diff --git a/differt/tests/plotting/test_utils.py b/differt/tests/plotting/test_utils.py
index d9c2ce1a..396272bd 100644
--- a/differt/tests/plotting/test_utils.py
+++ b/differt/tests/plotting/test_utils.py
@@ -153,6 +153,7 @@ def test_return_type(backend: str, rtype: type) -> None:
     ret = my_plot(backend=backend)
     assert isinstance(ret, rtype), f"{ret!r} is not of type {rtype}"
 
+
 def test_get_backend() -> None:
     set_defaults()  # Clear defaults
     assert get_backend(None) == "vispy"
@@ -160,6 +161,7 @@ def test_get_backend() -> None:
     assert get_backend("matplotlib") == "matplotlib"
     assert get_backend("plotly") == "plotly"
 
+
 def test_set_backend() -> None:
     set_defaults()  # Clear defaults
     assert get_backend(None) == "vispy"
diff --git a/docs/source/notebooks/multipath.ipynb b/docs/source/notebooks/multipath.ipynb
index c3418140..69d67146 100644
--- a/docs/source/notebooks/multipath.ipynb
+++ b/docs/source/notebooks/multipath.ipynb
@@ -43891,8 +43891,8 @@
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+           9.02684187167324e-05,
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@@ -44171,7 +44171,7 @@
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diff --git a/docs/source/notebooks/sampling_paths.ipynb b/docs/source/notebooks/sampling_paths.ipynb
index ce1858ac..8b9c62e5 100644
--- a/docs/source/notebooks/sampling_paths.ipynb
+++ b/docs/source/notebooks/sampling_paths.ipynb
@@ -21,7 +21,18 @@
     "except ImportError:\n",
     "    import sys  # noqa: F401\n",
     "\n",
-    "    !{sys.executable} -m pip install --group notebooks git+https://github.com/jeertmans/sampling-paths.git"
+    "    !{sys.executable} -m pip install --upgrade 'pip>=25.1'\n",
+    "    try:\n",
+    "        import google.colab  # type: ignore[unresolved-import]  # noqa: F401\n",
+    "    except ImportError:\n",
+    "        !{sys.executable} -m pip install --group notebooks git+https://github.com/jeertmans/sampling-paths.git\n",
+    "    else:\n",
+    "        # Apparently, Google Colab fails to install dependency groups from a URL\n",
+    "        from tempfile import TemporaryDirectory\n",
+    "\n",
+    "        with TemporaryDirectory() as tmp_dir:\n",
+    "            !git clone --filter=blob:none --quiet https://github.com/jeertmans/sampling-paths.git {tmp_dir}\n",
+    "            !cd {tmp_dir} && {sys.executable} -m pip install . --group notebooks"
    ]
   },
   {
@@ -39,7 +50,7 @@
     "[accessible here](https://differt.rtfd.io/stable/notebooks/sampling_paths.html).\n",
     ":::\n",
     "\n",
-    "This notebook aims at being a tutorial to reproduce the results presented in the paper\n",
+    "This notebook aims to be a tutorial for reproducing the results presented in the paper\n",
     "*Transform-Invariant Generative Ray Path Sampling for Efficient Radio Propagation Modeling with Point-to-Point Ray Tracing*,\n",
     "and assumes you are familiar with its content.\n",
     "\n",
@@ -55,7 +66,7 @@
     ":::\n",
     "\n",
     "If you find this tutorial useful and plan on using this tool for your publications,\n",
-    "please cite our work, see {ref}`citing`.\n",
+    "please cite our work; see {ref}`citing`.\n",
     "\n",
     ":::{warning}\n",
     "Training the models can take quite some time.\n",
@@ -63,18 +74,18 @@
     "If you want to bypass the training and use a pre-trained model,\n",
     "you can download the weights from the\n",
     "[releases page](https://github.com/jeertmans/DiffeRT/releases/tag/icmlcn2025) and\n",
-    "load then with `Model.load_weights`.\n",
+    "load them with `Model.load_weights`.\n",
     ":::\n",
     "\n",
     "## Summary\n",
     "\n",
-    "In our work, we present a Machine Learning model that aims at reducing the computational complexity\n",
+    "In our work, we present a machine learning model that aims to reduce the computational complexity\n",
     "of exhaustive point-to-point Ray Tracing by learning how to sample path candidates.\n",
     "For further details, please refer to the paper.\n",
     "\n",
     "## Setup\n",
     "\n",
-    "Below are the important steps to properly setup the environment.\n",
+    "Below are the important steps to properly set up the environment.\n",
     "\n",
     "### Imports\n",
     "\n",
@@ -104,17 +115,24 @@
    "outputs": [],
    "source": [
     "from collections import defaultdict\n",
+    "from functools import partial\n",
     "\n",
+    "import equinox as eqx\n",
     "import jax\n",
     "import jax.numpy as jnp\n",
     "import jax.random as jr\n",
     "import matplotlib.pyplot as plt\n",
     "import plotly.graph_objects as go\n",
     "import treescope\n",
-    "from differt.plotting import reuse, set_defaults\n",
+    "from differt.geometry import path_lengths\n",
+    "from differt.plotting import draw_image, reuse, set_defaults\n",
     "from differt.scene import (\n",
+    "    TriangleScene,\n",
     "    download_sionna_scenes,\n",
     ")\n",
+    "from differt.utils import safe_divide\n",
+    "from jaxtyping import Array, Float, PRNGKeyArray\n",
+    "from plotly.subplots import make_subplots\n",
     "from sampling_paths.agent import Agent\n",
     "from sampling_paths.model import Model\n",
     "from sampling_paths.utils import (\n",
@@ -133,7 +151,7 @@
    "source": [
     "### Pretty Printing\n",
     "\n",
-    "Nested structures, like Machine Learning modules, or more generally PyTrees, do not render very nicely by default.\n",
+    "Nested structures, like machine learning modules, or more generally PyTrees, do not render very nicely by default.\n",
     "To provide the user with an interactive pretty-printing experience, we use `treescope`:"
    ]
   },
@@ -141,7 +159,13 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "4",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "treescope.basic_interactive_setup()"
@@ -154,9 +178,9 @@
    "source": [
     "### JAX Device\n",
     "\n",
-    "While this notebook will run fine all supported JAX devices (i.e., CPU, GPU, and TPU), using a GPU (or a TPU) will usually decrease the computational time by a significant factor.\n",
+    "While this notebook will run fine on all supported JAX devices (i.e., CPU, GPU, and TPU), using a GPU (or a TPU) will usually decrease the computational time by a significant factor.\n",
     "\n",
-    "To check the current active JAX device, use {func}`jax.devices`:"
+    "To check the currently active JAX device, use {func}`jax.devices`:"
    ]
   },
   {
@@ -168,7 +192,7 @@
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h=a[u],f=l[h],p=e[h+\"axis\"].r2fraction(f);if(p<0||p>1){c=!0;break}}c?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+s+'\"]').remove():(l._pdata=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},83348:function(t,e,r){\"use strict\";var n=r(33626),i=r(34809);t.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:r(38239)}}},layoutAttributes:r(38239),handleDefaults:r(34232),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(r)for(var a=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var l=o[s];a.test(l)&&(t[l].annotations||[]).length&&(i.pushUnique(e._basePlotModules,r),i.pushUnique(e._subplots.gl3d,l))}},convert:r(47979),draw:r(9756)}},37177:function(t,e,r){\"use 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n=r(25829),i=r(80337),a=r(93049).extendFlat,o=r(13582).overrideAll;t.exports=o({orientation:{valType:\"enumerated\",values:[\"h\",\"v\"],dflt:\"v\"},thicknessmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"pixels\"},thickness:{valType:\"number\",min:0,dflt:30},lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\"},xref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"]},xpad:{valType:\"number\",min:0,dflt:10},y:{valType:\"number\"},yref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"]},ypad:{valType:\"number\",min:0,dflt:10},outlinecolor:n.linecolor,outlinewidth:n.linewidth,bordercolor:n.linecolor,borderwidth:{valType:\"number\",min:0,dflt:0},bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\"},tickmode:n.minor.tickmode,nticks:n.nticks,tick0:n.tick0,dtick:n.dtick,tickvals:n.tickvals,ticktext:n.ticktext,ticks:a({},n.ticks,{dflt:\"\"}),ticklabeloverflow:a({},n.ticklabeloverflow,{}),ticklabelposition:{valType:\"enumerated\",values:[\"outside\",\"inside\",\"outside 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strict\";t.exports={cn:{colorbar:\"colorbar\",cbbg:\"cbbg\",cbfill:\"cbfill\",cbfills:\"cbfills\",cbline:\"cbline\",cblines:\"cblines\",cbaxis:\"cbaxis\",cbtitleunshift:\"cbtitleunshift\",cbtitle:\"cbtitle\",cboutline:\"cboutline\",crisp:\"crisp\",jsPlaceholder:\"js-placeholder\"}}},42097:function(t,e,r){\"use strict\";var n=r(34809),i=r(78032),a=r(22777),o=r(87433),s=r(12036),l=r(54616),c=r(25158);t.exports=function(t,e,r){var u=i.newContainer(e,\"colorbar\"),h=t.colorbar||{};function f(t,e){return n.coerce(h,u,c,t,e)}var p=r.margin||{t:0,b:0,l:0,r:0},d=r.width-p.l-p.r,m=r.height-p.t-p.b,g=\"v\"===f(\"orientation\"),y=f(\"thicknessmode\");f(\"thickness\",\"fraction\"===y?30/(g?d:m):30);var v=f(\"lenmode\");f(\"len\",\"fraction\"===v?1:g?m:d);var x,_,b,w=\"paper\"===f(\"yref\"),T=\"paper\"===f(\"xref\"),k=\"left\";g?(b=\"middle\",k=T?\"left\":\"right\",x=T?1.02:1,_=.5):(b=w?\"bottom\":\"top\",k=\"center\",x=.5,_=w?1.02:1),n.coerce(h,u,{x:{valType:\"number\",min:T?-2:0,max:T?3:1,dflt:x}},\"x\"),n.coerce(h,u,{y:{valType:\"number\",min:w?-2:0,max:w?3:1,dflt:_}},\"y\"),f(\"xanchor\",k),f(\"xpad\"),f(\"yanchor\",b),f(\"ypad\"),n.noneOrAll(h,u,[\"x\",\"y\"]),f(\"outlinecolor\"),f(\"outlinewidth\"),f(\"bordercolor\"),f(\"borderwidth\"),f(\"bgcolor\");var A=n.coerce(h,u,{ticklabelposition:{valType:\"enumerated\",dflt:\"outside\",values:g?[\"outside\",\"inside\",\"outside top\",\"inside top\",\"outside bottom\",\"inside bottom\"]:[\"outside\",\"inside\",\"outside left\",\"inside left\",\"outside right\",\"inside right\"]}},\"ticklabelposition\");f(\"ticklabeloverflow\",-1!==A.indexOf(\"inside\")?\"hide past domain\":\"hide past div\"),a(h,u,f,\"linear\");var M=r.font,S={noAutotickangles:!0,noTicklabelshift:!0,noTicklabelstandoff:!0,outerTicks:!1,font:M};-1!==A.indexOf(\"inside\")&&(S.bgColor=\"black\"),l(h,u,f,\"linear\",S),s(h,u,f,\"linear\",S),o(h,u,f,\"linear\",S),f(\"title.text\",r._dfltTitle.colorbar);var E=u.showticklabels?u.tickfont:M,C=n.extendFlat({},M,{family:E.family,size:n.bigFont(E.size)});n.coerceFont(f,\"title.font\",C),f(\"title.side\",g?\"top\":\"right\")}},5881:function(t,e,r){\"use strict\";var n=r(45568),i=r(65657),a=r(44122),o=r(33626),s=r(29714),l=r(14751),c=r(34809),u=c.strTranslate,h=r(93049).extendFlat,f=r(27983),p=r(62203),d=r(78766),m=r(17240),g=r(30635),y=r(65477).flipScale,v=r(97655),x=r(40957),_=r(25829),b=r(4530),w=b.LINE_SPACING,T=b.FROM_TL,k=b.FROM_BR,A=r(34554).cn;t.exports={draw:function(t){var e=t._fullLayout._infolayer.selectAll(\"g.\"+A.colorbar).data(function(t){var e,r,n,i,a=t._fullLayout,o=t.calcdata,s=[];function l(t){return 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n,i,a=e._levels,o=[],s=[],l=a.end+a.size/100,c=a.size,u=1.001*r[0]-.001*r[1],h=1.001*r[1]-.001*r[0];for(i=0;i<1e5&&(n=a.start+i*c,!(c>0?n>=l:n<=l));i++)n>u&&n<h&&o.push(n);if(e._fillgradient)s=[0];else if(\"function\"==typeof e._fillcolor){var f=e._filllevels;if(f)for(l=f.end+f.size/100,c=f.size,i=0;i<1e5&&(n=f.start+i*c,!(c>0?n>=l:n<=l));i++)n>r[0]&&n<r[1]&&s.push(n);else(s=o.map((function(t){return t-a.size/2}))).push(s[s.length-1]+a.size)}else e._fillcolor&&\"string\"==typeof e._fillcolor&&(s=[0]);return a.size<0&&(o.reverse(),s.reverse()),{line:o,fill:s}}(0,e,q),Y=W.fill,X=W.line,$=Math.round(y*(\"fraction\"===b?o?B.w:B.h:1)),J=$/(o?B.w:B.h),K=Math.round(l*(\"fraction\"===f?o?B.h:B.w:1)),Q=K/(o?B.h:B.w),tt=R?B.w:r._fullLayout.width,et=D?B.h:r._fullLayout.height,rt=Math.round(o?z*tt+I:O*et+P),nt={center:.5,right:1}[C]||0,it={top:1,middle:.5}[L]||0,at=o?z-nt*J:O-it*J,ot=o?O-it*Q:z-nt*Q,st=Math.round(o?et*(1-ot):tt*ot);e._lenFrac=Q,e._thickFrac=J,e._uFrac=at,e._vFrac=ot;var lt=e._axis=function(t,e,r){var n=t._fullLayout,i=\"v\"===e.orientation,a={type:\"linear\",range:r,tickmode:e.tickmode,nticks:e.nticks,tick0:e.tick0,dtick:e.dtick,tickvals:e.tickvals,ticktext:e.ticktext,ticks:e.ticks,ticklen:e.ticklen,tickwidth:e.tickwidth,tickcolor:e.tickcolor,showticklabels:e.showticklabels,labelalias:e.labelalias,ticklabelposition:e.ticklabelposition,ticklabeloverflow:e.ticklabeloverflow,ticklabelstep:e.ticklabelstep,tickfont:e.tickfont,tickangle:e.tickangle,tickformat:e.tickformat,exponentformat:e.exponentformat,minexponent:e.minexponent,separatethousands:e.separatethousands,showexponent:e.showexponent,showtickprefix:e.showtickprefix,tickprefix:e.tickprefix,showticksuffix:e.showticksuffix,ticksuffix:e.ticksuffix,title:e.title,showline:!0,anchor:\"free\",side:i?\"right\":\"bottom\",position:1},o=i?\"y\":\"x\",s={type:\"linear\",_id:o+e._id},l={letter:o,font:n.font,noAutotickangles:\"y\"===o,noHover:!0,noTickson:!0,noTicklabelmode:!0,noInsideRange:!0,calendar:n.calendar};function u(t,e){return c.coerce(a,s,_,t,e)}return v(a,s,u,l,n),x(a,s,u,l),s}(r,e,q);lt.position=J+(o?z+I/B.w:O+P/B.h);var ct=-1!==[\"top\",\"bottom\"].indexOf(V);if(o&&ct&&(lt.title.side=V,lt.titlex=z+I/B.w,lt.titley=ot+(\"top\"===U.side?Q-P/B.h:P/B.h)),o||ct||(lt.title.side=V,lt.titley=O+P/B.h,lt.titlex=ot+I/B.w),j.color&&\"auto\"===e.tickmode){lt.tickmode=\"linear\",lt.tick0=Z.start;var ut=Z.size,ht=c.constrain(K/50,4,15)+1,ft=(q[1]-q[0])/((e.nticks||ht)*ut);if(ft>1){var pt=Math.pow(10,Math.floor(Math.log(ft)/Math.LN10));ut*=pt*c.roundUp(ft/pt,[2,5,10]),(Math.abs(Z.start)/Z.size+1e-6)%1<2e-6&&(lt.tick0=0)}lt.dtick=ut}lt.domain=o?[ot+P/B.h,ot+Q-P/B.h]:[ot+I/B.w,ot+Q-I/B.w],lt.setScale(),t.attr(\"transform\",u(Math.round(B.l),Math.round(B.t)));var dt,mt=t.select(\".\"+A.cbtitleunshift).attr(\"transform\",u(-Math.round(B.l),-Math.round(B.t))),gt=lt.ticklabelposition,yt=lt.title.font.size,vt=t.select(\".\"+A.cbaxis),xt=0,_t=0;function bt(n,i){var a={propContainer:lt,propName:e._propPrefix+\"title\",traceIndex:e._traceIndex,_meta:e._meta,placeholder:F._dfltTitle.colorbar,containerGroup:t.select(\".\"+A.cbtitle)},o=\"h\"===n.charAt(0)?n.substr(1):\"h\"+n;t.selectAll(\".\"+o+\",.\"+o+\"-math-group\").remove(),m.draw(r,n,h(a,i||{}))}return c.syncOrAsync([a.previousPromises,function(){var t,e;(o&&ct||!o&&!ct)&&(\"top\"===V&&(t=I+B.l+tt*z,e=P+B.t+et*(1-ot-Q)+3+.75*yt),\"bottom\"===V&&(t=I+B.l+tt*z,e=P+B.t+et*(1-ot)-3-.25*yt),\"right\"===V&&(e=P+B.t+et*O+3+.75*yt,t=I+B.l+tt*ot),bt(lt._id+\"title\",{attributes:{x:t,y:e,\"text-anchor\":o?\"start\":\"middle\"}}))},function(){if(!o&&!ct||o&&ct){var a,l=t.select(\".\"+A.cbtitle),h=l.select(\"text\"),f=[-M/2,M/2],d=l.select(\".h\"+lt._id+\"title-math-group\").node(),m=15.6;if(h.node()&&(m=parseInt(h.node().style.fontSize,10)*w),d?(a=p.bBox(d),_t=a.width,(xt=a.height)>m&&(f[1]-=(xt-m)/2)):h.node()&&!h.classed(A.jsPlaceholder)&&(a=p.bBox(h.node()),_t=a.width,xt=a.height),o){if(xt){if(xt+=5,\"top\"===V)lt.domain[1]-=xt/B.h,f[1]*=-1;else{lt.domain[0]+=xt/B.h;var y=g.lineCount(h);f[1]+=(1-y)*m}l.attr(\"transform\",u(f[0],f[1])),lt.setScale()}}else _t&&(\"right\"===V&&(lt.domain[0]+=(_t+yt/2)/B.w),l.attr(\"transform\",u(f[0],f[1])),lt.setScale())}t.selectAll(\".\"+A.cbfills+\",.\"+A.cblines).attr(\"transform\",o?u(0,Math.round(B.h*(1-lt.domain[1]))):u(Math.round(B.w*lt.domain[0]),0)),vt.attr(\"transform\",o?u(0,Math.round(-B.t)):u(Math.round(-B.l),0));var v=t.select(\".\"+A.cbfills).selectAll(\"rect.\"+A.cbfill).attr(\"style\",\"\").data(Y);v.enter().append(\"rect\").classed(A.cbfill,!0).attr(\"style\",\"\"),v.exit().remove();var x=q.map(lt.c2p).map(Math.round).sort((function(t,e){return t-e}));v.each((function(t,a){var s=[0===a?q[0]:(Y[a]+Y[a-1])/2,a===Y.length-1?q[1]:(Y[a]+Y[a+1])/2].map(lt.c2p).map(Math.round);o&&(s[1]=c.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?\"x\":\"y\",rt).attr(o?\"y\":\"x\",n.min(s)).attr(o?\"width\":\"height\",Math.max($,2)).attr(o?\"height\":\"width\",Math.max(n.max(s)-n.min(s),2));if(e._fillgradient)p.gradient(l,r,e._id,o?\"vertical\":\"horizontalreversed\",e._fillgradient,\"fill\");else{var u=G(t).replace(\"e-\",\"\");l.attr(\"fill\",i(u).toHexString())}}));var _=t.select(\".\"+A.cblines).selectAll(\"path.\"+A.cbline).data(j.color&&j.width?X:[]);_.enter().append(\"path\").classed(A.cbline,!0),_.exit().remove(),_.each((function(t){var e=rt,r=Math.round(lt.c2p(t))+j.width/2%1;n.select(this).attr(\"d\",\"M\"+(o?e+\",\"+r:r+\",\"+e)+(o?\"h\":\"v\")+$).call(p.lineGroupStyle,j.width,H(t),j.dash)})),vt.selectAll(\"g.\"+lt._id+\"tick,path\").remove();var b=rt+$+(M||0)/2-(\"outside\"===e.ticks?1:0),T=s.calcTicks(lt),k=s.getTickSigns(lt)[2];return s.drawTicks(r,lt,{vals:\"inside\"===lt.ticks?s.clipEnds(lt,T):T,layer:vt,path:s.makeTickPath(lt,b,k),transFn:s.makeTransTickFn(lt)}),s.drawLabels(r,lt,{vals:T,layer:vt,transFn:s.makeTransTickLabelFn(lt),labelFns:s.makeLabelFns(lt,b)})},function(){if(o&&!ct||!o&&ct){var t,i,a=lt.position||0,s=lt._offset+lt._length/2;if(\"right\"===V)i=s,t=B.l+tt*a+10+yt*(lt.showticklabels?1:.5);else if(t=s,\"bottom\"===V&&(i=B.t+et*a+10+(-1===gt.indexOf(\"inside\")?lt.tickfont.size:0)+(\"intside\"!==lt.ticks&&e.ticklen||0)),\"top\"===V){var l=U.text.split(\"<br>\").length;i=B.t+et*a+10-$-w*yt*l}bt((o?\"h\":\"v\")+lt._id+\"title\",{avoid:{selection:n.select(r).selectAll(\"g.\"+lt._id+\"tick\"),side:V,offsetTop:o?0:B.t,offsetLeft:o?B.l:0,maxShift:o?F.width:F.height},attributes:{x:t,y:i,\"text-anchor\":\"middle\"},transform:{rotate:o?-90:0,offset:0}})}},a.previousPromises,function(){var 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e?e.ypx:J[0]._length/2;if(e.pointerX=_t+$[0]._offset,e.pointerY=bt+J[0]._offset,nt=\"xval\"in e?x.flat(_,e.xval):x.p2c($,_t),it=\"yval\"in e?x.flat(_,e.yval):x.p2c(J,bt),!i(nt[0])||!i(it[0]))return o.warn(\"Fx.hover failed\",e,t),m.unhoverRaw(t,e)}var At=1/0;function Mt(r,n){for(ot=0;ot<yt.length;ot++)if((st=yt[ot])&&st[0]&&st[0].trace&&!0===(lt=st[0].trace).visible&&0!==lt._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(lt._module.name)){if(ht=S,x.isUnifiedHover(ht)&&(ht=ht.charAt(0)),\"splom\"===lt.type?ct=_[ut=0]:(ct=x.getSubplot(lt),ut=_.indexOf(ct)),dt={cd:st,trace:lt,xa:$[ut],ya:J[ut],maxHoverDistance:et,maxSpikeDistance:rt,index:!1,distance:Math.min(At,et),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:d.defaultLine,name:lt.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},b[ct]&&(dt.subplot=b[ct]._subplot),b._splomScenes&&b._splomScenes[lt.uid]&&(dt.scene=b._splomScenes[lt.uid]),\"array\"===ht){var a=e[ot];\"pointNumber\"in a?(dt.index=a.pointNumber,ht=\"closest\"):(ht=\"\",\"xval\"in a&&(ft=a.xval,ht=\"x\"),\"yval\"in a&&(pt=a.yval,ht=ht?\"closest\":\"y\"))}else void 0!==r&&void 0!==n?(ft=r,pt=n):(ft=nt[ut],pt=it[ut]);if(mt=gt.length,0!==et)if(lt._module&&lt._module.hoverPoints){var s=lt._module.hoverPoints(dt,ft,pt,ht,{finiteRange:!0,hoverLayer:b._hoverlayer,hoversubplots:w,gd:t});if(s)for(var l,c=0;c<s.length;c++)l=s[c],i(l.x0)&&i(l.y0)&&gt.push(N(l,S))}else o.log(\"Unrecognized trace type in hover:\",lt);if(\"closest\"===S&&gt.length>mt&&(gt.splice(0,mt),At=gt[0].distance),M&&0!==rt&&0===gt.length){dt.distance=rt,dt.index=!1;var u=lt._module.hoverPoints(dt,ft,pt,\"closest\",{hoverLayer:b._hoverlayer});if(u&&(u=u.filter((function(t){return t.spikeDistance<=rt}))),u&&u.length){var h,f=u.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(f.length){var p=f[0];i(p.x0)&&i(p.y0)&&(h=Et(p),(!vt.vLinePoint||vt.vLinePoint.spikeDistance>h.spikeDistance)&&(vt.vLinePoint=h))}var m=u.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(m.length){var g=m[0];i(g.x0)&&i(g.y0)&&(h=Et(g),(!vt.hLinePoint||vt.hLinePoint.spikeDistance>h.spikeDistance)&&(vt.hLinePoint=h))}}}}}function St(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)h&&h._id!==t[o].xa._id||p&&p._id!==t[o].ya._id||(n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n));return i}function Et(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}Mt();var Ct={fullLayout:b,container:b._hoverlayer,event:e},Lt=t._spikepoints,It={vLinePoint:vt.vLinePoint,hLinePoint:vt.hLinePoint};t._spikepoints=It;var Pt=function(){var t=gt.filter((function(t){return h&&h._id===t.xa._id&&p&&p._id===t.ya._id})),e=gt.filter((function(t){return!(h&&h._id===t.xa._id&&p&&p._id===t.ya._id)}));t.sort(P),e.sort(P),gt=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];v.traceIs(s.trace,\"bar-like\")||v.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(gt=t.concat(e),S)};Pt();var zt=S.charAt(0),Ot=(\"x\"===zt||\"y\"===zt)&&gt[0]&&I[gt[0].trace.type];if(M&&0!==rt&&0!==gt.length){var Dt=St(gt.filter((function(t){return t.ya.showspikes})),rt,Ot);vt.hLinePoint=Et(Dt);var Rt=St(gt.filter((function(t){return t.xa.showspikes})),rt,Ot);vt.vLinePoint=Et(Rt)}if(0===gt.length){var Ft=m.unhoverRaw(t,e);return!M||null===vt.hLinePoint&&null===vt.vLinePoint||U(Lt)&&j(t,vt,Ct),Ft}if(M&&U(Lt)&&j(t,vt,Ct),x.isXYhover(ht)&&0!==gt[0].length&&\"splom\"!==gt[0].trace.type){var Bt=gt[0],Nt=(gt=L[Bt.trace.type]?gt.filter((function(t){return t.trace.index===Bt.trace.index})):[Bt]).length;Mt(q(\"x\",Bt,b),q(\"y\",Bt,b));var jt,Ut=[],Vt={},qt=0,Ht=function(t){var e=L[t.trace.type]?z(t):t.trace.index;if(Vt[e]){var r=Vt[e]-1,n=Ut[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(Ut[r]=t)}else qt++,Vt[e]=qt,Ut.push(t)};for(jt=0;jt<Nt;jt++)Ht(gt[jt]);for(jt=gt.length-1;jt>Nt-1;jt--)Ht(gt[jt]);gt=Ut,Pt()}var Gt=t._hoverdata,Zt=[],Wt=H(t),Yt=G(t);for(at=0;at<gt.length;at++){var Xt=gt[at],$t=x.makeEventData(Xt,Xt.trace,Xt.cd);if(!1!==Xt.hovertemplate){var Jt=!1;Xt.cd[Xt.index]&&Xt.cd[Xt.index].ht&&(Jt=Xt.cd[Xt.index].ht),Xt.hovertemplate=Jt||Xt.trace.hovertemplate||!1}if(Xt.xa&&Xt.ya){var Kt=Xt.x0+Xt.xa._offset,Qt=Xt.x1+Xt.xa._offset,te=Xt.y0+Xt.ya._offset,ee=Xt.y1+Xt.ya._offset,re=Math.min(Kt,Qt),ne=Math.max(Kt,Qt),ie=Math.min(te,ee),ae=Math.max(te,ee);$t.bbox={x0:re+Yt,x1:ne+Yt,y0:ie+Wt,y1:ae+Wt}}Xt.eventData=[$t],Zt.push($t)}t._hoverdata=Zt;var oe=\"y\"===S&&(yt.length>1||gt.length>1)||\"closest\"===S&&xt&&gt.length>1,se=d.combine(b.plot_bgcolor||d.background,b.paper_bgcolor),le=D(gt,{gd:t,hovermode:S,rotateLabels:oe,bgColor:se,container:b._hoverlayer,outerContainer:b._paper.node(),commonLabelOpts:b.hoverlabel,hoverdistance:b.hoverdistance}),ce=le.hoverLabels;if(x.isUnifiedHover(S)||(function(t,e,r,n){var i,a,o,s,l,c,u,h=e?\"xa\":\"ya\",f=e?\"ya\":\"xa\",p=0,d=1,m=t.size(),g=new Array(m),y=0,v=n.minX,x=n.maxX,_=n.minY,b=n.maxY,w=function(t){return t*r._invScaleX},T=function(t){return t*r._invScaleY};function k(t){var e=t[0],r=t[t.length-1];if(a=e.pmin-e.pos-e.dp+e.size,o=r.pos+r.dp+r.size-e.pmax,a>.01){for(l=t.length-1;l>=0;l--)t[l].dp+=a;i=!1}if(!(o<.01)){if(a<-.01){for(l=t.length-1;l>=0;l--)t[l].dp-=o;i=!1}if(i){var n=0;for(s=0;s<t.length;s++)(c=t[s]).pos+c.dp+c.size>e.pmax&&n++;for(s=t.length-1;s>=0&&!(n<=0);s--)(c=t[s]).pos>e.pmax-1&&(c.del=!0,n--);for(s=0;s<t.length&&!(n<=0);s++)if((c=t[s]).pos<e.pmin+1)for(c.del=!0,n--,o=2*c.size,l=t.length-1;l>=0;l--)t[l].dp-=o;for(s=t.length-1;s>=0&&!(n<=0);s--)(c=t[s]).pos+c.dp+c.size>e.pmax&&(c.del=!0,n--)}}}for(t.each((function(t){var n=t[h],i=t[f],a=\"x\"===n._id.charAt(0),o=n.range;0===y&&o&&o[0]>o[1]!==a&&(d=-1);var s=0,l=a?r.width:r.height;if(\"x\"===r.hovermode||\"y\"===r.hovermode){var c,u,p=F(t,e),m=t.anchor,k=\"end\"===m?-1:1;if(\"middle\"===m)u=(c=t.crossPos+(a?T(p.y-t.by/2):w(t.bx/2+t.tx2width/2)))+(a?T(t.by):w(t.bx));else if(a)u=(c=t.crossPos+T(E+p.y)-T(t.by/2-E))+T(t.by);else{var M=w(k*E+p.x),S=M+w(k*t.bx);c=t.crossPos+Math.min(M,S),u=t.crossPos+Math.max(M,S)}a?void 0!==_&&void 0!==b&&Math.min(u,b)-Math.max(c,_)>1&&(\"left\"===i.side?(s=i._mainLinePosition,l=r.width):l=i._mainLinePosition):void 0!==v&&void 0!==x&&Math.min(u,x)-Math.max(c,v)>1&&(\"top\"===i.side?(s=i._mainLinePosition,l=r.height):l=i._mainLinePosition)}g[y++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(a?A:1)/2,pmin:s,pmax:l}]})),g.sort((function(t,e){return t[0].posref-e[0].posref||d*(e[0].traceIndex-t[0].traceIndex)}));!i&&p<=m;){for(p++,i=!0,s=0;s<g.length-1;){var M=g[s],S=g[s+1],C=M[M.length-1],L=S[0];if((a=C.pos+C.dp+C.size-L.pos-L.dp+L.size)>.01){for(l=S.length-1;l>=0;l--)S[l].dp+=a;for(M.push.apply(M,S),g.splice(s+1,1),u=0,l=M.length-1;l>=0;l--)u+=M[l].dp;for(o=u/M.length,l=M.length-1;l>=0;l--)M[l].dp-=o;i=!1}else s++}g.forEach(k)}for(s=g.length-1;s>=0;s--){var I=g[s];for(l=I.length-1;l>=0;l--){var P=I[l],z=P.datum;z.offset=P.dp,z.del=P.del}}}(ce,oe,b,le.commonLabelBoundingBox),B(ce,oe,b._invScaleX,b._invScaleY)),l&&l.tagName){var ue=v.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,Zt);f(n.select(l),ue?\"pointer\":\"\")}l&&!a&&function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Gt)&&(Gt&&t.emit(\"plotly_unhover\",{event:e,points:Gt}),t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:$,yaxes:J,xvals:nt,yvals:it}))}(t,e,r,a,l)}))},e.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=H(i),o=G(i),s=D(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,c=t.eventData;if(c){var u=Math.min(r,n),h=Math.max(r,n),f=Math.min(s,l),p=Math.max(s,l),m=t.trace;if(v.traceIs(m,\"gl3d\")){var g=i._fullLayout[m.scene]._scene.container,y=g.offsetLeft,x=g.offsetTop;u+=y,h+=y,f+=x,p+=x}c.bbox={x0:u+o,x1:h+o,y0:f+a,y1:p+a},e.inOut_bbox&&e.inOut_bbox.push(c.bbox)}else c=!1;return{color:t.color||d.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,fontWeight:t.fontWeight,fontStyle:t.fontStyle,fontVariant:t.fontVariant,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:c}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||d.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}).hoverLabels,l=0,c=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<l?l-n+5:0,l=n+t.by+t.offset,r===e.anchorIndex&&(c=t.offset)})).each((function(t){t.offset-=c})),B(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var O=/<extra>([\\s\\S]*)<\\/extra>/;function D(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,s=e.rotateLabels,u=e.bgColor,f=e.container,m=e.outerContainer,g=e.commonLabelOpts||{};if(0===t.length)return[[]];var y=e.fontFamily||_.HOVERFONT,k=e.fontSize||_.HOVERFONTSIZE,A=e.fontWeight||i.font.weight,M=e.fontStyle||i.font.style,S=e.fontVariant||i.font.variant,L=e.fontTextcase||i.font.textcase,I=e.fontLineposition||i.font.lineposition,P=e.fontShadow||i.font.shadow,O=t[0],D=O.xa,F=O.ya,B=a.charAt(0),N=B+\"Label\",j=O[N];if(void 0===j&&\"multicategory\"===D.type)for(var U=0;U<t.length&&void 0===(j=t[U][N]);U++);var V=Z(r,m),q=V.top,H=V.width,G=V.height,W=void 0!==j&&O.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(W){var Y,X,$=!0;for(Y=0;Y<t.length;Y++)if($&&void 0===t[Y].zLabel&&($=!1),X=t[Y].hoverinfo||t[Y].trace.hoverinfo){var J=Array.isArray(X)?X:X.split(\"+\");if(-1===J.indexOf(\"all\")&&-1===J.indexOf(a)){W=!1;break}}$&&(W=!1)}var K=f.selectAll(\"g.axistext\").data(W?[0]:[]);K.enter().append(\"g\").classed(\"axistext\",!0),K.exit().remove();var Q={minX:0,maxX:0,minY:0,maxY:0};if(K.each((function(){var t=n.select(this),e=o.ensureSingle(t,\"path\",\"\",(function(t){t.style({\"stroke-width\":\"1px\"})})),s=o.ensureSingle(t,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),c=g.bgcolor||d.defaultLine,u=g.bordercolor||d.contrast(c),f=d.contrast(c),m=g.font,v={weight:m.weight||A,style:m.style||M,variant:m.variant||S,textcase:m.textcase||L,lineposition:m.lineposition||I,shadow:m.shadow||P,family:m.family||y,size:m.size||k,color:m.color||f};e.style({fill:c,stroke:u}),s.text(j).call(p.font,v).call(h.positionText,0,0).call(h.convertToTspans,r),t.attr(\"transform\",\"\");var x,_,b=Z(r,s.node());if(\"x\"===a){var w=\"top\"===D.side?\"-\":\"\";s.attr(\"text-anchor\",\"middle\").call(h.positionText,0,\"top\"===D.side?q-b.bottom-E-C:q-b.top+E+C),x=D._offset+(O.x0+O.x1)/2,_=F._offset+(\"top\"===D.side?0:F._length);var T=b.width/2+C,z=x;x<T?z=T:x>i.width-T&&(z=i.width-T),e.attr(\"d\",\"M\"+(x-z)+\",0L\"+(x-z+E)+\",\"+w+E+\"H\"+T+\"v\"+w+(2*C+b.height)+\"H\"+-T+\"V\"+w+E+\"H\"+(x-z-E)+\"Z\"),x=z,Q.minX=x-T,Q.maxX=x+T,\"top\"===D.side?(Q.minY=_-(2*C+b.height),Q.maxY=_-C):(Q.minY=_+C,Q.maxY=_+(2*C+b.height))}else{var R,B,N;\"right\"===F.side?(R=\"start\",B=1,N=\"\",x=D._offset+D._length):(R=\"end\",B=-1,N=\"-\",x=D._offset),_=F._offset+(O.y0+O.y1)/2,s.attr(\"text-anchor\",R),e.attr(\"d\",\"M0,0L\"+N+E+\",\"+E+\"V\"+(C+b.height/2)+\"h\"+N+(2*C+b.width)+\"V-\"+(C+b.height/2)+\"H\"+N+E+\"V-\"+E+\"Z\"),Q.minY=_-(C+b.height/2),Q.maxY=_+(C+b.height/2),\"right\"===F.side?(Q.minX=x+E,Q.maxX=x+E+(2*C+b.width)):(Q.minX=x-E-(2*C+b.width),Q.maxX=x-E);var U,V=b.height/2,H=q-b.top-V,G=\"clip\"+i._uid+\"commonlabel\"+F._id;if(x<b.width+2*C+E){U=\"M-\"+(E+C)+\"-\"+V+\"h-\"+(b.width-C)+\"V\"+V+\"h\"+(b.width-C)+\"Z\";var W=b.width-x+C;h.positionText(s,W,H),\"end\"===R&&s.selectAll(\"tspan\").each((function(){var t=n.select(this),e=p.tester.append(\"text\").text(t.text()).call(p.font,v),i=Z(r,e.node());Math.round(i.width)<Math.round(b.width)&&t.attr(\"x\",W-i.width),e.remove()}))}else h.positionText(s,B*(C+E),H),U=null;var Y=i._topclips.selectAll(\"#\"+G).data(U?[0]:[]);Y.enter().append(\"clipPath\").attr(\"id\",G).append(\"path\"),Y.exit().remove(),Y.select(\"path\").attr(\"d\",U),p.setClipUrl(s,U?G:null,r)}t.attr(\"transform\",l(x,_))})),x.isUnifiedHover(a)){f.selectAll(\"g.hovertext\").remove();var tt=t.filter((function(t){return\"none\"!==t.hoverinfo}));if(0===tt.length)return[];var et=i.hoverlabel,rt=et.font,nt={showlegend:!0,legend:{title:{text:j,font:rt},font:rt,bgcolor:et.bgcolor,bordercolor:et.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},it={font:rt};b(nt,it,r._fullData);var at=it.legend;at.entries=[];for(var ot=0;ot<tt.length;ot++){var st=tt[ot];if(\"none\"!==st.hoverinfo){var lt=R(st,!0,a,i,j),ct=lt[0],ut=lt[1];st.name=ut,st.text=\"\"!==ut?ut+\" : \"+ct:ct;var ht=st.cd[st.index];ht&&(ht.mc&&(st.mc=ht.mc),ht.mcc&&(st.mc=ht.mcc),ht.mlc&&(st.mlc=ht.mlc),ht.mlcc&&(st.mlc=ht.mlcc),ht.mlw&&(st.mlw=ht.mlw),ht.mrc&&(st.mrc=ht.mrc),ht.dir&&(st.dir=ht.dir)),st._distinct=!0,at.entries.push([st])}}at.entries.sort((function(t,e){return t[0].trace.index-e[0].trace.index})),at.layer=f,at._inHover=!0,at._groupTitleFont=et.grouptitlefont,w(r,at);var 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0),-1===p.indexOf(\"name\")&&(t.name=void 0)),t}function j(t,e,r){var n,i,o=r.container,s=r.fullLayout,l=s._size,c=r.event,u=!!e.hLinePoint,h=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),h||u){var f=d.combine(s.plot_bgcolor,s.paper_bgcolor);if(u){var m,y,v=e.hLinePoint;n=v&&v.xa,\"cursor\"===(i=v&&v.ya).spikesnap?(m=c.pointerX,y=c.pointerY):(m=n._offset+v.x,y=i._offset+v.y);var x,_,b=a.readability(v.color,f)<1.5?d.contrast(f):v.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||b,A=g.getPxPosition(t,i);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=A,_=m),-1!==w.indexOf(\"across\")){var 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n=r(80337),i=r(10229);t.exports={_isSubplotObj:!0,visible:{valType:\"boolean\",dflt:!0,editType:\"legend\"},bgcolor:{valType:\"color\",editType:\"legend\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"legend\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"legend\"},font:n({editType:\"legend\"}),grouptitlefont:n({editType:\"legend\"}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"v\",editType:\"legend\"},traceorder:{valType:\"flaglist\",flags:[\"reversed\",\"grouped\"],extras:[\"normal\"],editType:\"legend\"},tracegroupgap:{valType:\"number\",min:0,dflt:10,editType:\"legend\"},entrywidth:{valType:\"number\",min:0,editType:\"legend\"},entrywidthmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"pixels\",editType:\"legend\"},indentation:{valType:\"number\",min:-15,dflt:0,editType:\"legend\"},itemsizing:{valType:\"enumerated\",values:[\"trace\",\"constant\"],dflt:\"trace\",editType:\"legend\"},itemwidth:{valType:\"number\",min:30,dflt:30,editType:\"legend\"},itemclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggle\",editType:\"legend\"},itemdoubleclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggleothers\",editType:\"legend\"},groupclick:{valType:\"enumerated\",values:[\"toggleitem\",\"togglegroup\"],dflt:\"togglegroup\",editType:\"legend\"},x:{valType:\"number\",editType:\"legend\"},xref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"legend\"},y:{valType:\"number\",editType:\"legend\"},yref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"legend\"},uirevision:{valType:\"any\",editType:\"none\"},valign:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"middle\",editType:\"legend\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"legend\"},font:n({editType:\"legend\"}),side:{valType:\"enumerated\",values:[\"top\",\"left\",\"top 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V,q=i.ensureSingle(N,\"g\",\"scrollbox\"),H=f.title;f._titleWidth=0,f._titleHeight=0,H.text?((V=i.ensureSingle(q,\"text\",w+\"titletext\")).attr(\"text-anchor\",\"start\").call(c.font,H.font).text(H.text),C(V,q,t,f,b)):q.selectAll(\".\"+w+\"titletext\").remove();var G=i.ensureSingle(N,\"rect\",\"scrollbar\",(function(t){t.attr(p.scrollBarEnterAttrs).call(u.fill,p.scrollBarColor)})),Z=q.selectAll(\"g.groups\").data(S);Z.enter().append(\"g\").attr(\"class\",\"groups\"),Z.exit().remove();var W=Z.selectAll(\"g.traces\").data(i.identity);W.enter().append(\"g\").attr(\"class\",\"traces\"),W.exit().remove(),W.style(\"opacity\",(function(t){var e=t[0].trace;return o.traceIs(e,\"pie-like\")?-1!==B.indexOf(t[0].label)?.5:1:\"legendonly\"===e.visible?.5:1})).each((function(){n.select(this).call(M,t,f)})).call(x,t,f).each((function(){T||n.select(this).call(E,t,w)})),i.syncOrAsync([a.previousPromises,function(){return function(t,e,r,i){var a=t._fullLayout,o=P(i);i||(i=a[o]);var 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P=S,z=E;S=k?i.constrain(S,0,d.width-f._width):P,E=M?i.constrain(E,0,d.height-f._effHeight):z,S!==P&&i.log(\"Constrain \"+w+\".x to make legend fit inside graph\"),E!==z&&i.log(\"Constrain \"+w+\".y to make legend fit inside graph\")}c.setTranslate(N,S,E)}if(G.on(\".drag\",null),N.on(\"wheel\",null),T||f._height<=f._maxHeight||t._context.staticPlot){var O=f._effHeight;T&&(O=f._height),U.attr({width:f._width-b,height:O-b,x:b/2,y:b/2}),c.setTranslate(q,0,0),j.select(\"rect\").attr({width:f._width-2*b,height:O-2*b,x:b,y:b}),c.setClipUrl(q,r,t),c.setRect(G,0,0,0,0),delete f._scrollY}else{var D,R,F,B=Math.max(p.scrollBarMinHeight,f._effHeight*f._effHeight/f._height),Z=f._effHeight-B-2*p.scrollBarMargin,W=f._height-f._effHeight,Y=Z/W,X=Math.min(f._scrollY||0,W);U.attr({width:f._width-2*b+p.scrollBarWidth+p.scrollBarMargin,height:f._effHeight-b,x:b/2,y:b/2}),j.select(\"rect\").attr({width:f._width-2*b+p.scrollBarWidth+p.scrollBarMargin,height:f._effHeight-2*b,x:b,y:b+X}),c.setClipUrl(q,r,t),K(X,B,Y),N.on(\"wheel\",(function(){K(X=i.constrain(f._scrollY+n.event.deltaY/Z*W,0,W),B,Y),0!==X&&X!==W&&n.event.preventDefault()}));var $=n.behavior.drag().on(\"dragstart\",(function(){var t=n.event.sourceEvent;D=\"touchstart\"===t.type?t.changedTouches[0].clientY:t.clientY,F=X})).on(\"drag\",(function(){var t=n.event.sourceEvent;2===t.buttons||t.ctrlKey||(R=\"touchmove\"===t.type?t.changedTouches[0].clientY:t.clientY,X=function(t,e,r){var n=(r-e)/Y+t;return i.constrain(n,0,W)}(F,D,R),K(X,B,Y))}));G.call($);var J=n.behavior.drag().on(\"dragstart\",(function(){var t=n.event.sourceEvent;\"touchstart\"===t.type&&(D=t.changedTouches[0].clientY,F=X)})).on(\"drag\",(function(){var t=n.event.sourceEvent;\"touchmove\"===t.type&&(R=t.changedTouches[0].clientY,X=function(t,e,r){var n=(e-r)/Y+t;return i.constrain(n,0,W)}(F,D,R),K(X,B,Y))}));q.call(J)}function K(e,r,n){f._scrollY=t._fullLayout[w]._scrollY=e,c.setTranslate(q,0,-e),c.setRect(G,f._width,p.scrollBarMargin+e*n,p.scrollBarWidth,r),j.select(\"rect\").attr(\"y\",b+e)}t._context.edits.legendPosition&&(N.classed(\"cursor-move\",!0),l.init({element:N.node(),gd:t,prepFn:function(t){if(t.target!==G.node()){var e=c.getTranslate(N);v=e.x,x=e.y}},moveFn:function(t,r){if(void 0!==v&&void 0!==x){var n=v+t,i=x+r;c.setTranslate(N,n,i),e=l.align(n,f._width,_.l,_.l+_.w,f.xanchor),u=l.align(i+f._height,-f._height,_.t+_.h,_.t,f.yanchor)}},doneFn:function(){if(void 0!==e&&void 0!==u){var r={};r[w+\".x\"]=e,r[w+\".y\"]=u,o.call(\"_guiRelayout\",t,r)}},clickFn:function(e,r){var n=s.selectAll(\"g.traces\").filter((function(){var t=this.getBoundingClientRect();return r.clientX>=t.left&&r.clientX<=t.right&&r.clientY>=t.top&&r.clientY<=t.bottom}));n.size()>0&&A(t,N,n,e,r)}}))}],t)}}function k(t,e,r){var n=t[0],i=n.width,a=e.entrywidthmode,o=n.trace.legendwidth||e.entrywidth;return\"fraction\"===a?e._maxWidth*o:r+(o||i)}function A(t,e,r,n,i){var a=r.data()[0][0].trace,l={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};a._group&&(l.group=a._group),o.traceIs(a,\"pie-like\")&&(l.label=r.datum()[0].label);var c=s.triggerHandler(t,\"plotly_legendclick\",l);if(1===n){if(!1===c)return;e._clickTimeout=setTimeout((function(){t._fullLayout&&f(r,t,n)}),t._context.doubleClickDelay)}else 2===n&&(e._clickTimeout&&clearTimeout(e._clickTimeout),t._legendMouseDownTime=0,!1!==s.triggerHandler(t,\"plotly_legenddoubleclick\",l)&&!1!==c&&f(r,t,n))}function M(t,e,r){var n,a,s=P(r),l=t.data()[0][0],u=l.trace,f=o.traceIs(u,\"pie-like\"),d=!r._inHover&&e._context.edits.legendText&&!f,m=r._maxNameLength;l.groupTitle?(n=l.groupTitle.text,a=l.groupTitle.font):(a=r.font,r.entries?n=l.text:(n=f?l.label:u.name,u._meta&&(n=i.templateString(n,u._meta))));var g=i.ensureSingle(t,\"text\",s+\"text\");g.attr(\"text-anchor\",\"start\").call(c.font,a).text(d?S(n,m):n);var y=r.indentation+r.itemwidth+2*p.itemGap;h.positionText(g,y,0),d?g.call(h.makeEditable,{gd:e,text:n}).call(C,t,e,r).on(\"edit\",(function(n){this.text(S(n,m)).call(C,t,e,r);var a=l.trace._fullInput||{},s={};if(o.hasTransform(a,\"groupby\")){var c=o.getTransformIndices(a,\"groupby\"),h=c[c.length-1],f=i.keyedContainer(a,\"transforms[\"+h+\"].styles\",\"target\",\"value.name\");f.set(l.trace._group,n),s=f.constructUpdate()}else 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a=t.select(\"g[class*=math-group]\"),o=a.node(),s=P(r);r||(r=e._fullLayout[s]);var l,u,f=r.borderwidth,d=(n===b?r.title.font:i.groupTitle?i.groupTitle.font:r.font).size*m;if(o){var g=c.bBox(o);l=g.height,u=g.width,n===b?c.setTranslate(a,f,f+.75*l):c.setTranslate(a,0,.25*l)}else{var y=\".\"+s+(n===b?\"title\":\"\")+\"text\",v=t.select(y),x=h.lineCount(v),_=v.node();if(l=d*x,u=_?c.bBox(_).width:0,n===b)\"left\"===r.title.side&&(u+=2*p.itemGap),h.positionText(v,f+p.titlePad,f+d);else{var w=2*p.itemGap+r.indentation+r.itemwidth;i.groupTitle&&(w=p.itemGap,u-=r.indentation+r.itemwidth),h.positionText(v,w,-d*((x-1)/2-.3))}}n===b?(r._titleWidth=u,r._titleHeight=l):(i.lineHeight=d,i.height=Math.max(l,16)+3,i.width=u)}else t.remove()}(e,r,n,i)}))}function L(t){return i.isRightAnchor(t)?\"right\":i.isCenterAnchor(t)?\"center\":\"left\"}function I(t){return i.isBottomAnchor(t)?\"bottom\":i.isMiddleAnchor(t)?\"middle\":\"top\"}function P(t){return t._id||\"legend\"}t.exports=function(t,e){if(e)T(t,e);else{var r=t._fullLayout,i=r._legends;r._infolayer.selectAll('[class^=\"legend\"]').each((function(){var t=n.select(this),e=t.attr(\"class\").split(\" \")[0];e.match(w)&&-1===i.indexOf(e)&&t.remove()}));for(var a=0;a<i.length;a++){var o=i[a];T(t,t._fullLayout[o])}}}},851:function(t,e,r){\"use strict\";var n=r(33626),i=r(57599);t.exports=function(t,e,r){var a,o,s=e._inHover,l=i.isGrouped(e),c=i.isReversed(e),u={},h=[],f=!1,p={},d=0,m=0;function g(t,n,a){if(!1!==e.visible&&(!r||t===e._id))if(\"\"!==n&&i.isGrouped(e))-1===h.indexOf(n)?(h.push(n),f=!0,u[n]=[a]):u[n].push(a);else{var o=\"~~i\"+d;h.push(o),u[o]=[a],d++}}for(a=0;a<t.length;a++){var y=t[a],v=y[0],x=v.trace,_=x.legend,b=x.legendgroup;if(s||x.visible&&x.showlegend)if(n.traceIs(x,\"pie-like\"))for(p[b]||(p[b]={}),o=0;o<y.length;o++){var w=y[o].label;p[b][w]||(g(_,b,{label:w,color:y[o].color,i:y[o].i,trace:x,pts:y[o].pts}),p[b][w]=!0,m=Math.max(m,(w||\"\").length))}else g(_,b,v),m=Math.max(m,(x.name||\"\").length)}if(!h.length)return[];var T=!f||!l,k=[];for(a=0;a<h.length;a++){var A=u[h[a]];T?k.push(A[0]):k.push(A)}for(T&&(k=[k]),a=0;a<k.length;a++){var M=1/0;for(o=0;o<k[a].length;o++){var S=k[a][o].trace.legendrank;M>S&&(M=S)}k[a][0]._groupMinRank=M,k[a][0]._preGroupSort=a}var E=function(t,e){return t.trace.legendrank-e.trace.legendrank||t._preSort-e._preSort};for(k.forEach((function(t,e){t[0]._preGroupSort=e})),k.sort((function(t,e){return t[0]._groupMinRank-e[0]._groupMinRank||t[0]._preGroupSort-e[0]._preGroupSort})),a=0;a<k.length;a++){k[a].forEach((function(t,e){t._preSort=e})),k[a].sort(E);var C=k[a][0].trace,L=null;for(o=0;o<k[a].length;o++){var I=k[a][o].trace.legendgrouptitle;if(I&&I.text){L=I,s&&(I.font=e._groupTitleFont);break}}if(c&&k[a].reverse(),L){var P=!1;for(o=0;o<k[a].length;o++)if(n.traceIs(k[a][o].trace,\"pie-like\")){P=!0;break}k[a].unshift({i:-1,groupTitle:L,noClick:P,trace:{showlegend:C.showlegend,legendgroup:C.legendgroup,visible:\"toggleitem\"===e.groupclick||C.visible}})}for(o=0;o<k[a].length;o++)k[a][o]=[k[a][o]]}return e._lgroupsLength=k.length,e._maxNameLength=m,k}},22165:function(t,e,r){\"use strict\";var n=r(33626),i=r(34809),a=i.pushUnique,o=!0;t.exports=function(t,e,r){var s=e._fullLayout;if(!e._dragged&&!e._editing){var l,c=s.legend.itemclick,u=s.legend.itemdoubleclick,h=s.legend.groupclick;if(1===r&&\"toggle\"===c&&\"toggleothers\"===u&&o&&e.data&&e._context.showTips?(i.notifier(i._(e,\"Double-click on legend to isolate one trace\"),\"long\"),o=!1):o=!1,1===r?l=c:2===r&&(l=u),l){var f=\"togglegroup\"===h,p=s.hiddenlabels?s.hiddenlabels.slice():[],d=t.data()[0][0];if(!d.groupTitle||!d.noClick){var m=e._fullData,g=(s.shapes||[]).filter((function(t){return 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r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),h(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),b(t,\"geo\"),b(t,\"mapbox\"),b(t,\"map\")}},u.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return c(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},u.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return c(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){b(t,\"mapbox\")}},u.resetViewMap={name:\"resetViewMap\",_cat:\"resetView\",title:function(t){return c(t,\"Reset 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n=r(5832),i=Object.keys(n),a=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],o=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),t.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},17683:function(t,e,r){\"use strict\";var n=r(34809),i=r(78766),a=r(78032),o=r(50308);t.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var c=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(c,.3)),l(\"activecolor\",i.addOpacity(c,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},95433:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:r(50308),supplyLayoutDefaults:r(17683),manage:r(75442)}},75442:function(t,e,r){\"use strict\";var n=r(5975),i=r(64726),a=r(33626),o=r(36040).isUnifiedHover,s=r(85393),l=r(5832),c=r(87632).DRAW_MODES,u=r(34809).extendDeep;t.exports=function(t){var e=t._fullLayout,r=t._context,h=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var f,p=r.modeBarButtons;f=Array.isArray(p)&&p.length?function(t){for(var e=u([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if(\"string\"==typeof a){if(void 0===l[a])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" 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e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),E=o(e.hovermode),C=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,c=0;c<d.length;c++){var u=d[c].toLowerCase();if(u===a||u===o){s=!0;break}}s||e.push(l[n])}C.push(e)}}var I=[\"toImage\"];s.showEditInChartStudio?I.push(\"editInChartStudio\"):s.showSendToCloud&&I.push(\"sendDataToCloud\"),L(I);var P=[],z=[],O=[],D=[];(m||_||v||x||b)+y+g+w+T+k+A>1?(z=[\"toggleHover\"],O=[\"resetViews\"]):y?(P=[\"zoomInGeo\",\"zoomOutGeo\"],z=[\"hoverClosestGeo\"],O=[\"resetGeo\"]):g?(z=[\"hoverClosest3d\"],O=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],z=[\"toggleHover\"],O=[\"resetViewMapbox\"]):T?(P=[\"zoomInMap\",\"zoomOutMap\"],z=[\"toggleHover\"],O=[\"resetViewMap\"]):_?z=[\"hoverClosestGl2d\"]:v?z=[\"hoverClosestPie\"]:M?(z=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],O=[\"resetViewSankey\"]):z=[\"toggleHover\"],m&&z.push(\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"),(function(t){for(var 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w=\"top\";l.isBottomAnchor(r)&&(_-=f,w=\"bottom\"),l.isMiddleAnchor(r)&&(_-=f/2,w=\"middle\"),h=Math.ceil(h),f=Math.ceil(f),x=Math.round(x),_=Math.round(_),a.autoMargin(t,i+\"-range-selector\",{x:r.x,y:r.y,l:h*d[b],r:h*m[b],b:f*m[w],t:f*d[w]}),o.attr(\"transform\",c(x,_))}(t,f,h,o._name,r)}))}},16383:function(t,e,r){\"use strict\";var n=r(50936),i=r(34809).titleCase;t.exports=function(t,e){var r=t._name,a={};if(\"all\"===e.step)a[r+\".autorange\"]=!0;else{var o=function(t,e){var r,a=t.range,o=new Date(t.r2l(a[1])),s=e.step,l=n[\"utc\"+i(s)],c=e.count;switch(e.stepmode){case\"backward\":r=t.l2r(+l.offset(o,-c));break;case\"todate\":var u=l.offset(o,-c);r=t.l2r(+l.ceil(u))}return[r,a[1]]}(t,e);a[r+\".range[0]\"]=o[0],a[r+\".range[1]\"]=o[1]}return a}},44453:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"rangeselector\",schema:{subplots:{xaxis:{rangeselector:r(91032)}}},layoutAttributes:r(91032),handleDefaults:r(86255),draw:r(45431)}},63608:function(t,e,r){\"use 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n=r(34809),i=r(78032),a=r(5975),o=r(63608),s=r(66249);t.exports=function(t,e,r){var l=t[r],c=e[r];if(l.rangeslider||e._requestRangeslider[c._id]){n.isPlainObject(l.rangeslider)||(l.rangeslider={});var u,h,f=l.rangeslider,p=i.newContainer(c,\"rangeslider\");if(b(\"visible\")){b(\"bgcolor\",e.plot_bgcolor),b(\"bordercolor\"),b(\"borderwidth\"),b(\"thickness\"),b(\"autorange\",!c.isValidRange(f.range)),b(\"range\");var d=e._subplots;if(d)for(var m=d.cartesian.filter((function(t){return t.substr(0,t.indexOf(\"y\"))===a.name2id(r)})).map((function(t){return t.substr(t.indexOf(\"y\"),t.length)})),g=n.simpleMap(m,a.id2name),y=0;y<g.length;y++){var v=g[y];u=f[v]||{},h=i.newContainer(p,v,\"yaxis\");var x,_=e[v];u.range&&_.isValidRange(u.range)&&(x=\"fixed\"),\"match\"!==w(\"rangemode\",x)&&w(\"range\",_.range.slice())}p._input=f}}function b(t,e){return n.coerce(f,p,o,t,e)}function w(t,e){return n.coerce(u,h,s,t,e)}}},88887:function(t,e,r){\"use strict\";var 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b(t,e,r,n){e._context.staticPlot||o.ensureSingle(t,\"rect\",m.slideBoxClassName,(function(t){t.attr({y:0,cursor:m.slideBoxCursor,\"shape-rendering\":\"crispEdges\"})})).attr({height:n._height,fill:m.slideBoxFill})}function w(t,e,r,n){var i=o.ensureSingle(t,\"g\",m.grabberMinClassName),a=o.ensureSingle(t,\"g\",m.grabberMaxClassName),s={x:0,width:m.handleWidth,rx:m.handleRadius,fill:c.background,stroke:c.defaultLine,\"stroke-width\":m.handleStrokeWidth,\"shape-rendering\":\"crispEdges\"},l={y:Math.round(n._height/4),height:Math.round(n._height/2)};o.ensureSingle(i,\"rect\",m.handleMinClassName,(function(t){t.attr(s)})).attr(l),o.ensureSingle(a,\"rect\",m.handleMaxClassName,(function(t){t.attr(s)})).attr(l);var u={width:m.grabAreaWidth,x:0,y:0,fill:m.grabAreaFill,cursor:e._context.staticPlot?void 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T,k=o.simpleMap(l.range,r.r2l),A=o.simpleMap(r.range,r.r2l);T=A[0]<A[1]?[Math.min(k[0],A[0]),Math.max(k[1],A[1])]:[Math.max(k[0],A[0]),Math.min(k[1],A[1])],l.range=l._input.range=o.simpleMap(T,r.l2r)}r.cleanRange(\"rangeslider.range\");var M=e._size,S=r.domain;l._width=M.w*(S[1]-S[0]);var E=Math.round(M.l+M.w*S[0]),C=Math.round(M.t+M.h*(1-r._counterDomainMin)+(\"bottom\"===r.side?r._depth:0)+l._offsetShift+m.extraPad);a.attr(\"transform\",s(E,C)),l._rl=o.simpleMap(l.range,r.r2l);var L=l._rl[0],I=l._rl[1],P=I-L;if(l.p2d=function(t){return t/l._width*P+L},l.d2p=function(t){return(t-L)/P*l._width},r.rangebreaks){var z=r.locateBreaks(L,I);if(z.length){var O,D,R=0;for(O=0;O<z.length;O++)R+=(D=z[O]).max-D.min;var F=l._width/(I-L-R),B=[-F*L];for(O=0;O<z.length;O++)D=z[O],B.push(B[B.length-1]-F*(D.max-D.min));for(l.d2p=function(t){for(var e=B[0],r=0;r<z.length;r++){var n=z[r];if(t>=n.max)e=B[r+1];else if(t<n.min)break}return 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r=t._fullLayout,n=e[s],l=e._id.charAt(0),c=0,u=0;return\"bottom\"===e.side&&(c=e._depth,e.title.text!==r._dfltTitle[l]&&(u=1.5*e.title.font.size+10+n._offsetShift,u+=(e.title.text.match(i.BR_TAG_ALL)||[]).length*e.title.font.size*o)),{x:0,y:e._counterDomainMin,l:0,r:0,t:0,b:n._height+c+Math.max(r.margin.b,u),pad:a.extraPad+2*n._offsetShift}}},55429:function(t,e,r){\"use strict\";var n=r(34809),i=r(63608),a=r(66249),o=r(80400);t.exports={moduleType:\"component\",name:\"rangeslider\",schema:{subplots:{xaxis:{rangeslider:n.extendFlat({},i,{yaxis:a})}}},layoutAttributes:r(63608),handleDefaults:r(41295),calcAutorange:r(46223),draw:r(88887),isVisible:o.isVisible,makeData:o.makeData,autoMarginOpts:o.autoMarginOpts}},66249:function(t){\"use 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w=f(t)&&t._fullLayout._activeSelectionIndex===e;w&&(v=t._fullLayout.activeselection.fillcolor,y=t._fullLayout.activeselection.opacity);for(var T=[],k=1;k>=0;k--){var A=r.append(\"path\").attr(g).style(\"opacity\",k?.1:y).call(o.stroke,x).call(o.fill,v).call(s.dashLine,k?\"solid\":b,k?4+_:_);if(d(A,t,a),w){var M=l(t.layout,\"selections\",a);A.style({cursor:\"move\"});var S={element:A.node(),plotinfo:p,gd:t,editHelpers:M,isActiveSelection:!0},E=n(c,t);i(E,A,S)}else A.style(\"pointer-events\",k?\"all\":\"none\");T[k]=A}var C=T[0];T[1].node().addEventListener(\"click\",(function(){return function(t,e){if(f(t)){var r=+e.node().getAttribute(\"data-index\");if(r>=0){if(r===t._fullLayout._activeSelectionIndex)return void m(t);t._fullLayout._activeSelectionIndex=r,t._fullLayout._deactivateSelection=m,h(t)}}}(t,C)}))}(t._fullLayout._selectionLayer)}function d(t,e,r){var n=r.xref+r.yref;s.setClipUrl(t,\"clip\"+e._fullLayout._uid+n,e)}function m(t){f(t)&&t._fullLayout._activeSelectionIndex>=0&&(a(t),delete t._fullLayout._activeSelectionIndex,h(t))}t.exports={draw:h,drawOne:p,activateLastSelection:function(t){if(f(t)){var e=t._fullLayout.selections.length-1;t._fullLayout._activeSelectionIndex=e,t._fullLayout._deactivateSelection=m,h(t)}}}},52307:function(t,e,r){\"use strict\";var n=r(94850).T,i=r(93049).extendFlat;t.exports={newselection:{mode:{valType:\"enumerated\",values:[\"immediate\",\"gradual\"],dflt:\"immediate\",editType:\"none\"},line:{color:{valType:\"color\",editType:\"none\"},width:{valType:\"number\",min:1,dflt:1,editType:\"none\"},dash:i({},n,{dflt:\"dot\",editType:\"none\"}),editType:\"none\"},editType:\"none\"},activeselection:{fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"none\"},opacity:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"none\"},editType:\"none\"}}},43028:function(t){\"use 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v,x=o(a,c,h,d),_={xref:f._id,yref:p._id,opacity:u.opacity,line:{color:u.line.color,width:u.line.width,dash:u.line.dash}};1===x.length&&(v=x[0]),v&&5===v.length&&\"select\"===m?(_.type=\"rect\",_.x0=v[0][1],_.y0=v[0][2],_.x1=v[2][1],_.y1=v[2][2]):(_.type=\"path\",f&&p&&l(x,f,p),_.path=s(x),v=null),i(c);for(var b=e.editHelpers,w=(b||{}).modifyItem,T=[],k=0;k<g.length;k++){var A=c._fullLayout.selections[k];if(A){if(T[k]=A._input,void 0!==d&&k===c._fullLayout._activeSelectionIndex){var M=_;switch(A.type){case\"rect\":w(\"x0\",M.x0),w(\"x1\",M.x1),w(\"y0\",M.y0),w(\"y1\",M.y1);break;case\"path\":w(\"path\",M.path)}}}else T[k]=A}return void 0===d?(T.push(_),T):b?b.getUpdateObj():{}}}}},49801:function(t,e,r){\"use strict\";var n=r(34809).strTranslate;function i(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}t.exports={p2r:i,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return i(t,r[e])}},getTransform:function(t){return n(t.xaxis._offset,t.yaxis._offset)}}},44844:function(t,e,r){\"use strict\";var n=r(7028),i=r(88666);t.exports={moduleType:\"component\",name:\"selections\",layoutAttributes:r(4327),supplyLayoutDefaults:r(2272),supplyDrawNewSelectionDefaults:r(43028),includeBasePlot:r(20706)(\"selections\"),draw:n.draw,drawOne:n.drawOne,reselect:i.reselect,prepSelect:i.prepSelect,clearOutline:i.clearOutline,clearSelectionsCache:i.clearSelectionsCache,selectOnClick:i.selectOnClick}},88666:function(t,e,r){\"use strict\";var 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p=2*f*Math.PI/a;h.push([s+c*Math.cos(p),l+u*Math.sin(p)])}return h},e.ellipseOver=function(t){var e=t.x0,r=t.y0,n=t.x1,i=t.y1,a=n-e,s=i-r,l=((e-=a)+n)/2,c=((r-=s)+i)/2;return{x0:l-(a*=o),y0:c-(s*=o),x1:l+a,y1:c+s}},e.fixDatesForPaths=function(t,e,r){var n=\"date\"===e.type,i=\"date\"===r.type;if(!n&&!i)return t;for(var a=0;a<t.length;a++)for(var o=0;o<t[a].length;o++)for(var s=0;s+2<t[a][o].length;s+=2)n&&(t[a][o][s+1]=t[a][o][s+1].replace(\" \",\"_\")),i&&(t[a][o][s+2]=t[a][o][s+2].replace(\" \",\"_\"));return t}},87562:function(t,e,r){\"use strict\";var n=r(70414),i=n.drawMode,a=n.openMode,o=r(93391),s=o.i000,l=o.i090,c=o.i180,u=o.i270,h=o.cos45,f=o.sin45,p=r(49801),d=p.p2r,m=p.r2p,g=r(78534).clearOutline,y=r(81055),v=y.readPaths,x=y.writePaths,_=y.ellipseOver,b=y.fixDatesForPaths;function w(t,e,r){var n,i=t[0][0],o=e.gd,p=i.getAttribute(\"d\"),g=o._fullLayout.newshape,y=e.plotinfo,w=e.isActiveShape,T=y.xaxis,k=y.yaxis,A=!!y.domain||!y.xaxis,M=!!y.domain||!y.yaxis,S=a(r),E=v(p,o,y,w),C={editable:!0,visible:g.visible,name:g.name,showlegend:g.showlegend,legend:g.legend,legendwidth:g.legendwidth,legendgroup:g.legendgroup,legendgrouptitle:{text:g.legendgrouptitle.text,font:g.legendgrouptitle.font},legendrank:g.legendrank,label:g.label,xref:A?\"paper\":T._id,yref:M?\"paper\":k._id,layer:g.layer,opacity:g.opacity,line:{color:g.line.color,width:g.line.width,dash:g.line.dash}};if(S||(C.fillcolor=g.fillcolor,C.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&\"drawrect\"===r)C.type=\"rect\",C.x0=n[0][1],C.y0=n[0][2],C.x1=n[2][1],C.y1=n[2][2];else if(n&&\"drawline\"===r)C.type=\"line\",C.x0=n[0][1],C.y0=n[0][2],C.x1=n[1][1],C.y1=n[1][2];else if(n&&\"drawcircle\"===r){C.type=\"circle\";var L=n[s][1],I=n[l][1],P=n[c][1],z=n[u][1],O=n[s][2],D=n[l][2],R=n[c][2],F=n[u][2],B=y.xaxis&&(\"date\"===y.xaxis.type||\"log\"===y.xaxis.type),N=y.yaxis&&(\"date\"===y.yaxis.type||\"log\"===y.yaxis.type);B&&(L=m(y.xaxis,L),I=m(y.xaxis,I),P=m(y.xaxis,P),z=m(y.xaxis,z)),N&&(O=m(y.yaxis,O),D=m(y.yaxis,D),R=m(y.yaxis,R),F=m(y.yaxis,F));var j=(I+z)/2,U=(O+R)/2,V=_({x0:j,y0:U,x1:j+(z-I+P-L)/2*h,y1:U+(F-D+R-O)/2*f});B&&(V.x0=d(y.xaxis,V.x0),V.x1=d(y.xaxis,V.x1)),N&&(V.y0=d(y.yaxis,V.y0),V.y1=d(y.yaxis,V.y1)),C.x0=V.x0,C.y0=V.y0,C.x1=V.x1,C.y1=V.y1}else C.type=\"path\",T&&k&&b(E,T,k),C.path=x(E),n=null;return C}t.exports={newShapes:function(t,e){if(t.length&&t[0][0]){var r=e.gd,n=e.isActiveShape,a=e.dragmode,o=(r.layout||{}).shapes||[];if(!i(a)&&void 0!==n){var s=r._fullLayout._activeShapeIndex;if(s<o.length)switch(r._fullLayout.shapes[s].type){case\"rect\":a=\"drawrect\";break;case\"circle\":a=\"drawcircle\";break;case\"line\":a=\"drawline\";break;case\"path\":var l=o[s].path||\"\";a=\"Z\"===l[l.length-1]?\"drawclosedpath\":\"drawopenpath\"}}var c=w(t,e,a);g(r);for(var u=e.editHelpers,h=(u||{}).modifyItem,f=[],p=0;p<o.length;p++){var d=r._fullLayout.shapes[p];if(f[p]=d._input,void 0!==n&&p===r._fullLayout._activeShapeIndex){var m=c;switch(d.type){case\"line\":case\"rect\":case\"circle\":h(\"x0\",m.x0-(d.x0shift||0)),h(\"x1\",m.x1-(d.x1shift||0)),h(\"y0\",m.y0-(d.y0shift||0)),h(\"y1\",m.y1-(d.y1shift||0));break;case\"path\":h(\"path\",m.path)}}}return void 0===n?(f.push(c),f):u?u.getUpdateObj():{}}},createShapeObj:w}},78534:function(t){\"use strict\";t.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove()},clearOutline:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._outlining=!1}}},49728:function(t,e,r){\"use strict\";var n=r(2956),i=r(34809),a=r(29714);function o(t,e){var r=0;return(e=e||0)&&t&&(\"category\"===t.type||\"multicategory\"===t.type)&&(r=(t.r2p(1)-t.r2p(0))*e),r}e.rangeToShapePosition=function(t){return\"log\"===t.type?t.r2d:function(t){return t}},e.shapePositionToRange=function(t){return\"log\"===t.type?t.d2r:function(t){return t}},e.decodeDate=function(t){return function(e){return e.replace&&(e=e.replace(\"_\",\" \")),t(e)}},e.encodeDate=function(t){return function(e){return t(e).replace(\" \",\"_\")}},e.extractPathCoords=function(t,e,r){var a=[];return t.match(n.segmentRE).forEach((function(t){var o=e[t.charAt(0)].drawn;if(void 0!==o){var s=t.substr(1).match(n.paramRE);if(s&&!(s.length<o)){var l=s[o],c=r?l:i.cleanNumber(l);a.push(c)}}})),a},e.getDataToPixel=function(t,r,n,i,a){var s,l=t._fullLayout._size;if(r)if(\"domain\"===a)s=function(t){return r._length*(i?1-t:t)+r._offset};else{var c=e.shapePositionToRange(r);s=function(t){var e=o(r,n);return r._offset+r.r2p(c(t,!0))+e},\"date\"===r.type&&(s=e.decodeDate(s))}else s=i?function(t){return l.t+l.h*(1-t)}:function(t){return l.l+l.w*t};return s},e.getPixelToData=function(t,r,n,i){var a,o=t._fullLayout._size;if(r)if(\"domain\"===i)a=function(t){var e=(t-r._offset)/r._length;return n?1-e:e};else{var s=e.rangeToShapePosition(r);a=function(t){return s(r.p2r(t-r._offset))}}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return(t-o.l)/o.w};return a},e.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},e.makeShapesOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.shapes[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&\"paper\"!==r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&\"paper\"!==r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),n.xsizemode=r.xsizemode,n.ysizemode=r.ysizemode,n.xanchor=r.xanchor,n.yanchor=r.yanchor,{options:r,plotinfo:n}},e.makeSelectionsOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.selections[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),{options:r,plotinfo:n}},e.getPathString=function(t,r){var s,l,c,u,h,f,p,d,m=r.type,g=a.getRefType(r.xref),y=a.getRefType(r.yref),v=a.getFromId(t,r.xref),x=a.getFromId(t,r.yref),_=t._fullLayout._size,b=o(v,r.x0shift),w=o(v,r.x1shift),T=o(x,r.y0shift),k=o(x,r.y1shift);if(v?\"domain\"===g?l=function(t){return v._offset+v._length*t}:(s=e.shapePositionToRange(v),l=function(t){return v._offset+v.r2p(s(t,!0))}):l=function(t){return _.l+_.w*t},x?\"domain\"===y?u=function(t){return x._offset+x._length*(1-t)}:(c=e.shapePositionToRange(x),u=function(t){return x._offset+x.r2p(c(t,!0))}):u=function(t){return _.t+_.h*(1-t)},\"path\"===m)return v&&\"date\"===v.type&&(l=e.decodeDate(l)),x&&\"date\"===x.type&&(u=e.decodeDate(u)),function(t,e,r){var a=t.path,o=t.xsizemode,s=t.ysizemode,l=t.xanchor,c=t.yanchor;return a.replace(n.segmentRE,(function(t){var a=0,u=t.charAt(0),h=n.paramIsX[u],f=n.paramIsY[u],p=n.numParams[u],d=t.substr(1).replace(n.paramRE,(function(t){return h[a]?t=\"pixel\"===o?e(l)+Number(t):e(t):f[a]&&(t=\"pixel\"===s?r(c)-Number(t):r(t)),++a>p&&(t=\"X\"),t}));return a>p&&(d=d.replace(/[\\s,]*X.*/,\"\"),i.log(\"Ignoring extra params in segment \"+t)),u+d}))}(r,l,u);if(\"pixel\"===r.xsizemode){var A=l(r.xanchor);h=A+r.x0+b,f=A+r.x1+w}else h=l(r.x0)+b,f=l(r.x1)+w;if(\"pixel\"===r.ysizemode){var M=u(r.yanchor);p=M-r.y0+T,d=M-r.y1+k}else p=u(r.y0)+T,d=u(r.y1)+k;if(\"line\"===m)return\"M\"+h+\",\"+p+\"L\"+f+\",\"+d;if(\"rect\"===m)return\"M\"+h+\",\"+p+\"H\"+f+\"V\"+d+\"H\"+h+\"Z\";var S=(h+f)/2,E=(p+d)/2,C=Math.abs(S-h),L=Math.abs(E-p),I=\"A\"+C+\",\"+L,P=S+C+\",\"+E;return\"M\"+P+I+\" 0 1,1 \"+S+\",\"+(E-L)+I+\" 0 0,1 \"+P+\"Z\"}},43701:function(t,e,r){\"use strict\";var n=r(28231);t.exports={moduleType:\"component\",name:\"shapes\",layoutAttributes:r(43144),supplyLayoutDefaults:r(74367),supplyDrawNewShapeDefaults:r(85522),includeBasePlot:r(20706)(\"shapes\"),calcAutorange:r(44959),draw:n.draw,drawOne:n.drawOne}},41235:function(t){\"use strict\";function e(t,e){return e?e.d2l(t):t}function r(t,e){return e?e.l2d(t):t}function n(t){return t.x0shift||0}function i(t){return t.x1shift||0}function a(t){return t.y0shift||0}function o(t){return t.y1shift||0}function s(t,r){return e(t.x1,r)+i(t)-e(t.x0,r)-n(t)}function l(t,r,n){return e(t.y1,n)+o(t)-e(t.y0,n)-a(t)}t.exports={x0:function(t){return t.x0},x1:function(t){return t.x1},y0:function(t){return t.y0},y1:function(t){return t.y1},slope:function(t,e,r){return\"line\"!==t.type?void 0:l(t,0,r)/s(t,e)},dx:s,dy:l,width:function(t,e){return Math.abs(s(t,e))},height:function(t,e,r){return Math.abs(l(t,0,r))},length:function(t,e,r){return\"line\"!==t.type?void 0:Math.sqrt(Math.pow(s(t,e),2)+Math.pow(l(t,0,r),2))},xcenter:function(t,a){return r((e(t.x1,a)+i(t)+e(t.x0,a)+n(t))/2,a)},ycenter:function(t,n,i){return r((e(t.y1,i)+o(t)+e(t.y0,i)+a(t))/2,i)}}},8606:function(t,e,r){\"use strict\";var n=r(80337),i=r(57891),a=r(93049).extendDeepAll,o=r(13582).overrideAll,s=r(49722),l=r(78032).templatedArray,c=r(64194),u=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});t.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:u,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:a(i({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:c.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:c.railBgColor},bordercolor:{valType:\"color\",dflt:c.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:c.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:c.tickLength},tickcolor:{valType:\"color\",dflt:c.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:c.minorTickLength}}),\"arraydraw\",\"from-root\")},64194:function(t){\"use strict\";t.exports={name:\"sliders\",containerClassName:\"slider-container\",groupClassName:\"slider-group\",inputAreaClass:\"slider-input-area\",railRectClass:\"slider-rail-rect\",railTouchRectClass:\"slider-rail-touch-rect\",gripRectClass:\"slider-grip-rect\",tickRectClass:\"slider-tick-rect\",inputProxyClass:\"slider-input-proxy\",labelsClass:\"slider-labels\",labelGroupClass:\"slider-label-group\",labelClass:\"slider-label\",currentValueClass:\"slider-current-value\",railHeight:5,menuIndexAttrName:\"slider-active-index\",autoMarginIdRoot:\"slider-\",minWidth:30,minHeight:30,textPadX:40,arrowOffsetX:4,railRadius:2,railWidth:5,railBorder:4,railBorderWidth:1,railBorderColor:\"#bec8d9\",railBgColor:\"#f8fafc\",railInset:8,stepInset:10,gripRadius:10,gripWidth:20,gripHeight:20,gripBorder:20,gripBorderWidth:1,gripBorderColor:\"#bec8d9\",gripBgColor:\"#f6f8fa\",gripBgActiveColor:\"#dbdde0\",labelPadding:8,labelOffset:0,tickWidth:1,tickColor:\"#333\",tickOffset:25,tickLength:7,minorTickOffset:25,minorTickColor:\"#333\",minorTickLength:4,currentValuePadding:8,currentValueInset:0}},74537:function(t,e,r){\"use 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n.coerce(t,e,s,r,i)}if(\"skip\"===t.method||Array.isArray(t.args)?r(\"visible\"):e.visible=!1){r(\"method\"),r(\"args\");var i=r(\"label\",\"step-\"+e._index);r(\"value\",i),r(\"execute\")}}t.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},44097:function(t,e,r){\"use strict\";var n=r(45568),i=r(44122),a=r(78766),o=r(62203),s=r(34809),l=s.strTranslate,c=r(30635),u=r(78032).arrayEditor,h=r(64194),f=r(4530),p=f.LINE_SPACING,d=f.FROM_TL,m=f.FROM_BR;function g(t){return h.autoMarginIdRoot+t._index}function y(t){return t._index}function v(t,e){var r=o.tester.selectAll(\"g.\"+h.labelGroupClass).data(e._visibleSteps);r.enter().append(\"g\").classed(h.labelGroupClass,!0);var a=0,l=0;r.each((function(t){var r=b(n.select(this),{step:t},e).node();if(r){var i=o.bBox(r);l=Math.max(l,i.height),a=Math.max(a,i.width)}})),r.remove();var u=e._dims={};u.inputAreaWidth=Math.max(h.railWidth,h.gripHeight);var f=t._fullLayout._size;u.lx=f.l+f.w*e.x,u.ly=f.t+f.h*(1-e.y),\"fraction\"===e.lenmode?u.outerLength=Math.round(f.w*e.len):u.outerLength=e.len,u.inputAreaStart=0,u.inputAreaLength=Math.round(u.outerLength-e.pad.l-e.pad.r);var p=(u.inputAreaLength-2*h.stepInset)/(e._stepCount-1),y=a+h.labelPadding;if(u.labelStride=Math.max(1,Math.ceil(y/p)),u.labelHeight=l,u.currentValueMaxWidth=0,u.currentValueHeight=0,u.currentValueTotalHeight=0,u.currentValueMaxLines=1,e.currentvalue.visible){var v=o.tester.append(\"g\");r.each((function(t){var r=x(v,e,t.label),n=r.node()&&o.bBox(r.node())||{width:0,height:0},i=c.lineCount(r);u.currentValueMaxWidth=Math.max(u.currentValueMaxWidth,Math.ceil(n.width)),u.currentValueHeight=Math.max(u.currentValueHeight,Math.ceil(n.height)),u.currentValueMaxLines=Math.max(u.currentValueMaxLines,i)})),u.currentValueTotalHeight=u.currentValueHeight+e.currentvalue.offset,v.remove()}u.height=u.currentValueTotalHeight+h.tickOffset+e.ticklen+h.labelOffset+u.labelHeight+e.pad.t+e.pad.b;var _=\"left\";s.isRightAnchor(e)&&(u.lx-=u.outerLength,_=\"right\"),s.isCenterAnchor(e)&&(u.lx-=u.outerLength/2,_=\"center\");var w=\"top\";s.isBottomAnchor(e)&&(u.ly-=u.height,w=\"bottom\"),s.isMiddleAnchor(e)&&(u.ly-=u.height/2,w=\"middle\"),u.outerLength=Math.ceil(u.outerLength),u.height=Math.ceil(u.height),u.lx=Math.round(u.lx),u.ly=Math.round(u.ly);var T={y:e.y,b:u.height*m[w],t:u.height*d[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[_],T.r=0,T.xr=e.x+e.len*m[_]):(T.x=e.x,T.l=u.outerLength*d[_],T.r=u.outerLength*m[_]),i.autoMargin(t,g(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=a.inputAreaLength-h.currentValueInset-a.currentValueMaxWidth,i=\"left\";break;case\"center\":n=.5*a.inputAreaLength,i=\"middle\";break;default:n=h.currentValueInset,i=\"left\"}var l=s.ensureSingle(t,\"text\",h.labelClass,(function(t){t.attr({\"text-anchor\":i,\"data-notex\":1})})),u=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)u+=r;else{var f=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(f=s.templateString(f,d)),u+=f}e.currentvalue.suffix&&(u+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(u).call(c.convertToTspans,e._gd);var m=c.lineCount(l),g=(a.currentValueMaxLines+1-m)*e.currentvalue.font.size*p;return c.positionText(l,n,g),l}}function _(t,e,r){s.ensureSingle(t,\"rect\",h.gripRectClass,(function(n){n.call(A,e,t,r).style(\"pointer-events\",\"all\")})).attr({width:h.gripWidth,height:h.gripHeight,rx:h.gripRadius,ry:h.gripRadius}).call(a.stroke,r.bordercolor).call(a.fill,r.bgcolor).style(\"stroke-width\",r.borderwidth+\"px\")}function b(t,e,r){var n=s.ensureSingle(t,\"text\",h.labelClass,(function(t){t.attr({\"text-anchor\":\"middle\",\"data-notex\":1})})),i=e.step.label,a=r._gd._fullLayout._meta;return a&&(i=s.templateString(i,a)),n.call(o.font,r.font).text(i).call(c.convertToTspans,r._gd),n}function w(t,e){var r=s.ensureSingle(t,\"g\",h.labelsClass),i=e._dims,a=r.selectAll(\"g.\"+h.labelGroupClass).data(i.labelSteps);a.enter().append(\"g\").classed(h.labelGroupClass,!0),a.exit().remove(),a.each((function(t){var r=n.select(this);r.call(b,t,e),o.setTranslate(r,E(e,t.fraction),h.tickOffset+e.ticklen+e.font.size*p+h.labelOffset+i.currentValueTotalHeight)}))}function T(t,e,r,n,i){var a=Math.round(n*(r._stepCount-1)),o=r._visibleSteps[a]._index;o!==r.active&&k(t,e,r,o,!0,i)}function k(t,e,r,n,a,o){var s=r.active;r.active=n,u(t.layout,h.name,r).applyUpdate(\"active\",n);var l=r.steps[r.active];e.call(S,r,o),e.call(x,r),t.emit(\"plotly_sliderchange\",{slider:r,step:r.steps[r.active],interaction:a,previousActive:s}),l&&l.method&&a&&(e._nextMethod?(e._nextMethod.step=l,e._nextMethod.doCallback=a,e._nextMethod.doTransition=o):(e._nextMethod={step:l,doCallback:a,doTransition:o},e._nextMethodRaf=window.requestAnimationFrame((function(){var r=e._nextMethod.step;r.method&&(r.execute&&i.executeAPICommand(t,r.method,r.args),e._nextMethod=null,e._nextMethodRaf=null)}))))}function A(t,e,r){if(!e._context.staticPlot){var i=r.node(),o=n.select(e);t.on(\"mousedown\",l),t.on(\"touchstart\",l)}function s(){return r.data()[0]}function l(){var t=s();e.emit(\"plotly_sliderstart\",{slider:t});var l=r.select(\".\"+h.gripRectClass);n.event.stopPropagation(),n.event.preventDefault(),l.call(a.fill,t.activebgcolor);var c=C(t,n.mouse(i)[0]);function u(){var t=s(),a=C(t,n.mouse(i)[0]);T(e,r,t,a,!1)}function f(){var t=s();t._dragging=!1,l.call(a.fill,t.bgcolor),o.on(\"mouseup\",null),o.on(\"mousemove\",null),o.on(\"touchend\",null),o.on(\"touchmove\",null),e.emit(\"plotly_sliderend\",{slider:t,step:t.steps[t.active]})}T(e,r,t,c,!0),t._dragging=!0,o.on(\"mousemove\",u),o.on(\"touchmove\",u),o.on(\"mouseup\",f),o.on(\"touchend\",f)}}function M(t,e){var r=t.selectAll(\"rect.\"+h.tickRectClass).data(e._visibleSteps),i=e._dims;r.enter().append(\"rect\").classed(h.tickRectClass,!0),r.exit().remove(),r.attr({width:e.tickwidth+\"px\",\"shape-rendering\":\"crispEdges\"}),r.each((function(t,r){var s=r%i.labelStride==0,l=n.select(this);l.attr({height:s?e.ticklen:e.minorticklen}).call(a.fill,e.tickcolor),o.setTranslate(l,E(e,r/(e._stepCount-1))-.5*e.tickwidth,(s?h.tickOffset:h.minorTickOffset)+i.currentValueTotalHeight)}))}function S(t,e,r){for(var n=t.select(\"rect.\"+h.gripRectClass),i=0,a=0;a<e._stepCount;a++)if(e._visibleSteps[a]._index===e.active){i=a;break}var o=E(e,i/(e._stepCount-1));if(!e._invokingCommand){var s=n;r&&e.transition.duration>0&&(s=s.transition().duration(e.transition.duration).ease(e.transition.easing)),s.attr(\"transform\",l(o-.5*h.gripWidth,e._dims.currentValueTotalHeight))}}function E(t,e){var r=t._dims;return r.inputAreaStart+h.stepInset+(r.inputAreaLength-2*h.stepInset)*Math.min(1,Math.max(0,e))}function C(t,e){var r=t._dims;return Math.min(1,Math.max(0,(e-h.stepInset-r.inputAreaStart)/(r.inputAreaLength-2*h.stepInset-2*r.inputAreaStart)))}function L(t,e,r){var n=r._dims,i=s.ensureSingle(t,\"rect\",h.railTouchRectClass,(function(n){n.call(A,e,t,r).style(\"pointer-events\",\"all\")}));i.attr({width:n.inputAreaLength,height:Math.max(n.inputAreaWidth,h.tickOffset+r.ticklen+n.labelHeight)}).call(a.fill,r.bgcolor).attr(\"opacity\",0),o.setTranslate(i,0,n.currentValueTotalHeight)}function I(t,e){var r=e._dims,n=r.inputAreaLength-2*h.railInset,i=s.ensureSingle(t,\"rect\",h.railRectClass);i.attr({width:n,height:h.railWidth,rx:h.railRadius,ry:h.railRadius,\"shape-rendering\":\"crispEdges\"}).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\"),o.setTranslate(i,h.railInset,.5*(r.inputAreaWidth-h.railWidth)+r.currentValueTotalHeight)}t.exports=function(t){var e=t._context.staticPlot,r=t._fullLayout,a=function(t,e){for(var r=t[h.name],n=[],i=0;i<r.length;i++){var a=r[i];a.visible&&(a._gd=e,n.push(a))}return n}(r,t),s=r._infolayer.selectAll(\"g.\"+h.containerClassName).data(a.length>0?[0]:[]);function l(e){e._commandObserver&&(e._commandObserver.remove(),delete e._commandObserver),i.autoMargin(t,g(e))}if(s.enter().append(\"g\").classed(h.containerClassName,!0).style(\"cursor\",e?null:\"ew-resize\"),s.exit().each((function(){n.select(this).selectAll(\"g.\"+h.groupClassName).each(l)})).remove(),0!==a.length){var c=s.selectAll(\"g.\"+h.groupClassName).data(a,y);c.enter().append(\"g\").classed(h.groupClassName,!0),c.exit().each(l).remove();for(var u=0;u<a.length;u++){var f=a[u];v(t,f)}c.each((function(e){var r=n.select(this);!function(t){var e=t._dims;e.labelSteps=[];for(var r=t._stepCount,n=0;n<r;n+=e.labelStride)e.labelSteps.push({fraction:n/(r-1),step:t._visibleSteps[n]})}(e),i.manageCommandObserver(t,e,e._visibleSteps,(function(e){var n=r.data()[0];n.active!==e.index&&(n._dragging||k(t,r,n,e.index,!1,!0))})),function(t,e,r){(r.steps[r.active]||{}).visible||(r.active=r._visibleSteps[0]._index),e.call(x,r).call(I,r).call(w,r).call(M,r).call(L,t,r).call(_,t,r);var n=r._dims;o.setTranslate(e,n.lx+r.pad.l,n.ly+r.pad.t),e.call(S,r,!1),e.call(x,r)}(t,n.select(this),e)}))}}},15359:function(t,e,r){\"use strict\";var n=r(64194);t.exports={moduleType:\"component\",name:n.name,layoutAttributes:r(8606),supplyLayoutDefaults:r(74537),draw:r(44097)}},17240:function(t,e,r){\"use strict\";var n=r(45568),i=r(10721),a=r(44122),o=r(33626),s=r(34809),l=s.strTranslate,c=r(62203),u=r(78766),h=r(30635),f=r(20438),p=r(4530).OPPOSITE_SIDE,d=/ [XY][0-9]* /;t.exports={draw:function(t,e,r){var m,g=t._fullLayout,y=r.propContainer,v=r.propName,x=r.placeholder,_=r.traceIndex,b=r.avoid||{},w=r.attributes,T=r.transform,k=r.containerGroup,A=1,M=y.title,S=(M&&M.text?M.text:\"\").trim(),E=!1,C=M&&M.font?M.font:{},L=C.family,I=C.size,P=C.color,z=C.weight,O=C.style,D=C.variant,R=C.textcase,F=C.lineposition,B=C.shadow,N=!!r.subtitlePropName,j=r.subtitlePlaceholder,U=(y.title||{}).subtitle||{text:\"\",font:{}},V=U.text.trim(),q=!1,H=1,G=U.font,Z=G.family,W=G.size,Y=G.color,X=G.weight,$=G.style,J=G.variant,K=G.textcase,Q=G.lineposition,tt=G.shadow;\"title.text\"===v?m=\"titleText\":-1!==v.indexOf(\"axis\")?m=\"axisTitleText\":v.indexOf(!0)&&(m=\"colorbarTitleText\");var et=t._context.edits[m];function rt(t,e){return void 0!==t&&void 0!==e&&t.replace(d,\" % \")===e.replace(d,\" % \")}\"\"===S?A=0:rt(S,x)&&(et||(S=\"\"),A=.2,E=!0),N&&(\"\"===V?H=0:rt(V,j)&&(et||(V=\"\"),H=.2,q=!0)),r._meta?S=s.templateString(S,r._meta):g._meta&&(S=s.templateString(S,g._meta));var nt,it=S||V||et;k||(k=s.ensureSingle(g._infolayer,\"g\",\"g-\"+e),nt=g._hColorbarMoveTitle);var at=k.selectAll(\"text.\"+e).data(it?[0]:[]);at.enter().append(\"text\"),at.text(S).attr(\"class\",e),at.exit().remove();var ot=null,st=e+\"-subtitle\",lt=V||et;if(N&&lt&&((ot=k.selectAll(\"text.\"+st).data(lt?[0]:[])).enter().append(\"text\"),ot.text(V).attr(\"class\",st),ot.exit().remove()),!it)return k;function ct(t,e){s.syncOrAsync([ut,ht],{title:t,subtitle:e})}function ut(r){var i,o=r.title,f=r.subtitle;if(!T&&nt&&(T={}),T?(i=\"\",T.rotate&&(i+=\"rotate(\"+[T.rotate,w.x,w.y]+\")\"),(T.offset||nt)&&(i+=l(0,(T.offset||0)-(nt||0)))):i=null,o.attr(\"transform\",i),o.style(\"opacity\",A*u.opacity(P)).call(c.font,{color:u.rgb(P),size:n.round(I,2),family:L,weight:z,style:O,variant:D,textcase:R,shadow:B,lineposition:F}).attr(w).call(h.convertToTspans,t,(function(t){if(t){var e=n.select(t.node().parentNode).select(\".\"+st);if(!e.empty()){var r=t.node().getBBox();if(r.height){var i=r.y+r.height+1.6*W;e.attr(\"y\",i)}}}})),f){var p=k.select(\".\"+e+\"-math-group\"),d=o.node().getBBox(),m=p.node()?p.node().getBBox():void 0,g=m?m.y+m.height+1.6*W:d.y+d.height+1.6*W,y=s.extendFlat({},w,{y:g});f.attr(\"transform\",i),f.style(\"opacity\",H*u.opacity(Y)).call(c.font,{color:u.rgb(Y),size:n.round(W,2),family:Z,weight:X,style:$,variant:J,textcase:K,shadow:tt,lineposition:Q}).attr(y).call(h.convertToTspans,t)}return a.previousPromises(t)}function ht(e){var r=e.title,a=n.select(r.node().parentNode);if(b&&b.selection&&b.side&&S){a.attr(\"transform\",null);var o=p[b.side],u=\"left\"===b.side||\"top\"===b.side?-1:1,h=i(b.pad)?b.pad:2,f=c.bBox(a.node()),d={t:0,b:0,l:0,r:0},m=t._fullLayout._reservedMargin;for(var v in m)for(var x in m[v]){var _=m[v][x];d[x]=Math.max(d[x],_)}var w={left:d.l,top:d.t,right:g.width-d.r,bottom:g.height-d.b},T=b.maxShift||u*(w[b.side]-f[b.side]),k=0;if(T<0)k=T;else{var 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pt=at.node().getBBox(),dt=pt.y+pt.height+1.6*W;ot.attr(\"y\",dt)}V?ot.on(\".opacity\",null):(ft(ot,j),q=!0),ot.call(h.makeEditable,{gd:t}).on(\"edit\",(function(e){o.call(\"_guiRelayout\",t,\"title.subtitle.text\",e)})).on(\"cancel\",(function(){this.text(this.attr(\"data-unformatted\")).call(ct)})).on(\"input\",(function(t){this.text(t||\" \").call(h.positionText,ot.attr(\"x\"),ot.attr(\"y\"))}))}return at.classed(\"js-placeholder\",E),ot&&ot.classed(\"js-placeholder\",q),k},SUBTITLE_PADDING_EM:1.6,SUBTITLE_PADDING_MATHJAX_EM:1.6}},85389:function(t,e,r){\"use strict\";var n=r(80337),i=r(10229),a=r(93049).extendFlat,o=r(13582).overrideAll,s=r(57891),l=r(78032).templatedArray,c=l(\"button\",{visible:{valType:\"boolean\"},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},args2:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\",dflt:\"\"},execute:{valType:\"boolean\",dflt:!0}});t.exports=o(l(\"updatemenu\",{_arrayAttrRegexps:[/^updatemenus\\[(0|[1-9][0-9]+)\\]\\.buttons/],visible:{valType:\"boolean\"},type:{valType:\"enumerated\",values:[\"dropdown\",\"buttons\"],dflt:\"dropdown\"},direction:{valType:\"enumerated\",values:[\"left\",\"right\",\"up\",\"down\"],dflt:\"down\"},active:{valType:\"integer\",min:-1,dflt:0},showactive:{valType:\"boolean\",dflt:!0},buttons:c,x:{valType:\"number\",min:-2,max:3,dflt:-.05},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"right\"},y:{valType:\"number\",min:-2,max:3,dflt:1},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},pad:a(s({editType:\"arraydraw\"}),{}),font:n({}),bgcolor:{valType:\"color\"},bordercolor:{valType:\"color\",dflt:i.borderLine},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"arraydraw\"}}),\"arraydraw\",\"from-root\")},71559:function(t){\"use strict\";t.exports={name:\"updatemenus\",containerClassName:\"updatemenu-container\",headerGroupClassName:\"updatemenu-header-group\",headerClassName:\"updatemenu-header\",headerArrowClassName:\"updatemenu-header-arrow\",dropdownButtonGroupClassName:\"updatemenu-dropdown-button-group\",dropdownButtonClassName:\"updatemenu-dropdown-button\",buttonClassName:\"updatemenu-button\",itemRectClassName:\"updatemenu-item-rect\",itemTextClassName:\"updatemenu-item-text\",menuIndexAttrName:\"updatemenu-active-index\",autoMarginIdRoot:\"updatemenu-\",blankHeaderOpts:{label:\"  \"},minWidth:30,minHeight:30,textPadX:24,arrowPadX:16,rx:2,ry:2,textOffsetX:12,textOffsetY:3,arrowOffsetX:4,gapButtonHeader:5,gapButton:2,activeColor:\"#F4FAFF\",hoverColor:\"#F4FAFF\",arrowSymbol:{left:\"◄\",right:\"►\",up:\"▲\",down:\"▼\"}}},42746:function(t,e,r){\"use strict\";var n=r(34809),i=r(59008),a=r(85389),o=r(71559).name,s=a.buttons;function l(t,e,r){function o(r,i){return n.coerce(t,e,a,r,i)}o(\"visible\",i(t,e,{name:\"buttons\",handleItemDefaults:c}).length>0)&&(o(\"active\"),o(\"direction\"),o(\"type\"),o(\"showactive\"),o(\"x\"),o(\"y\"),n.noneOrAll(t,e,[\"x\",\"y\"]),o(\"xanchor\"),o(\"yanchor\"),o(\"pad.t\"),o(\"pad.r\"),o(\"pad.b\"),o(\"pad.l\"),n.coerceFont(o,\"font\",r.font),o(\"bgcolor\",r.paper_bgcolor),o(\"bordercolor\"),o(\"borderwidth\"))}function c(t,e){function r(r,i){return n.coerce(t,e,s,r,i)}r(\"visible\",\"skip\"===t.method||Array.isArray(t.args))&&(r(\"method\"),r(\"args\"),r(\"args2\"),r(\"label\"),r(\"execute\"))}t.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},40974:function(t,e,r){\"use strict\";var n=r(45568),i=r(44122),a=r(78766),o=r(62203),s=r(34809),l=r(30635),c=r(78032).arrayEditor,u=r(4530).LINE_SPACING,h=r(71559),f=r(21736);function p(t){return t._index}function d(t,e){return+t.attr(h.menuIndexAttrName)===e._index}function m(t,e,r,n,i,a,o,s){e.active=o,c(t.layout,h.name,e).applyUpdate(\"active\",o),\"buttons\"===e.type?y(t,n,null,null,e):\"dropdown\"===e.type&&(i.attr(h.menuIndexAttrName,\"-1\"),g(t,n,i,a,e),s||y(t,n,i,a,e))}function g(t,e,r,n,i){var a=s.ensureSingle(e,\"g\",h.headerClassName,(function(t){t.style(\"pointer-events\",\"all\")})),l=i._dims,c=i.active,u=i.buttons[c]||h.blankHeaderOpts,f={y:i.pad.t,yPad:0,x:i.pad.l,xPad:0,index:0},p={width:l.headerWidth,height:l.headerHeight};a.call(v,i,u,t).call(M,i,f,p),s.ensureSingle(e,\"text\",h.headerArrowClassName,(function(t){t.attr(\"text-anchor\",\"end\").call(o.font,i.font).text(h.arrowSymbol[i.direction])})).attr({x:l.headerWidth-h.arrowOffsetX+i.pad.l,y:l.headerHeight/2+h.textOffsetY+i.pad.t}),a.on(\"click\",(function(){r.call(S,String(d(r,i)?-1:i._index)),y(t,e,r,n,i)})),a.on(\"mouseover\",(function(){a.call(w)})),a.on(\"mouseout\",(function(){a.call(T,i)})),o.setTranslate(e,l.lx,l.ly)}function y(t,e,r,a,o){r||(r=e).attr(\"pointer-events\",\"all\");var l=function(t){return-1==+t.attr(h.menuIndexAttrName)}(r)&&\"buttons\"!==o.type?[]:o.buttons,c=\"dropdown\"===o.type?h.dropdownButtonClassName:h.buttonClassName,u=r.selectAll(\"g.\"+c).data(s.filterVisible(l)),f=u.enter().append(\"g\").classed(c,!0),p=u.exit();\"dropdown\"===o.type?(f.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),p.transition().attr(\"opacity\",\"0\").remove()):p.remove();var d=0,g=0,y=o._dims,x=-1!==[\"up\",\"down\"].indexOf(o.direction);\"dropdown\"===o.type&&(x?g=y.headerHeight+h.gapButtonHeader:d=y.headerWidth+h.gapButtonHeader),\"dropdown\"===o.type&&\"up\"===o.direction&&(g=-h.gapButtonHeader+h.gapButton-y.openHeight),\"dropdown\"===o.type&&\"left\"===o.direction&&(d=-h.gapButtonHeader+h.gapButton-y.openWidth);var _={x:y.lx+d+o.pad.l,y:y.ly+g+o.pad.t,yPad:h.gapButton,xPad:h.gapButton,index:0},k={l:_.x+o.borderwidth,t:_.y+o.borderwidth};u.each((function(s,l){var c=n.select(this);c.call(v,o,s,t).call(M,o,_),c.on(\"click\",(function(){n.event.defaultPrevented||(s.execute&&(s.args2&&o.active===l?(m(t,o,0,e,r,a,-1),i.executeAPICommand(t,s.method,s.args2)):(m(t,o,0,e,r,a,l),i.executeAPICommand(t,s.method,s.args))),t.emit(\"plotly_buttonclicked\",{menu:o,button:s,active:o.active}))})),c.on(\"mouseover\",(function(){c.call(w)})),c.on(\"mouseout\",(function(){c.call(T,o),u.call(b,o)}))})),u.call(b,o),x?(k.w=Math.max(y.openWidth,y.headerWidth),k.h=_.y-k.t):(k.w=_.x-k.l,k.h=Math.max(y.openHeight,y.headerHeight)),k.direction=o.direction,a&&(u.size()?function(t,e,r,n,i,a){var o,s,l,c=i.direction,u=\"up\"===c||\"down\"===c,f=i._dims,p=i.active;if(u)for(s=0,l=0;l<p;l++)s+=f.heights[l]+h.gapButton;else for(o=0,l=0;l<p;l++)o+=f.widths[l]+h.gapButton;n.enable(a,o,s),n.hbar&&n.hbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),n.vbar&&n.vbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\")}(0,0,0,a,o,k):function(t){var e=!!t.hbar,r=!!t.vbar;e&&t.hbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){e=!1,r||t.disable()})),r&&t.vbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){r=!1,e||t.disable()}))}(a))}function v(t,e,r,n){t.call(x,e).call(_,e,r,n)}function x(t,e){s.ensureSingle(t,\"rect\",h.itemRectClassName,(function(t){t.attr({rx:h.rx,ry:h.ry,\"shape-rendering\":\"crispEdges\"})})).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\")}function _(t,e,r,n){var i=s.ensureSingle(t,\"text\",h.itemTextClassName,(function(t){t.attr({\"text-anchor\":\"start\",\"data-notex\":1})})),a=r.label,c=n._fullLayout._meta;c&&(a=s.templateString(a,c)),i.call(o.font,e.font).text(a).call(l.convertToTspans,n)}function b(t,e){var r=e.active;t.each((function(t,i){var o=n.select(this);i===r&&e.showactive&&o.select(\"rect.\"+h.itemRectClassName).call(a.fill,h.activeColor)}))}function w(t){t.select(\"rect.\"+h.itemRectClassName).call(a.fill,h.hoverColor)}function T(t,e){t.select(\"rect.\"+h.itemRectClassName).call(a.fill,e.bgcolor)}function k(t,e){var r=e._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},a=o.tester.selectAll(\"g.\"+h.dropdownButtonClassName).data(s.filterVisible(e.buttons));a.enter().append(\"g\").classed(h.dropdownButtonClassName,!0);var c=-1!==[\"up\",\"down\"].indexOf(e.direction);a.each((function(i,a){var s=n.select(this);s.call(v,e,i,t);var f=s.select(\".\"+h.itemTextClassName),p=f.node()&&o.bBox(f.node()).width,d=Math.max(p+h.textPadX,h.minWidth),m=e.font.size*u,g=l.lineCount(f),y=Math.max(m*g,h.minHeight)+h.textOffsetY;y=Math.ceil(y),d=Math.ceil(d),r.widths[a]=d,r.heights[a]=y,r.height1=Math.max(r.height1,y),r.width1=Math.max(r.width1,d),c?(r.totalWidth=Math.max(r.totalWidth,d),r.openWidth=r.totalWidth,r.totalHeight+=y+h.gapButton,r.openHeight+=y+h.gapButton):(r.totalWidth+=d+h.gapButton,r.openWidth+=d+h.gapButton,r.totalHeight=Math.max(r.totalHeight,y),r.openHeight=r.totalHeight)})),c?r.totalHeight-=h.gapButton:r.totalWidth-=h.gapButton,r.headerWidth=r.width1+h.arrowPadX,r.headerHeight=r.height1,\"dropdown\"===e.type&&(c?(r.width1+=h.arrowPadX,r.totalHeight=r.height1):r.totalWidth=r.width1,r.totalWidth+=h.arrowPadX),a.remove();var f=r.totalWidth+e.pad.l+e.pad.r,p=r.totalHeight+e.pad.t+e.pad.b,d=t._fullLayout._size;r.lx=d.l+d.w*e.x,r.ly=d.t+d.h*(1-e.y);var 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f(t,c,x);l.enter().size()&&(c.node().parentNode.appendChild(c.node()),c.call(S)),l.exit().each((function(t){c.call(S),a(t)})).remove(),l.each((function(e){var r=n.select(this),a=\"dropdown\"===e.type?c:null;i.manageCommandObserver(t,e,e.buttons,(function(n){m(t,e,e.buttons[n.index],r,a,_,n.index,!0)})),\"dropdown\"===e.type?(g(t,r,c,_,e),d(c,e)&&y(t,r,c,_,e)):y(t,r,null,null,e)}))}}},46230:function(t,e,r){\"use strict\";var n=r(71559);t.exports={moduleType:\"component\",name:n.name,layoutAttributes:r(85389),supplyLayoutDefaults:r(42746),draw:r(40974)}},21736:function(t,e,r){\"use strict\";t.exports=s;var n=r(45568),i=r(78766),a=r(62203),o=r(34809);function s(t,e,r){this.gd=t,this.container=e,this.id=r,this.position=null,this.translateX=null,this.translateY=null,this.hbar=null,this.vbar=null,this.bg=this.container.selectAll(\"rect.scrollbox-bg\").data([0]),this.bg.exit().on(\".drag\",null).on(\"wheel\",null).remove(),this.bg.enter().append(\"rect\").classed(\"scrollbox-bg\",!0).style(\"pointer-events\",\"all\").attr({opacity:0,x:0,y:0,width:0,height:0})}s.barWidth=2,s.barLength=20,s.barRadius=2,s.barPad=1,s.barColor=\"#808BA4\",s.prototype.enable=function(t,e,r){var o=this.gd._fullLayout,l=o.width,c=o.height;this.position=t;var u,h,f,p,d=this.position.l,m=this.position.w,g=this.position.t,y=this.position.h,v=this.position.direction,x=\"down\"===v,_=\"left\"===v,b=\"up\"===v,w=m,T=y;x||_||\"right\"===v||b||(this.position.direction=\"down\",x=!0),x||b?(h=(u=d)+w,x?(f=g,T=(p=Math.min(f+T,c))-f):T=(p=g+T)-(f=Math.max(p-T,0))):(p=(f=g)+T,_?w=(h=d+w)-(u=Math.max(h-w,0)):(u=d,w=(h=Math.min(u+w,l))-u)),this._box={l:u,t:f,w:w,h:T};var k=m>w,A=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=g+y;E+M>c&&(E=c-M);var C=this.container.selectAll(\"rect.scrollbar-horizontal\").data(k?[0]:[]);C.exit().on(\".drag\",null).remove(),C.enter().append(\"rect\").classed(\"scrollbar-horizontal\",!0).call(i.fill,s.barColor),k?(this.hbar=C.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:A,height:M}),this._hbarXMin=S+A/2,this._hbarTranslateMax=w-A):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var L=y>T,I=s.barWidth+2*s.barPad,P=s.barLength+2*s.barPad,z=d+m,O=g;z+I>l&&(z=l-I);var D=this.container.selectAll(\"rect.scrollbar-vertical\").data(L?[0]:[]);D.exit().on(\".drag\",null).remove(),D.enter().append(\"rect\").classed(\"scrollbar-vertical\",!0).call(i.fill,s.barColor),L?(this.vbar=D.attr({rx:s.barRadius,ry:s.barRadius,x:z,y:O,width:I,height:P}),this._vbarYMin=O+P/2,this._vbarTranslateMax=T-P):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=u-.5,B=L?h+I+.5:h+.5,N=f-.5,j=k?p+M+.5:p+.5,U=o._topdefs.selectAll(\"#\"+R).data(k||L?[0]:[]);if(U.exit().remove(),U.enter().append(\"clipPath\").attr(\"id\",R).append(\"rect\"),k||L?(this._clipRect=U.select(\"rect\").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(a.setClipUrl,R,this.gd),this.bg.attr({x:d,y:g,width:m,height:y})):(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),k||L){var V=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault()})).on(\"drag\",this._onBoxDrag.bind(this));this.container.on(\"wheel\",null).on(\"wheel\",this._onBoxWheel.bind(this)).on(\".drag\",null).call(V);var q=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault(),n.event.sourceEvent.stopPropagation()})).on(\"drag\",this._onBarDrag.bind(this));k&&this.hbar.on(\".drag\",null).call(q),L&&this.vbar.on(\".drag\",null).call(q)}this.setTranslate(e,r)},s.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(\".drag\",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(\".drag\",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)},s.prototype._onBoxDrag=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t-=n.event.dx),this.vbar&&(e-=n.event.dy),this.setTranslate(t,e)},s.prototype._onBoxWheel=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t+=n.event.deltaY),this.vbar&&(e+=n.event.deltaY),this.setTranslate(t,e)},s.prototype._onBarDrag=function(){var t=this.translateX,e=this.translateY;if(this.hbar){var r=t+this._hbarXMin,i=r+this._hbarTranslateMax;t=(o.constrain(n.event.x,r,i)-r)/(i-r)*(this.position.w-this._box.w)}if(this.vbar){var a=e+this._vbarYMin,s=a+this._vbarTranslateMax;e=(o.constrain(n.event.y,a,s)-a)/(s-a)*(this.position.h-this._box.h)}this.setTranslate(t,e)},s.prototype.setTranslate=function(t,e){var r=this.position.w-this._box.w,n=this.position.h-this._box.h;if(t=o.constrain(t||0,0,r),e=o.constrain(e||0,0,n),this.translateX=t,this.translateY=e,this.container.call(a.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-e),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+e-.5)}),this.hbar){var i=t/r;this.hbar.call(a.setTranslate,t+i*this._hbarTranslateMax,e)}if(this.vbar){var s=e/n;this.vbar.call(a.setTranslate,t,e+s*this._vbarTranslateMax)}}},4530:function(t){\"use strict\";t.exports={FROM_BL:{left:0,center:.5,right:1,bottom:0,middle:.5,top:1},FROM_TL:{left:0,center:.5,right:1,bottom:1,middle:.5,top:0},FROM_BR:{left:1,center:.5,right:0,bottom:0,middle:.5,top:1},LINE_SPACING:1.3,CAP_SHIFT:.7,MID_SHIFT:.35,OPPOSITE_SIDE:{left:\"right\",right:\"left\",top:\"bottom\",bottom:\"top\"}}},35081:function(t){\"use strict\";t.exports={axisRefDescription:function(t,e,r){return[\"If set to a\",t,\"axis id (e.g. *\"+t+\"* or\",\"*\"+t+\"2*), the `\"+t+\"` position refers to a\",t,\"coordinate. 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y=n/(h[2]-h[0])*(l[2]-l[0])+l[0],v=i/(h[3]-h[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=y,c.boxStart[1]=v,c.dragStart[0]=n,c.dragStart[1]=i),c.boxEnd[0]=y,c.boxEnd[1]=v,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<m,_=Math.abs(c.dragStart[1]-i)<m;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&_)x&&(c.boxEnd[0]=c.boxStart[0]),_&&(c.boxEnd[1]=c.boxStart[1]);else{a=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var b=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*b)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*b*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(b)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(b))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/b*(a>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(b)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(b)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(g(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-i)<d&&(i=c.dragStart[1]),a=(f-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=i}return c.mouseListener=n(e,h),e.addEventListener(\"touchstart\",(function(t){var r=a(t.changedTouches[0],e);h(0,r[0],r[1]),h(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);h(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){h(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),h=o/(a[2]-a[0])*(i[2]-i[0])+i[0],f=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-h)*l+h,i[2]=(i[2]-h)*l+h,i[1]=(i[1]-f)*l+f,i[3]=(i[3]-f)*l+f,t.setRanges(i),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},10749:function(t,e,r){\"use strict\";var n=r(29714),i=r(55010);function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,c,u,h,f,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),f=0;f<2;++f){var d=(e=s[f]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[f+p]=!1,this.labels[f+p]=n,this.labelColor[f+p]=i(r.title.font.color),this.labelFont[f+p]=r.title.font.family,this.labelSize[f+p]=r.title.font.size,this.labelPad[f+p]=this.getLabelPad(e,r),this.tickEnable[f+p]=!1,this.tickColor[f+p]=i((r.tickfont||{}).color),this.tickAngle[f+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[f+p]=this.getTickPad(r),this.tickMarkLength[f+p]=0,this.tickMarkWidth[f+p]=r.tickwidth||0,this.tickMarkColor[f+p]=i(r.tickcolor),this.borderLineEnable[f+p]=!1,this.borderLineColor[f+p]=i(r.linecolor),this.borderLineWidth[f+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf(\"all\"):!!a,h=c?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[f]=!0:l&&(this.labelEnable[f+2]=!0),o?this.tickEnable[f]=r.showticklabels:l&&(this.tickEnable[f+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[f]=r.showline),(l||u)&&(this.borderLineEnable[f+2]=r.showline),(o||h)&&(this.tickMarkLength[f]=this.getTickMarkLength(r)),(l||h)&&(this.tickMarkLength[f+2]=this.getTickMarkLength(r)),this.gridLineEnable[f]=r.showgrid,this.gridLineColor[f]=i(r.gridcolor),this.gridLineWidth[f]=r.gridwidth,this.zeroLineEnable[f]=r.zeroline,this.zeroLineColor[f]=i(r.zerolinecolor),this.zeroLineWidth[f]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=1.5,n=e.title.font.size,i=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},t.exports=function(t){return new a(t)}},24585:function(t,e,r){\"use strict\";var n=r(13582).overrideAll,i=r(27672),a=r(6704),o=r(62972),s=r(54826),l=r(37703),c=r(6811),u=r(4173).KO;e.name=\"gl2d\",e.attr=[\"xaxis\",\"yaxis\"],e.idRoot=[\"x\",\"y\"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(55126),e.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];s._scene2d&&0===u(t,\"gl2d\",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++)e._plots[r[n]]._scene2d.updateFx(e.dragmode)}},27672:function(t,e,r){\"use strict\";var n,i,a=r(33626),o=r(29714),s=r(32141),l=r(99098).gl_plot2d,c=r(99098).gl_spikes2d,u=r(99098).gl_select_box,h=r(22248),f=r(10749),p=r(77055),d=r(97464),m=r(84391),g=m.enforce,y=m.clean,v=r(32919).doAutoRange,x=r(70414),_=x.drawMode,b=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=r(54826).SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=f(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=h({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=h({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var h=document.createElement(\"canvas\");h.width=r,h.height=i;var f,p=h.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":f=h.toDataURL(\"image/jpeg\");break;case\"webp\":f=h.toDataURL(\"image/webp\");break;default:f=h.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),f},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,c,u=r._size,h=this.xaxis.domain,f=this.yaxis.domain;for(o.viewBox=[u.l+h[0]*u.w,u.b+f[0]*u.h,i-u.r-(1-h[1])*u.w,a-u.t-(1-f[1])*u.h],this.mouseContainer.style.width=u.w*(h[1]-h[0])+\"px\",this.mouseContainer.style.height=u.h*(f[1]-f[0])+\"px\",this.mouseContainer.height=u.h*(f[1]-f[0]),this.mouseContainer.style.left=u.l+h[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-f[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],v(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){b(t)||_(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var h=i._size,f=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,l/t.pixelRatio-(h.t+(1-p[1])*h.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var m=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),m.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[m.trace.index]||{},y=m.pointIndex,v=s.castHoverinfo(g,i,y);if(v&&\"all\"!==v){var x=v.split(\"+\");-1===x.indexOf(\"x\")&&(m.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(m.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(m.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(m.textLabel=void 0),-1===x.indexOf(\"name\")&&(m.name=void 0)}s.loneHover({x:m.screenCoord[0],y:m.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",m.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",m.traceCoord[1]),zLabel:m.traceCoord[2],text:m.textLabel,name:m.name,color:s.castHoverOption(g,y,\"bgcolor\")||m.color,borderColor:s.castHoverOption(g,y,\"bordercolor\"),fontFamily:s.castHoverOption(g,y,\"font.family\"),fontSize:s.castHoverOption(g,y,\"font.size\"),fontColor:s.castHoverOption(g,y,\"font.color\"),nameLength:s.castHoverOption(g,y,\"namelength\"),textAlign:s.castHoverOption(g,y,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},2487:function(t,e,r){\"use strict\";var n=r(13582).overrideAll,i=r(6811),a=r(20299),o=r(4173).KO,s=r(34809),l=r(62972),c=\"gl3d\",u=\"scene\";e.name=c,e.attr=u,e.idRoot=u,e.idRegex=e.attrRegex=s.counterRegex(\"scene\"),e.attributes=r(22597),e.layoutAttributes=r(77168),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),e.supplyLayoutDefaults=r(15250),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots[c],i=0;i<n.length;i++){var s=n[i],l=o(r,c,s),u=e[s],h=u.camera,f=u._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:h},e),u._scene=f),f.viewInitial||(f.viewInitial={up:{x:h.up.x,y:h.up.y,z:h.up.z},eye:{x:h.eye.x,y:h.eye.y,z:h.eye.z},center:{x:h.center.x,y:h.center.y,z:h.center.z}}),f.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots[c]||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots[c],n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,u=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":u,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),u+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[c],n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},22597:function(t){\"use strict\";t.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},63397:function(t,e,r){\"use strict\";var n=r(78766),i=r(25829),a=r(93049).extendFlat,o=r(13582).overrideAll;t.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,autorangeoptions:{minallowed:i.autorangeoptions.minallowed,maxallowed:i.autorangeoptions.maxallowed,clipmin:i.autorangeoptions.clipmin,clipmax:i.autorangeoptions.clipmax,include:i.autorangeoptions.include,editType:\"plot\"},rangemode:i.rangemode,minallowed:i.minallowed,maxallowed:i.maxallowed,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.minor.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,labelalias:i.labelalias,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},34258:function(t,e,r){\"use strict\";var n=r(65657).mix,i=r(34809),a=r(78032),o=r(63397),s=r(4392),l=r(97655),c=[\"xaxis\",\"yaxis\",\"zaxis\"];t.exports=function(t,e,r){var u,h;function f(t,e){return i.coerce(u,h,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(h=a.newContainer(e,d))._id=d[0]+r.scene,h._name=d,s(u,h,f,r),l(u,h,f,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noAutotickangles:!0,noTicklabelindex:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelshift:!0,noTicklabelstandoff:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),f(\"gridcolor\",n(h.color,r.bgColor,72.72727272727273).toRgbString()),f(\"title.text\",d[0]),h.setScale=i.noop,f(\"showspikes\")&&(f(\"spikesides\"),f(\"spikethickness\"),f(\"spikecolor\",h.color)),f(\"showaxeslabels\"),f(\"showbackground\")&&f(\"backgroundcolor\")}}},95701:function(t,e,r){\"use strict\";var n=r(55010),i=r(34809),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=this,o=0;o<3;++o){var s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,\"font\"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size),s.title.font.weight&&(r.labelFontWeight[o]=s.title.font.weight),s.title.font.style&&(r.labelFontStyle[o]=s.title.font.style),s.title.font.variant&&(r.labelFontVariant[o]=s.title.font.variant)),\"showline\"in s&&(r.lineEnable[o]=s.showline),\"linecolor\"in s&&(r.lineColor[o]=n(s.linecolor)),\"linewidth\"in s&&(r.lineWidth[o]=s.linewidth),\"showgrid\"in s&&(r.gridEnable[o]=s.showgrid),\"gridcolor\"in s&&(r.gridColor[o]=n(s.gridcolor)),\"gridwidth\"in s&&(r.gridWidth[o]=s.gridwidth),\"log\"===s.type?r.zeroEnable[o]=!1:\"zeroline\"in s&&(r.zeroEnable[o]=s.zeroline),\"zerolinecolor\"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),\"zerolinewidth\"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),\"ticks\"in s&&s.ticks?r.lineTickEnable[o]=!0:r.lineTickEnable[o]=!1,\"ticklen\"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),\"tickcolor\"in s&&(r.lineTickColor[o]=n(s.tickcolor)),\"tickwidth\"in s&&(r.lineTickWidth[o]=s.tickwidth),\"tickangle\"in s&&(r.tickAngle[o]=\"auto\"===s.tickangle?-3600:Math.PI*-s.tickangle/180),\"showticklabels\"in s&&(r.tickEnable[o]=s.showticklabels),\"tickfont\"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size),s.tickfont.weight&&(r.tickFontWeight[o]=s.tickfont.weight),s.tickfont.style&&(r.tickFontStyle[o]=s.tickfont.style),s.tickfont.variant&&(r.tickFontVariant[o]=s.tickfont.variant)),\"mirror\"in s?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(s.mirror)?(r.lineTickMirror[o]=!0,r.lineMirror[o]=!0):!0===s.mirror?(r.lineTickMirror[o]=!1,r.lineMirror[o]=!0):(r.lineTickMirror[o]=!1,r.lineMirror[o]=!1):r.lineMirror[o]=!1,\"showbackground\"in s&&!1!==s.showbackground?(r.backgroundEnable[o]=!0,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=!1):(r.tickEnable[o]=!1,r.labelEnable[o]=!1,r.lineEnable[o]=!1,r.lineTickEnable[o]=!1,r.gridEnable[o]=!1,r.zeroEnable[o]=!1,r.backgroundEnable[o]=!1)}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r}},15250:function(t,e,r){\"use strict\";var n=r(34809),i=r(78766),a=r(33626),o=r(4448),s=r(34258),l=r(77168),c=r(4173).KO,u=\"gl3d\";function h(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),h=[\"up\",\"center\",\"eye\"],f=0;f<h.length;f++)r(\"camera.\"+h[f]+\".x\"),r(\"camera.\"+h[f]+\".y\"),r(\"camera.\"+h[f]+\".z\");r(\"camera.projection.type\");var p=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),d=r(\"aspectmode\",p?\"manual\":\"auto\");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var m=c(n.fullData,u,n.id);s(t,e,{font:n.font,scene:n.id,data:m,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var y=t.camera.up.x,v=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&v&&x?x/Math.sqrt(y*y+v*v+x*x)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:u,attributes:l,handleDefaults:h,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})}},77168:function(t,e,r){\"use strict\";var n=r(63397),i=r(13792).u,a=r(93049).extendFlat,o=r(34809).counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}t.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},64087:function(t,e,r){\"use strict\";var n=r(55010),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},32412:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var h=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var f=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/f)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=h}}for(e.ticks=l,c=0;c<3;++c)for(o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]),d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c];t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=r(29714),i=r(34809),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},25802:function(t){\"use strict\";function e(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))}},20299:function(t,e,r){\"use strict\";var n,i,a=r(99098).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(22248),c=r(74043),u=r(33626),h=r(34809),f=h.preserveDrawingBuffer(),p=r(29714),d=r(32141),m=r(55010),g=r(97464),y=r(25802),v=r(95701),x=r(64087),_=r(32412),b=r(32919).applyAutorangeOptions,w=!1;function T(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=v(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var k=T.prototype;k.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:f,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");e.gl=i,e.canvas=n}return e};var A=!0;k.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!A||f)r=!1;else{h.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{f=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){f=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return A=!1,r},k.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r=\"orthographic\"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},k.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"touchstart\",(function(){w=!0})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},k.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),_(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,f=e.glplot.selection,m=0;m<c.length;++m)\"skip\"!==(t=e.traces[c[m]]).data.hoverinfo&&t.handlePick(f)&&(u=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==u){var v=y(e.glplot.cameraParams,f.dataCoordinate);t=u.data;var x,b=r._fullData[t.index],T=f.index,k={xLabel:g(\"x\",f.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",f.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",f.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(b,e.fullLayout,T),M=(A||\"\").split(\"+\"),S=A&&\"all\"===A;b.hovertemplate||S||(-1===M.indexOf(\"x\")&&(k.xLabel=void 0),-1===M.indexOf(\"y\")&&(k.yLabel=void 0),-1===M.indexOf(\"z\")&&(k.zLabel=void 0),-1===M.indexOf(\"text\")&&(f.textLabel=void 0),-1===M.indexOf(\"name\")&&(u.name=void 0));var E=[];\"cone\"===t.type||\"streamtube\"===t.type?(k.uLabel=g(\"x\",f.traceCoordinate[3],t.uhoverformat),(S||-1!==M.indexOf(\"u\"))&&E.push(\"u: \"+k.uLabel),k.vLabel=g(\"y\",f.traceCoordinate[4],t.vhoverformat),(S||-1!==M.indexOf(\"v\"))&&E.push(\"v: \"+k.vLabel),k.wLabel=g(\"z\",f.traceCoordinate[5],t.whoverformat),(S||-1!==M.indexOf(\"w\"))&&E.push(\"w: \"+k.wLabel),k.normLabel=f.traceCoordinate[6].toPrecision(3),(S||-1!==M.indexOf(\"norm\"))&&E.push(\"norm: \"+k.normLabel),\"streamtube\"===t.type&&(k.divergenceLabel=f.traceCoordinate[7].toPrecision(3),(S||-1!==M.indexOf(\"divergence\"))&&E.push(\"divergence: \"+k.divergenceLabel)),f.textLabel&&E.push(f.textLabel),x=E.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(k.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(f.traceCoordinate[3]),t.valuehoverformat),E.push(\"value: \"+k.valueLabel),f.textLabel&&E.push(f.textLabel),x=E.join(\"<br>\")):x=f.textLabel;var C={x:f.traceCoordinate[0],y:f.traceCoordinate[1],z:f.traceCoordinate[2],data:b._input,fullData:b,curveNumber:b.index,pointNumber:T};d.appendArrayPointValue(C,b,T),t._module.eventData&&(C=b._module.eventData(C,f,b,{},T));var L={points:[C]};if(e.fullSceneLayout.hovermode){var I=[];d.loneHover({trace:b,x:(.5+.5*v[0]/v[3])*s,y:(.5-.5*v[1]/v[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:x,name:u.name,color:d.castHoverOption(b,T,\"bgcolor\")||u.color,borderColor:d.castHoverOption(b,T,\"bordercolor\"),fontFamily:d.castHoverOption(b,T,\"font.family\"),fontSize:d.castHoverOption(b,T,\"font.size\"),fontColor:d.castHoverOption(b,T,\"font.color\"),nameLength:d.castHoverOption(b,T,\"namelength\"),textAlign:d.castHoverOption(b,T,\"align\"),hovertemplate:h.castOption(b,T,\"hovertemplate\"),hovertemplateLabels:h.extendFlat({},C,k),eventData:[C]},{container:n,gd:r,inOut_bbox:I}),C.bbox=I[0]}f.distance<5&&(f.buttons||w)?r.emit(\"plotly_click\",L):r.emit(\"plotly_hover\",L),this.oldEventData=L}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},k.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):h.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var M=[\"xaxis\",\"yaxis\",\"zaxis\"];function S(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=M[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(h.isArrayOrTypedArray(l))for(var f,p=0;p<(u||l.length);p++)if(h.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)f=s.d2l(l[p][d],0,c),!isNaN(f)&&isFinite(f)&&(r[0][i]=Math.min(r[0][i],f),r[1][i]=Math.max(r[1][i],f));else f=s.d2l(l[p],0,c),!isNaN(f)&&isFinite(f)&&(r[0][i]=Math.min(r[0][i],f),r[1][i]=Math.max(r[1][i],f));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}k.plot=function(t,e,r){var n=this;if(n.plotArgs=[t,e,r],!n.glplot.contextLost){var i,a,o,s,l,c,u=e[n.id],h=r[n.id];n.fullLayout=e,n.fullSceneLayout=u,n.axesOptions.merge(e,u),n.spikeOptions.merge(u),n.setViewport(u),n.updateFx(u.dragmode,u.hovermode),n.camera.enableWheel=n.graphDiv._context._scrollZoom.gl3d,n.glplot.setClearColor(m(u.bgcolor)),n.setConvert(l),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&S(this,i,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=M[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var p=[1,1,1];for(s=0;s<3;++s)f[1][s]===f[0][s]?p[s]=1:p[s]=1/(f[1][s]-f[0][s]);for(n.dataScale=p,n.convertAnnotations(this),o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&((a=n.traces[i.uid])?a.data.type===i.type?a.update(i):(a.dispose(),a=i._module.plot(this,i),n.traces[i.uid]=a):(a=i._module.plot(this,i),n.traces[i.uid]=a),a.name=i.name);var d=Object.keys(n.traces);t:for(o=0;o<d.length;++o){for(s=0;s<t.length;++s)if(t[s].uid===d[o]&&!0===t[s].visible&&0!==t[s]._length)continue t;(a=n.traces[d[o]]).dispose(),delete n.traces[d[o]]}n.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var g,y=[[0,0,0],[0,0,0]],v=[],x={};for(o=0;o<3;++o){var _;if((c=(l=u[M[o]]).type)in x?(x[c].acc*=p[o],x[c].count+=1):x[c]={acc:p[o],count:1},l.autorange){y[0][o]=1/0,y[1][o]=-1/0;var w=n.glplot.objects,T=n.fullSceneLayout.annotations||[],k=l._name.charAt(0);for(s=0;s<w.length;s++){var A=w[s],E=A.bounds,C=A._trace.data._pad||0;\"ErrorBars\"===A.constructor.name&&l._lowerLogErrorBound?y[0][o]=Math.min(y[0][o],l._lowerLogErrorBound):y[0][o]=Math.min(y[0][o],E[0][o]/p[o]-C),y[1][o]=Math.max(y[1][o],E[1][o]/p[o]+C)}for(s=0;s<T.length;s++){var L=T[s];if(L.visible){var I=l.r2l(L[k]);y[0][o]=Math.min(y[0][o],I),y[1][o]=Math.max(y[1][o],I)}}if(\"rangemode\"in l&&\"tozero\"===l.rangemode&&(y[0][o]=Math.min(y[0][o],0),y[1][o]=Math.max(y[1][o],0)),y[0][o]>y[1][o])y[0][o]=-1,y[1][o]=1;else{var P=y[1][o]-y[0][o];y[0][o]-=P/32,y[1][o]+=P/32}if(_=[y[0][o],y[1][o]],_=b(_,l),y[0][o]=_[0],y[1][o]=_[1],l.isReversed()){var z=y[0][o];y[0][o]=y[1][o],y[1][o]=z}}else _=l.range,y[0][o]=l.r2l(_[0]),y[1][o]=l.r2l(_[1]);y[0][o]===y[1][o]&&(y[0][o]-=1,y[1][o]+=1),v[o]=y[1][o]-y[0][o],l.range=[y[0][o],y[1][o]],l.limitRange(),n.glplot.setBounds(o,{min:l.range[0]*p[o],max:l.range[1]*p[o]})}var O=u.aspectmode;if(\"cube\"===O)g=[1,1,1];else if(\"manual\"===O){var D=u.aspectratio;g=[D.x,D.y,D.z]}else{if(\"auto\"!==O&&\"data\"!==O)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var R=[1,1,1];for(o=0;o<3;++o){var F=x[c=(l=u[M[o]]).type];R[o]=Math.pow(F.acc,1/F.count)/p[o]}g=\"data\"===O||Math.max.apply(null,R)/Math.min.apply(null,R)<=4?R:[1,1,1]}u.aspectratio.x=h.aspectratio.x=g[0],u.aspectratio.y=h.aspectratio.y=g[1],u.aspectratio.z=h.aspectratio.z=g[2],n.glplot.setAspectratio(u.aspectratio),n.viewInitial.aspectratio||(n.viewInitial.aspectratio={x:u.aspectratio.x,y:u.aspectratio.y,z:u.aspectratio.z}),n.viewInitial.aspectmode||(n.viewInitial.aspectmode=u.aspectmode);var B=u.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=h.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var 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e=t.id;if(!f[e]&&e.includes(\"-15\")){f[e]=!0;var r=new Image(15,15);r.onload=function(){h.addImage(e,r)},r.crossOrigin=\"Anonymous\",r.src=\"https://unpkg.com/maki@2.1.0/icons/\"+e+\".svg\"}})),h.setTransformRequest((function(t){return{url:t=(t=(t=t.replace(\"https://fonts.openmaptiles.org/Open Sans Extrabold\",\"https://fonts.openmaptiles.org/Open Sans Extra Bold\")).replace(\"https://tiles.basemaps.cartocdn.com/fonts/Open Sans Extrabold\",\"https://fonts.openmaptiles.org/Open Sans Extra Bold\")).replace(\"https://fonts.openmaptiles.org/Open Sans Regular,Arial Unicode MS Regular\",\"https://fonts.openmaptiles.org/Klokantech Noto Sans Regular\")}})),h._canvas.style.left=\"0px\",h._canvas.style.top=\"0px\",o.rejectOnError(i),o.isStatic||o.initFx(t,e);var p=[];p.push(new 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u,h,f={};for(u in a)f[n=a[u]]?f[n].push(u):f[n]=[u];for(n in f){var p=f[n];if(p.length>1)for(r=0;r<p.length;r++)0===(u=p[r]).indexOf(\"trace-\")?(h=u.split(\"trace-\")[1],this.traceHash[h]&&(this.traceHash[h].below=null)):0===u.indexOf(\"layout-\")&&(h=u.split(\"layout-\")[1],this.layerList[h]&&(this.layerList[h].below=null))}};var b={choroplethmap:0,densitymap:1,scattermap:2};function w(t){var e={};return i.isPlainObject(t)?(e.id=t.id,e.style=t):\"string\"==typeof t?(e.id=t,y.stylesMap[t]?e.style=y.stylesMap[t]:e.style=t):(e.id=y.styleValueDflt,e.style=function(t){return y.styleUrlPrefix+t+\"-\"+y.styleUrlSuffix}(y.styleValueDflt)),e.transition={duration:0,delay:0},e}function T(t){return[t.lon,t.lat]}_.updateData=function(t){var e,r,n,i,a=this.traceHash,o=t.slice().sort((function(t,e){return b[t[0].trace.type]-b[e[0].trace.type]}));for(n=0;n<o.length;n++){var 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i=n._fullLayout.clickmode;i.indexOf(\"select\")>-1&&g(e.originalEvent,n,[r.xaxis],[r.yaxis],r.id,t),i.indexOf(\"event\")>-1&&c.click(n,e.originalEvent)}}},_.updateFx=function(t){var e=this,r=e.map,n=e.gd;if(!e.isStatic){var a,o=t.dragmode;a=function(t,r){r.isRect?(t.range={})[e.id]=[c([r.xmin,r.ymin]),c([r.xmax,r.ymax])]:(t.lassoPoints={})[e.id]=r.map(c)};var s=e.dragOptions;e.dragOptions=i.extendDeep(s||{},{dragmode:t.dragmode,element:e.div,gd:n,plotinfo:{id:e.id,domain:t[e.id].domain,xaxis:e.xaxis,yaxis:e.yaxis,fillRangeItems:a},xaxes:[e.xaxis],yaxes:[e.yaxis],subplot:e.id}),r.off(\"click\",e.onClickInPanHandler),f(o)||h(o)?(r.dragPan.disable(),r.on(\"zoomstart\",e.clearOutline),e.dragOptions.prepFn=function(t,r,n){p(t,r,n,e.dragOptions,o)},l.init(e.dragOptions)):(r.dragPan.enable(),r.off(\"zoomstart\",e.clearOutline),e.div.onmousedown=null,e.div.ontouchstart=null,e.div.removeEventListener(\"touchstart\",e.div._ontouchstart),e.onClickInPanHandler=e.onClickInPanFn(e.dragOptions),r.on(\"click\",e.onClickInPanHandler))}function c(t){var r=e.map.unproject(t);return[r.lng,r.lat]}},_.updateFramework=function(t){var e=t[this.id].domain,r=t._size,n=this.div.style;n.width=r.w*(e.x[1]-e.x[0])+\"px\",n.height=r.h*(e.y[1]-e.y[0])+\"px\",n.left=r.l+e.x[0]*r.w+\"px\",n.top=r.t+(1-e.y[1])*r.h+\"px\",this.xaxis._offset=r.l+e.x[0]*r.w,this.xaxis._length=r.w*(e.x[1]-e.x[0]),this.yaxis._offset=r.t+(1-e.y[1])*r.h,this.yaxis._length=r.h*(e.y[1]-e.y[0])},_.updateLayers=function(t){var e,r=t[this.id].layers,n=this.layerList;if(r.length!==n.length){for(e=0;e<n.length;e++)n[e].dispose();for(n=this.layerList=[],e=0;e<r.length;e++)n.push(v(this,e,r[e]))}else for(e=0;e<r.length;e++)n[e].update(r[e])},_.destroy=function(){this.map&&(this.map.remove(),this.map=null,this.container.removeChild(this.div))},_.toImage=function(){return this.map.stop(),this.map.getCanvas().toDataURL()},_.setOptions=function(t,e,r){for(var n in r)this.map[e](t,n,r[n])},_.getMapLayers=function(){return this.map.getStyle().layers},_.addLayer=function(t,e){var r=this.map;if(\"string\"==typeof e){if(\"\"===e)return void r.addLayer(t,e);for(var n=this.getMapLayers(),a=0;a<n.length;a++)if(e===n[a].id)return void r.addLayer(t,e);i.warn([\"Trying to add layer with *below* value\",e,\"referencing a layer that does not exist\",\"or that does not yet exist.\"].join(\" \"))}r.addLayer(t)},_.project=function(t){return this.map.project(new n.LngLat(t[0],t[1]))},_.getView=function(){var t=this.map,e=t.getCenter(),r={lon:e.lng,lat:e.lat},n=t.getCanvas(),i=parseInt(n.style.width),a=parseInt(n.style.height);return{center:r,zoom:t.getZoom(),bearing:t.getBearing(),pitch:t.getPitch(),_derived:{coordinates:[t.unproject([0,0]).toArray(),t.unproject([i,0]).toArray(),t.unproject([i,a]).toArray(),t.unproject([0,a]).toArray()]}}},_.getViewEdits=function(t){for(var e=this.id,r=[\"center\",\"zoom\",\"bearing\",\"pitch\"],n={},i=0;i<r.length;i++){var a=r[i];n[e+\".\"+a]=t[a]}return n},_.getViewEditsWithDerived=function(t){var e=this.id,r=this.getViewEdits(t);return r[e+\"._derived\"]=t._derived,r},t.exports=x},44245:function(t,e,r){\"use strict\";var n=r(62994),i=\"1.13.4\",a='© <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">OpenStreetMap</a> contributors',o=['© <a target=\"_blank\" href=\"https://carto.com/\">Carto</a>',a].join(\" \"),s=['Map tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">ODbL</a>'].join(\" 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tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by-sa/3.0\">CC BY SA</a>'].join(\" 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e,r,s=this,c=s.isSmith,u=s.gd,h=s.layers,f=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,m=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,C=s.sectorInRad,L=s.vangles,I=s.radialAxis,P=E.clampTiny,z=E.findXYatLength,O=E.findEnclosingVertexAngles,D=S.cornerHalfWidth,R=S.cornerLen/2,F=g.makeDragger(h,\"path\",\"maindrag\",!1===t.dragmode?\"none\":\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){v.hover(u,t,s.id),u._fullLayout._lasthover=F,u._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){u._dragging||y.unhover(u,t)};var B,N,j,U,V,q,H,G,Z,W={element:F,gd:u,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function Y(t,e){return Math.sqrt(t*t+e*e)}function X(t,e){return Y(t-A,e-M)}function $(t,e){return Math.atan2(M-e,t-A)}function J(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function K(t,e){if(0===t)return s.pathSector(2*D);var 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z,O,D,B=g.makeRectDragger(u,T,\"crosshair\",-x,-x,v,v),N={element:B,gd:c};!1===t.dragmode&&(N.dragmode=!1),V(n.select(B),m.visible&&f<h,{transform:l(_,b)}),N.prepFn=function(){z=null,O=null,D=null,N.moveFn=j,N.doneFn=q,w(c)},N.clampFn=function(t,e){return Math.sqrt(t*t+e*e)<S.MINDRAG&&(t=0,e=0),[t,e]},y.init(N)}function j(t,e){if(z)z(t,e);else{var n=[t,-e],a=[Math.cos(M),Math.sin(M)],s=Math.abs(o.dot(n,a)/Math.sqrt(o.dot(n,n)));isNaN(s)||(z=s<.5?H:G)}var l={};!function(t){null!==O?t[i.id+\".radialaxis.angle\"]=O:null!==D&&(t[i.id+\".radialaxis.range[\"+r+\"]\"]=D)}(l),c.emit(\"plotly_relayouting\",l)}function q(){null!==O?a.call(\"_guiRelayout\",c,i.id+\".radialaxis.angle\",O):null!==D&&a.call(\"_guiRelayout\",c,i.id+\".radialaxis.range[\"+r+\"]\",D)}function H(t,e){if(0!==r){var n=_+t,a=b+e;O=Math.atan2(d-a,n-p),i.vangles&&(O=U(O,i.vangles)),O=F(O);var o=l(p,d)+s(-O);u[\"radial-axis\"].attr(\"transform\",o),u[\"radial-line\"].select(\"line\").attr(\"transform\",o);var 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traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"above traces\"===t.caxis.layer&&r.push(\"caxis\",\"cline\");var i=this.plotContainer.selectAll(\"g.toplevel\").data(r,String),a=[\"agrid\",\"bgrid\",\"cgrid\"];i.enter().append(\"g\").attr(\"class\",(function(t){return\"toplevel \"+t})).each((function(t){var r=n.select(this);e[t]=r,\"frontplot\"===t?r.append(\"g\").classed(\"scatterlayer\",!0):\"backplot\"===t?r.append(\"g\").classed(\"maplayer\",!0):\"plotbg\"===t?r.append(\"path\").attr(\"d\",\"M0,0Z\"):\"aline\"===t||\"bline\"===t||\"cline\"===t?r.append(\"path\"):\"grids\"===t&&a.forEach((function(t){e[t]=r.append(\"g\").classed(\"grid \"+t,!0)}))})),i.order()};var E=Math.sqrt(4/3);S.adjustLayout=function(t,e){var r,n,i,a,o,l,p=this,d=t.domain,m=(d.x[0]+d.x[1])/2,g=(d.y[0]+d.y[1])/2,y=d.x[1]-d.x[0],v=d.y[1]-d.y[0],x=y*e.w,_=v*e.h,b=t.sum,w=t.aaxis.min,T=t.baxis.min,k=t.caxis.min;x>E*_?i=(a=_)*E:a=(i=x)/E,o=y*i/x,l=v*a/_,r=e.l+e.w*m-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=b,p.xaxis={type:\"linear\",range:[w+2*k-b,b-w-2*T],domain:[m-o/2,m+o/2],_id:\"x\"},h(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,b-T-k],domain:[g-l/2,g+l/2],_id:\"y\"},h(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=f({},t.aaxis,{range:[w,b-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});h(M,p.graphDiv._fullLayout),M.setScale();var S=p.baxis=f({},t.baxis,{range:[b-w-k,T],side:\"bottom\",domain:p.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:i});h(S,p.graphDiv._fullLayout),S.setScale();var C=p.caxis=f({},t.caxis,{range:[b-w-T,k],side:\"right\",tickangle:(+t.caxis.tickangle||0)+30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});h(C,p.graphDiv._fullLayout),C.setScale();var L=\"M\"+r+\",\"+(n+a)+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDef.select(\"path\").attr(\"d\",L),p.layers.plotbg.select(\"path\").attr(\"d\",L);var I=\"M0,\"+a+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDefRelative.select(\"path\").attr(\"d\",I);var P=s(r,n);p.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",P),p.clipDefRelative.select(\"path\").attr(\"transform\",null);var z=s(r-S._offset,n+a);p.layers.baxis.attr(\"transform\",z),p.layers.bgrid.attr(\"transform\",z);var O=s(r+i/2,n)+\"rotate(30)\"+s(0,-M._offset);p.layers.aaxis.attr(\"transform\",O),p.layers.agrid.attr(\"transform\",O);var D=s(r+i/2,n)+\"rotate(-30)\"+s(0,-C._offset);p.layers.caxis.attr(\"transform\",D),p.layers.cgrid.attr(\"transform\",D),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(c.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(c.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",C.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(c.stroke,C.linecolor||\"#000\").style(\"stroke-width\",(C.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),u.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 c=Math.max(a.showticklabels?a.tickfont.size/2:0,(s.showticklabels?.75*s.tickfont.size:0)+(\"outside\"===s.ticks?.87*s.ticklen:0)),u=(o.showticklabels?o.tickfont.size:0)+(\"outside\"===o.ticks?o.ticklen:0)+3;i[\"a-title\"]=_.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-c,\"text-anchor\":\"middle\"}}),i[\"b-title\"]=_.draw(r,\"b\"+n,{propContainer:o,propName:e.id+\".baxis.title\",placeholder:l(r,\"Click to enter Component B title\"),attributes:{x:e.x0-u,y:e.y0+e.h+.83*o.title.font.size+u,\"text-anchor\":\"middle\"}}),i[\"c-title\"]=_.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+u,y:e.y0+e.h+.83*s.title.font.size+u,\"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],c=a+\"tickLayout\",u=(e=t).ticks+String(e.ticklen)+String(e.showticklabels);r[c]!==u&&(l.selectAll(\".\"+s+\"tick\").remove(),r[c]=u),t.setScale();var h=d.calcTicks(t),f=d.clipEnds(t,h),p=d.makeTransTickFn(t),m=d.getTickSigns(t)[2],g=o.deg2rad(30),y=m*(t.linewidth||1)/2,v=m*t.ticklen,x=r.w,_=r.h,b=\"b\"===a?\"M0,\"+y+\"l\"+Math.sin(g)*v+\",\"+Math.cos(g)*v:\"M\"+y+\",0l\"+Math.cos(g)*v+\",\"+-Math.sin(g)*v,w={a:\"M0,0l\"+_+\",-\"+x/2,b:\"M0,0l-\"+x/2+\",-\"+_,c:\"M0,0l-\"+_+\",\"+x/2}[a];d.drawTicks(n,t,{vals:\"inside\"===t.ticks?f:h,layer:l,path:b,transFn:p,crisp:!1}),d.drawGrid(n,t,{vals:f,layer:r.layers[a+\"grid\"],path:w,transFn:p,crisp:!1}),d.drawLabels(n,t,{vals:h,layer:l,transFn:p,labelFns:d.makeLabelFns(t,0,30)})};var C=A.MINZOOM/2+.87,L=\"m-0.87,.5h\"+C+\"v3h-\"+(C+5.2)+\"l\"+(C/2+2.6)+\",-\"+(.87*C+4.5)+\"l2.6,1.5l-\"+C/2+\",\"+.87*C+\"Z\",I=\"m0.87,.5h-\"+C+\"v3h\"+(C+5.2)+\"l-\"+(C/2+2.6)+\",-\"+(.87*C+4.5)+\"l-2.6,1.5l\"+C/2+\",\"+.87*C+\"Z\",P=\"m0,1l\"+C/2+\",\"+.87*C+\"l2.6,-1.5l-\"+(C/2+2.6)+\",-\"+(.87*C+4.5)+\"l-\"+(C/2+2.6)+\",\"+(.87*C+4.5)+\"l2.6,1.5l\"+C/2+\",-\"+.87*C+\"Z\",z=!0;function O(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,h,f,p,d,y,_,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),C=M.graphDiv,D=C._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=C._fullLayout.clickmode;O(C),2===t&&(C.emit(\"plotly_doubleclick\",null),a.call(\"_guiRelayout\",C,R({a:0,b:0,c:0}))),r.indexOf(\"select\")>-1&&1===t&&w(e,C,[M.xaxis],[M.yaxis],M.id,M.dragOptions),r.indexOf(\"event\")>-1&&g.click(C,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))),c=Math.max(0,Math.min(1,N(r,n),N(o,s))),u=Math.max(0,Math.min(1,j(r,n),j(o,s))),m=(l/2+u)*M.w,g=(1-l/2-c)*M.w,v=(m+g)/2,x=g-m,b=(1-l)*M.h,w=b-x/E;x<A.MINZOOM?(p=h,T.attr(\"d\",y),k.attr(\"d\",\"M0,0Z\")):(p={a:h.a+l*f,b:h.b+c*f,c:h.c+u*f},T.attr(\"d\",y+\"M\"+m+\",\"+b+\"H\"+g+\"L\"+v+\",\"+w+\"L\"+m+\",\"+b+\"Z\"),k.attr(\"d\",\"M\"+r+\",\"+n+\"m0.5,0.5h5v-2h-5v-5h-2v5h-5v2h5v5h2ZM\"+m+\",\"+b+L+\"M\"+g+\",\"+b+I+\"M\"+v+\",\"+w+P)),_||(T.transition().style(\"fill\",d>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),k.transition().style(\"opacity\",1).duration(200),_=!0),C.emit(\"plotly_relayouting\",R(p))}function V(){O(C),p!==h&&(a.call(\"_guiRelayout\",C,R(p)),z&&C.data&&C._context.showTips&&(o.notifier(l(C,\"Double-click to zoom back out\"),\"long\"),z=!1))}function q(t,e){var r=t/M.xaxis._m,n=e/M.yaxis._m,i=[(p={a:h.a-n,b:h.b+(r+n)/2,c:h.c-(r-n)/2}).a,p.b,p.c].sort(o.sorterAsc),a=i.indexOf(p.a),l=i.indexOf(p.b),c=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[c]},e=(h.a-p.a)*M.yaxis._m,t=(h.c-p.c-h.b+p.b)*M.xaxis._m);var f=s(M.x0+t,M.y0+e);M.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",f);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(u.hideOutsideRangePoints,M),C.emit(\"plotly_relayouting\",R(p))}function H(){a.call(\"_guiRelayout\",C,R(p))}this.dragOptions={element:S,gd:C,plotinfo:{id:M.id,domain:C._fullLayout[M.id].domain,xaxis:M.xaxis,yaxis:M.yaxis},subplot:M.id,prepFn:function(a,l,u){M.dragOptions.xaxes=[M.xaxis],M.dragOptions.yaxes=[M.yaxis],t=C._fullLayout._invScaleX,e=C._fullLayout._invScaleY;var m=M.dragOptions.dragmode=C._fullLayout.dragmode;v(m)?M.dragOptions.minDrag=1:M.dragOptions.minDrag=void 0,\"zoom\"===m?(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,C._fullLayout._calcInverseTransform(C);var u=C._fullLayout._invTransform,m=o.apply3DTransform(u)(r,n);r=m[0],n=m[1],h={a:M.aaxis.range[0],b:M.baxis.range[1],c:M.caxis.range[1]},p=h,f=M.aaxis.range[1]-h.a,d=i(M.graphDiv._fullLayout[M.id].bgcolor).getLuminance(),y=\"M0,\"+M.h+\"L\"+M.w/2+\", 0L\"+M.w+\",\"+M.h+\"Z\",_=!1,T=D.append(\"path\").attr(\"class\",\"zoombox\").attr(\"transform\",s(M.x0,M.y0)).style({fill:d>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"d\",y),k=D.append(\"path\").attr(\"class\",\"zoombox-corners\").attr(\"transform\",s(M.x0,M.y0)).style({fill:c.background,stroke:c.defaultLine,\"stroke-width\":1,opacity:0}).attr(\"d\",\"M0,0Z\"),M.clearOutline(C)}(0,l,u)):\"pan\"===m?(M.dragOptions.moveFn=q,M.dragOptions.clickFn=F,M.dragOptions.doneFn=H,h={a:M.aaxis.range[0],b:M.baxis.range[1],c:M.caxis.range[1]},p=h,M.clearOutline(C)):(x(m)||v(m))&&b(a,l,u,M.dragOptions,m)}},S.onmousemove=function(t){g.hover(C,t,M.id),C._fullLayout._lasthover=S,C._fullLayout._hoversubplot=M.id},S.onmouseout=function(t){C._dragging||m.unhover(C,t)},m.init(this.dragOptions)}},33626:function(t,e,r){\"use strict\";var n=r(48636),i=r(4969),a=r(36539),o=r(56174),s=r(95425).addStyleRule,l=r(93049),c=r(9829),u=r(6704),h=l.extendFlat,f=l.extendDeepAll;function p(t){var i=t.name,a=t.categories,o=t.meta;if(e.modules[i])n.log(\"Type \"+i+\" already registered\");else{e.subplotsRegistry[t.basePlotModule.name]||function(t){var r=t.name;if(e.subplotsRegistry[r])n.log(\"Plot type \"+r+\" already registered.\");else for(var i in y(t),e.subplotsRegistry[r]=t,e.componentsRegistry)_(i,t.name)}(t.basePlotModule);for(var l={},c=0;c<a.length;c++)l[a[c]]=!0,e.allCategories[a[c]]=!0;for(var u in e.modules[i]={_module:t,categories:l},o&&Object.keys(o).length&&(e.modules[i].meta=o),e.allTypes.push(i),e.componentsRegistry)v(u,i);t.layoutAttributes&&h(e.traceLayoutAttributes,t.layoutAttributes);var f=t.basePlotModule,p=f.name;if(\"mapbox\"===p){var d=f.constants.styleRules;for(var m in d)s(\".js-plotly-plot .plotly .mapboxgl-\"+m,d[m])}\"map\"===p&&r(96144),\"geo\"!==p&&\"mapbox\"!==p&&\"map\"!==p||void 0!==window.PlotlyGeoAssets||(window.PlotlyGeoAssets={topojson:{}})}}function d(t){if(\"string\"!=typeof t.name)throw new Error(\"Component module *name* must be a string.\");var r=t.name;for(var n in e.componentsRegistry[r]=t,t.layoutAttributes&&(t.layoutAttributes._isLinkedToArray&&a(e.layoutArrayContainers,r),y(t)),e.modules)v(r,n);for(var i in e.subplotsRegistry)_(r,i);for(var o in e.transformsRegistry)x(r,o);t.schema&&t.schema.layout&&f(u,t.schema.layout)}function m(t){if(\"string\"!=typeof t.name)throw new Error(\"Transform module *name* must be a string.\");var r=\"Transform module \"+t.name,i=\"function\"==typeof t.transform,a=\"function\"==typeof t.calcTransform;if(!i&&!a)throw new Error(r+\" is missing a *transform* or *calcTransform* method.\");for(var s in i&&a&&n.log([r+\" has both a *transform* and *calcTransform* methods.\",\"Please note that all *transform* methods are executed\",\"before all *calcTransform* methods.\"].join(\" \")),o(t.attributes)||n.log(r+\" registered without an *attributes* object.\"),\"function\"!=typeof t.supplyDefaults&&n.log(r+\" registered without a *supplyDefaults* method.\"),e.transformsRegistry[t.name]=t,e.componentsRegistry)x(s,t.name)}function g(t){var r=t.name,n=r.split(\"-\")[0],i=t.dictionary,a=t.format,o=i&&Object.keys(i).length,s=a&&Object.keys(a).length,l=e.localeRegistry,c=l[r];if(c||(l[r]=c={}),n!==r){var u=l[n];u||(l[n]=u={}),o&&u.dictionary===c.dictionary&&(u.dictionary=i),s&&u.format===c.format&&(u.format=a)}o&&(c.dictionary=i),s&&(c.format=a)}function y(t){if(t.layoutAttributes){var r=t.layoutAttributes._arrayAttrRegexps;if(r)for(var n=0;n<r.length;n++)a(e.layoutArrayRegexes,r[n])}}function v(t,r){var n=e.componentsRegistry[t].schema;if(n&&n.traces){var i=n.traces[r];i&&f(e.modules[r]._module.attributes,i)}}function x(t,r){var n=e.componentsRegistry[t].schema;if(n&&n.transforms){var i=n.transforms[r];i&&f(e.transformsRegistry[r].attributes,i)}}function _(t,r){var n=e.componentsRegistry[t].schema;if(n&&n.subplots){var i=e.subplotsRegistry[r],a=i.layoutAttributes,o=\"subplot\"===i.attr?i.name:i.attr;Array.isArray(o)&&(o=o[0]);var 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strict\";t.exports={barmode:{valType:\"enumerated\",values:[\"stack\",\"group\",\"overlay\",\"relative\"],dflt:\"group\",editType:\"calc\"},barnorm:{valType:\"enumerated\",values:[\"\",\"fraction\",\"percent\"],dflt:\"\",editType:\"calc\"},bargap:{valType:\"number\",min:0,max:1,editType:\"calc\"},bargroupgap:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},barcornerradius:{valType:\"any\",editType:\"calc\"}}},78931:function(t,e,r){\"use strict\";var n=r(33626),i=r(29714),a=r(34809),o=r(25412),s=r(17550).validateCornerradius;t.exports=function(t,e,r){function l(r,n){return a.coerce(t,e,o,r,n)}for(var c=!1,u=!1,h=!1,f={},p=l(\"barmode\"),d=0;d<r.length;d++){var m=r[d];if(n.traceIs(m,\"bar\")&&m.visible){if(c=!0,\"group\"===p){var g=m.xaxis+m.yaxis;f[g]&&(h=!0),f[g]=!0}m.visible&&\"histogram\"===m.type&&\"category\"!==i.getFromId({_fullLayout:e},m[\"v\"===m.orientation?\"xaxis\":\"yaxis\"]).type&&(u=!0)}}if(c){\"overlay\"!==p&&l(\"barnorm\"),l(\"bargap\",u&&!h?0:.2),l(\"bargroupgap\");var y=l(\"barcornerradius\");e.barcornerradius=s(y)}else delete e.barmode}},32995:function(t,e,r){\"use strict\";var n=r(45568),i=r(10721),a=r(34809),o=r(30635),s=r(78766),l=r(62203),c=r(33626),u=r(29714).tickText,h=r(84102),f=h.recordMinTextSize,p=h.clearMinTextSize,d=r(6851),m=r(42843),g=r(56155),y=r(81481),v=y.text,x=y.textposition,_=r(36040).appendArrayPointValue,b=g.TEXTPAD;function w(t){return t.id}function T(t){if(t.ids)return w}function k(t){return(t>0)-(t<0)}function A(t,e){return t<e?1:-1}function M(t,e,r,n){var i;return!e.uniformtext.mode&&S(r)?(n&&(i=n()),t.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){i&&i()})).each(\"interrupt\",(function(){i&&i()}))):t}function S(t){return t&&t.duration>0}function E(t,e,r,n,i){return!(t<0||e<0)&&(r<=t&&n<=e||r<=e&&n<=t||(i?t>=r*(e/n):e>=n*(t/r)))}function C(t){return\"auto\"===t?0:t}function L(t,e){var r=Math.PI/180*e,n=Math.abs(Math.sin(r)),i=Math.abs(Math.cos(r));return{x:t.width*i+t.height*n,y:t.width*n+t.height*i}}function I(t,e,r,n,i,a){var o=!!a.isHorizontal,s=!!a.constrained,l=a.angle||0,c=a.anchor,u=\"end\"===c,h=\"start\"===c,f=((a.leftToRight||0)+1)/2,p=1-f,d=a.hasB,m=a.r,g=a.overhead,y=i.width,v=i.height,x=Math.abs(e-t),_=Math.abs(n-r),w=x>2*b&&_>2*b?b:0;x-=2*w,_-=2*w;var T=C(l);\"auto\"!==l||y<=x&&v<=_||!(y>x||v>_)||(y>_||v>x)&&y<v==x<_||(T+=90);var k,M,S=L(i,T);if(m&&m-g>b){var E=function(t,e,r,n,i,a,o,s,l){var c,u,h,f,p=Math.max(0,Math.abs(e-t)-2*b),d=Math.max(0,Math.abs(n-r)-2*b),m=a-b,g=o?m-Math.sqrt(m*m-(m-o)*(m-o)):m,y=l?2*m:s?m-o:2*g,v=l?2*m:s?2*g:m-o;return 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B=o?A(t,e):A(r,n);o?h?(z=t+B*w,D=-B*F):(z=e-B*w,D=B*F):h?(O=r+B*w,R=-B*F):(O=n-B*w,R=B*F)}return{textX:I,textY:P,targetX:z,targetY:O,anchorX:D,anchorY:R,scale:k,rotate:T}}t.exports={plot:function(t,e,r,h,g,y){var w=e.xaxis,P=e.yaxis,z=t._fullLayout,O=t._context.staticPlot;g||(g={mode:z.barmode,norm:z.barmode,gap:z.bargap,groupgap:z.bargroupgap},p(\"bar\",z));var D=a.makeTraceGroups(h,r,\"trace bars\").each((function(r){var c=n.select(this),h=r[0].trace,p=r[0].t,D=\"waterfall\"===h.type,R=\"funnel\"===h.type,F=\"histogram\"===h.type,B=\"bar\"===h.type,N=B||R,j=0;D&&h.connector.visible&&\"between\"===h.connector.mode&&(j=h.connector.line.width/2);var U=\"h\"===h.orientation,V=S(g),q=a.ensureSingle(c,\"g\",\"points\"),H=T(h),G=q.selectAll(\"g.point\").data(a.identity,H);G.enter().append(\"g\").classed(\"point\",!0),G.exit().remove(),G.each((function(c,T){var S,D,R=n.select(this),q=function(t,e,r,n){var i=[],a=[],o=n?e:r,s=n?r:e;return 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r,n=U?Math.abs(W-Z):Math.abs(G-H),i=U?Math.abs(G-H):Math.abs(W-Z),a=J(Math.abs(Q(K,!0)-Q(0,!0))),o=c.hasB?Math.min(n/2,i/2):Math.min(n/2,a);return r=\"%\"===e?n*(Math.min(50,t)/100):t,J(Math.max(Math.min(r,o),0))}(p.cornerradiusvalue,p.cornerradiusform):0,nt=\"M\"+H+\",\"+Z+\"V\"+W+\"H\"+G+\"V\"+Z+\"Z\",it=0;if(rt&&c.s){var at=0===k(c.s0)||k(c.s)===k(c.s0)?c.s1:c.s0;if((it=J(c.hasB?0:Math.abs(Q(K,!0)-Q(at,!0))))<rt){var ot=A(H,G),st=A(Z,W),lt=ot===-st?1:0;if(U)if(c.hasB)tt=\"M\"+(H+rt*ot)+\",\"+Z+\"A \"+rt+\",\"+rt+\" 0 0 \"+lt+\" \"+H+\",\"+(Z+rt*st)+\"V\"+(W-rt*st)+\"A \"+rt+\",\"+rt+\" 0 0 \"+lt+\" \"+(H+rt*ot)+\",\"+W+\"H\"+(G-rt*ot)+\"A \"+rt+\",\"+rt+\" 0 0 \"+lt+\" \"+G+\",\"+(W-rt*st)+\"V\"+(Z+rt*st)+\"A \"+rt+\",\"+rt+\" 0 0 \"+lt+\" \"+(G-rt*ot)+\",\"+Z+\"Z\";else{var ct=(et=Math.abs(G-H)+it)<rt?rt-Math.sqrt(et*(2*rt-et)):0,ut=it>0?Math.sqrt(it*(2*rt-it)):0,ht=ot>0?Math.max:Math.min;tt=\"M\"+H+\",\"+Z+\"V\"+(W-ct*st)+\"H\"+ht(G-(rt-it)*ot,H)+\"A \"+rt+\",\"+rt+\" 0 0 \"+lt+\" 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mt=M(a.ensureSingle(R,\"path\"),z,g,y);if(mt.style(\"vector-effect\",O?\"none\":\"non-scaling-stroke\").attr(\"d\",isNaN((G-H)*(W-Z))||Y&&t._context.staticPlot?\"M0,0Z\":tt).call(l.setClipUrl,e.layerClipId,t),!z.uniformtext.mode&&V){var gt=l.makePointStyleFns(h);l.singlePointStyle(c,mt,h,gt,t)}!function(t,e,r,n,i,s,c,h,p,g,y,w,T){var k,S=e.xaxis,P=e.yaxis,z=t._fullLayout;function O(e,r,n){return a.ensureSingle(e,\"text\").text(r).attr({class:\"bartext bartext-\"+k,\"text-anchor\":\"middle\",\"data-notex\":1}).call(l.font,n).call(o.convertToTspans,t)}var D=n[0].trace,R=\"h\"===D.orientation,F=function(t,e,r,n,i){var o,s=e[0].trace;return o=s.texttemplate?function(t,e,r,n,i){var o=e[0].trace,s=a.castOption(o,r,\"texttemplate\");if(!s)return\"\";var l,c,h,f,p=\"histogram\"===o.type,d=\"waterfall\"===o.type,m=\"funnel\"===o.type,g=\"h\"===o.orientation;function y(t){return u(f,f.c2l(t),!0).text}g?(l=\"y\",c=i,h=\"x\",f=n):(l=\"x\",c=n,h=\"y\",f=i);var 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i=t[0].trace,o=\"h\"===i.orientation,s=\"waterfall\"===i.type,l=\"funnel\"===i.type;function c(t){return u(o?r:n,+t,!0).text}var h,f,p=i.textinfo,d=t[e],m=p.split(\"+\"),g=[],y=function(t){return-1!==m.indexOf(t)};if(y(\"label\")&&g.push((f=t[e].p,u(o?n:r,f,!0).text)),y(\"text\")&&(0===(h=a.castOption(i,d.i,\"text\"))||h)&&g.push(h),s){var v=+d.rawS||d.s,x=d.v,_=x-v;y(\"initial\")&&g.push(c(_)),y(\"delta\")&&g.push(c(v)),y(\"final\")&&g.push(c(x))}if(l){y(\"value\")&&g.push(c(d.s));var b=0;y(\"percent initial\")&&b++,y(\"percent previous\")&&b++,y(\"percent total\")&&b++;var w=b>1;y(\"percent initial\")&&(h=a.formatPercent(d.begR),w&&(h+=\" of initial\"),g.push(h)),y(\"percent previous\")&&(h=a.formatPercent(d.difR),w&&(h+=\" of previous\"),g.push(h)),y(\"percent total\")&&(h=a.formatPercent(d.sumR),w&&(h+=\" of total\"),g.push(h))}return g.join(\"<br>\")}(e,r,n,i):m.getValue(s.text,r),m.coerceString(v,o)}(z,n,i,S,P);k=function(t,e){var r=m.getValue(t.textposition,e);return m.coerceEnumerated(x,r)}(D,i);var B=\"stack\"===w.mode||\"relative\"===w.mode,N=n[i],j=!B||N._outmost,U=N.hasB,V=g&&g-y>b;if(F&&\"none\"!==k&&(!N.isBlank&&s!==c&&h!==p||\"auto\"!==k&&\"inside\"!==k)){var q=z.font,H=d.getBarColor(n[i],D),G=d.getInsideTextFont(D,i,q,H),Z=d.getOutsideTextFont(D,i,q),W=D.insidetextanchor||\"end\",Y=r.datum();R?\"log\"===S.type&&Y.s0<=0&&(s=S.range[0]<S.range[1]?0:S._length):\"log\"===P.type&&Y.s0<=0&&(h=P.range[0]<P.range[1]?P._length:0);var X,$,J,K,Q,tt=Math.abs(c-s),et=Math.abs(p-h),rt=tt-2*b,nt=et-2*b;if(\"outside\"===k&&(j||N.hasB||(k=\"inside\")),\"auto\"===k)if(j){k=\"inside\",X=O(r,F,Q=a.ensureUniformFontSize(t,G)),J=($=l.bBox(X.node())).width,K=$.height;var it,at=J>0&&K>0;it=V?U?E(rt-2*g,nt,J,K,R)||E(rt,nt-2*g,J,K,R):R?E(rt-(g-y),nt,J,K,R)||E(rt,nt-2*(g-y),J,K,R):E(rt,nt-(g-y),J,K,R)||E(rt-2*(g-y),nt,J,K,R):E(rt,nt,J,K,R),at&&it?k=\"inside\":(k=\"outside\",X.remove(),X=null)}else k=\"inside\";if(!X){var ot=(X=O(r,F,Q=a.ensureUniformFontSize(t,\"outside\"===k?Z:G))).attr(\"transform\");if(X.attr(\"transform\",\"\"),J=($=l.bBox(X.node())).width,K=$.height,X.attr(\"transform\",ot),J<=0||K<=0)return void X.remove()}var st,lt=D.textangle;st=\"outside\"===k?function(t,e,r,n,i,a){var o,s=!!a.isHorizontal,l=!!a.constrained,c=a.angle||0,u=i.width,h=i.height,f=Math.abs(e-t),p=Math.abs(n-r);o=s?p>2*b?b:0:f>2*b?b:0;var d=1;l&&(d=s?Math.min(1,p/h):Math.min(1,f/u));var m=C(c),g=L(i,m),y=(s?g.x:g.y)/2,v=(i.left+i.right)/2,x=(i.top+i.bottom)/2,_=(t+e)/2,w=(r+n)/2,T=0,k=0,M=s?A(e,t):A(r,n);return s?(_=e-M*o,T=M*y):(w=n+M*o,k=-M*y),{textX:v,textY:x,targetX:_,targetY:w,anchorX:T,anchorY:k,scale:d,rotate:m}}(s,c,h,p,$,{isHorizontal:R,constrained:\"both\"===D.constraintext||\"outside\"===D.constraintext,angle:lt}):I(s,c,h,p,$,{isHorizontal:R,constrained:\"both\"===D.constraintext||\"inside\"===D.constraintext,angle:lt,anchor:W,hasB:U,r:g,overhead:y}),st.fontSize=Q.size,f(\"histogram\"===D.type?\"bar\":D.type,st,z),N.transform=st;var ct=M(X,z,w,T);a.setTransormAndDisplay(ct,st)}else r.select(\"text\").remove()}(t,e,R,r,T,H,G,Z,W,rt,it,g,y),e.layerClipId&&l.hideOutsideRangePoint(c,R.select(\"text\"),w,P,h.xcalendar,h.ycalendar)}));var Z=!1===h.cliponaxis;l.setClipUrl(c,Z?null:e.layerClipId,t)}));c.getComponentMethod(\"errorbars\",\"plot\")(t,D,e,g)},toMoveInsideBar:I}},88384:function(t){\"use strict\";function e(t,e,r,n,i){var a=e.c2p(n?t.s0:t.p0,!0),o=e.c2p(n?t.s1:t.p1,!0),s=r.c2p(n?t.p0:t.s0,!0),l=r.c2p(n?t.p1:t.s1,!0);return i?[(a+o)/2,(s+l)/2]:n?[o,(s+l)/2]:[(a+o)/2,l]}t.exports=function(t,r){var n,i=t.cd,a=t.xaxis,o=t.yaxis,s=i[0].trace,l=\"funnel\"===s.type,c=\"h\"===s.orientation,u=[];if(!1===r)for(n=0;n<i.length;n++)i[n].selected=0;else for(n=0;n<i.length;n++){var h=i[n],f=\"ct\"in h?h.ct:e(h,a,o,c,l);r.contains(f,!1,n,t)?(u.push({pointNumber:n,x:a.c2d(h.x),y:o.c2d(h.y)}),h.selected=1):h.selected=0}return u}},2880:function(t,e,r){\"use strict\";t.exports=i;var n=r(34809).distinctVals;function i(t,e){this.traces=t,this.sepNegVal=e.sepNegVal,this.overlapNoMerge=e.overlapNoMerge;for(var r=1/0,i=e.posAxis._id.charAt(0),a=[],o=0;o<t.length;o++){for(var s=t[o],l=0;l<s.length;l++){var c=s[l],u=c.p;void 0===u&&(u=c[i]),void 0!==u&&a.push(u)}s[0]&&s[0].width1&&(r=Math.min(s[0].width1,r))}this.positions=a;var h=n(a);this.distinctPositions=h.vals,1===h.vals.length&&r!==1/0?this.minDiff=r:this.minDiff=Math.min(h.minDiff,r);var 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c(t,e,r){for(var n,o,l,c=t.cd,u=t.xa,h=t.ya,f=c[0].trace,p=u.c2p(e),d=h.c2p(r),m=a.quadrature((function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(u.c2p(t.x)-p)-e,1-3/e)}),(function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(h.c2p(t.y)-d)-e,1-3/e)})),g=!1,y=0;y<c.length;y++){o=c[y];for(var v=0;v<(o.pts||[]).length;v++){var x=m(l=o.pts[v]);x<=t.distance&&(t.distance=x,g=[y,v])}}if(!g)return!1;l=(o=c[g[0]]).pts[g[1]];var _=u.c2p(l.x,!0),b=h.c2p(l.y,!0),w=l.mrc||1;n=i.extendFlat({},t,{index:l.i,color:(f.marker||{}).color,name:f.name,x0:_-w,x1:_+w,y0:b-w,y1:b+w,spikeDistance:t.distance,hovertemplate:f.hovertemplate});var T,k=o.orig_p,A=void 0!==k?k:o.pos;return\"h\"===f.orientation?(T=h,n.xLabelVal=l.x,n.yLabelVal=A):(T=u,n.xLabelVal=A,n.yLabelVal=l.y),n[T._id.charAt(0)+\"Spike\"]=T.c2p(o.pos,!0),s(l,f,n),n}t.exports={hoverPoints:function(t,e,r,n){var i,a=t.cd[0].trace.hoveron,o=[];return-1!==a.indexOf(\"boxes\")&&(o=o.concat(l(t,e,r,n))),-1!==a.indexOf(\"points\")&&(i=c(t,e,r)),\"closest\"===n?i?[i]:o:i?(o.push(i),o):o},hoverOnBoxes:l,hoverOnPoints:c}},53794:function(t,e,r){\"use strict\";t.exports={attributes:r(64625),layoutAttributes:r(64636),supplyDefaults:r(62294).supplyDefaults,crossTraceDefaults:r(62294).crossTraceDefaults,supplyLayoutDefaults:r(65067).supplyLayoutDefaults,calc:r(89429),crossTraceCalc:r(81606).crossTraceCalc,plot:r(95419).plot,style:r(59979).style,styleOnSelect:r(59979).styleOnSelect,hoverPoints:r(11448).hoverPoints,eventData:r(76429),selectPoints:r(72488),moduleType:\"trace\",name:\"box\",basePlotModule:r(37703),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"boxLayout\",\"zoomScale\"],meta:{}}},64636:function(t){\"use 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_=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?i.identity:[]);_.enter().append(\"path\").style(\"vector-effect\",o?\"none\":\"non-scaling-stroke\").attr(\"class\",\"box\"),_.exit().remove(),_.each((function(t){if(t.empty)return n.select(this).attr(\"d\",\"M0,0Z\");var e=h.c2l(t.pos+p,!0),a=h.l2p(e-s)+m,o=h.l2p(e+l)+m,_=f?(a+o)/2:h.l2p(e)+m,b=r.whiskerwidth,w=f?a*b+(1-b)*_:h.l2p(e-d)+m,T=f?o*b+(1-b)*_:h.l2p(e+d)+m,k=h.l2p(e-s*x)+m,A=h.l2p(e+l*x)+m,M=\"sd\"===r.sizemode,S=u.c2p(M?t.mean-t.sd:t.q1,!0),E=M?u.c2p(t.mean+t.sd,!0):u.c2p(t.q3,!0),C=i.constrain(M?u.c2p(t.mean,!0):u.c2p(t.med,!0),Math.min(S,E)+1,Math.max(S,E)-1),L=void 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n=r(34809).isArray1D;t.exports=function(t,e,r){var i=r(\"x\"),a=i&&i.length,o=r(\"y\"),s=o&&o.length;if(!a&&!s)return!1;if(e._cheater=!i,a&&!n(i)||s&&!n(o))e._length=null;else{var l=a?i.length:1/0;s&&(l=Math.min(l,o.length)),e.a&&e.a.length&&(l=Math.min(l,e.a.length)),e.b&&e.b.length&&(l=Math.min(l,e.b.length)),e._length=l}return!0}},92802:function(t,e,r){\"use strict\";var n=r(3208).rb,i=r(6893),a=r(87163),o=r(9829),s=r(10229).defaultLine,l=r(93049).extendFlat,c=i.marker.line;t.exports=l({locations:{valType:\"data_array\",editType:\"calc\"},locationmode:i.locationmode,z:{valType:\"data_array\",editType:\"calc\"},geojson:l({},i.geojson,{}),featureidkey:i.featureidkey,text:l({},i.text,{}),hovertext:l({},i.hovertext,{}),marker:{line:{color:l({},c.color,{dflt:s}),width:l({},c.width,{dflt:1}),editType:\"calc\"},opacity:{valType:\"number\",arrayOk:!0,min:0,max:1,dflt:1,editType:\"style\"},editType:\"calc\"},selected:{marker:{opacity:i.selected.marker.opacity,editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:i.unselected.marker.opacity,editType:\"plot\"},editType:\"plot\"},hoverinfo:l({},o.hoverinfo,{editType:\"calc\",flags:[\"location\",\"z\",\"text\",\"name\"]}),hovertemplate:n(),showlegend:l({},o.showlegend,{dflt:!1})},a(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},12702:function(t,e,r){\"use strict\";var 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t.x0=t.x1=t.xa.c2p(o.ct),t.y0=t.y1=t.ya.c2p(o.ct),t.index=o.index,t.location=o.loc,t.z=o.z,t.zLabel=n.tickText(f.mockAxis,f.mockAxis.c2l(o.z),\"hover\").text,t.hovertemplate=o.hovertemplate,function(t,e,r){if(!e.hovertemplate){var n=r.hi||e.hoverinfo,o=String(r.loc),s=\"all\"===n?i.hoverinfo.flags:n.split(\"+\"),l=-1!==s.indexOf(\"name\"),c=-1!==s.indexOf(\"location\"),u=-1!==s.indexOf(\"z\"),h=-1!==s.indexOf(\"text\"),f=[];!l&&c?t.nameOverride=o:(l&&(t.nameOverride=e.name),c&&f.push(o)),u&&f.push(t.zLabel),h&&a(r,e,f),t.extraText=f.join(\"<br>\")}}(t,h,o),[t]}},58075:function(t,e,r){\"use 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d.geojson=null}if(\"geojson\"===n.fitbounds&&\"geojson-id\"===l){var y=a.computeBbox(a.getTraceGeojson(r));h=[y[0],y[2]],f=[y[1],y[3]]}var v={padded:!0};r._extremes.lon=s(n.lonaxis._ax,h,v),r._extremes.lat=s(n.lataxis._ax,f,v)},plot:function(t,e,r){var a=e.layers.backplot.select(\".choroplethlayer\");i.makeTraceGroups(a,r,\"trace choropleth\").each((function(e){var r=n.select(this).selectAll(\"path.choroplethlocation\").data(i.identity);r.enter().append(\"path\").classed(\"choroplethlocation\",!0),r.exit().remove(),l(t,e)}))}}},43727:function(t){\"use strict\";t.exports=function(t,e){var r,n,i,a,o,s=t.cd,l=t.xaxis,c=t.yaxis,u=[];if(!1===e)for(r=0;r<s.length;r++)s[r].selected=0;else for(r=0;r<s.length;r++)(i=(n=s[r]).ct)&&(a=l.c2p(i),o=c.c2p(i),e.contains([a,o],null,r,t)?(u.push({pointNumber:r,lon:i[0],lat:i[1]}),n.selected=1):n.selected=0);return u}},59342:function(t,e,r){\"use strict\";var n=r(45568),i=r(78766),a=r(62203),o=r(88856);function s(t,e){var 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n=r(92802),i=r(87163),a=r(3208).rb,o=r(9829),s=r(93049).extendFlat;t.exports=s({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:s({},n.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:n.text,hovertext:n.hovertext,marker:{line:{color:s({},n.marker.line.color,{editType:\"plot\"}),width:s({},n.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:s({},n.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:s({},n.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:s({},n.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:n.hoverinfo,hovertemplate:a({},{keys:[\"properties\"]}),showlegend:s({},o.showlegend,{dflt:!1})},i(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},40980:function(t,e,r){\"use strict\";var n=r(10721),i=r(34809),a=r(88856),o=r(62203),s=r(39532).makeBlank,l=r(3994);function c(t){var e,r=t[0].trace,n=r._opts;if(r.selectedpoints){for(var a=o.makeSelectedPointStyleFns(r),s=0;s<t.length;s++){var l=t[s];l.fOut&&(l.fOut.properties.mo2=a.selectedOpacityFn(l))}e={type:\"identity\",property:\"mo2\"}}else e=i.isArrayOrTypedArray(r.marker.opacity)?{type:\"identity\",property:\"mo\"}:r.marker.opacity;return i.extendFlat(n.fill.paint,{\"fill-opacity\":e}),i.extendFlat(n.line.paint,{\"line-opacity\":e}),n}t.exports={convert:function(t){var e=t[0].trace,r=!0===e.visible&&0!==e._length,o={layout:{visibility:\"none\"},paint:{}},u={layout:{visibility:\"none\"},paint:{}},h=e._opts={fill:o,line:u,geojson:s()};if(!r)return h;var f=l.extractTraceFeature(t);if(!f)return h;var p,d,m,g=a.makeColorScaleFuncFromTrace(e),y=e.marker,v=y.line||{};i.isArrayOrTypedArray(y.opacity)&&(p=function(t){var e=t.mo;return n(e)?+i.constrain(e,0,1):0}),i.isArrayOrTypedArray(v.color)&&(d=function(t){return t.mlc}),i.isArrayOrTypedArray(v.width)&&(m=function(t){return t.mlw});for(var x=0;x<t.length;x++){var _=t[x],b=_.fOut;if(b){var w=b.properties;w.fc=g(_.z),p&&(w.mo=p(_)),d&&(w.mlc=d(_)),m&&(w.mlw=m(_)),_.ct=w.ct,_._polygons=l.feature2polygons(b)}}var T=p?{type:\"identity\",property:\"mo\"}:y.opacity;return i.extendFlat(o.paint,{\"fill-color\":{type:\"identity\",property:\"fc\"},\"fill-opacity\":T}),i.extendFlat(u.paint,{\"line-color\":d?{type:\"identity\",property:\"mlc\"}:v.color,\"line-width\":m?{type:\"identity\",property:\"mlw\"}:v.width,\"line-opacity\":T}),o.layout.visibility=\"visible\",u.layout.visibility=\"visible\",h.geojson={type:\"FeatureCollection\",features:f},c(t),h},convertOnSelect:c}},94149:function(t,e,r){\"use strict\";var n=r(34809),i=r(39356),a=r(34770);t.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s(\"locations\"),c=s(\"z\"),u=s(\"geojson\");n.isArrayOrTypedArray(l)&&l.length&&n.isArrayOrTypedArray(c)&&c.length&&(\"string\"==typeof u&&\"\"!==u||n.isPlainObject(u))?(s(\"featureidkey\"),e._length=Math.min(l.length,c.length),s(\"below\"),s(\"text\"),s(\"hovertext\"),s(\"hovertemplate\"),s(\"marker.line.width\")&&s(\"marker.line.color\"),s(\"marker.opacity\"),i(t,e,o,s,{prefix:\"\",cLetter:\"z\"}),n.coerceSelectionMarkerOpacity(e,s)):e.visible=!1}},9419:function(t,e,r){\"use strict\";t.exports={attributes:r(34770),supplyDefaults:r(94149),colorbar:r(12431),calc:r(12702),plot:r(30316),hoverPoints:r(94125),eventData:r(38414),selectPoints:r(43727),styleOnSelect:function(t,e){e&&e[0].trace._glTrace.updateOnSelect(e)},getBelow:function(t,e){for(var r=e.getMapLayers(),n=r.length-2;n>=0;n--){var i=r[n].id;if(\"string\"==typeof i&&0===i.indexOf(\"water\"))for(var a=n+1;a<r.length;a++)if(\"string\"==typeof(i=r[a].id)&&-1===i.indexOf(\"plotly-\"))return i}},moduleType:\"trace\",name:\"choroplethmap\",basePlotModule:r(34091),categories:[\"map\",\"gl\",\"noOpacity\",\"showLegend\"],meta:{hr_name:\"choropleth_map\"}}},30316:function(t,e,r){\"use strict\";var n=r(40980).convert,i=r(40980).convertOnSelect,a=r(8814).traceLayerPrefix;function o(t,e){this.type=\"choroplethmap\",this.subplot=t,this.uid=e,this.sourceId=\"source-\"+e,this.layerList=[[\"fill\",a+e+\"-fill\"],[\"line\",a+e+\"-line\"]],this.below=null}var s=o.prototype;s.update=function(t){this._update(n(t)),t[0].trace._glTrace=this},s.updateOnSelect=function(t){this._update(i(t))},s._update=function(t){var e=this.subplot,r=this.layerList,n=e.belowLookup[\"trace-\"+this.uid];e.map.getSource(this.sourceId).setData(t.geojson),n!==this.below&&(this._removeLayers(),this._addLayers(t,n),this.below=n);for(var i=0;i<r.length;i++){var a=r[i],o=a[0],s=a[1],l=t[o];e.setOptions(s,\"setLayoutProperty\",l.layout),\"visible\"===l.layout.visibility&&e.setOptions(s,\"setPaintProperty\",l.paint)}},s._addLayers=function(t,e){for(var r=this.subplot,n=this.layerList,i=this.sourceId,a=0;a<n.length;a++){var o=n[a],s=o[0],l=t[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},e)}},s._removeLayers=function(){for(var t=this.subplot.map,e=this.layerList,r=e.length-1;r>=0;r--)t.removeLayer(e[r][1])},s.dispose=function(){var t=this.subplot.map;this._removeLayers(),t.removeSource(this.sourceId)},t.exports=function(t,e){var r=e[0].trace,i=new o(t,r.uid),a=i.sourceId,s=n(e),l=i.below=t.belowLookup[\"trace-\"+r.uid];return t.map.addSource(a,{type:\"geojson\",data:s.geojson}),i._addLayers(s,l),e[0].trace._glTrace=i,i}},86227:function(t,e,r){\"use strict\";var n=r(92802),i=r(87163),a=r(3208).rb,o=r(9829),s=r(93049).extendFlat;t.exports=s({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:s({},n.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:n.text,hovertext:n.hovertext,marker:{line:{color:s({},n.marker.line.color,{editType:\"plot\"}),width:s({},n.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:s({},n.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:s({},n.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:s({},n.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:n.hoverinfo,hovertemplate:a({},{keys:[\"properties\"]}),showlegend:s({},o.showlegend,{dflt:!1})},i(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},51335:function(t,e,r){\"use strict\";var n=r(10721),i=r(34809),a=r(88856),o=r(62203),s=r(39532).makeBlank,l=r(3994);function c(t){var e,r=t[0].trace,n=r._opts;if(r.selectedpoints){for(var a=o.makeSelectedPointStyleFns(r),s=0;s<t.length;s++){var l=t[s];l.fOut&&(l.fOut.properties.mo2=a.selectedOpacityFn(l))}e={type:\"identity\",property:\"mo2\"}}else e=i.isArrayOrTypedArray(r.marker.opacity)?{type:\"identity\",property:\"mo\"}:r.marker.opacity;return i.extendFlat(n.fill.paint,{\"fill-opacity\":e}),i.extendFlat(n.line.paint,{\"line-opacity\":e}),n}t.exports={convert:function(t){var e=t[0].trace,r=!0===e.visible&&0!==e._length,o={layout:{visibility:\"none\"},paint:{}},u={layout:{visibility:\"none\"},paint:{}},h=e._opts={fill:o,line:u,geojson:s()};if(!r)return h;var f=l.extractTraceFeature(t);if(!f)return h;var p,d,m,g=a.makeColorScaleFuncFromTrace(e),y=e.marker,v=y.line||{};i.isArrayOrTypedArray(y.opacity)&&(p=function(t){var e=t.mo;return n(e)?+i.constrain(e,0,1):0}),i.isArrayOrTypedArray(v.color)&&(d=function(t){return t.mlc}),i.isArrayOrTypedArray(v.width)&&(m=function(t){return t.mlw});for(var x=0;x<t.length;x++){var _=t[x],b=_.fOut;if(b){var w=b.properties;w.fc=g(_.z),p&&(w.mo=p(_)),d&&(w.mlc=d(_)),m&&(w.mlw=m(_)),_.ct=w.ct,_._polygons=l.feature2polygons(b)}}var T=p?{type:\"identity\",property:\"mo\"}:y.opacity;return i.extendFlat(o.paint,{\"fill-color\":{type:\"identity\",property:\"fc\"},\"fill-opacity\":T}),i.extendFlat(u.paint,{\"line-color\":d?{type:\"identity\",property:\"mlc\"}:v.color,\"line-width\":m?{type:\"identity\",property:\"mlw\"}:v.width,\"line-opacity\":T}),o.layout.visibility=\"visible\",u.layout.visibility=\"visible\",h.geojson={type:\"FeatureCollection\",features:f},c(t),h},convertOnSelect:c}},8244:function(t,e,r){\"use strict\";var n=r(34809),i=r(39356),a=r(86227);t.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s(\"locations\"),c=s(\"z\"),u=s(\"geojson\");n.isArrayOrTypedArray(l)&&l.length&&n.isArrayOrTypedArray(c)&&c.length&&(\"string\"==typeof 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k=[\"interpolate\",[\"linear\"],[\"get\",\"z\"],_.min,0,_.max,1];return i.extendFlat(c.heatmap.paint,{\"heatmap-weight\":d?k:1/(_.max-_.min),\"heatmap-color\":T,\"heatmap-radius\":m?{type:\"identity\",property:\"r\"}:e.radius,\"heatmap-opacity\":e.opacity}),c.geojson={type:\"FeatureCollection\",features:h},c.heatmap.layout.visibility=\"visible\",c}},1892:function(t,e,r){\"use strict\";var n=r(34809),i=r(39356),a=r(17347);t.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s(\"lon\")||[],c=s(\"lat\")||[],u=Math.min(l.length,c.length);u?(e._length=u,s(\"z\"),s(\"radius\"),s(\"below\"),s(\"text\"),s(\"hovertext\"),s(\"hovertemplate\"),i(t,e,o,s,{prefix:\"\",cLetter:\"z\"})):e.visible=!1}},8919:function(t){\"use strict\";t.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t.z=e.z,t}},54478:function(t,e,r){\"use strict\";var n=r(29714),i=r(18016).hoverPoints,a=r(18016).getExtraText;t.exports=function(t,e,r){var o=i(t,e,r);if(o){var 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n,i=r(81481),a=r(36640).line,o=r(9829),s=r(80712).axisHoverFormat,l=r(3208).rb,c=r(3208).ay,u=r(87948),h=r(93049).extendFlat,f=r(78766);t.exports={x:i.x,x0:i.x0,dx:i.dx,y:i.y,y0:i.y0,dy:i.dy,xperiod:i.xperiod,yperiod:i.yperiod,xperiod0:i.xperiod0,yperiod0:i.yperiod0,xperiodalignment:i.xperiodalignment,yperiodalignment:i.yperiodalignment,xhoverformat:s(\"x\"),yhoverformat:s(\"y\"),hovertext:i.hovertext,hovertemplate:l({},{keys:u.eventDataKeys}),hoverinfo:h({},o.hoverinfo,{flags:[\"name\",\"x\",\"y\",\"text\",\"percent initial\",\"percent previous\",\"percent total\"]}),textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"percent initial\",\"percent previous\",\"percent 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n=r(29714),i=r(40528),a=r(43179),o=r(48861),s=r(63821).BADNUM;function l(t){return t===s?0:t}t.exports=function(t,e){var r,c,u,h,f,p,d,m,g=n.getFromId(t,e.xaxis||\"x\"),y=n.getFromId(t,e.yaxis||\"y\");\"h\"===e.orientation?(r=g.makeCalcdata(e,\"x\"),u=y.makeCalcdata(e,\"y\"),h=i(e,y,\"y\",u),f=!!e.yperiodalignment,p=\"y\"):(r=y.makeCalcdata(e,\"y\"),u=g.makeCalcdata(e,\"x\"),h=i(e,g,\"x\",u),f=!!e.xperiodalignment,p=\"x\"),c=h.vals;var v,x=Math.min(c.length,r.length),_=new Array(x);for(e._base=[],d=0;d<x;d++){r[d]<0&&(r[d]=s);var b=!1;r[d]!==s&&d+1<x&&r[d+1]!==s&&(b=!0),m=_[d]={p:c[d],s:r[d],cNext:b},e._base[d]=-.5*m.s,f&&(_[d].orig_p=u[d],_[d][p+\"End\"]=h.ends[d],_[d][p+\"Start\"]=h.starts[d]),e.ids&&(m.id=String(e.ids[d])),0===d&&(_[0].vTotal=0),_[0].vTotal+=l(m.s),m.begR=l(m.s)/l(_[0].s)}for(d=0;d<x;d++)(m=_[d]).s!==s&&(m.sumR=m.s/_[0].vTotal,m.difR=void 0!==v?m.s/v:1,v=m.s);return a(_,e),o(_,e),_}},87948:function(t){\"use 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P=h.selectAll(\"g.value-bullet\").data([u.gauge.bar]);P.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),P.select(\"rect\").attr(\"height\",M).attr(\"y\",(A-M)/2).call(T),w(_)?P.select(\"rect\").transition().duration(_.duration).ease(_.easing).each(\"end\",(function(){b&&b()})).each(\"interrupt\",(function(){b&&b()})).attr(\"width\",Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y)))):P.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y))):0),P.exit().remove();var z=r.filter((function(){return 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n=r(71293).wrap,i=r(65477).hasColorscale,a=r(28379),o=r(48965),s=r(62203),l=r(34809),c=r(10721);function u(t,e,r){t.valueInds.push(e),t.count+=r}function h(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function f(t,e,r){t.valueInds.push(e),t.count+=r}t.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,m,g=r.map((function(t){var e;if(\"trace\"===t.categoryorder)e=null;else if(\"array\"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!c(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),\"category descending\"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},i=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var a=0;a<t.length;a++){var o,s=t[a];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),i.push(o)}var l=e.map((function(t){return 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t.dimensions}),p);A.enter().append(\"g\").attr(\"class\",\"dimension\"),A.attr(\"transform\",(function(t){return l(t.x,0)})),A.exit().remove();var M=A.selectAll(\"g.category\").data((function(t){return t.categories}),p),S=M.enter().append(\"g\").attr(\"class\",\"category\");M.attr(\"transform\",(function(t){return l(0,t.y)})),S.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),M.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),T(S);var E=M.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p);E.each((function(){s.raiseToTop(this)})),E.attr(\"fill\",(function(t){return t.color}));var O=E.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);E.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(O),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\"),M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return 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0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){c.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",C).on(\"mouseout\",L),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",I).on(\"drag\",P).on(\"dragend\",z)),f.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),f.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function m(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function 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_=t.parcatsViewModel.x+i,b=t.parcatsViewModel.y+a,T=u.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),C=n.mouse(h)[0];o.loneHover({trace:f,x:_-d.left+m.left,y:b-d.top+m.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:C<_?\"right\":\"left\",hovertemplate:(f.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:f._input,fullData:f,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:h})}}}function y(t){if(!t.parcatsViewModel.dragDimension&&(b(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(m),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=v(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function v(t){for(var e=[],r=O(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function _(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=v(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function b(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return u.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,v(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,v(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),c=l.node().getBoundingClientRect(),u=l.datum(),h=u.parcatsViewModel,f=h.model.dimensions[u.model.dimensionInd],p=h.trace,d=c.top+c.height/2;h.dimensions.length>1&&f.displayInd===h.dimensions.length-1?(i=c.left,a=\"left\"):(i=c.left+c.width,a=\"right\");var m=u.model.count,g=u.model.categoryLabel,y=m/u.parcatsViewModel.model.count,v={countLabel:m,categoryLabel:g,probabilityLabel:y.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",v.countLabel].join(\" \")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+v.categoryLabel+\"):\",v.probabilityLabel].join(\" \"));var _=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:_,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", 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e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(c),M(c,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")&&(\"category\"===l?e=E(r,a,c):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),c=n.select(r).datum(),h=c.categoryViewModel,f=h.parcatsViewModel,p=f.model.dimensions[h.model.dimensionInd],d=f.trace,m=l.y+l.height/2;f.dimensions.length>1&&p.displayInd===f.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var g=h.model.categoryLabel,y=c.parcatsViewModel.model.count,v=0;c.categoryViewModel.bands.forEach((function(t){t.color===c.color&&(v+=t.count)}));var x=h.model.count,_=0;f.pathSelection.each((function(t){t.model.color===c.color&&(_+=t.model.count)}));var b=v/y,w=v/_,T=v/x,k={countLabel:v,categoryLabel:g,probabilityLabel:b.toFixed(3)},A=[];-1!==h.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==h.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color ∩ \"+g+\"): \"+k.probabilityLabel),A.push(\"P(\"+g+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+g+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=u.mostReadable(c.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(m-e.top),text:M,color:c.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:y,probability:b,categorycount:x,colorcount:_,bandcolorcount:v}]}}(r,a,c):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(E(t,e,this))})),i}(r,a,c)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r}))}}function L(t){var e=t.parcatsViewModel;e.dragDimension||(b(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(m),-1!==e.hoverinfoItems.indexOf(\"skip\"))||(\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event))}function I(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function P(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],h=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==h&&s+o.height>h.y+h.height/2&&(o.model.displayInd=h.model.displayInd,h.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var f=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==f&&a.model.dragX<f.x+f.width&&(a.model.displayInd=f.model.displayInd,f.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel)}}function z(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=O(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),h=c.map((function(t){return 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e,r;d(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var a=i.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p),o=a.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);a.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),h=Math.floor(c*(s.y[1]-s.y[0])),f=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var 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b=y.categoryInds[_],w=i[_][b],T=a[_];x[T]=n[T][w],n[T][w]+=g;var k=t.dimensions[T].categories[w],A=k.bands.length,M=k.bands[A-1];if(void 0===M||y.rawColor!==M.rawColor){var S=void 0===M?0:M.y+M.height;k.bands.push({key:S,color:y.color,rawColor:y.rawColor,height:g,width:k.width,count:y.count,y:S,categoryViewModel:k,parcatsViewModel:t})}else{var E=k.bands[A-1];E.height+=g,E.count+=y.count}}v=\"hspline\"===t.pathShape?B(s,x,l,g,.5):B(s,x,l,g,0),f[m]={key:y.valueInds[0],model:y,height:g,leftXs:s,topYs:x,dimWidths:l,svgD:v,parcatsViewModel:t}}t.paths=f}function j(t){var e=t.model.dimensions.map((function(t){return{displayInd:t.displayInd,dimensionInd:t.dimensionInd}}));e.sort((function(t,e){return t.displayInd-e.displayInd}));var r=[];for(var n in e){var i=e[n].dimensionInd,a=t.model.dimensions[i];r.push(U(t,a))}t.dimensions=r}function U(t,e){var r,n=t.model.dimensions.length,i=e.displayInd;r=40+(n>1?(t.width-80-16)/(n-1):0)*i;var 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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,v(),!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),_(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var c=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),c?_(t.parentNode,s):(s(),_(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(m).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 c=t.selectAll(\".highlight\").data(o);c.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\"),c.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]}}},79846:function(t,e,r){\"use strict\";t.exports={attributes:r(59549),supplyDefaults:r(12842),calc:r(20113),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:r(67207),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},67207:function(t,e,r){\"use strict\";var n=r(45568),i=r(4173).eV,a=r(58823),o=r(62972);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)}},20113:function(t,e,r){\"use strict\";var n=r(34809).isArrayOrTypedArray,i=r(88856),a=r(71293).wrap;t.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},77911:function(t){\"use strict\";t.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},12842:function(t,e,r){\"use 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s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(m)&&m.length||(e.visible=!1),f(e,m,\"values\",g);var y=n.extendFlat({},l.font,{size:Math.round(l.font.size/1.2)});n.coerceFont(u,\"labelfont\",y),n.coerceFont(u,\"tickfont\",y,{autoShadowDflt:!0}),n.coerceFont(u,\"rangefont\",y),u(\"labelangle\"),u(\"labelside\"),u(\"unselected.line.color\"),u(\"unselected.line.opacity\")}},62935:function(t,e,r){\"use strict\";var n=r(34809).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)}},83910:function(t,e,r){\"use strict\";var n=r(79846);n.plot=r(58823),t.exports=n},1293:function(t,e,r){\"use strict\";var n=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"attribute vec4 p01_04, p05_08, p09_12, p13_16,\",\"               p17_20, p21_24, p25_28, p29_32,\",\"               p33_36, p37_40, p41_44, p45_48,\",\"               p49_52, p53_56, p57_60, colors;\",\"\",\"uniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\",\"             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\",\"\",\"uniform vec2 resolution, viewBoxPos, viewBoxSize;\",\"uniform float maskHeight;\",\"uniform float drwLayer; // 0: context, 1: focus, 2: pick\",\"uniform vec4 contextColor;\",\"uniform sampler2D maskTexture, palette;\",\"\",\"bool isPick    = (drwLayer > 1.5);\",\"bool isContext = (drwLayer < 0.5);\",\"\",\"const vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\",\"const vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\",\"\",\"float val(mat4 p, mat4 v) {\",\"    return dot(matrixCompMult(p, v) * UNITS, UNITS);\",\"}\",\"\",\"float axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\",\"    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\",\"    return y1 * (1.0 - ratio) + y2 * ratio;\",\"}\",\"\",\"int iMod(int a, int b) {\",\"    return a - b * (a / b);\",\"}\",\"\",\"bool fOutside(float p, float lo, float hi) {\",\"    return (lo < hi) && (lo > p || p > hi);\",\"}\",\"\",\"bool vOutside(vec4 p, vec4 lo, vec4 hi) {\",\"    return (\",\"        fOutside(p[0], lo[0], hi[0]) ||\",\"        fOutside(p[1], lo[1], hi[1]) ||\",\"        fOutside(p[2], lo[2], hi[2]) ||\",\"        fOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool mOutside(mat4 p, mat4 lo, mat4 hi) {\",\"    return (\",\"        vOutside(p[0], lo[0], hi[0]) ||\",\"        vOutside(p[1], lo[1], hi[1]) ||\",\"        vOutside(p[2], lo[2], hi[2]) ||\",\"        vOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    return mOutside(A, loA, hiA) ||\",\"           mOutside(B, loB, hiB) ||\",\"           mOutside(C, loC, hiC) ||\",\"           mOutside(D, loD, hiD);\",\"}\",\"\",\"bool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    mat4 pnts[4];\",\"    pnts[0] = A;\",\"    pnts[1] = B;\",\"    pnts[2] = C;\",\"    pnts[3] = D;\",\"\",\"    for(int i = 0; i < 4; ++i) {\",\"        for(int j = 0; j < 4; ++j) {\",\"            for(int k = 0; k < 4; ++k) {\",\"                if(0 == iMod(\",\"                    int(255.0 * texture2D(maskTexture,\",\"                        vec2(\",\"                            (float(i * 2 + j / 2) + 0.5) / 8.0,\",\"                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\",\"                        ))[3]\",\"                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\",\"                    2\",\"                )) return true;\",\"            }\",\"        }\",\"    }\",\"    return false;\",\"}\",\"\",\"vec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float x = 0.5 * sign(v) + 0.5;\",\"    float y = axisY(x, A, B, C, D);\",\"    float z = 1.0 - abs(v);\",\"\",\"    z += isContext ? 0.0 : 2.0 * float(\",\"        outsideBoundingBox(A, B, C, D) ||\",\"        outsideRasterMask(A, B, C, D)\",\"    );\",\"\",\"    return vec4(\",\"        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\",\"        z,\",\"        1.0\",\"    );\",\"}\",\"\",\"void main() {\",\"    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\",\"    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\",\"    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\",\"    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\",\"\",\"    float v = colors[3];\",\"\",\"    gl_Position = position(isContext, v, A, B, C, D);\",\"\",\"    fragColor =\",\"        isContext ? vec4(contextColor) :\",\"        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\",\"}\"].join(\"\\n\"),i=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"void main() {\",\"    gl_FragColor = fragColor;\",\"}\"].join(\"\\n\"),a=r(77911).maxDimensionCount,o=r(34809),s=1e-6,l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function h(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function f(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],h(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function m(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var 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left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:i({name:\"pie\",trace:!0,editType:\"calc\"}),hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},sort:{valType:\"boolean\",dflt:!0,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"angle\",dflt:0,editType:\"calc\"},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0,editType:\"calc\"},_deprecated:{title:{valType:\"string\",dflt:\"\",editType:\"calc\"},titlefont:c({},h,{}),titleposition:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"calc\"}}}},96052:function(t,e,r){\"use strict\";var n=r(44122);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)}},44148:function(t,e,r){\"use strict\";var n=r(10721),i=r(65657),a=r(78766),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}t.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],h=e.values,f=e._length,p=e._hasValues&&f;if(e.dlabel)for(c=new Array(f),r=0;r<f;r++)c[r]=String(e.label0+r*e.dlabel);var d={},m=s(o[\"_\"+e.type+\"colormap\"]),g=0,y=!1;for(r=0;r<f;r++){var v,x,_;if(p){if(v=h[r],!n(v))continue;v=+v}else v=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var b=d[x=String(x)];void 0===b?(d[x]=a.length,(_=-1!==l.indexOf(x))||(g+=v),a.push({v:v,label:x,color:m(u[r],x),i:r,pts:[r],hidden:_})):(y=!0,(i=a[b]).v+=v,i.pts.push(r),i.hidden||(g+=v),!1===i.color&&u[r]&&(i.color=m(u[r],x)))}return a=a.filter((function(t){return t.v>=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 c=0,u=0;u<i.length;u++){var h=i[u];if(h[0].trace.type===r)for(var f=0;f<h.length;f++){var p=h[f];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},46979:function(t,e,r){\"use strict\";var n=r(10721),i=r(34809),a=r(55412),o=r(13792).N,s=r(17550).handleText,l=r(34809).coercePattern;function c(t,e){var r=i.isArrayOrTypedArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function u(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:c,handleMarkerDefaults:u,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var h=c(l(\"labels\"),l(\"values\")),f=h.len;if(e._hasLabels=h.hasLabels,e._hasValues=h.hasValues,!e._hasLabels&&e._hasValues&&(l(\"label0\"),l(\"dlabel\")),f){e._length=f,u(t,e,n,l,!0),l(\"scalegroup\");var p,d=l(\"text\"),m=l(\"texttemplate\");if(m||(p=l(\"textinfo\",i.isArrayOrTypedArray(d)?\"text+percent\":\"percent\")),l(\"hovertext\"),l(\"hovertemplate\"),m||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\")}else\"none\"===p&&l(\"textposition\",\"none\");o(e,n,l);var y=l(\"hole\");if(l(\"title.text\")){var v=l(\"title.position\",y?\"middle center\":\"top center\");y||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(l,\"title.font\",n.font)}l(\"sort\"),l(\"direction\"),l(\"rotation\"),l(\"pull\")}else e.visible=!1}}},50568:function(t,e,r){\"use strict\";var n=r(36040).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}},75067:function(t,e,r){\"use strict\";var n=r(62203),i=r(78766);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)}},37252:function(t,e,r){\"use strict\";var n=r(34809);function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(n.isArrayOrTypedArray(t))for(var r=0;r<e.length;r++){var i=t[e[r]];if(i||0===i||\"\"===i)return i}},e.castOption=function(t,r){return n.isArrayOrTypedArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},49913:function(t,e,r){\"use strict\";t.exports={attributes:r(55412),supplyDefaults:r(46979).supplyDefaults,supplyLayoutDefaults:r(13464),layoutAttributes:r(4031),calc:r(44148).calc,crossTraceCalc:r(44148).crossTraceCalc,plot:r(35734).plot,style:r(140),styleOne:r(32891),moduleType:\"trace\",name:\"pie\",basePlotModule:r(96052),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},4031:function(t){\"use strict\";t.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},13464:function(t,e,r){\"use strict\";var n=r(34809),i=r(4031);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},35734:function(t,e,r){\"use strict\";var n=r(45568),i=r(44122),a=r(32141),o=r(78766),s=r(62203),l=r(34809),c=l.strScale,u=l.strTranslate,h=r(30635),f=r(84102),p=f.recordMinTextSize,d=f.clearMinTextSize,m=r(56155).TEXTPAD,g=r(37252),y=r(50568),v=r(34809).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,c=i.trace,u=\"funnelarea\"===c.type;\"_hasHoverLabel\"in c||(c._hasHoverLabel=!1),\"_hasHoverEvent\"in c||(c._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,h=e._fullData[c.index];if(!e._dragging&&!1!==r.hovermode){var f=h.hoverinfo;if(Array.isArray(f)&&(f=a.castHoverinfo({hoverinfo:[g.castOption(f,t.pts)],_module:c._module},r,0)),\"all\"===f&&(f=\"label+text+value+percent+name\"),h.hovertemplate||\"none\"!==f&&\"skip\"!==f&&f){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),m=s+t.pxmid[1]*(1-p),v=r.separators,x=[];if(f&&-1!==f.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(h.hovertext||h.text,t.pts),f&&-1!==f.indexOf(\"text\")){var _=t.text;l.isValidTextValue(_)&&x.push(_)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,v),f&&-1!==f.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,v),f&&-1!==f.indexOf(\"percent\")&&x.push(t.percentLabel);var b=h.hoverlabel,w=b.font,T=[];a.loneHover({trace:c,x0:d-p*i.r,x1:d+p*i.r,y:m,_x0:u?o+t.TL[0]:d-p*i.r,_x1:u?o+t.TR[0]:d+p*i.r,_y0:u?s+t.TL[1]:m-p*i.r,_y1:u?s+t.BL[1]:m+p*i.r,text:x.join(\"<br>\"),name:h.hovertemplate||-1!==f.indexOf(\"name\")?h.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(b.bgcolor,t.pts)||t.color,borderColor:g.castOption(b.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(b.namelength,t.pts),textAlign:g.castOption(b.align,t.pts),hovertemplate:g.castOption(h.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,h)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[y(t,h)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[y(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function _(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,s=g.castOption(t.insidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,l=g.castOption(t.insidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,c=g.castOption(t.insidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant,u=g.castOption(t.insidetextfont.textcase,e.pts)||g.castOption(t.textfont.textcase,e.pts)||r.textcase,h=g.castOption(t.insidetextfont.lineposition,e.pts)||g.castOption(t.textfont.lineposition,e.pts)||r.lineposition,f=g.castOption(t.insidetextfont.shadow,e.pts)||g.castOption(t.textfont.shadow,e.pts)||r.shadow;return{color:n||o.contrast(e.color),family:i,size:a,weight:s,style:l,variant:c,textcase:u,lineposition:h,shadow:f}}function b(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(h.convertToTspans,e),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,h=\"horizontal\"===u,f=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,m=[];if(!d){var g,y=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a=\"tan\"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,m.push(a)}};if(h||f){for(g=4;g>=-4;g-=2)y(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),\"tan\")}if(h||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||h){var v=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/v,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;m.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a)),(d||f)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a));for(var x=0,_=0,b=0;b<m.length;b++){var w=m[b].scale;if(_<w&&(_=w,x=b),!d&&_>=1)break}return m[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function C(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function L(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=P(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c=t.r/(void 0===(l=t.trace.aspectratio)?1:l),u=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(u+=c,o.x-=(1+i)*c,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?u*=2:-1!==a.title.position.indexOf(\"right\")&&(u+=c,o.x+=(1+i)*c,s.tx-=t.titleBox.width/2),r=u/t.titleBox.width,n=I(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function I(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function P(t){var e,r=t.pull;if(!r)return 0;if(l.isArrayOrTypedArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function z(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=I(i,e));var c=s/2,u=l/2;\"funnelarea\"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+P(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=I(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var c,u;i.aspectratio>1?u=(c=r.r)/i.aspectratio:c=(u=r.r)*i.aspectratio,l=(c*=(1+i.baseratio)/2)*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var h=o*r.vTotal;\"funnelarea\"===i.type&&(h/=(1+i.baseratio)/2,h/=i.aspectratio),r.r=Math.sqrt(h)}}}(t,r)}function O(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},h=u(\"label\"),f=u(\"text\"),p=u(\"value\"),d=u(\"percent\"),m=n.separators;if(s=h?[e.label]:[],f){var y=g.getFirstFilled(i.text,e.pts);v(y)&&s.push(y)}p&&s.push(g.formatPieValue(e.v,m)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,m)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var _=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),b=g.getFirstFilled(i.text,e.pts);(v(b)||\"\"===b)&&(_.text=b),e.text=l.texttemplateString(x,_,t._fullLayout._d3locale,_,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,f=a._size;d(\"pie\",a),b(e,t),z(e,f);var m=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),m=e[0],y=m.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=O(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=O(a,s),r.midangle=s,n=O(a,s+=l*r.v/2),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var b=[[[],[]],[[],[]]],T=!1;v.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,b[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var c=m.cx,u=m.cy,f=n.select(this),d=f.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),f.call(x,t,e),y.pull){var v=+g.castOption(y.pull,i.pts)||0;v>0&&(c+=v*i.pxmid[0],u+=v*i.pxmid[1])}i.cxFinal=c,i.cyFinal=u;var k=y.hole;if(i.v===m.vTotal){var A=\"M\"+(c+i.px0[0])+\",\"+(u+i.px0[1])+I(i.px0,i.pxmid,!0,1)+I(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(c+k*i.px0[0])+\",\"+(u+k*i.px0[1])+I(i.px0,i.pxmid,!1,k)+I(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=I(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(c+k*i.px1[0])+\",\"+(u+k*i.px1[1])+I(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+c+\",\"+u+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}D(t,i,m);var E=g.castOption(y.textposition,i.pts),L=f.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);L.enter().append(\"g\").classed(\"slicetext\",!0),L.exit().remove(),L.each((function(){var r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),f=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size,weight:g.castOption(t.outsidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,style:g.castOption(t.outsidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,variant:g.castOption(t.outsidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant,textcase:g.castOption(t.outsidetextfont.textcase,e.pts)||g.castOption(t.textfont.textcase,e.pts)||r.textcase,lineposition:g.castOption(t.outsidetextfont.lineposition,e.pts)||g.castOption(t.textfont.lineposition,e.pts)||r.lineposition,shadow:g.castOption(t.outsidetextfont.shadow,e.pts)||g.castOption(t.textfont.shadow,e.pts)||r.shadow}}(y,i,a.font):_(y,i,a.font));r.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,f).call(h.convertToTspans,t);var d,v=s.bBox(r.node());if(\"outside\"===E)d=C(v,i);else if(d=w(v,i,m),\"auto\"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=C(v=s.bBox(r.node()),i)}var b=d.textPosAngle,k=void 0===b?i.pxmid:O(m.r,b);if(d.targetX=c+k[0]*d.rCenter+(d.x||0),d.targetY=u+k[1]*d.rCenter+(d.y||0),R(d,v),d.outside){var A=d.targetY;i.yLabelMin=A-v.height/2,i.yLabelMid=A,i.yLabelMax=A+v.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=f.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function I(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*m.r+\",\"+n*m.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var k=n.select(this).selectAll(\"g.titletext\").data(y.title.text?[0]:[]);if(k.enter().append(\"g\").classed(\"titletext\",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,y.title.font).call(h.convertToTspans,t),e=\"middle center\"===y.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(m):L(m,f),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,c,u,h,f,p,d,m;function y(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function x(t,r){r||(r={});var i,u,h,p,d=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),m=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),x=d-m;if(x*c>0&&(t.labelExtraY=x),l.isArrayOrTypedArray(e.pull))for(u=0;u<f.length;u++)(h=f[u])===t||(g.castOption(e.pull,t.pts)||0)>=(g.castOption(e.pull,h.pts)||0)||((t.pxmid[1]-h.pxmid[1])*c>0?(x=h.cyFinal+o(h.px0[1],h.px1[1])-m-t.labelExtraY)*c>0&&(t.labelExtraY+=x):(y+t.labelExtraY-v)*c>0&&(i=3*s*Math.abs(u-f.indexOf(t)),(p=h.cxFinal+a(h.px0[0],h.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=p)))}for(n=0;n<2;n++)for(i=n?y:v,o=n?Math.max:Math.min,c=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(u=t[n][r]).sort(i),h=t[1-n][r],f=h.concat(u),d=[],p=0;p<u.length;p++)void 0!==u[p].yLabelMid&&d.push(u[p]);for(m=!1,p=0;n&&p<h.length;p++)if(void 0!==h[p].yLabelMid){m=h[p];break}for(p=0;p<d.length;p++){var _=p&&d[p-1];m&&!p&&(_=m),x(d[p],_)}}}(b,y),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,l.setTransormAndDisplay(i,t.transform);var a=t.cxFinal+t.pxmid[0],s=\"M\"+a+\",\"+(t.cyFinal+t.pxmid[1]),c=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var u=t.labelExtraX*t.pxmid[1]/t.pxmid[0],h=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(u)>Math.abs(h)?s+=\"l\"+h*t.pxmid[0]/t.pxmid[1]+\",\"+h+\"H\"+(a+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(h-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(v,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=f.w*(M.x[1]-M.x[0]),E=f.h*(M.y[1]-M.y[0]),I=(.5*S-m.r)/f.w,P=(.5*E-m.r)/f.h;i.autoMargin(t,\"pie.\"+y.uid+\".automargin\",{xl:M.x[0]-I,xr:M.x[1]+I,yb:M.y[0]-P,yt:M.y[1]+P,l:Math.max(m.cx-m.r-A.left,0),r:Math.max(A.right-(m.cx+m.r),0),b:Math.max(A.bottom-(m.cy+m.r),0),t:Math.max(m.cy-m.r-A.top,0),pad:5})}}))}));setTimeout((function(){m.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:_,positionTitleOutside:L,prerenderTitles:b,layoutAreas:z,attachFxHandlers:x,computeTransform:R}},140:function(t,e,r){\"use strict\";var n=r(45568),i=r(32891),a=r(84102).resizeText;t.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(e){var r=e[0].trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll(\"path.surface\").each((function(e){n.select(this).call(i,e,r,t)}))}))}},32891:function(t,e,r){\"use strict\";var n=r(78766),i=r(37252).castOption,a=r(75067);t.exports=function(t,e,r,o){var s=r.marker.line,l=i(s.color,e.pts)||n.defaultLine,c=i(s.width,e.pts)||0;t.call(a,e,r,o).style(\"stroke-width\",c).call(n.stroke,l)}},36961:function(t,e,r){\"use strict\";var n=r(36640);t.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},71593:function(t,e,r){\"use strict\";var n=r(99098).gl_pointcloud2d,i=r(34809).isArrayOrTypedArray,a=r(55010),o=r(32919).findExtremes,s=r(11539);function l(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var c=l.prototype;c.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:i(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},c.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=s(t,{})},c.updateFast=function(t){var e,r,n,i,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,h=this.pickXYData=t.xy,f=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(h){if(n=h,e=h.length>>>1,f)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)i=n[2*l],s=n[2*l+1],i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new Int32Array(e),l=0;l<e;l++)i=c[l],s=u[l],r[l]=l,n[2*l]=i,n[2*l+1]=s,i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var m=a(t.marker.color),g=a(t.marker.border.color),y=t.opacity*t.marker.opacity;m[3]*=y,this.pointcloudOptions.color=m;var v=t.marker.blend;null===v&&(v=c.length<100||u.length<100),this.pointcloudOptions.blend=v,g[3]*=y,this.pointcloudOptions.borderColor=g;var x=t.marker.sizemin,_=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=_,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var b=this.scene.xaxis,w=this.scene.yaxis,T=_/2||.5;t._extremes[b._id]=o(b,[d[0],d[2]],{ppad:T}),t._extremes[w._id]=o(w,[d[1],d[3]],{ppad:T})},c.dispose=function(){this.pointcloud.dispose()},t.exports=function(t,e){var r=new l(t,e.uid);return 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l=0;for(T=0;T<r.sourceLinks.length;T++)l+=r.sourceLinks[T].value;for(T=0;T<r.sourceLinks.length;T++)(e=r.sourceLinks[T]).concentrationOut=e.value/l;var u=0;for(T=0;T<r.targetLinks.length;T++)u+=r.targetLinks[T].value;for(T=0;T<r.targetLinks.length;T++)(e=r.targetLinks[T]).concenrationIn=e.value/u}}(),a.node.x.length&&a.node.y.length){for(w=0;w<Math.min(a.node.x.length,a.node.y.length,A.nodes.length);w++)if(a.node.x[w]&&a.node.y[w]){var L=[a.node.x[w]*g,a.node.y[w]*y];A.nodes[w].x0=L[0]-d/2,A.nodes[w].x1=L[0]+d/2;var I=A.nodes[w].y1-A.nodes[w].y0;A.nodes[w].y0=L[1]-I/2,A.nodes[w].y1=L[1]+I/2}\"snap\"===a.arrangement&&function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(w=0;w<n.length;w++){var s=t[n[w].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(x=A.nodes).forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),tinyColorHoverHue:u.tinyRGB(i),tinyColorHoverAlpha:i.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return\"top\"===t.circularLinkType?\"M \"+(n.targetX-e)+\" \"+(n.targetY+r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 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\"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY+r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\"}(t.link,e);var r=Math.abs((t.link.target.x0-t.link.source.x1)/2);e>r&&(e=r);var n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),c=t.link.y0-t.link.width/2,u=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,f=t.link.y1+t.link.width/2,p=\"M\"+n+\",\"+c,d=\"C\"+s+\",\"+c+\" \"+l+\",\"+h+\" \"+a+\",\"+h,m=\"C\"+l+\",\"+f+\" \"+s+\",\"+u+\" \"+n+\",\"+u,g=e>0?\"L\"+(a+e)+\",\"+(h+t.link.width/2):\"\";return p+d+(g+=\"L\"+a+\",\"+f)+m+\"Z\"}}function S(t,e){var r=c(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\"node_\"+e.pointNumber;return e.group&&(s=f.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:u.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function C(t){t.call(E)}function L(t,e){t.call(C),e.attr(\"d\",M())}function I(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function P(t){return t.link.width>1||t.linkLineWidth>0}function z(t){return p(t.translateX,t.translateY)+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function O(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function D(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(a){if(\"fixed\"!==a.arrangement&&(f.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),f.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force(\"collide\",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force(\"constrain\",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),L(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var 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a=(t.graph.nodes[i].x0+t.graph.nodes[i].x1)/2,o=(t.graph.nodes[i].y0+t.graph.nodes[i].y1)/2;r.push(a/t.figure.width),n.push(o/t.figure.height)}_.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}t.exports=function(t,e,r,n,i){var o=t._context.staticPlot,s=!1;f.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){s=!0}));var m=t._fullLayout._dragCover,_=r.filter((function(t){return v(t).trace.visible})).map(k.bind(null,n)),b=e.selectAll(\".\"+l.cn.sankey).data(_,g);b.exit().remove(),b.enter().append(\"g\").classed(l.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",o?\"none\":\"auto\").attr(\"transform\",z),b.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;f.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",o?\"none\":\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})})),b.transition().ease(l.ease).duration(l.duration).attr(\"transform\",z);var C=b.selectAll(\".\"+l.cn.sankeyLinks).data(y,g);C.enter().append(\"g\").classed(l.cn.sankeyLinks,!0).style(\"fill\",\"none\");var L=C.selectAll(\".\"+l.cn.sankeyLink).data((function(t){return t.graph.links.filter((function(t){return t.value})).map(A.bind(null,t))}),g);L.enter().append(\"path\").classed(l.cn.sankeyLink,!0).call(O,b,i.linkEvents),L.style(\"stroke\",(function(t){return P(t)?u.tinyRGB(c(t.linkLineColor)):t.tinyColorHue})).style(\"stroke-opacity\",(function(t){return P(t)?u.opacity(t.linkLineColor):t.tinyColorAlpha})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})).style(\"stroke-width\",(function(t){return P(t)?t.linkLineWidth:1})).attr(\"d\",M()),L.style(\"opacity\",(function(){return t._context.staticPlot||s||m?1:0})).transition().ease(l.ease).duration(l.duration).style(\"opacity\",1),L.exit().transition().ease(l.ease).duration(l.duration).style(\"opacity\",0).remove();var 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n=r(65477).hasColorscale,i=r(28379),a=r(64726);t.exports=function(t,e){a.hasLines(e)&&n(e,\"line\")&&i(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),a.hasMarkers(e)&&(n(e,\"marker\")&&i(t,e,{vals:e.marker.color,containerStr:\"marker\",cLetter:\"c\"}),n(e,\"marker.line\")&&i(t,e,{vals:e.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}))}},32660:function(t){\"use strict\";t.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},75603:function(t,e,r){\"use strict\";var n=r(26544),i=r(24782).setGroupPositions;function a(t,e,r,n,i,a,o){i[n]=!0;var s={i:null,gap:!0,s:0};if(s[o]=r,t.splice(e,0,s),e&&r===t[e-1][o]){var l=t[e-1];s.s=l.s,s.i=l.i,s.gap=l.gap}else a&&(s.s=function(t,e,r,n){var i=t[e-1],a=t[e+1];return a?i?i.s+(a.s-i.s)*(r-i[n])/(a[n]-i[n]):a.s:i.s}(t,e,r,o));e||(t[0].t=t[1].t,t[0].trace=t[1].trace,delete t[1].t,delete 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r.yLabel=c[1].toFixed(3),r}},59420:function(t,e,r){\"use strict\";var n=r(37255),i=r(34809).fillText;t.exports=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){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,h=c-u;return s.x0=Math.max(Math.min(s.x0,h),u),s.x1=Math.max(Math.min(s.x1,h),u),o}var f=s.cd[s.index];s.a=f.a,s.b=f.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,m=p._module.formatLabels(f,p);s.yLabel=m.yLabel,delete s.text;var g=[];if(!p.hovertemplate){var y=(f.hi||p.hoverinfo).split(\"+\");-1!==y.indexOf(\"all\")&&(y=[\"a\",\"b\",\"text\"]),-1!==y.indexOf(\"a\")&&v(d.aaxis,f.a),-1!==y.indexOf(\"b\")&&v(d.baxis,f.b),g.push(\"y: \"+s.yLabel),-1!==y.indexOf(\"text\")&&i(f,p,g),s.extraText=g.join(\"<br>\")}return o}function v(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,g.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}}},56534:function(t,e,r){\"use 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n=r(3208).rb,i=r(3208).ay,a=r(19326),o=r(36640),s=r(9829),l=r(87163),c=r(94850).T,u=r(93049).extendFlat,h=r(13582).overrideAll,f=o.marker,p=o.line,d=f.line;t.exports=h({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=x(t,i)}return n}function k(t,e,r){var n={capSize:2*e.width*r,lineWidth:e.thickness*r,color:e.color};return e.copy_ystyle&&(n=t.error_y),n}var A=m.SYMBOL_SDF_SIZE,M=m.SYMBOL_SIZE,S=m.SYMBOL_STROKE,E={},C=c.symbolFuncs[0](.05*M);function L(t,e){var r,n,a=t.mx;if(\"circle\"===a)return null;var o=c.symbolNumber(a),s=c.symbolFuncs[o%100],l=!!c.symbolNoDot[o%100],u=!!c.symbolNoFill[o%100],h=d.isDotSymbol(a);if(t.ma&&(a+=\"_\"+t.ma),E[a])return E[a];var f=c.getMarkerAngle(t,e);return r=h&&!l?s(1.1*M,f)+C:s(M,f),n=i(r,{w:A,h:A,viewBox:[-M,-M,M,M],stroke:u?S:-S}),E[a]=n,n||null}t.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=t._context.plotGlPixelRatio;if(!0!==e.visible)return n;if(f.hasText(e)&&(n.text=x(t,e),n.textSel=T(t,e,e.selected),n.textUnsel=T(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=b(0,e),n.markerSel=w(0,e,e.selected),n.markerUnsel=w(0,e,e.unselected),!e.unselected&&l(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=g*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(m.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=k(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=k(e,e.error_y,i)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:b,markerSelection:w,linePositions:function(t,e,r){var n,i,a=r.length,o=a/2;if(f.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if(\"hvh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if(\"vhv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if(\"vh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var c=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){c=!0;break}var u=c||n.length>m.TOO_MANY_POINTS||f.hasMarkers(e)?\"rect\":\"round\";if(c&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=u.getFromId(t,e.xaxis,\"x\"),c=u.getFromId(t,e.yaxis,\"y\"),h=r.length/2,f={};function p(t,i){var a=i._id.charAt(0),o=e[\"error_\"+a];if(o&&o.visible&&(\"linear\"===i.type||\"log\"===i.type)){for(var l=s(o),c={x:0,y:1}[a],u={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*h),d=1/0,m=-1/0,g=0,y=0;g<h;g++,y+=4){var v=t[g];if(n(v)){var x=r[2*g+c],_=l(v,g),b=_[0],w=_[1];if(n(b)&&n(w)){var T=v-b,k=v+w;p[y+u[0]]=x-i.c2l(T),p[y+u[1]]=i.c2l(k)-x,p[y+u[2]]=0,p[y+u[3]]=0,d=Math.min(d,v-b),m=Math.max(m,v+w)}}}f[a]={positions:r,errors:p,_bnds:[d,m]}}}return p(i,l),p(a,c),f},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,c=r.align,u=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var h=n.sizes?n.sizes[i]:n.size,p=l(s)?s[i].size:s.size,d=l(c)?c.length>1?c[i]:c[0]:c,m=l(u)?u.length>1?u[i]:u[0]:u,g=y[d],v=y[m],x=h?h/.8+1:0,_=-v*x-.5*v;o.offset[i]=[g*x/p,_/p]}}return o}}},86590:function(t,e,r){\"use strict\";var n=r(34809),i=r(33626),a=r(4075),o=r(92089),s=r(32660),l=r(64726),c=r(99867),u=r(99669),h=r(24272),f=r(98168),p=r(54114),d=r(663);t.exports=function(t,e,r,m){function g(r,i){return n.coerce(t,e,o,r,i)}var y=!!t.marker&&a.isOpenSymbol(t.marker.symbol),v=l.isBubble(t),x=c(t,e,m,g);if(x){u(t,e,m,g),g(\"xhoverformat\"),g(\"yhoverformat\");var _=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",_),l.hasMarkers(e)&&(h(t,e,r,m,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",y||v?1:0)),l.hasLines(e)&&(g(\"connectgaps\"),f(t,e,r,m,g),g(\"line.shape\")),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,m,g,{noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0}));var b=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,b||w||r,{axis:\"y\"}),T(t,e,b||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},85686:function(t,e,r){\"use strict\";var n=r(34809),i=r(78766),a=r(20438).DESELECTDIM;t.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,h=c.selectBatch[u],f=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},m=c.textUnselectedOptions[u]||{},g=n.extendFlat({},p);if(h.length||f.length){var y=d.color,v=m.color,x=p.color,_=n.isArrayOrTypedArray(x);for(g.color=new Array(s._length),e=0;e<h.length;e++)r=h[e],g.color[r]=y||(_?x[r]:x);for(e=0;e<f.length;e++){r=f[e];var b=_?x[r]:x;g.color[r]=v||(y?b:i.addOpacity(b,a))}}c.glText[u].update(g)}}},99185:function(t,e,r){\"use strict\";var n=r(15294);t.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},4075:function(t,e,r){\"use strict\";var n=r(29483);e.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},e.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},36544:function(t,e,r){\"use strict\";var n=r(33626),i=r(34809),a=r(11539);function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,h=t.index,f={pointNumber:h,x:e[h],y:r[h]};f.tx=i.isArrayOrTypedArray(o.text)?o.text[h]:o.text,f.htx=Array.isArray(o.hovertext)?o.hovertext[h]:o.hovertext,f.data=Array.isArray(o.customdata)?o.customdata[h]:o.customdata,f.tp=Array.isArray(o.textposition)?o.textposition[h]:o.textposition;var p=o.textfont;p&&(f.ts=i.isArrayOrTypedArray(p.size)?p.size[h]:p.size,f.tc=i.isArrayOrTypedArray(p.color)?p.color[h]:p.color,f.tf=Array.isArray(p.family)?p.family[h]:p.family,f.tw=Array.isArray(p.weight)?p.weight[h]:p.weight,f.ty=Array.isArray(p.style)?p.style[h]:p.style,f.tv=Array.isArray(p.variant)?p.variant[h]:p.variant);var d=o.marker;d&&(f.ms=i.isArrayOrTypedArray(d.size)?d.size[h]:d.size,f.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[h]:d.opacity,f.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[h]:d.symbol,f.ma=i.isArrayOrTypedArray(d.angle)?d.angle[h]:d.angle,f.mc=i.isArrayOrTypedArray(d.color)?d.color[h]:d.color);var m=d&&d.line;m&&(f.mlc=Array.isArray(m.color)?m.color[h]:m.color,f.mlw=i.isArrayOrTypedArray(m.width)?m.width[h]:m.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(f.mgt=Array.isArray(g.type)?g.type[h]:g.type,f.mgc=Array.isArray(g.color)?g.color[h]:g.color);var y=s.c2p(f.x,!0),v=l.c2p(f.y,!0),x=f.mrc||1,_=o.hoverlabel;_&&(f.hbg=Array.isArray(_.bgcolor)?_.bgcolor[h]:_.bgcolor,f.hbc=Array.isArray(_.bordercolor)?_.bordercolor[h]:_.bordercolor,f.hts=i.isArrayOrTypedArray(_.font.size)?_.font.size[h]:_.font.size,f.htc=Array.isArray(_.font.color)?_.font.color[h]:_.font.color,f.htf=Array.isArray(_.font.family)?_.font.family[h]:_.font.family,f.hnl=i.isArrayOrTypedArray(_.namelength)?_.namelength[h]:_.namelength);var b=o.hoverinfo;b&&(f.hi=Array.isArray(b)?b[h]:b);var w=o.hovertemplate;w&&(f.ht=Array.isArray(w)?w[h]:w);var T={};T[t.index]=f;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,f),x0:y-x,x1:y+x,xLabelVal:k?k[h]:f.x,y0:v-x,y1:v+x,yLabelVal:A?A[h]:f.y,cd:T,distance:c,spikeDistance:u,hovertemplate:f.ht});return f.htx?M.text=f.htx:f.tx?M.text=f.tx:o.text&&(M.text=o.text),i.fillText(f,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(f,o,M),M}t.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,h,f,p,d,m=t.cd,g=m[0].t,y=m[0].trace,v=t.xa,x=t.ya,_=g.x,b=g.y,w=v.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=v.p2c(w-k),M=v.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var C=k;if(\"x\"===n){var L=!!y.xperiodalignment,I=!!y.yperiodalignment;for(u=0;u<i.length;u++){if(l=_[a=i[u]],h=Math.abs(v.c2p(l)-w),L){var P=v.c2p(y._xStarts[a]),z=v.c2p(y._xEnds[a]);h=w>=Math.min(P,z)&&w<=Math.max(P,z)?0:1/0}if(h<C){if(C=h,c=b[a],f=x.c2p(c)-T,I){var O=x.c2p(y._yStarts[a]),D=x.c2p(y._yEnds[a]);f=T>=Math.min(O,D)&&T<=Math.max(O,D)?0:1/0}d=Math.sqrt(h*h+f*f),s=i[u]}}}else for(u=i.length-1;u>-1;u--)l=_[a=i[u]],c=b[a],h=v.c2p(l)-w,f=x.c2p(c)-T,(p=Math.sqrt(h*h+f*f))<C&&(C=d=p,s=a);return t.index=s,t.distance=C,t.dxy=d,void 0===s?[t]:[o(t,_,b,y)]},calcHover:o}},52378:function(t,e,r){\"use strict\";var n=r(68258);n.plot=r(47731),t.exports=n},47731:function(t,e,r){\"use strict\";var n=r(62172),i=r(49478),a=r(29978),o=r(74024),s=r(34809),l=r(70414).selectMode,c=r(22459),u=r(64726),h=r(17210),f=r(85686).styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,c=i.r*n,u=i.t*n,h=i.w*n,f=i.h*n;return[s+e.domain[0]*h,l+r.domain[0]*f,a-c-(1-e.domain[1])*h,o-u-(1-r.domain[1])*f]}(t.exports=function(t,e,r){if(r.length){var m,g,y=t._fullLayout,v=e._scene,x=e.xaxis,_=e.yaxis;if(v)if(c(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],p)){var b=v.count,w=y._glcanvas.data()[0].regl;if(h(t,e,r),v.dirty){if(!v.line2d&&!v.error2d||v.scatter2d||v.fill2d||v.glText||w.clear({}),!0===v.error2d&&(v.error2d=a(w)),!0===v.line2d&&(v.line2d=i(w)),!0===v.scatter2d&&(v.scatter2d=n(w)),!0===v.fill2d&&(v.fill2d=i(w)),!0===v.glText)for(v.glText=new Array(b),m=0;m<b;m++)v.glText[m]=new o(w);if(v.glText){if(b>v.glText.length){var T=b-v.glText.length;for(m=0;m<T;m++)v.glText.push(new o(w))}else if(b<v.glText.length){var k=v.glText.length-b;v.glText.splice(b,k).forEach((function(t){t.destroy()}))}for(m=0;m<b;m++)v.glText[m].update(v.textOptions[m])}if(v.line2d&&(v.line2d.update(v.lineOptions),v.lineOptions=v.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),v.line2d.update(v.lineOptions)),v.error2d){var A=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(A)}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,b),v.fill2d&&(v.fillOptions=v.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.fillOrder[e]=u);var h,f,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(h=0;h<d.length&&isNaN(d[h+1]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f+1]);)f-=2;0!==d[h+1]&&(p=[d[h],0]),p=p.concat(d.slice(h,f+2)),0!==d[f+1]&&(p=p.concat([d[f],0]))}else if(\"tozerox\"===s.fill){for(h=0;h<d.length&&isNaN(d[h]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f]);)f-=2;0!==d[h]&&(p=[0,d[h+1]]),p=p.concat(d.slice(h,f+2)),0!==d[f]&&(p=p.concat([0,d[f+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],i=0,t.splitNull=!0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),p.push(null,null),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var m=s._nexttrace;if(m){var g=v.lineOptions[e+1];if(g){var y=g.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],_=y[2*e+1];isNaN(x)||isNaN(_)||p.push(x,_)}t.fill=m.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var b=v.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<b.length;a+=2)(isNaN(b[a])||isNaN(b[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(b),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),v.fill2d.update(v.fillOptions))}var M=y.dragmode,S=l(M),E=y.clickmode.indexOf(\"select\")>-1;for(m=0;m<b;m++){var C=r[m][0],L=C.trace,I=C.t,P=I.index,z=L._length,O=I.x,D=I.y;if(L.selectedpoints||S||E){if(S||(S=!0),L.selectedpoints){var R=v.selectBatch[P]=s.selIndices2selPoints(L),F={};for(g=0;g<R.length;g++)F[R[g]]=1;var B=[];for(g=0;g<z;g++)F[g]||B.push(g);v.unselectBatch[P]=B}var N=I.xpx=new Array(z),j=I.ypx=new Array(z);for(g=0;g<z;g++)N[g]=x.c2p(O[g]),j[g]=_.c2p(D[g])}else I.xpx=I.ypx=null}if(S){if(v.select2d||(v.select2d=n(y._glcanvas.data()[1].regl)),v.scatter2d){var U=new Array(b);for(m=0;m<b;m++)U[m]=v.selectBatch[m].length||v.unselectBatch[m].length?v.markerUnselectedOptions[m]:{};v.scatter2d.update(U)}v.select2d&&(v.select2d.update(v.markerOptions),v.select2d.update(v.markerSelectedOptions)),v.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&f(t)}))}else v.scatter2d&&v.scatter2d.update(v.markerOptions);var V={viewport:d(y,x,_,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(_._rl||_.range)[0],(x._rl||x.range)[1],(_._rl||_.range)[1]]},q=s.repeat(V,v.count);v.fill2d&&v.fill2d.update(q),v.line2d&&v.line2d.update(q),v.error2d&&v.error2d.update(q.concat(q)),v.scatter2d&&v.scatter2d.update(q),v.select2d&&v.select2d.update(q),v.glText&&v.glText.forEach((function(t){t.update(V)}))}else v.init()}}).reglPrecompiled=p},62336:function(t,e,r){\"use strict\";var n=r(34809);t.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,h=0;h<t;h++){if(e&&r.fillOrder[h]&&e.draw(r.fillOrder[h]),a&&r.lineOptions[h]&&a.draw(h),i&&(r.errorXOptions[h]&&i.draw(h),r.errorYOptions[h]&&i.draw(h+t)),o&&r.markerOptions[h])if(u[h].length){var f=n.repeat([],r.count);f[h]=u[h],o.draw(f)}else 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r,a=e[0].trace,h=!0===a.visible&&0!==a._length,w=\"none\"!==a.fill,T=u.hasLines(a),k=u.hasMarkers(a),A=u.hasText(a),M=k&&\"circle\"===a.marker.symbol,S=k&&\"circle\"!==a.marker.symbol,E=a.cluster&&a.cluster.enabled,C=g(\"fill\"),L=g(\"line\"),I=g(\"circle\"),P=g(\"symbol\"),z={fill:C,line:L,circle:I,symbol:P};if(!h)return z;if((w||T)&&(r=o.calcTraceToLineCoords(e)),w&&(C.geojson=o.makePolygon(r),C.layout.visibility=\"visible\",i.extendFlat(C.paint,{\"fill-color\":a.fillcolor})),T&&(L.geojson=o.makeLine(r),L.layout.visibility=\"visible\",i.extendFlat(L.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),M){var O=function(t){var e,r,a,o,u=t[0].trace,h=u.marker,f=u.selectedpoints,p=i.isArrayOrTypedArray(h.color),d=i.isArrayOrTypedArray(h.size),m=i.isArrayOrTypedArray(h.opacity);function g(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFuncFromTrace(h):i.identity),d&&(a=c(u)),m&&(o=function(t){return 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k=_[e].properties;y.selectedOpacityFn&&(k.mo=g(y.selectedOpacityFn(k))),y.selectedColorFn&&(k.mcc=y.selectedColorFn(k)),y.selectedSizeFn&&(k.mrc=y.selectedSizeFn(k))}return{geojson:{type:\"FeatureCollection\",features:_},mcc:p||y&&y.selectedColorFn?{type:\"identity\",property:\"mcc\"}:h.color,mrc:d||y&&y.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:(v=h.size,v/2),mo:m||y&&y.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:g(h.opacity)}}(e);I.geojson=O.geojson,I.layout.visibility=\"visible\",E&&(I.filter=[\"!\",[\"has\",\"point_count\"]],z.cluster={type:\"circle\",filter:[\"has\",\"point_count\"],layout:{visibility:\"visible\"},paint:{\"circle-color\":_(a.cluster.color,a.cluster.step),\"circle-radius\":_(a.cluster.size,a.cluster.step),\"circle-opacity\":_(a.cluster.opacity,a.cluster.step)}},z.clusterCount={type:\"symbol\",filter:[\"has\",\"point_count\"],paint:{},layout:{\"text-field\":\"{point_count_abbreviated}\",\"text-font\":b(a),\"text-size\":12}}),i.extendFlat(I.paint,{\"circle-color\":O.mcc,\"circle-radius\":O.mrc,\"circle-opacity\":O.mo})}if(M&&E&&(I.filter=[\"!\",[\"has\",\"point_count\"]]),(S||A)&&(P.geojson=function(t,e){for(var r=e._fullLayout,n=t[0].trace,a=n.marker||{},o=a.symbol,s=a.angle,l=\"circle\"!==o?y(o):v,c=\"auto\"!==s?y(s,!0):v,h=u.hasText(n)?y(n.text):v,f=[],g=0;g<t.length;g++){var _=t[g];if(!x(_.lonlat)){var b,w=n.texttemplate;if(w){var T=Array.isArray(w)?w[g]||\"\":w,k=n._module.formatLabels(_,n,r),A={};p(A,n,_.i);var M=n._meta||{};b=i.texttemplateString(T,k,r._d3locale,A,_,M)}else b=h(g);b&&(b=b.replace(d,\"\").replace(m,\"\\n\")),f.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:_.lonlat},properties:{symbol:l(g),angle:c(g),text:b}})}}return{type:\"FeatureCollection\",features:f}}(e,t),i.extendFlat(P.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),S&&(i.extendFlat(P.layout,{\"icon-size\":a.marker.size/10}),\"angle\"in a.marker&&\"auto\"!==a.marker.angle&&i.extendFlat(P.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),P.layout[\"icon-allow-overlap\"]=a.marker.allowoverlap,i.extendFlat(P.paint,{\"icon-opacity\":a.opacity*a.marker.opacity,\"icon-color\":a.marker.color})),A)){var D=(a.marker||{}).size,R=f(a.textposition,D);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":R.anchor,\"text-offset\":R.offset,\"text-font\":b(a)}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity})}return z}},57387:function(t,e,r){\"use strict\";var n=r(34809),i=r(64726),a=r(24272),o=r(98168),s=r(663),l=r(54114),c=r(71388),u=r(13624).isSupportedFont;t.exports=function(t,e,r,h){function f(r,i){return n.coerce(t,e,c,r,i)}function p(r,i){return n.coerce2(t,e,c,r,i)}var d=function(t,e,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return e._length=a,a}(0,e,f);if(d){if(f(\"text\"),f(\"texttemplate\"),f(\"hovertext\"),f(\"hovertemplate\"),f(\"mode\"),f(\"below\"),i.hasMarkers(e)){a(t,e,r,h,f,{noLine:!0,noAngle:!0}),f(\"marker.allowoverlap\"),f(\"marker.angle\");var m=e.marker;\"circle\"!==m.symbol&&(n.isArrayOrTypedArray(m.size)&&(m.size=m.size[0]),n.isArrayOrTypedArray(m.color)&&(m.color=m.color[0]))}i.hasLines(e)&&(o(t,e,r,h,f,{noDash:!0}),f(\"connectgaps\"));var g=p(\"cluster.maxzoom\"),y=p(\"cluster.step\"),v=p(\"cluster.color\",e.marker&&e.marker.color||r),x=p(\"cluster.size\"),_=p(\"cluster.opacity\");if(f(\"cluster.enabled\",!1!==g||!1!==y||!1!==v||!1!==x||!1!==_)||i.hasText(e)){var b=h.font.family;s(t,e,h,f,{noSelect:!0,noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0,font:{family:u(b)?b:\"Open Sans Regular\",weight:h.font.weight,style:h.font.style,size:h.font.size,color:h.font.color}})}f(\"fill\"),\"none\"!==e.fill&&l(t,e,r,f),n.coerceSelectionMarkerOpacity(e,f)}else e.visible=!1}},58240:function(t){\"use strict\";t.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t}},66762:function(t,e,r){\"use strict\";var n=r(29714);t.exports=function(t,e,r){var i={},a=r[e.subplot]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),!0).text,i.latLabel=n.tickText(a,a.c2l(o[1]),!0).text,i}},67275:function(t,e,r){\"use strict\";var n=r(32141),i=r(34809),a=r(11539),o=i.fillText,s=r(63821).BADNUM,l=r(8814).traceLayerPrefix;function c(t,e,r){if(!t.hovertemplate){var n=(e.hi||t.hoverinfo).split(\"+\"),i=-1!==n.indexOf(\"all\"),a=-1!==n.indexOf(\"lon\"),s=-1!==n.indexOf(\"lat\"),l=e.lonlat,c=[];return i||a&&s?c.push(\"(\"+u(l[1])+\", \"+u(l[0])+\")\"):a?c.push(r.lon+u(l[0])):s&&c.push(r.lat+u(l[1])),(i||-1!==n.indexOf(\"text\"))&&o(e,t,c),c.join(\"<br>\")}function u(t){return t+\"°\"}}t.exports={hoverPoints:function(t,e,r){var o=t.cd,u=o[0].trace,h=t.xa,f=t.ya,p=t.subplot,d=[],m=l+u.uid+\"-circle\",g=u.cluster&&u.cluster.enabled;if(g){var y=p.map.queryRenderedFeatures(null,{layers:[m]});d=y.map((function(t){return t.id}))}var v=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),x=e-v;if(n.getClosest(o,(function(t){var e=t.lonlat;if(e[0]===s)return 1/0;if(g&&-1===d.indexOf(t.i+1))return 1/0;var n=i.modHalf(e[0],360),a=e[1],o=p.project([n,a]),l=o.x-h.c2p([x,a]),c=o.y-f.c2p([n,r]),u=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+c*c)-u,1-3/u)}),t),!1!==t.index){var _=o[t.index],b=_.lonlat,w=[i.modHalf(b[0],360)+v,b[1]],T=h.c2p(w),k=f.c2p(w),A=_.mrc||1;t.x0=T-A,t.x1=T+A,t.y0=k-A,t.y1=k+A;var M={};M[u.subplot]={_subplot:p};var S=u._module.formatLabels(_,u,M);return t.lonLabel=S.lonLabel,t.latLabel=S.latLabel,t.color=a(u,_),t.extraText=c(u,_,o[0].t.labels),t.hovertemplate=u.hovertemplate,[t]}},getExtraText:c}},30929:function(t,e,r){\"use 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s(t,e,r,n){this.type=\"scattermap\",this.subplot=t,this.uid=e,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:\"source-\"+e+\"-fill\",line:\"source-\"+e+\"-line\",circle:\"source-\"+e+\"-circle\",symbol:\"source-\"+e+\"-symbol\",cluster:\"source-\"+e+\"-circle\",clusterCount:\"source-\"+e+\"-circle\"},this.layerIds={fill:a+e+\"-fill\",line:a+e+\"-line\",circle:a+e+\"-circle\",symbol:a+e+\"-symbol\",cluster:a+e+\"-cluster\",clusterCount:a+e+\"-cluster-count\"},this.below=null}var l=s.prototype;l.addSource=function(t,e,r){var i={type:\"geojson\",data:e.geojson};r&&r.enabled&&n.extendFlat(i,{cluster:!0,clusterMaxZoom:r.maxzoom});var a=this.subplot.map.getSource(this.sourceIds[t]);a?a.setData(e.geojson):this.subplot.map.addSource(this.sourceIds[t],i)},l.setSourceData=function(t,e){this.subplot.map.getSource(this.sourceIds[t]).setData(e.geojson)},l.addLayer=function(t,e,r){var 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<o.length;s++)if(o[s].id===a){i=!0;break}i?(this.subplot.setOptions(a,\"setLayoutProperty\",n.layout),\"visible\"===n.layout.visibility&&this.subplot.setOptions(a,\"setPaintProperty\",n.paint)):this.subplot.addLayer(n,r)},l.update=function(t){var e=t[0].trace,r=this.subplot,n=r.map,a=i(r.gd,t),s=r.belowLookup[\"trace-\"+this.uid],l=!(!e.cluster||!e.cluster.enabled),c=!!this.clusterEnabled,u=this;function h(t){c?function(t){for(var e=o.cluster,r=e.length-1;r>=0;r--){var i=e[r];n.removeLayer(u.layerIds[i])}t||n.removeSource(u.sourceIds.circle)}(t):function(t){for(var e=o.nonCluster,r=e.length-1;r>=0;r--){var i=e[r];n.removeLayer(u.layerIds[i]),t||n.removeSource(u.sourceIds[i])}}(t)}function f(t){l?function(t){t||u.addSource(\"circle\",a.circle,e.cluster);for(var r=o.cluster,n=0;n<r.length;n++){var 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n=r(3208).rb,i=r(3208).ay,a=r(19326),o=r(6893),s=r(36640),l=r(67514),c=r(9829),u=r(87163),h=r(93049).extendFlat,f=r(13582).overrideAll,p=r(67514),d=o.line,m=o.marker;t.exports=f({lon:o.lon,lat:o.lat,cluster:{enabled:{valType:\"boolean\"},maxzoom:h({},p.layers.maxzoom,{}),step:{valType:\"number\",arrayOk:!0,dflt:-1,min:-1},size:{valType:\"number\",arrayOk:!0,dflt:20,min:0},color:{valType:\"color\",arrayOk:!0},opacity:h({},m.opacity,{dflt:1})},mode:h({},s.mode,{dflt:\"markers\"}),text:h({},s.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:h({},s.hovertext,{}),line:{color:d.color,width:d.width},connectgaps:s.connectgaps,marker:h({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:m.opacity,size:m.size,sizeref:m.sizeref,sizemin:m.sizemin,sizemode:m.sizemode},u(\"marker\")),fill:o.fill,fillcolor:a(),textfont:l.layers.symbol.textfont,textposition:l.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:s.selected.marker},unselected:{marker:s.unselected.marker},hoverinfo:h({},c.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},2795:function(t){\"use strict\";var e=[\"Metropolis Black Italic\",\"Metropolis Black\",\"Metropolis Bold Italic\",\"Metropolis Bold\",\"Metropolis Extra Bold Italic\",\"Metropolis Extra Bold\",\"Metropolis Extra Light Italic\",\"Metropolis Extra Light\",\"Metropolis Light Italic\",\"Metropolis Light\",\"Metropolis Medium Italic\",\"Metropolis Medium\",\"Metropolis Regular Italic\",\"Metropolis Regular\",\"Metropolis Semi Bold Italic\",\"Metropolis Semi Bold\",\"Metropolis Thin Italic\",\"Metropolis Thin\",\"Open Sans Bold Italic\",\"Open Sans Bold\",\"Open Sans Extrabold Italic\",\"Open Sans Extrabold\",\"Open Sans Italic\",\"Open Sans Light Italic\",\"Open Sans Light\",\"Open Sans Regular\",\"Open Sans Semibold Italic\",\"Open Sans Semibold\",\"Klokantech Noto Sans Bold\",\"Klokantech Noto Sans CJK Bold\",\"Klokantech Noto Sans CJK Regular\",\"Klokantech Noto Sans Italic\",\"Klokantech Noto Sans Regular\"];t.exports={isSupportedFont:function(t){return-1!==e.indexOf(t)}}},27009:function(t,e,r){\"use 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r,a=e[0].trace,h=!0===a.visible&&0!==a._length,w=\"none\"!==a.fill,T=u.hasLines(a),k=u.hasMarkers(a),A=u.hasText(a),M=k&&\"circle\"===a.marker.symbol,S=k&&\"circle\"!==a.marker.symbol,E=a.cluster&&a.cluster.enabled,C=g(\"fill\"),L=g(\"line\"),I=g(\"circle\"),P=g(\"symbol\"),z={fill:C,line:L,circle:I,symbol:P};if(!h)return z;if((w||T)&&(r=o.calcTraceToLineCoords(e)),w&&(C.geojson=o.makePolygon(r),C.layout.visibility=\"visible\",i.extendFlat(C.paint,{\"fill-color\":a.fillcolor})),T&&(L.geojson=o.makeLine(r),L.layout.visibility=\"visible\",i.extendFlat(L.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),M){var O=function(t){var e,r,a,o,u=t[0].trace,h=u.marker,f=u.selectedpoints,p=i.isArrayOrTypedArray(h.color),d=i.isArrayOrTypedArray(h.size),m=i.isArrayOrTypedArray(h.opacity);function g(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFuncFromTrace(h):i.identity),d&&(a=c(u)),m&&(o=function(t){return g(n(t)?+i.constrain(t,0,1):0)});var y,v,_=[];for(e=0;e<t.length;e++){var b=t[e],w=b.lonlat;if(!x(w)){var T={};r&&(T.mcc=b.mcc=r(b.mc)),a&&(T.mrc=b.mrc=a(b.ms)),o&&(T.mo=o(b.mo)),f&&(T.selected=b.selected||0),_.push({type:\"Feature\",id:e+1,geometry:{type:\"Point\",coordinates:w},properties:T})}}if(f)for(y=l.makeSelectedPointStyleFns(u),e=0;e<_.length;e++){var k=_[e].properties;y.selectedOpacityFn&&(k.mo=g(y.selectedOpacityFn(k))),y.selectedColorFn&&(k.mcc=y.selectedColorFn(k)),y.selectedSizeFn&&(k.mrc=y.selectedSizeFn(k))}return{geojson:{type:\"FeatureCollection\",features:_},mcc:p||y&&y.selectedColorFn?{type:\"identity\",property:\"mcc\"}:h.color,mrc:d||y&&y.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:(v=h.size,v/2),mo:m||y&&y.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:g(h.opacity)}}(e);I.geojson=O.geojson,I.layout.visibility=\"visible\",E&&(I.filter=[\"!\",[\"has\",\"point_count\"]],z.cluster={type:\"circle\",filter:[\"has\",\"point_count\"],layout:{visibility:\"visible\"},paint:{\"circle-color\":_(a.cluster.color,a.cluster.step),\"circle-radius\":_(a.cluster.size,a.cluster.step),\"circle-opacity\":_(a.cluster.opacity,a.cluster.step)}},z.clusterCount={type:\"symbol\",filter:[\"has\",\"point_count\"],paint:{},layout:{\"text-field\":\"{point_count_abbreviated}\",\"text-font\":b(a),\"text-size\":12}}),i.extendFlat(I.paint,{\"circle-color\":O.mcc,\"circle-radius\":O.mrc,\"circle-opacity\":O.mo})}if(M&&E&&(I.filter=[\"!\",[\"has\",\"point_count\"]]),(S||A)&&(P.geojson=function(t,e){for(var r=e._fullLayout,n=t[0].trace,a=n.marker||{},o=a.symbol,s=a.angle,l=\"circle\"!==o?y(o):v,c=\"auto\"!==s?y(s,!0):v,h=u.hasText(n)?y(n.text):v,f=[],g=0;g<t.length;g++){var _=t[g];if(!x(_.lonlat)){var b,w=n.texttemplate;if(w){var T=Array.isArray(w)?w[g]||\"\":w,k=n._module.formatLabels(_,n,r),A={};p(A,n,_.i);var M=n._meta||{};b=i.texttemplateString(T,k,r._d3locale,A,_,M)}else b=h(g);b&&(b=b.replace(d,\"\").replace(m,\"\\n\")),f.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:_.lonlat},properties:{symbol:l(g),angle:c(g),text:b}})}}return{type:\"FeatureCollection\",features:f}}(e,t),i.extendFlat(P.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),S&&(i.extendFlat(P.layout,{\"icon-size\":a.marker.size/10}),\"angle\"in a.marker&&\"auto\"!==a.marker.angle&&i.extendFlat(P.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),P.layout[\"icon-allow-overlap\"]=a.marker.allowoverlap,i.extendFlat(P.paint,{\"icon-opacity\":a.opacity*a.marker.opacity,\"icon-color\":a.marker.color})),A)){var D=(a.marker||{}).size,R=f(a.textposition,D);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":R.anchor,\"text-offset\":R.offset,\"text-font\":b(a)}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity})}return z}},38302:function(t,e,r){\"use strict\";var n=r(34809),i=r(64726),a=r(24272),o=r(98168),s=r(663),l=r(54114),c=r(95833),u=r(2795).isSupportedFont;t.exports=function(t,e,r,h){function f(r,i){return n.coerce(t,e,c,r,i)}function p(r,i){return n.coerce2(t,e,c,r,i)}var d=function(t,e,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return e._length=a,a}(0,e,f);if(d){if(f(\"text\"),f(\"texttemplate\"),f(\"hovertext\"),f(\"hovertemplate\"),f(\"mode\"),f(\"below\"),i.hasMarkers(e)){a(t,e,r,h,f,{noLine:!0,noAngle:!0}),f(\"marker.allowoverlap\"),f(\"marker.angle\");var m=e.marker;\"circle\"!==m.symbol&&(n.isArrayOrTypedArray(m.size)&&(m.size=m.size[0]),n.isArrayOrTypedArray(m.color)&&(m.color=m.color[0]))}i.hasLines(e)&&(o(t,e,r,h,f,{noDash:!0}),f(\"connectgaps\"));var g=p(\"cluster.maxzoom\"),y=p(\"cluster.step\"),v=p(\"cluster.color\",e.marker&&e.marker.color||r),x=p(\"cluster.size\"),_=p(\"cluster.opacity\");if(f(\"cluster.enabled\",!1!==g||!1!==y||!1!==v||!1!==x||!1!==_)||i.hasText(e)){var b=h.font.family;s(t,e,h,f,{noSelect:!0,noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0,font:{family:u(b)?b:\"Open Sans Regular\",weight:h.font.weight,style:h.font.style,size:h.font.size,color:h.font.color}})}f(\"fill\"),\"none\"!==e.fill&&l(t,e,r,f),n.coerceSelectionMarkerOpacity(e,f)}else e.visible=!1}},68197:function(t){\"use strict\";t.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t}},69009:function(t,e,r){\"use strict\";var n=r(29714);t.exports=function(t,e,r){var i={},a=r[e.subplot]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),!0).text,i.latLabel=n.tickText(a,a.c2l(o[1]),!0).text,i}},18016:function(t,e,r){\"use strict\";var n=r(32141),i=r(34809),a=r(11539),o=i.fillText,s=r(63821).BADNUM,l=r(44245).traceLayerPrefix;function c(t,e,r){if(!t.hovertemplate){var n=(e.hi||t.hoverinfo).split(\"+\"),i=-1!==n.indexOf(\"all\"),a=-1!==n.indexOf(\"lon\"),s=-1!==n.indexOf(\"lat\"),l=e.lonlat,c=[];return i||a&&s?c.push(\"(\"+u(l[1])+\", \"+u(l[0])+\")\"):a?c.push(r.lon+u(l[0])):s&&c.push(r.lat+u(l[1])),(i||-1!==n.indexOf(\"text\"))&&o(e,t,c),c.join(\"<br>\")}function u(t){return t+\"°\"}}t.exports={hoverPoints:function(t,e,r){var o=t.cd,u=o[0].trace,h=t.xa,f=t.ya,p=t.subplot,d=[],m=l+u.uid+\"-circle\",g=u.cluster&&u.cluster.enabled;if(g){var y=p.map.queryRenderedFeatures(null,{layers:[m]});d=y.map((function(t){return t.id}))}var v=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),x=e-v;if(n.getClosest(o,(function(t){var e=t.lonlat;if(e[0]===s)return 1/0;if(g&&-1===d.indexOf(t.i+1))return 1/0;var n=i.modHalf(e[0],360),a=e[1],o=p.project([n,a]),l=o.x-h.c2p([x,a]),c=o.y-f.c2p([n,r]),u=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+c*c)-u,1-3/u)}),t),!1!==t.index){var _=o[t.index],b=_.lonlat,w=[i.modHalf(b[0],360)+v,b[1]],T=h.c2p(w),k=f.c2p(w),A=_.mrc||1;t.x0=T-A,t.x1=T+A,t.y0=k-A,t.y1=k+A;var M={};M[u.subplot]={_subplot:p};var S=u._module.formatLabels(_,u,M);return t.lonLabel=S.lonLabel,t.latLabel=S.latLabel,t.color=a(u,_),t.extraText=c(u,_,o[0].t.labels),t.hovertemplate=u.hovertemplate,[t]}},getExtraText:c}},83866:function(t,e,r){\"use strict\";[\"*scattermapbox* trace is deprecated!\",\"Please consider switching to the *scattermap* trace type and `map` subplots.\",\"Learn more at: https://plotly.com/javascript/maplibre-migration/\"].join(\" \"),t.exports={attributes:r(95833),supplyDefaults:r(38302),colorbar:r(21146),formatLabels:r(69009),calc:r(75649),plot:r(20691),hoverPoints:r(18016).hoverPoints,eventData:r(68197),selectPoints:r(60784),styleOnSelect:function(t,e){e&&e[0].trace._glTrace.update(e)},moduleType:\"trace\",name:\"scattermapbox\",basePlotModule:r(68192),categories:[\"mapbox\",\"gl\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}},20691:function(t,e,r){\"use strict\";var n=r(34809),i=r(27009),a=r(44245).traceLayerPrefix,o={cluster:[\"cluster\",\"clusterCount\",\"circle\"],nonCluster:[\"fill\",\"line\",\"circle\",\"symbol\"]};function s(t,e,r,n){this.type=\"scattermapbox\",this.subplot=t,this.uid=e,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:\"source-\"+e+\"-fill\",line:\"source-\"+e+\"-line\",circle:\"source-\"+e+\"-circle\",symbol:\"source-\"+e+\"-symbol\",cluster:\"source-\"+e+\"-circle\",clusterCount:\"source-\"+e+\"-circle\"},this.layerIds={fill:a+e+\"-fill\",line:a+e+\"-line\",circle:a+e+\"-circle\",symbol:a+e+\"-symbol\",cluster:a+e+\"-cluster\",clusterCount:a+e+\"-cluster-count\"},this.below=null}var l=s.prototype;l.addSource=function(t,e,r){var i={type:\"geojson\",data:e.geojson};r&&r.enabled&&n.extendFlat(i,{cluster:!0,clusterMaxZoom:r.maxzoom});var a=this.subplot.map.getSource(this.sourceIds[t]);a?a.setData(e.geojson):this.subplot.map.addSource(this.sourceIds[t],i)},l.setSourceData=function(t,e){this.subplot.map.getSource(this.sourceIds[t]).setData(e.geojson)},l.addLayer=function(t,e,r){var 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T=0;T<x.length;T++)e.contains([y[T],v[T]],null,T,t)?(p.push({pointNumber:T,x:x[T],y:_[T]}),i(b,T)):-1!==b.indexOf(T)?i(b,T):w.push(T);var k=c.matrixOptions;return b.length||w.length?c.selectBatch.length||c.unselectBatch.length||c.matrix.update(c.unselectedOptions,n.extendFlat({},k,c.selectedOptions,c.viewOpts)):c.matrix.update(k,null),c.selectBatch=b,c.unselectBatch=w,p}},14774:function(t,e,r){\"use strict\";var n=r(87163),i=r(80712).axisHoverFormat,a=r(3208).rb,o=r(42450),s=r(9829),l=r(93049).extendFlat,c={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},starts:{x:{valType:\"data_array\",editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"},maxdisplayed:{valType:\"integer\",min:0,dflt:1e3,editType:\"calc\"},sizeref:{valType:\"number\",editType:\"calc\",min:0,dflt:1},text:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(c,n(\"\",{colorAttr:\"u/v/w 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C=function(){v=0,M=[],S=[],E=[]};(!v||v<M.length*S.length*E.length)&&C();var L=function(t){return\"x\"===t?m:\"y\"===t?g:y},I=function(t){return\"x\"===t?M:\"y\"===t?S:E},P=function(t){return t[v-1]<t[0]?-1:1},z=L(A[1]),O=L(A[3]),D=L(A[5]),R=I(A[1]).length,F=I(A[3]).length,B=I(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=P(L(A[1])),V=P(L(A[3])),q=P(L(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var H=j(e,r,i),G=j(e,r,i+1),Z=j(e,r+1,i),W=j(e+1,r,i);if(z[H]*U<z[G]*U&&O[H]*V<O[Z]*V&&D[H]*q<D[W]*q||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! 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y=n[u];r.xMax=Math.max(r.xMax,y),r.xMin=Math.min(r.xMin,y);var v=o[u];r.yMax=Math.max(r.yMax,v),r.yMin=Math.min(r.yMin,v);var x=l[u];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=c,e._normMax=h,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},49280:function(t,e,r){\"use strict\";var n=r(99098).gl_streamtube3d,i=n.createTubeMesh,a=r(34809),o=r(46998).parseColorScale,s=r(88856).extractOpts,l=r(88239),c={xaxis:0,yaxis:1,zaxis:2};function u(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var h=u.prototype;function f(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,u=e._len,h={};function d(t,e){var n=r[e],o=i[c[e]];return a.simpleMap(t,(function(t){return 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P.lightPosition=[O.x,O.y,O.z],P.ambient=e.lighting.ambient,P.diffuse=e.lighting.diffuse,P.specular=e.lighting.specular,P.roughness=e.lighting.roughness,P.fresnel=e.lighting.fresnel,P.opacity=e.opacity,e._pad=P.tubeScale*e.sizeref*2,P}h.handlePick=function(t){var e=this.scene.fullSceneLayout,r=this.scene.dataScale;function n(t,n){var i=e[n],a=r[c[n]];return i.l2c(t)/a}if(t.object===this.mesh){var i=t.data.position,a=t.data.velocity;return t.traceCoordinate=[n(i[0],\"xaxis\"),n(i[1],\"yaxis\"),n(i[2],\"zaxis\"),n(a[0],\"xaxis\"),n(a[1],\"yaxis\"),n(a[2],\"zaxis\"),t.data.intensity*this.data._normMax,t.data.divergence],t.textLabel=this.data.hovertext||this.data.text,!0}},h.update=function(t){this.data=t;var e=d(this.scene,t);this.mesh.update(e)},h.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},t.exports=function(t,e){var r=t.glplot.gl,n=d(t,e),a=i(r,n),o=new u(t,e.uid);return o.mesh=a,o.data=e,a._trace=o,t.glplot.add(a),o}},52737:function(t,e,r){\"use 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n=r(9829),i=r(3208).rb,a=r(3208).ay,o=r(87163),s=r(13792).u,l=r(55412),c=r(2032),u=r(93049).extendFlat,h=r(94850).k;t.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:u({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:u({},l.marker.line.color,{dflt:null}),width:u({},l.marker.line.width,{dflt:1}),editType:\"calc\"},pattern:h,editType:\"calc\"},o(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:l.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current 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s,l=_.getPtId(t.parent);T.each((function(t){if(_.getPtId(t)===l)return s=t}));var c,u=s.children;u.forEach((function(t,e){if(_.getPtId(t)===r)return c=e}));var h=u.length,f=a(s.x0,s.x1);e={rpx0:z,rpx1:z,x0:f(c/h),x1:f((c+1)/h)}}return a(n,e)}(t);return function(t){return Z(e(t))}})),t.select(\"g.slicetext\").attr(\"opacity\",0)})).remove():T.exit().remove(),T.order();var X=null;if(b&&R){var $=_.getPtId(R);T.each((function(t){null===X&&_.getPtId(t)===$&&(X=t.x1)}))}var J=T;function K(t){var e=t.parent,r=F[_.getPtId(e)],n={};if(r){var i=e.children,o=i.indexOf(t),s=i.length,l=a(r.x0,r.x1);n.x0=l(o/s),n.x1=l(o/s)}else n.x0=n.x1=0;return n}b&&(J=J.transition().each(\"end\",(function(){var e=n.select(this);_.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:!1})}))),J.each((function(i){var c=n.select(this),h=s.ensureSingle(c,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",f?\"none\":\"all\")}));i.rpx0=H(i.y0),i.rpx1=H(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=G(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),b?h.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=F[_.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(R)if(t.parent)if(X){var i=(t.x1>X?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:z,rpx1:z},s.extendFlat(e,K(t));else e={rpx0:0,rpx1:0};else e={x0:V,x1:V};return a(e,n)}(t);return function(t){return Z(e(t))}})):h.attr(\"d\",Z),c.call(v,S,t,r,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(_.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),h.call(g,i,A,t);var p=s.ensureSingle(c,\"g\",\"slicetext\"),w=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),T=s.ensureUniformFontSize(t,_.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=m(M,i,k),i.transform.targetX=W(i),i.transform.targetY=Y(i);var E=function(t,e){var r=t.transform;return d(r,e),r.fontSize=T.size,u(A.type,r,y),s.getTextTransform(r)};b?w.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=F[_.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(X){var i=t.x1>X?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,K(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),c=a(e.x0,t.x0),h=a(e.x1,t.x1),f=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,m=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=c(t),i=h(t),a=function(t){return m(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 u(A.type,n,y),{transform:{targetX:W(s),targetY:Y(s),scale:f(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,c=!r,u=!s.uniformtext.mode&&_.hasTransition(r);h(\"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(),u?(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){b(t,e,this,r)}))}))):(a.each((function(e){b(t,e,this,r)})),s.uniformtext.mode&&y(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\")),c&&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,c=n[0],u=t.data.data,h=c.hierarchy,f=_.isHierarchyRoot(t),p=_.getParent(h,t),d=_.getValue(t);if(!a){var m,g=o.split(\"+\"),y=function(t){return-1!==g.indexOf(t)},v=[];if(y(\"label\")&&u.label&&v.push(u.label),u.hasOwnProperty(\"v\")&&y(\"value\")&&v.push(_.formatValue(u.v,l)),!f){y(\"current path\")&&v.push(_.getPath(t.data));var x=0;y(\"percent parent\")&&x++,y(\"percent entry\")&&x++,y(\"percent root\")&&x++;var b=x>1;if(x){var w,T=function(t){m=_.formatPercent(w,l),b&&(m+=\" of \"+t),v.push(m)};y(\"percent parent\")&&!f&&(w=d/_.getValue(p),T(\"parent\")),y(\"percent entry\")&&(w=d/_.getValue(e),T(\"entry\")),y(\"percent root\")&&(w=d/_.getValue(h),T(\"root\"))}}return y(\"text\")&&(m=s.castOption(r,u.i,\"text\"),s.isValidTextValue(m)&&v.push(m)),v.join(\"<br>\")}var k=s.castOption(r,u.i,\"texttemplate\");if(!k)return\"\";var A={};u.label&&(A.label=u.label),u.hasOwnProperty(\"v\")&&(A.value=u.v,A.valueLabel=_.formatValue(u.v,l)),A.currentPath=_.getPath(t.data),f||(A.percentParent=d/_.getValue(p),A.percentParentLabel=_.formatPercent(A.percentParent,l),A.parent=_.getPtLabel(p)),A.percentEntry=d/_.getValue(e),A.percentEntryLabel=_.formatPercent(A.percentEntry,l),A.entry=_.getPtLabel(e),A.percentRoot=d/_.getValue(h),A.percentRootLabel=_.formatPercent(A.percentRoot,l),A.root=_.getPtLabel(h),u.hasOwnProperty(\"color\")&&(A.color=u.color);var M=s.castOption(r,u.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,u.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},98972:function(t,e,r){\"use strict\";var n=r(45568),i=r(78766),a=r(34809),o=r(84102).resizeText,s=r(72043);function l(t,e,r,n){var o=e.data.data,l=!e.children,c=o.i,u=a.castOption(r,c,\"marker.line.color\")||i.defaultLine,h=a.castOption(r,c,\"marker.line.width\")||0;t.call(s,e,r,n).style(\"stroke-width\",h).call(i.stroke,u).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}},16131:function(t,e,r){\"use strict\";var n=r(78766),i=r(87163),a=r(80712).axisHoverFormat,o=r(3208).rb,s=r(9829),l=r(93049).extendFlat,c=r(13582).overrideAll;function u(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var h=t.exports=c(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(28379);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\"})}},27159:function(t,e,r){\"use strict\";var n=r(99098).gl_surface3d,i=r(99098).ndarray,a=r(99098).ndarray_linear_interpolate.d2,o=r(69295),s=r(78106),l=r(34809).isArrayOrTypedArray,c=r(46998).parseColorScale,u=r(55010),h=r(88856).extractOpts;function f(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=f.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){null!=t.dataCoordinate[a]&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var o=this.data.hovertext||this.data.text;return l(o)&&o[i]&&void 0!==o[i][n]?t.textLabel=o[i][n]:t.textLabel=o||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function 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32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return 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this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],h=8191&u,f=u>>>13,p=0|o[1],d=8191&p,m=p>>>13,g=0|o[2],y=8191&g,v=g>>>13,x=0|o[3],_=8191&x,b=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],C=8191&E,L=E>>>13,I=0|o[7],P=8191&I,z=I>>>13,O=0|o[8],D=8191&O,R=O>>>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,Z=0|s[2],W=8191&Z,Y=Z>>>13,X=0|s[3],$=8191&X,J=X>>>13,K=0|s[4],Q=8191&K,tt=K>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ht=8191&ut,ft=ut>>>13,pt=0|s[9],dt=8191&pt,mt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(c+(n=Math.imul(h,U))|0)+((8191&(i=(i=Math.imul(h,V))+Math.imul(f,U)|0))<<13)|0;c=((a=Math.imul(f,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(m,U)|0,a=Math.imul(m,V);var yt=(c+(n=n+Math.imul(h,H)|0)|0)+((8191&(i=(i=i+Math.imul(h,G)|0)+Math.imul(f,H)|0))<<13)|0;c=((a=a+Math.imul(f,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(v,U)|0,a=Math.imul(v,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0;var vt=(c+(n=n+Math.imul(h,W)|0)|0)+((8191&(i=(i=i+Math.imul(h,Y)|0)+Math.imul(f,W)|0))<<13)|0;c=((a=a+Math.imul(f,Y)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(_,U),i=(i=Math.imul(_,V))+Math.imul(b,U)|0,a=Math.imul(b,V),n=n+Math.imul(y,H)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(v,H)|0,a=a+Math.imul(v,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,Y)|0)+Math.imul(m,W)|0,a=a+Math.imul(m,Y)|0;var xt=(c+(n=n+Math.imul(h,$)|0)|0)+((8191&(i=(i=i+Math.imul(h,J)|0)+Math.imul(f,$)|0))<<13)|0;c=((a=a+Math.imul(f,J)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(_,H)|0,i=(i=i+Math.imul(_,G)|0)+Math.imul(b,H)|0,a=a+Math.imul(b,G)|0,n=n+Math.imul(y,W)|0,i=(i=i+Math.imul(y,Y)|0)+Math.imul(v,W)|0,a=a+Math.imul(v,Y)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(m,$)|0,a=a+Math.imul(m,J)|0;var _t=(c+(n=n+Math.imul(h,Q)|0)|0)+((8191&(i=(i=i+Math.imul(h,tt)|0)+Math.imul(f,Q)|0))<<13)|0;c=((a=a+Math.imul(f,tt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(_,W)|0,i=(i=i+Math.imul(_,Y)|0)+Math.imul(b,W)|0,a=a+Math.imul(b,Y)|0,n=n+Math.imul(y,$)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(v,$)|0,a=a+Math.imul(v,J)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0;var bt=(c+(n=n+Math.imul(h,rt)|0)|0)+((8191&(i=(i=i+Math.imul(h,nt)|0)+Math.imul(f,rt)|0))<<13)|0;c=((a=a+Math.imul(f,nt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(C,U),i=(i=Math.imul(C,V))+Math.imul(L,U)|0,a=Math.imul(L,V),n=n+Math.imul(M,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,Y)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,Y)|0,n=n+Math.imul(_,$)|0,i=(i=i+Math.imul(_,J)|0)+Math.imul(b,$)|0,a=a+Math.imul(b,J)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0;var wt=(c+(n=n+Math.imul(h,at)|0)|0)+((8191&(i=(i=i+Math.imul(h,ot)|0)+Math.imul(f,at)|0))<<13)|0;c=((a=a+Math.imul(f,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(P,U),i=(i=Math.imul(P,V))+Math.imul(z,U)|0,a=Math.imul(z,V),n=n+Math.imul(C,H)|0,i=(i=i+Math.imul(C,G)|0)+Math.imul(L,H)|0,a=a+Math.imul(L,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,Y)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,Y)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,J)|0,n=n+Math.imul(_,Q)|0,i=(i=i+Math.imul(_,tt)|0)+Math.imul(b,Q)|0,a=a+Math.imul(b,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0;var Tt=(c+(n=n+Math.imul(h,lt)|0)|0)+((8191&(i=(i=i+Math.imul(h,ct)|0)+Math.imul(f,lt)|0))<<13)|0;c=((a=a+Math.imul(f,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(P,H)|0,i=(i=i+Math.imul(P,G)|0)+Math.imul(z,H)|0,a=a+Math.imul(z,G)|0,n=n+Math.imul(C,W)|0,i=(i=i+Math.imul(C,Y)|0)+Math.imul(L,W)|0,a=a+Math.imul(L,Y)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,J)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(_,rt)|0,i=(i=i+Math.imul(_,nt)|0)+Math.imul(b,rt)|0,a=a+Math.imul(b,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ct)|0;var kt=(c+(n=n+Math.imul(h,ht)|0)|0)+((8191&(i=(i=i+Math.imul(h,ft)|0)+Math.imul(f,ht)|0))<<13)|0;c=((a=a+Math.imul(f,ft)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,H)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(P,W)|0,i=(i=i+Math.imul(P,Y)|0)+Math.imul(z,W)|0,a=a+Math.imul(z,Y)|0,n=n+Math.imul(C,$)|0,i=(i=i+Math.imul(C,J)|0)+Math.imul(L,$)|0,a=a+Math.imul(L,J)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(_,at)|0,i=(i=i+Math.imul(_,ot)|0)+Math.imul(b,at)|0,a=a+Math.imul(b,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ct)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ct)|0,n=n+Math.imul(d,ht)|0,i=(i=i+Math.imul(d,ft)|0)+Math.imul(m,ht)|0,a=a+Math.imul(m,ft)|0;var At=(c+(n=n+Math.imul(h,dt)|0)|0)+((8191&(i=(i=i+Math.imul(h,mt)|0)+Math.imul(f,dt)|0))<<13)|0;c=((a=a+Math.imul(f,mt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,Y)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,Y)|0,n=n+Math.imul(P,$)|0,i=(i=i+Math.imul(P,J)|0)+Math.imul(z,$)|0,a=a+Math.imul(z,J)|0,n=n+Math.imul(C,Q)|0,i=(i=i+Math.imul(C,tt)|0)+Math.imul(L,Q)|0,a=a+Math.imul(L,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(_,lt)|0,i=(i=i+Math.imul(_,ct)|0)+Math.imul(b,lt)|0,a=a+Math.imul(b,ct)|0,n=n+Math.imul(y,ht)|0,i=(i=i+Math.imul(y,ft)|0)+Math.imul(v,ht)|0,a=a+Math.imul(v,ft)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,mt)|0)+Math.imul(m,dt)|0))<<13)|0;c=((a=a+Math.imul(m,mt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,Y))+Math.imul(N,W)|0,a=Math.imul(N,Y),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,J)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(P,Q)|0,i=(i=i+Math.imul(P,tt)|0)+Math.imul(z,Q)|0,a=a+Math.imul(z,tt)|0,n=n+Math.imul(C,rt)|0,i=(i=i+Math.imul(C,nt)|0)+Math.imul(L,rt)|0,a=a+Math.imul(L,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(_,ht)|0,i=(i=i+Math.imul(_,ft)|0)+Math.imul(b,ht)|0,a=a+Math.imul(b,ft)|0;var St=(c+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,mt)|0)+Math.imul(v,dt)|0))<<13)|0;c=((a=a+Math.imul(v,mt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,J))+Math.imul(N,$)|0,a=Math.imul(N,J),n=n+Math.imul(D,Q)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(P,rt)|0,i=(i=i+Math.imul(P,nt)|0)+Math.imul(z,rt)|0,a=a+Math.imul(z,nt)|0,n=n+Math.imul(C,at)|0,i=(i=i+Math.imul(C,ot)|0)+Math.imul(L,at)|0,a=a+Math.imul(L,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ht)|0,i=(i=i+Math.imul(T,ft)|0)+Math.imul(k,ht)|0,a=a+Math.imul(k,ft)|0;var Et=(c+(n=n+Math.imul(_,dt)|0)|0)+((8191&(i=(i=i+Math.imul(_,mt)|0)+Math.imul(b,dt)|0))<<13)|0;c=((a=a+Math.imul(b,mt)|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(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(P,at)|0,i=(i=i+Math.imul(P,ot)|0)+Math.imul(z,at)|0,a=a+Math.imul(z,ot)|0,n=n+Math.imul(C,lt)|0,i=(i=i+Math.imul(C,ct)|0)+Math.imul(L,lt)|0,a=a+Math.imul(L,ct)|0,n=n+Math.imul(M,ht)|0,i=(i=i+Math.imul(M,ft)|0)+Math.imul(S,ht)|0,a=a+Math.imul(S,ft)|0;var Ct=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,mt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,mt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=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(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(P,lt)|0,i=(i=i+Math.imul(P,ct)|0)+Math.imul(z,lt)|0,a=a+Math.imul(z,ct)|0,n=n+Math.imul(C,ht)|0,i=(i=i+Math.imul(C,ft)|0)+Math.imul(L,ht)|0,a=a+Math.imul(L,ft)|0;var Lt=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,mt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,mt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=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(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(P,ht)|0,i=(i=i+Math.imul(P,ft)|0)+Math.imul(z,ht)|0,a=a+Math.imul(z,ft)|0;var It=(c+(n=n+Math.imul(C,dt)|0)|0)+((8191&(i=(i=i+Math.imul(C,mt)|0)+Math.imul(L,dt)|0))<<13)|0;c=((a=a+Math.imul(L,mt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ht)|0,i=(i=i+Math.imul(D,ft)|0)+Math.imul(R,ht)|0,a=a+Math.imul(R,ft)|0;var Pt=(c+(n=n+Math.imul(P,dt)|0)|0)+((8191&(i=(i=i+Math.imul(P,mt)|0)+Math.imul(z,dt)|0))<<13)|0;c=((a=a+Math.imul(z,mt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,ht),i=(i=Math.imul(B,ft))+Math.imul(N,ht)|0,a=Math.imul(N,ft);var zt=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,mt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,mt)|0)+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863;var Ot=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,mt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,mt))+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,l[0]=gt,l[1]=yt,l[2]=vt,l[3]=xt,l[4]=_t,l[5]=bt,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Ct,l[14]=Lt,l[15]=It,l[16]=Pt,l[17]=zt,l[18]=Ot,0!==c&&(l[19]=c,r.length++),r};function m(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,h=(0|t.words[u])*(0|e.words[c]),f=67108863&h;s=67108863&(f=f+s|0),i+=(o=(o=o+(h/67108864|0)|0)+(f>>>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):m(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var h=l,f=c,p=0;p<o;p++){var d=r[u+p],m=n[u+p],g=r[u+p+o],y=n[u+p+o],v=h*g-f*y;y=h*y+f*g,g=v,r[u+p]=d+g,n[u+p]=m+y,r[u+p+o]=d-g,n[u+p+o]=m-y,p!==s&&(v=l*h-c*f,f=l*f+c*h,h=v)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),h=new Array(n),f=r.words;f.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,h,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*h[p];l[p]=s[p]*h[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,f,a,n,i),this.conjugate(f,a,n),this.normalize13b(f,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),m(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var h=0|this.words[c];this.words[c]=u<<26-a|h>>>a,u=h&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r||!(this.words[r]&i))},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var h=l-1;h>=0;h--){var f=67108864*(0|n.words[i.length+h])+(0|n.words[i.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(i,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(i,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){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),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),h=e.clone();!e.isZero();){for(var f=0,p=1;0==(e.words[0]&p)&&f<26;++f,p<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(h)),i.iushrn(1),o.iushrn(1);for(var d=0,m=1;0==(r.words[0]&m)&&d<26;++d,m<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},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 c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var h=0,f=1;0==(r.words[0]&f)&&h<26;++h,f<<=1);if(h>0)for(r.iushrn(h);h-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function v(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(){v.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function _(){v.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function b(){v.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){v.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)}v.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},v.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},v.prototype.split=function(t,e){t.iushrn(this.n,0,e)},v.prototype.imulK=function(t){return t.imul(this.k)},i(x,v),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(_,v),i(b,v),i(w,v),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new _;else if(\"p192\"===t)e=new b;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var h=this.pow(u,i),f=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var m=p,g=0;0!==m.cmp(s);g++)m=m.redSqr();n(g<d);var y=this.pow(h,new a(1).iushln(d-g-1));f=f.redMul(y),h=y.redSqr(),p=p.redMul(h),d=g}return f},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var h=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==h||0!==o?(o<<=1,o|=h,(4==++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var 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if(f.right===s){if(!(d=p.left)||0!==d._color){p._color=0,p.right=f.left,f._color=1,f.left=p,l[h-2]=f,l[h-1]=s,i(p),i(f),h>=3&&((m=l[h-3]).right===p?m.right=f:m.left=f);break}f._color=1,p.left=n(1,d),p._color=0,h-=1}else{var d;if(!(d=p.left)||0!==d._color){var m;f.left=s.right,p._color=0,p.right=s.left,s._color=1,s.right=f,s.left=p,l[h-2]=s,l[h-1]=f,i(p),i(f),i(s),h>=3&&((m=l[h-3]).right===p?m.right=s:m.left=s);break}f._color=1,p.left=n(1,d),p._color=0,h-=1}}return l[0]._color=1,new a(o,l[0])},o.forEach=function(t,e,r){if(this.root)switch(arguments.length){case 1:return s(t,this.root);case 2:return l(e,this._compare,t,this.root);case 3:if(this._compare(e,r)>=0)return;return c(e,r,this._compare,t,this.root)}},Object.defineProperty(o,\"begin\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.left;return new u(this,t)}}),Object.defineProperty(o,\"end\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.right;return new u(this,t)}}),o.at=function(t){if(t<0)return new u(this,[]);for(var e=this.root,r=[];;){if(r.push(e),e.left){if(t<e.left._count){e=e.left;continue}t-=e.left._count}if(!t)return new u(this,r);if(t-=1,!e.right)break;if(t>=e.right._count)break;e=e.right}return new u(this,[])},o.ge=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new u(this,n)},o.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new u(this,n)},o.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new u(this,n)},o.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new u(this,n)},o.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new 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e(s._color,s.key,s.value,s.left,o[l+1],s._count);if((s=o[o.length-1]).left&&s.right){var c=o.length;for(s=s.left;s.right;)o.push(s),s=s.right;var u=o[c-1];for(o.push(new e(s._color,u.key,u.value,s.left,s.right,s._count)),o[c-1].key=s.key,o[c-1].value=s.value,l=o.length-2;l>=c;--l)s=o[l],o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);o[c-1].left=o[c]}if(0===(s=o[o.length-1])._color){var h=o[o.length-2];for(h.left===s?h.left=null:h.right===s&&(h.right=null),o.pop(),l=0;l<o.length;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(s.left||s.right){for(s.left?f(s,s.left):s.right&&f(s,s.right),s._color=1,l=0;l<o.length-1;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(1===o.length)return new a(this.tree._compare,null);for(l=0;l<o.length;++l)o[l]._count--;var p=o[o.length-2];return function(t){for(var e,a,o,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((a=t[l-1]).left===e){if((o=a.right).right&&0===o.right._color)return s=(o=a.right=r(o)).right=r(o.right),a.right=o.left,o.left=a,o.right=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((c=t[l-2]).left===a?c.left=o:c.right=o),void(t[l-1]=o);if(o.left&&0===o.left._color)return s=(o=a.right=r(o)).left=r(o.left),a.right=s.left,o.left=s.right,s.left=a,s.right=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((c=t[l-2]).left===a?c.left=s:c.right=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.right=n(0,o));a.right=n(0,o);continue}o=r(o),a.right=o.left,o.left=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((c=t[l-2]).left===a?c.left=o:c.right=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((o=a.left).left&&0===o.left._color)return s=(o=a.left=r(o)).left=r(o.left),a.left=o.right,o.right=a,o.left=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((c=t[l-2]).right===a?c.right=o:c.left=o),void(t[l-1]=o);if(o.right&&0===o.right._color)return s=(o=a.left=r(o)).right=r(o.right),a.left=s.right,o.right=s.left,s.right=a,s.left=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((c=t[l-2]).right===a?c.right=s:c.left=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.left=n(0,o));a.left=n(0,o);continue}var c;o=r(o),a.left=o.right,o.right=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((c=t[l-2]).right===a?c.right=o:c.left=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(o),p.left===s?p.left=null:p.right=null,new a(this.tree._compare,o[0])},Object.defineProperty(h,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(h,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(h,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),h.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(h,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),h.update=function(t){var r=this._stack;if(0===r.length)throw new Error(\"Can't update empty node!\");var n=new Array(r.length),i=r[r.length-1];n[n.length-1]=new e(i._color,i.key,t,i.left,i.right,i._count);for(var o=r.length-2;o>=0;--o)(i=r[o]).left===r[o+1]?n[o]=new e(i._color,i.key,i.value,n[o+1],i.right,i._count):n[o]=new e(i._color,i.key,i.value,i.left,n[o+1],i._count);return new a(this.tree._compare,n[0])},h.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(h,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},3837:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=new p(t);return r.update(e),r};var n=r(4935),i=r(501),a=r(5304),o=r(6429),s=r(6444),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=ArrayBuffer,u=DataView;function h(t){return Array.isArray(t)||function(t){return c.isView(t)&&!(t instanceof u)}(t)}function f(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\"],this.tickFontWeight=[\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\"],this.labelFontWeight=[\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\"],this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var d=p.prototype;function m(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}d.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?h(a)&&h(a[0]):h(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(h(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,f=!1;if(\"bounds\"in t)for(var p=t.bounds,d=0;d<2;++d)for(var m=0;m<3;++m)p[d][m]!==this.bounds[d][m]&&(f=!0),this.bounds[d][m]=p[d][m];if(\"ticks\"in t)for(r=t.ticks,u=!0,this.autoTicks=!1,d=0;d<3;++d)this.tickSpacing[d]=0;else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(d=0;d<3;++d)r[d].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),l(\"tickFontStyle\")&&(u=!0),l(\"tickFontWeight\")&&(u=!0),l(\"tickFontVariant\")&&(u=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),l(\"labelFontStyle\")&&(g=!0),l(\"labelFontWeight\")&&(g=!0),l(\"labelFontVariant\")&&(g=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\");var y=[{family:this.labelFont[0],style:this.labelFontStyle[0],weight:this.labelFontWeight[0],variant:this.labelFontVariant[0]},{family:this.labelFont[1],style:this.labelFontStyle[1],weight:this.labelFontWeight[1],variant:this.labelFontVariant[1]},{family:this.labelFont[2],style:this.labelFontStyle[2],weight:this.labelFontWeight[2],variant:this.labelFontVariant[2]}],v=[{family:this.tickFont[0],style:this.tickFontStyle[0],weight:this.tickFontWeight[0],variant:this.tickFontVariant[0]},{family:this.tickFont[1],style:this.tickFontStyle[1],weight:this.tickFontWeight[1],variant:this.tickFontVariant[1]},{family:this.tickFont[2],style:this.tickFontStyle[2],weight:this.tickFontWeight[2],variant:this.tickFontVariant[2]}];this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,y,this.ticks,v):this._text=n(this.gl,this.bounds,this.labels,y,this.ticks,v),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var g=[new m,new m,new m];function y(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var h=a,f=s,p=o,d=l;c&1<<u&&(h=s,f=a,p=l,d=o),h[u]=r[0][u],f[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var v=[0,0,0],x={model:l,view:l,projection:l,_ortho:!1};d.isOpaque=function(){return!0},d.isTransparent=function(){return!1},d.drawTransparent=function(t){};var _=[0,0,0],b=[0,0,0],w=[0,0,0];d.draw=function(t){t=t||x;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),u=c.cubeEdges,h=c.axis,p=n[12],d=n[13],m=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*p+i[7]*d+i[11]*m+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=u[A],this.lastCubeProps.axis[A]=h[A];var M=g;for(A=0;A<3;++A)y(g[A],A,this.bounds,u,h);e=this.gl;var S,E,C,L=v;for(A=0;A<3;++A)this.backgroundEnable[A]?L[A]=h[A]:L[A]=0;for(this._background.draw(r,n,i,a,L,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var I=[0,0,0];h[A]>0?I[A]=a[1][A]:I[A]=a[0][A];for(var P=0;P<2;++P){var z=(A+1+P)%3,O=(A+1+(1^P))%3;this.gridEnable[z]&&this._lines.drawGrid(z,O,this.bounds,I,this.gridColor[z],this.gridWidth[z]*this.pixelRatio)}for(P=0;P<2;++P)z=(A+1+P)%3,O=(A+1+(1^P))%3,this.zeroEnable[O]&&Math.min(a[0][O],a[1][O])<=0&&Math.max(a[0][O],a[1][O])>=0&&this._lines.drawZero(z,O,this.bounds,I,this.zeroLineColor[O],this.zeroLineWidth[O]*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 D=f(_,M[A].primalMinor),R=f(b,M[A].mirrorMinor),F=this.lineTickLength;for(P=0;P<3;++P){var B=k/r[5*P];D[P]*=F[P]*B,R[P]*=F[P]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,D,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){(C=[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=f(w,M[A].primalOffset);for(P=0;P<3;++P)this.lineTickEnable[A]&&(q[P]+=k*U[P]*Math.max(this.lineTickLength[P],0)/r[5*P]);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]),C=[0,0,0],j(A,U,V),P=0;P<3;++P)q[P]+=k*U[P]*this.tickPad[P]/r[5*P];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,C,S)}if(this.labelEnable[A]){for(E=0,C=[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]),P=0;P<3;++P)q[P]+=k*U[P]*this.labelPad[P]/r[5*P];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],C,S)}}this._text.unbind()},d.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},5304:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,h=[0,0,0],f=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),h[l]=p,f[l]=p;for(var d=-1;d<=1;d+=2){h[c]=d;for(var m=-1;m<=1;m+=2)h[u]=m,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),s+=1}var g=c;c=u,u=g}var y=n(t,new Float32Array(e)),v=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}],v),_=a(t);return _.attributes.position.location=0,_.attributes.normal.location=1,new o(t,y,x,_)};var n=r(2762),i=r(8116),a=r(1879).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()}},6429:function(t,e,r){\"use strict\";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var v=0,x=0;x<2;++x){u[2]=a[x][2];for(var _=0;_<2;++_){u[1]=a[_][1];for(var b=0;b<2;++b)u[0]=a[b][0],f(l[v],u,s),v+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,C=-1,L=0;L<2;++L){var I=(z=L<<A)+(L<<M)+(1-L<<S),P=z+(1-L<<M)+(L<<S);o(c[z],c[I],c[P],h)<0||(L?E=1:C=1)}if(E<0||C<0)C>E&&(w|=1<<A);else{for(L=0;L<2;++L){I=(z=L<<A)+(L<<M)+(1-L<<S),P=z+(1-L<<M)+(L<<S);var z,O=d([l[z],l[I],l[P],l[z+(1<<M)+(1<<S)]]);L?E=O:C=O}C>E&&(w|=1<<A)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==D&&(F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==D&&N!==F&&(B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N))}var j=m;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===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,q=w;for(A=0;A<3;++A)V[A]=q&1<<A?-1:1;return y};var n=r(8828),i=r(6760),a=r(5202),o=r(3250),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),h=[0,0,0];function f(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,h=l[0]/l[3]-n,f=l[1]/l[3]-i;o+=Math.abs(c*f-u*h)}return o}var m=[1,1,1],g=[0,0,0],y={cubeEdges:m,axis:g}},501:function(t,e,r){\"use strict\";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var h=0;h<3;++h){for(var f=o.length/3|0,d=0;d<r[h].length;++d){var m=+r[h][d].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}var g=o.length/3|0;s[h]=f,l[h]=g-f,f=o.length/3|0;for(var y=0;y<r[h].length;++y)m=+r[h][y].x,o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1);g=o.length/3|0,c[h]=f,u[h]=g-f}var v=n(t,new Float32Array(o)),x=i(t,[{buffer:v,type:t.FLOAT,size:3,stride:0,offset:0}]),_=a(t);return _.attributes.position.location=0,new p(t,v,x,_,l,s,u,c)};var n=r(2762),i=r(8116),a=r(1879).n,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function h(t){return t[0]=t[1]=t[2]=0,t}function f(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=h(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=f(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=h(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=h(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=h(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=h(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=h(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=f(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=h(o);d[t]=1,this.shader.uniforms.majorAxis=d;var m=h(l);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=h(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=f(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=h(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},1879:function(t,e,r){\"use strict\";var n=r(3236),i=r(9405),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.n=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\\n\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.Q=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=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}\\n\"]),u=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,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},4935:function(t,e,r){\"use strict\";t.exports=function(t,e,r,i,o,l){var c=n(t),h=a(t,[{buffer:c,size:3}]),f=s(t);f.attributes.position.location=0;var p=new u(t,f,c,h);return p.update(e,r,i,o,l),p};var n=r(2762),a=r(8116),o=r(4359),s=r(1879).Q,l=window||i.global||{},c=l.__TEXT_CACHE||{};function u(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var h=u.prototype,f=[0,0];h.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},h.unbind=function(){this.vao.unbind()},h.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=[r.style,r.weight,r.variant,r.family].join(\"_\"),u=c[l];u||(u=c[l]={});var h=u[e];h||(h=u[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.family,fontStyle:r.style,fontWeight:r.weight,fontVariant:r.variant,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,p=h.positions,d=h.cells,m=0,g=d.length;m<g;++m)for(var y=d[m],v=2;v>=0;--v){var x=p[y[v]];a.push(f*x[0],-f*x[1],t)}}for(var l=[0,0,0],u=[0,0,0],h=[0,0,0],f=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){h[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),f[d]=(a.length/3|0)-h[d],l[d]=a.length/3|0;for(var m=0;m<n[d].length;++m)if(n[d][m].text){var g={family:n[d][m].font||i[d].family,style:i[d].fontStyle||i[d].style,weight:i[d].fontWeight||i[d].weight,variant:i[d].fontVariant||i[d].variant};s(n[d][m].x,n[d][m].text,g,n[d][m].fontSize||12,1.25,p)}u[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=u,this.labelOffset=h,this.labelCount=f},h.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},h.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},h.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},6444:function(t,e){\"use strict\";function r(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),i){for(var h=\"\"+c;h.length<i;)h=\"0\"+h;return u+\".\"+h}return u}e.create=function(t,e){for(var n=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:r(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},5445:function(t,e,r){\"use strict\";t.exports=function(t,e,r,l,h){var f=e.model||c,p=e.view||c,y=e.projection||c,v=e._ortho||!1,x=t.bounds,_=(h=h||a(f,p,y,x,v)).axis;o(u,p,f),o(u,y,u);for(var b=m,w=0;w<3;++w)b[w].lo=1/0,b[w].hi=-1/0,b[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(_[k]<0!=!!w){S[k]=x[w][k];for(var C=0;C<2;++C){S[A]=x[C^w][A];for(var L=0;L<2;++L)S[M]=x[L^C^w][M],E.push(S.slice())}var I=v?5:4;for(C=I;C===I;++C){if(0===E.length)continue t;E=i.positive(E,T[C])}for(C=0;C<E.length;++C){M=E[C];var P=d(g,u,M,r,l);for(L=0;L<3;++L)b[L].lo=Math.min(b[L].lo,M[L]),b[L].hi=Math.max(b[L].hi,M[L]),L!==k&&(b[L].pixelsPerDataUnit=Math.min(b[L].pixelsPerDataUnit,Math.abs(P[L])))}}}}return b};var n=r(5033),i=r(5202),a=r(6429),o=r(6760),s=r(5665),l=r(5352),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function h(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var f=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=f,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,h=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+h*h)}return t}var m=[new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0)],g=[0,0,0]},2762:function(t,e,r){\"use strict\";var n=r(1888),i=r(5298),a=r(9618),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(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=c(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 h;h=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?h:h.subarray(0,t.length),e),n.free(h)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(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}},6405:function(t,e,r){\"use strict\";var n=r(2931);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,c=1/0,u=-1/0,h=1/0,f=-1/0,p=null,d=null,m=[],g=1/0,y=!1,v=\"raw\"===t.coneSizemode,x=0;x<r.length;x++){var _=r[x];s=Math.min(_[0],s),l=Math.max(_[0],l),c=Math.min(_[1],c),u=Math.max(_[1],u),h=Math.min(_[2],h),f=Math.max(_[2],f);var b=i[x];if(n.length(b)>o&&(o=n.length(b)),x&&!v){var w=2*n.distance(p,_)/(n.length(d)+n.length(b));w?(g=Math.min(g,w),y=!1):y=!0}y||(p=_,d=b),m.push(b)}var T=[s,c,h],k=[l,u,f];e&&(e[0]=T,e[1]=k),0===o&&(o=1);var A=1/o;isFinite(g)||(g=1),a.vectorScale=g;var M=t.coneSize||(v?1:.5);t.absoluteConeSize&&(M=t.absoluteConeSize*A),a.coneScale=M,x=0;for(var S=0;x<r.length;x++)for(var E=(_=r[x])[0],C=_[1],L=_[2],I=m[x],P=n.length(I)*A,z=0;z<8;z++){a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.vectors.push(I),a.vectors.push(I),a.vectors.push(I),a.vectors.push(I),a.vectors.push(I),a.vectors.push(I),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var O=a.positions.length;a.cells.push([O-6,O-5,O-4],[O-3,O-2,O-1])}return a};var i=r(614);t.exports.createMesh=r(9060),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:\"cone\"})}},9060:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(6760),l=r(7608),c=r(9618),u=r(6729),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=h,this._view=h,this._projection=h,this._resolution=[1,1]}var p=f.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({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 c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],h=[];this.cells=r,this.positions=n,this.vectors=i;var f=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,m=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],m=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),m=Math.max(m,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),m=Math.max(m,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var v=n[g],x=0;x<3;++x)!isNaN(v[x])&&isFinite(v[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],v[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],v[x]));var _=0;t:for(g=0;g<r.length;++g){var b=r[g];if(3===b.length){for(x=0;x<3;++x){v=n[T=b[x]];for(var w=0;w<3;++w)if(isNaN(v[w])||!isFinite(v[w]))continue t}for(x=0;x<3;++x){var T;v=n[T=b[2-x]],a.push(v[0],v[1],v[2],v[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=f;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(m-d),0]:[(v[2]-d)/(m-d),0],l.push(A[0],A[1]),h.push(g)}_+=1}}this.triangleCount=_,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(h))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,i=t.projection||h,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:h.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);for(s(u,c.view,c.model),s(u,c.projection,u),l(u,u),o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/f}if(this.triangleCount>0){var m=this.triShader;m.bind(),m.uniforms=c,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||h,n=t.view||h,i=t.projection||h,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),u=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),h=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));h.generateMipmap(),h.minFilter=t.LINEAR_MIPMAP_LINEAR,h.magFilter=t.LINEAR;var p=i(t),d=i(t),m=i(t),g=i(t),y=i(t),v=new f(t,h,l,u,p,d,y,m,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return v.update(e),v}},614:function(t,e,r){var n=r(3236),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\"}]}},737: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\"}},5171:function(t,e,r){var 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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\"}])}},2260:function(t,e,r){\"use strict\";var n=r(7766);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 c=t.getExtension(\"WEBGL_draw_buffers\");if(!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,c),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var u=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>u||r<0||r>u)throw new 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u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function h(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 f(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;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var m=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return m._shape[0]},set:function(t){return m.width=t}},1:{get:function(){return m._shape[1]},set:function(t){return m.height=t}}}),this._shapeVector=g,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,m=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=f(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+y);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var v=r.getExtension(\"WEBGL_depth_texture\");v?d?t.depth=f(r,i,a,v.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m&&(t.depth=f(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):m&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),h(x)}u(r,e)}(this)}var m=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),h(s)),u(n,a)}}Object.defineProperties(m,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),m.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},m.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},2992:function(t,e,r){var n=r(3387).sprintf,i=r(5171),a=r(1848),o=r(1085);t.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),h=t.split(\"\\n\"),f={},p=0;p<h.length;p++){var d=h[p];if(\"\"!==d&&\"\\0\"!==d){var m=parseInt(d.split(\":\")[2]);if(isNaN(m))throw new Error(n(\"Could not parse error: %s\",d));f[m]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if((f[p+3]||f[p+2]||f[p+1])&&(c+=g[p]+\"\\n\",f[p+1])){var y=f[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}return{long:c.trim(),short:u.trim()}}},2510:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=t.gl,n=new c(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(2478),i=r(7762),a=r(1888),o=r(9405),s=r(2762),l=r(6768);function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,h=c.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var h=e.uniforms;h.viewTransform=u,h.shape=this.shape;var f=e.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*c/h,t[4]=2*u/f,t[6]=2*(a[0]-l[0])/h-1,t[7]=2*(a[1]-l[1])/f-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},h.update=function(t){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 c,u,h,p,d=t.colorLevels||[0],m=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(c=y[0]=r[0],u=y[1]=o[0],h=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(c=y[0]=r[0]+(r[1]-r[0])/2,u=y[1]=o[0]+(o[1]-o[0])/2,h=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 v=1/(h-c),x=1/(p-u),_=e[0],b=e[1];this.shape=[_,b];var w=(l?(_-1)*(b-1):_*b)*(f.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?_-1:_,C=l?b-1:b,L=0;L<C;++L){var I,P;l?(I=x*(o[L]-u),P=x*(o[L+1]-u)):(I=L<b-1?x*(o[L]-(o[L+1]-o[L])/2-u):x*(o[L]-(o[L]-o[L-1])/2-u),P=L<b-1?x*(o[L]+(o[L+1]-o[L])/2-u):x*(o[L]+(o[L]-o[L-1])/2-u));for(var z=0;z<E;++z){var O,D;l?(O=v*(r[z]-c),D=v*(r[z+1]-c)):(O=z<_-1?v*(r[z]-(r[z+1]-r[z])/2-c):v*(r[z]-(r[z]-r[z-1])/2-c),D=z<_-1?v*(r[z]+(r[z+1]-r[z])/2-c):v*(r[z]+(r[z]-r[z-1])/2-c));for(var R=0;R<f.length;R+=2){var F,B,N,j,U=f[R],V=f[R+1],q=s[l?(L+V)*_+(z+U):L*_+z],H=n.le(d,q);if(H<0)F=m[0],B=m[1],N=m[2],j=m[3];else if(H===g-1)F=m[4*g-4],B=m[4*g-3],N=m[4*g-2],j=m[4*g-1];else{var G=(q-d[H])/(d[H+1]-d[H]),Z=1-G,W=4*H,Y=4*(H+1);F=Z*m[W]+G*m[Y],B=Z*m[W+1]+G*m[Y+1],N=Z*m[W+2]+G*m[Y+2],j=Z*m[W+3]+G*m[Y+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*O+.5*D,k[2*S+1]=.5*I+.5*P,A[2*S]=U,A[2*S+1]=V,M[S]=L*_+z,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},6768:function(t,e,r){\"use strict\";var n=r(3236);t.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},7319:function(t,e,r){var n=r(3236),i=r(9405),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * (view * (model * vec4(p, 1.0)));\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},5714:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=h(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=f(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),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}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var m=new y(e,r,o,s,l,d);return m.update(t),m};var n=r(2762),i=r(8116),a=r(7766),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(2478),c=r(9618),u=r(7319),h=u.createShader,f=u.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 m(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 v=y.prototype;v.isTransparent=function(){return this.hasAlpha},v.isOpaque=function(){return!this.hasAlpha},v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.drawTransparent=v.draw=function(t){if(this.vertexCount){var 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r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return(r=Math.sqrt(r))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),y=0;for(h=0;h<3;++h){if(g[h]<-.001||g[h]>1.0001)return null;y+=g[h]}return Math.abs(y-1)>.001?null:[f,s(t,g),g]}},840:function(t,e,r){var n=r(3236),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}\"]),c=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}\"]),u=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}\"]),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\\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}\"]),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\\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:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},e.pickShader={vertex:u,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},e.pointPickShader={vertex:f,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},7201:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(8406),l=r(6760),c=r(7608),u=r(9618),h=r(6729),f=r(7765),p=r(1888),d=r(840),m=r(7626),g=d.meshShader,y=d.wireShader,v=d.pointShader,x=d.pickShader,_=d.pointPickShader,b=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,c,u,h,f,p,d,m,g,y,v,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=u,this.triangleNormals=f,this.triangleUVs=h,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=m,this.edgeVAO=v,this.edgeCount=0,this.pointPositions=x,this.pointColors=b,this.pointUVs=T,this.pointSizes=k,this.pointIds=_,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,v.vertex,v.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,_.vertex,_.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function C(t){var e=n(t,b.vertex,b.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=f(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var h=c[0];2===c.length&&(h=c[u]);for(var d=n[h][0],m=n[h][1],g=i[h],y=1-g,v=this.positions[d],x=this.positions[m],_=0;_<3;++_)o[s++]=g*v[_]+y*x[_]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=h({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],f=[],p=[],d=[],m=[],g=[],y=[],v=[],x=[],_=[],b=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,C=t.meshColor||[1,1,1,1],L=t.vertexUVs,I=t.vertexIntensity,P=t.cellUVs,z=t.cellIntensity,O=1/0,D=-1/0;if(!L&&!P)if(I)if(t.vertexIntensityBounds)O=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<I.length;++R){var F=I[R];O=Math.min(O,F),D=Math.max(D,F)}else if(z)if(t.cellIntensityBounds)O=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<z.length;++R)F=z[R],O=Math.min(O,F),D=Math.max(D,F);else for(R=0;R<n.length;++R)F=n[R][2],O=Math.min(O,F),D=Math.max(D,F);this.intensity=I||z||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.pickVertex=!(z||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),Y=S?S[W]:E?E[R]:C,this.opacityscale&&I?a.push(Y[0],Y[1],Y[2],this.opacity*A((I[W]-O)/(D-O),this.opacityscale)):3===Y.length?v.push(Y[0],Y[1],Y[2],this.opacity):(v.push(Y[0],Y[1],Y[2],Y[3]*this.opacity),Y[3]<1&&(this.hasAlpha=!0)),X=L?L[W]:I?[(I[W]-O)/(D-O),0]:P?P[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],x.push(X[0],X[1]),B?_.push(B[W]):_.push(N),b.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t}for(U=0;U<2;++U)j=n[W=G[U]],p.push(j[0],j[1],j[2]),Y=S?S[W]:E?E[R]:C,this.opacityscale&&I?a.push(Y[0],Y[1],Y[2],this.opacity*A((I[W]-O)/(D-O),this.opacityscale)):3===Y.length?d.push(Y[0],Y[1],Y[2],this.opacity):(d.push(Y[0],Y[1],Y[2],Y[3]*this.opacity),Y[3]<1&&(this.hasAlpha=!0)),X=L?L[W]:I?[(I[W]-O)/(D-O),0]:P?P[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],m.push(X[0],X[1]),g.push(R);q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t;for(U=0;U<3;++U){var W,Y,X,$;j=n[W=G[2-U]],i.push(j[0],j[1],j[2]),(Y=S?S[W]:E?E[R]:C)?this.opacityscale&&I?a.push(Y[0],Y[1],Y[2],this.opacity*A((I[W]-O)/(D-O),this.opacityscale)):3===Y.length?a.push(Y[0],Y[1],Y[2],this.opacity):(a.push(Y[0],Y[1],Y[2],Y[3]*this.opacity),Y[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),X=L?L[W]:I?[(I[W]-O)/(D-O),0]:P?P[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],c.push(X[0],X[1]),$=w?w[W]:T[R],l.push($[0],$[1],$[2]),f.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(v),this.pointUVs.update(x),this.pointSizes.update(_),this.pointIds.update(new Uint32Array(b)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(f))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);for(l(u,s.view,s.model),l(u,s.projection,u),c(u,u),o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var h,f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/f}this.triangleCount>0&&((h=this.triShader).bind(),h.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((h=this.lineShader).bind(),h.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&&((h=this.pointShader).bind(),h.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((h=this.contourShader).bind(),h.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],h=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:h}}var f=m(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!f)return null;var p=f[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:f[1],index:r[f[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[f[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},t.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\")))throw new Error(\"derivatives not supported\");var r=function(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=M(t),c=S(t),h=E(t),f=C(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),m=i(t),v=i(t),x=i(t),_=i(t),b=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:_,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),k=i(t),A=i(t),L=i(t),I=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:L,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:A,type:t.FLOAT,size:2}]),P=i(t),z=i(t),O=i(t),D=i(t),R=i(t),F=a(t,[{buffer:P,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:z,type:t.FLOAT,size:4},{buffer:O,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,c,h,f,d,_,m,v,x,b,w,L,k,A,I,P,R,z,O,D,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},8120:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(2762),i=r(9405),a=r(3603);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},1913:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(2762),i=r(9405),a=r(2478),o=r(3603);function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,h,f,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],h=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,f=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,m=0;m<2;++m){var g=a[m],y=a[m+2]-g,v=.5*(o[m+2]+o[m]),x=o[m+2]-o[m];u[m]=2*y/x,c[m]=2*(g-v)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var _=0;for(m=0;m<2;++m){h[0]=h[1]=0,h[m]=1,r.uniforms.dataAxis=h,r.uniforms.lineWidth=l[m]/(s[m+2]-s[m])*d,r.uniforms.color=f[m];var b=6*n[m].length;p[m]&&b&&i.drawArrays(i.TRIANGLES,_,b),_+=b}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,h=this.ticks,f=s.gl,p=s._tickBounds,d=s.dataBox,m=s.viewBox,g=s.pixelRatio,y=s.screenBox,v=y[2]-y[0],x=y[3]-y[1],_=m[2]-m[0],b=m[3]-m[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=_/v,t[0]*=_/v,e[1]*=b/x,t[1]*=b/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,C=s.tickMarkWidth,L=s.tickMarkColor,I=6*h[0].length,P=Math.min(a.ge(h[0],(d[0]-p[0])/(p[2]-p[0]),l),h[0].length),z=Math.min(a.gt(h[0],(d[2]-p[0])/(p[2]-p[0]),l),h[0].length),O=0+6*P,D=6*Math.max(0,z-P),R=Math.min(a.ge(h[1],(d[1]-p[1])/(p[3]-p[1]),l),h[1].length),F=Math.min(a.gt(h[1],(d[3]-p[1])/(p[3]-p[1]),l),h[1].length),B=I+6*R,N=6*Math.max(0,F-R);i[0]=2*(m[0]-E[1])/v-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[1]*g/v,o[1]=C[1]*g/x,N&&(S.color=L[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,f.drawArrays(f.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/v-1,i[1]=2*(m[1]-E[0])/x-1,o[0]=C[0]*g/v,o[1]=E[0]*g/x,D&&(S.color=L[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,f.drawArrays(f.TRIANGLES,O,D)),i[0]=2*(m[2]+E[3])/v-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[3]*g/v,o[1]=C[3]*g/x,N&&(S.color=L[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,f.drawArrays(f.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/v-1,i[1]=2*(m[3]+E[2])/x-1,o[0]=C[2]*g/v,o[1]=E[2]*g/x,D&&(S.color=L[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,f.drawArrays(f.TRIANGLES,O,D))}}(),d.update=(f=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],h=0;h<l.length;++h){var d=(l[h].x-c)/(u-c);s.push(d);for(var m=0;m<6;++m)n[i++]=d,n[i++]=f[m],n[i++]=p[m]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},4747:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(2762),i=r(9405),a=r(3603);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3603:function(t,e,r){\"use strict\";var n=r(3236),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);t.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},2142:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(2762),i=r(9405),a=r(529),o=r(2478),s=r(3603);function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,h,f,p,d,m=l.prototype;m.drawTicks=(c=[0,0],u=[0,0],h=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,f=e.screenBox,p=e.pixelRatio,d=e.tickEnable,m=e.tickPad,g=e.tickColor,y=e.tickAngle,v=e.labelEnable,x=e.labelPad,_=e.labelColor,b=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(f[2+t]-f[t])-1;var M=2/f[2+(1^t)]-f[1^t];u[1^t]=M*s[1^t]-1,d[t]&&(u[1^t]-=M*p*m[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),v[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=_[t],r.uniforms.angle=b[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*m[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),v[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=_[t+2],r.uniforms.angle=b[t+2],a.drawArrays(a.TRIANGLES,w,T))}),m.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,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-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)}}}(),m.bind=(f=[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,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],h=a[o],m=a[o+2]-h,g=i[o],y=i[o+2]-g;p[o]=2*l/u*m/y,f[o]=2*(s-c)/u*m/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=f,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),m.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],h=[-1/0],f=l[o];for(e=0;e<f.length;++e){var p=f[e],d=p.x,m=p.text,g=p.font||\"sans-serif\",y=p.fontStyle||\"normal\",v=p.fontWeight||\"normal\",x=p.fontVariant||\"normal\";i=p.fontSize||12;for(var _=1/(c[o+2]-c[o]),b=c[o],w=m.split(\"\\n\"),T=0;T<w.length;T++)for(n=a(g,w[T],{fontStyle:y,fontWeight:v,fontVariant:x}).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-T*i*1.2,(d-b)*_);u.push(Math.floor(s.length/3)),h.push(d)}this.tickOffset[o]=u,this.tickX[o]=h}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{fontStyle:t.labelFontStyle[o],fontWeight:t.labelFontWeight[o],fontVariant:t.labelFontVariant[o],textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title,{fontStyle:t.titleFontStyle,fontWeight:t.titleFontWeight,fontVariant:t.titleFontVariant}).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},m.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},1850:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(3589),i=r(1913),a=r(2142),o=r(4747),s=r(8120);function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function h(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,p=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var d=0;d<2;++d)if(h[d]&&n[d]<=0&&n[d+2]>=0){var m=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(m,e[1],m,e[3],p[d],f[d]):o.drawLine(e[0],m,e[2],m,p[d],f[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,v=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],v[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],v[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],v[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],v[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var h=c[u].pick(a,o,l);if(h)return h}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]),this.screenBox,this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(h),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],labelFontStyle:t.labelFontStyle||[\"normal\",\"normal\"],labelFontWeight:t.labelFontWeight||[\"normal\",\"normal\"],labelFontVariant:t.labelFontVariant||[\"normal\",\"normal\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\",titleFontStyle:t.titleFontStyle||\"normal\",titleFontWeight:t.titleFontWeight||\"normal\",titleFontVariant:t.titleFontVariant||\"normal\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},4437:function(t,e,r){\"use strict\";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];\"distanceLimits\"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(r[0]=e.zoomMin),\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],h=0,f=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===f&&t.clientHeight===p;return f=t.clientWidth,p=t.clientHeight,a?!l:(h=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return h},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,f=!!a.control,p=!!a.alt,m=!!a.shift,g=!!(1&e),y=!!(2&e),v=!!(4&e),x=1/t.clientHeight,_=x*(r-d._lastX),b=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!f&&!p&&!m||g&&!f&&!p&&m)&&c.rotate(A,w*k*_,-T*k*b,0),(l&&g&&!f&&!p&&!m||y||g&&f&&!p&&!m)&&c.pan(A,-d.translateSpeed*_*h,d.translateSpeed*b*h,0),u&&g&&!f&&!p&&!m||v||g&&!f&&p&&!m)){var M=-d.zoomSpeed*b/window.innerHeight*(A-c.lastT())*100;c.pan(A,0,0,h*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.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-c.lastT())/20;c.pan(a,0,0,h*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(3025),i=r(6296),a=r(351),o=r(8512),s=r(24),l=r(7520)},799:function(t,e,r){var n=r(3236),i=r(9405),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\"}])}},4100:function(t,e,r){\"use strict\";var n=r(4437),i=r(3837),a=r(5445),o=r(4449),s=r(3589),l=r(2260),c=r(7169),u=r(351),h=r(4772),f=r(4040),p=r(799),d=r(9216)({tablet:!0,featureDetect:!0});function m(){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 v=t.bounds||[[-10,-10,-10],[10,10,10]],x=new m,_=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),b=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=[],C=[],L=[],I=[],P=!0,z=!0,O={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},D=(z=!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:v,objects:E,shape:D,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:O,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,z=!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\",P=!0}}}function j(){for(var t=E.length,e=I.length,n=0;n<e;++n)L[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(L[o]+a<255){C[n]=o,i.setPickBase(L[o]+1),L[o]+=a;continue t}var l=s(r,D);C[n]=e,I.push(l),L.push(a),i.setPickBase(1),e+=1}else C[n]=-1}for(;e>0&&0===L[e-1];)L.pop(),I.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||{},P=!0,z=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),C.push(-1),P=!0,z=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),C.pop(),P=!0,z=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener(\"resize\",N),e.removeEventListener(\"webglcontextlost\",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(_.dispose(),t=0;t<I.length;++t)I[t].dispose();b.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=u(e,(function(t,e,r){if(!F._stopped){var n=I.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(z=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=I[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(C[c]===s){var h=u.pick(l);h&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=h.distance,x.dataPosition=h.position,x.dataCoordinate=h.dataCoordinate,x.data=h,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),P=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),P=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],q=[V[0].slice(),V[1].slice()];function H(){if(!U()){N();var t=F.camera.tick();O.view=F.camera.matrix,P=P||t,z=z||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(L=E[o]).pixelRatio=F.pixelRatio,L.axes=F.axes,P=P||!!L.dirty,z=z||!!L.dirty;var s=L.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var m=.05*(i[p]-n[p]);n[p]=n[p]-m,i[p]=i[p]+m}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||q[0][p]!==d[0][p]||q[1][p]!==d[1][p],q[0][p]=d[0][p],q[1][p]=d[1][p];if(z=z||y,P=P||y){if(y){var v=[0,0,0];for(o=0;o<3;++o)v[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:v}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(D[0]=T,D[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(f(i,-p,p,-1,1,l,c),n._ortho=!0):(h(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var m=0;for(d=0;d<3;++d)m=Math.max(m,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/m,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(L=E[o]).axesBounds=d,F.clipToBounds&&(L.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),z&&(z=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=I.length,n=0;n<e;++n){var i=I[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(C[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(O))}i.end()}}}()),F.axesPixels=a(F.axes,O,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(A.enable&&(M=M||A.isTransparent(),A.draw(O)),S.axes=A,x.object&&S.draw(O),r.disable(r.CULL_FACE),o=0;o<e;++o)(L=E[o]).axes=A,L.pixelRatio=F.pixelRatio,L.isOpaque&&L.isOpaque()&&L.draw(O),L.isTransparent&&L.isTransparent()&&(M=!0);if(M){for(_.shape=D,_.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(O),o=0;o<e;++o)(L=E[o]).isOpaque&&L.isOpaque()&&L.draw(O);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(O),o=0;o<e;++o){var L;(L=E[o]).isTransparent&&L.isTransparent()&&L.drawTransparent(O)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),b.bind(),_.color[0].bind(0),b.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}for(P=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(H(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(P=!0,H())},F},createCamera:n}},6640:function(t,e,r){var n=r(3236);e.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),e.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),e.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),e.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},4696:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(1888),o=r(6640);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,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.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),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=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=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var h=n.getParameter(n.BLEND),f=n.getParameter(n.DITHER);return h&&!this.blend&&n.disable(n.BLEND),f&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),h&&!this.blend&&n.enable(n.BLEND),f&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},783:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],h=e[2],f=e[3],p=r[0],d=r[1],m=r[2],g=r[3];return(a=c*p+u*d+h*m+f*g)<0&&(a=-a,p=-p,d=-d,m=-m,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*c+l*p,t[1]=s*u+l*d,t[2]=s*h+l*m,t[3]=s*f+l*g,t}},5964:function(t){\"use strict\";t.exports=function(t){return t||0===t?t.toString():\"\"}},9366:function(t,e,r){\"use strict\";var n=r(4359);t.exports=function(t,e,r){var a=[e.style,e.weight,e.variant,e.family].join(\"_\"),o=i[a];if(o||(o=i[a]={}),t in o)return o[t];var s={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e.family,fontStyle:e.style,fontWeight:e.weight,fontVariant:e.variant,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},l=n(t,s);s.triangles=!1;var c,u,h=n(t,s);if(r&&1!==r){for(c=0;c<l.positions.length;++c)for(u=0;u<l.positions[c].length;++u)l.positions[c][u]/=r;for(c=0;c<h.positions.length;++c)for(u=0;u<h.positions[c].length;++u)h.positions[c][u]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],p=h.positions.length;for(c=0;c<p;++c){var d=h.positions[c];for(u=0;u<2;++u)f[0][u]=Math.min(f[0][u],d[u]),f[1][u]=Math.max(f[1][u],d[u])}return o[t]=[l,h,f]};var i={}},1283:function(t,e,r){var n=r(9405),i=r(3236),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * (view * (model * vec4(position, 1)));\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * (view * (model * vec4(dataPosition, 1)));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=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}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:a,fragment:l,attributes:u},f={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},m={vertex:o,fragment:c,attributes:u},g={vertex:s,fragment:c,attributes:u};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,h)},e.createOrtho=function(t){return y(t,f)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,m)},e.createPickProject=function(t){return y(t,g)}},8418:function(t,e,r){\"use strict\";var n=r(5219),i=r(2762),a=r(8116),o=r(1888),s=r(6760),l=r(1283),c=r(9366),u=r(5964),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],f=ArrayBuffer,p=DataView;function d(t){return Array.isArray(t)||function(t){return f.isView(t)&&!(t instanceof p)}(t)}function m(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 g(t,e,r,n){return m(n,n),m(n,n),m(n,n)}function y(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function x(t,e,r,n,i,a,o,s,l,c,u,h){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=c,this.pickOrthoShader=u,this.pickProjectShader=h,this.points=[],this._selectResult=new y(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),c=l.createPickOrtho(e),u=l.createPickProject(e),h=i(e),f=i(e),p=i(e),d=i(e),m=new x(e,r,n,o,h,f,p,d,a(e,[{buffer:h,size:3,type:e.FLOAT},{buffer:f,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,c,u);return m.update(t),m};var _=x.prototype;_.pickSlots=1,_.setPickBase=function(t){this.pickId=t},_.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},_.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 b=[0,0],w=[0,0,0],T=[0,0,0],k=[0,0,0,1],A=[0,0,0,1],M=h.slice(),S=[0,0,0],E=[[0,0,0],[0,0,0]];function C(t){return t[0]=t[1]=t[2]=0,t}function L(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function I(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var P=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function z(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,c=r.model||h,u=r.view||h,f=r.projection||h,p=e.axesBounds,d=function(t){for(var e=E,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],b[0]=2/o.drawingBufferWidth,b[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=f,l.screenSize=b,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=d,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var m=0;m<3;++m)if(a[m]){l.scale=e.projectScale[m],l.opacity=e.projectOpacity[m];for(var y=M,v=0;v<16;++v)y[v]=0;for(v=0;v<4;++v)y[5*v]=1;y[5*m]=0,i[m]<0?y[12+m]=p[0][m]:y[12+m]=p[1][m],s(y,c,y),l.model=y;var x=(m+1)%3,_=(m+2)%3,P=C(w),z=C(T);P[x]=1,z[_]=1;var O=g(0,0,0,L(k,P)),D=g(0,0,0,L(A,z));if(Math.abs(O[1])>Math.abs(D[1])){var R=O;O=D,D=R,R=P,P=z,z=R;var F=x;x=_,_=F}O[0]<0&&(P[x]=-1),D[1]>0&&(z[_]=-1);var B=0,N=0;for(v=0;v<4;++v)B+=Math.pow(c[4*x+v],2),N+=Math.pow(c[4*_+v],2);P[x]/=Math.sqrt(B),z[_]/=Math.sqrt(N),l.axes[0]=P,l.axes[1]=z,l.fragClipBounds[0]=I(S,d[0],m,-1e8),l.fragClipBounds[1]=I(S,d[1],m,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 c=t.uniforms;c.model=n.model||h,c.view=n.view||h,c.projection=n.projection||h,b[0]=2/l.drawingBufferWidth,b[1]=2/l.drawingBufferHeight,c.screenSize=b,c.highlightId=r.highlightId,c.highlightScale=r.highlightScale,c.fragClipBounds=P,c.clipBounds=r.axes.bounds,c.opacity=r.opacity,c.pickGroup=r.pickId/255,c.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 O(t,e,r,i){var a;a=d(t)?e<t.length?t[e]:void 0:t,a=u(a);var 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float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * 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\"}]}},7815:function(t,e,r){\"use strict\";var n=r(2931),i=r(9970),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,c=t.maxLength||1e3,u=t.tubeSize||1,h=t.absoluteTubeSize,f=t.gridFill||\"+x+y+z\",p={};-1!==f.indexOf(\"-x\")&&(p.reversedX=!0),-1!==f.indexOf(\"-y\")&&(p.reversedY=!0),-1!==f.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(f.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,l=t[0],c=t[1],u=t[2],h=a[0].length,f=a[1].length,p=a[2].length,d=o(a[0],l),m=o(a[1],c),g=o(a[2],u),y=d+1,v=m+1,x=g+1;if(d=s(d,0,h-1),y=s(y,0,h-1),m=s(m,0,f-1),v=s(v,0,f-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||m<0||g<0||y>h-1||v>f-1||x>p-1)return n.create();var _,b,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][m],C=a[1][v],L=a[2][g],I=(l-M)/(S-M),P=(c-E)/(C-E),z=(u-L)/(a[2][x]-L);switch(isFinite(I)||(I=.5),isFinite(P)||(P=.5),isFinite(z)||(z=.5),r.reversedX&&(d=h-1-d,y=h-1-y),r.reversedY&&(m=f-1-m,v=f-1-v),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=m*p,T=v*p,_=d*p*f,b=y*p*f;break;case 4:k=g,A=x,_=d*p,b=y*p,w=m*p*h,T=v*p*h;break;case 3:w=m,T=v,k=g*f,A=x*f,_=d*f*p,b=y*f*p;break;case 2:w=m,T=v,_=d*f,b=y*f,k=g*f*h,A=x*f*h;break;case 1:_=d,b=y,k=g*h,A=x*h,w=m*h*p,T=v*h*p;break;default:_=d,b=y,w=m*h,T=v*h,k=g*h*f,A=x*h*f}var O=i[_+w+k],D=i[_+w+A],R=i[_+T+k],F=i[_+T+A],B=i[b+w+k],N=i[b+w+A],j=i[b+T+k],U=i[b+T+A],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,O,B,I),n.lerp(q,D,N,I),n.lerp(H,R,j,I),n.lerp(G,F,U,I);var Z=n.create(),W=n.create();n.lerp(Z,V,H,P),n.lerp(W,q,G,P);var Y=n.create();return n.lerp(Y,Z,W,z),Y}(e,t,p)},m=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],v=e[0][1],x=e[0][2],_=e[1][0],b=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>_||r<v||r>b||n<x||n>w)},k=10*n.distance(e[0],e[1])/c,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,c=0;c<s;c++){var u=t[c],h=u[0],f=u[1],p=u[2];i[h]||(e.push(h),i[h]=!0),a[f]||(r.push(f),a[f]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),m=l(r),g=l(n),y=Math.min(d,m,g);return isFinite(y)?y:1}(r));for(var C=0;C<E;C++){var L=n.create();n.copy(L,r[C]);var I=[L],P=[],z=d(L),O=L;P.push(z);var D=[],R=m(L,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),g.push({points:I,velocities:P,divergences:D});for(var B=0;B<100*c&&I.length<c&&T(L);){B++;var N=n.clone(z),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,L),z=d(N),n.squaredDistance(O,N)-A>-1e-4*A&&(I.push(N),O=N,P.push(z),R=m(N,z),F=n.length(R),isFinite(F)&&F>S&&(S=F),D.push(F)),L=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],h=[],f=[],p=[],d=[],m=0,g=0,y=i.create(),v=i.create(),x=0;x<o.length;x++){var _=o[x],b=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(b)/a,y=i.create(),n.copy(y,b),y[3]=w;for(var T=0;T<8;T++)p[T]=[_[0],_[1],_[2],T];if(f.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(f[T],p[T],p[k],p[k],f[k],f[T]),h.push(v,y,y,y,v,v),d.push(m,g,g,g,m,m);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=f;f=p,p=M;var S=v;v=y,y=S;var E=m;m=g,g=E}return{positions:c,cells:u,vectors:h,vertexIntensity:d}}(t,r,a,o)})),h=[],f=[],p=[],d=[];for(s=0;s<u.length;s++){var m=u[s],g=h.length;for(h=h.concat(m.positions),p=p.concat(m.vectors),d=d.concat(m.vertexIntensity),c=0;c<m.cells.length;c++){var y=m.cells[c],v=[];f.push(v);for(var x=0;x<y.length;x++)v.push(y[x]+g)}}return{positions:h,cells:f,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return h?U.tubeScale=h:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var c=r(6740),u=r(6405).createMesh;t.exports.createTubeMesh=function(t,e){return u(t,e,{shaders:c,traceType:\"streamtube\"})}},990:function(t,e,r){var n=r(9405),i=r(3236),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\\n  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(localCoordinate, 1.0);\\n  vec4 clipPosition = projection * (view * worldPosition);\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color — in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\\n  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(dataCoordinate, 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}},9499:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=v(e),n=_(e),s=x(e),l=b(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:w,offset:0},{buffer:c,size:3,stride:w,offset:16},{buffer:c,size:3,stride:w,offset:28}]),h=i(e),f=a(e,[{buffer:h,size:4,stride:20,offset:0},{buffer:h,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),m=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);m.minFilter=e.LINEAR,m.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,m,s,l,h,f,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(8828),i=r(2762),a=r(8116),o=r(7766),s=r(1888),l=r(6729),c=r(5298),u=r(9994),h=r(9618),f=r(3711),p=r(6760),d=r(7608),m=r(2478),g=r(6199),y=r(990),v=y.createShader,x=y.createContourShader,_=y.createPickShader,b=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,c,u,f,p,d,m,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=c,this._contourPickShader=u,this._contourBuffer=f,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=m,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=[h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0]),h(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 C=E.prototype;C.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:S,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},C.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},C.isOpaque=function(){return!this.isTransparent()},C.pickSlots=1,C.setPickBase=function(t){this.pickId=t};var L=[0,0,0],I={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 P(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||L,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=I.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 c=I.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return I.showSurface=o,I.showContour=s,I}var z={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},O=T.slice(),D=[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=z;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=D,n.vertexColor=this.vertexColor;var s=O;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 c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=P(n,this);if(u.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=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var h=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,h.bind(),h.uniforms=n;var f=this._contourVAO;for(f.bind(),i=0;i<3;++i)for(h.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(h.uniforms.contourColor=this.highlightColor[i],h.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(h.uniforms.contourColor=this.contourColor[i],h.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(h.uniforms.height=this.contourLevels[i][o],f.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(h.uniforms.model=u.projections[i],h.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){h.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var m=0;m<this.contourLevels[o].length;++m)m===this.highlightLevel[o]?(h.uniforms.contourColor=this.highlightColor[o],h.uniforms.contourTint=this.highlightTint[o]):0!==m&&m-1!==this.highlightLevel[o]||(h.uniforms.contourColor=this.contourColor[o],h.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][m]&&(h.uniforms.height=this.contourLevels[o][m],f.draw(r.LINES,this._contourCounts[o][m],this._contourOffsets[o][m]))}for(f.unbind(),(f=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(h.uniforms.model=n.model,h.uniforms.clipBounds=n.clipBounds,h.uniforms.permutation=A[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),h.uniforms.contourColor=this.dynamicColor[i],h.uniforms.contourTint=this.dynamicTint[i],h.uniforms.height=this.dynamicLevel[i],f.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(h.uniforms.model=u.projections[o],h.uniforms.clipBounds=u.clipBounds[o],f.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));f.unbind()}}C.draw=function(t){return R.call(this,t,!1)},C.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:T,view:T,projection:T,inverseModel:T,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}C.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||T,r.view=t.view||T,r.projection=t.projection||T,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=D;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=P(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=A[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=A[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},C.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var h=u?a:1-a,f=0;f<2;++f)for(var p=i+u,d=s+f,g=h*(f?l:1-l),y=0;y<3;++y)c[y]+=this._field[y].get(p,d)*g;for(var v=this._pickResult.level,x=0;x<3;++x)if(v[x]=m.le(this.contourLevels[x],c[x]),v[x]<0)this.contourLevels[x].length>0&&(v[x]=0);else if(v[x]<this.contourLevels[x].length-1){var _=this.contourLevels[x][v[x]],b=this.contourLevels[x][v[x]+1];Math.abs(_-c[x])>Math.abs(b-c[x])&&(v[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},C.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.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))},C.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]=h(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]=h(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 c=l[o];for(y=0;y<2;++y)if(c.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=h(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=h(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 m=[0,0];m[o]=1,this._field[o]=h(this._field[o].data,[a[0]+2,a[1]+2],m,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var v=this._field,x=h(s.mallocFloat(3*v[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),v[o],\"mirror\");var _=h(s.mallocFloat(3*v[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var b=x.get(0,o,y,0),w=x.get(0,o,y,1),T=x.get(1,o,y,0),A=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=T*S-A*M,C=M*w-S*b,L=b*A-w*T,I=Math.sqrt(E*E+C*C+L*L);I<1e-8?(I=Math.max(Math.abs(E),Math.abs(C),Math.abs(L)))<1e-8?(L=1,C=E=0,I=1):I=1/I:I=1/Math.sqrt(I),_.set(o,y,0,E*I),_.set(o,y,1,C*I),_.set(o,y,2,L*I)}s.free(x.data);var P=[1/0,1/0,1/0],z=[-1/0,-1/0,-1/0],O=1/0,D=-1/0,R=(a[0]-1)*(a[1]-1)*6,F=s.mallocFloat(n.nextPow2(10*R)),N=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+y+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var Z=o+k[H][0],W=y+k[H][1],Y=this._field[0].get(Z+1,W+1),X=this._field[1].get(Z+1,W+1);G=this._field[2].get(Z+1,W+1),E=_.get(Z+1,W+1,0),C=_.get(Z+1,W+1,1),L=_.get(Z+1,W+1,2),t.intensity&&($=t.intensity.get(Z,W));var $=t.intensity?t.intensity.get(Z,W):G+this.objectOffset[2];F[N++]=Z,F[N++]=W,F[N++]=Y,F[N++]=X,F[N++]=G,F[N++]=0,F[N++]=$,F[N++]=E,F[N++]=C,F[N++]=L,P[0]=Math.min(P[0],Y+this.objectOffset[0]),P[1]=Math.min(P[1],X+this.objectOffset[1]),P[2]=Math.min(P[2],G+this.objectOffset[2]),O=Math.min(O,$),z[0]=Math.max(z[0],Y+this.objectOffset[0]),z[1]=Math.max(z[1],X+this.objectOffset[1]),z[2]=Math.max(z[2],G+this.objectOffset[2]),D=Math.max(D,$),U+=1}}for(t.intensityBounds&&(O=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-O)/(D-O);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(_.data),this.bounds=[P,z],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===O&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[O,D]}if(\"levels\"in t){var J=t.levels;for(J=Array.isArray(J[0])?J.slice():[[],[],J],o=0;o<3;++o)J[o]=J[o].slice(),J[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<J[o].length;++y)J[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(J[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<J[o].length;++y)if(J[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=J}if(r){v=this._field,a=this.shape;for(var K=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=f(this._field[Q],tt[o]);et.push(K.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(H=0;H<2;++H){var ot=it.positions[at[H]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ht=0|Math.floor(ut),ft=ut-ht,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var mt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ct:1-ct;for(Z=0|Math.min(Math.max(lt+V,0),a[0]),q=0;q<2;++q){var yt=q?ft:1-ft;if(W=0|Math.min(Math.max(ht+q,0),a[1]),G=dt<2?this._field[mt].get(Z,W):(this.intensity.get(Z,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var vt=gt*yt;nt[dt]+=vt*G}}}if(pt){if(H>0){for(var xt=0;xt<5;++xt)K.pop();U-=1}continue t}K.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 _t=s.mallocFloat(K.length);for(o=0;o<K.length;++o)_t[o]=K[o];this._contourBuffer.update(_t),s.freeFloat(_t)}},C.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)},C.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,c=(o+2)%3,u=this._field[o],h=this._field[l],p=this._field[c],d=f(u,r[o]),m=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<m.length;++e)for(var y=m[e],v=0;v<2;++v){var x=g[y[v]],_=+x[0],b=0|_,w=0|Math.min(b+1,i[0]),T=_-b,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,C=1-E,L=k*C,I=k*E,P=T*C,z=T*E,O=L*h.get(b,M)+I*h.get(b,S)+P*h.get(w,M)+z*h.get(w,S),D=L*p.get(b,M)+I*p.get(b,S)+P*p.get(w,M)+z*p.get(w,S);if(isNaN(O)||isNaN(D)){v&&(n-=1);break}a[2*n+0]=O,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},7766:function(t,e,r){\"use strict\";var n=r(9618),i=r(5298),a=r(1888);t.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");if(o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t),\"number\"==typeof arguments[1])return g(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=c(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new f(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=d(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var h,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}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)h=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var v=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,v,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?i.assign(x,e):u(x,e),h=p.subarray(0,y)}var _=m(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,c,h),l||a.free(p),new f(t,_,o[0],o[1],g,c)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(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 u=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function f(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=f.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function m(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new f(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(\"gl-texture2d: Invalid texture shape\")}else t=[0|t,0|t];return h(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return h(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,h(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=c(t)?t:t.raw;if(l)this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l);else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,c,h){var f=h.dtype,p=h.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var m=0,g=0,y=d(p,h.stride.slice());if(\"float32\"===f?m=t.FLOAT:\"float64\"===f?(m=t.FLOAT,y=!1,f=\"float32\"):\"uint8\"===f?m=t.UNSIGNED_BYTE:(m=t.UNSIGNED_BYTE,y=!1,f=\"uint8\"),2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],h=n(h.data,p,[h.stride[0],h.stride[1],1],h.offset);else{if(3!==p.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===p[2])g=t.ALPHA;else 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i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=c(a,o,s);a/=l,o/=l,s/=l;var u=i[0],h=i[4],f=i[8],p=u*a+h*o+f*s,d=c(u-=a*p,h-=o*p,f-=s*p),m=(u/=d)*e+a*r,g=(h/=d)*e+o*r,y=(f/=d)*e+s*r;this.center.move(t,m,g,y);var v=Math.exp(this.computedRadius[0]);v=Math.max(1e-4,v+n),this.radius.set(t,Math.log(v))},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],h=e[a+8];if(n){var f=Math.abs(s),p=Math.abs(l),d=Math.abs(h),m=Math.max(f,p,d);f===m?(s=s<0?-1:1,l=h=0):d===m?(h=h<0?-1:1,s=l=0):(l=l<0?-1:1,s=h=0)}else{var g=c(s,l,h);s/=g,l/=g,h/=g}var y,v,x=e[o],_=e[o+4],b=e[o+8],w=x*s+_*l+b*h,T=c(x-=s*w,_-=l*w,b-=h*w),k=l*(b/=T)-h*(_/=T),A=h*(x/=T)-s*b,M=s*_-l*x,S=c(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,H,G,Z),this.radius.idle(t),this.up.jump(t,s,l,h),this.right.jump(t,x,_,b),2===a){var 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e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},tr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},tr.prototype.serialize=function(){for(var t=[\"step\",this.input.serialize()],e=0;e<this.labels.length;e++)e>0&&t.push(this.labels[e]),t.push(this.outputs[e].serialize());return t};var rr=Object.freeze({__proto__:null,number:er,color:function(t,e,r){return new ce(er(t.r,e.r,r),er(t.g,e.g,r),er(t.b,e.b,r),er(t.a,e.a,r))},array:function(t,e,r){return t.map((function(t,n){return er(t,e[n],r)}))}}),nr=.95047,ir=1,ar=1.08883,or=4/29,sr=6/29,lr=3*sr*sr,cr=sr*sr*sr,ur=Math.PI/180,hr=180/Math.PI;function fr(t){return t>cr?Math.pow(t,1/3):t/lr+or}function pr(t){return t>sr?t*t*t:lr*(t-or)}function dr(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function mr(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function gr(t){var e=mr(t.r),r=mr(t.g),n=mr(t.b),i=fr((.4124564*e+.3575761*r+.1804375*n)/nr),a=fr((.2126729*e+.7151522*r+.072175*n)/ir);return{l:116*a-16,a:500*(i-a),b:200*(a-fr((.0193339*e+.119192*r+.9503041*n)/ar)),alpha:t.a}}function yr(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=ir*pr(e),r=nr*pr(r),n=ar*pr(n),new ce(dr(3.2404542*r-1.5371385*e-.4985314*n),dr(-.969266*r+1.8760108*e+.041556*n),dr(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function vr(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var xr={forward:gr,reverse:yr,interpolate:function(t,e,r){return{l:er(t.l,e.l,r),a:er(t.a,e.a,r),b:er(t.b,e.b,r),alpha:er(t.alpha,e.alpha,r)}}},_r={forward:function(t){var e=gr(t),r=e.l,n=e.a,i=e.b,a=Math.atan2(i,n)*hr;return{h:a<0?a+360:a,c:Math.sqrt(n*n+i*i),l:r,alpha:t.a}},reverse:function(t){var e=t.h*ur,r=t.c;return 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a=Qe(e,n),o=e[a],s=e[a+1],l=wr.interpolationFactor(this.interpolation,n,o,s),c=r[a].evaluate(t),u=r[a+1].evaluate(t);return\"interpolate\"===this.operator?rr[this.type.kind.toLowerCase()](c,u,l):\"interpolate-hcl\"===this.operator?_r.reverse(_r.interpolate(_r.forward(c),_r.forward(u),l)):xr.reverse(xr.interpolate(xr.forward(c),xr.forward(u),l))},wr.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},wr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},wr.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var kr=function(t,e){this.type=t,this.args=e};kr.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!l)return null;r=r||l.type,i.push(l)}var c=n&&i.some((function(t){return ie(n,t.type)}));return new kr(c?Jt:r,i)},kr.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length&&(n++,(r=a[i].evaluate(t))&&r instanceof pe&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null===r);i+=1);return r},kr.prototype.eachChild=function(t){this.args.forEach(t)},kr.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},kr.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var Ar=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};Ar.prototype.evaluate=function(t){return this.result.evaluate(t)},Ar.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1)t(r[e][1]);t(this.result)},Ar.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new Ar(r,o):null},Ar.prototype.outputDefined=function(){return this.result.outputDefined()},Ar.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return t.push(this.result.serialize()),t};var Mr=function(t,e,r){this.type=t,this.index=e,this.input=r};Mr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Zt),n=e.parse(t[2],2,ee(e.expectedType||Jt));if(!r||!n)return null;var i=n.type;return new Mr(i.itemType,r,n)},Mr.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new xe(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new xe(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new xe(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},Mr.prototype.eachChild=function(t){t(this.index),t(this.input)},Mr.prototype.outputDefined=function(){return!1},Mr.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var Sr=function(t,e){this.type=Yt,this.needle=t,this.haystack=e};Sr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Jt),n=e.parse(t[2],2,Jt);return r&&n?ae(r.type,[Yt,Wt,Zt,Gt,Jt])?new Sr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(r.type)+\" instead\"):null},Sr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!oe(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new xe(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(ge(e))+\" instead.\");if(!oe(r,[\"string\",\"array\"]))throw new xe(\"Expected second argument to be of type array or string, but found \"+re(ge(r))+\" instead.\");return r.indexOf(e)>=0},Sr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},Sr.prototype.outputDefined=function(){return!0},Sr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var Er=function(t,e,r){this.type=Zt,this.needle=t,this.haystack=e,this.fromIndex=r};Er.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Jt),n=e.parse(t[2],2,Jt);if(!r||!n)return null;if(!ae(r.type,[Yt,Wt,Zt,Gt,Jt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Zt);return i?new Er(r,n,i):null}return new Er(r,n)},Er.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!oe(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new xe(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(ge(e))+\" instead.\");if(!oe(r,[\"string\",\"array\"]))throw new xe(\"Expected second argument to be of type array or string, but found \"+re(ge(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},Er.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},Er.prototype.outputDefined=function(){return!1},Er.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var Cr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};Cr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of 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t[0],t[1].outputDefined()}))&&this.otherwise.outputDefined()},Lr.prototype.serialize=function(){var t=[\"case\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var Ir=function(t,e,r,n){this.type=t,this.input=e,this.beginIndex=r,this.endIndex=n};function Pr(t,e){return\"==\"===t||\"!=\"===t?\"boolean\"===e.kind||\"string\"===e.kind||\"number\"===e.kind||\"null\"===e.kind||\"value\"===e.kind:\"string\"===e.kind||\"number\"===e.kind||\"value\"===e.kind}function zr(t,e,r,n){return 0===n.compare(e,r)}function Or(t,e,r){var n=\"==\"!==t&&\"!=\"!==t;return function(){function i(t,e,r){this.type=Yt,this.lhs=t,this.rhs=e,this.collator=r,this.hasUntypedArgument=\"value\"===t.type.kind||\"value\"===e.type.kind}return i.parse=function(t,e){if(3!==t.length&&4!==t.length)return e.error(\"Expected two or three arguments.\");var r=t[0],a=e.parse(t[1],1,Jt);if(!a)return null;if(!Pr(r,a.type))return e.concat(1).error('\"'+r+\"\\\" comparisons are not supported for type 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Xr([new qt(\"\",\"data expressions not supported\")]);var i=Xe(r,[\"zoom\"]);if(!i&&!Jr(e))return Xr([new qt(\"\",\"zoom expressions not supported\")]);var a=gn(r);if(!a&&!i)return Xr([new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')]);if(a instanceof qt)return Xr([a]);if(a instanceof wr&&!Kr(e))return Xr([new qt(\"\",'\"interpolate\" expressions cannot be used with this property')]);if(!a)return Yr(new fn(n?\"constant\":\"source\",t.value));var o=a instanceof wr?a.interpolation:void 0;return Yr(new pn(n?\"camera\":\"composite\",t.value,a.labels,o))}pn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},pn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},pn.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?wr.interpolationFactor(this.interpolationType,t,e,r):0};var mn=function(t,e){this._parameters=t,this._specification=e,jt(this,rn(this._parameters,this._specification))};function gn(t){var e=null;if(t instanceof Ar)e=gn(t.result);else if(t instanceof kr)for(var r=0,n=t.args;r<n.length;r+=1){var i=n[r];if(e=gn(i))break}else(t instanceof tr||t instanceof wr)&&t.input instanceof Ee&&\"zoom\"===t.input.name&&(e=t);return e instanceof qt||t.eachChild((function(t){var r=gn(t);r instanceof qt?e=r:!e&&r?e=new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.'):e&&r&&e!==r&&(e=new qt(\"\",'Only one zoom-based \"step\" or \"interpolate\" subexpression may be used in an expression.'))})),e}function yn(t){var e=t.key,r=t.value,n=t.valueSpec||{},i=t.objectElementValidators||{},a=t.style,o=t.styleSpec,s=[],l=Qr(r);if(\"object\"!==l)return[new Bt(e,r,\"object expected, \"+l+\" found\")];for(var c in r){var u=c.split(\".\")[0],h=n[u]||n[\"*\"],f=void 0;if(i[u])f=i[u];else if(n[u])f=Hn;else if(i[\"*\"])f=i[\"*\"];else{if(!n[\"*\"]){s.push(new Bt(e,r[c],'unknown property \"'+c+'\"'));continue}f=Hn}s=s.concat(f({key:(e?e+\".\":e)+c,value:r[c],valueSpec:h,style:a,styleSpec:o,object:r,objectKey:c},r))}for(var p in n)i[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new Bt(e,r,'missing required property \"'+p+'\"'));return s}function vn(t){var e=t.value,r=t.valueSpec,n=t.style,i=t.styleSpec,a=t.key,o=t.arrayElementValidator||Hn;if(\"array\"!==Qr(e))return[new Bt(a,e,\"array expected, \"+Qr(e)+\" found\")];if(r.length&&e.length!==r.length)return[new Bt(a,e,\"array length \"+r.length+\" expected, length \"+e.length+\" found\")];if(r[\"min-length\"]&&e.length<r[\"min-length\"])return[new Bt(a,e,\"array length at least \"+r[\"min-length\"]+\" expected, length \"+e.length+\" found\")];var s={type:r.value,values:r.values};i.$version<7&&(s.function=r.function),\"object\"===Qr(r.value)&&(s=r.value);for(var l=[],c=0;c<e.length;c++)l=l.concat(o({array:e,arrayIndex:c,value:e[c],valueSpec:s,style:n,styleSpec:i,key:a+\"[\"+c+\"]\"}));return l}function xn(t){var e=t.key,r=t.value,n=t.valueSpec,i=Qr(r);return\"number\"===i&&r!=r&&(i=\"NaN\"),\"number\"!==i?[new Bt(e,r,\"number expected, \"+i+\" found\")]:\"minimum\"in n&&r<n.minimum?[new Bt(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Bt(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function _n(t){var e,r,n,i=t.valueSpec,a=Ut(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,c=\"array\"===Qr(t.value.stops)&&\"array\"===Qr(t.value.stops[0])&&\"object\"===Qr(t.value.stops[0][0]),u=yn({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Bt(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(vn({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:h})),\"array\"===Qr(r)&&0===r.length&&e.push(new Bt(t.key,r,\"array must have at least one stop\")),e},default:function(t){return Hn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&u.push(new Bt(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||u.push(new Bt(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!Kr(t.valueSpec)&&u.push(new Bt(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!$r(t.valueSpec)?u.push(new Bt(t.key,t.value,\"property functions not supported\")):s&&!Jr(t.valueSpec)&&u.push(new Bt(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!c||void 0!==t.value.property||u.push(new Bt(t.key,t.value,'\"property\" property is required')),u;function h(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Qr(a))return[new Bt(s,a,\"array expected, \"+Qr(a)+\" found\")];if(2!==a.length)return[new Bt(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(c){if(\"object\"!==Qr(a[0]))return[new Bt(s,a,\"object expected, \"+Qr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Bt(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Bt(s,a,\"object stop key must have value\")];if(n&&n>Ut(a[0].zoom))return[new Bt(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ut(a[0].zoom)!==n&&(n=Ut(a[0].zoom),r=void 0,o={}),e=e.concat(yn({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:xn,value:f}}))}else e=e.concat(f({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return un(Vt(a[1]))?e.concat([new Bt(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(Hn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function f(t,n){var s=Qr(t.value),l=Ut(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Bt(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Bt(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var u=\"number expected, \"+s+\" found\";return $r(i)&&void 0===a&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Bt(t.key,c,u)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Bt(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Bt(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Bt(t.key,c,\"integer expected, found \"+l)]}}function bn(t){var e=(\"property\"===t.expressionContext?dn:hn)(Vt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Bt(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new Bt(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!Ye(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Ye(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Xe(r,[\"zoom\",\"feature-state\"]))return[new Bt(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!We(r))return[new Bt(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function wn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+n.values.join(\", \")+\"], \"+JSON.stringify(r)+\" found\")):-1===Object.keys(n.values).indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+Object.keys(n.values).join(\", \")+\"], \"+JSON.stringify(r)+\" found\")),i}function Tn(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case\"has\":return t.length>=2&&\"$id\"!==t[1]&&\"$type\"!==t[1];case\"in\":return t.length>=3&&(\"string\"!=typeof t[1]||Array.isArray(t[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\"any\":case\"all\":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!Tn(n)&&\"boolean\"!=typeof n)return!1}return!0;default:return!0}}mn.deserialize=function(t){return new mn(t._parameters,t._specification)},mn.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var kn={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function An(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};Tn(t)||(t=En(t));var e=hn(t,kn);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:Sn(t)}}function Mn(t,e){return t<e?-1:t>e?1:0}function Sn(t){if(!Array.isArray(t))return!1;if(\"within\"===t[0])return!0;for(var e=1;e<t.length;e++)if(Sn(t[e]))return!0;return!1}function En(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?Cn(t[1],t[2],\"==\"):\"!=\"===r?Pn(Cn(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Cn(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(En))):\"all\"===r?[\"all\"].concat(t.slice(1).map(En)):\"none\"===r?[\"all\"].concat(t.slice(1).map(En).map(Pn)):\"in\"===r?Ln(t[1],t.slice(2)):\"!in\"===r?Pn(Ln(t[1],t.slice(2))):\"has\"===r?In(t[1]):\"!has\"===r?Pn(In(t[1])):\"within\"!==r||t}function Cn(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function Ln(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(Mn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function In(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function Pn(t){return[\"!\",t]}function zn(t){return Tn(Vt(t.value))?bn(jt({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):On(t)}function On(t){var e=t.value,r=t.key;if(\"array\"!==Qr(e))return[new Bt(r,e,\"array expected, \"+Qr(e)+\" found\")];var n,i=t.styleSpec,a=[];if(e.length<1)return[new Bt(r,e,\"filter array must have at least 1 element\")];switch(a=a.concat(wn({key:r+\"[0]\",value:e[0],valueSpec:i.filter_operator,style:t.style,styleSpec:t.styleSpec})),Ut(e[0])){case\"<\":case\"<=\":case\">\":case\">=\":e.length>=2&&\"$type\"===Ut(e[1])&&a.push(new Bt(r,e,'\"$type\" cannot be use with operator \"'+e[0]+'\"'));case\"==\":case\"!=\":3!==e.length&&a.push(new Bt(r,e,'filter array for operator \"'+e[0]+'\" must have 3 elements'));case\"in\":case\"!in\":e.length>=2&&\"string\"!==(n=Qr(e[1]))&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));for(var o=2;o<e.length;o++)n=Qr(e[o]),\"$type\"===Ut(e[1])?a=a.concat(wn({key:r+\"[\"+o+\"]\",value:e[o],valueSpec:i.geometry_type,style:t.style,styleSpec:t.styleSpec})):\"string\"!==n&&\"number\"!==n&&\"boolean\"!==n&&a.push(new Bt(r+\"[\"+o+\"]\",e[o],\"string, number, or boolean expected, \"+n+\" found\"));break;case\"any\":case\"all\":case\"none\":for(var s=1;s<e.length;s++)a=a.concat(On({key:r+\"[\"+s+\"]\",value:e[s],style:t.style,styleSpec:t.styleSpec}));break;case\"has\":case\"!has\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"string\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));break;case\"within\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"object\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"object expected, \"+n+\" found\"))}return a}function Dn(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Hn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new Bt(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Qr(a)&&$r(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new Bt(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var h=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&h.push(new Bt(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&tn(Vt(a))&&\"identity\"===Ut(a.type)&&h.push(new Bt(r,a,'\"text-font\" does not support identity functions'))),h.concat(Hn({key:t.key,value:a,valueSpec:u,style:n,styleSpec:i,expressionContext:\"property\",propertyType:e,propertyKey:o}))}function Rn(t){return Dn(t,\"paint\")}function Fn(t){return Dn(t,\"layout\")}function Bn(t){var e=[],r=t.value,n=t.key,i=t.style,a=t.styleSpec;r.type||r.ref||e.push(new Bt(n,r,'either \"type\" or \"ref\" is required'));var o,s=Ut(r.type),l=Ut(r.ref);if(r.id)for(var c=Ut(r.id),u=0;u<t.arrayIndex;u++){var h=i.layers[u];Ut(h.id)===c&&e.push(new Bt(n,r.id,'duplicate layer id \"'+r.id+'\", previously used at line '+h.id.__line__))}if(\"ref\"in r)[\"type\",\"source\",\"source-layer\",\"filter\",\"layout\"].forEach((function(t){t in r&&e.push(new Bt(n,r[t],'\"'+t+'\" is prohibited for ref layers'))})),i.layers.forEach((function(t){Ut(t.id)===l&&(o=t)})),o?o.ref?e.push(new Bt(n,r.ref,\"ref cannot reference another ref layer\")):s=Ut(o.type):e.push(new Bt(n,r.ref,'ref layer \"'+l+'\" not found'));else if(\"background\"!==s)if(r.source){var f=i.sources&&i.sources[r.source],p=f&&Ut(f.type);f?\"vector\"===p&&\"raster\"===s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new Bt(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&f.lineMetrics||e.push(new Bt(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new Bt(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new Bt(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new Bt(n,r,'missing required property \"source\"'));return e=e.concat(yn({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(){return[]},type:function(){return Hn({key:n+\".type\",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:\"type\"})},filter:zn,layout:function(t){return yn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return Fn(jt({layerType:s},t))}}})},paint:function(t){return yn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return Rn(jt({layerType:s},t))}}})}}})),e}function Nn(t){var e=t.value,r=t.key,n=Qr(e);return\"string\"!==n?[new Bt(r,e,\"string expected, \"+n+\" found\")]:[]}var jn={promoteId:function(t){var e=t.key,r=t.value;if(\"string\"===Qr(r))return Nn({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,Nn({key:e+\".\"+i,value:r[i]}));return n}};function Un(t){var e=t.value,r=t.key,n=t.styleSpec,i=t.style;if(!e.type)return[new Bt(r,e,'\"type\" is required')];var a,o=Ut(e.type);switch(o){case\"vector\":case\"raster\":case\"raster-dem\":return yn({key:r,value:e,valueSpec:n[\"source_\"+o.replace(\"-\",\"_\")],style:t.style,styleSpec:n,objectElementValidators:jn});case\"geojson\":if(a=yn({key:r,value:e,valueSpec:n.source_geojson,style:i,styleSpec:n,objectElementValidators:jn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],c=l[0],u=l[1],h=\"string\"==typeof c?[c,[\"accumulated\"],[\"get\",s]]:c;a.push.apply(a,bn({key:r+\".\"+s+\".map\",value:u,expressionContext:\"cluster-map\"})),a.push.apply(a,bn({key:r+\".\"+s+\".reduce\",value:h,expressionContext:\"cluster-reduce\"}))}return a;case\"video\":return yn({key:r,value:e,valueSpec:n.source_video,style:i,styleSpec:n});case\"image\":return yn({key:r,value:e,valueSpec:n.source_image,style:i,styleSpec:n});case\"canvas\":return[new Bt(r,null,\"Please use runtime APIs to add canvas 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0===e?t.specification.default:e,t.specification)};Di.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},Di.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var Ri=function(t){this.property=t,this.value=new Di(t,void 0)};Ri.prototype.transitioned=function(t,e){return new Bi(this.property,this.value,e,p({},t.transition,this.transition),t.now)},Ri.prototype.untransitioned=function(){return new Bi(this.property,this.value,null,{},0)};var Fi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};Fi.prototype.getValue=function(t){return w(this._values[t].value.value)},Fi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].value=new Di(this._values[t].property,null===e?void 0:w(e))},Fi.prototype.getTransition=function(t){return w(this._values[t].transition)},Fi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].transition=w(e)||void 0},Fi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},Fi.prototype.transitioned=function(t,e){for(var r=new Ni(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},Fi.prototype.untransitioned=function(){for(var t=new Ni(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var Bi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};Bi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var Ni=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ni.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},Ni.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var ji=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ji.prototype.getValue=function(t){return w(this._values[t].value)},ji.prototype.setValue=function(t,e){this._values[t]=new Di(this._values[t].property,null===e?void 0:w(e))},ji.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},ji.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var Ui=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Ui.prototype.isConstant=function(){return\"constant\"===this.value.kind},Ui.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},Ui.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var Vi=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};Vi.prototype.get=function(t){return this._values[t]};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},qi.prototype.interpolate=function(t,e,r){var n=rr[this.specification.type];return n?n(t,e,r):t};var Hi=function(t,e){this.specification=t,this.overrides=e};Hi.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Ui(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Ui(this,t.expression,e)},Hi.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Ui(this,{kind:\"constant\",value:void 0},t.parameters);var n=rr[this.specification.type];return n?new Ui(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Hi.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new Ui(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new Ui(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new Ui(this,{kind:\"constant\",value:s},e)}return new Ui(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Hi),Zi=function(t){this.specification=t};Zi.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new Oi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new Oi(Math.floor(e.zoom),e)),t.expression.evaluate(new Oi(Math.floor(e.zoom+1),e)),e)}},Zi.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Zi.prototype.interpolate=function(t){return t};var Wi=function(t){this.specification=t};Wi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Wi.prototype.interpolate=function(){return!1};var Yi=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new Di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new Ri(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};oi(\"DataDrivenProperty\",Hi),oi(\"DataConstantProperty\",qi),oi(\"CrossFadedDataDrivenProperty\",Gi),oi(\"CrossFadedProperty\",Zi),oi(\"ColorRampProperty\",Wi);var Xi=\"-transition\",$i=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new ji(r.layout)),r.paint)){for(var n in this._transitionablePaint=new Fi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new Vi(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(Kn,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return x(t,Xi)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Jn,n,t,e,r))return!1}if(x(t,Xi))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),b(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Qn(this,t.call(Xn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Ft,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof Ui&&$r(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(Rt),Ji={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ki=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Qi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function ta(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Ji[i].BYTES_PER_ELEMENT),o=r=ea(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:ea(r,Math.max(n,e)),alignment:e}}function ea(t,e){return Math.ceil(t/e)*e}Qi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Qi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Qi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Qi.prototype.clear=function(){this.length=0},Qi.prototype.resize=function(t){this.reserve(t),this.length=t},Qi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Qi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var ra=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Qi);ra.prototype.bytesPerElement=4,oi(\"StructArrayLayout2i4\",ra);var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Qi);na.prototype.bytesPerElement=8,oi(\"StructArrayLayout4i8\",na);var ia=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Qi);ia.prototype.bytesPerElement=12,oi(\"StructArrayLayout2i4i12\",ia);var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Qi);aa.prototype.bytesPerElement=8,oi(\"StructArrayLayout2i4ub8\",aa);var oa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Qi);oa.prototype.bytesPerElement=8,oi(\"StructArrayLayout2f8\",oa);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._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var h=10*t;return this.uint16[h+0]=e,this.uint16[h+1]=r,this.uint16[h+2]=n,this.uint16[h+3]=i,this.uint16[h+4]=a,this.uint16[h+5]=o,this.uint16[h+6]=s,this.uint16[h+7]=l,this.uint16[h+8]=c,this.uint16[h+9]=u,t},e}(Qi);sa.prototype.bytesPerElement=20,oi(\"StructArrayLayout10ui20\",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,h){var f=this.length;return this.resize(f+1),this.emplace(f,t,e,r,n,i,a,o,s,l,c,u,h)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,h,f){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=h,this.int16[p+11]=f,t},e}(Qi);la.prototype.bytesPerElement=24,oi(\"StructArrayLayout4i4ui4i24\",la);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Qi);ca.prototype.bytesPerElement=12,oi(\"StructArrayLayout3f12\",ca);var ua=function(t){function e(){t.apply(this,arguments)}return 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this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,h=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[h+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Qi);ha.prototype.bytesPerElement=20,oi(\"StructArrayLayout6i1ul2ui20\",ha);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return 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this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return 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so=function(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((function(t){return\"u_\"+t+\"_t\"})),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?4:2,offset:0}})),this.paintVertexArray=new a};so.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.expression.evaluate(new Oi(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new Oi(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)},so.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)},so.prototype._setPaintValue=function(t,e,r,n){if(\"color\"===this.type)for(var i=no(r),a=no(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,i[0],i[1],a[0],a[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},so.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},so.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},so.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=h(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},so.prototype.getBinding=function(t,e,r){return new $a(t,e)};var lo=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};lo.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},lo.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},lo.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],c=n[o];if(s&&l&&c)for(var u=t;u<e;u++)this.zoomInPaintVertexArray.emplace(u,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(u,l.tl[0],l.tl[1],l.br[0],l.br[1],c.tl[0],c.tl[1],c.br[0],c.br[1],l.pixelRatio,c.pixelRatio)}},lo.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Fa.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Fa.members,this.expression.isStateDependent))},lo.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var co=function(t,e,r){this.binders={},this._buffers=[];var n=[];for(var i in t.paint._values)if(r(i)){var a=t.paint.get(i);if(a instanceof Ui&&$r(a.property.specification)){var o=ho(i,t.type),s=a.value,l=a.property.specification.type,c=a.property.useIntegerZoom,u=a.property.specification[\"property-type\"],h=\"cross-faded\"===u||\"cross-faded-data-driven\"===u;if(\"constant\"===s.kind)this.binders[i]=h?new ao(s.value,o):new io(s.value,o,l),n.push(\"/u_\"+i);else if(\"source\"===s.kind||h){var f=fo(i,l,\"source\");this.binders[i]=h?new lo(s,l,c,e,f,t.id):new oo(s,o,l,f),n.push(\"/a_\"+i)}else{var p=fo(i,l,\"composite\");this.binders[i]=new so(s,o,l,c,e,p),n.push(\"/z_\"+i)}}}this.cacheKey=n.sort().join(\"\")};co.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof oo||e instanceof so?e.maxValue:0},co.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof oo||o instanceof so||o instanceof lo)&&o.populatePaintArray(t,e,r,n,i)}},co.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof ao&&n.setConstantPatternPositions(t,e)}},co.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var c=l[s],u=r.feature(c.index);for(var h in this.binders){var f=this.binders[h];if((f instanceof oo||f instanceof so||f instanceof lo)&&!0===f.expression.isStateDependent){var p=n.paint.get(h);f.expression=p.value,f.updatePaintArray(c.start,c.end,u,t[o],i),a=!0}}}return a},co.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof io||r instanceof ao)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},co.prototype.getBinderAttributes=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof oo||r instanceof so)for(var n=0;n<r.paintVertexAttributes.length;n++)t.push(r.paintVertexAttributes[n].name);else if(r instanceof lo)for(var i=0;i<Fa.members.length;i++)t.push(Fa.members[i].name)}return t},co.prototype.getBinderUniforms=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof io||r instanceof ao||r instanceof so)for(var n=0,i=r.uniformNames;n<i.length;n+=1){var a=i[n];t.push(a)}}return t},co.prototype.getPaintVertexBuffers=function(){return this._buffers},co.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof io||i instanceof ao||i instanceof so)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},co.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,c=o.binding;this.binders[l].setUniform(c,n,r.get(l),s)}},co.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof lo){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof oo||r instanceof so)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},co.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof oo||r instanceof so||r instanceof lo)&&r.upload(t)}this.updatePaintBuffers()},co.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof oo||e instanceof so||e instanceof lo)&&e.destroy()}};var uo=function(t,e,r){void 0===r&&(r=function(){return!0}),this.programConfigurations={};for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.programConfigurations[a.id]=new co(a,e,r)}this.needsUpload=!1,this._featureMap=new qa,this._bufferOffset=0};function ho(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function fo(t,e,r){var n={color:{source:oa,composite:Ta},number:{source:va,composite:oa}},i=function(t){return{\"line-pattern\":{source:sa,composite:sa},\"fill-pattern\":{source:sa,composite:sa},\"fill-extrusion-pattern\":{source:sa,composite:sa}}[t]}(t);return 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c=t.readVarint();n=7&c,i=c>>3}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},Ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},Ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=Ws.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var h=[];for(n=0;n<l.length;n++)h[n]=l[n][0];u(l=h);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=Xs(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c=\"Multi\"+c;var f={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(f.id=this.id),f};var $s=Js;function Js(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Ks,this,e),this.length=this._features.length}function Ks(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Qs(t,e,r){if(3===t){var n=new $s(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Js.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Zs(this._pbf,e,this.extent,this._keys,this._values)};var tl={VectorTile:function(t,e){this.layers=t.readFields(Qs,{},e)},VectorTileFeature:Zs,VectorTileLayer:$s},el=tl.VectorTileFeature.types,rl=Math.pow(2,13);function nl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*rl)+o,i*rl*2,a*rl*2,Math.round(s))}var il=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new ia,this.indexArray=new ma,this.programConfigurations=new uo(t.layers,t.zoom),this.segments=new Da,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function al(t,e){return t.x===e.x&&(t.x<0||t.x>po)||t.y===e.y&&(t.y<0||t.y>po)}il.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=Ns(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,h=vo(o,u);if(this.layers[0]._featureFilter.filter(new Oi(this.zoom),h,r)){var f={id:s,sourceLayerIndex:c,index:l,geometry:u?h.geometry:yo(o),properties:o.properties,type:o.type,patterns:{}};this.hasPattern?this.features.push(js(\"fill-extrusion\",this.layers,f,this.zoom,e)):this.addFeature(f,f.geometry,l,r,{}),e.featureIndex.insert(o,f.geometry,l,c,this.index,!0)}}},il.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},il.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},il.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},il.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},il.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Gs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},il.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},il.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Fs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1)l+=u[c].length;for(var h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),f=0,p=s;f<p.length;f+=1){var d=p[f];if(0!==d.length&&!((P=d).every((function(t){return t.x<0}))||P.every((function(t){return t.x>po}))||P.every((function(t){return t.y<0}))||P.every((function(t){return t.y>po}))))for(var m=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var v=d[g-1];if(!al(y,v)){h.vertexLength+4>Da.MAX_VERTEX_ARRAY_LENGTH&&(h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(v)._perp()._unit(),_=v.dist(y);m+_>32768&&(m=0),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,m),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,m),m+=_,nl(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,m),nl(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,m);var b=h.vertexLength;this.indexArray.emplaceBack(b,b+2,b+1),this.indexArray.emplaceBack(b+1,b+2,b+3),h.vertexLength+=4,h.primitiveLength+=2}}}}if(h.vertexLength+l>Da.MAX_VERTEX_ARRAY_LENGTH&&(h=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===el[t.type]){for(var w=[],T=[],k=h.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var C=S[E];nl(this.layoutVertexArray,C.x,C.y,0,0,1,1,0),w.push(C.x),w.push(C.y)}}}for(var L=as(w,T),I=0;I<L.length;I+=3)this.indexArray.emplaceBack(k+L[I],k+L[I+2],k+L[I+1]);h.primitiveLength+=L.length/3,h.vertexLength+=l}}var P;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},oi(\"FillExtrusionBucket\",il,{omit:[\"layers\",\"features\"]});var ol={paint:new Yi({\"fill-extrusion-opacity\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Gi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},sl=function(t){function e(e){t.call(this,e,ol)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new il(t)},e.prototype.queryRadius=function(){return zo(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var c=Oo(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),h=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),f=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,n,1];qo(c,c,e),i.push(new a(c[0]/c[3],c[1]/c[3]))}return i}(c,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,h=n[8]*r,f=n[9]*r,p=n[10]*r,d=n[11]*r,m=0,g=t;m<g.length;m+=1){for(var y=[],v=[],x=0,_=g[m];x<_.length;x+=1){var b=_[x],w=b.x,T=b.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+c,C=S+u,L=k+h,I=A+f,P=M+p,z=S+d,O=new a((k+s)/C,(A+l)/C);O.z=E/C,y.push(O);var D=new a(L/z,I/z);D.z=P/z,v.push(D)}i.push(y),o.push(v)}return[i,o]}(n,h,u,l);return function(t,e,r){var n=1/0;To(r,e)&&(n=cl(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],c=a[s+1],u=o[s],h=[l,c,o[s+1],u,l];bo(r,h)&&(n=Math.min(n,cl(r,h)))}return n!==1/0&&n}(p[0],p[1],f)},e}($i);function ll(t,e){return t.x*e.x+t.y*e.y}function cl(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=ll(s,s),h=ll(s,l),f=ll(l,l),p=ll(c,s),d=ll(c,l),m=u*f-h*h,g=(f*p-h*d)/m,y=(u*d-h*p)/m,v=1-g-y,x=i.z*v+r.z*g+a.z*y;if(isFinite(x))return x}return 1/0}for(var _=1/0,b=0,w=e;b<w.length;b+=1){var T=w[b];_=Math.min(_,T.z)}return _}var ul=ta([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,hl=ta([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]).members,fl=tl.VectorTileFeature.types,pl=Math.cos(Math.PI/180*37.5),dl=Math.pow(2,14)/.5,ml=function(t){var e=this;this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach((function(t){e.gradients[t.id]={}})),this.layoutVertexArray=new aa,this.layoutVertexArray2=new oa,this.indexArray=new ma,this.programConfigurations=new uo(t.layers,t.zoom),this.segments=new Da,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};ml.prototype.populate=function(t,e,r){this.hasPattern=Ns(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,h=s.sourceLayerIndex,f=this.layers[0]._featureFilter.needGeometry,p=vo(l,f);if(this.layers[0]._featureFilter.filter(new Oi(this.zoom),p,r)){var d=n?n.evaluate(p,{},r):void 0,m={id:c,properties:l.properties,type:l.type,sourceLayerIndex:h,index:u,geometry:f?p.geometry:yo(l),patterns:{},sortKey:d};i.push(m)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var v=y[g],x=v,_=x.geometry,b=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=js(\"line\",this.layers,v,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(v,_,b,r,{});var k=t[b].feature;e.featureIndex.insert(k,_,b,w,this.index)}},ml.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},ml.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},ml.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},ml.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},ml.prototype.upload=function(t){this.uploaded||(0!==this.layoutVertexArray2.length&&(this.layoutVertexBuffer2=t.createVertexBuffer(this.layoutVertexArray2,hl)),this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,ul),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},ml.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},ml.prototype.lineFeatureClips=function(t){if(t.properties&&t.properties.hasOwnProperty(\"mapbox_clip_start\")&&t.properties.hasOwnProperty(\"mapbox_clip_end\"))return{start:+t.properties.mapbox_clip_start,end:+t.properties.mapbox_clip_end}},ml.prototype.addFeature=function(t,e,r,n,i){var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(t);for(var u=0,h=e;u<h.length;u+=1){var f=h[u];this.addLine(f,t,o,s,l,c)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},ml.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}for(var s=\"Polygon\"===fl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var u,h=this.overscaling<=16?15*po/(512*this.overscaling):0,f=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,m=void 0,g=void 0;this.e1=this.e2=-1,s&&(u=t[l-2],g=t[c].sub(u)._unit()._perp());for(var y=c;y<l;y++)if(!(d=y===l-1?s?t[c+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(m=g),u&&(p=u),u=t[y],g=d?d.sub(u)._unit()._perp():m;var v=(m=m||g).add(g);0===v.x&&0===v.y||v._unit();var x=m.x*g.x+m.y*g.y,_=v.x*g.x+v.y*g.y,b=0!==_?1/_:1/0,w=2*Math.sqrt(2-2*_),T=_<pl&&p&&d,k=m.x*g.y-m.y*g.x>0;if(T&&y>c){var A=u.dist(p);if(A>2*h){var M=u.sub(u.sub(p)._mult(h/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,m,0,0,f),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(b<a?E=\"miter\":b<=2&&(E=\"fakeround\")),\"miter\"===E&&b>i&&(E=\"bevel\"),\"bevel\"===E&&(b>2&&(E=\"flipbevel\"),b<i&&(E=\"miter\")),p&&this.updateDistance(p,u),\"miter\"===E)v._mult(b),this.addCurrentVertex(u,v,0,0,f);else if(\"flipbevel\"===E){if(b>100)v=g.mult(-1);else{var C=b*m.add(g).mag()/m.sub(g).mag();v._perp()._mult(C*(k?-1:1))}this.addCurrentVertex(u,v,0,0,f),this.addCurrentVertex(u,v.mult(-1),0,0,f)}else if(\"bevel\"===E||\"fakeround\"===E){var L=-Math.sqrt(b*b-1),I=k?L:0,P=k?0:L;if(p&&this.addCurrentVertex(u,m,I,P,f),\"fakeround\"===E)for(var z=Math.round(180*w/Math.PI/20),O=1;O<z;O++){var D=O/z;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(m)._mult(D)._add(m)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,f)}d&&this.addCurrentVertex(u,g,-I,-P,f)}else if(\"butt\"===E)this.addCurrentVertex(u,v,0,0,f);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(u,v,B,B,f)}else\"round\"===E&&(p&&(this.addCurrentVertex(u,m,0,0,f),this.addCurrentVertex(u,m,1,1,f,!0)),d&&(this.addCurrentVertex(u,g,-1,-1,f,!0),this.addCurrentVertex(u,g,0,0,f)));if(T&&y<l-1){var N=u.dist(d);if(N>2*h){var j=u.add(d.sub(u)._mult(h/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,g,0,0,f),u=j}}}}},ml.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>dl/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},ml.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*(this.lineClips?this.scaledDistance*(dl-1):this.scaledDistance);if(this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6),this.lineClips){var u=(this.scaledDistance-this.lineClips.start)/(this.lineClips.end-this.lineClips.start);this.layoutVertexArray2.emplaceBack(u,this.lineClipsArray.length)}var 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r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Nl(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),Il(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),Il(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Nl(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,zl.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,jl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ul,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,Hl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Vl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,ql,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,Gl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,Zl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,Wl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,Yl,e)},writeBytesField:function(t,e){this.writeTag(t,zl.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,zl.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,zl.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,zl.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,zl.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,zl.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,zl.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,zl.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,zl.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,zl.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var Kl=3;function Ql(t,e,r){1===t&&r.readMessage(tc,e)}function tc(t,e,r){if(3===t){var n=r.readMessage(ec,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:i,bitmap:new Jo({width:o+2*Kl,height:s+2*Kl},a),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function ec(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}var rc=Kl;function nc(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var h=u[c],f=o.length-1;f>=0;f--){var p=o[f];if(!(h.w>p.w||h.h>p.h)){if(h.x=p.x,h.y=p.y,l=Math.max(l,h.y+h.h),s=Math.max(s,h.x+h.w),h.w===p.w&&h.h===p.h){var d=o.pop();f<o.length&&(o[f]=d)}else 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Ko({width:o||1,height:s||1});for(var c in t){var u=t[c],h=r[c].paddedRect;Ko.copy(u.data,l,{x:0,y:0},{x:h.x+ic,y:h.y+ic},u.data)}for(var f in e){var p=e[f],d=n[f].paddedRect,m=d.x+ic,g=d.y+ic,y=p.data.width,v=p.data.height;Ko.copy(p.data,l,{x:0,y:0},{x:m,y:g},p.data),Ko.copy(p.data,l,{x:0,y:v-1},{x:m,y:g-1},{width:y,height:1}),Ko.copy(p.data,l,{x:0,y:0},{x:m,y:g+v},{width:y,height:1}),Ko.copy(p.data,l,{x:y-1,y:0},{x:m-1,y:g},{width:1,height:v}),Ko.copy(p.data,l,{x:0,y:0},{x:m+y,y:g},{width:1,height:v})}this.image=l,this.iconPositions=r,this.patternPositions=n};sc.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2*ic,h:i.data.height+2*ic};r.push(a),e[n]=new ac(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},sc.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},sc.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},oi(\"ImagePosition\",ac),oi(\"ImageAtlas\",sc);var lc={horizontal:1,vertical:2,horizontalOnly:3},cc=-17;var uc=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};uc.forText=function(t,e){var r=new uc;return r.scale=t||1,r.fontStack=e,r},uc.forImage=function(t){var e=new uc;return e.imageName=t,e};var hc=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function fc(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m){var g,y=hc.fromFeature(t,i);h===lc.vertical&&y.verticalizePunctuation();var v=zi.processBidirectionalText,x=zi.processStyledBidirectionalText;if(v&&1===y.sections.length){g=[];for(var _=0,b=v(y.toString(),_c(y,c,a,e,n,p,d));_<b.length;_+=1){var w=b[_],T=new hc;T.text=w,T.sections=y.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(y.text,y.sectionIndex,_c(y,c,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new hc;E.text=S[0],E.sectionIndex=S[1],E.sections=y.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(y,_c(y,c,a,e,n,p,d));var C=[],L={positionedLines:C,text:y.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:h,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,c,u,h){for(var f=0,p=cc,d=0,m=0,g=\"right\"===s?1:\"left\"===s?0:.5,y=0,v=0,x=i;v<x.length;v+=1){var _=x[v];_.trim();var b=_.getMaxScale(),w=(b-1)*Cl,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=T;var k=T.positionedGlyphs,A=0;if(_.length()){for(var M=0;M<_.length();M++){var S=_.getSection(M),E=_.getSectionIndex(M),C=_.getCharCode(M),L=0,I=null,P=null,z=null,O=Cl,D=!(l===lc.horizontal||!u&&!mi(C)||u&&(pc[C]||yi(C)));if(S.imageName){var R=n[S.imageName];if(!R)continue;z=S.imageName,t.iconsInText=t.iconsInText||!0,P=R.paddedRect;var F=R.displaySize;S.scale=S.scale*Cl/h,I={width:F[0],height:F[1],left:ic,top:-rc,advance:D?F[1]:F[0]},L=w+(Cl-F[1]*S.scale),O=I.advance;var B=D?F[0]*S.scale-Cl*b:F[1]*S.scale-Cl*b;B>0&&B>A&&(A=B)}else{var N=r[S.fontStack],j=N&&N[C];if(j&&j.rect)P=j.rect,I=j.metrics;else{var U=e[S.fontStack],V=U&&U[C];if(!V)continue;I=V.metrics}L=(b-S.scale)*Cl}D?(t.verticalizable=!0,k.push({glyph:C,imageName:z,x:f,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:I,rect:P}),f+=O*S.scale+c):(k.push({glyph:C,imageName:z,x:f,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:I,rect:P}),f+=I.advance*S.scale+c)}if(0!==k.length){var q=f-c;d=Math.max(q,d),wc(k,0,k.length-1,g,A)}f=0;var H=a*b+A;T.lineOffset=Math.max(A,w),p+=H,m=Math.max(H,m),++y}else p+=a,++y}var G=p-cc,Z=bc(o),W=Z.horizontalAlign,Y=Z.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c=(e-r)*i,u=0;u=a!==o?-s*n-cc:(-n*l+.5)*o;for(var h=0,f=t;h<f.length;h+=1)for(var p=0,d=f[h].positionedGlyphs;p<d.length;p+=1){var m=d[p];m.x+=c,m.y+=u}})(t.positionedLines,g,W,Y,d,m,a,G,i.length),t.top+=-Y*G,t.bottom=t.top+G,t.left+=-W*d,t.right=t.left+d}(L,e,r,n,g,o,s,l,h,c,f,m),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(C)&&L}hc.fromFeature=function(t,e){for(var r=new hc,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},hc.prototype.length=function(){return this.text.length},hc.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},hc.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},hc.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},hc.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;n&&gi(n)&&!El[t[r+1]]||i&&gi(i)&&!El[t[r-1]]||!El[t[r]]?e+=t[r]:e+=El[t[r]]}return e}(this.text)},hc.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&pc[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&pc[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},hc.prototype.substring=function(t,e){var r=new hc;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},hc.prototype.toString=function(){return this.text},hc.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},hc.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(uc.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},hc.prototype.addImageSection=function(t){var e=t.image?t.image.name:\"\";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(uc.forImage(e)),this.sectionIndex.push(this.sections.length-1)):k(\"Reached maximum number of images 6401\")}else k(\"Can't add FormattedSection with an empty image.\")},hc.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var pc={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},dc={};function mc(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*Cl/a+i:0}var s=r[e.fontStack],l=s&&s[t];return 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a(0,0);u.push({tl:O,tr:D,bl:R,br:F,tex:y,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:W,pixelOffsetBR:Y,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,i,o,s,n,t.allowVerticalPlacement),y=t.textSizeData,v=null;\"source\"===y.kind?(v=[Ac*i.layout.get(\"text-size\").evaluate(s,{})])[0]>eu&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tu+'. Reduce your \"text-size\".'):\"composite\"===y.kind&&((v=[Ac*d.compositeTextSizes[0].evaluate(s,{},m),Ac*d.compositeTextSizes[1].evaluate(s,{},m)])[0]>eu||v[1]>eu)&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tu+'. Reduce your \"text-size\".'),t.addSymbols(t.text,g,v,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,m);for(var x=0,_=h;x<_.length;x+=1)f[_[x]]=t.text.placedSymbolArray.length-1;return 4*g.length}function nu(t){for(var e in t)return t[e];return null}function iu(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var au=tl.VectorTileFeature.types,ou=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function su(t,e,r,n,i,a,o,s,l,c,u,h,f){var p=s?Math.min(eu,Math.round(s[0])):0,d=s?Math.min(eu,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*h,256*f)}function lu(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function cu(t){for(var e=0,r=t.sections;e<r.length;e+=1)if(_i(r[e].text))return!0;return!1}var uu=function(t){this.layoutVertexArray=new la,this.indexArray=new ma,this.programConfigurations=t,this.segments=new Da,this.dynamicLayoutVertexArray=new ca,this.opacityVertexArray=new ua,this.placedSymbolArray=new Sa};uu.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},uu.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,wl.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Tl.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,ou,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},uu.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},oi(\"SymbolBuffers\",uu);var hu=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new Da,this.collisionVertexArray=new da};hu.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,kl.members,!0)},hu.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},oi(\"CollisionBuffers\",hu);var fu=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Bo([]),this.placementViewportMatrix=Bo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Mc(this.zoom,e[\"text-size\"]),this.iconSizeData=Mc(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.canOverlap=r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&this.canOverlap,\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return lc[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};fu.prototype.createArrays=function(){this.text=new uu(new uo(this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new uu(new uo(this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new La,this.lineVertexArray=new Ia,this.symbolInstances=new Ca},fu.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=El[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},fu.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof fe&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var h=e.iconDependencies,f=e.glyphDependencies,p=e.availableImages,d=new Oi(this.zoom),m=0,g=t;m<g.length;m+=1){var y=g[m],v=y.feature,x=y.id,_=y.index,b=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T=vo(v,w);if(n._featureFilter.filter(d,T,r)){w||(T.geometry=yo(v));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=fe.factory(A);cu(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===Ii()||this.hasRTLText&&zi.isParsed())&&(k=Sl(M,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof pe?E:pe.fromString(E)}if(k||S){var C=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,L={id:x,text:k,icon:S,index:_,sourceLayerIndex:b,geometry:T.geometry,properties:v.properties,type:au[v.type],sortKey:C};if(this.features.push(L),S&&(h[S.name]=!0),k){var I=a.evaluate(T,{},r).join(\",\"),P=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(lc.vertical)>=0;for(var z=0,O=k.sections;z<O.length;z+=1){var D=O[z];if(D.image)h[D.image.name]=!0;else{var R=di(k.toString()),F=D.fontStack||I,B=f[F]=f[F]||{};this.calculateGlyphDependencies(D.text,B,P,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],h=u.geometry,f=u.text?u.text.toString():null;if(f){var p=l(f,h),d=l(f,h,!0);if(p in r&&d in e&&r[p]!==e[d]){var m=s(p,d,h),g=o(p,d,n[m].geometry);delete e[p],delete r[d],r[l(f,n[g].geometry,!0)]=g,n[m].geometry=null}else p in r?o(p,d,h):d in e?s(p,d,h):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},fu.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},fu.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},fu.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},fu.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},fu.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},fu.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},fu.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},fu.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,h){for(var f=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,f,this.canOverlap?a.sortKey:void 0),m=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===lc.vertical?Math.PI/2:0,v=a.text&&a.text.sections,x=0;x<e.length;x++){var _=e[x],b=_.tl,w=_.tr,T=_.bl,k=_.br,A=_.tex,M=_.pixelOffsetTL,S=_.pixelOffsetBR,E=_.minFontScaleX,C=_.minFontScaleY,L=_.glyphOffset,I=_.isSDF,P=_.sectionIndex,z=d.vertexLength,O=L[1];su(p,s.x,s.y,b.x,O+b.y,A.x,A.y,r,I,M.x,M.y,E,C),su(p,s.x,s.y,w.x,O+w.y,A.x+A.w,A.y,r,I,S.x,M.y,E,C),su(p,s.x,s.y,T.x,O+T.y,A.x,A.y+A.h,r,I,M.x,S.y,E,C),su(p,s.x,s.y,k.x,O+k.y,A.x+A.w,A.y+A.h,r,I,S.x,S.y,E,C),lu(t.dynamicLayoutVertexArray,s,y),f.emplaceBack(z,z+1,z+2),f.emplaceBack(z+1,z+2,z+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(L[0]),x!==e.length-1&&P===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},h,v&&v[P])}t.placedSymbolArray.emplaceBack(s.x,s.y,m,this.glyphOffsetArray.length-m,g,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},fu.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},fu.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),c=l.vertexLength,u=i.layoutVertexArray,h=i.collisionVertexArray,f=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,h,o,f,p,new a(t,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,n)),this._addCollisionDebugVertex(u,h,o,f,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},fu.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,c=a.y2;this.addCollisionDebugVertices(o,s,l,c,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},fu.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new hu(fa,Al.members,ba),this.iconCollisionBox=new hu(fa,Al.members,ba);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},fu.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var h=t.get(u);c.textBox={x1:h.x1,y1:h.y1,x2:h.x2,y2:h.y2,anchorPointX:h.anchorPointX,anchorPointY:h.anchorPointY},c.textFeatureIndex=h.featureIndex;break}for(var f=n;f<i;f++){var p=t.get(f);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var m=t.get(d);c.iconBox={x1:m.x1,y1:m.y1,x2:m.x2,y2:m.y2,anchorPointX:m.anchorPointX,anchorPointY:m.anchorPointY},c.iconFeatureIndex=m.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);c.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},c.verticalIconFeatureIndex=y.featureIndex;break}return c},fu.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},fu.prototype.hasTextData=function(){return this.text.segments.get().length>0},fu.prototype.hasIconData=function(){return this.icon.segments.get().length>0},fu.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},fu.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},fu.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},fu.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},fu.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},fu.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},fu.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},oi(\"SymbolBucket\",fu,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),fu.MAX_GLYPHS=65535,fu.addDynamicAttributes=lu;var pu=new Yi({\"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\"])}),du={paint:new Yi({\"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:Xt,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:pu},mu=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t};mu.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},mu.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},mu.prototype.outputDefined=function(){return!1},mu.prototype.serialize=function(){return null},oi(\"FormatSectionOverride\",mu,{omit:[\"defaultValue\"]});var gu=function(t){function e(e){t.call(this,e,du)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||un(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new fu(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=du.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new mu(a),s=new cn(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new fn(\"source\",s):new pn(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Ui(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=du.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof fe)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ve&&ge(t.value)===Qt){var e=t.value;a(e.sections)}else t instanceof we?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}($i),yu={paint:new Yi({\"background-color\":new qi(Ft.paint_background[\"background-color\"]),\"background-pattern\":new Zi(Ft.paint_background[\"background-pattern\"]),\"background-opacity\":new qi(Ft.paint_background[\"background-opacity\"])})},vu=function(t){function e(e){t.call(this,e,yu)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}($i),xu={paint:new Yi({\"raster-opacity\":new qi(Ft.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new qi(Ft.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new qi(Ft.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new qi(Ft.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new qi(Ft.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new qi(Ft.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new qi(Ft.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new qi(Ft.paint_raster[\"raster-fade-duration\"])})},_u=function(t){function e(e){t.call(this,e,xu)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}($i);var bu=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}($i),wu={circle:Go,heatmap:es,hillshade:ns,fill:Hs,\"fill-extrusion\":sl,line:_l,symbol:gu,background:vu,raster:_u};var Tu=s.HTMLImageElement,ku=s.HTMLCanvasElement,Au=s.HTMLVideoElement,Mu=s.ImageData,Su=s.ImageBitmap,Eu=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Eu.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Tu||t instanceof ku||t instanceof Au||t instanceof Mu||Su&&t instanceof Su?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Tu||t instanceof ku||t instanceof Au||t instanceof Mu||Su&&t instanceof Su?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Eu.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Eu.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Eu.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Cu=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Cu.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Cu.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Lu=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},v([\"receive\",\"process\"],this),this.invoker=new Cu(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=S()?t:s};function Iu(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Lu.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=L(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:ui(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Lu.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else S()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Lu.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)}},Lu.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(hi(e.error)):n(null,hi(e.data)))}else{var i=!1,a=L(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?ui(e):null,data:ui(n,a)},a)}:function(t){i=!0},s=null,l=hi(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Lu.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Pu=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]))};Pu.prototype.setNorthEast=function(t){return this._ne=t instanceof Ou?new Ou(t.lng,t.lat):Ou.convert(t),this},Pu.prototype.setSouthWest=function(t){return this._sw=t instanceof Ou?new Ou(t.lng,t.lat):Ou.convert(t),this},Pu.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Ou)e=t,r=t;else{if(!(t instanceof Pu)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Pu.convert(a))}var o=t;return this.extend(Ou.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 Ou(e.lng,e.lat),this._ne=new Ou(r.lng,r.lat)),this},Pu.prototype.getCenter=function(){return new Ou((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Pu.prototype.getSouthWest=function(){return this._sw},Pu.prototype.getNorthEast=function(){return this._ne},Pu.prototype.getNorthWest=function(){return new Ou(this.getWest(),this.getNorth())},Pu.prototype.getSouthEast=function(){return new Ou(this.getEast(),this.getSouth())},Pu.prototype.getWest=function(){return this._sw.lng},Pu.prototype.getSouth=function(){return this._sw.lat},Pu.prototype.getEast=function(){return this._ne.lng},Pu.prototype.getNorth=function(){return this._ne.lat},Pu.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Pu.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Pu.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Pu.prototype.contains=function(t){var e=Ou.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},Pu.convert=function(t){return!t||t instanceof Pu?t:new Pu(t)};var zu=6371008.8,Ou=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\")};Ou.prototype.wrap=function(){return new Ou(f(this.lng,-180,180),this.lat)},Ou.prototype.toArray=function(){return[this.lng,this.lat]},Ou.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Ou.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 zu*Math.acos(Math.min(i,1))},Ou.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 Pu(new Ou(this.lng-r,this.lat-e),new Ou(this.lng+r,this.lat+e))},Ou.convert=function(t){if(t instanceof Ou)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Ou(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Ou(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var Du=2*Math.PI*zu;function Ru(t){return Du*Math.cos(t*Math.PI/180)}function Fu(t){return(180+t)/360}function Bu(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nu(t,e){return t/Ru(e)}function ju(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Uu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Ou.convert(t);return new Uu(Fu(r.lng),Bu(r.lat),Nu(e,r.lat))},Uu.prototype.toLngLat=function(){return new Ou(360*this.x-180,ju(this.y))},Uu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Ru(ju(e));var t,e},Uu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Du*(t=ju(this.y),1/Math.cos(t*Math.PI/180));var t};var Vu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gu(0,t,t,e,r)};Vu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Iu(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Iu(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},Vu.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*po,(t.y*e-this.y)*po)},Vu.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var qu=function(t,e){this.wrap=t,this.canonical=e,this.key=Gu(t,e.z,e.z,e.x,e.y)},Hu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Vu(r,+n,+i),this.key=Gu(e,t,r,n,i)};function Gu(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Hu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Hu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Hu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Hu.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hu(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 Hu(e,this.wrap,e,r,n),new Hu(e,this.wrap,e,r+1,n),new Hu(e,this.wrap,e,r,n+1),new Hu(e,this.wrap,e,r+1,n+1)]},Hu.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Hu.prototype.wrapped=function(){return new Hu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Hu.prototype.unwrapTo=function(t){return new Hu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Hu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Hu.prototype.toUnwrapped=function(){return new qu(this.wrap,this.canonical)},Hu.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Hu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Uu(t.x-this.wrap,t.y))},oi(\"CanonicalTileID\",Vu),oi(\"OverscaledTileID\",Hu,{omit:[\"posMatrix\"]});var Zu=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return k('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Zu.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Zu.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Zu.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},Zu.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Zu.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Zu.prototype.getPixels=function(){return new Ko({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Zu.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,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},oi(\"DEMData\",Zu);var Wu=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Wu.prototype.encode=function(t){return this._stringToNumber[t]},Wu.prototype.decode=function(t){return this._numberToString[t]};var Yu=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},Xu={geometry:{configurable:!0}};Xu.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Xu.geometry.set=function(t){this._geometry=t},Yu.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Yu.prototype,Xu);var $u=function(){this.state={},this.stateChanges={},this.deletedStates={}};$u.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},p(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},$u.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},$u.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=p({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},$u.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},$u.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),p(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var u=0,h=Object.keys(this.deletedStates[o][c]);u<h.length;u+=1){var f=h[u];delete this.state[o][c][f]}s[c]=this.state[o][c]}r[o]=r[o]||{},p(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Ju=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new ti(po,16,0),this.grid3D=new ti(po,16,0),this.featureIndexArray=new za,this.promoteId=e};function Ku(t,e,r,n,i){return _(t,(function(t,a){var o=e instanceof Vi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Qu(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function th(t,e){return e-t}Ju.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],h=0;h<c.length;h++){var f=c[h];u[0]=Math.min(u[0],f.x),u[1]=Math.min(u[1],f.y),u[2]=Math.max(u[2],f.x),u[3]=Math.max(u[3],f.y)}u[0]<po&&u[1]<po&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},Ju.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Pl(this.rawTileData)).layers,this.sourceLayerCoder=new Wu(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Ju.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),c=t.queryGeometry,u=t.queryPadding*s,h=Qu(c),f=this.grid.query(h.minX-u,h.minY-u,h.maxX+u,h.maxY+u),p=Qu(t.cameraQueryGeometry),d=0,m=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var c=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var u=0,h=c;u<h.length;u+=1)if(Lo(t,h[u]))return!0;for(var f=0;f<t.length-1;f++)if(Io(t[f],t[f+1],c))return!0;return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,i+u)}));d<m.length;d+=1){var g=m[d];f.push(g)}f.sort(th);for(var y,v={},x=function(a){var u=f[a];if(u!==y){y=u;var h=i.featureIndexArray.get(u),p=null;i.loadMatchingFeature(v,h.bucketIndex,h.sourceLayerIndex,h.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=yo(e)),r.queryIntersectsFeature(c,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},_=0;_<f.length;_++)x(_);return v},Ju.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var h=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,h)){var f=this.sourceLayerCoder.decode(r),d=this.vtLayers[f].feature(n);if(i.needGeometry){var m=vo(d,!0);if(!i.filter(new Oi(this.tileID.overscaledZ),m,this.tileID.canonical))return}else if(!i.filter(new Oi(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,f),y=0;y<h.length;y++){var v=h[y];if(!(a&&a.indexOf(v)<0)){var x=s[v];if(x){var _={};void 0!==g&&c&&(_=c.getState(x.sourceLayer||\"_geojsonTileLayer\",g));var b=p({},l[v]);b.paint=Ku(b.paint,x.paint,d,_,o),b.layout=Ku(b.layout,x.layout,d,_,o);var w=!u||u(d,x,_);if(w){var T=new Yu(d,this.z,this.x,this.y,g);T.layer=b;var k=t[v];void 0===k&&(k=t[v]=[]),k.push({featureIndex:n,feature:T,intersectionZ:w})}}}}}},Ju.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=An(i),u=0,h=t;u<h.length;u+=1){var f=h[u];this.loadMatchingFeature(l,r,n,f,c,a,o,s,e)}return l},Ju.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1)if(t===i[n])return!0;return!1},Ju.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},oi(\"FeatureIndex\",Ju,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var eh=function(t,e){this.tileID=t,this.uid=m(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};eh.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<N.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},eh.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},eh.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof fu){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof fu&&o.hasRTLText){this.hasRTLText=!0,zi.isLoading()||zi.isLoaded()||\"deferred\"!==Ii()||Pi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new Aa},eh.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},eh.prototype.getBucket=function(t){return this.buckets[t.id]},eh.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Eu(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Eu(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},eh.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},eh.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},eh.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=An(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,h={z:l,x:c,y:u},f=0;f<a.length;f++){var p=a.feature(f);if(o.needGeometry){var d=vo(p,!0);if(!o.filter(new Oi(this.tileID.overscaledZ),d,this.tileID.canonical))continue}else if(!o.filter(new Oi(this.tileID.overscaledZ),p))continue;var m=r.getId(p,i),g=new Yu(p,l,c,u,m);g.tile=h,t.push(g)}}},eh.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},eh.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},eh.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=E(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},eh.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},eh.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},eh.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},eh.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<N.now()},eh.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},eh.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=N.now()+t},eh.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},eh.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1)if(a[s[o]])return!0}return!1};var rh=s.performance,nh=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},rh.mark(this._marks.start)};nh.prototype.finish=function(){rh.mark(this._marks.end);var t=rh.getEntriesByName(this._marks.measure);return 0===t.length&&(rh.measure(this._marks.measure,this._marks.start,this._marks.end),t=rh.getEntriesByName(this._marks.measure),rh.clearMarks(this._marks.start),rh.clearMarks(this._marks.end),rh.clearMeasures(this._marks.measure)),t},t.Actor=Lu,t.AlphaImage=Jo,t.CanonicalTileID=Vu,t.CollisionBoxArray=Aa,t.Color=ce,t.DEMData=Zu,t.DataConstantProperty=qi,t.DictionaryCoder=Wu,t.EXTENT=po,t.ErrorEvent=Dt,t.EvaluationParameters=Oi,t.Event=Ot,t.Evented=Rt,t.FeatureIndex=Ju,t.FillBucket=Us,t.FillExtrusionBucket=il,t.ImageAtlas=sc,t.ImagePosition=ac,t.LineBucket=ml,t.LngLat=Ou,t.LngLatBounds=Pu,t.MercatorCoordinate=Uu,t.ONE_EM=Cl,t.OverscaledTileID=Hu,t.Point=a,t.Point$1=a,t.Properties=Yi,t.Protobuf=Pl,t.RGBAImage=Ko,t.RequestManager=Z,t.RequestPerformance=nh,t.ResourceType=bt,t.SegmentVector=Da,t.SourceFeatureState=$u,t.StructArrayLayout1ui2=wa,t.StructArrayLayout2f1f2i16=pa,t.StructArrayLayout2i4=ra,t.StructArrayLayout3ui6=ma,t.StructArrayLayout4i8=na,t.SymbolBucket=fu,t.Texture=Eu,t.Tile=eh,t.Transitionable=Fi,t.Uniform1f=$a,t.Uniform1i=Xa,t.Uniform2f=Ja,t.Uniform3f=Ka,t.Uniform4f=Qa,t.UniformColor=to,t.UniformMatrix4f=ro,t.UnwrappedTileID=qu,t.ValidationError=Bt,t.WritingMode=lc,t.ZoomHistory=fi,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=lu,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=c,t.bindAll=v,t.browser=N,t.cacheEntryPossiblyAdded=function(t){++xt>ft&&(t.getActor().send(\"enforceCacheSizeLimit\",ht),xt=0)},t.clamp=h,t.clearTileCache=function(t){var e=s.caches.delete(ut);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Fc,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$2=function(){var t=new Fo(4);return Fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=hn,t.createLayout=ta,t.createStyleLayer=function(t){return\"custom\"===t.type?new bu(t):new wu[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n<e.length;n++)if(!t(e[n],r[n]))return!1;return!0}if(\"object\"==typeof e&&null!==e&&null!==r){if(\"object\"!=typeof r)return!1;if(Object.keys(e).length!==Object.keys(r).length)return!1;for(var i in e)if(!t(e[i],r[i]))return!1;return!0}return 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r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=b(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new j(s,$,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new j(s,$,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}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)],c=[],u=0,h=l.range(W(r),Y(a),W(i),Y(n));u<h.length;u+=1){var f=h[u],p=l.points[f];c.push(p.numPoints?G(p):this.points[p.index])}return c},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],h=i.points[u];h.parentId===t&&s.push(h.numPoints?G(h):this.points[h.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?Z(l):this.points[l.index].properties},h=void 0;c?h=l.id:this.options.generateId?h=l.index:this.points[l.index].id&&(h=this.points[l.index].id),void 0!==h&&(u.id=h),a.features.push(u)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(+t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=n.minPoints,l=i/(a*Math.pow(2,e)),c=0;c<t.length;c++){var u=t[c];if(!(u.zoom<=e)){u.zoom=e;for(var h=this.trees[e+1],f=h.within(u.x,u.y,l),p=u.numPoints||1,d=p,m=0,g=f;m<g.length;m+=1){var y=g[m],v=h.points[y];v.zoom>e&&(d+=v.numPoints||1)}if(d>=s){for(var x=u.x*p,_=u.y*p,b=o&&p>1?this._map(u,!0):null,w=(c<<5)+(e+1)+this.points.length,T=0,k=f;T<k.length;T+=1){var A=k[T],M=h.points[A];if(!(M.zoom<=e)){M.zoom=e;var S=M.numPoints||1;x+=M.x*S,_+=M.y*S,M.parentId=w,o&&(b||(b=this._map(u,!0)),o(b,this._map(M)))}}u.parentId=w,r.push(q(x/d,_/d,w,d,b))}else if(r.push(u),d>1)for(var E=0,C=f;E<C.length;E+=1){var L=C[E],I=h.points[L];I.zoom<=e||(I.zoom=e,r.push(I))}}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},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,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,h=kt(e,r,n),f=this.tiles[h];if(!f&&(c>1&&console.time(\"creation\"),f=this.tiles[h]=_t(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,f.numFeatures,f.numPoints,f.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(f.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||f.numPoints<=l.indexMaxPoints)continue;if(f.source=null,0!==t.length){c>1&&console.time(\"clipping\");var m,g,y,v,x,_,b=.5*l.buffer/l.extent,w=.5-b,T=.5+b,k=1+b;m=g=y=v=null,x=lt(t,u,r-b,r+T,0,f.minX,f.maxX,l),_=lt(t,u,r+w,r+k,0,f.minX,f.maxX,l),t=null,x&&(m=lt(x,u,n-b,n+T,1,f.minY,f.maxY,l),g=lt(x,u,n+w,n+k,1,f.minY,f.maxY,l),x=null),_&&(y=lt(_,u,n-b,n+T,1,f.minY,f.maxY,l),v=lt(_,u,n+w,n+k,1,f.minY,f.maxY,l),_=null),c>1&&console.timeEnd(\"clipping\"),s.push(m||[],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(v||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=kt(t,e=(e%o+o)%o,r);if(this.tiles[s])return vt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,h=r;!l&&c>0;)c--,u=Math.floor(u/2),h=Math.floor(h/2),l=this.tiles[kt(c,u,h)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,h),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,h,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?vt(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 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i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var c={};if(i){var u=i.finish();u&&(c.resourceTiming={},c.resourceTiming[n.source]=JSON.parse(JSON.stringify(u)))}r(null,c)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already 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t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var f=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!(t&&(4!==t.length||t[0]<0||e.data.width<t[0]||t[1]<0||e.data.height<t[1]||t[2]<0||e.data.width<t[2]||t[3]<0||e.data.height<t[3]||t[2]<t[0]||t[3]<t[1]))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,h=this.images[s].data,f=h.width,p=h.height;t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u},{width:f,height:p}),t.RGBAImage.copy(h,o,{x:0,y:p-1},{x:c,y:u-1},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u+p},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:f-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c+f,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];h(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,m=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(v(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(v(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function v(t,e,r,n,i){r[0]=0,n[0]=-m,n[1]=+m;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+m}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?m:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?m:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(y(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),y(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var _=function(){this.specification=t.styleSpec.light.position};_.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},_.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var b=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new _,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=\"-transition\",T=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(b),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,w)?this._transitionable.setTransition(n.slice(0,-11),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},k.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var c=t[l];i=s*r,a=(s+=c)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===c})}return n},k.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),h=Math.abs(c-l.right),f=Math.min(u,h),p=void 0,d=i/r*(n+1);if(l.isDash){var m=n-Math.abs(d);p=Math.sqrt(f*f+m*m)}else p=n-Math.sqrt(f*f+d*d);this.data[o+c]=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],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),h=Math.abs(c-l.right),f=Math.min(u,h),p=l.isDash?f:-f;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var A=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setSourceProperty=function(t){this._tileJSONRequest&&this._tileJSONRequest.cancel(),t(),this.map.style.sourceCaches[this.id].clearTiles(),this.load()},r.prototype.setTiles=function(t){var e=this;return this.setSourceProperty((function(){e._options.tiles=t})),this},r.prototype.setUrl=function(t){var e=this;return this.setSourceProperty((function(){e.url=t,e._options.url=t})),this},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(C),I=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,minPoints:Math.max(2,n.clusterMinPoints||2),extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties,filter:n.filter},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),z=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=i-r,u=a-n,h=Math.max(c,u),f=Math.max(0,Math.floor(-Math.log(h)/Math.LN2)),p=Math.pow(2,f);return new t.CanonicalTileID(f,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var O=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.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}(z),D=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,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(z),R={vector:E,raster:C,\"raster-dem\":L,geojson:I,video:O,image:z,canvas:D};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&\"fill-extrusion\"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var c=[],u=0,h=l;u<h.length;u+=1){var f=h[u];c.push({wrappedTileID:f.tileID.wrapped().key,queryResults:f.tile.queryRenderedFeatures(e,r,t._state,f.queryGeometry,f.cameraQueryGeometry,f.scale,i,a,s,F(t.transform,f.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var c in o)for(var u=o[c],h=l[c]=l[c]||{},f=e[c]=e[c]||[],p=0,d=u;p<d.length;p+=1){var m=d[p];h[m.featureIndex]||(h[m.featureIndex]=!0,f.push(m))}}return e}(c);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer[\"source-layer\"],r.id);r.source=r.layer.source,r.layer[\"source-layer\"]&&(r.sourceLayer=r.layer[\"source-layer\"]),r.state=n}));return p}function N(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var j=function(t,e){this.max=t,this.onRemove=e,this.reset()};j.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},j.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 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Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var St=7680,Et=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Ct=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Ct.Replace=[1,0],Ct.disabled=new Ct(Ct.Replace,t.Color.transparent,[!1,!1,!1,!1]),Ct.unblended=new Ct(Ct.Replace,t.Color.transparent,[!0,!0,!0,!0]),Ct.alphaBlended=new Ct([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Lt=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Lt.disabled=new Lt(!1,1029,2305),Lt.backCCW=new Lt(!0,1029,2305);var It=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new G(this),this.clearDepth=new Z(this),this.clearStencil=new W(this),this.colorMask=new Y(this),this.depthMask=new X(this),this.stencilMask=new $(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ct(this),this.program=new ut(this),this.activeTexture=new ht(this),this.viewport=new ft(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new mt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new _t(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\"),this.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE)};It.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},It.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},It.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},It.prototype.createVertexBuffer=function(t,e,r){return new q(this,t,e,r)},It.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},It.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},It.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},It.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},It.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},It.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},It.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Ct.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},It.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Pt=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(zt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(zt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Ot(this._source.type)){for(var c={},u={},h=0,f=Object.keys(l);h<f.length;h+=1){var p=f[h],d=l[p],m=this._tiles[p];if(m&&!(m.fadeEndTime&&m.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),c[g.tileID.key]=g.tileID),u[p]=d}}for(var y in this._retainLoadedChildren(u,a,s,l),c)l[y]||(this._coveredTiles[y]=!0,l[y]=c[y])}for(var v in l)this._tiles[v].clearFadeHold();for(var x=0,_=t.keysDifference(this._tiles,l);x<_.length;x+=1){var b=_[x],w=this._tiles[b];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(b)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],h=this._addTile(u);n[u.key]=u,h.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var f=0,p=t;f<p.length;f+=1){var d=p[f],m=this._tiles[d.key];if(!m.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var v=d.children(this._source.maxzoom);if(n[v[0].key]&&n[v[1].key]&&n[v[2].key]&&n[v[3].key])continue}for(var x=m.wasRequested(),_=d.overscaledZ-1;_>=a;--_){var b=d.scaledTo(_);if(i[b.key])break;if(i[b.key]=!0,!(m=this.getTile(b))&&x&&(m=this._addTile(b)),m&&(n[b.key]=b,x=m.wasRequested(),m.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),h=1/0,f=1/0,p=-1/0,d=-1/0,m=0,g=c;m<g.length;m+=1){var y=g[m];h=Math.min(h,y.x),f=Math.min(f,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var v=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,m=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/m,y=[s.getTilePoint(new t.MercatorCoordinate(h,f)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var v=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:v,cameraQueryGeometry:x,scale:m})}}},x=0;x<u.length;x++)v(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Ot(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function zt(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 Ot(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Dt(){return new t.window.Worker(oa.workerUrl)}Pt.maxOverzooming=10,Pt.maxUnderzooming=3;var Rt=\"mapboxgl_preloaded_worker_pool\",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new Dt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var qt={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Ht(t,e,r){r.push({command:qt.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:qt.removeSource,args:[t]}),r[t]=!0}function Zt(t,e,r,n){Gt(t,r,n),Ht(t,e,r)}function Wt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Xt(t){return t.id}function $t(t,e){return t[e.id]=e,t}function Jt(e,r){if(!e)return[{command:qt.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:qt.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:qt.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:qt.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:qt.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:qt.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:qt.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:qt.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:qt.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:qt.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Wt(e,r,a)?n.push({command:qt.setGeoJSONSourceData,args:[a,r[a].data]}):Zt(a,r,n,i)):Ht(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:qt.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,h=(e=e||[]).map(Xt),f=r.map(Xt),p=e.reduce($t,{}),d=r.reduce($t,{}),m=h.slice(),g=Object.create(null);for(i=0,a=0;i<h.length;i++)o=h[i],d.hasOwnProperty(o)?a++:(n.push({command:qt.removeLayer,args:[o]}),m.splice(m.indexOf(o,a),1));for(i=0,a=0;i<f.length;i++)o=f[f.length-1-i],m[m.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:qt.removeLayer,args:[o]}),m.splice(m.lastIndexOf(o,m.length-a),1)):a++,c=m[m.length-i],n.push({command:qt.addLayer,args:[d[o],c]}),m.splice(m.length-i,0,o),g[o]=!0);for(i=0;i<f.length;i++)if(s=p[o=f[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,qt.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,qt.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:qt.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:qt.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),qt.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:qt.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),qt.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:qt.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:qt.removeLayer,args:[o]}),c=m[m.lastIndexOf(o)+1],n.push({command:qt.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:qt.setStyle,args:[r]}]}return n}var Kt=function(t,e){this.reset(t,e)};Kt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Kt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),h=[256/n.width*2+1,256/n.height*2+1],f=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;f.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,m=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var v=d.get(y);if(v.hidden||v.writingMode===t.WritingMode.vertical&&!g)fe(v.numGlyphs,f);else{g=!1;var x=[v.anchorX,v.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,h)){var _=x[3],b=ne(n.transform.cameraToCenterDistance,_),w=t.evaluateSizeForFeature(c,u,v),T=s?w/b:w*b,k=new t.Point(v.anchorX,v.anchorY),A=re(k,a).point,M={},S=le(v,T,!1,l,r,a,o,e.glyphOffsetArray,p,f,A,k,M,m);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(v,T,!0,l,r,a,o,e.glyphOffsetArray,p,f,A,k,M,m).notEnoughRoom)&&fe(v.numGlyphs,f)}else fe(v.numGlyphs,f)}}i?e.text.dynamicLayoutVertexBuffer.updateData(f):e.icon.dynamicLayoutVertexBuffer.updateData(f)}function oe(t,e,r,n,i,a,o,s,l,c,u){var h=s.glyphStartIndex+s.numGlyphs,f=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),m=e.getoffsetX(h-1),g=ue(t*d,r,n,i,a,o,s.segment,f,p,l,c,u);if(!g)return null;var y=ue(t*m,r,n,i,a,o,s.segment,f,p,l,c,u);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,c,u,h,f,p,d){var m,g=r/24,y=e.lineOffsetX*g,v=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,_=e.lineStartIndex,b=e.lineStartIndex+e.lineLength,w=oe(g,l,y,v,n,h,f,e,c,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}m=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)m.push(ue(g*l.getoffsetX(M),y,v,n,h,f,e.segment,_,b,c,o,p));m.push(w.last)}else{if(i&&!n){var S=re(f,a).point,E=e.lineStartIndex+e.segment+1,C=new t.Point(c.getx(E),c.gety(E)),L=re(C,a),I=L.signedDistanceFromCamera>0?L.point:ce(f,C,S,1,a),P=se(e.writingMode,S,I,d);if(P)return P}var z=ue(g*l.getoffsetX(e.glyphStartIndex),y,v,n,h,f,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!z)return{notEnoughRoom:!0};m=[z]}for(var O=0,D=m;O<D.length;O+=1){var R=D[O];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function ce(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ue(e,r,n,i,a,o,s,l,c,u,h,f){var p=i?e-r:e+r,d=p>0?1:-1,m=0;i&&(d*=-1,m=Math.PI),d<0&&(m+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,v=a,x=0,_=0,b=Math.abs(p),w=[];x+_<=b;){if((g+=d)<l||g>=c)return null;if(v=y,w.push(y),void 0===(y=f[g])){var T=new t.Point(u.getx(g),u.gety(g)),k=re(T,h);if(k.signedDistanceFromCamera>0)y=f[g]=k.point;else{var A=g-d;y=ce(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,v,b-x+1,h)}}x+=_,_=v.dist(y)}var M=(b-x)/_,S=y.sub(v),E=S.mult(M)._add(v);E._add(S._unit()._perp()._mult(n*d));var C=m+Math.atan2(y.y-v.y,y.x-v.x);return w.push(E),{point:E,angle:C,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],h=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-h,y1:u-h,x2:c+h,y2:u+h})}return a?o.filter(a):o}var f={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,f,a),i?o.length>0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},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,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,h=0,f=c;h<f.length;h+=1){var p=f[h];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var m=this.circleCells[i];if(null!==m)for(var g=this.circles,y=0,v=m;y<v.length;y+=1){var x=v[y];if(!l.circle[x]){l.circle[x]=!0;var _=3*x;if(this._circleAndRectCollide(g[_],g[_+1],g[_+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var b=g[_],w=g[_+1],T=g[_+2];a.push({key:this.circleKeys[x],x1:b-T,y1:w-T,x2:b+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var h=this.bboxes,f=0,p=u;f<p.length;f+=1){var d=p[f];if(!c.box[d]){c.box[d]=!0;var m=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,h[m+0],h[m+1],h[m+2],h[m+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,v=0,x=g;v<x.length;v+=1){var _=x[v];if(!c.circle[_]){c.circle[_]=!0;var b=3*_;if(this._circlesCollide(y[b],y[b+1],y[b+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[_])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),h=this._convertToYCellCoord(n),f=l;f<=u;f++)for(var p=c;p<=h;p++){var d=this.xCellCount*p+f;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var h=l-s,f=u-c;return h*h+f*f<=r*r};var he=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function fe(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(he,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,me=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}me.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},me.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,h,f,p){var d=[],m=new t.Point(r.anchorX,r.anchorY),g=re(m,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),v=(u?a/y:a*y)/t.ONE_EM,x=re(m,s).point,_=oe(v,i,r.lineOffsetX*v,r.lineOffsetY*v,!1,x,m,r,n,s,{}),b=!1,w=!1,T=!0;if(_){for(var k=.5*f*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Kt,E=_.first,C=_.last,L=[],I=E.path.length-1;I>=1;I--)L.push(E.path[I]);for(var P=1;P<C.path.length;P++)L.push(C.path[P]);var z=2.5*k;if(l){var O=L.map((function(t){return re(t,l)}));L=O.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:O.map((function(t){return t.point}))}var D=[];if(L.length>0){for(var R=L[0].clone(),F=L[0].clone(),B=1;B<L.length;B++)R.x=Math.min(R.x,L[B].x),R.y=Math.min(R.y,L[B].y),F.x=Math.max(F.x,L[B].x),F.y=Math.max(F.y,L[B].y);D=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[L]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([L],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/z)+1;for(var q=0;q<V;q++){var H=q/Math.max(V-1,1),G=S.lerp(H),Z=G.x+de,W=G.y+de;d.push(Z,W,k,0);var Y=Z-k,X=W-k,$=Z+k,J=W+k;if(T=T&&this.isOffscreen(Y,X,$,J),w=w||this.isInsideGrid(Y,X,$,J),!e&&this.grid.hitTestCircle(Z,W,k,h)&&(b=!0,!c))return{circles:[],offscreen:!1,collisionDetected:b}}}}return{circles:!c&&b||!w?[]:d,offscreen:T,collisionDetected:b}},me.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+de,c.y+de);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var h={},f={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var m=d[p],g=m.key;if(void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]={}),!h[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(m.x1,m.y1),new t.Point(m.x2,m.y1),new t.Point(m.x2,m.y2),new t.Point(m.x1,m.y2)];t.polygonIntersectsPolygon(r,y)&&(h[g.bucketInstanceId][g.featureIndex]=!0,void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]=[]),f[g.bucketInstanceId].push(g.featureIndex))}}return f},me.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},me.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},me.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},me.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},me.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},me.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var ve=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};ve.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},_e=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},be=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,h=e.anchorPointX,f=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:h,anchorPointY:f}}we.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new me(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}Ae.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,h=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),f=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=ge(n,1,this.transform.zoom),m=te(h,f,p,this.transform,d),g=null;if(f){var y=ee(h,f,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new be(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var v={bucket:a,layout:l,posMatrix:h,textLabelPlaneMatrix:m,labelToScreenMatrix:g,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,_=a.sortKeyRanges;x<_.length;x+=1){var b=_[x],w=b.sortKey,T=b.symbolInstanceStart,k=b.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:v})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:v})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d){var m,g=[h.textOffset0,h.textOffset1],y=Te(t,r,n,g,i),v=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),u,s,l,c.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return v.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID].text&&(m=this.prevPlacement.variableOffsets[h.crossTileID].anchor),this.variableOffsets[h.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:m},this.markUsedJustification(f,t,h,p),f.allowVerticalPlacement&&(this.markUsedOrientation(f,p,h),this.placedOrientations[h.crossTileID]=p),{shift:y,placedGlyphBoxes:v}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,h=a.textPixelRatio,f=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,m=a.collisionGroup,g=s.get(\"text-optional\"),y=s.get(\"icon-optional\"),v=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),_=\"map\"===s.get(\"text-rotation-alignment\"),b=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=v&&(x||!o.hasIconData()||y),A=x&&(v||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(f)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,C={box:null,offscreen:null},L={box:null,offscreen:null},I=null,P=null,z=0,O=0,D=0;a.textFeatureIndex?z=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(z=e.featureIndex),a.verticalTextFeatureIndex&&(O=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(C=n(),L=C):C=r(),!(C&&C.box&&C.box.length));i+=1);else C=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,f={box:[],offscreen:!1},p=v?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,c,_,b,h,l,m,y,e,o,n,u);if(k&&(f=k.placedGlyphBoxes)&&f.box&&f.box.length){T=!0,E=k.shift;break}}return f};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=C&&C.box&&C.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),C&&(T=C.box,S=C.offscreen);var V=F(C&&C.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,v,h,l,m.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(C&&C.box&&C.box.length)}}if(T=(p=C)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Z=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),Y=e.collisionCircleDiameter;I=i.collisionIndex.placeCollisionCircles(v,G,o.lineVertexArray,o.glyphOffsetArray,Z,l,c,u,n,b,m.predicate,Y,W),T=v||I.circles.length>0&&!I.collisionDetected,S=S&&I.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var X=function(t){var e=w&&E?ke(t,E.x,E.y,_,b,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,h,l,m.predicate)};M=L&&L.box&&L.box.length&&a.verticalIconBox?(P=X(a.verticalIconBox)).box.length>0:(P=X(a.iconBox)).box.length>0,S=S&&P.offscreen}var $=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if($||J?J?$||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(L&&L.box&&O?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,m.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,m.ID)),M&&P&&i.collisionIndex.insertCollisionBox(P.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,m.ID),I&&(T&&i.collisionIndex.insertCollisionCircles(I.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,m.ID),n)){var K=o.bucketInstanceId,Q=i.collisionCircleArrays[K];void 0===Q&&(Q=i.collisionCircleArrays[K]=new _e);for(var tt=0;tt<I.circles.length;tt+=4)Q.circles.push(I.circles[tt+0]),Q.circles.push(I.circles[tt+1]),Q.circles.push(I.circles[tt+2]),Q.circles.push(I.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var C=S[E];M(o.symbolInstances.get(C),o.collisionArrays[C])}else for(var L=e.symbolInstanceStart;L<e.symbolInstanceEnd;L++)M(o.symbolInstances.get(L),o.collisionArrays[L]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var I=this.collisionCircleArrays[o.bucketInstanceId];t.invert(I.invProjMatrix,l),I.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},Ae.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},Ae.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new ve(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new ve(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var h=i[u];if(!this.opacities[u]){var f=new ve(h,n,!1,!1);f.isHidden()||(this.opacities[u]=f,r=r||h.text.placed||h.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},Ae.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},Ae.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new ve(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),c=a.get(\"text-variable-anchor\"),u=\"map\"===a.get(\"text-rotation-alignment\"),h=\"map\"===a.get(\"text-pitch-alignment\"),f=\"none\"!==a.get(\"icon-text-fit\"),p=new ve(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},m=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,m=a.crossTileID,g=r[m],y=i.opacities[m];g?y=o:y||(y=p,i.opacities[m]=y),r[m]=!0;var v=s>0||l>0,x=a.numIconVertices>0,_=i.placedOrientations[a.crossTileID],b=_===t.WritingMode.vertical,w=_===t.WritingMode.horizontal||_===t.WritingMode.horizontalOnly;if(v){var T=Oe(y.text),k=b?De:T;d(e.text,s,k);var A=w?De: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||b?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,_);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var C=Oe(y.icon),L=!(f&&a.verticalPlacedIconSymbolIndex&&b);if(a.placedIconSymbolIndex>=0){var I=L?C:De;d(e.icon,a.numIconVertices,I),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var P=L?De:C;d(e.icon,a.numVerticalIconVertices,P),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var z=e.collisionArrays[n];if(z){var O=new t.Point(0,0);if(z.textBox||z.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[m];R?(O=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&O._rotate(h?i.transform.angle:-i.transform.angle)):D=!1}z.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!D||b,O.x,O.y),z.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!D||w,O.x,O.y)}var F=Boolean(!w&&z.verticalIconBox);z.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,f?O.x:0,f?O.y:0),z.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,f?O.x:0,f?O.y:0)}}},g=0;g<e.symbolInstances.length;g++)m(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Ce=Math.pow(2,17),Le=Math.pow(2,16),Ie=Math.pow(2,9),Pe=Math.pow(2,8),ze=Math.pow(2,1);function Oe(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*Ce+e*Le+r*Ie+e*Pe+r*ze+e}var De=0,Re=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var h=e.symbolInstances.get(u);h.crossTileID||(h.crossTileID=r.generate(),i[h.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var qe=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},He=t.pick(qt,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ge=t.pick(qt,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Ze=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),We=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new f,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(Ze,!1)},r.prototype._load=function(e,r){if(!r||!qe(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,h=l.x,f=l.y,p=l.sdf,d=l.pixelRatio,m=l.stretchX,g=l.stretchY,y=l.content,v=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,v,{x:h,y:f},{x:0,y:0},{width:c,height:u}),r[s]={data:v,pixelRatio:d,sdf:p,stretchX:m,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}var l={};for(var c in this.sourceCaches){var u=this.sourceCaches[c];l[c]=u.used,u.used=!1}for(var h=0,f=this._order;h<f.length;h+=1){var p=f[h],d=this._layers[p];d.recalculate(e,this._availableImages),!d.isHidden(e.zoom)&&d.source&&(this.sourceCaches[d.source].used=!0)}for(var m in l){var g=this.sourceCaches[m];l[m]!==g.used&&g.fire(new t.Event(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:m}))}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),qe(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Jt(this.serialize(),e).filter((function(t){return!(t.command in Ge)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in He)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._afterImageUpdated(e)},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._afterImageUpdated(e)},r.prototype._afterImageUpdated=function(e){this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.dispatcher.broadcast(\"setImages\",this._availableImages),this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Pt(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(qe(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is required to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,h=c;u<h.length;u+=1){var f=h[u];i.push(f)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var m=this._order[d];if(r(m))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var v=0,x=t;v<x.length;v+=1){var _=x[v][m];if(_)for(var b=0,w=_;b<w.length;b+=1){var T=w[b];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(B(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,h=Object.keys(l).map(Number);u<h.length;u+=1){var f=h[u];c.push(o[f])}c.sort(N);for(var p=function(){var r=m[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,h=c;u<h.length;u+=1){var f=h[u];o.push(f)}}},d=0,m=c;d<m.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&qe(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var h=u[c],f=this._layers[h];if(\"symbol\"===f.type){if(!l[f.source]){var p=this.sourceCaches[f.source];l[f.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(f,l[f.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var m=0,g=this._order;m<g.length;m+=1){var y=g[m],v=this._layers[y];\"symbol\"===v.type&&this.placement.updateLayerOpacities(v,l[v.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);We.getSourceType=function(t){return R[t]},We.setSourceType=function(t,e){R[t]=e},We.registerForPluginStateChange=t.registerForPluginStateChange;var Ye=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Xe=br(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),$e=br(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Je=br(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Ke=br(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Qe=br(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),tr=br(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),er=br(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),rr=br(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),nr=br(\"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=br(\"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=br(\"#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=br(\"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=br(\"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=br(\"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);}\"),cr=br(\"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;}\"),ur=br(\"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;}\"),hr=br(\"#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;}\"),fr=br(\"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=br(\"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=br(\"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);}\"),mr=br(\"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=br(\"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=br(\"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;}\"),vr=br(\"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=br(\"#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);}\"),_r=br(\"#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 br(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:Xe,background:$e,backgroundPattern:Je,circle:Ke,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:cr,fillExtrusionPattern:ur,hillshadePrepare:hr,hillshade:fr,line:pr,lineGradient:dr,linePattern:mr,lineSDF:gr,raster:yr,symbolIcon:vr,symbolSDF:xr,symbolTextAndIcon:_r}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};function kr(t){for(var e=[],r=0;r<t.length;r++)if(null!==t[r]){var n=t[r].split(\" \");e.push(n.pop())}return e}Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var h=l;h<s;h++)u.disableVertexAttribArray(h)}e.enableAttributes(u,t);for(var f=0,p=r;f<p.length;f+=1)p[f].enableAttributes(u,t);a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,m=r;d<m.length;d+=1){var g=m[d];g.bind(),g.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var Ar=function(t,e,r,n,i,a){var o=t.gl;this.program=o.createProgram();for(var s=kr(r.staticAttributes),l=n?n.getBinderAttributes():[],c=s.concat(l),u=r.staticUniforms?kr(r.staticUniforms):[],h=n?n.getBinderUniforms():[],f=[],p=0,d=u.concat(h);p<d.length;p+=1){var m=d[p];f.indexOf(m)<0&&f.push(m)}var g=n?n.defines():[];a&&g.push(\"#define OVERDRAW_INSPECTOR;\");var y=g.concat(Xe.fragmentSource,r.fragmentSource).join(\"\\n\"),v=g.concat(Xe.vertexSource,r.vertexSource).join(\"\\n\"),x=o.createShader(o.FRAGMENT_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(x,y),o.compileShader(x),o.attachShader(this.program,x);var _=o.createShader(o.VERTEX_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(_,v),o.compileShader(_),o.attachShader(this.program,_),this.attributes={};var b={};this.numAttributes=c.length;for(var w=0;w<this.numAttributes;w++)c[w]&&(o.bindAttribLocation(this.program,w,c[w]),this.attributes[c[w]]=w);o.linkProgram(this.program),o.deleteShader(_),o.deleteShader(x);for(var T=0;T<f.length;T++){var k=f[T];if(k&&!b[k]){var A=o.getUniformLocation(this.program,k);A&&(b[k]=A)}}this.fixedUniforms=i(t,b),this.binderUniforms=n?n.getUniforms(t,b):[]}}};function Mr(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m){var g,y=t.gl;if(!this.failedToCreate){for(var v in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[v].set(o[v]);p&&p.setUniforms(t,this.binderUniforms,h,{zoom:f});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],_=0,b=u.get();_<b.length;_+=1){var w=b[_],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,m),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 c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.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})},Cr=function(t){return{u_matrix:t}},Lr=function(e,r,n,i){return t.extend(Cr(e),Mr(n,r,i))},Ir=function(t,e){return{u_matrix:t,u_world:e}},Pr=function(e,r,n,i,a){return t.extend(Lr(e,r,n,i),{u_world:a})},zr=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}},Or=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}},Dr=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,c,u,h=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),h),u_image:0,u_latrange:(l=r.tileID,c=Math.pow(2,l.canonical.z),u=l.canonical.y,[new t.MercatorCoordinate(0,u/c).toLngLat().lat,new t.MercatorCoordinate(0,(u+1)/c).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:Wr(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=Zr(r,a);return{u_matrix:Wr(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=Zr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),h=s.getDash(i.to,c),f=u.width*a.fromScale,p=h.width*a.toScale;return t.extend(Vr(e,r,n),{u_patternscale_a:[l/f,-u.height/2],u_patternscale_b:[l/p,-h.height/2],u_sdfgamma:s.width/(256*Math.min(f,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:h.y,u_mix:a.t})};function Zr(t,e){return 1/ge(t,1,e.tileZoom)}function Wr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Yr=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:Xr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Xr(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 $r,Jr=function(t,e,r,n,i,a,o,s,l,c){var u=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:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.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:c,u_texture:0}},Kr=function(e,r,n,i,a,o,s,l,c,u,h){var f=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(f._pitch)*f.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+h})},Qr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Kr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,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,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,h=u*(n.tileID.canonical.x+n.tileID.wrap*c),f=u*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:[h>>16,f>>16],u_pixel_coord_lower:[65535&h,65535&f]}}(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,c=l.gl,u=e.useProgram(\"collisionBox\"),h=[],f=0,p=0,d=0;d<i.length;d++){var m=i[d],g=r.getTile(m),y=g.getBucket(n);if(y){var v=m.posMatrix;0===a[0]&&0===a[1]||(v=e.translatePosMatrix(m.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,_=y.collisionCircleArray;if(_.length>0){var b=t.create(),w=v;t.mul(b,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(b,b,y.placementViewportMatrix),h.push({circleArray:_,circleOffset:p,transform:w,invTransform:b}),p=f+=_.length/4}x&&u.draw(l,c.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Lt.disabled,Or(v,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&h.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*f),k._trim();for(var A=0,M=0,S=h;M<S.length;M+=1)for(var E=S[M],C=0;C<E.circleArray.length/4;C++){var L=4*C,I=E.circleArray[L+0],P=E.circleArray[L+1],z=E.circleArray[L+2],O=E.circleArray[L+3];k.emplace(A++,I,P,z,O,0),k.emplace(A++,I,P,z,O,1),k.emplace(A++,I,P,z,O,2),k.emplace(A++,I,P,z,O,3)}(!$r||$r.length<2*f)&&($r=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(f));for(var D=l.createIndexBuffer($r,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=h;F<B.length;F+=1){var N=B[F],j=Dr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Lt.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var an=t.identity(new Float32Array(16));function on(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function sn(e,r,n,i,a,o,s,l,c,u,h){var f=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,m={};p.clear();for(var g=0;g<f.length;g++){var y=f.get(g),v=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||v?null:i[y.crossTileID];if(x){var _=new t.Point(y.anchorX,y.anchorY),b=re(_,n?l:s),w=ne(o.cameraToCenterDistance,b.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,A=x.height,M=on(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(_.add(M),s).point:b.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,C=0;C<y.numGlyphs;C++)t.addDynamicAttributes(p,S,E);h&&y.associatedIconIndex>=0&&(m[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else fe(y.numGlyphs,p)}if(h){d.clear();for(var L=e.icon.placedSymbolArray,I=0;I<L.length;I++){var P=L.get(I);if(P.hidden)fe(P.numGlyphs,d);else{var z=m[I];if(z)for(var O=0;O<P.numGlyphs;O++)t.addDynamicAttributes(d,z.shiftedAnchor,z.angle);else fe(P.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function ln(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function cn(e,r,n,i,a,o,s,l,c,u,h,f){for(var p=e.context,d=p.gl,m=e.transform,g=\"map\"===l,y=\"map\"===c,v=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!y&&!v,_=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),b=!1,w=e.depthModeForSublayer(0,Mt.ReadOnly),T=n.layout.get(\"text-variable-anchor\"),k=[],A=0,M=i;A<M.length;A+=1){var S=M[A],E=r.getTile(S),C=E.getBucket(n);if(C){var L=a?C.text:C.icon;if(L&&L.segments.get().length){var I=L.programConfigurations.get(n.id),P=a||C.sdfIcons,z=a?C.textSizeData:C.iconSizeData,O=y||0!==m.pitch,D=e.useProgram(ln(P,a,C),I),R=t.evaluateSizeForZoom(z,m.zoom),F=void 0,B=[0,0],N=void 0,j=void 0,U=null,V=void 0;if(a){if(N=E.glyphAtlasTexture,j=d.LINEAR,F=E.glyphAtlasTexture.size,C.iconsInText){B=E.imageAtlasTexture.size,U=E.imageAtlasTexture;var q=\"composite\"===z.kind||\"camera\"===z.kind;V=O||e.options.rotating||e.options.zooming||q?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||C.iconsNeedLinear;N=E.imageAtlasTexture,j=P||e.options.rotating||e.options.zooming||H||O?d.LINEAR:d.NEAREST,F=E.imageAtlasTexture.size}var G=ge(E,1,e.transform.zoom),Z=te(S.posMatrix,y,g,e.transform,G),W=ee(S.posMatrix,y,g,e.transform,G),Y=T&&C.hasTextData(),X=\"none\"!==n.layout.get(\"icon-text-fit\")&&Y&&C.hasIconData();v&&ae(C,S.posMatrix,e,a,Z,W,y,u);var $=e.translatePosMatrix(S.posMatrix,E,o,s),J=v||a&&T||X?an:Z,K=e.translatePosMatrix(W,E,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),tt={program:D,buffers:L,uniformValues:P?C.iconsInText?Qr(z.kind,R,x,y,e,$,J,K,F,B):Kr(z.kind,R,x,y,e,$,J,K,a,F,!0):Jr(z.kind,R,x,y,e,$,J,K,a,F),atlasTexture:N,atlasTextureIcon:U,atlasInterpolation:j,atlasInterpolationIcon:V,isSDF:P,hasHalo:Q};if(_&&C.canOverlap){b=!0;for(var et=0,rt=L.segments.get();et<rt.length;et+=1){var nt=rt[et];k.push({segments:new t.SegmentVector([nt]),sortKey:nt.sortKey,state:tt})}}else k.push({segments:L.segments,sortKey:0,state:tt})}}}b&&k.sort((function(t,e){return t.sortKey-e.sortKey}));for(var it=0,at=k;it<at.length;it+=1){var ot=at[it],st=ot.state;if(p.activeTexture.set(d.TEXTURE0),st.atlasTexture.bind(st.atlasInterpolation,d.CLAMP_TO_EDGE),st.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),st.atlasTextureIcon&&st.atlasTextureIcon.bind(st.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),st.isSDF){var lt=st.uniformValues;st.hasHalo&&(lt.u_is_halo=1,un(st.buffers,ot.segments,n,e,st.program,w,h,f,lt)),lt.u_is_halo=0}un(st.buffers,ot.segments,n,e,st.program,w,h,f,st.uniformValues)}}function un(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,Lt.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function hn(t,e,r,n,i,a,o){var s,l,c,u,h,f=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),m=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=f.LINES):(l=d?\"fillPattern\":\"fill\",s=f.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var v=y[g],x=e.getTile(v);if(!d||x.patternsLoaded()){var _=x.getBucket(r);if(_){var b=_.programConfigurations.get(r.id),w=t.useProgram(l,b);d&&(t.context.activeTexture.set(f.TEXTURE0),x.imageAtlasTexture.bind(f.LINEAR,f.CLAMP_TO_EDGE),b.updatePaintBuffers(m));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&b.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(v.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=_.indexBuffer2,h=_.segments2;var E=[f.drawingBufferWidth,f.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Pr(S,t,m,x,E):Ir(S,E)}else u=_.indexBuffer,h=_.segments,c=d?Lr(S,t,m,x):Cr(S);w.draw(t.context,s,i,t.stencilModeForClipping(v),a,Lt.disabled,c,r.id,_.layoutVertexBuffer,u,h,r.paint,t.transform.zoom,b)}}}}function fn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),h=r.getCrossfadeParameters(),f=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var m=d[p],g=e.getTile(m),y=g.getBucket(r);if(y){var v=y.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",v);u&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),v.updatePaintBuffers(h));var _=c.constantOr(null);if(_&&g.imageAtlas){var b=g.imageAtlas,w=b.patternPositions[_.to.toString()],T=b.patternPositions[_.from.toString()];w&&T&&v.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(m.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=u?Er(k,t,A,f,m,h,g):Sr(k,t,A,f);x.draw(s,s.gl.TRIANGLES,i,a,o,Lt.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,v)}}}function pn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=jr(t,e,r);c.draw(o,s.TRIANGLES,n,i,a,Lt.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function dn(e,r,n,i,a,o){var s=e.context,l=s.gl,c=r.dem;if(c&&c.data){var u=c.dim,h=c.stride,f=c.getPixels();if(s.activeTexture.set(l.TEXTURE1),s.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var p=r.demTexture;p.update(f,{premultiply:!1}),p.bind(l.NEAREST,l.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(s,f,l.RGBA,{premultiply:!1}),r.demTexture.bind(l.NEAREST,l.CLAMP_TO_EDGE);s.activeTexture.set(l.TEXTURE0);var d=r.fbo;if(!d){var m=new t.Texture(s,{width:u,height:u,data:null},l.RGBA);m.bind(l.LINEAR,l.CLAMP_TO_EDGE),(d=r.fbo=s.createFramebuffer(u,u,!0)).colorAttachment.set(m.texture)}s.bindFramebuffer.set(d.framebuffer),s.viewport.set([0,0,u,u]),e.useProgram(\"hillshadePrepare\").draw(s,l.TRIANGLES,i,a,o,Lt.disabled,Ur(r.tileID,c),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function mn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),h=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),f=!r||Math.abs(r.tileID.overscaledZ-h)>Math.abs(e.tileID.overscaledZ-h),p=f&&e.refreshedUponExpiration?1:t.clamp(f?l:1-c,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),vn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),_n=new t.Color(0,1,1,1);function bn(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,vn),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,_n)}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,c=Et.disabled,u=e.colorModeForRenderPass(),h=\"$debug\";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Lt.disabled,Rr(o,t.Color.red),h,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,p=f&&f.byteLength||0,d=Math.floor(p/1024),m=r.getTile(n).tileSize,g=512/Math.min(m,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,c,Ct.alphaBlended,Lt.disabled,Rr(o,t.Color.transparent,g),h,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,c=\"map\"===a,u=\"map\"===o,h=0,f=e;h<f.length;h+=1){var p=f[h],d=i.getTile(p),m=d.getBucket(n);if(m&&m.text&&m.text.segments.get().length){var g=m.textSizeData,y=t.evaluateSizeForZoom(g,l.zoom),v=ge(d,1,r.transform.zoom),x=te(p.posMatrix,u,c,r.transform,v),_=\"none\"!==n.layout.get(\"icon-text-fit\")&&m.hasIconData();if(y){var b=Math.pow(2,l.zoom-d.tileID.overscaledZ);sn(m,c,u,s,t.symbolSize,l,x,p.posMatrix,b,y,_)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&cn(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&cn(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(nn(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),nn(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,h=e.depthModeForSublayer(0,Mt.ReadOnly),f=Et.disabled,p=e.colorModeForRenderPass(),d=[],m=0;m<i.length;m++){var g=i[m],y=r.getTile(g),v=y.getBucket(n);if(v){var x=v.programConfigurations.get(n.id),_={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:v.layoutVertexBuffer,indexBuffer:v.indexBuffer,uniformValues:zr(e,g,y,n)};if(l)for(var b=0,w=v.segments.get();b<w.length;b+=1){var T=w[b];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:_})}else d.push({segments:v.segments,sortKey:0,state:_})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,C=S.program,L=S.layoutVertexBuffer,I=S.indexBuffer,P=S.uniformValues,z=M.segments;C.draw(c,u.TRIANGLES,h,f,p,Lt.disabled,P,n.id,L,I,z,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Ct([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);(function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var h=r.getTile(u),f=h.getBucket(n);if(f){var p=f.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),m=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Lt.disabled,Br(u.posMatrix,h,m,n.paint.get(\"heatmap-intensity\")),n.id,f.layoutVertexBuffer,f.indexBuffer,f.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Lt.disabled,Nr(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1))for(var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),h=u.constantOr(1),f=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=h?\"linePattern\":c?\"lineSDF\":f?\"lineGradient\":\"line\",m=e.context,g=m.gl,y=!0,v=0,x=i;v<x.length;v+=1){var _=x[v],b=r.getTile(_);if(!h||b.patternsLoaded()){var w=b.getBucket(n);if(w){var T=w.programConfigurations.get(n.id),k=e.context.program.get(),A=e.useProgram(d,T),M=y||A.program!==k,S=u.constantOr(null);if(S&&b.imageAtlas){var E=b.imageAtlas,C=E.patternPositions[S.to.toString()],L=E.patternPositions[S.from.toString()];C&&L&&T.setConstantPatternPositions(C,L)}var I=h?Hr(e,b,n,p):c?Gr(e,b,n,c,p):f?qr(e,b,n,w.lineClipsArray.length):Vr(e,b,n);if(h)m.activeTexture.set(g.TEXTURE0),b.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),T.updatePaintBuffers(p);else if(c&&(M||e.lineAtlas.dirty))m.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(m);else if(f){var P=w.gradients[n.id],z=P.texture;if(n.gradientVersion!==P.version){var O=256;if(n.stepInterpolant){var D=r.getSource().maxzoom,R=_.canonical.z===D?Math.ceil(1<<e.transform.maxZoom-_.canonical.z):1,F=w.maxLineLength/t.EXTENT*1024*R;O=t.clamp(t.nextPowerOfTwo(F),256,m.maxTextureSize)}P.gradient=t.renderColorRamp({expression:n.gradientExpression(),evaluationKey:\"lineProgress\",resolution:O,image:P.gradient||void 0,clips:w.lineClipsArray}),P.texture?P.texture.update(P.gradient):P.texture=new t.Texture(m,P.gradient,g.RGBA),P.version=n.gradientVersion,z=P.texture}m.activeTexture.set(g.TEXTURE0),z.bind(n.stepInterpolant?g.NEAREST:g.LINEAR,g.CLAMP_TO_EDGE)}A.draw(m,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Lt.disabled,I,n.id,w.layoutVertexBuffer,w.indexBuffer,w.segments,n.paint,e.transform.zoom,T,w.layoutVertexBuffer2),y=!1}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);hn(e,r,n,i,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var h=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);hn(e,r,n,i,h,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))fn(t,e,r,n,a,Et.disabled,Ct.disabled),fn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();fn(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=t.depthModeForSublayer(0,Mt.ReadOnly),o=t.colorModeForRenderPass(),s=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],l=s[0],c=0,u=s[1];c<u.length;c+=1){var h=u[c],f=e.getTile(h);f.needsHillshadePrepare&&\"offscreen\"===t.renderPass?dn(t,f,r,a,Et.disabled,o):\"translucent\"===t.renderPass&&pn(t,f,r,a,l[h.overscaledZ],o)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof z?[{},n]:t.stencilConfigForOverlap(n),u=c[0],h=c[1],f=h[h.length-1].overscaledZ,p=!t.options.moving,d=0,m=h;d<m.length;d+=1){var g=m[d],y=t.depthModeForSublayer(g.overscaledZ-f,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),v=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);v.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var _=e.findLoadedParent(g,0),b=mn(v,_,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),v.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),_?(_.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,_.tileID.overscaledZ-v.tileID.overscaledZ),T=[v.tileID.canonical.x*w%1,v.tileID.canonical.y*w%1]):v.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Yr(x,T||[0,0],w||1,b,r);o instanceof z?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Lt.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,u[g.overscaledZ],l,Lt.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var h=Et.disabled,f=t.depthModeForSublayer(0,\"opaque\"===u?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),m=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,v=m;y<v.length;y+=1){var x=v[y],_=t.transform.calculatePosMatrix(x.toUnwrapped()),b=c?en(_,i,t,c,{tileID:x,tileSize:l},g):tn(_,i,n);d.draw(a,o.TRIANGLES,f,h,p,Lt.disabled,b,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)An(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o=\"3d\"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Sn=function(t,e){this.context=new It(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Pt.maxUnderzooming+Pt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Sn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},Sn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Ye.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Ye.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ye.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Sn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,Ct.disabled,Lt.disabled,Fr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Sn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Ct.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Ct.disabled,Lt.disabled,Fr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Sn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Sn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Ct([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Ct.unblended:Ct.alphaBlended},Sn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Sn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Sn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},h={},f={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),h[p]=u[p].slice().reverse(),f[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var m=0;m<i.length;m++){var g=i[m];if(this.style._layers[g].is3D()){this.opaquePassCutoff=m;break}}this.renderPass=\"offscreen\";for(var y=0,v=i;y<v.length;y+=1){var x=v[y],_=this.style._layers[x];if(_.hasOffscreenPass()&&!_.isHidden(this.transform.zoom)){var b=h[_.source];(\"custom\"===_.type||b.length)&&this.renderLayer(this,a[_.source],_,b)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?f:h)[A.source];this._renderTileClippingMasks(A,u[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&Mn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&bn(this),this.context.setDefault()},Sn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),Mn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Sn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},Sn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Sn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Sn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},Sn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},Sn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Sn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Sn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Sn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new Ar(this.context,t,wr[t],e,rn[t],this._showOverdrawInspector)),this.cache[r]},Sn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Sn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Sn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Sn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var En=function(t,e){this.points=t,this.planes=e};En.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new En(a,o)};var Cn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Cn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Cn(n,i)},Cn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Cn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Cn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,h=0;h<e.points.length;h++){var f=e.points[h][l]-this.min[l];c=Math.min(c,f),u=Math.max(u,f)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var Ln=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};Ln.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},Ln.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)},Ln.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Ln.prototype.clone=function(){return new Ln(this.top,this.bottom,this.left,this.right)},Ln.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var In=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 Ln,this._posMatrixCache={},this._alignedPosMatrixCache={}},Pn={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}};In.prototype.clone=function(){var t=new In(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},Pn.minZoom.get=function(){return this._minZoom},Pn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Pn.maxZoom.get=function(){return this._maxZoom},Pn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Pn.minPitch.get=function(){return this._minPitch},Pn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Pn.maxPitch.get=function(){return this._maxPitch},Pn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Pn.renderWorldCopies.get=function(){return this._renderWorldCopies},Pn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Pn.worldSize.get=function(){return this.tileSize*this.scale},Pn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Pn.size.get=function(){return new t.Point(this.width,this.height)},Pn.bearing.get=function(){return-this.angle/Math.PI*180},Pn.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))},Pn.pitch.get=function(){return this._pitch/Math.PI*180},Pn.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())},Pn.fov.get=function(){return this._fov/Math.PI*180},Pn.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())},Pn.zoom.get=function(){return this._zoom},Pn.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())},Pn.center.get=function(){return this._center},Pn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Pn.padding.get=function(){return this._edgeInsets.toJSON()},Pn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Pn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},In.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},In.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},In.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)},In.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)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},In.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=En.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Cn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],h=[],f=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var m=u.pop(),g=m.x,y=m.y,v=m.fullyVisible;if(!v){var x=m.aabb.intersects(s);if(0===x)continue;v=2===x}var _=m.aabb.distanceX(o),b=m.aabb.distanceY(o),w=Math.max(Math.abs(_),Math.abs(b)),T=3+(1<<f-m.zoom)-2;if(m.zoom===f||w>T&&m.zoom>=l)h.push({tileID:new t.OverscaledTileID(m.zoom===f?p:m.zoom,m.wrap,m.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);u.push({aabb:m.aabb.quadrant(k),zoom:m.zoom+1,x:A,y:M,wrap:m.wrap,fullyVisible:v})}}return h.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},In.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Pn.unmodified.get=function(){return this._unmodified},In.prototype.zoomScale=function(t){return Math.pow(2,t)},In.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},In.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)},In.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Pn.point.get=function(){return this.project(this.center)},In.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())},In.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},In.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},In.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},In.prototype.coordinateLocation=function(t){return t.toLngLat()},In.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,c=n[1]/a,u=r[2]/i,h=n[2]/a,f=u===h?0:(0-u)/(h-u);return new t.MercatorCoordinate(t.number(o,s,f)/this.worldSize,t.number(l,c,f)/this.worldSize)},In.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])},In.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)))},In.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},In.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])},In.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]},In.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},In.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,c=this.size,u=this._unmodified;if(this.latRange){var h=this.latRange;a=t.mercatorYfromLat(h[1])*this.worldSize,e=(o=t.mercatorYfromLat(h[0])*this.worldSize)-a<c.y?c.y/(o-a):0}if(this.lngRange){var f=this.lngRange;s=t.mercatorXfromLng(f[0])*this.worldSize,r=(l=t.mercatorXfromLng(f[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var m=p.y,g=c.y/2;m-g<a&&(i=a+g),m+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,v=c.x/2;y-v<s&&(n=s+v),y+v>l&&(n=l-v)}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=u,this._constraining=!1}},In.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,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,h=new Float64Array(16);t.perspective(h,this._fov,this.width/this.height,u,c),h[8]=2*-r.x/this.width,h[9]=2*r.y/this.height,t.scale(h,h,[1,-1,1]),t.translate(h,h,[0,0,-this.cameraToCenterDistance]),t.rotateX(h,h,this._pitch),t.rotateZ(h,h,this.angle),t.translate(h,h,[-s,-l,0]),this.mercatorMatrix=t.scale([],h,[this.worldSize,this.worldSize,this.worldSize]),t.scale(h,h,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=h,this.invProjMatrix=t.invert([],this.projMatrix);var f=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),m=Math.sin(this.angle),g=s-Math.round(s)+d*f+m*p,y=l-Math.round(l)+d*p+m*f,v=new Float64Array(h);if(t.translate(v,v,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=v,h=t.create(),t.scale(h,h,[this.width/2,-this.height/2,1]),t.translate(h,h,[1,-1,0]),this.labelPlaneMatrix=h,h=t.create(),t.scale(h,h,[1,-1,1]),t.translate(h,h,[-1,-1,0]),t.scale(h,h,[2/this.width,2/this.height,1]),this.glCoordMatrix=h,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(h=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=h,this._posMatrixCache={},this._alignedPosMatrixCache={}}},In.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},In.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},In.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(In.prototype,Pn);var zn=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};zn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},zn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},zn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var h=this._hashName,f=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===h?(f=!0,e+\"=\"+u):t})).filter((function(t){return t}));return f||p.push(h+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},zn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},zn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},zn.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 On={linearity:.3,easing:t.bezier(0,0,.3,1)},Dn=t.extend({deceleration:2500,maxSpeed:1400},On),Rn=t.extend({deceleration:20,maxSpeed:1400},On),Fn=t.extend({deceleration:1e3,maxSpeed:360},On),Bn=t.extend({deceleration:1e3,maxSpeed:90},On),Nn=function(t){this._map=t,this.clear()};function jn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Un(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Nn.prototype.clear=function(){this._inertiaBuffer=[]},Nn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Nn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Nn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Un(r.pan.mag(),o,t.extend({},Dn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,jn(s,l)}if(r.zoom){var c=Un(r.zoom,o,Rn);s.zoom=this._map.transform.zoom+c.amount,jn(s,c)}if(r.bearing){var u=Un(r.bearing,o,Fn);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),jn(s,u)}if(r.pitch){var h=Un(r.pitch,o,Bn);s.pitch=this._map.transform.pitch+h.amount,jn(s,h)}if(s.zoom||s.bearing){var f=void 0===r.pinchAround?r.around:r.pinchAround;s.around=f?this._map.unproject(f):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Vn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),qn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Hn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Gn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Gn.prototype.reset=function(){delete this._mousedownPos},Gn.prototype.wheel=function(t){return this._firePreventable(new Hn(t.type,this._map,t))},Gn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseup=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.dblclick=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseover=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.mouseout=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.touchstart=function(t){return this._firePreventable(new qn(t.type,this._map,t))},Gn.prototype.touchmove=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchend=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchcancel=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Zn=function(t){this._map=t};Zn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Zn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t))},Zn.prototype.mousedown=function(){this._delayContextMenu=!0},Zn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Vn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Zn.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()},Zn.prototype.isEnabled=function(){return!0},Zn.prototype.isActive=function(){return!1},Zn.prototype.enable=function(){},Zn.prototype.disable=function(){};var Wn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Yn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Wn.prototype.isEnabled=function(){return!!this._enabled},Wn.prototype.isActive=function(){return!!this._active},Wn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Wn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Wn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Wn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Wn.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Wn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Wn.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Wn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Xn=function(t){this.reset(),this.numTouches=t.numTouches};Xn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Xn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Yn(n,r)))},Xn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Yn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Xn.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 $n=function(t){this.singleTap=new Xn(t),this.numTaps=t.numTaps,this.reset()};$n.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},$n.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},$n.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},$n.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 $n({numTouches:1,numTaps:2}),this._zoomOut=new $n({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 Kn={};Kn[0]=1,Kn[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=Kn[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton))this.reset();else if(this._moved||!(e.dist(r)<this._clickTolerance))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Qn.prototype.mouseupWindow=function(t){this._lastPoint&&r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Qn.prototype.enable=function(){this._enabled=!0},Qn.prototype.disable=function(){this._enabled=!1,this.reset()},Qn.prototype.isEnabled=function(){return this._enabled},Qn.prototype.isActive=function(){return this._active};var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Qn),ei=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ni=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};ni.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},ni.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},ni.prototype.touchmove=function(t,e,r){if(this._active&&!(r.length<this._minTouches))return t.preventDefault(),this._calculateTransform(t,e,r)},ni.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},ni.prototype.touchcancel=function(){this.reset()},ni.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Yn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var h=o.div(s);if(this._sum._add(h),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:h}}},ni.prototype.enable=function(){this._enabled=!0},ni.prototype.disable=function(){this._enabled=!1,this.reset()},ni.prototype.isEnabled=function(){return this._enabled},ni.prototype.isActive=function(){return this._active};var ii=function(){this.reset()};function ai(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}ii.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ii.prototype._start=function(t){},ii.prototype._move=function(t,e,r){return{}},ii.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},ii.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ai(r,e,i),s=ai(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},ii.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ai(n,e,a),l=ai(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},ii.prototype.touchcancel=function(){this.reset()},ii.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},ii.prototype.disable=function(){this._enabled=!1,this.reset()},ii.prototype.isEnabled=function(){return this._enabled},ii.prototype.isActive=function(){return this._active};function oi(t,e){return Math.log(t/e)/Math.LN2}var si=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(oi(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:oi(this._distance,r),pinchAround:e}},e}(ii);function li(t,e){return 180*t.angleWith(e)/Math.PI}var ci=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:li(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=li(t,this._startVector);return Math.abs(r)<e},e}(ii);function ui(t){return Math.abs(t.y)>Math.abs(t.x)}var hi=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,ui(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 ui(t)&&ui(e)&&a}},e}(ii),fi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=fi;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 mi=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%mi==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)>mi?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,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var h=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),f=c(h);o=t.number(l,s,f),h<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,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 vi=function(){this.reset()};vi.prototype.reset=function(){this._active=!1},vi.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})}}},vi.prototype.enable=function(){this._enabled=!0},vi.prototype.disable=function(){this._enabled=!1,this.reset()},vi.prototype.isEnabled=function(){return this._enabled},vi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new $n({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 _i=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};_i.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},_i.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},_i.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},_i.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var bi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};bi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},bi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},bi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},bi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var wi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};wi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},wi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},wi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},wi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},wi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},wi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var Ti=function(t){return t.zoom||t.drag||t.pitch||t.rotate},ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ai(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var Mi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Nn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!0}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1],u=s[2];r.addEventListener(l,c,l===t.window.document?this.handleWindowEvent:this.handleEvent,u)}};Mi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},Mi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Gn(e,t));var n=e.boxZoom=new Wn(e,t);this._add(\"boxZoom\",n);var i=new Jn,a=new vi;e.doubleClickZoom=new yi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new xi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new hi;this._add(\"touchPitch\",s);var l=new ei(t),c=new ri(t);e.dragRotate=new bi(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new ti(t),h=new ni(t);e.dragPan=new _i(r,u,h),this._add(\"mousePan\",u),this._add(\"touchPan\",h,[\"touchZoom\",\"touchRotate\"]);var f=new ci,p=new si;e.touchZoomRotate=new wi(r,p,f,o),this._add(\"touchRotate\",f,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new gi(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var m=e.keyboard=new pi;this._add(\"keyboard\",m),this._add(\"blockableMapEvent\",new Zn(e));for(var g=0,y=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<y.length;g+=1){var v=y[g];t.interactive&&t[v]&&e[v].enable(t[v])}},Mi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},Mi.prototype.stop=function(t){if(!this._updatingCamera){for(var e=0,r=this._handlers;e<r.length;e+=1)r[e].handler.reset();this._inertia.clear(),this._fireEvents({},{},t),this._changes=[]}},Mi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},Mi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},Mi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},Mi.prototype.isMoving=function(){return Boolean(Ti(this._eventsInProgress))||this.isZooming()},Mi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},Mi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},Mi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},Mi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var h=u[c],f=h.handlerName,p=h.handler,d=h.allowed;if(p.isEnabled()){var m=void 0;this._blockedByActive(o,d,f)?p.reset():p[e||t.type]&&(m=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,m,f,n),m&&m.needsRenderFrame&&this._triggerRenderFrame()),(m||p.isActive())&&(o[f]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||Ai(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||Ai(i))&&this._map._stop(!0),this._updatingCamera=!1;var v=i.cameraAnimation;v&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],v(this._map))}else this.stop(!0)},Mi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},Mi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},Mi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!Ai(t))return this._fireEvents(e,r,!0);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var h=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(h,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r,!0)},Mi.prototype._fireEvents=function(e,r,n){var i=this,a=Ti(this._eventsInProgress),o=Ti(e),s={};for(var l in e){var c=e[l].originalEvent;this._eventsInProgress[l]||(s[l+\"start\"]=c),this._eventsInProgress[l]=e[l]}for(var u in!a&&o&&this._fireEvent(\"movestart\",o.originalEvent),s)this._fireEvent(u,s[u]);for(var h in o&&this._fireEvent(\"move\",o.originalEvent),e){var f=e[h].originalEvent;this._fireEvent(h,f)}var p,d={};for(var m in this._eventsInProgress){var g=this._eventsInProgress[m],y=g.handlerName,v=g.originalEvent;this._handlersById[y].isActive()||(delete this._eventsInProgress[m],p=r[y]||v,d[m+\"end\"]=p)}for(var x in d)this._fireEvent(x,d[x]);var _=Ti(this._eventsInProgress);if(n&&(a||o)&&!_){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),w=function(t){return 0!==t&&-i._bearingSnap<t&&t<i._bearingSnap};b?(w(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:p})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:p})),w(this._map.getBearing())&&this._map.resetNorth()),this._updatingCamera=!1}},Mi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},Mi.prototype._requestFrame=function(){var t=this;return this._map.triggerRepaint(),this._map._renderTaskQueue.add((function(e){delete t._frameId,t.handleEvent(new ki(\"renderFrame\",{timeStamp:e})),t._applyChanges()}))},Mi.prototype._triggerRenderFrame=function(){void 0===this._frameId&&(this._frameId=this._requestFrame())};var Si=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){e=t.LngLatBounds.convert(e);var n=r&&r.bearing||0;return this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),n,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),h=c.rotate(-n*Math.PI/180),f=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(h.x,f.x),Math.max(h.y,f.y)),d=new t.Point(Math.min(h.x,f.x),Math.min(h.y,f.y)),m=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/m.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/m.y;if(!(y<0||g<0)){var v=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=\"number\"==typeof i.offset.x?new t.Point(i.offset.x,i.offset.y):t.Point.convert(i.offset),_=(i.padding.left-i.padding.right)/2,b=(i.padding.top-i.padding.bottom)/2,w=new t.Point(_,b).rotate(n*Math.PI/180),T=x.add(w).mult(s.scale/s.zoomScale(v));return{center:s.unproject(c.add(u).div(2).sub(T)),zoom:v,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:a,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,h=\"pitch\"in e?+e.pitch:s,f=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),m=i.pointLocation(d),g=t.LngLat.convert(e.center||m);this._normalizeCenter(g);var y,v,x=i.project(m),_=i.project(g).sub(x),b=i.zoomScale(c-a);e.around&&(y=t.LngLat.convert(e.around),v=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||h!==s,this._padding=!i.isPaddingEqual(f),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,h,e)),n._padding&&(i.interpolatePadding(l,f,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,v);else{var m=i.zoomScale(i.zoom-a),g=c>a?Math.min(2,b):Math.max(.5,b),w=Math.pow(g,1-e),T=i.unproject(x.add(_.mult(e*w)).mult(m));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(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,h=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,f=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),m=t.Point.convert(e.offset),g=a.centerPoint.add(m),y=a.pointLocation(g),v=t.LngLat.convert(e.center||y);this._normalizeCenter(v);var x=a.project(y),_=a.project(v).sub(x),b=e.curve,w=Math.max(a.width,a.height),T=w/d,k=_.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);b=Math.sqrt(M/k*2)}var S=b*b;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 C(t){return(Math.exp(t)-Math.exp(-t))/2}function L(t){return(Math.exp(t)+Math.exp(-t))/2}var I=E(0),P=function(t){return L(I)/L(I+b*t)},z=function(t){return w*((L(I)*(C(e=I+b*t)/L(e))-C(I))/S)/k;var e},O=(E(1)-I)/b;if(Math.abs(k)<1e-6||!isFinite(O)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;O=Math.abs(Math.log(T/w))/b,z=function(){return 0},P=function(t){return Math.exp(D*b*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/b:+e.speed;e.duration=1e3*O/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==h,this._pitching=f!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*O,d=1/P(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,h,e)),n._pitching&&(a.pitch=t.number(l,f,e)),n._padding&&(a.interpolatePadding(c,p,e),g=a.centerPoint.add(m));var y=1===e?v:a.unproject(x.add(_.mult(z(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop(!1)}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Ei=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_toggleAttribution\",\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Ei.prototype.getDefaultPosition=function(){return\"bottom-right\"},Ei.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._compactButton=r.create(\"button\",\"mapboxgl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),this._innerContainer.setAttribute(\"role\",\"list\"),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Ei.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Ei.prototype._setElementTitle=function(t,e){var r=this._map._getUIString(\"AttributionControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)},Ei.prototype._toggleAttribution=function(){this._container.classList.contains(\"mapboxgl-compact-show\")?(this._container.classList.remove(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"false\")):(this._container.classList.add(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"true\"))},Ei.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\",this._setElementTitle(e,\"MapFeedback\")}},Ei.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"visibility\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ei.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Ei.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\",\"mapboxgl-compact-show\")};var Ci=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Ci.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},Ci.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Ci.prototype.getDefaultPosition=function(){return\"bottom-left\"},Ci.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Ci.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}},Ci.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 Li=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Li.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Li.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},Li.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Li.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ii={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},Pi=t.window.HTMLImageElement,zi=t.window.HTMLElement,Oi=t.window.ImageBitmap,Di=60,Ri={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:Di,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Fi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Ri,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>Di)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new In(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 Li,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ii,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 zi))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 zn(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 Ci,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&(r=e.getDefaultPosition?e.getDefaultPosition():\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.hasControl=function(t){return this._controls.indexOf(t)>-1},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?Di:t)>Di)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Vn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Vn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Vn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new We(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new We(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof Pi||Oi&&r instanceof Oi){var c=t.browser.getImageData(r),u=c.width,h=c.height,f=c.data;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:h},f),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,m=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(m)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof Pi||Oi&&r instanceof Oi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof Pi||Oi&&r instanceof Oi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\"),this._canvas.setAttribute(\"role\",\"region\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)})),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new Sn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype._onMapScroll=function(t){if(t.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var h=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:h,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var f=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(f);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}var p=this._sourcesDirty||this._styleDirty||this._placementDirty;return p||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new t.Event(\"idle\")),!this._loaded||this._fullyLoaded||p||(this._fullyLoaded=!0),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"orientationchange\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext&&n.loseContext(),Bi(this._canvasContainer),Bi(this._controlContainer),Bi(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(Si);function Bi(t){t.parentNode&&t.parentNode.removeChild(t)}var Ni={showCompass:!0,showZoom:!0,visualizePitch:!1},ji=function(e){var n=this;this.options=t.extend({},Ni,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};ji.prototype._updateZoomButtons=function(){var t=this._map.getZoom(),e=t===this._map.getMaxZoom(),r=t===this._map.getMinZoom();this._zoomInButton.disabled=e,this._zoomOutButton.disabled=r,this._zoomInButton.setAttribute(\"aria-disabled\",e.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",r.toString())},ji.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},ji.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ui(this._map,this._compass,this.options.visualizePitch)),this._container},ji.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},ji.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},ji.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ui=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new ei({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new ri({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Vi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ui.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ui.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ui.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ui.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ui.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ui.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ui.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ui.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ui.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ui.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ui.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var qi={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Hi(t,e,r){var n=t.classList;for(var i in qi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Gi,Zi=function(e){function n(n,i){if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._scale=n&&n.scale||1,this._draggable=n&&n.draggable||!1,this._clickTolerance=n&&n.clickTolerance||0,this._isDragging=!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var a=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");a.setAttributeNS(null,\"display\",\"block\"),a.setAttributeNS(null,\"height\",\"41px\"),a.setAttributeNS(null,\"width\",\"27px\"),a.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");o.setAttributeNS(null,\"stroke\",\"none\"),o.setAttributeNS(null,\"stroke-width\",\"1\"),o.setAttributeNS(null,\"fill\",\"none\"),o.setAttributeNS(null,\"fill-rule\",\"evenodd\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"fill-rule\",\"nonzero\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),l.setAttributeNS(null,\"fill\",\"#000000\");for(var c=0,u=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];c<u.length;c+=1){var h=u[c],f=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");f.setAttributeNS(null,\"opacity\",\"0.04\"),f.setAttributeNS(null,\"cx\",\"10.5\"),f.setAttributeNS(null,\"cy\",\"5.80029008\"),f.setAttributeNS(null,\"rx\",h.rx),f.setAttributeNS(null,\"ry\",h.ry),l.appendChild(f)}var p=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");p.setAttributeNS(null,\"fill\",this._color);var d=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");d.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),p.appendChild(d);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"opacity\",\"0.25\"),m.setAttributeNS(null,\"fill\",\"#000000\");var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),m.appendChild(g);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");v.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");x.setAttributeNS(null,\"fill\",\"#000000\"),x.setAttributeNS(null,\"opacity\",\"0.25\"),x.setAttributeNS(null,\"cx\",\"5.5\"),x.setAttributeNS(null,\"cy\",\"5.5\"),x.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),v.appendChild(x),v.appendChild(_),s.appendChild(l),s.appendChild(p),s.appendChild(m),s.appendChild(y),s.appendChild(v),a.appendChild(s),a.setAttributeNS(null,\"height\",41*this._scale+\"px\"),a.setAttributeNS(null,\"width\",27*this._scale+\"px\"),this._element.appendChild(a),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),Hi(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[r,-1*(24.6+r)],\"bottom-right\":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,qi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){if(!this._isDragging){var r=this._clickTolerance||this._map._clickTolerance;this._isDragging=e.point.dist(this._pointerdownPos)>=r}this._isDragging&&(this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\")))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._pointerdownPos=t.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Wi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Yi=0,Xi=!1,$i=function(e){function n(r){e.call(this),this.options=t.extend({},Wi,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,Yi=0,Xi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Xi)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 Zi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Zi({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\":Yi--,Xi=!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\"),++Yi>1?(e={maximumAge:6e5,timeout:0},Xi=!0):(e=this.options.positionOptions,Xi=!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\"},Ki=function(e){this.options=t.extend({},Ji,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?ta(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):ta(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?ta(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?ta(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):ta(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function ta(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}Ki.prototype.getDefaultPosition=function(){return\"bottom-left\"},Ki.prototype._onMove=function(){Qi(this._map,this._container,this.options)},Ki.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},Ki.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Ki.prototype.setUnit=function(t){this.options.unit=t,Qi(this._map,this._container,this.options)};var ea=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};ea.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},ea.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},ea.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},ea.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},ea.prototype._isFullscreen=function(){return this._fullscreen},ea.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},ea.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var ra={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\"},na=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \"),ia=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ra),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.setOffset=function(t){return this.options.offset=t,this._update(),this},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createCloseButton=function(){this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=aa(this.options.offset);if(!a){var s,l=this._container.offsetWidth,c=this._container.offsetHeight;s=i.y+o.bottom.y<c?[\"top\"]:i.y>this._map.transform.height-c?[\"bottom\"]:[],i.x<l/2?s.push(\"left\"):i.x>this._map.transform.width-l/2&&s.push(\"right\"),a=0===s.length?\"bottom\":s.join(\"-\")}var u=i.add(o[a]).round();r.setTransform(this._container,qi[a]+\" translate(\"+u.x+\"px,\"+u.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:$i,AttributionControl:Ei,ScaleControl:Ki,FullscreenControl:ea,Popup:ia,Marker:Zi,Style:We,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Ft.workerCount},set workerCount(t){Ft.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return oa})),r}()},27549:function(t,e,r){\"use strict\";t.exports=r(55366)},55366:function(t,e,r){\"use strict\";var n=r(31625),i=r(75144),a=r(5137),o=r(78112),s=r(6807),l=r(68650),c=r(83473),u=r(60201),h=r(10275),f=r(62914);function p(t,e){for(var r=e[0],n=e[1],a=1/(e[2]-r),o=1/(e[3]-n),s=new Array(t.length),l=0,c=t.length/2;l<c;l++)s[2*l]=i((t[2*l]-r)*a,0,1),s[2*l+1]=i((t[2*l+1]-n)*o,0,1);return 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t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},74024:function(t,e,r){\"use strict\";var n=r(59518),i=r(6807),a=r(81330),o=r(38862),s=r(93103),l=r(162),c=r(68950),u=r(66127),h=r(5137),f=r(29388),p=r(4957),d=r(44626),m=r(44431),g=r(27976),y=r(12673),v=r(83473),x=r(54689).nextPow2,_=new s,b=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(b=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=_.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),_.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(f(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst 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float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 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return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign 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t.offset&&(t.offset=[t.offset,0]),this.positionOffset=v(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else{var i=t.style,s=t.weight,l=t.stretch,c=t.variant;t=n.parse(n.stringify(t)),i&&(t.style=i),s&&(t.weight=s),l&&(t.stretch=l),c&&(t.variant=c)}var u=n.stringify({size:T.baseFontSize,family:t.family,stretch:b?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),h=p(t.size),f=Math.round(h[0]*d(h[1]));if(f!==e.fontSize[r]&&(o=!0,e.fontSize[r]=f),!(e.font[r]&&u==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[u],e.font[r]))){var m=t.family.join(\", \"),g=[t.style];t.style!=t.variant&&g.push(t.variant),t.variant!=t.weight&&g.push(t.weight),b&&t.weight!=t.stretch&&g.push(t.stretch),e.font[r]={baseString:u,family:m,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(m,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:g.join(\" \")})},T.fonts[u]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:b?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),f=0;f<s.length;f++)s[f]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var _=1;_<t.text.length;_++)this.textOffsets[_]=this.textOffsets[_-1]+t.text[_-1].length,this.count+=t.text[_].length,this.counts.push(t.text[_].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,m(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var C=0;C<S;C++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var L=u.mallocUint8(this.count),I=u.mallocFloat(2*this.count);this.textWidth=[];for(var P=0,z=0;P<this.counts.length;P++){for(var 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n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,-1*(i+=\"number\"==typeof t?t-n.baseline:-n[t])}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=u.mallocUint8(G);for(var Z=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Z(W,W+4),\"uint8\"),W)}else{var Y=t.color.length;H=u.mallocUint8(4*Y);for(var X=0;X<Y;X++)H.set(l(t.color[X]||0,\"uint8\"),4*X)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var $=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array($);for(var J=0;J<this.batch.length;J++)this.batch[J]={count:this.counts.length>1?this.counts[J]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[J]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*J,4*J+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[J]:this.opacity,baseline:null!=this.baselineOffset[J]?this.baselineOffset[J]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[J]?this.alignOffset[J]:this.alignOffset[0]:0,atlas:this.fontAtlas[J]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*J,2*J+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},t.exports=T},38862:function(t,e,r){\"use strict\";var n=r(6807);function 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n=t.segments({inverted:!1,regions:[]}),i=0;i<e.coordinates.length;i++)n=t.selectUnion(t.combine(n,r(e.coordinates[i])));return t.polygon(n)}throw new Error(\"PolyBool: Cannot convert GeoJSON object to PolyBool polygon\")},fromPolygon:function(t,e,r){function n(t,r){return e.pointInsideRegion([.5*(t[0][0]+t[1][0]),.5*(t[0][1]+t[1][1])],r)}function i(t){return{region:t,children:[]}}r=t.polygon(t.segments(r));var a=i(null);function o(t,e){for(var r=0;r<t.children.length;r++)if(n(e,(s=t.children[r]).region))return void o(s,e);var a=i(e);for(r=0;r<t.children.length;r++){var s;n((s=t.children[r]).region,e)&&(a.children.push(s),t.children.splice(r,1),r--)}t.children.push(a)}for(var s=0;s<r.regions.length;s++){var l=r.regions[s];l.length<3||o(a,l)}function c(t,e){for(var r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var u=[];function h(t){var e=[c(t.region,!1)];u.push(e);for(var r=0;r<t.children.length;r++)e.push(f(t.children[r]))}function f(t){for(var e=0;e<t.children.length;e++)h(t.children[e]);return c(t.region,!0)}for(s=0;s<a.children.length;s++)h(a.children[s]);return u.length<=0?{type:\"Polygon\",coordinates:[]}:1==u.length?{type:\"Polygon\",coordinates:u[0]}:{type:\"MultiPolygon\",coordinates:u}}};t.exports=e},26202:function(t,e,r){var n=r(48916);t.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return i=t.isStart,a=t.pt,o=r,s=n.isStart,l=n.pt,c=n.other.pt,(0!==(u=e.pointsCompare(a,l))?u:e.pointsSame(o,c)?0:i!==s?i?1:-1:e.pointAboveOrOnLine(o,s?l:c,s?c:l)?1:-1)<0;var i,a,o,s,l,c,u}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function c(i,o){var s=n.create();function c(t){return s.findTransition((function(r){var n,i,a,o,s,l;return n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,(e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function u(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,c=a.start,u=a.end;r&&r.checkIntersection(i,a);var h=e.linesIntersect(o,s,c,u);if(!1===h){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var f=e.pointsSame(o,c),p=e.pointsSame(s,u);if(f&&p)return n;var d=!f&&e.pointBetween(o,c,u),m=!p&&e.pointBetween(s,c,u);if(f)return m?l(n,s):l(t,u),n;d&&(p||(m?l(n,s):l(t,u)),l(n,o))}else 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y,v,x=g();if(x)t?(v=null===f.seg.myFill.below||f.seg.myFill.above!==f.seg.myFill.below)&&(x.seg.myFill.above=!x.seg.myFill.above):x.seg.otherFill=f.seg.myFill,r&&r.segmentUpdate(x.seg),f.other.remove(),f.remove();if(a.getHead()!==f){r&&r.rewind(f.seg);continue}t?(v=null===f.seg.myFill.below||f.seg.myFill.above!==f.seg.myFill.below,f.seg.myFill.below=m?m.seg.myFill.above:i,f.seg.myFill.above=v?!f.seg.myFill.below:f.seg.myFill.below):null===f.seg.otherFill&&(y=m?f.primary===m.primary?m.seg.otherFill.above:m.seg.myFill.above:f.primary?o:i,f.seg.otherFill={above:y,below:y}),r&&r.status(f.seg,!!d&&d.seg,!!m&&m.seg),f.other.status=p.insert(n.node({ev:f}))}else{var _=f.status;if(null===_)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(_.prev)&&s.exists(_.next)&&u(_.prev.ev,_.next.ev),r&&r.statusRemove(_.ev.seg),_.remove(),!f.primary){var 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],c=o[0],u=o[1];e.pointsCollinear(l,s,c)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,c,u)&&(r&&r.chainRemoveHead(i,c),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},17527:function(t){function e(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r},3944:function(t,e,r){\"use 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this.big_endian?16777216*r[t]+65536*r[t+1]+256*r[t+2]+r[t+3]:r[t]+256*r[t+1]+65536*r[t+2]+16777216*r[t+3]},n.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},n.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},n.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return this.read_uint32(e);case 9:return 0|this.read_uint32(e);default:return null}},n.prototype.scan_ifd=function(t,n,i){var a=this.read_uint16(n);n+=2;for(var o=0;o<a;o++){var s=this.read_uint16(n),l=this.read_uint16(n+2),c=this.read_uint32(n+4),u=this.exif_format_length(l),h=c*u,f=h<=4?n+8:this.read_uint32(n+8),p=!1;if(f+h>this.input.length)throw 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t&&(t=x[t]),null!=t&&t&&t.count&&t.color&&t.opacity&&t.positions&&t.positions.length>1&&(t.scaleRatio=[t.scale[0]*t.viewport.width,t.scale[1]*t.viewport.height],r(t),t.after&&t.after(t))}function T(t){if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var e=0,r=0;if(_.groups=x=t.map((function(t,c){var u=x[c];return t?(\"function\"==typeof t?t={after:t}:\"number\"==typeof t[0]&&(t={positions:t}),t=o(t,{color:\"color colors fill\",capSize:\"capSize cap capsize cap-size\",lineWidth:\"lineWidth line-width width line thickness\",opacity:\"opacity alpha\",range:\"range dataBox\",viewport:\"viewport viewBox\",errors:\"errors error\",positions:\"positions position data points\"}),u||(x[c]=u={id:c,scale:null,translate:null,scaleFract:null,translateFract:null,draw:!0},t=s({},v,t)),a(u,t,[{lineWidth:function(t){return.5*+t},capSize:function(t){return.5*+t},opacity:parseFloat,errors:function(t){return t=l(t),r+=t.length,t},positions:function(t,r){return t=l(t,\"float64\"),r.count=Math.floor(t.length/2),r.bounds=n(t,2),r.offset=e,e+=r.count,t}},{color:function(t,e){var r=e.count;if(t||(t=\"transparent\"),!Array.isArray(t)||\"number\"==typeof t[0]){var n=t;t=Array(r);for(var a=0;a<r;a++)t[a]=n}if(t.length<r)throw Error(\"Not enough colors\");for(var o=new Uint8Array(4*r),s=0;s<r;s++){var l=i(t[s],\"uint8\");o.set(l,4*s)}return o},range:function(t,e,r){var n=e.bounds;return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=h(e.scale),e.translateFract=h(e.translate),t},viewport:function(t){var e;return Array.isArray(t)?e={x:t[0],y:t[1],width:t[2]-t[0],height:t[3]-t[1]}:t?(e={x:t.x||t.left||0,y:t.y||t.top||0},t.right?e.width=t.right-e.x:e.width=t.w||t.width||0,t.bottom?e.height=t.bottom-e.y:e.height=t.h||t.height||0):e={x:0,y:0,width:y.drawingBufferWidth,height:y.drawingBufferHeight},e}}]),u):u})),e||r){var f=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*f),b=new Uint8Array(4*f),w=new Float32Array(4*f);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(b.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=u(g);c(T);var k=h(g,T);p(k),d(b),m(w)}}}function k(){c.destroy(),p.destroy(),d.destroy(),m.destroy(),g.destroy()}};var f=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},49478:function(t,e,r){\"use strict\";var n=r(162),i=r(78112),a=r(27976),o=r(6807),s=r(83473),l=r(25782),c=r(90956),u=r(51498),h=u.float32,f=u.fract32,p=r(93103),d=r(5137),m=r(33055);function g(t,e){if(!(this instanceof g))return new g(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=g.shaders.has(t)?g.shaders.get(t):g.shaders.set(t,g.createShaders(t)).get(t),this.update(e)}t.exports=g,g.dashMult=2,g.maxPatternLength=256,g.precisionThreshold=3e6,g.maxPoints=1e4,g.maxLines=2048,g.shaders=new p,g.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:\"\\nprecision highp float;\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\",frag:\"\\nprecision highp float;\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:\"\\nprecision highp float;\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\",frag:\"\\nprecision highp float;\\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:\"\\nprecision highp float;\\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 main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\",frag:\"\\nprecision highp float;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = fragColor;\\n}\\n\",uniforms:{scale:t.prop(\"scale\"),color:t.prop(\"fill\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:i,miter:e}},g.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},g.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},g.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>g.precisionThreshold||e.scale[1]*e.viewport.height>g.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=g.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},g.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,u=this.gl;if(t.forEach((function(t,p){var y=e.passes[p];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=o(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin join type mode\",miterLimit:\"miterlimit miterLimit\",dashes:\"dash dashes dasharray dash-array dashArray\",color:\"color colour stroke colors colours stroke-color strokeColor\",fill:\"fill fill-color fillColor\",opacity:\"alpha opacity\",overlay:\"overlay crease overlap intersect\",close:\"closed close closed-path closePath\",range:\"range dataBox\",viewport:\"viewport viewBox\",hole:\"holes hole hollow\",splitNull:\"splitNull\"}),y||(e.passes[p]=y={id:p,scale:null,scaleFract:null,translate:null,translateFract:null,count:0,hole:[],depth:0,dashLength:1,dashTexture:r.texture({channels:1,data:new Uint8Array([255]),width:1,height:1,mag:\"linear\",min:\"linear\"}),colorBuffer:r.buffer({usage:\"dynamic\",type:\"uint8\",data:new Uint8Array}),positionBuffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),positionFractBuffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array})},t=a({},g.defaults,t)),null!=t.thickness&&(y.thickness=parseFloat(t.thickness)),null!=t.opacity&&(y.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(y.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(y.overlay=!!t.overlay,p<g.maxLines&&(y.depth=2*(g.maxLines-1-p%g.maxLines)/g.maxLines-1)),null!=t.join&&(y.join=t.join),null!=t.hole&&(y.hole=t.hole),null!=t.fill&&(y.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(y.viewport=d(t.viewport)),y.viewport||(y.viewport=d([u.drawingBufferWidth,u.drawingBufferHeight])),null!=t.close&&(y.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var v,x;if(t.positions.x&&t.positions.y){var _=t.positions.x,b=t.positions.y;x=y.count=Math.max(_.length,b.length),v=new Float64Array(2*x);for(var w=0;w<x;w++)v[2*w]=_[w],v[2*w+1]=b[w]}else v=s(t.positions,\"float64\"),x=y.count=Math.floor(v.length/2);var T=y.bounds=i(v,2);if(y.fill){for(var k=[],A={},M=0,S=0,E=0,C=y.count;S<C;S++){var L=v[2*S],I=v[2*S+1];isNaN(L)||isNaN(I)||null==L||null==I?(L=v[2*M],I=v[2*M+1],A[S]=M):M=S,k[E++]=L,k[E++]=I}if(t.splitNull){y.count-1 in A||(A[y.count]=y.count-1);var P=Object.keys(A).map(Number).sort((function(t,e){return t-e})),z=[],O=0,D=null!=y.hole?y.hole[0]:null;if(null!=D){var R=m(P,(function(t){return t>=D}));(P=P.slice(0,R)).push(D)}for(var F=function(t){var e=k.slice(2*O,2*P[t]).concat(D?k.slice(2*D):[]),r=(y.hole||[]).map((function(e){return e-D+(P[t]-O)})),n=l(e,r);n=n.map((function(e){return e+O+(e+O<P[t]?0:D-P[t])})),z.push.apply(z,n),O=P[t]+1},B=0;B<P.length;B++)F(B);for(var N=0,j=z.length;N<j;N++)null!=A[z[N]]&&(z[N]=A[z[N]]);y.triangles=z}else{for(var U=l(k,y.hole||[]),V=0,q=U.length;V<q;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);y.triangles=U}}var H=new Float64Array(v);c(H,2,T);var G=new Float64Array(2*x+6);y.close?v[0]===v[2*x-2]&&v[1]===v[2*x-1]?(G[0]=H[2*x-4],G[1]=H[2*x-3]):(G[0]=H[2*x-2],G[1]=H[2*x-1]):(G[0]=H[0],G[1]=H[1]),G.set(H,2),y.close?v[0]===v[2*x-2]&&v[1]===v[2*x-1]?(G[2*x+2]=H[2],G[2*x+3]=H[3],y.count-=1):(G[2*x+2]=H[0],G[2*x+3]=H[1],G[2*x+4]=H[2],G[2*x+5]=H[3]):(G[2*x+2]=H[2*x-2],G[2*x+3]=H[2*x-1],G[2*x+4]=H[2*x-2],G[2*x+5]=H[2*x-1]);var Z=h(G);y.positionBuffer(Z);var W=f(G,Z);y.positionFractBuffer(W)}if(t.range?y.range=t.range:y.range||(y.range=y.bounds),(t.range||t.positions)&&y.count){var Y=y.bounds,X=Y[2]-Y[0],$=Y[3]-Y[1],J=y.range[2]-y.range[0],K=y.range[3]-y.range[1];y.scale=[X/J,$/K],y.translate=[-y.range[0]/J+Y[0]/J||0,-y.range[1]/K+Y[1]/K||0],y.scaleFract=f(y.scale),y.translateFract=f(y.translate)}if(t.dashes){var Q,tt=0;if(!t.dashes||t.dashes.length<2)tt=1,Q=new Uint8Array([255,255,255,255,255,255,255,255]);else{tt=0;for(var et=0;et<t.dashes.length;++et)tt+=t.dashes[et];Q=new Uint8Array(tt*g.dashMult);for(var rt=0,nt=255,it=0;it<2;it++)for(var at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*g.dashMult*.5;ot<st;++ot)Q[rt++]=nt;nt^=255}}y.dashLength=tt,y.dashTexture({channels:1,data:Q,width:Q.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=y.count,ct=t.color;ct||(ct=\"transparent\");var ut=new Uint8Array(4*lt+4);if(Array.isArray(ct)&&\"number\"!=typeof ct[0]){for(var ht=0;ht<lt;ht++){var ft=n(ct[ht],\"uint8\");ut.set(ft,4*ht)}ut.set(n(ct[0],\"uint8\"),4*lt)}else for(var pt=n(ct,\"uint8\"),dt=0;dt<lt+1;dt++)ut.set(pt,4*dt);y.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ut})}}else e.passes[p]=null})),t.length<this.passes.length){for(var p=t.length;p<this.passes.length;p++){var y=this.passes[p];y&&(y.colorBuffer.destroy(),y.positionBuffer.destroy(),y.dashTexture.destroy())}this.passes.length=t.length}for(var v=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&v.push(this.passes[x]);return this.passes=v,this}},g.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},62172:function(t,e,r){\"use strict\";function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){var r=null==t?null:\"undefined\"!=typeof Symbol&&t[Symbol.iterator]||t[\"@@iterator\"];if(null!=r){var n,i,a,o,s=[],l=!0,c=!1;try{if(a=(r=r.call(t)).next,0===e){if(Object(r)!==r)return;l=!1}else for(;!(l=(n=a.call(r)).done)&&(s.push(n.value),s.length!==e);l=!0);}catch(t){c=!0,i=t}finally{try{if(!l&&null!=r.return&&(o=r.return(),Object(o)!==o))return}finally{if(c)throw i}}return s}}(t,e)||i(t,e)||function(){throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function i(t,e){if(t){if(\"string\"==typeof t)return a(t,e);var r=Object.prototype.toString.call(t).slice(8,-1);return\"Object\"===r&&t.constructor&&(r=t.constructor.name),\"Map\"===r||\"Set\"===r?Array.from(t):\"Arguments\"===r||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r)?a(t,e):void 0}}function a(t,e){(null==e||e>t.length)&&(e=t.length);for(var r=0,n=new Array(e);r<e;r++)n[r]=t[r];return n}var o=r(162),s=r(78112),l=r(46762),c=r(27549),u=r(27976),h=r(76765),f=r(6807),p=r(79788),d=r(83473),m=r(39488),g=r(51498),y=r(5137),v=x;function x(t,e){var r=this;if(!(this instanceof x))return new x(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,i=(t=e.regl)._gl,a=[];this.tooManyColors=m,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),u(this,{regl:t,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:i.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return e.borderSize.length?{buffer:e.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*e.borderSize/r.maxSize)]}},colorId:function(t,e){return e.color.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?a.slice(4*e.color,4*e.color+4):[e.color]}},borderColorId:function(t,e){return e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\"),stencil:{enable:!1},depth:{enable:!1},elements:t.prop(\"elements\"),count:t.prop(\"count\"),offset:t.prop(\"offset\"),primitive:\"points\"},s=u({},o);s.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float opacity;\\nuniform sampler2D markerTexture;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float dist = texture2D(markerTexture, gl_PointCoord).r, delta = fragWidth;\\n\\n  // max-distance alpha\\n  if (dist < 0.003) discard;\\n\\n  // null-border case\\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\\n  }\\n  else {\\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\\n\\n    vec4 color = fragBorderColor;\\n    color.a *= borderColorAmt;\\n    color = mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\n// `invariant` effectively turns off optimizations for the position.\\n// We need this because -fast-math on M1 Macs is re-ordering\\n// floating point operations in a way that causes floating point\\n// precision limits to put points in the wrong locations.\\ninvariant gl_Position;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\\n\"]),this.drawMarker=t(s);var l=u({},o);l.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\n// `invariant` effectively turns off optimizations for the position.\\n// We need this because -fast-math on M1 Macs is re-ordering\\n// floating point operations in a way that causes floating point\\n// precision limits to put points in the wrong locations.\\ninvariant gl_Position;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),m&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}x.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},x.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},x.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},x.prototype.drawItem=function(t,e){var r,n=this.groups,o=n[t];if(\"number\"==typeof e&&(t=e,o=n[e],e=null),o&&o.count&&o.opacity){o.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,o,e));for(var s=[],l=1;l<o.activation.length;l++)o.activation[l]&&(!0===o.activation[l]||o.activation[l].data.length)&&s.push.apply(s,function(t){if(Array.isArray(t))return a(t)}(r=this.getMarkerDrawOptions(l,o,e))||function(t){if(\"undefined\"!=typeof Symbol&&null!=t[Symbol.iterator]||null!=t[\"@@iterator\"])return Array.from(t)}(r)||i(r)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}());s.length&&this.drawMarker(s)}},x.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;if(this.regl,!a)return r?[u({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[u({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var h=[],f=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),m=0;m<r.length;m++){var g=r[m];d[g]=p?p[g]:1}l.subdata(d)}for(var y=f.length;y--;){var v=n(f[y],2),x=v[0],_=v[1];h.push(u({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:_-x}))}return h},x.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,l=this.maxSize,h=this.maxColors,m=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=f(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=u({},x.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var v=0,_=0;if(p(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=x.defaults.size),v+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=x.defaults.borderSize),v+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=x.defaults.color),e=t.updateColor(e),_++,e},borderColor:function(e,r){return null==e&&(e=x.defaults.borderColor),e=t.updateColor(e),_++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,l=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=d(t,\"float64\");var u=e.count=Math.floor(t.length/2),h=e.bounds=u?s(t,2):null;if(r.range||e.range||(delete e.range,r.range=h),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||u>n)?e.tree=c(t,{bounds:h}):n&&n.length&&(e.tree=n),e.tree){var f={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(f):e.elements=o.elements(f)}var p=g.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:g.fract32(t,p),usage:\"dynamic\"}),l({data:new Uint8Array(u),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var h={data:a[u],type:\"uint8\",usage:\"static\"};i[u]?i[u](h):i[u]=o.buffer(h),i[u].data=a[u]}}else i[t.addMarker(e)]=!0;return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=g.fract(e.scale),e.translateFract=g.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),v){var b=n,w=b.count,T=b.size,k=b.borderSize,A=b.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/l),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/l);A({data:M,usage:\"dynamic\"})}if(_){var E,C=n,L=C.count,I=C.color,P=C.borderColor,z=C.colorBuffer;if(t.tooManyColors){if(I.length||P.length){E=new Uint8Array(8*L);for(var O=0;O<L;O++){var D=I[O];E[8*O]=m[4*D],E[8*O+1]=m[4*D+1],E[8*O+2]=m[4*D+2],E[8*O+3]=m[4*D+3];var R=P[O];E[8*O+4]=m[4*R],E[8*O+5]=m[4*R+1],E[8*O+6]=m[4*R+2],E[8*O+7]=m[4*R+3]}}}else if(I.length||P.length){E=new Uint8Array(4*L+2);for(var F=0;F<L;F++)null!=I[F]&&(E[4*F]=I[F]%h,E[4*F+1]=Math.floor(I[F]/h)),null!=P[F]&&(E[4*F+2]=P[F]%h,E[4*F+3]=Math.floor(P[F]/h))}z({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},x.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},x.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var s=0;s<t.length;s+=4)a.push(t.slice(s,s+4));else for(var c=0;c<t.length;c+=4)a.push(t.subarray(c,c+4));t=a}for(var u=0;u<t.length;u++){var h=t[u];h=o(h,\"uint8\");var f=l(h,!1);if(null==e[f]){var p=r.length;e[f]=Math.floor(p/4),r[p]=h[0],r[p+1]=h[1],r[p+2]=h[2],r[p+3]=h[3]}i[u]=e[f]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},x.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},x.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var _=r(27976);t.exports=function(t,e){var r=new v(t,e),n=r.render.bind(r);return _(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},31239:function(t,e,r){\"use strict\";var n=r(62172),i=r(6807),a=r(78112),o=r(16494),s=r(27902),l=r(5137),c=r(83473);function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function h(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function f(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x,s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y,l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}t.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},u.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,c=0;c<l.length;c++)i.push(this.passes[l[c]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},u.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency opaque\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",borderColor:\"borderColors borderColor bordercolor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range ranges databox dataBox\",viewport:\"viewport viewBox viewbox\",domain:\"domain domains area areas\",padding:\"pad padding paddings pads margin margins\",transpose:\"transpose transposed\",diagonal:\"diagonal diag showDiagonal\",upper:\"upper up top upperhalf upperHalf showupperhalf showUpper showUpperHalf\",lower:\"lower low bottom lowerhalf lowerHalf showlowerhalf showLowerHalf showLower\"}),s=this.traces[t]||(this.traces[t]={id:t,buffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(c(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var u=0;u<s.columns;u++)s.bounds[u]=a(o.data[u],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var m=s.columns,g=s.count,y=s.viewport.width,v=s.viewport.height,x=s.viewport.x,_=s.viewport.y,b=y/m,w=v/m;s.passes=[];for(var T=0;T<m;T++)for(var k=0;k<m;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=h(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:g,stride:m},y:{buffer:s.buffer,offset:T,count:g,stride:m}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=f(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?f(s.padding,T,k):s.padding;if(s.domain){var E=f(s.domain,T,k),C=E[0],L=E[1],I=E[2],P=E[3];M.viewport=[x+C*y+S[0],_+L*v+S[1],x+I*y-S[2],_+P*v-S[3]]}else M.viewport=[x+k*b+b*S[0],_+T*w+w*S[1],x+(k+1)*b-b*S[2],_+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?f(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},u.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var c=e[i],u=this.traces[i],h=u.passes,f=u.passOffset;h=h.map((function(t,e){n[f+e]=c}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},u.prototype.destroy=function(){return 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t},toMonthIndex:function(t,e,r){var i=this.intercalaryMonth(t);if(r&&e!==i||e<1||e>12)throw n.local.invalidMonth.replace(/\\{0\\}/,this.local.name);return i?!r&&e<=i?e-1:e:e-1},toChineseMonth:function(t,e){t.year&&(e=(t=t.year()).month());var r=this.intercalaryMonth(t);if(e<0||e>(r?12:11))throw n.local.invalidMonth.replace(/\\{0\\}/,this.local.name);return r?e<r?e+1:e:e+1},intercalaryMonth:function(t){return t=this._validateYear(t),h[t-h[0]]>>13},isIntercalaryMonth:function(t,e){t.year&&(e=(t=t.year()).month());var r=this.intercalaryMonth(t);return!!r&&r===e},leapYear:function(t){return 0!==this.intercalaryMonth(t)},weekOfYear:function(t,e,r){var i,o=this._validateYear(t,n.local.invalidyear),s=f[o-f[0]],l=s>>9&4095,c=s>>5&15,u=31&s;(i=a.newDate(l,c,u)).add(4-(i.dayOfWeek()||7),\"d\");var h=this.toJD(t,e,r)-i.toJD();return 1+Math.floor(h/7)},monthsInYear:function(t){return this.leapYear(t)?13:12},daysInMonth:function(t,e){t.year&&(e=t.month(),t=t.year()),t=this._validateYear(t);var r=h[t-h[0]];if(e>(r>>13?12:11))throw n.local.invalidMonth.replace(/\\{0\\}/,this.local.name);return r&1<<12-e?30:29},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,s,r,n.local.invalidDate);t=this._validateYear(i.year()),e=i.month(),r=i.day();var o=this.isIntercalaryMonth(t,e),s=this.toChineseMonth(t,e),l=function(t,e,r,n,i){var a,o,s;if(\"object\"==typeof t)o=t,a=e||{};else{var l;if(!(\"number\"==typeof t&&t>=1888&&t<=2111))throw new Error(\"Lunar year outside range 1888-2111\");if(!(\"number\"==typeof e&&e>=1&&e<=12))throw new Error(\"Lunar month outside range 1 - 12\");if(!(\"number\"==typeof r&&r>=1&&r<=30))throw new Error(\"Lunar day outside range 1 - 30\");\"object\"==typeof n?(l=!1,a=n):(l=!!n,a={}),o={year:t,month:e,day:r,isIntercalary:l}}s=o.day-1;var c,u=h[o.year-h[0]],p=u>>13;c=p&&(o.month>p||o.isIntercalary)?o.month:o.month-1;for(var d=0;d<c;d++)s+=u&1<<12-d?30:29;var m=f[o.year-f[0]],g=new Date(m>>9&4095,(m>>5&15)-1,(31&m)+s);return a.year=g.getFullYear(),a.month=1+g.getMonth(),a.day=g.getDate(),a}(t,s,r,o);return a.toJD(l.year,l.month,l.day)},fromJD:function(t){var e=a.fromJD(t),r=function(t,e,r,n){var i,a;if(\"object\"==typeof t)i=t,a=e||{};else{if(!(\"number\"==typeof t&&t>=1888&&t<=2111))throw new Error(\"Solar year outside range 1888-2111\");if(!(\"number\"==typeof e&&e>=1&&e<=12))throw new Error(\"Solar month outside range 1 - 12\");if(!(\"number\"==typeof r&&r>=1&&r<=31))throw new Error(\"Solar day outside range 1 - 31\");i={year:t,month:e,day:r},a={}}var o=f[i.year-f[0]],s=i.year<<9|i.month<<5|i.day;a.year=s>=o?i.year:i.year-1,o=f[a.year-f[0]];var l,c=new Date(o>>9&4095,(o>>5&15)-1,31&o),u=new Date(i.year,i.month-1,i.day);l=Math.round((u-c)/864e5);var p,d=h[a.year-h[0]];for(p=0;p<13;p++){var m=d&1<<12-p?30:29;if(l<m)break;l-=m}var g=d>>13;return!g||p<g?(a.isIntercalary=!1,a.month=1+p):p===g?(a.isIntercalary=!0,a.month=p):(a.isIntercalary=!1,a.month=p),a.day=1+l,a}(e.year(),e.month(),e.day()),n=this.toMonthIndex(r.year,r.month,r.isIntercalary);return this.newDate(r.year,n,r.day)},fromString:function(t){var e=t.match(s),r=this._validateYear(+e[1]),n=+e[2],i=!!e[3],a=this.toMonthIndex(r,n,i),o=+e[4];return this.newDate(r,a,o)},add:function(t,e,r){var n=t.year(),i=t.month(),a=this.isIntercalaryMonth(n,i),s=this.toChineseMonth(n,i),l=Object.getPrototypeOf(o.prototype).add.call(this,t,e,r);if(\"y\"===r){var c=l.year(),u=l.month(),h=this.isIntercalaryMonth(c,s),f=a&&h?this.toMonthIndex(c,s,!0):this.toMonthIndex(c,s,!1);f!==u&&l.month(f)}return l}});var s=/^\\s*(-?\\d\\d\\d\\d|\\d\\d)[-/](\\d?\\d)([iI]?)[-/](\\d?\\d)/m,l=/^\\d?\\d[iI]?/m,c=/^闰?十?[一二三四五六七八九]?月/m,u=/^闰?十?[一二三四五六七八九]?/m;n.calendars.chinese=o;var 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n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Coptic\",jdEpoch:1825029.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Coptic\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Thout\",\"Paopi\",\"Hathor\",\"Koiak\",\"Tobi\",\"Meshir\",\"Paremhat\",\"Paremoude\",\"Pashons\",\"Paoni\",\"Epip\",\"Mesori\",\"Pi Kogi Enavot\"],monthNamesShort:[\"Tho\",\"Pao\",\"Hath\",\"Koi\",\"Tob\",\"Mesh\",\"Pat\",\"Pad\",\"Pash\",\"Pao\",\"Epi\",\"Meso\",\"PiK\"],dayNames:[\"Tkyriaka\",\"Pesnau\",\"Pshoment\",\"Peftoou\",\"Ptiou\",\"Psoou\",\"Psabbaton\"],dayNamesShort:[\"Tky\",\"Pes\",\"Psh\",\"Pef\",\"Pti\",\"Pso\",\"Psa\"],dayNamesMin:[\"Tk\",\"Pes\",\"Psh\",\"Pef\",\"Pt\",\"Pso\",\"Psa\"],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=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.coptic=a},28569:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Discworld\",jdEpoch:1721425.5,daysPerMonth:[16,32,32,32,32,32,32,32,32,32,32,32,32],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Discworld\",epochs:[\"BUC\",\"UC\"],monthNames:[\"Ick\",\"Offle\",\"February\",\"March\",\"April\",\"May\",\"June\",\"Grune\",\"August\",\"Spune\",\"Sektober\",\"Ember\",\"December\"],monthNamesShort:[\"Ick\",\"Off\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Gru\",\"Aug\",\"Spu\",\"Sek\",\"Emb\",\"Dec\"],dayNames:[\"Sunday\",\"Octeday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Oct\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Oc\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:2,isRTL:!1}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((i.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year()+(i.year()<0?1:0),e=i.month(),(r=i.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},81133:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Ethiopian\",jdEpoch:1724220.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Ethiopian\",epochs:[\"BEE\",\"EE\"],monthNames:[\"Meskerem\",\"Tikemet\",\"Hidar\",\"Tahesas\",\"Tir\",\"Yekatit\",\"Megabit\",\"Miazia\",\"Genbot\",\"Sene\",\"Hamle\",\"Nehase\",\"Pagume\"],monthNamesShort:[\"Mes\",\"Tik\",\"Hid\",\"Tah\",\"Tir\",\"Yek\",\"Meg\",\"Mia\",\"Gen\",\"Sen\",\"Ham\",\"Neh\",\"Pag\"],dayNames:[\"Ehud\",\"Segno\",\"Maksegno\",\"Irob\",\"Hamus\",\"Arb\",\"Kidame\"],dayNamesShort:[\"Ehu\",\"Seg\",\"Mak\",\"Iro\",\"Ham\",\"Arb\",\"Kid\"],dayNamesMin:[\"Eh\",\"Se\",\"Ma\",\"Ir\",\"Ha\",\"Ar\",\"Ki\"],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=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.ethiopian=a},78295:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],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 this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=a},25512:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Islamic\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"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-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-khamīs\",\"Yawm al-jum'a\",\"Yawm as-sabt\"],dayNamesShort:[\"Aha\",\"Ith\",\"Thu\",\"Arb\",\"Kha\",\"Jum\",\"Sab\"],dayNamesMin:[\"Ah\",\"It\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},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);return t=i.year(),e=i.month(),t=t<=0?t+1:t,(r=i.day())+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},42645:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Julian\",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],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:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return 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},62324:function(t,e,r){var n=r(24453),i=r(27976);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;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return 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},91662:function(t,e,r){var n=r(24453),i=r(27976);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<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},66445:function(t,e,r){var n=r(24453),i=r(27976);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 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9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,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 c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 0===this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},41858:function(t,e,r){var n=r(24453),i=r(27976),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},57985:function(t,e,r){var n=r(24453),i=r(27976);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;a<o.length;a++){if(o[a]>r)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;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},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(27976);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(c.local.invalidDate||c.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(c.local.invalidDate||c.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(c.local.differentCalendars||c.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,c.local.invalidDate||c.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,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day(),\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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t=ae(e);if(r){if(r===t)continue;r=dt;break}r=t}return _t(r||dt,e)}return pt}function oe(t){const e=typeof t;return null===t?\"\":\"string\"===e||\"number\"===e||\"boolean\"===e?String(t):t instanceof Xt||t instanceof Kt||t instanceof Qt||t instanceof ee||t instanceof re?t.toString():JSON.stringify(t)}class se{constructor(t,e){this.type=t,this.value=e}static parse(t,e){if(2!==t.length)return e.error(`'literal' expression requires exactly one argument, but found ${t.length-1} instead.`);if(!ie(t[1]))return e.error(\"invalid value\");const r=t[1];let n=ae(r);const i=e.expectedType;return\"array\"!==n.kind||0!==n.N||!i||\"array\"!==i.kind||\"number\"==typeof i.N&&0!==i.N||(n=i),new se(n,r)}evaluate(){return this.value}eachChild(){}outputDefined(){return!0}}class le{constructor(t){this.name=\"ExpressionEvaluationError\",this.message=t}toJSON(){return this.message}}const ce={string:ut,number:ct,boolean:ht,object:pt};class ue{constructor(t,e){this.type=t,this.args=e}static 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st,a=[]){this.registry=t,this.path=r,this.key=r.map((t=>`[${t}]`)).join(\"\"),this.scope=i,this.errors=a,this.expectedType=n,this._isConstant=e}parse(t,e,r,n,i={}){return e?this.concat(e,r,n)._parse(t,i):this._parse(t,i)}_parse(t,e){function r(t,e,r){return\"assert\"===r?new ue(e,[t]):\"coerce\"===r?new fe(e,[t]):t}if(null!==t&&\"string\"!=typeof t&&\"boolean\"!=typeof t&&\"number\"!=typeof t||(t=[\"literal\",t]),Array.isArray(t)){if(0===t.length)return this.error('Expected an array with at least one element. 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be{constructor(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a}static parse(t,e){if(t.length<5)return e.error(`Expected at least 4 arguments, but found only ${t.length-1}.`);if(t.length%2!=1)return e.error(\"Expected an even number of arguments.\");let r,n;e.expectedType&&\"value\"!==e.expectedType.kind&&(n=e.expectedType);const i={},a=[];for(let o=2;o<t.length-1;o+=2){let s=t[o];const l=t[o+1];Array.isArray(s)||(s=[s]);const c=e.concat(o);if(0===s.length)return c.error(\"Expected at least one branch label.\");for(const t of s){if(\"number\"!=typeof t&&\"string\"!=typeof t)return c.error(\"Branch labels must be numbers or strings.\");if(\"number\"==typeof t&&Math.abs(t)>Number.MAX_SAFE_INTEGER)return c.error(`Branch labels must be integers no larger than ${Number.MAX_SAFE_INTEGER}.`);if(\"number\"==typeof t&&Math.floor(t)!==t)return c.error(\"Numeric branch labels must be integer values.\");if(r){if(c.checkSubtype(r,ae(t)))return null}else r=ae(t);if(void 0!==i[String(t)])return c.error(\"Branch labels must be unique.\");i[String(t)]=a.length}const u=e.parse(l,o,n);if(!u)return null;n=n||u.type,a.push(u)}const o=e.parse(t[1],1,dt);if(!o)return null;const s=e.parse(t[t.length-1],t.length-1,n);return s?\"value\"!==o.type.kind&&e.concat(1).checkSubtype(r,o.type)?null:new be(r,n,o,i,a,s):null}evaluate(t){const e=this.input.evaluate(t);return(ae(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)}eachChild(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)}outputDefined(){return this.outputs.every((t=>t.outputDefined()))&&this.otherwise.outputDefined()}}class we{constructor(t,e,r){this.type=t,this.branches=e,this.otherwise=r}static parse(t,e){if(t.length<4)return e.error(`Expected at least 3 arguments, but found only ${t.length-1}.`);if(t.length%2!=0)return e.error(\"Expected an odd number of arguments.\");let 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Qt(Ie(t.values,e.values,r))},variableAnchorOffsetCollection:function(t,e,r){const n=t.values,i=e.values;if(n.length!==i.length)throw new le(`Cannot interpolate values of different length. from: ${t.toString()}, to: ${e.toString()}`);const a=[];for(let t=0;t<n.length;t+=2){if(n[t]!==i[t])throw new le(`Cannot interpolate values containing mismatched anchors. from[${t}]: ${n[t]}, to[${t}]: ${i[t]}`);a.push(n[t]);const[e,o]=n[t+1],[s,l]=i[t+1];a.push([Le(e,s,r),Le(o,l,r)])}return new ee(a)}};class ze{constructor(t,e,r,n,i){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(const[t,e]of i)this.labels.push(t),this.outputs.push(e)}static interpolationFactor(t,e,r,n){let i=0;if(\"exponential\"===t.name)i=Oe(e,t.base,r,n);else if(\"linear\"===t.name)i=Oe(e,1,r,n);else if(\"cubic-bezier\"===t.name){const a=t.controlPoints;i=new Ce(a[0],a[1],a[2],a[3]).solve(Oe(e,1,r,n))}return i}static 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e.error(\"Expected one argument.\");const r=t[1];if(\"object\"!=typeof r||Array.isArray(r))return e.error(\"Collator options argument must be an object.\");const n=e.parse(void 0!==r[\"case-sensitive\"]&&r[\"case-sensitive\"],1,ht);if(!n)return null;const i=e.parse(void 0!==r[\"diacritic-sensitive\"]&&r[\"diacritic-sensitive\"],1,ht);if(!i)return null;let a=null;return r.locale&&(a=e.parse(r.locale,1,ut),!a)?null:new Ge(n,i,a)}evaluate(t){return new $t(this.caseSensitive.evaluate(t),this.diacriticSensitive.evaluate(t),this.locale?this.locale.evaluate(t):null)}eachChild(t){t(this.caseSensitive),t(this.diacriticSensitive),this.locale&&t(this.locale)}outputDefined(){return!1}}class Ze{constructor(t,e,r,n,i){this.type=ut,this.number=t,this.locale=e,this.currency=r,this.minFractionDigits=n,this.maxFractionDigits=i}static parse(t,e){if(3!==t.length)return e.error(\"Expected two arguments.\");const r=e.parse(t[1],1,ct);if(!r)return null;const n=t[2];if(\"object\"!=typeof n||Array.isArray(n))return e.error(\"NumberFormat options argument must be an object.\");let i=null;if(n.locale&&(i=e.parse(n.locale,1,ut),!i))return null;let a=null;if(n.currency&&(a=e.parse(n.currency,1,ut),!a))return null;let o=null;if(n[\"min-fraction-digits\"]&&(o=e.parse(n[\"min-fraction-digits\"],1,ct),!o))return null;let s=null;return n[\"max-fraction-digits\"]&&(s=e.parse(n[\"max-fraction-digits\"],1,ct),!s)?null:new Ze(r,i,a,o,s)}evaluate(t){return new Intl.NumberFormat(this.locale?this.locale.evaluate(t):[],{style:this.currency?\"currency\":\"decimal\",currency:this.currency?this.currency.evaluate(t):void 0,minimumFractionDigits:this.minFractionDigits?this.minFractionDigits.evaluate(t):void 0,maximumFractionDigits:this.maxFractionDigits?this.maxFractionDigits.evaluate(t):void 0}).format(this.number.evaluate(t))}eachChild(t){t(this.number),this.locale&&t(this.locale),this.currency&&t(this.currency),this.minFractionDigits&&t(this.minFractionDigits),this.maxFractionDigits&&t(this.maxFractionDigits)}outputDefined(){return!1}}class We{constructor(t){this.type=gt,this.sections=t}static parse(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");const r=t[1];if(!Array.isArray(r)&&\"object\"==typeof r)return e.error(\"First argument must be an image or text section.\");const n=[];let i=!1;for(let r=1;r<=t.length-1;++r){const a=t[r];if(i&&\"object\"==typeof a&&!Array.isArray(a)){i=!1;let t=null;if(a[\"font-scale\"]&&(t=e.parse(a[\"font-scale\"],1,ct),!t))return null;let r=null;if(a[\"text-font\"]&&(r=e.parse(a[\"text-font\"],1,_t(ut)),!r))return null;let o=null;if(a[\"text-color\"]&&(o=e.parse(a[\"text-color\"],1,ft),!o))return null;const s=n[n.length-1];s.scale=t,s.font=r,s.textColor=o}else{const a=e.parse(t[r],1,dt);if(!a)return null;const 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r=Math.pow(2,e.z),n=(t[0]/$e+e.x)/r,i=(t[1]/$e+e.y)/r;return[(o=n,360*o-180),(a=i,360/Math.PI*Math.atan(Math.exp((180-360*a)*Math.PI/180))-90)];var a,o}function Qe(t,e){t[0]=Math.min(t[0],e[0]),t[1]=Math.min(t[1],e[1]),t[2]=Math.max(t[2],e[0]),t[3]=Math.max(t[3],e[1])}function tr(t,e){return!(t[0]<=e[0]||t[2]>=e[2]||t[1]<=e[1]||t[3]>=e[3])}function er(t,e,r){const n=t[0]-e[0],i=t[1]-e[1],a=t[0]-r[0],o=t[1]-r[1];return n*o-a*i==0&&n*a<=0&&i*o<=0}function rr(t,e,r,n){const i=[e[0]-t[0],e[1]-t[1]];return 0!=(a=[n[0]-r[0],n[1]-r[1]],o=i,a[0]*o[1]-a[1]*o[0])&&!(!lr(t,e,r,n)||!lr(r,n,t,e));var a,o}function nr(t,e,r){for(const n of r)for(let r=0;r<n.length-1;++r)if(rr(t,e,n[r],n[r+1]))return!0;return!1}function ir(t,e,r=!1){let n=!1;for(const s of e)for(let e=0;e<s.length-1;e++){if(er(t,s[e],s[e+1]))return r;i=t,a=s[e],o=s[e+1],a[1]>i[1]!=o[1]>i[1]&&i[0]<(o[0]-a[0])*(i[1]-a[1])/(o[1]-a[1])+a[0]&&(n=!n)}var i,a,o;return n}function ar(t,e){for(const r of e)if(ir(t,r))return!0;return!1}function 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Object.keys(this._values))if(this._values[t].prior)return!0;return!1}}class $i{constructor(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)}hasValue(t){return void 0!==this._values[t].value}getValue(t){return b(this._values[t].value)}setValue(t,e){this._values[t]=new Gi(this._values[t].property,null===e?void 0:b(e))}serialize(){const t={};for(const e of Object.keys(this._values)){const r=this.getValue(e);void 0!==r&&(t[e]=r)}return t}possiblyEvaluate(t,e,r){const n=new Ki(this._properties);for(const i of Object.keys(this._values))n._values[i]=this._values[i].possiblyEvaluate(t,e,r);return n}}class Ji{constructor(t,e,r){this.property=t,this.value=e,this.parameters=r}isConstant(){return\"constant\"===this.value.kind}constantOr(t){return\"constant\"===this.value.kind?this.value.value:t}evaluate(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)}}class Ki{constructor(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)}get(t){return this._values[t]}}class Qi{constructor(t){this.specification=t}possiblyEvaluate(t,e){if(t.isDataDriven())throw new Error(\"Value should not be data driven\");return t.expression.evaluate(e)}interpolate(t,e,r){const n=this.specification.type,i=Pe[n];return i?i(t,e,r):t}}class ta{constructor(t,e){this.specification=t,this.overrides=e}possiblyEvaluate(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Ji(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Ji(this,t.expression,e)}interpolate(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Ji(this,{kind:\"constant\",value:void 0},t.parameters);const n=this.specification.type,i=Pe[n];if(i){const n=i(t.value.value,e.value.value,r);return new Ji(this,{kind:\"constant\",value:n},t.parameters)}return t}evaluate(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)}}class ea extends ta{possiblyEvaluate(t,e,r,n){if(void 0===t.value)return new Ji(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){const i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new Ji(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){const r=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new Ji(this,{kind:\"constant\",value:r},e)}return new Ji(this,t.expression,e)}evaluate(t,e,r,n,i,a){if(\"source\"===t.kind){const o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value}_calculate(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}}interpolate(t){return t}}class ra{constructor(t){this.specification=t}possiblyEvaluate(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){const i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new Hi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new Hi(Math.floor(e.zoom),e)),t.expression.evaluate(new Hi(Math.floor(e.zoom+1),e)),e)}}_calculate(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}}interpolate(t){return t}}class na{constructor(t){this.specification=t}possiblyEvaluate(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)}interpolate(){return!1}}class ia{constructor(t){this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[];for(const e in t){const r=t[e];r.specification.overridable&&this.overridableProperties.push(e);const n=this.defaultPropertyValues[e]=new Gi(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new Zi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}}}Mi(\"DataDrivenProperty\",ta),Mi(\"DataConstantProperty\",Qi),Mi(\"CrossFadedDataDrivenProperty\",ea),Mi(\"CrossFadedProperty\",ra),Mi(\"ColorRampProperty\",na);const aa=\"-transition\";class oa extends G{constructor(t,e){if(super(),this.id=t.id,this.type=t.type,this._featureFilter={filter:()=>!0,needGeometry:!1},\"custom\"!==t.type&&(this.metadata=t.metadata,this.minzoom=t.minzoom,this.maxzoom=t.maxzoom,\"background\"!==t.type&&(this.source=t.source,this.sourceLayer=t[\"source-layer\"],this.filter=t.filter),e.layout&&(this._unevaluatedLayout=new $i(e.layout)),e.paint)){this._transitionablePaint=new Wi(e.paint);for(const e in t.paint)this.setPaintProperty(e,t.paint[e],{validate:!1});for(const e in t.layout)this.setLayoutProperty(e,t.layout[e],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new Ki(e.paint)}}getCrossfadeParameters(){return this._crossfadeParameters}getLayoutProperty(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)}setLayoutProperty(t,e,r={}){if(null!=e){const n=`layers.${this.id}.layout.${t}`;if(this._validate(wi,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e}getPaintProperty(t){return t.endsWith(aa)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)}setPaintProperty(t,e,r={}){if(null!=e){const n=`layers.${this.id}.paint.${t}`;if(this._validate(bi,n,t,e,r))return!1}if(t.endsWith(aa))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;{const r=this._transitionablePaint._values[t],n=\"cross-faded-data-driven\"===r.property.specification[\"property-type\"],i=r.value.isDataDriven(),a=r.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);const o=this._transitionablePaint._values[t].value;return o.isDataDriven()||i||n||this._handleOverridablePaintPropertyUpdate(t,a,o)}}_handleSpecialPaintPropertyUpdate(t){}_handleOverridablePaintPropertyUpdate(t,e,r){return!1}isHidden(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility}updateTransitions(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)}hasTransition(){return this._transitioningPaint.hasTransition()}recalculate(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)}serialize(){const t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),_(t,((t,e)=>!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)))}_validate(t,e,r,n,i={}){return(!i||!1!==i.validate)&&Ti(this,t.call(vi,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Z,style:{glyphs:!0,sprite:!0}}))}is3D(){return!1}isTileClipped(){return!1}hasOffscreenPass(){return!1}resize(){}isStateDependent(){for(const t in this.paint._values){const e=this.paint.get(t);if(e instanceof Ji&&hn(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1}}const sa={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array};class la{constructor(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8}}class ca{constructor(){this.isTransferred=!1,this.capacity=-1,this.resize(0)}static serialize(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}}static deserialize(t){const e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e}_trim(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())}clear(){this.length=0}resize(t){this.reserve(t),this.length=t}reserve(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);const e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}}_refreshViews(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")}}function ua(t,e=1){let r=0,n=0;return{members:t.map((t=>{const i=(s=t.type,sa[s].BYTES_PER_ELEMENT),a=r=ha(r,Math.max(e,i)),o=t.components||1;var s;return n=Math.max(n,i),r+=i*o,{name:t.name,type:t.type,components:o,offset:a}})),size:ha(r,Math.max(n,e)),alignment:e}}function ha(t,e){return Math.ceil(t/e)*e}class fa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e){const r=this.length;return this.resize(r+1),this.emplace(r,t,e)}emplace(t,e,r){const n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t}}fa.prototype.bytesPerElement=4,Mi(\"StructArrayLayout2i4\",fa);class pa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t}}pa.prototype.bytesPerElement=6,Mi(\"StructArrayLayout3i6\",pa);class da extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n){const i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)}emplace(t,e,r,n,i){const a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t}}da.prototype.bytesPerElement=8,Mi(\"StructArrayLayout4i8\",da);class ma extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a){const o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)}emplace(t,e,r,n,i,a,o){const s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t}}ma.prototype.bytesPerElement=12,Mi(\"StructArrayLayout2i4i12\",ma);class ga extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a){const o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)}emplace(t,e,r,n,i,a,o){const s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t}}ga.prototype.bytesPerElement=8,Mi(\"StructArrayLayout2i4ub8\",ga);class ya extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e){const r=this.length;return this.resize(r+1),this.emplace(r,t,e)}emplace(t,e,r){const n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t}}ya.prototype.bytesPerElement=8,Mi(\"StructArrayLayout2f8\",ya);class va extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a,o,s,l,c){const u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)}emplace(t,e,r,n,i,a,o,s,l,c,u){const h=10*t;return this.uint16[h+0]=e,this.uint16[h+1]=r,this.uint16[h+2]=n,this.uint16[h+3]=i,this.uint16[h+4]=a,this.uint16[h+5]=o,this.uint16[h+6]=s,this.uint16[h+7]=l,this.uint16[h+8]=c,this.uint16[h+9]=u,t}}va.prototype.bytesPerElement=20,Mi(\"StructArrayLayout10ui20\",va);class xa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a,o,s,l,c,u,h){const f=this.length;return this.resize(f+1),this.emplace(f,t,e,r,n,i,a,o,s,l,c,u,h)}emplace(t,e,r,n,i,a,o,s,l,c,u,h,f){const p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=h,this.int16[p+11]=f,t}}xa.prototype.bytesPerElement=24,Mi(\"StructArrayLayout4i4ui4i24\",xa);class _a extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t}}_a.prototype.bytesPerElement=12,Mi(\"StructArrayLayout3f12\",_a);class ba extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)}emplaceBack(t){const e=this.length;return this.resize(e+1),this.emplace(e,t)}emplace(t,e){const r=1*t;return this.uint32[r+0]=e,t}}ba.prototype.bytesPerElement=4,Mi(\"StructArrayLayout1ul4\",ba);class wa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a,o,s,l){const c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)}emplace(t,e,r,n,i,a,o,s,l,c){const u=10*t,h=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[h+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t}}wa.prototype.bytesPerElement=20,Mi(\"StructArrayLayout6i1ul2ui20\",wa);class Ta extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a){const o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)}emplace(t,e,r,n,i,a,o){const s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t}}Ta.prototype.bytesPerElement=12,Mi(\"StructArrayLayout2i2i2i12\",Ta);class ka extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i){const a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)}emplace(t,e,r,n,i,a){const o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t}}ka.prototype.bytesPerElement=16,Mi(\"StructArrayLayout2f1f2i16\",ka);class Aa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a){const o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)}emplace(t,e,r,n,i,a,o){const s=16*t,l=4*t,c=8*t;return this.uint8[s+0]=e,this.uint8[s+1]=r,this.float32[l+1]=n,this.float32[l+2]=i,this.int16[c+6]=a,this.int16[c+7]=o,t}}Aa.prototype.bytesPerElement=16,Mi(\"StructArrayLayout2ub2f2i16\",Aa);class Ma extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t}}Ma.prototype.bytesPerElement=6,Mi(\"StructArrayLayout3ui6\",Ma);class Sa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g){const y=this.length;return this.resize(y+1),this.emplace(y,t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g)}emplace(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y){const v=24*t,x=12*t,_=48*t;return this.int16[v+0]=e,this.int16[v+1]=r,this.uint16[v+2]=n,this.uint16[v+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[v+10]=l,this.uint16[v+11]=c,this.uint16[v+12]=u,this.float32[x+7]=h,this.float32[x+8]=f,this.uint8[_+36]=p,this.uint8[_+37]=d,this.uint8[_+38]=m,this.uint32[x+10]=g,this.int16[v+22]=y,t}}Sa.prototype.bytesPerElement=48,Mi(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Sa);class Ea extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,w,T,k,A,M,S){const E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,w,T,k,A,M,S)}emplace(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,w,T,k,A,M,S,E){const C=32*t,L=16*t;return this.int16[C+0]=e,this.int16[C+1]=r,this.int16[C+2]=n,this.int16[C+3]=i,this.int16[C+4]=a,this.int16[C+5]=o,this.int16[C+6]=s,this.int16[C+7]=l,this.uint16[C+8]=c,this.uint16[C+9]=u,this.uint16[C+10]=h,this.uint16[C+11]=f,this.uint16[C+12]=p,this.uint16[C+13]=d,this.uint16[C+14]=m,this.uint16[C+15]=g,this.uint16[C+16]=y,this.uint16[C+17]=v,this.uint16[C+18]=x,this.uint16[C+19]=_,this.uint16[C+20]=b,this.uint16[C+21]=w,this.uint16[C+22]=T,this.uint32[L+12]=k,this.float32[L+13]=A,this.float32[L+14]=M,this.uint16[C+30]=S,this.uint16[C+31]=E,t}}Ea.prototype.bytesPerElement=64,Mi(\"StructArrayLayout8i15ui1ul2f2ui64\",Ea);class Ca extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t){const e=this.length;return this.resize(e+1),this.emplace(e,t)}emplace(t,e){const r=1*t;return this.float32[r+0]=e,t}}Ca.prototype.bytesPerElement=4,Mi(\"StructArrayLayout1f4\",Ca);class La extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=6*t,a=3*t;return this.uint16[i+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,t}}La.prototype.bytesPerElement=12,Mi(\"StructArrayLayout1ui2f12\",La);class Ia extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t}}Ia.prototype.bytesPerElement=8,Mi(\"StructArrayLayout1ul2ui8\",Ia);class Pa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e){const r=this.length;return this.resize(r+1),this.emplace(r,t,e)}emplace(t,e,r){const n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t}}Pa.prototype.bytesPerElement=4,Mi(\"StructArrayLayout2ui4\",Pa);class za extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t){const e=this.length;return this.resize(e+1),this.emplace(e,t)}emplace(t,e){const r=1*t;return this.uint16[r+0]=e,t}}za.prototype.bytesPerElement=2,Mi(\"StructArrayLayout1ui2\",za);class Oa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e,r,n){const i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)}emplace(t,e,r,n,i){const a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t}}Oa.prototype.bytesPerElement=16,Mi(\"StructArrayLayout4f16\",Oa);class Da extends la{get anchorPointX(){return this._structArray.int16[this._pos2+0]}get anchorPointY(){return this._structArray.int16[this._pos2+1]}get x1(){return this._structArray.int16[this._pos2+2]}get y1(){return this._structArray.int16[this._pos2+3]}get x2(){return this._structArray.int16[this._pos2+4]}get y2(){return this._structArray.int16[this._pos2+5]}get featureIndex(){return this._structArray.uint32[this._pos4+3]}get sourceLayerIndex(){return this._structArray.uint16[this._pos2+8]}get bucketIndex(){return this._structArray.uint16[this._pos2+9]}get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)}}Da.prototype.size=20;class Ra extends wa{get(t){return new Da(this,t)}}Mi(\"CollisionBoxArray\",Ra);class Fa extends la{get anchorX(){return this._structArray.int16[this._pos2+0]}get anchorY(){return this._structArray.int16[this._pos2+1]}get glyphStartIndex(){return this._structArray.uint16[this._pos2+2]}get numGlyphs(){return this._structArray.uint16[this._pos2+3]}get vertexStartIndex(){return this._structArray.uint32[this._pos4+2]}get lineStartIndex(){return this._structArray.uint32[this._pos4+3]}get lineLength(){return this._structArray.uint32[this._pos4+4]}get segment(){return this._structArray.uint16[this._pos2+10]}get lowerSize(){return this._structArray.uint16[this._pos2+11]}get upperSize(){return this._structArray.uint16[this._pos2+12]}get lineOffsetX(){return this._structArray.float32[this._pos4+7]}get lineOffsetY(){return this._structArray.float32[this._pos4+8]}get writingMode(){return this._structArray.uint8[this._pos1+36]}get placedOrientation(){return this._structArray.uint8[this._pos1+37]}set placedOrientation(t){this._structArray.uint8[this._pos1+37]=t}get hidden(){return this._structArray.uint8[this._pos1+38]}set hidden(t){this._structArray.uint8[this._pos1+38]=t}get crossTileID(){return this._structArray.uint32[this._pos4+10]}set crossTileID(t){this._structArray.uint32[this._pos4+10]=t}get associatedIconIndex(){return this._structArray.int16[this._pos2+22]}}Fa.prototype.size=48;class Ba extends Sa{get(t){return new Fa(this,t)}}Mi(\"PlacedSymbolArray\",Ba);class Na extends la{get anchorX(){return this._structArray.int16[this._pos2+0]}get anchorY(){return this._structArray.int16[this._pos2+1]}get rightJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+2]}get centerJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+3]}get leftJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+4]}get verticalPlacedTextSymbolIndex(){return this._structArray.int16[this._pos2+5]}get placedIconSymbolIndex(){return this._structArray.int16[this._pos2+6]}get verticalPlacedIconSymbolIndex(){return this._structArray.int16[this._pos2+7]}get key(){return this._structArray.uint16[this._pos2+8]}get textBoxStartIndex(){return this._structArray.uint16[this._pos2+9]}get textBoxEndIndex(){return this._structArray.uint16[this._pos2+10]}get verticalTextBoxStartIndex(){return this._structArray.uint16[this._pos2+11]}get verticalTextBoxEndIndex(){return this._structArray.uint16[this._pos2+12]}get iconBoxStartIndex(){return this._structArray.uint16[this._pos2+13]}get iconBoxEndIndex(){return this._structArray.uint16[this._pos2+14]}get verticalIconBoxStartIndex(){return this._structArray.uint16[this._pos2+15]}get verticalIconBoxEndIndex(){return this._structArray.uint16[this._pos2+16]}get featureIndex(){return this._structArray.uint16[this._pos2+17]}get numHorizontalGlyphVertices(){return this._structArray.uint16[this._pos2+18]}get numVerticalGlyphVertices(){return this._structArray.uint16[this._pos2+19]}get numIconVertices(){return this._structArray.uint16[this._pos2+20]}get numVerticalIconVertices(){return this._structArray.uint16[this._pos2+21]}get useRuntimeCollisionCircles(){return this._structArray.uint16[this._pos2+22]}get crossTileID(){return this._structArray.uint32[this._pos4+12]}set crossTileID(t){this._structArray.uint32[this._pos4+12]=t}get textBoxScale(){return this._structArray.float32[this._pos4+13]}get collisionCircleDiameter(){return this._structArray.float32[this._pos4+14]}get textAnchorOffsetStartIndex(){return this._structArray.uint16[this._pos2+30]}get textAnchorOffsetEndIndex(){return this._structArray.uint16[this._pos2+31]}}Na.prototype.size=64;class ja extends Ea{get(t){return new Na(this,t)}}Mi(\"SymbolInstanceArray\",ja);class Ua extends Ca{getoffsetX(t){return this.float32[1*t+0]}}Mi(\"GlyphOffsetArray\",Ua);class Va extends pa{getx(t){return this.int16[3*t+0]}gety(t){return this.int16[3*t+1]}gettileUnitDistanceFromAnchor(t){return this.int16[3*t+2]}}Mi(\"SymbolLineVertexArray\",Va);class qa extends la{get textAnchor(){return this._structArray.uint16[this._pos2+0]}get textOffset0(){return this._structArray.float32[this._pos4+1]}get textOffset1(){return this._structArray.float32[this._pos4+2]}}qa.prototype.size=12;class Ha extends La{get(t){return new qa(this,t)}}Mi(\"TextAnchorOffsetArray\",Ha);class Ga extends la{get featureIndex(){return this._structArray.uint32[this._pos4+0]}get sourceLayerIndex(){return this._structArray.uint16[this._pos2+2]}get bucketIndex(){return this._structArray.uint16[this._pos2+3]}}Ga.prototype.size=8;class Za extends Ia{get(t){return new Ga(this,t)}}Mi(\"FeatureIndexArray\",Za);class Wa extends fa{}class Ya extends fa{}class Xa extends fa{}class $a extends ma{}class Ja extends ga{}class Ka extends ya{}class Qa extends va{}class to extends xa{}class eo extends _a{}class ro extends ba{}class no extends Ta{}class io extends Aa{}class ao extends Ma{}class oo extends Pa{}const so=ua([{name:\"a_pos\",components:2,type:\"Int16\"}],4),{members:lo,size:co,alignment:uo}=so;class ho{constructor(t=[]){this.segments=t}prepareSegment(t,e,r,n){let i=this.segments[this.segments.length-1];return t>ho.MAX_VERTEX_ARRAY_LENGTH&&T(`Max vertices per segment is ${ho.MAX_VERTEX_ARRAY_LENGTH}: bucket requested ${t}`),(!i||i.vertexLength+t>ho.MAX_VERTEX_ARRAY_LENGTH||i.sortKey!==n)&&(i={vertexOffset:e.length,primitiveOffset:r.length,vertexLength:0,primitiveLength:0},void 0!==n&&(i.sortKey=n),this.segments.push(i)),i}get(){return this.segments}destroy(){for(const t of this.segments)for(const e in t.vaos)t.vaos[e].destroy()}static simpleSegment(t,e,r,n){return new ho([{vertexOffset:t,primitiveOffset:e,vertexLength:r,primitiveLength:n,vaos:{},sortKey:0}])}}function fo(t,e){return 256*(t=m(Math.floor(t),0,255))+m(Math.floor(e),0,255)}ho.MAX_VERTEX_ARRAY_LENGTH=Math.pow(2,16)-1,Mi(\"SegmentVector\",ho);const po=ua([{name:\"a_pattern_from\",components:4,type:\"Uint16\"},{name:\"a_pattern_to\",components:4,type:\"Uint16\"},{name:\"a_pixel_ratio_from\",components:1,type:\"Uint16\"},{name:\"a_pixel_ratio_to\",components:1,type:\"Uint16\"}]);var mo={exports:{}},go={exports:{}};!function(t){t.exports=function(t,e){var r,n,i,a,o,s,l,c;for(r=3&t.length,n=t.length-r,i=e,o=3432918353,s=461845907,c=0;c<n;)l=255&t.charCodeAt(c)|(255&t.charCodeAt(++c))<<8|(255&t.charCodeAt(++c))<<16|(255&t.charCodeAt(++c))<<24,++c,i=27492+(65535&(a=5*(65535&(i=(i^=l=(65535&(l=(l=(65535&l)*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295)<<13|i>>>19))+((5*(i>>>16)&65535)<<16)&4294967295))+((58964+(a>>>16)&65535)<<16);switch(l=0,r){case 3:l^=(255&t.charCodeAt(c+2))<<16;case 2:l^=(255&t.charCodeAt(c+1))<<8;case 1:i^=l=(65535&(l=(l=(65535&(l^=255&t.charCodeAt(c)))*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295}return i^=t.length,i=2246822507*(65535&(i^=i>>>16))+((2246822507*(i>>>16)&65535)<<16)&4294967295,i=3266489909*(65535&(i^=i>>>13))+((3266489909*(i>>>16)&65535)<<16)&4294967295,(i^=i>>>16)>>>0}}(go);var yo=go.exports,vo={exports:{}};!function(t){t.exports=function(t,e){for(var r,n=t.length,i=e^n,a=0;n>=4;)r=1540483477*(65535&(r=255&t.charCodeAt(a)|(255&t.charCodeAt(++a))<<8|(255&t.charCodeAt(++a))<<16|(255&t.charCodeAt(++a))<<24))+((1540483477*(r>>>16)&65535)<<16),i=1540483477*(65535&i)+((1540483477*(i>>>16)&65535)<<16)^(r=1540483477*(65535&(r^=r>>>24))+((1540483477*(r>>>16)&65535)<<16)),n-=4,++a;switch(n){case 3:i^=(255&t.charCodeAt(a+2))<<16;case 2:i^=(255&t.charCodeAt(a+1))<<8;case 1:i=1540483477*(65535&(i^=255&t.charCodeAt(a)))+((1540483477*(i>>>16)&65535)<<16)}return i=1540483477*(65535&(i^=i>>>13))+((1540483477*(i>>>16)&65535)<<16),(i^=i>>>15)>>>0}}(vo);var xo=yo,_o=vo.exports;mo.exports=xo,mo.exports.murmur3=xo,mo.exports.murmur2=_o;var bo=r(mo.exports);class wo{constructor(){this.ids=[],this.positions=[],this.indexed=!1}add(t,e,r,n){this.ids.push(To(t)),this.positions.push(e,r,n)}getPositions(t){if(!this.indexed)throw new Error(\"Trying to get index, but feature positions are not indexed\");const e=To(t);let r=0,n=this.ids.length-1;for(;r<n;){const t=r+n>>1;this.ids[t]>=e?n=t:r=t+1}const i=[];for(;this.ids[r]===e;){const t=this.positions[3*r],e=this.positions[3*r+1],n=this.positions[3*r+2];i.push({index:t,start:e,end:n}),r++}return i}static serialize(t,e){const r=new Float64Array(t.ids),n=new Uint32Array(t.positions);return ko(r,n,0,r.length-1),e&&e.push(r.buffer,n.buffer),{ids:r,positions:n}}static deserialize(t){const e=new wo;return e.ids=t.ids,e.positions=t.positions,e.indexed=!0,e}}function To(t){const e=+t;return!isNaN(e)&&e<=Number.MAX_SAFE_INTEGER?e:bo(String(t))}function ko(t,e,r,n){for(;r<n;){const i=t[r+n>>1];let a=r-1,o=n+1;for(;;){do{a++}while(t[a]<i);do{o--}while(t[o]>i);if(a>=o)break;Ao(t,a,o),Ao(e,3*a,3*o),Ao(e,3*a+1,3*o+1),Ao(e,3*a+2,3*o+2)}o-r<n-o?(ko(t,e,r,o),r=o+1):(ko(t,e,o+1,n),n=o)}}function Ao(t,e,r){const n=t[e];t[e]=t[r],t[r]=n}Mi(\"FeaturePositionMap\",wo);class Mo{constructor(t,e){this.gl=t.gl,this.location=e}}class So extends Mo{constructor(t,e){super(t,e),this.current=0}set(t){this.current!==t&&(this.current=t,this.gl.uniform1f(this.location,t))}}class Eo extends Mo{constructor(t,e){super(t,e),this.current=[0,0,0,0]}set(t){t[0]===this.current[0]&&t[1]===this.current[1]&&t[2]===this.current[2]&&t[3]===this.current[3]||(this.current=t,this.gl.uniform4f(this.location,t[0],t[1],t[2],t[3]))}}class Co extends Mo{constructor(t,e){super(t,e),this.current=Xt.transparent}set(t){t.r===this.current.r&&t.g===this.current.g&&t.b===this.current.b&&t.a===this.current.a||(this.current=t,this.gl.uniform4f(this.location,t.r,t.g,t.b,t.a))}}const Lo=new Float32Array(16);function Io(t){return[fo(255*t.r,255*t.g),fo(255*t.b,255*t.a)]}class Po{constructor(t,e,r){this.value=t,this.uniformNames=e.map((t=>`u_${t}`)),this.type=r}setUniform(t,e,r){t.set(r.constantOr(this.value))}getBinding(t,e,r){return\"color\"===this.type?new Co(t,e):new So(t,e)}}class zo{constructor(t,e){this.uniformNames=e.map((t=>`u_${t}`)),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1}setConstantPatternPositions(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr}setUniform(t,e,r,n){const i=\"u_pattern_to\"===n?this.patternTo:\"u_pattern_from\"===n?this.patternFrom:\"u_pixel_ratio_to\"===n?this.pixelRatioTo:\"u_pixel_ratio_from\"===n?this.pixelRatioFrom:null;i&&t.set(i)}getBinding(t,e,r){return\"u_pattern\"===r.substr(0,9)?new Eo(t,e):new So(t,e)}}class Oo{constructor(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map((t=>({name:`a_${t}`,type:\"Float32\",components:\"color\"===r?2:1,offset:0}))),this.paintVertexArray=new n}populatePaintArray(t,e,r,n,i){const a=this.paintVertexArray.length,o=this.expression.evaluate(new Hi(0),e,{},n,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o)}updatePaintArray(t,e,r,n){const i=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,i)}_setPaintValue(t,e,r){if(\"color\"===this.type){const n=Io(r);for(let r=t;r<e;r++)this.paintVertexArray.emplace(r,n[0],n[1])}else{for(let n=t;n<e;n++)this.paintVertexArray.emplace(n,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}}upload(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))}destroy(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()}}class Do{constructor(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((t=>`u_${t}_t`)),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((t=>({name:`a_${t}`,type:\"Float32\",components:\"color\"===r?4:2,offset:0}))),this.paintVertexArray=new a}populatePaintArray(t,e,r,n,i){const a=this.expression.evaluate(new Hi(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new Hi(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)}updatePaintArray(t,e,r,n){const i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)}_setPaintValue(t,e,r,n){if(\"color\"===this.type){const i=Io(r),a=Io(n);for(let r=t;r<e;r++)this.paintVertexArray.emplace(r,i[0],i[1],a[0],a[1])}else{for(let i=t;i<e;i++)this.paintVertexArray.emplace(i,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}}upload(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))}destroy(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()}setUniform(t,e){const r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=m(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)}getBinding(t,e,r){return new So(t,e)}}class Ro{constructor(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i}populatePaintArray(t,e,r){const n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)}updatePaintArray(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)}_setPaintValues(t,e,r,n){if(!n||!r)return;const{min:i,mid:a,max:o}=r,s=n[i],l=n[a],c=n[o];if(s&&l&&c)for(let r=t;r<e;r++)this.zoomInPaintVertexArray.emplace(r,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(r,l.tl[0],l.tl[1],l.br[0],l.br[1],c.tl[0],c.tl[1],c.br[0],c.br[1],l.pixelRatio,c.pixelRatio)}upload(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,po.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,po.members,this.expression.isStateDependent))}destroy(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()}}class Fo{constructor(t,e,r){this.binders={},this._buffers=[];const n=[];for(const i in t.paint._values){if(!r(i))continue;const a=t.paint.get(i);if(!(a instanceof Ji&&hn(a.property.specification)))continue;const o=No(i,t.type),s=a.value,l=a.property.specification.type,c=a.property.useIntegerZoom,u=a.property.specification[\"property-type\"],h=\"cross-faded\"===u||\"cross-faded-data-driven\"===u;if(\"constant\"===s.kind)this.binders[i]=h?new zo(s.value,o):new Po(s.value,o,l),n.push(`/u_${i}`);else if(\"source\"===s.kind||h){const r=jo(i,l,\"source\");this.binders[i]=h?new Ro(s,l,c,e,r,t.id):new Oo(s,o,l,r),n.push(`/a_${i}`)}else{const t=jo(i,l,\"composite\");this.binders[i]=new Do(s,o,l,c,e,t),n.push(`/z_${i}`)}}this.cacheKey=n.sort().join(\"\")}getMaxValue(t){const e=this.binders[t];return e instanceof Oo||e instanceof Do?e.maxValue:0}populatePaintArrays(t,e,r,n,i){for(const a in this.binders){const o=this.binders[a];(o instanceof Oo||o instanceof Do||o instanceof Ro)&&o.populatePaintArray(t,e,r,n,i)}}setConstantPatternPositions(t,e){for(const r in this.binders){const n=this.binders[r];n instanceof zo&&n.setConstantPatternPositions(t,e)}}updatePaintArrays(t,e,r,n,i){let a=!1;for(const o in t){const s=e.getPositions(o);for(const e of s){const s=r.feature(e.index);for(const r in this.binders){const l=this.binders[r];if((l instanceof Oo||l instanceof Do||l instanceof Ro)&&!0===l.expression.isStateDependent){const c=n.paint.get(r);l.expression=c.value,l.updatePaintArray(e.start,e.end,s,t[o],i),a=!0}}}}return a}defines(){const t=[];for(const e in this.binders){const r=this.binders[e];(r instanceof Po||r instanceof zo)&&t.push(...r.uniformNames.map((t=>`#define HAS_UNIFORM_${t}`)))}return t}getBinderAttributes(){const t=[];for(const e in this.binders){const r=this.binders[e];if(r instanceof Oo||r instanceof Do)for(let e=0;e<r.paintVertexAttributes.length;e++)t.push(r.paintVertexAttributes[e].name);else if(r instanceof Ro)for(let e=0;e<po.members.length;e++)t.push(po.members[e].name)}return t}getBinderUniforms(){const t=[];for(const e in this.binders){const r=this.binders[e];if(r instanceof Po||r instanceof zo||r instanceof Do)for(const e of r.uniformNames)t.push(e)}return t}getPaintVertexBuffers(){return this._buffers}getUniforms(t,e){const r=[];for(const n in this.binders){const i=this.binders[n];if(i instanceof Po||i instanceof zo||i instanceof Do)for(const a of i.uniformNames)if(e[a]){const o=i.getBinding(t,e[a],a);r.push({name:a,property:n,binding:o})}}return r}setUniforms(t,e,r,n){for(const{name:t,property:i,binding:a}of e)this.binders[i].setUniform(a,n,r.get(i),t)}updatePaintBuffers(t){this._buffers=[];for(const e in this.binders){const r=this.binders[e];if(t&&r instanceof Ro){const e=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;e&&this._buffers.push(e)}else(r instanceof Oo||r instanceof Do)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}}upload(t){for(const e in this.binders){const r=this.binders[e];(r instanceof Oo||r instanceof Do||r instanceof Ro)&&r.upload(t)}this.updatePaintBuffers()}destroy(){for(const t in this.binders){const e=this.binders[t];(e instanceof Oo||e instanceof Do||e instanceof Ro)&&e.destroy()}}}class Bo{constructor(t,e,r=(()=>!0)){this.programConfigurations={};for(const n of t)this.programConfigurations[n.id]=new Fo(n,e,r);this.needsUpload=!1,this._featureMap=new wo,this._bufferOffset=0}populatePaintArrays(t,e,r,n,i,a){for(const r in this.programConfigurations)this.programConfigurations[r].populatePaintArrays(t,e,n,i,a);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0}updatePaintArrays(t,e,r,n){for(const i of r)this.needsUpload=this.programConfigurations[i.id].updatePaintArrays(t,this._featureMap,e,i,n)||this.needsUpload}get(t){return this.programConfigurations[t]}upload(t){if(this.needsUpload){for(const e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}}destroy(){for(const t in this.programConfigurations)this.programConfigurations[t].destroy()}}function No(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(`${e}-`,\"\").replace(/-/g,\"_\")]}function jo(t,e,r){const n={color:{source:ya,composite:Oa},number:{source:Ca,composite:ya}},i=function(t){return{\"line-pattern\":{source:Qa,composite:Qa},\"fill-pattern\":{source:Qa,composite:Qa},\"fill-extrusion-pattern\":{source:Qa,composite:Qa}}[t]}(t);return 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Ya,this.indexArray=new ao,this.segments=new ho,this.programConfigurations=new Bo(t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((t=>t.isStateDependent())).map((t=>t.id))}populate(t,e,r){const n=this.layers[0],i=[];let a=null,o=!1;\"circle\"===n.type&&(a=n.layout.get(\"circle-sort-key\"),o=!a.isConstant());for(const{feature:e,id:n,index:s,sourceLayerIndex:l}of t){const t=this.layers[0]._featureFilter.needGeometry,c=Go(e,t);if(!this.layers[0]._featureFilter.filter(new Hi(this.zoom),c,r))continue;const u=o?a.evaluate(c,{},r):void 0,h={id:n,properties:e.properties,type:e.type,sourceLayerIndex:l,index:s,geometry:t?c.geometry:Ho(e),patterns:{},sortKey:u};i.push(h)}o&&i.sort(((t,e)=>t.sortKey-e.sortKey));for(const n of i){const{geometry:i,index:a,sourceLayerIndex:o}=n,s=t[a].feature;this.addFeature(n,i,a,r),e.featureIndex.insert(s,i,a,o,this.index)}}update(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)}isEmpty(){return 0===this.layoutVertexArray.length}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,lo),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())}addFeature(t,e,r,n){for(const r of e)for(const e of r){const r=e.x,n=e.y;if(r<0||r>=Uo||n<0||n>=Uo)continue;const i=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray,t.sortKey),a=i.vertexLength;Zo(this.layoutVertexArray,r,n,-1,-1),Zo(this.layoutVertexArray,r,n,1,-1),Zo(this.layoutVertexArray,r,n,1,1),Zo(this.layoutVertexArray,r,n,-1,1),this.indexArray.emplaceBack(a,a+1,a+2),this.indexArray.emplaceBack(a,a+3,a+2),i.vertexLength+=4,i.primitiveLength+=2}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,{},n)}}function Yo(t,e){for(let r=0;r<t.length;r++)if(ns(e,t[r]))return!0;for(let r=0;r<e.length;r++)if(ns(t,e[r]))return!0;return!!Ko(t,e)}function Xo(t,e,r){return!!ns(t,e)||!!ts(e,t,r)}function $o(t,e){if(1===t.length)return rs(e,t[0]);for(let r=0;r<e.length;r++){const n=e[r];for(let e=0;e<n.length;e++)if(ns(t,n[e]))return!0}for(let r=0;r<t.length;r++)if(rs(e,t[r]))return!0;for(let r=0;r<e.length;r++)if(Ko(t,e[r]))return!0;return!1}function Jo(t,e,r){if(t.length>1){if(Ko(t,e))return!0;for(let n=0;n<e.length;n++)if(ts(e[n],t,r))return!0}for(let 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Qi(Z.paint_circle[\"circle-translate\"]),\"circle-translate-anchor\":new Qi(Z.paint_circle[\"circle-translate-anchor\"]),\"circle-pitch-scale\":new Qi(Z.paint_circle[\"circle-pitch-scale\"]),\"circle-pitch-alignment\":new Qi(Z.paint_circle[\"circle-pitch-alignment\"]),\"circle-stroke-width\":new ta(Z.paint_circle[\"circle-stroke-width\"]),\"circle-stroke-color\":new ta(Z.paint_circle[\"circle-stroke-color\"]),\"circle-stroke-opacity\":new ta(Z.paint_circle[\"circle-stroke-opacity\"])})},get layout(){return ls=ls||new ia({\"circle-sort-key\":new ta(Z.layout_circle[\"circle-sort-key\"])})}},hs=1e-6,fs=\"undefined\"!=typeof Float32Array?Float32Array:Array;function ps(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}function ds(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],m=e[12],g=e[13],y=e[14],v=e[15],x=r[0],_=r[1],b=r[2],w=r[3];return t[0]=x*n+_*s+b*h+w*m,t[1]=x*i+_*l+b*f+w*g,t[2]=x*a+_*c+b*p+w*y,t[3]=x*o+_*u+b*d+w*v,x=r[4],_=r[5],b=r[6],w=r[7],t[4]=x*n+_*s+b*h+w*m,t[5]=x*i+_*l+b*f+w*g,t[6]=x*a+_*c+b*p+w*y,t[7]=x*o+_*u+b*d+w*v,x=r[8],_=r[9],b=r[10],w=r[11],t[8]=x*n+_*s+b*h+w*m,t[9]=x*i+_*l+b*f+w*g,t[10]=x*a+_*c+b*p+w*y,t[11]=x*o+_*u+b*d+w*v,x=r[12],_=r[13],b=r[14],w=r[15],t[12]=x*n+_*s+b*h+w*m,t[13]=x*i+_*l+b*f+w*g,t[14]=x*a+_*c+b*p+w*y,t[15]=x*o+_*u+b*d+w*v,t}Math.hypot||(Math.hypot=function(){for(var t=0,e=arguments.length;e--;)t+=arguments[e]*arguments[e];return Math.sqrt(t)});var ms=function(t,e,r,n,i){var a,o=1/Math.tan(e/2);return t[0]=o/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=o,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=-1,t[12]=0,t[13]=0,t[15]=0,null!=i&&i!==1/0?(a=1/(n-i),t[10]=(i+n)*a,t[14]=2*i*n*a):(t[10]=-1,t[14]=-2*n),t};var gs=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=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*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t};var ys=ds;function vs(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3];return t[0]=r[0]*n+r[4]*i+r[8]*a+r[12]*o,t[1]=r[1]*n+r[5]*i+r[9]*a+r[13]*o,t[2]=r[2]*n+r[6]*i+r[10]*a+r[14]*o,t[3]=r[3]*n+r[7]*i+r[11]*a+r[15]*o,t}var xs,_s=function(t,e,r){return t[0]=e[0]*r[0],t[1]=e[1]*r[1],t[2]=e[2]*r[2],t[3]=e[3]*r[3],t};xs=new fs(4),fs!=Float32Array&&(xs[0]=0,xs[1]=0,xs[2]=0,xs[3]=0);class bs extends oa{constructor(t){super(t,us)}createBucket(t){return new Wo(t)}queryRadius(t){const e=t;return as(\"circle-radius\",this,e)+as(\"circle-stroke-width\",this,e)+os(this.paint.get(\"circle-translate\"))}queryIntersectsFeature(t,e,r,n,i,a,o,s){const l=ss(t,this.paint.get(\"circle-translate\"),this.paint.get(\"circle-translate-anchor\"),a.angle,o),c=this.paint.get(\"circle-radius\").evaluate(e,r)+this.paint.get(\"circle-stroke-width\").evaluate(e,r),u=\"map\"===this.paint.get(\"circle-pitch-alignment\"),h=u?l:function(t,e){return t.map((t=>ws(t,e)))}(l,s),f=u?c*o:c;for(const t of n)for(const e of t){const t=u?e:ws(e,s);let r=f;const n=vs([],[e.x,e.y,0,1],s);if(\"viewport\"===this.paint.get(\"circle-pitch-scale\")&&\"map\"===this.paint.get(\"circle-pitch-alignment\")?r*=n[3]/a.cameraToCenterDistance:\"map\"===this.paint.get(\"circle-pitch-scale\")&&\"viewport\"===this.paint.get(\"circle-pitch-alignment\")&&(r*=a.cameraToCenterDistance/n[3]),Xo(h,t,r))return!0}return!1}}function ws(t,e){const r=vs([],[t.x,t.y,0,1],e);return new a(r[0]/r[3],r[1]/r[3])}class Ts extends Wo{}let ks;Mi(\"HeatmapBucket\",Ts,{omit:[\"layers\"]});var As={get paint(){return ks=ks||new ia({\"heatmap-radius\":new 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ta(Z.paint_fill[\"fill-outline-color\"]),\"fill-translate\":new Qi(Z.paint_fill[\"fill-translate\"]),\"fill-translate-anchor\":new Qi(Z.paint_fill[\"fill-translate-anchor\"]),\"fill-pattern\":new ea(Z.paint_fill[\"fill-pattern\"])})},get layout(){return dl=dl||new ia({\"fill-sort-key\":new ta(Z.layout_fill[\"fill-sort-key\"])})}};class yl extends oa{constructor(t){super(t,gl)}recalculate(t,e){super.recalculate(t,e);const r=this.paint._values[\"fill-outline-color\"];\"constant\"===r.value.kind&&void 0===r.value.value&&(this.paint._values[\"fill-outline-color\"]=this.paint._values[\"fill-color\"])}createBucket(t){return new pl(t)}queryRadius(){return os(this.paint.get(\"fill-translate\"))}queryIntersectsFeature(t,e,r,n,i,a,o){return $o(ss(t,this.paint.get(\"fill-translate\"),this.paint.get(\"fill-translate-anchor\"),a.angle,o),n)}isTileClipped(){return!0}}const vl=ua([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_normal_ed\",components:4,type:\"Int16\"}],4),xl=ua([{name:\"a_centroid\",components:2,type:\"Int16\"}],4),{members:_l,size:bl,alignment:wl}=vl;var Tl={},kl=n,Al=Ml;function Ml(t,e,r,n,i){this.properties={},this.extent=r,this.type=0,this._pbf=t,this._geometry=-1,this._keys=n,this._values=i,t.readFields(Sl,this,e)}function Sl(t,e,r){1==t?e.id=r.readVarint():2==t?function(t,e){for(var r=t.readVarint()+t.pos;t.pos<r;){var n=e._keys[t.readVarint()],i=e._values[t.readVarint()];e.properties[n]=i}}(r,e):3==t?e.type=r.readVarint():4==t&&(e._geometry=r.pos)}function El(t){for(var e,r,n=0,i=0,a=t.length,o=a-1;i<a;o=i++)e=t[i],n+=((r=t[o]).x-e.x)*(e.y+r.y);return n}Ml.types=[\"Unknown\",\"Point\",\"LineString\",\"Polygon\"],Ml.prototype.loadGeometry=function(){var t=this._pbf;t.pos=this._geometry;for(var e,r=t.readVarint()+t.pos,n=1,i=0,a=0,o=0,s=[];t.pos<r;){if(i<=0){var l=t.readVarint();n=7&l,i=l>>3}if(i--,1===n||2===n)a+=t.readSVarint(),o+=t.readSVarint(),1===n&&(e&&s.push(e),e=[]),e.push(new kl(a,o));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&s.push(e),s},Ml.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},Ml.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=Ml.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var h=[];for(n=0;n<l.length;n++)h[n]=l[n][0];u(l=h);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=El(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c=\"Multi\"+c;var f={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(f.id=this.id),f};var Cl=Al,Ll=Il;function Il(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Pl,this,e),this.length=this._features.length}function Pl(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}Il.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Cl(this._pbf,e,this.extent,this._keys,this._values)};var zl=Ll,Ol=function(t,e){this.layers=t.readFields(Dl,{},e)};function Dl(t,e,r){if(3===t){var n=new zl(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Tl.VectorTile=Ol,Tl.VectorTileFeature=Al,Tl.VectorTileLayer=Ll;const Rl=Tl.VectorTileFeature.types,Fl=Math.pow(2,13);function Bl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Fl)+o,i*Fl*2,a*Fl*2,Math.round(s))}class Nl{constructor(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((t=>t.id)),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new $a,this.centroidVertexArray=new Wa,this.indexArray=new ao,this.programConfigurations=new Bo(t.layers,t.zoom),this.segments=new ho,this.stateDependentLayerIds=this.layers.filter((t=>t.isStateDependent())).map((t=>t.id))}populate(t,e,r){this.features=[],this.hasPattern=hl(\"fill-extrusion\",this.layers,e);for(const{feature:n,id:i,index:a,sourceLayerIndex:o}of t){const t=this.layers[0]._featureFilter.needGeometry,s=Go(n,t);if(!this.layers[0]._featureFilter.filter(new Hi(this.zoom),s,r))continue;const l={id:i,sourceLayerIndex:o,index:a,geometry:t?s.geometry:Ho(n),properties:n.properties,type:n.type,patterns:{}};this.hasPattern?this.features.push(fl(\"fill-extrusion\",this.layers,l,this.zoom,e)):this.addFeature(l,l.geometry,a,r,{}),e.featureIndex.insert(n,l.geometry,a,o,this.index,!0)}}addFeatures(t,e,r){for(const t of this.features){const{geometry:n}=t;this.addFeature(t,n,t.index,e,r)}}update(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)}isEmpty(){return 0===this.layoutVertexArray.length&&0===this.centroidVertexArray.length}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,_l),this.centroidVertexBuffer=t.createVertexBuffer(this.centroidVertexArray,xl.members,!0),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.centroidVertexBuffer.destroy())}addFeature(t,e,r,n,i){for(const r of br(e,500)){const e={x:0,y:0,vertexCount:0};let n=0;for(const t of r)n+=t.length;let i=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray);for(const t of r){if(0===t.length)continue;if(Ul(t))continue;let r=0;for(let n=0;n<t.length;n++){const a=t[n];if(n>=1){const o=t[n-1];if(!jl(a,o)){i.vertexLength+4>ho.MAX_VERTEX_ARRAY_LENGTH&&(i=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));const t=a.sub(o)._perp()._unit(),n=o.dist(a);r+n>32768&&(r=0),Bl(this.layoutVertexArray,a.x,a.y,t.x,t.y,0,0,r),Bl(this.layoutVertexArray,a.x,a.y,t.x,t.y,0,1,r),e.x+=2*a.x,e.y+=2*a.y,e.vertexCount+=2,r+=n,Bl(this.layoutVertexArray,o.x,o.y,t.x,t.y,0,0,r),Bl(this.layoutVertexArray,o.x,o.y,t.x,t.y,0,1,r),e.x+=2*o.x,e.y+=2*o.y,e.vertexCount+=2;const s=i.vertexLength;this.indexArray.emplaceBack(s,s+2,s+1),this.indexArray.emplaceBack(s+1,s+2,s+3),i.vertexLength+=4,i.primitiveLength+=2}}}}if(i.vertexLength+n>ho.MAX_VERTEX_ARRAY_LENGTH&&(i=this.segments.prepareSegment(n,this.layoutVertexArray,this.indexArray)),\"Polygon\"!==Rl[t.type])continue;const a=[],o=[],s=i.vertexLength;for(const t of r)if(0!==t.length){t!==r[0]&&o.push(a.length/2);for(let r=0;r<t.length;r++){const n=t[r];Bl(this.layoutVertexArray,n.x,n.y,0,0,1,1,0),e.x+=n.x,e.y+=n.y,e.vertexCount+=1,a.push(n.x),a.push(n.y)}}const l=js(a,o);for(let t=0;t<l.length;t+=3)this.indexArray.emplaceBack(s+l[t],s+l[t+2],s+l[t+1]);i.primitiveLength+=l.length/3,i.vertexLength+=n;for(let t=0;t<e.vertexCount;t++){const t=Math.floor(e.x/e.vertexCount),r=Math.floor(e.y/e.vertexCount);this.centroidVertexArray.emplaceBack(t,r)}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)}}function jl(t,e){return t.x===e.x&&(t.x<0||t.x>Uo)||t.y===e.y&&(t.y<0||t.y>Uo)}function Ul(t){return t.every((t=>t.x<0))||t.every((t=>t.x>Uo))||t.every((t=>t.y<0))||t.every((t=>t.y>Uo))}let Vl;Mi(\"FillExtrusionBucket\",Nl,{omit:[\"layers\",\"features\"]});var ql={get paint(){return Vl=Vl||new ia({\"fill-extrusion-opacity\":new Qi(Z[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new ta(Z[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new Qi(Z[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new Qi(Z[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ea(Z[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new ta(Z[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new ta(Z[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new Qi(Z[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})}};class Hl extends oa{constructor(t){super(t,ql)}createBucket(t){return new Nl(t)}queryRadius(){return os(this.paint.get(\"fill-extrusion-translate\"))}is3D(){return!0}queryIntersectsFeature(t,e,r,n,i,o,s,l){const c=ss(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),h=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),f=function(t,e,r,n){const i=[];for(const r of t){const t=[r.x,r.y,n,1];vs(t,t,e),i.push(new a(t[0]/t[3],t[1]/t[3]))}return i}(c,l,0,0),p=function(t,e,r,n){const i=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,h=n[8]*r,f=n[9]*r,p=n[10]*r,d=n[11]*r;for(const e of t){const t=[],r=[];for(const i of e){const e=i.x,o=i.y,m=n[0]*e+n[4]*o+n[12],g=n[1]*e+n[5]*o+n[13],y=n[2]*e+n[6]*o+n[14],v=n[3]*e+n[7]*o+n[15],x=y+c,_=v+u,b=m+h,w=g+f,T=y+p,k=v+d,A=new a((m+s)/_,(g+l)/_);A.z=x/_,t.push(A);const M=new a(b/k,w/k);M.z=T/k,r.push(M)}i.push(t),o.push(r)}return[i,o]}(n,h,u,l);return function(t,e,r){let n=1/0;$o(r,e)&&(n=Zl(r,e[0]));for(let i=0;i<e.length;i++){const a=e[i],o=t[i];for(let t=0;t<a.length-1;t++){const e=a[t],i=a[t+1],s=o[t],l=[e,i,o[t+1],s,e];Yo(r,l)&&(n=Math.min(n,Zl(r,l)))}}return n!==1/0&&n}(p[0],p[1],f)}}function Gl(t,e){return t.x*e.x+t.y*e.y}function Zl(t,e){if(1===t.length){let r=0;const n=e[r++];let i;for(;!i||n.equals(i);)if(i=e[r++],!i)return 1/0;for(;r<e.length;r++){const a=e[r],o=t[0],s=i.sub(n),l=a.sub(n),c=o.sub(n),u=Gl(s,s),h=Gl(s,l),f=Gl(l,l),p=Gl(c,s),d=Gl(c,l),m=u*f-h*h,g=(f*p-h*d)/m,y=(u*d-h*p)/m,v=1-g-y,x=n.z*v+i.z*g+a.z*y;if(isFinite(x))return x}return 1/0}{let t=1/0;for(const r of e)t=Math.min(t,r.z);return t}}const Wl=ua([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4),{members:Yl,size:Xl,alignment:$l}=Wl,Jl=ua([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]),{members:Kl,size:Ql,alignment:tc}=Jl,ec=Tl.VectorTileFeature.types,rc=Math.cos(Math.PI/180*37.5),nc=Math.pow(2,14)/.5;class ic{constructor(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((t=>t.id)),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach((t=>{this.gradients[t.id]={}})),this.layoutVertexArray=new Ja,this.layoutVertexArray2=new Ka,this.indexArray=new ao,this.programConfigurations=new Bo(t.layers,t.zoom),this.segments=new ho,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((t=>t.isStateDependent())).map((t=>t.id))}populate(t,e,r){this.hasPattern=hl(\"line\",this.layers,e);const n=this.layers[0].layout.get(\"line-sort-key\"),i=!n.isConstant(),a=[];for(const{feature:e,id:o,index:s,sourceLayerIndex:l}of t){const t=this.layers[0]._featureFilter.needGeometry,c=Go(e,t);if(!this.layers[0]._featureFilter.filter(new Hi(this.zoom),c,r))continue;const u=i?n.evaluate(c,{},r):void 0,h={id:o,properties:e.properties,type:e.type,sourceLayerIndex:l,index:s,geometry:t?c.geometry:Ho(e),patterns:{},sortKey:u};a.push(h)}i&&a.sort(((t,e)=>t.sortKey-e.sortKey));for(const n of a){const{geometry:i,index:a,sourceLayerIndex:o}=n;if(this.hasPattern){const t=fl(\"line\",this.layers,n,this.zoom,e);this.patternFeatures.push(t)}else this.addFeature(n,i,a,r,{});const s=t[a].feature;e.featureIndex.insert(s,i,a,o,this.index)}}update(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)}addFeatures(t,e,r){for(const t of this.patternFeatures)this.addFeature(t,t.geometry,t.index,e,r)}isEmpty(){return 0===this.layoutVertexArray.length}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(t){this.uploaded||(0!==this.layoutVertexArray2.length&&(this.layoutVertexBuffer2=t.createVertexBuffer(this.layoutVertexArray2,Kl)),this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Yl),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())}lineFeatureClips(t){if(t.properties&&Object.prototype.hasOwnProperty.call(t.properties,\"mapbox_clip_start\")&&Object.prototype.hasOwnProperty.call(t.properties,\"mapbox_clip_end\"))return{start:+t.properties.mapbox_clip_start,end:+t.properties.mapbox_clip_end}}addFeature(t,e,r,n,i){const a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(t);for(const r of e)this.addLine(r,t,o,s,l,c);this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)}addLine(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(let e=0;e<t.length-1;e++)this.totalDistance+=t[e].dist(t[e+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}const o=\"Polygon\"===ec[e.type];let s=t.length;for(;s>=2&&t[s-1].equals(t[s-2]);)s--;let l=0;for(;l<s-1&&t[l].equals(t[l+1]);)l++;if(s<(o?3:2))return;\"bevel\"===r&&(i=1.05);const c=this.overscaling<=16?15*Uo/(512*this.overscaling):0,u=this.segments.prepareSegment(10*s,this.layoutVertexArray,this.indexArray);let h,f,p,d,m;this.e1=this.e2=-1,o&&(h=t[s-2],m=t[l].sub(h)._unit()._perp());for(let e=l;e<s;e++){if(p=e===s-1?o?t[l+1]:void 0:t[e+1],p&&t[e].equals(p))continue;m&&(d=m),h&&(f=h),h=t[e],m=p?p.sub(h)._unit()._perp():d,d=d||m;let g=d.add(m);0===g.x&&0===g.y||g._unit();const y=d.x*m.x+d.y*m.y,v=g.x*m.x+g.y*m.y,x=0!==v?1/v:1/0,_=2*Math.sqrt(2-2*v),b=v<rc&&f&&p,w=d.x*m.y-d.y*m.x>0;if(b&&e>l){const t=h.dist(f);if(t>2*c){const e=h.sub(h.sub(f)._mult(c/t)._round());this.updateDistance(f,e),this.addCurrentVertex(e,d,0,0,u),f=e}}const T=f&&p;let k=T?r:o?\"butt\":n;if(T&&\"round\"===k&&(x<a?k=\"miter\":x<=2&&(k=\"fakeround\")),\"miter\"===k&&x>i&&(k=\"bevel\"),\"bevel\"===k&&(x>2&&(k=\"flipbevel\"),x<i&&(k=\"miter\")),f&&this.updateDistance(f,h),\"miter\"===k)g._mult(x),this.addCurrentVertex(h,g,0,0,u);else if(\"flipbevel\"===k){if(x>100)g=m.mult(-1);else{const t=x*d.add(m).mag()/d.sub(m).mag();g._perp()._mult(t*(w?-1:1))}this.addCurrentVertex(h,g,0,0,u),this.addCurrentVertex(h,g.mult(-1),0,0,u)}else if(\"bevel\"===k||\"fakeround\"===k){const t=-Math.sqrt(x*x-1),e=w?t:0,r=w?0:t;if(f&&this.addCurrentVertex(h,d,e,r,u),\"fakeround\"===k){const t=Math.round(180*_/Math.PI/20);for(let e=1;e<t;e++){let r=e/t;if(.5!==r){const t=r-.5;r+=r*t*(r-1)*((1.0904+y*(y*(3.55645-1.43519*y)-3.2452))*t*t+(.848013+y*(.215638*y-1.06021)))}const n=m.sub(d)._mult(r)._add(d)._unit()._mult(w?-1:1);this.addHalfVertex(h,n.x,n.y,!1,w,0,u)}}p&&this.addCurrentVertex(h,m,-e,-r,u)}else if(\"butt\"===k)this.addCurrentVertex(h,g,0,0,u);else if(\"square\"===k){const t=f?1:-1;this.addCurrentVertex(h,g,t,t,u)}else\"round\"===k&&(f&&(this.addCurrentVertex(h,d,0,0,u),this.addCurrentVertex(h,d,1,1,u,!0)),p&&(this.addCurrentVertex(h,m,-1,-1,u,!0),this.addCurrentVertex(h,m,0,0,u)));if(b&&e<s-1){const t=h.dist(p);if(t>2*c){const e=h.add(p.sub(h)._mult(c/t)._round());this.updateDistance(h,e),this.addCurrentVertex(e,m,0,0,u),h=e}}}}addCurrentVertex(t,e,r,n,i,a=!1){const o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>nc/2&&0===this.totalDistance&&(this.distance=0,this.updateScaledDistance(),this.addCurrentVertex(t,e,r,n,i,a))}addHalfVertex({x:t,y:e},r,n,i,a,o,s){const l=.5*(this.lineClips?this.scaledDistance*(nc-1):this.scaledDistance);if(this.layoutVertexArray.emplaceBack((t<<1)+(i?1:0),(e<<1)+(a?1:0),Math.round(63*r)+128,Math.round(63*n)+128,1+(0===o?0:o<0?-1:1)|(63&l)<<2,l>>6),this.lineClips){const t=(this.scaledDistance-this.lineClips.start)/(this.lineClips.end-this.lineClips.start);this.layoutVertexArray2.emplaceBack(t,this.lineClipsArray.length)}const 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ra(Z.paint_line[\"line-dasharray\"]),\"line-pattern\":new ea(Z.paint_line[\"line-pattern\"]),\"line-gradient\":new na(Z.paint_line[\"line-gradient\"])})},get layout(){return ac=ac||new ia({\"line-cap\":new Qi(Z.layout_line[\"line-cap\"]),\"line-join\":new ta(Z.layout_line[\"line-join\"]),\"line-miter-limit\":new Qi(Z.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new Qi(Z.layout_line[\"line-round-limit\"]),\"line-sort-key\":new ta(Z.layout_line[\"line-sort-key\"])})}};class lc extends ta{possiblyEvaluate(t,e){return e=new Hi(Math.floor(e.zoom),{now:e.now,fadeDuration:e.fadeDuration,zoomHistory:e.zoomHistory,transition:e.transition}),super.possiblyEvaluate(t,e)}evaluate(t,e,r,n){return e=y({},e,{zoom:Math.floor(e.zoom)}),super.evaluate(t,e,r,n)}}let cc;class uc extends oa{constructor(t){super(t,sc),this.gradientVersion=0,cc||(cc=new lc(sc.paint.properties[\"line-width\"].specification),cc.useIntegerZoom=!0)}_handleSpecialPaintPropertyUpdate(t){if(\"line-gradient\"===t){const 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l=ss(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),c=s/2*hc(this.paint.get(\"line-width\").evaluate(e,r),this.paint.get(\"line-gap-width\").evaluate(e,r)),u=this.paint.get(\"line-offset\").evaluate(e,r);return u&&(n=function(t,e){const r=[];for(let n=0;n<t.length;n++){const i=t[n],o=[];for(let t=0;t<i.length;t++){const r=i[t-1],n=i[t],s=i[t+1],l=0===t?new a(0,0):n.sub(r)._unit()._perp(),c=t===i.length-1?new a(0,0):s.sub(n)._unit()._perp(),u=l._add(c)._unit(),h=u.x*c.x+u.y*c.y;0!==h&&u._mult(1/h),o.push(u._mult(e)._add(n))}r.push(o)}return r}(n,u*s)),function(t,e,r){for(let n=0;n<e.length;n++){const i=e[n];if(t.length>=3)for(let e=0;e<i.length;e++)if(ns(t,i[e]))return!0;if(Jo(t,i,r))return!0}return!1}(l,n,c)}isTileClipped(){return!0}}function hc(t,e){return e>0?e+2*t:t}const 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mc=ua([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_anchor_pos\",components:2,type:\"Int16\"},{name:\"a_extrude\",components:2,type:\"Int16\"}],4),gc=ua([{name:\"a_pos\",components:2,type:\"Float32\"},{name:\"a_radius\",components:1,type:\"Float32\"},{name:\"a_flags\",components:2,type:\"Int16\"}],4);function yc(t,e,r){return t.sections.forEach((t=>{t.text=function(t,e,r){const 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vc={\"!\":\"︕\",\"#\":\"＃\",$:\"＄\",\"%\":\"％\",\"&\":\"＆\",\"(\":\"︵\",\")\":\"︶\",\"*\":\"＊\",\"+\":\"＋\",\",\":\"︐\",\"-\":\"︲\",\".\":\"・\",\"/\":\"／\",\":\":\"︓\",\";\":\"︔\",\"<\":\"︿\",\"=\":\"＝\",\">\":\"﹀\",\"?\":\"︖\",\"@\":\"＠\",\"[\":\"﹇\",\"\\\\\":\"＼\",\"]\":\"﹈\",\"^\":\"＾\",_:\"︳\",\"`\":\"｀\",\"{\":\"︷\",\"|\":\"―\",\"}\":\"︸\",\"~\":\"～\",\"¢\":\"￠\",\"£\":\"￡\",\"¥\":\"￥\",\"¦\":\"￤\",\"¬\":\"￢\",\"¯\":\"￣\",\"–\":\"︲\",\"—\":\"︱\",\"‘\":\"﹃\",\"’\":\"﹄\",\"“\":\"﹁\",\"”\":\"﹂\",\"…\":\"︙\",\"‧\":\"・\",\"₩\":\"￦\",\"、\":\"︑\",\"。\":\"︒\",\"〈\":\"︿\",\"〉\":\"﹀\",\"《\":\"︽\",\"》\":\"︾\",\"「\":\"﹁\",\"」\":\"﹂\",\"『\":\"﹃\",\"』\":\"﹄\",\"【\":\"︻\",\"】\":\"︼\",\"〔\":\"︹\",\"〕\":\"︺\",\"〖\":\"︗\",\"〗\":\"︘\",\"！\":\"︕\",\"（\":\"︵\",\"）\":\"︶\",\"，\":\"︐\",\"－\":\"︲\",\"．\":\"・\",\"：\":\"︓\",\"；\":\"︔\",\"＜\":\"︿\",\"＞\":\"﹀\",\"？\":\"︖\",\"［\":\"﹇\",\"］\":\"﹈\",\"＿\":\"︳\",\"｛\":\"︷\",\"｜\":\"―\",\"｝\":\"︸\",\"｟\":\"︵\",\"｠\":\"︶\",\"｡\":\"︒\",\"｢\":\"﹁\",\"｣\":\"﹂\"};var xc=24,_c=wc,bc={read:function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,h=r?i-1:0,f=r?-1:1,p=t[e+h];for(h+=f,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+h],h+=f,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+h],h+=f,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},write:function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,h=u>>1,f=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,m=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+h>=1?f/l:f*Math.pow(2,1-h))*l>=2&&(o++,l/=2),o+h>=u?(s=0,o=u):o+h>=1?(s=(e*l-1)*Math.pow(2,i),o+=h):(s=e*Math.pow(2,h-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<<i|s,c+=i;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*m}};function wc(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new Uint8Array(t||0),this.pos=0,this.type=0,this.length=this.buf.length}wc.Varint=0,wc.Fixed64=1,wc.Bytes=2,wc.Fixed32=5;var Tc=4294967296,kc=1/Tc,Ac=\"undefined\"==typeof TextDecoder?null:new TextDecoder(\"utf-8\");function Mc(t){return t.type===wc.Bytes?t.readVarint()+t.pos:t.pos+1}function Sc(t,e,r){return r?4294967296*e+(t>>>0):4294967296*(e>>>0)+(t>>>0)}function Ec(t,e,r){var n=e<=16383?1:e<=2097151?2:e<=268435455?3:Math.floor(Math.log(e)/(7*Math.LN2));r.realloc(n);for(var i=r.pos-1;i>=t;i--)r.buf[i+n]=r.buf[i]}function Cc(t,e){for(var r=0;r<t.length;r++)e.writeVarint(t[r])}function Lc(t,e){for(var r=0;r<t.length;r++)e.writeSVarint(t[r])}function Ic(t,e){for(var r=0;r<t.length;r++)e.writeFloat(t[r])}function Pc(t,e){for(var r=0;r<t.length;r++)e.writeDouble(t[r])}function zc(t,e){for(var r=0;r<t.length;r++)e.writeBoolean(t[r])}function Oc(t,e){for(var r=0;r<t.length;r++)e.writeFixed32(t[r])}function Dc(t,e){for(var r=0;r<t.length;r++)e.writeSFixed32(t[r])}function Rc(t,e){for(var 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t.push(this.readSFixed32());var e=Mc(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==wc.Bytes)return t.push(this.readFixed64());var e=Mc(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==wc.Bytes)return t.push(this.readSFixed64());var e=Mc(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===wc.Varint)for(;this.buf[this.pos++]>127;);else if(e===wc.Bytes)this.pos=this.readVarint()+this.pos;else if(e===wc.Fixed32)this.pos+=4;else{if(e!==wc.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),Nc(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),Nc(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),Nc(this.buf,-1&t,this.pos),Nc(this.buf,Math.floor(t*kc),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),Nc(this.buf,-1&t,this.pos),Nc(this.buf,Math.floor(t*kc),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Ec(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),bc.write(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),bc.write(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Ec(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,wc.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,Cc,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Lc,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,zc,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Ic,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,Pc,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,Oc,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,Dc,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,Rc,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,Fc,e)},writeBytesField:function(t,e){this.writeTag(t,wc.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,wc.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,wc.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,wc.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,wc.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,wc.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,wc.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,wc.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,wc.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,wc.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var Uc=r(_c);const Vc=3;function qc(t,e,r){1===t&&r.readMessage(Hc,e)}function Hc(t,e,r){if(3===t){const{id:t,bitmap:n,width:i,height:a,left:o,top:s,advance:l}=r.readMessage(Gc,{});e.push({id:t,bitmap:new Cs({width:i+2*Vc,height:a+2*Vc},n),metrics:{width:i,height:a,left:o,top:s,advance:l}})}}function Gc(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}const Zc=Vc;function Wc(t){let e=0,r=0;for(const n of t)e+=n.w*n.h,r=Math.max(r,n.w);t.sort(((t,e)=>e.h-t.h));const n=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}];let i=0,a=0;for(const e of t)for(let t=n.length-1;t>=0;t--){const r=n[t];if(!(e.w>r.w||e.h>r.h)){if(e.x=r.x,e.y=r.y,a=Math.max(a,e.y+e.h),i=Math.max(i,e.x+e.w),e.w===r.w&&e.h===r.h){const e=n.pop();t<n.length&&(n[t]=e)}else 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10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function lu(t,e,r,n,i,a){let o=null,s=ou(e,r,i,a);for(const t of n){const n=ou(e-t.x,r,i,a)+t.badness;n<=s&&(o=t,s=n)}return{index:t,x:e,priorBreak:o,badness:s}}function cu(t){return t?cu(t.priorBreak).concat(t.index):[]}function uu(t,e,r,n,i,a){if(!t)return[];const o=[],s=function(t,e,r,n,i,a){let o=0;for(let r=0;r<t.length();r++){const s=t.getSection(r);o+=au(t.getCharCode(r),s,n,i,e,a)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,i,a),l=t.text.indexOf(\"​\")>=0;let c=0;for(let r=0;r<t.length();r++){const h=t.getSection(r),f=t.getCharCode(r);if(ru[f]||(c+=au(f,h,n,i,e,a)),r<t.length()-1){const e=!((u=f)<11904||!(zi[\"Bopomofo Extended\"](u)||zi.Bopomofo(u)||zi[\"CJK Compatibility Forms\"](u)||zi[\"CJK Compatibility Ideographs\"](u)||zi[\"CJK Compatibility\"](u)||zi[\"CJK Radicals Supplement\"](u)||zi[\"CJK Strokes\"](u)||zi[\"CJK Symbols and Punctuation\"](u)||zi[\"CJK Unified Ideographs Extension A\"](u)||zi[\"CJK Unified Ideographs\"](u)||zi[\"Enclosed CJK Letters and Months\"](u)||zi[\"Halfwidth and Fullwidth Forms\"](u)||zi.Hiragana(u)||zi[\"Ideographic Description Characters\"](u)||zi[\"Kangxi Radicals\"](u)||zi[\"Katakana Phonetic Extensions\"](u)||zi.Katakana(u)||zi[\"Vertical Forms\"](u)||zi[\"Yi Radicals\"](u)||zi[\"Yi Syllables\"](u)));(nu[f]||e||h.imageName||r!==t.length()-2&&iu[t.getCharCode(r+1)])&&o.push(lu(r+1,c,s,o,su(f,t.getCharCode(r+1),e&&l),!1))}}var u;return cu(lu(t.length(),c,s,o,0,!0))}function hu(t){let e=.5,r=.5;switch(t){case\"right\":case\"top-right\":case\"bottom-right\":e=1;break;case\"left\":case\"top-left\":case\"bottom-left\":e=0}switch(t){case\"bottom\":case\"bottom-right\":case\"bottom-left\":r=1;break;case\"top\":case\"top-right\":case\"top-left\":r=0}return{horizontalAlign:e,verticalAlign:r}}function fu(t,e,r,n,i){if(!n&&!i)return;const a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n;for(let n=e;n<=r;n++)t[n].x-=s,t[n].y+=i}function pu(t,e,r){const{horizontalAlign:n,verticalAlign:i}=hu(r),a=e[0],o=e[1],s=a-t.displaySize[0]*n,l=s+t.displaySize[0],c=o-t.displaySize[1]*i;return{image:t,top:c,bottom:c+t.displaySize[1],left:s,right:l}}function du(t){var e,r;let n=t.left,i=t.top,a=t.right-n,o=t.bottom-i;const s=t.image.content[2]-t.image.content[0],l=t.image.content[3]-t.image.content[1],c=null!==(e=t.image.textFitWidth)&&void 0!==e?e:\"stretchOrShrink\",u=null!==(r=t.image.textFitHeight)&&void 0!==r?r:\"stretchOrShrink\",h=s/l;if(\"proportional\"===u){if(\"stretchOnly\"===c&&a/o<h||\"proportional\"===c){const t=Math.ceil(o*h);n*=t/a,a=t}}else if(\"proportional\"===c&&\"stretchOnly\"===u&&0!==h&&a/o>h){const t=Math.ceil(a/h);i*=t/o,o=t}return{x1:n,y1:i,x2:n+a,y2:i+o}}function mu(t,e,r,n,i,a){const o=t.image;let s;if(o.content){const t=o.content,e=o.pixelRatio||1;s=[t[0]/e,t[1]/e,o.displaySize[0]-t[2]/e,o.displaySize[1]-t[3]/e]}const l=e.left*a,c=e.right*a;let u,h,f,p;\"width\"===r||\"both\"===r?(p=i[0]+l-n[3],h=i[0]+c+n[1]):(p=i[0]+(l+c-o.displaySize[0])/2,h=p+o.displaySize[0]);const d=e.top*a,m=e.bottom*a;return\"height\"===r||\"both\"===r?(u=i[1]+d-n[0],f=i[1]+m+n[2]):(u=i[1]+(d+m-o.displaySize[1])/2,f=u+o.displaySize[1]),{image:o,top:u,right:h,bottom:f,left:p,collisionPadding:s}}const gu=255,yu=128,vu=gu*yu;function xu(t,e){const{expression:r}=e;if(\"constant\"===r.kind)return{kind:\"constant\",layoutSize:r.evaluate(new Hi(t+1))};if(\"source\"===r.kind)return{kind:\"source\"};{const{zoomStops:e,interpolationType:n}=r;let i=0;for(;i<e.length&&e[i]<=t;)i++;i=Math.max(0,i-1);let a=i;for(;a<e.length&&e[a]<t+1;)a++;a=Math.min(e.length-1,a);const o=e[i],s=e[a];return\"composite\"===r.kind?{kind:\"composite\",minZoom:o,maxZoom:s,interpolationType:n}:{kind:\"camera\",minZoom:o,maxZoom:s,minSize:r.evaluate(new Hi(o)),maxSize:r.evaluate(new Hi(s)),interpolationType:n}}}function _u(t,e,r){let n=\"never\";const i=t.get(e);return i?n=i:t.get(r)&&(n=\"always\"),n}const bu=Tl.VectorTileFeature.types,wu=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function Tu(t,e,r,n,i,a,o,s,l,c,u,h,f){const p=s?Math.min(vu,Math.round(s[0])):0,d=s?Math.min(vu,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*h,256*f)}function ku(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function Au(t){for(const e of t.sections)if(Vi(e.text))return!0;return!1}class Mu{constructor(t){this.layoutVertexArray=new to,this.indexArray=new ao,this.programConfigurations=t,this.segments=new ho,this.dynamicLayoutVertexArray=new eo,this.opacityVertexArray=new ro,this.hasVisibleVertices=!1,this.placedSymbolArray=new Ba}isEmpty(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length}upload(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,fc.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,pc.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,wu,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())}}Mi(\"SymbolBuffers\",Mu);class Su{constructor(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new ho,this.collisionVertexArray=new io}upload(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,dc.members,!0)}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())}}Mi(\"CollisionBuffers\",Su);class Eu{constructor(e){this.collisionBoxArray=e.collisionBoxArray,this.zoom=e.zoom,this.overscaling=e.overscaling,this.layers=e.layers,this.layerIds=this.layers.map((t=>t.id)),this.index=e.index,this.pixelRatio=e.pixelRatio,this.sourceLayerIndex=e.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=ps([]),this.placementViewportMatrix=ps([]);const r=this.layers[0]._unevaluatedLayout._values;this.textSizeData=xu(this.zoom,r[\"text-size\"]),this.iconSizeData=xu(this.zoom,r[\"icon-size\"]);const n=this.layers[0].layout,i=n.get(\"symbol-sort-key\"),a=n.get(\"symbol-z-order\");this.canOverlap=\"never\"!==_u(n,\"text-overlap\",\"text-allow-overlap\")||\"never\"!==_u(n,\"icon-overlap\",\"icon-allow-overlap\")||n.get(\"text-ignore-placement\")||n.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=\"viewport-y\"!==a&&!i.isConstant();const o=\"viewport-y\"===a||\"auto\"===a&&!this.sortFeaturesByKey;this.sortFeaturesByY=o&&this.canOverlap,\"point\"===n.get(\"symbol-placement\")&&(this.writingModes=n.get(\"text-writing-mode\").map((e=>t.ai[e]))),this.stateDependentLayerIds=this.layers.filter((t=>t.isStateDependent())).map((t=>t.id)),this.sourceID=e.sourceID}createArrays(){this.text=new Mu(new Bo(this.layers,this.zoom,(t=>/^text/.test(t)))),this.icon=new Mu(new Bo(this.layers,this.zoom,(t=>/^icon/.test(t)))),this.glyphOffsetArray=new Ua,this.lineVertexArray=new Va,this.symbolInstances=new ja,this.textAnchorOffsets=new Ha}calculateGlyphDependencies(t,e,r,n,i){for(let a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){const r=vc[t.charAt(a)];r&&(e[r.charCodeAt(0)]=!0)}}populate(e,r,n){const i=this.layers[0],a=i.layout,o=a.get(\"text-font\"),s=a.get(\"text-field\"),l=a.get(\"icon-image\"),c=(\"constant\"!==s.value.kind||s.value.value instanceof Kt&&!s.value.value.isEmpty()||s.value.value.toString().length>0)&&(\"constant\"!==o.value.kind||o.value.value.length>0),u=\"constant\"!==l.value.kind||!!l.value.value||Object.keys(l.parameters).length>0,h=a.get(\"symbol-sort-key\");if(this.features=[],!c&&!u)return;const f=r.iconDependencies,p=r.glyphDependencies,d=r.availableImages,m=new Hi(this.zoom);for(const{feature:r,id:s,index:l,sourceLayerIndex:g}of e){const e=i._featureFilter.needGeometry,y=Go(r,e);if(!i._featureFilter.filter(m,y,n))continue;let v,x;if(e||(y.geometry=Ho(r)),c){const t=i.getValueAndResolveTokens(\"text-field\",y,n,d),e=Kt.factory(t),r=this.hasRTLText=this.hasRTLText||Au(e);(!r||\"unavailable\"===qi.getRTLTextPluginStatus()||r&&qi.isParsed())&&(v=yc(e,i,y))}if(u){const t=i.getValueAndResolveTokens(\"icon-image\",y,n,d);x=t instanceof re?t:re.fromString(t)}if(!v&&!x)continue;const _=this.sortFeaturesByKey?h.evaluate(y,{},n):void 0,b={id:s,text:v,icon:x,index:l,sourceLayerIndex:g,geometry:y.geometry,properties:r.properties,type:bu[r.type],sortKey:_};if(this.features.push(b),x&&(f[x.name]=!0),v){const e=o.evaluate(y,{},n).join(\",\"),r=\"viewport\"!==a.get(\"text-rotation-alignment\")&&\"point\"!==a.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(t.ai.vertical)>=0;for(const t of v.sections)if(t.image)f[t.image.name]=!0;else{const n=Oi(v.toString()),i=t.fontStack||e,a=p[i]=p[i]||{};this.calculateGlyphDependencies(t.text,a,r,this.allowVerticalPlacement,n)}}}\"line\"===a.get(\"symbol-placement\")&&(this.features=function(t){const e={},r={},n=[];let i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){const a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){const a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){const n=r?e[0][e[0].length-1]:e[0][0];return`${t}:${n.x}:${n.y}`}for(let c=0;c<t.length;c++){const u=t[c],h=u.geometry,f=u.text?u.text.toString():null;if(!f){a(c);continue}const p=l(f,h),d=l(f,h,!0);if(p in r&&d in e&&r[p]!==e[d]){const t=s(p,d,h),i=o(p,d,n[t].geometry);delete e[p],delete r[d],r[l(f,n[i].geometry,!0)]=i,n[t].geometry=null}else p in r?o(p,d,h):d in e?s(p,d,h):(a(c),e[p]=i-1,r[d]=i-1)}return n.filter((t=>t.geometry))}(this.features)),this.sortFeaturesByKey&&this.features.sort(((t,e)=>t.sortKey-e.sortKey))}update(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))}isEmpty(){return 0===this.symbolInstances.length&&!this.hasRTLText}uploadPending(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload}upload(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0}destroyDebugData(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()}destroy(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()}addToLineVertexArray(t,e){const r=this.lineVertexArray.length;if(void 0!==t.segment){let r=t.dist(e[t.segment+1]),n=t.dist(e[t.segment]);const i={};for(let n=t.segment+1;n<e.length;n++)i[n]={x:e[n].x,y:e[n].y,tileUnitDistanceFromAnchor:r},n<e.length-1&&(r+=e[n+1].dist(e[n]));for(let r=t.segment||0;r>=0;r--)i[r]={x:e[r].x,y:e[r].y,tileUnitDistanceFromAnchor:n},r>0&&(n+=e[r-1].dist(e[r]));for(let t=0;t<e.length;t++){const e=i[t];this.lineVertexArray.emplaceBack(e.x,e.y,e.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}}addSymbols(e,r,n,i,a,o,s,l,c,u,h,f){const p=e.indexArray,d=e.layoutVertexArray,m=e.segments.prepareSegment(4*r.length,d,p,this.canOverlap?o.sortKey:void 0),g=this.glyphOffsetArray.length,y=m.vertexLength,v=this.allowVerticalPlacement&&s===t.ai.vertical?Math.PI/2:0,x=o.text&&o.text.sections;for(let t=0;t<r.length;t++){const{tl:i,tr:a,bl:s,br:c,tex:u,pixelOffsetTL:h,pixelOffsetBR:g,minFontScaleX:y,minFontScaleY:_,glyphOffset:b,isSDF:w,sectionIndex:T}=r[t],k=m.vertexLength,A=b[1];Tu(d,l.x,l.y,i.x,A+i.y,u.x,u.y,n,w,h.x,h.y,y,_),Tu(d,l.x,l.y,a.x,A+a.y,u.x+u.w,u.y,n,w,g.x,h.y,y,_),Tu(d,l.x,l.y,s.x,A+s.y,u.x,u.y+u.h,n,w,h.x,g.y,y,_),Tu(d,l.x,l.y,c.x,A+c.y,u.x+u.w,u.y+u.h,n,w,g.x,g.y,y,_),ku(e.dynamicLayoutVertexArray,l,v),p.emplaceBack(k,k+1,k+2),p.emplaceBack(k+1,k+2,k+3),m.vertexLength+=4,m.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(b[0]),t!==r.length-1&&T===r[t+1].sectionIndex||e.programConfigurations.populatePaintArrays(d.length,o,o.index,{},f,x&&x[T])}e.placedSymbolArray.emplaceBack(l.x,l.y,g,this.glyphOffsetArray.length-g,y,c,u,l.segment,n?n[0]:0,n?n[1]:0,i[0],i[1],s,0,!1,0,h)}_addCollisionDebugVertex(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))}addCollisionDebugVertices(t,e,r,n,i,o,s){const l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),c=l.vertexLength,u=i.layoutVertexArray,h=i.collisionVertexArray,f=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,h,o,f,p,new a(t,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,n)),this._addCollisionDebugVertex(u,h,o,f,p,new a(t,n)),l.vertexLength+=4;const d=i.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4}addDebugCollisionBoxes(t,e,r,n){for(let i=t;i<e;i++){const t=this.collisionBoxArray.get(i),e=t.x1,a=t.y1,o=t.x2,s=t.y2;this.addCollisionDebugVertices(e,a,o,s,n?this.textCollisionBox:this.iconCollisionBox,t.anchorPoint,r)}}generateCollisionDebugBuffers(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Su(no,mc.members,oo),this.iconCollisionBox=new Su(no,mc.members,oo);for(let t=0;t<this.symbolInstances.length;t++){const e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}}_deserializeCollisionBoxesForSymbol(t,e,r,n,i,a,o,s,l){const c={};for(let n=e;n<r;n++){const e=t.get(n);c.textBox={x1:e.x1,y1:e.y1,x2:e.x2,y2:e.y2,anchorPointX:e.anchorPointX,anchorPointY:e.anchorPointY},c.textFeatureIndex=e.featureIndex;break}for(let e=n;e<i;e++){const r=t.get(e);c.verticalTextBox={x1:r.x1,y1:r.y1,x2:r.x2,y2:r.y2,anchorPointX:r.anchorPointX,anchorPointY:r.anchorPointY},c.verticalTextFeatureIndex=r.featureIndex;break}for(let e=a;e<o;e++){const r=t.get(e);c.iconBox={x1:r.x1,y1:r.y1,x2:r.x2,y2:r.y2,anchorPointX:r.anchorPointX,anchorPointY:r.anchorPointY},c.iconFeatureIndex=r.featureIndex;break}for(let e=s;e<l;e++){const r=t.get(e);c.verticalIconBox={x1:r.x1,y1:r.y1,x2:r.x2,y2:r.y2,anchorPointX:r.anchorPointX,anchorPointY:r.anchorPointY},c.verticalIconFeatureIndex=r.featureIndex;break}return c}deserializeCollisionBoxes(t){this.collisionArrays=[];for(let e=0;e<this.symbolInstances.length;e++){const r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}}hasTextData(){return this.text.segments.get().length>0}hasIconData(){return this.icon.segments.get().length>0}hasDebugData(){return this.textCollisionBox&&this.iconCollisionBox}hasTextCollisionBoxData(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0}hasIconCollisionBoxData(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0}addIndicesForPlacedSymbol(t,e){const r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs;for(let e=r.vertexStartIndex;e<n;e+=4)t.indexArray.emplaceBack(e,e+1,e+2),t.indexArray.emplaceBack(e+1,e+2,e+3)}getSortedSymbolIndexes(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;const e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[];for(let t=0;t<this.symbolInstances.length;++t){a.push(t);const o=this.symbolInstances.get(t);n.push(0|Math.round(e*o.anchorX+r*o.anchorY)),i.push(o.featureIndex)}return a.sort(((t,e)=>n[t]-n[e]||i[e]-i[t])),a}addToSortKeyRanges(t,e){const r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})}sortFeatures(t){if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(const t of this.symbolInstanceIndexes){const e=this.symbolInstances.get(t);this.featureSortOrder.push(e.featureIndex),[e.rightJustifiedTextSymbolIndex,e.centerJustifiedTextSymbolIndex,e.leftJustifiedTextSymbolIndex].forEach(((t,e,r)=>{t>=0&&r.indexOf(t)===e&&this.addIndicesForPlacedSymbol(this.text,t)})),e.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,e.verticalPlacedTextSymbolIndex),e.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,e.placedIconSymbolIndex),e.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,e.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}}}let Cu;Mi(\"SymbolBucket\",Eu,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Eu.MAX_GLYPHS=65535,Eu.addDynamicAttributes=ku;let Lu;var Iu={get paint(){return Lu=Lu||new ia({\"icon-opacity\":new ta(Z.paint_symbol[\"icon-opacity\"]),\"icon-color\":new ta(Z.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new ta(Z.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new ta(Z.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new ta(Z.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new Qi(Z.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new Qi(Z.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new ta(Z.paint_symbol[\"text-opacity\"]),\"text-color\":new ta(Z.paint_symbol[\"text-color\"],{runtimeType:ft,getOverride:t=>t.textColor,hasOverride:t=>!!t.textColor}),\"text-halo-color\":new ta(Z.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new ta(Z.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new ta(Z.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new Qi(Z.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new Qi(Z.paint_symbol[\"text-translate-anchor\"])})},get layout(){return Cu=Cu||new ia({\"symbol-placement\":new Qi(Z.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new Qi(Z.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new Qi(Z.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new ta(Z.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new Qi(Z.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new Qi(Z.layout_symbol[\"icon-allow-overlap\"]),\"icon-overlap\":new Qi(Z.layout_symbol[\"icon-overlap\"]),\"icon-ignore-placement\":new Qi(Z.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new Qi(Z.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new Qi(Z.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new ta(Z.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new Qi(Z.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new Qi(Z.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new ta(Z.layout_symbol[\"icon-image\"]),\"icon-rotate\":new ta(Z.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new ta(Z.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new Qi(Z.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new ta(Z.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new ta(Z.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new Qi(Z.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new Qi(Z.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new Qi(Z.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new ta(Z.layout_symbol[\"text-field\"]),\"text-font\":new ta(Z.layout_symbol[\"text-font\"]),\"text-size\":new ta(Z.layout_symbol[\"text-size\"]),\"text-max-width\":new ta(Z.layout_symbol[\"text-max-width\"]),\"text-line-height\":new Qi(Z.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new ta(Z.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new ta(Z.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new ta(Z.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new Qi(Z.layout_symbol[\"text-variable-anchor\"]),\"text-variable-anchor-offset\":new ta(Z.layout_symbol[\"text-variable-anchor-offset\"]),\"text-anchor\":new ta(Z.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new Qi(Z.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new Qi(Z.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new ta(Z.layout_symbol[\"text-rotate\"]),\"text-padding\":new Qi(Z.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new Qi(Z.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new ta(Z.layout_symbol[\"text-transform\"]),\"text-offset\":new ta(Z.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new Qi(Z.layout_symbol[\"text-allow-overlap\"]),\"text-overlap\":new Qi(Z.layout_symbol[\"text-overlap\"]),\"text-ignore-placement\":new Qi(Z.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new Qi(Z.layout_symbol[\"text-optional\"])})}};class Pu{constructor(t){if(void 0===t.property.overrides)throw new Error(\"overrides must be provided to instantiate FormatSectionOverride class\");this.type=t.property.overrides?t.property.overrides.runtimeType:lt,this.defaultValue=t}evaluate(t){if(t.formattedSection){const 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}eachChild(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)}outputDefined(){return!1}serialize(){return null}}Mi(\"FormatSectionOverride\",Pu,{omit:[\"defaultValue\"]});class zu extends oa{constructor(t){super(t,Iu)}recalculate(t,e){if(super.recalculate(t,e),\"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\"]=\"map\"===this.layout.get(\"text-rotation-alignment\")?\"map\":\"viewport\"),\"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\")){const t=this.layout.get(\"text-writing-mode\");if(t){const e=[];for(const r of t)e.indexOf(r)<0&&e.push(r);this.layout._values[\"text-writing-mode\"]=e}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()}getValueAndResolveTokens(t,e,r,n){const i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||kn(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,((e,r)=>t&&r in t?String(t[r]):\"\"))}(e.properties,i)}createBucket(t){return new Eu(t)}queryRadius(){return 0}queryIntersectsFeature(){throw new Error(\"Should take a different path in FeatureIndex\")}_setPaintOverrides(){for(const t of Iu.paint.overridableProperties){if(!zu.hasPaintOverride(this.layout,t))continue;const e=this.paint.get(t),r=new Pu(e),n=new Tn(r,e.property.specification);let i=null;i=\"constant\"===e.value.kind||\"source\"===e.value.kind?new Mn(\"source\",n):new Sn(\"composite\",n,e.value.zoomStops),this.paint._values[t]=new Ji(e.property,i,e.parameters)}}_handleOverridablePaintPropertyUpdate(t,e,r){return!(!this.layout||e.isDataDriven()||r.isDataDriven())&&zu.hasPaintOverride(this.layout,t)}static hasPaintOverride(t,e){const r=t.get(\"text-field\"),n=Iu.paint.properties[e];let i=!1;const a=t=>{for(const e of t)if(n.overrides&&n.overrides.hasOverride(e))return void(i=!0)};if(\"constant\"===r.value.kind&&r.value.value instanceof Kt)a(r.value.value.sections);else if(\"source\"===r.value.kind){const t=e=>{if(!i)if(e instanceof se&&ae(e.value)===gt){const t=e.value;a(t.sections)}else e instanceof We?a(e.sections):e.eachChild(t)},e=r.value;e._styleExpression&&t(e._styleExpression.expression)}return i}}let Ou;var Du={get paint(){return Ou=Ou||new ia({\"background-color\":new Qi(Z.paint_background[\"background-color\"]),\"background-pattern\":new ra(Z.paint_background[\"background-pattern\"]),\"background-opacity\":new Qi(Z.paint_background[\"background-opacity\"])})}};class Ru extends oa{constructor(t){super(t,Du)}}let Fu;var Bu={get paint(){return Fu=Fu||new ia({\"raster-opacity\":new Qi(Z.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new Qi(Z.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new Qi(Z.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new Qi(Z.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new Qi(Z.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new Qi(Z.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new Qi(Z.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new Qi(Z.paint_raster[\"raster-fade-duration\"])})}};class Nu extends oa{constructor(t){super(t,Bu)}}class ju extends oa{constructor(t){super(t,{}),this.onAdd=t=>{this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},this.onRemove=t=>{this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},this.implementation=t}is3D(){return\"3d\"===this.implementation.renderingMode}hasOffscreenPass(){return void 0!==this.implementation.prerender}recalculate(){}updateTransitions(){}hasTransition(){return!1}serialize(){throw new Error(\"Custom layers cannot be serialized\")}}class Uu{constructor(t){this._methodToThrottle=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=()=>{this._triggered=!1,this._methodToThrottle()})}trigger(){this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((()=>{this._triggered=!1,this._methodToThrottle()}),0))}remove(){delete this._channel,this._methodToThrottle=()=>{}}}const Vu=6371008.8;class qu{constructor(t,e){if(isNaN(t)||isNaN(e))throw new Error(`Invalid LngLat object: (${t}, ${e})`);if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")}wrap(){return new qu(g(this.lng,-180,180),this.lat)}toArray(){return[this.lng,this.lat]}toString(){return`LngLat(${this.lng}, ${this.lat})`}distanceTo(t){const 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 Vu*Math.acos(Math.min(i,1))}static convert(t){if(t instanceof qu)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new qu(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new qu(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")}}const Hu=2*Math.PI*Vu;function Gu(t){return Hu*Math.cos(t*Math.PI/180)}function Zu(t){return(180+t)/360}function Wu(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Yu(t,e){return t/Gu(e)}function Xu(t){const e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}class $u{constructor(t,e,r=0){this.x=+t,this.y=+e,this.z=+r}static fromLngLat(t,e=0){const r=qu.convert(t);return new $u(Zu(r.lng),Wu(r.lat),Yu(e,r.lat))}toLngLat(){return new qu(360*this.x-180,Xu(this.y))}toAltitude(){return t=this.z,e=this.y,t*Gu(Xu(e));var t,e}meterInMercatorCoordinateUnits(){return 1/Hu*(t=Xu(this.y),1/Math.cos(t*Math.PI/180));var t}}function Ju(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}class Ku{constructor(t,e,r){if(t<0||t>25||r<0||r>=Math.pow(2,t)||e<0||e>=Math.pow(2,t))throw new Error(`x=${e}, y=${r}, z=${t} outside of bounds. 0<=x<${Math.pow(2,t)}, 0<=y<${Math.pow(2,t)} 0<=z<=25 `);this.z=t,this.x=e,this.y=r,this.key=eh(0,t,t,e,r)}equals(t){return this.z===t.z&&this.x===t.x&&this.y===t.y}url(t,e,r){const n=(a=this.x,o=this.y,s=this.z,l=Ju(256*a,256*(o=Math.pow(2,s)-o-1),s),c=Ju(256*(a+1),256*(o+1),s),l[0]+\",\"+l[1]+\",\"+c[0]+\",\"+c[1]),i=function(t,e,r){let n,i=\"\";for(let a=t;a>0;a--)n=1<<a-1,i+=(e&n?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);var a,o,s,l,c;return t[(this.x+this.y)%t.length].replace(/{prefix}/g,(this.x%16).toString(16)+(this.y%16).toString(16)).replace(/{z}/g,String(this.z)).replace(/{x}/g,String(this.x)).replace(/{y}/g,String(\"tms\"===r?Math.pow(2,this.z)-this.y-1:this.y)).replace(/{ratio}/g,e>1?\"@2x\":\"\").replace(/{quadkey}/g,i).replace(/{bbox-epsg-3857}/g,n)}isChildOf(t){const e=this.z-t.z;return e>0&&t.x===this.x>>e&&t.y===this.y>>e}getTilePoint(t){const e=Math.pow(2,this.z);return new a((t.x*e-this.x)*Uo,(t.y*e-this.y)*Uo)}toString(){return`${this.z}/${this.x}/${this.y}`}}class Qu{constructor(t,e){this.wrap=t,this.canonical=e,this.key=eh(t,e.z,e.z,e.x,e.y)}}class th{constructor(t,e,r,n,i){if(t<r)throw new Error(`overscaledZ should be >= z; overscaledZ = ${t}; z = ${r}`);this.overscaledZ=t,this.wrap=e,this.canonical=new Ku(r,+n,+i),this.key=eh(e,t,r,n,i)}clone(){return new th(this.overscaledZ,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)}equals(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)}scaledTo(t){if(t>this.overscaledZ)throw new Error(`targetZ > this.overscaledZ; targetZ = ${t}; overscaledZ = ${this.overscaledZ}`);const e=this.canonical.z-t;return t>this.canonical.z?new th(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new th(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)}calculateScaledKey(t,e){if(t>this.overscaledZ)throw new Error(`targetZ > this.overscaledZ; targetZ = ${t}; overscaledZ = ${this.overscaledZ}`);const r=this.canonical.z-t;return t>this.canonical.z?eh(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):eh(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)}isChildOf(t){if(t.wrap!==this.wrap)return!1;const e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e}children(t){if(this.overscaledZ>=t)return[new th(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];const e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new th(e,this.wrap,e,r,n),new th(e,this.wrap,e,r+1,n),new th(e,this.wrap,e,r,n+1),new th(e,this.wrap,e,r+1,n+1)]}isLessThan(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))}wrapped(){return new th(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)}unwrapTo(t){return new th(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)}overscaleFactor(){return Math.pow(2,this.overscaledZ-this.canonical.z)}toUnwrapped(){return new Qu(this.wrap,this.canonical)}toString(){return`${this.overscaledZ}/${this.canonical.x}/${this.canonical.y}`}getTilePoint(t){return this.canonical.getTilePoint(new $u(t.x-this.wrap,t.y))}}function eh(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);const a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Mi(\"CanonicalTileID\",Ku),Mi(\"OverscaledTileID\",th,{omit:[\"posMatrix\"]});class rh{constructor(t,e,r,n=1,i=1,a=1,o=0){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&![\"mapbox\",\"terrarium\",\"custom\"].includes(r))return void T(`\"${r}\" is not a valid encoding type. Valid types include \"mapbox\", \"terrarium\" and \"custom\".`);this.stride=e.height;const s=this.dim=e.height-2;switch(this.data=new Uint32Array(e.data.buffer),r){case\"terrarium\":this.redFactor=256,this.greenFactor=1,this.blueFactor=1/256,this.baseShift=32768;break;case\"custom\":this.redFactor=n,this.greenFactor=i,this.blueFactor=a,this.baseShift=o;break;default:this.redFactor=6553.6,this.greenFactor=25.6,this.blueFactor=.1,this.baseShift=1e4}for(let t=0;t<s;t++)this.data[this._idx(-1,t)]=this.data[this._idx(0,t)],this.data[this._idx(s,t)]=this.data[this._idx(s-1,t)],this.data[this._idx(t,-1)]=this.data[this._idx(t,0)],this.data[this._idx(t,s)]=this.data[this._idx(t,s-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(s,-1)]=this.data[this._idx(s-1,0)],this.data[this._idx(-1,s)]=this.data[this._idx(0,s-1)],this.data[this._idx(s,s)]=this.data[this._idx(s-1,s-1)],this.min=Number.MAX_SAFE_INTEGER,this.max=Number.MIN_SAFE_INTEGER;for(let t=0;t<s;t++)for(let e=0;e<s;e++){const r=this.get(t,e);r>this.max&&(this.max=r),r<this.min&&(this.min=r)}}get(t,e){const r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return this.unpack(r[n],r[n+1],r[n+2])}getUnpackVector(){return[this.redFactor,this.greenFactor,this.blueFactor,this.baseShift]}_idx(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)}unpack(t,e,r){return t*this.redFactor+e*this.greenFactor+r*this.blueFactor-this.baseShift}getPixels(){return new Ls({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))}backfillBorder(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");let 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}const s=-e*this.dim,l=-r*this.dim;for(let e=a;e<o;e++)for(let r=n;r<i;r++)this.data[this._idx(r,e)]=t.data[this._idx(r+s,e+l)]}}Mi(\"DEMData\",rh);class nh{constructor(t){this._stringToNumber={},this._numberToString=[];for(let e=0;e<t.length;e++){const r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}}encode(t){return this._stringToNumber[t]}decode(t){if(t>=this._numberToString.length)throw new Error(`Out of bounds. Index requested n=${t} can't be >= this._numberToString.length ${this._numberToString.length}`);return this._numberToString[t]}}class ih{constructor(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i}get geometry(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry}set geometry(t){this._geometry=t}toJSON(){const t={geometry:this.geometry};for(const e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t}}class ah{constructor(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new ki(Uo,16,0),this.grid3D=new ki(Uo,16,0),this.featureIndexArray=new Za,this.promoteId=e}insert(t,e,r,n,i,a){const o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);const s=a?this.grid3D:this.grid;for(let t=0;t<e.length;t++){const r=e[t],n=[1/0,1/0,-1/0,-1/0];for(let t=0;t<r.length;t++){const e=r[t];n[0]=Math.min(n[0],e.x),n[1]=Math.min(n[1],e.y),n[2]=Math.max(n[2],e.x),n[3]=Math.max(n[3],e.y)}n[0]<Uo&&n[1]<Uo&&n[2]>=0&&n[3]>=0&&s.insert(o,n[0],n[1],n[2],n[3])}}loadVTLayers(){return this.vtLayers||(this.vtLayers=new Tl.VectorTile(new Uc(this.rawTileData)).layers,this.sourceLayerCoder=new nh(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers}query(t,e,r,n){this.loadVTLayers();const i=t.params||{},o=Uo/t.tileSize/t.scale,s=zn(i.filter),l=t.queryGeometry,c=t.queryPadding*o,u=sh(l),h=this.grid.query(u.minX-c,u.minY-c,u.maxX+c,u.maxY+c),f=sh(t.cameraQueryGeometry),p=this.grid3D.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c,((e,r,n,i)=>function(t,e,r,n,i){for(const a of t)if(e<=a.x&&r<=a.y&&n>=a.x&&i>=a.y)return!0;const o=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(const e of o)if(ns(t,e))return!0;for(let e=0;e<t.length-1;e++)if(is(t[e],t[e+1],o))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)));for(const t of p)h.push(t);h.sort(lh);const d={};let m;for(let a=0;a<h.length;a++){const c=h[a];if(c===m)continue;m=c;const u=this.featureIndexArray.get(c);let f=null;this.loadMatchingFeature(d,u.bucketIndex,u.sourceLayerIndex,u.featureIndex,s,i.layers,i.availableImages,e,r,n,((e,r,n)=>(f||(f=Ho(e)),r.queryIntersectsFeature(l,e,n,f,this.z,t.transform,o,t.pixelPosMatrix))))}return d}loadMatchingFeature(t,e,r,n,i,a,o,s,l,c,u){const h=this.bucketLayerIDs[e];if(a&&!function(t,e){for(let r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,h))return;const f=this.sourceLayerCoder.decode(r),p=this.vtLayers[f].feature(n);if(i.needGeometry){const t=Go(p,!0);if(!i.filter(new Hi(this.tileID.overscaledZ),t,this.tileID.canonical))return}else if(!i.filter(new Hi(this.tileID.overscaledZ),p))return;const d=this.getId(p,f);for(let e=0;e<h.length;e++){const r=h[e];if(a&&a.indexOf(r)<0)continue;const i=s[r];if(!i)continue;let f={};d&&c&&(f=c.getState(i.sourceLayer||\"_geojsonTileLayer\",d));const m=y({},l[r]);m.paint=oh(m.paint,i.paint,p,f,o),m.layout=oh(m.layout,i.layout,p,f,o);const g=!u||u(p,i,f);if(!g)continue;const v=new ih(p,this.z,this.x,this.y,d);v.layer=m;let x=t[r];void 0===x&&(x=t[r]=[]),x.push({featureIndex:n,feature:v,intersectionZ:g})}}lookupSymbolFeatures(t,e,r,n,i,a,o,s){const l={};this.loadVTLayers();const c=zn(i);for(const i of t)this.loadMatchingFeature(l,r,n,i,c,a,o,s,e);return l}hasLayer(t){for(const e of this.bucketLayerIDs)for(const r of e)if(t===r)return!0;return!1}getId(t,e){let r=t.id;if(this.promoteId){const n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];r=t.properties[n],\"boolean\"==typeof r&&(r=Number(r))}return r}}function oh(t,e,r,n,i){return x(t,((t,a)=>{const o=e instanceof Ki?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function sh(t){let e=1/0,r=1/0,n=-1/0,i=-1/0;for(const a of t)e=Math.min(e,a.x),r=Math.min(r,a.y),n=Math.max(n,a.x),i=Math.max(i,a.y);return{minX:e,minY:r,maxX:n,maxY:i}}function lh(t,e){return e-t}function ch(t,e,r,n,i){const o=[];for(let s=0;s<t.length;s++){const l=t[s];let c;for(let t=0;t<l.length-1;t++){let s=l[t],u=l[t+1];s.x<e&&u.x<e||(s.x<e?s=new a(e,s.y+(u.y-s.y)*((e-s.x)/(u.x-s.x)))._round():u.x<e&&(u=new a(e,s.y+(u.y-s.y)*((e-s.x)/(u.x-s.x)))._round()),s.y<r&&u.y<r||(s.y<r?s=new a(s.x+(u.x-s.x)*((r-s.y)/(u.y-s.y)),r)._round():u.y<r&&(u=new a(s.x+(u.x-s.x)*((r-s.y)/(u.y-s.y)),r)._round()),s.x>=n&&u.x>=n||(s.x>=n?s=new a(n,s.y+(u.y-s.y)*((n-s.x)/(u.x-s.x)))._round():u.x>=n&&(u=new a(n,s.y+(u.y-s.y)*((n-s.x)/(u.x-s.x)))._round()),s.y>=i&&u.y>=i||(s.y>=i?s=new a(s.x+(u.x-s.x)*((i-s.y)/(u.y-s.y)),i)._round():u.y>=i&&(u=new a(s.x+(u.x-s.x)*((i-s.y)/(u.y-s.y)),i)._round()),c&&s.equals(c[c.length-1])||(c=[s],o.push(c)),c.push(u)))))}}return o}Mi(\"FeatureIndex\",ah,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});class uh extends a{constructor(t,e,r,n){super(t,e),this.angle=r,void 0!==n&&(this.segment=n)}clone(){return new uh(this.x,this.y,this.angle,this.segment)}}function hh(t,e,r,n,i){if(void 0===e.segment||0===r)return!0;let a=e,o=e.segment+1,s=0;for(;s>-r/2;){if(o--,o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;const l=[];let c=0;for(;s<r/2;){const e=t[o-1],r=t[o],a=t[o+1];if(!a)return!1;let u=e.angleTo(r)-r.angleTo(a);for(u=Math.abs((u+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:u}),c+=u;s-l[0].distance>n;)c-=l.shift().angleDelta;if(c>i)return!1;o++,s+=r.dist(a)}return!0}function fh(t){let e=0;for(let r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function ph(t,e,r){return t?.6*e*r:0}function dh(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function mh(t,e,r,n,i,a){const o=ph(r,i,a),s=dh(r,n)*a;let l=0;const c=fh(t)/2;for(let r=0;r<t.length-1;r++){const n=t[r],i=t[r+1],a=n.dist(i);if(l+a>c){const u=(c-l)/a,h=Pe.number(n.x,i.x,u),f=Pe.number(n.y,i.y,u),p=new uh(h,f,i.angleTo(n),r);return p._round(),!o||hh(t,p,s,o,e)?p:void 0}l+=a}}function gh(t,e,r,n,i,a,o,s,l){const c=ph(n,a,o),u=dh(n,i),h=u*o,f=0===t[0].x||t[0].x===l||0===t[0].y||t[0].y===l;return e-h<e/4&&(e=h+e/4),yh(t,f?e/2*s%e:(u/2+2*a)*o*s%e,e,c,r,h,f,!1,l)}function yh(t,e,r,n,i,a,o,s,l){const c=a/2,u=fh(t);let h=0,f=e-r,p=[];for(let e=0;e<t.length-1;e++){const o=t[e],s=t[e+1],d=o.dist(s),m=s.angleTo(o);for(;f+r<h+d;){f+=r;const g=(f-h)/d,y=Pe.number(o.x,s.x,g),v=Pe.number(o.y,s.y,g);if(y>=0&&y<l&&v>=0&&v<l&&f-c>=0&&f+c<=u){const r=new uh(y,v,m,e);r._round(),n&&!hh(t,r,a,n,i)||p.push(r)}}h+=d}return s||p.length||o||(p=yh(t,h/2,r,n,i,a,o,!0,l)),p}Mi(\"Anchor\",uh);const vh=Yc;function xh(t,e,r,n){const i=[],o=t.image,s=o.pixelRatio,l=o.paddedRect.w-2*vh,c=o.paddedRect.h-2*vh;let u={x1:t.left,y1:t.top,x2:t.right,y2:t.bottom};const h=o.stretchX||[[0,l]],f=o.stretchY||[[0,c]],p=(t,e)=>t+e[1]-e[0],d=h.reduce(p,0),m=f.reduce(p,0),g=l-d,y=c-m;let v=0,x=d,_=0,b=m,w=0,T=g,k=0,A=y;if(o.content&&n){const e=o.content,r=e[2]-e[0],n=e[3]-e[1];(o.textFitWidth||o.textFitHeight)&&(u=du(t)),v=_h(h,0,e[0]),_=_h(f,0,e[1]),x=_h(h,e[0],e[2]),b=_h(f,e[1],e[3]),w=e[0]-v,k=e[1]-_,T=r-x,A=n-b}const M=u.x1,S=u.y1,E=u.x2-M,C=u.y2-S,L=(t,n,i,l)=>{const c=wh(t.stretch-v,x,E,M),u=Th(t.fixed-w,T,t.stretch,d),h=wh(n.stretch-_,b,C,S),f=Th(n.fixed-k,A,n.stretch,m),p=wh(i.stretch-v,x,E,M),g=Th(i.fixed-w,T,i.stretch,d),y=wh(l.stretch-_,b,C,S),L=Th(l.fixed-k,A,l.stretch,m),I=new a(c,h),P=new a(p,h),z=new a(p,y),O=new a(c,y),D=new a(u/s,f/s),R=new a(g/s,L/s),F=e*Math.PI/180;if(F){const t=Math.sin(F),e=Math.cos(F),r=[e,-t,t,e];I._matMult(r),P._matMult(r),O._matMult(r),z._matMult(r)}const B=t.stretch+t.fixed,N=i.stretch+i.fixed,j=n.stretch+n.fixed,U=l.stretch+l.fixed;return{tl:I,tr:P,bl:O,br:z,tex:{x:o.paddedRect.x+vh+B,y:o.paddedRect.y+vh+j,w:N-B,h:U-j},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:D,pixelOffsetBR:R,minFontScaleX:T/s/E,minFontScaleY:A/s/C,isSDF:r}};if(n&&(o.stretchX||o.stretchY)){const t=bh(h,g,d),e=bh(f,y,m);for(let r=0;r<t.length-1;r++){const n=t[r],a=t[r+1];for(let t=0;t<e.length-1;t++){const r=e[t],o=e[t+1];i.push(L(n,r,a,o))}}}else i.push(L({fixed:0,stretch:-1},{fixed:0,stretch:-1},{fixed:0,stretch:l+1},{fixed:0,stretch:c+1}));return i}function _h(t,e,r){let n=0;for(const i of t)n+=Math.max(e,Math.min(r,i[1]))-Math.max(e,Math.min(r,i[0]));return n}function bh(t,e,r){const n=[{fixed:-vh,stretch:0}];for(const[e,r]of t){const t=n[n.length-1];n.push({fixed:e-t.stretch,stretch:t.stretch}),n.push({fixed:e-t.stretch,stretch:t.stretch+(r-e)})}return n.push({fixed:e+vh,stretch:r}),n}function wh(t,e,r,n){return t/e*r+n}function Th(t,e,r,n){return t-e*r/n}class kh{constructor(t,e,r,n,i,o,s,l,c,u){var h;if(this.boxStartIndex=t.length,c){let t=o.top,e=o.bottom;const r=o.collisionPadding;r&&(t-=r[1],e+=r[3]);let n=e-t;n>0&&(n=Math.max(10,n),this.circleDiameter=n)}else{const c=(null===(h=o.image)||void 0===h?void 0:h.content)&&(o.image.textFitWidth||o.image.textFitHeight)?du(o):{x1:o.left,y1:o.top,x2:o.right,y2:o.bottom};c.y1=c.y1*s-l[0],c.y2=c.y2*s+l[2],c.x1=c.x1*s-l[3],c.x2=c.x2*s+l[1];const f=o.collisionPadding;if(f&&(c.x1-=f[0]*s,c.y1-=f[1]*s,c.x2+=f[2]*s,c.y2+=f[3]*s),u){const t=new a(c.x1,c.y1),e=new a(c.x2,c.y1),r=new a(c.x1,c.y2),n=new a(c.x2,c.y2),i=u*Math.PI/180;t._rotate(i),e._rotate(i),r._rotate(i),n._rotate(i),c.x1=Math.min(t.x,e.x,r.x,n.x),c.x2=Math.max(t.x,e.x,r.x,n.x),c.y1=Math.min(t.y,e.y,r.y,n.y),c.y2=Math.max(t.y,e.y,r.y,n.y)}t.emplaceBack(e.x,e.y,c.x1,c.y1,c.x2,c.y2,r,n,i)}this.boxEndIndex=t.length}}class Ah{constructor(t=[],e=((t,e)=>t<e?-1:t>e?1:0)){if(this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(let t=(this.length>>1)-1;t>=0;t--)this._down(t)}push(t){this.data.push(t),this._up(this.length++)}pop(){if(0===this.length)return;const t=this.data[0],e=this.data.pop();return--this.length>0&&(this.data[0]=e,this._down(0)),t}peek(){return this.data[0]}_up(t){const{data:e,compare:r}=this,n=e[t];for(;t>0;){const i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n}_down(t){const{data:e,compare:r}=this,n=this.length>>1,i=e[t];for(;t<n;){let n=1+(t<<1);const a=n+1;if(a<this.length&&r(e[a],e[n])<0&&(n=a),r(e[n],i)>=0)break;e[t]=e[n],t=n}e[t]=i}}function Mh(t,e=1,r=!1){let n=1/0,i=1/0,o=-1/0,s=-1/0;const l=t[0];for(let t=0;t<l.length;t++){const e=l[t];(!t||e.x<n)&&(n=e.x),(!t||e.y<i)&&(i=e.y),(!t||e.x>o)&&(o=e.x),(!t||e.y>s)&&(s=e.y)}const c=o-n,u=s-i,h=Math.min(c,u);let f=h/2;const p=new Ah([],Sh);if(0===h)return new a(n,i);for(let e=n;e<o;e+=h)for(let 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u=3===n?l.length-1:l.length,h=0;h<u;h++){1===h&&1!==n&&e.writeVarint(M(2,u-1));var f=l[h].x-i,p=l[h].y-a;e.writeVarint(S(f)),e.writeVarint(S(p)),i+=f,a+=p}3===n&&e.writeVarint(M(7,1))}}function C(t,e){var r=typeof t;\"string\"===r?e.writeStringField(1,t):\"boolean\"===r?e.writeBooleanField(7,t):\"number\"===r&&(t%1!=0?e.writeDoubleField(3,t):t<0?e.writeSVarintField(6,t):e.writeVarintField(5,t))}d.exports=w,d.exports.fromVectorTileJs=w,d.exports.fromGeojsonVt=function(t,e){e=e||{};var r={};for(var n in t)r[n]=new b(t[n].features,e),r[n].name=n,r[n].version=e.version,r[n].extent=e.extent;return w({layers:r})},d.exports.GeoJSONWrapper=b;var L=d.exports,I=t.bx(L);const P={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:t=>t},z=Math.fround||(O=new Float32Array(1),t=>(O[0]=+t,O[0]));var O;const D=3,R=5,F=6;class B{constructor(t){this.options=Object.assign(Object.create(P),t),this.trees=new Array(this.options.maxZoom+1),this.stride=this.options.reduce?7:6,this.clusterProps=[]}load(t){const{log:e,minZoom:r,maxZoom:n}=this.options;e&&console.time(\"total time\");const i=`prepare ${t.length} points`;e&&console.time(i),this.points=t;const a=[];for(let e=0;e<t.length;e++){const r=t[e];if(!r.geometry)continue;const[n,i]=r.geometry.coordinates,o=z(U(n)),s=z(V(i));a.push(o,s,1/0,e,-1,1),this.options.reduce&&a.push(0)}let o=this.trees[n+1]=this._createTree(a);e&&console.timeEnd(i);for(let t=n;t>=r;t--){const r=+Date.now();o=this.trees[t]=this._createTree(this._cluster(o,t)),e&&console.log(\"z%d: %d clusters in %dms\",t,o.numItems,+Date.now()-r)}return e&&console.timeEnd(\"total time\"),this}getClusters(t,e){let r=((t[0]+180)%360+360)%360-180;const n=Math.max(-90,Math.min(90,t[1]));let i=180===t[2]?180:((t[2]+180)%360+360)%360-180;const a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){const t=this.getClusters([r,n,180,a],e),o=this.getClusters([-180,n,i,a],e);return t.concat(o)}const o=this.trees[this._limitZoom(e)],s=o.range(U(r),V(a),U(i),V(n)),l=o.data,c=[];for(const t of s){const e=this.stride*t;c.push(l[e+R]>1?N(l,e,this.clusterProps):this.points[l[e+D]])}return c}getChildren(t){const e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);const a=i.data;if(e*this.stride>=a.length)throw new Error(n);const o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=a[e*this.stride],l=a[e*this.stride+1],c=i.within(s,l,o),u=[];for(const e of c){const r=e*this.stride;a[r+4]===t&&u.push(a[r+R]>1?N(a,r,this.clusterProps):this.points[a[r+D]])}if(0===u.length)throw new Error(n);return u}getLeaves(t,e,r){e=e||10,r=r||0;const n=[];return this._appendLeaves(n,t,e,r,0),n}getTile(t,e,r){const n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),{extent:a,radius:o}=this.options,s=o/a,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.data,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.data,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.data,-1,r,i,u),u.features.length?u:null}getClusterExpansionZoom(t){let e=this._getOriginZoom(t)-1;for(;e<=this.options.maxZoom;){const r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e}_appendLeaves(t,e,r,n,i){const a=this.getChildren(e);for(const e of a){const a=e.properties;if(a&&a.cluster?i+a.point_count<=n?i+=a.point_count:i=this._appendLeaves(t,a.cluster_id,r,n,i):i<n?i++:t.push(e),t.length===r)break}return i}_createTree(e){const r=new t.aw(e.length/this.stride|0,this.options.nodeSize,Float32Array);for(let t=0;t<e.length;t+=this.stride)r.add(e[t],e[t+1]);return r.finish(),r.data=e,r}_addTileFeatures(t,e,r,n,i,a){for(const o of 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a=e===i.maxZoom?0:i.tolerance/((1<<e)*i.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:t.length,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0};for(const e of t)pt(o,e,a,i);return o}function pt(t,e,r,n){const i=e.geometry,a=e.type,o=[];if(t.minX=Math.min(t.minX,e.minX),t.minY=Math.min(t.minY,e.minY),t.maxX=Math.max(t.maxX,e.maxX),t.maxY=Math.max(t.maxY,e.maxY),\"Point\"===a||\"MultiPoint\"===a)for(let e=0;e<i.length;e+=3)o.push(i[e],i[e+1]),t.numPoints++,t.numSimplified++;else if(\"LineString\"===a)dt(o,i,t,r,!1,!1);else if(\"MultiLineString\"===a||\"Polygon\"===a)for(let e=0;e<i.length;e++)dt(o,i[e],t,r,\"Polygon\"===a,0===e);else if(\"MultiPolygon\"===a)for(let e=0;e<i.length;e++){const n=i[e];for(let e=0;e<n.length;e++)dt(o,n[e],t,r,!0,0===e)}if(o.length){let r=e.tags||null;if(\"LineString\"===a&&n.lineMetrics){r={};for(const t in e.tags)r[t]=e.tags[t];r.mapbox_clip_start=i.start/i.size,r.mapbox_clip_end=i.end/i.size}const s={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:r};null!==e.id&&(s.id=e.id),t.features.push(s)}}function dt(t,e,r,n,i,a){const o=n*n;if(n>0&&e.size<(i?o:n))return void(r.numPoints+=e.length/3);const s=[];for(let t=0;t<e.length;t+=3)(0===n||e[t+2]>o)&&(r.numSimplified++,s.push(e[t],e[t+1])),r.numPoints++;i&&function(t,e){let r=0;for(let e=0,n=t.length,i=n-2;e<n;i=e,e+=2)r+=(t[e]-t[i])*(t[e+1]+t[i+1]);if(r>0===e)for(let e=0,r=t.length;e<r/2;e+=2){const n=t[e],i=t[e+1];t[e]=t[r-2-e],t[e+1]=t[r-1-e],t[r-2-e]=n,t[r-1-e]=i}}(s,a),t.push(s)}const mt={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0};class gt{constructor(t,e){const r=(e=this.options=function(t,e){for(const r in e)t[r]=e[r];return t}(Object.create(mt),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)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.\");let n=function(t,e){const r=[];if(\"FeatureCollection\"===t.type)for(let n=0;n<t.features.length;n++)Y(r,t.features[n],e,n);else\"Feature\"===t.type?Y(r,t,e):Y(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),n=function(t,e){const r=e.buffer/e.extent;let n=t;const i=tt(t,1,-1-r,r,0,-1,2,e),a=tt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=tt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=lt(i,1).concat(n)),a&&(n=n.concat(lt(a,-1)))),n}(n,e),n.length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}splitTile(t,e,r,n,i,a,o){const s=[t,e,r,n],l=this.options,c=l.debug;for(;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();const u=1<<e,h=yt(e,r,n);let f=this.tiles[h];if(!f&&(c>1&&console.time(\"creation\"),f=this.tiles[h]=ft(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,f.numFeatures,f.numPoints,f.numSimplified),console.timeEnd(\"creation\"));const t=`z${e}`;this.stats[t]=(this.stats[t]||0)+1,this.total++}if(f.source=t,null==i){if(e===l.indexMaxZoom||f.numPoints<=l.indexMaxPoints)continue}else{if(e===l.maxZoom||e===i)continue;if(null!=i){const t=i-e;if(r!==a>>t||n!==o>>t)continue}}if(f.source=null,0===t.length)continue;c>1&&console.time(\"clipping\");const p=.5*l.buffer/l.extent,d=.5-p,m=.5+p,g=1+p;let y=null,v=null,x=null,_=null,b=tt(t,u,r-p,r+m,0,f.minX,f.maxX,l),w=tt(t,u,r+d,r+g,0,f.minX,f.maxX,l);t=null,b&&(y=tt(b,u,n-p,n+m,1,f.minY,f.maxY,l),v=tt(b,u,n+d,n+g,1,f.minY,f.maxY,l),b=null),w&&(x=tt(w,u,n-p,n+m,1,f.minY,f.maxY,l),_=tt(w,u,n+d,n+g,1,f.minY,f.maxY,l),w=null),c>1&&console.timeEnd(\"clipping\"),s.push(y||[],e+1,2*r,2*n),s.push(v||[],e+1,2*r,2*n+1),s.push(x||[],e+1,2*r+1,2*n),s.push(_||[],e+1,2*r+1,2*n+1)}}getTile(t,e,r){t=+t,e=+e,r=+r;const n=this.options,{extent:i,debug:a}=n;if(t<0||t>24)return null;const o=1<<t,s=yt(t,e=e+o&o-1,r);if(this.tiles[s])return ut(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);let l,c=t,u=e,h=r;for(;!l&&c>0;)c--,u>>=1,h>>=1,l=this.tiles[yt(c,u,h)];return l&&l.source?(a>1&&(console.log(\"found parent tile z%d-%d-%d\",c,u,h),console.time(\"drilling down\")),this.splitTile(l.source,c,u,h,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?ut(this.tiles[s],i):null):null}}function yt(t,e,r){return 32*((1<<t)*r+e)+t}function vt(t,e){return e?t.properties[e]:t.id}function xt(t,e){if(null==t)return!0;if(\"Feature\"===t.type)return null!=vt(t,e);if(\"FeatureCollection\"===t.type){const r=new Set;for(const n of t.features){const t=vt(n,e);if(null==t)return!1;if(r.has(t))return!1;r.add(t)}return!0}return!1}function _t(t,e){const r=new Map;if(null==t);else if(\"Feature\"===t.type)r.set(vt(t,e),t);else for(const n of t.features)r.set(vt(n,e),n);return r}class bt extends a{constructor(){super(...arguments),this._dataUpdateable=new Map}loadVectorTile(e,r){return t._(this,void 0,void 0,(function*(){const t=e.tileID.canonical;if(!this._geoJSONIndex)throw new Error(\"Unable to parse the data into a cluster or geojson\");const r=this._geoJSONIndex.getTile(t.z,t.x,t.y);if(!r)return null;const n=new p(r.features);let i=I(n);return 0===i.byteOffset&&i.byteLength===i.buffer.byteLength||(i=new Uint8Array(i)),{vectorTile:n,rawData:i.buffer}}))}loadData(e){return t._(this,void 0,void 0,(function*(){var r;null===(r=this._pendingRequest)||void 0===r||r.abort();const n=!!(e&&e.request&&e.request.collectResourceTiming)&&new t.bu(e.request);this._pendingRequest=new AbortController;try{this._pendingData=this.loadAndProcessGeoJSON(e,this._pendingRequest),this._geoJSONIndex=e.cluster?new B(function({superclusterOptions:e,clusterProperties:r}){if(!r||!e)return e;const n={},i={},a={accumulated:null,zoom:0},o={properties:null},s=Object.keys(r);for(const e of s){const[a,o]=r[e],s=t.bB(o),l=t.bB(\"string\"==typeof a?[a,[\"accumulated\"],[\"get\",e]]:a);n[e]=s.value,i[e]=l.value}return e.map=t=>{o.properties=t;const e={};for(const t of s)e[t]=n[t].evaluate(a,o);return e},e.reduce=(t,e)=>{o.properties=e;for(const e of s)a.accumulated=t[e],t[e]=i[e].evaluate(a,o)},e}(e)).load((yield this._pendingData).features):(i=yield this._pendingData,a=e.geojsonVtOptions,new gt(i,a)),this.loaded={};const r={};if(n){const t=n.finish();t&&(r.resourceTiming={},r.resourceTiming[e.source]=JSON.parse(JSON.stringify(t)))}return r}catch(e){if(delete this._pendingRequest,t.bA(e))return{abandoned:!0};throw e}var i,a}))}getData(){return t._(this,void 0,void 0,(function*(){return this._pendingData}))}reloadTile(t){const e=this.loaded,r=t.uid;return e&&e[r]?super.reloadTile(t):this.loadTile(t)}loadAndProcessGeoJSON(e,r){return t._(this,void 0,void 0,(function*(){let n=yield this.loadGeoJSON(e,r);if(delete this._pendingRequest,\"object\"!=typeof n)throw new Error(`Input data given to '${e.source}' is not a valid GeoJSON object.`);if(u(n,!0),e.filter){const r=t.bB(e.filter,{type:\"boolean\",\"property-type\":\"data-driven\",overridable:!1,transition:!1});if(\"error\"===r.result)throw new Error(r.value.map((t=>`${t.key}: ${t.message}`)).join(\", \"));const i=n.features.filter((t=>r.value.evaluate({zoom:0},t)));n={type:\"FeatureCollection\",features:i}}return n}))}loadGeoJSON(e,r){return t._(this,void 0,void 0,(function*(){const{promoteId:n}=e;if(e.request){const i=yield t.h(e.request,r);return this._dataUpdateable=xt(i.data,n)?_t(i.data,n):void 0,i.data}if(\"string\"==typeof e.data)try{const t=JSON.parse(e.data);return this._dataUpdateable=xt(t,n)?_t(t,n):void 0,t}catch(t){throw new Error(`Input data given to '${e.source}' is not a valid GeoJSON object.`)}if(!e.dataDiff)throw new Error(`Input data given to '${e.source}' is not a valid GeoJSON object.`);if(!this._dataUpdateable)throw new Error(`Cannot update existing geojson data in ${e.source}`);return function(t,e,r){var n,i,a,o;if(e.removeAll&&t.clear(),e.remove)for(const r of e.remove)t.delete(r);if(e.add)for(const n of e.add){const e=vt(n,r);null!=e&&t.set(e,n)}if(e.update)for(const r of e.update){let e=t.get(r.id);if(null==e)continue;const s=r.newGeometry||r.removeAllProperties,l=!r.removeAllProperties&&((null===(n=r.removeProperties)||void 0===n?void 0:n.length)>0||(null===(i=r.addOrUpdateProperties)||void 0===i?void 0:i.length)>0);if((s||l)&&(e=Object.assign({},e),t.set(r.id,e),l&&(e.properties=Object.assign({},e.properties))),r.newGeometry&&(e.geometry=r.newGeometry),r.removeAllProperties)e.properties={};else if((null===(a=r.removeProperties)||void 0===a?void 0:a.length)>0)for(const t of r.removeProperties)Object.prototype.hasOwnProperty.call(e.properties,t)&&delete e.properties[t];if((null===(o=r.addOrUpdateProperties)||void 0===o?void 0:o.length)>0)for(const{key:t,value:n}of r.addOrUpdateProperties)e.properties[t]=n}}(this._dataUpdateable,e.dataDiff,n),{type:\"FeatureCollection\",features:Array.from(this._dataUpdateable.values())}}))}removeSource(e){return t._(this,void 0,void 0,(function*(){this._pendingRequest&&this._pendingRequest.abort()}))}getClusterExpansionZoom(t){return this._geoJSONIndex.getClusterExpansionZoom(t.clusterId)}getClusterChildren(t){return this._geoJSONIndex.getChildren(t.clusterId)}getClusterLeaves(t){return this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset)}}class wt{constructor(e){this.self=e,this.actor=new t.F(e),this.layerIndexes={},this.availableImages={},this.workerSources={},this.demWorkerSources={},this.externalWorkerSourceTypes={},this.self.registerWorkerSource=(t,e)=>{if(this.externalWorkerSourceTypes[t])throw new Error(`Worker source with name \"${t}\" already registered.`);this.externalWorkerSourceTypes[t]=e},this.self.addProtocol=t.bh,this.self.removeProtocol=t.bi,this.self.registerRTLTextPlugin=e=>{if(t.bC.isParsed())throw new Error(\"RTL text plugin already registered.\");t.bC.setMethods(e)},this.actor.registerMessageHandler(\"LDT\",((t,e)=>this._getDEMWorkerSource(t,e.source).loadTile(e))),this.actor.registerMessageHandler(\"RDT\",((e,r)=>t._(this,void 0,void 0,(function*(){this._getDEMWorkerSource(e,r.source).removeTile(r)})))),this.actor.registerMessageHandler(\"GCEZ\",((e,r)=>t._(this,void 0,void 0,(function*(){return this._getWorkerSource(e,r.type,r.source).getClusterExpansionZoom(r)})))),this.actor.registerMessageHandler(\"GCC\",((e,r)=>t._(this,void 0,void 0,(function*(){return this._getWorkerSource(e,r.type,r.source).getClusterChildren(r)})))),this.actor.registerMessageHandler(\"GCL\",((e,r)=>t._(this,void 0,void 0,(function*(){return this._getWorkerSource(e,r.type,r.source).getClusterLeaves(r)})))),this.actor.registerMessageHandler(\"LD\",((t,e)=>this._getWorkerSource(t,e.type,e.source).loadData(e))),this.actor.registerMessageHandler(\"GD\",((t,e)=>this._getWorkerSource(t,e.type,e.source).getData())),this.actor.registerMessageHandler(\"LT\",((t,e)=>this._getWorkerSource(t,e.type,e.source).loadTile(e))),this.actor.registerMessageHandler(\"RT\",((t,e)=>this._getWorkerSource(t,e.type,e.source).reloadTile(e))),this.actor.registerMessageHandler(\"AT\",((t,e)=>this._getWorkerSource(t,e.type,e.source).abortTile(e))),this.actor.registerMessageHandler(\"RMT\",((t,e)=>this._getWorkerSource(t,e.type,e.source).removeTile(e))),this.actor.registerMessageHandler(\"RS\",((e,r)=>t._(this,void 0,void 0,(function*(){if(!this.workerSources[e]||!this.workerSources[e][r.type]||!this.workerSources[e][r.type][r.source])return;const t=this.workerSources[e][r.type][r.source];delete this.workerSources[e][r.type][r.source],void 0!==t.removeSource&&t.removeSource(r)})))),this.actor.registerMessageHandler(\"RM\",(e=>t._(this,void 0,void 0,(function*(){delete this.layerIndexes[e],delete this.availableImages[e],delete this.workerSources[e],delete this.demWorkerSources[e]})))),this.actor.registerMessageHandler(\"SR\",((e,r)=>t._(this,void 0,void 0,(function*(){this.referrer=r})))),this.actor.registerMessageHandler(\"SRPS\",((t,e)=>this._syncRTLPluginState(t,e))),this.actor.registerMessageHandler(\"IS\",((e,r)=>t._(this,void 0,void 0,(function*(){this.self.importScripts(r)})))),this.actor.registerMessageHandler(\"SI\",((t,e)=>this._setImages(t,e))),this.actor.registerMessageHandler(\"UL\",((e,r)=>t._(this,void 0,void 0,(function*(){this._getLayerIndex(e).update(r.layers,r.removedIds)})))),this.actor.registerMessageHandler(\"SL\",((e,r)=>t._(this,void 0,void 0,(function*(){this._getLayerIndex(e).replace(r)}))))}_setImages(e,r){return t._(this,void 0,void 0,(function*(){this.availableImages[e]=r;for(const t in this.workerSources[e]){const n=this.workerSources[e][t];for(const t in n)n[t].availableImages=r}}))}_syncRTLPluginState(e,r){return t._(this,void 0,void 0,(function*(){if(t.bC.isParsed())return t.bC.getState();if(\"loading\"!==r.pluginStatus)return t.bC.setState(r),r;const e=r.pluginURL;if(this.self.importScripts(e),t.bC.isParsed()){const r={pluginStatus:\"loaded\",pluginURL:e};return t.bC.setState(r),r}throw t.bC.setState({pluginStatus:\"error\",pluginURL:\"\"}),new Error(`RTL Text Plugin failed to import scripts from ${e}`)}))}_getAvailableImages(t){let e=this.availableImages[t];return e||(e=[]),e}_getLayerIndex(t){let r=this.layerIndexes[t];return r||(r=this.layerIndexes[t]=new e),r}_getWorkerSource(t,e,r){if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){const n={sendAsync:(e,r)=>(e.targetMapId=t,this.actor.sendAsync(e,r))};switch(e){case\"vector\":this.workerSources[t][e][r]=new a(n,this._getLayerIndex(t),this._getAvailableImages(t));break;case\"geojson\":this.workerSources[t][e][r]=new bt(n,this._getLayerIndex(t),this._getAvailableImages(t));break;default:this.workerSources[t][e][r]=new this.externalWorkerSourceTypes[e](n,this._getLayerIndex(t),this._getAvailableImages(t))}}return this.workerSources[t][e][r]}_getDEMWorkerSource(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new o),this.demWorkerSources[t][e]}}return t.i(self)&&(self.worker=new wt(self)),wt})),r(\"index\",0,(function(t,e){var r=\"4.5.2\";let n,i;const a={now:\"undefined\"!=typeof performance&&performance&&performance.now?performance.now.bind(performance):Date.now.bind(Date),frameAsync(t){return new Promise(((r,n)=>{const i=requestAnimationFrame(r);t.signal.addEventListener(\"abort\",(()=>{cancelAnimationFrame(i),n(e.c())}))}))},getImageData(t,e=0){return this.getImageCanvasContext(t).getImageData(-e,-e,t.width+2*e,t.height+2*e)},getImageCanvasContext(t){const e=window.document.createElement(\"canvas\"),r=e.getContext(\"2d\",{willReadFrequently:!0});if(!r)throw new Error(\"failed to create canvas 2d context\");return e.width=t.width,e.height=t.height,r.drawImage(t,0,0,t.width,t.height),r},resolveURL(t){return n||(n=document.createElement(\"a\")),n.href=t,n.href},hardwareConcurrency:\"undefined\"!=typeof navigator&&navigator.hardwareConcurrency||4,get prefersReducedMotion(){return!!matchMedia&&(null==i&&(i=matchMedia(\"(prefers-reduced-motion: reduce)\")),i.matches)}};class o{static testProp(t){if(!o.docStyle)return t[0];for(let e=0;e<t.length;e++)if(t[e]in o.docStyle)return t[e];return t[0]}static create(t,e,r){const n=window.document.createElement(t);return void 0!==e&&(n.className=e),r&&r.appendChild(n),n}static createNS(t,e){return window.document.createElementNS(t,e)}static disableDrag(){o.docStyle&&o.selectProp&&(o.userSelect=o.docStyle[o.selectProp],o.docStyle[o.selectProp]=\"none\")}static enableDrag(){o.docStyle&&o.selectProp&&(o.docStyle[o.selectProp]=o.userSelect)}static setTransform(t,e){t.style[o.transformProp]=e}static addEventListener(t,e,r,n={}){\"passive\"in n?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)}static removeEventListener(t,e,r,n={}){\"passive\"in n?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)}static suppressClickInternal(t){t.preventDefault(),t.stopPropagation(),window.removeEventListener(\"click\",o.suppressClickInternal,!0)}static suppressClick(){window.addEventListener(\"click\",o.suppressClickInternal,!0),window.setTimeout((()=>{window.removeEventListener(\"click\",o.suppressClickInternal,!0)}),0)}static getScale(t){const e=t.getBoundingClientRect();return{x:e.width/t.offsetWidth||1,y:e.height/t.offsetHeight||1,boundingClientRect:e}}static getPoint(t,r,n){const i=r.boundingClientRect;return new e.P((n.clientX-i.left)/r.x-t.clientLeft,(n.clientY-i.top)/r.y-t.clientTop)}static mousePos(t,e){const r=o.getScale(t);return o.getPoint(t,r,e)}static touchPos(t,e){const r=[],n=o.getScale(t);for(let i=0;i<e.length;i++)r.push(o.getPoint(t,n,e[i]));return r}static mouseButton(t){return t.button}static remove(t){t.parentNode&&t.parentNode.removeChild(t)}}o.docStyle=\"undefined\"!=typeof window&&window.document&&window.document.documentElement.style,o.selectProp=o.testProp([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]),o.transformProp=o.testProp([\"transform\",\"WebkitTransform\"]);const s={supported:!1,testSupport:function(t){!u&&c&&(h?f(t):l=t)}};let l,c,u=!1,h=!1;function f(t){const e=t.createTexture();t.bindTexture(t.TEXTURE_2D,e);try{if(t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,c),t.isContextLost())return;s.supported=!0}catch(t){}t.deleteTexture(e),u=!0}var p;\"undefined\"!=typeof document&&(c=document.createElement(\"img\"),c.onload=()=>{l&&f(l),l=null,h=!0},c.onerror=()=>{u=!0,l=null},c.src=\"data:image/webp;base64,UklGRh4AAABXRUJQVlA4TBEAAAAvAQAAAAfQ//73v/+BiOh/AAA=\"),function(t){let r,n,i,a;t.resetRequestQueue=()=>{r=[],n=0,i=0,a={}},t.addThrottleControl=t=>{const e=i++;return a[e]=t,e},t.removeThrottleControl=t=>{delete a[t],l()};t.getImage=(t,n,i=!0)=>new Promise(((a,o)=>{s.supported&&(t.headers||(t.headers={}),t.headers.accept=\"image/webp,*/*\"),e.e(t,{type:\"image\"});const c={abortController:n,requestParameters:t,supportImageRefresh:i,state:\"queued\",onError:t=>{o(t)},onSuccess:t=>{a(t)}};r.push(c),l()}));const o=t=>e._(this,void 0,void 0,(function*(){t.state=\"running\";const{requestParameters:r,supportImageRefresh:i,onError:a,onSuccess:o,abortController:s}=t,u=!1===i&&!e.i(self)&&!e.g(r.url)&&(!r.headers||Object.keys(r.headers).reduce(((t,e)=>t&&\"accept\"===e),!0));n++;const h=u?c(r,s):e.m(r,s);try{const r=yield h;delete t.abortController,t.state=\"completed\",r.data instanceof HTMLImageElement||e.b(r.data)?o(r):r.data&&o({data:yield(f=r.data,\"function\"==typeof createImageBitmap?e.d(f):e.f(f)),cacheControl:r.cacheControl,expires:r.expires})}catch(e){delete t.abortController,a(e)}finally{n--,l()}var f})),l=()=>{const t=(()=>{for(const t of Object.keys(a))if(a[t]())return!0;return!1})()?e.a.MAX_PARALLEL_IMAGE_REQUESTS_PER_FRAME:e.a.MAX_PARALLEL_IMAGE_REQUESTS;for(let e=n;e<t&&r.length>0;e++){const t=r.shift();t.abortController.signal.aborted?e--:o(t)}},c=(t,r)=>new Promise(((n,i)=>{const a=new Image,o=t.url,s=t.credentials;s&&\"include\"===s?a.crossOrigin=\"use-credentials\":(s&&\"same-origin\"===s||!e.s(o))&&(a.crossOrigin=\"anonymous\"),r.signal.addEventListener(\"abort\",(()=>{a.src=\"\",i(e.c())})),a.fetchPriority=\"high\",a.onload=()=>{a.onerror=a.onload=null,n({data:a})},a.onerror=()=>{a.onerror=a.onload=null,r.signal.aborted||i(new Error(\"Could not load image. Please make sure to use a supported image type such as PNG or JPEG. Note that SVGs are not supported.\"))},a.src=o}))}(p||(p={})),p.resetRequestQueue();class d{constructor(t){this._transformRequestFn=t}transformRequest(t,e){return this._transformRequestFn&&this._transformRequestFn(t,e)||{url:t}}setTransformRequest(t){this._transformRequestFn=t}}function m(t){var r=new e.A(3);return r[0]=t[0],r[1]=t[1],r[2]=t[2],r}var g,y=function(t,e,r){return t[0]=e[0]-r[0],t[1]=e[1]-r[1],t[2]=e[2]-r[2],t};g=new e.A(3),e.A!=Float32Array&&(g[0]=0,g[1]=0,g[2]=0);var v=function(t){var e=t[0],r=t[1];return e*e+r*r};function x(t){const e=[];if(\"string\"==typeof t)e.push({id:\"default\",url:t});else if(t&&t.length>0){const r=[];for(const{id:n,url:i}of t){const t=`${n}${i}`;-1===r.indexOf(t)&&(r.push(t),e.push({id:n,url:i}))}}return e}function _(t,e,r){const n=t.split(\"?\");return n[0]+=`${e}${r}`,n.join(\"?\")}function b(t,r,n,i){return e._(this,void 0,void 0,(function*(){const o=x(t),s=n>1?\"@2x\":\"\",l={},c={};for(const{id:t,url:n}of o){const a=r.transformRequest(_(n,s,\".json\"),\"SpriteJSON\");l[t]=e.h(a,i);const o=r.transformRequest(_(n,s,\".png\"),\"SpriteImage\");c[t]=p.getImage(o,i)}return yield Promise.all([...Object.values(l),...Object.values(c)]),function(t,r){return e._(this,void 0,void 0,(function*(){const e={};for(const n in t){e[n]={};const i=a.getImageCanvasContext((yield r[n]).data),o=(yield t[n]).data;for(const t in o){const{width:r,height:a,x:s,y:l,sdf:c,pixelRatio:u,stretchX:h,stretchY:f,content:p,textFitWidth:d,textFitHeight:m}=o[t],g={width:r,height:a,x:s,y:l,context:i};e[n][t]={data:null,pixelRatio:u,sdf:c,stretchX:h,stretchY:f,content:p,textFitWidth:d,textFitHeight:m,spriteData:g}}}return e}))}(l,c)}))}!function(){var t=new e.A(2);e.A!=Float32Array&&(t[0]=0,t[1]=0)}();class w{constructor(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)}update(t,r,n){const{width:i,height:a}=t,o=!(this.size&&this.size[0]===i&&this.size[1]===a||n),{context:s}=this,{gl:l}=s;if(this.useMipmap=Boolean(r&&r.useMipmap),l.bindTexture(l.TEXTURE_2D,this.texture),s.pixelStoreUnpackFlipY.set(!1),s.pixelStoreUnpack.set(1),s.pixelStoreUnpackPremultiplyAlpha.set(this.format===l.RGBA&&(!r||!1!==r.premultiply)),o)this.size=[i,a],t instanceof HTMLImageElement||t instanceof HTMLCanvasElement||t instanceof HTMLVideoElement||t instanceof ImageData||e.b(t)?l.texImage2D(l.TEXTURE_2D,0,this.format,this.format,l.UNSIGNED_BYTE,t):l.texImage2D(l.TEXTURE_2D,0,this.format,i,a,0,this.format,l.UNSIGNED_BYTE,t.data);else{const{x:r,y:o}=n||{x:0,y:0};t instanceof HTMLImageElement||t instanceof HTMLCanvasElement||t instanceof HTMLVideoElement||t instanceof ImageData||e.b(t)?l.texSubImage2D(l.TEXTURE_2D,0,r,o,l.RGBA,l.UNSIGNED_BYTE,t):l.texSubImage2D(l.TEXTURE_2D,0,r,o,i,a,l.RGBA,l.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&l.generateMipmap(l.TEXTURE_2D)}bind(t,e,r){const{context:n}=this,{gl:i}=n;i.bindTexture(i.TEXTURE_2D,this.texture),r!==i.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=i.LINEAR),t!==this.filter&&(i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MAG_FILTER,t),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_S,e),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_T,e),this.wrap=e)}isSizePowerOfTwo(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0}destroy(){const{gl:t}=this.context;t.deleteTexture(this.texture),this.texture=null}}function T(t){const{userImage:e}=t;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}class k extends e.E{constructor(){super(),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new e.R({width:1,height:1}),this.dirty=!0}isLoaded(){return this.loaded}setLoaded(t){if(this.loaded!==t&&(this.loaded=t,t)){for(const{ids:t,promiseResolve:e}of this.requestors)e(this._getImagesForIds(t));this.requestors=[]}}getImage(t){const r=this.images[t];if(r&&!r.data&&r.spriteData){const t=r.spriteData;r.data=new e.R({width:t.width,height:t.height},t.context.getImageData(t.x,t.y,t.width,t.height).data),r.spriteData=null}return r}addImage(t,e){if(this.images[t])throw new Error(`Image id ${t} already exist, use updateImage instead`);this._validate(t,e)&&(this.images[t]=e)}_validate(t,r){let n=!0;const i=r.data||r.spriteData;return this._validateStretch(r.stretchX,i&&i.width)||(this.fire(new e.j(new Error(`Image \"${t}\" has invalid \"stretchX\" value`))),n=!1),this._validateStretch(r.stretchY,i&&i.height)||(this.fire(new e.j(new Error(`Image \"${t}\" has invalid \"stretchY\" value`))),n=!1),this._validateContent(r.content,r)||(this.fire(new e.j(new Error(`Image \"${t}\" has invalid \"content\" value`))),n=!1),n}_validateStretch(t,e){if(!t)return!0;let r=0;for(const n of t){if(n[0]<r||n[1]<n[0]||e<n[1])return!1;r=n[1]}return!0}_validateContent(t,e){if(!t)return!0;if(4!==t.length)return!1;const r=e.spriteData,n=r&&r.width||e.data.width,i=r&&r.height||e.data.height;return!(t[0]<0||n<t[0]||t[1]<0||i<t[1]||t[2]<0||n<t[2]||t[3]<0||i<t[3]||t[2]<t[0]||t[3]<t[1])}updateImage(t,e,r=!0){const n=this.getImage(t);if(r&&(n.data.width!==e.data.width||n.data.height!==e.data.height))throw new Error(`size mismatch between old image (${n.data.width}x${n.data.height}) and new image (${e.data.width}x${e.data.height}).`);e.version=n.version+1,this.images[t]=e,this.updatedImages[t]=!0}removeImage(t){const e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()}listImages(){return Object.keys(this.images)}getImages(t){return new Promise(((e,r)=>{let n=!0;if(!this.isLoaded())for(const e of t)this.images[e]||(n=!1);this.isLoaded()||n?e(this._getImagesForIds(t)):this.requestors.push({ids:t,promiseResolve:e})}))}_getImagesForIds(t){const r={};for(const n of t){let t=this.getImage(n);t||(this.fire(new e.k(\"styleimagemissing\",{id:n})),t=this.getImage(n)),t?r[n]={data:t.data.clone(),pixelRatio:t.pixelRatio,sdf:t.sdf,version:t.version,stretchX:t.stretchX,stretchY:t.stretchY,content:t.content,textFitWidth:t.textFitWidth,textFitHeight:t.textFitHeight,hasRenderCallback:Boolean(t.userImage&&t.userImage.render)}:e.w(`Image \"${n}\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.`)}return r}getPixelSize(){const{width:t,height:e}=this.atlasImage;return{width:t,height:e}}getPattern(t){const r=this.patterns[t],n=this.getImage(t);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{const r={w:n.data.width+2,h:n.data.height+2,x:0,y:0},i=new e.I(r,n);this.patterns[t]={bin:r,position:i}}return this._updatePatternAtlas(),this.patterns[t].position}bind(t){const e=t.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new w(t,this.atlasImage,e.RGBA),this.atlasTexture.bind(e.LINEAR,e.CLAMP_TO_EDGE)}_updatePatternAtlas(){const t=[];for(const e in this.patterns)t.push(this.patterns[e].bin);const{w:r,h:n}=e.p(t),i=this.atlasImage;i.resize({width:r||1,height:n||1});for(const t in this.patterns){const{bin:r}=this.patterns[t],n=r.x+1,a=r.y+1,o=this.getImage(t).data,s=o.width,l=o.height;e.R.copy(o,i,{x:0,y:0},{x:n,y:a},{width:s,height:l}),e.R.copy(o,i,{x:0,y:l-1},{x:n,y:a-1},{width:s,height:1}),e.R.copy(o,i,{x:0,y:0},{x:n,y:a+l},{width:s,height:1}),e.R.copy(o,i,{x:s-1,y:0},{x:n-1,y:a},{width:1,height:l}),e.R.copy(o,i,{x:0,y:0},{x:n+s,y:a},{width:1,height:l})}this.dirty=!0}beginFrame(){this.callbackDispatchedThisFrame={}}dispatchRenderCallbacks(t){for(const r of t){if(this.callbackDispatchedThisFrame[r])continue;this.callbackDispatchedThisFrame[r]=!0;const t=this.getImage(r);t||e.w(`Image with ID: \"${r}\" was not found`),T(t)&&this.updateImage(r,t)}}}const A=1e20;function M(t,e,r,n,i,a,o,s,l){for(let c=e;c<e+n;c++)S(t,r*a+c,a,i,o,s,l);for(let c=r;c<r+i;c++)S(t,c*a+e,1,n,o,s,l)}function S(t,e,r,n,i,a,o){a[0]=0,o[0]=-A,o[1]=A,i[0]=t[e];for(let s=1,l=0,c=0;s<n;s++){i[s]=t[e+s*r];const n=s*s;do{const t=a[l];c=(i[s]-i[t]+n-t*t)/(s-t)/2}while(c<=o[l]&&--l>-1);l++,a[l]=s,o[l]=c,o[l+1]=A}for(let s=0,l=0;s<n;s++){for(;o[l+1]<s;)l++;const n=a[l],c=s-n;t[e+s*r]=i[n]+c*c}}class E{constructor(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}}setURL(t){this.url=t}getGlyphs(t){return e._(this,void 0,void 0,(function*(){const e=[];for(const r in t)for(const n of t[r])e.push(this._getAndCacheGlyphsPromise(r,n));const r=yield Promise.all(e),n={};for(const{stack:t,id:e,glyph:i}of r)n[t]||(n[t]={}),n[t][e]=i&&{id:i.id,bitmap:i.bitmap.clone(),metrics:i.metrics};return n}))}_getAndCacheGlyphsPromise(t,r){return e._(this,void 0,void 0,(function*(){let e=this.entries[t];e||(e=this.entries[t]={glyphs:{},requests:{},ranges:{}});let n=e.glyphs[r];if(void 0!==n)return{stack:t,id:r,glyph:n};if(n=this._tinySDF(e,t,r),n)return e.glyphs[r]=n,{stack:t,id:r,glyph:n};const i=Math.floor(r/256);if(256*i>65535)throw new Error(\"glyphs > 65535 not supported\");if(e.ranges[i])return{stack:t,id:r,glyph:n};if(!this.url)throw new Error(\"glyphsUrl is not set\");if(!e.requests[i]){const r=E.loadGlyphRange(t,i,this.url,this.requestManager);e.requests[i]=r}const a=yield e.requests[i];for(const t in a)this._doesCharSupportLocalGlyph(+t)||(e.glyphs[+t]=a[+t]);return e.ranges[i]=!0,{stack:t,id:r,glyph:a[r]||null}}))}_doesCharSupportLocalGlyph(t){return!!this.localIdeographFontFamily&&(e.u[\"CJK Unified Ideographs\"](t)||e.u[\"Hangul Syllables\"](t)||e.u.Hiragana(t)||e.u.Katakana(t))}_tinySDF(t,r,n){const i=this.localIdeographFontFamily;if(!i)return;if(!this._doesCharSupportLocalGlyph(n))return;let a=t.tinySDF;if(!a){let e=\"400\";/bold/i.test(r)?e=\"900\":/medium/i.test(r)?e=\"500\":/light/i.test(r)&&(e=\"200\"),a=t.tinySDF=new E.TinySDF({fontSize:48,buffer:6,radius:16,cutoff:.25,fontFamily:i,fontWeight:e})}const o=a.draw(String.fromCharCode(n));return{id:n,bitmap:new e.o({width:o.width||60,height:o.height||60},o.data),metrics:{width:o.glyphWidth/2||24,height:o.glyphHeight/2||24,left:o.glyphLeft/2+.5||0,top:o.glyphTop/2-27.5||-8,advance:o.glyphAdvance/2||24,isDoubleResolution:!0}}}}E.loadGlyphRange=function(t,r,n,i){return e._(this,void 0,void 0,(function*(){const a=256*r,o=a+255,s=i.transformRequest(n.replace(\"{fontstack}\",t).replace(\"{range}\",`${a}-${o}`),\"Glyphs\"),l=yield e.l(s,new AbortController);if(!l||!l.data)throw new Error(`Could not load glyph range. range: ${r}, ${a}-${o}`);const c={};for(const t of e.n(l.data))c[t.id]=t;return c}))},E.TinySDF=class{constructor({fontSize:t=24,buffer:e=3,radius:r=8,cutoff:n=.25,fontFamily:i=\"sans-serif\",fontWeight:a=\"normal\",fontStyle:o=\"normal\"}={}){this.buffer=e,this.cutoff=n,this.radius=r;const s=this.size=t+4*e,l=this._createCanvas(s),c=this.ctx=l.getContext(\"2d\",{willReadFrequently:!0});c.font=`${o} ${a} ${t}px ${i}`,c.textBaseline=\"alphabetic\",c.textAlign=\"left\",c.fillStyle=\"black\",this.gridOuter=new Float64Array(s*s),this.gridInner=new Float64Array(s*s),this.f=new Float64Array(s),this.z=new Float64Array(s+1),this.v=new Uint16Array(s)}_createCanvas(t){const e=document.createElement(\"canvas\");return e.width=e.height=t,e}draw(t){const{width:e,actualBoundingBoxAscent:r,actualBoundingBoxDescent:n,actualBoundingBoxLeft:i,actualBoundingBoxRight:a}=this.ctx.measureText(t),o=Math.ceil(r),s=Math.max(0,Math.min(this.size-this.buffer,Math.ceil(a-i))),l=Math.min(this.size-this.buffer,o+Math.ceil(n)),c=s+2*this.buffer,u=l+2*this.buffer,h=Math.max(c*u,0),f=new Uint8ClampedArray(h),p={data:f,width:c,height:u,glyphWidth:s,glyphHeight:l,glyphTop:o,glyphLeft:0,glyphAdvance:e};if(0===s||0===l)return p;const{ctx:d,buffer:m,gridInner:g,gridOuter:y}=this;d.clearRect(m,m,s,l),d.fillText(t,m,m+o);const v=d.getImageData(m,m,s,l);y.fill(A,0,h),g.fill(0,0,h);for(let t=0;t<l;t++)for(let e=0;e<s;e++){const r=v.data[4*(t*s+e)+3]/255;if(0===r)continue;const n=(t+m)*c+e+m;if(1===r)y[n]=0,g[n]=A;else{const t=.5-r;y[n]=t>0?t*t:0,g[n]=t<0?t*t:0}}M(y,0,0,c,u,c,this.f,this.v,this.z),M(g,m,m,s,l,c,this.f,this.v,this.z);for(let t=0;t<h;t++){const e=Math.sqrt(y[t])-Math.sqrt(g[t]);f[t]=Math.round(255-255*(e/this.radius+this.cutoff))}return p}};class C{constructor(){this.specification=e.v.light.position}possiblyEvaluate(t,r){return e.y(t.expression.evaluate(r))}interpolate(t,r,n){return{x:e.z.number(t.x,r.x,n),y:e.z.number(t.y,r.y,n),z:e.z.number(t.z,r.z,n)}}}const L=\"-transition\";let I;class P extends e.E{constructor(t){super(),I=I||new e.q({anchor:new e.D(e.v.light.anchor),position:new C,color:new e.D(e.v.light.color),intensity:new e.D(e.v.light.intensity)}),this._transitionable=new e.T(I),this.setLight(t),this._transitioning=this._transitionable.untransitioned()}getLight(){return this._transitionable.serialize()}setLight(t,r={}){if(!this._validate(e.r,t,r))for(const e in t){const r=t[e];e.endsWith(L)?this._transitionable.setTransition(e.slice(0,-11),r):this._transitionable.setValue(e,r)}}updateTransitions(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)}hasTransition(){return this._transitioning.hasTransition()}recalculate(t){this.properties=this._transitioning.possiblyEvaluate(t)}_validate(t,r,n){return(!n||!1!==n.validate)&&e.t(this,t.call(e.x,{value:r,style:{glyphs:!0,sprite:!0},styleSpec:e.v}))}}const z=new e.q({\"sky-color\":new e.D(e.v.sky[\"sky-color\"]),\"horizon-color\":new e.D(e.v.sky[\"horizon-color\"]),\"fog-color\":new e.D(e.v.sky[\"fog-color\"]),\"fog-ground-blend\":new e.D(e.v.sky[\"fog-ground-blend\"]),\"horizon-fog-blend\":new e.D(e.v.sky[\"horizon-fog-blend\"]),\"sky-horizon-blend\":new e.D(e.v.sky[\"sky-horizon-blend\"]),\"atmosphere-blend\":new e.D(e.v.sky[\"atmosphere-blend\"])}),O=\"-transition\";class D extends e.E{constructor(t){super(),this._transitionable=new e.T(z),this.setSky(t),this._transitioning=this._transitionable.untransitioned()}setSky(t,r={}){if(!this._validate(e.B,t,r))for(const e in t){const r=t[e];e.endsWith(O)?this._transitionable.setTransition(e.slice(0,-11),r):this._transitionable.setValue(e,r)}}getSky(){return this._transitionable.serialize()}updateTransitions(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)}hasTransition(){return this._transitioning.hasTransition()}recalculate(t){this.properties=this._transitioning.possiblyEvaluate(t)}_validate(t,r,n={}){return!1!==(null==n?void 0:n.validate)&&e.t(this,t.call(e.x,e.e({value:r,style:{glyphs:!0,sprite:!0},styleSpec:e.v})))}calculateFogBlendOpacity(t){return t<60?0:t<70?(t-60)/10:1}}class R{constructor(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}}getDash(t,e){const r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]}getDashRanges(t,e,r){const n=[];let i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});let s=t[0];for(let e=1;e<t.length;e++){o=!o;const l=t[e];i=s*r,s+=l,a=s*r,n.push({left:i,right:a,isDash:o,zeroLength:0===l})}return n}addRoundDash(t,e,r){const n=e/2;for(let e=-r;e<=r;e++){const i=this.nextRow+r+e,a=this.width*i;let o=0,s=t[o];for(let i=0;i<this.width;i++){i/s.right>1&&(s=t[++o]);const l=Math.abs(i-s.left),c=Math.abs(i-s.right),u=Math.min(l,c);let h;const f=e/r*(n+1);if(s.isDash){const t=n-Math.abs(f);h=Math.sqrt(u*u+t*t)}else h=n-Math.sqrt(u*u+f*f);this.data[a+i]=Math.max(0,Math.min(255,h+128))}}}addRegularDash(t){for(let e=t.length-1;e>=0;--e){const 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))}const e=t[0],r=t[t.length-1];e.isDash===r.isDash&&(e.left=r.left-this.width,r.right=e.right+this.width);const n=this.width*this.nextRow;let i=0,a=t[i];for(let e=0;e<this.width;e++){e/a.right>1&&(a=t[++i]);const r=Math.abs(e-a.left),o=Math.abs(e-a.right),s=Math.min(r,o),l=a.isDash?s:-s;this.data[n+e]=Math.max(0,Math.min(255,l+128))}}addDash(t,r){const n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return e.w(\"LineAtlas out of space\"),null;let a=0;for(let e=0;e<t.length;e++)a+=t[e];if(0!==a){const e=this.width/a,i=this.getDashRanges(t,this.width,e);r?this.addRoundDash(i,e,n):this.addRegularDash(i)}const o={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,o}bind(t){const e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))}}const F=\"maplibre_preloaded_worker_pool\";class B{constructor(){this.active={}}acquire(t){if(!this.workers)for(this.workers=[];this.workers.length<B.workerCount;)this.workers.push(new Worker(e.a.WORKER_URL));return this.active[t]=!0,this.workers.slice()}release(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((t=>{t.terminate()})),this.workers=null)}isPreloaded(){return!!this.active[F]}numActive(){return Object.keys(this.active).length}}const N=Math.floor(a.hardwareConcurrency/2);let j,U;function V(){return j||(j=new B),j}B.workerCount=e.C(globalThis)?Math.max(Math.min(N,3),1):1;class q{constructor(t,r){this.workerPool=t,this.actors=[],this.currentActor=0,this.id=r;const n=this.workerPool.acquire(r);for(let t=0;t<n.length;t++){const i=n[t],a=new e.F(i,r);a.name=`Worker ${t}`,this.actors.push(a)}if(!this.actors.length)throw new Error(\"No actors found\")}broadcast(t,e){const r=[];for(const n of this.actors)r.push(n.sendAsync({type:t,data:e}));return Promise.all(r)}getActor(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]}remove(t=!0){this.actors.forEach((t=>{t.remove()})),this.actors=[],t&&this.workerPool.release(this.id)}registerMessageHandler(t,e){for(const r of this.actors)r.registerMessageHandler(t,e)}}function H(){return U||(U=new q(V(),e.G),U.registerMessageHandler(\"GR\",((t,r,n)=>e.m(r,n)))),U}function G(t,r){const n=e.H();return e.J(n,n,[1,1,0]),e.K(n,n,[.5*t.width,.5*t.height,1]),e.L(n,n,t.calculatePosMatrix(r.toUnwrapped()))}function Z(t,e,r,n,i,a){const o=function(t,e,r){if(t)for(const n of t){const t=e[n];if(t&&t.source===r&&\"fill-extrusion\"===t.type)return!0}else for(const t in e){const n=e[t];if(n.source===r&&\"fill-extrusion\"===n.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(W);const c=[];for(const n of l)c.push({wrappedTileID:n.tileID.wrapped().key,queryResults:n.tile.queryRenderedFeatures(e,r,t._state,n.queryGeometry,n.cameraQueryGeometry,n.scale,i,a,s,G(t.transform,n.tileID))});const u=function(t){const e={},r={};for(const n of t){const t=n.queryResults,i=n.wrappedTileID,a=r[i]=r[i]||{};for(const r in t){const n=t[r],i=a[r]=a[r]||{},o=e[r]=e[r]||[];for(const t of n)i[t.featureIndex]||(i[t.featureIndex]=!0,o.push(t))}}return e}(c);for(const e in u)u[e].forEach((e=>{const r=e.feature,n=t.getFeatureState(r.layer[\"source-layer\"],r.id);r.source=r.layer.source,r.layer[\"source-layer\"]&&(r.sourceLayer=r.layer[\"source-layer\"]),r.state=n}));return u}function W(t,e){const r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}function Y(t,r,n){return e._(this,void 0,void 0,(function*(){let i=t;if(t.url?i=(yield e.h(r.transformRequest(t.url,\"Source\"),n)).data:yield a.frameAsync(n),!i)return null;const o=e.M(e.e(i,t),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);return\"vector_layers\"in i&&i.vector_layers&&(o.vectorLayerIds=i.vector_layers.map((t=>t.id))),o}))}class X{constructor(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):Array.isArray(t)&&(4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1])))}setNorthEast(t){return this._ne=t instanceof e.N?new e.N(t.lng,t.lat):e.N.convert(t),this}setSouthWest(t){return this._sw=t instanceof e.N?new e.N(t.lng,t.lat):e.N.convert(t),this}extend(t){const r=this._sw,n=this._ne;let i,a;if(t instanceof e.N)i=t,a=t;else{if(!(t instanceof X)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){const e=t;return this.extend(X.convert(e))}{const r=t;return this.extend(e.N.convert(r))}}return t&&(\"lng\"in t||\"lon\"in t)&&\"lat\"in t?this.extend(e.N.convert(t)):this}if(i=t._sw,a=t._ne,!i||!a)return this}return r||n?(r.lng=Math.min(i.lng,r.lng),r.lat=Math.min(i.lat,r.lat),n.lng=Math.max(a.lng,n.lng),n.lat=Math.max(a.lat,n.lat)):(this._sw=new e.N(i.lng,i.lat),this._ne=new e.N(a.lng,a.lat)),this}getCenter(){return new e.N((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)}getSouthWest(){return this._sw}getNorthEast(){return this._ne}getNorthWest(){return new e.N(this.getWest(),this.getNorth())}getSouthEast(){return new e.N(this.getEast(),this.getSouth())}getWest(){return this._sw.lng}getSouth(){return this._sw.lat}getEast(){return this._ne.lng}getNorth(){return this._ne.lat}toArray(){return[this._sw.toArray(),this._ne.toArray()]}toString(){return`LngLatBounds(${this._sw.toString()}, ${this._ne.toString()})`}isEmpty(){return!(this._sw&&this._ne)}contains(t){const{lng:r,lat:n}=e.N.convert(t),i=this._sw.lat<=n&&n<=this._ne.lat;let 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}static convert(t){return t instanceof X?t:t?new X(t):t}static fromLngLat(t,r=0){const n=360*r/40075017,i=n/Math.cos(Math.PI/180*t.lat);return new X(new e.N(t.lng-i,t.lat-n),new e.N(t.lng+i,t.lat+n))}}class ${constructor(t,e,r){this.bounds=X.convert(this.validateBounds(t)),this.minzoom=e||0,this.maxzoom=r||24}validateBounds(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]}contains(t){const r=Math.pow(2,t.z),n=Math.floor(e.O(this.bounds.getWest())*r),i=Math.floor(e.Q(this.bounds.getNorth())*r),a=Math.ceil(e.O(this.bounds.getEast())*r),o=Math.ceil(e.Q(this.bounds.getSouth())*r);return t.x>=n&&t.x<a&&t.y>=i&&t.y<o}}class J extends e.E{constructor(t,r,n,i){if(super(),this.id=t,this.dispatcher=n,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,e.e(this,e.M(r,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=e.e({type:\"vector\"},r),this._collectResourceTiming=r.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(i)}load(){return e._(this,void 0,void 0,(function*(){this._loaded=!1,this.fire(new e.k(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=new AbortController;try{const t=yield Y(this._options,this.map._requestManager,this._tileJSONRequest);this._tileJSONRequest=null,this._loaded=!0,this.map.style.sourceCaches[this.id].clearTiles(),t&&(e.e(this,t),t.bounds&&(this.tileBounds=new $(t.bounds,this.minzoom,this.maxzoom)),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}catch(t){this._tileJSONRequest=null,this.fire(new e.j(t))}}))}loaded(){return this._loaded}hasTile(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)}onAdd(t){this.map=t,this.load()}setSourceProperty(t){this._tileJSONRequest&&this._tileJSONRequest.abort(),t(),this.load()}setTiles(t){return this.setSourceProperty((()=>{this._options.tiles=t})),this}setUrl(t){return this.setSourceProperty((()=>{this.url=t,this._options.url=t})),this}onRemove(){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null)}serialize(){return e.e({},this._options)}loadTile(t){return e._(this,void 0,void 0,(function*(){const e=t.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme),r={request:this.map._requestManager.transformRequest(e,\"Tile\"),uid:t.uid,tileID:t.tileID,zoom:t.tileID.overscaledZ,tileSize:this.tileSize*t.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:this.map.getPixelRatio(),showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};r.request.collectResourceTiming=this._collectResourceTiming;let n=\"RT\";if(t.actor&&\"expired\"!==t.state){if(\"loading\"===t.state)return new Promise(((e,r)=>{t.reloadPromise={resolve:e,reject:r}}))}else t.actor=this.dispatcher.getActor(),n=\"LT\";t.abortController=new AbortController;try{const e=yield t.actor.sendAsync({type:n,data:r},t.abortController);if(delete t.abortController,t.aborted)return;this._afterTileLoadWorkerResponse(t,e)}catch(e){if(delete t.abortController,t.aborted)return;if(e&&404!==e.status)throw e;this._afterTileLoadWorkerResponse(t,null)}}))}_afterTileLoadWorkerResponse(t,e){if(e&&e.resourceTiming&&(t.resourceTiming=e.resourceTiming),e&&this.map._refreshExpiredTiles&&t.setExpiryData(e),t.loadVectorData(e,this.map.painter),t.reloadPromise){const e=t.reloadPromise;t.reloadPromise=null,this.loadTile(t).then(e.resolve).catch(e.reject)}}abortTile(t){return e._(this,void 0,void 0,(function*(){t.abortController&&(t.abortController.abort(),delete t.abortController),t.actor&&(yield t.actor.sendAsync({type:\"AT\",data:{uid:t.uid,type:this.type,source:this.id}}))}))}unloadTile(t){return e._(this,void 0,void 0,(function*(){t.unloadVectorData(),t.actor&&(yield t.actor.sendAsync({type:\"RMT\",data:{uid:t.uid,type:this.type,source:this.id}}))}))}hasTransition(){return!1}}class K extends e.E{constructor(t,r,n,i){super(),this.id=t,this.dispatcher=n,this.setEventedParent(i),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=e.e({type:\"raster\"},r),e.e(this,e.M(r,[\"url\",\"scheme\",\"tileSize\"]))}load(){return e._(this,void 0,void 0,(function*(){this._loaded=!1,this.fire(new e.k(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=new AbortController;try{const t=yield Y(this._options,this.map._requestManager,this._tileJSONRequest);this._tileJSONRequest=null,this._loaded=!0,t&&(e.e(this,t),t.bounds&&(this.tileBounds=new $(t.bounds,this.minzoom,this.maxzoom)),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}catch(t){this._tileJSONRequest=null,this.fire(new e.j(t))}}))}loaded(){return this._loaded}onAdd(t){this.map=t,this.load()}onRemove(){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null)}setSourceProperty(t){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null),t(),this.load()}setTiles(t){return this.setSourceProperty((()=>{this._options.tiles=t})),this}setUrl(t){return this.setSourceProperty((()=>{this.url=t,this._options.url=t})),this}serialize(){return e.e({},this._options)}hasTile(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)}loadTile(t){return e._(this,void 0,void 0,(function*(){const e=t.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme);t.abortController=new AbortController;try{const r=yield p.getImage(this.map._requestManager.transformRequest(e,\"Tile\"),t.abortController,this.map._refreshExpiredTiles);if(delete t.abortController,t.aborted)return void(t.state=\"unloaded\");if(r&&r.data){this.map._refreshExpiredTiles&&r.cacheControl&&r.expires&&t.setExpiryData({cacheControl:r.cacheControl,expires:r.expires});const e=this.map.painter.context,n=e.gl,i=r.data;t.texture=this.map.painter.getTileTexture(i.width),t.texture?t.texture.update(i,{useMipmap:!0}):(t.texture=new w(e,i,n.RGBA,{useMipmap:!0}),t.texture.bind(n.LINEAR,n.CLAMP_TO_EDGE,n.LINEAR_MIPMAP_NEAREST)),t.state=\"loaded\"}}catch(e){if(delete t.abortController,t.aborted)t.state=\"unloaded\";else if(e)throw t.state=\"errored\",e}}))}abortTile(t){return e._(this,void 0,void 0,(function*(){t.abortController&&(t.abortController.abort(),delete t.abortController)}))}unloadTile(t){return e._(this,void 0,void 0,(function*(){t.texture&&this.map.painter.saveTileTexture(t.texture)}))}hasTransition(){return!1}}class Q extends K{constructor(t,r,n,i){super(t,r,n,i),this.type=\"raster-dem\",this.maxzoom=22,this._options=e.e({type:\"raster-dem\"},r),this.encoding=r.encoding||\"mapbox\",this.redFactor=r.redFactor,this.greenFactor=r.greenFactor,this.blueFactor=r.blueFactor,this.baseShift=r.baseShift}loadTile(t){return e._(this,void 0,void 0,(function*(){const r=t.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme),n=this.map._requestManager.transformRequest(r,\"Tile\");t.neighboringTiles=this._getNeighboringTiles(t.tileID),t.abortController=new AbortController;try{const r=yield p.getImage(n,t.abortController,this.map._refreshExpiredTiles);if(delete t.abortController,t.aborted)return void(t.state=\"unloaded\");if(r&&r.data){const n=r.data;this.map._refreshExpiredTiles&&r.cacheControl&&r.expires&&t.setExpiryData({cacheControl:r.cacheControl,expires:r.expires});const i=e.b(n)&&e.U()?n:yield this.readImageNow(n),a={type:this.type,uid:t.uid,source:this.id,rawImageData:i,encoding:this.encoding,redFactor:this.redFactor,greenFactor:this.greenFactor,blueFactor:this.blueFactor,baseShift:this.baseShift};if(!t.actor||\"expired\"===t.state){t.actor=this.dispatcher.getActor();const e=yield t.actor.sendAsync({type:\"LDT\",data:a});t.dem=e,t.needsHillshadePrepare=!0,t.needsTerrainPrepare=!0,t.state=\"loaded\"}}}catch(e){if(delete t.abortController,t.aborted)t.state=\"unloaded\";else if(e)throw t.state=\"errored\",e}}))}readImageNow(t){return e._(this,void 0,void 0,(function*(){if(\"undefined\"!=typeof VideoFrame&&e.V()){const r=t.width+2,n=t.height+2;try{return new e.R({width:r,height:n},yield e.W(t,-1,-1,r,n))}catch(t){}}return a.getImageData(t,1)}))}_getNeighboringTiles(t){const r=t.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?t.wrap-1:t.wrap,o=(r.x+1+n)%n,s=r.x+1===n?t.wrap+1:t.wrap,l={};return l[new e.S(t.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new e.S(t.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new e.S(t.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new e.S(t.overscaledZ,t.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new e.S(t.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new e.S(t.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new e.S(t.overscaledZ,t.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new e.S(t.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l}unloadTile(t){return e._(this,void 0,void 0,(function*(){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&(yield t.actor.sendAsync({type:\"RDT\",data:{type:this.type,uid:t.uid,source:this.id}}))}))}}class tt extends e.E{constructor(t,r,n,i){super(),this.id=t,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._pendingLoads=0,this.actor=n.getActor(),this.setEventedParent(i),this._data=r.data,this._options=e.e({},r),this._collectResourceTiming=r.collectResourceTiming,void 0!==r.maxzoom&&(this.maxzoom=r.maxzoom),r.type&&(this.type=r.type),r.attribution&&(this.attribution=r.attribution),this.promoteId=r.promoteId;const a=e.X/this.tileSize;this.workerOptions=e.e({source:this.id,cluster:r.cluster||!1,geojsonVtOptions:{buffer:(void 0!==r.buffer?r.buffer:128)*a,tolerance:(void 0!==r.tolerance?r.tolerance:.375)*a,extent:e.X,maxZoom:this.maxzoom,lineMetrics:r.lineMetrics||!1,generateId:r.generateId||!1},superclusterOptions:{maxZoom:void 0!==r.clusterMaxZoom?r.clusterMaxZoom:this.maxzoom-1,minPoints:Math.max(2,r.clusterMinPoints||2),extent:e.X,radius:(r.clusterRadius||50)*a,log:!1,generateId:r.generateId||!1},clusterProperties:r.clusterProperties,filter:r.filter},r.workerOptions),\"string\"==typeof this.promoteId&&(this.workerOptions.promoteId=this.promoteId)}load(){return e._(this,void 0,void 0,(function*(){yield this._updateWorkerData()}))}onAdd(t){this.map=t,this.load()}setData(t){return this._data=t,this._updateWorkerData(),this}updateData(t){return this._updateWorkerData(t),this}getData(){return e._(this,void 0,void 0,(function*(){const t=e.e({type:this.type},this.workerOptions);return this.actor.sendAsync({type:\"GD\",data:t})}))}setClusterOptions(t){return this.workerOptions.cluster=t.cluster,t&&(void 0!==t.clusterRadius&&(this.workerOptions.superclusterOptions.radius=t.clusterRadius),void 0!==t.clusterMaxZoom&&(this.workerOptions.superclusterOptions.maxZoom=t.clusterMaxZoom)),this._updateWorkerData(),this}getClusterExpansionZoom(t){return this.actor.sendAsync({type:\"GCEZ\",data:{type:this.type,clusterId:t,source:this.id}})}getClusterChildren(t){return this.actor.sendAsync({type:\"GCC\",data:{type:this.type,clusterId:t,source:this.id}})}getClusterLeaves(t,e,r){return this.actor.sendAsync({type:\"GCL\",data:{type:this.type,source:this.id,clusterId:t,limit:e,offset:r}})}_updateWorkerData(t){return e._(this,void 0,void 0,(function*(){const r=e.e({type:this.type},this.workerOptions);t?r.dataDiff=t:\"string\"==typeof this._data?(r.request=this.map._requestManager.transformRequest(a.resolveURL(this._data),\"Source\"),r.request.collectResourceTiming=this._collectResourceTiming):r.data=JSON.stringify(this._data),this._pendingLoads++,this.fire(new e.k(\"dataloading\",{dataType:\"source\"}));try{const t=yield this.actor.sendAsync({type:\"LD\",data:r});if(this._pendingLoads--,this._removed||t.abandoned)return void this.fire(new e.k(\"dataabort\",{dataType:\"source\"}));let n=null;t.resourceTiming&&t.resourceTiming[this.id]&&(n=t.resourceTiming[this.id].slice(0));const i={dataType:\"source\"};this._collectResourceTiming&&n&&n.length>0&&e.e(i,{resourceTiming:n}),this.fire(new e.k(\"data\",Object.assign(Object.assign({},i),{sourceDataType:\"metadata\"}))),this.fire(new e.k(\"data\",Object.assign(Object.assign({},i),{sourceDataType:\"content\"})))}catch(t){if(this._pendingLoads--,this._removed)return void this.fire(new e.k(\"dataabort\",{dataType:\"source\"}));this.fire(new e.j(t))}}))}loaded(){return 0===this._pendingLoads}loadTile(t){return e._(this,void 0,void 0,(function*(){const e=t.actor?\"RT\":\"LT\";t.actor=this.actor;const r={type:this.type,uid:t.uid,tileID:t.tileID,zoom:t.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:this.map.getPixelRatio(),showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};t.abortController=new AbortController;const n=yield this.actor.sendAsync({type:e,data:r},t.abortController);delete t.abortController,t.unloadVectorData(),t.aborted||t.loadVectorData(n,this.map.painter,\"RT\"===e)}))}abortTile(t){return e._(this,void 0,void 0,(function*(){t.abortController&&(t.abortController.abort(),delete t.abortController),t.aborted=!0}))}unloadTile(t){return e._(this,void 0,void 0,(function*(){t.unloadVectorData(),yield this.actor.sendAsync({type:\"RMT\",data:{uid:t.uid,type:this.type,source:this.id}})}))}onRemove(){this._removed=!0,this.actor.sendAsync({type:\"RS\",data:{type:this.type,source:this.id}})}serialize(){return e.e({},this._options,{type:this.type,data:this._data})}hasTransition(){return!1}}var et=e.Y([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]);class rt extends e.E{constructor(t,e,r,n){super(),this.id=t,this.dispatcher=r,this.coordinates=e.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(n),this.options=e}load(t){return e._(this,void 0,void 0,(function*(){this._loaded=!1,this.fire(new e.k(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,this._request=new AbortController;try{const e=yield p.getImage(this.map._requestManager.transformRequest(this.url,\"Image\"),this._request);this._request=null,this._loaded=!0,e&&e.data&&(this.image=e.data,t&&(this.coordinates=t),this._finishLoading())}catch(t){this._request=null,this._loaded=!0,this.fire(new e.j(t))}}))}loaded(){return this._loaded}updateImage(t){return t.url?(this._request&&(this._request.abort(),this._request=null),this.options.url=t.url,this.load(t.coordinates).finally((()=>{this.texture=null})),this):this}_finishLoading(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))}onAdd(t){this.map=t,this.load()}onRemove(){this._request&&(this._request.abort(),this._request=null)}setCoordinates(t){this.coordinates=t;const r=t.map(e.Z.fromLngLat);this.tileID=function(t){let r=1/0,n=1/0,i=-1/0,a=-1/0;for(const e of t)r=Math.min(r,e.x),n=Math.min(n,e.y),i=Math.max(i,e.x),a=Math.max(a,e.y);const o=i-r,s=a-n,l=Math.max(o,s),c=Math.max(0,Math.floor(-Math.log(l)/Math.LN2)),u=Math.pow(2,c);return new e.a1(c,Math.floor((r+i)/2*u),Math.floor((n+a)/2*u))}(r),this.minzoom=this.maxzoom=this.tileID.z;const n=r.map((t=>this.tileID.getTilePoint(t)._round()));return this._boundsArray=new e.$,this._boundsArray.emplaceBack(n[0].x,n[0].y,0,0),this._boundsArray.emplaceBack(n[1].x,n[1].y,e.X,0),this._boundsArray.emplaceBack(n[3].x,n[3].y,0,e.X),this._boundsArray.emplaceBack(n[2].x,n[2].y,e.X,e.X),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this}prepare(){if(0===Object.keys(this.tiles).length||!this.image)return;const t=this.map.painter.context,r=t.gl;this.boundsBuffer||(this.boundsBuffer=t.createVertexBuffer(this._boundsArray,et.members)),this.boundsSegments||(this.boundsSegments=e.a0.simpleSegment(0,0,4,2)),this.texture||(this.texture=new w(t,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE));let n=!1;for(const t in this.tiles){const e=this.tiles[t];\"loaded\"!==e.state&&(e.state=\"loaded\",e.texture=this.texture,n=!0)}n&&this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}loadTile(t){return e._(this,void 0,void 0,(function*(){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={}):t.state=\"errored\"}))}serialize(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}}hasTransition(){return!1}}class nt extends rt{constructor(t,e,r,n){super(t,e,r,n),this.roundZoom=!0,this.type=\"video\",this.options=e}load(){return e._(this,void 0,void 0,(function*(){this._loaded=!1;const t=this.options;this.urls=[];for(const e of t.urls)this.urls.push(this.map._requestManager.transformRequest(e,\"Source\").url);try{const t=yield e.a3(this.urls);if(this._loaded=!0,!t)return;this.video=t,this.video.loop=!0,this.video.addEventListener(\"playing\",(()=>{this.map.triggerRepaint()})),this.map&&this.video.play(),this._finishLoading()}catch(t){this.fire(new e.j(t))}}))}pause(){this.video&&this.video.pause()}play(){this.video&&this.video.play()}seek(t){if(this.video){const r=this.video.seekable;t<r.start(0)||t>r.end(0)?this.fire(new e.j(new e.a2(`sources.${this.id}`,null,`Playback for this video can be set only between the ${r.start(0)} and ${r.end(0)}-second mark.`))):this.video.currentTime=t}}getVideo(){return this.video}onAdd(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))}prepare(){if(0===Object.keys(this.tiles).length||this.video.readyState<2)return;const t=this.map.painter.context,r=t.gl;this.boundsBuffer||(this.boundsBuffer=t.createVertexBuffer(this._boundsArray,et.members)),this.boundsSegments||(this.boundsSegments=e.a0.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new w(t,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE));let n=!1;for(const t in this.tiles){const e=this.tiles[t];\"loaded\"!==e.state&&(e.state=\"loaded\",e.texture=this.texture,n=!0)}n&&this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}serialize(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}}hasTransition(){return this.video&&!this.video.paused}}class it extends rt{constructor(t,r,n,i){super(t,r,n,i),r.coordinates?Array.isArray(r.coordinates)&&4===r.coordinates.length&&!r.coordinates.some((t=>!Array.isArray(t)||2!==t.length||t.some((t=>\"number\"!=typeof t))))||this.fire(new e.j(new e.a2(`sources.${t}`,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new e.j(new e.a2(`sources.${t}`,null,'missing required property \"coordinates\"'))),r.animate&&\"boolean\"!=typeof r.animate&&this.fire(new e.j(new e.a2(`sources.${t}`,null,'optional \"animate\" property must be a boolean value'))),r.canvas?\"string\"==typeof r.canvas||r.canvas instanceof HTMLCanvasElement||this.fire(new e.j(new e.a2(`sources.${t}`,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new e.j(new e.a2(`sources.${t}`,null,'missing required property \"canvas\"'))),this.options=r,this.animate=void 0===r.animate||r.animate}load(){return e._(this,void 0,void 0,(function*(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof HTMLCanvasElement?this.options.canvas:document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new e.j(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())}))}getCanvas(){return this.canvas}onAdd(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()}onRemove(){this.pause()}prepare(){let t=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,t=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,t=!0),this._hasInvalidDimensions())return;if(0===Object.keys(this.tiles).length)return;const r=this.map.painter.context,n=r.gl;this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,et.members)),this.boundsSegments||(this.boundsSegments=e.a0.simpleSegment(0,0,4,2)),this.texture?(t||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new w(r,this.canvas,n.RGBA,{premultiply:!0});let i=!1;for(const t in this.tiles){const e=this.tiles[t];\"loaded\"!==e.state&&(e.state=\"loaded\",e.texture=this.texture,i=!0)}i&&this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}serialize(){return{type:\"canvas\",coordinates:this.coordinates}}hasTransition(){return this._playing}_hasInvalidDimensions(){for(const t of[this.canvas.width,this.canvas.height])if(isNaN(t)||t<=0)return!0;return!1}}const at={},ot=t=>{switch(t){case\"geojson\":return tt;case\"image\":return rt;case\"raster\":return K;case\"raster-dem\":return Q;case\"vector\":return J;case\"video\":return nt;case\"canvas\":return it}return at[t]};const st=\"RTLPluginLoaded\";class lt extends e.E{constructor(){super(...arguments),this.status=\"unavailable\",this.url=null,this.dispatcher=H()}_syncState(t){return this.status=t,this.dispatcher.broadcast(\"SRPS\",{pluginStatus:t,pluginURL:this.url}).catch((t=>{throw this.status=\"error\",t}))}getRTLTextPluginStatus(){return this.status}clearRTLTextPlugin(){this.status=\"unavailable\",this.url=null}setRTLTextPlugin(t){return e._(this,arguments,void 0,(function*(t,e=!1){if(this.url)throw new Error(\"setRTLTextPlugin cannot be called multiple times.\");if(this.url=a.resolveURL(t),!this.url)throw new Error(`requested url ${t} is invalid`);if(\"unavailable\"===this.status){if(!e)return this._requestImport();this.status=\"deferred\",this._syncState(this.status)}else if(\"requested\"===this.status)return this._requestImport()}))}_requestImport(){return e._(this,void 0,void 0,(function*(){yield this._syncState(\"loading\"),this.status=\"loaded\",this.fire(new e.k(st))}))}lazyLoad(){\"unavailable\"===this.status?this.status=\"requested\":\"deferred\"===this.status&&this._requestImport()}}let ct=null;function ut(){return ct||(ct=new lt),ct}class ht{constructor(t,r){this.timeAdded=0,this.fadeEndTime=0,this.tileID=t,this.uid=e.a4(),this.uses=0,this.tileSize=r,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.rtt=[],this.rttCoords={},this.expiredRequestCount=0,this.state=\"loading\"}registerFadeDuration(t){const e=t+this.timeAdded;e<this.fadeEndTime||(this.fadeEndTime=e)}wasRequested(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state}clearTextures(t){this.demTexture&&t.saveTileTexture(this.demTexture),this.demTexture=null}loadVectorData(t,r,n){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){const r={};if(!e)return r;for(const n of t){const t=n.layerIds.map((t=>e.getLayer(t))).filter(Boolean);if(0!==t.length){n.layers=t,n.stateDependentLayerIds&&(n.stateDependentLayers=n.stateDependentLayerIds.map((e=>t.filter((t=>t.id===e))[0])));for(const e of t)r[e.id]=n}}return r}(t.buckets,r.style),this.hasSymbolBuckets=!1;for(const t in this.buckets){const r=this.buckets[t];if(r instanceof e.a6){if(this.hasSymbolBuckets=!0,!n)break;r.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(const t in this.buckets){const r=this.buckets[t];if(r instanceof e.a6&&r.hasRTLText){this.hasRTLText=!0,ut().lazyLoad();break}}this.queryPadding=0;for(const t in this.buckets){const e=this.buckets[t];this.queryPadding=Math.max(this.queryPadding,r.style.getLayer(t).queryRadius(e))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new e.a5}unloadVectorData(){for(const t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"}getBucket(t){return this.buckets[t.id]}upload(t){for(const e in this.buckets){const r=this.buckets[e];r.uploadPending()&&r.upload(t)}const e=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new w(t,this.imageAtlas.image,e.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new w(t,this.glyphAtlasImage,e.ALPHA),this.glyphAtlasImage=null)}prepare(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)}queryRenderedFeatures(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}}querySourceFeatures(t,r){const n=this.latestFeatureIndex;if(!n||!n.rawTileData)return;const i=n.loadVTLayers(),a=r&&r.sourceLayer?r.sourceLayer:\"\",o=i._geojsonTileLayer||i[a];if(!o)return;const s=e.a7(r&&r.filter),{z:l,x:c,y:u}=this.tileID.canonical,h={z:l,x:c,y:u};for(let r=0;r<o.length;r++){const i=o.feature(r);if(s.needGeometry){const t=e.a8(i,!0);if(!s.filter(new e.a9(this.tileID.overscaledZ),t,this.tileID.canonical))continue}else if(!s.filter(new e.a9(this.tileID.overscaledZ),i))continue;const f=n.getId(i,a),p=new e.aa(i,l,c,u,f);p.tile=h,t.push(p)}}hasData(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state}patternsLoaded(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length}setExpiryData(t){const r=this.expirationTime;if(t.cacheControl){const r=e.ab(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){const t=Date.now();let e=!1;if(this.expirationTime>t)e=!1;else if(r)if(this.expirationTime<r)e=!0;else{const n=this.expirationTime-r;n?this.expirationTime=t+Math.max(n,3e4):e=!0}else e=!0;e?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}}getExpiryTimeout(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)}setFeatureState(t,e){if(!this.latestFeatureIndex||!this.latestFeatureIndex.rawTileData||0===Object.keys(t).length)return;const r=this.latestFeatureIndex.loadVTLayers();for(const n in this.buckets){if(!e.style.hasLayer(n))continue;const i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(!o||!s||0===Object.keys(s).length)continue;i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});const l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}holdingForFade(){return void 0!==this.symbolFadeHoldUntil}symbolFadeFinished(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<a.now()}clearFadeHold(){this.symbolFadeHoldUntil=void 0}setHoldDuration(t){this.symbolFadeHoldUntil=a.now()+t}setDependencies(t,e){const r={};for(const t of e)r[t]=!0;this.dependencies[t]=r}hasDependency(t,e){for(const r of t){const t=this.dependencies[r];if(t)for(const r of e)if(t[r])return!0}return!1}}class ft{constructor(t,e){this.max=t,this.onRemove=e,this.reset()}reset(){for(const t in this.data)for(const e of this.data[t])e.timeout&&clearTimeout(e.timeout),this.onRemove(e.value);return this.data={},this.order=[],this}add(t,e,r){const n=t.wrapped().key;void 0===this.data[n]&&(this.data[n]=[]);const i={value:e,timeout:void 0};if(void 0!==r&&(i.timeout=setTimeout((()=>{this.remove(t,i)}),r)),this.data[n].push(i),this.order.push(n),this.order.length>this.max){const t=this._getAndRemoveByKey(this.order[0]);t&&this.onRemove(t)}return this}has(t){return t.wrapped().key in this.data}getAndRemove(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null}_getAndRemoveByKey(t){const 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}getByKey(t){const e=this.data[t];return e?e[0].value:null}get(t){return this.has(t)?this.data[t.wrapped().key][0].value:null}remove(t,e){if(!this.has(t))return this;const 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}setMaxSize(t){for(this.max=t;this.order.length>this.max;){const t=this._getAndRemoveByKey(this.order[0]);t&&this.onRemove(t)}return this}filter(t){const e=[];for(const r in this.data)for(const n of this.data[r])t(n.value)||e.push(n);for(const t of e)this.remove(t.value.tileID,t)}}class pt{constructor(){this.state={},this.stateChanges={},this.deletedStates={}}updateState(t,r,n){const i=String(r);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][i]=this.stateChanges[t][i]||{},e.e(this.stateChanges[t][i],n),null===this.deletedStates[t]){this.deletedStates[t]={};for(const e in this.state[t])e!==i&&(this.deletedStates[t][e]=null)}else if(this.deletedStates[t]&&null===this.deletedStates[t][i]){this.deletedStates[t][i]={};for(const e in this.state[t][i])n[e]||(this.deletedStates[t][i][e]=null)}else for(const e in n)this.deletedStates[t]&&this.deletedStates[t][i]&&null===this.deletedStates[t][i][e]&&delete this.deletedStates[t][i][e]}removeFeatureState(t,e,r){if(null===this.deletedStates[t])return;const n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}getState(t,r){const n=String(r),i=this.state[t]||{},a=this.stateChanges[t]||{},o=e.e({},i[n],a[n]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){const e=this.deletedStates[t][r];if(null===e)return{};for(const t in e)delete o[t]}return o}initializeTileState(t,e){t.setFeatureState(this.state,e)}coalesceChanges(t,r){const n={};for(const t in this.stateChanges){this.state[t]=this.state[t]||{};const r={};for(const n in this.stateChanges[t])this.state[t][n]||(this.state[t][n]={}),e.e(this.state[t][n],this.stateChanges[t][n]),r[n]=this.state[t][n];n[t]=r}for(const t in this.deletedStates){this.state[t]=this.state[t]||{};const r={};if(null===this.deletedStates[t])for(const e in this.state[t])r[e]={},this.state[t][e]={};else for(const e in this.deletedStates[t]){if(null===this.deletedStates[t][e])this.state[t][e]={};else for(const r of Object.keys(this.deletedStates[t][e]))delete this.state[t][e][r];r[e]=this.state[t][e]}n[t]=n[t]||{},e.e(n[t],r)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(n).length)for(const e in t)t[e].setFeatureState(n,r)}}class dt extends e.E{constructor(t,e,r){super(),this.id=t,this.dispatcher=r,this.on(\"data\",(t=>this._dataHandler(t))),this.on(\"dataloading\",(()=>{this._sourceErrored=!1})),this.on(\"error\",(()=>{this._sourceErrored=this._source.loaded()})),this._source=((t,e,r,n)=>{const i=new(ot(e.type))(t,e,r,n);if(i.id!==t)throw new Error(`Expected Source id to be ${t} instead of ${i.id}`);return i})(t,e,r,this),this._tiles={},this._cache=new ft(0,(t=>this._unloadTile(t))),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._maxTileCacheZoomLevels=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new pt,this._didEmitContent=!1,this._updated=!1}onAdd(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._maxTileCacheZoomLevels=t?t._maxTileCacheZoomLevels:null,this._source&&this._source.onAdd&&this._source.onAdd(t)}onRemove(t){this.clearTiles(),this._source&&this._source.onRemove&&this._source.onRemove(t)}loaded(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;if(!(void 0===this.used&&void 0===this.usedForTerrain||this.used||this.usedForTerrain))return!0;if(!this._updated)return!1;for(const t in this._tiles){const e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0}getSource(){return this._source}pause(){this._paused=!0}resume(){if(!this._paused)return;const t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform,this.terrain)}_loadTile(t,r,n){return e._(this,void 0,void 0,(function*(){try{yield this._source.loadTile(t),this._tileLoaded(t,r,n)}catch(r){t.state=\"errored\",404!==r.status?this._source.fire(new e.j(r,{tile:t})):this.update(this.transform,this.terrain)}}))}_unloadTile(t){this._source.unloadTile&&this._source.unloadTile(t)}_abortTile(t){this._source.abortTile&&this._source.abortTile(t),this._source.fire(new e.k(\"dataabort\",{tile:t,coord:t.tileID,dataType:\"source\"}))}serialize(){return this._source.serialize()}prepare(t){this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null);for(const e in this._tiles){const r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}}getIds(){return Object.values(this._tiles).map((t=>t.tileID)).sort(mt).map((t=>t.key))}getRenderableIds(t){const r=[];for(const e in this._tiles)this._isIdRenderable(e,t)&&r.push(this._tiles[e]);return t?r.sort(((t,r)=>{const n=t.tileID,i=r.tileID,a=new e.P(n.canonical.x,n.canonical.y)._rotate(this.transform.angle),o=new e.P(i.canonical.x,i.canonical.y)._rotate(this.transform.angle);return n.overscaledZ-i.overscaledZ||o.y-a.y||o.x-a.x})).map((t=>t.tileID.key)):r.map((t=>t.tileID)).sort(mt).map((t=>t.key))}hasRenderableParent(t){const e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)}_isIdRenderable(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())}reload(){if(this._paused)this._shouldReloadOnResume=!0;else{this._cache.reset();for(const t in this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")}}_reloadTile(t,r){return e._(this,void 0,void 0,(function*(){const e=this._tiles[t];e&&(\"loading\"!==e.state&&(e.state=r),yield this._loadTile(e,t,r))}))}_tileLoaded(t,r,n){t.timeAdded=a.now(),\"expired\"===n&&(t.refreshedUponExpiration=!0),this._setTileReloadTimer(r,t),\"raster-dem\"===this.getSource().type&&t.dem&&this._backfillDEM(t),this._state.initializeTileState(t,this.map?this.map.painter:null),t.aborted||this._source.fire(new e.k(\"data\",{dataType:\"source\",tile:t,coord:t.tileID}))}_backfillDEM(t){const e=this.getRenderableIds();for(let n=0;n<e.length;n++){const i=e[n];if(t.neighboringTiles&&t.neighboringTiles[i]){const e=this.getTileByID(i);r(t,e),r(e,t)}}function r(t,e){t.needsHillshadePrepare=!0,t.needsTerrainPrepare=!0;let r=e.tileID.canonical.x-t.tileID.canonical.x;const n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}}getTile(t){return this.getTileByID(t.key)}getTileByID(t){return this._tiles[t]}_retainLoadedChildren(t,e,r,n){for(const i in this._tiles){let a=this._tiles[i];if(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)continue;let o=a.tileID;for(;a&&a.tileID.overscaledZ>e+1;){const t=a.tileID.scaledTo(a.tileID.overscaledZ-1);a=this._tiles[t.key],a&&a.hasData()&&(o=t)}let s=o;for(;s.overscaledZ>e;)if(s=s.scaledTo(s.overscaledZ-1),t[s.key]){n[o.key]=o;break}}}findLoadedParent(t,e){if(t.key in this._loadedParentTiles){const r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(let r=t.overscaledZ-1;r>=e;r--){const e=t.scaledTo(r),n=this._getLoadedTile(e);if(n)return n}}findLoadedSibling(t){return this._getLoadedTile(t)}_getLoadedTile(t){const e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)}updateCacheSize(t){const r=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),n=null===this._maxTileCacheZoomLevels?e.a.MAX_TILE_CACHE_ZOOM_LEVELS:this._maxTileCacheZoomLevels,i=Math.floor(r*n),a=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,i):i;this._cache.setMaxSize(a)}handleWrapJump(t){const e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){const t={};for(const e in this._tiles){const n=this._tiles[e];n.tileID=n.tileID.unwrapTo(n.tileID.wrap+r),t[n.tileID.key]=n}this._tiles=t;for(const t in this._timers)clearTimeout(this._timers[t]),delete this._timers[t];for(const t in this._tiles){const e=this._tiles[t];this._setTileReloadTimer(t,e)}}}_updateCoveredAndRetainedTiles(t,e,r,n,i,o){const s={},l={},c=Object.keys(t),u=a.now();for(const r of c){const n=t[r],i=this._tiles[r];if(!i||0!==i.fadeEndTime&&i.fadeEndTime<=u)continue;const a=this.findLoadedParent(n,e),o=this.findLoadedSibling(n),c=a||o||null;c&&(this._addTile(c.tileID),s[c.tileID.key]=c.tileID),l[r]=n}this._retainLoadedChildren(l,n,r,t);for(const e in s)t[e]||(this._coveredTiles[e]=!0,t[e]=s[e]);if(o){const e={},r={};for(const t of i)this._tiles[t.key].hasData()?e[t.key]=t:r[t.key]=t;for(const n in r){const i=r[n].children(this._source.maxzoom);this._tiles[i[0].key]&&this._tiles[i[1].key]&&this._tiles[i[2].key]&&this._tiles[i[3].key]&&(e[i[0].key]=t[i[0].key]=i[0],e[i[1].key]=t[i[1].key]=i[1],e[i[2].key]=t[i[2].key]=i[2],e[i[3].key]=t[i[3].key]=i[3],delete r[n])}for(const n in r){const i=r[n],a=this.findLoadedParent(i,this._source.minzoom),o=this.findLoadedSibling(i),s=a||o||null;if(s){e[s.tileID.key]=t[s.tileID.key]=s.tileID;for(const t in e)e[t].isChildOf(s.tileID)&&delete e[t]}}for(const t in this._tiles)e[t]||(this._coveredTiles[t]=!0)}}update(t,r){if(!this._sourceLoaded||this._paused)return;let n;this.transform=t,this.terrain=r,this.updateCacheSize(t),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used||this.usedForTerrain?this._source.tileID?n=t.getVisibleUnwrappedCoordinates(this._source.tileID).map((t=>new e.S(t.canonical.z,t.wrap,t.canonical.z,t.canonical.x,t.canonical.y))):(n=t.coveringTiles({tileSize:this.usedForTerrain?this.tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:!this.usedForTerrain&&this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled,terrain:r}),this._source.hasTile&&(n=n.filter((t=>this._source.hasTile(t))))):n=[];const i=t.coveringZoomLevel(this._source),a=Math.max(i-dt.maxOverzooming,this._source.minzoom),o=Math.max(i+dt.maxUnderzooming,this._source.minzoom);if(this.usedForTerrain){const t={};for(const e of n)if(e.canonical.z>this._source.minzoom){const r=e.scaledTo(e.canonical.z-1);t[r.key]=r;const n=e.scaledTo(Math.max(this._source.minzoom,Math.min(e.canonical.z,5)));t[n.key]=n}n=n.concat(Object.values(t))}const s=0===n.length&&!this._updated&&this._didEmitContent;this._updated=!0,s&&this.fire(new e.k(\"data\",{sourceDataType:\"idle\",dataType:\"source\",sourceId:this.id}));const l=this._updateRetainedTiles(n,i);gt(this._source.type)&&this._updateCoveredAndRetainedTiles(l,a,o,i,n,r);for(const t in l)this._tiles[t].clearFadeHold();const c=e.ac(this._tiles,l);for(const t of c){const e=this._tiles[t];e.hasSymbolBuckets&&!e.holdingForFade()?e.setHoldDuration(this.map._fadeDuration):e.hasSymbolBuckets&&!e.symbolFadeFinished()||this._removeTile(t)}this._updateLoadedParentTileCache(),this._updateLoadedSiblingTileCache()}releaseSymbolFadeTiles(){for(const t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)}_updateRetainedTiles(t,e){var r;const n={},i={},a=Math.max(e-dt.maxOverzooming,this._source.minzoom),o=Math.max(e+dt.maxUnderzooming,this._source.minzoom),s={};for(const r of t){const t=this._addTile(r);n[r.key]=r,t.hasData()||e<this._source.maxzoom&&(s[r.key]=r)}this._retainLoadedChildren(s,e,o,n);for(const o of t){let t=this._tiles[o.key];if(t.hasData())continue;if(e+1>this._source.maxzoom){const t=o.children(this._source.maxzoom)[0],e=this.getTile(t);if(e&&e.hasData()){n[t.key]=t;continue}}else{const t=o.children(this._source.maxzoom);if(n[t[0].key]&&n[t[1].key]&&n[t[2].key]&&n[t[3].key])continue}let s=t.wasRequested();for(let e=o.overscaledZ-1;e>=a;--e){const a=o.scaledTo(e);if(i[a.key])break;if(i[a.key]=!0,t=this.getTile(a),!t&&s&&(t=this._addTile(a)),t){const e=t.hasData();if((e||!(null===(r=this.map)||void 0===r?void 0:r.cancelPendingTileRequestsWhileZooming)||s)&&(n[a.key]=a),s=t.wasRequested(),e)break}}}return n}_updateLoadedParentTileCache(){this._loadedParentTiles={};for(const t in this._tiles){const e=[];let r,n=this._tiles[t].tileID;for(;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);const t=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(t),r)break;n=t}for(const t of e)this._loadedParentTiles[t]=r}}_updateLoadedSiblingTileCache(){this._loadedSiblingTiles={};for(const t in this._tiles){const e=this._tiles[t].tileID,r=this._getLoadedTile(e);this._loadedSiblingTiles[e.key]=r}}_addTile(t){let r=this._tiles[t.key];if(r)return r;r=this._cache.getAndRemove(t),r&&(this._setTileReloadTimer(t.key,r),r.tileID=t,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[t.key]&&(clearTimeout(this._cacheTimers[t.key]),delete this._cacheTimers[t.key],this._setTileReloadTimer(t.key,r)));const n=r;return r||(r=new ht(t,this._source.tileSize*t.overscaleFactor()),this._loadTile(r,t.key,r.state)),r.uses++,this._tiles[t.key]=r,n||this._source.fire(new e.k(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r}_setTileReloadTimer(t,e){t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);const r=e.getExpiryTimeout();r&&(this._timers[t]=setTimeout((()=>{this._reloadTile(t,\"expired\"),delete this._timers[t]}),r))}_removeTile(t){const e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))}_dataHandler(t){const e=t.sourceDataType;\"source\"===t.dataType&&\"metadata\"===e&&(this._sourceLoaded=!0),this._sourceLoaded&&!this._paused&&\"source\"===t.dataType&&\"content\"===e&&(this.reload(),this.transform&&this.update(this.transform,this.terrain),this._didEmitContent=!0)}clearTiles(){this._shouldReloadOnResume=!1,this._paused=!1;for(const t in this._tiles)this._removeTile(t);this._cache.reset()}tilesIn(t,r,n){const i=[],a=this.transform;if(!a)return i;const o=n?a.getCameraQueryGeometry(t):t,s=t.map((t=>a.pointCoordinate(t,this.terrain))),l=o.map((t=>a.pointCoordinate(t,this.terrain))),c=this.getIds();let u=1/0,h=1/0,f=-1/0,p=-1/0;for(const t of l)u=Math.min(u,t.x),h=Math.min(h,t.y),f=Math.max(f,t.x),p=Math.max(p,t.y);for(let t=0;t<c.length;t++){const n=this._tiles[c[t]];if(n.holdingForFade())continue;const o=n.tileID,d=Math.pow(2,a.zoom-n.tileID.overscaledZ),m=r*n.queryPadding*e.X/n.tileSize/d,g=[o.getTilePoint(new e.Z(u,h)),o.getTilePoint(new e.Z(f,p))];if(g[0].x-m<e.X&&g[0].y-m<e.X&&g[1].x+m>=0&&g[1].y+m>=0){const t=s.map((t=>o.getTilePoint(t))),e=l.map((t=>o.getTilePoint(t)));i.push({tile:n,tileID:o,queryGeometry:t,cameraQueryGeometry:e,scale:d})}}return i}getVisibleCoordinates(t){const e=this.getRenderableIds(t).map((t=>this._tiles[t].tileID));for(const t of e)t.posMatrix=this.transform.calculatePosMatrix(t.toUnwrapped());return e}hasTransition(){if(this._source.hasTransition())return!0;if(gt(this._source.type)){const t=a.now();for(const e in this._tiles)if(this._tiles[e].fadeEndTime>=t)return!0}return!1}setFeatureState(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)}removeFeatureState(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)}getFeatureState(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)}setDependencies(t,e,r){const n=this._tiles[t];n&&n.setDependencies(e,r)}reloadTilesForDependencies(t,e){for(const r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((r=>!r.hasDependency(t,e)))}}function mt(t,e){const 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 gt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}dt.maxOverzooming=10,dt.maxUnderzooming=3;class yt{constructor(t,e){this.reset(t,e)}reset(t,e){this.points=t||[],this._distances=[0];for(let t=1;t<this.points.length;t++)this._distances[t]=this._distances[t-1]+this.points[t].dist(this.points[t-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding}lerp(t){if(1===this.points.length)return this.points[0];t=e.ad(t,0,1);let r=1,n=this._distances[r];const i=t*this.paddedLength+this.padding;for(;n<i&&r<this._distances.length;)n=this._distances[++r];const a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))}}function vt(t,e){let r=!0;return\"always\"===t||\"never\"!==t&&\"never\"!==e||(r=!1),r}class xt{constructor(t,e,r){const n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(let t=0;t<this.xCellCount*this.yCellCount;t++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0}keysLength(){return this.boxKeys.length+this.circleKeys.length}insert(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)}insertCircle(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)}_insertBoxCell(t,e,r,n,i,a){this.boxCells[i].push(a)}_insertCircleCell(t,e,r,n,i,a){this.circleCells[i].push(a)}_query(t,e,r,n,i,a,o){if(r<0||t>this.width||n<0||e>this.height)return[];const s=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return[{key:null,x1:t,y1:e,x2:r,y2:n}];for(let t=0;t<this.boxKeys.length;t++)s.push({key:this.boxKeys[t],x1:this.bboxes[4*t],y1:this.bboxes[4*t+1],x2:this.bboxes[4*t+2],y2:this.bboxes[4*t+3]});for(let t=0;t<this.circleKeys.length;t++){const e=this.circles[3*t],r=this.circles[3*t+1],n=this.circles[3*t+2];s.push({key:this.circleKeys[t],x1:e-n,y1:r-n,x2:e+n,y2:r+n})}}else{const l={hitTest:i,overlapMode:a,seenUids:{box:{},circle:{}}};this._forEachCell(t,e,r,n,this._queryCell,s,l,o)}return s}query(t,e,r,n){return this._query(t,e,r,n,!1,null)}hitTest(t,e,r,n,i,a){return this._query(t,e,r,n,!0,i,a).length>0}hitTestCircle(t,e,r,n,i){const a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!1;const c=[],u={hitTest:!0,overlapMode:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),c.length>0}_queryCell(t,e,r,n,i,a,o,s){const{seenUids:l,hitTest:c,overlapMode:u}=o,h=this.boxCells[i];if(null!==h){const i=this.bboxes;for(const o of h)if(!l.box[o]){l.box[o]=!0;const h=4*o,f=this.boxKeys[o];if(t<=i[h+2]&&e<=i[h+3]&&r>=i[h+0]&&n>=i[h+1]&&(!s||s(f))&&(!c||!vt(u,f.overlapMode))&&(a.push({key:f,x1:i[h],y1:i[h+1],x2:i[h+2],y2:i[h+3]}),c))return!0}}const f=this.circleCells[i];if(null!==f){const i=this.circles;for(const o of f)if(!l.circle[o]){l.circle[o]=!0;const h=3*o,f=this.circleKeys[o];if(this._circleAndRectCollide(i[h],i[h+1],i[h+2],t,e,r,n)&&(!s||s(f))&&(!c||!vt(u,f.overlapMode))){const t=i[h],e=i[h+1],r=i[h+2];if(a.push({key:f,x1:t-r,y1:e-r,x2:t+r,y2:e+r}),c)return!0}}}return!1}_queryCellCircle(t,e,r,n,i,a,o,s){const{circle:l,seenUids:c,overlapMode:u}=o,h=this.boxCells[i];if(null!==h){const t=this.bboxes;for(const e of h)if(!c.box[e]){c.box[e]=!0;const r=4*e,n=this.boxKeys[e];if(this._circleAndRectCollide(l.x,l.y,l.radius,t[r+0],t[r+1],t[r+2],t[r+3])&&(!s||s(n))&&!vt(u,n.overlapMode))return a.push(!0),!0}}const f=this.circleCells[i];if(null!==f){const t=this.circles;for(const e of f)if(!c.circle[e]){c.circle[e]=!0;const r=3*e,n=this.circleKeys[e];if(this._circlesCollide(t[r],t[r+1],t[r+2],l.x,l.y,l.radius)&&(!s||s(n))&&!vt(u,n.overlapMode))return a.push(!0),!0}}}_forEachCell(t,e,r,n,i,a,o,s){const l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),h=this._convertToYCellCoord(n);for(let f=l;f<=u;f++)for(let l=c;l<=h;l++){const c=this.xCellCount*l+f;if(i.call(this,t,e,r,n,c,a,o,s))return}}_convertToXCellCoord(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))}_convertToYCellCoord(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))}_circlesCollide(t,e,r,n,i,a){const o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s}_circleAndRectCollide(t,e,r,n,i,a,o){const s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;const c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;const h=l-s,f=u-c;return h*h+f*f<=r*r}}function _t(t,r,n,i,a){const o=e.H();return r?(e.K(o,o,[1/a,1/a,1]),n||e.ae(o,o,i.angle)):e.L(o,i.labelPlaneMatrix,t),o}function bt(t,r,n,i,a){if(r){const r=e.af(t);return e.K(r,r,[a,a,1]),n||e.ae(r,r,-i.angle),r}return i.glCoordMatrix}function wt(t,r,n){let i;n?(i=[t.x,t.y,n(t.x,t.y),1],e.ag(i,i,r)):(i=[t.x,t.y,0,1],function(t,e,r){const n=e[0],i=e[1];t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15]}(i,i,r));const a=i[3];return{point:new e.P(i[0]/a,i[1]/a),signedDistanceFromCamera:a,isOccluded:!1}}function Tt(t,e){return.5+t/e*.5}function kt(t,e){return t.x>=-e[0]&&t.x<=e[0]&&t.y>=-e[1]&&t.y<=e[1]}function At(t,r,n,i,a,o,s,l,c,u,h,f,p,d,m){const g=i?t.textSizeData:t.iconSizeData,y=e.ah(g,n.transform.zoom),v=[256/n.width*2+1,256/n.height*2+1],x=i?t.text.dynamicLayoutVertexArray:t.icon.dynamicLayoutVertexArray;x.clear();const _=t.lineVertexArray,b=i?t.text.placedSymbolArray:t.icon.placedSymbolArray,w=n.transform.width/n.transform.height;let T=!1;for(let i=0;i<b.length;i++){const k=b.get(i);if(k.hidden||k.writingMode===e.ai.vertical&&!T){Rt(k.numGlyphs,x);continue}T=!1;const A=wt(new e.P(k.anchorX,k.anchorY),r,m);if(!kt(A.point,v)){Rt(k.numGlyphs,x);continue}const M=A.signedDistanceFromCamera,S=Tt(n.transform.cameraToCenterDistance,M),E=e.aj(g,y,k),C=s?E/S:E*S,L={getElevation:m,labelPlaneMatrix:a,lineVertexArray:_,pitchWithMap:s,projectionCache:{projections:{},offsets:{},cachedAnchorPoint:void 0,anyProjectionOccluded:!1},projection:u,tileAnchorPoint:new e.P(k.anchorX,k.anchorY),unwrappedTileID:h,width:f,height:p,translation:d},I=Et(L,k,C,!1,l,r,o,t.glyphOffsetArray,x,w,c);T=I.useVertical,(I.notEnoughRoom||T||I.needsFlipping&&Et(L,k,C,!0,l,r,o,t.glyphOffsetArray,x,w,c).notEnoughRoom)&&Rt(k.numGlyphs,x)}i?t.text.dynamicLayoutVertexBuffer.updateData(x):t.icon.dynamicLayoutVertexBuffer.updateData(x)}function Mt(t,e,r,n,i,a,o,s){const l=a.glyphStartIndex+a.numGlyphs,c=a.lineStartIndex,u=a.lineStartIndex+a.lineLength,h=e.getoffsetX(a.glyphStartIndex),f=e.getoffsetX(l-1),p=Ot(t*h,r,n,i,a.segment,c,u,s,o);if(!p)return null;const d=Ot(t*f,r,n,i,a.segment,c,u,s,o);return d?s.projectionCache.anyProjectionOccluded?null:{first:p,last:d}:null}function St(t,r,n,i){return t===e.ai.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(t===e.ai.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function Et(t,r,n,i,a,o,s,l,c,u,h){const f=n/24,p=r.lineOffsetX*f,d=r.lineOffsetY*f;let m;if(r.numGlyphs>1){const e=r.glyphStartIndex+r.numGlyphs,n=r.lineStartIndex,o=r.lineStartIndex+r.lineLength,c=Mt(f,l,p,d,i,r,h,t);if(!c)return{notEnoughRoom:!0};const g=wt(c.first.point,s,t.getElevation).point,y=wt(c.last.point,s,t.getElevation).point;if(a&&!i){const t=St(r.writingMode,g,y,u);if(t)return t}m=[c.first];for(let a=r.glyphStartIndex+1;a<e-1;a++)m.push(Ot(f*l.getoffsetX(a),p,d,i,r.segment,n,o,t,h));m.push(c.last)}else{if(a&&!i){const n=wt(t.tileAnchorPoint,o,t.getElevation).point,i=r.lineStartIndex+r.segment+1,a=new e.P(t.lineVertexArray.getx(i),t.lineVertexArray.gety(i)),s=wt(a,o,t.getElevation),l=s.signedDistanceFromCamera>0?s.point:function(t,e,r,n,i,a){return Ct(t,e,r,n,i,a)}(t.tileAnchorPoint,a,n,1,o,t),c=St(r.writingMode,n,l,u);if(c)return c}const n=Ot(f*l.getoffsetX(r.glyphStartIndex),p,d,i,r.segment,r.lineStartIndex,r.lineStartIndex+r.lineLength,t,h);if(!n||t.projectionCache.anyProjectionOccluded)return{notEnoughRoom:!0};m=[n]}for(const t of m)e.ak(c,t.point,t.angle);return{}}function Ct(t,e,r,n,i,a){const o=t.add(t.sub(e)._unit()),s=void 0!==i?wt(o,i,a.getElevation).point:It(o.x,o.y,a).point,l=r.sub(s);return r.add(l._mult(n/l.mag()))}function Lt(t,r,n){const i=r.projectionCache;if(i.projections[t])return i.projections[t];const a=new e.P(r.lineVertexArray.getx(t),r.lineVertexArray.gety(t)),o=It(a.x,a.y,r);if(o.signedDistanceFromCamera>0)return i.projections[t]=o.point,i.anyProjectionOccluded=i.anyProjectionOccluded||o.isOccluded,o.point;const s=t-n.direction,l=0===n.distanceFromAnchor?r.tileAnchorPoint:new e.P(r.lineVertexArray.getx(s),r.lineVertexArray.gety(s)),c=n.absOffsetX-n.distanceFromAnchor+1;return function(t,e,r,n,i){return Ct(t,e,r,n,void 0,i)}(l,a,n.previousVertex,c,r)}function It(t,r,n){const i=t+n.translation[0],a=r+n.translation[1];let o;return!n.pitchWithMap&&n.projection.useSpecialProjectionForSymbols?(o=n.projection.projectTileCoordinates(i,a,n.unwrappedTileID,n.getElevation),o.point.x=(.5*o.point.x+.5)*n.width,o.point.y=(.5*-o.point.y+.5)*n.height):(o=wt(new e.P(i,a),n.labelPlaneMatrix,n.getElevation),o.isOccluded=!1),o}function Pt(t,e,r){return t._unit()._perp()._mult(e*r)}function zt(t,r,n,i,a,o,s,l,c){if(l.projectionCache.offsets[t])return l.projectionCache.offsets[t];const u=n.add(r);if(t+c.direction<i||t+c.direction>=a)return l.projectionCache.offsets[t]=u,u;const h=Lt(t+c.direction,l,c),f=Pt(h.sub(n),s,c.direction),p=n.add(f),d=h.add(f);return l.projectionCache.offsets[t]=e.al(o,u,p,d)||u,l.projectionCache.offsets[t]}function Ot(t,e,r,n,i,a,o,s,l){const c=n?t-e:t+e;let u=c>0?1:-1,h=0;n&&(u*=-1,h=Math.PI),u<0&&(h+=Math.PI);let f,p=u>0?a+i:a+i+1;s.projectionCache.cachedAnchorPoint?f=s.projectionCache.cachedAnchorPoint:(f=It(s.tileAnchorPoint.x,s.tileAnchorPoint.y,s).point,s.projectionCache.cachedAnchorPoint=f);let d,m,g=f,y=f,v=0,x=0;const _=Math.abs(c),b=[];let w;for(;v+x<=_;){if(p+=u,p<a||p>=o)return null;v+=x,y=g,m=d;const t={absOffsetX:_,direction:u,distanceFromAnchor:v,previousVertex:y};if(g=Lt(p,s,t),0===r)b.push(y),w=g.sub(y);else{let e;const n=g.sub(y);e=0===n.mag()?Pt(Lt(p+u,s,t).sub(g),r,u):Pt(n,r,u),m||(m=y.add(e)),d=zt(p,e,g,a,o,m,r,s,t),b.push(m),w=d.sub(m)}x=w.mag()}const T=(_-v)/x,k=w._mult(T)._add(m||y),A=h+Math.atan2(g.y-y.y,g.x-y.x);return b.push(k),{point:k,angle:l?A:0,path:b}}const Dt=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function Rt(t,e){for(let r=0;r<t;r++){const t=e.length;e.resize(t+4),e.float32.set(Dt,3*t)}}const Ft=100;class Bt{constructor(t,e,r=new xt(t.width+200,t.height+200,25),n=new xt(t.width+200,t.height+200,25)){this.transform=t,this.mapProjection=e,this.grid=r,this.ignoredGrid=n,this.pitchFactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+Ft,this.screenBottomBoundary=t.height+Ft,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200,this.perspectiveRatioCutoff=.6}placeCollisionBox(t,e,r,n,i,a,o,s,l,c,u){const h=t.anchorPointX+s[0],f=t.anchorPointY+s[1],p=this.projectAndGetPerspectiveRatio(n,h,f,i,c),d=this._projectCollisionBox(t,r,n,i,a,o,s,p,c,u),[m,g,y,v]=d.box;return this.mapProjection.useSpecialProjectionForSymbols&&(a?d.allPointsOccluded:this.mapProjection.isOccluded(h,f,i))||p.perspectiveRatio<this.perspectiveRatioCutoff||!this.isInsideGrid(m,g,y,v)||\"always\"!==e&&this.grid.hitTest(m,g,y,v,e,l)?{box:[m,g,y,v],placeable:!1,offscreen:!1}:{box:[m,g,y,v],placeable:!0,offscreen:this.isOffscreen(m,g,y,v)}}placeCollisionCircles(t,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g){const y=[],v=new e.P(r.anchorX,r.anchorY),x=this.getPerspectiveRatio(o,v.x,v.y,s,g),_=(h?a/x:a*x)/e.aq,b=r.lineOffsetX*_,w=r.lineOffsetY*_,T={getElevation:g,labelPlaneMatrix:l,lineVertexArray:n,pitchWithMap:h,projectionCache:{projections:{},offsets:{},cachedAnchorPoint:void 0,anyProjectionOccluded:!1},projection:this.mapProjection,tileAnchorPoint:v,unwrappedTileID:s,width:this.transform.width,height:this.transform.height,translation:m},k=Mt(_,i,b,w,!1,r,!1,T);let A=!1,M=!1,S=!0;if(k){const r=.5*p*x+d,n=new e.P(-100,-100),i=new e.P(this.screenRightBoundary,this.screenBottomBoundary),a=new yt,o=k.first,s=k.last;let l=[];for(let t=o.path.length-1;t>=1;t--)l.push(o.path[t]);for(let t=1;t<s.path.length;t++)l.push(s.path[t]);const h=2.5*r;if(c){const t=this.projectPathToScreenSpace(l,T,c);l=t.some((t=>t.signedDistanceFromCamera<=0))?[]:t.map((t=>t.point))}let m=[];if(l.length>0){const t=l[0].clone(),r=l[0].clone();for(let e=1;e<l.length;e++)t.x=Math.min(t.x,l[e].x),t.y=Math.min(t.y,l[e].y),r.x=Math.max(r.x,l[e].x),r.y=Math.max(r.y,l[e].y);m=t.x>=n.x&&r.x<=i.x&&t.y>=n.y&&r.y<=i.y?[l]:r.x<n.x||t.x>i.x||r.y<n.y||t.y>i.y?[]:e.am([l],n.x,n.y,i.x,i.y)}for(const e of m){a.reset(e,.25*r);let n=0;n=a.length<=.5*r?1:Math.ceil(a.paddedLength/h)+1;for(let e=0;e<n;e++){const i=e/Math.max(n-1,1),o=a.lerp(i),s=o.x+Ft,l=o.y+Ft;y.push(s,l,r,0);const c=s-r,h=l-r,p=s+r,d=l+r;if(S=S&&this.isOffscreen(c,h,p,d),M=M||this.isInsideGrid(c,h,p,d),\"always\"!==t&&this.grid.hitTestCircle(s,l,r,t,f)&&(A=!0,!u))return{circles:[],offscreen:!1,collisionDetected:A}}}}return{circles:!u&&A||!M||x<this.perspectiveRatioCutoff?[]:y,offscreen:S,collisionDetected:A}}projectPathToScreenSpace(t,e,r){return t.map((t=>wt(t,r,e.getElevation)))}queryRenderedSymbols(t){if(0===t.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};const r=[];let n=1/0,i=1/0,a=-1/0,o=-1/0;for(const s of t){const t=new e.P(s.x+Ft,s.y+Ft);n=Math.min(n,t.x),i=Math.min(i,t.y),a=Math.max(a,t.x),o=Math.max(o,t.y),r.push(t)}const s=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o)),l={},c={};for(const t of s){const n=t.key;if(void 0===l[n.bucketInstanceId]&&(l[n.bucketInstanceId]={}),l[n.bucketInstanceId][n.featureIndex])continue;const i=[new e.P(t.x1,t.y1),new e.P(t.x2,t.y1),new e.P(t.x2,t.y2),new e.P(t.x1,t.y2)];e.an(r,i)&&(l[n.bucketInstanceId][n.featureIndex]=!0,void 0===c[n.bucketInstanceId]&&(c[n.bucketInstanceId]=[]),c[n.bucketInstanceId].push(n.featureIndex))}return c}insertCollisionBox(t,e,r,n,i,a){const o={bucketInstanceId:n,featureIndex:i,collisionGroupID:a,overlapMode:e};(r?this.ignoredGrid:this.grid).insert(o,t[0],t[1],t[2],t[3])}insertCollisionCircles(t,e,r,n,i,a){const o=r?this.ignoredGrid:this.grid,s={bucketInstanceId:n,featureIndex:i,collisionGroupID:a,overlapMode:e};for(let e=0;e<t.length;e+=4)o.insertCircle(s,t[e],t[e+1],t[e+2])}projectAndGetPerspectiveRatio(t,r,n,i,a){const o=this.mapProjection.useSpecialProjectionForSymbols?this.mapProjection.projectTileCoordinates(r,n,i,a):wt(new e.P(r,n),t,a);return{point:new e.P((o.point.x+1)/2*this.transform.width+Ft,(1-o.point.y)/2*this.transform.height+Ft),perspectiveRatio:.5+this.transform.cameraToCenterDistance/o.signedDistanceFromCamera*.5,isOccluded:o.isOccluded,signedDistanceFromCamera:o.signedDistanceFromCamera}}getPerspectiveRatio(t,r,n,i,a){const o=this.mapProjection.useSpecialProjectionForSymbols?this.mapProjection.projectTileCoordinates(r,n,i,a):wt(new e.P(r,n),t,a);return.5+this.transform.cameraToCenterDistance/o.signedDistanceFromCamera*.5}isOffscreen(t,e,r,n){return r<Ft||t>=this.screenRightBoundary||n<Ft||e>this.screenBottomBoundary}isInsideGrid(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary}getViewportMatrix(){const t=e.ao([]);return e.J(t,t,[-100,-100,0]),t}_projectCollisionBox(t,r,n,i,a,o,s,l,c,u){const h=r*l.perspectiveRatio;let f=new e.P(1,0),p=new e.P(0,1);const d=new e.P(t.anchorPointX+s[0],t.anchorPointY+s[1]);if(o&&!a){const t=this.projectAndGetPerspectiveRatio(n,d.x+1,d.y,i,c).point.sub(l.point).unit(),r=Math.atan(t.y/t.x)+(t.x<0?Math.PI:0),a=Math.sin(r),o=Math.cos(r);f=new e.P(o,a),p=new e.P(-a,o)}else if(!o&&a){const t=-this.transform.angle,r=Math.sin(t),n=Math.cos(t);f=new e.P(n,r),p=new e.P(-r,n)}let m=l.point,g=h;if(a){m=d;const t=this.transform.zoom-Math.floor(this.transform.zoom);if(g=Math.pow(2,-t),g*=this.mapProjection.getPitchedTextCorrection(this.transform,d,i),!u){const t=l.signedDistanceFromCamera/this.transform.cameraToCenterDistance;g*=e.ad(.5+.5*t,0,4)}}u&&(m=m.add(f.mult(u.x*g)).add(p.mult(u.y*g)));const y=t.x1*g,v=t.x2*g,x=(y+v)/2,_=t.y1*g,b=t.y2*g,w=(_+b)/2,T=[{offsetX:y,offsetY:_},{offsetX:x,offsetY:_},{offsetX:v,offsetY:_},{offsetX:v,offsetY:w},{offsetX:v,offsetY:b},{offsetX:x,offsetY:b},{offsetX:y,offsetY:b},{offsetX:y,offsetY:w}];let k=[];for(const{offsetX:t,offsetY:r}of T)k.push(new e.P(m.x+f.x*t+p.x*r,m.y+f.y*t+p.y*r));let A=!1;if(a){const t=k.map((t=>this.projectAndGetPerspectiveRatio(n,t.x,t.y,i,c)));A=t.some((t=>!t.isOccluded)),k=t.map((t=>t.point))}else A=!0;return{box:e.ap(k),allPointsOccluded:!A}}}function Nt(t,r,n){return r*(e.X/(t.tileSize*Math.pow(2,n-t.tileID.overscaledZ)))}class jt{constructor(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r}isHidden(){return 0===this.opacity&&!this.placed}}class Ut{constructor(t,e,r,n,i){this.text=new jt(t?t.text:null,e,r,i),this.icon=new jt(t?t.icon:null,e,n,i)}isHidden(){return this.text.isHidden()&&this.icon.isHidden()}}class Vt{constructor(t,e,r){this.text=t,this.icon=e,this.skipFade=r}}class qt{constructor(){this.invProjMatrix=e.H(),this.viewportMatrix=e.H(),this.circles=[]}}class Ht{constructor(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i}}class Gt{constructor(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}}get(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){const e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:t=>t.collisionGroupID===e}}return this.collisionGroups[t]}}function Zt(t,r,n,i,a){const{horizontalAlign:o,verticalAlign:s}=e.av(t),l=-(o-.5)*r,c=-(s-.5)*n;return new e.P(l+i[0]*a,c+i[1]*a)}class Wt{constructor(t,e,r,n,i,a){this.transform=t.clone(),this.terrain=r,this.collisionIndex=new Bt(this.transform,e),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=n,this.retainedQueryData={},this.collisionGroups=new Gt(i),this.collisionCircleArrays={},this.collisionBoxArrays=new Map,this.prevPlacement=a,a&&(a.prevPlacement=void 0),this.placedOrientations={}}_getTerrainElevationFunc(t){const e=this.terrain;return e?(r,n)=>e.getElevation(t,r,n):null}getBucketParts(t,r,n,i){const a=n.getBucket(r),o=n.latestFeatureIndex;if(!a||!o||r.id!==a.layerIds[0])return;const s=n.collisionBoxArray,l=a.layers[0].layout,c=a.layers[0].paint,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),h=n.tileSize/e.X,f=n.tileID.toUnwrapped(),p=this.transform.calculatePosMatrix(f),d=\"map\"===l.get(\"text-pitch-alignment\"),m=\"map\"===l.get(\"text-rotation-alignment\"),g=Nt(n,1,this.transform.zoom),y=this.collisionIndex.mapProjection.translatePosition(this.transform,n,c.get(\"text-translate\"),c.get(\"text-translate-anchor\")),v=this.collisionIndex.mapProjection.translatePosition(this.transform,n,c.get(\"icon-translate\"),c.get(\"icon-translate-anchor\")),x=_t(p,d,m,this.transform,g);let _=null;if(d){const t=bt(p,d,m,this.transform,g);_=e.L([],this.transform.labelPlaneMatrix,t)}this.retainedQueryData[a.bucketInstanceId]=new Ht(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);const b={bucket:a,layout:l,translationText:y,translationIcon:v,posMatrix:p,unwrappedTileID:f,textLabelPlaneMatrix:x,labelToScreenMatrix:_,scale:u,textPixelRatio:h,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:e.ah(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(const e of a.sortKeyRanges){const{sortKey:r,symbolInstanceStart:n,symbolInstanceEnd:i}=e;t.push({sortKey:r,symbolInstanceStart:n,symbolInstanceEnd:i,parameters:b})}else t.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:b})}attemptAnchorPlacement(t,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x){const _=e.ar[t.textAnchor],b=[t.textOffset0,t.textOffset1],w=Zt(_,n,i,b,a),T=this.collisionIndex.placeCollisionBox(r,f,l,c,u,s,o,g,h.predicate,x,w);if((!v||this.collisionIndex.placeCollisionBox(v,f,l,c,u,s,o,y,h.predicate,x,w).placeable)&&T.placeable){let t;if(this.prevPlacement&&this.prevPlacement.variableOffsets[p.crossTileID]&&this.prevPlacement.placements[p.crossTileID]&&this.prevPlacement.placements[p.crossTileID].text&&(t=this.prevPlacement.variableOffsets[p.crossTileID].anchor),0===p.crossTileID)throw new Error(\"symbolInstance.crossTileID can't be 0\");return this.variableOffsets[p.crossTileID]={textOffset:b,width:n,height:i,anchor:_,textBoxScale:a,prevAnchor:t},this.markUsedJustification(d,_,p,m),d.allowVerticalPlacement&&(this.markUsedOrientation(d,m,p),this.placedOrientations[p.crossTileID]=m),{shift:w,placedGlyphBoxes:T}}}placeLayerBucketPart(t,r,n){const{bucket:i,layout:a,translationText:o,translationIcon:s,posMatrix:l,unwrappedTileID:c,textLabelPlaneMatrix:u,labelToScreenMatrix:h,textPixelRatio:f,holdingForFade:p,collisionBoxArray:d,partiallyEvaluatedTextSize:m,collisionGroup:g}=t.parameters,y=a.get(\"text-optional\"),v=a.get(\"icon-optional\"),x=e.as(a,\"text-overlap\",\"text-allow-overlap\"),_=\"always\"===x,b=e.as(a,\"icon-overlap\",\"icon-allow-overlap\"),w=\"always\"===b,T=\"map\"===a.get(\"text-rotation-alignment\"),k=\"map\"===a.get(\"text-pitch-alignment\"),A=\"none\"!==a.get(\"icon-text-fit\"),M=\"viewport-y\"===a.get(\"symbol-z-order\"),S=_&&(w||!i.hasIconData()||v),E=w&&(_||!i.hasTextData()||y);!i.collisionArrays&&d&&i.deserializeCollisionBoxes(d);const C=this.retainedQueryData[i.bucketInstanceId].tileID,L=this._getTerrainElevationFunc(C),I=(t,d,w)=>{var M,C;if(r[t.crossTileID])return;if(p)return void(this.placements[t.crossTileID]=new Vt(!1,!1,!1));let I=!1,P=!1,z=!0,O=null,D={box:null,placeable:!1,offscreen:null},R={box:null,placeable:!1,offscreen:null},F=null,B=null,N=null,j=0,U=0,V=0;d.textFeatureIndex?j=d.textFeatureIndex:t.useRuntimeCollisionCircles&&(j=t.featureIndex),d.verticalTextFeatureIndex&&(U=d.verticalTextFeatureIndex);const q=d.textBox;if(q){const r=r=>{let n=e.ai.horizontal;if(i.allowVerticalPlacement&&!r&&this.prevPlacement){const e=this.prevPlacement.placedOrientations[t.crossTileID];e&&(this.placedOrientations[t.crossTileID]=e,n=e,this.markUsedOrientation(i,n,t))}return n},a=(r,n)=>{if(i.allowVerticalPlacement&&t.numVerticalGlyphVertices>0&&d.verticalTextBox){for(const t of i.writingModes)if(t===e.ai.vertical?(D=n(),R=D):D=r(),D&&D.placeable)break}else D=r()},u=t.textAnchorOffsetStartIndex,h=t.textAnchorOffsetEndIndex;if(h===u){const n=(e,r)=>{const n=this.collisionIndex.placeCollisionBox(e,x,f,l,c,k,T,o,g.predicate,L);return n&&n.placeable&&(this.markUsedOrientation(i,r,t),this.placedOrientations[t.crossTileID]=r),n};a((()=>n(q,e.ai.horizontal)),(()=>{const r=d.verticalTextBox;return i.allowVerticalPlacement&&t.numVerticalGlyphVertices>0&&r?n(r,e.ai.vertical):{box:null,offscreen:null}})),r(D&&D.placeable)}else{let p=e.ar[null===(C=null===(M=this.prevPlacement)||void 0===M?void 0:M.variableOffsets[t.crossTileID])||void 0===C?void 0:C.anchor];const m=(r,a,d)=>{const m=r.x2-r.x1,y=r.y2-r.y1,v=t.textBoxScale,_=A&&\"never\"===b?a:null;let w=null,M=\"never\"===x?1:2,S=\"never\";p&&M++;for(let e=0;e<M;e++){for(let e=u;e<h;e++){const n=i.textAnchorOffsets.get(e);if(p&&n.textAnchor!==p)continue;const a=this.attemptAnchorPlacement(n,r,m,y,v,T,k,f,l,c,g,S,t,i,d,o,s,_,L);if(a&&(w=a.placedGlyphBoxes,w&&w.placeable))return I=!0,O=a.shift,w}p?p=null:S=x}return n&&!w&&(w={box:this.collisionIndex.placeCollisionBox(q,\"always\",f,l,c,k,T,o,g.predicate,L,new e.P(0,0)).box,offscreen:!1,placeable:!1}),w};a((()=>m(q,d.iconBox,e.ai.horizontal)),(()=>{const r=d.verticalTextBox,n=D&&D.placeable;return i.allowVerticalPlacement&&!n&&t.numVerticalGlyphVertices>0&&r?m(r,d.verticalIconBox,e.ai.vertical):{box:null,occluded:!0,offscreen:null}})),D&&(I=D.placeable,z=D.offscreen);const y=r(D&&D.placeable);if(!I&&this.prevPlacement){const e=this.prevPlacement.variableOffsets[t.crossTileID];e&&(this.variableOffsets[t.crossTileID]=e,this.markUsedJustification(i,e.anchor,t,y))}}}if(F=D,I=F&&F.placeable,z=F&&F.offscreen,t.useRuntimeCollisionCircles){const r=i.text.placedSymbolArray.get(t.centerJustifiedTextSymbolIndex),s=e.aj(i.textSizeData,m,r),f=a.get(\"text-padding\"),p=t.collisionCircleDiameter;B=this.collisionIndex.placeCollisionCircles(x,r,i.lineVertexArray,i.glyphOffsetArray,s,l,c,u,h,n,k,g.predicate,p,f,o,L),B.circles.length&&B.collisionDetected&&!n&&e.w(\"Collisions detected, but collision boxes are not shown\"),I=_||B.circles.length>0&&!B.collisionDetected,z=z&&B.offscreen}if(d.iconFeatureIndex&&(V=d.iconFeatureIndex),d.iconBox){const t=t=>this.collisionIndex.placeCollisionBox(t,b,f,l,c,k,T,s,g.predicate,L,A&&O?O:void 0);R&&R.placeable&&d.verticalIconBox?(N=t(d.verticalIconBox),P=N.placeable):(N=t(d.iconBox),P=N.placeable),z=z&&N.offscreen}const H=y||0===t.numHorizontalGlyphVertices&&0===t.numVerticalGlyphVertices,G=v||0===t.numIconVertices;H||G?G?H||(P=P&&I):I=P&&I:P=I=P&&I;const Z=I&&F.placeable,W=P&&N.placeable;if(Z&&(R&&R.placeable&&U?this.collisionIndex.insertCollisionBox(F.box,x,a.get(\"text-ignore-placement\"),i.bucketInstanceId,U,g.ID):this.collisionIndex.insertCollisionBox(F.box,x,a.get(\"text-ignore-placement\"),i.bucketInstanceId,j,g.ID)),W&&this.collisionIndex.insertCollisionBox(N.box,b,a.get(\"icon-ignore-placement\"),i.bucketInstanceId,V,g.ID),B&&I&&this.collisionIndex.insertCollisionCircles(B.circles,x,a.get(\"text-ignore-placement\"),i.bucketInstanceId,j,g.ID),n&&this.storeCollisionData(i.bucketInstanceId,w,d,F,N,B),0===t.crossTileID)throw new Error(\"symbolInstance.crossTileID can't be 0\");if(0===i.bucketInstanceId)throw new Error(\"bucket.bucketInstanceId can't be 0\");this.placements[t.crossTileID]=new Vt(I||S,P||E,z||i.justReloaded),r[t.crossTileID]=!0};if(M){if(0!==t.symbolInstanceStart)throw new Error(\"bucket.bucketInstanceId should be 0\");const e=i.getSortedSymbolIndexes(this.transform.angle);for(let t=e.length-1;t>=0;--t){const r=e[t];I(i.symbolInstances.get(r),i.collisionArrays[r],r)}}else for(let e=t.symbolInstanceStart;e<t.symbolInstanceEnd;e++)I(i.symbolInstances.get(e),i.collisionArrays[e],e);if(n&&i.bucketInstanceId in this.collisionCircleArrays){const t=this.collisionCircleArrays[i.bucketInstanceId];e.at(t.invProjMatrix,l),t.viewportMatrix=this.collisionIndex.getViewportMatrix()}i.justReloaded=!1}storeCollisionData(t,e,r,n,i,a){if(r.textBox||r.iconBox){let a,o;this.collisionBoxArrays.has(t)?a=this.collisionBoxArrays.get(t):(a=new Map,this.collisionBoxArrays.set(t,a)),a.has(e)?o=a.get(e):(o={text:null,icon:null},a.set(e,o)),r.textBox&&(o.text=n.box),r.iconBox&&(o.icon=i.box)}if(a){let e=this.collisionCircleArrays[t];void 0===e&&(e=this.collisionCircleArrays[t]=new qt);for(let t=0;t<a.circles.length;t+=4)e.circles.push(a.circles[t+0]),e.circles.push(a.circles[t+1]),e.circles.push(a.circles[t+2]),e.circles.push(a.collisionDetected?1:0)}}markUsedJustification(t,r,n,i){const a={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};let o;o=i===e.ai.vertical?n.verticalPlacedTextSymbolIndex:a[e.au(r)];const s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];for(const e of s)e>=0&&(t.text.placedSymbolArray.get(e).crossTileID=o>=0&&e!==o?0:n.crossTileID)}markUsedOrientation(t,r,n){const i=r===e.ai.horizontal||r===e.ai.horizontalOnly?r:0,a=r===e.ai.vertical?r:0,o=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];for(const e of o)t.text.placedSymbolArray.get(e).placedOrientation=i;n.verticalPlacedTextSymbolIndex&&(t.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)}commit(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;const e=this.prevPlacement;let r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;const n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(const t in this.placements){const e=this.placements[t],a=i[t];a?(this.opacities[t]=new Ut(a,n,e.text,e.icon),r=r||e.text!==a.text.placed||e.icon!==a.icon.placed):(this.opacities[t]=new Ut(null,n,e.text,e.icon,e.skipFade),r=r||e.text||e.icon)}for(const t in i){const e=i[t];if(!this.opacities[t]){const i=new Ut(e,n,!1,!1);i.isHidden()||(this.opacities[t]=i,r=r||e.text.placed||e.icon.placed)}}for(const t in a)this.variableOffsets[t]||!this.opacities[t]||this.opacities[t].isHidden()||(this.variableOffsets[t]=a[t]);for(const t in o)this.placedOrientations[t]||!this.opacities[t]||this.opacities[t].isHidden()||(this.placedOrientations[t]=o[t]);if(e&&void 0===e.lastPlacementChangeTime)throw new Error(\"Last placement time for previous placement is not defined\");r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)}updateLayerOpacities(t,e){const r={};for(const n of e){const e=n.getBucket(t);e&&n.latestFeatureIndex&&t.id===e.layerIds[0]&&this.updateBucketOpacities(e,n.tileID,r,n.collisionBoxArray)}}updateBucketOpacities(t,r,n,i){t.hasTextData()&&(t.text.opacityVertexArray.clear(),t.text.hasVisibleVertices=!1),t.hasIconData()&&(t.icon.opacityVertexArray.clear(),t.icon.hasVisibleVertices=!1),t.hasIconCollisionBoxData()&&t.iconCollisionBox.collisionVertexArray.clear(),t.hasTextCollisionBoxData()&&t.textCollisionBox.collisionVertexArray.clear();const a=t.layers[0],o=a.layout,s=new Ut(null,0,!1,!1,!0),l=o.get(\"text-allow-overlap\"),c=o.get(\"icon-allow-overlap\"),u=a._unevaluatedLayout.hasValue(\"text-variable-anchor\")||a._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"),h=\"map\"===o.get(\"text-rotation-alignment\"),f=\"map\"===o.get(\"text-pitch-alignment\"),p=\"none\"!==o.get(\"icon-text-fit\"),d=new Ut(null,0,l&&(c||!t.hasIconData()||o.get(\"icon-optional\")),c&&(l||!t.hasTextData()||o.get(\"text-optional\")),!0);!t.collisionArrays&&i&&(t.hasIconCollisionBoxData()||t.hasTextCollisionBoxData())&&t.deserializeCollisionBoxes(i);const m=(t,e,r)=>{for(let n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r);t.hasVisibleVertices=t.hasVisibleVertices||r!==ne},g=this.collisionBoxArrays.get(t.bucketInstanceId);for(let r=0;r<t.symbolInstances.length;r++){const i=t.symbolInstances.get(r),{numHorizontalGlyphVertices:a,numVerticalGlyphVertices:o,crossTileID:l}=i,c=n[l];let y=this.opacities[l];c?y=s:y||(y=d,this.opacities[l]=y),n[l]=!0;const v=a>0||o>0,x=i.numIconVertices>0,_=this.placedOrientations[i.crossTileID],b=_===e.ai.vertical,w=_===e.ai.horizontal||_===e.ai.horizontalOnly;if(v){const e=re(y.text),r=b?ne:e;m(t.text,a,r);const n=w?ne:e;m(t.text,o,n);const s=y.text.isHidden();[i.rightJustifiedTextSymbolIndex,i.centerJustifiedTextSymbolIndex,i.leftJustifiedTextSymbolIndex].forEach((e=>{e>=0&&(t.text.placedSymbolArray.get(e).hidden=s||b?1:0)})),i.verticalPlacedTextSymbolIndex>=0&&(t.text.placedSymbolArray.get(i.verticalPlacedTextSymbolIndex).hidden=s||w?1:0);const l=this.variableOffsets[i.crossTileID];l&&this.markUsedJustification(t,l.anchor,i,_);const c=this.placedOrientations[i.crossTileID];c&&(this.markUsedJustification(t,\"left\",i,c),this.markUsedOrientation(t,c,i))}if(x){const e=re(y.icon),r=!(p&&i.verticalPlacedIconSymbolIndex&&b);if(i.placedIconSymbolIndex>=0){const n=r?e:ne;m(t.icon,i.numIconVertices,n),t.icon.placedSymbolArray.get(i.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(i.verticalPlacedIconSymbolIndex>=0){const n=r?ne:e;m(t.icon,i.numVerticalIconVertices,n),t.icon.placedSymbolArray.get(i.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}const T=g&&g.has(r)?g.get(r):{text:null,icon:null};if(t.hasIconCollisionBoxData()||t.hasTextCollisionBoxData()){const n=t.collisionArrays[r];if(n){let r=new e.P(0,0);if(n.textBox||n.verticalTextBox){let e=!0;if(u){const t=this.variableOffsets[l];t?(r=Zt(t.anchor,t.width,t.height,t.textOffset,t.textBoxScale),h&&r._rotate(f?this.transform.angle:-this.transform.angle)):e=!1}if(n.textBox||n.verticalTextBox){let i;n.textBox&&(i=b),n.verticalTextBox&&(i=w),Yt(t.textCollisionBox.collisionVertexArray,y.text.placed,!e||i,T.text,r.x,r.y)}}if(n.iconBox||n.verticalIconBox){const e=Boolean(!w&&n.verticalIconBox);let i;n.iconBox&&(i=e),n.verticalIconBox&&(i=!e),Yt(t.iconCollisionBox.collisionVertexArray,y.icon.placed,i,T.icon,p?r.x:0,p?r.y:0)}}}}if(t.sortFeatures(this.transform.angle),this.retainedQueryData[t.bucketInstanceId]&&(this.retainedQueryData[t.bucketInstanceId].featureSortOrder=t.featureSortOrder),t.hasTextData()&&t.text.opacityVertexBuffer&&t.text.opacityVertexBuffer.updateData(t.text.opacityVertexArray),t.hasIconData()&&t.icon.opacityVertexBuffer&&t.icon.opacityVertexBuffer.updateData(t.icon.opacityVertexArray),t.hasIconCollisionBoxData()&&t.iconCollisionBox.collisionVertexBuffer&&t.iconCollisionBox.collisionVertexBuffer.updateData(t.iconCollisionBox.collisionVertexArray),t.hasTextCollisionBoxData()&&t.textCollisionBox.collisionVertexBuffer&&t.textCollisionBox.collisionVertexBuffer.updateData(t.textCollisionBox.collisionVertexArray),t.text.opacityVertexArray.length!==t.text.layoutVertexArray.length/4)throw new Error(`bucket.text.opacityVertexArray.length (= ${t.text.opacityVertexArray.length}) !== bucket.text.layoutVertexArray.length (= ${t.text.layoutVertexArray.length}) / 4`);if(t.icon.opacityVertexArray.length!==t.icon.layoutVertexArray.length/4)throw new Error(`bucket.icon.opacityVertexArray.length (= ${t.icon.opacityVertexArray.length}) !== bucket.icon.layoutVertexArray.length (= ${t.icon.layoutVertexArray.length}) / 4`);if(t.bucketInstanceId in this.collisionCircleArrays){const e=this.collisionCircleArrays[t.bucketInstanceId];t.placementInvProjMatrix=e.invProjMatrix,t.placementViewportMatrix=e.viewportMatrix,t.collisionCircleArray=e.circles,delete this.collisionCircleArrays[t.bucketInstanceId]}}symbolFadeChange(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment}zoomAdjustment(t){return Math.max(0,(this.transform.zoom-t)/1.5)}hasTransitions(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration}stillRecent(t,e){const r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t}setStale(){this.stale=!0}}function Yt(t,e,r,n,i,a){n&&0!==n.length||(n=[0,0,0,0]);const o=n[0]-Ft,s=n[1]-Ft,l=n[2]-Ft,c=n[3]-Ft;t.emplaceBack(e?1:0,r?1:0,i||0,a||0,o,s),t.emplaceBack(e?1:0,r?1:0,i||0,a||0,l,s),t.emplaceBack(e?1:0,r?1:0,i||0,a||0,l,c),t.emplaceBack(e?1:0,r?1:0,i||0,a||0,o,c)}const Xt=Math.pow(2,25),$t=Math.pow(2,24),Jt=Math.pow(2,17),Kt=Math.pow(2,16),Qt=Math.pow(2,9),te=Math.pow(2,8),ee=Math.pow(2,1);function re(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;const e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Xt+e*$t+r*Jt+e*Kt+r*Qt+e*te+r*ee+e}const ne=0;function ie(){return{isOccluded(t,e,r){return!1},getPitchedTextCorrection(t,e,r){return 1},get useSpecialProjectionForSymbols(){return!1},projectTileCoordinates(t,e,r,n){throw new Error(\"Not implemented.\")},translatePosition(t,e,r,n){return function(t,e,r,n,i=!1){if(!r[0]&&!r[1])return[0,0];const a=i?\"map\"===n?t.angle:0:\"viewport\"===n?-t.angle:0;if(a){const t=Math.sin(a),e=Math.cos(a);r=[r[0]*e-r[1]*t,r[0]*t+r[1]*e]}return[i?r[0]:Nt(e,r[0],t.zoom),i?r[1]:Nt(e,r[1],t.zoom)]}(t,e,r,n)},getCircleRadiusCorrection(t){return 1}}}class ae{constructor(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&!t.layout.get(\"symbol-sort-key\").isConstant(),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]}continuePlacement(t,e,r,n,i){const a=this._bucketParts;for(;this._currentTileIndex<t.length;){const r=t[this._currentTileIndex];if(e.getBucketParts(a,n,r,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort(((t,e)=>t.sortKey-e.sortKey)));this._currentPartIndex<a.length;){const t=a[this._currentPartIndex];if(e.placeLayerBucketPart(t,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1}}class oe{constructor(t,e,r,n,i,a,o,s){this.placement=new Wt(t,ie(),e,a,o,s),this._currentPlacementIndex=r.length-1,this._forceFullPlacement=n,this._showCollisionBoxes=i,this._done=!1}isDone(){return this._done}continuePlacement(t,e,r){const n=a.now(),i=()=>!this._forceFullPlacement&&a.now()-n>2;for(;this._currentPlacementIndex>=0;){const n=e[t[this._currentPlacementIndex]],a=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===n.type&&(!n.minzoom||n.minzoom<=a)&&(!n.maxzoom||n.maxzoom>a)){if(this._inProgressLayer||(this._inProgressLayer=new ae(n)),this._inProgressLayer.continuePlacement(r[n.source],this.placement,this._showCollisionBoxes,n,i))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0}commit(t){return this.placement.commit(t),this.placement}}const se=512/e.X/2;class le{constructor(t,r,n){this.tileID=t,this.bucketInstanceId=n,this._symbolsByKey={};const i=new Map;for(let t=0;t<r.length;t++){const e=r.get(t),n=e.key,a=i.get(n);a?a.push(e):i.set(n,[e])}for(const[t,r]of i){const n={positions:r.map((t=>({x:Math.floor(t.anchorX*se),y:Math.floor(t.anchorY*se)}))),crossTileIDs:r.map((t=>t.crossTileID))};if(n.positions.length>128){const t=new e.aw(n.positions.length,16,Uint16Array);for(const{x:e,y:r}of n.positions)t.add(e,r);t.finish(),delete n.positions,n.index=t}this._symbolsByKey[t]=n}}getScaledCoordinates(t,r){const{x:n,y:i,z:a}=this.tileID.canonical,{x:o,y:s,z:l}=r.canonical,c=l-a,u=se/Math.pow(2,c),h=(o*e.X+t.anchorX)*u,f=(s*e.X+t.anchorY)*u,p=n*e.X*se,d=i*e.X*se;return{x:Math.floor(h-p),y:Math.floor(f-d)}}findMatches(t,e,r){const n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z);for(let i=0;i<t.length;i++){const a=t.get(i);if(a.crossTileID)continue;const o=this._symbolsByKey[a.key];if(!o)continue;const s=this.getScaledCoordinates(a,e);if(o.index){const t=o.index.range(s.x-n,s.y-n,s.x+n,s.y+n).sort();for(const e of t){const t=o.crossTileIDs[e];if(!r[t]){r[t]=!0,a.crossTileID=t;break}}}else if(o.positions)for(let t=0;t<o.positions.length;t++){const e=o.positions[t],i=o.crossTileIDs[t];if(Math.abs(e.x-s.x)<=n&&Math.abs(e.y-s.y)<=n&&!r[i]){r[i]=!0,a.crossTileID=i;break}}}}getCrossTileIDsLists(){return Object.values(this._symbolsByKey).map((({crossTileIDs:t})=>t))}}class ce{constructor(){this.maxCrossTileID=0}generate(){return++this.maxCrossTileID}}class ue{constructor(){this.indexes={},this.usedCrossTileIDs={},this.lng=0}handleWrapJump(t){const e=Math.round((t-this.lng)/360);if(0!==e)for(const t in this.indexes){const r=this.indexes[t],n={};for(const t in r){const i=r[t];i.tileID=i.tileID.unwrapTo(i.tileID.wrap+e),n[i.tileID.key]=i}this.indexes[t]=n}this.lng=t}addBucket(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(let t=0;t<e.symbolInstances.length;t++)e.symbolInstances.get(t).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});const n=this.usedCrossTileIDs[t.overscaledZ];for(const r in this.indexes){const i=this.indexes[r];if(Number(r)>t.overscaledZ)for(const r in i){const a=i[r];a.tileID.isChildOf(t)&&a.findMatches(e.symbolInstances,t,n)}else{const a=i[t.scaledTo(Number(r)).key];a&&a.findMatches(e.symbolInstances,t,n)}}for(let t=0;t<e.symbolInstances.length;t++){const i=e.symbolInstances.get(t);i.crossTileID||(i.crossTileID=r.generate(),n[i.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new le(t,e.symbolInstances,e.bucketInstanceId),!0}removeBucketCrossTileIDs(t,e){for(const r of e.getCrossTileIDsLists())for(const e of r)delete this.usedCrossTileIDs[t][e]}removeStaleBuckets(t){let e=!1;for(const r in this.indexes){const n=this.indexes[r];for(const i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e}}class he{constructor(){this.layerIndexes={},this.crossTileIDs=new ce,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}}addLayer(t,e,r){let n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new ue);let i=!1;const a={};n.handleWrapJump(r);for(const r of e){const e=r.getBucket(t);e&&t.id===e.layerIds[0]&&(e.bucketInstanceId||(e.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(r.tileID,e,this.crossTileIDs)&&(i=!0),a[e.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i}pruneUnusedLayers(t){const e={};t.forEach((t=>{e[t]=!0}));for(const t in this.layerIndexes)e[t]||delete this.layerIndexes[t]}}const fe=(t,r)=>e.t(t,r&&r.filter((t=>\"source.canvas\"!==t.identifier))),pe=e.ax();class de extends e.E{constructor(t,r={}){super(),this._rtlPluginLoaded=()=>{for(const t in this.sourceCaches){const e=this.sourceCaches[t].getSource().type;\"vector\"!==e&&\"geojson\"!==e||this.sourceCaches[t].reload()}},this.map=t,this.dispatcher=new q(V(),t._getMapId()),this.dispatcher.registerMessageHandler(\"GG\",((t,e)=>this.getGlyphs(t,e))),this.dispatcher.registerMessageHandler(\"GI\",((t,e)=>this.getImages(t,e))),this.imageManager=new k,this.imageManager.setEventedParent(this),this.glyphManager=new E(t._requestManager,r.localIdeographFontFamily),this.lineAtlas=new R(256,512),this.crossTileSymbolIndex=new he,this._spritesImagesIds={},this._layers={},this._order=[],this.sourceCaches={},this.zoomHistory=new e.ay,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"SR\",e.az()),ut().on(st,this._rtlPluginLoaded),this.on(\"data\",(t=>{if(\"source\"!==t.dataType||\"metadata\"!==t.sourceDataType)return;const e=this.sourceCaches[t.sourceId];if(!e)return;const r=e.getSource();if(r&&r.vectorLayerIds)for(const t in this._layers){const e=this._layers[t];e.source===r.id&&this._validateLayer(e)}}))}loadURL(t,r={},n){this.fire(new e.k(\"dataloading\",{dataType:\"style\"})),r.validate=\"boolean\"!=typeof r.validate||r.validate;const i=this.map._requestManager.transformRequest(t,\"Style\");this._loadStyleRequest=new AbortController;const a=this._loadStyleRequest;e.h(i,this._loadStyleRequest).then((t=>{this._loadStyleRequest=null,this._load(t.data,r,n)})).catch((t=>{this._loadStyleRequest=null,t&&!a.signal.aborted&&this.fire(new e.j(t))}))}loadJSON(t,r={},n){this.fire(new e.k(\"dataloading\",{dataType:\"style\"})),this._frameRequest=new AbortController,a.frameAsync(this._frameRequest).then((()=>{this._frameRequest=null,r.validate=!1!==r.validate,this._load(t,r,n)})).catch((()=>{}))}loadEmpty(){this.fire(new e.k(\"dataloading\",{dataType:\"style\"})),this._load(pe,{validate:!1})}_load(t,r,n){var i;const a=r.transformStyle?r.transformStyle(n,t):t;if(!r.validate||!fe(this,e.x(a))){this._loaded=!0,this.stylesheet=a;for(const t in a.sources)this.addSource(t,a.sources[t],{validate:!1});a.sprite?this._loadSprite(a.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(a.glyphs),this._createLayers(),this.light=new P(this.stylesheet.light),this.sky=new D(this.stylesheet.sky),this.map.setTerrain(null!==(i=this.stylesheet.terrain)&&void 0!==i?i:null),this.fire(new e.k(\"data\",{dataType:\"style\"})),this.fire(new e.k(\"style.load\"))}}_createLayers(){const t=e.aA(this.stylesheet.layers);this.dispatcher.broadcast(\"SL\",t),this._order=t.map((t=>t.id)),this._layers={},this._serializedLayers=null;for(const r of t){const t=e.aB(r);t.setEventedParent(this,{layer:{id:r.id}}),this._layers[r.id]=t}}_loadSprite(t,r=!1,n=void 0){let i;this.imageManager.setLoaded(!1),this._spriteRequest=new AbortController,b(t,this.map._requestManager,this.map.getPixelRatio(),this._spriteRequest).then((t=>{if(this._spriteRequest=null,t)for(const e in t){this._spritesImagesIds[e]=[];const n=this._spritesImagesIds[e]?this._spritesImagesIds[e].filter((e=>!(e in t))):[];for(const t of n)this.imageManager.removeImage(t),this._changedImages[t]=!0;for(const n in t[e]){const i=\"default\"===e?n:`${e}:${n}`;this._spritesImagesIds[e].push(i),i in this.imageManager.images?this.imageManager.updateImage(i,t[e][n],!1):this.imageManager.addImage(i,t[e][n]),r&&(this._changedImages[i]=!0)}}})).catch((t=>{this._spriteRequest=null,i=t,this.fire(new e.j(i))})).finally((()=>{this.imageManager.setLoaded(!0),this._availableImages=this.imageManager.listImages(),r&&(this._changed=!0),this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new e.k(\"data\",{dataType:\"style\"})),n&&n(i)}))}_unloadSprite(){for(const t of Object.values(this._spritesImagesIds).flat())this.imageManager.removeImage(t),this._changedImages[t]=!0;this._spritesImagesIds={},this._availableImages=this.imageManager.listImages(),this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new e.k(\"data\",{dataType:\"style\"}))}_validateLayer(t){const r=this.sourceCaches[t.source];if(!r)return;const n=t.sourceLayer;if(!n)return;const i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new e.j(new Error(`Source layer \"${n}\" does not exist on source \"${i.id}\" as specified by style layer \"${t.id}\".`)))}loaded(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(const t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()}_serializeByIds(t){const e=this._serializedAllLayers();if(!t||0===t.length)return Object.values(e);const r=[];for(const n of t)e[n]&&r.push(e[n]);return r}_serializedAllLayers(){let t=this._serializedLayers;if(t)return t;t=this._serializedLayers={};const e=Object.keys(this._layers);for(const r of e){const e=this._layers[r];\"custom\"!==e.type&&(t[r]=e.serialize())}return t}hasTransitions(){if(this.light&&this.light.hasTransition())return!0;if(this.sky&&this.sky.hasTransition())return!0;for(const t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(const t in this._layers)if(this._layers[t].hasTransition())return!0;return!1}_checkLoaded(){if(!this._loaded)throw new Error(\"Style is not done loading.\")}update(t){if(!this._loaded)return;const r=this._changed;if(r){const e=Object.keys(this._updatedLayers),r=Object.keys(this._removedLayers);(e.length||r.length)&&this._updateWorkerLayers(e,r);for(const t in this._updatedSources){const e=this._updatedSources[t];if(\"reload\"===e)this._reloadSource(t);else{if(\"clear\"!==e)throw new Error(`Invalid action ${e}`);this._clearSource(t)}}this._updateTilesForChangedImages(),this._updateTilesForChangedGlyphs();for(const e in this._updatedPaintProps)this._layers[e].updateTransitions(t);this.light.updateTransitions(t),this.sky.updateTransitions(t),this._resetUpdates()}const n={};for(const t in this.sourceCaches){const e=this.sourceCaches[t];n[t]=e.used,e.used=!1}for(const e of this._order){const r=this._layers[e];r.recalculate(t,this._availableImages),!r.isHidden(t.zoom)&&r.source&&(this.sourceCaches[r.source].used=!0)}for(const t in n){const r=this.sourceCaches[t];!!n[t]!=!!r.used&&r.fire(new e.k(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:t}))}this.light.recalculate(t),this.sky.recalculate(t),this.z=t.zoom,r&&this.fire(new e.k(\"data\",{dataType:\"style\"}))}_updateTilesForChangedImages(){const t=Object.keys(this._changedImages);if(t.length){for(const e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}}_updateTilesForChangedGlyphs(){if(this._glyphsDidChange){for(const t in this.sourceCaches)this.sourceCaches[t].reloadTilesForDependencies([\"glyphs\"],[\"\"]);this._glyphsDidChange=!1}}_updateWorkerLayers(t,e){this.dispatcher.broadcast(\"UL\",{layers:this._serializeByIds(t),removedIds:e})}_resetUpdates(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={},this._glyphsDidChange=!1}setState(t,r={}){var n;this._checkLoaded();const i=this.serialize();if(t=r.transformStyle?r.transformStyle(i,t):t,(null===(n=r.validate)||void 0===n||n)&&fe(this,e.x(t)))return!1;(t=e.aC(t)).layers=e.aA(t.layers);const a=e.aD(i,t),o=this._getOperationsToPerform(a);if(o.unimplemented.length>0)throw new Error(`Unimplemented: ${o.unimplemented.join(\", \")}.`);if(0===o.operations.length)return!1;for(const t of o.operations)t();return this.stylesheet=t,this._serializedLayers=null,!0}_getOperationsToPerform(t){const e=[],r=[];for(const n of t)switch(n.command){case\"setCenter\":case\"setZoom\":case\"setBearing\":case\"setPitch\":continue;case\"addLayer\":e.push((()=>this.addLayer.apply(this,n.args)));break;case\"removeLayer\":e.push((()=>this.removeLayer.apply(this,n.args)));break;case\"setPaintProperty\":e.push((()=>this.setPaintProperty.apply(this,n.args)));break;case\"setLayoutProperty\":e.push((()=>this.setLayoutProperty.apply(this,n.args)));break;case\"setFilter\":e.push((()=>this.setFilter.apply(this,n.args)));break;case\"addSource\":e.push((()=>this.addSource.apply(this,n.args)));break;case\"removeSource\":e.push((()=>this.removeSource.apply(this,n.args)));break;case\"setLayerZoomRange\":e.push((()=>this.setLayerZoomRange.apply(this,n.args)));break;case\"setLight\":e.push((()=>this.setLight.apply(this,n.args)));break;case\"setGeoJSONSourceData\":e.push((()=>this.setGeoJSONSourceData.apply(this,n.args)));break;case\"setGlyphs\":e.push((()=>this.setGlyphs.apply(this,n.args)));break;case\"setSprite\":e.push((()=>this.setSprite.apply(this,n.args)));break;case\"setSky\":e.push((()=>this.setSky.apply(this,n.args)));break;case\"setTerrain\":e.push((()=>this.map.setTerrain.apply(this,n.args)));break;case\"setTransition\":e.push((()=>{}));break;default:r.push(n.command)}return{operations:e,unimplemented:r}}addImage(t,r){if(this.getImage(t))return this.fire(new e.j(new Error(`An image named \"${t}\" already exists.`)));this.imageManager.addImage(t,r),this._afterImageUpdated(t)}updateImage(t,e){this.imageManager.updateImage(t,e)}getImage(t){return this.imageManager.getImage(t)}removeImage(t){if(!this.getImage(t))return this.fire(new e.j(new Error(`An image named \"${t}\" does not exist.`)));this.imageManager.removeImage(t),this._afterImageUpdated(t)}_afterImageUpdated(t){this._availableImages=this.imageManager.listImages(),this._changedImages[t]=!0,this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new e.k(\"data\",{dataType:\"style\"}))}listImages(){return this._checkLoaded(),this.imageManager.listImages()}addSource(t,r,n={}){if(this._checkLoaded(),void 0!==this.sourceCaches[t])throw new Error(`Source \"${t}\" already exists.`);if(!r.type)throw new Error(`The type property must be defined, but only the following properties were given: ${Object.keys(r).join(\", \")}.`);if([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(e.x.source,`sources.${t}`,r,null,n))return;this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);const i=this.sourceCaches[t]=new dt(t,r,this.dispatcher);i.style=this,i.setEventedParent(this,(()=>({isSourceLoaded:i.loaded(),source:i.serialize(),sourceId:t}))),i.onAdd(this.map),this._changed=!0}removeSource(t){if(this._checkLoaded(),void 0===this.sourceCaches[t])throw new Error(\"There is no source with this ID\");for(const r in this._layers)if(this._layers[r].source===t)return this.fire(new e.j(new Error(`Source \"${t}\" cannot be removed while layer \"${r}\" is using it.`)));const r=this.sourceCaches[t];delete this.sourceCaches[t],delete this._updatedSources[t],r.fire(new e.k(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:t})),r.setEventedParent(null),r.onRemove(this.map),this._changed=!0}setGeoJSONSourceData(t,e){if(this._checkLoaded(),void 0===this.sourceCaches[t])throw new Error(`There is no source with this ID=${t}`);const r=this.sourceCaches[t].getSource();if(\"geojson\"!==r.type)throw new Error(`geojsonSource.type is ${r.type}, which is !== 'geojson`);r.setData(e),this._changed=!0}getSource(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()}addLayer(t,r,n={}){this._checkLoaded();const i=t.id;if(this.getLayer(i))return void this.fire(new e.j(new Error(`Layer \"${i}\" already exists on this map.`)));let a;if(\"custom\"===t.type){if(fe(this,e.aE(t)))return;a=e.aB(t)}else{if(\"source\"in t&&\"object\"==typeof t.source&&(this.addSource(i,t.source),t=e.aC(t),t=e.e(t,{source:i})),this._validate(e.x.layer,`layers.${i}`,t,{arrayIndex:-1},n))return;a=e.aB(t),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}})}const o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new e.j(new Error(`Cannot add layer \"${i}\" before non-existing layer \"${r}\".`)));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){const t=this._removedLayers[i];delete this._removedLayers[i],t.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}moveLayer(t,r){if(this._checkLoaded(),this._changed=!0,!this._layers[t])return void this.fire(new e.j(new Error(`The layer '${t}' does not exist in the map's style and cannot be moved.`)));if(t===r)return;const n=this._order.indexOf(t);this._order.splice(n,1);const i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new e.j(new Error(`Cannot move layer \"${t}\" before non-existing layer \"${r}\".`))):(this._order.splice(i,0,t),this._layerOrderChanged=!0)}removeLayer(t){this._checkLoaded();const r=this._layers[t];if(!r)return void this.fire(new e.j(new Error(`Cannot remove non-existing layer \"${t}\".`)));r.setEventedParent(null);const n=this._order.indexOf(t);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[t]=r,delete this._layers[t],this._serializedLayers&&delete this._serializedLayers[t],delete this._updatedLayers[t],delete this._updatedPaintProps[t],r.onRemove&&r.onRemove(this.map)}getLayer(t){return this._layers[t]}getLayersOrder(){return[...this._order]}hasLayer(t){return t in this._layers}setLayerZoomRange(t,r,n){this._checkLoaded();const i=this.getLayer(t);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new e.j(new Error(`Cannot set the zoom range of non-existing layer \"${t}\".`)))}setFilter(t,r,n={}){this._checkLoaded();const i=this.getLayer(t);if(i){if(!e.aF(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(e.x.filter,`layers.${i.id}.filter`,r,null,n)||(i.filter=e.aC(r),this._updateLayer(i)))}else this.fire(new e.j(new Error(`Cannot filter non-existing layer \"${t}\".`)))}getFilter(t){return e.aC(this.getLayer(t).filter)}setLayoutProperty(t,r,n,i={}){this._checkLoaded();const a=this.getLayer(t);a?e.aF(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new e.j(new Error(`Cannot style non-existing layer \"${t}\".`)))}getLayoutProperty(t,r){const n=this.getLayer(t);if(n)return n.getLayoutProperty(r);this.fire(new e.j(new Error(`Cannot get style of non-existing layer \"${t}\".`)))}setPaintProperty(t,r,n,i={}){this._checkLoaded();const a=this.getLayer(t);a?e.aF(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[t]=!0,this._serializedLayers=null):this.fire(new e.j(new Error(`Cannot style non-existing layer \"${t}\".`)))}getPaintProperty(t,e){return this.getLayer(t).getPaintProperty(e)}setFeatureState(t,r){this._checkLoaded();const n=t.source,i=t.sourceLayer,a=this.sourceCaches[n];if(void 0===a)return void this.fire(new e.j(new Error(`The source '${n}' does not exist in the map's style.`)));const o=a.getSource().type;\"geojson\"===o&&i?this.fire(new e.j(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===t.id&&this.fire(new e.j(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,t.id,r)):this.fire(new e.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}removeFeatureState(t,r){this._checkLoaded();const n=t.source,i=this.sourceCaches[n];if(void 0===i)return void this.fire(new e.j(new Error(`The source '${n}' does not exist in the map's style.`)));const a=i.getSource().type,o=\"vector\"===a?t.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof t.id&&\"number\"!=typeof t.id?this.fire(new e.j(new Error(\"A feature id is required to remove its specific state property.\"))):i.removeFeatureState(o,t.id,r):this.fire(new e.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}getFeatureState(t){this._checkLoaded();const r=t.source,n=t.sourceLayer,i=this.sourceCaches[r];if(void 0!==i)return\"vector\"!==i.getSource().type||n?(void 0===t.id&&this.fire(new e.j(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,t.id)):void this.fire(new e.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));this.fire(new e.j(new Error(`The source '${r}' does not exist in the map's style.`)))}getTransition(){return e.e({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)}serialize(){if(!this._loaded)return;const t=e.aG(this.sourceCaches,(t=>t.serialize())),r=this._serializeByIds(this._order),n=this.map.getTerrain()||void 0,i=this.stylesheet;return e.aH({version:i.version,name:i.name,metadata:i.metadata,light:i.light,sky:i.sky,center:i.center,zoom:i.zoom,bearing:i.bearing,pitch:i.pitch,sprite:i.sprite,glyphs:i.glyphs,transition:i.transition,sources:t,layers:r,terrain:n},(t=>void 0!==t))}_updateLayer(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._serializedLayers=null,this._changed=!0}_flattenAndSortRenderedFeatures(t){const e=t=>\"fill-extrusion\"===this._layers[t].type,r={},n=[];for(let i=this._order.length-1;i>=0;i--){const a=this._order[i];if(e(a)){r[a]=i;for(const e of t){const t=e[a];if(t)for(const e of t)n.push(e)}}}n.sort(((t,e)=>e.intersectionZ-t.intersectionZ));const i=[];for(let a=this._order.length-1;a>=0;a--){const o=this._order[a];if(e(o))for(let t=n.length-1;t>=0;t--){const e=n[t].feature;if(r[e.layer.id]<a)break;i.push(e),n.pop()}else for(const e of t){const t=e[o];if(t)for(const e of t)i.push(e.feature)}}return i}queryRenderedFeatures(t,r,n){r&&r.filter&&this._validate(e.x.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);const i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new e.j(new Error(\"parameters.layers must be an Array.\"))),[];for(const t of r.layers){const r=this._layers[t];if(!r)return this.fire(new e.j(new Error(`The layer '${t}' does not exist in the map's style and cannot be queried for features.`))),[];i[r.source]=!0}}const a=[];r.availableImages=this._availableImages;const o=this._serializedAllLayers();for(const e in this.sourceCaches)r.layers&&!i[e]||a.push(Z(this.sourceCaches[e],this._layers,o,t,r,n));return this.placement&&a.push(function(t,e,r,n,i,a,o){const s={},l=a.queryRenderedSymbols(n),c=[];for(const t of Object.keys(l).map(Number))c.push(o[t]);c.sort(W);for(const r of c){const n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(const t in n){const e=s[t]=s[t]||[],i=n[t];i.sort(((t,e)=>{const n=r.featureSortOrder;if(n){const r=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-r}return e.featureIndex-t.featureIndex}));for(const t of i)e.push(t)}}for(const e in s)s[e].forEach((n=>{const i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}));return s}(this._layers,o,this.sourceCaches,t,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(a)}querySourceFeatures(t,r){r&&r.filter&&this._validate(e.x.filter,\"querySourceFeatures.filter\",r.filter,null,r);const n=this.sourceCaches[t];return n?function(t,e){const r=t.getRenderableIds().map((e=>t.getTileByID(e))),n=[],i={};for(let t=0;t<r.length;t++){const a=r[t],o=a.tileID.canonical.key;i[o]||(i[o]=!0,a.querySourceFeatures(n,e))}return n}(n,r):[]}getLight(){return this.light.getLight()}setLight(t,r={}){this._checkLoaded();const n=this.light.getLight();let i=!1;for(const r in t)if(!e.aF(t[r],n[r])){i=!0;break}if(!i)return;const o={now:a.now(),transition:e.e({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(t,r),this.light.updateTransitions(o)}getSky(){var t;return null===(t=this.stylesheet)||void 0===t?void 0:t.sky}setSky(t,r={}){const n=this.sky.getSky();let i=!1;t||n&&(i=!0);for(const r in t)if(!e.aF(t[r],n[r])){i=!0;break}if(!i)return;const o={now:a.now(),transition:e.e({duration:300,delay:0},this.stylesheet.transition)};this.stylesheet.sky=t,this.sky.setSky(t,r),this.sky.updateTransitions(o)}_validate(t,r,n,i,a={}){return(!a||!1!==a.validate)&&fe(this,t.call(e.x,e.e({key:r,style:this.serialize(),value:n,styleSpec:e.v},i)))}_remove(t=!0){this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._loadStyleRequest&&(this._loadStyleRequest.abort(),this._loadStyleRequest=null),this._spriteRequest&&(this._spriteRequest.abort(),this._spriteRequest=null),ut().off(st,this._rtlPluginLoaded);for(const t in this._layers)this._layers[t].setEventedParent(null);for(const t in this.sourceCaches){const e=this.sourceCaches[t];e.setEventedParent(null),e.onRemove(this.map)}this.imageManager.setEventedParent(null),this.setEventedParent(null),t&&this.dispatcher.broadcast(\"RM\",void 0),this.dispatcher.remove(t)}_clearSource(t){this.sourceCaches[t].clearTiles()}_reloadSource(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()}_updateSources(t){for(const e in this.sourceCaches)this.sourceCaches[e].update(t,this.map.terrain)}_generateCollisionBoxes(){for(const t in this.sourceCaches)this._reloadSource(t)}_updatePlacement(t,e,r,n,i=!1){let o=!1,s=!1;const l={};for(const e of this._order){const r=this._layers[e];if(\"symbol\"!==r.type)continue;if(!l[r.source]){const t=this.sourceCaches[r.source];l[r.source]=t.getRenderableIds(!0).map((e=>t.getTileByID(e))).sort(((t,e)=>e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)))}const n=this.crossTileSymbolIndex.addLayer(r,l[r.source],t.center.lng);o=o||n}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((i=i||this._layerOrderChanged||0===r)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(a.now(),t.zoom))&&(this.pauseablePlacement=new oe(t,this.map.terrain,this._order,i,e,r,n,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(a.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(const t of this._order){const e=this._layers[t];\"symbol\"===e.type&&this.placement.updateLayerOpacities(e,l[e.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(a.now())}_releaseSymbolFadeTiles(){for(const t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()}getImages(t,r){return e._(this,void 0,void 0,(function*(){const t=yield this.imageManager.getImages(r.icons);this._updateTilesForChangedImages();const e=this.sourceCaches[r.source];return e&&e.setDependencies(r.tileID.key,r.type,r.icons),t}))}getGlyphs(t,r){return e._(this,void 0,void 0,(function*(){const t=yield this.glyphManager.getGlyphs(r.stacks),e=this.sourceCaches[r.source];return e&&e.setDependencies(r.tileID.key,r.type,[\"\"]),t}))}getGlyphsUrl(){return this.stylesheet.glyphs||null}setGlyphs(t,r={}){this._checkLoaded(),t&&this._validate(e.x.glyphs,\"glyphs\",t,null,r)||(this._glyphsDidChange=!0,this.stylesheet.glyphs=t,this.glyphManager.entries={},this.glyphManager.setURL(t))}addSprite(t,r,n={},i){this._checkLoaded();const a=[{id:t,url:r}],o=[...x(this.stylesheet.sprite),...a];this._validate(e.x.sprite,\"sprite\",o,null,n)||(this.stylesheet.sprite=o,this._loadSprite(a,!0,i))}removeSprite(t){this._checkLoaded();const r=x(this.stylesheet.sprite);if(r.find((e=>e.id===t))){if(this._spritesImagesIds[t])for(const e of this._spritesImagesIds[t])this.imageManager.removeImage(e),this._changedImages[e]=!0;r.splice(r.findIndex((e=>e.id===t)),1),this.stylesheet.sprite=r.length>0?r:void 0,delete this._spritesImagesIds[t],this._availableImages=this.imageManager.listImages(),this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new e.k(\"data\",{dataType:\"style\"}))}else this.fire(new e.j(new Error(`Sprite \"${t}\" doesn't exists on this map.`)))}getSprite(){return x(this.stylesheet.sprite)}setSprite(t,r={},n){this._checkLoaded(),t&&this._validate(e.x.sprite,\"sprite\",t,null,r)||(this.stylesheet.sprite=t,t?this._loadSprite(t,!0,n):(this._unloadSprite(),n&&n(null)))}}var me=e.Y([{name:\"a_pos\",type:\"Int16\",components:2}]);const ge={prelude:ye(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\n\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\\n#ifdef TERRAIN3D\\nuniform sampler2D u_terrain;uniform float u_terrain_dim;uniform mat4 u_terrain_matrix;uniform vec4 u_terrain_unpack;uniform float u_terrain_exaggeration;uniform highp sampler2D u_depth;\\n#endif\\nconst highp vec4 bitSh=vec4(256.*256.*256.,256.*256.,256.,1.);const highp vec4 bitShifts=vec4(1.)/bitSh;highp float unpack(highp vec4 color) {return dot(color,bitShifts);}highp float depthOpacity(vec3 frag) {\\n#ifdef TERRAIN3D\\nhighp float d=unpack(texture2D(u_depth,frag.xy*0.5+0.5))+0.0001-frag.z;return 1.0-max(0.0,min(1.0,-d*500.0));\\n#else\\nreturn 1.0;\\n#endif\\n}float calculate_visibility(vec4 pos) {\\n#ifdef TERRAIN3D\\nvec3 frag=pos.xyz/pos.w;highp float d=depthOpacity(frag);if (d > 0.95) return 1.0;return (d+depthOpacity(frag+vec3(0.0,0.01,0.0)))/2.0;\\n#else\\nreturn 1.0;\\n#endif\\n}float ele(vec2 pos) {\\n#ifdef TERRAIN3D\\nvec4 rgb=(texture2D(u_terrain,pos)*255.0)*u_terrain_unpack;return rgb.r+rgb.g+rgb.b-u_terrain_unpack.a;\\n#else\\nreturn 0.0;\\n#endif\\n}float get_elevation(vec2 pos) {\\n#ifdef TERRAIN3D\\nvec2 coord=(u_terrain_matrix*vec4(pos,0.0,1.0)).xy*u_terrain_dim+1.0;vec2 f=fract(coord);vec2 c=(floor(coord)+0.5)/(u_terrain_dim+2.0);float d=1.0/(u_terrain_dim+2.0);float tl=ele(c);float tr=ele(c+vec2(d,0.0));float bl=ele(c+vec2(0.0,d));float br=ele(c+vec2(d,d));float elevation=mix(mix(tl,tr,f.x),mix(bl,br,f.x),f.y);return elevation*u_terrain_exaggeration;\\n#else\\nreturn 0.0;\\n#endif\\n}\"),background:ye(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),backgroundPattern:ye(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),circle:ye(\"varying vec3 v_data;varying float v_visibility;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=v_visibility*opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;varying float v_visibility;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);float ele=get_elevation(circle_center);v_visibility=calculate_visibility(u_matrix*vec4(circle_center,ele,1.0));if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,ele,1);} else {gl_Position=u_matrix*vec4(circle_center,ele,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),clippingMask:ye(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),heatmap:ye(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),heatmapTexture:ye(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),collisionBox:ye(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_anchor_pos;attribute vec2 a_placed;attribute vec2 a_box_real;uniform mat4 u_matrix;uniform vec2 u_pixel_extrude_scale;varying float v_placed;varying float v_notUsed;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}void main() {gl_Position=projectTileWithElevation(a_anchor_pos,get_elevation(a_anchor_pos));gl_Position.xy=((a_box_real+0.5)*u_pixel_extrude_scale*2.0-1.0)*vec2(1.0,-1.0)*gl_Position.w;if (gl_Position.z/gl_Position.w < 1.1) {gl_Position.z=0.5;}v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),collisionCircle:ye(\"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);}\"),debug:ye(\"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,get_elevation(a_pos),1);}\"),fill:ye(\"#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);}\"),fillOutline:ye(\"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;}\"),fillOutlinePattern:ye(\"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;}\"),fillPattern:ye(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform 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);}\"),fillExtrusion:ye(\"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;\\n#ifdef TERRAIN3D\\nattribute vec2 a_centroid;\\n#endif\\nvarying 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;\\n#ifdef TERRAIN3D\\nfloat height_terrain3d_offset=get_elevation(a_centroid);float base_terrain3d_offset=height_terrain3d_offset-(base > 0.0 ? 0.0 : 10.0);\\n#else\\nfloat height_terrain3d_offset=0.0;float base_terrain3d_offset=0.0;\\n#endif\\nbase=max(0.0,base)+base_terrain3d_offset;height=max(0.0,height)+height_terrain3d_offset;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;}\"),fillExtrusionPattern:ye(\"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;\\n#ifdef TERRAIN3D\\nattribute vec2 a_centroid;\\n#endif\\nvarying 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;\\n#ifdef TERRAIN3D\\nfloat height_terrain3d_offset=get_elevation(a_centroid);float base_terrain3d_offset=height_terrain3d_offset-(base > 0.0 ? 0.0 : 10.0);\\n#else\\nfloat height_terrain3d_offset=0.0;float base_terrain3d_offset=0.0;\\n#endif\\nbase=max(0.0,base)+base_terrain3d_offset;height=max(0.0,height)+height_terrain3d_offset;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;}\"),hillshadePrepare:ye(\"#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;}\"),hillshade:ye(\"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;}\"),line:ye(\"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;\\n#ifdef TERRAIN3D\\nv_gamma_scale=1.0;\\n#else\\nfloat 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;\\n#endif\\nv_width2=vec2(outset,inset);}\"),lineGradient:ye(\"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;\\n#ifdef TERRAIN3D\\nv_gamma_scale=1.0;\\n#else\\nfloat 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;\\n#endif\\nv_width2=vec2(outset,inset);}\"),linePattern:ye(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform 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;\\n#ifdef TERRAIN3D\\nv_gamma_scale=1.0;\\n#else\\nfloat 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;\\n#endif\\nv_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),lineSDF:ye(\"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;\\n#ifdef TERRAIN3D\\nv_gamma_scale=1.0;\\n#else\\nfloat 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;\\n#endif\\nv_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);}\"),raster:ye(\"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;}\"),symbolIcon:ye(\"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}\",\"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;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec2 v_tex;varying float v_fade_opacity;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\\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;float ele=get_elevation(a_pos);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;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);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=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);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;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}gl_Position=finalPos;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;float visibility=calculate_visibility(projectedPoint);v_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));}\"),symbolSDF:ye(\"#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 inner_edge=(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);inner_edge=inner_edge+gamma*gamma_scale;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(inner_edge-gamma_scaled,inner_edge+gamma_scaled,dist);if (u_is_halo) {lowp float halo_edge=(6.0-halo_width/fontScale)/SDF_PX;alpha=min(smoothstep(halo_edge-gamma_scaled,halo_edge+gamma_scaled,dist),1.0-alpha);}gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"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 bool u_is_along_line;uniform bool u_is_variable_anchor;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_translation;uniform float u_pitched_scale;varying vec2 v_data0;varying vec3 v_data1;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\\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;float ele=get_elevation(a_pos);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;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);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=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);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;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}float gamma_scale=finalPos.w;gl_Position=finalPos;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float visibility=calculate_visibility(projectedPoint);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),symbolTextAndIcon:ye(\"#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}\",\"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;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec4 v_data0;varying vec4 v_data1;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\\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;float ele=get_elevation(a_pos);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;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);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=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);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;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}float gamma_scale=finalPos.w;gl_Position=finalPos;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float visibility=calculate_visibility(projectedPoint);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(visibility,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);}\"),terrain:ye(\"uniform sampler2D u_texture;uniform vec4 u_fog_color;uniform vec4 u_horizon_color;uniform float u_fog_ground_blend;uniform float u_fog_ground_blend_opacity;uniform float u_horizon_fog_blend;varying vec2 v_texture_pos;varying float v_fog_depth;const float gamma=2.2;vec4 gammaToLinear(vec4 color) {return pow(color,vec4(gamma));}vec4 linearToGamma(vec4 color) {return pow(color,vec4(1.0/gamma));}void main() {vec4 surface_color=texture2D(u_texture,v_texture_pos);if (v_fog_depth > u_fog_ground_blend) {vec4 surface_color_linear=gammaToLinear(surface_color);float blend_color=smoothstep(0.0,1.0,max((v_fog_depth-u_horizon_fog_blend)/(1.0-u_horizon_fog_blend),0.0));vec4 fog_horizon_color_linear=mix(gammaToLinear(u_fog_color),gammaToLinear(u_horizon_color),blend_color);float factor_fog=max(v_fog_depth-u_fog_ground_blend,0.0)/(1.0-u_fog_ground_blend);gl_FragColor=linearToGamma(mix(surface_color_linear,fog_horizon_color_linear,pow(factor_fog,2.0)*u_fog_ground_blend_opacity));} else {gl_FragColor=surface_color;}}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform mat4 u_fog_matrix;uniform float u_ele_delta;varying vec2 v_texture_pos;varying float v_fog_depth;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;v_texture_pos=a_pos3d.xy/8192.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);vec4 pos=u_fog_matrix*vec4(a_pos3d.xy,ele,1.0);v_fog_depth=pos.z/pos.w*0.5+0.5;}\"),terrainDepth:ye(\"varying float v_depth;const highp vec4 bitSh=vec4(256.*256.*256.,256.*256.,256.,1.);const highp vec4 bitMsk=vec4(0.,vec3(1./256.0));highp vec4 pack(highp float value) {highp vec4 comp=fract(value*bitSh);comp-=comp.xxyz*bitMsk;return comp;}void main() {gl_FragColor=pack(v_depth);}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform float u_ele_delta;varying float v_depth;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);v_depth=gl_Position.z/gl_Position.w;}\"),terrainCoords:ye(\"precision mediump float;uniform sampler2D u_texture;uniform float u_terrain_coords_id;varying vec2 v_texture_pos;void main() {vec4 rgba=texture2D(u_texture,v_texture_pos);gl_FragColor=vec4(rgba.r,rgba.g,rgba.b,u_terrain_coords_id);}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform float u_ele_delta;varying vec2 v_texture_pos;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;v_texture_pos=a_pos3d.xy/8192.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);}\"),sky:ye(\"uniform vec4 u_sky_color;uniform vec4 u_horizon_color;uniform float u_horizon;uniform float u_sky_horizon_blend;void main() {float y=gl_FragCoord.y;if (y > u_horizon) {float blend=y-u_horizon;if (blend < u_sky_horizon_blend) {gl_FragColor=mix(u_sky_color,u_horizon_color,pow(1.0-blend/u_sky_horizon_blend,2.0));} else {gl_FragColor=u_sky_color;}}}\",\"attribute vec2 a_pos;void main() {gl_Position=vec4(a_pos,1.0,1.0);}\")};function ye(t,e){const 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,((t,e,r,n,i)=>(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,((t,e,r,n,i)=>{const 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}}class ve{constructor(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null}bind(t,e,r,n,i,a,o,s,l){this.context=t;let c=this.boundPaintVertexBuffers.length!==n.length;for(let t=0;!c&&t<n.length;t++)this.boundPaintVertexBuffers[t]!==n[t]&&(c=!0);!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||c||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s||this.boundDynamicVertexBuffer3!==l?this.freshBind(e,r,n,i,a,o,s,l):(t.bindVertexArray.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind(),l&&l.bind())}freshBind(t,e,r,n,i,a,o,s){const l=t.numAttributes,c=this.context,u=c.gl;this.vao&&this.destroy(),this.vao=c.createVertexArray(),c.bindVertexArray.set(this.vao),this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o,this.boundDynamicVertexBuffer3=s,e.enableAttributes(u,t);for(const e of r)e.enableAttributes(u,t);a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),s&&s.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(const e of r)e.bind(),e.setVertexAttribPointers(u,t,i);a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),s&&(s.bind(),s.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l}destroy(){this.vao&&(this.context.deleteVertexArray(this.vao),this.vao=null)}}const xe=(t,r,n,i,a)=>({u_matrix:t,u_texture:0,u_ele_delta:r,u_fog_matrix:n,u_fog_color:i?i.properties.get(\"fog-color\"):e.aN.white,u_fog_ground_blend:i?i.properties.get(\"fog-ground-blend\"):1,u_fog_ground_blend_opacity:i?i.calculateFogBlendOpacity(a):0,u_horizon_color:i?i.properties.get(\"horizon-color\"):e.aN.white,u_horizon_fog_blend:i?i.properties.get(\"horizon-fog-blend\"):1});function _e(t){const e=[];for(let r=0;r<t.length;r++){if(null===t[r])continue;const n=t[r].split(\" \");e.push(n.pop())}return e}class be{constructor(t,r,n,i,a,o){const s=t.gl;this.program=s.createProgram();const l=_e(r.staticAttributes),c=n?n.getBinderAttributes():[],u=l.concat(c),h=ge.prelude.staticUniforms?_e(ge.prelude.staticUniforms):[],f=r.staticUniforms?_e(r.staticUniforms):[],p=n?n.getBinderUniforms():[],d=h.concat(f).concat(p),m=[];for(const t of d)m.indexOf(t)<0&&m.push(t);const g=n?n.defines():[];a&&g.push(\"#define OVERDRAW_INSPECTOR;\"),o&&g.push(\"#define TERRAIN3D;\");const y=g.concat(ge.prelude.fragmentSource,r.fragmentSource).join(\"\\n\"),v=g.concat(ge.prelude.vertexSource,r.vertexSource).join(\"\\n\"),x=s.createShader(s.FRAGMENT_SHADER);if(s.isContextLost())return void(this.failedToCreate=!0);if(s.shaderSource(x,y),s.compileShader(x),!s.getShaderParameter(x,s.COMPILE_STATUS))throw new Error(`Could not compile fragment shader: ${s.getShaderInfoLog(x)}`);s.attachShader(this.program,x);const _=s.createShader(s.VERTEX_SHADER);if(s.isContextLost())return void(this.failedToCreate=!0);if(s.shaderSource(_,v),s.compileShader(_),!s.getShaderParameter(_,s.COMPILE_STATUS))throw new Error(`Could not compile vertex shader: ${s.getShaderInfoLog(_)}`);s.attachShader(this.program,_),this.attributes={};const b={};this.numAttributes=u.length;for(let t=0;t<this.numAttributes;t++)u[t]&&(s.bindAttribLocation(this.program,t,u[t]),this.attributes[u[t]]=t);if(s.linkProgram(this.program),!s.getProgramParameter(this.program,s.LINK_STATUS))throw new Error(`Program failed to link: ${s.getProgramInfoLog(this.program)}`);s.deleteShader(_),s.deleteShader(x);for(let t=0;t<m.length;t++){const e=m[t];if(e&&!b[e]){const t=s.getUniformLocation(this.program,e);t&&(b[e]=t)}}this.fixedUniforms=i(t,b),this.terrainUniforms=((t,r)=>({u_depth:new e.aI(t,r.u_depth),u_terrain:new e.aI(t,r.u_terrain),u_terrain_dim:new e.aJ(t,r.u_terrain_dim),u_terrain_matrix:new e.aK(t,r.u_terrain_matrix),u_terrain_unpack:new e.aL(t,r.u_terrain_unpack),u_terrain_exaggeration:new e.aJ(t,r.u_terrain_exaggeration)}))(t,b),this.binderUniforms=n?n.getUniforms(t,b):[]}draw(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y){const v=t.gl;if(this.failedToCreate)return;if(t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),s){t.activeTexture.set(v.TEXTURE2),v.bindTexture(v.TEXTURE_2D,s.depthTexture),t.activeTexture.set(v.TEXTURE3),v.bindTexture(v.TEXTURE_2D,s.texture);for(const t in this.terrainUniforms)this.terrainUniforms[t].set(s[t])}for(const t in this.fixedUniforms)this.fixedUniforms[t].set(o[t]);d&&d.setUniforms(t,this.binderUniforms,f,{zoom:p});let x=0;switch(e){case v.LINES:x=2;break;case v.TRIANGLES:x=3;break;case v.LINE_STRIP:x=1}for(const r of h.get()){const n=r.vaos||(r.vaos={});(n[l]||(n[l]=new ve)).bind(t,this,c,d?d.getPaintVertexBuffers():[],u,r.vertexOffset,m,g,y),v.drawElements(e,r.primitiveLength*x,v.UNSIGNED_SHORT,r.primitiveOffset*x*2)}}}function we(t,e,r){const n=1/Nt(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}const Te=(t,r,n,i)=>{const a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=function(){var t=new e.A(9);return e.A!=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}();\"viewport\"===a.properties.get(\"anchor\")&&function(t,e){var r=Math.sin(e),n=Math.cos(e);t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1}(l,-r.transform.angle),function(t,e,r){var n=e[0],i=e[1],a=e[2];t[0]=n*r[0]+i*r[3]+a*r[6],t[1]=n*r[1]+i*r[4]+a*r[7],t[2]=n*r[2]+i*r[5]+a*r[8]}(s,s,l);const c=a.properties.get(\"color\");return{u_matrix:t,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},ke=(t,r,n,i,a,o,s)=>e.e(Te(t,r,n,i),we(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8}),Ae=t=>({u_matrix:t}),Me=(t,r,n,i)=>e.e(Ae(t),we(n,r,i)),Se=(t,e)=>({u_matrix:t,u_world:e}),Ee=(t,r,n,i,a)=>e.e(Me(t,r,n,i),{u_world:a}),Ce=(t,e,r,n)=>{const i=t.transform;let a,o;if(\"map\"===n.paint.get(\"circle-pitch-alignment\")){const t=Nt(r,1,i.zoom);a=!0,o=[t,t]}else a=!1,o=i.pixelsToGLUnits;return{u_camera_to_center_distance:i.cameraToCenterDistance,u_scale_with_map:+(\"map\"===n.paint.get(\"circle-pitch-scale\")),u_matrix:t.translatePosMatrix(e.posMatrix,r,n.paint.get(\"circle-translate\"),n.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.pixelRatio,u_extrude_scale:o}},Le=(t,e)=>({u_matrix:e,u_pixel_extrude_scale:[1/t.width,1/t.height]}),Ie=(t,e,r)=>({u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}),Pe=(t,e,r=1)=>({u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}),ze=t=>({u_matrix:t}),Oe=(t,e,r,n)=>({u_matrix:t,u_extrude_scale:Nt(e,1,r),u_intensity:n}),De=(t,r,n,i)=>{const a=e.H();e.aQ(a,0,t.width,t.height,0,0,1);const o=t.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\")}},Re=(t,e,r,n)=>{const i=r.paint.get(\"hillshade-shadow-color\"),a=r.paint.get(\"hillshade-highlight-color\"),o=r.paint.get(\"hillshade-accent-color\");let s=r.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===r.paint.get(\"hillshade-illumination-anchor\")&&(s-=t.transform.angle);const l=!t.options.moving;return{u_matrix:n?n.posMatrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),l),u_image:0,u_latrange:Be(0,e.tileID),u_light:[r.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},Fe=(t,r)=>{const n=r.stride,i=e.H();return e.aQ(i,0,e.X,-e.X,0,0,1),e.J(i,i,[0,-e.X,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:t.overscaledZ,u_unpack:r.getUnpackVector()}};function Be(t,r){const n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new e.Z(0,i/n).toLngLat().lat,new e.Z(0,(i+1)/n).toLngLat().lat]}const Ne=(t,e,r,n)=>{const i=t.transform;return{u_matrix:He(t,e,r,n),u_ratio:1/Nt(e,1,i.zoom),u_device_pixel_ratio:t.pixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},je=(t,r,n,i,a)=>e.e(Ne(t,r,n,a),{u_image:0,u_image_height:i}),Ue=(t,e,r,n,i)=>{const a=t.transform,o=qe(e,a);return{u_matrix:He(t,e,r,i),u_texsize:e.imageAtlasTexture.size,u_ratio:1/Nt(e,1,a.zoom),u_device_pixel_ratio:t.pixelRatio,u_image:0,u_scale:[o,n.fromScale,n.toScale],u_fade:n.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Ve=(t,r,n,i,a,o)=>{const s=t.transform,l=t.lineAtlas,c=qe(r,s),u=\"round\"===n.layout.get(\"line-cap\"),h=l.getDash(i.from,u),f=l.getDash(i.to,u),p=h.width*a.fromScale,d=f.width*a.toScale;return e.e(Ne(t,r,n,o),{u_patternscale_a:[c/p,-h.height/2],u_patternscale_b:[c/d,-f.height/2],u_sdfgamma:l.width/(256*Math.min(p,d)*t.pixelRatio)/2,u_image:0,u_tex_y_a:h.y,u_tex_y_b:f.y,u_mix:a.t})};function qe(t,e){return 1/Nt(t,1,e.tileZoom)}function He(t,e,r,n){return t.translatePosMatrix(n?n.posMatrix:e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}const Ge=(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:Ze(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Ze(t){t*=Math.PI/180;const 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]}const We=(t,e,r,n,i,a,o,s,l,c,u,h,f,p)=>{const d=o.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:d.cameraToCenterDistance,u_pitch:d.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:d.width/d.height,u_fade_change:o.options.fadeDuration?o.symbolFadeChange:1,u_matrix:s,u_label_plane_matrix:l,u_coord_matrix:c,u_is_text:+h,u_pitch_with_map:+n,u_is_along_line:i,u_is_variable_anchor:a,u_texsize:f,u_texture:0,u_translation:u,u_pitched_scale:p}},Ye=(t,r,n,i,a,o,s,l,c,u,h,f,p,d,m)=>{const g=s.transform;return e.e(We(t,r,n,i,a,o,s,l,c,u,h,f,p,m),{u_gamma_scale:i?Math.cos(g._pitch)*g.cameraToCenterDistance:1,u_device_pixel_ratio:s.pixelRatio,u_is_halo:+d})},Xe=(t,r,n,i,a,o,s,l,c,u,h,f,p,d)=>e.e(Ye(t,r,n,i,a,o,s,l,c,u,h,!0,f,!0,d),{u_texsize_icon:p,u_texture_icon:1}),$e=(t,e,r)=>({u_matrix:t,u_opacity:e,u_color:r}),Je=(t,r,n,i,a,o)=>e.e(function(t,e,r,n){const i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),{width:o,height:s}=r.imageManager.getPixelSize(),l=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/l,u=c*(n.tileID.canonical.x+n.tileID.wrap*l),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:[o,s],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/Nt(n,1,r.transform.tileZoom),u_pixel_coord_upper:[u>>16,h>>16],u_pixel_coord_lower:[65535&u,65535&h]}}(i,o,n,a),{u_matrix:t,u_opacity:r}),Ke={fillExtrusion:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_lightpos:new e.aO(t,r.u_lightpos),u_lightintensity:new e.aJ(t,r.u_lightintensity),u_lightcolor:new e.aO(t,r.u_lightcolor),u_vertical_gradient:new e.aJ(t,r.u_vertical_gradient),u_opacity:new e.aJ(t,r.u_opacity)}),fillExtrusionPattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_lightpos:new e.aO(t,r.u_lightpos),u_lightintensity:new e.aJ(t,r.u_lightintensity),u_lightcolor:new e.aO(t,r.u_lightcolor),u_vertical_gradient:new e.aJ(t,r.u_vertical_gradient),u_height_factor:new e.aJ(t,r.u_height_factor),u_image:new e.aI(t,r.u_image),u_texsize:new e.aP(t,r.u_texsize),u_pixel_coord_upper:new e.aP(t,r.u_pixel_coord_upper),u_pixel_coord_lower:new e.aP(t,r.u_pixel_coord_lower),u_scale:new e.aO(t,r.u_scale),u_fade:new e.aJ(t,r.u_fade),u_opacity:new e.aJ(t,r.u_opacity)}),fill:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix)}),fillPattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_image:new e.aI(t,r.u_image),u_texsize:new e.aP(t,r.u_texsize),u_pixel_coord_upper:new e.aP(t,r.u_pixel_coord_upper),u_pixel_coord_lower:new e.aP(t,r.u_pixel_coord_lower),u_scale:new e.aO(t,r.u_scale),u_fade:new e.aJ(t,r.u_fade)}),fillOutline:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_world:new e.aP(t,r.u_world)}),fillOutlinePattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_world:new e.aP(t,r.u_world),u_image:new e.aI(t,r.u_image),u_texsize:new e.aP(t,r.u_texsize),u_pixel_coord_upper:new e.aP(t,r.u_pixel_coord_upper),u_pixel_coord_lower:new e.aP(t,r.u_pixel_coord_lower),u_scale:new e.aO(t,r.u_scale),u_fade:new e.aJ(t,r.u_fade)}),circle:(t,r)=>({u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_scale_with_map:new e.aI(t,r.u_scale_with_map),u_pitch_with_map:new e.aI(t,r.u_pitch_with_map),u_extrude_scale:new e.aP(t,r.u_extrude_scale),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_matrix:new e.aK(t,r.u_matrix)}),collisionBox:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_pixel_extrude_scale:new e.aP(t,r.u_pixel_extrude_scale)}),collisionCircle:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_inv_matrix:new e.aK(t,r.u_inv_matrix),u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_viewport_size:new e.aP(t,r.u_viewport_size)}),debug:(t,r)=>({u_color:new e.aM(t,r.u_color),u_matrix:new e.aK(t,r.u_matrix),u_overlay:new e.aI(t,r.u_overlay),u_overlay_scale:new e.aJ(t,r.u_overlay_scale)}),clippingMask:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix)}),heatmap:(t,r)=>({u_extrude_scale:new e.aJ(t,r.u_extrude_scale),u_intensity:new e.aJ(t,r.u_intensity),u_matrix:new e.aK(t,r.u_matrix)}),heatmapTexture:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_world:new e.aP(t,r.u_world),u_image:new e.aI(t,r.u_image),u_color_ramp:new e.aI(t,r.u_color_ramp),u_opacity:new e.aJ(t,r.u_opacity)}),hillshade:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_image:new e.aI(t,r.u_image),u_latrange:new e.aP(t,r.u_latrange),u_light:new e.aP(t,r.u_light),u_shadow:new e.aM(t,r.u_shadow),u_highlight:new e.aM(t,r.u_highlight),u_accent:new e.aM(t,r.u_accent)}),hillshadePrepare:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_image:new e.aI(t,r.u_image),u_dimension:new e.aP(t,r.u_dimension),u_zoom:new e.aJ(t,r.u_zoom),u_unpack:new e.aL(t,r.u_unpack)}),line:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_ratio:new e.aJ(t,r.u_ratio),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_units_to_pixels:new e.aP(t,r.u_units_to_pixels)}),lineGradient:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_ratio:new e.aJ(t,r.u_ratio),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_units_to_pixels:new e.aP(t,r.u_units_to_pixels),u_image:new e.aI(t,r.u_image),u_image_height:new e.aJ(t,r.u_image_height)}),linePattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_texsize:new e.aP(t,r.u_texsize),u_ratio:new e.aJ(t,r.u_ratio),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_image:new e.aI(t,r.u_image),u_units_to_pixels:new e.aP(t,r.u_units_to_pixels),u_scale:new e.aO(t,r.u_scale),u_fade:new e.aJ(t,r.u_fade)}),lineSDF:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_ratio:new e.aJ(t,r.u_ratio),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_units_to_pixels:new e.aP(t,r.u_units_to_pixels),u_patternscale_a:new e.aP(t,r.u_patternscale_a),u_patternscale_b:new e.aP(t,r.u_patternscale_b),u_sdfgamma:new e.aJ(t,r.u_sdfgamma),u_image:new e.aI(t,r.u_image),u_tex_y_a:new e.aJ(t,r.u_tex_y_a),u_tex_y_b:new e.aJ(t,r.u_tex_y_b),u_mix:new e.aJ(t,r.u_mix)}),raster:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_tl_parent:new e.aP(t,r.u_tl_parent),u_scale_parent:new e.aJ(t,r.u_scale_parent),u_buffer_scale:new e.aJ(t,r.u_buffer_scale),u_fade_t:new e.aJ(t,r.u_fade_t),u_opacity:new e.aJ(t,r.u_opacity),u_image0:new e.aI(t,r.u_image0),u_image1:new e.aI(t,r.u_image1),u_brightness_low:new e.aJ(t,r.u_brightness_low),u_brightness_high:new e.aJ(t,r.u_brightness_high),u_saturation_factor:new e.aJ(t,r.u_saturation_factor),u_contrast_factor:new e.aJ(t,r.u_contrast_factor),u_spin_weights:new e.aO(t,r.u_spin_weights)}),symbolIcon:(t,r)=>({u_is_size_zoom_constant:new e.aI(t,r.u_is_size_zoom_constant),u_is_size_feature_constant:new e.aI(t,r.u_is_size_feature_constant),u_size_t:new e.aJ(t,r.u_size_t),u_size:new e.aJ(t,r.u_size),u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_pitch:new e.aJ(t,r.u_pitch),u_rotate_symbol:new e.aI(t,r.u_rotate_symbol),u_aspect_ratio:new e.aJ(t,r.u_aspect_ratio),u_fade_change:new e.aJ(t,r.u_fade_change),u_matrix:new e.aK(t,r.u_matrix),u_label_plane_matrix:new e.aK(t,r.u_label_plane_matrix),u_coord_matrix:new e.aK(t,r.u_coord_matrix),u_is_text:new e.aI(t,r.u_is_text),u_pitch_with_map:new e.aI(t,r.u_pitch_with_map),u_is_along_line:new e.aI(t,r.u_is_along_line),u_is_variable_anchor:new e.aI(t,r.u_is_variable_anchor),u_texsize:new e.aP(t,r.u_texsize),u_texture:new e.aI(t,r.u_texture),u_translation:new e.aP(t,r.u_translation),u_pitched_scale:new e.aJ(t,r.u_pitched_scale)}),symbolSDF:(t,r)=>({u_is_size_zoom_constant:new e.aI(t,r.u_is_size_zoom_constant),u_is_size_feature_constant:new e.aI(t,r.u_is_size_feature_constant),u_size_t:new e.aJ(t,r.u_size_t),u_size:new e.aJ(t,r.u_size),u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_pitch:new e.aJ(t,r.u_pitch),u_rotate_symbol:new e.aI(t,r.u_rotate_symbol),u_aspect_ratio:new e.aJ(t,r.u_aspect_ratio),u_fade_change:new e.aJ(t,r.u_fade_change),u_matrix:new e.aK(t,r.u_matrix),u_label_plane_matrix:new e.aK(t,r.u_label_plane_matrix),u_coord_matrix:new e.aK(t,r.u_coord_matrix),u_is_text:new e.aI(t,r.u_is_text),u_pitch_with_map:new e.aI(t,r.u_pitch_with_map),u_is_along_line:new e.aI(t,r.u_is_along_line),u_is_variable_anchor:new e.aI(t,r.u_is_variable_anchor),u_texsize:new e.aP(t,r.u_texsize),u_texture:new e.aI(t,r.u_texture),u_gamma_scale:new e.aJ(t,r.u_gamma_scale),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_is_halo:new e.aI(t,r.u_is_halo),u_translation:new e.aP(t,r.u_translation),u_pitched_scale:new e.aJ(t,r.u_pitched_scale)}),symbolTextAndIcon:(t,r)=>({u_is_size_zoom_constant:new e.aI(t,r.u_is_size_zoom_constant),u_is_size_feature_constant:new e.aI(t,r.u_is_size_feature_constant),u_size_t:new e.aJ(t,r.u_size_t),u_size:new e.aJ(t,r.u_size),u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_pitch:new e.aJ(t,r.u_pitch),u_rotate_symbol:new e.aI(t,r.u_rotate_symbol),u_aspect_ratio:new e.aJ(t,r.u_aspect_ratio),u_fade_change:new e.aJ(t,r.u_fade_change),u_matrix:new e.aK(t,r.u_matrix),u_label_plane_matrix:new e.aK(t,r.u_label_plane_matrix),u_coord_matrix:new e.aK(t,r.u_coord_matrix),u_is_text:new e.aI(t,r.u_is_text),u_pitch_with_map:new e.aI(t,r.u_pitch_with_map),u_is_along_line:new e.aI(t,r.u_is_along_line),u_is_variable_anchor:new e.aI(t,r.u_is_variable_anchor),u_texsize:new e.aP(t,r.u_texsize),u_texsize_icon:new e.aP(t,r.u_texsize_icon),u_texture:new e.aI(t,r.u_texture),u_texture_icon:new e.aI(t,r.u_texture_icon),u_gamma_scale:new e.aJ(t,r.u_gamma_scale),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_is_halo:new e.aI(t,r.u_is_halo),u_translation:new e.aP(t,r.u_translation),u_pitched_scale:new e.aJ(t,r.u_pitched_scale)}),background:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_opacity:new e.aJ(t,r.u_opacity),u_color:new e.aM(t,r.u_color)}),backgroundPattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_opacity:new e.aJ(t,r.u_opacity),u_image:new e.aI(t,r.u_image),u_pattern_tl_a:new e.aP(t,r.u_pattern_tl_a),u_pattern_br_a:new e.aP(t,r.u_pattern_br_a),u_pattern_tl_b:new e.aP(t,r.u_pattern_tl_b),u_pattern_br_b:new e.aP(t,r.u_pattern_br_b),u_texsize:new e.aP(t,r.u_texsize),u_mix:new e.aJ(t,r.u_mix),u_pattern_size_a:new e.aP(t,r.u_pattern_size_a),u_pattern_size_b:new e.aP(t,r.u_pattern_size_b),u_scale_a:new e.aJ(t,r.u_scale_a),u_scale_b:new e.aJ(t,r.u_scale_b),u_pixel_coord_upper:new e.aP(t,r.u_pixel_coord_upper),u_pixel_coord_lower:new e.aP(t,r.u_pixel_coord_lower),u_tile_units_to_pixels:new e.aJ(t,r.u_tile_units_to_pixels)}),terrain:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_texture:new e.aI(t,r.u_texture),u_ele_delta:new e.aJ(t,r.u_ele_delta),u_fog_matrix:new e.aK(t,r.u_fog_matrix),u_fog_color:new e.aM(t,r.u_fog_color),u_fog_ground_blend:new e.aJ(t,r.u_fog_ground_blend),u_fog_ground_blend_opacity:new e.aJ(t,r.u_fog_ground_blend_opacity),u_horizon_color:new e.aM(t,r.u_horizon_color),u_horizon_fog_blend:new e.aJ(t,r.u_horizon_fog_blend)}),terrainDepth:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_ele_delta:new e.aJ(t,r.u_ele_delta)}),terrainCoords:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_texture:new e.aI(t,r.u_texture),u_terrain_coords_id:new e.aJ(t,r.u_terrain_coords_id),u_ele_delta:new e.aJ(t,r.u_ele_delta)}),sky:(t,r)=>({u_sky_color:new e.aM(t,r.u_sky_color),u_horizon_color:new e.aM(t,r.u_horizon_color),u_horizon:new e.aJ(t,r.u_horizon),u_sky_horizon_blend:new e.aJ(t,r.u_sky_horizon_blend)})};class Qe{constructor(t,e,r){this.context=t;const n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer}bind(){this.context.bindElementBuffer.set(this.buffer)}updateData(t){const e=this.context.gl;if(!this.dynamicDraw)throw new Error(\"Attempted to update data while not in dynamic mode.\");this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)}destroy(){const t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)}}const tr={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"};class er{constructor(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;const i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer}bind(){this.context.bindVertexBuffer.set(this.buffer)}updateData(t){if(t.length!==this.length)throw new Error(`Length of new data is ${t.length}, which doesn't match current length of ${this.length}`);const e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)}enableAttributes(t,e){for(let r=0;r<this.attributes.length;r++){const n=this.attributes[r],i=e.attributes[n.name];void 0!==i&&t.enableVertexAttribArray(i)}}setVertexAttribPointers(t,e,r){for(let n=0;n<this.attributes.length;n++){const i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[tr[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}}destroy(){const t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)}}const rr=new WeakMap;function nr(t){var e;if(rr.has(t))return rr.get(t);{const r=null===(e=t.getParameter(t.VERSION))||void 0===e?void 0:e.startsWith(\"WebGL 2.0\");return rr.set(t,r),r}}class ir{constructor(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1}get(){return this.current}set(t){}getDefault(){return this.default}setDefault(){this.set(this.default)}}class ar extends ir{getDefault(){return e.aN.transparent}set(t){const e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)}}class or extends ir{getDefault(){return 1}set(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)}}class sr extends ir{getDefault(){return 0}set(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)}}class lr extends ir{getDefault(){return[!0,!0,!0,!0]}set(t){const e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)}}class cr extends ir{getDefault(){return!0}set(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)}}class ur extends ir{getDefault(){return 255}set(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)}}class hr extends ir{getDefault(){return{func:this.gl.ALWAYS,ref:0,mask:255}}set(t){const e=this.current;(t.func!==e.func||t.ref!==e.ref||t.mask!==e.mask||this.dirty)&&(this.gl.stencilFunc(t.func,t.ref,t.mask),this.current=t,this.dirty=!1)}}class fr extends ir{getDefault(){const t=this.gl;return[t.KEEP,t.KEEP,t.KEEP]}set(t){const e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||this.dirty)&&(this.gl.stencilOp(t[0],t[1],t[2]),this.current=t,this.dirty=!1)}}class pr extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;t?e.enable(e.STENCIL_TEST):e.disable(e.STENCIL_TEST),this.current=t,this.dirty=!1}}class dr extends ir{getDefault(){return[0,1]}set(t){const e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.depthRange(t[0],t[1]),this.current=t,this.dirty=!1)}}class mr extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;t?e.enable(e.DEPTH_TEST):e.disable(e.DEPTH_TEST),this.current=t,this.dirty=!1}}class gr extends ir{getDefault(){return this.gl.LESS}set(t){(t!==this.current||this.dirty)&&(this.gl.depthFunc(t),this.current=t,this.dirty=!1)}}class yr extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;t?e.enable(e.BLEND):e.disable(e.BLEND),this.current=t,this.dirty=!1}}class vr extends ir{getDefault(){const t=this.gl;return[t.ONE,t.ZERO]}set(t){const e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.blendFunc(t[0],t[1]),this.current=t,this.dirty=!1)}}class xr extends ir{getDefault(){return e.aN.transparent}set(t){const e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.blendColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)}}class _r extends ir{getDefault(){return this.gl.FUNC_ADD}set(t){(t!==this.current||this.dirty)&&(this.gl.blendEquation(t),this.current=t,this.dirty=!1)}}class br extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;t?e.enable(e.CULL_FACE):e.disable(e.CULL_FACE),this.current=t,this.dirty=!1}}class wr extends ir{getDefault(){return this.gl.BACK}set(t){(t!==this.current||this.dirty)&&(this.gl.cullFace(t),this.current=t,this.dirty=!1)}}class Tr extends ir{getDefault(){return this.gl.CCW}set(t){(t!==this.current||this.dirty)&&(this.gl.frontFace(t),this.current=t,this.dirty=!1)}}class kr extends ir{getDefault(){return null}set(t){(t!==this.current||this.dirty)&&(this.gl.useProgram(t),this.current=t,this.dirty=!1)}}class Ar extends ir{getDefault(){return this.gl.TEXTURE0}set(t){(t!==this.current||this.dirty)&&(this.gl.activeTexture(t),this.current=t,this.dirty=!1)}}class Mr extends ir{getDefault(){const t=this.gl;return[0,0,t.drawingBufferWidth,t.drawingBufferHeight]}set(t){const e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.viewport(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)}}class Sr extends ir{getDefault(){return null}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}}class Er extends ir{getDefault(){return null}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}}class Cr extends ir{getDefault(){return null}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.bindTexture(e.TEXTURE_2D,t),this.current=t,this.dirty=!1}}class Lr extends ir{getDefault(){return null}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.bindBuffer(e.ARRAY_BUFFER,t),this.current=t,this.dirty=!1}}class Ir extends ir{getDefault(){return null}set(t){const e=this.gl;e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,t),this.current=t,this.dirty=!1}}class Pr extends ir{getDefault(){return null}set(t){var e;if(t===this.current&&!this.dirty)return;const r=this.gl;nr(r)?r.bindVertexArray(t):null===(e=r.getExtension(\"OES_vertex_array_object\"))||void 0===e||e.bindVertexArrayOES(t),this.current=t,this.dirty=!1}}class zr extends ir{getDefault(){return 4}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}}class Or extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}}class Dr extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}}class Rr extends ir{constructor(t,e){super(t),this.context=t,this.parent=e}getDefault(){return null}}class Fr extends Rr{setDirty(){this.dirty=!0}set(t){if(t===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);const e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}}class Br extends Rr{set(t){if(t===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);const e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}}class Nr extends Rr{set(t){if(t===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);const e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_STENCIL_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}}class jr{constructor(t,e,r,n,i){this.context=t,this.width=e,this.height=r;const a=t.gl,o=this.framebuffer=a.createFramebuffer();if(this.colorAttachment=new Fr(t,o),n)this.depthAttachment=i?new Nr(t,o):new Br(t,o);else if(i)throw new Error(\"Stencil cannot be set without depth\");if(a.checkFramebufferStatus(a.FRAMEBUFFER)!==a.FRAMEBUFFER_COMPLETE)throw new Error(\"Framebuffer is not complete\")}destroy(){const t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){const e=this.depthAttachment.get();e&&t.deleteRenderbuffer(e)}t.deleteFramebuffer(this.framebuffer)}}class Ur{constructor(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r}}Ur.Replace=[1,0],Ur.disabled=new Ur(Ur.Replace,e.aN.transparent,[!1,!1,!1,!1]),Ur.unblended=new Ur(Ur.Replace,e.aN.transparent,[!0,!0,!0,!0]),Ur.alphaBlended=new Ur([1,771],e.aN.transparent,[!0,!0,!0,!0]);class Vr{constructor(t){var e,r;if(this.gl=t,this.clearColor=new ar(this),this.clearDepth=new or(this),this.clearStencil=new sr(this),this.colorMask=new lr(this),this.depthMask=new cr(this),this.stencilMask=new ur(this),this.stencilFunc=new hr(this),this.stencilOp=new fr(this),this.stencilTest=new pr(this),this.depthRange=new dr(this),this.depthTest=new mr(this),this.depthFunc=new gr(this),this.blend=new yr(this),this.blendFunc=new vr(this),this.blendColor=new xr(this),this.blendEquation=new _r(this),this.cullFace=new br(this),this.cullFaceSide=new wr(this),this.frontFace=new Tr(this),this.program=new kr(this),this.activeTexture=new Ar(this),this.viewport=new Mr(this),this.bindFramebuffer=new Sr(this),this.bindRenderbuffer=new Er(this),this.bindTexture=new Cr(this),this.bindVertexBuffer=new Lr(this),this.bindElementBuffer=new Ir(this),this.bindVertexArray=new Pr(this),this.pixelStoreUnpack=new zr(this),this.pixelStoreUnpackPremultiplyAlpha=new Or(this),this.pixelStoreUnpackFlipY=new Dr(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE),nr(t)){this.HALF_FLOAT=t.HALF_FLOAT;const n=t.getExtension(\"EXT_color_buffer_half_float\");this.RGBA16F=null!==(e=t.RGBA16F)&&void 0!==e?e:null==n?void 0:n.RGBA16F_EXT,this.RGB16F=null!==(r=t.RGB16F)&&void 0!==r?r:null==n?void 0:n.RGB16F_EXT,t.getExtension(\"EXT_color_buffer_float\")}else{t.getExtension(\"EXT_color_buffer_half_float\"),t.getExtension(\"OES_texture_half_float_linear\");const e=t.getExtension(\"OES_texture_half_float\");this.HALF_FLOAT=null==e?void 0:e.HALF_FLOAT_OES}}setDefault(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()}setDirty(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.bindVertexArray.dirty=!0,this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0}createIndexBuffer(t,e){return new Qe(this,t,e)}createVertexBuffer(t,e,r){return new er(this,t,e,r)}createRenderbuffer(t,e,r){const n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i}createFramebuffer(t,e,r,n){return new jr(this,t,e,r,n)}clear({color:t,depth:e,stencil:r}){const n=this.gl;let i=0;t&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(t),this.colorMask.set([!0,!0,!0,!0])),void 0!==e&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(e),this.depthMask.set(!0)),void 0!==r&&(i|=n.STENCIL_BUFFER_BIT,this.clearStencil.set(r),this.stencilMask.set(255)),n.clear(i)}setCullFace(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))}setDepthMode(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)}setStencilMode(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)}setColorMode(t){e.aF(t.blendFunction,Ur.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(t.blendFunction),this.blendColor.set(t.blendColor)),this.colorMask.set(t.mask)}createVertexArray(){var t;return nr(this.gl)?this.gl.createVertexArray():null===(t=this.gl.getExtension(\"OES_vertex_array_object\"))||void 0===t?void 0:t.createVertexArrayOES()}deleteVertexArray(t){var e;return nr(this.gl)?this.gl.deleteVertexArray(t):null===(e=this.gl.getExtension(\"OES_vertex_array_object\"))||void 0===e?void 0:e.deleteVertexArrayOES(t)}unbindVAO(){this.bindVertexArray.set(null)}}class qr{constructor(t,e,r){this.func=t,this.mask=e,this.range=r}}qr.ReadOnly=!1,qr.ReadWrite=!0,qr.disabled=new qr(519,qr.ReadOnly,[0,1]);const Hr=7680;class Gr{constructor(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a}}Gr.disabled=new Gr({func:519,mask:0},0,0,Hr,Hr,Hr);class Zr{constructor(t,e,r){this.enable=t,this.mode=e,this.frontFace=r}}let Wr;function Yr(t,r,n,i,a){const o=t.context,s=o.gl,l=t.useProgram(\"collisionBox\"),c=[];let u=0,h=0;for(let f=0;f<i.length;f++){const p=i[f],d=r.getTile(p).getBucket(n);if(!d)continue;const m=a?d.textCollisionBox:d.iconCollisionBox,g=d.collisionCircleArray;if(g.length>0){const r=e.H();e.aR(r,d.placementInvProjMatrix,t.transform.glCoordMatrix),e.aR(r,r,d.placementViewportMatrix),c.push({circleArray:g,circleOffset:h,transform:p.posMatrix,invTransform:r,coord:p}),u+=g.length/4,h=u}m&&l.draw(o,s.LINES,qr.disabled,Gr.disabled,t.colorModeForRenderPass(),Zr.disabled,Le(t.transform,p.posMatrix),t.style.map.terrain&&t.style.map.terrain.getTerrainData(p),n.id,m.layoutVertexBuffer,m.indexBuffer,m.segments,null,t.transform.zoom,null,null,m.collisionVertexBuffer)}if(!a||!c.length)return;const f=t.useProgram(\"collisionCircle\"),p=new e.aS;p.resize(4*u),p._trim();let d=0;for(const t of c)for(let e=0;e<t.circleArray.length/4;e++){const r=4*e,n=t.circleArray[r+0],i=t.circleArray[r+1],a=t.circleArray[r+2],o=t.circleArray[r+3];p.emplace(d++,n,i,a,o,0),p.emplace(d++,n,i,a,o,1),p.emplace(d++,n,i,a,o,2),p.emplace(d++,n,i,a,o,3)}(!Wr||Wr.length<2*u)&&(Wr=function(t){const r=2*t,n=new e.aU;n.resize(r),n._trim();for(let t=0;t<r;t++){const e=6*t;n.uint16[e+0]=4*t+0,n.uint16[e+1]=4*t+1,n.uint16[e+2]=4*t+2,n.uint16[e+3]=4*t+2,n.uint16[e+4]=4*t+3,n.uint16[e+5]=4*t+0}return n}(u));const m=o.createIndexBuffer(Wr,!0),g=o.createVertexBuffer(p,e.aT.members,!0);for(const r of c){const i=Ie(r.transform,r.invTransform,t.transform);f.draw(o,s.TRIANGLES,qr.disabled,Gr.disabled,t.colorModeForRenderPass(),Zr.disabled,i,t.style.map.terrain&&t.style.map.terrain.getTerrainData(r.coord),n.id,g,m,e.a0.simpleSegment(0,2*r.circleOffset,r.circleArray.length,r.circleArray.length/2),null,t.transform.zoom,null,null,null)}g.destroy(),m.destroy()}Zr.disabled=new Zr(!1,1029,2305),Zr.backCCW=new Zr(!0,1029,2305);const Xr=e.ao(new Float32Array(16));function $r(t,r,n,i,a){if(\"translucent\"!==t.renderPass)return;const o=Gr.disabled,s=t.colorModeForRenderPass();(n._unevaluatedLayout.hasValue(\"text-variable-anchor\")||n._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"))&&function(t,r,n,i,a,o,s,l,c){const u=r.transform,h=ie(),f=\"map\"===a,p=\"map\"===o;for(const a of t){const t=i.getTile(a),o=t.getBucket(n);if(!o||!o.text||!o.text.segments.get().length)continue;const d=o.textSizeData,m=e.ah(d,u.zoom),g=Nt(t,1,r.transform.zoom),y=_t(a.posMatrix,p,f,r.transform,g),v=\"none\"!==n.layout.get(\"icon-text-fit\")&&o.hasIconData();if(m){const e=Math.pow(2,u.zoom-t.tileID.overscaledZ),n=r.style.map.terrain?(t,e)=>r.style.map.terrain.getElevation(a,t,e):null,i=h.translatePosition(u,t,s,l);Qr(o,f,p,c,u,y,a.posMatrix,e,m,v,h,i,a.toUnwrapped(),n)}}}(i,t,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&en(t,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&en(t,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(Yr(t,r,n,i,!0),Yr(t,r,n,i,!1))}function Jr(t,r,n,i,a,o){const{horizontalAlign:s,verticalAlign:l}=e.av(t),c=-(s-.5)*r,u=-(l-.5)*n;return new e.P((c/a+i[0])*o,(u/a+i[1])*o)}function Kr(t,r,n,i,a,o){const s=r.tileAnchorPoint.add(new e.P(r.translation[0],r.translation[1]));if(r.pitchWithMap){let t=i.mult(o);return n||(t=t.rotate(-a)),wt(s.add(t),r.labelPlaneMatrix,r.getElevation).point}if(n){const e=It(r.tileAnchorPoint.x+1,r.tileAnchorPoint.y,r).point.sub(t),n=Math.atan(e.y/e.x)+(e.x<0?Math.PI:0);return t.add(i.rotate(n))}return t.add(i)}function Qr(t,r,n,i,a,o,s,l,c,u,h,f,p,d){const m=t.text.placedSymbolArray,g=t.text.dynamicLayoutVertexArray,y=t.icon.dynamicLayoutVertexArray,v={};g.clear();for(let y=0;y<m.length;y++){const x=m.get(y),_=t.allowVerticalPlacement&&!x.placedOrientation,b=x.hidden||!x.crossTileID||_?null:i[x.crossTileID];if(b){const i=new e.P(x.anchorX,x.anchorY),m={getElevation:d,width:a.width,height:a.height,labelPlaneMatrix:o,lineVertexArray:null,pitchWithMap:n,projection:h,projectionCache:null,tileAnchorPoint:i,translation:f,unwrappedTileID:p},y=n?wt(i,s,d):It(i.x,i.y,m),_=Tt(a.cameraToCenterDistance,y.signedDistanceFromCamera);let w=e.aj(t.textSizeData,c,x)*_/e.aq;n&&(w*=t.tilePixelRatio/l);const{width:T,height:k,anchor:A,textOffset:M,textBoxScale:S}=b,E=Jr(A,T,k,M,S,w),C=h.getPitchedTextCorrection(a,i.add(new e.P(f[0],f[1])),p),L=Kr(y.point,m,r,E,a.angle,C),I=t.allowVerticalPlacement&&x.placedOrientation===e.ai.vertical?Math.PI/2:0;for(let t=0;t<x.numGlyphs;t++)e.ak(g,L,I);u&&x.associatedIconIndex>=0&&(v[x.associatedIconIndex]={shiftedAnchor:L,angle:I})}else Rt(x.numGlyphs,g)}if(u){y.clear();const r=t.icon.placedSymbolArray;for(let t=0;t<r.length;t++){const n=r.get(t);if(n.hidden)Rt(n.numGlyphs,y);else{const r=v[t];if(r)for(let t=0;t<n.numGlyphs;t++)e.ak(y,r.shiftedAnchor,r.angle);else Rt(n.numGlyphs,y)}}t.icon.dynamicLayoutVertexBuffer.updateData(y)}t.text.dynamicLayoutVertexBuffer.updateData(g)}function tn(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function en(t,r,n,i,a,o,s,l,c,u,h,f){const p=t.context,d=p.gl,m=t.transform,g=ie(),y=\"map\"===l,v=\"map\"===c,x=\"viewport\"!==l&&\"point\"!==n.layout.get(\"symbol-placement\"),_=y&&!v&&!x,b=!v&&x,w=!n.layout.get(\"symbol-sort-key\").isConstant();let T=!1;const k=t.depthModeForSublayer(0,qr.ReadOnly),A=n._unevaluatedLayout.hasValue(\"text-variable-anchor\")||n._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"),M=[],S=g.getCircleRadiusCorrection(m);for(const l of i){const i=r.getTile(l),c=i.getBucket(n);if(!c)continue;const h=a?c.text:c.icon;if(!h||!h.segments.get().length||!h.hasVisibleVertices)continue;const f=h.programConfigurations.get(n.id),p=a||c.sdfIcons,k=a?c.textSizeData:c.iconSizeData,E=v||0!==m.pitch,C=t.useProgram(tn(p,a,c),f),L=e.ah(k,m.zoom),I=t.style.map.terrain&&t.style.map.terrain.getTerrainData(l);let P,z,O,D,R=[0,0],F=null;if(a){if(z=i.glyphAtlasTexture,O=d.LINEAR,P=i.glyphAtlasTexture.size,c.iconsInText){R=i.imageAtlasTexture.size,F=i.imageAtlasTexture;const e=\"composite\"===k.kind||\"camera\"===k.kind;D=E||t.options.rotating||t.options.zooming||e?d.LINEAR:d.NEAREST}}else{const e=1!==n.layout.get(\"icon-size\").constantOr(0)||c.iconsNeedLinear;z=i.imageAtlasTexture,O=p||t.options.rotating||t.options.zooming||e||E?d.LINEAR:d.NEAREST,P=i.imageAtlasTexture.size}const B=Nt(i,1,t.transform.zoom),N=b?l.posMatrix:Xr,j=_t(N,v,y,t.transform,B),U=bt(N,v,y,t.transform,B),V=bt(l.posMatrix,v,y,t.transform,B),q=g.translatePosition(t.transform,i,o,s),H=A&&c.hasTextData(),G=\"none\"!==n.layout.get(\"icon-text-fit\")&&H&&c.hasIconData();if(x){const e=t.style.map.terrain?(e,r)=>t.style.map.terrain.getElevation(l,e,r):null,r=\"map\"===n.layout.get(\"text-rotation-alignment\");At(c,l.posMatrix,t,a,j,V,v,u,r,g,l.toUnwrapped(),m.width,m.height,q,e)}const Z=l.posMatrix,W=a&&A||G,Y=x||W?Xr:j,X=U,$=p&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1);let J;J=p?c.iconsInText?Xe(k.kind,L,_,v,x,W,t,Z,Y,X,q,P,R,S):Ye(k.kind,L,_,v,x,W,t,Z,Y,X,q,a,P,!0,S):We(k.kind,L,_,v,x,W,t,Z,Y,X,q,a,P,S);const K={program:C,buffers:h,uniformValues:J,atlasTexture:z,atlasTextureIcon:F,atlasInterpolation:O,atlasInterpolationIcon:D,isSDF:p,hasHalo:$};if(w&&c.canOverlap){T=!0;const t=h.segments.get();for(const r of t)M.push({segments:new e.a0([r]),sortKey:r.sortKey,state:K,terrainData:I})}else M.push({segments:h.segments,sortKey:0,state:K,terrainData:I})}T&&M.sort(((t,e)=>t.sortKey-e.sortKey));for(const e of M){const r=e.state;if(p.activeTexture.set(d.TEXTURE0),r.atlasTexture.bind(r.atlasInterpolation,d.CLAMP_TO_EDGE),r.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),r.atlasTextureIcon&&r.atlasTextureIcon.bind(r.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),r.isSDF){const i=r.uniformValues;r.hasHalo&&(i.u_is_halo=1,rn(r.buffers,e.segments,n,t,r.program,k,h,f,i,e.terrainData)),i.u_is_halo=0}rn(r.buffers,e.segments,n,t,r.program,k,h,f,r.uniformValues,e.terrainData)}}function rn(t,e,r,n,i,a,o,s,l,c){const u=n.context,h=u.gl;i.draw(u,h.TRIANGLES,a,o,s,Zr.disabled,l,c,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function nn(t,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===t.renderPass){const a=t.context,o=a.gl,s=Gr.disabled,l=new Ur([o.ONE,o.ONE],e.aN.transparent,[!0,!0,!0,!0]);(function(t,e,r){const n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);let i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{const a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1,!1),function(t,e,r,n){var i,a;const o=t.gl,s=null!==(i=t.HALF_FLOAT)&&void 0!==i?i:o.UNSIGNED_BYTE,l=null!==(a=t.RGBA16F)&&void 0!==a?a:o.RGBA;o.texImage2D(o.TEXTURE_2D,0,l,e.width/4,e.height/4,0,o.RGBA,s,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,t,n),a.clear({color:e.aN.transparent});for(let e=0;e<i.length;e++){const c=i[e];if(r.hasRenderableParent(c))continue;const u=r.getTile(c),h=u.getBucket(n);if(!h)continue;const f=h.programConfigurations.get(n.id),p=t.useProgram(\"heatmap\",f),{zoom:d}=t.transform;p.draw(a,o.TRIANGLES,qr.disabled,s,l,Zr.disabled,Oe(c.posMatrix,u,d,n.paint.get(\"heatmap-intensity\")),null,n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,t.transform.zoom,f)}a.viewport.set([0,0,t.width,t.height])}else\"translucent\"===t.renderPass&&(t.context.setColorMode(t.colorModeForRenderPass()),function(t,e){const r=t.context,n=r.gl,i=e.heatmapFbo;if(!i)return;r.activeTexture.set(n.TEXTURE0),n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),r.activeTexture.set(n.TEXTURE1);let a=e.colorRampTexture;a||(a=e.colorRampTexture=new w(r,e.colorRamp,n.RGBA)),a.bind(n.LINEAR,n.CLAMP_TO_EDGE),t.useProgram(\"heatmapTexture\").draw(r,n.TRIANGLES,qr.disabled,Gr.disabled,t.colorModeForRenderPass(),Zr.disabled,De(t,e,0,1),null,e.id,t.viewportBuffer,t.quadTriangleIndexBuffer,t.viewportSegments,e.paint,t.transform.zoom)}(t,n))}function an(t,e,r,n,i){if(!r||!n||!n.imageAtlas)return;const a=n.imageAtlas.patternPositions;let o=a[r.to.toString()],s=a[r.from.toString()];if(!o&&s&&(o=s),!s&&o&&(s=o),!o||!s){const t=i.getPaintProperty(e);o=a[t],s=a[t]}o&&s&&t.setConstantPatternPositions(o,s)}function on(t,e,r,n,i,a,o){const s=t.context.gl,l=\"fill-pattern\",c=r.paint.get(l),u=c&&c.constantOr(1),h=r.getCrossfadeParameters();let f,p,d,m,g;o?(p=u&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",f=s.LINES):(p=u?\"fillPattern\":\"fill\",f=s.TRIANGLES);const y=c.constantOr(null);for(const c of n){const n=e.getTile(c);if(u&&!n.patternsLoaded())continue;const v=n.getBucket(r);if(!v)continue;const x=v.programConfigurations.get(r.id),_=t.useProgram(p,x),b=t.style.map.terrain&&t.style.map.terrain.getTerrainData(c);u&&(t.context.activeTexture.set(s.TEXTURE0),n.imageAtlasTexture.bind(s.LINEAR,s.CLAMP_TO_EDGE),x.updatePaintBuffers(h)),an(x,l,y,n,r);const w=b?c:null,T=w?w.posMatrix:c.posMatrix,k=t.translatePosMatrix(T,n,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){m=v.indexBuffer2,g=v.segments2;const e=[s.drawingBufferWidth,s.drawingBufferHeight];d=\"fillOutlinePattern\"===p&&u?Ee(k,t,h,n,e):Se(k,e)}else m=v.indexBuffer,g=v.segments,d=u?Me(k,t,h,n):Ae(k);_.draw(t.context,f,i,t.stencilModeForClipping(c),a,Zr.disabled,d,b,r.id,v.layoutVertexBuffer,m,g,r.paint,t.transform.zoom,x)}}function sn(t,e,r,n,i,a,o){const s=t.context,l=s.gl,c=\"fill-extrusion-pattern\",u=r.paint.get(c),h=u.constantOr(1),f=r.getCrossfadeParameters(),p=r.paint.get(\"fill-extrusion-opacity\"),d=u.constantOr(null);for(const u of n){const n=e.getTile(u),m=n.getBucket(r);if(!m)continue;const g=t.style.map.terrain&&t.style.map.terrain.getTerrainData(u),y=m.programConfigurations.get(r.id),v=t.useProgram(h?\"fillExtrusionPattern\":\"fillExtrusion\",y);h&&(t.context.activeTexture.set(l.TEXTURE0),n.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f)),an(y,c,d,n,r);const x=t.translatePosMatrix(u.posMatrix,n,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),_=r.paint.get(\"fill-extrusion-vertical-gradient\"),b=h?ke(x,t,_,p,u,f,n):Te(x,t,_,p);v.draw(s,s.gl.TRIANGLES,i,a,o,Zr.backCCW,b,g,r.id,m.layoutVertexBuffer,m.indexBuffer,m.segments,r.paint,t.transform.zoom,y,t.style.map.terrain&&m.centroidVertexBuffer)}}function ln(t,e,r,n,i,a,o){const s=t.context,l=s.gl,c=r.fbo;if(!c)return;const u=t.useProgram(\"hillshade\"),h=t.style.map.terrain&&t.style.map.terrain.getTerrainData(e);s.activeTexture.set(l.TEXTURE0),l.bindTexture(l.TEXTURE_2D,c.colorAttachment.get());const f=h?e:null;u.draw(s,l.TRIANGLES,i,a,o,Zr.disabled,Re(t,r,n,f),h,n.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}function cn(t,e,r,n,i,a){const o=t.context,s=o.gl,l=e.dem;if(l&&l.data){const c=l.dim,u=l.stride,h=l.getPixels();if(o.activeTexture.set(s.TEXTURE1),o.pixelStoreUnpackPremultiplyAlpha.set(!1),e.demTexture=e.demTexture||t.getTileTexture(u),e.demTexture){const t=e.demTexture;t.update(h,{premultiply:!1}),t.bind(s.NEAREST,s.CLAMP_TO_EDGE)}else e.demTexture=new w(o,h,s.RGBA,{premultiply:!1}),e.demTexture.bind(s.NEAREST,s.CLAMP_TO_EDGE);o.activeTexture.set(s.TEXTURE0);let f=e.fbo;if(!f){const t=new w(o,{width:c,height:c,data:null},s.RGBA);t.bind(s.LINEAR,s.CLAMP_TO_EDGE),f=e.fbo=o.createFramebuffer(c,c,!0,!1),f.colorAttachment.set(t.texture)}o.bindFramebuffer.set(f.framebuffer),o.viewport.set([0,0,c,c]),t.useProgram(\"hillshadePrepare\").draw(o,s.TRIANGLES,n,i,a,Zr.disabled,Fe(e.tileID,l),null,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments),e.needsHillshadePrepare=!1}}function un(t,r,n,i,o,s){const l=i.paint.get(\"raster-fade-duration\");if(!s&&l>0){const i=a.now(),s=(i-t.timeAdded)/l,c=r?(i-r.timeAdded)/l:-1,u=n.getSource(),h=o.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),f=!r||Math.abs(r.tileID.overscaledZ-h)>Math.abs(t.tileID.overscaledZ-h),p=f&&t.refreshedUponExpiration?1:e.ad(f?s:1-c,0,1);return t.refreshedUponExpiration&&s>=1&&(t.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}const hn=new e.aN(1,0,0,1),fn=new e.aN(0,1,0,1),pn=new e.aN(0,0,1,1),dn=new e.aN(1,0,1,1),mn=new e.aN(0,1,1,1);function gn(t){const e=t.transform.padding;yn(t,t.transform.height-(e.top||0),3,hn),yn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,pn),vn(t,t.transform.width-(e.right||0),3,dn);const r=t.transform.centerPoint;!function(t,e,r,n){const i=20,a=2;xn(t,e-a/2,r-i/2,a,i,n),xn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,mn)}function yn(t,e,r,n){xn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){xn(t,e-r/2,0,r,t.transform.height,n)}function xn(t,e,r,n,i,a){const o=t.context,s=o.gl;s.enable(s.SCISSOR_TEST),s.scissor(e*t.pixelRatio,r*t.pixelRatio,n*t.pixelRatio,i*t.pixelRatio),o.clear({color:a}),s.disable(s.SCISSOR_TEST)}function _n(t,r,n){const i=t.context,a=i.gl,o=n.posMatrix,s=t.useProgram(\"debug\"),l=qr.disabled,c=Gr.disabled,u=t.colorModeForRenderPass(),h=\"$debug\",f=t.style.map.terrain&&t.style.map.terrain.getTerrainData(n);i.activeTexture.set(a.TEXTURE0);const p=r.getTileByID(n.key).latestRawTileData,d=p&&p.byteLength||0,m=Math.floor(d/1024),g=r.getTile(n).tileSize,y=512/Math.min(g,512)*(n.overscaledZ/t.transform.zoom)*.5;let v=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(v+=` => ${n.overscaledZ}`),function(t,e){t.initDebugOverlayCanvas();const r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(t,`${v} ${m}kB`),s.draw(i,a.TRIANGLES,l,c,Ur.alphaBlended,Zr.disabled,Pe(o,e.aN.transparent,y),null,h,t.debugBuffer,t.quadTriangleIndexBuffer,t.debugSegments),s.draw(i,a.LINE_STRIP,l,c,u,Zr.disabled,Pe(o,e.aN.red),f,h,t.debugBuffer,t.tileBorderIndexBuffer,t.debugSegments)}function bn(t,e,r){const n=t.context,i=n.gl,a=t.colorModeForRenderPass(),o=new qr(i.LEQUAL,qr.ReadWrite,t.depthRangeFor3D),s=t.useProgram(\"terrain\"),l=e.getTerrainMesh();n.bindFramebuffer.set(null),n.viewport.set([0,0,t.width,t.height]);for(const c of r){const r=t.renderToTexture.getTexture(c),u=e.getTerrainData(c.tileID);n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,r.texture);const h=t.transform.calculatePosMatrix(c.tileID.toUnwrapped()),f=e.getMeshFrameDelta(t.transform.zoom),p=t.transform.calculateFogMatrix(c.tileID.toUnwrapped()),d=xe(h,f,p,t.style.sky,t.transform.pitch);s.draw(n,i.TRIANGLES,o,Gr.disabled,a,Zr.backCCW,d,u,\"terrain\",l.vertexBuffer,l.indexBuffer,l.segments)}}class wn{constructor(t,e,r){this.vertexBuffer=t,this.indexBuffer=e,this.segments=r}destroy(){this.vertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.vertexBuffer=null,this.indexBuffer=null,this.segments=null}}class Tn{constructor(t,r){this.context=new Vr(t),this.transform=r,this._tileTextures={},this.terrainFacilitator={dirty:!0,matrix:e.ao(new Float64Array(16)),renderTime:0},this.setup(),this.numSublayers=dt.maxUnderzooming+dt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new he}resize(t,e,r){if(this.width=Math.floor(t*r),this.height=Math.floor(e*r),this.pixelRatio=r,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(const t of this.style._order)this.style._layers[t].resize()}setup(){const t=this.context,r=new e.aX;r.emplaceBack(0,0),r.emplaceBack(e.X,0),r.emplaceBack(0,e.X),r.emplaceBack(e.X,e.X),this.tileExtentBuffer=t.createVertexBuffer(r,me.members),this.tileExtentSegments=e.a0.simpleSegment(0,0,4,2);const n=new e.aX;n.emplaceBack(0,0),n.emplaceBack(e.X,0),n.emplaceBack(0,e.X),n.emplaceBack(e.X,e.X),this.debugBuffer=t.createVertexBuffer(n,me.members),this.debugSegments=e.a0.simpleSegment(0,0,4,5);const i=new e.$;i.emplaceBack(0,0,0,0),i.emplaceBack(e.X,0,e.X,0),i.emplaceBack(0,e.X,0,e.X),i.emplaceBack(e.X,e.X,e.X,e.X),this.rasterBoundsBuffer=t.createVertexBuffer(i,et.members),this.rasterBoundsSegments=e.a0.simpleSegment(0,0,4,2);const a=new e.aX;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=t.createVertexBuffer(a,me.members),this.viewportSegments=e.a0.simpleSegment(0,0,4,2);const o=new e.aZ;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=t.createIndexBuffer(o);const s=new e.aY;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=t.createIndexBuffer(s);const l=this.context.gl;this.stencilClearMode=new Gr({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)}clearStencil(){const t=this.context,r=t.gl;this.nextStencilID=1,this.currentStencilSource=void 0;const n=e.H();e.aQ(n,0,this.width,this.height,0,0,1),e.K(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(t,r.TRIANGLES,qr.disabled,this.stencilClearMode,Ur.disabled,Zr.disabled,ze(n),null,\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)}_renderTileClippingMasks(t,e){if(this.currentStencilSource===t.source||!t.isTileClipped()||!e||!e.length)return;this.currentStencilSource=t.source;const r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Ur.disabled),r.setDepthMode(qr.disabled);const i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(const t of e){const e=this._tileClippingMaskIDs[t.key]=this.nextStencilID++,a=this.style.map.terrain&&this.style.map.terrain.getTerrainData(t);i.draw(r,n.TRIANGLES,qr.disabled,new Gr({func:n.ALWAYS,mask:0},e,255,n.KEEP,n.KEEP,n.REPLACE),Ur.disabled,Zr.disabled,ze(t.posMatrix),a,\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}stencilModeFor3D(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();const t=this.nextStencilID++,e=this.context.gl;return new Gr({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)}stencilModeForClipping(t){const e=this.context.gl;return new Gr({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)}stencilConfigForOverlap(t){const e=this.context.gl,r=t.sort(((t,e)=>e.overscaledZ-t.overscaledZ)),n=r[r.length-1].overscaledZ,i=r[0].overscaledZ-n+1;if(i>1){this.currentStencilSource=void 0,this.nextStencilID+i>256&&this.clearStencil();const t={};for(let r=0;r<i;r++)t[r+n]=new Gr({func:e.GEQUAL,mask:255},r+this.nextStencilID,255,e.KEEP,e.KEEP,e.REPLACE);return this.nextStencilID+=i,[t,r]}return[{[n]:Gr.disabled},r]}colorModeForRenderPass(){const t=this.context.gl;if(this._showOverdrawInspector){const r=1/8;return new Ur([t.CONSTANT_COLOR,t.ONE],new e.aN(r,r,r,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Ur.unblended:Ur.alphaBlended}depthModeForSublayer(t,e,r){if(!this.opaquePassEnabledForLayer())return qr.disabled;const n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new qr(r||this.context.gl.LEQUAL,e,[n,n])}opaquePassEnabledForLayer(){return this.currentLayer<this.opaquePassCutoff}render(t,r){var n;this.style=t,this.options=r,this.lineAtlas=t.lineAtlas,this.imageManager=t.imageManager,this.glyphManager=t.glyphManager,this.symbolFadeChange=t.placement.symbolFadeChange(a.now()),this.imageManager.beginFrame();const i=this.style._order,o=this.style.sourceCaches,s={},l={},c={};for(const t in o){const e=o[t];e.used&&e.prepare(this.context),s[t]=e.getVisibleCoordinates(),l[t]=s[t].slice().reverse(),c[t]=e.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(let t=0;t<i.length;t++){const e=i[t];if(this.style._layers[e].is3D()){this.opaquePassCutoff=t;break}}this.maybeDrawDepthAndCoords(!1),this.renderToTexture&&(this.renderToTexture.prepareForRender(this.style,this.transform.zoom),this.opaquePassCutoff=0),this.renderPass=\"offscreen\";for(const t of i){const e=this.style._layers[t];if(!e.hasOffscreenPass()||e.isHidden(this.transform.zoom))continue;const r=l[e.source];(\"custom\"===e.type||r.length)&&this.renderLayer(this,o[e.source],e,r)}if(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?e.aN.black:e.aN.transparent,depth:1}),this.clearStencil(),(null===(n=this.style.stylesheet)||void 0===n?void 0:n.sky)&&function(t,r){const n=t.context,i=n.gl,a=((t,e,r)=>({u_sky_color:t.properties.get(\"sky-color\"),u_horizon_color:t.properties.get(\"horizon-color\"),u_horizon:(e.height/2+e.getHorizon())*r,u_sky_horizon_blend:t.properties.get(\"sky-horizon-blend\")*e.height/2*r}))(r,t.style.map.transform,t.pixelRatio),o=new qr(i.LEQUAL,qr.ReadWrite,[0,1]),s=Gr.disabled,l=t.colorModeForRenderPass(),c=t.useProgram(\"sky\");if(!r.mesh){const t=new e.aX;t.emplaceBack(-1,-1),t.emplaceBack(1,-1),t.emplaceBack(1,1),t.emplaceBack(-1,1);const i=new e.aY;i.emplaceBack(0,1,2),i.emplaceBack(0,2,3),r.mesh=new wn(n.createVertexBuffer(t,me.members),n.createIndexBuffer(i),e.a0.simpleSegment(0,0,t.length,i.length))}c.draw(n,i.TRIANGLES,o,s,l,Zr.disabled,a,void 0,\"sky\",r.mesh.vertexBuffer,r.mesh.indexBuffer,r.mesh.segments)}(this,this.style.sky),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(t._order.length+2)*this.numSublayers*this.depthEpsilon],!this.renderToTexture)for(this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){const t=this.style._layers[i[this.currentLayer]],e=o[t.source],r=s[t.source];this._renderTileClippingMasks(t,r),this.renderLayer(this,e,t,r)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){const t=this.style._layers[i[this.currentLayer]],e=o[t.source];if(this.renderToTexture&&this.renderToTexture.renderLayer(t))continue;const r=(\"symbol\"===t.type?c:l)[t.source];this._renderTileClippingMasks(t,s[t.source]),this.renderLayer(this,e,t,r)}if(this.options.showTileBoundaries){const t=function(t,e){let r=null;const n=Object.values(t._layers).flatMap((r=>r.source&&!r.isHidden(e)?[t.sourceCaches[r.source]]:[])),i=n.filter((t=>\"vector\"===t.getSource().type)),a=n.filter((t=>\"vector\"!==t.getSource().type)),o=t=>{(!r||r.getSource().maxzoom<t.getSource().maxzoom)&&(r=t)};return i.forEach((t=>o(t))),r||a.forEach((t=>o(t))),r}(this.style,this.transform.zoom);t&&function(t,e,r){for(let n=0;n<r.length;n++)_n(t,e,r[n])}(this,t,t.getVisibleCoordinates())}this.options.showPadding&&gn(this),this.context.setDefault()}maybeDrawDepthAndCoords(t){if(!this.style||!this.style.map||!this.style.map.terrain)return;const r=this.terrainFacilitator.matrix,n=this.transform.modelViewProjectionMatrix;let i=this.terrainFacilitator.dirty;i||(i=t?!e.a_(r,n):!e.a$(r,n)),i||(i=this.style.map.terrain.sourceCache.tilesAfterTime(this.terrainFacilitator.renderTime).length>0),i&&(e.b0(r,n),this.terrainFacilitator.renderTime=Date.now(),this.terrainFacilitator.dirty=!1,function(t,r){const n=t.context,i=n.gl,a=Ur.unblended,o=new qr(i.LEQUAL,qr.ReadWrite,[0,1]),s=r.getTerrainMesh(),l=r.sourceCache.getRenderableTiles(),c=t.useProgram(\"terrainDepth\");n.bindFramebuffer.set(r.getFramebuffer(\"depth\").framebuffer),n.viewport.set([0,0,t.width/devicePixelRatio,t.height/devicePixelRatio]),n.clear({color:e.aN.transparent,depth:1});for(const e of l){const l=r.getTerrainData(e.tileID),u={u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped()),u_ele_delta:r.getMeshFrameDelta(t.transform.zoom)};c.draw(n,i.TRIANGLES,o,Gr.disabled,a,Zr.backCCW,u,l,\"terrain\",s.vertexBuffer,s.indexBuffer,s.segments)}n.bindFramebuffer.set(null),n.viewport.set([0,0,t.width,t.height])}(this,this.style.map.terrain),function(t,r){const n=t.context,i=n.gl,a=Ur.unblended,o=new qr(i.LEQUAL,qr.ReadWrite,[0,1]),s=r.getTerrainMesh(),l=r.getCoordsTexture(),c=r.sourceCache.getRenderableTiles(),u=t.useProgram(\"terrainCoords\");n.bindFramebuffer.set(r.getFramebuffer(\"coords\").framebuffer),n.viewport.set([0,0,t.width/devicePixelRatio,t.height/devicePixelRatio]),n.clear({color:e.aN.transparent,depth:1}),r.coordsIndex=[];for(const e of c){const c=r.getTerrainData(e.tileID);n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,l.texture);const h={u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped()),u_terrain_coords_id:(255-r.coordsIndex.length)/255,u_texture:0,u_ele_delta:r.getMeshFrameDelta(t.transform.zoom)};u.draw(n,i.TRIANGLES,o,Gr.disabled,a,Zr.backCCW,h,c,\"terrain\",s.vertexBuffer,s.indexBuffer,s.segments),r.coordsIndex.push(e.tileID.key)}n.bindFramebuffer.set(null),n.viewport.set([0,0,t.width,t.height])}(this,this.style.map.terrain))}renderLayer(t,r,n,i){if(!n.isHidden(this.transform.zoom)&&(\"background\"===n.type||\"custom\"===n.type||(i||[]).length))switch(this.id=n.id,n.type){case\"symbol\":$r(t,r,n,i,this.style.placement.variableOffsets);break;case\"circle\":!function(t,r,n,i){if(\"translucent\"!==t.renderPass)return;const a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=!n.layout.get(\"circle-sort-key\").isConstant();if(0===a.constantOr(1)&&(0===o.constantOr(1)||0===s.constantOr(1)))return;const c=t.context,u=c.gl,h=t.depthModeForSublayer(0,qr.ReadOnly),f=Gr.disabled,p=t.colorModeForRenderPass(),d=[];for(let a=0;a<i.length;a++){const o=i[a],s=r.getTile(o),c=s.getBucket(n);if(!c)continue;const u=c.programConfigurations.get(n.id),h=t.useProgram(\"circle\",u),f=c.layoutVertexBuffer,p=c.indexBuffer,m=t.style.map.terrain&&t.style.map.terrain.getTerrainData(o),g={programConfiguration:u,program:h,layoutVertexBuffer:f,indexBuffer:p,uniformValues:Ce(t,o,s,n),terrainData:m};if(l){const t=c.segments.get();for(const r of t)d.push({segments:new e.a0([r]),sortKey:r.sortKey,state:g})}else d.push({segments:c.segments,sortKey:0,state:g})}l&&d.sort(((t,e)=>t.sortKey-e.sortKey));for(const e of d){const{programConfiguration:r,program:i,layoutVertexBuffer:a,indexBuffer:o,uniformValues:s,terrainData:l}=e.state,d=e.segments;i.draw(c,u.TRIANGLES,h,f,p,Zr.disabled,s,l,n.id,a,o,d,n.paint,t.transform.zoom,r)}}(t,r,n,i);break;case\"heatmap\":nn(t,r,n,i);break;case\"line\":!function(t,r,n,i){if(\"translucent\"!==t.renderPass)return;const a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0===a.constantOr(1)||0===o.constantOr(1))return;const s=t.depthModeForSublayer(0,qr.ReadOnly),l=t.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),h=u.constantOr(1),f=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=h?\"linePattern\":c?\"lineSDF\":f?\"lineGradient\":\"line\",m=t.context,g=m.gl;let y=!0;for(const a of i){const i=r.getTile(a);if(h&&!i.patternsLoaded())continue;const o=i.getBucket(n);if(!o)continue;const v=o.programConfigurations.get(n.id),x=t.context.program.get(),_=t.useProgram(d,v),b=y||_.program!==x,T=t.style.map.terrain&&t.style.map.terrain.getTerrainData(a),k=u.constantOr(null);if(k&&i.imageAtlas){const t=i.imageAtlas,e=t.patternPositions[k.to.toString()],r=t.patternPositions[k.from.toString()];e&&r&&v.setConstantPatternPositions(e,r)}const A=T?a:null,M=h?Ue(t,i,n,p,A):c?Ve(t,i,n,c,p,A):f?je(t,i,n,o.lineClipsArray.length,A):Ne(t,i,n,A);if(h)m.activeTexture.set(g.TEXTURE0),i.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),v.updatePaintBuffers(p);else if(c&&(b||t.lineAtlas.dirty))m.activeTexture.set(g.TEXTURE0),t.lineAtlas.bind(m);else if(f){const i=o.gradients[n.id];let s=i.texture;if(n.gradientVersion!==i.version){let l=256;if(n.stepInterpolant){const n=r.getSource().maxzoom,i=a.canonical.z===n?Math.ceil(1<<t.transform.maxZoom-a.canonical.z):1,s=o.maxLineLength/e.X*1024*i;l=e.ad(e.aV(s),256,m.maxTextureSize)}i.gradient=e.aW({expression:n.gradientExpression(),evaluationKey:\"lineProgress\",resolution:l,image:i.gradient||void 0,clips:o.lineClipsArray}),i.texture?i.texture.update(i.gradient):i.texture=new w(m,i.gradient,g.RGBA),i.version=n.gradientVersion,s=i.texture}m.activeTexture.set(g.TEXTURE0),s.bind(n.stepInterpolant?g.NEAREST:g.LINEAR,g.CLAMP_TO_EDGE)}_.draw(m,g.TRIANGLES,s,t.stencilModeForClipping(a),l,Zr.disabled,M,T,n.id,o.layoutVertexBuffer,o.indexBuffer,o.segments,n.paint,t.transform.zoom,v,o.layoutVertexBuffer2),y=!1}}(t,r,n,i);break;case\"fill\":!function(t,r,n,i){const a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0===o.constantOr(1))return;const s=t.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=t.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(e.aN.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(t.renderPass===c){const e=t.depthModeForSublayer(1,\"opaque\"===t.renderPass?qr.ReadWrite:qr.ReadOnly);on(t,r,n,i,e,s,!1)}if(\"translucent\"===t.renderPass&&n.paint.get(\"fill-antialias\")){const e=t.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,qr.ReadOnly);on(t,r,n,i,e,s,!0)}}(t,r,n,i);break;case\"fill-extrusion\":!function(t,e,r,n){const i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){const a=new qr(t.context.gl.LEQUAL,qr.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))sn(t,e,r,n,a,Gr.disabled,Ur.disabled),sn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{const i=t.colorModeForRenderPass();sn(t,e,r,n,a,Gr.disabled,i)}}}(t,r,n,i);break;case\"hillshade\":!function(t,e,r,n){if(\"offscreen\"!==t.renderPass&&\"translucent\"!==t.renderPass)return;const i=t.context,a=t.depthModeForSublayer(0,qr.ReadOnly),o=t.colorModeForRenderPass(),[s,l]=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n];for(const n of l){const i=e.getTile(n);void 0!==i.needsHillshadePrepare&&i.needsHillshadePrepare&&\"offscreen\"===t.renderPass?cn(t,i,r,a,Gr.disabled,o):\"translucent\"===t.renderPass&&ln(t,n,i,r,a,s[n.overscaledZ],o)}i.viewport.set([0,0,t.width,t.height])}(t,r,n,i);break;case\"raster\":!function(t,e,r,n){if(\"translucent\"!==t.renderPass)return;if(0===r.paint.get(\"raster-opacity\"))return;if(!n.length)return;const i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),[c,u]=o instanceof rt?[{},n]:t.stencilConfigForOverlap(n),h=u[u.length-1].overscaledZ,f=!t.options.moving;for(const n of u){const u=t.depthModeForSublayer(n.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?qr.ReadWrite:qr.ReadOnly,a.LESS),p=e.getTile(n);p.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));const d=e.findLoadedParent(n,0),m=e.findLoadedSibling(n),g=un(p,d||m||null,e,r,t.transform,t.style.map.terrain);let y,v;const x=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),p.texture.bind(x,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),d?(d.texture.bind(x,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),y=Math.pow(2,d.tileID.overscaledZ-p.tileID.overscaledZ),v=[p.tileID.canonical.x*y%1,p.tileID.canonical.y*y%1]):p.texture.bind(x,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),p.texture.useMipmap&&i.extTextureFilterAnisotropic&&t.transform.pitch>20&&a.texParameterf(a.TEXTURE_2D,i.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,i.extTextureFilterAnisotropicMax);const _=t.style.map.terrain&&t.style.map.terrain.getTerrainData(n),b=_?n:null,w=b?b.posMatrix:t.transform.calculatePosMatrix(n.toUnwrapped(),f),T=Ge(w,v||[0,0],y||1,g,r);o instanceof rt?s.draw(i,a.TRIANGLES,u,Gr.disabled,l,Zr.disabled,T,_,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,u,c[n.overscaledZ],l,Zr.disabled,T,_,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}(t,r,n,i);break;case\"background\":!function(t,e,r,n){const i=r.paint.get(\"background-color\"),a=r.paint.get(\"background-opacity\");if(0===a)return;const o=t.context,s=o.gl,l=t.transform,c=l.tileSize,u=r.paint.get(\"background-pattern\");if(t.isPatternMissing(u))return;const h=!u&&1===i.a&&1===a&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass!==h)return;const f=Gr.disabled,p=t.depthModeForSublayer(0,\"opaque\"===h?qr.ReadWrite:qr.ReadOnly),d=t.colorModeForRenderPass(),m=t.useProgram(u?\"backgroundPattern\":\"background\"),g=n||l.coveringTiles({tileSize:c,terrain:t.style.map.terrain});u&&(o.activeTexture.set(s.TEXTURE0),t.imageManager.bind(t.context));const y=r.getCrossfadeParameters();for(const e of g){const l=n?e.posMatrix:t.transform.calculatePosMatrix(e.toUnwrapped()),h=u?Je(l,a,t,u,{tileID:e,tileSize:c},y):$e(l,a,i),g=t.style.map.terrain&&t.style.map.terrain.getTerrainData(e);m.draw(o,s.TRIANGLES,p,f,d,Zr.disabled,h,g,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}(t,0,n,i);break;case\"custom\":!function(t,e,r){const n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){const e=i.prerender;e&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),e.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Gr.disabled);const e=\"3d\"===i.renderingMode?new qr(t.context.gl.LEQUAL,qr.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,qr.ReadOnly);n.setDepthMode(e),i.render(n.gl,t.transform.customLayerMatrix(),{farZ:t.transform.farZ,nearZ:t.transform.nearZ,fov:t.transform._fov,modelViewProjectionMatrix:t.transform.modelViewProjectionMatrix,projectionMatrix:t.transform.projectionMatrix}),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}(t,0,n)}}translatePosMatrix(t,r,n,i,a){if(!n[0]&&!n[1])return t;const o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){const t=Math.sin(o),e=Math.cos(o);n=[n[0]*e-n[1]*t,n[0]*t+n[1]*e]}const s=[a?n[0]:Nt(r,n[0],this.transform.zoom),a?n[1]:Nt(r,n[1],this.transform.zoom),0],l=new Float32Array(16);return e.J(l,t,s),l}saveTileTexture(t){const e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]}getTileTexture(t){const e=this._tileTextures[t];return e&&e.length>0?e.pop():null}isPatternMissing(t){if(!t)return!1;if(!t.from||!t.to)return!0;const e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r}useProgram(t,e){this.cache=this.cache||{};const r=t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\")+(this.style.map.terrain?\"/terrain\":\"\");return this.cache[r]||(this.cache[r]=new be(this.context,ge[t],e,Ke[t],this._showOverdrawInspector,this.style.map.terrain)),this.cache[r]}setCustomLayerDefaults(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()}setBaseState(){const 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)}initDebugOverlayCanvas(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;const t=this.context.gl;this.debugOverlayTexture=new w(this.context,this.debugOverlayCanvas,t.RGBA)}}destroy(){this.debugOverlayTexture&&this.debugOverlayTexture.destroy()}overLimit(){const{drawingBufferWidth:t,drawingBufferHeight:e}=this.context.gl;return this.width!==t||this.height!==e}}class kn{constructor(t,e){this.points=t,this.planes=e}static fromInvProjectionMatrix(t,r,n){const 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((n=>{const a=1/(n=e.ag([],n,t))[3]/r*i;return e.b1(n,n,[a,a,1/n[3],a])})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((t=>{const e=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t}([],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}([],y([],a[t[0]],a[t[1]]),y([],a[t[2]],a[t[1]]))),r=(n=e,i=a[t[1]],-(n[0]*i[0]+n[1]*i[1]+n[2]*i[2]));var n,i;return e.concat(r)}));return new kn(a,o)}}class An{constructor(t,e){this.min=t,this.max=e,this.center=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t}([],function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t}([],this.min,this.max),.5)}quadrant(t){const e=[t%2==0,t<2],r=m(this.min),n=m(this.max);for(let t=0;t<e.length;t++)r[t]=e[t]?this.min[t]:this.center[t],n[t]=e[t]?this.center[t]:this.max[t];return n[2]=this.max[2],new An(r,n)}distanceX(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]}distanceY(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]}intersects(t){const r=[[this.min[0],this.min[1],this.min[2],1],[this.max[0],this.min[1],this.min[2],1],[this.max[0],this.max[1],this.min[2],1],[this.min[0],this.max[1],this.min[2],1],[this.min[0],this.min[1],this.max[2],1],[this.max[0],this.min[1],this.max[2],1],[this.max[0],this.max[1],this.max[2],1],[this.min[0],this.max[1],this.max[2],1]];let n=!0;for(let i=0;i<t.planes.length;i++){const a=t.planes[i];let o=0;for(let t=0;t<r.length;t++)e.b2(a,r[t])>=0&&o++;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(let e=0;e<3;e++){let r=Number.MAX_VALUE,n=-Number.MAX_VALUE;for(let i=0;i<t.points.length;i++){const a=t.points[i][e]-this.min[e];r=Math.min(r,a),n=Math.max(n,a)}if(n<0||r>this.max[e]-this.min[e])return 0}return 1}}class Mn{constructor(t=0,e=0,r=0,n=0){if(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}interpolate(t,r,n){return null!=r.top&&null!=t.top&&(this.top=e.z.number(t.top,r.top,n)),null!=r.bottom&&null!=t.bottom&&(this.bottom=e.z.number(t.bottom,r.bottom,n)),null!=r.left&&null!=t.left&&(this.left=e.z.number(t.left,r.left,n)),null!=r.right&&null!=t.right&&(this.right=e.z.number(t.right,r.right,n)),this}getCenter(t,r){const n=e.ad((this.left+t-this.right)/2,0,t),i=e.ad((this.top+r-this.bottom)/2,0,r);return new e.P(n,i)}equals(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right}clone(){return new Mn(this.top,this.bottom,this.left,this.right)}toJSON(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}}}const Sn=85.051129;class En{constructor(t,r,n,i,a){this.tileSize=512,this._renderWorldCopies=void 0===a||!!a,this._minZoom=t||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 e.N(0,0),this._elevation=0,this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Mn,this._posMatrixCache={},this._alignedPosMatrixCache={},this._fogMatrixCache={},this.minElevationForCurrentTile=0}clone(){const t=new En(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.apply(this),t}apply(t){this.tileSize=t.tileSize,this.latRange=t.latRange,this.width=t.width,this.height=t.height,this._center=t._center,this._elevation=t._elevation,this.minElevationForCurrentTile=t.minElevationForCurrentTile,this.zoom=t.zoom,this.angle=t.angle,this._fov=t._fov,this._pitch=t._pitch,this._unmodified=t._unmodified,this._edgeInsets=t._edgeInsets.clone(),this._calcMatrices()}get minZoom(){return this._minZoom}set minZoom(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))}get maxZoom(){return this._maxZoom}set maxZoom(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))}get minPitch(){return this._minPitch}set minPitch(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))}get maxPitch(){return this._maxPitch}set maxPitch(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))}get renderWorldCopies(){return this._renderWorldCopies}set renderWorldCopies(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t}get worldSize(){return this.tileSize*this.scale}get centerOffset(){return this.centerPoint._sub(this.size._div(2))}get size(){return new e.P(this.width,this.height)}get bearing(){return-this.angle/Math.PI*180}set bearing(t){const r=-e.b3(t,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=function(){var t=new e.A(4);return e.A!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t}(),function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=Math.sin(r),l=Math.cos(r);t[0]=n*l+a*s,t[1]=i*l+o*s,t[2]=n*-s+a*l,t[3]=i*-s+o*l}(this.rotationMatrix,this.rotationMatrix,this.angle))}get pitch(){return this._pitch/Math.PI*180}set pitch(t){const r=e.ad(t,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())}get fov(){return this._fov/Math.PI*180}set fov(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())}get zoom(){return this._zoom}set zoom(t){const e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.tileZoom=Math.max(0,Math.floor(e)),this.scale=this.zoomScale(e),this._constrain(),this._calcMatrices())}get center(){return this._center}set center(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())}get elevation(){return this._elevation}set elevation(t){t!==this._elevation&&(this._elevation=t,this._constrain(),this._calcMatrices())}get padding(){return this._edgeInsets.toJSON()}set padding(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())}get centerPoint(){return this._edgeInsets.getCenter(this.width,this.height)}isPaddingEqual(t){return this._edgeInsets.equals(t)}interpolatePadding(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()}coveringZoomLevel(t){const e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)}getVisibleUnwrappedCoordinates(t){const r=[new e.b4(0,t)];if(this._renderWorldCopies){const n=this.pointCoordinate(new e.P(0,0)),i=this.pointCoordinate(new e.P(this.width,0)),a=this.pointCoordinate(new e.P(this.width,this.height)),o=this.pointCoordinate(new e.P(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)),c=1;for(let n=s-c;n<=l+c;n++)0!==n&&r.push(new e.b4(n,t))}return r}coveringTiles(t){var r,n;let i=this.coveringZoomLevel(t);const a=i;if(void 0!==t.minzoom&&i<t.minzoom)return[];void 0!==t.maxzoom&&i>t.maxzoom&&(i=t.maxzoom);const o=this.pointCoordinate(this.getCameraPoint()),s=e.Z.fromLngLat(this.center),l=Math.pow(2,i),c=[l*o.x,l*o.y,0],u=[l*s.x,l*s.y,0],h=kn.fromInvProjectionMatrix(this.invModelViewProjectionMatrix,this.worldSize,i);let f=t.minzoom||0;!t.terrain&&this.pitch<=60&&this._edgeInsets.top<.1&&(f=i);const p=t.terrain?2/Math.min(this.tileSize,t.tileSize)*this.tileSize:3,d=t=>({aabb:new An([t*l,0,0],[(t+1)*l,l,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}),m=[],g=[],y=i,x=t.reparseOverscaled?a:i;if(this._renderWorldCopies)for(let t=1;t<=3;t++)m.push(d(-t)),m.push(d(t));for(m.push(d(0));m.length>0;){const i=m.pop(),a=i.x,o=i.y;let s=i.fullyVisible;if(!s){const t=i.aabb.intersects(h);if(0===t)continue;s=2===t}const l=t.terrain?c:u,d=i.aabb.distanceX(l),_=i.aabb.distanceY(l),b=Math.max(Math.abs(d),Math.abs(_)),w=p+(1<<y-i.zoom)-2;if(i.zoom===y||b>w&&i.zoom>=f){const t=y-i.zoom,r=c[0]-.5-(a<<t),n=c[1]-.5-(o<<t);g.push({tileID:new e.S(i.zoom===y?x:i.zoom,i.wrap,i.zoom,a,o),distanceSq:v([u[0]-.5-a,u[1]-.5-o]),tileDistanceToCamera:Math.sqrt(r*r+n*n)})}else for(let l=0;l<4;l++){const c=(a<<1)+l%2,u=(o<<1)+(l>>1),h=i.zoom+1;let f=i.aabb.quadrant(l);if(t.terrain){const a=new e.S(h,i.wrap,h,c,u),o=t.terrain.getMinMaxElevation(a),s=null!==(r=o.minElevation)&&void 0!==r?r:this.elevation,l=null!==(n=o.maxElevation)&&void 0!==n?n:this.elevation;f=new An([f.min[0],f.min[1],s],[f.max[0],f.max[1],l])}m.push({aabb:f,zoom:h,x:c,y:u,wrap:i.wrap,fullyVisible:s})}}return g.sort(((t,e)=>t.distanceSq-e.distanceSq)).map((t=>t.tileID))}resize(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()}get unmodified(){return this._unmodified}zoomScale(t){return Math.pow(2,t)}scaleZoom(t){return Math.log(t)/Math.LN2}project(t){const r=e.ad(t.lat,-85.051129,Sn);return new e.P(e.O(t.lng)*this.worldSize,e.Q(r)*this.worldSize)}unproject(t){return new e.Z(t.x/this.worldSize,t.y/this.worldSize).toLngLat()}get point(){return this.project(this.center)}getCameraPosition(){return{lngLat:this.pointLocation(this.getCameraPoint()),altitude:Math.cos(this._pitch)*this.cameraToCenterDistance/this._pixelPerMeter+this.elevation}}recalculateZoom(t){const r=this.elevation,n=Math.cos(this._pitch)*this.cameraToCenterDistance/this._pixelPerMeter,i=this.pointLocation(this.centerPoint,t),a=t.getElevationForLngLatZoom(i,this.tileZoom);if(!(this.elevation-a))return;const o=n+r-a,s=Math.cos(this._pitch)*this.cameraToCenterDistance/o/e.b5(1,i.lat)/this.tileSize,l=this.scaleZoom(s);this._elevation=a,this._center=i,this.zoom=l}setLocationAtPoint(t,r){const n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(t),o=new e.Z(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())}locationPoint(t,e){return e?this.coordinatePoint(this.locationCoordinate(t),e.getElevationForLngLatZoom(t,this.tileZoom),this.pixelMatrix3D):this.coordinatePoint(this.locationCoordinate(t))}pointLocation(t,e){return this.coordinateLocation(this.pointCoordinate(t,e))}locationCoordinate(t){return e.Z.fromLngLat(t)}coordinateLocation(t){return t&&t.toLngLat()}pointCoordinate(t,r){if(r){const e=r.pointCoordinate(t);if(null!=e)return e}const n=[t.x,t.y,0,1],i=[t.x,t.y,1,1];e.ag(n,n,this.pixelMatrixInverse),e.ag(i,i,this.pixelMatrixInverse);const a=n[3],o=i[3],s=n[0]/a,l=i[0]/o,c=n[1]/a,u=i[1]/o,h=n[2]/a,f=i[2]/o,p=h===f?0:(0-h)/(f-h);return new e.Z(e.z.number(s,l,p)/this.worldSize,e.z.number(c,u,p)/this.worldSize)}coordinatePoint(t,r=0,n=this.pixelMatrix){const i=[t.x*this.worldSize,t.y*this.worldSize,r,1];return e.ag(i,i,n),new e.P(i[0]/i[3],i[1]/i[3])}getBounds(){const t=Math.max(0,this.height/2-this.getHorizon());return(new X).extend(this.pointLocation(new e.P(0,t))).extend(this.pointLocation(new e.P(this.width,t))).extend(this.pointLocation(new e.P(this.width,this.height))).extend(this.pointLocation(new e.P(0,this.height)))}getMaxBounds(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new X([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null}getHorizon(){return Math.tan(Math.PI/2-this._pitch)*this.cameraToCenterDistance*.85}setMaxBounds(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-85.051129,Sn])}calculateTileMatrix(t){const r=t.canonical,n=this.worldSize/this.zoomScale(r.z),i=r.x+Math.pow(2,r.z)*t.wrap,a=e.ao(new Float64Array(16));return e.J(a,a,[i*n,r.y*n,0]),e.K(a,a,[n/e.X,n/e.X,1]),a}calculatePosMatrix(t,r=!1){const n=t.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];const a=this.calculateTileMatrix(t);return e.L(a,r?this.alignedModelViewProjectionMatrix:this.modelViewProjectionMatrix,a),i[n]=new Float32Array(a),i[n]}calculateFogMatrix(t){const r=t.key,n=this._fogMatrixCache;if(n[r])return n[r];const i=this.calculateTileMatrix(t);return e.L(i,this.fogMatrix,i),n[r]=new Float32Array(i),n[r]}customLayerMatrix(){return this.mercatorMatrix.slice()}getConstrained(t,r){r=e.ad(+r,this.minZoom,this.maxZoom);const n={center:new e.N(t.lng,t.lat),zoom:r};let i=this.lngRange;if(!this._renderWorldCopies&&null===i){const t=180-1e-10;i=[-t,t]}const a=this.tileSize*this.zoomScale(n.zoom);let o=0,s=a,l=0,c=a,u=0,h=0;const{x:f,y:p}=this.size;if(this.latRange){const t=this.latRange;o=e.Q(t[1])*a,s=e.Q(t[0])*a,s-o<p&&(u=p/(s-o))}i&&(l=e.b3(e.O(i[0])*a,0,a),c=e.b3(e.O(i[1])*a,0,a),c<l&&(c+=a),c-l<f&&(h=f/(c-l)));const{x:d,y:m}=this.project.call({worldSize:a},t);let g,y;const v=Math.max(h||0,u||0);if(v){const t=new e.P(h?(c+l)/2:d,u?(s+o)/2:m);return n.center=this.unproject.call({worldSize:a},t).wrap(),n.zoom+=this.scaleZoom(v),n}if(this.latRange){const t=p/2;m-t<o&&(y=o+t),m+t>s&&(y=s-t)}if(i){const t=(l+c)/2;let r=d;this._renderWorldCopies&&(r=e.b3(d,t-a/2,t+a/2));const n=f/2;r-n<l&&(g=l+n),r+n>c&&(g=c-n)}if(void 0!==g||void 0!==y){const t=new e.P(null!=g?g:d,null!=y?y:m);n.center=this.unproject.call({worldSize:a},t).wrap()}return n}_constrain(){if(!this.center||!this.width||!this.height||this._constraining)return;this._constraining=!0;const t=this._unmodified,{center:e,zoom:r}=this.getConstrained(this.center,this.zoom);this.center=e,this.zoom=r,this._unmodified=t,this._constraining=!1}_calcMatrices(){if(!this.height)return;const t=this._fov/2,r=this.centerOffset,n=this.point.x,i=this.point.y;this.cameraToCenterDistance=.5/Math.tan(t)*this.height,this._pixelPerMeter=e.b5(1,this.center.lat)*this.worldSize;let a=e.ao(new Float64Array(16));e.K(a,a,[this.width/2,-this.height/2,1]),e.J(a,a,[1,-1,0]),this.labelPlaneMatrix=a,a=e.ao(new Float64Array(16)),e.K(a,a,[1,-1,1]),e.J(a,a,[-1,-1,0]),e.K(a,a,[2/this.width,2/this.height,1]),this.glCoordMatrix=a;const o=this.cameraToCenterDistance+this._elevation*this._pixelPerMeter/Math.cos(this._pitch),s=Math.min(this.elevation,this.minElevationForCurrentTile),l=o-s*this._pixelPerMeter/Math.cos(this._pitch),c=s<0?l:o,u=Math.PI/2+this._pitch,h=this._fov*(.5+r.y/this.height),f=Math.sin(h)*c/Math.sin(e.ad(Math.PI-u-h,.01,Math.PI-.01)),p=this.getHorizon(),d=2*Math.atan(p/this.cameraToCenterDistance)*(.5+r.y/(2*p)),m=Math.sin(d)*c/Math.sin(e.ad(Math.PI-u-d,.01,Math.PI-.01)),g=Math.min(f,m);this.farZ=1.01*(Math.cos(Math.PI/2-this._pitch)*g+c),this.nearZ=this.height/50,a=new Float64Array(16),e.b6(a,this._fov,this.width/this.height,this.nearZ,this.farZ),a[8]=2*-r.x/this.width,a[9]=2*r.y/this.height,this.projectionMatrix=e.af(a),e.K(a,a,[1,-1,1]),e.J(a,a,[0,0,-this.cameraToCenterDistance]),e.b7(a,a,this._pitch),e.ae(a,a,this.angle),e.J(a,a,[-n,-i,0]),this.mercatorMatrix=e.K([],a,[this.worldSize,this.worldSize,this.worldSize]),e.K(a,a,[1,1,this._pixelPerMeter]),this.pixelMatrix=e.L(new Float64Array(16),this.labelPlaneMatrix,a),e.J(a,a,[0,0,-this.elevation]),this.modelViewProjectionMatrix=a,this.invModelViewProjectionMatrix=e.at([],a),this.fogMatrix=new Float64Array(16),e.b6(this.fogMatrix,this._fov,this.width/this.height,o,this.farZ),this.fogMatrix[8]=2*-r.x/this.width,this.fogMatrix[9]=2*r.y/this.height,e.K(this.fogMatrix,this.fogMatrix,[1,-1,1]),e.J(this.fogMatrix,this.fogMatrix,[0,0,-this.cameraToCenterDistance]),e.b7(this.fogMatrix,this.fogMatrix,this._pitch),e.ae(this.fogMatrix,this.fogMatrix,this.angle),e.J(this.fogMatrix,this.fogMatrix,[-n,-i,0]),e.K(this.fogMatrix,this.fogMatrix,[1,1,this._pixelPerMeter]),e.J(this.fogMatrix,this.fogMatrix,[0,0,-this.elevation]),this.pixelMatrix3D=e.L(new Float64Array(16),this.labelPlaneMatrix,a);const y=this.width%2/2,v=this.height%2/2,x=Math.cos(this.angle),_=Math.sin(this.angle),b=n-Math.round(n)+x*y+_*v,w=i-Math.round(i)+x*v+_*y,T=new Float64Array(a);if(e.J(T,T,[b>.5?b-1:b,w>.5?w-1:w,0]),this.alignedModelViewProjectionMatrix=T,a=e.at(new Float64Array(16),this.pixelMatrix),!a)throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=a,this._posMatrixCache={},this._alignedPosMatrixCache={},this._fogMatrixCache={}}maxPitchScaleFactor(){if(!this.pixelMatrixInverse)return 1;const t=this.pointCoordinate(new e.P(0,0)),r=[t.x*this.worldSize,t.y*this.worldSize,0,1];return e.ag(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance}getCameraPoint(){const t=this._pitch,r=Math.tan(t)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new e.P(0,r))}getCameraQueryGeometry(t){const r=this.getCameraPoint();if(1===t.length)return[t[0],r];{let n=r.x,i=r.y,a=r.x,o=r.y;for(const e of t)n=Math.min(n,e.x),i=Math.min(i,e.y),a=Math.max(a,e.x),o=Math.max(o,e.y);return[new e.P(n,i),new e.P(a,i),new e.P(a,o),new e.P(n,o),new e.P(n,i)]}}lngLatToCameraDepth(t,r){const n=this.locationCoordinate(t),i=[n.x*this.worldSize,n.y*this.worldSize,r,1];return e.ag(i,i,this.modelViewProjectionMatrix),i[2]/i[3]}}function Cn(t,e){let r,n=!1,i=null,a=null;const o=()=>{i=null,n&&(t.apply(a,r),i=setTimeout(o,e),n=!1)};return(...t)=>(n=!0,a=this,r=t,i||o(),i)}class Ln{constructor(t){this._getCurrentHash=()=>{const t=window.location.hash.replace(\"#\",\"\");if(this._hashName){let e;return t.split(\"&\").map((t=>t.split(\"=\"))).forEach((t=>{t[0]===this._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")}return t.split(\"/\")},this._onHashChange=()=>{const t=this._getCurrentHash();if(t.length>=3&&!t.some((t=>isNaN(t)))){const 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},this._updateHashUnthrottled=()=>{const t=window.location.href.replace(/(#.+)?$/,this.getHashString());window.history.replaceState(window.history.state,null,t)},this._removeHash=()=>{const t=this._getCurrentHash();if(0===t.length)return;const e=t.join(\"/\");let r=e;r.split(\"&\").length>0&&(r=r.split(\"&\")[0]),this._hashName&&(r=`${this._hashName}=${e}`);let n=window.location.hash.replace(r,\"\");n.startsWith(\"#&\")?n=n.slice(0,1)+n.slice(2):\"#\"===n&&(n=\"\");let i=window.location.href.replace(/(#.+)?$/,n);i=i.replace(\"&&\",\"&\"),window.history.replaceState(window.history.state,null,i)},this._updateHash=Cn(this._updateHashUnthrottled,300),this._hashName=t&&encodeURIComponent(t)}addTo(t){return this._map=t,addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this}remove(){return removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),this._removeHash(),delete this._map,this}getHashString(t){const e=this._map.getCenter(),r=Math.round(100*this._map.getZoom())/100,n=Math.ceil((r*Math.LN2+Math.log(512/360/.5))/Math.LN10),i=Math.pow(10,n),a=Math.round(e.lng*i)/i,o=Math.round(e.lat*i)/i,s=this._map.getBearing(),l=this._map.getPitch();let c=\"\";if(c+=t?`/${a}/${o}/${r}`:`${r}/${o}/${a}`,(s||l)&&(c+=\"/\"+Math.round(10*s)/10),l&&(c+=`/${Math.round(l)}`),this._hashName){const t=this._hashName;let e=!1;const r=window.location.hash.slice(1).split(\"&\").map((r=>{const n=r.split(\"=\")[0];return n===t?(e=!0,`${n}=${c}`):r})).filter((t=>t));return e||r.push(`${t}=${c}`),`#${r.join(\"&\")}`}return`#${c}`}}const In={linearity:.3,easing:e.b8(0,0,.3,1)},Pn=e.e({deceleration:2500,maxSpeed:1400},In),zn=e.e({deceleration:20,maxSpeed:1400},In),On=e.e({deceleration:1e3,maxSpeed:360},In),Dn=e.e({deceleration:1e3,maxSpeed:90},In);class Rn{constructor(t){this._map=t,this.clear()}clear(){this._inertiaBuffer=[]}record(t){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:a.now(),settings:t})}_drainInertiaBuffer(){const t=this._inertiaBuffer,e=a.now();for(;t.length>0&&e-t[0].time>160;)t.shift()}_onMoveEnd(t){if(this._drainInertiaBuffer(),this._inertiaBuffer.length<2)return;const r={zoom:0,bearing:0,pitch:0,pan:new e.P(0,0),pinchAround:void 0,around:void 0};for(const{settings:t}of this._inertiaBuffer)r.zoom+=t.zoomDelta||0,r.bearing+=t.bearingDelta||0,r.pitch+=t.pitchDelta||0,t.panDelta&&r.pan._add(t.panDelta),t.around&&(r.around=t.around),t.pinchAround&&(r.pinchAround=t.pinchAround);const n=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,i={};if(r.pan.mag()){const a=Bn(r.pan.mag(),n,e.e({},Pn,t||{}));i.offset=r.pan.mult(a.amount/r.pan.mag()),i.center=this._map.transform.center,Fn(i,a)}if(r.zoom){const t=Bn(r.zoom,n,zn);i.zoom=this._map.transform.zoom+t.amount,Fn(i,t)}if(r.bearing){const t=Bn(r.bearing,n,On);i.bearing=this._map.transform.bearing+e.ad(t.amount,-179,179),Fn(i,t)}if(r.pitch){const t=Bn(r.pitch,n,Dn);i.pitch=this._map.transform.pitch+t.amount,Fn(i,t)}if(i.zoom||i.bearing){const t=void 0===r.pinchAround?r.around:r.pinchAround;i.around=t?this._map.unproject(t):this._map.getCenter()}return this.clear(),e.e(i,{noMoveStart:!0})}}function Fn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Bn(t,r,n){const{maxSpeed:i,linearity:a,deceleration:o}=n,s=e.ad(t*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}class Nn extends e.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(t,r,n,i={}){const a=o.mousePos(r.getCanvas(),n),s=r.unproject(a);super(t,e.e({point:a,lngLat:s,originalEvent:n},i)),this._defaultPrevented=!1,this.target=r}}class jn extends e.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(t,r,n){const i=\"touchend\"===t?n.changedTouches:n.touches,a=o.touchPos(r.getCanvasContainer(),i),s=a.map((t=>r.unproject(t))),l=a.reduce(((t,e,r,n)=>t.add(e.div(n.length))),new e.P(0,0));super(t,{points:a,point:l,lngLats:s,lngLat:r.unproject(l),originalEvent:n}),this._defaultPrevented=!1}}class Un extends e.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(t,e,r){super(t,{originalEvent:r}),this._defaultPrevented=!1}}class Vn{constructor(t,e){this._map=t,this._clickTolerance=e.clickTolerance}reset(){delete this._mousedownPos}wheel(t){return this._firePreventable(new Un(t.type,this._map,t))}mousedown(t,e){return this._mousedownPos=e,this._firePreventable(new Nn(t.type,this._map,t))}mouseup(t){this._map.fire(new Nn(t.type,this._map,t))}click(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Nn(t.type,this._map,t))}dblclick(t){return this._firePreventable(new Nn(t.type,this._map,t))}mouseover(t){this._map.fire(new Nn(t.type,this._map,t))}mouseout(t){this._map.fire(new Nn(t.type,this._map,t))}touchstart(t){return this._firePreventable(new jn(t.type,this._map,t))}touchmove(t){this._map.fire(new jn(t.type,this._map,t))}touchend(t){this._map.fire(new jn(t.type,this._map,t))}touchcancel(t){this._map.fire(new jn(t.type,this._map,t))}_firePreventable(t){if(this._map.fire(t),t.defaultPrevented)return{}}isEnabled(){return!0}isActive(){return!1}enable(){}disable(){}}class qn{constructor(t){this._map=t}reset(){this._delayContextMenu=!1,this._ignoreContextMenu=!0,delete this._contextMenuEvent}mousemove(t){this._map.fire(new Nn(t.type,this._map,t))}mousedown(){this._delayContextMenu=!0,this._ignoreContextMenu=!1}mouseup(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Nn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)}contextmenu(t){this._delayContextMenu?this._contextMenuEvent=t:this._ignoreContextMenu||this._map.fire(new Nn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()}isEnabled(){return!0}isActive(){return!1}enable(){}disable(){}}class Hn{constructor(t){this._map=t}get transform(){return this._map._requestedCameraState||this._map.transform}get center(){return{lng:this.transform.center.lng,lat:this.transform.center.lat}}get zoom(){return this.transform.zoom}get pitch(){return this.transform.pitch}get bearing(){return this.transform.bearing}unproject(t){return this.transform.pointLocation(e.P.convert(t),this._map.terrain)}}class Gn{constructor(t,e){this._map=t,this._tr=new Hn(t),this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1}isEnabled(){return!!this._enabled}isActive(){return!!this._active}enable(){this.isEnabled()||(this._enabled=!0)}disable(){this.isEnabled()&&(this._enabled=!1)}mousedown(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(o.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)}mousemoveWindow(t,e){if(!this._active)return;const r=e;if(this._lastPos.equals(r)||!this._box&&r.dist(this._startPos)<this._clickTolerance)return;const n=this._startPos;this._lastPos=r,this._box||(this._box=o.create(\"div\",\"maplibregl-boxzoom\",this._container),this._container.classList.add(\"maplibregl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));const i=Math.min(n.x,r.x),a=Math.max(n.x,r.x),s=Math.min(n.y,r.y),l=Math.max(n.y,r.y);o.setTransform(this._box,`translate(${i}px,${s}px)`),this._box.style.width=a-i+\"px\",this._box.style.height=l-s+\"px\"}mouseupWindow(t,r){if(!this._active)return;if(0!==t.button)return;const n=this._startPos,i=r;if(this.reset(),o.suppressClick(),n.x!==i.x||n.y!==i.y)return this._map.fire(new e.k(\"boxzoomend\",{originalEvent:t})),{cameraAnimation:t=>t.fitScreenCoordinates(n,i,this._tr.bearing,{linear:!0})};this._fireEvent(\"boxzoomcancel\",t)}keydown(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))}reset(){this._active=!1,this._container.classList.remove(\"maplibregl-crosshair\"),this._box&&(o.remove(this._box),this._box=null),o.enableDrag(),delete this._startPos,delete this._lastPos}_fireEvent(t,r){return this._map.fire(new e.k(t,{originalEvent:r}))}}function Zn(t,e){if(t.length!==e.length)throw new Error(`The number of touches and points are not equal - touches ${t.length}, points ${e.length}`);const r={};for(let n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}class Wn{constructor(t){this.reset(),this.numTouches=t.numTouches}reset(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1}touchstart(t,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=t.timeStamp),n.length===this.numTouches&&(this.centroid=function(t){const r=new e.P(0,0);for(const e of t)r._add(e);return r.div(t.length)}(r),this.touches=Zn(n,r)))}touchmove(t,e,r){if(this.aborted||!this.centroid)return;const n=Zn(r,e);for(const t in this.touches){const e=this.touches[t],r=n[t];(!r||r.dist(e)>30)&&(this.aborted=!0)}}touchend(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){const t=!this.aborted&&this.centroid;if(this.reset(),t)return t}}}class Yn{constructor(t){this.singleTap=new Wn(t),this.numTaps=t.numTaps,this.reset()}reset(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()}touchstart(t,e,r){this.singleTap.touchstart(t,e,r)}touchmove(t,e,r){this.singleTap.touchmove(t,e,r)}touchend(t,e,r){const n=this.singleTap.touchend(t,e,r);if(n){const e=t.timeStamp-this.lastTime<500,r=!this.lastTap||this.lastTap.dist(n)<30;if(e&&r||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}}}class Xn{constructor(t){this._tr=new Hn(t),this._zoomIn=new Yn({numTouches:1,numTaps:2}),this._zoomOut=new Yn({numTouches:2,numTaps:1}),this.reset()}reset(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()}touchstart(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)}touchmove(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)}touchend(t,e,r){const n=this._zoomIn.touchend(t,e,r),i=this._zoomOut.touchend(t,e,r),a=this._tr;return n?(this._active=!0,t.preventDefault(),setTimeout((()=>this.reset()),0),{cameraAnimation:e=>e.easeTo({duration:300,zoom:a.zoom+1,around:a.unproject(n)},{originalEvent:t})}):i?(this._active=!0,t.preventDefault(),setTimeout((()=>this.reset()),0),{cameraAnimation:e=>e.easeTo({duration:300,zoom:a.zoom-1,around:a.unproject(i)},{originalEvent:t})}):void 0}touchcancel(){this.reset()}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class $n{constructor(t){this._enabled=!!t.enable,this._moveStateManager=t.moveStateManager,this._clickTolerance=t.clickTolerance||1,this._moveFunction=t.move,this._activateOnStart=!!t.activateOnStart,t.assignEvents(this),this.reset()}reset(t){this._active=!1,this._moved=!1,delete this._lastPoint,this._moveStateManager.endMove(t)}_move(...t){const e=this._moveFunction(...t);if(e.bearingDelta||e.pitchDelta||e.around||e.panDelta)return this._active=!0,e}dragStart(t,e){this.isEnabled()&&!this._lastPoint&&this._moveStateManager.isValidStartEvent(t)&&(this._moveStateManager.startMove(t),this._lastPoint=e.length?e[0]:e,this._activateOnStart&&this._lastPoint&&(this._active=!0))}dragMove(t,e){if(!this.isEnabled())return;const r=this._lastPoint;if(!r)return;if(t.preventDefault(),!this._moveStateManager.isValidMoveEvent(t))return void this.reset(t);const n=e.length?e[0]:e;return!this._moved&&n.dist(r)<this._clickTolerance?void 0:(this._moved=!0,this._lastPoint=n,this._move(r,n))}dragEnd(t){this.isEnabled()&&this._lastPoint&&this._moveStateManager.isValidEndEvent(t)&&(this._moved&&o.suppressClick(),this.reset(t))}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}getClickTolerance(){return this._clickTolerance}}const Jn={0:1,2:2};class Kn{constructor(t){this._correctEvent=t.checkCorrectEvent}startMove(t){const e=o.mouseButton(t);this._eventButton=e}endMove(t){delete this._eventButton}isValidStartEvent(t){return this._correctEvent(t)}isValidMoveEvent(t){return!function(t,e){const r=Jn[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton)}isValidEndEvent(t){return o.mouseButton(t)===this._eventButton}}class Qn{constructor(){this._firstTouch=void 0}_isOneFingerTouch(t){return 1===t.targetTouches.length}_isSameTouchEvent(t){return t.targetTouches[0].identifier===this._firstTouch}startMove(t){const e=t.targetTouches[0].identifier;this._firstTouch=e}endMove(t){delete this._firstTouch}isValidStartEvent(t){return this._isOneFingerTouch(t)}isValidMoveEvent(t){return this._isOneFingerTouch(t)&&this._isSameTouchEvent(t)}isValidEndEvent(t){return this._isOneFingerTouch(t)&&this._isSameTouchEvent(t)}}const ti=t=>{t.mousedown=t.dragStart,t.mousemoveWindow=t.dragMove,t.mouseup=t.dragEnd,t.contextmenu=t=>{t.preventDefault()}},ei=({enable:t,clickTolerance:e,bearingDegreesPerPixelMoved:r=.8})=>{const n=new Kn({checkCorrectEvent:t=>0===o.mouseButton(t)&&t.ctrlKey||2===o.mouseButton(t)});return new $n({clickTolerance:e,move:(t,e)=>({bearingDelta:(e.x-t.x)*r}),moveStateManager:n,enable:t,assignEvents:ti})},ri=({enable:t,clickTolerance:e,pitchDegreesPerPixelMoved:r=-.5})=>{const n=new Kn({checkCorrectEvent:t=>0===o.mouseButton(t)&&t.ctrlKey||2===o.mouseButton(t)});return new $n({clickTolerance:e,move:(t,e)=>({pitchDelta:(e.y-t.y)*r}),moveStateManager:n,enable:t,assignEvents:ti})};class ni{constructor(t,e){this._clickTolerance=t.clickTolerance||1,this._map=e,this.reset()}reset(){this._active=!1,this._touches={},this._sum=new e.P(0,0)}_shouldBePrevented(t){return t<(this._map.cooperativeGestures.isEnabled()?2:1)}touchstart(t,e,r){return this._calculateTransform(t,e,r)}touchmove(t,e,r){if(this._active){if(!this._shouldBePrevented(r.length))return t.preventDefault(),this._calculateTransform(t,e,r);this._map.cooperativeGestures.notifyGestureBlocked(\"touch_pan\",t)}}touchend(t,e,r){this._calculateTransform(t,e,r),this._active&&this._shouldBePrevented(r.length)&&this.reset()}touchcancel(){this.reset()}_calculateTransform(t,r,n){n.length>0&&(this._active=!0);const i=Zn(n,r),a=new e.P(0,0),o=new e.P(0,0);let s=0;for(const t in i){const e=i[t],r=this._touches[t];r&&(a._add(e),o._add(e.sub(r)),s++,i[t]=e)}if(this._touches=i,this._shouldBePrevented(s)||!o.mag())return;const l=o.div(s);return this._sum._add(l),this._sum.mag()<this._clickTolerance?void 0:{around:a.div(s),panDelta:l}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class ii{constructor(){this.reset()}reset(){this._active=!1,delete this._firstTwoTouches}touchstart(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))}touchmove(t,e,r){if(!this._firstTwoTouches)return;t.preventDefault();const[n,i]=this._firstTwoTouches,a=ai(r,e,n),o=ai(r,e,i);if(!a||!o)return;const s=this._aroundCenter?null:a.add(o).div(2);return this._move([a,o],s,t)}touchend(t,e,r){if(!this._firstTwoTouches)return;const[n,i]=this._firstTwoTouches,a=ai(r,e,n),s=ai(r,e,i);a&&s||(this._active&&o.suppressClick(),this.reset())}touchcancel(){this.reset()}enable(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around}disable(){this._enabled=!1,this.reset()}isEnabled(){return!!this._enabled}isActive(){return!!this._active}}function ai(t,e,r){for(let n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}function oi(t,e){return Math.log(t/e)/Math.LN2}class si extends ii{reset(){super.reset(),delete this._distance,delete this._startDistance}_start(t){this._startDistance=this._distance=t[0].dist(t[1])}_move(t,e){const r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(oi(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:oi(this._distance,r),pinchAround:e}}}function li(t,e){return 180*t.angleWith(e)/Math.PI}class ci extends ii{reset(){super.reset(),delete this._minDiameter,delete this._startVector,delete this._vector}_start(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])}_move(t,e,r){const n=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:li(this._vector,n),pinchAround:e}}_isBelowThreshold(t){this._minDiameter=Math.min(this._minDiameter,t.mag());const e=25/(Math.PI*this._minDiameter)*360,r=li(t,this._startVector);return Math.abs(r)<e}}function ui(t){return Math.abs(t.y)>Math.abs(t.x)}class hi extends ii{constructor(t){super(),this._currentTouchCount=0,this._map=t}reset(){super.reset(),this._valid=void 0,delete this._firstMove,delete this._lastPoints}touchstart(t,e,r){super.touchstart(t,e,r),this._currentTouchCount=r.length}_start(t){this._lastPoints=t,ui(t[0].sub(t[1]))&&(this._valid=!1)}_move(t,e,r){if(this._map.cooperativeGestures.isEnabled()&&this._currentTouchCount<3)return;const n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);return this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid?(this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}):void 0}gestureBeginsVertically(t,e,r){if(void 0!==this._valid)return this._valid;const n=t.mag()>=2,i=e.mag()>=2;if(!n&&!i)return;if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;const a=t.y>0==e.y>0;return ui(t)&&ui(e)&&a}}const fi={panStep:100,bearingStep:15,pitchStep:10};class pi{constructor(t){this._tr=new Hn(t);const e=fi;this._panStep=e.panStep,this._bearingStep=e.bearingStep,this._pitchStep=e.pitchStep,this._rotationDisabled=!1}reset(){this._active=!1}keydown(t){if(t.altKey||t.ctrlKey||t.metaKey)return;let e=0,r=0,n=0,i=0,a=0;switch(t.keyCode){case 61:case 107:case 171:case 187:e=1;break;case 189:case 109:case 173:e=-1;break;case 37:t.shiftKey?r=-1:(t.preventDefault(),i=-1);break;case 39:t.shiftKey?r=1:(t.preventDefault(),i=1);break;case 38:t.shiftKey?n=1:(t.preventDefault(),a=-1);break;case 40:t.shiftKey?n=-1:(t.preventDefault(),a=1);break;default:return}return this._rotationDisabled&&(r=0,n=0),{cameraAnimation:o=>{const s=this._tr;o.easeTo({duration:300,easeId:\"keyboardHandler\",easing:di,zoom:e?Math.round(s.zoom)+e*(t.shiftKey?2:1):s.zoom,bearing:s.bearing+r*this._bearingStep,pitch:s.pitch+n*this._pitchStep,offset:[-i*this._panStep,-a*this._panStep],center:s.center},{originalEvent:t})}}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}disableRotation(){this._rotationDisabled=!0}enableRotation(){this._rotationDisabled=!1}}function di(t){return t*(2-t)}const mi=4.000244140625;class gi{constructor(t,e){this._onTimeout=t=>{this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},this._map=t,this._tr=new Hn(t),this._triggerRenderFrame=e,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222}setZoomRate(t){this._defaultZoomRate=t}setWheelZoomRate(t){this._wheelZoomRate=t}isEnabled(){return!!this._enabled}isActive(){return!!this._active||void 0!==this._finishTimeout}isZooming(){return!!this._zooming}enable(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around)}disable(){this.isEnabled()&&(this._enabled=!1)}_shouldBePrevented(t){return!!this._map.cooperativeGestures.isEnabled()&&!(t.ctrlKey||this._map.cooperativeGestures.isBypassed(t))}wheel(t){if(!this.isEnabled())return;if(this._shouldBePrevented(t))return void this._map.cooperativeGestures.notifyGestureBlocked(\"wheel_zoom\",t);let e=t.deltaMode===WheelEvent.DOM_DELTA_LINE?40*t.deltaY:t.deltaY;const r=a.now(),n=r-(this._lastWheelEventTime||0);this._lastWheelEventTime=r,0!==e&&e%mi==0?this._type=\"wheel\":0!==e&&Math.abs(e)<4?this._type=\"trackpad\":n>400?(this._type=null,this._lastValue=e,this._timeout=setTimeout(this._onTimeout,40,t)):this._type||(this._type=Math.abs(n*e)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,e+=this._lastValue)),t.shiftKey&&e&&(e/=4),this._type&&(this._lastWheelEvent=t,this._delta-=e,this._active||this._start(t)),t.preventDefault()}_start(t){if(!this._delta)return;this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);const r=o.mousePos(this._map.getCanvas(),t),n=this._tr;r.y>n.transform.height/2-n.transform.getHorizon()?this._around=e.N.convert(this._aroundCenter?n.center:n.unproject(r)):this._around=e.N.convert(n.center),this._aroundPoint=n.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._triggerRenderFrame())}renderFrame(){if(!this._frameId)return;if(this._frameId=null,!this.isActive())return;const t=this._tr.transform;if(0!==this._delta){const e=\"wheel\"===this._type&&Math.abs(this._delta)>mi?this._wheelZoomRate:this._defaultZoomRate;let r=2/(1+Math.exp(-Math.abs(this._delta*e)));this._delta<0&&0!==r&&(r=1/r);const n=\"number\"==typeof this._targetZoom?t.zoomScale(this._targetZoom):t.scale;this._targetZoom=Math.min(t.maxZoom,Math.max(t.minZoom,t.scaleZoom(n*r))),\"wheel\"===this._type&&(this._startZoom=t.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}const r=\"number\"==typeof this._targetZoom?this._targetZoom:t.zoom,n=this._startZoom,i=this._easing;let o,s=!1;const l=a.now()-this._lastWheelEventTime;if(\"wheel\"===this._type&&n&&i&&l){const t=Math.min(l/200,1),a=i(t);o=e.z.number(n,r,a),t<1?this._frameId||(this._frameId=!0):s=!0}else o=r,s=!0;return this._active=!0,s&&(this._active=!1,this._finishTimeout=setTimeout((()=>{this._zooming=!1,this._triggerRenderFrame(),delete this._targetZoom,delete this._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!s,zoomDelta:o-t.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}_smoothOutEasing(t){let r=e.b9;if(this._prevEase){const t=this._prevEase,n=(a.now()-t.start)/t.duration,i=t.easing(n+.01)-t.easing(n),o=.27/Math.sqrt(i*i+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=e.b8(o,s,.25,1)}return this._prevEase={start:a.now(),duration:t,easing:r},r}reset(){this._active=!1,this._zooming=!1,delete this._targetZoom,this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout)}}class yi{constructor(t,e){this._clickZoom=t,this._tapZoom=e}enable(){this._clickZoom.enable(),this._tapZoom.enable()}disable(){this._clickZoom.disable(),this._tapZoom.disable()}isEnabled(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()}isActive(){return this._clickZoom.isActive()||this._tapZoom.isActive()}}class vi{constructor(t){this._tr=new Hn(t),this.reset()}reset(){this._active=!1}dblclick(t,e){return t.preventDefault(),{cameraAnimation:r=>{r.easeTo({duration:300,zoom:this._tr.zoom+(t.shiftKey?-1:1),around:this._tr.unproject(e)},{originalEvent:t})}}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class xi{constructor(){this._tap=new Yn({numTouches:1,numTaps:1}),this.reset()}reset(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,delete this._tapPoint,this._tap.reset()}touchstart(t,e,r){if(!this._swipePoint)if(this._tapTime){const n=e[0],i=t.timeStamp-this._tapTime<500,a=this._tapPoint.dist(n)<30;i&&a?r.length>0&&(this._swipePoint=n,this._swipeTouch=r[0].identifier):this.reset()}else this._tap.touchstart(t,e,r)}touchmove(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;const 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)}touchend(t,e,r){if(this._tapTime)this._swipePoint&&0===r.length&&this.reset();else{const n=this._tap.touchend(t,e,r);n&&(this._tapTime=t.timeStamp,this._tapPoint=n)}}touchcancel(){this.reset()}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class _i{constructor(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r}enable(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"maplibregl-touch-drag-pan\")}disable(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"maplibregl-touch-drag-pan\")}isEnabled(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()}isActive(){return this._mousePan.isActive()||this._touchPan.isActive()}}class bi{constructor(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r}enable(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()}disable(){this._mouseRotate.disable(),this._mousePitch.disable()}isEnabled(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())}isActive(){return this._mouseRotate.isActive()||this._mousePitch.isActive()}}class wi{constructor(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0}enable(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"maplibregl-touch-zoom-rotate\")}disable(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"maplibregl-touch-zoom-rotate\")}isEnabled(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()}isActive(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()}disableRotation(){this._rotationDisabled=!0,this._touchRotate.disable()}enableRotation(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()}}class Ti{constructor(t,e){this._bypassKey=-1!==navigator.userAgent.indexOf(\"Mac\")?\"metaKey\":\"ctrlKey\",this._map=t,this._options=e,this._enabled=!1}isActive(){return!1}reset(){}_setupUI(){if(this._container)return;const t=this._map.getCanvasContainer();t.classList.add(\"maplibregl-cooperative-gestures\"),this._container=o.create(\"div\",\"maplibregl-cooperative-gesture-screen\",t);let e=this._map._getUIString(\"CooperativeGesturesHandler.WindowsHelpText\");\"metaKey\"===this._bypassKey&&(e=this._map._getUIString(\"CooperativeGesturesHandler.MacHelpText\"));const r=this._map._getUIString(\"CooperativeGesturesHandler.MobileHelpText\"),n=document.createElement(\"div\");n.className=\"maplibregl-desktop-message\",n.textContent=e,this._container.appendChild(n);const i=document.createElement(\"div\");i.className=\"maplibregl-mobile-message\",i.textContent=r,this._container.appendChild(i),this._container.setAttribute(\"aria-hidden\",\"true\")}_destroyUI(){this._container&&(o.remove(this._container),this._map.getCanvasContainer().classList.remove(\"maplibregl-cooperative-gestures\")),delete this._container}enable(){this._setupUI(),this._enabled=!0}disable(){this._enabled=!1,this._destroyUI()}isEnabled(){return this._enabled}isBypassed(t){return t[this._bypassKey]}notifyGestureBlocked(t,r){this._enabled&&(this._map.fire(new e.k(\"cooperativegestureprevented\",{gestureType:t,originalEvent:r})),this._container.classList.add(\"maplibregl-show\"),setTimeout((()=>{this._container.classList.remove(\"maplibregl-show\")}),100))}}const ki=t=>t.zoom||t.drag||t.pitch||t.rotate;class Ai extends e.k{}function Mi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}class Si{constructor(t,e){this.handleWindowEvent=t=>{this.handleEvent(t,`${t.type}Window`)},this.handleEvent=(t,e)=>{if(\"blur\"===t.type)return void this.stop(!0);this._updatingCamera=!0;const r=\"renderFrame\"===t.type?void 0:t,n={needsRenderFrame:!1},i={},a={},s=t.touches,l=s?this._getMapTouches(s):void 0,c=l?o.touchPos(this._map.getCanvas(),l):o.mousePos(this._map.getCanvas(),t);for(const{handlerName:o,handler:s,allowed:u}of this._handlers){if(!s.isEnabled())continue;let h;this._blockedByActive(a,u,o)?s.reset():s[e||t.type]&&(h=s[e||t.type](t,c,l),this.mergeHandlerResult(n,i,h,o,r),h&&h.needsRenderFrame&&this._triggerRenderFrame()),(h||s.isActive())&&(a[o]=s)}const u={};for(const t in this._previousActiveHandlers)a[t]||(u[t]=r);this._previousActiveHandlers=a,(Object.keys(u).length||Mi(n))&&(this._changes.push([n,i,u]),this._triggerRenderFrame()),(Object.keys(a).length||Mi(n))&&this._map._stop(!0),this._updatingCamera=!1;const{cameraAnimation:h}=n;h&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],h(this._map))},this._map=t,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Rn(t),this._bearingSnap=e.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(e);const r=this._el;this._listeners=[[r,\"touchstart\",{passive:!0}],[r,\"touchmove\",{passive:!1}],[r,\"touchend\",void 0],[r,\"touchcancel\",void 0],[r,\"mousedown\",void 0],[r,\"mousemove\",void 0],[r,\"mouseup\",void 0],[document,\"mousemove\",{capture:!0}],[document,\"mouseup\",void 0],[r,\"mouseover\",void 0],[r,\"mouseout\",void 0],[r,\"dblclick\",void 0],[r,\"click\",void 0],[r,\"keydown\",{capture:!1}],[r,\"keyup\",void 0],[r,\"wheel\",{passive:!1}],[r,\"contextmenu\",void 0],[window,\"blur\",void 0]];for(const[t,e,r]of this._listeners)o.addEventListener(t,e,t===document?this.handleWindowEvent:this.handleEvent,r)}destroy(){for(const[t,e,r]of this._listeners)o.removeEventListener(t,e,t===document?this.handleWindowEvent:this.handleEvent,r)}_addDefaultHandlers(t){const e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Vn(e,t));const n=e.boxZoom=new Gn(e,t);this._add(\"boxZoom\",n),t.interactive&&t.boxZoom&&n.enable();const i=e.cooperativeGestures=new Ti(e,t.cooperativeGestures);this._add(\"cooperativeGestures\",i),t.cooperativeGestures&&i.enable();const a=new Xn(e),s=new vi(e);e.doubleClickZoom=new yi(s,a),this._add(\"tapZoom\",a),this._add(\"clickZoom\",s),t.interactive&&t.doubleClickZoom&&e.doubleClickZoom.enable();const l=new xi;this._add(\"tapDragZoom\",l);const c=e.touchPitch=new hi(e);this._add(\"touchPitch\",c),t.interactive&&t.touchPitch&&e.touchPitch.enable(t.touchPitch);const u=ei(t),h=ri(t);e.dragRotate=new bi(t,u,h),this._add(\"mouseRotate\",u,[\"mousePitch\"]),this._add(\"mousePitch\",h,[\"mouseRotate\"]),t.interactive&&t.dragRotate&&e.dragRotate.enable();const f=(({enable:t,clickTolerance:e})=>{const r=new Kn({checkCorrectEvent:t=>0===o.mouseButton(t)&&!t.ctrlKey});return new $n({clickTolerance:e,move:(t,e)=>({around:e,panDelta:e.sub(t)}),activateOnStart:!0,moveStateManager:r,enable:t,assignEvents:ti})})(t),p=new ni(t,e);e.dragPan=new _i(r,f,p),this._add(\"mousePan\",f),this._add(\"touchPan\",p,[\"touchZoom\",\"touchRotate\"]),t.interactive&&t.dragPan&&e.dragPan.enable(t.dragPan);const d=new ci,m=new si;e.touchZoomRotate=new wi(r,m,d,l),this._add(\"touchRotate\",d,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",m,[\"touchPan\",\"touchRotate\"]),t.interactive&&t.touchZoomRotate&&e.touchZoomRotate.enable(t.touchZoomRotate);const g=e.scrollZoom=new gi(e,(()=>this._triggerRenderFrame()));this._add(\"scrollZoom\",g,[\"mousePan\"]),t.interactive&&t.scrollZoom&&e.scrollZoom.enable(t.scrollZoom);const y=e.keyboard=new pi(e);this._add(\"keyboard\",y),t.interactive&&t.keyboard&&e.keyboard.enable(),this._add(\"blockableMapEvent\",new qn(e))}_add(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e}stop(t){if(!this._updatingCamera){for(const{handler:t}of this._handlers)t.reset();this._inertia.clear(),this._fireEvents({},{},t),this._changes=[]}}isActive(){for(const{handler:t}of this._handlers)if(t.isActive())return!0;return!1}isZooming(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()}isRotating(){return!!this._eventsInProgress.rotate}isMoving(){return Boolean(ki(this._eventsInProgress))||this.isZooming()}_blockedByActive(t,e,r){for(const n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1}_getMapTouches(t){const e=[];for(const r of t){const t=r.target;this._el.contains(t)&&e.push(r)}return e}mergeHandlerResult(t,r,n,i,a){if(!n)return;e.e(t,n);const o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}_applyChanges(){const t={},r={},n={};for(const[i,a,o]of this._changes)i.panDelta&&(t.panDelta=(t.panDelta||new e.P(0,0))._add(i.panDelta)),i.zoomDelta&&(t.zoomDelta=(t.zoomDelta||0)+i.zoomDelta),i.bearingDelta&&(t.bearingDelta=(t.bearingDelta||0)+i.bearingDelta),i.pitchDelta&&(t.pitchDelta=(t.pitchDelta||0)+i.pitchDelta),void 0!==i.around&&(t.around=i.around),void 0!==i.pinchAround&&(t.pinchAround=i.pinchAround),i.noInertia&&(t.noInertia=i.noInertia),e.e(r,a),e.e(n,o);this._updateMapTransform(t,r,n),this._changes=[]}_updateMapTransform(t,e,r){const n=this._map,i=n._getTransformForUpdate(),a=n.terrain;if(!(Mi(t)||a&&this._terrainMovement))return this._fireEvents(e,r,!0);let{panDelta:o,zoomDelta:s,bearingDelta:l,pitchDelta:c,around:u,pinchAround:h}=t;void 0!==h&&(u=h),n._stop(!0),u=u||n.transform.centerPoint;const f=i.pointLocation(o?u.sub(o):u);l&&(i.bearing+=l),c&&(i.pitch+=c),s&&(i.zoom+=s),a?this._terrainMovement||!e.drag&&!e.zoom?e.drag&&this._terrainMovement?i.center=i.pointLocation(i.centerPoint.sub(o)):i.setLocationAtPoint(f,u):(this._terrainMovement=!0,this._map._elevationFreeze=!0,i.setLocationAtPoint(f,u)):i.setLocationAtPoint(f,u),n._applyUpdatedTransform(i),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r,!0)}_fireEvents(t,r,n){const i=ki(this._eventsInProgress),o=ki(t),s={};for(const e in t){const{originalEvent:r}=t[e];this._eventsInProgress[e]||(s[`${e}start`]=r),this._eventsInProgress[e]=t[e]}!i&&o&&this._fireEvent(\"movestart\",o.originalEvent);for(const t in s)this._fireEvent(t,s[t]);o&&this._fireEvent(\"move\",o.originalEvent);for(const e in t){const{originalEvent:r}=t[e];this._fireEvent(e,r)}const l={};let c;for(const t in this._eventsInProgress){const{handlerName:e,originalEvent:n}=this._eventsInProgress[t];this._handlersById[e].isActive()||(delete this._eventsInProgress[t],c=r[e]||n,l[`${t}end`]=c)}for(const t in l)this._fireEvent(t,l[t]);const u=ki(this._eventsInProgress),h=(i||o)&&!u;if(h&&this._terrainMovement){this._map._elevationFreeze=!1,this._terrainMovement=!1;const t=this._map._getTransformForUpdate();t.recalculateZoom(this._map.terrain),this._map._applyUpdatedTransform(t)}if(n&&h){this._updatingCamera=!0;const t=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),r=t=>0!==t&&-this._bearingSnap<t&&t<this._bearingSnap;!t||!t.essential&&a.prefersReducedMotion?(this._map.fire(new e.k(\"moveend\",{originalEvent:c})),r(this._map.getBearing())&&this._map.resetNorth()):(r(t.bearing||this._map.getBearing())&&(t.bearing=0),t.freezeElevation=!0,this._map.easeTo(t,{originalEvent:c})),this._updatingCamera=!1}}_fireEvent(t,r){this._map.fire(new e.k(t,r?{originalEvent:r}:{}))}_requestFrame(){return this._map.triggerRepaint(),this._map._renderTaskQueue.add((t=>{delete this._frameId,this.handleEvent(new Ai(\"renderFrame\",{timeStamp:t})),this._applyChanges()}))}_triggerRenderFrame(){void 0===this._frameId&&(this._frameId=this._requestFrame())}}class Ei extends e.E{constructor(t,e){super(),this._renderFrameCallback=()=>{const t=Math.min((a.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(t)),t<1&&this._easeFrameId?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},this._moving=!1,this._zooming=!1,this.transform=t,this._bearingSnap=e.bearingSnap,this.on(\"moveend\",(()=>{delete this._requestedCameraState}))}getCenter(){return new e.N(this.transform.center.lng,this.transform.center.lat)}setCenter(t,e){return this.jumpTo({center:t},e)}panBy(t,r,n){return t=e.P.convert(t).mult(-1),this.panTo(this.transform.center,e.e({offset:t},r),n)}panTo(t,r,n){return this.easeTo(e.e({center:t},r),n)}getZoom(){return this.transform.zoom}setZoom(t,e){return this.jumpTo({zoom:t},e),this}zoomTo(t,r,n){return this.easeTo(e.e({zoom:t},r),n)}zoomIn(t,e){return this.zoomTo(this.getZoom()+1,t,e),this}zoomOut(t,e){return this.zoomTo(this.getZoom()-1,t,e),this}getBearing(){return this.transform.bearing}setBearing(t,e){return this.jumpTo({bearing:t},e),this}getPadding(){return this.transform.padding}setPadding(t,e){return this.jumpTo({padding:t},e),this}rotateTo(t,r,n){return this.easeTo(e.e({bearing:t},r),n)}resetNorth(t,r){return this.rotateTo(0,e.e({duration:1e3},t),r),this}resetNorthPitch(t,r){return this.easeTo(e.e({bearing:0,pitch:0,duration:1e3},t),r),this}snapToNorth(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this}getPitch(){return this.transform.pitch}setPitch(t,e){return this.jumpTo({pitch:t},e),this}cameraForBounds(t,e){t=X.convert(t);const r=e&&e.bearing||0;return this._cameraForBoxAndBearing(t.getNorthWest(),t.getSouthEast(),r,e)}_cameraForBoxAndBearing(t,r,n,i){const a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=e.e({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){const t=i.padding;i.padding={top:t,bottom:t,right:t,left:t}}i.padding=e.e(a,i.padding);const o=this.transform,s=o.padding,l=new X(t,r),c=o.project(l.getNorthWest()),u=o.project(l.getNorthEast()),h=o.project(l.getSouthEast()),f=o.project(l.getSouthWest()),p=e.ba(-n),d=c.rotate(p),m=u.rotate(p),g=h.rotate(p),y=f.rotate(p),v=new e.P(Math.max(d.x,m.x,y.x,g.x),Math.max(d.y,m.y,y.y,g.y)),x=new e.P(Math.min(d.x,m.x,y.x,g.x),Math.min(d.y,m.y,y.y,g.y)),_=v.sub(x),b=(o.width-(s.left+s.right+i.padding.left+i.padding.right))/_.x,w=(o.height-(s.top+s.bottom+i.padding.top+i.padding.bottom))/_.y;if(w<0||b<0)return void e.w(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\");const T=Math.min(o.scaleZoom(o.scale*Math.min(b,w)),i.maxZoom),k=e.P.convert(i.offset),A=(i.padding.left-i.padding.right)/2,M=(i.padding.top-i.padding.bottom)/2,S=new e.P(A,M).rotate(e.ba(n)),E=k.add(S).mult(o.scale/o.zoomScale(T));return{center:o.unproject(c.add(h).div(2).sub(E)),zoom:T,bearing:n}}fitBounds(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)}fitScreenCoordinates(t,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(e.P.convert(t)),this.transform.pointLocation(e.P.convert(r)),n,i),i,a)}_fitInternal(t,r,n){return t?(delete(r=e.e(t,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this}jumpTo(t,r){this.stop();const n=this._getTransformForUpdate();let i=!1,a=!1,o=!1;return\"zoom\"in t&&n.zoom!==+t.zoom&&(i=!0,n.zoom=+t.zoom),void 0!==t.center&&(n.center=e.N.convert(t.center)),\"bearing\"in t&&n.bearing!==+t.bearing&&(a=!0,n.bearing=+t.bearing),\"pitch\"in t&&n.pitch!==+t.pitch&&(o=!0,n.pitch=+t.pitch),null==t.padding||n.isPaddingEqual(t.padding)||(n.padding=t.padding),this._applyUpdatedTransform(n),this.fire(new e.k(\"movestart\",r)).fire(new e.k(\"move\",r)),i&&this.fire(new e.k(\"zoomstart\",r)).fire(new e.k(\"zoom\",r)).fire(new e.k(\"zoomend\",r)),a&&this.fire(new e.k(\"rotatestart\",r)).fire(new e.k(\"rotate\",r)).fire(new e.k(\"rotateend\",r)),o&&this.fire(new e.k(\"pitchstart\",r)).fire(new e.k(\"pitch\",r)).fire(new e.k(\"pitchend\",r)),this.fire(new e.k(\"moveend\",r))}calculateCameraOptionsFromTo(t,r,n,i=0){const a=e.Z.fromLngLat(t,r),o=e.Z.fromLngLat(n,i),s=o.x-a.x,l=o.y-a.y,c=o.z-a.z,u=Math.hypot(s,l,c);if(0===u)throw new Error(\"Can't calculate camera options with same From and To\");const h=Math.hypot(s,l),f=this.transform.scaleZoom(this.transform.cameraToCenterDistance/u/this.transform.tileSize),p=180*Math.atan2(s,-l)/Math.PI;let d=180*Math.acos(h/u)/Math.PI;return d=c<0?90-d:90+d,{center:o.toLngLat(),zoom:f,pitch:d,bearing:p}}easeTo(t,r){var n;this._stop(!1,t.easeId),(!1===(t=e.e({offset:[0,0],duration:500,easing:e.b9},t)).animate||!t.essential&&a.prefersReducedMotion)&&(t.duration=0);const i=this._getTransformForUpdate(),o=i.zoom,s=i.bearing,l=i.pitch,c=i.padding,u=\"bearing\"in t?this._normalizeBearing(t.bearing,s):s,h=\"pitch\"in t?+t.pitch:l,f=\"padding\"in t?t.padding:i.padding,p=e.P.convert(t.offset);let d=i.centerPoint.add(p);const m=i.pointLocation(d),{center:g,zoom:y}=i.getConstrained(e.N.convert(t.center||m),null!==(n=t.zoom)&&void 0!==n?n:o);this._normalizeCenter(g,i);const v=i.project(m),x=i.project(g).sub(v),_=i.zoomScale(y-o);let b,w;t.around&&(b=e.N.convert(t.around),w=i.locationPoint(b));const T={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||y!==o,this._rotating=this._rotating||s!==u,this._pitching=this._pitching||h!==l,this._padding=!i.isPaddingEqual(f),this._easeId=t.easeId,this._prepareEase(r,t.noMoveStart,T),this.terrain&&this._prepareElevation(g),this._ease((n=>{if(this._zooming&&(i.zoom=e.z.number(o,y,n)),this._rotating&&(i.bearing=e.z.number(s,u,n)),this._pitching&&(i.pitch=e.z.number(l,h,n)),this._padding&&(i.interpolatePadding(c,f,n),d=i.centerPoint.add(p)),this.terrain&&!t.freezeElevation&&this._updateElevation(n),b)i.setLocationAtPoint(b,w);else{const t=i.zoomScale(i.zoom-o),e=y>o?Math.min(2,_):Math.max(.5,_),r=Math.pow(e,1-n),a=i.unproject(v.add(x.mult(n*r)).mult(t));i.setLocationAtPoint(i.renderWorldCopies?a.wrap():a,d)}this._applyUpdatedTransform(i),this._fireMoveEvents(r)}),(e=>{this.terrain&&t.freezeElevation&&this._finalizeElevation(),this._afterEase(r,e)}),t),this}_prepareEase(t,r,n={}){this._moving=!0,r||n.moving||this.fire(new e.k(\"movestart\",t)),this._zooming&&!n.zooming&&this.fire(new e.k(\"zoomstart\",t)),this._rotating&&!n.rotating&&this.fire(new e.k(\"rotatestart\",t)),this._pitching&&!n.pitching&&this.fire(new e.k(\"pitchstart\",t))}_prepareElevation(t){this._elevationCenter=t,this._elevationStart=this.transform.elevation,this._elevationTarget=this.terrain.getElevationForLngLatZoom(t,this.transform.tileZoom),this._elevationFreeze=!0}_updateElevation(t){this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this._elevationCenter,this.transform.tileZoom);const r=this.terrain.getElevationForLngLatZoom(this._elevationCenter,this.transform.tileZoom);if(t<1&&r!==this._elevationTarget){const e=this._elevationTarget-this._elevationStart,n=(r-(e*t+this._elevationStart))/(1-t);this._elevationStart+=t*(e-n),this._elevationTarget=r}this.transform.elevation=e.z.number(this._elevationStart,this._elevationTarget,t)}_finalizeElevation(){this._elevationFreeze=!1,this.transform.recalculateZoom(this.terrain)}_getTransformForUpdate(){return this.transformCameraUpdate||this.terrain?(this._requestedCameraState||(this._requestedCameraState=this.transform.clone()),this._requestedCameraState):this.transform}_elevateCameraIfInsideTerrain(t){const e=t.getCameraPosition(),r=this.terrain.getElevationForLngLatZoom(e.lngLat,t.zoom);if(e.altitude<r){const n=this.calculateCameraOptionsFromTo(e.lngLat,r,t.center,t.elevation);return{pitch:n.pitch,zoom:n.zoom}}return{}}_applyUpdatedTransform(t){const e=[];if(this.terrain&&e.push((t=>this._elevateCameraIfInsideTerrain(t))),this.transformCameraUpdate&&e.push((t=>this.transformCameraUpdate(t))),!e.length)return;const r=t.clone();for(const t of e){const e=r.clone(),{center:n,zoom:i,pitch:a,bearing:o,elevation:s}=t(e);n&&(e.center=n),void 0!==i&&(e.zoom=i),void 0!==a&&(e.pitch=a),void 0!==o&&(e.bearing=o),void 0!==s&&(e.elevation=s),r.apply(e)}this.transform.apply(r)}_fireMoveEvents(t){this.fire(new e.k(\"move\",t)),this._zooming&&this.fire(new e.k(\"zoom\",t)),this._rotating&&this.fire(new e.k(\"rotate\",t)),this._pitching&&this.fire(new e.k(\"pitch\",t))}_afterEase(t,r){if(this._easeId&&r&&this._easeId===r)return;delete this._easeId;const 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 e.k(\"zoomend\",t)),i&&this.fire(new e.k(\"rotateend\",t)),a&&this.fire(new e.k(\"pitchend\",t)),this.fire(new e.k(\"moveend\",t))}flyTo(t,r){var n;if(!t.essential&&a.prefersReducedMotion){const n=e.M(t,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(n,r)}this.stop(),t=e.e({offset:[0,0],speed:1.2,curve:1.42,easing:e.b9},t);const i=this._getTransformForUpdate(),o=i.zoom,s=i.bearing,l=i.pitch,c=i.padding,u=\"bearing\"in t?this._normalizeBearing(t.bearing,s):s,h=\"pitch\"in t?+t.pitch:l,f=\"padding\"in t?t.padding:i.padding,p=e.P.convert(t.offset);let d=i.centerPoint.add(p);const m=i.pointLocation(d),{center:g,zoom:y}=i.getConstrained(e.N.convert(t.center||m),null!==(n=t.zoom)&&void 0!==n?n:o);this._normalizeCenter(g,i);const v=i.zoomScale(y-o),x=i.project(m),_=i.project(g).sub(x);let b=t.curve;const w=Math.max(i.width,i.height),T=w/v,k=_.mag();if(\"minZoom\"in t){const r=e.ad(Math.min(t.minZoom,o,y),i.minZoom,i.maxZoom),n=w/i.zoomScale(r-o);b=Math.sqrt(n/k*2)}const A=b*b;function M(t){const e=(T*T-w*w+(t?-1:1)*A*A*k*k)/(2*(t?T:w)*A*k);return Math.log(Math.sqrt(e*e+1)-e)}function S(t){return(Math.exp(t)-Math.exp(-t))/2}function E(t){return(Math.exp(t)+Math.exp(-t))/2}const C=M(!1);let L=function(t){return E(C)/E(C+b*t)},I=function(t){return w*((E(C)*(S(e=C+b*t)/E(e))-S(C))/A)/k;var e},P=(M(!0)-C)/b;if(Math.abs(k)<1e-6||!isFinite(P)){if(Math.abs(w-T)<1e-6)return this.easeTo(t,r);const e=T<w?-1:1;P=Math.abs(Math.log(T/w))/b,I=()=>0,L=t=>Math.exp(e*b*t)}if(\"duration\"in t)t.duration=+t.duration;else{const e=\"screenSpeed\"in t?+t.screenSpeed/b:+t.speed;t.duration=1e3*P/e}return t.maxDuration&&t.duration>t.maxDuration&&(t.duration=0),this._zooming=!0,this._rotating=s!==u,this._pitching=h!==l,this._padding=!i.isPaddingEqual(f),this._prepareEase(r,!1),this.terrain&&this._prepareElevation(g),this._ease((n=>{const a=n*P,m=1/L(a);i.zoom=1===n?y:o+i.scaleZoom(m),this._rotating&&(i.bearing=e.z.number(s,u,n)),this._pitching&&(i.pitch=e.z.number(l,h,n)),this._padding&&(i.interpolatePadding(c,f,n),d=i.centerPoint.add(p)),this.terrain&&!t.freezeElevation&&this._updateElevation(n);const v=1===n?g:i.unproject(x.add(_.mult(I(a))).mult(m));i.setLocationAtPoint(i.renderWorldCopies?v.wrap():v,d),this._applyUpdatedTransform(i),this._fireMoveEvents(r)}),(()=>{this.terrain&&t.freezeElevation&&this._finalizeElevation(),this._afterEase(r)}),t),this}isEasing(){return!!this._easeFrameId}stop(){return this._stop()}_stop(t,e){var r;if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){const t=this._onEaseEnd;delete this._onEaseEnd,t.call(this,e)}return t||null===(r=this.handlers)||void 0===r||r.stop(!1),this}_ease(t,e,r){!1===r.animate||0===r.duration?(t(1),e()):(this._easeStart=a.now(),this._easeOptions=r,this._onEaseFrame=t,this._onEaseEnd=e,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))}_normalizeBearing(t,r){t=e.b3(t,-180,180);const n=Math.abs(t-r);return Math.abs(t-360-r)<n&&(t-=360),Math.abs(t+360-r)<n&&(t+=360),t}_normalizeCenter(t,e){if(!e.renderWorldCopies||e.lngRange)return;const r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}queryTerrainElevation(t){return this.terrain?this.terrain.getElevationForLngLatZoom(e.N.convert(t),this.transform.tileZoom)-this.transform.elevation:null}}const Ci={compact:!0,customAttribution:'<a href=\"https://maplibre.org/\" target=\"_blank\">MapLibre</a>'};class Li{constructor(t=Ci){this._toggleAttribution=()=>{this._container.classList.contains(\"maplibregl-compact\")&&(this._container.classList.contains(\"maplibregl-compact-show\")?(this._container.setAttribute(\"open\",\"\"),this._container.classList.remove(\"maplibregl-compact-show\")):(this._container.classList.add(\"maplibregl-compact-show\"),this._container.removeAttribute(\"open\")))},this._updateData=t=>{!t||\"metadata\"!==t.sourceDataType&&\"visibility\"!==t.sourceDataType&&\"style\"!==t.dataType&&\"terrain\"!==t.type||this._updateAttributions()},this._updateCompact=()=>{this._map.getCanvasContainer().offsetWidth<=640||this._compact?!1===this._compact?this._container.setAttribute(\"open\",\"\"):this._container.classList.contains(\"maplibregl-compact\")||this._container.classList.contains(\"maplibregl-attrib-empty\")||(this._container.setAttribute(\"open\",\"\"),this._container.classList.add(\"maplibregl-compact\",\"maplibregl-compact-show\")):(this._container.setAttribute(\"open\",\"\"),this._container.classList.contains(\"maplibregl-compact\")&&this._container.classList.remove(\"maplibregl-compact\",\"maplibregl-compact-show\"))},this._updateCompactMinimize=()=>{this._container.classList.contains(\"maplibregl-compact\")&&this._container.classList.contains(\"maplibregl-compact-show\")&&this._container.classList.remove(\"maplibregl-compact-show\")},this.options=t}getDefaultPosition(){return\"bottom-right\"}onAdd(t){return this._map=t,this._compact=this.options.compact,this._container=o.create(\"details\",\"maplibregl-ctrl maplibregl-ctrl-attrib\"),this._compactButton=o.create(\"summary\",\"maplibregl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=o.create(\"div\",\"maplibregl-ctrl-attrib-inner\",this._container),this._updateAttributions(),this._updateCompact(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"terrain\",this._updateData),this._map.on(\"resize\",this._updateCompact),this._map.on(\"drag\",this._updateCompactMinimize),this._container}onRemove(){o.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"terrain\",this._updateData),this._map.off(\"resize\",this._updateCompact),this._map.off(\"drag\",this._updateCompactMinimize),this._map=void 0,this._compact=void 0,this._attribHTML=void 0}_setElementTitle(t,e){const r=this._map._getUIString(`AttributionControl.${e}`);t.title=r,t.setAttribute(\"aria-label\",r)}_updateAttributions(){if(!this._map.style)return;let t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((t=>\"string\"!=typeof t?\"\":t))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){const t=this._map.style.stylesheet;this.styleOwner=t.owner,this.styleId=t.id}const e=this._map.style.sourceCaches;for(const r in e){const n=e[r];if(n.used||n.usedForTerrain){const e=n.getSource();e.attribution&&t.indexOf(e.attribution)<0&&t.push(e.attribution)}}t=t.filter((t=>String(t).trim())),t.sort(((t,e)=>t.length-e.length)),t=t.filter(((e,r)=>{for(let n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}));const r=t.join(\" | \");r!==this._attribHTML&&(this._attribHTML=r,t.length?(this._innerContainer.innerHTML=r,this._container.classList.remove(\"maplibregl-attrib-empty\")):this._container.classList.add(\"maplibregl-attrib-empty\"),this._updateCompact(),this._editLink=null)}}class Ii{constructor(t={}){this._updateCompact=()=>{const t=this._container.children;if(t.length){const e=t[0];this._map.getCanvasContainer().offsetWidth<=640||this._compact?!1!==this._compact&&e.classList.add(\"maplibregl-compact\"):e.classList.remove(\"maplibregl-compact\")}},this.options=t}getDefaultPosition(){return\"bottom-left\"}onAdd(t){this._map=t,this._compact=this.options&&this.options.compact,this._container=o.create(\"div\",\"maplibregl-ctrl\");const e=o.create(\"a\",\"maplibregl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://maplibre.org/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"block\",this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container}onRemove(){o.remove(this._container),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._compact=void 0}}class Pi{constructor(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1}add(t){const e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e}remove(t){const e=this._currentlyRunning,r=e?this._queue.concat(e):this._queue;for(const e of r)if(e.id===t)return void(e.cancelled=!0)}run(t=0){if(this._currentlyRunning)throw new Error(\"Attempting to run(), but is already running.\");const e=this._currentlyRunning=this._queue;this._queue=[];for(const r of e)if(!r.cancelled&&(r.callback(t),this._cleared))break;this._cleared=!1,this._currentlyRunning=!1}clear(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]}}var zi=e.Y([{name:\"a_pos3d\",type:\"Int16\",components:3}]);class Oi extends e.E{constructor(t){super(),this.sourceCache=t,this._tiles={},this._renderableTilesKeys=[],this._sourceTileCache={},this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.deltaZoom=1,t.usedForTerrain=!0,t.tileSize=this.tileSize*2**this.deltaZoom}destruct(){this.sourceCache.usedForTerrain=!1,this.sourceCache.tileSize=null}update(t,r){this.sourceCache.update(t,r),this._renderableTilesKeys=[];const n={};for(const i of t.coveringTiles({tileSize:this.tileSize,minzoom:this.minzoom,maxzoom:this.maxzoom,reparseOverscaled:!1,terrain:r}))n[i.key]=!0,this._renderableTilesKeys.push(i.key),this._tiles[i.key]||(i.posMatrix=new Float64Array(16),e.aQ(i.posMatrix,0,e.X,0,e.X,0,1),this._tiles[i.key]=new ht(i,this.tileSize));for(const t in this._tiles)n[t]||delete this._tiles[t]}freeRtt(t){for(const e in this._tiles){const r=this._tiles[e];(!t||r.tileID.equals(t)||r.tileID.isChildOf(t)||t.isChildOf(r.tileID))&&(r.rtt=[])}}getRenderableTiles(){return this._renderableTilesKeys.map((t=>this.getTileByID(t)))}getTileByID(t){return this._tiles[t]}getTerrainCoords(t){const r={};for(const n of this._renderableTilesKeys){const i=this._tiles[n].tileID;if(i.canonical.equals(t.canonical)){const i=t.clone();i.posMatrix=new Float64Array(16),e.aQ(i.posMatrix,0,e.X,0,e.X,0,1),r[n]=i}else if(i.canonical.isChildOf(t.canonical)){const a=t.clone();a.posMatrix=new Float64Array(16);const o=i.canonical.z-t.canonical.z,s=i.canonical.x-(i.canonical.x>>o<<o),l=i.canonical.y-(i.canonical.y>>o<<o),c=e.X>>o;e.aQ(a.posMatrix,0,c,0,c,0,1),e.J(a.posMatrix,a.posMatrix,[-s*c,-l*c,0]),r[n]=a}else if(t.canonical.isChildOf(i.canonical)){const a=t.clone();a.posMatrix=new Float64Array(16);const o=t.canonical.z-i.canonical.z,s=t.canonical.x-(t.canonical.x>>o<<o),l=t.canonical.y-(t.canonical.y>>o<<o),c=e.X>>o;e.aQ(a.posMatrix,0,e.X,0,e.X,0,1),e.J(a.posMatrix,a.posMatrix,[s*c,l*c,0]),e.K(a.posMatrix,a.posMatrix,[1/2**o,1/2**o,0]),r[n]=a}}return r}getSourceTile(t,e){const r=this.sourceCache._source;let n=t.overscaledZ-this.deltaZoom;if(n>r.maxzoom&&(n=r.maxzoom),n<r.minzoom)return null;this._sourceTileCache[t.key]||(this._sourceTileCache[t.key]=t.scaledTo(n).key);let i=this.sourceCache.getTileByID(this._sourceTileCache[t.key]);if((!i||!i.dem)&&e)for(;n>=r.minzoom&&(!i||!i.dem);)i=this.sourceCache.getTileByID(t.scaledTo(n--).key);return i}tilesAfterTime(t=Date.now()){return Object.values(this._tiles).filter((e=>e.timeAdded>=t))}}class Di{constructor(t,e,r){this.painter=t,this.sourceCache=new Oi(e),this.options=r,this.exaggeration=\"number\"==typeof r.exaggeration?r.exaggeration:1,this.qualityFactor=2,this.meshSize=128,this._demMatrixCache={},this.coordsIndex=[],this._coordsTextureSize=1024}getDEMElevation(t,r,n,i=e.X){var a;if(!(r>=0&&r<i&&n>=0&&n<i))return 0;const o=this.getTerrainData(t),s=null===(a=o.tile)||void 0===a?void 0:a.dem;if(!s)return 0;const l=function(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t}([],[r/i*e.X,n/i*e.X],o.u_terrain_matrix),c=[l[0]*s.dim,l[1]*s.dim],u=Math.floor(c[0]),h=Math.floor(c[1]),f=c[0]-u,p=c[1]-h;return s.get(u,h)*(1-f)*(1-p)+s.get(u+1,h)*f*(1-p)+s.get(u,h+1)*(1-f)*p+s.get(u+1,h+1)*f*p}getElevationForLngLatZoom(t,r){const{tileID:n,mercatorX:i,mercatorY:a}=this._getOverscaledTileIDFromLngLatZoom(t,r);return this.getElevation(n,i%e.X,a%e.X,e.X)}getElevation(t,r,n,i=e.X){return this.getDEMElevation(t,r,n,i)*this.exaggeration}getTerrainData(t){if(!this._emptyDemTexture){const t=this.painter.context,r=new e.R({width:1,height:1},new Uint8Array(4));this._emptyDepthTexture=new w(t,r,t.gl.RGBA,{premultiply:!1}),this._emptyDemUnpack=[0,0,0,0],this._emptyDemTexture=new w(t,new e.R({width:1,height:1}),t.gl.RGBA,{premultiply:!1}),this._emptyDemTexture.bind(t.gl.NEAREST,t.gl.CLAMP_TO_EDGE),this._emptyDemMatrix=e.ao([])}const r=this.sourceCache.getSourceTile(t,!0);if(r&&r.dem&&(!r.demTexture||r.needsTerrainPrepare)){const t=this.painter.context;r.demTexture=this.painter.getTileTexture(r.dem.stride),r.demTexture?r.demTexture.update(r.dem.getPixels(),{premultiply:!1}):r.demTexture=new w(t,r.dem.getPixels(),t.gl.RGBA,{premultiply:!1}),r.demTexture.bind(t.gl.NEAREST,t.gl.CLAMP_TO_EDGE),r.needsTerrainPrepare=!1}const n=r&&r+r.tileID.key+t.key;if(n&&!this._demMatrixCache[n]){const n=this.sourceCache.sourceCache._source.maxzoom;let i=t.canonical.z-r.tileID.canonical.z;t.overscaledZ>t.canonical.z&&(t.canonical.z>=n?i=t.canonical.z-n:e.w(\"cannot calculate elevation if elevation maxzoom > source.maxzoom\"));const a=t.canonical.x-(t.canonical.x>>i<<i),o=t.canonical.y-(t.canonical.y>>i<<i),s=e.bb(new Float64Array(16),[1/(e.X<<i),1/(e.X<<i),0]);e.J(s,s,[a*e.X,o*e.X,0]),this._demMatrixCache[t.key]={matrix:s,coord:t}}return{u_depth:2,u_terrain:3,u_terrain_dim:r&&r.dem&&r.dem.dim||1,u_terrain_matrix:n?this._demMatrixCache[t.key].matrix:this._emptyDemMatrix,u_terrain_unpack:r&&r.dem&&r.dem.getUnpackVector()||this._emptyDemUnpack,u_terrain_exaggeration:this.exaggeration,texture:(r&&r.demTexture||this._emptyDemTexture).texture,depthTexture:(this._fboDepthTexture||this._emptyDepthTexture).texture,tile:r}}getFramebuffer(t){const e=this.painter,r=e.width/devicePixelRatio,n=e.height/devicePixelRatio;return!this._fbo||this._fbo.width===r&&this._fbo.height===n||(this._fbo.destroy(),this._fboCoordsTexture.destroy(),this._fboDepthTexture.destroy(),delete this._fbo,delete this._fboDepthTexture,delete this._fboCoordsTexture),this._fboCoordsTexture||(this._fboCoordsTexture=new w(e.context,{width:r,height:n,data:null},e.context.gl.RGBA,{premultiply:!1}),this._fboCoordsTexture.bind(e.context.gl.NEAREST,e.context.gl.CLAMP_TO_EDGE)),this._fboDepthTexture||(this._fboDepthTexture=new w(e.context,{width:r,height:n,data:null},e.context.gl.RGBA,{premultiply:!1}),this._fboDepthTexture.bind(e.context.gl.NEAREST,e.context.gl.CLAMP_TO_EDGE)),this._fbo||(this._fbo=e.context.createFramebuffer(r,n,!0,!1),this._fbo.depthAttachment.set(e.context.createRenderbuffer(e.context.gl.DEPTH_COMPONENT16,r,n))),this._fbo.colorAttachment.set(\"coords\"===t?this._fboCoordsTexture.texture:this._fboDepthTexture.texture),this._fbo}getCoordsTexture(){const t=this.painter.context;if(this._coordsTexture)return this._coordsTexture;const r=new Uint8Array(this._coordsTextureSize*this._coordsTextureSize*4);for(let t=0,e=0;t<this._coordsTextureSize;t++)for(let n=0;n<this._coordsTextureSize;n++,e+=4)r[e+0]=255&n,r[e+1]=255&t,r[e+2]=n>>8<<4|t>>8,r[e+3]=0;const n=new e.R({width:this._coordsTextureSize,height:this._coordsTextureSize},new Uint8Array(r.buffer)),i=new w(t,n,t.gl.RGBA,{premultiply:!1});return i.bind(t.gl.NEAREST,t.gl.CLAMP_TO_EDGE),this._coordsTexture=i,i}pointCoordinate(t){this.painter.maybeDrawDepthAndCoords(!0);const r=new Uint8Array(4),n=this.painter.context,i=n.gl,a=Math.round(t.x*this.painter.pixelRatio/devicePixelRatio),o=Math.round(t.y*this.painter.pixelRatio/devicePixelRatio),s=Math.round(this.painter.height/devicePixelRatio);n.bindFramebuffer.set(this.getFramebuffer(\"coords\").framebuffer),i.readPixels(a,s-o-1,1,1,i.RGBA,i.UNSIGNED_BYTE,r),n.bindFramebuffer.set(null);const l=r[0]+(r[2]>>4<<8),c=r[1]+((15&r[2])<<8),u=this.coordsIndex[255-r[3]],h=u&&this.sourceCache.getTileByID(u);if(!h)return null;const f=this._coordsTextureSize,p=(1<<h.tileID.canonical.z)*f;return new e.Z((h.tileID.canonical.x*f+l)/p+h.tileID.wrap,(h.tileID.canonical.y*f+c)/p,this.getElevation(h.tileID,l,c,f))}depthAtPoint(t){const e=new Uint8Array(4),r=this.painter.context,n=r.gl;return r.bindFramebuffer.set(this.getFramebuffer(\"depth\").framebuffer),n.readPixels(t.x,this.painter.height/devicePixelRatio-t.y-1,1,1,n.RGBA,n.UNSIGNED_BYTE,e),r.bindFramebuffer.set(null),(e[0]/16777216+e[1]/65536+e[2]/256+e[3])/256}getTerrainMesh(){if(this._mesh)return this._mesh;const t=this.painter.context,r=new e.bc,n=new e.aY,i=this.meshSize,a=e.X/i,o=i*i;for(let t=0;t<=i;t++)for(let e=0;e<=i;e++)r.emplaceBack(e*a,t*a,0);for(let t=0;t<o;t+=i+1)for(let e=0;e<i;e++)n.emplaceBack(e+t,i+e+t+1,i+e+t+2),n.emplaceBack(e+t,i+e+t+2,e+t+1);const s=r.length,l=s+2*(i+1);for(const t of[0,1])for(let n=0;n<=i;n++)for(const i of[0,1])r.emplaceBack(n*a,t*e.X,i);for(let t=0;t<2*i;t+=2)n.emplaceBack(l+t,l+t+1,l+t+3),n.emplaceBack(l+t,l+t+3,l+t+2),n.emplaceBack(s+t,s+t+3,s+t+1),n.emplaceBack(s+t,s+t+2,s+t+3);const c=r.length,u=c+2*(i+1);for(const t of[0,1])for(let n=0;n<=i;n++)for(const i of[0,1])r.emplaceBack(t*e.X,n*a,i);for(let t=0;t<2*i;t+=2)n.emplaceBack(c+t,c+t+1,c+t+3),n.emplaceBack(c+t,c+t+3,c+t+2),n.emplaceBack(u+t,u+t+3,u+t+1),n.emplaceBack(u+t,u+t+2,u+t+3);return this._mesh=new wn(t.createVertexBuffer(r,zi.members),t.createIndexBuffer(n),e.a0.simpleSegment(0,0,r.length,n.length)),this._mesh}getMeshFrameDelta(t){return 2*Math.PI*e.bd/Math.pow(2,t)/5}getMinTileElevationForLngLatZoom(t,e){var r;const{tileID:n}=this._getOverscaledTileIDFromLngLatZoom(t,e);return null!==(r=this.getMinMaxElevation(n).minElevation)&&void 0!==r?r:0}getMinMaxElevation(t){const e=this.getTerrainData(t).tile,r={minElevation:null,maxElevation:null};return e&&e.dem&&(r.minElevation=e.dem.min*this.exaggeration,r.maxElevation=e.dem.max*this.exaggeration),r}_getOverscaledTileIDFromLngLatZoom(t,r){const n=e.Z.fromLngLat(t.wrap()),i=(1<<r)*e.X,a=n.x*i,o=n.y*i,s=Math.floor(a/e.X),l=Math.floor(o/e.X);return{tileID:new e.S(r,0,r,s,l),mercatorX:a,mercatorY:o}}}class Ri{constructor(t,e,r){this._context=t,this._size=e,this._tileSize=r,this._objects=[],this._recentlyUsed=[],this._stamp=0}destruct(){for(const t of this._objects)t.texture.destroy(),t.fbo.destroy()}_createObject(t){const e=this._context.createFramebuffer(this._tileSize,this._tileSize,!0,!0),r=new w(this._context,{width:this._tileSize,height:this._tileSize,data:null},this._context.gl.RGBA);return r.bind(this._context.gl.LINEAR,this._context.gl.CLAMP_TO_EDGE),e.depthAttachment.set(this._context.createRenderbuffer(this._context.gl.DEPTH_STENCIL,this._tileSize,this._tileSize)),e.colorAttachment.set(r.texture),{id:t,fbo:e,texture:r,stamp:-1,inUse:!1}}getObjectForId(t){return this._objects[t]}useObject(t){t.inUse=!0,this._recentlyUsed=this._recentlyUsed.filter((e=>t.id!==e)),this._recentlyUsed.push(t.id)}stampObject(t){t.stamp=++this._stamp}getOrCreateFreeObject(){for(const t of this._recentlyUsed)if(!this._objects[t].inUse)return this._objects[t];if(this._objects.length>=this._size)throw new Error(\"No free RenderPool available, call freeAllObjects() required!\");const t=this._createObject(this._objects.length);return this._objects.push(t),t}freeObject(t){t.inUse=!1}freeAllObjects(){for(const t of this._objects)this.freeObject(t)}isFull(){return!(this._objects.length<this._size)&&!1===this._objects.some((t=>!t.inUse))}}const Fi={background:!0,fill:!0,line:!0,raster:!0,hillshade:!0};class Bi{constructor(t,e){this.painter=t,this.terrain=e,this.pool=new Ri(t.context,30,e.sourceCache.tileSize*e.qualityFactor)}destruct(){this.pool.destruct()}getTexture(t){return this.pool.getObjectForId(t.rtt[this._stacks.length-1].id).texture}prepareForRender(t,e){this._stacks=[],this._prevType=null,this._rttTiles=[],this._renderableTiles=this.terrain.sourceCache.getRenderableTiles(),this._renderableLayerIds=t._order.filter((r=>!t._layers[r].isHidden(e))),this._coordsDescendingInv={};for(const e in t.sourceCaches){this._coordsDescendingInv[e]={};const r=t.sourceCaches[e].getVisibleCoordinates();for(const t of r){const r=this.terrain.sourceCache.getTerrainCoords(t);for(const t in r)this._coordsDescendingInv[e][t]||(this._coordsDescendingInv[e][t]=[]),this._coordsDescendingInv[e][t].push(r[t])}}this._coordsDescendingInvStr={};for(const e of t._order){const r=t._layers[e],n=r.source;if(Fi[r.type]&&!this._coordsDescendingInvStr[n]){this._coordsDescendingInvStr[n]={};for(const t in this._coordsDescendingInv[n])this._coordsDescendingInvStr[n][t]=this._coordsDescendingInv[n][t].map((t=>t.key)).sort().join()}}for(const t of this._renderableTiles)for(const e in this._coordsDescendingInvStr){const r=this._coordsDescendingInvStr[e][t.tileID.key];r&&r!==t.rttCoords[e]&&(t.rtt=[])}}renderLayer(t){if(t.isHidden(this.painter.transform.zoom))return!1;const r=t.type,n=this.painter,i=this._renderableLayerIds[this._renderableLayerIds.length-1]===t.id;if(Fi[r]&&(this._prevType&&Fi[this._prevType]||this._stacks.push([]),this._prevType=r,this._stacks[this._stacks.length-1].push(t.id),!i))return!0;if(Fi[this._prevType]||Fi[r]&&i){this._prevType=r;const t=this._stacks.length-1,i=this._stacks[t]||[];for(const r of this._renderableTiles){if(this.pool.isFull()&&(bn(this.painter,this.terrain,this._rttTiles),this._rttTiles=[],this.pool.freeAllObjects()),this._rttTiles.push(r),r.rtt[t]){const e=this.pool.getObjectForId(r.rtt[t].id);if(e.stamp===r.rtt[t].stamp){this.pool.useObject(e);continue}}const a=this.pool.getOrCreateFreeObject();this.pool.useObject(a),this.pool.stampObject(a),r.rtt[t]={id:a.id,stamp:a.stamp},n.context.bindFramebuffer.set(a.fbo.framebuffer),n.context.clear({color:e.aN.transparent,stencil:0}),n.currentStencilSource=void 0;for(let t=0;t<i.length;t++){const e=n.style._layers[i[t]],o=e.source?this._coordsDescendingInv[e.source][r.tileID.key]:[r.tileID];n.context.viewport.set([0,0,a.fbo.width,a.fbo.height]),n._renderTileClippingMasks(e,o),n.renderLayer(n,n.style.sourceCaches[e.source],e,o),e.source&&(r.rttCoords[e.source]=this._coordsDescendingInvStr[e.source][r.tileID.key])}}return bn(this.painter,this.terrain,this._rttTiles),this._rttTiles=[],this.pool.freeAllObjects(),Fi[r]}return!1}}const Ni={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"MapLibre logo\",\"Map.Title\":\"Map\",\"Marker.Title\":\"Map marker\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"Popup.Close\":\"Close popup\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\",\"TerrainControl.Enable\":\"Enable terrain\",\"TerrainControl.Disable\":\"Disable terrain\",\"CooperativeGesturesHandler.WindowsHelpText\":\"Use Ctrl + scroll to zoom the map\",\"CooperativeGesturesHandler.MacHelpText\":\"Use ⌘ + scroll to zoom the map\",\"CooperativeGesturesHandler.MobileHelpText\":\"Use two fingers to move the map\"},ji=r,Ui={hash:!1,interactive:!0,bearingSnap:7,attributionControl:Ci,maplibreLogo:!1,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,refreshExpiredTiles:!0,scrollZoom:!0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,cooperativeGestures:!1,trackResize:!0,center:[0,0],zoom:0,bearing:0,pitch:0,renderWorldCopies:!0,maxTileCacheSize:null,maxTileCacheZoomLevels:e.a.MAX_TILE_CACHE_ZOOM_LEVELS,transformRequest:null,transformCameraUpdate:null,fadeDuration:300,crossSourceCollisions:!0,clickTolerance:3,localIdeographFontFamily:\"sans-serif\",pitchWithRotate:!0,validateStyle:!0,maxCanvasSize:[4096,4096],cancelPendingTileRequestsWhileZooming:!0};const Vi=t=>{t.touchstart=t.dragStart,t.touchmoveWindow=t.dragMove,t.touchend=t.dragEnd},qi={showCompass:!0,showZoom:!0,visualizePitch:!1};class Hi{constructor(t,r,n=!1){this.mousedown=t=>{this.startMouse(e.e({},t,{ctrlKey:!0,preventDefault:()=>t.preventDefault()}),o.mousePos(this.element,t)),o.addEventListener(window,\"mousemove\",this.mousemove),o.addEventListener(window,\"mouseup\",this.mouseup)},this.mousemove=t=>{this.moveMouse(t,o.mousePos(this.element,t))},this.mouseup=t=>{this.mouseRotate.dragEnd(t),this.mousePitch&&this.mousePitch.dragEnd(t),this.offTemp()},this.touchstart=t=>{1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=o.touchPos(this.element,t.targetTouches)[0],this.startTouch(t,this._startPos),o.addEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),o.addEventListener(window,\"touchend\",this.touchend))},this.touchmove=t=>{1!==t.targetTouches.length?this.reset():(this._lastPos=o.touchPos(this.element,t.targetTouches)[0],this.moveTouch(t,this._lastPos))},this.touchend=t=>{0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),delete this._startPos,delete this._lastPos,this.offTemp()},this.reset=()=>{this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),this.touchRotate.reset(),this.touchPitch&&this.touchPitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()},this._clickTolerance=10;const i=t.dragRotate._mouseRotate.getClickTolerance(),a=t.dragRotate._mousePitch.getClickTolerance();this.element=r,this.mouseRotate=ei({clickTolerance:i,enable:!0}),this.touchRotate=(({enable:t,clickTolerance:e,bearingDegreesPerPixelMoved:r=.8})=>{const n=new Qn;return new $n({clickTolerance:e,move:(t,e)=>({bearingDelta:(e.x-t.x)*r}),moveStateManager:n,enable:t,assignEvents:Vi})})({clickTolerance:i,enable:!0}),this.map=t,n&&(this.mousePitch=ri({clickTolerance:a,enable:!0}),this.touchPitch=(({enable:t,clickTolerance:e,pitchDegreesPerPixelMoved:r=-.5})=>{const n=new Qn;return new $n({clickTolerance:e,move:(t,e)=>({pitchDelta:(e.y-t.y)*r}),moveStateManager:n,enable:t,assignEvents:Vi})})({clickTolerance:a,enable:!0})),o.addEventListener(r,\"mousedown\",this.mousedown),o.addEventListener(r,\"touchstart\",this.touchstart,{passive:!1}),o.addEventListener(r,\"touchcancel\",this.reset)}startMouse(t,e){this.mouseRotate.dragStart(t,e),this.mousePitch&&this.mousePitch.dragStart(t,e),o.disableDrag()}startTouch(t,e){this.touchRotate.dragStart(t,e),this.touchPitch&&this.touchPitch.dragStart(t,e),o.disableDrag()}moveMouse(t,e){const r=this.map,{bearingDelta:n}=this.mouseRotate.dragMove(t,e)||{};if(n&&r.setBearing(r.getBearing()+n),this.mousePitch){const{pitchDelta:n}=this.mousePitch.dragMove(t,e)||{};n&&r.setPitch(r.getPitch()+n)}}moveTouch(t,e){const r=this.map,{bearingDelta:n}=this.touchRotate.dragMove(t,e)||{};if(n&&r.setBearing(r.getBearing()+n),this.touchPitch){const{pitchDelta:n}=this.touchPitch.dragMove(t,e)||{};n&&r.setPitch(r.getPitch()+n)}}off(){const t=this.element;o.removeEventListener(t,\"mousedown\",this.mousedown),o.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),o.removeEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),o.removeEventListener(window,\"touchend\",this.touchend),o.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()}offTemp(){o.enableDrag(),o.removeEventListener(window,\"mousemove\",this.mousemove),o.removeEventListener(window,\"mouseup\",this.mouseup),o.removeEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),o.removeEventListener(window,\"touchend\",this.touchend)}}let Gi;function Zi(t,r,n){const i=new e.N(t.lng,t.lat);if(t=new e.N(t.lng,t.lat),r){const i=new e.N(t.lng-360,t.lat),a=new e.N(t.lng+360,t.lat),o=n.locationPoint(t).distSqr(r);n.locationPoint(i).distSqr(r)<o?t=i:n.locationPoint(a).distSqr(r)<o&&(t=a)}for(;Math.abs(t.lng-n.center.lng)>180;){const e=n.locationPoint(t);if(e.x>=0&&e.y>=0&&e.x<=n.width&&e.y<=n.height)break;t.lng>n.center.lng?t.lng-=360:t.lng+=360}return t.lng!==i.lng&&n.locationPoint(t).y>n.height/2-n.getHorizon()?t:i}const Wi={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Yi(t,e,r){const n=t.classList;for(const t in Wi)n.remove(`maplibregl-${r}-anchor-${t}`);n.add(`maplibregl-${r}-anchor-${e}`)}class Xi extends e.E{constructor(t){if(super(),this._onKeyPress=t=>{const e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},this._onMapClick=t=>{const e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},this._update=t=>{var e;if(!this._map)return;const r=this._map.loaded()&&!this._map.isMoving();(\"terrain\"===(null==t?void 0:t.type)||\"render\"===(null==t?void 0:t.type)&&!r)&&this._map.once(\"render\",this._update),this._map.transform.renderWorldCopies?this._lngLat=Zi(this._lngLat,this._flatPos,this._map.transform):this._lngLat=null===(e=this._lngLat)||void 0===e?void 0:e.wrap(),this._flatPos=this._pos=this._map.project(this._lngLat)._add(this._offset),this._map.terrain&&(this._flatPos=this._map.transform.locationPoint(this._lngLat)._add(this._offset));let n=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?n=`rotateZ(${this._rotation}deg)`:\"map\"===this._rotationAlignment&&(n=`rotateZ(${this._rotation-this._map.getBearing()}deg)`);let i=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?i=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(i=`rotateX(${this._map.getPitch()}deg)`),this._subpixelPositioning||t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),o.setTransform(this._element,`${Wi[this._anchor]} translate(${this._pos.x}px, ${this._pos.y}px) ${i} ${n}`),a.frameAsync(new AbortController).then((()=>{this._updateOpacity(t&&\"moveend\"===t.type)})).catch((()=>{}))},this._onMove=t=>{if(!this._isDragging){const e=this._clickTolerance||this._map._clickTolerance;this._isDragging=t.point.dist(this._pointerdownPos)>=e}this._isDragging&&(this._pos=t.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 e.k(\"dragstart\"))),this.fire(new e.k(\"drag\")))},this._onUp=()=>{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 e.k(\"dragend\")),this._state=\"inactive\"},this._addDragHandler=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))},this._anchor=t&&t.anchor||\"center\",this._color=t&&t.color||\"#3FB1CE\",this._scale=t&&t.scale||1,this._draggable=t&&t.draggable||!1,this._clickTolerance=t&&t.clickTolerance||0,this._subpixelPositioning=t&&t.subpixelPositioning||!1,this._isDragging=!1,this._state=\"inactive\",this._rotation=t&&t.rotation||0,this._rotationAlignment=t&&t.rotationAlignment||\"auto\",this._pitchAlignment=t&&t.pitchAlignment&&\"auto\"!==t.pitchAlignment?t.pitchAlignment:this._rotationAlignment,this.setOpacity(),this.setOpacity(null==t?void 0:t.opacity,null==t?void 0:t.opacityWhenCovered),t&&t.element)this._element=t.element,this._offset=e.P.convert(t&&t.offset||[0,0]);else{this._defaultMarker=!0,this._element=o.create(\"div\");const r=o.createNS(\"http://www.w3.org/2000/svg\",\"svg\"),n=41,i=27;r.setAttributeNS(null,\"display\",\"block\"),r.setAttributeNS(null,\"height\",`${n}px`),r.setAttributeNS(null,\"width\",`${i}px`),r.setAttributeNS(null,\"viewBox\",`0 0 ${i} ${n}`);const a=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");a.setAttributeNS(null,\"stroke\",\"none\"),a.setAttributeNS(null,\"stroke-width\",\"1\"),a.setAttributeNS(null,\"fill\",\"none\"),a.setAttributeNS(null,\"fill-rule\",\"evenodd\");const s=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"fill-rule\",\"nonzero\");const l=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),l.setAttributeNS(null,\"fill\",\"#000000\");const c=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];for(const t of c){const e=o.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");e.setAttributeNS(null,\"opacity\",\"0.04\"),e.setAttributeNS(null,\"cx\",\"10.5\"),e.setAttributeNS(null,\"cy\",\"5.80029008\"),e.setAttributeNS(null,\"rx\",t.rx),e.setAttributeNS(null,\"ry\",t.ry),l.appendChild(e)}const u=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");u.setAttributeNS(null,\"fill\",this._color);const h=o.createNS(\"http://www.w3.org/2000/svg\",\"path\");h.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),u.appendChild(h);const f=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");f.setAttributeNS(null,\"opacity\",\"0.25\"),f.setAttributeNS(null,\"fill\",\"#000000\");const p=o.createNS(\"http://www.w3.org/2000/svg\",\"path\");p.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),f.appendChild(p);const d=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),d.setAttributeNS(null,\"fill\",\"#FFFFFF\");const m=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");const g=o.createNS(\"http://www.w3.org/2000/svg\",\"circle\");g.setAttributeNS(null,\"fill\",\"#000000\"),g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"cx\",\"5.5\"),g.setAttributeNS(null,\"cy\",\"5.5\"),g.setAttributeNS(null,\"r\",\"5.4999962\");const y=o.createNS(\"http://www.w3.org/2000/svg\",\"circle\");y.setAttributeNS(null,\"fill\",\"#FFFFFF\"),y.setAttributeNS(null,\"cx\",\"5.5\"),y.setAttributeNS(null,\"cy\",\"5.5\"),y.setAttributeNS(null,\"r\",\"5.4999962\"),m.appendChild(g),m.appendChild(y),s.appendChild(l),s.appendChild(u),s.appendChild(f),s.appendChild(d),s.appendChild(m),r.appendChild(s),r.setAttributeNS(null,\"height\",n*this._scale+\"px\"),r.setAttributeNS(null,\"width\",i*this._scale+\"px\"),this._element.appendChild(r),this._offset=e.P.convert(t&&t.offset||[0,-14])}if(this._element.classList.add(\"maplibregl-marker\"),this._element.addEventListener(\"dragstart\",(t=>{t.preventDefault()})),this._element.addEventListener(\"mousedown\",(t=>{t.preventDefault()})),Yi(this._element,this._anchor,\"marker\"),t&&t.className)for(const e of t.className.split(\" \"))this._element.classList.add(e);this._popup=null}addTo(t){return this.remove(),this._map=t,this._element.setAttribute(\"aria-label\",t._getUIString(\"Marker.Title\")),t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),t.on(\"terrain\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this}remove(){return this._opacityTimeout&&(clearTimeout(this._opacityTimeout),delete this._opacityTimeout),this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"terrain\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),o.remove(this._element),this._popup&&this._popup.remove(),this}getLngLat(){return this._lngLat}setLngLat(t){return this._lngLat=e.N.convert(t),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this}getElement(){return this._element}setPopup(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){const e=38.1,r=13.5,n=Math.abs(r)/Math.SQRT2;t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-e],\"bottom-left\":[n,-1*(e-r+n)],\"bottom-right\":[-n,-1*(e-r+n)],left:[r,-1*(e-r)],right:[-r,-1*(e-r)]}:this._offset}this._popup=t,this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this}setSubpixelPositioning(t){return this._subpixelPositioning=t,this}getPopup(){return this._popup}togglePopup(){const t=this._popup;return this._element.style.opacity===this._opacityWhenCovered?this:t?(t.isOpen()?t.remove():(t.setLngLat(this._lngLat),t.addTo(this._map)),this):this}_updateOpacity(t=!1){var r,n;if(!(null===(r=this._map)||void 0===r?void 0:r.terrain))return void(this._element.style.opacity!==this._opacity&&(this._element.style.opacity=this._opacity));if(t)this._opacityTimeout=null;else{if(this._opacityTimeout)return;this._opacityTimeout=setTimeout((()=>{this._opacityTimeout=null}),100)}const i=this._map,a=i.terrain.depthAtPoint(this._pos),o=i.terrain.getElevationForLngLatZoom(this._lngLat,i.transform.tileZoom);if(i.transform.lngLatToCameraDepth(this._lngLat,o)-a<.006)return void(this._element.style.opacity=this._opacity);const s=-this._offset.y/i.transform._pixelPerMeter,l=Math.sin(i.getPitch()*Math.PI/180)*s,c=i.terrain.depthAtPoint(new e.P(this._pos.x,this._pos.y-this._offset.y)),u=i.transform.lngLatToCameraDepth(this._lngLat,o+l)-c>.006;(null===(n=this._popup)||void 0===n?void 0:n.isOpen())&&u&&this._popup.remove(),this._element.style.opacity=u?this._opacityWhenCovered:this._opacity}getOffset(){return this._offset}setOffset(t){return this._offset=e.P.convert(t),this._update(),this}addClassName(t){this._element.classList.add(t)}removeClassName(t){this._element.classList.remove(t)}toggleClassName(t){return this._element.classList.toggle(t)}setDraggable(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}isDraggable(){return this._draggable}setRotation(t){return this._rotation=t||0,this._update(),this}getRotation(){return this._rotation}setRotationAlignment(t){return this._rotationAlignment=t||\"auto\",this._update(),this}getRotationAlignment(){return this._rotationAlignment}setPitchAlignment(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this}getPitchAlignment(){return this._pitchAlignment}setOpacity(t,e){return void 0===t&&void 0===e&&(this._opacity=\"1\",this._opacityWhenCovered=\"0.2\"),void 0!==t&&(this._opacity=t),void 0!==e&&(this._opacityWhenCovered=e),this._map&&this._updateOpacity(!0),this}}const $i={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};let Ji=0,Ki=!1;class Qi extends e.E{constructor(t){super(),this._onSuccess=t=>{if(this._map){if(this._isOutOfMapMaxBounds(t))return this._setErrorState(),this.fire(new e.k(\"outofmaxbounds\",t)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=t,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background\");break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(t),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(t),this.options.showUserLocation&&this._dotElement.classList.remove(\"maplibregl-user-location-dot-stale\"),this.fire(new e.k(\"geolocate\",t)),this._finish()}},this._updateCamera=t=>{const r=new e.N(t.coords.longitude,t.coords.latitude),n=t.coords.accuracy,i=this._map.getBearing(),a=e.e({bearing:i},this.options.fitBoundsOptions),o=X.fromLngLat(r,n);this._map.fitBounds(o,a,{geolocateSource:!0})},this._updateMarker=t=>{if(t){const r=new e.N(t.coords.longitude,t.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=t.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},this._onZoom=()=>{this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},this._onError=t=>{if(this._map){if(this.options.trackUserLocation)if(1===t.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;const t=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=t,this._geolocateButton.setAttribute(\"aria-label\",t),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===t.code&&Ki)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"maplibregl-user-location-dot-stale\"),this.fire(new e.k(\"error\",t)),this._finish()}},this._finish=()=>{this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},this._setupUI=()=>{this._map&&(this._container.addEventListener(\"contextmenu\",(t=>t.preventDefault())),this._geolocateButton=o.create(\"button\",\"maplibregl-ctrl-geolocate\",this._container),o.create(\"span\",\"maplibregl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",\"true\"),this._geolocateButton.type=\"button\",this._geolocateButton.disabled=!0)},this._finishSetupUI=t=>{if(this._map){if(!1===t){e.w(\"Geolocation support is not available so the GeolocateControl will be disabled.\");const t=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=t,this._geolocateButton.setAttribute(\"aria-label\",t)}else{const t=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.disabled=!1,this._geolocateButton.title=t,this._geolocateButton.setAttribute(\"aria-label\",t)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=o.create(\"div\",\"maplibregl-user-location-dot\"),this._userLocationDotMarker=new Xi({element:this._dotElement}),this._circleElement=o.create(\"div\",\"maplibregl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Xi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",(()=>this.trigger())),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(t=>{const r=t.originalEvent&&\"resize\"===t.originalEvent.type;t.geolocateSource||\"ACTIVE_LOCK\"!==this._watchState||r||(this._watchState=\"BACKGROUND\",this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this.fire(new e.k(\"trackuserlocationend\")),this.fire(new e.k(\"userlocationlostfocus\")))}))}},this.options=e.e({},$i,t)}onAdd(t){return this._map=t,this._container=o.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._setupUI(),function(){return e._(this,arguments,void 0,(function*(t=!1){if(void 0!==Gi&&!t)return Gi;if(void 0===window.navigator.permissions)return Gi=!!window.navigator.geolocation,Gi;try{const t=yield window.navigator.permissions.query({name:\"geolocation\"});Gi=\"denied\"!==t.state}catch(t){Gi=!!window.navigator.geolocation}return Gi}))}().then((t=>this._finishSetupUI(t))),this._container}onRemove(){void 0!==this._geolocationWatchID&&(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(),o.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ji=0,Ki=!1}_isOutOfMapMaxBounds(t){const e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())}_setErrorState(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\");break;case\"ACTIVE_ERROR\":break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}}_updateCircleRadius(){const t=this._map.getBounds(),e=t.getSouthEast(),r=t.getNorthEast(),n=e.distanceTo(r),i=this._map._container.clientHeight,a=Math.ceil(this._accuracy/(n/i)*2);this._circleElement.style.width=`${a}px`,this._circleElement.style.height=`${a}px`}trigger(){if(!this._setup)return e.w(\"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 e.k(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ji--,Ki=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this.fire(new e.k(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new e.k(\"trackuserlocationstart\")),this.fire(new e.k(\"userlocationfocus\"));break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"OFF\":break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){let t;this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),Ji++,Ji>1?(t={maximumAge:6e5,timeout:0},Ki=!0):(t=this.options.positionOptions,Ki=!1),this._geolocationWatchID=window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,t)}}else window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0}_clearWatch(){window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)}}const ta={maxWidth:100,unit:\"metric\"};function ea(t,e,r){const n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){const r=3.2808*s;r>5280?ra(e,n,r/5280,t._getUIString(\"ScaleControl.Miles\")):ra(e,n,r,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?ra(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?ra(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):ra(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function ra(t,e,r,n){const i=function(t){const e=Math.pow(10,`${Math.floor(t)}`.length-1);let r=t/e;return r=r>=10?10:r>=5?5:r>=3?3:r>=2?2:r>=1?1:function(t){const e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(r),e*r}(r),a=i/r;t.style.width=e*a+\"px\",t.innerHTML=`${i}&nbsp;${n}`}class na extends e.E{constructor(t={}){super(),this._onFullscreenChange=()=>{var t;let e=window.document.fullscreenElement||window.document.mozFullScreenElement||window.document.webkitFullscreenElement||window.document.msFullscreenElement;for(;null===(t=null==e?void 0:e.shadowRoot)||void 0===t?void 0:t.fullscreenElement;)e=e.shadowRoot.fullscreenElement;e===this._container!==this._fullscreen&&this._handleFullscreenChange()},this._onClickFullscreen=()=>{this._isFullscreen()?this._exitFullscreen():this._requestFullscreen()},this._fullscreen=!1,t&&t.container&&(t.container instanceof HTMLElement?this._container=t.container:e.w(\"Full screen control 'container' must be a DOM element.\")),\"onfullscreenchange\"in document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in document&&(this._fullscreenchange=\"MSFullscreenChange\")}onAdd(t){return this._map=t,this._container||(this._container=this._map.getContainer()),this._controlContainer=o.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._setupUI(),this._controlContainer}onRemove(){o.remove(this._controlContainer),this._map=null,window.document.removeEventListener(this._fullscreenchange,this._onFullscreenChange)}_setupUI(){const t=this._fullscreenButton=o.create(\"button\",\"maplibregl-ctrl-fullscreen\",this._controlContainer);o.create(\"span\",\"maplibregl-ctrl-icon\",t).setAttribute(\"aria-hidden\",\"true\"),t.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),window.document.addEventListener(this._fullscreenchange,this._onFullscreenChange)}_updateTitle(){const t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t}_getTitle(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")}_isFullscreen(){return this._fullscreen}_handleFullscreenChange(){this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"maplibregl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"maplibregl-ctrl-fullscreen\"),this._updateTitle(),this._fullscreen?(this.fire(new e.k(\"fullscreenstart\")),this._prevCooperativeGesturesEnabled=this._map.cooperativeGestures.isEnabled(),this._map.cooperativeGestures.disable()):(this.fire(new e.k(\"fullscreenend\")),this._prevCooperativeGesturesEnabled&&this._map.cooperativeGestures.enable())}_exitFullscreen(){window.document.exitFullscreen?window.document.exitFullscreen():window.document.mozCancelFullScreen?window.document.mozCancelFullScreen():window.document.msExitFullscreen?window.document.msExitFullscreen():window.document.webkitCancelFullScreen?window.document.webkitCancelFullScreen():this._togglePseudoFullScreen()}_requestFullscreen(){this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen?this._container.webkitRequestFullscreen():this._togglePseudoFullScreen()}_togglePseudoFullScreen(){this._container.classList.toggle(\"maplibregl-pseudo-fullscreen\"),this._handleFullscreenChange(),this._map.resize()}}const ia={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\",subpixelPositioning:!1},aa=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \");class oa extends e.E{constructor(t){super(),this.remove=()=>(this._content&&o.remove(this._content),this._container&&(o.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),this._map._canvasContainer.classList.remove(\"maplibregl-track-pointer\"),delete this._map,this.fire(new e.k(\"close\"))),this),this._onMouseUp=t=>{this._update(t.point)},this._onMouseMove=t=>{this._update(t.point)},this._onDrag=t=>{this._update(t.point)},this._update=t=>{var e;const r=this._lngLat||this._trackPointer;if(!this._map||!r||!this._content)return;if(!this._container){if(this._container=o.create(\"div\",\"maplibregl-popup\",this._map.getContainer()),this._tip=o.create(\"div\",\"maplibregl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className)for(const t of this.options.className.split(\" \"))this._container.classList.add(t);this._closeButton&&this._closeButton.setAttribute(\"aria-label\",this._map._getUIString(\"Popup.Close\")),this._trackPointer&&this._container.classList.add(\"maplibregl-popup-track-pointer\")}if(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=Zi(this._lngLat,this._flatPos,this._map.transform):this._lngLat=null===(e=this._lngLat)||void 0===e?void 0:e.wrap(),this._trackPointer&&!t)return;const n=this._flatPos=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat);this._map.terrain&&(this._flatPos=this._trackPointer&&t?t:this._map.transform.locationPoint(this._lngLat));let i=this.options.anchor;const a=sa(this.options.offset);if(!i){const t=this._container.offsetWidth,e=this._container.offsetHeight;let r;r=n.y+a.bottom.y<e?[\"top\"]:n.y>this._map.transform.height-e?[\"bottom\"]:[],n.x<t/2?r.push(\"left\"):n.x>this._map.transform.width-t/2&&r.push(\"right\"),i=0===r.length?\"bottom\":r.join(\"-\")}let s=n.add(a[i]);this.options.subpixelPositioning||(s=s.round()),o.setTransform(this._container,`${Wi[i]} translate(${s.x}px,${s.y}px)`),Yi(this._container,i,\"popup\")},this._onClose=()=>{this.remove()},this.options=e.e(Object.create(ia),t)}addTo(t){return this._map&&this.remove(),this._map=t,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(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"maplibregl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new e.k(\"open\")),this}isOpen(){return!!this._map}getLngLat(){return this._lngLat}setLngLat(t){return this._lngLat=e.N.convert(t),this._pos=null,this._flatPos=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(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"maplibregl-track-pointer\")),this}trackPointer(){return this._trackPointer=!0,this._pos=null,this._flatPos=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(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"maplibregl-track-pointer\")),this}getElement(){return this._container}setText(t){return this.setDOMContent(document.createTextNode(t))}setHTML(t){const e=document.createDocumentFragment(),r=document.createElement(\"body\");let n;for(r.innerHTML=t;n=r.firstChild,n;)e.appendChild(n);return this.setDOMContent(e)}getMaxWidth(){var t;return null===(t=this._container)||void 0===t?void 0:t.style.maxWidth}setMaxWidth(t){return this.options.maxWidth=t,this._update(),this}setDOMContent(t){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=o.create(\"div\",\"maplibregl-popup-content\",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),this}addClassName(t){return this._container&&this._container.classList.add(t),this}removeClassName(t){return this._container&&this._container.classList.remove(t),this}setOffset(t){return this.options.offset=t,this._update(),this}toggleClassName(t){if(this._container)return this._container.classList.toggle(t)}setSubpixelPositioning(t){this.options.subpixelPositioning=t}_createCloseButton(){this.options.closeButton&&(this._closeButton=o.create(\"button\",\"maplibregl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))}_focusFirstElement(){if(!this.options.focusAfterOpen||!this._container)return;const t=this._container.querySelector(aa);t&&t.focus()}}function sa(t){if(t){if(\"number\"==typeof t){const r=Math.round(Math.abs(t)/Math.SQRT2);return{center:new e.P(0,0),top:new e.P(0,t),\"top-left\":new e.P(r,r),\"top-right\":new e.P(-r,r),bottom:new e.P(0,-t),\"bottom-left\":new e.P(r,-r),\"bottom-right\":new e.P(-r,-r),left:new e.P(t,0),right:new e.P(-t,0)}}if(t instanceof e.P||Array.isArray(t)){const r=e.P.convert(t);return{center:r,top:r,\"top-left\":r,\"top-right\":r,bottom:r,\"bottom-left\":r,\"bottom-right\":r,left:r,right:r}}return{center:e.P.convert(t.center||[0,0]),top:e.P.convert(t.top||[0,0]),\"top-left\":e.P.convert(t[\"top-left\"]||[0,0]),\"top-right\":e.P.convert(t[\"top-right\"]||[0,0]),bottom:e.P.convert(t.bottom||[0,0]),\"bottom-left\":e.P.convert(t[\"bottom-left\"]||[0,0]),\"bottom-right\":e.P.convert(t[\"bottom-right\"]||[0,0]),left:e.P.convert(t.left||[0,0]),right:e.P.convert(t.right||[0,0])}}return sa(new e.P(0,0))}const la=r;t.AJAXError=e.bg,t.Evented=e.E,t.LngLat=e.N,t.MercatorCoordinate=e.Z,t.Point=e.P,t.addProtocol=e.bh,t.config=e.a,t.removeProtocol=e.bi,t.AttributionControl=Li,t.BoxZoomHandler=Gn,t.CanvasSource=it,t.CooperativeGesturesHandler=Ti,t.DoubleClickZoomHandler=yi,t.DragPanHandler=_i,t.DragRotateHandler=bi,t.EdgeInsets=Mn,t.FullscreenControl=na,t.GeoJSONSource=tt,t.GeolocateControl=Qi,t.Hash=Ln,t.ImageSource=rt,t.KeyboardHandler=pi,t.LngLatBounds=X,t.LogoControl=Ii,t.Map=class extends Ei{constructor(t){e.be.mark(e.bf.create);const r=Object.assign(Object.assign({},Ui),t);if(null!=r.minZoom&&null!=r.maxZoom&&r.minZoom>r.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=r.minPitch&&null!=r.maxPitch&&r.minPitch>r.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=r.minPitch&&r.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=r.maxPitch&&r.maxPitch>85)throw new Error(\"maxPitch must be less than or equal to 85\");if(super(new En(r.minZoom,r.maxZoom,r.minPitch,r.maxPitch,r.renderWorldCopies),{bearingSnap:r.bearingSnap}),this._idleTriggered=!1,this._crossFadingFactor=1,this._renderTaskQueue=new Pi,this._controls=[],this._mapId=e.a4(),this._contextLost=t=>{t.preventDefault(),this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this.fire(new e.k(\"webglcontextlost\",{originalEvent:t}))},this._contextRestored=t=>{this._setupPainter(),this.resize(),this._update(),this.fire(new e.k(\"webglcontextrestored\",{originalEvent:t}))},this._onMapScroll=t=>{if(t.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},this._onWindowOnline=()=>{this._update()},this._interactive=r.interactive,this._maxTileCacheSize=r.maxTileCacheSize,this._maxTileCacheZoomLevels=r.maxTileCacheZoomLevels,this._failIfMajorPerformanceCaveat=!0===r.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=!0===r.preserveDrawingBuffer,this._antialias=!0===r.antialias,this._trackResize=!0===r.trackResize,this._bearingSnap=r.bearingSnap,this._refreshExpiredTiles=!0===r.refreshExpiredTiles,this._fadeDuration=r.fadeDuration,this._crossSourceCollisions=!0===r.crossSourceCollisions,this._collectResourceTiming=!0===r.collectResourceTiming,this._locale=Object.assign(Object.assign({},Ni),r.locale),this._clickTolerance=r.clickTolerance,this._overridePixelRatio=r.pixelRatio,this._maxCanvasSize=r.maxCanvasSize,this.transformCameraUpdate=r.transformCameraUpdate,this.cancelPendingTileRequestsWhileZooming=!0===r.cancelPendingTileRequestsWhileZooming,this._imageQueueHandle=p.addThrottleControl((()=>this.isMoving())),this._requestManager=new d(r.transformRequest),\"string\"==typeof r.container){if(this._container=document.getElementById(r.container),!this._container)throw new Error(`Container '${r.container}' not found.`)}else{if(!(r.container instanceof HTMLElement))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=r.container}if(r.maxBounds&&this.setMaxBounds(r.maxBounds),this._setupContainer(),this._setupPainter(),this.on(\"move\",(()=>this._update(!1))).on(\"moveend\",(()=>this._update(!1))).on(\"zoom\",(()=>this._update(!0))).on(\"terrain\",(()=>{this.painter.terrainFacilitator.dirty=!0,this._update(!0)})).once(\"idle\",(()=>{this._idleTriggered=!0})),\"undefined\"!=typeof window){addEventListener(\"online\",this._onWindowOnline,!1);let t=!1;const e=Cn((t=>{this._trackResize&&!this._removed&&this.resize(t)._update()}),50);this._resizeObserver=new ResizeObserver((r=>{t?e(r):t=!0})),this._resizeObserver.observe(this._container)}this.handlers=new Si(this,r);const n=\"string\"==typeof r.hash&&r.hash||void 0;this._hash=r.hash&&new Ln(n).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:r.center,zoom:r.zoom,bearing:r.bearing,pitch:r.pitch}),r.bounds&&(this.resize(),this.fitBounds(r.bounds,e.e({},r.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=r.localIdeographFontFamily,this._validateStyle=r.validateStyle,r.style&&this.setStyle(r.style,{localIdeographFontFamily:r.localIdeographFontFamily}),r.attributionControl&&this.addControl(new Li(\"boolean\"==typeof r.attributionControl?void 0:r.attributionControl)),r.maplibreLogo&&this.addControl(new Ii,r.logoPosition),this.on(\"style.load\",(()=>{this.transform.unmodified&&this.jumpTo(this.style.stylesheet)})),this.on(\"data\",(t=>{this._update(\"style\"===t.dataType),this.fire(new e.k(`${t.dataType}data`,t))})),this.on(\"dataloading\",(t=>{this.fire(new e.k(`${t.dataType}dataloading`,t))})),this.on(\"dataabort\",(t=>{this.fire(new e.k(\"sourcedataabort\",t))}))}_getMapId(){return this._mapId}addControl(t,r){if(void 0===r&&(r=t.getDefaultPosition?t.getDefaultPosition():\"top-right\"),!t||!t.onAdd)return this.fire(new e.j(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));const n=t.onAdd(this);this._controls.push(t);const i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this}removeControl(t){if(!t||!t.onRemove)return this.fire(new e.j(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));const r=this._controls.indexOf(t);return r>-1&&this._controls.splice(r,1),t.onRemove(this),this}hasControl(t){return this._controls.indexOf(t)>-1}calculateCameraOptionsFromTo(t,e,r,n){return null==n&&this.terrain&&(n=this.terrain.getElevationForLngLatZoom(r,this.transform.tileZoom)),super.calculateCameraOptionsFromTo(t,e,r,n)}resize(t){var r;const n=this._containerDimensions(),i=n[0],a=n[1],o=this._getClampedPixelRatio(i,a);if(this._resizeCanvas(i,a,o),this.painter.resize(i,a,o),this.painter.overLimit()){const t=this.painter.context.gl;this._maxCanvasSize=[t.drawingBufferWidth,t.drawingBufferHeight];const e=this._getClampedPixelRatio(i,a);this._resizeCanvas(i,a,e),this.painter.resize(i,a,e)}this.transform.resize(i,a),null===(r=this._requestedCameraState)||void 0===r||r.resize(i,a);const s=!this._moving;return s&&(this.stop(),this.fire(new e.k(\"movestart\",t)).fire(new e.k(\"move\",t))),this.fire(new e.k(\"resize\",t)),s&&this.fire(new e.k(\"moveend\",t)),this}_getClampedPixelRatio(t,e){const{0:r,1:n}=this._maxCanvasSize,i=this.getPixelRatio(),a=t*i,o=e*i,s=a>r?r/a:1,l=o>n?n/o:1;return Math.min(s,l)*i}getPixelRatio(){var t;return null!==(t=this._overridePixelRatio)&&void 0!==t?t:devicePixelRatio}setPixelRatio(t){this._overridePixelRatio=t,this.resize()}getBounds(){return this.transform.getBounds()}getMaxBounds(){return this.transform.getMaxBounds()}setMaxBounds(t){return this.transform.setMaxBounds(X.convert(t)),this._update()}setMinZoom(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")}getMinZoom(){return this.transform.minZoom}setMaxZoom(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")}getMaxZoom(){return this.transform.maxZoom}setMinPitch(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")}getMinPitch(){return this.transform.minPitch}setMaxPitch(t){if((t=null==t?60:t)>85)throw new Error(\"maxPitch must be less than or equal to 85\");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\")}getMaxPitch(){return this.transform.maxPitch}getRenderWorldCopies(){return this.transform.renderWorldCopies}setRenderWorldCopies(t){return this.transform.renderWorldCopies=t,this._update()}project(t){return this.transform.locationPoint(e.N.convert(t),this.style&&this.terrain)}unproject(t){return this.transform.pointLocation(e.P.convert(t),this.terrain)}isMoving(){var t;return this._moving||(null===(t=this.handlers)||void 0===t?void 0:t.isMoving())}isZooming(){var t;return this._zooming||(null===(t=this.handlers)||void 0===t?void 0:t.isZooming())}isRotating(){var t;return this._rotating||(null===(t=this.handlers)||void 0===t?void 0:t.isRotating())}_createDelegatedListener(t,e,r){if(\"mouseenter\"===t||\"mouseover\"===t){let n=!1;const i=i=>{const a=this.getLayer(e)?this.queryRenderedFeatures(i.point,{layers:[e]}):[];a.length?n||(n=!0,r.call(this,new Nn(t,this,i.originalEvent,{features:a}))):n=!1};return{layer:e,listener:r,delegates:{mousemove:i,mouseout:()=>{n=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){let n=!1;const i=i=>{(this.getLayer(e)?this.queryRenderedFeatures(i.point,{layers:[e]}):[]).length?n=!0:n&&(n=!1,r.call(this,new Nn(t,this,i.originalEvent)))},a=e=>{n&&(n=!1,r.call(this,new Nn(t,this,e.originalEvent)))};return{layer:e,listener:r,delegates:{mousemove:i,mouseout:a}}}{const n=t=>{const n=this.getLayer(e)?this.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(this,t),delete t.features)};return{layer:e,listener:r,delegates:{[t]:n}}}}on(t,e,r){if(void 0===r)return super.on(t,e);const n=this._createDelegatedListener(t,e,r);this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(n);for(const t in n.delegates)this.on(t,n.delegates[t]);return this}once(t,e,r){if(void 0===r)return super.once(t,e);const n=this._createDelegatedListener(t,e,r);for(const t in n.delegates)this.once(t,n.delegates[t]);return this}off(t,e,r){if(void 0===r)return super.off(t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&(n=>{const i=n[t];for(let t=0;t<i.length;t++){const n=i[t];if(n.layer===e&&n.listener===r){for(const t in n.delegates)this.off(t,n.delegates[t]);return i.splice(t,1),this}}})(this._delegatedListeners),this}queryRenderedFeatures(t,r){if(!this.style)return[];let n;const i=t instanceof e.P||Array.isArray(t),a=i?t:[[0,0],[this.transform.width,this.transform.height]];if(r=r||(i?{}:t)||{},a instanceof e.P||\"number\"==typeof a[0])n=[e.P.convert(a)];else{const t=e.P.convert(a[0]),r=e.P.convert(a[1]);n=[t,new e.P(r.x,t.y),r,new e.P(t.x,r.y),t]}return this.style.queryRenderedFeatures(n,r,this.transform)}querySourceFeatures(t,e){return this.style.querySourceFeatures(t,e)}setStyle(t,r){return!1!==(r=e.e({},{localIdeographFontFamily:this._localIdeographFontFamily,validate:this._validateStyle},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&t?(this._diffStyle(t,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(t,r))}setTransformRequest(t){return this._requestManager.setTransformRequest(t),this}_getUIString(t){const e=this._locale[t];if(null==e)throw new Error(`Missing UI string '${t}'`);return e}_updateStyle(t,e){if(e.transformStyle&&this.style&&!this.style._loaded)return void this.style.once(\"style.load\",(()=>this._updateStyle(t,e)));const r=this.style&&e.transformStyle?this.style.serialize():void 0;return this.style&&(this.style.setEventedParent(null),this.style._remove(!t)),t?(this.style=new de(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t,e,r):this.style.loadJSON(t,e,r),this):(delete this.style,this)}_lazyInitEmptyStyle(){this.style||(this.style=new de(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())}_diffStyle(t,r){if(\"string\"==typeof t){const n=t,i=this._requestManager.transformRequest(n,\"Style\");e.h(i,new AbortController).then((t=>{this._updateDiff(t.data,r)})).catch((t=>{t&&this.fire(new e.j(t))}))}else\"object\"==typeof t&&this._updateDiff(t,r)}_updateDiff(t,r){try{this.style.setState(t,r)&&this._update(!0)}catch(n){e.w(`Unable to perform style diff: ${n.message||n.error||n}.  Rebuilding the style from scratch.`),this._updateStyle(t,r)}}getStyle(){if(this.style)return this.style.serialize()}isStyleLoaded(){return this.style?this.style.loaded():e.w(\"There is no style added to the map.\")}addSource(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)}isSourceLoaded(t){const r=this.style&&this.style.sourceCaches[t];if(void 0!==r)return r.loaded();this.fire(new e.j(new Error(`There is no source with ID '${t}'`)))}setTerrain(t){if(this.style._checkLoaded(),this._terrainDataCallback&&this.style.off(\"data\",this._terrainDataCallback),t){const r=this.style.sourceCaches[t.source];if(!r)throw new Error(`cannot load terrain, because there exists no source with ID: ${t.source}`);null===this.terrain&&r.reload();for(const r in this.style._layers){const n=this.style._layers[r];\"hillshade\"===n.type&&n.source===t.source&&e.w(\"You are using the same source for a hillshade layer and for 3D terrain. Please consider using two separate sources to improve rendering quality.\")}this.terrain=new Di(this.painter,r,t),this.painter.renderToTexture=new Bi(this.painter,this.terrain),this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this._terrainDataCallback=e=>{\"style\"===e.dataType?this.terrain.sourceCache.freeRtt():\"source\"===e.dataType&&e.tile&&(e.sourceId!==t.source||this._elevationFreeze||(this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom)),this.terrain.sourceCache.freeRtt(e.tile.tileID))},this.style.on(\"data\",this._terrainDataCallback)}else this.terrain&&this.terrain.sourceCache.destruct(),this.terrain=null,this.painter.renderToTexture&&this.painter.renderToTexture.destruct(),this.painter.renderToTexture=null,this.transform.minElevationForCurrentTile=0,this.transform.elevation=0;return this.fire(new e.k(\"terrain\",{terrain:t})),this}getTerrain(){var t,e;return null!==(e=null===(t=this.terrain)||void 0===t?void 0:t.options)&&void 0!==e?e:null}areTilesLoaded(){const t=this.style&&this.style.sourceCaches;for(const e in t){const r=t[e]._tiles;for(const t in r){const e=r[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}}return!0}removeSource(t){return this.style.removeSource(t),this._update(!0)}getSource(t){return this.style.getSource(t)}addImage(t,r,n={}){const{pixelRatio:i=1,sdf:o=!1,stretchX:s,stretchY:l,content:c,textFitWidth:u,textFitHeight:h}=n;this._lazyInitEmptyStyle();if(!(r instanceof HTMLImageElement||e.b(r))){if(void 0===r.width||void 0===r.height)return this.fire(new e.j(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));{const{width:n,height:a,data:f}=r,p=r;return this.style.addImage(t,{data:new e.R({width:n,height:a},new Uint8Array(f)),pixelRatio:i,stretchX:s,stretchY:l,content:c,textFitWidth:u,textFitHeight:h,sdf:o,version:0,userImage:p}),p.onAdd&&p.onAdd(this,t),this}}{const{width:n,height:f,data:p}=a.getImageData(r);this.style.addImage(t,{data:new e.R({width:n,height:f},p),pixelRatio:i,stretchX:s,stretchY:l,content:c,textFitWidth:u,textFitHeight:h,sdf:o,version:0})}}updateImage(t,r){const n=this.style.getImage(t);if(!n)return this.fire(new e.j(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));const i=r instanceof HTMLImageElement||e.b(r)?a.getImageData(r):r,{width:o,height:s,data:l}=i;if(void 0===o||void 0===s)return this.fire(new e.j(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(o!==n.data.width||s!==n.data.height)return this.fire(new e.j(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));const c=!(r instanceof HTMLImageElement||e.b(r));return n.data.replace(l,c),this.style.updateImage(t,n),this}getImage(t){return this.style.getImage(t)}hasImage(t){return t?!!this.style.getImage(t):(this.fire(new e.j(new Error(\"Missing required image id\"))),!1)}removeImage(t){this.style.removeImage(t)}loadImage(t){return p.getImage(this._requestManager.transformRequest(t,\"Image\"),new AbortController)}listImages(){return this.style.listImages()}addLayer(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)}moveLayer(t,e){return this.style.moveLayer(t,e),this._update(!0)}removeLayer(t){return this.style.removeLayer(t),this._update(!0)}getLayer(t){return this.style.getLayer(t)}getLayersOrder(){return this.style.getLayersOrder()}setLayerZoomRange(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)}setFilter(t,e,r={}){return this.style.setFilter(t,e,r),this._update(!0)}getFilter(t){return this.style.getFilter(t)}setPaintProperty(t,e,r,n={}){return this.style.setPaintProperty(t,e,r,n),this._update(!0)}getPaintProperty(t,e){return this.style.getPaintProperty(t,e)}setLayoutProperty(t,e,r,n={}){return this.style.setLayoutProperty(t,e,r,n),this._update(!0)}getLayoutProperty(t,e){return this.style.getLayoutProperty(t,e)}setGlyphs(t,e={}){return this._lazyInitEmptyStyle(),this.style.setGlyphs(t,e),this._update(!0)}getGlyphs(){return this.style.getGlyphsUrl()}addSprite(t,e,r={}){return this._lazyInitEmptyStyle(),this.style.addSprite(t,e,r,(t=>{t||this._update(!0)})),this}removeSprite(t){return this._lazyInitEmptyStyle(),this.style.removeSprite(t),this._update(!0)}getSprite(){return this.style.getSprite()}setSprite(t,e={}){return this._lazyInitEmptyStyle(),this.style.setSprite(t,e,(t=>{t||this._update(!0)})),this}setLight(t,e={}){return this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)}getLight(){return this.style.getLight()}setSky(t){return this._lazyInitEmptyStyle(),this.style.setSky(t),this._update(!0)}getSky(){return this.style.getSky()}setFeatureState(t,e){return this.style.setFeatureState(t,e),this._update()}removeFeatureState(t,e){return this.style.removeFeatureState(t,e),this._update()}getFeatureState(t){return this.style.getFeatureState(t)}getContainer(){return this._container}getCanvasContainer(){return this._canvasContainer}getCanvas(){return this._canvas}_containerDimensions(){let t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]}_setupContainer(){const t=this._container;t.classList.add(\"maplibregl-map\");const e=this._canvasContainer=o.create(\"div\",\"maplibregl-canvas-container\",t);this._interactive&&e.classList.add(\"maplibregl-interactive\"),this._canvas=o.create(\"canvas\",\"maplibregl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",this._interactive?\"0\":\"-1\"),this._canvas.setAttribute(\"aria-label\",this._getUIString(\"Map.Title\")),this._canvas.setAttribute(\"role\",\"region\");const r=this._containerDimensions(),n=this._getClampedPixelRatio(r[0],r[1]);this._resizeCanvas(r[0],r[1],n);const i=this._controlContainer=o.create(\"div\",\"maplibregl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((t=>{a[t]=o.create(\"div\",`maplibregl-ctrl-${t} `,i)})),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)}_resizeCanvas(t,e,r){this._canvas.width=Math.floor(r*t),this._canvas.height=Math.floor(r*e),this._canvas.style.width=`${t}px`,this._canvas.style.height=`${e}px`}_setupPainter(){const t={alpha:!0,stencil:!0,depth:!0,failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1};let e=null;this._canvas.addEventListener(\"webglcontextcreationerror\",(r=>{e={requestedAttributes:t},r&&(e.statusMessage=r.statusMessage,e.type=r.type)}),{once:!0});const r=this._canvas.getContext(\"webgl2\",t)||this._canvas.getContext(\"webgl\",t);if(!r){const t=\"Failed to initialize WebGL\";throw e?(e.message=t,new Error(JSON.stringify(e))):new Error(t)}this.painter=new Tn(r,this.transform),s.testSupport(r)}loaded(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()}_update(t){return this.style&&this.style._loaded?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this}_requestRenderFrame(t){return this._update(),this._renderTaskQueue.add(t)}_cancelRenderFrame(t){this._renderTaskQueue.remove(t)}_render(t){const r=this._idleTriggered?this._fadeDuration:0;if(this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(t),this._removed)return;let n=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;const t=this.transform.zoom,i=a.now();this.style.zoomHistory.update(t,i);const o=new e.a9(t,{now:i,fadeDuration:r,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),s=o.crossFadingFactor();1===s&&s===this._crossFadingFactor||(n=!0,this._crossFadingFactor=s),this.style.update(o)}this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this.terrain?(this.terrain.sourceCache.update(this.transform,this.terrain),this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this._elevationFreeze||(this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom))):(this.transform.minElevationForCurrentTile=0,this.transform.elevation=0),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,r,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:r,showPadding:this.showPadding}),this.fire(new e.k(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,e.be.mark(e.bf.load),this.fire(new e.k(\"load\"))),this.style&&(this.style.hasTransitions()||n)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles();const i=this._sourcesDirty||this._styleDirty||this._placementDirty;return i||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new e.k(\"idle\")),!this._loaded||this._fullyLoaded||i||(this._fullyLoaded=!0,e.be.mark(e.bf.fullLoad)),this}redraw(){return this.style&&(this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._render(0)),this}remove(){var t;this._hash&&this._hash.remove();for(const t of this._controls)t.onRemove(this);this._controls=[],this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),\"undefined\"!=typeof window&&removeEventListener(\"online\",this._onWindowOnline,!1),p.removeThrottleControl(this._imageQueueHandle),null===(t=this._resizeObserver)||void 0===t||t.disconnect();const r=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");(null==r?void 0:r.loseContext)&&r.loseContext(),this._canvas.removeEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.removeEventListener(\"webglcontextlost\",this._contextLost,!1),o.remove(this._canvasContainer),o.remove(this._controlContainer),this._container.classList.remove(\"maplibregl-map\"),e.be.clearMetrics(),this._removed=!0,this.fire(new e.k(\"remove\"))}triggerRepaint(){this.style&&!this._frameRequest&&(this._frameRequest=new AbortController,a.frameAsync(this._frameRequest).then((t=>{e.be.frame(t),this._frameRequest=null,this._render(t)})).catch((()=>{})))}get showTileBoundaries(){return!!this._showTileBoundaries}set showTileBoundaries(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())}get showPadding(){return!!this._showPadding}set showPadding(t){this._showPadding!==t&&(this._showPadding=t,this._update())}get showCollisionBoxes(){return!!this._showCollisionBoxes}set showCollisionBoxes(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())}get showOverdrawInspector(){return!!this._showOverdrawInspector}set showOverdrawInspector(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())}get repaint(){return!!this._repaint}set repaint(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())}get vertices(){return!!this._vertices}set vertices(t){this._vertices=t,this._update()}get version(){return ji}getCameraTargetElevation(){return this.transform.elevation}},t.MapMouseEvent=Nn,t.MapTouchEvent=jn,t.MapWheelEvent=Un,t.Marker=Xi,t.NavigationControl=class{constructor(t){this._updateZoomButtons=()=>{const t=this._map.getZoom(),e=t===this._map.getMaxZoom(),r=t===this._map.getMinZoom();this._zoomInButton.disabled=e,this._zoomOutButton.disabled=r,this._zoomInButton.setAttribute(\"aria-disabled\",e.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",r.toString())},this._rotateCompassArrow=()=>{const t=this.options.visualizePitch?`scale(${1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)}) rotateX(${this._map.transform.pitch}deg) rotateZ(${this._map.transform.angle*(180/Math.PI)}deg)`:`rotate(${this._map.transform.angle*(180/Math.PI)}deg)`;this._compassIcon.style.transform=t},this._setButtonTitle=(t,e)=>{const r=this._map._getUIString(`NavigationControl.${e}`);t.title=r,t.setAttribute(\"aria-label\",r)},this.options=e.e({},qi,t),this._container=o.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(t=>t.preventDefault())),this.options.showZoom&&(this._zoomInButton=this._createButton(\"maplibregl-ctrl-zoom-in\",(t=>this._map.zoomIn({},{originalEvent:t}))),o.create(\"span\",\"maplibregl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",\"true\"),this._zoomOutButton=this._createButton(\"maplibregl-ctrl-zoom-out\",(t=>this._map.zoomOut({},{originalEvent:t}))),o.create(\"span\",\"maplibregl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",\"true\")),this.options.showCompass&&(this._compass=this._createButton(\"maplibregl-ctrl-compass\",(t=>{this.options.visualizePitch?this._map.resetNorthPitch({},{originalEvent:t}):this._map.resetNorth({},{originalEvent:t})})),this._compassIcon=o.create(\"span\",\"maplibregl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",\"true\"))}onAdd(t){return 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+       "        });\n",
+       "        require(['plotly'], function(Plotly) {\n",
+       "            window._Plotly = Plotly;\n",
+       "        });\n",
+       "        }\n",
+       "        </script>\n",
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+      ]
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+          21.815460205078125,
+          -0.030794143676757812,
+          21.815460205078125,
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+          -0.030794143676757812,
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+          -0.030794143676757812,
+          -0.030794143676757812
+         ]
         }
        ],
        "layout": {
-        "paper_bgcolor": "rgba(0,0,0,0)",
-        "plot_bgcolor": "rgba(0,0,0,0)",
         "scene": {
          "xaxis": {
           "visible": false
@@ -478,6 +1265,57 @@
             "type": "heatmap"
            }
           ],
+          "heatmapgl": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "colorscale": [
+             [
+              0,
+              "#0d0887"
+             ],
+             [
+              0.1111111111111111,
+              "#46039f"
+             ],
+             [
+              0.2222222222222222,
+              "#7201a8"
+             ],
+             [
+              0.3333333333333333,
+              "#9c179e"
+             ],
+             [
+              0.4444444444444444,
+              "#bd3786"
+             ],
+             [
+              0.5555555555555556,
+              "#d8576b"
+             ],
+             [
+              0.6666666666666666,
+              "#ed7953"
+             ],
+             [
+              0.7777777777777778,
+              "#fb9f3a"
+             ],
+             [
+              0.8888888888888888,
+              "#fdca26"
+             ],
+             [
+              1,
+              "#f0f921"
+             ]
+            ],
+            "type": "heatmapgl"
+           }
+          ],
           "histogram": [
            {
             "marker": {
@@ -678,17 +1516,6 @@
             "type": "scattergl"
            }
           ],
-          "scattermap": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scattermap"
-           }
-          ],
           "scattermapbox": [
            {
             "marker": {
@@ -1076,7 +1903,35 @@
          }
         }
        }
-      }
+      },
+      "image/png": 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   {
    "cell_type": "markdown",
    "id": "11",
-   "metadata": {},
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+    "slideshow": {
+     "slide_type": ""
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+    "tags": []
+   },
    "source": [
     "From the `BASE_SCENE` object, we can generate random variations of it.\n",
     "Two main types of variations are considered here:\n",
@@ -1139,18 +2000,15 @@
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+       "                            \n",
+       "var gd = document.getElementById('268f14be-3618-4f17-bf65-1885949cf6fc');\n",
+       "var x = new MutationObserver(function (mutations, observer) {{\n",
+       "        var display = window.getComputedStyle(gd).display;\n",
+       "        if (!display || display === 'none') {{\n",
+       "            console.log([gd, 'removed!']);\n",
+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
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+       "}}\n",
+       "\n",
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+       "\n",
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+      ]
      },
      "metadata": {},
      "output_type": "display_data"
@@ -2006,7 +3564,8 @@
    ],
    "source": [
     "key_example = jr.key(1234)\n",
-    "example_scene = random_scene(key=key_example)\n",
+    "sample_in_canyon = False\n",
+    "example_scene = random_scene(sample_in_canyon=sample_in_canyon, key=key_example)\n",
     "example_fig = example_scene.plot(\n",
     "    showlegend=False,\n",
     "    tx_kwargs={\"labels\": [\"TX\"]},\n",
@@ -2069,19 +3628,25 @@
    "id": "16",
    "metadata": {},
    "source": [
-    "After, we can trace ray paths in the generated scene and plot them."
+    "Afterward, we can trace ray paths in the generated scene and plot them."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "id": "17",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b395c68d956444788bc80d3c8dadbc69",
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+       "                            \n",
+       "var gd = document.getElementById('3677a034-8659-46a3-aa29-ac55f71e4f7d');\n",
+       "var x = new MutationObserver(function (mutations, observer) {{\n",
+       "        var display = window.getComputedStyle(gd).display;\n",
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+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
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+       "\n",
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+       "var notebookContainer = gd.closest('#notebook-container');\n",
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+       "if (outputEl) {{\n",
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+       "\n",
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+      ]
      },
      "metadata": {},
      "output_type": "display_data"
@@ -3129,7 +5355,7 @@
     "            num_valid_paths += paths.num_valid_paths\n",
     "        paths.plot(showlegend=False)\n",
     "        print(\n",
-    "            f\"(order = {order}) Found {num_valid_paths:2d} valid paths our of {num_path_candidates:4d} path candidates.\"\n",
+    "            f\"(order = {order}) Found {num_valid_paths:2d} valid paths out of {num_path_candidates:4d} path candidates.\"\n",
     "        )\n",
     "\n",
     "fig"
@@ -3152,12 +5378,12 @@
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+       "model_id": "7f8b45ca5b67486589e0d6602e4ea867",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "Collecting statistics over many realisations:   0%|          | 0/1000 [00:00<?, ?it/s]"
+       "Collecting statistics over many realizations:   0%|          | 0/1000 [00:00<?, ?it/s]"
       ]
      },
      "metadata": {},
@@ -3169,20 +5395,20 @@
      "text": [
       "\tStatistics for order = 0:\n",
       "\t- an average of 1 path candidates exist;\n",
-      "\t- out of which 100.00000000% of the paths are valid\n",
-      "\t- and 100.00000000%% of the scenes contained at least one valid path.\n",
+      "\t- out of which 35.00000238% of the paths are valid\n",
+      "\t- and 35.00000238%% of the scenes contained at least one valid path.\n",
       "\tStatistics for order = 1:\n",
       "\t- an average of 56 path candidates exist;\n",
-      "\t- out of which 4.87072431% of the paths are valid\n",
-      "\t- and 100.00000000%% of the scenes contained at least one valid path.\n",
+      "\t- out of which 1.58631522% of the paths are valid\n",
+      "\t- and 38.00000250%% of the scenes contained at least one valid path.\n",
       "\tStatistics for order = 2:\n",
       "\t- an average of 3368 path candidates exist;\n",
-      "\t- out of which 0.08461884% of the paths are valid\n",
-      "\t- and 91.50000215%% of the scenes contained at least one valid path.\n",
+      "\t- out of which 0.01942481% of the paths are valid\n",
+      "\t- and 23.70000184%% of the scenes contained at least one valid path.\n",
       "\tStatistics for order = 3:\n",
       "\t- an average of 211941 path candidates exist;\n",
-      "\t- out of which 0.00109444% of the paths are valid\n",
-      "\t- and 57.90000558%% of the scenes contained at least one valid path.\n"
+      "\t- out of which 0.00030500% of the paths are valid\n",
+      "\t- and 10.90000048%% of the scenes contained at least one valid path.\n"
      ]
     },
     {
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          "name": "order = 0",
          "type": "histogram",
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+              "size": 10,
+              "solidity": 0.2
+             }
+            },
+            "type": "histogram"
+           }
+          ],
+          "histogram2d": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "colorscale": [
+             [
+              0,
+              "#0d0887"
+             ],
+             [
+              0.1111111111111111,
+              "#46039f"
+             ],
+             [
+              0.2222222222222222,
+              "#7201a8"
+             ],
+             [
+              0.3333333333333333,
+              "#9c179e"
+             ],
+             [
+              0.4444444444444444,
+              "#bd3786"
+             ],
+             [
+              0.5555555555555556,
+              "#d8576b"
+             ],
+             [
+              0.6666666666666666,
+              "#ed7953"
+             ],
+             [
+              0.7777777777777778,
+              "#fb9f3a"
+             ],
+             [
+              0.8888888888888888,
+              "#fdca26"
+             ],
+             [
+              1,
+              "#f0f921"
+             ]
+            ],
+            "type": "histogram2d"
+           }
+          ],
+          "histogram2dcontour": [
            {
             "colorbar": {
              "outlinewidth": 0,
@@ -3621,17 +9890,6 @@
             "type": "scattergl"
            }
           ],
-          "scattermap": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scattermap"
-           }
-          ],
           "scattermapbox": [
            {
             "marker": {
@@ -4032,7 +10290,35 @@
          }
         }
        }
-      }
+      },
+      "image/png": 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",
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+       "                            \n",
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+       "// Listen for the removal of the full notebook cells\n",
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@@ -4041,10 +10327,10 @@
    "source": [
     "key_stats = jr.key(1234)\n",
     "\n",
-    "scenes = train_dataloader(key=key_stats)\n",
+    "scenes = train_dataloader(sample_in_canyon=sample_in_canyon, key=key_stats)\n",
     "\n",
     "num_valid_paths = defaultdict(list)  # Number of valid paths\n",
-    "num_total_paths = defaultdict(list)  # Total number of path (candidates)\n",
+    "num_total_paths = defaultdict(list)  # Total number of paths (candidates)\n",
     "\n",
     "colors = {0: \"black\", 1: \"blue\", 2: \"red\", 3: \"green\"}\n",
     "\n",
@@ -4148,10 +10434,10 @@
    "source": [
     "## Machine Learning model\n",
     "\n",
-    "Our model is made of four modules: an outer flow model, that returns the flows between a parent state and its child states,\n",
+    "Our model is made of four modules: an outer flow model that returns the flows between a parent state and its child states,\n",
     "and three inner models, each encoding different aspects of the scene.\n",
     "\n",
-    "Model's internals are detailed in the paper and will not be discussed here.\n",
+    "The model's internals are detailed in the paper and will not be discussed here.\n",
     "\n",
     "Below, we instantiate the model with default parameters."
    ]
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       "text/plain": [
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@@ -4177,7 +10463,7 @@
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</script> <treescope-run-here><script type=\"application/octet-stream\"> const root = ( Array.from(document.getElementsByClassName( \"treescope_out_6b87456f40ef43f3902a17c1e4f56a32\")) .filter((elt) => !elt.dataset['step1']) )[0]; root.dataset['step1'] = 1; root.defns.insertContent( this.parentNode.querySelector('script[type=\"application/octet-stream\"]'), true ); this.parentNode.remove(); </script></treescope-run-here> </div>"
+       "<div style=\"display:none\"> <script type=\"application/octet-stream\" 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</script> <treescope-run-here><script type=\"application/octet-stream\"> const root = ( Array.from(document.getElementsByClassName( \"treescope_out_5b8fce7bc4434d408938bcf7e0e0eced\")) .filter((elt) => !elt.dataset['step1']) )[0]; root.dataset['step1'] = 1; root.defns.insertContent( this.parentNode.querySelector('script[type=\"application/octet-stream\"]'), true ); this.parentNode.remove(); </script></treescope-run-here> </div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -4189,92 +10475,92 @@
     {
      "data": {
       "text/html": [
-       "<treescope-run-here><script type=\"application/octet-stream\"> const root = ( Array.from(document.getElementsByClassName( \"treescope_out_6b87456f40ef43f3902a17c1e4f56a32\")) .filter((elt) => !elt.dataset.stolen) )[0]; root.dataset.stolen = 1; const temp = document.createElement(\"div\"); temp.style = \"height: 1px; width: 1px;\"; root.parentNode.insertBefore(temp, root); this.parentNode.replaceChild(root, this); temp.remove(); root.style.paddingTop = \"1px\"; </script></treescope-run-here>"
+       "<treescope-run-here><script type=\"application/octet-stream\"> const root = ( Array.from(document.getElementsByClassName( \"treescope_out_5b8fce7bc4434d408938bcf7e0e0eced\")) .filter((elt) => !elt.dataset.stolen) )[0]; root.dataset.stolen = 1; const temp = document.createElement(\"div\"); temp.style = \"height: 1px; width: 1px;\"; root.parentNode.insertBefore(temp, root); this.parentNode.replaceChild(root, this); temp.remove(); root.style.paddingTop = \"1px\"; </script></treescope-run-here>"
       ],
       "text/plain": [
        "Model(\n",
        "  order=2,\n",
-       "  action_masking=False,\n",
-       "  distance_based_weighting=False,\n",
+       "  action_masking=True,\n",
+       "  distance_based_weighting=True,\n",
        "  objects_encoder=ObjectsEncoder(\n",
-       "    out_size=64,\n",
+       "    out_size=128,\n",
        "    mlp=MLP(\n",
        "      layers=(\n",
        "        Linear(\n",
-       "          weight=f32[128,9],\n",
-       "          bias=f32[128],\n",
+       "          weight=f32[256,9],\n",
+       "          bias=f32[256],\n",
        "          in_features=9,\n",
-       "          out_features=128,\n",
+       "          out_features=256,\n",
        "          use_bias=True\n",
        "        ),\n",
        "        Linear(\n",
-       "          weight=f32[128,128],\n",
-       "          bias=f32[128],\n",
-       "          in_features=128,\n",
-       "          out_features=128,\n",
+       "          weight=f32[256,256],\n",
+       "          bias=f32[256],\n",
+       "          in_features=256,\n",
+       "          out_features=256,\n",
        "          use_bias=True\n",
        "        ),\n",
        "        Linear(\n",
-       "          weight=f32[64,128],\n",
-       "          bias=f32[64],\n",
-       "          in_features=128,\n",
-       "          out_features=64,\n",
+       "          weight=f32[128,256],\n",
+       "          bias=f32[128],\n",
+       "          in_features=256,\n",
+       "          out_features=128,\n",
        "          use_bias=True\n",
        "        )\n",
        "      ),\n",
-       "      activation=<PjitFunction of <function relu at 0x77374a89fce0>>,\n",
+       "      activation=<PjitFunction of <function relu at 0x7fb31146e480>>,\n",
        "      final_activation=<function <lambda>>,\n",
        "      use_bias=True,\n",
        "      use_final_bias=True,\n",
        "      in_size=9,\n",
-       "      out_size=64,\n",
-       "      width_size=128,\n",
+       "      out_size=128,\n",
+       "      width_size=256,\n",
        "      depth=2\n",
        "    )\n",
        "  ),\n",
        "  scene_encoder=SceneEncoder(\n",
-       "    out_size=64,\n",
+       "    out_size=128,\n",
        "    rho=MLP(\n",
        "      layers=(\n",
        "        Linear(\n",
-       "          weight=f32[128,64],\n",
-       "          bias=f32[128],\n",
-       "          in_features=64,\n",
-       "          out_features=128,\n",
+       "          weight=f32[256,128],\n",
+       "          bias=f32[256],\n",
+       "          in_features=128,\n",
+       "          out_features=256,\n",
        "          use_bias=True\n",
        "        ),\n",
        "        Linear(\n",
-       "          weight=f32[128,128],\n",
-       "          bias=f32[128],\n",
-       "          in_features=128,\n",
-       "          out_features=128,\n",
+       "          weight=f32[256,256],\n",
+       "          bias=f32[256],\n",
+       "          in_features=256,\n",
+       "          out_features=256,\n",
        "          use_bias=True\n",
        "        ),\n",
        "        Linear(\n",
-       "          weight=f32[64,128],\n",
-       "          bias=f32[64],\n",
-       "          in_features=128,\n",
-       "          out_features=64,\n",
+       "          weight=f32[128,256],\n",
+       "          bias=f32[128],\n",
+       "          in_features=256,\n",
+       "          out_features=128,\n",
        "          use_bias=True\n",
        "        )\n",
        "      ),\n",
-       "      activation=<PjitFunction of <function relu at 0x77374a89fce0>>,\n",
+       "      activation=<PjitFunction of <function relu at 0x7fb31146e480>>,\n",
        "      final_activation=<function <lambda>>,\n",
        "      use_bias=True,\n",
        "      use_final_bias=True,\n",
-       "      in_size=64,\n",
-       "      out_size=64,\n",
-       "      width_size=128,\n",
+       "      in_size=128,\n",
+       "      out_size=128,\n",
+       "      width_size=256,\n",
        "      depth=2\n",
        "    )\n",
        "  ),\n",
        "  state_encoder=StateEncoder(\n",
-       "    out_size=128,\n",
+       "    out_size=256,\n",
        "    linear=Linear(\n",
-       "      weight=f32[128,128],\n",
-       "      bias=f32[128],\n",
-       "      in_features=128,\n",
-       "      out_features=128,\n",
+       "      weight=f32[256,256],\n",
+       "      bias=f32[256],\n",
+       "      in_features=256,\n",
+       "      out_features=256,\n",
        "      use_bias=True\n",
        "    )\n",
        "  ),\n",
@@ -4282,34 +10568,34 @@
        "    mlp=MLP(\n",
        "      layers=(\n",
        "        Linear(\n",
-       "          weight=f32[128,256],\n",
-       "          bias=f32[128],\n",
-       "          in_features=256,\n",
-       "          out_features=128,\n",
+       "          weight=f32[256,512],\n",
+       "          bias=f32[256],\n",
+       "          in_features=512,\n",
+       "          out_features=256,\n",
        "          use_bias=True\n",
        "        ),\n",
        "        Linear(\n",
-       "          weight=f32[128,128],\n",
-       "          bias=f32[128],\n",
-       "          in_features=128,\n",
-       "          out_features=128,\n",
+       "          weight=f32[256,256],\n",
+       "          bias=f32[256],\n",
+       "          in_features=256,\n",
+       "          out_features=256,\n",
        "          use_bias=True\n",
        "        ),\n",
        "        Linear(\n",
-       "          weight=f32[1,128],\n",
+       "          weight=f32[1,256],\n",
        "          bias=f32[1],\n",
-       "          in_features=128,\n",
+       "          in_features=256,\n",
        "          out_features='scalar',\n",
        "          use_bias=True\n",
        "        )\n",
        "      ),\n",
-       "      activation=<PjitFunction of <function leaky_relu at 0x77374a8c1300>>,\n",
-       "      final_activation=<PjitFunction of <function exp at 0x77374abdb600>>,\n",
+       "      activation=<PjitFunction of <function leaky_relu at 0x7fb31146fa60>>,\n",
+       "      final_activation=<PjitFunction of <function exp at 0x7fb3117b9760>>,\n",
        "      use_bias=True,\n",
        "      use_final_bias=True,\n",
-       "      in_size=256,\n",
+       "      in_size=512,\n",
        "      out_size='scalar',\n",
-       "      width_size=128,\n",
+       "      width_size=256,\n",
        "      depth=2\n",
        "    ),\n",
        "    dropout=Dropout(p=0.0, inference=False)\n",
@@ -4327,9 +10613,14 @@
    ],
    "source": [
     "order = 2  # Change this to try different path orders\n",
+    "num_embeddings = 128\n",
     "model_key = jr.key(1234)\n",
     "model = Model(\n",
-    "    order=order, num_embeddings=64, width_size=128, depth=2, key=model_key\n",
+    "    order=order,\n",
+    "    num_embeddings=num_embeddings,\n",
+    "    width_size=2 * num_embeddings,\n",
+    "    depth=2,\n",
+    "    key=model_key,\n",
     ")\n",
     "model"
    ]
@@ -4347,12 +10638,12 @@
     "as the agent does not add any new functionality to the model itself.\n",
     "\n",
     "Instead, it provides a convenient interface to train the model over multiple epochs,\n",
-    "track metrics, and alternative from the *standard* training step and the *replay buffer* training step, which are automatically handled by the agent's `train` method.\n",
+    "track metrics, and alternate between the *standard* training step and the *replay buffer* training step, which are automatically handled by the agent's `train` method.\n",
     "\n",
     "To optimize the model's parameters, we rely on the `optax` module that provides\n",
     "convenient optimizers, from which we use the popular {func}`optax.adam` optimizer.\n",
     "\n",
-    "Every few training steps, we will as the agent to evaluate the model's performance\n",
+    "Every few training steps, we will ask the agent to evaluate the model's performance\n",
     "to obtain the curves presented in the paper."
    ]
   },
@@ -4365,7 +10656,7 @@
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>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</script> <treescope-run-here><script type=\"application/octet-stream\"> const root = ( Array.from(document.getElementsByClassName( \"treescope_out_522f6238c1d84627af6f20a4d593d850\")) .filter((elt) => !elt.dataset['step0']) )[0]; root.dataset['step0'] = 1; root.defns.insertContent( this.parentNode.querySelector('script[type=\"application/octet-stream\"]'), true ); this.parentNode.remove(); </script></treescope-run-here> </div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -4377,7 +10668,7 @@
     {
      "data": {
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</script> <treescope-run-here><script type=\"application/octet-stream\"> const root = ( Array.from(document.getElementsByClassName( \"treescope_out_24ab8e784d414a8a9429995ddf6be222\")) .filter((elt) => !elt.dataset['step1']) )[0]; root.dataset['step1'] = 1; root.defns.insertContent( this.parentNode.querySelector('script[type=\"application/octet-stream\"]'), true ); this.parentNode.remove(); </script></treescope-run-here> </div>"
+       "<div style=\"display:none\"> <script type=\"application/octet-stream\" 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</script> <treescope-run-here><script type=\"application/octet-stream\"> const root = ( Array.from(document.getElementsByClassName( \"treescope_out_522f6238c1d84627af6f20a4d593d850\")) .filter((elt) => !elt.dataset['step1']) )[0]; root.dataset['step1'] = 1; root.defns.insertContent( this.parentNode.querySelector('script[type=\"application/octet-stream\"]'), true ); this.parentNode.remove(); </script></treescope-run-here> </div>"
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       "text/plain": [
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@@ -4389,101 +10680,104 @@
     {
      "data": {
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-       "<treescope-run-here><script type=\"application/octet-stream\"> const root = ( Array.from(document.getElementsByClassName( \"treescope_out_24ab8e784d414a8a9429995ddf6be222\")) .filter((elt) => !elt.dataset.stolen) )[0]; root.dataset.stolen = 1; const temp = document.createElement(\"div\"); temp.style = \"height: 1px; width: 1px;\"; root.parentNode.insertBefore(temp, root); this.parentNode.replaceChild(root, this); temp.remove(); root.style.paddingTop = \"1px\"; </script></treescope-run-here>"
+       "<treescope-run-here><script type=\"application/octet-stream\"> const root = ( Array.from(document.getElementsByClassName( \"treescope_out_522f6238c1d84627af6f20a4d593d850\")) .filter((elt) => !elt.dataset.stolen) )[0]; root.dataset.stolen = 1; const temp = document.createElement(\"div\"); temp.style = \"height: 1px; width: 1px;\"; root.parentNode.insertBefore(temp, root); this.parentNode.replaceChild(root, this); temp.remove(); root.style.paddingTop = \"1px\"; </script></treescope-run-here>"
       ],
       "text/plain": [
        "Agent(\n",
        "  batch_size=64,\n",
        "  replay_symmetric=False,\n",
-       "  scene_fn=_JitWrapper(\n",
-       "    fn='random_scene',\n",
-       "    filter_warning=False,\n",
-       "    donate_first=False,\n",
-       "    donate_rest=False\n",
+       "  scene_fn=partial(\n",
+       "    _JitWrapper(\n",
+       "      fn='random_scene',\n",
+       "      filter_warning=False,\n",
+       "      donate_first=False,\n",
+       "      donate_rest=False\n",
+       "    ),\n",
+       "    sample_in_canyon=False\n",
        "  ),\n",
        "  model=Model(\n",
        "    order=2,\n",
-       "    action_masking=False,\n",
-       "    distance_based_weighting=False,\n",
+       "    action_masking=True,\n",
+       "    distance_based_weighting=True,\n",
        "    objects_encoder=ObjectsEncoder(\n",
-       "      out_size=64,\n",
+       "      out_size=128,\n",
        "      mlp=MLP(\n",
        "        layers=(\n",
        "          Linear(\n",
-       "            weight=f32[128,9],\n",
-       "            bias=f32[128],\n",
+       "            weight=f32[256,9],\n",
+       "            bias=f32[256],\n",
        "            in_features=9,\n",
-       "            out_features=128,\n",
+       "            out_features=256,\n",
        "            use_bias=True\n",
        "          ),\n",
        "          Linear(\n",
-       "            weight=f32[128,128],\n",
-       "            bias=f32[128],\n",
-       "            in_features=128,\n",
-       "            out_features=128,\n",
+       "            weight=f32[256,256],\n",
+       "            bias=f32[256],\n",
+       "            in_features=256,\n",
+       "            out_features=256,\n",
        "            use_bias=True\n",
        "          ),\n",
        "          Linear(\n",
-       "            weight=f32[64,128],\n",
-       "            bias=f32[64],\n",
-       "            in_features=128,\n",
-       "            out_features=64,\n",
+       "            weight=f32[128,256],\n",
+       "            bias=f32[128],\n",
+       "            in_features=256,\n",
+       "            out_features=128,\n",
        "            use_bias=True\n",
        "          )\n",
        "        ),\n",
-       "        activation=<PjitFunction of <function relu at 0x77374a89fce0>>,\n",
+       "        activation=<PjitFunction of <function relu at 0x7fb31146e480>>,\n",
        "        final_activation=<function <lambda>>,\n",
        "        use_bias=True,\n",
        "        use_final_bias=True,\n",
        "        in_size=9,\n",
-       "        out_size=64,\n",
-       "        width_size=128,\n",
+       "        out_size=128,\n",
+       "        width_size=256,\n",
        "        depth=2\n",
        "      )\n",
        "    ),\n",
        "    scene_encoder=SceneEncoder(\n",
-       "      out_size=64,\n",
+       "      out_size=128,\n",
        "      rho=MLP(\n",
        "        layers=(\n",
        "          Linear(\n",
-       "            weight=f32[128,64],\n",
-       "            bias=f32[128],\n",
-       "            in_features=64,\n",
-       "            out_features=128,\n",
+       "            weight=f32[256,128],\n",
+       "            bias=f32[256],\n",
+       "            in_features=128,\n",
+       "            out_features=256,\n",
        "            use_bias=True\n",
        "          ),\n",
        "          Linear(\n",
-       "            weight=f32[128,128],\n",
-       "            bias=f32[128],\n",
-       "            in_features=128,\n",
-       "            out_features=128,\n",
+       "            weight=f32[256,256],\n",
+       "            bias=f32[256],\n",
+       "            in_features=256,\n",
+       "            out_features=256,\n",
        "            use_bias=True\n",
        "          ),\n",
        "          Linear(\n",
-       "            weight=f32[64,128],\n",
-       "            bias=f32[64],\n",
-       "            in_features=128,\n",
-       "            out_features=64,\n",
+       "            weight=f32[128,256],\n",
+       "            bias=f32[128],\n",
+       "            in_features=256,\n",
+       "            out_features=128,\n",
        "            use_bias=True\n",
        "          )\n",
        "        ),\n",
-       "        activation=<PjitFunction of <function relu at 0x77374a89fce0>>,\n",
+       "        activation=<PjitFunction of <function relu at 0x7fb31146e480>>,\n",
        "        final_activation=<function <lambda>>,\n",
        "        use_bias=True,\n",
        "        use_final_bias=True,\n",
-       "        in_size=64,\n",
-       "        out_size=64,\n",
-       "        width_size=128,\n",
+       "        in_size=128,\n",
+       "        out_size=128,\n",
+       "        width_size=256,\n",
        "        depth=2\n",
        "      )\n",
        "    ),\n",
        "    state_encoder=StateEncoder(\n",
-       "      out_size=128,\n",
+       "      out_size=256,\n",
        "      linear=Linear(\n",
-       "        weight=f32[128,128],\n",
-       "        bias=f32[128],\n",
-       "        in_features=128,\n",
-       "        out_features=128,\n",
+       "        weight=f32[256,256],\n",
+       "        bias=f32[256],\n",
+       "        in_features=256,\n",
+       "        out_features=256,\n",
        "        use_bias=True\n",
        "      )\n",
        "    ),\n",
@@ -4491,34 +10785,34 @@
        "      mlp=MLP(\n",
        "        layers=(\n",
        "          Linear(\n",
-       "            weight=f32[128,256],\n",
-       "            bias=f32[128],\n",
-       "            in_features=256,\n",
-       "            out_features=128,\n",
+       "            weight=f32[256,512],\n",
+       "            bias=f32[256],\n",
+       "            in_features=512,\n",
+       "            out_features=256,\n",
        "            use_bias=True\n",
        "          ),\n",
        "          Linear(\n",
-       "            weight=f32[128,128],\n",
-       "            bias=f32[128],\n",
-       "            in_features=128,\n",
-       "            out_features=128,\n",
+       "            weight=f32[256,256],\n",
+       "            bias=f32[256],\n",
+       "            in_features=256,\n",
+       "            out_features=256,\n",
        "            use_bias=True\n",
        "          ),\n",
        "          Linear(\n",
-       "            weight=f32[1,128],\n",
+       "            weight=f32[1,256],\n",
        "            bias=f32[1],\n",
-       "            in_features=128,\n",
+       "            in_features=256,\n",
        "            out_features='scalar',\n",
        "            use_bias=True\n",
        "          )\n",
        "        ),\n",
-       "        activation=<PjitFunction of <function leaky_relu at 0x77374a8c1300>>,\n",
-       "        final_activation=<PjitFunction of <function exp at 0x77374abdb600>>,\n",
+       "        activation=<PjitFunction of <function leaky_relu at 0x7fb31146fa60>>,\n",
+       "        final_activation=<PjitFunction of <function exp at 0x7fb3117b9760>>,\n",
        "        use_bias=True,\n",
        "        use_final_bias=True,\n",
-       "        in_size=256,\n",
+       "        in_size=512,\n",
        "        out_size='scalar',\n",
-       "        width_size=128,\n",
+       "        width_size=256,\n",
        "        depth=2\n",
        "      ),\n",
        "      dropout=Dropout(p=0.0, inference=False)\n",
@@ -4537,31 +10831,31 @@
        "        count=i32[],\n",
        "        mu=Model(\n",
        "          order=2,\n",
-       "          action_masking=False,\n",
-       "          distance_based_weighting=False,\n",
+       "          action_masking=True,\n",
+       "          distance_based_weighting=True,\n",
        "          objects_encoder=ObjectsEncoder(\n",
-       "            out_size=64,\n",
+       "            out_size=128,\n",
        "            mlp=MLP(\n",
        "              layers=(\n",
        "                Linear(\n",
-       "                  weight=f32[128,9],\n",
-       "                  bias=f32[128],\n",
+       "                  weight=f32[256,9],\n",
+       "                  bias=f32[256],\n",
        "                  in_features=9,\n",
-       "                  out_features=128,\n",
+       "                  out_features=256,\n",
        "                  use_bias=True\n",
        "                ),\n",
        "                Linear(\n",
-       "                  weight=f32[128,128],\n",
-       "                  bias=f32[128],\n",
-       "                  in_features=128,\n",
-       "                  out_features=128,\n",
+       "                  weight=f32[256,256],\n",
+       "                  bias=f32[256],\n",
+       "                  in_features=256,\n",
+       "                  out_features=256,\n",
        "                  use_bias=True\n",
        "                ),\n",
        "                Linear(\n",
-       "                  weight=f32[64,128],\n",
-       "                  bias=f32[64],\n",
-       "                  in_features=128,\n",
-       "                  out_features=64,\n",
+       "                  weight=f32[128,256],\n",
+       "                  bias=f32[128],\n",
+       "                  in_features=256,\n",
+       "                  out_features=128,\n",
        "                  use_bias=True\n",
        "                )\n",
        "              ),\n",
@@ -4570,34 +10864,34 @@
        "              use_bias=True,\n",
        "              use_final_bias=True,\n",
        "              in_size=9,\n",
-       "              out_size=64,\n",
-       "              width_size=128,\n",
+       "              out_size=128,\n",
+       "              width_size=256,\n",
        "              depth=2\n",
        "            )\n",
        "          ),\n",
        "          scene_encoder=SceneEncoder(\n",
-       "            out_size=64,\n",
+       "            out_size=128,\n",
        "            rho=MLP(\n",
        "              layers=(\n",
        "                Linear(\n",
-       "                  weight=f32[128,64],\n",
-       "                  bias=f32[128],\n",
-       "                  in_features=64,\n",
-       "                  out_features=128,\n",
+       "                  weight=f32[256,128],\n",
+       "                  bias=f32[256],\n",
+       "                  in_features=128,\n",
+       "                  out_features=256,\n",
        "                  use_bias=True\n",
        "                ),\n",
        "                Linear(\n",
-       "                  weight=f32[128,128],\n",
-       "                  bias=f32[128],\n",
-       "                  in_features=128,\n",
-       "                  out_features=128,\n",
+       "                  weight=f32[256,256],\n",
+       "                  bias=f32[256],\n",
+       "                  in_features=256,\n",
+       "                  out_features=256,\n",
        "                  use_bias=True\n",
        "                ),\n",
        "                Linear(\n",
-       "                  weight=f32[64,128],\n",
-       "                  bias=f32[64],\n",
-       "                  in_features=128,\n",
-       "                  out_features=64,\n",
+       "                  weight=f32[128,256],\n",
+       "                  bias=f32[128],\n",
+       "                  in_features=256,\n",
+       "                  out_features=128,\n",
        "                  use_bias=True\n",
        "                )\n",
        "              ),\n",
@@ -4605,19 +10899,19 @@
        "              final_activation=None,\n",
        "              use_bias=True,\n",
        "              use_final_bias=True,\n",
-       "              in_size=64,\n",
-       "              out_size=64,\n",
-       "              width_size=128,\n",
+       "              in_size=128,\n",
+       "              out_size=128,\n",
+       "              width_size=256,\n",
        "              depth=2\n",
        "            )\n",
        "          ),\n",
        "          state_encoder=StateEncoder(\n",
-       "            out_size=128,\n",
+       "            out_size=256,\n",
        "            linear=Linear(\n",
-       "              weight=f32[128,128],\n",
-       "              bias=f32[128],\n",
-       "              in_features=128,\n",
-       "              out_features=128,\n",
+       "              weight=f32[256,256],\n",
+       "              bias=f32[256],\n",
+       "              in_features=256,\n",
+       "              out_features=256,\n",
        "              use_bias=True\n",
        "            )\n",
        "          ),\n",
@@ -4625,23 +10919,23 @@
        "            mlp=MLP(\n",
        "              layers=(\n",
        "                Linear(\n",
-       "                  weight=f32[128,256],\n",
-       "                  bias=f32[128],\n",
-       "                  in_features=256,\n",
-       "                  out_features=128,\n",
+       "                  weight=f32[256,512],\n",
+       "                  bias=f32[256],\n",
+       "                  in_features=512,\n",
+       "                  out_features=256,\n",
        "                  use_bias=True\n",
        "                ),\n",
        "                Linear(\n",
-       "                  weight=f32[128,128],\n",
-       "                  bias=f32[128],\n",
-       "                  in_features=128,\n",
-       "                  out_features=128,\n",
+       "                  weight=f32[256,256],\n",
+       "                  bias=f32[256],\n",
+       "                  in_features=256,\n",
+       "                  out_features=256,\n",
        "                  use_bias=True\n",
        "                ),\n",
        "                Linear(\n",
-       "                  weight=f32[1,128],\n",
+       "                  weight=f32[1,256],\n",
        "                  bias=f32[1],\n",
-       "                  in_features=128,\n",
+       "                  in_features=256,\n",
        "                  out_features='scalar',\n",
        "                  use_bias=True\n",
        "                )\n",
@@ -4650,9 +10944,9 @@
        "              final_activation=None,\n",
        "              use_bias=True,\n",
        "              use_final_bias=True,\n",
-       "              in_size=256,\n",
+       "              in_size=512,\n",
        "              out_size='scalar',\n",
-       "              width_size=128,\n",
+       "              width_size=256,\n",
        "              depth=2\n",
        "            ),\n",
        "            dropout=Dropout(p=None, inference=None)\n",
@@ -4663,31 +10957,31 @@
        "        ),\n",
        "        nu=Model(\n",
        "          order=2,\n",
-       "          action_masking=False,\n",
-       "          distance_based_weighting=False,\n",
+       "          action_masking=True,\n",
+       "          distance_based_weighting=True,\n",
        "          objects_encoder=ObjectsEncoder(\n",
-       "            out_size=64,\n",
+       "            out_size=128,\n",
        "            mlp=MLP(\n",
        "              layers=(\n",
        "                Linear(\n",
-       "                  weight=f32[128,9],\n",
-       "                  bias=f32[128],\n",
+       "                  weight=f32[256,9],\n",
+       "                  bias=f32[256],\n",
        "                  in_features=9,\n",
-       "                  out_features=128,\n",
+       "                  out_features=256,\n",
        "                  use_bias=True\n",
        "                ),\n",
        "                Linear(\n",
-       "                  weight=f32[128,128],\n",
-       "                  bias=f32[128],\n",
-       "                  in_features=128,\n",
-       "                  out_features=128,\n",
+       "                  weight=f32[256,256],\n",
+       "                  bias=f32[256],\n",
+       "                  in_features=256,\n",
+       "                  out_features=256,\n",
        "                  use_bias=True\n",
        "                ),\n",
        "                Linear(\n",
-       "                  weight=f32[64,128],\n",
-       "                  bias=f32[64],\n",
-       "                  in_features=128,\n",
-       "                  out_features=64,\n",
+       "                  weight=f32[128,256],\n",
+       "                  bias=f32[128],\n",
+       "                  in_features=256,\n",
+       "                  out_features=128,\n",
        "                  use_bias=True\n",
        "                )\n",
        "              ),\n",
@@ -4696,34 +10990,34 @@
        "              use_bias=True,\n",
        "              use_final_bias=True,\n",
        "              in_size=9,\n",
-       "              out_size=64,\n",
-       "              width_size=128,\n",
+       "              out_size=128,\n",
+       "              width_size=256,\n",
        "              depth=2\n",
        "            )\n",
        "          ),\n",
        "          scene_encoder=SceneEncoder(\n",
-       "            out_size=64,\n",
+       "            out_size=128,\n",
        "            rho=MLP(\n",
        "              layers=(\n",
        "                Linear(\n",
-       "                  weight=f32[128,64],\n",
-       "                  bias=f32[128],\n",
-       "                  in_features=64,\n",
-       "                  out_features=128,\n",
+       "                  weight=f32[256,128],\n",
+       "                  bias=f32[256],\n",
+       "                  in_features=128,\n",
+       "                  out_features=256,\n",
        "                  use_bias=True\n",
        "                ),\n",
        "                Linear(\n",
-       "                  weight=f32[128,128],\n",
-       "                  bias=f32[128],\n",
-       "                  in_features=128,\n",
-       "                  out_features=128,\n",
+       "                  weight=f32[256,256],\n",
+       "                  bias=f32[256],\n",
+       "                  in_features=256,\n",
+       "                  out_features=256,\n",
        "                  use_bias=True\n",
        "                ),\n",
        "                Linear(\n",
-       "                  weight=f32[64,128],\n",
-       "                  bias=f32[64],\n",
-       "                  in_features=128,\n",
-       "                  out_features=64,\n",
+       "                  weight=f32[128,256],\n",
+       "                  bias=f32[128],\n",
+       "                  in_features=256,\n",
+       "                  out_features=128,\n",
        "                  use_bias=True\n",
        "                )\n",
        "              ),\n",
@@ -4731,19 +11025,19 @@
        "              final_activation=None,\n",
        "              use_bias=True,\n",
        "              use_final_bias=True,\n",
-       "              in_size=64,\n",
-       "              out_size=64,\n",
-       "              width_size=128,\n",
+       "              in_size=128,\n",
+       "              out_size=128,\n",
+       "              width_size=256,\n",
        "              depth=2\n",
        "            )\n",
        "          ),\n",
        "          state_encoder=StateEncoder(\n",
-       "            out_size=128,\n",
+       "            out_size=256,\n",
        "            linear=Linear(\n",
-       "              weight=f32[128,128],\n",
-       "              bias=f32[128],\n",
-       "              in_features=128,\n",
-       "              out_features=128,\n",
+       "              weight=f32[256,256],\n",
+       "              bias=f32[256],\n",
+       "              in_features=256,\n",
+       "              out_features=256,\n",
        "              use_bias=True\n",
        "            )\n",
        "          ),\n",
@@ -4751,23 +11045,23 @@
        "            mlp=MLP(\n",
        "              layers=(\n",
        "                Linear(\n",
-       "                  weight=f32[128,256],\n",
-       "                  bias=f32[128],\n",
-       "                  in_features=256,\n",
-       "                  out_features=128,\n",
+       "                  weight=f32[256,512],\n",
+       "                  bias=f32[256],\n",
+       "                  in_features=512,\n",
+       "                  out_features=256,\n",
        "                  use_bias=True\n",
        "                ),\n",
        "                Linear(\n",
-       "                  weight=f32[128,128],\n",
-       "                  bias=f32[128],\n",
-       "                  in_features=128,\n",
-       "                  out_features=128,\n",
+       "                  weight=f32[256,256],\n",
+       "                  bias=f32[256],\n",
+       "                  in_features=256,\n",
+       "                  out_features=256,\n",
        "                  use_bias=True\n",
        "                ),\n",
        "                Linear(\n",
-       "                  weight=f32[1,128],\n",
+       "                  weight=f32[1,256],\n",
        "                  bias=f32[1],\n",
-       "                  in_features=128,\n",
+       "                  in_features=256,\n",
        "                  out_features='scalar',\n",
        "                  use_bias=True\n",
        "                )\n",
@@ -4776,9 +11070,9 @@
        "              final_activation=None,\n",
        "              use_bias=True,\n",
        "              use_final_bias=True,\n",
-       "              in_size=256,\n",
+       "              in_size=512,\n",
        "              out_size='scalar',\n",
-       "              width_size=128,\n",
+       "              width_size=256,\n",
        "              depth=2\n",
        "            ),\n",
        "            dropout=Dropout(p=None, inference=None)\n",
@@ -4813,8 +11107,7 @@
    "source": [
     "agent = Agent(\n",
     "    model=model,\n",
-    "    batch_size=64,\n",
-    "    min_epsilon=0.1,\n",
+    "    scene_fn=partial(random_scene, sample_in_canyon=sample_in_canyon),\n",
     ")\n",
     "agent"
    ]
@@ -4828,7 +11121,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "e309ee283bbd44dba02db11f689073b5",
+       "model_id": "f04ebb6ce467469eb7c54aec1404cf6a",
        "version_major": 2,
        "version_minor": 0
       },
@@ -4842,12 +11135,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "3f2c267090574610935d82581942624b",
+       "model_id": "ebb76fb22d51481f82d6cb98028272f6",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "  0%|          | 0/100000 [00:00<?, ?it/s]"
+       "  0%|          | 0/1000 [00:00<?, ?it/s]"
       ]
      },
      "metadata": {},
@@ -4856,7 +11149,7 @@
     {
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>eNrtfWmTGzeW7ff5FexyvFHp2WJhXyRL8UqyNrflTe622zMdHKxVlLiZZKlUnvB/f8gkayGLW5LJTDIJO8KWkglk4p6LC+AAee7Xg+FVyz2rD/vODUy35xr9bndY+99arztoDpvdzuNa37XUsPnJPan5bmf4yKt2s3X1uNbudrqDnjLh+uV5c+gepX95XOv1w5VWczB8lFb9aHjVC1c73U64rJX5eNbvXnTsI9NtdfuPR0Wf1MZ/061wQ6ivaYfnj2u+OQy3dYauM3xSazc7j8bXIQD/J9TV/fxo0Pyz2TkL5bp96/qPwqUntZ6yNlx81HJ++LiGzHnyNh336Nw1z87DFVinyfM6Q9UMjbupf/yHR5+ag6ZutprD0ER1Meze3Puo2Rn2m51B0ySPdaNfx+366+uTkR2/vrHjo/5FJzyzH64NTL/ZG9YSQzx9oHq9VtOoxLQnXTN0iZn6TrUfPDs+fvj0WbB8eN5gWLPOdwa1p7XheXNQP3PDnwMs33etO35YP+8OhvX099A0N6w1eq6TNPnUJLUmhf7r37N+eaM6tuXCz52LVuvJ6An18Jrvu91OuHp82e1/fFi7+w7dX8Ol5KeJy8OmSS72XN93+23VMa7e6V4eP0wdITzg+N4vtUejQl/XMHoY6mn62vHUW9dbrnM2PK89fVoDyS0LX73vhhf9TrB7zbUG7vbFzi86yZtNVz04b/ph8n7pDckf/gr/znnCcXC/ju1e1vvujws3GJ52mu0Urld91XbHI5s8TOp4cu9BvYvB+ciMT2a08foRT0fNWNDK1d8heYsRkMPu2Vlr1H0baRcL3tpL6kquuNbwq5r7FBx8jGTydunf6x/dVWL0o/5R8kLjm+umpQaD70IvHtd7fHRTZ6Md3PDo+uF/PQz2DO6f+vizr09mdQDb/FRLK3x6NBlnjmpDpUNL3eenR+AodN3+8P4t3U54xWCMTvhpUWeYbYHjpMx1249CZxzFuzTgNJTWffcp9Z80/nzBBFIAhFaNbzDddjsUvHOHSv9JGj91i3rc6Q6PH593P7n+wxn3T97euDx3nYb73AuQO5sWrftuyyodWtAJTXt8rgbHz1pKu9azyV8ao3aOHmfOnfno7MOHtf/7sDb/qcGCwS3tnTtA+Mf72zs6F23t+ndvkAJSdnvDIIl+Z3efgSGFNLkhmN/1+842eiF+u/PwshM1KZ78Ox4+Uvs/rjWHKoTBpPBE2+YMPMHYs0wQ7rbNQXjo1fUAM31j7VktNeHjx9qFkOTuvJVJ/3ky83mjseMRTAaP8aATnOLmWc1OOqLoVjcZreY+M3WF+0+2qv9x4NRZcPPO/dI5ucLNOyRFZxe6vn/iDdNB8HHtwX8jqs2DMl9vstDcl2QFvGSCY/Lgi/4gAbDXDVMB15/x3OYgv8emXSF90KM0eA3m+Xg+T71t3tB9Ht5/Sr05aPhmfzBsdDuNxP1ndK1FXamOaNKbZkJV2/j1R4hPv2LSqrbqn4XJ2+g10g7914ZPC/Gwd6UvhsMwa5oVgG5/nuW0R7WjqbuCIcPUefbN/+0gsUdTM+8H71TwiqZq1d5ftXW3Naj9cDFM2mtrL0Ylw/97V6FjPLp0+mOYRY8ibzsMjOfpfFl1hqF4Uw2cvZl7f+FA8u+T+24+Kp3OeUFduvZ0K0f9Y0YrZoe725L1SzVomDAOBMPelFd+ODF6XMfpRc+cKjP5yLumr31S/eNHj6waqkeqE4BNZ1UP715OHpJMFfuqc+3NabU1OKi5YLGwDnjUvRhma8rNGwRgms7+bfJN0kfW/tZs97r9oercq1v3ux/DbCG5chuMllv3TrE79ryG+a96MvEKL2YbJkzbbd91xq86uTAKdU7emNtk5abrjAfSia5qVMsch9VbWDrA3ud0tlkfDFVS/uZ9t/Ym4/Xk6E1sdxjanrzFXeP9caFanTAZb4T1rm9+DpVMdBORdpOw8lDJvOhS9Tuh4zWuA/s1Ft4rA/GMG3th6v6/N0vZ/njlmkSvsZHGlx6BehpWbxfWj9PVruo/Ousr2wywHdcgptadfVXrBpc+czUQXo+Z869GLh7m3EnASC/Vxma+9y73Ims+Ybt2L0Bft+evejo/Tubns2JsMuSFQDzzntHk7M5d4anzKhrVENBoqV6Ihcvnk9kHi/lPuH3R+sRiYM49ebzHrEdMmOL6hkaY8N8uImeZZf7t+fTKr2pTnFR9cgFaW/GFp618A0UjlGt0JhbL6xUrtL0rvv4EqIuBXOWpK5loFVuu8rBljcqDa0voj9rfTvt9dVX3/W772HbNRbIurydRfFD/pFoXLkSPh/VBt+2O09ieECfJ/+ujeVhCmqw4Ezt6ECLdwxuaanDu3DDhstxl7cX79++T1rxPriXMVPpjve/SpfT7q445/p//N579GXc9ymSfCd5de3cSbq41vnY5pkVJQnsM+uZx7aLfOk6mJY+T308uu96jJzpMfBj5ygL5+t3Z6fPT9J+3P52edtM/Pf/5Mvz3zavT05eni/553j49PfvY/bt9+/L5i8t/nZ7+8q8X356+e/v8xemrs89v33x3Phw8f9d0Z/jVN7+h796yf31637to/viO/gK//e3tz/989+nXd38Of7x69erFl7+effyl+fwbcN785qeLb1/a1x/AG33iP721vT/+zs7/+LXZ/OniXef1+Rv/j+HpP9jz7/vk9NXbzseXzPzj4qLz5c/0DzP4ePnJv2qd/PH57GVXnOlvL18L+Ob0pHP6M/2u3/8W/vzl2Z/gZwtOv/Xw7Hv+4vL1B3QGulcXP3PefgnZ5Zvf5A9nZz33y8cr4t7qP6nR/R9eD9Xp2U9vv7/8Rg2uBj9dvH37268vX12e/vhT7+2/7D9OTr4847/w3/AQ+L//+MfpJxrq/O70e3767vK0ffbnz++/vPj9vXv522fkmfnze/Lzmyt68fz0738+/9B71cPNNz+9eAl+v/iRvOcd//y7l29evWufNr8Un16i8w4851/qf17+9uHyTf/TN6//8aLzwb98eTb88gfze6vFqXzx7eVzcS7Ju3ev3+PXv5+etd/SD89/ksNfXrs38uXz529f42/OyM8n/zJX+vR1wPSffz85/em1OnXvXrRO3/z58oez34dn7PmPZz/88Pab5x+bP1H36vlvL56/Mk3QO+93e53gG73fX34D/4Qf3/sXfnh+9ffOG6teDd548H379cvv2XN7+sc//9lTw8H739vWqqZE/k9J/tH88Afrtfvsh+6/Xrxv9l+3P337Gr//9T1+9RKZ5z/5X7580+r2XpNXg0uqzv5govm7e/99q/dr5/mbt86+67uLX/94/aINf33V//j+/WeK2K+/Di5Pwxs9rKW89PD4QerWD5L5zv+E/9z0fmW7vTDZu+2SKZter9cX3PHVqM/+O9S1mJ88T+nddD4+WiqEuoN7dEzteDRjnyTfQxf8pZt033DbeEafXBuE8JBUkSxRknm9ulTNYa2jPjXP1LDbr4eae7qr+rZ+2W8O3S9hNX98W1do7LiuW4Y3zDKPj+6sXxJuNzzll2bbhYXO8TX5f69c37XDYuRe0b++qiEAQDqXDME3TCuP05X47OfeWaQc3b5cwkFcR7CEDj+qfVF7pZqtENiG3Vpy89/SyBZmj50wEQ/RuBls5pRN1lhf3rXdmKdewlAn67VrinqSzJue+R49+3o0rn/d7PQuxiPNUTqS6+7no5mVjAf98ONowA8vkRaefO7kSHv07OY9U9jTmxoXw2brzl+ToauhhuH+YLcwXoVWhgoXVzvx49Qq5ujZQLXDmJnM+tXwfFBXZ4nPX1c7+t9pcm3hI76qzX2RicH96NnNG5+MjXqnwIPrifuDycvJpUbrU2vy8tG91ezRot+PnunENRvJeu3pxH136fCjZ4yM3/Cr+225mYsdPZvf4OsJ6uTbPLhdpj+odTsvkt7z9EHG8JFubTx8ULvhEJ4e1W9bdVRLh/unR3dIhjBjuHNHQhBNUyHhjrTbJPCHP4/f+tmkB0z9b5GV04nMVWNw1W67ALmZZevx5sTRs1eqNXD7Ze/p9s2z+vR9Rdh+YFzHNXzn6Qq9ajJgbRLkZge3u/ttR7N+mrkvdrQQ4C+uveA/W8Mn/qJjht0wBa4nu4jJlLirPzgzrKlhDXzmXkNLOBWWgf88Gz6ZNub96LPImzLHmgWmuPfex41vm8Nf+2Ht4vrH/1GrBfz+84vPiD/phzcJ4T5FdXTlq5pvtsIC4JqqeZp2oK/CdKYT1gWjcWvqWt9dX/qPsORMo71rNEPfUp2rbmf0y8OFHjfX/x7c0DEPFjU4AWvc1DCvug/GnnT86841r8Nf/15ER08Wz62nRXbnXZyrpFaYmqu8S64VMVfZlpuljZrnY+mP6ztYcXOtlE5fNM1C+9X5R66WtmohNqNbiggBKj1A1GirwcdkIFg0y/qlf+H20dyTTVxs98l7iwDAhhVtcuCtkVBltjGi1aoKxbzGLgZlXqki4BlNBgcN1zHde7HoAAfLwYVOQRlMDZg/jOz0cmSmvR8561O4L4nWkzfvxch6MVzKYUAk9nJ4nUSjft3UTBjelCpkHt7qbSmw7AFz6P64aHa6n+udTr0RDDE9Ef/ux8oFk3poZjZnDAX2Iai01JXrD7Y9Rh7vBoL1UWszAzkutw94FrS9sSfBaXQ+aio+fZderGSIGjvqf4F/r+vjoeg+uPloQfF0BTdp2qdHNx8tOKcUpxhCTBlhCinMvBGcMee8FRhOPXXWxw4jVnNOUz+oz/X0pEltCWkabry+xbe6aojRMaLsq5p8OIuyXs0VZ7XXEMKdwhYjT7x12hHDEEbcc4ANdkdb3xiYRbfvllm3MV1eGLLKDAv1UcfZIDqMa8glSEzuBwUz176o/bM5CBG9+WdaY+28aUPHrzU7tdtjYslLrtU1ovnXWenophpkDrRQI0C5sMJ7S5zHCjCiiSdGQkWZoWUH2nzDLMChSRQrSzgjoYUCK2WNsg4D6xXiBxJmY5Ad99Gky2zSx5PyMcDuoekzB9dmp+GdGl703WARrSerQOpNGvpOyzfB6041hewtXAxXAiyEw+pBdrfxm2B2t54iQLsYuMb9Wcz8/blFYHy1T4BdN3wTsK7ryDkornu06GYoS+cxc0e86xNItOabrmUH9Xp9heHx/vzlYeV6cSnE0Op9NfKXkb8c/Bdc301hlflLroy0HABBrQvraSYp8ggJiqy0glFSOn8Z/pPv0pp6z7SBVnmLiAdCWuK5BJYbizUi+lAYzMWGPaDlNdyYRIORw9xz8xfDYUpkJISMOGkEAQIL7gQlRFBONWSCVYvD1B5hkPyrHSdKcEkVhdg6ATCBDJHIYR5WkN1o3Qgjh7m3pt8Wh1k9Sgzmw2LCyGIWCVkuLCaMLGZhgG3MYsLIYlatF5dCD0UWM7KYWdwUre+mqMosJsSUCg1kWNFpAqERAClMkbHcYWYgKnNhDZHYAovpUGihD+1kEBJmmdYUOCcgZoJJgP0BLK5XMOwBLbDRxjQaiizmnpu/GBZTYWExdhJJp4jkVktlmSPSec+BgaDsYJtvoFWKI0OQVUJowpySmnFJnKGh8YZofiCBNgbZcR/daN2IIou5t6aPLGYGqPJgMdHOspgV+SZ+0ta5sJgospiFAbYxi4kii1ktlyiFHCrTAXDNtVxSIBLZZQkRZFMZ+5TW/LR48dBNFEIX89LJyqrTufa+vmtdlCEM+mBGDpjpjYEHGQjdGbqbSUMbg76pm4vBsNtuBA9K8fzkBteXPnzqTSunYggJp1DOUk5dT//z9lkzJUBXNves9Dqhq39R+9n1wvzF2Vrvange1lGhRfebM6sNxff62z6Vvefflt1m8N/7wLpbJl4UD3yzo1qNeWH2fkdK1YMToiD5S0u1tVVJd7rr6xATqe523b2Hc9pI2UGdrmFrbM43YYBJsrEEPNKciQjUur52ct5tu5MPzvWHbdUZnPRdmjmx22+6wcm1UN+jVKjvpP7JdT6dtJr6ZBTKcB3Ck0GSb7unzEd1FkqMt1VPOp2TVHmrd7X9JdjeO9H6S6+8F1zLYBk568GBc9vs9SC6LV8EUM3OUhnGynyvPW5rdljGBYviAQ9EFzOx7HramHdLFgFKmkp7KSwVYtNvG5wdmNuyhchXu97wfBWF9j0n2tJ2ZgcjLbafBJuMDGuxOq1lgo3ioeCiNL6z5mGKyvOLleffJ1aqjO78BOaLPXLi1qg5X2oomcBixVn17DKFJNc770a9+QrrzU96VkA7iyOG26PWfJla8/fgWGmDd16pqDMfv3Da5dC0qpjYgoIV/rpJWSkZ9tI74wjGVEmNFCeSAqCZ16Z0jaYwX8v30L3VmiuLHMMOE8uVtsxyrazgUltrDkU6ZIlhq3bwfkHvXunjmuXl48H7PTR9QdpMBmlHqMeYQAIoE8ARTgRxFhCvccX05T0GADMigZaIYK6F0kwIRrzn2jBGozbTIQXX5fvky0rHwLpnZt/W10yVoO4mDb3yt0wrVhL1mLYK1+rfMa1aS/yKaWtgrXaQbpUaog5TFXpvCfRP1GCKDOXqLgrXddFKq8gD7JXnxnBpCBEMaGespxRxYAQJc4zqqchLSo2gFADJBFHKCuUM9EhYYYlGVkUV+YNaRMMNabKoIL/Ppi+GoWSYMMGpdFJA4hjVigNLGPJUAUaBr1gGTKKxQVpqKSSRYRyBWnpgsAfUOQJVZCgPKbhusEaMyvH7afaot7QyTJszlFExvkC4cmAoo1p8UWBtyFBGpfiK9d4S6J/IUEaGcnUXReu6aKUV4qUmJKwaOVJOEuisxITrsKKm0jiMmK6eQrzxmnLtIYQAEsaIFBRgziUAziDjbFSIP6hFNNqQJovq8Pts+mIYSmERQlwKDh0hXHAdYg4KQQh6RjXmqFrK8IhBJhU22jifbgGFuMoM8jjEXcEkjMrwhxRcN1gjRlX4/TR7ZChXhmlzhjKqwRcIVw4MZVSCLwqsDRnKqAJfKXcogfyJCvA74wBFywNE9feo/h7V38vp8atqWC8qGZXf98K8UfV9Iyizab4vLx8V3yut+H7fAdZdYkW19wKAWVXrfVnpHVF6rwydtJLS+9xiUec9ZzjW0aO8Wy5qvOcOyaoK74tKRn33vNBYQd19TqGo7b6voBemiRp13cuEuhAN7Qya7qHaqOm+VNM9sVJ1NN3vYr7EH+/eWhVN932dtN3FYtU59MwyRQSW0Yn3KOte/dP/Ey42amoWpxyVqPB5f2Y1hoR6xRgglkhtmTOGAiiZJIaI6imSQAeFQwA6RxRBEAsqIJfSOu2NQ9hGRZJKHkmd0a1XO20+v2A8iLoXxi7mTD/W3hMEgFc+BBbKVIgumEKLvJDGM1st1RGNMMbUGEAFJkxL5YkgQgqnONAEyKg6chABdIXNpHnFYvDceUPHc/vLgVn9wP6S0lFLZDsAZTiiv6x4PJufPzwrnhhZVDSext9jByiSjIl7S2UCXgiXn+E4aKt7OYh7SnP2lF4l1tl/+jcFebHjpbfsA8HbbvUOz10PIP9s6oD10LgV/DS5LeabLTPf7A0MK31INn13zC8btdF2MfSsmlhkRoEK740KZqmmmCGPCEHMSCWkkNhyJBHgApW+N0ohypfWJ9Q6pg33TFkCjFEASi8F8EAD7+Ch0PpLDFs1an9Gr15pt25+uUju74GpC8oXC4DWlilDCCWaQ6khgY5xziiCTJpq7YsK6Dl11lHqPWFEKgKsVQZaoohShsV90UMInssJ7XmlYuDccTNva080zDj2keGdZeCVt0SXFI47oluBZ/UN0WWl435o7uCsth26qGTMnrDPvbNA+iVmS4iM4HKXhFldstL5WzGBSGFrhFMgrOeEUg5waRjEHmEBTPW+lhBGWyAdRwxzQpUTHmkAAReGOql0/FriMBa1cE2aKuZr3SdTF/SlBHJUCS4kDUHUcKsMgN5SgxmFzmNdsS8ltBOOYOCwl8Rzqz2l1ktIqUTCcBwZwUMInmus6WI+1v0wc/xKYiks6zOCMd9qAfBswAjG/KrbBmdNRjDmU61I7yyQfomMYGQEl7skyuqSlc6XiqV0FgJsMTQECqKMhMYJy5D04Sdfaiq/LfCBSkikAFQKUEEQ80oRaih30DEaFvaHcEIQHjwbiNakqGJu1H0y9SZs4NSpYu205TTRDCEGAYUQZ4RCDIyVnppyY+SMjrzfc0a0Fg+Sc5bHSID01knruKTwLhAggxAUO2ehQ37xGfEnA6Naqj/6c1XQ2oAPidkctw3OmnxIzN5YCfgLXHrGbI2lA17Ux7UxO+NEdsaWUx+vGqXlaFw51eKPH5rDV9dZ2rq+NpG17bYRE1kJmVcszdiWW6LFu2+xUarFwjrXqgneZpXY2sp9nDuz1dT1RuKOk+DOyJZpGAPLOJhKLOvKgSuvxIpViIwX7d7VdXAMNexxVAxvdrcXcS35wYfDbFkv55fbldDIFecHEhrLhy6mAp0ybdb1eUz9uUUgVk35Oa/UjqT63PuPY1dK8Xnv9rJTe1aV6V0tO9H9+2Nmz9wgWDWj56wSMZPnptZfIYPn1M2HnblzPzvZ1vUkM3SnfrcXouhh65eOjTB1TvCb0dWqHBQcN3IV3xvfug+HA3uLhgJQB/sbJ66dspcBsXqvmHWBdwEZ4xau016p1mBvd7av7XnT1Cwg3BQ6bEH8fQW9kAgZMx6UAfFWBedXD6CuN2i2brZjJk5kemepYtBaiDkhgArjhUSYYQy5pJ6XeSJz389jjs2+2AnGN+3mOLpX5l5x7Mx9tFxk8r67VP3Qy/Z6K3Tipkaoed0cI20XCpnpDCM3NipjN3XGvuXNFunNi93uqQHnDDdkYk9tN7z/5mUXe//NbVvbo/wmQN9xNrFZ8jlcTSRbzyfn3bY7+eBcf9hWncFJ3/W6g+aw22+6wcm1lzxKveRk0Dcnk45zcu04vav15jM7Ph0sDrsyp4EQHOA8cCGihWzr9IbN9pZGn1p6m7Or0W6Lh4rwnmGq2Aidv67VwE2NEa/7yjZDu37ph+jhu/12aquXn4d9ddo/GxSb/yU16Txg0x/3gclqdprDp6sOheZcNTv15FKra8IEMemc9aSGu6MjdAR6TtDd0XFP+mqKWtqghbimdxQ2cvLMQ2f9k+t8Omk19Unvanje7eA6hCfhZhd+Nx/VWSiR9rOT4XU/Gpwk76BDuzpnc4fXhScpesEUbjNHGtVxz5UYQKtOtL7aLUcaNWixK43uKW4aBnfEmYrmnm53cQ5k3rHN4SnTvKORpvIsau5R+Bxg1LwFhh7dEDO97RxmC+S1794Tkcu4sb7yDP9mxJia5r8PUwL3/OrUqvb7BITy/GNFF9kTLzEBo+Es+l9iQAxWzgDAifRAK4StxdJjACGxogz6v9nZb/J/yj/qqfFXdKbRzUWMz+2Lg095PWLVphIJJ9f2+QjOtEO1L1Z1vfbFPoSybj/EnFXOY+5ptGhf1NMmro7a6P6ivnkOk4m2GnwMvahiX03MMOxkezMgMlmwkHOVzfAKHeMaCXlqGyPFp4MAaV7LM8A1r4pC1snpV3uDhuuY7r3IdoCD8uBCp+Py9C7xDyM7vRyZqVojdH3KCbLE/smSezGCL/jQ6HoQh0js/zA+Cc3Sj40yVFHIAqHV24ltw9JP6yefvkwtEr77sdoBaNFHI6uV3odANBIL2vaIe7yD2C5RVcpUSWRJo0r5HoW15Rk2s9ZTYU1ziQAlFAinpSQQeQWVRZ5gwyUUksrSsxzKfDXNkXdAMsStsJxA5wWASjMjGdYQG+IOJcehPAhN86wdfYn+9prVRQX0ygFTTPZE7bxBEjNjNCeYaOWlIYISDbU0VLtqZU9URiUpEx0wDBBhsOJAI6UNtgYYA2zMnnjAgXmRrtFalcWgXClQtpWYQFaOpJy0+grZCjapM2ZxLBLMVZIZbFRpzHFQFJTLpBXXrjBmiKxgzy+f6Ir5JCNTu7YDw5wcGFaZqUWEc848QIYAIrmUgkPDCLBCOuqxKJ2pzT3/JEIGKsGJE1KS8F8FgOZOcU6o0VgcDFd7KBkos3b2XElBGNnaygJTDFuroESMMuSM14RZJC0GBgrCgVMSS1YttlYbohUDHEuhCKNQWoapDk0PzVfA+sjWHnBgzm/lCiNbW0FQYhrZdUHMna+Fka8tDcz8+VoY+dpyoMyXr4WRr610zy+f7op8beRr13ZglJMDo0rztcYyRBiCFjhiMBbeGAyhY54bqCkskw6ASGyBr6VGQOsYU1xYYoAQEhHpvXDceerAIVACKxj2UGkBlC8tiCJfW1lgiuFriUFIQ2EYNpogbyWGQDsHsGbEe43LDtD5BmcvsSKYWgIwJAwCiaRjgjGT7CE6Bg8kOMfAPKvD5rdyRZGvrSAoka9dF8Tc+Vq0s3xtFRUdJg2fP1+LIl9bDpT58rUo8rUVdpbyya4yXQPXXMslBSKZv3sCG9mU/T6lNS8M/N93O66ScN22f0PIbisqAjbf7KhW49DBm7bChhBOV7eL065qAZjTdCvvSdYywEaOctiw3dogB/BuKysmHeZSGcJqft87bviGgI1rKYpjOETFyMTMOahG3q2mCLgum3Z4vhSwqrJ7t63fELLbigoRkHa94fkquupVWsSnjd4QprSO/Vy8y8jr7Irqabk50uJxzNL1t1eP1APjOi7qxS/Ri3+fWKmaavETDpDBVyfKRaX43Qk/E8CsM+OfXUERwah/3o0q8YeiEj/pZgH6tV00lI0K8TujEH8Pm+zbV/OqiOrw8RuWvQlna0lmLailwt+vOIoB0x57qxDRhGuDKGAOaWIlpKR8ZfgwL8xZ0kJCjLFW2AJInHBCIEE8oFYqbhzBh6I3tNiwlT4mvaCrZ/9IYnll8Zh0pUAp5rsVaDglQHOjhSMEM+G5pMgz45hzENpq6QxZZwQiiCErGLEmtFY4jzGzmEAreNQZOtyAnPFMwrKqYjCuDCDb+l6lelTkpNXX+1plxRqjtlBxQK75pcqqVcbvVIqBcY1jk6tUFzWFKtfjy6azop5Q5GLXdF6Yi/NWWvudGUAdABwzbonXTCiGgCCUW6G8hK562u+EMUWUBhA6QxQhkjOpKCEWWuWFIFH7/XCX/jBP2i/qvlcTlGK4WA4swcoSa5EgEEEtlLPMeCuIUUiganGxngkggZeISR9CsdfaECmwkAwzZA9CQyhysbO7a16r1Kj3XjVAonbQegDmzMVGnfeygMybi40a76XAmCcXG/Xdq9zjy6azIhcbudg1nRfl4ryV1nXXkhhpoQvrX0QIsBIjxKHGRDtFDBIV1HUHyABiAUxoDcW8dEZwpBgTCDOMYNR1P9ylP8qT9oua7tUEpRguVjKlZUJQWmuIo1YTrFgapyhkDOlq6bk7CgzjWCIIwlDEoTASeEsN5MRxAkTUcz/YgJzXKjVquVcNkMjFrgdgzlxs1HAvC8i8udio314KjHlysVG7vbqOUjaZFXXbd9M1SpW9iJrtq9l5LbnvRdVEvfZigNtArX15ZVGrfbvg5TK1ijrtRUO2lkr7sqp2RKO9movS7Brtc+uICu3bBGpjtca7lUR19u2CtZY2+6JqojL7VnDKqss+p4aoyl4JdyhHZTQqsu+MExSvcZ1BjT15flRjX6bGnlipomrsdx0gi6feLVcVNfZKTBvvArPW/H5mBUUEo9EZ5SjIfmDntSf8bdTutd11VLzCJ7QtlN4AChhUnlArhdPOQWw85V4ZpaqnlmGodUAZjB2ShEAopBeIIkKQQ4J7FNUyqn8gcEYfX+MU8Pxa4jHAPYehmFPYmjjmBFaKekwAxEJ46AXRkGIEDBDVUsRAjkPnkAbISeKtEcqGNlqmiVCMAhsVMQ4v6GbdhJtXRwy4ewxBPGmdEbI1j1gvqSrqXBQA3bqHqpfVFU9Tbxm4dc76LKonnp+uimuURi7FPbmdcYXidzoyHLNtdS8HcS9uzl7cq8Q6FaPAU8QzuGR6/z6Q3O1W7/Ac+dDy6qbeWA8tzerBSZmYR3dn8ujeYJL9Q6LpojFvbtQH2/lwtVaCkRmlK7zbDLWEwmuosUz2W4WWikuoGNRGQFl+OsYahShn6RkjBCTOcpOmZFSaCiaotMxSQrg7mNwMiw1b6Y2PGV08+y7n/Eri1sdeg1CQ3hcV2hhnGQWSGIY0MsZyAYV2Gjsnq7XTDBhCHFgnQyOJsj4MOcxybJEC2uCDOeITA+7a6VbnVRGD7d4CsK1d5jCz2Xsue5a119tkXlJT3GPePnBrbjEvqyruMG8XtjU2mBdVE3MlVKZHl0UnxdwIkfvM6KxwI2etdF5a7ZHglFHFrCKaSSktNdwoYCAyCILqfWkDhUIQQyMpwESBlAgNC3NloYTGYx6/tDm8pTjMg3aLeWirAUJBeWeVJVJZrwDRBAklsQIOaK2l0NyDiuWdhaGRnlKpALJECC+RMIpbJi0HBDsXuc+DC7ibripjntl9ByB+YZMNsJy4z5hHtmjg8uI+Y97YQmHLg/uMeWKr2KPLopMi9xm5z4zOijZy1krngeWcU2E9MUYIYjyVhhskiWdGYQp8qUtwuAXm03vhEDKWKUGIU1I6oagzFmlphMfsEBIORt5zsnvnQLnFnK/VAGET3nMiziiBEYCEUSgA4TiEG+ywIt4So4wkpNy4OqPzV2huijbndXLOURkJnblmzonQ2b1klIMQYjtnoRN/8RnxJwOjWqo/+nMlccyL34m5KAuFLQ9+J+aerJ5jlLVgjrkmd8sVSvk0POaWXGzftZISzioec0luF6gNckjOryTmjtwOWBtNhWKuyKIgWitH5LwqdiQ3ZLW+VMueE/Je2bJzQR7E4n2NlDH3C8dUkNsBZ60UkLOKx9SPueKSNeXjVMnDTvVYgY5ZrPRdhi7Y7/ZCTD5sEcaxEaYOuXwzulrJUy7jFmf2ynG5fTjZ0jsUxuDae3vrolnvFbOe8S6gZtyquOz3oH9t25tmr43OTQ2HLSxeCXcoPuBGTfnSwS9OuHv1aOx6g2brhlWf/OAQA8W09xIyRizXWnEIIKTSUquMpWWeQarUCaQxBhncY1xiJ4fr/cVhnSE690F5ERZ9d6n6tuE7VZ863TQ0AxI3ZfZzjITg0AfJ1bEuoq91Lg4+s0qaVmU6K0VyrUpUSGdlv+tc7APdEYYA11+FS9/TONG5qKdNXB210f1FHSfqdhptNfgYelHFd9aDYSfbmwGRyYKF8NvN8AphmtbQKpi1MfrQ4yBAmtfyDHDNq6KQbXb9wZnh4DqvWkx3Nifd2Q8jO70cmalaI3R9ygmyxP7Jknsxgi84WHI9iEMk9n8Yn4Qm83mSBVUUEZi2l7Kult7mbExdt6sBKMtO/uzSMZ3dbqSzm41Oxq8XFlYSU9xFqZM9CmvZ1cmX1VNh+RPBmBaecOSJIRwoBZ0iCkoPsWOCu9Kln2W+8ifWeAsMA9JyS7jgymOKAbOMEcKglIci/CwPUv5kWUfPqMGxYnVREqVywBQjD61DVAaaYu0RJYIozSS0nCrvDVecqGrJQytLMJZcQMAxMYxrzJz1hliGoGPYR3noAw7MWT53W6myGJQrBcq2VIdk5UjKjVPpZakzCksXCeY6EkSZKo1iREVBmfVb/JUrjALUFez55RNdUZQ6MrVrOzDMyYGrnaQv/AETzAzlgjCvheOICemQxl4RKquXpM9xihFiiGkIiBVSeiOcMcIiboVXLibpO2RSAOZLCsbEfdUFpqBkftRj4gRmijNiDNYMIIm58kwLLAitWDI/bRhTEjmgeRh9vBQWAI6clA4rJHBkaw84MOe3co0J/qoIStSIXxfE3PnamAiwPDDz52tjcsCSoMyXr40JA6vd88unuyJfG/natR0Y5eTAlU4sCIiHwCJBIQZEAiQhFRgzLIQGwBBYagIsJLbA1/LQPC2cNxRqwplU0hvkCIOAASPMQaQWXG7YQ6UFUL60YEw4WF1gCuJrIVIKUc+cZMRxKaBSQhnlhaUkBO+yA3TOp2sV8lxIL6gxhCEtLLaCSw6Z5VJqcyDBOQbmWR02v5UrinxtBUGJfO26IObO16Kd5WurqOiweYrPTJVGvrYoKPPla2MC0Co7S/lkV0wKuqvuUbLARkwUuqqls+egXFpRTB5aFHjrphFdsbqYUHTbAOY03YpJRouHLXu60ZUq25HEo9X8vjdjAtLFtZSdirTq/EIOqpExH2mRgGXPTLq0opijdEtYZcpWuqiOw85bWiGXKEv1NKYv2yFHKEN/e/VIPTCu46Je/BK9+PeJlaqpFj/hABl8daJcVIrfnfAzAcw6M/7ZFRSSsu28G1XiD0UlftLNAvRru2goGxXid0Yh/h422bev5lUR1eHjNyx7E87WksxaUEuFv19xzAolHAGWM4KUVlwRqADkhjorpS1dbyjMC/M9Io0lhchQAwD0JPlcx3PrgWUeMMQtPRht+MWGrfQx6QVdPftHEssri8ekKwVKMd+teAGEY8xSIiAxzksfAhZXGEAqtVe2WjpDFkINpOYeI5iI4WuJqESp9BBUXLqoM3SwATnjmYRlVcVgXBlAtvW9SvWoyEmrr/e1yoo1Rm2h4oBc80uVVauM36kUA+MaxyZXqS5qClWux5dNZ0U9ocjFrum8MBfnrbb2u6aGCU40pYho6BWHxmJLONZGhRVx9bTfpQRMEaoYV4gY5oWjClvGBbPUU2qj9vvhLv1hnrRf1H2vJijFcLHQYQYVVi4JU9oBQb3BWAkCgUQI62pxsZwqQSEVAHlMqKFKIws9sgi7RE0ocrGHG5DzWqVGvfeqARK1g9YDMGcuNuq8lwVk3lxs1HgvBcY8udio717lHl82nRW52MjFrum8KBfnrbSuu2dUee4d50IRQbwi0nosFORMW8NlBXXdoQGAAITDwp9AbCXREgOgJPMUAkOjrvvhLv1RnrRf1HSvJigFcbGWGEAE1U5q4oCVgEOpEDVYCkGBq5aeO+LKcqyRJ9gSz4lSxFpuiePeYsxk1HM/2ICc1yo1arlXDZDIxa4HYM5cbNRwLwvIvLnYqN9eCox5crFRu726jlI2mRV123fTNUqVvYia7avZeS2570XVRL32YoDbQK19eWVRq3274OUytYo67UVDtpZK+7KqdkSjvZqL0uwa7XPriArt2wRqY7XGu5VEdfbtgrWWNvuiaqIy+1ZwyqrLPqeGqMpeCXcoR2U0KrLvjBMUr3GdQY09eX5UY1+mxp5YqaJq7HcdIIun3i1XFTX2Skwb7wKz1vx+ZgVFBKPRGeUoyH5g57Un/G3U7rXddVS8wie0OWKKScy9loQYiATAAjEjFLDIUUWrp5YhuEYIQK4psISHhgNpFNXKA2m1P5gPsw/6hPaMPr7GKeD5tcRjgHsOQzGnsAVVgCmhOHaMAOSko5ZQ76QXNgQpVy1FDKQw5Y5hCQAj1mpBqEHOCEeE1Eb6qIhxeEE36ybcvDpiwN1jCOJJ64yQrXnEeklVUeeiAOjWPVS9rK54mnrLwK1z1mdRPfH8dFVcozRyKe7J7YwrFL/TkeGYbat7OYh7cXP24l4l1qkYBZ4insEl0/v3geRut3qH58iHllc39cZ6aGlWD07KxDy6O5NH9waT7B8STReNeXOjPtjOh6u1EozMKF3h3WZJiHCIYAUkJxh7wQFAAApmkGZa8tJ3mylE+W56aEQNkRxzyjDBCErIAPIEQssU5vJgcjMsNmylNz5mdPHsu5zzK4lbH3sNQjE7zYhaAKlmyhJBFKZaIaEhNogiQo2h1dppJk4Ioo0Ig4okxhIJuSbUQmOUJh7quNN8cAE3I3U/r4oYbPcWgG3tMoeZzd5z2bOsvd4m85Ka4h7z9oFbc4t5WVVxh3m7sK2xwbyompgroTI9uiw6KeZGiNxnRmeFGzlrpfPSEqOdAkJYxBmhECuHsMeaaCYcI+XmQtjOlzaGe48VIZhzRZCgylEW/vUOQI6RgfFLm8NbisM8aLeYh7YaIBTDfQIPOaeOMBDCEAZeeKooUBgRAgjhFfvKhnPCrCXAWkEIlURx6Q1SFDOmPTYscp8HF3A3XVXGPLP7DkD8wiYbYDlxnzGPbNHA5cV9xryxhcKWB/cZ88RWsUeXRSdF7jNynxmdFW3krJXOAys8h1p7DnhYnhoklCVKakyMkFoZj0tNN7gF5hMAT6xCHDoNCUNas3BFOE+x0IC6Q5C6gJH3nOzeOVBuMedrNUDYhPecJPskU85I64h0RBgmqOZeCq0VllLrctO4zuLgKjQ3RZvzOjnnqIyEzlwz50To7F4yykEIsZ2z0Im/+Iz4k4FRLdUf/bmSOObF78RclIXClge/E3NPVs8xylowx1yTu+UKpXwaHnNLLrbvWkkJZxWPuSS3C9QGOSTnVxJzR24HrI2mQjFXZFEQrZUjcl4VO5IbslpfqmXPCXmvbNm5IA9i8b5Gypj7hWMqyO2As1YKyFnFY+rHXHHJmvJxquRhp3qsQMcsVvouQxfsd3shJh+2COPYCFOHXL4ZXa3kKZdxizN75bjcPpxs6R0KY3Dtvb110az3ilnPeBdQM25VXPZ70L+27U2z10bnpobDFhavhDsUH3Cjpnzp4Bcn3L16NHa9QbN1w6pPfdcOJPcEA4gYwcgpq521UmjDvDJClXkGqVInkMYYZHCPcYmdHK73F4d1hujcB+VFWPTdperbhu9Ufep009AMSNyU2c8xEoLDnh+tjvS+ng65pS0Ocx60IsKFf9qVjS8KbxvmLY1B39S1Grgpruhluze8ep805vjh/nXEFb/Kg//e12XIAR/QWgXZ2PXKQWeVfhc73b51uqWYFtHdBsOwVgxvfNEZzlrjS0M98UBj7ZOs3UJrCYCSDoQ/MQZ9GWv8Zme/V/h3TD7PBe7cUsy6MeB11dAXPsB38AkDJ6wxNYj8nP72PP1pnzf8Jto4zwsnbtqHrTyjeso0h1eLjopAEP7Zr4Ax6ZDXjVwJtZu7CxlLkn7kGpfN4XkjfQuTDuwLyahXqjVw+wzHnEavhs6cwoWAZVzHJTjM/L7YIosloFjzMO5L45S31HLFuAbaEVcKtx/eNanR96+Sof847ch7/KnxlCfcwLGi59zcX4SzJPU0TGhVMzzIZVfitIxoDRWTzGISXEkaiBTnRDNuMaS2vGnkyItqOSd/40gahhRDOEl6B5DkLEyclXfIhiZ7VWEZkJXNWh0ZkMmeOdVXVuvOU4WizMdOG3nNjbnscZNpgqV0jof/EWal1hQZSCiihEJPTakyH/PG3w3iJvNaMomsItoTrrhkXtDwVyMY5AYeQtLMpWatatwc95HVuvL45hgnd8qomeNiynDdUE6TynEymTQBR6UWREEjLWSEcwVDJPBQqZ1iHvdiP2GKGBiZfkUWYXTzfu4wsMM6XVgktZdBSaHVO1ezdxikYM4aI6wjFhhlAYVOWYwRd9jyHTtFuBc9PTX2POjTHw/7O7GvT2zz07P/DyH+x4Y=</script> <treescope-run-here><script type=\"application/octet-stream\"> const root = ( Array.from(document.getElementsByClassName( \"treescope_out_cb9d7a2d0eff449994c3bc06d69f8b49\")) .filter((elt) => !elt.dataset['step0']) )[0]; root.dataset['step0'] = 1; root.defns.insertContent( this.parentNode.querySelector('script[type=\"application/octet-stream\"]'), true ); this.parentNode.remove(); </script></treescope-run-here> </div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -4868,7 +11161,7 @@
     {
      "data": {
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<treescope-run-here><script type=\"application/octet-stream\"> const root = ( Array.from(document.getElementsByClassName( \"treescope_out_280d689593654375992416f7cd33d7ed\")) .filter((elt) => !elt.dataset['step1']) )[0]; root.dataset['step1'] = 1; root.defns.insertContent( this.parentNode.querySelector('script[type=\"application/octet-stream\"]'), true ); this.parentNode.remove(); </script></treescope-run-here> </div>"
+       "<div style=\"display:none\"> <script type=\"application/octet-stream\" 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</script> <treescope-run-here><script type=\"application/octet-stream\"> const root = ( Array.from(document.getElementsByClassName( \"treescope_out_cb9d7a2d0eff449994c3bc06d69f8b49\")) .filter((elt) => !elt.dataset['step1']) )[0]; root.dataset['step1'] = 1; root.defns.insertContent( this.parentNode.querySelector('script[type=\"application/octet-stream\"]'), true ); this.parentNode.remove(); </script></treescope-run-here> </div>"
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       "text/plain": [
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@@ -4880,101 +11173,104 @@
     {
      "data": {
       "text/html": [
-       "<treescope-run-here><script type=\"application/octet-stream\"> const root = ( Array.from(document.getElementsByClassName( \"treescope_out_280d689593654375992416f7cd33d7ed\")) .filter((elt) => !elt.dataset.stolen) )[0]; root.dataset.stolen = 1; const temp = document.createElement(\"div\"); temp.style = \"height: 1px; width: 1px;\"; root.parentNode.insertBefore(temp, root); this.parentNode.replaceChild(root, this); temp.remove(); root.style.paddingTop = \"1px\"; </script></treescope-run-here>"
+       "<treescope-run-here><script type=\"application/octet-stream\"> const root = ( Array.from(document.getElementsByClassName( \"treescope_out_cb9d7a2d0eff449994c3bc06d69f8b49\")) .filter((elt) => !elt.dataset.stolen) )[0]; root.dataset.stolen = 1; const temp = document.createElement(\"div\"); temp.style = \"height: 1px; width: 1px;\"; root.parentNode.insertBefore(temp, root); this.parentNode.replaceChild(root, this); temp.remove(); root.style.paddingTop = \"1px\"; </script></treescope-run-here>"
       ],
       "text/plain": [
        "Agent(\n",
        "  batch_size=64,\n",
        "  replay_symmetric=False,\n",
-       "  scene_fn=_JitWrapper(\n",
-       "    fn='random_scene',\n",
-       "    filter_warning=False,\n",
-       "    donate_first=False,\n",
-       "    donate_rest=False\n",
+       "  scene_fn=partial(\n",
+       "    _JitWrapper(\n",
+       "      fn='random_scene',\n",
+       "      filter_warning=False,\n",
+       "      donate_first=False,\n",
+       "      donate_rest=False\n",
+       "    ),\n",
+       "    sample_in_canyon=False\n",
        "  ),\n",
        "  model=Model(\n",
        "    order=2,\n",
-       "    action_masking=False,\n",
-       "    distance_based_weighting=False,\n",
+       "    action_masking=True,\n",
+       "    distance_based_weighting=True,\n",
        "    objects_encoder=ObjectsEncoder(\n",
-       "      out_size=64,\n",
+       "      out_size=128,\n",
        "      mlp=MLP(\n",
        "        layers=(\n",
        "          Linear(\n",
-       "            weight=f32[128,9],\n",
-       "            bias=f32[128],\n",
+       "            weight=f32[256,9],\n",
+       "            bias=f32[256],\n",
        "            in_features=9,\n",
-       "            out_features=128,\n",
+       "            out_features=256,\n",
        "            use_bias=True\n",
        "          ),\n",
        "          Linear(\n",
-       "            weight=f32[128,128],\n",
-       "            bias=f32[128],\n",
-       "            in_features=128,\n",
-       "            out_features=128,\n",
+       "            weight=f32[256,256],\n",
+       "            bias=f32[256],\n",
+       "            in_features=256,\n",
+       "            out_features=256,\n",
        "            use_bias=True\n",
        "          ),\n",
        "          Linear(\n",
-       "            weight=f32[64,128],\n",
-       "            bias=f32[64],\n",
-       "            in_features=128,\n",
-       "            out_features=64,\n",
+       "            weight=f32[128,256],\n",
+       "            bias=f32[128],\n",
+       "            in_features=256,\n",
+       "            out_features=128,\n",
        "            use_bias=True\n",
        "          )\n",
        "        ),\n",
-       "        activation=<PjitFunction of <function relu at 0x77374a89fce0>>,\n",
+       "        activation=<PjitFunction of <function relu at 0x7fb31146e480>>,\n",
        "        final_activation=<function <lambda>>,\n",
        "        use_bias=True,\n",
        "        use_final_bias=True,\n",
        "        in_size=9,\n",
-       "        out_size=64,\n",
-       "        width_size=128,\n",
+       "        out_size=128,\n",
+       "        width_size=256,\n",
        "        depth=2\n",
        "      )\n",
        "    ),\n",
        "    scene_encoder=SceneEncoder(\n",
-       "      out_size=64,\n",
+       "      out_size=128,\n",
        "      rho=MLP(\n",
        "        layers=(\n",
        "          Linear(\n",
-       "            weight=f32[128,64],\n",
-       "            bias=f32[128],\n",
-       "            in_features=64,\n",
-       "            out_features=128,\n",
+       "            weight=f32[256,128],\n",
+       "            bias=f32[256],\n",
+       "            in_features=128,\n",
+       "            out_features=256,\n",
        "            use_bias=True\n",
        "          ),\n",
        "          Linear(\n",
-       "            weight=f32[128,128],\n",
-       "            bias=f32[128],\n",
-       "            in_features=128,\n",
-       "            out_features=128,\n",
+       "            weight=f32[256,256],\n",
+       "            bias=f32[256],\n",
+       "            in_features=256,\n",
+       "            out_features=256,\n",
        "            use_bias=True\n",
        "          ),\n",
        "          Linear(\n",
-       "            weight=f32[64,128],\n",
-       "            bias=f32[64],\n",
-       "            in_features=128,\n",
-       "            out_features=64,\n",
+       "            weight=f32[128,256],\n",
+       "            bias=f32[128],\n",
+       "            in_features=256,\n",
+       "            out_features=128,\n",
        "            use_bias=True\n",
        "          )\n",
        "        ),\n",
-       "        activation=<PjitFunction of <function relu at 0x77374a89fce0>>,\n",
+       "        activation=<PjitFunction of <function relu at 0x7fb31146e480>>,\n",
        "        final_activation=<function <lambda>>,\n",
        "        use_bias=True,\n",
        "        use_final_bias=True,\n",
-       "        in_size=64,\n",
-       "        out_size=64,\n",
-       "        width_size=128,\n",
+       "        in_size=128,\n",
+       "        out_size=128,\n",
+       "        width_size=256,\n",
        "        depth=2\n",
        "      )\n",
        "    ),\n",
        "    state_encoder=StateEncoder(\n",
-       "      out_size=128,\n",
+       "      out_size=256,\n",
        "      linear=Linear(\n",
-       "        weight=f32[128,128],\n",
-       "        bias=f32[128],\n",
-       "        in_features=128,\n",
-       "        out_features=128,\n",
+       "        weight=f32[256,256],\n",
+       "        bias=f32[256],\n",
+       "        in_features=256,\n",
+       "        out_features=256,\n",
        "        use_bias=True\n",
        "      )\n",
        "    ),\n",
@@ -4982,34 +11278,34 @@
        "      mlp=MLP(\n",
        "        layers=(\n",
        "          Linear(\n",
-       "            weight=f32[128,256],\n",
-       "            bias=f32[128],\n",
-       "            in_features=256,\n",
-       "            out_features=128,\n",
+       "            weight=f32[256,512],\n",
+       "            bias=f32[256],\n",
+       "            in_features=512,\n",
+       "            out_features=256,\n",
        "            use_bias=True\n",
        "          ),\n",
        "          Linear(\n",
-       "            weight=f32[128,128],\n",
-       "            bias=f32[128],\n",
-       "            in_features=128,\n",
-       "            out_features=128,\n",
+       "            weight=f32[256,256],\n",
+       "            bias=f32[256],\n",
+       "            in_features=256,\n",
+       "            out_features=256,\n",
        "            use_bias=True\n",
        "          ),\n",
        "          Linear(\n",
-       "            weight=f32[1,128],\n",
+       "            weight=f32[1,256],\n",
        "            bias=f32[1],\n",
-       "            in_features=128,\n",
+       "            in_features=256,\n",
        "            out_features='scalar',\n",
        "            use_bias=True\n",
        "          )\n",
        "        ),\n",
-       "        activation=<PjitFunction of <function leaky_relu at 0x77374a8c1300>>,\n",
-       "        final_activation=<PjitFunction of <function exp at 0x77374abdb600>>,\n",
+       "        activation=<PjitFunction of <function leaky_relu at 0x7fb31146fa60>>,\n",
+       "        final_activation=<PjitFunction of <function exp at 0x7fb3117b9760>>,\n",
        "        use_bias=True,\n",
        "        use_final_bias=True,\n",
-       "        in_size=256,\n",
+       "        in_size=512,\n",
        "        out_size='scalar',\n",
-       "        width_size=128,\n",
+       "        width_size=256,\n",
        "        depth=2\n",
        "      ),\n",
        "      dropout=Dropout(p=0.0, inference=False)\n",
@@ -5028,32 +11324,32 @@
        "        count=i32[],\n",
        "        mu=Model(\n",
        "          order=2,\n",
-       "          action_masking=False,\n",
-       "          distance_based_weighting=False,\n",
+       "          action_masking=True,\n",
+       "          distance_based_weighting=True,\n",
        "          objects_encoder=ObjectsEncoder(\n",
-       "            out_size=64,\n",
+       "            out_size=128,\n",
        "            mlp=MLP(\n",
        "              layers=(\n",
        "                Linear(\n",
-       "                  weight=f32[128,9],\n",
-       "                  bias=f32[128],\n",
+       "                  weight=f32[256,9],\n",
+       "                  bias=f32[256],\n",
        "                  in_features=9,\n",
-       "                  out_features=128,\n",
+       "                  out_features=256,\n",
        "                  use_bias=True\n",
        "                ),\n",
        "                Linear(\n",
-       "                  weight=f32[128,128],\n",
-       "                  bias=f32[128],\n",
-       "                  in_features=128,\n",
-       "                  out_features=128,\n",
+       "                  weight=f32[256,256],\n",
+       "                  bias=f32[256],\n",
+       "                  in_features=256,\n",
+       "                  out_features=256,\n",
        "                  use_bias=True\n",
        "                ),\n",
        "                Linear(\n",
-       "                  weight=f32[64,128],\n",
-       "                  bias=f32[64],\n",
-       "                  in_features=128,\n",
-       "                  out_features=64,\n",
-       "                  use_bias=True\n",
+       "                  weight=f32[128,256],\n",
+       "                  bias=f32[128],\n",
+       "                  in_features=256,\n",
+       "                  out_features=128,\n",
+       "                  use_bias=True\n",
        "                )\n",
        "              ),\n",
        "              activation=None,\n",
@@ -5061,34 +11357,34 @@
        "              use_bias=True,\n",
        "              use_final_bias=True,\n",
        "              in_size=9,\n",
-       "              out_size=64,\n",
-       "              width_size=128,\n",
+       "              out_size=128,\n",
+       "              width_size=256,\n",
        "              depth=2\n",
        "            )\n",
        "          ),\n",
        "          scene_encoder=SceneEncoder(\n",
-       "            out_size=64,\n",
+       "            out_size=128,\n",
        "            rho=MLP(\n",
        "              layers=(\n",
        "                Linear(\n",
-       "                  weight=f32[128,64],\n",
-       "                  bias=f32[128],\n",
-       "                  in_features=64,\n",
-       "                  out_features=128,\n",
+       "                  weight=f32[256,128],\n",
+       "                  bias=f32[256],\n",
+       "                  in_features=128,\n",
+       "                  out_features=256,\n",
        "                  use_bias=True\n",
        "                ),\n",
        "                Linear(\n",
-       "                  weight=f32[128,128],\n",
-       "                  bias=f32[128],\n",
-       "                  in_features=128,\n",
-       "                  out_features=128,\n",
+       "                  weight=f32[256,256],\n",
+       "                  bias=f32[256],\n",
+       "                  in_features=256,\n",
+       "                  out_features=256,\n",
        "                  use_bias=True\n",
        "                ),\n",
        "                Linear(\n",
-       "                  weight=f32[64,128],\n",
-       "                  bias=f32[64],\n",
-       "                  in_features=128,\n",
-       "                  out_features=64,\n",
+       "                  weight=f32[128,256],\n",
+       "                  bias=f32[128],\n",
+       "                  in_features=256,\n",
+       "                  out_features=128,\n",
        "                  use_bias=True\n",
        "                )\n",
        "              ),\n",
@@ -5096,19 +11392,19 @@
        "              final_activation=None,\n",
        "              use_bias=True,\n",
        "              use_final_bias=True,\n",
-       "              in_size=64,\n",
-       "              out_size=64,\n",
-       "              width_size=128,\n",
+       "              in_size=128,\n",
+       "              out_size=128,\n",
+       "              width_size=256,\n",
        "              depth=2\n",
        "            )\n",
        "          ),\n",
        "          state_encoder=StateEncoder(\n",
-       "            out_size=128,\n",
+       "            out_size=256,\n",
        "            linear=Linear(\n",
-       "              weight=f32[128,128],\n",
-       "              bias=f32[128],\n",
-       "              in_features=128,\n",
-       "              out_features=128,\n",
+       "              weight=f32[256,256],\n",
+       "              bias=f32[256],\n",
+       "              in_features=256,\n",
+       "              out_features=256,\n",
        "              use_bias=True\n",
        "            )\n",
        "          ),\n",
@@ -5116,23 +11412,23 @@
        "            mlp=MLP(\n",
        "              layers=(\n",
        "                Linear(\n",
-       "                  weight=f32[128,256],\n",
-       "                  bias=f32[128],\n",
-       "                  in_features=256,\n",
-       "                  out_features=128,\n",
+       "                  weight=f32[256,512],\n",
+       "                  bias=f32[256],\n",
+       "                  in_features=512,\n",
+       "                  out_features=256,\n",
        "                  use_bias=True\n",
        "                ),\n",
        "                Linear(\n",
-       "                  weight=f32[128,128],\n",
-       "                  bias=f32[128],\n",
-       "                  in_features=128,\n",
-       "                  out_features=128,\n",
+       "                  weight=f32[256,256],\n",
+       "                  bias=f32[256],\n",
+       "                  in_features=256,\n",
+       "                  out_features=256,\n",
        "                  use_bias=True\n",
        "                ),\n",
        "                Linear(\n",
-       "                  weight=f32[1,128],\n",
+       "                  weight=f32[1,256],\n",
        "                  bias=f32[1],\n",
-       "                  in_features=128,\n",
+       "                  in_features=256,\n",
        "                  out_features='scalar',\n",
        "                  use_bias=True\n",
        "                )\n",
@@ -5141,9 +11437,9 @@
        "              final_activation=None,\n",
        "              use_bias=True,\n",
        "              use_final_bias=True,\n",
-       "              in_size=256,\n",
+       "              in_size=512,\n",
        "              out_size='scalar',\n",
-       "              width_size=128,\n",
+       "              width_size=256,\n",
        "              depth=2\n",
        "            ),\n",
        "            dropout=Dropout(p=None, inference=None)\n",
@@ -5154,31 +11450,31 @@
        "        ),\n",
        "        nu=Model(\n",
        "          order=2,\n",
-       "          action_masking=False,\n",
-       "          distance_based_weighting=False,\n",
+       "          action_masking=True,\n",
+       "          distance_based_weighting=True,\n",
        "          objects_encoder=ObjectsEncoder(\n",
-       "            out_size=64,\n",
+       "            out_size=128,\n",
        "            mlp=MLP(\n",
        "              layers=(\n",
        "                Linear(\n",
-       "                  weight=f32[128,9],\n",
-       "                  bias=f32[128],\n",
+       "                  weight=f32[256,9],\n",
+       "                  bias=f32[256],\n",
        "                  in_features=9,\n",
-       "                  out_features=128,\n",
+       "                  out_features=256,\n",
        "                  use_bias=True\n",
        "                ),\n",
        "                Linear(\n",
-       "                  weight=f32[128,128],\n",
-       "                  bias=f32[128],\n",
-       "                  in_features=128,\n",
-       "                  out_features=128,\n",
+       "                  weight=f32[256,256],\n",
+       "                  bias=f32[256],\n",
+       "                  in_features=256,\n",
+       "                  out_features=256,\n",
        "                  use_bias=True\n",
        "                ),\n",
        "                Linear(\n",
-       "                  weight=f32[64,128],\n",
-       "                  bias=f32[64],\n",
-       "                  in_features=128,\n",
-       "                  out_features=64,\n",
+       "                  weight=f32[128,256],\n",
+       "                  bias=f32[128],\n",
+       "                  in_features=256,\n",
+       "                  out_features=128,\n",
        "                  use_bias=True\n",
        "                )\n",
        "              ),\n",
@@ -5187,34 +11483,34 @@
        "              use_bias=True,\n",
        "              use_final_bias=True,\n",
        "              in_size=9,\n",
-       "              out_size=64,\n",
-       "              width_size=128,\n",
+       "              out_size=128,\n",
+       "              width_size=256,\n",
        "              depth=2\n",
        "            )\n",
        "          ),\n",
        "          scene_encoder=SceneEncoder(\n",
-       "            out_size=64,\n",
+       "            out_size=128,\n",
        "            rho=MLP(\n",
        "              layers=(\n",
        "                Linear(\n",
-       "                  weight=f32[128,64],\n",
-       "                  bias=f32[128],\n",
-       "                  in_features=64,\n",
-       "                  out_features=128,\n",
+       "                  weight=f32[256,128],\n",
+       "                  bias=f32[256],\n",
+       "                  in_features=128,\n",
+       "                  out_features=256,\n",
        "                  use_bias=True\n",
        "                ),\n",
        "                Linear(\n",
-       "                  weight=f32[128,128],\n",
-       "                  bias=f32[128],\n",
-       "                  in_features=128,\n",
-       "                  out_features=128,\n",
+       "                  weight=f32[256,256],\n",
+       "                  bias=f32[256],\n",
+       "                  in_features=256,\n",
+       "                  out_features=256,\n",
        "                  use_bias=True\n",
        "                ),\n",
        "                Linear(\n",
-       "                  weight=f32[64,128],\n",
-       "                  bias=f32[64],\n",
-       "                  in_features=128,\n",
-       "                  out_features=64,\n",
+       "                  weight=f32[128,256],\n",
+       "                  bias=f32[128],\n",
+       "                  in_features=256,\n",
+       "                  out_features=128,\n",
        "                  use_bias=True\n",
        "                )\n",
        "              ),\n",
@@ -5222,19 +11518,19 @@
        "              final_activation=None,\n",
        "              use_bias=True,\n",
        "              use_final_bias=True,\n",
-       "              in_size=64,\n",
-       "              out_size=64,\n",
-       "              width_size=128,\n",
+       "              in_size=128,\n",
+       "              out_size=128,\n",
+       "              width_size=256,\n",
        "              depth=2\n",
        "            )\n",
        "          ),\n",
        "          state_encoder=StateEncoder(\n",
-       "            out_size=128,\n",
+       "            out_size=256,\n",
        "            linear=Linear(\n",
-       "              weight=f32[128,128],\n",
-       "              bias=f32[128],\n",
-       "              in_features=128,\n",
-       "              out_features=128,\n",
+       "              weight=f32[256,256],\n",
+       "              bias=f32[256],\n",
+       "              in_features=256,\n",
+       "              out_features=256,\n",
        "              use_bias=True\n",
        "            )\n",
        "          ),\n",
@@ -5242,23 +11538,23 @@
        "            mlp=MLP(\n",
        "              layers=(\n",
        "                Linear(\n",
-       "                  weight=f32[128,256],\n",
-       "                  bias=f32[128],\n",
-       "                  in_features=256,\n",
-       "                  out_features=128,\n",
+       "                  weight=f32[256,512],\n",
+       "                  bias=f32[256],\n",
+       "                  in_features=512,\n",
+       "                  out_features=256,\n",
        "                  use_bias=True\n",
        "                ),\n",
        "                Linear(\n",
-       "                  weight=f32[128,128],\n",
-       "                  bias=f32[128],\n",
-       "                  in_features=128,\n",
-       "                  out_features=128,\n",
+       "                  weight=f32[256,256],\n",
+       "                  bias=f32[256],\n",
+       "                  in_features=256,\n",
+       "                  out_features=256,\n",
        "                  use_bias=True\n",
        "                ),\n",
        "                Linear(\n",
-       "                  weight=f32[1,128],\n",
+       "                  weight=f32[1,256],\n",
        "                  bias=f32[1],\n",
-       "                  in_features=128,\n",
+       "                  in_features=256,\n",
        "                  out_features='scalar',\n",
        "                  use_bias=True\n",
        "                )\n",
@@ -5267,9 +11563,9 @@
        "              final_activation=None,\n",
        "              use_bias=True,\n",
        "              use_final_bias=True,\n",
-       "              in_size=256,\n",
+       "              in_size=512,\n",
        "              out_size='scalar',\n",
-       "              width_size=128,\n",
+       "              width_size=256,\n",
        "              depth=2\n",
        "            ),\n",
        "            dropout=Dropout(p=None, inference=None)\n",
@@ -5305,10 +11601,13 @@
     "key_training = jr.key(1234)\n",
     "key_episodes, key_valid_samples = jr.split(key_training, 2)\n",
     "valid_keys = validation_scene_keys(\n",
-    "    order=order, num_scenes=100, key=key_valid_samples\n",
+    "    order=order,\n",
+    "    num_scenes=100,\n",
+    "    sample_in_canyon=sample_in_canyon,\n",
+    "    key=key_valid_samples,\n",
     ")\n",
     "\n",
-    "num_episodes = 100_000\n",
+    "num_episodes = 1000\n",
     "\n",
     "evaluate_every = 100\n",
     "\n",
@@ -5361,7 +11660,7 @@
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oldScript.parentNode.replaceChild(newScript, oldScript); } if (root.state.loadingMsg) { root.state.loadingMsg.remove(); root.state.loadingMsg = null; } root.shadowRoot.appendChild(node); }; root.defns.insertContent = ((contentNode, compressed) => { if (compressed) { root.state.deferring = true; } if (root.state.deferring) { root.state.chain = (async () => { await root.state.chain; if (compressed) { const encoded = contentNode.textContent; const blob = new Blob([ Uint8Array.from(atob(encoded), (m) => m.codePointAt(0)) ]); const reader = blob.stream().pipeThrough( new DecompressionStream(\"deflate\") ).pipeThrough( new TextDecoderStream(\"utf-8\") ).getReader(); const parts = []; while (true) { const step = await reader.read(); if (step.done) { break; } parts.push(step.value); } const tpl = document.createElement('template'); tpl.innerHTML = parts.join(\"\"); _insertNode(tpl.content); } else { _insertNode(contentNode.content); } })(); } else { _insertNode(contentNode.content); } }); </script></treescope-run-here><div style=\"display:none\"> <script type=\"application/octet-stream\" >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</script> <treescope-run-here><script type=\"application/octet-stream\"> const root = ( Array.from(document.getElementsByClassName( \"treescope_out_85a77f0b0c724e1aba2d1e0c03b10041\")) .filter((elt) => !elt.dataset['step0']) )[0]; root.dataset['step0'] = 1; root.defns.insertContent( this.parentNode.querySelector('script[type=\"application/octet-stream\"]'), true ); this.parentNode.remove(); </script></treescope-run-here> </div>"
+       "<script> (()=>{ if (customElements.get('treescope-container') === undefined) { class TreescopeContainer extends HTMLElement { constructor() { super(); this.attachShadow({mode: \"open\"}); this.defns = {}; this.state = {}; } } customElements.define(\"treescope-container\", TreescopeContainer); } if (customElements.get('treescope-run-here') === undefined) { class RunHere extends HTMLElement { constructor() { super() } connectedCallback() { const run = child => { const fn = new Function(child.textContent); child.textContent = \"\"; fn.call(this); this.remove(); }; const child = this.querySelector(\"script\"); if (child) { run(child); } else { new MutationObserver(()=>{ run(this.querySelector(\"script\")); }).observe(this, {childList: true}); } } } customElements.define(\"treescope-run-here\", RunHere); } })(); </script> <treescope-container class=\"treescope_out_0ee8c6306d94450bb0f866ef17c25c70\" style=\"display:block\"></treescope-container> <treescope-run-here><script type=\"application/octet-stream\"> const root = ( Array.from(document.getElementsByClassName( \"treescope_out_0ee8c6306d94450bb0f866ef17c25c70\")) .filter((elt) => !elt.dataset.setup) )[0]; root.dataset.setup = 1; const msg = document.createElement(\"span\"); msg.style = \"color: #cccccc; font-family: monospace;\"; msg.textContent = \"(Loading...)\"; root.state.loadingMsg = msg; root.shadowRoot.appendChild(msg); root.state.chain = new Promise((resolve, reject) => { const observer = new IntersectionObserver((entries) => { for (const entry of entries) { if (entry.isIntersecting) { resolve(); observer.disconnect(); return; } } }, {rootMargin: \"1000px\"}); window.setTimeout(() => { observer.observe(root); }, 0); }); root.state.deferring = false; const _insertNode = (node) => { for (let oldScript of node.querySelectorAll(\"script\")) { let newScript = document.createElement(\"script\"); newScript.type = oldScript.type; newScript.textContent = oldScript.textContent; oldScript.parentNode.replaceChild(newScript, oldScript); } if (root.state.loadingMsg) { root.state.loadingMsg.remove(); root.state.loadingMsg = null; } root.shadowRoot.appendChild(node); }; root.defns.insertContent = ((contentNode, compressed) => { if (compressed) { root.state.deferring = true; } if (root.state.deferring) { root.state.chain = (async () => { await root.state.chain; if (compressed) { const encoded = contentNode.textContent; const blob = new Blob([ Uint8Array.from(atob(encoded), (m) => m.codePointAt(0)) ]); const reader = blob.stream().pipeThrough( new DecompressionStream(\"deflate\") ).pipeThrough( new TextDecoderStream(\"utf-8\") ).getReader(); const parts = []; while (true) { const step = await reader.read(); if (step.done) { break; } parts.push(step.value); } const tpl = document.createElement('template'); tpl.innerHTML = parts.join(\"\"); _insertNode(tpl.content); } else { _insertNode(contentNode.content); } })(); } else { _insertNode(contentNode.content); } }); </script></treescope-run-here><div style=\"display:none\"> <script type=\"application/octet-stream\" >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</script> <treescope-run-here><script type=\"application/octet-stream\"> const root = ( Array.from(document.getElementsByClassName( \"treescope_out_0ee8c6306d94450bb0f866ef17c25c70\")) .filter((elt) => !elt.dataset['step0']) )[0]; root.dataset['step0'] = 1; root.defns.insertContent( this.parentNode.querySelector('script[type=\"application/octet-stream\"]'), true ); this.parentNode.remove(); </script></treescope-run-here> </div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -5373,7 +11672,7 @@
     {
      "data": {
       "text/html": [
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</script> <treescope-run-here><script type=\"application/octet-stream\"> const root = ( Array.from(document.getElementsByClassName( \"treescope_out_85a77f0b0c724e1aba2d1e0c03b10041\")) .filter((elt) => !elt.dataset['step1']) )[0]; root.dataset['step1'] = 1; root.defns.insertContent( this.parentNode.querySelector('script[type=\"application/octet-stream\"]'), true ); this.parentNode.remove(); </script></treescope-run-here> </div>"
+       "<div style=\"display:none\"> <script type=\"application/octet-stream\" 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</script> <treescope-run-here><script type=\"application/octet-stream\"> const root = ( Array.from(document.getElementsByClassName( \"treescope_out_0ee8c6306d94450bb0f866ef17c25c70\")) .filter((elt) => !elt.dataset['step1']) )[0]; root.dataset['step1'] = 1; root.defns.insertContent( this.parentNode.querySelector('script[type=\"application/octet-stream\"]'), true ); this.parentNode.remove(); </script></treescope-run-here> </div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -5385,7 +11684,7 @@
     {
      "data": {
       "text/html": [
-       "<treescope-run-here><script type=\"application/octet-stream\"> const root = ( Array.from(document.getElementsByClassName( \"treescope_out_85a77f0b0c724e1aba2d1e0c03b10041\")) .filter((elt) => !elt.dataset.stolen) )[0]; root.dataset.stolen = 1; const temp = document.createElement(\"div\"); temp.style = \"height: 1px; width: 1px;\"; root.parentNode.insertBefore(temp, root); this.parentNode.replaceChild(root, this); temp.remove(); root.style.paddingTop = \"1px\"; </script></treescope-run-here>"
+       "<treescope-run-here><script type=\"application/octet-stream\"> const root = ( Array.from(document.getElementsByClassName( \"treescope_out_0ee8c6306d94450bb0f866ef17c25c70\")) .filter((elt) => !elt.dataset.stolen) )[0]; root.dataset.stolen = 1; const temp = document.createElement(\"div\"); temp.style = \"height: 1px; width: 1px;\"; root.parentNode.insertBefore(temp, root); this.parentNode.replaceChild(root, this); temp.remove(); root.style.paddingTop = \"1px\"; </script></treescope-run-here>"
       ],
       "text/plain": [
        "ReplayBuffer(\n",
@@ -5415,7 +11714,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -5428,7 +11727,7 @@
     "plt.figure()\n",
     "plt.title(f\"Train losses (K = {order})\")\n",
     "plt.semilogy(episodes, loss_values)\n",
-    "plt.xlabel(\"Episodes\")\n",
+    "plt.xlabel(\"Training episodes\")\n",
     "plt.ylabel(\"Loss\")\n",
     "plt.show()"
    ]
@@ -5441,7 +11740,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -5453,7 +11752,7 @@
    "source": [
     "_, ax1 = plt.subplots()\n",
     "ax1.set_title(f\"Train accuracy and hit rate (K = {order})\")\n",
-    "ax1.set_xlabel(\"Train steps\")\n",
+    "ax1.set_xlabel(\"Training episodes\")\n",
     "ax1.set_ylabel(\"Accuracy (%)\")\n",
     "ax1.plot(episodes, success_rates, label=\"Accuracy\")\n",
     "ax2 = ax1.twinx()\n",
@@ -5470,7 +11769,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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cc7CzJN1yyy2aM2eOevXqpe7du2vPnj2aNGmSmjZtWuCaTN27d1eVKlU0a9YsdevWTeHh4YX+fM2bN1eXLl08prpL8hg826dPH/3tb39Tr1699Nhjj+nEiRNKSkrSFVdc4VE4FdU999yjmTNnasCAAVq+fLnat2+vvLw87dy5UzNnzrTun3O56dy5s/z8/HTrrbfqoYceUkZGht58802Fh4efVTS3adNGSUlJeu6559SgQQOFh4cXeMM+X19fvfTSS7rvvvvUsWNH3X333dZU97p161rLiJxLQECAOnfurM8//1z//Oc/z9s2KChIn3zyiTp27Kj7779foaGh5/2+FueYn65du2r37t0aPny4Vq1a5TGWKSIiQn/605882i9ZskS33nprmeo5hE0cnWsGlALuaelff/31Wfvy8vJM/fr1Tf369U1ubq4xxpgffvjB3HvvvSYyMtL4+vqamjVrmltuucXMnj37rGOuWLHC9O/f31SqVMlUqFDBxMfHm19//dXjPf441T0/P9+88MILpk6dOsbf39+0atXKfPzxx+edgv3II48YSWb69OmF/tySzMCBA83UqVNNw4YNrfc6c9q322effWaaN29u/Pz8TKNGjczUqVMveaq7MaemcL/00kumWbNmxt/f31SqVMm0adPGPPPMMyYtLe2sWAvLrqnuBX0mY4yZP3++ufLKK01AQICpW7eueemll8w777xjJJk9e/ZY7VJSUkz37t1NxYoVPaaDFxSXMcZ8+OGHplWrVsbf399UrlzZxMfHm59++umCsRpjzJw5c4zL5TL79u0r1OdISUkxDRo0MAEBAQV+J0qCijBVfseOHdYtKoCichnDrTGB4ua+Id3XX39tS+/F0KFD9fbbbyslJUVBQUEl/n64/OTl5alp06a688479eyzzzodziUbMmSIVq5cqY0bN9LzgyJjzA9wmcvMzNTUqVPVu3dvCh+ck7e3t/75z39q4sSJBV4+vZz8+uuveuutt/Tcc89R+OCiMOYHuEwdOnRIn3/+uWbPnq1ff/1VgwcPdjoklHJ33XWX7rrrLqfDuGRVqlS57As4OIviB7hMbd++XfHx8QoPD9eECRPUsmVLp0MCgMsCY34AAEC5wpgfAABQrlD8AACAcoUxPzq1xtDPP/+sihUrMnMAAIDLhDFGx44dU40aNeTlVfj+HIofST///PNZiygCAIDLw/79+8+5aG9BKH4kVaxYUdKpkxcSEuJwNAAAoDDS09MVFRVl5fHCovjR6ZWVQ0JCKH4AALjMFHXICgOeAQBAuULxAwAAyhWKHwAAUK5Q/AAAgHKF4gcAAJQrFD8AAKBcofgBAADlCsUPAAAoVyh+AABAuULxAwAAyhVHi5+VK1fq1ltvVY0aNeRyuTRv3jyP/cYYjRo1StWrV1dgYKDi4uK0a9cujzZHjhxRfHy8QkJCFBYWpgceeEAZGRk2fgoAAHA5cbT4OX78uK666ipNnDixwP1jxozRhAkTNGnSJK1bt07BwcHq0qWLMjMzrTbx8fHatm2blixZoo8//lgrV65U//797foIAADgMuMyxhing5BOLUo2d+5c9ezZU9KpXp8aNWro8ccf11//+ldJUlpamiIiIjRlyhT16dNHO3bsUNOmTfX1118rJiZGkrRo0SLdfPPN+umnn1SjRo1CvXd6erpCQ0OVlpbGwqYOSc/MUfrJHKfDAACUkIiQAPl6F2+fy8Xm71K7qvuePXuUkpKiuLg4a1toaKjatm2rNWvWqE+fPlqzZo3CwsKswkeS4uLi5OXlpXXr1qlXr14FHjsrK0tZWVnW8/T09JL7ILigrQfSdPtrXyk7L9/pUAAAJWTZ4x1Vr1oFp8OQVIqLn5SUFElSRESEx/aIiAhrX0pKisLDwz32+/j4qHLlylabgiQmJuqZZ54p5ohxsbb/nK7svHy5XJJfMf8qAACUDi6Xy+kQLKW2+ClJI0aM0LBhw6zn6enpioqKcjCi8i0n/1SPT+emEXr9npgLtAYA4NKU2p/ZkZGRkqTU1FSP7ampqda+yMhIHTp0yGN/bm6ujhw5YrUpiL+/v0JCQjwecE5O7qnix4deHwCADUpttomOjlZkZKSWLl1qbUtPT9e6desUGxsrSYqNjdXRo0e1ceNGq82yZcuUn5+vtm3b2h4zLk5u/qkx975epadLFABQdjl62SsjI0Pff/+99XzPnj369ttvVblyZdWuXVtDhgzRc889p4YNGyo6OlojR45UjRo1rBlhTZo0UdeuXfXggw9q0qRJysnJ0aBBg9SnT59Cz/SC83Lyfi9+6PkBANjA0eJnw4YNuvHGG63n7nE4CQkJmjJlioYPH67jx4+rf//+Onr0qDp06KBFixYpICDAes20adM0aNAgderUSV5eXurdu7cmTJhg+2fBxcvN47IXAMA+peY+P07iPj/OGvtZsiYs+173xtbRP29r7nQ4AIDLxMXmb35qw3E5v4/58fHi6wgAKHlkGzjOfdnL14cBzwCAkkfxA8dZA57p+QEA2IBsA8flWAOe6fkBAJQ8ih84Lpep7gAAG5Ft4Dj38ha+9PwAAGxA8QPHuXt+mO0FALAD2QaOc4/5oecHAGAHih84zj3bizs8AwDsQLaB43KtMT98HQEAJY9sA8ednu3FZS8AQMmj+IHjst33+WHAMwDABmQbOC6XmxwCAGxE8QPH5f6+sKkfY34AADYg28Bxp2d70fMDACh5FD9wXA5jfgAANiLbwHG53OQQAGAjih84LoeFTQEANiLbwHE5zPYCANiI4geOc8/2oucHAGAHsg0cd3rAMz0/AICSR/EDx+Uy5gcAYCOyDRyXk8fCpgAA+5Bt4ChjjDXmhwHPAAA7UPzAUe7CR5J8uckhAMAGZBs4yj3eR5J8fej5AQCUPIofOCr79/E+EstbAADsQbaBo3LPKH5Y3gIAYAeKHzjKPebH28sll4viBwBQ8ih+4KgcFjUFANiM4geOshY1ZbwPAMAmZBw4KpdFTQEANqP4gaPcPT8+3N0ZAGATMg4clZt/qufHj+IHAGATMg4clcNlLwCAzSh+4CjrspcXxQ8AwB4UP3CUe3kLVnQHANiFjANHnb7PD19FAIA9yDhwVDY3OQQA2IziB47ishcAwG5kHDjKfdnLz4evIgDAHmQcOCqbMT8AAJuRceAoFjYFANiN4geOysml5wcAYC8yDhzlvskhy1sAAOxCxoGjslneAgBgM4ofOIqbHAIA7EbGgaMofgAAdiPjwFHWmB/u8wMAsAkZB47KzmWqOwDAXhQ/cBSXvQAAdiPjwFEUPwAAu5Fx4Khc7vMDALAZGQeOymZ5CwCAzSh+4CjrshezvQAANiHjwFHuqe6+XnwVAQD2KNUZJy8vTyNHjlR0dLQCAwNVv359PfvsszLGWG2MMRo1apSqV6+uwMBAxcXFadeuXQ5GjaI43fPDZS8AgD1KdfHz0ksvKSkpSa+++qp27Nihl156SWPGjNErr7xitRkzZowmTJigSZMmad26dQoODlaXLl2UmZnpYOQorGxWdQcA2MzH6QDO56uvvtJtt92m7t27S5Lq1q2rDz74QOvXr5d0qtdn/Pjxeuqpp3TbbbdJkt577z1FRERo3rx56tOnj2Oxo3CY6g4AsFupzjjt2rXT0qVL9d1330mSNm/erFWrVqlbt26SpD179iglJUVxcXHWa0JDQ9W2bVutWbPmnMfNyspSenq6xwPOyGGqOwDAZqW65+fJJ59Uenq6GjduLG9vb+Xl5en5559XfHy8JCklJUWSFBER4fG6iIgIa19BEhMT9cwzz5Rc4Cg0en4AAHYr1Rln5syZmjZtmqZPn65vvvlG7777rv7973/r3XffvaTjjhgxQmlpadZj//79xRQxior7/AAA7Faqe36eeOIJPfnkk9bYnRYtWmjv3r1KTExUQkKCIiMjJUmpqamqXr269brU1FS1bNnynMf19/eXv79/icaOwuE+PwAAu5XqjHPixAl5/eH+L97e3srPP5Uwo6OjFRkZqaVLl1r709PTtW7dOsXGxtoaKy5OTi5jfgAA9irVPT+33nqrnn/+edWuXVvNmjXTpk2bNHbsWN1///2SJJfLpSFDhui5555Tw4YNFR0drZEjR6pGjRrq2bOns8GjUBjzAwCwW6kufl555RWNHDlSjzzyiA4dOqQaNWrooYce0qhRo6w2w4cP1/Hjx9W/f38dPXpUHTp00KJFixQQEOBg5Cgs95gfH8b8AABs4jJn3i65nEpPT1doaKjS0tIUEhLidDjlSpORi3QyJ09fDr9RUZWDnA4HAHAZudj8zbUGOIrLXgAAu5Fx4Jj8fKPc/N8XNuWyFwDAJhQ/cEzO77P2JKa6AwDsQ8aBY9xLW0hMdQcA2IeMA8fk5J7R80PxAwCwCRkHjnEPdvZySd5ejPkBANiD4geOyWamFwDAAWQdOMY95ofxPgAAO5F14Jgc7u4MAHAAxQ8ck53rLn74GgIA7EPWgWOsGxwy2BkAYCOKHzgmL5+eHwCA/cg6cIx7wDNjfgAAdqL4gWNy89yXvfgaAgDsQ9aBY3Lyme0FALAfxQ8ck2td9uJrCACwD1kHjsl13+GZ2V4AABtR/MAxOfkMeAYA2I/iB47JZW0vAIADyDpwjDXmh8teAAAbUfzAMTnc5BAA4ACyDhxj3eeHMT8AABtR/MAx1qru3OQQAGAjsg4ck8tsLwCAAyh+4JjT9/nhawgAsA9ZB45x9/x40/MDALARxQ8cc3phU4ofAIB9KH7gGKa6AwCcQNaBY04vbErPDwDAPhQ/cAwDngEATiDrwDEsbAoAcALFDxzDwqYAACeQdeAYFjYFADiB4geOOX3Zi68hAMA+ZB045vRlL3p+AAD2ofiBY3Ksy158DQEA9iHrwDG51k0O6fkBANiH4geOsZa3oPgBANiI4geOyfl9zA+XvQAAdiLrwDF5+fT8AADsR/EDx1hT3en5AQDYiKwDx7inunvT8wMAsBHFDxxjDXim5wcAYCOyDhyTw1R3AIADKH7gGKa6AwCcQPEDx+Qy1R0A4ACyDhxzemFTen4AAPah+IFjTi9sytcQAGAfsg4ck2stbErPDwDAPhQ/cIx7thc9PwAAO5F14Bir54cxPwAAG1H8wBHGGOWyvAUAwAGXnHWysrKKIw6UM+7CR+I+PwAAexW5+Pn000+VkJCgevXqydfXV0FBQQoJCVHHjh31/PPP6+effy6JOFHGuC95SZIPY34AADYqdNaZO3eurrjiCt1///3y8fHR3/72N82ZM0eLFy/WW2+9pY4dO+rzzz9XvXr1NGDAAB0+fLgk48ZlLvf3wc4Ss70AAPbyKWzDMWPGaNy4cerWrZu8Chijceedd0qSDhw4oFdeeUVTp07V0KFDiy9SlCln9vww2wsAYKdCZ501a9aoe/fuBRY+Z6pZs6ZefPHFYit8Dhw4oL59+6pKlSoKDAxUixYttGHDBmu/MUajRo1S9erVFRgYqLi4OO3atatY3hslxz3N3eWSvOn5AQDYqFh+ch8/flzp6enFcSgPv/32m9q3by9fX199+umn2r59u/7zn/+oUqVKVpsxY8ZowoQJmjRpktatW6fg4GB16dJFmZmZxR4Pig83OAQAOOWSip/t27crJiZGFStWVKVKlc7qlblUL730kqKiojR58mRdc801io6OVufOnVW/fn1Jp3p9xo8fr6eeekq33XabrrzySr333nv6+eefNW/evGKLA8XvdPHDJS8AgL0uKfM89NBDGjRokDIyMvTrr7/q9ttvV0JCQnHFpvnz5ysmJkZ33HGHwsPD1apVK7355pvW/j179iglJUVxcXHWttDQULVt21Zr1qw553GzsrKUnp7u8YC93Je9uMEhAMBuRSp+brvtNh04cMB6fvjwYfXo0UNBQUEKCwvTzTffrNTU1GILbvfu3UpKSlLDhg21ePFiPfzww3rsscf07rvvSpJSUlIkSRERER6vi4iIsPYVJDExUaGhodYjKiqq2GJG4bh7fhjsDACwW5EyT9++fXXTTTdpwoQJMsZo0KBBatasmfr06aPevXura9euGjJkSLEFl5+fr9atW+uFF15Qq1at1L9/fz344IOaNGnSJR13xIgRSktLsx779+8vpohRWDm/r+jOmB8AgN2KVPzccccdWr9+vbZv365rr71W7du312effab27dvruuuu02effaannnqq2IKrXr26mjZt6rGtSZMm2rdvnyQpMjJSks7qbUpNTbX2FcTf318hISEeD9jLfYdnen4AAHYr9H1+3EJDQzVp0iStWrVKCQkJ+tOf/qRnn31WQUFBxR5c+/btlZyc7LHtu+++U506dSRJ0dHRioyM1NKlS9WyZUtJUnp6utatW6eHH3642ONB8cnNY8wPAMAZRf7ZfeTIEW3cuFEtWrTQxo0bFRISolatWmnhwoXFHtzQoUO1du1avfDCC/r+++81ffp0vfHGGxo4cKAkyeVyaciQIXruuec0f/58bdmyRffee69q1Kihnj17Fns8KD45THUHADikSMXP9OnTVatWLXXv3l116tTRp59+qtGjR+ujjz7SmDFjdOeddxbrgOerr75ac+fO1QcffKDmzZvr2Wef1fjx4xUfH2+1GT58uB599FH1799fV199tTIyMrRo0SIFBAQUWxwofu7lLbjsBQCwm8sYYy7c7JQ6deropZdeUp8+fbRx40bdf//92rx5s7X/zTffVGJionbv3l0iwZaU9PR0hYaGKi0tjfE/Nlm+85Dum/K1mtcM0cePXud0OACAy9DF5u8i/ezOyMhQo0aNJEn169fXiRMnPPY/+OCDWrt2bVEOiXLq9Gwven4AAPYq0oDnhIQEde/eXTfccIM2bNige+6556w24eHhxRYcyq48a7YXY34AAPYqUvEzduxY3Xjjjdq5c6f69eunzp07l1RcKONy8lneAgDgjCJPdb/11lt16623lkQsKEeY6g4AcEqhf3bPmDGj0Afdv3+/Vq9efVEBoXxgeQsAgFMKnXmSkpLUpEkTjRkzRjt27Dhrf1pamhYuXKj/+7//U+vWrfXrr78Wa6AoW6yFTbnPDwDAZoW+7LVixQrNnz9fr7zyikaMGKHg4GBFREQoICBAv/32m1JSUlS1alX169dPW7duPWuxUeBM7p4fLnsBAOxWpDE/PXr0UI8ePfTLL79o1apV2rt3r06ePKmqVauqVatWatWqlbwYwIpCYKo7AMApRR7wLElVq1Zl+QhcEvfCpvT8AADsxs9uOMI928uXnh8AgM3IPHBEDmN+AAAOofiBI1jYFADgFDIPHGHN9mKqOwDAZpdc/BhjVISF4QFJZ172ov4GANjrojPPe++9pxYtWigwMFCBgYG68sor9f777xdnbCjDTl/2oucHAGCvi5rqPnbsWI0cOVKDBg1S+/btJUmrVq3SgAED9Msvv2jo0KHFGiTKnlwWNgUAOOSiip9XXnlFSUlJuvfee61tPXr0ULNmzfT0009T/OCCWNgUAOCUi/rZffDgQbVr1+6s7e3atdPBgwcvOSiUfacXNqX4AQDY66KKnwYNGmjmzJlnbf/www/VsGHDSw4KZV8Ol70AAA65qMtezzzzjO666y6tXLnSGvOzevVqLV26tMCiCPgj6w7P9PwAAGx2UT+7e/furXXr1qlq1aqaN2+e5s2bp6pVq2r9+vXq1atXcceIMoip7gAAp1xUz48ktWnTRlOnTi3OWFCOuKe6c5NDAIDdCl38pKenKyQkxPr3+bjbAeeSy9peAACHFLr4qVSpkg4ePKjw8HCFhYXJ5To7aRlj5HK5lJeXV6xBouzJcU91Z8AzAMBmhS5+li1bpsqVK0uSli9fXmIBoXxw3+SQAc8AALsVuvjp2LGj9e/o6GhFRUWd1ftjjNH+/fuLLzqUWbn0/AAAHHJRmSc6OlqHDx8+a/uRI0cUHR19yUGh7MthzA8AwCEXVfy4x/b8UUZGhgICAi45KJR9pxc2pecHAGCvIk11HzZsmCTJ5XJp5MiRCgoKsvbl5eVp3bp1atmyZbEGiLLJmu3FVHcAgM2KVPxs2rRJ0qmeny1btsjPz8/a5+fnp6uuukp//etfizdClEnWqu70/AAAbFak4sc9y+u+++7Tyy+/zP18cNFY3gIA4JSLusPz5MmTizsOlDMsbAoAcMpFL2+xYcMGzZw5U/v27VN2drbHvjlz5lxyYCjb6PkBADjlon52z5gxQ+3atdOOHTs0d+5c5eTkaNu2bVq2bJlCQ0OLO0aUQbksbAoAcMhFZZ4XXnhB48aN04IFC+Tn56eXX35ZO3fu1J133qnatWsXd4wog3JY2BQA4JCLKn5++OEHde/eXdKpWV7Hjx+Xy+XS0KFD9cYbbxRrgCib3D0/3OcHAGC3i8o8lSpV0rFjxyRJNWvW1NatWyVJR48e1YkTJ4ovOpRJxpgzprrT8wMAsNdFDXi+/vrrtWTJErVo0UJ33HGHBg8erGXLlmnJkiXq1KlTcceIMsZd+EiSL7O9AAA2u6ji59VXX1VmZqYk6R//+Id8fX311VdfqXfv3nrqqaeKNUCUPe5LXpLkTc8PAMBmF1X8VK5c2fq3l5eXnnzySev5yZMnLz0qlGnuwc4SA54BAPYrtmsOWVlZGjt2LKu644LO7PlhwDMAwG5FyjxZWVkaMWKEYmJi1K5dO82bN0/SqTs+R0dHa9y4cRo6dGhJxIkyxH2DQ5dL8qbnBwBgsyJd9ho1apRef/11xcXF6auvvtIdd9yh++67T2vXrtXYsWN1xx13yNvbu6RiRRnhXtqCwc4AACcUqfiZNWuW3nvvPfXo0UNbt27VlVdeqdzcXG3evFkuF7/gUTh5eUxzBwA4p0g/vX/66Se1adNGktS8eXP5+/tr6NChFD4oEu7uDABwUpGKn7y8PPn5+VnPfXx8VKFChWIPCmUbd3cGADipSJe9jDHq16+f/P39JUmZmZkaMGCAgoODPdqxqjvOJ+f3Ac9c9gIAOKFIxU9CQoLH8759+xZrMCgfrKUtGPAMAHBAkYqfyZMnl1QcKEfcU9196fkBADiAn96wXY4124uvHwDAfmQf2C6X2V4AAAdR/MB2zPYCADiJ7APbMdsLAOAkih/YLpflLQAADir0bK/58+cX+qA9evS4qGBQPrh7fljUFADghEIXPz179ixUO5fLpby8vIuNB+VALmt7AQAcVOjrDvn5+YV6lGTh8+KLL8rlcmnIkCHWtszMTA0cOFBVqlRRhQoV1Lt3b6WmppZYDLh07tleDHgGADjhssk+X3/9tV5//XVdeeWVHtuHDh2qBQsWaNasWVqxYoV+/vln3X777Q5FicI4fYdnen4AAPYr9GWvCRMmFPqgjz322EUFcy4ZGRmKj4/Xm2++qeeee87anpaWprffflvTp0/XTTfdJOnUXaibNGmitWvX6tprry3WOFA8mOoOAHBSoYufcePGFaqdy+Uq9uJn4MCB6t69u+Li4jyKn40bNyonJ0dxcXHWtsaNG6t27dpas2YNxU8plcPyFgAABxW6+NmzZ09JxnFOM2bM0DfffKOvv/76rH0pKSny8/NTWFiYx/aIiAilpKSc85hZWVnKysqynqenpxdbvLiwrNxTxY+fDz0/AAD7lerss3//fg0ePFjTpk1TQEBAsR03MTFRoaGh1iMqKqrYjo0Ly6b4AQA4qNA9P8OGDdOzzz6r4OBgDRs27Lxtx44de8mBSacuax06dEitW7e2tuXl5WnlypV69dVXtXjxYmVnZ+vo0aMevT+pqamKjIw853FHjBjh8RnS09MpgGx0+rIXxQ8AwH6FLn42bdqknJwc69/n4nIV3ziOTp06acuWLR7b7rvvPjVu3Fh/+9vfFBUVJV9fXy1dulS9e/eWJCUnJ2vfvn2KjY0953H9/f3l7+9fbHGiaOj5AQA4qdDFz/Lly7V7926FhoZq+fLlJRmTpWLFimrevLnHtuDgYFWpUsXa/sADD2jYsGGqXLmyQkJC9Oijjyo2NpbBzqVY9u89P/70/AAAHFCk7NOwYUMdPnzYen7XXXc5fkPBcePG6ZZbblHv3r11/fXXKzIyUnPmzHE0JpwfPT8AACcVuudHkowxHs8XLlyoxMTEYg3oQr744guP5wEBAZo4caImTpxoaxy4eO7ihzE/AAAnkH1gO/dlL3p+AABOKFL2cblcZw1oLs4BzigfuOwFAHBSkS979evXz5oplZmZqQEDBig4ONijHWNucD5Wzw+XvQAADihS8ZOQkODxvG/fvsUaDMoHen4AAE4qUvEzefLkkooD5UgOPT8AAAeRfWA7en4AAE4i+8B2LGwKAHAS2Qe2Y8AzAMBJZB/YzrrJIT0/AAAHkH1gOwY8AwCcRPaB7dw9P/70/AAAHED2ge2Y7QUAcBLZB7ZzD3hmYVMAgBPIPrCVMUY5eUYSPT8AAGeQfWArd6+PRPEDAHAG2Qe2co/3kZjtBQBwBtkHtqL4AQA4jewDW7nH+/h4ueTl5XI4GgBAeUTxA1sxzR0A4DQyEGyVnZcnieIHAOAcMhBsZa3ozngfAIBDyECwlbWoKcUPAMAhZCDYyj3gmXW9AABOIQPBVgx4BgA4jQwEWzHgGQDgNDIQbMWYHwCA08hAsFW2e1FTih8AgEPIQLAVY34AAE4jA8FWFD8AAKeRgWCr7FwGPAMAnEUGgq2y87jDMwDAWWQg2CqHAc8AAIeRgWCrLMb8AAAcRgaCrRjwDABwGhkItuImhwAAp5GBYKucPHp+AADOIgPBVu6eH1Z1BwA4hQwEWzHVHQDgNDIQbMWAZwCA08hAsJW754cBzwAAp5CBYCt6fgAATiMDwVYUPwAAp5GBYCsGPAMAnEYGgq1O9/y4HI4EAFBeUfzAVlm5eZKkAB9vhyMBAJRXFD+wlXthU39fih8AgDMofmCrzJxTPT/c4RkA4BQyEGzl7vkJ8OWrBwBwBhkItsrKca/txWUvAIAzKH5gG2OMMn8f8OxPzw8AwCFkINgmJ8/ImFP/pucHAOAUih/Yxj3NXWLMDwDAOWQg2Cbz9/E+End4BgA4hwwE27h7fvx9vORycYdnAIAzKH5gm9PT3BnvAwBwDsUPbMMNDgEApUGpzkKJiYm6+uqrVbFiRYWHh6tnz55KTk72aJOZmamBAweqSpUqqlChgnr37q3U1FSHIsb5nF7aolR/7QAAZVypzkIrVqzQwIEDtXbtWi1ZskQ5OTnq3Lmzjh8/brUZOnSoFixYoFmzZmnFihX6+eefdfvttzsYNc7FfYNDFjUFADjJx+kAzmfRokUez6dMmaLw8HBt3LhR119/vdLS0vT2229r+vTpuummmyRJkydPVpMmTbR27Vpde+21ToSNc+AGhwCA0uCyykJpaWmSpMqVK0uSNm7cqJycHMXFxVltGjdurNq1a2vNmjWOxIhzY2kLAEBpUKp7fs6Un5+vIUOGqH379mrevLkkKSUlRX5+fgoLC/NoGxERoZSUlHMeKysrS1lZWdbz9PT0EokZntxT3bnBIQDASZdNFho4cKC2bt2qGTNmXPKxEhMTFRoaaj2ioqKKIUJciDXgmZ4fAICDLoviZ9CgQfr444+1fPly1apVy9oeGRmp7OxsHT161KN9amqqIiMjz3m8ESNGKC0tzXrs37+/pELHGbKY6g4AKAVKdRYyxmjQoEGaO3euli1bpujoaI/9bdq0ka+vr5YuXWptS05O1r59+xQbG3vO4/r7+yskJMTjgZLHTQ4BAKVBqR7zM3DgQE2fPl0fffSRKlasaI3jCQ0NVWBgoEJDQ/XAAw9o2LBhqly5skJCQvToo48qNjaWmV6l0OnLXqW65gYAlHGluvhJSkqSJN1www0e2ydPnqx+/fpJksaNGycvLy/17t1bWVlZ6tKli1577TWbI0VhcIdnAEBpUKqLH2PMBdsEBARo4sSJmjhxog0R4VJw2QsAUBrwExy2YcAzAKA0IAvBNpnumxzS8wMAcBDFD2zjvskhPT8AACeRhWCb06u60/MDAHAOxQ9sw2wvAEBpQBaCbZjtBQAoDSh+YBtucggAKA3IQrANl70AAKUBWQi24bIXAKA0oPiBbZjqDgAoDchCsI11k0Mfen4AAM6h+IFt3MtbBPjytQMAOIcsBNtwk0MAQGlA8QNbGGOY6g4AKBXIQrCFu/CRmO0FAHAWxQ9scWbxQ88PAMBJZCHYwj3Y2csl+Xi5HI4GAFCeUfzAFqfH+3jL5aL4AQA4h+IHtjienStJCvb3cTgSAEB5R/EDWxzLPFX8VAyg+AEAOIviB7bI+L34qUDPDwDAYRQ/sMWxLHp+AAClA8UPbEHPDwCgtKD4gS2OZeZIkirQ8wMAcBjFD2yR4b7sRc8PAMBhFD+wxenZXr4ORwIAKO8ofmCLXzKyJElhQRQ/AABnUfzAFqnpmZKkyNAAhyMBAJR3FD+wRYq7+Amh+AEAOIviByUuP98oNf3UZa8Iih8AgMMoflCijDF6eekuZefmK9jPm+IHAOA45h2jROTm5Wv9niN6adFObf4pTZI08pam8vOh3gYAOIviB8Xq8LEsvfjpTn22LcVa0sLfx0t/7dxId10d5XB0AABQ/KCYGGP00bc/6+kF23T0xO93c/b3Udfmkfpb18aqVtHf4QgBADiF4geXLCUtU/+Yu0VLdx6SJDWtHqJnbmum1rUrydvL5XB0AAB4ovjBRTHGaPvBdC3YfFDvr/lRx7Pz5Oftpcc6NdBDHevL15uxPQCA0oniB0W25ac0DZv5rXYdyrC2ta4dppd6X6mGERUdjAwAgAuj+EGh7T9yQi8v3aW5mw4oL98owNdLN1wRrp6taqhz00h5cYkLAHAZoPjBBe379YSSVvyg2Rv3KyfPSJJubhGpxF5XKpS1ugAAlxmKHxTIGKNdhzL09pd7NPubn5SXf6roaV07TKNubaaWUWHOBggAwEWi+MFZfjicodEfbdOq73+xtl1/RTU9eF202tWvygwuAMBljeIHkqQjx7P1RfIhvbFyt3amHLO2d24aoYc61lebOpUcjA4AgOJD8VOOpaZn6rPtqXr3qx/1/Rkzt3y8XLr+imoa3rWRGkeGOBghAADFj+KnnDHGaOmOQ3rjy936+scjMub0vnrVgtWrZU3dE1tHYUF+zgUJAEAJovgpJ/Lyjaau3avp6/YpOfX0Za2WUWH6U9MI/d81tVUpmIIHAFD2UfyUcYeOZerz7Yc0e+N+fbPvqCQpwNdL/dpF697YOqoRFuhsgAAA2IzipwzKys3TF8mH9cbK3dq49zdre6Cvt57o0ki9W9fi/jwAgHKL4qcMyc83mrZ+n8Ys2qljmbnW9qtqhapzs0j1uKqGoioHORghAADOo/gpA37JyNJ/N/6kGV/v155fjkuSwiv6q1frmrq/fbQiQgIcjhAAgNKD4ucy9v2hYxr/+S4t3pZiLTtR0d9Hg+Ma6v720ay1BQBAASh+LjM5efn6fHuqZm38SSu+O2wtO3FVrVD9X9vauuXKGgr2588KAMC5kCUvA8YYrd9zRAv+97M+3ZKiX49nW/vimkRoSFxDNa8Z6mCEAABcPih+SjFjjOZuOqBXln1vjeWRpGoV/XVHm1q6vXUtNQiv4GCEAABcfih+SqmvfzyiFz/daU1VD/bzVrcW1dXjqhpqV7+KfLy9HI4QAIDLE8VPKZKXb7Rke4pmbvhJy3YekiT5+XhpcKeG6teuLmN5AAAoBmTTUiDtZI4+/Hqf3v1qrw4cPSlJcrmku2Ki9GinhqrJXZgBACg2FD8O+uFwhqas/lH//eYnncjOkyRVCvJVn2tqq3frmmoQXtHhCAEAKHvKTPEzceJE/etf/1JKSoquuuoqvfLKK7rmmmucDusseflGXyQf0rtr9mrld4et7Y0iKuq+9nXVs1VNBfh6OxghAABlW5kofj788EMNGzZMkyZNUtu2bTV+/Hh16dJFycnJCg8Pdzo8SdLhY1n6YP0+zVi/Tz+nZUo6dWmrU+Nw3d8+WrH1q8jl4qaEAACUNJcxxjgdxKVq27atrr76ar366quSpPz8fEVFRenRRx/Vk08+ecHXp6enKzQ0VGlpaQoJCSm2uHLy8vXlrsOau+lnLdp60LoLc1iQr/7cupbuja2r2lVYawsAgItxsfn7su/5yc7O1saNGzVixAhrm5eXl+Li4rRmzZoCX5OVlaWsrCzreXp6erHHlZmTp+vGLNfhY6ffp3XtMN0bW1ddm0dyaQsAAIdc9sXPL7/8ory8PEVERHhsj4iI0M6dOwt8TWJiop555pkSjSvA11vNa4Roy4F03XpVdd3eqpZa1OIuzAAAOO2yL34uxogRIzRs2DDreXp6uqKioor9fcb8+SpVCvLlhoQAAJQil33xU7VqVXl7eys1NdVje2pqqiIjIwt8jb+/v/z9/Us8tmoVS/49AABA0Vz2XRJ+fn5q06aNli5dam3Lz8/X0qVLFRsb62BkAACgNLrse34kadiwYUpISFBMTIyuueYajR8/XsePH9d9993ndGgAAKCUKRPFz1133aXDhw9r1KhRSklJUcuWLbVo0aKzBkEDAACUifv8XKqSus8PAAAoORebvy/7MT8AAABFQfEDAADKFYofAABQrlD8AACAcoXiBwAAlCsUPwAAoFyh+AEAAOUKxQ8AAChXKH4AAEC5UiaWt7hU7ptcp6enOxwJAAAoLHfeLupiFRQ/ko4dOyZJioqKcjgSAABQVMeOHVNoaGih27O2l6T8/Hz9/PPPqlixolwuV7EdNz09XVFRUdq/fz9rhpUgzrN9ONf24Dzbg/Nsn5I618YYHTt2TDVq1JCXV+FH8tDzI8nLy0u1atUqseOHhITwH5YNOM/24Vzbg/NsD86zfUriXBelx8eNAc8AAKBcofgBAADlCsVPCfL399fo0aPl7+/vdChlGufZPpxre3Ce7cF5tk9pO9cMeAYAAOUKPT8AAKBcofgBAADlCsUPAAAoVyh+AABAuULxU4ImTpyounXrKiAgQG3bttX69eudDqnUSExM1NVXX62KFSsqPDxcPXv2VHJyskebzMxMDRw4UFWqVFGFChXUu3dvpaamerTZt2+funfvrqCgIIWHh+uJJ55Qbm6uR5svvvhCrVu3lr+/vxo0aKApU6acFU95+Vu9+OKLcrlcGjJkiLWN81w8Dhw4oL59+6pKlSoKDAxUixYttGHDBmu/MUajRo1S9erVFRgYqLi4OO3atcvjGEeOHFF8fLxCQkIUFhamBx54QBkZGR5t/ve//+m6665TQECAoqKiNGbMmLNimTVrlho3bqyAgAC1aNFCCxcuLJkPbbO8vDyNHDlS0dHRCgwMVP369fXss896rOvEeb44K1eu1K233qoaNWrI5XJp3rx5HvtL03ktTCwXZFAiZsyYYfz8/Mw777xjtm3bZh588EETFhZmUlNTnQ6tVOjSpYuZPHmy2bp1q/n222/NzTffbGrXrm0yMjKsNgMGDDBRUVFm6dKlZsOGDebaa6817dq1s/bn5uaa5s2bm7i4OLNp0yazcOFCU7VqVTNixAirze7du01QUJAZNmyY2b59u3nllVeMt7e3WbRokdWmvPyt1q9fb+rWrWuuvPJKM3jwYGs75/nSHTlyxNSpU8f069fPrFu3zuzevdssXrzYfP/991abF1980YSGhpp58+aZzZs3mx49epjo6Ghz8uRJq03Xrl3NVVddZdauXWu+/PJL06BBA3P33Xdb+9PS0kxERISJj483W7duNR988IEJDAw0r7/+utVm9erVxtvb24wZM8Zs377dPPXUU8bX19ds2bLFnpNRgp5//nlTpUoV8/HHH5s9e/aYWbNmmQoVKpiXX37ZasN5vjgLFy40//jHP8ycOXOMJDN37lyP/aXpvBYmlguh+Ckh11xzjRk4cKD1PC8vz9SoUcMkJiY6GFXpdejQISPJrFixwhhjzNGjR42vr6+ZNWuW1WbHjh1GklmzZo0x5tR/rF5eXiYlJcVqk5SUZEJCQkxWVpYxxpjhw4ebZs2aebzXXXfdZbp06WI9Lw9/q2PHjpmGDRuaJUuWmI4dO1rFD+e5ePztb38zHTp0OOf+/Px8ExkZaf71r39Z244ePWr8/f3NBx98YIwxZvv27UaS+frrr602n376qXG5XObAgQPGGGNee+01U6lSJeu8u9+7UaNG1vM777zTdO/e3eP927Ztax566KFL+5ClQPfu3c3999/vse3222838fHxxhjOc3H5Y/FTms5rYWIpDC57lYDs7Gxt3LhRcXFx1jYvLy/FxcVpzZo1DkZWeqWlpUmSKleuLEnauHGjcnJyPM5h48aNVbt2bescrlmzRi1atFBERITVpkuXLkpPT9e2bdusNmcew93GfYzy8rcaOHCgunfvfta54DwXj/nz5ysmJkZ33HGHwsPD1apVK7355pvW/j179iglJcXj84eGhqpt27Ye5zksLEwxMTFWm7i4OHl5eWndunVWm+uvv15+fn5Wmy5duig5OVm//fab1eZ8f4vLWbt27bR06VJ99913kqTNmzdr1apV6tatmyTOc0kpTee1MLEUBsVPCfjll1+Ul5fnkSwkKSIiQikpKQ5FVXrl5+dryJAhat++vZo3by5JSklJkZ+fn8LCwjzannkOU1JSCjzH7n3na5Oenq6TJ0+Wi7/VjBkz9M033ygxMfGsfZzn4rF7924lJSWpYcOGWrx4sR5++GE99thjevfddyWdPk/n+/wpKSkKDw/32O/j46PKlSsXy9+iLJznJ598Un369FHjxo3l6+urVq1aaciQIYqPj5fEeS4ppem8FiaWwmBVdzhu4MCB2rp1q1atWuV0KGXO/v37NXjwYC1ZskQBAQFOh1Nm5efnKyYmRi+88IIkqVWrVtq6dasmTZqkhIQEh6MrO2bOnKlp06Zp+vTpatasmb799lsNGTJENWrU4DyjSOj5KQFVq1aVt7f3WTNmUlNTFRkZ6VBUpdOgQYP08ccfa/ny5apVq5a1PTIyUtnZ2Tp69KhH+zPPYWRkZIHn2L3vfG1CQkIUGBhY5v9WGzdu1KFDh9S6dWv5+PjIx8dHK1as0IQJE+Tj46OIiAjOczGoXr26mjZt6rGtSZMm2rdvn6TT5+l8nz8yMlKHDh3y2J+bm6sjR44Uy9+iLJznJ554wur9adGihe655x4NHTrU6tXkPJeM0nReCxNLYVD8lAA/Pz+1adNGS5cutbbl5+dr6dKlio2NdTCy0sMYo0GDBmnu3LlatmyZoqOjPfa3adNGvr6+HucwOTlZ+/bts85hbGystmzZ4vEf3JIlSxQSEmIlotjYWI9juNu4j1HW/1adOnXSli1b9O2331qPmJgYxcfHW//mPF+69u3bn3Wrhu+++0516tSRJEVHRysyMtLj86enp2vdunUe5/no0aPauHGj1WbZsmXKz89X27ZtrTYrV65UTk6O1WbJkiVq1KiRKlWqZLU539/icnbixAl5eXmmLW9vb+Xn50viPJeU0nReCxNLoRR6aDSKZMaMGcbf399MmTLFbN++3fTv39+EhYV5zJgpzx5++GETGhpqvvjiC3Pw4EHrceLECavNgAEDTO3atc2yZcvMhg0bTGxsrImNjbX2u6dgd+7c2Xz77bdm0aJFplq1agVOwX7iiSfMjh07zMSJEwucgl2e/lZnzvYyhvNcHNavX298fHzM888/b3bt2mWmTZtmgoKCzNSpU602L774ogkLCzMfffSR+d///mduu+22AqcKt2rVyqxbt86sWrXKNGzY0GOq8NGjR01ERIS55557zNatW82MGTNMUFDQWVOFfXx8zL///W+zY8cOM3r06Mt6CvaZEhISTM2aNa2p7nPmzDFVq1Y1w4cPt9pwni/OsWPHzKZNm8ymTZuMJDN27FizadMms3fvXmNM6TqvhYnlQih+StArr7xiateubfz8/Mw111xj1q5d63RIpYakAh+TJ0+22pw8edI88sgjplKlSiYoKMj06tXLHDx40OM4P/74o+nWrZsJDAw0VatWNY8//rjJycnxaLN8+XLTsmVL4+fnZ+rVq+fxHm7l6W/1x+KH81w8FixYYJo3b278/f1N48aNzRtvvOGxPz8/34wcOdJEREQYf39/06lTJ5OcnOzR5tdffzV33323qVChggkJCTH33XefOXbsmEebzZs3mw4dOhh/f39Ts2ZN8+KLL54Vy8yZM80VV1xh/Pz8TLNmzcwnn3xS/B/YAenp6Wbw4MGmdu3aJiAgwNSrV8/84x//8Jg6zXm+OMuXLy/w/8kJCQnGmNJ1XgsTy4W4jDnj1pgAAABlHGN+AABAuULxAwAAyhWKHwAAUK5Q/AAAgHKF4gcAAJQrFD8AAKBcofgBAADlCsUPgMvGjz/+KJfLpW+//bbE3qNfv37q2bNniR0fgPMofgDYpl+/fnK5XGc9unbtWqjXR0VF6eDBg2revHkJRwqgLPNxOgAA5UvXrl01efJkj23+/v6Feq23t3eZXDUbgL3o+QFgK39/f0VGRno83Cs6u1wuJSUlqVu3bgoMDFS9evU0e/Zs67V/vOz122+/KT4+XtWqVVNgYKAaNmzoUVht2bJFN910kwIDA1WlShX1799fGRkZ1v68vDwNGzZMYWFhqlKlioYPH64/rviTn5+vxMRERUdHKzAwUFdddZVHTBeKAUDpQ/EDoFQZOXKkevfurc2bNys+Pl59+vTRjh07ztl2+/bt+vTTT7Vjxw4lJSWpatWqkqTjx4+rS5cuqlSpkr7++mvNmjVLn3/+uQYNGmS9/j//+Y+mTJmid955R6tWrdKRI0c0d+5cj/dITEzUe++9p0mTJmnbtm0aOnSo+vbtqxUrVlwwBgClVJGWQQWAS5CQkGC8vb1NcHCwx+P55583xhgjyQwYMMDjNW3btjUPP/ywMcaYPXv2GElm06ZNxhhjbr31VnPfffcV+F5vvPGGqVSpksnIyLC2ffLJJ8bLy8ukpKQYY4ypXr26GTNmjLU/JyfH1KpVy9x2223GGGMyMzNNUFCQ+eqrrzyO/cADD5i77777gjEAKJ0Y8wPAVjfeeKOSkpI8tlWuXNn6d2xsrMe+2NjYc87uevjhh9W7d29988036ty5s3r27Kl27dpJknbs2KGrrrpKwcHBVvv27dsrPz9fycnJCggI0MGDB9W2bVtrv4+Pj2JiYqxLX99//71OnDihP/3pTx7vm52drVatWl0wBgClE8UPAFsFBwerQYMGxXKsbt26ae/evVq4cKGWLFmiTp06aeDAgfr3v/9dLMd3jw/65JNPVLNmTY997kHaJR0DgOLHmB8ApcratWvPet6kSZNztq9WrZoSEhI0depUjR8/Xm+88YYkqUmTJtq8ebOOHz9utV29erW8vLzUqFEjhYaGqnr16lq3bp21Pzc3Vxs3brSeN23aVP7+/tq3b58aNGjg8YiKirpgDABKJ3p+ANgqKytLKSkpHtt8fHysQcKzZs1STEyMOnTooGnTpmn9+vV6++23CzzWqFGj1KZNGzVr1kxZWVn6+OOPrUIpPj5eo0ePVkJCgp5++mkdPnxYjz76qO655x5FRERIkgYPHqwXX3xRDRs2VOPGjTV27FgdPXrUOn7FihX117/+VUOHDlV+fr46dOigtLQ0rV69WiEhIUpISDhvDABKJ4ofALZatGiRqlev7rGtUaNG2rlzpyTpmWee0YwZM/TII4+oevXq+uCDD9S0adMCj+Xn56cRI0boxx9/VGBgoK677jrNmDFDkhQUFKTFixdr8ODBuvrqqxUUFKTevXtr7Nix1usff/xxHTx4UAkJCfLy8tL999+vXr16KS0tzWrz7LPPqlq1akpMTNTu3bsVFham1q1b6+9///sFYwBQOrmM+cNNLQDAIS6XS3PnzmV5CQAlijE/AACgXKH4AQAA5QpjfgCUGlyFB2AHen4AAEC5QvEDAADKFYofAABQrlD8AACAcoXiBwAAlCsUPwAAoFyh+AEAAOUKxQ8AAChXKH4AAEC58v8u9JRA0imRYwAAAABJRU5ErkJggg==",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -5483,8 +11782,8 @@
     "if len(fill_rates) > 0:\n",
     "    plt.figure()\n",
     "    plt.title(f\"Replay buffer fill ratio (K = {order})\")\n",
-    "    plt.plot(episodes, fill_rates, label=\"Fill Ratio\")\n",
-    "    plt.xlabel(\"Episodes\")\n",
+    "    plt.semilogx(episodes, fill_rates, label=\"Fill Ratio\")\n",
+    "    plt.xlabel(\"Training episodes\")\n",
     "    plt.ylabel(\"Fill Ratio (%)\")\n",
     "    plt.show()"
    ]
@@ -5502,15 +11801,43878 @@
    "execution_count": null,
    "id": "31",
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "# TODO: add coverage map visualization"
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.plotly.v1+json": {
+       "config": {
+        "plotlyServerURL": "https://plot.ly"
+       },
+       "data": [
+        {
+         "marker": {
+          "color": "#636EFA"
+         },
+         "mode": "markers+text",
+         "scene": "scene",
+         "showlegend": false,
+         "text": "tx",
+         "type": "scatter3d",
+         "x": [
+          0
+         ],
+         "y": [
+          0
+         ],
+         "z": [
+          32
+         ]
+        },
+        {
+         "facecolor": [
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+          "plot_bgcolor": "#E5ECF6",
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+            "ticks": ""
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+           "gridcolor": "white",
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+           "title": {
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",
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+       "                            \n",
+       "var gd = document.getElementById('ca29d838-5a5a-41a8-a08b-ab1009126720');\n",
+       "var x = new MutationObserver(function (mutations, observer) {{\n",
+       "        var display = window.getComputedStyle(gd).display;\n",
+       "        if (!display || display === 'none') {{\n",
+       "            console.log([gd, 'removed!']);\n",
+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
+       "    x.observe(outputEl, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "                        })                };                });            </script>        </div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "def compute_cm(\n",
+    "    receivers: Float[Array, \"dim_x dim_y 3\"],\n",
+    "    base_scene: TriangleScene,\n",
+    "    model: Model,\n",
+    "    batch_size: int,\n",
+    "    key: PRNGKeyArray | None,\n",
+    ") -> Float[Array, \"dim_x dim_y\"]:\n",
+    "    # N.B.: we use sequential_vmap to avoid out-of-memory errors in the exhaustive case\n",
+    "    @jax.custom_batching.sequential_vmap\n",
+    "    def compute_cm_for_one_receiver(\n",
+    "        receiver: Float[Array, \"3\"],\n",
+    "    ) -> Float[Array, \"\"]:\n",
+    "        scene = eqx.tree_at(lambda s: s.receivers, base_scene, receiver)\n",
+    "        if key is not None:\n",
+    "            path_candidates = jax.vmap(lambda key: model(scene, key=key))(\n",
+    "                jr.split(key, batch_size)\n",
+    "            )\n",
+    "            paths = scene.compute_paths(path_candidates=path_candidates)\n",
+    "        else:\n",
+    "            paths = scene.compute_paths(order=model.order)\n",
+    "        r = path_lengths(paths.vertices)\n",
+    "        e = safe_divide(1.0, r)\n",
+    "        return jnp.log10((e * e).sum(where=paths.mask))\n",
+    "\n",
+    "    return jax.vmap(jax.vmap(compute_cm_for_one_receiver))(receivers)\n",
+    "\n",
+    "\n",
+    "trained_model = eqx.nn.inference_mode(agent.model)\n",
+    "\n",
+    "batch = (100, 100)\n",
+    "z0 = 0.5\n",
+    "base_scene = eqx.tree_at(\n",
+    "    lambda s: s.transmitters, BASE_SCENE, jnp.array([[0.0, 0.0, 32.0]])\n",
+    ")\n",
+    "receivers = base_scene.with_receivers_grid(*batch, height=z0).receivers\n",
+    "\n",
+    "# Only needed for plotting purposes\n",
+    "x, y, _ = jnp.unstack(receivers, axis=-1)\n",
+    "\n",
+    "fig = make_subplots(\n",
+    "    rows=1,\n",
+    "    cols=2,\n",
+    "    specs=[[{\"type\": \"scene\"}, {\"type\": \"scene\"}]],\n",
+    ")\n",
+    "\n",
+    "with reuse(figure=fig) as fig:\n",
+    "    base_scene.plot(\n",
+    "        tx_kwargs={\"marker_color\": \"#636EFA\"}, showlegend=False, row=1, col=1\n",
+    "    )\n",
+    "    base_scene.plot(\n",
+    "        tx_kwargs={\"marker_color\": \"#636EFA\"}, showlegend=False, row=1, col=2\n",
+    "    )\n",
+    "\n",
+    "    G_model = compute_cm(receivers, base_scene, trained_model, 10, jr.key(0))\n",
+    "    G_exhau = compute_cm(receivers, base_scene, trained_model, 0, None)\n",
+    "\n",
+    "    G_min = jnp.minimum(G_model.min(), G_exhau.min())\n",
+    "    G_max = jnp.maximum(G_model.max(), G_exhau.max())\n",
+    "\n",
+    "    draw_image(\n",
+    "        G_model,\n",
+    "        x=x[0, :],\n",
+    "        y=y[:, 0],\n",
+    "        z0=z0,\n",
+    "        colorbar={\"title\": \"Gain (dB)\"},\n",
+    "        colorscale=\"viridis\",\n",
+    "        cmin=float(G_min),\n",
+    "        cmax=float(G_max),\n",
+    "        row=1,\n",
+    "        col=1,\n",
+    "        showscale=False,\n",
+    "    )\n",
+    "    draw_image(\n",
+    "        G_exhau,\n",
+    "        x=x[0, :],\n",
+    "        y=y[:, 0],\n",
+    "        z0=z0,\n",
+    "        colorbar={\"title\": \"Gain (dB)\"},\n",
+    "        colorscale=\"viridis\",\n",
+    "        cmin=float(G_min),\n",
+    "        cmax=float(G_max),\n",
+    "        row=1,\n",
+    "        col=2,\n",
+    "    )\n",
+    "fig"
    ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "sampling-paths",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -5524,7 +55686,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.12"
+   "version": "3.11.8"
   },
   "mystnb": {
    "execution_mode": "off"