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    "# Publication Figure 3\n",
    "\n",
    "This jupyter notebook contains the Analysis code for an upcoming publication.\n",
    "\n",
    "Authors: Kevin Sawade (kevin.sawade@uni-konstanz.de), Christine Peter (christine.peter@uni-konstanz.de)\n",
    "\n",
    "EncoderMap's featurization was inspired by the (no longer maintained) PyEMMA library. Consider citing it (https://dx.doi.org/10.1021/acs.jctc.5b00743), if you are using EncoderMap.\n",
    "\n",
    "**This notebook was revised upon the request of a reviewer.**\n",
    "\n",
    "## Imports\n",
    "\n",
    "We start with the imports."
   ]
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      "/home/kevin/git/encoder_map_private/encodermap/__init__.py:194: GPUsAreDisabledWarning: EncoderMap disables the GPU per default because most tensorflow code runs with a higher compatibility when the GPU is disabled. If you want to enable GPUs manually, set the environment variable 'ENCODERMAP_ENABLE_GPU' to 'True' before importing EncoderMap. To do this in python you can run:\n",
      "\n",
      "import os; os.environ['ENCODERMAP_ENABLE_GPU'] = 'True'\n",
      "\n",
      "before importing encodermap.\n",
      "  _warnings.warn(\n"
     ]
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    "# Future imports at the top\n",
    "from __future__ import annotations\n",
    "\n",
    "# Import EncoderMap\n",
    "import encodermap as em\n",
    "from encodermap.plot import plotting\n",
    "from encodermap.plot.plotting import _plot_free_energy\n",
    "\n",
    "# Builtin packages\n",
    "import re\n",
    "import io\n",
    "import warnings\n",
    "import os\n",
    "import json\n",
    "import contextlib\n",
    "import time\n",
    "from copy import deepcopy\n",
    "from types import SimpleNamespace\n",
    "from pathlib import Path\n",
    "\n",
    "# Math\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import xarray as xr\n",
    "\n",
    "# ML\n",
    "import tensorflow as tf\n",
    "from sklearn.decomposition import PCA\n",
    "\n",
    "# Plotting\n",
    "import plotly.express as px\n",
    "import plotly.graph_objects as go\n",
    "import plotly.io as pio\n",
    "from plotly.subplots import make_subplots\n",
    "import plotly.io as pio\n",
    "\n",
    "# MD\n",
    "import mdtraj as md\n",
    "import MDAnalysis as mda\n",
    "import nglview as nv\n",
    "\n",
    "# dates\n",
    "from dateutil import parser"
   ]
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  {
   "cell_type": "markdown",
   "id": "fd391179-9497-4728-98a7-c34a10284c02",
   "metadata": {},
   "source": [
    "Using Autoreload we can make changes in the EncoderMap source code and use the new code, without needing to restart the Kernel."
   ]
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   "execution_count": 2,
   "id": "ecec284c-b625-4019-836e-ef9137483ed8",
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   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
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    "## Trained network weights\n",
    "\n",
    "EncoderMap's Neural Network is initialized with random weights and biases. While the training is deterministic with pre-defined training weights, and the inferences that can be made from two trained models are qualitatively similar, the numerical exact output depends on the starting weights.\n",
    "\n",
    "For this reason, the trained network weights are available from the corresponding authors upon reasonable request or by raising an issue on GitHub: https://github.com/AG-Peter/encodermap/issues\n",
    "\n",
    "This figure demonstrates the\n",
    "\n",
    "1) The modularity of the EncoderMap package.\n",
    "2) Some interactive elements in EncoderMap.\n",
    "\n",
    "### Get data\n",
    "\n",
    "We will use the same data as in Figure 1. To obtain the `H1Ub_trajs` variable, use the cells from figure 1. We will also use the `SASA_dists` collective variable as the training input. For plotting, we will select a subset of the trajectory ensemble with 10000 frames."
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    "figure_1_data_dir = Path.cwd() / \"../analysis/figure_1\"\n",
    "if not figure_1_data_dir.exists():\n",
    "    figure_1_data_dir.mkdir(parents=True)\n",
    "em.get_from_kondata(\n",
    "    \"H1Ub\",\n",
    "    figure_1_data_dir,\n",
    "    silence_overwrite_message=True,\n",
    "    mk_parentdir=True,\n",
    ")\n",
    "H1Ub_trajs_file = figure_1_data_dir / \"trajs.h5\"\n",
    "H1Ub_trajs = em.load(H1Ub_trajs_file)"
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   "id": "7fec1a88-fdc7-4dd8-b9ae-90e563b7a06a",
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   "source": [
    "This will be the output directory"
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  },
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   "cell_type": "code",
   "execution_count": 4,
   "id": "7dbe3259-94e9-4633-8065-0577ee414e50",
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   "source": [
    "figure_3_trained_nn_dir = (Path.cwd() / \"../trained_networks/figure_3\").resolve()"
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     "data": {
      "text/plain": [
       "PosixPath('/home/kevin/encodermap_paper_images/trained_networks/figure_3')"
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    "figure_3_trained_nn_dir"
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    "## \"Classical\" methods\n",
    "\n",
    "Before delving into neural networks and machine learning we will start with some \"classical\" dimensionality reduction methods.\n",
    "\n",
    "### MDS\n",
    "\n",
    "In multi-dimensional scaling (MDS) a set of $m$ points $P = (x \\vert x \\in \\mathbb{R}^N)$, where $N$ is the input dimension of the set is projected into a lower dimension $n$ by minimizing the $\\text{Strain}_D$ function with:\n",
    "\n",
    "\\begin{equation}\n",
    "\\text{Strain}_D(x_1, x_2, ..., x_m) = \\left( \\frac{\\sum_{ij} \\left( b_{ij} - x^T_i x_j \\right)^2}{\\sum_{ij} b^2_{ij}} \\right)^{\\frac{1}{2}}\n",
    "\\end{equation}\n",
    "\n",
    "The following formulas are taken from https://www.mathpsy.uni-tuebingen.de/wickelmaier/pubs/Wickelmaier2003SQRU.pdf\n",
    "\n",
    "The solution to this problem rests on the fact, that the cooridnate matrix $\\mathbf{X}$ of all $(x_1, x_2, ..., x_m)$ can be derived by eigenvalue decomposition from the scalar product matrix $\\mathbf{B} = \\mathbf{XX'}$. The problem of constructing $\\mathbf{B}$ from the proximity matrix $\\mathbf{P}$ is solved by multiplying the squared proximities with the matrix $\\mathbf{J} = \\mathbf{I} - n^{-1}\\mathbf{11'}$. This procedure is called double centering. The following steps summarize the algorithm of classical MDS:\n",
    "\n",
    "0) A limit when doing MDS is the size of the memory of the computer. The memory complexity scales with $\\mathcal{O}(n^2)$. Let's assume the array contains double precision `float64` numbers with 64 bits (8 bytes) each and calculate the theoretical memory size of a 2D $m \\times m$ array holding all $m$ points of the H1Ub dataset."
   ]
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     "text": [
      "A single float takes 8 bytes of memory.\n",
      "The H1Ub dataset encompasses 55326 frames\n",
      "The 55326 x 55326 proximity matrix has a size of 24487730208 bytes.\n",
      "This is 22.805975943803787 Giga bytes.\n"
     ]
    }
   ],
   "source": [
    "s = np.dtype(float).itemsize\n",
    "print(f\"A single float takes {s} bytes of memory.\")\n",
    "n_frames = H1Ub_trajs.n_frames\n",
    "print(f\"The H1Ub dataset encompasses {n_frames} frames\")\n",
    "bytes = s * H1Ub_trajs.n_frames** 2\n",
    "print(f\"The {n_frames} x {n_frames} proximity matrix has a size of {bytes} bytes.\")\n",
    "gb = bytes / 1024 / 1024 / 1024\n",
    "print(f\"This is {gb} Giga bytes.\")"
   ]
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  {
   "cell_type": "markdown",
   "id": "c065827d-3374-441e-bc8f-16b5a8fa3e82",
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   "source": [
    "To leave some room in the memory for intermediate computations we have to select a subset of points from the \"SASA_dists\" (see notebook to figure 1)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "3e74138e-be37-417e-aeae-303b7cf1f7e6",
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   "outputs": [],
   "source": [
    "subsample_file = Path.cwd() / \"H1Ub_subsample.h5\"\n",
    "\n",
    "if not subsample_file.is_file():\n",
    "    subsample = H1Ub_trajs.subsample(10)\n",
    "    subsample.save(subsample_file)\n",
    "subsample = em.load(subsample_file)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a918ef43-6a9d-4c08-918d-c6cf5dc2c955",
   "metadata": {},
   "source": [
    "1) Set up the matrix of squared proximities: $\\mathbf{P^{(2)}} = \\left[ p^2 \\right]$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "bd5e8744-2576-40e8-916e-44b1131a095b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(5646, 5646)\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import euclidean_distances as sk_euclidean_distances\n",
    "\n",
    "proximity_matrix = sk_euclidean_distances(subsample.SASA_dists)\n",
    "print(proximity_matrix.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "68d4263e-bab8-49d9-b7eb-9b2d83e25639",
   "metadata": {},
   "outputs": [],
   "source": [
    "P = proximity_matrix ** 2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dc99a02a-71b3-4f91-89f5-b1e51ec112a4",
   "metadata": {},
   "source": [
    "2) Apply the double centering: $\\mathbf{B} = -\\frac{1}{2}\\mathbf{JP^{(2)}J}$ using the matrix $\\mathbf{J} = \\mathbf{I} - m^{-1}\\mathbf{11'}$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d2404d2a-62fc-4e91-a158-6f1bee351ec0",
   "metadata": {},
   "outputs": [],
   "source": [
    "m = proximity_matrix.shape[0]\n",
    "diag_one = np.eye(m)\n",
    "fill_one = np.ones(m)\n",
    "\n",
    "J = diag_one - m ** -1 * fill_one\n",
    "\n",
    "B = - (1/2) * np.matmul(np.matmul(J, P), J)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d8032c76-35ae-4a29-8cb4-3de2d51183e5",
   "metadata": {},
   "source": [
    "3) Extract the $n$ largest positive eigenvalues $\\lambda_1, ..., \\lambda_n$ of $\\mathbf{B}$ and the corresponding $n$ eigenvectors $\\mathbf{e_1}, ..., \\mathbf{e_m}$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "cdfc02cf-a3be-40ff-ba48-109e32958eb8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(542845.4505927933+0j) (213383.93846512752+0j)\n"
     ]
    }
   ],
   "source": [
    "eigen = np.linalg.eig(B)\n",
    "eigen1, eigen2 = eigen[0][:2]\n",
    "print(eigen1, eigen2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15188b40-03de-456b-a89a-94191eda0fbc",
   "metadata": {},
   "source": [
    "4) A $n$-dimensional spatial configuration of the $m$ objects is derived from the coordinate matrix $X = E_n\\Lambda^{1/2}_n$, where $E_n$ is the matrix of $n$ eigenvectors and $\\Lambda_n$ is the diagonal matrix of $n$ eigenvalues of $B$, respectively."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "c52116c1-b12b-4f0f-a328-a3454bac5756",
   "metadata": {},
   "outputs": [],
   "source": [
    "two_d_eigenmatrix = eigen[1][:,:2]\n",
    "X = np.matmul(two_d_eigenmatrix, np.array([[np.sqrt(eigen1), 0], [0, np.sqrt(eigen2)]])).real\n",
    "subsample.load_CVs(X[:, :2], \"MDS_lowd\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a142206-cbc4-4f1c-aa1f-9e273e178e1e",
   "metadata": {},
   "source": [
    "#### Extract a cluster from MDS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "0c50c839-fa20-4c75-8c4b-5b64567f13c2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# subsample.del_CVs([\"_user_selected_points\", \"lowd\"])\n",
    "# sess = em.InteractivePlotting(\n",
    "#     trajs=subsample,\n",
    "#     highd_data=subsample.CVs[\"SASA_dists\"],\n",
    "#     lowd_data=X,\n",
    "# )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e9a86fbb-6f9c-437d-ba95-41994429fe8e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# (figure_3_trained_nn_dir / \"MDS/clusters/cluster0/\").mkdir(parents=True, exist_ok=True)\n",
    "# np.save(figure_3_trained_nn_dir / \"MDS/clusters/cluster0/selected_points.npy\", subsample._user_selected_points)\n",
    "subsample.load_CVs(\n",
    "    np.load(figure_3_trained_nn_dir / \"MDS/clusters/cluster0/selected_points.npy\"),\n",
    "    \"_user_selected_points\",\n",
    ")\n",
    "# cluster = H1Ub_trajs[subsample.id[subsample._user_selected_points == 0]]\n",
    "# traj = cluster[::10].stack()\n",
    "# traj.save_pdb(figure_3_trained_nn_dir / \"MDS/clusters/cluster0/cluster0.pdb\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c77bbda-83d9-417f-9e41-7af6bb2a0660",
   "metadata": {},
   "source": [
    "#### Plot\n",
    "\n",
    "The secondary structure render in figure the figure was done using UCSF ChimeraX."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "dad7d193-2e35-4732-83a8-455da5f0076a",
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   "outputs": [
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kt,At=function(r,n){O.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,v=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,v,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),D=+j.attr(\"height\"),z=v-.5*L,F=z+L,B=b-.5*D,N=B+D,U=[[z,B,z,N],[z,N,F,N],[F,N,F,B],[F,B,z,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,q=e.arrowcolor,H=e.arrowside,G=O.append(\"g\").style({opacity:u.opacity(q)}).classed(\"annotation-arrow-g\",!0),W=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(u.stroke,u.rgb(q));if(g(W,H,e),k.annotationPosition&&W.node().parentNode&&!a){var Y=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));Y+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var K,J,$=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-Y)+\",\"+(p-X),transform:s(Y,X)}).style(\"stroke-width\",V+6+\"px\").call(u.stroke,\"rgba(0,0,0,0)\").call(u.fill,\"rgba(0,0,0,0)\");d.init({element:$.node(),gd:t,prepFn:function(){var t=c.getTranslate(R);K=t.x,J=t.y,y&&y.autorange&&M(y._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(K,J),i=n[0]+t,a=n[1]+r;R.call(c.setTranslate,i,a),S(\"x\",m(y,t,\"x\",T,e)),S(\"y\",m(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",m(y,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",m(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),I.attr({transform:\"rotate(\"+P+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var 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e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&y(t,r);return a.previousPromises(t)},drawOne:y,drawRaw:x}},33652:function(t,e,r){\"use strict\";var n=r(33428),i=r(76308),a=r(72196),o=r(3400),s=o.strScale,l=o.strRotate,u=o.strTranslate;t.exports=function(t,e,r){var o,c,f,h,p=t.node(),d=a[r.arrowhead||0],v=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),y=(r.arrowwidth||1)*(r.startarrowsize||1),m=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,b=d.backoff*g+r.standoff,_=v.backoff*y+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},c={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-c.x,T=o.y-c.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void D();if(b){if(b*b>w*w+T*T)return void D();var k=b*Math.cos(f),A=b*Math.sin(f);c.x+=k,c.y+=A,t.attr({x2:c.x,y2:c.y})}if(_){if(_*_>w*w+T*T)return void D();var 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n=r(23816),i=r(42300);t.exports={moduleType:\"component\",name:\"annotations\",layoutAttributes:r(13916),supplyLayoutDefaults:r(45216),includeBasePlot:r(36632)(\"annotations\"),calcAutorange:r(90272),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:r(26828)}},45899:function(t,e,r){\"use strict\";var n=r(13916),i=r(67824).overrideAll,a=r(31780).templatedArray;t.exports=i(a(\"annotation\",{visible:n.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),\"calc\",\"from-root\")},42456:function(t,e,r){\"use strict\";var n=r(3400),i=r(54460);function a(t,e){var r=e.fullSceneLayout.domain,a=e.fullLayout._size,o={pdata:null,type:\"linear\",autorange:!1,range:[-1/0,1/0]};t._xa={},n.extendFlat(t._xa,o),i.setConvert(t._xa),t._xa._offset=a.l+r.x[0]*a.w,t._xa.l2p=function(){return.5*(1+t._pdata[0]/t._pdata[3])*a.w*(r.x[1]-r.x[0])},t._ya={},n.extendFlat(t._ya,o),i.setConvert(t._ya),t._ya._offset=a.t+(1-r.y[1])*a.h,t._ya.l2p=function(){return.5*(1-t._pdata[1]/t._pdata[3])*a.h*(r.y[1]-r.y[0])}}t.exports=function(t){for(var e=t.fullSceneLayout.annotations,r=0;r<e.length;r++)a(e[r],t);t.fullLayout._infolayer.selectAll(\".annotation-\"+t.id).remove()}},52808:function(t,e,r){\"use strict\";var n=r(3400),i=r(54460),a=r(51272),o=r(87192),s=r(45899);function l(t,e,r,a){function l(r,i){return n.coerce(t,e,s,r,i)}function u(t){var n=t+\"axis\",a={_fullLayout:{}};return a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l(\"visible\")&&(o(t,e,a.fullLayout,l),u(\"x\"),u(\"y\"),u(\"z\"),n.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),n.noneOrAll(t,e,[\"ax\",\"ay\"])))}t.exports=function(t,e,r){a(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},71836:function(t,e,r){\"use strict\";var n=r(23816).drawRaw,i=r(94424),a=[\"x\",\"y\",\"z\"];t.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],u=!1,c=0;c<3;c++){var f=a[c],h=l[f],p=e[f+\"axis\"].r2fraction(h);if(p<0||p>1){u=!0;break}}u?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+s+'\"]').remove():(l._pdata=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},56864:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400);t.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:r(45899)}}},layoutAttributes:r(45899),handleDefaults:r(52808),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(r)for(var a=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var l=o[s];a.test(l)&&(t[l].annotations||[]).length&&(i.pushUnique(e._basePlotModules,r),i.pushUnique(e._subplots.gl3d,l))}},convert:r(42456),draw:r(71836)}},54976:function(t,e,r){\"use 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date data.\"}var g={xcalendar:d(v(\"x\"))},y=i.extendFlat({},g,{ycalendar:d(v(\"y\"))}),m=i.extendFlat({},y,{zcalendar:d(v(\"z\"))}),x=d([\"Sets the calendar system to use for `range` and `tick0`\",\"if this is a date axis. This does not set the calendar for\",\"interpreting data on this axis, that's specified in the trace\",\"or via the global `layout.calendar`\"].join(\" \"));t.exports={moduleType:\"component\",name:\"calendars\",schema:{traces:{scatter:y,bar:y,box:y,heatmap:y,contour:y,histogram:y,histogram2d:y,histogram2dcontour:y,scatter3d:m,surface:m,mesh3d:m,scattergl:y,ohlc:g,candlestick:g},layout:{calendar:d([\"Sets the default calendar system to use for interpreting and\",\"displaying dates throughout the plot.\"].join(\" \"))},subplots:{xaxis:{calendar:x},yaxis:{calendar:x},scene:{xaxis:{calendar:x},yaxis:{calendar:x},zaxis:{calendar:x}},polar:{radialaxis:{calendar:x}}},transforms:{filter:{valuecalendar:d([\"WARNING: All transforms are deprecated and may be removed from the API in next major version.\",\"Sets the calendar system to use for `value`, if it is a date.\"].join(\" \")),targetcalendar:d([\"WARNING: All transforms are deprecated and may be removed from the API in next major version.\",\"Sets the calendar system to use for `target`, if it is an\",\"array of dates. If `target` is a string (eg *x*) we use the\",\"corresponding trace attribute (eg `xcalendar`) if it exists,\",\"even if `targetcalendar` is provided.\"].join(\" \"))}}},layoutAttributes:l,handleDefaults:u,handleTraceDefaults:function(t,e,r,n){for(var 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y=n.select(this).selectAll(\"g.errorbar\").data(e,h);if(y.exit().remove(),e.length){d.visible||y.selectAll(\"path.xerror\").remove(),v.visible||y.selectAll(\"path.yerror\").remove(),y.style(\"opacity\",1);var m=y.enter().append(\"g\").classed(\"errorbar\",!0);c&&m.style(\"opacity\",0).transition().duration(s.duration).style(\"opacity\",1),a.setClipUrl(y,r.layerClipId,t),y.each((function(t){var e=n.select(this),r=function(t,e,r){var n={x:e.c2p(t.x),y:r.c2p(t.y)};return void 0!==t.yh&&(n.yh=r.c2p(t.yh),n.ys=r.c2p(t.ys),i(n.ys)||(n.noYS=!0,n.ys=r.c2p(t.ys,!0))),void 0!==t.xh&&(n.xh=e.c2p(t.xh),n.xs=e.c2p(t.xs),i(n.xs)||(n.noXS=!0,n.xs=e.c2p(t.xs,!0))),n}(t,l,u);if(!g||t.vis){var a,o=e.select(\"path.yerror\");if(v.visible&&i(r.x)&&i(r.yh)&&i(r.ys)){var 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n=r(3400),i=r(55756),a=r(16132);t.exports=function(t,e,r,o){var s=n.extendFlat({},o.hoverlabel);e.hovertemplate&&(s.namelength=-1),a(t,e,(function(r,a){return n.coerce(t,e,i,r,a)}),s)}},10624:function(t,e,r){\"use strict\";var n=r(3400);e.getSubplot=function(t){return t.subplot||t.xaxis+t.yaxis||t.geo},e.isTraceInSubplots=function(t,r){if(\"splom\"===t.type){for(var n=t.xaxes||[],i=t.yaxes||[],a=0;a<n.length;a++)for(var o=0;o<i.length;o++)if(-1!==r.indexOf(n[a]+i[o]))return!0;return!1}return-1!==r.indexOf(e.getSubplot(t))},e.flat=function(t,e){for(var r=new Array(t.length),n=0;n<t.length;n++)r[n]=e;return r},e.p2c=function(t,e){for(var r=new Array(t.length),n=0;n<t.length;n++)r[n]=t[n].p2c(e);return r},e.getDistanceFunction=function(t,r,n,i){return\"closest\"===t?i||e.quadrature(r,n):\"x\"===t.charAt(0)?r:n},e.getClosest=function(t,e,r){if(!1!==r.index)r.index>=0&&r.index<t.length?r.distance=0:r.index=!1;else for(var n=0;n<t.length;n++){var 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ot,st,lt,ut,ct=d.select(\"g.legend\"),ft=q(r,ct.node()),ht=ft.width+2*S,pt=ft.height+2*S,dt=X[0],vt=(dt.x0+dt.x1)/2,gt=(dt.y0+dt.y1)/2,yt=!(g.traceIs(dt.trace,\"bar-like\")||g.traceIs(dt.trace,\"box-violin\"));\"y\"===P?yt?(st=gt-S,ot=gt+S):(st=Math.min.apply(null,X.map((function(t){return Math.min(t.y0,t.y1)}))),ot=Math.max.apply(null,X.map((function(t){return Math.max(t.y0,t.y1)})))):st=ot=o.mean(X.map((function(t){return(t.y0+t.y1)/2})))-pt/2,\"x\"===P?yt?(lt=vt+S,ut=vt-S):(lt=Math.max.apply(null,X.map((function(t){return Math.max(t.x0,t.x1)}))),ut=Math.min.apply(null,X.map((function(t){return Math.min(t.x0,t.x1)})))):lt=ut=o.mean(X.map((function(t){return(t.x0+t.x1)/2})))-ht/2;var mt,xt,bt=E._offset,_t=L._offset;return ut+=bt-ht,st+=_t-pt,mt=(lt+=bt)+ht<B&&lt>=0?lt:ut+ht<B&&ut>=0?ut:bt+ht<B?bt:lt-vt<vt-ut+ht?B-ht:0,mt+=S,xt=(ot+=_t)+pt<N&&ot>=0?ot:st+pt<N&&st>=0?st:_t+pt<N?_t:ot-gt<gt-st+pt?N-pt:0,xt+=S,ct.attr(\"transform\",s(mt-1,xt-1)),ct}var wt=d.selectAll(\"g.hovertext\").data(t,(function(t){return C(t)}));return wt.enter().append(\"g\").classed(\"hovertext\",!0).each((function(){var t=n.select(this);t.append(\"rect\").call(p.fill,p.addOpacity(f,.8)),t.append(\"text\").classed(\"name\",!0),t.append(\"path\").style(\"stroke-width\",\"1px\"),t.append(\"text\").classed(\"nums\",!0).call(h.font,T,k)})),wt.exit().remove(),wt.each((function(t){var e=n.select(this).attr(\"transform\",\"\"),o=t.color;Array.isArray(o)&&(o=o[t.eventData[0].pointNumber]);var 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n,i,o=r.container,s=r.fullLayout,l=s._size,u=r.event,c=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),f||c){var d=p.combine(s.plot_bgcolor,s.paper_bgcolor);if(c){var g,y,m=e.hLinePoint;n=m&&m.xa,\"cursor\"===(i=m&&m.ya).spikesnap?(g=u.pointerX,y=u.pointerY):(g=n._offset+m.x,y=i._offset+m.y);var x,b,_=a.readability(m.color,d)<1.5?p.contrast(d):m.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=v.getPxPosition(t,i);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=A,b=g),-1!==w.indexOf(\"across\")){var 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e=i.isD3Selection(t)?t:n.select(t);e.selectAll(\"g.hovertext\").remove(),e.selectAll(\".spikeline\").remove()},click:r(62376)}},65460:function(t,e,r){\"use strict\";var n=r(92456),i=r(25376),a=i({editType:\"none\"});a.family.dflt=n.HOVERFONT,a.size.dflt=n.HOVERFONTSIZE,t.exports={clickmode:{valType:\"flaglist\",flags:[\"event\",\"select\"],dflt:\"event\",editType:\"plot\",extras:[\"none\"]},dragmode:{valType:\"enumerated\",values:[\"zoom\",\"pan\",\"select\",\"lasso\",\"drawclosedpath\",\"drawopenpath\",\"drawline\",\"drawrect\",\"drawcircle\",\"orbit\",\"turntable\",!1],dflt:\"zoom\",editType:\"modebar\"},hovermode:{valType:\"enumerated\",values:[\"x\",\"y\",\"closest\",!1,\"x unified\",\"y 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n=r(33816),i=r(31780).templatedArray;r(36208),t.exports=i(\"image\",{visible:{valType:\"boolean\",dflt:!0,editType:\"arraydraw\"},source:{valType:\"string\",editType:\"arraydraw\"},layer:{valType:\"enumerated\",values:[\"below\",\"above\"],dflt:\"above\",editType:\"arraydraw\"},sizex:{valType:\"number\",dflt:0,editType:\"arraydraw\"},sizey:{valType:\"number\",dflt:0,editType:\"arraydraw\"},sizing:{valType:\"enumerated\",values:[\"fill\",\"contain\",\"stretch\"],dflt:\"contain\",editType:\"arraydraw\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,editType:\"arraydraw\"},x:{valType:\"any\",dflt:0,editType:\"arraydraw\"},y:{valType:\"any\",dflt:0,editType:\"arraydraw\"},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"arraydraw\"},yanchor:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"top\",editType:\"arraydraw\"},xref:{valType:\"enumerated\",values:[\"paper\",n.idRegex.x.toString()],dflt:\"paper\",editType:\"arraydraw\"},yref:{valType:\"enumerated\",values:[\"paper\",n.idRegex.y.toString()],dflt:\"paper\",editType:\"arraydraw\"},editType:\"arraydraw\"})},63556:function(t,e,r){\"use 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r=n.select(this);if(this._imgSrc!==e.source)if(r.attr(\"xmlns\",s.svg),e.source&&\"data:\"===e.source.slice(0,5))r.attr(\"xlink:href\",e.source),this._imgSrc=e.source;else{var i=new Promise(function(t){var n=new Image;function i(){r.remove(),t()}this.img=n,n.setAttribute(\"crossOrigin\",\"anonymous\"),n.onerror=i,n.onload=function(){var e=document.createElement(\"canvas\");e.width=this.width,e.height=this.height,e.getContext(\"2d\",{willReadFrequently:!0}).drawImage(this,0,0);var n=e.toDataURL(\"image/png\");r.attr(\"xlink:href\",n),t()},r.on(\"error\",i),n.src=e.source,this._imgSrc=e.source}.bind(this));t._promises.push(i)}}function y(e){var r,o,s=n.select(this),u=a.getFromId(t,e.xref),c=a.getFromId(t,e.yref),f=\"domain\"===a.getRefType(e.xref),h=\"domain\"===a.getRefType(e.yref),p=l._size;r=void 0!==u?\"string\"==typeof e.xref&&f?u._length*e.sizex:Math.abs(u.l2p(e.sizex)-u.l2p(0)):e.sizex*p.w,o=void 0!==c?\"string\"==typeof 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b=Object.keys(l._plots);for(r=0;r<b.length;r++){e=b[r];var _=l._plots[e];if(_.imagelayer){var w=_.imagelayer.selectAll(\"image\").data(c[e]||[]);w.enter().append(\"image\"),w.exit().remove(),w.each((function(t){g.bind(this)(t),y.bind(this)(t)}))}}}},7402:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"images\",layoutAttributes:r(65760),supplyLayoutDefaults:r(25024),includeBasePlot:r(36632)(\"images\"),draw:r(60963),convertCoords:r(63556)}},3800:function(t,e,r){\"use strict\";var n=r(25376),i=r(22548);t.exports={_isSubplotObj:!0,visible:{valType:\"boolean\",dflt:!0,editType:\"legend\"},bgcolor:{valType:\"color\",editType:\"legend\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"legend\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"legend\"},font:n({editType:\"legend\"}),grouptitlefont:n({editType:\"legend\"}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"v\",editType:\"legend\"},traceorder:{valType:\"flaglist\",flags:[\"reversed\",\"grouped\"],extras:[\"normal\"],editType:\"legend\"},tracegroupgap:{valType:\"number\",min:0,dflt:10,editType:\"legend\"},entrywidth:{valType:\"number\",min:0,editType:\"legend\"},entrywidthmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"pixels\",editType:\"legend\"},itemsizing:{valType:\"enumerated\",values:[\"trace\",\"constant\"],dflt:\"trace\",editType:\"legend\"},itemwidth:{valType:\"number\",min:30,dflt:30,editType:\"legend\"},itemclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggle\",editType:\"legend\"},itemdoubleclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggleothers\",editType:\"legend\"},groupclick:{valType:\"enumerated\",values:[\"toggleitem\",\"togglegroup\"],dflt:\"togglegroup\",editType:\"legend\"},x:{valType:\"number\",editType:\"legend\"},xref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"legend\"},y:{valType:\"number\",editType:\"legend\"},yref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"legend\"},uirevision:{valType:\"any\",editType:\"none\"},valign:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"middle\",editType:\"legend\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"legend\"},font:n({editType:\"legend\"}),side:{valType:\"enumerated\",values:[\"top\",\"left\",\"top 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t=n.select(this),e=t.attr(\"class\").split(\" \")[0];e.match(w)&&-1===i.indexOf(e)&&t.remove()}));for(var a=0;a<i.length;a++){var o=i[a];T(t,t._fullLayout[o])}}}},35456:function(t,e,r){\"use strict\";var n=r(24040),i=r(42451);t.exports=function(t,e,r){var a,o,s=e._inHover,l=i.isGrouped(e),u=i.isReversed(e),c={},f=[],h=!1,p={},d=0,v=0;function g(t,n,a){if(!1!==e.visible&&(!r||t===e._id))if(\"\"!==n&&i.isGrouped(e))-1===f.indexOf(n)?(f.push(n),h=!0,c[n]=[a]):c[n].push(a);else{var o=\"~~i\"+d;f.push(o),c[o]=[a],d++}}for(a=0;a<t.length;a++){var y=t[a],m=y[0],x=m.trace,b=x.legend,_=x.legendgroup;if(s||x.visible&&x.showlegend)if(n.traceIs(x,\"pie-like\"))for(p[_]||(p[_]={}),o=0;o<y.length;o++){var w=y[o].label;p[_][w]||(g(b,_,{label:w,color:y[o].color,i:y[o].i,trace:x,pts:y[o].pts}),p[_][w]=!0,v=Math.max(v,(w||\"\").length))}else g(b,_,m),v=Math.max(v,(x.name||\"\").length)}if(!f.length)return[];var T=!h||!l,k=[];for(a=0;a<f.length;a++){var A=c[f[a]];T?k.push(A[0]):k.push(A)}for(T&&(k=[k]),a=0;a<k.length;a++){var M=1/0;for(o=0;o<k[a].length;o++){var S=k[a][o].trace.legendrank;M>S&&(M=S)}k[a][0]._groupMinRank=M,k[a][0]._preGroupSort=a}var E=function(t,e){return t.trace.legendrank-e.trace.legendrank||t._preSort-e._preSort};for(k.forEach((function(t,e){t[0]._preGroupSort=e})),k.sort((function(t,e){return t[0]._groupMinRank-e[0]._groupMinRank||t[0]._preGroupSort-e[0]._preGroupSort})),a=0;a<k.length;a++){k[a].forEach((function(t,e){t._preSort=e})),k[a].sort(E);var L=k[a][0].trace,C=null;for(o=0;o<k[a].length;o++){var P=k[a][o].trace.legendgrouptitle;if(P&&P.text){C=P,s&&(P.font=e._groupTitleFont);break}}if(u&&k[a].reverse(),C){var O=!1;for(o=0;o<k[a].length;o++)if(n.traceIs(k[a][o].trace,\"pie-like\")){O=!0;break}k[a].unshift({i:-1,groupTitle:C,noClick:O,trace:{showlegend:L.showlegend,legendgroup:L.legendgroup,visible:\"toggleitem\"===e.groupclick||L.visible}})}for(o=0;o<k[a].length;o++)k[a][o]=[k[a][o]]}return e._lgroupsLength=k.length,e._maxNameLength=v,k}},33048:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400),a=i.pushUnique,o=!0;t.exports=function(t,e,r){var s=e._fullLayout;if(!e._dragged&&!e._editing){var l,u=s.legend.itemclick,c=s.legend.itemdoubleclick,f=s.legend.groupclick;if(1===r&&\"toggle\"===u&&\"toggleothers\"===c&&o&&e.data&&e._context.showTips?(i.notifier(i._(e,\"Double-click on legend to isolate one trace\"),\"long\"),o=!1):o=!1,1===r?l=u:2===r&&(l=c),l){var h=\"togglegroup\"===f,p=s.hiddenlabels?s.hiddenlabels.slice():[],d=t.data()[0][0];if(!d.groupTitle||!d.noClick){var v=e._fullData,g=(s.shapes||[]).filter((function(t){return t.showlegend})),y=v.concat(g),m=d.trace;m._isShape&&(m=m._fullInput);var x,b,_,w,T,k=m.legendgroup,A={},M=[],S=[],E=[],L=(s.shapes||[]).map((function(t){return t._input})),C=!1,P=m.legend,O=m._fullInput;if(O&&O._isShape||!n.traceIs(m,\"pie-like\")){var I,D=k&&k.length,z=[];if(D)for(x=0;x<y.length;x++)(I=y[x]).visible&&I.legendgroup===k&&z.push(x);if(\"toggle\"===l){var R;switch(m.visible){case!0:R=\"legendonly\";break;case!1:R=!1;break;case\"legendonly\":R=!0}if(D)if(h)for(x=0;x<y.length;x++){var F=y[x];!1!==F.visible&&F.legendgroup===k&&tt(F,R)}else tt(m,R);else tt(m,R)}else if(\"toggleothers\"===l){var B,N,j,U,V=!0;for(x=0;x<y.length;x++)if(B=(U=y[x])===m,N=!0!==U.showlegend,!(B||N||D&&U.legendgroup===k||U.legend!==P||!0!==U.visible||n.traceIs(U,\"notLegendIsolatable\"))){V=!1;break}for(x=0;x<y.length;x++)if(!1!==(U=y[x]).visible&&U.legend===P&&!n.traceIs(U,\"notLegendIsolatable\"))switch(m.visible){case\"legendonly\":tt(U,!0);break;case!0:j=!!V||\"legendonly\",B=U===m,N=!0!==U.showlegend&&!U.legendgroup,tt(U,!!(B||D&&U.legendgroup===k||N)||j)}}for(x=0;x<S.length;x++)if(_=S[x]){var 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Changing format to svg.\"),\"long\"),r.format=\"svg\"),[\"filename\",\"width\",\"height\",\"scale\"].forEach((function(t){t in e&&(r[t]=e[t])})),n.call(\"downloadImage\",t,r).then((function(e){l.notifier(u(t,\"Snapshot succeeded\")+\" - \"+e,\"long\")})).catch((function(){l.notifier(u(t,\"Sorry, there was a problem downloading your snapshot!\"),\"long\")}))}},c.sendDataToCloud={name:\"sendDataToCloud\",title:function(t){return u(t,\"Edit in Chart Studio\")},icon:o.disk,click:function(t){i.sendDataToCloud(t)}},c.editInChartStudio={name:\"editInChartStudio\",title:function(t){return u(t,\"Edit in Chart Studio\")},icon:o.pencil,click:function(t){i.sendDataToCloud(t)}},c.zoom2d={name:\"zoom2d\",_cat:\"zoom\",title:function(t){return u(t,\"Zoom\")},attr:\"dragmode\",val:\"zoom\",icon:o.zoombox,click:f},c.pan2d={name:\"pan2d\",_cat:\"pan\",title:function(t){return u(t,\"Pan\")},attr:\"dragmode\",val:\"pan\",icon:o.pan,click:f},c.select2d={name:\"select2d\",_cat:\"select\",title:function(t){return u(t,\"Box Select\")},attr:\"dragmode\",val:\"select\",icon:o.selectbox,click:f},c.lasso2d={name:\"lasso2d\",_cat:\"lasso\",title:function(t){return u(t,\"Lasso Select\")},attr:\"dragmode\",val:\"lasso\",icon:o.lasso,click:f},c.drawclosedpath={name:\"drawclosedpath\",title:function(t){return u(t,\"Draw closed freeform\")},attr:\"dragmode\",val:\"drawclosedpath\",icon:o.drawclosedpath,click:f},c.drawopenpath={name:\"drawopenpath\",title:function(t){return u(t,\"Draw open freeform\")},attr:\"dragmode\",val:\"drawopenpath\",icon:o.drawopenpath,click:f},c.drawline={name:\"drawline\",title:function(t){return u(t,\"Draw line\")},attr:\"dragmode\",val:\"drawline\",icon:o.drawline,click:f},c.drawrect={name:\"drawrect\",title:function(t){return u(t,\"Draw rectangle\")},attr:\"dragmode\",val:\"drawrect\",icon:o.drawrect,click:f},c.drawcircle={name:\"drawcircle\",title:function(t){return u(t,\"Draw circle\")},attr:\"dragmode\",val:\"drawcircle\",icon:o.drawcircle,click:f},c.eraseshape={name:\"eraseshape\",title:function(t){return u(t,\"Erase active shape\")},icon:o.eraseshape,click:s},c.zoomIn2d={name:\"zoomIn2d\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:f},c.zoomOut2d={name:\"zoomOut2d\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:f},c.autoScale2d={name:\"autoScale2d\",_cat:\"autoscale\",title:function(t){return u(t,\"Autoscale\")},attr:\"zoom\",val:\"auto\",icon:o.autoscale,click:f},c.resetScale2d={name:\"resetScale2d\",_cat:\"resetscale\",title:function(t){return u(t,\"Reset axes\")},attr:\"zoom\",val:\"reset\",icon:o.home,click:f},c.hoverClosestCartesian={name:\"hoverClosestCartesian\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:f},c.hoverCompareCartesian={name:\"hoverCompareCartesian\",_cat:\"hoverCompare\",title:function(t){return u(t,\"Compare data on hover\")},attr:\"hovermode\",val:function(t){return t._fullLayout._isHoriz?\"y\":\"x\"},icon:o.tooltip_compare,gravity:\"ne\",click:f},c.zoom3d={name:\"zoom3d\",_cat:\"zoom\",title:function(t){return u(t,\"Zoom\")},attr:\"scene.dragmode\",val:\"zoom\",icon:o.zoombox,click:h},c.pan3d={name:\"pan3d\",_cat:\"pan\",title:function(t){return u(t,\"Pan\")},attr:\"scene.dragmode\",val:\"pan\",icon:o.pan,click:h},c.orbitRotation={name:\"orbitRotation\",title:function(t){return u(t,\"Orbital rotation\")},attr:\"scene.dragmode\",val:\"orbit\",icon:o[\"3d_rotate\"],click:h},c.tableRotation={name:\"tableRotation\",title:function(t){return u(t,\"Turntable rotation\")},attr:\"scene.dragmode\",val:\"turntable\",icon:o[\"z-axis\"],click:h},c.resetCameraDefault3d={name:\"resetCameraDefault3d\",_cat:\"resetCameraDefault\",title:function(t){return u(t,\"Reset camera to default\")},attr:\"resetDefault\",icon:o.home,click:p},c.resetCameraLastSave3d={name:\"resetCameraLastSave3d\",_cat:\"resetCameraLastSave\",title:function(t){return u(t,\"Reset camera to last save\")},attr:\"resetLastSave\",icon:o.movie,click:p},c.hoverClosest3d={name:\"hoverClosest3d\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);n.call(\"_guiRelayout\",t,r)}},c.zoomInGeo={name:\"zoomInGeo\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:v},c.zoomOutGeo={name:\"zoomOutGeo\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:v},c.resetGeo={name:\"resetGeo\",_cat:\"reset\",title:function(t){return u(t,\"Reset\")},attr:\"reset\",val:null,icon:o.autoscale,click:v},c.hoverClosestGeo={name:\"hoverClosestGeo\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:y},c.hoverClosestGl2d={name:\"hoverClosestGl2d\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:y},c.hoverClosestPie={name:\"hoverClosestPie\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:y},c.resetViewSankey={name:\"resetSankeyGroup\",title:function(t){return u(t,\"Reset view\")},icon:o.home,click:function(t){for(var e={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e[\"node.groups\"].push(i.node.groups.slice()),e[\"node.x\"].push(i.node.x.slice()),e[\"node.y\"].push(i.node.y.slice())}n.call(\"restyle\",t,e)}},c.toggleHover={name:\"toggleHover\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call(\"_guiRelayout\",t,r)}},c.resetViews={name:\"resetViews\",title:function(t){return u(t,\"Reset views\")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},c.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return u(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},c.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return u(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},c.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:m},c.zoomOutMapbox={name:\"zoomOutMapbox\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:m}},76052:function(t,e,r){\"use strict\";var n=r(44248),i=Object.keys(n),a=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],o=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),t.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},90824:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(31780),o=r(66540);t.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var u=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(u,.3)),l(\"activecolor\",i.addOpacity(u,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},45460:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:r(66540),supplyLayoutDefaults:r(90824),manage:r(18816)}},18816:function(t,e,r){\"use strict\";var n=r(79811),i=r(43028),a=r(24040),o=r(10624).isUnifiedHover,s=r(66400),l=r(44248),u=r(76052).DRAW_MODES,c=r(3400).extendDeep;t.exports=function(t){var e=t._fullLayout,r=t._context,f=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var h,p=r.modeBarButtons;h=Array.isArray(p)&&p.length?function(t){for(var e=c([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if(\"string\"==typeof a){if(void 0===l[a])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));e[r][i]=l[a]}}return e}(p):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function c(t,e){if(\"string\"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;\"string\"==typeof f&&(f=[f]);var h=e.modebar.remove;\"string\"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(c(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(c(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),v=e._has(\"cartesian\"),g=e._has(\"gl3d\"),y=e._has(\"geo\"),m=e._has(\"pie\"),x=e._has(\"funnelarea\"),b=e._has(\"gl2d\"),_=e._has(\"ternary\"),w=e._has(\"mapbox\"),T=e._has(\"polar\"),k=e._has(\"smith\"),A=e._has(\"sankey\"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,u=0;u<d.length;u++){var c=d[u].toLowerCase();if(c===a||c===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=[\"toImage\"];s.showEditInChartStudio?C.push(\"editInChartStudio\"):s.showSendToCloud&&C.push(\"sendDataToCloud\"),L(C);var P=[],O=[],I=[],D=[];(v||b||m||x||_)+y+g+w+T+k>1?(O=[\"toggleHover\"],I=[\"resetViews\"]):y?(P=[\"zoomInGeo\",\"zoomOutGeo\"],O=[\"hoverClosestGeo\"],I=[\"resetGeo\"]):g?(O=[\"hoverClosest3d\"],I=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],O=[\"toggleHover\"],I=[\"resetViewMapbox\"]):b?O=[\"hoverClosestGl2d\"]:m?O=[\"hoverClosestPie\"]:A?(O=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],I=[\"resetViewSankey\"]):O=[\"toggleHover\"],v&&(O=[\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"]),(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\"noHover\"))return!1;return!0}(r)||S)&&(O=[]),!v&&!b||M||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==I[0]&&(I=[\"resetScale2d\"])),g?D=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(v||b)&&!M||_?D=[\"zoom2d\",\"pan2d\"]:w||y?D=[\"pan2d\"]:T&&(D=[\"zoom2d\"]),function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,\"scatter-like\")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,\"box-violin\")&&\"all\"!==n.boxpoints&&\"all\"!==n.points||(e=!0))}return e}(r)&&D.push(\"select2d\",\"lasso2d\");var z=[],R=function(t){-1===z.indexOf(t)&&-1!==O.indexOf(t)&&z.push(t)};if(Array.isArray(p)){for(var F=[],B=0;B<p.length;B++){var N=p[B];\"string\"==typeof N?(N=N.toLowerCase(),-1!==u.indexOf(N)?(e._has(\"mapbox\")||e._has(\"cartesian\"))&&D.push(N):\"togglespikelines\"===N?R(\"toggleSpikelines\"):\"togglehover\"===N?R(\"toggleHover\"):\"hovercompare\"===N?R(\"hoverCompareCartesian\"):\"hoverclosest\"===N?(R(\"hoverClosestCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\")):\"v1hovermode\"===N&&(R(\"toggleHover\"),R(\"hoverClosestCartesian\"),R(\"hoverCompareCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\"))):F.push(N)}p=F}return L(D),L(P.concat(I)),L(z),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(E,p)}(t),f?f.update(t,h):e._modeBar=s(t,h)}else f&&(f.destroy(),delete e._modeBar)}},66400:function(t,e,r){\"use strict\";var n=r(33428),i=r(38248),a=r(3400),o=r(9224),s=r(25788).version,l=new DOMParser;function u(t){this.container=t.container,this.element=document.createElement(\"div\"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var c=u.prototype;c.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",\"hover\"===r.displayModeBar&&(this.element.className+=\" modebar--hover ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover \":\"\";a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+\"#\"+i+\" .modebar-group\",\"background-color: \"+o.bgcolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn .icon path\",\"fill: \"+o.color),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn:hover .icon path\",\"fill: \"+o.activecolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn.active .icon path\",\"fill: \"+o.activecolor);var l=!this.hasButtons(e),u=this.hasLogo!==r.displaylogo,c=this.locale!==r.locale;if(this.locale=r.locale,(l||u||c)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var f=this.getLogo();r.watermark&&(f.className=f.className+\" watermark\"),\"v\"===n.modebar.orientation?this.element.insertBefore(f,this.element.childNodes[0]):this.element.appendChild(f),this.hasLogo=!0}this.updateActiveButton()},c.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach((function(t){var r=e.createGroup();t.forEach((function(t){var n=t.name;if(!n)throw new Error(\"must provide button 'name' in button config\");if(-1!==e.buttonsNames.indexOf(n))throw new Error(\"button name '\"+n+\"' is taken\");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},c.createGroup=function(){var t=document.createElement(\"div\");return t.className=\"modebar-group\",t},c.createButton=function(t){var e=this,r=document.createElement(\"a\");r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var i=t.title;void 0===i?i=t.name:\"function\"==typeof i&&(i=i(this.graphInfo)),(i||0===i)&&r.setAttribute(\"data-title\",i),void 0!==t.attr&&r.setAttribute(\"data-attr\",t.attr);var a=t.val;if(void 0!==a&&(\"function\"==typeof a&&(a=a(this.graphInfo)),r.setAttribute(\"data-val\",a)),\"function\"!=typeof t.click)throw new Error(\"must provide button 'click' function in button config\");r.addEventListener(\"click\",(function(r){t.click(e.graphInfo,r),e.updateActiveButton(r.currentTarget)})),r.setAttribute(\"data-toggle\",t.toggle||!1),t.toggle&&n.select(r).classed(\"active\",!0);var s=t.icon;return\"function\"==typeof s?r.appendChild(s()):r.appendChild(this.createIcon(s||o.question)),r.setAttribute(\"data-gravity\",t.gravity||\"n\"),r},c.createIcon=function(t){var e,r=i(t.height)?Number(t.height):t.ascent-t.descent,n=\"http://www.w3.org/2000/svg\";if(t.path){(e=document.createElementNS(n,\"svg\")).setAttribute(\"viewBox\",[0,0,t.width,r].join(\" \")),e.setAttribute(\"class\",\"icon\");var a=document.createElementNS(n,\"path\");a.setAttribute(\"d\",t.path),t.transform?a.setAttribute(\"transform\",t.transform):void 0!==t.ascent&&a.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+t.ascent+\")\"),e.appendChild(a)}return t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]),e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},c.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(\"data-attr\"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute(\"data-val\")||!0,o=t.getAttribute(\"data-attr\"),s=\"true\"===t.getAttribute(\"data-toggle\"),l=n.select(t);if(s)o===r&&l.classed(\"active\",!l.classed(\"active\"));else{var u=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",u===i)}}))},c.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},c.getLogo=function(){var t=this.createGroup(),e=document.createElement(\"a\");return e.href=\"https://plotly.com/\",e.target=\"_blank\",e.setAttribute(\"data-title\",a._(this.graphInfo,\"Produced 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u,c,f=o.selectAll(\".select-outline-\"+n.id);f&&i._fullLayout._outlining&&(s&&(u=T(f,t)),u&&a.call(\"_guiRelayout\",i,{shapes:u}),l&&!U(t)&&(c=k(f,t)),c&&(i._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",i,{selections:c}).then((function(){e&&A(i)}))),i._fullLayout._outlining=!1)}n.selection={},n.selection.selectionDefs=t.selectionDefs=[],n.selection.mergedPolygons=t.mergedPolygons=[]}function X(t){return t._id}function Z(t,e,r,n){if(!t.calcdata)return[];var i,a,o,s=[],l=e.map(X),u=r.map(X);for(o=0;o<t.calcdata.length;o++)if(!0===(a=(i=t.calcdata[o])[0].trace).visible&&a._module&&a._module.selectPoints)if(!U({subplot:n})||a.subplot!==n&&a.geo!==n)if(\"splom\"===a.type){if(a._xaxes[l[0]]&&a._yaxes[u[0]]){var c=K(a._module,i,e[0],r[0]);c.scene=t._fullLayout._splomScenes[a.uid],s.push(c)}}else if(\"sankey\"===a.type){var f=K(a._module,i,e[0],r[0]);s.push(f)}else{if(!(-1!==l.indexOf(a.xaxis)||a._xA&&a._xA.overlaying))continue;if(!(-1!==u.indexOf(a.yaxis)||a._yA&&a._yA.overlaying))continue;s.push(K(a._module,i,C(t,a.xaxis),C(t,a.yaxis)))}else s.push(K(a._module,i,e[0],r[0]));return s}function K(t,e,r,n){return{_module:t,cd:e,xaxis:r,yaxis:n}}function J(t){var e=t.searchInfo.cd[0].trace,r=t.pointNumber,n=t.pointNumbers,i=n.length>0?n[0]:r;return!!e.selectedpoints&&e.selectedpoints.indexOf(i)>-1}function $(t,e,r){var n,i;for(n=0;n<e.length;n++){var o=e[n].cd[0].trace._fullInput,s=t._fullLayout._tracePreGUI[o.uid]||{};void 0===s.selectedpoints&&(s.selectedpoints=o._input.selectedpoints||null)}if(r){var l=r.points||[];for(n=0;n<e.length;n++)(i=e[n].cd[0].trace)._input.selectedpoints=i._fullInput.selectedpoints=[],i._fullInput!==i&&(i.selectedpoints=[]);for(var u=0;u<l.length;u++){var c=l[u],f=c.data,h=c.fullData,p=c.pointIndex,d=c.pointIndices;d?([].push.apply(f.selectedpoints,d),i._fullInput!==i&&[].push.apply(h.selectedpoints,d)):(f.selectedpoints.push(p),i._fullInput!==i&&h.selectedpoints.push(p))}}else for(n=0;n<e.length;n++)delete(i=e[n].cd[0].trace).selectedpoints,delete i._input.selectedpoints,i._fullInput!==i&&delete i._fullInput.selectedpoints;!function(t,e){for(var r=!1,n=0;n<e.length;n++){var i=e[n],o=i.cd;a.traceIs(o[0].trace,\"regl\")&&(r=!0);var s=i._module,l=s.styleOnSelect||s.style;l&&(l(t,o,o[0].node3),o[0].nodeRangePlot3&&l(t,o,o[0].nodeRangePlot3))}r&&(P(t),O(t))}(t,e)}function Q(t,e,r){for(var i=(r?n.difference:n.union)({regions:t},{regions:[e]}).regions.reverse(),a=0;a<i.length;a++){var o=i[a];o.subtract=st(o,i.slice(0,a))}return i}function tt(t,e){if(Array.isArray(t))for(var r=e.cd,n=e.cd[0].trace,i=0;i<t.length;i++)t[i]=u(t[i],n,r);return t}function et(t,e){for(var r=[],n=0;n<t.length;n++){r[n]=[];for(var 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n=e[r][0].trace,i=t._fullLayout._splomScenes;if(i){var a=i[n.uid];a&&(a.selectBatch=[])}}}(t);for(var O={},I=0;I<P.length;I++){var D=P[I],z=D.indexOf(\"y\"),R=D.slice(0,z),F=D.slice(z),B=o&&s?r:void 0;if(B=at(f,R,F,B)){var N=n;if(!l){var j=C(t,R,\"x\"),U=C(t,F,\"y\");N=Z(t,[j],[U],D);for(var V=0;V<N.length;V++){var q=N[V],H=q.cd[0],G=H.trace;if(\"scattergl\"===q._module.name&&!H.t.xpx){var W=G.x,Y=G.y,X=G._length;H.t.xpx=[],H.t.ypx=[];for(var K=0;K<X;K++)H.t.xpx[K]=j.c2p(W[K]),H.t.ypx[K]=U.c2p(Y[K])}\"splom\"===q._module.name&&(O[G.uid]||(O[G.uid]=!0))}}var J=rt(B,N);u=u.concat(J),c=c.concat(N)}}var Q={points:u};$(t,c,Q);var tt=h.clickmode.indexOf(\"event\")>-1&&e;if(!a&&e){var et=ot(t,!0);if(et.length){var nt=et[0].xref,pt=et[0].yref;if(nt&&pt){var dt=ut(et);ct([C(t,nt,\"x\"),C(t,pt,\"y\")])(Q,dt)}}t._fullLayout._noEmitSelectedAtStart?t._fullLayout._noEmitSelectedAtStart=!1:tt&&ft(t,Q),h._reselect=!1}if(!a&&h._deselect){var vt=h._deselect;(function(t,e,r){for(var n=0;n<r.length;n++){var i=r[n];if(i.xaxis&&i.xaxis._id===t&&i.yaxis&&i.yaxis._id===e)return!0}return!1})(o=vt.xref,s=vt.yref,c)||it(t,o,s,n),tt&&(Q.points.length?ft(t,Q):ht(t)),h._deselect=!1}return{eventData:Q,selectionTesters:r}}function it(t,e,r,n){n=Z(t,[C(t,e,\"x\")],[C(t,r,\"y\")],e+r);for(var i=0;i<n.length;i++){var a=n[i];a._module.selectPoints(a,!1)}$(t,n)}function at(t,e,r,n){for(var i,a=0;a<t.length;a++){var o=t[a];e===o.xref&&r===o.yref&&(i?n=G(i=Q(i,o,!!o.subtract)):(i=[o],n=R(o)))}return n}function ot(t,e){for(var r=[],n=t._fullLayout,i=n.selections,a=i.length,o=0;o<a;o++)if(!e||o===n._activeSelectionIndex){var s=i[o];if(s){var l,u,c,f,h,p=s.xref,d=s.yref,v=C(t,p,\"x\"),m=C(t,d,\"y\");if(\"rect\"===s.type){h=[];var x=lt(v,s.x0),b=lt(v,s.x1),_=lt(m,s.y0),w=lt(m,s.y1);h=[[x,_],[x,w],[b,w],[b,_]],l=Math.min(x,b),u=Math.max(x,b),c=Math.min(_,w),f=Math.max(_,w),h.xmin=l,h.xmax=u,h.ymin=c,h.ymax=f,h.xref=p,h.yref=d,h.subtract=!1,h.isRect=!0,r.push(h)}else if(\"path\"===s.type)for(var T=s.path.split(\"Z\"),k=[],A=0;A<T.length;A++){var M=T[A];if(M){M+=\"Z\";var S=g.extractPathCoords(M,y.paramIsX,\"raw\"),E=g.extractPathCoords(M,y.paramIsY,\"raw\");l=1/0,u=-1/0,c=1/0,f=-1/0,h=[];for(var L=0;L<S.length;L++){var P=lt(v,S[L]),O=lt(m,E[L]);h.push([P,O]),l=Math.min(P,l),u=Math.max(P,u),c=Math.min(O,c),f=Math.max(O,f)}h.xmin=l,h.xmax=u,h.ymin=c,h.ymax=f,h.xref=p,h.yref=d,h.subtract=st(h,k),k.push(h),r.push(h)}}}}return r}function st(t,e){for(var r=!1,n=0;n<e.length;n++)for(var a=e[n],o=0;o<t.length;o++)if(i(t[o],a)){r=!r;break}return r}function lt(t,e){return\"date\"===t.type&&(e=e.replace(\"_\",\" \")),\"log\"===t.type?t.c2p(e):t.r2p(e,null,t.calendar)}function ut(t){for(var e=t.length,r=[],n=0;n<e;n++){var i=t[n];r=(r=r.concat(i)).concat([i[0]])}return(a=r).isRect=5===a.length&&a[0][0]===a[4][0]&&a[0][1]===a[4][1]&&a[0][0]===a[1][0]&&a[2][0]===a[3][0]&&a[0][1]===a[3][1]&&a[1][1]===a[2][1]||a[0][1]===a[1][1]&&a[2][1]===a[3][1]&&a[0][0]===a[3][0]&&a[1][0]===a[2][0],a.isRect&&(a.xmin=Math.min(a[0][0],a[2][0]),a.xmax=Math.max(a[0][0],a[2][0]),a.ymin=Math.min(a[0][1],a[2][1]),a.ymax=Math.max(a[0][1],a[2][1])),a;var a}function ct(t){return function(e,r){for(var n,i,a=0;a<t.length;a++){var o=t[a],s=o._id,l=s.charAt(0);if(r.isRect){n||(n={});var u=r[l+\"min\"],c=r[l+\"max\"];void 0!==u&&void 0!==c&&(n[s]=[B(o,u),B(o,c)].sort(S))}else i||(i={}),i[s]=r.map(N(o))}n&&(e.range=n),i&&(e.lassoPoints=i)}}function ft(t,e){e&&(e.selections=(t.layout||{}).selections||[]),t.emit(\"plotly_selected\",e)}function ht(t){t.emit(\"plotly_deselect\",null)}t.exports={reselect:nt,prepSelect:function(t,e,r,n,i){var u=!U(n),c=f(i),g=h(i),y=d(i),x=p(i),b=v(i),w=\"drawcircle\"===i,T=\"drawline\"===i||w,k=n.gd,A=k._fullLayout,S=b&&\"immediate\"===A.newselection.mode&&u,E=A._zoomlayer,C=n.element.getBoundingClientRect(),P=n.plotinfo,O=j(P),F=e-C.left,B=r-C.top;A._calcInverseTransform(k);var N=M.apply3DTransform(A._invTransform)(F,B);F=N[0],B=N[1];var q,H,X,K,J,tt,at,ot=A._invScaleX,st=A._invScaleY,lt=F,pt=B,dt=\"M\"+F+\",\"+B,vt=n.xaxes[0],gt=n.yaxes[0],yt=vt._length,mt=gt._length,xt=t.altKey&&!(p(i)&&y);W(t,k,n),c&&(q=z([[F,B]],I.BENDPX));var bt=E.selectAll(\"path.select-outline-\"+P.id).data([1]),_t=x?A.newshape:A.newselection;x&&(n.hasText=_t.label.text||_t.label.texttemplate);var wt=x&&!y?_t.fillcolor:\"rgba(0,0,0,0)\",Tt=_t.line.color||(u?s.contrast(k._fullLayout.plot_bgcolor):\"#7f7f7f\");bt.enter().append(\"path\").attr(\"class\",\"select-outline 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s=A.selections[o];s.xref!==t||s.yref!==e?n.push(r[o]):i=!0}i&&(k._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",k,{selections:n}))}});var Lt=function(t){return t.plotinfo.fillRangeItems||ct(t.xaxes.concat(t.yaxes))}(n);n.moveFn=function(t,e){n._clearSubplotSelections&&(n._clearSubplotSelections(),n._clearSubplotSelections=void 0),lt=Math.max(0,Math.min(yt,ot*t+F)),pt=Math.max(0,Math.min(mt,st*e+B));var r=Math.abs(lt-F),i=Math.abs(pt-B);if(g){var a,o,s;if(b){var l=A.selectdirection;switch(a=\"any\"===l?i<Math.min(.6*r,D)?\"h\":r<Math.min(.6*i,D)?\"v\":\"d\":l){case\"h\":o=w?mt/2:0,s=mt;break;case\"v\":o=w?yt/2:0,s=yt}}if(x)switch(A.newshape.drawdirection){case\"vertical\":a=\"h\",o=w?mt/2:0,s=mt;break;case\"horizontal\":a=\"v\",o=w?yt/2:0,s=yt;break;case\"ortho\":r<i?(a=\"h\",o=B,s=pt):(a=\"v\",o=F,s=lt);break;default:a=\"d\"}\"h\"===a?((K=T?_(w,[lt,o],[lt,s]):[[F,o],[F,s],[lt,s],[lt,o]]).xmin=T?lt:Math.min(F,lt),K.xmax=T?lt:Math.max(F,lt),K.ymin=Math.min(o,s),K.ymax=Math.max(o,s),kt.attr(\"d\",\"M\"+K.xmin+\",\"+(B-D)+\"h-4v\"+2*D+\"h4ZM\"+(K.xmax-1)+\",\"+(B-D)+\"h4v\"+2*D+\"h-4Z\")):\"v\"===a?((K=T?_(w,[o,pt],[s,pt]):[[o,B],[o,pt],[s,pt],[s,B]]).xmin=Math.min(o,s),K.xmax=Math.max(o,s),K.ymin=T?pt:Math.min(B,pt),K.ymax=T?pt:Math.max(B,pt),kt.attr(\"d\",\"M\"+(F-D)+\",\"+K.ymin+\"v-4h\"+2*D+\"v4ZM\"+(F-D)+\",\"+(K.ymax-1)+\"v4h\"+2*D+\"v-4Z\")):\"d\"===a&&((K=T?_(w,[F,B],[lt,pt]):[[F,B],[F,pt],[lt,pt],[lt,B]]).xmin=Math.min(F,lt),K.xmax=Math.max(F,lt),K.ymin=Math.min(B,pt),K.ymax=Math.max(B,pt),kt.attr(\"d\",\"M0,0Z\"))}else c&&(q.addPt([lt,pt]),K=q.filtered);if(n.selectionDefs&&n.selectionDefs.length?(X=Q(n.mergedPolygons,K,xt),K.subtract=xt,H=G(n.selectionDefs.concat([K]))):(X=[K],H=R(K)),m(et(X,y),bt,n),b){var u,f=nt(k,!1),h=f.eventData?f.eventData.points.slice():[];f=nt(k,!1,H,Et,n),H=f.selectionTesters,at=f.eventData,u=q?q.filtered:ut(X),L.throttle(Mt,I.SELECTDELAY,(function(){for(var t=(St=rt(H,Et)).slice(),e=0;e<h.length;e++){for(var r=h[e],n=!1,i=0;i<t.length;i++)if(t[i].curveNumber===r.curveNumber&&t[i].pointNumber===r.pointNumber){n=!0;break}n||t.push(r)}t.length&&(at||(at={}),at.points=t),Lt(at,u),function(t,e){t.emit(\"plotly_selecting\",e)}(k,at)}))}},n.clickFn=function(t,e){if(kt.remove(),k._fullLayout._activeShapeIndex>=0)k._fullLayout._deactivateShape(k);else if(!x){var r=A.clickmode;L.done(Mt).then((function(){if(L.clear(Mt),2===t){for(bt.remove(),J=0;J<Et.length;J++)(tt=Et[J])._module.selectPoints(tt,!1);if($(k,Et),Y(n),ht(k),Et.length){var i=Et[0].xaxis,o=Et[0].yaxis;if(i&&o){for(var s=[],u=k._fullLayout.selections,c=0;c<u.length;c++){var f=u[c];f&&(f.xref===i._id&&f.yref===o._id||s.push(f))}s.length<u.length&&(k._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",k,{selections:s}))}}}else r.indexOf(\"select\")>-1&&V(e,k,n.xaxes,n.yaxes,n.subplot,n,bt),\"event\"===r&&ft(k,void 0);l.click(k,e,P.id)})).catch(M.error)}},n.doneFn=function(){kt.remove(),L.done(Mt).then((function(){L.clear(Mt),!S&&K&&n.selectionDefs&&(K.subtract=xt,n.selectionDefs.push(K),n.mergedPolygons.length=0,[].push.apply(n.mergedPolygons,X)),(S||x)&&Y(n,S),n.doneFnCompleted&&n.doneFnCompleted(St),b&&ft(k,at)})).catch(M.error)}},clearOutline:x,clearSelectionsCache:Y,selectOnClick:V}},46056:function(t,e,r){\"use strict\";var n=r(13916),i=r(25376),a=r(52904).line,o=r(98192).u,s=r(92880).extendFlat,l=r(31780).templatedArray,u=(r(36208),r(45464)),c=r(21776).ye,f=r(97728);t.exports=l(\"shape\",{visible:s({},u.visible,{editType:\"calc+arraydraw\"}),showlegend:{valType:\"boolean\",dflt:!1,editType:\"calc+arraydraw\"},legend:s({},u.legend,{editType:\"calc+arraydraw\"}),legendgroup:s({},u.legendgroup,{editType:\"calc+arraydraw\"}),legendgrouptitle:{text:s({},u.legendgrouptitle.text,{editType:\"calc+arraydraw\"}),font:i({editType:\"calc+arraydraw\"}),editType:\"calc+arraydraw\"},legendrank:s({},u.legendrank,{editType:\"calc+arraydraw\"}),legendwidth:s({},u.legendwidth,{editType:\"calc+arraydraw\"}),type:{valType:\"enumerated\",values:[\"circle\",\"rect\",\"path\",\"line\"],editType:\"calc+arraydraw\"},layer:{valType:\"enumerated\",values:[\"below\",\"above\"],dflt:\"above\",editType:\"arraydraw\"},xref:s({},n.xref,{}),xsizemode:{valType:\"enumerated\",values:[\"scaled\",\"pixel\"],dflt:\"scaled\",editType:\"calc+arraydraw\"},xanchor:{valType:\"any\",editType:\"calc+arraydraw\"},x0:{valType:\"any\",editType:\"calc+arraydraw\"},x1:{valType:\"any\",editType:\"calc+arraydraw\"},yref:s({},n.yref,{}),ysizemode:{valType:\"enumerated\",values:[\"scaled\",\"pixel\"],dflt:\"scaled\",editType:\"calc+arraydraw\"},yanchor:{valType:\"any\",editType:\"calc+arraydraw\"},y0:{valType:\"any\",editType:\"calc+arraydraw\"},y1:{valType:\"any\",editType:\"calc+arraydraw\"},path:{valType:\"string\",editType:\"calc+arraydraw\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,editType:\"arraydraw\"},line:{color:s({},a.color,{editType:\"arraydraw\"}),width:s({},a.width,{editType:\"calc+arraydraw\"}),dash:s({},o,{editType:\"arraydraw\"}),editType:\"calc+arraydraw\"},fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"arraydraw\"},fillrule:{valType:\"enumerated\",values:[\"evenodd\",\"nonzero\"],dflt:\"evenodd\",editType:\"arraydraw\"},editable:{valType:\"boolean\",dflt:!1,editType:\"calc+arraydraw\"},label:{text:{valType:\"string\",dflt:\"\",editType:\"arraydraw\"},texttemplate:c({},{keys:Object.keys(f)}),font:i({editType:\"calc+arraydraw\",colorEditType:\"arraydraw\"}),textposition:{valType:\"enumerated\",values:[\"top 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n=r(76308),i=r(3400);t.exports=function(t,e,r){if(r(\"newshape.visible\"),r(\"newshape.name\"),r(\"newshape.showlegend\"),r(\"newshape.legend\"),r(\"newshape.legendwidth\"),r(\"newshape.legendgroup\"),r(\"newshape.legendgrouptitle.text\"),i.coerceFont(r,\"newshape.legendgrouptitle.font\"),r(\"newshape.legendrank\"),r(\"newshape.drawdirection\"),r(\"newshape.layer\"),r(\"newshape.fillcolor\"),r(\"newshape.fillrule\"),r(\"newshape.opacity\"),r(\"newshape.line.width\")){var a=(t||{}).plot_bgcolor||\"#FFF\";r(\"newshape.line.color\",n.contrast(a)),r(\"newshape.line.dash\")}var o=\"drawline\"===t.dragmode,s=r(\"newshape.label.text\"),l=r(\"newshape.label.texttemplate\");if(s||l){r(\"newshape.label.textangle\");var u=r(\"newshape.label.textposition\",o?\"middle\":\"middle center\");r(\"newshape.label.xanchor\"),r(\"newshape.label.yanchor\",function(t,e){return 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m,x,b,_,w=[],T=f[y][0],k=T;switch(T){case\"M\":h[++p]=[],d=+f[y][1],v=+f[y][2],w.push([k,d,v]),g();break;case\"Q\":case\"S\":m=+f[y][1],b=+f[y][2],d=+f[y][3],v=+f[y][4],w.push([k,d,v,m,b]);break;case\"C\":m=+f[y][1],b=+f[y][2],x=+f[y][3],_=+f[y][4],d=+f[y][5],v=+f[y][6],w.push([k,d,v,m,b,x,_]);break;case\"T\":case\"L\":d=+f[y][1],v=+f[y][2],w.push([k,d,v]);break;case\"H\":k=\"L\",d=+f[y][1],w.push([k,d,v]);break;case\"V\":k=\"L\",v=+f[y][1],w.push([k,d,v]);break;case\"A\":k=\"L\";var A=+f[y][1],M=+f[y][2];+f[y][4]||(A=-A,M=-M);var S=d-A,E=v;for(o=1;o<=a/2;o++){var L=2*Math.PI*o/a;w.push([k,S+A*Math.cos(L),E+M*Math.sin(L)])}break;case\"Z\":d===s&&v===c||(d=s,v=c,w.push([k,d,v]))}for(var C=(r||{}).domain,P=e._fullLayout._size,O=r&&\"pixel\"===r.xsizemode,I=r&&\"pixel\"===r.ysizemode,D=!1===i,z=0;z<w.length;z++){for(o=0;o+2<7;o+=2){var R=w[z][o+1],F=w[z][o+2];void 0!==R&&void 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p=2*h*Math.PI/a;f.push([s+u*Math.cos(p),l+c*Math.sin(p)])}return f},e.ellipseOver=function(t){var e=t.x0,r=t.y0,n=t.x1,i=t.y1,a=n-e,s=i-r,l=((e-=a)+n)/2,u=((r-=s)+i)/2;return{x0:l-(a*=o),y0:u-(s*=o),x1:l+a,y1:u+s}},e.fixDatesForPaths=function(t,e,r){var n=\"date\"===e.type,i=\"date\"===r.type;if(!n&&!i)return t;for(var a=0;a<t.length;a++)for(var o=0;o<t[a].length;o++)for(var s=0;s+2<t[a][o].length;s+=2)n&&(t[a][o][s+1]=t[a][o][s+1].replace(\" \",\"_\")),i&&(t[a][o][s+2]=t[a][o][s+2].replace(\" \",\"_\"));return t}},93940:function(t,e,r){\"use strict\";var n=r(72760),i=n.drawMode,a=n.openMode,o=r(7e3),s=o.i000,l=o.i090,u=o.i180,c=o.i270,f=o.cos45,h=o.sin45,p=r(5840),d=p.p2r,v=p.r2p,g=r(1936).clearOutline,y=r(9856),m=y.readPaths,x=y.writePaths,b=y.ellipseOver,_=y.fixDatesForPaths;function w(t,e,r){var n,i=t[0][0],o=e.gd,p=i.getAttribute(\"d\"),g=o._fullLayout.newshape,y=e.plotinfo,w=e.isActiveShape,T=y.xaxis,k=y.yaxis,A=!!y.domain||!y.xaxis,M=!!y.domain||!y.yaxis,S=a(r),E=m(p,o,y,w),L={editable:!0,visible:g.visible,name:g.name,showlegend:g.showlegend,legend:g.legend,legendwidth:g.legendwidth,legendgroup:g.legendgroup,legendgrouptitle:{text:g.legendgrouptitle.text,font:g.legendgrouptitle.font},legendrank:g.legendrank,label:g.label,xref:A?\"paper\":T._id,yref:M?\"paper\":k._id,layer:g.layer,opacity:g.opacity,line:{color:g.line.color,width:g.line.width,dash:g.line.dash}};if(S||(L.fillcolor=g.fillcolor,L.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&\"drawrect\"===r)L.type=\"rect\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[2][1],L.y1=n[2][2];else if(n&&\"drawline\"===r)L.type=\"line\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[1][1],L.y1=n[1][2];else if(n&&\"drawcircle\"===r){L.type=\"circle\";var C=n[s][1],P=n[l][1],O=n[u][1],I=n[c][1],D=n[s][2],z=n[l][2],R=n[u][2],F=n[c][2],B=y.xaxis&&(\"date\"===y.xaxis.type||\"log\"===y.xaxis.type),N=y.yaxis&&(\"date\"===y.yaxis.type||\"log\"===y.yaxis.type);B&&(C=v(y.xaxis,C),P=v(y.xaxis,P),O=v(y.xaxis,O),I=v(y.xaxis,I)),N&&(D=v(y.yaxis,D),z=v(y.yaxis,z),R=v(y.yaxis,R),F=v(y.yaxis,F));var j=(P+I)/2,U=(D+R)/2,V=b({x0:j,y0:U,x1:j+(I-P+O-C)/2*f,y1:U+(F-z+R-D)/2*h});B&&(V.x0=d(y.xaxis,V.x0),V.x1=d(y.xaxis,V.x1)),N&&(V.y0=d(y.yaxis,V.y0),V.y1=d(y.yaxis,V.y1)),L.x0=V.x0,L.y0=V.y0,L.x1=V.x1,L.y1=V.y1}else L.type=\"path\",T&&k&&_(E,T,k),L.path=x(E),n=null;return L}t.exports={newShapes:function(t,e){if(t.length&&t[0][0]){var r=e.gd,n=e.isActiveShape,a=e.dragmode,o=(r.layout||{}).shapes||[];if(!i(a)&&void 0!==n){var s=r._fullLayout._activeShapeIndex;if(s<o.length)switch(r._fullLayout.shapes[s].type){case\"rect\":a=\"drawrect\";break;case\"circle\":a=\"drawcircle\";break;case\"line\":a=\"drawline\";break;case\"path\":var l=o[s].path||\"\";a=\"Z\"===l[l.length-1]?\"drawclosedpath\":\"drawopenpath\"}}var u=w(t,e,a);g(r);for(var c=e.editHelpers,f=(c||{}).modifyItem,h=[],p=0;p<o.length;p++){var d=r._fullLayout.shapes[p];if(h[p]=d._input,void 0!==n&&p===r._fullLayout._activeShapeIndex){var v=u;switch(d.type){case\"line\":case\"rect\":case\"circle\":f(\"x0\",v.x0),f(\"x1\",v.x1),f(\"y0\",v.y0),f(\"y1\",v.y1);break;case\"path\":f(\"path\",v.path)}}}return void 0===n?(h.push(u),h):c?c.getUpdateObj():{}}},createShapeObj:w}},1936:function(t){\"use strict\";t.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove()},clearOutline:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._outlining=!1}}},65152:function(t,e,r){\"use strict\";var n=r(85448),i=r(3400),a=r(54460);e.rangeToShapePosition=function(t){return\"log\"===t.type?t.r2d:function(t){return t}},e.shapePositionToRange=function(t){return\"log\"===t.type?t.d2r:function(t){return t}},e.decodeDate=function(t){return function(e){return e.replace&&(e=e.replace(\"_\",\" \")),t(e)}},e.encodeDate=function(t){return function(e){return t(e).replace(\" \",\"_\")}},e.extractPathCoords=function(t,e,r){var a=[];return t.match(n.segmentRE).forEach((function(t){var o=e[t.charAt(0)].drawn;if(void 0!==o){var s=t.substr(1).match(n.paramRE);if(s&&!(s.length<o)){var l=s[o],u=r?l:i.cleanNumber(l);a.push(u)}}})),a},e.getDataToPixel=function(t,r,n,i){var a,o=t._fullLayout._size;if(r)if(\"domain\"===i)a=function(t){return r._length*(n?1-t:t)+r._offset};else{var s=e.shapePositionToRange(r);a=function(t){return r._offset+r.r2p(s(t,!0))},\"date\"===r.type&&(a=e.decodeDate(a))}else a=n?function(t){return o.t+o.h*(1-t)}:function(t){return o.l+o.w*t};return a},e.getPixelToData=function(t,r,n,i){var a,o=t._fullLayout._size;if(r)if(\"domain\"===i)a=function(t){var e=(t-r._offset)/r._length;return n?1-e:e};else{var s=e.rangeToShapePosition(r);a=function(t){return s(r.p2r(t-r._offset))}}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return(t-o.l)/o.w};return a},e.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},e.makeShapesOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.shapes[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&\"paper\"!==r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&\"paper\"!==r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),n.xsizemode=r.xsizemode,n.ysizemode=r.ysizemode,n.xanchor=r.xanchor,n.yanchor=r.yanchor,{options:r,plotinfo:n}},e.makeSelectionsOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.selections[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),{options:r,plotinfo:n}},e.getPathString=function(t,r){var o,s,l,u,c,f,h,p,d=r.type,v=a.getRefType(r.xref),g=a.getRefType(r.yref),y=a.getFromId(t,r.xref),m=a.getFromId(t,r.yref),x=t._fullLayout._size;if(y?\"domain\"===v?s=function(t){return y._offset+y._length*t}:(o=e.shapePositionToRange(y),s=function(t){return y._offset+y.r2p(o(t,!0))}):s=function(t){return x.l+x.w*t},m?\"domain\"===g?u=function(t){return m._offset+m._length*(1-t)}:(l=e.shapePositionToRange(m),u=function(t){return m._offset+m.r2p(l(t,!0))}):u=function(t){return x.t+x.h*(1-t)},\"path\"===d)return y&&\"date\"===y.type&&(s=e.decodeDate(s)),m&&\"date\"===m.type&&(u=e.decodeDate(u)),function(t,e,r){var a=t.path,o=t.xsizemode,s=t.ysizemode,l=t.xanchor,u=t.yanchor;return a.replace(n.segmentRE,(function(t){var a=0,c=t.charAt(0),f=n.paramIsX[c],h=n.paramIsY[c],p=n.numParams[c],d=t.substr(1).replace(n.paramRE,(function(t){return f[a]?t=\"pixel\"===o?e(l)+Number(t):e(t):h[a]&&(t=\"pixel\"===s?r(u)-Number(t):r(t)),++a>p&&(t=\"X\"),t}));return a>p&&(d=d.replace(/[\\s,]*X.*/,\"\"),i.log(\"Ignoring extra params in segment \"+t)),c+d}))}(r,s,u);if(\"pixel\"===r.xsizemode){var b=s(r.xanchor);c=b+r.x0,f=b+r.x1}else c=s(r.x0),f=s(r.x1);if(\"pixel\"===r.ysizemode){var _=u(r.yanchor);h=_-r.y0,p=_-r.y1}else h=u(r.y0),p=u(r.y1);if(\"line\"===d)return\"M\"+c+\",\"+h+\"L\"+f+\",\"+p;if(\"rect\"===d)return\"M\"+c+\",\"+h+\"H\"+f+\"V\"+p+\"H\"+c+\"Z\";var w=(c+f)/2,T=(h+p)/2,k=Math.abs(w-c),A=Math.abs(T-h),M=\"A\"+k+\",\"+A,S=w+k+\",\"+T;return\"M\"+S+M+\" 0 1,1 \"+w+\",\"+(T-A)+M+\" 0 0,1 \"+S+\"Z\"}},41592:function(t,e,r){\"use strict\";var n=r(4016);t.exports={moduleType:\"component\",name:\"shapes\",layoutAttributes:r(46056),supplyLayoutDefaults:r(43712),supplyDrawNewShapeDefaults:r(65144),includeBasePlot:r(36632)(\"shapes\"),calcAutorange:r(96084),draw:n.draw,drawOne:n.drawOne}},97728:function(t){\"use strict\";function e(t,e){return e?e.d2l(t):t}function r(t,e){return e?e.l2d(t):t}function n(t,r){return e(t.x1,r)-e(t.x0,r)}function i(t,r,n){return e(t.y1,n)-e(t.y0,n)}t.exports={x0:function(t){return t.x0},x1:function(t){return t.x1},y0:function(t){return t.y0},y1:function(t){return t.y1},slope:function(t,e,r){return\"line\"!==t.type?void 0:i(t,0,r)/n(t,e)},dx:n,dy:i,width:function(t,e){return Math.abs(n(t,e))},height:function(t,e,r){return Math.abs(i(t,0,r))},length:function(t,e,r){return\"line\"!==t.type?void 0:Math.sqrt(Math.pow(n(t,e),2)+Math.pow(i(t,0,r),2))},xcenter:function(t,n){return r((e(t.x1,n)+e(t.x0,n))/2,n)},ycenter:function(t,n,i){return r((e(t.y1,i)+e(t.y0,i))/2,i)}}},89861:function(t,e,r){\"use 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h=t._fullLayout._size;c.lx=h.l+h.w*e.x,c.ly=h.t+h.h*(1-e.y),\"fraction\"===e.lenmode?c.outerLength=Math.round(h.w*e.len):c.outerLength=e.len,c.inputAreaStart=0,c.inputAreaLength=Math.round(c.outerLength-e.pad.l-e.pad.r);var p=(c.inputAreaLength-2*f.stepInset)/(e._stepCount-1),y=a+f.labelPadding;if(c.labelStride=Math.max(1,Math.ceil(y/p)),c.labelHeight=l,c.currentValueMaxWidth=0,c.currentValueHeight=0,c.currentValueTotalHeight=0,c.currentValueMaxLines=1,e.currentvalue.visible){var m=o.tester.append(\"g\");r.each((function(t){var r=x(m,e,t.label),n=r.node()&&o.bBox(r.node())||{width:0,height:0},i=u.lineCount(r);c.currentValueMaxWidth=Math.max(c.currentValueMaxWidth,Math.ceil(n.width)),c.currentValueHeight=Math.max(c.currentValueHeight,Math.ceil(n.height)),c.currentValueMaxLines=Math.max(c.currentValueMaxLines,i)})),c.currentValueTotalHeight=c.currentValueHeight+e.currentvalue.offset,m.remove()}c.height=c.currentValueTotalHeight+f.tickOffset+e.ticklen+f.labelOffset+c.labelHeight+e.pad.t+e.pad.b;var b=\"left\";s.isRightAnchor(e)&&(c.lx-=c.outerLength,b=\"right\"),s.isCenterAnchor(e)&&(c.lx-=c.outerLength/2,b=\"center\");var w=\"top\";s.isBottomAnchor(e)&&(c.ly-=c.height,w=\"bottom\"),s.isMiddleAnchor(e)&&(c.ly-=c.height/2,w=\"middle\"),c.outerLength=Math.ceil(c.outerLength),c.height=Math.ceil(c.height),c.lx=Math.round(c.lx),c.ly=Math.round(c.ly);var T={y:e.y,b:c.height*v[w],t:c.height*d[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[b],T.r=0,T.xr=e.x+e.len*v[b]):(T.x=e.x,T.l=c.outerLength*d[b],T.r=c.outerLength*v[b]),i.autoMargin(t,g(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=a.inputAreaLength-f.currentValueInset-a.currentValueMaxWidth,i=\"left\";break;case\"center\":n=.5*a.inputAreaLength,i=\"middle\";break;default:n=f.currentValueInset,i=\"left\"}var l=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":i,\"data-notex\":1})})),c=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)c+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),c+=h}e.currentvalue.suffix&&(c+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(c).call(u.convertToTspans,e._gd);var v=u.lineCount(l),g=(a.currentValueMaxLines+1-v)*e.currentvalue.font.size*p;return u.positionText(l,n,g),l}}function b(t,e,r){s.ensureSingle(t,\"rect\",f.gripRectClass,(function(n){n.call(A,e,t,r).style(\"pointer-events\",\"all\")})).attr({width:f.gripWidth,height:f.gripHeight,rx:f.gripRadius,ry:f.gripRadius}).call(a.stroke,r.bordercolor).call(a.fill,r.bgcolor).style(\"stroke-width\",r.borderwidth+\"px\")}function _(t,e,r){var n=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":\"middle\",\"data-notex\":1})})),i=e.step.label,a=r._gd._fullLayout._meta;return a&&(i=s.templateString(i,a)),n.call(o.font,r.font).text(i).call(u.convertToTspans,r._gd),n}function w(t,e){var r=s.ensureSingle(t,\"g\",f.labelsClass),i=e._dims,a=r.selectAll(\"g.\"+f.labelGroupClass).data(i.labelSteps);a.enter().append(\"g\").classed(f.labelGroupClass,!0),a.exit().remove(),a.each((function(t){var r=n.select(this);r.call(_,t,e),o.setTranslate(r,E(e,t.fraction),f.tickOffset+e.ticklen+e.font.size*p+f.labelOffset+i.currentValueTotalHeight)}))}function T(t,e,r,n,i){var a=Math.round(n*(r._stepCount-1)),o=r._visibleSteps[a]._index;o!==r.active&&k(t,e,r,o,!0,i)}function k(t,e,r,n,a,o){var s=r.active;r.active=n,c(t.layout,f.name,r).applyUpdate(\"active\",n);var l=r.steps[r.active];e.call(S,r,o),e.call(x,r),t.emit(\"plotly_sliderchange\",{slider:r,step:r.steps[r.active],interaction:a,previousActive:s}),l&&l.method&&a&&(e._nextMethod?(e._nextMethod.step=l,e._nextMethod.doCallback=a,e._nextMethod.doTransition=o):(e._nextMethod={step:l,doCallback:a,doTransition:o},e._nextMethodRaf=window.requestAnimationFrame((function(){var r=e._nextMethod.step;r.method&&(r.execute&&i.executeAPICommand(t,r.method,r.args),e._nextMethod=null,e._nextMethodRaf=null)}))))}function A(t,e,r){if(!e._context.staticPlot){var i=r.node(),o=n.select(e);t.on(\"mousedown\",l),t.on(\"touchstart\",l)}function s(){return r.data()[0]}function l(){var t=s();e.emit(\"plotly_sliderstart\",{slider:t});var l=r.select(\".\"+f.gripRectClass);n.event.stopPropagation(),n.event.preventDefault(),l.call(a.fill,t.activebgcolor);var u=L(t,n.mouse(i)[0]);function c(){var t=s(),a=L(t,n.mouse(i)[0]);T(e,r,t,a,!1)}function h(){var t=s();t._dragging=!1,l.call(a.fill,t.bgcolor),o.on(\"mouseup\",null),o.on(\"mousemove\",null),o.on(\"touchend\",null),o.on(\"touchmove\",null),e.emit(\"plotly_sliderend\",{slider:t,step:t.steps[t.active]})}T(e,r,t,u,!0),t._dragging=!0,o.on(\"mousemove\",c),o.on(\"touchmove\",c),o.on(\"mouseup\",h),o.on(\"touchend\",h)}}function M(t,e){var r=t.selectAll(\"rect.\"+f.tickRectClass).data(e._visibleSteps),i=e._dims;r.enter().append(\"rect\").classed(f.tickRectClass,!0),r.exit().remove(),r.attr({width:e.tickwidth+\"px\",\"shape-rendering\":\"crispEdges\"}),r.each((function(t,r){var 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n=r._dims,i=s.ensureSingle(t,\"rect\",f.railTouchRectClass,(function(n){n.call(A,e,t,r).style(\"pointer-events\",\"all\")}));i.attr({width:n.inputAreaLength,height:Math.max(n.inputAreaWidth,f.tickOffset+r.ticklen+n.labelHeight)}).call(a.fill,r.bgcolor).attr(\"opacity\",0),o.setTranslate(i,0,n.currentValueTotalHeight)}function P(t,e){var r=e._dims,n=r.inputAreaLength-2*f.railInset,i=s.ensureSingle(t,\"rect\",f.railRectClass);i.attr({width:n,height:f.railWidth,rx:f.railRadius,ry:f.railRadius,\"shape-rendering\":\"crispEdges\"}).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\"),o.setTranslate(i,f.railInset,.5*(r.inputAreaWidth-f.railWidth)+r.currentValueTotalHeight)}t.exports=function(t){var e=t._context.staticPlot,r=t._fullLayout,a=function(t,e){for(var r=t[f.name],n=[],i=0;i<r.length;i++){var a=r[i];a.visible&&(a._gd=e,n.push(a))}return n}(r,t),s=r._infolayer.selectAll(\"g.\"+f.containerClassName).data(a.length>0?[0]:[]);function 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n=r._dims;o.setTranslate(e,n.lx+r.pad.l,n.ly+r.pad.t),e.call(S,r,!1),e.call(x,r)}(t,n.select(this),e)}))}}},97544:function(t,e,r){\"use strict\";var n=r(60876);t.exports={moduleType:\"component\",name:n.name,layoutAttributes:r(89861),supplyLayoutDefaults:r(8132),draw:r(79664)}},81668:function(t,e,r){\"use strict\";var n=r(33428),i=r(38248),a=r(7316),o=r(24040),s=r(3400),l=s.strTranslate,u=r(43616),c=r(76308),f=r(72736),h=r(13448),p=r(84284).OPPOSITE_SIDE,d=/ [XY][0-9]* /;t.exports={draw:function(t,e,r){var v,g=r.propContainer,y=r.propName,m=r.placeholder,x=r.traceIndex,b=r.avoid||{},_=r.attributes,w=r.transform,T=r.containerGroup,k=t._fullLayout,A=1,M=!1,S=g.title,E=(S&&S.text?S.text:\"\").trim(),L=S&&S.font?S.font:{},C=L.family,P=L.size,O=L.color;\"title.text\"===y?v=\"titleText\":-1!==y.indexOf(\"axis\")?v=\"axisTitleText\":y.indexOf(!0)&&(v=\"colorbarTitleText\");var I=t._context.edits[v];\"\"===E?A=0:E.replace(d,\" % \")===m.replace(d,\" % 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e=!!t.hbar,r=!!t.vbar;e&&t.hbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){e=!1,r||t.disable()})),r&&t.vbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){r=!1,e||t.disable()}))}(a))}function m(t,e,r,n){t.call(x,e).call(b,e,r,n)}function x(t,e){s.ensureSingle(t,\"rect\",f.itemRectClassName,(function(t){t.attr({rx:f.rx,ry:f.ry,\"shape-rendering\":\"crispEdges\"})})).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\")}function b(t,e,r,n){var i=s.ensureSingle(t,\"text\",f.itemTextClassName,(function(t){t.attr({\"text-anchor\":\"start\",\"data-notex\":1})})),a=r.label,u=n._fullLayout._meta;u&&(a=s.templateString(a,u)),i.call(o.font,e.font).text(a).call(l.convertToTspans,n)}function _(t,e){var r=e.active;t.each((function(t,i){var o=n.select(this);i===r&&e.showactive&&o.select(\"rect.\"+f.itemRectClassName).call(a.fill,f.activeColor)}))}function w(t){t.select(\"rect.\"+f.itemRectClassName).call(a.fill,f.hoverColor)}function T(t,e){t.select(\"rect.\"+f.itemRectClassName).call(a.fill,e.bgcolor)}function k(t,e){var r=e._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},a=o.tester.selectAll(\"g.\"+f.dropdownButtonClassName).data(s.filterVisible(e.buttons));a.enter().append(\"g\").classed(f.dropdownButtonClassName,!0);var u=-1!==[\"up\",\"down\"].indexOf(e.direction);a.each((function(i,a){var s=n.select(this);s.call(m,e,i,t);var 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R=this.id,F=c-.5,B=C?f+P+.5:f+.5,N=h-.5,j=k?p+M+.5:p+.5,U=o._topdefs.selectAll(\"#\"+R).data(k||C?[0]:[]);if(U.exit().remove(),U.enter().append(\"clipPath\").attr(\"id\",R).append(\"rect\"),k||C?(this._clipRect=U.select(\"rect\").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(a.setClipUrl,R,this.gd),this.bg.attr({x:d,y:g,width:v,height:y})):(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),k||C){var V=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault()})).on(\"drag\",this._onBoxDrag.bind(this));this.container.on(\"wheel\",null).on(\"wheel\",this._onBoxWheel.bind(this)).on(\".drag\",null).call(V);var q=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault(),n.event.sourceEvent.stopPropagation()})).on(\"drag\",this._onBarDrag.bind(this));k&&this.hbar.on(\".drag\",null).call(q),C&&this.vbar.on(\".drag\",null).call(q)}this.setTranslate(e,r)},s.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(\".drag\",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(\".drag\",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)},s.prototype._onBoxDrag=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t-=n.event.dx),this.vbar&&(e-=n.event.dy),this.setTranslate(t,e)},s.prototype._onBoxWheel=function(){var 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s=r._toppaper.append(\"g\").classed(\"layer-above\",!0);r._imageUpperLayer=s.append(\"g\").classed(\"imagelayer\",!0),r._shapeUpperLayer=s.append(\"g\").classed(\"shapelayer\",!0),r._selectionLayer=r._toppaper.append(\"g\").classed(\"selectionlayer\",!0),r._infolayer=r._toppaper.append(\"g\").classed(\"infolayer\",!0),r._menulayer=r._toppaper.append(\"g\").classed(\"menulayer\",!0),r._zoomlayer=r._toppaper.append(\"g\").classed(\"zoomlayer\",!0),r._hoverlayer=r._hoverpaper.append(\"g\").classed(\"hoverlayer\",!0),r._modebardiv.classed(\"modebar-container\",!0).style(\"position\",\"absolute\").style(\"top\",\"0px\").style(\"right\",\"0px\"),t.emit(\"plotly_framework\")}(t),d._shouldCreateBgLayer&&delete d._shouldCreateBgLayer),g.initGradients(t),g.initPatterns(t),f&&p.saveShowSpikeInitial(t);var y=!t.calcdata||t.calcdata.length!==(t._fullData||[]).length;y&&h.doCalcdata(t);for(var 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s.syncOrAsync(i.map((function(e){return function(){if(e){var n=H.getFromId(t,e);r||(r={}),r.axShifts=o,r.overlayingShiftedAx=a;var i=H.drawOne(t,n,r);return n._shiftPusher&&Bt(n,n._fullDepth||0,o,!0),n._r=n.range.slice(),n._rl=s.simpleMap(n._r,n.r2l),i}}})))},H.drawOne=function(t,e,r){var n,i,l,u=(r=r||{}).axShifts||{},p=r.overlayingShiftedAx||[];e.setScale();var d=t._fullLayout,v=e._id,g=v.charAt(0),y=H.counterLetter(v),m=d._plots[e._mainSubplot];if(m){if(e._shiftPusher=e.autoshift||-1!==p.indexOf(e._id)||-1!==p.indexOf(e.overlaying),e._shiftPusher&\"free\"===e.anchor){var x=e.linewidth/2||0;\"inside\"===e.ticks&&(x+=e.ticklen),Bt(e,x,u,!0),Bt(e,e.shift||0,u,!1)}!0===r.skipTitle&&void 0!==e._shift||(e._shift=function(t,e){return t.autoshift?e[t.overlaying][t.side]:t.shift||0}(e,u));var 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w=e._offset-r.top;w>0&&(n.yt=1,n.t=w)}n[y]=\"free\"===e.anchor?e.position:e._anchorAxis.domain[v[0]],e.title.text!==d._dfltTitle[g]&&(n[l]+=At(e)+(e.title.standoff||0)),e.mirror&&\"free\"!==e.anchor&&((i={x:0,y:0,r:0,l:0,t:0,b:0})[u]=e.linewidth,e.mirror&&!0!==e.mirror&&(i[u]+=f),!0===e.mirror||\"ticks\"===e.mirror?i[y]=e._anchorAxis.domain[v[1]]:\"all\"!==e.mirror&&\"allticks\"!==e.mirror||(i[y]=[e._counterDomainMin,e._counterDomainMax][v[1]]))}lt&&(s=o.getComponentMethod(\"rangeslider\",\"autoMarginOpts\")(t,e)),\"string\"==typeof e.automargin&&(_t(n,e.automargin),_t(i,e.automargin)),a.autoMargin(t,Et(e),n),a.autoMargin(t,Lt(e),i),a.autoMargin(t,Ct(e),s)})),s.syncOrAsync(ot)}}function ut(t){var r=v+(t||\"tick\");return M[r]||(M[r]=function(t,e){var r,n,i,a;return t._selections[e].size()?(r=1/0,n=-1/0,i=1/0,a=-1/0,t._selections[e].each((function(){var 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o=f.length,l=Math.abs((f[o-1].x-f[0].x)*e._m)/(o-1),c=e.ticklabelposition||\"\",p=function(t){return-1!==c.indexOf(t)},v=p(\"top\"),y=p(\"left\"),b=p(\"right\"),_=p(\"bottom\")||y||v||b?(e.tickwidth||0)+6:0,w=l,T=1.25*n*a,k=w/Math.sqrt(Math.pow(w,2)+Math.pow(T,2)),A=e.autotickangles.map((function(t){return t*Math.PI/180})),M=A.find((function(t){return Math.abs(Math.cos(t))<=k}));void 0===M&&(M=A.reduce((function(t,e){return Math.abs(Math.cos(t))<Math.abs(Math.cos(e))?t:e}),A[0]));var S=M*(180/Math.PI);for(t=0;t<i.length-1;t++)if(s.bBoxIntersect(i[t],i[t+1],_)){x=S;break}}else{var E=2;for(e.ticks&&(E+=e.tickwidth/2),t=0;t<i.length;t++){var L=f&&f[t].xbnd?f[t].xbnd:[null,null],C=i[t];if(null!==L[0]&&C.left-e.l2p(L[0])<E||null!==L[1]&&e.l2p(L[1])-C.right<E){x=90;break}}}x&&m(g,x)}})),e._tickAngles&&b.push((function(){e._tickAngles[c]=null===x?i(d)?d:0:x}));var _=function(){var t=0,r=0;return g.each((function(n,i){var 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n[0]*n[1]<=0&&e.zeroline&&(\"linear\"===e.type||\"-\"===e.type)&&!(e.rangebreaks&&e.maskBreaks(0)===O)&&(Mt(e,0)||!function(t,e,r,n){var i=r._mainAxis;if(i){var a=t._fullLayout,o=e._id.charAt(0),s=H.counterLetter(e._id),l=e._offset+(Math.abs(n[0])<Math.abs(n[1])==(\"x\"===o)?0:e._length),u=a._plots[r._mainSubplot];if(!(u.mainplotinfo||u).overlays.length)return p(r);for(var c=H.list(t,s),f=0;f<c.length;f++){var h=c[f];if(h._mainAxis===i&&p(h))return!0}}function p(t){if(!t.showline||!t.linewidth)return!1;var r=Math.max((t.linewidth+e.zerolinewidth)/2,1);function n(t){return\"number\"==typeof t&&Math.abs(t-l)<r}if(n(t._mainLinePosition)||n(t._mainMirrorPosition))return!0;var i=t._linepositions||{};for(var a in i)if(n(i[a][0])||n(i[a][1]))return!0}}(t,e,r,n)||function(t,e){for(var r=t._fullData,n=e._mainSubplot,i=e._id.charAt(0),a=0;a<r.length;a++){var 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r=t.length,n=0;n<r;n++)if(c(t[n],e))return!0;return!1}(i,g)?\"linear\":\"-\"}},28336:function(t,e,r){\"use strict\";var n=r(38248),i=r(24040),a=r(3400),o=r(31780),s=r(51272),l=r(94724),u=r(26332),c=r(25404),f=r(95936),h=r(42568),p=r(22416),d=r(42136),v=r(96312),g=r(78344),y=r(33816).WEEKDAY_PATTERN,m=r(33816).HOUR_PATTERN;function x(t,e,r){function i(r,n){return a.coerce(t,e,l.rangebreaks,r,n)}if(i(\"enabled\")){var o=i(\"bounds\");if(o&&o.length>=2){var s,u,c=\"\";if(2===o.length)for(s=0;s<2;s++)if(u=_(o[s])){c=y;break}var f=i(\"pattern\",c);if(f===y)for(s=0;s<2;s++)(u=_(o[s]))&&(e.bounds[s]=o[s]=u-1);if(f)for(s=0;s<2;s++)switch(u=o[s],f){case y:if(!n(u))return void(e.enabled=!1);if((u=+u)!==Math.floor(u)||u<0||u>=7)return void(e.enabled=!1);e.bounds[s]=o[s]=u;break;case m:if(!n(u))return void(e.enabled=!1);if((u=+u)<0||u>24)return void(e.enabled=!1);e.bounds[s]=o[s]=u}if(!1===r.autorange){var h=r.range;if(h[0]<h[1]){if(o[0]<h[0]&&o[1]>h[1])return void(e.enabled=!1)}else if(o[0]>h[0]&&o[1]<h[1])return void(e.enabled=!1)}}else{var p=i(\"values\");if(!p||!p.length)return void(e.enabled=!1);i(\"dvalue\")}}}t.exports=function(t,e,r,n,m){var b,_=n.letter,w=n.font||{},T=n.splomStash||{},k=r(\"visible\",!n.visibleDflt),A=e._template||{},M=e.type||A.type||\"-\";\"date\"===M&&(i.getComponentMethod(\"calendars\",\"handleDefaults\")(t,e,\"calendar\",n.calendar),n.noTicklabelmode||(b=r(\"ticklabelmode\")));var S=\"\";n.noTicklabelposition&&\"multicategory\"!==M||(S=a.coerce(t,e,{ticklabelposition:{valType:\"enumerated\",dflt:\"outside\",values:\"period\"===b?[\"outside\",\"inside\"]:\"x\"===_?[\"outside\",\"inside\",\"outside left\",\"inside left\",\"outside right\",\"inside right\"]:[\"outside\",\"inside\",\"outside top\",\"inside top\",\"outside bottom\",\"inside bottom\"]}},\"ticklabelposition\")),n.noTicklabeloverflow||r(\"ticklabeloverflow\",-1!==S.indexOf(\"inside\")?\"hide past domain\":\"category\"===M||\"multicategory\"===M?\"allow\":\"hide past 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z=0;z<e.rangebreaks.length;z++)if(e.rangebreaks[z].pattern===y){e._hasDayOfWeekBreaks=!0;break}if(g(e,m),m._has(\"scattergl\")||m._has(\"splom\"))for(var R=0;R<n.data.length;R++){var F=n.data[R];\"scattergl\"!==F.type&&\"splom\"!==F.type||(F.visible=!1,a.warn(F.type+\" traces do not work on axes with rangebreaks. 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s=t._fullLayout;ut=s._has(\"scattergl\"),ct=s._has(\"splom\"),ft=s._has(\"svg\")}r+=e.yaxis._shift,mt();var xt=function(t,e,r){return t?\"nsew\"===t?r?\"\":\"pan\"===e?\"move\":\"crosshair\":t.toLowerCase()+\"-resize\":\"pointer\"}(at+it,t._fullLayout.dragmode,gt),bt=D(e,v+y+\"drag\",xt,r,s,u,f);if(ot&&!gt)return bt.onmousedown=null,bt.style.pointerEvents=\"none\",bt;var _t,wt,Tt,kt,At,Mt,St,Et,Lt,Ct,Pt={element:bt,gd:t,plotinfo:e};function Ot(){Pt.plotinfo.selection=!1,M(t)}function It(t,r){var i=Pt.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var o=i._fullLayout.clickmode;if(q(i),2!==t||yt||Ht(),gt)o.indexOf(\"select\")>-1&&S(r,i,K,J,e.id,Pt),o.indexOf(\"event\")>-1&&p.click(i,r,e.id);else if(1===t&&yt){var s=v?I:O,u=\"s\"===v||\"w\"===y?0:1,f=s._name+\".range[\"+u+\"]\",h=function(t,e){var r,n=t.range[e],i=Math.abs(n-t.range[1-e]);return\"date\"===t.type?n:\"log\"===t.type?(r=Math.ceil(Math.max(0,-Math.log(i)/Math.LN10))+3,a(\".\"+r+\"g\")(Math.pow(10,n))):(r=Math.floor(Math.log(Math.abs(n))/Math.LN10)-Math.floor(Math.log(i)/Math.LN10)+4,a(\".\"+String(r)+\"g\")(n))}(s,u),d=\"left\",g=\"middle\";if(s.fixedrange)return;v?(g=\"n\"===v?\"top\":\"bottom\",\"right\"===s.side&&(d=\"right\")):\"e\"===y&&(d=\"right\"),i._context.showAxisRangeEntryBoxes&&n.select(bt).call(c.makeEditable,{gd:i,immediate:!0,background:i._fullLayout.paper_bgcolor,text:String(h),fill:s.tickfont?s.tickfont.color:\"#444\",horizontalAlign:d,verticalAlign:g}).on(\"edit\",(function(t){var e=s.d2r(t);void 0!==e&&l.call(\"_guiRelayout\",i,f,e)}))}}}function Dt(e,r){if(t._transitioningWithDuration)return!1;var n=Math.max(0,Math.min(tt,pt*e+_t)),i=Math.max(0,Math.min(et,dt*r+wt)),a=Math.abs(n-_t),o=Math.abs(i-wt);function s(){St=\"\",Tt.r=Tt.l,Tt.t=Tt.b,Lt.attr(\"d\",\"M0,0Z\")}if(Tt.l=Math.min(_t,n),Tt.r=Math.max(_t,n),Tt.t=Math.min(wt,i),Tt.b=Math.max(wt,i),rt.isSubplotConstrained)a>P||o>P?(St=\"xy\",a/tt>o/et?(o=a*et/tt,wt>i?Tt.t=wt-o:Tt.b=wt+o):(a=o*tt/et,_t>n?Tt.l=_t-a:Tt.r=_t+a),Lt.attr(\"d\",G(Tt))):s();else if(nt.isSubplotConstrained)if(a>P||o>P){St=\"xy\";var l=Math.min(Tt.l/tt,(et-Tt.b)/et),u=Math.max(Tt.r/tt,(et-Tt.t)/et);Tt.l=l*tt,Tt.r=u*tt,Tt.b=(1-l)*et,Tt.t=(1-u)*et,Lt.attr(\"d\",G(Tt))}else s();else!at||o<Math.min(Math.max(.6*a,C),P)?a<C||!it?s():(Tt.t=0,Tt.b=et,St=\"x\",Lt.attr(\"d\",function(t,e){return\"M\"+(t.l-.5)+\",\"+(e-P-.5)+\"h-3v\"+(2*P+1)+\"h3ZM\"+(t.r+.5)+\",\"+(e-P-.5)+\"h3v\"+(2*P+1)+\"h-3Z\"}(Tt,wt))):!it||a<Math.min(.6*o,P)?(Tt.l=0,Tt.r=tt,St=\"y\",Lt.attr(\"d\",function(t,e){return\"M\"+(e-P-.5)+\",\"+(t.t-.5)+\"v-3h\"+(2*P+1)+\"v3ZM\"+(e-P-.5)+\",\"+(t.b+.5)+\"v3h\"+(2*P+1)+\"v-3Z\"}(Tt,_t))):(St=\"xy\",Lt.attr(\"d\",G(Tt)));Tt.w=Tt.r-Tt.l,Tt.h=Tt.b-Tt.t,St&&(Ct=!0),t._dragged=Ct,U(Et,Lt,Tt,At,Mt,kt),zt(),t.emit(\"plotly_relayouting\",ht),Mt=!0}function zt(){ht={},\"xy\"!==St&&\"x\"!==St||(R(K,Tt.l/tt,Tt.r/tt,ht,rt.xaxes),Vt(\"x\",ht)),\"xy\"!==St&&\"y\"!==St||(R(J,(et-Tt.b)/et,(et-Tt.t)/et,ht,rt.yaxes),Vt(\"y\",ht))}function Rt(){zt(),q(t),Gt(),H(t)}Pt.prepFn=function(e,r,n){var a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.dragmode=s),mt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?\"pan\"===s?s=\"zoom\":m(s)||(s=\"pan\"):e.ctrlKey&&(s=\"pan\"):s=\"pan\"),x(s)?Pt.minDrag=1:Pt.minDrag=void 0,m(s)?(Pt.xaxes=K,Pt.yaxes=J,A(e,r,n,Pt,s)):(Pt.clickFn=It,m(a)&&Ot(),ot||(\"zoom\"===s?(Pt.moveFn=Dt,Pt.doneFn=Rt,Pt.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},kt=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St=\"xy\",Ct=!1,Et=N(vt,kt,$,Q,At=\"M0,0H\"+tt+\"V\"+et+\"H0V0\"),Lt=j(vt,$,Q)}(0,r,n)):\"pan\"===s&&(Pt.moveFn=Ut,Pt.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;m(r)||(mt(),Wt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var Ft=[0,0,tt,et],Bt=null,Nt=L.REDRAWDELAY,jt=e.mainplot?t._fullLayout._plots[e.mainplot]:e;function Ut(e,r){if(e*=pt,r*=dt,!t._transitioningWithDuration){if(t._fullLayout._replotting=!0,\"ew\"===it||\"ns\"===at){var n=it?-e:0,i=at?-r:0;if(nt.isSubplotConstrained){if(it&&at){var a=(e/tt-r/et)/2;n=-(e=a*tt),i=-(r=-a*et)}at?n=-i*tt/et:i=-n*et/tt}return it&&(F(K,e),Vt(\"x\")),at&&(F(J,r),Vt(\"y\")),Wt([n,i,tt,et]),qt(),void t.emit(\"plotly_relayouting\",ht)}var o,s,l=\"w\"===it==(\"n\"===at)?1:-1;if(it&&at&&(rt.isSubplotConstrained||nt.isSubplotConstrained)){var u=(e/tt+l*r/et)/2;e=u*tt,r=l*u*et}if(\"w\"===it?e=p(K,0,e):\"e\"===it?e=p(K,1,-e):it||(e=0),\"n\"===at?r=p(J,1,r):\"s\"===at?r=p(J,0,-r):at||(r=0),o=\"w\"===it?e:0,s=\"n\"===at?r:0,rt.isSubplotConstrained&&!nt.isSubplotConstrained||nt.isSubplotConstrained&&it&&at&&l>0){var c;if(nt.isSubplotConstrained||!it&&1===at.length){for(c=0;c<K.length;c++)K[c].range=K[c]._r.slice(),E(K[c],1-r/et);o=(e=r*tt/et)/2}if(nt.isSubplotConstrained||!at&&1===it.length){for(c=0;c<J.length;c++)J[c].range=J[c]._r.slice(),E(J[c],1-e/tt);s=(r=e*et/tt)/2}}nt.isSubplotConstrained&&at||Vt(\"x\"),nt.isSubplotConstrained&&it||Vt(\"y\");var f=tt-e,h=et-r;!nt.isSubplotConstrained||it&&at||(it?(s=o?0:e*et/tt,h=f*et/tt):(o=s?0:r*tt/et,f=h*tt/et)),Wt([o,s,f,h]),qt(),t.emit(\"plotly_relayouting\",ht)}function p(t,e,r){for(var n,i,a=1-e,o=0;o<t.length;o++){var s=t[o];if(!s.fixedrange){n=s,i=s._rl[a]+(s._rl[e]-s._rl[a])/B(r/s._length);var l=s.l2r(i);!1!==l&&void 0!==l&&(s.range[e]=l)}}return n._length*(n._rl[e]-i)/(n._rl[e]-n._rl[a])}}function Vt(t,e){for(var r=nt.isSubplotConstrained?{x:J,y:K}[t]:nt[t+\"axes\"],n=nt.isSubplotConstrained?{x:K,y:J}[t]:[],i=0;i<r.length;i++){var a=r[i],o=a._id,s=nt.xLinks[o]||nt.yLinks[o],l=n[0]||V[s]||Z[s];l&&(e?(e[a._name+\".range[0]\"]=e[l._name+\".range[0]\"],e[a._name+\".range[1]\"]=e[l._name+\".range[1]\"]):a.range=l.range.slice())}}function qt(){var r,n=[];function i(t){for(r=0;r<t.length;r++)t[r].fixedrange||n.push(t[r]._id)}function a(t,e){for(r=0;r<t.length;r++){var i=t[r],a=i[e];i.fixedrange||\"sync\"!==a.tickmode||n.push(a._id)}}for(st&&(i(K),i(rt.xaxes),i(nt.xaxes),a(e.overlays,\"xaxis\")),lt&&(i(J),i(rt.yaxes),i(nt.yaxes),a(e.overlays,\"yaxis\")),ht={},r=0;r<n.length;r++){var o=n[r],s=k(t,o);d.drawOne(t,s,{skipTitle:!0}),ht[s._name+\".range[0]\"]=s.range[0],ht[s._name+\".range[1]\"]=s.range[1]}d.redrawComponents(t,n)}function Ht(){if(!t._transitioningWithDuration){var e=t._context.doubleClick,r=[];it&&(r=r.concat(K)),at&&(r=r.concat(J)),nt.xaxes&&(r=r.concat(nt.xaxes)),nt.yaxes&&(r=r.concat(nt.yaxes));var n,i,a={};if(\"reset+autosize\"===e)for(e=\"autosize\",i=0;i<r.length;i++){var o=(n=r[i])._rangeInitial0,s=n._rangeInitial1,u=void 0!==o||void 0!==s;if(u&&(void 0!==o&&o!==n.range[0]||void 0!==s&&s!==n.range[1])||!u&&!0!==n.autorange){e=\"reset\";break}}if(\"autosize\"===e)for(i=0;i<r.length;i++)(n=r[i]).fixedrange||(a[n._name+\".autorange\"]=!0);else if(\"reset\"===e)for((it||rt.isSubplotConstrained)&&(r=r.concat(rt.xaxes)),at&&!rt.isSubplotConstrained&&(r=r.concat(rt.yaxes)),rt.isSubplotConstrained&&(it?at||(r=r.concat(J)):r=r.concat(K)),i=0;i<r.length;i++)if(!(n=r[i]).fixedrange){var c=n._name,f=n._autorangeInitial;void 0===n._rangeInitial0&&void 0===n._rangeInitial1?a[c+\".autorange\"]=!0:void 0===n._rangeInitial0?(a[c+\".autorange\"]=f,a[c+\".range\"]=[null,n._rangeInitial1]):void 0===n._rangeInitial1?(a[c+\".range\"]=[n._rangeInitial0,null],a[c+\".autorange\"]=f):a[c+\".range\"]=[n._rangeInitial0,n._rangeInitial1]}t.emit(\"plotly_doubleclick\",null),l.call(\"_guiRelayout\",t,a)}}function Gt(){Wt([0,0,tt,et]),i.syncOrAsync([T.previousPromises,function(){t._fullLayout._replotting=!1,l.call(\"_guiRelayout\",t,ht)}],t)}function Wt(e){var r,n,a,o,s=t._fullLayout,u=s._plots,c=s._subplots.cartesian;if(ct&&l.subplotsRegistry.splom.drag(t),ut)for(r=0;r<c.length;r++)if(a=(n=u[c[r]]).xaxis,o=n.yaxis,n._scene){var f=i.simpleMap(a.range,a.r2l),p=i.simpleMap(o.range,o.r2l);a.limitRange&&a.limitRange(),o.limitRange&&o.limitRange(),f=a.range,p=o.range,n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ct||ut)&&(_(t),w(t)),ft){var d=e[2]/O._length,g=e[3]/I._length;for(r=0;r<c.length;r++){a=(n=u[c[r]]).xaxis,o=n.yaxis;var m,x,b,T,k=(st||nt.isSubplotConstrained)&&!a.fixedrange&&V[a._id],A=(lt||nt.isSubplotConstrained)&&!o.fixedrange&&Z[o._id];if(k?(m=d,b=y||nt.isSubplotConstrained?e[0]:Zt(a,m)):nt.xaHash[a._id]?(m=d,b=e[0]*a._length/O._length):nt.yaHash[a._id]?(m=g,b=\"ns\"===at?-e[1]*a._length/I._length:Zt(a,m,{n:\"top\",s:\"bottom\"}[at])):b=Xt(a,m=Yt(a,d,g)),m>1&&(void 0!==a.maxallowed&&st===(a.range[0]<a.range[1]?\"e\":\"w\")||void 0!==a.minallowed&&st===(a.range[0]<a.range[1]?\"w\":\"e\"))&&(m=1,b=0),A?(x=g,T=v||nt.isSubplotConstrained?e[1]:Zt(o,x)):nt.yaHash[o._id]?(x=g,T=e[1]*o._length/I._length):nt.xaHash[o._id]?(x=d,T=\"ew\"===it?-e[0]*o._length/O._length:Zt(o,x,{e:\"right\",w:\"left\"}[it])):T=Xt(o,x=Yt(o,d,g)),x>1&&(void 0!==o.maxallowed&&lt===(o.range[0]<o.range[1]?\"n\":\"s\")||void 0!==o.minallowed&&lt===(o.range[0]<o.range[1]?\"s\":\"n\"))&&(x=1,T=0),m||x){m||(m=1),x||(x=1);var M=a._offset-b/m,S=o._offset-T/x;n.clipRect.call(h.setTranslate,b,T).call(h.setScale,m,x),n.plot.call(h.setTranslate,M,S).call(h.setScale,1/m,1/x),m===n.xScaleFactor&&x===n.yScaleFactor||(h.setPointGroupScale(n.zoomScalePts,m,x),h.setTextPointsScale(n.zoomScaleTxt,m,x)),h.hideOutsideRangePoints(n.clipOnAxisFalseTraces,n),n.xScaleFactor=m,n.yScaleFactor=x}}}}function Yt(t,e,r){return t.fixedrange?0:st&&rt.xaHash[t._id]?e:lt&&(rt.isSubplotConstrained?rt.xaHash:rt.yaHash)[t._id]?r:0}function Xt(t,e){return e?(t.range=t._r.slice(),E(t,e),Zt(t,e)):0}function Zt(t,e,r){return t._length*(1-e)*b[r||t.constraintoward||\"middle\"]}return v.length*y.length!=1&&Y(bt,(function(e){if(t._context._scrollZoom.cartesian||t._fullLayout._enablescrollzoom){if(Ot(),t._transitioningWithDuration)return e.preventDefault(),void e.stopPropagation();mt(),clearTimeout(Bt);var r=-e.deltaY;if(isFinite(r)||(r=e.wheelDelta/10),isFinite(r)){var n,a=Math.exp(-Math.min(Math.max(r,-20),20)/200),o=jt.draglayer.select(\".nsewdrag\").node().getBoundingClientRect(),s=(e.clientX-o.left)/o.width,l=(o.bottom-e.clientY)/o.height;if(st){for(y||(s=.5),n=0;n<K.length;n++)u(K[n],s,a);Vt(\"x\"),Ft[2]*=a,Ft[0]+=Ft[2]*s*(1/a-1)}if(lt){for(v||(l=.5),n=0;n<J.length;n++)u(J[n],l,a);Vt(\"y\"),Ft[3]*=a,Ft[1]+=Ft[3]*(1-l)*(1/a-1)}Wt(Ft),qt(),t.emit(\"plotly_relayouting\",ht),Bt=setTimeout((function(){t._fullLayout&&(Ft=[0,0,tt,et],Gt())}),Nt),e.preventDefault()}else i.log(\"Did not find wheel motion attributes: \",e)}function u(t,e,r){if(!t.fixedrange){var n=i.simpleMap(t.range,t.r2l),a=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return t.l2r(a+(e-a)*r)}))}}})),bt},makeDragger:I,makeRectDragger:D,makeZoombox:N,makeCorners:j,updateZoombox:U,xyCorners:G,transitionZoombox:V,removeZoombox:q,showDoubleClickNotifier:H,attachWheelEventHandler:Y}},42464:function(t,e,r){\"use strict\";var n=r(33428),i=r(93024),a=r(86476),o=r(93972),s=r(51184).makeDragBox,l=r(33816).DRAGGERSIZE;e.initInteractions=function(t){var r=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(\".drag\").remove();else if(r._has(\"cartesian\")||r._has(\"splom\")){Object.keys(r._plots||{}).sort((function(t,e){if((r._plots[t].mainplot&&!0)===(r._plots[e].mainplot&&!0)){var n=t.split(\"y\"),i=e.split(\"y\");return n[0]===i[0]?Number(n[1]||1)-Number(i[1]||1):Number(n[0]||1)-Number(i[0]||1)}return r._plots[t].mainplot?1:-1})).forEach((function(e){var n=r._plots[e],o=n.xaxis,u=n.yaxis;if(!n.mainplot){var 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f=0;f<t.length;f++)a=t[f],\"gl2d\"===e&&n.traceIs(a,\"gl2d\")?a[l[0]]===o&&a[l[1]]===s&&u.push(a):a[l]===r&&u.push(a);return u}},2428:function(t,e,r){\"use strict\";var n=r(62644),i=r(97264),a=r(29128),o=r(33816),s=r(89184);function l(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]}t.exports=function(t){var e=t.mouseContainer,r=t.glplot,u=new l(e,r);function c(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function f(e,n,i){var a,s,l=t.calcDataBox(),f=r.viewBox,h=u.lastPos[0],p=u.lastPos[1],d=o.MINDRAG*r.pixelRatio,v=o.MINZOOM*r.pixelRatio;function g(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,u.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case\"zoom\":if(e){var y=n/(f[2]-f[0])*(l[2]-l[0])+l[0],m=i/(f[3]-f[1])*(l[3]-l[1])+l[1];u.boxInited||(u.boxStart[0]=y,u.boxStart[1]=m,u.dragStart[0]=n,u.dragStart[1]=i),u.boxEnd[0]=y,u.boxEnd[1]=m,u.boxInited=!0,u.boxEnabled||u.boxStart[0]===u.boxEnd[0]&&u.boxStart[1]===u.boxEnd[1]||(u.boxEnabled=!0);var x=Math.abs(u.dragStart[0]-n)<v,b=Math.abs(u.dragStart[1]-i)<v;if(!function(){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}()||x&&b)x&&(u.boxEnd[0]=u.boxStart[0]),b&&(u.boxEnd[1]=u.boxStart[1]);else{a=u.boxEnd[0]-u.boxStart[0],s=u.boxEnd[1]-u.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(u.boxEnd[1]=u.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),u.boxEnd[1]<l[1]?(u.boxEnd[1]=l[1],u.boxEnd[0]=u.boxStart[0]+(l[1]-u.boxStart[1])/Math.abs(_)):u.boxEnd[1]>l[3]&&(u.boxEnd[1]=l[3],u.boxEnd[0]=u.boxStart[0]+(l[3]-u.boxStart[1])/Math.abs(_))):(u.boxEnd[0]=u.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),u.boxEnd[0]<l[0]?(u.boxEnd[0]=l[0],u.boxEnd[1]=u.boxStart[1]+(l[0]-u.boxStart[0])*Math.abs(_)):u.boxEnd[0]>l[2]&&(u.boxEnd[0]=l[2],u.boxEnd[1]=u.boxStart[1]+(l[2]-u.boxStart[0])*Math.abs(_)))}}else u.boxEnabled?(a=u.boxStart[0]!==u.boxEnd[0],s=u.boxStart[1]!==u.boxEnd[1],a||s?(a&&(g(0,u.boxStart[0],u.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,u.boxStart[1],u.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),u.boxEnabled=!1,u.boxInited=!1):u.boxInited&&(u.boxInited=!1);break;case\"pan\":u.boxEnabled=!1,u.boxInited=!1,e?(u.panning||(u.dragStart[0]=n,u.dragStart[1]=i),Math.abs(u.dragStart[0]-n)<d&&(n=u.dragStart[0]),Math.abs(u.dragStart[1]-i)<d&&(i=u.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),u.panning=!0,u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations()):u.panning&&(u.panning=!1,t.relayoutCallback())}u.lastPos[0]=n,u.lastPos[1]=i}return u.mouseListener=n(e,f),e.addEventListener(\"touchstart\",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){f(0,u.lastPos[0],u.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),u.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=u.lastPos[0],s=u.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),u}},92568:function(t,e,r){\"use strict\";var n=r(54460),i=r(43080);function a(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}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,u,c,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;u=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!u,l=this.hasAxisInAltrPos(e,r)&&!u,a=r.mirror||!1,c=u?-1!==String(a).indexOf(\"all\"):!!a,f=u?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||c)&&(this.borderLineEnable[h]=r.showline),(l||c)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=1.5,n=e.title.font.size,i=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},t.exports=function(t){return new a(t)}},39952:function(t,e,r){\"use strict\";var n=r(67824).overrideAll,i=r(17188),a=r(64859),o=r(9616),s=r(33816),l=r(57952),u=r(65460),c=r(84888).op;e.name=\"gl2d\",e.attr=[\"xaxis\",\"yaxis\"],e.idRoot=[\"x\",\"y\"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(26720),e.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:u.hoverlabel},\"plot\",\"nested\"),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=c(r,\"gl2d\",o),u=s._scene2d;void 0===u&&(u=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=u),u.plot(l,t.calcdata,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];s._scene2d&&0===c(t,\"gl2d\",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++)e._plots[r[n]]._scene2d.updateFx(e.dragmode)}},17188:function(t,e,r){\"use strict\";var n,i,a=r(24040),o=r(54460),s=r(93024),l=r(67792).gl_plot2d,u=r(67792).gl_spikes2d,c=r(67792).gl_select_box,f=r(5408),h=r(92568),p=r(2428),d=r(16576),v=r(71888),g=v.enforce,y=v.clean,m=r(19280).doAutoRange,x=r(72760),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=r(33816).SUBPLOT_PATTERN;function k(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.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=u(this.glplot),this.selectBox=c(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);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);var a=this.svgContainer=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\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.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),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var u=n[r._name];u.range=s,u.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(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})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.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&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.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.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}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),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:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,u,c=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[c.l+f[0]*c.w,c.b+h[0]*c.h,i-c.r-(1-f[1])*c.w,a-c.t-(1-h[1])*c.h],this.mouseContainer.style.width=c.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=c.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=c.h*(h[1]-h[0]),this.mouseContainer.style.left=c.l+f[0]*c.w+\"px\",this.mouseContainer.style.top=c.t+(1-h[1])*c.h+\"px\",u=0;u<2;++u)(l=this[w[u]])._length=o.viewBox[u+2]-o.viewBox[u],m(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.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])]},A.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])]},A.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]).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}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.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};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.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,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var u=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]&&(u[c]=t.dataBox[c],u[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var v=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),v.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(d,\"plotly_hover\");var g=this.fullData[v.trace.index]||{},y=v.pointIndex,m=s.castHoverinfo(g,i,y);if(m&&\"all\"!==m){var x=m.split(\"+\");-1===x.indexOf(\"x\")&&(v.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(v.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(v.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(v.textLabel=void 0),-1===x.indexOf(\"name\")&&(v.name=void 0)}s.loneHover({x:v.screenCoord[0],y:v.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",v.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",v.traceCoord[1]),zLabel:v.traceCoord[2],text:v.textLabel,name:v.name,color:s.castHoverOption(g,y,\"bgcolor\")||v.color,borderColor:s.castHoverOption(g,y,\"bordercolor\"),fontFamily:s.castHoverOption(g,y,\"font.family\"),fontSize:s.castHoverOption(g,y,\"font.size\"),fontColor:s.castHoverOption(g,y,\"font.color\"),nameLength:s.castHoverOption(g,y,\"namelength\"),textAlign:s.castHoverOption(g,y,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},12536:function(t,e,r){\"use strict\";var n=r(67824).overrideAll,i=r(65460),a=r(98432),o=r(84888).op,s=r(3400),l=r(9616),u=\"gl3d\",c=\"scene\";e.name=u,e.attr=c,e.idRoot=c,e.idRegex=e.attrRegex=s.counterRegex(\"scene\"),e.attributes=r(6636),e.layoutAttributes=r(346),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),e.supplyLayoutDefaults=r(5208),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots[u],i=0;i<n.length;i++){var s=n[i],l=o(r,u,s),c=e[s],f=c.camera,h=c._scene;h||(h=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:f},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:f.up.x,y:f.up.y,z:f.up.z},eye:{x:f.eye.x,y:f.eye.y,z:f.eye.z},center:{x:f.center.x,y:f.center.y,z:f.center.z}}),h.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots[u]||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),c+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},6636:function(t){\"use strict\";t.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},86140:function(t,e,r){\"use strict\";var n=r(76308),i=r(94724),a=r(92880).extendFlat,o=r(67824).overrideAll;t.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:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,autorangeoptions:{minallowed:i.autorangeoptions.minallowed,maxallowed:i.autorangeoptions.maxallowed,clipmin:i.autorangeoptions.clipmin,clipmax:i.autorangeoptions.clipmax,include:i.autorangeoptions.include,editType:\"plot\"},rangemode:i.rangemode,minallowed:i.minallowed,maxallowed:i.maxallowed,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.minor.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,labelalias:i.labelalias,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,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,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},64380:function(t,e,r){\"use strict\";var n=r(49760).mix,i=r(3400),a=r(31780),o=r(86140),s=r(14944),l=r(28336),u=[\"xaxis\",\"yaxis\",\"zaxis\"];t.exports=function(t,e,r){var c,f;function h(t,e){return i.coerce(c,f,o,t,e)}for(var p=0;p<u.length;p++){var d=u[p];c=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(c,f,h,r),l(c,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noAutotickangles:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,72.72727272727273).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},44728:function(t,e,r){\"use strict\";var n=r(43080),i=r(3400),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=this,o=0;o<3;++o){var s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,\"font\"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size)),\"showline\"in s&&(r.lineEnable[o]=s.showline),\"linecolor\"in s&&(r.lineColor[o]=n(s.linecolor)),\"linewidth\"in s&&(r.lineWidth[o]=s.linewidth),\"showgrid\"in s&&(r.gridEnable[o]=s.showgrid),\"gridcolor\"in s&&(r.gridColor[o]=n(s.gridcolor)),\"gridwidth\"in s&&(r.gridWidth[o]=s.gridwidth),\"log\"===s.type?r.zeroEnable[o]=!1:\"zeroline\"in s&&(r.zeroEnable[o]=s.zeroline),\"zerolinecolor\"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),\"zerolinewidth\"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),\"ticks\"in s&&s.ticks?r.lineTickEnable[o]=!0:r.lineTickEnable[o]=!1,\"ticklen\"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),\"tickcolor\"in s&&(r.lineTickColor[o]=n(s.tickcolor)),\"tickwidth\"in s&&(r.lineTickWidth[o]=s.tickwidth),\"tickangle\"in s&&(r.tickAngle[o]=\"auto\"===s.tickangle?-3600:Math.PI*-s.tickangle/180),\"showticklabels\"in s&&(r.tickEnable[o]=s.showticklabels),\"tickfont\"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size)),\"mirror\"in s?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(s.mirror)?(r.lineTickMirror[o]=!0,r.lineMirror[o]=!0):!0===s.mirror?(r.lineTickMirror[o]=!1,r.lineMirror[o]=!0):(r.lineTickMirror[o]=!1,r.lineMirror[o]=!1):r.lineMirror[o]=!1,\"showbackground\"in s&&!1!==s.showbackground?(r.backgroundEnable[o]=!0,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=!1):(r.tickEnable[o]=!1,r.labelEnable[o]=!1,r.lineEnable[o]=!1,r.lineTickEnable[o]=!1,r.gridEnable[o]=!1,r.zeroEnable[o]=!1,r.backgroundEnable[o]=!1)}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r}},5208:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(24040),o=r(168),s=r(64380),l=r(346),u=r(84888).op,c=\"gl3d\";function f(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),f=[\"up\",\"center\",\"eye\"],h=0;h<f.length;h++)r(\"camera.\"+f[h]+\".x\"),r(\"camera.\"+f[h]+\".y\"),r(\"camera.\"+f[h]+\".z\");r(\"camera.projection.type\");var p=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),d=r(\"aspectmode\",p?\"manual\":\"auto\");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var v=u(n.fullData,c,n.id);s(t,e,{font:n.font,scene:n.id,data:v,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var y=t.camera.up.x,m=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&m&&x?x/Math.sqrt(y*y+m*m+x*x)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:c,attributes:l,handleDefaults:f,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},346:function(t,e,r){\"use strict\";var n=r(86140),i=r(86968).u,a=r(92880).extendFlat,o=r(3400).counterRegex;function s(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\"}}t.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",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:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},9020:function(t,e,r){\"use strict\";var n=r(43080),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},87152:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if(\"auto\"===c.tickmode){c.tickmode=\"linear\";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[u],\"date\"===c.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[u]=p,c.tickmode=f}}for(e.ticks=l,u=0;u<3;++u)for(o[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]),d=0;d<2;++d)e.bounds[d][u]=t.glplot.bounds[d][u];t.contourLevels=function(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}(l)};var n=r(54460),i=r(3400),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},94424:function(t){\"use strict\";function e(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}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))}},98432:function(t,e,r){\"use strict\";var n,i,a=r(67792).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(5408),u=r(89184),c=r(24040),f=r(3400),h=f.preserveDrawingBuffer(),p=r(54460),d=r(93024),v=r(43080),g=r(16576),y=r(94424),m=r(44728),x=r(9020),b=r(87152),_=r(19280).applyAutorangeOptions,w=!1;function T(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,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=m(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=c.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=c.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var k=T.prototype;k.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");e.gl=i,e.canvas=n}return e};var A=!0;k.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!A||h)r=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){h=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return A=!1,r},k.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r=\"orthographic\"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},k.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"touchstart\",(function(){w=!0})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!u&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},k.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v<u.length;++v)\"skip\"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(h)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==c){var m=y(e.glplot.cameraParams,h.dataCoordinate);t=c.data;var x,_=r._fullData[t.index],T=h.index,k={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(_,e.fullLayout,T),M=(A||\"\").split(\"+\"),S=A&&\"all\"===A;_.hovertemplate||S||(-1===M.indexOf(\"x\")&&(k.xLabel=void 0),-1===M.indexOf(\"y\")&&(k.yLabel=void 0),-1===M.indexOf(\"z\")&&(k.zLabel=void 0),-1===M.indexOf(\"text\")&&(h.textLabel=void 0),-1===M.indexOf(\"name\")&&(c.name=void 0));var E=[];\"cone\"===t.type||\"streamtube\"===t.type?(k.uLabel=g(\"x\",h.traceCoordinate[3],t.uhoverformat),(S||-1!==M.indexOf(\"u\"))&&E.push(\"u: \"+k.uLabel),k.vLabel=g(\"y\",h.traceCoordinate[4],t.vhoverformat),(S||-1!==M.indexOf(\"v\"))&&E.push(\"v: \"+k.vLabel),k.wLabel=g(\"z\",h.traceCoordinate[5],t.whoverformat),(S||-1!==M.indexOf(\"w\"))&&E.push(\"w: \"+k.wLabel),k.normLabel=h.traceCoordinate[6].toPrecision(3),(S||-1!==M.indexOf(\"norm\"))&&E.push(\"norm: \"+k.normLabel),\"streamtube\"===t.type&&(k.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(S||-1!==M.indexOf(\"divergence\"))&&E.push(\"divergence: \"+k.divergenceLabel)),h.textLabel&&E.push(h.textLabel),x=E.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(k.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),E.push(\"value: \"+k.valueLabel),h.textLabel&&E.push(h.textLabel),x=E.join(\"<br>\")):x=h.textLabel;var L={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:T};d.appendArrayPointValue(L,_,T),t._module.eventData&&(L=_._module.eventData(L,h,_,{},T));var C={points:[L]};if(e.fullSceneLayout.hovermode){var P=[];d.loneHover({trace:_,x:(.5+.5*m[0]/m[3])*s,y:(.5-.5*m[1]/m[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:x,name:c.name,color:d.castHoverOption(_,T,\"bgcolor\")||c.color,borderColor:d.castHoverOption(_,T,\"bordercolor\"),fontFamily:d.castHoverOption(_,T,\"font.family\"),fontSize:d.castHoverOption(_,T,\"font.size\"),fontColor:d.castHoverOption(_,T,\"font.color\"),nameLength:d.castHoverOption(_,T,\"namelength\"),textAlign:d.castHoverOption(_,T,\"align\"),hovertemplate:f.castOption(_,T,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},L,k),eventData:[L]},{container:n,gd:r,inOut_bbox:P}),L.bbox=P[0]}h.distance<5&&(h.buttons||w)?r.emit(\"plotly_click\",C):r.emit(\"plotly_hover\",C),this.oldEventData=C}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},k.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var M=[\"xaxis\",\"yaxis\",\"zaxis\"];function S(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=M[i],o=a.charAt(0),s=n[a],l=e[o],u=e[o+\"calendar\"],c=e[\"_\"+o+\"length\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(c||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,u),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,u),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],c-1)}}k.plot=function(t,e,r){var n=this;if(n.plotArgs=[t,e,r],!n.glplot.contextLost){var i,a,o,s,l,u,c=e[n.id],f=r[n.id];n.fullLayout=e,n.fullSceneLayout=c,n.axesOptions.merge(e,c),n.spikeOptions.merge(c),n.setViewport(c),n.updateFx(c.dragmode,c.hovermode),n.camera.enableWheel=n.graphDiv._context._scrollZoom.gl3d,n.glplot.setClearColor(v(c.bgcolor)),n.setConvert(l),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&S(this,i,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=M[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var u=n[l];if(u.visible){var c=s.r2l(u[o]);!isNaN(c)&&isFinite(c)&&(e[0][i]=Math.min(e[0][i],c),e[1][i]=Math.max(e[1][i],c))}}}(this,h);var p=[1,1,1];for(s=0;s<3;++s)h[1][s]===h[0][s]?p[s]=1:p[s]=1/(h[1][s]-h[0][s]);for(n.dataScale=p,n.convertAnnotations(this),o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&((a=n.traces[i.uid])?a.data.type===i.type?a.update(i):(a.dispose(),a=i._module.plot(this,i),n.traces[i.uid]=a):(a=i._module.plot(this,i),n.traces[i.uid]=a),a.name=i.name);var d=Object.keys(n.traces);t:for(o=0;o<d.length;++o){for(s=0;s<t.length;++s)if(t[s].uid===d[o]&&!0===t[s].visible&&0!==t[s]._length)continue t;(a=n.traces[d[o]]).dispose(),delete n.traces[d[o]]}n.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var g,y=[[0,0,0],[0,0,0]],m=[],x={};for(o=0;o<3;++o){var b;if((u=(l=c[M[o]]).type)in x?(x[u].acc*=p[o],x[u].count+=1):x[u]={acc:p[o],count:1},l.autorange){y[0][o]=1/0,y[1][o]=-1/0;var w=n.glplot.objects,T=n.fullSceneLayout.annotations||[],k=l._name.charAt(0);for(s=0;s<w.length;s++){var A=w[s],E=A.bounds,L=A._trace.data._pad||0;\"ErrorBars\"===A.constructor.name&&l._lowerLogErrorBound?y[0][o]=Math.min(y[0][o],l._lowerLogErrorBound):y[0][o]=Math.min(y[0][o],E[0][o]/p[o]-L),y[1][o]=Math.max(y[1][o],E[1][o]/p[o]+L)}for(s=0;s<T.length;s++){var C=T[s];if(C.visible){var P=l.r2l(C[k]);y[0][o]=Math.min(y[0][o],P),y[1][o]=Math.max(y[1][o],P)}}if(\"rangemode\"in l&&\"tozero\"===l.rangemode&&(y[0][o]=Math.min(y[0][o],0),y[1][o]=Math.max(y[1][o],0)),y[0][o]>y[1][o])y[0][o]=-1,y[1][o]=1;else{var O=y[1][o]-y[0][o];y[0][o]-=O/32,y[1][o]+=O/32}if(b=[y[0][o],y[1][o]],b=_(b,l),y[0][o]=b[0],y[1][o]=b[1],l.isReversed()){var I=y[0][o];y[0][o]=y[1][o],y[1][o]=I}}else b=l.range,y[0][o]=l.r2l(b[0]),y[1][o]=l.r2l(b[1]);y[0][o]===y[1][o]&&(y[0][o]-=1,y[1][o]+=1),m[o]=y[1][o]-y[0][o],l.range=[y[0][o],y[1][o]],l.limitRange(),n.glplot.setBounds(o,{min:l.range[0]*p[o],max:l.range[1]*p[o]})}var D=c.aspectmode;if(\"cube\"===D)g=[1,1,1];else if(\"manual\"===D){var z=c.aspectratio;g=[z.x,z.y,z.z]}else{if(\"auto\"!==D&&\"data\"!==D)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var R=[1,1,1];for(o=0;o<3;++o){var F=x[u=(l=c[M[o]]).type];R[o]=Math.pow(F.acc,1/F.count)/p[o]}g=\"data\"===D||Math.max.apply(null,R)/Math.min.apply(null,R)<=4?R:[1,1,1]}c.aspectratio.x=f.aspectratio.x=g[0],c.aspectratio.y=f.aspectratio.y=g[1],c.aspectratio.z=f.aspectratio.z=g[2],n.glplot.setAspectratio(c.aspectratio),n.viewInitial.aspectratio||(n.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),n.viewInitial.aspectmode||(n.viewInitial.aspectmode=c.aspectmode);var B=c.domain||null,N=e._size||null;if(B&&N){var j=n.container.style;j.position=\"absolute\",j.left=N.l+B.x[0]*N.w+\"px\",j.top=N.t+(1-B.y[1])*N.h+\"px\",j.width=N.w*(B.x[1]-B.x[0])+\"px\",j.height=N.h*(B.y[1]-B.y[0])+\"px\"}n.glplot.redraw()}},k.destroy=function(){var t=this;t.glplot&&(t.camera.mouseListener.enabled=!1,t.container.removeEventListener(\"wheel\",t.camera.wheelListener),t.camera=null,t.glplot.dispose(),t.container.parentNode.removeChild(t.container),t.glplot=null)},k.getCamera=function(){var t,e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),{up:{x:(t=e.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},k.setViewport=function(t){var e,r=this,n=t.camera;r.camera.lookAt.apply(this,[[(e=n).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),r.glplot.setAspectratio(t.aspectratio),\"orthographic\"===n.projection.type!==r.camera._ortho&&(r.glplot.redraw(),r.glplot.clearRGBA(),r.glplot.dispose(),r.initializeGLPlot())},k.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},k.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},k.saveLayout=function(t){var e,r,n,i,a,o,s=this,l=s.fullLayout,u=s.isCameraChanged(t),h=s.isAspectChanged(t),p=u||h;if(p){var d={};u&&(e=s.getCamera(),n=(r=f.nestedProperty(t,s.id+\".camera\")).get(),d[s.id+\".camera\"]=n),h&&(i=s.glplot.getAspectratio(),o=(a=f.nestedProperty(t,s.id+\".aspectratio\")).get(),d[s.id+\".aspectratio\"]=o),c.call(\"_storeDirectGUIEdit\",t,l._preGUI,d),u&&(r.set(e),f.nestedProperty(l,s.id+\".camera\").set(e)),h&&(a.set(i),f.nestedProperty(l,s.id+\".aspectratio\").set(i),s.glplot.redraw())}return 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n=0;n<r;++n)for(var i=0;i<e;++i){var a=4*(e*n+i),o=t[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(o,i,a);var s=document.createElement(\"canvas\");s.width=i,s.height=a;var l,u=s.getContext(\"2d\",{willReadFrequently:!0}),c=u.createImageData(i,a);switch(c.data.set(o),u.putImageData(c,0,0),t){case\"jpeg\":l=s.toDataURL(\"image/jpeg\");break;case\"webp\":l=s.toDataURL(\"image/webp\");break;default:l=s.toDataURL(\"image/png\")}return e.staticMode&&e.container.removeChild(n),l},k.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[M[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},k.make4thDimension=function(){var t=this,e=t.graphDiv._fullLayout;t._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},p.setConvert(t._mockAxis,e)},t.exports=T},52094:function(t){\"use strict\";t.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;a<n;a++)i[a]=[t[a],e[a],r[a]];return i}},64859:function(t,e,r){\"use strict\";var 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n=r(3400),i=r(78344),a=n.deg2rad,o=n.rad2deg;t.exports=function(t,e,r){switch(i(t,r),t._id){case\"x\":case\"radialaxis\":!function(t,e){var r=e._subplot;t.setGeometry=function(){var e=t._rl[0],n=t._rl[1],i=r.innerRadius,a=(r.radius-i)/(n-e),o=i/a,s=e>n?function(t){return t<=0}:function(t){return t>=0};t.c2g=function(r){var n=t.c2l(r)-e;return(s(n)?n:0)+o},t.g2c=function(r){return t.l2c(r+e-o)},t.g2p=function(t){return t*a},t.c2p=function(e){return t.g2p(t.c2g(e))}}}(t,e);break;case\"angularaxis\":!function(t,e){var r=t.type;if(\"linear\"===r){var i=t.d2c,s=t.c2d;t.d2c=function(t,e){return function(t,e){return\"degrees\"===e?a(t):t}(i(t),e)},t.c2d=function(t,e){return s(function(t,e){return\"degrees\"===e?o(t):t}(t,e))}}t.makeCalcdata=function(e,r){var n,i,a=e[r],o=e._length,s=function(r){return t.d2c(r,e.thetaunit)};if(a)for(n=new Array(o),i=0;i<o;i++)n[i]=s(a[i]);else{var l=r+\"0\",u=\"d\"+r,c=l in e?s(e[l]):0,f=e[u]?s(e[u]):(t.period||2*Math.PI)/o;for(n=new 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h=(e.posAxis||{}).type;\"category\"!==h&&\"multicategory\"!==h||(this.minDiff=1),this.binWidth=this.minDiff,this.bins={}}i.prototype.put=function(t,e){var r=this.getLabel(t,e),n=this.bins[r]||0;return this.bins[r]=n+e,n},i.prototype.get=function(t,e){var r=this.getLabel(t,e);return this.bins[r]||0},i.prototype.getLabel=function(t,e){return(e<0&&this.sepNegVal?\"v\":\"^\")+(this.overlapNoMerge?t:Math.round(t/this.binWidth))}},60100:function(t,e,r){\"use strict\";var n=r(33428),i=r(76308),a=r(43616),o=r(3400),s=r(24040),l=r(82744).resizeText,u=r(20832),c=u.textfont,f=u.insidetextfont,h=u.outsidetextfont,p=r(60444);function d(t,e,r){a.pointStyle(t.selectAll(\"path\"),e,r),v(t,e,r)}function v(t,e,r){t.selectAll(\"text\").each((function(t){var i=n.select(this),s=o.ensureUniformFontSize(r,g(i,t,e,r));a.font(i,s)}))}function g(t,e,r,n){var i=n._fullLayout.font,a=r.textfont;if(t.classed(\"bartext-inside\")){var o=_(e,r);a=m(r,e.i,i,o)}else t.classed(\"bartext-outside\")&&(a=x(r,e.i,i));return 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t[0].trace.opacity})).each((function(t){(\"stack\"===i.barmode&&r>1||0===i.bargap&&0===i.bargroupgap&&!t[0].trace.marker.line.width)&&n.select(this).attr(\"shape-rendering\",\"crispEdges\")})),e.selectAll(\"g.points\").each((function(e){d(n.select(this),e[0].trace,t)})),s.getComponentMethod(\"errorbars\",\"style\")(e)},styleTextPoints:v,styleOnSelect:function(t,e,r){var i=e[0].trace;i.selectedpoints?function(t,e,r){a.selectedPointStyle(t.selectAll(\"path\"),e),function(t,e,r){t.each((function(t){var i,s=n.select(this);if(t.selected){i=o.ensureUniformFontSize(r,g(s,t,e,r));var l=e.selected.textfont&&e.selected.textfont.color;l&&(i.color=l),a.font(s,i)}else a.selectedTextStyle(s,e)}))}(t.selectAll(\"text\"),e,r)}(r,i,t):(d(r,i,t),s.getComponentMethod(\"errorbars\",\"style\")(r))},getInsideTextFont:m,getOutsideTextFont:x,getBarColor:_,resizeText:l}},55592:function(t,e,r){\"use strict\";var n=r(76308),i=r(94288).hasColorscale,a=r(27260),o=r(3400).coercePattern;t.exports=function(t,e,r,s,l){var u=r(\"marker.color\",s),c=i(t,\"marker\");c&&a(t,e,l,r,{prefix:\"marker.\",cLetter:\"c\"}),r(\"marker.line.color\",n.defaultLine),i(t,\"marker.line\")&&a(t,e,l,r,{prefix:\"marker.line.\",cLetter:\"c\"}),r(\"marker.line.width\"),r(\"marker.opacity\"),o(r,\"marker.pattern\",u,c),r(\"selected.marker.color\"),r(\"unselected.marker.color\")}},82744:function(t,e,r){\"use strict\";var n=r(33428),i=r(3400);function a(t){return\"_\"+t+\"Text_minsize\"}t.exports={recordMinTextSize:function(t,e,r){if(r.uniformtext.mode){var n=a(t),i=r.uniformtext.minsize,o=e.scale*e.fontSize;e.hide=o<i,r[n]=r[n]||1/0,e.hide||(r[n]=Math.min(r[n],Math.max(o,i)))}},clearMinTextSize:function(t,e){e[a(t)]=void 0},resizeText:function(t,e,r){var a=t._fullLayout,o=a[\"_\"+r+\"Text_minsize\"];if(o){var 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n.coerce(i._input,i,u,t)}for(var o=0;o<t.length;o++){var l=(i=t[o]).type;\"box\"!==l&&\"violin\"!==l||(r=i._input,\"group\"===e[l+\"mode\"]&&s(r,i,e,a))}},handleSampleDefaults:c,handlePointsDefaults:f}},10392:function(t){\"use strict\";t.exports=function(t,e){return e.hoverOnBox&&(t.hoverOnBox=e.hoverOnBox),\"xVal\"in e&&(t.x=e.xVal),\"yVal\"in e&&(t.y=e.yVal),e.xa&&(t.xaxis=e.xa),e.ya&&(t.yaxis=e.ya),t}},27576:function(t,e,r){\"use strict\";var n=r(54460),i=r(3400),a=r(93024),o=r(76308),s=i.fillText;function l(t,e,r,s){var l,u,c,f,h,p,d,v,g,y,m,x,b,_,w=t.cd,T=t.xa,k=t.ya,A=w[0].trace,M=w[0].t,S=\"violin\"===A.type,E=M.bdPos,L=M.wHover,C=function(t){return c.c2l(t.pos)+M.bPos-c.c2l(p)};S&&\"both\"!==A.side?(\"positive\"===A.side&&(g=function(t){var e=C(t);return a.inbox(e,e+L,y)},x=E,b=0),\"negative\"===A.side&&(g=function(t){var e=C(t);return a.inbox(e-L,e,y)},x=0,b=E)):(g=function(t){var e=C(t);return a.inbox(e-L,e+L,y)},x=b=E),_=S?function(t){return 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B=A.boxmean||\"sd\"===A.sizemode||(A.meanline||{}).visible,N=A.boxpoints||A.points,j=N&&B?[\"max\",\"uf\",\"q3\",\"med\",\"mean\",\"q1\",\"lf\",\"min\"]:N&&!B?[\"max\",\"uf\",\"q3\",\"med\",\"q1\",\"lf\",\"min\"]:!N&&B?[\"max\",\"q3\",\"med\",\"mean\",\"q1\",\"min\"]:[\"max\",\"q3\",\"med\",\"q1\",\"min\"],U=f.range[1]<f.range[0];A.orientation===(U?\"v\":\"h\")&&j.reverse();for(var V=t.spikeDistance,q=t[F],H=[],G=0;G<j.length;G++){var W=j[G];if(W in D){var Y=D[W],X=f.c2p(Y,!0),Z=i.extendFlat({},t);Z.attr=W,Z[u+\"0\"]=Z[u+\"1\"]=X,Z[u+\"LabelVal\"]=Y,Z[u+\"Label\"]=(M.labels?M.labels[W]+\" \":\"\")+n.hoverLabelText(f,Y,A[u+\"hoverformat\"]),Z.hoverOnBox=!0,\"mean\"!==W||!(\"sd\"in D)||\"sd\"!==A.boxmean&&\"sd\"!==A.sizemode||(Z[u+\"err\"]=D.sd),Z.hovertemplate=!1,H.push(Z)}}t.name=\"\",t.spikeDistance=void 0,t[F]=void 0;for(var K=0;K<H.length;K++)\"med\"!==H[K].attr?(H[K].name=\"\",H[K].spikeDistance=void 0,H[K][F]=void 0):(H[K].spikeDistance=V,H[K][F]=q);return H}function 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i,a=t.cd[0].trace.hoveron,o=[];return-1!==a.indexOf(\"boxes\")&&(o=o.concat(l(t,e,r,n))),-1!==a.indexOf(\"points\")&&(i=u(t,e,r)),\"closest\"===n?i?[i]:o:i?(o.push(i),o):o},hoverOnBoxes:l,hoverOnPoints:u}},67244:function(t,e,r){\"use strict\";t.exports={attributes:r(63188),layoutAttributes:r(16560),supplyDefaults:r(90624).supplyDefaults,crossTraceDefaults:r(90624).crossTraceDefaults,supplyLayoutDefaults:r(68832).supplyLayoutDefaults,calc:r(62555),crossTraceCalc:r(96404).crossTraceCalc,plot:r(18728).plot,style:r(25776).style,styleOnSelect:r(25776).styleOnSelect,hoverPoints:r(27576).hoverPoints,eventData:r(10392),selectPoints:r(8264),moduleType:\"trace\",name:\"box\",basePlotModule:r(57952),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"boxLayout\",\"zoomScale\"],meta:{}}},16560:function(t){\"use 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b=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?i.identity:[]);b.enter().append(\"path\").style(\"vector-effect\",o?\"none\":\"non-scaling-stroke\").attr(\"class\",\"box\"),b.exit().remove(),b.each((function(t){if(t.empty)return n.select(this).attr(\"d\",\"M0,0Z\");var e=f.c2l(t.pos+p,!0),a=f.l2p(e-s)+v,o=f.l2p(e+l)+v,b=h?(a+o)/2:f.l2p(e)+v,_=r.whiskerwidth,w=h?a*_+(1-_)*b:f.l2p(e-d)+v,T=h?o*_+(1-_)*b:f.l2p(e+d)+v,k=f.l2p(e-s*x)+v,A=f.l2p(e+l*x)+v,M=\"sd\"===r.sizemode,S=c.c2p(M?t.mean-t.sd:t.q1,!0),E=M?c.c2p(t.mean+t.sd,!0):c.c2p(t.q3,!0),L=i.constrain(M?c.c2p(t.mean,!0):c.c2p(t.med,!0),Math.min(S,E)+1,Math.max(S,E)-1),C=void 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t.forEach((function(t){t.t=n,t.trace=r})),t}:[]);f.enter().append(\"g\").attr(\"class\",\"points\"),f.exit().remove();var h=f.selectAll(\"path\").data((function(t){var e,n,a=t.pts2,o=Math.max((t.max-t.min)/10,t.q3-t.q1),s=1e-9*o,f=.01*o,h=[],p=0;if(r.jitter){if(0===o)for(p=1,h=new Array(a.length),e=0;e<a.length;e++)h[e]=1;else for(e=0;e<a.length;e++){var d=Math.max(0,e-5),v=a[d].v,g=Math.min(a.length-1,e+5),y=a[g].v;\"all\"!==c&&(a[e].v<t.lf?y=Math.min(y,t.lf):v=Math.max(v,t.uf));var m=Math.sqrt(f*(g-d)/(y-v+s))||0;m=i.constrain(Math.abs(m),0,1),h.push(m),p=Math.max(m,p)}n=2*r.jitter/(p||1)}for(e=0;e<a.length;e++){var x=a[e],b=x.v,_=r.jitter?n*h[e]*(i.pseudoRandom()-.5):0,w=t.pos+u+l*(r.pointpos+_);\"h\"===r.orientation?(x.y=w,x.x=b):(x.x=w,x.y=b),\"suspectedoutliers\"===c&&b<t.uo&&b>t.lo&&(x.so=!0)}return a}));h.enter().append(\"path\").classed(\"point\",!0),h.exit().remove(),h.call(a.translatePoints,o,s)}function l(t,e,r,a){var o,s,l=e.val,u=e.pos,c=!!u.rangebreaks,f=a.bPos,h=a.bPosPxOffset||0,p=r.boxmean||(r.meanline||{}).visible;Array.isArray(a.bdPos)?(o=a.bdPos[0],s=a.bdPos[1]):(o=a.bdPos,s=a.bdPos);var d=t.selectAll(\"path.mean\").data(\"box\"===r.type&&r.boxmean||\"violin\"===r.type&&r.box.visible&&r.meanline.visible?i.identity:[]);d.enter().append(\"path\").attr(\"class\",\"mean\").style({fill:\"none\",\"vector-effect\":\"non-scaling-stroke\"}),d.exit().remove(),d.each((function(t){var e=u.c2l(t.pos+f,!0),i=u.l2p(e-o)+h,a=u.l2p(e+s)+h,d=c?(i+a)/2:u.l2p(e)+h,v=l.c2p(t.mean,!0),g=l.c2p(t.mean-t.sd,!0),y=l.c2p(t.mean+t.sd,!0);\"h\"===r.orientation?n.select(this).attr(\"d\",\"M\"+v+\",\"+i+\"V\"+a+(\"sd\"===p?\"m0,0L\"+g+\",\"+d+\"L\"+v+\",\"+i+\"L\"+y+\",\"+d+\"Z\":\"\")):n.select(this).attr(\"d\",\"M\"+i+\",\"+v+\"H\"+a+(\"sd\"===p?\"m0,0L\"+d+\",\"+g+\"L\"+i+\",\"+v+\"L\"+d+\",\"+y+\"Z\":\"\"))}))}t.exports={plot:function(t,e,r,a){var 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u,c,h,v=r[0].trace,g=i.numbersX,y=i.numbersY,T=v.align||\"center\",A=x[T],E=i.transitionOpts,L=i.onComplete,C=o.ensureSingle(e,\"g\",\"numbers\"),P=[];v._hasNumber&&P.push(\"number\"),v._hasDelta&&(P.push(\"delta\"),\"left\"===v.delta.position&&P.reverse());var O=C.selectAll(\"text\").data(P);function I(e,r,n,i){if(!e.match(\"s\")||n>=0==i>=0||r(n).slice(-1).match(_)||r(i).slice(-1).match(_))return r;var a=e.slice().replace(\"s\",\"f\").replace(/\\d+/,(function(t){return parseInt(t)-1})),o=k(t,{tickformat:a});return function(t){return Math.abs(t)<1?d.tickText(o,t).text:r(t)}}O.enter().append(\"text\"),O.attr(\"text-anchor\",(function(){return A})).attr(\"class\",(function(t){return t})).attr(\"x\",null).attr(\"y\",null).attr(\"dx\",null).attr(\"dy\",null),O.exit().remove();var D,z=v.mode+v.align;if(v._hasDelta&&(D=function(){var e=k(t,{tickformat:v.delta.valueformat},v._range);e.setScale(),d.prepTicks(e);var i=function(t){return 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function(r){t.text(s+l(e(r))+o)}})):c(),u=M(s+i(r[0].y)+o,v.number.font,A,t)}(),z+=v.number.font.size+v.number.font.family+v.number.valueformat+v.number.suffix+v.number.prefix,h=u),v._hasDelta&&v._hasNumber){var R,F,B=[(u.left+u.right)/2,(u.top+u.bottom)/2],N=[(c.left+c.right)/2,(c.top+c.bottom)/2],j=.75*v.delta.font.size;\"left\"===v.delta.position&&(R=S(v,\"deltaPos\",0,-1*(u.width*b[v.align]+c.width*(1-b[v.align])+j),z,Math.min),F=B[1]-N[1],h={width:u.width+c.width+j,height:Math.max(u.height,c.height),left:c.left+R,right:u.right,top:Math.min(u.top,c.top+F),bottom:Math.max(u.bottom,c.bottom+F)}),\"right\"===v.delta.position&&(R=S(v,\"deltaPos\",0,u.width*(1-b[v.align])+c.width*b[v.align]+j,z,Math.max),F=B[1]-N[1],h={width:u.width+c.width+j,height:Math.max(u.height,c.height),left:u.left,right:c.right+R,top:Math.min(u.top,c.top+F),bottom:Math.max(u.bottom,c.bottom+F)}),\"bottom\"===v.delta.position&&(R=null,F=c.height,h={width:Math.max(u.width,c.width),height:u.height+c.height,left:Math.min(u.left,c.left),right:Math.max(u.right,c.right),top:u.bottom-u.height,bottom:u.bottom+c.height}),\"top\"===v.delta.position&&(R=null,F=u.top,h={width:Math.max(u.width,c.width),height:u.height+c.height,left:Math.min(u.left,c.left),right:Math.max(u.right,c.right),top:u.bottom-u.height-c.height,bottom:u.bottom}),D.attr({dx:R,dy:F})}(v._hasNumber||v._hasDelta)&&C.attr(\"transform\",(function(){var t=i.numbersScaler(h);z+=t[2];var e,r=S(v,\"numbersScale\",1,t[0],z,Math.min);v._scaleNumbers||(r=1),e=v._isAngular?y-r*h.bottom:y-r*(h.top+h.bottom)/2,v._numbersTop=r*h.top+e;var n=h[T];\"center\"===T&&(n=(h.left+h.right)/2);var a=g-r*n;return a=S(v,\"numbersTranslate\",0,a,z,Math.max),l(a,e)+s(r)}))}(t,I,e,{numbersX:v,numbersY:E,numbersScaler:L,transitionOpts:r,onComplete:g}),D&&(C={range:O.gauge.axis.range,color:O.gauge.bgcolor,line:{color:O.gauge.bordercolor,width:0},thickness:1},P={range:O.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:O.gauge.bordercolor,width:O.gauge.borderwidth},thickness:1});var W=I.selectAll(\"g.angular\").data(z?e:[]);W.exit().remove();var Y=I.selectAll(\"g.angularaxis\").data(z?e:[]);Y.exit().remove(),z&&function(t,e,r,a){var o,s,f,h,p=r[0].trace,v=a.size,g=a.radius,y=a.innerRadius,m=a.gaugeBg,x=a.gaugeOutline,b=[v.l+v.w/2,v.t+v.h/2+g/2],_=a.gauge,A=a.layer,M=a.transitionOpts,S=a.onComplete,E=Math.PI/2;function L(t){var e=p.gauge.axis.range[0],r=(t-e)/(p.gauge.axis.range[1]-e)*Math.PI-E;return r<-E?-E:r>E?E:r}function C(t){return n.svg.arc().innerRadius((y+g)/2-t/2*(g-y)).outerRadius((y+g)/2+t/2*(g-y)).startAngle(-E)}function P(t){t.attr(\"d\",(function(t){return C(t.thickness).startAngle(L(t.range[0])).endAngle(L(t.range[1]))()}))}_.enter().append(\"g\").classed(\"angular\",!0),_.attr(\"transform\",l(b[0],b[1])),A.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),A.selectAll(\"g.xangularaxistick,path,text\").remove(),(o=k(t,p.gauge.axis)).type=\"linear\",o.range=p.gauge.axis.range,o._id=\"xangularaxis\",o.ticklabeloverflow=\"allow\",o.setScale();var O=function(t){return(o.range[0]-t.x)/(o.range[1]-o.range[0])*Math.PI+Math.PI},I={},D=d.makeLabelFns(o,0).labelStandoff;I.xFn=function(t){var e=O(t);return Math.cos(e)*D},I.yFn=function(t){var e=O(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(D+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*c)},I.anchorFn=function(t){var e=O(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},I.heightFn=function(t,e,r){var n=O(t);return-.5*(1+Math.sin(n))*r};var z=function(t){return l(b[0]+g*Math.cos(t),b[1]-g*Math.sin(t))};f=function(t){return z(O(t))};if(s=d.calcTicks(o),h=d.getTickSigns(o)[2],o.visible){h=\"inside\"===o.ticks?-1:1;var R=(o.linewidth||1)/2;d.drawTicks(t,o,{vals:s,layer:A,path:\"M\"+h*R+\",0h\"+h*o.ticklen,transFn:function(t){var e=O(t);return z(e)+\"rotate(\"+-u(e)+\")\"}}),d.drawLabels(t,o,{vals:s,layer:A,transFn:f,labelFns:I})}var F=[m].concat(p.gauge.steps),B=_.selectAll(\"g.bg-arc\").data(F);B.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),B.select(\"path\").call(P).call(T),B.exit().remove();var N=C(p.gauge.bar.thickness),j=_.selectAll(\"g.value-arc\").data([p.gauge.bar]);j.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var U,V,q,H=j.select(\"path\");w(M)?(H.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){S&&S()})).each(\"interrupt\",(function(){S&&S()})).attrTween(\"d\",(U=N,V=L(r[0].lastY),q=L(r[0].y),function(){var t=i(V,q);return function(e){return U.endAngle(t(e))()}})),p._lastValue=r[0].y):H.attr(\"d\",\"number\"==typeof r[0].y?N.endAngle(L(r[0].y)):\"M0,0Z\"),H.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var W=_.selectAll(\"g.threshold-arc\").data(F);W.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),W.select(\"path\").call(P).call(T),W.exit().remove();var Y=_.selectAll(\"g.gauge-outline\").data([x]);Y.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),Y.select(\"path\").call(P).call(T),Y.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:W,layer:Y,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var X=I.selectAll(\"g.bullet\").data(R?e:[]);X.exit().remove();var Z=I.selectAll(\"g.bulletaxis\").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,u,c=r[0].trace,f=n.gauge,p=n.layer,v=n.gaugeBg,g=n.gaugeOutline,y=n.size,x=c.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",l(y.l,y.t)),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var A=y.h,M=c.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(c._hasNumber||c._hasDelta?1-h.bulletNumberDomainSize:1);function L(t){t.attr(\"width\",(function(t){return 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O=f.selectAll(\"g.value-bullet\").data([c.gauge.bar]);O.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),O.select(\"rect\").attr(\"height\",M).attr(\"y\",(A-M)/2).call(T),w(b)?O.select(\"rect\").transition().duration(b.duration).ease(b.easing).each(\"end\",(function(){_&&_()})).each(\"interrupt\",(function(){_&&_()})).attr(\"width\",Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y)))):O.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y))):0),O.exit().remove();var I=r.filter((function(){return c.gauge.threshold.value||0===c.gauge.threshold.value})),D=f.selectAll(\"g.threshold-bullet\").data(I);D.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),D.select(\"line\").attr(\"x1\",i.c2p(c.gauge.threshold.value)).attr(\"x2\",i.c2p(c.gauge.threshold.value)).attr(\"y1\",(1-c.gauge.threshold.thickness)/2*A).attr(\"y2\",(1-(1-c.gauge.threshold.thickness)/2)*A).call(m.stroke,c.gauge.threshold.line.color).style(\"stroke-width\",c.gauge.threshold.line.width),D.exit().remove();var z=f.selectAll(\"g.gauge-outline\").data([g]);z.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),z.select(\"rect\").call(L).call(T),z.exit().remove()}(t,0,e,{gauge:X,layer:Z,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var K=I.selectAll(\"text.title\").data(e);K.exit().remove(),K.enter().append(\"text\").classed(\"title\",!0),K.attr(\"text-anchor\",(function(){return 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n=r(71688).wrap,i=r(94288).hasColorscale,a=r(47128),o=r(68944),s=r(43616),l=r(3400),u=r(38248);function c(t,e,r){t.valueInds.push(e),t.count+=r}function f(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function h(t,e,r){t.valueInds.push(e),t.count+=r}t.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,v,g=r.map((function(t){var e;if(\"trace\"===t.categoryorder)e=null;else if(\"array\"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!u(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),\"category descending\"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},i=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var a=0;a<t.length;a++){var o,s=t[a];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),i.push(o)}var l=e.map((function(t){return 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S=[];for(b=0;b<M.length;b++)S.push(M[b][x]);d=p[x%p.length],v+=d;var E=(_=x,w=void 0,T=void 0,l.isArrayOrTypedArray(m.color)?T=w=m.color[_%m.color.length]:w=m.color,{color:y(w),rawColor:T}),L=S+\"-\"+E.rawColor;void 0===A[L]&&(A[L]=f(S,E.color,E.rawColor)),h(A[L],x,d)}var C,P=r.map((function(t,e){return function(t,e,r,n,i){return{dimensionInd:t,containerInd:e,displayInd:r,dimensionLabel:n,count:i,categories:[],dragX:null}}(e,t._index,t._displayindex,t.label,v)}));for(x=0;x<k;x++)for(d=p[x%p.length],b=0;b<P.length;b++){var O=P[b].containerInd,I=g[b].inds[x],D=P[b].categories;if(void 0===D[I]){var z=e.dimensions[O]._categoryarray[I],R=e.dimensions[O]._ticktext[I];D[I]={dimensionInd:b,categoryInd:C=I,categoryValue:z,displayInd:C,categoryLabel:R,valueInds:[],count:0,dragY:null}}c(D[I],x,d)}return n(function(t,e,r){var n=t.map((function(t){return t.categories.length})).reduce((function(t,e){return Math.max(t,e)}));return{dimensions:t,paths:e,trace:void 0,maxCats:n,count:r}}(P,A,v))}},76671:function(t,e,r){\"use strict\";var n=r(3400),i=r(94288).hasColorscale,a=r(27260),o=r(86968).Q,s=r(51272),l=r(72140),u=r(26284),c=r(38116).isTypedArraySpec;function f(t,e){function r(r,i){return n.coerce(t,e,l.dimensions,r,i)}var i=r(\"values\"),a=r(\"visible\");if(i&&i.length||(a=e.visible=!1),a){r(\"label\"),r(\"displayindex\",e._index);var o,s=t.categoryarray,u=n.isArrayOrTypedArray(s)&&s.length>0||c(s);u&&(o=\"array\");var f=r(\"categoryorder\",o);\"array\"===f?(r(\"categoryarray\"),r(\"ticktext\")):(delete t.categoryarray,delete t.ticktext),u||\"array\"!==f||(e.categoryorder=\"trace\")}}t.exports=function(t,e,r,c){function h(r,i){return n.coerce(t,e,l,r,i)}var p=s(t,e,{name:\"dimensions\",handleItemDefaults:f}),d=function(t,e,r,o,s){s(\"line.shape\"),s(\"line.hovertemplate\");var l=s(\"line.color\",o.colorway[0]);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return 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a=e._context.staticPlot,o=t.map(F.bind(0,e,r)),c=i.selectAll(\"g.parcatslayer\").data([null]);c.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",a?\"none\":\"all\");var h=c.selectAll(\"g.trace.parcats\").data(o,p),m=h.enter().append(\"g\").attr(\"class\",\"trace parcats\");h.attr(\"transform\",(function(t){return l(t.x,t.y)})),m.append(\"g\").attr(\"class\",\"paths\");var x=h.select(\"g.paths\").selectAll(\"path.path\").data((function(t){return t.paths}),p);x.attr(\"fill\",(function(t){return t.model.color}));var w=x.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);_(w),x.attr(\"d\",(function(t){return t.svgD})),w.empty()||x.sort(v),x.exit().remove(),x.on(\"mouseover\",g).on(\"mouseout\",y).on(\"click\",b),m.append(\"g\").attr(\"class\",\"dimensions\");var A=h.select(\"g.dimensions\").selectAll(\"g.dimension\").data((function(t){return t.dimensions}),p);A.enter().append(\"g\").attr(\"class\",\"dimension\"),A.attr(\"transform\",(function(t){return l(t.x,0)})),A.exit().remove();var M=A.selectAll(\"g.category\").data((function(t){return t.categories}),p),S=M.enter().append(\"g\").attr(\"class\",\"category\");M.attr(\"transform\",(function(t){return l(0,t.y)})),S.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),M.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),T(S);var E=M.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p);E.each((function(){s.raiseToTop(this)})),E.attr(\"fill\",(function(t){return t.color}));var D=E.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);E.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(D),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append(\"text\").attr(\"class\",\"dimlabel\"),M.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",O).on(\"dragend\",I)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){s.raiseToTop(this),w(n.select(this));var e=m(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var i,a,l,u=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),v=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=u&&u<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],y=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+y.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=c.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+v.left,y:_-d.top+v.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function y(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(v),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function m(t){for(var e=[],r=D(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function _(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return c.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,m(t))}))}));var u={};u[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:u})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,m(t))}));var u={};u[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(u.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:u})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),u=l.node().getBoundingClientRect(),c=l.datum(),f=c.parcatsViewModel,h=f.model.dimensions[c.model.dimensionInd],p=f.trace,d=u.top+u.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=u.left,a=\"left\"):(i=u.left+u.width,a=\"right\");var v=c.model.count,g=c.model.categoryLabel,y=v/c.parcatsViewModel.model.count,m={countLabel:v,categoryLabel:g,probabilityLabel:y.toFixed(3)},x=[];-1!==c.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",m.countLabel].join(\" \")),-1!==c.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+m.categoryLabel+\"):\",m.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:m,eventData:[{data:p._input,fullData:p,count:v,category:g,probability:y}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron,u=this;\"color\"===l?(function(t){var e=n.select(t).datum(),r=A(e);w(r),r.each((function(){s.raiseToTop(this)})),n.select(t.parentNode).selectAll(\"rect.bandrect\").filter((function(t){return t.color===e.color})).each((function(){s.raiseToTop(this),n.select(this).attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}))}(u),S(u,\"plotly_hover\",n.event)):(function(t){n.select(t.parentNode).selectAll(\"rect.bandrect\").each((function(t){var e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(u),M(u,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")&&(\"category\"===l?e=E(r,a,u):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),u=n.select(r).datum(),f=u.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,v=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var g=f.model.categoryLabel,y=u.parcatsViewModel.model.count,m=0;u.categoryViewModel.bands.forEach((function(t){t.color===u.color&&(m+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===u.color&&(b+=t.model.count)}));var _=m/y,w=m/b,T=m/x,k={countLabel:y,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color ∩ \"+g+\"): \"+k.probabilityLabel),A.push(\"P(\"+g+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+g+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=c.mostReadable(u.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(v-e.top),text:M,color:u.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:y,probability:_,categorycount:x,colorcount:b,bandcolorcount:m}]}}(r,a,u):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(E(t,e,this))})),i}(r,a,u)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r}))}}function C(t){var e=t.parcatsViewModel;e.dragDimension||(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(v),-1!==e.hoverinfoItems.indexOf(\"skip\"))||(\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event))}function P(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,u=a.categories,c=u[l-1],f=u[l+1];void 0!==c&&s<c.y+c.height/2&&(o.model.displayInd=c.model.displayInd,c.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),z(t.parcatsViewModel)}}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=D(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var u=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),c=u.map((function(t){return t.categoryValue})),f=u.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[c],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd&&(t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null),t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function 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k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||m()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,u=o.svgBrush;if(u.wasDragged=!1,u.grabbingBar=\"ns\"===s.region,u.grabbingBar){var c=l.map(e.unitToPaddedPx);u.grabPoint=r-c[0]-n.verticalPadding,u.barLength=c[1]-c[0]}u.clickableOrdinalRange=s.clickableOrdinalRange,u.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(u.stayingIntervals=u.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),u.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,u.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,m(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var u=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(u?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),u?b(t.parentNode,s):(s(),b(t.parentNode))}else 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t.slice()}))}(e),n=r.slice();e.filter.set(n),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);i.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e,r){var i=r._context.staticPlot,a=t.selectAll(\".background\").data(o);a.enter().append(\"rect\").classed(\"background\",!0).call(d).call(v).style(\"pointer-events\",i?\"none\":\"auto\").attr(\"transform\",l(0,n.verticalPadding)),a.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var s=t.selectAll(\".highlight-shadow\").data(o);s.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),s.attr(\"y1\",(function(t){return t.height})).call(x);var 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t=this,r=t.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":r,preserveAspectRatio:\"none\",x:0,y:0,width:t.style.width,height:t.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},95044:function(t,e,r){\"use strict\";var n=r(3400).isArrayOrTypedArray,i=r(8932),a=r(71688).wrap;t.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},30140:function(t){\"use 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s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,c);o(e,l,c),Array.isArray(v)&&v.length||(e.visible=!1),h(e,v,\"values\",g);var y={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(c,\"labelfont\",y),n.coerceFont(c,\"tickfont\",y),n.coerceFont(c,\"rangefont\",y),c(\"labelangle\"),c(\"labelside\"),c(\"unselected.line.color\"),c(\"unselected.line.opacity\")}},95724:function(t,e,r){\"use strict\";var n=r(3400).isTypedArray;e.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},e.isOrdinal=function(t){return!!t.tickvals},e.isVisible=function(t){return t.visible||!(\"visible\"in t)}},29928:function(t,e,r){\"use strict\";var n=r(61664);n.plot=r(24196),t.exports=n},51352:function(t,e,r){\"use strict\";var n=r(26444),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(maskTexture,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=r(30140).maxDimensionCount,s=r(3400),l=1e-6,u=new Uint8Array(4),c=new Uint8Array(4),f={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function h(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function p(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(function(t){t.read({x:0,y:0,width:1,height:1,data:u})}(t),r.drawCompleted=!0),function s(l){var u=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],h(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*u,a.offset=2*l*n,e(a),l*n+u<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function d(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function v(t,e){return(t>>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,u=r[64*a+l];63===l&&0===o&&(u*=-1),n[i++]=u}return n}function y(t){var e=\"0\"+t;return e.substr(e.length-2)}function m(t){return t<o?\"p\"+y(t+1)+\"_\"+y(t+4):\"colors\"}function 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e=2047,r=Math.max(0,Math.floor(t[0]*e),0),n=Math.min(e,Math.ceil(t[1]*e),e);return[Math.min(r,n),Math.max(r,n)]}t.exports=function(t,e){var r,n,u,y,_,w=e.context,T=e.pick,k=e.regl,A=k._gl,M=A.getParameter(A.ALIASED_LINE_WIDTH_RANGE),S=Math.max(M[0],Math.min(M[1],e.viewModel.plotGlPixelRatio)),E={currentRafs:{},drawCompleted:!0,clearOnly:!1},L=function(t){for(var e={},r=0;r<=o;r+=4)e[m(r)]=t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return e}(k),C=k.texture(f),P=[];I(e);var O=k({profile:!1,blend:{enable:w,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src 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left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:i({name:\"pie\",trace:!0,editType:\"calc\"}),hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},sort:{valType:\"boolean\",dflt:!0,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"angle\",dflt:0,editType:\"calc\"},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0,editType:\"calc\"},_deprecated:{title:{valType:\"string\",dflt:\"\",editType:\"calc\"},titlefont:u({},f,{}),titleposition:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"calc\"}}}},80036:function(t,e,r){\"use strict\";var n=r(7316);e.name=\"pie\",e.plot=function(t,r,i,a){n.plotBasePlot(e.name,t,r,i,a)},e.clean=function(t,r,i,a){n.cleanBasePlot(e.name,t,r,i,a)}},45768:function(t,e,r){\"use strict\";var n=r(38248),i=r(49760),a=r(76308),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}t.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],u=e.labels,c=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(u=new Array(h),r=0;r<h;r++)u[r]=String(e.label0+r*e.dlabel);var d={},v=s(o[\"_\"+e.type+\"colormap\"]),g=0,y=!1;for(r=0;r<h;r++){var m,x,b;if(p){if(m=f[r],!n(m))continue;m=+m}else m=1;void 0!==(x=u[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 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r=i.isArrayOrTypedArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var u=e[l];if(n(u)&&u>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function c(t,e,r,n,i){n(\"marker.line.width\")&&n(\"marker.line.color\",i?void 0:r.paper_bgcolor);var a=n(\"marker.colors\");l(n,\"marker.pattern\",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:u,handleMarkerDefaults:c,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var f=u(l(\"labels\"),l(\"values\")),h=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(l(\"label0\"),l(\"dlabel\")),h){e._length=h,c(t,e,n,l,!0),l(\"scalegroup\");var p,d=l(\"text\"),v=l(\"texttemplate\");if(v||(p=l(\"textinfo\",i.isArrayOrTypedArray(d)?\"text+percent\":\"percent\")),l(\"hovertext\"),l(\"hovertemplate\"),v||p&&\"none\"!==p){var g=l(\"textposition\");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&l(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&l(\"insidetextorientation\")}o(e,n,l);var y=l(\"hole\");if(l(\"title.text\")){var m=l(\"title.position\",y?\"middle center\":\"top center\");y||\"middle center\"!==m||(e.title.position=\"top center\"),i.coerceFont(l,\"title.font\",n.font)}l(\"sort\"),l(\"direction\"),l(\"rotation\"),l(\"pull\")}else e.visible=!1}}},53644:function(t,e,r){\"use strict\";var n=r(10624).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},21552:function(t,e,r){\"use strict\";var n=r(43616),i=r(76308);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},69656:function(t,e,r){\"use strict\";var n=r(3400);function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(n.isArrayOrTypedArray(t))for(var r=0;r<e.length;r++){var i=t[e[r]];if(i||0===i||\"\"===i)return i}},e.castOption=function(t,r){return n.isArrayOrTypedArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},75792:function(t,e,r){\"use strict\";t.exports={attributes:r(74996),supplyDefaults:r(74174).supplyDefaults,supplyLayoutDefaults:r(90248),layoutAttributes:r(85204),calc:r(45768).calc,crossTraceCalc:r(45768).crossTraceCalc,plot:r(37820).plot,style:r(22152),styleOne:r(10528),moduleType:\"trace\",name:\"pie\",basePlotModule:r(80036),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},85204:function(t){\"use strict\";t.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},90248:function(t,e,r){\"use strict\";var n=r(3400),i=r(85204);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},37820:function(t,e,r){\"use strict\";var n=r(33428),i=r(7316),a=r(93024),o=r(76308),s=r(43616),l=r(3400),u=l.strScale,c=l.strTranslate,f=r(72736),h=r(82744),p=h.recordMinTextSize,d=h.clearMinTextSize,v=r(78048).TEXTPAD,g=r(69656),y=r(53644),m=r(3400).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,u=i.trace,c=\"funnelarea\"===u.type;\"_hasHoverLabel\"in u||(u._hasHoverLabel=!1),\"_hasHoverEvent\"in u||(u._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[u.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:u._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),v=s+t.pxmid[1]*(1-p),m=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,m),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,m),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:u,x0:d-p*i.r,x1:d+p*i.r,y:v,_x0:c?o+t.TL[0]:d-p*i.r,_x1:c?o+t.TR[0]:d+p*i.r,_y0:c?s+t.TL[1]:v-p*i.r,_y1:c?s+t.BL[1]:v+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[y(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,u=e.midangle,c=r.trace.insidetextorientation,f=\"horizontal\"===c,h=\"tangential\"===c,p=\"radial\"===c,d=\"auto\"===c,v=[];if(!d){var g,y=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),u=s<l?s:l;(a=\"tan\"===i?k(t,n,o,u,0):T(t,n,o,u,Math.PI/2)).textPosAngle=r,v.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)y(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),\"tan\")}if(f||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),\"rad\")}}if(s||d||f){var m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var 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r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=O(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?c*=2:-1!==a.title.position.indexOf(\"right\")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(t){var e,r=t.pull;if(!r)return 0;if(l.isArrayOrTypedArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=P(i,e));var u=s/2,c=l/2;\"funnelarea\"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+O(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var u,c;i.aspectratio>1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function D(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,u=o.split(\"+\"),c=function(t){return-1!==u.indexOf(t)},f=c(\"label\"),h=c(\"text\"),p=c(\"value\"),d=c(\"percent\"),v=n.separators;if(s=f?[e.label]:[],h){var y=g.getFirstFilled(i.text,e.pts);m(y)&&s.push(y)}p&&s.push(g.formatPieValue(e.v,v)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d(\"pie\",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u=\"px0\",c=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,u=\"px1\",c=\"px0\"}for(n=D(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[u]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=D(a,s),r.midangle=s,n=D(a,s+=l*r.v/2),r.stopangle=s,r[c]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var m=n.select(this).selectAll(\"g.slice\").data(e);m.enter().append(\"g\").classed(\"slice\",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A=\"M\"+(u+i.px0[0])+\",\"+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(u+k*i.px0[0])+\",\"+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(u+k*i.px1[0])+\",\"+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+u+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}z(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if(\"outside\"===E)d=L(m,i);else if(d=w(m,i,v),\"auto\"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:D(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*v.r+\",\"+n*v.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var k=n.select(this).selectAll(\"g.titletext\").data(y.title.text?[0]:[]);if(k.enter().append(\"g\").classed(\"titletext\",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,y.title.font).call(f.convertToTspans,t),e=\"middle center\"===y.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(v):C(v,h),r.attr(\"transform\",c(e.x,e.y)+u(Math.min(1,e.scale))+c(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,u,c,f,h,p,d,v;function y(t,e){return t.pxmid[1]-e.pxmid[1]}function m(t,e){return e.pxmid[1]-t.pxmid[1]}function x(t,r){r||(r={});var i,c,f,p,d=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),v=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,m=t.cyFinal+o(t.px0[1],t.px1[1]),x=d-v;if(x*u>0&&(t.labelExtraY=x),l.isArrayOrTypedArray(e.pull))for(c=0;c<h.length;c++)(f=h[c])===t||(g.castOption(e.pull,t.pts)||0)>=(g.castOption(e.pull,f.pts)||0)||((t.pxmid[1]-f.pxmid[1])*u>0?(x=f.cyFinal+o(f.px0[1],f.px1[1])-v-t.labelExtraY)*u>0&&(t.labelExtraY+=x):(y+t.labelExtraY-m)*u>0&&(i=3*s*Math.abs(c-h.indexOf(t)),(p=f.cxFinal+a(f.px0[0],f.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=p)))}for(n=0;n<2;n++)for(i=n?y:m,o=n?Math.max:Math.min,u=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),f=t[1-n][r],h=f.concat(c),d=[],p=0;p<c.length;p++)void 0!==c[p].yLabelMid&&d.push(c[p]);for(v=!1,p=0;n&&p<f.length;p++)if(void 0!==f[p].yLabelMid){v=f[p];break}for(p=0;p<d.length;p++){var b=p&&d[p-1];v&&!p&&(b=v),x(d[p],b)}}}(_,y),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,l.setTransormAndDisplay(i,t.transform);var a=t.cxFinal+t.pxmid[0],s=\"M\"+a+\",\"+(t.cyFinal+t.pxmid[1]),u=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var c=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(c)>Math.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+u):s+=\"l\"+t.labelExtraX+\",\"+c+\"v\"+(f-c)+\"h\"+u}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+u;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(m,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=h.w*(M.x[1]-M.x[0]),E=h.h*(M.y[1]-M.y[0]),P=(.5*S-v.r)/h.w,O=(.5*E-v.r)/h.h;i.autoMargin(t,\"pie.\"+y.uid+\".automargin\",{xl:M.x[0]-P,xr:M.x[1]+P,yb:M.y[0]-O,yt:M.y[1]+O,l:Math.max(v.cx-v.r-A.left,0),r:Math.max(A.right-(v.cx+v.r),0),b:Math.max(A.bottom-(v.cy+v.r),0),t:Math.max(v.cy-v.r-A.top,0),pad:5})}}))}));setTimeout((function(){v.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:z,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:I,attachFxHandlers:x,computeTransform:R}},22152:function(t,e,r){\"use strict\";var n=r(33428),i=r(10528),a=r(82744).resizeText;t.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(e){var r=e[0].trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll(\"path.surface\").each((function(e){n.select(this).call(i,e,r,t)}))}))}},10528:function(t,e,r){\"use strict\";var n=r(76308),i=r(69656).castOption,a=r(21552);t.exports=function(t,e,r,o){var s=r.marker.line,l=i(s.color,e.pts)||n.defaultLine,u=i(s.width,e.pts)||0;t.call(a,e,r,o).style(\"stroke-width\",u).call(n.stroke,l)}},35484:function(t,e,r){\"use strict\";var n=r(52904);t.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\"},transforms:void 0}},11072:function(t,e,r){\"use strict\";var n=r(67792).gl_pointcloud2d,i=r(3400).isArrayOrTypedArray,a=r(43080),o=r(19280).findExtremes,s=r(44928);function l(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=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var u=l.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:i(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,s,l,u=this.xData=this.pickXData=t.x,c=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.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(l=0;l<e;l++)i=n[2*l],s=n[2*l+1],i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=u.length,n=new Float32Array(2*e),r=new Int32Array(e),l=0;l<e;l++)i=u[l],s=c[l],r[l]=l,n[2*l]=i,n[2*l+1]=s,i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var v=a(t.marker.color),g=a(t.marker.border.color),y=t.opacity*t.marker.opacity;v[3]*=y,this.pointcloudOptions.color=v;var m=t.marker.blend;null===m&&(m=u.length<100||c.length<100),this.pointcloudOptions.blend=m,g[3]*=y,this.pointcloudOptions.borderColor=g;var x=t.marker.sizemin,b=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=b,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var _=this.scene.xaxis,w=this.scene.yaxis,T=b/2||.5;t._extremes[_._id]=o(_,[d[0],d[2]],{ppad:T}),t._extremes[w._id]=o(w,[d[1],d[3]],{ppad:T})},u.dispose=function(){this.pointcloud.dispose()},t.exports=function(t,e){var r=new l(t,e.uid);return 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n=r(25376),i=r(45464),a=r(22548),o=r(55756),s=r(86968).u,l=r(21776).Ks,u=r(49084),c=r(31780).templatedArray,f=r(29736).descriptionOnlyNumbers,h=r(92880).extendFlat,p=r(67824).overrideAll;(t.exports=p({hoverinfo:h({},i.hoverinfo,{flags:[],arrayOk:!1}),hoverlabel:o.hoverlabel,domain:s({name:\"sankey\",trace:!0}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\"},valueformat:{valType:\"string\",dflt:\".3s\",description:f(\"value\")},valuesuffix:{valType:\"string\",dflt:\"\"},arrangement:{valType:\"enumerated\",values:[\"snap\",\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"snap\"},textfont:n({}),customdata:void 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:c.tinyRGB(n),tinyColorAlpha:n.getAlpha(),tinyColorHoverHue:c.tinyRGB(i),tinyColorHoverAlpha:i.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return\"top\"===t.circularLinkType?\"M \"+(n.targetX-e)+\" \"+(n.targetY+r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 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\"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY+r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\"}(t.link,e);var r=Math.abs((t.link.target.x0-t.link.source.x1)/2);e>r&&(e=r);var n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),u=t.link.y0-t.link.width/2,c=t.link.y0+t.link.width/2,f=t.link.y1-t.link.width/2,h=t.link.y1+t.link.width/2,p=\"M\"+n+\",\"+u,d=\"C\"+s+\",\"+u+\" \"+l+\",\"+f+\" \"+a+\",\"+f,v=\"C\"+l+\",\"+h+\" \"+s+\",\"+c+\" \"+n+\",\"+c,g=e>0?\"L\"+(a+e)+\",\"+(f+t.link.width/2):\"\";return p+d+(g+=\"L\"+a+\",\"+h)+v+\"Z\"}}function S(t,e){var r=u(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\"node_\"+e.pointNumber;return e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:c.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function C(t,e){t.call(L),e.attr(\"d\",M())}function P(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function O(t){return t.link.width>1||t.linkLineWidth>0}function I(t){return p(t.translateX,t.translateY)+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function D(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function z(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(a){if(\"fixed\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force(\"collide\",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force(\"constrain\",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),C(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var 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a=(t.graph.nodes[i].x0+t.graph.nodes[i].x1)/2,o=(t.graph.nodes[i].y0+t.graph.nodes[i].y1)/2;r.push(a/t.figure.width),n.push(o/t.figure.height)}b.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}t.exports=function(t,e,r,n,i){var o=t._context.staticPlot,s=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){s=!0}));var v=t._fullLayout._dragCover,b=r.filter((function(t){return m(t).trace.visible})).map(k.bind(null,n)),_=e.selectAll(\".\"+l.cn.sankey).data(b,g);_.exit().remove(),_.enter().append(\"g\").classed(l.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",o?\"none\":\"auto\").attr(\"transform\",I),_.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;h.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",o?\"none\":\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})})),_.transition().ease(l.ease).duration(l.duration).attr(\"transform\",I);var L=_.selectAll(\".\"+l.cn.sankeyLinks).data(y,g);L.enter().append(\"g\").classed(l.cn.sankeyLinks,!0).style(\"fill\",\"none\");var C=L.selectAll(\".\"+l.cn.sankeyLink).data((function(t){return t.graph.links.filter((function(t){return t.value})).map(A.bind(null,t))}),g);C.enter().append(\"path\").classed(l.cn.sankeyLink,!0).call(D,_,i.linkEvents),C.style(\"stroke\",(function(t){return O(t)?c.tinyRGB(u(t.linkLineColor)):t.tinyColorHue})).style(\"stroke-opacity\",(function(t){return O(t)?c.opacity(t.linkLineColor):t.tinyColorAlpha})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})).style(\"stroke-width\",(function(t){return O(t)?t.linkLineWidth:1})).attr(\"d\",M()),C.style(\"opacity\",(function(){return t._context.staticPlot||s||v?1:0})).transition().ease(l.ease).duration(l.duration).style(\"opacity\",1),C.exit().transition().ease(l.ease).duration(l.duration).style(\"opacity\",0).remove();var R=_.selectAll(\".\"+l.cn.sankeyNodeSet).data(y,g);R.enter().append(\"g\").classed(l.cn.sankeyNodeSet,!0),R.style(\"cursor\",(function(t){switch(t.arrangement){case\"fixed\":return\"default\";case\"perpendicular\":return\"ns-resize\";default:return\"move\"}}));var F=R.selectAll(\".\"+l.cn.sankeyNode).data((function(t){var e=t.graph.nodes;return function(t){var e,r=[];for(e=0;e<t.length;e++)t[e].originalX=(t[e].x0+t[e].x1)/2,t[e].originalY=(t[e].y0+t[e].y1)/2,-1===r.indexOf(t[e].originalX)&&r.push(t[e].originalX);for(r.sort((function(t,e){return t-e})),e=0;e<t.length;e++)t[e].originalLayerIndex=r.indexOf(t[e].originalX),t[e].originalLayer=t[e].originalLayerIndex/(r.length-1)}(e),e.map(S.bind(null,t))}),g);F.enter().append(\"g\").classed(l.cn.sankeyNode,!0).call(E).style(\"opacity\",(function(e){return!t._context.staticPlot&&!s||e.partOfGroup?0:1})),F.call(D,_,i.nodeEvents).call(z,C,i,t),F.transition().ease(l.ease).duration(l.duration).call(E).style(\"opacity\",(function(t){return t.partOfGroup?0:1})),F.exit().transition().ease(l.ease).duration(l.duration).style(\"opacity\",0).remove();var B=F.selectAll(\".\"+l.cn.nodeRect).data(y);B.enter().append(\"rect\").classed(l.cn.nodeRect,!0).call(P),B.style(\"stroke-width\",(function(t){return t.nodeLineWidth})).style(\"stroke\",(function(t){return c.tinyRGB(u(t.nodeLineColor))})).style(\"stroke-opacity\",(function(t){return c.opacity(t.nodeLineColor)})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),B.transition().ease(l.ease).duration(l.duration).call(P);var N=F.selectAll(\".\"+l.cn.nodeLabel).data(y);N.enter().append(\"text\").classed(l.cn.nodeLabel,!0).style(\"cursor\",\"default\"),N.attr(\"data-notex\",1).text((function(t){return t.node.label})).each((function(e){var r=a.select(this);f.font(r,e.textFont),x.convertToTspans(r,t)})).style(\"text-shadow\",x.makeTextShadow(t._fullLayout.paper_bgcolor)).attr(\"text-anchor\",(function(t){return 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n=r(94288).hasColorscale,i=r(47128),a=r(43028);t.exports=function(t,e){a.hasLines(e)&&n(e,\"line\")&&i(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),a.hasMarkers(e)&&(n(e,\"marker\")&&i(t,e,{vals:e.marker.color,containerStr:\"marker\",cLetter:\"c\"}),n(e,\"marker.line\")&&i(t,e,{vals:e.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}))}},88200:function(t){\"use strict\";t.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},96664:function(t,e,r){\"use strict\";var n=r(16356),i=r(96376).setGroupPositions;function a(t,e,r,n,i,a,o){i[n]=!0;var s={i:null,gap:!0,s:0};if(s[o]=r,t.splice(e,0,s),e&&r===t[e-1][o]){var l=t[e-1];s.s=l.s,s.i=l.i,s.gap=l.gap}else a&&(s.s=function(t,e,r,n){var i=t[e-1],a=t[e+1];return a?i?i.s+(a.s-i.s)*(r-i[n])/(a[n]-i[n]):a.s:i.s}(t,e,r,o));e||(t[0].t=t[1].t,t[0].trace=t[1].trace,delete t[1].t,delete 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n=r(21776).Ks,i=r(21776).Gw,a=r(52904),o=r(45464),s=r(49084),l=r(98192).u,u=r(92880).extendFlat,c=r(67824).overrideAll,f=a.marker,h=a.line,p=f.line;t.exports=c({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",b),l.hasMarkers(e)&&(f(t,e,r,v,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",y||m?1:0)),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,v,g),g(\"line.shape\")),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,v,g));var _=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},26768:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(13448).DESELECTDIM;t.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,u=l._scene,c=l.index,f=u.selectBatch[c],h=u.unselectBatch[c],p=u.textOptions[c],d=u.textSelectedOptions[c]||{},v=u.textUnselectedOptions[c]||{},g=n.extendFlat({},p);if(f.length||h.length){var y=d.color,m=v.color,x=p.color,b=n.isArrayOrTypedArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=y||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=m||(y?_:i.addOpacity(_,a))}}u.glText[c].update(g)}}},99396:function(t,e,r){\"use strict\";var n=r(76688);t.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},80088:function(t,e,r){\"use strict\";var n=r(67072);e.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},e.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},41272:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400),a=r(44928);function o(t,e,r,o){var s=t.xa,l=t.ya,u=t.distance,c=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=i.isArrayOrTypedArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.ma=i.isArrayOrTypedArray(d.angle)?d.angle[f]:d.angle,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var v=d&&d.line;v&&(h.mlc=Array.isArray(v.color)?v.color[f]:v.color,h.mlw=i.isArrayOrTypedArray(v.width)?v.width[f]:v.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var y=s.c2p(h.x,!0),m=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:y-x,x1:y+x,xLabelVal:k?k[f]:h.x,y0:m-x,y1:m+x,yLabelVal:A?A[f]:h.y,cd:T,distance:u,spikeDistance:c,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}t.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,u,c,f,h,p,d,v=t.cd,g=v[0].t,y=v[0].trace,m=t.xa,x=t.ya,b=g.x,_=g.y,w=m.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=m.p2c(w-k),M=m.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if(\"x\"===n){var C=!!y.xperiodalignment,P=!!y.yperiodalignment;for(c=0;c<i.length;c++){if(l=b[a=i[c]],f=Math.abs(m.c2p(l)-w),C){var O=m.c2p(y._xStarts[a]),I=m.c2p(y._xEnds[a]);f=w>=Math.min(O,I)&&w<=Math.max(O,I)?0:1/0}if(f<L){if(L=f,u=_[a],h=x.c2p(u)-T,P){var D=x.c2p(y._yStarts[a]),z=x.c2p(y._yEnds[a]);h=T>=Math.min(D,z)&&T<=Math.max(D,z)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[c]}}}else for(c=i.length-1;c>-1;c--)l=b[a=i[c]],u=_[a],f=m.c2p(l)-w,h=x.c2p(u)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 0===s?[t]:[o(t,b,_,y)]},calcHover:o}},38983:function(t,e,r){\"use strict\";var n=r(64628);n.plot=r(89876),t.exports=n},89876:function(t,e,r){\"use strict\";var n=r(38540),i=r(13472),a=r(24544),o=r(23352),s=r(3400),l=r(72760).selectMode,u=r(5048),c=r(43028),f=r(14328),h=r(26768).styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,u=i.r*n,c=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-u-(1-e.domain[1])*f,o-c-(1-r.domain[1])*h]}(t.exports=function(t,e,r){if(r.length){var v,g,y=t._fullLayout,m=e._scene,x=e.xaxis,b=e.yaxis;if(m)if(u(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],p)){var _=m.count,w=y._glcanvas.data()[0].regl;if(f(t,e,r),m.dirty){if(!m.line2d&&!m.error2d||m.scatter2d||m.fill2d||m.glText||w.clear({}),!0===m.error2d&&(m.error2d=a(w)),!0===m.line2d&&(m.line2d=i(w)),!0===m.scatter2d&&(m.scatter2d=n(w)),!0===m.fill2d&&(m.fill2d=i(w)),!0===m.glText)for(m.glText=new Array(_),v=0;v<_;v++)m.glText[v]=new o(w);if(m.glText){if(_>m.glText.length){var T=_-m.glText.length;for(v=0;v<T;v++)m.glText.push(new o(w))}else if(_<m.glText.length){var k=m.glText.length-_;m.glText.splice(_,k).forEach((function(t){t.destroy()}))}for(v=0;v<_;v++)m.glText[v].update(m.textOptions[v])}if(m.line2d&&(m.line2d.update(m.lineOptions),m.lineOptions=m.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),m.line2d.update(m.lineOptions)),m.error2d){var A=(m.errorXOptions||[]).concat(m.errorYOptions||[]);m.error2d.update(A)}m.scatter2d&&m.scatter2d.update(m.markerOptions),m.fillOrder=s.repeat(null,_),m.fill2d&&(m.fillOptions=m.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,u=m.lineOptions[e],c=[];s._ownfill&&c.push(e),s._nexttrace&&c.push(e+1),c.length&&(m.fillOrder[e]=c);var f,h,p=[],d=u&&u.positions||l.positions;if(\"tozeroy\"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if(\"tozerox\"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],i=0,t.splitNull=!0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),p.push(null,null),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var v=s._nexttrace;if(v){var g=m.lineOptions[e+1];if(g){var y=g.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=v.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=m.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<_.length;a+=2)(isNaN(_[a])||isNaN(_[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),m.fill2d.update(m.fillOptions))}var M=y.dragmode,S=l(M),E=y.clickmode.indexOf(\"select\")>-1;for(v=0;v<_;v++){var L=r[v][0],C=L.trace,P=L.t,O=P.index,I=C._length,D=P.x,z=P.y;if(C.selectedpoints||S||E){if(S||(S=!0),C.selectedpoints){var R=m.selectBatch[O]=s.selIndices2selPoints(C),F={};for(g=0;g<R.length;g++)F[R[g]]=1;var B=[];for(g=0;g<I;g++)F[g]||B.push(g);m.unselectBatch[O]=B}var N=P.xpx=new Array(I),j=P.ypx=new Array(I);for(g=0;g<I;g++)N[g]=x.c2p(D[g]),j[g]=b.c2p(z[g])}else P.xpx=P.ypx=null}if(S){if(m.select2d||(m.select2d=n(y._glcanvas.data()[1].regl)),m.scatter2d){var U=new Array(_);for(v=0;v<_;v++)U[v]=m.selectBatch[v].length||m.unselectBatch[v].length?m.markerUnselectedOptions[v]:{};m.scatter2d.update(U)}m.select2d&&(m.select2d.update(m.markerOptions),m.select2d.update(m.markerSelectedOptions)),m.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};c.hasText(e)&&h(t)}))}else m.scatter2d&&m.scatter2d.update(m.markerOptions);var V={viewport:d(y,x,b,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(b._rl||b.range)[0],(x._rl||x.range)[1],(b._rl||b.range)[1]]},q=s.repeat(V,m.count);m.fill2d&&m.fill2d.update(q),m.line2d&&m.line2d.update(q),m.error2d&&m.error2d.update(q.concat(q)),m.scatter2d&&m.scatter2d.update(q),m.select2d&&m.select2d.update(q),m.glText&&m.glText.forEach((function(t){t.update(V)}))}else m.init()}}).reglPrecompiled=p},74588:function(t,e,r){\"use strict\";var n=r(3400);t.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,u=r.selectBatch,c=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(c[f].length){var h=n.repeat([],r.count);h[f]=c[f],o.draw(h)}else u[f].length||o.draw(f);s[f]&&r.textOptions[f]&&s[f].render()}l&&l.draw(u),r.dirty=!1},r.destroy=function(){r.fill2d&&r.fill2d.destroy&&r.fill2d.destroy(),r.scatter2d&&r.scatter2d.destroy&&r.scatter2d.destroy(),r.error2d&&r.error2d.destroy&&r.error2d.destroy(),r.line2d&&r.line2d.destroy&&r.line2d.destroy(),r.select2d&&r.select2d.destroy&&r.select2d.destroy(),r.glText&&r.glText.forEach((function(t){t.destroy&&t.destroy()})),r.lineOptions=null,r.fillOptions=null,r.markerOptions=null,r.markerSelectedOptions=null,r.markerUnselectedOptions=null,r.errorXOptions=null,r.errorYOptions=null,r.textOptions=null,r.textSelectedOptions=null,r.textUnselectedOptions=null,r.selectBatch=null,r.unselectBatch=null,e._scene=null}),r.dirty||n.extendFlat(r,i),r}},73224:function(t,e,r){\"use strict\";var n=r(43028),i=r(26768).styleTextSelection;t.exports=function(t,e){var r=t.cd,a=t.xaxis,o=t.yaxis,s=[],l=r[0].trace,u=r[0].t,c=l._length,f=u.x,h=u.y,p=u._scene,d=u.index;if(!p)return s;var v=n.hasText(l),g=n.hasMarkers(l),y=!g&&!v;if(!0!==l.visible||y)return s;var m=[],x=[];if(!1!==e&&!e.degenerate)for(var b=0;b<c;b++)e.contains([u.xpx[b],u.ypx[b]],!1,b,t)?(m.push(b),s.push({pointNumber:b,x:a.c2d(f[b]),y:o.c2d(h[b])})):x.push(b);if(g){var _=p.scatter2d;if(m.length||x.length){if(!p.selectBatch[d].length&&!p.unselectBatch[d].length){var w=new Array(p.count);w[d]=p.markerUnselectedOptions[d],_.update.apply(_,w)}}else{var T=new Array(p.count);T[d]=p.markerOptions[d],_.update.apply(_,T)}}return p.selectBatch[d]=m,p.unselectBatch[d]=x,v&&i(r),s}},31512:function(t,e,r){\"use strict\";var n=r(21776).Ks,i=r(21776).Gw,a=r(6096),o=r(52904),s=r(5232),l=r(45464),u=r(49084),c=r(92880).extendFlat,f=r(67824).overrideAll,h=r(5232),p=a.line,d=a.marker;t.exports=f({lon:a.lon,lat:a.lat,cluster:{enabled:{valType:\"boolean\"},maxzoom:c({},h.layers.maxzoom,{}),step:{valType:\"number\",arrayOk:!0,dflt:-1,min:-1},size:{valType:\"number\",arrayOk:!0,dflt:20,min:0},color:{valType:\"color\",arrayOk:!0},opacity:c({},d.opacity,{dflt:1})},mode:c({},o.mode,{dflt:\"markers\"}),text:c({},o.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:c({},o.hovertext,{}),line:{color:p.color,width:p.width},connectgaps:o.connectgaps,marker:c({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:d.opacity,size:d.size,sizeref:d.sizeref,sizemin:d.sizemin,sizemode:d.sizemode},u(\"marker\")),fill:a.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:c({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},59392:function(t,e,r){\"use 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(52948),s=r(45464),l=r(92880).extendFlat,u={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},starts:{x:{valType:\"data_array\",editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"},maxdisplayed:{valType:\"integer\",min:0,dflt:1e3,editType:\"calc\"},sizeref:{valType:\"number\",editType:\"calc\",min:0,dflt:1},text:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(u,n(\"\",{colorAttr:\"u/v/w 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L=function(){m=0,M=[],S=[],E=[]};(!m||m<M.length*S.length*E.length)&&L();var C=function(t){return\"x\"===t?v:\"y\"===t?g:y},P=function(t){return\"x\"===t?M:\"y\"===t?S:E},O=function(t){return t[m-1]<t[0]?-1:1},I=C(A[1]),D=C(A[3]),z=C(A[5]),R=P(A[1]).length,F=P(A[3]).length,B=P(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=O(C(A[1])),V=O(C(A[3])),q=O(C(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var H=j(e,r,i),G=j(e,r,i+1),W=j(e,r+1,i),Y=j(e+1,r,i);if(I[H]*U<I[G]*U&&D[H]*V<D[W]*V&&z[H]*q<z[Y]*q||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! 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y=n[c];r.xMax=Math.max(r.xMax,y),r.xMin=Math.min(r.xMin,y);var m=o[c];r.yMax=Math.max(r.yMax,m),r.yMin=Math.min(r.yMin,m);var x=l[c];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=u,e._normMax=f,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},25668:function(t,e,r){\"use strict\";var n=r(67792).gl_streamtube3d,i=n.createTubeMesh,a=r(3400),o=r(33040).parseColorScale,s=r(8932).extractOpts,l=r(52094),u={xaxis:0,yaxis:1,zaxis:2};function c(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var f=c.prototype;function h(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,c=e._len,f={};function d(t,e){var n=r[e],o=i[u[e]];return a.simpleMap(t,(function(t){return 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n=r(45464),i=r(21776).Ks,a=r(21776).Gw,o=r(49084),s=r(86968).u,l=r(74996),u=r(27328),c=r(92880).extendFlat,f=r(98192).c;t.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:c({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:c({},l.marker.line.color,{dflt:null}),width:c({},l.marker.line.width,{dflt:1}),editType:\"calc\"},pattern:f,editType:\"calc\"},o(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:l.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current 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n=r(7316);e.name=\"sunburst\",e.plot=function(t,r,i,a){n.plotBasePlot(e.name,t,r,i,a)},e.clean=function(t,r,i,a){n.cleanBasePlot(e.name,t,r,i,a)}},3776:function(t,e,r){\"use strict\";var n=r(74148),i=r(38248),a=r(3400),o=r(8932).makeColorScaleFuncFromTrace,s=r(45768).makePullColorFn,l=r(45768).generateExtendedColors,u=r(8932).calc,c=r(39032).ALMOST_EQUAL,f={},h={},p={};function d(t,e,r){var n=0,i=t.children;if(i){for(var a=i.length,o=0;o<a;o++)n+=d(i[o],e,r);r.branches&&n++}else r.leaves&&n++;return t.value=t.data.data.value=n,e._values||(e._values=[]),e._values[t.data.data.i]=n,n}e.calc=function(t,e){var r,l,f,h,p,v,g=t._fullLayout,y=e.ids,m=a.isArrayOrTypedArray(y),x=e.labels,b=e.parents,_=e.values,w=a.isArrayOrTypedArray(_),T=[],k={},A={},M=function(t){return t||\"number\"==typeof t},S=function(t){return!w||i(_[t])&&_[t]>=0};m?(r=Math.min(y.length,b.length),l=function(t){return M(y[t])&&S(t)},f=function(t){return String(y[t])}):(r=Math.min(x.length,b.length),l=function(t){return 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a,o,s=t._fullLayout,l=s._sunburstlayer,u=!r,c=!s.uniformtext.mode&&b.hasTransition(r);f(\"sunburst\",s),(a=l.selectAll(\"g.trace.sunburst\").data(e,(function(t){return t[0].trace.uid}))).enter().append(\"g\").classed(\"trace\",!0).classed(\"sunburst\",!0).attr(\"stroke-linejoin\",\"round\"),a.order(),c?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){o&&o()})).each(\"interrupt\",(function(){o&&o()})).each((function(){l.selectAll(\"g.trace\").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&y(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\")),u&&a.exit().remove()},e.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&\"none\"!==o))return\"\";var l=i.separators,u=n[0],c=t.data.data,f=u.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var v,g=o.split(\"+\"),y=function(t){return-1!==g.indexOf(t)},m=[];if(y(\"label\")&&c.label&&m.push(c.label),c.hasOwnProperty(\"v\")&&y(\"value\")&&m.push(b.formatValue(c.v,l)),!h){y(\"current path\")&&m.push(b.getPath(t.data));var x=0;y(\"percent parent\")&&x++,y(\"percent entry\")&&x++,y(\"percent root\")&&x++;var _=x>1;if(x){var w,T=function(t){v=b.formatPercent(w,l),_&&(v+=\" of \"+t),m.push(v)};y(\"percent parent\")&&!h&&(w=d/b.getValue(p),T(\"parent\")),y(\"percent entry\")&&(w=d/b.getValue(e),T(\"entry\")),y(\"percent root\")&&(w=d/b.getValue(f),T(\"root\"))}}return y(\"text\")&&(v=s.castOption(r,c.i,\"text\"),s.isValidTextValue(v)&&m.push(v)),m.join(\"<br>\")}var k=s.castOption(r,c.i,\"texttemplate\");if(!k)return\"\";var A={};c.label&&(A.label=c.label),c.hasOwnProperty(\"v\")&&(A.value=c.v,A.valueLabel=b.formatValue(c.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),c.hasOwnProperty(\"color\")&&(A.color=c.color);var M=s.castOption(r,c.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,c.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},85676:function(t,e,r){\"use strict\";var n=r(33428),i=r(76308),a=r(3400),o=r(82744).resizeText,s=r(60404);function l(t,e,r,n){var o=e.data.data,l=!e.children,u=o.i,c=a.castOption(r,u,\"marker.line.color\")||i.defaultLine,f=a.castOption(r,u,\"marker.line.width\")||0;t.call(s,e,r,n).style(\"stroke-width\",f).call(i.stroke,c).style(\"opacity\",l?r.leaf.opacity:null)}t.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(e){var r=n.select(this),i=e[0].trace;r.style(\"opacity\",i.opacity),r.selectAll(\"path.surface\").each((function(e){n.select(this).call(l,e,i,t)}))}))},styleOne:l}},16716:function(t,e,r){\"use strict\";var n=r(76308),i=r(49084),a=r(29736).axisHoverFormat,o=r(21776).Ks,s=r(45464),l=r(92880).extendFlat,u=r(67824).overrideAll;function c(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var f=t.exports=u(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:c(),y:c(),z:c()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},_deprecated:{zauto:l({},i.zauto,{}),zmin:l({},i.zmin,{}),zmax:l({},i.zmax,{})},hoverinfo:l({},s.hoverinfo),showlegend:l({},s.showlegend,{dflt:!1})}),\"calc\",\"nested\");f.x.editType=f.y.editType=f.z.editType=\"calc+clearAxisTypes\",f.transforms=void 0},56576:function(t,e,r){\"use strict\";var n=r(47128);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},79164:function(t,e,r){\"use strict\";var n=r(67792).gl_surface3d,i=r(67792).ndarray,a=r(67792).ndarray_linear_interpolate.d2,o=r(70448),s=r(11240),l=r(3400).isArrayOrTypedArray,u=r(33040).parseColorScale,c=r(43080),f=r(8932).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){null!=t.dataCoordinate[a]&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var o=this.data.hovertext||this.data.text;return l(o)&&o[i]&&void 0!==o[i][n]?t.textLabel=o[i][n]:t.textLabel=o||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function v(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function g(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(v(t,n))}return e}function y(t){for(var e=g(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function m(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var u=0;u<s;u++)r(i,[l,u],n),t.set(l,u,a(e,i[0],i[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=m(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=y(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,u=1+a+1,c=i(new Float32Array(l*u),[l,u]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(c,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,c,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=u(t),v=l.dataScale,g=t.z[0].length,y=t._ylength,m=l.contourLevels;this.data=t;var x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<g;r++)x[e][r]=[];for(r=0;r<g;r++)for(n=0;n<y;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<g;r++)for(t._interpolatedZ[r]=[],n=0;n<y;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=v[e];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(g*y),[g,y]),i(new Float32Array(g*y),[g,y]),i(new Float32Array(g*y),[g,y])];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)b[e].set(r,n,x[e][r][n]);x=[];var w={colormap:d,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},T=f(t);if(w.intensityBounds=[T.min,T.max],t.surfacecolor){var k=i(new Float32Array(g*y),[g,y]);for(r=0;r<g;r++)for(n=0;n<y;n++)k.set(r,n,t.surfacecolor[n][r]);b.push(k)}else w.intensityBounds[0]*=v[2],w.intensityBounds[1]*=v[2];(_<b[0].shape[0]||_<b[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(b[0].shape[0],0),this.dataScaleY=this.estimateScale(b[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(b)),t.surfacecolor&&(w.intensity=b.pop());var A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=m[e],p.highlightColor[e]=w.contourColor[e]=c(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=c(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),\"lightposition\"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z])},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},t.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},60192:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400),a=r(27260),o=r(16716);function s(t,e,r,n){var i=n(\"opacityscale\");\"max\"===i?e.opacityscale=[[0,.1],[1,1]]:\"min\"===i?e.opacityscale=[[0,1],[1,.1]]:\"extremes\"===i?e.opacityscale=function(t,e){for(var r=[],n=0;n<32;n++){var i=n/31,a=.1+.9*(1-Math.pow(Math.sin(1*i*Math.PI),2));r.push([i,Math.max(0,Math.min(1,a))])}return r}():function(t){var e=0;if(!Array.isArray(t)||t.length<2)return!1;if(!t[0]||!t[t.length-1])return!1;if(0!=+t[0][0]||1!=+t[t.length-1][0])return!1;for(var r=0;r<t.length;r++){var n=t[r];if(2!==n.length||+n[0]<e)return!1;e=+n[0]}return!0}(i)||(e.opacityscale=void 0)}function l(t,e,r){e in t&&!(r in t)&&(t[r]=t[e])}t.exports={supplyDefaults:function(t,e,r,u){var c,f;function h(r,n){return i.coerce(t,e,o,r,n)}var 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m(t,e){return\"clip\"+t._fullLayout._uid+\"_columnBoundaryClippath_\"+e.calcdata.key+\"_\"+e.specIndex}function x(t){return[].concat.apply([],t.map((function(t){return t}))).map((function(t){return t.__data__}))}function b(t,e,r){var a=t.selectAll(\".\"+n.cn.scrollbarKit).data(s.repeat,s.keyFun);a.enter().append(\"g\").classed(n.cn.scrollbarKit,!0).style(\"shape-rendering\",\"geometricPrecision\"),a.each((function(t){var e=t.scrollbarState;e.totalHeight=function(t){var e=t.rowBlocks;return 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32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<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,r,n;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();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,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,u=0,c=0|o[0],f=8191&c,h=c>>>13,p=0|o[1],d=8191&p,v=p>>>13,g=0|o[2],y=8191&g,m=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],O=8191&P,I=P>>>13,D=0|o[8],z=8191&D,R=D>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,W=0|s[2],Y=8191&W,X=W>>>13,Z=0|s[3],K=8191&Z,J=Z>>>13,$=0|s[4],Q=8191&$,tt=$>>>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],ft=8191&ct,ht=ct>>>13,pt=0|s[9],dt=8191&pt,vt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(u+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;u=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(v,U)|0,a=Math.imul(v,V);var yt=(u+(n=n+Math.imul(f,H)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,H)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,H)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,H)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,X)|0;var xt=(u+(n=n+Math.imul(f,K)|0)|0)+((8191&(i=(i=i+Math.imul(f,J)|0)+Math.imul(h,K)|0))<<13)|0;u=((a=a+Math.imul(h,J)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,X)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(d,K)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(v,K)|0,a=a+Math.imul(v,J)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(y,K)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(m,K)|0,a=a+Math.imul(m,J)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,K)|0,i=(i=i+Math.imul(b,J)|0)+Math.imul(_,K)|0,a=a+Math.imul(_,J)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,H)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,H)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,K)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,K)|0,a=a+Math.imul(k,J)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,H)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,H)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,K)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,K)|0,a=a+Math.imul(S,J)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,H)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,X)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,X)|0,n=n+Math.imul(L,K)|0,i=(i=i+Math.imul(L,J)|0)+Math.imul(C,K)|0,a=a+Math.imul(C,J)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,X)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(O,K)|0,i=(i=i+Math.imul(O,J)|0)+Math.imul(I,K)|0,a=a+Math.imul(I,J)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,X))+Math.imul(N,Y)|0,a=Math.imul(N,X),n=n+Math.imul(z,K)|0,i=(i=i+Math.imul(z,J)|0)+Math.imul(R,K)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,K),i=(i=Math.imul(B,J))+Math.imul(N,K)|0,a=Math.imul(N,J),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),u=Math.max(0,a-t.length+1);u<=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.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},g.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},g.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]]},g.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 f=l,h=u,p=0;p<o;p++){var d=r[c+p],v=n[c+p],g=r[c+p+o],y=n[c+p+o],m=f*g-h*y;y=f*y+h*g,g=m,r[c+p]=d+g,n[c+p]=v+y,r[c+p+o]=d-g,n[c+p+o]=v-y,p!==s&&(m=l*f-u*h,h=l*h+u*f,f=m)}},g.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},g.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}},g.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},g.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))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var p=0;p<n;p++){var d=s[p]*c[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*c[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),v(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=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(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){var i;n(\"number\"==typeof t&&t>=0),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 f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&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,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(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)).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 f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}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){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}: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);var i,o,s},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(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),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,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&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];a=(s+=a)>>>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,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},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 T(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 y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){m.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){m.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){m.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>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):void 0!==r.strip?r.strip():r._strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(x,m),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.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(b,m),i(_,m),i(w,m),w.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(y[t])return y[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.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\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.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)},T.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},T.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)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.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 a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var v=p,g=0;0!==v.cmp(s);g++)v=v.redSqr();n(g<d);var y=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(y),f=y.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var u=e.words[n],c=l-1;c>=0;c--){var f=u>>c&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4==++s||0===n&&0===c)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.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)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var 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if(h.right===s){if(!(d=p.left)||0!==d._color){p._color=0,p.right=h.left,h._color=1,h.left=p,l[f-2]=h,l[f-1]=s,i(p),i(h),f>=3&&((v=l[f-3]).right===p?v.right=h:v.left=h);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}else{var d;if(!(d=p.left)||0!==d._color){var v;h.left=s.right,p._color=0,p.right=s.left,s._color=1,s.right=h,s.left=p,l[f-2]=s,l[f-1]=h,i(p),i(h),i(s),f>=3&&((v=l[f-3]).right===p?v.right=s:v.left=s);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}}return l[0]._color=1,new a(o,l[0])},o.forEach=function(t,e,r){if(this.root)switch(arguments.length){case 1:return s(t,this.root);case 2:return l(e,this._compare,t,this.root);case 3:if(this._compare(e,r)>=0)return;return u(e,r,this._compare,t,this.root)}},Object.defineProperty(o,\"begin\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.left;return new c(this,t)}}),Object.defineProperty(o,\"end\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.right;return new c(this,t)}}),o.at=function(t){if(t<0)return new c(this,[]);for(var e=this.root,r=[];;){if(r.push(e),e.left){if(t<e.left._count){e=e.left;continue}t-=e.left._count}if(!t)return new c(this,r);if(t-=1,!e.right)break;if(t>=e.right._count)break;e=e.right}return new c(this,[])},o.ge=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new c(this,n)},o.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new c(this,n)},o.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new c(this,n)},o.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new c(this,n)},o.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new c(this,n);r=i<=0?r.left:r.right}return new c(this,[])},o.remove=function(t){var e=this.find(t);return e?e.remove():this},o.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var f=c.prototype;function h(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function p(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(f,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(f,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),f.clone=function(){return new c(this.tree,this._stack.slice())},f.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var o=new Array(t.length),s=t[t.length-1];o[o.length-1]=new e(s._color,s.key,s.value,s.left,s.right,s._count);for(var l=t.length-2;l>=0;--l)(s=t[l]).left===t[l+1]?o[l]=new e(s._color,s.key,s.value,o[l+1],s.right,s._count):o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);if((s=o[o.length-1]).left&&s.right){var u=o.length;for(s=s.left;s.right;)o.push(s),s=s.right;var c=o[u-1];for(o.push(new e(s._color,c.key,c.value,s.left,s.right,s._count)),o[u-1].key=s.key,o[u-1].value=s.value,l=o.length-2;l>=u;--l)s=o[l],o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);o[u-1].left=o[u]}if(0===(s=o[o.length-1])._color){var f=o[o.length-2];for(f.left===s?f.left=null:f.right===s&&(f.right=null),o.pop(),l=0;l<o.length;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(s.left||s.right){for(s.left?h(s,s.left):s.right&&h(s,s.right),s._color=1,l=0;l<o.length-1;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(1===o.length)return new a(this.tree._compare,null);for(l=0;l<o.length;++l)o[l]._count--;var p=o[o.length-2];return function(t){for(var e,a,o,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((a=t[l-1]).left===e){if((o=a.right).right&&0===o.right._color)return s=(o=a.right=r(o)).right=r(o.right),a.right=o.left,o.left=a,o.right=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),void(t[l-1]=o);if(o.left&&0===o.left._color)return s=(o=a.right=r(o)).left=r(o.left),a.right=s.left,o.left=s.right,s.left=a,s.right=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).left===a?u.left=s:u.right=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.right=n(0,o));a.right=n(0,o);continue}o=r(o),a.right=o.left,o.left=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((o=a.left).left&&0===o.left._color)return s=(o=a.left=r(o)).left=r(o.left),a.left=o.right,o.right=a,o.left=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),void(t[l-1]=o);if(o.right&&0===o.right._color)return s=(o=a.left=r(o)).right=r(o.right),a.left=s.right,o.right=s.left,s.right=a,s.left=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).right===a?u.right=s:u.left=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.left=n(0,o));a.left=n(0,o);continue}var u;o=r(o),a.left=o.right,o.right=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(o),p.left===s?p.left=null:p.right=null,new a(this.tree._compare,o[0])},Object.defineProperty(f,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(f,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(f,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),f.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),f.update=function(t){var r=this._stack;if(0===r.length)throw new Error(\"Can't update empty node!\");var n=new Array(r.length),i=r[r.length-1];n[n.length-1]=new e(i._color,i.key,t,i.left,i.right,i._count);for(var o=r.length-2;o>=0;--o)(i=r[o]).left===r[o+1]?n[o]=new e(i._color,i.key,i.value,n[o+1],i.right,i._count):n[o]=new e(i._color,i.key,i.value,i.left,n[o+1],i._count);return new a(this.tree._compare,n[0])},f.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},7453:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=new c(t);return r.update(e),r};var n=r(9557),i=r(1681),a=r(1011),o=r(2864),s=r(8468),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function u(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function c(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=c.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),u=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),c=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t)for(r=t.ticks,c=!0,this.autoTicks=!1,p=0;p<3;++p)this.tickSpacing[p]=0;else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,c=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),c=!0),c){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?c=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(c=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),u(\"tickColor\");var v=l(\"labels\");l(\"labelFont\")&&(v=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),u(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),u(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),u(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),u(\"gridColor\"),o(\"zeroEnable\"),u(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),u(\"backgroundColor\"),this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(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 f=a,h=s,p=o,d=l;u&1<<c&&(f=s,h=a,p=l,d=o),f[c]=r[0][c],h[c]=r[1][c],i[c]>0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,D=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,D=(A+1+(1^O))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,P,this.zeroLineColor[D],this.zeroLineWidth[D]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var z=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,q=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(q[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var H=[0,0,0];if(H[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,E=1,\"auto\"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)q[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),\"auto\"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),O=0;O<3;++O)q[O]+=k*U[O]*this.labelPad[O]/r[5*O];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},1011:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},2864:function(t,e,r){\"use strict\";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]<u[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);o(u[I],u[P],u[O],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);var I,D=d([l[I],l[P],l[O],l[I+(1<<M)+(1<<S)]]);C?E=D:L=D}L>E&&(w|=1<<A)}}}var z=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==z&&(R<0||u[R][1]>u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==z&&(F<0&&(F=N),(S=u[N])[0]<u[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==z&&N!==F&&(B<0&&(B=N),(S=u[N])[0]>u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,q=w;for(A=0;A<3;++A)V[A]=q&1<<A?-1:1;return y};var n=r(2288),i=r(104),a=r(4670),o=r(417),s=new Array(16),l=new Array(8),u=new Array(8),c=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],u[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var v=[1,1,1],g=[0,0,0],y={cubeEdges:v,axis:g}},1681:function(t,e,r){\"use strict\";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var v=+r[f][d].x;o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h,h=o.length/3|0;for(var y=0;y<r[f].length;++y)v=+r[f][y].x,o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1);g=o.length/3|0,u[f]=h,c[f]=g-h}var m=n(t,new Float32Array(o)),x=i(t,[{buffer:m,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,m,x,b,l,s,c,u)};var n=r(5827),i=r(2944),a=r(1943).j,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var p=h(u,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var v=f(l);v[t]=1,this.shader.uniforms.screenAxis=v,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},1943:function(t,e,r){\"use strict\";var n=r(6832),i=r(5158),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.j=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.f=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);e.bg=function(t){return i(t,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},9557:function(t,e,r){\"use strict\";t.exports=function(t,e,r,i,o,l){var u=n(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,i,o,l),p};var n=r(5827),a=r(2944),o=r(875),s=r(1943).f,l=window||i.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=u[r];l||(l=u[r]={});var c=l[e];c||(c=l[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=c.positions,p=c.cells,d=0,v=p.length;d<v;++d)for(var g=p[d],y=2;y>=0;--y){var m=h[g[y]];a.push(f*m[0],-f*m[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v<n[d].length;++v)n[d][v].text&&s(n[d][v].x,n[d][v].text,n[d][v].font||i,n[d][v].fontSize||12,1.25,p);c[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=c,this.labelOffset=f,this.labelCount=h},f.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},f.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},8468:function(t,e){\"use strict\";function r(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 f=\"\"+u;f.length<i;)f=\"0\"+f;return c+\".\"+f}return c}e.create=function(t,e){for(var n=[],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:r(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(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}},2771:function(t,e,r){\"use strict\";t.exports=function(t,e,r,l,f){var h=e.model||u,p=e.view||u,y=e.projection||u,m=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,y,x,m)).axis;o(c,p,h),o(c,y,c);for(var _=v,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(c,c));s(c,c);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=m?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var O=d(g,c,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(O[C])))}}}}return _};var n=r(5795),i=r(4670),a=r(2864),o=r(104),s=r(2142),l=r(6342),u=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,u=0;u<3;++u)s[u]=o[u]=r[u];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var v=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},5827:function(t,e,r){\"use strict\";var n=r(5306),i=r(7498),a=r(5050),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function u(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<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 c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,\"uint16\"):c(t,\"float32\"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||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(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==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 i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},1140:function(t,e,r){\"use strict\";var n=r(2858);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;m<r.length;m++){var x=r[m];s=Math.min(x[0],s),l=Math.max(x[0],l),u=Math.min(x[1],u),c=Math.max(x[1],c),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[m];if(n.length(b)>o&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A,m=0;for(var M=0;m<r.length;m++)for(var S=(x=r[m])[0],E=x[1],L=x[2],C=v[m],P=n.length(C)*k,O=0;O<8;O++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var I=a.positions.length;a.cells.push([I-6,I-5,I-4],[I-3,I-2,I-1])}return a};var i=r(7234);t.exports.createMesh=r(5028),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:\"cone\"})}},5028:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(104),l=r(7437),u=r(5050),c=r(9156),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,u,c){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=u,this.triangleCount=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.traceType=c,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.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.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"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),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({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 u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),v=Math.max(v,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),v=Math.max(v,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var m=n[g],x=0;x<3;++x)!isNaN(m[x])&&isFinite(m[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],m[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],m[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];if(3===_.length){for(x=0;x<3;++x){m=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(m[w])||!isFinite(m[w]))continue t}for(x=0;x<3;++x){var T;m=n[T=_[2-x]],a.push(m[0],m[1],m[2],m[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(v-d),0]:[(m[2]-d)/(v-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,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 u={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};u.inverseModel=l(u.inverseModel,u.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(s(c,u.view,u.model),s(c,u.projection,c),l(c,c),o=0;o<3;++o)u.eyePosition[o]=c[12+o]/c[15];var h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];u.lightPosition[o]=p/h}if(this.triangleCount>0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,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,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return m.update(e),m}},7234:function(t,e,r){var n=r(6832),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},1950:function(t){t.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},6603:function(t,e,r){var 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outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},4234:function(t,e,r){\"use strict\";var n=r(8931);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension(\"WEBGL_draw_buffers\");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=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(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,u),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 c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>c||r<0||r>c)throw new 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c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error(\"gl-fbo: Framebuffer unsupported\");case a:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(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 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m=r.getExtension(\"WEBGL_depth_texture\");m?d?t.depth=h(r,i,a,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):v&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(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),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),c(r,e),f(x)}c(r,e)}(this)}var v=d.prototype;function g(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 n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(v,{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 g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),v.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])}},v.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)}}},3530:function(t,e,r){var n=r(8974).sprintf,i=r(6603),a=r(9365),o=r(8008);t.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var u=n(\"Error compiling %s shader %s:\\n\",l,s),c=n(\"%s%s\",u,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var v=parseInt(d.split(\":\")[2]);if(isNaN(v))throw new Error(n(\"Could not parse error: %s\",d));h[v]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if((h[p+3]||h[p+2]||h[p+1])&&(u+=g[p]+\"\\n\",h[p+1])){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),u+=n(\"^^^ %s\\n\\n\",y)}return{long:u.trim(),short:c.trim()}}},6386:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=t.gl,n=new u(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(5070),i=r(9560),a=r(5306),o=r(5158),s=r(5827),l=r(1292);function u(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}var c,f=u.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(c=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],u=a[3]-a[1];c[0]=2*o/l,c[4]=2*s/u,c[6]=2*(r[0]-a[0])/l-1,c[7]=2*(r[1]-a[1])/u-1,e.bind();var f=e.uniforms;f.viewTransform=c,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.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],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*u/f,t[4]=2*c/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.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]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,O;l?(P=x*(o[C]-c),O=x*(o[C+1]-c)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),O=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-c):x*(o[C]+(o[C]-o[C-1])/2-c));for(var I=0;I<E;++I){var D,z;l?(D=m*(r[I]-u),z=m*(r[I+1]-u)):(D=I<b-1?m*(r[I]-(r[I+1]-r[I])/2-u):m*(r[I]-(r[I]-r[I-1])/2-u),z=I<b-1?m*(r[I]+(r[I+1]-r[I])/2-u):m*(r[I]+(r[I]-r[I-1])/2-u));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],q=s[l?(C+V)*b+(I+U):C*b+I],H=n.le(d,q);if(H<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(H===g-1)F=v[4*g-4],B=v[4*g-3],N=v[4*g-2],j=v[4*g-1];else{var G=(q-d[H])/(d[H+1]-d[H]),W=1-G,Y=4*H,X=4*(H+1);F=W*v[Y]+G*v[X],B=W*v[Y+1]+G*v[X+1],N=W*v[Y+2]+G*v[X+2],j=W*v[Y+3]+G*v[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*D+.5*z,k[2*S+1]=.5*P+.5*O,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+I,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},1292:function(t,e,r){\"use strict\";var n=r(6832);t.exports={fragment:n([\"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:n([\"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:n([\"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:n([\"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\"])}},248:function(t,e,r){var n=r(6832),i=r(5158),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  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  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  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  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},6086:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){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 g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:v(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:v(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var 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t[0]=x*n+b*s+_*f+w*v,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*u+_*p+w*y,t[3]=x*o+b*c+_*d+w*m,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*v,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*u+_*p+w*y,t[7]=x*o+b*c+_*d+w*m,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*v,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*u+_*p+w*y,t[11]=x*o+b*c+_*d+w*m,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*v,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*u+_*p+w*y,t[15]=x*o+b*c+_*d+w*m,t}},5268:function(t){t.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t}},1120:function(t){t.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},4422:function(t){t.exports=function(t,e,r,n){var 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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}},4340:function(t,e,r){\"use strict\";var n=r(957),i=r(7309);function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}t.exports=function(t,e,r,a,l,u){if(1===t.length)return[0,t[0].slice()];for(var c=new Array(t.length),f=0;f<t.length;++f)c[f]=o(t[f],r,a,l,u);var h=0,p=1/0;for(f=0;f<c.length;++f){for(var d=0,v=0;v<2;++v)d+=Math.pow(c[f][v]-e[v],2);d<p&&(p=d,h=f)}var g=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return(r=Math.sqrt(r))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(c,e),y=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},2056:function(t,e,r){var n=r(6832),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,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}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 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}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},8116:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!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.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var f=u[0];2===u.length&&(f=u[c]);for(var d=n[f][0],v=n[f][1],g=i[f],y=1-g,m=this.positions[d],x=this.positions[v],b=0;b<3;++b)o[s++]=g*m[b]+y*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.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),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"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=o(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(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return c(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],u=[],h=[],p=[],d=[],v=[],g=[],y=[],m=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,O=t.cellUVs,I=t.cellIntensity,D=1/0,z=-1/0;if(!C&&!O)if(P)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],z=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];D=Math.min(D,F),z=Math.max(z,F)}else if(I)if(t.cellIntensityBounds)D=+t.cellIntensityBounds[0],z=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[R],D=Math.min(D,F),z=Math.max(z,F);else for(R=0;R<n.length;++R)F=n[R][2],D=Math.min(D,F),z=Math.max(z,F);this.intensity=P||I||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.pickVertex=!(I||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[Y=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===X.length?m.push(X[0],X[1],X[2],this.opacity):(m.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],x.push(Z[0],Z[1]),B?b.push(B[Y]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[Y=G[U]];for(var W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t}for(U=0;U<2;++U)j=n[Y=G[U]],p.push(j[0],j[1],j[2]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],v.push(Z[0],Z[1]),g.push(R);q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[Y=G[U]],W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t;for(U=0;U<3;++U){var Y,X,Z,K;j=n[Y=G[2-U]],i.push(j[0],j[1],j[2]),(X=S?S[Y]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],u.push(Z[0],Z[1]),K=w?w[Y]:T[R],l.push(K[0],K[1],K[2]),h.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(m),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(l(c,s.view,s.model),l(c,s.projection,c),u(c,c),o=0;o<3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>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*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.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.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],u=this.positions[r[1]],c=this.positions[r[2]],f=[(l[0]+u[0]+c[0])/3,(l[1]+u[1]+c[1])/3,(l[2]+u[2]+c[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=v(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.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()},t.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\")))throw new Error(\"derivatives not supported\");var r=function(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=M(t),u=S(t),f=E(t),h=L(t),p=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),v=i(t),m=i(t),x=i(t),b=i(t),_=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),k=i(t),A=i(t),C=i(t),P=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:A,type:t.FLOAT,size:2}]),O=i(t),I=i(t),D=i(t),z=i(t),R=i(t),F=a(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:I,type:t.FLOAT,size:4},{buffer:D,type:t.FLOAT,size:2},{buffer:z,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,u,f,h,d,b,v,m,x,_,w,C,k,A,P,O,R,I,D,z,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},4554:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,u=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3016:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(5827),i=r(5158),a=r(5070),o=r(2709);function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var u,c,f,h,p,d=s.prototype;d.draw=(u=[0,0],c=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,v=0;v<2;++v){var g=a[v],y=a[v+2]-g,m=.5*(o[v+2]+o[v]),x=o[v+2]-o[v];c[v]=2*y/x,u[v]=2*(g-m)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=u,r.uniforms.dataScale=c;var b=0;for(v=0;v<2;++v){f[0]=f[1]=0,f[v]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[v]/(s[v+2]-s[v])*d,r.uniforms.color=h[v];var _=6*n[v].length;p[v]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,v=s.viewBox,g=s.pixelRatio,y=s.screenBox,m=y[2]-y[0],x=y[3]-y[1],b=v[2]-v[0],_=v[3]-v[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/m,t[0]*=b/m,e[1]*=_/x,t[1]*=_/x,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var S=c.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,O=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),I=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),D=0+6*O,z=6*Math.max(0,I-O),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(v[0]-E[1])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[1]*g/m,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[1]-E[0])/x-1,o[0]=L[0]*g/m,o[1]=E[0]*g/x,z&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z)),i[0]=2*(v[2]+E[3])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[3]*g/m,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[3]+E[2])/x-1,o[0]=L[2]*g/m,o[1]=E[2]*g/x,z&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],u=r[o],c=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-u)/(c-u);s.push(d);for(var v=0;v<6;++v)n[i++]=d,n[i++]=h[v],n[i++]=p[v]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},1154:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,u=this.shader,c=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,u.uniforms.start=s,u.uniforms.end=l,u.uniforms.width=i*o.pixelRatio,u.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2709:function(t,e,r){\"use strict\";var n=r(6832),i=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\"]);t.exports={lineVert:n([\"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:i,textVert:n([\"#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:i,gridVert:n([\"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:i,boxVert:n([\"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:n([\"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\"])}},5613:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(5827),i=r(5158),a=r(6946),o=r(5070),s=r(2709);function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var u,c,f,h,p,d,v=l.prototype;v.drawTicks=(u=[0,0],c=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,v=e.tickPad,g=e.tickColor,y=e.tickAngle,m=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);u[0]=u[1]=0,u[t]=1,c[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];c[1^t]=M*s[1^t]-1,d[t]&&(c[1^t]-=M*p*v[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.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)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,v=p.text,g=p.font||\"sans-serif\";i=p.fontSize||12;for(var y=1/(u[o+2]-u[o]),m=u[o],x=v.split(\"\\n\"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-m)*y);c.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=c,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},v.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2117:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(2611),i=r(3016),a=r(5613),o=r(1154),s=r(4554);function l(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}var u=l.prototype;function c(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}u.setDirty=function(){this.dirty=this.pickDirty=!0},u.setOverlayDirty=function(){this.dirty=!0},u.nextDepthValue=function(){return this._depthCounter++/65536},u.draw=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){if(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),this.borderColor){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 f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].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 g=this.borderLineEnable,y=this.borderLineWidth,m=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],m[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],m[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],m[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],m[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},u.drawPick=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()}},u.pick=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 f=u[c].pick(a,o,l);if(f)return f}return null}},u.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()},u.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())},u.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()},u.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,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.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=c(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=c(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=c(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=c(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=c(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=c(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,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()},u.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();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.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}},u.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},u.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}}},4296:function(t,e,r){\"use strict\";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];\"distanceLimits\"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(r[0]=e.zoomMin),\"zoomMax\"in e&&(r[1]=e.zoomMax);var u=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:u,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:u.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),\"turntable\"===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,c=\"zoom\"===o,h=!!a.control,p=!!a.alt,v=!!a.shift,g=!!(1&e),y=!!(2&e),m=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!v||g&&!h&&!p&&v)&&u.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!v||y||g&&h&&!p&&!v)&&u.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),c&&g&&!h&&!p&&!v||m||g&&!h&&p&&!v)){var M=-d.zoomSpeed*_/window.innerHeight*(A-u.lastT())*100;u.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),a=n([\"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}\"]),o=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}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},1059:function(t,e,r){\"use strict\";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2321)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(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}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return\"boolean\"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement(\"canvas\"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error(\"webgl not supported\");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,z);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener(\"resize\",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener(\"resize\",N),e.removeEventListener(\"webglcontextlost\",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(b.dispose(),t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=c(e,(function(t,e,r){if(!F._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(I=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var u=0;u<i;++u){var c=E[u];if(L[u]===s){var f=c.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=c,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),O=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),O=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],q=[V[0].slice(),V[1].slice()];function H(){if(!U()){N();var t=F.camera.tick();D.view=F.camera.matrix,O=O||t,I=I||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=F.pixelRatio,C.axes=F.axes,O=O||!!C.dirty,I=I||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],c=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],c[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var v=.05*(i[p]-n[p]);n[p]=n[p]-v,i[p]=i[p]+v}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||q[0][p]!==d[0][p]||q[1][p]!==d[1][p],q[0][p]=d[0][p],q[1][p]=d[1][p];if(I=I||y,O=O||y){if(y){var m=[0,0,0];for(o=0;o<3;++o)m[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:m}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(z[0]=T,z[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,u=t.zFar,c=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,u),n._ortho=!0):(f(i,c,p,l,u),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var v=0;for(d=0;d<3;++d)v=Math.max(v,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/v,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(C=E[o]).axesBounds=d,F.clipToBounds&&(C.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),I&&(I=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(D))}i.end()}}}()),F.axesPixels=a(F.axes,D,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(A.enable&&(M=M||A.isTransparent(),A.draw(D)),S.axes=A,x.object&&S.draw(D),r.disable(r.CULL_FACE),o=0;o<e;++o)(C=E[o]).axes=A,C.pixelRatio=F.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(D),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=z,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(D);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(D)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,u(r),r.disable(r.BLEND)}for(O=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(H(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(O=!0,H())},F},createCamera:n}},8023:function(t,e,r){var n=r(6832);e.pointVertex=n([\"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}\"]),e.pointFragment=n([\"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\"]),e.pickVertex=n([\"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\"]),e.pickFragment=n([\"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\"])},8271:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);function s(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}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)u[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(u),i||a.free(l),o||a.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],u=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(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}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+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]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),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*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){\"use strict\";t.exports=function(t){return t||0===t?t.toString():\"\"}},4123:function(t,e,r){\"use strict\";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(u=0;u<s.positions[l].length;++u)s.positions[l][u]/=r;for(l=0;l<c.positions.length;++l)for(u=0;u<c.positions[l].length;++u)c.positions[l][u]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=c.positions.length;for(l=0;l<h;++l){var p=c.positions[l];for(u=0;u<2;++u)f[0][u]=Math.min(f[0][u],p[u]),f[1][u]=Math.max(f[1][u],p[u])}return a[t]=[s,c,f]};var i={}},9282:function(t,e,r){var n=r(5158),i=r(6832),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 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=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 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=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 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=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),u=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){\"use strict\";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(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}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,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}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=c(a);var o=!0;n(a)&&(a=\"▼\",o=!1);var s=u(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}y.draw=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},y.drawTransparent=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},y.drawPick=function(t){C(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},y.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},y.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]},y.update=function(t){if(\"perspective\"in(t=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(this.projectHasAlpha=!1,\"projectOpacity\"in t){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n<u.length;++n)i[n]=u[n][0],a[n]=u[n][1];var 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float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha 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outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},7307:function(t,e,r){\"use strict\";var n=r(2858),i=r(4020),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,u=t.maxLength||1e3,c=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,l=t[0],u=t[1],c=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=o(a[0],l),v=o(a[1],u),g=o(a[2],c),y=d+1,m=v+1,x=g+1;if(d=s(d,0,f-1),y=s(y,0,f-1),v=s(v,0,h-1),m=s(m,0,h-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||v<0||g<0||y>f-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var D=i[b+w+k],z=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,D,B,P),n.lerp(q,z,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var W=n.create(),Y=n.create();n.lerp(W,V,H,O),n.lerp(Y,q,G,O);var X=n.create();return n.lerp(X,W,Y,I),X}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>b||r<m||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;u<s;u++){var c=t[u],f=c[0],h=c[1],p=c[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),v=l(r),g=l(n),y=Math.min(d,v,g);return isFinite(y)?y:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],I=d(C),D=C;O.push(I);var z=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.length<u&&T(C);){B++;var N=n.clone(I),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,u=0;u<l.length;u++)o=Math.max(o,n.length(l[u]));var c=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,u=[],c=[],f=[],h=[],p=[],d=[],v=0,g=0,y=i.create(),m=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,y=i.create(),n.copy(y,_),y[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<c.length;s++){var v=c[s],g=f.length;for(f=f.concat(v.positions),p=p.concat(v.vectors),d=d.concat(v.vertexIntensity),u=0;u<v.cells.length;u++){var y=v.cells[u],m=[];h.push(m);for(var x=0;x<y.length;x++)m.push(y[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*c*M/S),U};var u=r(9578),c=r(1140).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:\"streamtube\"})}},9054:function(t,e,r){var n=r(5158),i=r(6832),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color — in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don'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\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);e.createShader=function(t){var e=n(t,a,o,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},e.createPickShader=function(t){var e=n(t,a,l,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},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},3754:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||\"jet\",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[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 M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,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=P.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],p(l,t.model,l);var u=P.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 P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},D=T.slice(),z=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=D;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.showSurface){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=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var v=0;v<this.contourLevels[o].length;++v)v===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==v&&v-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][v]&&(f.uniforms.height=this.contourLevels[o][v],h.draw(r.LINES,this._contourCounts[o][v],this._contourOffsets[o][v]))}for(h.unbind(),(h=this._dynamicVAO).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=A[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:T,view:T,projection:T,inverseModel:T,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(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 j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}L.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||T,r.view=t.view||T,r.projection=t.projection||T,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=z;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 o=O(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=A[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=A[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var u=0;u<this.contourLevels[a].length;++u)this._contourCounts[a][u]&&(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},L.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 f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][m[x]],_=this.contourLevels[x][m[x]+1];Math.abs(b-u[x])>Math.abs(_-u[x])&&(m[x]+=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],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=B(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=B(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=B(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=j(t.contourColor)),\"contourProject\"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=j(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));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 i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(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 m=this._field,x=f(s.mallocFloat(3*m[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),m[o],\"mirror\");var b=f(s.mallocFloat(3*m[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 _=x.get(0,o,y,0),w=x.get(0,o,y,1),T=x.get(1,o,y,0),A=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=T*S-A*M,L=M*w-S*_,C=_*A-w*T,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,y,0,E*P),b.set(o,y,1,L*P),b.set(o,y,2,C*P)}s.free(x.data);var O=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],D=1/0,z=-1/0,R=(a[0]-1)*(a[1]-1)*6,F=s.mallocFloat(n.nextPow2(10*R)),N=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+y+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var W=o+k[H][0],Y=y+k[H][1],X=this._field[0].get(W+1,Y+1),Z=this._field[1].get(W+1,Y+1);G=this._field[2].get(W+1,Y+1),E=b.get(W+1,Y+1,0),L=b.get(W+1,Y+1,1),C=b.get(W+1,Y+1,2),t.intensity&&(K=t.intensity.get(W,Y));var K=t.intensity?t.intensity.get(W,Y):G+this.objectOffset[2];F[N++]=W,F[N++]=Y,F[N++]=X,F[N++]=Z,F[N++]=G,F[N++]=0,F[N++]=K,F[N++]=E,F[N++]=L,F[N++]=C,O[0]=Math.min(O[0],X+this.objectOffset[0]),O[1]=Math.min(O[1],Z+this.objectOffset[1]),O[2]=Math.min(O[2],G+this.objectOffset[2]),D=Math.min(D,K),I[0]=Math.max(I[0],X+this.objectOffset[0]),I[1]=Math.max(I[1],Z+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),z=Math.max(z,K),U+=1}}for(t.intensityBounds&&(D=+t.intensityBounds[0],z=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-D)/(z-D);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(b.data),this.bounds=[O,I],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===D&&this.intensityBounds[1]===z||(r=!0),this.intensityBounds=[D,z]}if(\"levels\"in t){var J=t.levels;for(J=Array.isArray(J[0])?J.slice():[[],[],J],o=0;o<3;++o)J[o]=J[o].slice(),J[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<J[o].length;++y)J[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(J[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<J[o].length;++y)if(J[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=J}if(r){m=this._field,a=this.shape;for(var $=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[Q],tt[o]);et.push($.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(H=0;H<2;++H){var ot=it.positions[at[H]],st=ot[0],lt=0|Math.floor(st),ut=st-lt,ct=ot[1],ft=0|Math.floor(ct),ht=ct-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var vt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ut:1-ut;for(W=0|Math.min(Math.max(lt+V,0),a[0]),q=0;q<2;++q){var yt=q?ht:1-ht;if(Y=0|Math.min(Math.max(ft+q,0),a[1]),G=dt<2?this._field[vt].get(W,Y):(this.intensity.get(W,Y)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var mt=gt*yt;nt[dt]+=mt*G}}}if(pt){if(H>0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.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)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(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=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<v.length;++e)for(var y=v[e],m=0;m<2;++m){var x=g[y[m]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,O=T*L,I=T*E,D=C*f.get(_,M)+P*f.get(_,S)+O*f.get(w,M)+I*f.get(w,S),z=C*p.get(_,M)+P*p.get(_,S)+O*p.get(w,M)+I*p.get(w,S);if(isNaN(D)||isNaN(z)){m&&(n-=1);break}a[2*n+0]=D,a[2*n+1]=z,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},8931:function(t,e,r){\"use strict\";var n=r(5050),i=r(7498),a=r(5306);t.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");if(o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t),\"number\"==typeof arguments[1])return g(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new h(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=d(o,e.stride.slice()),u=0;\"float32\"===r?u=t.FLOAT:\"float64\"===r?(u=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}}u!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);\"float32\"!==r&&\"float64\"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function u(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}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<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 h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(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 v(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 g(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 o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(\"gl-texture2d: Invalid texture shape\")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l)this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l);else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,u,f){var h=f.dtype,p=f.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var v=0,g=0,y=d(p,f.stride.slice());if(\"float32\"===h?v=t.FLOAT:\"float64\"===h?(v=t.FLOAT,y=!1,h=\"float32\"):\"uint8\"===h?v=t.UNSIGNED_BYTE:(v=t.UNSIGNED_BYTE,y=!1,h=\"uint8\"),2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],f=n(f.data,p,[f.stride[0],f.stride[1],1],f.offset);else{if(3!==p.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===p[2])g=t.ALPHA;else if(2===p[2])g=t.LUMINANCE_ALPHA;else if(3===p[2])g=t.RGB;else{if(4!==p[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}p[2]}if(g!==t.LUMINANCE&&g!==t.ALPHA||s!==t.LUMINANCE&&s!==t.ALPHA||(g=s),g!==s)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var m=f.size,x=u.indexOf(o)<0;if(x&&u.push(o),v===l&&y)0===f.offset&&f.data.length===m?x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,f.data):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,f.data):x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,f.data.subarray(f.offset,f.offset+m)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,f.data.subarray(f.offset,f.offset+m));else{var b;b=l===t.FLOAT?a.mallocFloat32(m):a.mallocUint8(m);var _=n(b,p,[p[2],p[2]*p[0],1]);v===t.FLOAT&&l===t.UNSIGNED_BYTE?c(_,f):i.assign(_,f),x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,b.subarray(0,m)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,b.subarray(0,m)),l===t.FLOAT?a.freeFloat32(b):a.freeUint8(b)}}(s,e,r,o,this.format,this.type,this._mipLevels,t)}}},3056:function(t){\"use strict\";t.exports=function(t,e,r){e?e.bind():t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null);var n=0|t.getParameter(t.MAX_VERTEX_ATTRIBS);if(r){if(r.length>n)throw new Error(\"gl-vao: Too many vertex attributes\");for(var i=0;i<r.length;++i){var a=r[i];if(a.buffer){var o=a.buffer,s=a.size||4,l=a.type||t.FLOAT,u=!!a.normalized,c=a.stride||0,f=a.offset||0;o.bind(),t.enableVertexAttribArray(i),t.vertexAttribPointer(i,s,l,u,c,f)}else{if(\"number\"==typeof a)t.vertexAttrib1f(i,a);else if(1===a.length)t.vertexAttrib1f(i,a[0]);else if(2===a.length)t.vertexAttrib2f(i,a[0],a[1]);else if(3===a.length)t.vertexAttrib3f(i,a[0],a[1],a[2]);else{if(4!==a.length)throw new Error(\"gl-vao: Invalid vertex attribute\");t.vertexAttrib4f(i,a[0],a[1],a[2],a[3])}t.disableVertexAttribArray(i)}}for(;i<n;++i)t.disableVertexAttribArray(i)}else for(t.bindBuffer(t.ARRAY_BUFFER,null),i=0;i<n;++i)t.disableVertexAttribArray(i)}},7220:function(t,e,r){\"use strict\";var n=r(3056);function i(t){this.gl=t,this._elements=null,this._attributes=null,this._elementsType=t.UNSIGNED_SHORT}i.prototype.bind=function(){n(this.gl,this._elements,this._attributes)},i.prototype.update=function(t,e,r){this._elements=e,this._attributes=t,this._elementsType=r||this.gl.UNSIGNED_SHORT},i.prototype.dispose=function(){},i.prototype.unbind=function(){},i.prototype.draw=function(t,e,r){r=r||0;var n=this.gl;this._elements?n.drawElements(t,e,this._elementsType,r):n.drawArrays(t,r,e)},t.exports=function(t){return new i(t)}},3778:function(t,e,r){\"use strict\";var n=r(3056);function i(t,e,r,n,i,a){this.location=t,this.dimension=e,this.a=r,this.b=n,this.c=i,this.d=a}function 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strict\";t.exports=function(t,e,r,n,i,a,o,s,l,u){var c=e+a+u;if(f>0){var f=Math.sqrt(c+1);t[0]=.5*(o-l)/f,t[1]=.5*(s-n)/f,t[2]=.5*(r-a)/f,t[3]=.5*f}else{var h=Math.max(e,a,u);f=Math.sqrt(2*h-c+1),e>=h?(t[0]=.5*f,t[1]=.5*(i+r)/f,t[2]=.5*(s+n)/f,t[3]=.5*(o-l)/f):a>=h?(t[0]=.5*(r+i)/f,t[1]=.5*f,t[2]=.5*(l+o)/f,t[3]=.5*(s-n)/f):(t[0]=.5*(n+s)/f,t[1]=.5*(o+l)/f,t[2]=.5*f,t[3]=.5*(r-i)/f)}return t}},7774:function(t,e,r){\"use strict\";t.exports=function(t){var e=(t=t||{}).center||[0,0,0],r=t.rotation||[0,0,0,1],n=t.radius||1;e=[].slice.call(e,0,3),c(r=[].slice.call(r,0,4),r);var i=new f(r,e,Math.log(n));return i.setDistanceLimits(t.zoomMin,t.zoomMax),(\"eye\"in t||\"up\"in t)&&i.lookAt(0,t.eye,t.center,t.up),i};var n=r(8444),i=r(3012),a=r(5950),o=r(7437),s=r(567);function l(t,e,r){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2))}function u(t,e,r,n){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2)+Math.pow(n,2))}function c(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=u(r,n,i,a);o>1e-6?(t[0]=r/o,t[1]=n/o,t[2]=i/o,t[3]=a/o):(t[0]=t[1]=t[2]=0,t[3]=1)}function f(t,e,r){this.radius=n([r]),this.center=n(e),this.rotation=n(t),this.computedRadius=this.radius.curve(0),this.computedCenter=this.center.curve(0),this.computedRotation=this.rotation.curve(0),this.computedUp=[.1,0,0],this.computedEye=[.1,0,0],this.computedMatrix=[.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],this.recalcMatrix(0)}var h=f.prototype;h.lastT=function(){return Math.max(this.radius.lastT(),this.center.lastT(),this.rotation.lastT())},h.recalcMatrix=function(t){this.radius.curve(t),this.center.curve(t),this.rotation.curve(t);var e=this.computedRotation;c(e,e);var r=this.computedMatrix;a(r,e);var n=this.computedCenter,i=this.computedEye,o=this.computedUp,s=Math.exp(this.computedRadius[0]);i[0]=n[0]+s*r[2],i[1]=n[1]+s*r[6],i[2]=n[2]+s*r[10],o[0]=r[1],o[1]=r[5],o[2]=r[9];for(var l=0;l<3;++l){for(var 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Sr=function(t,e){this.type=Xt,this.needle=t,this.haystack=e};Sr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Jt),n=e.parse(t[2],2,Jt);return r&&n?ae(r.type,[Xt,Yt,Wt,Gt,Jt])?new Sr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(r.type)+\" instead\"):null},Sr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!oe(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new xe(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(ge(e))+\" instead.\");if(!oe(r,[\"string\",\"array\"]))throw new xe(\"Expected second argument to be of type array or string, but found \"+re(ge(r))+\" instead.\");return r.indexOf(e)>=0},Sr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},Sr.prototype.outputDefined=function(){return!0},Sr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var Er=function(t,e,r){this.type=Wt,this.needle=t,this.haystack=e,this.fromIndex=r};Er.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Jt),n=e.parse(t[2],2,Jt);if(!r||!n)return null;if(!ae(r.type,[Xt,Yt,Wt,Gt,Jt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Wt);return i?new Er(r,n,i):null}return new Er(r,n)},Er.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!oe(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new xe(\"Expected first argument to be of type boolean, string, number or 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e={color:Zt,string:Yt,number:Wt,enum:Yt,boolean:Xt,formatted:Qt,resolvedImage:te};return\"array\"===t.type?ee(e[t.value]||Jt,t.length):e[t.type]}(e):void 0),n=r.parse(t,void 0,void 0,void 0,e&&\"string\"===e.type?{typeAnnotation:\"coerce\"}:void 0);return n?Xr(new un(n,e)):Zr(r.errors)}un.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._evaluator.globals=t,this._evaluator.feature=e,this._evaluator.featureState=r,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a,this.expression.evaluate(this._evaluator)},un.prototype.evaluate=function(t,e,r,n,i,a){this._evaluator.globals=t,this._evaluator.feature=e||null,this._evaluator.featureState=r||null,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a||null;try{var o=this.expression.evaluate(this._evaluator);if(null==o||\"number\"==typeof o&&o!=o)return this._defaultValue;if(this._enumValues&&!(o in this._enumValues))throw new xe(\"Expected value to be one of \"+Object.keys(this._enumValues).map((function(t){return JSON.stringify(t)})).join(\", \")+\", but found \"+JSON.stringify(o)+\" instead.\");return o}catch(t){return this._warningHistory[t.message]||(this._warningHistory[t.message]=!0,\"undefined\"!=typeof console&&console.warn(t.message)),this._defaultValue}};var hn=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!Xe(e.expression)};hn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},hn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)};var pn=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!Xe(e.expression),this.interpolationType=n};function dn(t,e){if(\"error\"===(t=fn(t,e)).result)return t;var r=t.value.expression,n=Ye(r);if(!n&&!Kr(e))return Zr([new qt(\"\",\"data expressions not supported\")]);var i=Ze(r,[\"zoom\"]);if(!i&&!Jr(e))return Zr([new qt(\"\",\"zoom expressions not supported\")]);var a=gn(r);if(!a&&!i)return Zr([new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')]);if(a instanceof qt)return Zr([a]);if(a instanceof wr&&!$r(e))return Zr([new qt(\"\",'\"interpolate\" expressions cannot be used with this property')]);if(!a)return Xr(new hn(n?\"constant\":\"source\",t.value));var o=a instanceof wr?a.interpolation:void 0;return Xr(new pn(n?\"camera\":\"composite\",t.value,a.labels,o))}pn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},pn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},pn.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?wr.interpolationFactor(this.interpolationType,t,e,r):0};var vn=function(t,e){this._parameters=t,this._specification=e,jt(this,rn(this._parameters,this._specification))};function gn(t){var e=null;if(t instanceof Ar)e=gn(t.result);else if(t instanceof kr)for(var r=0,n=t.args;r<n.length;r+=1){var i=n[r];if(e=gn(i))break}else(t instanceof tr||t instanceof wr)&&t.input instanceof Ee&&\"zoom\"===t.input.name&&(e=t);return e instanceof qt||t.eachChild((function(t){var r=gn(t);r instanceof qt?e=r:!e&&r?e=new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.'):e&&r&&e!==r&&(e=new qt(\"\",'Only one zoom-based \"step\" or \"interpolate\" subexpression may be used in an expression.'))})),e}function yn(t){var e=t.key,r=t.value,n=t.valueSpec||{},i=t.objectElementValidators||{},a=t.style,o=t.styleSpec,s=[],l=Qr(r);if(\"object\"!==l)return[new Bt(e,r,\"object expected, \"+l+\" found\")];for(var u in r){var c=u.split(\".\")[0],f=n[c]||n[\"*\"],h=void 0;if(i[c])h=i[c];else if(n[c])h=Hn;else if(i[\"*\"])h=i[\"*\"];else{if(!n[\"*\"]){s.push(new Bt(e,r[u],'unknown property \"'+u+'\"'));continue}h=Hn}s=s.concat(h({key:(e?e+\".\":e)+u,value:r[u],valueSpec:f,style:a,styleSpec:o,object:r,objectKey:u},r))}for(var p in n)i[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new Bt(e,r,'missing required property \"'+p+'\"'));return s}function mn(t){var e=t.value,r=t.valueSpec,n=t.style,i=t.styleSpec,a=t.key,o=t.arrayElementValidator||Hn;if(\"array\"!==Qr(e))return[new Bt(a,e,\"array expected, \"+Qr(e)+\" found\")];if(r.length&&e.length!==r.length)return[new Bt(a,e,\"array length \"+r.length+\" expected, length \"+e.length+\" found\")];if(r[\"min-length\"]&&e.length<r[\"min-length\"])return[new Bt(a,e,\"array length at least \"+r[\"min-length\"]+\" expected, length \"+e.length+\" found\")];var s={type:r.value,values:r.values};i.$version<7&&(s.function=r.function),\"object\"===Qr(r.value)&&(s=r.value);for(var l=[],u=0;u<e.length;u++)l=l.concat(o({array:e,arrayIndex:u,value:e[u],valueSpec:s,style:n,styleSpec:i,key:a+\"[\"+u+\"]\"}));return l}function xn(t){var e=t.key,r=t.value,n=t.valueSpec,i=Qr(r);return\"number\"===i&&r!=r&&(i=\"NaN\"),\"number\"!==i?[new Bt(e,r,\"number expected, \"+i+\" found\")]:\"minimum\"in n&&r<n.minimum?[new Bt(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Bt(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function bn(t){var e,r,n,i=t.valueSpec,a=Ut(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,u=\"array\"===Qr(t.value.stops)&&\"array\"===Qr(t.value.stops[0])&&\"object\"===Qr(t.value.stops[0][0]),c=yn({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Bt(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(mn({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Qr(r)&&0===r.length&&e.push(new Bt(t.key,r,\"array must have at least one stop\")),e},default:function(t){return Hn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&c.push(new Bt(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||c.push(new Bt(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!$r(t.valueSpec)&&c.push(new Bt(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!Kr(t.valueSpec)?c.push(new Bt(t.key,t.value,\"property functions not supported\")):s&&!Jr(t.valueSpec)&&c.push(new Bt(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!u||void 0!==t.value.property||c.push(new Bt(t.key,t.value,'\"property\" property is required')),c;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Qr(a))return[new Bt(s,a,\"array expected, \"+Qr(a)+\" found\")];if(2!==a.length)return[new Bt(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(u){if(\"object\"!==Qr(a[0]))return[new Bt(s,a,\"object expected, \"+Qr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Bt(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Bt(s,a,\"object stop key must have value\")];if(n&&n>Ut(a[0].zoom))return[new Bt(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ut(a[0].zoom)!==n&&(n=Ut(a[0].zoom),r=void 0,o={}),e=e.concat(yn({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:xn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return cn(Vt(a[1]))?e.concat([new Bt(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(Hn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Qr(t.value),l=Ut(t.value),u=null!==t.value?t.value:n;if(e){if(s!==e)return[new Bt(t.key,u,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Bt(t.key,u,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var c=\"number expected, \"+s+\" found\";return Kr(i)&&void 0===a&&(c+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Bt(t.key,u,c)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Bt(t.key,u,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Bt(t.key,u,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Bt(t.key,u,\"integer expected, found \"+l)]}}function _n(t){var e=(\"property\"===t.expressionContext?dn:fn)(Vt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Bt(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new Bt(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!Xe(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Xe(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Ze(r,[\"zoom\",\"feature-state\"]))return[new Bt(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Ye(r))return[new Bt(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function wn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+n.values.join(\", \")+\"], \"+JSON.stringify(r)+\" found\")):-1===Object.keys(n.values).indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+Object.keys(n.values).join(\", \")+\"], \"+JSON.stringify(r)+\" found\")),i}function Tn(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case\"has\":return t.length>=2&&\"$id\"!==t[1]&&\"$type\"!==t[1];case\"in\":return t.length>=3&&(\"string\"!=typeof t[1]||Array.isArray(t[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\"any\":case\"all\":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!Tn(n)&&\"boolean\"!=typeof n)return!1}return!0;default:return!0}}vn.deserialize=function(t){return new vn(t._parameters,t._specification)},vn.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var kn={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function An(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};Tn(t)||(t=En(t));var e=fn(t,kn);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:Sn(t)}}function Mn(t,e){return t<e?-1:t>e?1:0}function Sn(t){if(!Array.isArray(t))return!1;if(\"within\"===t[0])return!0;for(var e=1;e<t.length;e++)if(Sn(t[e]))return!0;return!1}function En(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?Ln(t[1],t[2],\"==\"):\"!=\"===r?On(Ln(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Ln(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(En))):\"all\"===r?[\"all\"].concat(t.slice(1).map(En)):\"none\"===r?[\"all\"].concat(t.slice(1).map(En).map(On)):\"in\"===r?Cn(t[1],t.slice(2)):\"!in\"===r?On(Cn(t[1],t.slice(2))):\"has\"===r?Pn(t[1]):\"!has\"===r?On(Pn(t[1])):\"within\"!==r||t}function Ln(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function Cn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(Mn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function Pn(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function On(t){return[\"!\",t]}function In(t){return Tn(Vt(t.value))?_n(jt({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):Dn(t)}function Dn(t){var e=t.value,r=t.key;if(\"array\"!==Qr(e))return[new Bt(r,e,\"array expected, \"+Qr(e)+\" found\")];var n,i=t.styleSpec,a=[];if(e.length<1)return[new Bt(r,e,\"filter array must have at least 1 element\")];switch(a=a.concat(wn({key:r+\"[0]\",value:e[0],valueSpec:i.filter_operator,style:t.style,styleSpec:t.styleSpec})),Ut(e[0])){case\"<\":case\"<=\":case\">\":case\">=\":e.length>=2&&\"$type\"===Ut(e[1])&&a.push(new Bt(r,e,'\"$type\" cannot be use with operator \"'+e[0]+'\"'));case\"==\":case\"!=\":3!==e.length&&a.push(new Bt(r,e,'filter array for operator \"'+e[0]+'\" must have 3 elements'));case\"in\":case\"!in\":e.length>=2&&\"string\"!==(n=Qr(e[1]))&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));for(var o=2;o<e.length;o++)n=Qr(e[o]),\"$type\"===Ut(e[1])?a=a.concat(wn({key:r+\"[\"+o+\"]\",value:e[o],valueSpec:i.geometry_type,style:t.style,styleSpec:t.styleSpec})):\"string\"!==n&&\"number\"!==n&&\"boolean\"!==n&&a.push(new Bt(r+\"[\"+o+\"]\",e[o],\"string, number, or boolean expected, \"+n+\" found\"));break;case\"any\":case\"all\":case\"none\":for(var s=1;s<e.length;s++)a=a.concat(Dn({key:r+\"[\"+s+\"]\",value:e[s],style:t.style,styleSpec:t.styleSpec}));break;case\"has\":case\"!has\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"string\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));break;case\"within\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"object\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"object expected, \"+n+\" found\"))}return a}function zn(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Hn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var u,c=t.valueSpec||s[o];if(!c)return[new Bt(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Qr(a)&&Kr(c)&&!c.tokens&&(u=/^{([^}]+)}$/.exec(a)))return[new Bt(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(u[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new Bt(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&tn(Vt(a))&&\"identity\"===Ut(a.type)&&f.push(new Bt(r,a,'\"text-font\" does not support identity 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h=i.sources&&i.sources[r.source],p=h&&Ut(h.type);h?\"vector\"===p&&\"raster\"===s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new Bt(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&h.lineMetrics||e.push(new Bt(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new Bt(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new Bt(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new Bt(n,r,'missing required property \"source\"'));return 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Arrows\"](t)&&(t>=11026&&t<=11055||t>=11088&&t<=11097||t>=11192&&t<=11243)||pi[\"CJK Symbols and Punctuation\"](t)||pi.Katakana(t)||pi[\"Private Use Area\"](t)||pi[\"CJK Compatibility Forms\"](t)||pi[\"Small Form Variants\"](t)||pi[\"Halfwidth and Fullwidth Forms\"](t)||8734===t||8756===t||8757===t||t>=9984&&t<=10087||t>=10102&&t<=10131||65532===t||65533===t)}(t))}function yi(t){return pi.Arabic(t)||pi[\"Arabic Supplement\"](t)||pi[\"Arabic Extended-A\"](t)||pi[\"Arabic Presentation Forms-A\"](t)||pi[\"Arabic Presentation Forms-B\"](t)}function mi(t){return t>=1424&&t<=2303||pi[\"Arabic Presentation Forms-A\"](t)||pi[\"Arabic Presentation Forms-B\"](t)}function xi(t,e){return!(!e&&mi(t)||t>=2304&&t<=3583||t>=3840&&t<=4255||pi.Khmer(t))}function bi(t){for(var e=0,r=t;e<r.length;e+=1)if(mi(r[e].charCodeAt(0)))return!0;return!1}var _i=\"deferred\",wi=\"loading\",Ti=\"loaded\",ki=\"error\",Ai=null,Mi=\"unavailable\",Si=null,Ei=function(t){t&&\"string\"==typeof t&&t.indexOf(\"NetworkError\")>-1&&(Mi=ki),Ai&&Ai(t)};function Li(){Ci.fire(new Dt(\"pluginStateChange\",{pluginStatus:Mi,pluginURL:Si}))}var Ci=new Rt,Pi=function(){return Mi},Oi=function(){if(Mi!==_i||!Si)throw new Error(\"rtl-text-plugin cannot be downloaded unless a pluginURL is specified\");Mi=wi,Li(),Si&&Mt({url:Si},(function(t){t?Ei(t):(Mi=Ti,Li())}))},Ii={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return Mi===Ti||null!=Ii.applyArabicShaping},isLoading:function(){return Mi===wi},setState:function(t){Mi=t.pluginStatus,Si=t.pluginURL},isParsed:function(){return null!=Ii.applyArabicShaping&&null!=Ii.processBidirectionalText&&null!=Ii.processStyledBidirectionalText},getPluginURL:function(){return Si}},Di=function(t,e){this.zoom=t,e?(this.now=e.now,this.fadeDuration=e.fadeDuration,this.zoomHistory=e.zoomHistory,this.transition=e.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new hi,this.transition={})};Di.prototype.isSupportedScript=function(t){return function(t,e){for(var r=0,n=t;r<n.length;r+=1)if(!xi(n[r].charCodeAt(0),e))return!1;return!0}(t,Ii.isLoaded())},Di.prototype.crossFadingFactor=function(){return 0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},Di.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var zi=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(tn(t))return new vn(t,e);if(cn(t)){var r=dn(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=ue.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};zi.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},zi.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var Ri=function(t){this.property=t,this.value=new zi(t,void 0)};Ri.prototype.transitioned=function(t,e){return new Bi(this.property,this.value,e,p({},t.transition,this.transition),t.now)},Ri.prototype.untransitioned=function(){return new Bi(this.property,this.value,null,{},0)};var Fi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};Fi.prototype.getValue=function(t){return w(this._values[t].value.value)},Fi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].value=new zi(this._values[t].property,null===e?void 0:w(e))},Fi.prototype.getTransition=function(t){return w(this._values[t].transition)},Fi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].transition=w(e)||void 0},Fi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},Fi.prototype.transitioned=function(t,e){for(var r=new Ni(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},Fi.prototype.untransitioned=function(){for(var t=new Ni(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var Bi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};Bi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var Ni=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ni.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},Ni.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var ji=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ji.prototype.getValue=function(t){return w(this._values[t].value)},ji.prototype.setValue=function(t,e){this._values[t]=new zi(this._values[t].property,null===e?void 0:w(e))},ji.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},ji.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var Ui=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Ui.prototype.isConstant=function(){return\"constant\"===this.value.kind},Ui.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},Ui.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var Vi=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};Vi.prototype.get=function(t){return this._values[t]};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},qi.prototype.interpolate=function(t,e,r){var n=rr[this.specification.type];return n?n(t,e,r):t};var Hi=function(t,e){this.specification=t,this.overrides=e};Hi.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Ui(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Ui(this,t.expression,e)},Hi.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Ui(this,{kind:\"constant\",value:void 0},t.parameters);var n=rr[this.specification.type];return n?new Ui(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Hi.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new Ui(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new Ui(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new Ui(this,{kind:\"constant\",value:s},e)}return new Ui(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Hi),Wi=function(t){this.specification=t};Wi.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return 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Vi(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate($n,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return x(t,Zi)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Jn,n,t,e,r))return!1}if(x(t,Zi))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),_(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Qn(this,t.call(Zn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Ft,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof Ui&&Kr(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(Rt),Ji={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},$i=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Qi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function ta(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Ji[i].BYTES_PER_ELEMENT),o=r=ea(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:ea(r,Math.max(n,e)),alignment:e}}function ea(t,e){return Math.ceil(t/e)*e}Qi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Qi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Qi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Qi.prototype.clear=function(){this.length=0},Qi.prototype.resize=function(t){this.reserve(t),this.length=t},Qi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new 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this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Qi);ia.prototype.bytesPerElement=12,oi(\"StructArrayLayout2i4i12\",ia);var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Qi);aa.prototype.bytesPerElement=8,oi(\"StructArrayLayout2i4ub8\",aa);var oa=function(t){function e(){t.apply(this,arguments)}return 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this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}($i);Ma.prototype.size=48;var Sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Ma(this,t)},e}(ga);oi(\"PlacedSymbolArray\",Sa);var Ea=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var 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r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return 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s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},so.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},so.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},so.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=f(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},so.prototype.getBinding=function(t,e,r){return new Ka(t,e)};var lo=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};lo.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},lo.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},lo.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],u=n[o];if(s&&l&&u)for(var c=t;c<e;c++)this.zoomInPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],u.tl[0],u.tl[1],u.br[0],u.br[1],l.pixelRatio,u.pixelRatio)}},lo.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Fa.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Fa.members,this.expression.isStateDependent))},lo.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var uo=function(t,e,r){this.binders={},this._buffers=[];var n=[];for(var i in t.paint._values)if(r(i)){var a=t.paint.get(i);if(a 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instanceof ao&&n.setConstantPatternPositions(t,e)}},uo.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var u=l[s],c=r.feature(u.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof oo||h instanceof so||h instanceof lo)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(u.start,u.end,c,t[o],i),a=!0}}}return a},uo.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof io||r instanceof ao)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},uo.prototype.getBinderAttributes=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof oo||r instanceof so)for(var n=0;n<r.paintVertexAttributes.length;n++)t.push(r.paintVertexAttributes[n].name);else if(r instanceof lo)for(var i=0;i<Fa.members.length;i++)t.push(Fa.members[i].name)}return t},uo.prototype.getBinderUniforms=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof io||r instanceof ao||r instanceof so)for(var n=0,i=r.uniformNames;n<i.length;n+=1){var a=i[n];t.push(a)}}return t},uo.prototype.getPaintVertexBuffers=function(){return this._buffers},uo.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof io||i instanceof ao||i instanceof so)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},uo.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,u=o.binding;this.binders[l].setUniform(u,n,r.get(l),s)}},uo.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof lo){var 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u=t.readVarint();n=7&u,i=u>>3}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},Ys.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,u=-1/0;t.pos<e;){if(n<=0){var c=t.readVarint();r=7&c,n=c>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>u&&(u=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,u]},Ys.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),u=Ys.types[this.type];function c(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];c(l=f);break;case 2:for(n=0;n<l.length;n++)c(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=Zs(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)c(l[n][i])}1===l.length?l=l[0]:u=\"Multi\"+u;var h={type:\"Feature\",geometry:{type:u,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var Ks=Js;function Js(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields($s,this,e),this.length=this._features.length}function $s(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Qs(t,e,r){if(3===t){var n=new Ks(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Js.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Ws(this._pbf,e,this.extent,this._keys,this._values)};var tl={VectorTile:function(t,e){this.layers=t.readFields(Qs,{},e)},VectorTileFeature:Ws,VectorTileLayer:Ks},el=tl.VectorTileFeature.types,rl=Math.pow(2,13);function nl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*rl)+o,i*rl*2,a*rl*2,Math.round(s))}var il=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new ia,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new za,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function al(t,e){return t.x===e.x&&(t.x<0||t.x>po)||t.y===e.y&&(t.y<0||t.y>po)}il.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=Ns(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,u=a.sourceLayerIndex,c=this.layers[0]._featureFilter.needGeometry,f=mo(o,c);if(this.layers[0]._featureFilter.filter(new Di(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:yo(o),properties:o.properties,type:o.type,patterns:{}};this.hasPattern?this.features.push(js(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,u,this.index,!0)}}},il.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},il.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},il.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},il.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},il.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Gs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},il.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},il.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Fs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].length;for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!((O=d).every((function(t){return t.x<0}))||O.every((function(t){return t.x>po}))||O.every((function(t){return t.y<0}))||O.every((function(t){return t.y>po}))))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!al(y,m)){f.vertexLength+4>za.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(m)._perp()._unit(),b=m.dist(y);v+b>32768&&(v=0),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,1,v);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>za.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===el[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];nl(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=as(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}var O;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},oi(\"FillExtrusionBucket\",il,{omit:[\"layers\",\"features\"]});var ol={paint:new Xi({\"fill-extrusion-opacity\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Gi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},sl=function(t){function e(e){t.call(this,e,ol)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new il(t)},e.prototype.queryRadius=function(){return Io(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var u=Do(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),c=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],u=[l.x,l.y,n,1];qo(u,u,e),i.push(new a(u[0]/u[3],u[1]/u[3]))}return i}(u,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,u=n[10]*e,c=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,v=0,g=t;v<g.length;v+=1){for(var y=[],m=[],x=0,b=g[v];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+u,L=S+c,C=k+f,P=A+h,O=M+p,I=S+d,D=new a((k+s)/L,(A+l)/L);D.z=E/L,y.push(D);var z=new a(C/I,P/I);z.z=O/I,m.push(z)}i.push(y),o.push(m)}return[i,o]}(n,f,c,l);return function(t,e,r){var n=1/0;To(r,e)&&(n=ul(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],u=a[s+1],c=o[s],f=[l,u,o[s+1],c,l];_o(r,f)&&(n=Math.min(n,ul(r,f)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ki);function ll(t,e){return t.x*e.x+t.y*e.y}function ul(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),u=o.sub(i),c=ll(s,s),f=ll(s,l),h=ll(l,l),p=ll(u,s),d=ll(u,l),v=c*h-f*f,g=(h*p-f*d)/v,y=(c*d-f*p)/v,m=1-g-y,x=i.z*m+r.z*g+a.z*y;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var cl=ta([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,fl=ta([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]).members,hl=tl.VectorTileFeature.types,pl=Math.cos(Math.PI/180*37.5),dl=Math.pow(2,14)/.5,vl=function(t){var e=this;this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach((function(t){e.gradients[t.id]={}})),this.layoutVertexArray=new aa,this.layoutVertexArray2=new oa,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new za,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};vl.prototype.populate=function(t,e,r){this.hasPattern=Ns(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p=mo(l,h);if(this.layers[0]._featureFilter.filter(new Di(this.zoom),p,r)){var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:h?p.geometry:yo(l),patterns:{},sortKey:d};i.push(v)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=js(\"line\",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},vl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},vl.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},vl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},vl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},vl.prototype.upload=function(t){this.uploaded||(0!==this.layoutVertexArray2.length&&(this.layoutVertexBuffer2=t.createVertexBuffer(this.layoutVertexArray2,fl)),this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,cl),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},vl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},vl.prototype.lineFeatureClips=function(t){if(t.properties&&t.properties.hasOwnProperty(\"mapbox_clip_start\")&&t.properties.hasOwnProperty(\"mapbox_clip_end\"))return{start:+t.properties.mapbox_clip_start,end:+t.properties.mapbox_clip_end}},vl.prototype.addFeature=function(t,e,r,n,i){var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),u=a.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(t);for(var c=0,f=e;c<f.length;c+=1){var h=f[c];this.addLine(h,t,o,s,l,u)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},vl.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}for(var s=\"Polygon\"===hl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var u=0;u<l-1&&t[u].equals(t[u+1]);)u++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var c,f=this.overscaling<=16?15*po/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,v=void 0,g=void 0;this.e1=this.e2=-1,s&&(c=t[l-2],g=t[u].sub(c)._unit()._perp());for(var y=u;y<l;y++)if(!(d=y===l-1?s?t[u+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(v=g),c&&(p=c),c=t[y],g=d?d.sub(c)._unit()._perp():v;var m=(v=v||g).add(g);0===m.x&&0===m.y||m._unit();var x=v.x*g.x+v.y*g.y,b=m.x*g.x+m.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<pl&&p&&d,k=v.x*g.y-v.y*g.x>0;if(T&&y>u){var A=c.dist(p);if(A>2*f){var M=c.sub(c.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,v,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,c),\"miter\"===E)m._mult(_),this.addCurrentVertex(c,m,0,0,h);else if(\"flipbevel\"===E){if(_>100)m=g.mult(-1);else{var L=_*v.add(g).mag()/v.sub(g).mag();m._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(c,m,0,0,h),this.addCurrentVertex(c,m.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,O=k?0:C;if(p&&this.addCurrentVertex(c,v,P,O,h),\"fakeround\"===E)for(var I=Math.round(180*w/Math.PI/20),D=1;D<I;D++){var z=D/I;if(.5!==z){var R=z-.5;z+=z*R*(z-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(v)._mult(z)._add(v)._unit()._mult(k?-1:1);this.addHalfVertex(c,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(c,g,-P,-O,h)}else if(\"butt\"===E)this.addCurrentVertex(c,m,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(c,m,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(c,v,0,0,h),this.addCurrentVertex(c,v,1,1,h,!0)),d&&(this.addCurrentVertex(c,g,-1,-1,h,!0),this.addCurrentVertex(c,g,0,0,h)));if(T&&y<l-1){var N=c.dist(d);if(N>2*f){var j=c.add(d.sub(c)._mult(f/N)._round());this.updateDistance(c,j),this.addCurrentVertex(j,g,0,0,h),c=j}}}}},vl.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var 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e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==Il.Bytes)return t.push(this.readFixed64());var e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==Il.Bytes)return t.push(this.readSFixed64());var e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===Il.Varint)for(;this.buf[this.pos++]>127;);else if(e===Il.Bytes)this.pos=this.readVarint()+this.pos;else if(e===Il.Fixed32)this.pos+=4;else{if(e!==Il.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),Kl(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),Kl(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),Kl(this.buf,-1&t,this.pos),Kl(this.buf,Math.floor(t*zl),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),Kl(this.buf,-1&t,this.pos),Kl(this.buf,Math.floor(t*zl),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Nl(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),Pl(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),Pl(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Nl(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,Il.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,jl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ul,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,Hl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Vl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,ql,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,Gl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,Wl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,Yl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,Xl,e)},writeBytesField:function(t,e){this.writeTag(t,Il.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,Il.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,Il.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,Il.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,Il.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,Il.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,Il.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,Il.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,Il.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,Il.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var $l=3;function Ql(t,e,r){1===t&&r.readMessage(tu,e)}function tu(t,e,r){if(3===t){var n=r.readMessage(eu,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,u=n.top,c=n.advance;e.push({id:i,bitmap:new Jo({width:o+2*$l,height:s+2*$l},a),metrics:{width:o,height:s,left:l,top:u,advance:c}})}}function eu(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}var ru=$l;function nu(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,u=0,c=t;u<c.length;u+=1)for(var f=c[u],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else f.h===p.h?(p.x+=f.w,p.w-=f.w):f.w===p.w?(p.y+=f.h,p.h-=f.h):(o.push({x:p.x+f.w,y:p.y,w:p.w-f.w,h:f.h}),p.y+=f.h,p.h-=f.h);break}}return{w:s,h:l,fill:e/(s*l)||0}}var iu=1,au=function(t,e){var r=e.pixelRatio,n=e.version,i=e.stretchX,a=e.stretchY,o=e.content;this.paddedRect=t,this.pixelRatio=r,this.stretchX=i,this.stretchY=a,this.content=o,this.version=n},ou={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};ou.tl.get=function(){return[this.paddedRect.x+iu,this.paddedRect.y+iu]},ou.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-iu,this.paddedRect.y+this.paddedRect.h-iu]},ou.tlbr.get=function(){return this.tl.concat(this.br)},ou.displaySize.get=function(){return[(this.paddedRect.w-2*iu)/this.pixelRatio,(this.paddedRect.h-2*iu)/this.pixelRatio]},Object.defineProperties(au.prototype,ou);var su=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var i=[];this.addImages(t,r,i),this.addImages(e,n,i);var a=nu(i),o=a.w,s=a.h,l=new $o({width:o||1,height:s||1});for(var u in t){var c=t[u],f=r[u].paddedRect;$o.copy(c.data,l,{x:0,y:0},{x:f.x+iu,y:f.y+iu},c.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,v=d.x+iu,g=d.y+iu,y=p.data.width,m=p.data.height;$o.copy(p.data,l,{x:0,y:0},{x:v,y:g},p.data),$o.copy(p.data,l,{x:0,y:m-1},{x:v,y:g-1},{width:y,height:1}),$o.copy(p.data,l,{x:0,y:0},{x:v,y:g+m},{width:y,height:1}),$o.copy(p.data,l,{x:y-1,y:0},{x:v-1,y:g},{width:1,height:m}),$o.copy(p.data,l,{x:0,y:0},{x:v+y,y:g},{width:1,height:m})}this.image=l,this.iconPositions=r,this.patternPositions=n};su.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2*iu,h:i.data.height+2*iu};r.push(a),e[n]=new au(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},su.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},su.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},oi(\"ImagePosition\",au),oi(\"ImageAtlas\",su);var lu={horizontal:1,vertical:2,horizontalOnly:3},uu=-17;var cu=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};cu.forText=function(t,e){var r=new cu;return r.scale=t||1,r.fontStack=e,r},cu.forImage=function(t){var e=new cu;return e.imageName=t,e};var fu=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function hu(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=fu.fromFeature(t,i);f===lu.vertical&&y.verticalizePunctuation();var m=Ii.processBidirectionalText,x=Ii.processStyledBidirectionalText;if(m&&1===y.sections.length){g=[];for(var b=0,_=m(y.toString(),bu(y,u,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new fu;T.text=w,T.sections=y.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(y.text,y.sectionIndex,bu(y,u,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new fu;E.text=S[0],E.sectionIndex=S[1],E.sections=y.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(y,bu(y,u,a,e,n,p,d));var L=[],C={positionedLines:L,text:y.toString(),top:c[1],bottom:c[1],left:c[0],right:c[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=0,p=uu,d=0,v=0,g=\"right\"===s?1:\"left\"===s?0:.5,y=0,m=0,x=i;m<x.length;m+=1){var b=x[m];b.trim();var _=b.getMaxScale(),w=(_-1)*Ll,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,O=null,I=null,D=Ll,z=!(l===lu.horizontal||!c&&!vi(L)||c&&(pu[L]||yi(L)));if(S.imageName){var R=n[S.imageName];if(!R)continue;I=S.imageName,t.iconsInText=t.iconsInText||!0,O=R.paddedRect;var F=R.displaySize;S.scale=S.scale*Ll/f,P={width:F[0],height:F[1],left:iu,top:-ru,advance:z?F[1]:F[0]},C=w+(Ll-F[1]*S.scale),D=P.advance;var B=z?F[0]*S.scale-Ll*_:F[1]*S.scale-Ll*_;B>0&&B>A&&(A=B)}else{var N=r[S.fontStack],j=N&&N[L];if(j&&j.rect)O=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[L];if(!V)continue;P=V.metrics}C=(_-S.scale)*Ll}z?(t.verticalizable=!0,k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=D*S.scale+u):(k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=P.advance*S.scale+u)}if(0!==k.length){var q=h-u;d=Math.max(q,d),wu(k,0,k.length-1,g,A)}h=0;var H=a*_+A;T.lineOffset=Math.max(A,w),p+=H,v=Math.max(H,v),++y}else p+=a,++y}var G=p-uu,W=_u(o),Y=W.horizontalAlign,X=W.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var u=(e-r)*i,c=0;c=a!==o?-s*n-uu:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=0,d=h[f].positionedGlyphs;p<d.length;p+=1){var v=d[p];v.x+=u,v.y+=c}})(t.positionedLines,g,Y,X,d,v,a,G,i.length),t.top+=-X*G,t.bottom=t.top+G,t.left+=-Y*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,u,h,v),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(L)&&C}fu.fromFeature=function(t,e){for(var r=new fu,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},fu.prototype.length=function(){return this.text.length},fu.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},fu.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},fu.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},fu.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;n&&gi(n)&&!El[t[r+1]]||i&&gi(i)&&!El[t[r-1]]||!El[t[r]]?e+=t[r]:e+=El[t[r]]}return e}(this.text)},fu.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&pu[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&pu[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},fu.prototype.substring=function(t,e){var r=new fu;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},fu.prototype.toString=function(){return this.text},fu.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return 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wu(t,e,r,n,i){if(n||i)for(var a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n,l=e;l<=r;l++)t[l].x-=s,t[l].y+=i}function Tu(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,u=s.pixelRatio||1;o=[l[0]/u,l[1]/u,s.displaySize[0]-l[2]/u,s.displaySize[1]-l[3]/u]}var c,f,h,p,d=e.left*a,v=e.right*a;\"width\"===r||\"both\"===r?(p=i[0]+d-n[3],f=i[0]+v+n[1]):f=(p=i[0]+(d+v-s.displaySize[0])/2)+s.displaySize[0];var g=e.top*a,y=e.bottom*a;return\"height\"===r||\"both\"===r?(c=i[1]+g-n[0],h=i[1]+y+n[2]):h=(c=i[1]+(g+y-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:c,right:f,bottom:h,left:p,collisionPadding:o}}du[10]=!0,du[32]=!0,du[38]=!0,du[40]=!0,du[41]=!0,du[43]=!0,du[45]=!0,du[47]=!0,du[173]=!0,du[183]=!0,du[8203]=!0,du[8208]=!0,du[8211]=!0,du[8231]=!0;var ku=function(t){function e(e,r,n,i){t.call(this,e,r),this.angle=n,void 0!==i&&(this.segment=i)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.clone=function(){return new 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i=t.interpolationType,a=t.minZoom,o=t.maxZoom,s=i?f(wr.interpolationFactor(i,e,a,o),0,1):0;\"camera\"===t.kind?n=er(t.minSize,t.maxSize,s):r=s}return{uSizeT:r,uSize:n}}var Lu=Object.freeze({__proto__:null,getSizeData:Mu,evaluateSizeForFeature:Su,evaluateSizeForZoom:Eu,SIZE_PACK_FACTOR:Au});function Cu(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],f=t[o],h=t[o+1];if(!h)return!1;var p=c.angleTo(f)-f.angleTo(h);for(p=Math.abs((p+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:p}),u+=p;s-l[0].distance>n;)u-=l.shift().angleDelta;if(u>i)return!1;o++,s+=f.dist(h)}return!0}function Pu(t){for(var e=0,r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function Ou(t,e,r){return t?.6*e*r:0}function Iu(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function Du(t,e,r,n,i,a){for(var 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a(0,0);c.push({tl:D,tr:z,bl:R,br:F,tex:y,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:Y,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return c}(0,r,l,i,o,s,n,t.allowVerticalPlacement),y=t.textSizeData,m=null;\"source\"===y.kind?(m=[Au*i.layout.get(\"text-size\").evaluate(s,{})])[0]>ec&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tc+'. Reduce your \"text-size\".'):\"composite\"===y.kind&&((m=[Au*d.compositeTextSizes[0].evaluate(s,{},v),Au*d.compositeTextSizes[1].evaluate(s,{},v)])[0]>ec||m[1]>ec)&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tc+'. Reduce your \"text-size\".'),t.addSymbols(t.text,g,m,l,o,s,c,e,u.lineStartIndex,u.lineLength,p,v);for(var x=0,b=f;x<b.length;x+=1)h[b[x]]=t.text.placedSymbolArray.length-1;return 4*g.length}function nc(t){for(var e in t)return t[e];return null}function ic(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var ac=tl.VectorTileFeature.types,oc=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function sc(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=s?Math.min(ec,Math.round(s[0])):0,d=s?Math.min(ec,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*u,16*c,256*f,256*h)}function lc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function uc(t){for(var e=0,r=t.sections;e<r.length;e+=1)if(bi(r[e].text))return!0;return!1}var cc=function(t){this.layoutVertexArray=new la,this.indexArray=new va,this.programConfigurations=t,this.segments=new za,this.dynamicLayoutVertexArray=new ua,this.opacityVertexArray=new ca,this.placedSymbolArray=new Sa};cc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},cc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,wl.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Tl.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,oc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},cc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},oi(\"SymbolBuffers\",cc);var fc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new za,this.collisionVertexArray=new da};fc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,kl.members,!0)},fc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},oi(\"CollisionBuffers\",fc);var hc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Bo([]),this.placementViewportMatrix=Bo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Mu(this.zoom,e[\"text-size\"]),this.iconSizeData=Mu(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.canOverlap=r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&this.canOverlap,\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return lu[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};hc.prototype.createArrays=function(){this.text=new cc(new co(this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new cc(new co(this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new Ca,this.lineVertexArray=new Pa,this.symbolInstances=new La},hc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=El[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},hc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof he&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),u=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,c=i.get(\"symbol-sort-key\");if(this.features=[],l||u){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new Di(this.zoom),v=0,g=t;v<g.length;v+=1){var y=g[v],m=y.feature,x=y.id,b=y.index,_=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T=mo(m,w);if(n._featureFilter.filter(d,T,r)){w||(T.geometry=yo(m));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=he.factory(A);uc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===Pi()||this.hasRTLText&&Ii.isParsed())&&(k=Sl(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof pe?E:pe.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?c.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:T.geometry,properties:m.properties,type:ac[m.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),O=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(lu.vertical)>=0;for(var I=0,D=k.sections;I<D.length;I+=1){var z=D[I];if(z.image)f[z.image.name]=!0;else{var R=di(k.toString()),F=z.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(z.text,B,O,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.text?c.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var v=s(p,d,f),g=o(p,d,n[v].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[v].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(u),e[p]=i-1,r[d]=i-1)}else a(u)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},hc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},hc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},hc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},hc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},hc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},hc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},hc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var u=a[l];this.lineVertexArray.emplaceBack(u.x,u.y,u.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},hc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,this.canOverlap?a.sortKey:void 0),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===lu.vertical?Math.PI/2:0,m=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,O=b.sectionIndex,I=d.vertexLength,D=C[1];sc(p,s.x,s.y,_.x,D+_.y,A.x,A.y,r,P,M.x,M.y,E,L),sc(p,s.x,s.y,w.x,D+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),sc(p,s.x,s.y,T.x,D+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),sc(p,s.x,s.y,k.x,D+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),lc(t.dynamicLayoutVertexArray,s,y),h.emplaceBack(I,I+1,I+2),h.emplaceBack(I+1,I+2,I+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&O===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[O])}t.placedSymbolArray.emplaceBack(s.x,s.y,v,this.glyphOffsetArray.length-v,g,l,u,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,c)},hc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},hc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=l.vertexLength,c=i.layoutVertexArray,f=i.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(c,f,o,h,p,new a(t,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,n)),this._addCollisionDebugVertex(c,f,o,h,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(u,u+1),d.emplaceBack(u+1,u+2),d.emplaceBack(u+2,u+3),d.emplaceBack(u+3,u),l.primitiveLength+=4},hc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,u=a.y2;this.addCollisionDebugVertices(o,s,l,u,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},hc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new fc(ha,Al.members,_a),this.iconCollisionBox=new fc(ha,Al.members,_a);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},hc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var u={},c=e;c<r;c++){var f=t.get(c);u.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},u.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);u.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},u.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var v=t.get(d);u.iconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},u.iconFeatureIndex=v.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);u.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},u.verticalIconFeatureIndex=y.featureIndex;break}return u},hc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},hc.prototype.hasTextData=function(){return this.text.segments.get().length>0},hc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},hc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},hc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},hc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},hc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},hc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},hc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},oi(\"SymbolBucket\",hc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),hc.MAX_GLYPHS=65535,hc.addDynamicAttributes=lc;var pc=new Xi({\"symbol-placement\":new qi(Ft.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new qi(Ft.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new qi(Ft.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Hi(Ft.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new qi(Ft.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new qi(Ft.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new qi(Ft.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new qi(Ft.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new qi(Ft.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Hi(Ft.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new qi(Ft.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new qi(Ft.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Hi(Ft.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Hi(Ft.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new qi(Ft.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new qi(Ft.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Hi(Ft.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Hi(Ft.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new qi(Ft.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new qi(Ft.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new qi(Ft.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Hi(Ft.layout_symbol[\"text-field\"]),\"text-font\":new Hi(Ft.layout_symbol[\"text-font\"]),\"text-size\":new Hi(Ft.layout_symbol[\"text-size\"]),\"text-max-width\":new Hi(Ft.layout_symbol[\"text-max-width\"]),\"text-line-height\":new qi(Ft.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Hi(Ft.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Hi(Ft.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Hi(Ft.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new qi(Ft.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Hi(Ft.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new qi(Ft.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new qi(Ft.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Hi(Ft.layout_symbol[\"text-rotate\"]),\"text-padding\":new qi(Ft.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new qi(Ft.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Hi(Ft.layout_symbol[\"text-transform\"]),\"text-offset\":new Hi(Ft.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new qi(Ft.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new qi(Ft.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new qi(Ft.layout_symbol[\"text-optional\"])}),dc={paint:new Xi({\"icon-opacity\":new Hi(Ft.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Hi(Ft.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Hi(Ft.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Hi(Ft.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Hi(Ft.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new qi(Ft.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new qi(Ft.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Hi(Ft.paint_symbol[\"text-opacity\"]),\"text-color\":new Hi(Ft.paint_symbol[\"text-color\"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Hi(Ft.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Hi(Ft.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Hi(Ft.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new qi(Ft.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new qi(Ft.paint_symbol[\"text-translate-anchor\"])}),layout:pc},vc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t};vc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},vc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},vc.prototype.outputDefined=function(){return!1},vc.prototype.serialize=function(){return null},oi(\"FormatSectionOverride\",vc,{omit:[\"defaultValue\"]});var gc=function(t){function e(e){t.call(this,e,dc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||cn(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new hc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=dc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new vc(a),s=new un(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new hn(\"source\",s):new pn(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Ui(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=dc.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof he)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof me&&ge(t.value)===Qt){var e=t.value;a(e.sections)}else t instanceof we?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ki),yc={paint:new Xi({\"background-color\":new qi(Ft.paint_background[\"background-color\"]),\"background-pattern\":new Wi(Ft.paint_background[\"background-pattern\"]),\"background-opacity\":new qi(Ft.paint_background[\"background-opacity\"])})},mc=function(t){function e(e){t.call(this,e,yc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki),xc={paint:new Xi({\"raster-opacity\":new qi(Ft.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new qi(Ft.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new qi(Ft.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new qi(Ft.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new qi(Ft.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new qi(Ft.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new qi(Ft.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new qi(Ft.paint_raster[\"raster-fade-duration\"])})},bc=function(t){function e(e){t.call(this,e,xc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki);var _c=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ki),wc={circle:Go,heatmap:es,hillshade:ns,fill:Hs,\"fill-extrusion\":sl,line:bl,symbol:gc,background:mc,raster:bc};var Tc=s.HTMLImageElement,kc=s.HTMLCanvasElement,Ac=s.HTMLVideoElement,Mc=s.ImageData,Sc=s.ImageBitmap,Ec=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Ec.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},u=l.x,c=l.y;t instanceof Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?s.texSubImage2D(s.TEXTURE_2D,0,u,c,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,u,c,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Ec.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Ec.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Ec.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Lc=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Lc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Lc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Cc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m([\"receive\",\"process\"],this),this.invoker=new Lc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=S()?t:s};function Pc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Cc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=C(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:ci(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else S()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Cc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(fi(e.error)):n(null,fi(e.data)))}else{var i=!1,a=C(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?ci(e):null,data:ci(n,a)},a)}:function(t){i=!0},s=null,l=fi(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Oc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Oc.prototype.setNorthEast=function(t){return this._ne=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Oc.prototype.setSouthWest=function(t){return this._sw=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Oc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Dc)e=t,r=t;else{if(!(t instanceof Oc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Oc.convert(a))}var o=t;return this.extend(Dc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Dc(e.lng,e.lat),this._ne=new Dc(r.lng,r.lat)),this},Oc.prototype.getCenter=function(){return new Dc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Oc.prototype.getSouthWest=function(){return this._sw},Oc.prototype.getNorthEast=function(){return this._ne},Oc.prototype.getNorthWest=function(){return new Dc(this.getWest(),this.getNorth())},Oc.prototype.getSouthEast=function(){return new Dc(this.getEast(),this.getSouth())},Oc.prototype.getWest=function(){return this._sw.lng},Oc.prototype.getSouth=function(){return this._sw.lat},Oc.prototype.getEast=function(){return this._ne.lng},Oc.prototype.getNorth=function(){return this._ne.lat},Oc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Oc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Oc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Oc.prototype.contains=function(t){var e=Dc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Oc.convert=function(t){return!t||t instanceof Oc?t:new Oc(t)};var Ic=6371008.8,Dc=function(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\")};Dc.prototype.wrap=function(){return new Dc(h(this.lng,-180,180),this.lat)},Dc.prototype.toArray=function(){return[this.lng,this.lat]},Dc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Dc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Ic*Math.acos(Math.min(i,1))},Dc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Oc(new Dc(this.lng-r,this.lat-e),new Dc(this.lng+r,this.lat+e))},Dc.convert=function(t){if(t instanceof Dc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Dc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Dc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var zc=2*Math.PI*Ic;function Rc(t){return zc*Math.cos(t*Math.PI/180)}function Fc(t){return(180+t)/360}function Bc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nc(t,e){return t/Rc(e)}function jc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Uc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Dc.convert(t);return new Uc(Fc(r.lng),Bc(r.lat),Nc(e,r.lat))},Uc.prototype.toLngLat=function(){return new Dc(360*this.x-180,jc(this.y))},Uc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Rc(jc(e));var t,e},Uc.prototype.meterInMercatorCoordinateUnits=function(){return 1/zc*(t=jc(this.y),1/Math.cos(t*Math.PI/180));var t};var Vc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gc(0,t,t,e,r)};Vc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Pc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Pc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return 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}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},Vc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*po,(t.y*e-this.y)*po)},Vc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var qc=function(t,e){this.wrap=t,this.canonical=e,this.key=Gc(t,e.z,e.z,e.x,e.y)},Hc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Vc(r,+n,+i),this.key=Gc(e,t,r,n,i)};function Gc(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Hc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Hc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Hc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Hc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Hc(e,this.wrap,e,r,n),new Hc(e,this.wrap,e,r+1,n),new Hc(e,this.wrap,e,r,n+1),new Hc(e,this.wrap,e,r+1,n+1)]},Hc.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Hc.prototype.wrapped=function(){return new Hc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.unwrapTo=function(t){return new Hc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Hc.prototype.toUnwrapped=function(){return new qc(this.wrap,this.canonical)},Hc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Hc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Uc(t.x-this.wrap,t.y))},oi(\"CanonicalTileID\",Vc),oi(\"OverscaledTileID\",Hc,{omit:[\"posMatrix\"]});var Wc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return k('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Wc.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Wc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Wc.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},Wc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Wc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Wc.prototype.getPixels=function(){return new $o({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Wc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u<o;u++)for(var c=n;c<i;c++)this.data[this._idx(c,u)]=t.data[this._idx(c+s,u+l)]},oi(\"DEMData\",Wc);var Yc=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Yc.prototype.encode=function(t){return this._stringToNumber[t]},Yc.prototype.decode=function(t){return this._numberToString[t]};var Xc=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},Zc={geometry:{configurable:!0}};Zc.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Zc.geometry.set=function(t){this._geometry=t},Xc.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Xc.prototype,Zc);var Kc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Kc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},p(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Kc.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},Kc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=p({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},Kc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Kc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),p(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var u in this.deletedStates[o]){if(null===this.deletedStates[o][u])this.state[o][u]={};else for(var c=0,f=Object.keys(this.deletedStates[o][u]);c<f.length;c+=1){var h=f[c];delete this.state[o][u][h]}s[u]=this.state[o][u]}r[o]=r[o]||{},p(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Jc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new ti(po,16,0),this.grid3D=new ti(po,16,0),this.featureIndexArray=new Ia,this.promoteId=e};function $c(t,e,r,n,i){return b(t,(function(t,a){var o=e instanceof Vi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Qc(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function tf(t,e){return e-t}Jc.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var u=e[l],c=[1/0,1/0,-1/0,-1/0],f=0;f<u.length;f++){var h=u[f];c[0]=Math.min(c[0],h.x),c[1]=Math.min(c[1],h.y),c[2]=Math.max(c[2],h.x),c[3]=Math.max(c[3],h.y)}c[0]<po&&c[1]<po&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Jc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Ol(this.rawTileData)).layers,this.sourceLayerCoder=new Yc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Jc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=po/t.tileSize/t.scale,l=An(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Qc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Qc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c<f.length;c+=1)if(Co(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(Po(t[h],t[h+1],u))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)}));d<v.length;d+=1){var g=v[d];h.push(g)}h.sort(tf);for(var y,m={},x=function(a){var c=h[a];if(c!==y){y=c;var f=i.featureIndexArray.get(c),p=null;i.loadMatchingFeature(m,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=yo(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},b=0;b<h.length;b++)x(b);return m},Jc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,u,c){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),d=this.vtLayers[h].feature(n);if(i.needGeometry){var v=mo(d,!0);if(!i.filter(new Di(this.tileID.overscaledZ),v,this.tileID.canonical))return}else if(!i.filter(new Di(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,h),y=0;y<f.length;y++){var m=f[y];if(!(a&&a.indexOf(m)<0)){var x=s[m];if(x){var b={};void 0!==g&&u&&(b=u.getState(x.sourceLayer||\"_geojsonTileLayer\",g));var _=p({},l[m]);_.paint=$c(_.paint,x.paint,d,b,o),_.layout=$c(_.layout,x.layout,d,b,o);var w=!c||c(d,x,b);if(w){var T=new Xc(d,this.z,this.x,this.y,g);T.layer=_;var k=t[m];void 0===k&&(k=t[m]=[]),k.push({featureIndex:n,feature:T,intersectionZ:w})}}}}}},Jc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=An(i),c=0,f=t;c<f.length;c+=1){var h=f[c];this.loadMatchingFeature(l,r,n,h,u,a,o,s,e)}return l},Jc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1)if(t===i[n])return!0;return!1},Jc.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},oi(\"FeatureIndex\",Jc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var ef=function(t,e){this.tileID=t,this.uid=v(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};ef.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<N.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},ef.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},ef.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof hc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof hc&&o.hasRTLText){this.hasRTLText=!0,Ii.isLoading()||Ii.isLoaded()||\"deferred\"!==Pi()||Oi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new Aa},ef.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},ef.prototype.getBucket=function(t){return this.buckets[t.id]},ef.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Ec(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Ec(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},ef.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},ef.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,u){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:u,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},ef.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=An(e&&e.filter),s=this.tileID.canonical,l=s.z,u=s.x,c=s.y,f={z:l,x:u,y:c},h=0;h<a.length;h++){var p=a.feature(h);if(o.needGeometry){var d=mo(p,!0);if(!o.filter(new Di(this.tileID.overscaledZ),d,this.tileID.canonical))continue}else if(!o.filter(new Di(this.tileID.overscaledZ),p))continue;var v=r.getId(p,i),g=new Xc(p,l,u,c,v);g.tile=f,t.push(g)}}},ef.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},ef.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},ef.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=E(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},ef.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},ef.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},ef.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},ef.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<N.now()},ef.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},ef.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=N.now()+t},ef.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},ef.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1)if(a[s[o]])return!0}return!1};var rf=s.performance,nf=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},rf.mark(this._marks.start)};nf.prototype.finish=function(){rf.mark(this._marks.end);var t=rf.getEntriesByName(this._marks.measure);return 0===t.length&&(rf.measure(this._marks.measure,this._marks.start,this._marks.end),t=rf.getEntriesByName(this._marks.measure),rf.clearMarks(this._marks.start),rf.clearMarks(this._marks.end),rf.clearMeasures(this._marks.measure)),t},t.Actor=Cc,t.AlphaImage=Jo,t.CanonicalTileID=Vc,t.CollisionBoxArray=Aa,t.Color=ue,t.DEMData=Wc,t.DataConstantProperty=qi,t.DictionaryCoder=Yc,t.EXTENT=po,t.ErrorEvent=zt,t.EvaluationParameters=Di,t.Event=Dt,t.Evented=Rt,t.FeatureIndex=Jc,t.FillBucket=Us,t.FillExtrusionBucket=il,t.ImageAtlas=su,t.ImagePosition=au,t.LineBucket=vl,t.LngLat=Dc,t.LngLatBounds=Oc,t.MercatorCoordinate=Uc,t.ONE_EM=Ll,t.OverscaledTileID=Hc,t.Point=a,t.Point$1=a,t.Properties=Xi,t.Protobuf=Ol,t.RGBAImage=$o,t.RequestManager=W,t.RequestPerformance=nf,t.ResourceType=_t,t.SegmentVector=za,t.SourceFeatureState=Kc,t.StructArrayLayout1ui2=wa,t.StructArrayLayout2f1f2i16=pa,t.StructArrayLayout2i4=ra,t.StructArrayLayout3ui6=va,t.StructArrayLayout4i8=na,t.SymbolBucket=hc,t.Texture=Ec,t.Tile=ef,t.Transitionable=Fi,t.Uniform1f=Ka,t.Uniform1i=Za,t.Uniform2f=Ja,t.Uniform3f=$a,t.Uniform4f=Qa,t.UniformColor=to,t.UniformMatrix4f=ro,t.UnwrappedTileID=qc,t.ValidationError=Bt,t.WritingMode=lu,t.ZoomHistory=hi,t.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},t.addDynamicAttributes=lc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=u,t.bindAll=m,t.browser=N,t.cacheEntryPossiblyAdded=function(t){++xt>ht&&(t.getActor().send(\"enforceCacheSizeLimit\",ft),xt=0)},t.clamp=f,t.clearTileCache=function(t){var e=s.caches.delete(ct);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Fu,t.clone=function(t){var e=new Fo(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},t.clone$1=w,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=j,t.create=function(){var t=new Fo(16);return 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generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)rt(r,t.features[n],e,n);else\"Feature\"===t.type?rt(r,t,e):rt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=lt(t,1,-1-r,r,0,-1,2,e),a=lt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=lt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=gt(i,1).concat(n)),a&&(n=n.concat(gt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function kt(t,e,r){return 32*((1<<t)*r+e)+t}function At(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new j(s,K,J,a,Float32Array),r&&console.timeEnd(o);for(var u=i;u>=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,K,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",u,s.length,+Date.now()-c)}return r&&console.timeEnd(\"total time\"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),X(a),Y(i),X(n));c<f.length;c+=1){var h=f[c],p=l.points[h];u.push(p.numPoints?G(p):this.points[p.index])}return u},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,u=i.within(a.x,a.y,o);l<u.length;l+=1){var c=u[l],f=i.points[c];f.parentId===t&&s.push(f.numPoints?G(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],u=l.numPoints,c={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:u?W(l):this.points[l.index].properties},f=void 0;u?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(c.id=f),a.features.push(c)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(+t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=n.minPoints,l=i/(a*Math.pow(2,e)),u=0;u<t.length;u++){var c=t[u];if(!(c.zoom<=e)){c.zoom=e;for(var f=this.trees[e+1],h=f.within(c.x,c.y,l),p=c.numPoints||1,d=p,v=0,g=h;v<g.length;v+=1){var y=g[v],m=f.points[y];m.zoom>e&&(d+=m.numPoints||1)}if(d>=s){for(var x=c.x*p,b=c.y*p,_=o&&p>1?this._map(c,!0):null,w=(u<<5)+(e+1)+this.points.length,T=0,k=h;T<k.length;T+=1){var A=k[T],M=f.points[A];if(!(M.zoom<=e)){M.zoom=e;var S=M.numPoints||1;x+=M.x*S,b+=M.y*S,M.parentId=w,o&&(_||(_=this._map(c,!0)),o(_,this._map(M)))}}c.parentId=w,r.push(q(x/d,b/d,w,d,_))}else if(r.push(c),d>1)for(var E=0,L=h;E<L.length;E+=1){var C=L[E],P=f.points[C];P.zoom<=e||(P.zoom=e,r.push(P))}}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?Z({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?Z({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<<e,f=kt(e,r,n),h=this.tiles[f];if(!h&&(u>1&&console.time(\"creation\"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){u>1&&console.time(\"clipping\");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd(\"clipping\"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=kt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",u,c,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd(\"drilling 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i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var u={};if(i){var c=i.finish();c&&(u.resourceTiming={},u.resourceTiming[n.source]=JSON.parse(JSON.stringify(c)))}r(null,u)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already 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s=i([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var u=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",u,u),t.window.removeEventListener(\"test\",u,u)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var c=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",c,!0)};function f(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener(\"click\",c,!0),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",c,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!(t&&(4!==t.length||t[0]<0||e.data.width<t[0]||t[1]<0||e.data.height<t[1]||t[2]<0||e.data.width<t[2]||t[3]<0||e.data.height<t[3]||t[2]<t[0]||t[3]<t[1]))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,u=l.x+1,c=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:u,y:c-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:u-1,y:c},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u+h,y:c},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,v=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(m(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(m(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function m(t,e,r,n,i){r[0]=0,n[0]=-v,n[1]=+v;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+v}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?v:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?v:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(y(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),y(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,u=o.glyph;(n[s]||(n[s]={}))[l]=u&&{id:u.id,bitmap:u.bitmap.clone(),metrics:u.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=\"-transition\",T=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,w)?this._transitionable.setTransition(n.slice(0,-11),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},k.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var u=t[l];i=s*r,a=(s+=u)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===u})}return n},k.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var u={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,u},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),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.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var A=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setSourceProperty=function(t){this._tileJSONRequest&&this._tileJSONRequest.cancel(),t(),this.map.style.sourceCaches[this.id].clearTiles(),this.load()},r.prototype.setTiles=function(t){var e=this;return this.setSourceProperty((function(){e._options.tiles=t})),this},r.prototype.setUrl=function(t){var e=this;return this.setSourceProperty((function(){e.url=t,e._options.url=t})),this},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(L),P=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,minPoints:Math.max(2,n.clusterMinPoints||2),extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties,filter:n.filter},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var u=i-r,c=a-n,f=Math.max(u,c),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var D=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),R={vector:E,raster:L,\"raster-dem\":C,geojson:P,video:D,image:I,canvas:z};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&\"fill-extrusion\"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var u=[],c=0,f=l;c<f.length;c+=1){var h=f[c];u.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,F(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var u in o)for(var 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Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var St=7680,Et=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Lt=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Lt.Replace=[1,0],Lt.disabled=new Lt(Lt.Replace,t.Color.transparent,[!1,!1,!1,!1]),Lt.unblended=new Lt(Lt.Replace,t.Color.transparent,[!0,!0,!0,!0]),Lt.alphaBlended=new Lt([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Ct=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Ct.disabled=new Ct(!1,1029,2305),Ct.backCCW=new Ct(!0,1029,2305);var Pt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new G(this),this.clearDepth=new W(this),this.clearStencil=new Y(this),this.colorMask=new X(this),this.depthMask=new Z(this),this.stencilMask=new K(this),this.stencilFunc=new J(this),this.stencilOp=new $(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ut(this),this.program=new ct(this),this.activeTexture=new ft(this),this.viewport=new ht(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new vt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new bt(this),this.pixelStoreUnpackFlipY=new _t(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\"),this.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE)};Pt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Pt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Pt.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Pt.prototype.createVertexBuffer=function(t,e,r){return new q(this,t,e,r)},Pt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Pt.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},Pt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Pt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Pt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Pt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Pt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Lt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Pt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ot=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],v=this._tiles[p];if(v&&!(v.fadeEndTime&&v.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),u[g.tileID.key]=g.tileID),c[p]=d}}for(var y in this._retainLoadedChildren(c,a,s,l),u)l[y]||(this._coveredTiles[y]=!0,l[y]=u[y])}for(var m in l)this._tiles[m].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,u=t;l<u.length;l+=1){var c=u[l],f=this._addTile(c);n[c.key]=c,f.hasData()||e<this._source.maxzoom&&(s[c.key]=c)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],v=this._tiles[d.key];if(!v.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v<g.length;v+=1){var y=g[v];f=Math.min(f,y.x),h=Math.min(h,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var m=function(e){var n=i._tiles[c[e]];if(!n.holdingForFade()){var s=n.tileID,v=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/v,y=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x<c.length;x++)m(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Dt(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker(oa.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt=\"mapboxgl_preloaded_worker_pool\",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var qt={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Ht(t,e,r){r.push({command:qt.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:qt.removeSource,args:[t]}),r[t]=!0}function Wt(t,e,r,n){Gt(t,r,n),Ht(t,e,r)}function Yt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Xt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Zt(t){return t.id}function Kt(t,e){return t[e.id]=e,t}function Jt(e,r){if(!e)return[{command:qt.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:qt.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:qt.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:qt.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:qt.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:qt.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:qt.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:qt.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:qt.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:qt.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Yt(e,r,a)?n.push({command:qt.setGeoJSONSourceData,args:[a,r[a].data]}):Wt(a,r,n,i)):Ht(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:qt.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,u,c,f=(e=e||[]).map(Zt),h=r.map(Zt),p=e.reduce(Kt,{}),d=r.reduce(Kt,{}),v=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:qt.removeLayer,args:[o]}),v.splice(v.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],v[v.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:qt.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:qt.addLayer,args:[d[o],u]}),v.splice(v.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(c in Xt(s.layout,l.layout,n,o,null,qt.setLayoutProperty),Xt(s.paint,l.paint,n,o,null,qt.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:qt.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:qt.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.setLayerProperty,args:[o,c,l[c]]}));for(c in l)l.hasOwnProperty(c)&&!s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:qt.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:qt.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:qt.setStyle,args:[r]}]}return n}var $t=function(t,e){this.reset(t,e)};$t.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},$t.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var m=d.get(y);if(m.hidden||m.writingMode===t.WritingMode.vertical&&!g)he(m.numGlyphs,h);else{g=!1;var x=[m.anchorX,m.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,f)){var b=x[3],_=ne(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(u,c,m),T=s?w/_:w*_,k=new t.Point(m.anchorX,m.anchorY),A=re(k,a).point,M={},S=le(m,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(m,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v).notEnoughRoom)&&he(m.numGlyphs,h)}else he(m.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function oe(t,e,r,n,i,a,o,s,l,u,c){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),g=ce(t*d,r,n,i,a,o,s.segment,h,p,l,u,c);if(!g)return null;var y=ce(t*v,r,n,i,a,o,s.segment,h,p,l,u,c);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)v.push(ce(g*l.getoffsetX(M),y,m,n,f,h,e.segment,b,_,u,o,p));v.push(w.last)}else{if(i&&!n){var S=re(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(u.getx(E),u.gety(E)),C=re(L,a),P=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D<z.length;D+=1){var R=z[D];t.addDynamicAttributes(c,R.point,R.angle)}return{}}function ue(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ce(e,r,n,i,a,o,s,l,u,c,f,h){var p=i?e-r:e+r,d=p>0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var u=this.circles[3*l],c=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:u-f,y1:c-f,x2:u+f,y2:c+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=c[d+2]&&e<=c[d+3]&&r>=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;y<m.length;y+=1){var x=m[y];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,u=o.seenUids,c=this.boxCells[i];if(null!==c)for(var f=this.bboxes,h=0,p=c;h<p.length;h+=1){var d=p[h];if(!u.box[d]){u.box[d]=!0;var v=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[v+0],f[v+1],f[v+2],f[v+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,m=0,x=g;m<x.length;m+=1){var b=x[m];if(!u.circle[b]){u.circle[b]=!0;var _=3*b;if(this._circlesCollide(y[_],y[_+1],y[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),u=this._convertToYCellCoord(e),c=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(fe,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,ve=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}ve.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,u=t.x2*o+a.point.x,c=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,u,c)||!e&&this.grid.hitTest(s,l,u,c,i)?{box:[],offscreen:!1}:{box:[s,l,u,c],offscreen:this.isOffscreen(s,l,u,c)}},ve.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,u,c,f,h,p){var d=[],v=new t.Point(r.anchorX,r.anchorY),g=re(v,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),m=(c?a/y:a*y)/t.ONE_EM,x=re(v,s).point,b=oe(m,i,r.lineOffsetX*m,r.lineOffsetY*m,!1,x,v,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new $t,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var O=1;O<L.path.length;O++)C.push(L.path[O]);var I=2.5*k;if(l){var D=C.map((function(t){return re(t,l)}));C=D.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:D.map((function(t){return t.point}))}var z=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);z=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/I)+1;for(var q=0;q<V;q++){var H=q/Math.max(V-1,1),G=S.lerp(H),W=G.x+de,Y=G.y+de;d.push(W,Y,k,0);var X=W-k,Z=Y-k,K=W+k,J=Y+k;if(T=T&&this.isOffscreen(X,Z,K,J),w=w||this.isInsideGrid(X,Z,K,J),!e&&this.grid.hitTestCircle(W,Y,k,f)&&(_=!0,!u))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!u&&_||!w?[]:d,offscreen:T,collisionDetected:_}},ve.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var u=l[s],c=new t.Point(u.x+de,u.y+de);n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y),r.push(c)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var v=d[p],g=v.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(v.x1,v.y1),new t.Point(v.x2,v.y1),new t.Point(v.x2,v.y2),new t.Point(v.x1,v.y2)];t.polygonIntersectsPolygon(r,y)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},ve.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},ve.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},ve.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},ve.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},ve.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},be=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},_e=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point(s+u[0]*a,l+u[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,u=e.y1,c=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:u+p.y,x2:l+p.x,y2:c+p.y,anchorPointX:f,anchorPointY:h}}we.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new ve(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}Ae.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),c=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=ge(n,1,this.transform.zoom),v=te(f,h,p,this.transform,d),g=null;if(h){var y=ee(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new _e(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var m={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:v,labelToScreenMatrix:g,scale:u,textPixelRatio:c,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:m})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:m})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=[f.textOffset0,f.textOffset1],y=Te(t,r,n,g,i),m=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate).box.length)return m.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get(\"text-optional\"),y=s.get(\"icon-optional\"),m=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),!(L&&L.box&&L.box.length));i+=1);else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),W=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,W,l,u,c,n,_,v.predicate,X,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=Z(a.verticalIconBox)).box.length>0:(O=Z(a.iconBox)).box.length>0,S=S&&O.offscreen}var K=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if(K||J?J?K||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt<P.circles.length;tt+=4)Q.circles.push(P.circles[tt+0]),Q.circles.push(P.circles[tt+1]),Q.circles.push(P.circles[tt+2]),Q.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},Ae.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var u=l[s];u>=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},Ae.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],u=i[s];u?(this.opacities[s]=new me(u,n,l.text,l.icon),r=r||l.text!==u.text.placed||l.icon!==u.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var c in i){var f=i[c];if(!this.opacities[c]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[c]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},Ae.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},Ae.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),u=a.get(\"text-variable-anchor\"),c=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},v=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,v=a.crossTileID,g=r[v],y=i.opacities[v];g?y=o:y||(y=p,i.opacities[v]=y),r[v]=!0;var m=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;g<e.symbolInstances.length;g++)v(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,u=o;l<u.length;l+=1){var c=u[l];if(Math.abs(c.coord.x-s.x)<=n&&Math.abs(c.coord.y-s.y)<=n&&!r[c.crossTileID]){r[c.crossTileID]=!0,a.crossTileID=c.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c<e.symbolInstances.length;c++){var f=e.symbolInstances.get(c);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],u=l.getBucket(t);u&&t.id===u.layerIds[0]&&(u.bucketInstanceId||(u.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,u,this.crossTileIDs)&&(i=!0),a[u.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var qe=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},He=t.pick(qt,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ge=t.pick(qt,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),We=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),Ye=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(We,!1)},r.prototype._load=function(e,r){if(!r||!qe(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}var l={};for(var u in this.sourceCaches){var c=this.sourceCaches[u];l[u]=c.used,c.used=!1}for(var f=0,h=this._order;f<h.length;f+=1){var p=h[f],d=this._layers[p];d.recalculate(e,this._availableImages),!d.isHidden(e.zoom)&&d.source&&(this.sourceCaches[d.source].used=!0)}for(var v in l){var g=this.sourceCaches[v];l[v]!==g.used&&g.fire(new t.Event(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:v}))}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),qe(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Jt(this.serialize(),e).filter((function(t){return!(t.command in Ge)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in He)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._afterImageUpdated(e)},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._afterImageUpdated(e)},r.prototype._afterImageUpdated=function(e){this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.dispatcher.broadcast(\"setImages\",this._availableImages),this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(qe(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is required to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var u=l[s][o];if(u)for(var c=0,f=u;c<f.length;c+=1){var h=f[c];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var m=0,x=t;m<x.length;m+=1){var b=x[m][v];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var u=[];for(var c in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[c]||u.push(B(this.sourceCaches[c],this._layers,this._serializedLayers,e,r,n));return this.placement&&u.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),u=[],c=0,f=Object.keys(l).map(Number);c<f.length;c+=1){var h=f[c];u.push(o[h])}u.sort(N);for(var p=function(){var r=v[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],u=n[a];u.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var c=0,f=u;c<f.length;c+=1){var h=f[c];o.push(h)}}},d=0,v=u;d<v.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(u)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&qe(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var v=0,g=this._order;v<g.length;v+=1){var y=g[v],m=this._layers[y];\"symbol\"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);Ye.getSourceType=function(t){return R[t]},Ye.setSourceType=function(t,e){R[t]=e},Ye.registerForPluginStateChange=t.registerForPluginStateChange;var Xe=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ze=_r(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),Ke=_r(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Je=_r(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),$e=_r(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Qe=_r(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),tr=_r(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),er=_r(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),rr=_r(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),nr=_r(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),ir=_r(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),ar=_r(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),or=_r(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),sr=_r(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),lr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),ur=_r(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),cr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),fr=_r(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),hr=_r(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),pr=_r(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),dr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),vr=_r(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),gr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),yr=_r(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),mr=_r(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),xr=_r(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),br=_r(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function _r(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n=e.match(/attribute ([\\w]+) ([\\w]+)/g),i=t.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),a=e.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,(function(t,e,r,n,i){return s[i]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,n,i){var a=\"float\"===n?\"vec2\":\"vec4\",o=i.match(/color/)?\"color\":a;return s[i]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),staticAttributes:n,staticUniforms:o}}var wr=Object.freeze({__proto__:null,prelude:Ze,background:Ke,backgroundPattern:Je,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};function kr(t){for(var e=[],r=0;r<t.length;r++)if(null!==t[r]){var n=t[r].split(\" \");e.push(n.pop())}return e}Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u<n.length;u++)this.boundPaintVertexBuffers[u]!==n[u]&&(l=!0);var c=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||c?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,u=this.context,c=u.gl;if(u.extVertexArrayObject)this.vao&&this.destroy(),this.vao=u.extVertexArrayObject.createVertexArrayOES(),u.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=u.currentNumAttributes||0;for(var f=l;f<s;f++)c.disableVertexAttribArray(f)}e.enableAttributes(c,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(c,t);a&&a.enableAttributes(c,t),o&&o.enableAttributes(c,t),e.bind(),e.setVertexAttribPointers(c,t,i);for(var d=0,v=r;d<v.length;d+=1){var g=v[d];g.bind(),g.setVertexAttribPointers(c,t,i)}a&&(a.bind(),a.setVertexAttribPointers(c,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(c,t,i)),u.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var Ar=function(t,e,r,n,i,a){var o=t.gl;this.program=o.createProgram();for(var s=kr(r.staticAttributes),l=n?n.getBinderAttributes():[],u=s.concat(l),c=r.staticUniforms?kr(r.staticUniforms):[],f=n?n.getBinderUniforms():[],h=[],p=0,d=c.concat(f);p<d.length;p+=1){var v=d[p];h.indexOf(v)<0&&h.push(v)}var g=n?n.defines():[];a&&g.push(\"#define OVERDRAW_INSPECTOR;\");var y=g.concat(Ze.fragmentSource,r.fragmentSource).join(\"\\n\"),m=g.concat(Ze.vertexSource,r.vertexSource).join(\"\\n\"),x=o.createShader(o.FRAGMENT_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(x,y),o.compileShader(x),o.attachShader(this.program,x);var b=o.createShader(o.VERTEX_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(b,m),o.compileShader(b),o.attachShader(this.program,b),this.attributes={};var _={};this.numAttributes=u.length;for(var w=0;w<this.numAttributes;w++)u[w]&&(o.bindAttribLocation(this.program,w,u[w]),this.attributes[u[w]]=w);o.linkProgram(this.program),o.deleteShader(b),o.deleteShader(x);for(var T=0;T<h.length;T++){var k=h[T];if(k&&!_[k]){var A=o.getUniformLocation(this.program,k);A&&(_[k]=A)}}this.fixedUniforms=i(t,_),this.binderUniforms=n?n.getUniforms(t,_):[]}}};function Mr(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Sr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Er=function(e,r,n,i,a,o,s){return t.extend(Sr(e,r,n,i),Mr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Lr=function(t){return{u_matrix:t}},Cr=function(e,r,n,i){return t.extend(Lr(e),Mr(n,r,i))},Pr=function(t,e){return{u_matrix:t,u_world:e}},Or=function(e,r,n,i,a){return t.extend(Cr(e,r,n,i),{u_world:a})},Ir=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Dr=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},zr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Rr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Fr=function(t){return{u_matrix:t}},Br=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Nr=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}},jr=function(e,r,n){var i=n.paint.get(\"hillshade-shadow-color\"),a=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},Ur=function(e,r){var n=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:e.overscaledZ,u_unpack:r.getUnpackVector()}};var Vr=function(e,r,n){var i=e.transform;return{u_matrix:Yr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},qr=function(e,r,n,i){return t.extend(Vr(e,r,n),{u_image:0,u_image_height:i})},Hr=function(e,r,n,i){var a=e.transform,o=Wr(r,a);return{u_matrix:Yr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Gr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Wr(r,o),u=\"round\"===n.layout.get(\"line-cap\"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Vr(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Wr(t,e){return 1/ge(t,1,e.tileZoom)}function Yr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Xr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Zr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Zr(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]}var Kr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},$r=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Qr=function(e,r,n,i,a,o,s,l,u,c){return t.extend($r(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},tn=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},en=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},rn={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image),u_image_height:new t.Uniform1f(e,r.u_image_height)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function nn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var v=i[d],g=r.getTile(v),y=g.getBucket(n);if(y){var m=v.posMatrix;0===a[0]&&0===a[1]||(m=e.translatePosMatrix(v.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,b=y.collisionCircleArray;if(b.length>0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Dr(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],O=E.circleArray[C+1],I=E.circleArray[C+2],D=E.circleArray[C+3];k.emplace(A++,P,O,I,D,0),k.emplace(A++,P,O,I,D,1),k.emplace(A++,P,O,I,D,2),k.emplace(A++,P,O,I,D,3)}(!Kr||Kr.length<2*h)&&(Kr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var z=l.createIndexBuffer(Kr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=zr(N.transform,N.invTransform,e.transform);T.draw(l,u.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,j,n.id,R,z,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),z.destroy()}}var an=t.identity(new Float32Array(16));function on(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,u=-(s.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point((l/a+c[0])*o,(u/a+c[1])*o)}function sn(e,r,n,i,a,o,s,l,u,c,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,v={};p.clear();for(var g=0;g<h.length;g++){var y=h.get(g),m=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||m?null:i[y.crossTileID];if(x){var b=new t.Point(y.anchorX,y.anchorY),_=re(b,n?l:s),w=ne(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,c,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/u);for(var k=x.width,A=x.height,M=on(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<y.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&y.associatedIconIndex>=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var O=C.get(P);if(O.hidden)he(O.numGlyphs,d);else{var I=v[P];if(I)for(var D=0;D<O.numGlyphs;D++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(O.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function ln(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function un(e,r,n,i,a,o,s,l,u,c,f,h){for(var p=e.context,d=p.gl,v=e.transform,g=\"map\"===l,y=\"map\"===u,m=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!y&&!m,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=!1,w=e.depthModeForSublayer(0,Mt.ReadOnly),T=n.layout.get(\"text-variable-anchor\"),k=[],A=0,M=i;A<M.length;A+=1){var S=M[A],E=r.getTile(S),L=E.getBucket(n);if(L){var C=a?L.text:L.icon;if(C&&C.segments.get().length){var P=C.programConfigurations.get(n.id),O=a||L.sdfIcons,I=a?L.textSizeData:L.iconSizeData,D=y||0!==v.pitch,z=e.useProgram(ln(O,a,L),P),R=t.evaluateSizeForZoom(I,v.zoom),F=void 0,B=[0,0],N=void 0,j=void 0,U=null,V=void 0;if(a){if(N=E.glyphAtlasTexture,j=d.LINEAR,F=E.glyphAtlasTexture.size,L.iconsInText){B=E.imageAtlasTexture.size,U=E.imageAtlasTexture;var q=\"composite\"===I.kind||\"camera\"===I.kind;V=D||e.options.rotating||e.options.zooming||q?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||L.iconsNeedLinear;N=E.imageAtlasTexture,j=O||e.options.rotating||e.options.zooming||H||D?d.LINEAR:d.NEAREST,F=E.imageAtlasTexture.size}var G=ge(E,1,e.transform.zoom),W=te(S.posMatrix,y,g,e.transform,G),Y=ee(S.posMatrix,y,g,e.transform,G),X=T&&L.hasTextData(),Z=\"none\"!==n.layout.get(\"icon-text-fit\")&&X&&L.hasIconData();m&&ae(L,S.posMatrix,e,a,W,Y,y,c);var K=e.translatePosMatrix(S.posMatrix,E,o,s),J=m||a&&T||Z?an:W,$=e.translatePosMatrix(Y,E,o,s,!0),Q=O&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),tt={program:z,buffers:C,uniformValues:O?L.iconsInText?Qr(I.kind,R,x,y,e,K,J,$,F,B):$r(I.kind,R,x,y,e,K,J,$,a,F,!0):Jr(I.kind,R,x,y,e,K,J,$,a,F),atlasTexture:N,atlasTextureIcon:U,atlasInterpolation:j,atlasInterpolationIcon:V,isSDF:O,hasHalo:Q};if(b&&L.canOverlap){_=!0;for(var et=0,rt=C.segments.get();et<rt.length;et+=1){var nt=rt[et];k.push({segments:new t.SegmentVector([nt]),sortKey:nt.sortKey,state:tt})}}else k.push({segments:C.segments,sortKey:0,state:tt})}}}_&&k.sort((function(t,e){return t.sortKey-e.sortKey}));for(var it=0,at=k;it<at.length;it+=1){var ot=at[it],st=ot.state;if(p.activeTexture.set(d.TEXTURE0),st.atlasTexture.bind(st.atlasInterpolation,d.CLAMP_TO_EDGE),st.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),st.atlasTextureIcon&&st.atlasTextureIcon.bind(st.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),st.isSDF){var lt=st.uniformValues;st.hasHalo&&(lt.u_is_halo=1,cn(st.buffers,ot.segments,n,e,st.program,w,f,h,lt)),lt.u_is_halo=0}cn(st.buffers,ot.segments,n,e,st.program,w,f,h,st.uniformValues)}}function cn(t,e,r,n,i,a,o,s,l){var u=n.context,c=u.gl;i.draw(u,c.TRIANGLES,a,o,s,Ct.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function fn(t,e,r,n,i,a,o){var s,l,u,c,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),v=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var m=y[g],x=e.getTile(m);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(v));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(m.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){c=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];u=\"fillOutlinePattern\"===l&&d?Or(S,t,v,x,E):Pr(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Cr(S,t,v,x):Lr(S);w.draw(t.context,s,i,t.stencilModeForClipping(m),a,Ct.disabled,u,r.id,b.layoutVertexBuffer,c,f,r.paint,t.transform.zoom,_)}}}}function hn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,u=r.paint.get(\"fill-extrusion-pattern\"),c=u.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var v=d[p],g=e.getTile(v),y=g.getBucket(r);if(y){var m=y.programConfigurations.get(r.id),x=t.useProgram(c?\"fillExtrusionPattern\":\"fillExtrusion\",m);c&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),m.updatePaintBuffers(f));var b=u.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&m.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(v.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=c?Er(k,t,A,h,v,f,g):Sr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Ct.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,m)}}}function pn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var u=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var c=jr(t,e,r);u.draw(o,s.TRIANGLES,n,i,a,Ct.disabled,c,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function dn(e,r,n,i,a,o){var s=e.context,l=s.gl,u=r.dem;if(u&&u.data){var c=u.dim,f=u.stride,h=u.getPixels();if(s.activeTexture.set(l.TEXTURE1),s.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(f),r.demTexture){var p=r.demTexture;p.update(h,{premultiply:!1}),p.bind(l.NEAREST,l.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(s,h,l.RGBA,{premultiply:!1}),r.demTexture.bind(l.NEAREST,l.CLAMP_TO_EDGE);s.activeTexture.set(l.TEXTURE0);var d=r.fbo;if(!d){var v=new t.Texture(s,{width:c,height:c,data:null},l.RGBA);v.bind(l.LINEAR,l.CLAMP_TO_EDGE),(d=r.fbo=s.createFramebuffer(c,c,!0)).colorAttachment.set(v.texture)}s.bindFramebuffer.set(d.framebuffer),s.viewport.set([0,0,c,c]),e.useProgram(\"hillshadePrepare\").draw(s,l.TRIANGLES,i,a,o,Ct.disabled,Ur(r.tileID,u),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function vn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var gn=new t.Color(1,0,0,1),yn=new t.Color(0,1,0,1),mn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),bn=new t.Color(0,1,1,1);function _n(t){var e=t.transform.padding;wn(t,t.transform.height-(e.top||0),3,gn),wn(t,e.bottom||0,3,yn),Tn(t,e.left||0,3,mn),Tn(t,t.transform.width-(e.right||0),3,xn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;kn(t,e-a/2,r-i/2,a,i,n),kn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,bn)}function wn(t,e,r,n){kn(t,0,e+r/2,t.transform.width,r,n)}function Tn(t,e,r,n){kn(t,e-r/2,0,r,t.transform.height,n)}function kn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function An(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f=\"$debug\";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,Rr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+\" \"+d+\"kb\"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,Rr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var Mn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u=\"map\"===a,c=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),v=d.getBucket(n);if(v&&v.text&&v.text.segments.get().length){var g=v.textSizeData,y=t.evaluateSizeForZoom(g,l.zoom),m=ge(d,1,r.transform.zoom),x=te(p.posMatrix,c,u,r.transform,m),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&v.hasIconData();if(y){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);sn(v,u,c,s,t.symbolSize,l,x,p.posMatrix,_,y,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&un(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&un(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(nn(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),nn(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var u=e.context,c=u.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=Et.disabled,p=e.colorModeForRenderPass(),d=[],v=0;v<i.length;v++){var g=i[v],y=r.getTile(g),m=y.getBucket(n);if(m){var x=m.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:m.layoutVertexBuffer,indexBuffer:m.indexBuffer,uniformValues:Ir(e,g,y,n)};if(l)for(var _=0,w=m.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:m.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,O=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,O,n.id,C,P,I,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Lt([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);(function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,e,n),a.clear({color:t.Color.transparent});for(var u=0;u<i.length;u++){var c=i[u];if(!r.hasRenderableParent(c)){var f=r.getTile(c),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),v=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Ct.disabled,Br(c.posMatrix,f,v,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Nr(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1))for(var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),u=n.paint.get(\"line-dasharray\"),c=n.paint.get(\"line-pattern\"),f=c.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":u?\"lineSDF\":h?\"lineGradient\":\"line\",v=e.context,g=v.gl,y=!0,m=0,x=i;m<x.length;m+=1){var b=x[m],_=r.getTile(b);if(!f||_.patternsLoaded()){var w=_.getBucket(n);if(w){var T=w.programConfigurations.get(n.id),k=e.context.program.get(),A=e.useProgram(d,T),M=y||A.program!==k,S=c.constantOr(null);if(S&&_.imageAtlas){var E=_.imageAtlas,L=E.patternPositions[S.to.toString()],C=E.patternPositions[S.from.toString()];L&&C&&T.setConstantPatternPositions(L,C)}var P=f?Hr(e,_,n,p):u?Gr(e,_,n,u,p):h?qr(e,_,n,w.lineClipsArray.length):Vr(e,_,n);if(f)v.activeTexture.set(g.TEXTURE0),_.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),T.updatePaintBuffers(p);else if(u&&(M||e.lineAtlas.dirty))v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v);else if(h){var O=w.gradients[n.id],I=O.texture;if(n.gradientVersion!==O.version){var D=256;if(n.stepInterpolant){var z=r.getSource().maxzoom,R=b.canonical.z===z?Math.ceil(1<<e.transform.maxZoom-b.canonical.z):1,F=w.maxLineLength/t.EXTENT*1024*R;D=t.clamp(t.nextPowerOfTwo(F),256,v.maxTextureSize)}O.gradient=t.renderColorRamp({expression:n.gradientExpression(),evaluationKey:\"lineProgress\",resolution:D,image:O.gradient||void 0,clips:w.lineClipsArray}),O.texture?O.texture.update(O.gradient):O.texture=new t.Texture(v,O.gradient,g.RGBA),O.version=n.gradientVersion,I=O.texture}v.activeTexture.set(g.TEXTURE0),I.bind(n.stepInterpolant?g.NEAREST:g.LINEAR,g.CLAMP_TO_EDGE)}A.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(b),l,Ct.disabled,P,n.id,w.layoutVertexBuffer,w.indexBuffer,w.segments,n.paint,e.transform.zoom,T,w.layoutVertexBuffer2),y=!1}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),u=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===u){var c=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);fn(e,r,n,i,c,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);fn(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))hn(t,e,r,n,a,Et.disabled,Lt.disabled),hn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();hn(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=t.depthModeForSublayer(0,Mt.ReadOnly),o=t.colorModeForRenderPass(),s=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],l=s[0],u=0,c=s[1];u<c.length;u+=1){var f=c[u],h=e.getTile(f);h.needsHillshadePrepare&&\"offscreen\"===t.renderPass?dn(t,h,r,a,Et.disabled,o):\"translucent\"===t.renderPass&&pn(t,h,r,a,l[f.overscaledZ],o)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),u=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),c=u[0],f=u[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,v=f;d<v.length;d+=1){var g=v[d],y=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),m=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);m.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,0),_=vn(m,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-m.tileID.overscaledZ),T=[m.tileID.canonical.x*w%1,m.tileID.canonical.y*w%1]):m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Xr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Ct.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,c[g.overscaledZ],l,Ct.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,u=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(u)){var c=!u&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===c){var f=Et.disabled,h=t.depthModeForSublayer(0,\"opaque\"===c?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(u?\"backgroundPattern\":\"background\"),v=s.coveringTiles({tileSize:l});u&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,m=v;y<m.length;y+=1){var x=m[y],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=u?en(b,i,t,u,{tileID:x,tileSize:l},g):tn(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Ct.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)An(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o=\"3d\"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Sn=function(t,e){this.context=new Pt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ot.maxUnderzooming+Ot.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Sn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},Sn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Xe.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Xe.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,O.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Xe.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Sn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,Lt.disabled,Ct.disabled,Fr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Sn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Lt.disabled,Ct.disabled,Fr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Sn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Sn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Lt([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Lt.unblended:Lt.alphaBlended},Sn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Sn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Sn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,u,c={},f={},h={};for(var p in a){var d=a[p];c[p]=d.getVisibleCoordinates(),f[p]=c[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var v=0;v<i.length;v++){var g=i[v];if(this.style._layers[g].is3D()){this.opaquePassCutoff=v;break}}this.renderPass=\"offscreen\";for(var y=0,m=i;y<m.length;y+=1){var x=m[y],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,c[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(u&&u.id)&&(u=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<u.getSource().maxzoom)&&(l=u))})),l&&Mn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&_n(this),this.context.setDefault()},Sn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),Mn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Sn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},Sn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Sn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Sn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},Sn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var u=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],c=new Float32Array(16);return t.translate(c,e,u),c},Sn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Sn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Sn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Sn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new Ar(this.context,t,wr[t],e,rn[t],this._showOverdrawInspector)),this.cache[r]},Sn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Sn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Sn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Sn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var En=function(t,e){this.points=t,this.planes=e};En.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new En(a,o)};var Ln=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Ln.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Ln(n,i)},Ln.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Ln.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Ln.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];u=Math.min(u,h),c=Math.max(c,h)}if(c<0||u>this.max[l]-this.min[l])return 0}return 1};var Cn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};Cn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Cn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Cn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Cn.prototype.clone=function(){return new Cn(this.top,this.bottom,this.left,this.right)},Cn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Pn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Cn,this._posMatrixCache={},this._alignedPosMatrixCache={}},On={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};Pn.prototype.clone=function(){var t=new Pn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},On.minZoom.get=function(){return this._minZoom},On.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},On.maxZoom.get=function(){return this._maxZoom},On.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},On.minPitch.get=function(){return this._minPitch},On.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},On.maxPitch.get=function(){return this._maxPitch},On.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},On.renderWorldCopies.get=function(){return this._renderWorldCopies},On.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},On.worldSize.get=function(){return this.tileSize*this.scale},On.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},On.size.get=function(){return new t.Point(this.width,this.height)},On.bearing.get=function(){return-this.angle/Math.PI*180},On.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},On.pitch.get=function(){return this._pitch/Math.PI*180},On.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},On.fov.get=function(){return this._fov/Math.PI*180},On.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},On.zoom.get=function(){return this._zoom},On.zoom.set=function(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._constrain(),this._calcMatrices())},On.center.get=function(){return this._center},On.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},On.padding.get=function(){return this._edgeInsets.toJSON()},On.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},On.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Pn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Pn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Pn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},Pn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Pn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=En.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new Ln([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-v.zoom)-2;if(v.zoom===h||w>T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Pn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},On.unmodified.get=function(){return this._unmodified},Pn.prototype.zoomScale=function(t){return Math.pow(2,t)},Pn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Pn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},Pn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},On.point.get=function(){return this.project(this.center)},Pn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},Pn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Pn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Pn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Pn.prototype.coordinateLocation=function(t){return t.toLngLat()},Pn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Pn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},Pn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},Pn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},Pn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},Pn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},Pn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Pn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<u.y?u.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<u.x?u.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var v=p.y,g=u.y/2;v-g<a&&(i=a+g),v+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-m<s&&(n=s+m),y+m>l&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Pn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Pn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},Pn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Pn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var u=l[s];n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(Pn.prototype,On);var In=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};In.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},In.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},In.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),u=this._map.getPitch(),c=\"\";if(c+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||u)&&(c+=\"/\"+Math.round(10*l)/10),u&&(c+=\"/\"+Math.round(u)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+c):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+c),\"#\"+p.join(\"&\")}return\"#\"+c},In.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},In.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},In.prototype._updateHashUnthrottled=function(){var e=t.window.location.href.replace(/(#.+)?$/,this.getHashString());try{t.window.history.replaceState(t.window.history.state,null,e)}catch(t){}};var Dn={linearity:.3,easing:t.bezier(0,0,.3,1)},zn=t.extend({deceleration:2500,maxSpeed:1400},Dn),Rn=t.extend({deceleration:20,maxSpeed:1400},Dn),Fn=t.extend({deceleration:1e3,maxSpeed:360},Dn),Bn=t.extend({deceleration:1e3,maxSpeed:90},Dn),Nn=function(t){this._map=t,this.clear()};function jn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Un(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Nn.prototype.clear=function(){this._inertiaBuffer=[]},Nn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Nn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Nn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Un(r.pan.mag(),o,t.extend({},zn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,jn(s,l)}if(r.zoom){var u=Un(r.zoom,o,Rn);s.zoom=this._map.transform.zoom+u.amount,jn(s,u)}if(r.bearing){var c=Un(r.bearing,o,Fn);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),jn(s,c)}if(r.pitch){var f=Un(r.pitch,o,Bn);s.pitch=this._map.transform.pitch+f.amount,jn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Vn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),qn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),u=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),c=i.unproject(u);e.call(this,n,{points:s,point:u,lngLats:l,lngLat:c,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Hn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Gn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Gn.prototype.reset=function(){delete this._mousedownPos},Gn.prototype.wheel=function(t){return this._firePreventable(new Hn(t.type,this._map,t))},Gn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseup=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.dblclick=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseover=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.mouseout=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.touchstart=function(t){return this._firePreventable(new qn(t.type,this._map,t))},Gn.prototype.touchmove=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchend=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchcancel=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Wn=function(t){this._map=t};Wn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Wn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t))},Wn.prototype.mousedown=function(){this._delayContextMenu=!0},Wn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Vn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Wn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Vn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Wn.prototype.isEnabled=function(){return!0},Wn.prototype.isActive=function(){return!1},Wn.prototype.enable=function(){},Wn.prototype.disable=function(){};var Yn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Xn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Yn.prototype.isEnabled=function(){return!!this._enabled},Yn.prototype.isActive=function(){return!!this._active},Yn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Yn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Yn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Yn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Yn.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Yn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Yn.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Yn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Zn=function(t){this.reset(),this.numTouches=t.numTouches};Zn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Zn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Xn(n,r)))},Zn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Xn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Zn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Kn=function(t){this.singleTap=new Zn(t),this.numTaps=t.numTaps,this.reset()};Kn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Kn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Kn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Kn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Kn({numTouches:1,numTaps:2}),this._zoomOut=new Kn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var $n={};$n[0]=1,$n[2]=2;var Qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Qn.prototype._correctButton=function(t,e){return!1},Qn.prototype._move=function(t,e){return{}},Qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r)if(t.preventDefault(),function(t,e){var r=$n[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton))this.reset();else if(this._moved||!(e.dist(r)<this._clickTolerance))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Qn.prototype.mouseupWindow=function(t){this._lastPoint&&r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Qn.prototype.enable=function(){this._enabled=!0},Qn.prototype.disable=function(){this._enabled=!1,this.reset()},Qn.prototype.isEnabled=function(){return this._enabled},Qn.prototype.isActive=function(){return this._active};var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Qn),ei=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ni=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};ni.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},ni.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},ni.prototype.touchmove=function(t,e,r){if(this._active&&!(r.length<this._minTouches))return t.preventDefault(),this._calculateTransform(t,e,r)},ni.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},ni.prototype.touchcancel=function(){this.reset()},ni.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Xn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},ni.prototype.enable=function(){this._enabled=!0},ni.prototype.disable=function(){this._enabled=!1,this.reset()},ni.prototype.isEnabled=function(){return this._enabled},ni.prototype.isActive=function(){return this._active};var ii=function(){this.reset()};function ai(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}ii.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ii.prototype._start=function(t){},ii.prototype._move=function(t,e,r){return{}},ii.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},ii.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ai(r,e,i),s=ai(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},ii.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ai(n,e,a),l=ai(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},ii.prototype.touchcancel=function(){this.reset()},ii.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},ii.prototype.disable=function(){this._enabled=!1,this.reset()},ii.prototype.isEnabled=function(){return this._enabled},ii.prototype.isActive=function(){return this._active};function oi(t,e){return Math.log(t/e)/Math.LN2}var si=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(oi(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:oi(this._distance,r),pinchAround:e}},e}(ii);function li(t,e){return 180*t.angleWith(e)/Math.PI}var ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:li(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=li(t,this._startVector);return Math.abs(r)<e},e}(ii);function ci(t){return Math.abs(t.y)>Math.abs(t.x)}var fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ci(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ci(t)&&ci(e)&&a}},e}(ii),hi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=hi;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep,this._rotationDisabled=!1};function di(t){return t*(2-t)}pi.prototype.reset=function(){this._active=!1},pi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return this._rotationDisabled&&(n=0,i=0),{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:di,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},pi.prototype.enable=function(){this._enabled=!0},pi.prototype.disable=function(){this._enabled=!1,this.reset()},pi.prototype.isEnabled=function(){return this._enabled},pi.prototype.isActive=function(){return this._active},pi.prototype.disableRotation=function(){this._rotationDisabled=!0},pi.prototype.enableRotation=function(){this._rotationDisabled=!1};var vi=4.000244140625,gi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll([\"_onTimeout\"],this)};gi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},gi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},gi.prototype.isEnabled=function(){return!!this._enabled},gi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},gi.prototype.isZooming=function(){return!!this._zooming},gi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},gi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},gi.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%vi==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},gi.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},gi.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},gi.prototype.renderFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>vi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if(\"wheel\"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},gi.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},gi.prototype.reset=function(){this._active=!1};var yi=function(t,e){this._clickZoom=t,this._tapZoom=e};yi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},yi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},yi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},yi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var mi=function(){this.reset()};mi.prototype.reset=function(){this._active=!1},mi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},mi.prototype.enable=function(){this._enabled=!0},mi.prototype.disable=function(){this._enabled=!1,this.reset()},mi.prototype.isEnabled=function(){return this._enabled},mi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new Kn({numTouches:1,numTaps:1}),this.reset()};xi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},xi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},xi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},xi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},xi.prototype.touchcancel=function(){this.reset()},xi.prototype.enable=function(){this._enabled=!0},xi.prototype.disable=function(){this._enabled=!1,this.reset()},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var bi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};bi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},bi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},bi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},bi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var _i=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};_i.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},_i.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},_i.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},_i.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var wi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};wi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},wi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},wi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},wi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},wi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},wi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var Ti=function(t){return t.zoom||t.drag||t.pitch||t.rotate},ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ai(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var Mi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Nn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!0}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1],c=s[2];r.addEventListener(l,u,l===t.window.document?this.handleWindowEvent:this.handleEvent,c)}};Mi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},Mi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Gn(e,t));var n=e.boxZoom=new Yn(e,t);this._add(\"boxZoom\",n);var i=new Jn,a=new mi;e.doubleClickZoom=new yi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new xi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new fi;this._add(\"touchPitch\",s);var l=new ei(t),u=new ri(t);e.dragRotate=new _i(t,l,u),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",u,[\"mouseRotate\"]);var c=new ti(t),f=new ni(t);e.dragPan=new bi(r,c,f),this._add(\"mousePan\",c),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ui,p=new si;e.touchZoomRotate=new wi(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new gi(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var v=e.keyboard=new pi;this._add(\"keyboard\",v),this._add(\"blockableMapEvent\",new Wn(e));for(var g=0,y=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<y.length;g+=1){var m=y[g];t.interactive&&t[m]&&e[m].enable(t[m])}},Mi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},Mi.prototype.stop=function(t){if(!this._updatingCamera){for(var e=0,r=this._handlers;e<r.length;e+=1)r[e].handler.reset();this._inertia.clear(),this._fireEvents({},{},t),this._changes=[]}},Mi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},Mi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},Mi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},Mi.prototype.isMoving=function(){return Boolean(Ti(this._eventsInProgress))||this.isZooming()},Mi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},Mi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},Mi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},Mi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),u=0,c=this._handlers;u<c.length;u+=1){var f=c[u],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var v=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(v=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,v,h,n),v&&v.needsRenderFrame&&this._triggerRenderFrame()),(v||p.isActive())&&(o[h]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||Ai(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||Ai(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],m(this._map))}else this.stop(!0)},Mi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},Mi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],u=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,u)}this._updateMapTransform(e,r,n),this._changes=[]},Mi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!Ai(t))return this._fireEvents(e,r,!0);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,u=t.around,c=t.pinchAround;void 0!==c&&(u=c),n._stop(!0),u=u||n.transform.centerPoint;var f=i.pointLocation(a?u.sub(a):u);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,u),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r,!0)},Mi.prototype._fireEvents=function(e,r,n){var i=this,a=Ti(this._eventsInProgress),o=Ti(e),s={};for(var l in e){var u=e[l].originalEvent;this._eventsInProgress[l]||(s[l+\"start\"]=u),this._eventsInProgress[l]=e[l]}for(var c in!a&&o&&this._fireEvent(\"movestart\",o.originalEvent),s)this._fireEvent(c,s[c]);for(var f in o&&this._fireEvent(\"move\",o.originalEvent),e){var h=e[f].originalEvent;this._fireEvent(f,h)}var p,d={};for(var v in this._eventsInProgress){var g=this._eventsInProgress[v],y=g.handlerName,m=g.originalEvent;this._handlersById[y].isActive()||(delete this._eventsInProgress[v],p=r[y]||m,d[v+\"end\"]=p)}for(var x in d)this._fireEvent(x,d[x]);var b=Ti(this._eventsInProgress);if(n&&(a||o)&&!b){this._updatingCamera=!0;var _=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),w=function(t){return 0!==t&&-i._bearingSnap<t&&t<i._bearingSnap};_?(w(_.bearing||this._map.getBearing())&&(_.bearing=0),this._map.easeTo(_,{originalEvent:p})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:p})),w(this._map.getBearing())&&this._map.resetNorth()),this._updatingCamera=!1}},Mi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},Mi.prototype._requestFrame=function(){var t=this;return this._map.triggerRepaint(),this._map._renderTaskQueue.add((function(e){delete t._frameId,t.handleEvent(new ki(\"renderFrame\",{timeStamp:e})),t._applyChanges()}))},Mi.prototype._triggerRenderFrame=function(){void 0===this._frameId&&(this._frameId=this._requestFrame())};var Si=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){e=t.LngLatBounds.convert(e);var n=r&&r.bearing||0;return this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),n,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,u=s.project(t.LngLat.convert(e)),c=s.project(t.LngLat.convert(r)),f=u.rotate(-n*Math.PI/180),h=c.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),v=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/v.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/v.y;if(!(y<0||g<0)){var m=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=\"number\"==typeof i.offset.x?new t.Point(i.offset.x,i.offset.y):t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(b,_).rotate(n*Math.PI/180),T=x.add(w).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(T)),zoom:m,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),u=\"zoom\"in e?+e.zoom:a,c=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),v=i.pointLocation(d),g=t.LngLat.convert(e.center||v);this._normalizeCenter(g);var y,m,x=i.project(v),b=i.project(g).sub(x),_=i.zoomScale(u-a);e.around&&(y=t.LngLat.convert(e.around),m=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||u!==a,this._rotating=this._rotating||o!==c,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,u,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,m);else{var v=i.zoomScale(i.zoom-a),g=u>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},D=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=T<w?-1:1;D=Math.abs(Math.log(T/w))/_,I=function(){return 0},O=function(t){return Math.exp(z*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*D/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop(!1)}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Ei=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_toggleAttribution\",\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Ei.prototype.getDefaultPosition=function(){return\"bottom-right\"},Ei.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._compactButton=r.create(\"button\",\"mapboxgl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),this._innerContainer.setAttribute(\"role\",\"list\"),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Ei.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Ei.prototype._setElementTitle=function(t,e){var r=this._map._getUIString(\"AttributionControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)},Ei.prototype._toggleAttribution=function(){this._container.classList.contains(\"mapboxgl-compact-show\")?(this._container.classList.remove(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"false\")):(this._container.classList.add(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"true\"))},Ei.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\",this._setElementTitle(e,\"MapFeedback\")}},Ei.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"visibility\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ei.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Ei.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\",\"mapboxgl-compact-show\")};var Li=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Li.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},Li.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Li.prototype.getDefaultPosition=function(){return\"bottom-left\"},Li.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Li.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Li.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var Ci=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ci.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ci.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},Ci.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Ci.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Pi={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},Oi=t.window.HTMLImageElement,Ii=t.window.HTMLElement,Di=t.window.ImageBitmap,zi=60,Ri={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:zi,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Fi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Ri,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>zi)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new Pn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Ci,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Pi,e.locale),this._clickTolerance=e.clickTolerance,this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ii))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_onMapScroll\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1),t.window.addEventListener(\"orientationchange\",this._onWindowResize,!1)),this.handlers=new Mi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new In(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ei({customAttribution:e.customAttribution})),this.addControl(new Li,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&(r=e.getDefaultPosition?e.getDefaultPosition():\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.hasControl=function(t){return this._controls.indexOf(t)>-1},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&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 -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?zi:t)>zi)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Vn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Vn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Vn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Ye(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new Ye(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof Oi||Di&&r instanceof Di){var u=t.browser.getImageData(r),c=u.width,f=u.height,h=u.data;this.style.addImage(e,{data:new t.RGBAImage({width:c,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,v=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(v)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof Oi||Di&&r instanceof Di?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof Oi||Di&&r instanceof Di);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\"),this._canvas.setAttribute(\"role\",\"region\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)})),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new Sn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype._onMapScroll=function(t){if(t.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var u=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),c=u.crossFadingFactor();1===c&&c===this._crossFadingFactor||(o=!0,this._crossFadingFactor=c),this.style.update(u)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}var p=this._sourcesDirty||this._styleDirty||this._placementDirty;return p||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new t.Event(\"idle\")),!this._loaded||this._fullyLoaded||p||(this._fullyLoaded=!0),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"orientationchange\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext&&n.loseContext(),Bi(this._canvasContainer),Bi(this._controlContainer),Bi(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(Si);function Bi(t){t.parentNode&&t.parentNode.removeChild(t)}var Ni={showCompass:!0,showZoom:!0,visualizePitch:!1},ji=function(e){var n=this;this.options=t.extend({},Ni,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};ji.prototype._updateZoomButtons=function(){var t=this._map.getZoom(),e=t===this._map.getMaxZoom(),r=t===this._map.getMinZoom();this._zoomInButton.disabled=e,this._zoomOutButton.disabled=r,this._zoomInButton.setAttribute(\"aria-disabled\",e.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",r.toString())},ji.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},ji.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ui(this._map,this._compass,this.options.visualizePitch)),this._container},ji.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},ji.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},ji.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ui=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new ei({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new ri({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Vi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ui.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ui.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ui.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ui.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ui.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ui.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ui.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ui.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ui.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ui.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ui.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var qi={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Hi(t,e,r){var n=t.classList;for(var i in qi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Gi,Wi=function(e){function n(n,i){if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._scale=n&&n.scale||1,this._draggable=n&&n.draggable||!1,this._clickTolerance=n&&n.clickTolerance||0,this._isDragging=!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var a=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");a.setAttributeNS(null,\"display\",\"block\"),a.setAttributeNS(null,\"height\",\"41px\"),a.setAttributeNS(null,\"width\",\"27px\"),a.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");o.setAttributeNS(null,\"stroke\",\"none\"),o.setAttributeNS(null,\"stroke-width\",\"1\"),o.setAttributeNS(null,\"fill\",\"none\"),o.setAttributeNS(null,\"fill-rule\",\"evenodd\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"fill-rule\",\"nonzero\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),l.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,c=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<c.length;u+=1){var f=c[u],h=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");h.setAttributeNS(null,\"opacity\",\"0.04\"),h.setAttributeNS(null,\"cx\",\"10.5\"),h.setAttributeNS(null,\"cy\",\"5.80029008\"),h.setAttributeNS(null,\"rx\",f.rx),h.setAttributeNS(null,\"ry\",f.ry),l.appendChild(h)}var p=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");p.setAttributeNS(null,\"fill\",this._color);var d=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");d.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),p.appendChild(d);var v=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");v.setAttributeNS(null,\"opacity\",\"0.25\"),v.setAttributeNS(null,\"fill\",\"#000000\");var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),v.appendChild(g);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");x.setAttributeNS(null,\"fill\",\"#000000\"),x.setAttributeNS(null,\"opacity\",\"0.25\"),x.setAttributeNS(null,\"cx\",\"5.5\"),x.setAttributeNS(null,\"cy\",\"5.5\"),x.setAttributeNS(null,\"r\",\"5.4999962\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#FFFFFF\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\"),m.appendChild(x),m.appendChild(b),s.appendChild(l),s.appendChild(p),s.appendChild(v),s.appendChild(y),s.appendChild(m),a.appendChild(s),a.setAttributeNS(null,\"height\",41*this._scale+\"px\"),a.setAttributeNS(null,\"width\",27*this._scale+\"px\"),this._element.appendChild(a),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),Hi(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[r,-1*(24.6+r)],\"bottom-right\":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,qi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){if(!this._isDragging){var r=this._clickTolerance||this._map._clickTolerance;this._isDragging=e.point.dist(this._pointerdownPos)>=r}this._isDragging&&(this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\")))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._pointerdownPos=t.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Yi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Xi=0,Zi=!1,Ki=function(e){function n(r){e.call(this),this.options=t.extend({},Yi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Gi?n(Gi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Gi=\"denied\"!==t.state,n(Gi)})):(Gi=!!t.window.navigator.geolocation,n(Gi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Xi=0,Zi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Zi)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Wi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Wi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Xi--,Zi=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Xi>1?(e={maximumAge:6e5,timeout:0},Zi=!0):(e=this.options.positionOptions,Zi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Ji={maxWidth:100,unit:\"metric\"},$i=function(e){this.options=t.extend({},Ji,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?ta(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):ta(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?ta(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?ta(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):ta(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function ta(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}$i.prototype.getDefaultPosition=function(){return\"bottom-left\"},$i.prototype._onMove=function(){Qi(this._map,this._container,this.options)},$i.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},$i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},$i.prototype.setUnit=function(t){this.options.unit=t,Qi(this._map,this._container,this.options)};var ea=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};ea.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},ea.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},ea.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},ea.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},ea.prototype._isFullscreen=function(){return this._fullscreen},ea.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},ea.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var ra={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\"},na=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \"),ia=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ra),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.setOffset=function(t){return this.options.offset=t,this._update(),this},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createCloseButton=function(){this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=aa(this.options.offset);if(!a){var s,l=this._container.offsetWidth,u=this._container.offsetHeight;s=i.y+o.bottom.y<u?[\"top\"]:i.y>this._map.transform.height-u?[\"bottom\"]:[],i.x<l/2?s.push(\"left\"):i.x>this._map.transform.width-l/2&&s.push(\"right\"),a=0===s.length?\"bottom\":s.join(\"-\")}var c=i.add(o[a]).round();r.setTransform(this._container,qi[a]+\" translate(\"+c.x+\"px,\"+c.y+\"px)\"),Hi(this._container,a,\"popup\")}},n.prototype._focusFirstElement=function(){if(this.options.focusAfterOpen&&this._container){var t=this._container.querySelector(na);t&&t.focus()}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function aa(e){if(e){if(\"number\"==typeof e){var r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return{center:new t.Point(0,0),top:new t.Point(0,e),\"top-left\":new t.Point(r,r),\"top-right\":new t.Point(-r,r),bottom:new t.Point(0,-e),\"bottom-left\":new t.Point(r,-r),\"bottom-right\":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return{center:n,top:n,\"top-left\":n,\"top-right\":n,bottom:n,\"bottom-left\":n,\"bottom-right\":n,left:n,right:n}}return{center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),\"top-left\":t.Point.convert(e[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(e[\"top-right\"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),\"bottom-left\":t.Point.convert(e[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(e[\"bottom-right\"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return aa(new t.Point(0,0))}var oa={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Fi,NavigationControl:ji,GeolocateControl:Ki,AttributionControl:Ei,ScaleControl:$i,FullscreenControl:ea,Popup:ia,Marker:Wi,Style:Ye,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Ft.workerCount},set workerCount(t){Ft.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return oa})),r}()},3108:function(t,e,r){\"use strict\";t.exports=r(26099)},26099:function(t,e,r){\"use strict\";var n=r(64928),i=r(32420),a=r(51160),o=r(76752),s=r(55616),l=r(31264),u=r(47520),c=r(18400),f=r(72512),h=r(76244);function p(t,e){for(var r=e[0],n=e[1],a=1/(e[2]-r),o=1/(e[3]-n),s=new Array(t.length),l=0,u=t.length/2;l<u;l++)s[2*l]=i((t[2*l]-r)*a,0,1),s[2*l+1]=i((t[2*l+1]-n)*o,0,1);return 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t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst 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float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 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return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign 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t.offset&&(t.offset=[t.offset,0]),this.positionOffset=m(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var u=t.family.join(\", \"),c=[t.style];t.style!=t.variant&&c.push(t.variant),t.variant!=t.weight&&c.push(t.weight),_&&t.weight!=t.stretch&&c.push(t.stretch),e.font[r]={baseString:i,family:u,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(u,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:c.join(\" \")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,v(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=c.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),c.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=c.mallocUint8(this.count),P=c.mallocFloat(2*this.count);this.textWidth=[];for(var O=0,I=0;O<this.counts.length;O++){for(var D=this.counts[O],z=this.font[O]||this.font[0],R=this.fontAtlas[O]||this.fontAtlas[0],F=0;F<D;F++){var B=this.text.charAt(I),N=this.text.charAt(I-1);if(C[I]=R.ids[B],P[2*I]=z.width[B],F){var j=P[2*I-2],U=P[2*I],V=P[2*I-1]+.5*j+.5*U;if(this.kerning){var q=z.kerning[N+B];q&&(V+=.001*q)}P[2*I+1]=V}else P[2*I+1]=.5*P[2*I];I++}this.textWidth.push(P.length?.5*P[2*I-2]+P[2*I-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),c.freeUint8(C),c.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),c=x(s*i);n.width=l,n.height=c,n.rows=s,n.cols=o,n.em&&n.texture({data:u({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,c],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,-1*(i+=\"number\"==typeof t?t-n.baseline:-n[t])}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=c.mallocUint8(G);for(var W=(t.color.subarray||t.color.slice).bind(t.color),Y=0;Y<G;Y+=4)H.set(l(W(Y,Y+4),\"uint8\"),Y)}else{var X=t.color.length;H=c.mallocUint8(4*X);for(var Z=0;Z<X;Z++)H.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var K=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(K);for(var J=0;J<this.batch.length;J++)this.batch[J]={count:this.counts.length>1?this.counts[J]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[J]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*J,4*J+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[J]:this.opacity,baseline:null!=this.baselineOffset[J]?this.baselineOffset[J]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[J]?this.alignOffset[J]:this.alignOffset[0]:0,atlas:this.fontAtlas[J]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*J,2*J+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},t.exports=T},55212:function(t,e,r){\"use strict\";var n=r(55616);function 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n=t.segments({inverted:!1,regions:[]}),i=0;i<e.coordinates.length;i++)n=t.selectUnion(t.combine(n,r(e.coordinates[i])));return t.polygon(n)}throw new Error(\"PolyBool: Cannot convert GeoJSON object to PolyBool polygon\")},fromPolygon:function(t,e,r){function n(t,r){return e.pointInsideRegion([.5*(t[0][0]+t[1][0]),.5*(t[0][1]+t[1][1])],r)}function i(t){return{region:t,children:[]}}r=t.polygon(t.segments(r));var a=i(null);function o(t,e){for(var r=0;r<t.children.length;r++)if(n(e,(s=t.children[r]).region))return void o(s,e);var a=i(e);for(r=0;r<t.children.length;r++){var s;n((s=t.children[r]).region,e)&&(a.children.push(s),t.children.splice(r,1),r--)}t.children.push(a)}for(var s=0;s<r.regions.length;s++){var l=r.regions[s];l.length<3||o(a,l)}function u(t,e){for(var r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var c=[];function f(t){var e=[u(t.region,!1)];c.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return u(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return c.length<=0?{type:\"Polygon\",coordinates:[]}:1==c.length?{type:\"Polygon\",coordinates:c[0]}:{type:\"MultiPolygon\",coordinates:c}}};t.exports=e},72200:function(t,e,r){var n=r(48088);t.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return i=t.isStart,a=t.pt,o=r,s=n.isStart,l=n.pt,u=n.other.pt,(0!==(c=e.pointsCompare(a,l))?c:e.pointsSame(o,u)?0:i!==s?i?1:-1:e.pointAboveOrOnLine(o,s?l:u,s?u:l)?1:-1)<0;var i,a,o,s,l,u,c}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var 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y,m,x=g();if(x)t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(x.seg.myFill.above=!x.seg.myFill.above):x.seg.otherFill=h.seg.myFill,r&&r.segmentUpdate(x.seg),h.other.remove(),h.remove();if(a.getHead()!==h){r&&r.rewind(h.seg);continue}t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=v?v.seg.myFill.above:i,h.seg.myFill.above=m?!h.seg.myFill.below:h.seg.myFill.below):null===h.seg.otherFill&&(y=v?h.primary===v.primary?v.seg.otherFill.above:v.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:y,below:y}),r&&r.status(h.seg,!!d&&d.seg,!!v&&v.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(b.prev)&&s.exists(b.next)&&c(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var 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r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},11403:function(t){t.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn(\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},u=s,c=0;c<n.length;c++){var f=(g=n[c])[0],h=(g[1],g[g.length-1]);if(g[g.length-2],e.pointsSame(f,a)){if(k(c,!0,!0))break}else if(e.pointsSame(f,o)){if(k(c,!0,!1))break}else if(e.pointsSame(h,a)){if(k(c,!1,!0))break}else if(e.pointsSame(h,o)&&k(c,!1,!1))break}if(u===s)return 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],u=o[0],c=o[1];e.pointsCollinear(l,s,u)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,u,c)&&(r&&r.chainRemoveHead(i,u),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},82368:function(t){function e(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r},9696:function(t,e,r){\"use 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this.big_endian?16777216*r[t]+65536*r[t+1]+256*r[t+2]+r[t+3]:r[t]+256*r[t+1]+65536*r[t+2]+16777216*r[t+3]},n.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},n.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},n.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return this.read_uint32(e);case 9:return 0|this.read_uint32(e);default:return null}},n.prototype.scan_ifd=function(t,n,i){var a=this.read_uint16(n);n+=2;for(var o=0;o<a;o++){var s=this.read_uint16(n),l=this.read_uint16(n+2),u=this.read_uint32(n+4),c=this.exif_format_length(l),f=u*c,h=f<=4?n+8:this.read_uint32(n+8),p=!1;if(h+f>this.input.length)throw e(\"unexpected EOF\",\"EBADDATA\");for(var d=[],v=h,g=0;g<u;g++,v+=c){var y=this.exif_format_read(l,v);if(null===y){d=null;break}d.push(y)}if(Array.isArray(d)&&2===l&&(d=r(String.fromCharCode.apply(null,d)))&&\"\\0\"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===i({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:u,entry_offset:n+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);n+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(n)})},t.exports.ExifParser=n,t.exports.get_orientation=function(t){var e=0;try{return new n(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},44600:function(t,e,r){\"use strict\";var n=r(9696).eW,i=r(9696).eI;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return 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t=l(t,\"float64\"),r.count=Math.floor(t.length/2),r.bounds=n(t,2),r.offset=e,e+=r.count,t}},{color:function(t,e){var r=e.count;if(t||(t=\"transparent\"),!Array.isArray(t)||\"number\"==typeof t[0]){var n=t;t=Array(r);for(var a=0;a<r;a++)t[a]=n}if(t.length<r)throw Error(\"Not enough colors\");for(var o=new Uint8Array(4*r),s=0;s<r;s++){var l=i(t[s],\"uint8\");o.set(l,4*s)}return o},range:function(t,e,r){var n=e.bounds;return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=f(e.scale),e.translateFract=f(e.translate),t},viewport:function(t){var e;return Array.isArray(t)?e={x:t[0],y:t[1],width:t[2]-t[0],height:t[3]-t[1]}:t?(e={x:t.x||t.left||0,y:t.y||t.top||0},t.right?e.width=t.right-e.x:e.width=t.w||t.width||0,t.bottom?e.height=t.bottom-e.y:e.height=t.h||t.height||0):e={x:0,y:0,width:y.drawingBufferWidth,height:y.drawingBufferHeight},e}}]),c):c})),e||r){var h=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*h),_=new 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n=r(72160),i=r(76752),a=r(50896),o=r(26444),s=r(55616),l=r(47520),u=r(28912),c=r(71152),f=r(37816),h=f.float32,p=f.fract32,d=r(60463),v=r(51160),g=r(10272);function y(t,e){if(!(this instanceof y))return new y(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=y.shaders.has(t)?y.shaders.get(t):y.shaders.set(t,y.createShaders(t)).get(t),this.update(e)}t.exports=y,y.dashMult=2,y.maxPatternLength=256,y.precisionThreshold=3e6,y.maxPoints=1e4,y.maxLines=2048,y.shaders=new d,y.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\\n\"]),this.drawMarker=t(s);var l=c({},o);l.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius 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paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),v&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}x.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},x.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},x.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},x.prototype.drawItem=function(t,e){var r,n=this.groups,o=n[t];if(\"number\"==typeof e&&(t=e,o=n[e],e=null),o&&o.count&&o.opacity){o.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,o,e));for(var s=[],l=1;l<o.activation.length;l++)o.activation[l]&&(!0===o.activation[l]||o.activation[l].data.length)&&s.push.apply(s,function(t){if(Array.isArray(t))return a(t)}(r=this.getMarkerDrawOptions(l,o,e))||function(t){if(\"undefined\"!=typeof Symbol&&null!=t[Symbol.iterator]||null!=t[\"@@iterator\"])return Array.from(t)}(r)||i(r)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}());s.length&&this.drawMarker(s)}},x.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,u=e.count;if(this.regl,!a)return r?[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var f=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(u),v=0;v<r.length;v++){var g=r[v];d[g]=p?p[g]:1}l.subdata(d)}for(var y=h.length;y--;){var m=n(h[y],2),x=m[0],b=m[1];f.push(c({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return f},x.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,l=this.maxSize,f=this.maxColors,v=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=h(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=c({},x.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var m=0,b=0;if(p(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=x.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=x.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=x.defaults.color),e=t.updateColor(e),b++,e},borderColor:function(e,r){return null==e&&(e=x.defaults.borderColor),e=t.updateColor(e),b++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,l=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=d(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?s(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=g.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:g.fract32(t,p),usage:\"dynamic\"}),l({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var u=t.addMarker(e[s]);a[u]||(a[u]=new Uint8Array(r.count)),a[u][s]=1}for(var c=0;c<a.length;c++)if(a[c]){var f={data:a[c],type:\"uint8\",usage:\"static\"};i[c]?i[c](f):i[c]=o.buffer(f),i[c].data=a[c]}}else i[t.addMarker(e)]=!0;return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=g.fract(e.scale),e.translateFract=g.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/l),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/l);A({data:M,usage:\"dynamic\"})}if(b){var E,L=n,C=L.count,P=L.color,O=L.borderColor,I=L.colorBuffer;if(t.tooManyColors){if(P.length||O.length){E=new Uint8Array(8*C);for(var D=0;D<C;D++){var z=P[D];E[8*D]=v[4*z],E[8*D+1]=v[4*z+1],E[8*D+2]=v[4*z+2],E[8*D+3]=v[4*z+3];var R=O[D];E[8*D+4]=v[4*R],E[8*D+5]=v[4*R+1],E[8*D+6]=v[4*R+2],E[8*D+7]=v[4*R+3]}}}else if(P.length||O.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%f,E[4*F+1]=Math.floor(P[F]/f)),null!=O[F]&&(E[4*F+2]=O[F]%f,E[4*F+3]=Math.floor(O[F]/f))}I({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},x.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},x.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var s=0;s<t.length;s+=4)a.push(t.slice(s,s+4));else for(var u=0;u<t.length;u+=4)a.push(t.subarray(u,u+4));t=a}for(var c=0;c<t.length;c++){var f=t[c];f=o(f,\"uint8\");var h=l(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[c]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},x.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},x.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var b=r(50896);t.exports=function(t,e){var r=new m(t,e),n=r.render.bind(r);return b(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},55795:function(t,e,r){\"use strict\";var n=r(38540),i=r(55616),a=r(76752),o=r(3951),s=r(67752),l=r(51160),u=r(47520);function c(t,e){if(!(this instanceof c))return new c(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x,s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y,l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}t.exports=c,c.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},c.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,u=0;u<l.length;u++)i.push(this.passes[l[u]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},c.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values 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Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(u(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var c=0;c<s.columns;c++)s.bounds[c]=a(o.data[c],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var v=s.columns,g=s.count,y=s.viewport.width,m=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=y/v,w=m/v;s.passes=[];for(var T=0;T<v;T++)for(var k=0;k<v;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:g,stride:v},y:{buffer:s.buffer,offset:T,count:g,stride:v}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],O=E[3];M.viewport=[x+L*y+S[0],b+C*m+S[1],x+P*y-S[2],b+O*m-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},c.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var u=e[i],c=this.traces[i],f=c.passes,h=c.passOffset;f=f.map((function(t,e){n[h+e]=u}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},c.prototype.destroy=function(){return this.traces.forEach((function(t){t.buffer&&t.buffer.destroy&&t.buffer.destroy()})),this.traces=null,this.passes=null,this.scatter.destroy(),this}},28624:function(t){t.exports=function(){function t(t,e){this.id=W++,this.type=t,this.data=e}function e(t){if(0===t.length)return[];var r=t.charAt(0),n=t.charAt(t.length-1);if(1<t.length&&r===n&&('\"'===r||\"'\"===r))return['\"'+t.substr(1,t.length-2).replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];if(r=/\\[(false|true|null|\\d+|'[^']*'|\"[^\"]*\")\\]/.exec(t))return e(t.substr(0,r.index)).concat(e(r[1])).concat(e(t.substr(r.index+r[0].length)));if(1===(r=t.split(\".\")).length)return['\"'+t.replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];for(t=[],n=0;n<r.length;++n)t=t.concat(e(r[n]));return t}function r(t){return\"[\"+e(t).join(\"][\")+\"]\"}function n(t){return\"string\"==typeof t?t.split():t}function i(t){return\"string\"==typeof t?document.querySelector(t):t}function a(t){var e,r,a,o,s=t||{};t={};var 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.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,n.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 i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.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 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((i.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year()+(i.year()<0?1:0),e=i.month(),(r=i.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},65168:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.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,n.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 i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.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)}}),n.calendars.ethiopian=a},2084:function(t,e,r){var n=r(38700),i=r(50896);function 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},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){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(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 i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(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 o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return 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e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},24747:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.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 i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},65616:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.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(\".\")).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,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return 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o=n.instance(\"gregorian\");i(a.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 e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===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 i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},73040:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.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,n.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,n.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 i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.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,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=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var u=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,u)},_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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e=this._validate(t,this.minMonth,this.minDay,n.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,n.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 i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.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 i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.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)}}),n.calendars.taiwan=o},4592:function(t,e,r){var n=r(38700),i=r(50896),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.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 i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.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)}}),n.calendars.thai=o},45348:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n=r(50896);function i(){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 a(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 o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.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()).newDate(t,e,r)},substituteDigits:function(t){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]}}}),n(a.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?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.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 a(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?\"-\":\"\")+o(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 n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day(),\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(t){return this.newDate(t.getFullYear(),t.getMonth()+1,t.getDate())}});var u=t.exports=new i;u.cdate=a,u.baseCalendar=s,u.calendars.gregorian=l},15168:function(t,e,r){var n=r(50896),i=r(38700);n(i.regionalOptions[\"\"],{invalidArguments:\"Invalid arguments\",invalidFormat:\"Cannot format a date from another calendar\",missingNumberAt:\"Missing number at position {0}\",unknownNameAt:\"Unknown name at position {0}\",unexpectedLiteralAt:\"Unexpected literal at position {0}\",unexpectedText:\"Additional text found at end\"}),i.local=i.regionalOptions[\"\"],n(i.cdate.prototype,{formatDate:function(t,e){return\"string\"!=typeof 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",
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       "            Plotly.purge(gd);\n",
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
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   ],
   "source": [
    "from encodermap.plot.plotting import _plot_free_energy\n",
    "from PIL import Image\n",
    "\n",
    "fig = make_subplots(\n",
    "    cols=4,\n",
    "    rows=1,\n",
    "    subplot_titles=[\n",
    "        \"classical MDS\", \"\", \"highd trace\", \"Cluster 1\",\n",
    "    ],\n",
    "    column_widths=[1, 1, 0.2, 1],\n",
    "    horizontal_spacing=0.05,\n",
    "    vertical_spacing=0.05,\n",
    ")\n",
    "\n",
    "fig.add_trace(\n",
    "    _plot_free_energy(\n",
    "        x=subsample.MDS_lowd[:, 0],\n",
    "        y=subsample.MDS_lowd[:, 1],\n",
    "        bins=35\n",
    "    ),\n",
    "    row=1,\n",
    "    col=1,\n",
    ")\n",
    "\n",
    "fig.add_trace(\n",
    "    go.Scattergl(\n",
    "        x=subsample.MDS_lowd[::5, 0],\n",
    "        y=subsample.MDS_lowd[::5, 1],\n",
    "        marker_color=\"rgba(120, 120, 120, 0.1)\",\n",
    "        mode=\"markers\",\n",
    "        name=\"\",\n",
    "        showlegend=False,\n",
    "    ),\n",
    "    row=1,\n",
    "    col=2,\n",
    ")\n",
    "\n",
    "cluster_lowd = subsample.MDS_lowd[subsample._user_selected_points == 0]\n",
    "fig.add_trace(\n",
    "    go.Scattergl(\n",
    "        x=cluster_lowd[:, 0],\n",
    "        y=cluster_lowd[:, 1],\n",
    "        marker_color=\"purple\",\n",
    "        marker_opacity=1.0,\n",
    "        marker_size=10,\n",
    "        mode=\"markers\",\n",
    "        name=\"\",\n",
    "        showlegend=False,\n",
    "    ),\n",
    "    row=1,\n",
    "    col=2,\n",
    ")\n",
    "\n",
    "# highd trace\n",
    "cluster_highd = subsample.SASA_dists[subsample._user_selected_points == 0]\n",
    "fig.add_trace(\n",
    "    go.Heatmap(\n",
    "        z=cluster_highd.T,\n",
    "        showlegend=False,\n",
    "        showscale=False,\n",
    "        colorscale=\"Viridis\",\n",
    "        hoverinfo=\"skip\",\n",
    "        name=\"\",\n",
    "        hovertemplate=\"\",\n",
    "    ),\n",
    "    row=1,\n",
    "    col=3,\n",
    ")\n",
    "\n",
    "# image\n",
    "image_file = figure_3_trained_nn_dir / f\"MDS/clusters/cluster0/cluster_0_chimeraX_render.png\"\n",
    "# with Image.open(image_file) as img:\n",
    "#     fig.add_trace(\n",
    "#         go.Image(z=np.asarray(img)),\n",
    "#         row=1,\n",
    "#         col=4,\n",
    "#     )\n",
    "    \n",
    "showstuff = False\n",
    "fig.for_each_xaxis(lambda x: x.update(showgrid=showstuff, showline=showstuff, zeroline=showstuff, showticklabels=showstuff))\n",
    "fig.for_each_yaxis(lambda x: x.update(showgrid=showstuff, showline=showstuff, zeroline=showstuff, showticklabels=showstuff))\n",
    "scales = {}\n",
    "identifier = 1\n",
    "for row in range(1, 4):\n",
    "    for col in range(1, 5):\n",
    "        if col in [1, 2] and row in [1, 2, 3]:\n",
    "            scales[f\"yaxis{identifier}\"] = {\n",
    "                \"scaleanchor\": f\"x{identifier}\",\n",
    "                \"scaleratio\": 1,\n",
    "            }\n",
    "        identifier += 1\n",
    "fig.update_layout(\n",
    "    {\n",
    "        \"width\": 1000,\n",
    "        \"height\": 300,\n",
    "        \"margin\": dict(t=40, b=0, r=0, l=0),\n",
    "    } | scales,\n",
    ")\n",
    "# fig.write_image(figure_3_trained_nn_dir / \"SI_figure3_MDS.svg\", scale=2)\n",
    "# fig.write_image(figure_3_trained_nn_dir / \"SI_figure3_MDS.png\", scale=2)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a177b02f-86dd-4e66-95fd-8482637d05c3",
   "metadata": {},
   "source": [
    "![If you can read this text, the image could not be found5.](MDS_render.png \"Title5\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3457492a-5981-46d5-aba5-227c92ae02e9",
   "metadata": {},
   "source": [
    "### PCA\n",
    "\n",
    "The idea behind PCA is to achieve a corrdinate transformation of all input points and all input dimensions, so that the first and second dimensions in the transoformed space exhibit the maximal variance. The dimensions after these two are usually dropped resulting in an embedding of high to low.\n",
    "\n",
    "The formulas in this section are taken from: https://medium.com/@nahmed3536/a-python-implementation-of-pca-with-numpy-1bbd3b21de2e\n",
    "\n",
    "1. **Standardize the Data (Optional but Common):**  \n",
    "   Each variable is centered by subtracting its mean and often scaled to have unit variance, ensuring that every variable contributes equally."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "decc80db-f8fe-4f0a-9471-46fcd951a115",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(55326, 304)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = H1Ub_trajs.SASA_dists.copy()\n",
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "d73ac4d8-e78d-4287-b8a9-7cb7e717d3c0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(55326, 304)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "standardized_data = (data - data.mean(axis = 0)) / data.std(axis = 0)\n",
    "standardized_data.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c1e89c7-eafe-4ce5-973b-2c73ee8dfa8e",
   "metadata": {},
   "source": [
    "2. **Compute the Covariance Matrix:**  \n",
    "   For the data matrix  $X$ (with rows as observations and columns as variables), the covariance matrix is calculated as  \n",
    "\n",
    "   \\begin{equation}\n",
    "   \\Sigma = \\frac{1}{n - 1} X^T X\n",
    "   \\end{equation}  \n",
    "   This matrix captures how each pair of variables varies together."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "d4f0f75d-56ee-4ac7-a32f-67fdfcb541f2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(304, 304)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "covariance_matrix = np.cov(standardized_data, ddof = 1, rowvar = False)\n",
    "covariance_matrix.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9ac02e48-df25-4cf7-ba11-bf3e45546645",
   "metadata": {},
   "source": [
    "3. **Compute Eigenvalues and Eigenvectors:**  \n",
    "   Solve the equation  \n",
    "   \\begin{equation}\n",
    "   \\Sigma v = \\lambda v\n",
    "   \\end{equation}\n",
    "   where the eigenvectors $v$ represent the directions of the principal components, and the eigenvalues $\\lambda$ indicate the amount of variance each component explains."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "9d076e04-ef16-429c-8411-ed6dfab930a7",
   "metadata": {},
   "outputs": [],
   "source": [
    "eigenvalues, eigenvectors = np.linalg.eig(covariance_matrix)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5c657724-e3cb-416a-96f2-b118aa47a6c5",
   "metadata": {},
   "source": [
    "4. **Rank Components by Variance:**  \n",
    "   Sort the eigenvalues (and their corresponding eigenvectors) in descending order. The eigenvector with the largest eigenvalue becomes the first principal component, holding the highest variance."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "b21d8cca-d8cf-4614-82e1-c8ad689a16c3",
   "metadata": {},
   "outputs": [],
   "source": [
    "order_of_importance = np.argsort(eigenvalues)[::-1] \n",
    "sorted_eigenvalues = eigenvalues[order_of_importance]\n",
    "sorted_eigenvectors = eigenvectors[:,order_of_importance]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ab832544-d280-4d49-be0b-29ba05e3d829",
   "metadata": {},
   "source": [
    "5. **Project the Data:**  \n",
    "   Form a matrix $W$ from the top $k$ eigenvectors and project the original data using the equation  \n",
    "   \\begin{equation}\n",
    "   Z = XW\n",
    "   \\end{equation}\n",
    "   This projection yields a lower-dimensional representation of the data that retains most of its significant information."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "960580d6-1d73-4fb2-a998-772b129c5ae3",
   "metadata": {},
   "outputs": [],
   "source": [
    "explained_variance = sorted_eigenvalues / np.sum(sorted_eigenvalues)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "34bd5645-2df8-47d0-be04-f989103ffd2a",
   "metadata": {},
   "source": [
    "6. **Reduce to the $k$ principial components.\n",
    "\n",
    "This can be done via `np.matmul`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "6c785855-fb4b-4dc4-ac70-a93d002a7187",
   "metadata": {},
   "outputs": [],
   "source": [
    "k = 2 # select the number of principal components\n",
    "reduced_data = np.matmul(standardized_data, sorted_eigenvectors[:,:k])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9cf937b1-28b3-4432-b48f-34ba5bed0679",
   "metadata": {},
   "source": [
    "Plot."
   ]
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   "cell_type": "code",
   "execution_count": 27,
   "id": "ee7cac8b-0dd2-4b6d-93a2-518caf597ab0",
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   "source": [
    "px.scatter(x=reduced_data[:, 0], y=reduced_data[:, 1])"
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  {
   "cell_type": "markdown",
   "id": "223d5203-2529-4e9c-acc0-5735cc733c41",
   "metadata": {},
   "source": [
    "#### SciKit Learn implementation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "b6381bbd-bd81-4525-afcf-32f7d0ceb961",
   "metadata": {},
   "outputs": [],
   "source": [
    "pca = PCA(n_components=0.99)\n",
    "X = pca.fit_transform(H1Ub_trajs.SASA_dists)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "b0bb8a91-1eb8-4387-9587-b10f8097a312",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(55326, 30)"
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     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "X.shape"
   ]
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   "cell_type": "code",
   "execution_count": 30,
   "id": "52535a42-a5df-4957-a6ad-53f94841af24",
   "metadata": {},
   "outputs": [],
   "source": [
    "H1Ub_trajs.load_CVs(X[:, :2], \"PCA_lowd\")"
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  },
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   "cell_type": "code",
   "execution_count": 31,
   "id": "25906b87-653e-4bcf-a899-5db8391ec2a1",
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SRicnlhACIp6UkIGQbvgiIOKJL3xycgkgIOJJCRiEUtAFEU98DpKIJz4Byuk5JVDWxBPt/9OU3PtgbA6TY7uF0bWTVM/J6cOWpcZFPMkSWLlssREQ8aTYUEtDWSQg4kkW4cqli4WAiCfFgrnUNyLiic8hFPHEJ0A5PacEypp4UlgIPPBwrHhSsSJw+SUhVK+WU9zSeBYIiHiSBahyyWIlIOJJseKWxrJEQMSTLIGVyxYbARFPig11qW5IxBOfwyfiiU+AcnpOCZQ28WTLVmD2HBU1agDND3GvhvPkswH8809sstej22s48XipoJPTBy4LjYt4kgWocsliJSDiSbHilsayREDEkyyBlcsWGwERT4oNdaluSMQTn8Mn4olPgHJ6TgmUJvFk4UJgxOiIV8kBB+i45IKwkeTVbitWKRj6eiTnifW3Q5rq6H92OKe8pfHMExDxJPNM5YrFS0DEk+LlLa1lh4CIJ9nhKlctPgIinhQf69LckognPkdPxBOfAOX0nBIoTeIJw3EYlmO3nsdp6Hh0rDfJsBFBLPk9+tjOnTT06CaeJzl94LLQuIgnWYAqlyxWAiKeFCtuaSxLBEQ8yRJYuWyxERDxpNhQl+qGRDzxOXwinvgEKKfnlEBpEU/CYeC+QbG5TLp20XFsl1hvkg0bgREjg1i/wcTbsIGO8weEEYh1SMkpf2ncPwERT/wzlCvkloCIJ7nlL61nhoCIJ5nhKFfJHQERT3LHvjS1LOKJz9ES8cQnQDk9pwRKi3hCSA8/XoAdO6Ir5vQ6UcNRR3h7k2zfDiOsp0KFnGKWxrNIQMSTLMKVSxcLARFPigWzNJJlAiKeZBmwXD7rBEQ8yTriMtGAiCc+h1HEE58A5fScEihN4snvSxW8PSIAbY9+0qghcP7AEJTY3LA5ZSqNFy8BEU+Kl7e0lnkCIp5knqlcsfgJiHhS/MzLQotz56r4Y4WOYEBF48ZhNGmcu7sS8SR37EtTyyKe+BwtEU98ApTTc0qgNIknBLW7EFi5UkHVqjpq1sgpOmm8hBAQ8aSEDIR0I20CIp6kjU5OLEEERDwpQYNRSrry03QFn34eHU99br8wmjaJ9jIurtsR8aS4SJfudkQ88Tl+Ip74BCin55RAaRNPcgpLGi+RBEQ8KZHDIp1KgYCIJynAkkNLLAERT0rs0Hh2TNeRU+9dt0IAjQ/Scd65uamMKOJJ6XuGc9FjEU98UhfxxCdAOT2nBEQ8ySl+aTwDBEQ8yQBEuUROCYh4klP80niGCIh4kiGQxXCZn6ap+OxLFRRPqu6t46wzNNSvX/zeHv+7P7YQQK3aOq66VMSTbD4G1rwpm22U5WuLeOJzdEU88QlQTs8pARFPcopfGs8AARFPMgBRLpFTAiKe5BS/NJ4hAiKeZAhknMvs3AVMnapAg4oqlXUcebh7wnyKIt9NVLF8hWqEObdtrRlVB2lLflcwbER0qAyT6t9xSyj7N+Bo4d2xKubNV6P+tUtnDd27ehcCyHQnyePH6QH88w9wyMEa+p1eDuv+2ZnpZkrU9UQ88TccIp744wcRT3wClNNzSkDEk5zil8YzQEDEkwxAlEvklICIJznFL41niICIJxkC6XEZ5nx77kUu8iNZ8pscrGPAObFeGsNHBrBoceQ4Jta/7OIw6tbRDVGF/zntxuvDhhdKcVooBIx6L4hFi8xWW7XU0ef04vM6WbpMwZvDooWkVs0V9OlTWJwYir0tEU/8IRfxxB8/EU988pPTc0tAxJPc8pfW/RMQ8cQ/Q7lCbgmIeJJb/tJ6ZgiIeJIZjl5XmThJwfgJ0Qt9HnvnbSGULxc5KxwG7hsUGw7TtbOGTh01fDshgB+mxpYpdF4nnbthQv8lSxXDK+bwdsUrxKTT36++UfH9lFgh6b67y3YlRxFP0nlaIueIeOKPn4gnPvnJ6bklUJLEk8IQEAgAqpQezu1DUcpaT1U8mT1XxZ9/AcEAcGgLDbX2L2U3LN0tcwREPClzQ5qXNyTiSXaH3ctj5L//CaNatYhQwbnUAw/FiiflyinYvdtd0Gh8EHDeuf7CdiZOVjD+u4i4c0BdHZdeFM5pQtpEI/LFVyqm/CjiSSJO8vdoAiKe+HwiJGzHJ0A5PacESoJ48tffwOgxAWzYaKomnTrqOK578blt5nQASlDjjJGe+pOKbduA8uV0dOigoyB2/lWCemx2JZF4wl24GTNV7NihY8dOBVOmRiZKqgpceVkI++9X4m5LOpRHBMqiePL3WhhhAwcdqKNOnTwazDy+1eIUT1auUozcHcx4esThOipXLvvgFy4ERoyO/ihzw+l/d0R7SazfAAx+IbWP9203hVCpUnyG69crGPNBAH/+aVboaX+UhhOPN3OTMPzmflfBBti929wYO7V3GK0PK1neKL8uVDBydLQ3T5ODVAw4d3eZfqDE88Tf8Ip44o+feJ745Cen55ZASRBPnnsxiHXrozmcdUYYLQ8tWR/Z3I5U9ltn3C/jfy2rUxu4/JKS77oaTzz5918dQ94owMaN3vw6H6Ohx7HFl5wu+yMpLZQ2AmVNPBn/nYqJkyMi5eFtNZzSW35jpe25TLW/xSWe/LZQxTujI88XRf5LLgqhdq1Ue5z74//ZquCvv3Q0rA+ULx+/P/Q8+WFqoMh7pKAccG6/MBo11PHLTAUz56gIFQKr16TuvstqO+UKNLz3YRC7dsHwyDyldxj0HrHsxVeC4GaX3U47OYy2bXRs3gw8NTixYDOwfwgHN849d3sPZs5W8NkX5Ao0b6bj0oEF2LJDEsaWrFEqWb0R8cTneIjniU+AcnpOCeRaPPGMze2i49gu4n1SXA8HxYVnno+d+Jx+ahhtSthOkZNJPPHkm28DmPR9/Ilkh/YaTtize1ZcvKUdIWAnUJbEk61bgcefjn2XXHZxCAfUlXEvywSKSzx54JEgCh2OAUe3j3hBlBbG744NYN78yPeJiVKZMNXN3v8ogFmzo79lTBTLhLEzZir46JPYXCipcOh9ooZxn0eHr+y1l4JbbzQTp9Iz9Z4HYn/XFnft/7XRex9MLJ50LeFzu2BAQfUq5bF2s4gnqTw/+XasiCc+R1zEE58A5fScEsi1eMIPMj+4/F+7saTeuvUq6DnQoAHdPUOoWSOnqMp04ytWKBj6Zuzkq3s3DV065WbHeMMGBZ9+EcCS34H99wdO7GnusKUinnw8TsXPv8TGM9uv0fdMzch9IiYEckWgLIknCxcBI0bFLqK6dwujSyfxJszVM1Yc7RaXePK/+2OfL3qq0mM1FeO8gwlOy5XXiz331fxfFSNc2Wl33RZCOVvyV+vvbvdcv56OfmeF8c4oFavWxP/OxePSsAFwYEPNtQLP9f8JoXo182y3PnQ+RkePY03u8xaoePe9+P3o2kXDsV1K7vdWxJNUfkH5e6yIJz7HXsQTnwDl9JwSKG7xpLAQ4A6F3T2Vmc6Z8dyyYNCMn7VbzZrAtVf5S2aWU9AlvHF6AA16LGi4/NrtxutCqFo1N51/5vkANu7Jg8MeMMb6xusKsffe0btv8TxPWFVgwqTo4+nqzF1LxmD36KahY4eSO5HLDXlptbgJlCXx5N9/gUefjF3cXnVZCLVKYVhFcT8Lpbm94hJPXng5CObUsRtFfor9yRpDW95+J4jt201Br05tHReeF04YOpPs9RMd55X8lUlbmbzVaW7CBY+pUhmoUIGbTamF6jDPV7NmupHfrOPRGiZMVPGtS/nim/9biCpVzGt/NC6AGb9Et3PFJaGonEbbdwBLlyrYt6aOL74O4PelkeOZY+yaK0LgfC5Ttm2bDlVVEuZrSbY9EU+SJZXfx4l44nP8RTzxCVBOzykBv+IJd264qPWymbMUbPpHwV6VgMVLFCOBIG2/fYF2bTXs3KGjRXNg4yZgzV8qVOhYuFhxjdm9/ZZCVKyQ2gQhp3BLWeN/LFMw9sMAtmwBKpRX0OeMkOESnAtjDhzmwnFa964aunSOniDHE08KQzreGBbEqlXmc8OkggPPCaF27VzclbQpBNwJlCXxhHc4eYqCr7+J7KpzcdbzuOQXtvKclE4CxSWeUPgYPjJoeKbS6IFB4YOCeLL20pCgkfjUbumEcL7/YQCz5pjfl6ZNdJzdJwxuANGYO+THaQp0XUHbNmHsvUeE4N9+mqbi0y9ivTRuuaEQlSvHznOGj1SxaLG7V0eF8sDOXd533qyphtNO1fDTTyqYyoObV506aOBGgmUUIZ4eXABW6rEbBY9jOkTygk37WcW6dUC5AqB5cw114ySD5vyQmxcbN6qotJeOVofqqFsnM3MK5lh5e2QA69aZrHjd8weGQRZ+TMQTP/Ty51wRT3yOtYgnPgHK6TklkK54QiFkzPsB7NzJBamCM08PGVUV7DZ8ZKBILEl0k6efEkab1jqm/6zik8/cJwhe7qyJri1/T41AIkEstauld7RX8rmjj9ZQvkAxvJdq7c9wGz1htR32gNUHdu1SjN3FeGJfer2Vs4SAPwJlTTwhjW1bgZVr+JsDqu6dmQWTP8pydrYJZFs8WbJUwcqVQL0DdMM7Y/NmBQUFGpibI1Vz8+Q44AAdl12UfOjPtxNUTJgUPV9pdaiGPmdo+PMvYOibkdws/O5cMDCEAxtGejrkjYARNmQZK9Gccap7+xQ1xoxVwWS58YztHN5OQ5ODNFTaSzFYJWtMBvvzDBUzZ6kxIspJJ2hof6S7AMo5A4Ugzt/4fx/USEffPqGUNrt+mKoY98bkv23baji0efx+jxgZMDba7Hbk4Rp6n+RPpBXxJNmnJb+PE/HE5/iLeOIToJyeUwLpiCcsZfvYU9FeAdyduPPWEAoKzNvZtBl4OonM6/abv/euEL78WjXK5TqtSRNgQD8J20n0sJD7F18G8NsiBQccAPTsHkL9+onOSv3vDL/6cbqCUKFieKdkajfJ3pNXXw8UeYzw37lbxqmSfYeN8dMDzjC3mor7Xbx7l45du03xUASZ1J8hOSNCoCyKJzK++Ucgm+LJyHdV/PpbZG5Ab4pzzk59oUzh/fVhATDPl9OcVaFYCUeBjr2ruI+lm/cKj7z/fyHDi3P2Ho8U62zmbbv26uh5DAWHbf+aYUP0XLGMXiucT3FuZRn7/uAjwZiwZnvv9t5bx03XJy8Aud2Zm7B08EE6Bp4bfd2Fi1SMGqOCYb9Oczve6xfhrM7F4/qeGTY2R7zsnvuDcP7VjW+qv0IRT1Illp/Hi3jic9yLe8Lus7tyuhCIIpCOePL9FAVf2VyyrQued24YjQ8yP2dL/wDefDtx5nV7Zyi+TJ4SwKTJsTkq7rq15JfMLQmP1rPPB7HBVpaXbsw3XV+Y1s6c1/3Q7feVIUEj1MqybCRd3V2oY8LEAP5eq6BGdR07dypF7tH2vg191lTsivNdPPq9AOYvMJ/Tiv8fknZu3zDq1zef/RUrFWOSz4nuAXU1KbldEn4YJbwPIp6U8AGS7iVFIFviCb04Xno1dj7BUJ0DXZKIx+usV66RYIGCSy8sNMod0/Nx2IgA1m8w3/HMD8JcJFUcIsqwEUEjobndCsopuPu2Qjz3UtAIb3EahZV4tmy5gndGBYo2CZxVhJYuA94cFn9u5TdX2T0PFEB3ZPFv0ULH2WdGVBJ6cw5+IX4/Et2rxYFFA/i9tFujA3VcMNBbBHp6cACbNkfPFZs20XBuv9QFNXu7Ip4k9VPP+4NEPPH5CBTnhN1nV+V0IRBDIB3xxCtL/NVXhIxJBm13IfDgw6mJJ8xpsm6tGlP1hZnnd+9J8Hlcdw2MSy4u432sXcfFu5aSC2px9c/eDhPGPfeiW8WczFa5cEvCGiwA/nd7djyDrLw5fyxTsXx5LNkhzxQYnh/F9S7++RcFH4+L5ly1qo4brwsbu5nOqkUn9dTQ/qjie2Zz8exJm+4EGNbIHAGapqNdG60o8aLzaBFP5AkqCwSyJZ7MnK3gg49cvm0uObAScXRLespzbrsxhEp7mWePHB3ArwujF+Zt2+g47eTIYp6TukcmAAAgAElEQVTaAnO4jRgV3a9GBwLn9gvhiy9VTHdUeqtXV8elF0euMX0G87sxVEXHIU11I9yFniWc79itbx8NhzTRjHmVrul49Mk9Lr4eN3vLDSEjv1e6xkSvU6a6l0W2rjlhooJvJ3onmeE3+b67Y+cETCA7YybztyjGfXLTwc0LqF494NILvecUS5YCw4ZHzzEvOj8MVmr0YyKe+KGXP+eKeGIb65eGfYRRH36LwsIQOhxxKO6/+UJUqlgBK1avxR0PD8Gvi5ejbq2auP+Wi9C6RWPjzOKasOfPIyl3WpwE0hFP2L9Xhwawak3k49qggY6LzgsbcbJMJEZbvAQYOcas4ELX094nhg331JWrVSx2xKry+HvuCmHSJAXfTYqf9Y3lCFmWkGET4yeaoR377gscdXi4KBEoQ4s2blJQu5ZeFEqUKtc5cxW890GkL27JSlO9ZqaPp5fJnDkKypVT0LixBlYhcBoTNTJhY6aMlZFYIclpnChlOnzlreHR2fqdbbKE8aA7zAduwdKdUFVvF+tM3f8336qY9H3s/RthZ9+omPpj9N+YlO/u27IjLGXqnuQ6mSewdi0w5I2gkTSSpirAheeH0WCPh5K9RRFPMs9frlj8BLIlnnhtDFx6YRj16qW2WHZ7f9ND8547I+9ot7AVbuLcfksIn32uYvoM8x3PxPeHtdKM3Bt2AaBiRVYMVFBYGOkbf+MUTg6oa/6bW6jKGadreP+D2G9LpUpKUVWgihVgJH2NZ8l6fMS7BsWThYtVVKygo01rDU2bRB89bYaKcZ9651/Zay+gWxcNzENi2e9/AG8l6ZHcs0f8SnjLVyhY8BsFGAV7V2HhAc0YD7v984+CST8oWLVaRd06Gjq211GjRvznRcST4n9vlMYWRTzZM2pfTfwZg18bi9efuhWV96qA/9w1GO1aNcVV55+Kgf8ZhI5HtMTF/Xth4tRZeGjwcHw58gkUBAMinpTGp176XEQgHfGEJQJfeyMYlXuiQ3sdU340xRR+NBmvSnda7s7s3q0bi3trYc342JeHmOEYllnVGLzK5dmHzMqI78yJQe+HG68txBdfBTB7rvlRZ5vn9gunXDWGC55Bj8YKEc6yfLl8lBb/ruDtERFxh94PLNm3yRZOw0kcXXg58cuUcSd9nCOpbzZKSa9dBzz/krf3Esue9j0zhAa1KuKpF0NY/ac5KeLk9Oyzwqi6d6buOPo6bjtu1uSbXMjHaZmYzGbnbuSq2SJA7yR6KdnNKyGliCfZGgW5bnESyJZ4wnv48OMAfpkV+T0xwTwTzcczzj+mTFUNjw16YhzRTjOSzL48NFKimOf37RM2EpQydIRzhhdfiS2FzOOqVUPU95X/xo2bwt06Nv+TOGnt+QNChsjC7/FX4wPG/MhuzQ/RsMCW1yXdscv09+b3pWY4qpWol/1i3xlKxSSz8ax3rzCObGfe6OdfxW4uWOdaHijk36mjjh7Heo/ta28GQPHEsjNOC6N1q2iY7N9TgwOggGIZ56Y3XR+KW5VJxJN0n7r8Ok/Ekz3jPW/hH4bHSZtDDzb+5a0xX2LBomW45apzcEL/mzF13IsI7qmD1ufSe3Dr1efgiNaHiHiSX7+XMne36YgnH41TMcPhjuoEw+SeN98QKvJCcf49FAJ+mMJJjYI6dTS0aGZ++LZs0fH0cwWuCcisa3Q+RjNK5z30WOzCutb+iPmYBwPAnbfF/2Da+7dqtYJxnwWwxlHGkMcc20UDk5Q6ja6oP01XjQ81Y3X54U+lbGI6D9bjTwWwdVv0hI0TD2tCRq+MfmeGUKNmOlePf87oMQEwfIvGBHX9+4ZRJ07JQq+rhcOsfqNEJcWzjmXeECYJdNoJx2s4+iitSIz7+JNy+Hlm9JiwVCRdeK1dvnQJ0F38088CxuSb+XxYCaFceXpeBUFxx7IzTw/jsJY6GGL0wcfRnlMsz9jnDH8J/NLtv5yXOwJD3wgYCw670fvkXhdXdhFPcjdO0nLmCGRTPGEvmUtt5mwVHdqHUbtWYrHCucHCkJry5XX8+lvkXG707LuvjnfHRnKU7F1ZxxbHtzVzlLyvxApC5ctpmP9r/Io6vMJ5A8KYOVPB3PnRxzL05/wBmfveMCHsAlt/GF7U/2zz+vwu/jCFVRd1bNumGHMCZ+4Su2A8eozqeW9tDtNRZW8de+8NHNnO21OWHjEMK7Ib5z3XXBHG6j+B2vvr4NyHSfOZOyZm/nCchg5xPHHt4snuXUBhWMdelRI/a8XxfGSyjTo1Kmbycnl3LRFPPIb8ilufQvdObXFQg7q4/6m38OEbDxYdedP9L+Gots1wVu+uIp7k3U+mbN1wOuLJkNcDWLkquY8JvQPo+WEvVanpwMhRquESSmOlFsYIs2oJjeLFjz+poKtuxYo6lv4R3RZL0VWqpOPd9+KH99hHirlYLrsoBIZQ2G3OXBUMQ/l3O9C2tYaex2t48pkC7Njh7to5sH8YBzeO/tvqNQpeGRrdl0OaauifRiWAVJ4uN9di5/mXXxJCXYeoQVGC5aAZ2sSJ0Km9w1i0RDWS5O1TVQfLJTrDb1iamuNSUKDj338V/DDVHDu6y/brq6UsUmzapGDkmAD++svsMcWQE3tGT5jomvywi0B283+jE/fd80AwZgeP1+Q4cbzSNd7z2+9EjytdxOkqHtaAadMVI4lt04O1KOFo4mSzfCU9rOhKTMGloCC530u6fc3UefPmK0aOH0XRcfRROipU8H9lcvz0cyb3A1gh4+ReLC3q/7ol/QqvvhYwfjN280qCmE3xhNWpmOdhwQIFlSoxfFIznstERhHW+H0qelIL1UTXk7+XfQLZFE9GcM6wKCIUcF5hr07jpDtjpoKPPkk8R2jYAGBuokQeFPFGj+EidjE93ZE+4TgN1avr+ORT1dgY4Xe42j66EYLsNCYq37Hd9JSh8ffKynd9zgihQvnMfG/IhF44Tjt/YAgHHRj9r8+9GMS69bF3zg2Mc/qG8PpbBVHJ7OMx4mYavUfd7LuJAXw3Mf79tWjGdxwFsdRzwFE8qVqpHB5/IYRly8x2WMWnf7+Q8b9lxUQ88TeSIp648HvxzQ8xY84iDHniZvz4y3w8O2QsRr9yT9GRdz4yFE0Oqofzz+qJEGfRYkKglBIIBtSUn+ExH2kYPzH5OONmTVRcd4X5EfpnC/Dymxr+WBZ9fuuWKq640Dxm7gIdE77XsW07UGMf4Jc5ybcVbxhO7qnipOMj4UOz52l46fXoax9QR8GqNe7ttThEwX8ui90R+vgLHZ99FfseeOnJQMZzgNjv7+GnNSxfGZ9N754qeveMTDSW/K7jiRei+2r3VrGu37ypisvOV4zF8+dfa/joc+92atZQ8OCdiXfK7H1/5FkNy5ZHX/O8fio6HBk9KZo5V8Orb5rhX8ybc/FABe0Oi27rscEaljqeJ7ZF76dnH048efZ6Zj7+XMdnXxf/uObqVcIx5lhbVm0f4H+3BMAY+3RtxSodDz0VzbB+PQV3/Dfx8xIKA/QaK6125Y3hGFHvoEYKbr7G/d7TeRcnw+apFzQs+j36t8b3Md/LXrZhk47Br+j4e615Xp1aCq6/UvUs2ZpMP+SYsk+AYaN8Vzsrtfi98ynTdQwbGfsufvGJgKvXItsb96WOcV+mPz+vf4A5F3B6UjjvpXNHBVu3ADPn+pundOmooF5dBcPfTb3P/E4/NShg5FXKlNEr9KmXdPy+NPa+6Nl52fkqWrUwG/xtsYZnXnK//76nqVi3Qcd3k2P/Xn0fxRDSV66O/dtzjwZc89V9PUHH2I8TM7rqEhWvvKFFeTFzDvH4/QHsVSkeJQUffqrhi/HRbTQ+SMFNVyf+bmWKf7avw++NWPoERDyxseML/+HnRmD5qr/x9H3XoFLF8pg5bzHuevQ1fPr2I0VHXnv3YHQ6qpXhebJ2855scOmPgZwpBHJGoGbV8ti4ZRfoDZKscZfm9WEqVq02z6BXB0NU3MJcrGs+dJ/5IXrlNRXLV7i31ONYejAoePPtDM4AXJoqX15Bvz4amLyMZZeTMSZd7XKM+5Fff6viu4mxfxt0byS0JJk2Uj2Gu0JvjWCokPeZx/fQ0bVTZHC/+U7FtxOSa6lSReCCgRpefDXxR/a+uzUUJCiuxEn1mPdVzJrj3n69ukDP43U0cpSe5OR11y4dHDdOfpy2eUM5PP5cKGah2q6NjjNPS+HBdlyYiQW/dRlX61n2osjfx3eTFPz5/7t2+9UEOnXQULVqcs9ZciOT+aP4+7/r3li43btp6N41/fa++U7BtxNi7/3euzTPkL70WytZZ745XDEqStitw1E6ep8U+0zyqJr7lMe6DM8n+Ju702Vcu3UGWLnMy0a9p2LO3Oi/tj8SOKVX4kVLyRoF6U1xEti7UgEKQ2Hs2J3Z52T8BAXjv4t9j9z0Xx3V93F/x69YAbz8WuJvF78pbgJJl046ju+u44VXVNe5zTEdgBrVdUz7WQFLKfuxRg2BSy7UcM+Dgagks6lc8+ILdBx0YPrfO2dbXvMa+3FVKgOnnqyDXj6//hbb2+bNgAH9NIPh6jWxf3/gf5rxrXT7Rtx+k+mh6Pzm85326uve80irFX676B3DMHPm6atRAzjjVA0HNohPlYL9y0MDrhsyib79qYxXro/db5/yue5CqW5fxBPb8D32wkj8vX4THrnzciMZLG3TP1vRo++N+OHj51GhvOnz32vgbXjglovQtmUTCdsp1Y+/dD6dsB2L2sZNgBY2E7FN/iGAqdMUo7KO05gp/rabzD8kCjXhDgoXn36tQnlEJbR1u17rVhpmzYmdXNWuDfxpy3dSs4aO/1wV9vQioWs+XfTtxlCOc8/J7ATS7R44kdiwwYzjHvdZMKq8IkNq/nNVyBAdLPt2ogom5U3WmCAumRAtVppxEzbs7VC4mTQ5cds9jwuj49HJTwLpfrp2PfD80MKiSS5jni8YUIi99kpftOCEiwnx7BPrw9tpUQtI8uf403uH4Wf835eGBKOeHybyvf6a5HPgMNxn6k8qCgsVVKumxSTCS3bsEh23bZuOL78JGhULWELTGR7H87t20XFsl/RDn76bSGExdsz/d0cI3L0sy8ZqO2+NKMDWreazzKTKF51XiGUrVKxbp4AVyiyhMJthO27v3C6dKYp5v5/uf9iskmY3vhevvFSqRpXlZ9bvvWUrbGfyDwq+Hh/rhsbcZy0P1VC7lnvPJ06m6GKex3czj2elOHuiVpaSZxVAewU1Hnv5xSEjHHPwCwGs3xD9HbHK8DJEk1VzkrFOHXRM9tisqVEduO6aUML5Ubx2+NvkbzRTNmZsAHPnJ/f99KoAZBUC+GRcbNlm9pMbb/zOxrP69YH+Z4fAzRy7zZuvYv0GgHnu3hkdOwZuIdbJsGHYzifjCjB1evT7kZ6sd95adt5/EraTzNPgfYyIJ3vYTJ/1GwY9OxzvDb2vKDGshe3iGx8zKu9cem5vfDlhGp4dOhafj3jUOE5KFft7AOXs3BLwI56w51zovfBKEOtdYl2tO2NODGaRpyUSTzJBwy0Mxe26TZtoUTHUPObo9hq6ddYwaoxZYpQVg47pGI75cDuvt+R3gLG4nGQxcehxPcL48GMVc+eZH3XG8DJpaLaTyDJXzKZ/zHLRRx2hGcKW3ZjX5NkXgnET8jrvjRV7duzwHpke3TV07phYKHKWt4431ldfETImVsmYNQngu5j3p0Mx4sTjGSfP8coqL1oMDB8ZvbqvUkXB9dcUFrkSUzwcNjwI/i+N8dAn9gzH5Enh304+ScMRtpKNXn1jv1gJwi7eZSvhLGPZE8X5n3N2GM2aJi9kOe9r8xZg8PNBMEG0ZU2acDey7ExC4z1nFN7+WK4Y4Uf16+l4a0QAS5dGFiTMK8NnJlviCSt7DH0zdtGZqGrY8JGBGK+Ztm10nHZy+kKandPGjcCavxQ0OIBJIpP5lcsxuSbA3Dk//sSwHMXIJ+WWjDtb4gnfi8wrtuZP98U8S4Af2MD9PcV3z9atTGxuesiuWqPgt4UqtLCOunX1omT1s+eaOVJ4PL89x3TUcFhLzciJRsHFboe31XFK7zC+nRgAq68lMnqWXHBeCFu2UpAvwL//xvaVFXLefDvgKmInun6d2jquuNT/b5Pfg9lzVGz718x9Zf8OJeqD29+rV9Oxu5D51dL/hvC69iS1bu28/2EAs+ZExuGQJjr690uPB8WTzevL4fHntajws35nhdF8T2GDdFiUtHNEPPE3IiKe7OF3+0NDMO6bKQjYVjeNG9bFe0Puw59/b8Ctg17B/IXLUK/Ofhh02yVo0bShcaaIJ/4eQDm7eAjwQzh/gflxaddWK4pd9yueuJWtZRuHtw2jchUFBzfSwSSbnPwwCdrPCar0MKFr4e7iYXJuPw3BoI5Zs1Xs2MEqOWZ55WHvBPHvv2Yf6E3AiRnFCMuYeX7NGkAJAG0O01C9Wmx/v/kugEmToydVRx2podcJiUWGbN89XYxnzg4YO+JMJrvPPjq4y+Qsm+jVD5alZiJfpnuqW1uPm7TPfo13Rgfw28LEE02ew11x7o4nY3bxJNHx9BJ578MANm4AggUKuncNY9duQAEXBGbiW3J4gDvvLuv7hg10o4oPbfTYAOY7duY4iXWb4DPsi7twNC6oP/iI5bT3/B7b6Dj15LCRwPfTL2OvyXNuvyXkK/eIk8u0GSrGfRp/x5QVozof42/Sy3b5vP08Q8U/WxTj99S1c3bD2RI9A7n6O5NdMuml0267KWTE4NeqURF/boijUqbRcS/Pn8sujl+Jioum198KGr8NGpNTXnJBCPtmoHKXs4Sz/beRxi3KKcVAgGIXRV27VygTelpV8qwuZEs84fX5XqZHHsUMZ5iNlRyc4Z3fTwli6zbTI7bDUSHQ89Vp/Hbx2EoVI3/7/EvVuL7d+pweRstDdbz3fsQLg/d81plhw9PSa/7DazBJfuvWOiqWR1R1FzcvjGaHaOh3lmaIKyNHe4tEzvvYZx+gxSFmBUB6RqRqM35RsGULjG84vTSfeT6Q0saK1R43alasUn2LLbye0/PXauPG60OovJcpgLnZsuWKkeCV801WHErXrGo785fsLKpkRGGOc8OyZCKe+BtNEU/88RPxxCc/OT37BFhG963hkS8O3eUvvdB08fQrnkww4lVjv2aXXhQGQz4s+/JrtahCi/VvdFXdsDH+/XvFI6dCjddg8kt7W+wb++i0V18PYtWq6H/lh7Ph/4sqrJSxZo2Cz7+KTLCCBcA1l4eNDPl2c/OyoADDksnxPB5Sua9MHsuJ6fIV3HlTsWGjt8DBMIMLzovmtn0HjNLVvK/D24U9M/3/NE3Fp19ET07pzWGFNdjvh6UWk50ApSKePPZU0BApvGzAOSHUq+de5cc6567bzRLcbqENbtctCCq4+YbCoso1bpN0epf8ukhF4W73Cdq1V2cu0z/LL1O8cbPu3cI4poNuLAxK4nOayWe+uK/FChH0TnPaxReE0bC+nhXx5NeFKka6uLQnI8bR846iFysvHdFOQ0G55ITPeFy9PGFuuznWLb+4x0fa8ybw9XgVk3+IfndzHsHwO7tlSjx5/6MAZs02nzcKC337aLDyW7p5rzKfxXVXh/DCy8GoMBDOMfjutL/LWHmKogGNggOr9lAUd6vaxvL0550b34Ph7XeCWLwkQuGcvmEjJM8ZZmIdQS/OYSMCYJU+p9HDgufze/z7HwqWLydzHX/9HZs/ied266Kh0zEa3h2j4rc9lYjatdVRvZpmvMft983Qp+8mBaCFFbRtHTauaa8GVr2Gjo2O8KRc/CYOaaIV3Ytb+6edEkbb1tkTMuylinNx/8XVpogn/kiLeOKPn4gnPvnJ6dkn4FZC7vA2Gk45WUtZPOFHnSVkOengZGbDBgXPvhC7IGDy187HRDwHHn6sADt2Rn/w6tfX0f4I3Yyr1RGVryMRlQMbAn8sS3SU+Xd+aLmz/+M0liRWULECy7Bqrjk6EoUVuYk5nTtp6NEt2kuCMbh0DXbaoS109D0zMhljmM/ceaYrNHOrtGqZnLdFcnee+lFMHLpgvopdhaZHDgUVpw3oH8LX3wQNMeqwVrrhQWHlR+BzcfEFISMO2W4MgWEojNMYK12jhoZVqyOsmjTWMSCFEsPJiid0HX7sKZsLkQse7qxfc2XImEh7Wf+zw4Yb8YiRkXLb9mO5M8ZwNlqNGjqYuI4T1XAh817o+OKrQNGOfjIjxFRbd9waK7pxMTPlR9X4HfIZPDKJsCC298awAP7YU4LR3n5BAcDdPa9JfzJ9lWO8CbiVNOfRd98WQrly2fE84fWdoQB8L/P9nAtjviXmXXKa3/Aw5/UKC3VMnGyGk9KzrsPREW/LXNx3aW/zg49VzJwVO24MNbFbJsQTbsZwU8Zu/M6ceZr5Uh01JoAFv0b//Yi2Gpo10w1Rwmkszb3mLxW/zHQfBb5fuanh9u3nxgk9TxPZps0K1q/X0aCBGTKbjHHTgV4mzm9sl06a8c2wm5uww7+f2y+EWXMCRV7F9nPoFXrZJWautngeMsn0tbiOadNaN0Kl+M6KZzdeHzY8e7JhIp5kg2rZu6aIJz7HVMJ2fAKU07NOwG1SQI8Ja8HLBf1ZZ3gnRLU6+PvvCka8Gyg6j+7W7dpoeOix2IUmd0T4n2XPvBA0QiXsZk+qSjfcex9MLoMkPRKYDIy7KBMdkyw3mFzM3nOne46FhYuA9z8KGjk9uHBeFyd3i9dA0XX2hmujr+/09rGfe9/d5kLYzQOAO2Dc6SoJyTTtu3+pPKRtDtNx+qmRCSfFlbEfeE+Gju0WxgF1YCSm3W+/SAx6sm1uXFcBE38IY+NmVhsIG0lO3YzhYA88Ev8Zs56VeN4Zx3bVjNATxocPfT2I3S5Jku3t+/Geoit13zNDMS7Dk35Q8I0jgeKpvcPgrmMie+OtgJGHw26VKgHnn5vZhIOJ+lES/z5lqilIKSqMHd0j22VWZOD7arzNU+/sPmG0aM4sPdkTT8j5198UQ8BrvCeMMh57K3wvG55Hy5cDr70V+xtkWxcMNMMmM2Gvvh7AqlWRZ7xqVXogFIJeYGKpE3DL7eH23cuEePLiq0H85VK9xhJqtmxVwJw81jEUCc4bEMaS31Wjmls6duuNhfhqfBAzZ0U/H71PSl6UTqVdeqowvwrvxWlM3n3pxdGCjdscjrnICkOReZxb+yf21IyNojffDmLpH6n0MDfH0sP3ovMS55I547Rw1hKpu4kn69crmLMnRLeshPCI54m/Z1zEE3/8xPPEJz85PTMEdu+GseB2VjyhKDD4xUgOD6/W6AXSo6tmhKe4GXfSH3wkNtHoCceHjZ10p7EMZidbEtF5C1S8+170xObcs0No2hRgstVPPgti057Em159ZFxtt64afpwWwL/bdCOhmZtnhNv5+9bUwd1NJvW0jHHczzyfnGCTaJScO3A8/pvxKiY5XJ357xRPKBbdN8i97Q7tNZxwfGYXbYn67/b3n6ar+PTz1CejzqocXnkXrDadQlsqfaUHBT0p7GYl83O7zjujAvhtkfcCyi78eFUHYuJX7mZywecWgpNK/61j3aoa0V39nL7uz8EjTwSxfXt0S40ascJQ4kSsP89Q8PGn0cz4vPG5S8X4TmCZzp07FVAIZWWK0mw/TFHx5TfRzzs91ljyOpPGcJiNGxXDC4nePrRsiyfO/lMgmf6Lin+3MSm2hoYNzJwS9twOFDKYdHFPkcGMIfjwE3oBuFc581PNZ+5cFes3MjGobixMnWYtJP3eCPN+cNyynfzbbz8zeT5/6/QGsL639JTiBkaD+tG/jUyIJ28MC8Z4lZL33bdHv9us9x+FXxrz8wxKII57MWH4Ecfzk89UIwSVvwW7twvPY+l6K3SpRQsNZ54WCSXyui7D1D75LGCEElWrBpx2csgIf2NYr5e1aKbh7LPMdzG5M2SKuViSzUlmv671bR3+TgCLliQWDuk5yvdTLo3eMosXM8TRe+5x8flmaFQ2zCmerFzJpNvBqOSxbvl+stGXbF5TxBN/dEU88cdPxBOf/OR0fwQ4mXn3PSZIMz8kXNjVqaUX7UB7hY94tcpkmPR+cBo//owndhon2G4hACedoKH9kdGLMSYLtY5tfJCGgxsDmzYDTw9OXsBItpKO2/3ZM9LTw2TcZ+7hC6mOSMWKCm6/Odb9gGPzmqPSBfOmcIeV2f8ff9r9vp3iAz0bmKOCCX+5c9r92HDKC91U78k63p7ckclUa9XSjTwI8YwiV68TI2OfyPMk1XweTGb52yJz8rl6jY5FixO7ky9cpGD0WJZf9Z5wNWqgo/85YSOEgsliH3o8tlyrdd9W4lg3ISJV1vQW6X1i2EhU/Mee3cFatYCB5xSCOWHc7PGnAti6LfpvLE19cq8wmjZJ3IPpP6uY+L1qhMsxpMFLOPllpmIksaXXTpODgdNPMcs/FxbCKM/999pIH+hWzwVHabXHn46UFbbuge+3Cx05frJxf8UpnnARxrGz51xgefBwWDEWiHbLVqWn198KgAkeneYmQifD282bynkePdy6dkr/+VyxEhj9XuQZcb7nkulnaT+GpWGZTJ15oVSXV1MmxBOWTh/1brS44DafcGO5dJk5H9q+Pflxbt1KBz0ZaM6QRkvAZhW7z76M/m04Q3Dt/eGzTQHPLacbQ4woXHoZ5wecJxj9cfES5L/vU1XH5n8SiyEM6+H3YN48Be++Hz8UpqQ8mxSxzjpTw6h33RlR6L3o/MSbBOnej1M8+eDjQIxHkhXqlW4bJeE8EU/8jYKIJ/74iXjik5+c7o/Ao0+6e5VYITGJcng4W+dH4aYbQjG7jcxXwrwlTmO5vu8mcCEX+QuvccsNIXAi8+efClgSmIKAm303wUxi5rReJ+iYMUtxdd/1Q4yT83ghNfGuXb06cMapIXw8Loi16yJHnntOCE0Pdj+Ti/bPvtcv7FsAACAASURBVDArjTBrf+8TQyhfXjF2lO5/iLsZsefRjZ/u/JaNHhPAfEeMN6sAtGqZ/ATRDzN6yei6jkBAMXbQ3EQ06/r77w9cOLAwpsIBY9GX/B492dunKnByr5AhoiVrDLMaMSqx2GZfhLGCwRMeQhXbpRhw0/WFUTvJXEROorgQx668LITatQB79YR0xD16fTFsCYqOAxsADRskrpwQzyuo9WE6zrCFTSXL1nkcn90Ro6J/m5Zo5Aw/4bn0erv3rsxMan+YaiZXpYjVrrWGXr0018Vauvfmdh6fET4rdrPETj/tUICyKg01Odj9N+tHPElUdtvZd+5i02PKafvti6j3mvX3dAWNeMzcEoizJDa9A1nGddXqgCHUJpPXwG2x7Wybv8sbrvOXJ+GJZwLYsiX6Hdb3DA2HHpqax5YXl21bdWzcpKJWbT3pvBlu16KX5+dfKEZ+r8Na6uh9UrjIw8nPc5zMuZkQT9gO3z2LFinQdAUNGmhJhWhws+L3P8wEq/ydJfJe4Lu2TWsNrQ8zx8+rAhnzcGzeZJYcd5rbb4PC8kOPBo1qdG5G0Ym5xdyMIUjHH68ZZZdXrFIw9PXYuRHDUpv8v6dfPO8V69odj9YN7yAmyXUrj5zMmObimGO7aNh3Px1jPzTDxGvWBA5toaECKxe114xKSQwlY0Jdhvoy35db6exU+775Hxg5vw7YrwLWbt5pnD7k9YARUpzM2KfaXi6PF/HEH30RT/zxE/HEJz85PX0CO3eZH2kv4wRi0eLEuxPO82tUZ+JSs6Qod1A++TQA7jg5czfwY8WKNRQSvvw6YIgS/FAzFwpdTZf+EWn7uO5hdOoYPWPYvBnGR53nOe2AOjrCuvkhW71aAe/Vy6x+MQabLtt0lXUz5nn53+2xGfntx9avp2PFytjzO3fS0a51GHPmqqi6j47C3Zycmq691fbxDnXatTu6HKK9rTlzFbznkgukR3cNnW0hT24CWPujNJzUMzOTdqtPLCn7+1LVKFvIMCcvYzlAlpzmgpBVQrp1DRs7bIpiJr31Mo7LqtVAixZcFKX+3DNJIJMFJrJWh2roc0aEzfdTzPKW8eyWGwpRuXJk3FmhhJVK4ln/szUc0lQzEigHA+bvg78T7jjaqxi0aK6BZWopBND7ae1aBaE4OQjpDk8XdC4KVSho3kxD82axXFkx4sfpAfz9d2wvj+mgGWPIiX+65iUgMeyMeTucpbjZzr13hzxFDnpOMcSPQit3e7moc8vt88ssBR9+HD3O9Kg7+aTMPu9OLm6ClN/Y+qFvBKLeJ/TG4y6607zEE3r8qAH3EBG+d997P2jk3uGzx7AUekMkskRhdPbz+T696frECTMTten8O73pGAZi5SWhcMNE1PRO/OyLyNgnU97dq4qRPa8X2+e7qXkzLpjDYBWWVIy5JR54KPZby28kE3xSDJo9J4B9quno3jVkeGmlYnze+dxbxnCpQ5qk/ttdvETB2+9E/3a4eXFuv8TPRSr9tY6lFyA90/huZ16ZAWerOLBBGNt3Zf6Zidc/N6H3hB4avojz3mdIS4f2fAcphnCeyu+CfaEgx3eh0+bNV/DuWO/vFN/JztwqzmtwHkXhcM682G8QPSTP6hPGyDFBrFgRf9T23htGKeLSZolCeV8ZEsDqPyO/F44f885VqZLenXLON2JkwPiW05o2VtD/nEJjjL8eHwArFdmNIUMMHSrNJuKJv9ET8cQfPxFPfPKT0xMT4KKLHwd7Aj/u4jOhZ7yyq4mvHP8IuqVyweP0jujSWUeVymb5Srekgl6Th7v2VJVgq/SkoEdFJo27xFyQDX0jNh8E2znz9LCxE+eWuZ7xyLwfLj4eeDh2kly3jh7l5k7h6JILw64Ve9gWF+tctNMY1tP+SPNDS+8TS2Cg9wmr0Py+NJoCE9f+5ypzUkb2TKTrHAOWIezaJYx16xRUr66hYoXURTJ7q598qmK6LRynaxcN3P0pSfbE0+4J9ijEkPHGjTratjHzxdhz/7CE4zuj4gsh3btq6NI5cr8sRz31R+9z+NwzsS/DqSxvBYY4NG+uo2EDjrViiH619tdjJnQURmbNUrHXXgDzqjD3jt3okcMdMLuddILpaeSshDNxkorxE7z76RZ2wedu1hzFyLvDXVeGgnGX9JdfVEOkZBlLeuNQIHFLyMzdVgo3FD7txnFgtR43Y4JElvS0GysWsXKR00a/F1s9QlUVw2vr8HbeC8oN62Eke/17nYK6dXV066wVlYdO9jmePkPBvHkBI2Es2bRulf5vYPYcxdg5ddrttxTG/F6d4smGDcDIdyMebnxvMKm33dyqqLHUdqKF+4LfVE+XeGdfLYEwWX7JHEcPAQrrlSszFExHOMzSqmb1NOa7cJqz7L3z725VjOJ5gDEs79qrw2CYW7Lm9R7mO5Kha07PwFRyMrAqG8Nr7cb3F/NwOHOYJeqvW0lhnpMN7yFe1630+83X6ahStXgXlm7fBj5b/O5++HGsRxn7bt8MoqC/fp3pWZmsNWqoo34DM1+RqmiGkM2QJj7XXvOySpVML0eK6z9OU7BunZpWknr28YADdBzUCPhhimII85k2ennUrqW7etz4aYuV4ViRiAUIlq2InV/y2ldfEcb++7n/PhlyzXef07p1DqNb1+R/0/bzn34ugE2boudQx3YNo2tn3fg2DhseycPDvHn9+4Wi8uf54ZGrc0U88UdexBN//EQ88clPTvcmwEnhmPcDRYuratV0YzK/YiW9NXJHrl1bzfC8oHtq9eq64Y2hKDo6HaMb4oPXDs6Vl4dQe39TEGDIilXONZN3cvopdFHmzk/0ZJQT5sNamV4CK5arMe759IqhdwztvffVqB2fSnsBu3ZGys9a/e3ZQ0PHDrGLK7fJsP0eT+kVNjwJWDHA7qFgP8aa7HolJGWeClYGsezYLt5VZhLxXbXGPYHdzTcUoorNGyPRdbL9d68QtOO7qeh7WiDuu9hZfcPZV5aG5A6yZW65TKwFWUE5oF+fMMZ9zgmX+133PVMz3IwT2YOPFGD37uQnfBRQGLJlGb0Pnn8pfhjTXbcVolw5c2LIRTnj6LfsyZdiVvMpxEfjgkXvGavyCXfxnn8pYIgsltk9J0a/p2L+AksgBPr3DRmlOt3sm28DmPR9cq7PYz/kLr67IMTn/oTjYrnSQ+PJwQVRuQ7q1AauuDQLq4pEg7rn757vwUtjqxo5xZMhbwTARIV2s+d94GKJ71Cn0aWf74JENu4z1ShfSuPzvHcV89mwWzY8FhiORS9Fy+hheMnFYcNb6dnnzfLnTkvm3cbE3EzQbRm9H+kN4mXpiMMU5r74KvqaXgk2UykH7fWcMPSVC/FUzMtbLFPiCb8Vc+ep2P4vUL68XvQM2ft4fHfgmI6xv7udu3RjF3/pH6rhrUnvOCu3Ryr36Has27eBoR7XXhUyPGMZappOwlWvfqUTnslrMQfJhIkRr4nWLTXMmpt6UnarX5y3kCtzWGXKOC6BIAyhesoUxUhWmymjJ9vVl4ehQ8ejTxTEjAkFzdNP1cCKil62Zg3w8tDEFR5T6bPb8+NMPM9QobCmxGxgpNJOSTpWxBN/oyHiiT9+Ip745CenexN4+rnEFWhKGj8mrOQu4lvDo3dcOdm4+foQypXX8edfakwi1UzdB909GUrx0qvxF5T2yQ+TQtKLwF49Ydp0FRs2AeUKFObUdA1RoDcK81UwgVmzppqRI4MTYb+ikN3z5IGHClAYip5INDoQrmUHL78kDPYpFaNnEe/VLZ57QP8wmjSOvh4T/nJhu32HDvbDmRQ4lbZTPdYt9phx67ddV2CMXbyy8Ywx//FH07OCoWxrHC6/N/83BKtqA/vFybZzF5K5aJgUlaEmHGOvaknWfbFyiFeuH+sYN3Es0cTcGUry4zTVyKvjZbfdFLk3hhTNmJnYS6lGDeCqS0OG5wTDh2jH99CMBY/dKEayYguPj1faNtlF3br1Ct7/QI1yyba35+Uq71Yph+ddd1UINWrGkmHIma4B+3iE3KX6bLodT/GDIojduNtNMYuhAlH35ShV7DaZZ8lRhubQvEq70xOCwkAiYxjZwsWmKMwcOVxYUsy12/kDwnEXMYnacP6dHib3DYrNm8UcBtyNfuRx93f2ReeF0LBh/NY2bOQuvoLKVXTU2o/5mYCHHgt6Vg7p1kVHtyREJnurXiKzW8+6HKMbib2TsVmzTS9Sp919GyuzJHOFyDFuXjiHt9VwSu/Ez0SilrjjT6E2kQjRszvQ0UU8GfJ6ECtXRbeSzjfLrZ9uifHbH6XjpJ7mGLj9FhPdb6b/zvcnv7f2RM2J2qBQPu6zoCGQuBlzUDHkxC5wJ7pmvL87E/Mm8sBMpS0KZQxHo9cJhXQK6k7re2YY9HhOZG75qawcZInOdfs7vXudDFktklUjy6qJeOJvZEU88cdPxBOf/OR0dwKMCX/QJXykpPNiqeOLzgvDGQZSXP0+4zTN8AaIV+bO6sudtxZCUZW4yfnsO7Tx7uHgxjoYb+7XCoIMBzF38FmR55nnYsUTr8SOXAxwUZCsJSrbe+uNISO0xDK3CWhxlVVmjDiz3tuN5X0ZOlW3ZkXjn+OJJ/bzmPyNQozd6J5bUKAhFFLACgsM/WL576j26um49EJzMu7lxu9kf2xXzcgdRJs3nzvXZiJHeqWwugnj2ikYWLmJmPiO4VPxFihuCz/mDaLLvl0UYpscP46jZS++Gkw6CTOFH+Y0sGz//YCrLg/FFUm8nj23hWfbNjpOOzl6genmPu28ptsuOkuI8v6ddvUVIbDflrEMJ3NtWAsY/o2/t3Rj5RP91uyLBC7oGabEd4XTnJ4ngx6NXfg7vRmYG4Su/5bRS+zqKwsT7oy6hVVyR5zeecx5xAFu2lhDvXpmPymeffmViq1bFSOUiQsst1w1iVhQaHv4scTJnu3XsRKfx7s2hXorbxbFNeYManwQq8DRi7CgqBKd/RrpCEP8Lbw0JLb/FSugKFeC1UaFCsAdt7h7PTGk48+/FEPotgRbt+pDFNHprcl8SqnYsmXAzDkq/v1XATcGOh6d3AJw/HcqJk42f0PsG4Viem9Y9u1EFRPilI/lcQGKg7fqCBRE/665az/o0VjhjKGSfK6sHCD0XLVyAjFJ/bRpASO5KjdEmJzby/itHD4qWPS+4qYGN0S4UKfRU+aRJ1N79hKJ2KmMCd/DPbqFY0IdeQ0KzzVrmHmx7MZQRW1PZlm+i9etM6vA2e3wdlpRaeVU+uN2bIf2Ok44Pnrc3HLopNuO3StuylQFX9g80Kxr9u+n4ZAmiZ9X/hZZApqeu6xIxypwjQ+K7hkFp2/GB7HkD6BGNRhewgy1crOZs1V88FGEPz3KLr+k9IfmxBsrEU/SfZLN80Q88ccv6Qm7z2bk9DwiwHwE/CjQI6A0GpOuMgxiv5o61q5X8PbI+CVi491jsECJW17WeS4TAVaporuWwXQey8ogO/+/ihA/lKwkw3wH304Igklemf+EORO4e1mcxp1G7jh6VcSI15dz+7FMbXLiycqVwJA3vO/N6bLKdr/+JoDJU5ILvcg0My547QmIeX1LGLAmAcmKJ2M/UDE7gas0Kys5c5Ew10/3rpHJZbJjxDLWRkI6jypBTND8n6si+XOSqZDFilbHH6cZz6nXBJcJlM86PVy0CCYze2WgeGPEnEbOUsg83k+VJ3otcZLKRR0rCnFnz24UPeltF884QabY4bTt24EnnglGLS6q1wCuvzr6WLed1Jb/n9vprDOT8xJI57nmgmfHDt1ISOzlnWOJJz/N3onp01UsWUpOkd9yxYoAd1aZD8du/FbQ44Lvr6OOYK6axD185rkANjri+62SrM6z3SqTNTtExzl9U+dFQXDQI0FwY8DL7HkomFz5ogsiC2C3c/jOZkJzu5Uvp+Caqwrx/gcBw6PO8iiktxjD13qdGEKbw5J7TzrbfO6lgMHbMvJuc5hWlN/KfvwdtxaiQvno9+W3E1RMmBT5rjM/0741NaxabXotOo3vG753sm18jt535OdhufSrLov8flj9isl549mFA1S0aBabMJYL2YdcxBNnEnpem7v9FEuGvFYQ5XEx4JywkSMnnlGkUaCgXPnYox54pACFSYZIUnxhGOKiJSqm/hSIEpGzMRYUuZhj45dZAWzaDKPCjFdIr9U+n+vLLgrh5xlq3NLHyfbXWX6XCdqZ04s5ujJh1vgtWgysWKXi+x/UKG8PhuzccL0ZwpcJYzl2J8N43qBLl8Go3hNQFfTsVoAdoT3ZYzPRmRJ4DRFP/A2KiCf++Il44pOfnB5N4PspCr76JsWtphIK8fRTw1i2TMXM2Rn6GmbwPplgtLBQL1psMSSDLrW5Ni6ubr8lFLeKklsfGzfScd6AyIKGCxUmPN2xy6xYxPAa+8LNK8zBujZ3ujjRsBvj/Rn377Rk4ulZyeTbCQEjBKn9ETqO75Hc4otjxEoX3EFe8nt0y5WrKLjlv4XwEk9YIpYLlV2FCtofbiaTe+3NAJiwMpFxN5leVL/uCVlhctP99tWxYztQ8f8TvTJ8hQn1+Gxzx9ZZwtR+/RbNNFDI+MGWo8bZ/qknh9GujbkweP2tIJYtT9RD8+99+4Qx+fsAWCnJbs0P0dHPZYH7zz8K3ng7kkepalXd2Kn/6OMAVq42uTCpYflyGjZtjuXkdOtOrpfJHbVtm47HnordnbbOZmjc6aeZ3N2MnlFffctcITBERO6iVtsn+ki3CTUXIffc6S83Cn9vFMi4QKcrfaqJPkm6nFoBt90XivI64m+WIu6RR4Rjyn8nRzX2KHo0OgUM/t6548ulJxMeN9oTJpPpBKTM1TViNMV0997Tu4aVRigWJVN61GtBT+HF6YVl/Rt/26eezApWiXe4nb2k1wjfKUYy6NrAMe3DWLhYxRcu+VUoztufg0Rl3t2IJJObheEGDKlZsEDBXlUUHN4mOmF2Ms+JW+lonsdqMtZ3IxkvhLp1FPTqGcYB9WLZvjI04vFl9cnNu4Nel8yFw/w4dqMQRUEqXVu6TDEStIcK4wswfGece07YeN/T7nmAuTmyL2DZPfGYOJmeU152YEMmwC/E3lXMhKsfj2O1Jnospt9PjgW9lPit4sbX68NSn4fyXFZRdDN6xq5cpYLFDiyj0MlcfgccoKFTB934vzNhXpUo998f4FyJnp9eIc7BgILqVcoXlSrORH9K4jVEPPE3KiKe+OMn4olPfnJ6NAHmUfCbM0OYehPgBIE7p1wU+5hnpISY2dk7Hh023JPp+pzInMlgEx3vVsbVmSCVOQOYO8AyTnCeGuy9y08XflZHshuZjXw3ekLFMrxn94m/CHELueEkjUkd4xmT/jLUxcusvAJu4olbGWi3BVW89u2i0MtDAlGLMWcIC6vJjHo3aAg9buaVWNI6lvHw7dqG8fqbBSlVfOCzMmOGGrM7yMXHZZe4C1R87ikg8X+50LcWR1yA7dql4LMvWUI29i4oMtx2cwjcocyWvTksAC5ynOYW4pNOHz78JACKanbjYv3iC5IT8+znMXHhb4vN53PePNUoU01jks/zB0SHCyXqK3s0bXp5fPJ5bD/SyX0Rr71k8hj0OSMMeuRQMHVLGJmMYGrvA79pY8aqYKUfGhcxbiW2mReB4SLJhlG5iTtu3gxuPBJV8Uk0ZtbfKV4wDNCey4K5aZijxm7OpLbJXJ8J0L3KjfP3+y4rU/0a/TzX2h+45KJCI19XMsacSXPo7bom9ni7eMJr8V1OT594pdZ5nBtbVqJhkm1uUtCzr0ljDWzbafS+rFAORklzp9mfO3qqvfehmViZ7zBuEPC3R2E7Xv6lrVt1vDYsiI0bou+3USPgjFNjqzAl4wmYDGfrmIMO0o1KM06z8jlxXAe/EADz+HgZj6Xg6xRp73/YW5hMpY/0ZGOOolSseg0dXY/RXPP38DoMAVu/PvaKN1wbzljuqe3bdSMhMd8f3CiJx48hqPaQTutYEU9SGfX8PVbEE59jn6yruM9m5PQyTIAfS0686dbvDBUow7dd7LfGHfb99oPhKcAkfdky5uJgboCt2+iWqhtuoC1baKhZUwcXXKw24Zag1epPqrHWnCxy8W3ZwoXm7q7TrrkiZNy/ZVxEcjHpZm6CDI+jp8WXXweNMAQmmjz5pLBRyo8Lo0WLWXUJYJ4Pe+UaCi6WB4fVFnO73H2H924/834wb048s3JAuIkno8aoWPBrYqHK6/pcgHByRXNLwsh/Z0hMy5a6UXXqwUfiJ1L0ylPD63ACzLwkTDgczzvF7blgtQWGmTlD/Dp31NAjjWR3O3eaiTbdjBWizjgtlPSiLJ3fFxeikyYr2LJVMbwPKNjUqKEbJcYzYX/9DQx9I1LhiOyZo4lu+qmYW+ll+/nMucGcC8laPPHEXuI92evFO46MWWbaegdWq67HLCQZ3sLFk5uQzxKpl10U/954Htlai9jPvwpg6o/JvXPtCbPj3UcyYSTxzmdycf6XCWNqCoqY2/4FDjrQTCTuNK/3iFf7zQ/R0K+vd/+Yn4TfMjez51ravUs3BLCwrqLWfvS4ifRt1LuRhNDO67iVObcf8+SzAdCTzc0SJeSlQDpydMAzoa/bNa3qOdbfnIK29e/0KGAiWi/jfOueB2LfcfREqrUfENZZUUUvEr/cPGZ4bYZsURCyG5935iGJV/1m772BLVvce0dxaNxnAUz7OfFvhTlKGMpaENSNyjhtWmu494GgkSOmOM0QnPZGUeWk514KGvlZnOY1r2EJdpZij2f02po2TTVyBdWrr6NLpzAqVYxm5JbLKd41mYuMvxOniXhSnE9P6W1LxBOfYyfiiU+AeXo6Ffi5880FnrOqR54iyept00OCJfAGPx+MKVOc6Ya5cGKozJx50R/3Sy8Oo15dHd98F3Ct3pNuPxhecvopmlH+kcYFuFuZzgHnhNDk4OhWuPDfuMkUlFhimcaElgz5oMCRjL0zOoDfFkbfK4UNJkZlYjcuhOnubreKFRTcfou3C/ZX36iueQTs12Cywe5dNdewndFjA5g/P7pP3NFkSdtkjblIWB3gn3+AYSNiYZzUU0P7ozQwl8cbCVycjzxCMzyeZjPnx3buqipG4taaNXSc3EszEjuOGMkKKN6CD6tYcazsdslFYdStreOd0UFwQW8Zw3HOH6AZ10/FmDvkkSfiDzzDenr2COHvdQxfgOHezsTBTHzo17iwYclcJtK0Vz/ye137+dt3wFjc0MW9XRvNSDjIRJgTJpsx+MyrwAk9vYW8bPCLQdddVOt4r6pAXtfjkzphQjmMnxQ9mWfoymUXJy/CpMPJqxx6vGv97073RKYUp+gNsX6D6Q3Q49gwKPA9/ETQCHlL1vqd5R5WQ2+Dv9YqRsW2CQnybyRqK9nKRImuk8rfP/hYxcxZkd8437FObzWWsudiMt7zxzZHjlbx6553trMPVqUQvu+YJNpeArpLJ+YkCxuhW25J6fnMHdpcQ4ej4787ONasBLNiZSyBeOIJk7uyWkpqbybTS47VWOhd4lVtyuoJ84fwPt08UBKda12D5XKZWNgtuSlDvxhe66wixvYYgvnlV4GYJMLJPCe33FCIJ54pSKt6DpPlM2SRGw/JGoUmfiPccoAlu4nDctD2xMI7dpgJ++1eRfS+7doljPfej92sufH6sJE4nbZli47JUwJGCCS/a0e311GlioYnniqICjW0b27wPIq1LN3u9Cbmt4reKG7mzGFmHSPiSbJPT34fJ+KJz/EX8cQnwDw8nVnG+UEWKz4C114dMrLZu4kKxdULaydv4iQF4yekHk8cr5977aXg+msKjQk33ZIffzo2d8T+tYC//zJ3hHseF8bRR0VPKjjx4H/hkDkBC2vc0dJAoSPuQur+JFUW20Xc3NrtbTA/yoRJ3u2yqsM1V4aMBbub5wmT3Y0aE824x7EaOLGL593hvE+Gv1x8Ydgoo2pPnEePiFtvChn5N7j7yl1YL+MklAvgRGWkWdHkB5ecMtZ1e52oIaAyGbKK8uV1tDpUM6oy0T7/MoCpP0XzOqSJKf54GRdPs2arUBUdFBcDQbPy1DPPp+4Bx+fvv9cyVCD9XxPd7995N1iUKJUiBpMMZtvcwsqYX+Wcs713/d1KW9r7yfCTCwYm33eO3N0uv6Mj2mo4OY0yswyrYJlpCoh8/uid5lV2c9rPKlhVLBXjwpELSKcNfiFYFL5k/Y0VNOhNlCgBpvNazoo4Y8YGMNchiCbqM0M5GCayY4eKkC0MgX2/7prCuHlkli1XokLIWjbXsO++iVqM/J35nfgureB4f3KBS48BitS7C833FEVLmtOLMF5rDIGZNt39Hcl3BSvXTJis4NvvYt9Nd94aMhacbkJpqh45bnmELjo/bIgdbjZxkorxE1J73qzr2L1KEoXT8LlnYmAmw1UDQLvWupEUPpWyvqzWNX9BdJJfqy/0VPHybrz80rDhbUlvTJZEH9A/hCefSfydZLgc85c4K70l89Rx88Sep4r3b4WwMexxxi/JzzkpUDEp9IyZqiESN6gPqAEdHDunWeWmWcmMCaaZt4SVkVhFbt48oEJFpSjnmnOjpePRujEXsezZF4KGeG4Zf6f0gqVXptO4cVD/APMZY5Ldp13CkK1n+bkXg0ZeILsxX9ihzWOfURFPknna5BgRT3w+AyKe+ASYZ6e7VS/IMwQ5ud0DDwQOrK8llXMkmx2kWy69PV59Pega8++nbe7ydj7GnAwsXMxQGjM8wa2UJo855+wwmjWNnjwwfIxhDdZuTbDADGuwJ2/8foo5mWQVkbatNcyazRj4xPuIrMJUsYJueGBwMmc3luqlW3uwQMfRR5pJYl9+NWhMiizjYoATwoIC4LBWZgJXmlfC2HkLWN0lYFRYoKt67Vo6hg1nXpLEfbX3jWPGhT1LI3K3lbtop/SOXhyMGBXAwkWRySnLvBpJNxVT5GAoZ6r7fgAAIABJREFUQiLjAoolkq3cGfbjGcJy4/UMmXG/ypA3zNh/u7Fqwb13u4dG0SPozeEFRviV3bjg4aIxHTvhuHDUbjXFmbXrFNSonliAY3tuoo21CEynP8mcEwqZVUDccji0ba3jsFYa+NxaFVusa479IIDZc9058fd2wXmhuKVVnX3zEk94nDPvRDL39f5HDE2MXnCcfJJmLETc7P2PImE8rLJCrygvY1WMm/4bKwzxN/vAQ7ELRJYorVdXw9vvpCYY26sgUfgeMSr1BTerr9m9LnhPBzYATjslhGrVInf4zxZgzRoVderoxi443x30oHHaBecxmW7i98eY9wOYu8fzkM9OQVBBy5ZhI4kx/2+nMVyOnnGGcP2zgvm/0gtKQe3apgBzYCMdbVpFj51bOCSve3Bjlms2f/de5YUppF99WQhPPhs0POvsxnLsVpnqZJ41enJ98pmK+fNV0Dvu9JN1NGjoLRx6eUYm0xaPYX4i5inyuv9kr5PMccyJQZHErRJSvPOZq+bnGUzCnUwrkWPoiURB3JkcPbWrmEfbE+x6hSpZ161fH1ixwvz/GIJDDx++9+xGMXb2nNhnt++ZGspX0DH8nUCR54czx5r9OvS0/vNvFfXr6qhePdIGBUVW1XMay6I7SzTzGLu4yvf3/YNi3z09e2hGiWK2OfajIP760wwl5EaKs9qb1a6IJ+k8bfl3jognPsdcxBOfAPPgdL7YGa/Jnetly5S4+S7yAEde3+JhLTUoKsDqLazQ8v33CrZsS2+x6gbS2G1rrePU3mFjksDdRf4vd8qd1rmThh7doifkH49T8fMv0YsUJlplJY7DDtMN753Pvkh9EcO2r7gkhDp1Ynvt3IlkfpDLLzWrjvw0zRRpGjfmAsx90ZJsqWKvWOx4D2Si3CysULNkiQIm2OV/THK4V0WAYTrxkhY622TOkq3/Atu2KTE7hNyhpjDG3TwvcytB3OhA4IKB7uIJw5AyMUG398cu3s2bp+Bdm4t2ohAJr8l9J3pM2PL5ZPrlQffwoW8kXtRzQcEyzdZu+o6dOt4ZFYyp3MR8IBcODBsCXypGsWLEqAL8syX2GWduID6HFNXmzjN/exQfWfJzwqQgdu3U0f4o8xmxjDkdnC7sljcN/33lKjNhcOVKOuYuoMBlLhI1nTkU6MnkniiWi50+p2tRYip/Ax9+zBK+7ndsjf2KFYpRQcUr1MR5thU2wX/n4jXVBawXf3qTtWiho81hZgUjp8DAdzRL1NJLzWkMF2h5qGZUJfGqqBQvXxN/y8y95WYUkCnCeiUyZ14reqbQvHbanbvpDMV8Z7T7+5o5eZYsVTDFUQWM767eJ6aXC2afyuWwuzC2VLH9fjkfoheGPV9Ipb3MBfsXXwUM4Y7jsv++Ov7wqDrGdy2/C6l4kaTye7Qfe/55Ibw1LLHXiP0chmEynDPXxnBKeqOyugy9L7yM7zaGivHZ83quvTx9brspZHi6OhPM2p/XZDh4PasUsGfPiX6GeU933BKpBGW+IxQwD5JlfBdTCEzlO8xzRTxJZrTkGBFPfD4DIp74BFjGT9++Q8errxVIItgyPs7p3B5FDoYMOK16DaD3CSHs3Kng3bGRyYBbfLxXu3RXZ1lZy9wmPm4J05xVepzX5yR3uyNJnvMY5jv5aVrASGRqGRdd110dO5Hxij9niIHXzhCvyUmeNSlKVjxJ5ObtxjJe8kG6g7//YWR8WG3gyktCKF8+tUlzIiHDcoFfvlzBzp06GjXSUWCrpOG20GVFnAvPcxereJ+Jwk5SfZ65O3jzf0NGktddu3QMejRWPeBElhNar8nsAw8HDa8su9lLtXLMWYKSoVKpToi97oe77tx9T8ZY3vzWmwpBjx5O9JmU2G3xxl1/7v4na/QCemmIex/2qWoKYPRisIf6qSrDD6KFlmM6mCXA6R314ivu1+OOPQU6pzcG+8pE19zV5+KJC/nhIyPPdr16Zj+YG4aeScypc0Q73fAAeJT5THZ63y1zF1B45TuJRg8Ulr1NZKzGRZGCxtCb0S6eINY1vHan47XBZ+j0U8NRv+FEfbL+To+QK/YkJeU72ipzf+ihOqpWYWig9/05Sxhb7zPmbIhXac8u5C5cZCaYdxqTRDNZtN2YZ8KZf4t/54L5+6mmWGE3K59HsizsxyUjnvD4DRsUI8yQ3oaVK+s47FAdzZqZHl4MrWFOKFXVXUOO0umXn3Mo+nNRvnBx4mfW+B3V041wklTCQ/30L9lzvZKW8/d+x82FKJfgu+X2/WR+t759Qob3ntO8cop49Zei2sOPxX4D6OXG0KGxH6jGc0EB8+ReYeN95TSK4fTupndcu7aJPcTc+iLiSbJPVH4fJ+KJz/EX8cQnwDJ+Oie8zHEhJgSSJfC/O0LgYoCLRXoyrFmjYN+aOlasUvDBR4l3ydkOz+d1LOPCw5rg89+4c/Ofq2LLMqaTV8B5X4wzbnqwhi++CWLZMvOv3NXqdSIz5EcfvXvX/7F3HWBSVOn2VHUPcQiSM0MQJEjOSg6ioCKSETPGVVdd45rWrGtYXbMYEMyiroooOWcQRESQnHPO01X13qm2mQ7V3dVdPTPdPf//fX77HlP31r3nVnfXPff/zwGefM4q1V8HT6yDg64RtE8lNnyJGtjfg6bneDuN9l3MDSU3lrFEcE22f9t/Pek2nYb8w3+zb+c+0fRS2AdLzljS47N2zSik4KphHtPRgxkEtEkNjn/c6UHJEtYj4InoZ19RwNP65ZJlDfsOeDOjGCyz6ny+BxOnuE2thhKZAMtp6LzETTZfYpke7Uv155q/H+akli/qFFSkFkFw0HL1cz+dGl57XjvddJLYtIVElff0kRusIQM11K8X38tx8H3HfBIothtp3e64RUOxTMN8yQ8XsT4Dk6a4MGtO6G8ENwB1ansdruwEP/PDBmv46GN73xFWffpEkJ941h0irmxlt01x0+/G278fRYBJiFA0ed587+eYRNPFfTyYPCVnk8+59OmtBWyASObwebMKCoROn+mKORMhVhFp/3v37qWbJFQkZxWrsVqRJyQFn7b4Hgxu77PqZebTM8+Hbljr1gY6dQwsKWRJkpXeBk/uv/ku1AmN3yvXx2HdzbFGIk9INu8/oJzJzOP1FNr2lQmSdK5YUQczlJIlSpcG7rrdY7oCUZuGG/NoceftHtPJyj8LIlybUiUBrk+0YKZqv0s0vP1uYClrtHZ2/k4yeBjF5KMQvizNCn7WB/bXzawWK/cifia7dIrtO5rkB92G+DtdurRXCJ9ZPHkZQp7kJdqpey8hTxyuXbQXdofdS/MUQ2DrdsUU/OJpTulShqkMH6tQXopNWYabYASoU0GBRYqmMkqVAgb199ahh6s7Dh5CiUwD99zlTQ/ny+ioDwM3ODyFouDqocOKaZ9MTRNaL1qV98Q6vcEDNVCs9D//dQe8GLJ+nAJ8wfHvl1zmiZJ/DB1Ed5pAZsLqtLV8eQPPPFTIbBrtuzja6XXwuJhiz81osN4Fr4tUQ07NCKag23G6sVs2Ejw23/oFpyr7rrvmSs3ypXPTZgXvBT0L/n2TsLj+Gg2TJqsB5YXMGNm6NWeNIqVE23HsufkGa02QXXsUU+SUmjqRglkD/7zXg0IWjji04KZYo7uQgqaNdbNELlrYzUq6/x6P+Xmi8GG4ILl0950eM0PFTrAMzt+Zwtfm4fs9IIlhN5htVKKEt7wn3qBLSsfzNNO5wk7Qgp2ucbGGlaBusHMJ++SGjmKbfKZo38qyQWYr+IL/V58+Otq01GFVuhbruGK5niTxzNmukHKFSH34iyCzJPHAIa/VLLVoSHCEK9lhn8R64OU534nMRqK2SnDws3HTyMDPFzf91AihECkztwYP0kxLZVoGfxjkFMZyKZZq8t2F2UKxZHmFI08++0LF73/kPCf8/qDe1qQpsT87sayRk2uzanpJPZbgLaVDkkHhVAOjx0YmC+kuReJg1PsubNsR+UuAJS+ffenGxjDlSf7j791TR9s2OuYuUODJVkwR1eBMpVo1DVSqZJjfJ5GepZBnBgBFhK2+T/2v5TvJ73+wTNUwBYl9FvIUo6X9uS8qVjRw43WaeYiTaiHkSaqtWP6MV8gTh7hHe2F32L00TyEEmML93Ituy1rpFJqGDDWPEGDZDG0r/U+emHLNFPlw4ogUK7WzOWLWwa03Z5tOOeFEAzu01wPq3VkmM2tO5JdZEgO1aupYsEg1X6qbN9UDNFJ8jkILl6j4YXxoX9ddpaFmkAsDN6Ofj3ObLkEMn81m8DLwJI9kQXC89WKG+ZIW7bs43Amsf3+0J/7bzd7yonC1377rX3kt0ALUvx/idMsN1nojy1YomPATvyeoJWNg7TrFUrA02mPIU+hwInvc5DPLh/bFE372jpM6D9xgR3JduOt2DZu3wtJSMng8tFhu3dJaG2HCRBfmzQ+/cQjn6JGdbYDZRZOnRs9moJPQ1i2KaYtLh4f27TSs/N1l6nX4BwmwaATKv56KXDLB/uhINHiAbt7v1dcjj+/G6z2oWsWrLcJMKRLodesAvXt5QsSDeUpNwVb/qF9PR/euetjyG6tngxlD4TQioj1Lvr9TcJraKcyCYDZEtGAWSbzlCdTc4KkyyUkSXt9+b40ps2Fope7vduU/LtpKM7ONv7/MpLAStQw3D7p18Sm1850a3AcJhh07vdoxVlGyJK2wDTNj7OAhxZwr9VIWLHJh3ToFh49EQzfw7+3b6qBLmX9QrJVOYMERLvuJm23aPWeW8JIoDJ7ym8SGoWD+AiVg3fl9SDHRxg21M6VonC/FgSleffqUAXeGYmZmMEuybs1C8GiBmiecJ62Jg8NKzDc2RKJfzfI2Ys6DB6vfo0g9KIqCCy/wYNJkV4iddLQ7834UWn9vtIqtW8P/prJMjmVLdKmKRnb4awDx/rTqnuqn8eEbE38LXS6uSXTS2H8e/D7l71G8wUOY1X+qpsV8m1axkW7x3jM32gl5khuopl+fQp44XNNoL+wOu5fmKYRAuBR6vhxGqmVOoSnKUBOAAF9uSFxQrJXp+two8sWJpTk336BhxuzElHr5hBqjaWr4TylaGjtPvzh2/8g+DWzZDpQto5hOFQxaQlttqphNwj4mT/O609StraN7N68bDV/AvS9+1iCHE4185z8Z5im/ne9iioMy2yNcDBmkm+K4XI9w4/C15Yb4sy9cYTdBdEmhTsmatd4NFk8FuVPz15JgX24XAsgTvnzyZO/gwfDj9GWesH1wSVa3zho6dTQwbaZqaS0Z6RHu3oWioV6BzmgRzdJ0w0Zg/UbrMbDcg+U4/vH9eNW0yLYbTOv2x4iZfqdOqWBJg38wrZyOEJEiHDHna0OHFTqt+CJaqQ+f840bVXMj6r8p4ob67jtCtX+mkxic6X1OuCnnvbbvCM0KsIuNk+u4SSMpQm2SaBu6c+rrpv6Lk2DWG11arHQ57PRL95r778k2MwQ43qefd5vfJdGCoqNXDtMw+mNXiNZOtLZ2/z58SE55GR11mF0SjgSK1qdVGUS4ch+WS/B6/2D2CUu6fGtKBzKWv/niu/EqFkf4/FHLh3o5JLnCPRcsvbl2hI7KVXL6jTe7Lhoedv/OMqT8KAVi5s7Ro5FHycOQEyeVM/bska72d5/idYkuCb/tllBi1y7G6XSdkCfptJq5NxchTxxia+eF3eEtpHmKILBvr4JX3gjd+fGElg4mFAaUSH8EmLEQzgWAGgZXXeHNSPhtZaAgbLzI8ETbyjmFWgLDBnvAU/XgiEdgkX1wY07r0UjBU1yepFkFMzooNum/6S1eXMFdd5y2tPD074P2yf99MyPApYFuAtcO9R6h2vkupkPD9Fmq6QzCenY62Pi0RGrVMvDHH8qZTBpu6oYMoi5M5JVh6rlVxg5PZD3ZgViVL4+wriT+dyFO4TYo/ponvjbUDWBJDjMWqAUz9lO36cYSa7RqoZuOMl99Ez3zY8RwDWfXifwsmJbIYzICCA2SAzdc5xUm9QVdZL782tkmPNxcqdkydFB461Rfuw/HurF+fXjEKMB85AjATXDpswxk/v8J648/u2xt1P17ZUZJ546BZA71PyZM9CtrqGokpNyTzxFPk1ettllD9NdAqWlDa1xmsvz2e/hsjmhka6zPX7zXt2/ndeRgeU9wsESIGVrBwRKlrp01M+uH2T+5EXzWr71aM7M0+B0RS5mKmdnxl4AydYUoHG1F6L7yuhv7gkq1MjMV9OrhQbMm3s8nf49YihX8u9TvYg3Z2Qp+XxXdBZDW6+v/0rCKhFVxZh601k0r+UYNvbbzTz3jNklZifgRYKZWzeoGDhwCzioNzJrrMrNPokXDcwyz1CZasEyVv6ckTxkU7+b3R3DpDf+d4rkUFvZdG63vVPq7kCeptFr5N1YhTxxib+eF3eEtpHkKIUDxRmag+IInC9SWoJI4X57276dLgtc9QCK9EDBfNDIQIrTomyVfaO+8Pdu0AmWEswONhgrrjLnx93i89c38/0lWWKWe0yGE5SHBEWlzHun+LGnhS3GkoCMHS4Wsgi9cVs4ckUpA/Ps5etTAwsXcBBig3gnnbtdtJxquVqVGVtoMwf2w3Oi1tzNwwmLjFu2e4f7OTZfLDWwJypJh2c1VI7QAq9jgPkgQ2dWsCG7L0gL2/9J/mFET/juKadnU4tE12uZqKFEi9Fpakb70ijsg5Z3ZAQ/e54Er6PGIlPnBZ5XlQQsXRydXmE1AXQf/uOwSzbTv/m2lagqOutwKGp7DMoTA55i48TO5bIUa9jPs3y9Jicsv07BkqddmmoRguTLAjNnRv9spdsusBEY40eTgtWE2CDej77wXndjyb0vyiK5CzGSxG3TM6tHNS/CEK/uz21deXGf1fcbPLrU1ihUBfpoU+uzQsnjA5RrWrVNBMczcCh+W4YSBw9330X96zCy5YsUMUC+K5TWnTnkFmkk8Utdi5y7VFOXef8C6F5IYJLxPexS89J+8F6CoVw+4YojHFFr99As3Tvs5sOUW3unab7A7H0t85y1Uo2ZN8VBggwV5SCc5akx5ghzOqNfFrFGfthB/E64c7jFLgTZuVDD6Y5Y4er87mQF57dXeEtF0CSFP0mUlc3ceQp44xFfIE4cApllzvoCTJOEmr2gxxWTyrX5Y7AoUphk8BXo6tGr1OZIQiJ8nqpgzP/JLe7AaP+vUb71ZO1Me4wM0EmGRKNAv6auhlQ37v8VLlLAOHJ076ZalJMF9s8xt7nwVp04CxaMIFyaKPPlhgoqFi0LXw+dw4cOR5Odvvys4flwxNV/oQvLHGgWffBbbpjbSutBm8dK+mrlBoqCof1SsCNx6o7WeCq/jafWTz8S3UeImlKfxmzarEZ0l/Der3MhdMyJUy4air1Onh+L54H3ZKBJki0nxQwqGOgmOiXbJc+e7MH8RhTgVs3SBwoZWmhrDh3pAdxK6O9DRhjbLF/TScGA/nTLsjeXhBz0mGUqnoF27aK8Kyzlbzeveuz3ILA5s2w68PSr6erVtY5gONBQkX7w0hwghiUVyJJHhTxru2g28/lb08SXy/nnVlxV21CsKtu91Mp6GDXRcfJGG514MdccJ1y81XKjl4v08G/hgtPvMZrZYMQXVqmpY86e9Z5R9DB2s4dMIIsdO5hetLTffV4/Q8GIUQjZaP8n6dxK2pBJYvprXwSw2j0fBjFn2iVHfGPm9SO0yO8H3WLpLvfxqqNsPBXJ7do+e2WfnPslwjZAnybAKyT8GIU8crpGQJw4BLKDNv/tBDRDaLKAwFJhpMw2eLyv+QT2M90ZH3nCTVGBZCzdY1PVo1VI3T7gpjMhU7RKZCvr385ilMOFKZZyA3PAcHZdcrJvigjwF3b6Drg+G6ephFSw1YQo8xxccLPfp2knDf15z4cCBnJc91obTDtI/PfjtUa4AVw2mjF99ZShhQKLm2JFCZlp8Vp1TZhmOVVAs9utvXKaDDMtp+lzgOWODylNRWuRaCWSyLIGuJ75g1gx1U/bs8Y6fYx4yyIMvvspI2KlqkSJ0vPGYp3pWDiS8L/VUIrlgvPWuK2KmATdgLINKVPAU88brA1+gwzkBPXCvx0z59o/s/8+ieuudDOzZG9uIKlQwsHu3gnLlYG5Qw9laPv9Shklo+wcFdLl1WLEycOMRy+b5ofs8mDnXZbpjxRq33KihUkXD3HTZcdWhdXGVKjBLMUqX0rFuA8u0gMziOj74KAMkORIZwSfdiezbbl8kcXjancolH3w2+d0/foK9jSpFvin27SsXnDxNxcxZ9tqGw5XfU9Sj2rc/9ufU7lpFus6JsHAi7p8bfZAopRsRtbvyC1fOiyWAJMxZ+hdLDLhMs1WeyT59TnlWh34NG+oYMiCyplQs48rva4U8ye8VSI37C3nicJ2EPHEIYAFuPne+gi1baSln4PdVsf3wFWDYkmLqkXRN/AfIcoMLemooVMj6pZWimr/9puLEaYrLedNifVG5MnDT9YGbZGZkPPdCqBPGP+7U8MLLict88I2BVooUMP1wjCtAN4B2xI0aBG5GWds+6gN3WG0fH4FE5wmelG3bpqJKFQPnt9fMza8vfl2hWL7U3XGrhrJlc+7500QX+BnyBdfklhu9pENwsNQh2DKcmQd1agFPPhuqBeBrf1k/Dc3/0g3gv02crGL23MDPKktRWAceLSI9M1zrRg10KKqBti2NM5aR1MEIfikmaULyJFJQqPDb73N0T3jvIkW8hAlLCftdqpkk3FcJ1BkJztA5eMhbtuMfnOfNI0PHzlKbZ19wg5l7sQTdR+hCwqCuBXVfSKS1a6sH6EM88XRg+RCvpyYQ3YiCg5vXYNFZjjtYs4rPGa23H30iNCujelXD3PCTZKQl7Pig7CHek+KxAy7zaswsX65i3P/s/wZQ6JOCn/7B7JBEEyixrIXv2nhLAsPdixo+w4d6MxdSNVgitNXPYtl/Hv7fCyzHHDLAY5JkvqAFbCSHrFgwoR09y+n4HXB+Bx3ffm//mQu+D9e54/k61q9Tws7N14aZNLRWdhrxanU5va/T9tQr4eec3wmHDwGvvpHYTC6Kd584QYIM+HmyvTUlIeJ2GwGHFJynVWkttU1ITFtlB5IYu6CnkCdOn5G8bu/L2M3r+6bL/YQ8cbiSQp44BFCan0GAJ7XTZ4ZXsk/VF4eCusTMGLnjb6fPlCgwK2P2PBWHDikoXMgw7fyYNu4L/7IRrvU/7sxGsaKBL5zUwHj3g9BNRLeuOqZOs/fSFMt6MF23YgUjJJOEL/yPPOgJEP2cPlPB1OnWG5watG68SjP1VzIyFDDVOVyQWJkyLbSfvhfqprYEc6R5Iv3BR6HXdO5ooHvXwAwIltk89qSVnaeB2jU1vP9R6N/ojHP+eTn2nL6xfj7OhZVBmQp28WRGw8GDXsFRqwgmHzQd+JfFuH0p1JHuy7avvRFopUythJHXBmJDV5I333Vj/367s7C+rkF9wywNCA6Sg9R6oKUrybYLL2AmlfcqEjzEgnax1DOxezLvfw+KIR49TlII2OuXtUJi46aROdlMP/6sYv6CwM+HXdtv3o8bh3JlDKxcreI4n0HAtI1t2VzDk8+GlmN07sSMEsO0Ii9ZEmaGCUu9gl3XWPL1wD1eDZjihYviHw9nhxWbDph3kFPKT5NcmDvP+ebU2VPgbc2yMp8IcyL6Yx/cFJ72IKG6Qokam51+6KhVqbKBrX56aJHacbNd9y8xZrqxzbSho2NnHP7XXNBDx9r1SsTyvGh9stStdi0dK38P/9vD3zKWfPyQAF0ZuojFk+UVbR7h/k6CiN9X0VxzrNqzbZeOXhtt/8OBHTsUvDUqupNVPGOuWdPAtm2KbRK6fTsDhw97Nfioj8bf+k2bQ8XKwxGizI66/loPSpfy2rJTfJkZsRQ2vvRi7YxgcTxzya82knmSX8in1n2FPHG4XkKeOAQwzZofOKhg+XLFPDnm5jhYqTzcdMOdtqcZPAVuOlk1gWuv8h6n06KWgpW+8JIr1H8A5i1QTbFK/wi2JuTf+GJCd4Xg6NRRx+7dcGwbarVA9c42Asbtu+bG6z2o6ndCOnGyC7Pnhm7ghg+h7o+BT75wn7FkPLeRjoFh7GMPHVHwYpxZNB3P09Gze+ApGEkrq+yALp11tGiq46VXQ/Gk3gBfeoPDylmHpAhJABIjkYLlFp07avjfeLcp8ugfJTIN3HNXIPlAwVarbKJwFsHMjBj/s8u05WS2kJXzyB23ekyywj+Wr1Awzoa7Tri5lStr4KorSATaKwPieowem5PJRHLh7Do6lvwSmfyzm+HjGycFTynWScJi1mwF0yIQ03a/mHwn977ru3XRLTVOSmQCR6LYlPr6oBYSycUTR4vg6Zfspd7wM3nFUO/zQr2TF4MyfOzOR67LOwSoj/PTzy4sWhKd5CI5TcFYblrDWbT7j5x23Hv2qDFlHpHA1nVutO19bp0gxeeVn0OWSMYbJTMNuAsD+/fF30e8946n3Tn1DQz7i1Dmdx6zhxYscWHXznh6y50257U30KsH9XBU/LHG+vuXxI8/Me0bCUXC77g1+8xByLMvZISUgl5zZfhSytyZkfNehTxxjmFB6EHIE4erLOSJQwDTqPnadQo++jjnNJwpuDdcmw26rESLr7524dcY01q5GevbR8PzL7jPWBpGu4/8Pe8RGDRAA18erUQ8u3XV0KWjgc+/coU4MPHFefgQj5lWW60aN5jel9xRH3o3yMFx9981TJmqYtmv0Z+34LZNGhto2kTHmE9CsznCnToFb+JZzsKyFv/gifHdf/eYBEUwuUCbzBbNDdP+ddHS/98tGED1arpZTrF6DfDV1xk4ddowPz9Fixi29DBIiHTrHJpC/P0PLizyE9nkGPv309GsiY6xn7ixxq98gw4dNwRlaPjmdOqUgfc/yjhTwkHh0xHDPShR0sDcudy8KGCJB7M8Pv8yEIuB/XXaeCJQAAAgAElEQVSc21g3szwoEOrvOsSNMJ8R/6Cjwb+eCs1qGDyAriuBc2R2zb9fpo1z5I0Qy8D8SwJ892NKve/0eP9BxVIwk1lSLZrp4NNF7R06iGmagrJlom++WJNPVxrq9hw7AVDgOFqwXIMuD5u2qKhYXjc1IGbOcZnOItRvWLFSNU9NwwU1dug0YlWyZdWGZTC0bHUaZ51lBGj6ROuPBDs3MYcOurBshb30dxJWdL7iJnvVH3Qysc74Irnpchk4eVLB7j3RRpI+f6clfPNmmik2PdoiQy2vZ+pfavfFOJdpUx8tWBrJ63buVLEvQmYYv7sH9NdMa3Pq96xYoWB1DGKy0caRqL9TF4mOT+Es2BN1n3j7YRaNJ1sB9ZecBjWl+NtNu/uxn7nwp9+hidO+E9meWZpewdnw38fMIgnOmPONgSQ99bkomm1F4IYj+hM5h0T3JeRJohFNz/6EPHG4rkKeOAQwjZrzlDjY3pNppj2CygispkyBzV+WRX+h8m9LPQ2mrY/2I2zSCM60mQrdS6jB8MzzoRth38vF9+NVLFoSeUNZ72wdVwz1plp/NDZ0s8SMi0oVSYDEXk/NFyTaWsYiOtejuw7aJTI49g0blYBNATcMWTUM1MwyLDfL/Gy0bK7jjbdcOOXnVMB035bNvS+wTAVesFDF76tDLRWtHhDWZl91RWj5iJUtNEs7eC+ehh46rJib88KFDVNDI1iMlVoh8xe54ck2TLKgQkXg1EnWgXtTlK0iON2eL5i33ORB2TLA8RPAokWqWQNPK1mWdVgFvxP8xXfrn61j+NDQDTbLYz6wKD/y75Mk1D13ZptzI1myd59i2vouXOQyNwzchFELZdUqBV9+HTgp1sdTmDicIG+kDystVukWYmVRHaldJJvoufNUS/tZ//6YPcTT9Y8T6IKUTF9Kvs8JrbJJnFkFS6m4vuvW5/yVz1+kzXgyzTHesTCT57qrNfNZH/spLaqjk3Xx3Iv9U+CZehPRguLbQwbpeIGuM4dj+60P1zfvzwzF3r00UHibQZeynybmznyjzTGV/55orR5iEYl4yCus+KQVKWr9jD70gMfUM7NbTmY1ZmZY8xDo2X9bvN900tC1i3MyKq+w4n2EPMlLtFP3XkKeOFw7IU8cAphGza2UyFu3ok1h9NPEz75Q8fsfsb3wcLN3+EgaAZimU+Fpf/kKBt54KyNk03LzjV7nke/Hu/Dn2ugv1COGayhdysB/LQTnBl2uoV5dA08+Fzt5Ei/0zA5gnTRLP2INZmbxNJL11sFx390e84SSp1nhTr2s7kdC5G83h5Y+jP3MjTVrIo+wbWsDfS4MJV6YbfLfN90BGx6SCSyhKlbcQO+eOho3Cn1BZKlQ8CkrnRFoLxlLUCOHVrjVqumoUS2w5bHjBgoX8mYVvPVu6LoXLgSTmKpS2cAlfTQz6yS4fMy/x6bnGrj8Ms1cT2aKeDQFjRvqpuV6PLFylYpx36i2a/CD73HZpd7sih8nuEzypX49HV06GWY2SbQTbOosmG0txFrjmYvdNrQjP6sUYs4ktNu/77oe3TR0Ot/73FllfcXaXzpe36ypDpZvffZl/BtE6t3QltxKjJflktQzsbLktsKTRCndWZgpFilYxnfkqP3vVH4PUyybMXWGC9Nn2G+bH+ueDKRCfsw7t+/JZ5WHGHbjtls0TJ2hxq3jxfv4nNY+/MiN9X7lqCyzvPM2zxlSz+6Y8vs6IU/yewVS4/5CnjhcJyFPHAKYRs2t7EF9ZRmRprluAzB6TN5teNMI8qSfCkX/Nm72Zk34vzBS76RJY6Zlq7a1ETjZmjW8opt0mtm4KfQlqVlTwyzp+OJLZhMkPTxhB9i9i84qnrCbEmYlbN2mhtgDkyS4aWQoAWKlVWJ187vv0EK0O2bMVs1yqEjBsotmTTXT0tEXVmQqHS569YiPiPC/PzVTPvsqp8ac5Mb6jWpAuU2ZMgZuv8VLPviCVsBWxJt/38HCtfE+RXbuFa1vEmzRtGTC9VG3DjDwcg+e/XcoiRXtvszQ+ejj2O1/aW1dO8u7Qc7t4GegfRsN9et772TlBJXbY0iF/in+3ORcHS438PW3iXXsocvI9u0sl4nt4CMSbizfowuZndI2/37OPtvAiKH2y9RSYe1kjNERYOkMD2DiySZ7+H4PtmxX8KGD0jZmalI8m2T2jJkqDh5WULwYzN/D8n4uetFnkhxXCHmSHOuQ7KMQ8sThCgl54hDANGq+YydTxHlC7Z1UVpZX1I/WmZHi/dHWG+E0gqbATeWCXjoaNzDw4ivWL+sUyaTWR7TTcyvgeNJ5xTANO3cp+GW5GuJsQZFM/vfGO85dVPJr4VhuUTtLDytid1Fv3cy2WBxU6hTONvHkKQNPPxflgwhgyCDNLIXzD57M2d3I9O+X4zDw3mgXNgURXIP662jcWDftQvfsVcyyne3bFTSop6OsxYsmXWjo9GCWE7UzTM0QxnMvUnw3cHWoIfPHauUMZsxQuvRiHSxl8gU1PXgKHy5YWkRhy0TEtOlekdb8CurLXNJHx1NxZGLxu9vfNtzuHHIj9d/OvZnRUDgDWBZHBpid/tPhGmZnsIQsUcGMFivr1kT037CBjt9XxU7I8LCGJUpOyjASMX7pI/kRoH32yVMs34SZHRKPo1CZssB1V2aD4rHpEkKepMtK5u48hDxxiK+QJw4BTLPm3Azzx2j1GtV8sWJ6Ln9YBlzmTV/ct1/B4UMG6MrjzlBMq8uXxCkhrZ4CCp4OHujBosUKfp6Ue5tHZhss/82FY0cDN/vMvuBmakouWBfn5ULxNC2STgZPzejg49NzOLuuNytn+a+qWepToYJxxiqRJVFWYrjB82HGAT+vFGoc/5MrhKCINn9unh97yGOKqVLUlxkvFEnkv9NOuvP5upk1NHe+ddZQxQoskTHM61mLvn5DznU+IdvTp2BZmtWlk25a4x4KElH1z6ahdgtdEcIFS5A6tHeeGcP+6SrCcrT8ihHDvCRQPBpA+TVmJ/fNL+LGyZhTuS2Ffj2J4RkTBgNF5KtVN/DD+NiJl+BBqCrLi1JLryJhQKZpR5ddouHgIcV0+JsQRRfn4j46KpY3TIF6/2Am44DLNMya4zJL2fgLxd+MYJe7VIVQyJNUXbm8HbeQJw7xFvLEIYBp2JwZAW+8HfiDIy+2abjQUaaU4U6Mcn+syBXPVNCqhY4ZMxN3GkR3lZW/u3DiRPK8TD/yoMe0Aq9QuggURcGaTSfx2htu06HHFz7r4s1bFIz6IPJGvlYtA9eM8ArI0ko33mD2yTf/y9Hk6N1TQ4f23jExE4UZKZGCTj18yX3VQtdm6CAd59TXLa2X6ZZE4ig4aKdLYsUXtEUf9621ZgiJH/8yn0jjXPqLgl17VGS4vU5N/inap08ZmLvQhakxEnjUW2HWEXVKqPUSTzRvaqDJ/ztH1alFkhp42cKKOp5+nbSR738n6KVW2/xc69q1gKJFrXWkYkXx+qs1bNkK/Dw5/u/CWO8p1+ceAv6OT3bsr31uZUt/UfHt997flcKFgWFDNKxerZjCxP7RvYuGzp2S5/0gXiSFPIkXuYLVTsgTh+st5IlDANOwuZ0fpjSctkwpiRCgNsomCzvjZBlimbIGMlzWIox2xkgtjLtu9x77Vilb1PzfseNOY7oFYeTT8GAZ086dkXvntcwYmzk7vpNbvlyeOhV6j1tv8ph6KHa/G2rUMCztqCkSyvKDnyer2LMnkFwI14bCqcGCr+FKkf55n8d8QY4Wwdkz1PNp1EAHtXzqna2ZDkGxOor4hAdnzWHGTnwbNm4QHn7A+1yQWGN8Po6CiPGtZzQc7P6d7i9bt0UXCrXbn1wXHYH8ECVlxh+to9Mhbr/VY2bWvPlO7JpB6TD/ZJtD3wt1cz1mzKJ4tpekoEDs1u0Ksv3c6pgxBBghosTt2uhguSvDzu9Ql846unXOId2ZRe0j1v/1VKiQu79ocbJhF8t4hDyJBa2Ce62QJ35rv//gEdz/1NvYuecAvvvwqTN/2bxtNx585l2s+nMTqlYqh8fvvRbNGtU1/y7kScH98ISb+cIlakLSZqMhW7SoklSZANHGK38XBEqVBJjh0fE8DYah4LU349sk02HmdLaBSpWAKwa4UL+uilEfn8L8haGb5H897DGtRL/5TjXL6SIFyZMp01VT+C5S1KgObN4SekXpUsDBQ6H/3q2LZrrErFqt4NPP45sze+1zoY7xE8KPrWZNI0BnpVQp4I5bvRk6TLH+9jsXtm1XzFTr4DNCvhgz84RBC2PDMFC4sPVG0EoM187TzawaWruGc5aiuOfxE/GTav4bZrpADR6goVw5OCLE7MwrkdfkZ+ZCIueR332dVRpm5pFE7Ajwe+S6qzQzQ235r+lBBsWOgv0WxYvDdoln29Y6ChdRcGC/t3ybpKqdoJX8r7/lXFsrC2jeTAsRQabDGkWHV6zMubZ1Cx0X980hQvhb8MbbkUmxm0d6ULmy9ciefNZt/kb4B69lm1QPIU9SfQXzZvxCnvyF87HjJzH05sfRuX0zzJi/PIA8GXHbUziv9bm4blgfzJi3DE+/OhY/f/oCMtwuIU/y5jlNqbtQ9+StUW7s2JFSw5bB5jMCBWHT5D9HbuwPWRANsS4D+3z6oQw88ER2rE0Drj+rtIE7b9dAl5jX3oz8Ytm0iRHTpoIvzEePKebJ4dp1Skz2yxwkS8D6XeLBrLmusNkzJA4eesCDmTMVHDmigC4MbdvoWLPWqz0SzR6V9+naWcOGjWqAkxNJlTatdVzYSze1WPj9RhvmeIIihTwpdRrMpqHYYTRLVr7Qd+yg4Ytx8RNWTscq7QWBVESAmQeLFlP3KfVLMRKNPzM+mOnHbzISFX+uZTaHve8YZgHy+4vxwWgXNli45tkdb8mShq0MvyqVddw0MlDLirbCc+a6sH8/kJ0NHD4S+L3M37jL+4U613FsM2crmDw1cL59L9LRplVi9LLszj83rhPyJDdQTb8+hTz5a02PnziJvfsPmf899uLoM+TJvgOH0XvYPZj3wxtw8+0UwICRj+K+W4eidbNzhDxJv89EQmbETRJrQvm/dL1YvkLFho3ONw0JGZx0IgikGQJNGytY/pvzl/yrhntQpw7M7Ayv+KqBHTvVMw5a8cDmtHygbBkDHk2JSjT16K6h03mBGPA75wMHNpT+86Ud8wU9vS/T1I+hjkx+BTNYKlTwnvZSVDf4FNR/XNRQCff3gkBY5tcayX0LNgLcTM+br5gi+ekW1Ja5ekROlgWzR955zx55Qte0C3tRcDX+8sR48IykZ/XK627s2xfYq79GitX95i1QQf0sRQWoM9W6ZeoTJ5ynkCfxPF0Fr42QJ0FrvnTFmgDyZOmKP/H4S6Px7QdPnrnyH4+/ibYtGmBg3y7YeeBkwXtqZMZxITDufyp++SX9XiTiAkMaJRSBkiUVHD7snDxI6KDysLM+vVSMn+j85a13LwPndwjsh0TBxk3xTeaSvjom/KQiOw+ymRvU96aB166lo1cPwyzVmTpdxdTpifnOySjELA5vvxkZRsTyoYwM72lmsgdxKlnCwNf/8zqjSaQvAiQxWTKma8oZzYj0nW3+ziyjkILyZQ1sT+Ps25bNDVx2ac6XBrMxJk72llSSeGBm5UGLsrGhAzU0asQSShWLlybmu9nOaj/+iAZPtlfIW9cA2mFTp4Qx6oPAbEP+G0ts77nLOvPEzv1S9RqSJ6WLF8LewxbiZak6KYtxVzqrSBrNJu+nIuRJEObB5Mncxb/hlXfH4fO3Hz1z5T+fHYV6darjqoEXiJVb3j+zKXtHvkg89nwe7KJSFiEZeG4j0OgcFfXrAl//kF47xUsudIE2vJNnOJsXN1idOqho28L7UlurpoIfJur4/qf4+q1eVcWWbaFtCxVSUK8O8Nuq3CG8GtZX8febVHwzXseEyfGN3cmzWL2qgi3bcmduTsYV3LZEpoIjQVbf/te4VEDLe/gSOUXpKx8QKFuGGRfJ//zHAk2zxgqWJSC7L5Z7Jvu1TzzoQsXy3t8KZhn/910Nq9Z41z1cVts7L3tLHr/6zsDEaXlDTpzbUMHQy1146kUPjh3PQfVv17vQpJGCux7ScDSoPKt9awXXDLOXTZPs6xTr+AqCTbdXWFgiXgSEPAlCLpg8+eW3P/HQc+9h/Jhnz1x5+8OvomPbJmbmiQjGxvvoFcx2z7/kxtGjBXPuMuv8R+CCHhqWLnOZuh4S0REoUxa45grNFBxdvsL7stHwHAOVKxmmsGy8UaWygRuv1/DUc6HCe/H2Gdzu0X96MG2mipmz4h9nosYi/QgCBQmBZHc7i3Ut6KLVpImGefMKxndJONc0K9xq1zJw9QgN337vAu3bo8Vdd3hAYfGNGxW8n6CSSt6zXFnDFGOvUslA2bLA4iUKDh5STEce2tVPmqJi9tzA9WNJ40P3e2AlAO5zP4s2n3T7u5TtpNuK5s58hDyJQp4cOHQEPQbdjTnfvYYilLGm48GI+/HEvdeixbn1hDzJnecyLXvdvccrRCkhCAgC+YdAw4Y6Tp5UsH599BddjpLCqyyFadfWQI1qOafJe/YAP01ym2KBkaJIYeCkRQYwXYAeezL3bEDvu9uDeQuFPMm/J03uLAikBwItmhs4sB+OxE2TCQl3BuBJYFkhLYB/mhhb6R/JCerBnIxQ+V+6tIFTp+iqGB29Lp10kyQJF+Gck+gw9877LmzdGvh7eF57HRf0LHhpd0KeRH/W5ApAyJMo5An/fN3dz6Nlk/oYObwvfp6+EK+MGocJHz9nCshK5ol8jOwiMG2GCv4nIQgIAvmHAB1fdAPYvsMeeeIbKV1nzm+vo2pVA2fX9Wp/MP7zuhv7g8T2fG3COQoVLaLgnruy8fjTQqbm35MgdxYEBIGCikCsYtFZNQ3s3GVNdpC4WParaqlx4gTfkpkGDh+N/jvFTKdrrtTA3yi6oVGo99RpBZmZBrJPszQRpsD3liCChHbed97uwc5dwMefuc+IklOQ+6oRGgplOBl9arYV8iQ11y2vRy3kyV+IT561BBSC5TdPtkdDRoYbtapXwjfvP4kdu/bhvqfexsrVG1G9SgU8df/1aFQ/y2wp5EleP7Kpeb8t2xR8+rlLSnZSc/lk1IJAAAJ8SR0xTEOd2gbWbVAwekxsteE1qgM1qushadQCsyAgCAgCgkByINC4kQHaAdPGvm1rwxSVZrZgcHTvoqFiReCTzwN/B0qWoAVw7s2F5VR/u+k0+L++ePcDF7bYcEJj9s2VwzSQFPLFwcNAhssI6C/3Rp+cPQt5kpzrkmyjEvLE4YoIeeIQwDRvfuCAgnHfqvlq65nmEMv0BIF8QYCOMqwX5wkmT+7eHuUGa8g1Lbw1br4MNM6bkiASB5o4wZNmgoAgkKcI8Hu4Z3cdxTOBb751nuFL8fAH7/MgI4groW6Iz1WHE6xUCbjxOg94/dr1Cjb8VQ5au7aBUqUM/DTRhTV/Kubf+dtgN7p31TBlWnRS/pEHPWeyIJcsVfC/HyK3adrEQLMmGmplwcxUkQhEQMgTeSLsICDkiR2UIlwj5IlDANO8+etvubFrd5pPUqYnCBRQBJh9UqE88MbbLpxIM9d6IU8K6EMt005qBFguSGcXiRwEKlcGRgz1gNkUTz/nvBSyXFngkr4eZNW0RnnjJgUbNiqgDGL7drpJoIeLhYtV/PCjfZbi/A46enTTTWLjy3EqVqyM3Pau2z0oVBgY+4kLW7dFL/FhpkntLB3t2xmgMK6EkCfyDMSOgJAnsWMW0ELIE4cAJnHzBYtUbNoMFC0KNDvXQPXqodaDmzcrWP6rguMnFZQta0DzAJnFgQ7tdfMF54lnnP+QJzFEMjRBoEAj0K2LBo+miKNNgX4KZPKCgCCQnwgMHayhQX0Dv69S8dmX1mRDzRpAZgkDK1dGJhjq1zMwfIh1isifaxXMna+axEnRogp6dfegebPwltS87gMLR51WLXSUKglLx7YunXV06+wVauU75GdfubBmTfgxP/aQB19+rWLl7/YJGvZdsoSBv92soUiR/Fy55Lu3ZJ4k35ok44iEPHG4KkKeOAQwSZtPmKhi3vzAH6NunTW0aWOgWFHvoLdtV/D2KOsUydpZBipWNDBvQWw/aEkKhwxLEBAELBA4p76OI0cU87tAQhAQBASB/ECg70Vet5dEZaTEKqaa23OuWAE4u46OU9new6zt2xWsXaeY2hy9e3lQtbKBUqVhOgK99lbogVXRIsAtN3lMzbl333dHLUfs1UMHM0D8Y916BaPHhr7vDeyv4dzG1gRKOJOAO27xoGw54Jnn3SEZi8yiuXmkdWrRRx+7zHn7YuhgHQ3q65ZWw7yG68jsGCu3N/69aycNXbuEJ39ye12TsX8hT5JxVZJvTEKeOFwTIU8cApgkzVmLOmuOgsNHFBQrqpj/N1XLg4M/wjeO9ODECcUUe1z5u2yakmQJZRiCgCAQAwLJtkGKYehyqSAgCPghUKmiV3cpnihfzsCevTnvMSx9adLIwNJlyfNuc/llOpqeG2qbO3eeip8m5RxQ0TJ41R/ekhpf0BJ4+BAPMjO9/7Z3H/DFODd27gyPVrOmBvpfGph9MuFn1fIwrEZ1A9dfY52pMmOWiinTQg/Q7v+HB8WKAVNnqJhu4cD44L2esBkhHD/Xiwd0LLsJl91CzRWWlbpU4Nhx4LkXQkmlaPbG8TxPqd5GyJNUX8G8GX+ekSezFvyK9q0amfa+6RRCnqTHar4/2gXWsUoIAoKAICAIpDcC/KaX89b0XmOZXXQEKIZ699+zMX2mG6v/VEAioENbDctXqGZ5SjIEreVvuD6UnNi1W8Hrb4XuJ2i9u2aNiuMnKNLKDBIjRBg1HGnhm2/7tjouvCCQrPl+vIpFS6wx6dFNQ6fzQ79RTp8GXn3dHeC4U7sWcPUIb2ZJWPLkvmwUKWzvfXTZCgVffxOKQ7cuOkiO+OLJZzNw+nTgGPtdrKFFc/km9H/OhTxJhk998o8hz8iTVr1vQNEihXFht3a45IIOaFy/VvKjY2OEQp7YAClJLuHJzIrfvKmtlSoZaHqugV+WKzh4UAFPCCQEAUFAEBAEBAFBQBBIRwRq1TSwwe+QqGVzA40b6WA5iC/TtlkTHUWKAvOToOS4WlUDgy7XUbp06AZ//AQV1KULjv79NDRrEpkQ4FxpL7/eL0PF1w8z8q67WjOJJP9YvkLBOAuSgtdUq2bghms1rN+gYOkyFceOAcz86NhBx7FjBuYvcoFESolMBJQD7dgBvPluYEZI9WrAyGtDy3a2blewZw8t7oGyZXLGduSIgX+/nBGCw+23eFCuXM4/M0NlzKcueLK9/0Yb5kGXx2D/k44fCIs5CXlSQBba4TTzjDw5eeo0Zi9cgUkzFmP6vGUoV6YULu7ZAX17tke1yuUdTiP/mgt5kn/Yx3JnOt688bY7oBSHKY+nTsXSi1wrCAgCgoAgIAgIAoJAaiFA9xaSBsHlyIku36tVE9iwKT5sbrtFA8uIosWKFQq+DENkjLxWQ/Vq0fvgPagFQjJhwwYV23bAtBNucI6BypUNzJ2vwJOtoHYtAzVrePujhh3Ld4Kjbh3gvA4ejB4TSISQnLr04sgEBcmsOXNd2LfPQJ06Bnp201A4KOvkQxI9G3IyUbp0NkANPl+sXKXii6/UM2tLwomkmFUcPmyYYrcZoXxLNNgLxN+FPCkQy+x4knlGnviPNDvbg7mLV2LSzMWYOGMR6tepjv4XdUKf7u1QqFBqfaKFPHH8DIbtYNt2YNoMFzZtUnDOOQYu6KEhMzO2+2VnA1u2KVi2XMWy5fbSIGO7g1wtCAgCgoAgIAgIAoJAwUCATjEkHqwOn154ysCb7ylYtz42LNq10UHNEjsx6kMX6HRoFbWyDAwd5HWRIVFEgdWtW73qqXRMrFs7MrHCOb05yoX9+3L679tHR5uW3rHNmKmGuOQMGaSZ76lWBgGPP+LMV5olVOO+Ca+b4sOAcz1x0kDRIkpE62Q7+Bbka4Q8Kcirb3/u+UKe7NyzHxOmLMDPMxZh9bot6NyuKbZs343DR4/j1SduQ4Ozw5ir259Xnl0p5EnuQH3iJPDCf9zIPp3Tf8UKBgYP1DBvnoqdexSwFpY1u9t3KihzloE2rQ1UKJ/zw8gf7zGfRFdWz50ZSK+CgCAgCAgCgoAgIAikDwKNGhjoe5EHk6e5sWRpKIFBIdTjx2OfrztDwSMP/FVTEtR86zYFf6xWTJccCsDOmO2KKPjK5hXKA4cOAaf83iH57xdfpKN1q/AkTTiHnH897DlDSixcrJrjYfYGxWXpePPdeBWLLTRRSJ5w/D9PUrF5i2KOv3cvlgXZwyjceCiCW7+evT7kKvsICHliH6uCfGWekSdHj50ws0y+nzQXi5atRqN6Weh34fm4qHs7lCpR3FyDNz78Fj9OXYAfPnomZdZEyJPcWaqZc1RMnhLKttPthsSKVRQqBNx5W7ZpX8d45t8ZOHHCXvpm7sxCehUEBAFBQBAQBAQBQSB9EOjQTke2B1i0OLFacd27aGjc0MD02S5s2aqgUgUdlSobmDotUBC1dGng4MH48GSZEomQcDF5moqZFhp4D93vAd8xwwXdib79LnCczIK5crhmvov6i7WyPOj+ezymjXBwMPOFJUOaTudHoFgxA19/GyoIe9/dOe+68SEhrawQEPJEngs7COQZedK810iTJKHOCUmTOjWrhIzv0JFj6HL53/HLxHftjD0prhHyJHeWYdYcFZMsyJNod6NvfeUqCijERcZeQhAQBAQBQUAQEAQEAUHAPgJFi8LMrDh82H4bp1dWrWzgyFHg8JHIJdYulwJNi/9gzD+LJHjMs+eqmDg58N0xoxDw8P3Ry2+mz1QwfabLzJA5uy4woL8H6zeo+PzL0HfRHt01dDovcA6aBrz2phv79ueMiporDH/Nk+OhOxUAACAASURBVE4dDfToKmKvTp83IU9yA8GC0WeekSezFqxAh1aN4KLpeIQ4fuIUihUtnDLoC3mS+KXavQc4egT4cGyoL33i7yY9CgKCgCAgCAgCgoAgkFwIuN0w3QHzOkgWPHCPB8ePG1iw0AUeZuVFUNPu6NHcvVOpUgbuviMy8fDBRy7QnYbBTJWrRmionRUfWbPqDwWffhGaOdKrh2baKPvHzNkKJk+1sF++zYM9e4HtO1TUP1tH5cq5i1FB7l0yTwry6tufe56RJ/aHlFpXCnmSuPWi5drosW7s3iPCrolDVXoSBAQBQUAQEAQEgVRDgOUdzGIIdsjJi3nQsrh/P682yKNPBDoV+t8/nFtP9646KNi/8nc1IJMi0thbtTCw2EJHxc58FUWBEQUoln0PH6Khxl/uOZH63btPwYEDBrKyqK0X/zsp1+/5l9wBOjBFCiu4567sEMebcPomV18ZP3ljBzu5JgcBIU/kabCDgJAndlCKcI2QJw4B9Gv+5TgXVqyM/0cqcSORngQBQUAQEAQEAUFAECi4CPTpraNtGz2sRS+R6Xiejv0HFKz83fvuVrUK0L2bB4UyFIwe4zK1UexEl85eRxsSDZGiSmUD23fYe08k6UAXHFUBGjXUUa6cnZHEdw1LjRYtob0xULoUTNx8sWs3MHuOagrHcvzErFKl0PvQtviD0YGZJxz7ww96TBtlidxHQMiT3Mc4He4g5InDVRTyxCGAfzVftETF9+PzJjU0MSOWXgQBQUAQSAwC4U5vE9O79CIICAKCQOwItG2to2cPHXPnKli1xoU9ewLLiJhBcdMNHtPtkFE6sxBOZ2s4fkrDG++4ozri+I/o1ps07N4NfPm1NUtwcR8drVroZhnN+AkuLFgUnUAZ0F9Hk8b27I9jRyenxbFjwKuvuwPMDOjAM3Rw7PeeO181nXmYRJNRSAFddeItGXIyp4LaVsiTgrrysc1byJPY8Aq5WsgTewDqBkz2P1w89qRYCttDUq4SBASBdEKgXRsDTc7V8cnnrlyv908n3GQugoAgkLsIFC8OnDwBaH4cAGULO3XUwde5Nq01FCuW82LnT5488nhoBknxTAXt22rYvk3B73/ktGNWyOABukm2kHQJjov7aGjdMkcfJFx5S3C7nt11eDwGKlVSTDvh3Ipp01VMmxl6+PfwA56Q0hw7YyBxQneewoWjE0R2+pNr7CMg5Il9rArylUKeOFx9IU8iA/jnWuCrr72MPNXbz2uvm//5pyDyh4I1tRKCgCAgCBQ0BFq30NGrp4av/+cGxQUlBAFBQBDISwTO76CbmQ5z5tnL/h15rYbq1UIFVP3JE7rGUPzfP1o0N9DvYq9Y67oNCjZvArJqAbVq5vT1wUdubNiY06p6dQMjr/G22bhRwZJfVGzYABw+Gtt3Ze1awNUjbNYQxQj+1Bkqplu4O953twckoCRSBwEhT1JnrfJzpEKeOERfyJMcAKkKP3+hitPZQJXKQI1qOp57MVRojErhN13vMdMvffH6227s2uVwMaS5ICAICAKCgCAgCAgCgoAtBAZdrqNxI29WxrJfFfxCcmJTZGLi8v4amjaOTJ6Q6PhwjAvMOmbw8Oy6qz2oUD76sBYuVnH0GFA4A+jQ3luqs2WrgnffDy/8Ue9sHdWqGdA0FSdPGFiwKJQIGthfw7kW444+oshX/P6His++CLxf0aIKHrgn22nX0j6PERDyJI8BT9HbCXnicOGEPPECSOLk7VFuUBjLF2XLIKzKesmSwPDBHtNybfsOYPyPLmzZFttJgsOlk+aCgCAgCAgCgoAgIAgUWAToQHPfPR6zrHrzZgWjPoyuTHrf3dkoXjz0fc0/84SAHj8BLFqsgJbLbVrTtSZ+mCdPVTFzdigh0qWTjrPKAM2b5JTlrFyl4vMvQ6/t2lkH/8uNmDxNxcxZ3nvScnnQ5R5k1cyNO0mfuYmAkCe5iW769C3kicO1FPLEC+DsuSomTraX8umDvGQJAwMv1/DJZ4FCWw6XRJoLAoKAICAICAKCgCBQYBBo10bHtm0KDAXYujW2g6grh3tQtw5ModJopTtDBupo2MCagAgmTxIJ/qTJLsyaGzqvxx72Ej/+ceQI8O+XQ5kaCrjmpvYJx0BrYjW2V+FEwiR9OURAyBOHABaQ5kKeOFzogkyeHD9hYOcOBZUqGfjsSzc2WqR6UttE85arWoY7A6a1m4QgIAgIAoKAICAICAKCQGwINGpoYPAA74tW9mmY5dIsn7Yb112loWZNA9//qGLR4sg7/8ce8pwhB5b+ouDQYQXMXmnXVg9w27F7b7vXUQ/q0y8Cs2KqVTFww/XWL5hTpquY4SfiWr+ejuFDcifrxO4c5LrkR0DIk+Rfo2QYoZAnDlehoJEn+/bDrIk9cEjBit9iO91wCLU0FwQEAUFAEBAEBAFBQBDwQ8AnTPr5ly6sXBX7e1nDBgaGDNSweKmC736IXLbjc5AZPdaFdetz7lWjBvCPv1HzzmtVnBuxeImCH392mWXitWsZ6N9PBzOYw8XBg8CmLQoqVTRQsUJujEj6TDcEhDxJtxXNnfkIeeIQ14JEnhw5YuDV1zNw6rRD0KS5ICAICAKCgCAgCAgCgoBjBGrWMMzMEZ/mRjwd3nWHhtKljIilO2XOMvD32zTs2qPg9TdDSZYrBilo1lS3TZ5Mme7Cmj8VFC9moG1rHfXrhSdC4pmTtBEEYkVAyJNYESuY1wt54nDdCwJ5snadgs1bFWzaqERVYQ+Gs1AGYkofdbgc0lwQEAQEAUFAEBAEBIEChQAdaWg3HG8MG6zhnPoGFixUMf6n0NKdcmWBAZd5UKUKzKzjL78OJU8u7Kmgexd75MmX41xYsTIwS+aKYR7UqxvvDPK2XXY2MGe+AkNXTOKqdpYD8PN26HK3CAgIeSKPhx0EhDyxg1KEa9KdPAn3Q2oXNtrgfTFO1LPs4iXXCQKCgCAgCAgCgoAgkJcIPHBvNooWUfDNdy78siy09OfxRzxnhnPsmIHnXswIGd7fb1FQrao98uSRx0MFXVu10E09lXXrVZQoYaDjeRrOTkIy5fhxA2++k4FDh3MguKi3Dor2SqQ2AkKepPb65dXohTxxiHS6kyePPuGO+zTjmis11Moy4KQPh8sjzQUBQUAQEAQEAUFAEMhTBJjFceIEsGlz7Bok8QyUpTvx3uu89jou6Ond+P/vBxeWLA0d878e9oDZLYzt24FvvnNj1+6ckXbupOPyvhSqtad5YkWeWM372qs0ZNVMrqyOr75x4dcVkQmmeNZQ2uQ/AkKe5P8apMIIhDxxuErpTJ4wBZTER7yRlWWgamUjqvVdvP1LO0FAEBAEBAFBQBAQBJINgRbNDWS4DSxYlPuZt5mZwE0jNezfD1NDRCPXYADz5tu7d8lMA4MH6qhe3cBPE1XMtWjnI0+OnwBefNmN7JxEFFOM9dabPDG57Yz5xIU/10YnlkjKsBQoWeL78SoWLbHG1d+JKFnGK+OIDQEhT2LDq6BeLeSJw5VPZ/KE0Lz6ugt790X/gXMIozQXBAQBQUAQEAQEAUGgwCLAkhXdJk9w3dUa1m9QoLqA9m11UF8uOE6eAsZPcGH5r9Hf4UqWNPCPv2tYtVrBp58H6pnUqgkMGezB9z+6sHKlCsNCXOWG6zQ0rp9hO/OEjjnvf+TC1q2Rx5Zs5Em4jJkihYEH7/NjlArsU5zaExfyJLXXL69GL+SJQ6TTnTyZMVvFlKn2Ti8cQinNBQFBQBAQBAQBQcAPgaJFgBMnBRJBIBCBu+/QUKpU9HKWSJkSwZg++k8PXC7gl+UKfvzJhdOngQbn6LjsUh0fjXVhSwSi4+orNbRobJ884b3ffT9yn7zm6is9qJ2VHKsfLhvb7QJGDPeWqUukNgJCnqT2+uXV6IU8cYh0upMn02ao4H8SgoAgIAgIAoKAICAICAL5j0D5csDFF2moUFEHDAXFilmPafJUFTNn23uH89c18e/tdLaBJ5+xSG3566JixRTcd3c2zipRyHbmCZuO+9qF5b8FZp6QvCFJUaoU0Ke3hnpnJxch8errbuzdF4j1JX00tGqZXOPM/yc0NUcg5Elqrltej1rIE4eIpzt5Mne+gp8mhlrSOYRNmgsCgoAgIAgIAoKAICAIJAABZqEULaqgehUdHdrrKFvW2+mevcBb7wRqlDRrYuC3VQo82Tk3btNKR9+LrGuGsrMNPBGGPKlWxUDfizTTwrh0ZmzkycaNLN0J1NXr308Dx5essWMn8OXXbuzd6x1h6xY6Lu5rs9YqWScl4zqDgJAn8jDYQUDIEzsoRbgm3ckTyTxx+IBIc0FAEEgqBHhCW7IEsHNXUg1LBiMICAJpjABLO6AA1PrI7SiRqeCuv2fD9VfCyaHDChYvVUy3nKqVddSvBxw8CCxdTv0SBWXL6FEJi/dGu7BpU6g+SddOGrp28ZIdsZInbLNtu4LVaxTq25o2x/XPzm10EtM/s2N87kOJ6VF6SQYEhDxJhlVI/jEIeeJwjdKdPKEaOlXRJQQBQUAQSBcEHn/Eg7ffdWHbjuhCiukyZ5mHICAIFBwEWO4ysL8HU2e4zrjulC0D89+YJRJrHD0KPP9SqPti504GunfR4iZPYh2HXC8I5CYCQp7kJrrp07eQJw7XMt3JE8Iz7hsXllt42juETpoLAoKAIJDnCGTVBAYP8OC5F+O3Yc/zQcsNBQFBQBCIEQHqhhw6FNioTBng73+LL/3liWfcyPYr9WHPfS7U0ba1t2xl/94M7Nqjo2YND4oVF2I6xuWSy5MAASFPkmARUmAIQp44XKR0Jk8OHFCw7FcF6zYo2LxZfggdPirSXBAQBAQBQUAQEAQEgXxFwOeqE+sg1m9UMGasC9pfEh/MbrliqGYKvLKsx/89cdhgHefUFy2QWDGW6/MXASFP8hf/VLm7kCcOVypdyZP1G4HRY9zmj6KEICAICAKCgCAgCCQfAhTY/PpbKa1NvpVJ3hGFc9WxM2JdBw4cVFC8mIEiRbwtZs1RMWlKoKMP9UAGD9BMHZOSJeXwzQ62ck3+IyDkSf6vQSqMQMgTh6uUjuTJwYMK3hzlwonjDsGR5oKAICAICAKCgCAgCAgCSYFAk8YGBvT3apQkKqZMVzFjZng75PM6GLigR2LvmaixSz+CgD8CQp7I82AHASFPbKC0edtuPPjMu1j15yZUrVQOj997LZo1qmu2TDfyZN9e4H8/urBxo5wU2Hg05BJBQBAQBAQBQUAQEARSAoFunTV06ewspZi6J8wscf8lGzVjtoopU8OTJwTm9ls1lCvr7L4pAbAMMqUREPIkpZcvzwYv5IkNqEfc9hTOa30urhvWBzPmLcPTr47Fz5++gAy3Ky3Ik9PZBlasUHHsuILJUX4AbcAllwgCgoAgIAgIAoKAICAIJBECRQoDf789G8WK5hyOHT9u4KtvMrB2nZcQ6dIxx3o4eOjHjgEff+rC1u3e9rWyDFw5XDPbjXo/59+tpnzZpRqaNxXyJIkeBxmKBQJCnshjYQcBIU+ioLTvwGH0HnYP5v3wBtwub13xgJGP4r5bh6J1s3NSnjzZuk3B6DEunDpt53GRawQBQUAQEAQEAUFAEBAEUg0BEh116wQSGB+MdmHDpsBM436XaGjRLJTo+PRzF1atDry2Q3sdHTvoUF3Apo0Z2LpNx8w5oZnLN10fn0VyqmEs401tBIQ8Se31y6vRC3kSBemlK/7E4y+NxrcfPHnmyn88/ibatmiAgX27pDx58vYoF7b9dYqQVw+d3EcQEAQEAUFAEBAEBAFBIG8QaNjAwJCBobojjzweatneuqWOi/t4nXLmzlMxaaoKzYZkSe1aKkZepeG9McDadTkEytl1gRHD4rNHzht05C6CgBcBIU/kSbCDgJAnUVCau/g3vPLuOHz+9qNnrvzns6NQr051XDXwApzKTm0rtlv/YeMX0c6TJNcIAoKAICAICAKCgCAgCCQVAu3bKLhiUKgmyZZtBp59OfQdtlsnBZdfomLhUgOjP4ntHbdHFwWX9VWxdLmBHbuAyhUMtGgWWQ8lqcCSwRRoBFiCluFScdoT23OfaqAVzpDPpJM1E/IkCnq//PYnHnruPYwf8+yZK29/+FV0bNvEzDxJ9XjyRQ82bpY61FRfRxm/ICAICAKCgCAgCKQ/AlUrKyhaFFi73t67W41qCh65JzDDhKXad/0z27Jku1IFBU886Man4zRMnRXbJrJ6VQWP3huazZL+qyIzFAQEgYKCgJAnUVb6wKEj6DHobsz57jUUKVzIvLrPiPvxxL3XosW59bDvcGqLhWzZCrw7WsGpk14gKlYwcN2VBjZuUfDJ5+K4U1C+CGSegoAgIAgIAoJAKiCgKoBujzdIhenk+hjbtgL6X5oD2O+rgEnTFGzfEf7Wl/Y1sH8/MGtu6HtgtarA1m3WbVs2UzDo8tgIl1wHQG4gCNhEwKUCJYoVwsGjqb23izbdsiW9+1mJ+BAQ8sQGbtfd/TxaNqmPkcP74ufpC/HKqHGY8PFzpoBsOlgVezzA+g0KyA3VqGGYyumMdRsUzJipYus2FR6PvKnYeFTkEkFAEBAEBAFBQBBIEgRKlgAOH0mSweTDMAoVAq6/xoNKFb03X/OngrGfes0PIkW7NjoMA1iwKDC9n3geO46wGii3jDRQqbKUg0fDV/6enAiI5klyrkuyjUrIExsrsmPXPtz31NtYuXojqlepgKfuvx6N6meZLdOBPIkGwYGDCl5+NfqPbbR+5O+CgCAgCAgCgoAgIAjkBQLFiytwqUaBJE+6dtahqAbatzXMgzEKvvKgjOKvC4MIkUSsRe0sYOgABWedpWPJrwb+/BMwoKB2lo5zG8vhWyIwlj5yHwEhT3If43S4g5AnDlexIJAnhGjxEgXfjc8hUHynEjt2Kti8Rcp7HD5G0lwQEAQEAUFAEBAEBIGEIVAy00DLlgZ27lKw6o/ce08rcxZQrhyzWoBSJYFDhwOncGlfDS1bCIGSsIWVjnINASFPcg3atOpYyBOHy1lQyBPCdDobOLAfKFMGyMjIAY4/yhs3K5g3X9SbHT5O0lwQEAQEAUFAEBAEBIG0QaBoUQUP3JOdNvORiaQvAkKepO/aJnJmQp44RLMgkSfRoFq1WsGK3xQzPXTVH0KkRMNL/i4ICAKCgCAgCAgCgkAqIOByATVrGKZGni9KZBo4cjRyVov6/6+Djz3kSYUpyhgLOAJCnhTwB8Dm9IU8sQlUuMuEPLFGhj+uFCVjja2EICAICAKCgCAgCAgCgkDqIVAry0Cd2jratDZQpDCwaImKI0cARTHQpDHwyuuRNfFatTRwSR8RkU29lS94IxbypOCteTwzFvIkHtT82gh5Eh5Alvn8ukJBsaIKtm1XMGtO7tXcOlxGaS4ICAKCgCAgCAgCgkCBRoBui7176TB04NRpoHRpA82bRtYref0dN3bttIatUQMDAy/XwOwTCUEg2REQ8iTZVyg5xifkicN1EPLEPoATJ7uwYKEC1aWgbWsNM2fLr6l99ORKQUAQEAQEAUFAEOBGXNcFh1gQqJUF1KxpoFCGgexsYNqM0Pev8uW8RIfP1thu/8eOAVOnqdi0xYXyZXW0bashq6bd1nKdIJA8CAh5kjxrkcwjEfLE4eoIeRIfgLt2A6+/5Y6vsbQSBAQBQUAQEAQEgQKJQKEMr4B9skTRIoBHg0lKJFOUOctAVhZQoZyBDu0D2abHnnSHEFBt2+jo0zt+Vqp0ZiGcztZw/JSU6CTTcyBjsY+AkCf2sSrIVwp54nD1hTyJD0CeelidfMTXm7QSBAQBQUAQEAQEAUEg7xHo30/DDz+6cfp07tnxVq9mYMtW+6XPxYoB99zpAUVeg8MwgJdedeHQocD+rr1SQ1ZW/HMQ8iTvnz25Y2IREPIksXima29CnjhcWSFP4gNw5mwFk6dGFhmLr2dpJQgIAoKAICAICAIFCQFVAfT49/1xQXVOPQPNm+soXhz45lsV+/bbJzei3bBiBW9pUtmyOsqXU3DypGEKtdqJkiWArJoG3Bks0wEaNDBQq2YOOPMXqPjx59C+rrpCQ53aBk6ehOmayHnFEkKexIKWXJuMCAh5koyrknxjEvLE4ZoIeRIfgKdOAa++7saRozntz65rmCchu/dE7rNKJR37DqhgHxKCgCAgCAgCgoAgIAjkJQLVqhgmKVG1qo7PvnCbhEMiY+BlOkqVNjB6rCugHIiCrswcCY7y5YDbbvGYhMvEKSrmzgskR665SjMJlN17FLz2pvXBVf9LNfyy3IUNG729s+ynbl0Di5eoUF1Al446Op0fvqxHyJNEPgHSV34gIORJfqCeevcU8sThmgl5Ej+Ah48oWLhIMUmQkiWB8zvoWLZcwTffhc9IqVAeuHGkB/MXKpg0WTJX4kdfWgoCgoAgIAgIAoKAPwK1agJNztXQsoWBFStUbNkGzF9oL+MjHiRZVkNC4tcVzFzx9tDxPAM9u2v475su7NkTmM1C0dfjxxTs2Ztztww3wKyRGjW8rMojj4fqydFu+JorNUydoWK6hVisoiho3VLDwsWR53pRbx3t2lgTKEKexPMESJtkQkDIk2RajeQdi5AnDtdGyBOHAFo0nzJNxYxZ3h/wzEwFR496XwioAD9ssAelS3sbjfrQhc2bE5cmm/iZSI+CgCAgCAgCgoAgkCoIVK9uoE4tAy4VOP883dQMsSIjEjmfxx/xmN0xo4SZJb6we98rh2uoW8c4k5Hy6BPWYvwDLtOwdz/Jk9D3JpIvJFa2bIn8TlWtmo4brhXyJJHrL30lDwJCniTPWiTzSIQ8cbg6Qp44BNBG8+xsw0xFLVw48Eed/zZrjoLjx1X8tlIJKAGy0a1cIggIAoKAICAICAJpjADJD+p3xBM8sLn5Bg++/NplvmPkVvjIE/a/abOCP/5QTPceZoFYlehYjcPfvjlcaU/XzjqoDTNlemB2yVlnAXfe5sE337vwyy+R50n3nmuv9JI9wSGZJ7n1hEi/eYWAkCd5hXRq30fIE4frJ+SJQwAT1Jz1xkytpWBcZjHghwm5l2aboCFLN4KAICAICAKCgCCQSwiQRHjsIQ+mTHdh5qz4yI/ePXXT5tduFkisU2nU0MDgARqW/qLgwEHlTNZtrP3Yub53Lw0bNqpYvSYQCxIv7dvqyMwEJk6OTNj0v1RHs6aSeWIHb7km9RAQ8iT11iw/RizkiUPUhTxxCGAuNN+8VcGo90UPJReglS4FAUFAEBAEBIGUQKBzJwPdu2g4cQJ44RU3sk/HPmxma7RoZpjWvnazQKzuUrKEgVYtdZQuBaxcpeDoEQV16hro0ZWCsy78/kd85I7dGVWramDktZpZ7hypNOfSvhqoR8di6do1DWzcwvG6kOEy0KqFjhbNw1saSeaJ3dWQ65IVASFPknVlkmtcQp44XA8hTxwCmAvNDx8BXnjZuuY3F24nXQoCgoAgIAgIAoJAkiFw280elC/vHdSu3cCkqW6sWRPbICmyOnuuC3+uja1d8NUUxWdpzHfjXVj+q4KiRRVc2MuD+vUMPPVc7r+vdOuio0snHTNmKZgyLfzhUru2Oi66ILyjTiQUhDxx9oxI6/xHQMiT/F+DVBiBkCcOV0nIE4cA5lLzTz9XsWp1TulOxQrelycJQUAQEAQEAUFAEEhvBLp30VG7toG164CzSgPNmhrYvJlC8/aJiuLFgVYtDcyYmZisEDrlbNoU2NeFF+iY8HPulxnffqsH5cp61/y7H1Qs+cW6PIc40bI4nhDyJB7UpE0yISDkSTKtRvKORcgTh2sj5IlDAHOx+S/LFBw8pKJwYcOs52Ut75x5OS8pRQoD5SsYUdXlc3GI0rUgIAgIAoKAICAIJBiB0qUMHDyUQ1TQxvf6qzW8854LW7clhgxJxJA5LpbRxFsSVKmSAU+2gqLFDFSvZpiCsG63gpmzFVNoX1UVDLzcg0YNQsttPhjtwoYgMqd3Tw0d2ocvzYk0ZyFPEvFESB/5iYCQJ/mJfurcW8gTh2sl5IlDAPO4+Y4dwB9rVNMOsE0rDcWKKWat8eo1Kki2SAgCgoAgIAgIAoJA+iFAYqBtGwMfjnGZrjbpEO3b6biwl3WZzelTBgoFuRT6z/nIEQOfj3Nj819YUNul3yXxZZ2wXyFP0uGJKthzEPKkYK+/3dkLeWIXqTDXCXniEMAkav7LcgXffpcjCteujQ63G5g9N/dTapMIBhmKICAICAKCgCCQdghQ/JX/LVikYnyaOPJ176qjc8f4NEoSvcBCniQaUekvrxEQ8iSvEU/N+wl54nDdhDxxCGCSNfd4gD17gNJnGShaxHsyNWmyC7PmpscpVZLBLcMRBAQBQUAQEATyBIGL++ho3dJLNDz+tBv8vU/lYMnPdVdpZiZtMoSQJ8mwCjIGJwgIeeIEvYLTVsgTh2st5IlDAFOg+boNCkaPEevjFFgqGaIgIAgIAoJAiiLgcgFamKqR0qWB7Gzg2LH4JlerloFrRng7pxbIY0/aF46N747OWpEQsdJBuXK4Bk1TULKEhsqVk4Q1+WuqQp44W3Npnf8ICHmS/2uQCiMQ8sThKgl54hDAFGiu6cDzL7px4kQKDFaGKAgIAoKAICAIpCACZc4CihU3sHVrKClQraqBzEwDf/i56NmdYq0sA7Qc9oVd8qRCBWB3Hrn0deuqYctmFYcOK6hTR0fXTjr+81oGjh/PEW+tVs3ADdfGr0liF694rxPyJF7kpF2yICDkSbKsRHKPQ8gTh+sj5IlDAFOkOdX5x/+oYtsOxUyRjVcZP0WmK8MUBAQBQUAQEATyHAH+vmYWB44cDbx1rSxA02k3HHu2xYD+Gpo0DnSQefQJd9Tf8ebNjDwTkr//Hx4UKxY450OHgcVLVBw7ZiCzhILO5+tgdk6yhpAnyboyMi67CAh5Yhepgn2dkCcO11/IE4cApmDzSXEvJAAAIABJREFUqTNcmD4j9he4FJyqDFkQEAQEAUFAEMhTBJo1MbB7D7B9h/d3tlRJw8zI8A9VBXp117F5i9cxL1LUrmXg6r9KdnzXRdM8OaeegT/W5M3vPIXpH3kwugDLylUKdu9WQHviBvXjsxPOzYUU8iQ30ZW+8wIBIU/yAuXUv4eQJw7XUMgThwCmYPNTp4B33nNjz96cwV92iYb9B1SczjawdKmKU6dTcGIyZEFAEBAEBAFBIJ8RoNPdRb11ZHtgZnrOnK1i+oxQ17uH789GRiHF1C9hKU6kYFlMl445hMPPk1TMmWftpMd73nyDB2+8nfu6KLzXiGEa6taJTIZ89LELa9flkDn16xkYPiS5SniEPMnnD47c3jECQp44hrBAdCDkicNlFvLEIYAp2pyidouXqjhxHGjSxECZs3JefHbuBCZP877oRHuhS9Hpy7AFAUFAEBAEBIFcQeDii3S0bpXDhkyeqpoESnA8cK8HRYsAkYgQ/zb33uVBZmbOv1hln7B0ZshADVk1DXww2oUNmwKzTxJRtss+Lu2rwZ0B1K2to1ixyBkua/4Exn4aSuTcfKMHlSvmyhLE1amQJ3HBJo2SCAEhT5JoMZJ4KEKeOFwcIU8cApjmzdevBz4cm/unV3ZgrFXTwKWXaNi2TcWXX1ufuNnpJyMDcLuARg119Oqp4+nnkmN+dsYu1wgCgoAgIAgkLwLVqxkYGSSK+szzbpw4GTjmjELAw/fnlLrMmqNi5e8Kjh4BDh+1JiMGD9Rwdl0Dc+a6cPKkgfkL1RDdk7JlgTtu9fZ7/Djw5dcurFvv1Tqj3kiwvXFWlgGW+Mydq1jet0M7A03P1bBlu4q9e4BChYDGDXVUqmR/DZh1M9Ui86Z/Pw0scUqWEPIkWVZCxhEvAkKexItcwWon5InD9RbyxCGAad6cp1Y8vcrveOh+j/nS5ovVa1SM+0bFyVOxjax4cWDEUA+qVMlpN36CCwsW5U1teGyjlasFAUFAEBAE8gKBkiWAw0fs3Ym/IyQmGMHi6yTmH/lnoP7HE0+7zRIe/yhfDrjtlsB/3LRZwXsfhv+9vfsODz7+zI2du8KPs0UzA/0u8ZbDHD5s4OPPM7BjR/jre3bX0fE8Hd+NV01xV//IygKuvTK6lkk01LZsUfDuB6HzuuNvHpQtE6113v1dyJO8w1rulDsICHmSO7imW69CnjhcUSFPHAKY5s0pcvfif/KfPKFVY/9+uim854slSxX874foY+NpW7+LNVSoYKBiRUC14EnmzlPx06T4s1nS/DGQ6QkCgoAgkLYIdO6ko1tnHYuWqPjhx+i/A21b6+hzoY5333Njy7ZQWB5/JJBw+HmiijnzA/utWsWApivgL1qzc3Wc117Hjz+rmL/A+v7Nm+mg3fH348P/5pUrC1x1hQelSnnH9NkXrqhitF076+B/JFpGj804o4VWIlPBFcOyUTmGDJNID0gwOdOhvY7ePaMIveTxEyfkSR4DLrdLOAJCniQc0rTsUMgTh8sq5IlDAAtA88+/cpnpxP5xXnsDJTIN7NgJLF8R/WUzETBVqWzgppGBAnOPPB5acsOa7/ZtdLRqqePQIZiEiZU9InVfvv/RZVo5MquFQroSgoAgIAgIAumFAAnzChUQNmPDRyAwi+S/b7qx109M3QqJQQM0NG5ogKU2k6YE/v41a2qg/6WhQqg/TFCxaLH32rJlDOzdF/ib2r2rhn37VSxbHsru8zft+ms0TJ6q4PdVob+3nc7X0fAcPSCjkvex+n0Mns8VQz2od3bOv27dpkDzADVqGGapTyLj0CEFW7YqqF6dByGJ7DkxfQl5khgcpZf8Q0DIk/zDPpXuLOSJw9US8sQhgAWk+a8rFOzbr5g5yuecYwScRn30sRtr1+UNEI8+5MHatQrWb1KgQsFvK1UcOmxdM92ooYHy5Qwz44Qvuv6RfRoY85kbGzfmzbjlLoKAICAICAJ5i0CrFjqaNjFQs4aBdRsUjB5jnbXRu5eODu28WRAsBaWmyNFjMMVZ27fVMOEn1TwkKFJEQe+eHrRonvN7MmGSC/Pne1mGJo0NXHapBtoQRwq64ASX3pDA79JJw8TJ0bMp/fsmwXH/PV7h2eB46RUXDh4Kz4B06migR9fkcrzJ2yck8G5CnuQn+nLvRCAg5EkiUEz/PoQ8cbjGQp44BFCam3aIkWqwEwnRoMt1fDEu8M30rNLAwUOhtef+9+3a2UDXzjkviaPHekX0JJwhkAjnBmcjkNaCgCBQ0BEomWmEiJ0O6K+jSePAshASKBQvpbaILypV9Nr6JjrLItKavPamG7v3hF7x0ANeTZMNG+ytKN1uhg3WULe29QHCn2sVjPkkkIy55koNFSsYKFzYOiPT3p3T8yohT9JzXQvSrIQ8KUirHf9chTyJHzuzpZAnDgEs4M1PZwNPPpM3bjU8RdywUcW+/fGBThE9iukxNfvRJ/JmzPGNVFoJAoKAICAIREKgdi0Dbjdwdh0DbdvoplbHipUk1hXU+L/27gNKiipx+/Bb3TPAgIIJBRQRyYsgEkUFjKsumFBERFkTKgZc14QioiiuukZW/YuCihkUcxYVMIAJAQkOCBIUFCVIGmB6ur7vVjPDRKZDdVf31K/O4ZzdnbrpuT2z3W/fune/AjVtUnHpL6cHnNNvzOauZq8RU08qr8lTLX0yuewKk5YtbPXpXSAT7i9bXnm4bwKfs/uG1aJ5xXuHmMdkFi6K1NWyWdlHe1I57nRvi/Ak3WeI/lUmQHhSmRA/NwKEJwm+DghPEgT0eXGzb8htI5P3znP33aWWzcPacy+pc4ewE9SYwCbea/DlIf0wJ6BPyzk2Md46M6GcWUYeTqO9+czxmOaUBbPpLxcCCCBQXMCsJtxn77ByF0YelTnpHyEn9F68xIQjtrPSwjyWmcnXgw9naU05XwSYzWY3bpTuuT/6/18dOiSk6sVOo8tkFy/7TnjipT5tuyFAeOKGYtWvg/AkwTkmPEkQkOJ66eVAuZvYxUJjlhCbDVvNh/xaNS1t2GircSNbJ/cscIKT3AWRk3XMm8pELnPE5KZNidSQmWWN72515CwVL320ZukR1a8vtWpZoM8+Dyr//68sysq2dFT3Am3LtzRlqjthx5E9zDfFlubOdae+zJwVeo0AAsUFzEqKIw6zddwxVX8fjgkTg5pT6u+fGf9twyIn9VT0aE95r5h+ZxaoVcvMDpPS4TeB8CQdZoE+JCJAeJKInn/KEp4kONeEJwkCUtwRmPp5QJM+KbkXSddDw1q+3JLZvb+8yyy17tQhLNu2tc/eFX+I/nWFpdFjYttEj2kpX6BG9ciGiKUvc3KSCalaNrNljpAsvEx4kp294+5EV/6YmkxAduWgkB56JPpvVplPBBDIfIHepxbo1dcr/1tuNl095OCqHQYs/El69oWSfwO7HR7WccdE/v7+td6SOd534UJLe+xp65A2trO32NxyTtu58rKQ6u6V+a8Pr0dAeOL1DNB+ogKEJ4kK+qM84UmC80x4kiAgxYsEzAasc+dJBeGAmh4YVpuDbK1dZ+mll4NaubIkVDAgXXxRqMSpPRVRfjIl4GzyV/rau25kJQVX4gKFR3VWVtPYp7O0dFlld+385+bb1R7dw+XOaWI1UxoBBNJVwBzPe9UVBXpyXFBLlu58xZnZh+T449LoOcMkoZoAZebsoLPqsnDvlsKmXn8rqBnf73Dq3y+kFs2k0U8E9evKHf+72fvlvHOr/kqdJE1BiWoJT1KhTBvJFCA8SaZu1amb8CTBuSQ8SRCQ4lEJmP02zAkHS5YGZMt2vlXcfbfovlk0+5OUt0dJp45hffNtJWdCRtU7qWZNOY+omH+ZcjWoL5mVJItLHbdsNkE0+wHM+qH8DygHNLJLfHipW1e65MKQzFGZlV1PPRPUz0uie9Rmtzr2To/JrKwtfp4cgZwcKS8vUncspyWZsHLNWikUeaqAC4GoBapVs3TR+fkyJ9ts3WrrnfeyNHuOpdq7lv83wu9H6M770dJLE8qu0Bl+c0jmr+/n0wLO7+EutaTOHat+yBT1Cy3BGwlPEgSkuOcChCeeT0FGdIDwpNg0rVm3QUNGjtZvf6zVm0+PLPrJsl9X6ab/PKH5C5dq33p7acT1F6hd66bOzwlPMuJ17utOmn1OHng4S/nbdjCYUwl6nxrSiy9V089LowthKkI0xz2e069A4QJbzzxfchl12za2ZlcQQhTWl5Nj6bijQ7JladLHQW3ZGjnRJ5lXw32lgRdGPsWax6XMY1Pm2mUXqU/vkBofENnbZNSjWVq9ekdPsqtJ112drw0bLOd5+5o5ljp2CCtY+Up6p5JZPwQ08bXKA6vsapb6nxXS8y9G9k3hSi8BE6D16xvSV18FZVZ2RXN1ah82B5nom++iu7/hfrbzyF6yfxei6Tv3JF/A/A05uK1dYrVE8VYH9A+VewLOxNeDmjV7RyBrAr1LzarE+snvc7q2UNEXBlcMCsmEmFzJESA8SY4rtaZOgPAkddaZ3BLhyfbZ27R5i/oNGqEeXdtpyvRZJcKTc68cqcM7tdGFZ/fUlGkzdeeo5/TBi/cqOytIeJLJr34f9d0cQ/ntdwFt2CjV28dWt8Nt51vzenvk6KkXtmna19GthiiP7JKLCrRvg0ja8csKSz/OtxS2pUb7yzkC0qyYMY8kzZgZ0Pr1ZWsYNLDsG31zNOTceQEnpDBLs928zJ4h5w8IOf0rfpkPqcak+LVunaUPJgWUm2upUSNbxx4dLhprvH0yK1p+mBvU77+Z5/LL1mI+RDU50NaGjVaZx7XibZNyyREwc2VOzCp9NT7ALrPC6ITjws6RsONfCejH3IoDFHPsK6tTkjNfbtTaqmVYi38OOI+KuHWZVWZDr8lWXmiLKlo1sbNHA6d9FXBC3urVLbVuVaAGDdzqWWbW88W0gD74qOzv2E03hJzVhlzJESA8SY4rtaZOgPAkddaZ3BLhyfbZ25y3RX+u+cv5d+t944rCk9Vr1+uEs6/TtLcfVdb2r5fPGDhcN1zeT53atSQ8yeRXP313wpPf1+Rp4htBzZwVSQ7MUvD1GyL/uVYtS5s2VbwM5JReBerQPrplIm++HdS3pY7WNd+uD7xg58+bv/VuoOjxopwacj4YLFq8Y/LM8/3mUYrSG+4Wn94zzwhr3brIB92O7QuccXl9Tfo4oKlfRLcKweu+0n5sAoMvC+nVN4JFmz2bzSjNppSFV0XfjMfWCnenWiCy35CtrVtsmcCivMusHim+EqTwnsJgtryVRLfcGFLDejlauTrPOX7XHMNb+orlb22qXdKtPWM8ekyWVhTbK6z138LqewaP6CRzrghPkqlL3akQIDxJhXLmt0F4UmoOZ/ywoER4MuOHhRpx/zi9/tQdRXdeO+L/1KV9K/XpdSThSeb/Dvh6BCY8WbU2z1kpUvz6c3VkFcaee0jvfRjQtOmRDwrm+OPmzcM6pF1YNapbzskv0V6/r5LGPJmlrdsfHzJlzUZ95hGIyq78fFvbtpm9VSynX7kLLa1YYalpE1smgDGXCUby8myt+jOgV18Lav2GyEk3Z/QuUKsWlbdRWR/c/vnnXwb04aQYAN3uAPUlTcAcTf3tDLPSa0dIZx7bOalX5MPbnHkBTXiFuU/aBHhYcfcjbC3/RSVWHlWvJl09OKTp3wQ1eUrZ4Pb2W0Kqt2ckPDHXC+OD+jF3x3377y9ddB6b5cQyrSZAMStQzGOPZrNd8wgpV3IFCE+S60vtyRcgPEm+cVVowVfhiVlFsnJVsQ0Mts+g2cdk9zq7Ov+tdHjy5bdz9NATEzV+9PCi+R561xg1b9JQ/+xzvDZt4Q1NVfhF8OsYalbPUt5Ws99Iaq7NeWazPlth29JhnaTatZPXbnmP4SSvtehrnvqF9MY7tkIZdMCDCaxat7K0eo3011/S5rxUvWKid82EOwcPMnvl2Jr7o6XfV2GYCXMWax9P6WnpqG7Sh5/Yzu9KzRypS2ep7p6WNm+W7nnInKK2o9azTpe6drZUs0aWNhd7P/H9bFu/rbKcTU27dY21F9yPQOoFqmcHVBA2/9/G37bU69OiGwIBS6qeHVTetgx6gxbHwGvVKLu6MY5qfFvEV+HJZ1/N1uvvf15mss88+Sh1OaRVueHJ93MW6ua7x+qdZ+8qKjd42Ch169LWWXny1yZ2c/Ttb08VGHjtWtnasDmfTSlTNJez59ga94L3jwzFOtzuh0un9IyUWviTrceeLDmG4o93tT1IWvyztHFTrK1Unfsr2gul6oyQkVQk8PdjpOOPqdjHhKZTPpMTnjZvImdzavPbZP4W836C11UmC+RUz1JBQVjbQjwelcnz6Oe+BwKWTLBg3hdX5atOreyqPLykj81X4Uk0mqVXnqz9a4OOPfMaffHmw6ph1t5K6nnuEN1+/QVq36Y5j+1Eg8o9aStQ0WM7advhDO/YpE+Cmvp55oUnZuXJbcN2rLL7aZE0c3bQObLXPDrVtUu4KIAz93462dKnU6M8gqjYnNapXf4muuky7XvsHjlumAuBigSOOTqsHkfE9uHR/EUo/tgOughkogCP7WTirNHn4gI8tsPrIRoBwpNSSqXDE/PjC6+5Rx3attDA/r30weSv9dCYiXrv+budDWQ5qjialxn3pKsA4UlqZ+bjyUFNmVp+eGJChw6H2CU21d1v38hxtbFe5kQJs4/NQa1t1akdOfp56VJLPy8tv64G9W0dcVhYEyZWHHiMuCW2RxTNaRdfTg9UmVVNTZtI5rhYs4fCsmWWatWK7Af085LK58fMrbnfHBvOlZkC9epJv/22877X3sXWVVcWOHstxXIRnsSixb3pKkB4kq4zQ7+iFSA8iVbK3/cRnmyf/0mffSezEax5p58fMm9+stS4YT299uQdWvn7at0wcrTm5i5RwwZ7a+SQi9S6xQFOScITf/8CZfroCU9SO4PmONGHHzNLm8u22/vUArVrayt/m7RmXWSz3g0bpLHjsoqOeM6uJnXtYmvxYlUYqpiVIAP6l23g+1mWXnujZDhiNu295aZQ0ca/t4wo/znY5s3COqdfbN+mmxG+OCGg+T9m1saol18a0vz5ln5dEZA5NnjPPaXadWx17rBj/HPmmp9bMo/nHHigrQULLCcoqugy4cmhncMVntCS2lchrcUqYELMiy8scE5QKjyVrN4+Up/TQ5o339KmzZZzTPChncxJXrHWHnlsh5UnsbtRIr0ECE/Saz7oTewChCexm/mxBOFJgrNOeJIgIMU9FSA8ST3/H39Ks2YHNGNmoGglQscOYZ3cs/xwIhSSvp8ZUH5I6nhIWNWqOxmv82HdnCg0d17A+fDVuWNYbdtGVppUdD33QpYW/LTjp2f3Datlix3tPjkuqCWlVqe0aG7rzN4FMsFNrNfM2ZZefT32x3dibcfN+4cNCe10rOYED7OqpvByjq/tFtbkqRWHJ9tPuS83NHOz79TlnsABB9hqtL+t7Cyp2+Fh55SvwsvtzagJT9ybN2ryToDwxDt7WnZHgPDEHceqXgvhSYIzTHiSICDFPRUgPPGUX1u2yvlwVvjhOhW9Wf2npT/XSI0a2TKP9xS/1q+3NeHVLOexFHMdfWRYR3aPfcVJ8Tq/+S6gT6cElL/NUvv2BWrXJqwlyyxt2WKpSRNbubkBffbFzh992a2OrXV/VXzPhecEtXj5Nn06JfqgZr/9bP3yS9k6b715x0qc8ubj1juyFC5FYvZ82beBrTffCTpHanNltsAZvcNqe1Bir/tYBAhPYtHi3nQVIDxJ15mhX9EKEJ5EK+Xv+whPEpx/wpMEASnuqQDhiaf8NC45j7+MHlM29DCPP7RuFXaOs+56aIH+WGUpd2FAP+YGtHL73hPm0YlTTwyq4yEBLf8jT08/m6WlSyOsu+5i6+ReYcmy9fyLJR9Hql3b1pWDQnpkdJbWrdsRoHQ91NaJf9/5EYXlPdpkHrcyj10VXlu3SuNfCeqnRZXvh8KLIL0E+p9VILPaKpUX4UkqtWkrWQKEJ8mSpd5UCRCepEo6s9shPElw/ghPEgSkuKcChCee8tP4doGlyyzNnB1wTu8xm9c2PsCW2Wei+KMSxbG2bJETitSobqnBnjnOjwr/FpsVKlu22NpnbxWVX7BQev2tLOcxqfr1pVNPCql+PTkrf6ZNs2QroL32DKttm8o/NI99OktLl5WcumOPCav74SVXKnw4KajPvyQ8SfWL3Gzsu2hx5NG20tf+DaVly3feo2OPDqt7jKflJDpGwpNEBSmfDgKEJ+kwC/QhEQHCk0T0/FOW8CTBuSY8SRCQ4p4KEJ54yk/jLgiUDk9cqHKnVZijiie8EtSKlZFgpHUrW337lF2t8tHHwUofR0p2X/1W/+mnhXVwm7DWrLU0a3ZkfsymyHZYat06rLp7mSO2Lb3xVrDC/WeO6mHrqB47X33ktivhidui1OeFAOGJF+q06aYA4YmbmlW3LsKTBOeW8CRBQIp7KkB44ik/jbsgkOrwpLDLZt8TszKmotUx5gjjp56Jfg8WFyh8W0XtXW2ddmqBmjSOnsDM320js8qsUOl5QlhdOqduvxPTY8KT6OeNO9NXgPAkfeeGnkUnQHgSnZPf7yI8SfAVQHiSICDFPRUgPPGUn8ZdEPAqPImm64sWW5r2dVDr/5KaNgkrELA09fP0f5SnWra0LT+aEcZ+j9lYt1kzW5Ysbc6ztXGDpbnzd5hUqxYJE7Zu33jXbOzbrIkts+LHnFJV/GrRPKzTTg6rZs3Y+2FK5OZaen78joDLPC52/oDUrjohPIlv7iiVfgKEJ+k3J/QoNgHCk9i8/Ho34UmCM094kiAgxT0VIDzxlJ/GXRBI5/Ck9PAWLLT03IvpuxrlqB5hmX/vfRjQtOkVH71sxtW8mTlhSMrLs7R5s7THnrZWrAjI7C9T0dW0ie3sN1O7dskA6ccFAa1YGQlNOrYPq9Yu0vJllnJq2tq7bqQ2s4fJSxMCmp8b6VfjRrb6nRVy9r1J5DKb+5qQq25d23msx4uLlSdeqNOm2wKEJ26LUl+qBQhPUi2eme0RniQ4b4QnCQJS3FMBwhNP+WncBYFMCk/McGfOsvTWO0Hlh6RG+9tatcpSntkANw2uiy8q0H4NbOVtsTXu2Wwn0DBXzZqWtuXbCm1fjdKsqXTu2aFye2xOGFq+XLICZm2Jrb+1slV3ewDi1hBNkFLR41JutZHKeghPUqlNW8kSIDxJliz1pkqA8CRV0pndDuFJgvNHeJIgIMU9FSA88ZSfxl0QyLTwpKIhL/rZnPwT1IKfyq6k2Le+rf79CjRjZkBTPzebndrq3DGsaV+VXR1iVneYfx99HCjaFLXdwbbM4zIbNkgbN1nadVdbps7xr2Q5dZnr5F4F6ti+5BE15kjobdss7d8w8r+vWyfl1JRqVHdh4qiiSIDwhBdDVRAgPKkKs+jvMRCe+Hv+ox094Um0UhXcR3iSICDFPRUgPPGUn8ZdEKgq4UkhhXmE5IXxQeXnS8Gg1PeMsFq2KH8D01GPBPXn6pJhS+GGp2Z1xqZNtnJyLKeeii5zXLPZ48ScSsPljQDhiTfutOquAOGJu57UlnoBwpPUm2dii4QnCc4a4UmCgBT3VIDwxFN+GndBoKqFJ4UkYVsKVLKdx8qV0oSJWVq9JlLq4Da2Tj8t9RueujCNvq6C8MTX019lBk94UmWm0rcDITzx7dTHNHDCk5i4yt5MeJIgIMU9FSA88ZSfxl0QqKrhSSw0hatUWD0Si1r63Et4kj5zQU/iFyA8id+OkukhQHiSHvOQ7r0gPElwhghPEgSkuKcChCee8tO4CwKEJy4gUoWnAoQnnvLTuEsChCcuQVKNZwKEJ57RZ1TDhCcJThfhSYKAFPdUgPDEU34ad0GA8MQFRKrwVIDwxFN+GndJgPDEJUiq8UyA8MQz+oxqmPAkwekiPEkQkOKeChCeeMpP4y4IEJ64gEgVngoQnnjKT+MuCRCeuARJNZ4JEJ54Rp9RDROeJDhdhCcJAlLcUwHCE0/5adwFAcITFxCpwlMBwhNP+WncJQHCE5cgqcYzAcITz+gzqmHCkwSni/AkQUCKeypAeOIpP427IEB44gIiVXgqQHjiKT+NuyRAeOISJNV4JkB44hl9RjVMeJLgdBGeJAhIcU8FCE885adxFwQIT1xApApPBQhPPOWncZcECE9cgqQazwQITzyjz6iGCU8SnC7CkwQBKe6pAOGJp/w07oIA4YkLiFThqQDhiaf8NO6SAOGJS5BU45kA4Yln9BnVMOFJgtNFeJIgIMU9FSA88ZSfxl0QIDxxAZEqPBUgPPGUn8ZdEiA8cQmSajwTIDzxjD6jGiY8SXC6CE8SBKS4pwKEJ57y07gLAoQnLiBShacChCee8tO4SwKEJy5BUo1nAoQnntFnVMOEJwlOF+FJgoAU91SA8MRTfhp3QYDwxAVEqvBUgPDEU34ad0mA8MQlSKrxTIDwxDP6jGqY8CTB6SI8SRCQ4p4KEJ54yk/jLgjU3yNHliXxt9gFTKrwRIDwxBN2GnVZgPDEZVCqS7kA4UnKyTOyQcKTjJw2Oo0AAggggAACCCCAAAIIIIAAAqkSIDxJlTTtIIAAAggggAACCCCAAAIIIIBARgoQnmTktNFpBBBAAAEEEEAAAQQQQAABBBBIlQDhSaqkaQcBBBBAAAEEEEAAAQQQQAABBDJSgPAkI6eNTiOQuMD8hUt19fBHdETnNrr5X+cWVfjZV7N156jn9MfqdTq4dVPdPfQS7bVHncQbpAYEXBZ44vm3NW7CBwoVFOgfxxyqoYPPUTAYcLkVqkPAXYE16zZoyMjR+u2PtXrz6ZFFlW/Zuk3D//uUPv3ye+XUqK4rLjhNfXod6W7j1IaACwKLlvyqW+8bp9xFy5z3B9cOOktHH36IUzPvIVwApoqkC4TDtu57bLze/PALFYRJm3O6AAAOKUlEQVTD6ta5rYZfc55q5lTXsl9X6ab/PCHzPnnfentpxPUXqF3rpknvEw1khgDhSWbME71EwFWB7+cs1B0PPqumjffVrrVqFoUn6zdu1gn9rtO9wwepU7tWevDxl7Vy1Wrdf+vlrrZPZQgkKjD9u3m6+Z6xGvfQjaqzay0NGvKA/nFMF/U79ZhEq6Y8AkkT2LR5i/oNGqEeXdtpyvRZJcKTUWMnav7CZbpv+CD9/sda/fOq/2js/derWeP9ktYfKkYgHoFTzh+qM3r2UP/ex+mLb+bo37c+rKmv/U/5oRDvIeIBpUzKBV5+e7Imvj1Fj919jbKzs3TZjQ/o0A5/06ABp+jcK0fq8E5tdOHZPTVl2kznC8UPXrxX2VnBlPeTBtNPgPAk/eaEHiGQdIFlv/7ufFv0zMsf6s81fxWFJ+9/+rVefXeqHv/vtU4fNmzcrB69r9L0tx9VtWrZSe8XDSAQrcCIB55R/b330MD+vZwi5tt6swrl6QeHRFsF9yGQcoHNeVucv7nmn/nmvvjKk5MG3Kg7hlykg//WxOnXPY+8qF1q5eiy805NeT9pEIGKBMxKv9fe+0ynndhNWcHIh8kuPQfp5cdv07wFS3gPwUsnIwRmzVuk6tWy1bLp/k5/x7zwjhYtWaFrB/XVCWdfp2lvP1r0+j5j4HDdcHk/dWrXMiPGRieTK0B4klxfakcgrQUee+bNEuHJ6Gff0uq1f+mmwecU9duEJ8+MukmN9tsnrcdC5/wlcOE19+isU47Wcd07OgP/edlKnX/13Zo88UF/QTDajBSY8cOCMuHJwcdcqKmvjVKd2rWcMU1481N9OytX9wy7NCPHSKf9IfDD/MW66pb/adL4+2UepeQ9hD/mvSqN8tff/tRVw/6ni87uqb332l0j7h+n15+6o2iI1474P3Vp34rHKKvSpCcwFsKTBPAoikA6C5hnNtdv3FSmi80b71e0iqR0ePLgE684+0dce2nfonLHnXWtRt1+pVo1a5TOw6VvPhPof/kduuTck9T90IOdka/47U+desHN+vrdx3wmwXAzUaB0eJIfKlC7Yy/Ut+8/rpwa1Zwhvf7+55o09Ts9fOdVmThE+uwDgV9W/qGLr7tXw/41QF07thbvIXww6VVsiH0vuU1zcn92vowZetW5mj5jrh56YqLGjx5eNNKhd41R8yYN9c8+x1ex0TOceAQIT+JRowwCGSDw9Pj39cOPi8v09MYr+xdtAFs6PHn8ube08vfVzqZZhVfXXpfppceGs/IkA+bcT1286Nr/qveJ3Z19TsyVu2i5Lrn+Plae+OlFkMFjrWjlyccv31/09/m5iR9p9rxFrDzJ4Hmuyl03f3PNt/VDrjhbRx7Wzhkq7yGq8oxX3bGtXrtedz38vOrsuot6Hnuobr57rN559q6iAQ8eNkrdurRl5UnVfQnENDLCk5i4uBmBqiVQOjz5cMq3ev7Vj5xNOM1lTtw54ezrnT1PzIZaXAiki8DIh57VbrV30eXnn+Z06d2Pv9LEd6Y4G2xyIZDuAuWFJ2YTzqGDz1XnQyLP1d9239Pap+4eunTAyek+HPrnM4HlK1Zp4LX36s4bB6p9m2ZFo+c9hM9eCBk8XHMq1L716+rA/es7o/hm5o+69b6n9dzDQ3XsmdfoizcfVo3qkVWAPc8dotuvv0Dt2zTP4BHTdbcECE/ckqQeBDJQoHR4Yk6CMBtl3X3zJep0cEvd9fAL2rg5zzmumAuBdBIwHz6vv/0xZz+eWrVydPG19+rMk4/S6T27p1M36QsC5QqUF56YPae+n7NA9996hczjEOdffZee+99QNd7+5h5KBNJF4Lx/3aW+Jx+lE4+OrPwrvHgPkS4zRD8qE3jg8Zc1b8FSPXDb5c7GsXc89KxzSII5XdLsqdahbQtnQ/oPJn+th8ZM1HvP3120gWxldfPzqi1AeFK155fRIVCugAlFXnrjE4XDYdm2rWAwqD69emx/3nOebrtvnP5YvVYdTYBy08Xarc4uSCKQdgLjXv5AY55/W2a/iFNPOMLZDd+yrLTrJx1CoFBg0mffyWw+KNt2XrdmRV/jhvX02pN3KD8/5Hzz+dHUb1Uzp4auvriPTjn+cPAQSCsBE+wd3++6MqtR771lkI7t1kHTZ/AeIq0mjM6UK7Bl6zbd8eCzmvzlTIXtsA45qJmG//s87b3Xbs7j6zeMHK25uUvUsMHeGjnkIrVucQCSCDgChCe8EBBAAAEEEEAAAQQQQAABBBBAAIGdCBCe8PJAAAEEEEAAAQQQQAABBBBAAAEECE94DSCAAAIIIIAAAggggAACCCCAAALxCbDyJD43SiGAAAIIIIAAAggggAACCCCAgE8ECE98MtEMEwEEEEAAAQQQQAABBBBAAAEE4hMgPInPjVIIIIAAAggggAACCCCAAAIIIOATAcITn0w0w0QAAQQQQAABBBBAAAEEEEAAgfgECE/ic6MUAggggAACCCCAAAIIIIAAAgj4RIDwxCcTzTARQAABBBBAAAEEEEAAAQQQQCA+AcKT+NwohQACCCCAAAIIIIAAAggggAACPhEgPPHJRDNMBBBAAAEEEEAAAQQQQAABBBCIT4DwJD43SiGAAAIIIIAAAggggAACCCCAgE8ECE98MtEMEwEEEEAAAQQQQAABBBBAAAEE4hMgPInPjVIIIIAAAggggAACCCCAAAIIIOATAcITn0w0w0QAAQQQQAABBBBAAAEEEEAAgfgECE/ic6MUAggggAACCCCAAAIIIIAAAgj4RIDwxCcTzTARQAABBBBAAAEEEEAAAQQQQCA+AcKT+NwohQACCCCAAAIIIIAAAggggAACPhEgPPHJRDNMBBBAAAEEEEAAAQQQQAABBBCIT4DwJD43SiGAAAIIIICAiwIT3pqsx555Q28/c5dq5lTX+o2b9Y/+N+iGy/vppL8f5mJLVIUAAggggAACCMQuQHgSuxklEEAAAQQQQMBlAdu2dcG/71bbVk109cV9dOeo57T0l981+p5rXG6J6hBAAAEEEEAAgdgFCE9iN6MEAggggAACCCRBYNmvq3TmJbfq9usv0LB7ntSrY0aoQb29ktASVSKAAAIIIIAAArEJEJ7E5sXdCCCAAAIIIJBEgbEvvqv7R09wHtcZ0Of4JLZE1QgggAACCCCAQPQChCfRW3EnAggggAACCCRZ4Lb7ntbbk6bppL8frluuHpDk1qgeAQQQQAABBBCIToDwJDon7kIAAQQQQACBJAt8OytXg4eN0lMPDNGAwXfq0f9crQ5tmye5VapHAAEEEEAAAQQqFyA8qdyIOxBAAAEEEEAgyQJbt+XrtAtu1nl9T9SZJx2pZ17+QOPf/FSvjb1d1aplJ7l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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "px.scatter(x=X[:, 0], y=X[:, 1])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "19cab695-8688-404e-8bba-64c0228daeb5",
   "metadata": {},
   "source": [
    "#### Extract a cluster from PCA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "a6a62459-bd78-49ad-b21c-0a45924a5591",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5dd91a22551843219261fa720effe599",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "GridspecLayout(children=(HTML(value='<h2>EncoderMap Dashboard for kevin in /h/k/encodermap_paper_images/revisi…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "H1Ub_trajs.del_CVs([\"_user_selected_points\", \"lowd\"])\n",
    "sess = em.InteractivePlotting(\n",
    "    trajs=H1Ub_trajs,\n",
    "    highd_data=H1Ub_trajs.CVs[\"SASA_dists\"],\n",
    "    lowd_data=X[:, :2],\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "d5b7632e-e992-48c3-abb8-fe7053b1ee8b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# (figure_3_trained_nn_dir / \"PCA/clusters/cluster0/\").mkdir(parents=True, exist_ok=True)\n",
    "# np.save(figure_3_trained_nn_dir / \"PCA/clusters/cluster0/selected_points.npy\", H1Ub_trajs._user_selected_points)\n",
    "H1Ub_trajs.load_CVs(\n",
    "    np.load(figure_3_trained_nn_dir / \"PCA/clusters/cluster0/selected_points.npy\"),\n",
    "    \"_user_selected_points\",\n",
    ")\n",
    "# cluster = H1Ub_trajs.cluster(0, \"_user_selected_points\", n_points=10)\n",
    "# traj = cluster.stack()\n",
    "# traj.save_pdb(figure_3_trained_nn_dir / \"PCA/clusters/cluster0/cluster0.pdb\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2b389e06-9152-4436-bfdc-e55cc209e67e",
   "metadata": {},
   "source": [
    "#### Plot"
   ]
  },
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   "execution_count": 34,
   "id": "f6b61414-27f5-4f5e-a918-84d636f4e3ed",
   "metadata": {},
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from encodermap.plot.plotting import _plot_free_energy\n",
    "from PIL import Image\n",
    "\n",
    "fig = make_subplots(\n",
    "    cols=4,\n",
    "    rows=1,\n",
    "    subplot_titles=[\n",
    "        \"classical PCA\", \"\", \"highd trace\", \"Cluster 1\",\n",
    "    ],\n",
    "    column_widths=[1, 1, 0.2, 1],\n",
    "    horizontal_spacing=0.05,\n",
    "    vertical_spacing=0.05,\n",
    ")\n",
    "\n",
    "lowd_data = X\n",
    "fig.add_trace(\n",
    "    _plot_free_energy(\n",
    "        x=H1Ub_trajs.PCA_lowd[:, 0],\n",
    "        y=H1Ub_trajs.PCA_lowd[:, 1],\n",
    "        bins=35\n",
    "    ),\n",
    "    row=1,\n",
    "    col=1,\n",
    ")\n",
    "\n",
    "fig.add_trace(\n",
    "    go.Scattergl(\n",
    "        x=H1Ub_trajs.PCA_lowd[::5, 0],\n",
    "        y=H1Ub_trajs.PCA_lowd[::5, 1],\n",
    "        marker_color=\"rgba(120, 120, 120, 0.1)\",\n",
    "        mode=\"markers\",\n",
    "        name=\"\",\n",
    "        showlegend=False,\n",
    "    ),\n",
    "    row=1,\n",
    "    col=2,\n",
    ")\n",
    "\n",
    "cluster_lowd = H1Ub_trajs.PCA_lowd[H1Ub_trajs._user_selected_points == 0]\n",
    "\n",
    "fig.add_trace(\n",
    "    go.Scattergl(\n",
    "        x=cluster_lowd[:, 0],\n",
    "        y=cluster_lowd[:, 1],\n",
    "        marker_color=\"darkgrey\",\n",
    "        marker_opacity=1.0,\n",
    "        marker_size=10,\n",
    "        mode=\"markers\",\n",
    "        name=\"\",\n",
    "        showlegend=False,\n",
    "    ),\n",
    "    row=1,\n",
    "    col=2,\n",
    ")\n",
    "\n",
    "# highd trace\n",
    "cluster_highd = H1Ub_trajs.SASA_dists[H1Ub_trajs._user_selected_points == 0]\n",
    "fig.add_trace(\n",
    "    go.Heatmap(\n",
    "        z=cluster_highd.T,\n",
    "        showlegend=False,\n",
    "        showscale=False,\n",
    "        colorscale=\"Viridis\",\n",
    "        hoverinfo=\"skip\",\n",
    "        name=\"\",\n",
    "        hovertemplate=\"\",\n",
    "    ),\n",
    "    row=1,\n",
    "    col=3,\n",
    ")\n",
    "\n",
    "# image\n",
    "# image_file = figure_3_trained_nn_dir / f\"PCA/clusters/cluster0/cluster_0_chimeraX_render.png\"\n",
    "# with Image.open(image_file) as img:\n",
    "#     fig.add_trace(\n",
    "#         go.Image(z=np.asarray(img)),\n",
    "#         row=1,\n",
    "#         col=4,\n",
    "#     )\n",
    "    \n",
    "showstuff = False\n",
    "fig.for_each_xaxis(lambda x: x.update(showgrid=showstuff, showline=showstuff, zeroline=showstuff, showticklabels=showstuff))\n",
    "fig.for_each_yaxis(lambda x: x.update(showgrid=showstuff, showline=showstuff, zeroline=showstuff, showticklabels=showstuff))\n",
    "scales = {}\n",
    "identifier = 1\n",
    "for row in range(1, 4):\n",
    "    for col in range(1, 5):\n",
    "        if col in [1, 2] and row in [1, 2, 3]:\n",
    "            scales[f\"yaxis{identifier}\"] = {\n",
    "                \"scaleanchor\": f\"x{identifier}\",\n",
    "                \"scaleratio\": 1,\n",
    "            }\n",
    "        identifier += 1\n",
    "fig.update_layout(\n",
    "    {\n",
    "        \"width\": 1000,\n",
    "        \"height\": 300,\n",
    "        \"margin\": dict(t=40, b=0, r=0, l=0),\n",
    "    } | scales,\n",
    ")\n",
    "# fig.write_image(figure_3_trained_nn_dir / \"SI_figure3_PCA.svg\", scale=2)\n",
    "# fig.write_image(figure_3_trained_nn_dir / \"SI_figure3_PCA.png\", scale=2)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "02b174fe-9432-46da-b5cd-bff8b90b0360",
   "metadata": {},
   "source": [
    "![If you can read this text, the image could not be found4.](PCA_render.png \"Title4\")"
   ]
  },
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   "cell_type": "markdown",
   "id": "421aafdc-d9a6-4b8b-86a0-cc2bfccfc393",
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   "source": [
    "### Network methods\n",
    "\n",
    "As opposed to these classical methods, the dimensionality reduction in autoencoders in general and EncoderMap in particular is achieved by building a neural network architecture and then using automatic differentiation to reduce the cost scalar of a cost function by computing the gradient of all weights and biases of all layers in the network. Using neural networks for dimensionality reduction makes two things possible:\n",
    "\n",
    "- The training in done in batches. The dataset can be infinitely large.\n",
    "- The decoder network offers a differentiable function from the low-dimensional embedded/latent space (bottle-neck neurons) to the same feature space as the high-dimensional input.\n",
    "\n",
    "In the next examples we will train 3 autoencoder networks, that share the same architecture but differ in their cost functions.\n",
    "\n",
    "#### Network 1: Autoencoder\n",
    "\n",
    "This network does not implement any cost function, that links the input and the latent space. This can easily be achieved in EncoderMap by setting the `distance_cost_scale` parameter to 0:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "b82cc2e3-400e-40bc-945b-e078ef243a4b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Re-train the autoencoder network (y) or load from provided data (N)? \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Seems like the parameter file was moved to another directory. Parameter file is updated ...\n",
      "Output files are saved to /home/kevin/encodermap_paper_images/trained_networks/figure_3/autoencoder as defined in 'main_path' in the parameters.\n",
      "Saved a text-summary of the model and an image in /home/kevin/encodermap_paper_images/trained_networks/figure_3/autoencoder, as specified in 'main_path' in the parameters.\n"
     ]
    }
   ],
   "source": [
    "if input(\n",
    "    f\"Re-train the autoencoder network (y) or load from provided data (N)?\"\n",
    ") == \"y\":\n",
    "    # train\n",
    "    p = em.Parameters(\n",
    "        tensorboard=True,\n",
    "        main_path=em.misc.run_path(Path.cwd() / \"analysis/autoencoder\"),\n",
    "        n_steps=3_000,\n",
    "        summary_step=10,\n",
    "        distance_cost_scale=0,\n",
    "    )\n",
    "    autoencoder = em.EncoderMap(\n",
    "        parameters=p,\n",
    "        train_data=ds,\n",
    "    )\n",
    "    autoencoder.add_images_to_tensorboard(data=plotting_data)\n",
    "    history = autoencoder.train()\n",
    "    json.dump(history.history, open(Path(autoencoder.p.main_path) / \"history.json\", 'w'))\n",
    "else:\n",
    "    # load\n",
    "    autoencoder = em.EncoderMap.from_checkpoint(figure_3_trained_nn_dir / \"autoencoder\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "08a1a66f-9d8e-443d-ad4f-871df7aad117",
   "metadata": {},
   "source": [
    "#### Extract a cluster from the projection using `autoencoder`\n",
    "\n",
    "This cluster will then be used in the preparation of figure 3."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f7008d89-71df-4a40-b95d-e4ab7444014c",
   "metadata": {},
   "outputs": [],
   "source": [
    "H1Ub_trajs.del_CVs([\"_user_selected_points\", \"lowd\"])\n",
    "sess = em.InteractivePlotting(\n",
    "    trajs=H1Ub_trajs,\n",
    "    highd_data=H1Ub_trajs.CVs[\"SASA_dists\"],\n",
    "    autoencoder=autoencoder,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f08898fd-bd94-4d33-8311-425bbdbb0a7d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# cluster = em.load(figure_3_trained_nn_dir / \"autoencoder/clusters/cluster0/cluster_0.h5\")\n",
    "# traj = cluster.stack()\n",
    "# traj.save_pdb(figure_3_trained_nn_dir / \"autoencoder/clusters/cluster0/cluster_0.pdb\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9277625c-8798-4cf6-8a6e-5170e0ea91ae",
   "metadata": {},
   "source": [
    "#### Network 2: A MDS-like cost function\n",
    "\n",
    "This cost function needs to be implemented, as it is not present in EncoderMap. Luckily, EncoderMap allows us to do this, by adhering to some design rules."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "95788080-1d9b-45fa-9f48-1671877b986f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# We will import the function pairwise_dist()\n",
    "# and pairwise_dist_periodic() \n",
    "# from EncoderMap's misc sub-package.\n",
    "from encodermap.misc.distances import pairwise_dist, pairwise_dist_periodic\n",
    "\n",
    "\n",
    "def MDS_loss(model, parameters):\n",
    "    \"\"\"Outer function of our MDS loss.\n",
    "\n",
    "    Similar to the other loss closures in\n",
    "    EncoderMap, the outer function takes\n",
    "    two arguments: model and parameters.\n",
    "\n",
    "    We can also implement additinal logic\n",
    "    to print in the outer function.\n",
    "\n",
    "    Args:\n",
    "        model (tf.keras.Model): A tensorflow model.\n",
    "            This model is required to have an attribute\n",
    "            called `encoder`, which will be used\n",
    "            to get the output of the bottleneck neurons.\n",
    "        parameters (em.parameters.AnyParameters): An\n",
    "            instance of EncoderMap's parameter classes.\n",
    "\n",
    "    Returns:\n",
    "        Callable[[tf.Tensor, tf.Tensor], tf.Tensor]:\n",
    "            The inner function, which tensorflow uses\n",
    "            to calculate the MDS loss.\n",
    "    \n",
    "    \"\"\"\n",
    "    # to get intermediate output for loss calculations\n",
    "    latent = model.encoder\n",
    "    periodicity = parameters.periodicity\n",
    "\n",
    "    print(\"Outer function of MDS loss called.\")\n",
    "\n",
    "    def MDS_loss_fn(y_true, y_pred=None):\n",
    "        \"\"\"Inner MDS loss function.\n",
    "\n",
    "        The inner function must return a scalar value.\n",
    "\n",
    "        Args:\n",
    "            y_true (tf.Tensor): The input.\n",
    "            y_pred (tf.Tensor): The output. This\n",
    "                argument will not be used. We are not\n",
    "                interested in the output of the decoder.\n",
    "\n",
    "        Returns:\n",
    "            tf.Tensor: The output scalar tensor.\n",
    "        \n",
    "        \"\"\"\n",
    "        # lowd and highd are defines like so\n",
    "        lowd = latent(y_true)\n",
    "        highd = y_true\n",
    "\n",
    "        # pairwise distances are calculated like so\n",
    "        # for the input, we have to respect the \n",
    "        # periodicity of the input space.\n",
    "        pairwise_lowd = pairwise_dist(lowd)\n",
    "        pairwise_highd = pairwise_dist_periodic(\n",
    "            positions=highd,\n",
    "            periodicity=periodicity,\n",
    "        )\n",
    "\n",
    "        # The mean squared differences of the\n",
    "        # pairwise distances is the MDS cost\n",
    "        cost = tf.reduce_mean(\n",
    "            tf.square(\n",
    "                pairwise_highd - pairwise_lowd\n",
    "            )\n",
    "        )\n",
    "\n",
    "        # log to tensorboard\n",
    "        tf.summary.scalar('MDS Cost', cost)\n",
    "        return cost\n",
    "    return MDS_loss_fn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "6d721482-32fe-4ce9-886f-61226b68d419",
   "metadata": {},
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Re-train the MDS-autoencoder network (y) or load from provided data (N)? \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Seems like the parameter file was moved to another directory. Parameter file is updated ...\n",
      "Output files are saved to /home/kevin/encodermap_paper_images/trained_networks/figure_3/mds as defined in 'main_path' in the parameters.\n",
      "Saved a text-summary of the model and an image in /home/kevin/encodermap_paper_images/trained_networks/figure_3/mds, as specified in 'main_path' in the parameters.\n"
     ]
    }
   ],
   "source": [
    "if input(\n",
    "    f\"Re-train the MDS-autoencoder network (y) or load from provided data (N)?\"\n",
    ") == \"y\":\n",
    "    # train\n",
    "    p = em.Parameters(\n",
    "        tensorboard=True,\n",
    "        main_path=em.misc.run_path(Path.cwd() / \"analysis/custom_mds\"),\n",
    "        n_steps=3_000,\n",
    "        summary_step=10,\n",
    "        distance_cost_scale=0,\n",
    "    )\n",
    "    custom_mds = em.EncoderMap(\n",
    "        parameters=p,\n",
    "        train_data=ds,\n",
    "    )\n",
    "    custom_mds.add_loss(MDS_loss)\n",
    "    custom_mds.add_images_to_tensorboard(data=plotting_data)\n",
    "    history = custom_mds.train()\n",
    "    json.dump(history.history, open(Path(custom_mds.p.main_path) / \"history.json\", 'w'))\n",
    "else:\n",
    "    # load\n",
    "    autoencoder_with_mds = em.EncoderMap.from_checkpoint(figure_3_trained_nn_dir / \"mds\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7c8cc2ec-e186-4025-b0f7-2a63ab2d38b4",
   "metadata": {},
   "source": [
    "#### Extract a cluster from the projection using `autoencoder_with_mds`\n",
    "\n",
    "This cluster will then be used in the preparation of figure 3."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e12cb697-1f06-4fee-b59e-39ffe7577de6",
   "metadata": {},
   "outputs": [],
   "source": [
    "H1Ub_trajs.del_CVs([\"_user_selected_points\", \"lowd\"])\n",
    "sess = em.InteractivePlotting(\n",
    "    trajs=H1Ub_trajs,\n",
    "    highd_data=H1Ub_trajs.CVs[\"SASA_dists\"],\n",
    "    autoencoder=autoencoder_with_mds,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cbf39f39-b469-4edd-8528-ad48ce84b506",
   "metadata": {},
   "outputs": [],
   "source": [
    "# cluster = em.load(figure_3_trained_nn_dir / \"mds/clusters/cluster0/cluster_0.h5\")\n",
    "# traj = cluster.stack()\n",
    "# traj.save_pdb(figure_3_trained_nn_dir / \"mds/clusters/cluster0/cluster_0.pdb\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "80deacbf-9ecd-4a4d-8e64-80e72ea6960a",
   "metadata": {},
   "source": [
    "#### Network 3: Full EncoderMap with sketch-map cost\n",
    "\n",
    "Now, we turn on the regular distance cost in EncoderMap by setting `distance_cost_scale` to 1 and providing the sigmoid parameters defined in https://doi.org/10.1371/journal.pcbi.1010531 (`dist_sig_parameters=(6, 10, 3, 6, 2, 3)`). We will also set the periodicity to `periodicity=float(\"inf\")` to tell EncoderMap, that the SASA distances don't lie in a periodic space."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "bac21cc3-5c77-41d5-990d-b855efa2519a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Re-train the encodermap network (y) or load from provided data (N)? \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Seems like the parameter file was moved to another directory. Parameter file is updated ...\n",
      "Output files are saved to /home/kevin/encodermap_paper_images/trained_networks/figure_3/encodermap as defined in 'main_path' in the parameters.\n",
      "Saved a text-summary of the model and an image in /home/kevin/encodermap_paper_images/trained_networks/figure_3/encodermap, as specified in 'main_path' in the parameters.\n"
     ]
    }
   ],
   "source": [
    "if input(\n",
    "    f\"Re-train the encodermap network (y) or load from provided data (N)?\"\n",
    ") == \"y\":\n",
    "    # train\n",
    "    p = em.Parameters(\n",
    "        tensorboard=True,\n",
    "        main_path=em.misc.run_path(Path.cwd() / \"analysis/encodermap\"),\n",
    "        n_steps=3_000,\n",
    "        summary_step=10,\n",
    "        dist_sig_parameters=(6, 10, 3, 6, 2, 3),\n",
    "        distance_cost_scale=1,\n",
    "        periodicity=float(\"inf\")\n",
    "    )\n",
    "    encodermap = em.EncoderMap(\n",
    "        parameters=p,\n",
    "        train_data=ds,\n",
    "    )\n",
    "    encodermap.add_images_to_tensorboard(data=plotting_data)\n",
    "    history = encodermap.train()\n",
    "    json.dump(history.history, open(Path(encodermap.p.main_path) / \"history.json\", 'w'))\n",
    "else:\n",
    "    # load\n",
    "    emap = em.EncoderMap.from_checkpoint(figure_3_trained_nn_dir / \"encodermap\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "67979a2f-e407-4140-af27-9041e7dfd0aa",
   "metadata": {},
   "source": [
    "#### Extract a cluster from the trained EncoderMap projection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e60ca4c2-beef-496e-8778-a0fc9082af7e",
   "metadata": {},
   "outputs": [],
   "source": [
    "H1Ub_trajs.del_CVs([\"_user_selected_points\", \"lowd\"])\n",
    "sess = em.InteractivePlotting(\n",
    "    trajs=H1Ub_trajs,\n",
    "    highd_data=H1Ub_trajs.CVs[\"SASA_dists\"],\n",
    "    autoencoder=emap,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "68fbdc14-8116-438d-b55f-d4bc008cb36c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# cluster = em.load(figure_3_trained_nn_dir / \"encodermap/clusters/cluster0/cluster_0.h5\")\n",
    "# traj = cluster.stack()\n",
    "# traj.save_pdb(figure_3_trained_nn_dir / \"encodermap/clusters/cluster0/cluster_0.pdb\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c50d1c18-c983-4803-b6dd-f3ebe40e75c8",
   "metadata": {},
   "source": [
    "### Final image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "9e2ff41d-549b-4d4f-8b97-a90b5e7d7f02",
   "metadata": {},
   "outputs": [
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       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
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       "\n",
       "// Listen for the removal of the full notebook cells\n",
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       "    x.observe(notebookContainer, {childList: true});\n",
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from encodermap.plot.plotting import _plot_free_energy\n",
    "from PIL import Image\n",
    "\n",
    "fig = make_subplots(\n",
    "    cols=4,\n",
    "    rows=3,\n",
    "    subplot_titles=[\n",
    "        \"autoencoder\", \"\", \"highd trace\", \"Cluster 1\",\n",
    "        \"MDS cost\", \"\", \"\", \"Cluster 2\",\n",
    "        \"Sketchmap cost\", \"\", \"\", \"Cluster 3\",\n",
    "    ],\n",
    "    column_widths=[1, 1, 0.2, 1],\n",
    "    horizontal_spacing=0.05,\n",
    "    vertical_spacing=0.05,\n",
    ")\n",
    "\n",
    "for i, (datasource, autoencoder_class) in enumerate(\n",
    "    zip(\n",
    "        [\"autoencoder\", \"mds\", \"encodermap\"],\n",
    "        [autoencoder, autoencoder_with_mds, emap],\n",
    "    )\n",
    "):\n",
    "    highd_data = H1Ub_trajs.SASA_dists\n",
    "    lowd_data = autoencoder_class.encode(highd_data)\n",
    "    fig.add_trace(\n",
    "        _plot_free_energy(\n",
    "            x=lowd_data[:, 0],\n",
    "            y=lowd_data[:, 1],\n",
    "            bins=35\n",
    "        ),\n",
    "        row=1+i,\n",
    "        col=1,\n",
    "    )\n",
    "\n",
    "    fig.add_trace(\n",
    "        go.Scattergl(\n",
    "            x=lowd_data[::5, 0],\n",
    "            y=lowd_data[::5, 1],\n",
    "            marker_color=\"rgba(120, 120, 120, 0.1)\",\n",
    "            mode=\"markers\",\n",
    "            name=\"\",\n",
    "            showlegend=False,\n",
    "        ),\n",
    "        row=i+1,\n",
    "        col=2,\n",
    "    )\n",
    "\n",
    "    for j, (cluster_source, cluster_color) in enumerate(\n",
    "        zip(\n",
    "            [\"autoencoder\", \"mds\", \"encodermap\"],\n",
    "            [\"blue\", \"orange\", \"green\"],\n",
    "        )\n",
    "    ):\n",
    "        cluster_traj = em.load(figure_3_trained_nn_dir / f\"{cluster_source}/clusters/cluster0/cluster_0.h5\")\n",
    "        cluster_highd = cluster_traj.SASA_dists\n",
    "        cluster_lowd = autoencoder_class.encode(cluster_highd)\n",
    "\n",
    "        fig.add_trace(\n",
    "            go.Scattergl(\n",
    "                x=cluster_lowd[:, 0],\n",
    "                y=cluster_lowd[:, 1],\n",
    "                marker_color=cluster_color,\n",
    "                marker_opacity=1.0 if j == i else 0.5,\n",
    "                marker_size=10,\n",
    "                mode=\"markers\",\n",
    "                name=\"\",\n",
    "                showlegend=False,\n",
    "            ),\n",
    "            row=i+1,\n",
    "            col=2,\n",
    "        )\n",
    "\n",
    "        # highd trace\n",
    "        if i == j:\n",
    "            fig.add_trace(\n",
    "                go.Heatmap(\n",
    "                    z=cluster_highd.T,\n",
    "                    showlegend=False,\n",
    "                    showscale=False,\n",
    "                    colorscale=\"Viridis\",\n",
    "                    hoverinfo=\"skip\",\n",
    "                    name=\"\",\n",
    "                    hovertemplate=\"\",\n",
    "                ),\n",
    "                row=i+1,\n",
    "                col=3,\n",
    "            )\n",
    "\n",
    "    # image\n",
    "    # image_file = figure_3_trained_nn_dir / f\"{datasource}/clusters/cluster0/cluster_0_chimeraX_render.png\"\n",
    "    # with Image.open(image_file) as img:\n",
    "    #     fig.add_trace(\n",
    "    #         go.Image(z=np.asarray(img)),\n",
    "    #         row=i+1,\n",
    "    #         col=4,\n",
    "    #     )\n",
    "    \n",
    "showstuff = False\n",
    "fig.for_each_xaxis(lambda x: x.update(showgrid=showstuff, showline=showstuff, zeroline=showstuff, showticklabels=showstuff))\n",
    "fig.for_each_yaxis(lambda x: x.update(showgrid=showstuff, showline=showstuff, zeroline=showstuff, showticklabels=showstuff))\n",
    "scales = {}\n",
    "identifier = 1\n",
    "for row in range(1, 4):\n",
    "    for col in range(1, 5):\n",
    "        if col in [1, 2] and row in [1, 2, 3]:\n",
    "            scales[f\"yaxis{identifier}\"] = {\n",
    "                \"scaleanchor\": f\"x{identifier}\",\n",
    "                \"scaleratio\": 1,\n",
    "            }\n",
    "        identifier += 1\n",
    "fig.update_layout(\n",
    "    {\n",
    "        \"width\": 1000,\n",
    "        \"height\": 1000,\n",
    "        \"margin\": dict(t=40, b=0, r=0, l=0),\n",
    "    } | scales,\n",
    ")\n",
    "# fig.write_image(figure_3_trained_nn_dir / \"figure3.svg\", scale=2)\n",
    "# fig.write_image(figure_3_trained_nn_dir / \"figure3.png\", scale=2)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "60c6bdd4-2564-4af9-8e34-e747080cb4fb",
   "metadata": {},
   "source": [
    "**no embedding cost function**\n",
    "\n",
    "![If you can read this text, the image could not be found3.](autoencoder_network_render.png \"Title3\")\n",
    "\n",
    "**MDS like cost function**\n",
    "\n",
    "![If you can read this text, the image could not be found2.](MDS_network_render.png \"Title2\")\n",
    "\n",
    "**EncoderMap's cost function**\n",
    "\n",
    "![If you can read this text, the image could not be found1.](encodermap_network_render.png \"Title1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "17da482c-6a8e-4a50-81b9-7e818b4b73bd",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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