{ "cells": [ { "cell_type": "markdown", "id": "e6a4c185-3663-4b6b-8924-33ddc1a20d4a", "metadata": {}, "source": [ "# Publication Figure 5\n", "\n", "This jupyter notebook contains the Analysis code for an upcoming publication.\n", "\n", "Authors: Kevin Sawade (kevin.sawade@uni-konstanz.de), Tobias Lemke, Christine Peter (christine.peter@uni-konstanz.de)\n", "\n", "EncoderMap's featurization was inspired by the (no longer maintained) PyEMMA library.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", "## Imports\n", "\n", "We start with the imports." ] }, { "cell_type": "code", "execution_count": 1, "id": "ff68b7c7-26b0-4e22-8523-535b0d5fe044", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/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" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "621d4a46bbef4916a902ecd23d325a61", "version_major": 2, "version_minor": 0 }, "text/plain": [] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# 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", "\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" ] }, { "cell_type": "markdown", "id": "8e119c27-fb9d-4ee7-9bd7-aae2b4aac24e", "metadata": {}, "source": [ "Using Autoreload we can make changes in the EncoderMap source code and use the new code, without needing to restart the Kernel." ] }, { "cell_type": "code", "execution_count": 3, "id": "05c70465-7506-44ec-8bca-c2e0c123e0ba", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The autoreload extension is already loaded. To reload it, use:\n", " %reload_ext autoreload\n" ] } ], "source": [ "%load_ext autoreload\n", "%autoreload 2" ] }, { "cell_type": "markdown", "id": "9f3b16a6-69f8-4a31-a8ca-8ce2b3f82cae", "metadata": {}, "source": [ "Functions for this notebook." ] }, { "cell_type": "code", "execution_count": 4, "id": "2d1e79df-b680-4c6a-9a8c-ec7100c7de7a", "metadata": {}, "outputs": [], "source": [ "@contextlib.contextmanager\n", "def set_env(**environ):\n", " \"\"\"\n", " Temporarily set the process environment variables.\n", "\n", " >>> with set_env(PLUGINS_DIR='test/plugins'):\n", " ... \"PLUGINS_DIR\" in os.environ\n", " True\n", "\n", " >>> \"PLUGINS_DIR\" in os.environ\n", " False\n", "\n", " :type environ: dict[str, unicode]\n", " :param environ: Environment variables to set\n", " \"\"\"\n", " old_environ = dict(os.environ)\n", " os.environ.update(environ)\n", " try:\n", " yield\n", " finally:\n", " os.environ.clear()\n", " os.environ.update(old_environ)" ] }, { "cell_type": "markdown", "id": "3bc8782e-5fe6-4099-a40b-9d1f893e7379", "metadata": {}, "source": [ "## 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", "Figure 4 demonstrates how EncoderMap can deal when the training input contains different topologies. The MD simulations used for this figure were orginally conducted for:\n", "\n", "```\n", "@article{kienle2022electrostatic,\n", " title={Electrostatic and steric effects underlie acetylation-induced changes in ubiquitin structure and function},\n", " author={Kienle, Simon Maria and Schneider, Tobias and Stuber, Katrin and Globisch, Christoph and Jansen, Jasmin and Stengel, Florian and Peter, Christine and Marx, Andreas and Kovermann, Michael and Scheffner, Martin},\n", " journal={Nature communications},\n", " volume={13},\n", " number={1},\n", " pages={5435},\n", " year={2022},\n", " publisher={Nature Publishing Group UK London}\n", "}\n", "```\n", "\n", "They can be downloaded from KonDATA as well. First, let use define, where the data will be put." ] }, { "cell_type": "code", "execution_count": 5, "id": "5ce9ff32-06f6-4ef7-9624-e20a86e31751", "metadata": {}, "outputs": [], "source": [ "figure_5_data_dir = Path.cwd() / \"analysis/figure_5\"\n", "if not figure_5_data_dir.exists():\n", " figure_5_data_dir.mkdir(parents=True)" ] }, { "cell_type": "markdown", "id": "026c1e6e-3140-47e1-b5c6-6abcb7f4ad45", "metadata": {}, "source": [ "### Load MD Data from KonDATA" ] }, { "cell_type": "code", "execution_count": 6, "id": "de5e8508-3ad8-46e9-a14f-b08c77b3edc2", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Output()" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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   "source": [
    "em.get_from_kondata(\n",
    "    \"Ub_K11_mutants\",\n",
    "    output=figure_5_data_dir,\n",
    "    silence_overwrite_message=True,\n",
    ")"
   ]
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   "id": "b10e8c63-ce77-4d97-a931-4b4947b5a10c",
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   "source": [
    "Next, we will load the `.xtc` and `.pdb` files into an EncoderMap `TrajEnsemble`. The list of common strings (`common_str`) defines, how EncoderMap should group the trajectories."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "17a0dba7-7210-4f40-b02c-931fc3f24db0",
   "metadata": {},
   "outputs": [],
   "source": [
    "common_str=[\"Ac\", \"C\", \"Q\", \"R\", \"wt\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "70e0bfd7-39f8-497d-a3c1-cfb7756c9a6e",
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   "source": [
    "Then we can use Python pathlib's glob to search for `.xtc` and `.pdb` files."
   ]
  },
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   "cell_type": "code",
   "execution_count": 8,
   "id": "b1431961-3612-4e99-9467-e75a741d75d0",
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   "outputs": [
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     "text": [
      "analysis/figure_4/Ub_K11C_I/traj.xtc\n",
      "analysis/figure_4/Ub_K11Q_III/traj.xtc\n",
      "analysis/figure_4/Ub_K11Q_II/traj.xtc\n",
      "analysis/figure_4/Ub_K11Ac_III/traj.xtc\n",
      "analysis/figure_4/Ub_wt_II/traj.xtc\n",
      "analysis/figure_4/Ub_wt_III/traj.xtc\n",
      "analysis/figure_4/Ub_K11Q_I/traj.xtc\n",
      "analysis/figure_4/Ub_K11R_I/traj.xtc\n",
      "analysis/figure_4/Ub_wt_I/traj.xtc\n",
      "analysis/figure_4/Ub_K11C_II/traj.xtc\n",
      "analysis/figure_4/Ub_K11R_III/traj.xtc\n",
      "analysis/figure_4/Ub_K11Ac_II/traj.xtc\n",
      "analysis/figure_4/Ub_K11C_III/traj.xtc\n",
      "analysis/figure_4/Ub_K11Ac_I/traj.xtc\n",
      "analysis/figure_4/Ub_K11R_II/traj.xtc\n"
     ]
    }
   ],
   "source": [
    "xtc_files = list(figure_5_data_dir.rglob(\"*.xtc\"))\n",
    "for file in xtc_files:\n",
    "    print(file.relative_to(Path.cwd()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "f985c6d5-bba1-4ed1-aaef-c14370060f41",
   "metadata": {},
   "outputs": [],
   "source": [
    "pdb_files = []\n",
    "for file in xtc_files:\n",
    "    pdb_file = file.with_name(\"start.pdb\")\n",
    "    pdb_files.append(pdb_file)"
   ]
  },
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   "cell_type": "code",
   "execution_count": 10,
   "id": "1e3a68f6-8113-4ceb-92cb-f23141a8addf",
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    "Ub_K11_trajs = em.load(xtc_files, pdb_files, common_str=common_str)\n",
    "Ub_K11_trajs"
   ]
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   "id": "406383ed-f9aa-4219-80a6-99064da214b7",
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   "source": [
    "### Add custom topologies\n",
    "\n",
    "The one outlier in this dataset is the acetylated lysine. This is a non-standard residue, and thus, we need to tell EncoderMap how to deal with it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d38f4d51-6f55-475c-a594-17a356616b86",
   "metadata": {},
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   "source": [
    "custom_aas = {\n",
    "    \"KAC\": (\n",
    "        \"K\",\n",
    "        {\n",
    "            \"optional_bonds\": [\n",
    "                (\"-C\", \"N\"),  # the peptide bond to the previous aa\n",
    "                (\"N\", \"CA\"),\n",
    "                (\"N\", \"H\"),\n",
    "                (\"CA\", \"C\"),\n",
    "                (\"C\", \"O\"),\n",
    "                (\"CA\", \"CB\"),\n",
    "                (\"CB\", \"CG\"),\n",
    "                (\"CG\", \"CD\"),\n",
    "                (\"CD\", \"CE\"),\n",
    "                (\"CE\", \"NZ\"),\n",
    "                (\"NZ\", \"HZ\"),\n",
    "                (\"NZ\", \"CH\"),\n",
    "                (\"CH\", \"OI2\"),\n",
    "                (\"CH\", \"CI1\"),\n",
    "                (\"C\", \"+N\"),  # the peptide bond to the next aa\n",
    "                (\"C\", \"+N\"),  # the peptide bond to the next aa\n",
    "            ],\n",
    "            \"CHI1\": [\"N\", \"CA\", \"CB\", \"CG\"],\n",
    "            \"CHI2\": [\"CA\", \"CB\", \"CG\", \"CD\"],\n",
    "            \"CHI3\": [\"CB\", \"CG\", \"CD\", \"CE\"],\n",
    "            \"CHI4\": [\"CG\", \"CD\", \"CE\", \"NZ\"],\n",
    "            \"CHI5\": [\"CD\", \"CE\", \"NZ\", \"CH\"],\n",
    "        },\n",
    "    )\n",
    "}\n",
    "Ub_K11_trajs.load_custom_topology(custom_aas)"
   ]
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   "id": "388a1133-735d-41ea-a72f-9a7c254f3c2c",
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   "source": [
    "### Load CVs\n",
    "\n",
    "CVs for this dataset can be loaded via"
   ]
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   "execution_count": 13,
   "id": "0440de8b-d9f6-4fd6-be9d-17782d1d974f",
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n,i,a,o=e[t],s=w.scopeDefaults[e.scope];\"lonaxis\"===t?(n=s.lonaxisRange,i=s.lataxisRange,a=function(t,e){return[t,e]}):\"lataxis\"===t&&(n=s.lataxisRange,i=s.lonaxisRange,a=function(t,e){return[e,t]});var l={type:\"linear\",range:[n[0],n[1]-1e-6],tick0:o.tick0,dtick:o.dtick};v.setConvert(l,r);var u=v.calcTicks(l);e.isScoped||\"lonaxis\"!==t||u.pop();for(var c=u.length,f=new Array(c),h=0;h-1&&b(n.event,i,[r.xaxis],[r.yaxis],r.id,c),s.indexOf(\"event\")>-1&&p.click(i,n.event))}))}function f(t){return r.projection.invert([t[0]+r.xaxis._offset,t[1]+r.yaxis._offset])}},S.makeFramework=function(){var t=this,e=t.graphDiv,r=e._fullLayout,i=\"clip\"+r._uid+t.id;t.clipDef=r._clips.append(\"clipPath\").attr(\"id\",i),t.clipRect=t.clipDef.append(\"rect\"),t.framework=n.select(t.container).append(\"g\").attr(\"class\",\"geo \"+t.id).call(h.setClipUrl,i,e),t.project=function(e){var r=t.projection(e);return r?[r[0]-t.xaxis._offset,r[1]-t.yaxis._offset]:[null,null]},t.xaxis={_id:\"x\",c2p:function(e){return t.project(e)[0]}},t.yaxis={_id:\"y\",c2p:function(e){return t.project(e)[1]}},t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},v.setConvert(t.mockAxis,r)},S.saveViewInitial=function(t){var e,r=t.center||{},n=t.projection,i=n.rotation||{};this.viewInitial={fitbounds:t.fitbounds,\"projection.scale\":n.scale},e=t._isScoped?{\"center.lon\":r.lon,\"center.lat\":r.lat}:t._isClipped?{\"projection.rotation.lon\":i.lon,\"projection.rotation.lat\":i.lat}:{\"center.lon\":r.lon,\"center.lat\":r.lat,\"projection.rotation.lon\":i.lon},u.extendFlat(this.viewInitial,e)},S.render=function(t){this._hasMarkerAngles&&t?this.plot(this._geoCalcData,this._fullLayout,[],!0):this._render()},S._render=function(){var t,e=this.projection,r=e.getPath();function n(t){var r=e(t.lonlat);return r?c(r[0],r[1]):null}function i(t){return e.isLonLatOverEdges(t.lonlat)?\"none\":null}for(t in 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r=0,n=0,i=t.length;nMath.abs(s)?(u.boxEnd[1]=u.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),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[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).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 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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/g,\" 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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\")):\"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(\"
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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 p},k.updateFx=function(t,e){var r=this,n=r.camera;if(n)if(\"orbit\"===t)n.mode=\"orbit\",n.keyBindingMode=\"rotate\";else if(\"turntable\"===t){n.up=[0,0,1],n.mode=\"turntable\",n.keyBindingMode=\"rotate\";var i=r.graphDiv,a=i._fullLayout,o=r.fullSceneLayout.camera,s=o.up.x,l=o.up.y,u=o.up.z;if(u/Math.sqrt(s*s+l*l+u*u)<.999){var h=r.id+\".camera.up\",p={x:0,y:0,z:1},d={};d[h]=p;var v=i.layout;c.call(\"_storeDirectGUIEdit\",v,a._preGUI,d),o.up=p,f.nestedProperty(v,h).set(p)}}else n.keyBindingMode=t;r.fullSceneLayout.hovermode=e},k.toImage=function(t){var e=this;t||(t=\"png\"),e.staticMode&&e.container.appendChild(n),e.glplot.redraw();var r=e.glplot.gl,i=r.drawingBufferWidth,a=r.drawingBufferHeight;r.bindFramebuffer(r.FRAMEBUFFER,null);var o=new Uint8Array(i*a*4);r.readPixels(0,0,i,a,r.RGBA,r.UNSIGNED_BYTE,o),function(t,e,r){for(var n=0,i=r-1;n0)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;aOpenStreetMap contributors',o=['© Carto',a].join(\" \"),s=['Map tiles by Stamen Design','under CC BY 3.0',\"|\",'Data by OpenStreetMap contributors','under ODbL'].join(\" 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n=r(3480),i=r(3400),a=i.strTranslate,o=i.strScale,s=r(84888).KY,l=r(9616),u=r(33428),c=r(43616),f=r(72736),h=r(14440),p=\"mapbox\",d=e.constants=r(47552);function v(t){return\"string\"==typeof t&&(-1!==d.styleValuesMapbox.indexOf(t)||0===t.indexOf(\"mapbox://\")||0===t.indexOf(\"stamen\"))}e.name=p,e.attr=\"subplot\",e.idRoot=p,e.idRegex=e.attrRegex=i.counterRegex(p),e.attributes={subplot:{valType:\"subplotid\",dflt:\"mapbox\",editType:\"calc\"}},e.layoutAttributes=r(5232),e.supplyLayoutDefaults=r(5976),e.plot=function(t){var e=t._fullLayout,r=t.calcdata,a=e._subplots[p];if(n.version!==d.requiredVersion)throw new Error(d.wrongVersionErrorMsg);var o=function(t,e){var r=t._fullLayout;if(\"\"===t._context.mapboxAccessToken)return\"\";for(var n=[],a=[],o=!1,s=!1,l=0;l1&&i.warn(d.multipleTokensErrorMsg),n[0]):(a.length&&i.log([\"Listed mapbox access token(s)\",a.join(\",\"),\"but did not use a Mapbox map style, ignoring token(s).\"].join(\" \")),\"\")}(t,a);n.accessToken=o;for(var l=0;lw/2){var T=m.split(\"|\").join(\"
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y=E.findPolygonOffset(v,L[0],L[1],C);B+=A+y[0],N+=M+y[1]}switch(l){case\"zoom\":Y.clickFn=st,u||(Y.moveFn=C?it:rt,Y.doneFn=at,function(){j=null,U=null,V=s.pathSubplot(),q=!1;var t=c._fullLayout[s.id];H=i(t.bgcolor).getLuminance(),(G=g.makeZoombox(h,H,T,k,V)).attr(\"fill-rule\",\"evenodd\"),W=g.makeCorners(h,T,k),w(c)}());break;case\"select\":case\"lasso\":b(t,n,a,Y,l)}},y.init(Y)},N.updateRadialDrag=function(t,e,r){var i=this,u=i.gd,c=i.layers,f=i.radius,h=i.innerRadius,p=i.cx,d=i.cy,v=i.radialAxis,m=S.radialDragBoxSize,x=m/2;if(v.visible){var b,_,T,M=R(i.radialAxisAngle),E=v._rl,L=E[0],C=E[1],P=E[r],O=.75*(E[1]-E[0])/(1-i.getHole(e))/f;r?(b=p+(f+x)*Math.cos(M),_=d-(f+x)*Math.sin(M),T=\"radialdrag\"):(b=p+(h-x)*Math.cos(M),_=d-(h-x)*Math.sin(M),T=\"radialdrag-inner\");var I,D,z,B=g.makeRectDragger(c,T,\"crosshair\",-x,-x,m,m),N={element:B,gd:u};!1===t.dragmode&&(N.dragmode=!1),V(n.select(B),v.visible&&h0==(r?z>L:zn?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;i0?1:0}function r(t){var e=t[0],r=t[1];if(!isFinite(e)||!isFinite(r))return[1,0];var n=(e+1)*(e+1)+r*r;return[(e*e+r*r-1)/n,2*r/n]}function n(t,e){var r=e[0],n=e[1];return[r*t.radius+t.cx,-n*t.radius+t.cy]}function i(t,e){return e*t.radius}t.exports={smith:r,reactanceArc:function(t,e,a,o){var s=n(t,r([a,e])),l=s[0],u=s[1],c=n(t,r([o,e])),f=c[0],h=c[1];if(0===e)return[\"M\"+l+\",\"+u,\"L\"+f+\",\"+h].join(\" \");var p=i(t,1/Math.abs(e));return[\"M\"+l+\",\"+u,\"A\"+p+\",\"+p+\" 0 0,\"+(e<0?1:0)+\" \"+f+\",\"+h].join(\" \")},resistanceArc:function(t,a,o,s){var l=i(t,1/(a+1)),u=n(t,r([a,o])),c=u[0],f=u[1],h=n(t,r([a,s])),p=h[0],d=h[1];if(e(o)!==e(s)){var v=n(t,r([a,0]));return[\"M\"+c+\",\"+f,\"A\"+l+\",\"+l+\" 0 0,\"+(00){for(var n=[],i=0;i=c&&(h.min=0,d.min=0,g.min=0,t.aaxis&&delete t.aaxis.min,t.baxis&&delete t.baxis.min,t.caxis&&delete t.caxis.min)}function v(t,e,r,n){var i=h[e._name];function o(r,n){return a.coerce(t,e,i,r,n)}o(\"uirevision\",n.uirevision),e.type=\"linear\";var p=o(\"color\"),d=p!==i.color.dflt?p:r.font.color,v=e._name.charAt(0).toUpperCase(),g=\"Component 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n=r(33428),i=r(49760),a=r(24040),o=r(3400),s=o.strTranslate,l=o._,u=r(76308),c=r(43616),f=r(78344),h=r(92880).extendFlat,p=r(7316),d=r(54460),v=r(86476),g=r(93024),y=r(72760),m=y.freeMode,x=y.rectMode,b=r(81668),_=r(22676).prepSelect,w=r(22676).selectOnClick,T=r(22676).clearOutline,k=r(22676).clearSelectionsCache,A=r(33816);function M(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}t.exports=M;var S=M.prototype;S.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},S.plot=function(t,e){var r=this,n=e[r.id],i=e._size;r._hasClipOnAxisFalse=!1;for(var a=0;aE*b?i=(a=b)*E:a=(i=x)/E,o=y*i/x,l=m*a/b,r=e.l+e.w*v-i/2,n=e.t+e.h*(1-g)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[v-o/2,v+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[g-l/2,g+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var S=p.baxis=h({},t.baxis,{range:[_-w-k,T],side:\"bottom\",domain:p.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:i});f(S,p.graphDiv._fullLayout),S.setScale();var L=p.caxis=h({},t.caxis,{range:[_-w-T,k],side:\"right\",tickangle:(+t.caxis.tickangle||0)+30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(L,p.graphDiv._fullLayout),L.setScale();var C=\"M\"+r+\",\"+(n+a)+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDef.select(\"path\").attr(\"d\",C),p.layers.plotbg.select(\"path\").attr(\"d\",C);var P=\"M0,\"+a+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDefRelative.select(\"path\").attr(\"d\",P);var O=s(r,n);p.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",O),p.clipDefRelative.select(\"path\").attr(\"transform\",null);var I=s(r-S._offset,n+a);p.layers.baxis.attr(\"transform\",I),p.layers.bgrid.attr(\"transform\",I);var D=s(r+i/2,n)+\"rotate(30)\"+s(0,-M._offset);p.layers.aaxis.attr(\"transform\",D),p.layers.agrid.attr(\"transform\",D);var z=s(r+i/2,n)+\"rotate(-30)\"+s(0,-L._offset);p.layers.caxis.attr(\"transform\",z),p.layers.cgrid.attr(\"transform\",z),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(u.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(u.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",L.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(u.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),c.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var e=this,r=e.graphDiv,n=e.id.substr(7)+\"title\",i=e.layers,a=e.aaxis,o=e.baxis,s=e.caxis;if(e.drawAx(a),e.drawAx(o),e.drawAx(s),t){var u=Math.max(a.showticklabels?a.tickfont.size/2:0,(s.showticklabels?.75*s.tickfont.size:0)+(\"outside\"===s.ticks?.87*s.ticklen:0)),c=(o.showticklabels?o.tickfont.size:0)+(\"outside\"===o.ticks?o.ticklen:0)+3;i[\"a-title\"]=b.draw(r,\"a\"+n,{propContainer:a,propName:e.id+\".aaxis.title\",placeholder:l(r,\"Click to enter Component A title\"),attributes:{x:e.x0+e.w/2,y:e.y0-a.title.font.size/3-u,\"text-anchor\":\"middle\"}}),i[\"b-title\"]=b.draw(r,\"b\"+n,{propContainer:o,propName:e.id+\".baxis.title\",placeholder:l(r,\"Click to enter Component B title\"),attributes:{x:e.x0-c,y:e.y0+e.h+.83*o.title.font.size+c,\"text-anchor\":\"middle\"}}),i[\"c-title\"]=b.draw(r,\"c\"+n,{propContainer:s,propName:e.id+\".caxis.title\",placeholder:l(r,\"Click to enter Component C title\"),attributes:{x:e.x0+e.w+c,y:e.y0+e.h+.83*s.title.font.size+c,\"text-anchor\":\"middle\"}})}},S.drawAx=function(t){var e,r=this,n=r.graphDiv,i=t._name,a=i.charAt(0),s=t._id,l=r.layers[i],u=a+\"tickLayout\",c=(e=t).ticks+String(e.ticklen)+String(e.showticklabels);r[u]!==c&&(l.selectAll(\".\"+s+\"tick\").remove(),r[u]=c),t.setScale();var f=d.calcTicks(t),h=d.clipEnds(t,f),p=d.makeTransTickFn(t),v=d.getTickSigns(t)[2],g=o.deg2rad(30),y=v*(t.linewidth||1)/2,m=v*t.ticklen,x=r.w,b=r.h,_=\"b\"===a?\"M0,\"+y+\"l\"+Math.sin(g)*m+\",\"+Math.cos(g)*m:\"M\"+y+\",0l\"+Math.cos(g)*m+\",\"+-Math.sin(g)*m,w={a:\"M0,0l\"+b+\",-\"+x/2,b:\"M0,0l-\"+x/2+\",-\"+b,c:\"M0,0l-\"+b+\",\"+x/2}[a];d.drawTicks(n,t,{vals:\"inside\"===t.ticks?h:f,layer:l,path:_,transFn:p,crisp:!1}),d.drawGrid(n,t,{vals:h,layer:r.layers[a+\"grid\"],path:w,transFn:p,crisp:!1}),d.drawLabels(n,t,{vals:f,layer:l,transFn:p,labelFns:d.makeLabelFns(t,0,30)})};var L=A.MINZOOM/2+.87,C=\"m-0.87,.5h\"+L+\"v3h-\"+(L+5.2)+\"l\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l2.6,1.5l-\"+L/2+\",\"+.87*L+\"Z\",P=\"m0.87,.5h-\"+L+\"v3h\"+(L+5.2)+\"l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-2.6,1.5l\"+L/2+\",\"+.87*L+\"Z\",O=\"m0,1l\"+L/2+\",\"+.87*L+\"l2.6,-1.5l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-\"+(L/2+2.6)+\",\"+(.87*L+4.5)+\"l2.6,1.5l\"+L/2+\",-\"+.87*L+\"Z\",I=!0;function D(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}S.clearOutline=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,f,h,p,d,y,b,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),L=M.graphDiv,z=L._fullLayout._zoomlayer;function R(t){var e={};return e[M.id+\".aaxis.min\"]=t.a,e[M.id+\".baxis.min\"]=t.b,e[M.id+\".caxis.min\"]=t.c,e}function F(t,e){var r=L._fullLayout.clickmode;D(L),2===t&&(L.emit(\"plotly_doubleclick\",null),a.call(\"_guiRelayout\",L,R({a:0,b:0,c:0}))),r.indexOf(\"select\")>-1&&1===t&&w(e,L,[M.xaxis],[M.yaxis],M.id,M.dragOptions),r.indexOf(\"event\")>-1&&g.click(L,e,M.id)}function B(t,e){return 1-e/M.h}function N(t,e){return 1-(t+(M.h-e)/Math.sqrt(3))/M.w}function j(t,e){return(t-(M.h-e)/Math.sqrt(3))/M.w}function U(i,a){var o=r+i*t,s=n+a*e,l=Math.max(0,Math.min(1,B(0,n),B(0,s))),u=Math.max(0,Math.min(1,N(r,n),N(o,s))),c=Math.max(0,Math.min(1,j(r,n),j(o,s))),v=(l/2+c)*M.w,g=(1-l/2-u)*M.w,m=(v+g)/2,x=g-v,_=(1-l)*M.h,w=_-x/E;x.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),k.transition().style(\"opacity\",1).duration(200),b=!0),L.emit(\"plotly_relayouting\",R(p))}function V(){D(L),p!==f&&(a.call(\"_guiRelayout\",L,R(p)),I&&L.data&&L._context.showTips&&(o.notifier(l(L,\"Double-click to zoom back out\"),\"long\"),I=!1))}function q(t,e){var r=t/M.xaxis._m,n=e/M.yaxis._m,i=[(p={a:f.a-n,b:f.b+(r+n)/2,c:f.c-(r-n)/2}).a,p.b,p.c].sort(o.sorterAsc),a=i.indexOf(p.a),l=i.indexOf(p.b),u=i.indexOf(p.c);i[0]<0&&(i[1]+i[0]/2<0?(i[2]+=i[0]+i[1],i[0]=i[1]=0):(i[2]+=i[0]/2,i[1]+=i[0]/2,i[0]=0),p={a:i[a],b:i[l],c:i[u]},e=(f.a-p.a)*M.yaxis._m,t=(f.c-p.c-f.b+p.b)*M.xaxis._m);var h=s(M.x0+t,M.y0+e);M.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",h);var d=s(-t,-e);M.clipDefRelative.select(\"path\").attr(\"transform\",d),M.aaxis.range=[p.a,M.sum-p.b-p.c],M.baxis.range=[M.sum-p.a-p.c,p.b],M.caxis.range=[M.sum-p.a-p.b,p.c],M.drawAxes(!1),M._hasClipOnAxisFalse&&M.plotContainer.select(\".scatterlayer\").selectAll(\".trace\").call(c.hideOutsideRangePoints,M),L.emit(\"plotly_relayouting\",R(p))}function H(){a.call(\"_guiRelayout\",L,R(p))}this.dragOptions={element:S,gd:L,plotinfo:{id:M.id,domain:L._fullLayout[M.id].domain,xaxis:M.xaxis,yaxis:M.yaxis},subplot:M.id,prepFn:function(a,l,c){M.dragOptions.xaxes=[M.xaxis],M.dragOptions.yaxes=[M.yaxis],t=L._fullLayout._invScaleX,e=L._fullLayout._invScaleY;var v=M.dragOptions.dragmode=L._fullLayout.dragmode;m(v)?M.dragOptions.minDrag=1:M.dragOptions.minDrag=void 0,\"zoom\"===v?(M.dragOptions.moveFn=U,M.dragOptions.clickFn=F,M.dragOptions.doneFn=V,function(t,e,a){var l=S.getBoundingClientRect();r=e-l.left,n=a-l.top,L._fullLayout._calcInverseTransform(L);var c=L._fullLayout._invTransform,v=o.apply3DTransform(c)(r,n);r=v[0],n=v[1],f={a:M.aaxis.range[0],b:M.baxis.range[1],c:M.caxis.range[1]},p=f,h=M.aaxis.range[1]-f.a,d=i(M.graphDiv._fullLayout[M.id].bgcolor).getLuminance(),y=\"M0,\"+M.h+\"L\"+M.w/2+\", 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Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr(\"x\",(function(t){return i.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*A})).attr(\"height\",(function(t){return t.thickness*A}))}(i=k(t,c.gauge.axis))._id=\"xbulletaxis\",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],u=y.t+y.h,i.visible&&(d.drawTicks(t,i,{vals:\"inside\"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,u,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,u)}));var C=[v].concat(c.gauge.steps),P=f.selectAll(\"g.bg-bullet\").data(C);P.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),P.select(\"rect\").call(L).call(T),P.exit().remove();var 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 R?x.right:x[O.title.align]})).text(O.title.text).call(f.font,O.title.font).call(p.convertToTspans,t),K.attr(\"transform\",(function(){var t,e=B.l+B.w*b[O.title.align],r=h.titlePadding,n=f.bBox(K.node());return D?(z&&(t=O.gauge.axis.visible?f.bBox(Y.node()).top-r-n.bottom:B.t+B.h/2-U/2-n.bottom-r),R&&(t=E-(n.top+n.bottom)/2,e=B.l-h.bulletPadding*B.w)):t=O._numbersTop-r-n.bottom,l(e,t)}))}))}},50048:function(t,e,r){\"use strict\";var n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(52948),s=r(45464),l=r(92880).extendFlat,u=r(67824).overrideAll,c=t.exports=u(l({x:{valType:\"data_array\"},y:{valType:\"data_array\"},z:{valType:\"data_array\"},value:{valType:\"data_array\"},isomin:{valType:\"number\"},isomax:{valType:\"number\"},surface:{show:{valType:\"boolean\",dflt:!0},count:{valType:\"integer\",dflt:2,min:1},fill:{valType:\"number\",min:0,max:1,dflt:1},pattern:{valType:\"flaglist\",flags:[\"A\",\"B\",\"C\",\"D\",\"E\"],extras:[\"all\",\"odd\",\"even\"],dflt:\"all\"}},spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:.15}},slices:{x:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}},y:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}},z:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}}},caps:{x:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}},y:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}},z:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}}},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:a(),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),valuehoverformat:i(\"value\",1),showlegend:l({},s.showlegend,{dflt:!1})},n(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:o.opacity,lightposition:o.lightposition,lighting:o.lighting,flatshading:o.flatshading,contour:o.contour,hoverinfo:l({},s.hoverinfo)}),\"calc\",\"nested\");c.flatshading.dflt=!0,c.lighting.facenormalsepsilon.dflt=0,c.x.editType=c.y.editType=c.z.editType=c.value.editType=\"calc+clearAxisTypes\",c.transforms=void 0},62624:function(t,e,r){\"use strict\";var n=r(47128),i=r(3832).processGrid,a=r(3832).filter;t.exports=function(t,e){e._len=Math.min(e.x.length,e.y.length,e.z.length,e.value.length),e._x=a(e.x,e._len),e._y=a(e.y,e._len),e._z=a(e.z,e._len),e._value=a(e.value,e._len);var r=i(e);e._gridFill=r.fill,e._Xs=r.Xs,e._Ys=r.Ys,e._Zs=r.Zs,e._len=r.len;for(var o=1/0,s=-1/0,l=0;l0;r--){var n=Math.min(e[r],e[r-1]),i=Math.max(e[r],e[r-1]);if(i>n&&n-1}function R(t,e){return null===t?e:t}function F(e,r,n){C();var i,a,o,l=[r],u=[n];if(s>=1)l=[r],u=[n];else if(s>0){var c=function(t,e){var r=t[0],n=t[1],i=t[2],a=function(t,e,r){for(var n=[],i=0;i-1?n[p]:L(d,v,y);h[p]=x>-1?x:O(d,v,y,R(e,m))}i=h[0],a=h[1],o=h[2],t._meshI.push(i),t._meshJ.push(a),t._meshK.push(o),++g}}function B(t,e,r,n){var i=t[3];in&&(i=n);for(var a=(t[3]-i)/(t[3]-e[3]+1e-9),o=[],s=0;s<4;s++)o[s]=(1-a)*t[s]+a*e[s];return o}function N(t,e,r){return t>=e&&t<=r}function j(t){var e=.001*(E-S);return t>=S-e&&t<=E+e}function U(e){for(var r=[],n=0;n<4;n++){var i=e[n];r.push([t._x[i],t._y[i],t._z[i],t._value[i]])}return r}var V=3;function q(t,e,r,n,i,a){a||(a=1),r=[-1,-1,-1];var o=!1,s=[N(e[0][3],n,i),N(e[1][3],n,i),N(e[2][3],n,i)];if(!s[0]&&!s[1]&&!s[2])return!1;var l=function(t,e,r){return j(e[0][3])&&j(e[1][3])&&j(e[2][3])?(F(t,e,r),!0):aMath.abs(L-M)?[A,L]:[L,M];d=!0,Q(r,C[0],C[1]),d=!1}}var I=[[Math.min(S,M),Math.max(S,M)],[Math.min(A,E),Math.max(A,E)]];[\"x\",\"y\",\"z\"].forEach((function(r){for(var n=[],i=0;i0&&(f.push(d.id),\"x\"===r?h.push([d.distRatio,0,0]):\"y\"===r?h.push([0,d.distRatio,0]):h.push([0,0,d.distRatio]))}else c=nt(1,\"x\"===r?b-1:\"y\"===r?_-1:w-1);f.length>0&&(n[a]=\"x\"===r?tt(e,f,o,s,h,n[a]):\"y\"===r?et(e,f,o,s,h,n[a]):rt(e,f,o,s,h,n[a]),a++),c.length>0&&(n[a]=\"x\"===r?K(e,c,o,s,n[a]):\"y\"===r?J(e,c,o,s,n[a]):$(e,c,o,s,n[a]),a++)}var v=t.caps[r];v.show&&v.fill&&(D(v.fill),n[a]=\"x\"===r?K(e,[0,b-1],o,s,n[a]):\"y\"===r?J(e,[0,_-1],o,s,n[a]):$(e,[0,w-1],o,s,n[a]),a++)}})),0===g&&P(),t._meshX=n,t._meshY=i,t._meshZ=a,t._meshIntensity=o,t._Xs=y,t._Ys=m,t._Zs=x}(),t}t.exports={findNearestOnAxis:u,generateIsoMeshes:p,createIsosurfaceTrace:function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new c(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}}},70548:function(t,e,r){\"use strict\";var n=r(3400),i=r(24040),a=r(50048),o=r(27260);function s(t,e,r,n,a){var s=a(\"isomin\"),l=a(\"isomax\");null!=l&&null!=s&&s>l&&(e.isomin=null,e.isomax=null);var u=a(\"x\"),c=a(\"y\"),f=a(\"z\"),h=a(\"value\");u&&u.length&&c&&c.length&&f&&f.length&&h&&h.length?(i.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],n),a(\"valuehoverformat\"),[\"x\",\"y\",\"z\"].forEach((function(t){a(t+\"hoverformat\");var e=\"caps.\"+t;a(e+\".show\")&&a(e+\".fill\");var r=\"slices.\"+t;a(r+\".show\")&&(a(r+\".fill\"),a(r+\".locations\"))})),a(\"spaceframe.show\")&&a(\"spaceframe.fill\"),a(\"surface.show\")&&(a(\"surface.count\"),a(\"surface.fill\"),a(\"surface.pattern\")),a(\"contour.show\")&&(a(\"contour.color\"),a(\"contour.width\")),[\"text\",\"hovertext\",\"hovertemplate\",\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"opacity\"].forEach((function(t){a(t)})),o(t,e,n,a,{prefix:\"\",cLetter:\"c\"}),e._length=null):e.visible=!1}t.exports={supplyDefaults:function(t,e,r,i){s(t,e,0,i,(function(r,i){return n.coerce(t,e,a,r,i)}))},supplyIsoDefaults:s}},6296:function(t,e,r){\"use strict\";t.exports={attributes:r(50048),supplyDefaults:r(70548).supplyDefaults,calc:r(62624),colorbar:{min:\"cmin\",max:\"cmax\"},plot:r(31460).createIsosurfaceTrace,moduleType:\"trace\",name:\"isosurface\",basePlotModule:r(12536),categories:[\"gl3d\",\"showLegend\"],meta:{}}},52948:function(t,e,r){\"use strict\";var n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(16716),s=r(45464),l=r(92880).extendFlat;t.exports=l({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 0},n(\"\",{colorAttr:\"`intensity`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:o.opacity,flatshading:{valType:\"boolean\",dflt:!1,editType:\"calc\"},contour:{show:l({},o.contours.x.show,{}),color:o.contours.x.color,width:o.contours.x.width,editType:\"calc\"},lightposition:{x:l({},o.lightposition.x,{dflt:1e5}),y:l({},o.lightposition.y,{dflt:1e5}),z:l({},o.lightposition.z,{dflt:0}),editType:\"calc\"},lighting:l({vertexnormalsepsilon:{valType:\"number\",min:0,max:1,dflt:1e-12,editType:\"calc\"},facenormalsepsilon:{valType:\"number\",min:0,max:1,dflt:1e-6,editType:\"calc\"},editType:\"calc\"},o.lighting),hoverinfo:l({},s.hoverinfo,{editType:\"calc\"}),showlegend:l({},s.showlegend,{dflt:!1})})},1876:function(t,e,r){\"use strict\";var n=r(47128);t.exports=function(t,e){e.intensity&&n(t,e,{vals:e.intensity,containerStr:\"\",cLetter:\"c\"})}},576:function(t,e,r){\"use strict\";var n=r(67792).gl_mesh3d,i=r(67792).delaunay_triangulate,a=r(67792).alpha_shape,o=r(67792).convex_hull,s=r(33040).parseColorScale,l=r(3400).isArrayOrTypedArray,u=r(43080),c=r(8932).extractOpts,f=r(52094);function h(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var p=h.prototype;function d(t){for(var e=[],r=t.length,n=0;n=e-.5)return!1;return!0}p.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return l(r)&&void 0!==r[e]?t.textLabel=r[e]:r&&(t.textLabel=r),!0}},p.update=function(t){var e=this.scene,r=e.fullSceneLayout;this.data=t;var n,l=t.x.length,h=f(v(r.xaxis,t.x,e.dataScale[0],t.xcalendar),v(r.yaxis,t.y,e.dataScale[1],t.ycalendar),v(r.zaxis,t.z,e.dataScale[2],t.zcalendar));if(t.i&&t.j&&t.k){if(t.i.length!==t.j.length||t.j.length!==t.k.length||!y(t.i,l)||!y(t.j,l)||!y(t.k,l))return;n=f(g(t.i),g(t.j),g(t.k))}else n=0===t.alphahull?o(h):t.alphahull>0?a(t.alphahull,h):function(t,e){for(var r=[\"x\",\"y\",\"z\"].indexOf(t),n=[],a=e.length,o=0;oy):g=A>w,y=A;var M=u(w,T,k,A);M.pos=_,M.yc=(w+A)/2,M.i=b,M.dir=g?\"increasing\":\"decreasing\",M.x=M.pos,M.y=[k,T],m&&(M.orig_p=r[b]),d&&(M.tx=e.text[b]),v&&(M.htx=e.hovertext[b]),x.push(M)}else x.push({pos:_,empty:!0})}return e._extremes[l._id]=a.findExtremes(l,n.concat(h,f),{padded:!0}),x.length&&(x[0].t={labels:{open:i(t,\"open:\")+\" \",high:i(t,\"high:\")+\" \",low:i(t,\"low:\")+\" \",close:i(t,\"close:\")+\" \"}}),x}t.exports={calc:function(t,e){var r=a.getFromId(t,e.xaxis),i=a.getFromId(t,e.yaxis),s=function(t,e,r){var i=r._minDiff;if(!i){var a,s=t._fullData,l=[];for(i=1/0,a=0;a\"+u.labels[x]+n.hoverLabelText(s,b,l.yhoverformat):((m=i.extendFlat({},h)).y0=m.y1=_,m.yLabelVal=b,m.yLabel=u.labels[x]+n.hoverLabelText(s,b,l.yhoverformat),m.name=\"\",f.push(m),g[b]=m)}return f}function h(t,e,r,i){var a=t.cd,o=t.ya,l=a[0].trace,f=a[0].t,h=c(t,e,r,i);if(!h)return[];var p=a[h.index],d=h.index=p.i,v=p.dir;function g(t){return f.labels[t]+n.hoverLabelText(o,l[t][d],l.yhoverformat)}var y=p.hi||l.hoverinfo,m=y.split(\"+\"),x=\"all\"===y,b=x||-1!==m.indexOf(\"y\"),_=x||-1!==m.indexOf(\"text\"),w=b?[g(\"open\"),g(\"high\"),g(\"low\"),g(\"close\")+\"  \"+u[v]]:[];return _&&s(p,l,w),h.extraText=w.join(\"
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o=e.yaxis,s=e.xaxis,l=!!s.rangebreaks;i.makeTraceGroups(a,r,\"trace ohlc\").each((function(t){var e=n.select(this),r=t[0],a=r.t;if(!0!==r.trace.visible||a.empty)e.remove();else{var u=a.tickLen,c=e.selectAll(\"path\").data(i.identity);c.enter().append(\"path\"),c.exit().remove(),c.attr(\"d\",(function(t){if(t.empty)return\"M0,0Z\";var e=s.c2p(t.pos-u,!0),r=s.c2p(t.pos+u,!0),n=l?(e+r)/2:s.c2p(t.pos,!0);return\"M\"+e+\",\"+o.c2p(t.o,!0)+\"H\"+n+\"M\"+n+\",\"+o.c2p(t.h,!0)+\"V\"+o.c2p(t.l,!0)+\"M\"+r+\",\"+o.c2p(t.c,!0)+\"H\"+n}))}}))}},97384:function(t){\"use strict\";t.exports=function(t,e){var r,n=t.cd,i=t.xaxis,a=t.yaxis,o=[],s=n[0].t.bPos||0;if(!1===e)for(r=0;r=t.length)return!1;if(void 0!==e[t[r]])return!1;e[t[r]]=!0}return!0}(r))for(e=0;e0||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 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r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.brush.svgBrush;a.wasDragged=!0,a._dragging=!0,a.grabbingBar?a.newExtent=[r-a.grabPoint,r+a.barLength-a.grabPoint].map(e.unitToPaddedPx.invert):a.newExtent=[a.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,a.extent=a.stayingIntervals.concat([a.newExtent]),a.brushCallback(e),b(t.parentNode)}function T(t,e){var r=_(e,e.height-i.mouse(t)[1]-2*n.verticalPadding),a=\"crosshair\";r.clickableOrdinalRange?a=\"pointer\":r.region&&(a=r.region+\"-resize\"),i.select(document.body).style(\"cursor\",a)}function 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]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 s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}t.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return 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 u=t.selectAll(\".highlight\").data(o);u.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),u.attr(\"y1\",(function(t){return t.height})).call(x)}(i,e,r)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},61664:function(t,e,r){\"use strict\";t.exports={attributes:r(82296),supplyDefaults:r(60664),calc:r(95044),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:r(19976),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},19976:function(t,e,r){\"use strict\";var n=r(33428),i=r(84888)._M,a=r(24196),o=r(9616);e.name=\"parcoords\",e.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},e.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},e.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var 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;rf&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the moment\"),d.splice(f));var v=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var l=s(\"line.color\",r);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return 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 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U=j.selectAll(\".\"+x.cn.parcoordsControlView).data(g,v);U.enter().append(\"g\").classed(x.cn.parcoordsControlView,!0),U.attr(\"transform\",(function(t){return c(t.model.pad.l,t.model.pad.t)}));var V=U.selectAll(\".\"+x.cn.yAxis).data((function(t){return t.dimensions}),v);V.enter().append(\"g\").classed(x.cn.yAxis,!0),U.each((function(t){D(V,t,w)})),B.each((function(t){if(t.viewModel){!t.lineLayer||a?t.lineLayer=_(this,t):t.lineLayer.update(t),(t.key||0===t.key)&&(t.viewModel[t.key]=t.lineLayer);var e=!t.context||a;t.lineLayer.render(t.viewModel.panels,e)}})),V.attr(\"transform\",(function(t){return c(t.xScale(t.xIndex),0)})),V.call(n.behavior.drag().origin((function(t){return t})).on(\"drag\",(function(t){var e=t.parent;E.linePickActive(!1),t.x=Math.max(-x.overdrag,Math.min(t.model.width+x.overdrag,n.event.x)),t.canvasX=t.x*t.model.canvasPixelRatio,V.sort((function(t,e){return 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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=0})),(\"funnelarea\"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var u=0,c=0;c0){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\"),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;ie&&e>n||r=-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 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n={type:e.type,id:this.layerIds[t],source:this.sourceIds[t],layout:e.layout,paint:e.paint};e.filter&&(n.filter=e.filter);for(var i,a=this.layerIds[t],o=this.subplot.getMapLayers(),s=0;s=0;r--){var i=e[r];n.removeLayer(c.layerIds[i])}t||n.removeSource(c.sourceIds.circle)}(t):function(t){for(var e=o.nonCluster,r=e.length-1;r>=0;r--){var i=e[r];n.removeLayer(c.layerIds[i]),t||n.removeSource(c.sourceIds[i])}}(t)}function h(t){l?function(t){t||c.addSource(\"circle\",a.circle,e.cluster);for(var r=o.cluster,n=0;n=0;r--){var n=e[r];t.removeLayer(this.layerIds[n]),t.removeSource(this.sourceIds[n])}},t.exports=function(t,e){var r,n,a,l=e[0].trace,u=l.cluster&&l.cluster.enabled,c=!0!==l.visible,f=new s(t,l.uid,u,c),h=i(t.gd,e),p=f.below=t.belowLookup[\"trace-\"+l.uid];if(u)for(f.addSource(\"circle\",h.circle,l.cluster),r=0;r\")}}t.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index)return o;var l=t.subplot,u=s.cd[s.index],c=s.trace;if(l.isPtInside(u))return s.xLabelVal=void 0,s.yLabelVal=void 0,i(u,c,l,s),s.hovertemplate=c.hovertemplate,o}},makeHoverPointText:i}},76924:function(t,e,r){\"use strict\";t.exports={moduleType:\"trace\",name:\"scatterpolar\",basePlotModule:r(40872),categories:[\"polar\",\"symbols\",\"showLegend\",\"scatter-like\"],attributes:r(8319),supplyDefaults:r(85968).supplyDefaults,colorbar:r(5528),formatLabels:r(22852),calc:r(58320),plot:r(43456),style:r(49224).style,styleOnSelect:r(49224).styleOnSelect,hoverPoints:r(8504).hoverPoints,selectPoints:r(91560),meta:{}}},43456:function(t,e,r){\"use strict\";var n=r(96504),i=r(39032).BADNUM;t.exports=function(t,e,r){for(var 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n=r(38248),i=r(39032).BADNUM,a=r(90136),o=r(20148),s=r(4500),l=r(16356).calcMarkerSize;t.exports=function(t,e){for(var r=t._fullLayout,u=e.subplot,c=r[u].realaxis,f=r[u].imaginaryaxis,h=c.makeCalcdata(e,\"real\"),p=f.makeCalcdata(e,\"imag\"),d=e._length,v=new Array(d),g=0;g\")}}t.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index)return o;var l=t.subplot,u=s.cd[s.index],c=s.trace;if(l.isPtInside(u))return s.xLabelVal=void 0,s.yLabelVal=void 0,i(u,c,l,s),s.hovertemplate=c.hovertemplate,o}},makeHoverPointText:i}},95443:function(t,e,r){\"use 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i=r._fullLayout,a=r._fullData[d.index],s=n.select(this).datum();if(d._hasHoverEvent&&(e.originalEvent=n.event,r.emit(\"plotly_unhover\",{points:[f(s,a,h.eventDataKeys)],event:n.event}),d._hasHoverEvent=!1),d._hasHoverLabel&&(o.loneUnhover(i._hoverlayer.node()),d._hasHoverLabel=!1),y){var l=t.select(\"path.surface\");h.styleOne(l,s,a,r,{hovered:!1})}})),t.on(\"click\",(function(t){var e=r._fullLayout,a=r._fullData[d.index],s=g&&(u.isHierarchyRoot(t)||u.isLeaf(t)),c=u.getPtId(t),p=u.isEntry(t)?u.findEntryWithChild(v,c):u.findEntryWithLevel(v,c),y=u.getPtId(p),m={points:[f(t,a,h.eventDataKeys)],event:n.event};s||(m.nextLevel=y);var x=l.triggerHandler(r,\"plotly_\"+d.type+\"click\",m);if(!1!==x&&e.hovermode&&(r._hoverdata=[f(t,a,h.eventDataKeys)],o.click(r,n.event)),!s&&!1!==x&&!r._dragging&&!r._transitioning){i.call(\"_storeDirectGUIEdit\",a,e._tracePreGUI[a.uid],{level:a.level});var b={data:[{level:y}],traces:[d.index]},_={frame:{redraw:!1,duration:h.transitionTime},transition:{duration:h.transitionTime,easing:h.transitionEasing},mode:\"immediate\",fromcurrent:!0};o.loneUnhover(e._hoverlayer.node()),i.call(\"animate\",r,b,_)}}))}},78176:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(93972),o=r(69656);function s(t){return t.data.data.pid}e.findEntryWithLevel=function(t,r){var n;return r&&t.eachAfter((function(t){if(e.getPtId(t)===r)return n=t.copy()})),n||t},e.findEntryWithChild=function(t,r){var n;return t.eachAfter((function(t){for(var i=t.children||[],a=0;a0)},e.getMaxDepth=function(t){return t.maxdepth>=0?t.maxdepth:1/0},e.isHeader=function(t,r){return!(e.isLeaf(t)||t.depth===r._maxDepth-1)},e.getParent=function(t,r){return e.findEntryWithLevel(t,s(r))},e.listPath=function(t,r){var n=t.parent;if(!n)return[];var i=r?[n.data[r]]:[n];return e.listPath(n,r).concat(i)},e.getPath=function(t){return e.listPath(t,\"label\").join(\"/\")+\"/\"},e.formatValue=o.formatPieValue,e.formatPercent=function(t,e){var r=n.formatPercent(t,0);return\"0%\"===r&&(r=o.formatPiePercent(t,e)),r}},5621:function(t,e,r){\"use strict\";t.exports={moduleType:\"trace\",name:\"sunburst\",basePlotModule:r(54904),categories:[],animatable:!0,attributes:r(424),layoutAttributes:r(84920),supplyDefaults:r(25244),supplyLayoutDefaults:r(28732),calc:r(3776).calc,crossTraceCalc:r(3776).crossTraceCalc,plot:r(96488).plot,style:r(85676).style,colorbar:r(5528),meta:{}}},84920:function(t){\"use strict\";t.exports={sunburstcolorway:{valType:\"colorlist\",editType:\"calc\"},extendsunburstcolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},28732:function(t,e,r){\"use strict\";var n=r(3400),i=r(84920);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"sunburstcolorway\",e.colorway),r(\"extendsunburstcolors\")}},96488:function(t,e,r){\"use strict\";var n=r(33428),i=r(74148),a=r(67756).qy,o=r(43616),s=r(3400),l=r(72736),u=r(82744),c=u.recordMinTextSize,f=u.clearMinTextSize,h=r(37820),p=r(69656).getRotationAngle,d=h.computeTransform,v=h.transformInsideText,g=r(85676).styleOne,y=r(60100).resizeText,m=r(45716),x=r(27328),b=r(78176);function _(t,r,u,f){var h=t._context.staticPlot,y=t._fullLayout,_=!y.uniformtext.mode&&b.hasTransition(f),T=n.select(u).selectAll(\"g.slice\"),k=r[0],A=k.trace,M=k.hierarchy,S=b.findEntryWithLevel(M,A.level),E=b.getMaxDepth(A),L=y._size,C=A.domain,P=L.w*(C.x[1]-C.x[0]),O=L.h*(C.y[1]-C.y[0]),I=.5*Math.min(P,O),D=k.cx=L.l+L.w*(C.x[1]+C.x[0])/2,z=k.cy=L.t+L.h*(1-C.y[0])-O/2;if(!S)return T.remove();var R=null,F={};_&&T.each((function(t){F[b.getPtId(t)]={rpx0:t.rpx0,rpx1:t.rpx1,x0:t.x0,x1:t.x1,transform:t.transform},!R&&b.isEntry(t)&&(R=t)}));var B=function(t){return i.partition().size([2*Math.PI,t.height+1])(t)}(S).descendants(),N=S.height+1,j=0,U=E;k.hasMultipleRoots&&b.isHierarchyRoot(S)&&(B=B.slice(1),N-=1,j=1,U+=1),B=B.filter((function(t){return t.y1<=U}));var V=p(A.rotation);V&&B.forEach((function(t){t.x0+=V,t.x1+=V}));var q=Math.min(N,E),H=function(t){return(t-j)/q*I},G=function(t,e){return[t*Math.cos(e),-t*Math.sin(e)]},W=function(t){return s.pathAnnulus(t.rpx0,t.rpx1,t.x0,t.x1,D,z)},Y=function(t){return D+w(t)[0]*(t.transform.rCenter||0)+(t.transform.x||0)},X=function(t){return z+w(t)[1]*(t.transform.rCenter||0)+(t.transform.y||0)};(T=T.data(B,b.getPtId)).enter().append(\"g\").classed(\"slice\",!0),_?T.exit().transition().each((function(){var t=n.select(this);t.select(\"path.surface\").transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=b.getPtId(t),n=F[r],i=F[b.getPtId(S)];if(i){var o=(t.x1>i.x1?2*Math.PI:0)+V;e=t.rpx1Z?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,$(t));else e={rpx0:0,rpx1:0};else e={x0:V,x1:V};return a(e,n)}(t);return function(t){return W(e(t))}})):f.attr(\"d\",W),u.call(m,S,t,r,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(b.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),f.call(g,i,A,t);var p=s.ensureSingle(u,\"g\",\"slicetext\"),w=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),T=s.ensureUniformFontSize(t,b.determineTextFont(A,i,y.font));w.text(e.formatSliceLabel(i,S,A,r,y)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(o.font,T).call(l.convertToTspans,t);var M=o.bBox(w.node());i.transform=v(M,i,k),i.transform.targetX=Y(i),i.transform.targetY=X(i);var E=function(t,e){var r=t.transform;return d(r,e),r.fontSize=T.size,c(A.type,r,y),s.getTextTransform(r)};_?w.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},R)if(t.parent)if(Z){var i=t.x1>Z?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,$(t));else e.x0=e.x1=V;else e.x0=e.x1=V;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),u=a(e.x0,t.x0),f=a(e.x1,t.x1),h=a(e.transform.scale,n.scale),p=a(e.transform.rotate,n.rotate),d=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,v=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=u(t),i=f(t),a=function(t){return v(Math.pow(t,d))}(t),s={pxmid:G(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return c(A.type,n,y),{transform:{targetX:Y(s),targetY:X(s),scale:h(t),rotate:p(t),rCenter:a}}}}(t);return function(t){return E(e(t),M)}})):w.attr(\"transform\",E(i,M))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}e.plot=function(t,e,r,i){var 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(\"
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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 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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 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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 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t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i0&&(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<t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a>>26;for(;0!==i&&a>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;at.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>26,this.words[o]=67108863&e;for(;0!==a&&o>26,this.words[o]=67108863&e;if(0===a&&o>>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>>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>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o>>=1)i++;return 1<>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o>=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>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n=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>>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=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<o)for(this.length-=o,u=0;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<=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<=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>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i>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=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<>>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:it.length)return 1;if(this.length=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){ni&&(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=e0?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>>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>>=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 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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 r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),o=i;return i.cmp(this.m)>=0?o=i.isub(this.m):i.cmpn(0)<0&&(o=i.iadd(this.m)),o._forceRed(this)},k.prototype.invm=function(t){return 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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<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]E&&(w|=1<E&&(w|=1<u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<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< 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=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=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=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;nr)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=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;mo&&(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=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;g0){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 n=r(1950);t.exports=function(t){return n[t]}},3110:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var u=new s(e,r,o,l);return u.update(t),u};var n=r(5827),i=r(2944),a=r(7667),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function u(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return 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i=c[n],a=0;a0&&((p=c.slice())[s]+=d[1][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)))}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},7667: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, offset;\\nattribute vec4 color;\\nuniform mat4 model, view, projection;\\nuniform float capSize;\\nvarying vec4 fragColor;\\nvarying vec3 fragPosition;\\n\\nvoid main() {\\n  vec4 worldPosition  = model * vec4(position, 1.0);\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n  gl_Position         = projection * view * worldPosition;\\n  fragColor           = color;\\n  fragPosition        = position;\\n}\"]),o=n([\"precision 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 opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);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;ac||r<0||r>c)throw new Error(\"gl-fbo: Parameters are too large for FBO\");var f=1;if(\"color\"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(f>1){if(!u)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(f>t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+f+\" draw buffers\")}}var h=t.UNSIGNED_BYTE,p=t.getExtension(\"OES_texture_float\");if(n.float&&f>0){if(!p)throw new Error(\"gl-fbo: Context does not support floating point textures\");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var v=!0;\"depth\"in n&&(v=!!n.depth);var g=!1;return\"stencil\"in n&&(g=!!n.stencil),new d(t,e,r,h,f,v,g,u)};var i,a,o,s,l=null;function u(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error(\"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 d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d1&&s.drawBuffersWEBGL(l[o]);var 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;yi||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>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+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 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 i=[],a=[],o=[],s=0,c=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],v=t.lineWidth||1,g=!1;t:for(e=1;e0){for(var w=0;w<24;++w)i.push(i[i.length-12]);c+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],m=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=m=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===m.length&&(m=[m[0],m[1],m[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),x=Array.isArray(v)?v.length>e-1?v[e-1]:v.length>0?v[v.length-1]:[0,0,0,1]:v;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3]);c+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,m[0],m[1],m[2],m[3]),c+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=c,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e1.0001)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;rt&&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;l0&&((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;ai[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],ki[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=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=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;rMath.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;n0&&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;tx.distance)continue;for(var u=0;u 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>>1;for(r=0;r=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+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 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=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;n0){var I=0,D=x,z=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(y)&&Array.isArray(y[0]);t:for(n=0;n<_;++n){for(m+=1,w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),c[T]=Math.min(c[T],w[T])}k=(N=P(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n0?1-M[0][0]:W<0?1+M[1][0]:1,Y*=Y>0?1-M[0][1]:Y<0?1+M[1][1]:1],Z=k.cells||[],K=k.positions||[];for(T=0;T0){var y=r*c;o.drawBox(f-y,h-y,p+y,h+y,a),o.drawBox(f-y,d-y,p+y,d+y,a),o.drawBox(f-y,h-y,f+y,d+y,a),o.drawBox(p-y,h-y,p+y,d+y,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},2611:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=e[0],a=e[1];return new l(t,n(t,r,a,{}),i.mallocUint8(r*a*4))};var n=r(4234),i=r(5306),a=r(5050),o=r(2288).nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var u=l.prototype;Object.defineProperty(u,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;ar)for(t=r;te)for(t=e;t=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),A=0;A=0;)M+=1;_[m]=M}var S=new Array(r.length);function E(){h.program=o.program(p,h._vref,h._fref,b,_);for(var t=0;t=0){if((d=h.charCodeAt(h.length-1)-48)<2||d>4)throw new n(\"\",\"Invalid data type for attribute \"+f+\": \"+h);s(t,e,p[0],i,d,a,f)}else{if(!(h.indexOf(\"mat\")>=0))throw new n(\"\",\"Unknown data type for attribute \"+f+\": \"+h);var d;if((d=h.charCodeAt(h.length-1)-48)<2||d>4)throw new n(\"\",\"Invalid data type for attribute \"+f+\": 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0===r.length?t.vertexAttrib4f(e,r,n,i,a):t.vertexAttrib4fv(e,r)}];function s(t,e,r,n,a,s,l){var u=o[a],c=new i(t,e,r,n,a,u);Object.defineProperty(s,l,{set:function(e){return t.disableVertexAttribArray(n[r]),u(t,n[r],e),e},get:function(){return c},enumerable:!0})}function l(t,e,r,n,i,a,o){for(var l=new Array(i),u=new Array(i),c=0;c4)throw new i(\"\",\"Invalid uniform dimension type for matrix \"+name+\": \"+m);t[\"uniformMatrix\"+y+\"fv\"](s[f],!1,h);break}throw new i(\"\",\"Unknown uniform data type for \"+name+\": \"+m)}if((y=m.charCodeAt(m.length-1)-48)<2||y>4)throw new i(\"\",\"Invalid data type\");switch(m.charAt(0)){case\"b\":case\"i\":t[\"uniform\"+y+\"iv\"](s[f],h);break;case\"v\":t[\"uniform\"+y+\"fv\"](s[f],h);break;default:throw new i(\"\",\"Unrecognized data type for vector \"+name+\": \"+m)}}}}}}function u(t,e){if(\"object\"!=typeof e)return[[t,e]];var r=[];for(var n in e){var i=e[n],a=t;parseInt(n)+\"\"===n?a+=\"[\"+n+\"]\":a+=\".\"+n,\"object\"==typeof 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a||(a[s[0]]=[]),a=a[s[0]];for(var l=1;l1)for(var l=0;l 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 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 * 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 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;re)return r-1}return r},s=function(t,e,r){return tr?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;nf-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!(eb||r_||nw)},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;uS&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.lengthA&&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;s0)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 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;rt&&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>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]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;y0){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;es||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 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6:c.push([t-.5-.25*(-n-r+a+i)/(n-r+i-a),e-.5-.25*(-i-r+a+n)/(i-r+n-a)]);break;case 7:c.push([t-.75-.25*(a+i-2*h)/(i-a),e-.75-.25*(a+n-2*h)/(n-a)]);break;case 8:c.push([t-.75-.25*(-a-i+2*h)/(a-i),e-.75-.25*(-a-n+2*h)/(a-n)]);break;case 9:c.push([t-.5-.25*(n+r+-a-i)/(r-n+a-i),e-.5-.25*(i+r+-a-n)/(r-i+a-n)]);break;case 10:c.push([t-.5-.5*(-n-r-a-i+4*h)/(n-r+a-i),e-.5]);break;case 11:c.push([t-.25-.25*(-a-i+2*h)/(a-i),e-.75-.25*(i+r-2*h)/(r-i)]);break;case 12:c.push([t-.5,e-.5-.5*(-i-r-a-n+4*h)/(i-r+a-n)]);break;case 13:c.push([t-.75-.25*(n+r-2*h)/(r-n),e-.25-.25*(-a-n+2*h)/(a-n)]);break;case 14:c.push([t-.25-.25*(-n-r+2*h)/(n-r),e-.25-.25*(-i-r+2*h)/(i-r)])}},cell:function(t,e,r,n,i,a,o,s,l){i?s.push([t,e]):s.push([e,t])}});return function(t,e){var r=[],i=[];return n(t,r,i,e),{positions:r,cells:i}}}},o={}},6946:function(t,e,r){\"use strict\";t.exports=function t(e,r,i){i=i||{};var a=o[e];a||(a=o[e]={\" \":{data:new Float32Array(0),shape:.2}});var 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p=h.prototype;p.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},p.getDistanceLimits=function(t){var e=this.radius.bounds[0];return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},p.recalcMatrix=function(t){this.center.curve(t),this.up.curve(t),this.right.curve(t),this.radius.curve(t),this.angle.curve(t);for(var e=this.computedUp,r=this.computedRight,n=0,i=0,a=0;a<3;++a)i+=e[a]*r[a],n+=e[a]*e[a];var l=Math.sqrt(n),c=0;for(a=0;a<3;++a)r[a]-=e[a]*i/n,c+=r[a]*r[a],e[a]/=l;var f=Math.sqrt(c);for(a=0;a<3;++a)r[a]/=f;var h=this.computedToward;o(h,e,r),s(h,h);var p=Math.exp(this.computedRadius[0]),d=this.computedAngle[0],v=this.computedAngle[1],g=Math.cos(d),y=Math.sin(d),m=Math.cos(v),x=Math.sin(v),b=this.computedCenter,_=g*m,w=y*m,T=x,k=-g*x,A=-y*x,M=m,S=this.computedEye,E=this.computedMatrix;for(a=0;a<3;++a){var L=_*r[a]+w*h[a]+T*e[a];E[4*a+1]=k*r[a]+A*h[a]+M*e[a],E[4*a+2]=L,E[4*a+3]=0}var C=E[1],P=E[5],O=E[9],I=E[2],D=E[6],z=E[10],R=P*z-O*D,F=O*I-C*z,B=C*D-P*I,N=u(R,F,B);for(R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B,a=0;a<3;++a)S[a]=b[a]+E[2+4*a]*p;for(a=0;a<3;++a){c=0;for(var j=0;j<3;++j)c+=E[a+4*j]*S[j];E[12+a]=-c}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,u=0;u<3;++u)i[4*u]=o[u],i[4*u+1]=s[u],i[4*u+2]=l[u];for(a(i,i,n,d),u=0;u<3;++u)o[u]=i[4*u],s[u]=i[4*u+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},p.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=u(a,o,s);a/=l,o/=l,s/=l;var c=i[0],f=i[4],h=i[8],p=c*a+f*o+h*s,d=u(c-=a*p,f-=o*p,h-=s*p),v=(c/=d)*e+a*r,g=(f/=d)*e+o*r,y=(h/=d)*e+s*r;this.center.move(t,v,g,y);var m=Math.exp(this.computedRadius[0]);m=Math.max(1e-4,m+n),this.radius.set(t,Math.log(m))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;\"number\"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),v=Math.max(h,p,d);h===v?(s=s<0?-1:1,l=f=0):d===v?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var g=u(s,l,f);s/=g,l/=g,f/=g}var y,m,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=u(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=u(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,H,G,W),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,O=E*k+L*A+C*M;y=R<0?-Math.PI/2:Math.PI/2,m=Math.atan2(O,P)}else{var I=e[2],D=e[6],z=e[10],R=I*s+D*l+z*f,F=I*x+D*b+z*_,B=I*k+D*A+z*M;y=Math.asin(c(R)),m=Math.atan2(B,F)}this.angle.jump(t,m,y),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;i(V,e);var q=V[15],H=V[12]/q,G=V[13]/q,W=V[14]/q,Y=Math.exp(this.computedRadius[0]);this.center.jump(t,H-N*Y,G-j*Y,W-U*Y)},p.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},p.idle=function(t){this.center.idle(t),this.up.idle(t),this.right.idle(t),this.radius.idle(t),this.angle.idle(t)},p.flush=function(t){this.center.flush(t),this.up.flush(t),this.right.flush(t),this.radius.flush(t),this.angle.flush(t)},p.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},p.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||this.computedCenter;var 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e=1;e\"===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,'\"$type\" cannot be use with operator \"'+e[0]+'\"'));case\"==\":case\"!=\":3!==e.length&&a.push(new Bt(r,e,'filter array for operator \"'+e[0]+'\" must have 3 elements'));case\"in\":case\"!in\":e.length>=2&&\"string\"!==(n=Qr(e[1]))&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));for(var o=2;o=c[p+0]&&n>=c[p+1])?(o[h]=!0,a.push(u[h])):o[h]=!1}}},ri.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToCellCoord(t),u=this._convertToCellCoord(e),c=this._convertToCellCoord(r),f=this._convertToCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.d*p+h;if((!s||s(this._convertFromCellCoord(h),this._convertFromCellCoord(p),this._convertFromCellCoord(h+1),this._convertFromCellCoord(p+1)))&&i.call(this,t,e,r,n,d,a,o,s))return}},ri.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},ri.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},ri.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=ei+this.cells.length+1+1,r=0,n=0;n=0)){var f=t[c];u[c]=ai[l].shallow.indexOf(c)>=0?f:ci(f,e)}t instanceof Error&&(u.message=t.message)}if(u.$name)throw new Error(\"$name property is reserved for worker serialization logic.\");return\"Object\"!==l&&(u.$name=l),u}throw new Error(\"can't serialize object of type \"+typeof t)}function 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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=o.content;x=ju(h,0,S[0]),_=ju(p,0,S[1]),b=ju(h,S[0],S[2]),w=ju(p,S[1],S[3]),T=S[0]-x,A=S[1]-_,k=S[2]-S[0]-b,M=S[3]-S[1]-w}var E=function(n,i,l,u){var h=Vu(n.stretch-x,b,c,t.left),p=qu(n.fixed-T,k,n.stretch,v),d=Vu(i.stretch-_,w,f,t.top),y=qu(i.fixed-A,M,i.stretch,g),m=Vu(l.stretch-x,b,c,t.left),S=qu(l.fixed-T,k,l.stretch,v),E=Vu(u.stretch-_,w,f,t.top),L=qu(u.fixed-A,M,u.stretch,g),C=new a(h,d),P=new a(m,d),O=new a(m,E),I=new a(h,E),D=new a(p/s,y/s),z=new a(S/s,L/s),R=e*Math.PI/180;if(R){var F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];C._matMult(N),P._matMult(N),I._matMult(N),O._matMult(N)}var j=n.stretch+n.fixed,U=l.stretch+l.fixed,V=i.stretch+i.fixed,q=u.stretch+u.fixed;return{tl:C,tr:P,bl:I,br:O,tex:{x:o.paddedRect.x+Bu+j,y:o.paddedRect.y+Bu+V,w:U-j,h:q-V},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:D,pixelOffsetBR:z,minFontScaleX:k/s/c,minFontScaleY:M/s/f,isSDF:r}};if(n&&(o.stretchX||o.stretchY))for(var L=Uu(h,y,v),C=Uu(p,m,g),P=0;P0&&(d=Math.max(10,d),this.circleDiameter=d)}else{var v=o.top*s-l,g=o.bottom*s+l,y=o.left*s-l,m=o.right*s+l,x=o.collisionPadding;if(x&&(y-=x[0]*s,v-=x[1]*s,m+=x[2]*s,g+=x[3]*s),c){var b=new a(y,v),_=new a(m,v),w=new a(y,g),T=new a(m,g),k=c*Math.PI/180;b._rotate(k),_._rotate(k),w._rotate(k),T._rotate(k),y=Math.min(b.x,_.x,w.x,T.x),m=Math.max(b.x,_.x,w.x,T.x),v=Math.min(b.y,_.y,w.y,T.y),g=Math.max(b.y,_.y,w.y,T.y)}t.emplaceBack(e.x,e.y,y,v,m,g,r,n,i)}this.boxEndIndex=t.length},Gu=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=Wu),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function Wu(t,e){return te?1:0}function Yu(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,i=1/0,o=-1/0,s=-1/0,l=t[0],u=0;uo)&&(o=c.x),(!u||c.y>s)&&(s=c.y)}var f=o-n,h=s-i,p=Math.min(f,h),d=p/2,v=new Gu([],Xu);if(0===p)return new a(n,i);for(var g=n;gm.d||!m.d)&&(m=b,r&&console.log(\"found best %d 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i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n},Gu.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,i=e[t];t=0)break;e[t]=o,t=a}e[t]=i};var Ku=7,Ju=Number.POSITIVE_INFINITY;function $u(t,e){return e[1]!==Ju?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case\"top-right\":case\"top-left\":case\"top\":i=r-Ku;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=-r+Ku}switch(t){case\"top-right\":case\"bottom-right\":case\"right\":n=-e;break;case\"top-left\":case\"bottom-left\":case\"left\":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case\"top-right\":case\"top-left\":n=i-Ku;break;case\"bottom-right\":case\"bottom-left\":n=-i+Ku;break;case\"bottom\":n=-e+Ku;break;case\"top\":n=e-Ku}switch(t){case\"top-right\":case\"bottom-right\":r=-i;break;case\"top-left\":case\"bottom-left\":r=i;break;case\"left\":r=e;break;case\"right\":r=-e}return[r,n]}(t,e[0])}function Qu(t){switch(t){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}var tc=255,ec=tc*Au;function rc(t,e,r,n,i,o,s,l,u,c,f,h,p,d,v){var g=function(t,e,r,n,i,o,s,l){for(var u=n.layout.get(\"text-rotate\").evaluate(o,{})*Math.PI/180,c=[],f=0,h=e.positionedLines;fec&&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=0;o--)if(n.dist(a[o])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=0;for(var I=0,D=k.sections;I=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;l0},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;i1||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=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\",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(\"\"===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(\"\"===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:\"\",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: , lat: }, an object {lon: , lat: }, or an array of [, ]\")};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<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>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.wrapt.wrap)&&(this.overscaledZt.overscaledZ)&&(this.canonical.xt.canonical.x)&&this.canonical.y=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=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=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=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;yn)i=!1;else if(e)if(this.expirationTimeht&&(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 Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Fo(9);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Fo(4);return Fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=fn,t.createLayout=ta,t.createStyleLayer=function(t){return\"custom\"===t.type?new _c(t):new wc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=er,t.offscreenCanvasSupported=bt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t},t.parseGlyphPBF=function(t){return new Ol(t).readFields(Ql,[])},t.pbf=Ol,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=po/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,u=t.layers[0]._unevaluatedLayout._values,c={};if(\"composite\"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;c.compositeTextSizes=[u[\"text-size\"].possiblyEvaluate(new Di(h),o),u[\"text-size\"].possiblyEvaluate(new Di(p),o)]}if(\"composite\"===t.iconSizeData.kind){var d=t.iconSizeData,v=d.minZoom,g=d.maxZoom;c.compositeIconSizes=[u[\"icon-size\"].possiblyEvaluate(new Di(v),o),u[\"icon-size\"].possiblyEvaluate(new Di(g),o)]}c.layoutTextSize=u[\"text-size\"].possiblyEvaluate(new Di(t.zoom+1),o),c.layoutIconSize=u[\"icon-size\"].possiblyEvaluate(new Di(t.zoom+1),o),c.textMaxSize=u[\"text-size\"].possiblyEvaluate(new Di(18));for(var y=l.get(\"text-line-height\")*Ll,m=\"map\"===l.get(\"text-rotation-alignment\")&&\"point\"!==l.get(\"symbol-placement\"),x=l.get(\"text-keep-upright\"),b=l.get(\"text-size\"),_=function(){var a=T[w],s=l.get(\"text-font\").evaluate(a,{},o).join(\",\"),u=b.evaluate(a,{},o),f=c.layoutTextSize.evaluate(a,{},o),h=c.layoutIconSize.evaluate(a,{},o),p={horizontal:{},vertical:void 0},d=a.text,v=[0,0];if(d){var g=d.toString(),_=l.get(\"text-letter-spacing\").evaluate(a,{},o)*Ll,A=function(t){for(var e=0,r=t;e=po||f.y<0||f.y>=po||function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,A){var M,S,E,L,C,P=t.addToLineVertexArray(e,r),O=0,I=0,D=0,z=0,R=-1,F=-1,B={},N=ja(\"\"),j=0,U=0;if(void 0===s._unevaluatedLayout.getValue(\"text-radial-offset\")?(j=(M=s.layout.get(\"text-offset\").evaluate(b,{},T).map((function(t){return t*Ll})))[0],U=M[1]):(j=s.layout.get(\"text-radial-offset\").evaluate(b,{},T)*Ll,U=Ju),t.allowVerticalPlacement&&n.vertical){var V=s.layout.get(\"text-rotate\").evaluate(b,{},T)+90,q=n.vertical;L=new Hu(l,e,u,c,f,q,h,p,d,V),o&&(C=new Hu(l,e,u,c,f,o,g,y,d,V))}if(i){var H=s.layout.get(\"icon-rotate\").evaluate(b,{}),G=\"none\"!==s.layout.get(\"icon-text-fit\"),W=Nu(i,H,w,G),Y=o?Nu(o,H,w,G):void 0;E=new Hu(l,e,u,c,f,i,g,y,!1,H),O=4*W.length;var X=t.iconSizeData,Z=null;\"source\"===X.kind?(Z=[Au*s.layout.get(\"icon-size\").evaluate(b,{})])[0]>ec&&k(t.layerIds[0]+': Value for \"icon-size\" is >= '+tc+'. Reduce your \"icon-size\".'):\"composite\"===X.kind&&((Z=[Au*_.compositeIconSizes[0].evaluate(b,{},T),Au*_.compositeIconSizes[1].evaluate(b,{},T)])[0]>ec||Z[1]>ec)&&k(t.layerIds[0]+': Value for \"icon-size\" is >= '+tc+'. Reduce your \"icon-size\".'),t.addSymbols(t.icon,W,Z,x,m,b,!1,e,P.lineStartIndex,P.lineLength,-1,T),R=t.icon.placedSymbolArray.length-1,Y&&(I=4*Y.length,t.addSymbols(t.icon,Y,Z,x,m,b,lu.vertical,e,P.lineStartIndex,P.lineLength,-1,T),F=t.icon.placedSymbolArray.length-1)}for(var K in n.horizontal){var J=n.horizontal[K];if(!S){N=ja(J.text);var $=s.layout.get(\"text-rotate\").evaluate(b,{},T);S=new Hu(l,e,u,c,f,J,h,p,d,$)}var Q=1===J.positionedLines.length;if(D+=rc(t,e,J,a,s,d,b,v,P,n.vertical?lu.horizontal:lu.horizontalOnly,Q?Object.keys(n.horizontal):[K],B,R,_,T),Q)break}n.vertical&&(z+=rc(t,e,n.vertical,a,s,d,b,v,P,lu.vertical,[\"vertical\"],B,F,_,T));var tt=S?S.boxStartIndex:t.collisionBoxArray.length,et=S?S.boxEndIndex:t.collisionBoxArray.length,rt=L?L.boxStartIndex:t.collisionBoxArray.length,nt=L?L.boxEndIndex:t.collisionBoxArray.length,it=E?E.boxStartIndex:t.collisionBoxArray.length,at=E?E.boxEndIndex:t.collisionBoxArray.length,ot=C?C.boxStartIndex:t.collisionBoxArray.length,st=C?C.boxEndIndex:t.collisionBoxArray.length,lt=-1,ut=function(t,e){return t&&t.circleDiameter?Math.max(t.circleDiameter,e):e};lt=ut(S,lt),lt=ut(L,lt),lt=ut(E,lt);var ct=(lt=ut(C,lt))>-1?1:0;ct&&(lt*=A/Ll),t.glyphOffsetArray.length>=hc.MAX_GLYPHS&&k(\"Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\"),void 0!==b.sortKey&&t.addToSortKeyRanges(t.symbolInstances.length,b.sortKey),t.symbolInstances.emplaceBack(e.x,e.y,B.right>=0?B.right:-1,B.center>=0?B.center:-1,B.left>=0?B.left:-1,B.vertical||-1,R,F,N,tt,et,rt,nt,it,at,ot,st,u,D,z,O,I,ct,0,h,j,U,lt)}(t,f,s,r,n,i,h,t.layers[0],t.collisionBoxArray,e.index,e.sourceLayerIndex,t.index,m,w,M,l,b,T,S,d,e,a,u,c,o)};if(\"line\"===E)for(var O=0,I=Fu(e.geometry,0,0,po,po);O1){var U=Du(j,A,r.vertical||v,n,g,x);U&&P(j,U)}}else if(\"Polygon\"===e.type)for(var V=0,q=Fs(e.geometry,0);V=E.maxzoom||\"none\"!==E.visibility&&(o(S,this.zoom,n),(v[E.id]=E.createBucket({index:c.bucketLayerIDs.length,layers:S,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:b,sourceID:this.source})).populate(_,g,this.tileID.canonical),c.bucketLayerIDs.push(S.map((function(t){return t.id}))))}}}var L=t.mapObject(g.glyphDependencies,(function(t){return Object.keys(t).map(Number)}));Object.keys(L).length?a.send(\"getGlyphs\",{uid:this.uid,stacks:L},(function(t,e){f||(f=t,h=e,O.call(l))})):h={};var C=Object.keys(g.iconDependencies);C.length?a.send(\"getImages\",{icons:C,source:this.source,tileID:this.tileID,type:\"icons\"},(function(t,e){f||(f=t,p=e,O.call(l))})):p={};var P=Object.keys(g.patternDependencies);function O(){if(f)return s(f);if(h&&p&&d){var e=new i(h),r=new t.ImageAtlas(p,d);for(var a in v){var l=v[a];l instanceof t.SymbolBucket?(o(l.layers,this.zoom,n),t.performSymbolLayout(l,h,e.positions,p,r.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):l.hasPattern&&(l instanceof t.LineBucket||l instanceof t.FillBucket||l instanceof t.FillExtrusionBucket)&&(o(l.layers,this.zoom,n),l.addFeatures(g,this.tileID.canonical,r.patternPositions))}this.status=\"done\",s(null,{buckets:t.values(v).filter((function(t){return!t.isEmpty()})),featureIndex:c,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:e.image,imageAtlas:r,glyphMap:this.returnDependencies?h:null,iconMap:this.returnDependencies?p:null,glyphPositions:this.returnDependencies?e.positions:null})}}P.length?a.send(\"getImages\",{icons:P,source:this.source,tileID:this.tileID,type:\"patterns\"},(function(t,e){f||(f=t,d=e,O.call(l))})):d={},O.call(this)};var l=function(t,e,r,n){this.actor=t,this.layerIndex=e,this.availableImages=r,this.loadVectorData=n||s,this.loading={},this.loaded={}};l.prototype.loadTile=function(e,r){var n=this,i=e.uid;this.loading||(this.loading={});var o=!!(e&&e.request&&e.request.collectResourceTiming)&&new t.RequestPerformance(e.request),s=this.loading[i]=new a(e);s.abort=this.loadVectorData(e,(function(e,a){if(delete n.loading[i],e||!a)return s.status=\"done\",n.loaded[i]=s,r(e);var l=a.rawData,u={};a.expires&&(u.expires=a.expires),a.cacheControl&&(u.cacheControl=a.cacheControl);var c={};if(o){var f=o.finish();f&&(c.resourceTiming=JSON.parse(JSON.stringify(f)))}s.vectorTile=a.vectorTile,s.parse(a.vectorTile,n.layerIndex,n.availableImages,n.actor,(function(e,n){if(e||!n)return r(e);r(null,t.extend({rawTileData:l.slice(0)},n,u,c))})),n.loaded=n.loaded||{},n.loaded[i]=s}))},l.prototype.reloadTile=function(t,e){var r=this,n=this.loaded,i=t.uid,a=this;if(n&&n[i]){var o=n[i];o.showCollisionBoxes=t.showCollisionBoxes;var s=function(t,n){var i=o.reloadCallback;i&&(delete o.reloadCallback,o.parse(o.vectorTile,a.layerIndex,r.availableImages,a.actor,i)),e(t,n)};\"parsing\"===o.status?o.reloadCallback=s:\"done\"===o.status&&(o.vectorTile?o.parse(o.vectorTile,this.layerIndex,this.availableImages,this.actor,s):s())}},l.prototype.abortTile=function(t,e){var r=this.loading,n=t.uid;r&&r[n]&&r[n].abort&&(r[n].abort(),delete r[n]),e()},l.prototype.removeTile=function(t,e){var r=this.loaded,n=t.uid;r&&r[n]&&delete r[n],e()};var u=t.window.ImageBitmap,c=function(){this.loaded={}};c.prototype.loadTile=function(e,r){var n=e.uid,i=e.encoding,a=e.rawImageData,o=u&&a instanceof u?this.getImageData(a):a,s=new t.DEMData(n,o,i);this.loaded=this.loaded||{},this.loaded[n]=s,r(null,s)},c.prototype.getImageData=function(e){this.offscreenCanvas&&this.offscreenCanvasContext||(this.offscreenCanvas=new OffscreenCanvas(e.width,e.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext(\"2d\")),this.offscreenCanvas.width=e.width,this.offscreenCanvas.height=e.height,this.offscreenCanvasContext.drawImage(e,0,0,e.width,e.height);var r=this.offscreenCanvasContext.getImageData(-1,-1,e.width+2,e.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new t.RGBAImage({width:r.width,height:r.height},r.data)},c.prototype.removeTile=function(t){var e=this.loaded,r=t.uid;e&&e[r]&&delete e[r]};var f=function t(e,r){var n,i=e&&e.type;if(\"FeatureCollection\"===i)for(n=0;n=0!=!!e&&t.reverse()}var d=t.vectorTile.VectorTileFeature.prototype.toGeoJSON,v=function(e){this._feature=e,this.extent=t.EXTENT,this.type=e.type,this.properties=e.tags,\"id\"in e&&!isNaN(e.id)&&(this.id=parseInt(e.id,10))};v.prototype.loadGeometry=function(){if(1===this._feature.type){for(var e=[],r=0,n=this._feature.geometry;r>31}function P(t,e){for(var r=t.loadGeometry(),n=t.type,i=0,a=0,o=r.length,s=0;s>1;D(t,e,o,n,i,a%2),I(t,e,r,n,o-1,a+1),I(t,e,r,o+1,i,a+1)}}function D(t,e,r,n,i,a){for(;i>n;){if(i-n>600){var o=i-n+1,s=r-n+1,l=Math.log(o),u=.5*Math.exp(2*l/3),c=.5*Math.sqrt(l*u*(o-u)/o)*(s-o/2<0?-1:1);D(t,e,r,Math.max(n,Math.floor(r-s*u/o+c)),Math.min(i,Math.floor(r+(o-s)*u/o+c)),a)}var f=e[2*r+a],h=n,p=i;for(z(t,e,n,r),e[2*i+a]>f&&z(t,e,n,i);hf;)p--}e[2*n+a]===f?z(t,e,n,p):z(t,e,++p,i),p<=r&&(n=p+1),r<=p&&(i=p-1)}}function z(t,e,r,n){R(t,r,n),R(e,2*r,2*n),R(e,2*r+1,2*n+1)}function R(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}function F(t,e,r,n){var i=t-r,a=e-n;return i*i+a*a}_.fromVectorTileJs=w,_.fromGeojsonVt=T,_.GeoJSONWrapper=k;var B=function(t){return t[0]},N=function(t){return t[1]},j=function(t,e,r,n,i){void 0===e&&(e=B),void 0===r&&(r=N),void 0===n&&(n=64),void 0===i&&(i=Float64Array),this.nodeSize=n,this.points=t;for(var a=t.length<65536?Uint16Array:Uint32Array,o=this.ids=new a(t.length),s=this.coords=new i(2*t.length),l=0;l=r&&s<=i&&l>=n&&l<=a&&c.push(t[d]);else{var v=Math.floor((p+h)/2);s=e[2*v],l=e[2*v+1],s>=r&&s<=i&&l>=n&&l<=a&&c.push(t[v]);var g=(f+1)%2;(0===f?r<=s:n<=l)&&(u.push(p),u.push(v-1),u.push(g)),(0===f?i>=s:a>=l)&&(u.push(v+1),u.push(h),u.push(g))}}return c}(this.ids,this.coords,t,e,r,n,this.nodeSize)},j.prototype.within=function(t,e,r){return function(t,e,r,n,i,a){for(var o=[0,t.length-1,0],s=[],l=i*i;o.length;){var u=o.pop(),c=o.pop(),f=o.pop();if(c-f<=a)for(var h=f;h<=c;h++)F(e[2*h],e[2*h+1],r,n)<=l&&s.push(t[h]);else{var p=Math.floor((f+c)/2),d=e[2*p],v=e[2*p+1];F(d,v,r,n)<=l&&s.push(t[p]);var g=(u+1)%2;(0===u?r-i<=d:n-i<=v)&&(o.push(f),o.push(p-1),o.push(g)),(0===u?r+i>=d:n+i>=v)&&(o.push(p+1),o.push(c),o.push(g))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var U={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},V=function(t){this.options=Z(Object.create(U),t),this.trees=new Array(this.options.maxZoom+1)};function q(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function H(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:X(i),zoom:1/0,index:e,parentId:-1}}function G(t){return{type:\"Feature\",id:t.id,properties:W(t),geometry:{type:\"Point\",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function W(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+\"k\":e>=1e3?Math.round(e/100)/10+\"k\":e;return Z(Z({},t.properties),{cluster:!0,cluster_id:t.id,point_count:e,point_count_abbreviated:r})}function Y(t){return t/360+.5}function X(t){var e=Math.sin(t*Math.PI/180),r=.5-.25*Math.log((1+e)/(1-e))/Math.PI;return r<0?0:r>1?1:r}function Z(t,e){for(var r in e)t[r]=e[r];return t}function K(t){return t.x}function J(t){return t.y}function $(t,e,r,n){for(var i,a=n,o=r-e>>1,s=r-e,l=t[e],u=t[e+1],c=t[r],f=t[r+1],h=e+3;ha)i=h,a=p;else if(p===a){var d=Math.abs(h-o);dn&&(i-e>3&&$(t,e,i,n),t[i+2]=a,r-i>3&&$(t,i,r,n))}function Q(t,e,r,n,i,a){var o=i-r,s=a-n;if(0!==o||0!==s){var l=((t-r)*o+(e-n)*s)/(o*o+s*s);l>1?(r=i,n=a):l>0&&(r+=o*l,n+=s*l)}return(o=t-r)*o+(s=e-n)*s}function tt(t,e,r,n){var i={id:void 0===t?null:t,type:e,geometry:r,tags:n,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};return function(t){var e=t.geometry,r=t.type;if(\"Point\"===r||\"MultiPoint\"===r||\"LineString\"===r)et(t,e);else if(\"Polygon\"===r||\"MultiLineString\"===r)for(var n=0;n0&&(o+=n?(i*u-l*a)/2:Math.sqrt(Math.pow(l-i,2)+Math.pow(u-a,2))),i=l,a=u}var c=e.length-3;e[2]=1,$(e,0,c,r),e[c+2]=1,e.size=Math.abs(o),e.start=0,e.end=e.size}function at(t,e,r,n){for(var i=0;i1?1:r}function lt(t,e,r,n,i,a,o,s){if(n/=e,a>=(r/=e)&&o=n)return null;for(var l=[],u=0;u=r&&d=n)){var v=[];if(\"Point\"===h||\"MultiPoint\"===h)ut(f,v,r,n,i);else if(\"LineString\"===h)ct(f,v,r,n,i,!1,s.lineMetrics);else if(\"MultiLineString\"===h)ht(f,v,r,n,i,!1);else if(\"Polygon\"===h)ht(f,v,r,n,i,!0);else if(\"MultiPolygon\"===h)for(var g=0;g=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function ct(t,e,r,n,i,a,o){for(var s,l,u=ft(t),c=0===i?dt:vt,f=t.start,h=0;hr&&(l=c(u,p,d,g,y,r),o&&(u.start=f+s*l)):m>n?x=r&&(l=c(u,p,d,g,y,r),b=!0),x>n&&m<=n&&(l=c(u,p,d,g,y,n),b=!0),!a&&b&&(o&&(u.end=f+s*l),e.push(u),u=ft(t)),o&&(f+=s)}var _=t.length-3;p=t[_],d=t[_+1],v=t[_+2],(m=0===i?p:d)>=r&&m<=n&&pt(u,p,d,v),_=u.length-3,a&&_>=3&&(u[_]!==u[0]||u[_+1]!==u[1])&&pt(u,u[0],u[1],u[2]),u.length&&e.push(u)}function ft(t){var e=[];return e.size=t.size,e.start=t.start,e.end=t.end,e}function ht(t,e,r,n,i,a){for(var o=0;oo.maxX&&(o.maxX=c),f>o.maxY&&(o.maxY=f)}return o}function _t(t,e,r,n){var i=e.geometry,a=e.type,o=[];if(\"Point\"===a||\"MultiPoint\"===a)for(var s=0;s0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;lo)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n0===e)for(n=0,i=t.length;n24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n=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));ce&&(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;T1)for(var E=0,L=h;E>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<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<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<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 down\"),this.tiles[s]?mt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{if(n.filter){var s=t.createExpression(n.filter,{type:\"boolean\",\"property-type\":\"data-driven\",overridable:!1,transition:!1});if(\"error\"===s.result)throw new Error(s.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));var l=o.features.filter((function(t){return s.value.evaluate({zoom:0},t)}));o={type:\"FeatureCollection\",features:l}}e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),u=0,c=l;u=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=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s65535)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;i1&&(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;u1&&(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=n&&e.x=i&&e.y0&&(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+10&&(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;or.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];tthis.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},j.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n1||(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);fthis._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;a0||(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=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=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.length0?(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=-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;yMath.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.yn.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;M0?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;D0?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)=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;s0: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=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;yo*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=1;P--)C.push(E.path[P]);for(var O=1;O0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.xM.x||F.yM.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N=this.screenRightBoundary||nthis.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t=0&&e0?(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;i0&&(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=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=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C=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];o0||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;gt},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._currentTileIndex2};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;nt.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;c1?\"@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;r0)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=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] 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>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;d0){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=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;P0){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;f256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a256&&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=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.currentLayer0?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=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;fthis.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&&re.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<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)-ao&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-ml&&(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=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.duration0&&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=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;nthis.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;n30)&&(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)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,!(sMath.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;aa?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=Te.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)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=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;re.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()=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()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;o180;){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)=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.longitudee.getEast()||r.latitudee.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\"},$i=function(e){this.options=t.extend({},Ji,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?ta(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):ta(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?ta(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?ta(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):ta(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function ta(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\" \"+n}$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=\"×\",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.ythis._map.transform.height-u?[\"bottom\"]:[],i.xthis._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. 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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 * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid 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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 n.baseCalendar,i(a.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leapYear:function(t){return 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;r19||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 this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o(8+(t-=this.jdEpoch)+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s(20+(t-=this.jdEpoch),20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},30632: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;var 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=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;r0?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 u=t-this.toJD(l,1,1)+1,c=u<=186?Math.ceil(u/31):Math.ceil((u-6)/30),f=t-this.toJD(l,c,1)+1;return this.newDate(l,c,f)}}),n.calendars.persian=a,n.calendars.jalali=a},51456: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 n.baseCalendar,i(o.prototype,{name:\"Taiwan\",jdEpoch:2419402.5,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(e.year()),a.leapYear(t)},weekOfYear:function(t,e,r){var 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 n.baseCalendar,i(o.prototype,{name:\"Thai\",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(e.year()),a.leapYear(t)},weekOfYear:function(t,e,r){var 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 n.baseCalendar,i(a.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thalāthā’\",\"Yawm al-Arba‘ā’\",\"Yawm al-Khamīs\",\"Yawm al-Jum‘a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},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){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;ar)return o[i]-o[i-1];i++}return 30},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),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;ne);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,u=e-o[r-1]+1;return this.newDate(s,l,u)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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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 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      "text/html": [
       "
                            
                    
"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = em.plot.plot_trajs_by_parameter(\n",
    "    Ub_K11_trajs,\n",
    "    parameter=\"common_str\",\n",
    "    type=\"heatmap\",\n",
    "    show=False,\n",
    "    nbins=50,\n",
    "    alpha=0.5,\n",
    "    contourtype=\"contourf\",\n",
    ")\n",
    "fig.update_layout(\n",
    "    {\n",
    "        \"width\": 800,\n",
    "        \"height\": 800,\n",
    "        \"template\": \"none\",\n",
    "        \"xaxis\": {\n",
    "            \"showgrid\": False,\n",
    "            \"showline\": False,\n",
    "            \"zeroline\": False,\n",
    "            \"showticklabels\": False,\n",
    "            \"ticks\": \"\",\n",
    "        },\n",
    "        \"yaxis\": {\n",
    "            \"showgrid\": False,\n",
    "            \"showline\": False,\n",
    "            \"zeroline\": False,\n",
    "            \"showticklabels\": False,\n",
    "            \"ticks\": \"\",\n",
    "        },\n",
    "        \"plot_bgcolor\": \"rgba(0, 0, 0, 0)\",\n",
    "        \"paper_bgcolor\": 'rgba(0, 0, 0, 0)',\n",
    "        \"title\": None,\n",
    "        \"legend\": {\n",
    "            \"font\": {\n",
    "                \"size\": 30,\n",
    "            },\n",
    "        },\n",
    "    }\n",
    ")\n",
    "# fig.write_image(figure_5_trained_nn_dir / \"lowd.svg\", scale=2)\n",
    "# fig.write_image(figure_5_trained_nn_dir / \"lowd.png\", scale=2)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "feab25b2-8c61-464b-b82b-a3563dfd4b6d",
   "metadata": {},
   "source": [
    "And using free energy as coloration."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "b4d4dc94-b604-47b6-8ce6-26f47d04ea02",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "autocontour": true,
         "colorbar": {
          "title": {
           "text": "free energy / kT"
          }
         },
         "colorscale": [
          [
           0,
           "#440154"
          ],
          [
           0.1111111111111111,
           "#482878"
          ],
          [
           0.2222222222222222,
           "#3e4989"
          ],
          [
           0.3333333333333333,
           "#31688e"
          ],
          [
           0.4444444444444444,
           "#26828e"
          ],
          [
           0.5555555555555556,
           "#1f9e89"
          ],
          [
           0.6666666666666666,
           "#35b779"
          ],
          [
           0.7777777777777778,
           "#6ece58"
          ],
          [
           0.8888888888888888,
           "#b5de2b"
          ],
          [
           1,
           "#fde725"
          ]
         ],
         "contours": {
          "end": 5,
          "size": 0.5,
          "start": 0.5
         },
         "hoverinfo": "none",
         "name": "Lowd projection",
         "showscale": false,
         "type": "contour",
         "x": [
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         "y": [
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         "z": [
          [
           null,
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      "text/html": [
       "
                            
                    
"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from encodermap.plot.plotting import _plot_free_energy\n",
    "\n",
    "# for the one bundled as project\n",
    "# basin_indices = [0, 26, 51, 72, 98]\n",
    "basin_indices = [0, 21, 32, 48, 62, 99]\n",
    "\n",
    "fig = go.Figure(\n",
    "    data=[\n",
    "        _plot_free_energy(*Ub_K11_trajs.lowd.T, bins=50),\n",
    "    ]\n",
    ")\n",
    "layout = {\n",
    "    \"width\": 800,\n",
    "    \"height\": 800,\n",
    "    \"template\": \"none\",\n",
    "    \"title\": None,\n",
    "    \"xaxis\": {\n",
    "        \"showgrid\": False,\n",
    "        \"showline\": False,\n",
    "        \"zeroline\": False,\n",
    "        \"title\": None,\n",
    "        \"showticklabels\": False,\n",
    "        \"ticks\": \"\",\n",
    "    },\n",
    "    \"yaxis\": {\n",
    "        \"showgrid\": False,\n",
    "        \"showline\": False,\n",
    "        \"zeroline\": False,\n",
    "        \"title\": None,\n",
    "        \"showticklabels\": False,\n",
    "        \"ticks\": \"\",\n",
    "    },\n",
    "    \"plot_bgcolor\": \"rgba(0, 0, 0, 0)\",\n",
    "    \"paper_bgcolor\": 'rgba(0, 0, 0, 0)',\n",
    "}\n",
    "fig.update_layout(**layout)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3a972953-1059-4470-a478-c84a91354498",
   "metadata": {},
   "source": [
    "### Cluster and paths\n",
    "\n",
    "Clusters and paths can be generated using EncoderMap's `InteractivePlotting`. Note, that clusters are extracted from simulated MD conformations, by RMSD-aligning a subset of the selected points. In contrary, paths represent arbitrary points on the low-dimensional projection of the latent space. EncoderMap's decoder network can generate molecular conformations from these points."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "ea513fb8-efbd-4a09-b14b-e1d41f35e888",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "47b5897e28ab4942a807eef4f8703bd5",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "GridspecLayout(children=(HTML(value='
EncoderMap Dashboard for kevin in /h/k/g/e/d/s/n/p/trained_networks/f…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sess = em.InteractivePlotting(\n",
    "    trajs=Ub_K11_trajs,\n",
    "    autoencoder=Ub_K11_emap,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "75ffd8e2-d150-43d2-b941-b5b1350fab16",
   "metadata": {},
   "source": [
    "#### Cluster\n",
    "\n",
    "A cluster has been selected using EncoderMap's `InteractivePlotting`. The selected points are also available upon reasonable request."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "67b8dbb9-e304-4f9c-a290-7652f9447d74",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "hovertemplate": "x in a.u.=%{x}
y in a.u.=%{y}
cluster_membership=%{marker.color}",
         "legendgroup": "",
         "marker": {
          "color": [
           -1,
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      "text/html": [
       "
                            
                    
"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# np.save(figure_5_trained_nn_dir / \"cluster_assignment/membership.npy\", Ub_K11_trajs._user_selected_points)\n",
    "Ub_K11_trajs.load_CVs(\n",
    "    np.load(figure_5_trained_nn_dir / \"clusters/membership.npy\"),\n",
    "    attr_name=\"cluster_membership\",\n",
    ")\n",
    "with set_env(ENCODERMAP_SKIP_SCATTER_SIZE_CHECK=\"True\"):\n",
    "    fig = em.plot.plot_trajs_by_parameter(Ub_K11_trajs, \"cluster_membership\", cbar=False, show=False)\n",
    "fig.update_layout(**layout)\n",
    "# fig.write_image(figure_5_trained_nn_dir / \"cluster_selection.svg\", scale=2)\n",
    "# fig.write_image(figure_5_trained_nn_dir / \"cluster_selection.png\", scale=2)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "48b12aa8-43e7-4e00-bb6a-c70b8267d578",
   "metadata": {},
   "source": [
    "Next, the cluster can be saved to pdb and then rendered using external tools."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "45a67c50-b29b-431e-9c85-ca6ccad2b1fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "97bf58a1169c400dab40118c394d18f3",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Joining...:   0%|          | 0/3 [00:00"
      ]
     },
     "metadata": {
      "image/png": {
       "width": 600
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import Image, display\n",
    "display(Image(figure_5_trained_nn_dir / \"clusters/chimeraX_render.png\", width=600))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "16a15a26-6cab-4c3e-90be-e13a69c5b1b3",
   "metadata": {},
   "source": [
    "#### Path\n",
    "\n",
    "The selected Path is provided in the accompanzing dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "a441a506-187c-4949-a198-78bf53bb94b5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# np.save(figure_5_trained_nn_dir / \"paths/path.npy\", sess.path)\n",
    "path = np.load(figure_5_trained_nn_dir / \"paths/path.npy\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "96d2271b-5335-4bae-8e0f-d683a5d5b03a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
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         "hoverinfo": "none",
         "name": "Lowd projection",
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",
      "text/html": [
       "
                            
                    
"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from encodermap.plot.plotting import _plot_free_energy\n",
    "\n",
    "# for the one bundled as project\n",
    "basin_indices = [0, 21, 32, 48, 62, 99]\n",
    "\n",
    "fig = go.Figure(\n",
    "    data=[\n",
    "        _plot_free_energy(*Ub_K11_trajs.lowd.T, bins=50),\n",
    "        go.Scatter(\n",
    "            x=path[:, 0],\n",
    "            y=path[:, 1],\n",
    "            mode=\"lines\",\n",
    "            name=\"\",\n",
    "            line_width=5,\n",
    "            customdata=[i for i in range(len(path))],\n",
    "            hovertemplate=\"%{customdata}\",\n",
    "            showlegend=False,\n",
    "        ),\n",
    "        go.Scatter(\n",
    "            x=path[basin_indices, 0],\n",
    "            y=path[basin_indices, 1],\n",
    "            mode=\"markers\",\n",
    "            name=\"\",\n",
    "            line_width=0,\n",
    "            showlegend=False,\n",
    "            marker={\n",
    "                \"size\": 20,\n",
    "                \"line\": {\n",
    "                    \"color\": \"black\",\n",
    "                    \"width\": 2,\n",
    "                },\n",
    "                \"color\": \"white\",\n",
    "            },\n",
    "        )\n",
    "    ]\n",
    ")\n",
    "layout = {\n",
    "    \"width\": 800,\n",
    "    \"height\": 800,\n",
    "    \"template\": \"none\",\n",
    "    \"xaxis\": {\n",
    "        \"showgrid\": False,\n",
    "        \"showline\": False,\n",
    "        \"zeroline\": False,\n",
    "        \"showticklabels\": False,\n",
    "        \"ticks\": \"\",\n",
    "    },\n",
    "    \"yaxis\": {\n",
    "        \"showgrid\": False,\n",
    "        \"showline\": False,\n",
    "        \"zeroline\": False,\n",
    "        \"showticklabels\": False,\n",
    "        \"ticks\": \"\",\n",
    "    },\n",
    "    \"plot_bgcolor\": \"rgba(0, 0, 0, 0)\",\n",
    "    \"paper_bgcolor\": 'rgba(0, 0, 0, 0)',\n",
    "}\n",
    "fig.update_layout(**layout)\n",
    "# fig.write_image(figure_5_trained_nn_dir / \"path.svg\", scale=2)\n",
    "# fig.write_image(figure_5_trained_nn_dir / \"path.png\", scale=2)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e2b53c3b-8405-4e8f-980a-7d9f7dfe2724",
   "metadata": {},
   "source": [
    "Generate wt conformations along the path."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "010743cf-5500-484c-9033-9963ac64862e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/kevin/git/encoder_map_private/encodermap/trajinfo/trajinfo_utils.py:1299: UserWarning:\n",
      "\n",
      "Your custom topology for residue name=KAC resSeq=None index=None does not define atoms for the dihedral PSI. If this dihedral consists of standard atom names, it will be considered for dihedral calculations. If this dihedral should not be present in your custom topology you need to explicitly delete it by adding 'PSI_ATOMS': 'delete' to your custom_topology. If you want this dihedral to be present in your topology, you can ignore this warning.\n",
      "\n",
      "/home/kevin/git/encoder_map_private/encodermap/trajinfo/trajinfo_utils.py:1299: UserWarning:\n",
      "\n",
      "Your custom topology for residue name=KAC resSeq=None index=None does not define atoms for the dihedral OMEGA. If this dihedral consists of standard atom names, it will be considered for dihedral calculations. If this dihedral should not be present in your custom topology you need to explicitly delete it by adding 'OMEGA_ATOMS': 'delete' to your custom_topology. If you want this dihedral to be present in your topology, you can ignore this warning.\n",
      "\n",
      "/home/kevin/git/encoder_map_private/encodermap/trajinfo/trajinfo_utils.py:1299: UserWarning:\n",
      "\n",
      "Your custom topology for residue name=KAC resSeq=None index=None does not define atoms for the dihedral PHI. If this dihedral consists of standard atom names, it will be considered for dihedral calculations. If this dihedral should not be present in your custom topology you need to explicitly delete it by adding 'PHI_ATOMS': 'delete' to your custom_topology. If you want this dihedral to be present in your topology, you can ignore this warning.\n",
      "\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3a043a0b78e54570a4363a1e7bd067b7",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
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