5eHhIX9/f4WEhKh79+7F7jc+Pl5Lly7Vvn37dP78edWoUUMtW7bU4MGD9fjjj+d7rs1m06ZNm7R+/XpFR0fLarXKy8tLPXr00JgxY+Tt7V3sugAAAIBfs9hsNpvpIkrLr0dILBaLnJ2dNXjwYP3pT38yVFX+du7cqUmTJslqteZ6fMSIEZoxY0aR+z127JhGjRql9PT0XI8/8sgjevfdd+XikjOb3rx5Uy+++KK2bNmS67k1a9ZUeHi4HnjggSLXVSR+lrLtv4JyjzZdQeURExenho0a6Vx8vFo0bmy6HNzhuN9Qnrjfyl96a9MVGBJVelHijppjMmfOHM2ZM0ezZs1S37595eHhoevXr+vjjz82XVquoqKiNGXKFFmtVgUEBGjVqlXav3+/1q9fr969e0uSVq1apTVr1hSp36SkJI0bN07p6elq2rSp3n//ff373//W5s2b9dRTT0nKGlGaN29erue/++67jlAyevRoRURE6F//+pfCwsLk7e2tS5cuKTQ0VElJSSX49AAAAMAv7qgRk9xER0fr66+/1tNPP226lBzGjx+vPXv2qEmTJvrss8/k7u7uOGaz2TR58mRFRETIw8NDO3fuVI0aNQrV7+zZs7VmzRrVqlVLW7ZsUf369bMdf/PNN/XBBx/I1dVVERERatSokePY+fPn1atXL1mtVv3hD3/Qiy++mO3cc+fOaeDAgUpJSdFTTz2lv/zlLyX4BgrAiAnKGP+iiPLE/YbyxP1W/hgxKbk7asQkN61bt66QoSQ2NlZ79uyRlBVQbg0lUtZjaNOmTZOTk5NSUlK0ffv2QvWblpam9evXS8p6DOzXoUSSQkNDVatWLVmtVm3cuDHbsdWrV8tqtcrNzU0TJkzIcW7Dhg01atQoSdIXX3yhjIyMQtUFAAAA5KdCBpPK8MNuZGSkpKwA0rNnz1zbeHt7q3XrrPi9Y8eOQvV74MABXbt2TZLUq1evXNu4ubmpS5cuufb71VdfSZI6d+6c5wiNvd+MjAx9/fXXhaoLAAAAyE+FDCa///3vlZqaarqMMhUdnfW8jo+Pj+rUqZNnOz8/P0nS8ePHi9Svi4uLWrZsmWc7e+CJiYlRZmamJMlqtSo2NlaS5O/vn+e5zZs3l6ura5HqAgAAAPJTIYPJsWPHNGzYMJ0/f950KWXm3LlzkpRtfkdufHx8JGVNaL9+/Xqh+/Xy8sp1xa1f93vjxg3HJPZbr5FfXRaLxbFccHx8fIE1AQAAAAWpsPuYxMbGaujQoVq+fLl8fX2LdO6PP/6Y69yKiuTixYuSpNq1a+fbrmbNmpKyJsOnpaXlO7pSnH4lOUan7OdKUq1atQp1flpaWr7tSuSLKMm9ZsHt7jAxBedPlBIvLy/H7zFxcYarwZ2O+w3lifvNgAr7U/Xto0J+hc8//7zeffddJSYmKiQkREuXLs330SK7y5cv6/3339fq1at1+PDhcqi0+OzzQKpWrZpvu2rVqjle2x+5Ku1+7efc2v+tx3Nj799+bploVjmXt2houoBKyNnFRQ0LGL0ESgv3G8oT9xtuJxUymIwfP15169bVn/70J128eFEjR47UokWLHBO2f81qtWrNmjVasmTJbTM3xdnZWZIcO9XnpairOZekXyenX57sK+26iiU2ulKOmJxjxKTceHl5ydnFRTeuX2dfHpQ57jeUJ+638tewQv5UXQ68Si/4VtivcNCgQfL09NSUKVN05coVjR8/Xm+99ZaCgoKytdu0aZPmz5+vxMRESVk/MFevXt1EyUVir7GgEYdbjxc0CnJrv1evXi10v/bRETc3N8d7BZ1vH10paGSlRPr5lV3fFVgL9jEpN/Z1/pOSkljnH2WO+w3lifut/LGPSclVyMnvdr169dLy5ctVq1YtZWZm6oUXXnDs4h4ZGaknnnhC06ZNU2Jiomw2m5ydnTV06FB9+eWXhisvmH2OxqVLl/JtZ5/D4eTkVOC8EemXuSGXL18uVL+S5Onpma2motRlPxcAAAAoiQo7YmLXoUMHrVq1SmPHjtVPP/2k1157TR999JFOnjwpKWuExMnJSf3791doaGiBq1xVFL6+vjp48KASEhLybWcfCfLy8sr2qFVemjZt6jjPZrPl+UiWvV8XFxfVq1dPUta+KdWqVdPVq1fzrctmszmGhe2rcwEAAAAlUaFHTOxatmyp8PBwx/yJmJgY2Ww22Ww29e7dW59//rnefPPN2yaUSFKLFi0kSXFxcfmObkRFRUn6Zd+RwvabmZmpU6dOFdjvvffeqypVqkjKGpVp1qxZtuO5iYmJkdVqlfTLPisAAABASVT4YJKWlqZ58+Zp9OjRunnzpuN9i8WiQYMGKTw8XPfee6/BCounR48ekrL2EdmzZ0+ubRITEx0bJnbr1q1Q/Xbu3Nkxz2TXrl25trly5Yr279+fa7/2uvbv368rV67ker693ypVqqhTp06FqgsAAADIT4UNJunp6Vq0aJF69eqlZcuWKSMjQzabTXfffbe8vb1ls9m0YcMG/e1vfzNdarE0btxY7du3lyQtXLgwx5wOm82muXPn6ubNm/L09NSAAQMK1a+bm5sefvhhSdIHH3yQ6yNZCxcuVFpamlxdXTV8+PBsx/r37y9nZ2elpqYqPDw8x7kJCQlasWKFJOnJJ58scL8TAAAAoDAqZDD54IMP1Lt3b4WHh+vSpUuy2WyqW7euZs6cqS1btmjt2rW65557ZLPZtHz5cr3yyivZRlNuF6+88oqcnJx05swZhYSEaN++fUpOTtbx48cVGhqqiIgISVJoaGi2FbMkKSgoSEFBQZo6dWqOfqdMmSI3NzelpKRo2LBh2rZtm5KTkxUbG6tZs2bpgw8+kCSNGDHCsQGTna+vr0JCQiRJy5cv16xZsxQbG6vk5GRt27ZNw4YNU0pKijw8PDRu3Liy+FoAAABQCVls5bIhRdG0atVKFovFsfTv6NGjNXbsWLm7uzvapKSkaNy4cTp27JgsFot++9vfav78+Y75EreLTz/9VDNnztT167lvXjF69GhNmzYtx/stW7aUJHXq1EmrVq3KcTwyMlKhoaHKyMjItd+goCC9++67uU6ov3btmp577rk8HzFzc3PTBx98oHbt2uX1sUqHX/57qdyp3FkuuNzYl9M8Fx/Pcpooc9xvKE/cb+WP5YJLrkKOmEhZGwUOGTJE27dv13PPPZctlEiSh4eHVq5cqQcffFA2m0179uzR6NGjC1zmtqIZOHCgPv30Uw0YMEBeXl5ydXVV7dq19eCDD2rRokW5hpLC6Natm7Zs2aLg4GA1atRIrq6ucnd3V/v27fXGG28oLCwsz1W+qlatqiVLlujNN99Up06dVKtWLbm6uqphw4YaMmSIPv/887IPJQAAAKhUKuSIybPPPqsXXnhBvr6+Bba9fv26pk6dqq1bt8pisah58+Zavny5Ywlc3MYYMUEZ418UUZ6431CeuN/KHyMmJVchR0zCw8MLFUqkrH045s2bp5CQENlsNp08eVLBwcFlXCEAAACA0lQhg0lRWSwWzZo1SxMnTpTNZitw00IAAAAAFcsdEUzsQkNDNXPmzDx3OwcAAABQMbmYLqC0DRs2TJ6enqbLAAAAAFAEd9SIiV3fvn1NlwAAAACgCIwGkxMnTpTLdaKjWeYIAAAAqMiMBpOBAwdq+vTp+uGHH8qk/5MnTyo0NFRPPvlkmfQPAAAAoHQYnWNy48YNffbZZ9q0aZMeeeQRBQcHq3PnziXuc+/evfrss8+0Y8cO3bx5k8nwAAAAQAVnNJisXr1ar732mk6ePKmIiAhFRETI29tbDz/8sDp27Ki2bdvqrrvuKrCfCxcu6OjRo9q/f7/++c9/Kjk5WZJks9nUokULzZo1q6w/CgAAAIASMBpMOnTooE2bNunTTz/Ve++9p4SEBCUkJOjvf/+7/v73v0uSvL295evrKw8PD3l4eMjd3V2XL19WamqqUlJS9P333yspKcnRp30jex8fH02cOFG/+93v5OR0R87xBwAAAO4YxpcLdnJy0qBBg/TEE09oy5YtWrt2rY4cOeI4npiYqMTExHz7sIcRSWrXrp2GDRumPn36yNnZuczqBgAAAFB6jAcTOxcXFw0YMEADBgzQ6dOntX37dkVGRurbb79VRkZGnue5u7srICBA3bp108MPP6y77767HKsGAAAAUBoqTDC5la+vr8aNG6dx48bJZrMpLi5O586dU0pKijIzM1WlShV5eHioUaNGatSoEZPbAQAAgNtchQwmt7JYLLr77rsZCQEAAADuYMwKBwAAAGDcbR1MZs+erbS0NNNlAAAAACih2zqYfPTRR+rTp482bNhguhQAAAAAJXBbB5Pp06crMzNTM2bMUHBwsKKjo02XBAAAAKAYbutgMnLkSEVEROjxxx/XkSNHNGjQIB7vAgAAAG5Dt3UwkaS6devq7bff1qpVq3TPPffoo48+0qOPPqr169ebLg0AAABAId32wcSuY8eO2rhxo15++WVlZmZq5syZGjJkiKKiokyXBgAAAKAAd0wwkSRnZ2eNHj1aW7duVVBQkI4eParBgwfrtddeU2pqqunyAAAAAOThjgomdnXr1tXo0aPVu3dv3bhxQx9//LGCgoJ4vAsAAACooCr8zu+FkZiYqCNHjujo0aM6cuSIoqOjlZmZ6Tju7Oys9PR0zZw5U5s2bdLcuXPVsGFDgxUDAAAAuJXRYLJkyRK1atVKHTt2lLu7e5HPDw0N1ZEjR/TTTz9Jkmw2myTJ3d1dHTp0UGBgoAIDA9W2bVtdunRJ77zzjjZu3KjBgwdrxYoVatGiRal+HgAAAADFU6bBJCMjQ9WrV8/zeFhYmCwWi8LDw9WrV68i9799+3ZJkpeXlwIDA9W+fXsFBgaqZcuWcnLK/pRa9erVNXfuXD300EOaPHmy5s2bp/fff7/I1wQAAABQ+sosmERHR+uPf/yjHn74Yb3yyis5gkJ+Fi9erBYtWqhz586qUaNGnu3efvtttW/fXj4+PoXu+5FHHtGDDz6oQ4cOFfocAAAAAGWrTCa/79ixQyEhIUpKStLq1as1btw4Xb58OUc7V1dXSdLNmzezvT9//nw9++yzOnDgQL7X6devX5FCiV39+vVzrQcAAACAGaUeTPbv36/nnntOHTp0kCQFBgbq0KFDmjBhQo62tWvXliT9+OOPpV1GvsaMGaPp06eX6zUBAAAA5K3Ug0lycrKGDx/umL/RqVMnrV271jE6cqvmzZvLZrPp888/l9VqLe1S8tSsWTONGDGi3K4HAAAAIH+lHkweeughTZ8+PduckpYtW2rx4sU52vbu3VuSdOzYMQ0cOFCrVq3SyZMnS7skAAAAABVcqU9+r1atWqHff+qpp7RhwwZFRUXp1KlTeuONN7IdX7dunZKSkuTn56dWrVrlu8IXAAAAgNuX0X1MXF1dtXLlSr311lvauHFjtse5bDabIiMjFRkZKUmyWCxq0qSJ/Pz8HL9at24tDw8PU+UDAAAAKCXGd36vWbOm/vKXv+j555/X119/rf/+979at26dLBaLY8NEKSuonD59WmfOnNHWrVsd73t7e6t169Zq3bq12rRpIz8/PzVo0MDERwEAAABQTMaDiV2dOnXUr18/9evXT+vWrZMk/fnPf1a9evUUFRXl+HX+/Pls5yUkJCgxMVG7du1yvOfp6al//etf5Vo/AAAAgOKrMMEkN/Xq1VOvXr2y7QqfnJycLahERUUpLi4u2+jKxYsXTZQLAAAAoJgqZDB57bXXdOrUKdWvXz/HsTp16qhr167q2rWr473Lly8rOjo6W1gBAAAAcPuokMFkyJAhRWpfo0YNdezYUR07diyjigAAAACUpVLfxwQAAAAAiqpMR0zeeecd3XvvvWV5CQAAAAB3gDINJn379i3L7gEAAADcIXiUCwAAAIBxBBMAAAAAxhFMAAAAABhHMAEAAABgHMEEAAAAgHEEEwAAAADGEUwAAAAAGEcwAQAAAGAcwQQAAACAcQQTAAAAAMYRTAAAAAAYRzABAAAAYBzBBAAAAIBxBBMAAAAAxrmYLgBScnKyli5dqt27d+vcuXOqXr267rnnHvXv319DhgyRs7Nzsfs+d+6cVq1apa+//lrx8fGyWq2qV6+eAgMDNXz4cLVr1y7PcydMmKDdu3cXeI0lS5aoZ8+exa4RAAAAIJgYFhcXp6FDh+rChQuO9zIzM3X48GEdPnxYn3/+uZYtW6YaNWoUue9t27Zp2rRpunLlSrb3ExISlJCQoM2bN2vChAl6/vnncz0/KiqqyNcEAAAAioNgYtCVK1c0duxYXbhwQfXq1dO0adPUpUsXXb58WevXr9fy5ct1+PBhTZ8+XQsWLChS38ePH9cLL7wgq9UqHx8fTZ48WQ888IBsNpuOHz+usLAwxcTEaMmSJfLy8tLQoUOznf/zzz/r/PnzkqT/+Z//UYcOHfK8VrVq1Yr+4QEAAIBbEEwMWrt2rc6ePSsXFxctX75cLVu2lCTVrVtXL7zwgry8vDR79mxt27ZN33zzjdq3b1/ovsPCwmS1WlWnTh19/PHHatCggeOYl5eXunXrpuHDh+vo0aMKCwvTk08+qSpVqjjafPvtt5Iki8WiwMBAubu7l9KnBgAAAHJi8rshNptNK1askCQ9/vjjjlByq6FDh8rX11eStH79+kL3ffnyZf3rX/+SJA0bNixbKLGrUqWKJk6cKElKSUnRkSNHsh23P8bVtGlT1axZs9DXBgAAAIqDYGJIdHS0fvzxR0lSr169cm3j5OTkmFS+a9cu2Wy2QvUdHx/vmJNy33335dnu7rvvdry212JnDyb5nQ8AAACUFh7lMiQ6Otrxuk2bNnm2a926taSsUY34+Hg1bty4wL5btWqlAwcO6Nq1a3Jyyjt7/vDDD47XtWrVynbs+PHjkqR7771XH3zwgbZu3apTp07JYrGoSZMmCgoK0siRI+Xm5lZgPQAAAEBBCCaGnDt3TpLk4uIiLy+vPNv5+Pg4Xhc2mNhVrVo13+Nr16511NC2bVvH+ykpKY76FixYIKvVmu286OhoRUdHa/369Vq6dKnjcTMAAACguAgmhly8eFGSVKNGjXz3Kbl1fkdqamqpXX/r1q2OPUoef/zxbCMm9tESu3Hjxql///666667dO7cOX3yySdat26d4uLi9PTTT+vTTz9V7dq1S602hy+iJPfKN78l5rrpCioP+z8KeHl5KSYuznA1uNNxv6E8cb8ZwE/VJcZXWALvvfee5s+fX6Rzfve732nu3Lm6du2apIJHNW5ditd+TkkdOnRI06dPlyR5enpqypQp2Y7//PPPuuuuu5SamqqlS5eqS5cujmOenp7y9/fXPffcozlz5ig+Pl5LlizRyy+/XCq1ZdOsden3eRtoaLqASsjZxUUNGzUyXQYqCe43lCfuN9xOCCaG2EdJLBZLvu0KO+G9sP7zn/9owoQJysjIkKurq955550cq3b1799f/fv3V2ZmZrYlhG81atQobdiwQTExMfr00081derUAj9LkcVGV8oRk3OMmJQbLy8vObu46Mb160pKSjJdDu5w3G8oT9xv5a9hZf2p2qv0gm9l/QpLxdChQ/Xoo48W6Rz7o1nVq1eXJF29ejXf9reOkpR0I8Mvv/xSL774oq5duyYXFxf97W9/029+85s82+cVSuweeughxcTEKCUlRWfPnlXTpk1LVF8O/fxKt7/bRIvogtugdMTExalho0ZKSkpSiyLM3wKKg/sN5Yn7rfylV84HPaSo0vtHdIJJCXh6esrT07NY59rndKSnp8tms+U52nDp0qVs1yuupUuXat68ebLZbKpWrZrmz5+v3/72t8XuT8o+MT85Obn0gwkAAAAqDYKJIfYf4q1Wq3788cdcN0GUpISEBMdrb2/vIl/nxo0beu2117Ru3TpJWeFmyZIl2Vbhykt+gUlSttW6WDYYAAAAJcEGi4a0aNHC8frWPU1+zb7RYa1atdSoiJPXrFarQkNDHaGkadOmWrduXYGhZPjw4erYsaNGjhyZb7tTp05JypovU5RljAEAAIBfI5gY0rx5czVsmLX+0q5du3Jtc/PmTceSvl27di3S5HKbzaaXXnpJO3fulCTdf//9Wrt2rZo0aVLguW5ubkpLS9Phw4eVlpaWa5tr165p+/btkqT27dvL3d290LUBAAAAv0YwMcRisah///6SpE8//dQxMnKrtWvX6syZM5Kk0aNHF6n/lStX6p///KckqV27dlqxYoXq1KlTqHPtdVmtVs2dOzfXNq+//rp++uknSdKYMWOKVBsAAADwawQTg55++mk1aNBAVqtVo0eP1vr163XhwgXFxcXp3Xff1euvvy5JevTRR3XfffflOH/q1KkKCgpSUFBQtvd//vlnhYWFSZI8PDw0d+5c2Ww2paen5/nr+vVf1qjt27evAgMDJUkbNmzQpEmTdPToUSUnJ+vIkSN69tlnHY+HPfHEE+rZs2eZfD8AAACoPJj8blCNGjW0ZMkSjRkzRhcvXtSrr76ao0379u311ltv5Xp+YmKiTp8+neP9devWKSMjQ5KUkpJSqCWN58yZo4EDB0qSnJyctGjRIv3xj3/UkSNHFBERoYiIiBzn9OvXzxGeAAAAgJIgmBjm5+enrVu3atmyZdq1a5cSEhLk5OSkZs2aqV+/fho2bJhcXV2L1OfRo0dLXFedOnW0Zs0abdy4UZ9//rlOnDih9PR0eXp6qm3btvq/9u49rsoq0f/4d+PGCyIKZkHqeEvxgpiSmqfUyXJ0nMSpLCPLo2illtnVzGlmyqk5ZnW8lccCrJkijx2kGR0dzVJL56U2ImoK6WjZcBEjEVFU2Mj+/cFvP4Fy25sNS+Dzfr16vZ72s571rI3rBfu717PWGj9+vIYPH17j+wAAAACSZHN6e2txwFt6e3kn+XqiJRss1hnXBmQZ6elsQIZaR39DXaK/1T02WKw55pgAAAAAMI5gAgAAAMA4ggkAAAAA4wgmAAAAAIwjmAAAAAAwjmACAAAAwDiCCQAAAADjCCYAAAAAjCOYAAAAADCOYAIAAADAOIIJAAAAAOMIJgAAAACMI5gAAAAAMI5gAgAAAMA4ggkAAAAA4wgmAAAAAIwjmAAAAAAwjmACAAAAwDiCCQAAAADjCCYAAAAAjCOYAAAAADCOYAIAAADAOIIJAAAAAOMIJgAAAACMI5gAAAAAMI5gAgAAAMA4ggkAAAAA4wgmAAAAAIwjmAAAAAAwjmACAAAAwDiCCQAAAADjCCYAAAAAjCOYAAAAADCOYAIAAADAOIIJAAAAAOMIJgAAAACMI5gAAAAAMI5gAgAAAMA4ggkAAAAA4wgmAAAAAIwjmAAAAAAwjmACAAAAwDiCCQAAAADjCCYAAAAAjCOYAAAAADCOYAIAAADAOIIJAAAAAOMIJgAAAACMI5gAAAAAMI5gAgAAAMA4ggkAAAAA4wgmAAAAAIwjmAAAAAAwjmACAAAAwDiCCQAAAADj7KYbACknJ0cxMTHaunWrMjIy1KJFC3Xt2lWRkZGaMGGCmjRp4lG9hw4d0t13311luT59+igxMbHcc3v27NH777+vvXv3Ki8vT0FBQYqIiNCkSZPUv39/j9oFAAAAXI5gYlhaWpqioqKUnZ1tvVZYWKjk5GQlJydr7dq1io2Nlb+/v9t1p6Sk1Kht8fHx+sMf/iCn02m9dvLkSW3YsEEbN27Us88+q6lTp9boHgAAAIBEMDHq/Pnzmjp1qrKzs9WuXTvNnTtXQ4YM0blz55SQkKC4uDglJydr3rx5Wrp0qdv1Hzp0SPELb2sAACAASURBVJI0YMAAxcbGVliuvBGZL774Qq+88oqcTqeGDh2qJ554Qh07dtSxY8e0aNEi7dmzR6+//rq6du2q2267ze22AQAAAKUxx8SgVatW6fvvv5fdbldcXJzuvPNOtW3bVp06ddIzzzyj3/zmN5KkTZs2KSkpye36XcGkX79+atmyZYX/NW/evMx1TqdTb7zxhoqLizVgwACtWLFC4eHhCgwM1E033aT33ntP/fv3l9Pp1Guvvabi4uKa/zAAAADQqBFMDHE6nXr//fclSXfeeadCQ0OvKBMVFaUuXbpIkhISEtyq/9KlSzpy5IgkqW/fvm5du2PHDuva2bNny24vO7DWtGlTPffcc5Kk7777Tnv27HGrfgAAAOByBBNDUlNT9cMPP0iSbr/99nLL+Pj4WI9Jbdmypcxcj6ocPXpUFy9elCSFh4e71bYvvvhCkhQQEKCBAweWW2bAgAEKCgqSJH322Wdu1Q8AAABcjmBiSGpqqnXcp0+fCsv16tVLkpSbm6v09PRq1+96jKtNmzY6deqUnn32WQ0bNkxhYWG65ZZb9MQTT2jv3r3lXvvNN99Iknr27FnhimA2m009e/Yscy8AAADAUwQTQzIyMiRJdrtdwcHBFZa7/vrrrWN3golrRa78/HxNmDBB69at08mTJ+VwOPTjjz9q06ZNioqK0qJFiypsW4cOHSq9h6tt7rQLAAAAKA+rchly+vRpSZK/v3+l+5S0atXKOj5z5ky16z948KAkyeFwqE+fPpo5c6bCw8PldDq1a9cuLV26VOnp6VqxYoUCAwM1efLkK9rWunXrSu/halteXl612+WWdSlSy1ZVl2tgjhSZbkHj4fpSIDg4WEfS0gy3Bg0d/Q11if5mAJ+qa4wfYQ0sX75cS5Ysceuau+66SwsWLFBBQYEkqVmzZpWWL71iluua6igqKlKzZs00aNAgLV++XE2bNrXOjRs3TkOHDtV9992ntLQ0LV68WGPHjlXbtm3L3KeqtrnOu9Mut3TrVTv1XuXam25AI9TEblf7KkYIAW+hv6Eu0d9QnxBMDHGNkthstkrLuTPhvbSEhAQ5nU5dunTpilW1JCkoKEjPPfecnnjiCV24cEHr16/XpEmTrLYVFxdX2bZadyy1UY6YZDBiUmeCg4PVxG7XpaIiZWVlmW4OGjj6G+oS/a3utW+sn6qDvRd8G+uP0CuioqI0atQot65xPf7UokULSbJWzqpI6dGIy/cbqYrNZis3lLgMHz5cdrtdRUVF2r9/v/V6ixYt5HA4qhwJqe7IisfG9q6deq9yPVKrLgPvOJKWpvYdOigrK0s9OnY03Rw0cPQ31CX6W93Lb5wPekgpnn2JXh6CSQ0EBgYqMDDQo2sDAgIklUxOdzqdFY5OnD17tsz9vKl58+YKDAxUdna2Na9EKglPeXl5Ze5dHtfcEm+3CwAAAI0Pq3IZ0rlzZ0klk9Nd+5mUJzMz0zoOCQnxejscDoekn0ZwJFmbOpa+d3lOnDghqezKYQAAAIAnCCaG9OjRwzouvafJ5VzL/gYEBFS5fK/Lp59+au1Zsnv37grLnTp1Srm5uZJ+Ckql25aamlrhHBen02m127XXCgAAAOApgokh3bt3V/v2JesvbdmypdwyxcXF2rp1qyTp1ltvrfZk9ODgYGvPEtcu7uVZt26ddTxs2LArjnNycrRv375yr927d6/1+NfQoUOr1S4AAACgIgQTQ2w2myIjIyVJiYmJ1shIaatWrdLx48clSVOmTKl23eHh4dbjWPHx8fr222+vKHPs2DG99dZbkqSwsDANHjzYOjd48GArNC1cuFCFhYVlri0sLNQbb7whqSRgEUwAAABQUwQTg6ZNm6brrrtODodDU6ZMUUJCgrKzs5WWlqZFixbp1VdflSSNGjVK4eHhV1w/Z84cjR49WqNHj77i3Lx58+Tj46OLFy9q4sSJSkhIUEZGhrKysrRq1SpNnDhRZ8+elZ+fn3UfFx8fH73wwguSSkZGoqOjlZSUpNOnTyspKUnR0dHau3evbDabnn76afPLCgMAAKDeszk93SgDXpGSkqLo6Ogyq2KVFhERoZUrV5a7VPBDDz2kr776SpJ0+PDhK84nJCTopZdesia4Xy4oKEhLly7VwIEDyz3/9ttva+nSpeWes9lsmjdvnrX3Sa3o3TgDT0uWC64zruU0M9LTWU4TtY7+hrpEf6t7LBdccywXbFjv3r21YcMGxcbGasuWLcrMzJSPj4+6deumsWPHauLEifL19fWo7vHjx2vAgAH605/+pJ07dyorK0t2u10dO3bUiBEjNGnSpEqX+n3sscc0ePBg/fnPf1ZSUpJyc3MVEBCg/v37a/LkyRo0aJCnbxsAAAAogxETXL0YMUEt4xtF1CX6G+oS/a3uMWJSc8wxAQAAAGAcwQQAAACAcQQTAAAAAMYRTAAAAAAYRzABAAAAYBzBBAAAAIBxBBMAAAAAxhFMAAAAABhHMAEAAABgHMEEAAAAgHEEEwAAAADGEUwAAAAAGEcwAQAAAGAcwQQAAACAcQQTAAAAAMYRTAAAAAAYRzABAAAAYJzddAOAirRMNd0CM/KdTtNNMKKlzWa6CQAAL+DvWOOS78W6GDEBAAAAYBzBBAAAAIBxBBMAAAAAxhFMAAAAABhHMAEAAABgHMEEAAAAgHEEEwAAAADGEUwAAAAAGEcwAQAAAGAcwQQAAACAcQQTAAAAAMYRTAAAAAAYRzABAAAAYBzBBAAAAIBxBBMAAAAAxhFMAAAAABhHMAEAAABgHMEEAAAAgHEEEwAAAADGEUwAAAAAGEcwAQAAAGAcwQQAAACAcQQTAAAAAMYRTAAAAAAYRzABAAAAYBzBBAAAAIBxBBMAAAAAxhFMAAAAABhHMAEAAABgHMEEAAAAgHEEEwAAAADGEUwAAAAAGEcwAQAAAGAcwQQAAACAcQQTAAAAAMYRTAAAAAAYRzABAAAAYJzddAMg5eTkKCYmRlu3blVGRoZatGihrl27KjIyUhMmTFCTJk3cqm/37t2aNGmSW9fcddddWrBgQZnXpk+frq1bt1Z57YoVK3Tbbbe5dT8AAACgNIKJYWlpaYqKilJ2drb1WmFhoZKTk5WcnKy1a9cqNjZW/v7+tdqOli1bXvFaSkpKrd4TAAAAcCGYGHT+/HlNnTpV2dnZateunebOnashQ4bo3LlzSkhIUFxcnJKTkzVv3jwtXbq02vXedNNN2rt3b6VlLly4oIkTJ+r48ePq3LmznnjiiTLnT506pZMnT0qS3n33Xd10000V1tW8efNqtw0AAAAoD8HEoFWrVun777+X3W5XXFycQkNDJUlt27bVM888o+DgYM2fP1+bNm1SUlKSIiIiqlVvkyZNyh0BKe3ll1/W8ePH1bRpUy1evFitW7cuc/7gwYOSJJvNpgEDBlRZHwAAAFATTH43xOl06v3335ck3XnnnVYoKS0qKkpdunSRJCUkJHjt3ps3b9Zf//pXSdKsWbPUq1evK8q4HuPq3LmzWrVq5bV7AwAAAOUhmBiSmpqqH374QZJ0++23l1vGx8fHmlS+ZcsWOZ3OGt83Pz9ff/jDHyRJPXr0UHR0dLnlXMEkPDy8xvcEAAAAqsKjXIakpqZax3369KmwnGs0Izc3V+np6erYsWON7hsTE2PNHZk3b57s9vK7wKFDhyRJN9xwg1auXKkNGzbo6NGjstls6tSpk0aPHq1JkybJz8+vRu0BAAAAJIKJMRkZGZIku92u4ODgCstdf/311nFNg0lOTo71+Ngtt9yiIUOGlFsuNzfXat/SpUvlcDjKnE9NTVVqaqoSEhIUExNjPW4GAAAAeIpgYsjp06clSf7+/pXuU1J6fseZM2dqdM/4+HhduHBBkvTwww9XWM41WuLyyCOPKDIyUtdcc40yMjL08ccfa/Xq1UpLS9O0adOUmJh4xeR5b0hKSWF+SyNyJC2tzu/p+lIgODjYyP3RuNDfUJfob3WPn3PNEUxqYPny5VqyZIlb17g2MiwoKJAkNWvWrNLypZfidV3jiYKCAn300UeSpL59+1Y4WiKVLBV8zTXX6MyZM4qJiSlTNjAwUGFhYeratav+67/+S+np6VqxYoWef/55j9tWkZ7lTMpHw9W+Qwdj925itxu9PxoX+hvqEv2t7vBzrjmCiSGuURKbzVZpOW9MeJektWvXKicnR1LloyWSFBkZqcjISBUWFqpp06bllpk8ebLWrFmjI0eOKDExUXPmzKnyvbjrm9TURjli0lh/sWWkp9f5PYODg9XEbteloiJlZWXV+f3RuNDfUJdM9jf+jjUu3vz3JpjUQFRUlEaNGuXWNa4P2i1atJAkXbx4sdLypUdJarKR4dq1ayVJbdq00YgRI6p1TUWhxGXEiBE6cuSIcnNz9f3336tz584et688Eb17e7W++iLfS2G0vulRw4UdPHEkLU3tO3RQVlaWkfujcaG/oS6Z7G/8HWtcvPnvTTCpgcDAQAUGBnp0bUBAgKSS5XudTmeFow1nz54tcz9P5OTkKCkpSZI0cuRI+fr6elTP5UpPzM/JyfF6MAEAAEDjwT4mhrg+xDscDms/k/JkZmZaxyEhIR7d6/PPP9elS5ckSWPGjKn2dVU9RlZ6tS6WDQYAAEBNEEwM6dGjh3Vcek+Ty7k2OgwICFAHD5/h2759u6SSx8gGDx5cZfkHH3xQAwcO1KRJkyotd/ToUUkl82Vqur8KAAAAGjeCiSHdu3dX+/btJZXs6l6e4uJibd26VZJ06623ejy5PDk5WZLUr1+/SpcmdvHz81NeXp6Sk5OVl5dXbpmCggJt3rxZkhQREaGWLVt61DYAAABAIpgYY7PZFBkZKUlKTEy0RkZKW7VqlY4fPy5JmjJlikf3+fHHH61HxW688cZqXeNql8Ph0IIFC8ot8+qrr+rHH3+UJEVHR3vUNgAAAMCFYGLQtGnTdN1118nhcGjKlClKSEhQdna20tLStGjRIr366quSpFGjRik8PPyK6+fMmaPRo0dr9OjRFd7D9biVVDJKUx1jxozRgAEDJElr1qzR7NmztX//fuXk5Gjfvn16/PHHtXr1aknSr3/9a912223Vfs8AAABAeViVyyB/f3+tWLFC0dHROn36tH7zm99cUSYiIkILFy4s9/oTJ07ou+++q/QeJ06csI6rO3nex8dHb7/9tmbMmKF9+/Zp48aN2rhx4xXlxo4da4UnAAAAoCYIJob17t1bGzZsUGxsrLZs2aLMzEz5+PioW7duGjt2rCZOnFij5X1LzxEJDg6u9nVBQUGKj4/XX/7yF61du1aHDx9Wfn6+AgMDdeONN2r8+PEaPny4x+0CAAAASrM5vbW1OOBlLb28k3x90Vg3pjLx7+3agCwjPb3RboyFukN/Q10y2d/4O9a4ePPfmzkmAAAAAIwjmAAAAAAwjjkmwFWm0Q4F9zJw0///G7C93dD90bjQ31CXDPa3xvp3DDXHiAkAAAAA4wgmAAAAAIwjmAAAAAAwjmACAAAAwDiCCQAAAADjCCYAAAAAjCOYAAAAADCOYAIAAADAOIIJAAAAAOMIJgAAAACMI5gAAAAAMI5gAgAAAMA4ggkAAAAA4wgmAAAAAIwjmAAAAAAwjmACAAAAwDiCCQAAAADjCCYAAAAAjCOYAAAAADCOYAIAAADAOIIJAAAAAOMIJgAAAACMI5gAAAAAMI5gAgAAAMA4ggkAAAAA4wgmAAAAAIwjmAAAAAAwjmACAAAAwDiCCQAAAADjCCYAAAAAjCOYAAAAADCOYAIAAADAOIIJAAAAAOMIJgAAAACMI5gAAAAAMI5gAgAAAMA4ggkAAAAA4wgmAAAAAIwjmAAAAAAwjmACAAAAwDiCCQAAAADjCCYAAAAAjCOYAAAAADCOYAIAAADAOIIJAAAAAOMIJgAAAACMI5gAAAAAMI5gAgAAAMA4ggkAAAAA4wgmAAAAAIwjmAAAAAAwjmACAAAAwDiCCQAAAADjCCYAAAAAjCOYAAAAADCOYAIAAADAOIIJAAAAAOMIJgAAAACMI5gAAAAAMM7mdDqdphsBAAAAoHFjxAQAAACAcQQTAAAAAMYRTAAAAAAYRzABAAAAYBzBBAAAAIBxBBMAAAAAxhFMAAAAABhHMAEAAABgHMEEAAAAgHEEEwAAAADGEUwAAAAAGEcwAQAAAGAcwQQAAACAcQQTAAAAAMYRTAAAAAAYRzABAAAAYBzBBAAAAIBxBBMAAAAAxhFMAAAAABhnN90AAKhNOTk5iomJ0datW5WRkaEWLVqoa9euioyM1IQJE9SkSROP6j106JDuvvvuKsv16dNHiYmJHt0DV6fDhw8rNjZWu3fvVk5Ojtq0aaOwsDA98MADGjZsmMf1pqenKyYmRjt27NDJkyfl7++v0NBQ3Xvvvbrzzju9+A5Qn9RGf3vvvfe0YMGCKstFR0fr+eef9+gegCcIJgAarLS0NEVFRSk7O9t6rbCwUMnJyUpOTtbatWsVGxsrf39/t+tOSUnxZlNRT3z++eeaPXu2HA6H9Vp2dra2bt2qrVu36qGHHtKLL77odr0HDhzQ5MmTlZ+fb712+vRp7dq1S7t27dKmTZu0aNEi2e382W5Maqu/HTp0yJvNBLyG33AAGqTz589r6tSpys7OVrt27TR37lwNGTJE586dU0JCguLi4pScnKx58+Zp6dKlbtfv+sM+YMAAxcbGVljO0xEZXH1SUlL09NNPy+FwqG/fvpozZ466d++u9PR0rVixQp999pk++OADdenSRRMnTqx2vVlZWXrkkUeUn5+vzp0764UXXlB4eLhOnTqlP//5z/r444/16aef6s033+Tb60aktvqbq25JeuSRRzR9+vQKy/n6+tboPQDusjmdTqfpRgCAt8XFxWnhwoWy2+1KTExUaGhomfPx8fGaP3++JOmjjz5SRESEW/Xfe++9OnDggKZMmaK5c+d6rd24ej366KPatm2bOnXqpE8++UQtW7a0zjmdTj355JPauHGj2rRpo88//7zaI3Hz589XfHy8AgICtH79el177bVlzr/22mtauXKlfH19tXHjRnXo0MGr7wtXp9rqb+fPn1dERISKi4v1P//zPxoxYkRtvQXAbUx+B9DgOJ1Ovf/++5KkO++884pQIklRUVHq0qWLJCkhIcGt+i9duqQjR45Ikvr27VuzxqJeOHbsmLZt2yap5ANj6Q+JkmSz2TR37lz5+PgoNzdXmzdvrla9eXl5Vv976KGHrgglkjRr1iwFBATI4XDoL3/5S83eCOqF2upvkpSamqri4mJJ/P7C1YdgAqDBSU1N1Q8//CBJuv3228st4+Pjo9tuu02StGXLFrkzeHz06FFdvHhRkhQeHl7D1qI+2L59u6SSD4SufnO5kJAQ9erVS5L02WefVave3bt3q6CgQFLFfdXPz09Dhgxxq17Ub7XV36SfHuMKCQlRu3btathSwLsIJgAanNTUVOu4T58+FZZz/VHPzc1Venp6tet3zS9p06aNTp06pWeffVbDhg1TWFiYbrnlFj3xxBPau3evh63H1cjVp66//noFBQVVWK53796Sqj+52FWv3W4vd2TPxdVXjxw5osLCwmrVjfqrtvpb6bJ9+/bVhg0bNHXqVA0aNEhhYWG64447NH/+fGVmZtag9YDnCCYAGpyMjAxJJR/2goODKyx3/fXXW8fuBBPXN475+fmaMGGC1q1bp5MnT8rhcOjHH3/Upk2bFBUVpUWLFnn4DnC1cfWpquZ3uPpUVlaWioqKql1vcHBwpStuueq9dOmSsrKyqtVm1F+11d+kn4LJ1q1b9dRTT2nHjh06c+aMHA6H0tLSFB8frzFjxujzzz+vwTsAPEMwAdDgnD59WpLk7+9f6apYrVq1so7PnDlT7foPHjwoSXI4HOrTp4/efvttbd++XV9++aUWLlxofZhYsWKFNdcF9ZurT7Vu3brScq4+5XQ6lZeX5/V6Jff6Kuqn2upvBQUF+vbbbyWV/P4aPXq0PvroI+3cuVObNm3SM888Iz8/P124cEGzZ8/W/v37a/hOAPewXDCAq9Ly5cu1ZMkSt6656667tGDBAuuZ/WbNmlVavnnz5tax65rqKCoqUrNmzTRo0CAtX75cTZs2tc6NGzdOQ4cO1X333ae0tDQtXrxYY8eOVdu2bd16L7i6eNKnqvPIVW33VdRPtdXfMjMzdd111ykrK0szZ87U448/bp0LCgrSI488okGDBunBBx+Uw+HQ/PnztWbNGg/fBeA+RkwANDiuURKbzVZpOU9XS09ISND+/fu1YsWKMqHEJSgoSM8995wk6cKFC1q/fr1H98HVo7b6VG33VdRPtdUvunTpoi1btmj//v1lQklpN954oyZMmCCpZHT4m2++ceseQE0wYgLgqhQVFaVRo0a5dY3rsYYWLVpIkrVyVkVKf/Nc+pvH6rDZbJXOCRg+fLjsdruKiop4HKIBcPWpqkYrSp+v6tvu0vXWZl9F/VNb/c2lqo0Tb7/9dn344YeSpAMHDqhnz57VrhuoCYIJgKtSYGCgAgMDPbo2ICBAUsnkdKfTWeG3jmfPni1zP29q3ry5AgMDlZ2dbT0vjvrLFXpL95nyuJ7z9/HxqXJ+gPRTXz137ly16pW831dx9amt/lZdISEh1nFOTo7X6gWqwqNcABqczp07SyqZ3Onaz6Q8pZfELP2H2FscDoekn779RP3l2oyzqmVUT5w4IalklS0fn6r/xLr66okTJyp9LMdVr91uZ++JRqC2+ptLVY+AuX53Sfz+Qt0imABocHr06GEdl97T5HKuZX8DAgKqXJbT5dNPP7X2LNm9e3eF5U6dOqXc3FxJP334RP3l6lNpaWmVjm64+pRr35Hq1ltYWKijR49WWe8NN9xQ7rwmNCy11d9ef/11DRkyRAMGDKj0MbHSfZHfX6hLBBMADU737t3Vvn17SSW7upenuLhYW7dulSTdeuutVU4ydQkODrb2LPniiy8qLLdu3TrreNiwYdVtOq5Sw4cPl1Syj8i2bdvKLXPixAkrCA8dOrRa9Q4ePNj6Rrqivnr+/Hnt2rXLrXpRv9VWfwsMDFROTk6ZPlUe1+8vPz8/RUREuNFyoGYIJgAaHJvNpsjISElSYmKi9a1iaatWrdLx48clSVOmTKl23eHh4dZjFvHx8daeAKUdO3ZMb731liQpLCxMgwcPdvct4CrTsWNH6wPasmXLrnj23+l0asGCBSouLlZgYKDGjRtXrXr9/Pw0cuRISdLKlSvLfXRn2bJlysvLk6+vrx588MEavhPUB7XV3375y19aE98XLlxY7hLDf/vb36yQfP/998vf378mbwVwS5OXXnrpJdONAABvCwsL01//+lfl5eVp06ZNCgwMVLt27ZSTk6OVK1dq8eLFcjqdGjVqlCZPnnzF9XPmzNGbb76pDz/88IoPgz/72c+0fv16ORwO/f3vf1ebNm3UunVrnT9/XuvWrdOcOXN05swZ+fn5afny5brmmmvq6F2jNvXo0UMJCQk6ffq0tm3bpp/97Gfy9/fXt99+q/nz5+vTTz+VVNJ3Lv+WefTo0frwww914MABK4i49O3bVx9//LHOnj2rzZs3KyQkREFBQcrMzNTixYut1ZEmT56s0aNH182bhXG10d8CAgJ08eJFJSUlKScnR9u2bVNISIj8/f114sQJrVy5Uq+//rqKi4vVrVs3vfnmm1Wu4AV4k83J4ugAGqiUlBRFR0dXuCpWRESEVq5cWe7yqw899JC++uorSdLhw4evOJ+QkKCXXnqpzCTR0oKCgrR06VINHDiwBu8AV5vExET99re/VVFRUbnnp0yZorlz517xemhoqCRp0KBB+uCDD644v337ds2aNUsXLlwot97Ro0dr0aJFbk1wRv1XG/2tuLhYL730klavXl3hfXv16qV33nlH1113XQ1aD7iPYAKgQcvJyVFsbKy2bNmizMxM+fj4qFu3bho7dqwmTpxY4beBVQUTSfr222/1pz/9STt37lRWVpbsdrs6duyoESNGaNKkSSzr2kAdPnxYcXFx2r17t06dOiU/Pz+FhYXpgQce0B133FHuNVUFE0nKyMjQu+++qx07dujkyZNq2rSpevbsqXvuuUd33313tedBoWGprf62c+dOrVq1SsnJyTp9+rRatmyp7t2761e/+pXuvffeSvdpAmoLwQQAAACAcYwJAwAAADCOYAIAAADAOIIJAAAAAOMIJgAAAACMI5gAAAAAMI5gAgAAAMA4ggkAAAAA4wgmAAAAAIwjmAAAAAAwjmACAAAAwDiCCQAAAADjCCYAAAAAjCOYAAAAADCOYAIAAADAOIIJAAAAAOMIJgAAAACMI5gAAAAAMI5gAgBoEC5cuKANGzZo586dppsCAPAAwQQA0CC0aNFCycnJmjJlij799FPTzQEAuMnmdDqdphsBAIA3XLp0SY8++qj27Nmj+Ph49enTx3STAADVRDABAFz11q9fr6efftqta6677jr9/e9/V8uWLWupVQAAb7KbbgAAAFW54YYbNH369GqV/ec//6mkpCSNHDmSUAIA9QgjJgCABuObb75RVFSU+vfvr3fffVd2O9+/AUB9QTABADQIFy5c0IwZM1RQUKB33nlHAQEBppsEAHADwQQAAACAcSwXDAAAAMA4ggkAAAAA4wgmAAAAAIwjmAAA6r3CwkLFx8dr8uTJuuWWWxQWFqbQ0FCFhoZq+fLlNap7z549Cg0NVa9evfTNN994qcVXr23btik0NFRhYWH67rvvTDcHQCPCOooAgHotLy9PkydP1qFDh8o937NnT4/rvnTpkl5++WVJ0rhx42pUV33x85//XIMGDdJXX32lV155RXFxcaabBKCRIJgAAOq1119/3Qol4eHhGjdunNq1a6cmTZpIkgYNGuRx3Z988omOHDkiHx+fam/w2BDMnDlTrRtYDAAACypJREFUX331lXbs2KGdO3dqyJAhppsEoBFguWAAQL2Vk5OjYcOGyeFw6IYbbtAnn3yipk2beqVuh8OhX/ziF8rMzNSoUaO0dOlSr9RbX9xzzz06ePCgbrzxRq1evdp0cwA0AswxAQDUWzt27JDD4ZAk3XvvvV4LJZK0YcMGZWZmSpKioqK8Vm99cf/990uS9u3bp6SkJMOtAdAYEEwAAPXWnj17rGNvP2700UcfSZJCQkJ08803e7Xu+mDMmDFq1qyZJCk+Pt5wawA0BgQTAEC9snr1amvFrdKPGEVGRlqvh4aG6u233/b4Ht9++6327dsnSRo5cqRsNlul5R977DHrvrGxsZWWfeedd6yy48ePV35+vsftLG369OlWvQcPHqyyvNPp1IQJExQaGqp+/fopPT29zPmWLVvqlltukSR99tlnOnv2rFfaCQAVIZgAAOqVf/3rX9UqFxoa6vE9Nm/ebB1XZ/L8M888I7u9ZD2ZmJgYnTt3rtxyCQkJ+u///m9JUteuXfXuu++qZcuWHreztAEDBljH+/fvr7J8QkKCFb4efvhhdejQ4YoygwcPliQVFBToyy+/9Eo7AaAirMoFAKhXIiMjdfPNN+uHH36wlvIdOnSoNSfCxfWh2hM7duywjvv161dl+a5du+qee+7R6tWrlZubq/fff1+PP/54mTKff/65fve730kqeTxs5cqVCgoK8riNl7s8mEycOLHCsmfOnLECUocOHfTwww+XW670e9++fbt+9atfeam1AHAlggkAoF4JDw+XVPJ4kcvw4cN1xx13eKX+4uJi61GokJAQXXvttdW6btasWVq3bp3Onz+v9957Tw8++KDatGkjqWQuzFNPPaVLly6pTZs2iouLU0hIiFfa69K3b1/5+vrK4XBUOWKyaNEi5eTkSJJeeOEFay7J5fr06WPV6RpdAYDawqNcAIB6KSUlxTru3bu31+pNS0vT+fPnJZWMhFRXu3btNHnyZEnSuXPnFBMTI0k6fPiwZsyYoYKCAvn5+SkmJkbdunXzWntdmjVrprCwMEnS999/r9zc3HLLpaSkWHNzhg4dWmmga9q0qTp27ChJOn78uAoKCrzcagD4CcEEAFAvuYKJzWbz6o7sGRkZ1nHr1q3dunbq1Klq27atpJKVrJKTkzV16lTl5eXJ19dXy5Yts0Z8akP//v0llUxsP3DgwBXnnU6nXn75ZRUXF8vX11cvvvhilXW6fgZOp9NaPhkAagPBBABQL7mCSadOnbw2gVxSmZEG16NY1eXv76/HHntMknThwgVNnDhR2dnZ8vHx0cKFC3Xrrbd6rZ3liYiIsI7Le5xrzZo11iNZ0dHR6ty5c5V1lv4ZnDlzpuaNBIAKEEwAAPVOTk6OTp48KalkHoQ3FRYWWseeBJ777rtPnTp1kiRdunRJkvTiiy9qzJgx3mlgJVwjJtKVweTMmTN68803JUnBwcGaPn16ter09/e3ji9evOiFVgJA+QgmAIB659ChQ9Zxr169vFp36d3jK1r2tzKnTp0qE2569OhR6QpZ3tS2bVtrFOTrr7+W0+m0zi1evNia8P7888/Lz8+vWnWW/hk0b97ce40FgMsQTAAA9U5tTXyXpMDAQOvY3UeXTp8+rejoaJ04ccJ67ciRI/riiy+81r6quJYNzs3N1fHjxyWV/Lz+93//V5J08803uzV6U/rRNnfn3ACAOwgmAIB6p3QwqWzE5Pe//71CQ0Ot/UNKO3XqlEaOHKnQ0FAlJiZar5feaNCdYHL+/Hk9+uijOnbsmCTpnnvusc69+eabKi4urnZdNXH5fiZOp1Pz589XcXGx7Ha7fvvb37pVnyuY2Gw2tW/f3qttBYDSCCYAgHrHFUxCQkIq3aTw8ccfl5+fn9asWaN///vf1uv5+fl6+OGH9e9//1vPPfec7r77butc+/btrbklrpBRFYfDoVmzZlnzOqKjo/XHP/7RWor38OHDWrt2rXtv0kOXB5M1a9YoOTlZkvTggw/qhhtuqHZdhYWFSk9PlyR16dKlzGNuAOBtBBMAQL1y7tw5paWlSap6fkm7du30n//5nyoqKtKyZcsk/RQiDh06pOjoaE2bNq3MNT4+Purbt68kKSsry5pkX5Hi4mI9//zz1m7xv/71rzVnzhxJ0pNPPikfn5I/tUuWLCkz96S2dO3a1VpJa+fOndaE93bt2mnWrFlu1XXw4EE5HA5J0o033ujdhgLAZQgmAIB6JSUlxZrUXZ35JdOmTVNQUJD+9re/6V//+pdeeOEF/eMf/ygTIC43dOhQ67i8/UBKe+WVV7R+/XpJ0s9//nO9+uqrstlskqTu3btr7NixkqTMzEx9+OGHVb/BGrLZbNbqXN9995014f3ZZ58ts8JWdZRe2au2lzoGAIIJAKBecXfiu7+/v2bMmKHi4mJNmjRJ69atuyJAXG7kyJHW8a5duyqse9myZYqPj5dUslTvkiVLZLfby5SZNWuWfH19JUnvvPOO8vLyKqwvMTFRoaGhCg0N1UMPPVTle6tI6ce5XP8/btw4t+v55z//KalkV/lhw4Z53B4AqA6CCQCgXvFkRa77779frVq1Uk5Ojvr161dugCitU6dO1qjDhg0brMeZSouPj9dbb70lqWRk5J133il3Od2OHTtq/Pjxkkomkr/77rvVanNNlA4mTZo00e9+97sKQ1hF8vPzrcfT7rjjDrVq1cqrbQSAyxFMAAD1SmpqqqSSHclDQkKqdc2iRYt09uxZSVJRUZGaNWtW5TWuvUdycnL05Zdfljm3fv16vfLKK5Kk66+/XnFxcZUupTtz5ky1aNFCkvTBBx9UOG/lwoUL1nHpZYvdlZWVZR1PmDDBo71eNmzYoIKCAknSAw884HFbAKC6bM7Suy8BANDAxMbG6vXXX7d2iD906JAWLVpU5V4eRUVF+sUvfqGMjAyNHDnSGh2pTU899ZQ2bNggm82mNWvWeLSrfWFhocaMGaO0tDQFBgZq06ZNHu0/Mn78eH399dfq16+fPv74Y7evBwB3MWICAGiwPvnkE73xxhvq1KmTYmJi9PTTT0sqWSGrqKio0mvtdrtmzpwpSfrss890+PDhWm2r0+nUzp07JUm//OUvPQolkrRy5Upr1bJnn33Wo1Cya9cuff3115JKVhYDgLpAMAEANEhffPGFXnzxRbVt21ZxcXFq27atbr31Vg0cOFDHjx/X//3f/1VZx1133aUePXrI6XRayw3XltTUVJ0+fVp2u12zZ8/2qI6kpCRrZGfQoEFlNnl0x/LlyyWVrMT1H//xHx7VAQDuIpgAABqc5ORkzZ49W82aNVNMTIw6duxonXONALz99ttl5nSUp0mTJvr9738vSdq8ebMOHTpUa23+xz/+Ialkx/jOnTtX65off/xRX375pTZv3qzXXntN0dHRcjgcCggI0IIFC9ye8C6VBLrdu3fL19dXL774otvXA4CnmGMCAGhQjh49qokTJyo/P18xMTEaMmTIFWWmTZum7du368knn9SMGTMMtNI7XPNnSmvevLlWrFhR7vsGgKsZwQQAgHpq9uzZ2rhxo3x9fXXttddq4MCBmjp1qnr06GG6aQDgNoIJAAAAAOOYYwIAAADAOIIJAAAAAOMIJgAAAACMI5gAAAAAMI5gAgAAAMA4ggkAAAAA4wgmAAAAAIwjmAAAAAAwjmACAAAAwDiCCQAAAADjCCYAAAAAjCOYAAAAADCOYAIAAADAOIIJAAAAAOMIJgAAAACMI5gAAAAAMI5gAgAAAMA4ggkAAAAA4wgmAAAAAIwjmAAAAAAwjmACAAAAwLj/B6XWeO59jp1wAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x12fd1bf98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax1 = plt.subplots(1,1, figsize = (4, 4), dpi = 200)\n",
    "ax1.hist2d(thresh_df['x_vec'], thresh_df['y_vec'], cmap = 'hot');\n",
    "ax1.set_xlabel('$\\\\vec{f}_x(x,y)$')\n",
    "ax1.set_ylabel('$\\\\vec{f}_y(x,y)$');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Applying a threshold\n",
    "Given the presence of two variables; however, more advanced approaches can also be investigated. For example we can keep only components parallel to the x axis by using the dot product.\n",
    "$$ I(x,y) = \n",
    "\\begin{cases}\n",
    "1, & |\\vec{f}(x,y)\\cdot \\vec{i}| = 1 \\\\\n",
    "0, & \\text{otherwise}\n",
    "\\end{cases}$$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Looking at Orientations\n",
    "We can tune the angular acceptance by using the fact $$\\vec{x}\\cdot\\vec{y}=|\\vec{x}| |\\vec{y}| \\cos(\\theta_{x\\rightarrow y}) $$\n",
    "$$ I(x,y) = \n",
    "\\begin{cases}\n",
    "1, & \\cos^{-1}(\\vec{f}(x,y)\\cdot \\vec{i}) \\leq \\theta^{\\circ} \\\\\n",
    "0, & \\text{otherwise}\n",
    "\\end{cases}$$"
   ]
  }
 ],
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