diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 6d807a86..521f5f1f 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -10,10 +10,4 @@ repos: - repo: https://github.com/PyCQA/isort rev: 6.0.1 hooks: - - id: isort -- repo: local - hooks: - - id: convert-notebooks - name: Convert Jupyter Notebooks Before Commit - entry: python scripts/convert_notebooks.py - language: system \ No newline at end of file + - id: isort \ No newline at end of file diff --git a/CHANGELOG.md b/CHANGELOG.md index b726f629..06684610 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -8,6 +8,9 @@ All notable changes to this project will be documented in this file. - Add project-level `CLAUDE.md` file [#329](https://github.com/ie3-institute/pypsdm/issues/329) - Adding congestion result handling [#198](https://github.com/ie3-institute/pypsdm/issues/198) - Add pre-commit hook for removing metadata from jupyter notebooks [#363](https://github.com/ie3-institute/pypsdm/issues/363) +- Switch to `nb-clean` for removing metadata from jupyter notebooks [#365](https://github.com/ie3-institute/pypsdm/issues/365) +- Using `NBVAL` as validation for jupyter notebooks [#351](https://github.com/ie3-institute/pypsdm/issues/351) +- Add colored Line Trace to plotting [#343](https://github.com/ie3-institute/pypsdm/issues/343) ### Changed diff --git a/docs/nbs/input_models.ipynb b/docs/nbs/input_models.ipynb index a3286b87..7089e5b9 100644 --- a/docs/nbs/input_models.ipynb +++ b/docs/nbs/input_models.ipynb @@ -2,30 +2,42 @@ "cells": [ { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "metadata": { + "ExecuteTime": { + "end_time": "2025-08-12T16:43:41.436554Z", + "start_time": "2025-08-12T16:43:41.400783Z" + } + }, "source": [ + "# NBVAL_SKIP\n", "# Some jupyter notebook magic to reload modules automatically when they change\n", "# not necessary for this specific notebook but useful in general\n", + "# NBVAL_SKIP\n", "%load_ext autoreload\n", "%autoreload 2" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, + ], "outputs": [ { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "\u001b[32m2024-04-30 09:05:50.311\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mpypsdm.models.primary_data\u001b[0m:\u001b[36mfrom_csv\u001b[0m:\u001b[36m266\u001b[0m - \u001b[34m\u001b[1mNo primary data in path /Users/thomas/coding/python/pypsdm/pypsdm-feature/tests/resources/simple_grid/input\u001b[0m\n" + "The autoreload extension is already loaded. To reload it, use:\n", + " %reload_ext autoreload\n" ] } ], + "execution_count": 46 + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2025-08-12T16:43:41.559816Z", + "start_time": "2025-08-12T16:43:41.445969Z" + } + }, "source": [ + "# NBVAL_IGNORE_OUTPUT\n", "from definitions import ROOT_DIR\n", "import os\n", "\n", @@ -41,19 +53,38 @@ "grid = GridContainer.from_csv(grid_path)\n", "# You can also load a `GridWithResults` container which additionally contains the result\n", "# data. For more details see the `result_models.ipynb` notebook" - ] + ], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001B[32m2025-08-12 18:43:41.556\u001B[0m | \u001B[34m\u001B[1mDEBUG \u001B[0m | \u001B[36mpypsdm.models.primary_data\u001B[0m:\u001B[36mfrom_csv\u001B[0m:\u001B[36m273\u001B[0m - \u001B[34m\u001B[1mNo primary data in path /home/smdafeis/github/pypsdm/tests/resources/simple_grid/input\u001B[0m\n" + ] + } + ], + "execution_count": 47 }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2025-08-12T16:43:41.608774Z", + "start_time": "2025-08-12T16:43:41.566612Z" + } + }, + "source": [ + "# NBVAL_SKIP\n", + "from pypsdm.plots.grid import grid_plot\n", + "\n", + "# Use the grid_plot method to visualize the grid model\n", + "# only works if the underlying node input files have associated coordinates\n", + "grid_plot(grid)" + ], "outputs": [ { "data": { "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, "data": [ { "hoverinfo": "skip", @@ -62,13 +93,15 @@ 51.00474261837189 ], "line": { - "color": "#1ac938" + "color": "#1ac938", + "width": 2 }, "lon": [ 7.178732983051468, 7.18043886801018 ], "mode": "lines", + "showlegend": false, "type": "scattermapbox" }, { @@ -86,6 +119,7 @@ "size": 0 }, "mode": "markers", + "showlegend": false, "type": "scattermapbox" }, { @@ -95,13 +129,15 @@ 51.00473924277929 ], "line": { - "color": "#1ac938" + "color": "#1ac938", + "width": 2 }, "lon": [ 7.177091457368853, 7.178732983051468 ], "mode": "lines", + "showlegend": false, "type": "scattermapbox" }, { @@ -119,6 +155,7 @@ "size": 0 }, "mode": "markers", + "showlegend": false, "type": "scattermapbox" }, { @@ -128,13 +165,15 @@ 51.00442531159225 ], "line": { - "color": "#1ac938" + "color": "#1ac938", + "width": 2 }, "lon": [ 7.18043886801018, 7.1826490082711505 ], "mode": "lines", + "showlegend": false, "type": "scattermapbox" }, { @@ -152,139 +191,54 @@ "size": 0 }, "mode": "markers", + "showlegend": false, "type": "scattermapbox" }, { "hoverinfo": "text", "hovertext": [ - "MS_01
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"polar": { - "angularaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" + "yaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 }, - "bgcolor": "#E5ECF6", - "radialaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } + "zerolinecolor": "white", + "automargin": true, + "zerolinewidth": 2 }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", - "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", - "zerolinecolor": "white" + "zerolinecolor": "white", + "gridwidth": 2 }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", - "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", - "zerolinecolor": "white" + "zerolinecolor": "white", + "gridwidth": 2 }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", - "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", - "zerolinecolor": "white" + "zerolinecolor": "white", + "gridwidth": 2 } }, "shapedefaults": { @@ -979,51 +982,45 @@ "color": "#2a3f5f" } }, - "ternary": { - "aaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "baxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "caxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } + "annotationdefaults": { + "arrowcolor": "#2a3f5f", + "arrowhead": 0, + "arrowwidth": 1 + }, + "geo": { + "bgcolor": "white", + "landcolor": "#E5ECF6", + "subunitcolor": "white", + "showland": true, + "showlakes": true, + "lakecolor": "white" }, "title": { "x": 0.05 }, - "xaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - }, - "yaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 + "mapbox": { + "style": "light" } } - } + }, + "mapbox": { + "center": { + "lat": 51.00473791118638, + "lon": 7.1792007548141 + }, + "style": "open-street-map", + "zoom": 11.994442449097702 + }, + "margin": { + "r": 0, + "t": 0, + "l": 0, + "b": 0 + }, + "showlegend": false + }, + "config": { + "plotlyServerURL": "https://plot.ly" } } }, @@ -1031,18 +1028,25 @@ "output_type": "display_data" } ], - "source": [ - "from pypsdm.plots.grid import grid_plot\n", - "\n", - "# Use the grid_plot method to visualize the grid model\n", - "# only works if the underlying node input files have associated coordinates\n", - "grid_plot(grid)" - ] + "execution_count": 48 }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2025-08-12T16:43:41.646887Z", + "start_time": "2025-08-12T16:43:41.615565Z" + } + }, + "source": [ + "# NBVAL_IGNORE_OUTPUT\n", + "# You can get a graph representation of the grid\n", + "graph = grid.raw_grid.build_networkx_graph()\n", + "# And a list of all the branches in the grid\n", + "branches_list = grid.raw_grid.get_branches()\n", + "branches_subgraphs = grid.raw_grid.get_branches(as_graphs=True)\n", + "branches_list, branches_subgraphs" + ], "outputs": [ { "data": { @@ -1051,30 +1055,93 @@ " 'b7a5be0d-2662-41b2-99c6-3b8121a75e9e',\n", " '1dcddd06-f41a-405b-9686-7f7942852196',\n", " 'e3c3c6a3-c383-4dbb-9b3f-a14125615386']],\n", - " [])" + " [])" ] }, - "execution_count": 4, + "execution_count": 49, "metadata": {}, "output_type": "execute_result" } ], - "source": [ - "# You can get a graph representation of the grid\n", - "graph = grid.raw_grid.build_networkx_graph()\n", - "# And a list of all the branches in the grid\n", - "branches_list = grid.raw_grid.get_branches()\n", - "branches_subgraphs = grid.raw_grid.get_branches(as_graphs=True)\n", - "branches_list, branches_subgraphs" - ] + "execution_count": 49 }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2025-08-12T16:43:41.691666Z", + "start_time": "2025-08-12T16:43:41.663079Z" + } + }, + "source": [ + "# NBVAL_IGNORE_OUTPUT\n", + "# A grid container consists of a raw grid container\n", + "raw_grid = grid.raw_grid\n", + "# consisting of lines, transformers and so on\n", + "lines = raw_grid.lines\n", + "# and a participants container\n", + "participants = grid.participants\n", + "# consisting of loads, pv plants\n", + "pvs = participants.pvs\n", + "\n", + "# You can also directly access the nested objects from the container classes\n", + "pvs = grid.pvs\n", + "\n", + "# The base data structure of all input model is a pandas DataFrame accessible via .data\n", + "pvs.data" + ], "outputs": [ { "data": { + "text/plain": [ + " id operates_from operates_until \\\n", + "uuid \n", + "35b25f11-434b-49c8-acba-797a986f52b4 PV_NS_02 NaN NaN \n", + "d4f0ff3a-a44d-4ec9-9f23-a435acd8fbc9 PV_NS_03 NaN NaN \n", + "718ac721-c577-4341-b1d0-f7545d56fa2d PV_NS_04 NaN NaN \n", + "\n", + " operator \\\n", + "uuid \n", + "35b25f11-434b-49c8-acba-797a986f52b4 NaN \n", + "d4f0ff3a-a44d-4ec9-9f23-a435acd8fbc9 NaN \n", + "718ac721-c577-4341-b1d0-f7545d56fa2d NaN \n", + "\n", + " node \\\n", + "uuid \n", + "35b25f11-434b-49c8-acba-797a986f52b4 b7a5be0d-2662-41b2-99c6-3b8121a75e9e \n", + "d4f0ff3a-a44d-4ec9-9f23-a435acd8fbc9 1dcddd06-f41a-405b-9686-7f7942852196 \n", + "718ac721-c577-4341-b1d0-f7545d56fa2d e3c3c6a3-c383-4dbb-9b3f-a14125615386 \n", + "\n", + " q_characteristics s_rated \\\n", + "uuid \n", + "35b25f11-434b-49c8-acba-797a986f52b4 cosPhiFixed:{(0.0, 0.9)} 4 \n", + "d4f0ff3a-a44d-4ec9-9f23-a435acd8fbc9 cosPhiFixed:{(0.0, 0.9)} 6 \n", + "718ac721-c577-4341-b1d0-f7545d56fa2d cosPhiFixed:{(0.0, 0.9)} 10 \n", + "\n", + " albedo azimuth elevation_angle \\\n", + "uuid \n", + "35b25f11-434b-49c8-acba-797a986f52b4 0.21 90 40 \n", + "d4f0ff3a-a44d-4ec9-9f23-a435acd8fbc9 0.21 0 45 \n", + "718ac721-c577-4341-b1d0-f7545d56fa2d 0.21 -90 30 \n", + "\n", + " eta_conv k_g k_t market_reaction \\\n", + "uuid \n", + "35b25f11-434b-49c8-acba-797a986f52b4 97 0.9 1 False \n", + "d4f0ff3a-a44d-4ec9-9f23-a435acd8fbc9 97 0.9 1 False \n", + "718ac721-c577-4341-b1d0-f7545d56fa2d 97 0.9 1 False \n", + "\n", + " cos_phi_rated \\\n", + "uuid \n", + "35b25f11-434b-49c8-acba-797a986f52b4 0.9 \n", + "d4f0ff3a-a44d-4ec9-9f23-a435acd8fbc9 0.9 \n", + "718ac721-c577-4341-b1d0-f7545d56fa2d 0.9 \n", + "\n", + " controlling_em \n", + "uuid \n", + "35b25f11-434b-49c8-acba-797a986f52b4 db1a151e-8e52-4b4d-8600-0fcd827d3e77 \n", + "d4f0ff3a-a44d-4ec9-9f23-a435acd8fbc9 d9571711-9cf7-4bad-bc15-c1879841892f \n", + "718ac721-c577-4341-b1d0-f7545d56fa2d e4c3c9a7-6c4e-4908-b537-3247f59eff1c " + ], "text/html": [ "
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n,i,a,o=e[t],s=w.scopeDefaults[e.scope];\"lonaxis\"===t?(n=s.lonaxisRange,i=s.lataxisRange,a=function(t,e){return[t,e]}):\"lataxis\"===t&&(n=s.lataxisRange,i=s.lonaxisRange,a=function(t,e){return[e,t]});var l={type:\"linear\",range:[n[0],n[1]-1e-6],tick0:o.tick0,dtick:o.dtick};m.setConvert(l,r);var c=m.calcTicks(l);e.isScoped||\"lonaxis\"!==t||c.pop();for(var u=c.length,h=new Array(u),f=0;f-1&&_(n.event,i,[r.xaxis],[r.yaxis],r.id,u),s.indexOf(\"event\")>-1&&p.click(i,n.event))}))}function h(t){return r.projection.invert([t[0]+r.xaxis._offset,t[1]+r.yaxis._offset])}},S.makeFramework=function(){var t=this,e=t.graphDiv,r=e._fullLayout,i=\"clip\"+r._uid+t.id;t.clipDef=r._clips.append(\"clipPath\").attr(\"id\",i),t.clipRect=t.clipDef.append(\"rect\"),t.framework=n.select(t.container).append(\"g\").attr(\"class\",\"geo \"+t.id).call(f.setClipUrl,i,e),t.project=function(e){var r=t.projection(e);return r?[r[0]-t.xaxis._offset,r[1]-t.yaxis._offset]:[null,null]},t.xaxis={_id:\"x\",c2p:function(e){return t.project(e)[0]}},t.yaxis={_id:\"y\",c2p:function(e){return t.project(e)[1]}},t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},m.setConvert(t.mockAxis,r)},S.saveViewInitial=function(t){var e,r=t.center||{},n=t.projection,i=n.rotation||{};this.viewInitial={fitbounds:t.fitbounds,\"projection.scale\":n.scale},e=t._isScoped?{\"center.lon\":r.lon,\"center.lat\":r.lat}:t._isClipped?{\"projection.rotation.lon\":i.lon,\"projection.rotation.lat\":i.lat}:{\"center.lon\":r.lon,\"center.lat\":r.lat,\"projection.rotation.lon\":i.lon},c.extendFlat(this.viewInitial,e)},S.render=function(t){this._hasMarkerAngles&&t?this.plot(this._geoCalcData,this._fullLayout,[],!0):this._render()},S._render=function(){var t,e=this.projection,r=e.getPath();function n(t){var r=e(t.lonlat);return r?u(r[0],r[1]):null}function i(t){return e.isLonLatOverEdges(t.lonlat)?\"none\":null}for(t in this.basePaths)this.basePaths[t].attr(\"d\",r);for(t in this.dataPaths)this.dataPaths[t].attr(\"d\",(function(t){return r(t.geojson)}));for(t in this.dataPoints)this.dataPoints[t].attr(\"display\",i).attr(\"transform\",n)}},47544:function(t,e,r){\"use strict\";var n=r(4173).fX,i=r(34809).counterRegex,a=r(6493),o=\"geo\",s=i(o),l={};l[o]={valType:\"subplotid\",dflt:o,editType:\"calc\"},t.exports={attr:o,name:o,idRoot:o,idRegex:s,attrRegex:s,attributes:l,layoutAttributes:r(42194),supplyLayoutDefaults:r(31653),plot:function(t){for(var e=t._fullLayout,r=t.calcdata,i=e._subplots[o],s=0;s0&&I<0&&(I+=360);var P,z,O,D=(L+I)/2;if(!p){var R=d?h.projRotate:[D,0,0];P=r(\"projection.rotation.lon\",R[0]),r(\"projection.rotation.lat\",R[1]),r(\"projection.rotation.roll\",R[2]),r(\"showcoastlines\",!d&&x)&&(r(\"coastlinecolor\"),r(\"coastlinewidth\")),r(\"showocean\",!!x&&void 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r=0,n=0,i=t.length;nMath.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*b*(s>=0?1:-1),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[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).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 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r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},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/g,\" 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a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),_(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,f=e.glplot.selection,m=0;m\")):\"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(\"
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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 i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},k.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=h.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},k.saveLayout=function(t){var e,r,n,i,a,o,s=this,l=s.fullLayout,c=s.isCameraChanged(t),f=s.isAspectChanged(t),p=c||f;if(p){var d={};c&&(e=s.getCamera(),n=(r=h.nestedProperty(t,s.id+\".camera\")).get(),d[s.id+\".camera\"]=n),f&&(i=s.glplot.getAspectratio(),o=(a=h.nestedProperty(t,s.id+\".aspectratio\")).get(),d[s.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,l._preGUI,d),c&&(r.set(e),h.nestedProperty(l,s.id+\".camera\").set(e)),f&&(a.set(i),h.nestedProperty(l,s.id+\".aspectratio\").set(i),s.glplot.redraw())}return p},k.updateFx=function(t,e){var r=this,n=r.camera;if(n)if(\"orbit\"===t)n.mode=\"orbit\",n.keyBindingMode=\"rotate\";else if(\"turntable\"===t){n.up=[0,0,1],n.mode=\"turntable\",n.keyBindingMode=\"rotate\";var i=r.graphDiv,a=i._fullLayout,o=r.fullSceneLayout.camera,s=o.up.x,l=o.up.y,c=o.up.z;if(c/Math.sqrt(s*s+l*l+c*c)<.999){var f=r.id+\".camera.up\",p={x:0,y:0,z:1},d={};d[f]=p;var m=i.layout;u.call(\"_storeDirectGUIEdit\",m,a._preGUI,d),o.up=p,h.nestedProperty(m,f).set(p)}}else n.keyBindingMode=t;r.fullSceneLayout.hovermode=e},k.toImage=function(t){var e=this;t||(t=\"png\"),e.staticMode&&e.container.appendChild(n),e.glplot.redraw();var r=e.glplot.gl,i=r.drawingBufferWidth,a=r.drawingBufferHeight;r.bindFramebuffer(r.FRAMEBUFFER,null);var o=new Uint8Array(i*a*4);r.readPixels(0,0,i,a,r.RGBA,r.UNSIGNED_BYTE,o),function(t,e,r){for(var n=0,i=r-1;n0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(o,i,a);var s=document.createElement(\"canvas\");s.width=i,s.height=a;var l,c=s.getContext(\"2d\",{willReadFrequently:!0}),u=c.createImageData(i,a);switch(u.data.set(o),c.putImageData(u,0,0),t){case\"jpeg\":l=s.toDataURL(\"image/jpeg\");break;case\"webp\":l=s.toDataURL(\"image/webp\");break;default:l=s.toDataURL(\"image/png\")}return e.staticMode&&e.container.removeChild(n),l},k.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[M[t]];p.setConvert(e,this.fullLayout),e.setScale=h.noop}},k.make4thDimension=function(){var t=this,e=t.graphDiv._fullLayout;t._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},p.setConvert(t._mockAxis,e)},t.exports=T},88239:function(t){\"use strict\";t.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;aOpenStreetMap contributors',tiles:[\"https://tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}],glyphs:\"https://fonts.openmaptiles.org/{fontstack}/{range}.pbf\"},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}],glyphs:\"https://fonts.openmaptiles.org/{fontstack}/{range}.pbf\"},\"carto-positron\":a,\"carto-darkmatter\":o,\"carto-voyager\":s,\"carto-positron-nolabels\":\"https://basemaps.cartocdn.com/gl/positron-nolabels-gl-style/style.json\",\"carto-darkmatter-nolabels\":\"https://basemaps.cartocdn.com/gl/dark-matter-nolabels-gl-style/style.json\",\"carto-voyager-nolabels\":\"https://basemaps.cartocdn.com/gl/voyager-nolabels-gl-style/style.json\"},c=n(l);t.exports={styleValueDflt:\"basic\",stylesMap:l,styleValuesMap:c,traceLayerPrefix:\"plotly-trace-layer-\",layoutLayerPrefix:\"plotly-layout-layer-\",missingStyleErrorMsg:[\"No valid maplibre style found, please set `map.style` to one of:\",c.join(\", \"),\"or use a tile service.\"].join(\"\\n\"),mapOnErrorMsg:\"Map error.\"}},4657:function(t,e,r){\"use strict\";var n=r(34809);t.exports=function(t,e){var r=t.split(\" \"),i=r[0],a=r[1],o=n.isArrayOrTypedArray(e)?n.mean(e):e,s=.5+o/100,l=1.5+o/100,c=[\"\",\"\"],u=[0,0];switch(i){case\"top\":c[0]=\"top\",u[1]=-l;break;case\"bottom\":c[0]=\"bottom\",u[1]=l}switch(a){case\"left\":c[1]=\"right\",u[0]=-s;break;case\"right\":c[1]=\"left\",u[0]=s}return{anchor:c[0]&&c[1]?c.join(\"-\"):c[0]?c[0]:c[1]?c[1]:\"center\",offset:u}}},34091:function(t,e,r){\"use strict\";var n=r(34809),i=n.strTranslate,a=n.strScale,o=r(4173).fX,s=r(62972),l=r(45568),c=r(62203),u=r(30635),h=r(38793),f=\"map\";e.name=f,e.attr=\"subplot\",e.idRoot=f,e.idRegex=e.attrRegex=n.counterRegex(f),e.attributes={subplot:{valType:\"subplotid\",dflt:\"map\",editType:\"calc\"}},e.layoutAttributes=r(8257),e.supplyLayoutDefaults=r(97446),e.plot=function(t){for(var e=t._fullLayout,r=t.calcdata,i=e._subplots[f],a=0;ax/2){var _=m.split(\"|\").join(\"
\");y.text(_).attr(\"data-unformatted\",_).call(u.convertToTspans,t),v=c.bBox(y.node())}y.attr(\"transform\",i(-3,8-v.height)),g.insert(\"rect\",\".static-attribution\").attr({x:-v.width-6,y:-v.height-3,width:v.width+6,height:v.height+3,fill:\"rgba(255, 255, 255, 0.75)\"});var b=1;v.width+6>x&&(b=x/(v.width+6));var w=[n.l+n.w*p.x[1],n.t+n.h*(1-p.y[0])];g.attr(\"transform\",i(w[0],w[1])+a(b))}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[f],n=0;n0){for(var r=0;r0}function u(t){var e={},r={};switch(t.type){case\"circle\":n.extendFlat(r,{\"circle-radius\":t.circle.radius,\"circle-color\":t.color,\"circle-opacity\":t.opacity});break;case\"line\":n.extendFlat(r,{\"line-width\":t.line.width,\"line-color\":t.color,\"line-opacity\":t.opacity,\"line-dasharray\":t.line.dash});break;case\"fill\":n.extendFlat(r,{\"fill-color\":t.color,\"fill-outline-color\":t.fill.outlinecolor,\"fill-opacity\":t.opacity});break;case\"symbol\":var i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{\"icon-image\":i.icon+\"-15\",\"icon-size\":i.iconsize/10,\"text-field\":i.text,\"text-size\":i.textfont.size,\"text-anchor\":o.anchor,\"text-offset\":o.offset,\"symbol-placement\":i.placement}),n.extendFlat(r,{\"icon-color\":t.color,\"text-color\":i.textfont.color,\"text-opacity\":t.opacity});break;case\"raster\":n.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":t.opacity})}return{layout:e,paint:r}}l.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=c(t)},l.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&\"image\"===this.sourceType&&\"image\"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},l.needsNewSource=function(t){return this.sourceType!==t.sourcetype||JSON.stringify(this.source)!==JSON.stringify(t.source)||this.layerType!==t.type},l.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},l.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]},l.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates});var e=this.findFollowingMapLayerId(this.lookupBelow());null!==e&&this.subplot.map.moveLayer(this.idLayer,e)},l.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,c(t)){var r=function(t){var e,r=t.sourcetype,n=t.source,a={type:r};return\"geojson\"===r?e=\"data\":\"vector\"===r?e=\"string\"==typeof n?\"url\":\"tiles\":\"raster\"===r?(e=\"tiles\",a.tileSize=256):\"image\"===r&&(e=\"url\",a.coordinates=t.coordinates),a[e]=n,t.sourceattribution&&(a.attribution=i(t.sourceattribution)),a}(t);e.addSource(this.idSource,r)}},l.findFollowingMapLayerId=function(t){if(\"traces\"===t)for(var e=this.subplot.getMapLayers(),r=0;r1)for(r=0;r-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;eOpenStreetMap contributors',o=['© Carto',a].join(\" \"),s=['Map tiles by Stamen Design','under CC BY 3.0',\"|\",'Data by OpenStreetMap contributors','under ODbL'].join(\" \"),l={\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:a,tiles:[\"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png\",\"https://b.tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}],glyphs:\"https://fonts.openmaptiles.org/{fontstack}/{range}.pbf\"},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}],glyphs:\"https://fonts.openmaptiles.org/{fontstack}/{range}.pbf\"},\"carto-positron\":{id:\"carto-positron\",version:8,sources:{\"plotly-carto-positron\":{type:\"raster\",attribution:o,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-positron\",type:\"raster\",source:\"plotly-carto-positron\",minzoom:0,maxzoom:22}],glyphs:\"https://fonts.openmaptiles.org/{fontstack}/{range}.pbf\"},\"carto-darkmatter\":{id:\"carto-darkmatter\",version:8,sources:{\"plotly-carto-darkmatter\":{type:\"raster\",attribution:o,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-darkmatter\",type:\"raster\",source:\"plotly-carto-darkmatter\",minzoom:0,maxzoom:22}],glyphs:\"https://fonts.openmaptiles.org/{fontstack}/{range}.pbf\"},\"stamen-terrain\":{id:\"stamen-terrain\",version:8,sources:{\"plotly-stamen-terrain\":{type:\"raster\",attribution:s,tiles:[\"https://tiles.stadiamaps.com/tiles/stamen_terrain/{z}/{x}/{y}.png?api_key=\"],tileSize:256}},layers:[{id:\"plotly-stamen-terrain\",type:\"raster\",source:\"plotly-stamen-terrain\",minzoom:0,maxzoom:22}],glyphs:\"https://fonts.openmaptiles.org/{fontstack}/{range}.pbf\"},\"stamen-toner\":{id:\"stamen-toner\",version:8,sources:{\"plotly-stamen-toner\":{type:\"raster\",attribution:s,tiles:[\"https://tiles.stadiamaps.com/tiles/stamen_toner/{z}/{x}/{y}.png?api_key=\"],tileSize:256}},layers:[{id:\"plotly-stamen-toner\",type:\"raster\",source:\"plotly-stamen-toner\",minzoom:0,maxzoom:22}],glyphs:\"https://fonts.openmaptiles.org/{fontstack}/{range}.pbf\"},\"stamen-watercolor\":{id:\"stamen-watercolor\",version:8,sources:{\"plotly-stamen-watercolor\":{type:\"raster\",attribution:['Map 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require a Mapbox access token to be registered.\",\"For example:\",\" Plotly.newPlot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });\",\"More info here: https://www.mapbox.com/help/define-access-token/\"].join(\"\\n\"),missingStyleErrorMsg:[\"No valid mapbox style found, please set `mapbox.style` to one of:\",c.join(\", \"),\"or register a Mapbox access token to use a Mapbox-served style.\"].join(\"\\n\"),multipleTokensErrorMsg:[\"Set multiple mapbox access token across different mapbox subplot,\",\"using first token found as mapbox-gl does not allow multipleaccess tokens on the same page.\"].join(\"\\n\"),mapOnErrorMsg:\"Mapbox error.\",mapboxLogo:{path0:\"m 10.5,1.24 c -5.11,0 -9.25,4.15 -9.25,9.25 0,5.1 4.15,9.25 9.25,9.25 5.1,0 9.25,-4.15 9.25,-9.25 0,-5.11 -4.14,-9.25 -9.25,-9.25 z m 4.39,11.53 c -1.93,1.93 -4.78,2.31 -6.7,2.31 -0.7,0 -1.41,-0.05 -2.1,-0.16 0,0 -1.02,-5.64 2.14,-8.81 0.83,-0.83 1.95,-1.28 3.13,-1.28 1.27,0 2.49,0.51 3.39,1.42 1.84,1.84 1.89,4.75 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n=r(32280),i=r(34809),a=i.strTranslate,o=i.strScale,s=r(4173).fX,l=r(62972),c=r(45568),u=r(62203),h=r(30635),f=r(5417),p=\"mapbox\",d=e.constants=r(44245);e.name=p,e.attr=\"subplot\",e.idRoot=p,e.idRegex=e.attrRegex=i.counterRegex(p);var m=[\"mapbox subplots and traces are deprecated!\",\"Please consider switching to `map` subplots and traces.\",\"Learn more at: https://plotly.com/javascript/maplibre-migration/\"].join(\" \");e.attributes={subplot:{valType:\"subplotid\",dflt:\"mapbox\",editType:\"calc\"}},e.layoutAttributes=r(67514),e.supplyLayoutDefaults=r(86989);var g=!0;function y(t){return\"string\"==typeof t&&(-1!==d.styleValuesMapbox.indexOf(t)||0===t.indexOf(\"mapbox://\")||0===t.indexOf(\"stamen\"))}e.plot=function(t){g&&(g=!1,i.warn(m));var e=t._fullLayout,r=t.calcdata,a=e._subplots[p];if(n.version!==d.requiredVersion)throw new Error(d.wrongVersionErrorMsg);var o=function(t,e){var r=t._fullLayout;if(\"\"===t._context.mapboxAccessToken)return\"\";for(var n=[],a=[],o=!1,s=!1,l=0;l1&&i.warn(d.multipleTokensErrorMsg),n[0]):(a.length&&i.log([\"Listed mapbox access token(s)\",a.join(\",\"),\"but did not use a Mapbox map style, ignoring token(s).\"].join(\" \")),\"\")}(t,a);n.accessToken=o;for(var l=0;lw/2){var T=v.split(\"|\").join(\"
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title\"),attributes:{x:_,y:b,\"text-anchor\":\"middle\"},transform:{rotate:-m}})}},N.updateAngularAxis=function(t,e){var r=this,n=r.gd,i=r.layers,a=r.radius,u=r.innerRadius,h=r.cx,p=r.cy,d=r.getAngular(e),m=r.angularAxis,g=r.isSmith;g||(r.fillViewInitialKey(\"angularaxis.rotation\",d.rotation),m.setGeometry(),m.setScale());var y=g?function(t){var e=z(r,L([0,t.x]));return Math.atan2(e[0]-h,e[1]-p)-Math.PI/2}:function(t){return m.t2g(t.x)};\"linear\"===m.type&&\"radians\"===m.thetaunit&&(m.tick0=F(m.tick0),m.dtick=F(m.dtick));var v=function(t){return l(h+a*Math.cos(t),p-a*Math.sin(t))},x=g?function(t){var e=z(r,L([0,t.x]));return l(e[0],e[1])}:function(t){return v(y(t))},_=g?function(t){var e=z(r,L([0,t.x])),n=Math.atan2(e[0]-h,e[1]-p)-Math.PI/2;return l(e[0],e[1])+s(-F(n))}:function(t){var e=y(t);return v(e)+s(-F(e))},b=g?function(t){return I(r,t.x,0,1/0)}:function(t){var e=y(t),r=Math.cos(e),n=Math.sin(e);return\"M\"+[h+u*r,p-u*n]+\"L\"+[h+a*r,p-a*n]},w=f.makeLabelFns(m,0).labelStandoff,T={xFn:function(t){var e=y(t);return Math.cos(e)*w},yFn:function(t){var e=y(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(w+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*M)},anchorFn:function(t){var e=y(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},heightFn:function(t,e,r){var n=y(t);return-.5*(1+Math.sin(n))*r}},k=j(d);r.angularTickLayout!==k&&(i[\"angular-axis\"].selectAll(\".\"+m._id+\"tick\").remove(),r.angularTickLayout=k);var A,S=g?[1/0].concat(m.tickvals||[]).map((function(t){return f.tickText(m,t,!0,!1)})):f.calcTicks(m);if(g&&(S[0].text=\"∞\",S[0].fontSize*=1.75),\"linear\"===e.gridshape?(A=S.map(y),o.angleDelta(A[0],A[1])<0&&(A=A.slice().reverse())):A=null,r.vangles=A,\"category\"===m.type&&(S=S.filter((function(t){return o.isAngleInsideSector(y(t),r.sectorInRad)}))),m.visible){var E=\"inside\"===m.ticks?-1:1,C=(m.linewidth||1)/2;f.drawTicks(n,m,{vals:S,layer:i[\"angular-axis\"],path:\"M\"+E*C+\",0h\"+E*m.ticklen,transFn:_,crisp:!1}),f.drawGrid(n,m,{vals:S,layer:i[\"angular-grid\"],path:b,transFn:o.noop,crisp:!1}),f.drawLabels(n,m,{vals:S,layer:i[\"angular-axis\"],repositionOnUpdate:!0,transFn:x,labelFns:T})}V(i[\"angular-line\"].select(\"path\"),d.showline,{d:r.pathSubplot(),transform:l(h,p)}).attr(\"stroke-width\",d.linewidth).call(c.stroke,d.linecolor)},N.updateFx=function(t,e){this.gd._context.staticPlot||(!this.isSmith&&(this.updateAngularDrag(t),this.updateRadialDrag(t,e,0),this.updateRadialDrag(t,e,1)),this.updateHoverAndMainDrag(t))},N.updateHoverAndMainDrag=function(t){var 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 r=R/t,n=e-r,i=e+r,a=Math.max(0,Math.min(t,m)),o=a-D,l=a+D;return\"M\"+J(o,n)+\"A\"+[o,o]+\" 0,0,0 \"+J(o,i)+\"L\"+J(l,i)+\"A\"+[l,l]+\" 0,0,1 \"+J(l,n)+\"Z\"}function Q(t,e,r){if(0===t)return s.pathSector(2*D);var n,i,a=J(t,e),o=J(t,r),l=P((a[0]+o[0])/2),c=P((a[1]+o[1])/2);if(l&&c){var u=c/l,h=-1/u,f=z(D,u,l,c);n=z(R,h,f[0][0],f[0][1]),i=z(R,h,f[1][0],f[1][1])}else{var p,d;c?(p=R,d=D):(p=D,d=R),n=[[l-p,c-d],[l+p,c-d]],i=[[l-p,c+d],[l+p,c+d]]}return\"M\"+n.join(\"L\")+\"L\"+i.reverse().join(\"L\")+\"Z\"}function tt(t,e){return e=Math.max(Math.min(e,m),x),tp?(t-1&&1===t&&b(e,u,[s.xaxis],[s.yaxis],s.id,W),r.indexOf(\"event\")>-1&&v.click(u,e,s.id)}W.prepFn=function(t,n,a){var l=u._fullLayout.dragmode,h=F.getBoundingClientRect();u._fullLayout._calcInverseTransform(u);var p=u._fullLayout._invTransform;e=u._fullLayout._invScaleX,r=u._fullLayout._invScaleY;var d=o.apply3DTransform(p)(n-h.left,a-h.top);if(B=d[0],N=d[1],L){var y=E.findPolygonOffset(m,C[0],C[1],L);B+=A+y[0],N+=M+y[1]}switch(l){case\"zoom\":W.clickFn=st,c||(W.moveFn=L?it:rt,W.doneFn=at,function(){j=null,U=null,V=s.pathSubplot(),q=!1;var t=u._fullLayout[s.id];H=i(t.bgcolor).getLuminance(),(G=g.makeZoombox(f,H,T,k,V)).attr(\"fill-rule\",\"evenodd\"),Z=g.makeCorners(f,T,k),w(u)}());break;case\"select\":case\"lasso\":_(t,n,a,W,l)}},y.init(W)},N.updateRadialDrag=function(t,e,r){var i=this,c=i.gd,u=i.layers,h=i.radius,f=i.innerRadius,p=i.cx,d=i.cy,m=i.radialAxis,v=S.radialDragBoxSize,x=v/2;if(m.visible){var _,b,T,M=R(i.radialAxisAngle),E=m._rl,C=E[0],L=E[1],I=E[r],P=.75*(E[1]-E[0])/(1-i.getHole(e))/h;r?(_=p+(h+x)*Math.cos(M),b=d-(h+x)*Math.sin(M),T=\"radialdrag\"):(_=p+(f-x)*Math.cos(M),b=d-(f-x)*Math.sin(M),T=\"radialdrag-inner\");var 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&&f0==(r?D>C:Dn?function(t){return t<=0}:function(t){return t>=0};t.c2g=function(r){var n=t.c2l(r)-e;return(s(n)?n:0)+o},t.g2c=function(r){return t.l2c(r+e-o)},t.g2p=function(t){return t*a},t.c2p=function(e){return t.g2p(t.c2g(e))}}}(t,e);break;case\"angularaxis\":!function(t,e){var r=t.type;if(\"linear\"===r){var i=t.d2c,s=t.c2d;t.d2c=function(t,e){return function(t,e){return\"degrees\"===e?a(t):t}(i(t),e)},t.c2d=function(t,e){return s(function(t,e){return\"degrees\"===e?o(t):t}(t,e))}}t.makeCalcdata=function(e,r){var n,i,a=e[r],o=e._length,s=function(r){return t.d2c(r,e.thetaunit)};if(a)for(n=new Array(o),i=0;i0?1:0}function r(t){var e=t[0],r=t[1];if(!isFinite(e)||!isFinite(r))return[1,0];var n=(e+1)*(e+1)+r*r;return[(e*e+r*r-1)/n,2*r/n]}function n(t,e){var r=e[0],n=e[1];return[r*t.radius+t.cx,-n*t.radius+t.cy]}function i(t,e){return e*t.radius}t.exports={smith:r,reactanceArc:function(t,e,a,o){var s=n(t,r([a,e])),l=s[0],c=s[1],u=n(t,r([o,e])),h=u[0],f=u[1];if(0===e)return[\"M\"+l+\",\"+c,\"L\"+h+\",\"+f].join(\" \");var p=i(t,1/Math.abs(e));return[\"M\"+l+\",\"+c,\"A\"+p+\",\"+p+\" 0 0,\"+(e<0?1:0)+\" \"+h+\",\"+f].join(\" \")},resistanceArc:function(t,a,o,s){var l=i(t,1/(a+1)),c=n(t,r([a,o])),u=c[0],h=c[1],f=n(t,r([a,s])),p=f[0],d=f[1];if(e(o)!==e(s)){var m=n(t,r([a,0]));return[\"M\"+u+\",\"+h,\"A\"+l+\",\"+l+\" 0 0,\"+(00){for(var n=[],i=0;i=u&&(f.min=0,d.min=0,g.min=0,t.aaxis&&delete t.aaxis.min,t.baxis&&delete t.baxis.min,t.caxis&&delete t.caxis.min)}function m(t,e,r,n){var i=f[e._name];function o(r,n){return a.coerce(t,e,i,r,n)}o(\"uirevision\",n.uirevision),e.type=\"linear\";var p=o(\"color\"),d=p!==i.color.dflt?p:r.font.color,m=e._name.charAt(0).toUpperCase(),g=\"Component \"+m,y=o(\"title.text\",g);e._hovertitle=y===g?y:m,a.coerceFont(o,\"title.font\",r.font,{overrideDflt:{size:a.bigFont(r.font.size),color:d}}),o(\"min\"),u(t,e,o,\"linear\"),l(t,e,o,\"linear\"),s(t,e,o,\"linear\",{noAutotickangles:!0,noTicklabelshift:!0,noTicklabelstandoff:!0}),c(t,e,o,{outerTicks:!0}),o(\"showticklabels\")&&(a.coerceFont(o,\"tickfont\",r.font,{overrideDflt:{color:d}}),o(\"tickangle\"),o(\"tickformat\")),h(t,e,o,{dfltColor:p,bgColor:r.bgColor,blend:60,showLine:!0,showGrid:!0,noZeroLine:!0,attributes:i}),o(\"hoverformat\"),o(\"layer\")}t.exports=function(t,e,r){o(t,e,r,{type:\"ternary\",attributes:f,handleDefaults:d,font:e.font,paper_bgcolor:e.paper_bgcolor})}},83637:function(t,e,r){\"use strict\";var n=r(45568),i=r(65657),a=r(33626),o=r(34809),s=o.strTranslate,l=o._,c=r(78766),u=r(62203),h=r(19091),f=r(93049).extendFlat,p=r(44122),d=r(29714),m=r(14751),g=r(32141),y=r(70414),v=y.freeMode,x=y.rectMode,_=r(17240),b=r(44844).prepSelect,w=r(44844).selectOnClick,T=r(44844).clearOutline,k=r(44844).clearSelectionsCache,A=r(54826);function M(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.updateFx(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}t.exports=M;var S=M.prototype;S.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},S.plot=function(t,e){var r=this,n=e[r.id],i=e._size;r._hasClipOnAxisFalse=!1;for(var a=0;aE*_?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 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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 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n=r(65477).hasColorscale,i=r(28379),a=r(34809).isArrayOrTypedArray,o=r(35374),s=r(24782).setGroupPositions,l=r(48861),c=r(33626).traceIs,u=r(34809).extendFlat;t.exports={calc:function(t,e){for(var r=t._fullLayout,s=e.subplot,c=r[s].radialaxis,u=r[s].angularaxis,h=c.makeCalcdata(e,\"r\"),f=u.makeCalcdata(e,\"theta\"),p=e._length,d=new Array(p),m=h,g=f,y=0;yf.range[1]&&(x+=Math.PI),n.getClosest(c,(function(t){return m(v,x,[t.rp0,t.rp1],[t.thetag0,t.thetag1],d)?g+Math.min(1,Math.abs(t.thetag1-t.thetag0)/y)-1+(t.rp1-v)/(t.rp1-t.rp0)-1:1/0}),t),!1!==t.index){var _=c[t.index];t.x0=t.x1=_.ct[0],t.y0=t.y1=_.ct[1];var b=i.extendFlat({},_,{r:_.s,theta:_.p});return o(_,u,t),s(b,u,h,t),t.hovertemplate=u.hovertemplate,t.color=a(u,_),t.xLabelVal=t.yLabelVal=void 0,_.s<0&&(t.idealAlign=\"left\"),[t]}}},89362:function(t,e,r){\"use 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R,F,B=[(c.left+c.right)/2,(c.top+c.bottom)/2],N=[(u.left+u.right)/2,(u.top+u.bottom)/2],j=.75*m.delta.font.size;\"left\"===m.delta.position&&(R=S(m,\"deltaPos\",0,-1*(c.width*_[m.align]+u.width*(1-_[m.align])+j),D,Math.min),F=B[1]-N[1],f={width:c.width+u.width+j,height:Math.max(c.height,u.height),left:u.left+R,right:c.right,top:Math.min(c.top,u.top+F),bottom:Math.max(c.bottom,u.bottom+F)}),\"right\"===m.delta.position&&(R=S(m,\"deltaPos\",0,c.width*(1-_[m.align])+u.width*_[m.align]+j,D,Math.max),F=B[1]-N[1],f={width:c.width+u.width+j,height:Math.max(c.height,u.height),left:c.left,right:u.right+R,top:Math.min(c.top,u.top+F),bottom:Math.max(c.bottom,u.bottom+F)}),\"bottom\"===m.delta.position&&(R=null,F=u.height,f={width:Math.max(c.width,u.width),height:c.height+u.height,left:Math.min(c.left,u.left),right:Math.max(c.right,u.right),top:c.bottom-c.height,bottom:c.bottom+u.height}),\"top\"===m.delta.position&&(R=null,F=c.top,f={width:Math.max(c.width,u.width),height:c.height+u.height,left:Math.min(c.left,u.left),right:Math.max(c.right,u.right),top:c.bottom-c.height-u.height,bottom:c.bottom}),O.attr({dx:R,dy:F})}(m._hasNumber||m._hasDelta)&&L.attr(\"transform\",(function(){var 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n=r(99098).gl_mesh3d,i=r(99098).delaunay_triangulate,a=r(99098).alpha_shape,o=r(99098).convex_hull,s=r(46998).parseColorScale,l=r(34809).isArrayOrTypedArray,c=r(55010),u=r(88856).extractOpts,h=r(88239);function f(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var p=f.prototype;function d(t){for(var e=[],r=t.length,n=0;n=e-.5)return!1;return!0}p.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return l(r)&&void 0!==r[e]?t.textLabel=r[e]:r&&(t.textLabel=r),!0}},p.update=function(t){var e=this.scene,r=e.fullSceneLayout;this.data=t;var 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o=e.yaxis,s=e.xaxis,l=!!s.rangebreaks;i.makeTraceGroups(a,r,\"trace ohlc\").each((function(t){var e=n.select(this),r=t[0],a=r.t;if(!0!==r.trace.visible||a.empty)e.remove();else{var c=a.tickLen,u=e.selectAll(\"path\").data(i.identity);u.enter().append(\"path\"),u.exit().remove(),u.attr(\"d\",(function(t){if(t.empty)return\"M0,0Z\";var e=s.c2p(t.pos-c,!0),r=s.c2p(t.pos+c,!0),n=l?(e+r)/2:s.c2p(t.pos,!0);return\"M\"+e+\",\"+o.c2p(t.o,!0)+\"H\"+n+\"M\"+n+\",\"+o.c2p(t.h,!0)+\"V\"+o.c2p(t.l,!0)+\"M\"+r+\",\"+o.c2p(t.c,!0)+\"H\"+n}))}}))}},49343:function(t){\"use strict\";t.exports=function(t,e){var r,n=t.cd,i=t.xaxis,a=t.yaxis,o=[],s=n[0].t.bPos||0;if(!1===e)for(r=0;r=t.length)return!1;if(void 0!==e[t[r]])return!1;e[t[r]]=!0}return!0}(r))for(e=0;e0||u(s);c&&(o=\"array\");var h=r(\"categoryorder\",o);\"array\"===h?(r(\"categoryarray\"),r(\"ticktext\")):(delete t.categoryarray,delete t.ticktext),c||\"array\"!==h||(e.categoryorder=\"trace\")}}t.exports=function(t,e,r,u){function f(r,i){return n.coerce(t,e,l,r,i)}var p=s(t,e,{name:\"dimensions\",handleItemDefaults:h}),d=function(t,e,r,o,s){s(\"line.shape\"),s(\"line.hovertemplate\");var l=s(\"line.color\",o.colorway[0]);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,u,f);o(e,u,f),Array.isArray(p)&&p.length||(e.visible=!1),c(e,p,\"values\",d),f(\"hoveron\"),f(\"hovertemplate\"),f(\"arrangement\"),f(\"bundlecolors\"),f(\"sortpaths\"),f(\"counts\");var m=u.font;n.coerceFont(f,\"labelfont\",m,{overrideDflt:{size:Math.round(m.size)}}),n.coerceFont(f,\"tickfont\",m,{autoShadowDflt:!0,overrideDflt:{size:Math.round(m.size/1.2)}})}},6305:function(t,e,r){\"use strict\";t.exports={attributes:r(11660),supplyDefaults:r(62651),calc:r(95564),plot:r(37822),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcats\",basePlotModule:r(83260),categories:[\"noOpacity\"],meta:{}}},27219:function(t,e,r){\"use strict\";var n=r(45568),i=r(88640).Dj,a=r(31420),o=r(32141),s=r(34809),l=s.strTranslate,c=r(62203),u=r(65657),h=r(30635);function f(t,e,r,i){var a=e._context.staticPlot,o=t.map(F.bind(0,e,r)),u=i.selectAll(\"g.parcatslayer\").data([null]);u.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",a?\"none\":\"all\");var f=u.selectAll(\"g.trace.parcats\").data(o,p),v=f.enter().append(\"g\").attr(\"class\",\"trace parcats\");f.attr(\"transform\",(function(t){return l(t.x,t.y)})),v.append(\"g\").attr(\"class\",\"paths\");var x=f.select(\"g.paths\").selectAll(\"path.path\").data((function(t){return t.paths}),p);x.attr(\"fill\",(function(t){return t.model.color}));var w=x.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);b(w),x.attr(\"d\",(function(t){return t.svgD})),w.empty()||x.sort(m),x.exit().remove(),x.on(\"mouseover\",g).on(\"mouseout\",y).on(\"click\",_),v.append(\"g\").attr(\"class\",\"dimensions\");var A=f.select(\"g.dimensions\").selectAll(\"g.dimension\").data((function(t){return t.dimensions}),p);A.enter().append(\"g\").attr(\"class\",\"dimension\"),A.attr(\"transform\",(function(t){return l(t.x,0)})),A.exit().remove();var M=A.selectAll(\"g.category\").data((function(t){return t.categories}),p),S=M.enter().append(\"g\").attr(\"class\",\"category\");M.attr(\"transform\",(function(t){return l(0,t.y)})),S.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),M.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),T(S);var E=M.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p);E.each((function(){s.raiseToTop(this)})),E.attr(\"fill\",(function(t){return t.color}));var 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 t.model.categoryLabel})).each((function(t){c.font(n.select(this),t.parcatsViewModel.categorylabelfont),h.convertToTspans(n.select(this),e)})),S.append(\"text\").attr(\"class\",\"dimlabel\"),M.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){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\"),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;n1&&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(\"
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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.yh.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.dragXp.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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O(t){for(var e,r=t.graphDiv._fullData,n=0;n=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),u+=\"l-\"+r[s]+\",0 \";return u+\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function h(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=h(e),i=h(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),ni?1:0}));for(var f=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),m=0;m0?d*(y.count/p):0;for(var v,x=new Array(n.length),_=0;_1?(t.width-80-16)/(n-1):0)*i;var a,o,s,l,c,u=[],h=t.model.maxCats,f=e.categories.length,p=e.count,d=t.height-8*(h-1),m=8*(h-f)/2,g=e.categories.map((function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}}));for(g.sort((function(t,e){return t.displayInd-e.displayInd})),c=0;c0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:a,y:null!==o.dragY?o.dragY:m,bands:[],parcatsViewModel:t},m=m+a+8,u.push(s);return{key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:u,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}t.exports=function(t,e,r,n){f(r,t,n,e)}},37822:function(t,e,r){\"use strict\";var n=r(27219);t.exports=function(t,e,r,i){var a=t._fullLayout,o=a._paper,s=a._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,i)}},59549:function(t,e,r){\"use strict\";var n=r(87163),i=r(25829),a=r(80337),o=r(13792).u,s=r(93049).extendFlat,l=r(78032).templatedArray;t.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:a({editType:\"plot\"}),tickfont:a({autoShadowDflt:!0,editType:\"plot\"}),rangefont:a({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},i.tickvals,{editType:\"plot\"}),ticktext:s({},i.ticktext,{editType:\"plot\"}),tickformat:s({},i.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"})),unselected:{line:{color:{valType:\"color\",dflt:\"#7f7f7f\",editType:\"plot\"},opacity:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"plot\"},editType:\"plot\"},editType:\"plot\"}}},23245:function(t,e,r){\"use strict\";var n=r(77911),i=r(45568),a=r(71293).keyFun,o=r(71293).repeat,s=r(34809).sorterAsc,l=r(34809).strTranslate,c=n.bar.snapRatio;function u(t,e){return t*(1-c)+e*c}var h=n.bar.snapClose;function f(t,e){return t*(1-h)+e*h}function p(t,e,r,n){if(function(t,e){for(var r=0;r=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var i=t?-1:1,a=0,o=e.length-1;if(i<0){var s=a;a=o,o=s}for(var l=e[a],c=l,h=a;i*he){f=r;break}}if(a=u,isNaN(a)&&(a=isNaN(h)||isNaN(f)?isNaN(h)?f:h:e-c[h][1]t[1]+r||e=.9*t[1]+.1*t[0]?\"n\":e<=.9*t[0]+.1*t[1]?\"s\":\"ns\"}(d,e);m&&(o.interval=l[a],o.intervalPix=d,o.region=m)}}if(t.ordinal&&!o.region){var g=t.unitTickvals,v=t.unitToPaddedPx.invert(e);for(r=0;r=x[0]&&v<=x[1]){o.clickableOrdinalRange=x;break}}}return o}function w(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.brush.svgBrush;a.wasDragged=!0,a._dragging=!0,a.grabbingBar?a.newExtent=[r-a.grabPoint,r+a.barLength-a.grabPoint].map(e.unitToPaddedPx.invert):a.newExtent=[a.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,a.extent=a.stayingIntervals.concat([a.newExtent]),a.brushCallback(e),_(t.parentNode)}function T(t,e){var r=b(e,e.height-i.mouse(t)[1]-2*n.verticalPadding),a=\"crosshair\";r.clickableOrdinalRange?a=\"pointer\":r.region&&(a=r.region+\"-resize\"),i.select(document.body).style(\"cursor\",a)}function k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||v()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=b(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,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]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;rh&&(n.log(\"parcoords traces support up to \"+h+\" dimensions at the moment\"),d.splice(h));var m=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var l=s(\"line.color\",r);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,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 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r=n.select(this);f.font(r,e.model.labelFont),h.convertToTspans(r,t)})).attr(\"transform\",(function(t){var e=z(t.model.labelAngle,t.model.labelSide),r=x.axisTitleOffset;return(e.dir>0?\"\":u(0,2*r+t.model.height))+c(e.degrees)+u(-r*e.dx,-r*e.dy)})).attr(\"text-anchor\",(function(t){var e=z(t.model.labelAngle,t.model.labelSide);return 2*Math.abs(e.dx)>Math.abs(e.dy)?e.dir*e.dx<0?\"start\":\"end\":\"middle\"}));var W=q.selectAll(\".\"+x.cn.axisExtent).data(g,m);W.enter().append(\"g\").classed(x.cn.axisExtent,!0);var Y=W.selectAll(\".\"+x.cn.axisExtentTop).data(g,m);Y.enter().append(\"g\").classed(x.cn.axisExtentTop,!0),Y.attr(\"transform\",u(0,-x.axisExtentOffset));var X=Y.selectAll(\".\"+x.cn.axisExtentTopText).data(g,m);X.enter().append(\"text\").classed(x.cn.axisExtentTopText,!0).call(P),X.text((function(t){return R(t,!0)})).each((function(t){f.font(n.select(this),t.model.rangeFont)}));var 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a=c[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",l=r._tracePreGUI[t._fullData[u[e]]._fullInput.uid];if(void 0===l[s]){var f=a.constraintrange;l[s]=f||null}var p=t._fullData[u[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[h[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return s(t,e,r)-s(t,e,n)}}(r,c[e].filter(a));l[e].sort(n),c[e].filter((function(t){return!a(t)})).sort((function(t){return c[e].indexOf(t)})).forEach((function(t){l[e].splice(l[e].indexOf(t),1),l[e].splice(c[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[l[e]]},[h[e]]])}})}}).reglPrecompiled=o},55412:function(t,e,r){\"use strict\";var n=r(9829),i=r(13792).u,a=r(80337),o=r(10229),s=r(3208).rb,l=r(3208).ay,c=r(93049).extendFlat,u=r(94850).k,h=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});t.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},pattern:u,editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},h,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},h,{}),outsidetextfont:c({},h,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},h,{}),position:{valType:\"enumerated\",values:[\"top 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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=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;u0){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\"),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;ie&&e>n||r=-4;g-=2)y(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),\"tan\")}if(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=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;er&&(r=t.pull[e]);return r}function z(t,e){for(var r=[],n=0;n1?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\")}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;ei.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=(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;pMath.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;ld[2]&&(d[2]=i),sd[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;ld[2]&&(d[2]=i),sd[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 r.update(e),r}},75526:function(t,e,r){\"use strict\";var n=r(34809),i=r(36961);t.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof 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n=r(80337),i=r(9829),a=r(10229),o=r(70192),s=r(13792).u,l=r(3208).rb,c=r(87163),u=r(78032).templatedArray,h=r(80712).descriptionOnlyNumbers,f=r(93049).extendFlat,p=r(13582).overrideAll;(t.exports=p({hoverinfo:f({},i.hoverinfo,{flags:[],arrayOk:!1}),hoverlabel:o.hoverlabel,domain:s({name:\"sankey\",trace:!0}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\"},valueformat:{valType:\"string\",dflt:\".3s\",description:h(\"value\")},valuesuffix:{valType:\"string\",dflt:\"\"},arrangement:{valType:\"enumerated\",values:[\"snap\",\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"snap\"},textfont:n({autoShadowDflt:!0}),customdata:void 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r,n,i=e._length,o=e.marker,s={},c=l(o.symbol),u=l(o.angle),f=l(o.color),m=l(o.line.color),g=l(o.opacity),y=l(o.size),v=l(o.line.width);if(c||(n=d.isOpenSymbol(o.symbol)),c||f||m||g||u){s.symbols=new Array(i),s.angles=new Array(i),s.colors=new Array(i),s.borderColors=new Array(i);var x=o.symbol,_=o.angle,b=h(o,o.opacity,i),w=h(o.line,o.opacity,i);if(!l(w[0])){var T=w;for(w=Array(i),r=0;rm.TOO_MANY_POINTS||f.hasMarkers(e)?\"rect\":\"round\";if(c&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i1?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 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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 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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\")}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=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=0;r--){var n=e[r];t.removeLayer(this.layerIds[n]),t.removeSource(this.sourceIds[n])}},t.exports=function(t,e){var r,n,a,l=e[0].trace,c=l.cluster&&l.cluster.enabled,u=!0!==l.visible,h=new s(t,l.uid,c,u),f=i(t.gd,e),p=h.below=t.belowLookup[\"trace-\"+l.uid];if(c)for(h.addSource(\"circle\",f.circle,l.cluster),r=0;r850?\" Black\":i>750?\" Extra Bold\":i>650?\" Bold\":i>550?\" Semi Bold\":i>450?\" Medium\":i>350?\" Regular\":i>250?\" Light\":i>150?\" Extra Light\":\" Thin\"):\"Open 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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\")}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 n={type:e.type,id:this.layerIds[t],source:this.sourceIds[t],layout:e.layout,paint:e.paint};e.filter&&(n.filter=e.filter);for(var i,a=this.layerIds[t],o=this.subplot.getMapLayers(),s=0;s=0;r--){var i=e[r];n.removeLayer(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=0;r--){var n=e[r];t.removeLayer(this.layerIds[n]),t.removeSource(this.sourceIds[n])}},t.exports=function(t,e){var r,n,a,l=e[0].trace,c=l.cluster&&l.cluster.enabled,u=!0!==l.visible,h=new s(t,l.uid,c,u),f=i(t.gd,e),p=h.below=t.belowLookup[\"trace-\"+l.uid];if(c)for(h.addSource(\"circle\",f.circle,l.cluster),r=0;r\")}}t.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index)return o;var l=t.subplot,c=s.cd[s.index],u=s.trace;if(l.isPtInside(c))return s.xLabelVal=void 0,s.yLabelVal=void 0,i(c,u,l,s),s.hovertemplate=u.hovertemplate,o}},makeHoverPointText:i}},66939:function(t,e,r){\"use strict\";t.exports={moduleType:\"trace\",name:\"scatterpolar\",basePlotModule:r(31645),categories:[\"polar\",\"symbols\",\"showLegend\",\"scatter-like\"],attributes:r(8738),supplyDefaults:r(73749).supplyDefaults,colorbar:r(21146),formatLabels:r(33368),calc:r(13246),plot:r(43836),style:r(9408).style,styleOnSelect:r(9408).styleOnSelect,hoverPoints:r(29709).hoverPoints,selectPoints:r(32665),meta:{}}},43836:function(t,e,r){\"use strict\";var n=r(36098),i=r(63821).BADNUM;t.exports=function(t,e,r){for(var a=e.layers.frontplot.select(\"g.scatterlayer\"),o=e.xaxis,s=e.yaxis,l={xaxis:o,yaxis:s,plot:e.framework,layerClipId:e._hasClipOnAxisFalse?e.clipIds.forTraces:null},c=e.radialAxis,u=e.angularAxis,h=0;h=c&&(v.marker.cluster=d.tree),v.marker&&(v.markerSel.positions=v.markerUnsel.positions=v.marker.positions=b),v.line&&b.length>1&&l.extendFlat(v.line,s.linePositions(t,p,b)),v.text&&(l.extendFlat(v.text,{positions:b},s.textPosition(t,p,v.text,v.marker)),l.extendFlat(v.textSel,{positions:b},s.textPosition(t,p,v.text,v.markerSel)),l.extendFlat(v.textUnsel,{positions:b},s.textPosition(t,p,v.text,v.markerUnsel))),v.fill&&!f.fill2d&&(f.fill2d=!0),v.marker&&!f.scatter2d&&(f.scatter2d=!0),v.line&&!f.line2d&&(f.line2d=!0),v.text&&!f.glText&&(f.glText=!0),f.lineOptions.push(v.line),f.fillOptions.push(v.fill),f.markerOptions.push(v.marker),f.markerSelectedOptions.push(v.markerSel),f.markerUnselectedOptions.push(v.markerUnsel),f.textOptions.push(v.text),f.textSelectedOptions.push(v.textSel),f.textUnselectedOptions.push(v.textUnsel),f.selectBatch.push([]),f.unselectBatch.push([]),d.x=w,d.y=T,d.rawx=w,d.rawy=T,d.r=g,d.theta=y,d.positions=b,d._scene=f,d.index=f.count,f.count++}})),a(t,e,r)}},t.exports.reglPrecompiled={}},69595:function(t,e,r){\"use 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n=r(10721),i=r(63821).BADNUM,a=r(77272),o=r(99203),s=r(48861),l=r(26544).calcMarkerSize;t.exports=function(t,e){for(var r=t._fullLayout,c=e.subplot,u=r[c].realaxis,h=r[c].imaginaryaxis,f=u.makeCalcdata(e,\"real\"),p=h.makeCalcdata(e,\"imag\"),d=e._length,m=new Array(d),g=0;g\")}}t.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index)return o;var l=t.subplot,c=s.cd[s.index],u=s.trace;if(l.isPtInside(c))return s.xLabelVal=void 0,s.yLabelVal=void 0,i(c,u,l,s),s.hovertemplate=u.hovertemplate,o}},makeHoverPointText:i}},73304:function(t,e,r){\"use 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z=p.selectedpoints,O={};for(l=0;l1&&(u=m[v-1],f=g[v-1],d=y[v-1]),e=0;eu?\"-\":\"+\")+\"x\")).replace(\"y\",(h>f?\"-\":\"+\")+\"y\")).replace(\"z\",(p>d?\"-\":\"+\")+\"z\");var C=function(){v=0,M=[],S=[],E=[]};(!v||v2?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 n.d2l(t)*o}))}if(h.vectors=l(d(e._u,\"xaxis\"),d(e._v,\"yaxis\"),d(e._w,\"zaxis\"),u),!u)return{positions:[],cells:[]};var m=d(e._Xs,\"xaxis\"),g=d(e._Ys,\"yaxis\"),y=d(e._Zs,\"zaxis\");if(h.meshgrid=[m,g,y],h.gridFill=e._gridFill,e._slen)h.startingPositions=l(d(e._startsX,\"xaxis\"),d(e._startsY,\"yaxis\"),d(e._startsZ,\"zaxis\"));else{for(var v=g[0],x=f(m),_=f(y),b=new Array(x.length*_.length),w=0,T=0;T=0};v?(r=Math.min(y.length,_.length),l=function(t){return M(y[t])&&S(t)},h=function(t){return 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_={data:[{level:y}],traces:[d.index]},b={frame:{redraw:!1,duration:f.transitionTime},transition:{duration:f.transitionTime,easing:f.transitionEasing},mode:\"immediate\",fromcurrent:!0};o.loneUnhover(e._hoverlayer.node()),i.call(\"animate\",r,_,b)}}))}},33108:function(t,e,r){\"use strict\";var n=r(34809),i=r(78766),a=r(27983),o=r(37252);function s(t){return t.data.data.pid}e.findEntryWithLevel=function(t,r){var n;return r&&t.eachAfter((function(t){if(e.getPtId(t)===r)return n=t.copy()})),n||t},e.findEntryWithChild=function(t,r){var n;return t.eachAfter((function(t){for(var i=t.children||[],a=0;a0)},e.getMaxDepth=function(t){return t.maxdepth>=0?t.maxdepth:1/0},e.isHeader=function(t,r){return!(e.isLeaf(t)||t.depth===r._maxDepth-1)},e.getParent=function(t,r){return e.findEntryWithLevel(t,s(r))},e.listPath=function(t,r){var n=t.parent;if(!n)return[];var i=r?[n.data[r]]:[n];return e.listPath(n,r).concat(i)},e.getPath=function(t){return e.listPath(t,\"label\").join(\"/\")+\"/\"},e.formatValue=o.formatPieValue,e.formatPercent=function(t,e){var r=n.formatPercent(t,0);return\"0%\"===r&&(r=o.formatPiePercent(t,e)),r}},80809:function(t,e,r){\"use strict\";t.exports={moduleType:\"trace\",name:\"sunburst\",basePlotModule:r(14724),categories:[],animatable:!0,attributes:r(56708),layoutAttributes:r(98959),supplyDefaults:r(33459),supplyLayoutDefaults:r(75816),calc:r(14852).calc,crossTraceCalc:r(14852).crossTraceCalc,plot:r(19718).plot,style:r(98972).style,colorbar:r(21146),meta:{}}},98959:function(t){\"use strict\";t.exports={sunburstcolorway:{valType:\"colorlist\",editType:\"calc\"},extendsunburstcolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},75816:function(t,e,r){\"use strict\";var n=r(34809),i=r(98959);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"sunburstcolorway\",e.colorway),r(\"extendsunburstcolors\")}},19718:function(t,e,r){\"use strict\";var n=r(45568),i=r(92264),a=r(88640).GW,o=r(62203),s=r(34809),l=r(30635),c=r(84102),u=c.recordMinTextSize,h=c.clearMinTextSize,f=r(35734),p=r(37252).getRotationAngle,d=f.computeTransform,m=f.transformInsideText,g=r(98972).styleOne,y=r(6851).resizeText,v=r(44691),x=r(2032),_=r(33108);function b(t,r,c,h){var f=t._context.staticPlot,y=t._fullLayout,b=!y.uniformtext.mode&&_.hasTransition(h),T=n.select(c).selectAll(\"g.slice\"),k=r[0],A=k.trace,M=k.hierarchy,S=_.findEntryWithLevel(M,A.level),E=_.getMaxDepth(A),C=y._size,L=A.domain,I=C.w*(L.x[1]-L.x[0]),P=C.h*(L.y[1]-L.y[0]),z=.5*Math.min(I,P),O=k.cx=C.l+C.w*(L.x[1]+L.x[0])/2,D=k.cy=C.t+C.h*(1-L.y[0])-P/2;if(!S)return T.remove();var R=null,F={};b&&T.each((function(t){F[_.getPtId(t)]={rpx0:t.rpx0,rpx1:t.rpx1,x0:t.x0,x1:t.x1,transform:t.transform},!R&&_.isEntry(t)&&(R=t)}));var B=function(t){return i.partition().size([2*Math.PI,t.height+1])(t)}(S).descendants(),N=S.height+1,j=0,U=E;k.hasMultipleRoots&&_.isHierarchyRoot(S)&&(B=B.slice(1),N-=1,j=1,U+=1),B=B.filter((function(t){return t.y1<=U}));var V=p(A.rotation);V&&B.forEach((function(t){t.x0+=V,t.x1+=V}));var q=Math.min(N,E),H=function(t){return(t-j)/q*z},G=function(t,e){return[t*Math.cos(e),-t*Math.sin(e)]},Z=function(t){return s.pathAnnulus(t.rpx0,t.rpx1,t.x0,t.x1,O,D)},W=function(t){return O+w(t)[0]*(t.transform.rCenter||0)+(t.transform.x||0)},Y=function(t){return D+w(t)[1]*(t.transform.rCenter||0)+(t.transform.y||0)};(T=T.data(B,_.getPtId)).enter().append(\"g\").classed(\"slice\",!0),b?T.exit().transition().each((function(){var t=n.select(this);t.select(\"path.surface\").transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=_.getPtId(t),n=F[r],i=F[_.getPtId(S)];if(i){var o=(t.x1>i.x1?2*Math.PI:0)+V;e=t.rpx1X?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 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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 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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;et.length?this.clone().ior(t):t.clone().ior(this)},a.prototype.uor=function(t){return this.length>t.length?this.clone().iuor(t):t.clone().iuor(this)},a.prototype.iuand=function(t){var e;e=this.length>t.length?t:this;for(var r=0;rt.length?this.clone().iand(t):t.clone().iand(this)},a.prototype.uand=function(t){return this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;nt.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 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a=0,o=0;o>26,this.words[o]=67108863&e;for(;0!==a&&o>26,this.words[o]=67108863&e;if(0===a&&o>>13,p=0|o[1],d=8191&p,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>>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>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o>>=1)i++;return 1<>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<o)for(this.length-=o,c=0;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<=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c=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<>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:it.length)return 1;if(this.length=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){ni&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function 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=e0?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>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new _;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 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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<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]E&&(w|=1<E&&(w|=1<c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<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< 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=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=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=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;nr)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=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;xo&&(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=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;g0){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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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;au||r<0||r>u)throw new Error(\"gl-fbo: Parameters are too large for FBO\");var h=1;if(\"color\"in(n=n||{})){if((h=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(h>1){if(!c)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(h>t.getParameter(c.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+h+\" draw buffers\")}}var f=t.UNSIGNED_BYTE,p=t.getExtension(\"OES_texture_float\");if(n.float&&h>0){if(!p)throw new Error(\"gl-fbo: Context does not support floating point textures\");f=t.FLOAT}else 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x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;yi||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var 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+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 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 e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:m(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},v.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:m(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},v.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,u=0,h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],f=t.position||t.positions;if(f){var p=t.color||t.colors||[0,0,0,1],m=t.lineWidth||1,g=!1;t:for(e=1;e0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,g=!0}continue t}h[0][r]=Math.min(h[0][r],_[r],b[r]),h[1][r]=Math.max(h[1][r],_[r],b[r])}Array.isArray(p[0])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],v=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=v=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===v.length&&(v=[v[0],v[1],v[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),x=Array.isArray(m)?m.length>e-1?m[e-1]:m.length>0?m[m.length-1]:[0,0,0,1]:m;var T=s;if(s+=d(_,b),g){for(r=0;r<2;++r)i.push(_[0],_[1],_[2],b[0],b[1],b[2],T,x,y[0],y[1],y[2],y[3]);u+=2,g=!1}i.push(_[0],_[1],_[2],b[0],b[1],b[2],T,x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],T,-x,y[0],y[1],y[2],y[3],b[0],b[1],b[2],_[0],_[1],_[2],s,-x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],s,x,v[0],v[1],v[2],v[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(f[f.length-1].slice()),this.bounds=h,this.vertexCount=u,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e1.0001)return null;y+=g[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;rt&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,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;l0&&((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;ai[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],ki[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=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=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;rMath.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;n0&&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;tx.distance)continue;for(var c=0;c 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>>1;for(r=0;r=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+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 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=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},_.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},_.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(d(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(d(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){d(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l={family:t.font||\"normal\",style:t.fontStyle||\"normal\",weight:t.fontWeight||\"normal\",variant:t.fontVariant||\"normal\"},c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else for(i=[],a=[],n=0;n0){var z=0,D=_,R=[0,0,0,1],F=[0,0,0,1],B=d(p)&&d(p[0]),N=d(y)&&d(y[0]);t:for(n=0;n0?1-S[0][0]:W<0?1+S[1][0]:1,Y*=Y>0?1-S[0][1]:Y<0?1+S[1][1]:1],$=A.cells||[],J=A.positions||[];for(k=0;k<$.length;++k)for(var K=$[k],Q=0;Q<3;++Q){for(var tt=0;tt<3;++tt)C[3*z+tt]=T[tt];for(tt=0;tt<4;++tt)L[4*z+tt]=R[tt];P[z]=x;var et=J[K[Q]];I[2*z]=q*(G*et[0]-Z*et[1]+X[0]),I[2*z+1]=q*(Z*et[0]+G*et[1]+X[1]),z+=1}for($=M.edges,J=M.positions,k=0;k<$.length;++k)for(K=$[k],Q=0;Q<2;++Q){for(tt=0;tt<3;++tt)C[3*D+tt]=T[tt];for(tt=0;tt<4;++tt)L[4*D+tt]=F[tt];P[D]=x,et=J[K[Q]],I[2*D]=q*(G*et[0]-Z*et[1]+X[0]),I[2*D+1]=q*(Z*et[0]+G*et[1]+X[1]),D+=1}}}this.bounds=[u,h],this.points=s,this.pointCount=s.length,this.vertexCount=_,this.lineVertexCount=b,this.pointBuffer.update(C),this.colorBuffer.update(L),this.glyphBuffer.update(I),this.idBuffer.update(P),o.free(C),o.free(L),o.free(I),o.free(P)},_.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},4298:function(t,e,r){\"use strict\";var n=r(3236);e.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),e.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n gl_FragColor = color;\\n}\\n\"])},3161:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(4298);function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}t.exports=function(t,e){var r=t.gl,s=new o(t,i(r,[0,0,0,1,1,0,1,1]),n(r,a.boxVertex,a.boxFragment));return s.update(e),t.addOverlay(s),s};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,h=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],f=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(h=Math.max(h,c[0]),f=Math.max(f,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p0){var y=r*u;o.drawBox(h-y,f-y,p+y,f+y,a),o.drawBox(h-y,d-y,p+y,d+y,a),o.drawBox(h-y,f-y,h+y,d+y,a),o.drawBox(p-y,f-y,p+y,d+y,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},3589:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=e[0],a=e[1];return new l(t,n(t,r,a,{}),i.mallocUint8(r*a*4))};var n=r(2260),i=r(1888),a=r(9618),o=r(8828).nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var 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a||(a[s[0]]=[]),a=a[s[0]];for(var l=1;l1)for(var l=0;l 0 U ||b|| > 0.\\n // Assign z = 0, x = -b, y = a:\\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n return normalize(vec3(-v.y, v.x, 0.0));\\n } else {\\n return normalize(vec3(0.0, v.z, -v.y));\\n }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n float segmentCount = 8.0;\\n\\n float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n vec3 u = getOrthogonalVector(d);\\n vec3 v = normalize(cross(u, d));\\n\\n vec3 x = u * cos(angle) * length(d);\\n vec3 y = v * sin(angle) * length(d);\\n vec3 v3 = x + y;\\n\\n normal = normalize(v3);\\n\\n return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n // Scale the vector magnitude to stay constant with\\n // model & view changes.\\n vec3 normal;\\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n //Lighting geometry parameters\\n vec4 cameraCoordinate = view * tubePosition;\\n cameraCoordinate.xyz /= cameraCoordinate.w;\\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n // vec4 m_position = model * vec4(tubePosition, 1.0);\\n vec4 t_position = view * tubePosition;\\n gl_Position = projection * t_position;\\n\\n f_color = color;\\n f_data = tubePosition.xyz;\\n f_position = position.xyz;\\n f_uv = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n float NdotH = max(x, 0.0001);\\n float cos2Alpha = NdotH * NdotH;\\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n float roughness2 = roughness * roughness;\\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n vec3 lightDirection,\\n vec3 viewDirection,\\n vec3 surfaceNormal,\\n float roughness,\\n float fresnel) {\\n\\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n //Half angle vector\\n vec3 H = normalize(lightDirection + viewDirection);\\n\\n //Geometric term\\n float NdotH = max(dot(surfaceNormal, H), 0.0);\\n float VdotH = max(dot(viewDirection, H), 0.000001);\\n float LdotH = max(dot(lightDirection, H), 0.000001);\\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n float G = min(1.0, min(G1, G2));\\n \\n //Distribution term\\n float D = beckmannDistribution(NdotH, roughness);\\n\\n //Fresnel term\\n float F = pow(1.0 - VdotN, fresnel);\\n\\n //Multiply terms and done\\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n vec3 N = normalize(f_normal);\\n vec3 L = normalize(f_lightDirection);\\n vec3 V = normalize(f_eyeDirection);\\n\\n if(gl_FrontFacing) {\\n N = -N;\\n }\\n\\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) 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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 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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;re)return r-1}return r},s=function(t,e,r){return tr?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;nh-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 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e=t[0],r=t[1],n=t[2];return!(e_||rb||nw)},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;cS&&(S=F),D.push(F),g.push({points:I,velocities:P,divergences:D});for(var B=0;B<100*c&&I.lengthA&&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;s0)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 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;rt&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return 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>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]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;y0){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;os||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 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h=e.slice(0);h.sort();for(var f=0;f>1,s=a(t[o],e);s<=0?(0===s&&(i=o),r=o+1):s>0&&(n=o-1)}return i}function u(t,e){for(var r=new Array(t.length),i=0,o=r.length;i=t.length||0!==a(t[g],s)););}return r}function h(t,e){if(e<0)return[];for(var r=[],i=(1<>>u&1&&c.push(i[u]);e.push(c)}return s(e)},e.skeleton=h,e.boundary=function(t){for(var e=[],r=0,n=t.length;r>1:(t>>1)-1}function x(t){for(var e=y(t);;){var r=e,n=2*t+1,i=2*(t+1),a=t;if(n0;){var r=v(t);if(!(r>=0&&e0){var t=k[0];return g(0,M-1),M-=1,x(0),t}return-1}function w(t,e){var r=k[t];return c[r]===e?t:(c[r]=-1/0,_(t),b(),c[r]=e,_((M+=1)-1))}function T(t){if(!u[t]){u[t]=!0;var e=s[t],r=l[t];s[r]>=0&&(s[r]=e),l[e]>=0&&(l[e]=r),A[e]>=0&&w(A[e],m(e)),A[r]>=0&&w(A[r],m(r))}}var k=[],A=new Array(a);for(h=0;h>1;h>=0;--h)x(h);for(;;){var S=b();if(S<0||c[S]>r)break;T(S)}var E=[];for(h=0;h=0&&r>=0&&e!==r){var n=A[e],i=A[r];n!==i&&L.push([n,i])}})),i.unique(i.normalize(L)),{positions:E,edges:L}};var n=r(3250),i=r(2014)},1303:function(t,e,r){\"use 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r},t.exports.negative=function(t,e){for(var r=[],n=a(t[t.length-1],e),i=t[t.length-1],s=t[0],l=0;l0||n>0&&c<0)&&r.push(o(i,c,s,n)),c<=0&&r.push(s.slice()),n=c}return r}},3387:function(t,e,r){var n;!function(){\"use strict\";var i={not_string:/[^s]/,not_bool:/[^t]/,not_type:/[^T]/,not_primitive:/[^v]/,number:/[diefg]/,numeric_arg:/[bcdiefguxX]/,json:/[j]/,not_json:/[^j]/,text:/^[^\\x25]+/,modulo:/^\\x25{2}/,placeholder:/^\\x25(?:([1-9]\\d*)\\$|\\(([^)]+)\\))?(\\+)?(0|'[^$])?(-)?(\\d+)?(?:\\.(\\d+))?([b-gijostTuvxX])/,key:/^([a-z_][a-z_\\d]*)/i,key_access:/^\\.([a-z_][a-z_\\d]*)/i,index_access:/^\\[(\\d+)\\]/,sign:/^[+-]/};function a(t){return function(t,e){var 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6:u.push([t-.5-.25*(-n-r+a+i)/(n-r+i-a),e-.5-.25*(-i-r+a+n)/(i-r+n-a)]);break;case 7:u.push([t-.75-.25*(a+i-2*f)/(i-a),e-.75-.25*(a+n-2*f)/(n-a)]);break;case 8:u.push([t-.75-.25*(-a-i+2*f)/(a-i),e-.75-.25*(-a-n+2*f)/(a-n)]);break;case 9:u.push([t-.5-.25*(n+r+-a-i)/(r-n+a-i),e-.5-.25*(i+r+-a-n)/(r-i+a-n)]);break;case 10:u.push([t-.5-.5*(-n-r-a-i+4*f)/(n-r+a-i),e-.5]);break;case 11:u.push([t-.25-.25*(-a-i+2*f)/(a-i),e-.75-.25*(i+r-2*f)/(r-i)]);break;case 12:u.push([t-.5,e-.5-.5*(-i-r-a-n+4*f)/(i-r+a-n)]);break;case 13:u.push([t-.75-.25*(n+r-2*f)/(r-n),e-.25-.25*(-a-n+2*f)/(a-n)]);break;case 14:u.push([t-.25-.25*(-n-r+2*f)/(n-r),e-.25-.25*(-i-r+2*f)/(i-r)])}},cell:function(t,e,r,n,i,a,o,s,l){i?s.push([t,e]):s.push([e,t])}});return function(t,e){var r=[],i=[];return n(t,r,i,e),{positions:r,cells:i}}}},o={}},529:function(t,e,r){\"use strict\";t.exports=function t(e,r,i){var 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Array(16);for(var c=0;c<16;++c)this.computedMatrix[c]=.5;this.recalcMatrix(0)}var p=f.prototype;p.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},p.getDistanceLimits=function(t){var e=this.radius.bounds[0];return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},p.recalcMatrix=function(t){this.center.curve(t),this.up.curve(t),this.right.curve(t),this.radius.curve(t),this.angle.curve(t);for(var e=this.computedUp,r=this.computedRight,n=0,i=0,a=0;a<3;++a)i+=e[a]*r[a],n+=e[a]*e[a];var l=Math.sqrt(n),u=0;for(a=0;a<3;++a)r[a]-=e[a]*i/n,u+=r[a]*r[a],e[a]/=l;var h=Math.sqrt(u);for(a=0;a<3;++a)r[a]/=h;var f=this.computedToward;o(f,e,r),s(f,f);var p=Math.exp(this.computedRadius[0]),d=this.computedAngle[0],m=this.computedAngle[1],g=Math.cos(d),y=Math.sin(d),v=Math.cos(m),x=Math.sin(m),_=this.computedCenter,b=g*v,w=y*v,T=x,k=-g*x,A=-y*x,M=v,S=this.computedEye,E=this.computedMatrix;for(a=0;a<3;++a){var C=b*r[a]+w*f[a]+T*e[a];E[4*a+1]=k*r[a]+A*f[a]+M*e[a],E[4*a+2]=C,E[4*a+3]=0}var L=E[1],I=E[5],P=E[9],z=E[2],O=E[6],D=E[10],R=I*D-P*O,F=P*z-L*D,B=L*O-I*z,N=c(R,F,B);for(R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B,a=0;a<3;++a)S[a]=_[a]+E[2+4*a]*p;for(a=0;a<3;++a){u=0;for(var j=0;j<3;++j)u+=E[a+4*j]*S[j];E[12+a]=-u}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var 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this._warningHistory[t.message]||(this._warningHistory[t.message]=!0,\"undefined\"!=typeof console&&console.warn(t.message)),this._defaultValue}};var fn=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!Ye(e.expression)};fn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},fn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)};var pn=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!Ye(e.expression),this.interpolationType=n};function dn(t,e){if(\"error\"===(t=hn(t,e)).result)return t;var r=t.value.expression,n=We(r);if(!n&&!$r(e))return 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 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e=1;e\"===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=u[p+0]&&n>=u[p+1])?(o[f]=!0,a.push(c[f])):o[f]=!1}}},ri.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToCellCoord(t),c=this._convertToCellCoord(e),u=this._convertToCellCoord(r),h=this._convertToCellCoord(n),f=l;f<=u;f++)for(var p=c;p<=h;p++){var d=this.d*p+f;if((!s||s(this._convertFromCellCoord(f),this._convertFromCellCoord(p),this._convertFromCellCoord(f+1),this._convertFromCellCoord(p+1)))&&i.call(this,t,e,r,n,d,a,o,s))return}},ri.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},ri.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},ri.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=ei+this.cells.length+1+1,r=0,n=0;n=0)){var h=t[u];c[u]=ai[l].shallow.indexOf(u)>=0?h:ui(h,e)}t instanceof Error&&(c.message=t.message)}if(c.$name)throw new Error(\"$name property is reserved for worker serialization logic.\");return\"Object\"!==l&&(c.$name=l),c}throw new Error(\"can't serialize object of type \"+typeof t)}function 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Uint16Array(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.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Qi);ba.prototype.bytesPerElement=4,oi(\"StructArrayLayout2ui4\",ba);var wa=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){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Qi);wa.prototype.bytesPerElement=2,oi(\"StructArrayLayout1ui2\",wa);var Ta=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,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.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Qi);Ta.prototype.bytesPerElement=16,oi(\"StructArrayLayout4f16\",Ta);var ka=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return 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this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Ki);Ma.prototype.size=48;var Sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Ma(this,t)},e}(ga);oi(\"PlacedSymbolArray\",Sa);var Ea=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return 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S=o.content;x=jc(f,0,S[0]),b=jc(p,0,S[1]),_=jc(f,S[0],S[2]),w=jc(p,S[1],S[3]),T=S[0]-x,A=S[1]-b,k=S[2]-S[0]-_,M=S[3]-S[1]-w}var E=function(n,i,l,c){var f=Vc(n.stretch-x,_,u,t.left),p=qc(n.fixed-T,k,n.stretch,m),d=Vc(i.stretch-b,w,h,t.top),y=qc(i.fixed-A,M,i.stretch,g),v=Vc(l.stretch-x,_,u,t.left),S=qc(l.fixed-T,k,l.stretch,m),E=Vc(c.stretch-b,w,h,t.top),C=qc(c.fixed-A,M,c.stretch,g),L=new a(f,d),I=new a(v,d),P=new a(v,E),z=new a(f,E),O=new a(p/s,y/s),D=new a(S/s,C/s),R=e*Math.PI/180;if(R){var F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];L._matMult(N),I._matMult(N),z._matMult(N),P._matMult(N)}var j=n.stretch+n.fixed,U=l.stretch+l.fixed,V=i.stretch+i.fixed,q=c.stretch+c.fixed;return{tl:L,tr:I,bl:z,br:P,tex:{x:o.paddedRect.x+Bc+j,y:o.paddedRect.y+Bc+V,w:U-j,h:q-V},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:O,pixelOffsetBR:D,minFontScaleX:k/s/u,minFontScaleY:M/s/h,isSDF:r}};if(n&&(o.stretchX||o.stretchY))for(var C=Uc(f,y,m),L=Uc(p,v,g),I=0;I0&&(d=Math.max(10,d),this.circleDiameter=d)}else{var m=o.top*s-l,g=o.bottom*s+l,y=o.left*s-l,v=o.right*s+l,x=o.collisionPadding;if(x&&(y-=x[0]*s,m-=x[1]*s,v+=x[2]*s,g+=x[3]*s),u){var _=new a(y,m),b=new a(v,m),w=new a(y,g),T=new a(v,g),k=u*Math.PI/180;_._rotate(k),b._rotate(k),w._rotate(k),T._rotate(k),y=Math.min(_.x,b.x,w.x,T.x),v=Math.max(_.x,b.x,w.x,T.x),m=Math.min(_.y,b.y,w.y,T.y),g=Math.max(_.y,b.y,w.y,T.y)}t.emplaceBack(e.x,e.y,y,m,v,g,r,n,i)}this.boxEndIndex=t.length},Gc=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=Zc),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function Zc(t,e){return te?1:0}function Wc(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,i=1/0,o=-1/0,s=-1/0,l=t[0],c=0;co)&&(o=u.x),(!c||u.y>s)&&(s=u.y)}var h=o-n,f=s-i,p=Math.min(h,f),d=p/2,m=new Gc([],Yc);if(0===p)return new a(n,i);for(var g=n;gv.d||!v.d)&&(v=_,r&&console.log(\"found best %d after %d probes\",Math.round(1e4*_.d)/1e4,x)),_.max-v.d<=e||(d=_.h/2,m.push(new Xc(_.p.x-d,_.p.y-d,d,t)),m.push(new Xc(_.p.x+d,_.p.y-d,d,t)),m.push(new Xc(_.p.x-d,_.p.y+d,d,t)),m.push(new Xc(_.p.x+d,_.p.y+d,d,t)),x+=4)}return r&&(console.log(\"num probes: \"+x),console.log(\"best distance: \"+v.d)),v.p}function Yc(t,e){return e.max-t.max}function Xc(t,e,r,n){this.p=new a(t,e),this.h=r,this.d=function(t,e){for(var r=!1,n=1/0,i=0;it.y!=u.y>t.y&&t.x<(u.x-c.x)*(t.y-c.y)/(u.y-c.y)+c.x&&(r=!r),n=Math.min(n,Eo(t,c,u))}return(r?1:-1)*Math.sqrt(n)}(this.p,n),this.max=this.d+this.h*Math.SQRT2}Gc.prototype.push=function(t){this.data.push(t),this.length++,this._up(this.length-1)},Gc.prototype.pop=function(){if(0!==this.length){var t=this.data[0],e=this.data.pop();return this.length--,this.length>0&&(this.data[0]=e,this._down(0)),t}},Gc.prototype.peek=function(){return this.data[0]},Gc.prototype._up=function(t){for(var e=this.data,r=this.compare,n=e[t];t>0;){var i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n},Gc.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,i=e[t];t=0)break;e[t]=o,t=a}e[t]=i};var $c=7,Jc=Number.POSITIVE_INFINITY;function Kc(t,e){return e[1]!==Jc?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case\"top-right\":case\"top-left\":case\"top\":i=r-$c;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=-r+$c}switch(t){case\"top-right\":case\"bottom-right\":case\"right\":n=-e;break;case\"top-left\":case\"bottom-left\":case\"left\":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case\"top-right\":case\"top-left\":n=i-$c;break;case\"bottom-right\":case\"bottom-left\":n=-i+$c;break;case\"bottom\":n=-e+$c;break;case\"top\":n=e-$c}switch(t){case\"top-right\":case\"bottom-right\":r=-i;break;case\"top-left\":case\"bottom-left\":r=i;break;case\"left\":r=e;break;case\"right\":r=-e}return[r,n]}(t,e[0])}function Qc(t){switch(t){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}var tu=255,eu=tu*Ac;function ru(t,e,r,n,i,o,s,l,c,u,h,f,p,d,m){var g=function(t,e,r,n,i,o,s,l){for(var c=n.layout.get(\"text-rotate\").evaluate(o,{})*Math.PI/180,u=[],h=0,f=e.positionedLines;heu&&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])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=0;for(var z=0,O=k.sections;z=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l0},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;i1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},oi(\"SymbolBucket\",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\",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(\"\"===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(\"\"===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:\"\",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: , lat: }, an object {lon: , lat: }, or an array of [, ]\")};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<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>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.wrapt.wrap)&&(this.overscaledZt.overscaledZ)&&(this.canonical.xt.canonical.x)&&this.canonical.y=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},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=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=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=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;yn)i=!1;else if(e)if(this.expirationTimeft&&(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;n0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=er,t.offscreenCanvasSupported=_t,t.ortho=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},t.parseGlyphPBF=function(t){return new Pl(t).readFields(Ql,[])},t.pbf=Pl,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=po/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,c=t.layers[0]._unevaluatedLayout._values,u={};if(\"composite\"===t.textSizeData.kind){var h=t.textSizeData,f=h.minZoom,p=h.maxZoom;u.compositeTextSizes=[c[\"text-size\"].possiblyEvaluate(new Oi(f),o),c[\"text-size\"].possiblyEvaluate(new Oi(p),o)]}if(\"composite\"===t.iconSizeData.kind){var d=t.iconSizeData,m=d.minZoom,g=d.maxZoom;u.compositeIconSizes=[c[\"icon-size\"].possiblyEvaluate(new Oi(m),o),c[\"icon-size\"].possiblyEvaluate(new Oi(g),o)]}u.layoutTextSize=c[\"text-size\"].possiblyEvaluate(new Oi(t.zoom+1),o),u.layoutIconSize=c[\"icon-size\"].possiblyEvaluate(new Oi(t.zoom+1),o),u.textMaxSize=c[\"text-size\"].possiblyEvaluate(new Oi(18));for(var y=l.get(\"text-line-height\")*Cl,v=\"map\"===l.get(\"text-rotation-alignment\")&&\"point\"!==l.get(\"symbol-placement\"),x=l.get(\"text-keep-upright\"),_=l.get(\"text-size\"),b=function(){var a=T[w],s=l.get(\"text-font\").evaluate(a,{},o).join(\",\"),c=_.evaluate(a,{},o),h=u.layoutTextSize.evaluate(a,{},o),f=u.layoutIconSize.evaluate(a,{},o),p={horizontal:{},vertical:void 0},d=a.text,m=[0,0];if(d){var g=d.toString(),b=l.get(\"text-letter-spacing\").evaluate(a,{},o)*Cl,A=function(t){for(var e=0,r=t;e=po||h.y<0||h.y>=po||function(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,w,T,A){var M,S,E,C,L,I=t.addToLineVertexArray(e,r),P=0,z=0,O=0,D=0,R=-1,F=-1,B={},N=ja(\"\"),j=0,U=0;if(void 0===s._unevaluatedLayout.getValue(\"text-radial-offset\")?(j=(M=s.layout.get(\"text-offset\").evaluate(_,{},T).map((function(t){return t*Cl})))[0],U=M[1]):(j=s.layout.get(\"text-radial-offset\").evaluate(_,{},T)*Cl,U=Jc),t.allowVerticalPlacement&&n.vertical){var V=s.layout.get(\"text-rotate\").evaluate(_,{},T)+90,q=n.vertical;C=new Hc(l,e,c,u,h,q,f,p,d,V),o&&(L=new Hc(l,e,c,u,h,o,g,y,d,V))}if(i){var H=s.layout.get(\"icon-rotate\").evaluate(_,{}),G=\"none\"!==s.layout.get(\"icon-text-fit\"),Z=Nc(i,H,w,G),W=o?Nc(o,H,w,G):void 0;E=new Hc(l,e,c,u,h,i,g,y,!1,H),P=4*Z.length;var Y=t.iconSizeData,X=null;\"source\"===Y.kind?(X=[Ac*s.layout.get(\"icon-size\").evaluate(_,{})])[0]>eu&&k(t.layerIds[0]+': Value for \"icon-size\" is >= '+tu+'. Reduce your \"icon-size\".'):\"composite\"===Y.kind&&((X=[Ac*b.compositeIconSizes[0].evaluate(_,{},T),Ac*b.compositeIconSizes[1].evaluate(_,{},T)])[0]>eu||X[1]>eu)&&k(t.layerIds[0]+': Value for \"icon-size\" is >= '+tu+'. Reduce your \"icon-size\".'),t.addSymbols(t.icon,Z,X,x,v,_,!1,e,I.lineStartIndex,I.lineLength,-1,T),R=t.icon.placedSymbolArray.length-1,W&&(z=4*W.length,t.addSymbols(t.icon,W,X,x,v,_,lc.vertical,e,I.lineStartIndex,I.lineLength,-1,T),F=t.icon.placedSymbolArray.length-1)}for(var $ in n.horizontal){var J=n.horizontal[$];if(!S){N=ja(J.text);var K=s.layout.get(\"text-rotate\").evaluate(_,{},T);S=new Hc(l,e,c,u,h,J,f,p,d,K)}var Q=1===J.positionedLines.length;if(O+=ru(t,e,J,a,s,d,_,m,I,n.vertical?lc.horizontal:lc.horizontalOnly,Q?Object.keys(n.horizontal):[$],B,R,b,T),Q)break}n.vertical&&(D+=ru(t,e,n.vertical,a,s,d,_,m,I,lc.vertical,[\"vertical\"],B,F,b,T));var tt=S?S.boxStartIndex:t.collisionBoxArray.length,et=S?S.boxEndIndex:t.collisionBoxArray.length,rt=C?C.boxStartIndex:t.collisionBoxArray.length,nt=C?C.boxEndIndex:t.collisionBoxArray.length,it=E?E.boxStartIndex:t.collisionBoxArray.length,at=E?E.boxEndIndex:t.collisionBoxArray.length,ot=L?L.boxStartIndex:t.collisionBoxArray.length,st=L?L.boxEndIndex:t.collisionBoxArray.length,lt=-1,ct=function(t,e){return t&&t.circleDiameter?Math.max(t.circleDiameter,e):e};lt=ct(S,lt),lt=ct(C,lt),lt=ct(E,lt);var ut=(lt=ct(L,lt))>-1?1:0;ut&&(lt*=A/Cl),t.glyphOffsetArray.length>=fu.MAX_GLYPHS&&k(\"Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\"),void 0!==_.sortKey&&t.addToSortKeyRanges(t.symbolInstances.length,_.sortKey),t.symbolInstances.emplaceBack(e.x,e.y,B.right>=0?B.right:-1,B.center>=0?B.center:-1,B.left>=0?B.left:-1,B.vertical||-1,R,F,N,tt,et,rt,nt,it,at,ot,st,c,O,D,P,z,ut,0,f,j,U,lt)}(t,h,s,r,n,i,f,t.layers[0],t.collisionBoxArray,e.index,e.sourceLayerIndex,t.index,v,w,M,l,_,T,S,d,e,a,c,u,o)};if(\"line\"===E)for(var P=0,z=Fc(e.geometry,0,0,po,po);P1){var U=Oc(j,A,r.vertical||m,n,g,x);U&&I(j,U)}}else if(\"Polygon\"===e.type)for(var V=0,q=Fs(e.geometry,0);V=E.maxzoom||\"none\"!==E.visibility&&(o(S,this.zoom,n),(m[E.id]=E.createBucket({index:u.bucketLayerIDs.length,layers:S,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:_,sourceID:this.source})).populate(b,g,this.tileID.canonical),u.bucketLayerIDs.push(S.map((function(t){return t.id}))))}}}var C=t.mapObject(g.glyphDependencies,(function(t){return Object.keys(t).map(Number)}));Object.keys(C).length?a.send(\"getGlyphs\",{uid:this.uid,stacks:C},(function(t,e){h||(h=t,f=e,P.call(l))})):f={};var L=Object.keys(g.iconDependencies);L.length?a.send(\"getImages\",{icons:L,source:this.source,tileID:this.tileID,type:\"icons\"},(function(t,e){h||(h=t,p=e,P.call(l))})):p={};var I=Object.keys(g.patternDependencies);function P(){if(h)return s(h);if(f&&p&&d){var e=new i(f),r=new t.ImageAtlas(p,d);for(var a in m){var l=m[a];l instanceof t.SymbolBucket?(o(l.layers,this.zoom,n),t.performSymbolLayout(l,f,e.positions,p,r.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):l.hasPattern&&(l instanceof t.LineBucket||l instanceof t.FillBucket||l instanceof t.FillExtrusionBucket)&&(o(l.layers,this.zoom,n),l.addFeatures(g,this.tileID.canonical,r.patternPositions))}this.status=\"done\",s(null,{buckets:t.values(m).filter((function(t){return!t.isEmpty()})),featureIndex:u,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:e.image,imageAtlas:r,glyphMap:this.returnDependencies?f:null,iconMap:this.returnDependencies?p:null,glyphPositions:this.returnDependencies?e.positions:null})}}I.length?a.send(\"getImages\",{icons:I,source:this.source,tileID:this.tileID,type:\"patterns\"},(function(t,e){h||(h=t,d=e,P.call(l))})):d={},P.call(this)};var l=function(t,e,r,n){this.actor=t,this.layerIndex=e,this.availableImages=r,this.loadVectorData=n||s,this.loading={},this.loaded={}};l.prototype.loadTile=function(e,r){var n=this,i=e.uid;this.loading||(this.loading={});var o=!!(e&&e.request&&e.request.collectResourceTiming)&&new t.RequestPerformance(e.request),s=this.loading[i]=new a(e);s.abort=this.loadVectorData(e,(function(e,a){if(delete n.loading[i],e||!a)return s.status=\"done\",n.loaded[i]=s,r(e);var l=a.rawData,c={};a.expires&&(c.expires=a.expires),a.cacheControl&&(c.cacheControl=a.cacheControl);var u={};if(o){var h=o.finish();h&&(u.resourceTiming=JSON.parse(JSON.stringify(h)))}s.vectorTile=a.vectorTile,s.parse(a.vectorTile,n.layerIndex,n.availableImages,n.actor,(function(e,n){if(e||!n)return r(e);r(null,t.extend({rawTileData:l.slice(0)},n,c,u))})),n.loaded=n.loaded||{},n.loaded[i]=s}))},l.prototype.reloadTile=function(t,e){var r=this,n=this.loaded,i=t.uid,a=this;if(n&&n[i]){var o=n[i];o.showCollisionBoxes=t.showCollisionBoxes;var s=function(t,n){var i=o.reloadCallback;i&&(delete o.reloadCallback,o.parse(o.vectorTile,a.layerIndex,r.availableImages,a.actor,i)),e(t,n)};\"parsing\"===o.status?o.reloadCallback=s:\"done\"===o.status&&(o.vectorTile?o.parse(o.vectorTile,this.layerIndex,this.availableImages,this.actor,s):s())}},l.prototype.abortTile=function(t,e){var r=this.loading,n=t.uid;r&&r[n]&&r[n].abort&&(r[n].abort(),delete r[n]),e()},l.prototype.removeTile=function(t,e){var r=this.loaded,n=t.uid;r&&r[n]&&delete r[n],e()};var c=t.window.ImageBitmap,u=function(){this.loaded={}};u.prototype.loadTile=function(e,r){var n=e.uid,i=e.encoding,a=e.rawImageData,o=c&&a instanceof c?this.getImageData(a):a,s=new t.DEMData(n,o,i);this.loaded=this.loaded||{},this.loaded[n]=s,r(null,s)},u.prototype.getImageData=function(e){this.offscreenCanvas&&this.offscreenCanvasContext||(this.offscreenCanvas=new OffscreenCanvas(e.width,e.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext(\"2d\")),this.offscreenCanvas.width=e.width,this.offscreenCanvas.height=e.height,this.offscreenCanvasContext.drawImage(e,0,0,e.width,e.height);var r=this.offscreenCanvasContext.getImageData(-1,-1,e.width+2,e.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new t.RGBAImage({width:r.width,height:r.height},r.data)},u.prototype.removeTile=function(t){var e=this.loaded,r=t.uid;e&&e[r]&&delete e[r]};var h=function t(e,r){var n,i=e&&e.type;if(\"FeatureCollection\"===i)for(n=0;n=0!=!!e&&t.reverse()}var d=t.vectorTile.VectorTileFeature.prototype.toGeoJSON,m=function(e){this._feature=e,this.extent=t.EXTENT,this.type=e.type,this.properties=e.tags,\"id\"in e&&!isNaN(e.id)&&(this.id=parseInt(e.id,10))};m.prototype.loadGeometry=function(){if(1===this._feature.type){for(var e=[],r=0,n=this._feature.geometry;r>31}function I(t,e){for(var r=t.loadGeometry(),n=t.type,i=0,a=0,o=r.length,s=0;s>1;O(t,e,o,n,i,a%2),z(t,e,r,n,o-1,a+1),z(t,e,r,o+1,i,a+1)}}function O(t,e,r,n,i,a){for(;i>n;){if(i-n>600){var o=i-n+1,s=r-n+1,l=Math.log(o),c=.5*Math.exp(2*l/3),u=.5*Math.sqrt(l*c*(o-c)/o)*(s-o/2<0?-1:1);O(t,e,r,Math.max(n,Math.floor(r-s*c/o+u)),Math.min(i,Math.floor(r+(o-s)*c/o+u)),a)}var h=e[2*r+a],f=n,p=i;for(D(t,e,n,r),e[2*i+a]>h&&D(t,e,n,i);fh;)p--}e[2*n+a]===h?D(t,e,n,p):D(t,e,++p,i),p<=r&&(n=p+1),r<=p&&(i=p-1)}}function D(t,e,r,n){R(t,r,n),R(e,2*r,2*n),R(e,2*r+1,2*n+1)}function R(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}function F(t,e,r,n){var i=t-r,a=e-n;return i*i+a*a}b.fromVectorTileJs=w,b.fromGeojsonVt=T,b.GeoJSONWrapper=k;var B=function(t){return t[0]},N=function(t){return t[1]},j=function(t,e,r,n,i){void 0===e&&(e=B),void 0===r&&(r=N),void 0===n&&(n=64),void 0===i&&(i=Float64Array),this.nodeSize=n,this.points=t;for(var a=t.length<65536?Uint16Array:Uint32Array,o=this.ids=new a(t.length),s=this.coords=new i(2*t.length),l=0;l=r&&s<=i&&l>=n&&l<=a&&u.push(t[d]);else{var m=Math.floor((p+f)/2);s=e[2*m],l=e[2*m+1],s>=r&&s<=i&&l>=n&&l<=a&&u.push(t[m]);var g=(h+1)%2;(0===h?r<=s:n<=l)&&(c.push(p),c.push(m-1),c.push(g)),(0===h?i>=s:a>=l)&&(c.push(m+1),c.push(f),c.push(g))}}return u}(this.ids,this.coords,t,e,r,n,this.nodeSize)},j.prototype.within=function(t,e,r){return function(t,e,r,n,i,a){for(var o=[0,t.length-1,0],s=[],l=i*i;o.length;){var c=o.pop(),u=o.pop(),h=o.pop();if(u-h<=a)for(var f=h;f<=u;f++)F(e[2*f],e[2*f+1],r,n)<=l&&s.push(t[f]);else{var p=Math.floor((h+u)/2),d=e[2*p],m=e[2*p+1];F(d,m,r,n)<=l&&s.push(t[p]);var g=(c+1)%2;(0===c?r-i<=d:n-i<=m)&&(o.push(h),o.push(p-1),o.push(g)),(0===c?r+i>=d:n+i>=m)&&(o.push(p+1),o.push(u),o.push(g))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var U={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},V=function(t){this.options=X(Object.create(U),t),this.trees=new Array(this.options.maxZoom+1)};function q(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function H(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:W(n),y:Y(i),zoom:1/0,index:e,parentId:-1}}function G(t){return{type:\"Feature\",id:t.id,properties:Z(t),geometry:{type:\"Point\",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function Z(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+\"k\":e>=1e3?Math.round(e/100)/10+\"k\":e;return X(X({},t.properties),{cluster:!0,cluster_id:t.id,point_count:e,point_count_abbreviated:r})}function W(t){return t/360+.5}function Y(t){var e=Math.sin(t*Math.PI/180),r=.5-.25*Math.log((1+e)/(1-e))/Math.PI;return r<0?0:r>1?1:r}function X(t,e){for(var r in e)t[r]=e[r];return t}function $(t){return t.x}function J(t){return t.y}function K(t,e,r,n){for(var i,a=n,o=r-e>>1,s=r-e,l=t[e],c=t[e+1],u=t[r],h=t[r+1],f=e+3;fa)i=f,a=p;else if(p===a){var d=Math.abs(f-o);dn&&(i-e>3&&K(t,e,i,n),t[i+2]=a,r-i>3&&K(t,i,r,n))}function Q(t,e,r,n,i,a){var o=i-r,s=a-n;if(0!==o||0!==s){var l=((t-r)*o+(e-n)*s)/(o*o+s*s);l>1?(r=i,n=a):l>0&&(r+=o*l,n+=s*l)}return(o=t-r)*o+(s=e-n)*s}function tt(t,e,r,n){var i={id:void 0===t?null:t,type:e,geometry:r,tags:n,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};return function(t){var e=t.geometry,r=t.type;if(\"Point\"===r||\"MultiPoint\"===r||\"LineString\"===r)et(t,e);else if(\"Polygon\"===r||\"MultiLineString\"===r)for(var n=0;n0&&(o+=n?(i*c-l*a)/2:Math.sqrt(Math.pow(l-i,2)+Math.pow(c-a,2))),i=l,a=c}var u=e.length-3;e[2]=1,K(e,0,u,r),e[u+2]=1,e.size=Math.abs(o),e.start=0,e.end=e.size}function at(t,e,r,n){for(var i=0;i1?1:r}function lt(t,e,r,n,i,a,o,s){if(n/=e,a>=(r/=e)&&o=n)return null;for(var l=[],c=0;c=r&&d=n)){var m=[];if(\"Point\"===f||\"MultiPoint\"===f)ct(h,m,r,n,i);else if(\"LineString\"===f)ut(h,m,r,n,i,!1,s.lineMetrics);else if(\"MultiLineString\"===f)ft(h,m,r,n,i,!1);else if(\"Polygon\"===f)ft(h,m,r,n,i,!0);else if(\"MultiPolygon\"===f)for(var g=0;g=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function ut(t,e,r,n,i,a,o){for(var s,l,c=ht(t),u=0===i?dt:mt,h=t.start,f=0;fr&&(l=u(c,p,d,g,y,r),o&&(c.start=h+s*l)):v>n?x=r&&(l=u(c,p,d,g,y,r),_=!0),x>n&&v<=n&&(l=u(c,p,d,g,y,n),_=!0),!a&&_&&(o&&(c.end=h+s*l),e.push(c),c=ht(t)),o&&(h+=s)}var b=t.length-3;p=t[b],d=t[b+1],m=t[b+2],(v=0===i?p:d)>=r&&v<=n&&pt(c,p,d,m),b=c.length-3,a&&b>=3&&(c[b]!==c[0]||c[b+1]!==c[1])&&pt(c,c[0],c[1],c[2]),c.length&&e.push(c)}function ht(t){var e=[];return e.size=t.size,e.start=t.start,e.end=t.end,e}function ft(t,e,r,n,i,a){for(var o=0;oo.maxX&&(o.maxX=u),h>o.maxY&&(o.maxY=h)}return o}function bt(t,e,r,n){var i=e.geometry,a=e.type,o=[];if(\"Point\"===a||\"MultiPoint\"===a)for(var s=0;s0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;lo)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n0===e)for(n=0,i=t.length;n24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n=n;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));ue&&(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;T1)for(var E=0,C=f;E>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<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<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<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 object.\"));h(o,!0);try{if(n.filter){var s=t.createExpression(n.filter,{type:\"boolean\",\"property-type\":\"data-driven\",overridable:!1,transition:!1});if(\"error\"===s.result)throw new Error(s.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));var l=o.features.filter((function(t){return s.value.evaluate({zoom:0},t)}));o={type:\"FeatureCollection\",features:l}}e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c=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=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i1&&(l=t[++s]);var 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;c1&&(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=n&&e.x=i&&e.y0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+10&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),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;or.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,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];tthis.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},j.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Ot(this._source.type)){for(var c={},u={},h=0,f=Object.keys(l);hthis._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;a0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),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=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=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.length0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var 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;yMath.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.yn.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,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;M0?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;O0?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)=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;s0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var 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=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;yo*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var 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=1;I--)L.push(E.path[I]);for(var P=1;P0){for(var R=L[0].clone(),F=L[0].clone(),B=1;B=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[L]:F.xM.x||F.yM.y?[]:t.clipLine([L],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N=this.screenRightBoundary||nthis.screenBottomBoundary},me.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t=0&&e0?(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;i0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,f={box:[],offscreen:!1},p=v?2*N.length:N.length,d=0;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=0;--E){var C=S[E];M(o.symbolInstances.get(C),o.collisionArrays[C])}else for(var L=e.symbolInstanceStart;L=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];o0||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;gt},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._currentTileIndex2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;nt.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u1?\"@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;r0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._afterImageUpdated(e)},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._afterImageUpdated(e)},r.prototype._afterImageUpdated=function(e){this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.dispatcher.broadcast(\"setImages\",this._availableImages),this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new 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=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] 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>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();_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;d0){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=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;I0){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;h256&&this.clearStencil(),r.setColorMode(Ct.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer0?e.pop():null},Sn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Sn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new Ar(this.context,t,wr[t],e,rn[t],this._showOverdrawInspector)),this.cache[r]},Sn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Sn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Sn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Sn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var En=function(t,e){this.points=t,this.planes=e};En.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new En(a,o)};var 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=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;hthis.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&&re.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=En.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var 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<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)-ao&&(i=o-g)}if(this.lngRange){var y=p.x,v=c.x/2;y-vl&&(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=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.duration0&&r-e[0].time>160;)e.shift()},Nn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n=this._clickTolerance||this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.dblclick=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseover=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.mouseout=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.touchstart=function(t){return this._firePreventable(new qn(t.type,this._map,t))},Gn.prototype.touchmove=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchend=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchcancel=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var 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;nthis.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n30)&&(this.aborted=!0)}}},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)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,!(sMath.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;aa?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=Te.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)180?-360:r<-180?360:0}},r}(t.Evented),Ei=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_toggleAttribution\",\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Ei.prototype.getDefaultPosition=function(){return\"bottom-right\"},Ei.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._compactButton=r.create(\"button\",\"mapboxgl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),this._innerContainer.setAttribute(\"role\",\"list\"),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Ei.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Ei.prototype._setElementTitle=function(t,e){var r=this._map._getUIString(\"AttributionControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)},Ei.prototype._toggleAttribution=function(){this._container.classList.contains(\"mapboxgl-compact-show\")?(this._container.classList.remove(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"false\")):(this._container.classList.add(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"true\"))},Ei.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Ei.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\",\"mapboxgl-compact-show\")};var 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;re.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>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()=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()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;o180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ui.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ui.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ui.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ui.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ui.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ui.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ui.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ui.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ui.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ui.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)=r}this._isDragging&&(this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\")))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._pointerdownPos=t.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),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.longitudee.getEast()||r.latitudee.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&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+\" \"+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=\"×\",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.ythis._map.transform.height-c?[\"bottom\"]:[],i.xthis._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. 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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=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=tthis.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 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e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},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 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o(8+(t-=this.jdEpoch)+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s(20+(t-=this.jdEpoch),20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},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=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 this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(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;r0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var c=t-this.toJD(l,1,1)+1,u=c<=186?Math.ceil(c/31):Math.ceil((c-6)/30),h=t-this.toJD(l,u,1)+1;return this.newDate(l,u,h)}}),n.calendars.persian=a,n.calendars.jalali=a},84756: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 n.baseCalendar,i(o.prototype,{name:\"Taiwan\",jdEpoch:2419402.5,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(e.year()),a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},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 n.baseCalendar,i(o.prototype,{name:\"Thai\",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(e.year()),a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},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;ar)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;ne);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,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 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0===i?0:1===e?a/i:(Math.pow(e,a)-1)/(Math.pow(e,i)-1)}(r,n,t.stops[a][0],t.stops[a+1][0]),s=t.stops[a][1],l=t.stops[a+1][1],c=Pe[e.type]||gn;return\"function\"==typeof s.evaluate?{evaluate(...e){const r=s.evaluate.apply(void 0,e),n=l.evaluate.apply(void 0,e);if(void 0!==r&&void 0!==n)return c(r,n,o,t.colorSpace)}}:c(s,l,o,t.colorSpace)}function wn(t,e,r){switch(e.type){case\"color\":r=Xt.parse(r);break;case\"formatted\":r=Kt.fromString(r.toString());break;case\"resolvedImage\":r=re.fromString(r.toString());break;case\"padding\":r=Qt.parse(r);break;default:dn(r)===e.type||\"enum\"===e.type&&e.values[r]||(r=void 0)}return vn(r,t.default,e.default)}Qr.register(Kr,{error:[{kind:\"error\"},[ut],(t,[e])=>{throw new le(e.evaluate(t))}],typeof:[ut,[dt],(t,[e])=>bt(ae(e.evaluate(t)))],\"to-rgba\":[_t(ct,4),[ft],(t,[e])=>{const[r,n,i,a]=e.evaluate(t).rgb;return[255*r,255*n,255*i,a]}],rgb:[ft,[ct,ct,ct],tn],rgba:[ft,[ct,ct,ct,ct],tn],has:{type:ht,overloads:[[[ut],(t,[e])=>en(e.evaluate(t),t.properties())],[[ut,pt],(t,[e,r])=>en(e.evaluate(t),r.evaluate(t))]]},get:{type:dt,overloads:[[[ut],(t,[e])=>rn(e.evaluate(t),t.properties())],[[ut,pt],(t,[e,r])=>rn(e.evaluate(t),r.evaluate(t))]]},\"feature-state\":[dt,[ut],(t,[e])=>rn(e.evaluate(t),t.featureState||{})],properties:[pt,[],t=>t.properties()],\"geometry-type\":[ut,[],t=>t.geometryType()],id:[dt,[],t=>t.id()],zoom:[ct,[],t=>t.globals.zoom],\"heatmap-density\":[ct,[],t=>t.globals.heatmapDensity||0],\"line-progress\":[ct,[],t=>t.globals.lineProgress||0],accumulated:[dt,[],t=>void 0===t.globals.accumulated?null:t.globals.accumulated],\"+\":[ct,nn(ct),(t,e)=>{let r=0;for(const n of e)r+=n.evaluate(t);return r}],\"*\":[ct,nn(ct),(t,e)=>{let r=1;for(const n of e)r*=n.evaluate(t);return r}],\"-\":{type:ct,overloads:[[[ct,ct],(t,[e,r])=>e.evaluate(t)-r.evaluate(t)],[[ct],(t,[e])=>-e.evaluate(t)]]},\"/\":[ct,[ct,ct],(t,[e,r])=>e.evaluate(t)/r.evaluate(t)],\"%\":[ct,[ct,ct],(t,[e,r])=>e.evaluate(t)%r.evaluate(t)],ln2:[ct,[],()=>Math.LN2],pi:[ct,[],()=>Math.PI],e:[ct,[],()=>Math.E],\"^\":[ct,[ct,ct],(t,[e,r])=>Math.pow(e.evaluate(t),r.evaluate(t))],sqrt:[ct,[ct],(t,[e])=>Math.sqrt(e.evaluate(t))],log10:[ct,[ct],(t,[e])=>Math.log(e.evaluate(t))/Math.LN10],ln:[ct,[ct],(t,[e])=>Math.log(e.evaluate(t))],log2:[ct,[ct],(t,[e])=>Math.log(e.evaluate(t))/Math.LN2],sin:[ct,[ct],(t,[e])=>Math.sin(e.evaluate(t))],cos:[ct,[ct],(t,[e])=>Math.cos(e.evaluate(t))],tan:[ct,[ct],(t,[e])=>Math.tan(e.evaluate(t))],asin:[ct,[ct],(t,[e])=>Math.asin(e.evaluate(t))],acos:[ct,[ct],(t,[e])=>Math.acos(e.evaluate(t))],atan:[ct,[ct],(t,[e])=>Math.atan(e.evaluate(t))],min:[ct,nn(ct),(t,e)=>Math.min(...e.map((e=>e.evaluate(t))))],max:[ct,nn(ct),(t,e)=>Math.max(...e.map((e=>e.evaluate(t))))],abs:[ct,[ct],(t,[e])=>Math.abs(e.evaluate(t))],round:[ct,[ct],(t,[e])=>{const r=e.evaluate(t);return r<0?-Math.round(-r):Math.round(r)}],floor:[ct,[ct],(t,[e])=>Math.floor(e.evaluate(t))],ceil:[ct,[ct],(t,[e])=>Math.ceil(e.evaluate(t))],\"filter-==\":[ht,[ut,dt],(t,[e,r])=>t.properties()[e.value]===r.value],\"filter-id-==\":[ht,[dt],(t,[e])=>t.id()===e.value],\"filter-type-==\":[ht,[ut],(t,[e])=>t.geometryType()===e.value],\"filter-<\":[ht,[ut,dt],(t,[e,r])=>{const n=t.properties()[e.value],i=r.value;return typeof n==typeof i&&n{const r=t.id(),n=e.value;return typeof r==typeof n&&r\":[ht,[ut,dt],(t,[e,r])=>{const n=t.properties()[e.value],i=r.value;return typeof n==typeof i&&n>i}],\"filter-id->\":[ht,[dt],(t,[e])=>{const r=t.id(),n=e.value;return typeof r==typeof n&&r>n}],\"filter-<=\":[ht,[ut,dt],(t,[e,r])=>{const n=t.properties()[e.value],i=r.value;return typeof n==typeof i&&n<=i}],\"filter-id-<=\":[ht,[dt],(t,[e])=>{const r=t.id(),n=e.value;return typeof r==typeof n&&r<=n}],\"filter->=\":[ht,[ut,dt],(t,[e,r])=>{const n=t.properties()[e.value],i=r.value;return typeof n==typeof i&&n>=i}],\"filter-id->=\":[ht,[dt],(t,[e])=>{const r=t.id(),n=e.value;return typeof r==typeof n&&r>=n}],\"filter-has\":[ht,[dt],(t,[e])=>e.value in t.properties()],\"filter-has-id\":[ht,[],t=>null!==t.id()&&void 0!==t.id()],\"filter-type-in\":[ht,[_t(ut)],(t,[e])=>e.value.indexOf(t.geometryType())>=0],\"filter-id-in\":[ht,[_t(dt)],(t,[e])=>e.value.indexOf(t.id())>=0],\"filter-in-small\":[ht,[ut,_t(dt)],(t,[e,r])=>r.value.indexOf(t.properties()[e.value])>=0],\"filter-in-large\":[ht,[ut,_t(dt)],(t,[e,r])=>function(t,e,r,n){for(;r<=n;){const i=r+n>>1;if(e[i]===t)return!0;e[i]>t?n=i-1:r=i+1}return!1}(t.properties()[e.value],r.value,0,r.value.length-1)],all:{type:ht,overloads:[[[ht,ht],(t,[e,r])=>e.evaluate(t)&&r.evaluate(t)],[nn(ht),(t,e)=>{for(const r of e)if(!r.evaluate(t))return!1;return!0}]]},any:{type:ht,overloads:[[[ht,ht],(t,[e,r])=>e.evaluate(t)||r.evaluate(t)],[nn(ht),(t,e)=>{for(const r of e)if(r.evaluate(t))return!0;return!1}]]},\"!\":[ht,[ht],(t,[e])=>!e.evaluate(t)],\"is-supported-script\":[ht,[ut],(t,[e])=>{const r=t.globals&&t.globals.isSupportedScript;return!r||r(e.evaluate(t))}],upcase:[ut,[ut],(t,[e])=>e.evaluate(t).toUpperCase()],downcase:[ut,[ut],(t,[e])=>e.evaluate(t).toLowerCase()],concat:[ut,nn(dt),(t,e)=>e.map((e=>oe(e.evaluate(t)))).join(\"\")],\"resolved-locale\":[ut,[mt],(t,[e])=>e.evaluate(t).resolvedLocale()]});class Tn{constructor(t,e){var r;this.expression=t,this._warningHistory={},this._evaluator=new de,this._defaultValue=e?\"color\"===(r=e).type&&mn(r.default)?new Xt(0,0,0,0):\"color\"===r.type?Xt.parse(r.default)||null:\"padding\"===r.type?Qt.parse(r.default)||null:\"variableAnchorOffsetCollection\"===r.type?ee.parse(r.default)||null:void 0===r.default?null:r.default:null,this._enumValues=e&&\"enum\"===e.type?e.values:null}evaluateWithoutErrorHandling(t,e,r,n,i,a){return this._evaluator.globals=t,this._evaluator.feature=e,this._evaluator.featureState=r,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a,this.expression.evaluate(this._evaluator)}evaluate(t,e,r,n,i,a){this._evaluator.globals=t,this._evaluator.feature=e||null,this._evaluator.featureState=r||null,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a||null;try{const t=this.expression.evaluate(this._evaluator);if(null==t||\"number\"==typeof t&&t!=t)return this._defaultValue;if(this._enumValues&&!(t in this._enumValues))throw new le(`Expected value to be one of ${Object.keys(this._enumValues).map((t=>JSON.stringify(t))).join(\", \")}, but found ${JSON.stringify(t)} instead.`);return t}catch(t){return this._warningHistory[t.message]||(this._warningHistory[t.message]=!0,\"undefined\"!=typeof console&&console.warn(t.message)),this._defaultValue}}}function kn(t){return Array.isArray(t)&&t.length>0&&\"string\"==typeof t[0]&&t[0]in Kr}function An(t,e){const r=new me(Kr,an,[],e?function(t){const e={color:ft,string:ut,number:ct,enum:ut,boolean:ht,formatted:gt,padding:yt,resolvedImage:vt,variableAnchorOffsetCollection:xt};return\"array\"===t.type?_t(e[t.value]||dt,t.length):e[t.type]}(e):void 0),n=r.parse(t,void 0,void 0,void 0,e&&\"string\"===e.type?{typeAnnotation:\"coerce\"}:void 0);return n?cn(new Tn(n,e)):un(r.errors)}class Mn{constructor(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!sn(e.expression)}evaluateWithoutErrorHandling(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)}evaluate(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)}}class Sn{constructor(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!sn(e.expression),this.interpolationType=n}evaluateWithoutErrorHandling(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)}evaluate(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)}interpolationFactor(t,e,r){return this.interpolationType?ze.interpolationFactor(this.interpolationType,t,e,r):0}}function En(t,e){const r=An(t,e);if(\"error\"===r.result)return r;const n=r.value.expression,i=on(n);if(!i&&!hn(e))return un([new ot(\"\",\"data expressions not supported\")]);const a=ln(n,[\"zoom\"]);if(!a&&!fn(e))return un([new ot(\"\",\"zoom expressions not supported\")]);const o=Ln(n);if(!o&&!a)return un([new ot(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')]);if(o instanceof ot)return un([o]);if(o instanceof ze&&!pn(e))return un([new ot(\"\",'\"interpolate\" expressions cannot be used with this property')]);if(!o)return cn(new Mn(i?\"constant\":\"source\",r.value));const s=o instanceof ze?o.interpolation:void 0;return cn(new Sn(i?\"camera\":\"composite\",r.value,o.labels,s))}class Cn{constructor(t,e){this._parameters=t,this._specification=e,at(this,yn(this._parameters,this._specification))}static deserialize(t){return new Cn(t._parameters,t._specification)}static serialize(t){return{_parameters:t._parameters,_specification:t._specification}}}function Ln(t){let e=null;if(t instanceof ge)e=Ln(t.result);else if(t instanceof De){for(const r of t.args)if(e=Ln(r),e)break}else(t instanceof Ae||t instanceof ze)&&t.input instanceof Qr&&\"zoom\"===t.input.name&&(e=t);return e instanceof ot||t.eachChild((t=>{const r=Ln(t);r instanceof ot?e=r:!e&&r?e=new ot(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.'):e&&r&&e!==r&&(e=new ot(\"\",'Only one zoom-based \"step\" or \"interpolate\" subexpression may be used in an expression.'))})),e}function In(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]&&\"$type\"!==t[1];case\"in\":return t.length>=3&&(\"string\"!=typeof t[1]||Array.isArray(t[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\"any\":case\"all\":for(const e of t.slice(1))if(!In(e)&&\"boolean\"!=typeof e)return!1;return!0;default:return!0}}const Pn={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function zn(t){if(null==t)return{filter:()=>!0,needGeometry:!1};In(t)||(t=Rn(t));const e=An(t,Pn);if(\"error\"===e.result)throw new Error(e.value.map((t=>`${t.key}: ${t.message}`)).join(\", \"));return{filter:(t,r,n)=>e.value.evaluate(t,r,{},n),needGeometry:Dn(t)}}function On(t,e){return te?1:0}function Dn(t){if(!Array.isArray(t))return!1;if(\"within\"===t[0]||\"distance\"===t[0])return!0;for(let e=1;e\"===e||\"<=\"===e||\">=\"===e?Fn(t[1],t[2],e):\"any\"===e?(r=t.slice(1),[\"any\"].concat(r.map(Rn))):\"all\"===e?[\"all\"].concat(t.slice(1).map(Rn)):\"none\"===e?[\"all\"].concat(t.slice(1).map(Rn).map(jn)):\"in\"===e?Bn(t[1],t.slice(2)):\"!in\"===e?jn(Bn(t[1],t.slice(2))):\"has\"===e?Nn(t[1]):\"!has\"!==e||jn(Nn(t[1]));var r}function Fn(t,e,r){switch(t){case\"$type\":return[`filter-type-${r}`,e];case\"$id\":return[`filter-id-${r}`,e];default:return[`filter-${r}`,t,e]}}function Bn(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((t=>typeof t!=typeof e[0]))?[\"filter-in-large\",t,[\"literal\",e.sort(On)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function Nn(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function jn(t){return[\"!\",t]}function Un(t){const e=typeof t;if(\"number\"===e||\"boolean\"===e||\"string\"===e||null==t)return JSON.stringify(t);if(Array.isArray(t)){let e=\"[\";for(const r of t)e+=`${Un(r)},`;return`${e}]`}const r=Object.keys(t).sort();let n=\"{\";for(let e=0;en.maximum?[new it(e,r,`${r} is greater than the maximum value ${n.maximum}`)]:[]}function Xn(t){const e=t.valueSpec,r=Hn(t.value.type);let n,i,a,o={};const s=\"categorical\"!==r&&void 0===t.value.property,l=!s,c=\"array\"===dn(t.value.stops)&&\"array\"===dn(t.value.stops[0])&&\"object\"===dn(t.value.stops[0][0]),u=Zn({key:t.key,value:t.value,valueSpec:t.styleSpec.function,validateSpec:t.validateSpec,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===r)return[new it(t.key,t.value,'identity function may not have a \"stops\" property')];let e=[];const n=t.value;return e=e.concat(Wn({key:t.key,value:n,valueSpec:t.valueSpec,validateSpec:t.validateSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:h})),\"array\"===dn(n)&&0===n.length&&e.push(new it(t.key,n,\"array must have at least one stop\")),e},default:function(t){return t.validateSpec({key:t.key,value:t.value,valueSpec:e,validateSpec:t.validateSpec,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===r&&s&&u.push(new it(t.key,t.value,'missing required property \"property\"')),\"identity\"===r||t.value.stops||u.push(new it(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===r&&t.valueSpec.expression&&!pn(t.valueSpec)&&u.push(new it(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!hn(t.valueSpec)?u.push(new it(t.key,t.value,\"property functions not supported\")):s&&!fn(t.valueSpec)&&u.push(new it(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==r&&!c||void 0!==t.value.property||u.push(new it(t.key,t.value,'\"property\" property is required')),u;function h(t){let r=[];const n=t.value,s=t.key;if(\"array\"!==dn(n))return[new it(s,n,`array expected, ${dn(n)} found`)];if(2!==n.length)return[new it(s,n,`array length 2 expected, length ${n.length} found`)];if(c){if(\"object\"!==dn(n[0]))return[new it(s,n,`object expected, ${dn(n[0])} found`)];if(void 0===n[0].zoom)return[new it(s,n,\"object stop key must have zoom\")];if(void 0===n[0].value)return[new it(s,n,\"object stop key must have value\")];if(a&&a>Hn(n[0].zoom))return[new it(s,n[0].zoom,\"stop zoom values must appear in ascending order\")];Hn(n[0].zoom)!==a&&(a=Hn(n[0].zoom),i=void 0,o={}),r=r.concat(Zn({key:`${s}[0]`,value:n[0],valueSpec:{zoom:{}},validateSpec:t.validateSpec,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:Yn,value:f}}))}else r=r.concat(f({key:`${s}[0]`,value:n[0],valueSpec:{},validateSpec:t.validateSpec,style:t.style,styleSpec:t.styleSpec},n));return kn(Gn(n[1]))?r.concat([new it(`${s}[1]`,n[1],\"expressions are not allowed in function stops.\")]):r.concat(t.validateSpec({key:`${s}[1]`,value:n[1],valueSpec:e,validateSpec:t.validateSpec,style:t.style,styleSpec:t.styleSpec}))}function f(t,a){const s=dn(t.value),l=Hn(t.value),c=null!==t.value?t.value:a;if(n){if(s!==n)return[new it(t.key,c,`${s} stop domain type must match previous stop domain type ${n}`)]}else n=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new it(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==r){let n=`number expected, ${s} found`;return hn(e)&&void 0===r&&(n+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new it(t.key,c,n)]}return\"categorical\"!==r||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==r&&\"number\"===s&&void 0!==i&&lnew it(`${t.key}${e.key}`,t.value,e.message)));const r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new it(t.key,t.value,`Invalid data expression for \"${t.propertyKey}\". Output values must be contained as literals within the expression.`)];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!sn(r))return[new it(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!sn(r))return[new it(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!ln(r,[\"zoom\",\"feature-state\"]))return[new it(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!on(r))return[new it(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function Jn(t){const e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Hn(r))&&i.push(new it(e,r,`expected one of [${n.values.join(\", \")}], 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Presentation Forms-A\"](t)||zi[\"Arabic Presentation Forms-B\"](t)}function Ui(t,e){return!(!e&&ji(t)||t>=2304&&t<=3583||t>=3840&&t<=4255||zi.Khmer(t))}function Vi(t){for(const e of t)if(ji(e.charCodeAt(0)))return!0;return!1}const qi=new class{constructor(){this.applyArabicShaping=null,this.processBidirectionalText=null,this.processStyledBidirectionalText=null,this.pluginStatus=\"unavailable\",this.pluginURL=null}setState(t){this.pluginStatus=t.pluginStatus,this.pluginURL=t.pluginURL}getState(){return{pluginStatus:this.pluginStatus,pluginURL:this.pluginURL}}setMethods(t){this.applyArabicShaping=t.applyArabicShaping,this.processBidirectionalText=t.processBidirectionalText,this.processStyledBidirectionalText=t.processStyledBidirectionalText}isParsed(){return null!=this.applyArabicShaping&&null!=this.processBidirectionalText&&null!=this.processStyledBidirectionalText}getPluginURL(){return this.pluginURL}getRTLTextPluginStatus(){return this.pluginStatus}};class Hi{constructor(t,e){this.zoom=t,e?(this.now=e.now,this.fadeDuration=e.fadeDuration,this.zoomHistory=e.zoomHistory,this.transition=e.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new Pi,this.transition={})}isSupportedScript(t){return function(t,e){for(const r of t)if(!Ui(r.charCodeAt(0),e))return!1;return!0}(t,\"loaded\"===qi.getRTLTextPluginStatus())}crossFadingFactor(){return 0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)}getCrossfadeParameters(){const t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}}}class Gi{constructor(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(mn(t))return new Cn(t,e);if(kn(t)){const r=En(t,e);if(\"error\"===r.result)throw new Error(r.value.map((t=>`${t.key}: ${t.message}`)).join(\", \"));return r.value}{let r=t;return\"color\"===e.type&&\"string\"==typeof t?r=Xt.parse(t):\"padding\"!==e.type||\"number\"!=typeof t&&!Array.isArray(t)?\"variableAnchorOffsetCollection\"===e.type&&Array.isArray(t)&&(r=ee.parse(t)):r=Qt.parse(t),{kind:\"constant\",evaluate:()=>r}}}(void 0===e?t.specification.default:e,t.specification)}isDataDriven(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind}possiblyEvaluate(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)}}class Zi{constructor(t){this.property=t,this.value=new Gi(t,void 0)}transitioned(t,e){return new Yi(this.property,this.value,e,y({},t.transition,this.transition),t.now)}untransitioned(){return new Yi(this.property,this.value,null,{},0)}}class Wi{constructor(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)}getValue(t){return b(this._values[t].value.value)}setValue(t,e){Object.prototype.hasOwnProperty.call(this._values,t)||(this._values[t]=new Zi(this._values[t].property)),this._values[t].value=new Gi(this._values[t].property,null===e?void 0:b(e))}getTransition(t){return b(this._values[t].transition)}setTransition(t,e){Object.prototype.hasOwnProperty.call(this._values,t)||(this._values[t]=new Zi(this._values[t].property)),this._values[t].transition=b(e)||void 0}serialize(){const t={};for(const e of Object.keys(this._values)){const r=this.getValue(e);void 0!==r&&(t[e]=r);const n=this.getTransition(e);void 0!==n&&(t[`${e}-transition`]=n)}return t}transitioned(t,e){const r=new Xi(this._properties);for(const n of Object.keys(this._values))r._values[n]=this._values[n].transitioned(t,e._values[n]);return r}untransitioned(){const t=new Xi(this._properties);for(const e of Object.keys(this._values))t._values[e]=this._values[e].untransitioned();return t}}class Yi{constructor(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)}possiblyEvaluate(t,e,r){const 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=1)return 1;const e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}}return i}}class Xi{constructor(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)}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}hasTransition(){for(const t of 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.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>>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>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>1];let a=r-1,o=n+1;for(;;){do{a++}while(t[a]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`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`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`#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!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 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ho,this.stateDependentLayerIds=this.layers.filter((t=>t.isStateDependent())).map((t=>t.id))}populate(t,e,r){this.hasPattern=hl(\"fill\",this.layers,e);const n=this.layers[0].layout.get(\"fill-sort-key\"),i=!n.isConstant(),a=[];for(const{feature:o,id:s,index:l,sourceLayerIndex:c}of t){const t=this.layers[0]._featureFilter.needGeometry,u=Go(o,t);if(!this.layers[0]._featureFilter.filter(new Hi(this.zoom),u,r))continue;const h=i?n.evaluate(u,{},r,e.availableImages):void 0,f={id:s,properties:o.properties,type:o.type,sourceLayerIndex:c,index:l,geometry:t?u.geometry:Ho(o),patterns:{},sortKey:h};a.push(f)}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(\"fill\",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||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Fs),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.indexBuffer2=t.createIndexBuffer(this.indexArray2)),this.programConfigurations.upload(t),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.indexBuffer2.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.segments2.destroy())}addFeature(t,e,r,n,i){for(const t of br(e,500)){let e=0;for(const r of t)e+=r.length;const r=this.segments.prepareSegment(e,this.layoutVertexArray,this.indexArray),n=r.vertexLength,i=[],a=[];for(const e of t){if(0===e.length)continue;e!==t[0]&&a.push(i.length/2);const r=this.segments2.prepareSegment(e.length,this.layoutVertexArray,this.indexArray2),n=r.vertexLength;this.layoutVertexArray.emplaceBack(e[0].x,e[0].y),this.indexArray2.emplaceBack(n+e.length-1,n),i.push(e[0].x),i.push(e[0].y);for(let t=1;t>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>3}if(n--,1===r||2===r)(i+=t.readSVarint())s&&(s=i),(a+=t.readSVarint())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>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=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;rUo)||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;it.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=2&&t[s-1].equals(t[s-2]);)s--;let l=0;for(;l0;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&&(xi&&(k=\"bevel\"),\"bevel\"===k&&(x>2&&(k=\"flipbevel\"),x100)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;e2*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 c=s.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,c),s.primitiveLength++),a?this.e2=c:this.e1=c}updateScaledDistance(){this.scaledDistance=this.lineClips?this.lineClips.start+(this.lineClips.end-this.lineClips.start)*this.distance/this.totalDistance:this.distance}updateDistance(t,e){this.distance+=t.dist(e),this.updateScaledDistance()}}let ac;Mi(\"LineBucket\",ic,{omit:[\"layers\",\"patternFeatures\"]});let oc;var sc={get paint(){return oc=oc||new ia({\"line-opacity\":new ta(Z.paint_line[\"line-opacity\"]),\"line-color\":new ta(Z.paint_line[\"line-color\"]),\"line-translate\":new Qi(Z.paint_line[\"line-translate\"]),\"line-translate-anchor\":new Qi(Z.paint_line[\"line-translate-anchor\"]),\"line-width\":new ta(Z.paint_line[\"line-width\"]),\"line-gap-width\":new ta(Z.paint_line[\"line-gap-width\"]),\"line-offset\":new ta(Z.paint_line[\"line-offset\"]),\"line-blur\":new ta(Z.paint_line[\"line-blur\"]),\"line-dasharray\":new 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 t=this.gradientExpression();!function(t){return void 0!==t._styleExpression}(t)?this.stepInterpolant=!1:this.stepInterpolant=t._styleExpression.expression instanceof Ae,this.gradientVersion=(this.gradientVersion+1)%Number.MAX_SAFE_INTEGER}}gradientExpression(){return this._transitionablePaint._values[\"line-gradient\"].value.expression}recalculate(t,e){super.recalculate(t,e),this.paint._values[\"line-floorwidth\"]=cc.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,t)}createBucket(t){return new ic(t)}queryRadius(t){const e=t,r=hc(as(\"line-width\",this,e),as(\"line-gap-width\",this,e)),n=as(\"line-offset\",this,e);return r/2+Math.abs(n)+os(this.paint.get(\"line-translate\"))}queryIntersectsFeature(t,e,r,n,i,o,s){const 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=3)for(let e=0;e0?e+2*t:t}const fc=ua([{name:\"a_pos_offset\",components:4,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint16\"},{name:\"a_pixeloffset\",components:4,type:\"Int16\"}],4),pc=ua([{name:\"a_projected_pos\",components:3,type:\"Float32\"}],4);ua([{name:\"a_fade_opacity\",components:1,type:\"Uint32\"}],4);const dc=ua([{name:\"a_placed\",components:2,type:\"Uint8\"},{name:\"a_shift\",components:2,type:\"Float32\"},{name:\"a_box_real\",components:2,type:\"Int16\"}]);ua([{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Int16\",name:\"x1\"},{type:\"Int16\",name:\"y1\"},{type:\"Int16\",name:\"x2\"},{type:\"Int16\",name:\"y2\"},{type:\"Uint32\",name:\"featureIndex\"},{type:\"Uint16\",name:\"sourceLayerIndex\"},{type:\"Uint16\",name:\"bucketIndex\"}]);const 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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t)if(0!==e.positionedGlyphs.length)return!1;return!0}(_)&&b}const ru={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},nu={10:!0,32:!0,38:!0,41:!0,43:!0,45:!0,47:!0,173:!0,183:!0,8203:!0,8208:!0,8211:!0,8231:!0},iu={40:!0};function au(t,e,r,n,i,a){if(e.imageName){const t=n[e.imageName];return t?t.displaySize[0]*e.scale*xc/a+i:0}{const n=r[e.fontStack],a=n&&n[t];return a?a.metrics.advance*e.scale+i:0}}function ou(t,e,r,n){const i=Math.pow(t-e,2);return n?t=0;let c=0;for(let r=0;rh){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(;it.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;a0)&&(\"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;ct.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=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;t0}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;en[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: , lat: }, an object {lon: , lat: }, or an array of [, ]\")}}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<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= 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 = ${this.overscaledZ}`);const r=this.canonical.z-t;return t>this.canonical.z?eh(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):eh(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)}isChildOf(t){if(t.wrap!==this.wrap)return!1;const e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ>e&&t.canonical.y===this.canonical.y>>e}children(t){if(this.overscaledZ>=t)return[new th(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];const e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new th(e,this.wrap,e,r,n),new th(e,this.wrap,e,r+1,n),new th(e,this.wrap,e,r,n+1),new th(e,this.wrap,e,r+1,n+1)]}isLessThan(t){return this.wrapt.wrap)&&(this.overscaledZt.overscaledZ)&&(this.canonical.xt.canonical.x)&&this.canonical.ythis.max&&(this.max=r),r=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)}unpack(t,e,r){return t*this.redFactor+e*this.greenFactor+r*this.blueFactor-this.baseShift}getPixels(){return new Ls({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))}backfillBorder(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");let n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}const s=-e*this.dim,l=-r*this.dim;for(let e=a;e=this._numberToString.length)throw new Error(`Out of bounds. Index requested n=${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=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(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=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{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=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(;sn;)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;rc){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=0&&y=0&&v=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;r0&&(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)=>te?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=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;to)&&(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;ed.d||!d.d)&&(d=n,r&&console.log(\"found best %d after %d probes\",Math.round(1e4*n.d)/1e4,m)),n.max-d.d<=e||(f=n.h/2,p.push(new Eh(n.p.x-f,n.p.y-f,f,t)),p.push(new Eh(n.p.x+f,n.p.y-f,f,t)),p.push(new Eh(n.p.x-f,n.p.y+f,f,t)),p.push(new Eh(n.p.x+f,n.p.y+f,f,t)),m+=4)}return r&&(console.log(`num probes: ${m}`),console.log(`best distance: ${d.d}`)),d.p}function Sh(t,e){return e.max-t.max}function Eh(t,e,r,n){this.p=new a(t,e),this.h=r,this.d=function(t,e){let r=!1,n=1/0;for(let i=0;it.y!=s.y>t.y&&t.x<(s.x-i.x)*(t.y-i.y)/(s.y-i.y)+i.x&&(r=!r),n=Math.min(n,es(t,i,s))}}return(r?1:-1)*Math.sqrt(n)}(this.p,n),this.max=this.d+this.h*Math.SQRT2}var Ch;t.ar=void 0,(Ch=t.ar||(t.ar={}))[Ch.center=1]=\"center\",Ch[Ch.left=2]=\"left\",Ch[Ch.right=3]=\"right\",Ch[Ch.top=4]=\"top\",Ch[Ch.bottom=5]=\"bottom\",Ch[Ch[\"top-left\"]=6]=\"top-left\",Ch[Ch[\"top-right\"]=7]=\"top-right\",Ch[Ch[\"bottom-left\"]=8]=\"bottom-left\",Ch[Ch[\"bottom-right\"]=9]=\"bottom-right\";const Lh=7,Ih=Number.POSITIVE_INFINITY;function Ph(t,e){return e[1]!==Ih?function(t,e,r){let n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case\"top-right\":case\"top-left\":case\"top\":i=r-Lh;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=-r+Lh}switch(t){case\"top-right\":case\"bottom-right\":case\"right\":n=-e;break;case\"top-left\":case\"bottom-left\":case\"left\":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){let r=0,n=0;e<0&&(e=0);const 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h.call(this,t,e,r)}},p=class{constructor(e){this.layers={_geojsonTileLayer:this},this.name=\"_geojsonTileLayer\",this.extent=t.X,this.length=e.length,this._features=e}feature(t){return new f(this._features[t])}};var d={exports:{}},m=t.by,g=t.bs.VectorTileFeature,y=v;function v(t,e){this.options=e||{},this.features=t,this.length=t.length}function x(t,e){this.id=\"number\"==typeof t.id?t.id:void 0,this.type=t.type,this.rawGeometry=1===t.type?[t.geometry]:t.geometry,this.properties=t.tags,this.extent=e||4096}v.prototype.feature=function(t){return new x(this.features[t],this.options.extent)},x.prototype.loadGeometry=function(){var t=this.rawGeometry;this.geometry=[];for(var e=0;e>31}function E(t,e){for(var r=t.loadGeometry(),n=t.type,i=0,a=0,o=r.length,s=0;st},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=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):i1;let l,c,u;if(s)l=j(e,t,this.clusterProps),c=e[t],u=e[t+1];else{const r=this.points[e[t+D]];l=r.properties;const[n,i]=r.geometry.coordinates;c=U(n),u=V(i)}const h={type:1,geometry:[[Math.round(this.options.extent*(c*i-r)),Math.round(this.options.extent*(u*i-n))]],tags:l};let f;f=s||this.options.generateId?e[t+D]:this.points[e[t+D]].id,void 0!==f&&(h.id=f),a.features.push(h)}}_limitZoom(t){return Math.max(this.options.minZoom,Math.min(Math.floor(+t),this.options.maxZoom+1))}_cluster(t,e){const{radius:r,extent:n,reduce:i,minPoints:a}=this.options,o=r/(n*Math.pow(2,e)),s=t.data,l=[],c=this.stride;for(let r=0;re&&(p+=s[r+R])}if(p>f&&p>=a){let t,a=n*f,o=u*f,d=-1;const m=((r/c|0)<<5)+(e+1)+this.points.length;for(const n of h){const l=n*c;if(s[l+2]<=e)continue;s[l+2]=e;const u=s[l+R];a+=s[l]*u,o+=s[l+1]*u,s[l+4]=m,i&&(t||(t=this._map(s,r,!0),d=this.clusterProps.length,this.clusterProps.push(t)),i(t,this._map(s,l)))}s[r+4]=m,l.push(a/p,o/p,1/0,m,-1,p),i&&l.push(d)}else{for(let t=0;t1)for(const t of h){const r=t*c;if(!(s[r+2]<=e)){s[r+2]=e;for(let t=0;t>5}_getOriginZoom(t){return(t-this.points.length)%32}_map(t,e,r){if(t[e+R]>1){const n=this.clusterProps[t[e+F]];return r?Object.assign({},n):n}const n=this.points[t[e+D]].properties,i=this.options.map(n);return r&&i===n?Object.assign({},i):i}}function N(t,e,r){return{type:\"Feature\",id:t[e+D],properties:j(t,e,r),geometry:{type:\"Point\",coordinates:[(n=t[e],360*(n-.5)),q(t[e+1])]}};var n}function j(t,e,r){const n=t[e+R],i=n>=1e4?`${Math.round(n/1e3)}k`:n>=1e3?Math.round(n/100)/10+\"k\":n,a=t[e+F],o=-1===a?{}:Object.assign({},r[a]);return 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at(t,a,r+(i-r)*o,1),o}function st(t,e,r,n,i,a){const o=(a-r)/(i-r);return at(t,e+(n-e)*o,a,1),o}function lt(t,e){const r=[];for(let n=0;n0&&e.size<(i?o:n))return void(r.numPoints+=e.length/3);const s=[];for(let t=0;to)&&(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;e0===e)for(let e=0,r=t.length;e24)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;n1&&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<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<{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 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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 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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{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{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;e0;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]{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-1);l++,a[l]=s,o[l]=c,o[l+1]=A}for(let s=0,l=0;s65535)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;t0?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;t1&&(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;e1&&(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.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{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=i&&t.y{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+10&&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;tr.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;ee.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;rt)e=!1;else if(r)if(this.expirationTime{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;n1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}}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()||ethis._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=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;t0?(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;tthis.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;t0}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;iMath.abs(n.x-r.x)*i?{useVertical:!0}:(t===e.ai.vertical?r.yn.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;a0?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=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=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=1;t--)l.push(o.path[t]);for(let t=1;tt.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=n.x&&r.x<=i.x&&t.y>=n.y&&r.y<=i.y?[l]:r.xi.x||r.yi.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;ewt(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=this.screenRightBoundary||nthis.screenBottomBoundary}isInsideGrid(t,e,r,n){return r>=0&&t=0&&ethis.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;em(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=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;n0||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 (= ${t.icon.layoutVertexArray.length}) / 4`);if(t.bucketInstanceId in this.collisionCircleArrays){const e=this.collisionCircleArrays[t.bucketInstanceId];t.placementInvProjMatrix=e.invProjMatrix,t.placementViewportMatrix=e.viewportMatrix,t.collisionCircleArray=e.circles,delete this.collisionCircleArrays[t.bucketInstanceId]}}symbolFadeChange(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment}zoomAdjustment(t){return Math.max(0,(this.transform.zoom-t)/1.5)}hasTransitions(t){return this.stale||t-this.lastPlacementChangeTimet}setStale(){this.stale=!0}}function Yt(t,e,r,n,i,a){n&&0!==n.length||(n=[0,0,0,0]);const o=n[0]-Ft,s=n[1]-Ft,l=n[2]-Ft,c=n[3]-Ft;t.emplaceBack(e?1:0,r?1:0,i||0,a||0,o,s),t.emplaceBack(e?1:0,r?1:0,i||0,a||0,l,s),t.emplaceBack(e?1:0,r?1:0,i||0,a||0,l,c),t.emplaceBack(e?1:0,r?1:0,i||0,a||0,o,c)}const Xt=Math.pow(2,25),$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._currentTileIndext.sortKey-e.sortKey)));this._currentPartIndex!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({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.zt))}}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;tt.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[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]{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;tt.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({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({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;r0){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;er.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=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;tt.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;e0){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({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.currentLayerr.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().maxzoomo(t))),r||a.forEach((t=>o(t))),r}(this.style,this.transform.zoom);t&&function(t,e,r){for(let n=0;n0),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;at.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<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=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;ithis.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&&it.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<w&&i.zoom>=f){const t=y-i.zoom,r=c[0]-.5-(a<>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-os&&(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-nc&&(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.durationr.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)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;nthis.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){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()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{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()){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.altitudethis._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=T0,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)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:'
MapLibre'};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=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<>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<>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&&(!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=0&&nt.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<>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<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!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{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.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)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.longitudee.getEast()||r.latitudee.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} ${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.ythis._map.transform.height-e?[\"bottom\"]:[],n.xthis._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=\"×\",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()=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()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;tthis._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 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r.type=\"button\",r.addEventListener(\"click\",e),r}},t.Popup=oa,t.RasterDEMTileSource=Q,t.RasterTileSource=K,t.ScaleControl=class{constructor(t){this._onMove=()=>{ea(this._map,this._container,this.options)},this.setUnit=t=>{this.options.unit=t,ea(this._map,this._container,this.options)},this.options=Object.assign(Object.assign({},ta),t)}getDefaultPosition(){return\"bottom-left\"}onAdd(t){return this._map=t,this._container=o.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container}onRemove(){o.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 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"marker": { "color": "#1ac938", @@ -4124,32 +4499,35 @@ "size": 0 }, "mode": "markers", + "showlegend": false, "type": "scattermapbox" }, { "hoverinfo": "skip", "lat": [ - 53.6456, - 53.6459 + 53.6465, + 53.6477 ], "line": { - "color": "#1ac938" + "color": "#1ac938", + "width": 2 }, "lon": [ - 11.3692, - 11.3687 + 11.3669, + 11.3641 ], "mode": "lines", + "showlegend": false, "type": "scattermapbox" }, { "hoverinfo": "text", - "hovertext": "MV3.101 Line 41", + "hovertext": "MV3.101 Line 51", "lat": [ - 53.64575 + 53.6471 ], "lon": [ - 11.36895 + 11.3655 ], "marker": { "color": "#1ac938", @@ -4157,32 +4535,35 @@ "size": 0 }, "mode": "markers", + "showlegend": false, "type": "scattermapbox" }, { "hoverinfo": "skip", "lat": [ - 53.6501, - 53.6502 + 53.6456, + 53.6485 ], "line": { - "color": "#1ac938" + "color": "#1ac938", + "width": 2 }, "lon": [ - 11.3779, - 11.3805 + 11.3692, + 11.3698 ], "mode": "lines", + "showlegend": false, "type": "scattermapbox" }, { "hoverinfo": "text", - 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+4931,35 @@ "size": 0 }, "mode": "markers", + "showlegend": false, "type": "scattermapbox" }, { "hoverinfo": "skip", "lat": [ - 53.6411, - 53.6397 + 53.6505, + 53.6525 ], "line": { - "color": "#1ac938" + "color": "#1ac938", + "width": 2 }, "lon": [ - 11.3715, - 11.3715 + 11.3708, + 11.3724 ], "mode": "lines", + "showlegend": false, "type": "scattermapbox" }, { "hoverinfo": "text", - "hovertext": "MV3.101 Line 9", + "hovertext": "MV3.101 Line 18", "lat": [ - 53.6404 + 53.6515 ], "lon": [ - 11.3715 + 11.3716 ], "marker": { "color": "#1ac938", @@ -4553,65 +4967,35 @@ "size": 0 }, "mode": "markers", + "showlegend": false, "type": "scattermapbox" }, { "hoverinfo": "skip", "lat": [ - 53.6516, - 53.6524 + 53.6514, + 53.6531 ], "line": { - "color": "#1ac938" + "color": "#a3a3a3", + "width": 2 }, "lon": [ - 11.3561, - 11.3561 + 11.3638, + 11.3584 ], "mode": "lines", + "showlegend": false, "type": "scattermapbox" }, { "hoverinfo": "text", - "hovertext": "MV3.101 Line 57", + "hovertext": "MV3.101 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fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 56
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load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 33
46248ba3-8fa1-4225-b087-10739b0811cd
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 15
2837f3ce-c6fb-45ba-9cf0-27ad14987c81
load=Count: 2, Rated Power: 774.3 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 31
b7e2b6d4-7566-417f-b5a3-f2ead1ceed98
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 25
97b96777-900f-49d2-90b5-044c38bc371e
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 60
c2d61c41-06a1-4490-9e68-8fe7dfec579a
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 55
38145153-0dd5-429c-b0c8-e876956fa70f
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 99
f6761178-0491-441c-b7e6-4126b29fbada
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 124
79143963-b1bb-4eca-8ba8-d3712f5696c5
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 122
cc0495c9-0bfe-41ba-b98b-978b8f4b1b69
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 110_1
335dc8f6-35c6-4c94-bf39-a77cbee563e8
", - "MV3.101 Bus 48
9b372fbc-8da2-48a3-b76e-ad52957f77d3
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 106
8f2d1b47-8115-4139-93d2-3ddb6a9119ff
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 128
ebde173b-fb40-484b-aeb9-d565b97c5102
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 75_1
a4b428dc-15dd-4b48-a115-322988f0cf73
", - "MV3.101 Bus 71
2289d9f8-70e3-438f-a25a-8812b53f0aff
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 46
99d5e9ac-6fdf-4957-bf69-64dc088434f4
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 BS busbar1A
6bc544cf-71e5-4d0a-941a-4e806c22fd8d
", - "MV3.101 Bus 53
296e67f3-2711-43ff-9a46-eca3f60b0001
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 40_1
557b9f51-d83c-476c-a84c-d240530c203d
", - "MV3.101 Bus 13
5f35664a-a4ef-4a48-849c-c4c058f6cffa
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 39
49840d95-2aa5-490c-90ad-556dfee4cb89
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 66
5b421400-8cdf-4847-bdbf-452ece1ed348
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 88
51f05c04-30ac-4430-b970-0081f1b6d8b1
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 96
ad120450-c8c2-4859-a7c4-f487fbe10824
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 69
8515f8eb-33d1-46c5-8467-ab12155a5474
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 58
53765bfa-5e7d-40e6-8b1f-88e6ac6e2bd9
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 142
26245e34-6c7f-4c21-a52f-733486b96eb1
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 127
5e3c4932-5022-40b3-a533-ff831bcf18b9
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 84
aba677f2-f1c5-409e-8587-05acecbe09a8
load=Count: 2, Rated Power: 1090.7 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 114_1
8252e667-afbf-4fff-b0b8-595f40b82273
", - "MV3.101 Bus 138
66f96b86-254e-4205-8cb8-c0634a8fa91a
load=Count: 1, Rated Power: 595.0 kw
fixed_feed_in=Count: 1, Rated Power: 252.3 kw", - "MV3.101 Bus 129
f768ffeb-1021-47d1-b606-9f15103988fc
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 130
0e3f552a-5dc5-4781-969e-13b0600e4deb
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 16
2aab5612-f39a-4cc1-bb96-056b873a6310
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 111
a670449b-2ffd-4bae-9e01-1d7aab6939f6
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 68
bd345c13-e871-4357-af6e-3969889ff035
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 51
52ac8b75-96b7-460e-a927-237d89a13663
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 40
a5ccf309-420a-474f-a6ed-96cb3ffa2e56
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 67
8b19ef59-b368-42eb-a754-12936b5d4d17
load=Count: 2, Rated Power: 647.7 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 136
e4da35ec-8275-424a-bee3-5dc1a8c3dfb8
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 44
8da74e62-9268-426e-8878-1f83c12e40e6
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 114
01dca738-329e-4c8d-900c-fd0f48acc874
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 30
13765175-44d3-4aa2-aa3e-7ed85822fcef
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 132
a9c53c7b-e700-4412-93be-348459028998
load=Count: 1, Rated Power: 595.0 kw
fixed_feed_in=Count: 1, Rated Power: 252.3 kw", - "MV3.101 Bus 63
eec4851e-6d4a-4710-aa77-83c9d4bfac28
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 38
61d6379d-b010-461e-96e5-921149c0c8b6
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 93
3342bab1-65b4-4a4b-a2e8-365a162ead81
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 135
b649cc84-5230-485a-808c-2078624d3681
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 24
5e880ada-8200-4681-8533-c759b0a8ec35
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 110
42a7a176-bb8b-4281-8ba4-b2a2486f6b90
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 97
46f61d50-fb44-491d-a4e6-468102797132
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 57
cd736b45-3d94-402d-b11b-2a0ece139b71
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 47
f5ffa031-1062-4c4e-9495-8e40e2b55e1b
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 20
98c94532-d796-4df2-864f-08b93b2244ab
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 113
380a3c84-fd4b-487c-b2de-00a3b19b27bc
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 118
8f65cec0-ee20-4f8c-8bdc-41f3218c067e
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 126
4920ef18-6e90-45e5-afaf-9e8b60eb6d0e
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 141
3342da5b-7e73-4fc5-af28-3d12619d9426
load=Count: 1, Rated Power: 595.0 kw
fixed_feed_in=Count: 1, Rated Power: 252.3 kw", - "MV3.101 Bus 22
a6f270ec-f5e8-4c3d-817d-664539f01387
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 140
6f477624-e576-4286-8d62-ea909e214a75
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 18_1
5d60f397-ce09-4dc5-87c9-0382e71c694e
", - "MV3.101 Bus 42
0dd3fdac-f05d-4e68-9611-a73f267ed9eb
load=Count: 2, Rated Power: 816.5 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 94
a21047e0-d924-42e0-a5e5-0998d65266a6
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 104_1
ef10dec9-bbbe-4fe9-856c-28f44b5551bf
", - "MV3.101 Bus 139
8559c7b0-c882-466d-8560-00c4db86956a
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 118_1
46b59740-e384-4038-beae-3de74fa9a3c6
", - "MV3.101 Bus 116
e386caca-6ea9-420c-b732-a79f55899458
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 135_1
fad370e8-1530-4310-8181-eacbd141642b
", - "MV3.101 Bus 21
3c849b73-7c59-46ec-aad2-b019beccb4c5
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 59
b0f1f7d4-4ddb-4a56-91ad-e85590714c87
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 12
dc68cf3e-ecb0-4740-a561-de6316c7376d
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 90
d873af06-2e6e-4629-9c42-a30b4aeb4fa7
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 72
a41231cc-4836-4343-b236-396720582e32
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 133
8c073498-b9e2-439d-94a8-63f68f56f192
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 108
0e96dffd-d5ea-4f2c-a133-bacb7a85ca31
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 121
ef1b266d-3f64-4f9e-a5c5-49ab174370a6
load=Count: 1, Rated Power: 595.0 kw
fixed_feed_in=Count: 1, Rated Power: 252.3 kw", - "MV3.101 Bus 62
3ecf3284-5919-49ba-a60a-22996f8bc202
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 26
6e136d5d-19d7-4556-88a3-3dbdd803c6b1
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 61
393881b0-3b78-413f-b065-03d216803c87
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 29
1d219ef0-079c-4df8-8449-e80cb2af6793
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 131
6588b688-92b7-4863-811d-fb86b70e89ad
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 87
81f7b5c4-8ebf-4b8a-8731-f0c67a6e8611
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 70
090d13e8-3cce-4793-816f-4c50f23f3f7f
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 89
16449d90-cc56-48b9-8067-97986b715758
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 36
8bf1ca07-f887-43ec-9e10-f360c0644954
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 74
09153599-9b88-49f8-aecd-d57d8ab9e2b6
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 83
32145578-706b-47e5-86ae-217d9a41867c
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 54
0f9e330f-7db2-48d6-8d07-8741f294f4a9
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 95
2dcbdf1e-c956-46f1-9c60-2e0aa45053d4
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 23
00933d03-18e0-4681-a7d3-b94cac5ada41
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 137
83e2fc45-c6d9-4a8e-8936-4c18b9da0b59
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 79
bebf3c0b-e658-438b-b5df-c0cc68d04479
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 101
265fe176-27b8-4d24-b805-68a258ef9077
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 45
fd124414-dbc6-4f6b-90b5-34918ee7b8f6
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 35
fc4af780-3f60-42fc-bc69-d38fadf92050
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 109
27cd0e75-9471-4140-aaba-88a8ef63c0b7
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 104
9e018a70-4da0-4f41-9a45-455b1173c3d2
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 65
b69ecf26-16ee-4b41-a996-b76563c58c1a
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 112
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load=Count: 1, Rated Power: 594.9 kw
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fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "HV1 Bus 25
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", - "MV3.101 Bus 117
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", - "MV3.101 Bus 48
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", - "MV3.101 Bus 71
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", - "MV3.101 Bus 53
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", - "MV3.101 Bus 13
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", - "MV3.101 Bus 138
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load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 110
42a7a176-bb8b-4281-8ba4-b2a2486f6b90
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 97
46f61d50-fb44-491d-a4e6-468102797132
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 57
cd736b45-3d94-402d-b11b-2a0ece139b71
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 47
f5ffa031-1062-4c4e-9495-8e40e2b55e1b
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 20
98c94532-d796-4df2-864f-08b93b2244ab
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 113
380a3c84-fd4b-487c-b2de-00a3b19b27bc
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 118
8f65cec0-ee20-4f8c-8bdc-41f3218c067e
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 126
4920ef18-6e90-45e5-afaf-9e8b60eb6d0e
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 141
3342da5b-7e73-4fc5-af28-3d12619d9426
load=Count: 1, Rated Power: 595.0 kw
fixed_feed_in=Count: 1, Rated Power: 252.3 kw", - "MV3.101 Bus 22
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load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 140
6f477624-e576-4286-8d62-ea909e214a75
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 18_1
5d60f397-ce09-4dc5-87c9-0382e71c694e
", - "MV3.101 Bus 42
0dd3fdac-f05d-4e68-9611-a73f267ed9eb
load=Count: 2, Rated Power: 816.5 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 94
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load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 104_1
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", - "MV3.101 Bus 139
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load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 118_1
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", - "MV3.101 Bus 116
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load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 135_1
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", - "MV3.101 Bus 21
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load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 59
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load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 12
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load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 90
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load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 72
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load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 133
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load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 108
0e96dffd-d5ea-4f2c-a133-bacb7a85ca31
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 121
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load=Count: 1, Rated Power: 595.0 kw
fixed_feed_in=Count: 1, Rated Power: 252.3 kw", - "MV3.101 Bus 62
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load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 26
6e136d5d-19d7-4556-88a3-3dbdd803c6b1
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 61
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load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 29
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load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 131
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load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 87
81f7b5c4-8ebf-4b8a-8731-f0c67a6e8611
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 70
090d13e8-3cce-4793-816f-4c50f23f3f7f
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 89
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load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 36
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load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 74
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load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 83
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load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 54
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load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 95
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load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 23
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load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 137
83e2fc45-c6d9-4a8e-8936-4c18b9da0b59
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 79
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load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 101
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load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 45
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load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 35
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load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 109
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load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 104
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load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 65
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load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 112
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load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw" - ], - "type": "scattermapbox" - }, - { - "hoverinfo": "text", - "hovertext": [ - "MV3.101 Bus 102
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load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 19
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load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 86
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load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 2, Rated Power: 3084.7 kw", - "MV3.101 Bus 82
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load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 50
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load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 125
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load=Count: 1, Rated Power: 595.0 kw
fixed_feed_in=Count: 1, Rated Power: 252.3 kw", - "MV3.101 Bus 41
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fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 50_1
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", - "MV3.101 Bus 77
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fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 120
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load=Count: 1, Rated Power: 595.0 kw
fixed_feed_in=Count: 1, Rated Power: 252.3 kw", - "MV3.101 Bus 34
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load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 143
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load=Count: 1, Rated Power: 595.0 kw
fixed_feed_in=Count: 1, Rated Power: 252.3 kw", - "MV3.101 Bus 27
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load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 64
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load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 68_1
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", - "MV3.101 Bus 32
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load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 134
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load=Count: 1, Rated Power: 595.0 kw
fixed_feed_in=Count: 1, Rated Power: 252.3 kw", - "MV3.101 Bus 80
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load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 91
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load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 75
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load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 143_1
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", - "MV3.101 Bus 115
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load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 43
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load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 17
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load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "HV1 Bus 25
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", - "MV3.101 Bus 117
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load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 78
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load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 49
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load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 85
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load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 123
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load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 76
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load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 11
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load=Count: 2, Rated Power: 563.3 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 98
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load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 18
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load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 103
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load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 100
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load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 37
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load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 14
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load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 107
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load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 105
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load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 92
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fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 119
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load=Count: 1, Rated Power: 595.0 kw
fixed_feed_in=Count: 1, Rated Power: 252.3 kw", - "MV3.101 Bus 73
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fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 33
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load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 15
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load=Count: 2, Rated Power: 774.3 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 31
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load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 25
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load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 60
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load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 55
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load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 99
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load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 124
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load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 122
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load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 110_1
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", - "MV3.101 Bus 48
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load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 106
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load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 128
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load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 75_1
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", - "MV3.101 Bus 71
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load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 46
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load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 BS busbar1A
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", - "MV3.101 Bus 53
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load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 40_1
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", - "MV3.101 Bus 13
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load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 39
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load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 66
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load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 88
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load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 96
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load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 69
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load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 58
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fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 142
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fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 127
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fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 84
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fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 114_1
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", - "MV3.101 Bus 138
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load=Count: 1, Rated Power: 595.0 kw
fixed_feed_in=Count: 1, Rated Power: 252.3 kw", - "MV3.101 Bus 129
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fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 130
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fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 16
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fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 111
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fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 113
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load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 134
43d06b2a-981c-4b51-91ab-978c392becb0
load=Count: 1, Rated Power: 595.0 kw
fixed_feed_in=Count: 1, Rated Power: 252.3 kw", - "MV3.101 Bus 80
6df59148-c230-4892-82b3-c4f05c68bcdc
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 91
5d07ed20-5410-4014-8a38-afbb90cb68af
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 75
a0716f3b-09b0-437c-98c4-dd18397051f1
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 143_1
8b864fa2-3051-4369-91ec-9e17b71a1423
", - "MV3.101 Bus 115
fb02db79-c6b8-4bf0-8a0b-e661fb04086a
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 43
a5d72bf6-6a61-4314-b541-f5635d5c334f
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 17
b4551111-75bb-4e9d-986b-685e4ca7a22d
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "HV1 Bus 25
b0bbd85c-6540-4418-b083-455daed681bd
", - "MV3.101 Bus 117
f3065cce-6302-4365-8036-4fc2f126ade8
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 78
04beeb0e-78d7-46b8-aca5-76d3a009638f
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 49
a21d803a-04cb-43c3-b531-7111536ef7a0
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 85
c9a17f26-fdc3-434d-bd81-ce7cafe7821a
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 123
889c84e9-c717-4471-84b4-b3423b30dc78
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 76
af2a653a-5fbb-48f4-94fe-da098579ebe7
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 11
8b647a1a-b5d6-46b2-9ec3-3bdbf6e0de34
load=Count: 2, Rated Power: 563.3 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 98
f2ab91df-6f6a-439b-95da-135dc5fca6a2
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 18
28a6c897-d718-4eb8-9088-4e8d455e5e8e
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 103
f5fb7dc2-2a15-489a-9339-f8fd351836a4
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 100
3df23ce8-f8ed-4562-b3d3-3904e1aacfa6
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 37
c22fab8c-3947-44d2-a5f3-b997e6eadb35
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 14
e4aaf6c9-8551-41c4-a3f9-54d7348076af
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 107
40612e93-0348-46dd-8d66-a5480fb4484d
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 105
957fb2b9-d0db-48e4-bc59-39741464ed1c
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 92
ee484025-9503-4938-8690-5a7f0861370e
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 119
58435c80-af6d-4675-b5de-41d8d4c0b87a
load=Count: 1, Rated Power: 595.0 kw
fixed_feed_in=Count: 1, Rated Power: 252.3 kw", - "MV3.101 Bus 73
0f63de16-1c22-4e6b-8090-90929e2e407f
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 56
0d6102de-9f0f-47fa-9eb2-e8f5149a7851
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 33
46248ba3-8fa1-4225-b087-10739b0811cd
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 15
2837f3ce-c6fb-45ba-9cf0-27ad14987c81
load=Count: 2, Rated Power: 774.3 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 31
b7e2b6d4-7566-417f-b5a3-f2ead1ceed98
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 25
97b96777-900f-49d2-90b5-044c38bc371e
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 60
c2d61c41-06a1-4490-9e68-8fe7dfec579a
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 55
38145153-0dd5-429c-b0c8-e876956fa70f
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 99
f6761178-0491-441c-b7e6-4126b29fbada
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 124
79143963-b1bb-4eca-8ba8-d3712f5696c5
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 122
cc0495c9-0bfe-41ba-b98b-978b8f4b1b69
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 110_1
335dc8f6-35c6-4c94-bf39-a77cbee563e8
", - "MV3.101 Bus 48
9b372fbc-8da2-48a3-b76e-ad52957f77d3
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 106
8f2d1b47-8115-4139-93d2-3ddb6a9119ff
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 128
ebde173b-fb40-484b-aeb9-d565b97c5102
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 75_1
a4b428dc-15dd-4b48-a115-322988f0cf73
", - "MV3.101 Bus 71
2289d9f8-70e3-438f-a25a-8812b53f0aff
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 46
99d5e9ac-6fdf-4957-bf69-64dc088434f4
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 BS busbar1A
6bc544cf-71e5-4d0a-941a-4e806c22fd8d
", - "MV3.101 Bus 53
296e67f3-2711-43ff-9a46-eca3f60b0001
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 40_1
557b9f51-d83c-476c-a84c-d240530c203d
", - "MV3.101 Bus 13
5f35664a-a4ef-4a48-849c-c4c058f6cffa
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 39
49840d95-2aa5-490c-90ad-556dfee4cb89
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 66
5b421400-8cdf-4847-bdbf-452ece1ed348
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 88
51f05c04-30ac-4430-b970-0081f1b6d8b1
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 96
ad120450-c8c2-4859-a7c4-f487fbe10824
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 69
8515f8eb-33d1-46c5-8467-ab12155a5474
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 58
53765bfa-5e7d-40e6-8b1f-88e6ac6e2bd9
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 142
26245e34-6c7f-4c21-a52f-733486b96eb1
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 127
5e3c4932-5022-40b3-a533-ff831bcf18b9
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 84
aba677f2-f1c5-409e-8587-05acecbe09a8
load=Count: 2, Rated Power: 1090.7 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 114_1
8252e667-afbf-4fff-b0b8-595f40b82273
", - "MV3.101 Bus 138
66f96b86-254e-4205-8cb8-c0634a8fa91a
load=Count: 1, Rated Power: 595.0 kw
fixed_feed_in=Count: 1, Rated Power: 252.3 kw", - "MV3.101 Bus 129
f768ffeb-1021-47d1-b606-9f15103988fc
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 130
0e3f552a-5dc5-4781-969e-13b0600e4deb
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 16
2aab5612-f39a-4cc1-bb96-056b873a6310
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 111
a670449b-2ffd-4bae-9e01-1d7aab6939f6
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 68
bd345c13-e871-4357-af6e-3969889ff035
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 51
52ac8b75-96b7-460e-a927-237d89a13663
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 40
a5ccf309-420a-474f-a6ed-96cb3ffa2e56
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 67
8b19ef59-b368-42eb-a754-12936b5d4d17
load=Count: 2, Rated Power: 647.7 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 136
e4da35ec-8275-424a-bee3-5dc1a8c3dfb8
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 44
8da74e62-9268-426e-8878-1f83c12e40e6
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 114
01dca738-329e-4c8d-900c-fd0f48acc874
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 30
13765175-44d3-4aa2-aa3e-7ed85822fcef
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 132
a9c53c7b-e700-4412-93be-348459028998
load=Count: 1, Rated Power: 595.0 kw
fixed_feed_in=Count: 1, Rated Power: 252.3 kw", - "MV3.101 Bus 63
eec4851e-6d4a-4710-aa77-83c9d4bfac28
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 38
61d6379d-b010-461e-96e5-921149c0c8b6
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 93
3342bab1-65b4-4a4b-a2e8-365a162ead81
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 135
b649cc84-5230-485a-808c-2078624d3681
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 24
5e880ada-8200-4681-8533-c759b0a8ec35
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 110
42a7a176-bb8b-4281-8ba4-b2a2486f6b90
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 97
46f61d50-fb44-491d-a4e6-468102797132
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 57
cd736b45-3d94-402d-b11b-2a0ece139b71
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 47
f5ffa031-1062-4c4e-9495-8e40e2b55e1b
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 20
98c94532-d796-4df2-864f-08b93b2244ab
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 113
380a3c84-fd4b-487c-b2de-00a3b19b27bc
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 118
8f65cec0-ee20-4f8c-8bdc-41f3218c067e
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 126
4920ef18-6e90-45e5-afaf-9e8b60eb6d0e
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 141
3342da5b-7e73-4fc5-af28-3d12619d9426
load=Count: 1, Rated Power: 595.0 kw
fixed_feed_in=Count: 1, Rated Power: 252.3 kw", - "MV3.101 Bus 22
a6f270ec-f5e8-4c3d-817d-664539f01387
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 140
6f477624-e576-4286-8d62-ea909e214a75
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 18_1
5d60f397-ce09-4dc5-87c9-0382e71c694e
", - "MV3.101 Bus 42
0dd3fdac-f05d-4e68-9611-a73f267ed9eb
load=Count: 2, Rated Power: 816.5 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 94
a21047e0-d924-42e0-a5e5-0998d65266a6
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 104_1
ef10dec9-bbbe-4fe9-856c-28f44b5551bf
", - "MV3.101 Bus 139
8559c7b0-c882-466d-8560-00c4db86956a
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 118_1
46b59740-e384-4038-beae-3de74fa9a3c6
", - "MV3.101 Bus 116
e386caca-6ea9-420c-b732-a79f55899458
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 135_1
fad370e8-1530-4310-8181-eacbd141642b
", - "MV3.101 Bus 21
3c849b73-7c59-46ec-aad2-b019beccb4c5
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 59
b0f1f7d4-4ddb-4a56-91ad-e85590714c87
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 12
dc68cf3e-ecb0-4740-a561-de6316c7376d
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 90
d873af06-2e6e-4629-9c42-a30b4aeb4fa7
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 72
a41231cc-4836-4343-b236-396720582e32
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 133
8c073498-b9e2-439d-94a8-63f68f56f192
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 108
0e96dffd-d5ea-4f2c-a133-bacb7a85ca31
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 121
ef1b266d-3f64-4f9e-a5c5-49ab174370a6
load=Count: 1, Rated Power: 595.0 kw
fixed_feed_in=Count: 1, Rated Power: 252.3 kw", - "MV3.101 Bus 62
3ecf3284-5919-49ba-a60a-22996f8bc202
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 26
6e136d5d-19d7-4556-88a3-3dbdd803c6b1
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 61
393881b0-3b78-413f-b065-03d216803c87
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 29
1d219ef0-079c-4df8-8449-e80cb2af6793
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 131
6588b688-92b7-4863-811d-fb86b70e89ad
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 87
81f7b5c4-8ebf-4b8a-8731-f0c67a6e8611
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 70
090d13e8-3cce-4793-816f-4c50f23f3f7f
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 89
16449d90-cc56-48b9-8067-97986b715758
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 36
8bf1ca07-f887-43ec-9e10-f360c0644954
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 74
09153599-9b88-49f8-aecd-d57d8ab9e2b6
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 83
32145578-706b-47e5-86ae-217d9a41867c
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 54
0f9e330f-7db2-48d6-8d07-8741f294f4a9
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 95
2dcbdf1e-c956-46f1-9c60-2e0aa45053d4
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 23
00933d03-18e0-4681-a7d3-b94cac5ada41
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 137
83e2fc45-c6d9-4a8e-8936-4c18b9da0b59
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 79
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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "image/png": { + "height": 413, + "width": 1014 + } + }, + "output_type": "display_data" + } + ], "source": [ "from pypsdm.plots.common.style import set_sns_style\n", "from pypsdm.plots.results.power import plot_active_power\n", @@ -7093,21 +6568,21 @@ " )" ] }, - "execution_count": 18, + "execution_count": null, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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CjDKH0HYXN7RU5n3hpyW+pOixE6rxm5LvvwAAAEByEdgnyGeffRYT1t9999267rrrEvZ8r732mvLz8yVFq+tHjBiRsOcC4D20xI/PfOK2sCSoL3a4Mxav4vUSy/yaoSU+AADewxz28Zlb4lNhX818oQcV9lF+f+wxRYU9AAAAkFz8NEmAFStW6Oabb44J66+//vpGbWvWrFnatWtXressXLhQ9913n7E8Y8YMpaenN+r5ADRPBIrxdWjr9gi8r11rt0fgMQT2AAB4nl1gz3zkUeaLD6mwr2ZpiU+FvSSbacSosAcAAACSigr7Gnbu3Kl58+bF3JeXl2fc3rhxox577LGYv48dO1bjxo0zljdt2hQT1n/rW99Sz5499d5779X63FlZWRo5cqTl/hdeeEF//etflZOTozPOOEP9+vVT+/btVVlZqa+//lpLlizR+vXrjfXHjx+vH/7wh/X/RwNISVRMV7twtPTSEulIodsj8a4rv+P2CLzFcpKbE5YAAHgOFfbxmSvs+S5TzRLY87tJEq8ZAAAAwG0E9jXs3r1bTz31VNy/5+XlxQT4khQMBi2BfXFxsbH84Ycf6sMPP6zzuUePHq25c+fa/i0SiWjdunVat25d3Mf7/X5dd911+ulPf6pgkP+sQEtjPjVJYF+tZ2fppfulN5ftVlFJRIFAQF27dnN7WJ7g80mDe0sDe7o9Em8xHz9U2AMA4D2Vldb7mMM+ylItzXcZgyWwp++kJLsKew4mAAAAIJlIdj3u6aef1urVq7Vu3Trt2LFDR44cUUFBgSSpffv26t+/v0aNGqUpU6aoZ08SF6ClIlCsXYc20shBx1VZWalgMKhBgwjsEZ/59CQnuQEA8B67CmAuWo2yVEvTEt9g3he0xI+iwh4AAABwF4F9DWPGjLFU0DfUlClTNGXKFIdGJOXk5CgnJ8ex7QFITebAnnOVQOOZT/YzhycAAN5jDhT9vgiB/X9QYR8fFfb2rK8ZDiYAAAAgmfhpAgApwBLYc34FaDRLYM9JbgAAPKfSVCnN999qVNjHZ7nQg7NikqwXLlBhDwAAACQXP00AIAWQJwLOMVcYMeUEAADeY1dhjygq7O1FItbOSVTYR1kvWOUKGAAAACCZ+GkCACmACnvAQbTEBwDA88xV43z/rUaFvT27/UBgH2WpsOc1AwAAACQVP00AIAUQ2APOsVTYuzMMAABQC+tc5HxiV6HC3p5dm3da4kdRYQ8AAAC4i58mAJACaNkNOMdywpIKewAAPIc57OOzVNjzXUaS/X6gwj7K8prh9yUAAACQVPw0AYAUxAlLoPHMxw8XxAAA4D3MYR+fOXzl4sMoKuzjs3SYosIeAAAASCp+mgBACjCfnuT0CtB45uOHqjQAALzH/PnMBavVzOEr32Wi7OZlJ7CPslTYhzigAAAAgGTipwkApAAqgAHnmE9YcngBAOA95vCVOeyr0RLfnm1LfHJpSdapAXjNAAAAAMlFYA8AKcAc2FNhBDiHNrIAAHgPc9jHZ66w57tMFC3x47NOCcUBBQAAACRT0O0BAACajsAecI51Dk93xgEAAOJjDvv4qLC3Z77IQ5ICgeSPw4uosK/djt3SsrVSeaXbI/EWv08afZJ02kC3RwIAAND8EdgDQArg9CTgHPMFL1SlAQDgPZbAnkppAxX29miJH5/l+y8V9obPNkrn3iGVlrs9Eu+a+0vp2u+6PQoAAIDmjZ+0AJACqLAHnGNpCerOMAAAQC3Mc9hTYV+NCnt75teMxIUeVaiwj+/ZRYT1dfnzfLdHAAAA0Pzx0wQAUoAlsHdnGEBKoMIeAADvM7c3N1eVt2SWCnuuZZDEHPa1Me+HcJgDqsrhQrdH4H17D7s9AgAAgOaPlvgAkAKosAecw0luAAC8zxy+8v23mjV8dWccXmPbEp/AXhLff2tTYZq3vmN7qUu2O2PxiuOl0tf7qpeLS90bCwAAQKogsAeAFMT5SqAJqLAHAMDzzOFrwE/CWIU57O3REj8+plGIz9zNY9K3pZsvd2csXrF6i3TLrOplAnsAAICm46cJAKQAy+lJEnug0cwnuc0dLAAAgPvMIZqPOewNhK/2bFvi87tJkrVDRYSW+Abze00g4M44vKR1q9jl4jJ3xgEAAJBKCOwBIAUQKALOMZ+epCUoAADeYw5fCV6r0d7cnjl49fuZSqGKeWoAXjPVzC3xmUZByjQF9pUh634CAABAw/A1EwBSgGUOe3eGAaQEn+nbERfEAADgPWGb8BVRVNjb4yKP+MwXLoQi7Jwq5qkUglTYK6OV9b7jJckfBwAAQCrhJy0ApABLYM/5FaDRqLAHAMD7rOErH9hVzIE9c9hHWV4znBEzWCrsaYlvMHdmILCXMtOt9x1nHnsAAIAm4ecJAKQA8+lJAnug8ZjDHgAA77O0N+f7r8HSEp/AXpK1UprXTDW6MsRHS3wrc0t8SSqiwh4AAKBJ+JoJACmAlviAcywtQTlhCQCA51irpbnCrgrhqz0q7OOzXrDKL8oqVNhbpQWt+4EKewAAgKZx/OfJo48+qg8++EDHjx93etMAgDgsFcCcXwEazRzYU2EPAID3MB95fJYKe77LSOI1Uxsu8oiPwN6eucqeCnsAAICmCTq9wb/85S+aM2eOAoGAhg4dqlGjRmnUqFEaOXKk2rdv7/TTAQDEHPaAkwjsAQDwPkt7cyrsDYSv9qiwj896kQc/KKtUmN5rAgT2kqLz2BcWVy8XFcdfFwAAAHVzPLCvUllZqQ0bNmjDhg165pln5PP5NGjQICPAHzVqlE444YREPT0AtGicXgEaz3z8UJUGAID3MId9fMxhb898kQdzkVczX7zAa6aapcKe140kKcNUYV9IYA8AANAkjgf2Q4cO1ZYtWxSJRBSpUZIWiUS0ZcsWbdmyRf/6178kSf369YsJ8Lt27er0cACgRaAlPuAcn+kkHBX2AAB4j7W9OR/YVQhf7XGRR3xMoxCf+XWTlrDSp+YlMz12mcAeAACgaRz/mjl//nwVFRVp1apVWrlypT7//HOtX79elZWVMQG+JH355Zf68ssv9dJLL0mSevXqpVGjRmn06NEaOXKkevXq5fTwACAlmc+ncNE/0HiWCntOcgMA4DnW9uYkjFUIX+3REj8+60UeXM1QpaIydpnODFGZGbHLx0vdGQcAAECqSMh1oW3bttX48eM1fvx4SVJZWZnWrFmjlStXauXKlVq3bp1KSkosAf6uXbu0a9cuvfrqq5Kkbt26aeTIkUaA369fv0QMFwCaPSqAAeeYT3JzfAEA4D3WCnt3xuFFzGFvj9dMfHRliM9cYc8c9lHmCvuiEnfGAQAAkCqS0sipVatWGjt2rMaOHSspOr/9+vXrjQB/9erVOnbsmCXA37NnjxYsWKAFCxZIkjp27KhRo0bpscceS8awAaDZoCU+4CCq0gAA8Dxre3M+sKswh709Kuzjs3Zl4AdlFcsc9gT2kqRM0xz2BPYAAABN48rMS8FgUMOHD9fw4cN14403KhKJKC8vz2ihv2rVKh08eFCSYkL8gwcPatGiRQT2AGBiDuw5vQI0HhX2AAB4X8gc2BO+GqiWtsdrJj5LVwYCe4MlsGcOe0lShimwpyU+AABA03jia6bP59PQoUM1dOhQ/dd//ZckKT8/X59//rkWL16s999/Xz6fz1KBDwCIshTYc34FaDTz8UOFPQAA3mNtb84HdhVLYM+ukURL/NrQlSE+8xz2QS70kCS1NlfYF7szDgAAgFThicC+pkOHDunzzz/XypUrtWLFCm3btk0+kicAqBUV9oBzCOwBAPA+2pvHZw5fmcM+yrwfmIu8mrUrA78oq5gr7NM8dybVHRmmOeypsAcAAGga179m7t692wjoP//8c3311Vcxf69ZVd+uXTudfvrpyR4iAHgec9gDzjEH9hFOcgMA4DnWOezdGYcX0RLfnvk1E+A1YzDvixAXrBqYw96eeQ77YgJ7AACAJkl6YF/V6r4qpN+zZ4/xN3PL+65du2rEiBHG/4YMGUK1PQDUA2+VQONZ5rB3ZxgAAMQ4fEzamO/2KLxj98HYZVriV7O0N2fXSGIO+9r4TPuCGSmjIhFrS/wArxtJ1sCeCnsAAICmSXhgn5eXZ1TPr1y5UocOHTL+Zg7o+/fvr5EjR+qMM87QyJEj1atXr0QPDwBSAi3xAeeYjx/ayAIA3PbyUmnaA9bAEdX8fhLGKuYgmu8yUcxhH5+lwp6W+JLsu1NQYR9laYlf4s44AAAAUoXjgX1ubq4R0K9evVrHjh0z/lYzoA8Ggxo2bJgRzp9xxhnKzs52ejgA0CJYTk9yfgVoNCqMAABe89t/ENbXhWrpapYKewJ7STaBPa8ZA99/7Znb4UtSgMBektTa3BK/zJ1xAAAApArHA/urrrrKaFtfM6Bv3bq1Tj/9dCOgP+2005SRkeH00wNAi8QJFcA55utdaCMLAHDb7kN1r9PS9e5EWlSFOeztmfcDgX0180UeVNhHmdvhS7TEr8Ic9gAAAM5KWEv8SCSiHj16aNq0aRo3bpyGDh0qP7+GACAhzIE97R2BxvOZ57AnsAcAuMwcGmW2Imys0ipNOq1vgc4eVqAkzPrXLDCHvT1zlwqC12rm9xO+/0bZVdjTEj8qwxTY7zsi3fh7d8biSRXddOmoferXnYMJAADUT8J+zfp8Pu3Zs0ezZ8/WsmXLNGrUKI0YMULDhw9X69atE/W0ANAiWU6oENgDjWYO7KlKAwC4zRwaPfkTaVg/d8biRVu3HlClTSVsS0WFvT1a4sdHhb09WuLHl2maw76kTPr7m+6MxZu66PVPs7Xg15vdHgiAFLT9G+mWWdK67W6PxHtat5Ku/I70+1v4zEbz43hg/61vfUtr165VUVGRJKm0tFSff/65Pv/8c0lSIBDQ0KFDjQB/xIgRzF0PAE1EXg84x3zCkgojAIDbzKERFZ6oDRX29szHUYAfTQZztwEu8oiqsAvsudBDktS+jdsj8L5DhWna8HWmRo90eyQAUs2PHpGWrHZ7FN50SNJjL0mnD5amfdft0QAN43hg/9e//lXhcFibNm3S559/rpUrV2rVqlU6cuSIJKmyslIbNmzQhg0b9Mwzz0iS+vfvrxEjRmjUqFEaOXKkunfv7vSwACClmQNFc4UwgPqzVNhzkhsA4DJL0EhghFqYK8fNleUtFRX28Vm///KDUqIlfm36dpMG9JC273Z7JN52vJQ3GgDOW7PV7RF43+ebCOzR/CSkJb7f79ewYcM0bNgw3XDDDZKkbdu2GQH+ypUrtW/fPmP97du3a8eOHXr55ZclSd27d9eIESM0cuRIjRw5UgMGDEjEMAEgZVgCe3eGAaQE5rAHAHhJOGz9LKK9I2pjvqAjQmAvicC+NpYKe77/SooT2PO6kRQ9fp78qbTgY2n3QbdH4x1vfSYVl1YvV4Y4OwPAeeUVbo/A+8rYR2iGEjaHvdnAgQM1cOBAXXPNNZKknTt3xgT4X3/9tbHu7t27tWfPHi1YsECSlJWVZQT4I0aM0KmnnpqsYQNAs8Ac9oBzmMMeAOAltnMoExihFubvMiHCV0lSiE4VcVFhb6+i0nofF0xVy24nTb/A7VF4y4pN5sCeNxoAzjNP2fK/06QTu7ozFq94cbG0fF31st1nOOB1SQvszXr37q3evXtrypQpkqT9+/dr5cqVRoi/bds2Rf6TQB05ckSLFy/W4sWL5fP5tHHjRreGDQDNAqdXgMYzz/v67NvS4lXujMVr/H5pQJceuvXineqQ5vZoAKBloCUzGor5yO1ZKuz50WTgNWOPC6bQUObPZyrsATgtErFW2J82QBrYy53xeMXytbHLBPZojlwL7M26dOmiiRMnauLEiZKkgoICrVy5UvPmzdP7778vSUaADwCIZSmw5zch0Him4+dAQfR/iFq9pZNC4bDuvWav20MBgBaBCk80FN2C7JkDe46jaubpAcJhflBK1sDe52MqBdTO/L5SQWAPwGGhkLXTKhfzWvcBgT2aI88E9lW2bt0a0yr/wIED8pE8AUCtuJ4JcE6HNm6PwPtyv2zr9hAAoMWgwhMNZQlfI9HfCy391Apz2Mdn7jbAHPZR5pP9vPeiLtYKe3fGASB1ldsE0WmeS/mSz/z+a7efAK9z9VAOh8PauHGj0Qp/1apVOnr0qO26VNcDQHzmt8iWfjIOaIpLz5QWfCyVlLk9Eu+itSMAJI9tS3xCI9TCrtU7gb11Dnta4lezu8gD1vdfAnvUxfz5zO8mAE6zqxwPEthbL5gisEczlNRDuaKiQuvWrTMC+rVr16q4uNj4e7xQvnPnzho1apRGjhyp0aNHJ2u4ANBsWAJ7d4YBpIShfaR5D0hrtkilFXWv3xJs+FJ6dXn1cjjCuwwAJItthT1tL1ELu8rxUJiKcsLX+CwV9rTEl2TzmuG9F3Uwv0YI7AE4zbbCns8nWuIjJSQ0sC8pKdGaNWuMFve5ubkqLy83/h4voO/Ro4dGjRpl/K9Pnz6JHCYANHvMYQ84q3OWdD7XCBoyW8UG9jQ+AoDkoSU+Gsqucpx57GmJXxsq7O3REh8NZW2Jz8kZAM4qtyksoSW+TWDPlCRohhw/lJcuXWoE9Bs3blSoRs+xeAF9nz59NHr0aI0cOVKjRo1Sjx49nB4WAKQ0WuIDSCTzWwrncAEgeaiwR0PFq7Bv6Qjs4zNf5BGhwl4SXRnQcObAKMSxBMBhdhX25veelogKe6QCxwP7H/3oR/L9JymyC+h9Pp8GDhwY0+K+U6dOTg8DAFoUql0BJJLlJC7vOQCQNLZz2HNSDrWgwt6eeQ77ADmawXzxQojvepII7NFw5jnsK6iwB+AwuyCalvh2HU7cGQfQFAlrllEV1gcCAQ0ZMsRobz9y5EhlZWUl6mkBoEWiwh5AIvksbVJ5kwGAZLE7KWcXyAJVqLC3Z94HdKqoZmmJT1WwJFrio+GYwx5Aotm1xOc7jRQ0JZ1U2KM5cjywDwaDOuWUU4xwfsSIEWrbtq3TTwMAqAU/CQE4iQp7AHCPXYUnF2eiNrYV9nx20xK/FnzXs2d5/yUQQR2Ywx5Aoplb4gcD/DaQmMMeqcHxwH7lypXKyMhwerMAgFqYz6fwRQ2Ak6wncXmTAYBkMQdGhIyoi22FPSctrRX2HEsGa0t8vutJtMRHw1nmsOe9F4DDzBX2XEwWZQnsbToRAF7n+FfNeGF9eXm5I9tfvXq1I9sBgFRCBQSAhKLqCgBcQ2CEhrKbm50Ke5uLX8ikDVTY27O0xCcUQR3Mr5GKMB/aAJxlV2EPKuyRGpL2reGOO+5QONy0SdNWrVqlGTNmODQiAEgdljns3RkGgBRlPonLSX8ASB4CezSUjznsbZkrXTmWqlkq7Hm9SOL9Fw1naYlfydkZAM4yX0yWRmAvyW5KEnfGATRF0r5qLl26VPfcc0+jH7969WrNmDFDxcXFDo4KAFKDJbDnNyEAB1F1BQDuITBCQ9lV2NOWmTnsa2N+XwnTEl8S779oOEtLfC5+AeAwc0t8KuyjLBX2lfbrAV6W1K+a8+fP18MPP9zgx61cuZKwHgBqYcnOOL8CwEHmi4CYwx4AkscSGHFSDnWwq7CnOw5z2NfG8l2PkFES779ouKDpfaUyxO8mAM6iJb49KuyRCpL286RTp06KRCL6+9//rr/+9a/1ftzKlSt188036/jx45Kk8ePHJ2qIANBs0RIfQCLREh8A3GOZQ5mQEXWwrbAngCWwr4W52wAV9lFU2KOhLHPYE9gDcJi5wp6LyaLMUwMQ2KM5Cibrif76179q+vTpKiws1COPPKLs7GxdccUVtT7GHNZ/5zvf0eOPP56M4QJAs0JLfACJZK7Uo8IeAJKHwAgNZVdhv2yttHVX0ofiKfsOxy7TEr8aF2faM7//UsWIulhb4vO7CYCzmMPeHi3xkQqSFtgPHTpUTz75pG688UaVlZXpV7/6lbKysnTeeefZrh8vrE9PT0/WkAGg2SCwB5BI5rcUzuECQPKYAyNCRtTFrsL+hw8lfxxex7FUzVJhT0cGSVwwhYaztmTm5AzqdqBAmvm4tCrPen6vpUtPk0YN6KabL9yptDS3R+MNtMS3FzQlnQT2aI6SFthL0qhRo/TII4/ojjvuUGVlpX7yk5/ob3/7m0aOHBmz3sqVK3XTTTcZc9Z/5zvf0ezZs5WW4HflUCik7du3a/369dqwYYPWr1+vzZs3q7S0VJI0efJkPfRQw37lfvXVV3rhhRf0wQcfaM+ePQqHw+rSpYvOPPNMXXXVVTrppJPqva3y8nLNmzdPixYt0o4dO1RQUKATTjhBQ4cO1cUXX6xLL71Ufn5xAgAAh5mrrjiJAADJQ2CEhrKrsIcVJ7irWb/rETJKTEmChrME9lTYxzheIr23KhpQI6q0TLqDhsK12pjfRZ3bl2rauQVuD8UTzC3xzUF1S8Uc9kgFST+cJ0yYoF//+te69957VVZWph/96EeaO3euhg4dKsm9sF6SZs6cqXfeecex7b344ov63e9+ZwT+VfLz85Wfn68XX3xR//3f/63bbrutzm1t375dP/7xj7Vt27aY+/ft26d9+/Zp2bJlevHFF/X444+rU6dOjv0bADQP5uyMCnsATrK2xHdnHADQElkCe0JG1CHglwb2kra18Bb4dRlyotsj8A5z7UeI73qSaImPhjN/RhMYVauslM69Q1qZ5/ZI0Byt3dGWwP4/aIlvj8AeqcCV62+mTp2qI0eO6NFHH1VhYaFuvPFGPf/889q3b19MWH/OOefo8ccfT0pYL0Ur7GvKyspSVlaW8vPzG7yt1157Tffdd58kye/3a+LEiRo3bpyCwaBWr16tV199VeXl5Zo9e7bS09N10003xd3W/v37deONN2r37t2SpCFDhmjy5Mnq0qWLdu7cqXnz5mnnzp1atWqVbrrpJv3zn/9U69atGzxmAM0X4RmARLLOa8pVQQCQLFTYozEeuFH6f89J+XvFXDYmmRnSRWOksSe7PRLvME+jEKYqWBLvv2g45rCP7/PNhPVovOJy3oCrWLq/ENhLsu6HUDh6vpyiNjQnrjXMuOmmm3To0CH94x//0KFDh3T99deroKDAtbBeknJycjRgwAANGzZMw4YNU+/evfXKK6/orrvuatB2Dh8+rPvvv19SNKx/4okndN555xl/nzRpkqZMmaIbbrhBJSUl+uMf/6gJEyaof//+ttt76KGHjLD+4osv1sMPP6xgjV4n06dP1y233KIVK1Zow4YN+stf/qKZM2c28F8PoDljDnsAiWR+T+EiIQBIHloyozEG9JCe+pnbo0BzQTcle4QiaKiguVsFc9gbDhx1ewTNww8vlgb2dHsU7lueK731afVyWQVfgKuY57Cnwj7KrgtORaWUnrx4EWgyV2e4uOuuu3TkyBG9/vrr2rNnjyL/+UXgRlgvSbfccosj2/nb3/6moqIiSdK0adNiwvoqw4cP1x133KGHHnpIlZWV+tOf/qRHHnnEst62bdv05ptvSpI6d+6sBx54ICasl6Q2bdpo1qxZ+u53v6uysjI988wz+sEPfqD27ds78u8B4H0E9gASyVph7844AKAloiU+gESzVNjTTUkSLfHRcNaWzBxLVUrLYpfTg1K/7u6MxYuy20k/uFgaPsjtkXjD4cLYwL6UCnuDeQ77NOawl0Rgj9Tg+uH84IMP6ujRo1q2bJl8Pp8R1ptD6ebkrbfeMm5ff/31cdebOnWqHn/8cRUXF2vJkiUqLS1VRkZGzDpvvvmmcSHD1VdfrTZt2thuq2vXrrrooos0f/58lZSUaPHixZo8ebID/xoAzYFlDntXRgEgVVkvAuJdBgCSJURLZgAJZq6w5+LMKFrio6Gsc9jzu6lKmSlk7NVFmnuvO2OB92Wkxy5TYV/NXGHPxWRRdp0GzJ1yAK9zNBV/4oknGvW4gQMH6qOPPlJaWpoGDRqkp556qtb1b7vttkY9TzJs27ZN33zzjSRpwIAB6t27d9x127ZtqxEjRuiDDz5QcXGxVqxYobPPPjtmneXLlxu3x48fX+tzjx8/XvPnzzceR2APtBxU2ANIJPN7CidxASB5CIwAJJp1Dnt3xuE1tMRHQ1nnsHdnHF5UWh67TBtv1IbAPj7zZxOBfZTdfjBf3AB4neOBva8JKVEoFNJf/vKXOtfzcmC/ZcsW4/app55a5/qnnnqqPvjgA+OxNQP7SCSibdu2SZICgYBOOumkOrdlNw4AqY85BgEkkrklPu85AJA8BPYAEs1aYc8V4JJNS3zef1EHS0v8MMdSlTJTYE+batSGwD4+c0v8Ztyo2lHxWuIDzYnjh3MkwWdwm3JBQDLs2LHDuN2rV68616+5zpdffhnztz179qikpESS1K1bN6Wl1f5Nplu3bgoEAgqFQvrqq68UiUQ8v78AOIMKewCJ5Df9No5wEhcAkoY57AEkmvlCIC7OjOL9Fw1lqbCnJb7B3BKfebdRm1YE9nGZq8bpVhFFYI9U4OhHo5cr35OlsLDQuJ2dnV3n+llZWbaPlaRjx47ZrhdPWlqa2rZtq6NHj6qiokLFxcVx57xPhm3btslvPsOPBqmoqDD+Pzc31+XRwMuKivpJamcsHzp0QFu3Frg2Hi+qrKw0/n/r1q0ujwZoXnbuT5fUx1gOR/hsApqK73mor13fdJbU3VguKz2urVt3uzcgD+J7HtA03+xuJelEYzkUFp9NkvYf6CXpBGO5qLBAW7cecG9A8LwD+9uq5md2ZYhjqUr+110kdTOWK8v5PoP4Du7PkFQ91XBZpY/fTf+xd19PSR2N5eLjfDZJUkWlT9LAmPu+2LBZxw6U2z+gBeIchLPCCZhDisDeYcXFxcbtVq1a1bl+RkaGcfv48eNN2pZ5vePHj7sa2IdCIYVCobpXRL1UvaECdsKmCaUj4bBx4hJW7BugYcLh2EuVqyrs+WwCnMGxhNqUVcR+z/P7+J5XG/YN0HDhcOzpwUjEx2eTpIrK2Pdfn0K8x6B2kdjzoJVhjqUqpeWxx1PAz/GE+AK+2OOmrMKvSITfTRK/DeKx6w5UWhbiNRMH+8WbaD6DhAkEAlTYN1HNN866pkRAy2ae/sLv9yvIJEYxan55Zd8ADRO06S0WiUjpTDwINBrf81BfEcW+BwcDPr7LmPA9D2iaNFM/3XCEzyZJCkdi90takN/ZqF16Wux50FDIx7H0H5WmC4PS0/g+g/haZ8QeS5GITxUhn9pk8poxfzalBzmWqvh8kdgpHH1pSkujoLQK5yCcFQ6HHS9Y5kh2WOvWrY3bZWVlda5fWlpq3DZXwzd0W+b13Kyul6SBAweqbdu2ro6hucvNzVVFRYXS0tKUk5Pj9nDgYebDvXPnzho0qLM7g/GorVu3qrKyUsFgUIMGDXJ7OECzErT5OA8G+WwCmoLveaivjp/GLrdv35bvMiZ8zwOaJpJhWo74+GyS1KZd7HKnjtkaNKju6S/Rch00nb4NhTmWqrRbErvcMbudBg1qZ78yWrysAut9oUgr5eQMS/pYvKa1+RxwJz6bqqQHpbIaheP9+g9WzlD3xuM1nINwVlFRkfLy8hzdJuXPDmvXrvqLxpEjR+pcv6CgwPaxktS+fXvb9eKprKxUUVGRpOgVMjUDfwCpzdz2x2e/GgA0it/mTSVs024MAOC8StNF+wF+xQNwmPm7XgKm5GyWLO+/1qZTQAzzayQU5uxMlTJT92WataE2GenW+0rLOZ4kqdzU/T6NklyDuTmkeV8BXsdPfYf179/fuL1r164616+5Tr9+/WL+1r17d2VmZkqS9u7dW+e8Env27DFaMPTp08fSIhtA6rLkZhz+ABxk95Uips0YACBhCOwBJJp5NsOIfLZzwbY05vdfm1migBhB07FEYF+ttDx2OZ2QEbWwC+xLyvkSLEnlpoiIbvjVzBdNlZfbrwd4Fe9yDhs8eLBx+4svvqhz/ZrrmFv3+Xw+DRw4UJIUCoW0adOmRm8LQGozn0yxq4YFgMaiwh4A3FNpqgyhwhOA02y/61FlrwrT+y+BPepiDs7MF320ZFTYoyGCAetFqqUE9pKs7ytU2Fejwh7NHe9yDhs4cKB69OghSdq+fXutVfbHjx/XqlWrJEmZmZkaPXq0ZZ1vf/vbxu3ly5fX+tzLli0zbo8fP75B4wbQvFH9ACCRfDbfGAnsASA5LBWe/IoH4DBzhb0khQjsFTK9/9rtJ6Amc1hEhX01KuzRED6ftcqeCvsoc4V9GrvFYAnsa29YDXgOh3MCXHTRRcbtZ555Ju56L730koqLiyVJ5557rtH+vqaJEycat1944QVjfbN9+/bprbfekiRlZGTovPPOa8zQATRTljns+U0IwEG2bykE9gCQFBXMoQwgwaiwt2epYuT9F3UwVwQT2FezBPZU2KMOrcyBfRlRlmQzhz3HksEc2Jt/RwFex7tcAvzwhz9UmzZtJEn/+te/tHjxYss669at0x//+EdJUjAY1K233mq7rUGDBhkXABw4cED33nuvKk09EY8fP66f/exnKisrkyTdcMMNat++vWP/HgDND4E9ACfZt8TnjQYAkoE5lAEkGhX29swt8blgCnWxq7CnI2KUudK1FSEj6mCtsOcchGRTYU+3CgMV9mjuOJxr2Llzp+bNmxdzX15ennF748aNeuyxx2L+PnbsWI0bNy7mvo4dO+ree+/VL37xC4XDYd12222aOHGizjrrLPn9fq1evVrz5883Avbbb79dAwYMiDuuu+66S2vWrNHevXu1YMECbd26VVOmTFGXLl20c+dOvfzyy9q5c6ck6aSTTtJNN93UpP0AoPkx//7jKywAJ9ESHwDcYw7szdV7ANBUdhdnTvgf3m9yd8QuMyUJ6mJ3UV1liEBNosIeDWcO7IvLuGpKsl5MxvtLNUuFPXPYo5nhcK5h9+7deuqpp+L+PS8vLybAl6LV8ebAXpImT56skpISPfTQQyorK9OCBQu0YMGCmHUCgYBuueUW3XLLLbWOq2vXrvrb3/6m22+/XTt27FBeXp4efPBBy3qnn366Zs+ebVT3A2g5uGIbQCLZncSNUGEPAElBYA8g0ewq7FdsSv44vC7IWVTUgcA+vjJTYE+FPepiqbCnJb4km5b4XMdgMO8L874CvI6vCwl07bXX6swzz9QLL7ygDz74QHv27FEkElGXLl00duxYXX311Tr55JPrta2BAwdq/vz5mjdvnhYtWqQdO3bo6NGjys7O1pAhQ3TJJZfosssuk9/uVxaAlMcc9gASye49hQp7AEgOWuIDSLQ2mdELNPl+V7v21MegDnYX1VVUSpmtkj8Wr6HCHg1lDuxLy8k9JFri14aW+GjuOJxrGDNmjKWCvqn69u2rX/ziF/rFL37R5G21atVK06ZN07Rp0xwYGYBUYgns3RkGgBRlO4c985oCQFJQYQ8g0dpkSBeNlRZ+4vZIvKtHJ2n0ULdHAa+zu6iOlsxR5sCeCnvUxTqHPV+CJSrsa0NLfDR3BPYAkAIsc9iT2ANwEO8pAOAeS2DPSTkACXDPdVJOr13adTAgvz+gLp27uD0kz2jXRjrr1GgnAqA28VriQyozVboS2KMuBPb2zCE03SqqWSrsCezRzBDYA0AKsMxhT7gGwEH2LfF5owGAZDCflKMlPoBECAakU/qWaGivSgWDQQ0aRGAPNJTdRXVUeEZZWuKn268HVGllbolfQWAv2VTYk/AZqLBHc8e7HACkAFriA0gk25b4zHEKAEkRosIeAIBmwbYlPhX2kmwq7AkZUQfrHPac7ZSYw742BPZo7lw5nFeuXKmFCxcqNzdX33zzjYqKihQyn4WIw+fzaePGjQkeIQA0L5bAnu+wABxkF9hHwrzRAEAymFvpBrnsHgAAT2IOe3uRiM0c9lTYow7WwJ4vwRIV9rUxX9jM+y+am6QezgUFBfrf//1fLV++3LgvYunjDABoKgJ7AE7y2fwupsIeAJKDOewBAGgeAja/m5jDProPwuHY+5jDHnUhsLcKh63dtwjsq5n3BXPYo7lJ2uFcWVmpH/zgB9q0aRMhPQA4jHdVAIlkW2HPGw8AJAUV9gAANA9+f/S3U82Lm6nwlMrKrfelE9ijDpbAnjnsbd9P0riY10BLfDR3SQvsX3zxRW3cuFG+/5R9XnDBBbriiit08sknKysrS8EglwIBQGPREh9AItm9pRDYA0ByUGEPAEDzEQzEVnUSGFnb4UtUBaNu5sD+8y1t1flSd8biFXbnYTiWqpkDeyrs0dwk7XB+6623jNt33323rrvuumQ9NQCkPIIzAIlk3xKfK4MAIBnMgT0n5QAA8C4Ce6uyCut9tMRHXcyBfSjs0+Fj7ozFy7iYtxoV9mjuktZHZOvWrfL5fOrXrx9hPQA4jAp7AIlk1xKfOewBIDnMJ5rs5scFAADeYA7PCIyosEfjdM12ewTelx6U2rd2exTeQWCP5i5pP/VLSkokSaeddlqynhIAWgxzbkZgD8BJdu8pESrsASApLC3xCewBAPAsS0tmm+rylsYusE8nsEcdRg6Vzhjs9ii87erzpHS6VRgI7NHcJe2jsUuXLvrmm2/k93N2AQCcZqmwd2cYAFIUFfYA4B5zYG8+EQUAALyDOZStzC3xgwGJiAB1SU+TnvyJtPTTr3S0KKJAIKBevXq7PSzP6NlZ6naC26PwFktgH7JfD/CqpAX2OTk52rVrl3bs2JGspwSAFoOW+AASyb7CPvnjAICWiMAeAIDmw/w5bf4cb4nMFfa0w0d9+f3SiZ3LVZldqWAwqEGD3B4RvIwKezR3Sft4vOqqq/Tmm28qNzdX+fn56tu3b7KeGgBSHoE9gEQisAcA91ha4hPYAwDgWeapa6iwl8oI7AEkgfm9Zfs30pw33BmLFwUr2ujUEwvcHgZqkbSPx7Fjx2rq1Kl6+eWX9b//+7965plnlJmZmaynBwAAQBP4fbFt8MPMYQ8AScEc9gAANB+WCk/msLdW2HPxIYAEMF/YnLtdumWWO2PxpgG6YcIe3XH5AbcHgji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" ] }, "metadata": { "image/png": { - "height": 411, - "width": 1009 + "height": 413, + "width": 1014 } }, "output_type": "display_data" @@ -7129,16 +6604,6 @@ "execution_count": null, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\git\\pypsdm\\pypsdm\\plots\\common\\utils.py:115: FutureWarning:\n", - "\n", - "'S' is deprecated and will be removed in a future version, please use 's' instead.\n", - "\n" - ] - }, { "data": { "text/plain": [ @@ -7146,21 +6611,21 @@ " )" ] }, - "execution_count": 19, + "execution_count": null, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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kSevWrTPW9wNQPVT2eeV6cXd31yeffGIKEhTw9/fXAw88IElKSUnRgQMHbvT0AJTC3t5eI0eOlCTt3LlT58+fNx0PDg6WJDVv3lx9+vQp05j/+c9/jMoq3t7e+utf/1rkMieBgYEaO3aspPwv8r/66qsSx3V0dNTcuXOLvEZq27atxo0bJ0nKyclhvXMAhfz000/G0gYvvPBCkUECSapVq5ZmzZql5s2bS5IWL158w+YIoHS2lQOuXic8Oztbe/fulWSuYuDn5ycpv3z4iRMnTH327NljfJ/SrVs3I/wcHR2tdevWScq/uffCCy8UChJI+ddSr7/+unr06CFJ+vrrr5WdnW1qs2zZMl25ckVS/ue8q4MEklS3bl3NmTNHrq6upbwDAKoDf39/vf7666YgQYGnn37a+MwTGhqq3NzcGz09ALcIb2/vEv8MGzas2L7jxo0jSHCTIUwAVHPOzs4KCgrSpEmTCq2pGRsbq40bN+rDDz9UYGCg7r//fgUFBVXKzf+ePXtKyv8CPiYmpsLjAbh5VNV5pbyGDRumBg0aFHv8zjvvNLaPHTt2I6YEoJxGjhwpOzs75eXlaeXKlcb+8+fPa+fOnaY2ZbF582Zje9KkSUV+8V5g8uTJxri2/Ypyzz33FLnOcYG77rrL2OZ8A+BqBee3WrVqFbnOuq1atWoZwe2TJ0+yjihwEykpTLBv3z5dvnxZkjlM0L17dyPYeHUf28e2fWyvicqyZvnw4cMlSenp6dq3b5/pWME1jr29vSZMmFDsGE2aNOFLfaCGeOKJJ4r9fOXg4GCc665cuaIzZ87cyKkBqCFK+0yEG49lDoAawNnZWa+//rqeeeYZbdmyRaGhodq7d69iY2NN7eLi4vT3v/9d69at02effVbsTTir1aqff/5ZGzZs0KFDhxQfH6/MzMxi06jx8fHq0qVLpb8uAFWnss8r10O3bt1KPN60aVNj++LFi9d5NgCuRUHVgV27dikkJERPP/20JCkkJEQWi0V2dnYaMWJEmcez/QLd9gZ/cc/dpk0bnThxQmfPnlVCQoKaNGlSZNvSzje2FQvS0tLKPF8ANUNERISk/DLpv/76a6ntbc8jx48fV7Nmza7b3ACUnb+/v+zs7GS1WhUZGSmLxWL8srcgGFCnTh3T9yOurq7q3Lmz9u3bp/DwcP3hD38wjtkufWBbhangnOHs7KwTJ04UqmhwNdvqTsePHzeqISQlJSkuLk6S1KZNm1KrUPbt21fffvttiW0A3PpsK1EWhe9SAJTF/PnzSzxet27dIvc3adJELVu2vB5TQgUQJgBqkPr162vUqFEaNWqUpPwvoQ4ePKiwsDCtWbPG+FXLvn379Nprr2nRokWFxkhMTNRLL72kPXv2lPl5MzIyKucFALjpVMZ55XopLbhQUCZUklHaE8DNZ9SoUdq1a5dOnz6t3bt3q1evXlqxYoWk/C/WC8p9l0ViYqKk/C/uGzduXGr71q1bG1/QJyYmFhsmKM/55urywgBqtqysLKWkpEiSzp49q+eff75c/QkoATcPDw8PtW/fXkePHlVaWpqOHDmizp07S/pvMKBHjx6Flljy8/MzwgQFsrKydPDgQUmSi4uLfHx8jGMFAYArV65U6JyRkJBgbHt5eZXat1WrVuV6LgC3Jr5LAVAZBg4ceE39bANLuHmwzAFQg9WvX1933XWXXn31VW3atMmUgN+xY4ciIyNN7XNzc/Xkk08aQYL69etr+PDhmjZtmj744AN98sknmj9/vubPn6/x48cb/SwWy415QQCqXHnPK9dTUev7Abj1DBo0SPXq1ZMkBQcHKzw8XL/99pskGUGmssrMzJSU/6vAsrBtV9C3KJxvAFyr9PT0CvWviqWkABTPdqmDgnBAdna2UR3JdrmCAgX7kpKSdPz4cUnSnj17jH/fPXr0MN28q8h5w/acYXttc/XydUUpSxsAtz4+2wCoSi4uLlU9BRSBygQAJElOTk6aMWOGwsPDjQ+voaGh6tmzp9Fm/fr1io6OlpRf3m7evHnFlqOxLaMHoGYqy3mlvPLy8ipregBuEc7Ozho6dKi+/fZbbdiwwah4VK9ePQ0aNKhcY7m6uurixYvKysoqU3vbdq6uruV6LgAoUFK42ja01LlzZ4WEhNyIKQG4Tvz9/bV06VJJ+UsbTJw4Ufv27dPly5eN41fr2bOnHBwclJeXp7CwMLVr185UpcA2oCDlnzcuXrwod3d3Y/mEa2F7bXPp0qVS25elDQCUBz9AA4BbAzEzAAZHR0fTB9uCUsAFdu7caWy/+eabxQYJJBVaNx1AzVTaeUXKDx1IZftlXUEZYAA1S0EFgqysLG3atEmSNHToUDk7O5drnIKlDTIzM3XhwoVS258+fdrYLm6JAwA1k+2vhEu7hinp+sXNzc0IFMTHx1fO5ABUGT8/P9nZ2UmSdu/ebQQEpPwQQNeuXQv1qVu3ru644w5JMtqWFCYoKP978eLFEisnlcb22ubMmTOlti+oDAUAJamsayQAwM2DMAEAE9u1+64uAWz7pXtpa+X98ssvpT5XwQdsq9VanikCuMWUdF6R8pdGkEqvaJKSkmK6sQeg5ujatau8vb1N+0aOHFnucXx9fY3tHTt2lNj27NmzOnnypCSpWbNmRhABACQZy69IpV/DFCwTVxzbEucFa6QDuDU1aNDAuGZJT0/X4cOHjWBA9+7dTZ+NbPn5+UnKDxFkZmYa54KiAggFbS0WS6nXMyVp2LChmjdvLkk6efJkqeeyXbt2XfNzAag5KvMaCQBwcyBMAFRzZfnVXYGcnBz9/PPPxuMOHTqYjtuuj1dSIn39+vU6duxYqc9XcFOxrKWGAdwcKvO8Iknt2rWTlH/jrqSwQFBQECXwgBps4sSJ8vX1la+vrwYNGiQfH59yj2G7LMKXX35Z4tIpCxcuNAKP5V1OAUD11759e2M7NDS02HbJyclavXp1iWMNHz7c2P7Xv/5F2Bq4xdlWEvjll1+0b98+SUUvcVCgICCQkpKi7777zvg1b8+ePQsFEGzPGfPnz9eVK1euea4BAQGS8oMJX331VbHtLly4oDVr1lzz8wCoOSrzGgkAcHMgTABUc6NGjdL06dMVFRVVYrvMzEy98cYbxo08Nzc33XfffaY2tmn4OXPmFPkF/K+//qq33367THNr0aKFJOnUqVPG+oEAbn6VeV6RpP79+xvbs2bNKvLcsmHDBi1cuLBiEwdwSxsxYoSWL1+u5cuXa+7cudc0xoABA4xQU3R0tGbOnKnc3NxC7UJCQvTvf/9bUn6Y8vHHH7/2iQOolnx8fOTu7i4p/zqlqOui9PR0vfzyy0pLSytxrMGDBxuVU3755RdNmzatxNLleXl5+vnnn7VgwYJrfwEArhvb0MCyZcuM7ztKChP06tXLqN74xRdfGPuvXuJAyj//DB48WJIUExOj5557TsnJycWObbVaFRkZqdmzZxc69sc//tFYNmrJkiXavHlzoTYZGRmaMmWKMjIyin0OAChQmddIAICbQ9G1tQBUG7m5uVqxYoVWrFih5s2by8/PTx07dpSHh4dq1aql1NRUHT58WJs3bzY+fNrZ2emtt94yLvwKjB49Wp999pkyMzP1008/adiwYRo2bJiaN2+utLQ07dixQ1u3bpW9vb0eeeSRUtOld955p2JiYpSVlaVnnnlGw4cPV4MGDYwP0N7e3vL09Lwu7wuAa1eZ5xUpP5ywcOFCpaSkaNu2bRo7dqyGDx+uhg0bKikpSdu2bdOOHTvUtm1bOTs76/Dhwzf4FQOoLuzt7fXhhx/qscceU1ZWlpYvX669e/fqkUceMa5ntm7dalquacaMGUYJYAAoUKtWLT3++OP65JNPlJubqwkTJigwMFDdunWT1WrVkSNHtGLFCiUnJ+vhhx8u8Re9dnZ2mjt3rsaOHatz585p9erV2r59uwYPHqzOnTurfv36unLlihISEhQdHa3Q0FAlJyerb9++eu65527gqwZQFn5+frK3t5fFYlFSUpKk/HDi1csV2HJ3d1eHDh0UExNj9JGKDhNI0vvvv6/Tp08rOjpaO3bs0H333adBgwbJ19dXHh4eys3NVVJSkmJiYhQaGqr4+Hh5eXnp9ddfN43TsmVLvfrqq/rHP/6h3NxcvfDCCxo0aJD69+8vV1dXnThxQsHBwTp37pwGDRqkTZs2VcI7BKA6q8xrJADAzYEwAVDN3XHHHdq5c6esVqvi4uIUFxenlStXFtu+cePGeuutt4yUu62GDRtqzpw5evnll3Xp0iUdO3ZMH330kalN7dq1NXPmTFksllLDBBMnTtSaNWt04cIF7dq1q9D6e//4xz+uaT1kANdXZZ5XpPwvzubMmaPnnntOWVlZOnDggA4cOGBq06FDBy1YsEBvvvlmZb4UADXQHXfcoaCgIL344ouKj4/X0aNHC13PSPnXNDNmzFBgYGAVzBLArWDy5Mk6cOCAtm3bpsuXL2vp0qVaunSpcdzBwUF//vOf5evrW+oX5Z6engoODtb06dP1888/Ky0tTd99912JfZo2bVoprwNA5apfv746duyoQ4cOGfu6d+8uJyenEvv5+/srJibGeFy3bl117ty5yLZ169bVN998o7/+9a9avXq1Ll26pFWrVmnVqlXFjl/cOWPChAm6ePGiFixYIKvVqk2bNhUKDQwePFhTpkwhTACgTCrzGgkAUPUIEwDV3KJFi3T+/Hnt3LlTe/bs0bFjxxQbG6uLFy/KYrGoTp068vT0lLe3t/r376+AgADVqVOn2PEGDBigVatWadGiRdq5c6fOnz8vFxcXeXp6ql+/fnr00UfVunVrhYSElDo3T09PhYSE6Msvv1RoaKhiY2OVlZXFGqHATa6yzyuS1LdvX61evVoLFy5UaGiocW5p3bq1hg4dqscee8wovwkAFeXj46ONGzfq+++/19atW3Xs2DGlpaWpTp06atGihfr166c//OEPVEgCUCInJyctWLBAK1eu1IoVK4y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" ] }, "metadata": { "image/png": { - "height": 411, - "width": 1026 + "height": 413, + "width": 1033 } }, "output_type": "display_data" @@ -7184,27 +6649,17 @@ "execution_count": null, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\git\\pypsdm\\pypsdm\\plots\\common\\utils.py:115: FutureWarning:\n", - "\n", - "'S' is deprecated and will be removed in a future version, please use 's' instead.\n", - "\n" - ] - }, { "data": { - "image/png": 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Evd3mzZtl8uTJ4epPgwYN0q4PGDBAtt56a+36W2+9JTU1NXGnf/nll8X/v2TuYYcdZvnjAAAAAOBSHMAAAGQS1UUAwP4H1llXA0DG9tOkfBVMJSgAWcYnDjFq1Cj59NNPZd26dfLggw/KlVde2eY0jY2NctVVV0ltba0WgjrggANSsmwXX3yxXHPNNVpI669//as899xz0qNHj6jluPrqq6WyslL7fcyYMVHTn3XWWXLTTTdpQalrr71W7rvvPsnLywv/f+bMmfLYY49p13v27CkHH3xwSh4HAAAAgCxAOzwAgBlUggIAB7ZYYj0NAHajjienNQWlC0E1fTVdakueNDy5t3s3yT9klHgKC1OwcACQxSGoY489Vp588klZtmyZPPXUU7Jp0ya58MILpXfv3jG3VRWTvvjiC3nggQdk/vz5WgCqW7du2jxStWwff/yxfPDBB7J06VI5+uij5YQTTpDttttOq0T1+uuvy5IlS8Lt79T/Ih1//PHyxhtvaFWk1DzU7+o27du3l++++077X1NTk/Y4br311qiAFAAAAAC0igMYAAAAQHawqhIU2xAAkDppDkF5dCGohrff0S6JyN1vb+nwybvasWoAsDvHhKB8Pp8Wavrzn/+sVXYaP368dikqKopqGff2229rQaT6+vpwmjY3N1fuvfde7Weq3H///XLjjTfKhAkTpKqqSp555pmY2+y1115aFSv9F4TX65X//Oc/cu6558rPP/+sBbfuuOOOqNuoZb/llltkn332SdljAOwisHmzNIyfKP41axOe1pOXJ3kH7ie5u+yUkmUDAABwPHZYAQDSWQkq3m04uA4AaaoE5c3UkgAAWpLuSlB5yR8fb/r0C/EvXCS+bQZaskgAkEqOCUEpgwcPlmeffVYuv/xyWbVqlfa3mpqacKho5cqVMWUE27VrpwWghg0bltJlUyGlf/zjHzJ69GitctO3336rVYFS1ZwGDhwoJ510khx00EFa4Cme8vJy+e9//6tVjXrnnXdk8eLFWtirc+fOsttuu2kt8wYNGpTSxwDYQdDvl837Hy7NP/xofiY5OdL+/QmSf+D+Vi4aAABAduFscAAAACA7Dqwz9gcA14ag8vbZUxrenJD0fIIVlZYsDwCkmqNCUMrQoUNl4sSJ8uqrr8qbb76pVX2K6Z0qIp06ddLa1I0ZM0a7ni677767djFb7eq0007TLkC2av7x5+QCUIrfLw2vjSMEBQAAoHAAAwBgt0pQAICUCOra4RluW8S6GgAy17o0xVX7Ci+5QIK1ddL4wccSbGoyPF3Tl9PYpwTAkRwXglJKSkrkvPPO0y7r16+XRYsWSWVlpfj9fikrK5PevXtL3759M72YAEwIVlVZMp+ARfMBAABwG8MHQgAASBUOpgBAauhXr2YPrLOeBoDU0a9iU7yfxuP1SvE1V2iXRKwr6SrBmpo//sB3AwCHcEwISlV7irezXrWLUxcALqEfROXmSv7hh7Q5WfO8+eJfsLDl+QAAAGSpeJVzDSEsBQBoA8FaALB5dREqQQGAZHs7PNN0y2V6/xIApJljQlAjR46UfffdV/bbbz/Ze++9tWpQAFxIN4jylJVK+wmvtTlZ9S13SM3td7c4HwAAAPyPTfetAQBsznSo1sJ5AQBap1+/mq4EZcnSAACcHILSYwwPwCEcE4KqqKiQiRMnahefzyfDhg2T/fffX7uo9ncAsnzwp78dgzEAAAAAAAAA2cRkJaiYyn7sWwWA1HFKCIrvBgAO5ZgQVKdOnWTDhg3a9aamJpk+fbp2ueuuu6R///5ahSgViNpll10oxQ04mVUhKP0GPwAAQLYyOb7iQAgAoM3vAQPfKeynA4A0csqBdQDIYkGzrUvTjf1CABzKMSGoL7/8UubNmyeff/65fPHFFzJ79mxpbm7W/rd48WLt8vTTT0u7du20tnkqELXXXnvRNg9wejs8o4M/fWlnBmMAAAAAANgT2+wAYK92eLp9sEHW0wCQvuNgZluXpppdw1kA4JYQlDJ48GDtcsEFF0h1dbV89dVXWiBKXdauXRu3bd7w4cPDbfN69eqV6YcAoA0xG9i0wwMAAEgO4yIAgAXiHhDnwAgA2ItTqosAQDZzStU+jrsBcChHhaAiqQpPhxxyiHZR5s+fr4WhVKWo7777TqsSpdrmTZs2TbvceeedMmDAAJk0aVKmFx1Aa/RjKNMhKMuWCAAAwF0Mj690v7KzCwBg1fcO3ykAkJbAquHqIhzoBoD0cUoISo/vBgAO4dgQlN6gQYO0y7nnnqtViVLt85566in56aefwrdZtGhRRpcRQOoGfzFt8xiMAQAAAABgHSpBAYB7K0GxPgcAU2qffFYaXntTgrV1hqdpnjffGetgjrsBcCjXhKCUX375Rb755hvtMnPmTNmyZUs4GEEPayA5/l9/E//SZYlPmJMjvp2Gire0NK0b6nzmAQAAHH6GIQDAHfjeAQDnjf3ZtwoAbWqY8qFUnX+pe8fLhKAAOJTP6aGnGTNmaIGnUOgpXgAiLy9PdtppJ9l9990ztKSAs1VddYPU/vNB09N7ioul/YcTJW/kbqnbUNffTh+mAgAAQGLY2QUASFElKE5cAoAU0a9fvVSCAoBUafpqmiXz8XZoL7bEVwMAh3JUCGru3LnhSk/ffvtti6Enn88nO+ywgxZ6UpdddtlFC0IBSFxgyxap/dfDSc0jWFOjzcNUCMpo33r97dihCgAA8DvGRQAAAEB2MFtlX49tCABoU7DZn/Q8crbdRnL321tsiZPjADiUY0JQI0aMkKqqqrihJ6/XK9ttt53stttuWuhp2LBhUlRUlKElBdwlsGGjiD/5gVxgzVpjN7SqEhSDMQAAgPg4yxsAkM7vlHi3YZMdAFLD7Amm7FsFgMTp1pW5uw2XgnPPNDy5t7yD5B24n3hLS8WW+G4A4FCOCUGpqk8ej0cLP6mfAwcOlMMOO0yGDh0qO+64o5Ta9QsCcLo4gxpPx/K2d3TW1WsVoFqbj6H7IwQFAACQHLPjopjxlSVLAwBwKrazASB7KkEBABIeH+cM7C9F544R12J7AIBDOCYEpYQCUMqiRYtk3LhxsmLFCtm0aZNWBapr166ZXkQgK3ResUA8BQWt3qb2P09L1YWX/fGHACEoAAAAW+BACAAg05WgAACpwb5VALD/OtchtOIkEb9HdmkCADtzTAjq4YcflmnTpmmXJUuWaH9buXKlvPXWW9pF6dOnjxaGCl06deqU4aUGXMCyygHmQlCh4GPK7g8ADPCvXiOBDRsSnk4FRnMG9De+LgMAAADsysrtbLbZASA19PtWzbbDAwAkzm3rUiqEA3Aox4SgRo0apV2UdevWaWGo6dOna5fVq1drf1+6dKksW7ZM3njjDe33fv36hQNRI0aMkPLy8ow+BiCrBnL6DWyDOzhjkuRmQ1D60s8AYEIwEJAtZ54v9S+9ZnoeOdsPlg4fvyM5VKwEkC2hdgAAAAAZEdRX4zd7QJ6xPwBItleCct3jAZA1HBOCitSlSxc55phjtEso/BSqEjVjxgypqKjQ/q4qRv3666/y2mu/H7gcOHCgTJw4MaPLDjiOyQ1efdUTFSQwdX9UggKQQc3f/5BUAErx/zxP6p99SYqvvdKy5QKApLATCwBgRrztbLPt8NhmB4DU0K9fqQQFAKmTbSEoxvAAHMKRISi9rbbaSrucfPLJ2u8LFiyQmTNnaoGojz/+WPx+v/b3hQsXZnhJAZdIYSUos4NGj5fBGADr+VestGY+y1dYMh8AMIVxEQAAgKWCTU1Sfc1N0vDu+xJsaEx4+pyuXaTouiul4JgjU7J8yGL6E1GpBAUAqeP2dSUhKAAO5YoQVKTFixfLN998o1WFUj8DgYBWkSamxRYAe7ZPsagSFJ95ABk9210/HeskAHZittKmsC4DgKxmZSUowOHqHntSav/1sOnpA78tlcrj/yx5axaLt2NHS5cNWY4q+wCQPm6vBKXHdwMAh3B8CGr9+vXy9ddfaxcVfFK/60MQKgS13XbbyX777ZfBJQWyfCcn7fAAOJFuXZIzcIB0WjC7zcm2jL1C6h55osX5AAAAAFmN8TEcrunbtrcL29TcLM1zfpK8/fe1YpGA5NrhAQAS5/YQFMfdADiU40JQNTU1WoWnUOhJVX6KV/mlqKhI9thjD9l333218FPnzp0ztMSAC6W1HZ7JZWIwBsBO1fCMBkEBIBXcvlMOAGDvk6QAN/L7LZlNsNma+cCdAhUVUv/GWxJYucrwNE1fTov+AyeYAkDquH1/C98NABzKMSGohx56SAs+/fjjj+KP2MiMDD716dMnHHoaMWKE5ObmZmhpARdJdwDAqkpQBA4AWMHsOslsEBQA7ISdXQAAK8QbQ/OdAocL6kJQ+SceJ4Wnn9LmdJVnXSjBDRstD1PBfdRxj80HHS3Ns75LbkYGK0G57bg9AKRD5DHqUGciV3Hb4wGQNRwTgnrkkUe0L4/ILxSfzye77rqrFnpS4aett946o8sIZA0z7fBMV4LibCUANmJ4lRR9w2CAdRKADGJcBABIFY6LIFvpTr7zDRoo+Uce1uZknuJiQlAwxL9wUfIBKPWeyzN5ojjbEACQOLeNjTnuBsChHBOCUlQAqmPHjrLPPvtooae99tpLSkpKMr1YgLuZHdR4TQ6O9BWcTFddMTYZALSKSlAA3Igz+QAAmawUDbiBfv+V0Wo7OTmtVpQCQoJV1ZbMJ+/gA43dkHU1ACTO7e3w9NjHDcAhHBOCuvjii7WKT0OGDHFfOUHAaQx8BmOroKS5HR6DMQBWoEUngGwWM74SV1EHHWvu+qc0fjRVpKk54em9PbpJ8TVXSO6wXVKyfADgBKb30bHNjiwNQYkuBEUlKCTyHss/7mjDk3tycyXvwP2k4OwzzN0/62kAaJvbQ1AcdwPgUI4JQf3lL3/J9CIA2cl0JShzVVBieigb3YnEYAyAnc92Z50EIJNi9sm5bKecSbUPPio1N/0tqXk0fvyZdF69SDz5+ZYtFwDYFmNa4A/+QOvhppbk6PZzEYKCwRCUp7BQ2r/xUuruT39CK+t8ABbxr14jDeMmSGDjpoSnVeu+vMMOktwhO4gtuX1dyT5uAA7lmBCU3m+//SZvvfWWzJw5U5YvXy6VlZXazvzS0lLp3bu37LTTTnLEEUfIDjvY9IsRcIp4gxojB87MVkHR3x2VoABkEu3wAMC1mr78Oul5BDdvluZ58yV3p6GWLBMAOI6Z/QMK42M4nL7iueGT+KgEBYNiQkicyADAgQLV1bJp5AESWLrM/ExuvkPKv/zQnlWYXb6u5iQ6AE7luBBUQ0OD/O1vf9MCUIGIjc3QRkFjY6Ns3LhRZs+eLc8995wce+yxcvPNN0thYWEGlxrIQmZDSSYHjabb7wFAa2iHB8AFTJ/F7fKQebDZooOOzYm30gMAR3LZ94DTv9v98xdIYN36hKdV1Qt9Ow2limGG2uF5dCGooL6iFJBsy0WzXD72B5AZTV/PSC4ApTQ0SP34iYSgMoEqgQAcylEhqNraWjn99NNl7ty5La5o9X+fMGGC/Pzzz/L6668ThALMiPNZM5T+jqmCYvL+qATlSMGmJnNnM+blGT97ErDz2S9UggJgZ27bKWeWbt2cP/ooyTvs4DYnq7r4/wg+AUAiqARlKbXvs/KEP0vDuLdNz8Pbs4eUf/GB5PTra+myZRWzARUqQcGuISgASIFgdbWt5mO5LAtBMYYH4BSOCkHdcMMNWqBJ8fl8cvjhh8thhx0mgwcPlvbt24vf75fNmzfLL7/8IlOmTNEuzc3NsnDhQrntttvk7rvvzvRDALKH6XZ4tJ5yskBFhVSedKY0fjTVVOUbT/v2UnzztVL8f2NTsnxA2srPUwkKgJ0wLjL0vOSOGCZF553V5mRVf7kqOgTF8wsgS8Q9IdFtB3ocoPnHn5MKQCmBlauk9snnpPTOWy1brqxDCAqpRiUoAG6gW5d4Skok79BRbU7W/O1s8f/6W4vzsQ23h6D07Po6AIBTQ1Cqvd17772nVWDo0KGDPP744zJ06NCY2xUXF0uvXr1k1KhRcsYZZ8hFF12ktcd7++235ZRTTpEdd9wxI8sPOJXp8pZmQ0lUgnK02gcflcYPPjY9fbCiQqqvuFYKTvqT5PTobumyAaaY7SDlpVQwABtjfPU7xp0AXKJhyofSNGOmqeB9ztb9pODE48RD9XTHCKxZa818Vq+xZD5ZSx9e0oebjLbDo7okDI9VU3x/bj9wD8AW6zJvrx7S/o2X2pxsy0WXSd3jT7c4H9ty27o0A/s/mmZ9J00zvzW3bdN/a8k76ICY8RaA7OOYENT48ePD1//973/HDUDpqds8+OCDWgs9Zdy4cYSggGSl+uAQB6Mczb9gkTXzWbiIEBTsgUpQAOBeVp2xybgTQAbVPvy4VF3616Tm0fD2O9J+/Ktt3zDe6s7AujNuS2nWnZZ+f3nKO7Q9WU2tSH39H3+gAlFydNt4+hNhWkQlKDilHR7raQCZXJc4Zd+q2ytBpfm4W92zL8qWsy9Kah6F542RsicetmyZADiTY0JQM2fO1Haa7LbbbjJs2DDD06nb7r777jJt2jSZNWtWSpcRcCXTY1RdFZRUt8MjBGULhl/nNmfE6webcMg6SX32qq+/Veqff1mCVdUJT+8pK5XCc8+U4ttujH+QCoCz8b2a2nU8AGRQ/StvJD2PhrcnS7CmRjzFxZYsE9JcUaFnD+m8fH6bk1Vdf6vU3vXPP/5ABSJr938Yboenux0hKBh8j3nS3Q4PADK5rjHbaSTdsi0ElWJ1Tz6X/Dyef0VKH7pPPPn5liwTAGdyTAhq3bp12s+dd9454WnVNCoEtWrVqhQsGZBlUj1IpeqKs+me98JLzpei/xvb5mSbdttPghs3tTgfwDZsuqHeOOVDqf3H/aanVwe9av72D8nbfx/J239fS5cNgA2ZDvvYdKejWSbHnSosGjklLU8BZJIaxyUtEJBgXZ25EJSRdSeVoGzBowvfBAnfJMd0CIpKUDBIv5pM94F11tMAsugEU9NsuliWidktlNoHHNgUcYzIrMZGCdbXE4ICspxjQlDN/zs7KS8vL+FpfT7HPEzAftJdrtTtg2K3073O3k4dxdd/6zYn8+Tmmj6Y2PTt99L05dcS9JvoEd2nl+QfeZh4CgoSnhZZwiHBzOaf5lo2H0JQgAsxLoqPdngA3EC3DvKNGCY5W/VufZqGRmmYODnx8SrrO2d/fxG+sZb+M6N/flvg0d3OzL4MZIl0t8Nj3yoAOx9fsuk6SX8cw3UV9tP9OujGRTnbbSvezp1an6ahUZqmfxP9N06yB7KeY9JBHTt2lNWrV8vChQsTnnbRokXaz/Ly8hQsGeBy6Q4lmR00ep0xKHY9sztoYgIjxl6/+vFvS+Xxf07q9c474lDp8M6bpqeHy5ldB6a7ZDOtKAEkwm075cyiHR4AF67Lii6/WApPObHVSQIbN8r6TltFz8bgNlgM1onO+f7SnyRKCCo5+vASlaDg9BAUAKSD6RNMbbrP0u3t8PRSHoKKHheV3HmrFBxzZGwyy54AALJBSURBVOuTrFkrG7r3j/4jISgg6zkmBDVkyBCtnd3UqVO11nhdunQxNN3atWu1aVSQQs0DQJJSHAAIJtGWxMz9wSY7aPS3MzhIrX/+laRf68bJU8S/dq3kdO2a1HzgUpZVwwumdTlz9xwppffd2eZkW8ZeKc2zvmtxPgCym+vHV1QgBZCt4m2npbISVJz1K61E048KRBbTfWY8JkNQjR9N1dq2GOXt0V3yRx8l3rIyw9PAofTrybRXgkrt3QF2plpp1T33kvjnLzT1WfLtspMUnHqi8e8GNzN50rv+ubPt2NHtIag07/8I6sdXRiptxnvK7fp+AZA2jglBHX744fL+++9LfX29XH755fLkk09KcXFxq9PU1NTIZZddJnV1ddoX68EHHyyZsGXLFjniiCO08Nbo0aPl7rvvbvG26ov8nXfekXHjxsm8efOktrZWOnfuLMOHD5fTTjtNhg4dmtZlB5zaDs+2g2K30wU9DG/omRxMByorxQrBLVUihKDg5APkuvl7O5ZL7m7D25zM244d50BWcPtOObev4wHA6hYcZkNQ8fCd4tx2eM3N1i1TFtIfpDMcUNFV5Gqc8qF2SYTv0SelfPrvJ/3CxfTvsVS/3ryfgLDKsy6UhteS6xzgn79ASv52s2Q708dpnLLd7fb9LWlvh6erkGkgBBX3GBSVoICs55gQlAowDRo0SBYsWCDff/+9HHPMMTJ27Fg56KCDYsJQ1dXV8uGHH8ojjzwiK1eu1DYIBwwYoAWpMuHOO+/UAlBtUQEvFdr69NNPo/6uHoO6TJo0SQuAnX/++SlcWqANqW4FZXYD3ymDYpcLprkSlP52OYMHSU7vXq1PEwxK44efmLs/ZB+z1enSfLZS0LIAqYULBQB2FxMcyNiSAIB5ZsaBNqgExcDTBiEo2rAlx+T+D09BftJ33fzNLO3gum/bQUnPCy6sNmYV1tPIUkG/XxrGvZ30fOrfnEAIKh63H+9x246FdD8eEyGoeGMw062+AbiGY0JQKsh03333adWQVGUlFQq67rrr5Prrr5devXpJu3bttNtVVFRo/wsdDFQ/S0tL5YEHHsjI2TEq0PTWW28Zuu0NN9wQDkD1799fTjzxROnUqZP8/PPP8tprr2lVodRz0LVrVy0EBqSF6Z2cktFKUIRaHFaq23RoLvp2RZddLEUXnNP6IgYCsi6nzJkbUcg8u66TYtad4u4dCgASY9FBa4/LVhFWBUhZdwJwGkvPlnbbgR43IwRlLf1nxshBOhHJG7W/NLxhbF9xa4JV1UnPAy490dAs1ueAJlhbK9LUlPx8amotWR7HCzpk36pZLq8E5cl4JSgD331UggLg5BCUoqo5vfzyy3LJJZfI0qVLwzuuly9frl3i7czeaqut5N///rcWKko3Fda66aabDN32q6++0trgKbvvvrs88cQTkp//+5lBRx55pBx//PFy6qmnaiEvVVnqwAMPlJKSkpQuPxCX0SooZtvTxYRoOBjlKCYrecUMpk1WgjK0QyjeMjEohtUbsmaDfZne4GbdiSxW+9RzUnPzHRJYszbxiXNzJe+QUdLuhSfE27692J7LdsqZRggKgBtYVAkq5mC7kftCZphpgahu58uJqXSBJOifP4MBlcLzztL2QagK1cEm4y0JGydPid53wX4M98v0gXXW+chWdXUxfyo47SSRgoJWJwusWCmN73/0xx/4ns2O7W67LleKpLzbge5z4zESMqfqLACnh6BCQajJkyfLuHHjtNDQ7NmzpUmXys7NzZUhQ4bI6NGjtYpJeXl5GW2DV1ZWpgWiWvPMM89oP30+n9xxxx3hAFSICnGpQNWVV16pBaHeeOMNOeuss1K6/EBSgwWzAQDLAgfGJoPFLGqHZ2gHvMnS4HF3ELPzEKlu+ZHq95hVrUSBLBXYsEGqzr/U/Ge+sVEaJ70rtf96WEpuu9HqxUOqECAF4AbpbIdnFgcm7FHJkEpQ1orZH2H8JLCiC8/VLolYV9JVgjU1aTsICRvIdCUo3mPIUsG6+pi/lT72gHhLS1udruGjqdEhKPY3JyfdJ5g6NbCaajHfDSm+P7/uc+MzEGOgEhQAN4SgQkGhk046Sbs0NjbK2rVrZfPmzdr/VOCoR48eGQs+xWuDd/XVV8uNN7Z8MESFmr7++mvt+t577y29e/eOe7vDDz9cC1Zt3LhRpkyZQggKmWG6XGmKQ1BsqLsqBGX09TNdGlzdLmJadh6iJfr3hscplaCMfhZYdwKa5vkLLXn/N8/+UWyJ8VVqnxcAcBqzBwrifQ+wTnQOfQiqmRCUo1qV6efPwT33i3mPuW99G6yvl6YZMyVQ2foJ5PF4ioskb/cR4ikuTsmywT2CTU0SWL3G8O39S36N+ZunsLDN6fRhWCouZsn+iKwLQaW7HZ6BSlCEoAC4JQQVSYWdVGiopeBQJkS2wVNBrZEjR7Z6+1mzZkngfytk1QqvJV6vV4YPH64FoH744QeprKyUdu3aWbz0QIZbQbl9UOx2Js+ENF01x+xOR7MhPWQfq9ZJqd7wYt0JJMeiz2jjJ5/Jxp33MHx7T36+5B11mBRf91dD1QxhMdadANyASlDZx+T3l76dCAdnk5TpEBSfIfcze7KTSTEnfaX4PRaorpbNex0kzT+YP5EkZ+t+Uj7tY/F26WLpssE9GiZPkcpTz5ZgG51aWpWbKx4j1WhiKi4SwsiK7e5sC0GlmJl2eHH3pxGCArKeY0JQqtKTqgBV2kbJSTsItcHr3r27VgVKVXpqzcKFC8PXt9lmmzbbAYYqUyxYsEALRQGOaAVFCCormK/MlOYQlLpd5ICaQTGMsus6iZZOQHL0Vd/KyqTDlx+0OVnj+x9L9VU3/DGb6mppnj0nobtWZz7ndO8mhWefISnDZzs+1p2A4/hXrtICp6pyRKK8Hcsl76AD2mxlkhWsPFDgtgM9bv7+0h/AJQQVPthWff2t0jDhnYTWLYGVqxKvVJCMdJ9og8wz2/beIRqnfJhUACpUsad+3NtSdNF5li0X7CnY2Ch1jz8lTT/8lNB09c+8kPR9G6kCpaFiX3Z+72VbCMqOlaDiPOd0/gBg6xDUZ599Jq+++qpMmzZNa3unqMpH++yzj5x99tmy7bbbit1EtsG77bbbpKSkpM0Q1MqVK8PXe/bs2eptu3XrFjUdISikXaqroJhtPeWUQbHbpbkdXtrb7zU2Su19/5amWd+ZGvDnDOgvxVddJt7OnROeFg47y9rrkBCU2zbMAbP03ye5PskdskObkwWrqi25+6bp36Q2BOWUQGe6Bc0+L6lYGABtaf5lvmwaeaAE29jH0hrfDttJ+TefGT+Y5dJ1WdztbLPt8OAcMRUqCEEp9c+/LLX3/Cv5GVEJCik+0TDllWN13w2pPoDsX/7HMZFkBNZvsGQ+sLeqy6+Wuseeysh952y7jcEb8j2byn2rtg21EIKyFu3wbCHY3Kztq4wJ/bc1XXWNBDZuMld9Ly9PO2kpb+RuiU8LOCUE1dzcLNdcc428++67MV9uKlA0adIkmTx5sowdO1YuuugisWMbvGOPPVb23XdfQ9Nt2rQpfL1Dhw6t3rZ9+/bh622FqwBLmB3UpLkdnn4nrm0HxW5ntlS3Ze3wUhuaq77mJql94BFJRtM3s6T80ylJzQNpZFG4KKZKml3OEHV7wAFI8Wc9d7fhkjtyN2maNiO5u29sSmr6tu+Az3ZcVCB1tGBTkzR++In4f/0t8Ym9Xu2zm7vT0FQsGlKk/uXXkwpAKc0/zZXGL6dJ/kEHiGsk08I+YgwZNNsi3Mj90Q7PHq95TvT2uX/xr1JxzEnG77ewQAqOO1oKTvyTuEnTd7MtmY+3S4pPdtK/zBzccz/9ejnNIShTLYyajG/XBCOOiWh3X1ws3q5tt7Xzr1krUlv7xx/4LGSFhncysy/Vu1UfKX3wHkO3jWnbxXszK7e73ZaBipH2EJSB7z5CUJarPOkMaRg/Me33W3PbXdL+vbck/+AD037fcB9bhqBuvfVWLeTUEhVu8Pv98u9//1uKiorkzDPPFDu1wevcubNcf/31hqerjyi1nJ+f3+pt8/Ly4k4HpE2KKzPFjKES2YEbOZ/KLVL70GNiWH6+5B24n/j6b218GlhWmUl/NpvRwIjps+JMlidu+PATSVbTZ19qJfY9BQVJzwsuDIJatj/B3TsUAMvpK1Ea/f7KyZEOn0yWxs+/SugM5Ib/jpeGiRHbOwkcLLCE6/fKGZRlO2PdZstZF2qhmGS0e/VZKTj5BMuWCcYF1q2TxqmfS7Am4iBmGxo//cKa+95AxYh4ISgqQTmI2ZPHdAdng1VV0eMRAxpeH6e1Dc4/9CBxDQsOkqn9SbnDd5WUohJU9sl0dRGjVdODQam+4Tape+hxrT24WfnHHyvtnvtPm7erUAdm/zs+4eWEswUjg28m5R93tJQZeI9F8pSUGN/Hpt+/TSWo5DhkuzvmZHy37W9J4+ugPZf6/XNmK0HZ9P3iBP5lyzMSgNIEAtLwBiEouDQEtWDBAhk3bpw2sFArvGHDhsmpp54q/fv3l5ycHPnll1/kpZdektmzZ2v//9e//qVVXVJt8uzSBk+FuBJZHlX5Kl7IKZ7I/0dOl26LFi0Sb6rPPkGrmv53sEz9nDNnTsrux7dgoXTUhU6M3J9v0eKo6QJ+v6HpilaulNKI36uqq2W5genyfvtNIuuoBTdvlqq/XCWJCBbky6ZnH5Pm7ezXatMpOlRXS+RabOWqVVJn4PUrb2iQ3Ijfly9dJvUGputYVxf1RbZ0+QppMDCdOj8zcg22cMFCaS7Ia/v+qqos+eL86bvvJVhSbMGckOp1Z+GKFVIW8XtNba2sMDLdqtXR01VVGZrOrJK1ayXyHbW5slKWGri/9lu2SGT8evWqVVKbwuUE7Cpv0eKocUSTwXFLWLfOv18MKv68i5RE/F6xYYOhz6xZZZs3S2Tjp/Xr1smvBu6vZMOGqHVLIJDg82JzHWp045aVKw2NWzo3N0eNIxYvXiJNncpTsoyIz1NTI51ffSPpzoTrHnxUKrYbZNFSwSjvqtVSftq5krNpc1Lz8ffoJv7Ondq8nW/BYvHW1YV/X77kV0PbGk7YXlc6NtRHbxMtXWZom6iLxxP1GVo4f740e9t+7fTfdj/99LNIURvtBZubpavuT/N/+UX89X+8LjAu/7el8kedeJGGhgZD77O8jRujxjtmrXztDanuoX9Fnat0w0Ypivi9Ye89pPZk49WuAu3bSfPgQbJ87lxJpU5+v0QeBlyyaLE0drTiFbWPdK47naBg6VKJPMJQZ/Czbvr+VqyIvr/aWmP7gOf+Ih3v+mfS97+pscHQNlG7ykqJPK1w7eo1soT3i+t1bmqK2garP+RA8SdQgc/ft4/UHXOEyK+/Sqr4liyJPo6S6H4Fl647C5Yti1631NcZWs7ideuj9ptUbt4sy2z4+Npt3hy9Tlq3zlXrpPL6+ujjNsuMHbcxJd42w6JF4m9u48TBQCB2unm/iL+BQiJm+ObNj1qXpdumlSvlN9adWSWQospttgtBqRZ4KtykQlBnnXWW1hYv0oABA+SII47Q/j5x4kRtQ//tt9+WM844wxZt8A4//HAZNWpUQtMXRFQDUR+21oJQjY2NhgNTqaQqcakL7CG0sk4Fjz86bBf0eIzdXyD6/aE+10am8+vCfSqvbWQ6KyJ5nvoGyZv8vtQN7G/B3LKT/gyX5oCx112fy/c3NRmbzh/95ajWS4ben7ojZv6mRmPT6R5fzWEHSfNWfVq/q7o6KXv+lai/NdXXSzA/c+tw/M7Ia56ne82DYuw9nadfBwYCKV1X67+TAwbXuQHdpy+Q4uUE7Mqrf98bHe+Y5Ne1b1VtvVJ5f/rKiX6Dn/V4G6FuWkfoWz81G3xe1HhYP3510/PiBN4tVeKxYCeJZ8sWXrsMKHn/46QDUMqWMadJzXFHt3m7zmddJPk//hFO8NfXp/V1T/l9xazLDG4T6b6Lmhvb3ibKifP/5uYmCTa1sXsxzkl8zU3N0sznzxSfyf0mzTsMltKe3cW3cnVS9x9oaHDVulOdtBepqVtXqdltWIIzCaS+7Ypu/KE+P256HfTc/NiMytU9B0FPap+XXP3+j6CxsbFvsTWhkoaePQzux9D9zlg8O+j2AW858Thp3HGHxOeTyveK/nhZBvax2fGzkKsftwSNLadfV8kn4LfnPkv9fpOAweMhTqH2hZs6/mJGxPHvkKZAQDtW1Ko4VZ/Utg3bGibFed6atu5nePKgL0cCpSUS6FhuqDJa7sIlkrvkj7FEsDmF77EWuOkzCxuHoL799lvtZ69eveSqq+JXcVEBqZtvvlk+/PBDrSWcmiaTIahQG7wOHTqEw1CJUC39QlSoy2gIqq3WeamkqnJRCSqzIlfKubmRWWxr+fTlJj0eQ/fn093GEwwami5H975S7WiMTBccuoMECwrEk2SbyJza2pQ+n27n1Y03c3w+Q8+nvqypeh8Ymk43wM3JzTX2+uneZz5vjgRN3F/jEYdI4957tD7N5oqYEFSuqnbI+8wR606z66Qcn24dKMbWnWbl6DYovDk5hu7P643+7KnvdtaByEZmxztmeXXjfa8/kNL707f3yzG8jogd77tpHaF/dDk5xsYt+p046v0TcNHz4gTqe06vcachIr7Wd3F4N2wU32/L0vb9jPh8SbTKiQwj+kfsamybQbfO9QVSu85N5/a6RrdfWa2TjK3LYreJpI3pvLoxrjZdbl6b08Xb+e3L9YmHz58pOTn6bRSD67J27WTTi09KwdTPxVNRafj+Cj75XHJ/nvfH/bts3anLAxrelkq7mP0YXteNP9K67nSA2P0RqX1vqn14Ufdn8LOu3ovJUuO4pmOOMLcPMcXbbrAJXdDEl5dru32rPt3xOo/fn5b3pt3XnWr/g/74rqF9q7rpvDb9rKvlcsQ4wiSPbpvB6HEbFUzK/3Cq5P7wo/ZZMCTO7Xx5+eI1cnxQVbmNOHaTm5PDtoZJ+u91ddx101svp+z+ih99SnL/82vaP+t2X3dmk4AKO6ag8I7tQlDLli3TvgT33XffVkM2JSUlMnLkSPnkk09k/vz5Yoc2eCoAVV6eeBuEsrI/GuZUVFRIaWlkM7Bo6v8hZu7LKqoil3oNkDmqPJ9aSauV89ChQ1N2P4219bJZN8gxcn9NzQHZFPG7GoAM2X77Nqer7dpVIneJl5aVSR+Dj6/x43ekVvWfX7dejGpesEgCK1aGfy/vUC79Uvh8ut3GggKJPLej91Z9pNDA87mxqCh6ul69DE23ITdXIr8at9q6nxQYmG6dLzfqHIb+/beWPAPTrffmRJ1x1q9/f8lvY7pARYXo35HbbbON5PTs0eb9IfPrztovpklVxO/FJSXS28h002ZGT1dYaGg6s6o6d5baiN87lJdLXwP3V9GunTRE/N69a1cpZh0owYYGqb7pb9L01fS4G+Bt8W7VW4r/epn4th+c2ISFhdo4GOnXsGqt/DHKFsnNy0vp+Kqmd+/o8U5RkeHxjhmV7dpJZEy8c5cusrWB+6vq0iVq3eL1GBsHOsXGwsLo8Uef3obGH+t9vujxQL9+bY4HYC3/ylWyQfe3nlPfE2/7yAZRseqef1m2jLkg/HthQYGr3tNOUVXeMWrd4ulYLr4Bxqvxetq3k8ILzpZux7RdBUrZ3L69RJ5T3KNzl5SPd9K1va5syM2L3ibqZ3SbyBe1TTTAwDaRv7Qs5rM3ZMgO4ok4ua+lisHrdH8btM024tuWdpRm1C9YLJERJnWSZELvs/33S+j+tlx0mdRFhKA6lndw1X6TLR3KJbIxY8cunW35+Nbn5bl+/JHOdacT1M38XrZE/F5UXCy9Uvi81H3/Y9T9FRYWGnod6n74OWq6nO22lfYT/2v4fj2FhZLTo7v0Nnj7yo4do7dtOnUytG0DZ1ur+33AoEGSa7PXvdmXKxt1fxsyZEjK9/PYfd1ZN2t29LqluNjQclZ37yY1Eb+3KyuVrWz4+CrKyqL2rXbt1lVKbLicZm0sLjZ13Kb2349K1VU3Jn3/g3fYXnL6tP0NsVblCSL24Q4cOFByh5qoFgdpqmuIOrbr9flSum6pVlVYM/BZt/u6M5tUV1enJOtjuxBUZeXvm/GdOnUyFMRRIajIYFC6TZkyJXz9iiuu0C6tUYGpUGhq7Nixcumll0rfvn3D/1+9erX07t3yCn3NmjXh6z16cAAdaaAvJWl00K6/XVOTrPNFdn82KIGNhLw9dtcuiaj6v2uk9oFHEl8uxKcv/270bDD97YyWkde/P43en/59ZfT+zDy+eBUJ4rSDgE3FKadriP69YXY+RunfmyZ3sKjWpRCpvvVOqb33AfMzmDFTGv47PuHJvF27SOljD0jBaGMHdWEhs98nZum/G9JcdpmsncXjXDiH/rXjey8zdGPh/KOPkHbPPJa6+9NX247TZiEr12Vmt8H0WCc65zU3K93bNmmm3way7UkJZvdjwLH0La1Tvo1idpyk/wwVFoqv/9aSMoznspP+BLU4lWEzLt5nVC13G9VqXc/s92zM955NP+vpHpdlmsF1bv34iZbcnaeo0OANGSc5dvzh8m0NZI7t+pmF2r211hIuJFQxSSXEnKx//z/OeFy4cGGrtw39Xw0UVJIVSDmzXzhWDfZSPWhkw9laJgdI+jY9Rl8H/YAsZj5G692bDUHp2hDE44mzoRskBJV9B8hTveFlVSAQmqavpmXkfgNr18mWC/6iVUtAmlkUJDTKkxv93cD3gsPX8Ywf0y/ec27k9cvAa1f39POyfqvBsragY8KXdWXdpeLkMyVYE3lepPPp13keX2oPYunb4QXdFoIyy0QIynRgPt7nk3Wncw62uf2gklMOXnKAKPtkOgRl020py0K8cJZ0fx7MiBfM4v1pnlO2u50yjjBJH1ozuj0QrIms/WtO7sjdxGugYIqG7wb3jD947WARnx37/qmVqpE0cKgnbCr6BBp1+umny6hRo1q9zcaNG+Xmm2/Wru+2225yxhlnhMsWKzvvvLNWbk2VXZsxY4acdtppceejHufMmTO169tuu21UGz0gbQwO4nJ69fj9tkkOTnP69JK0sutg2iksCmLEpM1TELqKWlKjg3fd942h0BWVoJzN5Ias/r2R8gpLpg/ktzGfbNWUuc9ocP0GCaxbLzndu2VsGbJSxitBpfY9F7MOIuzzO56X7JPm186/dq1sOfeSpNqzNrw+Tmp3HCLF1/1VXEM/Fs7NTe395UXPP7B8hTTN+cnw5N7OnWz9vWy6io1VO5tddqAHWRi+ccrBSw4QZZ+Y92aG778lma4YwWchSytBeZ1TCSrLBZ2yb9Uqdh1HpHsbWrfNl7v/PuIbaLwFek7fraTw/LMM357vBgtl/HvdIZ912J7tQlBOs/3222uX1qxYsSKqhZ0+NKXCTLvvvrt88cUXWnu/VatWxW11N3nyZNm06fdOnIcddphljwFolcnBpUpoF990jdTccY/pAYe371ZSdOVfJKU4iGWtmMpMKW7FYHZAZlXoykjp5Xi3IQTlWGk/qGQUB/ItpV8nFIz5s+TtvUeb0zX/PE9q738o6ftv/PjThELAOQMH2PrgrCOkuQ2KvkoglaAyxCkHPeHYSlD+ub9YMp/mn+aKq+jXeSluEaKvBFX3xLPaJRFqLFD2zGP2bJNluh0egQrHynglKJdtMzhkPGC2grbS+NkX0jTtG1MVZ9VByILjjtZanMG85gULpeYf/5LAsuWGp/Ev/+OYgq0rQem3pVK8nDHz5/srIwJbtkj1X6+Xpukzje9XjZCzdT8pvfMW8e3Q+rG1cPhF/z6zYTu8uMvE+9P9+ywdMo4wzezj0Y05is4/SwpOPkFSxu2h/XSKOeaW4n2kTvmsw3EIQdnEmDFjtBCUqgZ1xRVXyFNPPSUlJSXh/y9atEj+/ve/a9eLi4vlhBNS+GUBWDToKbntRin6v7Fae5+E+XyS069vyjecHTOYdnu/YLOvg9n7M5su9yd+f9ogTm0ERwz8g82cBeQYTtlQtyrAwTow7rolb9+9pHDMnw1NWvLPO7UKE4mc7bdh++EidXXh37ecfq4kqvTBe6ToLxcnPB1a+P5K9U4rXdWTwNJlUn3jbcanLyyU/CMOldydhhq7PZ9tZ6/j4dgQlJkDQnHn09QkbqIfC8drH20pXQjKjPrnXpLiKy81dKDOMcwcRKYdXnaGt/WVGNx2QNcpBy9NnsxV99xLsuWsC5O66/qjDpcOE/+b1DyymXqtNh98jDbmT0q6238ZrZqe7m2pmOEc3yeZUH3NTVL35HOmp/f/PE8q5v4iHRf+0Pb3WLz1nUPa4anwqU2/VdLHqvGjXT/rdl0uq5h8HWJO9ktxcFGtR6KWzG3j1YwWOkhvJSjXbWsgYwhB2cRee+0lhxxyiLz//vvy/fffyzHHHCOnnHKKdO/eXebOnSuvvvqq1NTUaLe9+uqrpby8PNOLjGyR5CDO2769drEtpwymncJ0KMnkWchWhaBSHbpSB3YiAxFU/HAM06sE3XujefYcWdd5K8OTe4qKpOCkP0nJ3bcb2tCI3elo9I6yfleM5WV/1UZ3Tp/eCd2dt0N7CUSEoMyovv1uKRx7Yeo3TN0qw+3wVGC85u/3JjSLmtvvlvKvPpLcYbskfv+EfX5HCCr7pLsNrC5o7+nUUTpMmdDmZHXPvCB1jz75xx8a3RWCEn2oK8UhKN/2gy2Zj3/FKnuGoJJoMRI5ZdBsdR/Gk+7n9u89p4SgTO7HqH/x1aTvunHSuxLYvFm8HTokPa9spMJPSQeg1FugXTtJqXSfoGgWlaBsoenrGUnPw794iQQ3bhRPp05t3DDOSWY2rAQV973P+zOWXavsm6VfVdp1HGEVw+3wdJ/bVJ/4QpAm84UOzHL7tgYyhhCUjfzjH//Qgk5ffvml1kLv3nvvjTmoNnbsWDn55JMztoyA6wZxfMFay7LKTIHUtt8zuxGlvz+DG9ye3FwJNjT88QdCUBr/0mVS++CjsSXejfD5fq/Oc8E5qT3z2aoD5H6/BDdsNH63slFq731AcnfZ0VipYA7kWyvNG3sqxNIwcXJS8whu3CTS2ChSUGDZcmWVNB/88hRZ0E6ksVHqx71tLgQFa1931p2OqQSlHzOkvHKAfuxYUCC5u+7c5mSNUz+P+j1qHOkGurGwx5fag1hFF54jTTO/lYZJ74kk8lzqD7iZaCNla2msBBV3vM6607SYdVeq99O4PXDglBCUyW23QOUWS+4+qOZDCCpzFR09HikYc5o444QS1knZILClypL5BI2E/eONwex4Ali8/cRuGz+mtXWzQ9qbOWUcYZbZfcf6936qg4t8N1hHf3KMjcPNTT/8KPXPviiBTZsTvtvS2lqp2W8vCeyzZ8LTwhkIQdlIYWGh1gZv0qRJMmHCBJk3b55UVVVJ+/btZdddd5UzzjhD+wmkVbYN4pCZAZLZsqppDl2pEsam7k93pkPTN7MkmEDVl5xB20hO927ith33m0cdJf5Fi03Po+G1NyVY3yDFl18idlsHei16vZpm/2guBJXqVpRul+YQVOlD/5Rgfb00fTc7gbNtgxLcvDnmILk6wA7797vP23N38ZSWSrAquR3H6qxZYzd0+XjOLKsCpLAFQ6HodH/vmRw7evKiW2ZqIVcXiWmNkOKzgj3FxdL+tecTnm7D1juI/9ff7L8jPdMHllgnur/igFMOQprllHGS2Qrauu8i3y47SU7vXq1PEwzGnKThukBuhqk26kYPCKuwcO6eIyV35x2dUQmKYGZWCFZXR/1efPO14ttu29anaWiULWeen/g4N85rbPTE1HTy5MSO9ev+84x4SoqNzcDrldzhu0rubsPFVVzeDi+Y5jbFTqmmrN/mS3kLdIe8XxzB7DGwdAf9162TzfscIsEt5gL/RSqXMX6ibH76YZGhQ03NA/Zm2xDUPffco12MfskMHtx2eXP15aNay6Vbr169ZP78+YZuq5bx6KOP1i4A0oDBUYvUwfiG9z4Qqa83PE1AX+kmgVYM5iozBR3SDi96w7zqL1dJokofe0CKLjxX3MK/5NekAlAhjR98nNoQlJ7B93Te3ntI7n57S9OnXyR3f0Y/C1QzsZZ+B0aKAzGqfV6H999OaBq1obe+69aOOUiu7RQyUwXP40n9jpIMHPzydu4sHT6bInVPPy8BVcXLoOY5P4l/7i/h34M1tZJSbh8nxbzuBqdz+/PiBE7ZkW6yiqjk5UX9GrTx+t2UNIegLGupkMCZ/DnLV0jurO8lRzxSN2t2Ynfbq6fk7be3eHTvg1SHoOpfe1Oav/8hse29ZLDudM5z55R2NG4PQVkUUCm68i9SeOqJbY7d1+WURd2HCi/ApDivVdFlF6dnOycRZt/6tMNztMD69VJ5xvnS9MXXCY119PuL8488TAvwtEaFKfUhKCOV0uIulw1DUPHe+9U33JbwbMqeflQKzz5DXMtt291OGUeYZfbxUAnKuRzyvd745TTTAagQTzAoeaq961lnJjUf2JPNRtqSUGl6FRgKpWpTXsYeyFbZNohjXaJpnDZDNu97qEiSJbtjwk02CSXFnJFh8gxK42ft+WJO1k1Uze13uyoEJQlUwmqNqp5jx3WgJz9fOnw8WZp/mivBTcYDDjX/+Jc0TvkwfSEot63TLRJTZc6Oz1OcA6N2PTDRMOld2XLR5RJYucrU9L5dd5Z2/31BfFv3E9ds4Ks2iDvvKLkP35/QNDV33hu1E7Vp1vdSfcOthsJTSOEZm4wfHdMOL91jf7NVS/XhF0NtQhwk2Bw9prbdQeCWxvoGx2UNH0+VjseeKp7/hb3M7JbNO/Iw6TDpDUkpfQjquZfMzceO46RsQ9WV7NjvZVFF63iVSvS0MVF+fnTIgUpQ6R+3ZJrRcVLMSUT2rBiB+KpvviN6P5RJhqod5eqqnSpNLmqHZzTA3oa6p19wVwjKqn2Wdh1/OGUcke51bsyJL6kOQTnk/eIEDglBqQ4hVvBYNB/Yjy33NBkNNBF8AtIg2z5n2fZ4W9Dw5oSkA1AatdPMxGA6qK/w1BKL2uHFHKCy+P58Ow1NeodCYM1acZOgPzZkokpnt6Vp5nfS+O77f/whkbPU0rwhq3b85Q7dIaG7q3vxteg/GH18Vu1QYB2YsUBMolTQTs+OlULU+rXy7IskmETliOZvv5fqa2+W9v99UbJ9p5V+x7J/wUKpufOfJmZkz8eXdgRIs0+GK0EZ/j7RreODGzdpwRqjVGvU3F13TkuL1NoHH5G6516WYFV0S5TW+Fetjv6DXUNQ+h3pBsdl9U+/EA5AmdX4znviX76i7ZZVyYT2rThQp97TrBPTL93jFrdvMzhkHGj6dTB7MldeXtRJR3bc1nAMh3xmTJ8QkOaTiPQhK8P7EBFX88/zkp+Jzyfenj2MvXbqEvGeCTYZGDPF229rw0pQ3tJS8e28Y5uVNdsSqKgQVzG5Doypyu6QdaltxxFpHn/EhrBT+5lV65eoJSMEZZr+WFmqw80xHxmTBRK8XTpLwZg/tzlZ4/sfSfMPP/5x/7xXXMt2e5o+/vjjTC8CgNa4bAzn+p15JgW3VCU9D0/79pI7ovUyyGGm2+FZE4IyO7Ay2iKr7LEHZMv5l0rT7DkJnC3hl2DkRm8wqIV/U9lXvPHr6VqrPv+S3xKf2OuR3GG7SNkzj0lOj+5t315/YCgvT0puvaHNyWr/83R0CEpXScByaV4n6M/KNR3QIwTl+hBU3DMMbXhgIrhxY1IBqBD//IWSUlZVBEoxT7t21szI6IFvt68jCJA6VtCySlCSWvoDzwbHjp686LPk/YuXSMWooxJuqVb+5YeSs1UfSZXGTz+XqsuvSX5GLqsElUib01bns7kipSGovFH7Sd3CRZKM3H33Ml7JSy1XZGst1p3O2UbRrbsMb6M4tTJkilthWxf8MFrRWnc7owch83XjRSpBWcum2xumDnTrQ0g2rRiBFlgQIiu+/q/iLSszdmNVDSpyfWKyEpSRqnaZ0H7Ca1Lz93vEv2iJ4WkC69ZrleTTdsJnprltu9spYWqrJHBsI63bfPqT7NNQ9bnxvQ+k2cz+So9HfEO3l7wD9rPn/scMV4IyPsaNfo95e/eS0n/8rc3JtmzZEhWCihkrwzVst6epZ8+emV4EAE4YXFokdizt7sdrlH6gkbPNQPHtPNTw9N7OnaTw/LPE2759SkNJplPpJsrpxh18Gdx5mNN3K+nwwURJRPMv82XjYF2ITC1Dis6aUO/9ylPOksCy5abnoVL0VVdcK+1fez7hEJThgyf6x2/jSlBp3Zln1XKyDvxdunfimqCdQaUuEZ+BwKbNEkigF7qntDTlG9v6lkem55Piz3rad9yblLf/PiKFhcm1FPV6Jf+gA6xcLOcyWz0lzTvXYJAN2+HFfI8bHcdZUKEnsGKl1D33kpTccr2kimrJaQV1xqYjAgd+kztj+/SWnO7d2pysacbMtL4/S++/W7xdu0jTt7NN3Zdv0EApvub/UrJsSFC6t1Hc9r3nlIOXZoO8ZitB5edH3cWWCy4TT1mpwTsVyRmwtZT8/RbxDehveBrXcko7PLNjXP3tCEE5i+75U4Gm/NFHG57c27un5HTtavj2ntxcCUaEoIIGQlBxq33ZdJs9p09vKfvPQwlNU//2O1J57MnpO+HToScf2Xa7267LZbt2eCmOI+jWCf4Fi6SpY0fDk+f07WP8WJZqJXrVDVJ7f2Kfdb2Su26T4muvFMn2EJTZ95jZ5TR5shOcx3YhKAA2Z8eN9GQ45YyCdNPtJMs/6jAp/eedaXsd6l98VZpmftv2dBGl2ROrBGWiR3S826RyABhv3qkMQW3alFQAKiQqRd/a/ZndEau7XdDtISjD7fDEmkAgnFMJKnSQPCIMs3nPUQlNrsrVt3vpKcnbbx9JmTg7NMu/+yqmrZueaiGqKtOFue2znsQO1fJP39OCDcGKyoSn9xQXS/5Jf5LcEcNSsnyO45DXHXGYHbNnOARl9Ps5d6eh1tz96jWSUhasm3O221byjzhEbMnkzlH9+LT4qsukaOyFbU631tcu+jk1e/DZaKCzoCClIbk2sent3HZ4bjtQkOZWXukOfphtR6Nvv+1ftFgS0fzdbPHPmy8d58xIaDpXirM+t2XlB6d8htiXay39ibBb99MqvaeMqgQVyWQlKDu2wzMr7fs6nVqB2a7jD7fvV3BIOzz9OKnq4gRP1sjJkbInHpLCs89o86YqkFf3xLOSrLqnX3BICMqmJ4WbLZAQs53vsnUuwghBAWgdg7jsZDKgYppugNI85yftkux8DN/OyOue7g3ulkJQKRKoNF49plVNurM8rD4bJN2VoPRSvQ40e7DNomomrAP/J829z83Szs5OoiJQYOUqqbr0r9Lxx28kVYL6z7r6uG+7jXhUNaNWNP/4s+Ul+m119nISVIApbSEmt4379IIuL8vvZpa1w0t9iXwz6xbVwq7suf9Izb0PJNRSNKBaWkd8L1hVja9FuufPN3xXKb7xasOTe8tKJXf3EVoYx5bMhtPNbkuZfX86ZZtd1w4PSUj38+j2qitO+QyZrchlcp2kqvSpdqzJUGP6QFWVeEuNV5ByJaes+9JdicEst6+T0szs/iSzPLm+qM2wwJq14m8juB832O+iEFTMPtE4+1GyklO2u50yjjDJdGg3w5WgEub3y5ZzLpaafz7Y5ryCmzZLsLragvbnm8WWHFIJyvRJ9rrH46EdnmsRggKQ3Vw2KHVqCKqtiiCWz8fj4EpQBlvpVV1+TWI9qRsbo3/PyZEOU99tc7Km6TOl+uobEypjHXdDKMdkUt9t1WHS3Q4vprS0scnczuxB63TL6d9Pmr9NrhVR84JFklLx1gn6Mz/t8Fl3SgUA2POMVFaezpHu185v/vuk8MzTtEsiqlRJfrXTNl0HUPSVA7p3k4KjjxDXMFsmvznNISiAqivZcfDSbEUM/Tja4HdR4dgLpGn6N8m/3kb3EcC5aIfnbOne/6HbH1B50pmmZmPXk9VMyfQJn3b9nnVKO16njCPM0j2eqmtvkepb70r8+z/Fx5d8220rjctXJD0fVcXSjNx992rz5B5V0T2qBXpjYmOkQGWlBMw8Rq9XcgYO0NqR2vLk4JjvdbMhbIOfPdrhZQ1CUAASGsS5qlxzNuzMMym2XGlqBzoFJx8vDa+PS+r59+26szaYM0I/cIsJPMQRrxRxKgeAcUvEGhyQVZ52jlZ6Pqn7LyuTvL33bPN2wfoGUzs4g7qDgh6DZ4Po34tpb4eXYjHvTaNnIlgV4GAd+DuHhKBK771DKk44XYIbN5mfSaoPkMdbJxjY8eH61pewB6ted9ad6eeQSlBp/z5J81nksaFhd607PWluPWXZOsiu32Fse7voRA2XvXZZVwnKYAjq1BMld+eh0vTtbOPrv6oqqRqra+tCRZO0V9rJeCWoVFcS0o03jOzTg31DUKa5qBJUzL5Ot603zR5fcsrY0SnreLP0j6euzlRVeo8vtZ/Z0of+KVtOP0+avv8hsYq6FnzevN26SvmnU9q8XdOs72TT8H3+uHv9SemtqH3wEam64jrTgR1Pebl0eG+8ocryQf1YP92VoEy2wzO8nG4PniKMEBQAOGEwnW76AUSKNywLjjlSvF98II1TPzd1lqC3Zw8pOPE44xtRMTsPDUwTb/CV5nZ46oCKx8DOtWQDUEpO756Gy1hH3b/ZSlB2bYeX7g1Zs2ciWFXNBI4KQeXtv690Xvtr/NLwLfAvXCSbD4io0hEIaDuNUxXqjGnF5PMZW1ebbUHk8tc83WJeKreNk1h3uouB10W//ok5KOnwMbV+x3LKD6C4fd1pNpCrv53Rca5l7fCMTQYHy/CJGowHMsTkASLTwUy1+hq8rXZJpK2LPgSV8tasbm7BnG4mlyuY8YoRhKCcNJ7zbTNAGn9bmtQ81H5gyc8X19CPFWnN1MLYWOzJKeMIk7zduyU/E49HvF27SCr5Bg6Q8ulTE56u9t+PStVlxlu6x1N01eXGbpiXZ+5k8oYGqb7h9qS+74KbNknN3++V9m+/bv82t2ZD2EbHuPrbuW3bBmGEoAC442wls5xyRkG6mSyXnoy8PUdql0y87jW33il1jz7Z+jTxDiLZsR2eFUEBj0eKrrnC3BlcTc2pbbkYE4IKpHUdmPJqeGaDH2bLz7MOdPxBXXUQI6eXsdCiEqytjb9+02+IW0W/QW828JjqHdtuH+8gPtrhOZfZ5zzDlaBSflAwZlyW4hZEbl936itbGW6Hp2/7TDu8uNz++FzcDs91VVccsi4zHUbzpzGQG2+sTzs8567vzIZxU10ZMtu+L13WzrDkH3+TykVLxL/kV1PTezp1lNJH/+WubhVur0pi1Xa3U8YfbnpvqoDP5ZdIw6T3JFhRYX4el10s3o4dxY6K/nKx5O6/j/jn/mJq+pzttpXcITsYuq0nT7e9rk5MVSe9tzE2C6zfIMGaGkmW32gANc37xWNOVjPZ8tno/hZ99T2P29a5CCMEBaB1bt+OZMM58zvJMkE3IFKVUdQl2fnYNQRV+sRDktOju7H79XjEN2R7yendy9jNdQfbjJZx1VcmMNoOL+M7BtxeCYp14O9c3N4nbv/3FIagYj7rRkvfZ7jqW8qDCrAH2uE5l0Pa4cVUDkr1zsOYdnhU0UuK2e8ik62nYhh8f6Y9tG+WXZfLiTLeDs8hByFdXqXH7AGiVO7fiTfWd11bJys45D1mWJrb4bl+nZRuMa9fau8ud6eh0nHRHAlWVpoai3vatXPf9rp+veyy9WbMy2y6k4NNt7tjxuLiKrm77CSdVy6Qpjk/mXpvqhM3c/puJXamQkxGg0xJibfvVR1LKSxsdTIrAlDafOobjN3QIZWgTLftS/eJt8gYQlAAEuO2URwBAMvLpTuBt0P75GeSkyOe0hJJmXihC5MhqPxR+0tOv75iq4oDMe3wjL3HPGbbkpiV5vYiHrMVBziQb6m0l/NPpziBQ3VgImVvbZOVoPRn5aT6sx5zEMlt4x2zdM+Dx2XrCNPBAd4fzpXhSlAp33moW8fSDi8zB1ljtqVS3Q4P2SfdwTe3vzcdUgnK9AGidO7fibe+c9nBfFe/x/TMtqOhHZ6jZGL/h/re8rS3YN+sS+jHiinf1+kQHqeMP+y6XBbyFBVJ3u4jMr0YjueJE4JSJ5R72gpB1dZF/yE3V7o2bm7z/hre+0AqDj/uj/nU19vze91s1Ter2uHRgtS1CEEBcOeGulFOGUynWxrPFMyEwvPGSOMnnyX1ehf8+WTxlqQuBBV3x6SBAWDcDeWUnumprzjQrB1UbnNHvGXt8NIdgkrvGY2Gd3xYVQkK7j+om+4DEyYDj2nfIHX7eAcWrzvbmA9SzyGVoNJeWTCmElSKDzy7fN0ZG7432g7P5DjX7PvTKa8D297O5fLAgXOqqUl6DxCZEW/ehKAcvJ62Zzu12HUS3ydJcfP+D6dweSUoq/ZZBhsaxL96jeG79RQWiDcNYbugU9bxyLiYdngiUv/GW+ItK211uuYFi2JCaYburyA/6vdgnS5MZZdwrOmWzyYrb8eMIwieuhUhKADZzewGvtulcydZBhScdLzWr7lp+kxTO3Bztu4nefvvIykVZ9Bm6MBLmkNQMZWg1FkGb01s8z6bZsxyRju8dB+cMVuO1WwVGw5Gxad/Gly0E9ATJ4QUNFjBzb92rdT8/V7xL1xs+P4CGzaaa4eX7oNtMTvu2WmVFWgl6lxODUGleEytX8cbXb+bpS8/76rKicl8F5kM+6vgRbC1Ayot4cBL1kn7wTantKMxyymfIasOEKXyJCn13Kn5R9xnsMllB/PNcNtnRi/NVXUdUx3GKQhBZZ5+P43bKkFZtN3dPHuObOgxIKG7zjv0IGn/5kviKS4WyfZxBDIvTiWoqvPGJjwbT1HrlaPCCgqif3dKOzyzx0MMLqf+ZCcPlaBcixAUgOwexLnt8VjFbIraQdLW69mseM95wBkhqMo/nZb4fAyHoLxZVQnKcNsVq/rPs/PQ/TsB44WQ9BUrWlB5wunS9MXXyd2/XQOPtMOLz+0HGNw+zkXm39P6FkSp/j7Rr+Nph5cck99FtMMzyO2Pz03fX2ZbVCTBv3SZ1sIjWF2T8LSedmWSf8ShktOjuz2r2KT7dUj3/h31XRR5n26raGIFu445zX4PZbhiRExrcyQm6JD3p4vFdAMIBrX3tetOMEiUBY+/ccqHUv/am1J4zpmGbh+srZXGaTMSGn8E1m+I/gOfIbTAk59vzXwMV4KKDkEFq6pk4/C2T+wPrFuf3hNFLWqHZ7jls9mT0OE4jg5BrV69Wr799ltZtWqVVFZWyr777isjRvzel/TLL7+UIUOGSLt27TK9mABsjLOHDO641wdP4KgQVCpfP8sG7wYPDsW2JUnz2VHpDkEZPRPB7I571oHZd1DXZDs81Tc+6QCUeirbt7PnZ90pB79gLSpBOZdDKkHpKyWlfN2iW8cHa2rFv3xFYi0jOnUyfn9uDxKmuRKU+XZ4bczHLuy6XGiTx5vedaf/t6WycZe9JLh5s+l51HTvJh1nfy3eLl3csy7TrZOqrr5Jqm/5u4kDRKn9LlLb9lFV7QhBOec9ZnK5YlYJaQ5BNX8zSyqOPdnw5J6yUik441TJH7V/ChbOgdy8/8Mp4owVVRgn7kls8aS4+mum1oE5/ftZcvf+Jb8aul1g/XrZtMco8S8yXv08Lruu45FxnsJC8Q3ZXpp//Dmp+eSOHGGqHZ7SPOu7xO8w5d/r5rY1YvYVGw1rpfvEW2SMI0NQ06dPl4cfflgLQEXq1KlTOAR1yy23yMaNG+X000+XSy+9VPLilJkD4KINdYsYbjngdmkslw5rQ1DBeBVdUvj6ebt3E2+P7hJYtTqp+fiG7WxykJrmFlmpLuuuD34YPdhm1YF8ZOZM1jSKFzg0cmBCnS1khcJzzjB2QypBIR0IQWWfTLfDS/H3iX4d3/zdbNnQZ9uE5pF3wL7S7q1XxVtWJtl+0Mxj9rtI/72a8hBUdm2zI/OVoFJddaVh4uSkAlBKYPUaafhwqhSedpJrPkMxJ/HV1v5+kDxRqd6/o9/eIATlmPdYDJOVoNJ98piqWNHw9jsJzaL+lf9qQUnfDttbvHAO5PLxnCPE2U+zvrSb4cm7qopH2w+Wyvv+LjJ0qLhlHZi7x+5SeMn5UvfkcyKNjZbdfUvqJ7yTfABK4TOEVrR78yWpvuYmaV642NRY0DdsFym9/y5Dt/d26mhiCePMp0MHSecYN5jydngmT3aC4zguBPXQQw/JY489pgUVIsMKkR8Sv98va9askUAgIE899ZTMmDFDnnnmGSkpKcnQUgOwLQ5ixacPlhCCSru45Ttt2A5PhUPaT3hNqq+7Rfy/LUt8Bjk5krvHblJy562Gbx8pWFEhaz3Gv9+7+HxSv9swqbr7Vle1w+NAvrViNrbctAMjXgiqolICbYSc/GvWxvyt5K7bjJ+Z6PFI7q47Sd6+e9uzNLFTD0ykm9tWEVa97qw70y/Ocx5zcNiOIah0H3g2ofGTz7QDg0UXntv2jd38fRnnTNLm+Qul4YOP25wsWFdvruqK28dlusdXeeIZWvUxo3xDd5CS+++SnK7qUF+Wc8o2ikmBTckFoEKClZWuGgeqE5CS5vGIt6uB6ljJ8EV/11Vfc7Phg3DttlRKU+9eUnfeGHEVp6zPzb730x36LrXgGI/fL42ffUkIKs7+DzedBOYUhls4tSLv53lS8uhTIoccLG6h3otlD98vpffdlVDod8uFl0nDf8cnPG4J6tvamZS7q8ETfZGVfNsMlPZvvZaW+/J27iz5Jx8vDa+9aX4mPp8UXnC2pJT+e8dsCNtkOzwPISjXclQI6vnnn5dHHnkk/Hu/fv1kp512krfeeivqdnV1dbL11lvLwoULtd9//PFHufrqq+XRRx9N+zIDjueQnUGmuX1Hs1MO2CBWnJ0OhtpBpTkEpeQO31U6fJTYWXeZ2jHgaW6Wwq+mS+DZl0X22qvtCdK9TjBbcYAD+dZy80HdOJ+hTcMMBpMieb1SdM0VxkIHlrSGTG87PHb8unTcp0cVPecy+33lMT+fwObNUv/6uISqXzZ9PSP6Dylet/i2GWDJfPxLfjN2Q7dvK+q+M+tfeEW7pCyclmWVoPyLlyR0++af5kpgS5V0mPRGypYJFh+YMEvX1keFf3w7tV3ZomnGLAlu2pS+E0rSrOjyS6Rh0nsS3LLF/Dwuu1i85eWSznZ4TV9PNzxtwf8ueep76MuPxLVs+h6LYfZ7KMXjnfzDDpbq8vLoz7sJwUabtxBLF4esA91MC6cWFIjURwfpE5Wz1MTJqQ54j3ny87WL4dur57K1+zd6QmRRkeQkEED2tCuTwvPGSO6IYYanAVKt3YtPSdN5Y8S/bIW5k9dHjhDfgP6SUvp1QoorQaW90wgyxjEhqLVr18r999+vXS8tLZU77rhDDjnkEO13fQhKVXyaNGmSTJgwQW6//Xapra2VqVOnyrRp02TkyJEZWX7Asdy+IUQIKi592IaDwQ5qhxcnKGDFGUV24e3T25L55BjsB++Ys6zNlp9nHZh1ISgttKQOxibZlsJTUpK6AFQLpYlVFdhU3Wcw4PLxDixdx8eU6mbd6RhmXzt1u80HHinN3/+Q3AKkOgQ1YpgUXXGp1D76ZHIHUUyOP1y3zWDVGJoQlMbbsTzpFtpNM2ZatjyOFvOaiz0PTJgUbIoep+YduJ92AKctm0cdKY0ff5p4iN4hbZFzh+0inVYukOYffjQ1lvf27iW+rftJqnnatxOJU0U2EXkzZqZ07J92DllPm/4eSvNnKKdPb+n47RfSMOldCVZVG56u7tmXoltdMYZ3/f4Pp/AUFkrp3bdJ1VU3xgSBE6Lfr2EXGW7jazYUnX/IgdJ+/KsWLhiQfiqcnnfAfuLGEy6CfpP7I2K6D6T4xFtkjGNCUK+88oo0NDRoGz8qDLX33m2fsX7sscdKWVmZXHzxxdrvKhRFCApANgYA/CtWSrDa+I6BYE1N9B9cFKJxewgqE5Wg0kmdgVP018uk9p8PJjUfT3OaKyyluvqNyTMvM7FTuf7Nt6ThnSkSbGhIeFpv505SdOE54ttusOFpgo2N0jz3l8QOFOifd5ftBMzZup/4FyxMbh4WVRtp+Q5aaAmaqvVZms9edi6XjZMsayVq3SLBmJjwUorDv/75C5IPQGlnMeclPY9W5+/xaO0iVLvSYAIhqKpL/xpd4cjg+CO2faxND+qalLvLTtGtNEwI+nzi297guMXl26aqik311TcmNxNdOCZrZXobJdVvTf0BYKPtl/Wt040eDHZKQEW9FCUlkrenvfdtF55xqlRfb7D9fGvb6+p1sfFrkVTVWbc8rgyGaHL6biVFl16U0DSq/Z3ZEJRqxdX0zayYlrdGQ8C+XXbSDkTbEiEoWyi67BIpPHeM+FevMTxNw7i3pfram+3f0indY1qrTjDlswCkR0xwMbXt8HyDB0X97u+7lbH7g+PYdOQV64svvtA2EFT7OyMBqJADDjhAm2b27NnaBUCCHLQzyBQHPZ7Apk3aBnuwxngP7GBdnVSdf2nyd+6iEI1jEIJqUem9f5fia/5PAgmcXVr30utS+4/fK0pqzJ5ZleJ1hr76TfPP86Ty3EvanK7pux9MHgyWtFYzqZ8wSSpPOD25ebz8X+m0dK52AKAtzT/9LJsOOEKC6zckdZ9uO6hbev9dUnnaORKsrDQ1vadjuZTe8zdJqTjrrYrDjzO+E0rdLhiUwgvPMVQNT33WnDo+SKk0Pw9qHVT3yH+k4e3JCQU4Qrw9ukvR2Askb+89jd5h9O+87M6V4hBUIlUGWpN/6EGSDp68PO1i+PYF+Ym3YM6CbUUV2vH/+ps0fvCJFqpORFNTk/g7lUvtBWdLt3btUtuu0SGvQ/FVl0veoaPEr//ObUXzwsVSc/Md6WuPC5tUgoreVvPk+tJ7QolNP0NOUXTtleLbecffw8MG12OB9Ruk9oFHXBsEdUrV0JiKmdXVUj9xcpvTNS+OrrTtsev2s9kw/IqVsmmPAyWw3EQrof/J3XsP6fDROwmNz9KG4IdteIqLE2o71dSta/QfHLKuSX9422Sggs8CkB5p/szm7jlSCs8/S+qeeFaa+vaRmrP/bHRJ4TCOCUGtXLlS+zl8+PCEp9155521ANS6detSsGQAHM0hZ9v6V62WTSP2lcDKVZlZAH1bIqRn55O6RLwnDR2QincbF260eTt10i5G5WwV3UbPYzQEle4zNnWvlQp61T/9fOLzMbucKV4HNr73QdLzCG7aJM2zvpO8/fZp87Y19z+cfADKhWfq5h9xqHTesFQCCZxhGObxiLd7t9S32Ywz/8YPPk7fe85lr7lTNLwxXqtIk9Q8QlVbCgravrEuaGX4s+6Q8aOrmX3KzVbxinOGYf7xxxq/29xcrZ1TwZmniS3p17lmW0i5bMzpyc+Xssf/bWraOXPmaEGoXKMVbKxct9j4Oyx3yA7axShVdSMyBGU4oOd2Ga4EpQIBNZEnmLTBU1QoeYcdbPzArkWVoMy2v7HxR8gR1HhKhX4TCf42L1gYG4JKZRXYTHPImyywbr1UHnOSex6fye/Z+pdeSyoApTR98bU0fT3d0H6MtHN5ZU9XM1vxyOXjlpjteipBAfamD2E3NUlg82ZDVRpNdcbweqXsPw/JbxefK03NzYlts8NRHBOCqqur036WGDjrX0+1xFMCdh0EAHbm9jPiHHIQq2HchMwFoNSXxbbRJSKRJmrgFrmj30ApUH0vZDUPtwU4zIg5285gK410rxLUWV+WzKeoyJbrwGBtnTXzMViCPrDi9xB9UgoKJKf/1uI2qhR/Tu9eYlfestIMLwA7uzJBVby0jIlKUqmuJgQLpbkdnr7tm/qebf+aiZCyXRGCsgez6xY3r4PMvjfdLsMHE1UYILL9jqF5lN4u5TM/E9+gbdq8bVC3raaCpKmsBGW6xSoyXwnbKZzyHrMqdGbX8JrJ79nA2nWWhcpsye3tGt3MbPUU17fD0wUqTIaibbuuBlxGhZIiBZYuk/XlvROfT6LjDz7jrueYEFSHDh20Sk6rViUeAli8eHF4HgDQKptuLFi1wZ0oT7t2UnTZReLbaWhG7j/rxYSgTLTDs+vOp3TThaDMVoJK9eBYVYlQnzuzbco0hYWSf+goe7a60j3vqvxs3n57tTld7cNPRD8nRg9oNOvCbj7f7xeDcnr1lJK7bxNPYaHhaWANVekt76jDpXHSuxm5/9xdd8rI/dqOQ4OSZnl79XTV+BEWvqddPr6K2VmoD9W3hAMFllIHHYNm2ie5+XUgBGUP+dEtM80IVlVJw7i3xXf9VW3fWL+tZrB9lP4ACgc9HYQQlC34dhzy+2uR5HOfu+vO4uqwcVGReDuWtzmZVnk5cp+ETd/TMetKQu3Ooa/aZdP3WIxUrwNNn/iiCwTyWQCctU6gkiGcGoIaPHiwrF27VqZOnSo33nij+AwewNq4caN88skn2s4kNQ8A7txQN80hZ/IH6xuifveUl0tOH+MVPLzlHbQ+t/nHj07sjqkilFm6ja2mz79ss32Vf+EiVx+kM8uTl+uIEJSqzFM+7WOpf32cBCu3JDy9p6RY8v90rPgGb2vPdaAulJR30P5Scsv1bU5W//p48UeEoGLCTQbvr/TBe6To4vONLi0yrP1/X5CGSe+Kf+nyhKZr/OQzaf7hR8MHzPQVsvIO2EeKr0uuJRvMCeqqN+WpVirHHGEoLF5z651J3XfB2WdIjtE2PYyNsq4SlOsrHunGi4Zbjrn9eUk31i1tt2UnBJWZEzX23P33cVVjY1Lz8Rs8uUt/4oQn15fa94vb93s5QNwDzU45mG+ETfc16uX07CHtXn9eav/5bwmYaStfkC/5xxwpBWP+LLZkskWWPpRceOqJUvbkw21Ot3Gnkb9vl4bmY6C6e0bol4vxnGNPZPDYdb2Z7mpjZtsEsm0DZERO/37WzGdra+YD93BMCGrUqFHy6aefatWgHnzwQbnyyivbnKaxsVGuuuoqqa2t1b5YDzjggLQsKwAHSSIAENiyRTvQGqxIvGKLp6hQ8vbfR7ydO5s6KFhw4mgpe+zBhO8XDqPb2Kq6/JrUlwF1K5Pt8GKkYYe4CjCV3HqDuHLnrP55N1qVyad7HxsNQekrWSRQBQqZ5ykokIITjkt4uuK/XpaS5UEa6MY7uXvsJkUXnmto0uKbrhX/3HkxwXEjvF27JNYe0iEh+mQEa2qkedESU9P6BmxtWXtXw9IegnLZAXKzLaQ4W9paMe9Pg9O5OMARsy0TDGoHo7P+RJ10n6jRr690+OBtqXv6BQlsrjA8nX/efPEv/uO7pPG9D6Wy+uI2p2uaMSv6D2bb4ZmtBMW6LP3iPOeqOo1rP+k2XocVHD9au7iSVZWgjL58ZtdJ6Ubww7kc0g7PcHVTqzAeABwlZ9tBUvTXy6T2wUdjK8IalLvXSCk8b4zlywZnc8yRoGOPPVaefPJJWbZsmTz11FOyadMmufDCC6V379i+kH6/X7744gt54IEHZP78+drOkW7dumnzAJAgt/cFN9sPvrJSNo3YT/wLFpq+a3XArXzm54YOusVUgiooMH2/cA5VkSTpzURCHxqPLgTlW7Zc1pV1TziAaOedlY5odaULL3mMHtDIMReCirk/Pg+AvdcRDY2mxzsqfOHbYXvJCJvubDarfvzbUnnq2SINiQfKNHl50u7VZ6XguGPEds+5RSEo14V9zLYcc3H4JiPMtu5w8zZ7vBM61PuTMV3a5e27t3ZJRPXtd0nNLX+PqlocU7nYANPbDKzLnCPbKkHxHsuImJaZqW47azJknna8P53LKUE7h7TDi3n++CwAaaG2X0vv/buU3HaDBMx0xsjPE295221qkX0cs9dAtb9ToaY///nPWmWn8ePHa5eioqLwbV5++WV5++23ZenSpVL/v4OWajCbm5sr9957r/YTQGJiNghdNviLeTgGB8WNH3+aVAAq3Lrlb3dL0VWXt3nboL4MdWFhUvcNZ/DtsqM0ffZlUvPI3XUny5bH0eKMAYJVVYnPx2XrwLQ/Hv3ZHAbHZvrwUlBf4akl+rAUB8yAtNLa2Rit3KZuX1sbsyPDltz2XaBTfePt5gNQSmOjNo+0hqBSXAkq5nvHZZU2PfoWUrSMyIwsqDKXMEJQ8Tkk+Obt3MmS+XhKS4zdzqrKDzZ9Pl0t3nPupnWgmx6Lk6U7GOGUgArjOedyynvMbDU1s2iHBziSp6hIciIyH0CyHLXXYPDgwfLss8/K5ZdfLqtWrdL+VlNTE97YX7lyZUxoo127dloAatiwYRlaagC2ZnLnVmDTZkvuvu7J57RLojwF+ZbcP+yt3bOPy5ZL/yrNP801Nb1vyPZS9vB9li+XE+X07mnJfLzdu4mrpLvKiy4E5ck12g5PdzujoQpCUEBGBOvqpPKM86RhwjsJhaBi2LXypcuDCoHlK5Ofx4rft9dtx7J2eF5XB02CRisVuP15cWybHvcEOOK29rZrJY10cshrnn/4IVJdWmru5JP/Ue1V8w49yOS6zGgIShzxfLoalaCQDiZPhDXbIst0MDPd3F7x1M2c8h5L8zow5j1sdHOdbRsAcBXHHQkaOnSoTJw4UV599VV58803tapP8UqXdurUSWt/N2bMGO06AJPcvqGuezyGSyHrNxCLiyVn8KA2J2ue9Z1YgXZ42SGnX1/p8M6bmV4M1/SWLjjtJKl/+XXT8/D26ilFF5wtrpbqA/kmQ0kxbeyMtsPTHSTz+NxVuQNI/wF5Y5PVvfy6NLw5wb3jHZeHoILxdv62tQ2gnoPI6VL9nJjcRvFYNPZ33Q5xq1pIue15STdCULHihKDU+M5Fj9DVcrbqI+XTP5H6N96S4JYqUxWg8v90jPgGDjA2AZWgnMsb5zm368F8K/Aey47vWX37PZu+p+OO/eEI+rCPJ+Cu7VLT9Nt8JscDdq20CQBwaQhKKSkpkfPOO0+7rF+/XhYtWiSVlZXi9/ulrKxMevfuLX379s30YgJwIpMHQlTbsvLPP2hzsoZJ70rF0SeaXbo/7s9A4ApA9IZru5eelhWnHq+1olRtdvsPMLgzXWvJlK9V1vK4rbVuug/kN0WHlww/n2YrVOjDUi5rXwTYlX/efEvmk7M123QZoRvnls/4VHKH7dLqJE0zZsqm3ffPXDAsxe3wXB+C0j8es5WgOFCQHJcHLE2JN3ZLpsKgS8S8NWz82fNtN1hKbhnsrECnjZ9Pt4pbecamgRFHtIKCLUNQtn1PE2p3rpiKRw55j6X6e9bkZy82EMjKGgCczJEhqEidO3fWLgBSxO07g8xuAOt3phncQMw77GApvOBsqXv+FZH6eklYYaEUnnmqNh8AifP36ilNXbtIMDdX8oYOzfTiZF6a1+lB/UEroyEofQUnw+3wdOtq2uEBaRE0M8bRKTj9FMkduZvYktuDCmYCP2bPtjXL7HNu8rWLqSzoslCtx2wLqZj2KS7bVkw3KkHFSrIdnvrsBisqEr9fr1c87dvbtwKAm1/zZFAJyrnijDWCbqpo4raxolOlPQTlSXsIKlBRIU2zvk8sMKy/LetAB3/v2XRdk+kQFCe+AEBWcsyRoLPOOktrb3fwwQdLYWFhphcHgFuk+Wxw1dKp7PF/S+kj/0po521YTo7rDroAyCCzB4Pr62XLeWOlfvxEkbo64/enn3+q2+HpbhczHwCpWUfURYegCs45U0puuMr43bZvJ94OHcS2CEFl/jkxuyOdSlCWVk+JaSfotucl3QhBxfDkxAlGGHx/1r/2hmy56P/MhaDUx2JAf2n/9mtaJSM4gz6Iabh6LO1vMi/rKkHxHssI0+NAZ1SCapr1nWw+4AgJViXefjQK4znncEq1sXTTf0aNPi9u3+YDgCzjmCNB06ZNk+nTp8utt94qo0aNkmOOOUb23HNPNkyBVHP7hrpFB0Lilu5u7W7VgQbCTADsxuAqsO65l6T+pdeSvjtPrsGhqNkKFfoDH4SggPTQVYLK6dpZcvq5t7VdTBDE6czs/DV7tm26EYKytoUU7fCs5faApWWVoAKGgvBbLrnSdABKu5tFi6X6htuk/VvJj3kt5/b9NFa9X4y2v+H5zLx4z7mb14G8x5x1godD2uHVPvJE8gEoN45z3cwp22CZrgRFZUgAyEqOOhKkBpx1dXXyzjvvaJdOnTrJkUceqQWitt1220wvHpAd3Db4M7sBrD8LiA1EAA6kD5MbPZDfPG++Jfef06e3sRuarAQVczt9Wz0A6WmHV1AgbuL6E3HMtDgze7atYytBuew9YFUIim0ia9ctVIIy3Q4vsHadBDdtSvru/YuWiC25+TVPhn4dRKDTObKsEpTrx5J2ZdH3rNETYU23GzZJffclrahIfNsMsGJxkAYx22l2XW+me9zCiS8AACeFoJ555hmZNGmSfPTRR1L1v0T7hg0b5LnnntMuAwYM0NrlHXXUUdKlS5dMLy7gHnY9g8AqZgfdDIoBZPM60GgIqRX5Jx8vvmG7mApBNbw9WQKr17Q5WaByS9TvtMMDkltH5H89QzYMGNrmZP5Vq6Nn47IQlJurtcQNwzqgHZ7hg4lml1N/IN1lFV31Lcf8q9dI/X/HtTldYPnK6D+wTWQp11WZMyPOZ6324f+It0P7VicLrN9gyd0bbqcGR1eCIlRmAy4PQbE+t4l0h43T3apM953laddOPKUlhifP6dlDim+/0X3bbm6me495WNfEb49ruB2eucAjAMCeHHMkaI899tAut912m3z22WdaJahPP/1UGhoatP8vWrRI/vnPf8r9998vu+22m1Yd6uCDD5bCwsJMLzrgbDEbeuLyDWCD0xGCAuAGFh0MLjjlBCm67krDd+vt2FFyenQ3fXC26atp2iVhLjtoDaSbp75e/IsTr4rhKcgXV3FxCCruwRna4cXsOHfdDnHd4/H/PE8qTzoz8fkQHEgOlaBixAuw197zr8TnU1oqHRfObvN2jZPfly3nXPzHH1JctcM0F7/mydCvmw1XXeH5zDiPy0NQMXiPZYbbQ1C6+Rffer0UX35Jau8TmZXu95jL2+HFBFbdts0HAFnGMSGokLy8PDnooIO0S01NjXz44YdaIGr69OnS3Nwsfr9fpk2bpl1uvfVW7XZHH3207LnnnpSaBRCL8qgAYCIEFb0O9HbtIrlDdkjdqrq42Jr5FBVZMh8gW3g7d7JmPt26WjIf2DgEleZ2eMG0t8Nz+Q7x3FxLZqNv+4IEEYKKpUJQ6vOW5DrF07Fccrq2/V3kKe8Q/Qe7VoJy82ueDN06KLBsuTRM+bDNyYK66rGuW8c7QZzn3HDlDifQr875zGaE/tiQ4cy+Q0NQhlpaw9kIQaX2eA/ragBwNMeFoCIVFxdrLfDUZdOmTfLee+/J5MmT5fvvv9d2itbV1Wkt9NSlU6dOcuSRR8o111yT0mWqrKyU1157TaZOnSq//vqrFtQqLS2VQYMGyaGHHirHHXecFuRqiVpuFeoaN26czJs3T2pra6Vz584yfPhwOe2002To0LbbTwCWyrada4SgAGQTk+v0oL4dXooPeuYfeajUv/x6UvPw9uktviHbW7ZMQDYoGH2U1N77oKnqTyG+oTtI3qEHiatQCSqW/uvErs8JJ0DElTtimCXz8Vk0n6zl5nVLEpWg8vbbWxo/+Syp+eQfcqCx+9ONaWmH5zC6dXPjh59ol4S5fb+XHSVRCapp1ney5byx0vzLgsTv1+OR3B2HyP+3dx/wTdXrH8efdNKWtuy9lCkCToaAExTBiesiKBfcigLOK7gAEfV6cYvKdaCiiHoRUBCU4QAFEUUEGTJlz5bZ0vl/PT//JyZpmqRp0qzP+/XKq0l6zslJ2p6e8f09T8aE1yShZQsJmlg7txquKjoYUcEBlRL/swinR79ICUFFyucS5cd8ABBrIjoE5ahatWomJKS3HTt2yOzZs02VqGXLlpnqUHv27JEJEyYENQSl1afuueceE8hypI+t6lQTJ06UV199VRo2bFhi/tzcXBkyZIhp8+do27Zt5qZhrqFDh8ott9wStPcAxBxaYgCIZQFqhxfsk2uV+lyt5UDNRYzivPwyzx9ft7ak3DxQbAGqdAHEirhataT68kWy5v0PpfDgIUlIiJfGTZr4Pn9mhiR26iC2SpUkqpQjqKAXJwo3bfbrBLW2EQ1UZbxAh6Dc7QvrAJ+gVWP2uxKUl+WUJsovKiWecpJkTHhdcsa/LUXZ2WWe31a5sqRc30eSu58blPWLGVSCcitz8jty5KlnpWDNH/4FHE49SdIe9LFts2v7vXANQUX5z9xvgdo2c34nokJQB2+4XQp+W+n3S+cv+lEODbpHqs75XIKGUGtM/p+1hbgSFNuyGFDidyxMtzWhbofHwBcAiElRE4JylJycLBkZGVKlShVJTEyUoqKikuXyA2z16tVy++23m+pTqmvXrtKtWzezDtu3b5epU6fKH3/8YW433nijfPLJJ2YdHT300EP2AFTTpk3lmmuuMRWsVq5caapLaVWosWPHSu3ateWyyy4L6vsBYubkWsBGg0fZ5wIgNvi7DXSpBGVLCP7F4EpXXGZuACqWtpHM63i65Ofnm2OrSlSm9Vv+L79Kds/eUrRrt38LSEyU9GeflNQ7b5OgcXNxxqewv7tjBP2fEmYhKL9DWTFwQjzln/3MDSFECMqtuBo1JP0/Y0IToiEEFVE08BaQ5ZzcNiDLQRmUth/hhZ7vL08AypK/bLlUKP5mI/v/rK/7gS7nioPe4jHa2zfDawVLW3GYVoJy+RsK2kCZv1/A+bGvf3vsXwFAVImaEFRWVpbMmjVLZs6cKT///LMJPikr/KQt5S655JKgvf7o0aPtAagRI0bItdde6/T9AQMGyIMPPmiqOW3evFnGjRtnHlsWLlxo2uCpTp06yfjx402YS2kbv6uuukr69u0r2dnZMmbMGBOwqly5ctDeD1CqKNv5K9kP3s8QVJSNBgcQo3ythhflFTEAIBjVhI6Mftr/AJTKz5dD/3r0r8p2/3+sGGhuL86UJwQVbtyspy8Vq6gCiwoRKW0lo1l8XGSEoOBW8lW9Je2R3yV38hQpPnq0zPPHVasqqYNvl4TWJwRl/RCESlCubdr9VHzwUHhWsERkByMquhIU52liT6RUgqpgJauwUQkKAGJRRIegDh8+bFreaXho8eLFpu2dY4ghJSXFhIUuv/xy6dy5s8QF6Z/W+vXrZcmSJeZ+9+7dSwSgVEJCgjzxxBNmPXfv3i1TpkyR+++/X+L/f2f0rbfesk+ngSorAGXRylCPPPKI3HvvvSYI9fHHH8vAgQOD8n6AmDrxGqhWUOwUA4hE/p585eQagFjm5/5j4YZN5X/to0elaO8+ia9fT4LC3xCUu2mCeRzhdzs8PytWcUIc4bxfVuLvISBrE5NcKyqUCP6HCwIVpV70rDzqEXNDZHEbPvIlMJKXV+KpzGmTTQthTwq3bZcDl/f5+4n8fNlTo7Hv209ttXn6qZLx5jivr2XwNxubFRdd9xeD/D+F0H4MquignZ9K/KlVcDs8Xwe9l/wbYlsNAJEs4kJQubm5Mm/ePJkxY4Z89913pi2D4z8yPWjq2LGjCT716NFDUlNTg75OP/zwg/2+pzZ1Gmw699xzZfLkyXLgwAHZtGmTCTdpqOn7778305x55pnSsGFDt/P36tXLVIHat2+fqXpFCAoVItoP1GmJASCW+d0Oz+XkXULE7VICQOD4elL1/ysHl5ubC34BE4uVoLRaiLcwb26u52oxQCj3y0osJsqO2StSiXZ44XkxMerP0yA26f6Gw35IsQ+VO4rd7BNpOMlbMCm+cclz78X790tZ5M36Sg4NfUCqfPSe94nDcZ8oFvn5f9Y1QOHzJreiAyqcq449boJ2uVM/83l2W0KCJLQ/VeJr15ao2m/xt+obf0MAEFUi5orV3LlzTas7DUBpEMp1B1TDRBpA0pZ3dev6MAIjgLTCVPPmzWXHjh3SpEkTj9NmZmba7x88eNB8/emnn+zt+7QVnqfXad++vQlA/frrryZI5bg8ABV4AOxyMobRNQBiahvoMoLRddQ8AEQ1P0/aFuc4B2kyp34oyb16eJ6poEB2p9Z0Xs6xYxIRIahgXugJYCWoPel1yv767PsjjENQCGQIKkIqQQFRGILyZT/CXQjKlpTodT5b1apiS0+X4kOHpDwKlq/wb0aCi6Hhuv/m67bU9XeRdngIFy6VimzFxXKgd8kuNR6lpEjVr6ZLUpczJGr2W/z92yNkDgBRJWJCUIMGDTKj2RyDT1WrVpWLLrrIhJ/atm0bsnXr27evufli3bp19vtVqlQxX//44w/7cy1atPA4f7NmzcxX/RzWrl1rQlFAUJUY7RLlO3/+HgBzIQRANPC5ElSB82NOrgGIJf4GFVyqCcWlVxZboucLdcVaaU9fz+E1ivP+qoYcFG5OEPvUBiCS2+H5g31/hMm2xW17j2g/Zq/Idniu+7xhKurP0yA2+HPR2t0+UVKST9VP0h4bJofvGy7l4kO1KoML6zHZDs91wKwv1c3KhXPVMScgAxJzciRn3H+DG4JyVdGVoLjeAwAxKWJCUNbJnaSkJDnnnHNMu7uzzjpLEiKo/cquXbtMCz8rwNW4cWNzf9u2bfZp6tev73EZder8PUpV5yMEBZQTO8UAYpm/Jx4YYQgglrlsOwt+XSG50z73OlvR4SPOT6Sk+PBSNu2r7hygCmI7vOIob4cXp+1x9BxCOYMN8Y0bBWydgFKDLL78DRGCislKUCXCb/zMEatBULeVoLyHoFTavYOlUp+rpHD9Bp9XMX/hIjk8fMTfT1BdJDZDUL6eA3b9n1LB7fBstG+OevHNmootM1OKDxwo13KKdu6SoKrobaC/laC43gMAUSViEkSnnHKKqfjUq1cvycjIkEj09NNPS37+XyNUtIKVtrdT+x16jms4yhOrepTKzs4O2roCMXNyjRAUgFjm7zbQtR1eAiEoALEr540J5lZWtkqVfJsuKUmKHUJQ7i74BYy7Eeo+7OfaIqQdXlx6ulR+cuRfFzD//9i8rOKaNJa0Yff6NS/gkcvvsdsqTwiuCAlBhWPIFAjJRWt3/8u9VNl0FF+/nrn5qvigS/s8f0NQCAmbv/9n/T03XsHt8Ipd/2dxrjrq6XFilc8+kp33DZe4nbvEJjZJ1gE0Xmhoqmj3nr8fHwvi8WUkt8PjbwgAIlrEhKAmTZokkezDDz+UGTNmmPupqalyyy232L+X63BC29tOilbCcjcfUGEIQf2FEBSAaNyk+7gNLNEahEpQAGJIQNoO6HJSfAtBSZLLxbyghqD8rATlZhq9sFRhRw5leKG0+4ZI6u03SeGu3WV/mYQEiWvYgNZTqKBjUx/moRJUbIagXPEjRxTQ1mGOW7QD1w4UW1qqx3mKc485PxEfH7D9NLdKtDfzM9TCdjo0/Dz/EagQVM7b70ne7Dm+zauz16whqfcNkeSeF/g2A+eqY1LSmV0k+78vmeILiYmJ0q5dO6/z6O/iwRtutz8uPuayLQ22IG8DXRefv/gn2df+LK/zFf6x3mU5bKsBIJJFTAgqks2ZM0dGjRplfzxixAipXbu2/XGBw4VEx5CTO47fd5yvoq1bt85eyQqhYVUV06/Lly8P2utU2vynZDo8zsnNDerrVbRKW7Y4v7+cHJ/eX+XduyXN4fH+7CzZHEWfCxCtKmrbGSnSdu+Wyg6PD679Q3a8/KrX+dK3bnfaidy2Y6fk8HkCUYttp7PKDes77Qf6oygjXX4/ckTEh8+zhs0mjpfztr36Xyn44kufX6uwYX3J69LJp8CqjiCu6fLcyt9XSXFlz+84bsfOkvP99psUp5X3k3Ivcd16qebwuLCwsOJ+N7OzKuZ1EHPbzWrHjolj5HHL5s2S623ewkL5++zSX9asWSuF+UEe0R+l4tdtkBqOTxQXy/Jffw27wELajp1O+/AHDh6SP/n/jAhXU4rF8UxzWdrUWYoTE4K6P5C0ebM49nDIP3bMp9dL2rDRab489qlDIn1/ljjG6vbt2SubfPg5ZGYfEMehC7t27ZYNPsyXkZ0tjs2vi/ftl4J9f3cE8cWxbxfIni+nSXF1xz1f96rn5Dqdp9m8Zasc4/csJpR1v7PSrl3O10MOHAjqNsn1OkpWdnZQr6Ok7Ngpjr2Eig8dkoKffi7zcnbs2iVH+RsCohbnOsNHUZCqZYZdCGrq1Kn2+5dffrnb58vDcZkV4csvv5R77rnHnJRV/fv3N239HFVyaIOgf2yeglB5DqN+vQWmgknfj/WeUPHi9u2XjMlTJHFd2U8I6Mm7vFbN5dA/++ovkdfJEwqdw3bFDv8cokGCy8ZVR3H58v6KXEKI2jkkmj4XIBbwN6s7mM4jGpOWLjO3siqw8XkCsYK/dZHsm/qbFgLJPy8Xmx/HRAW1a8rB22+UfN2z9uHz1At6jlI/+rTMr3m498WS/dD9XqeLd1NlKr+wQIq9rGd8QcnPIT8vT4qDdMwa57I+0XaMguji6++ma1uewoIC7/O6GRxXUFggBfw9+MVda6R8rcKeEF6nTwtdz9MU+3YeAwhnRZkZEnfkaLmWUVilSlD/FuJc9vt8PYcY72Zbzd9sxSty2cYXFRb69HNwbTNX6OM2tyDdMa7qH1tBocT9tlJydUCDNy7rWeDj7yeiiy8/8wTX4gbH8sr0u2I7dEjiDri0B/VAj51dL3YH83czwcsAHl8VVE7jbwiIEfytR6fwOooXkQcffNCUGdSbY2DJer48XJcZbB9//LGp+mRVbOrdu7cMHz68xHTaHs9y7Ngxn0NQvvT3DZb4+HgqQYVQlcfGSPKiJX7Pn/LNAknMPiiHht/rddqEuPgSf0daWjVaJLiczPT1/cW71FCOS0iIqs8FiIUdWv5mReIC9BnEJyXxeQJRjG2ni8REOTJiuBwp72J8ndBh0Iy/0j6fLUeG3+d1EEScy76/SkhKNu/Z43xulpsYnyDFQfp9ifdzHx6oKP5sN7UVlKP4uDgf5i15niwhMVFs/D34Jd7NebY61/zT935z8XGSd0o7OXT/UJFUx/ofgRXvep4mLp5tICLe0ev+IRn/fqFcy8i57h9B/VvQ7asjW3GxT6+XEO9yDt3GPnUoxLlURY2L823/0fWSlO6H+jLfscsvlrRPP5e4Q76HRdxJKCzy7ffFJeQVn5jI71mMKOt+Z1yK8z5KXMFfrfR8kf7ks5L64Sd+rKXD6/m0j+u/wrO6SEGDepKwdbv/y6hTWwq6ncPfEBDFONcZPjQcG4zCO2EXgipt5JWn58PRyy+/LC+99JL98ZVXXimjR492G+TKyPi7OGN2drakp6eXulz9vqVaNe9lUIOlWbNmUrly+UczwD+71643o53Lo/L8b6XJm+O8Tpdbq5YcdHickpLiU2/pSJGzcrXz+0tO9un9HaxWVXIcHlevWUOOi6LPBYhWWtpUd3B1xzaatmX+yu15gRx4/a1yL+e4yy+RxLZtArJOAMIP287QOnjh+ZIz7r/lWoYtP1/aNGkicTWcGj2VUJBWWfa5PNf2pHZi8xLEKty+Q/a6PHfiia0lrqpj85fAyduXJVkuF6P43USkbzf3paaKY62Qhg0bSoqXebVK226X51q2bCkJLVv4sdYoTM8osS1L+HNrmZaRsHGz1GjcWNKffUqC5XDtWk5B3MwqmdKYbSAiXbt2srLD6WJbvVYSEuKlYaNGZZo9oU1rqR3kY9Jje/bJ32fmRRLj4nzaxudu/FMc66AkJ1divyUEDtao7nwut1o1n87lZqVniGOt1Dp160qaLz+/du2kqGtnyVvwgxRrVUEfHf7Xo1K05e//PY3r1pFKPrzenoQEcex3cFyzppLM71lMKOt+57Gde5y2ZfHZB6XJuDe8zlewYpXkL/yhnGsrUrV6dWkS5N/Not9+lLz530rxAccrP76xpVeWpHPPknohvP4KIPg41xk+Dh8+LGvWrIn+ENSdd95ZpufDMa2m1Z8mT55sf05b4GkFqNIqWTVp0sR+f8eOHeZEV2l27txpv1+vXr2ArTciS6VrekvOa2+WaxlFu/fI7sq1A7ZOUcPXsKVrKpXKaAAiUPKlF0na449I7qSPpdiP1gNxVatIyqBbCEABQBCl/2eM2DIzpWDJUj3g9GkebduR/80C5+eOOl72KYW75fuyn+vuWNfHdQ2E8laNBsKC6++xL8em7qbh78FvtmpV/9rmlXP7la/b6zIozsmRoqxs36c/WL6qIkC4KmzeVPKbNDIXo7yFQEPBtWKfz+cQXadjOx05/2fL+fOLq1lTKvW+VMri6H9edApBFR8r2a7aLc5Vw0e2ZJcqvkePSk4ABkj6KqFFs6C/RlyVKmX+2wMARBdCUAEOQD3wwAPy2Wef2Z8bMmSI3HHHHR7na9q0qf3+H3/8IR06dCh1Wv2+dZK3efPmAVlvRJ70F/8j29ucIHGr1phSvnXr1PE6T8H6jZL75jvlf/EoO1B3vWBSuH2nHBr6gNf58hYucn6CA0sAEboNrPzwv8wNABCebCkpkj5mRJnmMdVhkpyrMBUfPRq8EFScm2OEYFZyjqAq0YDPCEGFXFxmpqTcMrDcg86k0PcQ1eHHn5Ijo/8tkufjRW53+JkDFcNln6jY18AkIaiYDUH5w+bSmrX42DHfZnT9fXRp/wdYbA6daSpUfLwk9eguKXfcHJrXBwDElLALQUUyrQBlBaC0r+2jjz4q1157rdf5TjnlFDPCRcuuLV68WPr16+d2Ou2HuGTJEnO/VatWTm30EFtsiYmSd2Znye/U3vzu+FKCVw+Yjn00RYrL2Yc8vknZylGHPZcD1+L9++XoC+PKvhhCUAAAAAij4wXRW36+/bkjTz0rcbVqepyvaN/+kk/6sJ/rthJTEINKxVxMRDTy9+IsAir9leck5eaBUrj5T5/nyZsz37ltqY/BiMIdO+XIo6Ol3NgGAhXDdZ+oyM8QDSLr/6zrNj3Y29ykROfHvoZkXdfT3SAFQC8Kt2sj8c2aSuG69eVaTsZ7b0ilqy73fYb4+L+OUwEAqAARE4IaNmyY+XrRRRdJ165dyzTvtGnT5O233zYnSvV+MEyZMsXeAk8DUE8++aRcfrlvOwAaZurUqZN89913Mm/ePNm+fbvbVnczZsyQ/fv/Oinds2fPAL8DRDsdRVL52Sfl0J33ivg6gsRFXP16kvbYcIkqKSnhtRwAAAAgAGxpaVKc/Xd7pdx33vdzQTa/pvG5OgKAv1AJKizoAKfEU082N18VZx+QHD+2f4UbN0kg6IVMAKEIQfm5r8N2OjQitBJU0c5dPgVztRKs03IYsItS2OLjpeq3syV3wkQTyC7z/ImJktTtHEnu1SMo6wcAQEyFoD799FMzurRFixZlDkHt2rVLVq9eLSlBCins3btXnnjiCfvjf/3rXz4HoCwDBgwwISitBnXPPffIG2+8IZUrV7Z/f926dfbXSEtLk6uvvjqA7wCxIvWmAZJyXR9z8FRmcXES16B+1B1AJXXuKLaqVaU4K8v/hcTFSXKvCwK5WgAAAEC52DIznEJQfklOdl/lyZW7Y4RgFj1wXTYXExEFSvytEYKK/mBEAMKiiZ07SdrQO8q9HABB/FsvEaIJ3CqhDEr8nxX/fn7BPjfuEoI68sQz5lZmtMODB/F160jasPtCvRoAAARNxISgykMDRG5L5gfIO++8I4cPHzb3tYJTgwYNZM6cOV7na926tb3ikwa7evToIbNnz5ZffvlFLrvsMtNKr27duvL777/LpEmT5MiRI2baBx54QKpVqxaU94LoZ6tUSeKbNA71aoSNuBo1pNrCryTnnQ+k2F37D29SKkml3pdIUtfOwVg9AAAAwC/Jl/SUnJdfL98yLr7QtwkruB2eT68PRHqrdtonxVwIylalitTY8Jvvr5uYKHEOAygBBJctYCEo9lvCIWzsc9XSCq8ElRSYBUXZQGYAAICIDUEVFBSYNnJHjx4tdZqZM2fK2rVrfVpeUVGRbNu2TZYuXWp2cmvXri3BqlJl0VZ2gwYN8mk+fa9XXHGF/fHTTz9tgk4LFiyQrVu3yjPPOCf89T3ceeed0qdPnwCuPYCEE1pJ+lOjQr0aAAAAQMCkP/uUxDc9XgqWLfcrkJRwQktJufNW3yZ2dzEomO3wCIcgGlEJKnIFqhJUQrzEVa0auPUCEFiBCtEgNCKkHV5Cy+ZyLADLoVUqAACIZWEVgkpISDCVkTT8467kvo6CW7FihbmVhc6ny+vVq5cE2v79+2XPnj0BWZa269M2eJ999plMnTpVVq1aJYcOHZIqVarIaaedJv379zdfAQAAAADwxJaYKGlDB1XQi1VwJSgqKiAauf4eFxZKcUGBx1ncfd+nFpYIrDhbYCpB0boIiM7Aoyu206ERISGo1KGDJG/hIsn/ZoFf+9O2jAxJe2yYxNcJTkEAAACASBBWISg1YMAAmT59uqxZs8bt9/0pB24FoO644w4JNG1LV9q6+kPX9dJLLzU3AAAAAADCnrt2G1Q9AMrG5aLqoduHmhsir0WWr9VhiotctpO0LgLCG+3wouvn5+u+quvPOcg/v7gaNaTa/C+kODfXaxjaHVtKCqFaAAAQ88IuBBUfHy/jx4+XzZs3OwWf/vnPf5qAkLaC69mzp9fl6LRxcXFSuXJlqV+/vvkKAAAAAAACLNTt8LiYCPyNv4fQf+b+tsMjBAWEN0JQMVkJynVQfkX9+GyVKgm/KQAAAFESglK1a9c2N3caNWokHTp0qPB1AgAAAAAAbtAODyi3+MYNJX/hD+VbSFKSxNWqGahVQrCDEYWFnpcDIDpDUIjsdnhsqwEAAMJeWIag3HnyySfN17Zt24Z6VQAAAAAAQCmtoAwu+AFlkjbsXsmb/60U7djp3wISEqTyE4+JLTU10KuGMgcj/GyxxIV1IKzZ4vys+ua6HMLbkR2C4ucHAAAQ9iImBNW7d2+nx9ouLzc3V1q2bFli2kWLFslPP/0k3bp1kxNOOKEC1xIAAAAAgBjj5mJQMe3wgDJJaHOi1Ni6Vgo3bCxZIcgHcfXqSlx6elDWDV64hpd8vbDusp10GygFED7c/I1qqzRvoSbXdmrst4QIISgAAICYETEhKMv69etl1KhR8uOPP8oVV1whTzzxRIlplixZIuPGjZNXXnlFOnfuLCNHjpQGDRqEZH0BAAAAAIhqFd0OD4hSGoJJaNY01KuBCmqRVSIsSggKCG+lVb70Fophlyg8EIICAACIGRF1dL106VK56qqrTABKR1Bs3LjR7XRbtmwx39fb999/L3369DHhKQAAAAAAEGAV3Q6Pi1EAwohrBSefK+ERggIii7v9DV/+3tlviewQlGuLU35+AAAAYS9ijq4PHTokQ4cOlZycHBNuyszMlPbt27ud9oYbbpC7777bVH/Saffu3SuDBw+WvLy8Cl9vAAAAAACimr8XBf3FxUQAUVAJqsR08RFzmhaITe6Civ7s77DfEiYZKD8rQRFYBQAACHsRs8c2efJk2bNnj+mx3aVLF5kzZ44JOrnTqlUrufXWW2XmzJly4YUXmuc2bNgg06ZNq+C1BgAAAAAgytEOD0AsC1QIigvrQHSGoAhvhwfa4QEAAMSMBIkQ8+bNM1+rV68uL774oqSlpXmdJykpSZ5++mn5+eefTYBKQ1FXX311BawtAAAAAAAxgnZ4AGJZgEJQrm31AIQXW6BCUAgNl/3F/K+/k6wLL/c6W8Hvqz0uBwAAAOEnYkJQ69evN1Wgunfv7lMAypKcnCwXXHCBTJw4UVavdtlhBQAAAAAA5ePmYtC+th19v0hks0nCye0k893xktCqpR8vz8UoAJEXgiqmEhQQWdz8jerfsde9EMLb4cHlcy/atVvyZs8p93IAAAAQfiLm6PrIkSPma506dco8b61atczXQ4cOBXy9AAAAAACIZW5DSIWFIgUFvt3y86VgyVI5dNd9vr0gFRUAhBFbnM2/SlCFhKCAiOJvJShXhGhCwpaZGZDlxGWkB2Q5AAAACJ6IqQSl1Z8OHjwoO3fuLPO8+/btM18zMjKCsGYAAAAAAMS2uPr1pGjb9nIto2DF7z5NV0xFBQBhHIwoUeGpNFSCAiKLm7/RA9fdJLakRI+zFW7e4vwE+y0hkXz5xXLkiWekOCvL72XENWwgSd3OCeh6AQAAIIZDUC1atJAlS5bIvHnzZPjw4ZKUlOTTfIWFhTJ//nwzMvW4444L+noCAAAAABBrKj85Ug7ecPtflZ38VJyfH9B1AoDQtMPzsVodISggsrj5G837bGZIVgVll9D0eKn+y0I5NusrKT78V9eRsoirkilJF18ocdWrB2X9AAAAEIMhqPPOO8+EoPbs2SNPPfWUPProoz7N9/LLL8uff/5pQlBnn3120NcTAAAAAIBYk3L9tWaEfeH6jT7PU7BsuRwceNvfT+T7GKCiEhSAsA5BUQkKiEa2tNS/9jnK2ZbXVjktYOuEsolv3EhSb70x1KsBAACAIIuYENRVV10lr732mmmJN2nSJNMWb/DgwdKqVSu3069fv95M//nnn5sAlLbCu/baayt8vQEAAAAAiAVx6ekSd3I732fIywtMJShCUAAiMATl2jbPRggKCGtxGRmSfEkvOTZ9RrmWU6nfPwK2TgAAAAAiOASVnp5uqj/dd9995rG2uNNbzZo1pXnz5ibkpDQktXHjRtmxY4d5XFxcLPHx8fLEE0+YZQAAAAAAgDDg2ubeJRRVqnJWYACAsKwEFR8fuHUCEBSZH06Q3E+mSuEG3ytf2sXFSeIZHSW5+7nBWDUAAAAAkRaCUhdddJHk5eXJyJEjJTc31zyn7fH05krDTyo1NVVGjx4t3bt3r/D1BQAAAAAA7tkSXU5JFBaaY3mt5uwR7fAAhBHXCk6uFZ58b4fHtgwId7aUFNMCGAAAAED4irg6y71795ZZs2bJwIEDpXHjxuYEqbtb1apVpX///qYdXq9evUK92gAAAAAAwFMlKOVvSzwAiPRKULTDAwAAAAAgtipBWerUqSP/+te/zG3btm2m9d3+/fuloKDAtLxr2LChNGnSJNSrCQAAAAAASmFLTCzxXHFentjchaOcJqISFIAoCEEVFnpeDgAAAAAAiI0QlKP69eubGwAAAAAAiMFKUGSgAISSa3ipsFCK9u71OlvxocMe2+oBAAAAAIAYDEEBAAAAAIDIY0sseUpiT52m3is7uVZPAYAwC0HtqelHhXpCUAAAAAAAlFvEh6CKi4vNzfW5oqIi0x4vJydHsrOzZeXKlTJ16lR58803Q7auAAAAAADAQyWovLyyL4d2eABCKVCbIEJQAAAAAADEXgjqyy+/lA8++MCEmo4cOVIiAAUAAAAAAMKfrXJlsVWpIsXZ2eVaTnz9egFbJwAoq/hGDUXi48tdpS7+eD+qRwEAAAAAACcRNcToueeekyFDhsjixYvl0KFDptqTVQnKlxsAAAAAAAgPtvh4qTz6kXJVcrKlpUnaww8EdL0AoCziMjMlfewYkdRUv5eR0K6NpD14b0DXCwAAAACAWBQxlaDWrl0r48ePN/ddA022/z9hWtrzCQkJcskll0jXrl0rbH0BAAAAAIBnqYNulUp9r5HCjZvLPnNcnCS0bC62lJRgrBoA+Cx1yCBJuf1mKcrKKvO8toQEiatePSjrBQAAAABArImYENTHH39sQk4abDrttNPkwQcflJYtW8off/whV155pQk6ffvtt5Kamir79++XRYsWycsvvyzbt2+XgoICadOmjfTq1SvUbwMAAAAAADiIq1rV3AAgktmSkiS+du1QrwYAAAAAADEtYtrh/fTTT+Zr5cqVZdy4cdK2bVtJSkqSE088UTIyMqSwsFAWLlwolSpVknr16skVV1wh06ZNkxYtWpjw1DPPPCN79+4N9dsAAAAAAAAAAAAAAAAAEKshqJ07d5oqUOecc45kZmY6fU+DUGrp0qVOz6enp8vYsWPNfLm5ufLRRx9V6DoDAAAAAAAAAAAAAAAACL6ICUEdOnTIfD3uuONKfK9Zs2am2tPq1atLfK958+Zy+umnm+8vWbKkQtYVAAAAAAAAAAAAAAAAQMWJmBBUSkqK+ZqYmFjie02aNDFf169f73beNm3aePw+AAAAAAAAAAAAAAAAgMgVMSGoKlWqmK979+4t8b2GDRuar4cPH5bdu3eX+L7VPu/AgQNBX08AAAAAAAAAAAAAAAAAFStiQlCtW7c2Le2+//77Et9r1KiR/f7y5ctLfH/nzp3mq84PAAAAAAAAAAAAAAAAILokSITo3LmzzJ49W9atWyfjxo2TO+64w/69xo0bm3Z5ubm5Mn36dOnevbv9ezk5OTJnzhxzv0aNGiFZ92hQWFjo9Pjo0aMhWxf8paioyP5Vq6ABALxj2wkAZce2EwDKhu0mAJQd204AKDu2nQBQdmw7w4dr5sQ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yMOfe6CHSVyel3+7B6dLWVg8ieRW4U4ic35djxksP/Tz9fidelZxVranJ2/NCdDi/n36Wt3MKOtNTz26Jeb90unVKfs11BMhfNms5YckyZFuRJAzC8h4AQGuBBT3Nm5fIlTxlyhQCnoCI8SpNqVF5O8ubfSZWc2/TNulnf8gu7fTbH0t/eF66+mzvzguw5eWNu29BT47Xu/WRXrwt/X4//4P08nu+nBIAAAB84Bybdu0kHXVg+v3u6ZH8mkxP4eF8C8aPNMuSMm1GctATWYbsOX93XTpKg/qm369TefvtADulzIP6WN4u6AV75/xgseG/jTleINrC8rAV5e0AIL8EFvRUUVGhzZs3q29fgzs/AKFmlKbU5c9MBk7OCVjjp0ktjgVvLV2VXcDTTotWZN8GkCtugZp+9kfOtstLpX32TL9fhaOUJH0mED18rxE1NTukd+dK22sz37dPhTR+hFQS2AwJ4D/TdRfn+NTvTE/wTspim+F+zvecLEP2UrLwGAZtOIM7GnkP0AZnnxxopief23cG+9kGPZGtDshfXj0wmo/fc9txWFgxhwQg3wU2pde/f39t3rxZ27ZtC+qQAAJiM+DJeXk7BmmB8+pXzluHfOHljXuxN6eUgj4TgKkopZlH4Vm9QTr0EmnJKvs2jjxAevl2Ap8QXrb9sfPe3DjTk93hGGfmgWLHzQdZhuzZBqQ43wMvHhBD9Lj1j34GmOY605Np0KDze8Z1BMhfNiXgwjrvELUHAGKxYH/vL74rXXGvtGxN5vuWFktHjZMeuUrq3iX99gCiKbDpvMMPP1yfffaZ5syZE9QhAeSI9cK/RXk707Fk1AadYeR8fzuUSUufTr/fjY9I9z3XdjtArtj0R64BnwHeQNIVAgCi6Jk3sgt4kqR/fSDNnCcdtI8npwQEzjbY3atMTwie7XvuzKbCe27PNtNTCYFnMOA2VxBopief5yq8yvQUhmAIAOZCE/QU4fJ2UmrQk59vQWOjdNaN0uZqu/3rJP3939Jtf5X+9yJPTw1AiPhYBTrZaaedpvLycq1du1bPPPNMUIcFEACbAY9teTubpwPctsvHcXLUOScDi4sTpUTS/XTumLxfXt7koCBZPa3k8md+LjJ4lunJm9MBkEcKLRU7om3dZo/a2eJNO0CYWGd68ug6wjjTnldBTwTc2HOWBjQN2nB+7yhvBzducwWmgXU2As/0ZBk0mHKeXEiAvGUzXrRdNwpaHp6Sp4IMMF2x3j7gqbVPlmTfBoDwCizT0+DBg/WLX/xC1113nW644QZ17NhRxx9/fFCHBxAgk5vkwMvbpWkH/rNN+57y5DHvHULM9WklH49nXXbE2Q7fOwAK0ROXKDjOj2GnDlK/Hun3+2Jt6oI1EFa2DwgFnekpak/B55LtJdg5H0PQk72UoA3bwDOuRXDhNv/lZ9CTk++ZniyDBp3XEeYJgfxls5YT9NypLdt1qrAIcm7Yq7Eo81NAYQss6GnlypU67LDD9NOf/lR33XWXfvKTn+ixxx7TcccdpzFjxqhnz57q0KGDUVsDBw70+WwBZMJmMOFZeTvLwSQDoOB59QRXJu/dKzOlJ16RttWY77NTj67SBSdQ4gRts+mPgi5vF/UbcAD2GAshyr52sPTX69Jvt/e3pUUrdr3me4EoMQ568irTE+PMnKO8XfBSHu6ivB085Pbd9LOrDfrhJ9vyds7gQsZvQLQEPXdqK+rZs4PM9OSW8fI/v5dK00QwPPaydM//2/WaIFigsAUW9HTUUUcp1qqXjMfjqqysVGVlZUbtxGIxzZ071+vTA+Ah2xJPJgMn26foqPeee9aZniwn4T9aKJ3w8+yemJz6mjT/CWlQX/s2EF1WTyu5/FkoytvRZwKRx2I1wsyr6xTXO4SZ7ec38ExPjtd87+zZLrZR3s47zt+dbaYnytvBjVv3GGSmJ7/l4uFIAMHyau40H7/nUX8AIKWv9fFYbus340dIxcWpf97a67OTX+fj5wRAcAILetopHo8rFou1BEDF6YWA0LP5Ggde3i7AQRrcWU9mOF6bft7e/DD7FPE76qX/fCJ946js2kE02Swy2PZ9XjG9/2YSEUCh+mCB9PQb9lkiz/ySNGJ3z08LaVACG7APgCHTU3jZvgeUt/OO8/uSbnGure14D+DGLQjVNLDORtBzp5S3A6LP5uvpWt4uD7/ntqWlwyLIuWG3cZDJ2pHtfQyAaAos6ImSdEDhMBnfBV3ejgX83PMs05PhZGBdvdl26dQ3etMOINn3fbZYjALQFs8mH7M+k/yxoEo67FKpts6+jd9Pk+Y+LvWp8Oqs4CcejAAoE1SIyPTkHdt5DsrbwYTb4m2U7ults/k7cd0CwsMo01NI5x2i1D9LwT4glJI5s8js9xl0xloA+S2woKfXX389qEMBCJjNgMc2Tant06s8xZ17nqWtNjyec7u9B0tnfSX9fvc/J63asOs1g2W0xeaJnqBTNJMdD4CpqE3Q2fi/WdkFPEnSxq3SjErplMO9OSeY4cEIwLusP6b3P7ZPt/O9847te+4MeuKe115K0JPhPEdK4Bnl7eDCrX/0s7xd0P1zSqYnw0xpzt8B1xEgf1mVtwtLpqc8PCcv5TLTk23mv6i/JwDaF3h5OwDRYzPZmevydgiedaYny4h953Z7D5Z+cVb6/abNSA56YqyMttj0R0GXt7Ntm0BRAIWoZoc37WQbOIXMeRV8AUSJcdATZYJCi6Cn3LNdpHNu10jQE1zkuryd3zxb5PbmdAD4IMiH5YOWj+fkpSD7Wttyp2SsBdAaQU8AcsK6vJ1BOybHYwAUPM8yPRm+d9bHc7bDBDDa4NXTSpS3A5ALUX7i0pZz7LB7P+nYSen3e+ZNacOWXa+j9DuJOoJ8ESW2H1/bTE9OtsNMvnf2vHrPKa1mz7Y8l3Mxb9FK6Z/vmx93QC9pn6H+Zv1B7rkFoQb5nvvdP9t+f5i3g9921EkPvygtWJ75vkUxadJo6fQjmYNzY/IrCcu8Q9TnXHOZ6clZBrgtrPkBaI2gJwBZs1o0M2jHjfNGllJN4eFZpifToCfb4zkn/fmwwENun8NAy9sZ7sdNI4BC5Ozrxg6T7r8i/X7vzU0OekLwuN4BWZS3s7zfsv2+RG1BKJ+Y/mq9CnSDfXk752Lec28lfjLxjaOkv12X2T4IF7d+1s8uNOjumfJ2yFfn3So9+Xp2baxcL13+DW/OJ8w8e2A0D7/ntg/nh0WQDwg5M17aXg/y8XMCIDg5fx5kwYIFevPNN/WPf/xD06ZNy/XpAPBAkOXtbNM6c0McPOeg0+8sXUFnlkLhsVlgzfWNe9RuwAHY4/qWyrPgen63ocV7h0LkWaYnxpmB86q8HZme7NnOO5hmMGjPU69Li1dm3w7yF5me3PFgK/zU1CQ9m2EQqhsv2ihUZHrKD7nM9GRb7pRAfqCw5STT04oVK/Tggw/qhRde0LZt25L+7qSTTkp6vX79et10002Kx+PaZ599dOGFFwZ4pgBMWNVmDrq8nbOdPBwoR13QmZc8yyzFYBmG8rE0lO0NOAv4QOGhLJF3T2pG6XcSFp5d77w5HSAnbDOeBZ3pKaUdb5opSNbZvQh68kxKphrDRboD9vbm+Gs2SnsO9KYt5B+3+Sjbhz9NBL1gn7LIbVrOyPGasTe8VFsnNTRm38722uzbiAKbe2zbCiG5FrGYp0Dvlb0KegrD5wSAfwIPepo+fbquvfZa1dbWKu7ogWIuV7zevXtrw4YNmjlzpt566y19+9vfVufOnYM6XQAWTAZ4bjfpv3hAqujS/n7Op9hYwA8P68xLjteBZ3oy2w0FxjXNvEmWu6CDnhyvWQQGMrdhi7TeonRZx3JpcN/oPe0XZbYB0/SZuUeQL+BdAIzfmZ64LuaecyGJB33s2Waq+e6x0oIq6fl/SzvqzY+3Yl37x0e05DzTU4bbNzdnFizi3JbMHsgHNXWpf/adL0sdytrfb9EK6V8f7HpN/5zgVXm7fPx1kunJO7ZB5LYPbwCIpkCDnv75z3/qpz/9qSQpHo+rW7du2n///fXFF19o6dKlbe53+umna+bMmdqxY4dmzJihr371qwGdMQATXmV6mjbDoh3L4zH+CZ5nmZ4MJzM8e9KZyRN4KOjydizeAvbicemHv5Puf86+jYmjpBduk3p28+68vBL1CTobBM4UHjIFAC6LxwFneoI9r8rbXf2nxI+p3ftJt31fOv1I832iKmWew7S8XYn0mx8kfjLR52vSxq1tHx/RYvuwla1sspze8hfpN3+Ttm63P77tPCGXI3ipZkfqn933P1KXTu3v9+TryUFPZFG0R3m7/BDkvbJt5j+vHt4AEA2BBT1t3bpV11xzjeLxuIqKinTJJZfooosuUllZmW688cZ2g56OOuoolZSUqKmpSe+88w5BT0CeM43Y71CW2RNtbjp1sDunfBwoR13QmZdsJx9TtuOzAhehyfRkGfzHIjCQePo+m4AnSXr/M+mh6dLl3zDfp7go2Ce4MxWLJfcJUeofnP8U40xPnp8JMuVVZkMgzGy/B1499EHp+eClvOeG+2U7zvhijXTerdKJh0jlaTJfRJ1tORZbZDQoLEGXt3My7Z8/Xy5d82D2x6O8Hdrz0ULpPx9nHkzU1Cyt2mC+X+vA0p06lqffz/nddGauKVQ285KhCXrK9QkELNCgJyp2ALAQWNDTk08+qa1btyoWi+mSSy7RJZdcYrxvly5dtOeee2rBggWaP3++j2cJwIbNYCIWk06ZIv311eyOfeoU8+Mht6wzPVlOwtummbd90hmFxTXoyWC/oG/cyVoC2Fu2xpt2rvxj4sdU547SBSdIt/8gv4Ofosg5xqDPjD7eO8DlCWnTTE/enwoyZNtn7dEv+2PX7JC+WCvtNSj7tsLM9uEuW2Q0KCxBl7eznTud/4U3x9/dsG+ivF3hef7f0qm/zM1YvbzMLCDPuQ2ZnhKsKoR41I7fIp/pKcCAItugJyp2AGgtsKCnt956S5JUUVGhCy+8MOP9hw4dqgULFqiqqsrrUwPgMdMB3oM/kw7fz+7muKhImjxGOvkww3NyvM7HgXLU2WZesl2Mss70xOIXDNhmegq6vJ3J8QG4y9VkyfZa6XdPSyccLB11YHDHpX9I7dttF5UYOwTPOrMhT4aG1oYt0tn/K70+R2q0eJJ+j37SHZdKXz/U+3PLFduFF88yPdntBg+ZvueXnppYQF6yKrvjRe1619QkffC5tMEly0dbVq1Pfu13Fh4yPYXXxq3SRb+R/vOJeQYYt6CJIPta4/k3Dz6HU/aXzjjKbFvGb4Xn4Rdzd83plqas3U7OIA2CntzZzp3m4/fc9h40LLJ5QKi5WVq32Xz7DVuSX9tmemJclBvxuLRwhbR6Q+b7lpVK+w2TOhhk1APSCSzoacmSJYrFYho/frzKyjLPfdy9e3dJ0rZt27w+NQBZsr3pKC+TLvyat+diKmqTc2Fgm3nJNggpF5mempulxSvtFl526yN1NbyRRn7Ky/J2jtdkLcnO58ulGx6RlqzMfN/iIql7F+nnZ0olhmn7Jam8VNpnqFQS2KgdOzn7/8F9pYV/S7/fP/4jnXZN9sefvyzYoCdTKeXtcncqnnO+5wTOhIdXT9lyvQuP3/xNevk9+/2XrJLOvVla+3epNCLXWNuFF+tMT5bfF8aZ3rHt+4YOkBb8VVq0UqpvMNunqVk64LzkP4vS0/QNjdKxP5H+9UF27ZDpCW255kHpubeyb8fXTE+W+zk/h7v3k16903z/zh2lAb3Mt+dhxcKzKYNgVK+deIjZds4gDfrnBJt5Sbd+Lh+/5wWX6cnwPXj5vcTDKc5ApkyYljvlepAffvg76f7n7Pfv31N64x4yyCJ7gU3tbN68WZLUs2dPq/2b/vsIRBE1HoC8l48DPBajci8smZ5sj7egSvrKFdIXluWQSoqlOy5JPHWL/Gfbh7j1j4+9LPXqbrZ/UZE0ebS0/15m27MY5Z14XPr6Vdmn7n/hncz3GTpAeuNuaVDf7I6NzDivI8VFZsFnxx8kfe0Q6R9vZ3f8BosAWlO22eqijpKghYdssOH10aLs29i6XVqxThoyIPu2wsyzTE9cRwKXzWJbUVFmCwtun4so9Znvfpp9wJNknpnAFpmewqvSg+tWRZfEQzFBMf2OOzcrL5WG+7hwydi78DgfLh2xuzQwg0C5nt3sHjTdd0/p+yeZbUumJ3dRLm/nFLWxsO298uV3ZxfwJGVQ3o5gQ0/Nnp94/z5fbr5PJhm92rJ6o/Snf0i3fT/7tlDYAgt66tq1qzZv3qyamhqr/desSawiV1RUeHhWALwQxkFnGM45aqwzPdk+eex4bbtwaTpYvmOqfcCTlLiB/8WfEtnPyjNPiIiA2QYMuAXfXf9wZseOxaS/XSedfmT6baOeajlIG7dmH/Bka8kq6aEXpOu+m5vjF6qU65bhpEtZqTTt5kRa560Z3PpcdJs0o3LX64ZG833hDdv3nL419whYC7+mpswW77dUe3Pc+ij1tbbl7QLO9ORXO/BXrst0+23NJm/aMX04xRaLe+HlxXt19dnm2S9s2D4wavvQoS3KGRUeZ9DTz8+Uzvlqbs6lLc7PPUFP7qzL2+Xh99x27SEsbK8JC1dkf+xhu5ltx/XAW2fekFnAk5dWWZTGA5wCC3rq16+fNm3apHnz5mW8b0NDgz788EPFYjENGTLE+5MD4Kl8HN+xoJF71pmXHK+tMz1ZTvqbflS+WGu4YTu210rrtyRK3SG/2QY9efHkbzwu/flFy6An00VgZztmu0VargNQlq7O7fELke11ZKf+vRI/prp1Tn5tUyrVVDbjoCiPqWwDRaP8OwkLrzIw8tYFr7YuUWbu+X9nd6297fvSlyek3+6A85O/o6alvaIs6ExPUVsQyqUgF9vCsgBpy/lvKS5OlNow1aWj9J0vS8dN9va8nMj0FF7Ot+qKb2b2edlrUP7OFTm/P5neN2WKckaFx5kFucTH4D9bZHpyZ3OPHZZA66g/aGozz9HcnH2fPGw36aYLzLbleuCdmh3eBTz17GZ2vB31u17z3sELgQU9TZo0SfPmzdPChQs1b948jRw50njfZ599VtXV1YrFYpo82ee7RwAZC8MFidIVuWeb6Slm+SSjV0FWpsdr8mhxuo6Fl9Ay+UiXlSbK0707N7tj2WY3IPOFPbcJljsvlTp1SL/v0/+S3voo8f6bqm9IXvzdZpcsFVmwzfpjyzlxG3SgXdQm6Gx49ZQ6fWbuEXwRHo+8JD3zRvbtjBkq7Tss/XZlpVJdq8nVKI29bQNgnH3dvGXSb/6afr/1WZatQPaCXmwrKkq+VubjAqQt579lxGDp40dzcy7tIdNTdIzYXTrigFyfRTLbeQDn98fv8RXzFYXH+UBQKIKefHyIKUysytuFJNA6H8/JSzZ9rVuw39v3S8MNMzcVFUk9umZRsSPi74mfvAjU7NxReuHX0mH7pd/2mgelmx/f9ZoxLbwQWNDTCSecoEcfTdwtXn/99XrsscdUVpa+fs+CBQv0m9/8RpJUXFysE0880dfzBJC9fFw84Cnu3LNdSEyJ2Dc9nkfl9ExvYJzb3XmpdOkp7e/T1Cx1PCb5z3jaPByyubF96gbpxkelz6vM91m1Mbm0mvHn0vE6H/vnsHC7+Trnq1JF1/T7Xvi1zI93x1TpZ7/f9Xr2fOmHvzXfv2sn6bQjpAP2zvzYSMg201OmSh13ZrnOLlaIvCqNyzgzeNZZutK0A/95VTp2r0Fm25WVJAc9RWnsbZvh03l9+2SJdOUfMz8+fWbwgu6zimJS6+FRlPpM2+9P0Mj0FF5RzggS9H0TQU/5Yd4y6R9vS9W1me/bs1tivsI0e5kz6Ml575wPnKUn6Z/dGZW3c/mzfPyeh2XsYMvmn+MW7NenQupdkeXJtIFMT95xe+/+dl3i/TNRXCztu2ciaM0EY1r4IbDhwb777qsvf/nLeuWVV/TRRx/pnHPO0a9+9Svtvbf7SsyOHTv0zDPP6Le//W1LlqfTTz9dAwcODOqUARgKw/UoaoPOMPJqIdH3TE+WAy5nNHxpSeoNr1NxcerTslF62jzK3D4Wpp/p3fpIf/hJZsd7+EXpgl/vem36PaBUk3fcfgV+Zv7p0in59RdrpPuey6yN3z0jzX4w8RQxMudV1h9TKUFP+VrezrvTyDu2Czb0mdERxHvX2Jgoi5zpsWIxafe+UkkeLvJkI9tSnrGYdNmpiTIIJpxZF+sJMM0oE2V78jHrQqEJOrtKlJ7IDro8ly0yPYVXGMaHtmPaoBf+yeyRewuqpEnfswt42unOJ6VPHks8sJWO84GgfBxzUN7Onc16QGgyPTleR239yeaa4HZv5+f3lXGRd9yupYeOlQb29ud4tokHgPYEOl120003aeHChVq8eLE+/PBDff3rX9fw4cO1Y8eOlm0uueQSrV+/Xp999pkaGhoU/+8nfdSoUbrqqquCPF0AlvJxgMdiVO7ZLiTaDoCsMz1Zflac0fCmi+PlpVJt3a7XBD2Fg9vnws++z/aJeNu+jj4zlduNs5+LIT0Nn4xpT22d9Mr7BD3Zsr2O2HIGPWUbCJAp2z4sSv2D7YJNHg59C471exfw9e71OdJp19iXqe3eRXr6Bunocd6eVy45F7G+82Xp6rPN9+/dPZEtwFSZo6+NdKYnw/2m7J/4LmTz+e9YLk0aZb8/7AQdaJByb+7v4QIVdHkuWzwVHx35+BmzPaWgy4KT2SP3pv8nu4AnSVq+TppRKR03Of22YShv5/xcUt4uwbPydtmfiucin+nJYi466KAngmC94xao6Qzm9BLvHfwQaNBTt27d9Nhjj+nHP/6x3n//fUnSwoULJUmx/37CX3/9dUlqCXaSpMmTJ+u3v/2tUTk8AMEL481lGM85nzQ0Si+8Iy1eab7PO58mvzbOvOR4bToACjrTk+3ieJkj6ClKCy+Fxs+bW9tJvajfgAfJrS/wczL3yAOkii7SZsuF8Z2ynYgsZIFnenJMBFHeLni2C54EiuaeZ0G+2Z9Ku65+wD7gSUrse/UD0tEWpcfylXNivE+FtPdg/47nzGr04HTpjQ/M9x+xu/StY/KzrIqTaR82abT07P9Kf/s/u3FDr27S906U+vcyPC/Ha/pMe0FnGEi5N4/Q0/RhzfTEonp4hPHe3HbegfJ20ZfNeLa1jVvNtgtFpifHOZHpyV2UMj05haBbz4hNXxt04AxBsN5xG1MG+d5F6b4CuRP4NE3v3r316KOP6vnnn9ejjz6qzz77rM1thw0bpgsvvFAnnniiivxeZQBgLQw37kyseuvC26TH/5ldG35nerKdALYdcDkH9elK2+1U7lh4mTUvsxvjUXtIfXuYbx8mzc12A97iYv/7oaD7ENtSEtZlJdO0U4iCzvTUu0L6933SE6+aTwRK0quzkgNS/SyRFnW5zvTkZ9BT0NnqwsKzBRs6zZzL14C1ZWuyb2PJquzbyCfOvs7vYCLn2PuZNzJv49+V0gM/M98+HpfqGmJqVkw76tJvv1NRUWal57L5/J54SOIHaE9KCZEIXe/CMK8l2Wd6qq2TbnpUmjXfrq8YPUS69tzMMushWRi+Lraf+6AzpZEdIvecWer36J8Iok7n9dnS+i27Xm/f0fa2rTmD5J0PDOUDytu58yzTUx5+z8MydrBls55GpqfwCvphX8rbwQ85eTYtFovppJNO0kknnaR169bpww8/1Nq1a7Vt2zZ17NhRvXv31tixYzV4sI+P9wEoKEE/xR1lO+oSTwFny3QC3zrzkmU5PdvFL9vjORderrjPbL+dYjHpTz+TvntcZvvls/oG6Xu3S0+9Lu2oz3z/ii7ST78lXfkd789tJ9eAAf8O51kfFrUb8CAFffMnSaOGSDddmNk+3/6VI+iJbEHWAs/05Lgze/k96fRrzffv0126+CRp7DBPTytFlJ+s9qxEmjengwx4VZrQ78+zFxk56iPWrwddrqRzh+zbeOpf5kFPz70lXfybUVq/NYPopf+KxaSD95Ge+pVZFqWgs/54JUrXkaDZljS0FeUxQGjK2zkDzwwX1X9yn/SH5+2P+9rsRNDt87fYt4Fk+foZa830K247H2aLB1tzzzkePXpcYm4ynS//ONGf7FRrGfSUl5meLPvnQmP9XFEefs/z8Zy85FmmJx+/r7bjIqQKvLyd4zUBa/BCzhNy9+nTR1/60pdyfRoAshD0RJsN5yCtZkdiAtpUpw7SQWOkbp29Pa8wqq13j9rP1BEHmG1nm6Y0JUOH4SDN9unVlExPhsdzBj1lKh6X/vexaAU9Pf2G9NjL9vtvrpau/pN08uGJEiRBCUV5O8PjRXlBw1bQmZ5sBZktKOqCzvTknLhdsirzjC5TX5eWPS117dT+dnyl3dm+5/SZ4RX0gqPzM/bKndKh+7a/z6z50uGX7nodtVLIzoyEfi9iHXeQ9MHn2bVhWgKuqSmRIXfTNrsBfzwuvf2xdPPj0t2XWzWRl8Kw0B8WQWcYiHIZitCUt7N8KCyTMp5t+ZcHbRSyMM6dmgq8LyI7RM7VOR5QNJ3b7OQIPr/7/5nNz2/Znvw6H4OeUsqPRugamY1sHixqvW8+fs3D+sCBKZuHu4LO9ER5O++4jet9LW+XRcBafYM0c560dXv6bZ3Wr+mkvQdsUWmWa3LITzkPesonTU1NWrRokT755BN9+umn+uSTTzRv3jzt2JEIOT/55JN16623ZtTmsmXLNHXqVM2YMUOrVq1Sc3Oz+vbtq4MPPljf+MY3NGrUKOO26uvr9cwzz+jll1/W4sWLtXnzZvXs2VMjR47U8ccfr6997WuUAQTa4BykbdomnXZNZm0M7C29fb+0ez/vziuM3AYgRx5gnrmpuFg6bKx0xRlm29uW9bLO9OR4bZ3pybA73n8vaeEKs23bsnJDdvvnmwVfeNPO/Cr/gp7cPhZ+3tzaLqjb3uyxgJ/KNegpD4ddBD15J+hMTxVdsm9jS7X0zqfSlydkvm/UJuhseJUtCMFLmXA23C/o651z8aNDmVRe1v4+XTomv456pie/y9tdd67Ur4f03lzzYIEt26UX39n1Oh5P/KTrI9ZvSdx3Zutzw3uFqJfYQKqgx+gpgQbBHt5XznFfvn5/bBeIai0yKDvV7DDr++AujH203w8d2iLLau45y9uZzgk7M24uW534yZTf40UbzuCAeFz6bKn5d720RBo6ID/nmbKRTab6pKCnPPyih7Ffz4RnmZ78zBZEeTvPuL13vpa3s7yWb6mWplwmfbzY9sjDtc/u1frTj5bYNoA8FtjwoKqqKu/L1V1++eV65ZVXPGvvySef1M0339wSNLXT0qVLtXTpUj355JP6wQ9+oEsvvbSNFnZZtGiRfvjDH2rhwoVJf75mzRqtWbNGb775pp588kndfffd6t27t2f/BsBGPg7wvBhcrVwvPfma9NNvZ99WmLkNgP56ndS3hz/Hsx0AhSXT012XJZ4Wnz3f/FiNTYkBXsuxPci8lU+8yCQm+ft7Cfpm2/omLuI34EEKOtDNFkFP3gk609PXD5V+/dfEglI2vFhgb0+UFxlsA90IFM09ryac/X7rnGMTk/FimaNfb25OtONnmYAgBV2upLhYuuSUxI+pecuSg56kxHtQkmZGzasn/KPep0T93xckv8emKWUoIpTFIizZGmwzPTnvCS46URqZ5gGhdZulW/6y63U8nuiz8zHYIAzC0Nd5lekp6PJ2UeqLwsKZedQ005NXc8c9unrTjpfcxvX7nJNZG8N2k165QxoywJtzykfWJeTzsA8NQwa/bNg8GJ7rTE9cD+wFnenJNtHBi+9mE/CU8MkXXTRzQRdNHJ9dO8g/gd2mfOlLX9LAgQM1YcIETZw4UZMmTdKgQYOCOryRJscMZEVFhSoqKrR06dKM23r++ed17bXXSpKKiop03HHH6aCDDlJJSYnmzJmj5557TvX19brnnntUVlamiy66qM221q5dqwsuuEArV66UJI0YMUInn3yy+vbtq6qqKj3zzDOqqqrS7NmzddFFF+kvf/mLOnVKU9MC8FE+Tg7tNywxwMo2mGLdFm/OJ8zCMgCyzfTkVTk909/JwN7SC7eZbbtT5SLpgPPaPnbYOReITjxUuvV76fc74efS4pVtt+Mlt89FXpa3c7yO0uRC0Nz6nny83pU6JhOcZYPyje2ERBBPP6ZM3vt8zH2HSe/9UXrp3cwCn/78ovTFml2vb3hYevAf7e8Tls9z0GyzBaW0Q58ZGkFf72yC8t2enG9ojE7Qk3MhPh/Llbj9rk3G325j0TkPpWbvcnrkpURJu538zvAZNK433gk6UCfKJaVCU97OMtOTs6/9xpHSkQe2v8/SVclBT1KipBVBT94IQ19oOx9GXxQus+ZJf35B2lSdftud3vkk+bVp0NNZX5EenJ7dgz5Hj5P2HGi/v1+8GJsvWiHd+6x0+yXZt5UvbB9OKYpJraez8nHum0xPqRpdHrz0NegpwllIW9tWY/dwd7fO5nOZgWd6skw8sGajN8ffsI0BbRQF+q6uWrVKf//73/X3v/9dkjRgwABNnDix5SfXQVBjx47VsGHDNGbMGI0ZM0aDBw/Ws88+q6uuuiqjdjZu3KgbbrhBUiLg6d5779XRRx/d8vcnnXSSTjnlFJ177rmqra3V7373Ox1zzDHac889Xdu79dZbWwKejj/+eN12220qafVI4VlnnaWLL75Y77//vj799FM98MADuvzyyzP81wN2wnJj2btCeuZG6fa/SWs2me+3emNiULFTWP69fsr1AMh20t822MN0EtE58Awy/Wdzc7TSzDuDE3t2NStT17G8/Xb85uev36vydtZBT2a7RVrQKftthSXT02dLpe/cKH24MO2mrkYPkR69Wjpwby/PKlnQmZ6kxL9r9JDM9vnPp8lBT/O+SPwgc55levLmdJABr0oTBl3ezijTk8siUn2j1KE89c/DyDmGdgbv5gO398kkuN5tYnr4blLnNEFPvbsnv/Z73IfwCjrDQJRLiISmvJ3le+AsjWoSuNTBpfzqjnqpC8/ZWglDNjHbU7J96NAWD2l5Z9UG6ajLpe212bVjGvR04N5S5SPSGx+klsgzsVtv6Uvj8/P7M7hPYl6yti67dpatSb9NmNh+P8P4Pc/Hz2U2bOY5gl43sl3HCYtFK6RTf2mf2ahPhfTAz6QTD0m/bdClCb1KPFBeJvWtSL/fmk3JWQqbmyP2hYWkAIOeBg8erKqqqqQ/W7VqlZ5//nk9//zzkhJBUJMmTWoJgtptt92COj1J0sUXX+xJOw899JCqqxOh8WeeeWZSwNNO+++/v370ox/p1ltvVWNjo+677z7dcccdKdstXLhQL774oiSpT58+uvHGG5MCniSpc+fOuv322/WlL31JdXV1euSRR3TeeeepW7dunvx7gEzl6wDva4ckfjJx/q2JJ213CsMA229uk2q+ZnoyOL4b28Vq2ycEbMvb2XBru7k5Ok/82/4undtFKdOTVwsMedo9h0LQE7m2whL09OP77AOeJGnuUumyu6S3f+/ZKaWwDYAJ2oCe3rTTzXABK4yTj6Y8CxSN0O8kLLyaTPc7Ys3mWuIWBLRyvflCUXGR1DOgqYEFVdKzb0pba9Jvu9Pny5Nf52OmJ7f3yeRJW9uJ43y9n/YKgaLhFeUSIs7PYb6O+5z3/LaZnkyCnspdgp5sghSQEMbxofE5Bxx0G/DwLdLe/jj7gCdJ6t7FfNuhAxI/UdOhXHroSumn90sr1tm3E/QDnEEz7R7CcI8dhmDWbDj/PU+8ksgM1x5nFh6/7+1sA2fC4lcPZ1fKbd1m6ZI7pa8dnP7z6TamzMeANed9+JEHmFVRmXKp9O+PW7UTsc8KEgILenr11Ve1evVqvffee3r//ff1/vvvuwZBTZs2TdOmTZMkDRw4sKUU3sSJEzVwYB7mrXTx0ku7IiTOOaftwr2nn3667r77btXU1Oj111/Xjh071KFDh6RtXnzxRcX/21OfccYZ6ty5s2tb/fr107HHHqtp06aptrZWr732mk4++WQP/jVA+6I2kHAKwwA7aG4T/H4u/jsHVwtXJJd2a8vS1e2305aUICvTcnoBZoFxC25qyiDoacOW5KwgJuYuk/7+b7tAog5l0kmHSacdYba98wbf9AYpJejJx4mCoLuCwDOepWmnEIU109ML70gTLjTfv2c36dJTMg8SztRnS7NvY+6y7NtoT1jKnJxzrPTX/8suwO34g6R+HgVPhVnQpTngH9uANb+lBHYbjHHcMj2NOTuz447YXZp2s7T34Mz2y8QXa6TJF0tbMiiN4qYkD7PMe1nezuQ9tx2HRX3hBamCzu4V5YC1lExPuTmNtGwzPdkEPbllevruLVKnDql/7qYoJk0YKV3xTfdrWaHLx8+YbR8S9L1y0Jk9Nm+T/udeaeZndg+gjdw9Ua4sH0uy7ajPvo3uXaRjJ2ffThSccVSifGgmc2i3/VW6+k+7Xvs5l5kLUZ6XzMdz8pLzPXjmjczb8PsBbefnaf0W6ZDvm++/c83i0lPNP5uNjdJny6Rai/6zd/dE0KfpsRZUpd8mnZXrE8Gt6TJ1Ou9d/b6We5XpyfQ8Ux8cyMeRGLIV6HRS//799fWvf11f//rXJSWCnFoHQS1fnvyI38qVK1OCoCZNmqSbb745yNPOyMKFC7VixQpJ0rBhwzR4cNuzil26dNG4ceM0Y8YM1dTU6P3339fhhx+etM1bb73V8v9Tpkxp99hTpkxp+V299dZbBD0hZ6J0uYjypJ4ttxv8IKO+6xukykWZt2Od6cnwTXfelOYi05OJXz+RuJkO+sbsb/+XiLr/6qT026b8Lm2DnqKU6cng+G4KKY2038Ka6WnTtsRPJv71gbTwb9Lu/bw7LycvMlD5/QRkWDI9Tdlf+vDP0hsfSg0WT98P7id9daLXZxVOtoFu9Jm5lxLsYbhfkGP9eDy1XzEqb+fBrM38L6QbHpH+ck32bbXllZnZBzxJqeWK84GX5e1M+hWv+hSCnqIv6KCnKGd6CjpTja2U+QqD9yAedwl6MrjHditX9drs9Pu19vy/pY3bpN/8ILP9oiiMJUiNEz0F/LCI7bydrZ/cLz32sv3+87+Q1m6S/n2/d+fkFefvrl9P6cITzPfv2kn6+mHRzNxkKxbL7PvtnMOJWqYn269nGNZkgi4zHDS3jI+Z6uhBG+1xXm8am6R352bWxhsfSgN6mz2svWGLdNSPpE+WZHaM1k6ZIj15vdkco1cZNp1ljt3YzFVkw/ZabnueQa4bIXdy+gzdgAEDdNJJJ+mkk06StCsIamcg1M7goZ1WrFih5557Lq+DnhYsWNDy//vuu2/a7ffdd1/NmDGjZd/WQU/xeFwLFybqfhQXF2vUqFFp23I7D8BPUV/UCcNTBUFzm9j0cxDUy6NyHL26m21nW0Ys0ExPlgsvNTukXz2Su8/xqzPNgp6cN/jGg1fHxG3Qg9d8LG/HE//eCUumpz6GfV17mpqkmfP8DXpyfs//fJU0cWT7+8xdJn3j2rbb8FqYsv6M3CPxE4Qoj428es+j9DuJuiA/z25tmywKdu4oDeglrdqQ3fEXLk+/TTa8KI3SqUMikDPfeFnezmT8YBv0FJa+J8rXkaCFJftsGISlvJ1Npie3/sok81JRUSKDS7YBrZkGSkVVGL4vttefoO+bnM03NScyb5gqLs7sHGfPN9+2LbM8aMMPzvduUB/pV+fn5lwKlTO7fdSCnpyiVEI+jMGsmfjKROnTLIJ7drbhpx5dvWnnjOukkw9Pv91zb6XfJp1n35TmLJDGp5kDlVKz8f3hJ9JxaTLrba6Wxp6b/GcmwVMpWamDztpomnjA8qFk59i+iUxPkZRXicNbB0E1Nzfr1Vdf1b333qvPP/9csVispcxbPlu8eFeBzUGDBqXdvvU2S5YkX0FWrVql2trEzGH//v1VWtr+HWn//v1VXFyspqYmLVu2TPF4XLGoXWkRClH62IVhgB0028l7WweNkcaPyG6CYHDfRKpSE7apNYMcGLr9vk0CfNZtluo8SF1tq7bObDvnv8W6vF3QmZ78O5xni19RmlwIWkrJizy91p10uHTrE9Lyddm1U+/R00RtaXBM5A0bKI0aktk+ZHqC1zzL9OTN6SADXk04+3m9sy51FpPuuVy68LbMM/e15tVTom1x/vsG9JKOPNB8/4ou0jlfTYzb801bpaXTSQmYjpnN0dj2KVF/2hzpBV3ezqbMU74KTXk7x3h0QZX01kft7+M2B2BS3k6SzvqydO+zZtu2xYvyWVGUr/eTNoK+V3a2/+D0xI+pXt2la89JlDMy4cXcUr5mlAhLRusoc85lRiqLoqKdgT7qD5refJE0sFfioUibX/8+Q6XLT/f8tJKMHSYdsq/09sfZt+VFQJOppavtgp4G9pZ269P+Pt07p/6ZyXpQWErVOs/TtkII5e2iKa+Cnj777DO99957evfddzV79mxVVyceJQlLwJMkbdu2axayR48eabevqKhw3VeStm7d6rpdW0pLS9WlSxdt2bJFDQ0NqqmpUefOLj1cQBYuXKgiVodypuG/9U0aGhpUWVnp23ESC45jk/5s/vz5qt9iGN2Q5zZt2k1Sr5bX69avV2XlytydUB5YvLpc0oikP/v0k0pfB0L3XBTTB4s6a/P2zC9bHcubNW5YtdavbNZ6g7du06ZBknq2vF67dp0qK1el3a+ubpSkXcGpy5YuVmUHD2p8uFi7uUTS6KQ/q/z4U3Xr1H4EQNW6MknJI+qSorgUM7vGFhdJdQ1FOuuodercIX20wX8+66rKJbuuQ6vXblRlZfo0A+vWD5a06xq6ccNaVVauTrtfbe2ekrq0vK76YoUqK83SImTaZ26qLpY0JunP5n42V2u7eVCzy8UXy7pKGtryuq6uTpWV6SMBV67sLWlgy+vq6m2qrEz/mM769QMk7bqL2rjR7L2Lss+XdJI0fNcfxJtUWflpzs6nPU/8pFizPu+smjrzjvn+F/pr1cZdeaeXLP1ClZWbfTi7hLr6fSTtOr9lSz9XN7WfJmTRquTrT3Oz9OGH/l1/lq9I/v5sr96qysql/hwsROLx5Pfu84Wfq6zegxQveWDjxuTrz/r1Ztef7dVDJe16xHDlypWqrFzvwxmiLRs2JI/Z128wG7Nv3548dli+wnzskKn6hpik5GzQCxbM045N6Wcgh1VIr94kbdluOKMnacan3XT9E4NbXm/ZZjZ2sLV8RR9Ju2qb7Nlvq3564tLMGqmXfLx1tbZ5e+q475NP52pN9/bHffOqOkjau+V1UVFclZXpZ+RXruglabeW19uqq1VZubjtHf5r1ark92Dbtvy8bm2vGSZp1z3C8qrlqqzcmLsTCrHNm3aXVNHyeu3aNaqsXOPb8ZoaR0raNV5cvNi/e96gLXd872pqzO6bgrZ9e/KY495n7YKSFn7+marXp4+GPXeKNLRnNy1ZbV57dMmaDnph5q7xVE1NZtefoOYzg1a7Y29JHVpeV32xTJWVW3J3Qi4WVnWUtFfL6+bmZlVWfpJ2vxWOeYft2/39/mzYMFBSb/v9t0g/ulsa1Xeu+qS5lktSTW3ye/edI9dp/z23t7vP6k1luv3ZXb+TeNxsDBC0L6p6SNo1XtyxY7sqKxfl7oQK0OrVPSXtSoyweavZuG+nfO8zGxtHq/Uy9OLFi9SjqP3vjyTFm8dI2nXv8/nCherUVOPDGdpbty557nTzpujNnR49KvFja9Hn3p1LW24/N6b3F3TR+q0GaSz/64WZFZqzsEv6DQ10LEu/RrKjoUjx+K4gm3kLqlTZc1Pa/bbXJK83rVy+WJWV7Y+9G1zWays/ma+t69pfr53vmPeOyd9571Urk/u+6mqz68/KVf0k7SpNsG3rZlVWfpF2v5rtQyTtKinT0NiUl31moWj2KcI3p0FP8+fPbylnN2vWrKQgn9ZBThUVFZo4caImTpyoSZMM6uLkUE3NrgtveXn6G8IOHXYNmLdvT77YZ9qWc7vt27fnNOipqalJTSY53+G7nYNfP7hlWWhqavD1mEFydr5NTc2R+bfZqq9PXWxpbGzw9WmG4pg0fnh2jwcav23x5A+16XvuvE43Nzf69llpakoNUqqrb1BDaft97g6XAIgZt83xLSvV9trdkoKe6hviRr+TRscjcDE1Ge1X5HjupL7RbD8nk30aGlLfg8bGBjU0+BP05LyeNjebnWej8zocN3sPmp3Hi9P3Od/bmMx+l7nQsbRBh43ekdE+f3ujV1LQU32Dv+95yhAxnn7sEG9O7azq6huMs8FlqrHR2Rfl73ueS40N/l3vgtbkuP7Em82uI/E448Vcc47Zjd87Bffe1dWnDpabM7xv6trBfNtuHcuSXtc3+Hxf6LgxjCk634Nml/QMdfXp+766huSJ9+KY2XvQ1Jw85mhuNh1D2437gpc8jm5qshuzQ2qy7PvsJb93DQ3Ree9SxgD5+v2Je7NAEG+uN753PWz0Bh02Ov12O709t1tS0FNDk/31Jy/fA0vNzfnf9zU2pi4VGV1/HPdN8nn+oG93bx64WLSyWBWd0rcVd7x3owdv1eFjNrff9uoOah0IFo/HVF/v79ypjcYGZ5+Sp31fhMUc89CNUeszHdOnTU1m8wfOr0o+zjs452rjzJ3mRHFMOmhEZg9QHDZ6vb756zHaWG0eKOXUrWOj/vazuerTPf17fvF9e2vOol1B6x8t6aCuHTum3c/5MGuR6tPPncalWCyeFGRVuyP996e+Pth57+Zmxxqc6T1vylyt2fcuFnPM/TTH+L5GUKBBTwsXLmwJcpo5c6Y2b97c8netg5y6d++uCRMmtAQ5jRgxwqU15Lvi4mIyPeVQ6w47XWnErLi8xSUlpSotjUYu1mJHNEgsVuTv7zMEioqT//1FsbjKyqLzO3G+5yoqNnrPmx23Y2WlZvvZKC9LXeEvLi5VaWn7fW6sKPV8ystKfZt0KS9Lbrip2ex3Eo8n//tKSsy+d850prFYifF7kGmfWeISZVFWWqLSUn9+maWO48UVMzrPoqJix2uz/ej7UhUVlThe+3x9DVhJyl2B+ffHRqMjjXB5WfrjdShPvXWJFZWptNSfjLAxx/enuNjs+xN1zl6upMTfz0qQYo57l+Jis+tWkaMORJHh2AHeicWc753ZdasoFtx7V9+UOk4rKyvxrQ/rWJ7ch9U3+nwtjyX30SUR6jPLXd67ouJSpfvnpY4d4lbjzJhMx8J2476gOUv8mfa1SOWcc/P7+uPsM4uLIzQGiIXj+zNiUJ3ezTJpX+9uDerXI6Yil/kBLzjnK5qaM7v+BDafGTTH96ekJP/6vlLnTWHcbt7B7/umkw7eqlc/rNHcLzpl1Y55H5b83pUazPeVudSQLCkpzbuS6Sn3vHna90WZcy43Ho9Wn+m80ykxHPc556p/NXWoOpWbrTfFJI0YVKsfn7wqbVWEnSqXdNKfX+2jtZvNf4drHNua3oMi9/pUSE/8bKFe/6ibqndk/iRl5/JmHbHvFg3sLbXOxNTm9h2SvwnP/qePnv1Pmjp1Ljp1NPv+lBbHVd+460v02fLuqmno0M4e0sLVyX9f7PO8t/Oe13StQzG7MUdJcXKn0tzM9S6XmpubfUmaE1jQ0yGHHKKNG3dFW7YOcurWrZvGjx+viRMnavLkyRoxYkTKJEhYdOq0a7BdV5e+vNeOHbuewndmZcq0Led2uczyJEnDhw9Xly7epAhE5iorK9XQ0KDS0lKNHTs2/Q6W3B4MGzlyhPYenPrnYdT7/5Jf9+zZW2PH2qdQjoImx/ioqCjm62csaL1fTX499c3emvpm5u/5XsOHya9fywaXDOgjRo7RgF6pf96a870rLZH228+/927wB8mvO3au0NixFWn369It+fVuA/tp7Nh+7hu34qwE26//QI0dO9B1W6dM+8y1Lhlox4wZoz4VqX/uhRWODM6lpWVG5zngs+TXXbp2Ndqv73+SX1dU9NTYsT3dNy4QmxxzK6WlJZHq+7p3TX7db8AgjR07yH3jLDU1JZ48am3MqL01akj7+1W4VGsZNXpfdc1urrtN/RxZjrt37xap99yWI7ZEw4fvpbFZpDvPJ90c159+/fpq7Ni+affr6vj+9O8/QGPHDnDfGL7o+XLy6969+2js2PSTiM73buBA87FDpra4ZKHfZ/QoDUr/EbOy1fG6vqlU5RXmfVhZqTSkf+qCQ1v6zEl+XVHRPTJ95naXJBAjRozS0DRf82pHf1lcJKPfyTtLk1936tzZaL/+jgpEXbvl53Wri2OqauBu/o05os553erf3+y+yZYzCf3uewz17Z43aM77pm7dzO6bgvbbYVJtXHrjA/fM6+kMHSDdfkmp9vdxHmCDc54wltm8ZFDzmUHr4Pj+7LHHHnn3/Wl2Jp2Imc339XNcf7oFcP2pnCxVrZVqzZZMJEmHXiJtbDVAGrqn2bxdmeO9GzJkSNr9yrqn/tm++45NeVgv1952VFHr2sVszAHvfOioyF1W3ilSfaYjrk7Dhw83+t4VO1auq9aZl1mVpHnLO6pj55564tr029bVS0dc5X6/lokePZg7DZOxkr48JZsWzOcNBvST5EGluH1H76V99ky/XYdyqXXiphunZn6vVVbm77z3rKrk1506mV1/ejvWLHr17KGxY3u4b9xKT+cmseK87DMLRXV1tebPz/JJDheBBT1t2LCh5f+7du2q8ePHa9KkSZo4caJGjRoV2iAnp66tZk03bUpfk7N1tquujhnXbq1mL1pv15bGxkZVVyeuzKWlpUlBU4BfnIuWUeN8Aifq/14TjqzOeXfDni2vrkZ+/l7cytGZBEY7J0X9Kgm1kzMBWL1h5TfneZqW33Nu52eF1aD7AucwyfT4zu0iMtzKCWcJy6KI/S6d/YGf3x+3BRqXB2GNtjGtKFlXL73wrrR8rdn2kvTvj5NfR+09txXlfsTZtZo+iZ3SR3tyNsiE83du+jm1vb7acKmQ5ut4sdwxDttWI40+K7M2Ruwu/fMOabBBYFbKPUKeZTLIhu3Y27lNLGb2AXN+fBn3oS22fZ8t53XR+b0PM+e/JV+/P906S3+7Ltdn0T7nfYVPFeBDJ4x9tOlXPBf3yrGYtHuGMZ7O+0nr66vBPm73Ec1xKd+mUJ3/tnzLRFUInH2mTUBrmJj2fb26ZR+E9N5cs+0+W5b9sSSpZ7f026AwTRgpPfV6dm106yztZRi75JwLsOH39cDZFzjHEm1xzquYnqfznj5K9zHYJdDydjsDm+rq6lRdXa3q6mpt375djY2NkUkjtueeu8Isly9fnnb71tsMHTo06e8GDBigjh07qra2VqtXr26J2G7LqlWrWtKB7bHHHpEJJEP4ROmjlzLhnJOzyC8pA4sIvd9S5pMmbTFZHLLltkDmtpDm1OC4cTYJMshGmaP9esMyyc4FIuugJx+rbLpNjvn5VUi5EfBxcs7teAR8pv7OozYZ6OxX/Jxoc1v4MAnCdNvG9Dy/cZ00/T/pt2tP1N5zr0Spe3BOstBnJqxcL939jLR0deb7lpZIRx0onXusv/cIXv3O/Xzv3Cbx/BxHdyjLvo35X0i/nybdfFH6bZ3jrig9GGE79k75ndgGUkasT4F3An8QI8fH95PtfRNSOecZor6AbyoMXxfbsVpYArqCDCp2G+OZLugGKSXoKU/fuyhzjjP9nMvMBduxwg9PlS6/J7tjm15/vLhOde0kfefL2beDaLr0FOmLNdLL75k/FN7aoD7Sr86Tyg3v8fcbLv3frMyP09rYYdntn47twxTOa6nxulFKX8sFL4oCC3oaOHCgVq5M5Gqsr6/XrFmzNGvWLN13330qLy/Xfvvtp0mTJmnSpEnab7/9VOKsIR0Se++9d8v/f/zxx+1smbrNXnvtlfR3sVhMw4cP18cff6ympiZ99tln7aZba68twC9RmuRyw4RzqpQnuCK2CHze8dLU16SPF6ffti0/Ot3noKc2nhhLJ9eZnuYskL76k/T7zVmQ/Nr0PIMMenLj58Sec+LJti/K18nHMCi0TE+ZTPrU7JA+WWKeHWqbS5kgkyBM26CnVRuyD3iS/A8URe7ZPukcse4gxQk/lz5aaL//X19NfFcv/Jp355SOdcCa52eyi2umJx/H0UMHJMZipkHnbVlmGOzmvAZE6Tppu3CZ+hSqYaYnrzJ8mu0WOLLj+cfv9zzKmZ7IduKdlExPBD25CsO9uen1JywPCFlfX9O0Y3KsTI4XpKjP8YYBmZ7cXXaadMQBUmUG8/MfL5J+87ddr23H0CXF0gM/Mz9ueal0+H7SwN7m+6CwlJVKv/1hcMf7/RXSxbcn5nEyvfTElAia+v0VfpzZLrZrHbYJGVIyPUUswBQJgU3dv/7661q+fLnef//9lp+dQVA7duxo+bN77rlHHTp00AEHHNASBLXvvvuqOCSPCQ4fPrwlwGvRokVavny5Bg1yzzm3fft2zZ49W5LUsWNHTZw4MWWbww47rCWY6a233mo36OnNN99s+f8pU7IqRgoYCzrbSdAIekpl+8RyWPTtIX3wZ2nxSmlHfeb79+sh9a7w/LSSuA3mTIINnNlV/F7Ad7a/aZv06szM27GP2M/8WKbcugI/Jy2DLm/HYlSqoMuHBM12om3WPOkrV0ibs0wF7nfQkxcO38+bdpCZ+gbpjQ+lFesy26+uIZGivmaH+T6fLkl+nY8l0oK2ZmN2AU87/fN9f4OePLve+ZnpyaVtPxeWunSSHvipdNUfs+sHTcsSRbm8ndv7ZJPpyXRC1qtxWNTGKkgVdHYVrx7EyEQ8Lm13CZhPp6hI6tTBfPuwlLcLAzI9uQtDNiSvMj3la+CzZxm0TTI9WT6sGLR8PKdC41YS1PSBMin/F+6zGSvsOyzxY+qVCkfQk+F+zu3KSqVzvmp+XCDf7DlQeuXOXJ9F+2zL26VkerJ+WD5PByvISqDPKw8aNEiDBg3SKaecIkmqqqpqCXaaOXNmSxBUbW2t3nnnHb3zzjuSEgFBBx54YEsQVHuBP/ng2GOP1UMPPSRJeuSRR/TLX/7SdbunnnpKNTU1kqSjjjpKHTt2TNnmuOOO0/333y9Jmjp1qs477zx16tQpZbs1a9bopZdekiR16NBBRx99tCf/FqDQRXkRy1bUs51Iifd92G65Pou22ZbYCDrTk1e1zLt3MdvOOXj953vS1u1m+65bN0C9uu7QSQdvNdo+8FIStpNztsdztkPfF/m+zzbo6Y4nsw94cju+6TZH/FAqTbNvrSOAtaxUOiyD24nSEulL46WLv26+T5QFPTY65ZfSS+/6e4y2WAcoRKjPtAkAd5NttqF0rDMgZtHOjjpp7jLzRYm1m1P/zO/AoLO+kiizkMliyM2PS9c/vOu16fUgNauR+THzXSyW+Pe0/j0aBT2llGw2zPTkeG0b7B4WYT3vfBB0EIXt4oStaTOkH9yZCMC1MW6E9MyNZiXswxK0EQbOMXtTU+L3m49BPkEKY19nm+kpX99r2zG7TQlstz4kHz8DZHrKPef9wOKVUtlR5vuXleyjo8Zu0q++s9LbE/NIkJlInW3bBlHkax8GRInzOmm61uFZpqc8vCYjezkt0jB48GANHjxYp556qqREENR7773XEgS1atUqSVJNTY3efvttvf3224rFYpo7d24uTzut888/X1OnTtX27dv1xBNP6KCDDkoJQvroo4/0u9/9TpJUUlKiSy65xLWtvfbaS8cee6xeeuklrVu3Ttdcc41+/etfJ5X/2759u37yk5+orq5OknTuueeqWzePVpqBNILOdhI0sp2kSnmKOxyJ+CLFbYGsujb9E7DVjr9PFyiQraMPlPbob14WxU3/ntKxk822df5e3p2b+DHTR5L0zzm1+mRy+n7MNctdHpa3C8PTpGERlpT9tmyDnrL5fu+0Wx+pR9f027kFPdkcf49++f/EExKWrMpdwJOUWqbVVJTGi27Xm5+fKZWlmUn4zyfSa7N3vQ56QsnvTE8zP0uU7M026DOIbEixWGbjdefn3jjoKSXAx/yYYVAUk1rPr74+O9FHtWf2fEcbpiUzAyy/kwt5elow4PwM+5odrzlRlmPdZvs2Zs+XbnrUrERNWII2wsAtg+uld5n3gVs2DdCBw7boqP1rvD2xHAtDCVLbcwpL0KD1vIrjtW15u3xcYE2Z58jT9y7Ksn0gtb6xSC/P6aVJI2s0fpw35+QnX+dOLccpYenDgCix/b7aZphOrRDCFz2Kchr05LQzCOq0005TPB7XK6+8onvvvVeff/65JCnuczh8VVWVnnnmmaQ/mz9/1yzV3LlzdddddyX9/eTJk3XQQQcl/VmvXr10zTXX6Morr1Rzc7MuvfRSHXfccTrkkENUVFSkOXPmaNq0aS1BSpdddpmGDWs7T+NVV12lDz74QKtXr9b06dP1+eef65RTTlHfvn1VVVWlp59+WlVVVZKkUaNG6aKLLsrq9wBgF7KdpLKNpoZ33CYLJ1p0/X5neqroKr37B+mFd6TN2zLfv2tn6bjJ0oBeZttnUr6gLfOWd9SiFdJw98q07fL1aSWvgp58Pl62GhvtJgJLSzKfONm4VZr3hfn2cx1lr6LW9zlvErdsl9ZuSr/fRkdytI7lmZXOHL6bdOelZu9fSXEiOGqTRX/SmsnT/sgP2Sx0ZquoSDrqQLNto5zpya1PvuacxHe9Pbf/LTnoye/fSdDlv37zN2+y3OVjAG1KiQ3LTE9RC3oqLk4OAPvJ/Zm3URQzzPQU4T4F3go60C0lg4KPn81N27wZB3y+3Gw7Hhbxjtu9wB+ez6SFPnrijT66+ZwvlOfFHrIShs+YdSakPP232T7YmhIQYTDGcZsvyMcyZGR6yr09PJqfWLomzQ1ajgQ5jLXNkk/gMxA82++r82Er0+sW5e0KQ14FPS1YsEDvvfee3nvvPc2cOVNbtyZWUWIBXWVWrlypP/zhD23+/fz585OCoKREliZn0JMknXzyyaqtrdWtt96quro6TZ8+XdOnT0/apri4WBdffLEuvvjids+rX79+euihh3TZZZdp8eLFmj9/vm655ZaU7Q444ADdc8896ty5c7vtAV4KOttJ0AphwvmTxdInS9Jv13r71qK2oBEWxcWZ1Xh3k0lggq2+PaTvHuf/caREgNSfX8i+na0GD5QG3ffZ3gika8d0O7/7vnWbpW9dL735kd1EYP+e0p2XSWcYpgD/yyvSd2/JbtIxapOBzkXuu59J/GTqmRulr07y5pycYjHpJ9+Urv6TfRulJdKPTvfunApRkAHhdY7SasXF0oF7me9fWpIokdoltYp4u7p0TPQn40eabR+hoW8Kt37SJOjTq+uWLevrnWH7K9ZldDquhg5IHzyWC25liUxEfdGspFiqy7IN0/smrxZlw3JfHsV77KAEnTnG+b32cwG/vtGbdkyz1ZHlwTudPXgYSZLeqOymn3vTVF4IQ1dne90IS1bkIB8mc/sd5OP1jkxPuTdyD+l7J0p//Ht27TTH8/PNC3J86lWWfL4HgP9SytuZlqO0zPTknOfIx0BkZC+nQU+LFi3Su+++q/fee0+zZs3Spk27Hid3y+o0fPhwTZrk0yqKD7797W/r4IMP1tSpUzVjxgytWrVK8Xhcffv21eTJk3XGGWdo9OjRRm0NHz5c06ZN0zPPPKOXX35Zixcv1pYtW9SjRw+NGDFCJ5xwgk488UQV5etdBQpKWCZXTYQl6Gn5Wuns/5Xe+TSzC7bpBGB76HZyY2h/aeGK7NoYMsCbc8kXJx8uPXdzohRSfYP5fk+8KjW0mlTfUd/2tjsF3RVEvbzdb/4m/esD+/1Xb5Quuk06+TCzclQ3PpL9zU3UJkG8yvzW3efY+yu/I339UGl+Veb7FhUlAmYG9fX+vOAP54Jn7+7Su3/Mzbm0JyzjRRu2payD/p14tfBvep7OrEalJZn1o3sNku79n/y8LjuD4o3L20U809P4EdKbH2bXxujdayRlHunmd4bPoOXj5z6sgr7eON+7DVukqrXm+/fvaf7gjTPwWZI+eVTqnCaQ+anXpZ+3ep7VtA8jy4N3+vaQDhqTmJ/Kxo6GaF1IwnJv7jTyzPTbrN+S/Dpf75VtH96wee/CUt7OJosVvBWLSfdfId1wfup3qT2/fFB67q1dr/Px8+UmHx8YZQwABM+2vF1KFRrD69a+jmJbwwbsMNsRoRJo0NOSJUuSMjlt2LAh6e+dgU7Dhg3TpEmTNHHiRE2cOFE9e/b09fwmTZqUkskpW0OGDNGVV16pK6+8Muu2ysvLdeaZZ+rMMw3uNoCARGlRx02un1I3dfWfsp+Et+V3iTS4u/0S6aybpG0GWYnc9O8p/eo8b88pH5x4SOInE9P/kzyx4DbB7pTrTE/Gk3Np2jE+ntlu1uYty76N6lpp5XqzYL4V67M/3j57Zt9GPrEp6ehUVORNO+mMGpL4QfTVOQJYy/IqT/EuUQ56ss30ZBusa8u2fdvFL+dE2wM/lc7+qt055Jtix9ieoKeEh6+S/uce6dMMMuTuVF9fp5GDtutnp62S1CPt9pRYhy2/F+mcffvl9yR+THXpKP35KunUKem3dcv0NGy39A849HV8xcj0lBt/v1V6cLq0dJX5Ph8tlN6du+t11Pu+fFxUdzsn0xKR6drJB7ZzvDbzKqEpb0fflzd6VyR+TPXsmvw6X/vMIM/Ls2xufA8A31kHKVrOO5xxpPTqTOmld5p04LBt+trETZJ2M9sZoRHYtPFhhx2m9euTV5jcgpx2BjhNmjTJ9yAnAP6I0rgwLBPOzpJzQZo4KnfHLmRfO0Ra9w+78ipFRdKgPjzBtVOHsuTXzkV2U/n4tFLQi8C2GjzIOieZL2o0OBZRunRMXeRtS0zSuBHSb3+Y0anlvYu/nrj5e+sju/07licCKftUeHpayENBBvg4s/aVG2Ryywd5Oly04hr0ZDB+yHUgmN/lXFMCfCL0EIDzgQbnNbMtUS9vt0d/6dn/tdu3snK+GhoaVFpq1olFfcEm5byi1GkGLOj3PNvvdXVtInjwlMPTn6tb5l6TLFG22erC8v0Ji57dpJ99O7N97piaHPSUrw8d2gpDNr5e3bxpJ1/vCYO8vrptk48f6aiP36LMef8RmvJ2Ph6L8nZAeDi/Z+u3JCozpPPRQkc7htetLp2kqddLlZWfZnRvjnAJLOhp3brUVdk999wzKcipV69eQZ0OAI/kaxCQV3K9YGOqps6bdvbNIHNJLCbtv5d0+w+8OTYyV1oSvRJ1uVDuCHoyKm/nlunJm9Nx5dnknDen47lGx4Lq1WdLZ3+l/X2amqXRZznaMVjUiMdTt3v7/uhlbspUz27Sv+6WtlS7P1mfTvfOZqUFgUykZHrK089YWMaLNmzL24Um05NlZsMmx3UkSlmNSsn0lHNBZ9xEeNlmdbU1bDdpdpYJ8lesk2rrpE4d2t/ObQxg8u+zDtwk6CnnUscO0XoTwjA+7N9L+s6Xpb+8Yt9GRRfpvOO8Oycv2Y5PnYFBJp9MMj3Bb873Kh8/X27y8YFRxgBA8Jzfs41bpesfzrwdrltoLdACAUOHDm0JcJo4caJ69+4d5OEBBCRKA8OU2rK5OY20ahwlaO+5XDp4H/P9hw6Qunfx9JSA0HBmDnn5veRyd242bvXvfNx49bSS35kvbDkXIwb0Sl8mze2cTBZm3SaCKNO5C9cC+CUelxZUSYtWmu8za17y63zN9BShoW8Ktz7T5un2oCfhba93ppwBPlGaaHNeE22DnsgUYC/ossaAqRvPl+YukT6xKPPY2tbt6YOenJmeTEvc2vZhZHnIPed1I2qZnpzytY9++Crp0lOk5RZZxctKpcmjpV7dvT8vLwR5fXUbB+Vj4BuZnsIrtc/Mz04lyI+9Z5me+B4AvvNqfs9ZwQOFLbCgp3//+98EOQERlIf3a57KpsTTX1+Vnn4jNSDJxKA+0vdPksaPNNvemelpzNBEFiYA6TkH2X/6R+InU/n4tFK6dky3CzroyaR0RSyWWNRovZBhsqjhtg1BT4A52wwk1/9Zuumx7I5NpqfgpTz9bTgBHPSDA7bBHrZj/UIqb7dpWyIgPB1nyWUyPdmz/VyGpTwXmay8E3RW1+GDpI8ekaprzO9H6hqk/l9P/rPjfpZ+gWLr9uTXzuy8bbENekrJ5JKn358oC2vWElNhCUwtKpImjEr8RI3t9ccmIMLt/c3HQD4y3IRX0Jl1bQU5PrV98MYmmxuA7EwcJXXrnDrmz0QsJh01zrtzQvgFFvREwBNQOKJ0g2S7iPV/s6Szbsru2I+8JHXtJPXqln5bZ9aZjuXZHRsoJOmeMjbl5+Je1J/4b3AsRpgEPe3crvVChkn5CrdtCHoC/FXfIN35VPbt5G2mp5BMONuwzXyRzYMDNjwrb2cb9BShAB/nNbhqrXT8zzJvJ0q/k6BFuU+Bt3IV6NalU2bbl5UmZ276aGHmxzTN9OTsw4wzPTle5+t9U5SlBEznadYSW/TluWc9r2IRYBqa8nYRzl4adSmZnvLw8xU02wdvnNuR6QnwX89u0uu/lR74h7Ruc+b7d+4gnX5kZtVuEH2BlrcDED1Rv2m3vSF+80Nvjr+tJvGTqU4EPQHGDh0rvf1xdm2MGyF18PF751l5O8PjBf0EfkqmJ8MgJJsnud22MQ2yAmBnW41d5kuncSOybyMIURoeW2e+yHV5O8v9jIOeHNeSKAX4eHVNjFL2q6B5lYkiLOuWi1dK73xivv3QAVL/Xv6dT5iEZT5mQC9p2ers2uhtWC6L8nbhlZLpKSSfb1NhycYXZc5fuen41Oa9cy1vZ3a4QFHWK7yc9x95W94uyExPjtfWmZ7y81cJRM4Be0u/vyLXZ4EoyfkSz5IlSzR37lxt2rRJ27dvV+fOndWjRw+NHj1aQ4cOzfXpAbAQpYGh7YRz66cYgxaLSf175u74QNhcd660du1azVnYUXEVqXOnzhntP3yQdP13/Tm3nbxa/DI+nkftmLIpbyd5F/REpifAnE1AeL1LhrVBfcyDIoqLpMPG+t/X2opyVpbQlLfzKtOT4X5RLm+33/DE7yXbz/EBlNq2FuU+RUodZ971VOInE7++WPrJtzw7pcjI17mYS06Wfvb77Nr4/slm21HeLrxiKQv4uTmPoPARC15qNjGz/Wwywbltko+ZeFLG+nwwQ8P285xrfn7EgszmBgDIPzkJeqqurtZjjz2mqVOnat26dW1u17dvX33zm9/UWWedpS5dugR4hgBMhWVAbct24d950zhhpPTNo9Pvt2ildP9zZsdoy/nHS70rsmsDKCTlZdIPT1ythoYGlZaWauzYsbk+pRS2denD8jSpbdCTTfkKgp6A4LmVlfzksUQZ3yjI067VE7YlL2yfsrVle72znRh3jvWjlOlpcF/psaulO5+0TDPfUfrW0dJJh3l+agXDq0xl+Tru8+K8bnxU+uFpibJp6TQ1SS++K32+PPPjFMWkSaOlg/K0bEJYSrJd8U3psP2kjxdnvm9M0oF7S/sbBlI6x/X1jVJtXfr9nOW2yXYSvNTsxnn6gbYU9fnTMPAsk6Jlpqd8DORLGevT94WGs89sas7PPjPIvo/ydgBQ2AIPevrggw90xRVXaNWqVYqnueKtWbNGd999t55++mndeeed2n///YM5SQBZyc8hth3rhRDHTeO+w6TLv2G2723fl/5dKdVZZIsa3FcaOyzz/QDkN+vydo7Xfi8CS9KqDdK/5ki19eb7bKpOfk2mJyBa3DJgluU857B3opyVxfY6kusnj42vd47XlLdL+PaXEj/IDeun1NO0ky/GDJX+9UF2bVTXSlu2S30q0m97+T3ZP1j056ukc76aXRt+CFNmgomjEj9+c95HbKmWunw583by+XcZVc6xQz4GiGQjLH10lNmO+2z6Wrf3Nx/vEcj0FF65vt8yFWTfR3k7AChsgU41f/LJJzr//PNVW1vb8mdFRUUaMmSIdtttN3Xs2FG1tbVasWKFli5dqub/Xm1Wrlyp8847T48//rjGjBkT5CkDSCNfB9Re8erp70xuGjuWS1+aYL49gOizfSIxXTtem/+FdMgPpE3bsmvHNujJ+YS2G7dtCHoCzNksFriVtzP9nodBlIOerDM9OTMU+vw7Cfq6mFLeLmJBT8itKPcpknT9eVLVWmlGpXnpsXhc2laT/Gc7DALsm5ulh1/M/BydHn0pP4OekMqrcT0LnsGzfdAnrPiMBc+rOV6jTE8u2+RleTsyPYWW8zMWlkBRP/s+6xKWBP8BQCQENtXc2NioK664QjU1iVmKrl276nvf+55OOeUU9ezZM2X7TZs26dlnn9Uf//hHbdu2TTU1Nbriiiv0wgsvqLiYlSkgn0Xpxt020MD59Dc3jQCy4Vl5O8vjmU4UPPl69gFPklRuUKpESl3U2Lwt/fE3bEn9sygFXwD5yJnpqbg42mOjkMw3G0kJ5Dd832yfpPeK35kNU4KemKKAh4Isv5MLPbpKz/5vZvvU1UudHNnHTIKeauvMSpuls7k6/Ta5EJb3PEh79Ev8HrK97gzp7835wFxKpqc8LdVkK+pBXGFgG5TvVXm7ID4CdfWZXbOqa5NfE+wRHqnZ8fLzzQuy77P9jtsENgIA8k9gSzz/+Mc/tGzZMsViMQ0ePFgPP/ywdttttza379Gjh84//3x99atf1Xnnnadly5Zp2bJl+sc//qGTTjopqNMGkEbU79mt06LyhAAAD7k99Xr+ren3m7PA7ni2i20bt9odr7WO5dIBe5lt6wxWOusmu2OS6QnwV4Mj01OUSttJ0c7KYvvUa9DlFmzbt37AgUxP8JFXfUqUbkHLXALi6wyCnrbvSP2zow5MH/C+ZqP04cJdr53XsXxB0FOq3hXSdedKNz1mnknMaf/h0kUnenlWMBHWrCWm+L7mnnX5WIvxsNsmfmd6uuXxRN9nEhTclig/mBI1zvuPfL0HDbLvs80YSKYnAIiGwKabX3vttZb/v+uuu9oNeGptt9120x133KHTTz9dkvTqq68S9ATkEbfBY5Ru3K1TH5MeGICH3PrVR17yph0vOfu+vj2koQPM9+/bQ7riDKlbZ7PtvQhWisXoowG/OcvbuS1eh1mEhr4pnP26bQYl38vbWWY2TNdOW5xZXQl6gpdsM6Xl62KXF2IxqUNZ8kKuyaJujUvQ07P/K3Xt1P5+z70lnXbNrtf5GvQEd9ecK13+DWnd5sz3LS+VBvaO1rxWWKQGTJu/Cc//W/rj83ZZ2bp2kr57nPTNozPfNxNejVVgz6uACNtMT34GPa3eIP3ywezb4XMZHs7Pc1NIsuP5eZZBlrAEAOSfwIKe5s6dq1gspv32209jxozJaN999tlH++23nz788EN99tlnPp0hAKRKmXQx3I9MTwC81LmDN+10MmzHdrHNmfni1CnSvf9jtq+NPQdKny7Jvg0A5pwTgKf8Mn1JyjpHebvSiGVXi3KmJ9vydraLSl4xDs5yvLYub0fQEzzkVSaKqC3YOIOefvGA1Lt7+/tsrUn9s07l6Y/lzAQVlqCnqL3n2ejaKX1wG/KLbaanBVWJIMVsAkr+b5a01yBp3Aj7NjLF9zV41tfXNO2YHMutHS8tXuVNO8PM8hQgDwSdWddWLsvb7Tx+uu9s1MfQAFAoAgt62rBhgyRp2LBhVvsPGzZMH374YUs7APJD5DM9OV6T6QlALuzRXzpwb/tydVKibz75cPNtW8vXReAbzpcqF0nLVtvt36OrdNdl3p4TUGg2bMl8n8hleopw0JNtqv9cZ3oy5TzP5eukdz5Jv5+zZFJxxAL5kFu2ZRejrkNZ8uvXZmfeRnmZ2ffVmU20wbJMmt/IHIMosV3Af+dTbzLo/LvS36An+vLcs72+2gREuG3jZ6YnZxZSG0ePk84/Pvt2EIywlgQNsrydZBf0xMPrABBOgQU9lZSUqL6+XvX1dkWFGxoaWtoBgKB4lRaVp78BZCMWk16+XfrLK1LV2sz3LyuVvjxBOuIA78+ttaADPscOkxZNldZuspvg6VvBQjWQqX49pE3bsmtjQC9vziVfhWS+2Yhtqv9cB4LZnufj/0z8ZIqxPrwUZCaKMKnoIq3emF0bPbqYbReWTE9kJkCUpC7gm32g6+yWGlJs2e5NO23h+5p7XpWPNX3rioqS50j8DEpxPoDWs5v02ePm+5eXkR0vbLIpCRpVbQUbppubtC3pDgDIL4FFEPXu3VvLli1TZWWl1f4fffRRSzsA8odrpqfgT8M31kFPZHoC4LFe3aUfnR7MscKS6UlKnGu/nv4fB0DCz8+Uzrs1bj2pWlQk/ezbHp9UjmUT4PPeXOmtD1MzB5kYMkA6+TCpg0GpJlspY1rDtz3o8na2wR5ePcVL0BO8ZLsom9JOlG7MJX3rGOm6P2fXxre/ZLZdWIKegChxzpuZBog4x1B7D5Z+8q30+z32kvTvj3e9/sfbmQX29+4unfmlxHjMRtT66DBIyURqmHkpDA8BOOdiykqk3hX+HQ+557z/8DOTmK2gK4S4rb+YfO2c27COAwDhFFjQ07hx47Rs2TJ98cUXeumll3Tsscca7/vyyy9r2bJlisViGjdunI9nCcALUbpxt0197LwhJi0qgDDxrO9jogCInLO/Ku3W+TPNqypRSXGJhu65p/G+MUn77in1j1imJ9th3rQZ0mnXZLcAcvLh0jM32u+fjm2/HpbydvuYf3zb1KFMGrZb9u0AO1lneopSmjkXV58tjRkqffi5XUa9fYZKpx1htm2ps7xdngY9kTkGUZKStcRwAd8Z9DS4r1mJro8XJQc9zVmQeTn530+T5v1F6mKQISfqfXQYpHzGDPez7WuLYlLrj6efQSmUXi48qYGi+TcICDroya1pk+9dSqYnT84GABC0wIKejjvuOD377LOSpKuvvlqdO3fW4Ycfnna/t99+W7/4xS+S2gGQP6J+z277lK3zCRsW/gEUgibnRBt9HxBJfbo3qqJTrUpLSzV2bK7PJvdsAxT+8kr2C2DTZkhbqqXuhiWbMpXNIk977fjNdKL6slOlT5dIL70n1TdkfpxBfaT/vUjq6GO2LcB6UdbzM8mtWCwR6Hly+qnErKVkerLIxheEqJc0RGGxLW/nDEosMQz26NnNbLv2rNogvfeZdLTBM9pR76PDwKvydsaZTx3zIc+8kfi8mIjFpHF7S+NHmm2fi6zbyK3UPjM355FPXDM9GfxeUr7jfH8AIJQCC3o69NBDNXnyZL377ruqqanR9773PR199NE65ZRTdMABB6hHjx4t227evFkffPCBnnvuOb366quKx+OKxWKaPHmyDj300KBOGYClKE20eVbeLkK/EwDR51XAJxNtAAqB7XhxS3X2x47HpW01/gU92Y5pbcuH2LINqupYLj16tbfnAmQryHI4cOdW3u69uZntv89QqazU2/Ny4rOBKEnJwmNZ3s406On4g6T/fcyuxHBrNTvs9ovS3GlYeJVJ0bi8neP1rU+Y7dfaH38qXXBC+u14AK3wpGR6Ckt5Ox+P5/bdNAkGsy1hCQDIL4EFPUnSnXfeqTPOOENVVVWKx+N67bXX9Nprr0mSOnTooI4dO6q2tlY7duy6W4j/98q4++6764477gjydAEYiPokm3XQE08IAAgx+j4AsGc6PHZmFho7TNqjf/v7NDVLL77jaMfHsku2/bpt+RBblHhClAS9KItUzqCJ5mbp4O9n1saAXtLrv5P2HuzdeaXDW44ws81a4sz05AxabMu4EdJrv5X+35vS9lqzfSTpqX8lAs53Mj3PiE+fhoL19TVNO20pLZF21Jtt25YH/m4W9GQb/IfwcvaZG7eVaNoM8/27d5Ymj/E3Y20+lLezyfTEeAoAwinQoKeePXtq6tSpuvLKKzVjxoyWgCZJqq2tVW2t+x3G4YcfrltuuUU9e/YM6lQBZCFKk6spN8SG+5HpCUAh4ulCAIXIdgHFWS7p0lOl849vf5+mJqnsqOQ/q8tyMaU9thPAQWd6Snd8IExsM26mtMP3wJoXGZpWbZDue1b63Y+yb6stKZ8N3nOEWErWEsPydtkEexw6NvGTiRmVjqAnwzEOgam5lzI+9Tmo+NCx0kvvmm3blg1bzLYj63bhcb7HC1d11Km/zKyNffeUZtwnde3k3XnlEuXtAKCwBRr0JEm9evXSn/70J7377rt66qmn9N5772nDhg2u202aNElnnHGGJk2aFPRpAjAU+UxPjtemkxlkOwEQZp5lemIiF0ABsO3qnJmeygzuzouLE+PK1mPSfMz05FXQhqmI35KgwNg+eMP3wDt79EssALYObLCxMnW6s02btkn/N0vast18n1WO9gmiQJg57x2Ng8gtMz3Zss1IRdBT7tmOT20fAnjkKunah6RPlxjuIGlTdfL2zock2pIS9ESmp8gr8uA9/nix9M/3pdOOyL4tN25fMV8zPVHeDgAKWuBBTztNnjxZkydPliStWbNGmzZt0vbt29W5c2f16NFD/fr1y9WpAchSlMaF1gv/PGEDIMRsF9uYaANQiGzHi85gJdNFuvJSqbauVTsNbW+bLdvspUGXt3NiohphRnm73CsrlZ64Vvr576Uv1prvV9+QHIDhzILalk3bpIkXSYtXZnaeQJSkZnoy2y/osl4p5xlwNkvYSwne9/n62rtCuv8Ks213en2O9KX/2fXadJzv/B4wDx1940d4087qDAK0veDn+NTtXtUq0xNjaAAIpZwFPbXWr18/gpyAkIp6pifbDE1kOwFQiCjtCaAQWZe3cwQ9mZZTKnMGPfmY6ck21X/Q5e2ifk+CwmLbp8Bbxx+U+MnELY9Lv3xw12vToI1XZnoT8OR3sAfgp5QMSs1mN5POTDihyfTkzekgAzYPd7ldg/0M2nBmfnXeL7TFGWTL9SD6xo2Q/vAT6e6narStpkiKxVReVp52vxXrk+8l63x8gCboMSyZngCgsPl6G7BmzRr99a9/1TvvvKOqqipVV1era9euGjRokA466CB9+9vfJtgJiKAoDQxtUx+nLPzzhA2AELHt+1I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" ] }, "metadata": { "image/png": { - "height": 385, - "width": 1184 + "height": 382, + "width": 1182 } }, "output_type": "display_data" @@ -7245,16 +6700,6 @@ "execution_count": null, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\git\\pypsdm\\pypsdm\\plots\\common\\utils.py:115: FutureWarning:\n", - "\n", - "'S' is deprecated and will be removed in a future version, please use 's' instead.\n", - "\n" - ] - }, { "data": { "text/plain": [ @@ -7263,21 +6708,21 @@ " ], dtype=object))" ] }, - "execution_count": 21, + "execution_count": null, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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ubq7fuZienq6bb77ZfBzoay8dXFVy11136cCBA5IOfh0mTZoUcOXMkCFD9Nxzz8npdEqSXn/9dX3//feNfRlkGIYGDRqkp556Sn379vV7PlT/hp599lmNGjXKb//JJ5+svLw88/G8efMCvr6yslKPP/64+fjKK6/UTTfd5FdfSkqKnnjiCfO8NgxDjzzySMBjPvfcc9q1a5ckyel06rnnnvNbcdiuXTtdc801uuGGG7R///4m/5zbt2/XP//5T0kHV/+8/PLL+ulPfxrw38zPf/5zsz+SJBUUFAT8HgsAOIjABgBgO76Xopx99tn6yU9+0uDYvn376ne/+535+JVXXvH7AJCSkmI20Ny1a5dfj5Vt27aZl8pkZWXplFNOkXTwMp+65qF1SkpKtG3bNklSnz59AvZWee6558ztu+++u8E+KXUmTZqkrl27Sjr44a3ug2pDjjvuuKAunYq02267LaR3QkpMTNQFF1wgSeYlTcHWkZAQ+KrvuLg4XXTRRebjlStX+o2prKw0t5vTFLa1Qn3eH65Dhw7605/+1KyaEhMTdcsttzT4fN2lb3WcTme9ug7305/+1AzvNm7cWO9rXWfBggXavHmzJGnMmDF+l5EdLiUlxbwEaP/+/Xr33XcbHS9JU6ZMafLfZWtceumlGjx4cIPPjxs3zjxHN23aFPDr8Pbbb6u6ulrSwa/rDTfc0ODx2rdvrzvuuMN8vHTpUm3cuLHeGK/XqzfeeMN8fN1116lHjx4NHvPqq6/WkUce2eDzdV544QWzt851113XaAN26WDIXdcIvu7yRwBAYAQ2AADb8e0Rc/HFFzc5/uKLLzaDgtLSUr8PKlL9VTa+xz/88SmnnFJv7GeffVZvrO/qmkD9a3bu3KnVq1dLktLS0hr90FanQ4cOZgPWPXv2aN26dY2OD7TqwmoZGRkBewM1Zffu3Vq0aJGeeeYZ5efn695779XUqVPN/z799FNzbN3XtTFHHXWUhg4d2ugY39VOvo2m66SmpprbH3zwgbkiIdzCcd77OuOMM5q8G9nhTjrpJHP1SkPS09PN7bPOOqvRFSodO3Y0P9B7vd6AX3/fVUbnn39+UHX6rnRrKthzOBxmYBAuTTUQT0pKMsPehr4Ovt97fvGLXzQZMB133HH1em4d/n1uw4YNZvPmhIQEMwxtSGJiYlBf/4ULF5rbTR2zTnP+vgAgltF0GABgKz/88EO9D8gjRoxo8jXdu3fX0UcfbX5gLS4u9gsPTjnlFL3yyiuSDn6Qyc7ONp+rC2E6dOigE044wbxt8+7du7V06VJdccUV5ljfD0G+wU6dr776ytzeu3evpk6d2mT9kuo1mf3+++8bDXqaCiSs0Nyavv/+e02bNk3vvfdewLtFBeJ2u5scE6hJ9OG6detmbgda2XD88ccrNTVVO3bsUElJiX7xi1/ooosu0tlnn202/w21cJ33vlpy3viGMQ2pWx0mye/23oH4hkaBvv5ffvmluf3+++83eBmjrz179pjbTd0Ba/DgwYqPj2/ymK0RivPQN6A84YQTgpp3xIgRZuB7+MoV38cDBw6s9/fWkKbu5OV2u83VUImJifUud2rMt99+a243545lABBrCGwAALZSXl5ubnfs2DHoS1KOPPJI84NroA/2h/ex8Xq9Zo+Fug+Exx9/vPlh/KSTTtKCBQu0fPlyHThwwFzJ4LvCpu7SKV87d+40t7dv366XXnopqPp9NdWrJZKX6QSrOTUVFxfriiuuaPYdraqqqpocE8xtnX0vl6rrVeMrMTFRDz30kH73u9+purpabrdbTz/9tJ5++ml16NBBxx57rE4++WSNGjVKI0aMCMmticN13vtqyXnT3K9nKL7+vv+GGupz05jDb1V9uEj8+wnm6+Db1ynQ18H3nAjm0qTDxx1+Pvgez3cVWWN8L3cLxPd26/v372/R97um/r4AIJZxSRQAwFZ8P5Q3dXteX506dQp4jDpOp9NcfeB2u83eNL79a3wDmLptj8dj/qa7pKRE27dvl9Rw/xrf3/S3VF0/iIZ06NCh1XOEWrD9QGpqajR58mQzrOnevbuuvfZavfDCC1q4cKG++uorrVmzRmvXrtXatWt1//33m68NpjlpKMIT6WDA99Zbb+n//u//6v3Z6nrpzJw5U7/+9a913nnnmbftbo1wnfe+WtKzpblfz1B8/QOtNmmOpv79hLN3TZ1QfB3q+tdIwZ8TjZ0PvscL9mvQ1LyR+H4HALGMFTYAAFvxvXvNjz/+GPTrfD+MHH4HnDpZWVnasGGDpIOXNg0ePLhenwjfvgq+4c3SpUs1dOjQJi+Hkup/wDn77LP1xBNPBP1niAXvvfeeGXr16tVLr7/+unr27Nng+GBW1YTLUUcdpQcffFB33nmnli9fruXLl2vFihX6+uuvtXfvXknS5s2bdf311+vPf/6zfvvb37Z4rnCe99HmiCOOMIOA2bNnB7zDWizo1KmT+XUI9pxo7HzwDXPqzt+mNDWv7zGTkpLoRwMAIcYKGwCArfherrB37956y/gb49u0Mzk5OeCYQI2H6y5x6tixo4477jjz+YyMDLPXxuFjDz+WL98GrWVlZUHVHkuWLFlibl9++eWNhjWSzNVPVurUqZNGjhypG2+8US+88IKWLl2qv//97/X6lDzyyCP64YcfWjxHOM/7aON75yLfS25ije85Eey/g8bOB9/jBds3pqlxvn9XlZWVzQobAQBNI7ABANhKr1696n0I8G1A2pDy8nKz8aWkBn8j77tq5osvvtCBAwfM/jUnnHBCvWay7dq1M+8C9cUXX6i2tjaoFTbHH3+8ub169ep6v/G2s1BdStQU3/4kwTRmDabhbKR17NhR5513nl588UUzoNu/f78WL17c4mOG87yPNr7/hlasWGFhJdYaMmSIuR3M+XD4uMPPB9/HGzduDOpyJt8m6oH07NmzXj+cYOsEAASHwAYAYDu+wcrs2bObHD979mwdOHBA0sEPEAMHDgw4rkePHmYfG4/Ho/fff9/8DXKgBsJ1oUxlZaU++OAD87fXRx55ZMD+NdLBy2jq5ti/f79ef/31Juu3A9++OPv37w/bPHXNm6WmL8soKirSypUrw1ZLa3Xr1q3e3Zxae/vvcJ330eYnP/mJuf3GG29o37591hVjId9LNOfNm9fk12HlypVmby7J/3vawIEDlZKSIulgk+O5c+c2erxgxkj1/75efvnlJscDAIJHYAMAsJ1LL73U3P7ggw8aXbnw3XffaebMmfVe29hqEd8PMf/4xz8C7m9qbEOra+pcc8015vaMGTPqfYhqilWXgPjeYth3FUyo+QZdCxYsaHDcjz/+qDvuuCNsdTQmmNuH1/G9ZKS1dx8K53kfTX72s5+pf//+kg7+e7jrrruCajgtHex5FC2r2ppywQUXmD1iSktLG71ldk1Nje69917z8SmnnOIX4LVr104XX3yx+fgf//hHo5fePfPMM2a/qcZceeWV5m3SP/jgAxUWFjb5mjqxfMkbAASDwAYAYDunnnqqRo0aZT7+wx/+oHfffddvXFFRkX7729+at4VNTU3Vb37zm0aP7Ru2rFu3TtLBHiXDhg3zG5uRkWEGGXVjDz9GIBdeeKH52/Gqqir9+te/1iuvvKKampqA4ysrK/XWW28pJydH99xzT6PHDpf09HRz++uvvw5b75izzjrL3J49e7aeeeYZv7vEbNmyRVdeeaVWrVpVr6lppLhcLo0bN04vv/xygx8oq6qqNH36dHMFUHx8vM4888xWzRvO8z6axMfH66677jJDgMLCQk2aNMlsGB7I6tWr9fDDD+snP/lJUCFDNEhKStJ1111nPn7yySc1Y8YMv+8jZWVluu6668zLlxISEnTTTTcFPObll19u9rYpLS3Vb3/7W7+v64EDB/TMM89o+vTp9W493pB+/frp2muvNR/fdtttevDBBxsMgwzD0CeffKI//elPGj9+fJPHB4BYxl2iAABh88orrzTrlsd/+MMfdM4550iS7r//fv3qV7/S1q1bVV1drRtvvFEzZszQcccdp8TERG3YsEFff/21+Zv3Tp066ZFHHlHXrl0bnSPQSpoRI0YE/GASFxenrKwsvf/++/X2NxXYxMfHa8aMGbryyitVXFysyspK3XnnnXr44Yc1fPhw9erVS/Hx8fJ4PNq0aZM2btwowzAkHVxdYIWUlBSdcMIJ+vLLL7Vv3z6NGzdOI0eOVEpKinkZ01FHHaVf//rXrZrnzDPP1Mknn6xly5bJ6/XqwQcf1EsvvaShQ4cqKSlJW7Zs0Zdffqna2lr16tVLv/nNb/Twww+H4o/YLGvWrNHdd9+tqVOnql+/fkpPT1dycrIMw1BpaalWrFhRbyXHNddcU6+XR0uF67yPNqeffrruuusu3XXXXaqtrdWiRYu0ePFipaWlKSMjQ507d9bevXtVWlqqNWvWBN2kOdpcddVVWr58uT766CNJ0hNPPKFZs2bplFNOkcPh0I4dO7R06dJ6Ic6f/vSnen2AfHXv3l333XefJk+erNraWq1Zs0bnn3++TjzxRB199NGqrq7WsmXLzFV2t956q+67774m68zNzdV3332n2bNny+v16plnntGLL76oY489Vv369VPHjh1VVVWl7777TmvXrjX/7fiu7AMA+COwAQCETVlZWbPulOTxeMxtp9OpWbNm6aabbjJvvb158+Z6TVbr9O/fX9OmTat3l6eGdO/eXWlpafr222/NfYFCnDqHBzZHHnmk+vbt2+Q8ycnJmjVrlu6//369/vrrMgxDlZWV+uSTTxp8TceOHTV06NAmjx0uf/nLX3T55ZerqqpKu3fv1rx58+o9n5WV1erARjp4mdikSZO0atUqSdL27dv9VkWkpaXp73//u7755ptWz9dcvrdD9nq92rJli7Zs2RJwbGJion7/+98rNzc3JHOH67yPRpdccon69eunO++8U5s3b5bX69X69eu1fv36Bl+Tnp5u3t2tLWjXrp0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" ] }, "metadata": { "image/png": { - "height": 3548, - "width": 1184 + "height": 3545, + "width": 1182 } }, "output_type": "display_data" @@ -7364,25 +6809,7 @@ ] } ], - "metadata": { - "kernelspec": { - "display_name": "pypsdm-jSSP0xKC-py3.11", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.4" - } - }, + "metadata": {}, "nbformat": 4, "nbformat_minor": 2 } diff --git a/docs/nbs/plotting_utilities_colormap_lines.ipynb b/docs/nbs/plotting_utilities_colormap_lines.ipynb new file mode 100644 index 00000000..4cc32855 --- /dev/null +++ b/docs/nbs/plotting_utilities_colormap_lines.ipynb @@ -0,0 +1,181 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "8b4c143eeb4eb393", + "metadata": {}, + "outputs": [], + "source": [ + "# NBVAL_SKIP\n", + "# Some jupyter notebook magic to reload modules automatically when they change\n", + "# not necessary for this specific notebook but useful in general\n", + "%load_ext autoreload\n", + "%autoreload 2\n", + "\n", + "# Gives you high resolution images within the notebook\n", + "%config InlineBackend.figure_format = 'retina'" + ] + }, + { + "cell_type": "markdown", + "id": "8b2257b793e45017", + "metadata": {}, + "source": [ + "# Line traces on colored maps" + ] + }, + { + "cell_type": "markdown", + "id": "af3299a51ce4f699", + "metadata": {}, + "source": [ + "## Load Data" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ed91aa65d4df4ed4", + "metadata": {}, + "outputs": [], + "source": [ + "from definitions import ROOT_DIR\n", + "import os\n", + "\n", + "# The PSDM specific input models can be imported from the pypsdm.models.input and\n", + "# pypsdm.models.result. The `GridWithResults` container is located in pypsdm.models.gwr\n", + "from pypsdm.models.gwr import GridWithResults\n", + "\n", + "grid_path = os.path.join(ROOT_DIR, \"tests\", \"resources\", \"simbench\", \"input\")\n", + "result_path = os.path.join(ROOT_DIR, \"tests\", \"resources\", \"simbench\", \"results\")\n", + "\n", + "# IO data models in general have a from_csv method to parse psdm files\n", + "gwr = GridWithResults.from_csv(grid_path, result_path)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "382a780e6d535da6", + "metadata": {}, + "outputs": [], + "source": [ + "## Get Line Results and Calculate Utilisation" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e627f98dc4b1a6dd", + "metadata": {}, + "outputs": [], + "source": [ + "# NBVAL_CHECK_OUTPUT\n", + "line_input_data = gwr.lines\n", + "line_utilization = gwr.lines_res.utilisation(line_input_data, side=\"a\")" + ] + }, + { + "cell_type": "markdown", + "id": "996972adceb10219", + "metadata": {}, + "source": [ + "We want to plot the line utilisation for a specific timestamp, thus we need to filter the data" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "78633775ec817e4e", + "metadata": {}, + "outputs": [], + "source": [ + "# NBVAL_CHECK_OUTPUT\n", + "import pandas as pd\n", + "\n", + "specific_time = pd.to_datetime(\"2016-01-02 12:00:00\")\n", + "# filter for timestamp\n", + "filtered_data = line_utilization.loc[[specific_time]].to_dict()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "698f4e5bdc2008a2", + "metadata": {}, + "outputs": [], + "source": [ + "# NBVAL_CHECK_OUTPUT\n", + "line_utilization.head()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4b80c7e6de4ab8e3", + "metadata": {}, + "outputs": [], + "source": [ + "from pypsdm.plots.grid import grid_plot\n", + "\n", + "grid_plot(\n", + " gwr.grid,\n", + " cmap_lines=\"Jet\",\n", + " cmap_line_values=filtered_data,\n", + " cbar_line_title=\"Line Utilisation\",\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a7b536a17d94f126", + "metadata": {}, + "outputs": [], + "source": [ + "from pypsdm.plots.grid import grid_plot\n", + "\n", + "# you can use key word 'fixed_line_rating_scale' for 'cmap' to switch to a fixed scale from 0.0. to 1.0\n", + "\n", + "grid_plot(\n", + " gwr.grid,\n", + " cmap_lines=\"fixed_line_rating_scale\",\n", + " cmap_line_values=filtered_data,\n", + " cbar_line_title=\"Line Utilisation\",\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "c046d734d02120cd", + "metadata": {}, + "source": [ + "### Adapt Base Map" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "be1d1cf652b9102b", + "metadata": {}, + "outputs": [], + "source": [ + "from pypsdm.plots.grid import grid_plot\n", + "\n", + "# you can adapt the base map via 'mapbox_style'\n", + "\n", + "grid_plot(\n", + " gwr.grid,\n", + " cmap_lines=\"fixed_line_rating_scale\",\n", + " cmap_line_values=filtered_data,\n", + " cbar_line_title=\"Line Utilisation\",\n", + " mapbox_style=\"white-bg\",\n", + ")" + ] + } + ], + "metadata": {}, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/nbs/plotting_utilities_colormap_lines_and_nodes.ipynb b/docs/nbs/plotting_utilities_colormap_lines_and_nodes.ipynb new file mode 100644 index 00000000..f47bee7b --- /dev/null +++ b/docs/nbs/plotting_utilities_colormap_lines_and_nodes.ipynb @@ -0,0 +1,114 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "initial_id", + "metadata": {}, + "outputs": [], + "source": [ + "# Some jupyter notebook magic to reload modules automatically when they change\n", + "# not necessary for this specific notebook but useful in general\n", + "%load_ext autoreload\n", + "%autoreload 2\n", + "\n", + "# Gives you high resolution images within the notebook\n", + "%config InlineBackend.figure_format = 'retina'" + ] + }, + { + "cell_type": "markdown", + "id": "ecc0f2aea61054d4", + "metadata": {}, + "source": [ + "# Combined Node and Line traces on colored maps\n", + "## Load Data\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "111d54a0414e3808", + "metadata": {}, + "outputs": [], + "source": [ + "from definitions import ROOT_DIR\n", + "import os\n", + "\n", + "# The PSDM specific input models can be imported from the pypsdm.models.input and\n", + "# pypsdm.models.result. The `GridWithResults` container is located in pypsdm.models.gwr\n", + "from pypsdm.models.gwr import GridWithResults\n", + "\n", + "grid_path = os.path.join(ROOT_DIR, \"tests\", \"resources\", \"simbench\", \"input\")\n", + "result_path = os.path.join(ROOT_DIR, \"tests\", \"resources\", \"simbench\", \"results\")\n", + "\n", + "# IO data models in general have a from_csv method to parse psdm files\n", + "gwr = GridWithResults.from_csv(grid_path, result_path)" + ] + }, + { + "cell_type": "markdown", + "id": "245cf1730874c5e8", + "metadata": {}, + "source": [ + "## Get Node and Line Results" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4c86d8fcb5214f59", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "\n", + "nodes_results = gwr.nodes_res\n", + "\n", + "# Nodes\n", + "# We want to plot the nodes voltage magnitude for a specific timestamp, thus we need to filter the data\n", + "specific_time = pd.to_datetime(\"2016-01-02 12:00:00\")\n", + "\n", + "filtered_node_data_dict = {\n", + " str(uuid.uuid): node_result.data.at[specific_time, \"v_mag\"]\n", + " for uuid, node_result in nodes_results.items()\n", + " if specific_time in node_result.data.index\n", + "}\n", + "\n", + "# Lines\n", + "line_input_data = gwr.lines\n", + "line_utilization = gwr.lines_res.utilisation(line_input_data, side=\"a\")\n", + "filtered_line_data_dict = line_utilization.loc[[specific_time]].to_dict()" + ] + }, + { + "cell_type": "markdown", + "id": "3dab36707eb8776d", + "metadata": {}, + "source": [ + "## Plot" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d9af772f79a74db0", + "metadata": {}, + "outputs": [], + "source": [ + "from pypsdm.plots.grid import grid_plot\n", + "\n", + "grid_plot(\n", + " gwr.grid,\n", + " cmap_lines=\"Jet\",\n", + " cmap_line_values=filtered_line_data_dict,\n", + " cmap_nodes=\"Rainbow\",\n", + " cmap_node_values=filtered_node_data_dict,\n", + ")" + ] + } + ], + "metadata": {}, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/nbs/plotting_utilities_colormap_nodes.ipynb b/docs/nbs/plotting_utilities_colormap_nodes.ipynb new file mode 100644 index 00000000..a1bd70ab --- /dev/null +++ b/docs/nbs/plotting_utilities_colormap_nodes.ipynb @@ -0,0 +1,113 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "initial_id", + "metadata": {}, + "outputs": [], + "source": [ + "# NBVAL_SKIP\n", + "# Some jupyter notebook magic to reload modules automatically when they change\n", + "# not necessary for this specific notebook but useful in general\n", + "%load_ext autoreload\n", + "%autoreload 2\n", + "\n", + "# Gives you high resolution images within the notebook\n", + "%config InlineBackend.figure_format = 'retina'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1f7515ae946ecb58", + "metadata": {}, + "outputs": [], + "source": [ + "# Node traces on colored maps\n", + "## Load Data" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4e28588b0754acf6", + "metadata": {}, + "outputs": [], + "source": [ + "from definitions import ROOT_DIR\n", + "import os\n", + "\n", + "# The PSDM specific input models can be imported from the pypsdm.models.input and\n", + "# pypsdm.models.result. The `GridWithResults` container is located in pypsdm.models.gwr\n", + "from pypsdm.models.gwr import GridWithResults\n", + "\n", + "grid_path = os.path.join(ROOT_DIR, \"tests\", \"resources\", \"simbench\", \"input\")\n", + "result_path = os.path.join(ROOT_DIR, \"tests\", \"resources\", \"simbench\", \"results\")\n", + "\n", + "# IO data models in general have a from_csv method to parse psdm files\n", + "gwr = GridWithResults.from_csv(grid_path, result_path)" + ] + }, + { + "cell_type": "markdown", + "id": "465ca15787fcbbb1", + "metadata": {}, + "source": [ + "## Get Node Results" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d4c3e4a37049e5d1", + "metadata": {}, + "outputs": [], + "source": [ + "nodes_results = gwr.nodes_res" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d4e2c270acf7c8a9", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "\n", + "# We want to plot the nodes voltage magnitude for a specific timestamp, thus we need to filter the data\n", + "specific_time = pd.to_datetime(\"2016-01-02 12:00:00\")\n", + "\n", + "filtered_node_data_dict = {\n", + " str(uuid.uuid): node_result.data.at[specific_time, \"v_mag\"]\n", + " for uuid, node_result in nodes_results.items()\n", + " if specific_time in node_result.data.index\n", + "}" + ] + }, + { + "cell_type": "markdown", + "id": "bd5fdde043c017f3", + "metadata": {}, + "source": [ + "## Plot" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "76936275b3496f4d", + "metadata": {}, + "outputs": [], + "source": [ + "from pypsdm.plots.grid import grid_plot\n", + "\n", + "grid_plot(gwr.grid, cmap_nodes=\"Rainbow\", cmap_node_values=filtered_node_data_dict)" + ] + } + ], + "metadata": {}, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/nbs/result_models.ipynb b/docs/nbs/result_models.ipynb index 80c8a2b1..f3df4267 100644 --- a/docs/nbs/result_models.ipynb +++ b/docs/nbs/result_models.ipynb @@ -4,8 +4,18 @@ "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The autoreload extension is already loaded. To reload it, use:\n", + " %reload_ext autoreload\n" + ] + } + ], "source": [ + "# NBVAL_SKIP\n", "# Some jupyter notebook magic to reload modules automatically when they change\n", "# not necessary for this specific notebook but useful in general\n", "%load_ext autoreload\n", @@ -21,15 +31,16 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[32m2025-08-11 16:43:42.043\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mpypsdm.models.gwr\u001b[0m:\u001b[36mfrom_csv\u001b[0m:\u001b[36m293\u001b[0m - \u001b[1mReading grid from /home/smdafeis/github/pypsdm/tests/resources/simbench/input\u001b[0m\n", - "\u001b[32m2025-08-11 16:43:42.435\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mpypsdm.models.primary_data\u001b[0m:\u001b[36mfrom_csv\u001b[0m:\u001b[36m273\u001b[0m - \u001b[34m\u001b[1mNo primary data in path /home/smdafeis/github/pypsdm/tests/resources/simbench/input\u001b[0m\n", - "\u001b[32m2025-08-11 16:43:42.436\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mpypsdm.models.gwr\u001b[0m:\u001b[36mfrom_csv\u001b[0m:\u001b[36m305\u001b[0m - 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53.6516, - 53.6524 + 53.6477, + 53.6494 ], "line": { - "color": "#1ac938" + "color": "#1ac938", + "width": 2 }, "lon": [ - 11.3561, - 11.3561 + 11.3511, + 11.351 ], "mode": "lines", + "showlegend": false, "type": "scattermapbox" }, { "hoverinfo": "text", - "hovertext": "MV3.101 Line 57", + "hovertext": "MV3.101 Line 94", "lat": [ - 53.652 + 53.64855 ], "lon": [ - 11.3561 + 11.35105 ], "marker": { "color": "#1ac938", @@ -87,32 +100,35 @@ "size": 0 }, "mode": "markers", + "showlegend": false, "type": "scattermapbox" }, { "hoverinfo": "skip", "lat": [ - 53.6456, - 53.6451 + 53.6461, + 53.6477 ], "line": { - "color": "#1ac938" + "color": "#1ac938", + "width": 2 }, "lon": [ - 11.3692, - 11.369 + 11.3521, + 11.3511 ], "mode": "lines", + "showlegend": false, "type": "scattermapbox" }, { "hoverinfo": "text", - "hovertext": "MV3.101 Line 67", + "hovertext": "MV3.101 Line 93", "lat": [ - 53.64535 + 53.6469 ], "lon": [ - 11.3691 + 11.351600000000001 ], "marker": { "color": "#1ac938", @@ -120,32 +136,35 @@ "size": 0 }, "mode": "markers", + "showlegend": false, "type": "scattermapbox" }, { "hoverinfo": "skip", "lat": [ - 53.6525, - 53.6538 + 53.6456, + 53.6457 ], "line": { - "color": "#1ac938" + "color": "#1ac938", + "width": 2 }, "lon": [ - 11.3724, - 11.374 + 11.3692, + 11.3682 ], "mode": "lines", + "showlegend": false, "type": "scattermapbox" }, { "hoverinfo": "text", - "hovertext": "MV3.101 Line 19", + "hovertext": "MV3.101 Line 49", "lat": [ - 53.65315 + 53.64565 ], "lon": [ - 11.3732 + 11.3687 ], "marker": { "color": "#1ac938", @@ -153,32 +172,35 @@ "size": 0 }, "mode": "markers", + "showlegend": false, "type": "scattermapbox" }, { "hoverinfo": "skip", "lat": [ - 53.6477, - 53.6494 + 53.6389, + 53.637 ], "line": { - "color": "#1ac938" + "color": "#1ac938", + "width": 2 }, "lon": [ - 11.3511, - 11.351 + 11.3669, + 11.3664 ], "mode": "lines", + "showlegend": false, "type": "scattermapbox" }, { "hoverinfo": "text", - "hovertext": "MV3.101 Line 94", + "hovertext": "MV3.101 Line 98", "lat": [ - 53.64855 + 53.637950000000004 ], "lon": [ - 11.35105 + 11.36665 ], "marker": { "color": "#1ac938", @@ -186,32 +208,35 @@ "size": 0 }, "mode": "markers", + "showlegend": false, "type": "scattermapbox" }, { "hoverinfo": "skip", "lat": [ - 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53.6456, - 53.6453 + 53.6498, + 53.6504 ], "line": { - "color": "#1ac938" + "color": "#1ac938", + "width": 2 }, "lon": [ - 11.3692, - 11.3665 + 11.3578, + 11.357 ], "mode": "lines", + "showlegend": false, "type": "scattermapbox" }, { "hoverinfo": "text", - "hovertext": "MV3.101 Line 84", + "hovertext": "MV3.101 Line 55", "lat": [ - 53.64545 + 53.650099999999995 ], "lon": [ - 11.36785 + 11.357399999999998 ], "marker": { "color": "#1ac938", @@ -4377,32 +4780,35 @@ "size": 0 }, "mode": "markers", + "showlegend": false, "type": "scattermapbox" }, { "hoverinfo": "skip", "lat": [ - 53.6443, - 53.6461 + 53.6448, + 53.6443 ], "line": { - "color": "#1ac938" + "color": "#1ac938", + "width": 2 }, "lon": [ - 11.3544, - 11.3521 + 11.364, + 11.3619 ], "mode": "lines", + "showlegend": false, "type": "scattermapbox" }, { "hoverinfo": "text", - "hovertext": "MV3.101 Line 92", + "hovertext": "MV3.101 Line 87", "lat": [ - 53.6452 + 53.644549999999995 ], "lon": [ - 11.35325 + 11.362950000000001 ], "marker": { "color": "#1ac938", @@ -4410,32 +4816,35 @@ "size": 0 }, "mode": "markers", + "showlegend": false, "type": "scattermapbox" }, { "hoverinfo": "skip", "lat": [ - 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load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 14
e4aaf6c9-8551-41c4-a3f9-54d7348076af
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 107
40612e93-0348-46dd-8d66-a5480fb4484d
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 105
957fb2b9-d0db-48e4-bc59-39741464ed1c
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 92
ee484025-9503-4938-8690-5a7f0861370e
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 119
58435c80-af6d-4675-b5de-41d8d4c0b87a
load=Count: 1, Rated Power: 595.0 kw
fixed_feed_in=Count: 1, Rated Power: 252.3 kw", - "MV3.101 Bus 73
0f63de16-1c22-4e6b-8090-90929e2e407f
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 56
0d6102de-9f0f-47fa-9eb2-e8f5149a7851
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 33
46248ba3-8fa1-4225-b087-10739b0811cd
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 15
2837f3ce-c6fb-45ba-9cf0-27ad14987c81
load=Count: 2, Rated Power: 774.3 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 31
b7e2b6d4-7566-417f-b5a3-f2ead1ceed98
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 25
97b96777-900f-49d2-90b5-044c38bc371e
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 60
c2d61c41-06a1-4490-9e68-8fe7dfec579a
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 55
38145153-0dd5-429c-b0c8-e876956fa70f
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 99
f6761178-0491-441c-b7e6-4126b29fbada
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 124
79143963-b1bb-4eca-8ba8-d3712f5696c5
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 122
cc0495c9-0bfe-41ba-b98b-978b8f4b1b69
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 110_1
335dc8f6-35c6-4c94-bf39-a77cbee563e8
", - "MV3.101 Bus 48
9b372fbc-8da2-48a3-b76e-ad52957f77d3
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 106
8f2d1b47-8115-4139-93d2-3ddb6a9119ff
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 128
ebde173b-fb40-484b-aeb9-d565b97c5102
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 75_1
a4b428dc-15dd-4b48-a115-322988f0cf73
", - "MV3.101 Bus 71
2289d9f8-70e3-438f-a25a-8812b53f0aff
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 46
99d5e9ac-6fdf-4957-bf69-64dc088434f4
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 BS busbar1A
6bc544cf-71e5-4d0a-941a-4e806c22fd8d
", - "MV3.101 Bus 53
296e67f3-2711-43ff-9a46-eca3f60b0001
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 40_1
557b9f51-d83c-476c-a84c-d240530c203d
", - "MV3.101 Bus 13
5f35664a-a4ef-4a48-849c-c4c058f6cffa
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 39
49840d95-2aa5-490c-90ad-556dfee4cb89
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 66
5b421400-8cdf-4847-bdbf-452ece1ed348
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 88
51f05c04-30ac-4430-b970-0081f1b6d8b1
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 96
ad120450-c8c2-4859-a7c4-f487fbe10824
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 69
8515f8eb-33d1-46c5-8467-ab12155a5474
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 58
53765bfa-5e7d-40e6-8b1f-88e6ac6e2bd9
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 142
26245e34-6c7f-4c21-a52f-733486b96eb1
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 127
5e3c4932-5022-40b3-a533-ff831bcf18b9
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 84
aba677f2-f1c5-409e-8587-05acecbe09a8
load=Count: 2, Rated Power: 1090.7 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 114_1
8252e667-afbf-4fff-b0b8-595f40b82273
", - "MV3.101 Bus 138
66f96b86-254e-4205-8cb8-c0634a8fa91a
load=Count: 1, Rated Power: 595.0 kw
fixed_feed_in=Count: 1, Rated Power: 252.3 kw", - "MV3.101 Bus 129
f768ffeb-1021-47d1-b606-9f15103988fc
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 130
0e3f552a-5dc5-4781-969e-13b0600e4deb
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 16
2aab5612-f39a-4cc1-bb96-056b873a6310
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 111
a670449b-2ffd-4bae-9e01-1d7aab6939f6
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 68
bd345c13-e871-4357-af6e-3969889ff035
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 51
52ac8b75-96b7-460e-a927-237d89a13663
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 40
a5ccf309-420a-474f-a6ed-96cb3ffa2e56
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 67
8b19ef59-b368-42eb-a754-12936b5d4d17
load=Count: 2, Rated Power: 647.7 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 136
e4da35ec-8275-424a-bee3-5dc1a8c3dfb8
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 44
8da74e62-9268-426e-8878-1f83c12e40e6
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 114
01dca738-329e-4c8d-900c-fd0f48acc874
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 30
13765175-44d3-4aa2-aa3e-7ed85822fcef
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 132
a9c53c7b-e700-4412-93be-348459028998
load=Count: 1, Rated Power: 595.0 kw
fixed_feed_in=Count: 1, Rated Power: 252.3 kw", - "MV3.101 Bus 63
eec4851e-6d4a-4710-aa77-83c9d4bfac28
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 38
61d6379d-b010-461e-96e5-921149c0c8b6
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 93
3342bab1-65b4-4a4b-a2e8-365a162ead81
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 135
b649cc84-5230-485a-808c-2078624d3681
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 24
5e880ada-8200-4681-8533-c759b0a8ec35
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 110
42a7a176-bb8b-4281-8ba4-b2a2486f6b90
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 97
46f61d50-fb44-491d-a4e6-468102797132
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 57
cd736b45-3d94-402d-b11b-2a0ece139b71
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 47
f5ffa031-1062-4c4e-9495-8e40e2b55e1b
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 20
98c94532-d796-4df2-864f-08b93b2244ab
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 113
380a3c84-fd4b-487c-b2de-00a3b19b27bc
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 118
8f65cec0-ee20-4f8c-8bdc-41f3218c067e
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 126
4920ef18-6e90-45e5-afaf-9e8b60eb6d0e
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 141
3342da5b-7e73-4fc5-af28-3d12619d9426
load=Count: 1, Rated Power: 595.0 kw
fixed_feed_in=Count: 1, Rated Power: 252.3 kw", - "MV3.101 Bus 22
a6f270ec-f5e8-4c3d-817d-664539f01387
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 140
6f477624-e576-4286-8d62-ea909e214a75
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 18_1
5d60f397-ce09-4dc5-87c9-0382e71c694e
", - "MV3.101 Bus 42
0dd3fdac-f05d-4e68-9611-a73f267ed9eb
load=Count: 2, Rated Power: 816.5 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 94
a21047e0-d924-42e0-a5e5-0998d65266a6
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 104_1
ef10dec9-bbbe-4fe9-856c-28f44b5551bf
", - "MV3.101 Bus 139
8559c7b0-c882-466d-8560-00c4db86956a
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 118_1
46b59740-e384-4038-beae-3de74fa9a3c6
", - "MV3.101 Bus 116
e386caca-6ea9-420c-b732-a79f55899458
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 135_1
fad370e8-1530-4310-8181-eacbd141642b
", - "MV3.101 Bus 21
3c849b73-7c59-46ec-aad2-b019beccb4c5
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 59
b0f1f7d4-4ddb-4a56-91ad-e85590714c87
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 12
dc68cf3e-ecb0-4740-a561-de6316c7376d
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 90
d873af06-2e6e-4629-9c42-a30b4aeb4fa7
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 72
a41231cc-4836-4343-b236-396720582e32
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 133
8c073498-b9e2-439d-94a8-63f68f56f192
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 108
0e96dffd-d5ea-4f2c-a133-bacb7a85ca31
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 121
ef1b266d-3f64-4f9e-a5c5-49ab174370a6
load=Count: 1, Rated Power: 595.0 kw
fixed_feed_in=Count: 1, Rated Power: 252.3 kw", - "MV3.101 Bus 62
3ecf3284-5919-49ba-a60a-22996f8bc202
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 26
6e136d5d-19d7-4556-88a3-3dbdd803c6b1
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 61
393881b0-3b78-413f-b065-03d216803c87
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 29
1d219ef0-079c-4df8-8449-e80cb2af6793
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 131
6588b688-92b7-4863-811d-fb86b70e89ad
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 87
81f7b5c4-8ebf-4b8a-8731-f0c67a6e8611
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 70
090d13e8-3cce-4793-816f-4c50f23f3f7f
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 89
16449d90-cc56-48b9-8067-97986b715758
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 36
8bf1ca07-f887-43ec-9e10-f360c0644954
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 74
09153599-9b88-49f8-aecd-d57d8ab9e2b6
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 83
32145578-706b-47e5-86ae-217d9a41867c
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 54
0f9e330f-7db2-48d6-8d07-8741f294f4a9
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 95
2dcbdf1e-c956-46f1-9c60-2e0aa45053d4
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 23
00933d03-18e0-4681-a7d3-b94cac5ada41
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 137
83e2fc45-c6d9-4a8e-8936-4c18b9da0b59
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 79
bebf3c0b-e658-438b-b5df-c0cc68d04479
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 101
265fe176-27b8-4d24-b805-68a258ef9077
load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 45
fd124414-dbc6-4f6b-90b5-34918ee7b8f6
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 35
fc4af780-3f60-42fc-bc69-d38fadf92050
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 109
27cd0e75-9471-4140-aaba-88a8ef63c0b7
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 104
9e018a70-4da0-4f41-9a45-455b1173c3d2
load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 65
b69ecf26-16ee-4b41-a996-b76563c58c1a
load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 112
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load=Count: 1, Rated Power: 594.9 kw
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fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 114
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fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 30
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fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 132
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load=Count: 1, Rated Power: 595.0 kw
fixed_feed_in=Count: 1, Rated Power: 252.3 kw", - "MV3.101 Bus 63
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load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 38
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fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 93
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fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 135
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load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 24
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load=Count: 1, Rated Power: 594.9 kw
fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 110
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fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 97
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fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 57
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load=Count: 1, Rated Power: 668.0 kw
fixed_feed_in=Count: 1, Rated Power: 171.2 kw", - "MV3.101 Bus 47
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fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 118
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fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 126
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fixed_feed_in=Count: 1, Rated Power: 184.7 kw", - "MV3.101 Bus 141
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fixed_feed_in=Count: 1, Rated Power: 252.3 kw", - "MV3.101 Bus 22
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load=Count: 1, Rated Power: 362.9 kw
fixed_feed_in=Count: 1, Rated Power: 172.2 kw", - "MV3.101 Bus 140
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load=Count: 1, Rated Power: 362.9 kw
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load=Count: 1, Rated Power: 668.0 kw
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load=Count: 1, Rated Power: 594.9 kw
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load=Count: 1, Rated Power: 595.0 kw
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load=Count: 1, Rated Power: 362.9 kw
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load=Count: 1, Rated Power: 668.0 kw
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"markers", + "showlegend": false, "type": "scattermapbox" } ], @@ -5605,7 +5767,7 @@ }, "colorscale": [ [ - 0, + 0.0, "#0d0887" ], [ @@ -5641,7 +5803,7 @@ "#fdca26" ], [ - 1, + 1.0, "#f0f921" ] ], @@ -5665,7 +5827,7 @@ }, "colorscale": [ [ - 0, + 0.0, "#0d0887" ], [ @@ -5701,64 +5863,13 @@ "#fdca26" ], [ - 1, + 1.0, "#f0f921" ] ], "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": { @@ -5779,7 +5890,7 @@ }, "colorscale": [ [ - 0, + 0.0, "#0d0887" ], [ @@ -5815,7 +5926,7 @@ "#fdca26" ], [ - 1, + 1.0, "#f0f921" ] ], @@ -5830,7 +5941,7 @@ }, "colorscale": [ [ - 0, + 0.0, "#0d0887" ], [ @@ -5866,7 +5977,7 @@ "#fdca26" ], [ - 1, + 1.0, "#f0f921" ] ], @@ -5959,6 +6070,17 @@ "type": "scattergl" } ], + "scattermap": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattermap" + } + ], "scattermapbox": [ { "marker": { @@ -6011,7 +6133,7 @@ }, "colorscale": [ [ - 0, + 0.0, "#0d0887" ], [ @@ -6047,7 +6169,7 @@ "#fdca26" ], [ - 1, + 1.0, "#f0f921" ] ], @@ -6138,7 +6260,7 @@ ], "sequential": [ [ - 0, + 0.0, "#0d0887" ], [ @@ -6174,13 +6296,13 @@ "#fdca26" ], [ - 1, + 1.0, "#f0f921" ] ], "sequentialminus": [ [ - 0, + 0.0, "#0d0887" ], [ @@ -6216,7 +6338,7 @@ "#fdca26" ], [ - 1, + 1.0, "#f0f921" ] ] @@ -6353,6 +6475,7 @@ } ], "source": [ + "# NBVAL_SKIP\n", "from pypsdm.plots.grid import grid_plot\n", "\n", "# Use the grid_plot method to visualize the grid model\n", @@ -6463,7 +6586,7 @@ "2016-01-02 04:00:00 -1.776910 1.029577" ] }, - "execution_count": 6, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -6524,7 +6647,7 @@ "Index: []" ] }, - "execution_count": 7, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -6582,7 +6705,7 @@ "Index: []" ] }, - "execution_count": 8, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -6671,7 +6794,7 @@ "2016-01-02 04:00:00 0.169063 0.056043" ] }, - "execution_count": 9, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -6761,7 +6884,7 @@ "2016-01-02 04:00:00 0.202280 0.071568" ] }, - "execution_count": 10, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -6848,7 +6971,7 @@ "2016-01-02 04:00:00 12.256203 4.184011" ] }, - "execution_count": 11, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -7118,12 +7241,13 @@ "[5 rows x 139 columns]" ] }, - "execution_count": 12, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "# NBVAL_IGNORE_OUTPUT\n", "# If you care about a specific attribute of all entities in a result dict you can assemble\n", "# a data frame with all time series of all entities in the dict\n", "loads_res_p = loads_res.p().head()\n", @@ -7493,13 +7617,14 @@ "[5 rows x 139 columns]" ] }, - "execution_count": 13, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# By default the data frame uses the ids of the loads if available instead of the uuids.\n", + "# NBVAL_IGNORE_OUTPUT\n", + "# By default, the data frame uses the ids of the loads if available instead of the uuids.\n", "# You can change this behavior with the favor_ids argument\n", "loads_res_p = loads_res.p(favor_ids=False).head()\n", "loads_res_p" @@ -7605,7 +7730,7 @@ "2016-01-02 04:00:00 -2.044741 1.021885 0.195353 0.088521" ] }, - "execution_count": 14, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -7719,7 +7844,7 @@ "[145 rows x 1 columns]" ] }, - "execution_count": 15, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -7759,7 +7884,6 @@ " \n", " \n", " cos_phi_rated\n", - " dsm\n", " e_cons_annual\n", " id\n", " load_profile\n", @@ -7782,14 +7906,12 @@ " \n", " \n", " \n", - " \n", " \n", " \n", " \n", " \n", " a0330517-9705-4d0a-bcaf-71f203cd6187\n", " 0.93\n", - " False\n", " 0.0\n", " MV3.101 Load 61\n", " No load profile assigned\n", @@ -7805,9 +7927,9 @@ "
" ], "text/plain": [ - " cos_phi_rated dsm e_cons_annual \\\n", - "uuid \n", - "a0330517-9705-4d0a-bcaf-71f203cd6187 0.93 False 0.0 \n", + " cos_phi_rated e_cons_annual \\\n", + "uuid \n", + "a0330517-9705-4d0a-bcaf-71f203cd6187 0.93 0.0 \n", "\n", " id \\\n", "uuid \n", @@ -7830,12 +7952,13 @@ "a0330517-9705-4d0a-bcaf-71f203cd6187 cosPhiFixed:{(0.0,0.93)} 668.0 " ] }, - "execution_count": 16, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "# NBVAL_IGNORE_OUTPUT\n", "# Let's say you want to make sure that all the load is actually connected to the\n", "# node that we have filtered for\n", "load_uuids = list(nodal_gwr.loads.keys())\n", @@ -7944,7 +8067,7 @@ "2016-01-04 11:00:00 103 97 135 node 103.308051" ] }, - "execution_count": 2, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -7963,25 +8086,7 @@ ] } ], - "metadata": { - "kernelspec": { - "display_name": "pypsdm-sJkpnJQv-py3.11", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.5" - } - }, + "metadata": {}, "nbformat": 4, "nbformat_minor": 2 } diff --git a/poetry.lock b/poetry.lock index 5e71c4d8..16716b8b 100644 --- a/poetry.lock +++ b/poetry.lock @@ -38,7 +38,7 @@ version = "0.1.4" description = "Disable App Nap on macOS >= 10.9" optional = false python-versions = ">=3.6" -groups = ["dev"] +groups = ["main", "dev"] markers = "platform_system == \"Darwin\"" files = [ {file = "appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c"}, @@ -125,7 +125,7 @@ version = "3.0.0" description = "Annotate AST trees with source code positions" optional = false python-versions = ">=3.8" -groups = ["dev"] +groups = ["main", "dev"] files = [ {file = "asttokens-3.0.0-py3-none-any.whl", hash = "sha256:e3078351a059199dd5138cb1c706e6430c05eff2ff136af5eb4790f9d28932e2"}, {file = "asttokens-3.0.0.tar.gz", hash = "sha256:0dcd8baa8d62b0c1d118b399b2ddba3c4aff271d0d7a9e0d4c1681c79035bbc7"}, @@ -153,7 +153,7 @@ version = "25.3.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.8" -groups = ["dev"] +groups = ["main", "dev"] files = [ {file = "attrs-25.3.0-py3-none-any.whl", hash = "sha256:427318ce031701fea540783410126f03899a97ffc6f61596ad581ac2e40e3bc3"}, {file = "attrs-25.3.0.tar.gz", hash = "sha256:75d7cefc7fb576747b2c81b4442d4d4a1ce0900973527c011d1030fd3bf4af1b"}, @@ -289,7 +289,7 @@ version = "1.17.1" description = "Foreign Function Interface for Python calling C code." optional = false python-versions = ">=3.8" -groups = ["dev"] +groups = ["main", "dev"] files = [ {file = "cffi-1.17.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = 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"sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"}, ] +markers = {main = "implementation_name == \"pypy\""} [[package]] name = "pydantic" @@ -2982,7 +3119,7 @@ version = "2.19.2" description = "Pygments is a syntax highlighting package written in Python." optional = false python-versions = ">=3.8" -groups = ["dev"] +groups = ["main", "dev"] files = [ {file = "pygments-2.19.2-py3-none-any.whl", hash = "sha256:86540386c03d588bb81d44bc3928634ff26449851e99741617ecb9037ee5ec0b"}, {file = "pygments-2.19.2.tar.gz", hash = "sha256:636cb2477cec7f8952536970bc533bc43743542f70392ae026374600add5b887"}, @@ -3029,7 +3166,7 @@ version = "8.4.1" description = "pytest: simple powerful testing with Python" optional = false python-versions = ">=3.9" -groups = ["dev"] +groups = ["main", "dev"] files = [ {file = "pytest-8.4.1-py3-none-any.whl", hash = "sha256:539c70ba6fcead8e78eebbf1115e8b589e7565830d7d006a8723f19ac8a0afb7"}, {file = "pytest-8.4.1.tar.gz", hash = "sha256:7c67fd69174877359ed9371ec3af8a3d2b04741818c51e5e99cc1742251fa93c"}, @@ -3108,7 +3245,7 @@ version = "311" description = "Python for Window Extensions" optional = false python-versions = "*" -groups = ["dev"] +groups = ["main", "dev"] markers = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\"" files = [ {file = "pywin32-311-cp310-cp310-win32.whl", hash = "sha256:d03ff496d2a0cd4a5893504789d4a15399133fe82517455e78bad62efbb7f0a3"}, @@ -3220,7 +3357,7 @@ version = "27.0.1" description = "Python bindings for 0MQ" optional = false python-versions = ">=3.8" -groups = ["dev"] +groups = ["main", "dev"] files = [ {file = "pyzmq-27.0.1-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:90a4da42aa322de8a3522461e3b5fe999935763b27f69a02fced40f4e3cf9682"}, {file = "pyzmq-27.0.1-cp310-cp310-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:e648dca28178fc879c814cf285048dd22fd1f03e1104101106505ec0eea50a4d"}, @@ -3325,7 +3462,7 @@ version = "0.36.2" description = "JSON Referencing + Python" optional = false python-versions = ">=3.9" -groups = ["dev"] +groups = ["main", "dev"] files = [ {file = "referencing-0.36.2-py3-none-any.whl", hash = "sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0"}, {file = "referencing-0.36.2.tar.gz", hash = "sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa"}, @@ -3424,7 +3561,7 @@ version = "0.27.0" description = "Python bindings to Rust's persistent data structures (rpds)" optional = false python-versions = ">=3.9" -groups = ["dev"] +groups = ["main", "dev"] files = [ {file = "rpds_py-0.27.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:130c1ffa5039a333f5926b09e346ab335f0d4ec393b030a18549a7c7e7c2cea4"}, {file = "rpds_py-0.27.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a4cf32a26fa744101b67bfd28c55d992cd19438aff611a46cac7f066afca8fd4"}, @@ -3872,7 +4009,7 @@ version = "0.6.3" description = "Extract data from python stack frames and tracebacks for informative displays" optional = false python-versions = "*" -groups = ["dev"] +groups = ["main", "dev"] files = [ {file = "stack_data-0.6.3-py3-none-any.whl", hash = "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695"}, {file = "stack_data-0.6.3.tar.gz", hash = "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9"}, @@ -3945,7 +4082,7 @@ version = "6.5.2" description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed." optional = false python-versions = ">=3.9" -groups = ["dev"] +groups = ["main", "dev"] files = [ {file = "tornado-6.5.2-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:2436822940d37cde62771cff8774f4f00b3c8024fe482e16ca8387b8a2724db6"}, {file = "tornado-6.5.2-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:583a52c7aa94ee046854ba81d9ebb6c81ec0fd30386d96f7640c96dad45a03ef"}, @@ -3967,7 +4104,7 @@ version = "5.14.3" description = "Traitlets Python configuration system" optional = false python-versions = ">=3.8" -groups = ["dev"] +groups = ["main", "dev"] files = [ {file = "traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f"}, {file = "traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7"}, @@ -4088,7 +4225,7 @@ version = "0.2.13" description = "Measures the displayed width of unicode strings in a terminal" optional = false python-versions = "*" -groups = ["dev"] +groups = ["main", "dev"] files = [ {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"}, {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"}, @@ -4166,4 +4303,4 @@ dev = ["black (>=19.3b0) ; python_version >= \"3.6\"", "pytest (>=4.6.2)"] [metadata] lock-version = "2.1" python-versions = ">3.11,<3.13" -content-hash = "6ab1cb52a5db9d1d256c021da536e679790e5df9b0716e01cb7cf690e1bdf07b" +content-hash = "9d75c18bcb7dc45be4e6f28fda16c17707bdfe59af29f2af8675bd6f62f9a60e" diff --git a/pyproject.toml b/pyproject.toml index 7f2d7013..8024c65e 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -22,6 +22,7 @@ numba = "^0.61.2" scipy = "^1.16.1" # required by numba geoalchemy2 = "^0.18.0" psycopg2-binary = "^2.9.10" +nbval = "^0.11.0" [tool.poetry.group.dev.dependencies] pytest = "^8.4.1" @@ -33,8 +34,7 @@ flake8-isort = "^6.0.0" pre-commit = "~=4.3.0" PyYAML = "^6.0" deptry = "^0.23.1" # find unused dependencies -nbconvert = "^7.16.6" -notebook = "^7.4.5" +nb-clean = "^4.0.1" [tool.isort] profile = "black" diff --git a/pypsdm/plots/grid.py b/pypsdm/plots/grid.py index 64dbbf79..b0344c44 100644 --- a/pypsdm/plots/grid.py +++ b/pypsdm/plots/grid.py @@ -3,6 +3,9 @@ import json from typing import TYPE_CHECKING, Optional, Union +import numpy as np +import pandas as pd +import plotly.express as px import plotly.graph_objs as go from pandas import Series from shapely.geometry import LineString @@ -18,9 +21,17 @@ def grid_plot( node_highlights: Optional[Union[dict[RGB, list[str]], list[str]]] = None, line_highlights: Optional[Union[dict[RGB, list[str]], list[str]]] = None, highlight_disconnected: Optional[bool] = False, + cmap_lines: Optional[str] = None, + cmap_line_values: Optional[Union[list, dict]] = None, + cbar_line_title: Optional[str] = None, + show_line_colorbar: bool = True, + cmap_nodes: Optional[str] = None, + cmap_node_values: Optional[Union[list, dict]] = None, + cbar_node_title: Optional[str] = None, + mapbox_style: Optional[str] = "open-street-map", ) -> go.Figure: """ - Plots the grid on an OpenStreetMap. Lines that are disconnected due to open switches will be grey. + Plots the grid on an OpenStreetMap. Supports Line and Node highlighting as well as colored map for line traces. Lines that are disconnected due to open switches will be grey. ATTENTION: We currently consider the node_b of the switches to be the auxiliary switch node. @@ -33,6 +44,17 @@ def grid_plot( List of uuids or dict[(r, g, b), str] with colors. line_highlights (Optional): Highlights lines. Defaults to None. List of uuids or dict[(r, g, b), str] with colors. + highlight_disconnected (Optional[bool]): Whether to highlight disconnected lines. + cmap_lines (Optional[str]): Name of a colormap (e.g., 'Viridis', 'Jet', 'Blues', etc.) used for the lines + cmap_line_values (Optional[Union[list, dict]]): Values for colormap line trace. Can be a list of values + or dict mapping line IDs to values. + cbar_line_title (Optional[str]): Title for the line colorbar. + show_line_colorbar (bool): Whether to show the colorbar for line colors. Defaults to True. + cmap_nodes (Optional[str]): Name of a colormap (e.g., 'Viridis', 'Jet', 'Blues', etc.) used for the nodes + cmap_node_values (Optional[Union[list, dict]]): Values for colormap node trace. Can be a list of values + or dict mapping node IDs to values. + cbar_node_title (Optional[str]): Title for the node colorbar. + mapbox_style (Optional[str]): Mapbox style. Defaults to open-street-map. Returns: Figure: Plotly figure. """ @@ -44,21 +66,136 @@ def grid_plot( disconnected_lines = grid.raw_grid.lines.filter_by_nodes(opened_switches.node_b) _, connected_lines = grid.raw_grid.lines.subset_split(disconnected_lines.uuid) - connected_lines.data.apply( - lambda line: _add_line_trace(fig, line, highlights=line_highlights), axis=1 # type: ignore + both_color_bars = ( + show_line_colorbar and cmap_lines is not None and cmap_nodes is not None ) + + if (show_line_colorbar and cmap_lines is not None) or cmap_nodes is not None: + # Plot white half transparent rectangle as background for color bars + x0_value = 0.85 if both_color_bars else 0.925 + fig.add_shape( + type="rect", + x0=x0_value, + x1=1.0, + y0=0.0, + y1=1.0, + fillcolor="rgba(255, 255, 255, 0.5)", + line=dict(color="rgba(255, 255, 255, 0.0)"), + ) + + if cmap_lines and cmap_line_values is not None: + try: + value_dict, cmin, cmax = _process_colormap_values( + cmap_line_values, cmap_lines + ) + except Exception as e: + print(f"Error processing colormap values: {e}") + + connected_lines.data.apply( + lambda line: _add_line_trace( + fig, + line, + highlights=line_highlights, + cmap=cmap_lines, + value_dict=value_dict, + cbar_title=cbar_line_title, + show_colorbar=show_line_colorbar, + ), + axis=1, # type: ignore + ) + + if show_line_colorbar: + custom_colorscale = [ + [i / 10, f"rgb({int(255 * (i / 10))},0,{int(255 * (1 - i / 10))})"] + for i in range(11) + ] + lons, lats = _get_lons_lats(grid.lines.geo_position.iloc[0]) + + # Add a separate trace for line colorbar (using a single point) + fig.add_trace( + go.Scattermapbox( + mode="markers", + lon=[lons[0]], + lat=[lats[0]], + marker=dict( + size=0.1, + opacity=0, + color="#008000", + colorscale=( + custom_colorscale + if cmap_lines == "fixed_line_rating_scale" + else cmap_lines + ), + cmin=( + cmin if not cmap_lines == "fixed_line_rating_scale" else 0.0 + ), + cmax=( + cmax if not cmap_lines == "fixed_line_rating_scale" else 1.0 + ), # fixme check for values > 1.0 + colorbar=dict( + title=dict( + text=cbar_line_title or "Line Value", + font=dict( + size=12, + weight="normal", + style="normal", + color="#000000", + ), + ), + x=x0_value, + tickvals=( + [i / 10 for i in range(11)] + if cmap_lines == "fixed_line_rating_scale" + else None + ), + ticktext=( + [f"{round(i / 10.0, 2)}" for i in range(11)] + if cmap_lines == "fixed_line_rating_scale" + else None + ), + thickness=15, + len=0.85, + tickfont=dict( + size=12, + weight="normal", + style="normal", + color="#000000", + ), + ), + showscale=True, + ), + hoverinfo="skip", + showlegend=False, + ) + ) + else: + connected_lines.data.apply( + lambda line: _add_line_trace(fig, line, is_disconnected=False, highlights=line_highlights), axis=1 # type: ignore + ) + disconnected_lines.data.apply( lambda line: _add_line_trace( fig, line, - highlights=line_highlights, is_disconnected=True, + highlights=line_highlights, highlight_disconnected=highlight_disconnected, ), # type: ignore axis=1, ) - _add_node_trace(fig, grid, node_highlights) + if cmap_nodes and cmap_node_values is not None: + _add_node_trace( + fig, + grid, + highlights=node_highlights, + cmap=cmap_nodes, + cmap_node_values=cmap_node_values, + cbar_node_title=cbar_node_title, + ) + + else: + _add_node_trace(fig, grid, highlights=node_highlights) center_lat = grid.raw_grid.nodes.data["latitude"].mean() center_lon = grid.raw_grid.nodes.data["longitude"].mean() @@ -78,55 +215,187 @@ def grid_plot( fig.update_layout( # mapbox = {"zoom"=10}, showlegend=False, - mapbox_style="open-street-map", + mapbox_style=mapbox_style, margin={"r": 0, "t": 0, "l": 0, "b": 0}, mapbox=dict( center=dict(lat=center_lat, lon=center_lon), zoom=zoom, # Adjust the zoom level as per the calculated heuristic - style="open-street-map", + style=mapbox_style, ), ) return fig +def _process_colormap_values(cmap_vals: dict, cmap) -> (dict, float, float): + """Process colormap values and return a dictionary with original values in case of fixed scale or one with normalized data.""" + values = [] + uuids = [] + + if isinstance(cmap_vals, dict): + for uuid, inner_dict in cmap_vals.items(): + if isinstance(inner_dict, dict) and len(inner_dict) == 1: + # Extract the first (and only) value from each inner dict + value = list(inner_dict.values())[0] + values.append(value) + uuids.append(uuid) + else: + raise ValueError( + f"Expected inner_dict for {uuid} to be a dictionary with one item." + ) + else: + raise ValueError("Expected cmap_vals to be a dictionary.") + + values = np.array(values) + + cmin = np.min(values) + cmax = np.max(values) + + if cmap != "fixed_line_rating_scale": + # Normalize values to 0-1 range + normalized_values = ( + (values - cmin) / (cmax - cmin) if cmax != cmin else np.zeros_like(values) + ) + normalized_dict = { + uuid: norm_value for uuid, norm_value in zip(uuids, normalized_values) + } + + return normalized_dict, cmin, cmax + else: + value_dict = {uuid: value for uuid, value in zip(uuids, values)} + return value_dict, cmin, cmax + + +def _get_colormap_color(value, cmap): + """Get color from colormap based on value.""" + value = min(max(value, 0), 1) + + if cmap == "fixed_line_rating_scale": + # Use Fixed Scale + colorscale = [] + for i in range(11): + # Calculate the interpolation factor + factor = i / (11 - 1) + + # Interpolate RGB values + r = int(255 * factor) # Red increases from 0 to 255 + g = 0 # Green remains at 0 + b = int(255 * (1 - factor)) # Blue decreases from 255 to 0 + + rgb_color = f"rgb({r},{g},{b})" + colorscale.append([factor, rgb_color]) + index = int( + value * (len(colorscale) - 1) + ) # This gives us an index between 0 and len(colorscale)-1 + rgb_string = colorscale[index][1] # Get the corresponding RGB color + else: + # Use Plotly's colorscale to get the color + colorscale = px.colors.get_colorscale(cmap) + index = int(value * (len(colorscale) - 1)) + + color_str = colorscale[index] + rgb_string = color_str[1] + # Remove 'rgb(' and ')' and split by commas + rgb_values = list(map(int, rgb_string[4:-1].split(","))) + hex_string = "#%02x%02x%02x" % ( + int(rgb_values[0]), + int(rgb_values[1]), + int(rgb_values[2]), + ) + return hex_string + + def _add_line_trace( fig: go.Figure, line_data: Series, is_disconnected: bool = False, highlights: Optional[Union[dict[tuple, str], list[str]]] = None, highlight_disconnected: Optional[bool] = False, + cmap: Optional[str] = None, + value_dict: Optional[dict] = None, + cbar_title: Optional[str] = None, + show_colorbar: bool = True, ): + """Enhanced line trace function with colormap support.""" lons, lats = _get_lons_lats(line_data.geo_position) hover_text = line_data["id"] - color = GREEN + line_color = rgb_to_hex(GREEN) highlighted = False + + colormap_value = None + + line_id = line_data.name if hasattr(line_data, "name") else line_data["id"] + if not is_disconnected: + if cmap and value_dict and line_id in value_dict.keys(): + value = value_dict[line_id] + colormap_value = _get_colormap_color(value, cmap) + use_colorbar = True + else: + colormap_value = "#008000" + use_colorbar = False + + # Check for highlights (overrides colormap) if isinstance(highlights, dict): - for line_color, lines in highlights.items(): + for color, lines in highlights.items(): if line_data.name in lines: # type: ignore - color = line_color + line_color = rgb_to_hex(color) highlighted = True + use_colorbar = False elif highlights is not None: if line_data.name in highlights: - color = RED + line_color = rgb_to_hex(RED) highlighted = True + use_colorbar = False + # Handle disconnected lines if (highlight_disconnected is False) and is_disconnected: # Highlights override the disconnected status if not highlighted: - color = GREY - - # Add the lines - fig.add_trace( - go.Scattermapbox( - mode="lines", - lon=lons, - lat=lats, - hoverinfo="skip", # Skip hoverinfo for the lines - line=dict(color=rgb_to_hex(color)), - ), - ) + line_color = rgb_to_hex(GREY) + use_colorbar = False + + if cmap and colormap_value is not None: + hover_text += f"
{cbar_title or 'Value'}: {value:.3f}" + + # Add the lines with or without colorbar + if colormap_value is not None: + if use_colorbar and show_colorbar is not None: + # Add line with colorbar support + fig.add_trace( + go.Scattermapbox( + mode="lines", + lon=lons, + lat=lats, + hoverinfo="skip", + line=dict(color=colormap_value, width=2), + showlegend=False, + ) + ) + else: + # Add regular line without colorbar + fig.add_trace( + go.Scattermapbox( + mode="lines", + lon=lons, + lat=lats, + hoverinfo="skip", # Skip hoverinfo for the lines + line=dict(color=line_color, width=2), + showlegend=False, + ) + ) + else: + # Add regular line without colormap + fig.add_trace( + go.Scattermapbox( + mode="lines", + lon=lons, + lat=lats, + hoverinfo="skip", # Skip hoverinfo for the lines + line=dict(color=line_color, width=2), + showlegend=False, + ) + ) # Create a LineString object from the line's coordinates line = LineString(zip(lons, lats)) @@ -142,7 +411,8 @@ def _add_line_trace( lat=[midpoint.y], hoverinfo="text", hovertext=hover_text, - marker=dict(size=0, opacity=0, color=rgb_to_hex(color)), + marker=dict(size=0, opacity=0, color=line_color), + showlegend=False, ) ) @@ -151,73 +421,141 @@ def _add_node_trace( fig: go.Figure, grid: GridContainer, highlights: Optional[Union[dict[tuple, str], list[str]]] = None, + cmap: Optional[str] = None, + cmap_node_values: Optional[dict] = None, + cbar_node_title: Optional[str] = None, ): - node_hover_data = grid.get_nodal_sp_count_and_power() - nodes_data = grid.raw_grid.nodes.data + """ + Node trace function with colormap support. - def to_hover_text(node_data: Series): - if node_data.name not in node_hover_data: - raise ValueError( - f"Node with uuid: {node_data.name} not found in node_hover_data" - ) + Args: + fig (go.Figure): The Plotly figure object. + grid (GridContainer): The grid container holding node data. + highlights (Optional): Highlights nodes. Defaults to None. + List of uuids or dict[(r, g, b), str] with colors. + cmap (Optional[str]): Name of a colormap (e.g., 'Viridis', 'Jet', etc.). + cmap_node_values (Optional[dict]): Dictionary mapping node IDs to values for colormap. + cbar_node_title (Optional[str]): Title for the colorbar. - return ( - node_data["id"] - + "
" - + node_data.name - + "
" - + "
".join( - [ - f"{key}={value}" - for key, value in node_hover_data[node_data.name].items() - ] - ) + Returns: + Updates the given figure object with node traces and optional colorbar. + """ + + # Hover text generation + def to_hover_text_nodes(node: pd.Series): + hover_text = f"ID: {node.id}
" + + if cmap_node_values is not None: + voltage_magnitude = cmap_node_values.get(node.name) + if voltage_magnitude is not None: + voltage_magnitude_str = f"{round(voltage_magnitude, 5)} pu" + hover_text += f"Voltage Magnitude: {voltage_magnitude_str}
" + + hover_text += ( + f"Latitude: {node['latitude']:.6f}
" + f"Longitude: {node['longitude']:.6f}" ) - def _node_trace(data, color): - text = data.apply(lambda node_data: to_hover_text(node_data), axis=1).to_list() + return hover_text + + # Determine colors based on either highlights or cmap + def _get_node_color(node_uuid): + if highlights is not None: + # Handle explicit highlights first + if isinstance(highlights, dict): + for color, nodes in highlights.items(): + if node_uuid in nodes: + return rgb_to_hex(color) + elif isinstance(highlights, list) and node_uuid in highlights: + return rgb_to_hex(RED) # Default highlight color is red + + # Handle colormap-based coloring + if ( + cmap is not None + and cmap_node_values is not None + and node_uuid in cmap_node_values.keys() + ): + value = cmap_node_values[node_uuid] + # Normalize values between 0-1 + normalized_value = (value - cmin) / (cmax - cmin) if cmax != cmin else 0.5 + return _get_colormap_color(normalized_value, cmap) + + return rgb_to_hex(BLUE) + + nodes_data = grid.raw_grid.nodes.data + if cmap and cmap_node_values is not None: + cmin = 0.9 + cmax = 1.1 + + # Create a custom colorscale for the colorbar + custom_colorscale = px.colors.get_colorscale(cmap) + # Add a separate trace for colorbar fig.add_trace( go.Scattermapbox( mode="markers", - lon=data["longitude"], - lat=data["latitude"], - hovertext=text, - hoverinfo="text", - marker=dict(size=6, color=rgb_to_hex(color)), - text=text, + lon=[nodes_data["longitude"].mean()], + lat=[nodes_data["latitude"].mean()], + marker=dict( + size=0.1, + opacity=0, + colorscale=custom_colorscale, + cmin=0.9, + cmax=1.1, + colorbar=dict( + title=dict( + text=cbar_node_title or "Node Value", + font=dict(size=12, color="#000000"), + ), + x=0.925, + tickvals=( + [ + 0.9 + i * 2 / 100 for i in range(11) + ] # FIXME maybe the upper and lower value is not at the max / min pos -> see lines... + ), + ticktext=([f"{round(0.9 + i*2 / 100, 2)}" for i in range(11)]), + thickness=10, + len=0.85, + tickfont=dict( + size=12, weight="normal", style="normal", color="#000000" + ), + ), + ), + hoverinfo="skip", + showlegend=False, ) ) - if highlights is not None: - if isinstance(highlights, dict): - # plot not highlighted nodes first - rmd = [] - for nodes in highlights.values(): - rmd.extend(nodes) - rmd = nodes_data.drop(rmd) - _node_trace(rmd, BLUE) - - # plot highlighted nodes second so they are on top - for color, nodes in highlights.items(): - highlighted_nodes = nodes_data.loc[nodes] - _node_trace(highlighted_nodes, color) - elif isinstance(highlights, list): - # plot not highlighted nodes first - rmd = nodes_data.drop(highlights) - _node_trace(rmd, BLUE) - - # plot highlighted nodes second so they are on top - highlighted_nodes = nodes_data.loc[highlights] - _node_trace(highlighted_nodes, RED) - else: - raise ValueError( - "Invalid type for highlights. We expect a list of ids or a dict of colors and ids." - ) - else: - _node_trace(nodes_data, BLUE) + hover_texts = nodes_data.apply( + lambda node_data: to_hover_text_nodes(node_data), axis=1 + ) + + node_colors = {} + for _, node_data in nodes_data.iterrows(): + node_colors[node_data.name] = _get_node_color(node_data.name) + + # Create a color list based on the ID column in nodes_data + color_list = [] + for node_uuid in nodes_data.index: + color = node_colors.get( + node_uuid, rgb_to_hex(BLUE) + ) # Default to blue if no color found + color_list.append(color) + + fig.add_trace( + go.Scattermapbox( + mode="markers", + lon=nodes_data["longitude"], + lat=nodes_data["latitude"], + hovertext=hover_texts, + hoverinfo="text", + marker=dict(size=8, color=color_list), + showlegend=False, + ) + ) def _get_lons_lats(geojson: str): + """Extract longitude and latitude coordinates from GeoJSON string.""" coordinates = json.loads(geojson)["coordinates"] return list(zip(*coordinates)) # returns lons, lats diff --git a/scripts/convert_notebooks.py b/scripts/convert_notebooks.py deleted file mode 100644 index 84c022be..00000000 --- a/scripts/convert_notebooks.py +++ /dev/null @@ -1,18 +0,0 @@ -import subprocess - -config_path = "scripts/custom_clear_preprocessor.py" -notebook_pattern = "docs/nbs/*.ipynb" - -command = [ - "jupyter", - "nbconvert", - "--config", - config_path, - "--to", - "notebook", - "--output-dir", - "docs/nbs", - notebook_pattern, -] - -subprocess.run(command, check=True) diff --git a/scripts/custom_clear_preprocessor.py b/scripts/custom_clear_preprocessor.py deleted file mode 100644 index f37e4cc8..00000000 --- a/scripts/custom_clear_preprocessor.py +++ /dev/null @@ -1,18 +0,0 @@ -from nbconvert.preprocessors import ClearOutputPreprocessor -from traitlets.config import get_config - - -class CustomClearOutputPreprocessor(ClearOutputPreprocessor): - def preprocess(self, nb, resources): - for cell in nb.cells: - if cell.cell_type == "code": - cell.execution_count = None - - if "metadata" in cell: - cell.metadata = {} - - return nb, resources - - -c = get_config() -c.Exporter.preprocessors = [CustomClearOutputPreprocessor] diff --git a/tests/docs/__init__.py b/tests/docs/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/docs/nbs/__init__.py b/tests/docs/nbs/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/docs/nbs/test_notebooks.py b/tests/docs/nbs/test_notebooks.py new file mode 100644 index 00000000..9c0d99d3 --- /dev/null +++ b/tests/docs/nbs/test_notebooks.py @@ -0,0 +1,36 @@ +import pytest + +from pypsdm.io.utils import ROOT_DIR + + +def test_notebook_check_notebook_except_skipped_cells(): + args = [ + "--nbval", + "-v", + ROOT_DIR + "/docs/nbs/input_models.ipynb", + ROOT_DIR + "/docs/nbs/result_models.ipynb", + ] + + exit_code = pytest.main(args) + + # Check if there were any failures + if exit_code != 0: + raise Exception(f"Notebook tests failed with exit code {exit_code}.") + + +def test_notebook_only_for_errors_and_explicit_cell_checks(): + # only checking for errors in notebook, unless cell is marked for deeper check + args = [ + "--nbval-lax", + "-v", + ROOT_DIR + "/docs/nbs/plotting_utilities.ipynb", + ROOT_DIR + "/docs/nbs/plotting_utilities_colormap_lines_and_nodes.ipynb", + ROOT_DIR + "/docs/nbs/plotting_utilities_colormap_lines.ipynb", + ROOT_DIR + "/docs/nbs/plotting_utilities_colormap_nodes.ipynb", + ] + + exit_code = pytest.main(args) + + # Check if there were any failures + if exit_code != 0: + raise Exception(f"Notebook tests failed with exit code {exit_code}.")