From c978dad9859e7a9528e12de98c11eb291f203969 Mon Sep 17 00:00:00 2001 From: hechth Date: Mon, 13 Nov 2023 12:34:50 +0100 Subject: [PATCH 1/7] Finalize plots for paper Fixes #13 --- .../chemical_composition_boxplot.ipynb | 123 ++- .../chemical_composition_boxplot.png | Bin 187690 -> 190188 bytes .../chemical_composition_boxplot2.png | Bin 168148 -> 170828 bytes .../chemical_composition_boxplot2_N.png | Bin 211966 -> 216130 bytes .../chemical_composition_boxplot_N.png | Bin 200269 -> 205796 bytes analysis/Python_scripts/scatter_plot.png | Bin 81508 -> 162957 bytes analysis/Python_scripts/scatterplot.ipynb | 980 ++++++++++++------ analysis/Python_scripts/utils.py | 4 +- 8 files changed, 756 insertions(+), 351 deletions(-) diff --git a/analysis/Python_scripts/chemical_composition_boxplot.ipynb b/analysis/Python_scripts/chemical_composition_boxplot.ipynb index 1f83e2d..6e9250f 100644 --- a/analysis/Python_scripts/chemical_composition_boxplot.ipynb +++ b/analysis/Python_scripts/chemical_composition_boxplot.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -12,7 +12,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -21,28 +21,28 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "[13:36:56] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n", - "[13:36:56] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n", - "[13:36:56] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n", - "[13:36:56] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n", - "[13:36:56] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n", - "[13:36:56] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n", - "[13:36:56] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n", - "[13:36:56] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n", - "[13:36:56] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n", - "[13:36:56] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n", - "[13:36:56] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n", - "[13:36:56] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n", - "[13:36:57] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n", - "[13:36:57] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n", - "[13:36:57] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n" + "[11:54:55] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n", + "[11:54:55] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n", + "[11:54:55] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n", + "[11:54:56] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n", + "[11:54:56] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n", + "[11:54:56] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n", + "[11:54:56] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n", + "[11:54:56] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n", + "[11:54:56] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n", + "[11:54:56] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n", + "[11:54:56] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n", + "[11:54:56] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n", + "[11:54:57] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n", + "[11:54:57] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n", + "[11:54:57] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n" ] } ], @@ -66,7 +66,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ @@ -77,12 +77,30 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 17, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/hechth/micromamba/envs/rms/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "/home/hechth/micromamba/envs/rms/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "/home/hechth/micromamba/envs/rms/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "/home/hechth/micromamba/envs/rms/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "/home/hechth/micromamba/envs/rms/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "/home/hechth/micromamba/envs/rms/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n" + ] + }, { "data": { - "image/png": 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", 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" ] @@ -90,9 +108,27 @@ "metadata": {}, "output_type": "display_data" }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/hechth/micromamba/envs/rms/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "/home/hechth/micromamba/envs/rms/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "/home/hechth/micromamba/envs/rms/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "/home/hechth/micromamba/envs/rms/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "/home/hechth/micromamba/envs/rms/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "/home/hechth/micromamba/envs/rms/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n" + ] + }, { "data": { - "image/png": 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", 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" ] @@ -111,18 +147,37 @@ "# without Nitrogen plot 1\n", "mdf_p1 = split_and_add_rows(mdf, 'true_names', split_by=', ')\n", "mdf_p1 = mdf_p1.sort_values(by=['true_names'])\n", + "mdf_p1['true_names'].replace(to_replace=\"C,O,N,H\", value=\"C,O,H\", inplace=True)\n", "\n", "create_plot(mdf_p1, '../Python_scripts/chemical_composition_boxplot.png')" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 18, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/hechth/micromamba/envs/rms/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "/home/hechth/micromamba/envs/rms/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "/home/hechth/micromamba/envs/rms/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "/home/hechth/micromamba/envs/rms/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "/home/hechth/micromamba/envs/rms/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "/home/hechth/micromamba/envs/rms/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n" + ] + }, { "data": { - "image/png": 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", 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" ] @@ -130,9 +185,27 @@ "metadata": {}, "output_type": "display_data" }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/hechth/micromamba/envs/rms/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "/home/hechth/micromamba/envs/rms/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "/home/hechth/micromamba/envs/rms/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "/home/hechth/micromamba/envs/rms/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "/home/hechth/micromamba/envs/rms/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "/home/hechth/micromamba/envs/rms/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n" + ] + }, { "data": { - "image/png": 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2:this._point=3,this._x4=t,this._y4=e,this._context.moveTo((this._x0+4*this._x1+t)/6,(this._y0+4*this._y1+e)/6);break;default:ct(this,t,e)}this._x0=this._x1,this._x1=t,this._y0=this._y1,this._y1=e}},ht.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._y0=this._y1=NaN,this._point=0},lineEnd:function(){(this._line||0!==this._line&&3===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1;break;case 1:this._point=2;break;case 2:this._point=3;var r=(this._x0+4*this._x1+t)/6,n=(this._y0+4*this._y1+e)/6;this._line?this._context.lineTo(r,n):this._context.moveTo(r,n);break;case 3:this._point=4;default:ct(this,t,e)}this._x0=this._x1,this._x1=t,this._y0=this._y1,this._y1=e}},pt.prototype={lineStart:function(){this._x=[],this._y=[],this._basis.lineStart()},lineEnd:function(){var t=this._x,e=this._y,r=t.length-1;if(r>0)for(var 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Xr=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!Be(e.expression)};Xr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},Xr.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)};var Zr=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!Be(e.expression),this.interpolationType=n};function Jr(t,e){if(\"error\"===(t=Wr(t,e)).result)return t;var r=t.value.expression,n=Fe(r);if(!n&&!zr(e))return Or([new Dt(\"\",\"data expressions not supported\")]);var i=Ne(r,[\"zoom\"]);if(!i&&!Dr(e))return Or([new Dt(\"\",\"zoom expressions not supported\")]);var a=function t(e){var r=null;if(e instanceof cr)r=t(e.result);else if(e instanceof lr)for(var n=0,i=e.args;nn.maximum?[new Ct(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function en(t){var e,r,n,i=t.valueSpec,a=Ot(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,c=\"array\"===Fr(t.value.stops)&&\"array\"===Fr(t.value.stops[0])&&\"object\"===Fr(t.value.stops[0][0]),u=Qr({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Ct(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;e=e.concat($r({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Fr(r)&&0===r.length&&e.push(new Ct(t.key,r,\"array must have at least one stop\"));return e},default:function(t){return kn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&u.push(new Ct(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||u.push(new Ct(t.key,t.value,'missing required property 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ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Pi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2i4\",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn(\"StructArrayLayout4i8\",Di);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._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i4i12\",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._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}(Pi);Fi.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2i4ub8\",Fi);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._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var 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]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn(\"StructArrayLayout8ui2ub18\",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn(\"StructArrayLayout4i4ui4i24\",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn(\"StructArrayLayout3f12\",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1ul4\",Ui);var Vi=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.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn(\"StructArrayLayout6i1ul2ui20\",Vi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Hi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i2i2i12\",Hi);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.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Pi);qi.prototype.bytesPerElement=16,Nn(\"StructArrayLayout2f1f2i16\",qi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._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=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2ub2f12\",Gi);var Yi=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){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3ui6\",Yi);var Wi=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,c,u,f,h,p,d,m,g){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=m,this.uint32[x+10]=g,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Wi);var 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.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,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=m,this.uint16[L+15]=g,this.uint16[L+16]=v,this.uint16[L+17]=y,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Pi);Xi.prototype.bytesPerElement=68,Nn(\"StructArrayLayout8i15ui1ul4f68\",Xi);var Zi=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){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Pi);Zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1f4\",Zi);var Ji=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){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3i6\",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn(\"StructArrayLayout1ul2ui8\",Ki);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){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Pi);Qi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2ui4\",Qi);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Pi);$i.prototype.bytesPerElement=2,Nn(\"StructArrayLayout1ui2\",$i);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){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}(Pi);ta.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2f8\",ta);var ea=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}(Pi);ea.prototype.bytesPerElement=16,Nn(\"StructArrayLayout4f16\",ea);var ra=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 i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Ci);ra.prototype.size=20;var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ra(this,t)},e}(Vi);Nn(\"CollisionBoxArray\",na);var ia=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Ci);ia.prototype.size=48;var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ia(this,t)},e}(Wi);Nn(\"PlacedSymbolArray\",aa);var oa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return 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nl=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<>1,u=-7,f=r?i-1:0,h=r?-1:1,p=t[e+f];for(f+=h,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+f],f+=h,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+f],f+=h,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},il=function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<>1,h=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,m=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+f>=1?h/l:h*Math.pow(2,1-f))*l>=2&&(o++,l/=2),o+f>=u?(s=0,o=u):o+f>=1?(s=(e*l-1)*Math.pow(2,i),o+=f):(s=e*Math.pow(2,f-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*m},al=ol;function ol(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new 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V=e[S.fontStack],H=V&&V[L];if(!H)continue;P=H.metrics}C=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=z*S.scale+c):(k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=P.advance*S.scale+c)}if(0!==k.length){var q=h-c;d=Math.max(q,d),Vl(k,0,k.length-1,g,A)}h=0;var G=a*_+A;T.lineOffset=Math.max(A,w),p+=G,m=Math.max(G,m),++v}else p+=a,++v}var Y;var W=p- -17,X=Ul(o),Z=X.horizontalAlign,J=X.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c=(e-r)*i,u=0;u=a!==o?-s*n- -17:(-n*l+.5)*o;for(var f=0,h=t;f=0&&n>=t&&zl[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},Il.prototype.substring=function(t,e){var r=new Il;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},Il.prototype.toString=function(){return this.text},Il.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},Il.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(Pl.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var zl={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},Dl={};function Rl(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*24/a+i:0}var s=r[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+i:0}function Fl(t,e,r,n){var i=Math.pow(t-e,2);return n?t=0,f=0,h=0;h-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],c=0;sn;)c-=l.shift().angleDelta;if(c>i)return!1;o++,s+=f.dist(h)}return!0}function Jl(t){for(var e=0,r=0;rc){var d=(c-l)/p,m=qe(f.x,h.x,d),g=qe(f.y,h.y,d),v=new ql(m,g,h.angleTo(f),u);return v._round(),!o||Zl(t,v,s,o,e)?v:void 0}l+=p}}function tc(t,e,r,n,i,a,o,s,l){var c=Kl(n,a,o),u=Ql(n,i),f=u*o,h=0===t[0].x||t[0].x===l||0===t[0].y||t[0].y===l;return e-f=0&&_=0&&w=0&&p+u<=f){var T=new ql(_,w,x,m);T._round(),i&&!Zl(e,T,o,i,a)||d.push(T)}}h+=y}l||d.length||s||(d=t(e,h/2,n,i,a,o,s,!0,c));return d}(t,h?e/2*s%e:(u/2+2*a)*o*s%e,e,c,r,f,h,!1,l)}function ec(t,e,r,n,a){for(var o=[],s=0;s=n&&h.x>=n||(f.x>=n?f=new i(n,f.y+(h.y-f.y)*((n-f.x)/(h.x-f.x)))._round():h.x>=n&&(h=new i(n,f.y+(h.y-f.y)*((n-f.x)/(h.x-f.x)))._round()),f.y>=a&&h.y>=a||(f.y>=a?f=new i(f.x+(h.x-f.x)*((a-f.y)/(h.y-f.y)),a)._round():h.y>=a&&(h=new i(f.x+(h.x-f.x)*((a-f.y)/(h.y-f.y)),a)._round()),c&&f.equals(c[c.length-1])||(c=[f],o.push(c)),c.push(h)))))}return o}function rc(t,e,r,n){var a=[],o=t.image,s=o.pixelRatio,l=o.paddedRect.w-2,c=o.paddedRect.h-2,u=t.right-t.left,f=t.bottom-t.top,h=o.stretchX||[[0,l]],p=o.stretchY||[[0,c]],d=function(t,e){return t+e[1]-e[0]},m=h.reduce(d,0),g=p.reduce(d,0),v=l-m,y=c-g,x=0,b=m,_=0,w=g,T=0,k=v,A=0,M=y;if(o.content&&n){var S=o.content;x=nc(h,0,S[0]),_=nc(p,0,S[1]),b=nc(h,S[0],S[2]),w=nc(p,S[1],S[3]),T=S[0]-x,A=S[1]-_,k=S[2]-S[0]-b,M=S[3]-S[1]-w}var E=function(n,a,l,c){var h=ac(n.stretch-x,b,u,t.left),p=oc(n.fixed-T,k,n.stretch,m),d=ac(a.stretch-_,w,f,t.top),v=oc(a.fixed-A,M,a.stretch,g),y=ac(l.stretch-x,b,u,t.left),S=oc(l.fixed-T,k,l.stretch,m),E=ac(c.stretch-_,w,f,t.top),L=oc(c.fixed-A,M,c.stretch,g),C=new i(h,d),P=new i(y,d),I=new i(y,E),O=new i(h,E),z=new i(p/s,v/s),D=new i(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),O._matMult(N),I._matMult(N)}var j=n.stretch+n.fixed,U=l.stretch+l.fixed,V=a.stretch+a.fixed,H=c.stretch+c.fixed;return{tl:C,tr:P,bl:O,br:I,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:z,pixelOffsetBR:D,minFontScaleX:k/s/u,minFontScaleY:M/s/f,isSDF:r}};if(n&&(o.stretchX||o.stretchY))for(var L=ic(h,v,m),C=ic(p,y,g),P=0;P0&&(d=Math.max(10,d),this.circleDiameter=d)}else{var m=o.top*s-l,g=o.bottom*s+l,v=o.left*s-l,y=o.right*s+l,x=o.collisionPadding;if(x&&(v-=x[0]*s,m-=x[1]*s,y+=x[2]*s,g+=x[3]*s),u){var b=new i(v,m),_=new i(y,m),w=new i(v,g),T=new i(y,g),k=u*Math.PI/180;b._rotate(k),_._rotate(k),w._rotate(k),T._rotate(k),v=Math.min(b.x,_.x,w.x,T.x),y=Math.max(b.x,_.x,w.x,T.x),m=Math.min(b.y,_.y,w.y,T.y),g=Math.max(b.y,_.y,w.y,T.y)}t.emplaceBack(e.x,e.y,v,m,y,g,r,n,a)}this.boxEndIndex=t.length},lc=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=cc),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function cc(t,e){return te?1:0}function uc(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,a=1/0,o=-1/0,s=-1/0,l=t[0],c=0;co)&&(o=u.x),(!c||u.y>s)&&(s=u.y)}var f=o-n,h=s-a,p=Math.min(f,h),d=p/2,m=new lc([],fc);if(0===p)return new i(n,a);for(var g=n;gy.d||!y.d)&&(y=b,r&&console.log(\"found best %d after %d probes\",Math.round(1e4*b.d)/1e4,x)),b.max-y.d<=e||(d=b.h/2,m.push(new hc(b.p.x-d,b.p.y-d,d,t)),m.push(new hc(b.p.x+d,b.p.y-d,d,t)),m.push(new hc(b.p.x-d,b.p.y+d,d,t)),m.push(new hc(b.p.x+d,b.p.y+d,d,t)),x+=4)}return r&&(console.log(\"num probes: \"+x),console.log(\"best distance: \"+y.d)),y.p}function fc(t,e){return e.max-t.max}function hc(t,e,r,n){this.p=new i(t,e),this.h=r,this.d=function(t,e){for(var r=!1,n=1/0,i=0;it.y!=u.y>t.y&&t.x<(u.x-c.x)*(t.y-c.y)/(u.y-c.y)+c.x&&(r=!r),n=Math.min(n,ro(t,c,u))}return(r?1:-1)*Math.sqrt(n)}(this.p,n),this.max=this.d+this.h*Math.SQRT2}lc.prototype.push=function(t){this.data.push(t),this.length++,this._up(this.length-1)},lc.prototype.pop=function(){if(0!==this.length){var t=this.data[0],e=this.data.pop();return this.length--,this.length>0&&(this.data[0]=e,this._down(0)),t}},lc.prototype.peek=function(){return this.data[0]},lc.prototype._up=function(t){for(var e=this.data,r=this.compare,n=e[t];t>0;){var i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n},lc.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,i=e[t];t=0)break;e[t]=o,t=a}e[t]=i};var pc=Number.POSITIVE_INFINITY;function dc(t,e){return e[1]!==pc?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case\"top-right\":case\"top-left\":case\"top\":i=r-7;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=7-r}switch(t){case\"top-right\":case\"bottom-right\":case\"right\":n=-e;break;case\"top-left\":case\"bottom-left\":case\"left\":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case\"top-right\":case\"top-left\":n=i-7;break;case\"bottom-right\":case\"bottom-left\":n=7-i;break;case\"bottom\":n=7-e;break;case\"top\":n=e-7}switch(t){case\"top-right\":case\"bottom-right\":r=-i;break;case\"top-left\":case\"bottom-left\":r=i;break;case\"left\":r=e;break;case\"right\":r=-e}return[r,n]}(t,e[0])}function mc(t){switch(t){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function gc(t,e,r,n,a,o,s,l,c,u,f,h,p,d,m){var g=function(t,e,r,n,a,o,s,l){for(var c=n.layout.get(\"text-rotate\").evaluate(o,{})*Math.PI/180,u=[],f=0,h=e.positionedLines;f32640&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'):\"composite\"===v.kind&&((y=[128*d.compositeTextSizes[0].evaluate(s,{},m),128*d.compositeTextSizes[1].evaluate(s,{},m)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'),t.addSymbols(t.text,g,y,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,m);for(var x=0,b=f;x=0;o--)if(n.dist(a[o])0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new pi(this.zoom),m=0,g=t;m=0;for(var O=0,z=k.sections;O=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l0},Mc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Mc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Mc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Mc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Mc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn(\"SymbolBucket\",Mc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Mc.MAX_GLYPHS=65535,Mc.addDynamicAttributes=wc;var Sc=new Si({\"symbol-placement\":new wi(Lt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new wi(Lt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new wi(Lt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ti(Lt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new wi(Lt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new wi(Lt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new wi(Lt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new wi(Lt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new wi(Lt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ti(Lt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new wi(Lt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new wi(Lt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ti(Lt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ti(Lt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new wi(Lt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new wi(Lt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ti(Lt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ti(Lt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new wi(Lt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new wi(Lt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new wi(Lt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ti(Lt.layout_symbol[\"text-field\"]),\"text-font\":new Ti(Lt.layout_symbol[\"text-font\"]),\"text-size\":new Ti(Lt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ti(Lt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new wi(Lt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ti(Lt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ti(Lt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ti(Lt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new wi(Lt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ti(Lt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new wi(Lt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new wi(Lt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ti(Lt.layout_symbol[\"text-rotate\"]),\"text-padding\":new wi(Lt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new wi(Lt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ti(Lt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ti(Lt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new wi(Lt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new wi(Lt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new wi(Lt.layout_symbol[\"text-optional\"])}),Ec={paint:new Si({\"icon-opacity\":new Ti(Lt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ti(Lt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ti(Lt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ti(Lt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ti(Lt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new wi(Lt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new wi(Lt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ti(Lt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ti(Lt.paint_symbol[\"text-color\"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ti(Lt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ti(Lt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ti(Lt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new wi(Lt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new wi(Lt.paint_symbol[\"text-translate-anchor\"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.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},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn(\"FormatSectionOverride\",Lc,{omit:[\"defaultValue\"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a\",targetMapId:n,sourceMapId:a.mapId})}}},qc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},qc.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)}},qc.prototype.processTask=function(t,e){var r=this;if(\"\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(qn(e.error)):n(null,qn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"\",sourceMapId:r.mapId,error:e?Hn(e):null,data:Hn(n,a)},a)}:function(t){i=!0},s=null,l=qn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},qc.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 Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)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(Wc.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 Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((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 Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(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=Wc.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 Wc=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\")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Wc.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 6371008.8*Math.acos(Math.min(i,1))},Wc.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 Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Wc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: , lat: }, an object {lon: , lat: }, or an array of [, ]\")};var Xc=2*Math.PI*6371008.8;function Zc(t){return Xc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Zc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Zc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Xc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.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<this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ>e&&t.canonical.y===this.canonical.y>>e},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(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 nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.prototype.isLessThan=function(t){return this.wrapt.wrap)&&(this.overscaledZt.overscaledZ)&&(this.canonical.xt.canonical.x)&&this.canonical.y=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),m=0;mn)i=!1;else if(e)if(this.expirationTimeot&&(t.getActor().send(\"enforceCacheSizeLimit\",at),ht=0)},t.clamp=l,t.clearTileCache=function(t){var e=self.caches.delete(\"mapbox-tiles\");t&&e.catch(t).then((function(){return t()}))},t.clipLine=ec,t.clone=function(t){var e=new fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=x,t.clone$2=function(t){var e=new fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=tl,t.config=F,t.create=function(){var t=new fo(16);return fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new fo(9);return fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new fo(4);return fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=Wr,t.createLayout=Ii,t.createStyleLayer=function(t){return\"custom\"===t.type?new Dc(t):new Rc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=qe,t.offscreenCanvasSupported=pt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t},t.parseGlyphPBF=function(t){return new al(t).readFields(Tl,[])},t.pbf=al,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=8192/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,c=t.layers[0]._unevaluatedLayout._values,u={};if(\"composite\"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;u.compositeTextSizes=[c[\"text-size\"].possiblyEvaluate(new pi(h),o),c[\"text-size\"].possiblyEvaluate(new pi(p),o)]}if(\"composite\"===t.iconSizeData.kind){var d=t.iconSizeData,m=d.minZoom,g=d.maxZoom;u.compositeIconSizes=[c[\"icon-size\"].possiblyEvaluate(new pi(m),o),c[\"icon-size\"].possiblyEvaluate(new pi(g),o)]}u.layoutTextSize=c[\"text-size\"].possiblyEvaluate(new pi(t.zoom+1),o),u.layoutIconSize=c[\"icon-size\"].possiblyEvaluate(new pi(t.zoom+1),o),u.textMaxSize=c[\"text-size\"].possiblyEvaluate(new pi(18));for(var v=24*l.get(\"text-line-height\"),y=\"map\"===l.get(\"text-rotation-alignment\")&&\"point\"!==l.get(\"symbol-placement\"),x=l.get(\"text-keep-upright\"),b=l.get(\"text-size\"),w=function(){var a=k[T],s=l.get(\"text-font\").evaluate(a,{},o).join(\",\"),c=b.evaluate(a,{},o),f=u.layoutTextSize.evaluate(a,{},o),h=u.layoutIconSize.evaluate(a,{},o),p={horizontal:{},vertical:void 0},d=a.text,m=[0,0];if(d){var g=d.toString(),w=24*l.get(\"text-letter-spacing\").evaluate(a,{},o),A=function(t){for(var e=0,r=t;e=8192||f.y<0||f.y>=8192||function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,w,T,k,A){var M,S,E,L,C,P=t.addToLineVertexArray(e,r),I=0,O=0,z=0,D=0,R=-1,F=-1,B={},N=ya(\"\"),j=0,U=0;void 0===s._unevaluatedLayout.getValue(\"text-radial-offset\")?(M=s.layout.get(\"text-offset\").evaluate(b,{},k).map((function(t){return 24*t})),j=M[0],U=M[1]):(j=24*s.layout.get(\"text-radial-offset\").evaluate(b,{},k),U=pc);if(t.allowVerticalPlacement&&n.vertical){var V=s.layout.get(\"text-rotate\").evaluate(b,{},k)+90,H=n.vertical;L=new sc(l,e,c,u,f,H,h,p,d,V),o&&(C=new sc(l,e,c,u,f,o,g,v,d,V))}if(i){var q=s.layout.get(\"icon-rotate\").evaluate(b,{}),G=\"none\"!==s.layout.get(\"icon-text-fit\"),Y=rc(i,q,T,G),W=o?rc(o,q,T,G):void 0;E=new sc(l,e,c,u,f,i,g,v,!1,q),I=4*Y.length;var X=t.iconSizeData,Z=null;\"source\"===X.kind?(Z=[128*s.layout.get(\"icon-size\").evaluate(b,{})])[0]>32640&&_(t.layerIds[0]+': Value for \"icon-size\" is >= 255. Reduce your \"icon-size\".'):\"composite\"===X.kind&&((Z=[128*w.compositeIconSizes[0].evaluate(b,{},k),128*w.compositeIconSizes[1].evaluate(b,{},k)])[0]>32640||Z[1]>32640)&&_(t.layerIds[0]+': Value for \"icon-size\" is >= 255. Reduce your \"icon-size\".'),t.addSymbols(t.icon,Y,Z,x,y,b,!1,e,P.lineStartIndex,P.lineLength,-1,k),R=t.icon.placedSymbolArray.length-1,W&&(O=4*W.length,t.addSymbols(t.icon,W,Z,x,y,b,Cl.vertical,e,P.lineStartIndex,P.lineLength,-1,k),F=t.icon.placedSymbolArray.length-1)}for(var J in n.horizontal){var K=n.horizontal[J];if(!S){N=ya(K.text);var Q=s.layout.get(\"text-rotate\").evaluate(b,{},k);S=new sc(l,e,c,u,f,K,h,p,d,Q)}var $=1===K.positionedLines.length;if(z+=gc(t,e,K,a,s,d,b,m,P,n.vertical?Cl.horizontal:Cl.horizontalOnly,$?Object.keys(n.horizontal):[J],B,R,w,k),$)break}n.vertical&&(D+=gc(t,e,n.vertical,a,s,d,b,m,P,Cl.vertical,[\"vertical\"],B,F,w,k));var tt=S?S.boxStartIndex:t.collisionBoxArray.length,et=S?S.boxEndIndex:t.collisionBoxArray.length,rt=L?L.boxStartIndex:t.collisionBoxArray.length,nt=L?L.boxEndIndex:t.collisionBoxArray.length,it=E?E.boxStartIndex:t.collisionBoxArray.length,at=E?E.boxEndIndex:t.collisionBoxArray.length,ot=C?C.boxStartIndex:t.collisionBoxArray.length,st=C?C.boxEndIndex:t.collisionBoxArray.length,lt=-1,ct=function(t,e){return t&&t.circleDiameter?Math.max(t.circleDiameter,e):e};lt=ct(S,lt),lt=ct(L,lt),lt=ct(E,lt);var ut=(lt=ct(C,lt))>-1?1:0;ut&&(lt*=A/24);t.glyphOffsetArray.length>=Mc.MAX_GLYPHS&&_(\"Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\");void 0!==b.sortKey&&t.addToSortKeyRanges(t.symbolInstances.length,b.sortKey);t.symbolInstances.emplaceBack(e.x,e.y,B.right>=0?B.right:-1,B.center>=0?B.center:-1,B.left>=0?B.left:-1,B.vertical||-1,R,F,N,tt,et,rt,nt,it,at,ot,st,c,z,D,I,O,ut,0,h,j,U,lt)}(t,f,s,r,n,i,h,t.layers[0],t.collisionBoxArray,e.index,e.sourceLayerIndex,t.index,v,w,A,l,x,T,M,d,e,a,c,u,o)};if(\"line\"===S)for(var P=0,I=ec(e.geometry,0,0,8192,8192);P1){var V=$l(U,k,r.vertical||m,n,24,y);V&&C(U,V)}}else if(\"Polygon\"===e.type)for(var H=0,q=hs(e.geometry,0);H=E.maxzoom))if(\"none\"!==E.visibility)o(S,this.zoom,n),(m[E.id]=E.createBucket({index:u.bucketLayerIDs.length,layers:S,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:b,sourceID:this.source})).populate(_,g,this.tileID.canonical),u.bucketLayerIDs.push(S.map((function(t){return t.id})))}}}var L=t.mapObject(g.glyphDependencies,(function(t){return Object.keys(t).map(Number)}));Object.keys(L).length?a.send(\"getGlyphs\",{uid:this.uid,stacks:L},(function(t,e){f||(f=t,h=e,I.call(l))})):h={};var C=Object.keys(g.iconDependencies);C.length?a.send(\"getImages\",{icons:C,source:this.source,tileID:this.tileID,type:\"icons\"},(function(t,e){f||(f=t,p=e,I.call(l))})):p={};var P=Object.keys(g.patternDependencies);function I(){if(f)return s(f);if(h&&p&&d){var e=new i(h),r=new t.ImageAtlas(p,d);for(var a in m){var l=m[a];l instanceof t.SymbolBucket?(o(l.layers,this.zoom,n),t.performSymbolLayout(l,h,e.positions,p,r.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):l.hasPattern&&(l instanceof t.LineBucket||l instanceof t.FillBucket||l instanceof t.FillExtrusionBucket)&&(o(l.layers,this.zoom,n),l.addFeatures(g,this.tileID.canonical,r.patternPositions))}this.status=\"done\",s(null,{buckets:t.values(m).filter((function(t){return!t.isEmpty()})),featureIndex:u,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:e.image,imageAtlas:r,glyphMap:this.returnDependencies?h:null,iconMap:this.returnDependencies?p:null,glyphPositions:this.returnDependencies?e.positions:null})}}P.length?a.send(\"getImages\",{icons:P,source:this.source,tileID:this.tileID,type:\"patterns\"},(function(t,e){f||(f=t,d=e,I.call(l))})):d={},I.call(this)};var l=function(t,e,r,n){this.actor=t,this.layerIndex=e,this.availableImages=r,this.loadVectorData=n||s,this.loading={},this.loaded={}};l.prototype.loadTile=function(e,r){var n=this,i=e.uid;this.loading||(this.loading={});var o=!!(e&&e.request&&e.request.collectResourceTiming)&&new t.RequestPerformance(e.request),s=this.loading[i]=new a(e);s.abort=this.loadVectorData(e,(function(e,a){if(delete n.loading[i],e||!a)return s.status=\"done\",n.loaded[i]=s,r(e);var l=a.rawData,c={};a.expires&&(c.expires=a.expires),a.cacheControl&&(c.cacheControl=a.cacheControl);var u={};if(o){var f=o.finish();f&&(u.resourceTiming=JSON.parse(JSON.stringify(f)))}s.vectorTile=a.vectorTile,s.parse(a.vectorTile,n.layerIndex,n.availableImages,n.actor,(function(e,n){if(e||!n)return r(e);r(null,t.extend({rawTileData:l.slice(0)},n,c,u))})),n.loaded=n.loaded||{},n.loaded[i]=s}))},l.prototype.reloadTile=function(t,e){var r=this,n=this.loaded,i=t.uid,a=this;if(n&&n[i]){var o=n[i];o.showCollisionBoxes=t.showCollisionBoxes;var s=function(t,n){var i=o.reloadCallback;i&&(delete o.reloadCallback,o.parse(o.vectorTile,a.layerIndex,r.availableImages,a.actor,i)),e(t,n)};\"parsing\"===o.status?o.reloadCallback=s:\"done\"===o.status&&(o.vectorTile?o.parse(o.vectorTile,this.layerIndex,this.availableImages,this.actor,s):s())}},l.prototype.abortTile=function(t,e){var r=this.loading,n=t.uid;r&&r[n]&&r[n].abort&&(r[n].abort(),delete r[n]),e()},l.prototype.removeTile=function(t,e){var r=this.loaded,n=t.uid;r&&r[n]&&delete r[n],e()};var c=t.window.ImageBitmap,u=function(){this.loaded={}};u.prototype.loadTile=function(e,r){var n=e.uid,i=e.encoding,a=e.rawImageData,o=c&&a instanceof c?this.getImageData(a):a,s=new t.DEMData(n,o,i);this.loaded=this.loaded||{},this.loaded[n]=s,r(null,s)},u.prototype.getImageData=function(e){this.offscreenCanvas&&this.offscreenCanvasContext||(this.offscreenCanvas=new OffscreenCanvas(e.width,e.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext(\"2d\")),this.offscreenCanvas.width=e.width,this.offscreenCanvas.height=e.height,this.offscreenCanvasContext.drawImage(e,0,0,e.width,e.height);var r=this.offscreenCanvasContext.getImageData(-1,-1,e.width+2,e.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new t.RGBAImage({width:r.width,height:r.height},r.data)},u.prototype.removeTile=function(t){var e=this.loaded,r=t.uid;e&&e[r]&&delete e[r]};var f=function t(e,r){var n,i=e&&e.type;if(\"FeatureCollection\"===i)for(n=0;n=0!=!!e&&t.reverse()}var d=t.vectorTile.VectorTileFeature.prototype.toGeoJSON,m=function(e){this._feature=e,this.extent=t.EXTENT,this.type=e.type,this.properties=e.tags,\"id\"in e&&!isNaN(e.id)&&(this.id=parseInt(e.id,10))};m.prototype.loadGeometry=function(){if(1===this._feature.type){for(var e=[],r=0,n=this._feature.geometry;r>31}function P(t,e){for(var r=t.loadGeometry(),n=t.type,i=0,a=0,o=r.length,s=0;s>1;!function t(e,r,n,i,a,o){for(;a>i;){if(a-i>600){var s=a-i+1,l=n-i+1,c=Math.log(s),u=.5*Math.exp(2*c/3),f=.5*Math.sqrt(c*u*(s-u)/s)*(l-s/2<0?-1:1),h=Math.max(i,Math.floor(n-l*u/s+f)),p=Math.min(a,Math.floor(n+(s-l)*u/s+f));t(e,r,n,h,p,o)}var d=r[2*n+o],m=i,g=a;for(z(e,r,i,n),r[2*a+o]>d&&z(e,r,i,a);md;)g--}r[2*i+o]===d?z(e,r,i,g):(g++,z(e,r,g,a)),g<=n&&(i=g+1),n<=g&&(a=g-1)}}(t,e,o,n,i,a%2),O(t,e,r,n,o-1,a+1),O(t,e,r,o+1,i,a+1)}}function z(t,e,r,n){D(t,r,n),D(e,2*r,2*n),D(e,2*r+1,2*n+1)}function D(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}function R(t,e,r,n){var i=t-r,a=e-n;return i*i+a*a}_.fromVectorTileJs=w,_.fromGeojsonVt=T,_.GeoJSONWrapper=k;var F=function(t){return t[0]},B=function(t){return t[1]},N=function(t,e,r,n,i){void 0===e&&(e=F),void 0===r&&(r=B),void 0===n&&(n=64),void 0===i&&(i=Float64Array),this.nodeSize=n,this.points=t;for(var a=t.length<65536?Uint16Array:Uint32Array,o=this.ids=new a(t.length),s=this.coords=new i(2*t.length),l=0;l=r&&s<=i&&l>=n&&l<=a&&u.push(t[d]);else{var m=Math.floor((p+h)/2);s=e[2*m],l=e[2*m+1],s>=r&&s<=i&&l>=n&&l<=a&&u.push(t[m]);var g=(f+1)%2;(0===f?r<=s:n<=l)&&(c.push(p),c.push(m-1),c.push(g)),(0===f?i>=s:a>=l)&&(c.push(m+1),c.push(h),c.push(g))}}return u}(this.ids,this.coords,t,e,r,n,this.nodeSize)},N.prototype.within=function(t,e,r){return function(t,e,r,n,i,a){for(var o=[0,t.length-1,0],s=[],l=i*i;o.length;){var c=o.pop(),u=o.pop(),f=o.pop();if(u-f<=a)for(var h=f;h<=u;h++)R(e[2*h],e[2*h+1],r,n)<=l&&s.push(t[h]);else{var p=Math.floor((f+u)/2),d=e[2*p],m=e[2*p+1];R(d,m,r,n)<=l&&s.push(t[p]);var g=(c+1)%2;(0===c?r-i<=d:n-i<=m)&&(o.push(f),o.push(p-1),o.push(g)),(0===c?r+i>=d:n+i>=m)&&(o.push(p+1),o.push(u),o.push(g))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var j={minZoom:0,maxZoom:16,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},U=function(t){this.options=X(Object.create(j),t),this.trees=new Array(this.options.maxZoom+1)};function V(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function H(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:W(i),zoom:1/0,index:e,parentId:-1}}function q(t){return{type:\"Feature\",id:t.id,properties:G(t),geometry:{type:\"Point\",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function G(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+\"k\":e>=1e3?Math.round(e/100)/10+\"k\":e;return X(X({},t.properties),{cluster:!0,cluster_id:t.id,point_count:e,point_count_abbreviated:r})}function Y(t){return t/360+.5}function W(t){var e=Math.sin(t*Math.PI/180),r=.5-.25*Math.log((1+e)/(1-e))/Math.PI;return r<0?0:r>1?1:r}function X(t,e){for(var r in e)t[r]=e[r];return t}function Z(t){return t.x}function J(t){return t.y}function K(t,e,r,n,i,a){var o=i-r,s=a-n;if(0!==o||0!==s){var l=((t-r)*o+(e-n)*s)/(o*o+s*s);l>1?(r=i,n=a):l>0&&(r+=o*l,n+=s*l)}return(o=t-r)*o+(s=e-n)*s}function Q(t,e,r,n){var i={id:void 0===t?null:t,type:e,geometry:r,tags:n,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};return function(t){var e=t.geometry,r=t.type;if(\"Point\"===r||\"MultiPoint\"===r||\"LineString\"===r)$(t,e);else if(\"Polygon\"===r||\"MultiLineString\"===r)for(var n=0;n0&&(o+=n?(i*c-l*a)/2:Math.sqrt(Math.pow(l-i,2)+Math.pow(c-a,2))),i=l,a=c}var u=e.length-3;e[2]=1,function t(e,r,n,i){for(var a,o=i,s=n-r>>1,l=n-r,c=e[r],u=e[r+1],f=e[n],h=e[n+1],p=r+3;po)a=p,o=d;else if(d===o){var m=Math.abs(p-s);mi&&(a-r>3&&t(e,r,a,i),e[a+2]=o,n-a>3&&t(e,a,n,i))}(e,0,u,r),e[u+2]=1,e.size=Math.abs(o),e.start=0,e.end=e.size}function nt(t,e,r,n){for(var i=0;i1?1:r}function ot(t,e,r,n,i,a,o,s){if(n/=e,a>=(r/=e)&&o=n)return null;for(var l=[],c=0;c=r&&d=n)){var m=[];if(\"Point\"===h||\"MultiPoint\"===h)st(f,m,r,n,i);else if(\"LineString\"===h)lt(f,m,r,n,i,!1,s.lineMetrics);else if(\"MultiLineString\"===h)ut(f,m,r,n,i,!1);else if(\"Polygon\"===h)ut(f,m,r,n,i,!0);else if(\"MultiPolygon\"===h)for(var g=0;g=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function lt(t,e,r,n,i,a,o){for(var s,l,c=ct(t),u=0===i?ht:pt,f=t.start,h=0;hr&&(l=u(c,p,d,g,v,r),o&&(c.start=f+s*l)):y>n?x=r&&(l=u(c,p,d,g,v,r),b=!0),x>n&&y<=n&&(l=u(c,p,d,g,v,n),b=!0),!a&&b&&(o&&(c.end=f+s*l),e.push(c),c=ct(t)),o&&(f+=s)}var _=t.length-3;p=t[_],d=t[_+1],m=t[_+2],(y=0===i?p:d)>=r&&y<=n&&ft(c,p,d,m),_=c.length-3,a&&_>=3&&(c[_]!==c[0]||c[_+1]!==c[1])&&ft(c,c[0],c[1],c[2]),c.length&&e.push(c)}function ct(t){var e=[];return e.size=t.size,e.start=t.start,e.end=t.end,e}function ut(t,e,r,n,i,a){for(var o=0;oo.maxX&&(o.maxX=u),f>o.maxY&&(o.maxY=f)}return o}function xt(t,e,r,n){var i=e.geometry,a=e.type,o=[];if(\"Point\"===a||\"MultiPoint\"===a)for(var s=0;s0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;lo)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n0===e)for(n=0,i=t.length;n24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new N(s,Z,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},U.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(Y(r),W(a),Y(i),W(n));u1?this._map(c,!0):null,g=(l<<5)+(e+1)+this.points.length,v=0,y=f;v>5},U.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},U.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},_t.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},_t.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<1&&console.time(\"creation\"),h=this.tiles[f]=yt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<1&&console.time(\"clipping\");var m,g,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;m=g=v=y=null,x=ot(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=ot(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(m=ot(x,u,n-_,n+T,1,h.minY,h.maxY,l),g=ot(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=ot(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=ot(b,u,n+w,n+k,1,h.minY,h.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(m||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},_t.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[wt(c,u,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?gt(this.tiles[s],i):null):null};var kt=function(e){function r(t,r,n,i){e.call(this,t,r,n,Tt),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 U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var m=n-Math.abs(d);p=Math.sqrt(h*h+m*m)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o=n&&e.x=i&&e.y0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+10&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;or.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(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,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];tthis.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},N.prototype.has=function(t){return t.wrapped().key in this.data},N.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},N.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},N.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},N.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},N.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},N.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},N.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);fthis._source.maxzoom){var g=d.children(this._source.maxzoom)[0],v=this.getTile(g);if(v&&v.hasData()){n[g.key]=g;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=m.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(m=this.getTile(_))&&x&&(m=this._addTile(_)),m&&(n[_.key]=_,x=m.wasRequested(),m.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,m=0,g=c;m=0&&v[1].y+g>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:m})}}},x=0;x=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(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 It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Ot(){return new t.window.Worker(Zi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,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,m=n.transform.width/n.transform.height,g=!1,v=0;vMath.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.yn.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=r/24,v=e.lineOffsetX*g,y=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(g,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var A=ae(e.writingMode,T,k,d);if(A)return A}m=[w.first];for(var M=e.glyphStartIndex+1;M0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(g*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};m=[O]}for(var z=0,D=m;z0?1:-1,m=0;i&&(d*=-1,m=Math.PI),d<0&&(m+=Math.PI);for(var g=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)=c)return null;if(y=v,w.push(v),void 0===(v=h[g])){var T=new t.Point(u.getx(g),u.gety(g)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[g]=k.point;else{var A=g-d;v=se(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var M=(_-x)/b,S=v.sub(y),E=S.mult(M)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=m+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.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)},Kt.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)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s0:o},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var m=this.circleCells[i];if(null!==m)for(var g=this.circles,v=0,y=m;vo*o+s*s},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r=1;P--)C.push(E.path[P]);for(var I=1;I0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.xM.x||F.yM.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t=0&&e0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(m=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:m},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,m=a.collisionGroup,g=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=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=y&&(x||!o.hasIconData()||v),A=x&&(y||!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 ge(!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,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d=N.length,k=i.attemptAnchorPlacement(g,t,a,s,c,b,_,f,l,m,v,e,o,n,u);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,y,f,l,m.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),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,m.predicate,X,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,m.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(I=Z(a.verticalIconBox)).box.length>0:(I=Z(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||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&&z?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,m.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,m.ID)),M&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,m.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,m.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var A=w?Ie:T;d(e.text,l,A);var M=v.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=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[m];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.y:0)}}},g=0;gt},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Ae=Math.pow(2,24),Me=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(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*ke+e*Ae+r*Me+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=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=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;nt.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,m=l.stretchX,g=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:m,stretchY:g,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._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 Ct(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(je(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=0;d--){var m=this._order[d];if(r(m))for(var g=i.length-1;g>=0;g--){var v=i[g].feature;if(n[v.layer.id] 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),tr=yr(\"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);}\"),er=yr(\"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);}\"),rr=yr(\"#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);}\"),nr=yr(\"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;}\"),ir=yr(\"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;}\"),ar=yr(\"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);}\"),or=yr(\"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;}\"),sr=yr(\"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;}\"),lr=yr(\"#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;}\"),cr=yr(\"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;}\"),ur=yr(\"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);}\"),fr=yr(\"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);}\"),hr=yr(\"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;}\"),pr=yr(\"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);}\"),dr=yr(\"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=yr(\"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));}\"),gr=yr(\"#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);}\"),vr=yr(\"#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 yr(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 xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Xe,circle:Ze,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:mr,symbolSDF:gr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m){var g,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[v.LINES]=2,g[v.TRIANGLES]=3,g[v.LINE_STRIP]=1,g)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,m),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Ar=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(Ar(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=pe(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}},Cr=function(t,e,r){var n=pe(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}},Pr=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]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Or=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:pe(e,1,r),u_intensity:n}};function Dr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Rr=function(e,r,n){var i=e.transform;return{u_matrix:Ur(e,r,n),u_ratio:1/pe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n){return t.extend(Rr(e,r,n),{u_image:0})},Br=function(e,r,n,i){var a=e.transform,o=jr(r,a);return{u_matrix:Ur(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/pe(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]]}},Nr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=jr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.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:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Vr=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:Hr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Hr(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 qr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Xr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Zr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(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})},Jr={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 Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M=0&&(m[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.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-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function mn(t){var e=t.transform.padding;gn(t,t.transform.height-(e.top||0),3,un),gn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function gn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(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 xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=At.disabled,c=Mt.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,m=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,g=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(g+=\" => \"+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,g+\" \"+p+\"kb\"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,m),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var bn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Mt.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,f=0,h=e;f256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(At.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Mt({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Mt({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer0?e.pop():null},_n.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},_n.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 _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.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()},_n.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)},_n.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)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.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 wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;fthis.max[l]-this.min[l])return 0}return 1};var kn=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};kn.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},kn.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)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var An=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 kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Mn={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}};An.prototype.clone=function(){var t=new An(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},Mn.minZoom.get=function(){return this._minZoom},Mn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Mn.maxZoom.get=function(){return this._maxZoom},Mn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Mn.minPitch.get=function(){return this._minPitch},Mn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Mn.maxPitch.get=function(){return this._maxPitch},Mn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Mn.renderWorldCopies.get=function(){return this._renderWorldCopies},Mn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Mn.worldSize.get=function(){return this.tileSize*this.scale},Mn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Mn.size.get=function(){return new t.Point(this.width,this.height)},Mn.bearing.get=function(){return-this.angle/Math.PI*180},Mn.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))},Mn.pitch.get=function(){return this._pitch/Math.PI*180},Mn.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())},Mn.fov.get=function(){return this._fov/Math.PI*180},Mn.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())},Mn.zoom.get=function(){return this._zoom},Mn.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())},Mn.center.get=function(){return this._center},Mn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Mn.padding.get=function(){return this._edgeInsets.toJSON()},Mn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Mn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},An.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},An.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},An.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)},An.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},An.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&re.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=wn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var m=u.pop(),g=m.x,v=m.y,y=m.fullyVisible;if(!y){var x=m.aabb.intersects(s);if(0===x)continue;y=2===x}var b=m.aabb.distanceX(o),_=m.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<T&&m.zoom>=l)f.push({tileID:new t.OverscaledTileID(m.zoom===h?p:m.zoom,m.wrap,m.zoom,g,v),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-v])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(v<<1)+(k>>1);u.push({aabb:m.aabb.quadrant(k),zoom:m.zoom+1,x:A,y:M,wrap:m.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},An.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Mn.unmodified.get=function(){return this._unmodified},An.prototype.zoomScale=function(t){return Math.pow(2,t)},An.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},An.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)},An.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Mn.point.get=function(){return this.project(this.center)},An.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())},An.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},An.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},An.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},An.prototype.coordinateLocation=function(t){return t.toLngLat()},An.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},An.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])},An.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)))},An.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},An.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])},An.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]},An.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},An.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-ao&&(i=o-g)}if(this.lngRange){var v=p.x,y=c.x/2;v-yl&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},An.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),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),m=Math.sin(this.angle),g=s-Math.round(s)+d*h+m*p,v=l-Math.round(l)+d*p+m*h,y=new Float64Array(f);if(t.translate(y,y,[g>.5?g-1:g,v>.5?v-1:v,0]),this.alignedProjMatrix=y,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={}}},An.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},An.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},An.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;nthis.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n30)&&(this.aborted=!0)}}},Hn.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 qn=function(t){this.singleTap=new Hn(t),this.numTaps=t.numTaps,this.reset()};qn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},qn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},qn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},qn.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 Gn=function(){this._zoomIn=new qn({numTouches:1,numTaps:2}),this._zoomOut=new qn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.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},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(sMath.abs(t.x)}var 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),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(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){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},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 ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.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:si,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})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.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%4.000244140625==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()}},li.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},li.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())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.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)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.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},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.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})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new qn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.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))},fi.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)},fi.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)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.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\")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.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},gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(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;aa?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(m));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,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(u-o),m=t.Point.convert(e.offset),g=a.centerPoint.add(m),v=a.pointLocation(g),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).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,u),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),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=Te.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/I(i);a.zoom=1===e?u: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(c,p,e),g=a.centerPoint.add(m));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,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)180?-360:r<-180?360:0}},r}(t.Evented),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};bi.prototype.getDefaultPosition=function(){return\"bottom-right\"},bi.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},bi.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},bi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var _i=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};_i.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},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return\"bottom-left\"},_i.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},_i.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}},_i.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 wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;re.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new An(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 wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,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 Ai))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 yi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(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 bi({customAttribution:e.customAttribution})),this.addControl(new _i,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()=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()60)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 Rn(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 Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.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)}},Ii.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()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ii.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)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.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))},Ii.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))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)e.getEast()||r.latitudee.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)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 Fi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Fi({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\":Ni--,ji=!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\"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!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),Vi={maxWidth:100,unit:\"metric\"},Hi=function(e){this.options=t.extend({},Vi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\"));else Gi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else if(r&&\"nautical\"===r.unit){Gi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Gi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(\"\"+Math.floor(i)).length-1),o=(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),a*o),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\" \"+n}Hi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Hi.prototype._onMove=function(){qi(this._map,this._container,this.options)},Hi.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},Hi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Hi.prototype.setUnit=function(t){this.options.unit=t,qi(this._map,this._container,this.options)};var Yi=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\")};Yi.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},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.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)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.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())},Yi.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 Wi={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Xi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),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=\"×\",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(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&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 n._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=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,\"top-left\":i,\"top-right\":i,bottom:i,\"bottom-left\":i,\"bottom-right\":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.ythis._map.transform.height-u?[\"bottom\"]:[],a.xthis._map.transform.width-c/2&&l.push(\"right\"),o=0===l.length?\"bottom\":l.join(\"-\")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+\" translate(\"+f.x+\"px,\"+f.y+\"px)\"),Di(this._container,o,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Zi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:Hi,FullscreenControl:Yi,Popup:Xi,Marker:Fi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Zi})),r}))},{}],240:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],241:[function(t,e,r){\"use strict\";e.exports=function(t,e){e||(e=t,t=window);var r=0,i=0,a=0,o={shift:!1,alt:!1,control:!1,meta:!1},s=!1;function l(t){var e=!1;return\"altKey\"in t&&(e=e||t.altKey!==o.alt,o.alt=!!t.altKey),\"shiftKey\"in 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n=t(\"../common\").str2arr,i=t(\"../common\").sliceEq,a=t(\"../common\").readUInt16LE,o=n(\"BM\");e.exports=function(t){if(!(t.length<26)&&i(t,0,o))return{width:a(t,18),height:a(t,22),type:\"bmp\",mime:\"image/bmp\",wUnits:\"px\",hUnits:\"px\"}}},{\"../common\":262}],267:[function(t,e,r){\"use strict\";var n=t(\"../common\").str2arr,i=t(\"../common\").sliceEq,a=t(\"../common\").readUInt16LE,o=n(\"GIF87a\"),s=n(\"GIF89a\");e.exports=function(t){if(!(t.length<10)&&(i(t,0,o)||i(t,0,s)))return{width:a(t,6),height:a(t,8),type:\"gif\",mime:\"image/gif\",wUnits:\"px\",hUnits:\"px\"}}},{\"../common\":262}],268:[function(t,e,r){\"use strict\";var n=t(\"../common\").readUInt16LE;e.exports=function(t){var e=n(t,0),r=n(t,2),i=n(t,4);if(0===e&&1===r&&i){for(var a=[],o={width:0,height:0},s=0;so.width||c>o.height)&&(o=u)}return{width:o.width,height:o.height,variants:a,type:\"ico\",mime:\"image/x-icon\",wUnits:\"px\",hUnits:\"px\"}}}},{\"../common\":262}],269:[function(t,e,r){\"use strict\";var 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t?(\"function\"==typeof t?t={after:t}:\"number\"==typeof t[0]&&(t={positions:t}),t=o(t,{color:\"color colors fill\",capSize:\"capSize cap capsize cap-size\",lineWidth:\"lineWidth line-width width line thickness\",opacity:\"opacity alpha\",range:\"range dataBox\",viewport:\"viewport viewBox\",errors:\"errors error\",positions:\"positions position data points\"}),u||(x[c]=u={id:c,scale:null,translate:null,scaleFract:null,translateFract:null,draw:!0},t=s({},y,t)),a(u,t,[{lineWidth:function(t){return.5*+t},capSize:function(t){return.5*+t},opacity:parseFloat,errors:function(t){return t=l(t),r+=t.length,t},positions:function(t,r){return t=l(t,\"float64\"),r.count=Math.floor(t.length/2),r.bounds=n(t,2),r.offset=e,e+=r.count,t}},{color:function(t,e){var r=e.count;if(t||(t=\"transparent\"),!Array.isArray(t)||\"number\"==typeof t[0]){var n=t;t=Array(r);for(var a=0;a 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 * 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i,o=this._validateYear(t,n.local.invalidyear),s=h[o-h[0]],l=s>>9&4095,c=s>>5&15,u=31&s;(i=a.newDate(l,c,u)).add(4-(i.dayOfWeek()||7),\"d\");var f=this.toJD(t,e,r)-i.toJD();return 1+Math.floor(f/7)},monthsInYear:function(t){return this.leapYear(t)?13:12},daysInMonth:function(t,e){t.year&&(e=t.month(),t=t.year()),t=this._validateYear(t);var r=f[t-f[0]];if(e>(r>>13?12:11))throw n.local.invalidMonth.replace(/\\{0\\}/,this.local.name);return r&1<<12-e?30:29},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,s,r,n.local.invalidDate);t=this._validateYear(i.year()),e=i.month(),r=i.day();var o=this.isIntercalaryMonth(t,e),s=this.toChineseMonth(t,e),l=function(t,e,r,n,i){var a,o,s;if(\"object\"==typeof t)o=t,a=e||{};else{var l;if(!(\"number\"==typeof t&&t>=1888&&t<=2111))throw new Error(\"Lunar year outside range 1888-2111\");if(!(\"number\"==typeof e&&e>=1&&e<=12))throw new Error(\"Lunar month outside range 1 - 12\");if(!(\"number\"==typeof 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Date(i.year,i.month-1,i.day);l=Math.round((u-c)/864e5);var p,d=f[a.year-f[0]];for(p=0;p<13;p++){var m=d&1<<12-p?30:29;if(l>13;!g||p=2&&n<=6},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((i.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year()+(i.year()<0?1:0),e=i.month(),(r=i.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},{\"../main\":346,\"object-assign\":247}],335:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.ethiopian=a},{\"../main\":346,\"object-assign\":247}],336:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=tthis.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=a},{\"../main\":346,\"object-assign\":247}],337:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},{\"../main\":346,\"object-assign\":247}],338:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{\"../main\":346,\"object-assign\":247}],339:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{\"../main\":346,\"object-assign\":247}],340:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},{\"../main\":346,\"object-assign\":247}],341:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var c=t-this.toJD(l,1,1)+1,u=c<=186?Math.ceil(c/31):Math.ceil((c-6)/30),f=t-this.toJD(l,u,1)+1;return this.newDate(l,u,f)}}),n.calendars.persian=a,n.calendars.jalali=a},{\"../main\":346,\"object-assign\":247}],343:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,i(o.prototype,{name:\"Taiwan\",jdEpoch:2419402.5,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":346,\"object-assign\":247}],344:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,i(o.prototype,{name:\"Thai\",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":346,\"object-assign\":247}],345:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;ar)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;ne);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=t(\"object-assign\");function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(!function(t){for(;oe-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw this._validateLevel--,t}},_correctAdd:function(t,e,r,n){if(!(this.hasYearZero||\"y\"!==n&&\"m\"!==n||0!==e[0]&&t.year()>0==e[0]>0)){var 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Pt=t._hoverdata,It=[],Ot=j(t),zt=U(t);for(q=0;q1||et.length>1)||\"closest\"===P&&it&&et.length>1,Wt=p.combine(u.plot_bgcolor||p.background,u.paper_bgcolor),Xt=I(et,{gd:t,hovermode:P,rotateLabels:Yt,bgColor:Wt,container:u._hoverlayer,outerContainer:u._paper.node(),commonLabelOpts:u.hoverlabel,hoverdistance:u.hoverdistance});v.isUnifiedHover(P)||(!function(t,e,r){var n,i,a,o,s,l,c,u=0,f=1,h=t.size(),p=new Array(h),d=0;function m(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 c=0;for(o=0;oe.pmax&&c++;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos>e.pmax-1&&(l.del=!0,c--);for(o=0;o=0;s--)t[s].dp-=a;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos+l.dp+l.size>e.pmax&&(l.del=!0,c--)}}}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)}));for(;!n&&u<=h;){for(u++,n=!0,o=0;o.01&&y.pmin===x.pmin&&y.pmax===x.pmax){for(s=v.length-1;s>=0;s--)v[s].dp+=i;for(g.push.apply(g,v),p.splice(o+1,1),c=0,s=g.length-1;s>=0;s--)c+=g[s].dp;for(a=c/g.length,s=g.length-1;s>=0;s--)g[s].dp-=a;n=!1}else o++}p.forEach(m)}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}}}(Xt,Yt?\"xa\":\"ya\",u),z(Xt,Yt,u._invScaleX,u._invScaleY));if(s&&s.tagName){var Zt=g.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,It);f(n.select(s),Zt?\"pointer\":\"\")}if(!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,Pt))return;Pt&&t.emit(\"plotly_unhover\",{event:e,points:Pt});t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:V,yvals:H})}(t,e,r,a,s)}))},r.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=I(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,c=t.eventData;if(c){var u=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),m=t.trace;if(g.traceIs(m,\"gl3d\")){var v=i._fullLayout[m.scene]._scene.container,y=v.offsetLeft,x=v.offsetTop;u+=y,f+=y,h+=x,d+=x}c.bbox={x0:u+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(c.bbox)}else c=!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:c}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}),l=0,c=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5([\\s\\S]*)<\\/extra>/;function I(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,c=e.rotateLabels,f=e.bgColor,d=e.container,m=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||y.HOVERFONT,k=e.fontSize||y.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),I=A[P+\"Label\"],z=V(r,m),D=z.top,R=z.width,F=z.height,B=void 0!==I&&A.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(B){var N,j,U=!0;for(N=0;Ni.width-b?(g=i.width-b,e.attr(\"d\",\"M\"+(b-M)+\",0L\"+b+\",\"+x+M+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"H\"+(b-2*M)+\"Z\")):e.attr(\"d\",\"M0,0L\"+M+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+(S+y.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),v=L._offset+(A.y0+A.y1)/2,l.attr(\"text-anchor\",_),e.attr(\"d\",\"M0,0L\"+P+M+\",\"+M+\"V\"+(S+y.height/2)+\"h\"+P+(2*S+y.width)+\"V-\"+(S+y.height/2)+\"H\"+P+M+\"V-\"+M+\"Z\");var O,z=y.height/2,R=D-y.top-z,F=\"clip\"+i._uid+\"commonlabel\"+L._id;if(g=0?at:ot+ct=0?ot:vt+ct=0?nt:it+ut=0?it:yt+ut=0,\"top\"!==t.idealAlign&&G||!Y?G?(z+=j/2,t.anchor=\"start\"):t.anchor=\"middle\":(z-=j/2,t.anchor=\"end\");else if(t.pos=z,G=P+N/2+W<=R,Y=P-N/2-W>=0,\"left\"!==t.idealAlign&&G||!Y)if(G)P+=N/2,t.anchor=\"start\";else{t.anchor=\"middle\";var X=W/2,Z=P+X-R,J=P-X;Z>0&&(P-=Z),J<0&&(P+=-J)}else P-=N/2,t.anchor=\"end\";w.attr(\"text-anchor\",t.anchor),E&&A.attr(\"text-anchor\",t.anchor),e.attr(\"transform\",s(P,z)+(c?l(_):\"\"))})),xt}function O(t,e,r,n,i,a){var s=\"\",l=\"\";void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=B(t.name,t.nameLength));var c=r.charAt(0),u=\"x\"===c?\"y\":\"x\";void 0!==t.zLabel?(void 0!==t.xLabel&&(l+=\"x: \"+t.xLabel+\"
\"),void 0!==t.yLabel&&(l+=\"y: \"+t.yLabel+\"
\"),\"choropleth\"!==t.trace.type&&\"choroplethmapbox\"!==t.trace.type&&(l+=(l?\"z: \":\"\")+t.zLabel)):e&&t[c+\"Label\"]===i?l=t[u+\"Label\"]||\"\":void 0===t.xLabel?void 0!==t.yLabel&&\"scattercarpet\"!==t.trace.type&&(l=t.yLabel):l=void 0===t.yLabel?t.xLabel:\"(\"+t.xLabel+\", \"+t.yLabel+\")\",!t.text&&0!==t.text||Array.isArray(t.text)||(l+=(l?\"
\":\"\")+t.text),void 0!==t.extraText&&(l+=(l?\"
\":\"\")+t.extraText),a&&\"\"===l&&!t.hovertemplate&&(\"\"===s&&a.remove(),l=s);var f=t.hovertemplate||!1;if(f){var h=t.hovertemplateLabels||t;t[c+\"Label\"]!==i&&(h[c+\"other\"]=h[c+\"Val\"],h[c+\"otherLabel\"]=h[c+\"Label\"]),l=(l=o.hovertemplateString(f,h,n._d3locale,t.eventData[0]||{},t.trace._meta)).replace(P,(function(e,r){return s=B(r,t.nameLength),\"\"}))}return[l,s]}function z(t,e,r,i){var a=function(t){return t*r},o=function(t){return t*i};t.each((function(t){var r=n.select(this);if(t.del)return r.remove();var i=r.select(\"text.nums\"),s=t.anchor,l=\"end\"===s?-1:1,c={start:1,end:-1,middle:0}[s],f=c*(M+S),p=f+c*(t.txwidth+S),d=0,m=t.offset,g=\"middle\"===s;g&&(f-=t.tx2width/2,p+=t.txwidth/2+S),e&&(m*=-A,d=t.offset*k),r.select(\"path\").attr(\"d\",g?\"M-\"+a(t.bx/2+t.tx2width/2)+\",\"+o(m-t.by/2)+\"h\"+a(t.bx)+\"v\"+o(t.by)+\"h-\"+a(t.bx)+\"Z\":\"M0,0L\"+a(l*M+d)+\",\"+o(M+m)+\"v\"+o(t.by/2-M)+\"h\"+a(l*t.bx)+\"v-\"+o(t.by)+\"H\"+a(l*M+d)+\"V\"+o(m-M)+\"Z\");var v=d+f,y=m+t.ty0-t.by/2+S,x=t.textAlign||\"auto\";\"auto\"!==x&&(\"left\"===x&&\"start\"!==s?(i.attr(\"text-anchor\",\"start\"),v=g?-t.bx/2-t.tx2width/2+S:-t.bx-S):\"right\"===x&&\"end\"!==s&&(i.attr(\"text-anchor\",\"end\"),v=g?t.bx/2-t.tx2width/2-S:t.bx+S)),i.call(u.positionText,a(v),o(y)),t.tx2width&&(r.select(\"text.name\").call(u.positionText,a(p+c*S+d),o(m+t.ty0-t.by/2+S)),r.select(\"rect\").call(h.setRect,a(p+(c-1)*t.tx2width/2+d),o(m-t.by/2-1),a(t.tx2width),o(t.by+2)))}))}function D(t,e){var r=t.index,n=t.trace||{},a=t.cd[0],s=t.cd[r]||{};function l(t){return t||i(t)&&0===t}var c=Array.isArray(r)?function(t,e){var i=o.castOption(a,r,t);return l(i)?i:o.extractOption({},n,\"\",e)}:function(t,e){return o.extractOption(s,n,t,e)};function u(e,r,n){var i=c(r,n);l(i)&&(t[e]=i)}if(u(\"hoverinfo\",\"hi\",\"hoverinfo\"),u(\"bgcolor\",\"hbg\",\"hoverlabel.bgcolor\"),u(\"borderColor\",\"hbc\",\"hoverlabel.bordercolor\"),u(\"fontFamily\",\"htf\",\"hoverlabel.font.family\"),u(\"fontSize\",\"hts\",\"hoverlabel.font.size\"),u(\"fontColor\",\"htc\",\"hoverlabel.font.color\"),u(\"nameLength\",\"hnl\",\"hoverlabel.namelength\"),u(\"textAlign\",\"hta\",\"hoverlabel.align\"),t.posref=\"y\"===e||\"closest\"===e&&\"h\"===n.orientation?t.xa._offset+(t.x0+t.x1)/2:t.ya._offset+(t.y0+t.y1)/2,t.x0=o.constrain(t.x0,0,t.xa._length),t.x1=o.constrain(t.x1,0,t.xa._length),t.y0=o.constrain(t.y0,0,t.ya._length),t.y1=o.constrain(t.y1,0,t.ya._length),void 0!==t.xLabelVal&&(t.xLabel=\"xLabel\"in t?t.xLabel:m.hoverLabelText(t.xa,t.xLabelVal,n.xhoverformat),t.xVal=t.xa.c2d(t.xLabelVal)),void 0!==t.yLabelVal&&(t.yLabel=\"yLabel\"in t?t.yLabel:m.hoverLabelText(t.ya,t.yLabelVal,n.yhoverformat),t.yVal=t.ya.c2d(t.yLabelVal)),void 0!==t.zLabelVal&&void 0===t.zLabel&&(t.zLabel=String(t.zLabelVal)),!(isNaN(t.xerr)||\"log\"===t.xa.type&&t.xerr<=0)){var f=m.tickText(t.xa,t.xa.c2l(t.xerr),\"hover\").text;void 0!==t.xerrneg?t.xLabel+=\" +\"+f+\" / -\"+m.tickText(t.xa,t.xa.c2l(t.xerrneg),\"hover\").text:t.xLabel+=\" \\xb1 \"+f,\"x\"===e&&(t.distance+=1)}if(!(isNaN(t.yerr)||\"log\"===t.ya.type&&t.yerr<=0)){var h=m.tickText(t.ya,t.ya.c2l(t.yerr),\"hover\").text;void 0!==t.yerrneg?t.yLabel+=\" +\"+h+\" / -\"+m.tickText(t.ya,t.ya.c2l(t.yerrneg),\"hover\").text:t.yLabel+=\" \\xb1 \"+h,\"y\"===e&&(t.distance+=1)}var p=t.hoverinfo||t.trace.hoverinfo;return p&&\"all\"!==p&&(-1===(p=Array.isArray(p)?p:p.split(\"+\")).indexOf(\"x\")&&(t.xLabel=void 0),-1===p.indexOf(\"y\")&&(t.yLabel=void 0),-1===p.indexOf(\"z\")&&(t.zLabel=void 0),-1===p.indexOf(\"text\")&&(t.text=void 0),-1===p.indexOf(\"name\")&&(t.name=void 0)),t}function R(t,e,r){var n,i,o=r.container,s=r.fullLayout,l=s._size,c=r.event,u=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),f||u){var d=p.combine(s.plot_bgcolor,s.paper_bgcolor);if(u){var g,v,y=e.hLinePoint;n=y&&y.xa,\"cursor\"===(i=y&&y.ya).spikesnap?(g=c.pointerX,v=c.pointerY):(g=n._offset+y.x,v=i._offset+y.y);var x,b,_=a.readability(y.color,d)<1.5?p.contrast(d):y.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=m.getPxPosition(t,i);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=A,b=g),-1!==w.indexOf(\"across\")){var M=i._counterDomainMin,S=i._counterDomainMax;\"free\"===i.anchor&&(M=Math.min(M,i.position),S=Math.max(S,i.position)),x=l.l+M*l.w,b=l.l+S*l.w}o.insert(\"line\",\":first-child\").attr({x1:x,x2:b,y1:v,y2:v,\"stroke-width\":T,stroke:k,\"stroke-dasharray\":h.dashStyle(i.spikedash,T)}).classed(\"spikeline\",!0).classed(\"crisp\",!0),o.insert(\"line\",\":first-child\").attr({x1:x,x2:b,y1:v,y2:v,\"stroke-width\":T+2,stroke:d}).classed(\"spikeline\",!0).classed(\"crisp\",!0)}-1!==w.indexOf(\"marker\")&&o.insert(\"circle\",\":first-child\").attr({cx:A+(\"right\"!==i.side?T:-T),cy:v,r:T,fill:k}).classed(\"spikeline\",!0)}if(f){var E,L,C=e.vLinePoint;n=C&&C.xa,i=C&&C.ya,\"cursor\"===n.spikesnap?(E=c.pointerX,L=c.pointerY):(E=n._offset+C.x,L=i._offset+C.y);var P,I,O=a.readability(C.color,d)<1.5?p.contrast(d):C.color,z=n.spikemode,D=n.spikethickness,R=n.spikecolor||O,F=m.getPxPosition(t,n);if(-1!==z.indexOf(\"toaxis\")||-1!==z.indexOf(\"across\")){if(-1!==z.indexOf(\"toaxis\")&&(P=F,I=L),-1!==z.indexOf(\"across\")){var B=n._counterDomainMin,N=n._counterDomainMax;\"free\"===n.anchor&&(B=Math.min(B,n.position),N=Math.max(N,n.position)),P=l.t+(1-N)*l.h,I=l.t+(1-B)*l.h}o.insert(\"line\",\":first-child\").attr({x1:E,x2:E,y1:P,y2:I,\"stroke-width\":D,stroke:R,\"stroke-dasharray\":h.dashStyle(n.spikedash,D)}).classed(\"spikeline\",!0).classed(\"crisp\",!0),o.insert(\"line\",\":first-child\").attr({x1:E,x2:E,y1:P,y2:I,\"stroke-width\":D+2,stroke:d}).classed(\"spikeline\",!0).classed(\"crisp\",!0)}-1!==z.indexOf(\"marker\")&&o.insert(\"circle\",\":first-child\").attr({cx:E,cy:F-(\"top\"!==n.side?D:-D),r:D,fill:R}).classed(\"spikeline\",!0)}}}function F(t,e){return!e||(e.vLinePoint!==t._spikepoints.vLinePoint||e.hLinePoint!==t._spikepoints.hLinePoint)}function B(t,e){return u.plainText(t||\"\",{len:e,allowedTags:[\"br\",\"sub\",\"sup\",\"b\",\"i\",\"em\"]})}function N(t,e,r){var n=e[t+\"a\"],i=e[t+\"Val\"],a=e.cd[0];if(\"category\"===n.type)i=n._categoriesMap[i];else if(\"date\"===n.type){var o=e.trace[t+\"periodalignment\"];if(o){var s=e.cd[e.index],l=s[t+\"Start\"];void 0===l&&(l=s[t]);var c=s[t+\"End\"];void 0===c&&(c=s[t]);var u=c-l;\"end\"===o?i+=u:\"middle\"===o&&(i+=u/2)}i=n.d2c(i)}return a&&a.t&&a.t.posLetter===n._id&&(\"group\"!==r.boxmode&&\"group\"!==r.violinmode||(i+=a.t.dPos)),i}function j(t){return t.offsetTop+t.clientTop}function U(t){return t.offsetLeft+t.clientLeft}function V(t,e){var 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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\"}}e.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\"}}}},{\"../../../lib\":503,\"../../../lib/extend\":493,\"../../domain\":584,\"./axis_attributes\":600}],605:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),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)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":528}],606:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var f=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d/g,\" \"));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;ar.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},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 c=Object.keys(e.traces),u=null,h=e.glplot.selection,m=0;m\")):\"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(\"
\")):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*y[0]/y[3])*s,y:(.5-.5*y[1]/y[3])*l,xLabel:T.xLabel,yLabel:T.yLabel,zLabel:T.zLabel,text:x,name:u.name,color:d.castHoverOption(_,w,\"bgcolor\")||u.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. Context lost.\")};requestAnimationFrame(e)};var k=[\"xaxis\",\"yaxis\",\"zaxis\"];function A(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=k[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(u||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;dg[1][a])g[0][a]=-1,g[1][a]=1;else{var L=g[1][a]-g[0][a];g[0][a]-=L/32,g[1][a]+=L/32}if(\"reversed\"===s.autorange){var C=g[0][a];g[0][a]=g[1][a],g[1][a]=C}}else{var P=s.range;g[0][a]=s.r2l(P[0]),g[1][a]=s.r2l(P[1])}g[0][a]===g[1][a]&&(g[0][a]-=1,g[1][a]+=1),v[a]=g[1][a]-g[0][a],this.glplot.setBounds(a,{min:g[0][a]*h[a],max:g[1][a]*h[a]})}var I=c.aspectmode;if(\"cube\"===I)d=[1,1,1];else if(\"manual\"===I){var O=c.aspectratio;d=[O.x,O.y,O.z]}else{if(\"auto\"!==I&&\"data\"!==I)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var z=[1,1,1];for(a=0;a<3;++a){var D=y[l=(s=c[k[a]]).type];z[a]=Math.pow(D.acc,1/D.count)/h[a]}d=\"data\"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),h=l||c;if(h){var p={};if(l&&(e=this.getCamera(),n=(r=f.nestedProperty(t,this.id+\".camera\")).get(),p[this.id+\".camera\"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=f.nestedProperty(t,this.id+\".aspectratio\")).get(),p[this.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,s._preGUI,p),l)r.set(e),f.nestedProperty(s,this.id+\".camera\").set(e);if(c)a.set(i),f.nestedProperty(s,this.id+\".aspectratio\").set(i),this.glplot.redraw()}return h},w.updateFx=function(t,e){var r=this.camera;if(r)if(\"orbit\"===t)r.mode=\"orbit\",r.keyBindingMode=\"rotate\";else if(\"turntable\"===t){r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+\".camera.up\",h={x:0,y:0,z:1},p={};p[c]=h;var d=n.layout;u.call(\"_storeDirectGUIEdit\",d,i._preGUI,p),a.up=h,f.nestedProperty(d,c).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a),function(t,e,r){for(var n=0,i=r-1;n0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(a,r,i);var o=document.createElement(\"canvas\");o.width=r,o.height=i;var s,l=o.getContext(\"2d\",{willReadFrequently:!0}),c=l.createImageData(r,i);switch(c.data.set(a),l.putImageData(c,0,0),t){case\"jpeg\":s=o.toDataURL(\"image/jpeg\");break;case\"webp\":s=o.toDataURL(\"image/webp\");break;default:s=o.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(n),s},w.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[k[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},w.make4thDimension=function(){var t=this.graphDiv._fullLayout;this._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},p.setConvert(this._mockAxis,t)},e.exports=_},{\"../../../stackgl_modules\":1124,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/show_no_webgl_msg\":525,\"../../lib/str2rgbarray\":528,\"../../plots/cartesian/axes\":554,\"../../registry\":638,\"./layout/convert\":602,\"./layout/spikes\":605,\"./layout/tick_marks\":606,\"./project\":607,\"has-passive-events\":229,\"webgl-context\":331}],609:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;aOpenStreetMap contributors',a=['\\xa9 Carto',i].join(\" \"),o=['Map tiles by Stamen Design','under CC BY 3.0',\"|\",'Data by OpenStreetMap contributors','under ODbL'].join(\" \"),s={\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:i,tiles:[\"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png\",\"https://b.tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}]},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}]},\"carto-positron\":{id:\"carto-positron\",version:8,sources:{\"plotly-carto-positron\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-positron\",type:\"raster\",source:\"plotly-carto-positron\",minzoom:0,maxzoom:22}]},\"carto-darkmatter\":{id:\"carto-darkmatter\",version:8,sources:{\"plotly-carto-darkmatter\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-darkmatter\",type:\"raster\",source:\"plotly-carto-darkmatter\",minzoom:0,maxzoom:22}]},\"stamen-terrain\":{id:\"stamen-terrain\",version:8,sources:{\"plotly-stamen-terrain\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-terrain\",type:\"raster\",source:\"plotly-stamen-terrain\",minzoom:0,maxzoom:22}]},\"stamen-toner\":{id:\"stamen-toner\",version:8,sources:{\"plotly-stamen-toner\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/toner/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-toner\",type:\"raster\",source:\"plotly-stamen-toner\",minzoom:0,maxzoom:22}]},\"stamen-watercolor\":{id:\"stamen-watercolor\",version:8,sources:{\"plotly-stamen-watercolor\":{type:\"raster\",attribution:['Map tiles by Stamen Design','under CC BY 3.0',\"|\",'Data by OpenStreetMap contributors','under CC BY SA'].join(\" \"),tiles:[\"https://stamen-tiles.a.ssl.fastly.net/watercolor/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-watercolor\",type:\"raster\",source:\"plotly-stamen-watercolor\",minzoom:0,maxzoom:22}]}},l=n(s);e.exports={requiredVersion:\"1.10.1\",styleUrlPrefix:\"mapbox://styles/mapbox/\",styleUrlSuffix:\"v9\",styleValuesMapbox:[\"basic\",\"streets\",\"outdoors\",\"light\",\"dark\",\"satellite\",\"satellite-streets\"],styleValueDflt:\"basic\",stylesNonMapbox:s,styleValuesNonMapbox:l,traceLayerPrefix:\"plotly-trace-layer-\",layoutLayerPrefix:\"plotly-layout-layer-\",wrongVersionErrorMsg:[\"Your custom plotly.js bundle is not using the correct mapbox-gl version\",\"Please install mapbox-gl@1.10.1.\"].join(\"\\n\"),noAccessTokenErrorMsg:[\"Missing Mapbox access token.\",\"Mapbox trace type require a Mapbox access token to be registered.\",\"For example:\",\" Plotly.newPlot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });\",\"More info here: https://www.mapbox.com/help/define-access-token/\"].join(\"\\n\"),missingStyleErrorMsg:[\"No valid mapbox style found, please set `mapbox.style` to one of:\",l.join(\", \"),\"or register a Mapbox access token to use a Mapbox-served style.\"].join(\"\\n\"),multipleTokensErrorMsg:[\"Set multiple mapbox access token across different mapbox subplot,\",\"using first token found as mapbox-gl does not allow multipleaccess tokens on the same page.\"].join(\"\\n\"),mapOnErrorMsg:\"Mapbox error.\",mapboxLogo:{path0:\"m 10.5,1.24 c -5.11,0 -9.25,4.15 -9.25,9.25 0,5.1 4.15,9.25 9.25,9.25 5.1,0 9.25,-4.15 9.25,-9.25 0,-5.11 -4.14,-9.25 -9.25,-9.25 z m 4.39,11.53 c -1.93,1.93 -4.78,2.31 -6.7,2.31 -0.7,0 -1.41,-0.05 -2.1,-0.16 0,0 -1.02,-5.64 2.14,-8.81 0.83,-0.83 1.95,-1.28 3.13,-1.28 1.27,0 2.49,0.51 3.39,1.42 1.84,1.84 1.89,4.75 0.14,6.52 z\",path1:\"M 10.5,-0.01 C 4.7,-0.01 0,4.7 0,10.49 c 0,5.79 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k,A=this.xOffset2=n.l+n.w*g[0],M=this.yOffset2=n.t+n.h*(1-v[1]),S=this.radius=d/b,E=this.innerRadius=this.getHole(e)*S,L=this.cx=A-S*x[0],C=this.cy=M+S*x[3],P=this.cxx=L-A,I=this.cyy=C-M,O=i.side;\"counterclockwise\"===O?(k=O,O=\"top\"):\"clockwise\"===O&&(k=O,O=\"bottom\"),this.radialAxis=this.mockAxis(t,e,i,{_id:\"x\",side:O,_trueSide:k,domain:[E/n.w,S/n.w]}),this.angularAxis=this.mockAxis(t,e,a,{side:\"right\",domain:[0,Math.PI],autorange:!1}),this.doAutoRange(t,e),this.updateAngularAxis(t,e),this.updateRadialAxis(t,e),this.updateRadialAxisTitle(t,e),this.xaxis=this.mockCartesianAxis(t,e,{_id:\"x\",domain:g}),this.yaxis=this.mockCartesianAxis(t,e,{_id:\"y\",domain:v});var z=this.pathSubplot();this.clipPaths.forTraces.select(\"path\").attr(\"d\",z).attr(\"transform\",l(P,I)),r.frontplot.attr(\"transform\",l(A,M)).call(u.setClipUrl,this._hasClipOnAxisFalse?null:this.clipIds.forTraces,this.gd),r.bg.attr(\"d\",z).attr(\"transform\",l(L,C)).call(c.fill,e.bgcolor)},N.mockAxis=function(t,e,r,n){var i=o.extendFlat({},r,n);return d(i,e,t),i},N.mockCartesianAxis=function(t,e,r){var n=this,i=n.isSmith,a=r._id,s=o.extendFlat({type:\"linear\"},r);p(s,t);var l={x:[0,2],y:[1,3]};return s.setRange=function(){var t=n.sectorBBox,r=l[a],i=n.radialAxis._rl,o=(i[1]-i[0])/(1-n.getHole(e));s.range=[t[r[0]]*o,t[r[1]]*o]},s.isPtWithinRange=\"x\"!==a||i?function(){return!0}:function(t){return n.isPtInside(t)},s.setRange(),s.setScale(),s},N.doAutoRange=function(t,e){var r=this.gd,n=this.radialAxis,i=this.getRadial(e);m(r,n);var a=n.range;i.range=a.slice(),i._input.range=a.slice(),n._rl=[n.r2l(a[0],null,\"gregorian\"),n.r2l(a[1],null,\"gregorian\")]},N.updateRadialAxis=function(t,e){var r=this,n=r.gd,i=r.layers,a=r.radius,u=r.innerRadius,f=r.cx,p=r.cy,d=r.getRadial(e),m=D(r.getSector(e)[0],360),g=r.radialAxis,v=u90&&m<=270&&(g.tickangle=180);var x=y?function(t){var e=O(r,C([t.x,0]));return l(e[0]-f,e[1]-p)}:function(t){return l(g.l2p(t.x)+u,0)},b=y?function(t){return I(r,t.x,-1/0,1/0)}:function(t){return r.pathArc(g.r2p(t.x)+u)},_=j(d);if(r.radialTickLayout!==_&&(i[\"radial-axis\"].selectAll(\".xtick\").remove(),r.radialTickLayout=_),v){g.setScale();var w=0,T=y?(g.tickvals||[]).filter((function(t){return t>=0})).map((function(t){return 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n=v(t);return-.5*(1+Math.sin(n))*r}},k=j(d);r.angularTickLayout!==k&&(i[\"angular-axis\"].selectAll(\".\"+m._id+\"tick\").remove(),r.angularTickLayout=k);var A,S=g?[1/0].concat(m.tickvals||[]).map((function(t){return h.tickText(m,t,!0,!1)})):h.calcTicks(m);if(g&&(S[0].text=\"\\u221e\",S[0].fontSize*=1.75),\"linear\"===e.gridshape?(A=S.map(v),o.angleDelta(A[0],A[1])<0&&(A=A.slice().reverse())):A=null,r.vangles=A,\"category\"===m.type&&(S=S.filter((function(t){return o.isAngleInsideSector(v(t),r.sectorInRad)}))),m.visible){var E=\"inside\"===m.ticks?-1:1,L=(m.linewidth||1)/2;h.drawTicks(n,m,{vals:S,layer:i[\"angular-axis\"],path:\"M\"+E*L+\",0h\"+E*m.ticklen,transFn:b,crisp:!1}),h.drawGrid(n,m,{vals:S,layer:i[\"angular-grid\"],path:_,transFn:o.noop,crisp:!1}),h.drawLabels(n,m,{vals:S,layer:i[\"angular-axis\"],repositionOnUpdate:!0,transFn:x,labelFns:T})}V(i[\"angular-line\"].select(\"path\"),d.showline,{d:r.pathSubplot(),transform:l(f,p)}).attr(\"stroke-width\",d.linewidth).call(c.stroke,d.linecolor)},N.updateFx=function(t,e){this.gd._context.staticPlot||(!this.isSmith&&(this.updateAngularDrag(t),this.updateRadialDrag(t,e,0),this.updateRadialDrag(t,e,1)),this.updateHoverAndMainDrag(t))},N.updateHoverAndMainDrag=function(t){var e,r,s=this,c=s.isSmith,u=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,m=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,I=E.clampTiny,O=E.findXYatLength,z=E.findEnclosingVertexAngles,D=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){y.hover(u,t,s.id),u._fullLayout._lasthover=F,u._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){u._dragging||v.unhover(u,t)};var B,N,j,U,V,H,q,G,Y,W={element:F,gd:u,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function X(t,e){return Math.sqrt(t*t+e*e)}function Z(t,e){return X(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 Q(t,e){if(0===t)return s.pathSector(2*D);var r=R/t,n=e-r,i=e+r,a=Math.max(0,Math.min(t,m)),o=a-D,l=a+D;return\"M\"+K(o,n)+\"A\"+[o,o]+\" 0,0,0 \"+K(o,i)+\"L\"+K(l,i)+\"A\"+[l,l]+\" 0,0,1 \"+K(l,n)+\"Z\"}function $(t,e,r){if(0===t)return s.pathSector(2*D);var n,i,a=K(t,e),o=K(t,r),l=I((a[0]+o[0])/2),c=I((a[1]+o[1])/2);if(l&&c){var u=c/l,f=-1/u,h=O(D,u,l,c);n=O(R,f,h[0][0],h[0][1]),i=O(R,f,h[1][0],h[1][1])}else{var p,d;c?(p=R,d=D):(p=D,d=R),n=[[l-p,c-d],[l+p,c-d]],i=[[l-p,c+d],[l+p,c+d]]}return\"M\"+n.join(\"L\")+\"L\"+i.reverse().join(\"L\")+\"Z\"}function tt(t,e){return e=Math.max(Math.min(e,m),x),tp?(t-1&&1===t&&_(e,u,[s.xaxis],[s.yaxis],s.id,W),r.indexOf(\"event\")>-1&&y.click(u,e,s.id)}W.prepFn=function(t,n,a){var l=u._fullLayout.dragmode,f=F.getBoundingClientRect();u._fullLayout._calcInverseTransform(u);var p=u._fullLayout._invTransform;e=u._fullLayout._invScaleX,r=u._fullLayout._invScaleY;var d=o.apply3DTransform(p)(n-f.left,a-f.top);if(B=d[0],N=d[1],C){var v=E.findPolygonOffset(m,L[0],L[1],C);B+=A+v[0],N+=M+v[1]}switch(l){case\"zoom\":W.clickFn=st,c||(W.moveFn=C?it:rt,W.doneFn=at,function(){j=null,U=null,V=s.pathSubplot(),H=!1;var t=u._fullLayout[s.id];q=i(t.bgcolor).getLuminance(),(G=g.makeZoombox(h,q,T,k,V)).attr(\"fill-rule\",\"evenodd\"),Y=g.makeCorners(h,T,k),w(u)}());break;case\"select\":case\"lasso\":b(t,n,a,W,l)}},v.init(W)},N.updateRadialDrag=function(t,e,r){var i=this,c=i.gd,u=i.layers,f=i.radius,h=i.innerRadius,p=i.cx,d=i.cy,m=i.radialAxis,y=S.radialDragBoxSize,x=y/2;if(m.visible){var b,_,T,M=R(i.radialAxisAngle),E=m._rl,L=E[0],C=E[1],P=E[r],I=.75*(E[1]-E[0])/(1-i.getHole(e))/f;r?(b=p+(f+x)*Math.cos(M),_=d-(f+x)*Math.sin(M),T=\"radialdrag\"):(b=p+(h-x)*Math.cos(M),_=d-(h-x)*Math.sin(M),T=\"radialdrag-inner\");var O,z,D,B=g.makeRectDragger(u,T,\"crosshair\",-x,-x,y,y),N={element:B,gd:c};!1===t.dragmode&&(N.dragmode=!1),V(n.select(B),m.visible&&h0==(r?D>L:Dn?function(t){return t<=0}:function(t){return t>=0};t.c2g=function(r){var n=t.c2l(r)-e;return(s(n)?n:0)+o},t.g2c=function(r){return t.l2c(r+e-o)},t.g2p=function(t){return t*a},t.c2p=function(e){return t.g2p(t.c2g(e))}}}(t,e);break;case\"angularaxis\":!function(t,e){var r=t.type;if(\"linear\"===r){var i=t.d2c,s=t.c2d;t.d2c=function(t,e){return function(t,e){return\"degrees\"===e?a(t):t}(i(t),e)},t.c2d=function(t,e){return s(function(t,e){return\"degrees\"===e?o(t):t}(t,e))}}t.makeCalcdata=function(e,i){var a,o,s=e[i],l=e._length,c=function(r){return t.d2c(r,e.thetaunit)};if(s){if(n.isTypedArray(s)&&\"linear\"===r){if(l===s.length)return s;if(s.subarray)return s.subarray(0,l)}for(a=new Array(l),o=0;o0?1:0}function i(t){var e=t[0],r=t[1];if(!isFinite(e)||!isFinite(r))return[1,0];var n=(e+1)*(e+1)+r*r;return[(e*e+r*r-1)/n,2*r/n]}function a(t,e){var r=e[0],n=e[1];return[r*t.radius+t.cx,-n*t.radius+t.cy]}function o(t,e){return e*t.radius}e.exports={smith:i,reactanceArc:function(t,e,r,n){var s=a(t,i([r,e])),l=s[0],c=s[1],u=a(t,i([n,e])),f=u[0],h=u[1];if(0===e)return[\"M\"+l+\",\"+c,\"L\"+f+\",\"+h].join(\" \");var p=o(t,1/Math.abs(e));return[\"M\"+l+\",\"+c,\"A\"+p+\",\"+p+\" 0 0,\"+(e<0?1:0)+\" \"+f+\",\"+h].join(\" \")},resistanceArc:function(t,e,r,s){var l=o(t,1/(e+1)),c=a(t,i([e,r])),u=c[0],f=c[1],h=a(t,i([e,s])),p=h[0],d=h[1];if(n(r)!==n(s)){var m=a(t,i([e,0]));return[\"M\"+u+\",\"+f,\"A\"+l+\",\"+l+\" 0 0,\"+(00){for(var n=[],i=0;i=u&&(h.min=0,d.min=0,g.min=0,t.aaxis&&delete t.aaxis.min,t.baxis&&delete t.baxis.min,t.caxis&&delete t.caxis.min)}function m(t,e,r,n){var i=h[e._name];function o(r,n){return a.coerce(t,e,i,r,n)}o(\"uirevision\",n.uirevision),e.type=\"linear\";var p=o(\"color\"),d=p!==i.color.dflt?p:r.font.color,m=e._name.charAt(0).toUpperCase(),g=\"Component 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S=M.prototype;S.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},S.plot=function(t,e){var r=e[this.id],n=e._size;this._hasClipOnAxisFalse=!1;for(var i=0;iE*b?i=(a=b)*E:a=(i=x)/E,o=v*i/x,l=y*a/b,r=e.l+e.w*m-i/2,n=e.t+e.h*(1-g)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[m-o/2,m+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[g-l/2,g+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var 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e=I(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},O.heightFn=function(t,e,r){var n=I(t);return-.5*(1+Math.sin(n))*r};var D=function(t){return l(b[0]+g*Math.cos(t),b[1]-g*Math.sin(t))};f=function(t){return D(I(t))};if(s=d.calcTicks(o),h=d.getTickSigns(o)[2],o.visible){h=\"inside\"===o.ticks?-1:1;var R=(o.linewidth||1)/2;d.drawTicks(t,o,{vals:s,layer:A,path:\"M\"+h*R+\",0h\"+h*o.ticklen,transFn:function(t){var e=I(t);return D(e)+\"rotate(\"+-c(e)+\")\"}}),d.drawLabels(t,o,{vals:s,layer:A,transFn:f,labelFns:O})}var F=[y].concat(p.gauge.steps),B=_.selectAll(\"g.bg-arc\").data(F);B.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),B.select(\"path\").call(P).call(T),B.exit().remove();var N=C(p.gauge.bar.thickness),j=_.selectAll(\"g.value-arc\").data([p.gauge.bar]);j.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var U=j.select(\"path\");w(M)?(U.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){S&&S()})).each(\"interrupt\",(function(){S&&S()})).attrTween(\"d\",(V=N,H=L(r[0].lastY),q=L(r[0].y),function(){var t=i(H,q);return function(e){return V.endAngle(t(e))()}})),p._lastValue=r[0].y):U.attr(\"d\",\"number\"==typeof r[0].y?N.endAngle(L(r[0].y)):\"M0,0Z\");var V,H,q;U.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var Y=_.selectAll(\"g.threshold-arc\").data(F);Y.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),Y.select(\"path\").call(P).call(T),Y.exit().remove();var W=_.selectAll(\"g.gauge-outline\").data([x]);W.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),W.select(\"path\").call(P).call(T),W.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:Y,layer:W,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var X=O.selectAll(\"g.bullet\").data(R?e:[]);X.exit().remove();var Z=O.selectAll(\"g.bulletaxis\").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,c,u=r[0].trace,f=n.gauge,p=n.layer,m=n.gaugeBg,g=n.gaugeOutline,v=n.size,x=u.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",l(v.l,v.t)),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var A=v.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-h.bulletNumberDomainSize:1);(i=k(t,u.gauge.axis))._id=\"xbulletaxis\",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(d.drawTicks(t,i,{vals:\"inside\"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,c,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,c)}));function L(t){t.attr(\"width\",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr(\"x\",(function(t){return i.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*A})).attr(\"height\",(function(t){return t.thickness*A}))}var C=[m].concat(u.gauge.steps),P=f.selectAll(\"g.bg-bullet\").data(C);P.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),P.select(\"rect\").call(L).call(T),P.exit().remove();var I=f.selectAll(\"g.value-bullet\").data([u.gauge.bar]);I.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),I.select(\"rect\").attr(\"height\",M).attr(\"y\",(A-M)/2).call(T),w(b)?I.select(\"rect\").transition().duration(b.duration).ease(b.easing).each(\"end\",(function(){_&&_()})).each(\"interrupt\",(function(){_&&_()})).attr(\"width\",Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y)))):I.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y))):0);I.exit().remove();var O=r.filter((function(){return u.gauge.threshold.value||0===u.gauge.threshold.value})),z=f.selectAll(\"g.threshold-bullet\").data(O);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",i.c2p(u.gauge.threshold.value)).attr(\"x2\",i.c2p(u.gauge.threshold.value)).attr(\"y1\",(1-u.gauge.threshold.thickness)/2*A).attr(\"y2\",(1-(1-u.gauge.threshold.thickness)/2)*A).call(y.stroke,u.gauge.threshold.line.color).style(\"stroke-width\",u.gauge.threshold.line.width),z.exit().remove();var D=f.selectAll(\"g.gauge-outline\").data([g]);D.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),D.select(\"rect\").call(L).call(T),D.exit().remove()}(t,0,e,{gauge:X,layer:Z,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var J=O.selectAll(\"text.title\").data(e);J.exit().remove(),J.enter().append(\"text\").classed(\"title\",!0),J.attr(\"text-anchor\",(function(){return 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../mesh3d/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;var 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u=e[a[0]],f=e[a[1]],h=e[a[2]],p=B(h,u,n,i),d=B(h,f,n,i);o=l(t,[d,p,u],[-1,-1,r[a[0]]])||o,o=l(t,[u,f,d],[r[a[0]],r[a[1]],-1])||o,c=!0}})),c||[[0,1,2],[1,2,0],[2,0,1]].forEach((function(a){if(s[a[0]]&&!s[a[1]]&&!s[a[2]]){var u=e[a[0]],f=e[a[1]],h=e[a[2]],p=B(f,u,n,i),d=B(h,u,n,i);o=l(t,[d,p,u],[-1,-1,r[a[0]]])||o,c=!0}})),o}function H(t,e,r,n){var i=!1,a=U(e),o=[N(a[0][3],r,n),N(a[1][3],r,n),N(a[2][3],r,n),N(a[3][3],r,n)];if(!(o[0]||o[1]||o[2]||o[3]))return i;if(o[0]&&o[1]&&o[2]&&o[3])return m&&(i=function(t,e,r){var n=function(n,i,a){F(t,[e[n],e[i],e[a]],[r[n],r[i],r[a]])};n(0,1,2),n(3,0,1),n(2,3,0),n(1,2,3)}(t,a,e)||i),i;var s=!1;return[[0,1,2,3],[3,0,1,2],[2,3,0,1],[1,2,3,0]].forEach((function(l){if(o[l[0]]&&o[l[1]]&&o[l[2]]&&!o[l[3]]){var c=a[l[0]],u=a[l[1]],f=a[l[2]],h=a[l[3]];if(m)i=F(t,[c,u,f],[e[l[0]],e[l[1]],e[l[2]]])||i;else{var 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i._trace=a,a.update(e),t.glplot.add(i),a}}},{\"../../../stackgl_modules\":1124,\"../../components/colorscale\":378,\"../../lib/gl_format_color\":499,\"../../lib/str2rgbarray\":528,\"../../plots/gl3d/zip3\":609}],865:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./attributes\"),o=t(\"../../components/colorscale/defaults\");function s(t,e,r,n,a){var s=a(\"isomin\"),l=a(\"isomax\");null!=l&&null!=s&&s>l&&(e.isomin=null,e.isomax=null);var c=a(\"x\"),u=a(\"y\"),f=a(\"z\"),h=a(\"value\");c&&c.length&&u&&u.length&&f&&f.length&&h&&h.length?(i.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],n),a(\"valuehoverformat\"),[\"x\",\"y\",\"z\"].forEach((function(t){a(t+\"hoverformat\");var e=\"caps.\"+t;a(e+\".show\")&&a(e+\".fill\");var r=\"slices.\"+t;a(r+\".show\")&&(a(r+\".fill\"),a(r+\".locations\"))})),a(\"spaceframe.show\")&&a(\"spaceframe.fill\"),a(\"surface.show\")&&(a(\"surface.count\"),a(\"surface.fill\"),a(\"surface.pattern\")),a(\"contour.show\")&&(a(\"contour.color\"),a(\"contour.width\")),[\"text\",\"hovertext\",\"hovertemplate\",\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"opacity\"].forEach((function(t){a(t)})),o(t,e,n,a,{prefix:\"\",cLetter:\"c\"}),e._length=null):e.visible=!1}e.exports={supplyDefaults:function(t,e,r,i){s(t,e,r,i,(function(r,i){return n.coerce(t,e,a,r,i)}))},supplyIsoDefaults:s}},{\"../../components/colorscale/defaults\":376,\"../../lib\":503,\"../../registry\":638,\"./attributes\":862}],866:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,calc:t(\"./calc\"),colorbar:{min:\"cmin\",max:\"cmax\"},plot:t(\"./convert\").createIsosurfaceTrace,moduleType:\"trace\",name:\"isosurface\",basePlotModule:t(\"../../plots/gl3d\"),categories:[\"gl3d\",\"showLegend\"],meta:{}}},{\"../../plots/gl3d\":598,\"./attributes\":862,\"./calc\":863,\"./convert\":864,\"./defaults\":865}],867:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../surface/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat;e.exports=l({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 0},n(\"\",{colorAttr:\"`intensity`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:o.opacity,flatshading:{valType:\"boolean\",dflt:!1,editType:\"calc\"},contour:{show:l({},o.contours.x.show,{}),color:o.contours.x.color,width:o.contours.x.width,editType:\"calc\"},lightposition:{x:l({},o.lightposition.x,{dflt:1e5}),y:l({},o.lightposition.y,{dflt:1e5}),z:l({},o.lightposition.z,{dflt:0}),editType:\"calc\"},lighting:l({vertexnormalsepsilon:{valType:\"number\",min:0,max:1,dflt:1e-12,editType:\"calc\"},facenormalsepsilon:{valType:\"number\",min:0,max:1,dflt:1e-6,editType:\"calc\"},editType:\"calc\"},o.lighting),hoverinfo:l({},s.hoverinfo,{editType:\"calc\"}),showlegend:l({},s.showlegend,{dflt:!1})})},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/cartesian/axis_format_attributes\":557,\"../../plots/template_attributes\":633,\"../surface/attributes\":1061}],868:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.intensity&&n(t,e,{vals:e.intensity,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374}],869:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_mesh3d,i=t(\"../../../stackgl_modules\").delaunay_triangulate,a=t(\"../../../stackgl_modules\").alpha_shape,o=t(\"../../../stackgl_modules\").convex_hull,s=t(\"../../lib/gl_format_color\").parseColorScale,l=t(\"../../lib/str2rgbarray\"),c=t(\"../../components/colorscale\").extractOpts,u=t(\"../../plots/gl3d/zip3\");function f(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var h=f.prototype;function p(t){for(var e=[],r=t.length,n=0;n=e-.5)return!1;return!0}h.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return Array.isArray(r)&&void 0!==r[e]?t.textLabel=r[e]:r&&(t.textLabel=r),!0}},h.update=function(t){var e=this.scene,r=e.fullSceneLayout;this.data=t;var n,f=t.x.length,h=u(d(r.xaxis,t.x,e.dataScale[0],t.xcalendar),d(r.yaxis,t.y,e.dataScale[1],t.ycalendar),d(r.zaxis,t.z,e.dataScale[2],t.zcalendar));if(t.i&&t.j&&t.k){if(t.i.length!==t.j.length||t.j.length!==t.k.length||!g(t.i,f)||!g(t.j,f)||!g(t.k,f))return;n=u(m(t.i),m(t.j),m(t.k))}else n=0===t.alphahull?o(h):t.alphahull>0?a(t.alphahull,h):function(t,e){for(var r=[\"x\",\"y\",\"z\"].indexOf(t),n=[],a=e.length,o=0;ov):g=A>w,v=A;var M=c(w,T,k,A);M.pos=_,M.yc=(w+A)/2,M.i=b,M.dir=g?\"increasing\":\"decreasing\",M.x=M.pos,M.y=[k,T],y&&(M.orig_p=r[b]),d&&(M.tx=e.text[b]),m&&(M.htx=e.hovertext[b]),x.push(M)}else x.push({pos:_,empty:!0})}return e._extremes[l._id]=a.findExtremes(l,n.concat(h,f),{padded:!0}),x.length&&(x[0].t={labels:{open:i(t,\"open:\")+\" \",high:i(t,\"high:\")+\" \",low:i(t,\"low:\")+\" \",close:i(t,\"close:\")+\" \"}}),x}e.exports={calc:function(t,e){var r=a.getFromId(t,e.xaxis),i=a.getFromId(t,e.yaxis),s=function(t,e,r){var i=r._minDiff;if(!i){var a,s=t._fullData,l=[];for(i=1/0,a=0;a\"+c.labels[x]+n.hoverLabelText(s,b,l.yhoverformat):((y=i.extendFlat({},h)).y0=y.y1=_,y.yLabelVal=b,y.yLabel=c.labels[x]+n.hoverLabelText(s,b,l.yhoverformat),y.name=\"\",f.push(y),g[b]=y)}return f}function h(t,e,r,i){var a=t.cd,o=t.ya,l=a[0].trace,f=a[0].t,h=u(t,e,r,i);if(!h)return[];var p=a[h.index],d=h.index=p.i,m=p.dir;function g(t){return f.labels[t]+n.hoverLabelText(o,l[t][d],l.yhoverformat)}var v=p.hi||l.hoverinfo,y=v.split(\"+\"),x=\"all\"===v,b=x||-1!==y.indexOf(\"y\"),_=x||-1!==y.indexOf(\"text\"),w=b?[g(\"open\"),g(\"high\"),g(\"low\"),g(\"close\")+\" \"+c[m]]:[];return _&&s(p,l,w),h.extraText=w.join(\"
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o=r(\"x\"),s=r(\"open\"),l=r(\"high\"),c=r(\"low\"),u=r(\"close\");if(r(\"hoverlabel.split\"),n.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\"],a),s&&l&&c&&u){var f=Math.min(s.length,l.length,c.length,u.length);return o&&(f=Math.min(f,i.minRowLength(o))),e._length=f,f}}},{\"../../lib\":503,\"../../registry\":638}],878:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../lib\");e.exports=function(t,e,r,a){var o=e.yaxis,s=e.xaxis,l=!!s.rangebreaks;i.makeTraceGroups(a,r,\"trace ohlc\").each((function(t){var e=n.select(this),r=t[0],a=r.t;if(!0!==r.trace.visible||a.empty)e.remove();else{var c=a.tickLen,u=e.selectAll(\"path\").data(i.identity);u.enter().append(\"path\"),u.exit().remove(),u.attr(\"d\",(function(t){if(t.empty)return\"M0,0Z\";var e=s.c2p(t.pos-c,!0),r=s.c2p(t.pos+c,!0),n=l?(e+r)/2:s.c2p(t.pos,!0);return\"M\"+e+\",\"+o.c2p(t.o,!0)+\"H\"+n+\"M\"+n+\",\"+o.c2p(t.h,!0)+\"V\"+o.c2p(t.l,!0)+\"M\"+r+\",\"+o.c2p(t.c,!0)+\"H\"+n}))}}))}},{\"../../lib\":503,\"@plotly/d3\":58}],879:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r,n=t.cd,i=t.xaxis,a=t.yaxis,o=[],s=n[0].t.bPos||0;if(!1===e)for(r=0;r=t.length)return!1;if(void 0!==e[t[r]])return!1;e[t[r]]=!0}return!0}(t.map((function(t){return t.displayindex}))))for(e=0;e0;c&&(o=\"array\");var u=r(\"categoryorder\",o);\"array\"===u?(r(\"categoryarray\"),r(\"ticktext\")):(delete t.categoryarray,delete t.ticktext),c||\"array\"!==u||(e.categoryorder=\"trace\")}}e.exports=function(t,e,r,f){function h(r,i){return n.coerce(t,e,l,r,i)}var p=s(t,e,{name:\"dimensions\",handleItemDefaults:u}),d=function(t,e,r,o,s){s(\"line.shape\"),s(\"line.hovertemplate\");var l=s(\"line.color\",o.colorway[0]);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return 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strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcats\",basePlotModule:t(\"./base_plot\"),categories:[\"noOpacity\"],meta:{}}},{\"./attributes\":881,\"./base_plot\":882,\"./calc\":883,\"./defaults\":884,\"./plot\":887}],886:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"d3-interpolate\").interpolateNumber,a=t(\"../../plot_api/plot_api\"),o=t(\"../../components/fx\"),s=t(\"../../lib\"),l=s.strTranslate,c=t(\"../../components/drawing\"),u=t(\"tinycolor2\"),f=t(\"../../lib/svg_text_utils\");function h(t,e,r,i){var a=t.map(F.bind(0,e,r)),o=i.selectAll(\"g.parcatslayer\").data([null]);o.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",\"all\");var u=o.selectAll(\"g.trace.parcats\").data(a,p),h=u.enter().append(\"g\").attr(\"class\",\"trace 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t.categories}),p),M=A.enter().append(\"g\").attr(\"class\",\"category\");A.attr(\"transform\",(function(t){return l(0,t.y)})),M.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),A.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),T(M);var S=A.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p);S.each((function(){s.raiseToTop(this)})),S.attr(\"fill\",(function(t){return t.color}));var E=S.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);S.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(E),S.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;A.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 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t.model.rawColor>e.model.rawColor?1:t.model.rawColor\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+m.left,y:_-d.top+m.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L1&&h.displayInd===f.dimensions.length-1?(i=c.left,a=\"left\"):(i=c.left+c.width,a=\"right\");var m=u.model.count,g=u.model.categoryLabel,v=m/u.parcatsViewModel.model.count,y={countLabel:m,categoryLabel:g,probabilityLabel:v.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",y.countLabel].join(\" \")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+y.categoryLabel+\"):\",y.probabilityLabel].join(\" \"));var b=x.join(\"
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e=t.parcatsViewModel;if(!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(m),-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.yf.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.dragXp.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel)}}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=z(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-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),D(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function z(t){for(var e,r=t.graphDiv._fullData,n=0;n=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=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)),ni?1:0}));for(var h=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),m=0;m0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b1?(t.width-80-16)/(n-1):0)*i;var a,o,s,l,c,u=[],f=t.model.maxCats,h=e.categories.length,p=e.count,d=t.height-8*(f-1),m=8*(f-h)/2,g=e.categories.map((function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}}));for(g.sort((function(t,e){return t.displayInd-e.displayInd})),c=0;c0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:a,y:null!==o.dragY?o.dragY:m,bands:[],parcatsViewModel:t},m=m+a+8,u.push(s);return{key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:u,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}e.exports=function(t,e,r,n){h(r,t,n,e)}},{\"../../components/drawing\":388,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plot_api/plot_api\":540,\"@plotly/d3\":58,\"d3-interpolate\":116,tinycolor2:312}],887:[function(t,e,r){\"use strict\";var n=t(\"./parcats\");e.exports=function(t,e,r,i){var a=t._fullLayout,o=a._paper,s=a._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,i)}},{\"./parcats\":886}],888:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/layout_attributes\"),a=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.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\"}))}},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/plot_template\":543,\"../../plots/cartesian/layout_attributes\":569,\"../../plots/domain\":584,\"../../plots/font_attributes\":585}],889:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"@plotly/d3\"),a=t(\"../../lib/gup\").keyFun,o=t(\"../../lib/gup\").repeat,s=t(\"../../lib\").sorterAsc,l=t(\"../../lib\").strTranslate,c=n.bar.snapRatio;function u(t,e){return t*(1-c)+e*c}var f=n.bar.snapClose;function h(t,e){return t*(1-f)+e*f}function p(t,e,r,n){if(function(t,e){for(var r=0;r=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var i=t?-1:1,a=0,o=e.length-1;if(i<0){var s=a;a=o,o=s}for(var l=e[a],c=l,f=a;i*fe){h=r;break}}if(a=u,isNaN(a)&&(a=isNaN(f)||isNaN(h)?isNaN(f)?h:f:e-c[f][1]t[1]+r||e=.9*t[1]+.1*t[0]?\"n\":e<=.9*t[0]+.1*t[1]?\"s\":\"ns\"}(d,e);m&&(o.interval=l[a],o.intervalPix=d,o.region=m)}}if(t.ordinal&&!o.region){var g=t.unitTickvals,y=t.unitToPaddedPx.invert(e);for(r=0;r=x[0]&&y<=x[1]){o.clickableOrdinalRange=x;break}}}return o}function w(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.brush.svgBrush;a.wasDragged=!0,a._dragging=!0,a.grabbingBar?a.newExtent=[r-a.grabPoint,r+a.barLength-a.grabPoint].map(e.unitToPaddedPx.invert):a.newExtent=[a.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,a.extent=a.stayingIntervals.concat([a.newExtent]),a.brushCallback(e),b(t.parentNode)}function T(t,e){var r=_(e,e.height-i.mouse(t)[1]-2*n.verticalPadding),a=\"crosshair\";r.clickableOrdinalRange?a=\"pointer\":r.region&&(a=r.region+\"-resize\"),i.select(document.body).style(\"cursor\",a)}function k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||y()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,y(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),c?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e){var r=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);r.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e){var r=t.selectAll(\".background\").data(o);r.enter().append(\"rect\").classed(\"background\",!0).call(d).call(m).style(\"pointer-events\",\"auto\").attr(\"transform\",l(0,n.verticalPadding)),r.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var i=t.selectAll(\".highlight-shadow\").data(o);i.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),i.attr(\"y1\",(function(t){return t.height})).call(x);var a=t.selectAll(\".highlight\").data(o);a.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",(function(t){return t.height})).call(x)}(r,e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":503,\"../../lib/gup\":500,\"./constants\":893,\"@plotly/d3\":58}],890:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},{\"./attributes\":888,\"./base_plot\":891,\"./calc\":892,\"./defaults\":894}],891:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/get_data\").getModuleCalcData,a=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.style.width,height:this.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":480,\"../../plots/get_data\":593,\"./plot\":900,\"@plotly/d3\":58}],892:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,i=t(\"../../components/colorscale\"),a=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;rf&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the moment\"),d.splice(f));var m=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var l=s(\"line.color\",r);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(m)&&m.length||(e.visible=!1),h(e,m,\"values\",g);var v={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,\"labelfont\",v),n.coerceFont(u,\"tickfont\",v),n.coerceFont(u,\"rangefont\",v),u(\"labelangle\"),u(\"labelside\")}},{\"../../components/colorscale/defaults\":376,\"../../components/colorscale/helpers\":377,\"../../lib\":503,\"../../plots/array_container_defaults\":549,\"../../plots/cartesian/axes\":554,\"../../plots/domain\":584,\"./attributes\":888,\"./axisbrush\":889,\"./constants\":893,\"./merge_length\":898}],895:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":503}],896:[function(t,e,r){\"use strict\";var n=t(\"./base_index\");n.plot=t(\"./plot\"),e.exports=n},{\"./base_index\":890,\"./plot\":900}],897:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),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=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={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 c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete 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r=[],n=0;n1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var 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);(y(_)||\"\"===_)&&(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}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d(\"pie\",r),_(e,t),O(e,a);var h=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var h=n.select(this),d=e[0],m=d.trace;!function(t){var 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k=\"M\"+(o+i.px0[0])+\",\"+(c+i.px0[1])+C(i.px0,i.pxmid,!0,1)+C(i.pxmid,i.px0,!0,1)+\"Z\";T?h.attr(\"d\",\"M\"+(o+T*i.px0[0])+\",\"+(c+T*i.px0[1])+C(i.px0,i.pxmid,!1,T)+C(i.pxmid,i.px0,!1,T)+\"Z\"+k):h.attr(\"d\",k)}else{var A=C(i.px0,i.px1,!0,1);if(T){var M=1-T;h.attr(\"d\",\"M\"+(o+T*i.px1[0])+\",\"+(c+T*i.px1[1])+C(i.px1,i.px0,!1,T)+\"l\"+M*i.px0[0]+\",\"+M*i.px0[1]+A+\"Z\")}else h.attr(\"d\",\"M\"+o+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+A+\"Z\")}D(t,i,d);var S=g.castOption(m.textposition,i.pts),E=u.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==S?[0]:[]);E.enter().append(\"g\").classed(\"slicetext\",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===S?function(t,e,r){var 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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}}(d):C(d,a),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),_&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function m(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var 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n=t(\"../../components/color\"),i=t(\"./helpers\").castOption;e.exports=function(t,e,r){var a=r.marker.line,o=i(a.color,e.pts)||n.defaultLine,s=i(a.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":366,\"./helpers\":906}],913:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":927}],914:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_pointcloud2d,i=t(\"../../lib/str2rgbarray\"),a=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;ld[2]&&(d[2]=o),sd[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;ld[2]&&(d[2]=o),sd[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var m=i(t.marker.color),g=i(t.marker.border.color),v=t.opacity*t.marker.opacity;m[3]*=v,this.pointcloudOptions.color=m;var y=t.marker.blend;if(null===y){y=c.length<100||u.length<100}this.pointcloudOptions.blend=y,g[3]*=v,this.pointcloudOptions.borderColor=g;var x=t.marker.sizemin,b=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=b,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var _=this.scene.xaxis,w=this.scene.yaxis,T=b/2||.5;t._extremes[_._id]=a(_,[d[0],d[2]],{ppad:T}),t._extremes[w._id]=a(w,[d[1],d[3]],{ppad:T})},l.dispose=function(){this.pointcloud.dispose()},e.exports=function(t,e){var r=new s(t,e.uid);return r.update(e),r}},{\"../../../stackgl_modules\":1124,\"../../lib/str2rgbarray\":528,\"../../plots/cartesian/autorange\":553,\"../scatter/get_trace_color\":937}],915:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\");e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a(\"text\"),a(\"marker.color\",r),a(\"marker.opacity\"),a(\"marker.blend\"),a(\"marker.sizemin\"),a(\"marker.sizemax\"),a(\"marker.border.color\",r),a(\"marker.border.arearatio\"),e._length=null}},{\"../../lib\":503,\"./attributes\":913}],916:[function(t,e,r){\"use strict\";[\"*pointcloud* trace is deprecated!\",\"Please consider switching to the *scattergl* trace type.\"].join(\" \");e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"../scatter3d/calc\"),plot:t(\"./convert\"),moduleType:\"trace\",name:\"pointcloud\",basePlotModule:t(\"../../plots/gl2d\"),categories:[\"gl\",\"gl2d\",\"showLegend\"],meta:{}}},{\"../../plots/gl2d\":596,\"../scatter3d/calc\":956,\"./attributes\":913,\"./convert\":914,\"./defaults\":915}],917:[function(t,e,r){\"use strict\";var n=t(\"../../plots/font_attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/color/attributes\"),o=t(\"../../components/fx/attributes\"),s=t(\"../../plots/domain\").attributes,l=t(\"../../plots/template_attributes\").hovertemplateAttrs,c=t(\"../../components/colorscale/attributes\"),u=t(\"../../plot_api/plot_template\").templatedArray,f=t(\"../../plots/cartesian/axis_format_attributes\").descriptionOnlyNumbers,h=t(\"../../lib/extend\").extendFlat,p=t(\"../../plot_api/edit_types\").overrideAll;(e.exports=p({hoverinfo:h({},i.hoverinfo,{flags:[],arrayOk:!1}),hoverlabel:o.hoverlabel,domain:s({name:\"sankey\",trace:!0}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\"},valueformat:{valType:\"string\",dflt:\".3s\",description:f(\"value\")},valuesuffix:{valType:\"string\",dflt:\"\"},arrangement:{valType:\"enumerated\",values:[\"snap\",\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"snap\"},textfont:n({}),customdata:void 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n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/template_attributes\").texttemplateAttrs,s=t(\"../../components/colorscale/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=n.marker,u=n.line,f=c.line;e.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:u.color,width:u.width,dash:u.dash,shape:l({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:c.symbol,opacity:c.opacity,maxdisplayed:c.maxdisplayed,size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,line:l({width:f.width,editType:\"calc\"},s(\"marker.line\")),gradient:c.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()}},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/template_attributes\":633,\"../scatter/attributes\":927}],962:[function(t,e,r){\"use 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s,l,c,u=r[0][0].carpet,f={xaxis:i.getFromId(t,u.xaxis||\"x\"),yaxis:i.getFromId(t,u.yaxis||\"y\"),plot:e.plot};for(n(t,f,r,o),s=0;s\")}(c,m,t,l[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}}},{\"../../components/fx\":406,\"../../constants/numerical\":479,\"../../lib\":503,\"../scatter/get_trace_color\":937,\"./attributes\":969}],975:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),calcGeoJSON:t(\"./plot\").calcGeoJSON,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\"),eventData:t(\"./event_data\"),selectPoints:t(\"./select\"),moduleType:\"trace\",name:\"scattergeo\",basePlotModule:t(\"../../plots/geo\"),categories:[\"geo\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}},{\"../../plots/geo\":589,\"../scatter/marker_colorbar\":945,\"../scatter/style\":951,\"./attributes\":969,\"./calc\":970,\"./defaults\":971,\"./event_data\":972,\"./format_labels\":973,\"./hover\":974,\"./plot\":976,\"./select\":977,\"./style\":978}],976:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=t(\"../../lib/topojson_utils\").getTopojsonFeatures,o=t(\"../../lib/geojson_utils\"),s=t(\"../../lib/geo_location_utils\"),l=t(\"../../plots/cartesian/autorange\").findExtremes,c=t(\"../../constants/numerical\").BADNUM,u=t(\"../scatter/calc\").calcMarkerSize,f=t(\"../scatter/subtypes\"),h=t(\"./style\");e.exports={calcGeoJSON:function(t,e){var r,n,i=t[0].trace,o=e[i.geo],f=o._subplot,h=i._length;if(Array.isArray(i.locations)){var p=i.locationmode,d=\"geojson-id\"===p?s.extractTraceFeature(t):a(i,f.topojson);for(r=0;r=g,w=2*b,T={},k=l.makeCalcdata(e,\"x\"),A=y.makeCalcdata(e,\"y\"),M=s(e,l,\"x\",k),S=s(e,y,\"y\",A),E=M.vals,L=S.vals;e._x=E,e._y=L,e.xperiodalignment&&(e._origX=k,e._xStarts=M.starts,e._xEnds=M.ends),e.yperiodalignment&&(e._origY=A,e._yStarts=S.starts,e._yEnds=S.ends);var C=new Array(w),P=new Array(b);for(r=0;r1&&i.extendFlat(s.line,p.linePositions(t,r,n));if(s.errorX||s.errorY){var 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strict\";e.exports={TOO_MANY_POINTS:1e5,SYMBOL_SDF_SIZE:200,SYMBOL_SIZE:20,SYMBOL_STROKE:1,DOT_RE:/-dot/,OPEN_RE:/-open/,DASHES:{solid:[1],dot:[1,1],dash:[4,1],longdash:[8,1],dashdot:[4,1,1,1],longdashdot:[8,1,1,1]}}},{}],983:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"svg-path-sdf\"),a=t(\"color-normalize\"),o=t(\"../../registry\"),s=t(\"../../lib\"),l=t(\"../../components/drawing\"),c=t(\"../../plots/cartesian/axis_ids\"),u=t(\"../../lib/gl_format_color\").formatColor,f=t(\"../scatter/subtypes\"),h=t(\"../scatter/make_bubble_size_func\"),p=t(\"./helpers\"),d=t(\"./constants\"),m=t(\"../../constants/interactions\").DESELECTDIM,g={start:1,left:1,end:-1,right:-1,middle:0,center:0,bottom:1,top:-1},v=t(\"../../components/fx/helpers\").appendArrayPointValue;function y(t,e){var r,i=t._fullLayout,a=e._length,o=e.textfont,l=e.textposition,c=Array.isArray(l)?l:[l],u=o.color,f=o.size,h=o.family,p={},d=t._context.plotGlPixelRatio,m=e.texttemplate;if(m){p.text=[];var g=i._d3locale,y=Array.isArray(m),x=y?Math.min(m.length,a):a,b=y?function(t){return m[t]}:function(){return m};for(r=0;rd.TOO_MANY_POINTS||f.hasMarkers(e)?\"rect\":\"round\";if(c&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i1?l[i]:l[0]:l,d=Array.isArray(c)?c.length>1?c[i]:c[0]:c,m=g[p],v=g[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[i]=[m*y/h,x/h]}}return o}}},{\"../../components/drawing\":388,\"../../components/fx/helpers\":402,\"../../constants/interactions\":478,\"../../lib\":503,\"../../lib/gl_format_color\":499,\"../../plots/cartesian/axis_ids\":558,\"../../registry\":638,\"../scatter/make_bubble_size_func\":944,\"../scatter/subtypes\":952,\"./constants\":982,\"./helpers\":987,\"color-normalize\":89,\"fast-isnumeric\":190,\"svg-path-sdf\":310}],984:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/period_defaults\"),f=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),p=t(\"../scatter/fillcolor_defaults\"),d=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,m){function g(r,i){return n.coerce(t,e,o,r,i)}var v=!!t.marker&&a.isOpenSymbol(t.marker.symbol),y=l.isBubble(t),x=c(t,e,m,g);if(x){u(t,e,m,g),g(\"xhoverformat\"),g(\"yhoverformat\");var b=x100},r.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},{\"./constants\":982}],988:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var 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v=s.c2p(h.x,!0),y=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:v-x,x1:v+x,xLabelVal:k?k[f]:h.x,y0:y-x,y1:y+x,yLabelVal:A?A[f]:h.y,cd:T,distance:c,spikeDistance:u,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}e.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,f,h,p,d,m=t.cd,g=m[0].t,v=m[0].trace,y=t.xa,x=t.ya,b=g.x,_=g.y,w=y.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=y.p2c(w-k),M=y.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=!!v.xperiodalignment,P=!!v.yperiodalignment;for(u=0;u=Math.min(I,O)&&w<=Math.max(I,O)?0:1/0}if(f=Math.min(z,D)&&T<=Math.max(z,D)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[u]}}}else for(u=i.length-1;u>-1;u--)l=b[a=i[u]],c=_[a],f=y.c2p(l)-w,h=x.c2p(c)-T,(p=Math.sqrt(f*f+h*h))y.glText.length){var T=_-y.glText.length;for(m=0;mr&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),y.line2d.update(y.lineOptions)),y.error2d){var 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strict\";e.exports={moduleType:\"trace\",name:\"sunburst\",basePlotModule:t(\"./base_plot\"),categories:[],animatable:!0,attributes:t(\"./attributes\"),layoutAttributes:t(\"./layout_attributes\"),supplyDefaults:t(\"./defaults\"),supplyLayoutDefaults:t(\"./layout_defaults\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\").style,colorbar:t(\"../scatter/marker_colorbar\"),meta:{}}},{\"../scatter/marker_colorbar\":945,\"./attributes\":1049,\"./base_plot\":1050,\"./calc\":1051,\"./defaults\":1053,\"./layout_attributes\":1057,\"./layout_defaults\":1058,\"./plot\":1059,\"./style\":1060}],1057:[function(t,e,r){\"use strict\";e.exports={sunburstcolorway:{valType:\"colorlist\",editType:\"calc\"},extendsunburstcolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],1058:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"sunburstcolorway\",e.colorway),r(\"extendsunburstcolors\")}},{\"../../lib\":503,\"./layout_attributes\":1057}],1059:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"d3-hierarchy\"),a=t(\"d3-interpolate\").interpolate,o=t(\"../../components/drawing\"),s=t(\"../../lib\"),l=t(\"../../lib/svg_text_utils\"),c=t(\"../bar/uniform_text\"),u=c.recordMinTextSize,f=c.clearMinTextSize,h=t(\"../pie/plot\"),p=t(\"../pie/helpers\").getRotationAngle,d=h.computeTransform,m=h.transformInsideText,g=t(\"./style\").styleOne,v=t(\"../bar/style\").resizeText,y=t(\"./fx\"),x=t(\"./constants\"),b=t(\"./helpers\");function _(t,e,c,f){var h=t._fullLayout,v=!h.uniformtext.mode&&b.hasTransition(f),_=n.select(c).selectAll(\"g.slice\"),T=e[0],k=T.trace,A=T.hierarchy,M=b.findEntryWithLevel(A,k.level),S=b.getMaxDepth(k),E=h._size,L=k.domain,C=E.w*(L.x[1]-L.x[0]),P=E.h*(L.y[1]-L.y[0]),I=.5*Math.min(C,P),O=T.cx=E.l+E.w*(L.x[1]+L.x[0])/2,z=T.cy=E.t+E.h*(1-L.y[0])-P/2;if(!M)return 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e,r=b.getPtId(t),n=R[r],i=R[b.getPtId(M)];if(i){var o=(t.x1>i.x1?2*Math.PI:0)+U;e=t.rpx1X?2*Math.PI:0)+U;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,K(t));else e={rpx0:0,rpx1:0};else e={x0:U,x1:U};return a(e,n)}(t);return function(t){return G(e(t))}})):f.attr(\"d\",G),c.call(y,M,t,e,{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,k);var p=s.ensureSingle(c,\"g\",\"slicetext\"),_=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),w=s.ensureUniformFontSize(t,b.determineTextFont(k,i,h.font));_.text(r.formatSliceLabel(i,M,k,e,h)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(o.font,w).call(l.convertToTspans,t);var A=o.bBox(_.node());i.transform=m(A,i,T),i.transform.targetX=Y(i),i.transform.targetY=W(i);var S=function(t,e){var r=t.transform;return d(r,e),r.fontSize=w.size,u(k.type,r,h),s.getTextTransform(r)};v?_.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=R[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}},D)if(t.parent)if(X){var i=t.x1>X?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,K(t));else e.x0=e.x1=U;else e.x0=e.x1=U;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),c=a(e.x0,t.x0),f=a(e.x1,t.x1),p=a(e.transform.scale,n.scale),d=a(e.transform.rotate,n.rotate),m=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,g=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=c(t),i=f(t),a=function(t){return g(Math.pow(t,m))}(t),s={pxmid:q(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return u(k.type,n,h),{transform:{targetX:Y(s),targetY:W(s),scale:p(t),rotate:d(t),rCenter:a}}}}(t);return function(t){return S(e(t),A)}})):_.attr(\"transform\",S(i,A))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}r.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,c=!r,u=!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(),u)?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){o&&o()})).each(\"interrupt\",(function(){o&&o()})).each((function(){l.selectAll(\"g.trace\").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&v(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\"));c&&a.exit().remove()},r.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&\"none\"!==o))return\"\";var l=i.separators,c=n[0],u=t.data.data,f=c.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var m,g=o.split(\"+\"),v=function(t){return-1!==g.indexOf(t)},y=[];if(v(\"label\")&&u.label&&y.push(u.label),u.hasOwnProperty(\"v\")&&v(\"value\")&&y.push(b.formatValue(u.v,l)),!h){v(\"current path\")&&y.push(b.getPath(t.data));var x=0;v(\"percent parent\")&&x++,v(\"percent entry\")&&x++,v(\"percent root\")&&x++;var _=x>1;if(x){var w,T=function(t){m=b.formatPercent(w,l),_&&(m+=\" of \"+t),y.push(m)};v(\"percent parent\")&&!h&&(w=d/b.getValue(p),T(\"parent\")),v(\"percent entry\")&&(w=d/b.getValue(e),T(\"entry\")),v(\"percent root\")&&(w=d/b.getValue(f),T(\"root\"))}}return v(\"text\")&&(m=s.castOption(r,u.i,\"text\"),s.isValidTextValue(m)&&y.push(m)),y.join(\"
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M=s.castOption(r,u.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,u.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},{\"../../components/drawing\":388,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../bar/style\":662,\"../bar/uniform_text\":664,\"../pie/helpers\":906,\"../pie/plot\":910,\"./constants\":1052,\"./fx\":1054,\"./helpers\":1055,\"./style\":1060,\"@plotly/d3\":58,\"d3-hierarchy\":115,\"d3-interpolate\":116}],1060:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/color\"),a=t(\"../../lib\"),o=t(\"../bar/uniform_text\").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,c=a.castOption(r,s,\"marker.line.width\")||0;t.style(\"stroke-width\",c).call(i.fill,n.color).call(i.stroke,l).style(\"opacity\",o?r.leaf.opacity:null)}e.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}},{\"../../components/color\":366,\"../../lib\":503,\"../bar/uniform_text\":664,\"@plotly/d3\":58}],1061:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;function 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f=e.exports=c(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or 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0},{\"../../components/color\":366,\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plots/attributes\":550,\"../../plots/cartesian/axis_format_attributes\":557,\"../../plots/template_attributes\":633}],1062:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374}],1063:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_surface3d,i=t(\"../../../stackgl_modules\").ndarray,a=t(\"../../../stackgl_modules\").ndarray_linear_interpolate.d2,o=t(\"../heatmap/interp2d\"),s=t(\"../heatmap/find_empties\"),l=t(\"../../lib\").isArrayOrTypedArray,c=t(\"../../lib/gl_format_color\").parseColorScale,u=t(\"../../lib/str2rgbarray\"),f=t(\"../../components/colorscale\").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++){var o=t.dataCoordinate[a];null!=o&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[i]&&void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var 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n=t(\"../../lib/extend\").extendFlat;r.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:\"header\",type:\"header\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:\"cells1\",type:\"cells\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:\"cells2\",type:\"cells\",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},r.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0,n=e?r+e.rows.length:0;return[r,n]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+(\"string\"==typeof r&&r.match(/[<$&> 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f,h,p=u?\"\":T(t.calcdata.cells.prefix,e,r)||\"\",d=u?\"\":T(t.calcdata.cells.suffix,e,r)||\"\",m=u?null:T(t.calcdata.cells.format,e,r)||null,g=p+(m?a(m)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!u&&(f=w(g)),t.cellHeightMayIncrease=s||u||t.mayHaveMarkup||(void 0===f?w(g):f),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var v=(\" \"===n.wrapSplitCharacter?g.replace(/i&&n.push(a),i+=l}return n}(i,l,s);1===c.length&&(c[0]===i.length-1?c.unshift(c[0]-1):c.push(c[0]+1)),c[0]%2&&c.reverse(),e.each((function(t,e){t.page=c[e],t.scrollY=l})),e.attr(\"transform\",(function(t){var e=D(t.rowBlocks,t.page)-t.scrollY;return u(0,e)})),t&&(C(t,r,e,c,n.prevPages,n,0),C(t,r,e,c,n.prevPages,n,1),x(r,t))}}function L(t,e,r,a){return function(o){var s=o.calcdata?o.calcdata:o,l=e.filter((function(t){return s.key===t.key})),c=r||s.scrollbarState.dragMultiplier,u=s.scrollY;s.scrollY=void 0===a?s.scrollY+c*i.event.dy:a;var 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s=i.select(e.parentNode),l=B(o),c=o.key-l.firstRowIndex,f=l.rows[c].rowHeight,h=o.cellHeightMayIncrease?e.parentNode.getBoundingClientRect().height+2*n.cellPad:f,p=Math.max(h,f);p-l.rows[c].rowHeight&&(l.rows[c].rowHeight=p,t.selectAll(\".\"+n.cn.columnCell).call(z),E(null,t.filter(A),0),x(r,a,!0)),s.attr(\"transform\",(function(){var t=this.parentNode.getBoundingClientRect(),e=i.select(this.parentNode).select(\".\"+n.cn.cellRect).node().getBoundingClientRect(),r=this.transform.baseVal.consolidate(),a=e.top-t.top+(r?r.matrix.f:n.cellPad);return u(O(o,i.select(this.parentNode).select(\".\"+n.cn.cellTextHolder).node().getBoundingClientRect().width),a)})),o.settledY=!0}}}function O(t,e){switch(t.align){case\"left\":return n.cellPad;case\"right\":return t.column.columnWidth-(e||0)-n.cellPad;case\"center\":return(t.column.columnWidth-(e||0))/2;default:return n.cellPad}}function z(t){t.attr(\"transform\",(function(t){var e=t.rowBlocks[0].auxiliaryBlocks.reduce((function(t,e){return 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v=h(\"pathbar.visible\");s(t,e,c,h,\"auto\",{hasPathbar:v,moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),h(\"textposition\");var y=-1!==e.textposition.indexOf(\"bottom\");h(\"marker.line.width\")&&h(\"marker.line.color\",c.paper_bgcolor);var x=h(\"marker.colors\");(e._hasColorscale=u(t,\"marker\",\"colors\")||(t.marker||{}).coloraxis)?f(t,e,c,h,{prefix:\"marker.\",cLetter:\"c\"}):h(\"marker.depthfade\",!(x||[]).length);var b=2*e.textfont.size;h(\"marker.pad.t\",y?b/4:b),h(\"marker.pad.l\",b/4),h(\"marker.pad.r\",b/4),h(\"marker.pad.b\",y?b:b/4),e._hovered={marker:{line:{width:2,color:a.contrast(c.paper_bgcolor)}}},v&&(h(\"pathbar.thickness\",e.pathbar.textfont.size+2*l),h(\"pathbar.side\"),h(\"pathbar.edgeshape\")),h(\"sort\"),h(\"root.color\"),o(e,c,h),e._length=null}else 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a=0,o=0;o>26,this.words[o]=67108863&e;for(;0!==a&&o>26,this.words[o]=67108863&e;if(0===a&&o>>13,p=0|o[1],d=8191&p,m=p>>>13,g=0|o[2],v=8191&g,y=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],I=8191&P,O=P>>>13,z=0|o[8],D=8191&z,R=z>>>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,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ft=8191&ut,ht=ut>>>13,pt=0|s[9],dt=8191&pt,mt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(c+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;c=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(m,U)|0,a=Math.imul(m,V);var vt=(c+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;c=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,q)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(m,W)|0,a=a+Math.imul(m,X)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,X)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(m,$)|0,a=a+Math.imul(m,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(O,U)|0,a=Math.imul(O,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(I,q)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(O,q)|0,a=a+Math.imul(O,G)|0,n=n+Math.imul(L,W)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ct)|0;var kt=(c+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;c=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,q)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,X)|0)+Math.imul(O,W)|0,a=a+Math.imul(O,X)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var At=(c+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,mt)|0)+Math.imul(h,dt)|0))<<13)|0;c=((a=a+Math.imul(h,mt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(I,J)|0,i=(i=i+Math.imul(I,K)|0)+Math.imul(O,J)|0,a=a+Math.imul(O,K)|0,n=n+Math.imul(L,$)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ft)|0,i=(i=i+Math.imul(v,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,mt)|0)+Math.imul(m,dt)|0))<<13)|0;c=((a=a+Math.imul(m,mt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,X))+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(O,$)|0,a=a+Math.imul(O,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,mt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,mt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,i=(i=i+Math.imul(I,nt)|0)+Math.imul(O,rt)|0,a=a+Math.imul(O,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,mt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,mt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,tt))+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(I,at)|0,i=(i=i+Math.imul(I,ot)|0)+Math.imul(O,at)|0,a=a+Math.imul(O,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ct)|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=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,mt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,mt)|0)+(i>>>13)|0)+(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(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,i=(i=i+Math.imul(I,ct)|0)+Math.imul(O,lt)|0,a=a+Math.imul(O,ct)|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=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,mt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,mt)|0)+(i>>>13)|0)+(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(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(I,ft)|0,i=(i=i+Math.imul(I,ht)|0)+Math.imul(O,ft)|0,a=a+Math.imul(O,ht)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,mt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((a=a+Math.imul(C,mt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(i=(i=i+Math.imul(I,mt)|0)+Math.imul(O,dt)|0))<<13)|0;c=((a=a+Math.imul(O,mt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var Ot=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,mt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,mt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863;var zt=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,mt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,mt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=gt,l[1]=vt,l[2]=yt,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]=It,l[17]=Ot,l[18]=zt,0!==c&&(l[19]=c,r.length++),r};function m(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?d(this,t,e):r<63?p(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):m(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o>>=1)i++;return 1<>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<o)for(this.length-=o,c=0;c=0&&(0!==u||c>=i);c--){var f=0|this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c=0;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),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=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(u),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,m=1;0==(r.words[0]&m)&&d<26;++d,m<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(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(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:it.length)return 1;if(this.length=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){ni&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var v={k256:null,p224:null,p192:null,p25519:null};function y(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(){y.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){y.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){y.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){y.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)}y.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},y.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},y.prototype.split=function(t,e){t.iushrn(this.n,0,e)},y.prototype.imulK=function(t){return t.imul(this.k)},i(x,y),x.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(v[t])return v[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 v[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var f=this.pow(u,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var m=p,g=0;0!==m.cmp(s);g++)m=m.redSqr();n(g=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var f=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4===++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var 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t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),c(\"tickColor\");var m=l(\"labels\");l(\"labelFont\")&&(m=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(m||u)&&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&&u&&(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,c=n[e],u=0;u<3;++u)if(e!==u){var f=a,h=s,p=o,d=l;c&1<0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var m=[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 v=[0,0,0],y=[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,u=o(r,n,i,a,s),f=u.cubeEdges,h=u.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=m;for(A=0;A<3;++A)this.backgroundEnable[A]?E[A]=h[A]:E[A]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(A=0;A<3;++A){var L=[0,0,0];h[A]>0?L[A]=a[1][A]:L[A]=a[0][A];for(var C=0;C<2;++C){var P=(A+1+C)%3,I=(A+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(A+1+C)%3,I=(A+1+(1^C))%3;this.zeroEnable[I]&&Math.min(a[0][I],a[1][I])<=0&&Math.max(a[0][I],a[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,L,this.zeroLineColor[I],this.zeroLineWidth[I]*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 O=c(v,M[A].primalMinor),z=c(y,M[A].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=k/r[5*C];O[C]*=D[C]*R,z[C]*=D[C]*R}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,O,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[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(A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=c(x,M[A].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[A]&&(H[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,F=1,\"auto\"===(S=[this.tickAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(A,U,V);for(C=0;C<3;++C)H[C]+=k*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,B,S)}if(this.labelEnable[A]){F=0,B=[0,0,0],this.labels[A].length>4&&(N(A),F=1),\"auto\"===(S=[this.labelAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(C=0;C<3;++C)H[C]+=k*U[C]*this.labelPad[C]/r[5*C];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],B,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}},{\"./lib/background.js\":71,\"./lib/cube.js\":72,\"./lib/lines.js\":73,\"./lib/text.js\":75,\"./lib/ticks.js\":76}],71:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(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[c]=d;for(var m=-1;m<=1;m+=2)f[u]=m,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=c;c=u,u=g}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").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()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],72:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],h(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]E&&(w|=1<E&&(w|=1<c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<c[B][0]&&(B=N)}var j=m;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(A=0;A<3;++A)V[A]=H&1< HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n b - PI :\\n b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n // if ratio is set to 0.5 then it is 50%, 50%.\\n // when using a higher ratio e.g. 0.75 the result would\\n // likely be more horizontal than vertical.\\n\\n float b = positive_angle(a);\\n\\n return\\n (b < ( ratio) * HALF_PI) ? 0.0 :\\n (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n 0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n float b = positive_angle(a);\\n float div = TWO_PI / float(n);\\n float c = roundTo(b, div);\\n return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n return\\n (option > 2) ? look_round_n_directions(rawAngle + delta, option) : // option 3-n: round to n directions\\n (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n (option == 1) ? rawAngle + delta : // use free angle, and flip to align with one direction of the axis\\n (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n (option ==-1) ? 0.0 : // useful for backward compatibility, all texts remains horizontal\\n rawAngle; // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n (axis.y == 0.0) &&\\n (axis.z == 0.0);\\n\\nvoid main() {\\n //Compute world offset\\n float axisDistance = position.z;\\n vec3 dataPosition = axisDistance * axis + offset;\\n\\n float beta = angle; // i.e. user defined attributes for each tick\\n\\n float axisAngle;\\n float clipAngle;\\n float flip;\\n\\n if (enableAlign) {\\n axisAngle = (isAxisTitle) ? HALF_PI :\\n computeViewAngle(dataPosition, dataPosition + axis);\\n clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n beta += applyAlignOption(clipAngle, flip * PI);\\n }\\n\\n //Compute plane offset\\n vec2 planeCoord = position.xy * pixelScale;\\n\\n mat2 planeXform = scale * mat2(\\n cos(beta), sin(beta),\\n -sin(beta), cos(beta)\\n );\\n\\n vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n //Compute clip position\\n vec3 clipPosition = project(dataPosition);\\n\\n //Apply text offset in clip coordinates\\n clipPosition += vec3(viewOffset, 0.0);\\n\\n //Done\\n gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n gl_FragColor = color;\\n}\"]);r.text=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n vec3 realNormal = signAxis * normal;\\n\\n if(dot(realNormal, enable) > 0.0) {\\n vec3 minRange = min(bounds[0], bounds[1]);\\n vec3 maxRange = max(bounds[0], bounds[1]);\\n vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n } else {\\n gl_Position = vec4(0,0,0,0);\\n }\\n\\n colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n gl_FragColor = colorChannel.x * colors[0] +\\n colorChannel.y * colors[1] +\\n colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return i(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":132,glslify:231}],75:[function(t,e,r){(function(r){(function(){\"use strict\";e.exports=function(t,e,r,a,s,l){var u=n(t),f=i(t,[{buffer:u,size:3}]),h=o(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,a,s,l),p};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__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}var u=c.prototype,f=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(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=u.positions,p=u.cells,d=0,m=p.length;d=0;--v){var y=h[g[v]];o.push(f*y[0],-f*y[1],t)}}for(var c=[0,0,0],u=[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]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(o.length/3|0)-f[d],c[d]=o.length/3|0;for(var m=0;m=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),i){for(var f=\"\"+c;f.length=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;nr)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.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}},{ndarray:259,\"ndarray-ops\":254,\"typedarray-pool\":308}],79:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,f=1/0,h=-1/0,p=null,d=null,m=[],g=1/0,v=!1,y=0;yo&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),v=!1):v=!0}v||(p=x,d=b),m.push(b)}var w=[s,c,f],T=[l,u,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;y=0;for(var M=0;y=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,m=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],m=+t.vertexIntensityBounds[1];else for(var g=0;g0){var m=this.triShader;m.bind(),m.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||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()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=m(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var f=i(t),p=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,u,s,l,f,p,y,g,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],81:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n // Return up-vector for only-z vector.\\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\\n // Assign z = 0, x = -b, y = a:\\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n return normalize(vec3(-v.y, v.x, 0.0));\\n } else {\\n return normalize(vec3(0.0, v.z, -v.y));\\n }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n// segment + 0 top vertex\\n// segment + 1 perimeter vertex a+1\\n// segment + 2 perimeter vertex a\\n// segment + 3 center base vertex\\n// segment + 4 perimeter vertex a\\n// segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n const float segmentCount = 8.0;\\n\\n float index = rawIndex - floor(rawIndex /\\n (segmentCount * 6.0)) *\\n (segmentCount * 6.0);\\n\\n float segment = floor(0.001 + index/6.0);\\n float segmentIndex = index - (segment*6.0);\\n\\n normal = -normalize(d);\\n\\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n return mix(vec3(0.0), -d, coneOffset);\\n }\\n\\n float nextAngle = (\\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\\n (segmentIndex > 4.99 && segmentIndex < 5.01)\\n ) ? 1.0 : 0.0;\\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n vec3 v2 = v1 - d;\\n\\n vec3 u = getOrthogonalVector(d);\\n vec3 v = normalize(cross(u, d));\\n\\n vec3 x = u * cos(angle) * length(d)*0.25;\\n vec3 y = v * sin(angle) * length(d)*0.25;\\n vec3 v3 = v2 + x + y;\\n if (segmentIndex < 3.0) {\\n vec3 tx = u * sin(angle);\\n vec3 ty = v * -cos(angle);\\n vec3 tangent = tx + ty;\\n normal = normalize(cross(v3 - v1, tangent));\\n }\\n\\n if (segmentIndex == 0.0) {\\n return mix(d, vec3(0.0), coneOffset);\\n }\\n return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n // Scale the vector magnitude to stay constant with\\n // model & view changes.\\n vec3 normal;\\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n //Lighting geometry parameters\\n vec4 cameraCoordinate = view * conePosition;\\n cameraCoordinate.xyz /= cameraCoordinate.w;\\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n // vec4 m_position = model * vec4(conePosition, 1.0);\\n vec4 t_position = view * conePosition;\\n gl_Position = projection * t_position;\\n\\n f_color = color;\\n f_data = conePosition.xyz;\\n f_position = position.xyz;\\n f_uv = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n float NdotH = max(x, 0.0001);\\n float cos2Alpha = NdotH * NdotH;\\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n float roughness2 = roughness * roughness;\\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n vec3 lightDirection,\\n vec3 viewDirection,\\n vec3 surfaceNormal,\\n float roughness,\\n float fresnel) {\\n\\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n //Half angle vector\\n vec3 H = normalize(lightDirection + viewDirection);\\n\\n //Geometric term\\n float NdotH = max(dot(surfaceNormal, H), 0.0);\\n float VdotH = max(dot(viewDirection, H), 0.000001);\\n float LdotH = max(dot(lightDirection, H), 0.000001);\\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n float G = min(1.0, min(G1, G2));\\n \\n //Distribution term\\n float D = beckmannDistribution(NdotH, roughness);\\n\\n //Fresnel term\\n float F = pow(1.0 - VdotN, fresnel);\\n\\n //Multiply terms and done\\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n vec3 N = normalize(f_normal);\\n vec3 L = normalize(f_lightDirection);\\n vec3 V = normalize(f_eyeDirection);\\n\\n if(gl_FrontFacing) {\\n N = -N;\\n }\\n\\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\\n\\n gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n // Return up-vector for only-z vector.\\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\\n // Assign z = 0, x = -b, y = a:\\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n return normalize(vec3(-v.y, v.x, 0.0));\\n } else {\\n return normalize(vec3(0.0, v.z, -v.y));\\n }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n// segment + 0 top vertex\\n// segment + 1 perimeter vertex a+1\\n// segment + 2 perimeter vertex a\\n// segment + 3 center base vertex\\n// segment + 4 perimeter vertex a\\n// segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n const float segmentCount = 8.0;\\n\\n float index = rawIndex - floor(rawIndex /\\n (segmentCount * 6.0)) *\\n (segmentCount * 6.0);\\n\\n float segment = floor(0.001 + index/6.0);\\n float segmentIndex = index - (segment*6.0);\\n\\n normal = -normalize(d);\\n\\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n return mix(vec3(0.0), -d, coneOffset);\\n }\\n\\n float nextAngle = (\\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\\n (segmentIndex > 4.99 && segmentIndex < 5.01)\\n ) ? 1.0 : 0.0;\\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n vec3 v2 = v1 - d;\\n\\n vec3 u = getOrthogonalVector(d);\\n vec3 v = normalize(cross(u, d));\\n\\n vec3 x = u * cos(angle) * length(d)*0.25;\\n vec3 y = v * sin(angle) * length(d)*0.25;\\n vec3 v3 = v2 + x + y;\\n if (segmentIndex < 3.0) {\\n vec3 tx = u * sin(angle);\\n vec3 ty = v * -cos(angle);\\n vec3 tangent = tx + ty;\\n normal = normalize(cross(v3 - v1, tangent));\\n }\\n\\n if (segmentIndex == 0.0) {\\n return mix(d, vec3(0.0), coneOffset);\\n }\\n return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n vec3 normal;\\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n gl_Position = projection * view * conePosition;\\n f_id = id;\\n f_position = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:231}],82:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORM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n=t(\"./1.0/numbers\");e.exports=function(t){return n[t]}},{\"./1.0/numbers\":82}],84:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var c=new s(e,r,o,l);return c.update(t),c};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders/index\"),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function c(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*u,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=u[n],a=0;a0)(m=u.slice())[s]+=p[1][s],i.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,m[0],m[1],m[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,m),o+=2+f(i,m,d,s)}}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{\"./shaders/index\":85,\"gl-buffer\":78,\"gl-vao\":150}],85:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, offset;\\nattribute vec4 color;\\nuniform mat4 model, view, projection;\\nuniform float capSize;\\nvarying vec4 fragColor;\\nvarying vec3 fragPosition;\\n\\nvoid main() {\\n vec4 worldPosition = model * vec4(position, 1.0);\\n worldPosition = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n gl_Position = projection * view * worldPosition;\\n fragColor = color;\\n fragPosition = position;\\n}\"]),o=n([\"precision highp float;\\n#define GLSLIFY 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n=t(\"gl-texture2d\");e.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension(\"WEBGL_draw_buffers\");!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;au||r<0||r>u)throw new Error(\"gl-fbo: Parameters are too large for FBO\");var f=1;if(\"color\"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(f>1){if(!c)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(f>t.getParameter(c.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+f+\" draw buffers\")}}var h=t.UNSIGNED_BYTE,p=t.getExtension(\"OES_texture_float\");if(n.float&&f>0){if(!p)throw new Error(\"gl-fbo: Context does not support floating point textures\");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var m=!0;\"depth\"in n&&(m=!!n.depth);var g=!1;\"stencil\"in n&&(g=!!n.stencil);return new d(t,e,r,h,f,m,g,c)};var i,a,o,s,l=null;function c(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error(\"gl-fbo: Framebuffer unsupported\");case a:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):m&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){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);for(v=0;vi||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,f,p,d=t.colorLevels||[0],m=t.colorValues||[0,0,0,1],g=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],f=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,f=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(f-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float dashScale;\\nuniform float opacity;\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n if (\\n outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n fragColor.a * opacity == 0.\\n ) discard;\\n\\n float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n if(dashWeight < 0.5) {\\n discard;\\n }\\n gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX 1.70141184e38\\n#define FLOAT_MIN 1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n float av = abs(v);\\n\\n //Handle special cases\\n if(av < FLOAT_MIN) {\\n return vec4(0.0, 0.0, 0.0, 0.0);\\n } else if(v > FLOAT_MAX) {\\n return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n } else if(v < -FLOAT_MAX) {\\n return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n }\\n\\n vec4 c = vec4(0,0,0,0);\\n\\n //Compute exponent and mantissa\\n float e = floor(log2(av));\\n float m = av * pow(2.0, -e) - 1.0;\\n\\n //Unpack mantissa\\n c[1] = floor(128.0 * m);\\n m -= c[1] / 128.0;\\n c[2] = floor(32768.0 * m);\\n m -= c[2] / 32768.0;\\n c[3] = floor(8388608.0 * m);\\n\\n //Unpack exponent\\n float ebias = e + 127.0;\\n c[0] = floor(ebias / 2.0);\\n ebias -= c[0] * 2.0;\\n c[1] += floor(ebias) * 128.0;\\n\\n //Unpack sign bit\\n c[0] += 128.0 * step(0.0, -v);\\n\\n //Scale back to range\\n return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{\"gl-shader\":132,glslify:231}],91:[function(t,e,r){\"use strict\";e.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}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var m=new v(e,r,o,s,l,d);return m.update(t),m};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),f=u.createShader,h=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function m(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(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 y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:m(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:m(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,u=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],m=t.lineWidth||1,g=!1;t:for(e=1;e0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(v=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],y=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):v=y=p,3===v.length&&(v=[v[0],v[1],v[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0),x=Array.isArray(m)?m.length>e-1?m[e-1]:m.length>0?m[m.length-1]:[0,0,0,1]:m;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3]);u+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,v[0],v[1],v[2],v[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=u,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e1.0001)return null;v+=g[f]}if(Math.abs(v-1)>.001)return null;return[h,s(t,g),g]}},{barycentric:14,\"polytope-closest-point/lib/closest_point_2d.js\":270}],111:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n , view\\n , projection\\n , inverseModel;\\nuniform vec3 eyePosition\\n , lightPosition;\\n\\nvarying vec3 f_normal\\n , f_lightDirection\\n , f_eyeDirection\\n , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n gl_Position = project(position);\\n\\n //Lighting geometry parameters\\n vec4 cameraCoordinate = view * vec4(position , 1.0);\\n cameraCoordinate.xyz /= cameraCoordinate.w;\\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n f_color = color;\\n f_data = position;\\n f_uv = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n float NdotH = max(x, 0.0001);\\n float cos2Alpha = NdotH * NdotH;\\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n float roughness2 = roughness * roughness;\\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n vec3 lightDirection,\\n vec3 viewDirection,\\n vec3 surfaceNormal,\\n float roughness,\\n float fresnel) {\\n\\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n //Half angle vector\\n vec3 H = normalize(lightDirection + viewDirection);\\n\\n //Geometric term\\n float NdotH = max(dot(surfaceNormal, H), 0.0);\\n float VdotH = max(dot(viewDirection, H), 0.000001);\\n float LdotH = max(dot(lightDirection, H), 0.000001);\\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n float G = min(1.0, min(G1, G2));\\n \\n //Distribution term\\n float D = beckmannDistribution(NdotH, roughness);\\n\\n //Fresnel term\\n float F = pow(1.0 - VdotN, fresnel);\\n\\n //Multiply terms and done\\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n , fresnel\\n , kambient\\n , kdiffuse\\n , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n , f_lightDirection\\n , f_eyeDirection\\n , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (f_color.a == 0.0 ||\\n outOfRange(clipBounds[0], clipBounds[1], f_data)\\n ) discard;\\n\\n vec3 N = normalize(f_normal);\\n vec3 L = normalize(f_lightDirection);\\n vec3 V = normalize(f_eyeDirection);\\n\\n if(gl_FrontFacing) {\\n N = -N;\\n }\\n\\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\\n\\n gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n f_color = color;\\n f_data = position;\\n f_uv = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n } else {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n }\\n gl_PointSize = pointSize;\\n f_color = color;\\n f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n if(dot(pointR, pointR) > 0.25) {\\n discard;\\n }\\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n f_id = id;\\n f_position = position;\\n}\"]),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\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:231}],112:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),f=t(\"colormap\"),h=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),m=t(\"./lib/closest-point\"),g=d.meshShader,v=d.wireShader,y=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,c,u,f,h,p,d,m,g,v,y,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=v,this.edgeIds=m,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;rt&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,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,v.vertex,v.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,y.vertex,y.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;l0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;ai[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*m[t+2],ki[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t+2],r.uniforms.angle=v[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),m.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),m.bind=(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,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],f=a[o],m=a[o+2]-f,g=i[o],v=i[o+2]-g;p[o]=2*l/u*m/v,h[o]=2*(s-c)/u*m/v}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()}),m.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e=0){var m=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(m,e[1],m,e[3],p[d],h[d]):o.drawLine(e[0],m,e[2],m,p[d],h[d])}}for(d=0;d=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;rMath.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),i=t(\"3d-view\"),a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":7,\"has-passive-events\":232,\"mouse-change\":247,\"mouse-event-offset\":248,\"mouse-wheel\":250,\"right-now\":278}],120:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),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}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":132,glslify:231}],121:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),i=t(\"gl-axes3d\"),a=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),f=t(\"gl-mat4/perspective\"),h=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function m(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\"canvas\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;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}));if(!r)throw new Error(\"webgl not supported\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new m,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=[],I=!0,O=!0,z=new Array(16),D=new Array(16),R={view:null,projection:z,model:D,_ortho:!1},F=(O=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:A,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,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:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,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,O=!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)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.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*N.pixelRatio),a=0|Math.ceil(n*N.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\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n0&&0===C[e-1];)C.pop(),P.pop().dispose()}function H(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,O=!0)},N.add=function(t){N._stopped||(t.axes=A,E.push(t),L.push(-1),I=!0,O=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),I=!0,O=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",H),N.mouseListener.enabled=!1,!N.contextLost)){A.dispose(),S.dispose();for(var t=0;tx.distance)continue;for(var c=0;c 1.0) {\\n discard;\\n }\\n baseColor = mix(borderColor, color, step(radius, centerFraction));\\n gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n }\\n}\\n\"]),r.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\"]),r.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\"])},{glslify:231}],123:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"typedarray-pool\"),o=t(\"./lib/shader\");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}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),f=new s(t,a,l,c,u);return f.update(e),t.addObject(f),f};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e>>1;for(r=0;r=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var 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}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":122,\"gl-buffer\":78,\"gl-shader\":132,\"typedarray-pool\":308}],124:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],p=r[0],d=r[1],m=r[2],g=r[3];(a=c*p+u*d+f*m+h*g)<0&&(a=-a,p=-p,d=-d,m=-m,g=-g);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*f+l*m,t[3]=s*h+l*g,t}},{}],125:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],126:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(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,c,u=n(t,o);if(r&&1!==r){for(l=0;l max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0,0,0,0);\\n } else {\\n float scale = 1.0;\\n if(distance(highlightId, id) < 0.0001) {\\n scale = highlightScale;\\n }\\n\\n vec4 worldPosition = model * vec4(position, 1);\\n vec4 viewPosition = view * worldPosition;\\n viewPosition = viewPosition / viewPosition.w;\\n vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n gl_Position = clipPosition;\\n interpColor = color;\\n pickId = id;\\n dataCoordinate = position;\\n }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0,0,0,0);\\n } else {\\n float scale = pixelRatio;\\n if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n scale *= highlightScale;\\n }\\n\\n vec4 worldPosition = model * vec4(position, 1.0);\\n vec4 viewPosition = view * worldPosition;\\n vec4 clipPosition = projection * viewPosition;\\n clipPosition /= clipPosition.w;\\n\\n gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n interpColor = color;\\n pickId = id;\\n dataCoordinate = position;\\n }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0,0,0,0);\\n } else {\\n float lscale = pixelRatio * scale;\\n if(distance(highlightId, id) < 0.0001) {\\n lscale *= highlightScale;\\n }\\n\\n vec4 clipCenter = projection * view * model * vec4(position, 1);\\n vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n gl_Position = clipPosition;\\n interpColor = color;\\n pickId = id;\\n dataCoordinate = dataPosition;\\n }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (\\n outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n interpColor.a * opacity == 0.\\n ) discard;\\n gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},m={vertex:o,fragment:c,attributes:u},g={vertex:s,fragment:c,attributes:u};function v(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}r.createPerspective=function(t){return v(t,f)},r.createOrtho=function(t){return v(t,h)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,m)},r.createPickProject=function(t){return v(t,g)}},{\"gl-shader\":132,glslify:231}],128:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),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 m(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,c,u,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=c,this.pickOrthoShader=u,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}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),m=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}]),v=new g(e,r,n,o,f,h,p,d,m,s,c,u);return v.update(t),v};var v=g.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.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 y=[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}function L(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||f,u=r.view||f,h=r.projection||f,d=e.axesBounds,m=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],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=h,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=m,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 v=T,L=0;L<16;++L)v[L]=0;for(L=0;L<4;++L)v[5*L]=1;v[5*g]=0,i[g]<0?v[12+g]=d[0][g]:v[12+g]=d[1][g],s(v,c,v),l.model=v;var C=(g+1)%3,P=(g+2)%3,I=M(x),O=M(b);I[C]=1,O[P]=1;var z=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,O));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=I,I=O,O=R;var F=C;C=P,P=F}z[0]<0&&(I[C]=-1),D[1]>0&&(O[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);I[C]/=Math.sqrt(B),O[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=O,l.fragClipBounds[0]=E(k,m[0],g,-1e8),l.fragClipBounds[1]=E(k,m[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()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&L(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,i){var a;a=Array.isArray(t)?e=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},v.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]},v.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){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=m(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=m(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n0){var O=0,z=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n0?1-M[0][0]:Y<0?1+M[1][0]:1,W*=W>0?1-M[0][1]:W<0?1+M[1][1]:1],Z=k.cells||[],J=k.positions||[];for(T=0;T0){var v=r*u;o.drawBox(f-v,h-v,p+v,h+v,a),o.drawBox(f-v,d-v,p+v,d+v,a),o.drawBox(f-v,h-v,f+v,d+v,a),o.drawBox(p-v,h-v,p+v,d+v,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":129,\"gl-buffer\":78,\"gl-shader\":132}],131:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],a=e[1],o=n(t,r,a,{}),s=i.mallocUint8(r*a*4);return new l(t,o,s)};var n=t(\"gl-fbo\"),i=t(\"typedarray-pool\"),a=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function 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c=u(n);Object.defineProperty(t,e,{get:a(c),set:l(n),enumerable:!0,configurable:!1})}else s[n]?Object.defineProperty(t,e,{get:(f=n,function(t,e,r){return t.getUniform(e.program,r[f])}),set:l(n),enumerable:!0,configurable:!1}):t[e]=function(t){switch(t){case\"bool\":return!1;case\"int\":case\"sampler2D\":case\"samplerCube\":case\"float\":return 0;default:var e=t.indexOf(\"vec\");if(0<=e&&e<=1&&t.length===4+e){if((r=t.charCodeAt(t.length-1)-48)<2||r>4)throw new i(\"\",\"Invalid data type\");return\"b\"===t.charAt(0)?o(r,!1):o(r,0)}if(0===t.indexOf(\"mat\")&&4===t.length){var r;if((r=t.charCodeAt(t.length-1)-48)<2||r>4)throw new i(\"\",\"Invalid uniform dimension type for matrix \"+name+\": \"+t);return o(r*r,0)}throw new i(\"\",\"Unknown uniform data type for \"+name+\": \"+t)}}(r[n].type);var f}function u(t){var e;if(Array.isArray(t)){e=new Array(t.length);for(var r=0;r1){s[0]in a||(a[s[0]]=[]),a=a[s[0]];for(var l=1;l1)for(var l=0;l 0 U ||b|| > 0.\\n // Assign z = 0, x = -b, y = a:\\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n return normalize(vec3(-v.y, v.x, 0.0));\\n } else {\\n return normalize(vec3(0.0, v.z, -v.y));\\n }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n float segmentCount = 8.0;\\n\\n float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n vec3 u = getOrthogonalVector(d);\\n vec3 v = normalize(cross(u, d));\\n\\n vec3 x = u * cos(angle) * length(d);\\n vec3 y = v * sin(angle) * length(d);\\n vec3 v3 = x + y;\\n\\n normal = normalize(v3);\\n\\n return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n // Scale the vector magnitude to stay constant with\\n // model & view changes.\\n vec3 normal;\\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n //Lighting geometry parameters\\n vec4 cameraCoordinate = view * tubePosition;\\n cameraCoordinate.xyz /= cameraCoordinate.w;\\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n // vec4 m_position = model * vec4(tubePosition, 1.0);\\n vec4 t_position = view * tubePosition;\\n gl_Position = projection * t_position;\\n\\n f_color = color;\\n f_data = tubePosition.xyz;\\n f_position = position.xyz;\\n f_uv = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n float NdotH = max(x, 0.0001);\\n float cos2Alpha = NdotH * NdotH;\\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n float roughness2 = roughness * roughness;\\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n vec3 lightDirection,\\n vec3 viewDirection,\\n vec3 surfaceNormal,\\n float roughness,\\n float fresnel) {\\n\\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n //Half angle vector\\n vec3 H = normalize(lightDirection + viewDirection);\\n\\n //Geometric term\\n float NdotH = max(dot(surfaceNormal, H), 0.0);\\n float VdotH = max(dot(viewDirection, H), 0.000001);\\n float LdotH = max(dot(lightDirection, H), 0.000001);\\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n float G = min(1.0, min(G1, G2));\\n \\n //Distribution term\\n float D = beckmannDistribution(NdotH, roughness);\\n\\n //Fresnel term\\n float F = pow(1.0 - VdotN, fresnel);\\n\\n //Multiply terms and done\\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n vec3 N = normalize(f_normal);\\n vec3 L = normalize(f_lightDirection);\\n vec3 V = normalize(f_eyeDirection);\\n\\n if(gl_FrontFacing) {\\n N = -N;\\n }\\n\\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\\n\\n gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n // Return up-vector for only-z vector.\\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\\n // Assign z = 0, x = -b, y = a:\\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n return normalize(vec3(-v.y, v.x, 0.0));\\n } else {\\n return normalize(vec3(0.0, v.z, -v.y));\\n }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n float segmentCount = 8.0;\\n\\n float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n vec3 u = getOrthogonalVector(d);\\n vec3 v = normalize(cross(u, d));\\n\\n vec3 x = u * cos(angle) * length(d);\\n vec3 y = v * sin(angle) * length(d);\\n vec3 v3 = x + y;\\n\\n normal = normalize(v3);\\n\\n return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n vec3 normal;\\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n gl_Position = projection * view * tubePosition;\\n f_id = id;\\n f_position = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:231}],143:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),i=t(\"gl-vec4\"),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,a){for(var o=0,s=0;s0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(y,v,v,v,y,y),d.push(m,g,g,g,m,m);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=y;y=v,v=S;var E=m;m=g,g=E}return{positions:c,cells:u,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;se)return r-1}return r},l=function(t,e,r){return tr?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;nf-1||y>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][v],E=a[1][m],L=a[1][y],C=a[2][g],P=(o-M)/(S-M),I=(c-E)/(L-E),O=(u-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(O)||(O=.5),r.reversedX&&(d=f-1-d,v=f-1-v),r.reversedY&&(m=h-1-m,y=h-1-y),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=m*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=g,A=x,b=d*p,_=v*p,w=m*p*f,T=y*p*f;break;case 3:w=m,T=y,k=g*h,A=x*h,b=d*h*p,_=v*h*p;break;case 2:w=m,T=y,b=d*h,_=v*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=v,k=g*f,A=x*f,w=m*f*p,T=y*f*p;break;default:b=d,_=v,w=m*f,T=y*f,k=g*f*h,A=x*f*h}var z=i[b+w+k],D=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,z,B,P),n.lerp(H,D,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,q,I),n.lerp(W,H,G,I);var X=n.create();return n.lerp(X,Y,W,O),X}(e,t,p)},m=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(eb||r_||nw)},k=10*n.distance(e[0],e[1])/i,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,l=0;lS&&(S=F),D.push(F),g.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*i&&P.lengthA&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),O=d(N),n.squaredDistance(z,N)-A>-1e-4*A){P.push(N),z=N,I.push(O);R=m(N,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var U=o(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var u=t(\"./lib/shaders\"),f=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return f(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":142,\"gl-cone3d\":79,\"gl-vec3\":169,\"gl-vec4\":205}],144:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),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 \\u2014 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\"]);r.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},r.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},r.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},r.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}},{\"gl-shader\":132,glslify:231}],145:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,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}]),m=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);m.minFilter=e.LINEAR,m.magFilter=e.LINEAR;var g=new M(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,m,s,l,f,h,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\"jet\",g.update(v),g};var n=t(\"bit-twiddle\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),f=t(\"ndarray\"),h=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),m=t(\"binary-search-bounds\"),g=t(\"ndarray-gradient\"),v=t(\"./lib/shaders\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.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(){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}}();function M(t,e,r,n,i,a,o,l,c,u,h,p,d,m,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=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=m,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=M.prototype;S.genColormap=function(t,e){var r=!1,n=u([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;rt&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},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 c=L.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return 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},I=w.slice(),O=[1,0,0,0,1,0,0,0,1];function z(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=O,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=C(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var 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>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var f=u?a:1-a,h=0;h<2;++h)for(var p=i+u,d=s+h,g=f*(h?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*g;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=m.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]Math.abs(_-c[x])&&(y[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],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},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 c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==a[v])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=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 m=[0,0];m[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],m,0)}this._field[0].set(0,0,0);for(var v=0;v0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;oi||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 m(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 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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=u(t)?t:t.raw;if(l){this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l)}else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,c,u){var h=u.dtype,p=u.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,v=m(p,u.stride.slice());\"float32\"===h?d=t.FLOAT:\"float64\"===h?(d=t.FLOAT,v=!1,h=\"float32\"):\"uint8\"===h?d=t.UNSIGNED_BYTE:(d=t.UNSIGNED_BYTE,v=!1,h=\"uint8\");if(2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],u=n(u.data,p,[u.stride[0],u.stride[1],1],u.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]}g!==t.LUMINANCE&&g!==t.ALPHA||s!==t.LUMINANCE&&s!==t.ALPHA||(g=s);if(g!==s)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var y=u.size,x=c.indexOf(o)<0;x&&c.push(o);if(d===l&&v)0===u.offset&&u.data.length===y?x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,u.data):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,u.data):x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,u.data.subarray(u.offset,u.offset+y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,u.data.subarray(u.offset,u.offset+y));else{var b;b=l===t.FLOAT?a.mallocFloat32(y):a.mallocUint8(y);var _=n(b,p,[p[2],p[2]*p[0],1]);d===t.FLOAT&&l===t.UNSIGNED_BYTE?f(_,u):i.assign(_,u),x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,b.subarray(0,y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,b.subarray(0,y)),l===t.FLOAT?a.freeFloat32(b):a.freeUint8(b)}}(s,e,r,o,this.format,this.type,this._mipLevels,t)}}},{ndarray:259,\"ndarray-ops\":254,\"typedarray-pool\":308}],147:[function(t,e,r){\"use strict\";e.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 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i=t.distance;i&&i>0&&this.radius.set(e,Math.log(i)),this.setDistanceLimits(t.zoomMin,t.zoomMax)}},{\"./lib/quatFromFrame\":262,\"filtered-vector\":68,\"gl-mat4/fromQuat\":95,\"gl-mat4/invert\":98,\"gl-mat4/lookAt\":99}],264:[function(t,e,r){\n", + "/*!\n", + " * pad-left \n", + " *\n", + " * Copyright (c) 2014-2015, Jon Schlinkert.\n", + " * Licensed under the MIT license.\n", + " */\n", + "\"use strict\";var n=t(\"repeat-string\");e.exports=function(t,e,r){return n(r=void 0!==r?r+\"\":\" \",e)+t}},{\"repeat-string\":277}],265:[function(t,e,r){e.exports=function(t,e){e||(e=[0,\"\"]),t=String(t);var r=parseFloat(t,10);return e[0]=r,e[1]=t.match(/[\\d.\\-\\+]*\\s*(.*)/)[1]||\"\",e}},{}],266:[function(t,e,r){\"use strict\";e.exports=function(t,e){for(var r=0|e.length,i=t.length,a=[new Array(r),new Array(r)],o=0;o0){o=a[u][r][0],l=u;break}s=o[1^l];for(var f=0;f<2;++f)for(var h=a[f][r],p=0;p0&&(o=d,s=m,l=f)}return i||o&&c(o,l),s}function f(t,r){var i=a[r][t][0],o=[t];c(i,r);for(var 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r=t.length*e;if(n!==t||void 0===n)n=t,i=\"\";else if(i.length>=r)return i.substr(0,r);for(;r>i.length&&e>1;)1&e&&(i+=t),e>>=1,t+=t;return i=(i+=t).substr(0,r)}},{}],278:[function(t,e,r){(function(t){(function(){e.exports=t.performance&&t.performance.now?function(){return performance.now()}:Date.now||function(){return+new Date}}).call(this)}).call(this,void 0!==n?n:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{}],279:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.length,r=t[t.length-1],n=e,i=e-2;i>=0;--i){var a=r,o=t[i];(l=o-((r=a+o)-a))&&(t[--n]=r,r=l)}var s=0;for(i=n;i0){if(a<=0)return o;n=i+a}else{if(!(i<0))return o;if(a>=0)return o;n=-(i+a)}var s=33306690738754716e-32*n;return o>=s||o<=-s?o:f(t,e,r)},function(t,e,r,n){var i=t[0]-n[0],a=e[0]-n[0],o=r[0]-n[0],s=t[1]-n[1],l=e[1]-n[1],c=r[1]-n[1],u=t[2]-n[2],f=e[2]-n[2],p=r[2]-n[2],d=a*c,m=o*l,g=o*s,v=i*c,y=i*l,x=a*s,b=u*(d-m)+f*(g-v)+p*(y-x),_=7771561172376103e-31*((Math.abs(d)+Math.abs(m))*Math.abs(u)+(Math.abs(g)+Math.abs(v))*Math.abs(f)+(Math.abs(y)+Math.abs(x))*Math.abs(p));return b>_||-b>_?b:h(t,e,r,n)}];function d(t){var e=p[t.length];return e||(e=p[t.length]=u(t.length)),e.apply(void 0,t)}function m(t,e,r,n,i,a,o){return function(e,r,s,l,c){switch(arguments.length){case 0:case 1:return 0;case 2:return n(e,r);case 3:return i(e,r,s);case 4:return a(e,r,s,l);case 5:return o(e,r,s,l,c)}for(var u=new Array(arguments.length),f=0;f0&&o>0||a<0&&o<0)return!1;var s=n(r,t,e),l=n(i,t,e);if(s>0&&l>0||s<0&&l<0)return!1;if(0===a&&0===o&&0===s&&0===l)return function(t,e,r,n){for(var i=0;i<2;++i){var a=t[i],o=e[i],s=Math.min(a,o),l=Math.max(a,o),c=r[i],u=n[i],f=Math.min(c,u);if(Math.max(c,u)=n?(i=f,(l+=1)=n?(i=f,(l+=1)>1,c=e[2*l+1];if(c===a)return 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n=t(\"robust-orientation\"),i=t(\"simplicial-complex\")},{\"robust-orientation\":284,\"simplicial-complex\":295}],298:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r,a,o,s;if(e[0][0]e[1][0]))return i(e,t);r=e[1],a=e[0]}if(t[0][0]t[1][0]))return-i(t,e);o=t[1],s=t[0]}var l=n(r,a,s),c=n(r,a,o);if(l<0){if(c<=0)return l}else if(l>0){if(c>=0)return l}else if(c)return c;if(l=n(s,o,a),c=n(s,o,r),l<0){if(c<=0)return l}else if(l>0){if(c>=0)return l}else if(c)return c;return a[0]-s[0]};var n=t(\"robust-orientation\");function i(t,e){var r,i,a,o;if(e[0][0]e[1][0])){var s=Math.min(t[0][1],t[1][1]),l=Math.max(t[0][1],t[1][1]),c=Math.min(e[0][1],e[1][1]),u=Math.max(e[0][1],e[1][1]);return lu?s-u:l-u}r=e[1],i=e[0]}t[0][1]0)if(e[0]!==o[1][0])r=t,t=t.right;else{if(l=c(t.right,e))return l;t=t.left}else{if(e[0]!==o[1][0])return t;var l;if(l=c(t.right,e))return l;t=t.left}}return r}function u(t,e,r,n){this.y=t,this.index=e,this.start=r,this.closed=n}function f(t,e,r,n){this.x=t,this.segment=e,this.create=r,this.index=n}s.prototype.castUp=function(t){var e=n.le(this.coordinates,t[0]);if(e<0)return-1;this.slabs[e];var r=c(this.slabs[e],t),i=-1;if(r&&(i=r.value),this.coordinates[e]===t[0]){var s=null;if(r&&(s=r.key),e>0){var u=c(this.slabs[e-1],t);u&&(s?o(u.key,s)>0&&(s=u.key,i=u.value):(i=u.value,s=u.key))}var f=this.horizontal[e];if(f.length>0){var h=n.ge(f,t[1],l);if(h=f.length)return i;p=f[h]}}if(p.start)if(s){var d=a(s[0],s[1],[t[0],p.y]);s[0][0]>s[1][0]&&(d=-d),d>0&&(i=p.index)}else i=p.index;else p.y!==t[1]&&(i=p.index)}}}return i}},{\"./lib/order-segments\":298,\"binary-search-bounds\":31,\"functional-red-black-tree\":69,\"robust-orientation\":284}],300:[function(t,e,r){\"use strict\";var n=t(\"robust-dot-product\"),i=t(\"robust-sum\");function a(t,e){var r=i(n(t,e),[e[e.length-1]]);return r[r.length-1]}function o(t,e,r,n){var i=-e/(n-e);i<0?i=0:i>1&&(i=1);for(var a=1-i,o=t.length,s=new Array(o),l=0;l0||i>0&&u<0){var f=o(s,u,l,i);r.push(f),n.push(f.slice())}u<0?n.push(l.slice()):u>0?r.push(l.slice()):(r.push(l.slice()),n.push(l.slice())),i=u}return{positive:r,negative:n}},e.exports.positive=function(t,e){for(var r=[],n=a(t[t.length-1],e),i=t[t.length-1],s=t[0],l=0;l0||n>0&&c<0)&&r.push(o(i,c,s,n)),c>=0&&r.push(s.slice()),n=c}return r},e.exports.negative=function(t,e){for(var r=[],n=a(t[t.length-1],e),i=t[t.length-1],s=t[0],l=0;l0||n>0&&c<0)&&r.push(o(i,c,s,n)),c<=0&&r.push(s.slice()),n=c}return r}},{\"robust-dot-product\":281,\"robust-sum\":289}],301:[function(t,e,r){!function(){\"use strict\";var t={not_string:/[^s]/,not_bool:/[^t]/,not_type:/[^T]/,not_primitive:/[^v]/,number:/[diefg]/,numeric_arg:/[bcdiefguxX]/,json:/[j]/,not_json:/[^j]/,text:/^[^\\x25]+/,modulo:/^\\x25{2}/,placeholder:/^\\x25(?:([1-9]\\d*)\\$|\\(([^)]+)\\))?(\\+)?(0|'[^$])?(-)?(\\d+)?(?:\\.(\\d+))?([b-gijostTuvxX])/,key:/^([a-z_][a-z_\\d]*)/i,key_access:/^\\.([a-z_][a-z_\\d]*)/i,index_access:/^\\[(\\d+)\\]/,sign:/^[+-]/};function e(t){return i(o(t),arguments)}function n(t,r){return e.apply(null,[t].concat(r||[]))}function i(r,n){var 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p=h.prototype;p.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},p.getDistanceLimits=function(t){var e=this.radius.bounds[0];return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},p.recalcMatrix=function(t){this.center.curve(t),this.up.curve(t),this.right.curve(t),this.radius.curve(t),this.angle.curve(t);for(var e=this.computedUp,r=this.computedRight,n=0,i=0,a=0;a<3;++a)i+=e[a]*r[a],n+=e[a]*e[a];var l=Math.sqrt(n),u=0;for(a=0;a<3;++a)r[a]-=e[a]*i/n,u+=r[a]*r[a],e[a]/=l;var f=Math.sqrt(u);for(a=0;a<3;++a)r[a]/=f;var h=this.computedToward;o(h,e,r),s(h,h);var p=Math.exp(this.computedRadius[0]),d=this.computedAngle[0],m=this.computedAngle[1],g=Math.cos(d),v=Math.sin(d),y=Math.cos(m),x=Math.sin(m),b=this.computedCenter,_=g*y,w=v*y,T=x,k=-g*x,A=-v*x,M=y,S=this.computedEye,E=this.computedMatrix;for(a=0;a<3;++a){var L=_*r[a]+w*h[a]+T*e[a];E[4*a+1]=k*r[a]+A*h[a]+M*e[a],E[4*a+2]=L,E[4*a+3]=0}var C=E[1],P=E[5],I=E[9],O=E[2],z=E[6],D=E[10],R=P*D-I*z,F=I*O-C*D,B=C*z-P*O,N=c(R,F,B);R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B;for(a=0;a<3;++a)S[a]=b[a]+E[2+4*a]*p;for(a=0;a<3;++a){u=0;for(var j=0;j<3;++j)u+=E[a+4*j]*S[j];E[12+a]=-u}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,c=0;c<3;++c)i[4*c]=o[c],i[4*c+1]=s[c],i[4*c+2]=l[c];a(i,i,n,d);for(c=0;c<3;++c)o[c]=i[4*c],s[c]=i[4*c+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},p.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var 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i=(n=n||this.computedUp)[0],a=n[1],o=n[2],s=c(i,a,o);if(!(s<1e-6)){i/=s,a/=s,o/=s;var l=e[0]-r[0],f=e[1]-r[1],h=e[2]-r[2],p=c(l,f,h);if(!(p<1e-6)){l/=p,f/=p,h/=p;var d=this.computedRight,m=d[0],g=d[1],v=d[2],y=i*m+a*g+o*v,x=c(m-=y*i,g-=y*a,v-=y*o);if(!(x<.01&&(x=c(m=a*h-o*f,g=o*l-i*h,v=i*f-a*l))<1e-6)){m/=x,g/=x,v/=x,this.up.set(t,i,a,o),this.right.set(t,m,g,v),this.center.set(t,r[0],r[1],r[2]),this.radius.set(t,Math.log(p));var b=a*v-o*g,_=o*m-i*v,w=i*g-a*m,T=c(b,_,w),k=i*l+a*f+o*h,A=m*l+g*f+v*h,M=(b/=T)*l+(_/=T)*f+(w/=T)*h,S=Math.asin(u(k)),E=Math.atan2(M,A),L=this.angle._state,C=L[L.length-1],P=L[L.length-2];C%=2*Math.PI;var I=Math.abs(C+2*Math.PI-E),O=Math.abs(C-E),z=Math.abs(C-2*Math.PI-E);I0?r.pop():new ArrayBuffer(t)}function d(t){return new Uint8Array(p(t),0,t)}function m(t){return new Uint16Array(p(2*t),0,t)}function g(t){return new Uint32Array(p(4*t),0,t)}function v(t){return new Int8Array(p(t),0,t)}function y(t){return new Int16Array(p(2*t),0,t)}function x(t){return new 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t=0;t<32;++t)c.UINT8[t].length=0,c.UINT16[t].length=0,c.UINT32[t].length=0,c.INT8[t].length=0,c.INT16[t].length=0,c.INT32[t].length=0,c.FLOAT[t].length=0,c.DOUBLE[t].length=0,c.BIGUINT64[t].length=0,c.BIGINT64[t].length=0,c.UINT8C[t].length=0,u[t].length=0,f[t].length=0}}).call(this)}).call(this,void 0!==n?n:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{\"bit-twiddle\":32,buffer:3,dup:65}],309:[function(t,e,r){\"use strict\";function n(t){this.roots=new Array(t),this.ranks=new Array(t);for(var e=0;e0&&(a=n.size),n.lineSpacing&&n.lineSpacing>0&&(o=n.lineSpacing),n.styletags&&n.styletags.breaklines&&(s.breaklines=!!n.styletags.breaklines),n.styletags&&n.styletags.bolds&&(s.bolds=!!n.styletags.bolds),n.styletags&&n.styletags.italics&&(s.italics=!!n.styletags.italics),n.styletags&&n.styletags.subscripts&&(s.subscripts=!!n.styletags.subscripts),n.styletags&&n.styletags.superscripts&&(s.superscripts=!!n.styletags.superscripts));return r.font=[n.fontStyle,n.fontVariant,n.fontWeight,a+\"px\",n.font].filter((function(t){return t})).join(\" \"),r.textAlign=\"start\",r.textBaseline=\"alphabetic\",r.direction=\"ltr\",h(function(t,e,r,n,a,o){r=r.replace(/\\n/g,\"\"),r=!0===o.breaklines?r.replace(/\\/g,\"\\n\"):r.replace(/\\/g,\" \");var s=\"\",l=[];for(p=0;p-1?parseInt(t[1+i]):0,l=a>-1?parseInt(r[1+a]):0;s!==l&&(n=n.replace(S(),\"?px \"),g*=Math.pow(.75,l-s),n=n.replace(\"?px \",S())),m+=.25*x*(l-s)}if(!0===o.superscripts){var c=t.indexOf(\"+\"),u=r.indexOf(\"+\"),f=c>-1?parseInt(t[1+c]):0,h=u>-1?parseInt(r[1+u]):0;f!==h&&(n=n.replace(S(),\"?px \"),g*=Math.pow(.75,h-f),n=n.replace(\"?px \",S())),m-=.25*x*(h-f)}if(!0===o.bolds){var p=t.indexOf(\"b|\")>-1,d=r.indexOf(\"b|\")>-1;!p&&d&&(n=v?n.replace(\"italic \",\"italic bold \"):\"bold \"+n),p&&!d&&(n=n.replace(\"bold \",\"\"))}if(!0===o.italics){var v=t.indexOf(\"i|\")>-1,y=r.indexOf(\"i|\")>-1;!v&&y&&(n=\"italic \"+n),v&&!y&&(n=n.replace(\"italic 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e=!!n.delete(t);return i&&i.delete___(t)||e}))},permitHostObjects___:{value:y((function(t){if(t!==m)throw new Error(\"bogus call to permitHostObjects___\");a=!0}))}})}t&&\"undefined\"!=typeof Proxy&&(Proxy=void 0),n.prototype=d.prototype,e.exports=n,Object.defineProperty(WeakMap.prototype,\"constructor\",{value:WeakMap,enumerable:!1,configurable:!0,writable:!0})}():(\"undefined\"!=typeof Proxy&&(Proxy=void 0),e.exports=d)}function m(t){t.permitHostObjects___&&t.permitHostObjects___(m)}function g(t){return!(\"weakmap:\"==t.substr(0,\"weakmap:\".length)&&\"___\"===t.substr(t.length-3))}function v(t){if(t!==Object(t))throw new TypeError(\"Not an object: \"+t);var e=t[l];if(e&&e.key===t)return e;if(s(t)){e={key:t};try{return o(t,l,{value:e,writable:!1,enumerable:!1,configurable:!1}),e}catch(t){return}}}function y(t){return t.prototype=null,Object.freeze(t)}function x(){h||\"undefined\"==typeof console||(h=!0,console.warn(\"WeakMap should be invoked as new WeakMap(), not WeakMap(). 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u=0,f=s;for(u=0;u=0!=p>=0&&i.push(l[0]+.5+.5*(h+p)/(h-p)),n+=f,++l[0]}}};e.exports=(n={funcName:{funcName:\"zeroCrossings\"}.funcName},function(t){var e={};return function(r,n,i){var a=r.dtype,o=r.order,s=[a,o.join()].join(),l=e[s];return l||(e[s]=l=t([a,o])),l(r.shape.slice(0),r.data,r.stride,0|r.offset,n,i)}}(i.bind(void 0,n)))},{}],318:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=[];return e=+e||0,n(t.hi(t.shape[0]-1),r,e),r};var n=t(\"./lib/zc-core\")},{\"./lib/zc-core\":317}]},{},[6])(6)}))}).call(this)}).call(this,\"undefined\"!=typeof global?global:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{}]},{},[27])(27)}));\n", + " });\n", + " require(['plotly'], function(Plotly) {\n", + " window._Plotly = Plotly;\n", + " });\n", + " }\n", + " \n", + " " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, { "data": { "application/vnd.plotly.v1+json": { @@ -81,18 +167,42 @@ { "marker": { "color": [ + 0.06060606060606061, + 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"Benzanthracene/Benzophenanthrene", + "Benzofluoranthene", + "Benzo(k)fluoranthene", + "Benzo[e]pyrene", + "Benzo(a)pyrene", + "Indeno[1,2,3-cd]pyrene", + "Benzo(g,h,i)perylene", + "Anthanthrene", + "Dibenzanthracene", + "Coronene", + "Dicofol", + "Benzophenone", + "2-tert-Butyl-4-methoxyphenol", + "Butylated hydroxytoluene", + "4-Methylbenzophenone", + "2,4,6-Tribromophenol", + "2,6-Dichloro-4-nitroaniline", + "1-Methylphenanthrene", + "Triclosan", + "2,2',3,4,5,5',6-Heptachlorobiphenyl", + "2,4,6-Trichlorobiphenyl", + "2,2',3,3',4,5',6,6'-Octachlorobiphenyl", + "Pentachlorobenzene", + "Hexachlorobenzene", + "2,4'-Dichlorodiphenyldichloroethylene", + "2,4'-Dichlorodiphenyldichloroethane", + "2,4'-Dichlorodiphenyltrichloroethane", + "2,4,4'-Trichlorobiphenyl", + "2,2',4,5,5'-Pentachlorobiphenyl", + "2,3',4,4',5-Pentachlorobiphenyl", + "2,2',3,4,4',5'-Hexachlorobiphenyl", + "2,2',4,4',5,5'-Hexachlorobiphenyl", + "2,2',3,4,4',5,5'-Heptachlorobiphenyl", + "2,2',5,5'-Tetrachlorobiphenyl", + "2,3',4,6-Tetrachlorobiphenyl", + "2,3',5',6-Tetrachlorobiphenyl", + "2,2',3,4',5-Pentachlorobiphenyl", + "2,3,3',4,5-Pentachlorobiphenyl", + "3,3',4,5,5'-Pentachlorobiphenyl", + "2,3',4,4',5',6-Hexachlorobiphenyl", + "2,3,3',4,5,6-Hexachlorobiphenyl", + "2,3,3',4',5',6-Hexachlorobiphenyl", + "2,3,3',4',5,6-Hexachlorobiphenyl", + "2,3,3',4',5,5',6-Heptachlorobiphenyl", + "Bifenthrin", + "Fenpropathrin", + "Tefluthrin", + "Transfluthrin", + "2,3,4,5-Tetrabromo-6-chlorotoluene", + "2,3,4,5,6-Pentabromotoluene", + "2,3,4,5,6-Pentabromoethylbenzene", + "2,3,5,6-Tetrabromo-p-xylene", + "Allyl 2,4,6-tribromophenyl ether", + "2-Bromoallyl(2,4,6-tribromophenyl) ether", + "Pentabromobenzene", + "Hexabromobenzene", + "2,3,4,5,6-Pentabromobenzyl alcohol", + "2-Ethylhexyl 2,3,4,5-Tetrabromobenzoate", + "1-Fluronaphthalene", + "Lilial", + "Eugenol", + "Isoeugenol", + "4-Methoxybenzyl alcohol", + "Methyleugenol", + "Benzyl alcohol", + "Estragole", + "Benzyl benzoate", + "Benzyl salicylate", + "Celestolide", + "Phantolide", + "Tonalide", + "Traseolide", + "4,4'-Dichlorodiphenyldichloroethylene", + "Methoxychlor", + "4,4'-Dichlorodiphenyldichloroethane", + "4,4'-Dichlorodiphenyltrichloroethane", + "1,4-Chrysenequinone", + "Hydroxychrysene", + "1-Nitronaphthalene", + "Hydroxyfluoren-9-one", + "1,4-Naphthoquinone", + "2-Methylnaphthalene", + "1-Methylnaphthalene", + "2,6-Dimethylnaphthalene", + "1,3-Dimethylnaphthalene", + "1,4-Dimethylnaphthalene", + "1,5-Dimethylnaphthalene", + "1,2-Dimethylnaphthalene", + "1,8-Dimethylnaphthalene", + "7,12-Dimethylbenz[a]anthracene", + "2,4-D butyl ester", + "Dimethachlor", + "Alachlor", + "Fenoxaprop-ethyl", + "Metazachlor", + "Metolachlor", + "Pendimethalin", + "Trifluralin", + "2,2',3,4,4',5',6-Heptabromodiphenyl ether", + "2-Chlorobiphenyl", + "2,3-Dichlorobiphenyl", + "2,2',5-Trichlorobiphenyl", + "2,4',5-Trichlorobiphenyl", + "2,2',3,5'-Tetrachlorobiphenyl", + "2,3',4,4'-Tetrachlorobiphenyl", + "2,2',3,4',5,5',6-Heptachlorobiphenyl", + "2,2',3,4,4',5',6-Heptachlorobiphenyl", + "2,2',3,3',4,4',5-Heptachlorobiphenyl", + "2,2',3,4,5'-Pentachlorobiphenyl", + "2,3,3',4',6-Pentachlorobiphenyl", + "2,2',3,3',4,4',5,5',6-Nonachlorobiphenyl", + "2,2',3,5,5',6-Hexachlorobiphenyl", + "2,2',3,4',5,5',6-Heptachloro-4-methoxybiphenyl", + "2,2',3',4,4',5-Hexachloro-3-methoxybiphenyl", + "2,2',3,4',5,5'-Hexachloro-4-methoxybiphenyl", + "2,2',3,4,5,5'-Hexachlorobiphenyl", + "Mexacarbate", + "Aminocarb", + "Isocarbophos", + "Carbaryl", + "Dimethomorph_isomer2", + "Ethiofencarb", + "Methiocarb", + "Iprovalicarb isomer 2", + "Iprovalicarb isomer 1", + "Propham", + "Propoxur", + "Thiobencarb", + "Isoprocarb", + "Linuron", + "Metobromuron", + "Monolinuron", + "Siduron", + "Bifenazate", + "Diethofencarb", + "Diflubenzuron", + "Fenobucarb", + "Dioxacarb", + "Promecarb", + "Fenoxycarb", + "Indoxacarb", + "Azoxystrobin", + "Benzoximate", + "Boscalid", + "Butafenacil", + "Carbetamide", + "Fenhexamid", + "Flutolanil", + "Furalaxyl", + "Kresoxim-methyl", + "Mepanipyrim", + "Mepronil", + "Myclobutanil", + "Oxadixyl", + "Picoxystrobin", + "Pyracarbolid", + "Pyrimethanil", + "Pyriproxyfen", + "Triadimefon", + "Trifloxystrobin", + "Zoxamide", + "Amitraz", + "Tebufenpyrad", + "Enilconazole", + "Carboxin", + "Flufenacet", + "Propargite_isomer1", + "Propargite_isomer2", + "Pyridaben", + "Bitertanol_isomer1", + "Bitertanol_isomer2", + "Bromuconazole_isomer1", + "Bromuconazole_isomer2", + "Cyproconazole_isomer1", + "Cyproconazole_isomer2", + "Diclobutrazol", + "Difenoconazole_isomer1", + "Difenoconazole_isomer2", + "Etoxazole", + "Fenarimol", + "Flusilazole", + "Flutriafol", + "Hexaconazole", + "Nuarimol", + "Paclobutrazol", + "Penconazole", + "Propiconazole_isomer1", + "Propiconazole_isomer2", + "Tebuconazole", + "Tetraconazole", + "Triadimenol_isomer1", + "Triadimenol_isomer2", + "Triflumizole", + "Triticonazole", + "Fenpropimorph_isomer1", + "Fenpropimorph_isomer2", + "Spirodiclofen", + "Spirotetramat", + "Bisphenol A", + "4-tert-Octylphenol" + ], + "textposition": "middle right", "type": "scatter", "x": [ 0.0090065681789311, @@ -723,9 +916,7 @@ 0.6630549193804035, 0.8205084248661962, 0.6095531107800553, - 0.0157440512643996, - 0.2553272216278209, - 0.721218257323351, + 0.5906965052777083, 0.7705802424523864, 0.74161091321123, 0.5549186808916206, @@ -741,11 +932,13 @@ 0.7663676327514841, 0.6975873675879248, 0.482563393757889, + 0.0959163038789531, 0.1649135006484536, 0.4046123483478726, 0.5571213997533517, 0.0754423884309527, 0.1973104191285521, + 0.0518014536884609, 0.3155609518766191, 0.9026045506156012, 0.7670229899444668, @@ -891,7 +1084,6 @@ 36, 26, 43, - 18, 30, 48, 38, @@ -1069,6 +1261,7 @@ } ], "layout": { + "height": 800, "template": { "data": { "bar": [ @@ -1888,7 +2081,12 @@ "title": { "text": "Benzenoids" }, + "width": 1200, "xaxis": { + "range": [ + 0, + 1 + ], "title": { "text": "Score" } @@ -1901,9 +2099,9 @@ } }, "text/html": [ - "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "azoles = merged[merged['class'] == 'Azoles']\n", + "scatterplot_plotly(azoles, None).write_image(f\"scatterplot_azoles.png\")" + ] + }, + { + "cell_type": "code", + "execution_count": 102, "metadata": {}, "outputs": [ { "data": { - "image/png": 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"text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -7277,8 +8687,8 @@ "import numpy as np\n", "\n", "# Create a scatter plot\n", - "scatterplot_matplotlib(merged)\n", - "#plt.savefig(\"scatter_plot.png\")" + "fig = scatterplot_matplotlib(merged)\n", + "fig.savefig(\"scatterplot_all.png\")" ] } ], diff --git a/analysis/Python_scripts/scatterplot_Benzenoids.png b/analysis/Python_scripts/scatterplot_Benzenoids.png index 3857989f49677eecfc87e05da76f17aff64711a7..0b3b17becf8e90b8843ed64d5510e6d394bd2dbe 100644 GIT binary patch literal 232555 zcmeFZWl&vPvo;C@LU0Mef-Ee!J3&^E;O_435Zo34f_rdx5AGJ+A-FpPclSHER?QHx#;-%NpQmVZXv6p?><> zENM@r5K^ObitXZpLXMvBQ0nU#MA^FRA=Jmw){8Bj|P3zy22Z zTMri+F-X5~9{q2>kAi~pAN%{1Q4oDtD$utq6QRGo9t?wp&j0Fv8~TQk3BmoAj1v9# zDS(9{|8kbTO9>wqet<zC&Wcw16VxR3V-SK+Qzt_s3Y@U%3bO29z919D zSC|6SZkrZ7C3E6^goc75wEeABKI;oc7~zumds1S3tWk)kzu%xH>3_XkSOO%E6vXsW zEH0o#{{pw9rI8%Cc9{46H1&q;ncL-El~##o5h?CeHQdC<0tF`+zpwI-DKcss+;0|d zo`YZcJfgfnz+1!d7}^@M%#3@82q+@s7K8=_3r9nJBrexd`>bUPtn6QoC!~k9S}-Wb 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