{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Basic usage of SLAT\n",
    "\n",
    "> (Estimated time: ~0.5 min)\n",
    "\n",
    "In this vignette, we show how to use `SLAT` to align spatial datasets, using Stereo-seq data ([Chen. et al](https://www.sciencedirect.com/science/article/pii/S0092867422003993?via%3Dihub)) as an example. For demonstration purpose, we only subsample 6,000 cells from every dataset.\n",
    "\n",
    "You need following files as input:\n",
    "\n",
    "* Chen-Stereo_seq-E15.5-s1.h5ad: down sampled Stereo-seq dataset 1, download from [here](https://drive.google.com/uc?export=download&id=1AGxVhgrKF1zD1MNLrC0x032X5uF5blml)\n",
    "* Chen-Stereo_seq-E15.5-s2.h5ad: down sampled Stereo-seq dataset 2, download from [here](https://drive.google.com/uc?export=download&id=1GzTYTS232TPPzlnj9lGrc_CMkhuVM5h4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# uncomment this if you want to use interactive plot (only works in Jupyter not works in VScode)\n",
    "# %matplotlib widget\n",
    "\n",
    "import scanpy as sc\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "import scSLAT\n",
    "from scSLAT.model import Cal_Spatial_Net, load_anndatas, run_SLAT, spatial_match\n",
    "from scSLAT.viz import match_3D_multi, hist, Sankey"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "sc.set_figure_params(scanpy=True, dpi=100, dpi_save=150, frameon=True, vector_friendly=True, fontsize=14)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load datasets\n",
    "First, we need to prepare the single cell spatial data into `AnnData` objects. `AnnData` is the standard data class we use in `scSLAT`. See their [documentation](https://anndata.readthedocs.io/en/latest/index.html) for more details if you are unfamiliar, including how to construct `AnnData` objects from scratch, and how to read data in other formats (csv, mtx, loom, etc.) into `AnnData` objects.\n",
    "\n",
    "Here we just load existing `h5ad` files, which is the native file format for `AnnData`. The `h5ad` files used in this tutorial can be downloaded from here:\n",
    "\n",
    "* [https://drive.google.com/uc?export=download&id=1AGxVhgrKF1zD1MNLrC0x032X5uF5blml](https://drive.google.com/uc?export=download&id=1AGxVhgrKF1zD1MNLrC0x032X5uF5blml)\n",
    "* [https://drive.google.com/uc?export=download&id=1GzTYTS232TPPzlnj9lGrc_CMkhuVM5h4](https://drive.google.com/uc?export=download&id=1GzTYTS232TPPzlnj9lGrc_CMkhuVM5h4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "adata1 = sc.read_h5ad('./Chen-Stereo_seq-E15.5-s1.h5ad')\n",
    "adata2 = sc.read_h5ad('./Chen-Stereo_seq-E15.5-s2.h5ad')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To begin with, we suppose `adata.X` stores the raw UMI counts of scRNA-seq expression matrix, and `adata.obsm['spatial']` stores the spatail coordinates of every cell"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 6000 × 28798\n",
       "    obs: 'n_genes_by_counts', 'log1p_n_genes_by_counts', 'total_counts', 'log1p_total_counts', 'annotation', 'Regulon - AI987944', 'Brain_shapes', 'Face_shapes', 'Heart_shapes', 'Lung_shapes', 'Liver_shapes', 'Shapes_shapes', 'Belly_shapes', 'Back_shapes', 'region'\n",
       "    var: 'n_cells', 'n_cells_by_counts', 'mean_counts', 'log1p_mean_counts', 'pct_dropout_by_counts', 'total_counts'\n",
       "    uns: 'region_colors'\n",
       "    obsm: 'spatial', 'spatial_back'\n",
       "    varm: 'PCs'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then we visualize two datasets colored by cell type:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x400 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 376,
       "width": 818
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 400x400 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 376,
       "width": 813
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sc.pl.spatial(adata1, color=\"annotation\", spot_size=10)\n",
    "sc.pl.spatial(adata2, color=\"annotation\", spot_size=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Run SLAT\n",
    "SLAT need to build neighbor graphs based on cell-cell distance of every dataset respectively."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Calculating spatial neighbor graph ...\n",
      "The graph contains 68008 edges, 6000 cells.\n",
      "11.334666666666667 neighbors per cell on average.\n",
      "Calculating spatial neighbor graph ...\n",
      "The graph contains 56646 edges, 5000 cells.\n",
      "11.3292 neighbors per cell on average.\n"
     ]
    }
   ],
   "source": [
    "Cal_Spatial_Net(adata1, k_cutoff=10, model='KNN')\n",
    "Cal_Spatial_Net(adata2, k_cutoff=10, model='KNN')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then, SLAT extract cell gene expression features by a SVD-based matrix factorization algorithm (we named it 'DPCA'), and extract edges of graphs we built in previous step.\n",
    "> NOTE: SLAT support three built-in embedding algorithms (`DPCA`, `Harmony`, and `PCA`) currently. But you can use any embedding method manually."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Use DPCA feature to format graph\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/xiacr/.local/lib/python3.8/site-packages/anndata/_core/anndata.py:1763: FutureWarning: The AnnData.concatenate method is deprecated in favour of the anndata.concat function. Please use anndata.concat instead.\n",
      "\n",
      "See the tutorial for concat at: https://anndata.readthedocs.io/en/latest/concatenation.html\n",
      "  warnings.warn(\n",
      "/home/xiacr/.local/lib/python3.8/site-packages/scanpy/preprocessing/_normalization.py:169: UserWarning: Received a view of an AnnData. Making a copy.\n",
      "  view_to_actual(adata)\n",
      "/home/xiacr/.local/lib/python3.8/site-packages/scanpy/preprocessing/_simple.py:843: UserWarning: Received a view of an AnnData. Making a copy.\n",
      "  view_to_actual(adata)\n",
      "/home/xiacr/.local/lib/python3.8/site-packages/scanpy/preprocessing/_simple.py:843: UserWarning: Received a view of an AnnData. Making a copy.\n",
      "  view_to_actual(adata)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Warning! Dual PCA is using GPU, which may lead to OUT OF GPU MEMORY in big dataset!\n"
     ]
    }
   ],
   "source": [
    "edges, features = load_anndatas([adata1, adata2], feature='DPCA')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then we train SLAT model, it's very fast and finish in 10s.\n",
    "> Warning: SLAT default hyperparameter can handle most situation. You should not change them unless you know details very well."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Choose GPU:1 as device\n",
      "Running\n",
      "Training model time: 3.57\n"
     ]
    }
   ],
   "source": [
    "embd0, embd1, time = run_SLAT(features, edges)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Aligning and visualization \n",
    "Then we align the datasets base on SLAT embedding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "best, index, distance = spatial_match([embd0, embd1], adatas=[adata1,adata2], reorder=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "adata1_df = pd.DataFrame({'index': range(embd0.shape[0]),\n",
    "                        'x': adata1.obsm['spatial'][:,0],\n",
    "                        'y': adata1.obsm['spatial'][:,1],\n",
    "                        'celltype': adata1.obs['annotation']})\n",
    "adata2_df = pd.DataFrame({'index': range(embd1.shape[0]),\n",
    "                        'x': adata2.obsm['spatial'][:,0],\n",
    "                        'y': adata2.obsm['spatial'][:,1],\n",
    "                        'celltype': adata2.obs['annotation']})\n",
    "\n",
    "matching = np.array([range(index.shape[0]), best])\n",
    "best_match = distance[:,0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then we visualize the cell to cell matching, colored by cell type. By default, Blue line means correct match of cell type, red line is the opposite."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dataset1: 25 cell types; dataset2: 21 cell types; \n",
      "                    Total :25 celltypes; Overlap: 21 cell types \n",
      "                    Not overlap :[['Pancreas', 'Inner ear', 'Adipose tissue', 'Blood vessel']]\n",
      "Subsampled 300 pairs from 5000\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 700x800 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 566,
       "width": 565
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "multi_align = match_3D_multi(adata1_df, adata2_df, matching,meta='celltype',\n",
    "                            scale_coordinate=True, subsample_size=300)\n",
    "multi_align.draw_3D(size=[7, 8], line_width=1, point_size=[1.5,1.5], hide_axis=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Similarity score\n",
    "**Similarity score** means the confident of `SLAT` alignment. Regions with low similarity scores may 1) have biological difference; 2)cause by technology variance.\n",
    "We can also plot the distribution of the similarity score of aligned cells."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x400 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 377,
       "width": 410
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "hist(best_match, cut=0.8)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We also can visualize the similarity score spatially."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "adata2.obs['low_quality_index'] = best_match \n",
    "adata2.obs['low_quality_index'] = adata2.obs['low_quality_index'].astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x400 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 362,
       "width": 387
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sc.pl.spatial(adata2, color='low_quality_index', spot_size=20, title='Quality')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cell type level analysis \n",
    "We can check the cell type level corresponding via Sankey diagram."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "adata2_df['target_celltype'] = adata1_df.iloc[matching[1,:],:]['celltype'].to_list()\n",
    "matching_table = adata2_df.groupby(['celltype','target_celltype']).size().unstack(fill_value=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
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F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(u.stroke,e.bordercolor).call(u.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll(\"#\"+L).data(U?[0]:[]);V.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",L).append(\"rect\"),V.exit().remove();var H=e.font,q=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(q);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(Y).on(\"edit\",(function(r){e.text=r,this.call(Y),S(\"text\",r),y&&y.autorange&&M(y._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(Y)}else n.selectAll(\"#\"+L).remove();function Z(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function Y(r){return r.call(c.font,H).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),h.convertToTspans(r,t,W),r}function W(){var r=G.selectAll(\"a\");1===r.size()&&r.text()===G.text()&&R.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":r.attr(\"xlink:href\"),\"xlink:xlink:show\":r.attr(\"xlink:show\")}).style({cursor:\"pointer\"}).node().appendChild(j.node());var n=R.select(\".annotation-text-math-group\"),f=!n.empty(),v=c.bBox((f?n:G).node()),b=v.width,_=v.height,A=e.width||b,z=e.height||_,B=Math.round(A+2*N),H=Math.round(z+2*N);function q(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var Y=!1,W=[\"x\",\"y\"],X=0;X<W.length;X++){var 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yt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ft.head=o.constrain(ft.head,1,yt-1)),\"pixel\"===nt){var mt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-yt;mt>0?(ft.tail+=mt,ft.text+=mt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ct,ft.head+=ct}else K=tt=lt*q(Q,ut),ft.text=J+tt;ft.text+=ct,tt+=ct,K+=ct,e[\"_\"+et+\"padplus\"]=lt/2+K,e[\"_\"+et+\"padminus\"]=lt/2-K,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(Y)R.remove();else{var bt=0,_t=0;if(\"left\"!==e.align&&(bt=(A-b)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(_t=(z-_)*(\"middle\"===e.valign?.5:1)),f)n.select(\"svg\").attr({x:N+bt-1,y:N+_t}).call(c.setClipUrl,U?L:null,t);else{var wt=N+_t-v.top,Tt=N+bt-v.left;G.call(h.positionText,Tt,wt).call(c.setClipUrl,U?L:null,t)}V.select(\"rect\").call(c.setRect,N,N,A,z),j.call(c.setRect,F/2,F/2,B-F,H-F),R.call(c.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-H/2)),I.attr({transform:\"rotate(\"+P+\",\"+C.x.text+\",\"+C.y.text+\")\"});var kt,At=function(r,n){O.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,v=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,v,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),D=+j.attr(\"height\"),z=v-.5*L,F=z+L,B=b-.5*D,N=B+D,U=[[z,B,z,N],[z,N,F,N],[F,N,F,B],[F,B,z,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,H=e.arrowcolor,q=e.arrowside,G=O.append(\"g\").style({opacity:u.opacity(H)}).classed(\"annotation-arrow-g\",!0),Z=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(u.stroke,u.rgb(H));if(g(Z,q,e),k.annotationPosition&&Z.node().parentNode&&!a){var Y=l,W=f;if(e.standoff){var X=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));Y+=e.standoff*(h-l)/X,W+=e.standoff*(p-f)/X}var J,K,$=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-Y)+\",\"+(p-W),transform:s(Y,W)}).style(\"stroke-width\",V+6+\"px\").call(u.stroke,\"rgba(0,0,0,0)\").call(u.fill,\"rgba(0,0,0,0)\");d.init({element:$.node(),gd:t,prepFn:function(){var t=c.getTranslate(R);J=t.x,K=t.y,y&&y.autorange&&M(y._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(J,K),i=n[0]+t,a=n[1]+r;R.call(c.setTranslate,i,a),S(\"x\",m(y,t,\"x\",T,e)),S(\"y\",m(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",m(y,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",m(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),I.attr({transform:\"rotate(\"+P+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}};e.showarrow&&At(0,0),D&&d.init({element:R.node(),gd:t,prepFn:function(){kt=I.attr(\"transform\")},moveFn:function(t,r){var n=\"pointer\";if(e.showarrow)e.axref===e.xref?S(\"ax\",m(y,t,\"ax\",T,e)):S(\"ax\",e.ax+t),e.ayref===e.yref?S(\"ay\",m(x,r,\"ay\",T.w,e)):S(\"ay\",e.ay+r),At(t,r);else{if(a)return;var i,o;if(y)i=m(y,t,\"x\",T,e);else{var l=e._xsize/T.w,u=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(u+t/T.w,l,0,1,e.xanchor)}if(x)o=m(x,r,\"y\",T,e);else{var c=e._ysize/T.h,f=e.y-(e._yshift+e.yshift)/T.h-c/2;o=d.align(f-r/T.h,c,0,1,e.yanchor)}S(\"x\",i),S(\"y\",o),y&&x||(n=d.getCursor(y?.5:i,x?.5:o,e.xanchor,e.yanchor))}I.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit(\"plotly_clickannotation\",Z(n))},doneFn:function(){p(R),i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}}t.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&y(t,r);return a.previousPromises(t)},drawOne:y,drawRaw:x}},13011:function(t,e,r){\"use strict\";var n=r(39898),i=r(7901),a=r(82884),o=r(71828),s=o.strScale,l=o.strRotate,u=o.strTranslate;t.exports=function(t,e,r){var o,c,f,h,p=t.node(),d=a[r.arrowhead||0],v=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),y=(r.arrowwidth||1)*(r.startarrowsize||1),m=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,b=d.backoff*g+r.standoff,_=v.backoff*y+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},c={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-c.x,T=o.y-c.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void D();if(b){if(b*b>w*w+T*T)return void D();var k=b*Math.cos(f),A=b*Math.sin(f);c.x+=k,c.y+=A,t.attr({x2:c.x,y2:c.y})}if(_){if(_*_>w*w+T*T)return void D();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if(\"path\"===p.nodeName){var E=p.getTotalLength(),L=\"\";if(E<b+_)return void D();var C=p.getPointAtLength(0),P=p.getPointAtLength(.1);f=Math.atan2(C.y-P.y,C.x-P.x),o=p.getPointAtLength(Math.min(_,E)),L=\"0px,\"+_+\"px,\";var O=p.getPointAtLength(E),I=p.getPointAtLength(E-.1);h=Math.atan2(O.y-I.y,O.x-I.x),c=p.getPointAtLength(Math.max(0,E-b)),L+=E-(L?_+b:b)+\"px,\"+E+\"px\",t.style(\"stroke-dasharray\",L)}function D(){t.style(\"stroke-dasharray\",\"0px,100px\")}function z(e,a,o,c){e.path&&(e.noRotate&&(o=0),n.select(p.parentNode).append(\"path\").attr({class:t.attr(\"class\"),d:e.path,transform:u(a.x,a.y)+l(180*o/Math.PI)+s(c)}).style({fill:i.rgb(r.arrowcolor),\"stroke-width\":0}))}m&&z(v,o,f,y),x&&z(d,c,h,g)}},32745:function(t,e,r){\"use strict\";var n=r(92605),i=r(44317);t.exports={moduleType:\"component\",name:\"annotations\",layoutAttributes:r(50215),supplyLayoutDefaults:r(84046),includeBasePlot:r(76325)(\"annotations\"),calcAutorange:r(3749),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:r(94128)}},26997:function(t,e,r){\"use strict\";var n=r(50215),i=r(30962).overrideAll,a=r(44467).templatedArray;t.exports=i(a(\"annotation\",{visible:n.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),\"calc\",\"from-root\")},5485:function(t,e,r){\"use strict\";var n=r(71828),i=r(89298);function a(t,e){var r=e.fullSceneLayout.domain,a=e.fullLayout._size,o={pdata:null,type:\"linear\",autorange:!1,range:[-1/0,1/0]};t._xa={},n.extendFlat(t._xa,o),i.setConvert(t._xa),t._xa._offset=a.l+r.x[0]*a.w,t._xa.l2p=function(){return.5*(1+t._pdata[0]/t._pdata[3])*a.w*(r.x[1]-r.x[0])},t._ya={},n.extendFlat(t._ya,o),i.setConvert(t._ya),t._ya._offset=a.t+(1-r.y[1])*a.h,t._ya.l2p=function(){return.5*(1-t._pdata[1]/t._pdata[3])*a.h*(r.y[1]-r.y[0])}}t.exports=function(t){for(var e=t.fullSceneLayout.annotations,r=0;r<e.length;r++)a(e[r],t);t.fullLayout._infolayer.selectAll(\".annotation-\"+t.id).remove()}},20226:function(t,e,r){\"use strict\";var n=r(71828),i=r(89298),a=r(85501),o=r(25625),s=r(26997);function l(t,e,r,a){function l(r,i){return n.coerce(t,e,s,r,i)}function u(t){var n=t+\"axis\",a={_fullLayout:{}};return a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l(\"visible\")&&(o(t,e,a.fullLayout,l),u(\"x\"),u(\"y\"),u(\"z\"),n.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),n.noneOrAll(t,e,[\"ax\",\"ay\"])))}t.exports=function(t,e,r){a(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},82188:function(t,e,r){\"use strict\";var n=r(92605).drawRaw,i=r(63538),a=[\"x\",\"y\",\"z\"];t.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],u=!1,c=0;c<3;c++){var f=a[c],h=l[f],p=e[f+\"axis\"].r2fraction(h);if(p<0||p>1){u=!0;break}}u?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+s+'\"]').remove():(l._pdata=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},2468:function(t,e,r){\"use strict\";var n=r(73972),i=r(71828);t.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:r(26997)}}},layoutAttributes:r(26997),handleDefaults:r(20226),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(r)for(var a=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var l=o[s];a.test(l)&&(t[l].annotations||[]).length&&(i.pushUnique(e._basePlotModules,r),i.pushUnique(e._subplots.gl3d,l))}},convert:r(5485),draw:r(82188)}},7561:function(t,e,r){\"use strict\";t.exports=r(63489),r(94338),r(3961),r(38751),r(86825),r(37715),r(99384),r(43805),r(88874),r(83290),r(29108),r(55422),r(94320),r(31320),r(51367),r(21457)},72201:function(t,e,r){\"use strict\";var n=r(7561),i=r(71828),a=r(50606),o=a.EPOCHJD,s=a.ONEDAY,l={valType:\"enumerated\",values:i.sortObjectKeys(n.calendars),editType:\"calc\",dflt:\"gregorian\"},u=function(t,e,r,n){var a={};return a[r]=l,i.coerce(t,e,a,r,n)},c=\"##\",f={d:{0:\"dd\",\"-\":\"d\"},e:{0:\"d\",\"-\":\"d\"},a:{0:\"D\",\"-\":\"D\"},A:{0:\"DD\",\"-\":\"DD\"},j:{0:\"oo\",\"-\":\"o\"},W:{0:\"ww\",\"-\":\"w\"},m:{0:\"mm\",\"-\":\"m\"},b:{0:\"M\",\"-\":\"M\"},B:{0:\"MM\",\"-\":\"MM\"},y:{0:\"yy\",\"-\":\"yy\"},Y:{0:\"yyyy\",\"-\":\"yyyy\"},U:c,w:c,c:{0:\"D M d %X yyyy\",\"-\":\"D M d %X yyyy\"},x:{0:\"mm/dd/yyyy\",\"-\":\"mm/dd/yyyy\"}},h={};function p(t){var e=h[t];return e||(h[t]=n.instance(t))}function d(t){return i.extendFlat({},l,{description:t})}function v(t){return\"Sets the calendar system to use with `\"+t+\"` date data.\"}var g={xcalendar:d(v(\"x\"))},y=i.extendFlat({},g,{ycalendar:d(v(\"y\"))}),m=i.extendFlat({},y,{zcalendar:d(v(\"z\"))}),x=d([\"Sets the calendar system to use for `range` and `tick0`\",\"if this is a date axis. This does not set the calendar for\",\"interpreting data on this axis, that's specified in the trace\",\"or via the global `layout.calendar`\"].join(\" \"));t.exports={moduleType:\"component\",name:\"calendars\",schema:{traces:{scatter:y,bar:y,box:y,heatmap:y,contour:y,histogram:y,histogram2d:y,histogram2dcontour:y,scatter3d:m,surface:m,mesh3d:m,scattergl:y,ohlc:g,candlestick:g},layout:{calendar:d([\"Sets the default calendar system to use for interpreting and\",\"displaying dates throughout the plot.\"].join(\" \"))},subplots:{xaxis:{calendar:x},yaxis:{calendar:x},scene:{xaxis:{calendar:x},yaxis:{calendar:x},zaxis:{calendar:x}},polar:{radialaxis:{calendar:x}}},transforms:{filter:{valuecalendar:d([\"WARNING: All transforms are deprecated and may be removed from the API in next major version.\",\"Sets the calendar system to use for `value`, if it is a date.\"].join(\" \")),targetcalendar:d([\"WARNING: All transforms are deprecated and may be removed from the API in next major version.\",\"Sets the calendar system to use for `target`, if it is an\",\"array of dates. 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lt=o.apply3DTransform(c._invTransform)(at,ot);if(at=lt[0],ot=lt[1],at<0||at>_[0]._length||ot<0||ot>w[0]._length)return d.unhoverRaw(t,e)}else at=\"xpx\"in e?e.xpx:_[0]._length/2,ot=\"ypx\"in e?e.ypx:w[0]._length/2;if(e.pointerX=at+_[0]._offset,e.pointerY=ot+w[0]._offset,V=\"xval\"in e?y.flat(l,e.xval):y.p2c(_,at),H=\"yval\"in e?y.flat(l,e.yval):y.p2c(w,ot),!i(V[0])||!i(H[0]))return o.warn(\"Fx.hover failed\",e,t),d.unhoverRaw(t,e)}var ut=1/0;function ct(t,r){for(G=0;G<rt.length;G++)if((Z=rt[G])&&Z[0]&&Z[0].trace&&!0===(Y=Z[0].trace).visible&&0!==Y._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(Y._module.name)){if(\"splom\"===Y.type?W=l[X=0]:(W=y.getSubplot(Y),X=l.indexOf(W)),J=P,y.isUnifiedHover(J)&&(J=J.charAt(0)),Q={cd:Z,trace:Y,xa:_[X],ya:w[X],maxHoverDistance:I,maxSpikeDistance:B,index:!1,distance:Math.min(ut,I),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:p.defaultLine,name:Y.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},c[W]&&(Q.subplot=c[W]._subplot),c._splomScenes&&c._splomScenes[Y.uid]&&(Q.scene=c._splomScenes[Y.uid]),tt=et.length,\"array\"===J){var n=e[G];\"pointNumber\"in n?(Q.index=n.pointNumber,J=\"closest\"):(J=\"\",\"xval\"in n&&(K=n.xval,J=\"x\"),\"yval\"in n&&($=n.yval,J=J?\"closest\":\"y\"))}else void 0!==t&&void 0!==r?(K=t,$=r):(K=V[X],$=H[X]);if(0!==I)if(Y._module&&Y._module.hoverPoints){var a=Y._module.hoverPoints(Q,K,$,J,{finiteRange:!0,hoverLayer:c._hoverlayer});if(a)for(var s,u=0;u<a.length;u++)s=a[u],i(s.x0)&&i(s.y0)&&et.push(z(s,P))}else o.log(\"Unrecognized trace type in hover:\",Y);if(\"closest\"===P&&et.length>tt&&(et.splice(0,tt),ut=et[0].distance),m&&0!==B&&0===et.length){Q.distance=B,Q.index=!1;var f=Y._module.hoverPoints(Q,K,$,\"closest\",{hoverLayer:c._hoverlayer});if(f&&(f=f.filter((function(t){return t.spikeDistance<=B}))),f&&f.length){var h,d=f.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(d.length){var v=d[0];i(v.x0)&&i(v.y0)&&(h=ht(v),(!nt.vLinePoint||nt.vLinePoint.spikeDistance>h.spikeDistance)&&(nt.vLinePoint=h))}var g=f.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(g.length){var x=g[0];i(x.x0)&&i(x.y0)&&(h=ht(x),(!nt.hLinePoint||nt.hLinePoint.spikeDistance>h.spikeDistance)&&(nt.hLinePoint=h))}}}}}function ft(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n);return i}function ht(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}ct();var pt={fullLayout:c,container:c._hoverlayer,event:e},dt=t._spikepoints,vt={vLinePoint:nt.vLinePoint,hLinePoint:nt.hLinePoint};t._spikepoints=vt;var gt=function(){et.sort((function(t,e){return t.distance-e.distance})),et=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];g.traceIs(s.trace,\"bar-like\")||g.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(et,P)};gt();var yt=P.charAt(0),mt=(\"x\"===yt||\"y\"===yt)&&et[0]&&L[et[0].trace.type];if(m&&0!==B&&0!==et.length){var xt=ft(et.filter((function(t){return t.ya.showspikes})),B,mt);nt.hLinePoint=ht(xt);var bt=ft(et.filter((function(t){return t.xa.showspikes})),B,mt);nt.vLinePoint=ht(bt)}if(0===et.length){var _t=d.unhoverRaw(t,e);return!m||null===nt.hLinePoint&&null===nt.vLinePoint||F(dt)&&R(t,nt,pt),_t}if(m&&F(dt)&&R(t,nt,pt),y.isXYhover(J)&&0!==et[0].length&&\"splom\"!==et[0].trace.type){var wt=et[0],Tt=(et=E[wt.trace.type]?et.filter((function(t){return t.trace.index===wt.trace.index})):[wt]).length;ct(N(\"x\",wt,c),N(\"y\",wt,c));var kt,At=[],Mt={},St=0,Et=function(t){var e=E[t.trace.type]?C(t):t.trace.index;if(Mt[e]){var r=Mt[e]-1,n=At[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(At[r]=t)}else St++,Mt[e]=St,At.push(t)};for(kt=0;kt<Tt;kt++)Et(et[kt]);for(kt=et.length-1;kt>Tt-1;kt--)Et(et[kt]);et=At,gt()}var Lt=t._hoverdata,Ct=[],Pt=j(t),Ot=U(t);for(q=0;q<et.length;q++){var It=et[q],Dt=y.makeEventData(It,It.trace,It.cd);if(!1!==It.hovertemplate){var zt=!1;It.cd[It.index]&&It.cd[It.index].ht&&(zt=It.cd[It.index].ht),It.hovertemplate=zt||It.trace.hovertemplate||!1}if(It.xa&&It.ya){var Rt=It.x0+It.xa._offset,Ft=It.x1+It.xa._offset,Bt=It.y0+It.ya._offset,Nt=It.y1+It.ya._offset,jt=Math.min(Rt,Ft),Ut=Math.max(Rt,Ft),Vt=Math.min(Bt,Nt),Ht=Math.max(Bt,Nt);Dt.bbox={x0:jt+Ot,x1:Ut+Ot,y0:Vt+Pt,y1:Ht+Pt}}It.eventData=[Dt],Ct.push(Dt)}t._hoverdata=Ct;var qt=\"y\"===P&&(rt.length>1||et.length>1)||\"closest\"===P&&it&&et.length>1,Gt=p.combine(c.plot_bgcolor||p.background,c.paper_bgcolor),Zt=O(et,{gd:t,hovermode:P,rotateLabels:qt,bgColor:Gt,container:c._hoverlayer,outerContainer:c._paper.node(),commonLabelOpts:c.hoverlabel,hoverdistance:c.hoverdistance});if(y.isUnifiedHover(P)||(function(t,e,r){var n,i,a,o,s,l,u,c=0,f=1,h=t.size(),p=new Array(h),d=0;function v(t){var e=t[0],r=t[t.length-1];if(i=e.pmin-e.pos-e.dp+e.size,a=r.pos+r.dp+r.size-e.pmax,i>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=i;n=!1}if(!(a<.01)){if(i<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=a;n=!1}if(n){var u=0;for(o=0;o<t.length;o++)(l=t[o]).pos+l.dp+l.size>e.pmax&&u++;for(o=t.length-1;o>=0&&!(u<=0);o--)(l=t[o]).pos>e.pmax-1&&(l.del=!0,u--);for(o=0;o<t.length&&!(u<=0);o++)if((l=t[o]).pos<e.pmin+1)for(l.del=!0,u--,a=2*l.size,s=t.length-1;s>=0;s--)t[s].dp-=a;for(o=t.length-1;o>=0&&!(u<=0);o--)(l=t[o]).pos+l.dp+l.size>e.pmax&&(l.del=!0,u--)}}}for(t.each((function(t){var n=t[e],i=\"x\"===n._id.charAt(0),a=n.range;0===d&&a&&a[0]>a[1]!==i&&(f=-1),p[d++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(i?T:1)/2,pmin:0,pmax:i?r.width:r.height}]})),p.sort((function(t,e){return t[0].posref-e[0].posref||f*(e[0].traceIndex-t[0].traceIndex)}));!n&&c<=h;){for(c++,n=!0,o=0;o<p.length-1;){var g=p[o],y=p[o+1],m=g[g.length-1],x=y[0];if((i=m.pos+m.dp+m.size-x.pos-x.dp+x.size)>.01&&m.pmin===x.pmin&&m.pmax===x.pmax){for(s=y.length-1;s>=0;s--)y[s].dp+=i;for(g.push.apply(g,y),p.splice(o+1,1),u=0,s=g.length-1;s>=0;s--)u+=g[s].dp;for(a=u/g.length,s=g.length-1;s>=0;s--)g[s].dp-=a;n=!1}else o++}p.forEach(v)}for(o=p.length-1;o>=0;o--){var b=p[o];for(s=b.length-1;s>=0;s--){var _=b[s],w=_.datum;w.offset=_.dp,w.del=_.del}}}(Zt,qt?\"xa\":\"ya\",c),D(Zt,qt,c._invScaleX,c._invScaleY)),s&&s.tagName){var Yt=g.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,Ct);f(n.select(s),Yt?\"pointer\":\"\")}s&&!a&&function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Lt)&&(Lt&&t.emit(\"plotly_unhover\",{event:e,points:Lt}),t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:V,yvals:H}))}(t,e,r,a,s)}))},e.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=j(i),o=U(i),s=O(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,u=t.eventData;if(u){var c=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),v=t.trace;if(g.traceIs(v,\"gl3d\")){var y=i._fullLayout[v.scene]._scene.container,m=y.offsetLeft,x=y.offsetTop;c+=m,f+=m,h+=x,d+=x}u.bbox={x0:c+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(u.bbox)}else u=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:u}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}),l=0,u=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<l?l-n+5:0,l=n+t.by+t.offset,r===e.anchorIndex&&(u=t.offset)})).each((function(t){t.offset-=u})),D(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var P=/<extra>([\\s\\S]*)<\\/extra>/;function O(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,u=e.rotateLabels,f=e.bgColor,d=e.container,v=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||m.HOVERFONT,k=e.fontSize||m.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),O=P+\"Label\",D=A[O];if(void 0===D&&\"multicategory\"===E.type)for(var z=0;z<t.length&&void 0===(D=t[z][O]);z++);var R=V(r,v),F=R.top,B=R.width,N=R.height,j=void 0!==D&&A.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(j){var U,H,q=!0;for(U=0;U<t.length;U++)if(q&&void 0===t[U].zLabel&&(q=!1),H=t[U].hoverinfo||t[U].trace.hoverinfo){var G=Array.isArray(H)?H:H.split(\"+\");if(-1===G.indexOf(\"all\")&&-1===G.indexOf(a)){j=!1;break}}q&&(j=!1)}var Z=d.selectAll(\"g.axistext\").data(j?[0]:[]);if(Z.enter().append(\"g\").classed(\"axistext\",!0),Z.exit().remove(),Z.each((function(){var t=n.select(this),e=o.ensureSingle(t,\"path\",\"\",(function(t){t.style({\"stroke-width\":\"1px\"})})),l=o.ensureSingle(t,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),u=w.bgcolor||p.defaultLine,f=w.bordercolor||p.contrast(u),d=p.contrast(u),v={family:w.font.family||T,size:w.font.size||k,color:w.font.color||d};e.style({fill:u,stroke:f}),l.text(D).call(h.font,v).call(c.positionText,0,0).call(c.convertToTspans,r),t.attr(\"transform\",\"\");var g,y,m=V(r,l.node());if(\"x\"===a){var x=\"top\"===E.side?\"-\":\"\";l.attr(\"text-anchor\",\"middle\").call(c.positionText,0,\"top\"===E.side?F-m.bottom-M-S:F-m.top+M+S),g=E._offset+(A.x0+A.x1)/2,y=L._offset+(\"top\"===E.side?0:L._length);var b=m.width/2+S;g<b?(g=b,e.attr(\"d\",\"M-\"+(b-M)+\",0L-\"+(b-2*M)+\",\"+x+M+\"H\"+(S+m.width/2)+\"v\"+x+(2*S+m.height)+\"H-\"+b+\"V\"+x+M+\"Z\")):g>i.width-b?(g=i.width-b,e.attr(\"d\",\"M\"+(b-M)+\",0L\"+b+\",\"+x+M+\"v\"+x+(2*S+m.height)+\"H-\"+b+\"V\"+x+M+\"H\"+(b-2*M)+\"Z\")):e.attr(\"d\",\"M0,0L\"+M+\",\"+x+M+\"H\"+(S+m.width/2)+\"v\"+x+(2*S+m.height)+\"H-\"+(S+m.width/2)+\"V\"+x+M+\"H-\"+M+\"Z\")}else{var _,C,P;\"right\"===L.side?(_=\"start\",C=1,P=\"\",g=E._offset+E._length):(_=\"end\",C=-1,P=\"-\",g=E._offset),y=L._offset+(A.y0+A.y1)/2,l.attr(\"text-anchor\",_),e.attr(\"d\",\"M0,0L\"+P+M+\",\"+M+\"V\"+(S+m.height/2)+\"h\"+P+(2*S+m.width)+\"V-\"+(S+m.height/2)+\"H\"+P+M+\"V-\"+M+\"Z\");var O,I=m.height/2,z=F-m.top-I,R=\"clip\"+i._uid+\"commonlabel\"+L._id;if(g<m.width+2*S+M){O=\"M-\"+(M+S)+\"-\"+I+\"h-\"+(m.width-S)+\"V\"+I+\"h\"+(m.width-S)+\"Z\";var B=m.width-g+S;c.positionText(l,B,z),\"end\"===_&&l.selectAll(\"tspan\").each((function(){var t=n.select(this),e=h.tester.append(\"text\").text(t.text()).call(h.font,v),i=V(r,e.node());Math.round(i.width)<Math.round(m.width)&&t.attr(\"x\",B-i.width),e.remove()}))}else c.positionText(l,C*(S+M),z),O=null;var N=i._topclips.selectAll(\"#\"+R).data(O?[0]:[]);N.enter().append(\"clipPath\").attr(\"id\",R).append(\"path\"),N.exit().remove(),N.select(\"path\").attr(\"d\",O),h.setClipUrl(l,O?R:null,r)}t.attr(\"transform\",s(g,y))})),y.isUnifiedHover(a)){d.selectAll(\"g.hovertext\").remove();var Y=t.filter((function(t){return\"none\"!==t.hoverinfo}));if(0===Y.length)return;var W=i.hoverlabel,X=W.font,J={showlegend:!0,legend:{title:{text:D,font:X},font:X,bgcolor:W.bgcolor,bordercolor:W.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},K={font:X};x(J,K,r._fullData);var $=K.legend;$.entries=[];for(var Q=0;Q<Y.length;Q++){var tt=Y[Q];if(\"none\"!==tt.hoverinfo){var et=I(tt,!0,a,i,D),rt=et[0],nt=et[1];tt.name=nt,tt.text=\"\"!==nt?nt+\" 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b=Object.keys(l._plots);for(r=0;r<b.length;r++){e=b[r];var _=l._plots[e];if(_.imagelayer){var w=_.imagelayer.selectAll(\"image\").data(c[e]||[]);w.enter().append(\"image\"),w.exit().remove(),w.each((function(t){g.bind(this)(t),y.bind(this)(t)}))}}}},68804:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"images\",layoutAttributes:r(69819),supplyLayoutDefaults:r(81603),includeBasePlot:r(76325)(\"images\"),draw:r(80750),convertCoords:r(75378)}},33030:function(t,e,r){\"use strict\";var n=r(41940),i=r(22399);t.exports={bgcolor:{valType:\"color\",editType:\"legend\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"legend\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"legend\"},font:n({editType:\"legend\"}),grouptitlefont:n({editType:\"legend\"}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"v\",editType:\"legend\"},traceorder:{valType:\"flaglist\",flags:[\"reversed\",\"grouped\"],extras:[\"normal\"],editType:\"legend\"},tracegroupgap:{valType:\"number\",min:0,dflt:10,editType:\"legend\"},entrywidth:{valType:\"number\",min:0,editType:\"legend\"},entrywidthmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"pixels\",editType:\"legend\"},itemsizing:{valType:\"enumerated\",values:[\"trace\",\"constant\"],dflt:\"trace\",editType:\"legend\"},itemwidth:{valType:\"number\",min:30,dflt:30,editType:\"legend\"},itemclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggle\",editType:\"legend\"},itemdoubleclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggleothers\",editType:\"legend\"},groupclick:{valType:\"enumerated\",values:[\"toggleitem\",\"togglegroup\"],dflt:\"togglegroup\",editType:\"legend\"},x:{valType:\"number\",min:-2,max:3,editType:\"legend\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"legend\"},y:{valType:\"number\",min:-2,max:3,editType:\"legend\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"legend\"},uirevision:{valType:\"any\",editType:\"none\"},valign:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"middle\",editType:\"legend\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"legend\"},font:n({editType:\"legend\"}),side:{valType:\"enumerated\",values:[\"top\",\"left\",\"top 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w,T,k,A=i.coerceFont(p,\"font\",e.font),M=\"h\"===p(\"orientation\");if(M?(w=0,n.getComponentMethod(\"rangeslider\",\"isVisible\")(t.xaxis)?(T=1.1,k=\"bottom\"):(T=-.1,k=\"top\")):(w=1.02,T=1,k=\"auto\"),p(\"traceorder\",x),u.isGrouped(e.legend)&&p(\"tracegroupgap\"),p(\"entrywidth\"),p(\"entrywidthmode\"),p(\"itemsizing\"),p(\"itemwidth\"),p(\"itemclick\"),p(\"itemdoubleclick\"),p(\"groupclick\"),p(\"x\",w),p(\"xanchor\"),p(\"y\",T),p(\"yanchor\",k),p(\"valign\"),i.noneOrAll(f,h,[\"x\",\"y\"]),p(\"title.text\")){p(\"title.side\",M?\"left\":\"top\");var S=i.extendFlat({},A,{size:i.bigFont(A.size)});i.coerceFont(p,\"title.font\",S)}}}},43969:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828),a=r(74875),o=r(73972),s=r(11086),l=r(28569),u=r(91424),c=r(7901),f=r(63893),h=r(85167),p=r(14928),d=r(18783),v=d.LINE_SPACING,g=d.FROM_TL,y=d.FROM_BR,m=r(82424),x=r(53630),b=r(10130);function _(t,e,r){var n=t[0],i=n.width,a=e.entrywidthmode,o=n.trace.legendwidth||e.entrywidth;return\"fraction\"===a?e._maxWidth*o:r+(o||i)}function w(t,e,r,n,i){var a=r.data()[0][0].trace,l={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};a._group&&(l.group=a._group),o.traceIs(a,\"pie-like\")&&(l.label=r.datum()[0].label),!1!==s.triggerHandler(t,\"plotly_legendclick\",l)&&(1===n?e._clickTimeout=setTimeout((function(){t._fullLayout&&h(r,t,n)}),t._context.doubleClickDelay):2===n&&(e._clickTimeout&&clearTimeout(e._clickTimeout),t._legendMouseDownTime=0,!1!==s.triggerHandler(t,\"plotly_legenddoubleclick\",l)&&h(r,t,n)))}function T(t,e,r){var n,a,s=t.data()[0][0],l=s.trace,c=o.traceIs(l,\"pie-like\"),h=!r._inHover&&e._context.edits.legendText&&!c,d=r._maxNameLength;s.groupTitle?(n=s.groupTitle.text,a=s.groupTitle.font):(a=r.font,r.entries?n=s.text:(n=c?s.label:l.name,l._meta&&(n=i.templateString(n,l._meta))));var v=i.ensureSingle(t,\"text\",\"legendtext\");v.attr(\"text-anchor\",\"start\").call(u.font,a).text(h?k(n,d):n);var g=r.itemwidth+2*p.itemGap;f.positionText(v,g,0),h?v.call(f.makeEditable,{gd:e,text:n}).call(M,t,e,r).on(\"edit\",(function(n){this.text(k(n,d)).call(M,t,e,r);var a=s.trace._fullInput||{},u={};if(o.hasTransform(a,\"groupby\")){var c=o.getTransformIndices(a,\"groupby\"),f=c[c.length-1],h=i.keyedContainer(a,\"transforms[\"+f+\"].styles\",\"target\",\"value.name\");h.set(s.trace._group,n),u=h.constructUpdate()}else u.name=n;return o.call(\"_guiRestyle\",e,u,l.index)})):M(v,t,e,r)}function k(t,e){var r=Math.max(4,e);if(t&&t.trim().length>=r/2)return t;for(var n=r-(t=t||\"\").length;n>0;n--)t+=\" \";return 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o=a._size,s=b.isVertical(i),l=b.isGrouped(i),c=\"fraction\"===i.entrywidthmode,f=i.borderwidth,h=2*f,d=p.itemGap,v=i.itemwidth+2*d,g=2*(f+d),y=E(i),m=i.y<0||0===i.y&&\"top\"===y,x=i.y>1||1===i.y&&\"bottom\"===y,w=i.tracegroupgap,T={};i._maxHeight=Math.max(m||x?a.height/2:o.h,30);var k=0;i._width=0,i._height=0;var A=function(t){var e=0,r=0,n=t.title.side;return n&&(-1!==n.indexOf(\"left\")&&(e=t._titleWidth),-1!==n.indexOf(\"top\")&&(r=t._titleHeight)),[e,r]}(i);if(s)r.each((function(t){var e=t[0].height;u.setTranslate(this,f+A[0],f+A[1]+i._height+e/2+d),i._height+=e,i._width=Math.max(i._width,t[0].width)})),k=v+i._width,i._width+=d+v+h,i._height+=g,l&&(e.each((function(t,e){u.setTranslate(this,0,e*i.tracegroupgap)})),i._height+=(i._lgroupsLength-1)*i.tracegroupgap);else{var M=S(i),L=i.x<0||0===i.x&&\"right\"===M,C=i.x>1||1===i.x&&\"left\"===M,P=x||m,O=a.width/2;i._maxWidth=Math.max(L?P&&\"left\"===M?o.l+o.w:O:C?P&&\"right\"===M?o.r+o.w:O:o.w,2*v);var I=0,D=0;r.each((function(t){var 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G=t._context.edits,Z=G.legendText||G.legendPosition;r.each((function(t){var e=n.select(this).select(\".legendtoggle\"),r=t[0].height,a=t[0].trace.legendgroup,o=_(t,i,v);l&&\"\"!==a&&(o=T[a]);var f=Z?v:k||o;s||c||(f+=d/2),u.setRect(e,0,-r/2,f,r)}))}(t,z,R,e)},function(){var s,c,v,m,x=f._size,b=e.borderwidth;if(!d){var _=function(t){var e=t._fullLayout.legend,r=S(e),n=E(e);return a.autoMargin(t,\"legend\",{x:e.x,y:e.y,l:e._width*g[r],r:e._width*y[r],b:e._effHeight*y[n],t:e._effHeight*g[n]})}(t);if(_)return;var T=x.l+x.w*e.x-g[S(e)]*e._width,A=x.t+x.h*(1-e.y)-g[E(e)]*e._effHeight;if(f.margin.autoexpand){var M=T,O=A;T=i.constrain(T,0,f.width-e._width),A=i.constrain(A,0,f.height-e._effHeight),T!==M&&i.log(\"Constrain legend.x to make legend fit inside graph\"),A!==O&&i.log(\"Constrain legend.y to make legend fit inside graph\")}u.setTranslate(k,T,A)}if(D.on(\".drag\",null),k.on(\"wheel\",null),d||e._height<=e._maxHeight||t._context.staticPlot){var 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n=v+t,i=m+r;u.setTranslate(k,n,i),s=l.align(n,0,x.l,x.l+x.w,e.xanchor),c=l.align(i,0,x.t+x.h,x.t,e.yanchor)},doneFn:function(){void 0!==s&&void 0!==c&&o.call(\"_guiRelayout\",t,{\"legend.x\":s,\"legend.y\":c})},clickFn:function(e,n){var i=r.selectAll(\"g.traces\").filter((function(){var t=this.getBoundingClientRect();return n.clientX>=t.left&&n.clientX<=t.right&&n.clientY>=t.top&&n.clientY<=t.bottom}));i.size()>0&&w(t,k,i,e,n)}}))}],t)}}(t,e)}},82424:function(t,e,r){\"use strict\";var n=r(73972),i=r(10130);t.exports=function(t,e){var r,a,o=e._inHover,s=i.isGrouped(e),l=i.isReversed(e),u={},c=[],f=!1,h={},p=0,d=0;function v(t,r){if(\"\"!==t&&i.isGrouped(e))-1===c.indexOf(t)?(c.push(t),f=!0,u[t]=[r]):u[t].push(r);else{var n=\"~~i\"+p;c.push(n),u[n]=[r],p++}}for(r=0;r<t.length;r++){var g=t[r],y=g[0],m=y.trace,x=m.legendgroup;if(o||m.visible&&m.showlegend)if(n.traceIs(m,\"pie-like\"))for(h[x]||(h[x]={}),a=0;a<g.length;a++){var b=g[a].label;h[x][b]||(v(x,{label:b,color:g[a].color,i:g[a].i,trace:m,pts:g[a].pts}),h[x][b]=!0,d=Math.max(d,(b||\"\").length))}else v(x,y),d=Math.max(d,(m.name||\"\").length)}if(!c.length)return[];var _=!f||!s,w=[];for(r=0;r<c.length;r++){var T=u[c[r]];_?w.push(T[0]):w.push(T)}for(_&&(w=[w]),r=0;r<w.length;r++){var k=1/0;for(a=0;a<w[r].length;a++){var A=w[r][a].trace.legendrank;k>A&&(k=A)}w[r][0]._groupMinRank=k,w[r][0]._preGroupSort=r}var M=function(t,e){return t.trace.legendrank-e.trace.legendrank||t._preSort-e._preSort};for(w.forEach((function(t,e){t[0]._preGroupSort=e})),w.sort((function(t,e){return t[0]._groupMinRank-e[0]._groupMinRank||t[0]._preGroupSort-e[0]._preGroupSort})),r=0;r<w.length;r++){w[r].forEach((function(t,e){t._preSort=e})),w[r].sort(M);var S=w[r][0].trace,E=null;for(a=0;a<w[r].length;a++){var L=w[r][a].trace.legendgrouptitle;if(L&&L.text){E=L,o&&(L.font=e._groupTitleFont);break}}if(l&&w[r].reverse(),E){var C=!1;for(a=0;a<w[r].length;a++)if(n.traceIs(w[r][a].trace,\"pie-like\")){C=!0;break}w[r].unshift({i:-1,groupTitle:E,noClick:C,trace:{showlegend:S.showlegend,legendgroup:S.legendgroup,visible:\"toggleitem\"===e.groupclick||S.visible}})}for(a=0;a<w[r].length;a++)w[r][a]=[w[r][a]]}return e._lgroupsLength=w.length,e._maxNameLength=d,w}},85167:function(t,e,r){\"use strict\";var n=r(71828),i=r(73972),a=!0;t.exports=function(t,e,r){var o=e._fullLayout;if(!e._dragged&&!e._editing){var s,l=o.legend.itemclick,u=o.legend.itemdoubleclick,c=o.legend.groupclick;if(1===r&&\"toggle\"===l&&\"toggleothers\"===u&&a&&e.data&&e._context.showTips?(n.notifier(n._(e,\"Double-click on legend to isolate one trace\"),\"long\"),a=!1):a=!1,1===r?s=l:2===r&&(s=u),s){var f=\"togglegroup\"===c,h=o.hiddenlabels?o.hiddenlabels.slice():[],p=t.data()[0][0];if(!p.groupTitle||!p.noClick){var d,v,g,y,m,x=e._fullData,b=p.trace,_=b.legendgroup,w={},T=[],k=[],A=[];if(i.traceIs(b,\"pie-like\")){var M=p.label,S=h.indexOf(M);\"toggle\"===s?-1===S?h.push(M):h.splice(S,1):\"toggleothers\"===s&&(h=[],e.calcdata[0].forEach((function(t){M!==t.label&&h.push(t.label)})),e._fullLayout.hiddenlabels&&e._fullLayout.hiddenlabels.length===h.length&&-1===S&&(h=[])),i.call(\"_guiRelayout\",e,\"hiddenlabels\",h)}else{var E,L=_&&_.length,C=[];if(L)for(d=0;d<x.length;d++)(E=x[d]).visible&&E.legendgroup===_&&C.push(d);if(\"toggle\"===s){var P;switch(b.visible){case!0:P=\"legendonly\";break;case!1:P=!1;break;case\"legendonly\":P=!0}if(L)if(f)for(d=0;d<x.length;d++)!1!==x[d].visible&&x[d].legendgroup===_&&j(x[d],P);else j(b,P);else j(b,P)}else if(\"toggleothers\"===s){var O,I,D,z,R=!0;for(d=0;d<x.length;d++)if(O=x[d]===b,D=!0!==x[d].showlegend,!(O||D||(I=L&&x[d].legendgroup===_)||!0!==x[d].visible||i.traceIs(x[d],\"notLegendIsolatable\"))){R=!1;break}for(d=0;d<x.length;d++)if(!1!==x[d].visible&&!i.traceIs(x[d],\"notLegendIsolatable\"))switch(b.visible){case\"legendonly\":j(x[d],!0);break;case!0:z=!!R||\"legendonly\",O=x[d]===b,D=!0!==x[d].showlegend&&!x[d].legendgroup,I=O||L&&x[d].legendgroup===_,j(x[d],!(!I&&!D)||z)}}for(d=0;d<k.length;d++)if(g=k[d]){var F=g.constructUpdate(),B=Object.keys(F);for(v=0;v<B.length;v++)y=B[v],(w[y]=w[y]||[])[A[d]]=F[y]}for(m=Object.keys(w),d=0;d<m.length;d++)for(y=m[d],v=0;v<T.length;v++)w[y].hasOwnProperty(v)||(w[y][v]=void 0);i.call(\"_guiRestyle\",e,w,T)}}}}function N(t,e,r){var n=T.indexOf(t),i=w[e];return i||(i=w[e]=[]),-1===T.indexOf(t)&&(T.push(t),n=T.length-1),i[n]=r,n}function j(t,e){if(!p.groupTitle||f){var r=t._fullInput;if(i.hasTransform(r,\"groupby\")){var a=k[r.index];if(!a){var 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d(t,e){return(e?\"radial\":\"horizontal\")+(t?\"\":\"reversed\")}function v(t){var e=t[0].trace,r=e.contours,n=c.hasLines(e),i=c.hasMarkers(e),a=e.visible&&e.fill&&\"none\"!==e.fill,o=!1,s=!1;if(r){var l=r.coloring;\"lines\"===l?o=!0:n=\"none\"===l||\"heatmap\"===l||r.showlines,\"constraint\"===r.type?a=\"=\"!==r._operation:\"fill\"!==l&&\"heatmap\"!==l||(s=!0)}return{showMarker:i,showLine:n,showFill:a,showGradientLine:o,showGradientFill:s,anyLine:n||o,anyFill:a||s}}function g(t,e,r){return t&&a.isArrayOrTypedArray(t)?e:t>r?r:t}t.exports=function(t,e,r){var y=e._fullLayout;r||(r=y.legend);var m=\"constant\"===r.itemsizing,x=r.itemwidth,b=(x+2*p.itemGap)/2,_=o(b,0),w=function(t,e,r,n){var i;if(t+1)i=t;else{if(!(e&&e.width>0))return 0;i=e.width}return m?n:Math.min(i,r)};function T(t,a,o){var 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in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:v},c.zoomOutGeo={name:\"zoomOutGeo\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:v},c.resetGeo={name:\"resetGeo\",_cat:\"reset\",title:function(t){return u(t,\"Reset\")},attr:\"reset\",val:null,icon:o.autoscale,click:v},c.hoverClosestGeo={name:\"hoverClosestGeo\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:y},c.hoverClosestGl2d={name:\"hoverClosestGl2d\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:y},c.hoverClosestPie={name:\"hoverClosestPie\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:y},c.resetViewSankey={name:\"resetSankeyGroup\",title:function(t){return u(t,\"Reset view\")},icon:o.home,click:function(t){for(var e={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e[\"node.groups\"].push(i.node.groups.slice()),e[\"node.x\"].push(i.node.x.slice()),e[\"node.y\"].push(i.node.y.slice())}n.call(\"restyle\",t,e)}},c.toggleHover={name:\"toggleHover\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call(\"_guiRelayout\",t,r)}},c.resetViews={name:\"resetViews\",title:function(t){return u(t,\"Reset views\")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},c.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return u(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},c.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return u(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},c.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:m},c.zoomOutMapbox={name:\"zoomOutMapbox\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:m}},93348:function(t,e,r){\"use strict\";var n=r(26023),i=Object.keys(n),a=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],o=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),t.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},35750:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(44467),o=r(42068);t.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var u=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(u,.3)),l(\"activecolor\",i.addOpacity(u,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},64168:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:r(42068),supplyLayoutDefaults:r(35750),manage:r(14192)}},14192:function(t,e,r){\"use strict\";var n=r(41675),i=r(34098),a=r(73972),o=r(23469).isUnifiedHover,s=r(37676),l=r(26023),u=r(93348).DRAW_MODES,c=r(71828).extendDeep;t.exports=function(t){var e=t._fullLayout,r=t._context,f=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var h,p=r.modeBarButtons;h=Array.isArray(p)&&p.length?function(t){for(var e=c([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if(\"string\"==typeof a){if(void 0===l[a])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));e[r][i]=l[a]}}return e}(p):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function c(t,e){if(\"string\"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;\"string\"==typeof f&&(f=[f]);var h=e.modebar.remove;\"string\"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(c(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(c(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),v=e._has(\"cartesian\"),g=e._has(\"gl3d\"),y=e._has(\"geo\"),m=e._has(\"pie\"),x=e._has(\"funnelarea\"),b=e._has(\"gl2d\"),_=e._has(\"ternary\"),w=e._has(\"mapbox\"),T=e._has(\"polar\"),k=e._has(\"smith\"),A=e._has(\"sankey\"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,u=0;u<d.length;u++){var c=d[u].toLowerCase();if(c===a||c===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=[\"toImage\"];s.showEditInChartStudio?C.push(\"editInChartStudio\"):s.showSendToCloud&&C.push(\"sendDataToCloud\"),L(C);var P=[],O=[],I=[],D=[];(v||b||m||x||_)+y+g+w+T+k>1?(O=[\"toggleHover\"],I=[\"resetViews\"]):y?(P=[\"zoomInGeo\",\"zoomOutGeo\"],O=[\"hoverClosestGeo\"],I=[\"resetGeo\"]):g?(O=[\"hoverClosest3d\"],I=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],O=[\"toggleHover\"],I=[\"resetViewMapbox\"]):b?O=[\"hoverClosestGl2d\"]:m?O=[\"hoverClosestPie\"]:A?(O=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],I=[\"resetViewSankey\"]):O=[\"toggleHover\"],v&&(O=[\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"]),(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\"noHover\"))return!1;return!0}(r)||S)&&(O=[]),!v&&!b||M||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==I[0]&&(I=[\"resetScale2d\"])),g?D=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(v||b)&&!M||_?D=[\"zoom2d\",\"pan2d\"]:w||y?D=[\"pan2d\"]:T&&(D=[\"zoom2d\"]),function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,\"scatter-like\")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,\"box-violin\")&&\"all\"!==n.boxpoints&&\"all\"!==n.points||(e=!0))}return e}(r)&&D.push(\"select2d\",\"lasso2d\");var z=[],R=function(t){-1===z.indexOf(t)&&-1!==O.indexOf(t)&&z.push(t)};if(Array.isArray(p)){for(var F=[],B=0;B<p.length;B++){var N=p[B];\"string\"==typeof N?(N=N.toLowerCase(),-1!==u.indexOf(N)?(e._has(\"mapbox\")||e._has(\"cartesian\"))&&D.push(N):\"togglespikelines\"===N?R(\"toggleSpikelines\"):\"togglehover\"===N?R(\"toggleHover\"):\"hovercompare\"===N?R(\"hoverCompareCartesian\"):\"hoverclosest\"===N?(R(\"hoverClosestCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\")):\"v1hovermode\"===N&&(R(\"toggleHover\"),R(\"hoverClosestCartesian\"),R(\"hoverCompareCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\"))):F.push(N)}p=F}return L(D),L(P.concat(I)),L(z),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(E,p)}(t),f?f.update(t,h):e._modeBar=s(t,h)}else f&&(f.destroy(),delete e._modeBar)}},37676:function(t,e,r){\"use strict\";var n=r(39898),i=r(92770),a=r(71828),o=r(24255),s=r(11506).version,l=new DOMParser;function u(t){this.container=t.container,this.element=document.createElement(\"div\"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var c=u.prototype;c.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",\"hover\"===r.displayModeBar&&(this.element.className+=\" modebar--hover ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover \":\"\";a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+\"#\"+i+\" .modebar-group\",\"background-color: \"+o.bgcolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn .icon path\",\"fill: \"+o.color),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn:hover .icon path\",\"fill: \"+o.activecolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn.active .icon path\",\"fill: \"+o.activecolor);var l=!this.hasButtons(e),u=this.hasLogo!==r.displaylogo,c=this.locale!==r.locale;if(this.locale=r.locale,(l||u||c)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var f=this.getLogo();r.watermark&&(f.className=f.className+\" watermark\"),\"v\"===n.modebar.orientation?this.element.insertBefore(f,this.element.childNodes[0]):this.element.appendChild(f),this.hasLogo=!0}this.updateActiveButton()},c.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach((function(t){var r=e.createGroup();t.forEach((function(t){var n=t.name;if(!n)throw new Error(\"must provide button 'name' in button config\");if(-1!==e.buttonsNames.indexOf(n))throw new Error(\"button name '\"+n+\"' is taken\");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},c.createGroup=function(){var t=document.createElement(\"div\");return t.className=\"modebar-group\",t},c.createButton=function(t){var e=this,r=document.createElement(\"a\");r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var i=t.title;void 0===i?i=t.name:\"function\"==typeof i&&(i=i(this.graphInfo)),(i||0===i)&&r.setAttribute(\"data-title\",i),void 0!==t.attr&&r.setAttribute(\"data-attr\",t.attr);var a=t.val;if(void 0!==a&&(\"function\"==typeof a&&(a=a(this.graphInfo)),r.setAttribute(\"data-val\",a)),\"function\"!=typeof t.click)throw new Error(\"must provide button 'click' function in button config\");r.addEventListener(\"click\",(function(r){t.click(e.graphInfo,r),e.updateActiveButton(r.currentTarget)})),r.setAttribute(\"data-toggle\",t.toggle||!1),t.toggle&&n.select(r).classed(\"active\",!0);var s=t.icon;return\"function\"==typeof s?r.appendChild(s()):r.appendChild(this.createIcon(s||o.question)),r.setAttribute(\"data-gravity\",t.gravity||\"n\"),r},c.createIcon=function(t){var e,r=i(t.height)?Number(t.height):t.ascent-t.descent,n=\"http://www.w3.org/2000/svg\";if(t.path){(e=document.createElementNS(n,\"svg\")).setAttribute(\"viewBox\",[0,0,t.width,r].join(\" \")),e.setAttribute(\"class\",\"icon\");var a=document.createElementNS(n,\"path\");a.setAttribute(\"d\",t.path),t.transform?a.setAttribute(\"transform\",t.transform):void 0!==t.ascent&&a.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+t.ascent+\")\"),e.appendChild(a)}return t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]),e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},c.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(\"data-attr\"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute(\"data-val\")||!0,o=t.getAttribute(\"data-attr\"),s=\"true\"===t.getAttribute(\"data-toggle\"),l=n.select(t);if(s)o===r&&l.classed(\"active\",!l.classed(\"active\"));else{var u=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",u===i)}}))},c.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},c.getLogo=function(){var t=this.createGroup(),e=document.createElement(\"a\");return e.href=\"https://plotly.com/\",e.target=\"_blank\",e.setAttribute(\"data-title\",a._(this.graphInfo,\"Produced with Plotly.js\")+\" (v\"+s+\")\"),e.className=\"modebar-btn plotlyjsicon modebar-btn--logo\",e.appendChild(this.createIcon(o.newplotlylogo)),t.appendChild(e),t},c.removeAllButtons=function(){for(;this.element.firstChild;)this.element.removeChild(this.element.firstChild);this.hasLogo=!1},c.destroy=function(){a.removeElement(this.container.querySelector(\".modebar\")),a.deleteRelatedStyleRule(this._uid)},t.exports=function(t,e){var r=t._fullLayout,i=new u({graphInfo:t,container:r._modebardiv.node(),buttons:e});return r._privateplot&&n.select(i.element).append(\"span\").classed(\"badge-private float--left\",!0).text(\"PRIVATE\"),i}},37113:function(t,e,r){\"use strict\";var n=r(41940),i=r(22399),a=(0,r(44467).templatedArray)(\"button\",{visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},step:{valType:\"enumerated\",values:[\"month\",\"year\",\"day\",\"hour\",\"minute\",\"second\",\"all\"],dflt:\"month\",editType:\"plot\"},stepmode:{valType:\"enumerated\",values:[\"backward\",\"todate\"],dflt:\"backward\",editType:\"plot\"},count:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},label:{valType:\"string\",editType:\"plot\"},editType:\"plot\"});t.exports={visible:{valType:\"boolean\",editType:\"plot\"},buttons:a,x:{valType:\"number\",min:-2,max:3,editType:\"plot\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"plot\"},y:{valType:\"number\",min:-2,max:3,editType:\"plot\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"bottom\",editType:\"plot\"},font:n({editType:\"plot\"}),bgcolor:{valType:\"color\",dflt:i.lightLine,editType:\"plot\"},activecolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"}},89573:function(t){\"use strict\";t.exports={yPad:.02,minButtonWidth:30,rx:3,ry:3,lightAmount:25,darkAmount:10}},28674:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(44467),o=r(85501),s=r(37113),l=r(89573);function u(t,e,r,i){var a=i.calendar;function o(r,i){return n.coerce(t,e,s.buttons,r,i)}if(o(\"visible\")){var l=o(\"step\");\"all\"!==l&&(!a||\"gregorian\"===a||\"month\"!==l&&\"year\"!==l?o(\"stepmode\"):e.stepmode=\"backward\",o(\"count\")),o(\"label\")}}t.exports=function(t,e,r,c,f){var h=t.rangeselector||{},p=a.newContainer(e,\"rangeselector\");function d(t,e){return n.coerce(h,p,s,t,e)}if(d(\"visible\",o(h,p,{name:\"buttons\",handleItemDefaults:u,calendar:f}).length>0)){var v=function(t,e,r){for(var n=r.filter((function(r){return e[r].anchor===t._id})),i=0,a=0;a<n.length;a++){var o=e[n[a]].domain;o&&(i=Math.max(o[1],i))}return[t.domain[0],i+l.yPad]}(e,r,c);d(\"x\",v[0]),d(\"y\",v[1]),n.noneOrAll(t,e,[\"x\",\"y\"]),d(\"xanchor\"),d(\"yanchor\"),n.coerceFont(d,\"font\",r.font);var g=d(\"bgcolor\");d(\"activecolor\",i.contrast(g,l.lightAmount,l.darkAmount)),d(\"bordercolor\"),d(\"borderwidth\")}}},21598:function(t,e,r){\"use strict\";var n=r(39898),i=r(73972),a=r(74875),o=r(7901),s=r(91424),l=r(71828),u=l.strTranslate,c=r(63893),f=r(41675),h=r(18783),p=h.LINE_SPACING,d=h.FROM_TL,v=h.FROM_BR,g=r(89573),y=r(70565);function m(t){return t._id}function x(t,e,r){var n=l.ensureSingle(t,\"rect\",\"selector-rect\",(function(t){t.attr(\"shape-rendering\",\"crispEdges\")}));n.attr({rx:g.rx,ry:g.ry}),n.call(o.stroke,e.bordercolor).call(o.fill,function(t,e){return e._isActive||e._isHovered?t.activecolor:t.bgcolor}(e,r)).style(\"stroke-width\",e.borderwidth+\"px\")}function b(t,e,r,n){var i,a;l.ensureSingle(t,\"text\",\"selector-text\",(function(t){t.attr(\"text-anchor\",\"middle\")})).call(s.font,e.font).text((i=r,a=n._fullLayout._meta,i.label?a?l.templateString(i.label,a):i.label:\"all\"===i.step?\"all\":i.count+i.step.charAt(0))).call((function(t){c.convertToTspans(t,n)}))}t.exports=function(t){var e=t._fullLayout._infolayer.selectAll(\".rangeselector\").data(function(t){for(var e=f.list(t,\"x\",!0),r=[],n=0;n<e.length;n++){var i=e[n];i.rangeselector&&i.rangeselector.visible&&r.push(i)}return r}(t),m);e.enter().append(\"g\").classed(\"rangeselector\",!0),e.exit().remove(),e.style({cursor:\"pointer\",\"pointer-events\":\"all\"}),e.each((function(e){var r=n.select(this),o=e,f=o.rangeselector,h=r.selectAll(\"g.button\").data(l.filterVisible(f.buttons));h.enter().append(\"g\").classed(\"button\",!0),h.exit().remove(),h.each((function(e){var r=n.select(this),a=y(o,e);e._isActive=function(t,e,r){if(\"all\"===e.step)return!0===t.autorange;var n=Object.keys(r);return 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w=\"top\";l.isBottomAnchor(r)&&(b-=h,w=\"bottom\"),l.isMiddleAnchor(r)&&(b-=h/2,w=\"middle\"),f=Math.ceil(f),h=Math.ceil(h),x=Math.round(x),b=Math.round(b),a.autoMargin(t,i+\"-range-selector\",{x:r.x,y:r.y,l:f*d[_],r:f*v[_],b:h*v[w],t:h*d[w]}),o.attr(\"transform\",u(x,b))}(t,h,f,o._name,r)}))}},70565:function(t,e,r){\"use strict\";var n=r(81041),i=r(71828).titleCase;t.exports=function(t,e){var r=t._name,a={};if(\"all\"===e.step)a[r+\".autorange\"]=!0;else{var o=function(t,e){var r,a=t.range,o=new Date(t.r2l(a[1])),s=e.step,l=n[\"utc\"+i(s)],u=e.count;switch(e.stepmode){case\"backward\":r=t.l2r(+l.offset(o,-u));break;case\"todate\":var c=l.offset(o,-u);r=t.l2r(+l.ceil(c))}return[r,a[1]]}(t,e);a[r+\".range[0]\"]=o[0],a[r+\".range[1]\"]=o[1]}return a}},97218:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"rangeselector\",schema:{subplots:{xaxis:{rangeselector:r(37113)}}},layoutAttributes:r(37113),handleDefaults:r(28674),draw:r(21598)}},75148:function(t,e,r){\"use 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n=r(71828),i=r(75148),a=r(47850),o=r(549);t.exports={moduleType:\"component\",name:\"rangeslider\",schema:{subplots:{xaxis:{rangeslider:n.extendFlat({},i,{yaxis:a})}}},layoutAttributes:r(75148),handleDefaults:r(26377),calcAutorange:r(88443),draw:r(72413),isVisible:o.isVisible,makeData:o.makeData,autoMarginOpts:o.autoMarginOpts}},47850:function(t){\"use strict\";t.exports={_isSubplotObj:!0,rangemode:{valType:\"enumerated\",values:[\"auto\",\"fixed\",\"match\"],dflt:\"match\",editType:\"calc\"},range:{valType:\"info_array\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},editType:\"calc\"}},8389:function(t,e,r){\"use strict\";var n=r(50215),i=r(82196).line,a=r(79952).P,o=r(1426).extendFlat,s=r(30962).overrideAll,l=r(44467).templatedArray;r(24695),t.exports=s(l(\"selection\",{type:{valType:\"enumerated\",values:[\"rect\",\"path\"]},xref:o({},n.xref,{}),yref:o({},n.yref,{}),x0:{valType:\"any\"},x1:{valType:\"any\"},y0:{valType:\"any\"},y1:{valType:\"any\"},path:{valType:\"string\",editType:\"arraydraw\"},opacity:{valType:\"number\",min:0,max:1,dflt:.7,editType:\"arraydraw\"},line:{color:i.color,width:o({},i.width,{min:1,dflt:1}),dash:o({},a,{dflt:\"dot\"})}}),\"arraydraw\",\"from-root\")},34122:function(t){\"use strict\";t.exports={BENDPX:1.5,MINSELECT:12,SELECTDELAY:100,SELECTID:\"-select\"}},59402:function(t,e,r){\"use strict\";var n=r(71828),i=r(89298),a=r(85501),o=r(8389),s=r(30477);function l(t,e,r){function a(r,i){return n.coerce(t,e,o,r,i)}var l=a(\"path\"),u=\"path\"!==a(\"type\",l?\"path\":\"rect\");u&&delete e.path,a(\"opacity\"),a(\"line.color\"),a(\"line.width\"),a(\"line.dash\");for(var c=[\"x\",\"y\"],f=0;f<2;f++){var h,p,d,v=c[f],g={_fullLayout:r},y=i.coerceRef(t,e,g,v);if((h=i.getFromId(g,y))._selectionIndices.push(e._index),d=s.rangeToShapePosition(h),p=s.shapePositionToRange(h),u){var m=v+\"0\",x=v+\"1\",b=t[m],_=t[x];t[m]=p(t[m],!0),t[x]=p(t[x],!0),i.coercePosition(e,g,a,y,m),i.coercePosition(e,g,a,y,x);var w=e[m],T=e[x];void 0!==w&&void 0!==T&&(e[m]=d(w),e[x]=d(T),t[m]=b,t[x]=_)}}u&&n.noneOrAll(t,e,[\"x0\",\"x1\",\"y0\",\"y1\"])}t.exports=function(t,e){a(t,e,{name:\"selections\",handleItemDefaults:l});for(var r=e.selections,n=0;n<r.length;n++){var i=r[n];i&&void 0===i.path&&(void 0!==i.x0&&void 0!==i.x1&&void 0!==i.y0&&void 0!==i.y1||(e.selections[n]=null))}}},32485:function(t,e,r){\"use strict\";var n=r(60165).readPaths,i=r(42359),a=r(51873).clearOutlineControllers,o=r(7901),s=r(91424),l=r(44467).arrayEditor,u=r(30477),c=u.getPathString;function f(t){var e=t._fullLayout;for(var r in a(t),e._selectionLayer.selectAll(\"path\").remove(),e._plots){var n=e._plots[r].selectionLayer;n&&n.selectAll(\"path\").remove()}for(var i=0;i<e.selections.length;i++)p(t,i)}function h(t){return t._context.editSelection}function p(t,e){t._fullLayout._paperdiv.selectAll('.selectionlayer [data-index=\"'+e+'\"]').remove();var r=u.makeSelectionsOptionsAndPlotinfo(t,e),a=r.options,p=r.plotinfo;a._input&&function(r){var u=c(t,a),g={\"data-index\":e,\"fill-rule\":\"evenodd\",d:u},y=a.opacity,m=\"rgba(0,0,0,0)\",x=a.line.color||o.contrast(t._fullLayout.plot_bgcolor),b=a.line.width,_=a.line.dash;b||(b=5,_=\"solid\");var w=h(t)&&t._fullLayout._activeSelectionIndex===e;w&&(m=t._fullLayout.activeselection.fillcolor,y=t._fullLayout.activeselection.opacity);for(var T=[],k=1;k>=0;k--){var A=r.append(\"path\").attr(g).style(\"opacity\",k?.1:y).call(o.stroke,x).call(o.fill,m).call(s.dashLine,k?\"solid\":_,k?4+b:b);if(d(A,t,a),w){var M=l(t.layout,\"selections\",a);A.style({cursor:\"move\"});var S={element:A.node(),plotinfo:p,gd:t,editHelpers:M,isActiveSelection:!0},E=n(u,t);i(E,A,S)}else A.style(\"pointer-events\",k?\"all\":\"none\");T[k]=A}var L=T[0];T[1].node().addEventListener(\"click\",(function(){return function(t,e){if(h(t)){var r=+e.node().getAttribute(\"data-index\");if(r>=0){if(r===t._fullLayout._activeSelectionIndex)return void v(t);t._fullLayout._activeSelectionIndex=r,t._fullLayout._deactivateSelection=v,f(t)}}}(t,L)}))}(t._fullLayout._selectionLayer)}function d(t,e,r){var n=r.xref+r.yref;s.setClipUrl(t,\"clip\"+e._fullLayout._uid+n,e)}function v(t){h(t)&&t._fullLayout._activeSelectionIndex>=0&&(a(t),delete t._fullLayout._activeSelectionIndex,f(t))}t.exports={draw:f,drawOne:p,activateLastSelection:function(t){if(h(t)){var e=t._fullLayout.selections.length-1;t._fullLayout._activeSelectionIndex=e,t._fullLayout._deactivateSelection=v,f(t)}}}},53777:function(t,e,r){\"use strict\";var n=r(79952).P,i=r(1426).extendFlat;t.exports={newselection:{mode:{valType:\"enumerated\",values:[\"immediate\",\"gradual\"],dflt:\"immediate\",editType:\"none\"},line:{color:{valType:\"color\",editType:\"none\"},width:{valType:\"number\",min:1,dflt:1,editType:\"none\"},dash:i({},n,{dflt:\"dot\",editType:\"none\"}),editType:\"none\"},editType:\"none\"},activeselection:{fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"none\"},opacity:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"none\"},editType:\"none\"}}},90849:function(t){\"use strict\";t.exports=function(t,e,r){r(\"newselection.mode\"),r(\"newselection.line.width\")&&(r(\"newselection.line.color\"),r(\"newselection.line.dash\")),r(\"activeselection.fillcolor\"),r(\"activeselection.opacity\")}},35855:function(t,e,r){\"use strict\";var n=r(64505).selectMode,i=r(51873).clearOutline,a=r(60165),o=a.readPaths,s=a.writePaths,l=a.fixDatesForPaths;t.exports=function(t,e){if(t.length){var r=t[0][0];if(r){var a=r.getAttribute(\"d\"),u=e.gd,c=u._fullLayout.newselection,f=e.plotinfo,h=f.xaxis,p=f.yaxis,d=e.isActiveSelection,v=e.dragmode,g=(u.layout||{}).selections||[];if(!n(v)&&void 0!==d){var y=u._fullLayout._activeSelectionIndex;if(y<g.length)switch(u._fullLayout.selections[y].type){case\"rect\":v=\"select\";break;case\"path\":v=\"lasso\"}}var m,x=o(a,u,f,d),b={xref:h._id,yref:p._id,opacity:c.opacity,line:{color:c.line.color,width:c.line.width,dash:c.line.dash}};1===x.length&&(m=x[0]),m&&5===m.length&&\"select\"===v?(b.type=\"rect\",b.x0=m[0][1],b.y0=m[0][2],b.x1=m[2][1],b.y1=m[2][2]):(b.type=\"path\",h&&p&&l(x,h,p),b.path=s(x),m=null),i(u);for(var _=e.editHelpers,w=(_||{}).modifyItem,T=[],k=0;k<g.length;k++){var A=u._fullLayout.selections[k];if(A){if(T[k]=A._input,void 0!==d&&k===u._fullLayout._activeSelectionIndex){var M=b;switch(A.type){case\"rect\":w(\"x0\",M.x0),w(\"x1\",M.x1),w(\"y0\",M.y0),w(\"y1\",M.y1);break;case\"path\":w(\"path\",M.path)}}}else T[k]=A}return void 0===d?(T.push(b),T):_?_.getUpdateObj():{}}}}},75549:function(t,e,r){\"use strict\";var n=r(71828).strTranslate;function i(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}t.exports={p2r:i,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return i(t,r[e])}},getTransform:function(t){return n(t.xaxis._offset,t.yaxis._offset)}}},47322:function(t,e,r){\"use strict\";var n=r(32485),i=r(3937);t.exports={moduleType:\"component\",name:\"selections\",layoutAttributes:r(8389),supplyLayoutDefaults:r(59402),supplyDrawNewSelectionDefaults:r(90849),includeBasePlot:r(76325)(\"selections\"),draw:n.draw,drawOne:n.drawOne,reselect:i.reselect,prepSelect:i.prepSelect,clearOutline:i.clearOutline,clearSelectionsCache:i.clearSelectionsCache,selectOnClick:i.selectOnClick}},3937:function(t,e,r){\"use strict\";var n=r(52142),i=r(38258),a=r(73972),o=r(91424).dashStyle,s=r(7901),l=r(30211),u=r(23469).makeEventData,c=r(64505),f=c.freeMode,h=c.rectMode,p=c.drawMode,d=c.openMode,v=c.selectMode,g=r(30477),y=r(21459),m=r(42359),x=r(51873).clearOutline,b=r(60165),_=b.handleEllipse,w=b.readPaths,T=r(90551),k=r(35855),A=r(32485).activateLastSelection,M=r(71828),S=M.sorterAsc,E=r(61082),L=r(79990),C=r(41675).getFromId,P=r(33306),O=r(61549).redrawReglTraces,I=r(34122),D=I.MINSELECT,z=E.filter,R=E.tester,F=r(75549),B=F.p2r,N=F.axValue,j=F.getTransform;function U(t){return void 0!==t.subplot}function V(t,e,r,n,i,a,o){var s,l,u,c,f,h,p,v,g,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf(\"event\")>-1,b=[];if(function(t){return t&&Array.isArray(t)&&!0!==t[0].hoverOnBox}(y)){Z(t,e,a);var _=function(t,e){var r,n,i=t[0],a=-1,o=[];for(n=0;n<e.length;n++)if(r=e[n],i.fullData._expandedIndex===r.cd[0].trace._expandedIndex){if(!0===i.hoverOnBox)break;void 0!==i.pointNumber?a=i.pointNumber:void 0!==i.binNumber&&(a=i.binNumber,o=i.pointNumbers);break}return{pointNumber:a,pointNumbers:o,searchInfo:r}}(y,s=X(e,r,n,i));if(_.pointNumbers.length>0?function(t,e){var r,n,i,a=[];for(i=0;i<t.length;i++)(r=t[i]).cd[0].trace.selectedpoints&&r.cd[0].trace.selectedpoints.length>0&&a.push(r);if(1===a.length&&a[0]===e.searchInfo&&(n=e.searchInfo.cd[0].trace).selectedpoints.length===e.pointNumbers.length){for(i=0;i<e.pointNumbers.length;i++)if(n.selectedpoints.indexOf(e.pointNumbers[i])<0)return!1;return!0}return!1}(s,_):function(t){var e,r,n=0;for(r=0;r<t.length;r++)if((e=t[r].cd[0].trace).selectedpoints){if(e.selectedpoints.length>1)return!1;if((n+=e.selectedpoints.length)>1)return!1}return 1===n}(s)&&(h=K(_))){for(o&&o.remove(),g=0;g<s.length;g++)(l=s[g])._module.selectPoints(l,!1);$(e,s),Y(a),x&&ht(e)}else{for(p=t.shiftKey&&(void 0!==h?h:K(_)),u=function(t,e,r){return{pointNumber:t,searchInfo:e,subtract:!!r}}(_.pointNumber,_.searchInfo,p),c=G(a.selectionDefs.concat([u])),g=0;g<s.length;g++)if(f=tt(s[g]._module.selectPoints(s[g],c),s[g]),b.length)for(var w=0;w<f.length;w++)b.push(f[w]);else b=f;if($(e,s,v={points:b}),u&&a&&a.selectionDefs.push(u),o){var T=a.mergedPolygons,k=d(a.dragmode);m(et(T,k),o,a)}x&&ft(e,v)}}}function H(t){return\"pointNumber\"in t&&\"searchInfo\"in t}function q(t){return{xmin:0,xmax:0,ymin:0,ymax:0,pts:[],contains:function(e,r,n,i){var a=t.searchInfo.cd[0].trace._expandedIndex;return i.cd[0].trace._expandedIndex===a&&n===t.pointNumber},isRect:!1,degenerate:!1,subtract:!!t.subtract}}function G(t){if(t.length){for(var e=[],r=H(t[0])?0:t[0][0][0],n=r,i=H(t[0])?0:t[0][0][1],a=i,o=0;o<t.length;o++)if(H(t[o]))e.push(q(t[o]));else{var s=R(t[o]);s.subtract=!!t[o].subtract,e.push(s),r=Math.min(r,s.xmin),n=Math.max(n,s.xmax),i=Math.min(i,s.ymin),a=Math.max(a,s.ymax)}return{xmin:r,xmax:n,ymin:i,ymax:a,pts:[],contains:function(t,r,n,i){for(var a=!1,o=0;o<e.length;o++)e[o].contains(t,r,n,i)&&(a=!e[o].subtract);return a},isRect:!1,degenerate:!1}}}function Z(t,e,r){var n=e._fullLayout,i=r.plotinfo,a=r.dragmode,o=n._lastSelectedSubplot&&n._lastSelectedSubplot===i.id,s=(t.shiftKey||t.altKey)&&!(p(a)&&d(a));o&&s&&i.selection&&i.selection.selectionDefs&&!r.selectionDefs?(r.selectionDefs=i.selection.selectionDefs,r.mergedPolygons=i.selection.mergedPolygons):s&&i.selection||Y(r),o||(x(e),n._lastSelectedSubplot=i.id)}function Y(t,e){var r=t.dragmode,n=t.plotinfo,i=t.gd;(function(t){return t._fullLayout._activeShapeIndex>=0})(i)&&i._fullLayout._deactivateShape(i),function(t){return t._fullLayout._activeSelectionIndex>=0}(i)&&i._fullLayout._deactivateSelection(i);var o=i._fullLayout._zoomlayer,s=p(r),l=v(r);if(s||l){var u,c,f=o.selectAll(\".select-outline-\"+n.id);f&&i._fullLayout._outlining&&(s&&(u=T(f,t)),u&&a.call(\"_guiRelayout\",i,{shapes:u}),l&&!U(t)&&(c=k(f,t)),c&&(i._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",i,{selections:c}).then((function(){e&&A(i)}))),i._fullLayout._outlining=!1)}n.selection={},n.selection.selectionDefs=t.selectionDefs=[],n.selection.mergedPolygons=t.mergedPolygons=[]}function W(t){return t._id}function X(t,e,r,n){if(!t.calcdata)return[];var i,a,o,s=[],l=e.map(W),u=r.map(W);for(o=0;o<t.calcdata.length;o++)if(!0===(a=(i=t.calcdata[o])[0].trace).visible&&a._module&&a._module.selectPoints)if(!U({subplot:n})||a.subplot!==n&&a.geo!==n)if(\"splom\"===a.type){if(a._xaxes[l[0]]&&a._yaxes[u[0]]){var c=J(a._module,i,e[0],r[0]);c.scene=t._fullLayout._splomScenes[a.uid],s.push(c)}}else if(\"sankey\"===a.type){var f=J(a._module,i,e[0],r[0]);s.push(f)}else{if(-1===l.indexOf(a.xaxis))continue;if(-1===u.indexOf(a.yaxis))continue;s.push(J(a._module,i,C(t,a.xaxis),C(t,a.yaxis)))}else s.push(J(a._module,i,e[0],r[0]));return s}function J(t,e,r,n){return{_module:t,cd:e,xaxis:r,yaxis:n}}function K(t){var e=t.searchInfo.cd[0].trace,r=t.pointNumber,n=t.pointNumbers,i=n.length>0?n[0]:r;return!!e.selectedpoints&&e.selectedpoints.indexOf(i)>-1}function $(t,e,r){var n,i;for(n=0;n<e.length;n++){var o=e[n].cd[0].trace._fullInput,s=t._fullLayout._tracePreGUI[o.uid]||{};void 0===s.selectedpoints&&(s.selectedpoints=o._input.selectedpoints||null)}if(r){var l=r.points||[];for(n=0;n<e.length;n++)(i=e[n].cd[0].trace)._input.selectedpoints=i._fullInput.selectedpoints=[],i._fullInput!==i&&(i.selectedpoints=[]);for(var u=0;u<l.length;u++){var c=l[u],f=c.data,h=c.fullData,p=c.pointIndex,d=c.pointIndices;d?([].push.apply(f.selectedpoints,d),i._fullInput!==i&&[].push.apply(h.selectedpoints,d)):(f.selectedpoints.push(p),i._fullInput!==i&&h.selectedpoints.push(p))}}else for(n=0;n<e.length;n++)delete(i=e[n].cd[0].trace).selectedpoints,delete i._input.selectedpoints,i._fullInput!==i&&delete i._fullInput.selectedpoints;!function(t,e){for(var r=!1,n=0;n<e.length;n++){var i=e[n],o=i.cd;a.traceIs(o[0].trace,\"regl\")&&(r=!0);var s=i._module,l=s.styleOnSelect||s.style;l&&(l(t,o,o[0].node3),o[0].nodeRangePlot3&&l(t,o,o[0].nodeRangePlot3))}r&&(P(t),O(t))}(t,e)}function Q(t,e,r){for(var i=(r?n.difference:n.union)({regions:t},{regions:[e]}).regions.reverse(),a=0;a<i.length;a++){var o=i[a];o.subtract=st(o,i.slice(0,a))}return i}function tt(t,e){if(Array.isArray(t))for(var r=e.cd,n=e.cd[0].trace,i=0;i<t.length;i++)t[i]=u(t[i],n,r);return t}function et(t,e){for(var r=[],n=0;n<t.length;n++){r[n]=[];for(var 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n=(2*e-r)%e,i=(e/2+n)%e,o=(e/2+r)%e;if(!h(p(t[r],t[o]),p(t[n],t[i])))return!1}return!0},e.handleEllipse=function(t,r,n){if(!t)return[r,n];var i=e.ellipseOver({x0:r[0],y0:r[1],x1:n[0],y1:n[1]}),s=(i.x1+i.x0)/2,l=(i.y1+i.y0)/2,u=(i.x1-i.x0)/2,c=(i.y1-i.y0)/2;u||(u=c/=o),c||(c=u/=o);for(var f=[],h=0;h<a;h++){var p=2*h*Math.PI/a;f.push([s+u*Math.cos(p),l+c*Math.sin(p)])}return f},e.ellipseOver=function(t){var e=t.x0,r=t.y0,n=t.x1,i=t.y1,a=n-e,s=i-r,l=((e-=a)+n)/2,u=((r-=s)+i)/2;return{x0:l-(a*=o),y0:u-(s*=o),x1:l+a,y1:u+s}},e.fixDatesForPaths=function(t,e,r){var n=\"date\"===e.type,i=\"date\"===r.type;if(!n&&!i)return t;for(var a=0;a<t.length;a++)for(var o=0;o<t[a].length;o++)for(var s=0;s+2<t[a][o].length;s+=2)n&&(t[a][o][s+1]=t[a][o][s+1].replace(\" \",\"_\")),i&&(t[a][o][s+2]=t[a][o][s+2].replace(\" \",\"_\"));return t}},90551:function(t,e,r){\"use strict\";var n=r(64505),i=n.drawMode,a=n.openMode,o=r(89995),s=o.i000,l=o.i090,u=o.i180,c=o.i270,f=o.cos45,h=o.sin45,p=r(75549),d=p.p2r,v=p.r2p,g=r(51873).clearOutline,y=r(60165),m=y.readPaths,x=y.writePaths,b=y.ellipseOver,_=y.fixDatesForPaths;t.exports=function(t,e){if(t.length){var r=t[0][0];if(r){var n=r.getAttribute(\"d\"),o=e.gd,p=o._fullLayout.newshape,y=e.plotinfo,w=y.xaxis,T=y.yaxis,k=!!y.domain||!y.xaxis,A=!!y.domain||!y.yaxis,M=e.isActiveShape,S=e.dragmode,E=(o.layout||{}).shapes||[];if(!i(S)&&void 0!==M){var L=o._fullLayout._activeShapeIndex;if(L<E.length)switch(o._fullLayout.shapes[L].type){case\"rect\":S=\"drawrect\";break;case\"circle\":S=\"drawcircle\";break;case\"line\":S=\"drawline\";break;case\"path\":var C=E[L].path||\"\";S=\"Z\"===C[C.length-1]?\"drawclosedpath\":\"drawopenpath\"}}var P,O=a(S),I=m(n,o,y,M),D={editable:!0,xref:k?\"paper\":w._id,yref:A?\"paper\":T._id,layer:p.layer,opacity:p.opacity,line:{color:p.line.color,width:p.line.width,dash:p.line.dash}};if(O||(D.fillcolor=p.fillcolor,D.fillrule=p.fillrule),1===I.length&&(P=I[0]),P&&5===P.length&&\"drawrect\"===S)D.type=\"rect\",D.x0=P[0][1],D.y0=P[0][2],D.x1=P[2][1],D.y1=P[2][2];else if(P&&\"drawline\"===S)D.type=\"line\",D.x0=P[0][1],D.y0=P[0][2],D.x1=P[1][1],D.y1=P[1][2];else if(P&&\"drawcircle\"===S){D.type=\"circle\";var z=P[s][1],R=P[l][1],F=P[u][1],B=P[c][1],N=P[s][2],j=P[l][2],U=P[u][2],V=P[c][2],H=y.xaxis&&(\"date\"===y.xaxis.type||\"log\"===y.xaxis.type),q=y.yaxis&&(\"date\"===y.yaxis.type||\"log\"===y.yaxis.type);H&&(z=v(y.xaxis,z),R=v(y.xaxis,R),F=v(y.xaxis,F),B=v(y.xaxis,B)),q&&(N=v(y.yaxis,N),j=v(y.yaxis,j),U=v(y.yaxis,U),V=v(y.yaxis,V));var 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n?n._hadPlotinfo=!0:(n={},r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),{options:r,plotinfo:n}},e.getPathString=function(t,r){var o,s,l,u,c,f,h,p,d=r.type,v=a.getRefType(r.xref),g=a.getRefType(r.yref),y=a.getFromId(t,r.xref),m=a.getFromId(t,r.yref),x=t._fullLayout._size;if(y?\"domain\"===v?s=function(t){return y._offset+y._length*t}:(o=e.shapePositionToRange(y),s=function(t){return y._offset+y.r2p(o(t,!0))}):s=function(t){return x.l+x.w*t},m?\"domain\"===g?u=function(t){return m._offset+m._length*(1-t)}:(l=e.shapePositionToRange(m),u=function(t){return m._offset+m.r2p(l(t,!0))}):u=function(t){return x.t+x.h*(1-t)},\"path\"===d)return y&&\"date\"===y.type&&(s=e.decodeDate(s)),m&&\"date\"===m.type&&(u=e.decodeDate(u)),function(t,e,r){var a=t.path,o=t.xsizemode,s=t.ysizemode,l=t.xanchor,u=t.yanchor;return a.replace(n.segmentRE,(function(t){var a=0,c=t.charAt(0),f=n.paramIsX[c],h=n.paramIsY[c],p=n.numParams[c],d=t.substr(1).replace(n.paramRE,(function(t){return f[a]?t=\"pixel\"===o?e(l)+Number(t):e(t):h[a]&&(t=\"pixel\"===s?r(u)-Number(t):r(t)),++a>p&&(t=\"X\"),t}));return a>p&&(d=d.replace(/[\\s,]*X.*/,\"\"),i.log(\"Ignoring extra params in segment \"+t)),c+d}))}(r,s,u);if(\"pixel\"===r.xsizemode){var b=s(r.xanchor);c=b+r.x0,f=b+r.x1}else c=s(r.x0),f=s(r.x1);if(\"pixel\"===r.ysizemode){var _=u(r.yanchor);h=_-r.y0,p=_-r.y1}else h=u(r.y0),p=u(r.y1);if(\"line\"===d)return\"M\"+c+\",\"+h+\"L\"+f+\",\"+p;if(\"rect\"===d)return\"M\"+c+\",\"+h+\"H\"+f+\"V\"+p+\"H\"+c+\"Z\";var w=(c+f)/2,T=(h+p)/2,k=Math.abs(w-c),A=Math.abs(T-h),M=\"A\"+k+\",\"+A,S=w+k+\",\"+T;return\"M\"+S+M+\" 0 1,1 \"+w+\",\"+(T-A)+M+\" 0 0,1 \"+S+\"Z\"}},89853:function(t,e,r){\"use strict\";var n=r(34031);t.exports={moduleType:\"component\",name:\"shapes\",layoutAttributes:r(89827),supplyLayoutDefaults:r(84726),supplyDrawNewShapeDefaults:r(45547),includeBasePlot:r(76325)(\"shapes\"),calcAutorange:r(5627),draw:n.draw,drawOne:n.drawOne}},75067:function(t,e,r){\"use strict\";var n=r(41940),i=r(35025),a=r(1426).extendDeepAll,o=r(30962).overrideAll,s=r(85594),l=r(44467).templatedArray,u=r(98292),c=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});t.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:c,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:a(i({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:u.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:u.railBgColor},bordercolor:{valType:\"color\",dflt:u.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:u.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:u.tickLength},tickcolor:{valType:\"color\",dflt:u.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:u.minorTickLength}}),\"arraydraw\",\"from-root\")},98292:function(t){\"use 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h=t._fullLayout._size;c.lx=h.l+h.w*e.x,c.ly=h.t+h.h*(1-e.y),\"fraction\"===e.lenmode?c.outerLength=Math.round(h.w*e.len):c.outerLength=e.len,c.inputAreaStart=0,c.inputAreaLength=Math.round(c.outerLength-e.pad.l-e.pad.r);var p=(c.inputAreaLength-2*f.stepInset)/(e._stepCount-1),y=a+f.labelPadding;if(c.labelStride=Math.max(1,Math.ceil(y/p)),c.labelHeight=l,c.currentValueMaxWidth=0,c.currentValueHeight=0,c.currentValueTotalHeight=0,c.currentValueMaxLines=1,e.currentvalue.visible){var m=o.tester.append(\"g\");r.each((function(t){var 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T={y:e.y,b:c.height*v[w],t:c.height*d[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[b],T.r=0,T.xr=e.x+e.len*v[b]):(T.x=e.x,T.l=c.outerLength*d[b],T.r=c.outerLength*v[b]),i.autoMargin(t,g(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=a.inputAreaLength-f.currentValueInset-a.currentValueMaxWidth,i=\"left\";break;case\"center\":n=.5*a.inputAreaLength,i=\"middle\";break;default:n=f.currentValueInset,i=\"left\"}var l=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":i,\"data-notex\":1})})),c=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)c+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),c+=h}e.currentvalue.suffix&&(c+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(c).call(u.convertToTspans,e._gd);var v=u.lineCount(l),g=(a.currentValueMaxLines+1-v)*e.currentvalue.font.size*p;return 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H=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault(),n.event.sourceEvent.stopPropagation()})).on(\"drag\",this._onBarDrag.bind(this));k&&this.hbar.on(\".drag\",null).call(H),C&&this.vbar.on(\".drag\",null).call(H)}this.setTranslate(e,r)},s.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(\".drag\",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(\".drag\",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)},s.prototype._onBoxDrag=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t-=n.event.dx),this.vbar&&(e-=n.event.dy),this.setTranslate(t,e)},s.prototype._onBoxWheel=function(){var 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s=r._toppaper.append(\"g\").classed(\"layer-above\",!0);r._imageUpperLayer=s.append(\"g\").classed(\"imagelayer\",!0),r._shapeUpperLayer=s.append(\"g\").classed(\"shapelayer\",!0),r._selectionLayer=r._toppaper.append(\"g\").classed(\"selectionlayer\",!0),r._infolayer=r._toppaper.append(\"g\").classed(\"infolayer\",!0),r._menulayer=r._toppaper.append(\"g\").classed(\"menulayer\",!0),r._zoomlayer=r._toppaper.append(\"g\").classed(\"zoomlayer\",!0),r._hoverlayer=r._hoverpaper.append(\"g\").classed(\"hoverlayer\",!0),r._modebardiv.classed(\"modebar-container\",!0).style(\"position\",\"absolute\").style(\"top\",\"0px\").style(\"right\",\"0px\"),t.emit(\"plotly_framework\")}(t),v._shouldCreateBgLayer&&delete v._shouldCreateBgLayer),d.initGradients(t),d.initPatterns(t),f&&p.saveShowSpikeInitial(t);var x=!t.calcdata||t.calcdata.length!==(t._fullData||[]).length;x&&h.doCalcdata(t);for(var 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r=v._basePlotModules,n=0;n<r.length;n++)r[n].drawFramework&&r[n].drawFramework(t);!v._glcanvas&&v._has(\"gl\")&&(v._glcanvas=v._glcontainer.selectAll(\".gl-canvas\").data([{key:\"contextLayer\",context:!0,pick:!1},{key:\"focusLayer\",context:!1,pick:!1},{key:\"pickLayer\",context:!1,pick:!0}],(function(t){return t.key})),v._glcanvas.enter().append(\"canvas\").attr(\"class\",(function(t){return\"gl-canvas gl-canvas-\"+t.key.replace(\"Layer\",\"\")})).style({position:\"absolute\",top:0,left:0,overflow:\"visible\",\"pointer-events\":\"none\"}));var i=t._context.plotGlPixelRatio;if(v._glcanvas){v._glcanvas.attr(\"width\",v.width*i).attr(\"height\",v.height*i).style(\"width\",v.width+\"px\").style(\"height\",v.height+\"px\");var a=v._glcanvas.data()[0].regl;if(a&&(Math.floor(v.width*i)!==a._gl.drawingBufferWidth||Math.floor(v.height*i)!==a._gl.drawingBufferHeight)){var s=\"WebGL context buffer and canvas dimensions do not match due to browser/WebGL bug.\";if(!k)return o.log(s+\" Clearing 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z=!D;D?(t._dtickInit=t.dtick,t._tick0Init=t.tick0):(t.minor._dtickInit=t.minor.dtick,t.minor._tick0Init=t.minor.tick0);var R=D?t:s.extendFlat({},t,t.minor);if(z?q.prepMinorTicks(R,t,e):q.prepTicks(R,e),\"array\"!==R.tickmode)if(\"sync\"!==R.tickmode){var F=J(c),B=F[0],N=F[1],j=i(R.dtick),U=\"log\"===a&&!(j||\"L\"===R.dtick.charAt(0)),V=q.tickFirst(R,e);if(D){if(t._tmin=V,V<B!==f)break;\"category\"!==a&&\"multicategory\"!==a||(N=f?Math.max(-.5,N):Math.min(t._categories.length-.5,N))}var H,G,Z=null,Y=V;D&&(j?G=t.dtick:\"date\"===a?\"string\"==typeof t.dtick&&\"M\"===t.dtick.charAt(0)&&(G=T*t.dtick.substring(1)):G=t._roughDTick,H=Math.round((t.r2l(Y)-t.r2l(t.tick0))/G)-1);var W=R.dtick;for(R.rangebreaks&&R._tick0Init!==R.tick0&&(Y=Dt(Y,t),f||(Y=q.tickIncrement(Y,W,!f,o))),D&&u&&(Y=q.tickIncrement(Y,W,!f,o),H--);f?Y>=N:Y<=N;Y=q.tickIncrement(Y,W,f,o)){if(D&&H++,R.rangebreaks&&!f){if(Y<B)continue;if(R.maskBreaks(Y)===O&&Dt(Y,R)>=p)break}if(C.length>d||Y===Z)break;Z=Y;var X={value:Y};D?(U&&Y!==(0|Y)&&(X.simpleLabel=!0),l>1&&H%l&&(X.skipLabel=!0),C.push(X)):(X.minor=!0,P.push(X))}}else C=[],v=it(t);else D?(C=[],v=at(t)):(P=[],L=at(t))}if(I&&!(\"inside\"===t.minor.ticks&&\"outside\"===t.ticks||\"outside\"===t.minor.ticks&&\"inside\"===t.ticks)){for(var K=C.map((function(t){return t.value})),$=[],Q=0;Q<P.length;Q++){var tt=P[Q],et=tt.value;if(-1===K.indexOf(et)){for(var rt=!1,nt=0;!rt&&nt<C.length;nt++)1e7+C[nt].value===1e7+et&&(rt=!0);rt||$.push(tt)}}P=$}if(u&&function(t,e,r){for(var n=0;n<t.length;n++){var i=t[n].value,a=n,o=n+1;n<t.length-1?(a=n,o=n+1):n>0?(a=n-1,o=n):(a=n,o=n);var s,l=t[a].value,u=t[o].value,c=Math.abs(u-l),f=r||c,h=0;f>=m?h=c>=m&&c<=g?c:y:r===b&&f>=_?h=c>=_&&c<=x?c:b:f>=k?h=c>=k&&c<=w?c:T:r===A&&f>=A?h=A:f>=M?h=M:r===S&&f>=S?h=S:r===E&&f>=E&&(h=E),h>=c&&(h=c,s=!0);var p=i+h;if(e.rangebreaks&&h>0){for(var d=0,v=0;v<84;v++){var L=(v+.5)/84;e.maskBreaks(i*(1-L)+L*p)!==O&&d++}(h*=d/84)||(t[n].drop=!0),s&&c>A&&(h=c)}(h>0||0===n)&&(t[n].periodX=i+h/2)}}(C,t,t._definedDelta),t.rangebreaks){var ot=\"y\"===t._id.charAt(0),st=1;\"auto\"===t.tickmode&&(st=t.tickfont?t.tickfont.size:12);var lt=NaN;for(r=C.length-1;r>-1;r--)if(C[r].drop)C.splice(r,1);else{C[r].value=Dt(C[r].value,t);var ut=t.c2p(C[r].value);(ot?lt>ut-st:lt<ut+st)?C.splice(f?r+1:r,1):lt=ut}}It(t)&&360===Math.abs(c[1]-c[0])&&C.pop(),t._tmax=(C[C.length-1]||{}).value,t._prevDateHead=\"\",t._inCalcTicks=!0;var ct,ft,ht=function(e){e.text=\"\",t._prevDateHead=n};for(C=C.concat(P),r=0;r<C.length;r++){var pt=C[r].minor,dt=C[r].value;pt?L.push({x:dt,minor:!0}):(n=t._prevDateHead,ct=q.tickText(t,dt,!1,C[r].simpleLabel),void 0!==(ft=C[r].periodX)&&(ct.periodX=ft,(ft>p||ft<h)&&(ft>p&&(ct.periodX=p),ft<h&&(ct.periodX=h),ht(ct))),C[r].skipLabel&&ht(ct),v.push(ct))}return v=v.concat(L),t._inCalcTicks=!1,u&&v.length&&(v[0].noTick=!0),v};var ot=[2,5,10],st=[1,2,3,6,12],lt=[1,2,5,10,15,30],ut=[1,2,3,7,14],ct=[-.046,0,.301,.477,.602,.699,.778,.845,.903,.954,1],ft=[-.301,0,.301,.699,1],ht=[15,30,45,90,180];function pt(t,e,r){return e*s.roundUp(t/e,r)}function dt(t){var e=t.dtick;if(t._tickexponent=0,i(e)||\"string\"==typeof e||(e=1),\"category\"!==t.type&&\"multicategory\"!==t.type||(t._tickround=null),\"date\"===t.type){var r=t.r2l(t.tick0),n=t.l2r(r).replace(/(^-|i)/g,\"\"),a=n.length;if(\"M\"===String(e).charAt(0))a>10||\"01-01\"!==n.substr(5)?t._tickround=\"d\":t._tickround=+e.substr(1)%12==0?\"y\":\"m\";else if(e>=M&&a<=10||e>=15*M)t._tickround=\"d\";else if(e>=L&&a<=16||e>=E)t._tickround=\"M\";else if(e>=C&&a<=19||e>=L)t._tickround=\"S\";else{var o=t.l2r(r+e).replace(/^-/,\"\").length;t._tickround=Math.max(a,o)-20,t._tickround<0&&(t._tickround=4)}}else if(i(e)||\"L\"===e.charAt(0)){var s=t.range.map(t.r2d||Number);i(e)||(e=Number(e.substr(1))),t._tickround=2-Math.floor(Math.log(e)/Math.LN10+.01);var 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s=t._fullLayout;ut=s._has(\"scattergl\"),ct=s._has(\"splom\"),ft=s._has(\"svg\")}r+=e.yaxis._shift,mt();var xt=function(t,e,r){return t?\"nsew\"===t?r?\"\":\"pan\"===e?\"move\":\"crosshair\":t.toLowerCase()+\"-resize\":\"pointer\"}(at+it,t._fullLayout.dragmode,gt),bt=D(e,v+y+\"drag\",xt,r,s,u,f);if(ot&&!gt)return bt.onmousedown=null,bt.style.pointerEvents=\"none\",bt;var _t,wt,Tt,kt,At,Mt,St,Et,Lt,Ct,Pt={element:bt,gd:t,plotinfo:e};function Ot(){Pt.plotinfo.selection=!1,M(t)}function It(t,r){var i=Pt.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var o=i._fullLayout.clickmode;if(H(i),2!==t||yt||qt(),gt)o.indexOf(\"select\")>-1&&S(r,i,J,K,e.id,Pt),o.indexOf(\"event\")>-1&&p.click(i,r,e.id);else if(1===t&&yt){var s=v?I:O,u=\"s\"===v||\"w\"===y?0:1,f=s._name+\".range[\"+u+\"]\",h=function(t,e){var 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n=r(39898),i=r(27362),a=i.geoPath,o=i.geoDistance,s=r(65704),l=r(73972),u=r(71828),c=u.strTranslate,f=r(7901),h=r(91424),p=r(30211),d=r(74875),v=r(89298),g=r(71739).getAutoRange,y=r(28569),m=r(47322).prepSelect,x=r(47322).clearOutline,b=r(47322).selectOnClick,_=r(74455),w=r(78776),T=r(41327),k=r(90973),A=r(96892).zL;function M(t){this.id=t.id,this.graphDiv=t.graphDiv,this.container=t.container,this.topojsonURL=t.topojsonURL,this.isStatic=t.staticPlot,this.topojsonName=null,this.topojson=null,this.projection=null,this.scope=null,this.viewInitial=null,this.fitScale=null,this.bounds=null,this.midPt=null,this.hasChoropleth=!1,this.traceHash={},this.layers={},this.basePaths={},this.dataPaths={},this.dataPoints={},this.clipDef=null,this.clipRect=null,this.bgRect=null,this.makeFramework()}var S=M.prototype;function E(t,e){var r=w.clipPad,n=t[0]+r,i=t[1]-r,a=e[0]+r,o=e[1]-r;n>0&&i<0&&(i+=360);var 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0)&&r(\"lakecolor\"),r(\"showrivers\",!!x&&void 0)&&(r(\"rivercolor\"),r(\"riverwidth\")),r(\"showcountries\",d&&\"usa\"!==c&&x)&&(r(\"countrycolor\"),r(\"countrywidth\")),(\"usa\"===c||\"north america\"===c&&50===u)&&(r(\"showsubunits\",x),r(\"subunitcolor\"),r(\"subunitwidth\")),d||r(\"showframe\",x)&&(r(\"framecolor\"),r(\"framewidth\")),r(\"bgcolor\"),r(\"fitbounds\")&&(delete e.projection.scale,d?(delete e.center.lon,delete e.center.lat):y?(delete e.center.lon,delete e.center.lat,delete e.projection.rotation.lon,delete e.projection.rotation.lat,delete e.lonaxis.range,delete e.lataxis.range):(delete e.center.lon,delete e.center.lat,delete e.projection.rotation.lon))}t.exports=function(t,e,r){i(t,e,r,{type:\"geo\",attributes:s,handleDefaults:u,fullData:r,partition:\"y\"})}},74455:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828),a=r(73972),o=Math.PI/180,s=180/Math.PI,l={cursor:\"pointer\"},u={cursor:\"auto\"};function c(t,e){return n.behavior.zoom().translate(e.translate()).scale(e.scale())}function f(t,e,r){var n=t.id,o=t.graphDiv,s=o.layout,l=s[n],u=o._fullLayout,c=u[n],f={},h={};function p(t,e){f[n+\".\"+t]=i.nestedProperty(l,t).get(),a.call(\"_storeDirectGUIEdit\",s,u._preGUI,f);var r=i.nestedProperty(c,t);r.get()!==e&&(r.set(e),i.nestedProperty(l,t).set(e),h[n+\".\"+t]=e)}r(p),p(\"projection.scale\",e.scale()/t.fitScale),p(\"fitbounds\",!1),o.emit(\"plotly_relayout\",h)}function h(t,e){var r=c(0,e);function i(r){var n=e.invert(t.midPt);r(\"center.lon\",n[0]),r(\"center.lat\",n[1])}return r.on(\"zoomstart\",(function(){n.select(this).style(l)})).on(\"zoom\",(function(){e.scale(n.event.scale).translate(n.event.translate),t.render(!0);var r=e.invert(t.midPt);t.graphDiv.emit(\"plotly_relayouting\",{\"geo.projection.scale\":e.scale()/t.fitScale,\"geo.center.lon\":r[0],\"geo.center.lat\":r[1]})})).on(\"zoomend\",(function(){n.select(this).style(u),f(t,e,i)})),r}function p(t,e){var r,i,a,o,s,h,p,d,v,g=c(0,e);function y(t){return e.invert(t)}function m(r){var n=e.rotate(),i=e.invert(t.midPt);r(\"projection.rotation.lon\",-n[0]),r(\"center.lon\",i[0]),r(\"center.lat\",i[1])}return g.on(\"zoomstart\",(function(){n.select(this).style(l),r=n.mouse(this),i=e.rotate(),a=e.translate(),o=i,s=y(r)})).on(\"zoom\",(function(){if(h=n.mouse(this),function(t){var r=y(t);if(!r)return!0;var n=e(r);return Math.abs(n[0]-t[0])>2||Math.abs(n[1]-t[1])>2}(r))return g.scale(e.scale()),void g.translate(e.translate());e.scale(n.event.scale),e.translate([a[0],n.event.translate[1]]),s?y(h)&&(d=y(h),p=[o[0]+(d[0]-s[0]),i[1],i[2]],e.rotate(p),o=p):s=y(r=h),v=!0,t.render(!0);var l=e.rotate(),u=e.invert(t.midPt);t.graphDiv.emit(\"plotly_relayouting\",{\"geo.projection.scale\":e.scale()/t.fitScale,\"geo.center.lon\":u[0],\"geo.center.lat\":u[1],\"geo.projection.rotation.lon\":-l[0]})})).on(\"zoomend\",(function(){n.select(this).style(u),v&&f(t,e,m)})),g}function d(t,e){var r,i={r:e.rotate(),k:e.scale()},a=c(0,e),o=function(t){for(var e=0,r=arguments.length,i=[];++e<r;)i.push(arguments[e]);var a=n.dispatch.apply(null,i);return a.of=function(e,r){return function(i){var o;try{o=i.sourceEvent=n.event,i.target=t,n.event=i,a[i.type].apply(e,r)}finally{n.event=o}}},a}(a,\"zoomstart\",\"zoom\",\"zoomend\"),s=0,h=a.on;function p(t){s++||t({type:\"zoomstart\"})}function d(t){t({type:\"zoom\"})}function b(t){--s||t({type:\"zoomend\"})}function _(t){var r=e.rotate();t(\"projection.rotation.lon\",-r[0]),t(\"projection.rotation.lat\",-r[1])}return a.on(\"zoomstart\",(function(){n.select(this).style(l);var t=n.mouse(this),s=e.rotate(),u=s,c=e.translate(),f=g(s);r=v(e,t),h.call(a,\"zoom\",(function(){var a=n.mouse(this);if(e.scale(i.k=n.event.scale),r){if(v(e,a)){e.rotate(s).translate(c);var l=v(e,a),h=m(r,l),p=T(y(f,h)),g=i.r=x(p,r,u);isFinite(g[0])&&isFinite(g[1])&&isFinite(g[2])||(g=u),e.rotate(g),u=g}}else 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r=function(t,e){return[t[1]*e[2]-t[2]*e[1],t[2]*e[0]-t[0]*e[2],t[0]*e[1]-t[1]*e[0]]}(t,e),n=Math.sqrt(k(r,r)),i=.5*Math.acos(Math.max(-1,Math.min(1,k(t,e)))),a=Math.sin(i)/n;return n&&[Math.cos(i),r[2]*a,-r[1]*a,r[0]*a]}}function x(t,e,r){var n=w(e,2,t[0]);n=w(n,1,t[1]),n=w(n,0,t[2]-r[2]);var i,a,o=e[0],l=e[1],u=e[2],c=n[0],f=n[1],h=n[2],p=Math.atan2(l,o)*s,d=Math.sqrt(o*o+l*l);Math.abs(f)>d?(a=(f>0?90:-90)-p,i=0):(a=Math.asin(f/d)*s-p,i=Math.sqrt(d*d-f*f));var v=180-a-2*p,g=(Math.atan2(h,c)-Math.atan2(u,i))*s,y=(Math.atan2(h,c)-Math.atan2(u,-i))*s;return b(r[0],r[1],a,g)<=b(r[0],r[1],v,y)?[a,g,r[2]]:[v,y,r[2]]}function b(t,e,r,n){var i=_(r-t),a=_(n-e);return Math.sqrt(i*i+a*a)}function _(t){return(t%360+540)%360-180}function w(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),u=Math.sin(n);return i[a]=t[a]*l-t[s]*u,i[s]=t[s]*l+t[a]*u,i}function 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c=r.match(i);o=\"x\"+c[1],s=\"y\"+c[2]}for(var f=0;f<t.length;f++)a=t[f],\"gl2d\"===e&&n.traceIs(a,\"gl2d\")?a[l[0]]===o&&a[l[1]]===s&&u.push(a):a[l]===r&&u.push(a);return u}},75071:function(t,e,r){\"use strict\";var n=r(16825),i=r(1195),a=r(48956),o=r(85555),s=r(38520);function l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}t.exports=function(t){var e=t.mouseContainer,r=t.glplot,u=new l(e,r);function c(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function f(e,n,i){var a,s,l=t.calcDataBox(),f=r.viewBox,h=u.lastPos[0],p=u.lastPos[1],d=o.MINDRAG*r.pixelRatio,v=o.MINZOOM*r.pixelRatio;function g(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,u.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case\"zoom\":if(e){var y=n/(f[2]-f[0])*(l[2]-l[0])+l[0],m=i/(f[3]-f[1])*(l[3]-l[1])+l[1];u.boxInited||(u.boxStart[0]=y,u.boxStart[1]=m,u.dragStart[0]=n,u.dragStart[1]=i),u.boxEnd[0]=y,u.boxEnd[1]=m,u.boxInited=!0,u.boxEnabled||u.boxStart[0]===u.boxEnd[0]&&u.boxStart[1]===u.boxEnd[1]||(u.boxEnabled=!0);var x=Math.abs(u.dragStart[0]-n)<v,b=Math.abs(u.dragStart[1]-i)<v;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(u.boxEnd[0]=u.boxStart[0]),b&&(u.boxEnd[1]=u.boxStart[1]);else{a=u.boxEnd[0]-u.boxStart[0],s=u.boxEnd[1]-u.boxStart[1];var 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o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,u,c,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;u=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!u,l=this.hasAxisInAltrPos(e,r)&&!u,a=r.mirror||!1,c=u?-1!==String(a).indexOf(\"all\"):!!a,f=u?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||c)&&(this.borderLineEnable[h]=r.showline),(l||c)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=1.5,n=e.title.font.size,i=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},t.exports=function(t){return new a(t)}},4796:function(t,e,r){\"use strict\";var n=r(30962).overrideAll,i=r(92918),a=r(10820),o=r(77922),s=r(85555),l=r(93612),u=r(528),c=r(27659).NG;e.name=\"gl2d\",e.attr=[\"xaxis\",\"yaxis\"],e.idRoot=[\"x\",\"y\"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(89502),e.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:u.hoverlabel},\"plot\",\"nested\"),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=c(r,\"gl2d\",o),u=s._scene2d;void 0===u&&(u=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=u),u.plot(l,t.calcdata,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];if(s._scene2d){var u=c(t,\"gl2d\",o);0===u.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++)e._plots[r[n]]._scene2d.updateFx(e.dragmode)}},92918:function(t,e,r){\"use strict\";var n,i,a=r(73972),o=r(89298),s=r(30211),l=r(9330).gl_plot2d,u=r(9330).gl_spikes2d,c=r(9330).gl_select_box,f=r(40372),h=r(82961),p=r(75071),d=r(58617),v=r(99082),g=v.enforce,y=v.clean,m=r(71739).doAutoRange,x=r(64505),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=r(85555).SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=u(this.glplot),this.selectBox=c(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var u=n[r._name];u.range=s,u.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,u,c=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[c.l+f[0]*c.w,c.b+h[0]*c.h,i-c.r-(1-f[1])*c.w,a-c.t-(1-h[1])*c.h],this.mouseContainer.style.width=c.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=c.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=c.h*(h[1]-h[0]),this.mouseContainer.style.left=c.l+f[0]*c.w+\"px\",this.mouseContainer.style.top=c.t+(1-h[1])*c.h+\"px\",u=0;u<2;++u)(l=this[w[u]])._length=o.viewBox[u+2]-o.viewBox[u],m(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var u=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(u[c]=t.dataBox[c],u[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var v=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),v.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[v.trace.index]||{},y=v.pointIndex,m=s.castHoverinfo(g,i,y);if(m&&\"all\"!==m){var x=m.split(\"+\");-1===x.indexOf(\"x\")&&(v.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(v.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(v.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(v.textLabel=void 0),-1===x.indexOf(\"name\")&&(v.name=void 0)}s.loneHover({x:v.screenCoord[0],y:v.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",v.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",v.traceCoord[1]),zLabel:v.traceCoord[2],text:v.textLabel,name:v.name,color:s.castHoverOption(g,y,\"bgcolor\")||v.color,borderColor:s.castHoverOption(g,y,\"bordercolor\"),fontFamily:s.castHoverOption(g,y,\"font.family\"),fontSize:s.castHoverOption(g,y,\"font.size\"),fontColor:s.castHoverOption(g,y,\"font.color\"),nameLength:s.castHoverOption(g,y,\"namelength\"),textAlign:s.castHoverOption(g,y,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},58547:function(t,e,r){\"use strict\";var n=r(30962).overrideAll,i=r(528),a=r(33539),o=r(27659).NG,s=r(71828),l=r(77922),u=\"gl3d\",c=\"scene\";e.name=u,e.attr=c,e.idRoot=c,e.idRegex=e.attrRegex=s.counterRegex(\"scene\"),e.attributes=r(59084),e.layoutAttributes=r(65500),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),e.supplyLayoutDefaults=r(24682),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,u,s),c=e[s],f=c.camera,h=c._scene;h||(h=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:f},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:f.up.x,y:f.up.y,z:f.up.z},eye:{x:f.eye.x,y:f.eye.y,z:f.eye.z},center:{x:f.center.x,y:f.center.y,z:f.center.z}}),h.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,u=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":u,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),c+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},59084:function(t){\"use strict\";t.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},77894:function(t,e,r){\"use strict\";var n=r(7901),i=r(13838),a=r(1426).extendFlat,o=r(30962).overrideAll;t.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.minor.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},3277:function(t,e,r){\"use strict\";var n=r(84267).mix,i=r(71828),a=r(44467),o=r(77894),s=r(951),l=r(71453),u=[\"xaxis\",\"yaxis\",\"zaxis\"];t.exports=function(t,e,r){var c,f;function h(t,e){return i.coerce(c,f,o,t,e)}for(var p=0;p<u.length;p++){var d=u[p];c=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(c,f,h,r),l(c,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,72.72727272727273).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},30422:function(t,e,r){\"use strict\";var n=r(78614),i=r(71828),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=this,o=0;o<3;++o){var s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,\"font\"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size)),\"showline\"in s&&(r.lineEnable[o]=s.showline),\"linecolor\"in s&&(r.lineColor[o]=n(s.linecolor)),\"linewidth\"in s&&(r.lineWidth[o]=s.linewidth),\"showgrid\"in s&&(r.gridEnable[o]=s.showgrid),\"gridcolor\"in s&&(r.gridColor[o]=n(s.gridcolor)),\"gridwidth\"in s&&(r.gridWidth[o]=s.gridwidth),\"log\"===s.type?r.zeroEnable[o]=!1:\"zeroline\"in s&&(r.zeroEnable[o]=s.zeroline),\"zerolinecolor\"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),\"zerolinewidth\"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),\"ticks\"in s&&s.ticks?r.lineTickEnable[o]=!0:r.lineTickEnable[o]=!1,\"ticklen\"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),\"tickcolor\"in s&&(r.lineTickColor[o]=n(s.tickcolor)),\"tickwidth\"in s&&(r.lineTickWidth[o]=s.tickwidth),\"tickangle\"in s&&(r.tickAngle[o]=\"auto\"===s.tickangle?-3600:Math.PI*-s.tickangle/180),\"showticklabels\"in s&&(r.tickEnable[o]=s.showticklabels),\"tickfont\"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size)),\"mirror\"in s?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(s.mirror)?(r.lineTickMirror[o]=!0,r.lineMirror[o]=!0):!0===s.mirror?(r.lineTickMirror[o]=!1,r.lineMirror[o]=!0):(r.lineTickMirror[o]=!1,r.lineMirror[o]=!1):r.lineMirror[o]=!1,\"showbackground\"in s&&!1!==s.showbackground?(r.backgroundEnable[o]=!0,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=!1):(r.tickEnable[o]=!1,r.labelEnable[o]=!1,r.lineEnable[o]=!1,r.lineTickEnable[o]=!1,r.gridEnable[o]=!1,r.zeroEnable[o]=!1,r.backgroundEnable[o]=!1)}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r}},24682:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(73972),o=r(49119),s=r(3277),l=r(65500),u=r(27659).NG,c=\"gl3d\";function f(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),f=[\"up\",\"center\",\"eye\"],h=0;h<f.length;h++)r(\"camera.\"+f[h]+\".x\"),r(\"camera.\"+f[h]+\".y\"),r(\"camera.\"+f[h]+\".z\");r(\"camera.projection.type\");var p=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),d=r(\"aspectmode\",p?\"manual\":\"auto\");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var v=u(n.fullData,c,n.id);s(t,e,{font:n.font,scene:n.id,data:v,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var y=t.camera.up.x,m=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&m&&x?x/Math.sqrt(y*y+m*m+x*x)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:c,attributes:l,handleDefaults:f,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},65500:function(t,e,r){\"use strict\";var n=r(77894),i=r(27670).Y,a=r(1426).extendFlat,o=r(71828).counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}t.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},13133:function(t,e,r){\"use strict\";var n=r(78614),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},96085:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if(\"auto\"===c.tickmode){c.tickmode=\"linear\";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[u],\"date\"===c.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[u]=p,c.tickmode=f}}for(e.ticks=l,u=0;u<3;++u)for(o[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]),d=0;d<2;++d)e.bounds[d][u]=t.glplot.bounds[d][u];t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=r(89298),i=r(71828),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},63538:function(t){\"use strict\";function e(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))}},33539:function(t,e,r){\"use strict\";var n,i,a=r(9330).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(40372),u=r(38520),c=r(73972),f=r(71828),h=f.preserveDrawingBuffer(),p=r(89298),d=r(30211),v=r(78614),g=r(58617),y=r(63538),m=r(30422),x=r(13133),b=r(96085);function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=c.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=c.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");e.gl=i,e.canvas=n}return e};var T=!0;w.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!T||h)r=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){h=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return T=!1,r},w.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r=\"orthographic\"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!u&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v<u.length;++v)\"skip\"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(h)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==c){var m=y(e.glplot.cameraParams,h.dataCoordinate);t=c.data;var x,_=r._fullData[t.index],w=h.index,T={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},k=d.castHoverinfo(_,e.fullLayout,w),A=(k||\"\").split(\"+\"),M=k&&\"all\"===k;_.hovertemplate||M||(-1===A.indexOf(\"x\")&&(T.xLabel=void 0),-1===A.indexOf(\"y\")&&(T.yLabel=void 0),-1===A.indexOf(\"z\")&&(T.zLabel=void 0),-1===A.indexOf(\"text\")&&(h.textLabel=void 0),-1===A.indexOf(\"name\")&&(c.name=void 0));var S=[];\"cone\"===t.type||\"streamtube\"===t.type?(T.uLabel=g(\"x\",h.traceCoordinate[3],t.uhoverformat),(M||-1!==A.indexOf(\"u\"))&&S.push(\"u: \"+T.uLabel),T.vLabel=g(\"y\",h.traceCoordinate[4],t.vhoverformat),(M||-1!==A.indexOf(\"v\"))&&S.push(\"v: \"+T.vLabel),T.wLabel=g(\"z\",h.traceCoordinate[5],t.whoverformat),(M||-1!==A.indexOf(\"w\"))&&S.push(\"w: \"+T.wLabel),T.normLabel=h.traceCoordinate[6].toPrecision(3),(M||-1!==A.indexOf(\"norm\"))&&S.push(\"norm: \"+T.normLabel),\"streamtube\"===t.type&&(T.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(M||-1!==A.indexOf(\"divergence\"))&&S.push(\"divergence: \"+T.divergenceLabel)),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push(\"value: \"+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):x=h.textLabel;var E={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:w};d.appendArrayPointValue(E,_,w),t._module.eventData&&(E=_._module.eventData(E,h,_,{},w));var L={points:[E]};if(e.fullSceneLayout.hovermode){var C=[];d.loneHover({trace:_,x:(.5+.5*m[0]/m[3])*s,y:(.5-.5*m[1]/m[3])*l,xLabel:T.xLabel,yLabel:T.yLabel,zLabel:T.zLabel,text:x,name:c.name,color:d.castHoverOption(_,w,\"bgcolor\")||c.color,borderColor:d.castHoverOption(_,w,\"bordercolor\"),fontFamily:d.castHoverOption(_,w,\"font.family\"),fontSize:d.castHoverOption(_,w,\"font.size\"),fontColor:d.castHoverOption(_,w,\"font.color\"),nameLength:d.castHoverOption(_,w,\"namelength\"),textAlign:d.castHoverOption(_,w,\"align\"),hovertemplate:f.castOption(_,w,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},E,T),eventData:[E]},{container:n,gd:r,inOut_bbox:C}),E.bbox=C[0]}h.buttons&&h.distance<5?r.emit(\"plotly_click\",L):r.emit(\"plotly_hover\",L),this.oldEventData=L}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. 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e,r,s=this,u=s.isSmith,c=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,v=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,O=E.clampTiny,I=E.findXYatLength,D=E.findEnclosingVertexAngles,z=S.cornerHalfWidth,R=S.cornerLen/2,F=g.makeDragger(f,\"path\",\"maindrag\",!1===t.dragmode?\"none\":\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){m.hover(c,t,s.id),c._fullLayout._lasthover=F,c._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){c._dragging||y.unhover(c,t)};var B,N,j,U,V,H,q,G,Z,Y={element:F,gd:c,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function W(t,e){return Math.sqrt(t*t+e*e)}function X(t,e){return W(t-A,e-M)}function J(t,e){return Math.atan2(M-e,t-A)}function K(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function $(t,e){if(0===t)return s.pathSector(2*z);var 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I,D,z,B=g.makeRectDragger(c,T,\"crosshair\",-x,-x,m,m),N={element:B,gd:u};!1===t.dragmode&&(N.dragmode=!1),V(n.select(B),v.visible&&h<f,{transform:l(b,_)}),N.prepFn=function(){I=null,D=null,z=null,N.moveFn=j,N.doneFn=H,w(u)},N.clampFn=function(t,e){return Math.sqrt(t*t+e*e)<S.MINDRAG&&(t=0,e=0),[t,e]},y.init(N)}function j(t,e){if(I)I(t,e);else{var n=[t,-e],a=[Math.cos(M),Math.sin(M)],s=Math.abs(o.dot(n,a)/Math.sqrt(o.dot(n,n)));isNaN(s)||(I=s<.5?q:G)}var l={};!function(t){null!==D?t[i.id+\".radialaxis.angle\"]=D:null!==z&&(t[i.id+\".radialaxis.range[\"+r+\"]\"]=z)}(l),u.emit(\"plotly_relayouting\",l)}function H(){null!==D?a.call(\"_guiRelayout\",u,i.id+\".radialaxis.angle\",D):null!==z&&a.call(\"_guiRelayout\",u,i.id+\".radialaxis.range[\"+r+\"]\",z)}function q(t,e){if(0!==r){var n=b+t,a=_+e;D=Math.atan2(d-a,n-p),i.vangles&&(D=U(D,i.vangles)),D=F(D);var o=l(p,d)+s(-D);c[\"radial-axis\"].attr(\"transform\",o),c[\"radial-line\"].select(\"line\").attr(\"transform\",o);var 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B=C.font,N=d.getBarColor(n[i],O),j=d.getInsideTextFont(O,i,B,N),U=d.getOutsideTextFont(O,i,B),V=r.datum();I?\"log\"===T.type&&V.s0<=0&&(s=T.range[0]<T.range[1]?0:T._length):\"log\"===M.type&&V.s0<=0&&(f=M.range[0]<M.range[1]?M._length:0);var H,q,G,Z,Y,W=Math.abs(u-s)-2*_,X=Math.abs(p-f)-2*_;if(\"outside\"===w&&(F||R.hasB||(w=\"inside\")),\"auto\"===w&&(F?(w=\"inside\",H=P(r,D,Y=a.ensureUniformFontSize(t,j)),G=(q=l.bBox(H.node())).width,Z=q.height,G>0&&Z>0&&(G<=W&&Z<=X||G<=X&&Z<=W||(I?W>=G*(X/Z):X>=Z*(W/G)))?w=\"inside\":(w=\"outside\",H.remove(),H=null)):w=\"inside\"),!H){var J=(H=P(r,D,Y=a.ensureUniformFontSize(t,\"outside\"===w?U:j))).attr(\"transform\");if(H.attr(\"transform\",\"\"),G=(q=l.bBox(H.node())).width,Z=q.height,H.attr(\"transform\",J),G<=0||Z<=0)return void H.remove()}var K,$=O.textangle;K=\"outside\"===w?function(t,e,r,n,i,a){var o,s=!!a.isHorizontal,l=!!a.constrained,u=a.angle||0,c=i.width,f=i.height,h=Math.abs(e-t),p=Math.abs(n-r);o=s?p>2*_?_:0:h>2*_?_:0;var d=1;l&&(d=s?Math.min(1,p/f):Math.min(1,h/c));var v=S(u),g=E(i,v),y=(s?g.x:g.y)/2,m=(i.left+i.right)/2,x=(i.top+i.bottom)/2,b=(t+e)/2,w=(r+n)/2,T=0,A=0,M=s?k(e,t):k(r,n);return s?(b=e-M*o,T=M*y):(w=n+M*o,A=-M*y),{textX:m,textY:x,targetX:b,targetY:w,anchorX:T,anchorY:A,scale:d,rotate:v}}(s,u,f,p,q,{isHorizontal:I,constrained:\"both\"===O.constraintext||\"outside\"===O.constraintext,angle:$}):L(s,u,f,p,q,{isHorizontal:I,constrained:\"both\"===O.constraintext||\"inside\"===O.constraintext,angle:$,anchor:O.insidetextanchor}),K.fontSize=Y.size,h(\"histogram\"===O.type?\"bar\":O.type,K,C),R.transform=K;var Q=A(H,C,g,y);a.setTransormAndDisplay(Q,K)}else r.select(\"text\").remove()}(t,e,O,r,p,B,N,j,U,g,y),e.layerClipId&&l.hideOutsideRangePoint(u,O.select(\"text\"),w,C,f.xcalendar,f.ycalendar)}));var j=!1===f.cliponaxis;l.setClipUrl(u,j?null:e.layerClipId,t)}));u.getComponentMethod(\"errorbars\",\"plot\")(t,O,e,g)},toMoveInsideBar:L}},81974:function(t){\"use strict\";function e(t,e,r,n,i){var a=e.c2p(n?t.s0:t.p0,!0),o=e.c2p(n?t.s1:t.p1,!0),s=r.c2p(n?t.p0:t.s0,!0),l=r.c2p(n?t.p1:t.s1,!0);return i?[(a+o)/2,(s+l)/2]:n?[o,(s+l)/2]:[(a+o)/2,l]}t.exports=function(t,r){var n,i=t.cd,a=t.xaxis,o=t.yaxis,s=i[0].trace,l=\"funnel\"===s.type,u=\"h\"===s.orientation,c=[];if(!1===r)for(n=0;n<i.length;n++)i[n].selected=0;else for(n=0;n<i.length;n++){var f=i[n],h=\"ct\"in f?f.ct:e(f,a,o,u,l);r.contains(h,!1,n,t)?(c.push({pointNumber:n,x:a.c2d(f.x),y:o.c2d(f.y)}),f.selected=1):f.selected=0}return c}},61546:function(t,e,r){\"use strict\";t.exports=i;var n=r(71828).distinctVals;function i(t,e){this.traces=t,this.sepNegVal=e.sepNegVal,this.overlapNoMerge=e.overlapNoMerge;for(var r=1/0,i=e.posAxis._id.charAt(0),a=[],o=0;o<t.length;o++){for(var s=t[o],l=0;l<s.length;l++){var u=s[l],c=u.p;void 0===c&&(c=u[i]),void 0!==c&&a.push(c)}s[0]&&s[0].width1&&(r=Math.min(s[0].width1,r))}this.positions=a;var f=n(a);this.distinctPositions=f.vals,1===f.vals.length&&r!==1/0?this.minDiff=r:this.minDiff=Math.min(f.minDiff,r);var h=(e.posAxis||{}).type;\"category\"!==h&&\"multicategory\"!==h||(this.minDiff=1),this.binWidth=this.minDiff,this.bins={}}i.prototype.put=function(t,e){var r=this.getLabel(t,e),n=this.bins[r]||0;return this.bins[r]=n+e,n},i.prototype.get=function(t,e){var r=this.getLabel(t,e);return this.bins[r]||0},i.prototype.getLabel=function(t,e){return(e<0&&this.sepNegVal?\"v\":\"^\")+(this.overlapNoMerge?t:Math.round(t/this.binWidth))}},16688:function(t,e,r){\"use strict\";var n=r(39898),i=r(7901),a=r(91424),o=r(71828),s=r(73972),l=r(72597).resizeText,u=r(1486),c=u.textfont,f=u.insidetextfont,h=u.outsidetextfont,p=r(69383);function d(t,e,r){a.pointStyle(t.selectAll(\"path\"),e,r),v(t,e,r)}function v(t,e,r){t.selectAll(\"text\").each((function(t){var i=n.select(this),s=o.ensureUniformFontSize(r,g(i,t,e,r));a.font(i,s)}))}function g(t,e,r,n){var 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r=e.size(),i=t._fullLayout;e.style(\"opacity\",(function(t){return t[0].trace.opacity})).each((function(t){(\"stack\"===i.barmode&&r>1||0===i.bargap&&0===i.bargroupgap&&!t[0].trace.marker.line.width)&&n.select(this).attr(\"shape-rendering\",\"crispEdges\")})),e.selectAll(\"g.points\").each((function(e){d(n.select(this),e[0].trace,t)})),s.getComponentMethod(\"errorbars\",\"style\")(e)},styleTextPoints:v,styleOnSelect:function(t,e,r){var i=e[0].trace;i.selectedpoints?function(t,e,r){a.selectedPointStyle(t.selectAll(\"path\"),e),function(t,e,r){t.each((function(t){var i,s=n.select(this);if(t.selected){i=o.ensureUniformFontSize(r,g(s,t,e,r));var l=e.selected.textfont&&e.selected.textfont.color;l&&(i.color=l),a.font(s,i)}else a.selectedTextStyle(s,e)}))}(t.selectAll(\"text\"),e,r)}(r,i,t):(d(r,i,t),s.getComponentMethod(\"errorbars\",\"style\")(r))},getInsideTextFont:m,getOutsideTextFont:x,getBarColor:_,resizeText:l}},98340:function(t,e,r){\"use strict\";var n=r(7901),i=r(52075).hasColorscale,a=r(1586),o=r(71828).coercePattern;t.exports=function(t,e,r,s,l){var u=r(\"marker.color\",s),c=i(t,\"marker\");c&&a(t,e,l,r,{prefix:\"marker.\",cLetter:\"c\"}),r(\"marker.line.color\",n.defaultLine),i(t,\"marker.line\")&&a(t,e,l,r,{prefix:\"marker.line.\",cLetter:\"c\"}),r(\"marker.line.width\"),r(\"marker.opacity\"),o(r,\"marker.pattern\",u,c),r(\"selected.marker.color\"),r(\"unselected.marker.color\")}},72597:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828);function a(t){return\"_\"+t+\"Text_minsize\"}t.exports={recordMinTextSize:function(t,e,r){if(r.uniformtext.mode){var n=a(t),i=r.uniformtext.minsize,o=e.scale*e.fontSize;e.hide=o<i,r[n]=r[n]||1/0,e.hide||(r[n]=Math.min(r[n],Math.max(o,i)))}},clearMinTextSize:function(t,e){e[a(t)]=void 0},resizeText:function(t,e,r){var a=t._fullLayout,o=a[\"_\"+r+\"Text_minsize\"];if(o){var s,l=\"hide\"===a.uniformtext.mode;switch(r){case\"funnelarea\":case\"pie\":case\"sunburst\":s=\"g.slice\";break;case\"treemap\":case\"icicle\":s=\"g.slice, g.pathbar\";break;default:s=\"g.points > g.point\"}e.selectAll(s).each((function(t){var e=t.transform;if(e){e.scale=l&&e.hide?0:o/e.fontSize;var r=n.select(this).select(\"text\");i.setTransormAndDisplay(r,e)}}))}}}},55023:function(t,e,r){\"use strict\";var n=r(5386).f,i=r(1426).extendFlat,a=r(81245),o=r(1486);t.exports={r:a.r,theta:a.theta,r0:a.r0,dr:a.dr,theta0:a.theta0,dtheta:a.dtheta,thetaunit:a.thetaunit,base:i({},o.base,{}),offset:i({},o.offset,{}),width:i({},o.width,{}),text:i({},o.text,{}),hovertext:i({},o.hovertext,{}),marker:o.marker,hoverinfo:a.hoverinfo,hovertemplate:n(),selected:o.selected,unselected:o.unselected}},74692:function(t,e,r){\"use strict\";var n=r(52075).hasColorscale,i=r(78803),a=r(75341),o=r(11661).setGroupPositions,s=r(66279),l=r(73972).traceIs,u=r(71828).extendFlat;t.exports={calc:function(t,e){for(var r=t._fullLayout,o=e.subplot,l=r[o].radialaxis,u=r[o].angularaxis,c=l.makeCalcdata(e,\"r\"),f=u.makeCalcdata(e,\"theta\"),h=e._length,p=new Array(h),d=c,v=f,g=0;g<h;g++)p[g]={p:v[g],s:d[g]};function y(t){var r=e[t];void 0!==r&&(e[\"_\"+t]=Array.isArray(r)?u.makeCalcdata(e,t):u.d2c(r,e.thetaunit))}return\"linear\"===u.type&&(y(\"width\"),y(\"offset\")),n(e,\"marker\")&&i(t,e,{vals:e.marker.color,containerStr:\"marker\",cLetter:\"c\"}),n(e,\"marker.line\")&&i(t,e,{vals:e.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}),a(p,e),s(p,e),p},crossTraceCalc:function(t,e,r){for(var n=t.calcdata,i=[],a=0;a<n.length;a++){var s=n[a],c=s[0].trace;!0===c.visible&&l(c,\"bar\")&&c.subplot===r&&i.push(s)}var f=u({},e.radialaxis,{_id:\"x\"}),h=e.angularaxis;o(t,h,f,i,{mode:e.barmode,norm:e.barnorm,gap:e.bargap,groupgap:e.bargroupgap})}}},6135:function(t,e,r){\"use strict\";var n=r(71828),i=r(22184).handleRThetaDefaults,a=r(98340),o=r(55023);t.exports=function(t,e,r,s){function l(r,i){return n.coerce(t,e,o,r,i)}i(t,e,s,l)?(l(\"thetaunit\"),l(\"base\"),l(\"offset\"),l(\"width\"),l(\"text\"),l(\"hovertext\"),l(\"hovertemplate\"),a(t,e,l,r,s),n.coerceSelectionMarkerOpacity(e,l)):e.visible=!1}},27379:function(t,e,r){\"use strict\";var n=r(30211),i=r(71828),a=r(95423).getTraceColor,o=i.fillText,s=r(59150).makeHoverPointText,l=r(10869).isPtInsidePolygon;t.exports=function(t,e,r){var u=t.cd,c=u[0].trace,f=t.subplot,h=f.radialAxis,p=f.angularAxis,d=f.vangles,v=d?l:i.isPtInsideSector,g=t.maxHoverDistance,y=p._period||2*Math.PI,m=Math.abs(h.g2p(Math.sqrt(e*e+r*r))),x=Math.atan2(r,e);if(h.range[0]>h.range[1]&&(x+=Math.PI),n.getClosest(u,(function(t){return v(m,x,[t.rp0,t.rp1],[t.thetag0,t.thetag1],d)?g+Math.min(1,Math.abs(t.thetag1-t.thetag0)/y)-1+(t.rp1-m)/(t.rp1-t.rp0)-1:1/0}),t),!1!==t.index){var b=u[t.index];t.x0=t.x1=b.ct[0],t.y0=t.y1=b.ct[1];var _=i.extendFlat({},b,{r:b.s,theta:b.p});return o(b,c,t),s(_,c,f,t),t.hovertemplate=c.hovertemplate,t.color=a(c,b),t.xLabelVal=t.yLabelVal=void 0,b.s<0&&(t.idealAlign=\"left\"),[t]}}},23381:function(t,e,r){\"use strict\";t.exports={moduleType:\"trace\",name:\"barpolar\",basePlotModule:r(23580),categories:[\"polar\",\"bar\",\"showLegend\"],attributes:r(55023),layoutAttributes:r(40151),supplyDefaults:r(6135),supplyLayoutDefaults:r(19860),calc:r(74692).calc,crossTraceCalc:r(74692).crossTraceCalc,plot:r(60173),colorbar:r(4898),formatLabels:r(98608),style:r(16688).style,styleOnSelect:r(16688).styleOnSelect,hoverPoints:r(27379),selectPoints:r(81974),meta:{}}},40151:function(t){\"use strict\";t.exports={barmode:{valType:\"enumerated\",values:[\"stack\",\"overlay\"],dflt:\"stack\",editType:\"calc\"},bargap:{valType:\"number\",dflt:.1,min:0,max:1,editType:\"calc\"}}},19860:function(t,e,r){\"use strict\";var n=r(71828),i=r(40151);t.exports=function(t,e,r){var a,o={};function s(r,o){return n.coerce(t[a]||{},e[a],i,r,o)}for(var l=0;l<r.length;l++){var u=r[l];\"barpolar\"===u.type&&!0===u.visible&&(o[a=u.subplot]||(s(\"barmode\"),s(\"bargap\"),o[a]=1))}}},60173:function(t,e,r){\"use strict\";var n=r(39898),i=r(92770),a=r(71828),o=r(91424),s=r(10869);t.exports=function(t,e,r){var l=e.xaxis,u=e.yaxis,c=e.radialAxis,f=e.angularAxis,h=function(t){var e=t.cxx,r=t.cyy;return t.vangles?function(n,i,o,l){var u,c;a.angleDelta(o,l)>0?(u=o,c=l):(u=l,c=o);var f=[s.findEnclosingVertexAngles(u,t.vangles)[0],(u+c)/2,s.findEnclosingVertexAngles(c,t.vangles)[1]];return s.pathPolygonAnnulus(n,i,u,c,f,e,r)}:function(t,n,i,o){return a.pathAnnulus(t,n,i,o,e,r)}}(e),p=e.layers.frontplot.select(\"g.barlayer\");a.makeTraceGroups(p,r,\"trace bars\").each((function(){var r=n.select(this),s=a.ensureSingle(r,\"g\",\"points\").selectAll(\"g.point\").data(a.identity);s.enter().append(\"g\").style(\"vector-effect\",\"non-scaling-stroke\").style(\"stroke-miterlimit\",2).classed(\"point\",!0),s.exit().remove(),s.each((function(t){var e,r=n.select(this),o=t.rp0=c.c2p(t.s0),s=t.rp1=c.c2p(t.s1),p=t.thetag0=f.c2g(t.p0),d=t.thetag1=f.c2g(t.p1);if(i(o)&&i(s)&&i(p)&&i(d)&&o!==s&&p!==d){var v=c.c2g(t.s1),g=(p+d)/2;t.ct=[l.c2p(v*Math.cos(g)),u.c2p(v*Math.sin(g))],e=h(o,s,p,d)}else e=\"M0,0Z\";a.ensureSingle(r,\"path\").attr(\"d\",e)})),o.setClipUrl(r,e._hasClipOnAxisFalse?e.clipIds.forTraces:null,t)}))}},53522:function(t,e,r){\"use strict\";var 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p=r(\"q1\"),d=r(\"median\"),v=r(\"q3\");e._hasPreCompStats=p&&p.length&&d&&d.length&&v&&v.length,c=Math.min(n.minRowLength(p),n.minRowLength(d),n.minRowLength(v))}var g,y,m=o(f),x=o(h),b=m&&n.minRowLength(f),_=x&&n.minRowLength(h),w=a.calendar,T={autotypenumbers:a.autotypenumbers};if(e._hasPreCompStats)switch(String(x)+String(m)){case\"00\":var k=s(\"x0\")||s(\"dx\");g=!s(\"y0\")&&!s(\"dy\")||k?\"v\":\"h\",y=c;break;case\"10\":g=\"v\",y=Math.min(c,_);break;case\"20\":g=\"h\",y=Math.min(c,h.length);break;case\"01\":g=\"h\",y=Math.min(c,b);break;case\"02\":g=\"v\",y=Math.min(c,f.length);break;case\"12\":g=\"v\",y=Math.min(c,_,f.length);break;case\"21\":g=\"h\",y=Math.min(c,h.length,b);break;case\"11\":y=0;break;case\"22\":var A,M=!1;for(A=0;A<h.length;A++)if(\"category\"===l(h[A],w,T)){M=!0;break}if(M)g=\"v\",y=Math.min(c,_,f.length);else{for(A=0;A<f.length;A++)if(\"category\"===l(f[A],w,T)){M=!0;break}M?(g=\"h\",y=Math.min(c,h.length,b)):(g=\"v\",y=Math.min(c,_,f.length))}}else 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c=r(a+\"points\",l);c?(r(\"jitter\",\"all\"===c?.3:0),r(\"pointpos\",\"all\"===c?-1.5:0),r(\"marker.symbol\"),r(\"marker.opacity\"),r(\"marker.size\"),r(\"marker.angle\"),r(\"marker.color\",e.line.color),r(\"marker.line.color\"),r(\"marker.line.width\"),\"suspectedoutliers\"===c&&(r(\"marker.line.outliercolor\",e.marker.color),r(\"marker.line.outlierwidth\")),r(\"selected.marker.color\"),r(\"unselected.marker.color\"),r(\"selected.marker.size\"),r(\"unselected.marker.size\"),r(\"text\"),r(\"hovertext\")):delete e.marker;var f=r(\"hoveron\");\"all\"!==f&&-1===f.indexOf(\"points\")||r(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,r)}t.exports={supplyDefaults:function(t,e,r,i){function s(r,i){return n.coerce(t,e,u,r,i)}if(c(t,e,s,i),!1!==e.visible){o(t,e,i,s),s(\"xhoverformat\"),s(\"yhoverformat\");var l=e._hasPreCompStats;l&&(s(\"lowerfence\"),s(\"upperfence\")),s(\"line.color\",(t.marker||{}).color||r),s(\"line.width\"),s(\"fillcolor\",a.addOpacity(e.line.color,.5));var h=!1;if(l){var p=s(\"mean\"),d=s(\"sd\");p&&p.length&&(h=!0,d&&d.length&&(h=\"sd\"))}s(\"boxmean\",h),s(\"whiskerwidth\"),s(\"width\"),s(\"quartilemethod\");var v=!1;if(l){var g=s(\"notchspan\");g&&g.length&&(v=!0)}else n.validate(t.notchwidth,u.notchwidth)&&(v=!0);s(\"notched\",v)&&s(\"notchwidth\"),f(t,e,s,{prefix:\"box\"})}},crossTraceDefaults:function(t,e){var r,i;function a(t){return n.coerce(i._input,i,u,t)}for(var o=0;o<t.length;o++){var l=(i=t[o]).type;\"box\"!==l&&\"violin\"!==l||(r=i._input,\"group\"===e[l+\"mode\"]&&s(r,i,e,a))}},handleSampleDefaults:c,handlePointsDefaults:f}},74907:function(t){\"use strict\";t.exports=function(t,e){return e.hoverOnBox&&(t.hoverOnBox=e.hoverOnBox),\"xVal\"in e&&(t.x=e.xVal),\"yVal\"in e&&(t.y=e.yVal),e.xa&&(t.xaxis=e.xa),e.ya&&(t.yaxis=e.ya),t}},41868:function(t,e,r){\"use strict\";var n=r(89298),i=r(71828),a=r(30211),o=r(7901),s=i.fillText;function l(t,e,r,s){var 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o=a+\"Layout\",s=!1,l=0;l<r.length;l++){var u=r[l];if(n.traceIs(u,o)){s=!0;break}}s&&(i(a+\"mode\"),i(a+\"gap\"),i(a+\"groupgap\"))}t.exports={supplyLayoutDefaults:function(t,e,r){o(0,0,r,(function(r,n){return i.coerce(t,e,a,r,n)}),\"box\")},_supply:o}},86047:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828),a=r(91424);function o(t,e,r,a){var o,s,l=\"h\"===r.orientation,u=e.val,c=e.pos,f=!!c.rangebreaks,h=a.bPos,p=a.wdPos||0,d=a.bPosPxOffset||0,v=r.whiskerwidth||0,g=r.notched||!1,y=g?1-2*r.notchwidth:1;Array.isArray(a.bdPos)?(o=a.bdPos[0],s=a.bdPos[1]):(o=a.bdPos,s=a.bdPos);var m=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?i.identity:[]);m.enter().append(\"path\").style(\"vector-effect\",\"non-scaling-stroke\").attr(\"class\",\"box\"),m.exit().remove(),m.each((function(t){if(t.empty)return\"M0,0Z\";var e=c.c2l(t.pos+h,!0),a=c.l2p(e-o)+d,m=c.l2p(e+s)+d,x=f?(a+m)/2:c.l2p(e)+d,b=r.whiskerwidth,_=f?a*b+(1-b)*x:c.l2p(e-p)+d,w=f?m*b+(1-b)*x:c.l2p(e+p)+d,T=c.l2p(e-o*y)+d,k=c.l2p(e+s*y)+d,A=u.c2p(t.q1,!0),M=u.c2p(t.q3,!0),S=i.constrain(u.c2p(t.med,!0),Math.min(A,M)+1,Math.max(A,M)-1),E=void 0===t.lf||!1===r.boxpoints,L=u.c2p(E?t.min:t.lf,!0),C=u.c2p(E?t.max:t.uf,!0),P=u.c2p(t.ln,!0),O=u.c2p(t.un,!0);l?n.select(this).attr(\"d\",\"M\"+S+\",\"+T+\"V\"+k+\"M\"+A+\",\"+a+\"V\"+m+(g?\"H\"+P+\"L\"+S+\",\"+k+\"L\"+O+\",\"+m:\"\")+\"H\"+M+\"V\"+a+(g?\"H\"+O+\"L\"+S+\",\"+T+\"L\"+P+\",\"+a:\"\")+\"ZM\"+A+\",\"+x+\"H\"+L+\"M\"+M+\",\"+x+\"H\"+C+(0===v?\"\":\"M\"+L+\",\"+_+\"V\"+w+\"M\"+C+\",\"+_+\"V\"+w)):n.select(this).attr(\"d\",\"M\"+T+\",\"+S+\"H\"+k+\"M\"+a+\",\"+A+\"H\"+m+(g?\"V\"+P+\"L\"+k+\",\"+S+\"L\"+m+\",\"+O:\"\")+\"V\"+M+\"H\"+a+(g?\"V\"+O+\"L\"+T+\",\"+S+\"L\"+a+\",\"+P:\"\")+\"ZM\"+x+\",\"+A+\"V\"+L+\"M\"+x+\",\"+M+\"V\"+C+(0===v?\"\":\"M\"+_+\",\"+L+\"H\"+w+\"M\"+_+\",\"+C+\"H\"+w))}))}function s(t,e,r,n){var o=e.x,s=e.y,l=n.bdPos,u=n.bPos,c=r.boxpoints||r.points;i.seedPseudoRandom();var f=t.selectAll(\"g.points\").data(c?function(t){return t.forEach((function(t){t.t=n,t.trace=r})),t}:[]);f.enter().append(\"g\").attr(\"class\",\"points\"),f.exit().remove();var h=f.selectAll(\"path\").data((function(t){var e,n,a=t.pts2,o=Math.max((t.max-t.min)/10,t.q3-t.q1),s=1e-9*o,f=.01*o,h=[],p=0;if(r.jitter){if(0===o)for(p=1,h=new Array(a.length),e=0;e<a.length;e++)h[e]=1;else for(e=0;e<a.length;e++){var d=Math.max(0,e-5),v=a[d].v,g=Math.min(a.length-1,e+5),y=a[g].v;\"all\"!==c&&(a[e].v<t.lf?y=Math.min(y,t.lf):v=Math.max(v,t.uf));var m=Math.sqrt(f*(g-d)/(y-v+s))||0;m=i.constrain(Math.abs(m),0,1),h.push(m),p=Math.max(m,p)}n=2*r.jitter/(p||1)}for(e=0;e<a.length;e++){var x=a[e],b=x.v,_=r.jitter?n*h[e]*(i.pseudoRandom()-.5):0,w=t.pos+u+l*(r.pointpos+_);\"h\"===r.orientation?(x.y=w,x.x=b):(x.x=w,x.y=b),\"suspectedoutliers\"===c&&b<t.uo&&b>t.lo&&(x.so=!0)}return a}));h.enter().append(\"path\").classed(\"point\",!0),h.exit().remove(),h.call(a.translatePoints,o,s)}function l(t,e,r,a){var 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t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(D),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append(\"text\").attr(\"class\",\"dimlabel\"),M.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",O).on(\"dragend\",I)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){s.raiseToTop(this),w(n.select(this));var e=m(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var i,a,l,u=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),v=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=u&&u<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],y=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+y.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=c.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+v.left,y:_-d.top+v.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function y(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(v),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function m(t){for(var e=[],r=D(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function _(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return c.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,m(t))}))}));var u={};u[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:u})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,m(t))}));var u={};u[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(u.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:u})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),u=l.node().getBoundingClientRect(),c=l.datum(),f=c.parcatsViewModel,h=f.model.dimensions[c.model.dimensionInd],p=f.trace,d=u.top+u.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=u.left,a=\"left\"):(i=u.left+u.width,a=\"right\");var v=c.model.count,g=c.model.categoryLabel,y=v/c.parcatsViewModel.model.count,m={countLabel:v,categoryLabel:g,probabilityLabel:y.toFixed(3)},x=[];-1!==c.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",m.countLabel].join(\" \")),-1!==c.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+m.categoryLabel+\"):\",m.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:m,eventData:[{data:p._input,fullData:p,count:v,category:g,probability:y}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron,u=this;\"color\"===l?(function(t){var e=n.select(t).datum(),r=A(e);w(r),r.each((function(){s.raiseToTop(this)})),n.select(t.parentNode).selectAll(\"rect.bandrect\").filter((function(t){return t.color===e.color})).each((function(){s.raiseToTop(this),n.select(this).attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}))}(u),S(u,\"plotly_hover\",n.event)):(function(t){n.select(t.parentNode).selectAll(\"rect.bandrect\").each((function(t){var e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(u),M(u,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")&&(\"category\"===l?e=E(r,a,u):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),u=n.select(r).datum(),f=u.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,v=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var g=f.model.categoryLabel,y=u.parcatsViewModel.model.count,m=0;u.categoryViewModel.bands.forEach((function(t){t.color===u.color&&(m+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===u.color&&(b+=t.model.count)}));var _=m/y,w=m/b,T=m/x,k={countLabel:y,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color ∩ \"+g+\"): \"+k.probabilityLabel),A.push(\"P(\"+g+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+g+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=c.mostReadable(u.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(v-e.top),text:M,color:u.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:y,probability:_,categorycount:x,colorcount:b,bandcolorcount:m}]}}(r,a,u):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(E(t,e,this))})),i}(r,a,u)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r}))}}function C(t){var e=t.parcatsViewModel;e.dragDimension||(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(v),-1!==e.hoverinfoItems.indexOf(\"skip\"))||(\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event))}function P(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,u=a.categories,c=u[l-1],f=u[l+1];void 0!==c&&s<c.y+c.height/2&&(o.model.displayInd=c.model.displayInd,c.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),z(t.parcatsViewModel)}}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=D(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var u=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),c=u.map((function(t){return t.categoryValue})),f=u.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[c],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd&&(t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null),t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function D(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function z(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),p),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function R(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),p);var i=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),p);r(t.dimensionSelection).attr(\"transform\",(function(t){return l(t.x,0)})),r(i).attr(\"transform\",(function(t){return l(0,t.y)})),i.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(\".catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return d(t)?t.width+5:-5})).each((function(t){var e,r;d(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var a=i.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p),o=a.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);a.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,u=e.height,c=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(u*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var v={trace:o,key:o.uid,model:i,x:h,y:p,width:c,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(v),N(v)),v}function B(t,e,r,n,a){var o,s,l=[],u=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),u.push(o(1-a));var c=\"M \"+t[0]+\",\"+e[0];for(c+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)c+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+u[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],c+=\"l\"+r[s]+\",0 \";for(c+=\"l0,\"+n+\" \",c+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)c+=\"C\"+u[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),c+=\"l-\"+r[s]+\",0 \";return c+\"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})),u=[];for(var c in r.paths)r.paths.hasOwnProperty(c)&&u.push(r.paths[c]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}u.sort((function(e,r){var n=f(e),i=f(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)),n<i?-1:n>i?1:0}));for(var h=new Array(u.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),v=0;v<u.length;v++){var g,y=u[v];g=p>0?d*(y.count/p):0;for(var m,x=new Array(n.length),b=0;b<y.categoryInds.length;b++){var 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n=r(50693),i=r(13838),a=r(41940),o=r(27670).Y,s=r(1426).extendFlat,l=r(44467).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({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\"}}},57920:function(t,e,r){\"use 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s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,c);o(e,l,c),Array.isArray(v)&&v.length||(e.visible=!1),h(e,v,\"values\",g);var y={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(c,\"labelfont\",y),n.coerceFont(c,\"tickfont\",y),n.coerceFont(c,\"rangefont\",y),c(\"labelangle\"),c(\"labelside\"),c(\"unselected.line.color\"),c(\"unselected.line.opacity\")}},1602:function(t,e,r){\"use strict\";var n=r(71828).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)}},67618:function(t,e,r){\"use strict\";var n=r(71791);n.plot=r(21341),t.exports=n},83398:function(t,e,r){\"use strict\";var n=r(56068),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(maskTexture,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=r(25706).maxDimensionCount,s=r(71828),l=new Uint8Array(4),u=new Uint8Array(4),c={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var u=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*u,a.offset=2*l*n,e(a),l*n+u<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function v(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,u=r[64*a+l];63===l&&0===o&&(u*=-1),n[i++]=u}return n}function g(t){var e=\"0\"+t;return e.substr(e.length-2)}function y(t){return t<o?\"p\"+g(t+1)+\"_\"+g(t+4):\"colors\"}function 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e=2047,r=Math.max(0,Math.floor(t[0]*e),0),n=Math.min(e,Math.ceil(t[1]*e),e);return[Math.min(r,n),Math.max(r,n)]}t.exports=function(t,e){var r,n,l,g,b,_=e.context,w=e.pick,T=e.regl,k=T._gl,A=k.getParameter(k.ALIASED_LINE_WIDTH_RANGE),M=Math.max(A[0],Math.min(A[1],e.viewModel.plotGlPixelRatio)),S={currentRafs:{},drawCompleted:!0,clearOnly:!1},E=function(t){for(var e={},r=0;r<=o;r+=4)e[y(r)]=t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return e}(T),L=T.texture(c),C=[];O(e);var P=T({profile:!1,blend:{enable:_,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src 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O(t){r=t.model,n=t.viewModel,l=n.dimensions.slice(),g=l[0]?l[0].values.length:0;var e=r.lines,i=w?e.color.map((function(t,r){return r/e.color.length})):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var l=0;l<o;l++)i[a++]=l<e.length?e[l].paddedUnitValues[s]:.5;i[a++]=d(s,2),i[a++]=d(s,1),i[a++]=d(s,0),i[a++]=(n=r[s],Math.max(1e-6,Math.min(.999999,n)))}return i}(g,l,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[y(n)](v(n/4,e,r))}(E,g,a),_||w||(L=T.texture(s.extendFlat({data:p(r.unitToColor,255)},c)))}return{render:function(t,e,n){var i,a,o,s=t.length,u=1/0,c=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<u&&(u=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>c&&(c=t[i].dim1.canvasX,o=i);0===s&&f(T,0,0,r.canvasWidth,r.canvasHeight);var p=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<l.length?l[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<l.length;e++){var s=e%8,u=(e-s)/8,c=Math.pow(2,s),f=l[e].brush.filter.get();if(!(f.length<2)){var h=x(f[0])[1];for(r=1;r<f.length;r++){var p=x(f[r]);for(n=h+1;n<p[0];n++)o[8*n+u]&=~c;h=Math.max(h,p[1])}}}var d={shape:[8,2048],format:\"alpha\",type:\"uint8\",mag:\"nearest\",min:\"nearest\",data:o};return b?b(d):b=T.texture(d),{maskTexture:b,maskHeight:2048,loA:i[0].slice(0,16),loB:i[0].slice(16,32),loC:i[0].slice(32,48),loD:i[0].slice(48,64),hiA:i[1].slice(0,16),hiB:i[1].slice(16,32),hiC:i[1].slice(32,48),hiD:i[1].slice(48,64)}}(_);for(i=0;i<s;i++){var d=t[i],v=d.dim0.crossfilterDimensionIndex,y=d.dim1.crossfilterDimensionIndex,k=d.canvasX,A=d.canvasY,M=k+d.panelSizeX,E=d.plotGlPixelRatio;if(e||!C[v]||C[v][0]!==k||C[v][1]!==M){C[v]=[k,M];var L=m(r,a,o,i,v,y,k,A,d.panelSizeX,d.panelSizeY,d.dim0.crossfilterDimensionIndex,_?0:w?2:1,p,E);S.clearOnly=n;var O=e?r.lines.blockLineCount:g;h(T,P,S,O,g,L)}}},readPixel:function(t,e){return T.read({x:t,y:e,width:1,height:1,data:u}),u},readPixels:function(t,e,r,n){var i=new Uint8Array(4*r*n);return T.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style[\"pointer-events\"]=\"none\",L.destroy(),b&&b.destroy(),E)E[e].destroy()},update:O}}},94397:function(t){\"use strict\";t.exports=function(t,e,r,n){var i,a;for(n||(n=1/0),i=0;i<e.length;i++)(a=e[i]).visible&&(n=Math.min(n,a[r].length));for(n===1/0&&(n=0),t._length=n,i=0;i<e.length;i++)(a=e[i]).visible&&(a._length=n);return n}},17171:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828),a=i.numberFormat,o=r(36652),s=r(89298),l=i.strRotate,u=i.strTranslate,c=r(63893),f=r(91424),h=r(21081),p=r(28984),d=p.keyFun,v=p.repeat,g=p.unwrap,y=r(1602),m=r(25706),x=r(57920),b=r(83398);function _(t,e,r){return i.aggNums(t,null,e,r)}function w(t,e){return k(_(Math.min,t,e),_(Math.max,t,e))}function T(t){var e=t.range;return e?k(e[0],e[1]):w(t.values,t._length)}function k(t,e){return!isNaN(t)&&isFinite(t)||(t=0),!isNaN(e)&&isFinite(e)||(e=0),t===e&&(0===t?(t-=1,e+=1):(t*=.9,e*=1.1)),[t,e]}function A(t,e,r,i,o){var s,l,u=T(r);return i?n.scale.ordinal().domain(i.map((s=a(r.tickformat),l=o,l?function(t,e){var r=l[e];return null==r?s(t):r}:s))).range(i.map((function(r){var n=(r-u[0])/(u[1]-u[0]);return t-e+n*(2*e-t)}))):n.scale.linear().domain(u).range([t-e,e])}function M(t){if(t.tickvals){var e=T(t);return n.scale.ordinal().domain(t.tickvals).range(t.tickvals.map((function(t){return(t-e[0])/(e[1]-e[0])})))}}function S(t){var e=t.map((function(t){return t[0]})),r=t.map((function(t){var e=o(t[1]);return n.rgb(\"rgb(\"+e[0]+\",\"+e[1]+\",\"+e[2]+\")\")})),i=\"rgb\".split(\"\").map((function(t){return n.scale.linear().clamp(!0).domain(e).range(r.map((i=t,function(t){return t[i]})));var i}));return function(t){return i.map((function(e){return e(t)}))}}function E(t){return t.dimensions.some((function(t){return t.brush.filterSpecified}))}function L(t,e,r){var a=g(e),s=a.trace,l=y.convertTypedArray(a.lineColor),u=s.line,c={color:o(s.unselected.line.color),opacity:s.unselected.line.opacity},f=h.extractOpts(u),p=f.reversescale?h.flipScale(a.cscale):a.cscale,d=s.domain,v=s.dimensions,x=t.width,b=s.labelangle,_=s.labelside,w=s.labelfont,k=s.tickfont,A=s.rangefont,M=i.extendDeepNoArrays({},u,{color:l.map(n.scale.linear().domain(T({values:l,range:[f.min,f.max],_length:s._length}))),blockLineCount:m.blockLineCount,canvasOverdrag:m.overdrag*m.canvasPixelRatio}),E=Math.floor(x*(d.x[1]-d.x[0])),L=Math.floor(t.height*(d.y[1]-d.y[0])),C=t.margin||{l:80,r:80,t:100,b:80},P=E,O=L;return{key:r,colCount:v.filter(y.isVisible).length,dimensions:v,tickDistance:m.tickDistance,unitToColor:S(p),lines:M,deselectedLines:c,labelAngle:b,labelSide:_,labelFont:w,tickFont:k,rangeFont:A,layoutWidth:x,layoutHeight:t.height,domain:d,translateX:d.x[0]*x,translateY:t.height-d.y[1]*t.height,pad:C,canvasWidth:P*m.canvasPixelRatio+2*M.canvasOverdrag,canvasHeight:O*m.canvasPixelRatio,width:P,height:O,canvasPixelRatio:m.canvasPixelRatio}}function 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t.map(n).sort(i.sorterAsc)})).sort((function(t,e){return t[0]-e[0]}));e.filterChanged(p.key,o._index,a)}}))}})),p}function P(t){t.classed(m.cn.axisExtentText,!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"default\")}function O(t,e){var r=\"top\"===e?1:-1,n=t*Math.PI/180;return{dir:r,dx:Math.sin(n),dy:Math.cos(n),degrees:t}}function I(t,e,r){for(var n=e.panels||(e.panels=[]),i=t.data(),a=0;a<i.length-1;a++){var o=n[a]||(n[a]={}),s=i[a],l=i[a+1];o.dim0=s,o.dim1=l,o.canvasX=s.canvasX,o.panelSizeX=l.canvasX-s.canvasX,o.panelSizeY=e.model.canvasHeight,o.y=0,o.canvasY=0,o.plotGlPixelRatio=r}}function D(t,e){return s.tickText(t._ax,e,!1).text}function z(t,e){if(t.ordinal)return\"\";var r=t.domainScale.domain(),n=r[e?r.length-1:0];return D(t.model.dimensions[t.visibleIndex],n)}t.exports=function(t,e,r,a){var o=t._context.staticPlot,h=t._fullLayout,p=h._toppaper,_=h._glcontainer,T=t._context.plotGlPixelRatio,A=t._fullLayout.paper_bgcolor;!function(t){for(var e=0;e<t.length;e++)for(var r=0;r<t[e].length;r++)for(var n=t[e][r].trace,i=n.dimensions,a=0;a<i.length;a++){var o=i[a].values,l=i[a]._ax;l&&(l.range?l.range=k(l.range[0],l.range[1]):l.range=w(o,n._length),l.dtick||(l.dtick=.01*(Math.abs(l.range[1]-l.range[0])||1)),l.tickformat=i[a].tickformat,s.calcTicks(l),l.cleanRange())}}(e);var M,S,R=(M=!0,S=!1,{linePickActive:function(t){return arguments.length?M=!!t:M},contextShown:function(t){return arguments.length?S=!!t:S}}),F=e.filter((function(t){return g(t).trace.visible})).map(L.bind(0,r)).map(C.bind(0,R,a));_.each((function(t,e){return i.extendFlat(t,F[e])}));var B=_.selectAll(\".gl-canvas\").each((function(t){t.viewModel=F[0],t.viewModel.plotGlPixelRatio=T,t.viewModel.paperColor=A,t.model=t.viewModel?t.viewModel.model:null})),N=null;B.filter((function(t){return t.pick})).style(\"pointer-events\",o?\"none\":\"auto\").on(\"mousemove\",(function(t){if(R.linePickActive()&&t.lineLayer&&a&&a.hover){var e=n.event,r=this.width,i=this.height,o=n.mouse(this),s=o[0],l=o[1];if(s<0||l<0||s>=r||l>=i)return;var u=t.lineLayer.readPixel(s,i-1-l),c=0!==u[3],f=c?u[2]+256*(u[1]+256*u[0]):null,h={x:s,y:l,clientX:e.clientX,clientY:e.clientY,dataIndex:t.model.key,curveNumber:f};f!==N&&(c?a.hover(h):a.unhover&&a.unhover(h),N=f)}})),B.style(\"opacity\",(function(t){return t.pick?0:1})),p.style(\"background\",\"rgba(255, 255, 255, 0)\");var j=p.selectAll(\".\"+m.cn.parcoords).data(F,d);j.exit().remove(),j.enter().append(\"g\").classed(m.cn.parcoords,!0).style(\"shape-rendering\",\"crispEdges\").style(\"pointer-events\",\"none\"),j.attr(\"transform\",(function(t){return u(t.model.translateX,t.model.translateY)}));var U=j.selectAll(\".\"+m.cn.parcoordsControlView).data(v,d);U.enter().append(\"g\").classed(m.cn.parcoordsControlView,!0),U.attr(\"transform\",(function(t){return u(t.model.pad.l,t.model.pad.t)}));var V=U.selectAll(\".\"+m.cn.yAxis).data((function(t){return 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n=r(9012),i=r(27670).Y,a=r(41940),o=r(22399),s=r(5386).f,l=r(5386).s,u=r(1426).extendFlat,c=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\"},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:u({},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:u({},c,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:u({},c,{}),outsidetextfont:u({},c,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:u({},c,{}),position:{valType:\"enumerated\",values:[\"top 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n=r(74875);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)}},32354:function(t,e,r){\"use strict\";var n=r(92770),i=r(84267),a=r(7901),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}t.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],u=e.labels,c=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(u=new Array(h),r=0;r<h;r++)u[r]=String(e.label0+r*e.dlabel);var d={},v=s(o[\"_\"+e.type+\"colormap\"]),g=0,y=!1;for(r=0;r<h;r++){var m,x,b;if(p){if(m=f[r],!n(m))continue;m=+m}else m=1;void 0!==(x=u[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=m),a.push({v:m,label:x,color:v(c[r],x),i:r,pts:[r],hidden:b})):(y=!0,(i=a[_]).v+=m,i.pts.push(r),i.hidden||(g+=m),!1===i.color&&c[r]&&(i.color=v(c[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var u=0,c=0;c<i.length;c++){var f=i[c];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[u%a.length],u++))}}},makePullColorFn:s,generateExtendedColors:l}},37434:function(t,e,r){\"use strict\";var n=r(92770),i=r(71828),a=r(34e3),o=r(27670).c,s=r(90769).handleText;function l(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var u=e[l];if(n(u)&&u>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}t.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function u(r,n){return i.coerce(t,e,a,r,n)}var c=l(u(\"labels\"),u(\"values\")),f=c.len;if(e._hasLabels=c.hasLabels,e._hasValues=c.hasValues,!e._hasLabels&&e._hasValues&&(u(\"label0\"),u(\"dlabel\")),f){e._length=f,u(\"marker.line.width\")&&u(\"marker.line.color\"),u(\"marker.colors\"),u(\"scalegroup\");var h,p=u(\"text\"),d=u(\"texttemplate\");if(d||(h=u(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),u(\"hovertext\"),u(\"hovertemplate\"),d||h&&\"none\"!==h){var v=u(\"textposition\");s(t,e,n,u,v,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(v)||\"auto\"===v||\"outside\"===v)&&u(\"automargin\"),(\"inside\"===v||\"auto\"===v||Array.isArray(v))&&u(\"insidetextorientation\")}o(e,n,u);var g=u(\"hole\");if(u(\"title.text\")){var y=u(\"title.position\",g?\"middle center\":\"top center\");g||\"middle center\"!==y||(e.title.position=\"top center\"),i.coerceFont(u,\"title.font\",n.font)}u(\"sort\"),u(\"direction\"),u(\"rotation\"),u(\"pull\")}else e.visible=!1}}},20007:function(t,e,r){\"use strict\";var n=r(23469).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}},53581:function(t,e,r){\"use strict\";var n=r(71828);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(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},e.castOption=function(t,r){return Array.isArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},58810:function(t,e,r){\"use strict\";t.exports={attributes:r(34e3),supplyDefaults:r(37434).supplyDefaults,supplyLayoutDefaults:r(92097),layoutAttributes:r(92774),calc:r(32354).calc,crossTraceCalc:r(32354).crossTraceCalc,plot:r(14575).plot,style:r(68357),styleOne:r(63463),moduleType:\"trace\",name:\"pie\",basePlotModule:r(13584),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},92774:function(t){\"use strict\";t.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},92097:function(t,e,r){\"use strict\";var n=r(71828),i=r(92774);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},14575:function(t,e,r){\"use strict\";var n=r(39898),i=r(74875),a=r(30211),o=r(7901),s=r(91424),l=r(71828),u=l.strScale,c=l.strTranslate,f=r(63893),h=r(72597),p=h.recordMinTextSize,d=h.clearMinTextSize,v=r(97313).TEXTPAD,g=r(53581),y=r(20007),m=r(71828).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,u=i.trace,c=\"funnelarea\"===u.type;\"_hasHoverLabel\"in u||(u._hasHoverLabel=!1),\"_hasHoverEvent\"in u||(u._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[u.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:u._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),v=s+t.pxmid[1]*(1-p),m=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,m),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,m),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:u,x0:d-p*i.r,x1:d+p*i.r,y:v,_x0:c?o+t.TL[0]:d-p*i.r,_x1:c?o+t.TR[0]:d+p*i.r,_y0:c?s+t.TL[1]:v-p*i.r,_y1:c?s+t.BL[1]:v+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[y(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,u=e.midangle,c=r.trace.insidetextorientation,f=\"horizontal\"===c,h=\"tangential\"===c,p=\"radial\"===c,d=\"auto\"===c,v=[];if(!d){var g,y=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),u=s<l?s:l;(a=\"tan\"===i?k(t,n,o,u,0):T(t,n,o,u,Math.PI/2)).textPosAngle=r,v.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)y(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),\"tan\")}if(f||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),\"rad\")}}if(s||d||f){var m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var x=0,b=0,_=0;_<v.length;_++){var w=v[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return v[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*v);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*v);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 L(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 C(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=O(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?c*=2:-1!==a.title.position.indexOf(\"right\")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=P(i,e));var u=s/2,c=l/2;\"funnelarea\"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+O(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var u,c;i.aspectratio>1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function D(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,u=o.split(\"+\"),c=function(t){return-1!==u.indexOf(t)},f=c(\"label\"),h=c(\"text\"),p=c(\"value\"),d=c(\"percent\"),v=n.separators;if(s=f?[e.label]:[],h){var y=g.getFirstFilled(i.text,e.pts);m(y)&&s.push(y)}p&&s.push(g.formatPieValue(e.v,v)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d(\"pie\",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u=\"px0\",c=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,u=\"px1\",c=\"px0\"}for(n=D(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[u]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=D(a,s),r.midangle=s,n=D(a,s+=l*r.v/2),r.stopangle=s,r[c]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var m=n.select(this).selectAll(\"g.slice\").data(e);m.enter().append(\"g\").classed(\"slice\",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A=\"M\"+(u+i.px0[0])+\",\"+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(u+k*i.px0[0])+\",\"+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(u+k*i.px1[0])+\",\"+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+u+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}z(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if(\"outside\"===E)d=L(m,i);else if(d=w(m,i,v),\"auto\"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:D(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*v.r+\",\"+n*v.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var k=n.select(this).selectAll(\"g.titletext\").data(y.title.text?[0]:[]);if(k.enter().append(\"g\").classed(\"titletext\",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,y.title.font).call(f.convertToTspans,t),e=\"middle center\"===y.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(v):C(v,h),r.attr(\"transform\",c(e.x,e.y)+u(Math.min(1,e.scale))+c(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,l,u,c,f,h,p,d;function v(t,e){return t.pxmid[1]-e.pxmid[1]}function y(t,e){return e.pxmid[1]-t.pxmid[1]}function m(t,r){r||(r={});var 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g=m(v),y={valueLabel:a(i.valueFormat)(v.value)+i.valueSuffix};u.push({x:g[0],y:g[1],name:y.valueLabel,text:[v.label||\"\",w+v.source.label,T+v.target.label,v.concentrationscale?k+a(\"%0.2f\")(v.flow.labelConcentration):\"\"].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||l.addOpacity(v.color,1),borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:n.event.x<g[0]?\"right\":\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:y,eventData:[v]})}}s.loneHover(u,{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t,anchorIndex:c}).each((function(){i.link.concentrationscale||p(this,.65),d(this)}))}}function m(t){var e,r;t.circular?(e=(t.circularPathData.leftInnerExtent+t.circularPathData.rightInnerExtent)/2,r=t.circularPathData.verticalFullExtent):(e=(t.source.x1+t.target.x0)/2,r=(t.y0+t.y1)/2);var 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l=n.select(e).select(\".\"+u.nodeRect),c=t._fullLayout._paperdiv.node().getBoundingClientRect(),h=l.node().getBoundingClientRect(),v=h.left-2-c.left,g=h.right+2-c.left,y=h.top+h.height/4-c.top,m={valueLabel:a(i.valueFormat)(i.node.value)+i.valueSuffix};i.node.fullData=i.node.trace,t._fullLayout._calcInverseTransform(t);var x=t._fullLayout._invScaleX,b=t._fullLayout._invScaleY,w=s.loneHover({x0:x*v,x1:x*g,y:b*y,name:a(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,A+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||i.tinyColorHue,borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:m,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});p(w,.85),d(w)}}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(m,i,a),\"skip\"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.node]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(m,r,i),s.click(t,{target:!0})}}})}},3393:function(t,e,r){\"use strict\";var n=r(49887),i=r(29502).k4,a=r(39898),o=r(30838),s=r(86781),l=r(85247),u=r(84267),c=r(7901),f=r(91424),h=r(71828),p=h.strTranslate,d=h.strRotate,v=r(28984),g=v.keyFun,y=v.repeat,m=v.unwrap,x=r(63893),b=r(73972),_=r(18783),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=m(e),a=i.trace,c=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,v=t.width*(c.x[1]-c.x[0]),g=t.height*(c.y[1]-c.y[0]),y=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[v,g]:[g,v]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(y).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn(\"node.pad was reduced to \",n.nodePadding(),\" to fit within the figure.\"),i._groupLookup){var 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c=0;for(w=0;w<r.targetLinks.length;w++)c+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/c}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*v,a.node.y[_]*g];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}\"snap\"===a.arrangement&&function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(y=k.nodes).forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p})),n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:v,height:g,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,linkArrowLength:a.link.arrowlen,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:c.x[0]*t.width+t.margin.l,translateY:t.height-c.y[1]*t.height+t.margin.t,dragParallel:f?g:v,dragPerpendicular:f?v:g,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function A(t,e,r){var n=u(e.color),i=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:c.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return\"top\"===t.circularLinkType?\"M \"+(n.targetX-e)+\" \"+(n.targetY+r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" 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e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:c.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function 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n=r(82196),i=r(9012),a=r(5386).f,o=r(5386).s,s=r(50693),l=r(1426).extendFlat,u=n.marker,c=n.line,f=u.line;t.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:c.color,width:c.width,dash:c.dash,backoff:c.backoff,shape:l({},c.shape,{values:[\"linear\",\"spline\"]}),smoothing:c.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:u.symbol,opacity:u.opacity,maxdisplayed:u.maxdisplayed,angle:u.angle,angleref:u.angleref,standoff:u.standoff,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,line:l({width:f.width,editType:\"calc\"},s(\"marker.line\")),gradient:u.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},i.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:a()}},34618:function(t,e,r){\"use 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r,n,i=e._length,o=e.marker,l={},u=s.isArrayOrTypedArray(o.symbol),f=s.isArrayOrTypedArray(o.angle),d=s.isArrayOrTypedArray(o.color),v=s.isArrayOrTypedArray(o.line.color),g=s.isArrayOrTypedArray(o.opacity),y=s.isArrayOrTypedArray(o.size),m=s.isArrayOrTypedArray(o.line.width);if(u||(n=p.isOpenSymbol(o.symbol)),u||d||v||g||f){l.symbols=new Array(i),l.angles=new Array(i),l.colors=new Array(i),l.borderColors=new Array(i);var x=o.symbol,b=o.angle,_=c(o,o.opacity,i),w=c(o.line,o.opacity,i);if(!Array.isArray(w[0])){var T=w;for(w=Array(i),r=0;r<i;r++)w[r]=T}if(!Array.isArray(_[0])){var k=_;for(_=Array(i),r=0;r<i;r++)_[r]=k}if(!Array.isArray(x)){var A=x;for(x=Array(i),r=0;r<i;r++)x[r]=A}if(!Array.isArray(b)){var M=b;for(b=Array(i),r=0;r<i;r++)b[r]=M}for(l.symbols=x,l.angles=b,l.colors=_,l.borderColors=w,r=0;r<i;r++)u&&(n=p.isOpenSymbol(o.symbol[r])),n&&(w[r]=_[r].slice(),_[r]=_[r].slice(),_[r][3]=0);for(l.opacity=e.opacity,l.markers=new Array(i),r=0;r<i;r++)l.markers[r]=E({mx:l.symbols[r],ma:l.angles[r]},e)}else n?(l.color=a(o.color,\"uint8\"),l.color[3]=0,l.borderColor=a(o.color,\"uint8\")):(l.color=a(o.color,\"uint8\"),l.borderColor=a(o.line.color,\"uint8\")),l.opacity=e.opacity*o.opacity,l.marker=E({mx:o.symbol,ma:o.angle},e);var S,L=h(e,1);if(y||m){var C,P=l.sizes=new Array(i),O=l.borderSizes=new Array(i),I=0;if(y){for(r=0;r<i;r++)P[r]=L(o.size[r]),I+=P[r];C=I/i}else for(S=L(o.size),r=0;r<i;r++)P[r]=S;if(m)for(r=0;r<i;r++)O[r]=o.line.width[r];else for(S=o.line.width,r=0;r<i;r++)O[r]=S;l.sizeAvg=C}else l.size=L(o&&o.size||10),l.borderSizes=L(o.line.width);return l}function b(t,e,r){var n=e.marker,i={};return r?(r.marker&&r.marker.symbol?i=x(0,s.extendFlat({},n,r.marker)):r.marker&&(r.marker.size&&(i.size=r.marker.size),r.marker.color&&(i.colors=r.marker.color),void 0!==r.marker.opacity&&(i.opacity=r.marker.opacity)),i):i}function _(t,e,r){var n={};if(!r)return n;if(r.textfont){var i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=m(t,i)}return n}function w(t,e,r){var n={capSize:2*e.width*r,lineWidth:e.thickness*r,color:e.color};return e.copy_ystyle&&(n=t.error_y),n}var T=d.SYMBOL_SDF_SIZE,k=d.SYMBOL_SIZE,A=d.SYMBOL_STROKE,M={},S=l.symbolFuncs[0](.05*k);function E(t,e){var r,n,a=t.mx;if(\"circle\"===a)return null;var o=l.symbolNumber(a),s=l.symbolFuncs[o%100],u=!!l.symbolNoDot[o%100],c=!!l.symbolNoFill[o%100],f=p.isDotSymbol(a);if(t.ma&&(a+=\"_\"+t.ma),M[a])return M[a];var h=l.getMarkerAngle(t,e);return r=f&&!u?s(1.1*k,h)+S:s(k,h),n=i(r,{w:T,h:T,viewBox:[-k,-k,k,k],stroke:c?A:-A}),M[a]=n,n||null}t.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=t._context.plotGlPixelRatio;if(!0!==e.visible)return n;if(f.hasText(e)&&(n.text=m(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=x(0,e),n.markerSel=b(0,e,e.selected),n.markerUnsel=b(0,e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=v*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y,i)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,i,a=r.length,o=a/2;if(f.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if(\"hvh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if(\"vhv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if(\"vh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var u=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){u=!0;break}var c=u||n.length>d.TOO_MANY_POINTS||f.hasMarkers(e)?\"rect\":\"round\";if(u&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1])}return{join:c,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=u.getFromId(t,e.xaxis,\"x\"),c=u.getFromId(t,e.yaxis,\"y\"),f=r.length/2,h={};function p(t,i){var a=i._id.charAt(0),o=e[\"error_\"+a];if(o&&o.visible&&(\"linear\"===i.type||\"log\"===i.type)){for(var l=s(o),u={x:0,y:1}[a],c={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,v=-1/0,g=0,y=0;g<f;g++,y+=4){var m=t[g];if(n(m)){var x=r[2*g+u],b=l(m,g),_=b[0],w=b[1];if(n(_)&&n(w)){var T=m-_,k=m+w;p[y+c[0]]=x-i.c2l(T),p[y+c[1]]=i.c2l(k)-x,p[y+c[2]]=0,p[y+c[3]]=0,d=Math.min(d,m-_),v=Math.max(v,m+w)}}}h[a]={positions:r,errors:p,_bnds:[d,v]}}}return p(i,l),p(a,c),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,u=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var c=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(u)?u.length>1?u[i]:u[0]:u,v=g[p],y=g[d],m=c?c/.8+1:0,x=-y*m-.5*y;o.offset[i]=[v*m/h,x/h]}}return o}}},47148:function(t,e,r){\"use strict\";var n=r(71828),i=r(73972),a=r(68645),o=r(42341),s=r(47581),l=r(34098),u=r(67513),c=r(73927),f=r(49508),h=r(11058),p=r(28908),d=r(82410);t.exports=function(t,e,r,v){function g(r,i){return n.coerce(t,e,o,r,i)}var y=!!t.marker&&a.isOpenSymbol(t.marker.symbol),m=l.isBubble(t),x=u(t,e,v,g);if(x){c(t,e,v,g),g(\"xhoverformat\"),g(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",b),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,v,g),g(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,v,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",y||m?1:0)),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,v,g));var _=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},5345:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(37822).DESELECTDIM;t.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,u=l._scene,c=l.index,f=u.selectBatch[c],h=u.unselectBatch[c],p=u.textOptions[c],d=u.textSelectedOptions[c]||{},v=u.textUnselectedOptions[c]||{},g=n.extendFlat({},p);if(f.length||h.length){var y=d.color,m=v.color,x=p.color,b=Array.isArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=y||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=m||(y?_:i.addOpacity(_,a))}}u.glText[c].update(g)}}},68101:function(t,e,r){\"use strict\";var n=r(8225);t.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},68645:function(t,e,r){\"use strict\";var n=r(78232);e.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},e.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},20794:function(t,e,r){\"use strict\";var n=r(73972),i=r(71828),a=r(34603);function o(t,e,r,o){var s=t.xa,l=t.ya,u=t.distance,c=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.ma=i.isArrayOrTypedArray(d.angle)?d.angle[f]:d.angle,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var v=d&&d.line;v&&(h.mlc=Array.isArray(v.color)?v.color[f]:v.color,h.mlw=i.isArrayOrTypedArray(v.width)?v.width[f]:v.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var y=s.c2p(h.x,!0),m=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:y-x,x1:y+x,xLabelVal:k?k[f]:h.x,y0:m-x,y1:m+x,yLabelVal:A?A[f]:h.y,cd:T,distance:u,spikeDistance:c,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}t.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,u,c,f,h,p,d,v=t.cd,g=v[0].t,y=v[0].trace,m=t.xa,x=t.ya,b=g.x,_=g.y,w=m.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=m.p2c(w-k),M=m.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if(\"x\"===n){var C=!!y.xperiodalignment,P=!!y.yperiodalignment;for(c=0;c<i.length;c++){if(l=b[a=i[c]],f=Math.abs(m.c2p(l)-w),C){var O=m.c2p(y._xStarts[a]),I=m.c2p(y._xEnds[a]);f=w>=Math.min(O,I)&&w<=Math.max(O,I)?0:1/0}if(f<L){if(L=f,u=_[a],h=x.c2p(u)-T,P){var D=x.c2p(y._yStarts[a]),z=x.c2p(y._yEnds[a]);h=T>=Math.min(D,z)&&T<=Math.max(D,z)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[c]}}}else for(c=i.length-1;c>-1;c--)l=b[a=i[c]],u=_[a],f=m.c2p(l)-w,h=x.c2p(u)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 0===s?[t]:[o(t,b,_,y)]},calcHover:o}},68868:function(t,e,r){\"use strict\";var n=r(72156);n.plot=r(26787),t.exports=n},26787:function(t,e,r){\"use strict\";var n=r(11870),i=r(46075),a=r(3593),o=r(42505),s=r(71828),l=r(64505).selectMode,u=r(79749),c=r(34098),f=r(68687),h=r(5345).styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,u=i.r*n,c=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-u-(1-e.domain[1])*f,o-c-(1-r.domain[1])*h]}(t.exports=function(t,e,r){if(r.length){var v,g,y=t._fullLayout,m=e._scene,x=e.xaxis,b=e.yaxis;if(m)if(u(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],p)){var 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a.marker&&\"auto\"!==a.marker.angle&&i.extendFlat(P.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),P.layout[\"icon-allow-overlap\"]=a.marker.allowoverlap,i.extendFlat(P.paint,{\"icon-opacity\":a.opacity*a.marker.opacity,\"icon-color\":a.marker.color})),k)){var D=(a.marker||{}).size,z=f(a.textposition,D);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":z.anchor,\"text-offset\":z.offset}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity})}return O}},76645:function(t,e,r){\"use strict\";var n=r(71828),i=r(34098),a=r(49508),o=r(11058),s=r(82410),l=r(28908),u=r(99181);t.exports=function(t,e,r,c){function f(r,i){return n.coerce(t,e,u,r,i)}function h(r,i){return n.coerce2(t,e,u,r,i)}var p=function(t,e,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return 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i={},a=r[e.subplot]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),!0).text,i.latLabel=n.tickText(a,a.c2l(o[1]),!0).text,i}},28178:function(t,e,r){\"use strict\";var n=r(30211),i=r(71828),a=r(34603),o=i.fillText,s=r(50606).BADNUM,l=r(77734).traceLayerPrefix;function u(t,e,r){if(!t.hovertemplate){var n=(e.hi||t.hoverinfo).split(\"+\"),i=-1!==n.indexOf(\"all\"),a=-1!==n.indexOf(\"lon\"),s=-1!==n.indexOf(\"lat\"),l=e.lonlat,u=[];return i||a&&s?u.push(\"(\"+c(l[1])+\", \"+c(l[0])+\")\"):a?u.push(r.lon+c(l[0])):s&&u.push(r.lat+c(l[1])),(i||-1!==n.indexOf(\"text\"))&&o(e,t,u),u.join(\"<br>\")}function c(t){return t+\"°\"}}t.exports={hoverPoints:function(t,e,r){var o=t.cd,c=o[0].trace,f=t.xa,h=t.ya,p=t.subplot,d=[],v=l+c.uid+\"-circle\",g=c.cluster&&c.cluster.enabled;if(g){var y=p.map.queryRenderedFeatures(null,{layers:[v]});d=y.map((function(t){return t.id}))}var m=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),x=e-m;if(n.getClosest(o,(function(t){var 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n=r(50693),i=r(12663).axisHoverFormat,a=r(5386).f,o=r(2418),s=r(9012),l=r(1426).extendFlat,u={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},starts:{x:{valType:\"data_array\",editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"},maxdisplayed:{valType:\"integer\",min:0,dflt:1e3,editType:\"calc\"},sizeref:{valType:\"number\",editType:\"calc\",min:0,dflt:1},text:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(u,n(\"\",{colorAttr:\"u/v/w 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L=function(){m=0,M=[],S=[],E=[]};(!m||m<M.length*S.length*E.length)&&L();var C=function(t){return\"x\"===t?v:\"y\"===t?g:y},P=function(t){return\"x\"===t?M:\"y\"===t?S:E},O=function(t){return t[m-1]<t[0]?-1:1},I=C(A[1]),D=C(A[3]),z=C(A[5]),R=P(A[1]).length,F=P(A[3]).length,B=P(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=O(C(A[1])),V=O(C(A[3])),H=O(C(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var q=j(e,r,i),G=j(e,r,i+1),Z=j(e,r+1,i),Y=j(e+1,r,i);if(I[q]*U<I[G]*U&&D[q]*V<D[Z]*V&&z[q]*H<z[Y]*H||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! 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O.lightPosition=[D.x,D.y,D.z],O.ambient=e.lighting.ambient,O.diffuse=e.lighting.diffuse,O.specular=e.lighting.specular,O.roughness=e.lighting.roughness,O.fresnel=e.lighting.fresnel,O.opacity=e.opacity,e._pad=O.tubeScale*e.sizeref*2,O}f.handlePick=function(t){var e=this.scene.fullSceneLayout,r=this.scene.dataScale;function n(t,n){var i=e[n],a=r[u[n]];return i.l2c(t)/a}if(t.object===this.mesh){var i=t.data.position,a=t.data.velocity;return t.traceCoordinate=[n(i[0],\"xaxis\"),n(i[1],\"yaxis\"),n(i[2],\"zaxis\"),n(a[0],\"xaxis\"),n(a[1],\"yaxis\"),n(a[2],\"zaxis\"),t.data.intensity*this.data._normMax,t.data.divergence],t.textLabel=this.data.hovertext||this.data.text,!0}},f.update=function(t){this.data=t;var e=d(this.scene,t);this.mesh.update(e)},f.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},t.exports=function(t,e){var r=t.glplot.gl,n=d(t,e),a=i(r,n),o=new c(t,e.uid);return o.mesh=a,o.data=e,a._trace=o,t.glplot.add(a),o}},22459:function(t,e,r){\"use 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n=r(9012),i=r(5386).f,a=r(5386).s,o=r(50693),s=r(27670).Y,l=r(34e3),u=r(7055),c=r(1426).extendFlat;t.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:c({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:c({},l.marker.line.color,{dflt:null}),width:c({},l.marker.line.width,{dflt:1}),editType:\"calc\"},editType:\"calc\"},o(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:l.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current path\",\"percent 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s,l=b.getPtId(t.parent);T.each((function(t){if(b.getPtId(t)===l)return s=t}));var u,c=s.children;c.forEach((function(t,e){if(b.getPtId(t)===r)return u=e}));var f=c.length,h=a(s.x0,s.x1);e={rpx0:I,rpx1:I,x0:h(u/f),x1:h((u+1)/f)}}return a(n,e)}(t);return function(t){return Z(e(t))}})),t.select(\"g.slicetext\").attr(\"opacity\",0)})).remove():T.exit().remove(),T.order();var X=null;if(_&&R){var J=b.getPtId(R);T.each((function(t){null===X&&b.getPtId(t)===J&&(X=t.x1)}))}var K=T;function $(t){var e=t.parent,r=F[b.getPtId(e)],n={};if(r){var i=e.children,o=i.indexOf(t),s=i.length,l=a(r.x0,r.x1);n.x0=l(o/s),n.x1=l(o/s)}else n.x0=n.x1=0;return n}_&&(K=K.transition().each(\"end\",(function(){var e=n.select(this);b.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:!1})}))),K.each((function(i){var u=n.select(this),f=s.ensureSingle(u,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",h?\"none\":\"all\")}));i.rpx0=q(i.y0),i.rpx1=q(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=G(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),_?f.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(R)if(t.parent)if(X){var i=(t.x1>X?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,$(t));else e={rpx0:0,rpx1:0};else e={x0:V,x1:V};return a(e,n)}(t);return function(t){return Z(e(t))}})):f.attr(\"d\",Z),u.call(m,S,t,r,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(b.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),f.call(g,i,A);var p=s.ensureSingle(u,\"g\",\"slicetext\"),w=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),T=s.ensureUniformFontSize(t,b.determineTextFont(A,i,y.font));w.text(e.formatSliceLabel(i,S,A,r,y)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(o.font,T).call(l.convertToTspans,t);var M=o.bBox(w.node());i.transform=v(M,i,k),i.transform.targetX=Y(i),i.transform.targetY=W(i);var E=function(t,e){var r=t.transform;return d(r,e),r.fontSize=T.size,c(A.type,r,y),s.getTextTransform(r)};_?w.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},R)if(t.parent)if(X){var i=t.x1>X?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,$(t));else e.x0=e.x1=V;else e.x0=e.x1=V;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),u=a(e.x0,t.x0),f=a(e.x1,t.x1),h=a(e.transform.scale,n.scale),p=a(e.transform.rotate,n.rotate),d=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,v=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=u(t),i=f(t),a=function(t){return v(Math.pow(t,d))}(t),s={pxmid:G(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return c(A.type,n,y),{transform:{targetX:Y(s),targetY:W(s),scale:h(t),rotate:p(t),rCenter:a}}}}(t);return function(t){return E(e(t),M)}})):w.attr(\"transform\",E(i,M))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}e.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,u=!r,c=!s.uniformtext.mode&&b.hasTransition(r);f(\"sunburst\",s),(a=l.selectAll(\"g.trace.sunburst\").data(e,(function(t){return t[0].trace.uid}))).enter().append(\"g\").classed(\"trace\",!0).classed(\"sunburst\",!0).attr(\"stroke-linejoin\",\"round\"),a.order(),c?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){o&&o()})).each(\"interrupt\",(function(){o&&o()})).each((function(){l.selectAll(\"g.trace\").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&y(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\")),u&&a.exit().remove()},e.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&\"none\"!==o))return\"\";var l=i.separators,u=n[0],c=t.data.data,f=u.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var v,g=o.split(\"+\"),y=function(t){return-1!==g.indexOf(t)},m=[];if(y(\"label\")&&c.label&&m.push(c.label),c.hasOwnProperty(\"v\")&&y(\"value\")&&m.push(b.formatValue(c.v,l)),!h){y(\"current path\")&&m.push(b.getPath(t.data));var x=0;y(\"percent parent\")&&x++,y(\"percent entry\")&&x++,y(\"percent root\")&&x++;var _=x>1;if(x){var w,T=function(t){v=b.formatPercent(w,l),_&&(v+=\" of \"+t),m.push(v)};y(\"percent parent\")&&!h&&(w=d/b.getValue(p),T(\"parent\")),y(\"percent entry\")&&(w=d/b.getValue(e),T(\"entry\")),y(\"percent root\")&&(w=d/b.getValue(f),T(\"root\"))}}return y(\"text\")&&(v=s.castOption(r,c.i,\"text\"),s.isValidTextValue(v)&&m.push(v)),m.join(\"<br>\")}var k=s.castOption(r,c.i,\"texttemplate\");if(!k)return\"\";var A={};c.label&&(A.label=c.label),c.hasOwnProperty(\"v\")&&(A.value=c.v,A.valueLabel=b.formatValue(c.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),c.hasOwnProperty(\"color\")&&(A.color=c.color);var M=s.castOption(r,c.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,c.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},29969:function(t,e,r){\"use strict\";var n=r(39898),i=r(7901),a=r(71828),o=r(72597).resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,\"marker.line.color\")||i.defaultLine,u=a.castOption(r,s,\"marker.line.width\")||0;t.style(\"stroke-width\",u).call(i.fill,n.color).call(i.stroke,l).style(\"opacity\",o?r.leaf.opacity:null)}t.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style(\"opacity\",r.opacity),e.selectAll(\"path.surface\").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},54532:function(t,e,r){\"use strict\";var n=r(7901),i=r(50693),a=r(12663).axisHoverFormat,o=r(5386).f,s=r(9012),l=r(1426).extendFlat,u=r(30962).overrideAll;function c(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var f=t.exports=u(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or 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n=r(78803);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\"})}},43768:function(t,e,r){\"use strict\";var n=r(9330).gl_surface3d,i=r(9330).ndarray,a=r(9330).ndarray_linear_interpolate.d2,o=r(824),s=r(43907),l=r(71828).isArrayOrTypedArray,u=r(81697).parseColorScale,c=r(78614),f=r(21081).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){null!=t.dataCoordinate[a]&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var o=this.data.hovertext||this.data.text;return Array.isArray(o)&&o[i]&&void 0!==o[i][n]?t.textLabel=o[i][n]:t.textLabel=o||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function 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A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=m[e],p.highlightColor[e]=w.contourColor[e]=c(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=c(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in 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n=r(50215),i=r(1426).extendFlat,a=r(30962).overrideAll,o=r(41940),s=r(27670).Y,l=r(12663).descriptionOnlyNumbers;(t.exports=a({domain:s({name:\"table\",trace:!0}),columnwidth:{valType:\"number\",arrayOk:!0,dflt:null},columnorder:{valType:\"data_array\"},header:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell value\")},prefix:{valType:\"string\",arrayOk:!0,dflt:null},suffix:{valType:\"string\",arrayOk:!0,dflt:null},height:{valType:\"number\",dflt:28},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:\"number\",arrayOk:!0,dflt:1},color:{valType:\"color\",arrayOk:!0,dflt:\"grey\"}},fill:{color:{valType:\"color\",arrayOk:!0,dflt:\"white\"}},font:i({},o({arrayOk:!0}))},cells:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell 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32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return this.clone().ineg()},a.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},a.prototype.iuor=function(t){for(;this.length<t.length;)this.words[this.length++]=0;for(var e=0;e<t.length;e++)this.words[e]=this.words[e]|t.words[e];return this.strip()},a.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},a.prototype.or=function(t){return this.length>t.length?this.clone().ior(t):t.clone().ior(this)},a.prototype.uor=function(t){return this.length>t.length?this.clone().iuor(t):t.clone().iuor(this)},a.prototype.iuand=function(t){var e;e=this.length>t.length?t:this;for(var r=0;r<e.length;r++)this.words[r]=this.words[r]&t.words[r];return this.length=e.length,this.strip()},a.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},a.prototype.and=function(t){return this.length>t.length?this.clone().iand(t):t.clone().iand(this)},a.prototype.uand=function(t){return this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,u=0,c=0|o[0],f=8191&c,h=c>>>13,p=0|o[1],d=8191&p,v=p>>>13,g=0|o[2],y=8191&g,m=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],O=8191&P,I=P>>>13,D=0|o[8],z=8191&D,R=D>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Z=0|s[2],Y=8191&Z,W=Z>>>13,X=0|s[3],J=8191&X,K=X>>>13,$=0|s[4],Q=8191&$,tt=$>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ut=st>>>13,ct=0|s[8],ft=8191&ct,ht=ct>>>13,pt=0|s[9],dt=8191&pt,vt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(u+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;u=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(v,U)|0,a=Math.imul(v,V);var yt=(u+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,q)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,W)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,W)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,q)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,W)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,W)|0;var xt=(u+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;u=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,W)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,W)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(v,J)|0,a=a+Math.imul(v,K)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,W)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,W)|0,n=n+Math.imul(y,J)|0,i=(i=i+Math.imul(y,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,W)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,W)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,W)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,W)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,q)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,q)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,W)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,W)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,q)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,W)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,W)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,W)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,W)|0,n=n+Math.imul(O,J)|0,i=(i=i+Math.imul(O,K)|0)+Math.imul(I,J)|0,a=a+Math.imul(I,K)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,W))+Math.imul(N,Y)|0,a=Math.imul(N,W),n=n+Math.imul(z,J)|0,i=(i=i+Math.imul(z,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),u=Math.max(0,a-t.length+1);u<=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var f=l,h=u,p=0;p<o;p++){var d=r[c+p],v=n[c+p],g=r[c+p+o],y=n[c+p+o],m=f*g-h*y;y=f*y+h*g,g=m,r[c+p]=d+g,n[c+p]=v+y,r[c+p+o]=d-g,n[c+p+o]=v-y,p!==s&&(m=l*f-u*h,h=l*h+u*f,f=m)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var p=0;p<n;p++){var d=s[p]*c[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*c[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),v(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r||!(this.words[r]&i))},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){m.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){m.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){m.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(x,m),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,m),i(_,m),i(w,m),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var v=p,g=0;0!==v.cmp(s);g++)v=v.redSqr();n(g<d);var y=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(y),f=y.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var u=e.words[n],c=l-1;c>=0;c--){var f=u>>c&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4==++s||0===n&&0===c)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var 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l=e;l>0;--l)r.push(a(o[l-1],s[l-1],arguments[l])),n.push(0)}},s.move=function(t){var e=this.lastT(),r=this.dimension;if(!(t<=e||arguments.length!==r+1)){var n=this._state,i=this._velocity,o=n.length-this.dimension,s=this.bounds,l=s[0],u=s[1],c=t-e,f=c>1e-6?1/c:0;this._time.push(t);for(var h=r;h>0;--h){var p=arguments[h];n.push(a(l[h-1],u[h-1],n[o++]+p)),i.push(p*f)}}},s.idle=function(t){var e=this.lastT();if(!(t<e)){var r=this.dimension,n=this._state,i=this._velocity,o=n.length-r,s=this.bounds,l=s[0],u=s[1],c=t-e;this._time.push(t);for(var f=r-1;f>=0;--f)n.push(a(l[f],u[f],n[o]+c*i[o])),i.push(0),o+=1}}},7080:function(t){\"use strict\";function e(t,e,r,n,i,a){this._color=t,this.key=e,this.value=r,this.left=n,this.right=i,this._count=a}function r(t){return new e(t._color,t.key,t.value,t.left,t.right,t._count)}function n(t,r){return new e(t,r.key,r.value,r.left,r.right,r._count)}function i(t){t._count=1+(t.left?t.left._count:0)+(t.right?t.right._count:0)}function 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c=o(t,s.key);l.push(s),u.push(c),s=c<=0?s.left:s.right}l.push(new e(0,t,r,null,null,1));for(var f=l.length-2;f>=0;--f)s=l[f],u[f]<=0?l[f]=new e(s._color,s.key,s.value,l[f+1],s.right,s._count+1):l[f]=new e(s._color,s.key,s.value,s.left,l[f+1],s._count+1);for(f=l.length-1;f>1;--f){var h=l[f-1];if(s=l[f],1===h._color||1===s._color)break;var p=l[f-2];if(p.left===h)if(h.left===s){if(!(d=p.right)||0!==d._color){p._color=0,p.left=h.right,h._color=1,h.right=p,l[f-2]=h,l[f-1]=s,i(p),i(h),f>=3&&((v=l[f-3]).left===p?v.left=h:v.right=h);break}h._color=1,p.right=n(1,d),p._color=0,f-=1}else{if(!(d=p.right)||0!==d._color){h.right=s.left,p._color=0,p.left=s.right,s._color=1,s.left=h,s.right=p,l[f-2]=s,l[f-1]=h,i(p),i(h),i(s),f>=3&&((v=l[f-3]).left===p?v.left=s:v.right=s);break}h._color=1,p.right=n(1,d),p._color=0,f-=1}else if(h.right===s){if(!(d=p.left)||0!==d._color){p._color=0,p.right=h.left,h._color=1,h.left=p,l[f-2]=h,l[f-1]=s,i(p),i(h),f>=3&&((v=l[f-3]).right===p?v.right=h:v.left=h);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}else{var d;if(!(d=p.left)||0!==d._color){var v;h.left=s.right,p._color=0,p.right=s.left,s._color=1,s.right=h,s.left=p,l[f-2]=s,l[f-1]=h,i(p),i(h),i(s),f>=3&&((v=l[f-3]).right===p?v.right=s:v.left=s);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}}return l[0]._color=1,new a(o,l[0])},o.forEach=function(t,e,r){if(this.root)switch(arguments.length){case 1:return s(t,this.root);case 2:return l(e,this._compare,t,this.root);case 3:if(this._compare(e,r)>=0)return;return u(e,r,this._compare,t,this.root)}},Object.defineProperty(o,\"begin\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.left;return new c(this,t)}}),Object.defineProperty(o,\"end\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.right;return new c(this,t)}}),o.at=function(t){if(t<0)return new 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e(s._color,s.key,s.value,s.left,o[l+1],s._count);if((s=o[o.length-1]).left&&s.right){var u=o.length;for(s=s.left;s.right;)o.push(s),s=s.right;var c=o[u-1];for(o.push(new e(s._color,c.key,c.value,s.left,s.right,s._count)),o[u-1].key=s.key,o[u-1].value=s.value,l=o.length-2;l>=u;--l)s=o[l],o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);o[u-1].left=o[u]}if(0===(s=o[o.length-1])._color){var f=o[o.length-2];for(f.left===s?f.left=null:f.right===s&&(f.right=null),o.pop(),l=0;l<o.length;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(s.left||s.right){for(s.left?h(s,s.left):s.right&&h(s,s.right),s._color=1,l=0;l<o.length-1;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(1===o.length)return new a(this.tree._compare,null);for(l=0;l<o.length;++l)o[l]._count--;var p=o[o.length-2];return function(t){for(var e,a,o,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((a=t[l-1]).left===e){if((o=a.right).right&&0===o.right._color)return s=(o=a.right=r(o)).right=r(o.right),a.right=o.left,o.left=a,o.right=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),void(t[l-1]=o);if(o.left&&0===o.left._color)return s=(o=a.right=r(o)).left=r(o.left),a.right=s.left,o.left=s.right,s.left=a,s.right=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).left===a?u.left=s:u.right=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.right=n(0,o));a.right=n(0,o);continue}o=r(o),a.right=o.left,o.left=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((o=a.left).left&&0===o.left._color)return s=(o=a.left=r(o)).left=r(o.left),a.left=o.right,o.right=a,o.left=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),void(t[l-1]=o);if(o.right&&0===o.right._color)return 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c(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=c.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),u=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),c=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t)for(r=t.ticks,c=!0,this.autoTicks=!1,p=0;p<3;++p)this.tickSpacing[p]=0;else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,c=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),c=!0),c){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?c=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(c=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),u(\"tickColor\");var v=l(\"labels\");l(\"labelFont\")&&(v=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),u(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),u(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),u(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),u(\"gridColor\"),o(\"zeroEnable\"),u(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),u(\"backgroundColor\"),this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<<c&&(f=s,h=a,p=l,d=o),f[c]=r[0][c],h[c]=r[1][c],i[c]>0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,D=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,D=(A+1+(1^O))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,P,this.zeroLineColor[D],this.zeroLineWidth[D]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var z=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(H[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,E=1,\"auto\"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)H[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),\"auto\"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),O=0;O<3;++O)H[O]+=k*U[O]*this.labelPad[O]/r[5*O];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},1011:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},2864:function(t,e,r){\"use strict\";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]<u[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);o(u[I],u[P],u[O],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);var I,D=d([l[I],l[P],l[O],l[I+(1<<M)+(1<<S)]]);C?E=D:L=D}L>E&&(w|=1<<A)}}}var z=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==z&&(R<0||u[R][1]>u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==z&&(F<0&&(F=N),(S=u[N])[0]<u[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==z&&N!==F&&(B<0&&(B=N),(S=u[N])[0]>u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(A=0;A<3;++A)V[A]=H&1<<A?-1:1;return y};var n=r(2288),i=r(104),a=r(4670),o=r(417),s=new Array(16),l=new Array(8),u=new Array(8),c=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],u[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var v=[1,1,1],g=[0,0,0],y={cubeEdges:v,axis:g}},1681:function(t,e,r){\"use strict\";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var v=+r[f][d].x;o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h,h=o.length/3|0;for(var y=0;y<r[f].length;++y)v=+r[f][y].x,o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1);g=o.length/3|0,u[f]=h,c[f]=g-h}var m=n(t,new Float32Array(o)),x=i(t,[{buffer:m,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,m,x,b,l,s,c,u)};var n=r(5827),i=r(2944),a=r(1943).j,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var p=h(u,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var v=f(l);v[t]=1,this.shader.uniforms.screenAxis=v,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},1943:function(t,e,r){\"use strict\";var n=r(6832),i=r(5158),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.j=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.f=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);e.bg=function(t){return i(t,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},9557:function(t,e,r){\"use strict\";t.exports=function(t,e,r,i,o,l){var u=n(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,i,o,l),p};var n=r(5827),a=r(2944),o=r(875),s=r(1943).f,l=window||i.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=u[r];l||(l=u[r]={});var c=l[e];c||(c=l[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=c.positions,p=c.cells,d=0,v=p.length;d<v;++d)for(var g=p[d],y=2;y>=0;--y){var m=h[g[y]];a.push(f*m[0],-f*m[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v<n[d].length;++v)n[d][v].text&&s(n[d][v].x,n[d][v].text,n[d][v].font||i,n[d][v].fontSize||12,1.25,p);c[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=c,this.labelOffset=f,this.labelCount=h},f.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},f.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},8468:function(t,e){\"use strict\";function r(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=\"\"+l;if(o<0&&(c=\"-\"+c),i){for(var f=\"\"+u;f.length<i;)f=\"0\"+f;return c+\".\"+f}return c}e.create=function(t,e){for(var n=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:r(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},2771:function(t,e,r){\"use strict\";t.exports=function(t,e,r,l,f){var h=e.model||u,p=e.view||u,y=e.projection||u,m=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,y,x,m)).axis;o(c,p,h),o(c,y,c);for(var _=v,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(c,c));s(c,c);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=m?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var O=d(g,c,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(O[C])))}}}}return _};var n=r(5795),i=r(4670),a=r(2864),o=r(104),s=r(2142),l=r(6342),u=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,u=0;u<3;++u)s[u]=o[u]=r[u];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var v=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},5827:function(t,e,r){\"use strict\";var n=r(5306),i=r(7498),a=r(5050),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function u(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,\"uint16\"):c(t,\"float32\"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},1140:function(t,e,r){\"use strict\";var n=r(2858);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;m<r.length;m++){var x=r[m];s=Math.min(x[0],s),l=Math.max(x[0],l),u=Math.min(x[1],u),c=Math.max(x[1],c),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[m];if(n.length(b)>o&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A,m=0;for(var M=0;m<r.length;m++)for(var S=(x=r[m])[0],E=x[1],L=x[2],C=v[m],P=n.length(C)*k,O=0;O<8;O++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var I=a.positions.length;a.cells.push([I-6,I-5,I-4],[I-3,I-2,I-1])}return a};var i=r(7234);t.exports.createMesh=r(5028),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:\"cone\"})}},5028:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(104),l=r(7437),u=r(5050),c=r(9156),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,u,c){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=u,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=c,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;function d(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}function v(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}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),v=Math.max(v,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),v=Math.max(v,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var m=n[g],x=0;x<3;++x)!isNaN(m[x])&&isFinite(m[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],m[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],m[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];if(3===_.length){for(x=0;x<3;++x){m=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(m[w])||!isFinite(m[w]))continue t}for(x=0;x<3;++x){var T;m=n[T=_[2-x]],a.push(m[0],m[1],m[2],m[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(v-d),0]:[(m[2]-d)/(v-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var u={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};u.inverseModel=l(u.inverseModel,u.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(s(c,u.view,u.model),s(c,u.projection,c),l(c,c),o=0;o<3;++o)u.eyePosition[o]=c[12+o]/c[15];var h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];u.lightPosition[o]=p/h}if(this.triangleCount>0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=v(t,n),c=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));c.generateMipmap(),c.minFilter=t.LINEAR_MIPMAP_LINEAR,c.magFilter=t.LINEAR;var f=i(t),p=i(t),g=i(t),y=i(t),m=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:m,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:y,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,c,s,l,f,p,m,g,y,x,r.traceType||\"cone\");return b.update(e),b}},7234:function(t,e,r){var n=r(6832),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, 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RESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},6603:function(t,e,r){var 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worldPosition  = model * vec4(position, 1.0);\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n  gl_Position         = projection * view * worldPosition;\\n  fragColor           = color;\\n  fragPosition        = position;\\n}\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},4234:function(t,e,r){\"use strict\";var n=r(8931);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension(\"WEBGL_draw_buffers\");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,u),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>c||r<0||r>c)throw new 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c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error(\"gl-fbo: Framebuffer unsupported\");case a:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var v=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return v._shape[0]},set:function(t){return v.width=t}},1:{get:function(){return v._shape[1]},set:function(t){return v.height=t}}}),this._shapeVector=g,function(t){var e=u(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,v=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+y);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var m=r.getExtension(\"WEBGL_depth_texture\");m?d?t.depth=h(r,i,a,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):v&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),c(r,e),f(x)}c(r,e)}(this)}var v=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(v,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),v.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},v.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},3530:function(t,e,r){var n=r(8974).sprintf,i=r(6603),a=r(9365),o=r(8008);t.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var u=n(\"Error compiling %s shader %s:\\n\",l,s),c=n(\"%s%s\",u,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var v=parseInt(d.split(\":\")[2]);if(isNaN(v))throw new Error(n(\"Could not parse error: %s\",d));h[v]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if(h[p+3]||h[p+2]||h[p+1]){if(u+=g[p]+\"\\n\",h[p+1]){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),u+=n(\"^^^ %s\\n\\n\",y)}}return{long:u.trim(),short:c.trim()}}},6386:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=t.gl,n=new u(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(5070),i=r(9560),a=r(5306),o=r(5158),s=r(5827),l=r(1292);function u(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var c,f=u.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(c=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],u=a[3]-a[1];c[0]=2*o/l,c[4]=2*s/u,c[6]=2*(r[0]-a[0])/l-1,c[7]=2*(r[1]-a[1])/u-1,e.bind();var f=e.uniforms;f.viewTransform=c,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*u/f,t[4]=2*c/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,O;l?(P=x*(o[C]-c),O=x*(o[C+1]-c)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),O=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-c):x*(o[C]+(o[C]-o[C-1])/2-c));for(var I=0;I<E;++I){var D,z;l?(D=m*(r[I]-u),z=m*(r[I+1]-u)):(D=I<b-1?m*(r[I]-(r[I+1]-r[I])/2-u):m*(r[I]-(r[I]-r[I-1])/2-u),z=I<b-1?m*(r[I]+(r[I+1]-r[I])/2-u):m*(r[I]+(r[I]-r[I-1])/2-u));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(I+U):C*b+I],q=n.le(d,H);if(q<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(q===g-1)F=v[4*g-4],B=v[4*g-3],N=v[4*g-2],j=v[4*g-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Z=1-G,Y=4*q,W=4*(q+1);F=Z*v[Y]+G*v[W],B=Z*v[Y+1]+G*v[W+1],N=Z*v[Y+2]+G*v[W+2],j=Z*v[Y+3]+G*v[W+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*D+.5*z,k[2*S+1]=.5*P+.5*O,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+I,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},1292:function(t,e,r){\"use strict\";var n=r(6832);t.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},248:function(t,e,r){var n=r(6832),i=r(5158),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},6086:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var 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r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return(r=Math.sqrt(r))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(c,e),y=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},2056:function(t,e,r){var n=r(6832),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},8116:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function C(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var f=u[0];2===u.length&&(f=u[c]);for(var d=n[f][0],v=n[f][1],g=i[f],y=1-g,m=this.positions[d],x=this.positions[v],b=0;b<3;++b)o[s++]=g*m[b]+y*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return c(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],u=[],h=[],p=[],d=[],v=[],g=[],y=[],m=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,O=t.cellUVs,I=t.cellIntensity,D=1/0,z=-1/0;if(!C&&!O)if(P)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],z=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];D=Math.min(D,F),z=Math.max(z,F)}else if(I)if(t.cellIntensityBounds)D=+t.cellIntensityBounds[0],z=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[R],D=Math.min(D,F),z=Math.max(z,F);else for(R=0;R<n.length;++R)F=n[R][2],D=Math.min(D,F),z=Math.max(z,F);this.intensity=P||I||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.pickVertex=!(I||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[Y=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),W=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?m.push(W[0],W[1],W[2],this.opacity):(m.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],x.push(X[0],X[1]),B?b.push(B[Y]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[Y=G[U]];for(var Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t}for(U=0;U<2;++U)j=n[Y=G[U]],p.push(j[0],j[1],j[2]),W=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?d.push(W[0],W[1],W[2],this.opacity):(d.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],v.push(X[0],X[1]),g.push(R);H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[Y=G[U]],Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t;for(U=0;U<3;++U){var Y,W,X,J;j=n[Y=G[2-U]],i.push(j[0],j[1],j[2]),(W=S?S[Y]:E?E[R]:L)?this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?a.push(W[0],W[1],W[2],this.opacity):(a.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],u.push(X[0],X[1]),J=w?w[Y]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(m),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(l(c,s.view,s.model),l(c,s.projection,c),u(c,c),o=0;o<3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],u=this.positions[r[1]],c=this.positions[r[2]],f=[(l[0]+u[0]+c[0])/3,(l[1]+u[1]+c[1])/3,(l[2]+u[2]+c[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=v(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},t.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!r)throw new Error(\"derivatives not supported\");var n=M(t),s=S(t),l=E(t),u=L(t),f=C(t),h=P(t),p=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),v=i(t),g=i(t),y=i(t),m=i(t),x=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:m,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:y,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),k=i(t),A=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),O=i(t),I=i(t),D=i(t),z=i(t),R=i(t),F=a(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:I,type:t.FLOAT,size:4},{buffer:D,type:t.FLOAT,size:2},{buffer:z,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,u,f,h,d,m,v,g,y,x,b,k,_,w,A,O,R,I,D,z,F,B,N);return j.update(e),j}},4554:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,u=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3016:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(5827),i=r(5158),a=r(5070),o=r(2709);function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var u,c,f,h,p,d=s.prototype;d.draw=(u=[0,0],c=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,v=0;v<2;++v){var g=a[v],y=a[v+2]-g,m=.5*(o[v+2]+o[v]),x=o[v+2]-o[v];c[v]=2*y/x,u[v]=2*(g-m)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=u,r.uniforms.dataScale=c;var b=0;for(v=0;v<2;++v){f[0]=f[1]=0,f[v]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[v]/(s[v+2]-s[v])*d,r.uniforms.color=h[v];var _=6*n[v].length;p[v]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,v=s.viewBox,g=s.pixelRatio,y=s.screenBox,m=y[2]-y[0],x=y[3]-y[1],b=v[2]-v[0],_=v[3]-v[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/m,t[0]*=b/m,e[1]*=_/x,t[1]*=_/x,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var S=c.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,O=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),I=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),D=0+6*O,z=6*Math.max(0,I-O),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(v[0]-E[1])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[1]*g/m,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[1]-E[0])/x-1,o[0]=L[0]*g/m,o[1]=E[0]*g/x,z&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z)),i[0]=2*(v[2]+E[3])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[3]*g/m,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[3]+E[2])/x-1,o[0]=L[2]*g/m,o[1]=E[2]*g/x,z&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],u=r[o],c=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-u)/(c-u);s.push(d);for(var v=0;v<6;++v)n[i++]=d,n[i++]=h[v],n[i++]=p[v]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},1154:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,u=this.shader,c=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,u.uniforms.start=s,u.uniforms.end=l,u.uniforms.width=i*o.pixelRatio,u.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2709:function(t,e,r){\"use strict\";var n=r(6832),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);t.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},5613:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(5827),i=r(5158),a=r(6946),o=r(5070),s=r(2709);function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var u,c,f,h,p,d,v=l.prototype;v.drawTicks=(u=[0,0],c=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,v=e.tickPad,g=e.tickColor,y=e.tickAngle,m=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);u[0]=u[1]=0,u[t]=1,c[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];c[1^t]=M*s[1^t]-1,d[t]&&(c[1^t]-=M*p*v[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,v=p.text,g=p.font||\"sans-serif\";i=p.fontSize||12;for(var y=1/(u[o+2]-u[o]),m=u[o],x=v.split(\"\\n\"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-m)*y);c.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=c,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},v.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2117:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(2611),i=r(3016),a=r(5613),o=r(1154),s=r(4554);function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var u=l.prototype;function c(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}u.setDirty=function(){this.dirty=this.pickDirty=!0},u.setOverlayDirty=function(){this.dirty=!0},u.nextDepthValue=function(){return this._depthCounter++/65536},u.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,m=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],m[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],m[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],m[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],m[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},u.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},u.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),u=this.objects,c=0;c<u.length;++c){var f=u[c].pick(a,o,l);if(f)return f}return null}},u.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},u.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},u.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},u.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]),this.screenBox,this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=c(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=c(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=c(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=c(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=c(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=c(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},u.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},u.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},u.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},4296:function(t,e,r){\"use strict\";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];\"distanceLimits\"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(r[0]=e.zoomMin),\"zoomMax\"in e&&(r[1]=e.zoomMax);var u=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:u,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:u.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),\"turntable\"===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,c=\"zoom\"===o,h=!!a.control,p=!!a.alt,v=!!a.shift,g=!!(1&e),y=!!(2&e),m=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!v||g&&!h&&!p&&v)&&u.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!v||y||g&&h&&!p&&!v)&&u.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),c&&g&&!h&&!p&&!v||m||g&&!h&&p&&!v)){var M=-d.zoomSpeed*_/window.innerHeight*(A-u.lastT())*100;u.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},1059:function(t,e,r){\"use strict\";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2861)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return\"boolean\"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement(\"canvas\"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error(\"webgl not supported\");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,z);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener(\"resize\",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener(\"resize\",N),e.removeEventListener(\"webglcontextlost\",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(b.dispose(),t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=c(e,(function(t,e,r){if(!F._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(I=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var u=0;u<i;++u){var c=E[u];if(L[u]===s){var f=c.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=c,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),O=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),O=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],H=[V[0].slice(),V[1].slice()];function q(){if(!U()){N();var t=F.camera.tick();D.view=F.camera.matrix,O=O||t,I=I||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=F.pixelRatio,C.axes=F.axes,O=O||!!C.dirty,I=I||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],c=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],c[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var v=.05*(i[p]-n[p]);n[p]=n[p]-v,i[p]=i[p]+v}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||H[0][p]!==d[0][p]||H[1][p]!==d[1][p],H[0][p]=d[0][p],H[1][p]=d[1][p];if(I=I||y,O=O||y){if(y){var m=[0,0,0];for(o=0;o<3;++o)m[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:m}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(z[0]=T,z[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,u=t.zFar,c=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,u),n._ortho=!0):(f(i,c,p,l,u),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var v=0;for(d=0;d<3;++d)v=Math.max(v,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/v,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(C=E[o]).axesBounds=d,F.clipToBounds&&(C.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),I&&(I=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(D))}i.end()}}}()),F.axesPixels=a(F.axes,D,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(A.enable&&(M=M||A.isTransparent(),A.draw(D)),S.axes=A,x.object&&S.draw(D),r.disable(r.CULL_FACE),o=0;o<e;++o)(C=E[o]).axes=A,C.pixelRatio=F.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(D),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=z,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(D);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(D)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,u(r),r.disable(r.BLEND)}for(O=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(q(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(O=!0,q())},F},createCamera:n}},8023:function(t,e,r){var n=r(6832);e.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),e.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),e.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),e.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},8271:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)u[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(u),i||a.free(l),o||a.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],u=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){\"use strict\";t.exports=function(t){return t||0===t?t.toString():\"\"}},4123:function(t,e,r){\"use strict\";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(u=0;u<s.positions[l].length;++u)s.positions[l][u]/=r;for(l=0;l<c.positions.length;++l)for(u=0;u<c.positions[l].length;++u)c.positions[l][u]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=c.positions.length;for(l=0;l<h;++l){var p=c.positions[l];for(u=0;u<2;++u)f[0][u]=Math.min(f[0][u],p[u]),f[1][u]=Math.max(f[1][u],p[u])}return a[t]=[s,c,f]};var i={}},9282:function(t,e,r){var n=r(5158),i=r(6832),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),u=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){\"use strict\";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=c(a);var o=!0;n(a)&&(a=\"▼\",o=!1);var s=u(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}y.draw=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},y.drawTransparent=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},y.drawPick=function(t){C(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},y.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},y.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n<u.length;++n)i[n]=u[n][0],a[n]=u[n][1];var 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tt=J[K[$]];C[2*I]=V*(q*tt[0]-G*tt[1]+W[0]),C[2*I+1]=V*(G*tt[0]+q*tt[1]+W[1]),I+=1}for(X=A.edges,J=A.positions,T=0;T<X.length;++T)for(K=X[T],$=0;$<2;++$){for(Q=0;Q<3;++Q)E[3*D+Q]=w[Q];for(Q=0;Q<4;++Q)L[4*D+Q]=R[Q];O[D]=m,tt=J[K[$]],C[2*D]=V*(q*tt[0]-G*tt[1]+W[0]),C[2*D+1]=V*(G*tt[0]+q*tt[1]+W[1]),D+=1}}}this.bounds=[c,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(O),o.free(E),o.free(L),o.free(C),o.free(O)},y.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()}},1884:function(t,e,r){\"use strict\";var n=r(6832);e.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid 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float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha 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outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},7307:function(t,e,r){\"use strict\";var n=r(2858),i=r(4020),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,u=t.maxLength||1e3,c=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,l=t[0],u=t[1],c=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=o(a[0],l),v=o(a[1],u),g=o(a[2],c),y=d+1,m=v+1,x=g+1;if(d=s(d,0,f-1),y=s(y,0,f-1),v=s(v,0,h-1),m=s(m,0,h-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||v<0||g<0||y>f-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var D=i[b+w+k],z=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,D,B,P),n.lerp(H,z,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Z=n.create(),Y=n.create();n.lerp(Z,V,q,O),n.lerp(Y,H,G,O);var W=n.create();return n.lerp(W,Z,Y,I),W}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>b||r<m||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;u<s;u++){var c=t[u],f=c[0],h=c[1],p=c[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),v=l(r),g=l(n),y=Math.min(d,v,g);return isFinite(y)?y:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],I=d(C),D=C;O.push(I);var z=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.length<u&&T(C);){B++;var N=n.clone(I),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,u=0;u<l.length;u++)o=Math.max(o,n.length(l[u]));var c=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,u=[],c=[],f=[],h=[],p=[],d=[],v=0,g=0,y=i.create(),m=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,y=i.create(),n.copy(y,_),y[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<c.length;s++){var v=c[s],g=f.length;for(f=f.concat(v.positions),p=p.concat(v.vectors),d=d.concat(v.vertexIntensity),u=0;u<v.cells.length;u++){var y=v.cells[u],m=[];h.push(m);for(var x=0;x<y.length;x++)m.push(y[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*c*M/S),U};var u=r(9578),c=r(1140).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:\"streamtube\"})}},9054:function(t,e,r){var n=r(5158),i=r(6832),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color — in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},3754:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:40,offset:0},{buffer:u,size:3,stride:40,offset:16},{buffer:u,size:3,stride:40,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new M(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var w in t)y[w]=t[w];return y.colormap=y.colormap||\"jet\",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[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 A(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}function M(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new A([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=M.prototype;S.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],L={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function C(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,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=L.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=L.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return L.showSurface=o,L.showContour=s,L}var P={model:w,view:w,projection:w,inverseModel:w.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=w.slice(),I=[1,0,0,0,1,0,0,0,1];function D(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,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=I,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 u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=C(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var v=0;v<this.contourLevels[o].length;++v)v===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==v&&v-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][v]&&(f.uniforms.height=this.contourLevels[o][v],h.draw(r.LINES,this._contourCounts[o][v],this._contourOffsets[o][v]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return D.call(this,t,!1)},S.drawTransparent=function(t){return D.call(this,t,!0)};var z={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=z;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=I;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=C(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var u=0;u<this.contourLevels[a].length;++u)this._contourCounts[a][u]&&(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][m[x]],_=this.contourLevels[x][m[x]+1];Math.abs(b-u[x])>Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var m=this._field,x=f(s.mallocFloat(3*m[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),m[o],\"mirror\");var b=f(s.mallocFloat(3*m[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var _=x.get(0,o,y,0),w=x.get(0,o,y,1),k=x.get(1,o,y,0),A=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=k*S-A*M,L=M*w-S*_,C=_*A-w*k,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,y,0,E*P),b.set(o,y,1,L*P),b.set(o,y,2,C*P)}s.free(x.data);var O=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],D=1/0,z=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+y+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Z=o+T[q][0],Y=y+T[q][1],W=this._field[0].get(Z+1,Y+1),X=this._field[1].get(Z+1,Y+1);G=this._field[2].get(Z+1,Y+1),E=b.get(Z+1,Y+1,0),L=b.get(Z+1,Y+1,1),C=b.get(Z+1,Y+1,2),t.intensity&&(J=t.intensity.get(Z,Y));var J=t.intensity?t.intensity.get(Z,Y):G+this.objectOffset[2];N[j++]=Z,N[j++]=Y,N[j++]=W,N[j++]=X,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=L,N[j++]=C,O[0]=Math.min(O[0],W+this.objectOffset[0]),O[1]=Math.min(O[1],X+this.objectOffset[1]),O[2]=Math.min(O[2],G+this.objectOffset[2]),D=Math.min(D,J),I[0]=Math.max(I[0],W+this.objectOffset[0]),I[1]=Math.max(I[1],X+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),z=Math.max(z,J),U+=1}}for(t.intensityBounds&&(D=+t.intensityBounds[0],z=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-D)/(z-D);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[O,I],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===D&&this.intensityBounds[1]===z||(r=!0),this.intensityBounds=[D,z]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<K[o].length;++y)K[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<K[o].length;++y)if(K[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=K}if(r){m=this._field,a=this.shape;for(var $=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[Q],tt[o]);et.push($.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ut=st-lt,ct=ot[1],ft=0|Math.floor(ct),ht=ct-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var vt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ut:1-ut;for(Z=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var yt=H?ht:1-ht;if(Y=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[vt].get(Z,Y):(this.intensity.get(Z,Y)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var mt=gt*yt;nt[dt]+=mt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<v.length;++e)for(var y=v[e],m=0;m<2;++m){var x=g[y[m]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,O=T*L,I=T*E,D=C*f.get(_,M)+P*f.get(_,S)+O*f.get(w,M)+I*f.get(w,S),z=C*p.get(_,M)+P*p.get(_,S)+O*p.get(w,M)+I*p.get(w,S);if(isNaN(D)||isNaN(z)){m&&(n-=1);break}a[2*n+0]=D,a[2*n+1]=z,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},8931:function(t,e,r){\"use strict\";var n=r(5050),i=r(7498),a=r(5306);t.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");if(o||u(t),\"number\"==typeof arguments[1])return y(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return y(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=c(e)?e:e.raw;if(r)return m(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function u(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}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 f=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 p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function v(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function g(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function y(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new p(t,o,e,r,n,i)}function m(t,e,r,n,i,a){var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new p(t,o,r,n,i,a)}function x(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=v(o,e.stride.slice()),u=0;\"float32\"===r?u=t.FLOAT:\"float64\"===r?(u=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var c,h,d=0;if(2===o.length)d=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])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");d=t.RGBA}}u!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)c=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];h=a.malloc(y,r);var x=n(h,o,m,0);\"float32\"!==r&&\"float64\"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):f(x,e),c=h.subarray(0,y)}var b=g(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,u,c),l||a.free(h),new p(t,b,o[0],o[1],d,u)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(\"gl-texture2d: Invalid texture shape\")}else t=[0|t,0|t];return h(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return h(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,h(this,this._shape[0],t),t}}}),d.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},d.dispose=function(){this.gl.deleteTexture(this.handle)},d.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},d.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=c(t)?t:t.raw;if(l)this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l);else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,u,c){var h=c.dtype,p=c.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var d=0,g=0,y=v(p,c.stride.slice());if(\"float32\"===h?d=t.FLOAT:\"float64\"===h?(d=t.FLOAT,y=!1,h=\"float32\"):\"uint8\"===h?d=t.UNSIGNED_BYTE:(d=t.UNSIGNED_BYTE,y=!1,h=\"uint8\"),2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],c=n(c.data,p,[c.stride[0],c.stride[1],1],c.offset);else{if(3!==p.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===p[2])g=t.ALPHA;else if(2===p[2])g=t.LUMINANCE_ALPHA;else if(3===p[2])g=t.RGB;else{if(4!==p[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}p[2]}if(g!==t.LUMINANCE&&g!==t.ALPHA||s!==t.LUMINANCE&&s!==t.ALPHA||(g=s),g!==s)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var m=c.size,x=u.indexOf(o)<0;if(x&&u.push(o),d===l&&y)0===c.offset&&c.data.length===m?x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,c.data):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,c.data):x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,c.data.subarray(c.offset,c.offset+m)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,c.data.subarray(c.offset,c.offset+m));else{var b;b=l===t.FLOAT?a.mallocFloat32(m):a.mallocUint8(m);var _=n(b,p,[p[2],p[2]*p[0],1]);d===t.FLOAT&&l===t.UNSIGNED_BYTE?f(_,c):i.assign(_,c),x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,b.subarray(0,m)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,b.subarray(0,m)),l===t.FLOAT?a.freeFloat32(b):a.freeUint8(b)}}(s,e,r,o,this.format,this.type,this._mipLevels,t)}}},3056:function(t){\"use strict\";t.exports=function(t,e,r){e?e.bind():t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null);var n=0|t.getParameter(t.MAX_VERTEX_ATTRIBS);if(r){if(r.length>n)throw new Error(\"gl-vao: Too many vertex attributes\");for(var i=0;i<r.length;++i){var a=r[i];if(a.buffer){var o=a.buffer,s=a.size||4,l=a.type||t.FLOAT,u=!!a.normalized,c=a.stride||0,f=a.offset||0;o.bind(),t.enableVertexAttribArray(i),t.vertexAttribPointer(i,s,l,u,c,f)}else{if(\"number\"==typeof a)t.vertexAttrib1f(i,a);else if(1===a.length)t.vertexAttrib1f(i,a[0]);else if(2===a.length)t.vertexAttrib2f(i,a[0],a[1]);else if(3===a.length)t.vertexAttrib3f(i,a[0],a[1],a[2]);else{if(4!==a.length)throw new Error(\"gl-vao: Invalid vertex attribute\");t.vertexAttrib4f(i,a[0],a[1],a[2],a[3])}t.disableVertexAttribArray(i)}}for(;i<n;++i)t.disableVertexAttribArray(i)}else for(t.bindBuffer(t.ARRAY_BUFFER,null),i=0;i<n;++i)t.disableVertexAttribArray(i)}},7220:function(t,e,r){\"use strict\";var n=r(3056);function 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strict\";t.exports=function(t,e,r,n,i,a,o,s,l,u){var c=e+a+u;if(f>0){var f=Math.sqrt(c+1);t[0]=.5*(o-l)/f,t[1]=.5*(s-n)/f,t[2]=.5*(r-a)/f,t[3]=.5*f}else{var h=Math.max(e,a,u);f=Math.sqrt(2*h-c+1),e>=h?(t[0]=.5*f,t[1]=.5*(i+r)/f,t[2]=.5*(s+n)/f,t[3]=.5*(o-l)/f):a>=h?(t[0]=.5*(r+i)/f,t[1]=.5*f,t[2]=.5*(l+o)/f,t[3]=.5*(s-n)/f):(t[0]=.5*(n+s)/f,t[1]=.5*(o+l)/f,t[2]=.5*f,t[3]=.5*(r-i)/f)}return t}},7774:function(t,e,r){\"use strict\";t.exports=function(t){var e=(t=t||{}).center||[0,0,0],r=t.rotation||[0,0,0,1],n=t.radius||1;e=[].slice.call(e,0,3),c(r=[].slice.call(r,0,4),r);var i=new f(r,e,Math.log(n));return i.setDistanceLimits(t.zoomMin,t.zoomMax),(\"eye\"in t||\"up\"in t)&&i.lookAt(0,t.eye,t.center,t.up),i};var n=r(8444),i=r(3012),a=r(5950),o=r(7437),s=r(567);function l(t,e,r){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2))}function u(t,e,r,n){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2)+Math.pow(n,2))}function c(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=u(r,n,i,a);o>1e-6?(t[0]=r/o,t[1]=n/o,t[2]=i/o,t[3]=a/o):(t[0]=t[1]=t[2]=0,t[3]=1)}function f(t,e,r){this.radius=n([r]),this.center=n(e),this.rotation=n(t),this.computedRadius=this.radius.curve(0),this.computedCenter=this.center.curve(0),this.computedRotation=this.rotation.curve(0),this.computedUp=[.1,0,0],this.computedEye=[.1,0,0],this.computedMatrix=[.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],this.recalcMatrix(0)}var h=f.prototype;h.lastT=function(){return Math.max(this.radius.lastT(),this.center.lastT(),this.rotation.lastT())},h.recalcMatrix=function(t){this.radius.curve(t),this.center.curve(t),this.rotation.curve(t);var e=this.computedRotation;c(e,e);var r=this.computedMatrix;a(r,e);var n=this.computedCenter,i=this.computedEye,o=this.computedUp,s=Math.exp(this.computedRadius[0]);i[0]=n[0]+s*r[2],i[1]=n[1]+s*r[6],i[2]=n[2]+s*r[10],o[0]=r[1],o[1]=r[5],o[2]=r[9];for(var l=0;l<3;++l){for(var 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t[0]=x*n+b*s+_*f+w*v,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*u+_*p+w*y,t[3]=x*o+b*c+_*d+w*m,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*v,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*u+_*p+w*y,t[7]=x*o+b*c+_*d+w*m,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*v,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*u+_*p+w*y,t[11]=x*o+b*c+_*d+w*m,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*v,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*u+_*p+w*y,t[15]=x*o+b*c+_*d+w*m,t}},60378:function(t){t.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t}},7864:function(t){t.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},35279:function(t){t.exports=function(t,e,r,n){var 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Math.abs(P)<1e-6?null:(E*=P=1/P,L*=P,C*=P,i=Math.sin(r),o=1-(a=Math.cos(r)),s=e[0],l=e[1],u=e[2],c=e[3],f=e[4],h=e[5],p=e[6],d=e[7],v=e[8],g=e[9],y=e[10],m=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+v*_,t[1]=l*x+h*b+g*_,t[2]=u*x+p*b+y*_,t[3]=c*x+d*b+m*_,t[4]=s*w+f*T+v*k,t[5]=l*w+h*T+g*k,t[6]=u*w+p*T+y*k,t[7]=c*w+d*T+m*k,t[8]=s*A+f*M+v*S,t[9]=l*A+h*M+g*S,t[10]=u*A+p*M+y*S,t[11]=c*A+d*M+m*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)}},35545:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],u=e[8],c=e[9],f=e[10],h=e[11];return e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[4]=a*i+u*n,t[5]=o*i+c*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=u*i-a*n,t[9]=c*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},94918:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],f=e[10],h=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},15692:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],f=e[6],h=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},10789:function(t){t.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},6726:function(t){t.exports=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"}},31283:function(t){t.exports=function(t,e,r){var n,i,a,o,s,l,u,c,f,h,p,d,v=r[0],g=r[1],y=r[2];return e===t?(t[12]=e[0]*v+e[4]*g+e[8]*y+e[12],t[13]=e[1]*v+e[5]*g+e[9]*y+e[13],t[14]=e[2]*v+e[6]*g+e[10]*y+e[14],t[15]=e[3]*v+e[7]*g+e[11]*y+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*v+s*g+f*y+e[12],t[13]=i*v+l*g+h*y+e[13],t[14]=a*v+u*g+p*y+e[14],t[15]=o*v+c*g+d*y+e[15]),t}},88654:function(t){t.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},42505:function(t,e,r){\"use strict\";var n=r(72791),i=r(71299),a=r(98580),o=r(12018),s=r(83522),l=r(25075),u=r(68016),c=r(58404),f=r(18863),h=r(10973),p=r(25677),d=r(75686),v=r(53545),g=r(56131),y=r(32879),m=r(30120),x=r(13547).nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst 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float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 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return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof 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Math.atan2(this.y-t.y,this.x-t.x)},angleWith:function(t){return this.angleWithSep(t.x,t.y)},angleWithSep:function(t,e){return Math.atan2(this.x*e-this.y*t,this.x*t+this.y*e)},_matMult:function(t){var e=t[0]*this.x+t[1]*this.y,r=t[2]*this.x+t[3]*this.y;return this.x=e,this.y=r,this},_add:function(t){return this.x+=t.x,this.y+=t.y,this},_sub:function(t){return this.x-=t.x,this.y-=t.y,this},_mult:function(t){return this.x*=t,this.y*=t,this},_div:function(t){return this.x/=t,this.y/=t,this},_multByPoint:function(t){return this.x*=t.x,this.y*=t.y,this},_divByPoint:function(t){return this.x/=t.x,this.y/=t.y,this},_unit:function(){return this._div(this.mag()),this},_perp:function(){var t=this.y;return this.y=this.x,this.x=-t,this},_rotate:function(t){var e=Math.cos(t),r=Math.sin(t),n=e*this.x-r*this.y,i=r*this.x+e*this.y;return this.x=n,this.y=i,this},_rotateAround:function(t,e){var r=Math.cos(t),n=Math.sin(t),i=e.x+r*(this.x-e.x)-n*(this.y-e.y),a=e.y+n*(this.x-e.x)+r*(this.y-e.y);return 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r.width=t.width,r.height=t.height,n.drawImage(t,0,0,t.width,t.height),n.getImageData(-e,-e,t.width+2*e,t.height+2*e)},resolveURL:function(t){return C||(C=self.document.createElement(\"a\")),C.href=t,C.href},hardwareConcurrency:self.navigator.hardwareConcurrency||4,get devicePixelRatio(){return self.devicePixelRatio},get prefersReducedMotion(){return!!self.matchMedia&&(null==P&&(P=self.matchMedia(\"(prefers-reduced-motion: reduce)\")),P.matches)}},B={API_URL:\"https://api.mapbox.com\",get EVENTS_URL(){return this.API_URL?0===this.API_URL.indexOf(\"https://api.mapbox.cn\")?\"https://events.mapbox.cn/events/v2\":0===this.API_URL.indexOf(\"https://api.mapbox.com\")?\"https://events.mapbox.com/events/v2\":null:null},FEEDBACK_URL:\"https://apps.mapbox.com/feedback\",REQUIRE_ACCESS_TOKEN:!0,ACCESS_TOKEN:null,MAX_PARALLEL_IMAGE_REQUESTS:16},N={supported:!1,testSupport:function(t){!j&&I&&(U?V(t):O=t)}},j=!1,U=!1;function V(t){var 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Date.now()>this._skuTokenExpiresAt},q.prototype.transformRequest=function(t,e){return this._transformRequestFn&&this._transformRequestFn(t,e)||{url:t}},q.prototype.normalizeStyleURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/styles/v1\"+r.path,this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeGlyphsURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/fonts/v1\"+r.path,this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeSourceURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/v4/\"+r.authority+\".json\",r.params.push(\"secure\"),this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeSpriteURL=function(t,e,r,n){var i=X(t);return G(t)?(i.path=\"/styles/v1\"+i.path+\"/sprite\"+e+r,this._makeAPIURL(i,this._customAccessToken||n)):(i.path+=\"\"+e+r,J(i))},q.prototype.normalizeTileURL=function(t,e){if(this._isSkuTokenExpired()&&this._createSkuToken(),t&&!G(t))return t;var r=X(t),n=F.devicePixelRatio>=2||512===e?\"@2x\":\"\",i=N.supported?\".webp\":\"$1\";r.path=r.path.replace(/(\\.(png|jpg)\\d*)(?=$)/,\"\"+n+i),r.path=r.path.replace(/^.+\\/v4\\//,\"/\"),r.path=\"/v4\"+r.path;var a=this._customAccessToken||function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e].match(/^access_token=(.*)$/);if(n)return n[1]}return null}(r.params)||B.ACCESS_TOKEN;return B.REQUIRE_ACCESS_TOKEN&&a&&this._skuToken&&r.params.push(\"sku=\"+this._skuToken),this._makeAPIURL(r,a)},q.prototype.canonicalizeTileURL=function(t,e){var r=X(t);if(!r.path.match(/(^\\/v4\\/)/)||!r.path.match(/\\.[\\w]+$/))return t;var n=\"mapbox://tiles/\";n+=r.path.replace(\"/v4/\",\"\");var i=r.params;return e&&(i=i.filter((function(t){return!t.match(/^access_token=/)}))),i.length&&(n+=\"?\"+i.join(\"&\")),n},q.prototype.canonicalizeTileset=function(t,e){for(var r=!!e&&G(e),n=[],i=0,a=t.tiles||[];i<a.length;i+=1){var o=a[i];Y(o)?n.push(this.canonicalizeTileURL(o,r)):n.push(o)}return n},q.prototype._makeAPIURL=function(t,e){var r=\"See https://www.mapbox.com/api-documentation/#access-tokens-and-token-scopes\",n=X(B.API_URL);if(t.protocol=n.protocol,t.authority=n.authority,\"/\"!==n.path&&(t.path=\"\"+n.path+t.path),!B.REQUIRE_ACCESS_TOKEN)return J(t);if(!(e=e||B.ACCESS_TOKEN))throw new Error(\"An API access token is required to use Mapbox GL. \"+r);if(\"s\"===e[0])throw new Error(\"Use a public access token (pk.*) with Mapbox GL, not a secret access token (sk.*). \"+r);return t.params=t.params.filter((function(t){return-1===t.indexOf(\"access_token\")})),t.params.push(\"access_token=\"+e),J(t)};var Z=/^((https?:)?\\/\\/)?([^\\/]+\\.)?mapbox\\.c(n|om)(\\/|\\?|$)/i;function Y(t){return Z.test(t)}var W=/^(\\w+):\\/\\/([^/?]*)(\\/[^?]+)?\\??(.+)?/;function X(t){var e=t.match(W);if(!e)throw new Error(\"Unable to parse URL object\");return{protocol:e[1],authority:e[2],path:e[3]||\"/\",params:e[4]?e[4].split(\"&\"):[]}}function J(t){var e=t.params.length?\"?\"+t.params.join(\"&\"):\"\";return t.protocol+\"://\"+t.authority+t.path+e}var K=\"mapbox.eventData\";function $(t){if(!t)return null;var e,r=t.split(\".\");if(!r||3!==r.length)return null;try{return JSON.parse((e=r[1],decodeURIComponent(self.atob(e).split(\"\").map((function(t){return\"%\"+(\"00\"+t.charCodeAt(0).toString(16)).slice(-2)})).join(\"\"))))}catch(t){return null}}var Q=function(t){this.type=t,this.anonId=null,this.eventData={},this.queue=[],this.pendingRequest=null};Q.prototype.getStorageKey=function(t){var e,r,n=$(B.ACCESS_TOKEN);return e=n&&n.u?(r=n.u,self.btoa(encodeURIComponent(r).replace(/%([0-9A-F]{2})/g,(function(t,e){return String.fromCharCode(Number(\"0x\"+e))})))):B.ACCESS_TOKEN||\"\",t?K+\".\"+t+\":\"+e:K+\":\"+e},Q.prototype.fetchEventData=function(){var t=L(\"localStorage\"),e=this.getStorageKey(),r=this.getStorageKey(\"uuid\");if(t)try{var n=self.localStorage.getItem(e);n&&(this.eventData=JSON.parse(n));var 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r=this.queue.shift(),n=r.id,i=r.timestamp;n&&this.success[n]||(this.anonId||this.fetchEventData(),v(this.anonId)||(this.anonId=d()),this.postEvent(i,{skuToken:this.skuToken},(function(t){t||n&&(e.success[n]=!0)}),t))}},e}(Q),nt=function(t){function e(e){t.call(this,\"appUserTurnstile\"),this._customAccessToken=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.postTurnstileEvent=function(t,e){B.EVENTS_URL&&B.ACCESS_TOKEN&&Array.isArray(t)&&t.some((function(t){return G(t)||Y(t)}))&&this.queueRequest(Date.now(),e)},e.prototype.processRequests=function(t){var e=this;if(!this.pendingRequest&&0!==this.queue.length){this.anonId&&this.eventData.lastSuccess&&this.eventData.tokenU||this.fetchEventData();var r=$(B.ACCESS_TOKEN),n=r?r.u:B.ACCESS_TOKEN,i=n!==this.eventData.tokenU;v(this.anonId)||(this.anonId=d(),i=!0);var a=this.queue.shift();if(this.eventData.lastSuccess){var o=new Date(this.eventData.lastSuccess),s=new 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n(t){return(t=Math.round(t))<0?0:t>255?255:t}function i(t){return t<0?0:t>1?1:t}function a(t){return\"%\"===t[t.length-1]?n(parseFloat(t)/100*255):n(parseInt(t))}function o(t){return\"%\"===t[t.length-1]?i(parseFloat(t)/100):i(parseFloat(t))}function s(t,e,r){return r<0?r+=1:r>1&&(r-=1),6*r<1?t+(e-t)*r*6:2*r<1?e:3*r<2?t+(e-t)*(2/3-r)*6:t}try{e.parseCSSColor=function(t){var e,i=t.replace(/ /g,\"\").toLowerCase();if(i in r)return r[i].slice();if(\"#\"===i[0])return 4===i.length?(e=parseInt(i.substr(1),16))>=0&&e<=4095?[(3840&e)>>4|(3840&e)>>8,240&e|(240&e)>>4,15&e|(15&e)<<4,1]:null:7===i.length&&(e=parseInt(i.substr(1),16))>=0&&e<=16777215?[(16711680&e)>>16,(65280&e)>>8,255&e,1]:null;var l=i.indexOf(\"(\"),u=i.indexOf(\")\");if(-1!==l&&u+1===i.length){var c=i.substr(0,l),f=i.substr(l+1,u-(l+1)).split(\",\"),h=1;switch(c){case\"rgba\":if(4!==f.length)return null;h=o(f.pop());case\"rgb\":return 3!==f.length?null:[a(f[0]),a(f[1]),a(f[2]),h];case\"hsla\":if(4!==f.length)return 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oe=function(t,e,r){this.sensitivity=t?e?\"variant\":\"case\":e?\"accent\":\"base\",this.locale=r,this.collator=new Intl.Collator(this.locale?this.locale:[],{sensitivity:this.sensitivity,usage:\"search\"})};oe.prototype.compare=function(t,e){return this.collator.compare(t,e)},oe.prototype.resolvedLocale=function(){return new Intl.Collator(this.locale?this.locale:[]).resolvedOptions().locale};var se=function(t,e,r,n,i){this.text=t,this.image=e,this.scale=r,this.fontStack=n,this.textColor=i},le=function(t){this.sections=t};le.fromString=function(t){return new le([new se(t,null,null,null,null)])},le.prototype.isEmpty=function(){return 0===this.sections.length||!this.sections.some((function(t){return 0!==t.text.length||t.image&&0!==t.image.name.length}))},le.factory=function(t){return t instanceof le?t:le.fromString(t)},le.prototype.toString=function(){return 0===this.sections.length?\"\":this.sections.map((function(t){return t.text})).join(\"\")},le.prototype.serialize=function(){for(var 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de=function(t,e){this.type=t,this.value=e};de.parse=function(t,e){if(2!==t.length)return e.error(\"'literal' expression requires exactly one argument, but found \"+(t.length-1)+\" instead.\");if(!fe(t[1]))return e.error(\"invalid value\");var r=t[1],n=he(r),i=e.expectedType;return\"array\"!==n.kind||0!==n.N||!i||\"array\"!==i.kind||\"number\"==typeof i.N&&0!==i.N||(n=i),new de(n,r)},de.prototype.evaluate=function(){return this.value},de.prototype.eachChild=function(){},de.prototype.outputDefined=function(){return!0},de.prototype.serialize=function(){return\"array\"===this.type.kind||\"object\"===this.type.kind?[\"literal\",this.value]:this.value instanceof ae?[\"rgba\"].concat(this.value.toArray()):this.value instanceof le?this.value.serialize():this.value};var ve=function(t){this.name=\"ExpressionEvaluationError\",this.message=t};ve.prototype.toJSON=function(){return this.message};var ge={string:Ht,number:Vt,boolean:qt,object:Zt},ye=function(t,e){this.type=t,this.args=e};ye.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r,n=1,i=t[0];if(\"array\"===i){var a,o;if(t.length>2){var s=t[1];if(\"string\"!=typeof s||!(s in ge)||\"object\"===s)return e.error('The item type argument of \"array\" must be one of string, number, boolean',1);a=ge[s],n++}else a=Yt;if(t.length>3){if(null!==t[2]&&(\"number\"!=typeof t[2]||t[2]<0||t[2]!==Math.floor(t[2])))return e.error('The length argument to \"array\" must be a positive integer literal',2);o=t[2],n++}r=Kt(a,o)}else r=ge[i];for(var l=[];n<t.length;n++){var u=e.parse(t[n],n,Yt);if(!u)return null;l.push(u)}return new ye(r,l)},ye.prototype.evaluate=function(t){for(var e=0;e<this.args.length;e++){var r=this.args[e].evaluate(t);if(!te(this.type,he(r)))return r;if(e===this.args.length-1)throw new ve(\"Expected value to be of type \"+$t(this.type)+\", but found \"+$t(he(r))+\" instead.\")}return null},ye.prototype.eachChild=function(t){this.args.forEach(t)},ye.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},ye.prototype.serialize=function(){var t=this.type,e=[t.kind];if(\"array\"===t.kind){var r=t.itemType;if(\"string\"===r.kind||\"number\"===r.kind||\"boolean\"===r.kind){e.push(r.kind);var n=t.N;(\"number\"==typeof n||this.args.length>1)&&e.push(n)}}return e.concat(this.args.map((function(t){return t.serialize()})))};var me=function(t){this.type=Xt,this.sections=t};me.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r=t[1];if(!Array.isArray(r)&&\"object\"==typeof r)return e.error(\"First argument must be an image or text section.\");for(var n=[],i=!1,a=1;a<=t.length-1;++a){var o=t[a];if(i&&\"object\"==typeof o&&!Array.isArray(o)){i=!1;var s=null;if(o[\"font-scale\"]&&!(s=e.parse(o[\"font-scale\"],1,Vt)))return null;var l=null;if(o[\"text-font\"]&&!(l=e.parse(o[\"text-font\"],1,Kt(Ht))))return null;var u=null;if(o[\"text-color\"]&&!(u=e.parse(o[\"text-color\"],1,Gt)))return null;var c=n[n.length-1];c.scale=s,c.font=l,c.textColor=u}else{var f=e.parse(t[a],1,Yt);if(!f)return null;var h=f.type.kind;if(\"string\"!==h&&\"value\"!==h&&\"null\"!==h&&\"resolvedImage\"!==h)return e.error(\"Formatted text type must be 'string', 'value', 'image' or 'null'.\");i=!0,n.push({content:f,scale:null,font:null,textColor:null})}}return new me(n)},me.prototype.evaluate=function(t){return new le(this.sections.map((function(e){var r=e.content.evaluate(t);return he(r)===Jt?new se(\"\",r,null,null,null):new se(pe(r),null,e.scale?e.scale.evaluate(t):null,e.font?e.font.evaluate(t).join(\",\"):null,e.textColor?e.textColor.evaluate(t):null)})))},me.prototype.eachChild=function(t){for(var e=0,r=this.sections;e<r.length;e+=1){var n=r[e];t(n.content),n.scale&&t(n.scale),n.font&&t(n.font),n.textColor&&t(n.textColor)}},me.prototype.outputDefined=function(){return!1},me.prototype.serialize=function(){for(var t=[\"format\"],e=0,r=this.sections;e<r.length;e+=1){var n=r[e];t.push(n.content.serialize());var i={};n.scale&&(i[\"font-scale\"]=n.scale.serialize()),n.font&&(i[\"text-font\"]=n.font.serialize()),n.textColor&&(i[\"text-color\"]=n.textColor.serialize()),t.push(i)}return t};var xe=function(t){this.type=Jt,this.input=t};xe.parse=function(t,e){if(2!==t.length)return e.error(\"Expected two arguments.\");var r=e.parse(t[1],1,Ht);return r?new xe(r):e.error(\"No image name provided.\")},xe.prototype.evaluate=function(t){var e=this.input.evaluate(t),r=ue.fromString(e);return r&&t.availableImages&&(r.available=t.availableImages.indexOf(e)>-1),r},xe.prototype.eachChild=function(t){t(this.input)},xe.prototype.outputDefined=function(){return!1},xe.prototype.serialize=function(){return[\"image\",this.input.serialize()]};var be={\"to-boolean\":qt,\"to-color\":Gt,\"to-number\":Vt,\"to-string\":Ht},_e=function(t,e){this.type=t,this.args=e};_e.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r=t[0];if((\"to-boolean\"===r||\"to-string\"===r)&&2!==t.length)return e.error(\"Expected one argument.\");for(var n=be[r],i=[],a=1;a<t.length;a++){var o=e.parse(t[a],a,Yt);if(!o)return null;i.push(o)}return new _e(n,i)},_e.prototype.evaluate=function(t){if(\"boolean\"===this.type.kind)return Boolean(this.args[0].evaluate(t));if(\"color\"===this.type.kind){for(var e,r,n=0,i=this.args;n<i.length;n+=1){if(r=null,(e=i[n].evaluate(t))instanceof ae)return e;if(\"string\"==typeof e){var a=t.parseColor(e);if(a)return a}else if(Array.isArray(e)&&!(r=e.length<3||e.length>4?\"Invalid rbga value \"+JSON.stringify(e)+\": expected an array containing either three or four numeric values.\":ce(e[0],e[1],e[2],e[3])))return new ae(e[0]/255,e[1]/255,e[2]/255,e[3])}throw new ve(r||\"Could not parse 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xr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};xr.prototype.evaluate=function(t){return this.result.evaluate(t)},xr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1)t(r[e][1]);t(this.result)},xr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new xr(r,o):null},xr.prototype.outputDefined=function(){return this.result.outputDefined()},xr.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return 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_r=function(t,e){this.type=qt,this.needle=t,this.haystack=e};_r.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Yt),n=e.parse(t[2],2,Yt);return r&&n?ee(r.type,[qt,Ht,Vt,Ut,Yt])?new _r(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+$t(r.type)+\" instead\"):null},_r.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!re(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ve(\"Expected first argument to be of type boolean, string, number or null, but found \"+$t(he(e))+\" instead.\");if(!re(r,[\"string\",\"array\"]))throw new ve(\"Expected second argument to be of type array or string, but found \"+$t(he(r))+\" instead.\");return 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e=e.concat(hn({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Yr(r)&&0===r.length&&e.push(new Dt(t.key,r,\"array must have at least one stop\")),e},default:function(t){return Bn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&c.push(new Dt(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||c.push(new Dt(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!Zr(t.valueSpec)&&c.push(new Dt(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!qr(t.valueSpec)?c.push(new Dt(t.key,t.value,\"property functions not supported\")):s&&!Gr(t.valueSpec)&&c.push(new Dt(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!u||void 0!==t.value.property||c.push(new Dt(t.key,t.value,'\"property\" property is required')),c;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Yr(a))return[new Dt(s,a,\"array expected, \"+Yr(a)+\" found\")];if(2!==a.length)return[new Dt(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(u){if(\"object\"!==Yr(a[0]))return[new Dt(s,a,\"object expected, \"+Yr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Dt(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Dt(s,a,\"object stop key must have value\")];if(n&&n>Ft(a[0].zoom))return[new Dt(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ft(a[0].zoom)!==n&&(n=Ft(a[0].zoom),r=void 0,o={}),e=e.concat(fn({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:pn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return nn(Bt(a[1]))?e.concat([new Dt(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(Bn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Yr(t.value),l=Ft(t.value),u=null!==t.value?t.value:n;if(e){if(s!==e)return[new Dt(t.key,u,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Dt(t.key,u,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var c=\"number expected, \"+s+\" found\";return qr(i)&&void 0===a&&(c+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Dt(t.key,u,c)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Dt(t.key,u,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Dt(t.key,u,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Dt(t.key,u,\"integer expected, found 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mn={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function xn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};yn(t)||(t=wn(t));var e=an(t,mn);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:_n(t)}}function bn(t,e){return t<e?-1:t>e?1:0}function _n(t){if(!Array.isArray(t))return!1;if(\"within\"===t[0])return!0;for(var e=1;e<t.length;e++)if(_n(t[e]))return!0;return!1}function wn(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?Tn(t[1],t[2],\"==\"):\"!=\"===r?Mn(Tn(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Tn(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(wn))):\"all\"===r?[\"all\"].concat(t.slice(1).map(wn)):\"none\"===r?[\"all\"].concat(t.slice(1).map(wn).map(Mn)):\"in\"===r?kn(t[1],t.slice(2)):\"!in\"===r?Mn(kn(t[1],t.slice(2))):\"has\"===r?An(t[1]):\"!has\"===r?Mn(An(t[1])):\"within\"!==r||t}function Tn(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function kn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(bn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function 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found\"));for(var o=2;o<e.length;o++)n=Yr(e[o]),\"$type\"===Ft(e[1])?a=a.concat(gn({key:r+\"[\"+o+\"]\",value:e[o],valueSpec:i.geometry_type,style:t.style,styleSpec:t.styleSpec})):\"string\"!==n&&\"number\"!==n&&\"boolean\"!==n&&a.push(new Dt(r+\"[\"+o+\"]\",e[o],\"string, number, or boolean expected, \"+n+\" found\"));break;case\"any\":case\"all\":case\"none\":for(var s=1;s<e.length;s++)a=a.concat(En({key:r+\"[\"+s+\"]\",value:e[s],style:t.style,styleSpec:t.styleSpec}));break;case\"has\":case\"!has\":n=Yr(e[1]),2!==e.length?a.push(new Dt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"string\"!==n&&a.push(new Dt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));break;case\"within\":n=Yr(e[1]),2!==e.length?a.push(new Dt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"object\"!==n&&a.push(new Dt(r+\"[1]\",e[1],\"object expected, \"+n+\" found\"))}return a}function Ln(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Bn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var u,c=t.valueSpec||s[o];if(!c)return[new Dt(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Yr(a)&&qr(c)&&!c.tokens&&(u=/^{([^}]+)}$/.exec(a)))return[new Dt(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(u[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new Dt(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Wr(Bt(a))&&\"identity\"===Ft(a.type)&&f.push(new Dt(r,a,'\"text-font\" does not support identity 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h=i.sources&&i.sources[r.source],p=h&&Ft(h.type);h?\"vector\"===p&&\"raster\"===s?e.push(new Dt(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new Dt(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new Dt(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&h.lineMetrics||e.push(new Dt(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new Dt(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new Dt(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new Dt(n,r,'missing required property \"source\"'));return e=e.concat(fn({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(){return[]},type:function(){return Bn({key:n+\".type\",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:\"type\"})},filter:Sn,layout:function(t){return fn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return Pn(Rt({layerType:s},t))}}})},paint:function(t){return fn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return Cn(Rt({layerType:s},t))}}})}}})),e}function In(t){var e=t.value,r=t.key,n=Yr(e);return\"string\"!==n?[new Dt(r,e,\"string expected, \"+n+\" found\")]:[]}var Dn={promoteId:function(t){var e=t.key,r=t.value;if(\"string\"===Yr(r))return In({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,In({key:e+\".\"+i,value:r[i]}));return n}};function zn(t){var e=t.value,r=t.key,n=t.styleSpec,i=t.style;if(!e.type)return[new Dt(r,e,'\"type\" is required')];var a,o=Ft(e.type);switch(o){case\"vector\":case\"raster\":case\"raster-dem\":return fn({key:r,value:e,valueSpec:n[\"source_\"+o.replace(\"-\",\"_\")],style:t.style,styleSpec:n,objectElementValidators:Dn});case\"geojson\":if(a=fn({key:r,value:e,valueSpec:n.source_geojson,style:i,styleSpec:n,objectElementValidators:Dn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],u=l[0],c=l[1],f=\"string\"==typeof u?[u,[\"accumulated\"],[\"get\",s]]:u;a.push.apply(a,vn({key:r+\".\"+s+\".map\",value:c,expressionContext:\"cluster-map\"})),a.push.apply(a,vn({key:r+\".\"+s+\".reduce\",value:f,expressionContext:\"cluster-reduce\"}))}return a;case\"video\":return fn({key:r,value:e,valueSpec:n.source_video,style:i,styleSpec:n});case\"image\":return fn({key:r,value:e,valueSpec:n.source_image,style:i,styleSpec:n});case\"canvas\":return[new Dt(r,null,\"Please use runtime APIs to add canvas 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r=r.concat(Bn({key:\"\",value:t,valueSpec:e.$root,styleSpec:e,style:t,objectElementValidators:{glyphs:Nn,\"*\":function(){return[]}}})),t.constants&&(r=r.concat(zt({key:\"constants\",value:t.constants,style:t,styleSpec:e}))),Un(r)}function Un(t){return[].concat(t).sort((function(t,e){return t.line-e.line}))}function Vn(t){return function(){for(var e=[],r=arguments.length;r--;)e[r]=arguments[r];return Un(t.apply(this,e))}}jn.source=Vn(zn),jn.light=Vn(Rn),jn.layer=Vn(On),jn.filter=Vn(Sn),jn.paintProperty=Vn(Cn),jn.layoutProperty=Vn(Pn);var Hn=jn,qn=Hn.light,Gn=Hn.paintProperty,Zn=Hn.layoutProperty;function Yn(t,e){var r=!1;if(e&&e.length)for(var n=0,i=e;n<i.length;n+=1){var a=i[n];t.fire(new Pt(new Error(a.message))),r=!0}return r}var Wn=Xn;function Xn(t,e,r){var n=this.cells=[];if(t instanceof ArrayBuffer){this.arrayBuffer=t;var i=new Int32Array(this.arrayBuffer);t=i[0],e=i[1],r=i[2],this.d=e+2*r;for(var a=0;a<this.d*this.d;a++){var o=i[3+a],s=i[3+a+1];n.push(o===s?null:i.subarray(o,s))}var l=i[3+n.length],u=i[3+n.length+1];this.keys=i.subarray(l,u),this.bboxes=i.subarray(u),this.insert=this._insertReadonly}else{this.d=e+2*r;for(var c=0;c<this.d*this.d;c++)n.push([]);this.keys=[],this.bboxes=[]}this.n=e,this.extent=t,this.padding=r,this.scale=e/t,this.uid=0;var f=r/e*t;this.min=-f,this.max=t+f}Xn.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertCell,this.uid++),this.keys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Xn.prototype._insertReadonly=function(){throw\"Cannot insert into a GridIndex created from an ArrayBuffer.\"},Xn.prototype._insertCell=function(t,e,r,n,i,a){this.cells[i].push(a)},Xn.prototype.query=function(t,e,r,n,i){var a=this.min,o=this.max;if(t<=a&&e<=a&&o<=r&&o<=n&&!i)return Array.prototype.slice.call(this.keys);var s=[];return this._forEachCell(t,e,r,n,this._queryCell,s,{},i),s},Xn.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=this.cells[i];if(null!==l)for(var u=this.keys,c=this.bboxes,f=0;f<l.length;f++){var h=l[f];if(void 0===o[h]){var p=4*h;(s?s(c[p+0],c[p+1],c[p+2],c[p+3]):t<=c[p+2]&&e<=c[p+3]&&r>=c[p+0]&&n>=c[p+1])?(o[h]=!0,a.push(u[h])):o[h]=!1}}},Xn.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToCellCoord(t),u=this._convertToCellCoord(e),c=this._convertToCellCoord(r),f=this._convertToCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.d*p+h;if((!s||s(this._convertFromCellCoord(h),this._convertFromCellCoord(p),this._convertFromCellCoord(h+1),this._convertFromCellCoord(p+1)))&&i.call(this,t,e,r,n,d,a,o,s))return}},Xn.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},Xn.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},Xn.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=3+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var i=new Int32Array(e+r+this.keys.length+this.bboxes.length);i[0]=this.extent,i[1]=this.n,i[2]=this.padding;for(var a=e,o=0;o<t.length;o++){var s=t[o];i[3+o]=a,i.set(s,a),a+=s.length}return i[3+t.length]=a,i.set(this.keys,a),a+=this.keys.length,i[3+t.length+1]=a,i.set(this.bboxes,a),a+=this.bboxes.length,i.buffer};var Jn=self.ImageData,Kn=self.ImageBitmap,$n={};function Qn(t,e,r){void 0===r&&(r={}),Object.defineProperty(e,\"_classRegistryKey\",{value:t,writeable:!1}),$n[t]={klass:e,omit:r.omit||[],shallow:r.shallow||[]}}for(var ti in Qn(\"Object\",Object),Wn.serialize=function(t,e){var r=t.toArrayBuffer();return e&&e.push(r),{buffer:r}},Wn.deserialize=function(t){return new Wn(t.buffer)},Qn(\"Grid\",Wn),Qn(\"Color\",ae),Qn(\"Error\",Error),Qn(\"ResolvedImage\",ue),Qn(\"StylePropertyFunction\",un),Qn(\"StyleExpression\",rn,{omit:[\"_evaluator\"]}),Qn(\"ZoomDependentExpression\",sn),Qn(\"ZoomConstantExpression\",on),Qn(\"CompoundExpression\",ke,{omit:[\"_evaluate\"]}),Fr)Fr[ti]._classRegistryKey||Qn(\"Expression_\"+ti,Fr[ti]);function ei(t){return t&&\"undefined\"!=typeof ArrayBuffer&&(t instanceof ArrayBuffer||t.constructor&&\"ArrayBuffer\"===t.constructor.name)}function ri(t){return Kn&&t instanceof Kn}function ni(t,e){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp)return t;if(ei(t)||ri(t))return e&&e.push(t),t;if(ArrayBuffer.isView(t)){var r=t;return e&&e.push(r.buffer),r}if(t instanceof Jn)return e&&e.push(t.data.buffer),t;if(Array.isArray(t)){for(var n=[],i=0,a=t;i<a.length;i+=1){var o=a[i];n.push(ni(o,e))}return 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t&&t.indexOf(\"NetworkError\")>-1&&(xi=yi),mi&&mi(t)};function wi(){Ti.fire(new Ct(\"pluginStateChange\",{pluginStatus:xi,pluginURL:bi}))}var Ti=new Ot,ki=function(){return xi},Ai=function(){if(xi!==di||!bi)throw new Error(\"rtl-text-plugin cannot be downloaded unless a pluginURL is specified\");xi=vi,wi(),bi&&Tt({url:bi},(function(t){t?_i(t):(xi=gi,wi())}))},Mi={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return xi===gi||null!=Mi.applyArabicShaping},isLoading:function(){return xi===vi},setState:function(t){xi=t.pluginStatus,bi=t.pluginURL},isParsed:function(){return null!=Mi.applyArabicShaping&&null!=Mi.processBidirectionalText&&null!=Mi.processStyledBidirectionalText},getPluginURL:function(){return bi}},Si=function(t,e){this.zoom=t,e?(this.now=e.now,this.fadeDuration=e.fadeDuration,this.zoomHistory=e.zoomHistory,this.transition=e.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new 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0===e?t.specification.default:e,t.specification)};Ei.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},Ei.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var Li=function(t){this.property=t,this.value=new Ei(t,void 0)};Li.prototype.transitioned=function(t,e){return new Pi(this.property,this.value,e,f({},t.transition,this.transition),t.now)},Li.prototype.untransitioned=function(){return new Pi(this.property,this.value,null,{},0)};var Ci=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};Ci.prototype.getValue=function(t){return b(this._values[t].value.value)},Ci.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Li(this._values[t].property)),this._values[t].value=new Ei(this._values[t].property,null===e?void 0:b(e))},Ci.prototype.getTransition=function(t){return b(this._values[t].transition)},Ci.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Li(this._values[t].property)),this._values[t].transition=b(e)||void 0},Ci.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},Ci.prototype.transitioned=function(t,e){for(var r=new Oi(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},Ci.prototype.untransitioned=function(){for(var t=new Oi(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var Pi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};Pi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var Oi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Oi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new zi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return 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Di=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Di.prototype.isConstant=function(){return\"constant\"===this.value.kind},Di.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},Di.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var zi=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};zi.prototype.get=function(t){return this._values[t]};var Ri=function(t){this.specification=t};Ri.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},Ri.prototype.interpolate=function(t,e,r){var n=$e[this.specification.type];return n?n(t,e,r):t};var Fi=function(t,e){this.specification=t,this.overrides=e};Fi.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Di(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Di(this,t.expression,e)},Fi.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Di(this,{kind:\"constant\",value:void 0},t.parameters);var n=$e[this.specification.type];return n?new Di(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Fi.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new Di(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new Di(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new Di(this,{kind:\"constant\",value:s},e)}return new Di(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Fi),Ni=function(t){this.specification=t};Ni.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new Si(Math.floor(e.zoom-1),e)),t.expression.evaluate(new Si(Math.floor(e.zoom),e)),t.expression.evaluate(new Si(Math.floor(e.zoom+1),e)),e)}},Ni.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Ni.prototype.interpolate=function(t){return t};var ji=function(t){this.specification=t};ji.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},ji.prototype.interpolate=function(){return!1};var Ui=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new Ei(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new 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zi(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(Zn,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return y(t,Vi)?this._transitionablePaint.getTransition(t.slice(0,-Vi.length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Gn,n,t,e,r))return!1}if(y(t,Vi))return this._transitionablePaint.setTransition(t.slice(0,-Vi.length),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),x(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 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this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Zi);Ki.prototype.bytesPerElement=12,Qn(\"StructArrayLayout2i4i12\",Ki);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Zi);$i.prototype.bytesPerElement=8,Qn(\"StructArrayLayout2i4ub8\",$i);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l,u)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=u,this.uint8[h+17]=c,t},e}(Zi);Qi.prototype.bytesPerElement=18,Qn(\"StructArrayLayout8ui2ub18\",Qi);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.int16=new Int16Array(this.arrayBuffer),this.uint16=new 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this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=u,this.uint16[m+12]=c,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=v,this.uint32[x+10]=g,this.int16[m+22]=y,t},e}(Zi);la.prototype.bytesPerElement=48,Qn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",la);var ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S){var E=this.length;return 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Zi);va.prototype.bytesPerElement=8,Qn(\"StructArrayLayout2f8\",va);var ga=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}(Zi);ga.prototype.bytesPerElement=16,Qn(\"StructArrayLayout4f16\",ga);var ya=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 r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Gi);ya.prototype.size=20;var ma=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 ya(this,t)},e}(na);Qn(\"CollisionBoxArray\",ma);var xa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var 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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}(Gi);xa.prototype.size=48;var ba=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 xa(this,t)},e}(la);Qn(\"PlacedSymbolArray\",ba);var _a=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var 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r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return 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Si(0),e,{},n,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o)},Qa.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,i)},Qa.prototype._setPaintValue=function(t,e,r){if(\"color\"===this.type)for(var n=Ja(r),i=t;i<e;i++)this.paintVertexArray.emplace(i,n[0],n[1]);else{for(var a=t;a<e;a++)this.paintVertexArray.emplace(a,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},Qa.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Qa.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var 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s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},to.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},to.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},to.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=u(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},to.prototype.getBinding=function(t,e,r){return new Ha(t,e)};var eo=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};eo.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},eo.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},eo.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],u=n[o];if(s&&l&&u)for(var 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t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof Di&&qr(o.property.specification)){var s=io(a,t.type),l=o.value,u=o.property.specification.type,c=o.property.useIntegerZoom,f=o.property.specification[\"property-type\"],h=\"cross-faded\"===f||\"cross-faded-data-driven\"===f;if(\"constant\"===l.kind)this.binders[a]=h?new $a(l.value,s):new Ka(l.value,s,u),i.push(\"/u_\"+a);else if(\"source\"===l.kind||h){var p=ao(a,u,\"source\");this.binders[a]=h?new eo(l,u,c,e,p,t.id):new Qa(l,s,u,p),i.push(\"/a_\"+a)}else{var d=ao(a,u,\"composite\");this.binders[a]=new to(l,s,u,c,e,d),i.push(\"/z_\"+a)}}}this.cacheKey=i.sort().join(\"\")};ro.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Qa||e instanceof to?e.maxValue:0},ro.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof Qa||o instanceof to||o instanceof 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Ka||i instanceof $a||i instanceof to)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},ro.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,u=o.binding;this.binders[l].setUniform(u,n,r.get(l),s)}},ro.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof eo){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof Qa||r instanceof to)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},ro.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof Qa||r instanceof to||r instanceof eo)&&r.upload(t)}this.updatePaintBuffers()},ro.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof Qa||e instanceof to||e instanceof eo)&&e.destroy()}};var no=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var i=0,a=e;i<a.length;i+=1){var o=a[i];this.programConfigurations[o.id]=new ro(o,r,n,t)}this.needsUpload=!1,this._featureMap=new Ra,this._bufferOffset=0};function 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n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Gs(t,e,r){if(3===t){var n=new Vs(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Hs.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 Bs(this._pbf,e,this.extent,this._keys,this._values)};var Zs={VectorTile:function(t,e){this.layers=t.readFields(Gs,{},e)},VectorTileFeature:Bs,VectorTileLayer:Vs},Ys=Zs.VectorTileFeature.types,Ws=Math.pow(2,13);function Xs(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ws)+o,i*Ws*2,a*Ws*2,Math.round(s))}var Js=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Ki,this.indexArray=new sa,this.programConfigurations=new no(Fs,t.layers,t.zoom),this.segments=new Ea,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function Ks(t,e){return t.x===e.x&&(t.x<0||t.x>oo)||t.y===e.y&&(t.y<0||t.y>oo)}Js.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=Ps(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,u=a.sourceLayerIndex,c=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:c?uo(o):[]};if(this.layers[0]._featureFilter.filter(new Si(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:uo(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(Os(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,u,this.index,!0)}}},Js.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},Js.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Js.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Js.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Js.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Fs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Js.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Js.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Ls(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].length;for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!((O=d).every((function(t){return t.x<0}))||O.every((function(t){return t.x>oo}))||O.every((function(t){return t.y<0}))||O.every((function(t){return t.y>oo}))))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!Ks(y,m)){f.vertexLength+4>Ea.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(m)._perp()._unit(),b=m.dist(y);v+b>32768&&(v=0),Xs(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),Xs(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,Xs(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),Xs(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,1,v);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>Ea.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Ys[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Xs(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=Ko(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}var O;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Qn(\"FillExtrusionBucket\",Js,{omit:[\"layers\",\"features\"]});var $s={paint:new Ui({\"fill-extrusion-opacity\":new Ri(It[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Fi(It[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new Ri(It[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new Ri(It[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Bi(It[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Fi(It[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Fi(It[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new Ri(It[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},Qs=function(t){function e(e){t.call(this,e,$s)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Js(t)},e.prototype.queryRadius=function(){return Ao(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var u=Mo(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),c=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],u=[l.x,l.y,n,1];zo(u,u,e),i.push(new a(u[0]/u[3],u[1]/u[3]))}return i}(u,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,u=n[10]*e,c=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,v=0,g=t;v<g.length;v+=1){for(var y=[],m=[],x=0,b=g[v];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+u,L=S+c,C=k+f,P=A+h,O=M+p,I=S+d,D=new a((k+s)/L,(A+l)/L);D.z=E/L,y.push(D);var z=new a(C/I,P/I);z.z=O/I,m.push(z)}i.push(y),o.push(m)}return[i,o]}(n,f,c,l);return function(t,e,r){var n=1/0;vo(r,e)&&(n=el(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],u=a[s+1],c=o[s],f=[l,u,o[s+1],c,l];ho(r,f)&&(n=Math.min(n,el(r,f)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Hi);function tl(t,e){return t.x*e.x+t.y*e.y}function el(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),u=o.sub(i),c=tl(s,s),f=tl(s,l),h=tl(l,l),p=tl(u,s),d=tl(u,l),v=c*h-f*f,g=(h*p-f*d)/v,y=(c*d-f*p)/v,m=1-g-y,x=i.z*m+r.z*g+a.z*y;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var rl=Yi([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,nl=Zs.VectorTileFeature.types,il=Math.cos(Math.PI/180*37.5),al=Math.pow(2,14)/.5,ol=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new $i,this.indexArray=new sa,this.programConfigurations=new no(rl,t.layers,t.zoom),this.segments=new Ea,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};ol.prototype.populate=function(t,e,r){this.hasPattern=Ps(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:u,properties:l.properties,geometry:h?uo(l):[]};if(this.layers[0]._featureFilter.filter(new Si(this.zoom),p,r)){h||(p.geometry=uo(l));var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:p.geometry,patterns:{},sortKey:d};i.push(v)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=Os(\"line\",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},ol.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},ol.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},ol.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},ol.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},ol.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,rl),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},ol.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},ol.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),u=a.get(\"line-round-limit\"),c=0,f=e;c<f.length;c+=1){var h=f[c];this.addLine(h,t,o,s,l,u)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},ol.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===nl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var u=0;u<l-1&&t[u].equals(t[u+1]);)u++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var c,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,v=void 0,g=void 0;this.e1=this.e2=-1,s&&(c=t[l-2],g=t[u].sub(c)._unit()._perp());for(var y=u;y<l;y++)if(!(d=y===l-1?s?t[u+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(v=g),c&&(p=c),c=t[y],g=d?d.sub(c)._unit()._perp():v;var m=(v=v||g).add(g);0===m.x&&0===m.y||m._unit();var x=v.x*g.x+v.y*g.y,b=m.x*g.x+m.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<il&&p&&d,k=v.x*g.y-v.y*g.x>0;if(T&&y>u){var A=c.dist(p);if(A>2*f){var M=c.sub(c.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,v,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,c),\"miter\"===E)m._mult(_),this.addCurrentVertex(c,m,0,0,h);else if(\"flipbevel\"===E){if(_>100)m=g.mult(-1);else{var L=_*v.add(g).mag()/v.sub(g).mag();m._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(c,m,0,0,h),this.addCurrentVertex(c,m.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,O=k?0:C;if(p&&this.addCurrentVertex(c,v,P,O,h),\"fakeround\"===E)for(var I=Math.round(180*w/Math.PI/20),D=1;D<I;D++){var z=D/I;if(.5!==z){var R=z-.5;z+=z*R*(z-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(v)._mult(z)._add(v)._unit()._mult(k?-1:1);this.addHalfVertex(c,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(c,g,-P,-O,h)}else if(\"butt\"===E)this.addCurrentVertex(c,m,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(c,m,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(c,v,0,0,h),this.addCurrentVertex(c,v,1,1,h,!0)),d&&(this.addCurrentVertex(c,g,-1,-1,h,!0),this.addCurrentVertex(c,g,0,0,h)));if(T&&y<l-1){var N=c.dist(d);if(N>2*f){var j=c.add(d.sub(c)._mult(f/N)._round());this.updateDistance(c,j),this.addCurrentVertex(j,g,0,0,h),c=j}}}}},ol.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,u=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,u,a,!0,-n,i),this.distance>al/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},ol.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,u=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&u)<<2,u>>6);var c=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,c),o.primitiveLength++),i?this.e2=c:this.e1=c},ol.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(al-1):this.distance},ol.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Qn(\"LineBucket\",ol,{omit:[\"layers\",\"patternFeatures\"]});var sl=new Ui({\"line-cap\":new Ri(It.layout_line[\"line-cap\"]),\"line-join\":new Fi(It.layout_line[\"line-join\"]),\"line-miter-limit\":new Ri(It.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new Ri(It.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Fi(It.layout_line[\"line-sort-key\"])}),ll={paint:new Ui({\"line-opacity\":new Fi(It.paint_line[\"line-opacity\"]),\"line-color\":new Fi(It.paint_line[\"line-color\"]),\"line-translate\":new Ri(It.paint_line[\"line-translate\"]),\"line-translate-anchor\":new Ri(It.paint_line[\"line-translate-anchor\"]),\"line-width\":new Fi(It.paint_line[\"line-width\"]),\"line-gap-width\":new Fi(It.paint_line[\"line-gap-width\"]),\"line-offset\":new Fi(It.paint_line[\"line-offset\"]),\"line-blur\":new Fi(It.paint_line[\"line-blur\"]),\"line-dasharray\":new Ni(It.paint_line[\"line-dasharray\"]),\"line-pattern\":new Bi(It.paint_line[\"line-pattern\"]),\"line-gradient\":new ji(It.paint_line[\"line-gradient\"])}),layout:sl},ul=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new Si(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=f({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Fi),cl=new ul(ll.paint.properties[\"line-width\"].specification);cl.useIntegerZoom=!0;var fl=function(t){function e(e){t.call(this,e,ll)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var t=this._transitionablePaint._values[\"line-gradient\"].value.expression;this.gradient=Zo(t,\"lineProgress\"),this.gradientTexture=null},e.prototype.recalculate=function(e,r){t.prototype.recalculate.call(this,e,r),this.paint._values[\"line-floorwidth\"]=cl.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,e)},e.prototype.createBucket=function(t){return new ol(t)},e.prototype.queryRadius=function(t){var e=t,r=hl(ko(\"line-width\",this,e),ko(\"line-gap-width\",this,e)),n=ko(\"line-offset\",this,e);return r/2+Math.abs(n)+Ao(this.paint.get(\"line-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s){var l=Mo(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),u=s/2*hl(this.paint.get(\"line-width\").evaluate(e,r),this.paint.get(\"line-gap-width\").evaluate(e,r)),c=this.paint.get(\"line-offset\").evaluate(e,r);return c&&(n=function(t,e){for(var r=[],n=new a(0,0),i=0;i<t.length;i++){for(var o=t[i],s=[],l=0;l<o.length;l++){var u=o[l-1],c=o[l],f=o[l+1],h=0===l?n:c.sub(u)._unit()._perp(),p=l===o.length-1?n:f.sub(c)._unit()._perp(),d=h._add(p)._unit(),v=d.x*p.x+d.y*p.y;d._mult(1/v),s.push(d._mult(e)._add(c))}r.push(s)}return r}(n,c*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(wo(t,i[a]))return!0;if(go(t,i,r))return!0}return!1}(l,n,u)},e.prototype.isTileClipped=function(){return!0},e}(Hi);function hl(t,e){return e>0?e+2*t:t}var 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h=Lu(n.stretch-x,b,c,t.left),p=Cu(n.fixed-T,k,n.stretch,v),d=Lu(i.stretch-_,w,f,t.top),y=Cu(i.fixed-A,M,i.stretch,g),m=Lu(l.stretch-x,b,c,t.left),S=Cu(l.fixed-T,k,l.stretch,v),E=Lu(u.stretch-_,w,f,t.top),L=Cu(u.fixed-A,M,u.stretch,g),C=new a(h,d),P=new a(m,d),O=new a(m,E),I=new a(h,E),D=new a(p/s,y/s),z=new a(S/s,L/s),R=e*Math.PI/180;if(R){var F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];C._matMult(N),P._matMult(N),I._matMult(N),O._matMult(N)}var j=n.stretch+n.fixed,U=l.stretch+l.fixed,V=i.stretch+i.fixed,H=u.stretch+u.fixed;return{tl:C,tr:P,bl:I,br:O,tex:{x:o.paddedRect.x+1+j,y:o.paddedRect.y+1+V,w:U-j,h:H-V},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:D,pixelOffsetBR:z,minFontScaleX:k/s/c,minFontScaleY:M/s/f,isSDF:r}};if(n&&(o.stretchX||o.stretchY))for(var L=Eu(h,y,v),C=Eu(p,m,g),P=0;P<L.length-1;P++)for(var O=L[P],I=L[P+1],D=0;D<C.length-1;D++){var z=C[D],R=C[D+1];i.push(E(O,z,I,R))}else 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sa,this.programConfigurations=t,this.segments=new Ea,this.dynamicLayoutVertexArray=new ea,this.opacityVertexArray=new ra,this.placedSymbolArray=new ba};Xu.prototype.isEmpty=function(){return 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e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=du(this.zoom,e[\"text-size\"]),this.iconSizeData=du(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return Jl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};Ku.prototype.createArrays=function(){this.text=new Xu(new no(pl.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new Xu(new no(pl.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new Ta,this.lineVertexArray=new ka,this.symbolInstances=new wa},Ku.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=xl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},Ku.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof le&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),u=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,c=i.get(\"symbol-sort-key\");if(this.features=[],l||u){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new Si(this.zoom),v=0,g=t;v<g.length;v+=1){var y=g[v],m=y.feature,x=y.id,b=y.index,_=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:m.type,id:x,properties:m.properties,geometry:w?uo(m):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=uo(m));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=le.factory(A);Wu(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ki()||this.hasRTLText&&Mi.isParsed())&&(k=ml(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ue?E:ue.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?c.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:uo(m),properties:m.properties,type:qu[m.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),O=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(Jl.vertical)>=0;for(var I=0,D=k.sections;I<D.length;I+=1){var z=D[I];if(z.image)f[z.image.name]=!0;else{var R=si(k.toString()),F=z.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(z.text,B,O,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.text?c.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var v=s(p,d,f),g=o(p,d,n[v].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[v].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(u),e[p]=i-1,r[d]=i-1)}else a(u)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},Ku.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},Ku.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},Ku.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Ku.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Ku.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Ku.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Ku.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var u=a[l];this.lineVertexArray.emplaceBack(u.x,u.y,u.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Ku.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===Jl.vertical?Math.PI/2:0,m=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,O=b.sectionIndex,I=d.vertexLength,D=C[1];Zu(p,s.x,s.y,_.x,D+_.y,A.x,A.y,r,P,M.x,M.y,E,L),Zu(p,s.x,s.y,w.x,D+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),Zu(p,s.x,s.y,T.x,D+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),Zu(p,s.x,s.y,k.x,D+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),Yu(t.dynamicLayoutVertexArray,s,y),h.emplaceBack(I,I+1,I+2),h.emplaceBack(I+1,I+2,I+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&O===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[O])}t.placedSymbolArray.emplaceBack(s.x,s.y,v,this.glyphOffsetArray.length-v,g,l,u,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,c)},Ku.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},Ku.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=l.vertexLength,c=i.layoutVertexArray,f=i.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(c,f,o,h,p,new a(t,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,n)),this._addCollisionDebugVertex(c,f,o,h,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(u,u+1),d.emplaceBack(u+1,u+2),d.emplaceBack(u+2,u+3),d.emplaceBack(u+3,u),l.primitiveLength+=4},Ku.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,u=a.y2;this.addCollisionDebugVertices(o,s,l,u,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},Ku.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Ju(ia,gl.members,pa),this.iconCollisionBox=new Ju(ia,gl.members,pa);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},Ku.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var u={},c=e;c<r;c++){var f=t.get(c);u.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},u.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);u.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},u.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var v=t.get(d);u.iconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},u.iconFeatureIndex=v.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);u.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},u.verticalIconFeatureIndex=y.featureIndex;break}return u},Ku.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},Ku.prototype.hasTextData=function(){return this.text.segments.get().length>0},Ku.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Ku.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Ku.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Ku.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Ku.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},Ku.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},Ku.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},Ku.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Qn(\"SymbolBucket\",Ku,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Ku.MAX_GLYPHS=65535,Ku.addDynamicAttributes=Yu;var $u=new Ui({\"symbol-placement\":new Ri(It.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new Ri(It.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new Ri(It.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Fi(It.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new Ri(It.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new Ri(It.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new Ri(It.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new Ri(It.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new Ri(It.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Fi(It.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new Ri(It.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new Ri(It.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Fi(It.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Fi(It.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new Ri(It.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new Ri(It.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Fi(It.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Fi(It.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new Ri(It.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new Ri(It.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new Ri(It.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Fi(It.layout_symbol[\"text-field\"]),\"text-font\":new Fi(It.layout_symbol[\"text-font\"]),\"text-size\":new Fi(It.layout_symbol[\"text-size\"]),\"text-max-width\":new Fi(It.layout_symbol[\"text-max-width\"]),\"text-line-height\":new Ri(It.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Fi(It.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Fi(It.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Fi(It.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new Ri(It.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Fi(It.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new Ri(It.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new Ri(It.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Fi(It.layout_symbol[\"text-rotate\"]),\"text-padding\":new Ri(It.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new Ri(It.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Fi(It.layout_symbol[\"text-transform\"]),\"text-offset\":new Fi(It.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new Ri(It.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new Ri(It.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new Ri(It.layout_symbol[\"text-optional\"])}),Qu={paint:new Ui({\"icon-opacity\":new Fi(It.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Fi(It.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Fi(It.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Fi(It.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Fi(It.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new Ri(It.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new Ri(It.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Fi(It.paint_symbol[\"text-opacity\"]),\"text-color\":new Fi(It.paint_symbol[\"text-color\"],{runtimeType:Gt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Fi(It.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Fi(It.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Fi(It.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new Ri(It.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new Ri(It.paint_symbol[\"text-translate-anchor\"])}),layout:$u},tc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ut,this.defaultValue=t};tc.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},tc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},tc.prototype.outputDefined=function(){return!1},tc.prototype.serialize=function(){return null},Qn(\"FormatSectionOverride\",tc,{omit:[\"defaultValue\"]});var ec=function(t){function e(e){t.call(this,e,Qu)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||nn(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new Ku(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Qu.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new tc(a),s=new rn(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new on(\"source\",s):new sn(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Di(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=Qu.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof le)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof de&&he(t.value)===Xt){var e=t.value;a(e.sections)}else t instanceof me?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Hi),rc={paint:new Ui({\"background-color\":new Ri(It.paint_background[\"background-color\"]),\"background-pattern\":new Ni(It.paint_background[\"background-pattern\"]),\"background-opacity\":new Ri(It.paint_background[\"background-opacity\"])})},nc=function(t){function e(e){t.call(this,e,rc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Hi),ic={paint:new Ui({\"raster-opacity\":new Ri(It.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new Ri(It.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new Ri(It.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new Ri(It.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new Ri(It.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new Ri(It.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new Ri(It.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new Ri(It.paint_raster[\"raster-fade-duration\"])})},ac=function(t){function e(e){t.call(this,e,ic)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Hi);var oc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Hi),sc={circle:Fo,heatmap:Yo,hillshade:Xo,fill:Rs,\"fill-extrusion\":Qs,line:fl,symbol:ec,background:nc,raster:ac};var lc=self.HTMLImageElement,uc=self.HTMLCanvasElement,cc=self.HTMLVideoElement,fc=self.ImageData,hc=self.ImageBitmap,pc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};pc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof lc||t instanceof uc||t instanceof cc||t instanceof fc||hc&&t instanceof hc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},u=l.x,c=l.y;t instanceof lc||t instanceof uc||t instanceof cc||t instanceof fc||hc&&t instanceof hc?s.texSubImage2D(s.TEXTURE_2D,0,u,c,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,u,c,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},pc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},pc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},pc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var dc=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};dc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},dc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var vc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g([\"receive\",\"process\"],this),this.invoker=new dc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=A()?t:self};function gc(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]}vc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=E(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:ni(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},vc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else A()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},vc.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)}},vc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(ii(e.error)):n(null,ii(e.data)))}else{var i=!1,a=E(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?ni(e):null,data:ni(n,a)},a)}:function(t){i=!0},s=null,l=ii(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},vc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var yc=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]))};yc.prototype.setNorthEast=function(t){return this._ne=t instanceof xc?new xc(t.lng,t.lat):xc.convert(t),this},yc.prototype.setSouthWest=function(t){return this._sw=t instanceof xc?new xc(t.lng,t.lat):xc.convert(t),this},yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof xc)e=t,r=t;else{if(!(t instanceof yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(yc.convert(a))}var o=t;return this.extend(xc.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 xc(e.lng,e.lat),this._ne=new xc(r.lng,r.lat)),this},yc.prototype.getCenter=function(){return new xc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},yc.prototype.getSouthWest=function(){return this._sw},yc.prototype.getNorthEast=function(){return this._ne},yc.prototype.getNorthWest=function(){return new xc(this.getWest(),this.getNorth())},yc.prototype.getSouthEast=function(){return new xc(this.getEast(),this.getSouth())},yc.prototype.getWest=function(){return this._sw.lng},yc.prototype.getSouth=function(){return this._sw.lat},yc.prototype.getEast=function(){return this._ne.lng},yc.prototype.getNorth=function(){return this._ne.lat},yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},yc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},yc.prototype.contains=function(t){var e=xc.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},yc.convert=function(t){return!t||t instanceof yc?t:new yc(t)};var mc=6371008.8,xc=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\")};xc.prototype.wrap=function(){return new xc(c(this.lng,-180,180),this.lat)},xc.prototype.toArray=function(){return[this.lng,this.lat]},xc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},xc.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 mc*Math.acos(Math.min(i,1))},xc.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 yc(new xc(this.lng-r,this.lat-e),new xc(this.lng+r,this.lat+e))},xc.convert=function(t){if(t instanceof xc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new xc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new xc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var bc=2*Math.PI*mc;function _c(t){return bc*Math.cos(t*Math.PI/180)}function wc(t){return(180+t)/360}function Tc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function kc(t,e){return t/_c(e)}function Ac(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Mc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Mc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=xc.convert(t);return new Mc(wc(r.lng),Tc(r.lat),kc(e,r.lat))},Mc.prototype.toLngLat=function(){return new xc(360*this.x-180,Ac(this.y))},Mc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*_c(Ac(e));var t,e},Mc.prototype.meterInMercatorCoordinateUnits=function(){return 1/bc*(t=Ac(this.y),1/Math.cos(t*Math.PI/180));var t};var Sc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Cc(0,t,t,e,r)};Sc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Sc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=gc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},Sc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*oo,(t.y*e-this.y)*oo)},Sc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var Ec=function(t,e){this.wrap=t,this.canonical=e,this.key=Cc(t,e.z,e.z,e.x,e.y)},Lc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Sc(r,+n,+i),this.key=Cc(e,t,r,n,i)};function Cc(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Lc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Lc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Lc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Lc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Lc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Cc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Cc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Lc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Lc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Lc(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 Lc(e,this.wrap,e,r,n),new Lc(e,this.wrap,e,r+1,n),new Lc(e,this.wrap,e,r,n+1),new Lc(e,this.wrap,e,r+1,n+1)]},Lc.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Lc.prototype.wrapped=function(){return new Lc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Lc.prototype.unwrapTo=function(t){return new Lc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Lc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Lc.prototype.toUnwrapped=function(){return new Ec(this.wrap,this.canonical)},Lc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Lc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Mc(t.x-this.wrap,t.y))},Qn(\"CanonicalTileID\",Sc),Qn(\"OverscaledTileID\",Lc,{omit:[\"posMatrix\"]});var Pc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return w('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Pc.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Pc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Pc.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},Pc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Pc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Pc.prototype.getPixels=function(){return new qo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Pc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u<o;u++)for(var c=n;c<i;c++)this.data[this._idx(c,u)]=t.data[this._idx(c+s,u+l)]},Qn(\"DEMData\",Pc);var Oc=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Oc.prototype.encode=function(t){return this._stringToNumber[t]},Oc.prototype.decode=function(t){return this._numberToString[t]};var Ic=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},Dc={geometry:{configurable:!0}};Dc.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Dc.geometry.set=function(t){this._geometry=t},Ic.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Ic.prototype,Dc);var zc=function(){this.state={},this.stateChanges={},this.deletedStates={}};zc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},f(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},zc.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},zc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=f({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},zc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},zc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),f(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var u in this.deletedStates[o]){if(null===this.deletedStates[o][u])this.state[o][u]={};else for(var c=0,h=Object.keys(this.deletedStates[o][u]);c<h.length;c+=1){var p=h[c];delete this.state[o][u][p]}s[u]=this.state[o][u]}r[o]=r[o]||{},f(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Rc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new Wn(oo,16,0),this.grid3D=new Wn(oo,16,0),this.featureIndexArray=new Ma,this.promoteId=e};function Fc(t,e,r,n,i){return m(t,(function(t,a){var o=e instanceof zi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Bc(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function Nc(t,e){return e-t}Rc.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var u=e[l],c=[1/0,1/0,-1/0,-1/0],f=0;f<u.length;f++){var h=u[f];c[0]=Math.min(c[0],h.x),c[1]=Math.min(c[1],h.y),c[2]=Math.max(c[2],h.x),c[3]=Math.max(c[3],h.y)}c[0]<oo&&c[1]<oo&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Rc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Zs.VectorTile(new Tl(this.rawTileData)).layers,this.sourceLayerCoder=new Oc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Rc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=oo/t.tileSize/t.scale,l=xn(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Bc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Bc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c<f.length;c+=1)if(wo(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(To(t[h],t[h+1],u))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)}));d<v.length;d+=1){var g=v[d];h.push(g)}h.sort(Nc);for(var y,m={},x=function(a){var c=h[a];if(c!==y){y=c;var f=i.featureIndexArray.get(c),p=null;i.loadMatchingFeature(m,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=uo(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},b=0;b<h.length;b++)x(b);return m},Rc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,u,c){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new Si(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),v=0;v<f.length;v++){var g=f[v];if(!(a&&a.indexOf(g)<0)){var y=s[g];if(y){var m={};void 0!==d&&u&&(m=u.getState(y.sourceLayer||\"_geojsonTileLayer\",d));var x=l[g];x.paint=Fc(x.paint,y.paint,p,m,o),x.layout=Fc(x.layout,y.layout,p,m,o);var b=!c||c(p,y,m);if(b){var _=new Ic(p,this.z,this.x,this.y,d);_.layer=x;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},Rc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=xn(i),c=0,f=t;c<f.length;c+=1){var h=f[c];this.loadMatchingFeature(l,r,n,h,u,a,o,s,e)}return l},Rc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1)if(t===i[n])return!0;return!1},Rc.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},Qn(\"FeatureIndex\",Rc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var jc=function(t,e){this.tileID=t,this.uid=p(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};jc.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<F.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},jc.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},jc.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof Ku){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof Ku&&o.hasRTLText){this.hasRTLText=!0,Mi.isLoading()||Mi.isLoaded()||\"deferred\"!==ki()||Ai();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new ma},jc.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},jc.prototype.getBucket=function(t){return this.buckets[t.id]},jc.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new pc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new pc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},jc.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},jc.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,u){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:u,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},jc.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=xn(e&&e.filter),s=this.tileID.canonical,l=s.z,u=s.x,c=s.y,f={z:l,x:u,y:c},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new Si(this.tileID.overscaledZ),p)){var d=r.getId(p,i),v=new Ic(p,l,u,c,d);v.tile=f,t.push(v)}}}},jc.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},jc.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},jc.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},jc.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},jc.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},jc.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},jc.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<F.now()},jc.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},jc.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=F.now()+t},jc.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},jc.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1)if(a[s[o]])return!0}return!1};var Uc=self.performance,Vc=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},Uc.mark(this._marks.start)};Vc.prototype.finish=function(){Uc.mark(this._marks.end);var t=Uc.getEntriesByName(this._marks.measure);return 0===t.length&&(Uc.measure(this._marks.measure,this._marks.start,this._marks.end),t=Uc.getEntriesByName(this._marks.measure),Uc.clearMarks(this._marks.start),Uc.clearMarks(this._marks.end),Uc.clearMeasures(this._marks.measure)),t},t.Actor=vc,t.AlphaImage=Ho,t.CanonicalTileID=Sc,t.CollisionBoxArray=ma,t.Color=ae,t.DEMData=Pc,t.DataConstantProperty=Ri,t.DictionaryCoder=Oc,t.EXTENT=oo,t.ErrorEvent=Pt,t.EvaluationParameters=Si,t.Event=Ct,t.Evented=Ot,t.FeatureIndex=Rc,t.FillBucket=Is,t.FillExtrusionBucket=Js,t.ImageAtlas=Xl,t.ImagePosition=Yl,t.LineBucket=ol,t.LngLat=xc,t.LngLatBounds=yc,t.MercatorCoordinate=Mc,t.ONE_EM=bl,t.OverscaledTileID=Lc,t.Point=a,t.Point$1=a,t.Properties=Ui,t.Protobuf=Tl,t.RGBAImage=qo,t.RequestManager=q,t.RequestPerformance=Vc,t.ResourceType=mt,t.SegmentVector=Ea,t.SourceFeatureState=zc,t.StructArrayLayout1ui2=da,t.StructArrayLayout2f1f2i16=aa,t.StructArrayLayout2i4=Xi,t.StructArrayLayout3ui6=sa,t.StructArrayLayout4i8=Ji,t.SymbolBucket=Ku,t.Texture=pc,t.Tile=jc,t.Transitionable=Ci,t.Uniform1f=Ha,t.Uniform1i=Va,t.Uniform2f=qa,t.Uniform3f=Ga,t.Uniform4f=Za,t.UniformColor=Ya,t.UniformMatrix4f=Xa,t.UnwrappedTileID=Ec,t.ValidationError=Dt,t.WritingMode=Jl,t.ZoomHistory=ai,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=Yu,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=s,t.bindAll=g,t.browser=F,t.cacheEntryPossiblyAdded=function(t){++gt>ct&&(t.getActor().send(\"enforceCacheSizeLimit\",ut),gt=0)},t.clamp=u,t.clearTileCache=function(t){var e=self.caches.delete(lt);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Au,t.clone=function(t){var e=new Lo(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=b,t.clone$2=function(t){var e=new Lo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=yl,t.config=B,t.create=function(){var t=new Lo(16);return Lo!=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 Lo(9);return Lo!=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 Lo(4);return Lo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=an,t.createLayout=Yi,t.createStyleLayer=function(t){return\"custom\"===t.type?new oc(t):new sc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n<e.length;n++)if(!t(e[n],r[n]))return!1;return!0}if(\"object\"==typeof e&&null!==e&&null!==r){if(\"object\"!=typeof r)return!1;if(Object.keys(e).length!==Object.keys(r).length)return!1;for(var i in e)if(!t(e[i],r[i]))return!1;return!0}return 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t;if(o<r||a>=n)return null;for(var l=[],u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.type,p=0===i?c.minX:c.minY,d=0===i?c.maxX:c.maxY;if(p>=r&&d<n)l.push(c);else if(!(d<r||p>=n)){var v=[];if(\"Point\"===h||\"MultiPoint\"===h)ut(f,v,r,n,i);else if(\"LineString\"===h)ct(f,v,r,n,i,!1,s.lineMetrics);else if(\"MultiLineString\"===h)ht(f,v,r,n,i,!1);else if(\"Polygon\"===h)ht(f,v,r,n,i,!0);else if(\"MultiPolygon\"===h)for(var g=0;g<f.length;g++){var y=[];ht(f[g],y,r,n,i,!0),y.length&&v.push(y)}if(v.length){if(s.lineMetrics&&\"LineString\"===h){for(g=0;g<v.length;g++)l.push(tt(c.id,h,v[g],c.tags));continue}\"LineString\"!==h&&\"MultiLineString\"!==h||(1===v.length?(h=\"LineString\",v=v[0]):h=\"MultiLineString\"),\"Point\"!==h&&\"MultiPoint\"!==h||(h=3===v.length?\"Point\":\"MultiPoint\"),l.push(tt(c.id,h,v,c.tags))}}}return l.length?l:null}function ut(t,e,r,n,i){for(var a=0;a<t.length;a+=3){var o=t[a+i];o>=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function 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xt(t,e,r,n,i,a){return[Math.round(r*(t*n-i)),Math.round(r*(e*n-a))]}function bt(t,e,r,n,i){for(var a=e===i.maxZoom?0:i.tolerance/((1<<e)*i.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,_t(o,t[s],a,i);var l=t[s].minX,u=t[s].minY,c=t[s].maxX,f=t[s].maxY;l<o.minX&&(o.minX=l),u<o.minY&&(o.minY=u),c>o.maxX&&(o.maxX=c),f>o.maxY&&(o.maxY=f)}return o}function _t(t,e,r,n){var i=e.geometry,a=e.type,o=[];if(\"Point\"===a||\"MultiPoint\"===a)for(var s=0;s<i.length;s+=3)o.push(i[s]),o.push(i[s+1]),t.numPoints++,t.numSimplified++;else if(\"LineString\"===a)wt(o,i,t,r,!1,!1);else if(\"MultiLineString\"===a||\"Polygon\"===a)for(s=0;s<i.length;s++)wt(o,i[s],t,r,\"Polygon\"===a,0===s);else if(\"MultiPolygon\"===a)for(var l=0;l<i.length;l++){var u=i[l];for(s=0;s<u.length;s++)wt(o,u[s],t,r,!0,0===s)}if(o.length){var c=e.tags||null;if(\"LineString\"===a&&n.lineMetrics){for(var f in c={},e.tags)c[f]=e.tags[f];c.mapbox_clip_start=i.start/i.size,c.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:c};null!==e.id&&(h.id=e.id),t.features.push(h)}}function wt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(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;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function Tt(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)rt(r,t.features[n],e,n);else\"Feature\"===t.type?rt(r,t,e):rt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=lt(t,1,-1-r,r,0,-1,2,e),a=lt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=lt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=gt(i,1).concat(n)),a&&(n=n.concat(gt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function kt(t,e,r){return 32*((1<<t)*r+e)+t}function At(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(q(t[l],l));this.trees[i+1]=new j(s,J,K,a,Float32Array),r&&console.timeEnd(o);for(var u=i;u>=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,J,K,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",u,s.length,+Date.now()-c)}return r&&console.timeEnd(\"total time\"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),W(a),Y(i),W(n));c<f.length;c+=1){var h=f[c],p=l.points[h];u.push(p.numPoints?G(p):this.points[p.index])}return u},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,u=i.within(a.x,a.y,o);l<u.length;l+=1){var c=u[l],f=i.points[c];f.parentId===t&&s.push(f.numPoints?G(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],u=l.numPoints,c={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:u?Z(l):this.points[l.index].properties},f=void 0;u?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(c.id=f),a.features.push(c)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var u=t[l];if(!(u.zoom<=e)){u.zoom=e;for(var c=this.trees[e+1],f=c.within(u.x,u.y,s),h=u.numPoints||1,p=u.x*h,d=u.y*h,v=o&&h>1?this._map(u,!0):null,g=(l<<5)+(e+1)+this.points.length,y=0,m=f;y<m.length;y+=1){var x=m[y],b=c.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(v||(v=this._map(u,!0)),o(v,this._map(b)))}}1===h?r.push(u):(u.parentId=g,r.push(H(p/h,d/h,g,h,v)))}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<<e,f=kt(e,r,n),h=this.tiles[f];if(!h&&(u>1&&console.time(\"creation\"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){u>1&&console.time(\"clipping\");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd(\"clipping\"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=kt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",u,c,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?mt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),u=0,c=l;u<c.length;u+=1){var f=c[u],h=n[f],p=h[0],d=h[1],v=t.createExpression(d),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=v.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already registered.\");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return St.prototype.setReferrer=function(t,e){this.referrer=e},St.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var i=this.workerSources[t][n];for(var a in i)i[a].availableImages=e}r()},St.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},St.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},St.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},St.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},St.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},St.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},St.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},St.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},St.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},St.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},St.prototype.syncRTLPluginState=function(e,r,n){try{t.plugin.setState(r);var i=t.plugin.getPluginURL();if(t.plugin.isLoaded()&&!t.plugin.isParsed()&&null!=i){this.self.importScripts(i);var a=t.plugin.isParsed();n(a?void 0:new Error(\"RTL Text Plugin failed to import scripts from \"+i),a)}}catch(t){n(t.toString())}},St.prototype.getAvailableImages=function(t){var e=this.availableImages[t];return e||(e=[]),e},St.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},St.prototype.getWorkerSource=function(t,e,r){var n=this;if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){var i={send:function(e,r,i){n.actor.send(e,r,i,t)}};this.workerSources[t][e][r]=new this.workerSourceTypes[e](i,this.getLayerIndex(t),this.getAvailableImages(t))}return this.workerSources[t][e][r]},St.prototype.getDEMWorkerSource=function(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new c),this.demWorkerSources[t][e]},St.prototype.enforceCacheSizeLimit=function(e,r){t.enforceCacheSizeLimit(r)},\"undefined\"!=typeof WorkerGlobalScope&&void 0!==t.window&&t.window instanceof WorkerGlobalScope&&(t.window.worker=new St(t.window)),St})),n(0,(function(t){var e=t.createCommonjsModule((function(t){function e(t){return!r(t)}function r(t){return\"undefined\"!=typeof window&&\"undefined\"!=typeof document?Array.prototype&&Array.prototype.every&&Array.prototype.filter&&Array.prototype.forEach&&Array.prototype.indexOf&&Array.prototype.lastIndexOf&&Array.prototype.map&&Array.prototype.some&&Array.prototype.reduce&&Array.prototype.reduceRight&&Array.isArray?Function.prototype&&Function.prototype.bind?Object.keys&&Object.create&&Object.getPrototypeOf&&Object.getOwnPropertyNames&&Object.isSealed&&Object.isFrozen&&Object.isExtensible&&Object.getOwnPropertyDescriptor&&Object.defineProperty&&Object.defineProperties&&Object.seal&&Object.freeze&&Object.preventExtensions?\"JSON\"in window&&\"parse\"in JSON&&\"stringify\"in JSON?function(){if(!(\"Worker\"in window&&\"Blob\"in window&&\"URL\"in window))return!1;var t,e,r=new Blob([\"\"],{type:\"text/javascript\"}),n=URL.createObjectURL(r);try{e=new Worker(n),t=!0}catch(e){t=!1}return e&&e.terminate(),URL.revokeObjectURL(n),t}()?\"Uint8ClampedArray\"in window?ArrayBuffer.isView?function(){var t=document.createElement(\"canvas\");t.width=t.height=1;var e=t.getContext(\"2d\");if(!e)return!1;var r=e.getImageData(0,0,1,1);return r&&r.width===t.width}()?(r=t&&t.failIfMajorPerformanceCaveat,void 0===n[r]&&(n[r]=function(t){var r=function(t){var r=document.createElement(\"canvas\"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext(\"webgl\",n)||r.probablySupportsContext(\"experimental-webgl\",n):r.supportsContext?r.supportsContext(\"webgl\",n)||r.supportsContext(\"experimental-webgl\",n):r.getContext(\"webgl\",n)||r.getContext(\"experimental-webgl\",n)}(t);if(!r)return!1;var n=r.createShader(r.VERTEX_SHADER);return!(!n||r.isContextLost())&&(r.shaderSource(n,\"void main() {}\"),r.compileShader(n),!0===r.getShaderParameter(n,r.COMPILE_STATUS))}(r)),n[r]?void 0:\"insufficient WebGL support\"):\"insufficient Canvas/getImageData support\":\"insufficient ArrayBuffer support\":\"insufficient Uint8ClampedArray support\":\"insufficient worker support\":\"insufficient JSON support\":\"insufficient Object support\":\"insufficient Function support\":\"insufficent Array support\":\"not a browser\";var r}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e,window.mapboxgl.notSupportedReason=r);var n={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}})),r={create:function(e,r,n){var i=t.window.document.createElement(e);return void 0!==r&&(i.className=r),n&&n.appendChild(i),i},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function i(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var a,o=i([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]);r.disableDrag=function(){n&&o&&(a=n[o],n[o]=\"none\")},r.enableDrag=function(){n&&o&&(n[o]=a)};var s=i([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var u=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",u,u),t.window.removeEventListener(\"test\",u,u)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var c=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",c,!0)};function f(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener(\"click\",c,!0),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",c,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!(t&&(4!==t.length||t[0]<0||e.data.width<t[0]||t[1]<0||e.data.height<t[1]||t[2]<0||e.data.width<t[2]||t[3]<0||e.data.height<t[3]||t[2]<t[0]||t[3]<t[1]))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,u=l.x+1,c=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:u,y:c-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:u-1,y:c},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u+h,y:c},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,v=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(m(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(m(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function m(t,e,r,n,i){r[0]=0,n[0]=-v,n[1]=+v;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+v}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?v:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?v:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(y(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),y(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,u=o.glyph;(n[s]||(n[s]={}))[l]=u&&{id:u.id,bitmap:u.bitmap.clone(),metrics:u.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=\"-transition\",T=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,w)?this._transitionable.setTransition(n.slice(0,-w.length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},k.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var u=t[l];i=s*r,a=(s+=u)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===u})}return n},k.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var u={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,u},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var A=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(L),P=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var u=i-r,c=a-n,f=Math.max(u,c),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var D=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),R={vector:E,raster:L,\"raster-dem\":C,geojson:P,video:D,image:I,canvas:z};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&\"fill-extrusion\"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var u=[],c=0,f=l;c<f.length;c+=1){var h=f[c];u.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,F(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var u in o)for(var c=o[u],f=l[u]=l[u]||{},h=e[u]=e[u]||[],p=0,d=c;p<d.length;p+=1){var v=d[p];f[v.featureIndex]||(f[v.featureIndex]=!0,h.push(v))}}return e}(u);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer[\"source-layer\"],r.id);r.source=r.layer.source,r.layer[\"source-layer\"]&&(r.sourceLayer=r.layer[\"source-layer\"]),r.state=n}));return p}function N(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var j=function(t,e){this.max=t,this.onRemove=e,this.reset()};j.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},j.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 0!==r&&(a.timeout=setTimeout((function(){n.remove(t,a)}),r)),this.data[i].push(a),this.order.push(i),this.order.length>this.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];n<i.length;n+=1){var a=i[n];t(a.value)||e.push(a)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var U=function(t,e,r){this.context=t;var 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};U.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},U.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},U.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var V={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"},H=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var 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};H.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},H.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},H.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],i=e.attributes[n.name];void 0!==i&&t.enableVertexAttribArray(i)}},H.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[V[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}},H.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var q=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};q.prototype.get=function(){return this.current},q.prototype.set=function(t){},q.prototype.getDefault=function(){return this.default},q.prototype.setDefault=function(){this.set(this.default)};var G=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),Z=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.getDefault=function(){return 1},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)},e}(q),Y=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.getDefault=function(){return 0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)},e}(q),W=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.getDefault=function(){return[!0,!0,!0,!0]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),X=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.getDefault=function(){return!0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)},e}(q),J=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.getDefault=function(){return 255},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)},e}(q),K=function(t){function e(){t.apply(this,arguments)}return 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t=this.gl;return[t.ONE,t.ZERO]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.blendFunc(t[0],t[1]),this.current=t,this.dirty=!1)},e}(q),at=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.blendColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),ot=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.getDefault=function(){return this.gl.FUNC_ADD},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.blendEquation(t),this.current=t,this.dirty=!1)},e}(q),st=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.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.CULL_FACE):e.disable(e.CULL_FACE),this.current=t,this.dirty=!1}},e}(q),lt=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.getDefault=function(){return this.gl.BACK},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.cullFace(t),this.current=t,this.dirty=!1)},e}(q),ut=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.getDefault=function(){return this.gl.CCW},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.frontFace(t),this.current=t,this.dirty=!1)},e}(q),ct=function(t){function e(){t.apply(this,arguments)}return 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e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.viewport(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),pt=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.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}},e}(q),dt=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.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(q),vt=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.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindTexture(e.TEXTURE_2D,t),this.current=t,this.dirty=!1}},e}(q),gt=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.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindBuffer(e.ARRAY_BUFFER,t),this.current=t,this.dirty=!1}},e}(q),yt=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.getDefault=function(){return null},e.prototype.set=function(t){var e=this.gl;e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,t),this.current=t,this.dirty=!1},e}(q),mt=function(t){function e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(q),xt=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.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(q),bt=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.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),_t=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.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),wt=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e}(q),Tt=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.setDirty=function(){this.dirty=!0},e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(wt),kt=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.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(wt),At=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new Tt(t,a),n&&(this.depthAttachment=new kt(t,a))};At.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var St=7680,Et=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Lt=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Lt.disabled=new Lt(Lt.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),Lt.unblended=new Lt(Lt.Replace,t.Color.transparent,[!0,!0,!0,!0]),Lt.alphaBlended=new Lt([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Ct=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Ct.disabled=new Ct(!1,1029,2305),Ct.backCCW=new Ct(!0,1029,2305);var Pt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new G(this),this.clearDepth=new Z(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new J(this),this.stencilFunc=new K(this),this.stencilOp=new $(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ut(this),this.program=new ct(this),this.activeTexture=new ft(this),this.viewport=new ht(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new vt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new bt(this),this.pixelStoreUnpackFlipY=new _t(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Pt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Pt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Pt.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Pt.prototype.createVertexBuffer=function(t,e,r){return new H(this,t,e,r)},Pt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Pt.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},Pt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Pt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Pt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Pt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Pt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Lt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Pt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ot=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],v=this._tiles[p];if(v&&!(v.fadeEndTime&&v.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),u[g.tileID.key]=g.tileID),c[p]=d}}for(var y in this._retainLoadedChildren(c,a,s,l),u)l[y]||(this._coveredTiles[y]=!0,l[y]=u[y])}for(var m in l)this._tiles[m].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,u=t;l<u.length;l+=1){var c=u[l],f=this._addTile(c);n[c.key]=c,f.hasData()||e<this._source.maxzoom&&(s[c.key]=c)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],v=this._tiles[d.key];if(!v.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v<g.length;v+=1){var y=g[v];f=Math.min(f,y.x),h=Math.min(h,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var m=function(e){var n=i._tiles[c[e]];if(!n.holdingForFade()){var s=n.tileID,v=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/v,y=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x<c.length;x++)m(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Dt(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker(ta.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt=\"mapboxgl_preloaded_worker_pool\",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var Ht={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function qt(t,e,r){r.push({command:Ht.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:Ht.removeSource,args:[t]}),r[t]=!0}function Zt(t,e,r,n){Gt(t,r,n),qt(t,e,r)}function Yt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Wt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Xt(t){return t.id}function Jt(t,e){return t[e.id]=e,t}function Kt(e,r){if(!e)return[{command:Ht.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ht.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ht.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ht.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ht.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ht.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ht.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ht.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ht.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ht.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Yt(e,r,a)?n.push({command:Ht.setGeoJSONSourceData,args:[a,r[a].data]}):Zt(a,r,n,i)):qt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ht.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,u,c,f=(e=e||[]).map(Xt),h=r.map(Xt),p=e.reduce(Jt,{}),d=r.reduce(Jt,{}),v=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ht.removeLayer,args:[o]}),v.splice(v.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],v[v.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ht.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:Ht.addLayer,args:[d[o],u]}),v.splice(v.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(c in Wt(s.layout,l.layout,n,o,null,Ht.setLayoutProperty),Wt(s.paint,l.paint,n,o,null,Ht.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ht.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ht.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Wt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}));for(c in l)l.hasOwnProperty(c)&&!s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Wt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:Ht.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:Ht.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ht.setStyle,args:[r]}]}return n}var $t=function(t,e){this.reset(t,e)};$t.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},$t.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var m=d.get(y);if(m.hidden||m.writingMode===t.WritingMode.vertical&&!g)he(m.numGlyphs,h);else{g=!1;var x=[m.anchorX,m.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,f)){var b=x[3],_=ne(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(u,c,m),T=s?w/_:w*_,k=new t.Point(m.anchorX,m.anchorY),A=re(k,a).point,M={},S=le(m,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(m,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v).notEnoughRoom)&&he(m.numGlyphs,h)}else he(m.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function oe(t,e,r,n,i,a,o,s,l,u,c){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),g=ce(t*d,r,n,i,a,o,s.segment,h,p,l,u,c);if(!g)return null;var y=ce(t*v,r,n,i,a,o,s.segment,h,p,l,u,c);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)v.push(ce(g*l.getoffsetX(M),y,m,n,f,h,e.segment,b,_,u,o,p));v.push(w.last)}else{if(i&&!n){var S=re(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(u.getx(E),u.gety(E)),C=re(L,a),P=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D<z.length;D+=1){var R=z[D];t.addDynamicAttributes(c,R.point,R.angle)}return{}}function ue(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ce(e,r,n,i,a,o,s,l,u,c,f,h){var p=i?e-r:e+r,d=p>0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var u=this.circles[3*l],c=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:u-f,y1:c-f,x2:u+f,y2:c+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=c[d+2]&&e<=c[d+3]&&r>=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;y<m.length;y+=1){var x=m[y];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,u=o.seenUids,c=this.boxCells[i];if(null!==c)for(var f=this.bboxes,h=0,p=c;h<p.length;h+=1){var d=p[h];if(!u.box[d]){u.box[d]=!0;var v=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[v+0],f[v+1],f[v+2],f[v+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,m=0,x=g;m<x.length;m+=1){var b=x[m];if(!u.circle[b]){u.circle[b]=!0;var _=3*b;if(this._circlesCollide(y[_],y[_+1],y[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),u=this._convertToYCellCoord(e),c=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(fe,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,ve=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}ve.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,u=t.x2*o+a.point.x,c=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,u,c)||!e&&this.grid.hitTest(s,l,u,c,i)?{box:[],offscreen:!1}:{box:[s,l,u,c],offscreen:this.isOffscreen(s,l,u,c)}},ve.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,u,c,f,h,p){var d=[],v=new t.Point(r.anchorX,r.anchorY),g=re(v,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),m=(c?a/y:a*y)/t.ONE_EM,x=re(v,s).point,b=oe(m,i,r.lineOffsetX*m,r.lineOffsetY*m,!1,x,v,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new $t,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var O=1;O<L.path.length;O++)C.push(L.path[O]);var I=2.5*k;if(l){var D=C.map((function(t){return re(t,l)}));C=D.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:D.map((function(t){return t.point}))}var z=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);z=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/I)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Z=G.x+de,Y=G.y+de;d.push(Z,Y,k,0);var W=Z-k,X=Y-k,J=Z+k,K=Y+k;if(T=T&&this.isOffscreen(W,X,J,K),w=w||this.isInsideGrid(W,X,J,K),!e&&this.grid.hitTestCircle(Z,Y,k,f)&&(_=!0,!u))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!u&&_||!w?[]:d,offscreen:T,collisionDetected:_}},ve.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var u=l[s],c=new t.Point(u.x+de,u.y+de);n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y),r.push(c)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var v=d[p],g=v.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(v.x1,v.y1),new t.Point(v.x2,v.y1),new t.Point(v.x2,v.y2),new t.Point(v.x1,v.y2)];t.polygonIntersectsPolygon(r,y)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},ve.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},ve.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},ve.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},ve.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},ve.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},be=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},_e=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point(s+u[0]*a,l+u[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,u=e.y1,c=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:u+p.y,x2:l+p.x,y2:c+p.y,anchorPointX:f,anchorPointY:h}}we.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new ve(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}Ae.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),c=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=ge(n,1,this.transform.zoom),v=te(f,h,p,this.transform,d),g=null;if(h){var y=ee(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new _e(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var m={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:v,labelToScreenMatrix:g,scale:u,textPixelRatio:c,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:m})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:m})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=[f.textOffset0,f.textOffset1],y=Te(t,r,n,g,i),m=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate).box.length)return m.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get(\"text-optional\"),y=s.get(\"icon-optional\"),m=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),!(L&&L.box&&L.box.length));i+=1);else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Z=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get(\"text-padding\"),W=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,Z,l,u,c,n,_,v.predicate,W,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=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,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=X(a.verticalIconBox)).box.length>0:(O=X(a.iconBox)).box.length>0,S=S&&O.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=y||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt<P.circles.length;tt+=4)Q.circles.push(P.circles[tt+0]),Q.circles.push(P.circles[tt+1]),Q.circles.push(P.circles[tt+2]),Q.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},Ae.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var u=l[s];u>=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},Ae.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],u=i[s];u?(this.opacities[s]=new me(u,n,l.text,l.icon),r=r||l.text!==u.text.placed||l.icon!==u.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var c in i){var f=i[c];if(!this.opacities[c]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[c]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},Ae.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},Ae.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),u=a.get(\"text-variable-anchor\"),c=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},v=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,v=a.crossTileID,g=r[v],y=i.opacities[v];g?y=o:y||(y=p,i.opacities[v]=y),r[v]=!0;var m=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;g<e.symbolInstances.length;g++)v(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,u=o;l<u.length;l+=1){var c=u[l];if(Math.abs(c.coord.x-s.x)<=n&&Math.abs(c.coord.y-s.y)<=n&&!r[c.crossTileID]){r[c.crossTileID]=!0,a.crossTileID=c.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c<e.symbolInstances.length;c++){var f=e.symbolInstances.get(c);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],u=l.getBucket(t);u&&t.id===u.layerIds[0]&&(u.bucketInstanceId||(u.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,u,this.crossTileIDs)&&(i=!0),a[u.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var He=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},qe=t.pick(Ht,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ge=t.pick(Ht,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Ze=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),Ye=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(Ze,!1)},r.prototype._load=function(e,r){if(!r||!He(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),He(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Kt(this.serialize(),e).filter((function(t){return!(t.command in Ge)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in qe)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},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._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,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 the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(He(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 requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var u=l[s][o];if(u)for(var c=0,f=u;c<f.length;c+=1){var h=f[c];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var m=0,x=t;m<x.length;m+=1){var b=x[m][v];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var u=[];for(var c in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[c]||u.push(B(this.sourceCaches[c],this._layers,this._serializedLayers,e,r,n));return this.placement&&u.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),u=[],c=0,f=Object.keys(l).map(Number);c<f.length;c+=1){var h=f[c];u.push(o[h])}u.sort(N);for(var p=function(){var r=v[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],u=n[a];u.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var c=0,f=u;c<f.length;c+=1){var h=f[c];o.push(h)}}},d=0,v=u;d<v.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(u)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&He(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var v=0,g=this._order;v<g.length;v+=1){var y=g[v],m=this._layers[y];\"symbol\"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);Ye.getSourceType=function(t){return R[t]},Ye.setSourceType=function(t,e){R[t]=e},Ye.registerForPluginStateChange=t.registerForPluginStateChange;var We=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Xe=_r(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),Je=_r(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Ke=_r(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),$e=_r(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Qe=_r(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),tr=_r(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),er=_r(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),rr=_r(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),nr=_r(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),ir=_r(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),ar=_r(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),or=_r(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),sr=_r(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),lr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),ur=_r(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),cr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),fr=_r(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;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 exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),hr=_r(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),pr=_r(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),dr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\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,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\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_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\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;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),vr=_r(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),gr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),yr=_r(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),mr=_r(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),xr=_r(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),br=_r(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function _r(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var wr=Object.freeze({__proto__:null,prelude:Xe,background:Je,backgroundPattern:Ke,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u<n.length;u++)this.boundPaintVertexBuffers[u]!==n[u]&&(l=!0);var c=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||c?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,u=this.context,c=u.gl;if(u.extVertexArrayObject)this.vao&&this.destroy(),this.vao=u.extVertexArrayObject.createVertexArrayOES(),u.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=u.currentNumAttributes||0;for(var f=l;f<s;f++)c.disableVertexAttribArray(f)}e.enableAttributes(c,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(c,t);a&&a.enableAttributes(c,t),o&&o.enableAttributes(c,t),e.bind(),e.setVertexAttribPointers(c,t,i);for(var d=0,v=r;d<v.length;d+=1){var g=v[d];g.bind(),g.setVertexAttribPointers(c,t,i)}a&&(a.bind(),a.setVertexAttribPointers(c,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(c,t,i)),u.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var kr=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Xe.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Xe.vertexSource,e.vertexSource).join(\"\\n\"),u=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,s),a.compileShader(u),a.attachShader(this.program,u);var c=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,l),a.compileShader(c),a.attachShader(this.program,c);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(c),a.deleteShader(u),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var v=a.getActiveAttrib(this.program,d);v&&(this.attributes[v.name]=a.getAttribLocation(this.program,v.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),y=0;y<g;y++){var m=a.getActiveUniform(this.program,y);m&&(p[m.name]=a.getUniformLocation(this.program,m.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function Ar(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}kr.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Mr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Sr=function(e,r,n,i,a,o,s){return t.extend(Mr(e,r,n,i),Ar(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Er=function(t){return{u_matrix:t}},Lr=function(e,r,n,i){return t.extend(Er(e),Ar(n,r,i))},Cr=function(t,e){return{u_matrix:t,u_world:e}},Pr=function(e,r,n,i,a){return t.extend(Lr(e,r,n,i),{u_world:a})},Or=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Ir=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Dr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},zr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Rr=function(t){return{u_matrix:t}},Fr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}};var Br=function(e,r,n){var i=e.transform;return{u_matrix:Hr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Nr=function(e,r,n){return t.extend(Br(e,r,n),{u_image:0})},jr=function(e,r,n,i){var a=e.transform,o=Vr(r,a);return{u_matrix:Hr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Ur=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Vr(r,o),u=\"round\"===n.layout.get(\"line-cap\"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Br(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Vr(t,e){return 1/ge(t,1,e.tileZoom)}function Hr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var qr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Gr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Gr(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 Zr,Yr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},Wr=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Yr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Xr=function(e,r,n,i,a,o,s,l,u,c){return t.extend(Wr(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},Jr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Kr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},$r={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_maxzoom:new t.Uniform1f(e,r.u_maxzoom),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)}},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 Qr(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var v=i[d],g=r.getTile(v),y=g.getBucket(n);if(y){var m=v.posMatrix;0===a[0]&&0===a[1]||(m=e.translatePosMatrix(v.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,b=y.collisionCircleArray;if(b.length>0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Ir(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],O=E.circleArray[C+1],I=E.circleArray[C+2],D=E.circleArray[C+3];k.emplace(A++,P,O,I,D,0),k.emplace(A++,P,O,I,D,1),k.emplace(A++,P,O,I,D,2),k.emplace(A++,P,O,I,D,3)}(!Zr||Zr.length<2*h)&&(Zr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var z=l.createIndexBuffer(Zr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Dr(N.transform,N.invTransform,e.transform);T.draw(l,u.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,j,n.id,R,z,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),z.destroy()}}var tn=t.identity(new Float32Array(16));function en(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,u=-(s.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point((l/a+c[0])*o,(u/a+c[1])*o)}function rn(e,r,n,i,a,o,s,l,u,c,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,v={};p.clear();for(var g=0;g<h.length;g++){var y=h.get(g),m=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||m?null:i[y.crossTileID];if(x){var b=new t.Point(y.anchorX,y.anchorY),_=re(b,n?l:s),w=ne(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,c,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/u);for(var k=x.width,A=x.height,M=en(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<y.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&y.associatedIconIndex>=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var O=C.get(P);if(O.hidden)he(O.numGlyphs,d);else{var I=v[P];if(I)for(var D=0;D<O.numGlyphs;D++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(O.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function nn(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function an(e,r,n,i,a,o,s,l,u,c,f,h){for(var p=e.context,d=p.gl,v=e.transform,g=\"map\"===l,y=\"map\"===u,m=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!y&&!m,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,Mt.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,O=a?E.textSizeData:E.iconSizeData,I=y||0!==v.pitch,D=e.useProgram(nn(P,a,E),C),z=t.evaluateSizeForZoom(O,v.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V=\"composite\"===O.kind||\"camera\"===O.kind;U=I||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||H||I?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=ge(S,1,e.transform.zoom),G=te(M.posMatrix,y,g,e.transform,q),Z=ee(M.posMatrix,y,g,e.transform,q),Y=w&&E.hasTextData(),W=\"none\"!==n.layout.get(\"icon-text-fit\")&&Y&&E.hasIconData();m&&ae(E,M.posMatrix,e,a,G,Z,y,c);var X=e.translatePosMatrix(M.posMatrix,S,o,s),J=m||a&&w||W?tn:G,K=e.translatePosMatrix(Z,S,o,s,!0),$=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),Q={program:D,buffers:L,uniformValues:P?E.iconsInText?Xr(O.kind,z,x,y,e,X,J,K,R,F):Wr(O.kind,z,x,y,e,X,J,K,a,R,!0):Yr(O.kind,z,x,y,e,X,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:$};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:Q})}else T.push({segments:L.segments,sortKey:0,state:Q})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,on(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}on(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function on(t,e,r,n,i,a,o,s,l){var u=n.context,c=u.gl;i.draw(u,c.TRIANGLES,a,o,s,Ct.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function sn(t,e,r,n,i,a,o){var s,l,u,c,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),v=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var m=y[g],x=e.getTile(m);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(v));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(m.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){c=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];u=\"fillOutlinePattern\"===l&&d?Pr(S,t,v,x,E):Cr(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Lr(S,t,v,x):Er(S);w.draw(t.context,s,i,t.stencilModeForClipping(m),a,Ct.disabled,u,r.id,b.layoutVertexBuffer,c,f,r.paint,t.transform.zoom,_)}}}}function ln(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,u=r.paint.get(\"fill-extrusion-pattern\"),c=u.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var v=d[p],g=e.getTile(v),y=g.getBucket(r);if(y){var m=y.programConfigurations.get(r.id),x=t.useProgram(c?\"fillExtrusionPattern\":\"fillExtrusion\",m);c&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),m.updatePaintBuffers(f));var b=u.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&m.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(v.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=c?Sr(k,t,A,h,v,f,g):Mr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Ct.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,m)}}}function un(e,r,n,i,a,o){var s=e.context,l=s.gl,u=r.fbo;if(u){var c=e.useProgram(\"hillshade\");s.activeTexture.set(l.TEXTURE0),l.bindTexture(l.TEXTURE_2D,u.colorAttachment.get());var f=function(e,r,n){var i=n.paint.get(\"hillshade-shadow-color\"),a=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}}(e,r,n);c.draw(s,l.TRIANGLES,i,a,o,Ct.disabled,f,n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments)}}function cn(e,r,n,i,a,o,s){var l=e.context,u=l.gl,c=r.dem;if(c&&c.data){var f=c.dim,h=c.stride,p=c.getPixels();if(l.activeTexture.set(u.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(u.NEAREST,u.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,u.RGBA,{premultiply:!1}),r.demTexture.bind(u.NEAREST,u.CLAMP_TO_EDGE);l.activeTexture.set(u.TEXTURE0);var v=r.fbo;if(!v){var g=new t.Texture(l,{width:f,height:f,data:null},u.RGBA);g.bind(u.LINEAR,u.CLAMP_TO_EDGE),(v=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(v.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\"hillshadePrepare\").draw(l,u.TRIANGLES,a,o,s,Ct.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,c,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function fn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var hn=new t.Color(1,0,0,1),pn=new t.Color(0,1,0,1),dn=new t.Color(0,0,1,1),vn=new t.Color(1,0,1,1),gn=new t.Color(0,1,1,1);function yn(t){var e=t.transform.padding;mn(t,t.transform.height-(e.top||0),3,hn),mn(t,e.bottom||0,3,pn),xn(t,e.left||0,3,dn),xn(t,t.transform.width-(e.right||0),3,vn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;bn(t,e-a/2,r-i/2,a,i,n),bn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,gn)}function mn(t,e,r,n){bn(t,0,e+r/2,t.transform.width,r,n)}function xn(t,e,r,n){bn(t,e-r/2,0,r,t.transform.height,n)}function bn(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 _n(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f=\"$debug\";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,zr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+\" \"+d+\"kb\"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,zr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var wn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u=\"map\"===a,c=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),v=d.getBucket(n);if(v&&v.text&&v.text.segments.get().length){var g=v.textSizeData,y=t.evaluateSizeForZoom(g,l.zoom),m=ge(d,1,r.transform.zoom),x=te(p.posMatrix,c,u,r.transform,m),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&v.hasIconData();if(y){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);rn(v,u,c,s,t.symbolSize,l,x,p.posMatrix,_,y,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&an(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&an(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(Qr(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),Qr(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var u=e.context,c=u.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=Et.disabled,p=e.colorModeForRenderPass(),d=[],v=0;v<i.length;v++){var g=i[v],y=r.getTile(g),m=y.getBucket(n);if(m){var x=m.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:m.layoutVertexBuffer,indexBuffer:m.indexBuffer,uniformValues:Or(e,g,y,n)};if(l)for(var _=0,w=m.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:m.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,O=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,O,n.id,C,P,I,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Lt([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);(function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,e,n),a.clear({color:t.Color.transparent});for(var u=0;u<i.length;u++){var c=i[u];if(!r.hasRenderableParent(c)){var f=r.getTile(c),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),v=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Ct.disabled,Fr(c.posMatrix,f,v,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),u=n.paint.get(\"line-dasharray\"),c=n.paint.get(\"line-pattern\"),f=c.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":u?\"lineSDF\":h?\"lineGradient\":\"line\",v=e.context,g=v.gl,y=!0;if(h){v.activeTexture.set(g.TEXTURE0);var m=n.gradientTexture;if(!n.gradient)return;m||(m=n.gradientTexture=new t.Texture(v,n.gradient,g.RGBA)),m.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=y||M.program!==A,E=c.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var O=f?jr(e,w,n,p):u?Ur(e,w,n,u,p):h?Nr(e,w,n):Br(e,w,n);f?(v.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):u&&(S||e.lineAtlas.dirty)&&(v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v)),M.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Ct.disabled,O,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),y=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),u=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===u){var c=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);sn(e,r,n,i,c,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);sn(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))ln(t,e,r,n,a,Et.disabled,Lt.disabled),ln(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();ln(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],u=l[0],c=0,f=l[1];c<f.length;c+=1){var h=f[c],p=e.getTile(h);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?cn(t,p,r,a,o,Et.disabled,s):\"translucent\"===t.renderPass&&un(t,p,r,o,u[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),u=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),c=u[0],f=u[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,v=f;d<v.length;d+=1){var g=v[d],y=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),m=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);m.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,0),_=fn(m,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-m.tileID.overscaledZ),T=[m.tileID.canonical.x*w%1,m.tileID.canonical.y*w%1]):m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=qr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Ct.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,c[g.overscaledZ],l,Ct.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,u=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(u)){var c=!u&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===c){var f=Et.disabled,h=t.depthModeForSublayer(0,\"opaque\"===c?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(u?\"backgroundPattern\":\"background\"),v=s.coveringTiles({tileSize:l});u&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,m=v;y<m.length;y+=1){var x=m[y],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=u?Kr(b,i,t,u,{tileID:x,tileSize:l},g):Jr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Ct.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)_n(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o=\"3d\"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Tn=function(t,e){this.context=new Pt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ot.maxUnderzooming+Ot.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Tn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},Tn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,We.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,We.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,O.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,We.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Tn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,Lt.disabled,Ct.disabled,Rr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Tn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Lt.disabled,Ct.disabled,Rr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Tn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Tn.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)},Tn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Tn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Lt([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Lt.unblended:Lt.alphaBlended},Tn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Tn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Tn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,u,c={},f={},h={};for(var p in a){var d=a[p];c[p]=d.getVisibleCoordinates(),f[p]=c[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var v=0;v<i.length;v++){var g=i[v];if(this.style._layers[g].is3D()){this.opaquePassCutoff=v;break}}this.renderPass=\"offscreen\";for(var y=0,m=i;y<m.length;y+=1){var x=m[y],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,c[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(u&&u.id)&&(u=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<u.getSource().maxzoom)&&(l=u))})),l&&wn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&yn(this),this.context.setDefault()},Tn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),wn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Tn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},Tn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Tn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Tn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},Tn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var u=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],c=new Float32Array(16);return t.translate(c,e,u),c},Tn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Tn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Tn.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},Tn.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 kr(this.context,wr[t],e,$r[t],this._showOverdrawInspector)),this.cache[r]},Tn.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()},Tn.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)},Tn.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)}},Tn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var kn=function(t,e){this.points=t,this.planes=e};kn.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 kn(a,o)};var An=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};An.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new An(n,i)},An.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},An.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},An.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];u=Math.min(u,h),c=Math.max(c,h)}if(c<0||u>this.max[l]-this.min[l])return 0}return 1};var Mn=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};Mn.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},Mn.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)},Mn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Mn.prototype.clone=function(){return new Mn(this.top,this.bottom,this.left,this.right)},Mn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Sn=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 Mn,this._posMatrixCache={},this._alignedPosMatrixCache={}},En={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}};Sn.prototype.clone=function(){var t=new Sn(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},En.minZoom.get=function(){return this._minZoom},En.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},En.maxZoom.get=function(){return this._maxZoom},En.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},En.minPitch.get=function(){return this._minPitch},En.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},En.maxPitch.get=function(){return this._maxPitch},En.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},En.renderWorldCopies.get=function(){return this._renderWorldCopies},En.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},En.worldSize.get=function(){return this.tileSize*this.scale},En.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},En.size.get=function(){return new t.Point(this.width,this.height)},En.bearing.get=function(){return-this.angle/Math.PI*180},En.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))},En.pitch.get=function(){return this._pitch/Math.PI*180},En.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())},En.fov.get=function(){return this._fov/Math.PI*180},En.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())},En.zoom.get=function(){return this._zoom},En.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())},En.center.get=function(){return this._center},En.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},En.padding.get=function(){return this._edgeInsets.toJSON()},En.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},En.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Sn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Sn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Sn.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)},Sn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Sn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=kn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new An([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-v.zoom)-2;if(v.zoom===h||w>T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Sn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},En.unmodified.get=function(){return this._unmodified},Sn.prototype.zoomScale=function(t){return Math.pow(2,t)},Sn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Sn.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)},Sn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},En.point.get=function(){return this.project(this.center)},Sn.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())},Sn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Sn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Sn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Sn.prototype.coordinateLocation=function(t){return t.toLngLat()},Sn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Sn.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])},Sn.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)))},Sn.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},Sn.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])},Sn.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]},Sn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Sn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<u.y?u.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<u.x?u.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var v=p.y,g=u.y/2;v-g<a&&(i=a+g),v+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-m<s&&(n=s+m),y+m>l&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Sn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Sn.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},Sn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Sn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var u=l[s];n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(Sn.prototype,En);var Ln=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};Ln.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},Ln.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Ln.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),u=this._map.getPitch(),c=\"\";if(c+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||u)&&(c+=\"/\"+Math.round(10*l)/10),u&&(c+=\"/\"+Math.round(u)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+c):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+c),\"#\"+p.join(\"&\")}return\"#\"+c},Ln.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},Ln.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Ln.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var Cn={linearity:.3,easing:t.bezier(0,0,.3,1)},Pn=t.extend({deceleration:2500,maxSpeed:1400},Cn),On=t.extend({deceleration:20,maxSpeed:1400},Cn),In=t.extend({deceleration:1e3,maxSpeed:360},Cn),Dn=t.extend({deceleration:1e3,maxSpeed:90},Cn),zn=function(t){this._map=t,this.clear()};function Rn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Fn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}zn.prototype.clear=function(){this._inertiaBuffer=[]},zn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},zn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},zn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Fn(r.pan.mag(),o,t.extend({},Pn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,Rn(s,l)}if(r.zoom){var u=Fn(r.zoom,o,On);s.zoom=this._map.transform.zoom+u.amount,Rn(s,u)}if(r.bearing){var c=Fn(r.bearing,o,In);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),Rn(s,c)}if(r.pitch){var f=Fn(r.pitch,o,Dn);s.pitch=this._map.transform.pitch+f.amount,Rn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Bn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Nn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),u=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),c=i.unproject(u);e.call(this,n,{points:s,point:u,lngLats:l,lngLat:c,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),jn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Un=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Un.prototype.reset=function(){delete this._mousedownPos},Un.prototype.wheel=function(t){return this._firePreventable(new jn(t.type,this._map,t))},Un.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Bn(t.type,this._map,t))},Un.prototype.mouseup=function(t){this._map.fire(new Bn(t.type,this._map,t))},Un.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Bn(t.type,this._map,t))},Un.prototype.dblclick=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Un.prototype.mouseover=function(t){this._map.fire(new Bn(t.type,this._map,t))},Un.prototype.mouseout=function(t){this._map.fire(new Bn(t.type,this._map,t))},Un.prototype.touchstart=function(t){return this._firePreventable(new Nn(t.type,this._map,t))},Un.prototype.touchmove=function(t){this._map.fire(new Nn(t.type,this._map,t))},Un.prototype.touchend=function(t){this._map.fire(new Nn(t.type,this._map,t))},Un.prototype.touchcancel=function(t){this._map.fire(new Nn(t.type,this._map,t))},Un.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Un.prototype.isEnabled=function(){return!0},Un.prototype.isActive=function(){return!1},Un.prototype.enable=function(){},Un.prototype.disable=function(){};var Vn=function(t){this._map=t};Vn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Vn.prototype.mousemove=function(t){this._map.fire(new Bn(t.type,this._map,t))},Vn.prototype.mousedown=function(){this._delayContextMenu=!0},Vn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Bn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Vn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Bn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Vn.prototype.isEnabled=function(){return!0},Vn.prototype.isActive=function(){return!1},Vn.prototype.enable=function(){},Vn.prototype.disable=function(){};var Hn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function qn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Hn.prototype.isEnabled=function(){return!!this._enabled},Hn.prototype.isActive=function(){return!!this._active},Hn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Hn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Hn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Hn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Hn.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Hn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Hn.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Hn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Gn=function(t){this.reset(),this.numTouches=t.numTouches};Gn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Gn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=qn(n,r)))},Gn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=qn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Gn.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 Zn=function(t){this.singleTap=new Gn(t),this.numTaps=t.numTaps,this.reset()};Zn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Zn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Zn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Zn.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 Yn=function(){this._zoomIn=new Zn({numTouches:1,numTaps:2}),this._zoomOut=new Zn({numTouches:2,numTaps:1}),this.reset()};Yn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Yn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Yn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Yn.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},Yn.prototype.touchcancel=function(){this.reset()},Yn.prototype.enable=function(){this._enabled=!0},Yn.prototype.disable=function(){this._enabled=!1,this.reset()},Yn.prototype.isEnabled=function(){return this._enabled},Yn.prototype.isActive=function(){return this._active};var Wn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Wn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Wn.prototype._correctButton=function(t,e){return!1},Wn.prototype._move=function(t,e){return{}},Wn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Wn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Wn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Wn.prototype.enable=function(){this._enabled=!0},Wn.prototype.disable=function(){this._enabled=!1,this.reset()},Wn.prototype.isEnabled=function(){return this._enabled},Wn.prototype.isActive=function(){return this._active};var Xn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Wn),Jn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Wn),Kn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Wn),$n=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};$n.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},$n.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},$n.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},$n.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},$n.prototype.touchcancel=function(){this.reset()},$n.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=qn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},$n.prototype.enable=function(){this._enabled=!0},$n.prototype.disable=function(){this._enabled=!1,this.reset()},$n.prototype.isEnabled=function(){return this._enabled},$n.prototype.isActive=function(){return this._active};var Qn=function(){this.reset()};function ti(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Qn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Qn.prototype._start=function(t){},Qn.prototype._move=function(t,e,r){return{}},Qn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Qn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ti(r,e,i),s=ti(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Qn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ti(n,e,a),l=ti(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Qn.prototype.touchcancel=function(){this.reset()},Qn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Qn.prototype.disable=function(){this._enabled=!1,this.reset()},Qn.prototype.isEnabled=function(){return this._enabled},Qn.prototype.isActive=function(){return this._active};function ei(t,e){return Math.log(t/e)/Math.LN2}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(ei(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:ei(this._distance,r),pinchAround:e}},e}(Qn);function ni(t,e){return 180*t.angleWith(e)/Math.PI}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:ni(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=ni(t,this._startVector);return Math.abs(r)<e},e}(Qn);function ai(t){return Math.abs(t.y)>Math.abs(t.x)}var oi=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,ai(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 ai(t)&&ai(e)&&a}},e}(Qn),si={panStep:100,bearingStep:15,pitchStep:10},li=function(){var t=si;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function ui(t){return t*(2-t)}li.prototype.reset=function(){this._active=!1},li.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{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:ui,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})}}}},li.prototype.enable=function(){this._enabled=!0},li.prototype.disable=function(){this._enabled=!1,this.reset()},li.prototype.isEnabled=function(){return this._enabled},li.prototype.isActive=function(){return this._active};var ci=4.000244140625,fi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};fi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},fi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},fi.prototype.isEnabled=function(){return!!this._enabled},fi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},fi.prototype.isZooming=function(){return!!this._zooming},fi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},fi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},fi.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%ci==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()}},fi.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},fi.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())}},fi.prototype.renderFrame=function(){return this._onScrollFrame()},fi.prototype._onScrollFrame=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)>ci?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if(\"wheel\"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},fi.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},fi.prototype.reset=function(){this._active=!1};var hi=function(t,e){this._clickZoom=t,this._tapZoom=e};hi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},hi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},hi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},hi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var pi=function(){this.reset()};pi.prototype.reset=function(){this._active=!1},pi.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})}}},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};var di=function(){this._tap=new Zn({numTouches:1,numTaps:1}),this.reset()};di.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},di.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))},di.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)},di.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)},di.prototype.touchcancel=function(){this.reset()},di.prototype.enable=function(){this._enabled=!0},di.prototype.disable=function(){this._enabled=!1,this.reset()},di.prototype.isEnabled=function(){return this._enabled},di.prototype.isActive=function(){return this._active};var vi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};vi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},vi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},vi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},vi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var gi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};gi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},gi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},gi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},gi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var yi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};yi.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\")},yi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},yi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},yi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},yi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},yi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var mi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},xi=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 bi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var _i=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new zn(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:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1],c=s[2];r.addEventListener(l,u,l===t.window.document?this.handleWindowEvent:this.handleEvent,c)}};_i.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},_i.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Un(e,t));var n=e.boxZoom=new Hn(e,t);this._add(\"boxZoom\",n);var i=new Yn,a=new pi;e.doubleClickZoom=new hi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new di;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new oi;this._add(\"touchPitch\",s);var l=new Jn(t),u=new Kn(t);e.dragRotate=new gi(t,l,u),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",u,[\"mouseRotate\"]);var c=new Xn(t),f=new $n(t);e.dragPan=new vi(r,c,f),this._add(\"mousePan\",c),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ii,p=new ri;e.touchZoomRotate=new yi(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new fi(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var v=e.keyboard=new li;this._add(\"keyboard\",v),this._add(\"blockableMapEvent\",new Vn(e));for(var g=0,y=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<y.length;g+=1){var m=y[g];t.interactive&&t[m]&&e[m].enable(t[m])}},_i.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},_i.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1)e[t].handler.reset();this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},_i.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},_i.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},_i.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},_i.prototype.isMoving=function(){return Boolean(mi(this._eventsInProgress))||this.isZooming()},_i.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},_i.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},_i.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},_i.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),u=0,c=this._handlers;u<c.length;u+=1){var f=c[u],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var v=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(v=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,v,h,n),v&&v.needsRenderFrame&&this._triggerRenderFrame()),(v||p.isActive())&&(o[h]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||bi(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||bi(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],m(this._map))}else this.stop()},_i.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},_i.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],u=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,u)}this._updateMapTransform(e,r,n),this._changes=[]},_i.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!bi(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,u=t.around,c=t.pinchAround;void 0!==c&&(u=c),n._stop(!0),u=u||n.transform.centerPoint;var f=i.pointLocation(a?u.sub(a):u);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,u),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},_i.prototype._fireEvents=function(e,r){var n=this,i=mi(this._eventsInProgress),a=mi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+\"start\"]=l),this._eventsInProgress[s]=e[s]}for(var u in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(u,o[u]);for(var c in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e){var f=e[c].originalEvent;this._fireEvent(c,f)}var h,p={};for(var d in this._eventsInProgress){var v=this._eventsInProgress[d],g=v.handlerName,y=v.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||y,p[d+\"end\"]=h)}for(var m in p)this._fireEvent(m,p[m]);var x=mi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},_i.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},_i.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new xi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var wi=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,u=s.project(t.LngLat.convert(e)),c=s.project(t.LngLat.convert(r)),f=u.rotate(-n*Math.PI/180),h=c.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),v=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/v.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/v.y;if(!(y<0||g<0)){var m=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(w)),zoom:m,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),u=\"zoom\"in e?+e.zoom:a,c=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),v=i.pointLocation(d),g=t.LngLat.convert(e.center||v);this._normalizeCenter(g);var y,m,x=i.project(v),b=i.project(g).sub(x),_=i.zoomScale(u-a);e.around&&(y=t.LngLat.convert(e.around),m=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||u!==a,this._rotating=this._rotating||o!==c,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,u,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,m);else{var v=i.zoomScale(i.zoom-a),g=u>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},D=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=T<w?-1:1;D=Math.abs(Math.log(T/w))/_,I=function(){return 0},O=function(t){return Math.exp(z*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*D/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Ti=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Ti.prototype.getDefaultPosition=function(){return\"bottom-right\"},Ti.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._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),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},Ti.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},Ti.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},Ti.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ti.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Ti.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var ki=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};ki.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},ki.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},ki.prototype.getDefaultPosition=function(){return\"bottom-left\"},ki.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},ki.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}},ki.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 Ai=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ai.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ai.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},Ai.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Ai.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Mi={\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},Si=t.window.HTMLImageElement,Ei=t.window.HTMLElement,Li=t.window.ImageBitmap,Ci=60,Pi={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:Ci,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Oi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Pi,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>Ci)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new Sn(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 Ai,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Mi,e.locale),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 Ei))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\",\"_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)),this.handlers=new _i(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Ln(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 Ti({customAttribution:e.customAttribution})),this.addControl(new ki,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&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"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.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?Ci:t)>Ci)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 Bn(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 Bn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Bn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Ye(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new Ye(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof Si||Li&&r instanceof Li){var u=t.browser.getImageData(r),c=u.width,f=u.height,h=u.data;this.style.addImage(e,{data:new t.RGBAImage({width:c,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,v=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(v)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof Si||Li&&r instanceof Li?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof Si||Li&&r instanceof Li);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new Tn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var u=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),c=u.crossFadingFactor();1===c&&c===this._crossFadingFactor||(o=!0,this._crossFadingFactor=c),this.style.update(u)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Ii(this._canvasContainer),Ii(this._controlContainer),Ii(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(wi);function Ii(t){t.parentNode&&t.parentNode.removeChild(t)}var Di={showCompass:!0,showZoom:!0,visualizePitch:!1},zi=function(e){var n=this;this.options=t.extend({},Di,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};zi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},zi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},zi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ri(this._map,this._compass,this.options.visualizePitch)),this._container},zi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},zi.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},zi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ri=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Jn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Kn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Fi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ri.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ri.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)}},Ri.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()},Ri.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ri.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)},Ri.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ri.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ri.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))},Ri.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))},Ri.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ri.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var Bi={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 Ni(t,e,r){var n=t.classList;for(var i in Bi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var ji,Ui=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var u=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");u.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),u.setAttributeNS(null,\"fill\",\"#000000\");for(var c=0,f=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];c<f.length;c+=1){var h=f[c],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",h.rx),p.setAttributeNS(null,\"ry\",h.ry),u.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.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\"),d.appendChild(v);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"fill\",\"#000000\");var y=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");y.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\"),g.appendChild(y);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),m.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(u),l.appendChild(d),l.appendChild(g),l.appendChild(m),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Ni(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[r,-1*(24.6+r)],\"bottom-right\":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Fi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,Bi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){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._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._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),Vi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Hi=0,qi=!1,Gi=function(e){function n(r){e.call(this),this.options=t.extend({},Vi,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!==ji?n(ji):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){ji=\"denied\"!==t.state,n(ji)})):(ji=!!t.window.navigator.geolocation,n(ji)),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,Hi=0,qi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&qi)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 Ui(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Ui({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\":Hi--,qi=!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\"),++Hi>1?(e={maximumAge:6e5,timeout:0},qi=!0):(e=this.options.positionOptions,qi=!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),Zi={maxWidth:100,unit:\"metric\"},Yi=function(e){this.options=t.extend({},Zi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Wi(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?Xi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):Xi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?Xi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?Xi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Xi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Xi(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}Yi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Yi.prototype._onMove=function(){Wi(this._map,this._container,this.options)},Yi.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},Yi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Yi.prototype.setUnit=function(t){this.options.unit=t,Wi(this._map,this._container,this.options)};var Ji=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\")};Ji.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},Ji.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Ji.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Ji.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)},Ji.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Ji.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Ji.prototype._isFullscreen=function(){return this._fullscreen},Ji.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())},Ji.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 Ki={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},$i=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Ki),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._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){return this._createContent(),this._content.appendChild(t),this._update(),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.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Fi(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=Qi(this.options.offset);if(!a){var s,l=this._container.offsetWidth,u=this._container.offsetHeight;s=i.y+o.bottom.y<u?[\"top\"]:i.y>this._map.transform.height-u?[\"bottom\"]:[],i.x<l/2?s.push(\"left\"):i.x>this._map.transform.width-l/2&&s.push(\"right\"),a=0===s.length?\"bottom\":s.join(\"-\")}var c=i.add(o[a]).round();r.setTransform(this._container,Bi[a]+\" translate(\"+c.x+\"px,\"+c.y+\"px)\"),Ni(this._container,a,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function Qi(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 Qi(new t.Point(0,0))}var ta={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Oi,NavigationControl:zi,GeolocateControl:Gi,AttributionControl:Ti,ScaleControl:Yi,FullscreenControl:Ji,Popup:$i,Marker:Ui,Style:Ye,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. 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e=[u(t.region,!1)];c.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return u(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return c.length<=0?{type:\"Polygon\",coordinates:[]}:1==c.length?{type:\"Polygon\",coordinates:c[0]}:{type:\"MultiPolygon\",coordinates:c}}};t.exports=e},87263:function(t,e,r){var n=r(26859);t.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return i=t.isStart,a=t.pt,o=r,s=n.isStart,l=n.pt,u=n.other.pt,(0!==(c=e.pointsCompare(a,l))?c:e.pointsSame(o,u)?0:i!==s?i?1:-1:e.pointAboveOrOnLine(o,s?l:u,s?u:l)?1:-1)<0;var i,a,o,s,l,u,c}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function u(i,o){var s=n.create();function u(t){return s.findTransition((function(r){var n,i,a,o,s,l;return n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,(e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function c(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,u=a.start,c=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,u,c);if(!1===f){if(!e.pointsCollinear(o,s,u))return!1;if(e.pointsSame(o,c)||e.pointsSame(s,u))return!1;var h=e.pointsSame(o,u),p=e.pointsSame(s,c);if(h&&p)return n;var d=!h&&e.pointBetween(o,u,c),v=!p&&e.pointBetween(s,u,c);if(h)return v?l(n,s):l(t,c),n;d&&(p||(v?l(n,s):l(t,c)),l(n,o))}else 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],u=o[0],c=o[1];e.pointsCollinear(l,s,u)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,u,c)&&(r&&r.chainRemoveHead(i,u),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},55968:function(t){function e(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r},14847:function(t,e,r){\"use 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t&&(t=x[t]),null!=t&&t&&t.count&&t.color&&t.opacity&&t.positions&&t.positions.length>1&&(t.scaleRatio=[t.scale[0]*t.viewport.width,t.scale[1]*t.viewport.height],r(t),t.after&&t.after(t))}function T(t){if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var e=0,r=0;if(b.groups=x=t.map((function(t,u){var c=x[u];return t?(\"function\"==typeof t?t={after:t}:\"number\"==typeof t[0]&&(t={positions:t}),t=o(t,{color:\"color colors fill\",capSize:\"capSize cap capsize cap-size\",lineWidth:\"lineWidth line-width width line thickness\",opacity:\"opacity alpha\",range:\"range dataBox\",viewport:\"viewport viewBox\",errors:\"errors error\",positions:\"positions position data points\"}),c||(x[u]=c={id:u,scale:null,translate:null,scaleFract:null,translateFract:null,draw:!0},t=s({},m,t)),a(c,t,[{lineWidth:function(t){return.5*+t},capSize:function(t){return.5*+t},opacity:parseFloat,errors:function(t){return t=l(t),r+=t.length,t},positions:function(t,r){return t=l(t,\"float64\"),r.count=Math.floor(t.length/2),r.bounds=n(t,2),r.offset=e,e+=r.count,t}},{color:function(t,e){var r=e.count;if(t||(t=\"transparent\"),!Array.isArray(t)||\"number\"==typeof t[0]){var n=t;t=Array(r);for(var a=0;a<r;a++)t[a]=n}if(t.length<r)throw Error(\"Not enough colors\");for(var o=new Uint8Array(4*r),s=0;s<r;s++){var l=i(t[s],\"uint8\");o.set(l,4*s)}return o},range:function(t,e,r){var n=e.bounds;return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=f(e.scale),e.translateFract=f(e.translate),t},viewport:function(t){var e;return Array.isArray(t)?e={x:t[0],y:t[1],width:t[2]-t[0],height:t[3]-t[1]}:t?(e={x:t.x||t.left||0,y:t.y||t.top||0},t.right?e.width=t.right-e.x:e.width=t.w||t.width||0,t.bottom?e.height=t.bottom-e.y:e.height=t.h||t.height||0):e={x:0,y:0,width:y.drawingBufferWidth,height:y.drawingBufferHeight},e}}]),c):c})),e||r){var h=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*h),_=new Uint8Array(4*h),w=new Float32Array(4*h);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(_.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=c(g);u(T);var k=f(g,T);p(k),d(_),v(w)}}}function k(){u.destroy(),p.destroy(),d.destroy(),v.destroy(),g.destroy()}};var h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},46075:function(t,e,r){\"use strict\";var n=r(25075),i=r(21527),a=r(56131),o=r(56068),s=r(71299),l=r(30120),u=r(11474),c=r(54),f=r(57060),h=f.float32,p=f.fract32,d=r(83522),v=r(18863),g=r(6851);function y(t,e){if(!(this instanceof y))return new y(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=y.shaders.has(t)?y.shaders.get(t):y.shaders.set(t,y.createShaders(t)).get(t),this.update(e)}t.exports=y,y.dashMult=2,y.maxPatternLength=256,y.precisionThreshold=3e6,y.maxPoints=1e4,y.maxLines=2048,y.shaders=new d,y.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = 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t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>y.precisionThreshold||e.scale[1]*e.viewport.height>y.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=y.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},y.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin 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Uint8Array})},t=a({},y.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,f<y.maxLines&&(d.depth=2*(y.maxLines-1-f%y.maxLines)/y.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(d.viewport=v(t.viewport)),d.viewport||(d.viewport=v([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var m,x;if(t.positions.x&&t.positions.y){var b=t.positions.x,_=t.positions.y;x=d.count=Math.max(b.length,_.length),m=new Float64Array(2*x);for(var w=0;w<x;w++)m[2*w]=b[w],m[2*w+1]=_[w]}else m=l(t.positions,\"float64\"),x=d.count=Math.floor(m.length/2);var T=d.bounds=i(m,2);if(d.fill){for(var k=[],A={},M=0,S=0,E=0,L=d.count;S<L;S++){var C=m[2*S],P=m[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=m[2*M],P=m[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var O=Object.keys(A).map(Number).sort((function(t,e){return t-e})),I=[],D=0,z=null!=d.hole?d.hole[0]:null;if(null!=z){var R=g(O,(function(t){return t>=z}));(O=O.slice(0,R)).push(z)}for(var F=function(t){var e=k.slice(2*D,2*O[t]).concat(z?k.slice(2*z):[]),r=(d.hole||[]).map((function(e){return e-z+(O[t]-D)})),n=u(e,r);n=n.map((function(e){return e+D+(e+D<O[t]?0:z-O[t])})),I.push.apply(I,n),D=O[t]+1},B=0;B<O.length;B++)F(B);for(var N=0,j=I.length;N<j;N++)null!=A[I[N]]&&(I[N]=A[I[N]]);d.triangles=I}else{for(var U=u(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(m);c(q,2,T);var G=new Float64Array(2*x+6);d.close?m[0]===m[2*x-2]&&m[1]===m[2*x-1]?(G[0]=q[2*x-4],G[1]=q[2*x-3]):(G[0]=q[2*x-2],G[1]=q[2*x-1]):(G[0]=q[0],G[1]=q[1]),G.set(q,2),d.close?m[0]===m[2*x-2]&&m[1]===m[2*x-1]?(G[2*x+2]=q[2],G[2*x+3]=q[3],d.count-=1):(G[2*x+2]=q[0],G[2*x+3]=q[1],G[2*x+4]=q[2],G[2*x+5]=q[3]):(G[2*x+2]=q[2*x-2],G[2*x+3]=q[2*x-1],G[2*x+4]=q[2*x-2],G[2*x+5]=q[2*x-1]);var Z=h(G);d.positionBuffer(Z);var Y=p(G,Z);d.positionFractBuffer(Y)}if(t.range?d.range=t.range:d.range||(d.range=d.bounds),(t.range||t.positions)&&d.count){var W=d.bounds,X=W[2]-W[0],J=W[3]-W[1],K=d.range[2]-d.range[0],$=d.range[3]-d.range[1];d.scale=[X/K,J/$],d.translate=[-d.range[0]/K+W[0]/K||0,-d.range[1]/$+W[1]/$||0],d.scaleFract=p(d.scale),d.translateFract=p(d.translate)}if(t.dashes){var Q,tt=0;if(!t.dashes||t.dashes.length<2)tt=1,Q=new Uint8Array([255,255,255,255,255,255,255,255]);else{tt=0;for(var et=0;et<t.dashes.length;++et)tt+=t.dashes[et];Q=new Uint8Array(tt*y.dashMult);for(var rt=0,nt=255,it=0;it<2;it++)for(var at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*y.dashMult*.5;ot<st;++ot)Q[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:Q,width:Q.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=d.count,ut=t.color;ut||(ut=\"transparent\");var ct=new Uint8Array(4*lt+4);if(Array.isArray(ut)&&\"number\"!=typeof ut[0]){for(var ft=0;ft<lt;ft++){var ht=n(ut[ft],\"uint8\");ct.set(ht,4*ft)}ct.set(n(ut[0],\"uint8\"),4*lt)}else for(var pt=n(ut,\"uint8\"),dt=0;dt<lt+1;dt++)ct.set(pt,4*dt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ct})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var m=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&m.push(this.passes[x]);return this.passes=m,this}},y.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},11870:function(t,e,r){\"use strict\";function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){var r=null==t?null:\"undefined\"!=typeof Symbol&&t[Symbol.iterator]||t[\"@@iterator\"];if(null!=r){var n,i,a=[],o=!0,s=!1;try{for(r=r.call(t);!(o=(n=r.next()).done)&&(a.push(n.value),!e||a.length!==e);o=!0);}catch(t){s=!0,i=t}finally{try{o||null==r.return||r.return()}finally{if(s)throw i}}return a}}(t,e)||i(t,e)||function(){throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function i(t,e){if(t){if(\"string\"==typeof t)return a(t,e);var r=Object.prototype.toString.call(t).slice(8,-1);return\"Object\"===r&&t.constructor&&(r=t.constructor.name),\"Map\"===r||\"Set\"===r?Array.from(t):\"Arguments\"===r||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r)?a(t,e):void 0}}function a(t,e){(null==e||e>t.length)&&(e=t.length);for(var r=0,n=new Array(e);r<e;r++)n[r]=t[r];return n}var o=r(25075),s=r(21527),l=r(6475),u=r(88294),c=r(56131),f=r(56068),h=r(71299),p=r(93447),d=r(30120),v=r(62683),g=r(57060),y=r(18863),m=x;function x(t,e){var r=this;if(!(this instanceof x))return new x(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,i=(t=e.regl)._gl,a=[];this.tooManyColors=v,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),c(this,{regl:t,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:i.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return e.borderSize.length?{buffer:e.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*e.borderSize/r.maxSize)]}},colorId:function(t,e){return e.color.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?a.slice(4*e.color,4*e.color+4):[e.color]}},borderColorId:function(t,e){return e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\"),stencil:{enable:!1},depth:{enable:!1},elements:t.prop(\"elements\"),count:t.prop(\"count\"),offset:t.prop(\"offset\"),primitive:\"points\"},s=c({},o);s.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float opacity;\\nuniform sampler2D markerTexture;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float dist = texture2D(markerTexture, gl_PointCoord).r, delta = fragWidth;\\n\\n  // max-distance alpha\\n  if (dist < 0.003) discard;\\n\\n  // null-border case\\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\\n  }\\n  else {\\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\\n\\n    vec4 color = fragBorderColor;\\n    color.a *= borderColorAmt;\\n    color = mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=c({},o);l.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),v&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}x.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},x.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},x.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},x.prototype.drawItem=function(t,e){var r,n=this.groups,o=n[t];if(\"number\"==typeof e&&(t=e,o=n[e],e=null),o&&o.count&&o.opacity){o.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,o,e));for(var s=[],l=1;l<o.activation.length;l++)o.activation[l]&&(!0===o.activation[l]||o.activation[l].data.length)&&s.push.apply(s,function(t){if(Array.isArray(t))return a(t)}(r=this.getMarkerDrawOptions(l,o,e))||function(t){if(\"undefined\"!=typeof Symbol&&null!=t[Symbol.iterator]||null!=t[\"@@iterator\"])return Array.from(t)}(r)||i(r)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}());s.length&&this.drawMarker(s)}},x.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,u=e.count;if(this.regl,!a)return r?[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var f=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(u),v=0;v<r.length;v++){var g=r[v];d[g]=p?p[g]:1}l.subdata(d)}for(var y=h.length;y--;){var m=n(h[y],2),x=m[0],b=m[1];f.push(c({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return f},x.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,l=this.maxSize,f=this.maxColors,v=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=h(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=c({},x.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var m=0,b=0;if(p(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=x.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=x.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=x.defaults.color),e=t.updateColor(e),b++,e},borderColor:function(e,r){return null==e&&(e=x.defaults.borderColor),e=t.updateColor(e),b++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,l=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=d(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?s(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=g.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:g.fract32(t,p),usage:\"dynamic\"}),l({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var u=t.addMarker(e[s]);a[u]||(a[u]=new Uint8Array(r.count)),a[u][s]=1}for(var c=0;c<a.length;c++)if(a[c]){var f={data:a[c],type:\"uint8\",usage:\"static\"};i[c]?i[c](f):i[c]=o.buffer(f),i[c].data=a[c]}}else i[t.addMarker(e)]=!0;return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=g.fract(e.scale),e.translateFract=g.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/l),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/l);A({data:M,usage:\"dynamic\"})}if(b){var E,L=n,C=L.count,P=L.color,O=L.borderColor,I=L.colorBuffer;if(t.tooManyColors){if(P.length||O.length){E=new Uint8Array(8*C);for(var D=0;D<C;D++){var z=P[D];E[8*D]=v[4*z],E[8*D+1]=v[4*z+1],E[8*D+2]=v[4*z+2],E[8*D+3]=v[4*z+3];var R=O[D];E[8*D+4]=v[4*R],E[8*D+5]=v[4*R+1],E[8*D+6]=v[4*R+2],E[8*D+7]=v[4*R+3]}}}else if(P.length||O.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%f,E[4*F+1]=Math.floor(P[F]/f)),null!=O[F]&&(E[4*F+2]=O[F]%f,E[4*F+3]=Math.floor(O[F]/f))}I({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},x.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},x.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var s=0;s<t.length;s+=4)a.push(t.slice(s,s+4));else for(var u=0;u<t.length;u+=4)a.push(t.subarray(u,u+4));t=a}for(var c=0;c<t.length;c++){var f=t[c];f=o(f,\"uint8\");var h=l(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[c]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},x.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},x.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var b=r(56131);t.exports=function(t,e){var r=new m(t,e),n=r.render.bind(r);return b(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},60487:function(t,e,r){\"use strict\";var n=r(11870),i=r(71299),a=r(21527),o=r(5877),s=r(57471),l=r(18863),u=r(30120);function c(t,e){if(!(this instanceof c))return new c(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x,s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y,l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}t.exports=c,c.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},c.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,u=0;u<l.length;u++)i.push(this.passes[l[u]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},c.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency 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Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(u(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var c=0;c<s.columns;c++)s.bounds[c]=a(o.data[c],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var v=s.columns,g=s.count,y=s.viewport.width,m=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=y/v,w=m/v;s.passes=[];for(var T=0;T<v;T++)for(var k=0;k<v;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:g,stride:v},y:{buffer:s.buffer,offset:T,count:g,stride:v}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],O=E[3];M.viewport=[x+L*y+S[0],b+C*m+S[1],x+P*y-S[2],b+O*m-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},c.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var u=e[i],c=this.traces[i],f=c.passes,h=c.passOffset;f=f.map((function(t,e){n[h+e]=u}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},c.prototype.destroy=function(){return this.traces.forEach((function(t){t.buffer&&t.buffer.destroy&&t.buffer.destroy()})),this.traces=null,this.passes=null,this.scatter.destroy(),this}},98580:function(t){t.exports=function(){function t(t,e){this.id=Z++,this.type=t,this.data=e}function e(t){if(0===t.length)return[];var r=t.charAt(0),n=t.charAt(t.length-1);if(1<t.length&&r===n&&('\"'===r||\"'\"===r))return['\"'+t.substr(1,t.length-2).replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];if(r=/\\[(false|true|null|\\d+|'[^']*'|\"[^\"]*\")\\]/.exec(t))return e(t.substr(0,r.index)).concat(e(r[1])).concat(e(t.substr(r.index+r[0].length)));if(1===(r=t.split(\".\")).length)return['\"'+t.replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];for(t=[],n=0;n<r.length;++n)t=t.concat(e(r[n]));return t}function r(t){return\"[\"+e(t).join(\"][\")+\"]\"}function n(t){return\"string\"==typeof t?t.split():t}function i(t){return\"string\"==typeof t?document.querySelector(t):t}function a(t){var e,r,a,o,s=t||{};t={};var 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n=r(56131);function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var 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